results_analysis-facts-over-time.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "043dcb6a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/katemarg/miniconda3/lib/python3.9/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "import argparse\n",
    "import sys\n",
    "import os\n",
    "import json\n",
    "import pprint\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import re\n",
    "import torch\n",
    "from collections import Counter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "38b40238",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/k7/bmn9n_v5383b9njft4lk4w8c0000gr/T/ipykernel_7775/319598504.py:30: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  df = df.append(_df, ignore_index=True)\n",
      "/var/folders/k7/bmn9n_v5383b9njft4lk4w8c0000gr/T/ipykernel_7775/319598504.py:30: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  df = df.append(_df, ignore_index=True)\n",
      "/var/folders/k7/bmn9n_v5383b9njft4lk4w8c0000gr/T/ipykernel_7775/319598504.py:30: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  df = df.append(_df, ignore_index=True)\n",
      "/var/folders/k7/bmn9n_v5383b9njft4lk4w8c0000gr/T/ipykernel_7775/319598504.py:30: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  df = df.append(_df, ignore_index=True)\n",
      "/var/folders/k7/bmn9n_v5383b9njft4lk4w8c0000gr/T/ipykernel_7775/319598504.py:30: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  df = df.append(_df, ignore_index=True)\n",
      "/var/folders/k7/bmn9n_v5383b9njft4lk4w8c0000gr/T/ipykernel_7775/319598504.py:30: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  df = df.append(_df, ignore_index=True)\n",
      "/var/folders/k7/bmn9n_v5383b9njft4lk4w8c0000gr/T/ipykernel_7775/319598504.py:30: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  df = df.append(_df, ignore_index=True)\n",
      "/var/folders/k7/bmn9n_v5383b9njft4lk4w8c0000gr/T/ipykernel_7775/319598504.py:30: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  df = df.append(_df, ignore_index=True)\n",
      "/var/folders/k7/bmn9n_v5383b9njft4lk4w8c0000gr/T/ipykernel_7775/319598504.py:30: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  df = df.append(_df, ignore_index=True)\n",
      "/var/folders/k7/bmn9n_v5383b9njft4lk4w8c0000gr/T/ipykernel_7775/319598504.py:30: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  df = df.append(_df, ignore_index=True)\n",
      "/var/folders/k7/bmn9n_v5383b9njft4lk4w8c0000gr/T/ipykernel_7775/319598504.py:30: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "  df = df.append(_df, ignore_index=True)\n"
     ]
    }
   ],
   "source": [
    "BASE_DIR = \"/Users/katemarg/PycharmProjects/temporal_robustness_evaluation\"\n",
    "DATA_DIR = os.path.join(BASE_DIR, 'data')\n",
    "RES_DIR = os.path.join(BASE_DIR, 'new_results')\n",
    "LOG_DIR = os.path.join(BASE_DIR, 'new_logs')\n",
    "CACHE_DIR = os.path.join(BASE_DIR, 'cached')\n",
    "SINGLE_TOK_RES_DIR = os.path.join(RES_DIR, 'single_token')\n",
    "FOT_RES_DIR = os.path.join(SINGLE_TOK_RES_DIR, 'facts_over_time')\n",
    "\n",
    "models = [\n",
    "            'cardiffnlp/twitter-roberta-base-2019-90m',\n",
    "            'cardiffnlp/twitter-roberta-base-mar2020',\n",
    "            'cardiffnlp/twitter-roberta-base-jun2020',\n",
    "            'cardiffnlp/twitter-roberta-base-sep2020',\n",
    "            'cardiffnlp/twitter-roberta-base-dec2020',\n",
    "            'cardiffnlp/twitter-roberta-base-mar2021',\n",
    "            'cardiffnlp/twitter-roberta-base-jun2021',\n",
    "            'cardiffnlp/twitter-roberta-base-sep2021',\n",
    "            'cardiffnlp/twitter-roberta-base-dec2021',\n",
    "            # 'cardiffnlp/twitter-roberta-base-2021-124m',\n",
    "            'cardiffnlp/twitter-roberta-base-mar2022',\n",
    "            'cardiffnlp/twitter-roberta-base-jun2022'\n",
    "        ]\n",
    "\n",
    "df = pd.DataFrame()\n",
    "for model_name in models:\n",
    "    filename = 'full_results_{}_facts_over_time_single_token.csv'.format(model_name.split('-')[-1])\n",
    "    filepath = os.path.join(FOT_RES_DIR, filename)\n",
    "    _df = pd.read_csv(filepath)\n",
    "    \n",
    "    df = df.append(_df, ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "1139b2b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['model'] = df['model'].apply(lambda x: x.split('-')[-1])\n",
    "df.loc[df['model'] == \"90m\", 'model'] = \"2019-Q4\"\n",
    "df.loc[df['model'] == \"mar2020\", 'model'] = \"2020-Q1\"\n",
    "df.loc[df['model'] == \"jun2020\", 'model'] = \"2020-Q2\"\n",
    "df.loc[df['model'] == \"sep2020\", 'model'] = \"2020-Q3\"\n",
    "df.loc[df['model'] == \"dec2020\", 'model'] = \"2020-Q4\"\n",
    "df.loc[df['model'] == \"mar2021\", 'model'] = \"2021-Q1\"\n",
    "df.loc[df['model'] == \"jun2021\", 'model'] = \"2021-Q2\"\n",
    "df.loc[df['model'] == \"sep2021\", 'model'] = \"2021-Q3\"\n",
    "df.loc[df['model'] == \"dec2021\", 'model'] = \"2021-Q4\"\n",
    "df.loc[df['model'] == \"mar2022\", 'model'] = \"2022-Q1\"\n",
    "df.loc[df['model'] == \"jun2022\", 'model'] = \"2022-Q2\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2372a47e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df['p@100_list']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "46bc8361",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# fig, (ax1, ax2, ax3) = plt.subplots(1,3, figsize=(14, 4), sharey=True)\n",
    "# fig, (ax1, ax2, ax3) = plt.subplots(1,3, figsize=(14, 4), sharex=True)\n",
    "fig, ((ax1, ax2, ax3), (ax4, ax5, ax6)) = plt.subplots(2,3, figsize=(14, 8), sharex=True)\n",
    "# 1. MRR\n",
    "sns.lineplot(\n",
    "    data=df,\n",
    "    x=\"quarter\", \n",
    "    y=\"mrr_list\",\n",
    "    hue=\"model\", \n",
    "    style=\"model\", \n",
    "    palette=sns.color_palette('rocket', n_colors=11),\n",
    "    markers=[\"o\"]*11,\n",
    "    ax=ax1,\n",
    "    ci=None,\n",
    "    legend=False\n",
    ")\n",
    "ax1.set_ylabel(\"MRR\")\n",
    "ax1.tick_params(axis='x', rotation=45)\n",
    "# 2. P@1\n",
    "sns.lineplot(\n",
    "    data=df,\n",
    "    x=\"quarter\", \n",
    "    y=\"p@1_list\",\n",
    "    hue=\"model\", \n",
    "    style=\"model\", \n",
    "    palette=sns.color_palette('rocket', n_colors=11),\n",
    "    markers=[\"o\"]*11,\n",
    "    ax=ax2,\n",
    "    ci=None,\n",
    "    legend=False\n",
    ")\n",
    "ax2.set_ylabel(\"P@1\")\n",
    "ax2.tick_params(axis='x', rotation=45)\n",
    "# 3. P@10\n",
    "sns.lineplot(\n",
    "    data=df,\n",
    "    x=\"quarter\", \n",
    "    y=\"p@10_list\",\n",
    "    hue=\"model\", \n",
    "    style=\"model\", \n",
    "    palette=sns.color_palette('rocket', n_colors=11),\n",
    "    markers=[\"o\"]*11,\n",
    "    ci=None,\n",
    "        legend=False,\n",
    "    ax=ax3\n",
    ")\n",
    "ax3.set_ylabel(\"P@10\")\n",
    "ax3.tick_params(axis='x', rotation=45)\n",
    "# 4. P@20\n",
    "sns.lineplot(\n",
    "    data=df,\n",
    "    x=\"quarter\", \n",
    "    y=\"p@20_list\",\n",
    "    hue=\"model\", \n",
    "    style=\"model\", \n",
    "    palette=sns.color_palette('rocket', n_colors=11),\n",
    "    markers=[\"o\"]*11,\n",
    "    ci=None,\n",
    "        legend=False,\n",
    "    ax=ax4\n",
    ")\n",
    "ax4.set_ylabel(\"P@20\")\n",
    "ax4.tick_params(axis='x', rotation=45)\n",
    "# 5. P@50\n",
    "sns.lineplot(\n",
    "    data=df,\n",
    "    x=\"quarter\", \n",
    "    y=\"p@50_list\",\n",
    "    hue=\"model\", \n",
    "    style=\"model\", \n",
    "    palette=sns.color_palette('rocket', n_colors=11),\n",
    "    markers=[\"o\"]*11,\n",
    "    ci=None,\n",
    "        legend=False,\n",
    "    ax=ax5\n",
    ")\n",
    "ax5.set_ylabel(\"P@50\")\n",
    "ax5.tick_params(axis='x', rotation=45)\n",
    "# 6. P@100\n",
    "sns.lineplot(\n",
    "    data=df,\n",
    "    x=\"quarter\", \n",
    "    y=\"p@100_list\",\n",
    "    hue=\"model\", \n",
    "    style=\"model\", \n",
    "    palette=sns.color_palette('rocket', n_colors=11),\n",
    "    markers=[\"o\"]*11,\n",
    "    ci=None,\n",
    "    ax=ax6\n",
    ")\n",
    "ax6.set_ylabel(\"P@100\")\n",
    "ax6.tick_params(axis='x', rotation=45)\n",
    "ax6.legend(bbox_to_anchor=(1.2, 1), loc='best', borderaxespad=0, title='TimeLMs', prop={'size': 14})\n",
    "\n",
    "plt.rcParams.update({'font.size': 10})\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.savefig('plots/facts_over_time_single_token.png', bbox_inches = 'tight', dpi=500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "2d1122f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>relation</th>\n",
       "      <th>gold_label</th>\n",
       "      <th>pred_label</th>\n",
       "      <th>model</th>\n",
       "      <th>quarter</th>\n",
       "      <th>mrr_list</th>\n",
       "      <th>p@1_list</th>\n",
       "      <th>ranking_position_list</th>\n",
       "      <th>p@10_list</th>\n",
       "      <th>p@20_list</th>\n",
       "      <th>p@50_list</th>\n",
       "      <th>p@100_list</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lewis Hamilton plays for &lt;mask&gt;.</td>\n",
       "      <td>P54</td>\n",
       "      <td>[' Mercedes']</td>\n",
       "      <td>Hamilton</td>\n",
       "      <td>2019-Q4</td>\n",
       "      <td>2021-Q2</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0</td>\n",
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       "      <th>1</th>\n",
       "      <td>Lewis Hamilton plays for &lt;mask&gt;.</td>\n",
       "      <td>P54</td>\n",
       "      <td>[' Mercedes']</td>\n",
       "      <td>Hamilton</td>\n",
       "      <td>2019-Q4</td>\n",
       "      <td>2019-Q3</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Lewis Hamilton plays for &lt;mask&gt;.</td>\n",
       "      <td>P54</td>\n",
       "      <td>[' Mercedes']</td>\n",
       "      <td>Hamilton</td>\n",
       "      <td>2019-Q4</td>\n",
       "      <td>2019-Q4</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Lewis Hamilton plays for &lt;mask&gt;.</td>\n",
       "      <td>P54</td>\n",
       "      <td>[' Mercedes']</td>\n",
       "      <td>Hamilton</td>\n",
       "      <td>2019-Q4</td>\n",
       "      <td>2020-Q2</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Lewis Hamilton plays for &lt;mask&gt;.</td>\n",
       "      <td>P54</td>\n",
       "      <td>[' Mercedes']</td>\n",
       "      <td>Hamilton</td>\n",
       "      <td>2019-Q4</td>\n",
       "      <td>2020-Q4</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</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",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>5091</th>\n",
       "      <td>International Bobsleigh and Skeleton Federatio...</td>\n",
       "      <td>P1412</td>\n",
       "      <td>[' German']</td>\n",
       "      <td>English</td>\n",
       "      <td>2019-Q4</td>\n",
       "      <td>2021-Q4</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>5092</th>\n",
       "      <td>International Bobsleigh and Skeleton Federatio...</td>\n",
       "      <td>P1412</td>\n",
       "      <td>[' German']</td>\n",
       "      <td>English</td>\n",
       "      <td>2019-Q4</td>\n",
       "      <td>2022-Q1</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>5093</th>\n",
       "      <td>International Bobsleigh and Skeleton Federatio...</td>\n",
       "      <td>P1412</td>\n",
       "      <td>[' German']</td>\n",
       "      <td>English</td>\n",
       "      <td>2019-Q4</td>\n",
       "      <td>2021-Q3</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>5094</th>\n",
       "      <td>International Bobsleigh and Skeleton Federatio...</td>\n",
       "      <td>P1412</td>\n",
       "      <td>[' German']</td>\n",
       "      <td>English</td>\n",
       "      <td>2019-Q4</td>\n",
       "      <td>2022-Q2</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>5095</th>\n",
       "      <td>International Bobsleigh and Skeleton Federatio...</td>\n",
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       "      <td>[' German']</td>\n",
       "      <td>English</td>\n",
       "      <td>2019-Q4</td>\n",
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       "      <td>0.250000</td>\n",
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       "      <td>4</td>\n",
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       "</table>\n",
       "<p>5096 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   text relation  \\\n",
       "0                      Lewis Hamilton plays for <mask>.      P54   \n",
       "1                      Lewis Hamilton plays for <mask>.      P54   \n",
       "2                      Lewis Hamilton plays for <mask>.      P54   \n",
       "3                      Lewis Hamilton plays for <mask>.      P54   \n",
       "4                      Lewis Hamilton plays for <mask>.      P54   \n",
       "...                                                 ...      ...   \n",
       "5091  International Bobsleigh and Skeleton Federatio...    P1412   \n",
       "5092  International Bobsleigh and Skeleton Federatio...    P1412   \n",
       "5093  International Bobsleigh and Skeleton Federatio...    P1412   \n",
       "5094  International Bobsleigh and Skeleton Federatio...    P1412   \n",
       "5095  International Bobsleigh and Skeleton Federatio...    P1412   \n",
       "\n",
       "         gold_label pred_label    model  quarter  mrr_list  p@1_list  \\\n",
       "0     [' Mercedes']   Hamilton  2019-Q4  2021-Q2  0.166667         0   \n",
       "1     [' Mercedes']   Hamilton  2019-Q4  2019-Q3  0.166667         0   \n",
       "2     [' Mercedes']   Hamilton  2019-Q4  2019-Q4  0.166667         0   \n",
       "3     [' Mercedes']   Hamilton  2019-Q4  2020-Q2  0.166667         0   \n",
       "4     [' Mercedes']   Hamilton  2019-Q4  2020-Q4  0.166667         0   \n",
       "...             ...        ...      ...      ...       ...       ...   \n",
       "5091    [' German']    English  2019-Q4  2021-Q4  0.250000         0   \n",
       "5092    [' German']    English  2019-Q4  2022-Q1  0.250000         0   \n",
       "5093    [' German']    English  2019-Q4  2021-Q3  0.250000         0   \n",
       "5094    [' German']    English  2019-Q4  2022-Q2  0.250000         0   \n",
       "5095    [' German']    English  2019-Q4  2021-Q1  0.250000         0   \n",
       "\n",
       "      ranking_position_list  p@10_list  p@20_list  p@50_list  p@100_list  \n",
       "0                         6          1          1          1           1  \n",
       "1                         6          1          1          1           1  \n",
       "2                         6          1          1          1           1  \n",
       "3                         6          1          1          1           1  \n",
       "4                         6          1          1          1           1  \n",
       "...                     ...        ...        ...        ...         ...  \n",
       "5091                      4          1          1          1           1  \n",
       "5092                      4          1          1          1           1  \n",
       "5093                      4          1          1          1           1  \n",
       "5094                      4          1          1          1           1  \n",
       "5095                      4          1          1          1           1  \n",
       "\n",
       "[5096 rows x 13 columns]"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df[\"model\"]=='2019-Q4']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7b8978a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "model_name='cardiffnlp/twitter-roberta-base-2019-90m'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "8ed1f47b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'twitter-roberta-base-2019-90m'"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_name.split(\"/\")[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "a13db62c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<Figure size 1008x288 with 6 Axes>,\n",
       " array([[<AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>],\n",
       "        [<AxesSubplot:>, <AxesSubplot:>, <AxesSubplot:>]], dtype=object))"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x288 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots(2,3, figsize=(14, 4), sharex=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73455b2e",
   "metadata": {},
   "source": [
    "## This visualises the average performance (y axis) of all models (x axis) in all test data between 2019 and 2022."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3e575164",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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WNINAAm+EoI/L8L3fx353gzGgS5wR19DjPJRGfLMYa2jW4d3d8Ws3ne/ysv9IfV8HesfIiGuAMYZmFlqHohVIdyt3r17mQf1/X4bm/+nbv4j0WunybkEzNlajGWSu62JD69y3os08HuJW5wW9zCb0zoCHzCvoeYkM99g3W9/X5rlP3/8bX9cuwt+ZS49baqnHvuv0Y67zUdc1OLAVN2MGzdhr1q/nJB91D9WPWef+ezzaRdDPEC/yXff+t172fafvm4l3I+wpNx0u9vGb5+Dbo+MZPF604bSnCK9rEj0jy0d77BtHz+Cuz/eTF5nb6DGwinyUCeseIIz7l57Zfq/LaMI8bwGf+fR2s+0TLR/N0HftH+Sxz/X88tm20VzFJaF3IsN6XwF/1eu95LE9nGtS6tLDgGvxiC5rmtu2qeH+Tr3+GXrdKm/3L5qh5u39kk2Yz7QgdHK9l7d62TfN7fd6vVfpMU7WRnrO3WRejp9nfxD1TfS4ny7wsv8GfV9tADnL9HIPB3FM1/MpkKHpur9m+Snzk9t597vcKNHPi1udyfR4vASMzOtRN52ewe63ApS9WS+32IhzFnYwID3PTKkQ4lbgn/rm7WizeqCNlIEWDbbRh5jX9e9j9OhYntSijVaHiysXzMdSylWeO6WUq9Fc0kC70b0RrA4PSY+oplJKJ9qILWjG22t9ammGBcAQIURaEMdxyZZorhoAh/sp+oiU0tsC64/07/Ee249DW7vjwPti4z4IIVLRZkGdaC8Wb/p20XOuQ1mcbcQ1TESekVI2eNk+S//uwvu5/B7NUElCmykEon4NgkK/zz9Gm404S9dLoI34grY+0x9N+ndhMDmqgqAArdOxn5TyOzc9u6SU9wNj0Z5ZTjddf6MXe1RK2eZF5n/R1qEKetqmJ+9JKTd52e5yUe117SJFSlmHNjsu0JYVuPM22r08Sggx2Uv13+nfb+nPFBe/QXsxzZJSrvBx3AVoBmoOWsfcG/8K6kd4x/UuOcT9/SCEyEebqQHNE0T2qam5x/nC9W56XEpp91HG9W5yv09Cak+Roj+3v9L/9XzGX4B2vddJKZ8LQ/wrUspKz40R3gPh3L+uOiVBljeauVLKeZ4bpZRL0d7Z0Pcd6Wo/D/uR64p2afhz1geue8WznRj9TA0aPd/f9cBmtGUgRvEp2mxQAZqLt/sxTfQEpPPstxn1TPNWzxVHoVQI0c9HMX99Sdd1ytLf5Ubguqdqwqx/H9o56MYt4r4brv5qewA5rmdIeph6eONL/ftYbzkphRCnoHmJuMgw8NhxOS9CiAy095IZbUDTa8RbPzyD5nrehDbJ5w9XmzHkuew1TLsfjha+E1SXA6frnVno6fD8RQgRyGBJRXNJqvLYvsTTeAsRV8fqWz9lvkHrbHnrhIWiw0of212/aY1ueHri/rLPRhsV/xk9Wtt1aDPEw9BuGM8Xhq8HG2jrML2xW//O8dh+iP69Qkq5m+A4AG1UXwIrtb6KV1xRrgYGKReMuYaJSKD2sk16iaQspXQKIWrQHhju1y6a1yAUXkFzQboQbdbgSDQ3vh/1QQF/fI1mYE8GZgshnkObcS8LRxEppd+HqdQiup3htmko2qws+Ghv+vmfjeYm6au9eb3npJR2IUQVUETf+y4gQoiD0IIqHYZ2/b0NTPV6Fkgpq4QQX6O53J2H9oJyyStBm12AvmHgXc/vY4UQ/kLO5+rfA9HcdN1pR5tB94meKuQitEGSSbo8m0exZLTz5Xr57ad/O9EM7D5IKbcLIXagBULzPN5B+r/PCiH+06eyhsuw/fk+CaM9BYUQYjSaV9BRaLNJ6WhGnDuez3jXc/rzUI+n43mtXERyD4Rz/36Otl79FSHEU2gDoEv9DAAYja/3I2jvyF7PWSHEQH0bwOd++kOuNmzYc1aPEnklWtyFsbpenn04z3Zi6DM1BF1NaIGLzMB1UsoOo2RLKbuFEP9Dm629hN5RzE9CGyhvomdQ1UXEzzQhxNn0tPsCtGeTJ/3QgjR54q8vuRBtFrUEWKA/l76SUm71o2cg8vXv+lArCiF+h+alAZob8aII9IgGL6AtDegHfCSEuA5tUM6ENvjwJNq6aVcEcEMG/+J1XvT31htoy+YagN+GYhvpUdHPR+sfXi6l3BagiqvN5PstFSShGpquKFigKdyKFpHuK7T1Gu4N2mUJZwcp29soTnWI+nniyrHpz2ByjVrmCSGEl9HxYHUo97Hd4W+/lNLhZhT0Couvh9CfTu8RD1d0O9CMhky8dzhdNPvY7pLh2QaK9O8dfmR64rrWwq2+P0IZsTPiGiYiYbUXjzLu7SWa1yAUZqINnkzVO2Wu0eVAs5lIKTcKIa4C/o1moB4JIITYhrZe7Tkp5bJoKK1T4PZ3MO2twMd+X/cc9Nx3IaXAcPMccT0sHGgvA9fAXhZap8fbs+ANNEPzXCHEbW73x7loL+ZVUkrPgQ9Xe0oluLbirUytj8E14OdcaDPpPQvbjvbMddVzteU0egxN18uvUUrpb9S4DA9Dk96GbJ6fui6imhdaCPFbtHvDvUPUSE+Y/3S03+55XcN5Trvj670W9j0Q5v17G1q09sPQEsv/CegQQixAW4v0coBrHCmh3qvuI/yFQcg35DmrDwrNRlur6cIVkMaJZtDl49FO4vhMvQYttsQHUsovoiD/v2iG5ilCiCK32flL9e+3vMzGh/1M0zv679B7IKkT7Znkeh8XoD1PffXHfPYlpZT1QogL0LzeJqIZ6egG8ZdoecC/81XfB0n6d5ffUh4IIX6BtkZPoK2BfMhHUdekSKBnpOs8GpZiTkrZJIQ4DW2gagB9U6bVokVn/Yf+f4NrhxBiMd4HgB7y81vjdl70QZuX0QzoNuBXUst3GRRCiD+iZSEAuEVK+U4Q1VzPPpsQwuTvPR4MobpSzJc9ielLpJTDpZQnSin/5WFkuss+Q0opgvhs83I8h5dt4eBt1ClYjNIhJIQQVrSHTjqaO+VRaAu6s13XAM2PGvqOfsca17VuDPJaTw3jGJFcw32BWFyDgEgpHWiGjUBbC3cWmovJm/7qudV/EW0G9EY0N9xatFmeK4GlQog7I9DtZSllsPdKwrQ3Panzg2jn9N9o6/OSpJS5bs8C1+i9t9/3AdqLYwA9LqfQ4zbrLam1qz09HmR7etmLjEDPzr+iGRg1aLOaRVLKVCllof6b+rufhgCygsX9nbd/ML/Nl6AQ21MfhBAFaGmnrGguzlPQgkfkuF3XR13Fwz2OD4J5r4V8D4R6/0opa9GC4p2AlhZkGdpAwDFo62xX6V49iYJ7+8kJov2UGnTcx9CMzC1oLqC5Usp0t3vlEF8Vo/lM9YYQIgttHWsHmkdbuvuH3h3wVH17kldhPtA72t+hDZRfoB83Dy3CLXh3UY3kmXY5mpHZhuYOPFBKmSylLHC7V12zmL7uVb/3nJTyc7TrdAWaUVuGlpv+Qnpmo0PBNSmUHWwFIcRxaO8SK/ASWpvxhev35ggh/D0rXLPs/gbPQ0ZKuQRtZv9etBnhHfSk35vkdjw72tpPFwVoA3WeH58urPE6L/pShqfRZiO70OypPq7+fupfgPYcBW2d9KP+yrvh8uJoiNTIhNANzVBwjTB5jijHEtcIkj8dXC+xWikTaibsUDTd6oDTpJRzZV/3k2BmrkLFdd0Gh1EnU3/JGMmefA1jSTSvQai8qn/fgTbTNlNqiYqDQkpZKaV8XEp5OtpL4SC0EUsB3CeEmGiwvi7cR5yDaW+RelwEy2/QntUzpZTXSSnX6Aa9Oz6fBVLKZjTPCNCNSyHEMLTzKvE+CBCL5/fZ+vd1UspXvLQRX7/JNbOZ5SfpNHhfX+JKCwPxfTeBlhcxHS2C4nlSSm8uo77OQTjP6WCI+B4I9f6VGrOklDdIKSejzcz9Ee3dN5QeYzsRcF/qEpP2I4SwobnLApwvpfxA9h3Y99sXiPEzNQfN0yoZrW03e3zc3b1X69ueDeM4rjVql+jf56MNUqyWUi70Uj6SZ5rrWXWflPJJKeUu9536GvKI3QyllI1SyuellOdKKfujDSo+r+++XJ9VCxbXczKoZRpCiCPQ4ggkoxm6lwfoT61xVUUz+LzJzKdn5n+NtzKRIKWskVLeLaU8REo5WEo5UX+O7KbHrX+ZdItTIqUs9TGwMM3Hb4jneXkMbeChG81d9ks/ZT2PcTaaUWxCCzh0T7B16Wkz4a7v7UU0DU2Xb/spUTxGIFzrkY7xU+ZYj7KJgutFvkF6D8gA2rpNo/lB/54ohOjvt2QPS9BuBIGWPNxI9uRrGEuieQ1CQmquWKvocTkL6DbrR5aUUi5Ge9G70qMcEbGS3tlCj4uN1/amu7FM1f+NVXtzPQu8urgJLYiYzxkNHdes5Vm6t8Rv9f8XSO/eJK7n99QAxlwk+P1d+H6+Lde/TfQNfgSAEGIQXoww3ZBbov8bz3cT9Pz+n7yNGuuj2cd6btdxPaeN/g2G3gPh3L9SynqpBThyzbQdHYzi7iJcqoZYL7Bgbc2cy2CJVfvJp8cNMtR7pQ9BXJOf26Lws9g/AXgPra2OFUIcTI/B+ZKP8pE80wI9qw4nCl4w+qDiFfTc76HcC+v179JABfX1/5+huXN+Cvzey2CmJ2vpuRd8Bb1ybe8Cgp6JixR9cMYV1Mybx06wcuJ2XoQQD6DNnjvRMkt4ugf70/tX9AQOekZKeWuwdXVK9e91IdbzSjQNzZf175OEEH47vkKIkANjBInLnewUoUVA8zzuOHqi5gXjtxxLXJF6R3ibfhdCnIh/4ytcvkZbm2MmyIiR+ozJ+/q/9wotOpZXhBAW3X0mWPbkaxgzonwNwuF2tKiMD6GNBgZEfzl4RX+4u2Z7QnKzChZ9lPID/d8bhPfof5ehuXRKtDVkscD1LJjgY/+fCRxV73O0Tlke2npNf26zoP22VrSRzbv8CY7g+e3zd+nt88/eKkkpa9ASsoMWEMIb/gLQvax/XyyEmORPwSi+m6Dn94/30aG/HC0AnDdeRWuDo/U1OIYQyT0Q6v0rhDDpa9980e5ePgRcETyzQ6wXLC/r37f6G4wVGkbo4MonC97vlRK0gIHedAjnmdrk9nd2KIrqcrf5c0mld79liL794jCO00FPJP+H0YKE2enxqPEkkmeav2eVBc1VOGz8XSedcO6F+WjtJkf3YPF17Elo63Uz0eKtnO3Fs6IP+uDYW/q/VwuPrAn6gNRN+r+fSind21W0mYbmmlpBz/0aEvE8L0KIv6KtV3elxAnaWBZCnIDW1q1oa0qvDrauGwfq38YMDsjg8q+8jJe8REHUe1+v14724i9w25eLlqj7E/rmfpqm13s5gPxS/OR7onfewO1oo35C33ecvk3iJddkCDq48vSU+tgfUI43GfREoJVoBlSJvj0FbcF7M9q0ttfrEoRePs8dWpAQ6Xbs0R7X7XI8EuXq8mr1OivRZtVcSdAFWhLlm9Fys00NoQ2FfQ2DOQ8htueL/bU3L+W8XZdt+j6v58Bf3UAyIrkG9Nzj36ONoPv7uGROdTu/PhMTe9HfVx7Nh9AGFk5HW4Pk2l6Etu5Coo3uGZYTy4tu7snqv6V3svrL6UlW/7yXurP1fReHeu0C6HSi23m+g55k3wVog0GSnmfBND9yXPkRl+rfdtyeyV7KX+d23OeBkW77UtACizyNR+43t3axLcDvekMvtwNtpN51Xx+ItuamBh/3Lz15miWaC12hvj0TuEdvJw3ergfaC3iBvq9Wv66ZbvuL0dzwvvN3Pg1oa6PoyYX5JHpeXf033KZfH9c5eNlL/af1fd1o75lCt31D9G1XetQJ2P7CvQcI8f5Fe8dtQxtQmACY9e0mtGe7K+fbOyGe1+/1eo+6ZHop8zKB75fZPtpPNlrKDtc76Ry0+Amu/YPQ3N2WedYNQndf7d1lNPyEll7H/TxtcGsnMpJr4rZ/t77v5ii0+6m+fmcYsia5yZJowYf8lQ/3mebKzdmI5sbsaquj0XI6dtBzz0z1qDuNwH3AG9ACo52H3tdza2t30vOcODXE8+PKw/tbH/tHoc2+Sb29p4Qov1g/J1LXf5C+vQDNk0miBU0a56N+Fr37Fjv0Ord4bPfWt/sTcKZHux5Fz3uuG/hlmO0qbucFbf2nq41eE+JxD6fHbngTMIXx2wVakDGJl5zQ9L5/pwYlM8gDv+w64SEqnIa2DsCllFP/AU30fji85FEv4I2plyt1yfBTZjg9L1epX4RWt/+34/awCUMHvw/MYOT4koE2be5+nhrQOh8S7SXmemj2uS5B6OX33KEZJA43Oc1ujc/XMQ+k5wUl0dwCavQbyv13HB1iOwrrGgZzHkLU4+JA7c2jnLdz5PodXm9Qf3WDkRHuNaB3AvNAn6l6nalu24wwNB/zOE4jfZ8Vd0Z6HYPQ71dog2OuY9br59H1/ywgzUu92XjpmIZy/f3Ue9/t+K6E4q7Ox38JruN8nMe5DJjEHfiL23EkWmeqjt7Phq0edVztYlsA2UPR1vi55LTT01lro7eB3ef+RYsq6HlOXMms/4VmKErgd17qFqKN1rrqO9CMzhZ6n6O7o9zWHvE4Xr3buZ3hdq+87KVuEloQIc/67r9hmkedoNpfOPcAId6/aJ1o931d+jXodtu2GRgQ4jm9xKNNbdd/90NuZV72dn6CvZ/R3klr3I7TjfacbfP4TReFqLvX9g4c7CG7xe3/WjTjR+Lxbgr1mrjVu8fjWNv0z40GtPmpvn5nmPIWu8kLaFgQ3jMtF22A1r2tugyJbrT39ja83FsE1we80eOatNC7vyWBZ8M4N3fpdV/1sf9FN/l1aDOAvj63+pBxAr37Yw1u59eO5m4a6B4L9PF2D7rXbfHQoRkfxnWQ5y1u58WtjCPAcSvQglK51/3G7XjVAeqe6+P4R+j1t6IP/vq5f6cGcz6jmsBXStkqpTwDLSzvB2jRmFLRRpQ3oc2WXYIPtw+DdNiENup1L9qsl4tVaIlXJ0opN0Tr+JEgpXwCbcTme7SXigXNZ/putLVJ/kKzR3rsR4D90dY7bEO7ZhJtRPVxeqb+3essRhvh+xPaCGwLWmeiDW1d1BNoBk5IYbr35GsYa6J1DWLEo2iDKx+jjdILtM70TrQO9VFSyn/4rm4MUspP0WZYnkdr+6lo528e2kzFSVLKVp8CosO5aO7Ia9FeUgLtuXCRlPKyIGV8S+8IdwHdcaSUf0O7954DNtITvr8cbaT2/9BTJoSKlHILWlCS19Dyx5rRXsavAwfKAIEPpBbc4DRgDtoL3YLW6fy9lPI2evJBNnipW4U2i3o+mltxNT3ux+vQRp3PwdhE832QUt5Mz+xXJ9o5WIbW8fwFWifWV91OKeW5aOfAlcQ+De298APaTOHzvuoH0CuceyDU+7cJrW/wGLCInmvQinYd/4w2e9cr8EoQur+ENvO6CO38DURbr2tITjj9GJvQ3o9Xo91X9WjtrRvtHfkc2vV7zZeMEI+3EC1A4Ef6saxo98yzaC6jK3xUDfeZei/aO+Qnvc5g/ZNtwM8xGperdzna7KJfwnmmSSnr0NbBP01Pap92tOtxtPQedTsU3kBrs2/T84xP13X6BPi1lDIcF/mX0AyX03xEQO0VRRnv0Vj9RmWVUn6F1gZfQjs3KWjPonfQZsQMuQe88ATa+dqs/+9Em8F9CBgrpXzLV8UgiOd5cS2jMAU4bhE9+Z696Z0foK6vdcqu+A0vSd2yjBRhkByFQqFQKBICfV1MLVqneogMnKBaoVDsgQghvkJzpX9QSnl7vPVJNIQQ09EGPc6WUr4XqLxi30Vfb7wLLZbDUCnlTiPkRnVGU6FQKBSKOHA9mpG5URmZCsXeiRBiOD1LAv4boPi+yjS083NLnPVQJD4XoM12vmCUkQnK0FQoFArFHogQ4hEhxMVCiCK3bcVCiHvRXOpBi0apUCj2MvTI1E+iuRpO192ZFR5IKZegRSE9RAgRjZR4ir0APRru7Wgu4fcaKdtfaHGFQqFQKBKVg9DXigshOtAiP2a77X8VbR2WQqHYSxBC3Ii2hrkYzWuhA62DrPCNa31/tNOaKfZc+qFFql0tpSwzUrBao6lQKBSKPQ4hxCloAXsORut0pqMFSlkCvCilfN9PdYVCsQcihJiGFhCxDVgO3C6lnOuvjkKhiB/K0FQoFAqFQqFQKBQKhaEo11mFYg8kPz9flpaWxlsNhUKhUChiwtKlS2uklAXx1kOhUASPMjQVij2Q0tJSlixZEm81FAqFQqGICUKI7fHWQaFQhIaKOqtQKBQKhUKhUCgUCkNRhqZCoVAoFAqFQqFQKAxFGZoKhUKhUCgUCoVCoTAUZWgqFAqFQqFQKBQKhcJQVDAghUKhUPhk8+bNLFy4kOLiYo499th4q6NQhE19fT2dnZ3k5+djsajuj0KhUEQb9aRVKBQKhU8ee/gR5n3+DdX2Znbu2okQIt4qKRQh09LSwvjx47CaTFx1zTX86fY74q3SXsmdd9zOksWLmDhxEg898mi81VEoFHFGuc4qFAqFwic7tm5nsnUgZiGor6+PtzoKRVhs376dgXk5/N8xk9i0fl281dlr+eCDD7jkl0fx/gcfIqWMtzoKhSLOKENToVAoFD4pr6wg3ZRMVnI65eXl8VZHoQiL3bt3U5yZRnFGKrt27oy3OnslLS0ttLa1ceLhUzCbTdTW1sZbJYVCEWeUoanYIxBCZAghBgohMg2SN0AI8aIQokwI0SmE2CaEeEwIkROinFy93jZdTpkud0CQ9X8vhJD657Lwfo1CET3q6utJNdlINSdTU1MTb3UUirCorKykINVGYXoKlVVV8VZnr2TXrl30KypACEG/ogJ2794db5UUCkWcUYamImERQliEELcLITYBDcA2oF4IsUnfHtYaYyHEMGApcAmwCHgU2ALcACwQQuQFKScPWKDX26zLWaTLXSqEGBqg/kDg30BLOL9DoYgFLW2tJJmsJGGmoaEh3uooFGFRV1dHptVEdkoS9Q1N8VZnr6Smpob87CwA8rIzqa6ujrNGCoUi3ihDU5GQCCFswJfA34FSYCeaEbdT///vwCy9XKg8BRQC10spT5dS3i6lPBbNUBylyw6GfwAjgUeklMfpck5HMzwL9eN4RWgRVV4CaoFnwvgNCkXU6e7uximdmBFYELS3t8dbJYUiLNra2kixmEixWujo6oq3Onslra2tpKUmA5CWkkxra2ucNVIoFPFGGZqKROVmYCrwGTBGSlkqpTxUSlmKZgx+ChyplwsafTbzRLTZ0f947L4baAUuEEKkBZCTDlygl5/msfvfwHbgJD+zmtcDx6LNfqq3sSIhcTqdmITQI82qaLOKPRenw4EQAiHA4XTGW529Eod+jgHMJoFTnWeFYp9HGZqKROU8YBVwupRyo/sOKeVm4ExgNXB+iHKP0b+/lFL2egtKKZuB74FU4JAAcg4BUoDv9XrucpzATI/j/YwQYgzwAPC4lHJOiPorFDHDYrHgdEqklDiRWK3WeKukUISFLSkJu8OJ3eHEZlWZ3aJBcnIynV12ADrt3SQlJcVZI4VCEW+UoalIVIYDX3gagy707V8Aw0KUO0r/3uBjv8uoHRkNOfq60leBHcCdAY6hUMQVk8lEclISXdJBt3CSnp4eb5UUirDIzMykpdtJc6edzHS/DiuKMMnJyaGxRXPQaWhqIScnpNh6CoViL0QN6ykSlS4gUK82DbCHKDdL/270sd+1PTtKcu4C9geOkFKGtOBNCHEFcAXAoEGDQqmqUIRNdkYW7c4u2p1d5OUFFSdLoUg4CgsLqevopra1g4Jc1Y6jQXFxMRVVWkqTypp6ioqK4qyRQqGIN2pGU5Go/AScJYQo8LZTCJEPnAWsiKlWESCEOBhtFvNhKeWCUOtLKZ+TUk6RUk4pKPB6WhQKw8nPy6PV2UmzvR3V7hR7KiUlJVS1tFPZ3EZxSXG81dkrKSoqormllZbWdqpqahkwIKgsXwqFYi9GGZqKROXfQAGwSAjxByHEUCFEihBiiBDiEmChvv/fIcp1zTRm+djv2t5gpBzdZfYVNFfbvwZSUqFIFPoN6E+zo4PGthaKi1UHXbFnMmjQIMrqmylvamVQ6ZB4q7NXYjKZGDigPz+sWENhQT42WzhB4RUKxd6Ecp1VJCRSyneEEPsBtwPPeSkigH9KKd8JUfR6/dvXGswR+revtZfhykl3K9vhisznwfNCiOfRggTdGOD4CkVMGDyklEUL1pOVnqGCeyj2WIqKimhsa2dLfSsTjx4eb3X2WoYMKWXu0lUMGaKMeYVCoQxNRQIjpbxTCPEJ8Ae0dY1ZaDOJy4AXw3E/Bb7Vv08UQpjcgw0JITKAw4E24IcAcn4A2oHDhRAZ7pFnhRAmtBQq7sfrBF7wIWsy2u+bh2bAhvO7FIqoMHDwID51NFPUT623Uuy5mM1m+hcVsGx3Db9Ua9yjxuDSoXz1xXSOOvb4eKuiUCgSAGVoKhISIcSFQKWUciaBjb6gkVJuFkJ8iWYIXgM86bb7HrQAQ89KKX/ObSmEGK3XXecmp0UI8SpacJ5pwC1ucq4FSoGZUsotevl24DJvOgkhpqEZmv+TUv43sl+oUBhLcXExFZ0NjC6eGG9VFIqI6N+vH/MWLVFrB6PIgIED2V5WyYCByphXKBTK0FQkLi+iGYEzAxUMg6uB+cATQojjgLXAwWg5LzcAf/Yov1b/9vR3vROYCtysu/kuAsYApwFVaIasQrFHU1BQgERSVKxmNBV7NiX9+wNLKCkpibcqey2uddwq4qxCoQAVDEiRuFQQpfYppdwMTAFeRjMwb0HLx/k4cIiUsjZIObXAocATaHk/b9HlvQQcoB9HodijycrS4lrlFeTHWROFIjLyCzUjSKXpiR7Z2dm9vhUKxb6NmtFUJCozgGM811EahZRyJ3BJkGW9Ru7R99UBN+ifcHWZhuZ+q1AkHGlpWnL7jKzMOGuiUESGRY+CarVa46zJ3ktKSgoAqampcdZEoVAkAmpGU5Go/BnIAF7Qc2YqFIo4YFOdc4VCESRmsxnQUp0oFAqFmtFUJCpvokWYvRD4rRBiG5o7rfQoJ6WUx8VYN4Vin0FK7ZZzOg13LFAoFHsZdru917dCodi3UYamIlGZ6vZ3EjBK/3jiaXgqFAoD6ezs7PWtUCgUvmhtbe31rVAo9m2UoalISKSUyu9GoUgAmpu1FLENdfVx1kShUCQ6dXV1vb4VCsW+jerMKxQKhcInNTU1AFSWV8RZE4VCkeiUl5cDUKF/KxSKfRtlaCoUCoXCJ+Xl5WRZ0yjbXRZvVRQKRYKzc8d2Jo4ayo7t2+KtikKhSACUoalISIQQVwohNgsh+vnY31/f/4dY66ZQ7Ets2byFfpYsdu3eFW9VFIqIEMJnpiqFQWzdspnDJ49j69at8VZFoVAkAMrQVCQq5wHlUkqv0yhSyt3ALuD3MdVKodjH2LBmLYOsedQ11NPe3h5vdRQKRQKzddt2jpoyka3btsVbFYVCkQAoQ1ORqIwCVgQo8xMwOga6KBT7LBs2bCTPkk5+ejabNm2KtzoKhSJB6ezspKamlomjhtLe3kFLS0u8VVIoFHFGGZqKRCULaAhQpgnIib4qCsW+SWdnJ7sry8ixpJJrTmP9+vXxVmmvpLW1le3bt7N9+3Y6OjrirY5CERa7d++mMD8Xi9lM/+JCduzYEW+VFApFnFGGpiJRKQcmBigzEaiOgS4KxT7Jli1byE3NxCLMZHRZWL1qdbxV2is594wzOWXqMZx01FSuvFQtO1fsmVRWVlKYnwtAQW42lZWVcdZIoVDEG5VHU5GofAtcIIQ4Qko5z3OnEOJI4BTgtZhrplCESVNTE9999x0Ahx12GHl5eXHWyD/r168n15IOQK45jdUrfoqzRsGxYsUKurq66NevH/3794+3On6prq5m1Zo1vDTkENqdDq6ZO5eOjg6Sk5PjrZoizixfvpz333sXs9nMddffkPDPi6amJjLTUgHITE+hqakpzhopFIp4owxNRaLyIHAuMEsI8RQwA9gN9EczMK8COvVyCsUewVtvvcW//v5PTAgu/uOl3HHnHfFWyS8bN2wgvcsCVsixpLFq85Z4qxSQ9evX88tTf0FRcibpRbnMnt9nnCqh+PLLL9k/qwCryYTVZGJoejZz5szhxBNPjLdqijjz+qv/Y/fKxeyqa2bSfvtzxhlnxFslv3R1dWGzat1Kq8VCV1dXnDVSKBTxRrnOKhISKeV64Bw0Y/JG4Au04D9fADcAHcDZUsq18dJRoQiVFT8uZ4DIp9RczIply+OtTkA2rF1PlimFxyu/JNucSnl1BU6nM95q+WXFihVMSCvmmqRJbNq2JeE7u9Pf/5Ap1oyf/59sTuezjz6Oo0Z7L1LKeKsQEhvWr+eswydxxJjSPSIQl8ViodvhAMDhcGKxqLkMhWJfRxmaioRFSvkZMBS4DXgf+Fr/vhUYJqX8PI7qKRQhs379etLNqaSZU/aIjuPOHTvJMGkunBZhJsWaTFVVVZy18s+qFT9RaLdhE2byUzIT+jx3dHSwYNFCJqf3uEQemJ7HV199tccZRQrj2bFjBwMLshlYkMXWTRvjrU5A0tPTaW3Tglm1tHeQnp4eZ40UCkW8UYamIqGRUtZKKR+WUp4jpTxR/35ESlkbb90UilCpqKggxZxEiimJ6prEj2NVU1NDmjnp5/8zklIT3tBct2oNhaY0AIos6WzevDnOGvlm6dKlDMrIIsNs/Xlbv6RULE7Jhg0b4qiZIt5IKamsrqUoO4OirAzKy3bHW6WA5ObmUt/UDEB9UzP5+flx1kihUMQbZWgqFApFjGhpbcUqLFiFhfaOjoR3Q21qaSZJ9Li/JZusCR/go6ysjByzNgub6bCwe3fidtCXLF7MCFNKn+2jU7JYsmRJHDTauxFCxFuFoGlra8NiMWOzWshMTaaxsTHeKgWkqKiIqtp6AKpr6ykoKIizRgqFIt4oQ1OR8AghBgghDhZCHOXtE2/9FIpgcUonAsFntVqAmkR3j+zs6sQqzD//b8FMW1tbHDUKTH1jA+kmGzdWzSSlW1BbUxNvlXyyZvkKBln6RpcdIC2sW70mDhopEgW73Y7FbGbC1Q9itZixd3fHW6WA5Obm0tbWTltHJ7X1DRQVFcVbJYVCEWfUSm1FwiKEOBF4FBgdoKg5wH6FIiFISU6hW2rBMiwWC2ZzYjddh8OBoGcWSAhtWyLT0dmJLVU7rzZhpqWpJc4a+Wb3rl1M8mJo5luT2LRtexw02rtJ9IEdd6xW68/Gpb3bgdVqDVAj/phMJvLyctm8o4zMjIw9QmeFQhFd1IymIiERQhwCTAeygX8DApgDPA+s0///FLg3TioqFCGTn5dHh7MTgLyc3DhrExiTyYSkp3MupbYtkXFKJybdODYhcCTwTFBraxvJpr6DDSkmCy0tiWsgK6JPamrqz4ZmS0cnGRl7RmCd7KwstpdVkp2VFW9VFApFApDYPQbFvswdaClMDpRS3qBv+1ZKeSUwHvgbcDzwXpz0UyhCZujQobQ6tKiMgwYOirM2gbFaLDjoWUfqxInNZoujRsHhMo4lEmFK3HV5FosZB31n2RxSqtQQ+zhCCLIytLQ3Da3t5GQn/sAUQFpaGrUNTaSmpsZbFYVCkQAoQ1ORqBwKfCKlLHPbZgKQGncBa4F74qGcQhEO4ydNoFW2AzBuwrg4axOYJFsS3bLH0LTjICWlb/CaRMIz4EsiB4DJzs6h2WHvs73ZYSc3P89LDUUk2Ls0bwK7ve85T0SyszIBaGztIDdvz2gPQgiklAl93ykUitihDE1FopIF7HD7vwtI8yjzPaCCAe2jbN68mX79+lFUWMToUaPpTmAXSRdjxozBnqQZbuMnToizNoFJS02jS/ac1y5Hd8LnxhOIn+cIJWA2J+5rbvCwoVR2dfTZXuXoZNCwYXHQaO+mYvcuACorK+OsSXC47rW2zi7SMzPjrE1wdHZ2kJGWSpdu1CsUin2bxH0DK/Z1qoAcj/89e15WILGnV/YgXn/9dW6++RZuu+02Kioq4q1OQObNm0duci5j0sbitDtZvXp1vFUKyIgRI2jp1qK2DtsDDIn09DS6nD3Bfzod9oQ3NCXy5/BFAnA4EjeFzLhJE9lJV5/tu0Q3Y8aOiYNGezfbt27FJARbt26NtypB4QoW5nBKLJY9I7BOY1Mz/QrzaGhM7DRICoUiNihDU5GobKC3YfkDcIIQYiSAEKIY+A2wMQ667XVIKbnrrrt457UPeev1d5g+fXq8VQrIgvkLMHWZEUKQJJJYvnx5vFUKyMCBA2ls0xKaDxqU+Gs0M9IzsLvNaHbYO8nQ140lKlLKXpFyEznS6OTJk9nU1dprm5SSdc11TJ48OU5aBea/zz7LpDFjfv7cev318VYpIE6nk41bt3Hc6MGsW7cu3uoEhSuVUIrNQmtz4htuUkqqq2sYNWQgdXX1CZ8nWKFQRB9laCoSlRnA0UIIVwSEx9FmL5cJIRajRZ4tAB6Lj3p7F2VlZXR12bGJNOi2smD+gnirFJD169aTZEoCQHZo/yc67rOBeXvAmqv0jIyfXWellHuEoQn0ipSbyIwbN47q9laauntmNXd1tZGSkkK/fv3iqJlvuru7eeyRh7l9RH8enzSchycO5aOPP2bXrl3xVs0vW7ZsITs1hYMG5LFs8aJ4qxMUFZVVABRkpVNeXhagdPxpbm5GCMjJTCcjPY2aBM5hq1AoYoMyNBWJyrNo6y/tAFLK74Gzga1oUWfLgauklK/ETcO9iHXr1pFsS0EIgUlY9gg31MbGRixCi8xpMZmpqqqKs0bBYdWjiSYn982fmGhkZGbQpef9dOBECFPCR521Wqx067OYDilJSkqKs0a+sVgsHLj/ZFa1Nfy8bWVrPUceeVTCBlP55ptvKEyysX9+DsWpyQxIS+W4fgW89cYb8VbNL/Pnz2div1wm9svnhx9+iLc6AamoqMAVMHlIcd4eMQtbVlZGcUE+QgiKC/IoK0t841ihUEQXZWgqEhIpZZOUcqGUstlt24dSyvFSyhQp5Rgp5XPx1HFvoqKiAtdSPBNmqveAkWiz2dyTxkKCxZz46SCklHTpES9dbnGJTGZ21s8zml3SQeoeYBynp6TSoevcgYPMnOz4KhSAqSefyCp7T87M1bKdY046IY4a+efj997luLzes9rHF+Xy0Xvvxkmj4Jj91ZdMKclhaF4m7W2tbNmyJd4q+WXJkiWMHzIAgKHFeVTX1FJbWxtnrfxTXl5OUb4WWqEoP2ePWOuvUCiiizI0FQoFXV1dSKekyVEOCLr3gPD/BQUFdEtNTwfd9B/QP84aBaa2thabHtRjT+iEZedkY9dHIOzOblJTEj83XkF+Ps1OLeJlm81JUVFRnDXyz5FHHsmqDm39nVNKVjXWcMQRR8RZK9/M/34+Bxb0zuk4NieTXeXl1NfXx0kr/3R1dfHd3HkcPqQEIQSHDynhyy9nxlstv8yd8x0HDNHartlkYv8Rg5k/f36ctfJPbW0tOZna8oDczAzlOqtQKJShqVAoICMjA9PPaSCce0Sy7bHjxtKpGxQiWTBy1Mg4axSYNWvWkJ2aBbBHuCdnZWdjN2sBPTplNxkJHnEWYPCQIdQ6tFyldXQlfNClsWPHUt/ZTlN3F7u72sjMyKS4uDjeannF4XBQXlND/zQt2PeRn84GwCwE/bMy2bFjh+/KcWT27NkML8whL02bkT9mSCGfvP9enLXyz7zvvuOQUYN//v+gocXM/e7bOGoUmKamJrLSUxl1ysVkpCXT0tISuJJCodirUYamImERQhwkhHhfCLFZCNEphHB4+SR+8sQ9gIEDB4JJMyicOOjfP/FnByftNwn05YKdzk7GjRsXX4WCYO7cuaR3a2sGZ387O77KBEFWVhZ2s+ae3OG0k5mZFWeNAjN20niq0AzN8o5GRo5M7AEIs9nMmBEj2dLRwtaOZiZNmhhvlXziL4KvCZGwEX7ff+dtji0t+Pn/gwcXsXHTpoQNYFRbW0tZRQWjB/bMxh84chDzv/8+jloFpr29nSSr5rGRbLPS2toaoIZCodjbUYamIiERQpwFzAfOQEuHtwiY4+UzN1467k2MHTuWtnZt9NmBnckHJG5qBRdjx47FbrLjlE6a25oT3qAA+PSjT8gzacbajC9mJGzH3EVubi6dQnOd7ZD2PSJS7thx46iyalFcHUIm7OygOyPHjKa8q42yrnZGjk/cAROLxUJ+dhaV7R29tjulpKy5OSEHqFpbW/lq1ixOGDXw521Ws5ljRgzg/fcSc1Zz5cqVjB3SH7Opp4s2sn8h23fuor29PY6a+cfhcGDSIxiZTSaV3kShUChDU5GwTANagaOklEOllEdKKY/x9omznnsFGRkZFBVpHfKUNBuHHnponDUKTGlpKW0dbdilneys7ISPhrphwwaqq6rJtWRqG7qdLFqU2GkWCgsLaZea0dbm7KS4X0mcNQrM6NGjKetsBGBE6dCEjd7qTsnAgdQ7umg0SYpLEvscH3jggSyraei1bXNTCznZ2RQUFHivFEdmzJjBpAGFP7vNTnn4HQBOGdmfd99MzEi527dvZ2Beb+8Bq8VMcV4Ou3fvjpNWgRFC4EphK6XcI+49hUIRXZShqUhUhgNvSinnxVuRfYXDdOOyw97GQQcdFGdtApOVlUVHVwdO6eyVnzJReeP1Nyg25/7c+SpwZvHqK6/GWSv/FBcX09SlRcdtxc7A0sRe7wgwYMAAmju1WZ8RY0bFWZvgSE1LxS6gS0hSUlLirY5ffnnGmcypa+617dvKOk791a/ipJF/3n3zdU4c2jcg1H7982lsqGft2rVx0Mo/TU1NZCRZ+2zPSE2msbExDhoFh8lkwunQvDScTmVoKhQKZWgqEpcK9Byaithw2OGHAZBksyWkC5wnXV1dmE1mBILu7sRequt0Onnn7bcpNve4nvazFvDZ9Ol0dnbGUTP/FBcX09SurbPqsDrp169fnDUKjMlkoiBHi4o6aOiQOGsTHHa7HbMEs0z8tnzyySezsraeuk5tptspJbMq6zjrnHPjrFlfGhsb+WHRYo4e3rfdmoTg+OElfPjB+3HQzD9msxmnF7d6p1NiNpvjoFFwmEymn/WWKENToVAoQ1ORuLwLnCCESGx/yL2I8ePHAzBq1Og4axIcFRUVpCanYhEW6urrEnq94/Lly3F2Ocm0pP28LcWcRKYtnblzE3eZsdVqJUcPANRKFwMGDIizRsGRnqbNcGdmZsZZk+CoraomXVhIk1BXVxdvdfySlpbG8ccey3fl1QCsqW8iLTOTCRMmxFmzvsyaNYsDBpeQZus7OwhwzNASvvj00xhrFZicnBzqW/sOQNU1t5CTkxMHjYLD6XRi0o1LIRI3OJRCoYgdytBUJCp3Aw3AO0KIwQHKKgxg6NChAIwZu2cYmhs2bCDFmoJZmJFOSWVlZbxV8smsWbPIpa97b6Y9la9mfhkHjYKnX7G2ZrCxq1WLTrwH4JoVTPTZQRe7tm0jz2ojT1jZtW17vNUJyKmnnc7CJs2l+oeaek751a8Tcvbq26++5ND+vg2z8SW5lJWXJ1xO2wEDBlDe0Ds1iN3hoLahiZIEXsPb0dFBktUCgM1qobOzI0ANhUKxt6MMTUVCIqVsA64AjgS2CCFqhRBbvHw2x1nVvYaMjAyAhB4xd2fF8hXQqY2cZ6RksHLlynir5JMf5i0gk7Q+27PN6SxcsDAOGgVPvwGaG3VjW8seEcEVoKa+FoDyXYkbOMWdLZu3UGxLpdiWwqZ16+KtTkCmTJnC+jptreDGDjsHHnxwnDXyzuJFC9m/f77P/WaTif0GF7N48eIYahWYQYMGsbum98x2RX0z+bm5CR30rLm5ibRULX1TemoKTU1NcdZIoVDEG2VoKhISIcQRaOlNcgAH0IYWz87zo9qwwSTizIQ3Fv6wEJvUOjWiU7BixYo4a+Sbrdu2kWbuG+Ql3ZLKzt0746BR8PTXDc301DSsVu8uiIlERUUFToeWVuGnH5fHV5kgcDgcbCvbxQBbKgOS0ti0ZUu8VQpISUkJNc3ajFtdpz0hZ9na29vZXVlFaZ5/9+nhWSmsWb06RloFR3FxMdV1jb1cT2saWygu6hvUKJGorqoiN0s737lZGVQnsJeJQqGIDaqTrkhUHgSswIVAspRyoJRyiLdPnPVUxImNGzeSbNIMTYu0smJZ4hqajU0NJJn6Gmk2YaW5tSWh1zLlFWopKzL1Ge9EZ+7cuQxP0WaxVqxemdB5BwF27txJVlIKKWYLhdZk6pubaGlpCVwxjvRykTSZEvIcV1RUUJCZgcXkv5tTkpHC7h2J5a6clJSERNLtloeyvcue8BGJd+/aSUmBFoirpCCX3bt3xVkjhUIRb5ShqUhUJqGlN3lNSqmyPit6IaWkurYaq8nGquaV2ISNHdt3xFstn3R2dWEWfaNFmoTAbDIldOTZtDTN5Tc1ObE7uS4+euc9RndrsyqDU/P49ttv46yRfzZu3Ej/FG39rkkIBmZks2nTpjhr5Z9169YxSHexH5hiY10Cuvu2tLSQmhTYzTTNZqW5ObFcPFtaWrCYzVjdIsxmpCTR1JS4qU0AtmzdxqCSQgAG9Sti6x6w3lihUEQXZWgqEpUWILHDLyriRktLC2aTGZPQHmEWYaauIXGbi8PpQODdJdlkMid00BqTPiO0J7hU19fXM2/BfCYkaZ3dSY5s3ng5sXOVbtmyhWKsnLHmGwCKrSlsSXD32Rmff86UbG0A4oDMNL74+KP4KuQFk8kUlKeAU/a08URh1apVDB/Qez30kKI8Nm/bnrCDUk1NTTQ0NNK/SPMmKMjJoru7m+rq6jhrplAo4kliPV0Vih4+B46OtxKKxKSlpQWbtWe2wiTMCem+B1rIf6fDicmHoWkxmxO28wjQ2qrl0WzvSPwIkh988AHjUopI1d2UJyUVM3f+vIROGbJ10yYKheXn/wulmW1bt8ZRI/90dHTw+iuvcEo/zaX6iOJ8li9fkXDGcXZ2No1tgdtsY0cnObl5AcvFkk8+/ogjRg/qtS09JYmxpf35+uuv46SVf1auXMnoYYN7DUyNHT6En376Kc6aKRSKeKIMTUWicjuQKYT4jxCib7hOxT5Nc3MzFnNP59wkEnOdGGgj/Uk2m88ZwSRLUkJHZyzfXQZAXUN9nDUJzFuvvMZ+ssdoSDVZGZtSxKcJmCvRxY7NWym0Jv/8f4HJyo7NiWW0ufPif//L6MxUhmRoj+UUi5kzBhXxz7//Pc6a9aawsJD6lla6Hf5XXlS1djJgcOJk0Kqrq+Pdd97hN4dN7LPv7EPG8uRjjybkmu4lS5YwcWTvkAkTRwxmyZIlcdJIoVAkAsrQVCQqbwHNwJVAhRBiqRDiGy+fxBze3QPp0Ges2tra4qxJYKqqqrCae4LrmNDc5BIxiEplZSVpyb7HSlKsSQmdA3Tjug0A2LvtCT0zWFNTw8bNmxhl6z07NdaZxfT3P4qPUkGwa9fO3oamNZkd27bFTyE/1NbW8vijj3D50P69tp9b2o85337Djz/+GCfN+mK1WinKz6OsqdVvud0tnQweXBobpYLgH3+7j1MOGE1Jbt9ouScdMJqWumo++uij2CsWgO/nzmHKuOG9tk0ZN4Lv586Jk0YKhSIRUIamIlGZCuyHlsIkDdhf3+btozCADRs0g2LFisR3dVq/fj3m7p5AGUIIMlIzfv4NicT27dtJs/gOpJOMje3bEzNohpSS1WvXAFCSlpfQKWQWLVrEsLQCLKL3a22kLY/Fy5bidCZmTLHdlZXkexiau/VZ5ETj3rvu4riivJ9nM12kWixcMWwA/3fjjQl1nocMHsyuBv+DT7saWxkyJDGCl3///ffM+Gw61/ziMK/7zSYTfz77GP58x+3U1NTEWDvftLe3s3jJEg6ZNKbX9gMnjuanlSsTcgBQoVDEBmVoKhISKaUpyE/fUJ6KsJg3bx4AK5Yvx263x1kb/3z37XeY7L0vvdVp44cffoiTRr7ZuHEjNrvvZmrtMrE+AaN2AqxZswabHi23sDuV2d8kbgTXdWvXUtDVN8pousmGzWShoqIiDlr5p6mpCbvdTqbb7HyBLZnd1ZUJZbABLFu2jK+++JxLhw3wuv+kAUXQUMvrr70WY818U9K/H9Ut/l3qq5taEyIPaFNTE9dedSV3/fZ4slKTfZbbb2h/fjVlFDded23CuNB+9913jBs5lMx0jwGI5CQOGD+aWbNmxUkzhUIRb5ShqdirEEIMEkIcFUS5AUKIF4UQZUKITiHENiHEY0KInBCPl6vX26bLKdPl9umNCSHyhBCXCSE+FEJsEkK0CyEahRDzhBB/EELE9X587dXXAbBak/nmm2/iqYpfHA4Hc+fNJd2S3mu7rdvG9E+mx0kr36xdvYZkZ98cmi7STCmsXbU2hhoFzycffcwgk3ZLlFrz+PjDjxOmc+tJ2a7dZOH9POfYUhPS0Ny2bRslGVm91u+mmCyk2RLLnVpKyZ9vu40/DO1PutXitYwQguuGD+T+++5LmBmstPQM2u0Ov2XaOjt/TuETT/50260cPmoAR40fFrDsNacexvaN63j99cQw6j/68ANOPGQ/r/tOPHQ/Pvrwg9gqpFAoEgZlaCr2Ni4B/E67CCGGAUv1souAR4EtwA3AAiFEUCEI9XIL9HqbdTmLdLlLhRBDPaqcDTwPHAwsBB4D3gfGA/8F3hFxyiGxcOFCyso0d72uFicP/euheKgRFD/++CNWkw2bqffsVbolnZ9W/vRzlNREYduWbaSYfc9QpJiS2bEj8XKAOp1O3nrjTYabteiiRZZM7G3tLF68OM6aeaepvpFk4d0ISjZZEzLg0pYtWyix9nWr7peakVBRXL/55htqd+/k5IHFfsuNys5g/5wMnn/u2Rhp5p+O9nZsFv/dnCSrJe6BxGbMmMGi+fO4+bQjgypvs1r4++9P4r57pv383I4Xra2tfPXVLE4+8kCv+088fApz5syhsTGxc4AqFIrooAxNxb7IU0AhcL2U8nQp5e1SymPRDMVRQLDhE/8BjAQekVIep8s5Hc3wLNSP484G4NfAACnl+VLKO6SUlwKjgZ3Ab4AzI/xtISOl5M477sTRrrlIWkUKGzduSthE9wsWLMDm6OsiaRZmMlIyWbZsWRy08k1dfT024XtG02ay0JiAidhnzZqFqdNJkUULSiKEYBSFPPufp+OsmXeaGhtJ8mVoYk6YWTZ3tmzeTKHs+xouNiUllKH5n0cf5XcDCjEHMQ52/qAi/vvMswnhfr9pwwYGZqf7LTMwL5tNmzbFSKO+dHZ2cuef/o+/nnMsqUl9n2u+GNm/gLMOm8Ddf/1zFLULzPTp0zlg3Ajyc7K87s/KSOOwyeMTMoCRQqGIPsrQVOxT6LOZJwLbgP947L4baAUuCJRSRQiRDlygl5/msfvfwHbgJPdZTSnlN1LKT6WUvRZfSSkrgGf0f6eG8HMM4YMPPmDLlm1YhTazIoTA2WHlpptupqurK9bqBGTtmrWYHd4fXRanma0JloPQ6XRg8tNBFwgcCbYeD+DhB/7FOFnUy61zXHI/vvnmm4QMXlRZWUmGyXtHPc1ppqqqKsYaBWbjmnWUeJntLnKa2LxxYxw06ktlZSUrVv7EMXrezEAMzUynMNnG3Llzo6yZf+rr61m7cSPjinP9lptcnM3Xs76KkVZ9ef311xlSkMkho0tDrvuH4w9i3ty5rIvjGu+33nid0449xG+Z0485hLfefD1GGikUikRCGZqKfY1j9O8vvRh8zcD3QCrg/82p7U8BvtfructxAjM9jhcI1/B/d5DlDaGpqYk//el2nO3WXgaFhSSa6lt48oknY6lOUGhrBH0ZbiLh1hCmp6djd/q+rN3SQVpqagw1Csz333/Pjq3bGJlc1Gt7ksnKuKR+PPzgv+KkmXe6urrYsmMbRRbv40P53TaWLV4aY60Cs23LFoptfV1ni20pbFmfGBGU58+fz36FeSSZg4+7dlBmKnNnz46eUkHw1ptvctjQfqTafHsTAJw4sj9vv/EGnZ2dMdKsNy/993kumrp/WHVTk22cfdgEXnrhBYO1Co7du3ezavVqjjvYv/5HTpnAtq1b2bx5c4w0UygUiYIyNBX7GqP0b1+9ONc0wsgYyUEIYQEu1P+dEai8kTz4wIM4OsEies8ECSGQHVYef+KJhAuiMnrMaBxm7wE+uk12hg71XBobX0pKSuh0+p4Z7nB2UlhQGEON/COl5J6/3s1k0wBMXuJTTbIN4NPp09mWQLkeZ8+eTUlyFmk+ZjTH2vL58suZCTdDv7u8jAJr3xnNQmsyO3fsjINGfdm8eTODbKEF9y5NT2HT+vjNsrW2tvKfJx7nwv0CPwtGFeYwNCeN11+P/Yzbzp07qaqqYsqIQWHLOGnyKL76MqavjZ95//33OfHwA7AFMOatFgunHnUQ77//Xow0UygUiYIyNBX7Gq6FJL4Wxbm2Z8dIDsADaAGBPpdSzvRVSAhxhRBiiRBiSXV1dRBi/VNZWckrr74CXlJCAJiEBZPDyoMP/jPiYxnJiSeeSCstfWYuu5xdtHW1MWXKlDhp5p3BQ0ppd/qeLWl3djJwcPgdTaP59ttvKdu2k1HJ3lM+pJhsTLD24/77gl3KHF2klDx8/4McKn0b6wWWNIpFGm+88UYMNfOP0+mkuqGePEtSn3251iQqDbjHjcBu78Lm04PAO1aTia7O+Bn1jz/6KPuX5DC6KLgg4lcfPIp/PXA/DQ0N0VXMg9WrVzNuSD9MpvBjwA0pyqOuviEuwa4+/vADTvURBMiTU448kE/UOk2FYp9DGZoKRRwRQlwP3AKsQ1vz6RMp5XNSyilSyikFBcGtl/LHyy+9jIVkTML3bIXoTuK9995LqEAqY8eOZdCgQTR19+5YNclGzjrrLJKTfUd4jQcl/UroNvteg9nltNNvQL8YauQbKSV/u/tefTbTd+d3UtIAvvrqq4RwhXvttdeo317O/kn+I6KeYhrM3++5L2HShtTX15NqtWE19X0NZ1ls1DU3JkQuzeLiEqodobmjV7V3UjKgf5Q08s/mzZt56cUXuO6wMUHXGV2Uw9QhRfz93nuiqFlfamtryUvv6zodCiaTICcznbq6OoO0Co6ysjJ27tzJgRNGBS4M7Dd6GHV1dQkV5EqhUEQfZWgq9jVcM43eQ+T1bG+IthwhxLXA48Aa4BgpZUx7Cu++9x7OLv8ucSZhJsmaknB5NW+/83ZaLM0/z2p2y24anY3ceNON8VXMCxaLxfeSUsApJTZb8NEmo8m8efOo2l3O8KQiv+WSTFbGW/vxyL8ejpFm3lm3bh33/OUuzraOwBwgDe1AayaHmIq57KJL6O6O6VJor9TV1ZGZ5H1QxCpMJFttCZGSZfLkyayobwpp7fPK1g6mHHJoFLXyzV/u+BMX7D+MoozQ1j1ffegYpn/yMStXroySZn1JTk6mM0Cez2Do7OqO+QDbrFmzOGLKBCxBrt01mUwcfeBEZs2aFWXNFApFIqEMTcW+xnr929fayRH6d6BIHBHJEULcCDwJrEIzMmO6ELKlpYXdu3dj9pHg3p2OFjvz5n0fA62C5+STTyYrL4sWhzbT2uBo4JRTTmHgwIFx1qwvu3ftxtzt29JMMlnZsT0x8mg+8fBjjKfY72ymiwlJ/fnss+kY4cYdDvX19Zx39rn8wjKEfpaMoOqcmFRK88bd/OWOO6OsXWDq6urIsPZ1m3WRlZwS81kqb0ycOBGn1cqGxuC8Gtq6u1lUUcNJJ50UZc36Mn/+fNb+9BO/2394yHUzk21ccsAI7rv7r1HQzDuDBg1iR3VDRDJa2jtpaW/HCC+XUPju2284bNLokOocvt8Yvvs2sQYtFQpFdFGGpmJvQ+B3/ghXcsgTheg9BSKEyAAOB9qAHwIc5wegHThcr+cux4SWQsX9eO77/4SWs3M5mpEZ87wL69evJy0lrVekWV+YhIUVy1fEQKvgEUJw8y0302ZtBaCZJm66+aY4a+Wdr7+aRY4fQyjHmsncOXPjHi23oqKCxUuXMCrF+9pMT1JMNoYmF/Huu+9GWbO+2O12Lvrd7xnZnspBycG7HZuE4HzbaD579yNefeXVKGoYmLq6OjLNvgd6Mq02amtrY6iRd4QQnH/hhXxSFtyAwpe7Kjns0ENjbvgAPPXE41y4/1BsltCCF7k4c+IQVv70Exs2xCbi7/jx49leUU1TW0fYMn7ctItJ48djDiEqcKRIKZm/YAEHTwzePRngwAmjWLhoEQ5H5LO4CoViz0AZmoq9jUeBIb52Sik3A18CpcA1HrvvAdKAV6WUra6NQojRQoheQ7dSyhbgVb38NA851+ryZ0opey1IEUL8FS34z1LgOCllTZC/y1A2bdoEXhLFe8OMhW3bEis3JcBpp51Gc6eWWWbAgAGMHh3a6HosmD9/PlUVVeRas32WyTSn4ezo5osvvoidYl749JNPGJZciNXPml1PhpHLu2+8FUWtvHPPXXfTvHEXv7CFHmE41WTlkqRx3PPXu1i2bFkUtAuO8vJycvB9rnPNNsrLy2OokW8uuOhiZpdX09xl91tOSslH5XVcce21MdKsh+bmZuZ+/z2njPEdWGvKw+/0+vbEajZz6qgBvB+jwZOUlBSOOOJwvl7u3bCdcPWDvb69MXPFRn5x2mlR0c8Xmzdvxma10L8oP6R6BbnZ5GZnsnbt2ihpplAoEg1laCr2WIQQuUKIXr0KKWWjlDJQNvmrgSrgCSHER0KI+4UQ3wA3obm6/tmj/Fr948mdevmbhRBf63I+Qlt3WYWHISuEuAi4F3AAc4HrhRDTPD4XB/7lkbNs2XI62vx3Gl0IzDS3NFNfXx9lrUIjNTWVAyYfAMCvTvtVnLXpS3t7OzdedwNDTP5dUYUQDBEl/N+tt8V1Td7Mz76gv8wMqU5/Wy6bt26JabTOOXPm8P6bb/M726igXHy9UWRJ4wzLMP5w4cW0tbUZrGFwbN6wgULp29AskGa2JkjglKKiIo6Zegxf7vYfSGllfROkpHLEEUfESLMeli5dyuh+hQHzZgZiyoB8fpg31yCtAnPhxZfy5ryVYXk01DS18t3KzZx99jlR0Mw3ixYtYvLYEYELemHymOEsXLjQYI0UCkWiogxNxZ7Mw0DIPTF9VnMK8DJwMFrU12FoBuIhUsqg/NX0cocCTwDDdTkHAy8BB+jHccc102oGbgTu9vK5ONTfEw5fffUVZoILQCOEIDU5gzlz5kRZq9A55NBDANh///ASnkcLKSXXXn0NssFOP1tgF8JCWw4ZnclcGqdANVJKlv/0EyV+Zl69YREmStLzWLEiNq7V3d3d3HTt9ZxpGe4zZ2aw7JdcTGG7mScfe9wg7UJj+eKllCan+9xfaklh2cLFMdTIP+ecfz7f1ftfpzm7qo6zfvvboFzyjaaiooKSjMgiuAIUZ6ZSWRW71QzHHXcc0prMnFWhR3D+3zdL+M2ZvyEvLy8KmvlmyeJFTBpZGlbdSSOHsHRJ4rRrhUIRXZShqdjTCatHI6XcKaW8REpZIqW0SSkHSylvlFL2mbaTUgoppdfjSCnrpJQ36PVturxLpZS7vJSd5pLl5zM1nN8TCitWrKCmuiaoQEAuOlscvPDCi1HUKjz66ykU+vVLjPQgoBltd/zpdhZ+t4Ax1sFBd7pHWgey6af1XHv1NTFPa1FfX4/d3kW6yXdwGl9kO5JZv3594IIG8Omnn5LS5mRskjHr/04xl/Lcs8/R3t5uiLxgaWtrY9X6tYxO8RW0GsamZrNg4Q8JkeIE4PDDD2dNVS3dfvRZ1dzO0cccE0OtooMkduulTSYTt//5Lzzx2QIcIVzriromPvphNTfdemsUtfPO8mXLmDDS5woVv0wYOYQVy5cbq5BCoUhYlKGpUOxj3P+P+5FdlpBmHawiheXLl/PTTz9FUbPQsVo1YzlR0oO4jMxP3vuYSdbhmENY72gSJiZYhzF/1jyuvvKqmAbM2LlzJzkpGWHNRKU4zOzYFshb3Rjef+NtJjuNm73Jt6QyICmL2bNnGyYzGL766itGZ+aRYrb4LFNoSyHHYmPBggUx1Mw3aWlpZKSm0uBnnWZlS2vcIj/n5+dT29YZsZza1g7yYzxDeOqpp5KZV8j0RauDrvPUFz9w4UUXUVzsP3+s0djtdjZu3szoIeFd5xGl/dmxa1fcXNYVCkVsUYamImEQQuwI5QOcFW+d9zTmz5/PggU/YJGhuZgJIaDTxs033xL36KjuuNYGJsL6UYfDwfXXXsf09z5hf+sIbKbQ14pZhJlJtuEsmPU9l1x0MV1dXVHQtC+1tbWkmkOfzQRINdmoKItNdp7lK1YwzJpjqMyB9hR+XLLUUJmBePm55zkyCDflI5NyeOWFF6KvUJDYu7ux+BmMsJrN2O3Brf02mpEjR7KlOvLnwJbaJkaOim1gMSEEd997H0/PWIi9O/AA05aKWuas2cINN8Y+0vamTZsoKcwnJdn782LUKRf3+vbEarFQOqBfzCL7KhSK+KIMTUUiMSDET1p81Nwz6ezs5Oqrr0F2WsOaubKQzJZNW3j99dejoF14/Lj0RwBWrVoVVz26u7u5/A+XMWfGt2EbmS5cxuaqBSs479zf0dERfuqDYKmvrydZ+p5d80eyyUpdjNJw1DbVk20OnJj+xqqZvb79kS1slO3s4+keNVavXs3a1Ws4LDOw+++xWcXMmvU1u3fvjoFm/ikrK0NISZafYDuDM9NZs2ZNDLXqYeDAgbTbu6mLIFUIwMb6VibsP9kgrYLnkEMOYdiIUUxfHHhW86Wvl3L5FX8kMzO04F1GsGHDBoYP6h+RjGEDS5ShqVDsIyhDU5FIVALLpZSmYD7AK/FWeE/igQceoKmuBQuBO+reEELgbLfxl7/8lYqK2Mxg+aOzs5OvZ30NwPvvvh83PRwOB5f/4TJ+nLOYSdbhWEzhGWzumIWJCdahbPtpE78793dRn9msra3F6vD+Oni88ste354kCxt1dXVR080dh9OJKbxl2T4xYcIRxCySUfzr7//glxnF2EyB3aozzFaOyyzisYcejoFm/vls+qccXJTnd5DqwMwUpn/4YQy16kEIwbjRo9hQ1RCRnA21zUyYMMEYpULkymuu5d35/g3NxtZ2vl6+nksu/UOMtOrN5s2bGVwS2Rrp0pICNm/aZJBGCoUikVGGpiKRWAaMFUIE21NPHB/OBGfNmjW88N8XkJ22iCJCmoUVuszcFAeXLU9eevElkoTmvrV2zdq4hcy/7ZbbWDp3MRNtw4Jakzm9Zm6vb1+YhIlx1qFsX7WZP152RVRdlivKK0jqDu91kGayUV1TbbBG3kmyWLFjrFFolw6SU8IbfAmV1atXs+D7+ZycHXzwql9n9efD99+P66ym0+nkxWef45TiXL/lTuxfxOdffBGzgQdPRo0Zy7a68FMESSnZVlnHqFGjDNQqeI499lh21zZS7uc3zFm1mcMOPZTcXP/XIlps3bKZQcWRGZqDSgrZuiX0KLsKhWLPQxmaikRiBWAFxgVZPvYx9PdApJRcc/W10JWEKYTgNL4wOVJYsOAHvv76awO0C4/Vq1dz//33k+3IBiBH5nL5ZZfHvIP72muv8dlHnzLRGpyRGSomIRhvHcqieQv595NPGi7fxaZ168k0h5caIt2cTH1jQ0zWkybbkrBLY6OwduEgPSs2LogP/u3v/DqzhOQgZjNdZFtsHJdZzKP//FcUNfPPjBkzMHe0MTkv22+53CQbR5Xk89wzT8dGMQ/6DxpMTVv47bC1qxuTyRQXl1QAs9nMwQcdyLLNvl25l22r4Khjjo2hVr3ZtnULg/oVRiRjUL9Ctm3bapBGCoUikVGGpiKR+AAtJ2WwUzf3A/F74+4hfPrpp2zbtj1sl1lPhBA4O6zceuttMY2M6mLdunWccfoZ5Mk8kvT1elnWLGQznH7a6TEzNquqqrjrL39lvHUoVgPcZX1hFibGW4bw8EOPsHVrdDpn69atJ9cS3pJnszCRm5bFxo0bDdaqLxaLhW6DDU2HlD9HL44mmzdv5of58zkphNlMF7/K6scHH35ATU1NFDTzj5SSh++/n98PLArKG+L8wcW88Px/aW5ujoF2vUlLS6OtO/z20W7vJiUlvKBYRjFy9Fh2+AlqtLuumeHDh8dQo95s2bKV0v5FEcko7V/Mlq3bEiqwnEKhiA7K0FQkDFLKxVLKm6SUQeXQkFKul1J+F2299mSklNx7z7042s2GJlG3kERTfRPTp083TGYwzJw5k1NPOZW0znSyPKJ25ok86nc2cMzUY2ISkOSZp56m0JRDZpgGWiikmpMZYC7g0YcfNVx2S0sLZZXl5FnSw5ZRYE5n2bJlBmrlnU57FxZh7GvLIky0t0U/j+bLL7zAMRlFIc1musi22Dg4o4A333gjCpr55/vvv6epuoqjSvKDKj8gLZUD87N59X//i7JmfbHb7VhN4T/nrCYTXX7St8SCrOxsWju7fe5vauskOzs7dgq5UVNTQ3tHB8X5kbnt5mZlYLWYKSsrM0gzhUKRqChDU5EQCCEeEUKc6Pb/ICFEfPyX9iKWLl1KbW0dFowdpRdCYG8TPP1UbFzkWltbufWWW7nyiivJdxSQbcn2qlO+KR9TvZlTTz6Vp59+OqrJ7j/84EP6mYPrfBtBf2sB0z+bbvgswNKlSylJz8McgQGX353C99/5X3MaKXa7nfaODlKCXsIdHGnCSnWUg1tJKfnkw484Ks17ezljzTe9vr1xZHIuH779TlT088d/n36KM/vlYfIYqDry09m9vt35zYACXnjuuZjPWJXv3kV+Sviz05kpNto6Omlvj/7Agy8cDgcmP8ayxWyiu9u3IRpNfvzxRyaMGmbIoOWEkcNYujS2aYUUCkXsUYamIlG4ETjE7f+twA3xUWXvYebML3F0iqA6Bk2O8l7fgbCIJH5a+VPUE2/PmjWLgw88mC8+mMEA00DSAswgZluz6Wfqz2P/fJzjjz0+arObu8vLyDDHLsNOiikJe1cXjY2NhspdMH8BBY7UiGT0t+bwww8/GKSRd8rLy8lOSYvIIPZGjjmZXVFOb7J792462toZlBR+exmTms3GrVtpbW01UDP/NDU18d3cuRzfP7Q1eWOzMzF3dbJkyZIoaeaddatXMzg3/PFJkxAMKshlUxwjojbU15GR5NtYzkhJ+jl/cKz5bvZsDhxnjNvugeOGM3eOckhSKPZ2lKGpSBRaAPferkAF+4mYFctXgI+0FZEihImU5NSorRvcuXMnvz33t/zxsj+S3JJCoSjEEuRsVpIpiRJKqNtcxyknn8Ltt99u+Joxs9mMJHozpt5wSicWi7EzevPnzKPYlBGRjDxLOrV1ddRGMZ/mrl27yLOF797rixxzCmXl0XXh27x5MwPTMyOaCbKaTBSnZ7Jt2zbjFAvArFmzmFSQR0aIa1iFEBydn8X0jz+OkmZ9kVKycvVqRhVmRyRndEEWy5cvN0SncKgoKyM/y3c7z8tIobKyMoYaaUgpmTlzBkcfONEQeVMPmsTMmTOj6nWiUCjijzI0FYnCJuBMIcTBQohB+rZs3YXW7yeeSic6nZ0dYODaTE8EJsOjjXZ2dvLQvx7iiMOPYM0PaxggBpJhCd0QEkKQY81lkGkw09+ezgH7H8C7775rmDvf0NIhNHTHLuBJs6ONnKwc0tONNbbWb1hPfhjn1x0hBMXpuaxdu9YgrfpSW1tLmjA+aE+6sNHQHH5KjGBoamoi3YCAUekWa0yD7Hz20Ycclh3eLOzhhTnM+Cx2a7i3bNmCzSQoyohsdn58QQaLF8w3SKvQKdu9i+Ic3/djcWYqu3ZFdwbeG8uWLUNIJ2OHDTZE3rBB/chMS2HBggWGyFMoFImJMjQVicK/gGHAfDS3WdBcZ7cG+GyJuaZ7EAMHDULK6ESGlVLSae+guLjYMJkLFy7kkIMP5cWnX2SAaSB55nxMEbpKWkwWCkQhOfYc7vy/O/nFKb8wZFbozLN+Q6VsiFhOsFQ4ajnt9NMMlelwOGhobiLdFHlE4nRsVERxraORwaxiKRvAZDIZMvftRGIyxea13d7ezrfffcfhRXlh1R+ZlUFrc1NUBx/cWbZsGeP7R5bfEWB8SS4/Lo2ty687O3ftol9uls/9JTkZ7Nq+LXYK6bz6yv8487hDDb1XzjzuUF57JfZBoxQKRexQhqYiIZBSvgkcDvwDcL15fgJeCfB5NebK7kEceeQRJKVFJ/WGk25SU1IMMTTtdjt33nEn5559LqJWUEQxNpPNAC17SDWn0Z8B7F6zm6lHT+WV/70S0ezmxZdcTKW9ljZHh4FaeqfT2cUuezV/vOpKQ+Xa7XZMJlOfQC/hYJKCjo7onYv+/ftT6zB+PXCto42i/MgNFH9kZ2fT4og8gEuL3U5Wlm8jxEg+/fRTxuZlk5ccXiAxkxAcX5TH66+8YrBm3lm9ahUjssLLBevO8PwstuzYFZO8sJ44HA4qq2v9zmiW5GWxa9eOGGqlzch/8smnnHnCEYbKPe24w/nyq1lRdblXKBTxRRmaioRBSvmDlPKvUspL9U0fSikvCfSJq9IJzoknnkiHvRVpcO5BAGm2c9rpp0U8wl1fX88pJ5/Ch299yEDTILKs0etICyHIteRRQj/uvfterr7q6rAjOObl5XHV1VexybE7pHpJSUmYTCaSkoLvwG/uLuOcc89h0CBjPcWTk5MxmUx0OSM3gjqFg5ycHAO08s64ceOo7WylydFpqNz19joOO/xwQ2V6UlhYSH1X5JFMa9tbKSqKLIdhMDidTp585GHODDKliS9OH1jMW2++SX2977yQRrF9yyb6Z0XmNgtgNZspyMqIS+qN6upqsjLSsFl9Dw4W52RQVhZcwDajeOuttzjygPEU5GYbKjcnM53jDt2f119/3VC5CoUicVCGpiJRuQT4KNRK+rrNo4xXZ88kJyeH448/gW5h7EyTlBJp7uLyyy+PSE5LSwsnn3QylZurKKIYiwHr2IIh2ZxMfzGA2TNn84dL/hD2zOYNN96IM91EeWdN0HXsdjsffPABdntw+fpquhpoNLfyl7/+JSwdAzG8dCjV3ZGvUazsbGDs2LEGaOQdm83GL3/xCxZ2GWcAOKVkiajmtxecb5hMbxQWFlLXHtlsbJfTQVd3d0xmNN99910sLc0cWhhZvsTi1GSOKcnn4QcfNEgz33S0t5Psx0CD4Ad5UmzWuKQ42bVrFyV52X7LFGVnUF5ZHbPUMVJKXnzhv5z3i6lRkX/eqVP530svqqBACsVeijI0FQmJlPJ/Usqfwqh6CfCt0frsydx66y1gsxvaMemmnQMPPJARI0ZEJOfmm26mtbqVPJEX1szoquaVvb5DwSRMFFLEgnkLeOGFF0KuD9qM4LPPP8uG7p10OoNztbNarZx55plYg4jk2e3sZp1jO0/8+8moGRhTjzuGnY6GiGTUdrdgsVkpLS01RCdfXHvTDczr3k2HATOwACs6K8nrV8whhxwSuHAEZGRk0NbVGdE92OZ0kJ6SEvX1pM3Nzdx3111cM3yAIce6dGh/3nnrLdavX2+Adr7JyMykpdP/4E2wgzzN7Z1kZEQWICscduzYQb8A6VlSk2ykpSTHLPLsokWLwNHNAeNGRkX+xFFDSU9JYt68eVGRr1Ao4osyNBWKvZzx48dz0IEH0i2MGaGXUiKS7Pz1rr9GJGfXrl3MmDGDXMIzMo3AJEzkOvP454P/DNsIOOiggzjvgvNZ370zqPKdnZ04nU46OwO7gG7s3sXxJ53IiSeeGJZuwXD6mWewVdZFZARtslfzawPcqAMxatQojp46lXldkUfddErJLLmTP99zV9T1djqdER/DBDhiMOvz0IMPckB2GuP9BKQJhZwkGxcO7cftN98c1Vm4YSNHs7W+xW+ZYAZ5Gts7ae3spKSkxGgVA7J+/ToG5wU2cIf2K2Djxo0x0AjefedtTj/2kKjeI6cdczDvvv1W1OQrFIr4oQxNhWIfYNo908BqN2StZjftTJkyhf322y8iOcuWLSMrOQuzMEesUySkmFPo6uyKKGXAX/76F8gwh+RCGwjNZbaNB/8VXbfD/fbbj5SMNMrtDWHVl1Ky0VnNeb+Prvupiz/95U7m2XfTFWE05VVdVeT1L+bYY481SDPflJWVkZ+WEVFnPd1spaOrk9bWVgM16015eTmvv/Yqlw8bYKjc0weVsGvTRubMmWOoXHeOPOooftjlP6hMMIM8C7dXcvABB2A2x/65tGjBfMYPDhxcbVz/fBYtXBh1faSUfPH5F5x0xJSoHuekI6YwY+aXOBzRiZCuUCjihzI0FYp9gPHjx3PooYdEvFZTSglJdu6ednfEOtlsNiSxWWfkDyklTqcTmy38KLfJyck8+dS/2eTYjcOAdDJO6WSjcxcPPfowmZn+XekiRQjBeReezyZneEZymb2BzJwsJkyYYLBm3hk5ciRjx45lTWe1zzLBrMVbaqrlj9ddE5PZ9O+//56RqZHNEJqEYGR2QVTzDr76v/9xXEkB+WFGmvWFxWTi3IGFPPfvJw2V685BBx1Es93J+qrIAg99vqmCM879rUFaBU9NTQ0rflrJgSMCB/w6Ymwpn378YdTXaW7evBmr1czgfsEHoAon2FlJQR652RmsWbMmHDUVCkUCowxNhWIf4c9/+TPC1h1R58Qu25i8//5MnDgxYn0OOuggGtsb6ZbGrLcLlzZHG7m5uRFH8zzssMM45LBD2N4ZeS7JXZ1VDBk5jFNPPTViWcFwxplnsrkrvAAjWx21nP3bc2Lq/nzK6b9is2j2uT/QWjwpJRtaqjjhhBOipWKvY7387PMcZovcFfUwayYvP/e8AVp555uZMziqIDsqso8qzmfegh+iFvTFbDZz4cWX8PbKbWHL2FbbxNqKOn79618bp1iQPPvM05yw/yjSUwIbaAeNHExLY0NUZ4gBVq1axbjhg0OqE2qwMxfjhpcqQ1Oh2AtRhqZCsY8wceJERo8eRbcMb1ZTSoklFW77v9sM0ScnJ4fTfn0aDc7opz7whZSSRnMDN91ykyHy/nzXX9jpqMIZgYuylJJdVPPXu/8aM+NtyJAhpKalUh9GnspKUwtTjzkmClr5ZsCAAbSYfc8cB1qL1ykdIIhqOhYXn376KXW7dnNwRmSpQgCOySpm2eIlUZvVLKuooF9qclRkZ9qsWMwmGhoaoiIf4NLLLuO7TWVUNocX4ffV5Vu49LLLSU2NPE1KKKxevZpXXn6Zq04OLiiVySS46VeH83+33ExLi/91qZFQXl5OUYAouJ6EEuzMneK8rLiklFEoFNFFGZoKxT7ElVddiS0tPOPFgZ30jDQOO+www/S592/30mnrpLnb9+xUNKlz1DFwyEB+//vfGyJvzJgxjBg5gsquuvB16m4kMzebQw891BCdgmXEsOE0hGhoSimpaW1k1KhRUdLKOw0NDSRL36+vQGvxrMJEt8NBR4exaX88KS8v508338LlOaWYReSv22STmUtzBnPVZZdHxWBLTkqiwxGdGUcpJZ32bpKTo2PIgjZwcO65v+XN5VtCrlvd0s7sTbu57IoroqCZbyoqKrjw9+dz2xlHURwg4qw7x+03kv0H5XPFZZfS1RVcxOtQkVJiCnGwK5RgZ+4I/XgKhWLvQhmaCsU+xEknnUR7V2t4QYHM3Zx7jrEukrm5ubz8v5eppooOR3Q7/Z402ZvoSGrn1ddfNTTwx7nn/ZZ6c/izDNXORs45N7auqADpGRl0hZE2pNPeRVpaWhQ08s387+ZSYg9/HaFZmBiYkcfSpUsN1Ko3ra2t/O6sszkltYCxqdmGyT04o4ApIpWLzzvfcANj6JAh7GyJLN+nLyrbO8nOSI/6bOEVV13F9DXb6eoOba30J6u3cdppvyY3N7LcoaGwfft2TvvVLzjzwJH88qBxIdf/89nH0l1bzqUXXUhbm/HXraSkhIraRsPleqOitpF+/frF5FgKhSJ2KENTodiHSE1NZfSo0TgIbf0MgC3FxNFTjzZcp8MOO4z7H7ifCsqxO0PXKxzaHK3Ummp45913DE9jcPTRR1NrD79z1mxqZ+oxUw3TJ1ga6utJMvlPeO+JEIKUpKSoukN60tLSwoyZM5mYFNma2vGObN7436sGadWbrq4uLj7vfPo1tHNGtrERXAEuyC3FsXUX1155paFrHsdPPoDNzcFFtQ016MvmphbGxGDme/DgwYwcMYJFO6pCqvf11irO+V1sIicDLFiwgFNPPolzDx7FH044KCwZVouZhy/9JUmtNZz2y1+we/duQ3WcNGkSP67egCNKs9wupJQsXbORSZMmRfU4CoUi9ihDU7G3IfSPwgfjJ4zHGUYAno6uDkaOjE7S7vPOO49rr7uWCioMidrqj05nJ5Wykv++8N+IU7R4Y+jQoXQ57HSFYTQ7pZO61gbGjx9vuF7+kFKydsN68i2hJ6kvSs1l1apVUdDKO6++8iojk/LINkfmgnlQUj8+/+JzKioiD97kjtPp5LqrrqJ9w1b+mDc0KjPTZiG4MX8EG75fyF/vuNMwuYNLS6nsDs59MdSgL+XtHZQOGxaJekFzxNFTWVURvPt6W5ednTX17L///lHUSsPpdPKff/+bSy+6gHvOPZbzjp4ckTyrxczffn8SU4cXcMJxx/LNN98YpKn2LCsoLOCHFdEN0rN09QaSk1MYPXp0VI+jUChijzI0FXsbjwJD4q1EIlNQUIAk9BHqrq5OsrKMSeLujZtvuZmTf3ESNYQX/TQYHNJBJRXcc+89HH/88VE5hhCCASX9aQ3DFbjd2Ul2VjYpKSlR0Mw3K1euxIqJdFPo7qiF3al89eVXUdCqLx0dHTz56GNMFf0jlpVusnGgrR+PPfyIAZr18MDf/8G6uQu4KX9E0Osyw0kJkWQyc3vBKGa+/yHPP/tcuOr2wm63Yw7SLg416ItZiKitJfSkoKiIxq7gB6yaOuxkZWRElOIoGGpqajjv3HP48PWXef3m33HEuKGGyBVC8IcTDuLBC07i+quv5J5pd4cc9dUXV151Dc++OyOq6yefe28Gf7zq6pgvF1AoFNFHGZqKhEQIMSiIzwAhRK/oCVLKRinl9njpvSegRSkM/YVusVhCDvAQCkIIHn7kYXJKcmjobgiqTqgd9DpqOfGkE7no4osi0DQwxSXFdDpD71R3OLsozC+Igkb+efeddygVuV47eoHO8TBrAR++/0FMkq2/+cablMhUBlqNyS061TqAd95+m5qa8HKIevLtt9/y+osvcVvBKJJMwa/7DTclRLrZyp8KRvKv++9n+fLlIWrbl7nffMPIINJrQOhBX0ZlZTD/+++jlt7EncaGBlItwXdvUm0WWlrboqrbwoULOXbqUQxO6uKlG86mX57xg3YHjhzEO//3e5bPncWvf3kq5eXlEcs866yzqG1u45uFyyNX0Atzl65kW1k15513XlTkKxSK+KIMTUWisg3YGuCzHagXQuwWQjwphIg8f8A+wLp16zGJ0IPfJCelsHXr1iho1ENSUhJPPf0UDaI+qBH0UDroXc4uWmUrD/zzASNU9Ut2dnZY+UG7pYOs7OjNGnujq6uLt998izHWYq/7A53jAmsGtm7Bt99+G001kVLy9BNPcpQwbk1tljmZCbZCXnn5fxHL6u7u5pbrrufK3CFkW0KbGQs3JQRAiS2VC7MGcvO110U067RixQrmfz+P4/oXhi3DH2OyM0jp7uLtt9+Oinx3Fs6by5iC4O+jzGQbOekprF69Oir6vP7aa1z4+/P485lHcdNpR2ENMvhYODPduRmp/OeK0zl0QBYnHn8cP/74Y7hqA1rbfODBf/KP596ircPYgcbOri7+9uyb/P3+B0L6jQqFYs9BGZqKROUVYA7a1Fsj8B3wjv7dqG//DvgcsAPXAIuFELGfDtqDcDqdrFi+HDOhu4g57SJq+fvcmTRpEv369aMtiFQboXTQm7ob+fWvfx1V9193vZyE3umX0onFElpAnkj5+OOPyTWlkWPxHjk2mHM8Whbw9JP/iZaKAPz000+0N7UwzGps7ssDTYW8/fobEcuZNWsWmQ7YPz0v5LrhpoRwcXRWMfUVlWFH0W1sbOTySy7m6hEDSbdGp/0JIbh11GCm/fnPrF+/PirHANi1axfLVqzg8KGhDUicOLwfr70S+YCDJ888/RQP3f83Xr7hHI6eMDykuuHOdJtMgitOPoQ7zzyS8849J+Ln9tFHH83Bhx7Gv9/4JCI5njzz9ueMmzCJk046yVC5CoUicVCGpiJRuR+YBDwADJRSHiul/J2U8lhgIPBPff8twFDgHmAwcEec9N0j+OGHHxDC7HVGM9DouaNL8M7b70ZbRUALQmGXgV1PQ+qgm2H0mNgEm2hv78AUxuPVJEx0GjxrEIinnvg3Y6TvWaxgzvGo5GKW/biMLVtCz18YLPPmzWOUKcfwdVyDLdlUVldF7D67ZNFiJphiu7bWhRCCiUlZYRma7e3tnH/OORyYbOGkAd5ntY1iZFYGVw0fwG9/8xtD3Dq98fA/H+TX4waTEqLBfNbEIXzw3nuUlZUZpstnn33G008+zovXn8OQotAHICKZ6QY4ZuII7r/wZC658AK2b49sRcm99/2ND76ax9ZdxgTP2lVZzZuff8s/7o++h4lCoYgfytBUJCoPACuklHdKKXvF25dStkopbwd+Ah6QUjqllPcAy4FfxV7VPYdnn30Oe5v3mbZAo+cWkti8eRMbN26MpooA7Ny5E4sIr3PlC+mAbVu3GSrTFzXV1dhCTBUCYBNWautqo6CRd5YvX075zt0MSYrMEcAizIy2FRsWlMYbWzZsIs9hfLAWkxAUp2azY8eOiOR0d9uxxDHgtQUR8jpZh8PB5RdfTGZdFdeMGhwlzXpz8oAifpmfwdmnn2Z4Wpx169bx+WfTueiAESHXLUhP4YwJpfz93nsM0aW9vZ3bbrmZBy86lZLc8NYURzrTDXDo6FIumLo/d/7ptrBlABQWFnLVVVfz9NufRSTHxbPvfM4ll1yqcmcqFHs5ytBUJCpHAfMDlJkPuCd2/AEwPmndXsKOHTv45uuvseJ91iXQ6LkQAuGw8c9//jOaarJz5062bN1CqtnYxO7p5nQ+/vhjw6Ix+mPHzh2kmkJPv5FqTqasvCyqER7def6Z5xhtLsJkwCzhOFsJ77z9Nu3t7QZo1hcpZVTNuEgDwYybMIHNxCaqqjc2OtoYM2ZMSHX+fu+91K5bzR3jhhrSBoLlvCH9mWBycsUlFxsagOfPf7qNS6eMJCvIgEaeXDxlJN9+PcuQwEqzZs1ieEke+w2NPEJypJw/dTI/LFxEdXV1RHIuufRSvl24jPqmlojktLS1M2POYi67/PKI5CgUisRHGZqKRCUJCOTHVaKXc9EChB6BZR9h2t3TMDmTED5SLgQzem52JDNjxsyorrG6/x/3k23JwRRkaohgSTGnIOyCN96IfD2ePxobG6lvbCDNHLobpc1kxWwyRzy7FgwtLS189tl0xtiMCa6TZU6lyJrF9OnTDZHnyeBhQ6gTxhtyUkqq25sYMCCyMaqTTjqJNS31VHVFx9D2x5b2ZmocXRx++OFB11m1ahVvvPoKd40fhtUU266AEIJrRg2mcuN63nnnHUNkzp07l60bN3DWxPBThqTZrFw2ZQT33vXXiPXZuXMnQwuNXU8cLsk2K/3yc9i9e3dEcrKzs5m8//4sWRnZ83/p6o2MGzeWggIVUkGh2NtRhqYiUVkBnCuE8Jq5XggxETgHzV3WRSkQ2ZDtXsrixYuZ9fXXmB2RJbkXwoSw27jxxpuiMuu2YsUKPvvsM3JEdDpoWY5s7rv3PhobG6MiH2DJkiUUpHtPFRIMeUnZLFmyxGCt+vLJJ58wMCWfNLNx0R6HyzxeeeFlw+S5c9BBB7HVFNlMijcqHC2kpadTXBzZ+sTMzEwu/cMfeKNpl0GaBYeUklebdnLzbbeGlAfy9Vf+xxn9C8hJim7uSF9YTCYuHlzCK88b42791BOPcfH+Q7GYI+vWnDZ+CBvWrWXt2rURyRk0aBBbqxsikmEUnfZudlXVMmjQoIhljRk7ju3llRHJ2FFWyZgxYyPWRaFQJD7K0FQkKvcCKWiRZJ8XQlwshDhF//4vsBBIBu4DEEKkACcC38dN4wSls7OTK/94JXTYfM5mhoJFprBuzTrDZiJcSCm5+aabyZE5mMNIvxIMKeYUkh3J3P+P+6MiH2DunLmk2cM33lK7bHz7dXRThQC88b9XGeo01qAfmlTAytUrqagwJmCIOwceeCANjg5qugNHIw6FFfZqfvGrXxoi68Zbb2GzsLOk2Zi8nMHwTWMF9pwMLr700pDqle3cyYDU+AQvcjEgLYWKqqqI5TQ1NbFg4SJOGDUwYlkWs4mTR/bnww/ej0jOcccdx4ZdVazbGZlRZgTvzVvBIQcfRG5ubsSykpKS6OyKbPlBp92OTaUzUSj2CZShqUhIpJQzgfOBDuAPwAvAdP37Un37hXo5ABtwLhC5z9NexgMPPEB9bRMWEdlspgshBLIjidtvv91Qg+Kbb75hx9YdZFui626WQy5vvPFGVIwhgO++nU2uKSPs+nnWLL6fN89AjfpSXV3NytWrIw4C5IlFmBmaXMj0Tz81VC6AxWLhzN+cyWK7cdfNKSXLZDW/Pd+YZPGpqan8+9lneLZuK03d0V8LXNXVzmsNO/jPf58POS3O5IMO4of65ihpFhzzq+rYb7/9Ipazfv16SgtySbUZE0BsXFE2q5Yvi0hGSkoKd91zD3e+NpO2jvit3d1cXsNzXy5i2n1/N0ReVVUledm+gxut/+LlXt/eyM/OoqoyOs9fhUKRWChDU5GwSCnfQktlcgHwKPAi8BhwITBISvmGW9lGKeVMKeW2OKiasPz444+88MKLyA6boWkhzMKKs9PClX+80jAX2meefoZUe5rh6Ss8sZgsZJozo7JWs7u7mw2bNpJtCd/QzDCnUV1TQ1NTk4Ga9ebLL7+kNLUASxRmjgfLHD567wPD5QKcf+EFLJPVhrW5rfZ6MnKzmThxoiHyAA4//HDOPPccXqjfZphMbzil5Kn6rVx9/XWMGzcu5PoXXXIpP7V08G1Z5DOK4bCpqYXXt5dz6x13Riyrra2NNJtx+T9TrRbaWlsDFwzAb3/7Ow48/ChueWk6XfbYhw+oqGvimmc+4t6//4NRo0YZInPD+vUMiTANTmn/ophEL1coFPFHGZqKhEZK2SKlfF1KeauU8nIp5S1SyteklPEdit8D6Orq4rLLLoMOm9e8mZFidiSzYvlPhrnQLl26lIwIDLRQSHIkMfub2YbL3bFjB2lJKVjCSG3iwiQEOWlZUe2IffHpZ/R3ROdcD7TlsmLVSlpajF9POWHCBFIy0tnZbYwR/pOs5azfnWv44MZfpt3NDquThc3RWzI+q7EcCnO5/sYbw6qfnZ3NK2++yeObdvHVrti6d66ub+LWpev45yOPMHZs5Gv1CgoKqG42LghTTWsHBUVFEcsRQvDwo4+R1X8oN704nY4IXU5Doay2kUuffJcrrrmWc8891xCZUko2bNzIyNLIXJRHlA5g4+bNIafjUSgUex7K0FQkJEKIq4UQ2fHWY0/mmWeepaG22TCXWU80F1obd955pyFGRWdnp+GRZn1hEmZaDZix8KSqqopUa+Tr3pJNNqoMWLvmDSklCxctYoAt8vVa3rCZLBSn5bJ06VLDZQshOOnUk1hv959r9LHCk3p9+2KjbOTEk/yXCYeUlBQee+o/vFS/nU5n4M70h2OP7fUdiKbuLt5q2MnjTz+F2Rz+INKkSZP44JNPebGsjqfWb6M7hFQjc381tdd3MEgp+WRHOXes2MBjTz/N6WecGaLG3hk1ahS1rW3UtPo3Npfcck6vb18sq2jgoMOOMEQ3i8XC8y++RO7gEVzz7Ee0tAefE3PlU3/q9R0sWypqufjxd7jyuhu4+pprQ6rrj8rKSqwWCzmZ6RHJSUtJJjcrk127Yhs4S6FQxB5laCoSlX8D5UKId4QQvxBGRLHZh2hvb+fRRx/B2WGJqiuqWdiQdhPPP/98xLIGDxpMuyM2qSE6ZDsTJk4wXG53dzfCgMeqQNDdHR1Xu7KyMpzdDjLDSL8SLHmOFENyEXrjgIMOotIW+Zq3TtlNTVuTITNq3jj88MOZcughfNYQWUoJb7zfuJtfn3FGWC6znowdO5ZZ331HRUF/rl+6lvK26NyDrfZu7lu1mU+au5g+YyYnn3yyYbLNZjPHHXsM32yI3HCxOxx8t2m3ofpZrVaeee6/jD7gUC7/z/s0tETvObd2ZyWXPfkud9w1jSv+eKWhsmtra8nLyTJEVl5ONrW1/geMFArFno/qvCsSlTuArcBZwCfAbiHEQ3paE0UAZs6ciRkrZmFMcAx/ODvNvPjCixHLueQPl9BiaYlK2hR3nNJJi6mFCy+60HDZqampdEv/BuIv84/s9e0NB05SUqJjCG7atImCFGM6i77IlsmsW7UmKrIHDhxIg4zc0Gx0dFKUmx/RjGAg7px2N9ObyoOa1QyWxu4uvm2s4NbbQ5vl8kdeXh5vffABZ15+JVcuXMV35ca6/K5vaOayH1ZSfOiRfDX7O0aOHGmofICzf3seMzZH7gL8/dYKRowYzsCBkUewdcdsNvPQI49y5Amn8senPqCxrcNQ+QDrdlZy1dMf8MBDj/C73/3OcPkmk8mw57OUMurr8RUKRfxRhqYiIZFSPiilHAscBDwNWIGbgWVCiB+FENcLIfLjqmQC89WXX9HRGpv1LyasNDQ2UlZWFpGciy66iNTsFBq7o5fjEqBO1nL01KOZPHmy4bILCgpot0fegexwdEYtmXl1dTUpRHcAItWcREVZeXRkp6bS5Yx8trdLOqJmzLsYOXIk+++/P983GecG/XVTBaecckrEeT89MZlMXHv99bz1wYc8vaOaZzfswGmAUfHFzgr+b/kGpv3rIR554omonfNjjjmG3Y2t7GqIzI3/y80VnHv+BQZp1RshBPfcdx+HH3cSNzz/CfZu457RZbWNXPvsR/zz4Uf59a9/bZhcd4qKiqioqsUZgou1N6SUlFfVUGTAOliFQpHYKENTkdBIKZdIKa8FStBmN6cD49Ciz+4WQnwUP+0Sl3Xr12MWxkVh9IcQgmRbClu2bIlIjs1m45VXX6Fe1NHhMH60H6DR3oBMlTz2+GNRkV9UVERze+Szsi2dbZSUlBikVW86OjowyyhH9sVEZ1fwa9FCobu7G5MBMyEmIWISjOT8Sy/he7txgyffdzbw+0suNkyeJ/vvvz/fzJ3L+pRM/rFqS0TG5ptbdvNqRQOfzpjBaaefbpySXrBYLBx37LEs2BZ+2gyH08nCreWcFIV1uy6EEPztH/8gf9AwHv1kriEyux1Obn35M6667oaoGZkAubm55ObmsHF7ZO7gO8qrsFitUXvGKRSKxEEZmoo9AimlXUr5gZTyNKA/cJe+61dxVCthaaivN2StYNBIQX19fcRixo0bxz8e+AfVogqnDDxqPj5jQq9vf3Q6O6kVtbz+5utkZ2dHqqpXbDYbyUnJ2AO4z/pDSkl7Zzt5eXkGataD1WpFiii7J+PEYo7OQEdLSwvJEUT1dZEsLLREISCUJ8cddxxrG2vpMMB9tsbeQZ29g4MOOsgAzXyTm5vL+598QmNeIc9v2hmWjK93V/FJTROff/VVVFxlvXHAwYewsT78a1rZ3E5aaqrhs8WemEwmnvj3f5ixbCNrd0bu7vv2nGVkF/Xn6muuMUA7/xx/4onMWhBZjtGv5i/lhBNOUK6zCsU+gDI0FXsMQuNE4HHgdjR32sh8ePZS2trbgdi9xKVT0txsTMaZ8847j8OOPIx6Z50h8lzUm+q57f9uY9KkSYbK9cRiNiMJ35Bz1TWZovN4zsnJoUMEb/TcUHRir+9gaHfaySuIjmd7TU0NqQa4/qaZrDS0RC9X6c/HSUtj9LBhbGqP/Fjr2xqZsv/kqK4rdZGSksLLr7/OjPJatjaHZrx1dDt4csMOXnrttagbbe7k5+fT0Bn+IE99eye5uTkGauSb3Nxcrrv+Bl7+9seI5Didkpe/Xcrd9/4tJobb2Wefw8ff/hC2+6yUko+/WchZZ/uP/KtQKPYOlKGpSHiEEGOEEA8AO4EvgN8Bu4G/AkPjqVsiIqWkqakJU4i3d6a5pNd3KNi7HFRXGxdA5J5776HR2WhY4IkuZxdddPLHP/7REHm+sNvttLW3Y4nAbdkkTNisNhoaGoxTzI3S0lIa7NGdyWt0tjNidHRmserq6khzRm5o2TAjpYxKmhtPxk2cyI7OyI+z3d7GxAMOMECj4MjLy+M355zDnIqakOr9WNvAyFEj2W+//aKjmA8aGxvJsIbfNjKSrDQ2RX/wwcVZZ5/NnJ82Yo/AhXv1jnIyM7OjPoDmYvLkyaSmpfPDirVh1f9xzSa6ERx22GEGa6ZQKBIRZWgqEhIhRK4Q4hohxCJgFfB/QDrwAnCElHKUlPLvUsqQ/bqEEAOEEC8KIcqEEJ1CiG1CiMeEECENZes6PqbX79TlvSiEGBDtY/tj586dmM1mYpkRxtkNS5dGNjLvTmlpKfZue0Qzg+50ObsYNHAQVmt0g+CsXbuWrNRMzBGe+7y0HFauXGmQVr0pLS2lsb3FkIA6vmiy2RkTpbQhDQ0NJHVHPnMjhCDdlkxTDAyLISNHUO20Ryyn1uRk8JDSyBUKgaKSEpodoc1eNdvtFBXGPtDLih9/ZEhW+MGG+mWmUVffELVBHk8KCgrIzclhZ3X4x1u7s4oDDpxinFIBEEJw0SWX8taMOWHVf2vGd1x08SXKbVah2EdQhqYiUSkHngAmA7OA84FiKeUVUsr54QoVQgwDlgKXAIuAR4EtwA3AAiFEUAvj9HIL9HqbdTmLdLlLhRB9ZlqNOnYg5s2bh9WUZISooDELGwsWLDBsBnLp0qWkJKUgDHL/TTYlsXnLZhoboxvR9ssvvyRHRJbMHCDDnsyMz78wQKO+2Gw2Rg0fSbmBAWrckVKyu72WKVOi0/nt6OjAbJDDvNVsob09+rlbS0pKaDBFrnS9szvmAVSWLVpIaWpySHVK09NYvmJF1FMVuSOlZPa3XzNlYGHYMixmE5MGFTNnTnhGVDiUlBRT0xh+pNyaxhZK+hubiiUQZ599NguWraauIbRBmqaWVmb/sJxzzz03SpopFIpEQxmaikRlK/BnYLCU8iQp5ZtSSiNCkT4FFALXSylPl1LeLqU8Fs3oGwX8PUg5/wBGAo9IKY/T5ZyOZjQW6seJ1rH98umn0+lqi+3SVRNmuu3drFu3LmJZdrudG2+4kQxnpmGj3haTlUxLFnfcfoch8nzx7lvvUCCyI5ZTZMnlgw8+jDiNgC9O+sUp7HRGHrzJG1XdTWRn5xieh9CF1WrFadBkiMPpjPosN2iGZp3DgBnNro6YGppVVVV8N2cORxWHtt52ZFY6dHYwf37YY4Ihs27dOuwdHYwqzI5IztGD8pn+4QfGKBUEGRkZtHWG3zba7N1kZUU3L64nmZmZnHD8CXz23cKQ6s2ct4QjjzoyaoHOFApF4qEMTUVCIqUcLaV8QEoZWRx1N/QZxROBbcB/PHbfDbQCFwgh0gLISQcu0MtP89j9b2A7cJL7rKZRxw6GH3/8EbOwRSomJIQQmLCyZMmSiGXd9de7qC2rJducHblibuSSy4zPZ/D+++8bKtfF1q1bqaqqIteSGbGsTEsadDtZsWKFAZr15fQzTmdzd3VQkX1DZaOjmjPP/o3hcl0UFRXRYotcb4d00tjRGrV8pe4MHjyYsrbIgmU5pJPKlqaoGfDeeO7ppzm+XyGZttCMcSEE5/TP5/F//StKmvXlyy9ncmRpUcSDU0cMLeHb776juzt6ruXuZGZm0dwe/hhqS4edjIwMAzUKjt+cfTafzQvtef/Z3CUqCJBCsY+hDE1FQiOEKBFC/F4I8SchxF1ePn8NQdwx+veXUvbuYUspm4HvgVTgkAByDgFSgO/1eu5ynMBMj+MZeeyAdHV2GuZyGgpOhzNiN8TFixfz5htvkk+B4Wt4zMJMIUXcdutt1NSEFtwkGJYsWUJBcq5heueIDBYvXmyILE9GjhxJ6ZAhbOqsMlRup7ObDV2VnH/B7w2V686kSZPY3h252++u7iYG9xtAcnJobqHh0L9/fxxCS08SLls7WhhQXExaWsRjUUHhcDh49ZVX+M3A8NZanjigiBUrlrNjxw6DNfPOj4sWMrE4O2I5RRmppCVZ2b59e+RKBUFJ//6U14W/Tri8oSWmkX1dTJ06la07Kyivrg2qfE19I6s3buW4446LsmYKhSKRUIamImERQtyDNgP4PzRX1bvRZhDvdvt7WggiR+nfG3zs36h/BwqXGY4co44dkP32259uOiMVExJSSpwme8Tr8p55+hkynZkRRW31R4o5hVRS+fDDDw2X3dDQgNlhnHEsuolqUJLb7vwTy5y7DZ3V/KlzJ8cccwylpaWGyfRk/PjxiGQr2+0NEcn50VnNr848zRilAmAymTj22GNY0Bx+ZOaFbXWccPLJBmrln/Xr15NuNTMoPTWs+klmM5MLclmwYIHBmnmnsrycwvTwAwG5U5SZTkVFhSGyAjFpv/35aWd4A192h4PV23YzYULgPMJGY7VaOfXUU4J2n50xdzEnHH8CKSnGXCOFQrFnoAxNRUIihDgfLX3JXOAstKSQ/wPOA55Hy5/5FnBsCGJdC1l8TYe4tmdHQU7ExxZCXCGEWCKEWOIvlcjf/n4fpiQ73TI2xqaUEpnUzlFHHsnkyZMjktXY0Ig5SkamC+nAsJyf7gwePJh2U5dh8rpsjqgabCeccAKlo4axomOXIfIau9tY2V3GXfdOM0SeL0wmE9fceD0znTvCDjZT42hjmb2KSy+7zGDtfHPx5Zczo7UaexiGfZujm6+bK7nw0kuioJl37HY7SRHm67SZTHR1GXdP+CM3L4/6dmOeebUtbTFbR3jssceybNOOsAICzVm5meHDhsVlRhPgnHN/y8ffLgzqPvx49kLOOke5zSoU+xrK0FQkKlcBu4CTpZSu6adtUsq3pJRXAr8EzgEiXxC3hyClfE5KOUVKOcXfurJx48bxv1f+h0jpopv2kDrjoebQdMpuZHIbBxy4H8//9/mQ6nrjgosuoMncSHcIqTfGZwQ/mt/haKeVFn71q1+Fo55fjj76aDpEF3VBRHP9Zf6Rfvc3dbdS393ESSedZJR6fRBC8Ni/n2B59y5q7P4N7xuKTvS73yGdfGPfwE0338zgwYONVNMrF19yCbIgg+87fRvJjxV6P3cO6eQt+wZuvPmmmHbQDznkEEaMH8v0eu/Lzj8c63vM7J2GnRx3wgmMGDEiWur1YfTo0VS1trOrtc1nmbm/mupzX0e3g8VVtRx00EFR0K4vRxxzLHO2B54xXnKLf2Nna20Tbd1Ohg0bZpRqfsnKyuKss87m+a+8u8mvfOpPXrc7nE6e/XIRV193QzTV88uhhx6K3QlLV2/stX39Fy/3+n/Vxm3UNbVyzDHHoFAo9i2UoalIVCYAn0sp3S2On4fXpZQz0dZC3haCTJcF4CtEn2t7QxTkGHXsoJg6dSqzZ3/L0DEDIaUNhzR2VkFK+f/s3Xd8m9XZ//HP0ZYt7xUnTuzsQRICBAJhl70KZZQy2kJp6Z60v+696NO9KasU6GKXUkbYhCSQQfYethM7jve2ts7vD9tgx7Ik25Lu2+Z6v155ucjyne/jR3Z03eec6yJk6SHs7OZLX/4CDz38UFLOul1++eV86KYPUatr8IaHf4M7Gu3Bdup0Hb/6za9S8obd6XTyi1/9kh2hKnyR0X+/A5Eg20KVfO8H3095N8mZM2fyo5/+hOcDu/CPYc7jG/5Kyo+Zzac/+5kkphue3W7nrw/ez4uRGvYGWhL+Oq01j/v3UbZoTtqyDvTL3/+OJzvrqPQlvqK+rbuVVb5Wfnj7T1OYbCin08lnPvc5fr6zmtAouh/fue8QJ596GnPnzo3/5CS49toPsKqyjgPNYzu/+5e1e7jp5pvT0o243//72td4ftNeNlcm3vvugZc2kFcyOSU3zRJlsVj42K23ct9/Xoj5vL8+voKP3PJRrGNcIRdCjD9SaAqzsgMDuwx4GVqkbQOOHcE1d/d9HO4cZH/1Mdw5yrFcJ1l/d8IqKip48cUX+OGPf4DNE0I7vET02Dopaq0JRHoIOzs5+bQTeP31lXz2s5/FYkner5Lvfu+7/OLXv6DB0kBTpJGwDo/peoFIgHp9BJ0f4dHHH+XKK69MUtKhLr30Uj7x6U+xMbAHX3jk2/gCkSCbgvu46tqr+eAHP5iChENdd/11XHzl5Twf2E14FNs6t/tqqc/wcc/f/prU10E8M2fO5O6//ZUH/TupCSbWTOWFQDUNBVbufeBvac3ar7y8nJ/+/P/4ReMeuhIYd9Ic9PObpr388c6/UFg4shEjyfDZz3+enBmz+PnOSiIj2BnxcFUt67xBfvX736cw3WAFBQV87Zvf4nsvbMIXHN3vuWd2VnOgK8hnP/+F5IaLo6CggJ//6td87f5nae+O31Bta9Vh7ntpA7//0x1Jb5o2UjfccCObdu5nT1X03QVVtUdYvWkHN910U3qDCSFMQaVzoLIQiVJK7Qde1Vp/pO+/dwJ1fXMn+5/zAHCx1jqhwzR9I0b20dtgaObA7q9KqSygjt6zoMVa6+4Y1/EADfSeEy0d2HlWKWUB9gMVfX/HgWT+3f2WLl2qRzJKpKuri9/97nfcccdfUGE74eBofu419gzF1Gll/Pzn/8eyZctGcY3ENTY28s1vfJMVz60gy5oFo+ikq4nQGe7k1o/fym233ZaWDqMAv/rlL/nz7//EEvtsPLbEmql4wz42Bfdx9fXv54c/+mFa30CGQiE+cPX7ad12iLOcsxP+u6v8TbwW3s/TK55l1qxZKU4Z3X+eeIKvfP5LfMp1LEW24Tuyvu4/xJvuNp55YQUlJaPrpJosX//K/+Ot/z7LN4rnYlXRC15/JMx363dw1cdv4Yu33ZbmhO/o7u7m/e97H4VtTVxZVhz3+Wub23i6uYsnn3kmraNYoPdG2Mdv+QjdB3bwowtOwDKCn6Eth5u47X/rePzJ/3LMMcekMOXwvvn1r7Fz7Up+f+vlWIe5EdLc2c11P/8HP/3Fr7jkkkvSnDC63//+97z58nP87hufHPK5r/zybhaccCq3ffnLY/57lFIbtNZj6zgnhEgrKTSFKSmlHgGmaa1P6vvvPwK3Ah8BHgPOAh6hd8TIuSO47nP0zrP8nNb69wMe/xXwReAvfWdA+x+fB6C13nXUdf7Sl+dXWuvbBjz+OeC3wHNa6wuP+poR/d2xjLTQ7NfQ0MDdd99Na2vriL8WerfkXnzxxWktgjZv3szatWtH9bVKKS644IK0v+EFeOCBB/jm17+Jy+5M6PnegI+vff1rfPozn05xsui6urq45IKLyKmPcJKrIu7zG4Id/M+3jX889K+U33SI52/33cfXv/b1mM8pyMvnqWefTssZ0nhCoRBXv/dyuvdXU+iI3oWzzt/NzJNP5O6/3Wf4qlV3dzdf+PSn2Lt7d9zn5uXn84c772LKlClpSDaUz+fjqsvfywyLl9vOWJTQ925fUzufeWI1v/vzXzjvvPPSkDK6YDDIVVdcTqSrhcIcT9Tn7Klp4OL3Xc23vv2dNKcbXnd3NyctXcrnbriM3Kx3cnf29PCL+x5j3foNSZn1KYWmEOOPFJrClJRSNwF/Ao7RWlcqpaYCG4G8AU8LAmdprd8YwXVnAquBYuA/wE5gGb1zLvcAy7XWzQOerwG01uqo6xT0XWcO8BKwFpgPXE7vaudyrfX+sfzdsYy20BTp1dTURHd33AVqAFwul+ErbfX19Zz3nnPJDFmxDLPS1u+It5Xf/OF3hp4RGygYDBKJcZbQZrOZ6oxYR0cHTz/99LCZ7XY7l1xyCRkZoxsv8m7W0dHBlZdfxuZtOxJ6vt1m5fd/+ANXXXV1ipPF19bWxosvvjhsEzeXy8VFF11kqtcywNNP/49//uPvQx6/+ur3c/kVVyTl75BCU4jxRwpNMW4opaYDtwEz6d2C+iet9dZRXGcq8APgQqCA3m2rjwPf11q3HvXcqIVm3+fy6Z3neQVQSu+Z0meA72itox5YGcnfHYsUmiJV6uvr2bZtW9znFRYWcuyxIzkiLYQQoyeFphDjjxSaQoxDUmgKIYR4N5FCU4jxR7rOCiGEEEIIIYRIKik0hRBCCCGEEEIklRSaQgghhBBCCCGSSgpNIYQQQgghhBBJJc2AhBiHlFKNQHUKLl0INKXguqkkmVNvvOWF8Zd5vOUFyZwO4y0vpC5zuda6KAXXFUKkiBSaQoi3KaXWj7eufpI59cZbXhh/mcdbXpDM6TDe8sL4zCyESA3ZOiuEEEIIIYQQIqmk0BRCCCGEEEIIkVRSaAohBrrT6ACjIJlTb7zlhfGXebzlBcmcDuMtL4zPzEKIFJAzmkIIIYQQQgghkkpWNIUQQgghhBBCJJUUmkIIIYQQQgghkkoKTSGEEEIIIYQQSSWFphBCCCGEEEKIpJJCUwghhBBCCCFEUkmhKYQQQgghhBAiqaTQFEIIIYQQQgiRVFJoCiGEEEIIIYRIKik0hRBCCCGEEEIklRSaQgghhBBCCCGSSgpNIYQQQgghhBBJJYWmEEIIIYQQQoikkkJTCCGEEEIIIURSSaEphBBCCCGEECKppNAUQgghhBBCCJFUUmgKIYQQQgghhEgqKTSFEEIIIYQQQiSVFJpCCCGEEEIIIZJKCk0hhBBCCCGEEEklhaYQQgghhBBCiKSSQlMIIYQQQgghRFJJoSmEEEIIIYQQIqmk0BRCCCGEEEIIkVRSaAohhBBCCCGESCopNIUQQgghhBBCJJXN6ABCiJErLCzUFRUVRscQQggh0mLDhg1NWusio3MIIRInhaYQ41BFRQXr1683OoYQQgiRFkqpaqMzCCFGRrbOCiGEEEIIIYRIKik0hRBCCCGEEEIklRSaQgghhBBCCCGSSgpNIYQQQgghhBBJJYWmEEIIIUYkEong8/kIh8NGRxFCCGFSUmgKIYSYUEKhED6fD6210VEmrK988YtUlJdz4TnnGB1FCCGESUmhKYQQYkJZuuR4yqeVc/uPf2J0lAlrx9Yt/HjpAnbv3SsFfYq0tbVx11138fe//31cfI8jkQj33Xcfd9xxB/feey+hUMjoSEIIg0mhKYQQYsLo6uqiqbmJD2YtYuvGzUbHmbBqDtcxM8uD3WalpaXF6DgT0ssvv8xdf/gN3/z616ivrzc6Tlzbt2/n/27/KfvfWsWvf/FzNm3aZHQkIYTBpNAUQggxYdTU1FCYkU2+1UVtTY3RcSYkrTVNba0UuBwUZWZy5MgRoyNNSDU1NZyxYDoVpcUcPnzY6DhxbdiwgdOXLuLrt36A9yxbwvr1642OJIQwmBSaQgghJoz6+nqybS5yLC4ampuMjjMhdXV14bDZsVssZDvttLW1GR1pQjpSd5ii7AyKcjzjYkVzw/p1LJ5dDsCiOeVsWLfW4ERCCKNJoSmEEGLCaGtrIwMbGRY77d2dRseZkHw+H06bldP/+woOiwW/3290pAmpubGBPE8GeZkumprMf9Nk65YtHDOrAoAFsyrYtm2bsYGEEIazGR1ACCHeLbq6unjwwQfRWnPttdeSn59vdKQJx+/3Y8OCDQvBUAitNUopo2NNKDabjXBfc5qI7v1vkXydnZ14SvLwOO10dXUZHScmrTX7KyuZMbUUgBlTJnHwUA2hUEheH0K8i8mKphBCpMnq1av55U9/zm9u/xXPP/+80XESsn//fu655x5WrFhhdJSEWK1WImg0GovFIkVmCmRmZtLj613F7AmFyMzMNDjRxOT3+XDYrNht5l81bm5uxuV04slwM/eim3A47OTlZo+LLb9CiNSRQlMIIdLkwIEDFNpyKSSHffv2GR0nIXfdcSe/+97/8elPfNLoKAnxeDwEVASfDpHhdBkdZ0JyOBy4nE4AWr0+CgoKDE4Un9frZdbMGZSUFPOnP/3R6DgJsVgsRLRGR3pvmphZe3s7OVmeQY/lZGXJ+V0h3uXM/ZtLCCFiuOC8C5g2dRpf+fJXjI6SkMr9B7CHrLgtTvbvGR+FZuX+/SxxltHt9dLT02N0nLgKCgroigToigTIy841Os6EVVpcBEBjVxelpaUGp4mvsrKSggwX3zn/RDaOkyY17owMvIEgvlAYt9ttdJyYIpHIkGLYarUQDocNSiSEMAMpNIUQ41IwGGTz1s0UqxJWvb7K6DgJOXy4DpfFgdPi4Ejd+BgJUVtbS5bVTa7bMy5GLEyePJlWfzdtET+lkyYZHWfCmjZ1KgD52dk4+1Y3zay6upopuR7Kcj1UV1YZHSchubl5dPb46PAFyMnJMTpOTC6Xa8j2Xq/PT0ZGhkGJhBBmIIWmEGJcOnz4MBmuDNwWF4fr6oyOk5DOjg5syopNWeju6TY6TkIam5vJtDjJsrvHxXmrkpISOv1eGkJdTCsvNzrOhFU+YyYAZZMnG5wkMXV1dRRnOCjJcnOkwfyvY4CikhKaO3to7TL/9uS8vDxa2jvQfU2iAFrbO8jLyzMwlRDCaFJoCiHGpcOHD+Oyu7AqGz6fF5/PZ3SkuCIRDUqxun0LOqLjf4HBtNZ0dHXgtjhwYaexsdHoSHFZrVaK8wvYH2pjxtzZRseZsMoqKgCYOm2asUES1NraSrbdSo7LQVuHuTu49isumURzl4+mji5KSkqMjhOTx+PBYbfT1tl7A63H58fn80tnbSHe5aTQFEKMS62trVixopTC5XSNi6YTGRluwrr3zJLLZf5GNd3d3VgtvSuwjoiFjo4OoyMlZHLpZCpD7ZRNLTM6yoQ1uW8ls7RvC63ZBQIBHFaFw2olGAoZHSchJSUlNHV5aWxtZ9I42AZeNmUKtfW98z5r65somzJZuj4L8S4nhaYQYlzqPQ/U+ybGarGavv0/QHFxMYFIEICCQnNvhYPeuZ9OmwMAa0SZfpZfv9LJpbSHvKZfBeq3cuVKTli0mBOPXcLWrVuNjpOQ/i2RBUXFBidJjMPhIBjRBMJhbDar0XESUlhYSFNHDx1dPeNiC+q08mnU1vfueqitb2TaOFntFkKkjhSaQohxyeFwAP1D4yPjYij41PKp+OktNKeVm/9NmNfrxWmzA2CNMC66zgLkFxUCjIs35wAvv/gSxwZtTA8oVq0aH42t+pu8jJdmL7m5uXQEInT4AuRmZRkdJyG5ubnUNraQmZmB1Wr+4risbBp1jS0AHG5ooaxsfKx2CyFSRwpNIcS4lJ2dTYQIAP6A3/RdGQGmlJUR6V0gZFqF+RvVdHd3Y7f0FvA2rHR2dBqcKDHujN5REOOhGyrAlvXrOSYjl3n2TDavW290nISMty2RpaWlNHoDNHR5mVQyPlZhXS4XbZ1db88sNbtJpaU0tLQD0NTaTsk4GHsjhEgtKTSFEONSSUkJgXCAsA6jLIrMzEyjI8U1efJkAn0rmpPHQbfOzs5OnNbeFU2HstLW0mJwosREwr03ICKRiMFJ4tNas3XnDma6spjhymLL5s1GR0qI1+sFGBdNuACmTZtGTVsXNW3dlJdXGB0nYTardVAnVzPLy8ujo7v3ddHe7R03OwqEEKkjhaYQYlwqKyujq6eLQCRASVHJuFhhKSoqwtd3RrO42PyrKk1NTbjoXdHMsDhoqG8wOFFi2lvbAMbFmdL6+nrCwRAFNifTnJlU19aOi+Ktqam36UvjkfExD3b69OnUNLVysLWTmXPnGh0nIZ2dnZTk59LVPT5GIbndbnyB3t9vPn8At9ttcCIhhNGk0BRCjEsZGRl4PB66w91U9I1aMLusrCwCoQDQOw7A7A4dOkRGuLfQzLK6qDlUY3CixNTVHsaqFHXjYL7q9u3bmZGVx5U7X8ZhsTI5K4c9e/YYHSuuygMHADiw1/xZATIzM8nJ8rCxrpXpfTNAza6uro6pxfkooL293eg4cdlsNsLh3q7a4YgeF+fmhRCpJYWmEGLcKptSRleokznz5hgdJSFWqxXd18BoPDT32LF1G1l9h0pzrZlU1xwcF9tR9x/YzwJnMfv37jM6Slw7duygDPvb/13uyGTHjh0GJkrMto1vAbBj506DkyRu6pTJbKiuY+o4GcmyZ89uphdmM31KCbt37zY6TlyRSASlet9WWpR6u+gUQrx7SaEphBi3ysvL8Ua8zJgxw+goCfH5fNj6muuMh3EsGzdspNiWDYDLYifD7mLfPnMXb+3t7TS3trLEUcz6N9YaHSeubW9tZJr1nZmqZdrK9i3mHnGitWbDWxsBaGtrp7Gx0eBEiSnpm0U5HmZSAqxds5qF5SUsnFrMunXrjI4Tl8/nw+no/f3msFsJBAIGJxJCGE0KTTGhKKUsSqnPKqXeUEq1K6VCAz53nFLqT0qp8bH8JeIqm1pGWIcpKioyOkpC2tracPQ112kxeWOdzs5OqmsOUmTPfvuxUnsOb775poGp4lu7di0VnkJm2vPZsHGD6Vdgt2/bRoXrnW3U5U4PW996y8BE8R04cADCvb9al5QU8vrrrxucKDG5fc1pxkOHar/fz5o313LinGksm13Gyy+sMDpSXN3d3WS4ejvkup0OusfJ2VIhROpIoSkmDKWUA3ge+A0wE+gEBnaIqQQ+AtyQ9nAiJXLzcoHeUSfjweHDh3FZereimv384Jo1a5iaVYRNvfPPREk4k5dWvGBgqvheffElpocyyLW6cCu7qbeh+nw+qmprmOp8p2PydFcWO3bvNnWn0ZdefJGlBbkAHJ/l4sXnnjU2UIIczt6V4/Ew9ubVV19l1uRiCrIyWT6/gg0bN9Ha2mp0rJg6Ojrw9BWaWZluOsbBuVIhRGpJoSkmkq8AZwPfB0qAuwd+UmvdBrwGXJD2ZCIl+ptNjIfzjgBVVVXYgr2/disPVBqcJrbXXnmVouDgrpFl9nxWr1lj6iLoxRUvMMeWD8AslcPLL71scKLhbd++nbKsXJyWd16/+TYHFg0HDx40MFlsLzz9NCfl9a7CLivK5+WXXjb1a6Jf/1bO8bCl8+F//ZOLjpsFQKbLyWnHzOTxxx83OFVszU1N5OX0vi5yszw093UmFkK8e0mhKSaSG4BVWusfaK0jQLR3PpXAtPTGEqnS090DvDPTz+z27NqNK9K7dXb3zl0Gp4nt9VdXMtmWO+ixHKubSDBEdXW1MaHiqK+v50hDPdNsvVsjZ5HDS8+ad8vhunXrmGMfPP9VKcVcTy4bNmwwKFVsgUCANzdsYGlh7zbUskw3djS7dpn79QzQ1twMYPqVwdbWVl586SUuPnHB249dfuI8/nH/3wxMFV9D/RGK8np/9orycqivN/euDSFE6kmhKSaS6cAbcZ7TAuSnIYtIg4PVvas+DQ3jY77j3j17ybT2rhLu37/f4DTDC4fD7Kvc/3YjoH5KKSa58tiyZYtByWJbu3YtMzMLsfTNVJ3pyGPj1s2m7X655pVXmWMdOmtwDk5Wv7bSgETxbd26lSnZWWQ7em+YKKVYkp/NmjVrDE4W38FDB8lwOjh06JDRUWJ6+OGHOH3hLHIy3mkSdcr8ChoajrBt2zYDk8V26NBBSosLAJhcUsChcTIOSQiROlJoionEB+TGec40oC3lSURa7Nq9C4/Vw84d42PEQnV19duFZm3dYdNuNzxy5AhuhwtHX4fc39a/syroCdmorDTntt+tm7cwKfDO+TuPxUGmzUlVVZVxoYahtebNdetYkJE75HPzM3J5Y9Wq9IdKwJYtW5ibnTHosbkZTra8Zc4V2H7BYJAD1Qc5Z+5Utm/fbnScmP754AO8b9n8QY9ZLRYuO3E+//zH3w1KFZvWmv0HKqmY0tvRt3xyCVXVB017k0cIkR5SaIqJZBNwfl9ToCGUUjn0ns80/8wDEVcgEGDf/v3k2fN5Y028hWzjeb1e2jracVt6CyGb1UZ9fb3BqaJramrCY3dF/ZwrYqWx3pwryHt37qLI0lvIf6HhOQCKHR5TFsbV1dWocISiKN/nGS4PBw/X0tnZaUCy2Pbs3MG0vhEW/co9Gew1+VbwLVu2MCU/h2Vlhbyx8jWj4wxrz549NDbUc+Kc3hMeiz71s7c/d9mJC3j8scdM2Um5uroat8tJfk4WAJ4MN0UFeaYfhySESC0pNMVEcicwFfi7UmrQnj+lVC5wH5AH3JH2ZCLpNmzYQKYzkyxbFnv37zXlm/KB9u7dS74nF9W3rTPPlc2ePXsMThVdMBjEqqL/82BRFvw+c84AbW5sIvOo+0yZ2Ex5Jm/jxo3MGfB6GMimLMzILjDlFuW6QzUUuQZ3bS1yOalrMOdNk34vvvA8J5UVcFJ5CavffNO0c2yfeeYZzl40C6tl6M9fRUk+uRku3jLh+Jt169Zx7LxZgx5bMm8ma9fKfV0h3s2k0BQThtb6n/QWk1cBjcAnAZRS64E64HLgT1rrp43KKJLnyf88iSNox6Is5Lpyef75542OFNPmzZvxqHfO47lDdjaa8A0jgMvlIhiJvuUtpCNkeDKjfs5ooXAY21GFm0UrgsGgQYmGt3vXLqZEbMN+fqrVacoGOx3t7WTZB+f22G10mnxm4pOPPcbZ0yeRn+FidnE+r7zyitGRonr9lZc5ec7UYT+/bE4Zq1aZb27pqy+/xMmLB4+oXrZoDq+89KJBiYQQZiCFpphQtNYfoXdW5g6giN45mscD+4BbtNafNTCeqWmtCYVC4+JMTSQS4dFHH8Wjerdp2QMO/vHgPwxOFduKZ57DE3pnm2Q2max4xpwdUfPz8+kJRV/xCVjCFBQWpDlRYhx2OyE9eFthWGlTzk08eKCSItvwuQoiFmoOmq9pjc/nxWkd/NbBabUQCJivmO+3detWOtpaWTylEIDzZxTz778/aHCq6LZs28aiitJhP79wWgmbNqxPY6L4wuEwL7z4ImeeuHjQ46cvXcSrr6005Y0eIUR6SKEpJhyt9X1a6+MAD1AGZGmtF2mt/2pwNFP7ype/QmlpKWVlZdTVmbst/erVqyGscFl7C7dsWzZvrH2DlpYWg5NF19bWxmsrX6PE8U7D4yJHHlu3b+Pw4cMGJouuoKCATm931GZFAZumsLDQgFTxZefk4NWhQY/5iZCVlWVQouF1trWTYR1+RTPDaqOjzXxbfoOhENajVo1tykIwFBrmK4z34P1/49J5ZW93Iz5/3jReefVV0/2+6OjowOfzUdQ3izKaipJ8Kg8cSGOq+NauXUtRfi5lJUWDHi8pyGN62SRWmbSxlRAi9aTQFBOW1tqrtT6stTb3ni6TeO21lWRYCvBkZLNx40aj48T04AMP4gq+sxpkVVZyHLn85z//MTDV8O78y18ocRbgtLxzftCmrJQ5i/ntr39jXLBhOJ1OnA4Hfj20ePCrkGkLzbyCfHoig1dPenSQnJwcgxINz2a3EYnRdTisNdYYhahRQqEQNsvgQtNqUYQiEVN2UfZ6vTz26KO895jytx/Ldjk4feYUHvr3vw1MNlRTUxP5OdlRz+32K/Bk0NxirhsQT/33v5x38rFRP3fuyUv475Pm/L0shEg9KTSFEASDQQ7VHMKKHX93iE2bNhkdaViBQIBnnnmGbOvg4sEVdPH3B8zX+v/gwYP8+Y9/psIyacjnKmyTeOjfD7Fzp/nGs7idLoJ66DbqoA6TmWnOM5o5ebn4j8rsi4TweIZfITJKQXExHeHAsJ/viAQpLClJY6LE+Hw+HEc1qrEqhdViMWWDnaeeeooFpQWUZve+Zpf+8iEALp9fxgP33Wuq4jgQCOB0xL654LDbCJhoK6rWmqf/9xTnLT8h6ufPW348zz7zrCk75QohUk8KTTFhKKUOJPBnn1LqLaXU35VSVxmd2Sz279+P2+nuvZMesbB+vXln4r3++utkODKwW3oHxm/r3AqAx+Zh1+5dNDU1GRlvkHA4zEc/8lHKbSVvz88cyGlxMMM2hY/c9BHTvUmPaE20dRUV9VFzsDscRBhcOETQ2O12gxINb8ac2RyJDF8wNFg1M2bOSGOixHR0dZEV5fuZ7XbR0dFhQKLY/vXA37h09tAzj8eXFeHt6DBVZ1+r1Uo4HLsgC0cib28BNoO9e/cSCYeYU1EW9fMVUyaR4XaydevWNCcTQpiBFJpiIrEADqCi708Z4O772P+YC5gFXAc8pJT6r1LKmv6o5rJv3z6sfYWbRdnYb+LZZ888/Qw2/9C7/hZlIdeda6pukj+7/WfUVx6mwjF52OdMdRQTaOrhG1//RhqTxRaJROjq6cJpGVpQOLDS3NxsQKr4erp7sB01lsWuLHi9XoMSDW/BggUc1MOvaFb5Opk/f34aE8UXDodp7ewixzH0dZGf4TbdXNimpiY2bt7CGTOH/vwppThvdimPP/qIAcmiy8rKosvri/mcLp8fj4m6Pq9evZplx86Pud33lGPnsWbNmjSmEkKYhRSaYiJZDNQCK4HTAJfWupTe4vL0vsdrgCnAXOBZ4GLg8/EurJQqU0rdq5Q6rJTyK6WqlFK/UUrlJRpOKXWeUuqXSqkXlVLNSimtlDJFn/rKykoCvt7VFQtWGhobTLvV6cUXXyTDEv2NlsVnZcVz5ujkunr1au6+8y4W2CpivglTSjHfVs6Tj/2HZ555Jo0Jh1dbW0uGw4U9yj2YjJCN/fv3G5AqviO1tWRZBs/RzLI4aWxsNCjR8JYsWcK+9mbCUbZudodDNPZ0M2fOnChfaZy6ujpy3W4c1qFvHUrcLg4dMleX3BdffJETK0px2aNvRz1rRinPPv2/NKcaXkFBAe2d3YRj/O5t7uihyERnpDdv2siiWdNiPmfhrHI2bzL3uX8hRGpIoSkmkh8DOcA5WuvVWvfOOdBaR7TWq4DzgFzgx1rrvcA19BamN8S6qFJqJrABuBlYC/waOEBvgbpGKZXorIdPA18ClgOmajW6b+8+In19X5SyYLPZTfnmvLW1lYaGBtyWodtQATKtmb0daQ3m9/v55K2fYK51Gq6jCp9o7BYb823lfOFzn6ezszMNCWN76623KHXlR/1cEZm8+bo5Vyd279pNsXXwTYj8kJ3du3cblGh4ubm5FObnU+sf2qtsv6+DBbNnm27L7759+5iWE72Db5nDyt69e9OcKLaVL7/ESaW5w35+XkkeTU3NHDlyJH2hYrDb7RTk5dLQ1jXscw43t1M2LXZhl05VBw5QPnno+fOBKqaUUFVZmaZEQggzkUJTTCTvA57UOkqrTEBrHQD+C1zZ9989wItAvGWDPwHFwOe01ldorb+mtX4PvQXnXHoL3ET8DFhI79iVyxL8mrTYv/8AA3cQOx3mW50AWL9+PTkZOcOuEDotTtra2gwvkv/9739j8cEkZ+LzJgvsOWTrTO65++4UJkvMiyteoCjgivq5Mkc+b657k5DJxll0dnZyqK6WybbBhdBUMlnzykqDUsW2aOFCDviGFhWVvi4WH3+8AYli27ZtGzPc0YvfGZkutpusW/XGt95iYenwP4MWpThmSjGbN29OY6rYpleUU1k//Nb0qoZWZsyancZEsbW1t5ObHbvZVm6Wh7a2tvQEEkKYihSaYiIpoPeMZiz2vuf1OwIM2+avbzXzfKAK+ONRn/4u0A18UCkV99CM1nqN1nq71lFaeRqsqroKCwO2SUYsHDDZrDboLTSVP/Y21Bx3juHjWR57+FFKIrkj/rpJOo/HHnks+YFGQGvNiy++SLkz+va8TKuTbEcmGzaYq2HUq6++yixP8ZAzmrPtBaxe+4Yph8bPXbSQuuDQ86P1hJizwFznMwE2vvkmszOj7yaYm5PFJhNtj4xEIlTX1lKRH3uGanm221QrsfMWLGB/3fANzQ40tjNvnnleG+FwGFuUrdQDWawW0x7FEEKklhSaYiI5AFyllIr6zkIplQ1cBQzcw1MKxJrafXbfxxX9W3H7aa07gVVABnDyaEMbzev10tzchGVAve3vCbB923YDU0X35po3cWhn7Cf5leHjWWprasmwRl8RjCXT6uJIvbHb+Pbu3UvIFyDfOvy9kzKdzQvPP5/GVPE9+ejjzA0OXVnJsToptntMsaX6aCWTJtFhGXpGs4MIJSYcbbLhrQ0ck5cd9XMVWZk0NDfT2mqOGY8tLS24HfZhz2f2K86wc+RwbZpSxXfMomPZc2T47+HumgYWLlyYxkSxuVwuvP7hm1oB+HwBnM44v7eFEBOSFJpiIrmT3kY/byqlblBKVSil3H0fbwTeBCYDfwFQvfsvzwI2xbjm3L6Pe4b5fP+tcHN17RiBHTt2kOn2DNqOqrCx5o03DEwV3e7du3HFKeAcOHhr/VtpShRdeUU5XeGeEX9dZ9hL2ZToYwLSZfXq1ZQ58mI2MJpsyeXVF15OY6rY/H4/L7z4Ioud0c+KHRPJ5dF/P5zmVPE5HA7CUb7NITQOR/yzvelUW1tLT3c3U4dZ0bQqxcKiAt588800J4uuo6ODLHf8mz1ZTged7W2pD5SgRYsWsbMm+tb/jh4frR1dzJhhnrE3+fl5tLbHPlfe2tFJQX70M99CiIlNCk0xYWitfwvcAcwD7gf2A119H/9Gb9F4V9/zoPfc5T+BX8a4bE7fx/ZhPt//eO6ogydIKXWrUmq9Ump9Ms8grlu3jvBRuwqt2Nm5YwfhsHl2+fr9flrbW3Go2G/AnRan4dt+b/jQjRxRrSMeBl9HMzd+6MYUpUrMpg0byQvFfoNebM9i9/69phl2/8orrzDFlUOONfqqybGOEp555mnTnSvt6urCFeVb6FIWUzSFGuj1119nSVFBzBsQizOdrHzFHDcggsEgdmv8yVU2qwW/zzwzbOfPn0/V4QaCoaG/e3fXNDBvzmwsFvO8dSsumURT63D/PPZqbG2n2IQr9EKI1DPPbyshkkBr/SngDOCvwEZ6t9Nu6vvvs7TWnxjw3Hqt9de11i8ZkXWktNZ3aq2Xaq2XFhUVJe26L7/0MiH/4He7FmXFZrOza9eupP09Y9Xa2orL4Yr5RhfAqqy0thm7fe+yyy4juziXGn/icwWP+JuIZCiuu/76FCaL71D1QbIssQtNt8VBOBymu3tox1QjPPXEk8wLDn8Wr8DqJtfqZt26dWlMFd++XbspYmhzncKIhQMmGyHz2osvcFxW7NfFCYW5vPayOQrN8crtdlM2eRJVDUNPdOyra2LBwmMMSDW8wsIiWjuG75IL0NbRRUFh8v7NEkKMH1JoiglHa/261vqjfUXZbK31CX3//dooLtd/qzZnmM/3P942imubwsZNm7D1rRJ2hOveftyibbz1lrFbUAfSWsctMgEUCqMX2mw2G3fecxf7w4fpCsXfQusN+9kVOsRf7r4Ttzv61sR0CQYCWBP4PlstVgKB2Gez0uXVV15hniP2bMHZkSxeMVkRtOHNN5npGlogz3Rksu71VQYkik5rzauvvcYJhbHHBs/NyaK2ro6GhoY0JRue1WqNOqP0aOFIBFucc5zpNmPGDA42DL1ZdrCpnVlz5hmQaHierCy6eoY2tBqoq8dHVnb0s71CiIlNCk0hYusfwDfcGcz+PvPDneE0tfb2drq6OlEM3WLm94bY+JZ5ukjm5ubi8/vibtcM6RC5OcPdF0ifBQsW8N3vf49toUrCeviOixGt2R6q5LOf/wzLli1LY8LoCouL6InELiDDOoI/6CfHBN/nxsZGOjs7KYnRvAig3JLNmyvN0xCovr6e6poaZmcMfQO+MDOPdRs30tMz8nO+qbB//35UKDTs+cx+NouFJSWFvP7662lKNjyLJbFOp1qDxRJ/i206lU6eQkP70FXChg4vpaWlBiQaXiI3/4QQ715SaIoJQyk1LdE/I7hs/xLI+UoNnpvQ1932VKAHMF/nnARUVVWR4cqM+mbBomzs2WOe+tntdlNYUIg/Evs8lS/iZf58c7T///BNH+a4ZcezPzh8V8vqwGGmzangC1/8YhqTDW/x8UtoIfYKRVOok4qyaVgTOAOXanv37mVyRm7cN7yTrB4OVJpnZM+TT/yHpdlF2NXQf4azrHbmZufz3HPPGZBsqFWrVrGkIP73GODYDCevv/JK6kPFobWGRIogBTrGjSAj5OTm0eUd+nuu2x8g22Qrg60tLWR7Yt/kyfFk0NYSq7m7EGKikkJTTCRV9I4uifcn4XebWuv9wAqgAvj0UZ/+PpAJPKC1fvuwmlJqnlLKXPubhtHa2opS0YsFhYXmZnO9OTjjzDPoCsc+DxRyhDj/wvPTlCg2pRS//u1vqA020hP2Dfl8IBKkKnSE3//pD6Zp8HHqqadymI6YzzkYbOH0M89IU6LYGhoayFbxRydkW500tY+8QVOqPPjXv3KGa/hOnGc4cnnwnnvTmGh461av5pjMxMZTLMzPYcNa4zvPhkIh7An8TNksFoIBc81YtVgsRKK8TrXWpvk90e/AgX1MnRT7/GXZpCIOHDDXmWMhRHqY6zeWEGNz/zB/ngQOAgp4FXhghNf9FNAA/E4p9YRS6qdKqZeAL9K7ZfabRz1/Z9+fQZRSpyml7lNK3Qf8ou/h2f2P9T2eVoFAgOHu+SuU6bp0XnX1VQSdw2/rjOgI7f52LrroojSmiq2kpIRrrrmGw8GhQ9gP+xs5++yzTTWu4IQTTsCvwrSEhm/0c9DSzmVXXJ7GVMPr7OzEqeP/U+ZQVsLhiCle01u2bKGloZHFmcOfeTw5q4hNW7ZQW2v8jMdtWzYzJ2f4ZksDzcrOZF/1QYJBY4s3r9eLM4Gzly6bFa8v9gp+unV3d+FyDM3udthNs50aegvfzZu3MH9m7E1CC2aWs3nLFtPc5BFCpI8UmmLC0FrfpLW+Ocqf9wEz6V2BnA98Z4TX3Q8sBe4DlgG39V3vt8DJWuvmBC81C/hw35+r+h4rHvDYh0eSKxkcDgfD/dOv0djtQztiGumMM84gqIPDbp/tCHVw7LHHUlgYuzFMup19ztn02IcWyD32IOecd64BiYZnsVi45pqr2R2M3jG3OdSFzxLi1FNPTXOy6ILBIJYE37/abTb8fuNHWfzzgQc5M6MQS4ytnU6LlVOzinjo3/9OY7KhtNZUHqphmicjoec7rVaKsz0cPHgwxcli6+rqIsMR//dXhsNGt8lGyTTV11OQNXQ7am6mi6amoTesjFJZWUkkHGZaaXHM55UU5pGVmcHOnUPuvwohJjgpNMW7gtY6orX+Pr3ba28fxdcf6itaS7XWDq11udb6C1rrIa0BtdZKaz3kHaTW+r7+zw33Z1T/x41Bdnb2sOeTNBGysxNbxUgXm83GpZdcSmc4+hvDoCPAdddfl+ZU8TmdTnS0kl5pw7vMRnPdjTewN9wQdQVid7Ceaz/wAVOcz4TeLZLWBH90rMpi+GxYrTX//c9/ONUT/2bIcnc+Tzz0cBpSDa+rqwutNZ4RdGYtdLs5cuRIClPF193dTWYCmTMcdrq6Ym/HT7eamkNMyht6FrMk203NIWML+IFefvlllh+3IKGzu8uXzOdlk3V9FkKknhSa4t1mNWCOA3wmUFBQQCgcfYub1hEKkzivM1kuuuQiIs6hxbHWmg5/B+ecc44BqWLbtm0bztDQN732gIXNmzYbkCi2Y445hrz8fOqCbYMe11qzP9zE+z9wrTHBovB6vVgTrB2dNuO3Hu7duxdLOMJUZ+wGKgDzM3KorqkxdBWro6ODLFfs+ZlH89htdBq8StjT04PbHv9miNtupSfOeI50q6o+yNSi3CGPTyvKY/9e8zRoe/mlFzntuAUJPffU4xbw8osvpDiREMJspNAU7zb59DbwEfQWmv7A0CY10LuiOXmyuVrpA8ydOxdfaOgbw7AOoyyKSZMmGZBqeFpr/vHA3ylUQ1coiu35PPLww4avskVz2fveS3VocDOolnA3DrfTNF19AeoP1+EhsdW2LLuLxsbGFCeKbdOmTczOSGwsjFVZmJ2Tz5YtW1KcaniBQAC7dWRvFexKGb5F2e/3Y7PEX2lzWK34g+aYBwu9I6e8Ph/FOZ4hn6sozmP/fnM01YlEIrzxxpssO3bw74K5F9006GO/kxbPY/2Gt0xxRloIkT5SaIp3DaXUucC1wDajs5hFZmZvzR1ti6SyYLqiDcDlchGODC3Mes+UOgxIFNtLL71Ee0s7BfbcIZ/LsXmwBS08/vjj6Q8WxynLl9NiH3wToi7YxrJly0w1O2/vzl0UWBPbflxozeDAAWNHnBw8eJCicOLfvxKLg5qamhQmmpgikQgJ1Jm9zdBM1KRm3759VJQWR/0ZqyjJp7L6YELzQVOtsrKSzAwXxfm5CT0/N8tDcWGeqUZmCSFSTwpNMWEopV4a5s9rSqlK4DnACfzA4KimoZQiw52BZugbF7vDRm5ubvpDxVFdXY3bMbSwsCkb3T1dhm+NHCgSifDdb32HcqK/cQQop4QffO8HhnfpPFpFRQUdwcErx51hH7PnzTUo0VBaazZv20aZLbHZgpMCDtavXZfiVLG1t7SSOcxIoWjcEUV7e3sKE8VmsVii3og6/b+vDPo4kMb4MRx2u51QJH4BGdLaNOeNAfbs2UNFSfRuxJkuJzmeTA4dOpTmVEPt3buX2eVlI/qa2eVTpNAU4l1GCk0xkZw1zJ9TgSx6C83ztNZPGZDNtBwOB0RpVKMsCtcIz2alw4oVK7AFh26VVEqRm5HHa6+9ZkCq6J566ila61sodQzf+KXQkYvFq/n7gw+mMVl8vW/UB68cawUOp3lWjbdt24ZTW8hPcEVztj2fF59dkeJU8amjhgq9b8dLgz4Ofq42dCxEJBIZRdGoDB9l4XQ6CYTjr/wFQmGczsRmhKbDrp07mFk0/NbqmZOL2L17dxoTRVdbW8vkouHH80RTWphninE9Qoj0kUJTTBhaa8swf6xa60Kt9cVa66Hv5MSwjH6zeDS/38+DDzyIh6HnlwAcfgd//tOf05wqOq01P/3RTyhXg1czn2paOegjQLkq4ef/93NTnV86cuQImfbBNxrc2Kk9aPxqSr//PP4Ex1jyE35+uS2H5qYmQ8+5ZWRmEtCJn8kNKAy94RMIBHCM8IymQ2H4GU2Xy4U/gULTHwqbqvPz1s2bmDNl+CZss0vy2LZtaxoTRdfY2Eh+dvTfw8MpzM2iqcnYM9JCiPSSQlOId7kerxcYuq0zEooY3jnyaA8++CC2sA3XMCtYufZcNm/azMaNG9OcbKgNGzbQ0thCsT1+IZRvz8YSVLz0knnug7yx5g0K9eDZiSX2HFa/vsqgRINprXnk3w+xxJp4Z2SLUhzrKOHhfz+UwmSxZWZ58KrEb+D4FGRlGTdmqLW1Fc8I5+l6LIrW1iGTn9LK6XQSTLDQdDrMsUofiUTYtGUrCyuGb8K2sLyEdW+sSWOq6FpbmskbYaGZm+Wh2URzQIUQqSeFppiwlFJZSqmpSkVp9ymA3llzAb8fFeVXQTAQpqqqKv2hhtHd3c3tP72d7PDw28osykKOzuUbX/9GGpNF9/hjj1OksxNunFMQ8vDYI4+mOFVitNb884G/M91SMOjxSfZsGhsaTTF4fcOGDeANRj2f+YWG5wZ9HOg4SyEP//Nfhq3WezwefCPopeTTETyekb2hT6aamhqKR7hdushmoeZgdYoSJUYpZaYePwnZvHkzxbnZFGQN3xj9hFlTeXPdesPPdDfU15OfM7IbIPm52TQ2NKQokRDCjKTQFBOKUsqmlPqaUmof0AZUAa1KqX19jyc+dfxdYPv27WRmeKIWQxZlY8P6DQakiu6OO+7AEXbgjnMeL8+Wx55de3j11VfTlCy6la++Rn6CTWoACuy5rFlt/EoFwAsvvEBXSztl9sFnsCzKwgJbKb/42c8NSvaOJx55lEU6b8QdcKfZcvB39bBjx44UJYvN7XYTGMGKZoCIoVtnd27fzjTnyJrlVGRlstPAkSwAPp8Pp23wW5ylv3xo0EcAl82K12uOOZrP/O9/nLGgIuZzCrMzqSgpZNUqY3cWVFdXUzZpZHOWyyYVUV1t7A0IIUR6SaEpJgyllANYAfwYqAAOAWv7Plb0Pf5C3/MEsHLlSkLDHKWy4WDHzh34fNHnbKaT1+vlT3/4E9mR+PMHlVJkh7P5yY9/koZkw6s+WE2WNfGRrR6rm4amRgIBY2f6BQIBvvW1b7DUMjVqEXess4xXX36Zt956y4B071jx7HMssA/fZGk4SinmWfJ54fnnU5AqPpvNFqXH8/DCWmOzGXd/bP2aNcwb4RbJeblZbNq61dAxHEeOHCHfFX/Lb0Gmi/pG47dzhsNhHnn4IS48fs7bjy361M8Gfex34ZKZ/Puf/0hrvoF8Ph/79h9gVvmUEX3djCmTqKk9TFdXV4qSCSHMRgpNMZF8id4us/8D5mutK7TWp2itK4C5wH+B0/ueJ4BHH30MHYr+a0ApC25npuErg9DbvdVpceGyJrayk2PLZfeu3ezduzfFyaLr6uoiGAphH8ECukVZyHC5qa+vT2Gy+H77699gbQ8ywxl9tcJhsXGybTqf+cSnDCuKOzs7OdxQzxTb6M4uluPhzdeNWT0Oh8NYo5yJHo5FKcMKNr/fz6bt21iUH/8Gz0CFLidZDodhq8YA27duYXpO/CY/pTmZtLS2GX4e/cUXXyTbZWP+1JK4z71s2TE899xzNDc3pyHZUG+88QZzZ0wj0z2ylXaHw86ieTN5/fXXU5RMCGE2UmiKieR6YBtwhdZ6UIWhtd4PXAlsB24wIJvpVFdXc+jQIawMv8Dr7wrzj3/8M42ponv04UdxBIbm3Na5ddDHfkopPMrD//73v7TkO1p9fT0eV+aIt3Vm2N00GHiGacuWLdzxxz9zun3m29l/W79i0EeAua5JWFr83P6TnxqS8+DBgxRn5GBVo/snrMiayUGDtvD5fD5G0lrHgcWwrZ1r165lRl4uHvvIV1SX5mfzyisvpyBVYla+8gpLpsRf8bZZLBwztYTVq1enIdXw/vz733H9aYsT+p2R58ngvOPm8td770lDsqEefeRhzj/luFF97QWnHMdjjzyc5ERCCLOSQlNMJLOAZ7TWUW//9z3+DDAzralM6tFHH8WGM+YbG5ty8dKLLxp+hmnT5k1kWDPiP3EAe8TBmlXGrFodPnyYTPvIRya4lMOwOXM9PT3c8uGPcIp9OllxVo6VUpxun8n9f72PNWvS/z3u6OggwzKyTqgDuS02Ogxawers7MQ1ggVKl1KGbTV8+cUXWZo9sp+7fktzPbzynDEzS3ft2kV7WysLJiU2+ubMqQU8/ohxnYg3b97Mvn17uWjp/IS/5kNnH889d92V9t/Nra2tPP30M1xx7qmj+vrLzj6FF196ydAbakKI9JFCU0wkARhmwOI7MgFj2/WZxCOPPEokEPtXgEVZcTrcrFy5MubzUklrTWtbK3Y1ssLCruzU1dWlKFVsu3fvxhkZeSFkD1rYtWtXChLF991vfZvMTs089/CjFQbKtDo5wzGbj9/ysbRvO7TZbIQZfUvRiNbYrCNrcJMsLU3NeEbwT68nYjFsVMiqV17muPzRNe0+riCX9Zs2GTIb9r577+HS+VOxJLij4MJ501ix4nnDtqL+4be/4cYzj8VuS/w1ObO0kEUVpfzrX/9KYbKh/nrvvZxzynEU5I7udZGTlcnFZ5zEPXffneRkQggzkkJTTCRbgKuVUlEPlymlCoGrgc1pTWVCXV1dVFVVxtw228/fHebll19JfahhRCIRdERjGeE2SYuyGDY0/vVXV5IZdo7463JUJitfeS0FiWJbuXIl/3n0CU5zjGyxf4aziOKAm6//v6+lKFl0+fn5dIVG36SqWwfIzRnZucNkOVJTQ4418X5k2SjqDFjlDoVC7Ni7l/mjLCiyHHaKPRns3r07yclia21t5ZGHH+aaxTMS/prcDCfnzJnKPXfdlcJk0dXV1fHyK69w5fJjR/y1N55xLHfd8ae0jerx+/3cc/fdfOR954/pOjddcT733fdXenp6kpRMCGFWUmiKieQPQBGwVil1i1JqhlLKrZSarpS6GXiz7/N/MDSlCezfv5+MBM8QKqxs3mRcbW61WlEWRST6juhhRXQElzP9YyGCwSCvvvYqRUeNBklEgT2XTZs3p3WrpNfr5bOf/DSnOWbiGsV21FMcM1jx9LNpHbdQUlJCq7dr1G+w28J+SqdMTnKqxBysqqbInvjrssju4tCByhQmiq66uppCjwf3CFbZjlaRlcmePXuSmCq+u/7yF86cOZkiz8i2rt943AzuvfuutG9T/tc//8n5x88lyz3yG1MnzplG2O9j3bp1KUg21JNPPsnsiinMqSgb03Wml01iybyZPPqoOeYGCyFSRwpNMWForR8CbgfKgTuBvUAXsA+4G5gO/Lzvee9q7e3tKJXYG0iFhfb29hQnii3DnUFEh0f0NRHCZI1woHgyvPTSS2Q5PLitI3/jaLfYKM7I57///W8KkkX3lzvuwOOzDttlNh6nxcYp9gq+8sUvp607qsfjwW6306NHtwu+PeJjyrRpSU6VmP1VlUxxJn7ucYojI+3FGvSOBynKGNuNmgKbNa1n8Xp6erj37rv40PEjP4ZfkZ/NkimF/OPvf09BsuE98tC/ee/SeaP6WqUUl54wh0ce+neSU0X373/+g6vPXZ6Ua1113qmGjmgRQqSHFJpiQtFafwNYDtwLbAQO9H28FzhVa53ePX4m5Xa7IeFpfrrv+cZxu92ERzR9EMI6QpYn/YXm3X+5i6LQ6LYbAhSFc7j7L+nZwtfZ2cnvf/s7ltnKx3SdWc4S/C2d/Oc//0lSsvjysnLojoyu0OzRQYomFSc5UXy1tbVEQiEKbInfhJjqzKT6cC3d3d0pTDaU1+vFaRnbOVYnOq3bIx9++CEWluZTMcpzpTceO52//OmPabthUl1dTUtLM4unj2we5UDnHDub5559NuXbZ30+H+vWb+CMpYuTcr3Tjl/I1m3bZaamEBOcFJpiwlBKfUgpdYHW+g2t9ce01ku11rP7Pn5Ma21MC1ITqqiowOvrSejNSUSHmDt3TtznpZIawdzBgSyW9P6Kq62tZe26dUwe5eogQImjgKrKqrTMIHzg/vuZas8nz5Y5pusopThWlfLr//tFkpLFZ7FaiIyyIVBE9TYUSreVK1dyTFbBiMbeOCxW5uQWpr27r91uJzzC7epHi5De7/MD997LVQumjvrrF5bmk2HRaZvz+Prrr3PSnHIsltH9fgOYPqmAcChIVVVV8oJFUVVVxaTiAjyZsW86Op1OLBYLTmfsmykup4PyslL279+fzJhCCJORQlNMJPcCFxodYjwoKioiKzubCPE7QjoyrJx62uha2SdLV3cXVka2umJVVlpaWlKUKLq//vWvTHYUYktwW3I0FqUotRRw952p7cqotea+u+9lvoo/ID4R0x1FHKk7wtatW+M/OQnaOtrJHOWIkwxto6m+PsmJ4nvq0cc4zjryov44SyZP/+fJFCQaXm5uLh2BsTXo7tS910mHAwcOUFtbw0nlo389K6W4cGYJj/47PZ1cN6x7k8XTxrayrpTi2BlT2LhxY5JSRdfR0UF2ZvzXbjAY5LHHHiMYjP/ayfZkGn4sQwiRWlJoionkCPKaTth5551HmEDM52it8Ye8nH322WlKNVR9fT2RcATrCIs3h8XBgcoDaevIGA6HefD+B5lsiT8kPp4yezGPP/5YSmfk7dy5k/bWdibbc5NyPaUUs61FPP7oY0m5XiyHDx9GhzUelXj31oEm2Txs3rApuaHiaGtr4/U31nBS1shfH8uzinjqqacIBGL/vCZTSUkJjd1j2/baHAxTUpKcGxnxPPvss5w+oxTbGHcxnDVrCs+tWJGW7bPbtm5l3tSxb+GeMymPrVtS27AtJyeH9q7427ftdjtXXnkldnv8m0DtnV3kGNT9WQiRHvKmXEwkzwJnKzXCORjvUu9972U4M2MXb2ECTJk8mdLSxGYrpsKqVavIceeMaLshgEM58Pv8HDhwIEXJBluzZg3WsCJ7jNtQAdxWJ7mObJ5//vkkJItuxXMrqLDlj/j7GkuFtYCn//u/pF1vOCtWrGCOq3DU2afbc9m2czttbW3JDRbDE088wZLsIjzWka/CljjcTHV5Uvp6OFpxcTGdPj/+8MiacA1U3+NlypTRnz8cieeffopTp41+y3q/slwPOS4HW7ZsSUKq2PZXVjG9pGDM15leks/e3amdvzt9+nSONDTR1RP75pff7ycSicQdLeUPBKiuqWP27NnJjCmEMBl5Qy4mkm8CWcA9fTMzRQynnnoqXn83OsY5LG0Nc9lll6Ux1VAPPvAgNv/I35wrpfBYPDzyyCMpSDXUIw8/Qn44ec2H8kKZPPyv1DVIfvG555lMclcTSuzZ1NXX0dTUlNTrDqS15q9/uZvj9OjfoLstdua5i/n3v9LTrRPgX3+7nzOdIx950+90ew7/+tv9SUwUm8VioTgvjybf6FdRGzq7mDw59WNkurq62Lh5K0uTsDoIcMrUQl54fkVSrjWczs5OQsEgeSMcwxLNlIIcag4dSkKq4TkcDk5cejyr3tqWlOut2bSDRQuPISMj8Q7MQojxRwpNMZH8E2gHPgQcUkrtVEq9rJR66ag/Lxqc0xTcbjczZswkzPBnaZxuK6csPyWNqQarqalh/fr1ZNtG10XSo7P4671/JRSKfxZ1LLTWrHj2OUpGMTtzOCWOAl57fWVKsofDYbZs38pkR25Sr2tRFqZkFrJhw4akXnegV155hfb6JuY7xnYv6QxVyu9//Zu4Ky/JUFdXx959+1jiyR/1NU7JLmLl6tVp7dJZWJBPq390haY/HMYfDKXljObKlSs5pqwYj3N0Z3aPtry8mOf+91RSrjWchoYGCvNGvlMjmoLsTJrScB798vddxf9Wrk/Ktf63cj2Xv+/KpFxLCGFeUmiKieQsYDGgACcwFziz7/Gj/whg1syZb8+n7AjXDfoIEAoHmT59uiHZAO748x3kWHNGfD6zn9vqhhD873+p3c558OBBfF4fHmvy7s67LA4y7W62bUvOCsJAVVVVuG1O3JbRnXGMJS/oZONbqWlMEolE+O7Xv8l5qgzLGN+gl9tzmRR2cc9dqR8l8/LLL7Mkpwj7GHb1Z1rtzMrOZ/Xq1UlMFpvH48E7zNbZeN1FfeEIGS5XUrdmD+ep/zzOGVNHX8Qf7fiyQiqrqqmrq4v/5FHq6urC4x75rN1oPC4nnQmcnxyrK664gjUbt9PS1jGm63R0dfPKG5u46qqrkpRMCGFWUmiKCUNrbUnwz9iGw00g8Ro2aK0NGQMB0N3dzYMPPkj2GLd3ZgQy+fUvf52kVNFt2bKFfFdiqxOJtv8HyLZkpuSs2O7duyl0jH7WZyx5KoPtm1Nzvu2hhx4i2NjBsc7YDWYS/R5fZC3n17/8Na2trcmMOcSGN95kNsNnSTTvbOXkrfWpWy0+mtZ62NFC8bqLpr687BUIBFix4nnOnl2WtGvarVZOmzmZ//43dZ1+I5FI3LFNib4uLBZFJJL6pmfZ2dlccP75PPny2EbtPPXKm5x51pkUFIz9fKoQwtyk0BTvekqpaUqpM4zOYYTKqipi9U6yWe0cSvHZn+E88cQTZFozcYxx1S3blk11dTXbt29PUrKhqqqqsAcTu38xkvb/toDiwP7kNzOqqakhM5zYDYSRFMYA2VYXhw7VjCVeVH6/nx9/7wdcYi2PW9An+j2eZPOwyFrAr36e2vmf+3bvZopz+NXuRPNOsbnYt3NnsuMNq6Ojg0x79Nd1vO6ibpuVHp+P8BiaCSXilVdeYXphLiVZyT3rd+6MSTzxcOrOSGdmZtITZ9t2oq+LHl8AT8bYz3om4gPX38B/X103pms89do6PnDd9UlKJIQwMyk0hYCbgZeNDpFuPT097NyxAxvDF3JBX4SXXzLmW/Pg/Q/iDLrGfB2lFB48PPzww0lIFV1nZyeWBKchjKT9v03ZaEvBaltXVxe2cGJrTiMpjAGcFjvd3cnfxvePf/yDopCD6Qmcgx3J9/gc2zT+/uCDNDc3JyNmVM3NLeTahv85SzRvrs1BY0NDsuNFpbXm0OE6Jrmj/wzG6y5qt1jIy8ygtrY2lTF58rFHeU9FYud1R3LT5OSKEnbv2cuRI0fGGjGq0tJS6pvbYo5fSvR1Ud/WyaSS5DRCiufUU0+ltr6RI42jOxPa0tbB3qpDnHXWWckNJoQwJSk0hXiXeuihh3DaM2KuaKqwnb/df39aGqYM5PV62bJ1Cx6bJ+bzEn3j6NYZPPfMc8mMOEhGRgY6wb2Cibb/BwjrMB5P7O/BaNhsNiIqsa12IynaAMI6gtWa/N3pd//xDk5XiY3ZGcn3ONfq4hhHMf/8+z/GGnFYPT4vLsvw35NE8zot1pTOVh3o0KFDOCwW8pyj31EwOy+HrVu3JjHVYJFIhBdeeIGzZiU2QmUkN03sVivLZ05hxYrUdJ/NysrC4/FwuGX4846Jvi721TUxe86cZEeMymq1cury5by5dXTjVNZu3c1JJ56Iw5H88+FCCPORQlOId6GOjg5+9KMfE/LG/hVgVXbCAc0f/vDHNCXrtXPnTrLcWXGbACX6xtFtdVNVXZWygffTpk0j5Ej+GamQPcL0mTOSft3JkyfjtSe2pXEkRRtAZ9hHaemkscQbora2liP19cyyJ6/hy0CLyeeZJ/+bkmsDBIJBbEkY72tXFvyj7AI7UqtWrWJxYe6YrrEww8Hrr7ySlDzR7Nq1i0ynndLsxGbXjvSmydLSXFa+/NJYIsZ03JJj2VI59hXfzdX1HH/isiQkSszCxceyr/rwqL5238FaFi5anOREQgizkkJTiHcZrTWf/vSnCfvBpuLfVdY+O7/9zW/YtGlT6sP1OXDgAHYV/81gom8cLcpCpjszZedNFy9eTEugPeY2uNHoxMvixcl/U3b88cdT42tJel6AOt3BKaefltRr7tixg2kZeWPuNDucMls2e/btS8m1AXx+H84kFJpOixWfz5eERPE999R/OTF7bOcelxXlseK5Z1PyOgPYtm0bC0oSv/kw0psmC0ry2ZbCFdnTz3oPb+4de6G5bm8Np52W3J+5WEpKSmhq7xzV1za1dTKpNLGdCUKI8U8KTSHeRbTWfPe732Xla6tQgcTOP1qUDQIurrnm/ezfvz/FCXvV19ejg/HfnI7kjaPT5kzZeauZM2disVnpjiSvCAhEgnT4uliyZEnSrtlv+vTpFBcXczCQ3Nl7YR1hX6iRy6+4PKnXDQQC2FL4z5VNWQiEEjuDOlLBYJBun49M69i7N2dZ7bR2tCchVWw+n4/XXn+d5SVj6wo6K9tD0OtlZ4oaGNXV1VHsTl1X7NLsDI40Nqbs+meffTard1WNqRCvaWqj2xdgwYIFSUwWm8vlwh8Y3XzfQDAs22aFeBeRQlOId4lQKMSXb/sy9//tQZTPPaL5dnblwt+pufCCC9m8eXMKU/ZqbGhEj+59zLAsWGhJ0VBzpRRnnXkmTYHkNe5pCrax9IQTEt7mNxJKKT71uU+zRR9O6mrTTu9h5s2by9y5c5N2TejdmtwYSt2cwKZwD5NLkrvdt9+hQ4cozPBgTcKKZrbVjtfvp6NjbHMM43n11VeZk587pvOZ0Ps6O6Moj6eeTM2YkGAwiM2SukEqNquFYCjJv4gGmD17Nharncr60f9eWr2zijPPPBOLJX1v57xeLy7H6H4vOR22tJ/5F0IYRwpNId4Fjhw5wmWXvZfHHv0PFl8GljhnH6Ox48bfCZdd9l4eeOCBlG2HA2hoaMA2iowxRRRtbW3JveYAZ5/7HrrtyTs/16F6OOf8c5N2vaN94LrrCHlsVAaSs2Ljj4TYEK7h+z/5UVKuN9CCBQvwEkpZsbk91Mw556Xme71582amZyRnZqlFKWbm5Kf8Zs+zTz3FyWPcNttveWEOK/73VFKudbTCwkJa/Kkbn9LU5aUgNzdl11dKcdrpp7F2d/Wor7H+QB1nnP2eJKaKr62tjZys0Y1TyfG4U3bDTwhhPlJoCjHBPfnkk5y6/FR2bN7bt5I5+h97u3Jj8Wfw7W99l+uvu57GFG0ra25qjtsIaKQiwUhK3+AsXryYLt2TtOt5rcGUnM/sZ7PZ+NVvf82qYCWByNhXbdYGqjj/wvM54YQTkpBuMKvVyrUf+ACrwnVJv3ZQh1kbquP6D30w6dcGeOX5F5jP2Mf09JtvzeCVl1LXoAbg9dde48Si+GNkErEoP4c9lZV0do7uTF8sS5YsYUtd6n6mt9Q1s+TYY1N2fYATl53CtpqmUX/91qo6TjzxxCQmiq+xoYH87KxRfW1+TjbNTanbjiyEMBcpNIWYoOrr67nuuuv53Gc/T6jbji0ysu2yw7EqOxZfJmtWrmfZsmU89NBDSV/dbGpqwqqSe/ZKhVXKCmOAsrIyOrxdSbteT7CHsrKypF0vmjPPPJMzzzmLtYGqMV2nLtBGlW7hhz/9cXKCRfGpz36GDYEjtIWT2wxntb+G45eekJIzbpFIhBUrVrA0a2xnHQc6wZ3HM0+mZoUQemes1jc1UZGVWCfXeOwWC7ML8lMy5mTx4sX4Uewcw9bTWJ7dd4TLrrwqJdfuN3v2bA42je7cbSAYoqGllenTpyc5VWxtba3keEa34p2TlZmS2cBCCHOSQlMIUH1/JgStNX//+99Ztuxk1ry2DovPk1B32ZFQSmENu4l0O/jqV77G5ZdfweHDo2t3H01be1vSVzStykpjfeoKTbfbTTCJDWWC4TBu9+i2p43E7T//Pw5EmmkIju7cX0RHWBnaz0/+73by81MzfgRg0qRJ3HTzTTwXGv02w6P1RIK8FDzE91Kw3Rdg3bp1ZFtslDqSsw0VYI47m5bmppQ15qqpqWFSdhbWJHb4neR2UFNTk7Tr9bNYLHzs45/knvXJ/15sq2umqq2HSy+9NOnXHqikpITmjtHdoGrt9pKbk5OSubWxBPx+HKM9o2m3yxlNId5FpNAUAn4NpPeWcIq0tbVxzTXv51vf+DZ4XVjDyVnFHI5VOVC+TDav38Hy5afyxBNPJOW6Xq8XSxKapwxkUZaUbN/r5/f7sSWhs2g/m9WasrmfA+Xn5/PN736bN8KjK+B2eA9TNquCK6+8MsnJhvrCbV9iV6SVw6Hk/P/xpcBBLrrkEubNm5eU6x3tuaef4QRHcs5n9rMoxVJPISueey6p1+3X09NDhj25uwncyoLX603qNfvd8tGPcqDDx+sHknejKxSO8LPXtvH1b38Hlyt5256jsdlshMORUX1tOBzBluYiE8DlduMb5TxXnz+QlhtoQghzkEJTTBhKqWkJ/ClTSg1656e1btdaJ2+ZxCAHDx7ktNNOZ/0bm1C+TKwJzKFMBqUUtogbvC4+/7kv8KMfjX11SEc0KsmLzApS2sCos7MTl92ZtOs5rPaUFsYD3XDDDQRccDjQNqKvi2jNJn2Y7/7w+ym9odEvOzubL9z2RVaED475Wh1hP28GDvON73wrCcmiW/nSSyx25ST9ugttmax8MTXnNO12O4FwchvsBLTGZkvNGBKXy8Vv//gnfvrKVlp6krOt+u61uympmMUHPvCBpFwvlvb2djwZoytmM91OOruSt10/UVOnlVNb3zyqr62pb2TqtPIkJxJCmJUUmmIiqQIq4/ypBlqVUrVKqd8rpQoNyppU3d3dXHLJpXQ2+bCGRreK6XQ6sVgsOJ2jK5asyo7Fn8ndd97DXXfdPapr9HO73YR1ct/shnUET5YnqdccqKurC4ctecW93WJLW6Fps9m4+aO3sFePbGvx4WAr+YUFLFu2LEXJhrr5Ix/hkO6iLjS2N9grgzVcdc3VlKZwePzeqkoqXMl/zVW4POzavTvp14XerZwNXd1JvSnTFAgyaVJqxscAnHbaabz/+hv43gubiIwx99rqep7cXcsf7vhLWm6e1NTUUJo3ulXvbLeTSCSS0m7a0SxatIjNe6tG9bWb91SzKIVNzoQQ5iKFpphI7gdeo3fxqh14FXio72N73+OvAk8DQeDTwDqlVJEhaZPo/vvvp7vdi43Rb0kKBoM89thjBIOjP2doUVbwu/jJT348pm2fkydPJqiTd94RIESIiukVSb3moOuHQmPq6Hs0hSKc5JWlWC686EJqw20j+pqaUCsXvze1Z9iO5na7ueXWj7IqPPxWyd8UXzDo49ECOsybgcN8+nOfTUlGgHA4TLfPR6Yl+St5HqudjhStZBUVFaGsVpp8ydm2rbVmf2t70merHu3r3/wWQU8+f1u/Z9TXaO728d0XNvLHO/5CSUlJEtMNb9eunUwvGl2hqZRixpQSdqfopsNwli9fzo69lbR1Dn0N7n7mvkEfB+rq9rJxxx5OO+20FCcUQpiFFJpiIvkpcCxwOzBVa/0erfV1Wuv3AFOB/+v7/G3ADOD7QDnwdYPyJs2uXbsI+EZ3zqef3W7nyiuvxG4f26qcBRuhYIjWMXQWPO744/BHktswQrkUixYtSuo1B/J4PARCyTtTGdQhPJ7UrcAebebMmbT2dBDWib+OuuwhFhyT/G6t8XzoppvY5D+CNzK6mxEbfUc4/vgTqKioSG6wAaxWK26Hk55I8m8WdIdDZGUkr8HQQEopli5ZwpaW0XVCPVpNtxe708mUKVOScr3h2O127vrrffxzcyW76qP/7ll/2/sHfRxIa81PXt7CdTd+kLPOOiuVUQfZsvEt5k4Z/b3OeZMLU9LRNxaPx8PZZ5/N/159c0Rf9+zr6zjl5JPJy0vO6BwhhPlJoSkmktuBzVrrb2itB01211p3a62/BmwBbtdaR7TW3wc2AZelP2pyLV++HEeGGtN2N7/fTyQSGXNHwDBBPFlZFBWN/s3T8lOXo11jK5wH0lrT4WvnpJNOSto1j1ZaWkq3vyfult9LC08f9DEarTVtPR2Ul6fvLJPNZsNpdxIcwZbloIqktRjuV1JSwumnns4G3+jmaq61NPLRT308yamGmj9rFnu9o+vmG8s+XwcLFhyT9Ov2e8+FF7GuLfaK6crLzhr0cThvNrRw5plnpmUb6pQpU/jeD3/Iz17bNuLfha/uO0xdUPHVr38jRemi27p1G/Onjn71dN6UQja/tSGJiRJz080f4V9Pv5bw91lrzT+feY2bPnJLipMJIcxECk0xkZwBrI7znNXAmQP++w0gtcMK0+B973sfU8pKCVtS09kxUREdBqePn/3sdiyW0f96Wb58Oe3ediIjWF2LxRfxkl+Qn9JzYna7ndkzZtEaHPu5ys5wNwV5+eTm5o492AgEQ0GsI9j+a8Uypq3WY/GxT3+CN1TDiAuKg8F2um0RzjnnnBQle8clV76PVb74Mx4fX/CeQR/jWRNo59Kr3jembLFcfMklrKpvIjDKbqgDvdraxXtTPItyoGuv/QBhZyarq44k/DVaa+5cv5fv/vBHOBzJHQUVi9frpb6xiWlFo1/hm1VayO7du5KYKjGnnXYaymZnzaYdCT1/w/a9dPkCafm5E0KYhxSaYiJxAvEqidK+5/XrAkIpS5QmDoeDhx5+iJyiDEIWb0q7qw4nokNoVw+f/exneO973zuma+Xk5DBz5kx6wt3xn5yA7kg3559/flKuFctFl1xMM2NfwWoItXFeGvIO1N3djQZsI/hnwRGx0NISv5BKhdNOOw13fg47A00j+rrXIoe59ZOfSFkX1IGuv+EG1nY20RxM3jbwal8Xe/2dXH755Um75tGmTJnC/HnzeL1+ZN/box3q6uFgVw9nn312kpLFZ7FYuOljt/L03sRXu/c1tdMTUZx77rkpTDZUXV0dRXk52Kyjfys2OT+burrEi+pkUUrx8U9+igeeSqz78YNPvcStH//EmG5ACiHGH/mJFxPJZuBapdTCaJ9USi0G3k/vdtl+FcDIWm2aVGlpKStWrKB0WiHakd5iM6wDhJ3dfO3rX+XLX/lyUq554YUX4iX2uIKFWYsGfRw2nzPCueel/k3kNe+/hiPB5jGtxGqtaVBtXHvdtUlMFl99fT25bs+Itjg6g4ojR9L/Jhd63+h+5Ztf40Vdk/Br/Uioi33hNm6+5SMpTtersLCQD918E/9oP5SU62mteaD9EJ//0pfISNEZzX4f+cQneaJudCMs+j1e08ANH7wxrauEAGeccQbbRpB9a10zp556atqLoO7ubjJdY/veZLgcdPf0JCnRyFx11VW8tX0vdY2xv9dNre2semt7WsbFCCHMRQpNMZH8AHDT20n2LqXUTUqpi/o+3g28CbiAHwIopdzA+cAqwxIn2aRJk3jhhedZsnQR2tWDTtLW01iC2od2ernjjj/ziU98ImnXPePMMwg7xr7YHNER2nvaOOWUU5KQKrZZs2Yxa/YsjgRG/wa9KdhGTl4OS5cuTWKy+BobG8m0DZ3n9/mS8wd9HMitHBw+VJvybMO5/PLLsRVks8Vfn9DznwlX8/kvfjGt50pv+8pX2BHqZlv36Jtj9VvT2Uh7poOPfuxjSUgW2yWXXEJjWLN1lE2BWv0Bnqtt4KO3pv4s7NFKS0tpak+8K29Tl48pBsx2zMjIoHuM3X17fAHc7tF3Gx+LjIwMLr30Up56JXZToKdfW8v5559HVlZWmpIJIcxCCk0xYWitnwNuAHzALcA9wFN9Hz/S9/iH+p4H4ACuBb6d/rSp4/F4eOSRR3jv5ZcScfX0nptMkRBeHJ4I/3nyP1x88cVJvfaSJUto7xn7OU1fxMfkyZPT9ibnc1/8PIfV6AvNw6qFz3z+s2lpnjJQR0cHjhGO4nAqG+1pnuE3kMVi4cc/v52nw9WE4rxO9gaaaXIE+eitH01Tul4ej4ef/fpX/KW1Ev8YOtB2hYPc21rFb/70x7SsENrtdr74lf/HX6vqRrU74p9VdVxxxRVMnjw5BekmhqlTp9LY2o4vEP2c89Y/fXXQx2gqG1qYUZH+IrnfJZdexqsbtsV8zivrt3HZe1O31VsIYV5SaIoJRWv9L3pHmXwQ+DVwL/Ab4EPANK31PwY8t11r/ZzWusqAqClltVr5zW9/wy0fvRntTE2xGVI+3Lk2Vjy/giVLliT9+pmZmUwrm4YvMrYGR95wD8uWLUtSqvguuugilNtGS3DkK0EdoW46dTfXXHNNCpLFFg6HsTCy4lahCAWNPeJ85plnsmDJIlb5h9+eGtGa/0Wq+e6Pf4jLNXTVNtUuvvhilpxyMg+3jX4L7d9aq7nsyvel9bV83fXX06SsrG0c2TncIz0+nq5t4CtfN2ZyVFtbG9mZia/yZbvstDaP7TzqaDgcDhYumMdb+2pGfY21ew5x4snLk5hqZJYvX87W3fsJDPN7IByOsHH7Hk499dQ0JxNCmIEUmmLC0Vp3aa3/rrX+stb6Y1rr27TWD2qtx94OdBxRSvHtb3+bm2+5CVzepG6jDUa8OLMUzz77DDNmzEjadY+2/NTl9ITHdv4o4tScelr63uRYrVa+9OUvcWgUR38P6QY++alPGbIVzu12j2i0CUCIMBmZqT0rmIjv//THvBysITBM/q3+BjJL8rniiivSG2yAn/3ql7zU3Uilb+S/hrZ2t7I94uW7P/hBCpINz2638/2f/JQ/7qshFEn898cd+2u49eMfT2mX51gaGxvJ9yT+uszPcNFg0Fnjy664kmc27h3V10Yimuc27eWyMTZfG4uMjAzKJk+msiZ686VDRxrIz8slJycnzcmEEGYghaaYMJRSn1JK5Rqdw2y+853vcMFFF6CdvqQ0CArpAMod5PHHH0vpwHuAM886k4hr9Jm11nQGOtJ+N/26667Daw2OaNRJV6iHplA7H7s19efvoiksLKQnPLLuqD3hAKVTjN8aOX/+fE5cdhJrvdHPi65UdXzlm19P+3bkgYqLi/nWd7/L3W3VI/o5DOoId7dVcfsvf2HIzNILL7yQqbPn8kR1Yl1cNza1sbPbz2c+//kUJxteR0cHWc7EtxdnuRx0dIzuLOpYXXvttby0eQ8tnSO/ofb69gPk5hekZEfJSJSVlXFkmFXvusYWpk4d9xPEhBCjJIWmmEj+ANQppR5SSl2i1AgGAk5gSil+97vfMmvOdCK22F1c44noMNrp5c47/8Ixx6RuYHy/M888k3Zv26jPaXojXvLy85g2bVqSk8XmdDr5f1/9CtUkvkpSpev51Kc/aVjDjGnTptHS0zGiIqjHEaZixvQUpkrcRz7+MTbZhjbcaQx106r9XHjhhQakGuzGD34QVZDL6x0NCX/Ns22HmT5/PhdddFEKkw1PKcVPfvEL7q88TJs/duOasNb8Yd8hvvfjH6e8K24sSilGek/BYtBNiMLCQq644goefGXDiL5Oa809L23gM5//oqE3UAByc3Pp6I5eKHd295CT5nnAQgjzkDfiYiL5OlAJXA08CdQqpX7RN9bkXc3hcPCPf/4Dl8dKUEcvNrOtpYM+Hk1rDS4fn/n0p7ngggtSlnWg3NxcFi9eTGdodLMpu+nmyquuTHKqxNxw440E7RGaEzir2RHqpjXSySc++ck0JIsuKysLT0YmnZHEb0a042PWrFkpTJW4M888k5qeVnyRwWfFdgeaec8552C1Wg1K9g6LxcIPf3Y7/+6sJZzAzRNfJMwT7Yf5/u0/MbSYmDt3LldceSX3Vx6O+bzna+rJKp1s6BZlgPz8fFq6E38dt/T4yM3PT2Gi2D7/xS/x8OtbaO9O/Dz6m7urafOFxzyzOBnsDgfBUPQzmqFQGLvNnuZEQgizkEJTTBha659prRcAJwF/BuzAl4CNSqm3lFKfU0oVGhrSQEVFRfzzX/8Ep5+wHnkDF+3wceJJJyRtTmaiPvThD+FzjHzgvdaaLt1p2Ow2h8PBN779Tap1fdxVwip9hC988QuGbI0caN7cuTQluN1Xa82R7hYWLFiQ4lSJsdvtzJxWQV148FiLBpuf4048waBUQ51++ulMmTE9oVXNFe2HWX7aqWnZPRDPbV/9KitqG2jyRf9ZDEUi/K26jm//4IeGr7BNnz6dwy1t+BJsVLW/uZN5x8SexZtK06ZN45JLL+WBl99K+Gv+smIdX/rK/8NmG1mn6FSIhMPDziC1WCyEw6nrfC6EMDcpNMWEo7Ver7X+DFBK7+rmU8Ax9HafrVVKPWFcOmMdd9xx/OhHPxxxc6Cg9pKTn8k9996T9qHml112Gd3BLoKR6CMAhtMZ7mTqtKnMmTMnRcnie//734/KtMZc1WwPddGJl1s+eksak0W35ITjaQonNn+wPewly5NFXl5eilMlrrCwkO7I4O2dPZYIhYXmur/0uS/fxjPe2F1OI1rzbFcjn73tS2lKFVtJSQlXXnUVTx6KPrN0dX0zxVOmmqK7qNvt5pi5c9lUm1gn2fV1bSw3OPfnv/glHnp9Mz0JzNXctL+Ghi4fV111VRqSxef1eXE6oq9aOh12/P6xHdkQQoxfUmiKCUtrHdRaP6a1vhyYAnyn71OXGRjLcB/60Ie46OKL0E5/QufxwjqIcgb490P/NuT8YGZmJpdccgnt4bYRfZ3P7uWjH0vvzMSj2Ww2vvr1r3FIDd+B9qBu4HNf+JxhQ9cHOva4JbQ5Ehsg3xjqYKFJVjPjSffNkXjOPfdc2glT7Ru+qN/W00puUQHHH398GpPF9sGbb+a5I81Rf2+saGznwx8zppFVNBdfcQUvHoh/RrqmrYv6jm5OOumkNKQa3vTp0zll+Sn8d+32uM/9+8rNfPwTnzLFaiaAt6eHDKcz6udcTgde79hGVAkhxi9z/esrRJKpXucDvwW+Ru922uTN+RinfvWrX5JXmE1omPOa/bTWKJefH//kx8ydOzdN6Yb64Ic+iM+e+PbZsA7T4e8w/KwYwFVXXYVX+ekIDS0qesI+moNt3HTTTekPFsXixYup9yfWfbMp0s0Jy4x9c360zs5OXGrwm2+HVnR2mmuykdVq5YqrrmJN9/Arbmt8bVxzw/VpTBXfwoULiVhtHDrqLGFYazbUN3H++ecblGyoq666mpf21MTdPvu/nQd531VXmaJo+/DNt/Dk+t0xn9Pe42PV9gNca9CRgGh8Ph+OYVY0ewtNWdEU4t1KCk0xISml5iulbgcOAc8A1wG1wLeB1A1+HCfcbjf33HM3OAMxt9CGLV4WHbuIG264IY3phlq2bBnKAv5wYm9YOkIdLFu2zBSz2xwOBzd/5CMcjjQP+VxtqJGrr7nG8LOZ/aZPn04gEqQ7gTEnLXYfxx1/XBpSJa6pqYksy+CxFhlBRb1BMxJjuejSS9gU6o76Oa01b3W3cIEJOuUOpJTi2MWL2N8x+KZJXY+XnKwsU21Rnjx5Mscft4SX90UfeQMQjkR4alcN191wYxqTDe+MM86gtrmdw83D3+x5dcs+Tl2+3BS/2/oFAkEc9uiFpt1mIxgc2bEHIcTEIYWmmDCUUvlKqU8rpdYC24D/B3iAe4DTtNZztdY/1lofMjSoSRx33HGcddaZhFT04k1rjbYF+L//+5nhzT0sFgsXX3IxnZHEzg+GHEGuvubqFKdK3A033sDhQNOgMS1aa+ojrXzowx8yMNlgFouFJYuXcDjYFvN5YR2hprOJE088MT3BEqC1pr6liVyLa9DjuTg5VFltUKrhnXDCCVR3tuKLDG2U0hTyE7IoZs+ebUCy2KaWV9B01DnCJl+AKaWTDEo0vOs/fDP/2zv8/M+3ahrJLyxk8WJzNCa32WyceeYZrN5ZOexz1uyt4bwLjRl1Mxyt9bDjZCxKEYm86zcRCfGuJYWmmEjqgN8BxwMvADcAk7TWt2qtVxuazKQ+duvHcGRE/zUQJkB5eTnz5s1Lc6roLnvvZYSd8btIRnSEdl875557bhpSJWbq1KlUlJcPagrUEe4mIyuThQsXGphsqHMuOI86Yo+TORJsZ1rZVFM1AmpubsZuseK0DN4CmWd1cbCyyphQMTidTmZOK6cqyjnNA95Ojj3mGMNv8ETj9njwHtVF1B8O4zLBGeOjXXDBBew43EzzMKNOVuyr4+rrzLU9+eTlp7Hl4PBnujdXHubkk09OY6L47HYboVD0zrLBUGjYbbVCiIlPCk0xkVQC3wTKtdYXaK3/qXWcQ4jvcgsXLsTrjz5oO6JDHH+CeRqRnHrqqXT5uwhFYheb3eFuZsycaaptfACXXfFeWvQ7BVxjqJWLL7nIdMXEeeefR3WoJWajqIPhVi669OI0poqvtraWAvfQZlV5VjeH64Zf1TLS3HnzqA0M3T5bG+hhrsluQPSLhEJYj3rNWpQy5QgLt9vNmaefxusHhs7/1Fqz8kAdF198iQHJhrdw4UL2HRm6zR6gxxegsbWDmTNnpjlVbJmZHnp80f+p7fH6yczMTHMiIYRZSKEpJgyt9Tyt9e1a6+EP5YhBAoEAlhiFjt8/8vmVqeJyuTjjjDPoCMVuVuOzernm/ebZNtvvnHPOoU29U1R02n2ce955BiaKbs6cOXhysjgyzEgWrTUHIk1cdrnxg+IHqq2tJe+obbMAuRYXhxvjzzI1QsXsWTQEh/6MNakw5TOmG5Aovp7ubpzWwW8dnBYLvmEKDaOddd75vHVk6Gu5qqUTd0YmM2aY68j+9OnTOXgkepOomuZ2pk0pxWq1pjlVbLm5ubR1Rj9v3NbVRXa2ec6TCiHSSwpNMeEopUqVUjcqpb6qlPpOlD/fNjqjWaxbtw6nIyPq5yzKzhtvvGmqN+g3fvBG/M7hx29EdIT2YDtXXnllGlMlZtGiRXT6uwn0zQNt6mph2bJlBqcaSinFtddfx75I9O17dcF2MrOzTHOurd+hQ4fICQ/tHOpWNpSGtra29IeKo3TyZNotQ3++2ggzaZL5zjwCeHu6cR1V6DitVtMWmieccAI7G9qGPL79SAvHm6yZFUBBQQE9Pj+BKN1ymzq6KC4uNiBVbIVFxbS0Rd9u39LeSZEJMwsh0sP4ft5CJJFS6vv0jjEZ+NpWgD7qf/8wzdFM6c9/vgN/VxhHlFtOVuy0tbaxdu1a0xRE55xzDmEVwhfy4bIOXb1qD7Vz3JLjmDx5sgHpYrPZbMyfO4+2qt4zeZNLJ5um2+zRrv3Atfz5D3/kFOdMbGrwi2OvbuSGD99oui2/1QcqoxaaSimK3NkcPHjQVGdKAYqKimhn6JbT9nCQoqIiAxLFFwwGh2ydtVoUwVD889NGmDVrFoeaWglFItgGzFOtau1k3llnG5gsOqUUmRluunwB8u2DX89dXj/ZJuo226+4pITDu2qifq6xpZ2SMuNGYwkhjCUrmmLCUErdQO/4kpXA1fQWlX8Drgfuond+5r+A9xiV0UxWrVrFtq3bsKvoTTyUUkR8Vr7x9W+YZlXTbrdz80duptMydC6i1hqvvYfPfO4zBiRLzAknnvD2PE2zrQgOVF5ezry586jyD17VDOkwe71HTDXDr9++XXsotEZfnS+wuqmuNl/n2aKiItrDQ0c/tAZ8ply5gt6fwdBRXUTDEY3NZNs5+zmdTvJzsmnqGrzi2uANUVZWZlCq2BwOB6EoZ16D4QhOh9OARLGVlpbS1BZ9Vm1jWyelpaVpTiSEMAspNMVE8kmgBrhQa/1432NVWut/aa0/AVwKvB/INiqgWQQCAT77mc+i/faYnUBa/AABAABJREFUK1M23BzYX8W//vWvNKaL7ZZbbqE92EZYD34j1hPuwZHhMFW32aPNX7CAoKP3Tfoxi83Z7KXf9R++kUrVOuixan8z8+fNN+WK8cGDB4ctNHODVqqqqtIbKAElJSW0HNWMS2tNS0+3aQvN7Nxcuo/qMNoTCuHxDG3EZBYFeXm0eQefhW3zBU3XMKxfrBt7ZrnpN9CkSZNoaIl+pruxpZ2SkpI0JxJCmIUUmmIiWQQ8rbUeuIfr7dvsWuvngOeAr6Q7mNn88pe/pK2lAxtDt58OpJRC+xx84xvfpKkpeoOKdCspKeGc95xDW6ht0OM9tm4+9alPYbGY99fa5MmTCVp636SbdTWl34UXXkhlTwOhAbM/D6o2rnz/VQamik5rzeGGI1GbAQHkagdV+/anOVV8paWltPT0DPoet4eDuJxO03bqLJpUSmtwcKHZ7A9QXGLOwhjAk+WhOzB45bg7GDLt1vVgMIjdNnSF2G61EAgOf0bdKMXFxTQ2t0X9XGNLmxSaQryLmfcdmRAjZwcG9oX3AkcfaNkGHJu2RCZUXV3Nn//0Z7TPmdA5O6uyo4NWvv3t76QhXWI+eutH8dvf2QoX1mHa/G1c+4FrDUwVX25uLsG++yA5JjxrNVBRURFlk6fQGHynyUdtqI0zzzrLuFDD6O7uJqI1bkv0eX3ZFid1NUNHXBjN4XBQnJdPQ+Cd13JdoIfyKea9CVFWVkZDaPDW2Xqvn7LyCmMCJcDtduM/ahXWHwyRkRF9BdxoPn8Ap33oeWOXw463J/o4KiOVlJTQ0NwS9XONLW2mXZ0XQqSeFJpiIqkDBh4GOQgcfRBuMmDOrhVp8uMf/RgVdmBRiZ+psgSdPPXUU+zfb45VoeXLlxPUQQKR3rv7XaEujltyHPn5+QYni81ms7299c1mM38vtqUnLaUh1Fto+iJBeoI+Zs2aZXCqobq7u3HbHMN+3qls9HRHH79gtLlzZnPQ/062g/5u5h+zwMBEsZWXl1PnG7wNtS4YZroJXxf9XC7X0EIzFMbpNN95R601/kD0QtNhs+IPmGfkVL/c3Fz8/gD+wODV1nA4Qmt7u2m3KAshUk8KTTGRbAQGHnx7CThdKfVBpVSmUuoSepsEbTQknQl0dXXx9DNPYwnH3jJ7NKUsWMIOHnjggRQlGxmLxcLJy06mO9z7Bj1gDXD+hecbnCo+n8+Hpa+LayBgvi1wR5s9by6dqjdne7iHstLJptya7HQ6CUaGv38UJoLDhEUFwJKTTmJ/oIvHF/T2KDsQ8bHkpBMNTjW86dOnc7CtfdBZwVp/kOnTzTn3E8DlGrqi6QuGcLlG9nswHbTWaK2xRvk5s1mthENDmwQZTSlFUWHBkHOaze0d5GRnY7dH32kghJj4zPeOQYjRewpYqJTqf8dzO9AO3Ad0AE/S24n2W4akM4Ht27fjcma8XeyMSNjKypWvJz/UKB2/9HiC9J670vYIxxxzjMGJ4mtra8OuelcqWltb4zzbeAUFBQStvQWFLxIkP8+cK8bZ2dmEIxF8wxSbrWEfk6eaczvq0pNOZL9+Z5Vqb6CbpUuXGpgotoKCAlCKjgFzHms6upgxY4aBqWLzZGfTHRj82vD6A6Y8o6mUQilF+KjOvgChcBiLSbv7lpaWcqRx8PbZI40tlJp0HqwQIj2k0BQThtb6Pq11hta6su+/DwEnAn8GVgB3Aidqrd8wMKahvF4vatQ/9spU54NKS0ux9A0ADUaCph1wP1BDQwO2SG/m+vp6g9PE53A40Kq30AyjTbsqaLFYmD19JodC0YfGH7Z6WXz8kvSGStCJJ57I7vZmQjpCVzhIfU+nqW+aKKUonzKFmm4vAP5wmJbuHqZMmWJwsuHlFxbS4XtnB0E4EqGzx2vKc9JKKTyZGXR5h26R7fYFyMoyZ3ffadOmUVs/uGFcTX0T08qnGZRICGEGUmiKCU1rXam1/ozW+iKt9Se11luNzmSk2bNn4/N3j6pFfkQHmb9gfgpSjY7b7aa/l1E4Esbtjj4P1Exqa2uxBnpDH6w+aHCa+EKhEP3toixAOGTe483nXHg+uyLvrKj8pvgCACJaszvYzFkmbGIEvefbpkyaxAFfFzt72llyzCLTbzWcPmMGh/sKzboeH6VFRaY+c1xcMokm7ztdZ1t6/ORmZ5k286SiIurbuoY8fqS1k8kmLehnzp5DZe2RQY9V1tQxa9YcgxIJIcxACk0h3kWmTJnCrFmzCWlf/CcPoLXGlqG58cYbU5RsbBTKlPPljlZ7sAan6i0iag/VGJwmPq/Xi7VvBdaurHSZtKEOwJVXX8XmcBORo14H+4ItFJWUMHPmTIOSxbds+XKeaj7EivY6TjnzDKPjxDV9zlxqe3p/h9T2eJleUW5wotjKy8up635nRbO2vZupU8w3C7bfzFkzOXBk6DipysY2Zs6ea0Ci+ObPn8+eg3WDHtt78AjzF5i3sZUQIvWk0BTiXeYnP/0xuAJE9NAzQMMJW7zMmTPbVKtCgUCA/pLCoiwEg8GYzzeDxsZG7JbeVZSWlujjAMyko6MDa1/vEYey0dU1dJXFLObPn0/J5EnsDAx+g76ORj50y80GpUrMTR+9hZnvPZ+Fl1/I1e+/xug4cc2YOZPaUISVl51FTZeXGXPMvWo1e/ZsKgfMeaxq7mDO3HnGBYrj2OOXsv1gw5DHd9Q0cuyx5pzOtXjxYrbtqURrze5n7gNg+74qFi8+uvG7EOLdRApNId5lTjnlFK6/7jpw+RJaBQzpAMoZ5s677kxo7ma6BINB6MuvlBoXhWZPjxdr31gZn29kq8pG6Ghvx963oulQNnq85jmjG81HP/UJ1lBPc9hLc9hLbbCDnb5G089XPfbYY/n5r3/Fz3/1K1OOjznarFmzqOk7Q1gbCDHLxEUb9HbKbe7spssfYP1t72dPSxcLlxxndKxhnXLKKaw/MHjua5fXz/7aeo47zpy5p02bRkRr6voaAjW3ddDW0TkuXs9CiNSRQlOIBCilypRS9yqlDiul/EqpKqXUb5RSeSO8Tn7f11X1Xedw33XT2hLzhz/6IbPmzEDbBhc72dbSQf8d0WG0w8udd/6F8nIzbo8zT+GbCIvlnbyj6vybZp0dndgtvYWx3WL+QvPKK6/EUprDXezkLnbygGUfH/3oLaZs+jKezZ49m6qWVrTWVPuCzDH5iqbVauWYuXPZWd/b6XlHY4dpCzaApUuXUn2kiZbOHrb+6asAvLm7mqXHH2fKkSzQe7Nv6dKlvLVjLwBvbd/LCccfb8pxSEKI9JHfAELEoZSaCWwAbgbWAr8GDgCfB9YopQoSvE4BsKbv6/b3XWdt33U3KKXSNh/Abrfz73//i8w8F0HtjfocrSNol5cvf+U2zj/ffDMqXS4XKFiYtYiIjoyLZkAeTxYhHWJZ9kIyMjKMjhOXt7sHW98/EzYsBEy+apyRkcGLK19l664db//55ne/Y3SsCSc/Px+n00mTL0BVa7vpC02AE5YtY2tdC/5QmP31Tabe0ul0Ojl1+Sms2lH59mMrd1Zz3oUXG5gqvpNPWc5bO/cDsGHHPpadcorBiYQQRpNCU4j4/gQUA5/TWl+htf6a1vo99BaKc4EfJ3idnwBzgF9prc/pu84V9BaexX1/T9rk5+fz6KOPoFwBwnpwAaG1Rjv9nHvue/jsZz+bzlgJy8nJQavec6aBYIDs7GyDE8VXOrkUfySIPxKguKTE6DhxRSIRVN+qsVJqSKMd8e41e/oM7tpdSSASGRejhZaetIxNDR2sra5n+rRppr/Rc8HFl/Lazmqg9/fxyu0HTHnDb6Bly5a9XWhu3HWAk0+WQlOIdzspNIWIoW8183ygCvjjUZ/+LtANfFAplRnnOh7gg33P/95Rn/4DUA1ckM5VTYC5c+fyy1/+Eu304ot0vvNHd5BfmMPv//B7U53LHKikpISgDhHREfxBf+8geZObPnM6AUsIb8TPzNnm7YLaz2a3EelruRTREayyDU70+eLXv868qz7AT26/3bS/IwZatmwZtT0hfr5qF5e+971Gx4nr3HPPZc2OA4QjEXbXNJDp8TBjRlr/eRixRYsWcbi+icWX38re6kMsWbLE6EhCCIOZc4iUEOZxdt/HFVoPbtOqte5USq2itxA9GXgxxnVOBtx91+k86joRpdRzwK19f9+BZIVPxNVXX00gEKC2tnbQ41dddZWpt6OWl5fT1dNJ0J5PYX7huDgLNGPGDFrCHSitmDXb/E0yPFlZBHVv29mQjuByOA1OJMziPe95D+95z3uMjpGwSZMmsX7jJqNjJGzSpEmUlBTzp/+9zqHGNs462/zfa6fTyc5duwiHw1itVtPPgxVCpJ4UmkLE1j+0bM8wn99Lb6E5h9iFZiLXoe86aXf99dcb8deOSW5uLg6Hg6ZIE3Onm3O23NFOOeUUPvjRD6O1Hhdv0vMLC/ATAsCng2RnmX97shATxde++W1ef/UVSosVH7rZ3CN6+tntdikwhRBvk0JTiNj621W2D/P5/sdzU30dpdSt9K56Mm3atDh/3bvDPffeQ01NzbjZopWbm8u3vv0to2MkrLi4GL+9d+tsV9hPUVGRwYmEePe47LLLuOyyy4yOIYQQoyaFphDjhNb6TuBOgKVLl0pXFhgXq4LjWVlZGT0qwOdLzmebt4ap5ebvLiqEEEIIczD/oSYhjNW/0jjcIL7+x9vSdB0h0qaiooKWQBcAndrP7LlSaAohhBAiMVJoChHb7r6Pw73Dnt33cbizl8m+jhBpM3XqVDp93YR0mC57aFw0MBJCCCGEOUihKURsL/d9PF8pNejnRSmVBZwK9ABvxLnOG4AXOLXv6wZex0JvQ6GBf58QhrPZbEwpmUxrqIfWcDezZ8+O/0VCCCGEEEihKURMWuv9wAqgAvj0UZ/+PpAJPKC17u5/UCk1Tyk176jrdAEP9D3/e0dd5zN9139Oa53W0SZCxDNr9iy2e2tp6m43/Rw/IYQQQpiHNAMSIr5PAauB3ymlzgF2AsvonXm5B/jmUc/f2ffx6Cnm3wDOAr6klFoCrAXmA5cDDQwtZIUw3Ic/cjOPeh7m9GmXkZGRYXQcIYQQQowTSmtpXilEPEqpqcAPgAuBAqAOeBz4vta69ajnagCt9dGFJkqpfOC7wBVAKdAMPAN8R2tdk2iepUuX6vXr14/q/xYhhBBivFFKbdBaLzU6hxAicbKiKUQCtNaHgIQmZkcrMAd8rgX4fN8fIYQQQgghJiQ5oymEEEIIIYQQIqmk0BRCCCGEEEIIkVRSaAohhBBCCCGESCopNIUQQgghhBBCJJV0nRViHFJKNQLVKbh0IdCUguumkmROvfGWF8Zf5vGWFyRzOoy3vJC6zOVa66IUXFcIkSJSaAoh3qaUWj/e2sdL5tQbb3lh/GUeb3lBMqfDeMsL4zOzECI1ZOusEEIIIYQQQoikkkJTCCGEEEIIIURSSaEphBjoTqMDjIJkTr3xlhfGX+bxlhckczqMt7wwPjMLIVJAzmgKIYQQQgghhEgqWdEUQgghhBBCCJFUUmgKIYQQQgghhEgqKTSFEEIIIYQQQiSVFJpCCCGEEEIIIZJKCk0hhBBCCCGEEEklhaYQQgghhBBCiKSSQlMIIYQQQgghRFJJoSmEEEIIIYQQIqmk0BRCCCGEEEIIkVRSaAohhBBCCCGESCopNIUQQgghhBBCJJUUmkIIIYQQQgghkkoKTSGEEEIIIYQQSSWFphBCCCGEEEKIpJJCUwghhBBCCCFEUkmhKYQQQgghhBAiqaTQFEIIIYQQQgiRVFJoCiGEEEIIIYRIKik0hRBCCCGEEEIklRSaQgghhBBCCCGSSgpNIYQQQgghhBBJJYWmEEIIIYQQQoikkkJTCCGEEEIIIURSSaEphBBCCCGEECKpbEYHEEKMXGFhoa6oqDA6hhBCCJEWGzZsaNJaFxmdQwiROCk0hRiHKioqWL9+vdExhBBCiLRQSlUbnUEIMTKydVYIIYQQQgghRFJJoSmEEEIIIYQQIqmk0BRCCCGEEEIIkVRSaAohhBBCCCGESCopNIUQQgghhBBCJJV0nRVCCCHEiPzyZz9j04YN5BcW8Js//gmllNGRhBBCmIysaAohhBAiYVpr7rjjDk5oreOZp5+htrbW6EhCCCFMSApNIYQQQiSsqamJSCTMBWUlzM7PZffu3UZHEkIIYUJSaAohhBAiYVVVVUzNyUYpxWSnjaqqKqMjCSGEMCEpNIUQQkwY4XCYz3z8k3zw/dfx4P0PGB1nQqqvr6fQ5QAg36poOHLE4ERCCCHMSApNIYQQE8bBgwdZ8cyzWNZWcf/d9xodZ0Lq7u7Gbel9+5BhtdLV2WFwIiGEEGYkhaYQQqTJ5s2b+dgtH+NjH/koa9asMTpOQnbv3s1jjz3GCy+8YHSUhBw4cIAp7lyWucqoPHTQ6DgTksViIYIGIIJGWawGJ4qvvr6e6665mmuueC/33Hmn0XGEEOJdQcabCCFEmjz80MOsfW4VVizY7DZOOeUUoyPF9dXbvsLhnZXU9jSzbcd28vLyjI4U08GDB8mNOMi2O/D6vHR3d5OZmWl0rAklJyeH7lAEgK5QmEkmf00AvPHGG7RU7ePcGcXcf99fueXWW42ONCF96QtfYP36dSxavJg//unPRscRQhhMVjSFECJNNm/cxBRHEVNdk9i6eavRcRJSWVnJ6faZFHvyOXDggNFx4mqobyAzqFBKkePKpKGhwehIE86kSZNo8PoAaAzD5MmTDU4U384dOziuNIdLj6lgf3U14XDY6EhxhcNh6uvraWpqMjpKwp7873+57YOX8d+nnkJrbXQcIYTBpNAUQog0qaysJNOWgcfq5mDtIaPjxBUOh2lobiLL6ibH4uLgQfNvRe1oa8WlejfruG0Ourq6DE408cyYMYNDre1EtKbG62fmzJlGR4pr/55dTMv1kOGwk5uZQV1dndGR4vrzn//MSUtPYPGiRbz11ltGx4mrvb2dUCjIaccvxO10yk0eIYRsnRXjl1LqJUADH9Za1/T9dyK01vqcFEYTaVJdXU13dzcFBQWUlJQYHSeu5rYW3DmzsGAhFAqafltnU1MTbocTm7LgCls5Mg66iwYDISwoACyocbFyNd54PB4KcnOp7fZyoLmVefPmGR0proYjRyisyAKgMCuT+vp6ysrKDE4V285tW/nqVWezofIIO3fu5Pjjjzc6Ukw1NTVMmVTcO/ampIiamppx8XtZCJE6UmiK8ewsegvNjAH/nQjZzzMBdHR0cPLJJ+Nxe8jOzWbDWxuMjhRTOBwmFAphwYJSCofNgdfrNXWh2d7eTobdBYA9pGhpbjE4UXzuDDeNure4DOowTqfT4ETxtba2smbNGpRSnH766Xg8HqMjxTVv7hxW1x/Bk5lBbm6u0XHi8nq9uGy5ALjtNrxer7GBElBVeYALz5hPfVsnVZWVRseJq7GxkYLcHAAK87JpbGw0OJEQwmiydVaMW1pri9baqrXeM+C/E/lj/haJIq6dO3eSm5nLFF3G4brDpn/jaLFYsFgs6L77HKFIGIfDYXCq2Px+P7a+jqJWZcHv8xmcKL78okK8lt5CsyvoM33zIoC/3Xcf3/r05/jqpz7DE088YXSchMw/9lheqWtkzqxZRkdJiN3hIBTpbWAUjESw2+0GJ4rvcF0dk/KzmZSXTe046KDc1dWFJ6P3xlSm2013d7fBiYQQRpNCUwgxLu3btw+btqGUIsudZfpGNUopsj1Z+CNBwjpMOBI2/cqV3W4n3Lc6GNEah9PchTFASUkJXbYIYR2hy+eloKDA6Ehx7di0mSuyJ3NeRhG7tu8wOk5CZs+Zy7bWDmbPm290lIQUFBTQ2uMHoLXbS35+vsGJ4mtpaycv002eJ4OWZvM3BAqHw1j65qtarbJtXQghhaYQYpw6ePAgEX/v6qDD6qS2ttbgRPGVTS6jJ+KlO+yjtHjS22/KzConJwdvMABAwBohdxysDk6ZMoV2ArRH/OTn5I6Llav9+/Yz2ZFBqSODvTt3Gh0nIdOmTQOgYpysaJbPmElNexehSIT6tg7Tn88E8PkDnHLbb3A5bPSYfMcGgNPpJBAMARAIhsbFz54QIrXkjKaYcJRSxcBSIA+Iuk1Wa31/WkOJpGtsaMTad6/MohUtLeY/P7jo2EVsObQWu7KPiwYqhYWFdPt6CHsi+G0RiouLjY4UV1lZGS3BHlptPkrHSSOSw/VHKCxegF1ZqK0x/w0TgNLSUqB31Ml4MHf+Al548xUOtXYxqbAQt9ttdKS4LEoRoXc3gdXkN6UAsrOz6ezuAaCz20tOTo7BiYQQRpNCU0wYSik7cAfwIYZfrVf0NgOSQnOcCwQC0NddVGsIhULGBkrACScuZe1zqwmEQ1y07ESj48Rlt9vJy8mjK+yjU/vfXsUys5KSElq9XbRn+igdB/Mdtda0dXaQU9q7Lbm1sc3YQAnq33o6HrYmAxxzzDH8uamDPY1tHHPMAqPjJCQzw017Zxc9vgCZJt9mD1BUVERTazsATa3tFBUVGZxICGE0KTTFRPJD4GZgP/B34BBg/upDjIony0OE3uYeKEzdvbXfokWL6NJeHHY7xx57rNFxElJRXk5bVQ9NvnZmzJhhdJy4MjIysFostIZ9FI6DFdhwOExEa+wWC46IFX/fVmWzy8rqHRWSnZ1tcJLEzJ8/n+rGFnbU57HwPacbHSchBfl5tHd20dLZQ1GR+V/LkyZNor6xGa019U0t42a1WwiROlJoionkemAPcJzW2vwHWsSYTJkyBay9ZzTDKjwutnXOnTuXlu427DY7CxaMj1WVufPnsXfvGoBxs0Lhcjjp1gEmZ5t/FUgphaZ3ZXM8TV6y2XrfPiilDE6SGJfLRdmkSby8/zA/+cwxRsdJyOTSyRyoPkRdaydTlhxndJy4srKysFgstLR30t3dM25Wu4UQqWP+Tf9CJK4YeFqKzHeH6dOng6P3TW6Pv7v3v00uMzMTu91Oj69n3Nztn7tgHtWhFqZNKRs3RcXbtPkLN6vVis1iJagj+CJhXE6X0ZEmrFmzZnK4tYNZ46WBUUUFAIfbu6no+99mV1hYwN7qWvLz80zf7EwIkXryW0BMJAeB8bGPS4zZ3Llz8QZ7COkQ4Uj47eYkZtf/5mu8FG0VFRUc8bdRMb3C6CgJ8wb8eCwOujvHxxy/rIwMusIhuiMhssfBWbzxqqy8AoCpU6caGyRB06b3blU/3NI5LrrkAmR5PNQ3t5Ldt7VaCPHuJoWmmEjuAy5SSkmru3eBGTNm4Av46An3MGP6jHFTuCnL+MjZb8qUKQBUzDT/+UyAnp4eIpEIuRYXTQ0NRsdJSE5WFt2REF3hEDnZ8usrVTI8vcVPRkaGwUkS0/+zd6Sl/e3/bXY2m5VAIIjVKm8vhRBSaIqJ5XbgdeAFpdTZSilZ3ZzArFYr06ZOoz3YxrFLxkdjHQCLGl+/dvvPvpZOMX8HV4AjR46Q784i1+Li8OHDRsdJiCfTQ084RE8kNG6a64jUKywsBKClvXPcnHf0er1kezLw+vxGRxFCmMD4escjRGxB4GrgBOAFoFUpFY7yRzrRRvHVr36V5aecyhlnnMnOcTI0ft78eXSGO1m4aKHRURI3vhY03x5jkZeXZ3CSxNTW1pLvyCDP6uLwkTqj4yTE6XAQ0hFCWuN0Oo2OI0yif9ZnMBQaF3M/ARoam5g7fSqNjU19Da6EEO9m0nVWTCQrGU9tG00kHA7zj3/8A0sgA20N8NxzzzF//nyjY8U1b/48nvrfU+Ni7MZ4Zbfbgd4V5PGgpqaGHO0g2+qkrbODYDD49v8NZhWOhFHKjoXen0WRGuNle32/SCQy6H+b/WewubmZUChE+eQSMtxO6urqmDwOZtkKIVJHCk0xYWitzzI6w3i1f/9+bFY7FuUkGIqwatX/Z++u49uu9j+Ov0607r626zr3McaACQwf7nBx5+Jw4Xdxd3d3GM7FxpAJbGPu7i5196aR8/sj7WjXJk3SJN+snOfj0Ufukm++fdObdd/P95zzOfO57bbbtI7VqZYGGQfK+qUD2YFykV5YWEiUVYfeqCMmLIKSkpKQv9itrqkh0hSFVeegqqpS6zhKiKiqqgIgKiKcqqqqfbMLQtXKlSsZ1LcXQggG9enFihUrQv7vnqIogaWmziqKwoYNGzDoTADohIGNGzdqnMgzLfs6Hijrl4ADdsz9QCk0y0pKiZDOkZ8oYxjl5eUaJ3JPSklRWRnxBjMJRjOFRQdGAyMl8Hbt2gVAj+QEdu/erXGazs2bO5dRg3oDcMjg3sydM0fjRIqiaE0VmoqikJeXh9XiXLqqQ09Z6YGxvia6uYX+gdRAxSEdnR8Ugg6EzwNAQ109RqHntuKpGHV6LJbQbkpSWlqKkJJovYFUYxgFpcVYrVatYykhYPXK5QD0y0hi7dq1Gqfp3IzpUxl/8FAAxo0cyowZ0zVOpCiK1tTUWaXbEEI86OGhUkr5WEDDHGCqqqqwWe3odSCEDpvdhtVqxWQyaR3NrZbGKQdSAxXpODALzQPL30VxqBfI69evp1d0PEIITEJPWlQMmzdvZvDgwVpH88iBMtINof9ZaE1KycIFCwEYnp3C/LlzuPjiizVO5dru3bspLi5hWD/nevmBvbNpbKhny5Yt9O3bV+N0iqJoRRWaSnfysJvXWq4wRPP/VoVmK/s3IBFCHFAXZQfSxa7D7iw0pZQHRO7GxkaAkB8ZbBEeGUFl86hxk8Me8t06V65YQS/x9w2dXHMUK1euPGAKzQPp98SBZPv27disTQAcNiCHd17/LqR/Z0ybNo0jRw/ft3+mEIKjRg/n999/V4WmovyDqamzSndylIuvM4GngDrga+BorQKGqoiICITOeQEjpURKGfKjmfD3Re6BcrFbX1/v3KrAHE5hYaHWcTzSshdlfl6exkk8k5CUSL1w3jipt1mIjY3VOJF7i+bMpY8xct+fe2NmyfwFGibyjM3mnGrvUCP0ATF16lTGD+4FQHZKPJEmA6tXr9Y4lWvTfv+NIw9uu83UkaOGMmPa7xolUhQlFKhCU+k2pJSzXXz9JKW8HxgLnAHEaRo0BEVFRWEwtLTOl5hM5pC9c95ay2hbQ0ODxkk8s3HjRuIjY0mMiGf9+vVax/HI5s2bAVi7co3GSTyTkJCAxeC88VBjaQjpTp1SSpatXEH/iFjOXP8nAAMiYlm8cKHGyTpXWVkJQEVFhbZBuqmpv07hiEE5+/48flAO06ZN1S6QG1arlSVLl3LocOeWWP1PvByAQ4b2Z+WqNQfM72dFUfxPFZrKP4aUcg3wE3Cv1llCTUREBDqD89eBRBJ2gKx5bOkoeqBc7K5Zs4ZoEUG4zcCqVau0juORBfPm0z88nSVLlxwQI8exsbE06JqnJyOJiIjQOJFr27dvx+CAZGPYvudywqLIKyzct7VFqMprHuHOO0BGug8kDQ0NrFy9htH9svc9N2ZANrP/mKFhKtc2bdpEWnIS8TFRbZ6PiginV1bGAXNTTVEU/1OFpvJPsxsY0ulR/zBGo5G/xy9lyG8M3uJAu9hdtmQpYVYDkTKcZYuXah2nU1JKJv/4EyPCsxE2ycqVK7WO1KnIyEiacE6dDTOF9g2TRYsWMSAyrs1zBqGjX2wiixcv1iaUhzZs2OB8XHtgjHQDNNbXAaE/A2LVqlX07pFKZNjfn9+DcjNZtXZdSHYk3rRpE/1yOt7LuF9OjwNmuyxFUfxPFZrKP82hQGhfZWjAZrO16tMpsDvsbo4OHWtXO1v+b9q0SeMknlmzag3R+khiDJEHxF3+OXPmYKuzkGqIoY9I4r2339U6UqccDge65tsm0hHaI7DzZ8+mvwhr93x/EcaCefM0SOS5+bNnMyE9mfl/HTh7Je7YugWAnTt3ahukExs2bKBfRlKb5yLCTKQlxrNjxw6NUrm2d+9e0pPiO3wtIymePXv2BDmRoiihQhWaSrchhMh28ZUrhDhSCPEZMA5Qm3vtp76+fl83VIE4YDqMLl68mFhDLAsOgOYpAHvy9hClDydSH0ZhcVFIN1KRUvL4w48yVKQhhGCIOYPffv2Vbdu2aR3NrbKyMsKlc0TeYm0K6c/ygvkLGBQR1+75QWExzJs5K+h5PGWxWJg6bRrXDuhFfkF+SBY/HVm/YSP90pJYt26d1lHcKsjPJzWmfbfktISYfc25QklFRTlx0R1PUY+JiqCy8sBY2qAoiv+pQlPpTnYCOzr42gL8CVwIbAX+T6N8Iau2thabtWUUU2CxNIX8erySkhLyC/JJMiUzc+bMkM9rt9upqa3FpDOhF3qMBkNIr8P79ttvKd6Vz4CwDADCdSZGmLK48/b/C+mf9ab1G4i3OnfuSoqICdnCuLCwkMqqKrLNke1e6xcRy4atW6mvr9cgWee+//57+sREkhUVwYk9Unjv7be0jtSpgoIC6uvrOaFvBosXhvaNqdqaGqLC2nf9jjSbQvIzYWm0YDIaO3zNbDLS1Bi6N3sURQksVWgq3cmnLr4+Bl4C/gUMk1IeGAv6gqihoWHfNEMhBEJAU1OTxqnc++2334gLiyNMF0ZTYxNr1oT2WjGr1YpOJ9AJwZTSORj0xpAdbSssLOS+u+5hvKE3ulbdh0eEZbF1zUY+/+xzDdO5N2fWbHIMzi1NcvSxzJ8/X+NEHVu4cCGDYhLb/HxbhOn05MTEsWLFCg2SuWexWHj2ice5OCsFgHN7pvPN11+H/PTIv/76i1E90xjdM4XZM//UOk6nHB3czAnV+zsS1/t7CiGQhGhwRVECThWaSrchpbxcSnlFB19XSSn/T0r5jZQyNK/sFa9N+mQS5ibnNiwRjgi+/uprrSO5ZTQasTsc+0YD7Q4bBoNB41TtORwOrrniKgbq00g1xrR5TS90HGXsy0P3P8D27ds1Sujanj172L17D72NzvVig2Qc33/5jcapOrZ4wUL6SNd71fbThbMkBBsCvfDss/Q2GzmoeU1eUpiZc7PT+e9tt4X0SPfvP09mTGYC/VPiqamuDtmRboCIyEgam2ztnm+02ggPbz+lVmt6nd7lMgCHQ6LTqUtNRfmnUn/7lX88IcRlQojQv8UdQDExMehbtjeREp3QYTK5vgjW2p49e9i0aRNRhmgAokQ0337zLXZ76DYx0uv1hJnDsErnBWRjk4XY2FiNU7X35htvUrB5F6PM2R2+nmSMZqQxi6suuwKbrf3FsJY+/fgTDjKnohfOz/JAUxJbtmxh69atGidrb8XiJfQNi3b5eq4xghWLQqvQXLlyJZ98+AG39W/72bgwtwe71q/lqy+/0CiZew0NDcyaM4fxuenohOCI3HR++WWK1rFcioyKoqGDQrPB0hTS2/UoiqLsTxWaigI5wJFah9BSjx49MIU5R9cc2ElITHQ5FSoUfP/998QYYtA1FxRh+jCEFCwM8Y3uE+MTsDicU5KjIiIxuljXpJVt27bx4vMvcJSx776fbUeGmTNpKKjk9VdfC2I69xobG/n0o48Zo0/f95xB6BhtTOPtN97UMFnHtu3cQWYH6zNbZJkj2bx5cxATuVdfX8+/r7ySW/r1JCms7bYxRp2O+wbn8tD997N7926NEro2c+ZMBqYnEx/h7PB7VK9UpvzwvcapXDOZTNg66JhstTtC8gagtakJg4stsQx6XUhuyaIoSnCoQlNRFPr164e9eaTNgZV+fftpnMi9H77/gTBH2ylkpiYTk3+arFEiz6SmptLYXGgmJyVrnKa9B++9n+GGDGIN7kdNhBCMN+Ty6iuvUlJSEqR07n37zTdk6qNJNbTdNH6sMZPvv/uOiorQ6XzZ0NBAXWMD8QbXRUOKMYzCEPnZAjz52KP01kuO6ZHS4et9YqL4V3YaN1/375CbQvvr5J84Mjtx359HZaWwY+cuCgsLNUzlmtVqRa9rf6MvVIu2mtoaIiPab9MDEBURTk11dZATKYoSKlShqSgK/fv3x2JpREoHQi8ZM/ZwrSO5ZLFY2LJlCxH6tsVQuIhgTojv6ZeckkKTw3mhmBCfoHGatvLy8pg/fz7Dw7LavfZK0bR2z8UaIsg1JvHVl18GI55bUkreff0txsjUdq/F6s0MNCfz5eehM62zpqaGSJPZ7ayBcJ2BOktjSGyBs3HjRr796itu6dfxdOoW5/fqQfmunfzwww9BStY5KSV/zpzJuFznSPeoF77BoNcxOieNP/8MzRUTpSXFxEWY2z0fGxlGWVmZBoncKy4qIjGu42UAifExFBcXBzmRoiihQhWaiqJgMBjo378/dqyYwnWMHj1a60gu5eXlEWYOQy+cU7XW1ji7zZp1ZvLyQ7uhsNlkwtHcgdEc1v5CUkszZ86kV3gKBtHxFLiO9BTx/PbzrwFM5ZkNGzZQVlxCP1Nih68fQjJffvpZkFO55nA4Op2a3vJqKIwOvvTss5yfnUacue0I7PifZ7X5s14I/p2bwfNPPhESuQG2b9+OQUgy49qOdI9Mi2X+X7M1SuXets2byE6Ob/d8dkIMW7Zs0SCRe7t27yYzLanD13qkJrE7xDsSK4oSOKrQVBQFgLHjxuLASl1DLSNHjtQ6jks1NTUY9e3XNuqFnobGBg0Sea66umZfo5ra2lqN07RVVlaG2ebdPwlROnNIjLBMnzadQfqEDrcKAcg1xpNXkB8yUyUjIyNp6GT7oCbpwKjXo3ex9i1YLBYLv0+fxslZaR4df3BSPI011axduzbAyTyzevVqBqe1vwExOC2BVStDb/sYKSXLV65icM/2P+9BWcksWxxa69AtFguFRUVkpXU8pTo9KZHKqqqQ+32nKEpwqEJTURQAZ3FpsBEfn0B0tOtumFqLiIjA7mjfXdaBI+Sa6+xv+/ZtROqda0t37d4VMqM+AOnp6TQYvevaW21vJD09vfMDA2zF4qVkyiiXr+uFjuyIhJDZazUqKgq7dGDp4HPcosrWREKM9l2Jt27dSmpUFLEmz/5uCSEYFBcTMoXmtm3byIpuP3sgOz6aHXv2htTfQYD169cTGWYiLT6m3Wuj+maxYOGikOquvW3bNjLTUjEZO96qSa/XkZvVI6QaWymKEjyq0FQUBYDc3FwamxroldNL6yhupaenU9dQ1+4C0eqwkpwYeg12WhQWFlJUUky03tlp1GG1h9TF19ixY9lVX0KTw/MtS3aLSo4+/tgApvJMcVERsXr3U5FjpDFkGhcJIUhLTKbU2ujymBJrIxlpno0iBpLFYiHcRRHhilknQqZpTWHeXhLD2382Ik1G9DpdyI20/fHHH4wd0LPD19LiY0iMiWTVqlVBTuXa1q1byc1yf7OpV2ZaSG4xpChK4KlCU1EUwNkRFSAjQ/sRKneioqKIjorGKtteyFocjfTt21ejVJ374osvyAhL3je9M1WfwKRPJ2mc6m89evRgzJgxrLPke3R8tb2B7ZZiLr7k4gAn65zdbkeH+zWPuubjQkV2ViaFTa4LzSJrIz1zcoIXyIXU1FQKa2q9GvkrbrKRktLxVMpgq62uJsrc8WhsVHhYyBWas/6YzpgBrpsujemfzcwQamKUl5dHelL79aStZSTHs3fv3iAlUhQllKhCU1EUAMLDnVM6D4QNwXv37o3F0fYi3SKbGHHQCG0CdaK2tpY3X3+TTPH3iGumIYXPJn0WUh0ZH3rsEVZY91Bnt3R67ALrTq6/4QYSErTvnhsXF0e9dD+C1iAcxMXFBSeQB3r17UuR1fWa4kJbI7kD+gcxUccyMjIwmkzsqfNs/bPN4WB9aTkHHXRQgJN5pqmpCaO+40sdo16HxdL5Zz1YbDYby1esYmSf9p2fWxzcuwcL54VOd+3Kykpio9z/mxEbFUl1VVWQEimKEkpUoakosBL4VOsQWmu54AqlCy9X+g/oj8XRtpmKLkxHn759NErk3iMPP0KiLoYYQ+S+5yL0YfQwJnPPXfdomKytfv36ceHFF7HIttPtcTstpVSHWbn51luCE6wTWb16UmF3PToIUOFopEePHkFK1LmcPr0pcbgujst0jpAY0RRCcPwJE5lb5FnTp5VllfTKzt43Q0JrEumySZRAhNQazV27dhEfE0Wsiz0pAQZlpbJ+46YgpnLPYbej62DPz9Z0QoTUbAJFUYJHFZrKP56U8icp5RVa59BaaWkpQMh05nQno0cGDtpeuEjhICmp4xb7Wvrrr7/47pv/0UffvsjJNWYwZ+ZsJk+erEGyjt197z0UiloKmio7fN0uHSyw7eD5l17cNwqutV59elOpc9/FtaShmuxs9/tABlOPHj2o0LneI7PMYSUjIyOIiVw7/eyzmV1e49GxM0uqOP3c8wKcyHPS4bqQFCI0to9pkZ+fT3qi+wZQKXHRlJVXYLN5vpY6kKKio6mtd3+Tp66hkagQbjCnKErgqEJT6TaEEB96+PWBD+fObH5vvhDCIoTYKYR4WQjhfnFK23McJ4R4QQjxhxCiTAghhRBzvc0SKFu3bsVsDGPb9u1aR+mUTqejo8vDzvYmDLbCwkKuvvJqBhlzMOnarxMzCD2DDb247Zbb2B4iP/eoqCgeePhBlsqO977b0JBP74H9OO6444KczLXMzEyqDK5HTCwOG1aHncTEjvfZ1EJycjJVbhovVVmbQmad49ixYymoa6Cok4LCLiVzCks57fTTg5Ssc9amJgwuRtwMen3INC0CaGxsxNxJ4yWdTmAwGEJm5klaWhrFFdVujymqqA6J7tSKogSfd63kFCW0Xd7J6xLnPugSuMrTkwohegPzgRTgJ2AjMBq4FZgohBgrpfRkXtmNwOlAI7AV0H5xWyuLFy9G2I2UlpZQVVVFbKz2Wyu4UpBfgJ62+wsKqds3KhsKLBYLF55/AekynmST6/sRccZochxp/Ovc8/lz9kyiolxv0xEs55x7Lo88+DBltloSDW3zbBAlvHLnIxol61hSUhJ1uC4YamUT8TGxIXUjIiYmhnq760KzztoUMtsMGQwGjp4wgYU7N3F6jutR1k2VNSQnJdGzZ8ddU7VQXVNNZFL7rUIAoswmqqvdF0nBFBkZSb3F/ci81W7HZreFzGyCzMxM8ovd//OXX1xGZmZmkBIpihJK1Iim0p30cvF1EHAtsBf4Gsj18rxv4iwyb5FSniGlvFtKeTTwEtAfeMLD8zwDDAGigFO9zBBw06dNR4eRyLBo5s2bp3Uct1YsX4FZ13bLAtkoWblipTaB9iOl5NabbqFqbzm9jJ1Pf8w2pSIq7Vx1xVU4HK6nUwaL0Wjk5FNOZpelbeFeZ7dQbavniCOO0ChZx8LCwrBJ1z83q3RgNpmCmKhzBoPBbWa7dGAwhM694LFHHcXaOvcjmmvKqxgzfnyQEnkmv6CAlOiOi7LkqLCQ6oaanp5OYZn7pjnFlbUkJyag04XG5Vt2djb5Re5v8OUXlYbUtHVFUYInNH5TKYofSCl3ufhaJaV8HxgHTAQ83viveTTzeGAn8MZ+Lz8E1AGXCCEi6YSUcoGUcp2UMuS6IhQUFJCXn4ceEw21Nn768SetI7lUU1PDps2biNC37XQYoYtg+rTpGqVq6/333mf2jFkMMuZ4NIomhGCAMZv1y9bw3LPPBSFh50YcPJJqY9tRwjJbLf379AuZi9wWVqsVvZt/zvQIrNbQWNPWoqmpCYNwndmoC61pnYMGDWJnJ4XmLouNISNGBCeQByorKyktqyArruNZAr1jw1i9cmVwQ7mRlZVFWVUNDU2u/3/fUVhG71xv75UGTnJyMqXlFW6PKauoIjk5dPc4VhQlcELrakFRAkhKuQf4GeeUV08d1fw4Tcq2ww9SyhpgHhABHOaXkBqZMmUKJn0EQgiMwszUadNCptnE/n755Rdiw2LRi7ZTZyP0EZSUlLB582aNkjmtXr2aJx9/gqHGXAz7ZXRHJ3QMMebyzltvh8SIckREBHbRdiWsDTsRITJlr7Xy8nIihOvRv0idiYqaqpBq/FJWVkaMoeP9HQGijWbKy8uDmMi99PR0yhvcb3FSbrOTlpYWpESdmzZtGofkZqB3cWPk8J6pTP3tl5D5XBgMBnr36sn2AtcjhNsKShk4eEgQU7lnMBiwdzILw+5woNd7/rtQUZTuQxWayj9NEdDXi+NbNrJzVb1saX7s53OiEPDtN//D1jxYoRMG9DoDixYt0jaUC2+98RZhTe3b/wshiBbRvPfuexqkcrLZbFxz5dX00WcSqfe+IAvTmRhg6Mm1V19LfX19ABJ6rrCwELOt7T8RETpzSO372WLbtm3EWV0XmhE6Iwaho6SkJIip3Nu9ezdJbtokpBjN7Ny5M3iBOmEwGLB1VlBIGTLTfaWUvP/Wm5zUx3UTmiHpidjq60Lixk6LPn36sKPI9Q2GnaXV9Os/IIiJ3CstLSU+tuM1sC3iYqNDav28oijBowpN5R9DCKEHjga82Tm6pSOOq/e0PB/nYyyPCSGuFUIsFUIs9ecFc21tLWvXrcHA32vYrPUOfv/td799D39ZuHAhe/fsJdrQ8YVNrIjjm6+/0Wwk6LNJk2isqKeH2fdpYqmmBMKbDLz15pt+TOa9ZYuWECfbFvQJ+kh25e0JmY6XLZbOX0QG7jeNz4qIZ2UITZNcs3wFWcL1utFMaWDt6jVBTOReeXk5MWFmt8dEG/SUlXm232ag/fzzz9SUFjOhj+s10johuHxkLg/fd2/I7POYmd2T4spal68XVdeF1H6wq1evpm9Olttj+vbMZM2a0PksK4oSPKrQVLoNIcQRLr6OFkJcBvwBjMDZOfaAI6V8V0o5Sko5yp/rXVasWEFkeBRC6Ki2FwAgpIFZs2b77Xv4y+OPPk6ULdrlukejzki0IZrXXn0tyMmcIyivvvwqPUVql7ub5ujSeOftdzVbo+dwOJg3bx6ZpraNkU06AykR8SxevFiTXB1xOBwsXLyQXDedfQGym8L5K4Q+04sXLqRPuOuRoD7maBbPDZ2RttWrV5Mb7X4peo5Jz+oVK4KUyLWSkhLuvfO/3HnkEJfTZlucOLAn+vpq3nzj9SClcy8iMspt59kGi42ICPc3VYLp11+mMH7kQLfHjD9oIL9O+TlIiRRFCSWq0FS6k1nAzA6+pgMfAkcAc4D/enHOlhFLV3t9tDxf6V3U0LF+/XpslrZrlPQY2bFze8isXQJYsGAB69etJ84Y5/a4WBnHhx9+GPSpWlu2bKG6qpoEF6Ot3og2RGLCwLJly/yQzHsrV67EiJ44Q/sL2kx7NL9MDp2LxuXLlxMuDSTp3V98DzIm8fuU0FiPV1lZSV5hIblhrreyGRgRy8p1a0KmIdDk7/7H6Bj3P+PDUxL45efJmnZOttvt3HDtNUzsm87IzM5vyOmE4OFjR/D6Ky+zZMmSICR0r7ammgiz65HuCLORurq6ICZyrby8nJ9/nsLpR49xe9wpRx3OtOnTKSoqClIyRVFChSo0le7kURdfD+NsAHSYlHKClNKbjdM2NT+6WoPZst5T2w40XVBQUIi1af/GPwK7za75OsEWUkoeuO8BYhyx6Nx06gQw6UxE62J4/vnng5TOadWqVSSY/LdXY7QMZ9WqVX45l7d+/mkyPV3MBu9lSuLnn6eERMEG8NXnXzCMxE6PyzLEYKmpD4nps4sXL6Z/XJLbrrNReiOpEdGsW7cuiMk6tm3bNhYvWsyEdPeFW5+YKGKQTJkyJUjJ2nvy8ceozd/J9Ye5H2VrLSM2kgeOHsGVl15CYWFhANN1buumjfRMcT06n5UQrXnDsxavvPwSE8ePIjkhzu1x8TFRnHHMGF588YXgBFMUJWSoQlPpNqSUD0spH+ng6zEp5etSSl/m+81sfjxeiLZXhUKIaGAsUA8s7GJ8zdisVqBtcSSEQOhESOzpCDBz5kx27thJnCHOo+PjiOPLL76koKAgsMFaKSsrw2DzT5EJoLNBaYk2DTR+/mkyvQxJHb6WqI9CNtlYu3ZtkFO1V1dXxw/f/8Ahps47nQohGCWS+fAd7ZpFtVixfDm5dL6vZx9TJCtCYCrqQ/few7k904k0um/0I4Tgip5pPPbggzQ2ut8KJRB+/fVXvv3ic5464WAMeu8ub8b3zuD0AT246rJLNRtFtlqtLF62nGG9XK8rHdErjXmzZwUvlAs7d+7kiy++4KYLT/Po+OvPP4Ufv/+eLVu2dH6woijdhio0FcUNKeU2YBqQA9y438uPAJHAJCnlvrlMQogBQojQaQvYicSkRHT6tgWSlBK73U5kZKfbgwaclJJHHn6EaFuMx6OFRp2RGF0Mzz0XvD0pdTod0n91JlKCoZML+0DYsWMHlRUVpLqYAiyEIFvE89uvvwU5WXtfffkVvU3xJHjY4fcwcw+m/PKL5t1nN61ZS5ax88w9MLJp3fogJHLt559/ZuPKFZyf47r4ae2w1ER66uHFIP7dA+e6zNtvvYUnTziY+Ij2Xak9cdXo/uirS3n1lZf9G85Ds2fPpldaEsmxrqdUjx2Uy+KlS6mocL93ZaA9cN+9XHHm8aQmul8b3SIhLoZ/n3cS9959V8jMhlAUJfBUoal0O0KIZCHEdUKIV4QQH+z3/GghhLf7TtwAFAOvCiF+FEI8JYT4E/gPzimz9+13/Ibmr/1zjRNCfCyE+BhomdfZt+W55ueDLicnB3N42/38HNhITkpG10kjjWCYP38+ebvziDW4WibbsVji+N+3/wvaWs3k5GTsev9dQEkTmmxyPmPGDHqaktwW9dm6eH77+ZcgpmrPbrfz+suvMB7X21fsL0pnYoQ5lfc13AIHoCAvnySD+w6uAEnGMPJ27Q5Coo6Vl5dz1+23c+fAXpi8GCG8rX82n3z4QVCnfj/12KOc2K8HQzM6n0btik4I7j1qGG+/8UZQZ0O0mPTJR5w2qr/bY6LDzYwb0ptvv/0mSKnamz17NuvXreGKM4/36n0XnXoMe3btYNq0aQFKpihKqNH+KlJR/EgIcRWwE3gDuBm4vNXLqcAC4EJvztk8qjkK+Bg4FLgD6A28gnPdp6f9/PsAlzV/nd38XEqr5y7zJpe/DBs2DKu97XYVdmll6NChWsRp56UXXiLSFuX12kejzkiMIZYPP/wwQMnays3Npc7hfkN7bzTqrPTq1ctv5/PUrz9NIVO6b2iUYYpn247tmm5l8dtvv2FudNCrk+ZQ+xuvz+CjDz6kocF//195q7qmhgh956PVkToD1dXe7MbkXw/fdx9HJsUyLMG7mzxJYWb+3SeT/9x0Y1C2Damrq+OnyZO5ZGSfLp8rPSaSo/tm8vVXX/ohmecKCgqYN28eJx/S+drScw8fwscfvK/JyKCUkscffYT/XHoWZlP76d/9T7y8zWNrRoOBOy4/mycffyxklmUoihJYqtBUug0hxHHAuzhHGc8E3mr9upRyLbAOOMPbc0sp90gpr5BSpkspTVLKnlLK26SU7eYvSSmFlO0nUUopP255zdWXt7n8oVevXjgcdhzy7wtCvQnGjR+nRZw2CgsLWbR4EbFG7y50W0Q5ovj4o4+DckHWr18/KuurscuuX1hLKSmrr2DIkCF+SOa52tpalq1cTrbJ/aiQQejIiUzRdGTi3dffZIz0fiuZVEMUmfpofvpJu12OrDar20ZALQxC0NSkzXrBzZs3M/X337i6j/s9El05MTMNKsuD8nPetWsXyTFRJEb6NmV2fyPS4li/erVfzuWpL7/4nONHDiCyk71KAUb1zcLRZNFkm6H58+dTW13JxHGjfHr/0YeOQDis/Pnnn35OpihKKFKFptKd3AUUAEdKKSfjnO66v9XAoKCmCnE6nY7+/ftj5+8LWqNZx4gRI7QL1Wzy5MnEmmLRC71P7w/ThWFttLJ8+XI/J2svPDyc3JxeVNpq3B43pXROm8eO1NjriYuNC/rU2SlTppAVkYRZZ+z02Gx7LF9/FtxRnxZ5eXmsXbeO4ebUDl+/rXhqm8f9jXIk8dkHHwcqXqdsdjt6Oi+Q9UJgt+/fETo4PnzvXU7PTHHZAGj8z7PaPO5PCMEFWam8/8YbAcnXmsFgoMnW+c9p1AvftHl0xWKzoTcEd330t19/xemjPeuUK4Tg1FH9+fbrrwKcqr2vvvicc48f5/OyCiEE5x4/jq++/MLPyRRFCUWq0FS6k1HAlE62L9kLdN6i8h+m/4AByFYjcZYmC7m5uRomcvplyq+YrJ3f4XdFCIHZEcb06dP9mMq14044njK7N7vndKzUWslRRx/th0Sek1Ly7ptv09fh2Rq3PmEprFq9ih07dgQ4WXvTpk1jUFiKR6OCHRloTmLN+nVUV3f9/ytfWCwWTK0u1M9c/2ebxxYmodekeyvA3NmzGZPsWaMXV0Ynx7N248aAT1Pu06cP9VY728v8M8143p4yxh45wS/n8sTOnTupqqxkaM+2DZeG3vBMm8fWjhrWh+kazCiYM3cORxwyrEvnOGLUMObNm6eaAinKP4AqNJXuxAR0tpN1HBD4RUMHmLi4WCR//6NvtVmJjo7WMJGz8Fm9ehURevebxHfG7DAzf+58P6Vy75RTT6FUVHf5AqrCWMepp5/qp1SemT17NkV7C8g1p3h0vEHoGWLqwTNPPh3gZO0tXbCIbLvvnwuT0NMjMl6TLVocDgcVNTXE6jvf3iTWYKRMo+6iVdXVxJs7z+iOWa/HbDRQV9fZr+Wu0el0XH/jjby9qOv7S64rLGd9STVnnXWWH5J5Zvny5YzonYVO5/k08F6pCTQ01Ad130+LxUJxcSm9enTtXm1GSiINDQ3U1Lif/aEoyoFPFZpKd7ITOLiTYw4FNgU+yoGluKgY0Woqn8lk0rTRC0BVVRVNTU0YRNemsJn1ZrZv3+6nVO4ddNBBmMPNVNpqfT5Hrb2BOlsDRxxxhB+TudfU1MR///N/HKLLQufFmscR5kxmTJvO0qVLA5iuvV07dpLk4ZYmriQSxq5du/yUyHN79uwhPjwCowdTD+MNZqrr6qit9f3z5KvE+HjKGpu6dI5Gm51Gq5WYGPfNpfzh2n9fx45aKzO37PX5HFa7ncf/XMVDjz5GRETXbnB5Y9u2beQkefczEkLQKyOFbdu2BShVe/X19YSFmb1eF70/IQQR4eEBvwGhKIr2VKGpdCc/AeOFEOd29KIQ4gpgGPBdUFOFOCklCxcuQi/+Xpdn1Jk1aTTRWllZGeHm8C5f1OiFnuqa4EyRFEJw2RWXU+hxI+L28m2lnHf+eZg66OgYKM889TSmGhu9PRzNbGHWGTncmMP1115HfX19gNK1Z2lsxIhv63ZbGKTAYrF0fqCfLV++nNxIz4oKvRDkxiawcuXKwIbqwMGjD2VVedemoq6tqKZ/795B+SyHh4fz2ltv8+xfa6ms9+3/1/cXbyJn4BDOPbfDf0ICprSokMRo7wvbpOjIoO4JGxMTQ0NjI1YP1sO643A4qK6pJTbWtyZviqIcOFShqXQnzwK7gS+FEF8DhwMIIW5q/vO7wBbgNe0ihp6lS5dSXV2Njr8LzaY6B++/976GqTyztmZNm8eOCA+arvjTxZdcTL6lFJvD+4sxh3SQbyvhqquvCkCyjs2dO5dPPvyYI4x9fCrq+5nTiKyW3H3nXQFI17Ho6GgaZNcudi06hybTw2fP+INBeD4aO1AXzl+zZgUukAsnn346cyq6NpI6u7SSU88M3hTUQw89lLPOOY/XFrTbxrhTO8uq+WHtLl569bUu39zyVl1dHRHmzhtw7S/MZAjqNj16vZ6eWVls253fpfPsyi8mOSkxqKPGiqJoQxWaSrfRvNXIkcBc4FzgeEAArzb/eT5wjJRSzddpJqXkgfsfwN6ob3NxZRBhbNy0iblz52qWLS4uDou16yNONmkjKirKD4k8k5qayqGjR1PQ5P2oZklTBbm5ufTp0/X9AD1RWFjIVZdfyVGmfkTqO2669ErRtDaP+xNCMN7UhxlTpvLNN8HZRL5nbi/K7V0bQS2XjWRl+bZ1h6+klMyYMYODohI8fs+I8Dim//JrAFN1bPz48eTVNZBf71shY3M4mF1QyulnnunnZO799+67mbO9gL2V3hXJHyzbyo233EJqasedjAPJarVi0Ht/OWbU6bB1cXTRW4eMHs2ydV1bC7t03SZGHXKInxIpihLKVKGpdCtSyt1SygnACOB64H7gZuAQKeWRUso8DeOFnP/9739s2rgZ434jLEIIZKORm2+6WbOulwkJzotxX0YGW2tyNJHZI9MfkTx21rlnU23wvhCqELWcde7ZAUjUnt1u56rLrqA/yfQ0e9Zp1hWzzsBx5gHc89+72Lp1q58SujZ4xDCK9L7fhLBLB3m15QwYMMCPqTq3adMmdDY7PUyej+QMiIhl1969QZ0iCWA0Gjn22GNYUOTbNPANlTWkpaWSk5Pj32CdiI2N5YSJJzB3e4HH77E5HMzblse/LrgwgMncfH8fC02DXgS90Dz6mGOZs9z7EePW5i7fwNHHHOunRIqihDJVaCrdkpRytZTyHSnlk1LKN6SUy7TOFGoKCwu58867kI2mDqeKGQijsryWxx57XIN0zmJ3QP8BNDi6NjWsUTYy+rDRfkrlmWHDhlErvS/QG/VWhg8fHoBE7b3x+usUb93LKHNPv5wv2RjNKEM2V156RcAvfkeOHMmeThtMu1ZkryMlMTkoTWpamzt3LkPDY72ammkQOgbFJDJv3rwAJuvYmCOOZGODbw2B1ldUc/i4cX5O5Jke2TlUeZHbZnfQaLWRkuLdGmV/sTRZMPmwb6dRrwv6OuOjjjqKJWs20Gjx7XPRZLUxb/lajj1WFZqK8k+gCk1F+QeSUnLN1dfgsOjRi44bdQghwGJi0qRJmlzkAhx7/LE0iq4Vmg6znQkTJvgnkIf0ej1SOrx+nwPp80bo3tizZw8vv/ASE4x9vOoy25khYT2wFFXx/nvv+e2cHRk8eDBF9ZU0Sd92KtplreLgUZ01qPa/pfMX0FfnfbfcPphZtmRJABK517NnT4otvt00KLLayOkdnCng+1uzYjkZsZ6PGpsNemLCw9i8uevbo/iitqaWcB/WaIYbDUHfIiQuLo5BAweyZK1vzdtXbthKbq8ckpOT/ZxMUZRQ1LV9AxRFQ0KIB318q5RSPubXMAeY999/n7Vr1qO3R+CuV45O6LFbzFxz9TUsWrwo6M1TJk6cyHtv+1602KSN6sZqxo4d68dUnVu2bBlROu8bXYQ7TCxdupQxY8YEINXfXnz+BQaa0ok1+LcZhxCCwww5vPT8i1x2+eWEh3dtCxJXzGYzOZnZFFbWkm30vnNloa6BY0aPCkAy9zauX89os/d5e5ojmbdqdQASudeV/WCF7Nr7fbV27VoWLVrEfVcc7/F7hBCcPrgnLzz7DO+8/0EA03WsqqqS2Igwr98XE26iqjL4+6yOG38Ey9ZtYfzBQ71+79J1mxk7bnwAUimKEorUiKZyIHu4C1//WLt27eKxxx5HNnq2H5pRhNFQa+Wee+4JQrq2hg0bhk6vw+LwbXpYra2GQ0cfGrCCpyNWq5VXX3qFFIf3BUUa8bzz5tsB7STZ1NTED9//wDBjj4CcP9kYTbwugj/++CMg52/Ru09viu2+TZ8t11uD1nCptd35+aSZvP8sppnC2bV7dwASubdnzx5SfRhpA0gxGdgVxD0eAWpqarj2yiv4z/ghRJi8y335If1YNn9u0BpatVZZVUVMpPefi9iocCo02O942PDhbNrlW+fZzbsKGBak5QGKomhPFZrKgewoH7+O1iJsKJBSctNNNyOsRvTC8wkNosnMz5N/ZsGCBQFM18H3FYJjjj2GWptv08OsRhunnnaqn1O59+wzz2KpaCDZGO/1e+ONMYRbTdx/3/0BSOa0cuVK4sOiXXaZ9YcMWxQz//gzYOcHSE5Lpc5h9em9tY6moE/dq6uro8lqJVrvfeGWZDBTWFYa9BHCRXPn0C/ct0JzQFw0ixfM93Mi1ywWC5dc+C9GxJs5aWC21+8PNxp45sRRPHDPXcwK8nYylVXVPo1oxkWGU14e/EIzIyOD4jLfRlKLyyvJyMjwcyJFUUKVKjSVA5aUcravX1pn18rPP//M2tVr0Tu8u3suhA5pMXHzTTdjtfp2ce+rIycciTT7doHdKBs4/PDD/ZzItSlTpvDhex8wUJ/t8158/Q1ZTP7+JyZNmuTndE579+4lzod1gt6I00ewc+v2gH4Ph93h8z9gOiFwOLxfQ9sVhYWFJEVG+fS5CNcb0CGorq4OQLKO2e12pk+fwaHJnm/F0trg+Bj25OWxd+9ePydrz2q1ctXllxFeXcL/HTnU5797fZLjePrEQ/j31VeyePFiP6fsmN1up77RQlSY9zd+osLM1ATxM9HCYDBgd/j2O9lud2A0+nbzQlGUA48qNBXlH6K+vp47/3snjkajTxdiBsIoL6vi/fffD0A613Jzc7EJ7xuSSCmpqa+hV69eAUjV3vLly7nlxpsZZupNWBdGC006IyOMfXjwvgcCMrJis9nQuVuY6wc6IbDbfWvU46m83XuI1vn2c47CRF5ecHc62rNnD0lm3wv8lMjooBRtLf766y+SzEayonxbx2vQ6TgiPZnvvv3Wz8naklJy2803UbdrC48dPxJ9F5tpjcxM5uFjRnDpRReyceNGP6V0rb6+nnCzCZ3O+7+TkWEmamu92y/UHyorK4mJ9O1zER0VQUVF8NeVKoqiDVVoKt2OECJHCPGAEOJ7IcQfzY8PCCGCU3GEqFdffZWmBjsG4dvFuRACR4OBZ555NqgXCiaTCYlvd8+lQwbl7nlRURH/Ou9fDNBnE2foesOkKEMEQ029ueryK9m5c2fXA7YSExODRQS2CGx02IiODdzWIQ6Hg5WrV5Fp9O17pFtNLF64yM+p3Nu5cyepwvfPYpopnB07dvgxkXufvP8eJ6bEdekcJ6cnMunjjwI6evzqyy+zfvF8njpxFEa93i/nHNMrnVsOH8AF555DZWWlX87pSl1dHeE+jGYChJuN1AdwPbcrmzZtIjvdt6nnOenJbNrkW8daRVEOPKrQVLoVIcQdwEacDX/OwLkm8wzgEWCjEOJ2rbJpqbCwkDfffBNp6VrRpRdGhN3Ak0886adkncvLy8PgxXrSFkIIwsPDKSjwfON2X93w7+tJlXGkmhP9ds5EYyzZuhSuvPwKv67Ny8zMpNpW77fzdaTa0UBun94BO//8+fOJxEiS3rdRlaHGZH767oeAj7q2tnHdOtKl73//0qWBLUHafqOwsJA5c+ZyXI/ULp1nUFwMJmsTc+bM8VOyttauXcubr7/K0xNHEW70bxP9kwf1ZGyPeO7+7x1+Pe/+amtrifSx0Iw0m6it9X0/WV/N/Ws2owb51kxr5KA+zP3rH7t6RVH+cVShqXQbQogLgOeAOuBRnEXmwObHR5uff04Icb5mITXy+OOPo7Ob0flQsLXTZOKrr79m165dXT+XB2bNmoVo9G2qZ5QpmvnzA9uQZNWqVaxauYpco/8bXPQ0pVOwu8CvU2hzc3MpravC4cM+n56qM9roN6B/wM7/4tPPcaj0vZlPhiGaKJuOH374wY+p3Fu3cjU9wyJ9fn+2IYw1y5b7MZFrX3z+ORMykonqYvEmhODUtAQ+evcdPyVr6+nHH+OqUf1Ii/HvNj0tbh47iNkzZwZ0Cm1JSQkJ0b59LuIiw6mqqQnqDZOamhrmzJ3LkaN96xx7xMFDWbJkKeXl5X5OpihKKFKFptKd3AFUACOllI80N/7Z1Pz4MHAwUAX8n5Yhg2337t389NNkhM0/XUZ1Qo/ObuaJx5/wy/ncaWpq4scffiRK59t0VKPFyKcff+rnVG399ddfJOvi0AnPfp2azWZ0Oh1mc+f/fwghSLBH8dfsv7oac5+IiAiS4hKosgduyl0FDfTvH5hCc8aMGWxeu55Dw3zfnkUIwXEik0cfeIi6usCPCEkpWb95E73CfJ9W3SssmrVr1/oxVceklHzx6SeclJ7kl/Md1yOVv+bM9XthUVpayvwFCzh9SI5fz9tamNHA6YOy+eKzwDTmAtixYwc9Er3fCgnAZDQQHxPctbtffvkFYw4aTHxMlE/vj4oMZ8JhI/jss8/8nExRlFCkCk2lOxkEfCOl7HCoTUq5A/gWGBzUVBp75ZVX0TtMHhdCntDbzfz2228Bn5b6ww8/YJBGwvTet/4HiDXEsmrVKjYHcMphY0MDwovBQavVyvfff+9x9149Ourq/Nvwo0+fPpTbAlNgSSkprq2gX79+fj93dXU1d9xyG2caemPo4ue5nymRbGs4jz70sH/CubF7927MOj1xBpPP58g0R1BQUkJNjW9b/Xhq9erVOBobGRTX9bXGAFFGA6NTE5kyZYpfztdi0aJFjMhOI8yLUVdvbvK0OCw7hflz/HejZ3+LFy5gcA/fp9wPyclgyZIlfkzkWkNDA2+8/jpXnXWCy2M8+RlfddYJvPPWm5o0MlIUJbhUoal0JzVAZSfHVADB7wevkfr6ev737bcejWZW2wvaPLojhA6DCOPTTwI3Wmi323nmqWeIsvo+3VAndMSIWJ5+6mk/JmvroJEjqTVaPD7eaDRy1llnedykqM5k4ZDRo32N16HBw4ZQbvfsIs/bi/MaRyOREZHExPi3GZCUkttuvJneTZEMMPtntO00Yy6Tv/2eadOm+eV8rixfvpy+kb6NWrXQCx25sQmsXLnSP6Fc+P3XXxmXFNtpZ2pvPhdj46P57acf/ZTQafv27WRHe3cDytubPAA5CdHs2hOYEUOr1cq0qVMZNzjX53OMH5DF5B++92Mq1955+20G985iWH/XeT35GQ/olcXoof15/bXXAhFTUZQQogpNpTuZBri81SqcV07HNx/3jzBz5kyMhjB0wj/dGFtzNOn56uuv/X7eFj///DN11XVE6n2botUiXh/PjBkz2LZtm5+StTVhwgRsejuVVs9GmiwWCw6HA4ul8+K01t5AubWak046qasx2xg4eBA1Rs+2jPH24rzMVkvfXP83Avrogw9ZNW8Rp5p8vyjfX6TOxIWmAdx03fUBnX44b9Zs+tH1qev9deEsmBfYNcezpk/jkITObxJ487kYlRzPwiVLsdm836bIlZKiIhLDvWuu5O1NHoC4cDO19Q0B2T/4hx9+ICc1gZxU3/YqBZh48AAWLFjg9+7U+9u1axdvvvkGd15xrtvjPP0Z/98VZ/Phhx+wdetWf8ZUFCXEqEJT6U7uBOKFEF8KIXq2fkEIkQ18AcQ1H/eP8PvvU2ms9f8FEoAeIyUlJRQWFvr93A6Hgycef4JoW7TPm6+30As9sSKW5559zk/p2jIYDNx2+3/YRbHfz73bUch11/2byEjfR3U7MnjwYMocnk2d9fbivNRWy4hRI7sSr53Vq1fz5KOPcbFxICY/3zTJNcVzhMjg8osuCUgxIaVkxvTpjIj0vZhoMSIslqk//+yHVB1rbGxk3abNDI7vvND05nMRbzaREhXBunXr/BETgJKiAhIivBvR9OYmTwshBPFRkZSUlHgb0a2GhgaeefIJrj+ha7MVIsPMXHjkQTzx2CN+Staew+Hg1ltu5qqzJ5KdkeL2WE9/xunJidzwr1O45aYbg9rMSFGU4FKFpnLAEkL82foL+Bzn1NnzgC1CiK1CiHlCiK3A1ubnq5qP+0dYMH8+euH7ujB3hBCEmyICsj5oxowZVJVXEaX3zzqxOH08v/76K/n5+X453/4uvfRSKm011PmxwY7F0USBpYzrrr/eb+dsMWDAAMrqq2hydD7C5O3FeYXRwshRB3c14j4NDQ1cecllnGbsTYrBs4Lb2+m+R5qzse8t59kATLFesGABBquNbHPXbxYMiowjLy8vYGuOV6xYQa+EOCIMna979PZzMTQ2ioULF3Y14j57du8mNTrcb+dzJy0umj179vj1nM8+/RQDMxI4pF92l8912TGjWLpoIdOnT/dDsvbef+896irLuPJM12szfXHxqccgbI28/rqaQqso3ZUqNJUD2YQOvoYDAjAAucDhzY+G5ueHNx/X7VksFvLy89HTtb0z3Wmst7Fi+Qq/n/f5Z58n0hrZ5dHMFgZhIFYfyxuvv+GX8+0vLCyME044npKmCr+ds9RayaGHjCY2tmtr+zpiNpsZ1H8A+dZKv55XSsnehjIOO+wwv53z2aeeJrlOx8Fh6R6/x9vpvjohOM/Yj4/e/9Cvo24ALz71DBPDk/3yWTYIHcdFpfLiM8/6IVl7s2fOZESAtgoZERPBrKlT/XIuKSWbtmwl18durd7qFR/p1y1O5s+fz9dffsHdZ0/wy/kizCYe/tex3H7bLZSWlvrlnC22bt3K888/xzO3X4le799LRp1Ox1P/uYI3X3+d9evX+/XciqKEBlVoKgcsKaXOxy//L1gMQRs2bCAiLMJvxVpHhNSzcOEiv55z1apVbNmyhVhDnF/PG0Msn3/+ecA6HaakpdIk/bcGzeqwkZzi+16RnTn+pInsdVT69ZxFtmoSEhPIyPDPnqKFhYV88tHHnGrwbl2mL2vxYvRmjjVk8dgDD3kb06UpU6awbf16jolzXyR7MwJ7alwPZv3xBwsWLPBXTMBZvE3+/jvGJsf79bwtDk1OYOHSJVRXd70X2/bt2wk3GUiM9K0btbcGJUaxZIF/1sZWVlZyw7+v5eF/HUdSjPtRbm8+F4f278lJB/Xl1ptuRErpl6wtU2Zv+Ncp5PRI88s595eZmsxtl5zJrTffpKbQKko3pApN5R9PCJEthDhC6xz+tmDBAhy2wBWZ4FynuXbtGr82+Xj5xZeJcnR9beb+TDoTkfooPv/M/zOnHQ4HM6ZOJ97gn6m+AHHGaObMmRuQdYMAE088kd2ywm8XpQA7bWWcdMrJfjvfpE8+5SBzKrF67xrp+LIWD+CwsB4sXbqU3bt3e/W+juzatYv/u/U2bkzojbGTrVi8GYGN0Bv4d0Iu1111tV/XDS5evJjG6mqGeLA+0xfRJiOHpCTxzddfdflcixYtYnhG4G7C7G94jyQWL+r6DTUpJf+59WaOGpzDEUM7b5jl7cj8TSePJX/HFj744P2uRgXgu+++o7GmiotOOcYv53Pl3IlHYJA2vvzyy4B+H0VRgk8VmooCVwAztQ7hbz/9NBl7U2C/h07oMRpMflunWVhYyIw/ZhBv8GxUxdu1eFH2SF577TW/3zl/++23qSquJMkY57dzxuqjMDTCM08/47dztjZ48GB0JgPldv/tp7lHVHHyqaf47XwzfpvKILreRMdTRqFngDmZ2bNnd+k85eXl/OusszkrMo0BEZ1P7/R2BPaQ6CTG6aO5+Lzzqavzz/9/Lz/7LOdkJqML4AyIczOTeeOVV2hq6tovpmVLFjE4yb8NstzJTYyhqLSUqqqqLp3nxx9/ZMPqldx22jiPjvf2c2E06Hnqkok8+/RT7NixoytRm7eXepI7rzzH71Nm96fT6bjrqnN55umnAnZjTVEUbahCU1G6oeLiYtauWYPBD1sqdMbaAF992fVRCoAPPviAWEMseg87i3p7xz9cF4G1wcoff/zRlZhtfPnFFzz/zHMMMvT06yisEIIB+mw++eAj3nzjTb+dt/X5J544kZ1N/lnTVWNvpNbWwKhRo/xyPoCi4iKS9IFZM+hKrFVPQUHne8m6Ul1dzTmnn8FQi56T4nt49B5fRmDPj88moaiKi887n8bGRl/jAs7RzHWrVnJKlufrYH0xNCGWTKOeTz/5pEvn2b55MzkebMHiL3qdjp7JCWzfvt3nc9TV1fHg/ffx8PnHYDZ23mwJfPtc5KQmcNlRB/PAfff4GhWA2bNnEx0RxiFD+3fpPJ4a1j+XHimJzJgxIyjfT1GU4FCFpqJ0Q5988glGXTiikyl7/qCXZn748QdqajzbR9IVh8PBpE8nESU9n37q7R1/IQRhTeG8/17Xp5ZJKXnu2ee4/577OdjUn0i9/ztghunNjDT15+XnXuT+++7H4XD49fwTjjmaYqN/OuXmNZVz2OjD0Ov9twTaZDRh8eO6V09YdRKzybdOzTU1NZx96mlklTdwSULPzt/QBTohuC4pF92OvC4Vm1JKHrn/Pi7vlY4pwCNXANfkZvDis892aa20pakJsyG4S+3NBr3XU7Fb+/jjjxjeM5URvTP9mKpjFx91MKtXrGDVqlU+n+Ov2bM5evRQP6bq3DGjhzF79qygfk9FUQJLFZqK0s00Njby9ttvI5s8u2veVTqhxyDMfPzxx106z4oVK7Bb7YR7UbD5csc/1hjL/PnzuzTl0Gq1csN11/Px2x8w2jyQKEPgRt0i9GEcYh7I5C9/4OILL6KhwX9bqAwfPpzixkq/nKuMekYddohfztVi2Ijh7PBzZ9zO7NU3MGz4cK/fV1dXx3lnnkV6aS1XJ/YKaBOuFnqh45akPti37OKKi33bB3T+/PkU7trFCZmBafayv36x0QyNi+KzSZN8Pkd6Rg/yq/w35dsT+RXVpKf7PuL76UcfcvGRI/wXyA2z0cB544bx8Ycf+HyOrVs307enZyPy/tInO4NtW7YE9XsqihJYqtBUlG7ms88+Q9p16EXgtjXZn6PRwCuvvNqlKXzz58/HbA98F0m90BMdHs3KlSt9en9TUxPnnn0ui2bMZ6SpP2FeNqrxhUlnZISpL1uWbODUk07xW+fcHj16UN1Yh0N2faS00eCgZ05O10O1cv7FF7JMX+bXhkXuFNhqKXc0MG6cZ2voWjgcDq676mqi88u4OjE3KEVmC73QcUtyX6rWbuKu2+/w+v0fvfsO5/RIQh/EzOf2SObDd97x+f3jjzqaObv9u42HOxuKyjGGhZGd7duel7t376a6uprhvfzTjdkTRw/rw8w//+zSOYL1907r76koSuCoQlNRupGmpiaee/Y57A3BnVamF0YcNvj00099PsfaNWvR24OT2+AwsMXHO+c3XHcDu9dtZ6ixNwYP15L6g17oGGzsRfXuci69+FK/XJDpdDoMegN2ul5o2oWDsDD/3ig4+uijMcZHs8pS5NfzuvK7fRc33HKTV9uiALz37rvsXr6a6xN7B7SZjitGoeO2pL789dvvfP/99169d9bsvxiflhSgZB0bFB9DdVWVz919zznnHFbklbK1pNK/wVz4YOlWrr72Op9vIGzcuJGB2elBvQHRKzWBsooKn29K9enTj6278/2cyr0tu/Po3bdvUL+noiiBpQpNRelGvv76a2xNDgzC+zVm3nZw3Z+jQc+LL7zoc0fJyopKj5sAdZXDJn3az2/FihXM+mMmQ4y9NCkohBAMNPZkw+p1zJo1q8vns1qt2O02DHT9526QOr/skdiaXq/n2Zdf4GfbDuodge1GubKxkMpI+Pd113n1vtraWp5/+hmuS+iFUafdP6kRegP/ju/FQ/fe63FX5fr6ehosFhLNvq1J9ZVOCDJionxuuhQVFcV9DzzI4zNXYw3w3ovTN+1hb6ODa6691udzVFVVERMR+JkPrQkhiI2K9LlT7jHHHsu0BSuCOsI4fcFKjjnm2KB9P0VRAk8VmorSTUgpeeGFF7E1+PbX2tsOrvvTCxPWJjuTJ0/26f0mkwnph5E1T+iEwORDw5f58+eTrPO8K24g6ISOBHtUl7fgAOeUvriIGL+MtIRb9ezetavL59nf2LFjOe3sM/nOuiVgF72V9kZ+tG7jnQ/f9/pGy9y5c+kVEUOWOXjbbbgyMCKOCIdgxYoVHh0fFhaGXqej3hbYYq0jFQ2NJCT4vnXNxZdcQka/Qbwyd50fU7W1s7yaZ2ev4a33PvD5Bhw4f86N1uA2tQJosDQRHu5bk7KxY8fSZIc5y9b4OVXHFq3eQFlVLUcffXRQvp+iKMGhCk1F6SYWLVpEdWU1enwbnfC2g2tHrPXw1ptv+fTe5NRkbDI4F7zCKHy6yM3IyKBOZ9F8HVGDwerzerHW1q9fT7LJ8y6/7iToIli5dLlfzrW/R554jNpEM/Mte/1+brt08IV1I9ffchMHH3yw1++vqKggQR/cEUF3Ek3hVFZWenSsTqdj1IgRLCwuD2yo/eyqqaNRSnr16uXzOXQ6HW++8y6Limr5ca1ne0YuveO8No/uVDc28X+/LOGhRx9lxIgRPucEyM7OZm9p1/bg9FZ1fSMOh4P4eM/2JN6fTqfjgQcf4pkPvsXSxX1PO9NktfHUe99w3wMPYjAEp4mdoijBoQpNRQHR/HVAmzz5Z2yN+Dw65UsH1/0ZCGPjxo0eX+i2lpWVhUMEZ0TTLuykpKR4/b5TTz2V6JRYdjT5vs/iKUnj2zx6a09jIY4IwQUXXOBzhhaLFy4ivsk/U/rSjLEsX+nZSJq3wsPD+eSLz5hu38Neq3+n50617CR1UG9uu/0/Pr2/T58+bGmo1vzmA4BNOthaU07v3r09fs9VN9zAF3uKsXm5dc6cUye0efTGF7sLueSyy7pcVMTGxvLFN9/y5sJNrMkv69K5WnNIyQPTlnPsKadx0cWXdPl8/fr1Y09RKfWNgS3YWlu7s4BBA/p3abbCySefzMAhw3j+o/95/J5Nv33c5tETr0z6gayc3px11lleJlQUJdSpQlNR4CXA91vrIWLJ4iUIqd2UTnAWuRHhkaxb5/10tuTkZHSm4NT7VoeV5ORkr99nMBj46puvqYlpYnPTHhxBLC6klGy35JFvruTb7//n85S41hbMnUeaIdYP6SBGF47VYmXvXv+POgL07t2bZ154ji+sG2nqZOT75ZQT2jy6sqWpjBX6Mt796AN0Pq6vHDVqFBGJ8cytDk7DInd+ryxg8OAhXo0UnnTSSST27Mm3O4PT+GVpSTnLq+u55TbfCvv99enTh1def4N7fl9KjZ8KuY+XbMYem8yjjz/hl/OFh4czfOgQFm/2rfmRL+Zv2sURRx3TpXMIIXjhxZeYvWw9k/+c76dkbU2du4Tf5i3nlddeC2qzJEVRgkMVmkq3IYTI9uArUwgR0/p9UsoqKaX/F5cFmcXSSGgMzOp82uYkJiYmaL+RbHab8/v5ICsri2kzphHfL4UV1s002H3f0sVTFkcTK61b0WdFMP2P6fT1Q2dGu93Oxi2bSTX69nPYnxCC9PB4n7eN8cRZZ5/NqPFjmNq0s8vnapJ2vrVu4dU33yApyfeuq0IIXn37LT6q3M1ei297O/4w6Og2j77Y3FDNd9V5PP/aK169TwjBa2+/w9d7illdHtjpnSUNFp5ct53X336HqKgov5134sSJHH/yKbw6f32Xz7WjrJovV23nrffe79Iygv2ddubZ/LYiOHtE2h0Opq3cwqmnndblc8XHx/PpZ5/z1PvfsHy9f/Ov2byDh9/8nE8+ndSlv4OKooQuVWgq3clOYEcnX7uACiFEnhDiNSFEt/nXrW/fvjhk8BtOtCalpMnaQG5urtfv9aU5j68cDkeXLiKTkpKY/MvPXHHj1SxqXM9eS1HApk7mW0pY0LCOsy49l6kzptGjh382Ud+zZw+RpnDMOvc/h1tTj2/z6E50k5FNGzf6JZ8rT7/wHEuthZTYfCvqWsy27OaQsYdz7LFd73J50EEH8cgTj/NE8UaKmxq6fD5v7W6s5dnijbz29lteTZtt0bNnT15/5x0eWr2F/LrA5K+32bhn1Wb+ffPNHHnkkX4//0OPPMrsbQXsqajp0nneW7qFm265lczMTD8lczr77LOZs24bZTVd+9x6Ys7a7aSlZTBo0CC/nG/QoEG88eZb3PLkW+zK98/IfV5RKTc+/jovvvQyw4cP98s5FUUJParQVLqTT4G/cA7rVQGzgW+aH6uan58N/ApYgRuBJUII7+dQhqBzzzsXY4TQdK2YDQvJKSnk5OR4/V5fpy76QiK7/P10Oh3/uf0/TPntF2qTHay2bqPJj1twWB021jXtoCiqhm+//5YHH3rQryMsxcXFRJsi/HY+gEhhIm9Pnl/Pub/k5GSu/ve1/GX3/fs0STtzmvJ48LFH/Jbrgosu4sb/u4OHi9ZTGMRic2djLY8WbeCxZ59h4sSJPp/n2GOP5Y577uHOlZuosPh3LaHN4eCh1Vs5+Kij/TZldn8xMTFcdOll/LDO98kplfUWFuwo4MqrrvJjMqf4+HjOPutMPv1zmd/P3ZqUkvemL+H6m2/x63mPPfZY7rz7Hq59+BUqqn3bm7NFTV09/374FW6+5TZOPvlkPyVUFCUUqUJT6U6eAoYDTwNZUsqjpZQXSCmPBrKAZ5tfvwPIBR4BegL3aJTXr4477jhS05KxyuCPqIDzAkcfZuPBBx/waa2N0WhEEpwi2W63+61oGzx4MLP+msXE805hYeM6yv3QrKbaVssiy3oOPXEc8xbMY9SoUX5I2paUEn8viQrWxO3Lrric5Y0F2KVvzaPWW0oYMniwTyPv7lx3w/Xces/dPFiwlt2NXbsY98Sm+ioeLVrPUy8+z7nndd5JtTNXX3MtZ150CXet3Ey9zT+zIxxS8tS67UT3G8ALr7wa0HV4p552GnN3lfj8/nk7Cxg/Zoxfp/W29p87/ssPC9eyt7TSo+PXvHlXm0dPTF22EZshjNNPP92XiG5dfvnlnHzq6dz29NtYffx82O0Obn/2XcYffazXe9YqinLgUYWm0p08DaySUt4rpWwzP0lKWSelvBtYDTwtpXRIKR8BVgKnBj+q/+n1et559x2EuQm7BlNoHcYGDj1sNKee6tuPMyEhAasfRwRdcUgHdrud6Gj/bOsBYDabefKpJ3nrvbdZY9vOXkuxz+cqtJSyvGkzT7/wDK+9/hqRkYHZnzE1NZUqH9cUulJHExk9Mvx6zo6kp6eTnppGns23aZI7RA3Hnuz76J87V11zNY88+zSPFK1na4N/O+S2trq2nGdKNvHGe+9yph+7dd77wAOMPOoYHli9FauXnWj3J6Xk9U27qIhL4oNPPg341hVDhgyhoKKK+ibffo9sLKlh1OFj/JzqbxkZGdxw40088e3MgMw8qapr4Pmf5vDsCy8GbIbIAw8+RERcEi99+oNP73/9i8nYDeE88cSTfk6mKEooUoWm0p0cAXTWGm8+0HqB0ELAv4txNDRs2DAeefQRMDcgfRzt8YWVBmLiI5yFro8jFn379qWmoQZ7gPfSbHQ0kJWZFZCL3uOPP56p06eSZyxjt6XQ6/fnW0rYKgr4cfJPnH322X7P11rPnj1xCEmVrd5v5yzS13PwIf4ffe1I3z59KbX7lr1Cb6V///5+TvS3c887j5ffepMnizayob7S7+dfVlPKy+Xb+PiLzznuuOP8em4hBC+88grx/QfxzLrtXSqIvtmZzyobfPHtt37pktwZo9FIdo8M9lT6Npq8u6YhoJ8LgBtvupkaaeTrOSv9el4pJY998wennXEWhx56qF/P3Zper+fNt97m1zlLWbDCu+ZLS9du5rvpc3nn3ffUfpmK8g+hCk2lOzEDaZ0ck958XItaQNsOOn52xRVXcOZZZyDDGoOyXtMmLejCbHz3/XfExvq+VUZERASjDxlNtc3zzpdDooe2efREnajj7HMCV8T17duXX6f+Rr6hnAJLqcfvK22qYKvMZ/KUyUFpjiGE4JxzzmG91fuCuCMl1hrqpIXx433bH9RbCUmJ1Ps4At4gbcTFxfk30H5OPPFE3vrwfZ4r2czGev91c11WU8YbFTv44ttvGDMmMKNver2edz/6iMKIaD7f7tta2AVFZXybX8Y3P/wY8J91a7169WJPhY+FZkWNV1vD+MJoNPLO+x/w1m8LWbfL9/149/fVXyvYXd3EAw895LdzupKYmMjzL7zIQ29MwtLk2XreJquNh96YxJNPP0NqamqAEyqKEipUoal0J6uA84UQQzp6UQgxDDgP53TZFjmA74t6QtRzzz/HwEH9cRgCu/WGQ9qRpkY+/PADv2y5ceddd1Klq8YRoNFYi8NCrazl8isuD8j5W+Tk5PDVt1+zybabWnvna2Yb7RbWWnfyyaRPGDhwYECztXbTrbewwVZAtQcZ3ZFSstC+k//ccXvQRiqE8P2fLwlB2bPvmGOO4a0P3ufZ4o1sb+haN1SANXUVvFGxnS++/SYg63Zbi4iIYNJXX/NDQRkryyq9em9xQyNPr9/Bh5Mm+a1Lsqf6DxrCtjLvpyw3Wm2UVNbQs2fPAKRqq3fv3jz34kvc/uEUv3ShXbZ1D+9OW8LHn34WlJFjcM7e6D9wMF/+Msuj47+b9hcZmdk+L61QFOXApApNpTt5FAjH2Un2PSHE5UKIE5sf3wcWAWHAYwBCiHDgeGCeZokDxGAwMOmzTwmL0mOVnhWbMfr0No+dkVJCWCO33HIzRx/t+/5/rY0ZM4bjjj+WUkr9PhrrkA5KRDH33XdfUO6oDx8+nLvvvYcNtl1u/1uklGyy7+Gaf1/DuHHjAp6rtczMTG657Tb+bNrcpeJ+tWUv5pQYrrrmaj+mc89qbULvY7GoFwKrNfDrgcFZbL7w+ms8WbyRgibfpylva6jhpdItfPTZpIAXmS3S09N58bXXeHr9Dix2z6e0v7BxF1f/+9+MHj06gOk6NnLUKNaVeV+8rS0sZ2C/PkHbZum0007j/Isu4Y4Pf8Fq8325QEF5NXd+/Cuvv/W235tbdeae++7jg++n0tTJmlib3c67//ud+x54MCg3eBRFCR2q0FS6DSnlVOAioBG4CvgAmNL8eGXz85c2HwdgAs4HHgh+2sBLTEzk/Q/eB7MlIOs1baKB3n1zuf2O2/163pdfeZmY1GjKHeV+O6eUkhKKGT9hPFcHsRi65tprSMxIIs9Nc6BiawVE6fm///5f0HK1dsutt5A1qDfzLdt9en9eUzkr7Hv55PNJQV13pdPpfO5RLGVwt9M59dRTufuhB3iiaCPVNu+3DiluauDp4o288NqrjB07NgAJXTvhhBMYMnIk33s4zXNpSQV5drj1dv/+XvDUuHHjWLWnkFqLdzcS5uws4pgTAtMgypW777mXpKxcnvpupk/vb2iyctv7P3PDzbdyzDHH+Dld54YMGcKAgQP4be4St8f9sWA5mZlZjBw5MkjJFEUJFarQVLoVKeVXOLcyuQR4CfgQeBm4FMiWUn7R6tgqKeVUKeVODaIGxbhx4zj22GNx6P07hVZKB9LYxBtvvO73C/aIiAh+/OlHRCyU27tebEopKZbF9B3al7ffeTuod9R1Oh1PPfs0uyjG0cGoppSS3RTx2JOPB20kZX86nY6PP/uU8hg7qxr3ePXeClsd0y0bee/DDwK+tm1/0bHRNPrYXbnRYSUiwr97iHbm8iuu4MyLLuD50i1Yvbjx0+Cw8UzJZm6+43bNph3+9977+GFvMXYPZhl8n1/KbXfeqdnnOSYmhvFjxzB9026P32OzO5i6aS9nnhXYBlz70+l0vPXueyzfVcoPC1Z79V4pJU988ycDRozkhhtvDFDCzl12+ZV8N919D77vZsznsiuuDFIiRVFCiSo0lW5HSlkrpfxcSvl/UsprpJR3SCk/k1J2fZHUAeihhx7ErvPvqKZd18gJJ5wQsA6Nqamp/Pb7bxArKbOX+XweKSXFFNF7SC5fff2VJhe/Y8aMIS0jnRJrRbvXKm01GCJMnHjiiUHP1VpsbCz/+/F71uqK2dLoWXOgOruFXxrX8sgTj3HUUUcFOGF7PXNzqdB7P/3VISWlDdVkZ2cHIJV7DzzyMClDBjCpfKdHx0spebtsO6OOOZLrb9KumBg+fDjR8QlsqHC/9rHeZmNZUSlnnHFGcIK5cOW11/HN2j0eT7+fsXkPffv1o1+/fgFO1l50dDSffPY5L0+ex44iz3/XTVm8nvWFVbz4cmD3Ju3MCSecwKYde8gv7jh7SXklK9Zv4ZRTTglyMkVRQoEqNJVuQwhxgxAiTuscoaZnz54cPmaMx2s1OyOlBJONW2+9xS/ncyUjI4Op06ZiiNf7VGw6pINiihgwYgDf/i842yu4csnll1Am2l+kFzsquOCiC4I6jdOV7OxsvvnuW+badlDQVOn2WKu08ZtlPVdedw0XXXxxcALuZ/To0eyQ3jd92WurJjU5JaidUFvodDre+fADlssGltR03pH4j6pCiqPNPP/yy5qvbTvy6KNYVe6+e+66imqGDhxAVFRUkFJ1bMKECRijYpi3o/ObJlJKPl25g5tu02aqL0D//v256977uP+zaTgcnRfHJVW1PP/jbN55/4OA7bPrKbPZzKmnnsKUWYs6fP23OUs44fjjgz6DQFGU0KD91Y2i+M/rQIEQ4hshxMmiK20pu5nLLrsUc5TeL+eyYyUhIYGhQz3fUsRXaWlp/D7td4yJBsq9KDZb1mQOPngwX339FWFhYQFM2bmxY8dS5Wi/5UKdwcK4IG0H4omhQ4fy1rtvM7VxA3V2S4fHSCmZbdnK6KPG8N+77gxywr8NHTqUJj3stXpXbK60l3DyaacFKFXnYmNjeev993infDt1dtcjsmVWC59X7ubdjz/S9CZJiyHDR7Czyf1U5e3VdQweFviteTojhOCWO/6PT1Z2vu543o5C9JHRft+P1FuXX345ptgEj6bQvjR5LhdfellQfgd74uxzzuWXOR2v05wyewnnnHd+kBMpihIq1IW40p3cA+wAzgEmA3lCiOebtzX5R5swYQINllq/TJ+VOiunnRa8tWIpKSn88usvOKIdVNoqPXpPqSwld1Aun33+mWZrxVrLzMykprF9J8x6a2PQt3/ozPHHH89lV13ObOvWDqcebmospD5G8PJr2k7Z0+v1XHH1lcx1eL4XYb3DylJrIZddeXnggnng8MMPZ+LJJ/Nt5V6Xx3xetYfLr7wyqNvduJOTk0NBo/upygVNNnI1mH7akdNPP53iBivrCt2v8/5yzU5uuu12zUeMdTodjz3xFO9OW+y2C+2OojLmb9zJf26/I4jp3Dv88MOpqq1n8862n+dd+UXkF5dxxBFHaJRMURStqUJT6TaklM9IKQcBo4G3ACNwO7BCCLFcCHGLECJJ05AaiYyMpF/fftjp+pYO5giD37Yz8VRaWhrf//A9lboKGuzut4iotFVgjjfx5VdfYjabg5TQPSGEywtZrS9wO3L3vffQFKVjZ1Pb6Z1WaWORbRdvvfdOSEyFu/a669hoL6fQ1n60uCOzm/YwceJEcnJyAhvMA3c/cD8zq4uo7KALbZ6lnpUNldzq547OXZGVlUVBjfufc5HNTlZWVpASuWcwGLjiqmv4ab3rBld7K2vZUlKl+ZrSFqNGjSKrZw6z1mx1eczXc1dz2eVXaD49uTWdTseZZ57FL7MXt3n+l9mLOPW0U4PajVpRlNCiCk2l25FSLpVS3gSk4xzdnAIMxtl9Nk8I8aN26bQz/ojxOLpYaEopqWuo0aRNfd++fXnm2WcoFa732LQ6rJRTzmdffEZ0dHSQE7pWXFxMhLn99Mdwg5niYtdbn2jFaDRy/8MPspaiNs9vaihk5KiRHHzwwRolaysmJobb/3sHP9t3dNr4pczewAJbPvc+FBq7GaWlpXHyySfzR1X7dYTTaou49LJLQ6qYyMjIoLqxkXqb6+mze2rqg9592J2zzj6bP7fs7bDjM8DMLXmccuqpITHrocW/LrqE31d2XGg6HJLfl23k/H9dEORUnTvjzDOZOn9Zm+emzV/B6WecqVEiRVFCgSo0lW5LSmmVUn4vpTwd6AE82PySNnsEaGzkyJGERXbtgsqBjYT4BM2KuHPPPZdevXu5nEJbSSUXXXRRyEw3bLFlyxaije2bdoSLMLZudT16oaWJEydS1FhBg+PvEbc9hmouuuwSDVO1d/U119AYY2RNk/uCfYptB9ffeGNITVW+8LJLWdDUtsGOQ0rm1ZZygUZNllzR6/X069WLLVUdj2rWWW0U1dTQp0+fICdzLSsri7jYWLaXdbyOd2VJDUceFdzZGZ05+uijWbxxZ4c3TrYWlBIVFU1ubq4GydwbPnw49Y1N7Mxz3jgpKCmjqKyCQw89VONkiqJoSRWaSrcmnI4HXgHuxjmd1n/7fBxABg0ahM3h/WbxrTmkjYGDBvkpkfeEENx2+200mds3qpFSUmWr5EYNt4FwZdOmTZit7ZsxmSw61q9br0GizoWFhZGbk0t5q2mpJU3VHHTQQRqmas9oNPL8qy/zs20HVtnx2raNllJKw+3cHOBOyd465JBDKLc2Umr9uyP0jsZaYmJj6d27t4bJOjbmyAksd9F5dmVZJQcNHYrRaAxyKvf69+/HrvKOd7baWV4dcjelMjIyMJnNFJS3L4437ili5MjQ+vvXQqfTMX7cOBav3gjA4jWbGHP44ej1/mlCpyjKgUkVmkq3JIQYKIR4GtgD/AZcAOQBDwChdzs4CHr37k1TU9f20xQGyejRh/gxlfeOPPJIKmor2t3xb3Q0kpSUFFIjVi22b92GydH+Ajxcb2b71m0aJPJMXGwsllbFW6PVosm2IJ0ZN24cBx1yMHMa26/Hc0jJL45dPPb0kyGzZreFXq/nsNGHsrauct9za+srOGLCkdqFcmPiSScxr7zjEc05ZdVM1LCbryupaelU1He8tVN5TR3JyclBTtS53r1y2F3Sft/d3SUV5PYNzN7F/nDQwaPYsMPZEGjDtj2MGBkaU+wVRdGOKjSVbkMIkSCEuFEIsRhYC9wJRAEfAOOklP2llE9IKV13h+jG9Ho9AwYMxIbvo5rGMB2HHXaYH1N5LyoqivDwcGyy7Voxq7SS2SNTo1TuVVVVYxTt7+wbhIGaThqsaKm2rg5jq12CjHojtbWhmffBxx/lL1seTfuNaq6xFBObnsxJJ52kUTL3DjtyPFtsfze42koTh44bq2Ei1w477DAq7Xa2Vzs/A3NOnQBAg83O3MJSzjzzLA3TdcwcHo7F3vFIt8VqDbmbDwCpqWmUVrfvUl1WZyEtLU2DRJ7Jyckhr9jZ5Te/pDwkmm4piqItVWgq3UkB8CowEpgBXASkSSmvlVLO1zRZiDjzrDPQmzrfELwjDmmnydoYEmtudLoOfnVJ0BtCc5pWVGQktg6mddqlnYgI7fdIdGXXnt3E6v/uLpsQFs327Z3vTaiF/v37c9DIkaxobNtcZ6GumNvuvCMku/uCc+30dnsDPwxyrhXcUl+lSbMtT+j1ei68+BIm55W0ef7P/GJGHTyS9PR0jZK5JwjN/+9diYmLpa6x/Q3B2kYrMTExGiTyTGRkJA2NzmUNdY0WIiPbr0tXFOWfRRWaSneyA7gP6CmlPEFK+aWUsuM5U/9Q5513HjbZiMPFWjZ3pN7Ceeedp3mHRikldfV16PcbIdQLHZWVldqE6sSAwQNp1P/d8feUpPEA1DkaGDAotNaItcjPz8dqaSJaF7bvuURHOMuWLnPzLm1dfOVlrDFU7vtzlb2RvKZqJk6cqF2oTgwdOpSd1RVYHQ4qbU3U26wh1bl1f5defjnT84tpaLXX4+SiCq687noNU7kmEC67zkoZmtsLhUdE0mht3yHcYrOFxLZCrtTX1xNmdv77EG420dio/vlVlH86VWgq3YaUcoCU8mkpZZ7WWUJVSkoKF110EZi8mz7rkDYc+iZuD4F9/SorK9Hr9OhE219fBp2RkpISF+/S1rhx46iQNe3WlVYbGxl/xHiNUrk3b948MsMT21yIpxLFzOl/aJjKvQkTJrC1thhb8zrkrdZyDh99aEhOj2wRGRlJdkYGuyy1bGuoZtigQR2P2IeIzMxMRo8axTsbt/PL7gK+3LabCpuDY445RutoHQqPjMBia39jzeZw4HA4NL9x1hGz2Yylqf02MharPSTztsjPzyc53jnimhwfQ16e+qdYUf7p1C66SrcjhEgHjsG5pUlHV5hSSvlYcFOFjnvvu5effvqJuopGjCKs0+OllBBm4b//918yMjKCkNC94uJiwjvYk9IgDCE7ojl8+HD0ZiPVtjpiDc69EevtjdRY6xg/PjQLzT+n/0GqLQJaXddmmhKYtHIhVqs15LqLgnNfzZTEZEqbnGseC2Q9hxymbfMqTxw0ciTz/1pKncPOQaeernWcTt33yKO8/dpr7MB54+TZu84I2e6iSckprGlsPzpYUW8hLiY6JIt6c1g41R0Ux002e0jfNFm/fh19spxrSPtkpbFh/TqNEymKojVVaCrdihDiEZzbmLT+bAtA7ve/vSo0hRCZwKPARCAR53rQH4FHpJTt2wO6Pk8Czv08zwDSgTLgd+BBKeVebzL5KiYmho8/+Zhzzz0Ph8WATrj/NeAwNjJs2GBuvDE0tg2pq6vDoDO026RGhw6r1YrD4Qi5i0chBBddfCFfvfs5SdZYAMrt1Zx5zpkhO0Ixb+5cjjG13WIjXGciISyGVatWMWrUKI2SudcjPZ2K7Q0AVBvsZGVna5yoc6edczYvbd4CQjAxRJsWtTZkyBBef+cdrWN4pG/fvvxc1dDu+W2lVfTJDc0pyuHh4RR3UGg2NlkJC+v85qBWli1ZzJ2XOjsPD+vfm69f/1zjRIqiaE0Vmkq3IYS4COf2JX8CbwDfAR8D04AJwFXAt4BXV0hCiN7AfCAF+AnYCIwGbgUmCiHGSinLPDhPYvN5+jVn/AoYAFwBnCyEOFxKGZROK4ceeigPPHA/Tzz2JNISiWiehhqjb9vMw0oDsfHhfDrp05Ap3kwmE44OtmiRSHQ6XUiuuQK45tprKS+roMnibJahNxhCYipyR0pLS6mqriIhtn0zj2QiWbZsWcgWmjGxsVhkKQBNwkFUVJTGiTp3/PHHc/zxx2sdo1saNWoU6/YW0WSzYzLoWXrHeQCsyC/j0LFHaZyuY9HR0dQ3tS806xotIdsMqLa2li1btzO0n7N4H5CbRV5+PhUVFcTHx2ucTlEUrahCU+lOrgf2AhOllLbmgmOnlPIr4CshxA/AL8CXXp73TZxF5i1SytdanhRCvAj8B3gCuM6D8zyJs8h8UUp5R6vz3AK80vx9gta15JprrmHN6jX8/NOvYAlvV6DZZBO6cCvff/9rSO2dmJ6eTl1jHdIk22S2SisJ8QkhW2gmJyfz/IvPax3DI1u2bCElIr7Dn2Wcw8yGtes1SOUZg8GAo3kCg0M4/6z8c8XGxjJ44EAW7y5iXO7fU//n7C7lxftCs0lUQkICFXXtG+lUVNeSkJCgQaLOrVixggF9emJunqFhNBgY2r83S5cu5bjjjtM4naIoWgmNIQpF8Y+hwK9Sttlgcd/CISnlVGAq8F9PT9g8mnk8sBPnKGlrDwF1wCVCCLd93IUQUcAlzcc/vN/LrwO7gBOEELmeZvOH5194nl69s7HrGpBS7vtySDuYG3jrrbfo27dvMCN1KjExkajIKJqks6HRkOihADTY6xk8ZLCW0bqNwsJCIkXHa8EidWby9gRllrdP2jRcav48K/9sp59zDtO3Fe378/ayKqoarSE7Kp+WlkZxVdv9ahubrNRbLCE7Orhy5UqG9O7Z5rkhfbJZuXKlNoEURQkJqtBUuhMjzjWPLRqA2P2OWQsM9+KcLXOrpknZdr6mlLIGmAdEAId1cp7DgHBgXvP7Wp/HgbMAbv39gsJkMvHppE8xR+uolcX7vupkKRdfcgknnnhiMON4bMJRE6ixtfkxYjVaOenk0F/fdiCw2Wwu/3HQCx3WJu+6FgeTw+HYt2+iTghVaCqcccaZ/LV1L41W5z3IqZv2ctY554RsA6OcnBx2F5a2+ezuKa0kKyM9ZJYw7G/H9m3k9Ehp81yvHmls37ZVo0SKooQCNadI6U4KcDbYabEbGLbfMRlA+77xrvVvftzs4vUtOEc8+wHu9n3w5Dw0n6dDQohrgWsBsv3Y4CQzM5PNm13FCk3nnHsOs2bM2tfiySEdVFmrOPnkkzXN1V3ExsZiER3vtdrosBKfmN7ha6FAr9f/PXVWypCdSq0ET0pKCoeMGsX5n8/EbDJSVFnNz0+81vkbNZKcnAxCUFpdt++5bfml9O/f3827tFVZUUF8Vk6b5+Jioqiu2qFNIEVRQoIqNJXuZAUwpNWf/wSuFUJcAnyPsyHQOThHIT3VMiJa5eL1lufjAn0eKeW7wLsAo0aN+kcP0xx55JFYHVZKmorRCR0Wh4VhI4aRkpLS+ZuVTvXu3ZsyS82+fyFuTf27UU2lbGDcwAEaJetcRGQkVmnn5ZQTeNu2lshIt7PalX+IDz+dxN69zinfERERZGVlaZzINSEEQwYPYsOeIta8eRcA6/eWMPSgIzRO5poQAulwTvrZ9NvHAPv+rCjKP5cqNJXuZArwphCil5RyB/A0cD7OzrMfNx9jBe7XJJ3iN0ajkVdefYWZM2fue+6yyy/TMFH30qtXLywOK7X2RqL0bbdTKDU0MOqQ0FzbBpCQkkS+Yy0A9famkGpkpWgnMjIypEcE9zdq9KGs3rKMI4Y4txhas6eY/141UuNUriWlpFBS0fY+aklFFUnJ6uafovyTqUJT6TaklB/zd0GJlHKPEOIQ4A6gN86GPm9KKdd4cdqWfzn3X+vJfs9XBuk8SrNTTj2FU049ResY3ZJOp+PI8UewY/5Ohkb8PfLT6LCSX1fG2LFjNUznXo+sTDbpnbPjyxtrSUtL0ziRonjvkNGH8tqM3wCw2uys35EXss2LAAYMGMjimb+1eW7L7gL6HzxOo0SKooSC0FxVrih+IqXcIaW8SUp5opTyei+LTIBNzY+u1k62tGTtbJGjv86jKEFx9vnnsstQ3ea5rZYijhg7noiICI1Sda5nz55UGmzUO6w4kCG7HYSiuDN69GjWbN+D1W5n3e5CeuVkh+wemuDcr3T5ui1tnlu+YSujR4/WKJGiKKFAFZqK4l7L3MzjhRBt/r4IIaKBsUA9sLCT8yzE2QV3bPP7Wp9Hh7OhUOvvpyiaOu644yhqrKTEWkOtvZFaeyM7dBX865ILtY7mVm5uLgVNNWxsKqVnj0zVDEg5IMXFxZHZI4MFG3Yyb/12Dj18jNaR3Bo8eDCVNbXszi/GarNRVFpBflEpw4d70+RdUZTuRk2dVRQ3pJTbhBDTcBaCNwKtWxU+AkQC70gp97UHFEIMaH7vxlbnqRVCTMLZNfZhnNN5W9wE5ABTpZTbA/NfoijeCQsL46qrrmTSpM+guQFtWmpqyG++npubS4+cLOZVVnHmaWdrHUdRfHba6WfwxGefAfDiK7donMY9nU7Hqaeewon/vmffc+ecdRZGo1HDVIqiaE2oPcYUxT0hRG9gPpAC/ARsAA7FueflZmCMlLKs1fESQEop9jtPYvN5+uHsiLsYGAicDhQ3n2ebJ5lGjRolly5d2rX/MEVRFEU5QAghlkkpQ3ehqqIo7aips4rSiebibxTORkOH8ndzoVeAw1oXmZ2cpww4HHgV6NN8nkOBj4CDPS0yFUVRFEVRFCXUqamziuIBKeUe4AoPj3W5KExKWQ7c2vylKIqiKIqiKN2SGtFUFEVRFEVRFEVR/EoVmoqiKIqiKIqiKIpfqUJTURRFURRFURRF8SvVdVZRDkBCiBJgVwBOnQSUBuC8gaQyB96BlhcOvMwHWl5QmYPhQMsLgcvcU0qZHIDzKooSIKrQVBRlHyHE0gOtfbzKHHgHWl448DIfaHlBZQ6GAy0vHJiZFUUJDDV1VlEURVEURVEURfErVWgqiqIoiqIoiqIofqUKTUVRWntX6wA+UJkD70DLCwde5gMtL6jMwXCg5YUDM7OiKAGg1mgqiqIoiqIoiqIofqVGNBVFURRFURRFURS/UoWmoiiKoiiKoiiK4leq0FQURVEURVEURVH8ShWaiqIoiqIoiqIoil+pQlNRFEVRFEVRFEXxK1VoKoqiKIqiKIqiKH6lCk1FURRFURRFURTFr1ShqSiKoiiKoiiKoviVKjQVRVEURVEURVEUv1KFpqIoiqIoiqIoiuJXqtBUFEVRFEVRFEVR/EoVmoqiKIqiKIqiKIpfqUJTURRFURRFURRF8StVaCqKoiiKoiiKoih+pQpNRVEURVEURVEUxa9UoakoiqIoiqIoiqL4lSo0FUVRFEVRFEVRFL9ShaaiKIqiKIqiKIriV6rQVBRFURRFURRFUfxKFZqKoiiKoiiKoiiKX6lCU1EURVEURVEURfErVWgqiqIoiqIoiqIofqUKTUVRFEVRFEVRFMWvVKGpKIqiKIqiKIqi+JUqNBVFURRFURRFURS/MmgdQFEU7yUlJcmcnBytYyiKoihKUCxbtqxUSpmsdQ5FUTynCk1FOQDl5OSwdOlSrWMoiqIoSlAIIXZpnUFRFO+oqbOKoiiKoiiKoiiKX6lCU1EURVEURVEURfErNXVWOSAIIQYAA4EoKeUkrfMoiqIoiqIoiuKaGtFUQpoQYoQQYimwDvgf8HGr144UQtQLIU7VKp+iKIqiKIqiKO2pEU0lZAkh+gGzAD3wCtAPOLHVIX8B5cA5wM/BzqcoiqIcGObNm0dZWdm+P48bN46EhAQNEymKonR/qtBUQtlDgAkYJaVcL4R4iFaFppRSCiEWAIdoFVBRFEUJbRs2bODyiy9iVE46ACXVdfwyYhTvfPChxskURVG6N1VoKqHsGOB7KeV6N8fsAY4LUh5FURTlAPPN119x+uCe3DxuCACV9RbO+GQatbW1REVFaZxOURSl+1JrNJVQFg/s7eQYgXPUU1EURVHa+eWnnzi2b8a+P8dFmBmWmcLMmTM1TKUoitL9qUJTCWVFQJ9OjhmMc1TTK0KITCHEh0KIfCGERQixUwjxshAi3svzjBNC/NT8/kYhxG4hxK9CiIkujjcJIe4UQqxqbmRULYSYK4Q4z9v/BkVRFMW9wsJCyisr6J/S9lf7wamxzJvzl0apFEVR/hnU1FkllP0JXCCE6C+l3LT/i0KIQ3BOr33Dm5MKIXoD84EU4CdgIzAauBWYKIQYK6Usc3OKlvNcD7wJ1AE/4Bx9zQTOAk4UQtwvpXyi1fEmYCowAdgJfITzZs9JwNdCiCFSyge9+W9RlECbPXs2W7ZswWQyccEFF2A0GrWOpCge2759O7kpCeiEaPN876QYftqyWaNUiqIo/wyq0FRC2VPAucBfQoiHgQwAIcRg4AiczYJqgOe9PO+bOIvMW6SUr7U8KYR4EfgP8ARwnbsTCCGMzfkagYNbF8JCiCeBFcB9QojnpZSW5pduxFlkLgCOk1LWNR8fhbO77v1CiMlSyqVe/vcoSsDc+O/rSbFGsMdWTv/+/Tn00EO1jqSEAIvFQmNjI0ajkYiICK3juFRfX0+44e9LnVEvfMPSO84jzGigrq5Cw2SKoijdn5o6q4Ss5uLtbJxrMF8Hrsa5JnM1zlFME3CWlHK3p+dsHs08HueI4v4joQ/hHJ28RAgR2cmpEoBYYPP+o61Syg3AZiAcaN1p4szmxydaiszm42uBx5v/227w9L9FUQKtoqKCqppqjgrrR44piTVr1mgdSQkRR40fx/DBg+nfry81NTVax3EpMTGRsvrGds9X1FtITEzUIFH3ds3VV3HEuDFcdsnFWkdRFCUEqEJTCWlSyt+BXsDtwDfADOB74L9AHynln16e8qjmx2lSSsd+36sGmAdEAId1cp5ioAToJ4To2/qF5v0/+wIr95uCm9b8uL2D87U8d0yn/wWKEiSbNm0iJTIeIQSxdhPr1qzVOpISAmpqatibl88vxx1G38T4kL4BMWDAAHaXlNNotbV5fn1xJcNGjtIoVffU2NjIb7/9zhM3XcTMWbOpra3VOpKiKBpThaYSsoQQDwohLpFSVkopX5FSXiClPF5Kea6U8gUpZbkPp+3f/Ohqcc6W5sd+7k4ipZQ4p8LqgGVCiE+EEE8JIT4FlgHrcE77ba20+bFXB6fMbX7MFkKEu/veihIs+fn5RAszANG6cHbv2KVxIiUUrFu3jt6J8eiFoE9EGGvXhu4NiPDwcEYOH8bCnUX7npNSMm93Kccce6yGybqfbdu2kZWRxuA+OeRm92DzZrUGVlH+6VShqYSy+4Ghfj5nbPNjlYvXW56P6+xEUspvgaOBSuBS4G7gEpzTbz+i/cjlL82P97UuJpun6d7b6rgOv7cQ4lohxFIhxNKSkpLO4ilKl9XU1GB06HilaBomnSGkp0gqwbNp0yZyIsIA6BlmZGMIF5oAp59zHtO2/11obi6ppAkdI0aM0C5UN7Rt2zZ6ZTon7vTKTGPbtm0aJ1IURWuq0FRCWR4Qo3UIV4QQF+OcyjsHGIhzyu1A4A+ca0q/2u8trwCrgDHAOiHE60KIN3COfibzd5HroANSynellKOklKOSk5P9/Z+jKO3odDpkc7NOKSV6vfonQ4FtmzeTadIDkBUZwdZNGzVO5N4ZZ5zB/O151FqaAPh1Ux7nnH8+Yr9OtErX7Ny5k6xU57rXzJQEduzYoXEiRVG0pq4alFD2A3Csn6eSthRzsS5eb3m+0t1JmtdhfoizSLxESrlRStkgpdyIc1RzGXCuEGJCy3uam/6Mw9mt1gZcA5wP/NX8vL75eV+mBCuK3yUkJNCkswPQKK0kJCRonKh7qq2tZeXKlaxcuZLGxvaNa0LNru3bSI8IY/zPs0iPCGNvXp7WkdyKj49n7OGHMWtrPgDTN+/lvPP/pXGq7ic/P4+0pHj6n3g56ckJ5Oft1TqSoigaU4WmEsoeAiqAH4UQQ/x0zpYOsa7WYLY09ulsccnxgBGY3UFTIQfO4hHg4P1eq5VS3iul7CelNEspk6SUlwJmnB1qV0kprR7+tyhKQGVmZlJtbwCg2t5Arz69NU7UPb34/PNcdMZZ/Ov0M/noo4+0jtOpvXv2kBLmXLubEm6msKwcu92ucSr3Tj3zbObscfZmi46NpW/fvp28Q/FWcWEhyfHOe7VJ8bEUFxVqnEhRFK2pQlMJZauAdOBYYJUQok4IsUMIsX2/L28WgsxsfjxeCNHm8y+EiAbGAvXAwk7OY25+dDWHteX5Jg9zXdr8+IWHxytKwPXu3ZuS2koAao02+g3o7/4Nik+WL1zENQm9uCAukxULF2kdp1O78/LoEemcaGLW64mPCKegoEDjVO4dccQRLN/tLHyOmHBUJ0crviguLiIx3rnaJSkuBtVLQFEUVWgqoUwHWIHdzV/Fzc+L/b48/hxLKbcB04AcnF1jW3sEiAQmtd7nUggxQAgxYL9j5zQ/niOEGNb6BSHECOAcQAJ/7vdauzWnQojjgLuAbcA7nv63KEqgRUVFERvt/MhW0UifPn00TtS5N19/g4z0dDLS0+mb2/uAWCe2aetWcsKiyDFHsW7dOq3juFVQUICQkjiTcd9zuXExrF+/XsNUnUtPT4fme4tDh4/QNowHNm/ezFdffdXmq7w8tFdVFBQUkpoYD0BqUjz5BWpEU1H+6QxaB1AUV6SUOQE69Q3AfOBVIcQxwAbgUJx7bG4G7tvv+A3Nj/s6R0gpFwshPgKuAJYIIX4AduEsYM8ATMDLUsr9rxo3CiFWAxuBRmAkzhHbQuD01gWu0v2sXbuWWbNmAXDYYYcxalTo7+OXlZlFSUUZ5Y019OrV0c48ocNms/Hma69zc/Qo0g1R/GrZzicffszDjz2idTSXamtrqa2vJ9FgJlJnYPeOfKSUIduoZt68eQxNSmiTb1CEib9mzeT444/XMFnn0pKTqaiuIS0trfODNVRfX8+5Z5/JiJ5pGA3OpkuF5VX8/usUPv70M43TdayhoYGikhJ6pCYBkJoYT21tHdXV1cTEhGxPP0VRAkwVmso/jpRymxBiFPAoMBE4CSjA2RX2ESllhYenugrnWszLgROAaKAamAu8J6Xcv+sswOfN33MMzjWeu4BngWd93BdUOYA8dP+DbFu+CZ3Q8X3Od/w5e2bnb9JYSmoKrIGaxjpCvdvxr7/+SozdQLbZuU5sjCGDNz77jP/efSeRkZEap+tYQUEByZFRCCEI1xsw6vRUVlYSHx+vdbQOffv554yLj2rz3PjURO75/gcefvQxDIbQvazQNXdN1uv1Gidx7+WXXmRoVgrPXHbivucam6yc+eSnzJo1iwkTJmgXzoVly5YxIDcHY/P//zqdjiH9clm8eDHHqv1KFeUfS02dVQ4YQohoIURWR9NPvSWl3COlvEJKmS6lNEkpe0opb+uoyJRSCillu+EF6fSxlHKClDJeSmmQUiZIKY9xUWQipfyvlHKolDJGShkupRwgpbxbFZndX319PUuWLmFweC5DwnuzddtWysrKtI7VqfDwCAD0Ol1IFxFSSl546lnG8/doVbIhkl6GWD6bFJqjQAAVFRVEG0ycud45yz7aHEZFhaf3uoJr/fr1rFy5gqMz2t5w6BMTRbrZwHfffadRMs9UVFYChPTfu/Xr1/PJRx9y55lHtHk+zGTknnMmcMd/bqWuLvQmvvz04w9MOKTtttcTRg3hpx9/0CiRoiihQBWaSkgTQhiEEHcLIbbi3HJkJ1AhhNja/HzoXvkqAVVUVMSF/7qQs886h+v+fR0OR4fbj4aMmTNnkhgej0lnRC90pIYn8csvv2gdq1MN9fUAOBwSqzV0GyL/8ccf1BSVMcSU0ub5o0UPXnnxpZDdNqSxsRGT7u8RNpNOj8Vi0TBRx6SU3Pvf/+OSnAzMHYwIXpWTzuMPP0Rtba0G6TpXWVlJVXUNAOtDdB2szWbjlhtv4JZTxpISF93u9SOG9GZYZhJPPfG4BulcKyoq4scff+Ts48a1ef7MY8fy22+/kRfi298oihI4qtBUQpYQwoSzcc8TONc+7gEWNz/mND8/o/k45R9mypQpLFuwjJ1LdjB96nRWrVqldSS3vpj0OfG2v6dvJtqj+WLS5xom8kzLRWJsRFTIdhaVUvLkw49xtOiBrnnt4G3FUwHIMsaSIcOZ9OkkLSO65HA4aD1dQicENptNszyufPnF55Tu2M4ZPdM7fH14YhwHRUfw2EMPBTmZZ2bPns3wbOdo98zpUzVO07EP3n8fs72Rs8YMc3nMnWcdyXf/+zakft898tBDnHnMWFKT2k73ToiL4YKTj+KB++9DSqlROkVRtKQKTSWU3Q5MAH4BBkopc6SUhzc3CeoP/AyMbz5O+Yf57tvviHREEWOMJUJGMHnyZK0juVRWVsacuXNJNzkbZUwpnUOKKYGNGzeya9cujdO55nA42LrDuXtQsjk2ZDuL/vHHH1TkFzHcnNrh68eITF5+/oWQHNW02WwYWu20ZBC6kBudz8vL45EHH+Tugb0w6FxfNtzcL5spP/7AvHnzgpjOM19O+pRjezlHu0uKi0Ouu295eTkvvvA89517VJtGS0NveKbNcfFREdx80uHcd/edIVG8/fjjjyxetICbLz69w9evP/8UNqxdzVdfdbiaRFGUbk4VmkoouxBYC5whpdzS+oXmbUrOAtYBF2mQTdFQaWkpq9esJtrgnF4WSST/+/Z/IXHh1ZFPPv6E9LAkTLq/t4TQCx0ZxmTefTt0d7RZu3YtMWbnKGyi1cy8OXM1TtSelJKnHnm8zWjm/rKNsaTJcL784ssgp+tcXV0dplZjmmadLqTW4Ekpuf3mmzmrRwp9YqPcHhttMnLHgBxuuf46GhoagpSwc2vXrmXVihWcMCAbgHOH5vDKC89rnKqtd995m6OG9iY3LbHTY08/fCglBfmaF/Rr167lrjv/y0t3XUtkeFiHx4SZTbx017955KEHWbFiRZATKoqiNVVoKqGsD/CblLLD2/vNz/8G9A5qKkVz3333HXHmOHTNI0FhunAa6hpYsmSJxsnaq62t5a033yJTtO/YmmVI4fPPvwjZjc2nTZ1KpnB2cM02JvD7L79qnKi9+fPnU5JXwAiz+y0rjhI9eOX5F7Db7UFK5pni4mJiWv1THKs3Ulxc7OYdwTV9+nR2rF/Lhbk9PDp+TGoifUx63nj11QAn84yUkvvvvosrD+mLuXmrkPNH9GbenL9YtmyZxumcpJR8/tkkLjxihEfH63U6zh87hE8//iiwwdwoKCjgogsv4IHrLmRwnxy3x/bLyeTRmy/lkosvYs+ePcEJqChKSFCFphLKmgD3t9AhEgjdDiWK30kpeeetdwi3Obuhrq1Z49wawhbBOyE4OvjM088QL6KIMbTfXiNCH0aGMYmHHgi9dW1SSr796ht66RIASDXEUlVZFXJTDt94+VXGkeZyNLNFL2McEU2CqVNDa33exjVrSefvke40h56NGza4eUdwPf/kk1yZk4HRzZTZ/V2d24N333knJEZmv/76a8r27uSsobn7noswGbl5zEBuu+lGmpqaNEzntHXrVvRI+vXwfPugCUP7MOevvwKYyrXa2louvOBf/OuE8Zx0xGiP3nPs4SO58szjuOD886murg5wQkVRQoUqNJVQtho4R4gOhoIAIUQScA4QOl0RlICbNm0atdW1ROrbFm5xhjimT5/O3r17NUrW3oIFC/js08/oo3c9GpRryGDab1NDrgBatmwZ1eWVZBidDT6EEPTXp/Dxh9qNouyvpKSEBQsWcLC54wY1+zvEkcRH77wf4FTemTP7LwZFxO778wBzNH9N/0PDRH/bs2cPO3fuZHx6klfvy4qKoE9sNLNnzw5QMs/k5eXx0P33cf9RwzHo217uTByQTYrexnPPPK1Rur/t3LmTXmne7VGbnhBDTV190It5KSW33nIz/Xokce15J3n13stOP46R/bO58YbrQ3aZg6Io/qUKTSWUvQ4kA4uFEFcJIXKFEOFCiF5CiCuARc2vv65pSiVobDYb991zH9HWmDYNMwAMwkCcLo4HH3hQo3Rt7d27lysuvZyBxp6Yda4bIxt1BgYbc7jhuhvYvHlzEBO69/LzLzJIl9rm5zzIlMF33/4vZPYh/PXXXxkYnkKYzrNdjoaZU1m8dAk1NTUBTuaZ1atX01BTQ6+wv7eyGBoZz6atW0LihsmKFSsYlpyAvpPR4o4MjTSxbOnSAKTyjJSSm6+/jvOH5TAgNb7d60II7j1qGJ998jFLNcwJYLVaMRq8uxwTQmA06IPeofirr75iy4Z1PHzjxe1+B3dGCMG9115Awe4dfPRR6NywUhQlcFShqYQsKeU3wNNAT+BdYAtQC2wF3gd6Ac81H6f8A7zyyivUVdbtawK0vzhdPDP/nMmsWbOCG2w/JSUlnHHa6aTbE0g1JXR6fIIxllyRxpmnnxkyBcbC+QsYEpbZ5vlofRi9TSk8/+xzGiVra9bUGfSxd/xZ6EiYzkBOZCILFy4MYCrPvfHyKxwTmdxm2q9Jp+fImFTefv0NDZM5VVRUEONlAdQizmSkQsO1x59+8gkVe3dx2ah+Lo9Jigzn/44Ywk3X/VvTvUtTUlIorvJu/9H6xiasNjvR0Z5//ruqrq6Oxx55hMdvuQyzybddxUxGA4/fchnPPP2UmkKrKP8AqtBUQpqU8l5gDPAhsALY3vz4ITBWSnm3hvGUIFq6dCmvvvIqCY5El3fS9UJPkkzm2muu1ayhSmlpKaeedAphVXpyPJzSCZBpTiXFEsPJE0/SdINzm83GbTfdwmhjT4xC3+71UcZsvv7yq5DY6mTdunVkGWO8ek+aPYx1a9cGKJHnVq1axcw//uCk2Ix2r50ek8FXX3zBzp07gx+slcjISBocvk1xrLfZiYrx7v8bfykvL+fJxx/jvqOGut2OBeDYfllkhet48w3tJsYMGDCAHXnFNFk9H53csLeIAf36oPNi7WxXTZ48mcF9ezKkb06XztMvJ5PRQ/vz3Xff+SeYoighSxWaSsiTUi6UUl4jpRwlpezb/HiNlHKB1tmU4CgsLOSiCy8iiWRMbqahAkQZoghrCufCf10Y9FGKkpISTp54EsZySR+jZ106W8sxp5NQH8GJJ0zUbGTzheeep7GoioFh7QsggEi9mUONOVxzxVWa70tZWFZCgi7cq/fEO4zs3qHt3qUWi4Vbr7uei+KyiNC3n/abaDRzWmwPbrvhRk331OzZsyf59b79Hcq32snprU1D8Hfffpsje6XRNznOo+NvGTOQt994g9pa70YV/SUqKoq+fXJZtSPf4/cs3rSbseOPCGCqDr7nooUccfBgv5xr/MjBLF6o/glXlO5OFZqKogBwww03cvRRx3DM0cewaNEirePsU19fzzlnn4vZEkaMwbMRkgRdAvk78rnlpluC1nSioqKCU046GWMF9Db28Hr9UosccwaJ9VGcNPFECgsL/ZzSvblz5/Le2+9ylLGv2/yDwjLQl1m45867gpiuLbvdTqPFgrmDUVd3woSR6srKwITy0IP33ktMZT1Hx7oe8T49vgeV23bywnPaTVPu378/O8orcPjwd2hXg4X+/fsHIJV7Ukq++GwS/xrey+P3ZMdHMzQjid9++y2Aydw7+tjjmLthp8fHL9iSx9HHHBu4QB2oqa4mJjLCL+eKjYqkpkZNnVWU7k4VmkrIEkKcK4T4UwjR4dCKEKKHEOIPIcRZwc7W3Wzbto0pU6awbf1eNq7dzisvv6J1JMB50Xj9dddTnldOgq7ztY4thBAkk8KfM/7k9dcDPyXOarVy/rnnYyh30KcLRWaLHHM68Q0RnHXGWdTX1/sppXv5+flcddkVHG3qR5S+483XWwghONLUl6k//8YXn38RlHz7a2pqwqDXe/2z1gtBk0W7LS3ee+ddZvz4Mzck5rrNrhc6/pPYl4/ffpcfvv8+iAn/FhMTQ0xUJMUN3o9q7qyool8/1+sjA2XXrl04bFZyE72btntYj3jmzpoZoFSdm3DU0SzZ5tmIZm2DhU17Cjj00EMDnKqtHplZ7Cn0z7rb3QXF9MjM8su5FEUJXarQVELZ1UCclLLDf32llHlAbPNxShf89NNP6BwmDMKMSUQwZ84cGhoatI7Fhx98yPw580kWyV4XFDqhI0Wm8vxzLwS8q+QzTz9DyY4C+hqzulxktuhlzMBaUs9999zrl/O5Y7VaufTCixkkUsk2J3r0HrPOwAnmgdx/732a7K1pt9t9Wp+mRwS9U2eLb77+hpeeepp7UgYQpTd2enyi0czdKf256/Y7mDFjRhAStpeRlkZxo3eFpsVup6HJSlKSd9ui+ENRURFpsVFe/z1MjY6gqLAgQKk6N3LkSDbvLvBonea63YUMHtCfsDD3N4T87cgJE5i1xD/rm2cuXcuRE47yy7kURQldqtBUQtlQoLMKYQkwLAhZurWvvvoaaXX+OtAJPWZTOH/++aemmQoKCnjs0cdIlinohG+/qkw6E4kykWuvuTZgxUVxcTHvv/ce/fXZfisywTlq2M+QxY8//Mj27dv9dt6OPP/sc9TtKWOkOdur9yUaojjckMOVl/4/e2cdJleV9OG3WsYt7u6EBAkSSJDg7u67wOKysPjH4os7CyywuAcLDotDCCSBuBL3TCYZl9bz/XG7Sc+kZ6Zn5rYl9fKc52buPff0b5rTPadu1ak6J+H7Yevq6siMsr+xOdzipC4JD1HeGT+ef153HTd33Y6uGbHvK+2Xlc91nYZw8Xnn8/XXia+vmZGRga+F+0S9wSAZbretn4dYycnJobYFSXXC1Hj95OTmNt8xTmRlZdGlU0fWbGo+nHTlhlIGDkq8t3ifffZhQ1kFMxe07ftowdKVLF+9ngMPPNAmZYqipCpqaCqpTHugudShG4HEPzbfili+fDlr16zByeYkO56qAOPHv5NEVfDgAw+SJ/lkOjLbNE6Bq4Da8lrei1P44ZdffkmnzPZkO9umMxoZDjdd3B34+KOPbB87zJIlS3jmP8+wT8bAVhkGQ7O64Sr38+8El+PYtGkTeS0w2MLkONwJrwM6/u23+b9rruPmLtvRK7PlxsyQnEKu7TSEi849L+GezbKycgrcLTPoc1wu6rxevN7Ehyj37duXVSVl+AMtM46XllYycPDQOKmKjezsLDwxGMkeX4Ds7JbP/bbidDq57PLLefLNT9o0zpNvfsyFF1+M2928V19RlPRGDU0llSkBBjXTZxBQFn8pWy9ffPEFbkc2IkJFwAodc0kW3377DYFAICmajDG89957FEphm8cSEbJ92bz68qs2KNuSNWvW4PbG76s0M+Bi5YqVcRv/gXvvZ4S7e7P7MhtDRBjt6sO/H388oeHWixcvpqOr5YlJOjpzWLFmdcKSRH04YQI3X3sd/+wyjD5Zea0eZ2jI2Lz4vPP5/vvvbVTYOB6PhxVr1tCzhQlgnCL0bl/EvHnz4qSscfLz8+nbuydz129q0X3T11ew2+jRcVIVGyUbN9E+v/n3un1+NsXF6xOgaEvOOONMFixfzbR5i1p1/9xFy5k2bzF//etfbVamKEoqooamkspMBI4SkaiPmUVkGHA08GNCVW1lfPrJp/jr6i+6HeLE5XAzc+bMpGhavXo1wUCw2VImsZLjzI3bPsJu3boRyIif0eJ1+OnRq2d8xvZ6+fTTTxieEb2USay0c+XSKaMwod62yb9Opru35V7kPEcG2a4MFi5cGAdV9Zk6dSpXX34FN3UZRu82GJlhhuYUclXHQZx/zl8Son/SpEkM7NCObFfLMvsC7FCYx/fffWe/qBjYd/8D+HVF7HV0a31+5q0pZo899oijqqZZvHgxToGOBc17vIf16sqUqVMT9rAkkqysLK66+h888XrroiyeeOMjLr/ySnKTGKasKEriUENTSWUeAFzATyJyuYgMFpHc0PEKLAPTGeqntAJjDNOnT8cpWxp0Qb8krcxJRUUFGW57jEwApziprq22bbxIxo0bx7q6EvzGfu9v0AQpDpTGbS/T3LlzKczMI9eGsN8uvhwm/jjRBlXNY4zh0wkfMsQdW+Kihgx1tuPzOJeyqKur44K//JUL2/enX1a+beNun9uOU/J7cOFfz417xMEH77zDmKLWGQR7dSxkwvjxNiuKjTF77c304sqY+89eu5HtBg9OqvHz7jvjGTcytvD1vl3ak5+Vwc8//5wAZVty6qmn8seKNcxf2rJIiyWr1jJ9/mLOPPOsOClTFCXVUENTSVmMMVOAi4EC4GFgHlAROj4UOn+RMSZ1ij6mGWvXriUYDOKIUovQ7zFMmRLfbK2NkZeXhz9gX/KegAmQnRWfPU09e/Zk7732ZrnX/oyVKz3rGTpsKMOH21MkvSHLly+nyGlPXbwiZw5LFy22Zazm+P3336kpq6SPq3Wh1TtJJ1594SWCLUxy0xLefPNNuvqF3Qs62T72gUXd8G3YxOeff2772GFqa2v5+OOPObBH51bdv3PHdqxdu4b58+fbrKx5hg8fzpINpTH3X1xSwfCRycspV11dzYvPP88pY2PXcOqYETzx6MNxVNU4GRkZnH7GGbz3v5Y9WHr/q4mccsqpSdlfqihKclBDU0lpjDHPAjsATwK/AYtDx38DOxhjnkuivLRn2bJlZDaSUMUhThYvat0+nLbSvXt36jx1BI09hoA36KVnj/iEnwLcftcdrPAXUxOos21MT9DL0sBa7r7vHtvGbEh1dTVum/4MZIiL6qoqW8Zqjkfuf5A9pAuOVmY17ecugioPX375pb3CIvj28y/YI6MoLmOLCKPdBXz7v/iFKn/66acMa19I5+zW7d11inBwt468/uorNitrng4dOlBWFXv92fI6Dx06d4mjoqb5z9NPscvAngzsHvtDiWP2GMHc2bP45Zdf4qiscY444kh++G1Wi+754bc5HHHkkXFSpChKKqKGppLyGGPmGWMuM8bsZowZHDpeboxJfKaJrYySkhIw0RfrgoNNm2L3CtiJy+Wib5++1AbsSS5TG6xl1C6jbBkrGv369ePSyy5lYWBls/umPi75sd6xMf7wr+aU005lZBI9LS0lEXvGZs+eza+TfmF0Vo9WjyEijKMHd91yW9y8miKCM47VPRxIq+qIxsr4117lgI4FbRrjoG4dee+dd+LqOY5GdXU12RmxZzTNdruormy+rEg82LBhA08/9RSXHtay/aEZbheXHrYH//y/G5OyV3O77bZjbXEJ1bX1H64NOfScescwXp+fpStWM2LEiAQpVBQlFVBDU1G2Yerq6mhsjSIIHm9iayNGsueYPakNxu6VaAqTadhzzJ62jNUYV1x5BZkdcljj3dDmsYq9pdRl+rj5nzfboKxxMjIyCGLPIjVAkMxM+0u8NOTWG29mnLMHmdLyGpqRjMzsjKekgg8++MAeYQ0Ys+++TPbGz3iZ4q9kj73GxmXsmpoaJk2ewtgujVeO2uuj7+odo9EvP5ccgVmzWub5aitz586lX+fY9+/2bV/AvARrDPPQgw9w6Kih9O7crsX3Hr7rcOrKS/nkk7aVG2kNTqeT9u3aUVoR217Yiqpq8vJyE/IdoShK6qCGppKyiMhOInKxyOYaF6FkQC+JSJmIrAklBVJaicvlorHoQ4O1mEgWe47ZE2zaylPjr2bUqPh5NAHcbjePPfE4iwNrCLQhMVDQGBYHV/PgIw+Rk2PP/snGcLvdBGwyNIMmiDvDvgRO0ZgyZQpzZ85iz6xebR5LRDjE0Yu7b7sjLkl1Tj39NP4I1DK9qmVlNmLhh/J1VOdkcGScwhCnTZvGgA5F5LawfmY0dirKZ+LExCSJCvP1/75k125FMfffuWdHfps+g6oEhX6H2bBhA2+/9RbnH7Rbq+53OISLD9mdB++7JyleTZ/Xh9sV2xxxu1z4fL44K1IUJdVQQ1NJZa4DbjLGlEecuxs4E2vudgAeEpGDkiFuayAvL69RQxNM3A2dphg+fDi1/raHzgZMAK/fS79+/WxQ1TS77bYbo3bdhZWe2EsrNGStdwM9+/WOW6bZSBwOB9gU3mkwcQ3lBGtv5j6OHrjEntcZ7O6Aq9oXl6Q6eXl5PP3f53hi4yLWeJr2zB8795t6x6ZYXFvBC2UreO6lF3HFuMhvKfPnz6d/Tuv2Zjakf3Ym8xPoLQwEArz3zjscMCj2kj15mRns3KcrH33UupIdreXNN9/kgB0Hx1TSpDH23n4AlWWlTJs2zUZlzVNVVUVldRUdimILry7IyyEYDFJampztGIqiJAc1NJVUZhfg2/APIuIGzgYmA52BfkAJcHlS1G0FdOzYsdGEO4YAHdq3rnyEHfTu3Zuq2qo2P6n3Br107tQ57kZQmEsvv5QNzvLmOzZCibOCSy+/NKYyB23F7/cjjezRbSkOHHH1WJSXl/PTxInsktmt2b5XFn9R79gYIsKuwU688VJ8EtaMHTuWm267jTvWz6PE1/ZEUSs91dxdPJ9H/v1EXPe6lZSUUGTTx6VdppuS4tY/eGkp3377Le2yXAzsVNSi+44c0p3XXnohPqIa4ZMPP+DgHQe1aQyHQzhoh4F88nFijeTffvuNYQP64oox6kVE2H7wAKZMmRJnZYqipBJqaCqpTGdgVcTPuwD5wH+MMXXGmDXABCB9sqWkGF27dsXrj74PM2iC9OwVv0ytzZGdnY0xBtPG0E5DMKH18fbcc09Ka8rxB1tensUYw/rqjey3335xULYl1dXVOJsxNB9d/2W9Y2O4xUl1dXxqlYIVztknrwNZDnu9eIMz2jP1t99sHTOSM88+i4uuvpJb1s1ho6/1e55Xe2q4fd1cbrvnHg4//HAbFW6JnQ9lDOBwJm6p8frLL3HUkNi9mWH27t+dRX/8wdKlS+Ogakt8Ph9z5s1nxwGNJ7UacfG99Y6NsfOAHkydnNgqX5999il77dyyskt777wdn32a+P2kiqIkDzU0lVTGAJGryrGhc99HnNsA2F+obhuhS5cueDx1Ub2GhgD9+8c/3LQxPB4PEvqvMWZXzqp3jIbgoLbOnuy1seByuejUoSN1QW+L7/UaHxkZGRQUtC3bZ6xs3LiRDL89Hs1sRwabNm20ZaxobNy4kXxizyQaK/mOTEqrKuK6x+3iSy/lnEsu4s7ieVQGWu71LfHVcef6udx0+22cfMrJcVBYn86dO7PJpm2rG+u8dOqSmNIhNTU1fPv99xwwOPoe3l0efLveMRKX08H+g3oyIU7JoRqydu1a2hXkkZPZ9n3Nfbq0Z8WKFTaoig2Px8OEDz7giH13b9F9h+2zGx9//DE1NfYkeVMUJfVRQ1NJZVYAoyN+PhpYZYxZEnGuO6CbPlqJ0+kkLy8fw5bhsxlZbnr0aH0JibaycuVKcnPy2hxC6na4Wb9+fUKTZXh9vlbpduDA7/clTOuSPxaThz0JfPKdWawtjt/7XFBQQC32J+2pNT7ys3PiHqp85VVXcdAJx/JIyR8EWvAeeYMB7tuwkHMvvYQzzjozjgo3M2TIEJbU2FMTdmmdl2EjEhN0MnXqVAZ26UBRdusym+7RqyPffRW/2qqRbNy4kQ4FebaM1SEvh5JNZbaMFQvvv/8+Q/r2pE/3lj1A6NapAztvN4jx48fHSZmiKKmGGppKKvM2sKeIvCMirwJ7AO806DMMWJxwZVsRhQUFUQ1Np8tBu3YtT7lvFzNmzCDb2fa0sy5x4Xa6WbJkSfOdbaCqqoryinKyHS1f7LrEiVOcrF27Ng7KtmTe7Dm0c9oTVpzlcON2uOKmfbvttmNF7SbbDdlVvgqGDBxs65jREBFuu/NOXL2783nZ6pjve6dsFQNG7cgVV/09jurqs8MOO7B0Uxk1/paHfzdkRlkVu+/eMs9Xa5k9ezZDOrTeeBvWpR3zFyy0UVHjVFZWkptlT6mP7Ew3Pp8Pvw3/v5ojGAzyxGOP8pdjW5es7C/HHMgTjz+WEK2KoiQfNTSVVOZhYBJwHHAaMAO4PXxRRPoBu1I/lFZpIRmZmdH3QQpkZdmTebI1fPP1N0idPV6mHGdOwkos/Pzzz3TKbY+jFZlRRYROWe354Ycf4qCsPj6fj/mLFtLZbV+YbrfsdkydOtW28SLp0aMHeXn5rA3YW4LiD1PO3gckZk+sy+Xingcf4P3yNQQaScIVSXXAzxfla7n7gfsTkhwqTHZ2NjuNGMHUDW0LFllfU0eZxxvXxEX1Xm/tGjpltz68ukNuFmWVVQkxgkpLSynIscfQFBEK8nISktH1ww8/JNMpjN15+1bdv+uIIXQqzFOvpqJsI6ihqaQsxpgqY8wYrGQ/I4FdGpQ6MVhG6FPJ0Le14PN6o++DNFBXZ0/4XEsxxvDNN9+Q57QntMzlc/H5p/aXsIjG++++R6Gv9WVhCv05vDf+XRsVRWfKlCl0yCogy2HfvsfOvhy+/vIr28ZryLj9xrHQa+8+0CVSybj9xtk6ZlOMGDGC/MJCVjVT8gSsUiZDBg6kZ8/EJ+U66MgjmFxa2aYxJhVvZNy++yQs47Pf58fVhtcSERwOR0IMzRUrVtCtDWVNGtKtQztWrlxp23jR8Pv93HP3v7j8jKNa/eBDRLj89KN44L578Xpbvo9dUZT0Qg1NJeUxxswOtWCD88uMMROMMfXi0ETkbBFpviCdgjGGDSUlSJSvAp83wOrVsYf42cnixYupq60jsxXhp9HIc+Yz8eeJcV9Aer1ePv/8c7pldGz1GF0zOjDpl1+oqKiwUdmWfDThQ3oG7U061C+jI59//jmBgP17KQH22HssqzNan7m1IV4TYE11KTvttJNtY8ZCbm4OnmDz75HHBMnJSVzG5Ej2229/pm5q2xz8vaqOAw49zCZFzZNXWEC1t/UldnyBAMYYMjPt+d5pimlTJzO4h33lo4b06Bj3WppvvvkmHfJzWu3NDLPbyKH07d6Jl19+2SZliqKkKmpoKlsjfYF9ki0iHVi8eDEiEtXQDHgNP/zwYxJUwVdffUWuo+2JgMK4HW6yXFn8FscyFgA//vgj+Rl5ZDtbv1B1O1x0zmnPl1/GLylJIBDg/ffeZ1BGZ1vHbefKJQd33MKU+/XrR6mxz8teGqijS/uOuN32Z7NtjI0bN7J81Sp6ZDbv9e6TmcvMuXOorU1c1uQwQ4YMocrrY5On9V6nORvLErY/E6Bz5y6UepsPSW6Mkuo6OrUvinuYssfj4cefJrL7kD62jTl6UE++/Cx+pUM8Hg/333cvV519rC3vz9/PPJZHHnowKXNbUZTEoYamomzDvPnGm0jAFXXh4JJMJk78ifLy8ih3xpcJ708g029PNtQwbn8Gn332ma1jNuTTTz5tU9hsmEJ/Dh9PiF8B9h9++IEc46a9y57Q5Ej6Bdvx2suv2j4uQEZGBv4Y9jbGSpBgQo1MgEcfeog9CzqT62z+dTtnZDM4K5/nnnkmAcrqIyIM7NeXlVWtK0VR4/dTWedJaNhv165d2Vjbeo9mSVUdnTvFv1rWl19+ycDunenazr6Ign1HDGTqb7+zbt0628aM5J133qF/jy7sNGygLeNtN7APIwb35bXXXrNlPEVRUhM1NBVlG6W4uJjnnnsOfNENOoc4cUkW9913X0J1lZeXM2v2LHJtNoJyJYcPP/jQ1jEb8v2339HRVdjmcTq52zHx55/jVirk7Tfeol+wKC5jD8nsyhdffhGX/b3FxcXk2xRODZDnyGBjmf2ZbBvjxx9/5O3X3uC0ouh1HqNxTmFvHnvoYWbOnBlHZdEpKCigqpXh5jX+AHk5OQnbnwnQrl07yuta74Etr/NSVFRkn6BGePbpJzlpz+1sHTMnK4NDRg3lpRdfsHXcMM8/9yxnH72/rWOefdQBvPj8f20dU1GU1EINTUXZBgkEApx37nlIIAOnuBrv6MnglZdf4aeffkqYts8++4zCrCKc4rR13GyHlZVxwYIFto4bpqKignXr11Ngg4Gc7cgk4PPHJbmHMYZvvv6a/pnx8dzkOjPpmFXAlClTbB97zpw5dLTR050nGZiAiZsXKJLFixdz3tnncHnHARS6Yv8dumZkc177fpx+0skJK3sTpqKigjxXE98PTZDjclJZU5PQ+rXBYLBNYZ0OscaIJ7Nnz2bJ4sUcsNMQ28c+be8deemFF/B47NvHDLB69WpWrlzJmJ3atjezIbtsP5iyslIWL9YKZYqytaKGprJNIiI9ReR5EVkjIh4RWSYij4hIiwpHishYEZkQur9ORFaIyKcickgj/Z0icrqI/Cgi60SkRkQWisgLIjLcnt+uaYwxXHHFlcyaORfxNe0dcogT8WZz5plnMnv27ETI47VXXyPDa2/YLFihgLkSv7T6s2bNokNeEQ4b9i+JCO2zC+PixSopKcHj9VLobHuIb2N0CGYzZ84c28ed+M339ME+T7eI0D+nA7/++qttY0ajuLiYE48+llPzezAyt32L7x9T0JkDMtpx0jHHUlnZtkywseLz+Vi4ZAm981o3T3JcLoqys1i0aJHNyhrnjz/+oEd+60sydS/MZcnSZXE1jl995SWOGz0ct9PeB2kAA7p1pF/XDnzxxRe2jjtnzhxGDBmA02nvktHhcDByyICE/W1RFCXxqKGpbHOIyADgN+AvwGSsep1LgCuASSISUypAEbkI+BHYP3R8GKum5z7AZyJyU5TbXgdexUpY9B7wOLAIOBv4XUTiWtDP5/Nx4QUX8slHnyJ1WTE9/XdJJoEaF0cdeVRcvFSRbNq0iWnTplHgsjcbaphck8v4t8bHZSE5d+5ccoL2hXVmelzMmW2/sVZdXU12CzxqrcEZEKqrq20dMxAIMHX67wzIaNGzoGbp7c3ip+/jV7fU4/Fwxkkns6fkcEBRt1aPc1xRT/pV+TnvrLPjltU3km+//ZY+hfm0y2z9XNmjUzsmvP+ejaqa5r2332TPnq3P5NqnXT5OE4hr0rAvPvuMQ3a235sZ5uCR/fn8049tHbOiooLC/PhkPy7My4l7hm1FUZKHGprKtsiTQGfgcmPMMcaY640x+2EZikOAu5obQETcwN1AHTDKGHOmMeYGY8yZwC6AB7hJRDIj7tkVOAmYAwwxxlxsjLnOGHMYcC6QAfyfrb9pBGVlZRxzzLF8+fnXSF02IrF//N2Sjb/GxfHHn8B778Vv4fjVV19RlFWEowXaWkK2I5uKioq4hGrNnjmLTH/rwgyjkStZzJw+w7bxwnTq1IlKTy1+Ez9jpdYdoHv37raOuWjRIvJcmbbu0QTo5y5i8s+/2DpmJDffcCM560s5uV3vNo0jIvy1Qz9K5i7kofsfsElddIwxPPrA/RzTteXe10iO6dGJ5599jqqqKpuUNc6HH37I2uXL2Gdg6+ediHDGDv248dpr4mLMl5eXU1pWTr+u9pU1acjwvt2YPWuWrWMWFRWxsSw+xuDG8irat2/bPFMUJXVRQ1PZpgh5Mw8ClgH/bnD5FqAaOFNEmnt82x4oBBYaY+pt+jPGzAMWAtlQL86vf+j4tTGmYSrHCaFjXDbOLViwgL332ps5MxYgnpYZmWHckoXDk8Pfr7yKm2/+Z1wWYt99+x0OT/y+lkSEPFceP//8s+1jL5i/gFwbw1FzXdlxCTvMzc1lxHbDWerZYPvYAN6gn2W1G9hnH3srDM2dO5ee7rYnWmpId2c+S1Yuj8vevKlTp/LRe+9zYYf+tpSEcImDyzoM4JmnnorrvrYPPviA0lUrOaBHlzaN078gj1Ht8nng3nttUhadmTNncu3Vf+eWA3Zsc0jqMSP6kV1XwTVX/d32yAev14vbFT3Lt124nU58baglGo0ddtiB2QuX4PU1nxgqMzMTh8MRUy3SQCDIjHl/sOOOO9qgUlGUVEQNTWVbY1zo+KUx9eskGGMqgYlADjC6mXGKgQ3AYBEZFHlBRAYDg4DpxpiNEZfCcZD7iUh2g/GOCB2/ium3aAGfffYZBx10MGXFtTj92W1a5DjFjcOTy2svv85xxx5n+36xBfMXkOlo/R6rWDB1hoULFto+7po1a8ix0duW7cikeEOxbeNFcunfL2eGWUswhoV0SxaOALM8qxkzZqztHs21a9eS77d/X1umw0Wm08WmTZtsH/vR+x/guPxu5MVQyiRWOrqzODi/K/9+5FHbxoxkw4YN3HTttVw1uDdOGwyiCwf25I1XX2HatGk2qNuSqVOncvIJx3PtXtszsnvHNo/nEOHuQ0Yx7cdv+cffr8Tfyqy70ejYsSPicLB2U/xCRResWs/gIYNtHbNTp04MHjyIn6c1v5fS5/Px3nvv4fM1b+xOnjmf7t2706NHDztkKoqSgqihqWyNTAdebuRaeHNMY5bGH6Fjk3+pjfWo+xKsz9BvIvKSiNwtIi9j7f+cA5zY4J7ZWOG52wPzReTfInKPiHwE/Bd4E5tDZ5966mkuuOBCpC4L9xa2betwiBPqspnx+1zGjdvP1kyYXq8XIfbFbUuNIAARh+1ZGQGqa6pxO5oPnY1Vs1tc1NTFp5j5YYcdRqde3Zhbt7rZvi1ZOFYHPEz3reK2u263Q2b9saurcftj8zC1dF5kuTJs31Pq8Xj47qcf2aewq63jAozL78ynn35qu8fNGMNVl13KwV3asX17e7zHHbIyuXxwHy467zxqa+2dzx988D6nnXwi/7fv9uw/2L56nbkZbp44eg8WTf6J00460bZawiLCUUcdxfiJsYXEt3QeG2MYP2kOxxx/YvOdW8jJp5zGu181Hwnidrs57rjjYqpP+97XP3PKaafbIU9RlBRFDU0lZRGRgIjc3Eyfm0Sk3iNnY8wEY8xfGrklvHpqbOUQPl/UnD5jzHhgP6AMOAu4HjgTK/z2BawEQw3vuQq4ECtE9mLgOixv5gzgJWNMo6tdEfmbiEwVkakbNjQf9vjE409wz9334PTk4hR7k7+ICA5fFhvWlHHQQQfbVh6ie/fu+EzsYV8tMYLCBJ1Bevayv4i8w+GMyUMYq2YDcdurKiI89PgjTPGtoDbYdN3BliwcJ/mXcs5fzmHAgAF2Sf0Tp9NJ0BHbQ4iWzouACeK0OQvo4sWL6ZyTT47Tvn27YTq7s/D7fJSUlNg67nvvvsuiGdP5y4DY63zGwv49OtPfEeTuO++0ZbxAIMBt/7yZW6+/lieO3oOx/e31ngPkZbp56PDd6FJbwoHj9rWtLNLlV/6dd36exdL1G5vt29J5/PHkOdTi4sgjj2yrzC047rjjmDRtDmWVTe+39Xg8BIPBZh/mVdXU8t2v0znhhBPslKkoSoqhhqaSykioxdIv4YjIGVihrj8Cw7BCbocBXwNPYHkoI/uLiDyGtTf0dqAXkA/shWVXfCYilzT2esaYZ4wxuxhjdunUqemtnF9//TX33X8/Dk8ujqbqZLYBEcEVzKZiYw2nnXpai4y9xthn3D74XLGP0xIjKIzf6WP33Xdvjbwm6dihA3XNGG0Qu+a6oId2RfZmWI1kxIgRHHXMUUzzNl2rM9aFY7GvgnVU8Y9rr7FT5p8UFRXhccXmwWvJvDDGUOWppaioqI0K61NRUUG+Oz7ZfUWE/IwsW7N1VldX888bb+QfQ/uSEUMZi5Z62y4b3Ju3Xn+NhQvbFrZeWVnJ6SefxOQvPualk/dhSOf4fUZcTgf/2GckZw/vzlGHH8aXX37Z5jF79+7NtdffwPUvfU5dM3spWzKPlxdv4oEJP/LEk0/jamXt06YoKChgj9GjmfibPaVIfpkxjx13GEmHDvFLjKQoSvJRQ1NJd9phZX6NlbDHsrG4sPD5sqYGCe3DfB4rRPZMY8x8Y0ytMWY+llfzN+BEEdk34razgcuAx4wx9xhjVhljqowxPwFHArXAPSLSpkKBfr+fK6/8O+LJssJc44wzkM2ypStsqU95zDHHUO4rJxBjRtRYjaAwtYFaHG4Hu+66a1tkRmXkyJFU+JvPrhmr5nJ/FcOGDrVLXlT+cd21zPOstSUD7ZzgOi6+9BJyc+NTBqFr165UOmLbL9eSeVFr/DidTvLy7KvPCbRoL3RrQsCDGFuTyrz84otsX5jL8HaxlRZqqbetXWYGJ/TuykP33tNqjWVlZRx9+GEUVazjsaNGU5RtbwbixjhieF8eOGwXrrz4It6x4Xvu3HPPY/DIHblr/DdNhj/HOo9r6rz8/b8fc/2NN7HDDju0WV9jjNp1N+YtbfrBVKzMX7KCUbvuZstYiqKkLmpoKimFiOwdbqFTfSPPRbRxInI2cDrQkpimcN/G9mCGE/s099j9IMANfB8lqVAQCBfmGxVxKZzw59uGgxlj1gHzsbLUtqnI2vTp06muqsFJy7wpFYG19Y6xIiL4ax289OJLLbovGt27d2fvvfeizF/W5rGiUems5IKLLrA9TBJg3/3HUeluyTOPpimXavY/6ADbxotGjx496N2rF8W+tnvGVvlLOfyIw21QFZ0ePXpQFrTv/Q1TFqyja8fOto/rdrsJmNgy2bYmBDwQDLbIk98cb736Ksd0iz2ZTmuiCY7u1ZUv/vc/amoaJt1uHq/Xy0nHHcsO+Q6uH7cDrhi8rg1pjUEfZmT3jjxxzB7888br+d///tfi+yMRER557AnmF1fx7s8z2zQWwO1vf82oPcZyzjmN7Rixh/z8fKpr7dnfXlXjoaDQ/izSiqKkFmpoKqnGd1iG2LdY4aRnR/wc2b7C2gfZCWhJUbmwkXeQNKjxISL5wBigBmiusF54pdJYDGv4fGQsZWvuaTFr167FKfFNod8QB07b9mled/11VEgFwRgX6bHiCXqoCVZz7rnn2jpumHHjxlFct9G2BC2bgpXsu+++tozVFF26dKUmhpDf5qisq6FrV/sT34Tp0qULZZ6WGyjNURHw0KWz/YZmS8qltMZoc4jYVmKosrKSJStWMKJ9bN5MaHk0AUBBhpu+RYVMnz69xRofeehB8jyVXDF2eKu/21pj0EcyoGMhdx60M1dedillZWWtGiNMbm4u/33xJR7/+GfWbGx9sqGvpy9k/rpy7nvgwbh/5y9fvoyuHYpsGatrxyKWL1tqy1iKoqQuamgqqcbtoXYH1t7LHyLORbZbsLK+bm+MeT3WwY0xi4Evgb6h+yO5DcgFXolMyiMiQ0WkYQzjj6HjCSIyMvKCiOwInIBlKH8T5Z6rRKSwwT0XAj2BdcDcWH+faAwYMABfwGN7RsqmCBgfAwYOtGWskSNHssOOIynzldkyXpgKqeC8888jPz/f1nHDdO3alYKCQqoCbTeGPEEv3qCPYcOG2aCsaVatWkWuDWVZCrNyWb26+Sy2raWoqIgqj/1ZeGuMj6J29u/zKy0tJdcRm+HYGqMt15XRZmMnzPLly+leWIDLEf8lQa+cLJYvX96iewKBAM//97/8fex2bTKmWmPQN2RUr86M7FLERx991OoxwgwePJjTzzyLl779vVX3G2N46ovJ3HXPvWRn25NVvDGCwSBffPYZe+403Jbx9txpOF988YWt5WMURUk91NBUUgpjzK3GmNuMMbcCy4H3Qz83bHcaY54K7YlsKRdj1cF8TEQ+CJUl+Qb4O1bI7E0N+s8LtUidk7E8qtnAFBF5U0TuFZG3gF+BLOBRY8yciNueBGYCw4GFIvKsiNwvIl8DTwEB4BJj2rZhbtiwYXTv0R2/sT/MMBrGGFw5hr/97Xzbxrzs8svwZNqnP2iClPvKOO+882wbMxp9evWmNtj20LKagIfuXbvH3UOxcuVK1qxdQ2d37J6sxujpasenH39ig6roZGZm4g/a48GLxG+CZGTan7Rn2bJldIpTIi6ALu4sli61xyNUXV1Nrjt+WiPJdkBVVfN7mSNZv349DmPo3a5tD4laY9BHY8cuBcyc1jrjsCGnn3EG385a1Kp7V28sZ1NVLePGjWu+cxv5+OOPKcjJYvtBfW0Zb3DfnvTs3IH33nvPlvEURUlN1NBUUpkXgVK7Bw15NXcJjb87cDUwAHgUGG2MaT7vvMW5wF+AScDBoXEOBH4CTjXG/L3B61ZhhebeAqwFTgOuxMpUOx7Y0xjT5r+6IsLjjz8GWV6CJv5Pi4OuOkaMGM7BBx9s25j77rsv1Z5q/EF79FcHqhk8aDBdunSxZbxGX6e6GqcNCZic4qCmxt66jtH49+P/ZlhWN5w2lFEZ6ujCs/95Ji41SsHao+dy2L+31ikOWzImN2Tar5Ppa4OnuDF6GRczpk2zZaxAIIAjQaH2TqRFYcUAeXl51Hg8eP32P2hoDWV1PvILi2wZq0OHDpRXtu6zXl5TR8cO7XHE2RNdV1fH7bfewpVnHm3rw68rzzyau+68w/YatoqipA5qaCqpzE3AiHgMbIxZaYz5izGmmzEmwxjTxxhzpTFmC8PWGCPGmC3+uhqLF40x+xpj2hljXMaY9saY/Y0xbzbsH7qnyhhzuzFmR2NMrjHGbYzpbow5KeQltYVRo0Zx7bXXYLLqMDbvdYzERy25hRk8/8Lzti5AXC4XvXv1xmvsMVq8QQ8jdxjZfMc2sH79ehYvXUyBs+1ZV/Oc2ZSVlbN48WIblEVn9erVvPnGG+zotqdmYhd3AYXBTF54/nlbxmtIRUUFORn2G27Z4qKy3L4yIWEmT57MkOz4JTsZklXArz/+ZMtYxhgSuKW7xWH9BQUFbD98O75fvCZOimLHHwzy1eJ1HHzIIbaMN3XqVIb0aV0d0P5dO7B8xSrKy1u/xzMWHn7oQYb27cGYnbe3ddxdth/CLsMHcl8bMhEripLaqKGppDKrgbbH9G2jXHLJJZxyykmYrNq4GJs+U0tGrmHChxPo2DH2bJWxYqfhamweLxr/d+NN9MzsgtvR9hBEhzjo7e7Ctf+4Jm57bW+9+Ra2z+hOrtM+4203R28euO+BuCx8S0tLycuwfx9ajsPNxk2bbB2zuLiYTaWl9M6MT6kXgCE5BcxesIC6uraHmCfSo+nAtCqJ0dXX3cCTv8ynzpfcPX3vzFhM97792W23tpfmCAaDPHjfvRy/e+v2YmdnuDlo1FAee/SRNmtpjMWLF/PCCy9w099Oicv41597Em+9+Sbz57dmF4yiKKmOGppKKvM+cICIxDfLwVaKiHD3PXdz+BGHhoxN+wwWn6nDmRPggwkfMNCmJECRBAIBVqxaSYbYYwRlOjKYNcueQuPRePqpp/jhmx8Y4O5h25j9MrqxYMY8/nXXv2wbM8ycOXP45quv2Smzt63jdnTn09fZnkceetjWcQE2bdpErtP+vZR5kkGZzYbxlClTGFLQPq7GW7bDRe+CImbMmNHmsbxeL24bwqdjwQWtCq8eN24cu47Zi/u/n2W/qBj5Y0MZ/526iAceedSWB1dPPfkkvspSjtit9Ql2Lj18T1575WWmTJnSZj3RuPOO2/nrcQfTpaP9CbMAOhQVcMFJh3H7rbfEZXxFUZKLGppKKnML1h7ND0TE3pidbQQR4bHHH2Ps3mMwmfYYmwHjRTI9vPPOeLbfPj7/W37++WeyXVm4bPAOAuQ4c5k3fy6bbPZcATz//PPcf8/97OgeiMuG/ZlhHOJgpHsALz33Ig89+KBt4wLcfcdd7OjuSaZN728ko9y9efGFF2x/r6uqqsiKQ3KdTIeTmlp7y6bMmDad/i2sY9sa+rtymDmz7XUYg8EgzgSFzjppeehsmAcfeZS5FT7emt665DltobSmjms+mcK/7r2XQYMGNX9DM0ycOJHHH32Ye88+FGcb9lh2KcrnllMO4Ny/nMP69evbrCuSZcuWMennnznjyP1tHbchpxy2LzNmzGDBgpaUxFYUJR1QQ1NJZWYA3YADgBkiUi0iS0VkSYMWv41sWwEOh4PnnnuWHr264pe2hdkZE4RMD48/8TijRo2ySeGWPPvMs2T5smwbzylOijKKePONqFtnW81/nn6af912F6Myh5DjtE9vmExHBqMyBvOfx5/m7n/dbcuYK1euZOLEiWyf1bp9Yc2R78yif0ZnXnn5FVvHNcYQD1tIEAz2hifPnzWLnu4cW8eMRg/cLJg9p/mOzZCbm0t1ghLt1Bjr9VpDXl4er789nhenLeXnpWttVtY4Hn+Aaz6dynGnnsYJJ5zY5vHWrFnD+ef+lbvPOpQeHdq+j3fcyEEcs+sQ/nrOWbaWC/noo484aMwocrLil9QKIDMjg8P23pUPP/wwrq+jKEriUUNTSWUcgA9YEWrFofPSoOk8bobMzExeePEFjKttyYH8UsfYvcZw1FFH2aiuPhs2bODbb7+l0FVk67g5/lyefvpp20KIX3jhBR64535GZQ4h1xm/6O4sZyajMofw0rMv2OLZ/OD9DxiY2QV3HEtvDHZ05K3XYi5vGxP5+fnUxiGLcm3QR262vXsp16xeTSe3/Q8eGtLJncXqFSvbPM6gQYNYvKmUYAJq7y6t87Up3L5v37688PIr3PrVdBaXxDcJDlgPOP71zQx6Dd+Bm27+Z5vHCwaD/O3cv3Lq2BHsMbRv2wWGuPCQPcjwVHLvPfY8kAKYO3sWI2wqZ9IcIwb1Ze7s5IVFK4oSH3SBrqQsxpi+xph+sbRka00HBg0axPDh2+PH2+oxMnKESy+71EZVW/LBBx9QmFFoS5mQSHKcOdRW1fLbb7+1eaypU6dy+y23sVPG4Lh4MhuS6chgR/cgnnzsSb7++us2jfXDN9/SnbbVI2yObu4iVqxe1eJ6iU3Rt29f1teW254caUOghj697d2rWllVTU4cSrE0JMfpoqKi7cZW586d6du7N78U2x9aHsm6mjoWlZUzevToNo2z++67c9td/+LaT6dQWRf799nUq0+qd4yFN6YtYrnPyRNPPW1LGZG33nqL2tINnHvg7m0eKxKHQ7jjtIN46YUXbMtWHQwGcToTtHfX6Wxx2RtFUVIfNTQVZRuib78+GNP6EDmf30vPnj1tVLQlX3z2BW6f/fvbRITMQCY//PBDm8e66fobGejsGVdPZkOynZkMdvXihmuvb9M469etJ88RX+PYIQ4KsnJt3TPWpUsXcnJzWR+wt+bekmA5o/ceY+uYLqcTfwK8g34TxO122zLWlddexzNLVuOJMSPsj0fuW+/YHMYY/rN4FWeffQ55eXmtVLmZU045hX0OPpT7f4hfkq/560t58ffFvPTa6+Tk2BMK/Z8nn+DSw/fA4bA/ELxjYR4njh3Jf5991pbxBg0Zyvwlq2wZqznmLVnBoMFDEvJaiqIkDjU0lbRBRNqJiD1F/7ZRZs2ajaMNIZNuVyZz5861UdGWrFmzhgxHfBKpOIIOVixf0aYxjDFMmzmdbpkdbFIVO53d7Vi9ZnWbyocUtWtHrWm9VzsWgsZQ7a2lqKjItjFFhEMPP5zpvuJm+z7S+eB6x8YwxjDbbOLwI46wRWOYHj26U+xre9mR5tjgq6NHL3u+Eo888kiG7rwLjy9YHpeSOhNWrGM5Tv5x3XW2jXnHXf9ibmktPy2xv75mIBjkzm9nctudd9HbJo93SUkJK1etZvfBfWwZLxoH7jCI775pW9RDmKOOOoqPvvuFqppaW8ZrjDqPlw++nsRRRx8d19dRFCXxqKGppDQikiciD4rIOqAEWBpxbXcR+VREdk6ewvRh2rRprFy5EmcbsmF6qoI89ujjNqraksLCQvxx2IsHECBI+w7t2zSGiNCxfQcq/fZmKo2FmmAdbre7TR6hcQfuxwpTZp+oKKzxldK1c1c6dLDXGD/7r+cwJbAev011Yed5Syjs1J6RI0faMl6Y3ffei7neSlvHjMbcQC2j997LlrFEhMeffpo/HJm8sLjt+z4j+X7tBl5ZWcyrb71NdrZ9UQA5OTnc++BDPPjTXHytqM3ZFB/MWkq7bj05+eSTbRtz48aNdCjMi4s3M0zHwjw2lpbaMtbgwYMZN24/Hn75vZjvWfDZi/WOsfDoqx+w6+672/45VBQl+aihqaQsIlIITAL+DqwB5kG9xJOzgL2AUxOvLr0IBAJcccWV4HG3qf6bW7KZPXs2X3zxhX3iGrD/AfvjccTmDdo+f0S9Y1MYY/Bn+hk7dmyb9AFcc+21LAiswBdMXPH4gAkwz7+cSy+7DKez9fv/zjjzTJZ4N1Dqjy0E9YouB9U7Nocxht8Cq7js75e3WmNjDB8+nGHbb8evdavbPJYxhm9ZwxXXXG1LTcRIjjn2WH6q2kBdMH6ZXMv8XqZVlnDIIYfYNmZ+fj5vv/8+P1T7eckmY/OHtRt4+I+VvD5+PP3797dlzEj2228/+g8eygezljbfOUbqfH7+O/UP7rjnXlvnRrdu3Vi/sQx/ILYHJbOevK7eMRZWbyyjW5curdIXjbvvvZcffpvHu1/+aNuYkXz83S98PvF37n/A3hJOiqKkBmpoKqnMTcBw4BxjzM7A+MiLxpga4HsgvkW+tgKeeeYZVi5fhYvGvQmZmZk4HA4yMxtPZS8imLoMLrvscior4+OxOePMM6gIVOAL+mwdtzpQTUa2m3322afNY53zl3M4/Lij+N27gJpAy0Ikj+i4V71jLNQFvUzz/sHu4/bkqquvatHrNaRTp05cd+MNfO1diL8N+3Ub4/e65bTr04VTTo3P85+bbruFbwKr8LZR+zxvCYH8DI477jiblG1mwIABjN17b94ri21/2/vb7VfvGAtvlq3khBNPpFOnTq3S2BhdunRhwqef8k2ll1cWt21/3o/rSnho4Ureevc9dthhB5sUbsnNt93O878totZnz4OfN6cvZrfRe9iuuaCggKFDBjNx7hJbx43k6xmLGXfggbaNV1hYyFvjx/PoqxP46NtJto0L8PmPU7jnufG8+dbbtkc/KIqSGqihqaQyxwFfGGNebqLPcqBHgvSkJatWreKeu+/B1GU2+XTe5/Px3nvv4fM1beC5JBNfbZCbbUj1H42uXbty1llnUSr2ZcAMmiBlzlLu+tddbfIGhhER7nvgPi675kome+ax2lMcl31tAOs9G5lcN5fTzz+LZ559xpbMl3+74G/sOGZXvvEstLWkxR9165jv3MgLr7yEyxWf8im77LILO++6CxM9rTeCgsbwhVnJzXfcZst8iMa/7r+Pr6qLmV9jfwmOKZUlzAhUc9Mt8fkMho3NL8trmLCidfUqZ2ws44H5y3nz3XfjamQC7LDDDowZuxcvT/2jzWNtrK7j1WmLuOmWW9suLArnXXARz3w5JS7fFyUV1Xzwy2zOPvscW8cdOHAg4999jwdeep+XJvzPljHf+ORb/vXsW7w1fjzDhg2zZUxFUVIPNTSVVKYnMLOZPlVA2yteb8X88+Z/gj8DZzNJgNxuN8cdd1xMWSzFm8l7777LwoUL7ZJZjxtuvAHJFir8FbaMVxrcxIgdR3DkkUfaMh5YxuZFF1/E+xPep7Sojlm+JdQFPLaN7w36mONdysrsjbzyxqtcf8P1thiZYGl/+tn/kD+gCz96/rBl0bvcU8LPgWW8/e54evSI77Ofm++4le98K/G0MnR5pmc9+V07cvjhh9usbDNdu3bliaef5sENC9lgY2KglZ5qntq4mBdefYWCggLbxm1I165deeu993lx2TpmbmqZsVxS5+GWmYt46rnn2HHHHeMjsAG33nkX78xa2qbamsYYHvxxNqeffkaban02xfHHH48rr5DXv59m67jGGP71zrecdvrp9O3b19axAYYNG8Ynn37GO1//wu1PvYa/lXtiA4Eg9zz7Fi99/B0ffvwJI0Y0v+1BUZT0RQ1NJZWpBDo306cfVpIgJQqrVq3iy//9D2eg8XDYMB6Ph2AwiMfTvLEk4gBfBg8+GJ99Nbm5ufzn2f+wkRICbQyRrA3UUilVPPnUk7bvxQPYcccd+fHnnzjm7BP4pW4OK+vWt8lwM8awxrOBSXWzGXfcQUz69Rf23HNPGxVbZGVl8da74/F3y+Vnz5I2aV7tLeUb70JeffP1hCwchw0bxpixY5nkaflezfDezBtu+b+4zIdIDjroIC77x9XctX4elYG2h4KX+Oq4a/087rzvPnbZZRcbFDZN//79uf+RR7h37lJ8Lahx+MiCFZx97rnst1/socBtpUePHvzfLbdy8/9+p66VIbQfzVnGkpoA1914k83qNuNwOHjqmed45stfmbG07XuNw7z+3e+sqvRyfRy19+7dm88+/5LVZXVceNtjVFa3LCFadW0dl971bxasLeWLL/8Xlz27iqKkFmpoKqnMFOAIEYlaXV5EugGHAT8lVFUa8e677+KWLMswtBmnyeSTTz6NyTBtDWPGjOG4E45jExtbPYYxho1Swt33/IuuXbvaqK4+WVlZ3PzPm/n4s0+o6wozfIvwBFteQsQb9DHbt4SNhTW8/e547r3/XltqDjZGXl4e7334PmXtDNM8rUv+stFfxZd183juxefZfXd7i9A3xRX/uIpJZl2LQ3+X+Epx5GdxwAEHxElZfS6+9BIOO/lE7i6e36bkQBV+H3eun8cFV1zOSSefZKPCpjniiCPoM3gw/1sdW03UReVVzK+q5aprromzsi0586yzGLHbntz+9fQWz4vZazfy+KT5vPjKa7Zmxo1G//79eeyJJ7nqvx+zorjtGWK/mfEHz387jVdff5OsrPjWyC0oKOCNt95m4PAdOf3ae1m3IbYtDsWbyjjjuvvo2ncQ4995l3bt2sVVp6IoqYEamkoq8yjQAfhUROpt4gj9PB7IAh5Lgra04NNPPyPgjY/XxiFOsjKy+O233+IyPsDtt9+Oz+2jOsYMqQ0pDWxi0LBBtpYoaIrhw4fz7Q/fcdzZJ/FL7Rw2+spivrfMV8mvdXMYd+xB/DRpYkI8VgDt2rXj3Qnvs8BZwhJP8zUqI6kL+visbg53P3Av48aNi5PC6Oy8886069SRP3wt28s7hQ2c87fzbAtDjoXb7rqTEeP24uGSPwi0ojSLNxjg3g0LOOyUE7nsyivioLBpzr/kUv5XElsY+xdrSzjj7LObTCoWL0SEhx97nI2uPP79c+z1fleWVnLNJ1N4/MmnGDJkSBwVbubggw/muhv/j7/9+13Wbmr9FoGf5y3l9re+5rU33rSt3mdzuFwu7r3vfk4582xOvfYelq9p+iHE6vUlnH7NPRx9/Ek88uhjZGTEp06yoiiphxqaSspijPkCuA0YA8wGbgAQkZLQz3sCNxhjfk6ayBTGGMP8+fNw0vyey9bi9xpmzJgRt/Hz8vK48647KXeVtTi002/8lJkyHn7k4biHSEbidru5+Z8389yL/2VOYDmrYzDe1nk2Mt23iIcef4T7H7g/7l6JhnTv3p0XX32Z7z2LqIoxi64xhu+8f3DsySdw0kmJ87BFcurZZzLDxB457zUBZtWu5/jjj4+jqi0RER554gky+vfitU0rWnSvMYb/bFrCwNG7cOsdd8RJYdPsvffezCneiCeGfXm/lVdzkI0lV1pKdnY2r789nh/XVPDm9EXN9i+pruXyD3/huv+7mYMPPjgBCjdz1tlnc9HlV/DXx8ezZmPL95b+PG8pN77yBS++8mrC9sKGEREuvfQyrrr6Gs6+8YFGPZsbNpVx9o0PcOEll3HV1faXElIUJbVRQ1NJaYwxt2GVL/kQKAUCgAE+BQ4wxtyfRHkpTXFxMYFAEInjxzzgNcyYHj9DE6zkGe07t29xYqCyYClHHnVkwjwUDdlvv/349PNPWe7c0KSxud67iYVmFe998B5HHXVUAhXWZ9ddd+Uv5/2Vn32x1SNc4tmAJ9/BrbffFmdljXPU0Ucx21Mcs5dwoXcjw4cOo4uNdQZjxe12899XXmaSv4Lfq2IPB/++fD0rs508/vRTCfXCRpKbm0vfnj1ZXNF0ZIEnEGBFaRnDhw9PkLLotG/fnvHvf8CrM5bz3aLG90HW+fxc/fFkTj7rHM4+55zECYzgggsv4qLLruDcJ95pkbH589zNRubo0aPjqLBpzj7nHM6/4EIuvP1xPN762wW8Pj8X3/EEp51xFuf/7W9JUqgoSjJRQ1NJeYwx3xpjjjXGdDPGZBhjOhljjjTGfJNsbanMvHnzyM7MiesTZIe4mTVrVtzGByt5xh133kGlqyJmr6Yv6KM8WMGNN90YV23NMWTIECZ8NIFFwTWU+rasO1rpr2GefzlvjX+LnXbaKQkK63P1Nf9gg6Oa9b6mjXpjDFOCK7jngfuSEiIZpmfPnvTs0ZMlvtj2uc2hlKNPtL9uZqy0b9+eR/79BP8tXY4vBuO4OuDn1fIVPPncs+Tk5CRAYeNsP2IEiyqqmuyzrLKGPj26J3VOhOnduzcvv/4Gd30zg6Ubo8/nu7+byZBRu3Pt9TckWF19/nbBhX8am+vLmq9PPHnBcm589QteevW1pBqZYS699DIGDBnGY69+WO/80299TJeefbj6H/9IkjJFUZKNGpqKspUyffp0fHVty9jaHE5cLF22tNnam21l//33p1efXpT5y2LqX0YZp5xyMt27d4+rrlgYOnQoDz/6MPP8y+p53owxzAss5+Z/3pyw/ZjNkZ2dzWWXX86s4Jom+y3zltC+S6eEZhVtjMOPPZq5weYNzaAxzPFs4JBDD02AqsbZf//96Tt4ID9XNB9S/XX5Wsbus0/CwyKjsdPuu7OguunEX3PLKthp51EJUtQ8O+20EzfcfDP//Goa/gZZc/+3YCULKrw8/NjjKRHO+bcLLuQv51/ABf9+j4qaxsPX561cz7Uvfcp/X3wpocm3mkJEuPe++xn/xfes32h9FjeVVfDqR19z/wMPpsT7qyhKclBDU0l5RKSviNwsIu+JyNeh480i0i/Z2lKZr7/6mqA/vn/gRRxkZ+Uyffr0OL+OcNfdd1HuKCPYjCfIE/RQZSq55trEZ71sjKOPPpoRO41khWfdn+dWe4rp2rsbf/nrX5KobEtOO+N0ltZtoC7Y+MODhVLCBZdelBILyEMPO5R5ZlOz3u5lvjK6dO6csIQpTXHuxRfxg7es2X4/eMr46wWpEXK455578tum8ibf598raxmz776JExUD55zzFwo6d+fzeZv3xvoCAR6fNI+HH/930j3FkVx+xZXse/AhXP/yZwSDW77PmypruPK5D7n3gYcYM2ZMEhQ2TufOnTnqqKP46NtJAHzy/a8cdOBBca+pqyhKaqOGppLSiMjVwHzgVuAYYFzoeBswX0SuSpa2VMbn8zFt+nScxD+ELeAxfPfdd3F/nT322INdd9uV0ma8V2WOMi697FI6deoUd00t4Z+33cLKYPGfZRdWSQm33H5rShhrkRQVFbHPXvuwsG5d1Ou1QS8rajZw9NFHJ1hZdLbffnuCLgfrA03vH5wX2MghRx6eIFVNM27cOOaVlzQZPlvu97K+rorddtstgcoaZ7vttsORkcnC8ujhszV+P7+tL+HAAw9MsLKmERGuuu56xs/ZXL7npyVr6d2vf0qEnTbkzrvuployeeenLfe+3/Pedxx13Akp89lryEEHH8KkmQsB+GXWwqQmhVIUJTVQQ1NJWUTkVOB+oBq4HcvIHBY63h46f7+IJKZ2RRoxc+ZMMjOycMShfmZDgn4HX331ddxfB+De++6l3JTha8TbVuWvQjLh0ksvTYieljBy5Eh69e7FhtB+wsy8bPbaa68kq4rOqWeexnJX9MQki+rWs8/e+8S1vmdLEBEOOvhg5nqbzj67wFHBIYclN2w2TH5+Pt07dWGVp3HjeGldJcMHD8XlciVQWeOICKeccTqfrN0Q9frXq4vZY/fRdOzYMcHKmmevvfZiWUkZ5bVW6O+vqzZy2FGpaay5XC4efuwJnvx8EnXezd9zc1asY/qyddxw401JVNc0gwYNYkWo1MmKtcUMGjQoyYoURUk2amgqqczVWJlmdzbG3GaM+d4YsyB0vBUYBZQDmmmgAbNmzYJAYjxlTtwsWLAgIa/Vr18/zjnnHEplS6+mMYYyZyn33HdPwsuDxMpJp57MJqxkH8cdf1zKeTPD7LfffhTXlVMZpdTJMlc5J59+ahJUNc5Bhx3CYnfjiWrKA3WU+moYNSp19g8OGDiAtd7aRq+v8dYyaGhyMiY3xplnn8PXqzdQ2WBPtjGG99du5LyLL06SsqZxu9307NaF9ZXW+72uxsuAAQOTrKpxtttuO3bYYQe+nvHHn+fe/Xk2557/t5QK9W1IXl4eNbXWd0Z1bV3KPIxSFCV5qKGppDLbAW8bY5ZHu2iMWQqMB5KbSz8F2bBhA3W18U3QE0ZwUF1dRTDY8kL0reGaa6+hTmqpC9RfpJf5S+nbvy9HHHFEQnS0hr322osyLINo3H7jkqymcTIzMzn00EP5w1O/EHtVoI7iunL233//JCmLzpgxY1hSXYK/kVDUP3yb2HO30TidzgQra5w+AwZQ7G086UtJ0EufgQMSqKh5unXrxn777ccnK+vPi2kbyzDZueyzzz5JUtY8wWAQp8N6sOMQSdj3VWvZ78CD+X3J2j9//n3JGvbbL7U+dw3xer1kuC0PvNvlwtug3ImiKNseamgqqUwlUNZMn1KgZQUWtwFyc3NxuxO1qDa43e6E1fjLy8vj71f9nQrn5v/txhgqnZXccdcdKeslBBg2bBjlNZbukSNHJllN05xw8omscNYPn13kKebAAw9IOY9xQUEB/Xr1YYUverjvMqli7wOTnyE3kh69e1GKv9HrpQ6TElmTG3LBpZfy4dqSP/caA0xYu5HzL7kkaXU+myMYDLJmfTGd8rIB6JztZuXKlc3clVy6devGpurNDyI2VVTSrVu3JCpqnk2bNlFYkA9AUX4epaWxlR1SFGXrJTX/KiiKxZfAwY1dFMuiOCjUT4lgp512wplBzHUn24IfL0OHDI3760RyzjnnUOmr/HOvZlWgim7du6Vkco9IXC4Xme4MAAoLC5OspmnGjh1LSV0F1YHNJS3WuKo4+rhjk6iqcXbbczTL/dENzZVUseuuuyZYUdN07tyZcmn881ke9NO5c+cEKoqNUaNGkV1QyOxS64FJpc/H5PUlnHDCCUlW1jiLFi2iKDebgizrsze4Qx6/T/41yaqaprq6mpyMzftzszMzqa5uOuFVsikpKaF9oWVodmhXQElJ0/umFUXZ+lFDU0llrgXaicgbItIn8oKI9AZeB4pC/ZQIdt99d3LzcwkQe+hSgbNbvWMsGGNwZQe54MILWqyxLeTl5bHvvvtS6bf2O9Y56zjtjNMSqqG1SIp6fRqSkZHBqJ12Zk0oeVHABFlZvYGxY8cmWVl0dt51F9a6t6zz6DMB1tWUsd122yVBVeO0b9+eKtO4R7PS76Vdu3YJVBQbIsIRxxzLxA3WvJhcXMroXXaloKAgycoaZ+LEiezUY3OSop17dOLnST8nUVHzzJszhz4dN7+nfbt2YP78+UlU1DwlJSV0LLI0ty/IY8OG6ImjFEXZdkiPFY+yTSAi30Q24DWs0NmTgD9EZJGITBSRRcCi0PnyUD8lAofDwX333YtkeTHN1J1sC36po0u3zknxZuy9z94E3QFLh8OX8t7MMKkc2tuQUbvvwqZQ2ZCKQC3tCopS1hO73XbbsS64pcdnvb+anl26k5kZ/1I/LSEvL4+6Jj6bNQE/+fn5CVQUO3uMGcP8asuon1NZzR4pVjuzIRO//46duxb9+XOf9vl46+pYsWJF4zclme+/+4ZdBvb68+dR/bry3bffJFFR85SVlZGfa4UnF+RmU14ePcJAUZRtBzU0lVRi3yhtB0AAF9Af2CN0dIXO7xDqpzTgkEMO4cijjsRk1sUlhNZvvDgyfbz88ktJSbLSvXt3axYAdb66lNzPFo1EhDPbRafOnfE6Lb11QR/t26eehy3MwIEDWVddVm/vIEBxoDolyyxkZWXhDQYave4N+FNuL2yY/v37s6bKMurX+QIMHJi6GVwBpk37nRHdOvz5s4gwokdnfv/99ySqapylS5eyfv16dui/+Tttv5ED+eTjj1I6iZGVDMj6W5DpduHxbBlhoCjKtoUamkrKYIxxtLKlTirJFOOBB+5n8LCBGLe9xmbA+DGZtTzz7DNJW8RHLrhEhECg8UV7KmFSeKHYkNraWhyhaeMUB3V1qbtwzM3NpSA3j/Jg/UyuJYEaBm2X2D3EseByuRrNkgsQCAZTKktuJIWFhVR5rLD8mkAwZT2vYBk/a4s30Ltd/VIbfQsyWbRoUZJUNc37773HgTsOxhkRZj+weyfyMtxMmTIlicpix2DSKnpDUZT4oIamstUhIr1FZO9k60gFMjMzGT/+bbr17kzQZY+xGTR+gpnV3H33vzjooINsUNk61qxZgwlVcMlyZ7FmzZqkaYmV2tpavKEahMXFxUlW0zxzZ84m31ghp4XObFavW4PPl5iyOa2hV/celDQoe1PuDtC3f78kKWocl8tFINj45zEQDOJ2uxOoKHYCgQCOUKkQJ6n9kKesrIy87Kx6RhtAUZabTSWpuYfwownvc9COWz7AO3CHAXw44YPEC4qRzMxMPF5r37HH50+5cHVFURKPGprK1shfgG+TLSJVKCgo4OOPP6JT9yKCzsbr9sWCZWTWcMst/+T000+3SWHrmDplKg6/9RXmCrqYNWtWUvXEwu+//06HPCv8NNU9E8FgkB9++IGeGe0ByHS46ZhdyOTJk5OsrHH6DujPxkBNvXObHF769OnTyB3JIzc3l1p/dKPdGEONz0tOTk6CVcVGaWkpBVmWEZHnclJWVpZcQU3gdrsJBLb0HPsCQVyu1DPki4uLWbFyFTsP7LnFtX2278/X/0vdJOu5ubnUea05XefxkZubm2RFiqIkGzU0FWUboH379nz66ae065KP31Hb/A1RCJoAwcwarr3uWs4991ybFbacX375hRyntRB3eJ18/+33SVbUPJ989DGFfkvzhx98mGQ1TTNp0iTcAaG9a/NisU+wiDdfez2Jqppm0LChbDT1H6YUeyrp1y/1PJodO3akrLaGQJQog8qAj+zMzJTdo1lcXEyHbEtbO5ewfv36JCtqnKKiInyBIFWe+kb9+hofPXr1auSu5DFt2jRG9u+5hQcWYEjPzqxdt56KitQsHZ2dnU1dKKS61uNL2fmrKEriUENTUbYROnXqxGeffUp++yz8tMzYNCaIyarlsssu5ZJLLo6TwthZs2YNZaVlZDmshUyuK5efJ/2c0ol2vF4v77zzLl1dVlKSL774nKqqqiSrapxnn/oPg0zHeueGZXbjo48+prKyMkmqmmbwkMGUZGw2KOqCfqq9dfTsuaV3KNlkZWXRtUMH1nhrtri2wlPNgN59Ey8qRoqLi2mXYdWkbOcQNqSwoSkibDdkMPPWbwJg6tUnATBvQwUjRoxIprSorFixgp4dopeKcToc9OjcgZUrVyZYVWw4HA4CoT3owRTeY6woSuJQQ1NRtiG6du3Kxx9/REYe+ExsYbTGGExWLaecehJX/+PqOCuMjYkTJ1KQVfBnsokMySDgD6Rscg+ACRMmkE0G+S7Lo9kxox2vvZaalXmKi4v57vvvGJZVv6ZqrjOTPlkdefONN5OkrGmGDx/Oau9mb89qfyUD+/bHkaK1S3cbvTuzq0u3OD+nrpw99t4rCYpio7y8nEKn9Z4WZKTuXscwY/fdlymrSv78uaLOy9INm9hpp52SqCo6fr8fdxPz1e1y4vc3Xn81mdTV1ZEZ2lecmeGmtrZ10TOKomw9pOZfX0VR4kbfvn0Z/854JNNDwDSd2MUYg8moY88xo/nXv/6VMlkEf/j+B6Ru89eXiJDrzE3Z/YPBYJD777mPnhEewp505NGHH8Hr9SZRWXTeeecdBmR1IdOx5R62wXTilRdeSoKq5unfvz/Vfg9VQes9XeEvZ9RuuyRZVeMcdvTRTAls6dWe7K3gkMMPS4Ki2Kirq8MlVvRAhsOBp7Zte7/jzUEHH8JPyzcbmj8vXcfo3XYlOzs7iaqi0759ezbVNP5+biyvon379glUFDurV6+mUzvLG9u5XT5rVq9OsiJFUZKNGpqKsg2y44478vAjD2MyazFNlVhw1NG5eweefe7ZlPIK/f7b72Q7GiwSPcKUyamZYOezzz6jpqyKTu7NdSjbuQvI9Lt4883U8w5+/P4E+hC9ZmavjPasWLkiJfflORwORgwbzgqfVSh+tbuOXfcYnWRVjXPggQeyuLqcEt9mw2JpXSW1TmH06NTV7Xa7CRjhxyP3xR80uFI0O26YUaNGsbG6ljXlVu3PH1eUcOiRRydZVXSGDh3K/JXRM1KXVFRT6/WlbM3gWTOmMbSfFaY+pF8vZkyflmRFiqIkm9RZOSpKAhGRniLyvIisERGPiCwTkUdEpEUV6UVkrIhMCN1fJyIrRORTETkkSt9bRcQ00xbb91s2zXHHHcfxxx8HmdFrIwaMDzJ8vPHG6ymV/dIYw/IVy8ly1k80kenIZO6cuUlS1TSWN7PTFh7hnqYTDz/wUMoVYZ87fz7d3IVRrzlE6J7bgRkzZiRYVWzsuudoVgSs8NmVvvKUDI8Mk52dzTFHH803FZuN9q+rN3D6mWem1IOdhrRr147yUEmTcp+P9p07J1lR0zidTvbdd18mLVtH0Bh+XbaWAw88MNmyorL99tuzqbKaNRvLt7j289yl7LH77im599Hn8/HTxEnsNtKqWbvriKFMmToVjyd1a+8qihJ/UvcvmaLECREZAPyGVQZlMvAwsAS4ApgkIh1iHOci4Edg/9DxYeB7YB/gMxG5qcEt3wG3NdJ+D/X5rLW/V2u46193kV+Us8V+TWMMkuXljjtup3///omU1CwVFRUYY3BK/cVWhiODNWvXJklV48yePZtVK1fRNWPLadXBXYinuo6JEycmQVl0AoEANXW1ZEnjXqosXClb0mKHnXakOJQQqNxTw8CBA5OsqGnOOvevfFdjhXV6gwF+rCjm9LPOTLKqpunZsyfFdVZ4crE/SO8ULB/TkLH7jmNmcQVLN1ZQWFiQsl5Bp9PJ4Ycfzme/zQdg1pPX/Xnt8+mLOOb4E5IlrUm+/fZb+vfqRpcO1rPadgV5DB/Ujy+/TN1yLIqixB81NJVtkSeBzsDlxphjjDHXG2P2wzIUhwB3NTeAiLiBu4E6YJQx5kxjzA3GmDOBXQAPcJOI/Fmx2hjznTHm1oYNuCOkB+AZG3/PZsnOzubfT/4byfTWy9jqp5a+/fpw5pmpt+DduHEj2Zlb7q1yipOKytRL+//Jxx/T2dEu6v5WEaFjsIAPJ6ROqROn00lmRgZe03jCES8BCgqiZ8ZMNgMHDmRDqJZm7+49U9ozCDBy5Ejy21uL89+qNjJ86NCUzJIbyYABA1heWo4xhpV1vpR7GBWNESNG8MfGChaVlLP99tsnW06TnHr6GUyYPK/ed/K60gpmLl3NYYel5t7d1199hWP2qx/ufcy40bz26stJUqQoSiqQ2n+BFaV1SKhtecHyZh4ELAP+3eDyLUA1cKaINFdpuj1QCCw0xiyIvGCMmQcsBLKBvBj0Hgb0BH4xxsyMob+tjB07lh12GIkvVPLEGINk+rn3vntSJvlPJLW1tTgdW4aOOXDg9aZemNbUyVPJp/GkI4WOPH6f+lsCFTXP4AGDWOfbMnQPrPmxtnZTyi7WO3fuTLmnOvTvTklW0zwiwlHHHQfAVF8FR598UpIVNU+7du3IysxkQ52HpaVlDBkyJNmSmqVnz56sL6tkXUUNvfr0TbacJtl1111xZ+cy9Y/NZUzenzSbY489JqW2MYRZv349P/70E0fsU9/QPGSvXfntt99ZtWpVkpQpipJs1NBUtkYeBhqr0D4udPzSNMiCY4ypBCYCOUBzmTiKgQ3AYBEZFHlBRAYDg4DpxpiNMej9W+iYUG9mJNddfx3ubOvpuZ86+vXry2677ZYsOU2SyrUyo1FRUYFbXI1edztcKVdP88hjjmKZ2RT12mpfKZ06dU5Zr1tWVhbegOWNzcxMj4Lx++6/HwCzqksZN25cM71Tg4H9+zNzUzl+Y+jSpUuy5TRLTk4OtV4vdX4/OXn5yZbTJCLCmeecwweT5wEQDBomTJ7LGWedk1xhjfDuu+9ywB6jyMut/0AtOyuTQ/falbffeitJyhRFSTZqaCopi4j0jqH1FJF6MXzGmHJjzPJGhg0/el/YyPU/QsfBTWkzlrVzCdZn6DcReUlE7haRl7H2f84BTozhd+wJHAqUA0n7a7znnnuSkWXtyXNnOzj3vHOTJaVZsrOzCQQDW5w3GNyu1Mt+2bVrV+qCjZcwqQt66JxiyVROOe1U/qhbjydo7XW8ostBf16bZ4r5y/mpOz9qa2vJcFrzoC5N6vjtsMMOAFT7fPTr19gzstSi/8CBTN1QSp8ePVIy8qEhPp+PDJeLDKcTrye1y7EAHH/8CXw7YyG1Xh/Tlqwir6CIkSNHJltWVD79+CMOGbNz1GsHjxnFZ59+kmBFiqKkCmpoKqnMMmBpM205UCoiq0XkcRHp2MhYYcKpNKPHBW4+X9ScOGPMeGA/oAw4C7geOBMr/PYFrARDzXEu4AReNcbUNNVRRP4mIlNFZOqGDfYWSBcRDjjAysLo8ddwwAEH2Dq+nRQVFeHxbRki6zd+8lPQU7HXvntT4Wz8f22pqWKvffZKoKLm6dq1KwceeCCzPPXr4JX5a1jl28Rpp5+WJGXNU1xcTFGmFV5YbPPnJF5kZVme14yMjLQw2gC69erFwooqunbtlmwpMbFhwwba5eXQLjuTDevWJVtOs3Tq1ImRI7Zn0rxlfDNzMUcfe1xKzg2/38/MWbMZNTz6s9mdhg1k/sKF1NWlvnGvKIr9qKGppDIvAz9g7bcsx8ro+nboWB46/z3wKeDD8jBOEZGEbMwSkTOAr7Ayzg7DCrkdBnwNPAE0WSBRRBxYhibAf5p7PWPMM8aYXYwxu3TqZP+vuNtuuwJWjbxu3VJ38di+fXuCwSABU9+r6Qv6UjKE78gjj2Rd3UZ8wc3JdY7oaBmWARNknX8Tx5+Qepkkr7r2H8zyrcEf8T7P9K/m7HPOIT8/9Qz6MMuXL6e90wrhW7V+bVqFWjtSsGxFYxQUFrKhzkt+QerOhUhWrlxJt8I8uhbksGL5smTLiYn9DzqEXxeu5JeFK9k/RR/+lZeXk5mZsXkVpe4AADTASURBVEXYbJiszAwK8/PYuDGWXSSKomxtqKGppDJ3AzsA9wC9jDH7GWNODWWI7QXcF7p+NdAfq0xIH+CGJsYMeyyjFwncfL6sKWGhfZjPY4XInmmMmW+MqTXGzMfyav4GnCgi+zYxzKGh3+MXY8yspl4vEYSNy04dm3MKJxcRoUePHniC9b2anqCHYdsNS5KqxunSpQsHHngAy71belFWedaz0047MmDAgCQoa5phw4ax08478Xv1ctb5ylnt3cRCzzouuuTiZEtrkkV//EF7vxU6m+Fwsn79+mbuSCFS0GPVJMYg0fOupRyLFy+mZ0E2fdrns3RZYzsrUovddtuNX/9YycrijSkbNutyufD7G89QDeD3B1Ky9qeiKPFHDU0llbkHmGGMudEYUx15wRhTbYy5HpgJ3GOMCRpjbgOmA0c2MWY4Q2xjezDDiX0a28MZ5iDADXwfJalQEMsTCzCqiTHCSYCa9WYmgsxMqxKL252RZCXNs/POO1MbqL//LpgRYPfRuydJUdNcf+MNrPSvr+fVDJggK4LF3Hhzw3KrqcNNt9xMZU83M9qVMrt9BZdcfCnx8KbbyR/zF9DBWHO5c1YBS5bEEsGeGogjPYw2gMrKCjpkZVBRkXolhaKx+I+F9M7Pokt+DqXlFVRXVzd/U5IZNmwYi1eto1+f3rhcjScUSyYFBQW43W7Wl5RGvb6pvBKvz5fy3xuKosSH1PzmUhSLvYGnm+nzM3BhxM+/AH9pov+3oeNBIuKINBJFJB8YA9SExmmKcH3Mxv56hs9HzQIjIt2Bw0lyEqBIKisrAaiuSf0F2D777sNPX/0EBrbPH4ExhlpTy+jRzSULTg6DBg1iv/33Z8p3v5DvsvYP1vhr2X6HEeyyyy5JVtc4O+20E9/+9EPzHVOINStXMdRhfTyLJDO9PJppxJrlKxhcmM+q9am/3xFg1fJl7FOQg0OELu0KWLt2LQMHDky2rCYJ16rNS+FQdRFhzJgx/PDbTE48eB8AFnz24p/Xf/ptFrvvtpt6NBVlG0UNTSWVyQS6NtOnG5uNPoAqoNE4HmPMYhH5EssjeQnweMTl24Bc4D+RHlQRGRq6d35E3x9DxxNE5IHI+pcisiNwAmCAbxqREk4C9IoxJiVSY65YsQKwkmYYY1Iy8USYfffdl+s819HR3QkRwWu8OF1OBg9uMllwUrnvgfuYMGFCvT2DqVp8PZ2pqqwiSyxjPjPo+PMBSjqQTvtJly5exIEd2zFxwfKU/74A2LhxI+0GtQOgXU4WmzZFL9+Tijii1A1OJY4/4UT+/fB9fxqakXzwzS+ceX5qh9srihI/1NBUUpkZwMki8rAxZnbDiyIyEjgJK1w2TF+s+pZNcTGWJ/QxEdkfmAfsjlVjcyHQMJZxXvglwyeMMZNF5AUs7+kUEXkfKwNuX+AYIAN4xBgzJ4ruyCRASaud2ZCpU6YC4HK6WLp0Kf3790+yosbp1q0b3bp1o2Z9DbmuXCr9lRx42IEpvdjt2LEj556bumVBthbE4SCI4ZHOB/O2b2FKz4l0ZtGSpVw9aigOrEy/qZiIKxKf14vbae0WcjudeL2NlxxKOVJ8Dh988MHceMP1zFm0jOED+/55ftHy1SxctpojjjgieeIURUkqukdTSWVuB7KxDLlnReQcETk0dHwO+BXIAu4AEJFsLE/lxKYGNcYsBnYBXsQyMK8GBgCPAqONMbGmxzsXy9CcBBwcGudA4CfgVGPM3xu572CspEUpkQQozKRJkwBwOTL59ddfk6ymeY48+kiqqSZgAgSy/Bx19FHJlqSkAO3bt6c6VLe0RgK0b98+yYpaQJp4NMvKyqipraVzdib92hWycGFzW9qTT2ZWFh6/lUHZ4w/8WVImHUj1hyVut5vz/3YBz7/3Zb3zz7//JX8979w/9/8rirLtoR5NJWUxxnwhIqcDT2EZdX+NuBwueXKuMeaL0LkM4GQ2J/xpauyVNL2XM7Jv1L/yxopzezHUYsYY8xmkVqrGJUuWUFVlRQt7awJ8+smnnHrqqUlW1TRHHXUUzz37HBW+cvIy8xg7dmyyJSkpwIAhg1j9+3cAbAzU0rt37+QKaglpYmguXryYXu0KERF6ZmewePFi9tortWrBNqRzly6UVFsJa0qqatIqOY0JBpvvlGTOPvtsHn3kEZ5+8yOcTifGBPnfz79z16MpketOUZQkoYamktIYY94UkY+Bo4GdsMqPVADTgAnGmMqIvuXAF1EHUprkyy+/xCWZQA0uyeSHH3/A7/enbKZDgJEjR7IsTerhKYljuxHbM/3d/+EzAdZXlzFo0KDmb0oRgoHUNygAVq9eTdfsUGZfp7AytL87lek/cDArp36Nxx9gU2UVPXr0SLakmGmQ2DwlKSgo4NHHHmPK5Ml/nnv4kUfo0KFDElUpipJsUncVqSghjDFVwGuhpsSB9959H3+oLKVDnDicGfz666+MGTMmucIUpYXsvPPOXFO5mkWZmxjYr39ahEh6PNaHz+dLj32D5eXl5If2Oxa43ZSWpn5inSHDhvHa5xP4Zdk6+vbskdIP0cL4fD4A/KFjqnP44Ydz+OGHJ1uGoigphO7RVFIWEblYRIqSrWNrp6KigjlzZuNic/1MX02Qjz76KImqFKV1DB06lCm/TeWL77/hw88+SbacmFi8eDEAToQNG5rLZZZ8AoHAn7H/DgG/r9FE3ynDbrvtRrFf+PfvyzjsyPTYz7169WoA1q5NjxIyiqIoDVFDU0llngDWisjbInJ4KFurYjPff/892Vl5RL69DuPms08/S6IqRWk93bt3p0+fPhQWFiZbSkzMmWMlp+6X3+7Pf6cyeXl51AWt/aQ1/gB5oXqPqUzv3r2Z+OsUfv19Ojf+383JlhMTS5YsYdftBrKxtIyamppky1EURWkxunBXUpkbgKVYNSk/BFaLyAOhsiaKTXzx+RfUVdUPzXLgZtOmTaxZsyZJqhRl22HmtOkA9JFMZs6c2XTnFKBr165s8FjfGSX+AN169kyyoq2TBQsWMLBLO/p07cSiRYuSLUdRFKXFqKGppCzGmHuNMdsBu2FlnnUDVwHTROR3EblcRDomVeRWwI8//RRKBLQZESHTnfNnyRNFUeLHrN9/B6CPK4vZv/2eZDXN079/f1aUW3nYVnsDKV1zN51ZMHcO/TsXMaBbBxYsaDaZuqIoSsqhhqaS8hhjphpjLgW6YXk3PwaGA49geTk/SJ669Kaqqori4mIcUfKC1VX7+PXXyVHuUhTFTv5YsgSAnpm5LEwDg6Jbt254gwHeWbqK+RtLGTp0aLIlbZUsXDCfAd060q9jAX8sTP15oSiK0hA1NJW0wRjjM8a8Z4w5GugB/DN06cgkykprFi9eTE52btSC4A5xMXvW7CSoUpRtB7/fz8byMgA6u7NYs359cgXFgIhw3fXXU7Ldzpx8+unpVas0jVi2YiW9OhbRq1MRSzV0VlGUNCT183srSgRiWUQHAmdj1dZ0A4Gkikpj1q9fj0OcRKvS5sBJ8YbihGtSlG2Jqqoqst0ZVHnqyHW4qKypTrakmLjgoouTLWGrJhAIUFpWTsfCPDoX5rFuzh/JlqQoitJi1NBU0gIRGYZlXJ6BFUIrwB/Ay6GmtAKv1wum8eu+NKnfpihbDVGiC5Rtj9raWjLcLlxOB7nZmVRXVSVbkqIoSotRQ1NJWUSkPXAqloE5Csu4rAD+C7xojPk5ifK2CgoLC0GiW5qGIAX5qV+2QFHSmby8PGp9Xt4Zti+VAT/52TnJlqSkAMaYP7c0CBAMRos7URRFSW3U0FRSmbVYc9QAXwEvAu8bY+qSKWprYtCgQdR5anCbjC32aQaNn6HDhiRJmaJsG7hcLjoUFLLR56E84KNb587JlqSkANnZ2dR5vASCQarrvOTk6AMIRVHSDzU0lVRmKZZx+YoxZnWStWyVdO3alfyCAmo2+nHirnctI8fJfvvtlyRlirLtMLB/f1ZuqKE84GXQyMHJlqOkAC6Xi6LCAjZV1lBSUUWXrl2TLUlRFKXFaNZZJWUxxgw1xtyjRmZ8Ofroowg6rb2YBc5uABgTxOOr4eCDD06mNEXZJhix8868Wb6SDyvXMnLXXZItR0kRevfqycoNZazcUEbf/gOSLUdRFKXFqEdTSXlEpBuwP1ZJk8woXYwx5o7Eqtp6OOuss3jttdcxns17gnymjtGjR9O+ffskq1OUrZ/LrryCXUfvDsDee++dZDVKqjBo0GD+N30Bi9eXcsoBJyRbjqIoSotRQ1NJaUTkNuB66s9VYXOu1PC/1dBsJcOGDaNf374sXbAWN1kAuHPhwosuTLIyRdk26NKlC0cffXSyZSgpxrEnnMh/n3magm4FjB07NtlyFEVRWoyGziopi4icDtwM/AicgGVUvgScBjwLBIE3Ad1I2EYuvOhCJNOLI8eLZHvIzHLr/kxFUZQkcsABB/DG2+/w6htv0bt372TLURRFaTHq0VRSmYuAVcAhxhh/KKxzmTHmTeBNEXkf+AR4I4katwpOOukk2rVrh8fjAWD48OE4HPocSlEURVEURWkdamgqqcwI4A1jjD/inDP8D2PMFyLyBXAN8FGixW1NOJ1ODjnkkGTLUBRFURRFUbYS1GWhpDJuYGPEz7VAYYM+s4EdEqZIURRFURRFUZRmUUNTSWXWAt0ifl4BjGzQpzvgR1EURVEURVGUlEENTSWVmQZsH/HzN8BeInKmiOSKyOFYSYKmJUWdoiiKoiiKoihRUUNTSWU+BrYXkX6hn+8ByoEXgQrgQ6xMtP+XFHWKoiiKoiiKokRFjDHN91KUFCFkdF4NDACWAU8aY2YlVVQSEJENwPI4DN0RKInDuPFENcefdNML6ac53fSCak4E6aYX4qe5jzGmUxzGVRQlTqihqSjKn4jIVGPMLsnW0RJUc/xJN72QfprTTS+o5kSQbnohPTUrihIfNHRWURRFURRFURRFsRU1NBVFURRFURRFURRbUUNTUZRInkm2gFagmuNPuumF9NOcbnpBNSeCdNML6alZUZQ4oHs0FUVRFEVRFEVRFFtRj6aiKIqiKIqiKIpiK2poKoqiKIqiKIqiKLaihqaiKIqiKIqiKIpiK2poKoqiKIqiKIqiKLaihqaiKIqiKIqiKIpiK2poKoqibEWIiCRbw7aAvs9KQ3ROKIqi1EcNTUVREoKIOJOtYVvAaM2quCIi/UVEjDFGDQslknT77IlIh2RrUBRl60braCqKEndE5AnABVxhjPEkW09ziEiOMaZGRBzGmGCy9cSCiOwA9Aa2B74HFhtj1idXVeOIyL7AjsB+wE/Al8aY6clT1Dwi8hiwE/BP4LuwsZnKBoaIZBhjvKmuM4yIDAR6AH2x5sUaY0xtUkU1g4jsDmwH7AN8CfxqjFmcXFVNIyKPY73P1xpjFiVbT3Ok2zxWFMVCDU1FUeKKiFwAPBX68VHgOmOMN4mSmkREbsZa5F5rjNmYDsamiNwIXAj0DJ0qAz4A7jHGLEySrEYRkX9i6W2P9QDCAfwM/M0YMzeZ2hpDRA4HPgr9+A1wO/BjKhubIvIPIBN4zBhTmao6w4jItcB5wMDQqXXA08Bzxpg1SRPWBKHP3sVAZ6y57AXeAa43xqxKprbGEJFTgddCP74J/J8xZkkSJTVJus1jRVE2o6GziqLEmz6h42zgCuBeEclIop5GEZHbgNuAY4EbRKS9MSYoIin7XSkiDwJ3AquAK4EngeXAGcAJYpEy+kN6bwJ+AY4C9gBeB/YEdkiitOYIh36/C4zGMjT3StUwWhG5E7gPOBc4R0TyUlFnGBF5CLgbqMJ6b98BDNac3ifUJ2XmMfyp+WZgOnA8cBLwA9b3x8DG70w67ULHr4FTgLtEpH8S9TRKus1jRVHqk1Jf2oqibD1ELAS+BpYAzwDzaWBspsriUUSOAa4ClgIbsRa4N6WysSkiF2N5gB4DzjDGPIb1O9wMVGMtIrNSxSMrIldheTKfBq42xnxpjJmCNTcABidNXPNMAkqBGcALwFishxJ/GpuRnZO5EBaRE4CrgZVANvB/wF9TdZEuIlcA5wOPAycaY24FzgLuAoqAS0KhkykxjwFE5BrgIqy5fLkx5iNjzDvAK1jv+Yhk6muGb4Fi4LNQO5kUNDbTbR4rirIlKbdwUhRl6yBi4b0O6I/lwToHmMtmYzM3ZMSJiHRPjlIrwQtwCZCLFQZ3PJZRfDkpamyKyDDgb1ie4qeMMUtCYb5e4BNgGjAUKww46YjIOCwj83/A48aYpRGX+wABYJmInC8il4rIPsnQGY3QgtaHFRZZiuVx+w8wBsvYHBfRdxwkLzGMiAzFmrdOrDl9EZbuG0jBRXpob/HfgCnAv40xi0XEaYypA57Dmt/92OyFSzoichDWXP4YeKJB2Gk21vu9REROEZHjRGTnZOhsgkqgEPgD64Hap2w2NoeEO4nIyKSoI/3msaIo0UmZRZOiKFsfoUyzK4DVwN7GmMlYC5s5WMbm/4lINjAZuEZEipIktRArmcdNxpgvsIzhS4AFpK6xOQIYCTxijFkAENLnDhk507D2jKXKAr0AK5zw8cjkIyKyE5ah4QT+ATyC5aH9VkTOT4LOaIgxpgzLGDrIGLMBy/v2DJZn83oRGScivwK3hh4CJIuOIU03G2M+xooouAnwAzeSeov0XYFhWPP4DwBjTCA0j71Yn8FuQOcU0QuWnn5Yc/nPpD+huXw+kAHcg7UP8h3gRxE5MhlCGxJ6GLUK6zv4wNB7fjubjc0bRWSQiEwO/btXkqSm2zxWFCUKqbJgUhRlK8QYEzDGVAKLgQNC574C/g7MBK4DFgKjsJ6yJyW7pDFmGnAc8HzoZz/wI9ZT9GjGpisZOhuwHvgXVmKaP0M1jTG+0PXi0LEq8nqyMMZMALY3xnwdPici2wPXYnkGbwfOxAqVvAjLw/mfsIcwmUSEbC7ByjqLMWY+8ARWgqtxWHs3d8XK+PtHEmQS0vUTVibfl0I/VwLvYS3OfWy5SE/2XK7Feg+/jDwZMY9XY3myKlMoAcwrwChjzA/hEyHP7LVY32X3YD2o6g3ciuXlfENERiVean0i5vIiYK/QuclYn78PsD6DPwG7YH03JyVzdRrOY0VRoqCGpqIocSPC+zcH6BU65w4Zm1cDNVgp9idhZRT0JNogijDQfo0sBxJakE1kS2OzY8gQRUT2F5E9Eqk3gh+Ap40xG0N6TUhT+P0Ll5FxNLg+LBSWljAi5sG8Bhq3x/KiXGSMudUYM90Y4zPG/Adr4QvWgjepROidAhSJSJ/QPJ6P5dUswTKQlwKTIuZHoudy+P/1d8aYdeHzxpgq4H22XKQXRmjdM0mhkm9ghczWRZ6MeO98gJsG6xWx6pn2IQkYY4Khh1OROnfDmssXG2NuNMb8YIxZbYy5Hfg3kAMMiT5i4ojQOx3oKiJ5of2vk7EeXJUBnYBZwDsmCRnC03QeK4oSBTU0FUWxnQjjLfz0/EdgiIgMN8b4QguJW7Ge9G/Ayjx6tYhkx9tr0XDxH3oaHvW7sBFj8zoRyRKrDuTjwAQR6RRPoyLa2MYiWvmEcF9/6JgdMc6uwP3AyyLSLl6ao7zHwVDIngn9HD6+CYwOGZaIRVbott9Dx27x0Nic5tC5ekY61uI7D9gtYh4/j1XaYgqWB+sKETlAJPElGJoK7W5kkX6miDhFZH+sbMXPxXNeNCT0HgVN9DqO4Sy/BmtOR87j3YAHgPtEJD/+SusT+R5HzOVngX2NMU+H+kTO5Vmh46CECo0gylyeDHTB8sx6Q9cfwQpx/wMrNP/vIpLwBF3pNo8VRWkcDTVQFKXNiEge1vdJZShctuECuzh0PWx4/ozlqboBy9t5O1YYba6IXBHPBXrIsOyFtaDyAisbelMa9A+KyESsULgnsPaY9gWGYyXbOS60Zy9utFBz+L1zh44VACKyC5ZxfyiW5tJk6hUr4Usg5EkJL4RNRL89gDqsrJhxpznNIX0VWB6fnNDpSVihkjdjJWA6A8tTnwP8hpU4KK6ISEcsI6waKDNNZGY1xlSJyPtYD5nvwNrzth2wd+h4dDznRTS9bJ6vDQmEjg6s743IeXwL1jw+OhRSGVeae49DD1GC4VDaKHN5KFYIe73w4GRqBjZhvcfhdWB4Lv8f1sO1K4Czsb6TzzbGxHVbQ7rNY0VRYkMNTUVRWo1YCS72xtrfmAWsEpFlWF6zRcZKoAJWcp1lwIkicghWmNkdWNlSK0XEh7VP66t4GpkichrWAvXwkF4/sFRE/gt8Y4yZHepXzxsVWvR8LyLnYtV8PD506RhjzIfx9F61VHOEjrChWR0KJbsdOAQ43hjzQbw0x6qXzQ8dwvypXUT2A07H8gTFfb9jLJpDc2CZiMwAThaRC7D2ZN6OlRSmUkQ8WJmLP0qAwXYCsD9wDNYCvRRYLiKPAL8bY1ZEuy+0SH8Ly4h/GCt7Klhz+aM4zosW6Y3Q4AxprRFrH2TkPI6b3hZqbvj6kXN5f+BErORcK+Ohs5Wa52M95DtVRG5n81z+d2gue7Hm8svxNDLTbR4ritJCjDHatGnT1uKGZSiWYD2pn4G1/241lgGxFqvI9uBQ31ysMgVBrIXELUBe6JojdGwfOkqc9N4LlGN5Vz/ESt4yLaTJgxVKNi6ivzTUg2WILAvdc1j4eippjng/rwv1uxj4PPTvY+OpuQ3vsSPi3H5YJVA8wP4JmMcxaw69b29HzPFo8zg7nvM4NPbdWN7AMqzkQz9iGeThz9fbwC5R7oucy8eFfoe4z+XW6AWcoeMTWInCTge+SMQ8buN7HDmXx4Xmcm3kvE/yvBgV6usGvgtd29DIXC6I51xOt3msTZu2lrekC9CmTVv6NSyPpR8r++IeoXPtsfaoPQeswXrS/BpWplGAY7ES2NwP5IfOORKxIMBKcuHHKq6+U8T5HKzanuEF7BoaMW6Ag7H2aQaBI0Pn4rnQbZVmNi/Qbw5d/53EGJl2vMcXA1OxHl4cHdabIvPioNC1TlilIB6OnMfxnsMR2u4JaX4O2DV0zh36/N3CZiP5Z6y9pNHGOBTLmxX3udxavYArdHwmdP3XRMxjG9/j87AeUtQkaC63RHP4O3tn4CvgQRL/nZxW81ibNm2ta0kXoE2btvRqoQV4NVYmxT5Rrmdh1ZKbi+URegSrlmMO1v6Z8FPzhCwGgBOwnpj/F+gdcT5skDmwsp++GVqwTAd2aDBGHvBPLOM5EQtdOzRfFboWjFzoxkNzW/ViJSW5g82G8QEp+h6HvUE5QG4i53HotU7D2qv4nwaawx4oN9bi+9uQ5g+A/g3GaAc8hbXIPybO88IOvXdHzOO46rVDM1YW7YdC12Zh1apMWc0hvQmdy+k2j7Vp09b6lnQB2rRpS48W+iOeAUwAVgEjo/SJXChchBVauwYY2+B6Ip6Yh8Myn8EKw9oiBKtB/x2xalJ6gesj9Yb+PYKQcRTHhbkdmsOeoCOwvEBxCyezQ2+Etv2wavgNSoP3eIuw6ni2iNd7HSvEd8cm+jhC/+/nhH6/UxpqxdpXPToB86ItesPz+DKs+qXxDu9ts+YIfWdhJQ8bmuqaEzmX020ea9Omre0t6QK0adOWPg2rDlwd8HwTfcILhSzgLawn0h8S8hQlWG9HrOyK34V+bjTEMbSwuTykdwYhz2tTv2Mqaw4tvLpH/Dte3hTb3uOm7k1VzYlqWHVoq4H3G5uDEZ89N1Y4ZBD4CchsYtx4zQtb9GIlAwp73+JqTNj5HhMylNN1XqSb3njOC23atLW+aR1NRVFaQg8sr6YPQEScDTsYY9WlNFZq/7uwEq10xTI8E012qLlEJJtGSimE6/kBL2Il++mL9btGxRgTdRybaLPmiAy0a8J646jZtvfYNFHSwGbiMi/iTHsszSZUHzBqbdWQZh9W+OZ6oDtQ1NigcZwXbdYb+h4JGGOWhPvH+bNn23tsjPE3vDdOxGVexJF0m8eKorQBNTQVRWkJntCxJ4AxJhCtU4TBUB069gI6xFdaVKqxwncLsJ54m2iFwEPnXVje2gogn+ToBRs0J3jRtU2+x0mgGiuxTOeQtmC0gvThRTqWZi/QDSuBUaJps94EPngIk27vMaSf5nTTqyhKG1BDU1GUlrAMa7/MPqEamlGJWLSXYi0SVgDr4q5uS2qwnoZvD1wL0Rc2oafnfmOMN3RqPla5lmSQbprTTS+kp+aSUNsT+BvUW4z/ScgLaLASHfmxMiUvTaxUIP30gmpOBOmmV1GUNqCGpqIoMRFadK8GXsAKfTpJRPpGXo/oF/ZEnIj1FHoN0EVEhopIQp5Kh3TUYZWwqAVOEZHjYXN4b6hfeEGDiJwCjMQyjg8UkUNFZHcRyVHN6a83zTWXYYUR+rA+e3tEaI722TsD6IcVuj4ipHeg6lXNydKcbnoVRbEBkwIbRbVp05Y+Ddgfy0MZxCpdMiDimivi33uwufZdkM2FuR8CihKotxfwKhAAJgInNdJvNJsLmAexFkIerP15HRP8HqeV5nTTm8aad8Qqah8ExhPK5hy65mig+acIzbVYXtz/AO1Vr2rWeaFNm7ZEtHBmL0VRlJgRkTOx/thnAe9iZRB8PfQk2ojICcDFwL5Y9SezsZJArABeMqEkNQnUuydwM3AgVmmWd7EMXj/Wk/JTgb9ihXNdghXa1SN0/MYYszaRetNRc7rpTWPNhwP3A0OBX4D3sWraijGmWkROwwpJ3Bu4Gut36YIVVfBBEj57aaVXNateRVHsQw1NRVFiJmxIhv59BnALViZOJ/AbUAXkAcOxFuoXGGM+TI7a+oSMinOBk4BcYC2Wd8qJtYBZCVxhjPk4aSIbkG6a000vpK3mw4G/YxnAWcBCrKQpmVhhhsXAJcaYj5ImMoJ00wuqORGkm15FUVqOGpqKojRLAwMz0xjjCf17LDAWOA8oxFosLAc+BsYbY34L7buJ3HOTaL3tjTGbQv/ugpUA5kqskiv5wAYsT9ZXxpjZydCbjprTTe9WojnPGFMV+vd2wM5YNT7bYxnJa7A8Qx8bY6aHNDtMI9mhVa9qVr2KosQTNTQVRWmSBguEvYDBWAuA9RF92mOVisgBlhtjqqMOlgAa6B0LHIkV5vhFRB8XVjK0LKAq0cZDQ9JNc7rpDenZGjTvCXxhjJkR0ScHS282sMFszpCbcNJNb0iPao4z6aZXURT7UENTUZR6iJVtMxj6d+QCYQzwILAbVgKgpQ37RIyxxTmbNQpsWS8yit77sJIS7WiMmdnUePHUG34NSB/N6aY3/BqQPpqbGj+K5vuxkqNsZ4yZ39j98dScbnpVc+I0N3gtZ9j7mA56FUWJH65kC1AUJXmIyN5Yeyz7YtXI/CLSU9lggXAnVrbAg8JGZmSfSOK40D0eK8xqIFAqIq8AS0woKUuDp+Z3AaOAA40xM5tauMR50ZhWmtNNb7pqDo8fuSiP9tqhz95dWL/fQcaY+WHNifzspaNe1Rx/zSEd/YFhwGLgXWNMWVh/qulVFCXBmBRIfatNm7bEN6w6ghvYnDo+iJUV9gKgf0S/EcAcrCQN40LnHEnQ+wBWentf6BjESjg0Htgnol8/4COsshX7JUtvOmpON71prPlprLDd8M/ORvoNwirv4EvyvEgrvao5YXr/iZU8K/JvyG+Eyv6ENaWKXm3atCW+JV2ANm3aEt+wniwHgVeAw7GK0T+JlTW2DHge2Dmi//+AQ0P/TsaC5tqQgfAoVuhuB+Ay4Cs2G8hHRvS/G9grWXrTUXO66U1jzTdFLMrHR5xvzKh4Adg/ifMirfSq5oTpvS+k9RvgQuAiYHLo3IdAVirp1aZNW3Ja0gVo06YtsQ2rtmUZ8DbQJ+K8k80GaAWWR2jnBvcmdIEACNALmA5MjdQbut4PeDykuRQ4Jpl601FzuulNV82h1z0C2IQVYjg3pO/diOvOiH87GtybjPc5rfSq5oTp/Vvob8jDQN+I8+1C+lcAnRpqT+Z7rE2btuQ0B4qibGtsh5Uh9m1jzHKwsm0aaz/Qv7BqmeUAxwDnikjn8I0mwVk4jTEGq9TEQGByhF5H6PpS4B9Y4ZOFwIOhfXhJ0ZuOmtNNb7pqFpHuwKVAEXAqVlmgmcCxIvJOSFdARJzRNCZac7rpBdWcIL19gbOxjOJnjDHLQufdWMbnj0BPrHJBmAb7TJPxHiuKkjzU0FSUbY++oWO4hqAT6wk6xipLYrBCnyYCZ2Alefgzo2cSyMYq4N1XRDJDRvGfixVj1fS8BfgPlifrXBEpSqJeSD/N6aYX0k9zJtY+57uMMZONVcPzJCyj4jgReTek+0+jIsmkm15QzYlgJ6yMzfcZY+aFTxpjfKEHQFNDpzKTIU5RlNRCDU1F2fbYFDpeISIdjZUZMFzO5Ggsb+cbwItYXqMbRMQdWkQkg8XAFKzaa4ONMf6w5yqMMaYWa5/eL8DRQI8k6oX005xueiHNNIe8rDdihRuGowgWAiey2YMVaVRkhO9NhnGcbnpDOlRz/PkQeAIrbD0antDRinFPDeNYUZQkoYamomx7PA/MAA4D7hGR/iKSISLHAddj7X+bZIx5EevpdH+sUNqkYIwpw0o4UQC8JCI9jTHBKEbFfOBzrBC0IxKts4GWMtJIc7rpDWkpI000R4T0zg15rAgbxsaYP4huVHhD9+4PHCAiWapXNSd5XrhCDyYvN8YsaKRbebg7bA6dFZGRIjI4EToVRUkd1NBUlG2I0BPwTVhJfxYBfwUmYSVweB1r/+apxphVoVvmAO2BzluOFn8i9iX9H/AtVh3Px0WkW6RRISLhmsBvhY75idYaJt00p5vekJa00hzStIX3Kaw1ilExHkBE9sV6MPQqVqIV1dsIqjkheutFDTTiUQ2Hrzsj+o0CngK+EpGiuIpUFCWlcDXfRVGUdERECowxFZHnQmGDfhH5BCsz4E1YdTK9WIbmE8aY3yNu6QiUYNVKi7feXYAhQA9gvTHmpVComCMU2ns5Vjjv0YBDRC4xxqwKPWX3h4bZI3Sc13B81Zx+ercyzVFDdiONChE5GXgTOF5EvsdKZNQTONkYE7fPYLrpVc3JmRfAy6b+Puho2nNDx4rQGLsBtwK7A2eEIhEURdlWMCmQ+labNm32NuBB4FmsPWnN9e0M5AEZDc4fiLW4eBpwAxJHvf8E1lG/8Pef5VfYXPh7dzbXapuLVTuxKHRtL6x6n2uA4Ql4j9NKc7rp3do1R7nPHTr2xMr8HL73qND5uHz+0k2vak75eXFaqO/uWJEGn4V+Pjbe77E2bdpSryVdgDZt2uxt1C/8/QjQrZF+jdZjw0qx/wVWuvo946z3/pDWL7GKfp+PFdYbBP4Tpf/gkLYgUIO13/RrLKO4DjgyAe9xWmlON73biuZGxtgD+CN0z6GhcxKPBXq66VXNqT8vgBNC/f4PK3FQPSMzXu+xNm3aUrMlXYA2bdrsa1jJTkqxwmJ/D/2Rf5xGjM1Gxvg/rBDDauDoOOu9MKT3EaB3xPmdgQ1ALTCokXuvASYAG4EFwPvAvqFr8fRMpJXmdNO7LWqO6HsUltcqQITHKh66002vak6PeQGchfV3J2wUHxfv91ibNm2p25IuQJs2bfY0oBfwXeiP+z5YYUs/0QJjE6vI9rtYRbf3D52L14KmH1bZid+AoaFzDsAZ+vejIe2jG9znjPi3hMbJB/LjqTcdNaeb3m1Nc5Rx/kICPEDpplc1p8+8wEowt0V4b7zeY23atKV202RAirL1UIu1KHjYGPM9gIj8E7gNuCT0879ME8kjjDGzReQKwGeMWR/OKmiMMXHQuxPWXrozjFWCAhORaAIr5BGga0i7GItAxL8NsDR8PY5a01VzuundpjQ3HMQY84KI/GiMWZSKn70k6lXN6TMvJmAZm/cbYz5M0OdPUZQURQ1NRdlKMMaUiMgpgDdiwf2NiBjgdpowNiMyeGI2lzaJ9+JgNvBfrEQtkVrCi5eNoVOOiGMgUlfkQidBC5l005xuerc5zQ37GmMWhc/FUXu66QXVnBbzwhizUUQOMMbUqZGpKIrW0VSUNEa2LE6/xhhTYowxsrkY+LdYGQQnYhmbN4pIj4gx9gaOE5HsROkVEacxZiHwD2PMhga/Q3hRUhU6ekPnw4W/h4jIKBFxJ2IBk26a002vao6u2e7fId30qub0nBeh83Xh+9TIVJRtG/VoKkoaY+qHNTX0TAYjnoZ/K1YYbdizGRSRW7AyGT4K+IApwPJE6A0vUAgtXBoJwQp/P0UW/t4FeCB07nigOJ56If00p5teUM3ovIiKatZ5oShKeqOGpqKkISJyCDAMGImV8GeeMebnSOMSrCfKDYzNW7GKZ18G9MYqxj0QON4YEzcjswm99UIeQ33D+jNDpzyh87tjeWb3xipUHtcFTbppTje9qlnnhWrWeaEoylaOSXI2Im3atLWsAfdilR7xszm7XyVW7TNXI/dIxL/3AKZH3Htkwz7J1hu671w2Z9Ddjs2Fv4+Jp9501JxuelWzzgvVrPNCmzZtW39LugBt2rTF3rCeHvuxEjbsCRyAVTfQE/qD/y4wsJkxxgHLQv0PC52LV7r8VuvFylwYAG4I9UtUSYK00pxuelWzzgvVrPNCmzZt20ZLugBt2rTF1oD+WAbiZ0QU0g5d2x2YFvrD/wnQP3Te0aDfEcAMGngy47SgaZNe4IrQ9bUkqPB3umlON72qWeeFatZ5oU2btm2nJV2ANm3aYmvAmNAf98tDP7si/8Bj7bX5MdTn7Yj7IhcK/0eCCmm3QW+4OPj5RAnvjeeCJt00p5te1azzQjXrvNCmTdu207S8iaKkD+HPa38AY4zfhAgla5gJXArMA04QkTtC/YLhAYwxdwI7msQU0m6t3nD2w1+AxVgLmo8SoDcdNaebXtWs80I167xQFGVboSkrVJs2banTgL5YCRxmYxmLDa+Hn0rviVWuZAUwPOK6M1r/VNTL5ifoeeG+8dabjprTTa9q1nmhmnVeaNOmbdtp6tFUlBQk/KQ4/O/Q0+ZlwHNY2f5OFZHMyHuM+fOp9M/AI0BPYEDE9UDD/qmqN0JrdbivnXrTUXO66VXNOi9Us84LRVG2bdTQVJTUpFBE+onIICA74g/6R1hPma8BLoxyX3hxMSN03B7qLzriRFz0xnkhk26a000vqGadF9FRzTovFEXZBlBDU1FSDBG5ABgPTAGmAs+KyFEAxpivgDsBAzwsIn8XkdzwvWbzfswirBT2s0Pn47Y4SDe96ag53fSqZp0Xqjl5mtNNr6IoWzEmBeJ3tWnTZjXgIaw6ZSXAt8AarD/2vwK7RfS7GGsPTRArxGnPiGujgZ+AJcAg1ZvemtNNr2rWeaGadV5o06ZNmzFGDU1t2lKlYRXB9gCPAtuFzo0Cng0tBq5o0P8crOyAgdBi4nXgeWB+aJzDVW96a043vapZ54Vq1nmhTZs2beGWdAHatGkzAOOApcDbQN8G1w4LLRJ+BJxAZsS1PYFbgQ2hPlXAd8CBoevxqseWVnrTUXO66VXNOi9Us84Lbdq0aYts4VTWiqIkCRFxAvcCVwFjjDGTQucdxpigiLiA6VjbZEaEromJ+PCKSCegHVAHlBtjyuOVvCHd9Kaj5nTTq5p1XqhmnReKoigNcSVbgKIoOLBCl/4TXiBAvaQMAtQAnSKu1fvDb4zZgPVEmsb6bMN6If00p5teUM001mcb1guqmcb6bMN6FUXZRlBDU1GSjDHGJyL3EbEICCMiDqxEDuVAdxHJsG4xvtD1zsaYYtXbNOmmOd30gmpWvdFRzapXUZRtFy1voigpgDFmozFmfpTz4SfSBmuxEIhYIOwCPCgiVyRO6Z+60kpvSFtaaU43vSFtqjnOpJvekDbVHGfSTa+iKNsGamgqSnrgAvzGmAD8uUC4AzgdWJhMYY2Qbnoh/TSnm15QzYkg3fSCak4E6aZXUZStADU0FSWFCSdjYPMeHERkNHA7cDBwvDHms4h+SSXd9EL6aU43vaCaE0G66QXVnAjSTa+iKFsXukdTUVIbwUpHL4BPRMKp6A/AWiC8n2ILhHTTC+mnOd30gmpOBOmmF1RzIkg3vYqibEWoR1NRUpjQ/pog4AY6AtcQZYGQKtkB000vpJ/mdNMLqjkRpJteUM2JIN30KoqydaGGpqKkPgJ4gM7A0cCJKb5ASDe9kH6a000vqOZEkG56QTUngnTTqyjKVoIamoqSHizGyhp4pDHm3TRYIKSbXkg/zemmF1RzIkg3vaCaE0G66VUUZStA9DtGUVIfEekOdDLGzEiHBUK66YX005xuekE1J4J00wuqORGkm15FUbYO1NBUlDRDRCSdFgjpphfST3O66QXVnAjSTS+o5kSQbnoVRUlf1NBUFEVRFEVRFEVRbEX3aCqKoiiKoiiKoii2ooamoiiKoiiKoiiKYitqaCqKoiiKoiiKoii2ooamoiiKoiiKoiiKYitqaCqKoihphYicIyJGRM5JthZFURRFUaKjhqaiKIqSNEIGY0vaOcnW3Bgi8l1I474x9H0x4ne6vYl+Z0f0+85GuYqiKIoSV1zJFqAoiqJs09wW5dyVQCHwKFDW4Np0YCnwC7A2jroShR/4i4jcZowJRLl+fqiP/r1WFEVR0gr9w6UoiqIkDWPMrQ3PhbyWhcAjxphljdxaHj9VCeVj4BjgEOCTyAsiMgwYA7wPHJtwZYqiKIrSBjR0VlEURUkrGtujKSLLQi1PRB4WkZUiUisi00XkmFAfl4jcJCJ/iEidiCwWkUubeK2DReRTESkREU+o//0iUmTTr/MaUIvluWxI+NxzjWjLEJHLReR3ESkVkZrQ7z9BRA6wSZ+iKIqitAr1aCqKoihbE27gf0B7YAKQAZwKvCsiBwEXA7sDnwEe4ETgcRHZYIx5K3IgEbkFuBXYhOV5LAZGAv8ADhORPYwxFW3UWwaMB04Tka7GmHWh184EzgK+BxY2cu+Lod9tNvAylsHaHRiL5SH9qo3aFEVRFKXVqKGpKIqibE10B34H9jXGeABE5BXgByyDbjGwvTGmLHTtIWA+cD3wp6EpIuOwjMxJwGHh/qFr5wAvYO0v/bsNmp/FMir/AtwdOncs0CF0bQtEpBA4BfgN2L3h/k4R6WCDLkVRFEVpNRo6qyiKomxtXBk2MgGMMT9iJRBqB1wXaTQaY5YAE4HtRcQZMcbloeP5kf1D97yIlZTodDvEGmN+wjJ2zxMRCb8uUAq829htgGB5ZYNRxtxohzZFURRFaS3q0VQURVG2JsqMMYujnF8D9MPyADZkNdbfw66hfwPsAfiAE0XkxCj3ZACdRKSDTUbds8CDwH4ishwYBzxujKnbbHtuxhhTISIfAUcC00XkXeBH4FdjTI0NehRFURSlTaihqSiKomxNNJaN1g9gjIl23R86uiPOdcD6G3lLM6+XB9hhaL4M/As4D1iO5a2MGjYbwcnAdcBpbC4TUyci7wD/MMast0GXoiiKorQKNTQVRVEUZUvKAYcxpn0iXswYUyIi4TImFcAkY8zsZu6pxdpHequI9AL2Bs4BzgD6AnvFUbKiKIqiNInu0VQURVGULfkFaCciwxP4ms8CmUAnmvdm1sMYs9IY8xpwMLAIGKsJgRRFUZRkooamoiiKomzJw6HjsyLSveFFEckVkdE2v+a3wNFYXs03m+ooIp1EZESUS7lY4bx+wGuzPkVRFEWJGQ2dVRRFUZQG/H97d6gSYRBFAfjcLiabwRcRtFl8oH0F60YfwCwGm02rgiaxCPYF8QGuYUyyuyw4tu/r/8zU8w9zT3ffVdUio27krapuMybX7iU5SnKS5D6jr/K3xU8FyjrL7n7csGcnudnxiIdJnqrqJclzko8k+0nOM4YaLbv7a8e1AGA6QRMA1ujui6p6yKg6Oc64bfzMmEx7meRqw6dnW5a9zuj5/Kv3jEFFpxkTag+SrJK8ZnSCbr0RBYD/VuMHKgAAAMzhjSYAAABTCZoAAABMJWgCAAAwlaAJAADAVIImAAAAUwmaAAAATCVoAgAAMJWgCQAAwFSCJgAAAFMJmgAAAEz1DajCrRvB/x+eAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x936 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax0, ax1, ax2, ax3) = plt.subplots(4,1, figsize=(8, 13), sharex=True)\n",
    "# sns.set_theme(style=\"ticks\")\n",
    "sns.violinplot(data=results_df, y='avg_f1_macro', x='model',palette=\"rocket\", bw=.2, cut=1, linewidth=1, ax=ax0)\n",
    "sns.violinplot(data=results_df, y='avg_rouge', x='model',palette=\"rocket\", bw=.2, cut=1, linewidth=1, ax=ax1)\n",
    "sns.violinplot(data=results_df, y='avg_bleu_uni', x='model',palette=\"rocket\", bw=.2, cut=1, linewidth=1, ax=ax2)\n",
    "sns.violinplot(data=results_df, y='avg_bert_score', x='model',palette=\"rocket\", bw=.2, cut=1, linewidth=1, ax=ax3)\n",
    "plt.xticks(rotation=45)\n",
    "# plt.legend(bbox_to_anchor=(1.05, 1), loc='upper left', borderaxespad=0)\n",
    "ax0.set_xlabel(\"\")\n",
    "ax1.set_xlabel(\"\")\n",
    "ax2.set_xlabel(\"\")\n",
    "ax3.set_xlabel(\"TimeLMs\")\n",
    "ax0.set_title('Performance of TimeLMs *on average* across the last 4 years (2019-2022).')\n",
    "plt.savefig('plots/Results_avg_last4years_quarter_multi_token.png', bbox_inches = 'tight', dpi=500)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "349b28aa",
   "metadata": {},
   "source": [
    "## We can also explore the logs and predictions for every model in every split individually. For example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b952bf76",
   "metadata": {},
   "outputs": [],
   "source": [
    "split = \"updated\"\n",
    "model = \"twitter-roberta-base-2019-90m\"\n",
    "seed = 42\n",
    "N = 100\n",
    "M = 5\n",
    "topk = 20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "0a29443b",
   "metadata": {},
   "outputs": [],
   "source": [
    "full_log_filename = \"full_results_{}_2020-Q2_{}_{}_{}_{}.pt\".format(model, split, N, M, seed)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "8249358d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# for full log open\n",
    "ddict = torch.load(os.path.join(RES_DIR, full_log_filename))\n",
    "columns = ['text', 'gold_label', \n",
    "           'gold_num_masks', 'relation', \n",
    "           'num_answers', 'f1_micro', 'f1_macro', 'rouge', \n",
    "#            'bleu', 'bleu_uni_precision', \n",
    "           'bert_score', \n",
    "           'best_log_probs', \n",
    "           'best_pred_tokens', \n",
    "           'best_pred_strings']\n",
    "dddict = {key: ddict[key] for key in columns}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "a5cf0d66",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(data=dddict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "4c8b83d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>gold_label</th>\n",
       "      <th>gold_num_masks</th>\n",
       "      <th>relation</th>\n",
       "      <th>num_answers</th>\n",
       "      <th>f1_micro</th>\n",
       "      <th>f1_macro</th>\n",
       "      <th>rouge</th>\n",
       "      <th>bert_score</th>\n",
       "      <th>best_log_probs</th>\n",
       "      <th>best_pred_tokens</th>\n",
       "      <th>best_pred_strings</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Andre Iguodala plays for &lt;mask&gt; &lt;mask&gt;.</td>\n",
       "      <td>[ Miami Heat]</td>\n",
       "      <td>2</td>\n",
       "      <td>P54</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
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       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.9150390028953552, 0.9190067052841187, 0.875...</td>\n",
       "      <td>[9.315415382385254, 10.234005451202393, 7.2221...</td>\n",
       "      <td>[[3426], [5, 6772], [1731, 3245, 122], [162, 9...</td>\n",
       "      <td>[ Liverpool,  the Lakers,  Barca now,  me so d...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Miroslav Lajčák holds the position of &lt;mask&gt; &lt;...</td>\n",
       "      <td>[ European Union Special Representative]</td>\n",
       "      <td>4</td>\n",
       "      <td>P39</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.8248672485351562, 0.8572892546653748, 0.864...</td>\n",
       "      <td>[9.424880981445312, 7.775924205780029, 9.62523...</td>\n",
       "      <td>[[394], [5, 394], [1231, 9, 5721], [5, 1993, 2...</td>\n",
       "      <td>[ president,  the president,  Chief of Staff, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Matt Carthy holds the position of &lt;mask&gt; &lt;mask...</td>\n",
       "      <td>[ Teachta Dála]</td>\n",
       "      <td>5</td>\n",
       "      <td>P39</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.7966454029083252, 0.8296538591384888, 0.820...</td>\n",
       "      <td>[8.447942733764648, 7.612443208694458, 7.56116...</td>\n",
       "      <td>[[394], [5, 183], [10, 140, 9906], [10, 1172, ...</td>\n",
       "      <td>[ president,  the day,  a Trump supporter,  a ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Olav Fykse Tveit holds the position of &lt;mask&gt; ...</td>\n",
       "      <td>[ Preses]</td>\n",
       "      <td>2</td>\n",
       "      <td>P39</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.8489119410514832, 0.8570877909660339, 0.849...</td>\n",
       "      <td>[8.323836326599121, 8.354332208633423, 6.36577...</td>\n",
       "      <td>[[394], [5, 270], [275, 165, 869], [270, 9, 5,...</td>\n",
       "      <td>[ president,  the President,  best team player...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Reshma Kewalramani holds the position of &lt;mask...</td>\n",
       "      <td>[ chief executive officer]</td>\n",
       "      <td>3</td>\n",
       "      <td>P39</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.8934906125068665, 0.8537933230400085, 0.891...</td>\n",
       "      <td>[7.977327346801758, 7.379817247390747, 7.03336...</td>\n",
       "      <td>[[394], [5, 183], [5, 92, 2784], [5, 270, 11, ...</td>\n",
       "      <td>[ president,  the day,  the new PM,  the Presi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Norma Foley holds the position of &lt;mask&gt; &lt;mask...</td>\n",
       "      <td>[ Minister for Education and Skills]</td>\n",
       "      <td>5</td>\n",
       "      <td>P39</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.8403588533401489, 0.8525987863540649, 0.861...</td>\n",
       "      <td>[6.989991664886475, 7.97197699546814, 7.968808...</td>\n",
       "      <td>[[394], [275, 3390], [5, 275, 3390], [10, 693,...</td>\n",
       "      <td>[ president,  best actress,  the best actress,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Uffe Elbæk is a member of the &lt;mask&gt; &lt;mask&gt;.</td>\n",
       "      <td>[ Independent Greens]</td>\n",
       "      <td>2</td>\n",
       "      <td>P102</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.8135427236557007, 0.8396816253662109, 0.845...</td>\n",
       "      <td>[8.334210395812988, 9.871150732040405, 3.59964...</td>\n",
       "      <td>[[950], [315, 532], [274, 4791, 435], [384, 12...</td>\n",
       "      <td>[ club,  United States,  Fae community,  O-Lin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Hwang Kyo-ahn is a member of the &lt;mask&gt; &lt;mask&gt;...</td>\n",
       "      <td>[ People Power Party]</td>\n",
       "      <td>3</td>\n",
       "      <td>P102</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.8602454662322998, 0.877741277217865, 0.8578...</td>\n",
       "      <td>[9.731480598449707, 6.828942894935608, 3.53551...</td>\n",
       "      <td>[[333], [92, 333], [333, 229, 6576], [163, 12,...</td>\n",
       "      <td>[ group,  new group,  group Kook,  B-Team grou...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Rasmus Nordqvist is a member of the &lt;mask&gt; &lt;ma...</td>\n",
       "      <td>[ Green Left]</td>\n",
       "      <td>2</td>\n",
       "      <td>P102</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.8759491443634033, 0.8771491050720215, 0.865...</td>\n",
       "      <td>[8.121084213256836, 9.412031650543213, 9.17152...</td>\n",
       "      <td>[[165], [1083, 168], [496, 2010, 2711], [787, ...</td>\n",
       "      <td>[ team,  Russian government,  National Securit...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Niko Grünfeld is a member of the &lt;mask&gt; &lt;mask&gt;.</td>\n",
       "      <td>[ Independent Greens]</td>\n",
       "      <td>2</td>\n",
       "      <td>P102</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.854084312915802, 0.8504831790924072, 0.8340...</td>\n",
       "      <td>[8.163363456726074, 8.665356636047363, 10.5685...</td>\n",
       "      <td>[[15090], [140, 942], [188, 469, 1513], [496, ...</td>\n",
       "      <td>[ NRA,  Trump administration,  New York Times,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>&lt;mask&gt; &lt;mask&gt; is the chair of Bank of England.</td>\n",
       "      <td>[ Andrew Bailey]</td>\n",
       "      <td>2</td>\n",
       "      <td>P488</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.901509702205658, 0.9540414810180664, 0.8997...</td>\n",
       "      <td>[13.016085624694824, 9.535182476043701, 8.7912...</td>\n",
       "      <td>[[894], [22611, 1547], [19195, 140, 122], [103...</td>\n",
       "      <td>[He, Peter Brown, Donald Trump now, @user Ther...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>&lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; is the chai...</td>\n",
       "      <td>[ Valentina Cuppi]</td>\n",
       "      <td>5</td>\n",
       "      <td>P488</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.8689861297607422, 0.8698773980140686, 0.814...</td>\n",
       "      <td>[12.992660522460938, 10.484341621398926, 12.21...</td>\n",
       "      <td>[[7565], [19993, 2235], [1039, 12105, 91], [10...</td>\n",
       "      <td>[Trump, Bill Clinton, @user He, @user And he, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>&lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; is the chai...</td>\n",
       "      <td>[ Tsai Ing-wen]</td>\n",
       "      <td>5</td>\n",
       "      <td>P488</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.8526294231414795, 0.838755190372467, 0.8174...</td>\n",
       "      <td>[13.133919715881348, 12.322960376739502, 7.044...</td>\n",
       "      <td>[[894], [45434, 5316], [104, 13157, 3592], [10...</td>\n",
       "      <td>[He, Bernie Sanders, Surbhi, @user This guy, @...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>&lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; is the chai...</td>\n",
       "      <td>[ Berit Svendsen]</td>\n",
       "      <td>5</td>\n",
       "      <td>P488</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.8165629506111145, 0.8234448432922363, 0.799...</td>\n",
       "      <td>[11.71232795715332, 10.809742450714111, 10.765...</td>\n",
       "      <td>[[713], [1039, 12105], [1039, 12105, 91], [103...</td>\n",
       "      <td>[This, @user, @user He, @user My husband, @use...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>&lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; is the chair of No...</td>\n",
       "      <td>[ Nikolai Astrup]</td>\n",
       "      <td>4</td>\n",
       "      <td>P488</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.850342333316803, 0.8570883870124817, 0.7954...</td>\n",
       "      <td>[12.979203224182129, 3.6551438570022583, 11.17...</td>\n",
       "      <td>[[894], [530, 1728], [1039, 12105, 91], [1039,...</td>\n",
       "      <td>[He, Kane, @user He, @user The PM, @user @user...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>&lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; is the chai...</td>\n",
       "      <td>[ Kohei Otsuka]</td>\n",
       "      <td>5</td>\n",
       "      <td>P488</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.8757452964782715, 0.8696351051330566, 0.807...</td>\n",
       "      <td>[12.992660522460938, 10.038424491882324, 12.21...</td>\n",
       "      <td>[[7565], [713, 2173], [1039, 12105, 91], [1039...</td>\n",
       "      <td>[Trump, This guy, @user He, @user The Presiden...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>&lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; is the chai...</td>\n",
       "      <td>[ Sergey Kravtsov]</td>\n",
       "      <td>5</td>\n",
       "      <td>P488</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.8653401732444763, 0.8740647435188293, 0.802...</td>\n",
       "      <td>[13.078585624694824, 7.220452547073364, 11.616...</td>\n",
       "      <td>[[894], [19195, 140], [1039, 12105, 91], [5320...</td>\n",
       "      <td>[He, Donald Trump, @user He, Sthalstov, @user ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>&lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; is the chai...</td>\n",
       "      <td>[ Corinne Cahen]</td>\n",
       "      <td>5</td>\n",
       "      <td>P488</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.8639788031578064, 0.853545069694519, 0.8483...</td>\n",
       "      <td>[12.992660522460938, 8.044881820678711, 7.6615...</td>\n",
       "      <td>[[7565], [387, 12145], [574, 4048, 140], [1039...</td>\n",
       "      <td>[Trump, Biden, Lying Trump, @user @user, @user...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>&lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; is the chai...</td>\n",
       "      <td>[ Stav Shaffir]</td>\n",
       "      <td>5</td>\n",
       "      <td>P488</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.8764393329620361, 0.8726391196250916, 0.816...</td>\n",
       "      <td>[12.761088371276855, 9.688506126403809, 11.878...</td>\n",
       "      <td>[[894], [713, 2173], [1039, 12105, 91], [1039,...</td>\n",
       "      <td>[He, This guy, @user He, @user The guy, Sohil ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>&lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; is the chai...</td>\n",
       "      <td>[ Indira Alfonzo]</td>\n",
       "      <td>5</td>\n",
       "      <td>P488</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.8664153218269348, 0.8593104481697083, 0.801...</td>\n",
       "      <td>[13.70480728149414, 8.107831239700317, 11.2778...</td>\n",
       "      <td>[[894], [16804, 1454], [1039, 12105, 91], [103...</td>\n",
       "      <td>[He, Alex Jones, @user He, @user @user, @user ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Niels B. Christiansen works for &lt;mask&gt; &lt;mask&gt; ...</td>\n",
       "      <td>[ The Lego Group]</td>\n",
       "      <td>3</td>\n",
       "      <td>P108</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.4, 0.3333333333333333, 0.0, 0.25]</td>\n",
       "      <td>[0.859462559223175, 0.8900945782661438, 0.8781...</td>\n",
       "      <td>[12.534205436706543, 9.757515907287598, 11.130...</td>\n",
       "      <td>[[162], [5, 1574], [5, 1557, 1643], [787, 1210...</td>\n",
       "      <td>[ me,  the Democrats,  the Democratic Party,  ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Hiromichi Mizuno works for &lt;mask&gt; &lt;mask&gt; &lt;mask...</td>\n",
       "      <td>[ Tesla, Inc.]</td>\n",
       "      <td>4</td>\n",
       "      <td>P108</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.8641549348831177, 0.8742556571960449, 0.882...</td>\n",
       "      <td>[11.614312171936035, 8.200997591018677, 7.7777...</td>\n",
       "      <td>[[162], [5, 168], [5, 2898, 168], [10, 1111, 2...</td>\n",
       "      <td>[ me,  the government,  the Japanese governmen...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Wendy I Baltzer works for &lt;mask&gt; &lt;mask&gt; &lt;mask&gt;.</td>\n",
       "      <td>[ University of Sydney]</td>\n",
       "      <td>3</td>\n",
       "      <td>P108</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.8349060416221619, 0.859613835811615, 0.8513...</td>\n",
       "      <td>[10.882901191711426, 8.669316291809082, 8.2093...</td>\n",
       "      <td>[[162], [5, 1574], [10, 430, 138], [41, 3031, ...</td>\n",
       "      <td>[ me,  the Democrats,  a different company,  a...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>&lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; is the head of the...</td>\n",
       "      <td>[ Mikhail Mishustin]</td>\n",
       "      <td>4</td>\n",
       "      <td>P6</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.8500773310661316, 0.8501316905021667, 0.802...</td>\n",
       "      <td>[14.36152458190918, 9.915823936462402, 12.6970...</td>\n",
       "      <td>[[7565], [133, 270], [1039, 12105, 3176], [103...</td>\n",
       "      <td>[Trump, The President, @user Putin, @CBSNews T...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>&lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; is the head of the...</td>\n",
       "      <td>[ Nuno Nabian]</td>\n",
       "      <td>4</td>\n",
       "      <td>P6</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.8537770509719849, 0.830507755279541, 0.8001...</td>\n",
       "      <td>[13.09206485748291, 11.73004961013794, 11.3918...</td>\n",
       "      <td>[[894], [1039, 12105], [1039, 12105, 91], [103...</td>\n",
       "      <td>[He, @user, @user He, @user @user, @user Dr. F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>&lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; is the head...</td>\n",
       "      <td>[ Vladislav Shapsha]</td>\n",
       "      <td>5</td>\n",
       "      <td>P6</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.851514458656311, 0.8475815057754517, 0.7941...</td>\n",
       "      <td>[12.677706718444824, 8.443827867507935, 11.072...</td>\n",
       "      <td>[[894], [713, 2173], [1039, 12105, 91], [863, ...</td>\n",
       "      <td>[He, This guy, @user He, Jade Shah, @user The ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>&lt;mask&gt; &lt;mask&gt; is the head of the government of...</td>\n",
       "      <td>[ Kate Snyder]</td>\n",
       "      <td>2</td>\n",
       "      <td>P6</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.8582935333251953, 0.8928363919258118, 0.901...</td>\n",
       "      <td>[13.841096878051758, 7.790075063705444, 5.7142...</td>\n",
       "      <td>[[713], [10006, 10741], [495, 1113, 2505], [10...</td>\n",
       "      <td>[This, Mark Zuckerberg, Dana Davis, @user @use...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>&lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; is the head of the...</td>\n",
       "      <td>[ Mikhail Mishustin]</td>\n",
       "      <td>4</td>\n",
       "      <td>P6</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.8500773310661316, 0.8537561297416687, 0.836...</td>\n",
       "      <td>[13.551077842712402, 9.26860523223877, 7.88843...</td>\n",
       "      <td>[[7565], [133, 313], [104, 271, 1069], [1039, ...</td>\n",
       "      <td>[Trump, The man, Sarri, @user Donald Trump, @u...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>&lt;mask&gt; &lt;mask&gt; &lt;mask&gt; is the head coach of FC C...</td>\n",
       "      <td>[ Jaap Stam]</td>\n",
       "      <td>3</td>\n",
       "      <td>P286</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.8651678562164307, 0.8591203689575195, 0.816...</td>\n",
       "      <td>[12.605716705322266, 9.140550136566162, 10.967...</td>\n",
       "      <td>[[894], [16804, 1259], [1039, 12105, 91], [387...</td>\n",
       "      <td>[He, Alex Smith, @user He, Bobby Fitch, @user ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>&lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; &lt;mask&gt; is the head...</td>\n",
       "      <td>[ Luis Diego López]</td>\n",
       "      <td>5</td>\n",
       "      <td>P286</td>\n",
       "      <td>1</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
       "      <td>[0.8686310052871704, 0.8814116716384888, 0.807...</td>\n",
       "      <td>[12.253292083740234, 7.802707672119141, 10.122...</td>\n",
       "      <td>[[894], [33011, 6260], [1039, 12105, 91], [103...</td>\n",
       "      <td>[He, Jose Mourinho, @user He, @user My brother...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 text  \\\n",
       "0             Andre Iguodala plays for <mask> <mask>.   \n",
       "1   Miroslav Lajčák holds the position of <mask> <...   \n",
       "2   Matt Carthy holds the position of <mask> <mask...   \n",
       "3   Olav Fykse Tveit holds the position of <mask> ...   \n",
       "4   Reshma Kewalramani holds the position of <mask...   \n",
       "5   Norma Foley holds the position of <mask> <mask...   \n",
       "6        Uffe Elbæk is a member of the <mask> <mask>.   \n",
       "7   Hwang Kyo-ahn is a member of the <mask> <mask>...   \n",
       "8   Rasmus Nordqvist is a member of the <mask> <ma...   \n",
       "9     Niko Grünfeld is a member of the <mask> <mask>.   \n",
       "10     <mask> <mask> is the chair of Bank of England.   \n",
       "11  <mask> <mask> <mask> <mask> <mask> is the chai...   \n",
       "12  <mask> <mask> <mask> <mask> <mask> is the chai...   \n",
       "13  <mask> <mask> <mask> <mask> <mask> is the chai...   \n",
       "14  <mask> <mask> <mask> <mask> is the chair of No...   \n",
       "15  <mask> <mask> <mask> <mask> <mask> is the chai...   \n",
       "16  <mask> <mask> <mask> <mask> <mask> is the chai...   \n",
       "17  <mask> <mask> <mask> <mask> <mask> is the chai...   \n",
       "18  <mask> <mask> <mask> <mask> <mask> is the chai...   \n",
       "19  <mask> <mask> <mask> <mask> <mask> is the chai...   \n",
       "20  Niels B. Christiansen works for <mask> <mask> ...   \n",
       "21  Hiromichi Mizuno works for <mask> <mask> <mask...   \n",
       "22    Wendy I Baltzer works for <mask> <mask> <mask>.   \n",
       "23  <mask> <mask> <mask> <mask> is the head of the...   \n",
       "24  <mask> <mask> <mask> <mask> is the head of the...   \n",
       "25  <mask> <mask> <mask> <mask> <mask> is the head...   \n",
       "26  <mask> <mask> is the head of the government of...   \n",
       "27  <mask> <mask> <mask> <mask> is the head of the...   \n",
       "28  <mask> <mask> <mask> is the head coach of FC C...   \n",
       "29  <mask> <mask> <mask> <mask> <mask> is the head...   \n",
       "\n",
       "                                  gold_label  gold_num_masks relation  \\\n",
       "0                              [ Miami Heat]               2      P54   \n",
       "1   [ European Union Special Representative]               4      P39   \n",
       "2                            [ Teachta Dála]               5      P39   \n",
       "3                                  [ Preses]               2      P39   \n",
       "4                 [ chief executive officer]               3      P39   \n",
       "5       [ Minister for Education and Skills]               5      P39   \n",
       "6                      [ Independent Greens]               2     P102   \n",
       "7                      [ People Power Party]               3     P102   \n",
       "8                              [ Green Left]               2     P102   \n",
       "9                      [ Independent Greens]               2     P102   \n",
       "10                          [ Andrew Bailey]               2     P488   \n",
       "11                        [ Valentina Cuppi]               5     P488   \n",
       "12                           [ Tsai Ing-wen]               5     P488   \n",
       "13                         [ Berit Svendsen]               5     P488   \n",
       "14                         [ Nikolai Astrup]               4     P488   \n",
       "15                           [ Kohei Otsuka]               5     P488   \n",
       "16                        [ Sergey Kravtsov]               5     P488   \n",
       "17                          [ Corinne Cahen]               5     P488   \n",
       "18                           [ Stav Shaffir]               5     P488   \n",
       "19                         [ Indira Alfonzo]               5     P488   \n",
       "20                         [ The Lego Group]               3     P108   \n",
       "21                            [ Tesla, Inc.]               4     P108   \n",
       "22                   [ University of Sydney]               3     P108   \n",
       "23                      [ Mikhail Mishustin]               4       P6   \n",
       "24                            [ Nuno Nabian]               4       P6   \n",
       "25                      [ Vladislav Shapsha]               5       P6   \n",
       "26                            [ Kate Snyder]               2       P6   \n",
       "27                      [ Mikhail Mishustin]               4       P6   \n",
       "28                              [ Jaap Stam]               3     P286   \n",
       "29                       [ Luis Diego López]               5     P286   \n",
       "\n",
       "    num_answers                   f1_micro                   f1_macro  \\\n",
       "0             1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "1             1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "2             1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "3             1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "4             1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "5             1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "6             1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "7             1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "8             1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "9             1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "10            1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "11            1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "12            1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "13            1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "14            1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "15            1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "16            1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "17            1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "18            1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "19            1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "20            1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "21            1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "22            1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "23            1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "24            1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "25            1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "26            1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "27            1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "28            1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "29            1  [0.0, 0.0, 0.0, 0.0, 0.0]  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "\n",
       "                                        rouge  \\\n",
       "0                   [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "1                   [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "2                   [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "3                   [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "4                   [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "5                   [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "6                   [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "7                   [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "8                   [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "9                   [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "10                  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "11                  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "12                  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "13                  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "14                  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "15                  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "16                  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "17                  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "18                  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "19                  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "20  [0.0, 0.4, 0.3333333333333333, 0.0, 0.25]   \n",
       "21                  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "22                  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "23                  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "24                  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "25                  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "26                  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "27                  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "28                  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "29                  [0.0, 0.0, 0.0, 0.0, 0.0]   \n",
       "\n",
       "                                           bert_score  \\\n",
       "0   [0.9150390028953552, 0.9190067052841187, 0.875...   \n",
       "1   [0.8248672485351562, 0.8572892546653748, 0.864...   \n",
       "2   [0.7966454029083252, 0.8296538591384888, 0.820...   \n",
       "3   [0.8489119410514832, 0.8570877909660339, 0.849...   \n",
       "4   [0.8934906125068665, 0.8537933230400085, 0.891...   \n",
       "5   [0.8403588533401489, 0.8525987863540649, 0.861...   \n",
       "6   [0.8135427236557007, 0.8396816253662109, 0.845...   \n",
       "7   [0.8602454662322998, 0.877741277217865, 0.8578...   \n",
       "8   [0.8759491443634033, 0.8771491050720215, 0.865...   \n",
       "9   [0.854084312915802, 0.8504831790924072, 0.8340...   \n",
       "10  [0.901509702205658, 0.9540414810180664, 0.8997...   \n",
       "11  [0.8689861297607422, 0.8698773980140686, 0.814...   \n",
       "12  [0.8526294231414795, 0.838755190372467, 0.8174...   \n",
       "13  [0.8165629506111145, 0.8234448432922363, 0.799...   \n",
       "14  [0.850342333316803, 0.8570883870124817, 0.7954...   \n",
       "15  [0.8757452964782715, 0.8696351051330566, 0.807...   \n",
       "16  [0.8653401732444763, 0.8740647435188293, 0.802...   \n",
       "17  [0.8639788031578064, 0.853545069694519, 0.8483...   \n",
       "18  [0.8764393329620361, 0.8726391196250916, 0.816...   \n",
       "19  [0.8664153218269348, 0.8593104481697083, 0.801...   \n",
       "20  [0.859462559223175, 0.8900945782661438, 0.8781...   \n",
       "21  [0.8641549348831177, 0.8742556571960449, 0.882...   \n",
       "22  [0.8349060416221619, 0.859613835811615, 0.8513...   \n",
       "23  [0.8500773310661316, 0.8501316905021667, 0.802...   \n",
       "24  [0.8537770509719849, 0.830507755279541, 0.8001...   \n",
       "25  [0.851514458656311, 0.8475815057754517, 0.7941...   \n",
       "26  [0.8582935333251953, 0.8928363919258118, 0.901...   \n",
       "27  [0.8500773310661316, 0.8537561297416687, 0.836...   \n",
       "28  [0.8651678562164307, 0.8591203689575195, 0.816...   \n",
       "29  [0.8686310052871704, 0.8814116716384888, 0.807...   \n",
       "\n",
       "                                       best_log_probs  \\\n",
       "0   [9.315415382385254, 10.234005451202393, 7.2221...   \n",
       "1   [9.424880981445312, 7.775924205780029, 9.62523...   \n",
       "2   [8.447942733764648, 7.612443208694458, 7.56116...   \n",
       "3   [8.323836326599121, 8.354332208633423, 6.36577...   \n",
       "4   [7.977327346801758, 7.379817247390747, 7.03336...   \n",
       "5   [6.989991664886475, 7.97197699546814, 7.968808...   \n",
       "6   [8.334210395812988, 9.871150732040405, 3.59964...   \n",
       "7   [9.731480598449707, 6.828942894935608, 3.53551...   \n",
       "8   [8.121084213256836, 9.412031650543213, 9.17152...   \n",
       "9   [8.163363456726074, 8.665356636047363, 10.5685...   \n",
       "10  [13.016085624694824, 9.535182476043701, 8.7912...   \n",
       "11  [12.992660522460938, 10.484341621398926, 12.21...   \n",
       "12  [13.133919715881348, 12.322960376739502, 7.044...   \n",
       "13  [11.71232795715332, 10.809742450714111, 10.765...   \n",
       "14  [12.979203224182129, 3.6551438570022583, 11.17...   \n",
       "15  [12.992660522460938, 10.038424491882324, 12.21...   \n",
       "16  [13.078585624694824, 7.220452547073364, 11.616...   \n",
       "17  [12.992660522460938, 8.044881820678711, 7.6615...   \n",
       "18  [12.761088371276855, 9.688506126403809, 11.878...   \n",
       "19  [13.70480728149414, 8.107831239700317, 11.2778...   \n",
       "20  [12.534205436706543, 9.757515907287598, 11.130...   \n",
       "21  [11.614312171936035, 8.200997591018677, 7.7777...   \n",
       "22  [10.882901191711426, 8.669316291809082, 8.2093...   \n",
       "23  [14.36152458190918, 9.915823936462402, 12.6970...   \n",
       "24  [13.09206485748291, 11.73004961013794, 11.3918...   \n",
       "25  [12.677706718444824, 8.443827867507935, 11.072...   \n",
       "26  [13.841096878051758, 7.790075063705444, 5.7142...   \n",
       "27  [13.551077842712402, 9.26860523223877, 7.88843...   \n",
       "28  [12.605716705322266, 9.140550136566162, 10.967...   \n",
       "29  [12.253292083740234, 7.802707672119141, 10.122...   \n",
       "\n",
       "                                     best_pred_tokens  \\\n",
       "0   [[3426], [5, 6772], [1731, 3245, 122], [162, 9...   \n",
       "1   [[394], [5, 394], [1231, 9, 5721], [5, 1993, 2...   \n",
       "2   [[394], [5, 183], [10, 140, 9906], [10, 1172, ...   \n",
       "3   [[394], [5, 270], [275, 165, 869], [270, 9, 5,...   \n",
       "4   [[394], [5, 183], [5, 92, 2784], [5, 270, 11, ...   \n",
       "5   [[394], [275, 3390], [5, 275, 3390], [10, 693,...   \n",
       "6   [[950], [315, 532], [274, 4791, 435], [384, 12...   \n",
       "7   [[333], [92, 333], [333, 229, 6576], [163, 12,...   \n",
       "8   [[165], [1083, 168], [496, 2010, 2711], [787, ...   \n",
       "9   [[15090], [140, 942], [188, 469, 1513], [496, ...   \n",
       "10  [[894], [22611, 1547], [19195, 140, 122], [103...   \n",
       "11  [[7565], [19993, 2235], [1039, 12105, 91], [10...   \n",
       "12  [[894], [45434, 5316], [104, 13157, 3592], [10...   \n",
       "13  [[713], [1039, 12105], [1039, 12105, 91], [103...   \n",
       "14  [[894], [530, 1728], [1039, 12105, 91], [1039,...   \n",
       "15  [[7565], [713, 2173], [1039, 12105, 91], [1039...   \n",
       "16  [[894], [19195, 140], [1039, 12105, 91], [5320...   \n",
       "17  [[7565], [387, 12145], [574, 4048, 140], [1039...   \n",
       "18  [[894], [713, 2173], [1039, 12105, 91], [1039,...   \n",
       "19  [[894], [16804, 1454], [1039, 12105, 91], [103...   \n",
       "20  [[162], [5, 1574], [5, 1557, 1643], [787, 1210...   \n",
       "21  [[162], [5, 168], [5, 2898, 168], [10, 1111, 2...   \n",
       "22  [[162], [5, 1574], [10, 430, 138], [41, 3031, ...   \n",
       "23  [[7565], [133, 270], [1039, 12105, 3176], [103...   \n",
       "24  [[894], [1039, 12105], [1039, 12105, 91], [103...   \n",
       "25  [[894], [713, 2173], [1039, 12105, 91], [863, ...   \n",
       "26  [[713], [10006, 10741], [495, 1113, 2505], [10...   \n",
       "27  [[7565], [133, 313], [104, 271, 1069], [1039, ...   \n",
       "28  [[894], [16804, 1259], [1039, 12105, 91], [387...   \n",
       "29  [[894], [33011, 6260], [1039, 12105, 91], [103...   \n",
       "\n",
       "                                    best_pred_strings  \n",
       "0   [ Liverpool,  the Lakers,  Barca now,  me so d...  \n",
       "1   [ president,  the president,  Chief of Staff, ...  \n",
       "2   [ president,  the day,  a Trump supporter,  a ...  \n",
       "3   [ president,  the President,  best team player...  \n",
       "4   [ president,  the day,  the new PM,  the Presi...  \n",
       "5   [ president,  best actress,  the best actress,...  \n",
       "6   [ club,  United States,  Fae community,  O-Lin...  \n",
       "7   [ group,  new group,  group Kook,  B-Team grou...  \n",
       "8   [ team,  Russian government,  National Securit...  \n",
       "9   [ NRA,  Trump administration,  New York Times,...  \n",
       "10  [He, Peter Brown, Donald Trump now, @user Ther...  \n",
       "11  [Trump, Bill Clinton, @user He, @user And he, ...  \n",
       "12  [He, Bernie Sanders, Surbhi, @user This guy, @...  \n",
       "13  [This, @user, @user He, @user My husband, @use...  \n",
       "14  [He, Kane, @user He, @user The PM, @user @user...  \n",
       "15  [Trump, This guy, @user He, @user The Presiden...  \n",
       "16  [He, Donald Trump, @user He, Sthalstov, @user ...  \n",
       "17  [Trump, Biden, Lying Trump, @user @user, @user...  \n",
       "18  [He, This guy, @user He, @user The guy, Sohil ...  \n",
       "19  [He, Alex Jones, @user He, @user @user, @user ...  \n",
       "20  [ me,  the Democrats,  the Democratic Party,  ...  \n",
       "21  [ me,  the government,  the Japanese governmen...  \n",
       "22  [ me,  the Democrats,  a different company,  a...  \n",
       "23  [Trump, The President, @user Putin, @CBSNews T...  \n",
       "24  [He, @user, @user He, @user @user, @user Dr. F...  \n",
       "25  [He, This guy, @user He, Jade Shah, @user The ...  \n",
       "26  [This, Mark Zuckerberg, Dana Davis, @user @use...  \n",
       "27  [Trump, The man, Sarri, @user Donald Trump, @u...  \n",
       "28  [He, Alex Smith, @user He, Bobby Fitch, @user ...  \n",
       "29  [He, Jose Mourinho, @user He, @user My brother...  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1a2b3753",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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