State of the art NLP on Ethereum community survey on shared values

eip0_shared_values.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "toc": true
   },
   "source": [
    "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
    "<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#Basic-imports\" data-toc-modified-id=\"Basic-imports-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>Basic imports</a></span></li><li><span><a href=\"#Loading-data\" data-toc-modified-id=\"Loading-data-2\"><span class=\"toc-item-num\">2&nbsp;&nbsp;</span>Loading data</a></span></li><li><span><a href=\"#Preprocessing\" data-toc-modified-id=\"Preprocessing-3\"><span class=\"toc-item-num\">3&nbsp;&nbsp;</span>Preprocessing</a></span></li><li><span><a href=\"#Role-models\" data-toc-modified-id=\"Role-models-4\"><span class=\"toc-item-num\">4&nbsp;&nbsp;</span>Role models</a></span><ul class=\"toc-item\"><li><span><a href=\"#Cleanup-text\" data-toc-modified-id=\"Cleanup-text-4.1\"><span class=\"toc-item-num\">4.1&nbsp;&nbsp;</span>Cleanup text</a></span></li><li><span><a href=\"#Role-model-extraction\" data-toc-modified-id=\"Role-model-extraction-4.2\"><span class=\"toc-item-num\">4.2&nbsp;&nbsp;</span>Role model extraction</a></span></li><li><span><a href=\"#Role-model-visualization\" data-toc-modified-id=\"Role-model-visualization-4.3\"><span class=\"toc-item-num\">4.3&nbsp;&nbsp;</span>Role model visualization</a></span></li></ul></li><li><span><a href=\"#Organizations,-communities,-social-movements,-ideology-loosely-related\" data-toc-modified-id=\"Organizations,-communities,-social-movements,-ideology-loosely-related-5\"><span class=\"toc-item-num\">5&nbsp;&nbsp;</span>Organizations, communities, social movements, ideology loosely related</a></span></li><li><span><a href=\"#Ethereum-Values\" data-toc-modified-id=\"Ethereum-Values-6\"><span class=\"toc-item-num\">6&nbsp;&nbsp;</span>Ethereum Values</a></span><ul class=\"toc-item\"><li><span><a href=\"#Data-exploration\" data-toc-modified-id=\"Data-exploration-6.1\"><span class=\"toc-item-num\">6.1&nbsp;&nbsp;</span>Data exploration</a></span></li><li><span><a href=\"#Preprocessing\" data-toc-modified-id=\"Preprocessing-6.2\"><span class=\"toc-item-num\">6.2&nbsp;&nbsp;</span>Preprocessing</a></span></li><li><span><a href=\"#Dictionary-and-corpus-for-topic-modelling\" data-toc-modified-id=\"Dictionary-and-corpus-for-topic-modelling-6.3\"><span class=\"toc-item-num\">6.3&nbsp;&nbsp;</span>Dictionary and corpus for topic modelling</a></span></li><li><span><a href=\"#Extracting-the-topics\" data-toc-modified-id=\"Extracting-the-topics-6.4\"><span class=\"toc-item-num\">6.4&nbsp;&nbsp;</span>Extracting the topics</a></span></li><li><span><a href=\"#Topic-visualization\" data-toc-modified-id=\"Topic-visualization-6.5\"><span class=\"toc-item-num\">6.5&nbsp;&nbsp;</span>Topic visualization</a></span></li><li><span><a href=\"#Cleanup\" data-toc-modified-id=\"Cleanup-6.6\"><span class=\"toc-item-num\">6.6&nbsp;&nbsp;</span>Cleanup</a></span></li></ul></li><li><span><a href=\"#Productionizing-topic-modelling\" data-toc-modified-id=\"Productionizing-topic-modelling-7\"><span class=\"toc-item-num\">7&nbsp;&nbsp;</span>Productionizing topic modelling</a></span><ul class=\"toc-item\"><li><span><a href=\"#Introducing-the-heavy-lifters\" data-toc-modified-id=\"Introducing-the-heavy-lifters-7.1\"><span class=\"toc-item-num\">7.1&nbsp;&nbsp;</span>Introducing the heavy lifters</a></span></li><li><span><a href=\"#Sanity-check-on-Ethereum-values\" data-toc-modified-id=\"Sanity-check-on-Ethereum-values-7.2\"><span class=\"toc-item-num\">7.2&nbsp;&nbsp;</span>Sanity check on Ethereum values</a></span></li></ul></li><li><span><a href=\"#Why-attracted-to-Ethereum\" data-toc-modified-id=\"Why-attracted-to-Ethereum-8\"><span class=\"toc-item-num\">8&nbsp;&nbsp;</span>Why attracted to Ethereum</a></span></li><li><span><a href=\"#Happiest-Memory\" data-toc-modified-id=\"Happiest-Memory-9\"><span class=\"toc-item-num\">9&nbsp;&nbsp;</span>Happiest Memory</a></span></li><li><span><a href=\"#Frustration\" data-toc-modified-id=\"Frustration-10\"><span class=\"toc-item-num\">10&nbsp;&nbsp;</span>Frustration</a></span></li><li><span><a href=\"#Exhausting-things\" data-toc-modified-id=\"Exhausting-things-11\"><span class=\"toc-item-num\">11&nbsp;&nbsp;</span>Exhausting things</a></span></li><li><span><a href=\"#Failures\" data-toc-modified-id=\"Failures-12\"><span class=\"toc-item-num\">12&nbsp;&nbsp;</span>Failures</a></span></li><li><span><a href=\"#Good-member\" data-toc-modified-id=\"Good-member-13\"><span class=\"toc-item-num\">13&nbsp;&nbsp;</span>Good member</a></span></li><li><span><a href=\"#Your-values\" data-toc-modified-id=\"Your-values-14\"><span class=\"toc-item-num\">14&nbsp;&nbsp;</span>Your values</a></span></li><li><span><a href=\"#Future\" data-toc-modified-id=\"Future-15\"><span class=\"toc-item-num\">15&nbsp;&nbsp;</span>Future</a></span></li><li><span><a href=\"#Fears\" data-toc-modified-id=\"Fears-16\"><span class=\"toc-item-num\">16&nbsp;&nbsp;</span>Fears</a></span></li><li><span><a href=\"#Life-Meaning\" data-toc-modified-id=\"Life-Meaning-17\"><span class=\"toc-item-num\">17&nbsp;&nbsp;</span>Life Meaning</a></span></li><li><span><a href=\"#Other-comments\" data-toc-modified-id=\"Other-comments-18\"><span class=\"toc-item-num\">18&nbsp;&nbsp;</span>Other comments</a></span></li></ul></div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basic imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:42:54.365035Z",
     "start_time": "2018-06-02T13:42:54.233996Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:42:54.493168Z",
     "start_time": "2018-06-02T13:42:54.366421Z"
    }
   },
   "outputs": [],
   "source": [
    "# Visualization\n",
    "\n",
    "from wordcloud import WordCloud\n",
    "import matplotlib.pyplot as plt\n",
    "from IPython.display import Image\n",
    "import pprint # pretty printing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:42:55.787838Z",
     "start_time": "2018-06-02T13:42:54.494471Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n",
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "# Natural language processing\n",
    "\n",
    "import spacy\n",
    "\n",
    "from gensim.utils import simple_preprocess\n",
    "from gensim.models import Phrases\n",
    "from gensim.models.phrases import Phraser\n",
    "import gensim.corpora as corpora\n",
    "from gensim.models.ldamodel import LdaModel\n",
    "from gensim.models import CoherenceModel\n",
    "\n",
    "import pyLDAvis\n",
    "import pyLDAvis.gensim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:42:55.791443Z",
     "start_time": "2018-06-02T13:42:55.789283Z"
    }
   },
   "outputs": [],
   "source": [
    "import warnings # remove all the deprecation warnings\n",
    "warnings.filterwarnings(\"ignore\", category=DeprecationWarning) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:01.967051Z",
     "start_time": "2018-06-02T13:42:55.793107Z"
    }
   },
   "outputs": [],
   "source": [
    "# Download the model with 'python -m spacy download en_core_web_lg --user'\n",
    "# Note: this is a 800MB model\n",
    "#       'en_core_web_sm', 29MB can be used as alternative see https://spacy.io/models/en#section-en_core_web_lg\n",
    "nlp = spacy.load('en_core_web_lg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:01.978788Z",
     "start_time": "2018-06-02T13:43:01.968483Z"
    }
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv('./data/EIP0 Shared Values.csv')\n",
    "\n",
    "# Anonymize answers\n",
    "df.drop(columns=['Name (or leave blank for anonymous)'], inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:01.995389Z",
     "start_time": "2018-06-02T13:43:01.980105Z"
    }
   },
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Timestamp</th>\n",
       "      <th>Besides Vitalik, who are 3 or more people in the Ethereum Community that make good role models? What do you admire in them?</th>\n",
       "      <th>What are 3 or more organizations, communities, social movements and/or ideologies that are (loosely) related to Ethereum?</th>\n",
       "      <th>What values does/should Ethereum embody? Why?</th>\n",
       "      <th>What originally attracted you to Ethereum? Why are you still here?</th>\n",
       "      <th>What is your happiest memory related to Ethereum? Why?</th>\n",
       "      <th>Is there anything in Ethereum (past/present) that frustrated you, or could have been done better?</th>\n",
       "      <th>Is there anything in the community that exhausts or tires you?</th>\n",
       "      <th>Is there anything we 'failed' or are 'failing' at?</th>\n",
       "      <th>In your mind, what would make a good Ethereum community member?</th>\n",
       "      <th>What are the values/principles you use to help guide your life?</th>\n",
       "      <th>What kind of future do you envision?</th>\n",
       "      <th>Are there any fears you hold that you think are relevant to Ethereum?</th>\n",
       "      <th>What gives your life meaning? Why?</th>\n",
       "      <th>Other Comments</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018/05/23 5:58:27 PM GMT+2</td>\n",
       "      <td>Rhys Lindmark -- Pushing to do good in the com...</td>\n",
       "      <td>ETHPrize, Doge-Ethereum Art Project, Community...</td>\n",
       "      <td>Transparency and Collaboration -- these result...</td>\n",
       "      <td>Community -- best people ever.  I've seen ETHP...</td>\n",
       "      <td>Getting the bounty for the Doge-Ethereum bridg...</td>\n",
       "      <td>It's moving slowly and new people don't have c...</td>\n",
       "      <td>Too much politics.  The unfreezing / governanc...</td>\n",
       "      <td>Governance</td>\n",
       "      <td>Transparency - collaboration -- willingness to...</td>\n",
       "      <td>Radical self reliance, inclusion, no judgment,...</td>\n",
       "      <td>Clearly an ultra positive one\\n</td>\n",
       "      <td>Moving too slow -- letting governance limit ex...</td>\n",
       "      <td>Self reflection, helping others, working on ha...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018/05/23 6:10:01 PM GMT+2</td>\n",
       "      <td>Emin Gun Sirer, Vlad Zamfir, Stephan Tual\\nEmi...</td>\n",
       "      <td>Universal Basic Income (UBI)\\n</td>\n",
       "      <td>Openness, non-ideological, evidence-driven, de...</td>\n",
       "      <td>Solidity - being able to run code on the block...</td>\n",
       "      <td>Showing a friend a dApp and seeing his mind ge...</td>\n",
       "      <td>Some EIPs seem endless and unable to reach con...</td>\n",
       "      <td>Rehashing of old arguments, infighting amongst...</td>\n",
       "      <td>Reasonable clarity over timelines for importan...</td>\n",
       "      <td>Non-ideological (in terms of technology), happ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018/05/23 6:13:40 PM GMT+2</td>\n",
       "      <td>Vlad - just like his style. Nick Johnson - wel...</td>\n",
       "      <td>Cyber libertarianism / digital self-sovereignt...</td>\n",
       "      <td>Openness, software for the people - by the peo...</td>\n",
       "      <td>Crypt0 / Omar Bham. I made decent money invest...</td>\n",
       "      <td>Getting interviewed by Vice magazine about cry...</td>\n",
       "      <td>Constantly frustrated with new projects coming...</td>\n",
       "      <td>Any \"purist\".  Bitcoin purist, immutability pu...</td>\n",
       "      <td>Defining a clear Ethereum philosophy.  It may ...</td>\n",
       "      <td>Somebody who is both technically knowledgeable...</td>\n",
       "      <td>Individuality, straightforwardness, not being ...</td>\n",
       "      <td>One in which technology actually enhances the ...</td>\n",
       "      <td>I fear that blockchain technology will never r...</td>\n",
       "      <td>Whatever I ascribe to it at any given time. So...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Timestamp  \\\n",
       "0  2018/05/23 5:58:27 PM GMT+2   \n",
       "1  2018/05/23 6:10:01 PM GMT+2   \n",
       "2  2018/05/23 6:13:40 PM GMT+2   \n",
       "\n",
       "  Besides Vitalik, who are 3 or more people in the Ethereum Community that make good role models? What do you admire in them?  \\\n",
       "0  Rhys Lindmark -- Pushing to do good in the com...                                                                            \n",
       "1  Emin Gun Sirer, Vlad Zamfir, Stephan Tual\\nEmi...                                                                            \n",
       "2  Vlad - just like his style. Nick Johnson - wel...                                                                            \n",
       "\n",
       "  What are 3 or more organizations, communities, social movements and/or ideologies that are (loosely) related to Ethereum?  \\\n",
       "0  ETHPrize, Doge-Ethereum Art Project, Community...                                                                          \n",
       "1                     Universal Basic Income (UBI)\\n                                                                          \n",
       "2  Cyber libertarianism / digital self-sovereignt...                                                                          \n",
       "\n",
       "       What values does/should Ethereum embody? Why?  \\\n",
       "0  Transparency and Collaboration -- these result...   \n",
       "1  Openness, non-ideological, evidence-driven, de...   \n",
       "2  Openness, software for the people - by the peo...   \n",
       "\n",
       "  What originally attracted you to Ethereum? Why are you still here?  \\\n",
       "0  Community -- best people ever.  I've seen ETHP...                   \n",
       "1  Solidity - being able to run code on the block...                   \n",
       "2  Crypt0 / Omar Bham. I made decent money invest...                   \n",
       "\n",
       "  What is your happiest memory related to Ethereum? Why?  \\\n",
       "0  Getting the bounty for the Doge-Ethereum bridg...       \n",
       "1  Showing a friend a dApp and seeing his mind ge...       \n",
       "2  Getting interviewed by Vice magazine about cry...       \n",
       "\n",
       "  Is there anything in Ethereum (past/present) that frustrated you, or could have been done better?  \\\n",
       "0  It's moving slowly and new people don't have c...                                                  \n",
       "1  Some EIPs seem endless and unable to reach con...                                                  \n",
       "2  Constantly frustrated with new projects coming...                                                  \n",
       "\n",
       "  Is there anything in the community that exhausts or tires you?  \\\n",
       "0  Too much politics.  The unfreezing / governanc...               \n",
       "1  Rehashing of old arguments, infighting amongst...               \n",
       "2  Any \"purist\".  Bitcoin purist, immutability pu...               \n",
       "\n",
       "  Is there anything we 'failed' or are 'failing' at?  \\\n",
       "0                                         Governance   \n",
       "1  Reasonable clarity over timelines for importan...   \n",
       "2  Defining a clear Ethereum philosophy.  It may ...   \n",
       "\n",
       "  In your mind, what would make a good Ethereum community member?  \\\n",
       "0  Transparency - collaboration -- willingness to...                \n",
       "1  Non-ideological (in terms of technology), happ...                \n",
       "2  Somebody who is both technically knowledgeable...                \n",
       "\n",
       "  What are the values/principles you use to help guide your life?  \\\n",
       "0  Radical self reliance, inclusion, no judgment,...                \n",
       "1                                                NaN                \n",
       "2  Individuality, straightforwardness, not being ...                \n",
       "\n",
       "                What kind of future do you envision?  \\\n",
       "0                    Clearly an ultra positive one\\n   \n",
       "1                                                NaN   \n",
       "2  One in which technology actually enhances the ...   \n",
       "\n",
       "  Are there any fears you hold that you think are relevant to Ethereum?  \\\n",
       "0  Moving too slow -- letting governance limit ex...                      \n",
       "1                                                NaN                      \n",
       "2  I fear that blockchain technology will never r...                      \n",
       "\n",
       "                  What gives your life meaning? Why? Other Comments  \n",
       "0  Self reflection, helping others, working on ha...            NaN  \n",
       "1                                                NaN            NaN  \n",
       "2  Whatever I ascribe to it at any given time. So...            NaN  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-01T12:31:56.120813Z",
     "start_time": "2018-06-01T12:31:56.119034Z"
    }
   },
   "source": [
    "## Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:02.004635Z",
     "start_time": "2018-06-02T13:43:01.996433Z"
    }
   },
   "outputs": [],
   "source": [
    "df.columns = ['Timestamp',\n",
    "              'role_models',\n",
    "              'orgs_com_mov_ideo',\n",
    "              'values_ethereum',\n",
    "              'why_attracted',\n",
    "              'happiest_memory',\n",
    "              'frustration',\n",
    "              'exhausting',\n",
    "              'failures',\n",
    "              'good_member',\n",
    "              'your_values',\n",
    "              'future',\n",
    "              'fears',\n",
    "              'life_meaning',\n",
    "              'other_comments'\n",
    "              #'name'\n",
    "             ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:02.011182Z",
     "start_time": "2018-06-02T13:43:02.005828Z"
    }
   },
   "outputs": [],
   "source": [
    "# Columns with np.nan are replaced with blanks\n",
    "df.fillna('', inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:02.026121Z",
     "start_time": "2018-06-02T13:43:02.012336Z"
    }
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Timestamp</th>\n",
       "      <th>role_models</th>\n",
       "      <th>orgs_com_mov_ideo</th>\n",
       "      <th>values_ethereum</th>\n",
       "      <th>why_attracted</th>\n",
       "      <th>happiest_memory</th>\n",
       "      <th>frustration</th>\n",
       "      <th>exhausting</th>\n",
       "      <th>failures</th>\n",
       "      <th>good_member</th>\n",
       "      <th>your_values</th>\n",
       "      <th>future</th>\n",
       "      <th>fears</th>\n",
       "      <th>life_meaning</th>\n",
       "      <th>other_comments</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018/05/23 5:58:27 PM GMT+2</td>\n",
       "      <td>Rhys Lindmark -- Pushing to do good in the com...</td>\n",
       "      <td>ETHPrize, Doge-Ethereum Art Project, Community...</td>\n",
       "      <td>Transparency and Collaboration -- these result...</td>\n",
       "      <td>Community -- best people ever.  I've seen ETHP...</td>\n",
       "      <td>Getting the bounty for the Doge-Ethereum bridg...</td>\n",
       "      <td>It's moving slowly and new people don't have c...</td>\n",
       "      <td>Too much politics.  The unfreezing / governanc...</td>\n",
       "      <td>Governance</td>\n",
       "      <td>Transparency - collaboration -- willingness to...</td>\n",
       "      <td>Radical self reliance, inclusion, no judgment,...</td>\n",
       "      <td>Clearly an ultra positive one\\n</td>\n",
       "      <td>Moving too slow -- letting governance limit ex...</td>\n",
       "      <td>Self reflection, helping others, working on ha...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018/05/23 6:10:01 PM GMT+2</td>\n",
       "      <td>Emin Gun Sirer, Vlad Zamfir, Stephan Tual\\nEmi...</td>\n",
       "      <td>Universal Basic Income (UBI)\\n</td>\n",
       "      <td>Openness, non-ideological, evidence-driven, de...</td>\n",
       "      <td>Solidity - being able to run code on the block...</td>\n",
       "      <td>Showing a friend a dApp and seeing his mind ge...</td>\n",
       "      <td>Some EIPs seem endless and unable to reach con...</td>\n",
       "      <td>Rehashing of old arguments, infighting amongst...</td>\n",
       "      <td>Reasonable clarity over timelines for importan...</td>\n",
       "      <td>Non-ideological (in terms of technology), happ...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018/05/23 6:13:40 PM GMT+2</td>\n",
       "      <td>Vlad - just like his style. Nick Johnson - wel...</td>\n",
       "      <td>Cyber libertarianism / digital self-sovereignt...</td>\n",
       "      <td>Openness, software for the people - by the peo...</td>\n",
       "      <td>Crypt0 / Omar Bham. I made decent money invest...</td>\n",
       "      <td>Getting interviewed by Vice magazine about cry...</td>\n",
       "      <td>Constantly frustrated with new projects coming...</td>\n",
       "      <td>Any \"purist\".  Bitcoin purist, immutability pu...</td>\n",
       "      <td>Defining a clear Ethereum philosophy.  It may ...</td>\n",
       "      <td>Somebody who is both technically knowledgeable...</td>\n",
       "      <td>Individuality, straightforwardness, not being ...</td>\n",
       "      <td>One in which technology actually enhances the ...</td>\n",
       "      <td>I fear that blockchain technology will never r...</td>\n",
       "      <td>Whatever I ascribe to it at any given time. So...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Timestamp  \\\n",
       "0  2018/05/23 5:58:27 PM GMT+2   \n",
       "1  2018/05/23 6:10:01 PM GMT+2   \n",
       "2  2018/05/23 6:13:40 PM GMT+2   \n",
       "\n",
       "                                         role_models  \\\n",
       "0  Rhys Lindmark -- Pushing to do good in the com...   \n",
       "1  Emin Gun Sirer, Vlad Zamfir, Stephan Tual\\nEmi...   \n",
       "2  Vlad - just like his style. Nick Johnson - wel...   \n",
       "\n",
       "                                   orgs_com_mov_ideo  \\\n",
       "0  ETHPrize, Doge-Ethereum Art Project, Community...   \n",
       "1                     Universal Basic Income (UBI)\\n   \n",
       "2  Cyber libertarianism / digital self-sovereignt...   \n",
       "\n",
       "                                     values_ethereum  \\\n",
       "0  Transparency and Collaboration -- these result...   \n",
       "1  Openness, non-ideological, evidence-driven, de...   \n",
       "2  Openness, software for the people - by the peo...   \n",
       "\n",
       "                                       why_attracted  \\\n",
       "0  Community -- best people ever.  I've seen ETHP...   \n",
       "1  Solidity - being able to run code on the block...   \n",
       "2  Crypt0 / Omar Bham. I made decent money invest...   \n",
       "\n",
       "                                     happiest_memory  \\\n",
       "0  Getting the bounty for the Doge-Ethereum bridg...   \n",
       "1  Showing a friend a dApp and seeing his mind ge...   \n",
       "2  Getting interviewed by Vice magazine about cry...   \n",
       "\n",
       "                                         frustration  \\\n",
       "0  It's moving slowly and new people don't have c...   \n",
       "1  Some EIPs seem endless and unable to reach con...   \n",
       "2  Constantly frustrated with new projects coming...   \n",
       "\n",
       "                                          exhausting  \\\n",
       "0  Too much politics.  The unfreezing / governanc...   \n",
       "1  Rehashing of old arguments, infighting amongst...   \n",
       "2  Any \"purist\".  Bitcoin purist, immutability pu...   \n",
       "\n",
       "                                            failures  \\\n",
       "0                                         Governance   \n",
       "1  Reasonable clarity over timelines for importan...   \n",
       "2  Defining a clear Ethereum philosophy.  It may ...   \n",
       "\n",
       "                                         good_member  \\\n",
       "0  Transparency - collaboration -- willingness to...   \n",
       "1  Non-ideological (in terms of technology), happ...   \n",
       "2  Somebody who is both technically knowledgeable...   \n",
       "\n",
       "                                         your_values  \\\n",
       "0  Radical self reliance, inclusion, no judgment,...   \n",
       "1                                                      \n",
       "2  Individuality, straightforwardness, not being ...   \n",
       "\n",
       "                                              future  \\\n",
       "0                    Clearly an ultra positive one\\n   \n",
       "1                                                      \n",
       "2  One in which technology actually enhances the ...   \n",
       "\n",
       "                                               fears  \\\n",
       "0  Moving too slow -- letting governance limit ex...   \n",
       "1                                                      \n",
       "2  I fear that blockchain technology will never r...   \n",
       "\n",
       "                                        life_meaning other_comments  \n",
       "0  Self reflection, helping others, working on ha...                 \n",
       "1                                                                    \n",
       "2  Whatever I ascribe to it at any given time. So...                 "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Role models"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cleanup text\n",
    "\n",
    "Note cleanup can be improved but cleaning free text is notoriously hard as anyone can use arbitrary characters (even smileys)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:02.035066Z",
     "start_time": "2018-06-02T13:43:02.027177Z"
    }
   },
   "outputs": [],
   "source": [
    "def clean_punct(txt):\n",
    "    x = txt.replace(\"\\n\", \". \")\n",
    "    x = x.replace(\" -- \", \": \")\n",
    "    x = x.replace(\" - \", \": \")\n",
    "    x = x.replace(\" + \", \", \")\n",
    "    return x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:02.085498Z",
     "start_time": "2018-06-02T13:43:02.036076Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rhys Lindmark: Pushing to do good in the community through work at ETHCommons, ETHDenver, Effective Altruism.  Always positive, pro-builder, bringing the community together and completely transparent.  Griff Green: Ultimate connector, going out of his way to organize events for good of Ethereum like Open Source Block Explorer and ScalingNow!: helps me with intro's all the time, Andy (CryptoWanderer): building ETHPrize interview set and obsessed with developer relations and moving the ecosystem forward all from a mindset of giving back and super hard worker.\n"
     ]
    }
   ],
   "source": [
    "# Checking on the first text\n",
    "doc = nlp(clean_punct(df['role_models'][0]))\n",
    "print(doc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:02.089428Z",
     "start_time": "2018-06-02T13:43:02.086826Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(Rhys Lindmark,\n",
       " Griff Green,\n",
       " Ultimate,\n",
       " Ethereum like Open,\n",
       " ScalingNow,\n",
       " Andy,\n",
       " CryptoWanderer,\n",
       " ETHPrize)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Extracting named entities\n",
    "doc.ents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:02.095174Z",
     "start_time": "2018-06-02T13:43:02.090537Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rhys Lindmark PERSON\n",
      "Griff Green PERSON\n",
      "Ultimate ORG\n",
      "Ethereum like Open WORK_OF_ART\n",
      "ScalingNow ORG\n",
      "Andy PERSON\n",
      "CryptoWanderer ORG\n",
      "ETHPrize ORG\n"
     ]
    }
   ],
   "source": [
    "# Check entities type\n",
    "for ent in doc.ents:\n",
    "    print(ent.text, ent.label_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:02.098632Z",
     "start_time": "2018-06-02T13:43:02.096389Z"
    }
   },
   "outputs": [],
   "source": [
    "del doc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Role model extraction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:02.103500Z",
     "start_time": "2018-06-02T13:43:02.099760Z"
    }
   },
   "outputs": [],
   "source": [
    "def role_models_extraction(txt):\n",
    "    if txt == '':\n",
    "      return ''\n",
    "    doc = nlp(clean_punct(txt))\n",
    "    role_models = []\n",
    "    for named_entity in doc.ents:\n",
    "        if named_entity.label_ == 'PERSON':\n",
    "            txt = named_entity.text.replace(' ', '_')\n",
    "            role_models.append(txt)\n",
    "    return ', '.join(role_models)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:04.235422Z",
     "start_time": "2018-06-02T13:43:02.104687Z"
    }
   },
   "outputs": [],
   "source": [
    "df['role_models_extracted'] = df['role_models'].apply(role_models_extraction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:04.240830Z",
     "start_time": "2018-06-02T13:43:04.236537Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                       Rhys_Lindmark, Griff_Green, Andy\n",
       "1                     Vlad_Zamfir, Stephan_Tual, Stephan\n",
       "2                           Nick_Johnson, Taylor_Monahan\n",
       "3                 Nick_Johnson, Micah_Zoltu, Vlad_Zamfir\n",
       "4                                                       \n",
       "5               Vlad_Zamfir, Nick_Johnson, Martin_Swende\n",
       "6               Peter_Szilagyi, Daniel_Nagy, Viktor_Tron\n",
       "7               Piper_Merriam, Yoichi_Hirai, Vlad_Zamfir\n",
       "8                                 Vlad_Zamfir, Joe_Lubin\n",
       "9                   Gav, Christoph_Jentzsch, Ewald_Hesse\n",
       "10                Nick_Johnson, Greg_Colvin, Jarrad_Hope\n",
       "11            Vlad_Zamfir, Karl_Floersch, Hudson_Jameson\n",
       "12     Vlad_Zamfir, Joseph_Lubin, Karl_Floersch, Grif...\n",
       "13               Vlad_Zamphir, Griff_Green, Jori_Baylina\n",
       "14                           Viktor_Tron, Lewis_Marshall\n",
       "15              Nick_Johnson, Dan_Finlay, Hudson_Jameson\n",
       "16         Dmitry_Buterin, Gavin_Wood, Alex_Van_de_Sande\n",
       "17     Yoichi_Hirai, Alexey_Akhunov, Hudson_Jameson, ...\n",
       "18     Karl_Floersch, Lane_Rettig, Vlad_Zamfir, Vinay...\n",
       "19                            Joseph_Poon, Karl_Floersch\n",
       "20                               Joe_Lubin, Stephan_Tual\n",
       "21     Nick_Johnson, Vlad_Zamfir, Edmund_Edgar, Makot...\n",
       "22     Piper_Merriam, Nick_Johnson, Taylor_Monahan, T...\n",
       "23     Gavin_Wood, Ethereum, Alex_van_de_Sande, Ether...\n",
       "24     Vlad_Zamfir, Karl_Floersch, Christian_Reitwies...\n",
       "25                                 Vlad_Z, Rhys_L, Joe_L\n",
       "26             Griff_Green, Alex_van_de_Sande, Ming_Chan\n",
       "27                   Andy_Tudhope, Jon_Choi, Griff_Green\n",
       "28             Nick_Johnson, Vlad_Zamfir, Taylor_Monahan\n",
       "29            Hudson_Jameson, Griff_Green, Jordi_Baylina\n",
       "                             ...                        \n",
       "158    Vlad_Zamfir, Ethereum, Alex_Van_de_Sande, Jose...\n",
       "159                               Christian_Reitwiessner\n",
       "160                                                     \n",
       "161               Joe_Lubin, Vlad_Zamfir, Hudson_Jameson\n",
       "162                           Viktor_Tron, Joseph_Lubing\n",
       "163                                                     \n",
       "164                                        Zamfir, Lubin\n",
       "165                            Griff_Green, Mihai_Alisie\n",
       "166                        Andy_Millenius, Rhys_Lindmark\n",
       "167               David_Knott, Phil_Daian, Karl_Floersch\n",
       "168                Phil_Daian, Vlad_Zampfir, Lane_Rettig\n",
       "169    Vlad_Zamfir, Karl_Floersch, Hudson_Jameson, Ka...\n",
       "170                                   Karl, David, Vansa\n",
       "171             Taylor_Monahan, Ethereum, Jack, Ethereum\n",
       "172    Hudson_Jameson, Lane_Rettig, Simon_de_la_Rouvi...\n",
       "173                Ashley_Tyson, Luis_Cuende, Gavin_Wood\n",
       "174                                    Vlad, Eric, Steve\n",
       "175             Vlad_Zamfir, Nick_Johnson, Karl_Floersch\n",
       "176                  Joe_Lubin, Nick_Johnson, Dan_Finlay\n",
       "177    Mike_Goldin, Simon_de_la_Rouviere, Rhys_Lindma...\n",
       "178                                                 Vlad\n",
       "179                            Karl_Floersch, Liam_Horne\n",
       "180                      Karl_Floersch, rhys, EthCommons\n",
       "181                                    Rhys, Mike_Goldin\n",
       "182                       Vlad_Zamfir, Alex_Van_De_Sande\n",
       "183             Vlad_Zamfir, Hudson_Jameson, Luis_Cuende\n",
       "184    Wendell_Davies, Taylor_Monahan, MyCrypto, Grif...\n",
       "185                       Isabella_Rebel, Bob_Summerwill\n",
       "186                        Alex,, Vlad, William_Mouyager\n",
       "187              Jack_du_Rose, Griff_Green, Nick_Johnson\n",
       "Name: role_models_extracted, Length: 188, dtype: object"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['role_models_extracted']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Role model visualization\n",
    "\n",
    "Note: preprocessing can be further improved as we have:\n",
    "  - Vlad, Vlad_Z, vlad, Vlad_Zhamfir\n",
    "  - Ethereum recognized as a person"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:04.444316Z",
     "start_time": "2018-06-02T13:43:04.241989Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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pTkdLehrqCFilp1ZHwKqxtKRjZaBJyyB26MUbXz0fR35+Qbn8iJZUfvTtpzLa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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Concatenating all role models\n",
    "role_models = ''\n",
    "for idx, row in df['role_models_extracted'].iteritems():\n",
    "    role_models += ', ' + row \n",
    "\n",
    "# Setting up the figure\n",
    "plt.figure(figsize=(12,6))\n",
    "wordcloud = WordCloud(background_color='white', width=600, height=300,\n",
    "                      max_font_size=50, max_words=40).generate(role_models)\n",
    "plt.imshow(wordcloud)\n",
    "plt.title(\"Ethereum community role models\", fontsize=20)\n",
    "plt.axis(\"off\")\n",
    "plt.show()\n",
    "\n",
    "# Cleanup\n",
    "del role_models"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Organizations, communities, social movements, ideology loosely related"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "TODO. Given that we have a mix of organization names (Wikileaks, FSF ...), values (freedom, transparency, ...), ideologies (open-source, anarchism, liquid democracy ...), altcoins. This is tricky to process."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ethereum Values\n",
    "\n",
    "We extract coherent \"topics\" from the responses to what values should Ethereum embodies.\n",
    "We use LDA for that (Latent Dirichlet Allocation) which is a probabilistic method.\n",
    "Alternatively NMF (Nonnegative Matrix Factorization) which is a linear algebraic method can be used and might provide better or worse result."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:04.450144Z",
     "start_time": "2018-06-02T13:43:04.445579Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      Transparency and Collaboration -- these result...\n",
       "1      Openness, non-ideological, evidence-driven, de...\n",
       "2      Openness, software for the people - by the peo...\n",
       "3                   Resistance to government censorship.\n",
       "4                                                       \n",
       "5      Ethereum as a platform should remain neutral a...\n",
       "6      \"code is law\" and blockchain immutability, bec...\n",
       "7              Using incentive to make the world better.\n",
       "8      Anarchism, because the network fundamentally d...\n",
       "9                                                       \n",
       "10     One core value is openly and collaboratively s...\n",
       "11     Immutable ledger, but willing to change consen...\n",
       "12     Contribute to freedom and self-determination, ...\n",
       "13     Inclusiveness. Solution to prisoner's dilemma ...\n",
       "14           Freedom in scope of information technology.\n",
       "15     - Embracing change via forks to improve the pr...\n",
       "16     voluntary association of creators, self-govern...\n",
       "17                             Ethics outside of the Law\n",
       "18     There is this, which seems reasonable: https:/...\n",
       "19     We're all in this together (this being life) -...\n",
       "20             business neutrality, social inclusivity, \n",
       "21                          Honesty, Tolerance, Equality\n",
       "22     1. Technology exists to serve humans, not the ...\n",
       "23     Ethereum should embody the values of openness,...\n",
       "24     Decentralisation\\nSustainability\\nFairness\\nEq...\n",
       "25     Ambitious positive vision for the future \\nExe...\n",
       "26     Decentral; serve the human being and society; ...\n",
       "27     Inclusivity - we are building the future and i...\n",
       "28     Open, Easy to use, Transparent decisions, Push...\n",
       "29     Be transparent - have open discussions on any ...\n",
       "                             ...                        \n",
       "158    Openness - always being open to letting in new...\n",
       "159                                     do more together\n",
       "160    Ethereum shouldn't embody values, it should ex...\n",
       "161    Radical Decentralization, Inclusiveness, An ab...\n",
       "162                                                     \n",
       "163    Ethereum MUST become more user friendly if it'...\n",
       "164    Openness (public and private networks, program...\n",
       "165                    Freedom, choice, exit, neutrality\n",
       "166             openness, kindness, technical excellence\n",
       "167    Decentralization, freedom of infrastructure, c...\n",
       "168    If possible, \"sharding\" of governance. The sam...\n",
       "169    Trustworthiness, technological innovation and ...\n",
       "170    Genuine authenticity & open-mindedness.\\n\\nThe...\n",
       "171    Bold, fearless, warm, generous, kind. Honest t...\n",
       "172                                    Decentralization \n",
       "173    Impartiality. Because fairness and equal treat...\n",
       "174    Code is law and law is code.\\nDecentral govern...\n",
       "175    Self-sovereignty, freedom, egalitarianism and ...\n",
       "176    Ethereum is for everyone.\\nMake life for human...\n",
       "177                                            pluralism\n",
       "178    Humanism. We are still in the process to learn...\n",
       "179    1. Respectful and informed dialog among member...\n",
       "180    a good balance between healthy competition and...\n",
       "181    That good projects have Emergent properties, a...\n",
       "182            Openness, Inclusion and decentralization.\n",
       "183    Ethereum should be careful not to embody too m...\n",
       "184                  Freedom - that contains everything.\n",
       "185    Decentralization \\nInclusive values\\nDiscussio...\n",
       "186    The important thingsfor Etherereum are decentr...\n",
       "187    Fairness, inclusivity, neutrality, proactivene...\n",
       "Name: values_ethereum, Length: 188, dtype: object"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['values_ethereum']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data exploration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Exploration of preprocessing needs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:04.456846Z",
     "start_time": "2018-06-02T13:43:04.451255Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Transparency and Collaboration -- these result in speed and fairness.  Would like to see more on the innovation + moving faster side also.  Would be nice to have more formalized governance and a way to make things happen faster'"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['values_ethereum'][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:04.477499Z",
     "start_time": "2018-06-02T13:43:04.457920Z"
    }
   },
   "outputs": [],
   "source": [
    "doc = nlp(df['values_ethereum'][0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:04.485755Z",
     "start_time": "2018-06-02T13:43:04.478918Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Transparency\n",
      "and\n",
      "Collaboration\n",
      "--\n",
      "these\n",
      "result\n",
      "in\n",
      "speed\n",
      "and\n",
      "fairness\n",
      ".\n",
      " \n",
      "Would\n",
      "like\n",
      "to\n",
      "see\n",
      "more\n",
      "on\n",
      "the\n",
      "innovation\n",
      "+\n",
      "moving\n",
      "faster\n",
      "side\n",
      "also\n",
      ".\n",
      " \n",
      "Would\n",
      "be\n",
      "nice\n",
      "to\n",
      "have\n",
      "more\n",
      "formalized\n",
      "governance\n",
      "and\n",
      "a\n",
      "way\n",
      "to\n",
      "make\n",
      "things\n",
      "happen\n",
      "faster\n"
     ]
    }
   ],
   "source": [
    "for token in doc:\n",
    "    print(token.text)\n",
    "del doc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Preprocessing needs:\n",
    "- Removing stopwords\n",
    "\n",
    "- bigrams and trigrams\n",
    "  \n",
    "  Those represent 2 and 3 words that often come together\n",
    "  \n",
    "  Stopwords needs to be removed before that (e.g. Transparency and Collaboration)\n",
    "\n",
    "- Lemmatization (i.e. transforming \"enlightening\" into \"enlight\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:04.489834Z",
     "start_time": "2018-06-02T13:43:04.486947Z"
    }
   },
   "outputs": [],
   "source": [
    "def topic_modelling_preprocess(txt):    \n",
    "    # Remove stopwords\n",
    "    stop_words = nlp.Defaults.stop_words\n",
    "    stop_words.add('ethereum')\n",
    "    \n",
    "    cleaned = [word for word in simple_preprocess(txt, deacc = True) if word not in stop_words]\n",
    "    if cleaned == []:\n",
    "        return []\n",
    "    \n",
    "    # Lemmatization - TODO improve\n",
    "    doc = nlp(\" \".join(cleaned))    \n",
    "    result = [token.lemma_ for token in doc if token.pos_ in {'NOUN', 'ADJ', 'VERB', 'ADV'}]\n",
    "    return result\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:04.495506Z",
     "start_time": "2018-06-02T13:43:04.491176Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Openness, non-ideological, evidence-driven, decentralised'"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['values_ethereum'][1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:04.507145Z",
     "start_time": "2018-06-02T13:43:04.496906Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['openness', 'non', 'ideological', 'evidence', 'drive', 'decentralised']"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "topic_modelling_preprocess(df['values_ethereum'][1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:05.731173Z",
     "start_time": "2018-06-02T13:43:04.508444Z"
    }
   },
   "outputs": [],
   "source": [
    "eth_values = df['values_ethereum'].apply(topic_modelling_preprocess)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:05.741637Z",
     "start_time": "2018-06-02T13:43:05.732283Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      [transparency, collaboration, result, speed, f...\n",
       "1      [openness, non, ideological, evidence, drive, ...\n",
       "2      [openness, software, people, people, focus, ri...\n",
       "3                   [resistance, government, censorship]\n",
       "4                                                     []\n",
       "5                    [platform, remain, neutral, embody]\n",
       "6      [code, law, blockchain, immutability, need, un...\n",
       "7                             [incentive, world, better]\n",
       "8      [anarchism, network, fundamentally, derive, va...\n",
       "9                                                     []\n",
       "10     [core, value, openly, collaboratively, shape, ...\n",
       "11     [immutable, ledger, willing, change, consensus...\n",
       "12     [contribute, freedom, self, determination, res...\n",
       "13     [inclusiveness, solution, prisoner, dilemma, c...\n",
       "14             [freedom, scope, information, technology]\n",
       "15     [embrace, change, fork, improve, protocol, sta...\n",
       "16     [voluntary, association, creator, self, govern...\n",
       "17                                          [ethic, law]\n",
       "18     [reasonable, https, github, com, wiki, wiki, w...\n",
       "19     [life, shouldn, limit, contribution, individua...\n",
       "20           [business, neutrality, social, inclusivity]\n",
       "21                        [honesty, tolerance, equality]\n",
       "22     [technology, exist, serve, human, way, slave, ...\n",
       "23     [embody, value, openness, technological, progr...\n",
       "24     [sustainability, fairness, equal, right, justi...\n",
       "25     [ambitious, positive, vision, future, executio...\n",
       "26     [decentral, serve, human, society, freedom, es...\n",
       "27     [inclusivity, build, future, include, people, ...\n",
       "28     [open, easy, use, transparent, decision, push,...\n",
       "29     [transparent, open, discussion, topic, involve...\n",
       "                             ...                        \n",
       "158    [openness, open, let, new, people, community, ...\n",
       "159                                                   []\n",
       "160       [shouldn, embody, value, execute, transaction]\n",
       "161    [radical, inclusiveness, ability, think, socia...\n",
       "162                                                   []\n",
       "163    [user, friendly, attract, people, old, genx, m...\n",
       "164    [openness, public, private, network, program, ...\n",
       "165                  [freedom, choice, exit, neutrality]\n",
       "166          [openness, kindness, technical, excellence]\n",
       "167    [freedom, infrastructure, common, carriage, ab...\n",
       "168    [possible, shard, governance, way, male, shoul...\n",
       "169    [trustworthiness, technological, innovation, r...\n",
       "170    [genuine, authenticity, open, mindedness, pena...\n",
       "171       [bold, fearless, warm, generous, kind, honest]\n",
       "172                                                   []\n",
       "173    [impartiality, fairness, equal, treatment, mea...\n",
       "174    [code, law, law, code, decentral, governance, ...\n",
       "175    [self, sovereignty, freedom, egalitarianism, c...\n",
       "176                                [life, human, better]\n",
       "177                                          [pluralism]\n",
       "178                    [humanism, process, learn, human]\n",
       "179    [respectful, informed, dialog, member, inter, ...\n",
       "180    [good, balance, healthy, competition, collabor...\n",
       "181    [good, project, emergent, property, rent, seek...\n",
       "182                                [openness, inclusion]\n",
       "183    [careful, embody, value, restrict, unforseen, ...\n",
       "184                                   [freedom, contain]\n",
       "185    [inclusive, value, discussion, revolt, evoluti...\n",
       "186    [important, thingsfor, etherereum, possibility...\n",
       "187    [fairness, inclusivity, neutrality, proactiven...\n",
       "Name: values_ethereum, Length: 188, dtype: object"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eth_values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notes\n",
    "  - The spaCy lemmatization is approximative. Openly and openness should have the same lemma for example.\n",
    "  - It seems like website needs to be cleanup as well, there are some 'http', 'www' lurking in the data\n",
    "  - I didn't use n-grams yet for this example"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dictionary and corpus for topic modelling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:05.752812Z",
     "start_time": "2018-06-02T13:43:05.742655Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(14, 1), (15, 1), (16, 1), (17, 1), (18, 1), (19, 1)]\n",
      "openness\n"
     ]
    }
   ],
   "source": [
    "# Create Dictionary\n",
    "id2word = corpora.Dictionary(eth_values)\n",
    "\n",
    "# Term Document Frequency\n",
    "corpus = [id2word.doc2bow(text) for text in eth_values]\n",
    "\n",
    "# View\n",
    "print(corpus[1])\n",
    "print(id2word[14])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Extracting the topics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:05.757009Z",
     "start_time": "2018-06-02T13:43:05.753867Z"
    }
   },
   "outputs": [],
   "source": [
    "num_topics = 7 # This is very important to tune.\n",
    "               # The mainly 'people', 'respect' and 'censorship' topics appear for some values but not others for example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:07.525017Z",
     "start_time": "2018-06-02T13:43:05.758008Z"
    }
   },
   "outputs": [],
   "source": [
    "lda_model = LdaModel(corpus=corpus,\n",
    "                     id2word=id2word,\n",
    "                     num_topics=num_topics,\n",
    "                     random_state=1337,\n",
    "                     update_every=1,\n",
    "                     chunksize=100,\n",
    "                     passes=10,\n",
    "                     alpha='auto',\n",
    "                     per_word_topics=True)\n",
    "del num_topics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Topic visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:07.532650Z",
     "start_time": "2018-06-02T13:43:07.526700Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(0,\n",
      "  '0.025*\"thing\" + 0.016*\"need\" + 0.016*\"system\" + 0.014*\"social\" + '\n",
      "  '0.013*\"good\" + 0.013*\"build\" + 0.012*\"possible\" + 0.012*\"create\" + '\n",
      "  '0.011*\"contribute\" + 0.011*\"fair\"'),\n",
      " (1,\n",
      "  '0.023*\"open\" + 0.017*\"inclusion\" + 0.017*\"trust\" + 0.016*\"equality\" + '\n",
      "  '0.014*\"inclusivity\" + 0.012*\"technology\" + 0.012*\"blockchain\" + '\n",
      "  '0.012*\"social\" + 0.012*\"platform\" + 0.011*\"community\"'),\n",
      " (2,\n",
      "  '0.020*\"respect\" + 0.019*\"transparency\" + 0.016*\"human\" + 0.016*\"integrity\" '\n",
      "  '+ 0.014*\"freedom\" + 0.014*\"people\" + 0.011*\"social\" + 0.011*\"world\" + '\n",
      "  '0.010*\"good\" + 0.009*\"building\"'),\n",
      " (3,\n",
      "  '0.023*\"value\" + 0.022*\"freedom\" + 0.019*\"technology\" + 0.019*\"community\" + '\n",
      "  '0.013*\"blockchain\" + 0.012*\"term\" + 0.012*\"don\" + 0.011*\"expression\" + '\n",
      "  '0.011*\"network\" + 0.010*\"openness\"'),\n",
      " (4,\n",
      "  '0.015*\"individual\" + 0.015*\"discussion\" + 0.014*\"shouldn\" + 0.014*\"value\" + '\n",
      "  '0.012*\"freedom\" + 0.012*\"self\" + 0.012*\"censorship\" + 0.010*\"collaboration\" '\n",
      "  '+ 0.009*\"project\" + 0.009*\"lead\"'),\n",
      " (5,\n",
      "  '0.016*\"new\" + 0.015*\"value\" + 0.015*\"people\" + 0.012*\"end\" + '\n",
      "  '0.012*\"openness\" + 0.012*\"think\" + 0.012*\"community\" + 0.010*\"user\" + '\n",
      "  '0.010*\"long\" + 0.010*\"good\"'),\n",
      " (6,\n",
      "  '0.025*\"community\" + 0.024*\"open\" + 0.015*\"people\" + 0.014*\"transparency\" + '\n",
      "  '0.012*\"honest\" + 0.011*\"fairness\" + 0.011*\"collaboration\" + 0.011*\"focus\" + '\n",
      "  '0.011*\"innovation\" + 0.010*\"openness\"')]\n"
     ]
    }
   ],
   "source": [
    "pprint.pprint(lda_model.print_topics())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:08.048459Z",
     "start_time": "2018-06-02T13:43:07.533961Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<link rel=\"stylesheet\" type=\"text/css\" href=\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.css\">\n",
       "\n",
       "\n",
       "<div id=\"ldavis_el313701404884389199603129932026\"></div>\n",
       "<script type=\"text/javascript\">\n",
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\"discourse\", \"discussion\", \"disruption\", \"distribute\", \"distribute\", \"diverse\", \"do\", \"dogma\", \"don\", \"don\", \"don\", \"drive\", \"drive\", \"easy\", \"easy\", \"economic\", \"economic\", \"economy\", \"ecosystem\", \"ecosystem\", \"ecosystem\", \"eip\", \"elite\", \"embody\", \"embody\", \"embody\", \"embody\", \"embrace\", \"empowerment\", \"enable\", \"end\", \"end\", \"enrich\", \"equal\", \"equality\", \"equality\", \"equality\", \"especially\", \"eth\", \"evaluate\", \"evidence\", \"excellence\", \"exchange\", \"exist\", \"exist\", \"exist\", \"experiment\", \"experimentation\", \"experimentation\", \"expression\", \"fair\", \"fair\", \"fairness\", \"fairness\", \"faster\", \"fearless\", \"feel\", \"fight\", \"focus\", \"focus\", \"force\", \"form\", \"free\", \"freedom\", \"freedom\", \"freedom\", \"freedom\", \"freely\", \"friendliness\", \"friendly\", \"friendly\", \"future\", \"future\", \"future\", \"future\", \"future\", \"generation\", \"generous\", \"genx\", \"get\", \"get\", \"globalisation\", \"goal\", \"goal\", \"good\", \"good\", \"good\", \"good\", \"good\", \"good\", \"goodbye\", \"govern\", \"governance\", \"governance\", \"governance\", \"governance\", \"governance\", \"government\", \"government\", \"great\", \"great\", \"hack\", \"hard\", \"hard\", \"help\", \"help\", \"help\", \"hide\", \"high\", \"history\", \"hold\", \"hold\", \"holder\", \"honest\", \"honesty\", \"human\", \"human\", \"human\", \"human\", \"human\", \"idea\", \"idea\", \"idea\", \"idea\", \"idea\", \"idea\", \"identity\", \"ideological\", \"ideology\", \"immutability\", \"immutability\", \"impact\", \"impact\", \"impact\", \"impact\", \"implementation\", \"importance\", \"important\", \"important\", \"improve\", \"improve\", \"improvement\", \"incentivization\", \"include\", \"inclusion\", \"inclusion\", \"inclusive\", \"inclusive\", \"inclusive\", \"inclusive\", \"inclusiveness\", \"inclusivity\", \"inclusivity\", \"inclusivity\", \"increase\", \"individual\", \"individual\", \"information\", \"infrastructure\", \"infrastructure\", \"innovation\", \"innovation\", \"integrity\", \"interest\", \"interest\", \"ip\", \"kind\", \"knowledge\", \"language\", \"law\", \"lead\", \"lead\", \"learn\", \"ledger\", \"life\", \"life\", \"logic\", \"long\", \"long\", \"loyalty\", \"maintain\", \"maintain\", \"marginalize\", \"mean\", \"meet\", \"member\", \"merit\", \"merit\", \"millenial\", \"mindedness\", \"minimization\", \"model\", \"need\", \"need\", \"need\", \"network\", \"network\", \"network\", \"neutrality\", \"new\", \"non\", \"non\", \"non\", \"not\", \"old\", \"open\", \"open\", \"open\", \"open\", \"openness\", \"openness\", \"openness\", \"openness\", \"openness\", \"openness\", \"opportunity\", \"outreach\", \"outsider\", \"participation\", \"participation\", \"peer\", \"people\", \"people\", \"people\", \"people\", \"people\", \"people\", \"people\", \"perfect\", \"permissionless\", \"person\", \"place\", \"place\", \"place\", \"platform\", \"platform\", \"platform\", \"platform\", \"point\", \"political\", \"political\", \"positive\", \"positive\", \"possible\", \"possible\", \"potential\", \"potential\", \"power\", \"power\", \"power\", \"power\", \"pragmatism\", \"pragmatism\", \"primarily\", \"principle\", \"privacy\", \"privacy\", \"privacy\", \"private\", \"private\", \"proactiveness\", \"process\", \"process\", \"program\", \"progress\", \"progress\", \"progress\", \"project\", \"property\", \"protocol\", \"protocol\", \"provably\", \"purpose\", \"radical\", \"radical\", \"rail\", \"real\", \"reject\", \"remain\", \"require\", \"resistance\", \"resistance\", \"resistant\", \"respect\", \"respect\", \"responsibility\", \"rule\", \"rule\", \"run\", \"say\", \"say\", \"say\", \"scheme\", \"science\", \"seek\", \"self\", \"self\", \"self\", \"self\", \"self\", \"sense\", \"serve\", \"serve\", \"serve\", \"shape\", \"share\", \"share\", \"share\", \"short\", \"shouldn\", \"similarly\", \"simplicity\", \"simply\", \"size\", \"social\", \"social\", \"social\", \"social\", \"society\", \"society\", \"society\", \"society\", \"society\", \"solution\", \"solution\", \"sophisticated\", \"sovereignty\", \"special\", \"stability\", \"stake\", \"stakeholder\", \"state\", \"structural\", \"success\", \"sure\", \"system\", \"system\", \"system\", \"tech\", \"tech\", \"technical\", \"technical\", \"technical\", \"technical\", \"technicality\", \"technological\", \"technological\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"tell\", \"term\", \"thing\", \"thing\", \"think\", \"think\", \"think\", \"tool\", \"traditional\", \"transparency\", \"transparency\", \"transparency\", \"transparency\", \"transparent\", \"transparent\", \"transparent\", \"trust\", \"trust\", \"trust\", \"usability\", \"use\", \"use\", \"use\", \"user\", \"value\", \"value\", \"value\", \"value\", \"victimize\", \"view\", \"violence\", \"virtue\", \"vote\", \"want\", \"want\", \"want\", \"warm\", \"way\", \"way\", \"way\", \"way\", \"welcome\", \"win\", \"win\", \"wise\", \"work\", \"work\", \"work\", \"world\", \"world\", \"world\", \"world\", \"world\", \"wouldn\", \"year\"]}, \"R\": 30, \"lambda.step\": 0.01, \"plot.opts\": {\"xlab\": \"PC1\", \"ylab\": \"PC2\"}, \"topic.order\": [6, 7, 4, 1, 5, 3, 2]};\n",
       "\n",
       "function LDAvis_load_lib(url, callback){\n",
       "  var s = document.createElement('script');\n",
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       "  s.async = true;\n",
       "  s.onreadystatechange = s.onload = callback;\n",
       "  s.onerror = function(){console.warn(\"failed to load library \" + url);};\n",
       "  document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "}\n",
       "\n",
       "if(typeof(LDAvis) !== \"undefined\"){\n",
       "   // already loaded: just create the visualization\n",
       "   !function(LDAvis){\n",
       "       new LDAvis(\"#\" + \"ldavis_el313701404884389199603129932026\", ldavis_el313701404884389199603129932026_data);\n",
       "   }(LDAvis);\n",
       "}else if(typeof define === \"function\" && define.amd){\n",
       "   // require.js is available: use it to load d3/LDAvis\n",
       "   require.config({paths: {d3: \"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min\"}});\n",
       "   require([\"d3\"], function(d3){\n",
       "      window.d3 = d3;\n",
       "      LDAvis_load_lib(\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.js\", function(){\n",
       "        new LDAvis(\"#\" + \"ldavis_el313701404884389199603129932026\", ldavis_el313701404884389199603129932026_data);\n",
       "      });\n",
       "    });\n",
       "}else{\n",
       "    // require.js not available: dynamically load d3 & LDAvis\n",
       "    LDAvis_load_lib(\"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js\", function(){\n",
       "         LDAvis_load_lib(\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.js\", function(){\n",
       "                 new LDAvis(\"#\" + \"ldavis_el313701404884389199603129932026\", ldavis_el313701404884389199603129932026_data);\n",
       "            })\n",
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       "}\n",
       "</script>"
      ],
      "text/plain": [
       "PreparedData(topic_coordinates=            Freq  cluster  topics         x         y\n",
       "topic                                                \n",
       "5      19.899164        1       1 -0.084451  0.122038\n",
       "6      15.850504        1       2 -0.098677  0.021983\n",
       "3      15.095429        1       3  0.004899 -0.044305\n",
       "0      14.684354        1       4  0.005768 -0.158671\n",
       "4      14.200269        1       5  0.167897  0.068162\n",
       "2      10.568800        1       6  0.076140  0.010185\n",
       "1       9.701480        1       7 -0.071576 -0.019392, topic_info=     Category       Freq           Term      Total  loglift  logprob\n",
       "term                                                                \n",
       "161   Default  17.000000           open  17.000000  30.0000  30.0000\n",
       "12    Default  11.000000          thing  11.000000  29.0000  29.0000\n",
       "115   Default  19.000000        freedom  19.000000  28.0000  28.0000\n",
       "51    Default  22.000000          value  22.000000  27.0000  27.0000\n",
       "0     Default  15.000000   transparency  15.000000  26.0000  26.0000\n",
       "268   Default   6.000000        respect   6.000000  25.0000  25.0000\n",
       "350   Default   7.000000      inclusion   7.000000  24.0000  24.0000\n",
       "137   Default  26.000000      community  26.000000  23.0000  23.0000\n",
       "235   Default   7.000000            new   7.000000  22.0000  22.0000\n",
       "213   Default  12.000000         social  12.000000  21.0000  21.0000\n",
       "131   Default   8.000000     individual   8.000000  20.0000  20.0000\n",
       "232   Default   8.000000          trust   8.000000  19.0000  19.0000\n",
       "389   Default   4.000000      integrity   4.000000  18.0000  18.0000\n",
       "41    Default   9.000000           need   9.000000  17.0000  17.0000\n",
       "210   Default   5.000000     discussion   5.000000  16.0000  16.0000\n",
       "217   Default   6.000000       equality   6.000000  15.0000  15.0000\n",
       "84    Default   9.000000         system   9.000000  14.0000  14.0000\n",
       "203   Default   5.000000        shouldn   5.000000  13.0000  13.0000\n",
       "39    Default  11.000000     blockchain  11.000000  12.0000  12.0000\n",
       "66    Default  16.000000     technology  16.000000  11.0000  11.0000\n",
       "1     Default   7.000000  collaboration   7.000000  10.0000  10.0000\n",
       "104   Default  12.000000          human  12.000000   9.0000   9.0000\n",
       "214   Default   6.000000    inclusivity   6.000000   8.0000   8.0000\n",
       "572   Default   4.000000           term   4.000000   7.0000   7.0000\n",
       "252   Default   7.000000         create   7.000000   6.0000   6.0000\n",
       "164   Default   5.000000        radical   5.000000   5.0000   5.0000\n",
       "4     Default   5.000000       fairness   5.000000   4.0000   4.0000\n",
       "284   Default   7.000000           work   7.000000   3.0000   3.0000\n",
       "160   Default   4.000000         honest   4.000000   2.0000   2.0000\n",
       "271   Default   6.000000       possible   6.000000   1.0000   1.0000\n",
       "...       ...        ...            ...        ...      ...      ...\n",
       "282    Topic7   2.163215            win   3.873981   1.7502  -4.6444\n",
       "869    Topic7   1.635813        private   3.012192   1.7224  -4.9239\n",
       "25     Topic7   1.808413           easy   3.463192   1.6832  -4.8235\n",
       "350    Topic7   3.754315      inclusion   7.291925   1.6690  -4.0931\n",
       "737    Topic7   1.187897     distribute   2.329233   1.6595  -5.2438\n",
       "438    Topic7   0.576578   technicality   1.172371   1.6232  -5.9666\n",
       "509    Topic7   0.576578           real   1.172371   1.6232  -5.9666\n",
       "439    Topic7   0.576578    comfortable   1.172371   1.6232  -5.9666\n",
       "214    Topic7   3.139050    inclusivity   6.667523   1.5796  -4.2721\n",
       "285    Topic7   1.756631          place   3.773522   1.5683  -4.8526\n",
       "232    Topic7   3.728923          trust   8.438382   1.5162  -4.0999\n",
       "161    Topic7   5.126677           open  17.156704   1.1250  -3.7815\n",
       "164    Topic7   2.164161        radical   5.892973   1.3312  -4.6440\n",
       "33     Topic7   2.619847       platform   8.057212   1.2094  -4.4529\n",
       "220    Topic7   1.549441           help   3.724374   1.4559  -4.9781\n",
       "377    Topic7   1.627220          great   4.119367   1.4041  -4.9291\n",
       "504    Topic7   1.562587          share   4.152360   1.3556  -4.9697\n",
       "39     Topic7   2.711041     blockchain  11.503231   0.8876  -4.4187\n",
       "125    Topic7   1.778808       decision   5.450700   1.2131  -4.8401\n",
       "213    Topic7   2.680596         social  12.315589   0.8081  -4.4300\n",
       "284    Topic7   2.105943           work   7.866561   1.0150  -4.6712\n",
       "11     Topic7   1.704574            way   5.182590   1.2209  -4.8827\n",
       "66     Topic7   2.745499     technology  16.732915   0.5255  -4.4060\n",
       "252    Topic7   1.857364         create   7.636517   0.9191  -4.7968\n",
       "137    Topic7   2.365926      community  26.388047  -0.0788  -4.5548\n",
       "79     Topic7   1.740947      currently   6.872345   0.9598  -4.8616\n",
       "171    Topic7   1.549474            use   4.728794   1.2171  -4.9781\n",
       "104    Topic7   1.677358          human  12.465894   0.3271  -4.8988\n",
       "412    Topic7   1.451258     pragmatism   4.260430   1.2560  -5.0436\n",
       "4      Topic7   1.458257       fairness   5.993623   0.9194  -5.0388\n",
       "\n",
       "[396 rows x 6 columns], token_table=      Topic      Freq           Term\n",
       "term                                \n",
       "842       6  0.456071        abandon\n",
       "687       5  0.861300           able\n",
       "879       6  0.701758        absence\n",
       "207       1  0.126224         access\n",
       "207       2  0.252449         access\n",
       "207       3  0.126224         access\n",
       "207       4  0.378673         access\n",
       "207       5  0.126224         access\n",
       "831       3  0.797903  accessibility\n",
       "112       5  0.407019        achieve\n",
       "112       6  0.407019        achieve\n",
       "418       3  0.486082       agnostic\n",
       "418       4  0.486082       agnostic\n",
       "157       2  0.930453      alignment\n",
       "280       2  0.295138    alternative\n",
       "280       5  0.590276    alternative\n",
       "321       1  0.912142       ambition\n",
       "568       3  0.927766           anti\n",
       "355       5  0.498850            app\n",
       "338       1  0.911984    application\n",
       "414       4  0.949503          argue\n",
       "852       6  0.456071        attract\n",
       "288       2  0.930486   authenticity\n",
       "715       5  0.664895     automation\n",
       "714       5  0.664895       autonomy\n",
       "583       4  0.756101      awareness\n",
       "776       1  0.746232     background\n",
       "329       2  0.830284        believe\n",
       "503       7  0.602836        benefit\n",
       "46        3  0.753954         better\n",
       "...     ...       ...            ...\n",
       "51        3  0.359729          value\n",
       "51        4  0.089932          value\n",
       "51        5  0.224831          value\n",
       "906       6  0.701753      victimize\n",
       "445       7  0.508274           view\n",
       "175       5  0.498689       violence\n",
       "267       6  0.532687         virtue\n",
       "919       6  0.701753           vote\n",
       "90        1  0.441046           want\n",
       "90        3  0.441046           want\n",
       "90        4  0.147015           want\n",
       "961       7  0.675267           warm\n",
       "11        1  0.385907            way\n",
       "11        2  0.192954            way\n",
       "11        3  0.192954            way\n",
       "11        7  0.385907            way\n",
       "388       2  0.739315        welcome\n",
       "282       2  0.258132            win\n",
       "282       7  0.516265            win\n",
       "783       5  0.664895           wise\n",
       "284       2  0.381361           work\n",
       "284       4  0.254241           work\n",
       "284       7  0.254241           work\n",
       "45        2  0.093142          world\n",
       "45        3  0.279426          world\n",
       "45        4  0.372568          world\n",
       "45        6  0.279426          world\n",
       "45        7  0.093142          world\n",
       "432       7  0.507683         wouldn\n",
       "780       1  0.746232           year\n",
       "\n",
       "[524 rows x 3 columns], R=30, lambda_step=0.01, plot_opts={'xlab': 'PC1', 'ylab': 'PC2'}, topic_order=[6, 7, 4, 1, 5, 3, 2])"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Visualize the topics\n",
    "# Note topic ID by pyLDAvis use a different index from the previous pretty-printed topics\n",
    "\n",
    "pyLDAvis.enable_notebook()\n",
    "vis = pyLDAvis.gensim.prepare(lda_model, corpus, id2word)\n",
    "vis # Interactive vizualization, doesn't work on Github"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In case pyLDAvis is not installed, this is a non-interactive version of the output visualization\n",
    "with focus on the \"community\" topic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:08.054555Z",
     "start_time": "2018-06-02T13:43:08.049902Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename=\"./images/2018-06-02_10-51-45.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cleanup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:08.057570Z",
     "start_time": "2018-06-02T13:43:08.055630Z"
    }
   },
   "outputs": [],
   "source": [
    "del id2word\n",
    "del corpus\n",
    "del eth_values\n",
    "del vis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Productionizing topic modelling\n",
    "\n",
    "We put everything with done manually in a function so we can do topic modelling in a one-liner for the answers of the other questions.\n",
    "\n",
    "Note: we do lemmatization after n_grams to as many combinations like \"non-technical\" have a canonical use"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Introducing the heavy lifters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:08.066972Z",
     "start_time": "2018-06-02T13:43:08.058625Z"
    }
   },
   "outputs": [],
   "source": [
    "def gen_stop_words(extra_stop_words):\n",
    "    ## Expect a list of stop words in lowercase\n",
    "    result = nlp.Defaults.stop_words\n",
    "    for word in extra_stop_words:\n",
    "        result.add(word)\n",
    "    return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:08.075841Z",
     "start_time": "2018-06-02T13:43:08.068304Z"
    }
   },
   "outputs": [],
   "source": [
    "def model_topics(txts, num_topics, stop_words, use_ngrams = False, n_grams_min_count = 5, n_grams_score_threshold = 1):\n",
    "    # Note: here we process the whole dataframe series\n",
    "    \n",
    "    # Transform the serie into a list of list of words,\n",
    "    # Remove stopwords at the same time\n",
    "    cleaned = []\n",
    "    for idx, txt in txts.iteritems():\n",
    "        # Remove stopwords\n",
    "        cleaned += [[word for word in simple_preprocess(txt, deacc = True) if word not in stop_words]]\n",
    "    \n",
    "    if use_ngrams:\n",
    "        # Build bigrams and trigrams\n",
    "        bigrams = Phraser(Phrases(cleaned, min_count=n_grams_min_count, threshold=n_grams_score_threshold))\n",
    "        trigrams = Phraser(Phrases(bigrams[cleaned], threshold=n_grams_score_threshold))\n",
    "        \n",
    "        # Now create the bag of words with the new trigrams\n",
    "        cleaned = [trigrams[bigrams[txt]] for txt in cleaned]\n",
    "    \n",
    "    # Lemmatization - TODO improve\n",
    "    lemmatized = []\n",
    "    for txt in cleaned:\n",
    "        if txt == []:\n",
    "            lemmatized += []\n",
    "        else:\n",
    "            doc = nlp(\" \".join(txt))    \n",
    "            lemmatized += [[token.lemma_ for token in doc if token.pos_ in {'NOUN', 'ADJ', 'VERB', 'ADV'}]]\n",
    "            \n",
    "    print(\"Snippet of keywords for topic modelling for the first 10 answers\")\n",
    "    print(lemmatized[0:10])\n",
    "        \n",
    "    # Create Dictionary\n",
    "    id2word = corpora.Dictionary(lemmatized)\n",
    "\n",
    "    # Term Document Frequency\n",
    "    corpus = [id2word.doc2bow(text) for text in lemmatized]\n",
    "    \n",
    "    # Modelling\n",
    "    lda_model = LdaModel(corpus=corpus,\n",
    "                         id2word=id2word,\n",
    "                         num_topics=num_topics,\n",
    "                         random_state=1337,\n",
    "                         update_every=1,\n",
    "                         chunksize=100,\n",
    "                         passes=10,\n",
    "                         alpha='auto',\n",
    "                         per_word_topics=True)\n",
    "    \n",
    "    ## Model performance\n",
    "    print(\"\\nModel performance\\n\")\n",
    "    \n",
    "    ## Perplexity\n",
    "    print(f\"\"\"Perplexity: {lda_model.log_perplexity(corpus)}. Lower is better.\n",
    "    See https://en.wikipedia.org/wiki/Perplexity.\n",
    "    The best number of topics minimize perplexity.\n",
    "    \"\"\")\n",
    "    \n",
    "    ## Coherence\n",
    "    coherence = CoherenceModel(\n",
    "        model=lda_model,\n",
    "        texts=lemmatized,\n",
    "        dictionary=id2word,\n",
    "        coherence='c_v'\n",
    "    )\n",
    "    ## Corpus coherence\n",
    "    print(f'Whole model coherence: {coherence.get_coherence()}.')\n",
    "    \n",
    "    ## By topic coherence\n",
    "    topic_coherences = coherence.get_coherence_per_topic()\n",
    "    print(f\"\"\"\n",
    "By topic coherence. Higher is better.\n",
    "    Measure how \"well related\" are the top words within the same topic.\n",
    "    \"\"\")\n",
    "    \n",
    "    print(f'topic_id | {\"top 3 keywords\".rjust(45)} | topic coherence')\n",
    "    for topic_id in range(num_topics):\n",
    "        words_proba = lda_model.show_topic(topic_id, topn=3)\n",
    "        words = [words for words,proba in words_proba]\n",
    "        print(f'{topic_id:>8} | {str(words).rjust(45)} | {topic_coherences[topic_id]:>8.4f}')\n",
    "    \n",
    "    return lda_model, corpus, id2word"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T07:45:43.068423Z",
     "start_time": "2018-06-02T07:45:43.066701Z"
    }
   },
   "source": [
    "### Sanity check on Ethereum values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:11.416336Z",
     "start_time": "2018-06-02T13:43:08.076941Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Snippet of keywords for topic modelling for the first 10 answers\n",
      "[['transparency', 'collaboration', 'result', 'speed', 'fairness', 'innovation', 'move', 'faster', 'nice', 'formalize', 'governance_way', 'thing', 'happen', 'faster'], ['openness', 'non', 'ideological', 'evidence', 'drive', 'decentralised'], ['openness', 'software', 'people', 'people', 'focus', 'right', 'oppose', 'easy', 'establish', 'fearlessness', 'adaptability', 'sustainability'], ['resistance', 'government_censorship'], ['platform', 'remain', 'neutral', 'embody'], ['code_law', 'blockchain', 'immutability', 'need', 'unstoppable', 'dapp'], ['incentive', 'world_better'], ['anarchism', 'network', 'fundamentally', 'derive', 'value', 'sum', 'participant', 'voluntary', 'actor', 'network', 'ability', 'hold', 'value', 'proportional', 'ability', 'stake', 'holder', 'happy'], ['core_value', 'openly', 'collaboratively', 'shaping_technology', 'depend', 'order', 'bring', 'good', 'quality', 'people', 'society', 'underlie', 'infrastructure', 'sort', 'technology', 'expression', 'day', 'day', 'live', 'currently', 'shape', 'market', 'force', 'governmental', 'process', 'system', 'lead', 'monopolization', 'mass', 'error', 'core_value', 'choice', 'want', 'participate', 'particular', 'technology', 'configuration', 'ability', 'good', 'suit', 'need', 'value', 'accord', 'value', 'have', 'choice', 'choose', 'configuration', 'potential', 'provide', 'ideal', 'environment', 'reach', 'full', 'potential', 'human', 'being'], ['immutable', 'ledger', 'willing', 'change', 'consensus', 'rule', 'achieve', 'scale']]\n",
      "\n",
      "Model performance\n",
      "\n",
      "Perplexity: -7.373721753662196. Lower is better.\n",
      "    See https://en.wikipedia.org/wiki/Perplexity.\n",
      "    The best number of topics minimize perplexity.\n",
      "    \n",
      "Whole model coherence: 0.3459647139740333.\n",
      "\n",
      "By topic coherence. Higher is better.\n",
      "    Measure how \"well related\" are the top words within the same topic.\n",
      "    \n",
      "topic_id |                                top 3 keywords | topic coherence\n",
      "       0 |        ['freedom', 'community', 'technology'] |   0.3170\n",
      "       1 |             ['openness', 'blockchain', 'don'] |   0.3270\n",
      "       2 |             ['thing', 'long', 'immutability'] |   0.2360\n",
      "       3 |            ['create', 'shouldn', 'community'] |   0.3263\n",
      "       4 |                  ['good', 'people', 'system'] |   0.4523\n",
      "       5 |           ['discussion', 'community', 'self'] |   0.4580\n",
      "       6 |           ['respect', 'open', 'transparency'] |   0.3052\n"
     ]
    }
   ],
   "source": [
    "stop_words = gen_stop_words(['ethereum'])\n",
    "\n",
    "lda_model, corpus, id2word = model_topics(\n",
    "    df['values_ethereum'], 7, stop_words,\n",
    "    use_ngrams = True, n_grams_min_count = 1, n_grams_score_threshold = 1 # Need more data to have less permissive thresholds\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:11.944062Z",
     "start_time": "2018-06-02T13:43:11.418386Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(0,\n",
      "  '0.032*\"freedom\" + 0.022*\"community\" + 0.022*\"technology\" + 0.015*\"equality\" '\n",
      "  '+ 0.014*\"need\" + 0.011*\"expression\" + 0.011*\"people\" + 0.010*\"individual\" + '\n",
      "  '0.009*\"inclusion\" + 0.008*\"level\"'),\n",
      " (1,\n",
      "  '0.022*\"openness\" + 0.019*\"blockchain\" + 0.015*\"don\" + 0.013*\"new\" + '\n",
      "  '0.012*\"innovation\" + 0.011*\"project\" + 0.011*\"say\" + 0.011*\"idea\" + '\n",
      "  '0.010*\"people\" + 0.010*\"privacy\"'),\n",
      " (2,\n",
      "  '0.028*\"thing\" + 0.014*\"long\" + 0.014*\"immutability\" + 0.014*\"transparency\" '\n",
      "  '+ 0.014*\"possible\" + 0.012*\"human\" + 0.011*\"dapp\" + 0.009*\"pragmatism\" + '\n",
      "  '0.009*\"build\" + 0.009*\"enable\"'),\n",
      " (3,\n",
      "  '0.016*\"create\" + 0.015*\"shouldn\" + 0.014*\"community\" + 0.013*\"user\" + '\n",
      "  '0.012*\"world\" + 0.012*\"individual\" + 0.012*\"people\" + 0.010*\"technology\" + '\n",
      "  '0.010*\"blockchain\" + 0.010*\"empower\"'),\n",
      " (4,\n",
      "  '0.023*\"good\" + 0.017*\"people\" + 0.017*\"system\" + 0.015*\"world\" + '\n",
      "  '0.010*\"want\" + 0.010*\"think\" + 0.009*\"honest\" + 0.009*\"power\" + '\n",
      "  '0.009*\"open\" + 0.009*\"build\"'),\n",
      " (5,\n",
      "  '0.018*\"discussion\" + 0.016*\"community\" + 0.013*\"self\" + 0.013*\"property\" + '\n",
      "  '0.013*\"end\" + 0.011*\"base\" + 0.011*\"decision\" + 0.010*\"let\" + '\n",
      "  '0.009*\"personal\" + 0.009*\"neutrality\"'),\n",
      " (6,\n",
      "  '0.025*\"respect\" + 0.024*\"open\" + 0.023*\"transparency\" + 0.019*\"value\" + '\n",
      "  '0.015*\"collaboration\" + 0.014*\"integrity\" + 0.014*\"network\" + '\n",
      "  '0.012*\"fairness\" + 0.011*\"openness\" + 0.010*\"community\"')]\n"
     ]
    },
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\"free\", \"freedom\", \"freedom\", \"freedom\", \"freedom_choice\", \"freedom_speech\", \"freedom_speech\", \"friendly\", \"friendly\", \"future\", \"future\", \"future\", \"future\", \"generation\", \"getting_caught\", \"global\", \"globalisation\", \"goal\", \"goal\", \"good\", \"good\", \"good\", \"good\", \"govern\", \"governance\", \"governance\", \"governance\", \"governance_way\", \"great\", \"great\", \"great\", \"ground\", \"happen\", \"happen\", \"hard_evaluate\", \"healthy\", \"hold\", \"hold\", \"holder\", \"honest\", \"honest\", \"honesty\", \"http\", \"human\", \"human\", \"human\", \"human\", \"human\", \"human_society\", \"humility\", \"humility\", \"idea\", \"idea\", \"idea\", \"idea\", \"idea\", \"ideal\", \"ideal\", \"identity\", \"ideological\", \"ideology\", \"immutability\", \"immutability\", \"impact\", \"impact\", \"implementation\", \"important\", \"important\", \"improve\", \"improve_tech\", \"improvement\", \"include\", \"inclusion\", \"inclusion\", \"inclusion\", \"inclusive\", \"inclusive\", \"inclusive\", \"inclusivity\", \"inclusivity\", \"inclusivity\", \"inclusivity\", \"increase\", \"individual\", \"individual\", \"individual\", \"information\", \"infrastructure\", \"infrastructure\", \"infrastructure\", \"innovation\", \"innovation\", \"integrity\", \"integrity\", \"interest\", \"interest\", \"issue\", \"justice\", \"justice\", \"kind\", \"language\", \"law\", \"lead\", \"learn\", \"ledger\", \"legal_consult\", \"let\", \"level\", \"life\", \"life\", \"like_outsider\", \"long\", \"long_term\", \"long_term\", \"maintain\", \"maintain\", \"make\", \"make\", \"mean\", \"mean\", \"member\", \"merit\", \"merit\", \"mistake\", \"model\", \"need\", \"need\", \"need\", \"network\", \"network\", \"neutrality\", \"new\", \"new\", \"non\", \"non\", \"non\", \"not\", \"onchain\", \"open\", \"open\", \"open\", \"open_access\", \"open_mindedness\", \"openness\", \"openness\", \"openness\", \"openness\", \"opportunity\", \"participation\", \"participation\", \"party\", \"peer\", \"people\", \"people\", \"people\", \"people\", \"people\", \"perfect\", \"permissionless\", \"person\", \"personal\", \"place\", \"place\", \"platform\", \"platform\", \"platform\", \"platform\", \"pluralism\", \"point\", \"point\", \"politic\", \"possible\", \"possible\", \"possible\", \"potential\", \"power\", \"power\", \"power\", \"pragmatism\", \"pragmatism\", \"privacy\", \"privacy\", \"private\", \"process\", \"process\", \"produce\", \"program\", \"project\", \"property\", \"quickly\", \"radical\", \"radical\", \"radical\", \"radical\", \"remain\", \"reputation\", \"reserch\", \"respect\", \"right\", \"right\", \"right\", \"rigor\", \"rule\", \"run\", \"say\", \"science\", \"section\", \"seek\", \"self\", \"self\", \"self\", \"sense\", \"shape\", \"shared_history\", \"short\", \"shouldn\", \"simply\", \"social\", \"social\", \"social\", \"social_impact\", \"social_inclusion\", \"social_political\", \"software\", \"solution\", \"solution\", \"sovereignty\", \"srf\", \"stability\", \"stake\", \"state\", \"strong\", \"stupid\", \"success\", \"sure\", \"system\", \"system\", \"system\", \"tech\", \"technical_excellence\", \"technological\", \"technology\", \"technology\", \"technology\", \"technology\", \"tell\", \"term\", \"thing\", \"think\", \"think\", \"think\", \"think\", \"thought\", \"time\", \"traditional\", \"transparency\", \"transparency\", \"transparency\", \"transparency\", \"transparent\", \"trust\", \"trust\", \"trust\", \"trust_relationship\", \"trust_work\", \"ultimate\", \"user\", \"value\", \"value\", \"value\", \"value\", \"value\", \"values_feel\", \"ve\", \"view\", \"violence\", \"virtue\", \"voting\", \"want\", \"want\", \"want\", \"way\", \"way\", \"wiki\", \"willing\", \"win\", \"win\", \"work\", \"work\", \"work\", \"work\", \"world\", \"world\", \"worth\", \"wouldn\", \"year\"]}, \"R\": 30, \"lambda.step\": 0.01, \"plot.opts\": {\"xlab\": \"PC1\", \"ylab\": \"PC2\"}, 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      "text/plain": [
       "PreparedData(topic_coordinates=            Freq  cluster  topics         x         y\n",
       "topic                                                \n",
       "4      17.294538        1       1 -0.176109  0.016940\n",
       "3      15.839134        1       2  0.055655 -0.045967\n",
       "0      15.790629        1       3  0.047321 -0.164173\n",
       "1      15.341956        1       4  0.046913  0.015462\n",
       "2      13.000095        1       5  0.099236  0.140520\n",
       "6      11.494294        1       6 -0.039287  0.018786\n",
       "5      11.239353        1       7 -0.033729  0.018431, topic_info=     Category       Freq                   Term      Total  loglift  logprob\n",
       "term                                                                        \n",
       "112   Default  14.000000                freedom  14.000000  30.0000  30.0000\n",
       "11    Default   8.000000                  thing   8.000000  29.0000  29.0000\n",
       "271   Default   6.000000                respect   6.000000  28.0000  28.0000\n",
       "158   Default  10.000000                   open  10.000000  27.0000  27.0000\n",
       "0     Default  12.000000           transparency  12.000000  26.0000  26.0000\n",
       "13    Default  14.000000               openness  14.000000  25.0000  25.0000\n",
       "65    Default  13.000000                   good  13.000000  24.0000  24.0000\n",
       "254   Default  10.000000                  world  10.000000  23.0000  23.0000\n",
       "209   Default   5.000000             discussion   5.000000  22.0000  22.0000\n",
       "71    Default  15.000000             technology  15.000000  21.0000  21.0000\n",
       "202   Default   5.000000                shouldn   5.000000  20.0000  20.0000\n",
       "36    Default  11.000000             blockchain  11.000000  19.0000  19.0000\n",
       "253   Default   7.000000                 create   7.000000  18.0000  18.0000\n",
       "81    Default   9.000000                 system   9.000000  17.0000  17.0000\n",
       "216   Default   6.000000               equality   6.000000  16.0000  16.0000\n",
       "258   Default   4.000000                   long   4.000000  15.0000  15.0000\n",
       "1     Default   7.000000          collaboration   7.000000  14.0000  14.0000\n",
       "146   Default   6.000000                    don   6.000000  13.0000  13.0000\n",
       "47    Default  15.000000                  value  15.000000  12.0000  12.0000\n",
       "37    Default   5.000000           immutability   5.000000  11.0000  11.0000\n",
       "399   Default   5.000000              integrity   5.000000  10.0000  10.0000\n",
       "44    Default   5.000000                network   5.000000   9.0000   9.0000\n",
       "38    Default   8.000000                   need   8.000000   8.0000   8.0000\n",
       "410   Default   5.000000                   user   5.000000   7.0000   7.0000\n",
       "134   Default  22.000000              community  22.000000   6.0000   6.0000\n",
       "113   Default   6.000000                   self   6.000000   5.0000   5.0000\n",
       "587   Default   3.000000               property   3.000000   4.0000   4.0000\n",
       "128   Default   9.000000             individual   9.000000   3.0000   3.0000\n",
       "274   Default   6.000000               possible   6.000000   2.0000   2.0000\n",
       "234   Default   5.000000                    new   5.000000   1.0000   1.0000\n",
       "...       ...        ...                    ...        ...      ...      ...\n",
       "366    Topic7   1.891411             censorship   2.472659   1.9178  -4.8759\n",
       "513    Topic7   1.884462  censorship_resistance   2.473227   1.9139  -4.8795\n",
       "304    Topic7   3.170271                    end   4.297876   1.8814  -4.3594\n",
       "885    Topic7   2.454994                    let   3.378520   1.8664  -4.6151\n",
       "358    Topic7   1.439485   censorship_resistant   2.019517   1.8472  -5.1489\n",
       "311    Topic7   1.439473                 person   2.019517   1.8472  -5.1489\n",
       "16     Topic7   1.439410               evidence   2.019516   1.8471  -5.1490\n",
       "15     Topic7   1.439410            ideological   2.019516   1.8471  -5.1490\n",
       "625    Topic7   1.437920                diverse   2.019686   1.8460  -5.1500\n",
       "17     Topic7   1.437643                  drive   2.019519   1.8459  -5.1502\n",
       "365    Topic7   1.437616           cryptokittie   2.019510   1.8459  -5.1502\n",
       "363    Topic7   1.437616                    app   2.019510   1.8459  -5.1502\n",
       "588    Topic7   1.437605                   term   2.019711   1.8458  -5.1502\n",
       "442    Topic7   1.437605                 wouldn   2.019711   1.8458  -5.1502\n",
       "118    Topic7   1.436706               increase   2.019861   1.8451  -5.1508\n",
       "32     Topic7   1.434637                 remain   2.019488   1.8438  -5.1523\n",
       "342    Topic7   1.432095            improvement   2.019965   1.8418  -5.1540\n",
       "317    Topic7   1.431163                  issue   2.020298   1.8410  -5.1547\n",
       "321    Topic7   1.430967                   feel   2.020317   1.8408  -5.1548\n",
       "113    Topic7   3.247191                   self   6.824632   1.4430  -4.3354\n",
       "615    Topic7   2.331600              ecosystem   4.392695   1.5524  -4.6666\n",
       "122    Topic7   2.665529               decision   5.810002   1.4066  -4.5328\n",
       "375    Topic7   2.022513          decentralized   3.938064   1.5194  -4.8088\n",
       "134    Topic7   3.896527              community  22.231150   0.4443  -4.1531\n",
       "305    Topic7   1.892413              inclusive   4.745179   1.2665  -4.8753\n",
       "47     Topic7   2.238853                  value  15.142083   0.2742  -4.7072\n",
       "387    Topic7   1.649553                  great   3.846582   1.3391  -5.0127\n",
       "124    Topic7   1.500227               solution   3.455928   1.3513  -5.1076\n",
       "161    Topic7   1.450543                radical   4.971118   0.9540  -5.1412\n",
       "31     Topic7   1.446942               platform   7.619203   0.5245  -5.1437\n",
       "\n",
       "[361 rows x 6 columns], token_table=      Topic      Freq                  Term\n",
       "term                                       \n",
       "52        3  0.458268               ability\n",
       "52        6  0.458268               ability\n",
       "705       3  0.946925                  able\n",
       "776       1  0.759295                 abuse\n",
       "597       1  0.930467                   act\n",
       "429       2  0.504768              agnostic\n",
       "429       5  0.252384              agnostic\n",
       "493       4  0.935695                 allow\n",
       "283       4  0.551434           alternative\n",
       "283       7  0.275717           alternative\n",
       "326       7  0.686106              ambition\n",
       "363       7  0.495170                   app\n",
       "344       5  0.690295           application\n",
       "425       5  0.497729                 argue\n",
       "291       2  0.943081          authenticity\n",
       "734       3  0.614289            automation\n",
       "733       3  0.614289              autonomy\n",
       "795       6  0.643559                 avoid\n",
       "599       1  0.755805             awareness\n",
       "802       6  0.820906  background_primarily\n",
       "310       7  0.890834                  base\n",
       "335       4  0.334596               believe\n",
       "335       6  0.669192               believe\n",
       "519       3  0.609866               benefit\n",
       "771       2  0.843144                better\n",
       "324       1  0.837313                   big\n",
       "324       7  0.279104                   big\n",
       "290       2  0.204665               bitcoin\n",
       "290       4  0.204665               bitcoin\n",
       "290       5  0.409330               bitcoin\n",
       "...     ...       ...                   ...\n",
       "410       2  0.799007                  user\n",
       "47        1  0.198123                 value\n",
       "47        2  0.198123                 value\n",
       "47        3  0.132082                 value\n",
       "47        6  0.330206                 value\n",
       "47        7  0.132082                 value\n",
       "806       6  0.820906           values_feel\n",
       "755       2  0.843619                    ve\n",
       "456       2  0.943110                  view\n",
       "173       4  0.911190              violence\n",
       "270       6  0.499855                virtue\n",
       "1009      5  0.641201                voting\n",
       "87        1  0.621944                  want\n",
       "87        2  0.155486                  want\n",
       "87        5  0.155486                  want\n",
       "218       2  0.271665                   way\n",
       "218       4  0.543329                   way\n",
       "180       2  0.607764                  wiki\n",
       "105       2  0.969257               willing\n",
       "285       3  0.488692                   win\n",
       "285       4  0.244346                   win\n",
       "287       1  0.301820                  work\n",
       "287       2  0.150910                  work\n",
       "287       4  0.452730                  work\n",
       "287       5  0.150910                  work\n",
       "254       1  0.574626                 world\n",
       "254       2  0.383084                 world\n",
       "338       6  0.639022                 worth\n",
       "442       7  0.495120                wouldn\n",
       "809       6  0.820906                  year\n",
       "\n",
       "[450 rows x 3 columns], R=30, lambda_step=0.01, plot_opts={'xlab': 'PC1', 'ylab': 'PC2'}, topic_order=[5, 4, 1, 2, 3, 7, 6])"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pprint.pprint(lda_model.print_topics())\n",
    "vis = pyLDAvis.gensim.prepare(lda_model, corpus, id2word)\n",
    "vis # Interactive vizualization, doesn't work on Github"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The \"productionized\" topic modelling with n-grams analysis shows new insights.\n",
    "\n",
    "Note that further tuning needs to be done as n-gram combinations like 'community_driven' do not count in 'community' anymore."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:11.950583Z",
     "start_time": "2018-06-02T13:43:11.945693Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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dz6JtZX00Er0jziDlh8/Rk+z7Ygay863cNu5tjX270tHI0kinFaEq96VrXhQwH+9s7IP1wzWGfOemZDyrjDZbgm+P7YZbqRVQzsLYeE65dkuQNOZxhP8Ugx92jYMbfcDsVvk6txqI9F190NrGAFVVopXy/mW3bIh8cSH2xYeitTImVHRkC4b4vYmnx7XBucQBQMPKYm1Po7u8LdtTnc8xASZgh0A5XjVar5kbNMv7YB48unaFVScUXS552JSgWy/ysLFT4m1xSiMrinJx4CzQ7QnTjPXbQkYt+0rsS90WulWHEPpy2mt1yHAHlfH444+jqKgIFy5cuIOkZlGZQO0jICZDFBYWokWLFg7PjBTx69qa2XeXIrx9Hps0I7HhlDhcv0ykGzRH1byXOuO+dt6o14Rcyes2xAMdGlZrtepOi9k25Gr5F5P5z7mZD8LXhSOZDIN64WYqauTXLCTMX4iYTWnw6h2CkWPGIqSXp3VZy4mbuyMB40bFSLOavIKmIXr6WLT+JRndJ6ZK+fUckYBvN4yFB5WrO5aKmPlLkZxO5s5hgRj75kj4PK68mZOraOrqGCxNIR3cSOYxXrbdNsnyo3ZwXRrK7s+u9SlE/p8KysX6uX9DFOkneIyNjUb4az6SC2zRvmQkfO8C35aFiJHk9kL48gWYPKirlOfJnclI1ftg2rCukvzW9PMRRqPSIqQsW0ee+qPQnWwIpq0Ehz9KAaLSMP65dlJwj9FxWLEqERO25ZAxsocp6h2yV95aMerHths1cIEToRE14vLnjhg0YBii/3UR1/5wwsGV4cjwDIVfaQaee202lmb8F8MeLcCWxe9hzNJNlMIL4xbMwYzRPeH8SwZeD0lEaPIH6PknBdKVLMwOjEX3NR+i+3/TsC63G5a2l8GfydyC91aswKbd1HY69MO7UdMR+nxrSqjH7rgxWFsyDB/O7GNsMxlxryOjXQymB7YA/peFxKVL8E7CdkmGfuGhiHl7GFqQHmbbfeR6fp8cQjPcaWsB90YmffWnM7Bk2UrEbxQzRPsgYsF4jB/ZU3a7Pr0br4/chO5DO+LbqPkQJfUZTrrOHAevh+jAqRBpKzbDa0FHZf1ZHTLWrMTsqHjpuuozPALjJ01Bz1swVtqrQ+257RG9kdrzAs1eJLmEaNI6FE7ymkF0LOk5j/T8jPQUrP9GrJ8l1qJ+QifRhb0Ic0Z3k9IWHdyESZHbMWzZ2/h2fiQEmcLZr2J3hzC8r6kPKTJBla9kJ9QTZdKaJo3uo3IFdzq0Xcd07j/xeOeTEvh5l+Cdv62i2F4YNm0Kpof3k2dl/5aFdRsKMH1xG7hR3rrcDKxcOJt0EO2F6ip0PKYMp3YnCVLxP1p+1lJn/P1VCh6Gr1aHmRnlm9Ig0furjuKvKUX47YZgLFKbWAudo2eOwfZjpNFLEZhDOvX0lKWUdFiltjcv9Bs7DNOnkaGTBgOKMhMx9esWmP5CCeY/+zrw3lf4YLi4HpStOtuy7iQS48jIrVxfw8InYPLbA8peX6ps/MsEmED1E3DAq0brNdM6NxX9BpAPCXmujLUym1+ffwADX1lPHja7Kjwb/Za9aipITyury7aeGEiD25Jn0M0+EKj8ytZBy/5WPJYqiOaOiV4eb3057fWOUbSaBBVf2a1NX9qtJqxcDBOodAKNGzemgcGDkjHS0cxF/I4dO0rvdY6mudPj3aRjXVWo3RBN/YPQPJj++Xs7uJZkxeV4+BmljH694GrDpbziuTqWwrm+MOxlIWLaUqTuy0LRr2KeIOARMA0FyWPlF3PdQQxt70eGSBfEr0tEyJ8o/is9EbMjT4pr9qecuLlbI9CTDHpuk+KxeUM83LYtxMAe7+FSIzcEKhkFdmgqGRN0369Hmz6hSK4fiEQyTrY+QnF92iD1tJBRj5RpbRA6JxleASMxsmseQl8ZB2FKrPBGneqINj3JEAnEb9iMpDgfJMwYiDbTUqWZV7pf0pAwZxwGjkrBSDq/apIblk7sh1GbyDBBMXK3LsTSD05KcW3pVySMujcKkbBoKcZ9U2guYulpbPkcCG7XTBPugsbC1rs/27aBVRP7dtsVIy92/0lWFCdaYsE83snjgo0eTvdcx9nDmzB/6HOSIbJjn/Fo2fgCEv78BBkij2Juwmosi2qJVVH90Xfld7iHbq76Y9uxKv2UsdwL39HxMSe0bF4Pv53PwKbkXFwnuS7sfQ9PvDwGm/AMVq9ZjSmPbcc7Q/+K6B1npbS/HdyO3cd+M+ZzD8lyPpXCiq9T2CUktHmODCVOWLbhY6xe+Ay2Lw3HE1GpmvjmOkkcVH1VLhcy8edu/ckQ6YRFpMuiyfUQT7o8FiPnc/2P38igtJ2Mi/PRZumH+HjNXBRtnI3n2oTj1HWR/3VkfLYKuZJM9yAz9jH0J0Nkp5jV+GfyatTbGI/+3V7HsUtWZFFloF97m936u0eygmH1nq+xiCZFvj4qAZfUfIWu9E9KX5yJvkLPn9yxjFjPEKwH/hUJhy7hngc64aWe7lSHfZF8gtheP4a3XgjH7i6D8bzbVWr/ndCRBHSq3wZPtnSxy1eWRimT5Civjq+TsXH3Z2SQ/FuuXI8xnbBp4etoPzVFaiPXrxZh08ZUFBmI34U0PNaDdPisE1YnU50HUV1N7o/X1x6zK9PNs72E3ExKPTYIbeuWrb+2Q+bh108mwF2c07C+tE9u13ld5lK7XoaWpF//Hn2RWUzxLh3Dm0KH/DayDqLdJryD6K3y9fIbzYbfvnAI/kqGyO1efnimxYO2davKtvzHBSx47K90feXRNf4xPk54EZuWjsETryWb2pfazix+7fHmc0yACVQuAa1XTcHuJCQlF+DM4c2SB4rwqtGJ4jReM85tQ3D08FGMamvdYucseUu4KQNMFZNV9qrZLZdZsaQ3FVsrq+ewE/h2/4kKG1AtC650HTTsLcviY/LEkTyxbLeZ8tqrfYZ6HNyRCZ3o99NWdDoXuaeLpHcE0b89uPOgsi+f579MgAkwgeoi0KZNG1y9ehU5OTlSkerkCFu/Ip6IL9LVps3+G3JtIlENunr0j0bi1EBkbVqI0AF+6NieZm+5+yFifjJypd4kkJnYj4x8Y/HtOTJEBgRiZNwubKYJTQlknFOiGCW1G5fWgEsemwwErcK66SHw8Q/Bui/jKe1SfH9/IKIThCN1IKZNDSYjaBHWPx9Fk4MSUbAmHIH+wTSifhRiBbXQrQeA/N0YR8bDsQkZiI8IQUhEIjKWi/QV34poZiNJhaSjSQjx96EZmNE0M5NK2hRKhk+RnzwTc9WX26XzwdPXYdUwIC1yPXJFZ4NmFsGN5mLZ0S/zLMUh19LN2Udx4jWNSysFi3mBrehvys8XpSP5jwu8gwJIz3qasDtnV9zU7P8TbrzbMOvtWMTPpX9xsXir14N4ecEu4LXhaOuizvoC1nz1M/Z8Og/tTm7ALEr1yQ97MGHIIAyfugFH1k7A0egVyL2vEyaMo9kJ4bvwm1T2NWRsWEJ5jUanBmpe9eB04zzWBMfSNMPF+JnyHDRwEGZ+8DPWvAysHJGIPDHbTFp/1kJ+mlDZVMxAu5aHvSRDx+lhGB7kj0Fj5uHER3Mx4S+NytFXrjuVScb7VCD8sPPUJxhNuoyevQF7lg6ni+o1bD8tly1SzPzXCcx87UX4D5yAnV+toZBNNJszzzg65SJ0JUPry+/RZbV0D5ZPGoRefQdhw4nPKO4u5J6/ZlcuUYatTZXV1q9I51SvDUZ/QHJlzcKkT3KVsqQz0n7GqpdxFFNwYu9yDCfWkR8UY8NrwKxFu3GNZO8+aQXm0uUw6ekReGv4syTxcHyzaBDNku2FSJoZSfNQMXHGPEx4rRckXW22K1OZDtWxZL3siM+Iv1SPk5bjm78T/w1vYFe+4C9fd/WovIz3X6HMg7Dn3HIM6kt1Tu3us8lE9+tcSQd7fIRU1jZbaaTwa0XIoHGOoE4t7dadnIfIneSldp34ErXrcZ9gz/9NoHY9HBvOfwO6OrAyleQ8n0tsSYcPqM0LHcbMwjLpNiS3NScncT0CE9Z+g+K91Cafo9ZulzWVqpyvzLZ8PnMN6KrFsr076Rr3h/+QSJxImQLs3oWia6qs1n8lBfgPE2AC1ULAnlcN3BSvGq0kv51E8t+TkfWrEqgjb5vIofAL8cPQ6PXIzBGD2/JcdymG8LCh8+Irnn4hEUjek6vNzbhftG+94lWTBuFVk6cYgHJ3rsdQSivSu4fEIPOUZW/VmAX0+QeNZYn+b0x8ivkHD+3IqjuehvUfpUEMOAsvmlDqF0qDz0r2masisHSn0I02cp1OmR8qy0RyRaxKkwxWtnSQE4m/emSuikECGbhS5hOT0SmyMYu8bVIp3E8w6jMUCzeZDGCmtMqerbi/HsTC0TTo/52Wjw4p0aFYukNmXvRdCmKoniSWNEEgYavJmHYwkbyTdhzEwa1LJTkEPzWdVHIpeTARAyktyRk6PwW5V0zSZZGn1NA+VEd9zN87TDGUvaKDiBkdg5SdtLTUaFkWwS+PvLvUY7/RCciV51NIiYRnVYQkN7WxyKXGNlCWtxW+VturwoB0XPhpptGgWPR9ChaKNqO0vaI9CxF13JW8XIjjaHd0nJGMLSsno4U7eYRdcYZrUQKidhSVUZEDmAATYAJVTUD03Z977jlkZGQgOztbKk6EaTf1WJwX8UR8NUwb727er3M3K3f76eaKQDLkFYzX0UM9D1lZB5G2NQrJy6jztyyXDJDTUCQZzxOQvNqDzHIlcKGB7d3LhCYHkEcPfpMzn95+3N98cZJSTXvT1+jeKEYfC86QEZHyzD2odIZuUKQb9LVeUcQmcpFuRx05KscFRdL6lqAZmeefFA9yXwQHiOmD8uZJMyS9JgqzYsW2wnwh1QJ0NXmqw+NRWasS6VP2Qq5p8DWO6DvD99Voki0TJUJWddPr7Oonork+KBdyqVhNJH5LcJr+BrhrOuIUlpOxgz4dP1Qb8e7b/+9JfK/2gR8LwszQMIQNfYaag9Kj7LMGQe1kY/BFWlNSbGtmjCAzJnDRtRFKPtwohX3zkx6DhywGVpF7b9EE+LmewCf/BOamd5fOG//cuCjV0ZRxL2rWQnVFUASl/edO6LT1aUyk2XHuiNFk9Bw8/yU0ng8MHzcXfv39MfcF01WgiW1jl64T0bgnT0C3h0xROg4MQ8fwjbgo2px0F/RDUHdTo3Ru5weSEjv/p7BRkur/J3dqB/l1NGXm9gzEAsVVvV2lr1rDcyB2xiyH/5tPYu8LxWhrXE+S9BQNm8xLkeEko+4iGlFVbvxQhP0LJ/QD0dHZDRM2f4ZP27wE4a0+d+9i6cMsIgYob7FkslSG8Y4hnbH/x4E6dhE5e03Ekxr+rfsRfxB/ncpfFKPUFRnIO4pBB2V7ZnYxqozuvYAwDRbYWi+auBT9WgI37WfnSefvhWyr1mDSFaED5eF6hrShbftRMsoPRHHBMzj61TasOPgt9s5fQcZJYWJVt4u044dB/SrSjkXaym3L8jU+Ac9oPuzk9txMasuqnPzLBJjA7UBA61UT3t8X3dq1htuDzrJXTYAsofZJpaeH3sL3FyL+1bHo+mAeeaP40SCwF6bFjQX2CM8TkSZQTih52IhB8EDJG0efvlTyxsld9y2iA8TK4KbN+SHZq0Ys8qN61UgeKjTw7TtpFTY/74q0d4aSV00CVmWeQfDj1NnUbmSkW+jdDwlU1iryfHEuyiSD4jgk6FxREONLzyHhOWNb1qKsVCQsK0HwlGC4kBeNWPc8PFb9CCPdH1NoGZ/Xx0oD6WnR3WkQXei0GU2vZGLoxKFILtyME6+W1UErotgvOpyAmDkJtOeFkNlu9ETUYf0LHRFFS3JMi0uEhz4N4yIHYmlukiy3WQZ24s7ygn4bGe1I/wFrguUn7SnK6/1UTPOnyQL5aegYSJ2eoGgkbYlG4Z71iBjbD0X1jyLa3xV5aQlYmC7k8kX08lXw3TkOC0f1hIfEmgbZyYNJTBwIX54EL/0BiW2qXmablUjG6BlUy1PjkdhKh6VjyXNKeu+IlpZp0qqg/zUPCduoHOr8ifgLWqUhag7xm0OxaLmn+FhfRMyIoTW5PVAQFwjJs0pMaKBziRs8cHARtTGfhUjcfwY+VtqMJV/RSTO2V1e1vfpK3lM4mICIiQOhdxUM3KCj46WLshA4niZSIBdRr5xE/BniepyWpNpm+rhlN7hj/b6xiB9C7w/No5BLEzw8+Y1XW828zwSYQBUTEEZFNzc39O3bF2lpaWT3yUK3bt3QrFkz3H///fj999+Rn5+PAwcOSPsinojPxsgqrpjanP3BTUtxshXNLHzaDR5tvaR/gYNGYuyOheROLUYSJxvHqovEGy69xIu/PrEL4EOP3ab04mxtsxqXOhNpFDmwvtboRgEWfUMpP8qX7BbSphPGAfqSk45ComktR5cHvXDxl6XKWc0PGQOFjaeiW14OSdV7gFHPsunJKtDbw+y8i2vTstGKKqCfWerGaEfHh81KIJWFfcDiK/FmyW7jg/JvWkK5IMz7x0a0sdUZo9Hzjn5tpBlxWlXbdHmSunTK9u5yvEjcuv+Z1gms708zwd7GxgN5eLJFhjTLbl5HMWNRxDUf9XFvTGs3akeCXBpJcYyxxA6dl4/1KCRDmRNZbkQa//kXcWI4GXR27cSns2dhxKpZ9H5AMyS/mICmtnQRIkibmNVFO/Svo3tjCxlcJL1MYtF1UkeJL6V1QSOazSbOS/9ENiIv6RrsCHfjDFApMr1EKb/lyqTEs/gx42NxTj2UZaEZjuPXYEL0k3gpehP+1UOwpE3IJm3+6NSe6lG8mdKltPj//GlAowVaitmvIkhXRPP35O1k9hk4dWwjHwg9aU8tQ4li+0eJLH7EZruOpYgUgSJR5mp84VKoBEnpjQqICH+WZ74qJ2S2gq/Frcx4vpwdu2zva4FnXgZGJ+7Fb6+3Md4H1SxPbBmBJ98swN6CvXTrNEovn6brpc1j6tXxJJb/33C4NCUjde52NO4+XIozYfpijN66Bi79R0NPyWVZqHK8XkQbpU7Usuz/Km2T8qi0tiwV6I7GYu1PbeGl1HAE7Jtsy9qseJ8JMIFbJyB51ZzWIXQRedVsWqhkSIaySdR/HB8CT7UDpxZlHKQiw1q67I2yKnO7bByk9cA9IltIRisR3eRhoxilyCPH80F3aamc8IJws3uia1vZqyZ1rE72qgEZrYQHziRacme6j1S6z7+/hXNzMgT+fTeCyVBlvokerRcSDycisJk444OkI0sxNLdQGhLVlSOr3H9V1y8W6bX7dEjjidKQIhk1UzdRSVNHkoeRkMsHR92aYuF3erhY6mDrPtc7GkdpySI3Oq/bt1QyRCbuL0BgK1FuIHwecUPHEUOR+VYB5FWYRbiIu95u3OA4X5oZugUnrwTDiwbdsvZsoVQhCHzSFfqfBZ9wHF1D5YrMnm6N3GWpOFkkwqmSpUG6QOw6kQgvUec0QSBrmx+yftIh+N4DUp2GLM/AtEFi4oAvMqiX3jMyFXnjnSVD5FiNgTnwqdZw9x6KlG/CEf60RQNSmIi84kVepT7IIjmSydPqjGJE9ShcioHHxAfsNJ5VSn0HkteTs3tHybOqIMKizdQRnRPaNHz1p1LkMPqbl6a01y/XIVhMSvAnuuktEPHpATJGUtscthlH+1M9i3cZmqmZ2oEM27Tv/PgonMhWXnGuKPUfRnrVcUXXDqk4cEoPT+MkB2NxvMMEmAATqFICot8vZqu/8sor0uzIffv24dKlS/jjjz+kJZoeeOABtGvXDu3bt0edOnWU94QqFem2y9zWY/i2E/TOF0iPkx8spBFRmh1p8dVsT2VmoKQjGYXQgUYiybVaPGvFJtxRkk83lTpFymNcPmEvbksqh2Kl0hcVQ9oqMxpPp8C9xzjqCBaYZlgqBk7R1fGN+xt9GMY0+1EynlIHzuMhXzobgdyzengpI936XxRXGFkSh/+2fpKkmphJ7j3BxlFKna5QSu8qffKYXoLTqaOmp46aAuDkTnmE2kWRVYr8SGu7+skdXSti1WmE9oOA2K1foWR0O/HKTR2t00j/lPp1q73lYyvJbucgu8YWElw97yTcou+zpolsjHCvZzIaNm7QkiJ2xEthE9Fd6gDT4f++RdyKM2gsDHF1WuKVOR3R892N6NwljprHNrQlo4bYhEFLGJec6Lgx7b29+Vu80cVfBErbgc+W029L+uBMPTT6M+2eFB9FkdNCdxSfiLPCcHUjD2siNqBT9CwMfutJ+jcLZz6fi45D9qLoxkS4W9VFo6/Ig1yA6/0JOPrOp8gL64QWyh1P9/V27KRyBgsDJP0npgBkkc9R2/ZSi6A3igNYTtZ2yYiniCbpJMl5FDv3F+HJvoqRXPctXD38ELk9D7PE57tvYlPryFpS0zmhDwlzX1tM/ZI+uvTsRLz4IaV4uZekp8TSyx8T3xxtbMe6Axuw5kfiLNKVnkBs99EUfx7W/mUvwmh2Za8nCjGoNeks6QXUq0Pu9UZ9rUoj0VJZlF/HlJkT5b8rg2Z2DyYDnJyn7uAuC/5CBNJPtLX5O1H0zpPkqi9v377nCr/YWTipizSGKacc+jHxsxa9Hjr1HQGMIcN65kuY2FMtVcQtxPaV1ErI+N2SvtpTIHEhGandtqSzHXu+golvmWbIfvthHM483Bh5X2+ksxPx7f/mKcb/EhR6jcY2YXwUOkr5CM60TzHtbarscrrKbsvi6pxJs5snwl9tygeWw6PPTGyjl9tnHrInGZ9jAkyg+giU51UTbfPemHcsQepTBhpnKTojcPgC8jbZTeKTKSlHaGHbG0fth6m66skVWNpu0F/aFz4U0YE0cqdudZqidRAd/CIMVRbj33U8EU2GtEwyOi7NyUUWyZZKH0xEkPxgsC+rWoADv1RO4BggedFAuC/yxVhaHsmXjKzxEZKJjz4WqdHB2lsQ9a19A/rI67hTcUVKfzf5owQU0fhfCa25qUtbKgmSS3p2U55rIqC8uCN9xbTUoUg9ooPX03qk0mxFr9nb5f7w48E4sT8LaZvW42RuFrLeT5YnFUglKX96B6K12s0gOUTRwlip/5PQiQzU/p7G2J7DknBmCB0qxr4E8n7yyCefKz2luijqn3yujlNf/mlN/Umh8h8fb2VmLNWpT296Ivqbvr7e1JP68qLu1IkJNjyr9BEUxZK3BV9NkdD9KrUoM++okH8XSOujSvGcXY1fiNfrxcCZstUhl+wHyZhJs0m7vxIF39mbsUAxPrbu7YsDpWrEu/t35syZmDdv3h2pJMteM9XG3Kueu+jDC0Ojl5eXZHQUhkiDwSC9B4g1/++9917l/aC8t4Kql7UmSrinJgqtnWU6oxuNYONYFNrQOjdZtMByUT65au9JwdBnyS2DHrXdHm8In/HTKE4ExiVmouiKDrn0YO04IAIL8zQPXQmgs/24dTwQPEystTgOKd/lQZdPbhDC55XWo+zWhMZY64tOBpX/Pa1TQx23kVNF3J5YT2sF6Wj2VGZiBPpFLpTWBHJu1U3qCIx7cyEyhdzHMzGuD/UwbmLz8KYODDkMjZubgjz6gE/RcXJRCYyhUdJ49GklMhS9rDQaxU2m8zT7kgyRfnPIKjTJZLwUsVCOfsLdZyGNRMRsJf3MNhf0Hj0D+DwME5bvQM7xw0ieOhSJFGfoc5IAZrHvhAPZUKEaOqz9ylrYjSdFMaV19x9MsyCPwu+FmdhL60sV5ezFvJf9MDf+jGRkFHl1epEaTVYc5n4IJA5+0ngjlYwtwtBCRrOJy16kBSJpzcll26hzfRK7Vk9EUOxRdJr7tmS8bNmJzu/6BBu/PIqTOQcQ1y9ImbknZNFjLxl4/Mh4Jslw+ij2ZuxSldGUZ5Jb1lGOohcy0D//sSsoYDk6hq3AgZyTOPrvNfDoN5esSXF4vo1sFBIpwnqQwegI6UrlxIXKcozu3VbKQ5wXedVr8zxiyf4UN2QCNh88KcVd8ZYfnfXHS0/YX8tS5GFrk+W21MN0LNJp4zTq8gY2j1dyuyLH6zWc9MyKhP/0zTj5SxFOZmxGUJ+JmHuyREq7d353otAJ296bhMHvLCFzGencLU5eu5MM1WL7hGbP7s2S18nUlme+L2IqsjlQx/IaiRvQfdgKHKX7R96RbQjrN5PymIVeGv7CcPz8xFgKj8OEOaRDEc3i/PcKMkQS3cX+cFfq01wWWQ4hka3NWnxtWNtBEyUWM8ltet6HuyR2edTe4wa2xly69cQufU0y5lLxohKoXbfECGrXR2f3xMwPyTBOcu79eB78Js3FiRI6LwmyHHszj9KL6UlsnkMGYspnJ80YKhIDAmo+dvQxySdrVRVtuW3ACGoNoDUv5+FALtVL1i5MIEMkOq7Akw/LXE1ymB/LUvFfJsAEqoOAGBhO3ldElj1Xo0dNPH3EJmNdOBWfQF41ZsPUGpH0yJOMjZog2tVdFoYrjQWNjoSHjY7+FRbqJG+c6NgQm944xtwUD5Wmlh44xggWO+SG7N6mOwaSi3Ae9fV8yVgWT0ZDkHFKGEYdldUiV6uHvjHEZ0sipo1xoY8ZRmDgs+TRELJe8jaymsCBwCLqkwpGusJCuPhEY8FsWnLoT8qouUV6m3GbdUV8B1q9fWcWdKcPSMshje3bVUpdtHMh2vTwIxfw3eSW7IkBGxKpxy45OVjkXvawME/0dWl5J/NqhbMwtqoGV3pW6XRCh0LoXHxI/miEdFUMjmWzRImlAc+smSnvJDRJQLWNCs8qqQ1dlD2rFow3GS+tZG8liNrAkTR6H5A/rGmMoNXBGFh2J3O+OxkiM7GZPnKUNI5mZypRXJtaQCmblEOYABNgAlVKQPSnheHxvvvuQ926deFME7DErzgW4eJ8bd3UR1Rt1b9a9fbsvwDbr7iRkS8KfpuiTGX3HovNsdPkkdGnw7ErTgc/Wo8mlWxm0jYsHken+pjiK51It3LiBsbSmj86cpcJ7K6k9cWq3eHyaG9XXxpDpTVWaH0azzO74DPpKFbphmLcK/SlayV2CH08Z1ovMZLshgWZicjyCaWvcdMoO22BY8iwSqO2LuW0IGdykaCur5RG/HGmkd+MDXm0+Pk4dH9fCe4Qjgz6oI7ccZBHdwN/iUD39orBM2gBvpX014u+uLLR6L49/agTRV134xf21FTi191vJlIX5SBwEn05XDkxLyUbIY/fnR0Wl/otSMsziqYO/rh0wtqDmxHWdSCCnlouJ+o4EdtyJppmYDzaC3Fkh4ssnIVn1BmFUkzi2FRO0ub1tdimn4ugt4fhX7PksBFzNyP2LWEGAdr0fRsTO/bEhJd2Ssf+U2LJMDQDuocojzotsDJzE3lYDSMZFkvnhdFvxfaV6GS3qmjqAm1q23RpPwJZn5Vg2EuR6LNVvqg69Y/F2lVvSJ1o1czv/zp9w6mXOkPAH4l7VqKX0IPakqk4V0xMzUAJrdMU6ivLLGQScTvVF6VW3eZu8ZbhH52BESt7YoOyvIDQ88DHOnR7JRTdVspydBq/Alnv9EJJ9gYELaH5ekmb0Oshca4FZn2diOVPhWLKphex+fVOmDj3RQTNoo/37FqBoswRGp2t6KRZ0qC8OqYpGFIGIxp8gp6dlZtax7fpRfFtqZnI/GXCrt0m0gt2CS1bEYqdJK/Y/KckYmWo3F7kkEr+W6cNYvMPoEXUDEROGiitFSqXQPWathKDuqk3HZJR064300zNgZOCyMArbxPJ4P72M/QS9UQs3l67E5Ev9USkONV/FuKmNEXkkgn4ZMpgai2mfJSkdn6qsC27dsd2uq+H0n29T1fl+vKjelldTt3bkZZPMQEmUNkEHPSqsVqsM7x6BdLEf/r4SCm5cyv9tcLjByi28lQThkA73jhWsxWBwlNF9VDJKiQXcNWoRTPBxfrFnZ2NxiARXWy5meTSTdvmEwXwUW6rKVulIPrjgKxqVO2vkENs+pM045J+A+gffeBw/VxaJfOtaeSCHIjwGCp7K61xOHY3zdAfqWquLLsiEpe3iX4prWG4cBq81D4vrXe5dG0RmjakU79q05cTl3odfSLIxDgqBjG/0ChVh2j4thLp6cMuny6l32k4YXSPJ3djCnFRrWoimo2taWvRd0nAgdMmd+S8rdSPHuuKzC/lfk38injylFIzKEIyfTzTtZn6fFPDK/4raRxn3bPKLDe1rswCtQfOkL2nyLVc4z0lPkwzzpXW5yQXd+0mGVrVAPL8GrhMcWGvT7Nyr9D7gvC2IrfwrI+I4pNqRP5lAkyACdQsgdpseLRGXn2sWjvHYZVOwBldh01DwZCxKDpPQ4z0YHYm65qrq3lPw4u+MF3QP5xmRtLDtD6dr286L4x5BQXBRsnsxYWzB8auKcAoGgmlT+GYl+Pmg13nCuR8pFbghuCYXQh8i0ZOS8ndwdWVZDMWQ0ZEesifO0Mfc9CZZI6JN0WwsefRP550MT/p6R9OH9IZSXkJBs7mH4cQC92RcTYxOZjcNYqoe0YuGbRQu7yRATKuAIrUBM+OfjTbM75Ajnnu3DlzAYhFwNtbYJisCb6Dr4TybmotX5xP61NodC2zWw+DUy5hsEW4mAWYRAlLaA1Rsbm4uFjEaIQxlG6MRWjbV5Nw6VU1sB6efZPKD5tPNSvyIbciLetGnTF/3yXMV0fgxbm/TVITo1GnlyQZxDqmog2XEcEY07TT9tWVmvLl8Ja9xyDz0hhFF/N85MGoFzH/vSRseY/KoWbpop3pQbP/BAfjRjJPJb2nCpnF+nqOCGVMbH3HXh3WazOY6s+ydiifep2xkuRS7I5Sxm0DJuFS8STSgeS6V6PnX16jPF4zK7zeX8zzfTac6i3cLIqVA2orGyzbiv06dqKrGP5kUNwwGCut1KOlfp0HTcWl/lOlssXMjFvFa4+tUcEGbTFm+RaMWUzr5dJ9V2yuD5m/pFm26+fDqZ1NWCK1Fwh3ObVdU16zqU3PltoHZaRcNq+9TS1YtKtO2utDKsrmn6puy406DcYWalslV0R7Eawtr3GbovEJJsAEqoWA4lUzVnjVkCPB+EA0dSGD30n6MvMrwttFeNVQH+ln68J4PEXGSIyTvFFWvUXGnKwUaf1Ase6hMABK3jjkfTMu0QMLhnjRB0JS0JPcXMU6kNYeB7JXTabkVeP5hAcCgyj3saFI8aB1INu6IPP9yYg5BsQv7VNGIFf64InYco/lwos+lneQPuA4bhsFdChEId127csqJTX+8WjnQ/tRSPhHJqYFNMXud8SHb0grpbuY9T6t8/hLU2S8GwKPe8mdPCeTzvrAVdznJM8gVQdPY562djx9R9KpgfAbu57yC4YrfX18oc9AKm8aQuRHlTGpI3HdegWTaZNc40n3kHWBysxC6nf/SWRD7tmnimg9yUKkzPaTjJG+Z8Wamqqx11iU2Y5zS3LRppCICe+hNa056fFbGkLFep5jkvA4rVE/TZx7NoI+dkMG1Yb05elFNPFgExmGw6zVslnW9g+ory08qwYKz6pHMhDc2RVZmxdiIHk3hX8sJFI9sVTe9vXw7Gpqr4nUXnV7xIdpyKdrg2xQzaM19ruP0iPjTDQ8W3ZD4LFkFIp+Anne0MJU8GvjLpUp/iz48gxGti1B3jEvmzNYjZF5hwkwASbABGqEgPr6VCOF19pCabagW7NytCcjpFv9cuKop8uJ6ywMi2pc7a+V2nemL1C7aeNo92lNFvGVp0rZxLovthgUlQjzhfFr2OWVZ1O/8hJa0b+8JLfjeYeMLbcgeL169W4htZL0PrKd0X82NzpvdyMZ7KS2m1R70pouTk5kiKGZo3rhQutC5ZQni5qhiEfrB1bGVql1KFhXklwV0k2Ua6WWyNuefJTpmiarr4uj9ajUgcN1YUfQCrEl+RpVpL0TZ5sySu3DJFi9BpXTVtQcK7MtV7Zsqoz8ywSYwK0TcMSrRtxm1ZEPZzK4SUfUx5G8UdaRN8qocej5vhweMswXyZtosIXiledhI6cw/XWz8KoJXkrrAV/pqfHAoU+wrMtASIeyvU63XiEI75CAqAGKB07vcMTPDkHEnBh0T/RBwTjynLEjq0kK0qttMFYNoyV/yIsoWUxBDxpL5tUEOQot4zPt42gkk1G157YoY7IFHyfJX4620MFyXUwpgVb8B+kDOP9ZhaHPE0NjfiHYni17GmnZo5y4Ut71vTBqDC1I9L4vfdDSZJzzGU4fpnmfPJB8xHxImos5aQGiSccYWvtynf9JeJiPj0lxpCDxrkBGwQX7N0PXYyD69RAzLGnrPQ27IsgATVv40e3QdexHecuzU0VY/H9OwMdKl17bfkQ846ZlIkbZlLT2Pasomhnv7XJ2mrzMymsVjG8/LiR3a5P3lO+kRIT3lgvT6yWfJzkP0jl8aiZ9NbuIPm5DEz0KhMnVfNN/vw4LxQQPWk+SNybABJgAE7j9CDjRApqG20+sO1+iQlpThreKE8jbQZ3SrV7GL/ZVPIeyKcTMyCeeeKLsiTso5LvvvkPz5s3LSLx//374+fmVCeeAChD4738wfrkO8xcOVmYoVCBtBaLu2rULPXr0KJPibq/Dwh3L8L6uF2a/2qmM7pUVUFvZluFXw225jDwccEsEmjZV1gW4pVw48e1KoML9RPoQiD2vGrt60hrkkreNqxssnHHkZOp5C28cq3mKWd9i0wzo6mg9Qv0NMhI2pPzLGUgXccWaO0avID2Z88hLxpifKouFrLLbsQ67zpDRTjFm6clbp4S8AIx5yZLJfynfIvIMAsnl2sRNXj9RPW9FB/WUzd9Syk/rHWQzIp2oSFxtPpROR2WgvomjnvSQXI618Wzti/RipjsZC60xkepJfOylIU1S0NSfrewqEq4nbyZrnlVSHhXlTTrrhFcOTd6w255offiIF1IxTSxBVUZYPZJDxsEjIdG4LECZKHdZAH+MpGYqlLkz95ohQKtH3QX9xEp+FNVUVXC5dwsBjwAawRRr/vDmMIEKzfxyONdaFLH5C1j1bs3qezfXoXvgW4iuQbx3M9syWG+DtlxGJg5gAkygcgg44lVjq6RyPGhQ3nltvlbeHFwr4DVTJq52TSBRjhVZdPSxw/Wfill9YyVXa1Uc5wdteP6ICJSvTW8eKzqoedr8rYh3UEXiagsUhkILlg4bIkU+Ir1Va7NciGXe2qJvdd++Z1UFc6e6c7VsF9ayEEsykSHS+uaMkGR1ZXjrMTiUCTABJsAEapYAf027Zvlz6UyACTABJsAEmAATYAJMgAnYIFCUlYyEdCD645Gyq7WNeBzMBJgAE2ACTIAJ3DkEbmZs8M7RjiVlArWAQK2a+XWX1ifXYdVVLLOtOracMxNgAkygOgh4DkpEwaDqKInLYAJMgAkwASbABKqLABsjq4s0l8MEqogAG1uqCGw1Zst1WHWwmW3VseWcmQATYAK3FQFdLtLSs+Dq5Yuuj1v54ktlCmu51mVl5s15MQEmwASYABOoBQT4AzZVVMkVXpi8iuTgbAHxAZu7YbP1AZu7QbfaooOtD9jUFv2rUk9mW5V0y+ZtjXfZWBxyKwTuhoXJb0X/uz0t9xMrv4b1p1LQwmccZeyF7Sd2oWtV2SP1WfBr4YeQL89gZFvNp6ErXyXOkQkwASbABJiAVQJ3Qz+RZ0ZarVoOvJsIWDPi3S36sUHgzq9JrsOqq0NmW3VsOWcmwASYwO1GwPnxYBSc8UQoGQoTduYicZBn5YqoK0LWsQNI/WApsihnNkNWLl7OjQkwASbABGoXATZG1q76Zm2ZABNgAkyACTABJsAEmMDdScDZC+GxXvCbuAVF/afBrRLfdHK3TYZfZNrdyY21YgJMgAkwASZQzQT4a9rVDJyLYwJMgAkwASbABJgAE2ACTKAqCOhwME3MW1yK1B90lVqA57AkFBQU4Mzu+ErNlzNjAhUhkLz8bwgb+iKCXo3AF0dPW026f8dGvBkyBC++HIb3U/ZYjVMTgY7IvuvjeLz6Qg/0eOFFTJ6/BrqSkpoQtUyZjsiuJkpePBb+I+eqhzX+64jsPx74HBEjg/ACcX9r7hr8JtbFvQ02R2TfnbQEoS+9gBdeCkX8BztuA6lNIpzctwFj3lltCuA9MwJsjDTDwQdMgAkwASbABJgAE2ACTIAJ3JEETqUhKl2WPGpjpk0V9KeS4e7ubuOfH7LsvYe7uNjMl08wgaokkPnRO4iI/TuaPfUSej34FV71X4hTV8wb64VTqeg/6m0Uez6FoB4uiB73CjZ+bd1oWZWyWubtiOw5+z7A8LcWofmLbyM6LADfLZuFMUu3WmZV7ceOyK4KdezLdYhYshVHLzSAec2oMar31xHZdb8exsygkTj1yMt4Z/IrOLxyFiZ9+HX1CmqlNEdk//Hrv2PYlMXwfPkNvNGvBRZNG4W/f3ncSm7VG5R/7iSSPliJNfOn4rPM4tuiLVQvAcdKq0TnBccK5FhMgAkwASbABJgAE2ACTIAJMIHKJpD5CX3ApkM0NkfoMXBUKDKnF8DnwbKlODfrg80fby57QrwZlbrA496ypziECdQ0gX3LPsSgdz/B3NeeQWlpf1za0h6bMyZg2gteRtG+/GgVMGAxPo4ZLoU1/HUz3tp5GMOfamWMU/07ejgi+8HP/w48Ow2LxwVLItY9uwshaQWSIafm1mh1THYhsO5/p7BkyHR06N4BxwzVT7lsiY7JfiDpPXzRbRpOR4Xg999/x6K1BmRdvVE2u2oNcUz2c8ePAY9HYdrIYBgM/XHuw1XI+vEXakdtq1Vay8J0J/bjk39sR8EROtOtruVpPlYIsDGSmwITYAJMgAkwASbABJgAE2ACdzaBK1lIWAYELg+Ej78evliIhB1Z8BlmMtQYFazvBp+n3YyHZXb4DakMEg6oeQJXaYLjI43rS4LUqVMfjR4DzhZdMhPs+m/f4fFHxhrD7nfrRpEuG49rYufatd/giOyB4/8Bn9IHJBGLz6yVIxsAAEAASURBVJ9EZso+PPbcoBr9WJSjst+4cQNrJ/vg81fnYVu/Swgaeq0mUJuV6ajsV6/9DhxYh+DnFuLwz0Crfm9h47tBZnlV94Gjsj/avS/+PC0U/q+dxBMNzmL9qS5I9u1c3eKWKa+t72v4jP79Z8lAvJZS5jQHKATYTZubAhNgAkyACTABJsAEmAATYAJ3NIGiPSkQn5cZ6esB1PHE2DFAWmQKiqxopT9ObtrNyU3b6r9y3LSt5MdBTKA6CPxAhdxbx2Qpd6JZv3m/ao2RehSQh2pjg2lanpOTE/BfbZzqkNS8jD+uFaJ82YEHm7WEx58aYfeHi9DO6xmsejQS/3inv3lm1XzkqOz/Wf0WFu8chiOxIah7teYNkQKTo7LLSJsjZMEO7N29FQP/93/wmf9ZNZM2L85R2f+bm43/UtIO7TzRvDlZ53EIB7/PM8+sBo+usYO2Xfqmu5ndaHySCTABJsAEmAATYAJMgAkwASZwOxLQYcuoBCBoFbopbtndBtGHZt6PQFSiL1aF+pjNrnJupbhpW3sTKnVlN+3bsYpZJnQjW0tJaamRxPVioPOjDxmPQa28tU93bLlmmm/kdP1XPO7VQhOn+nddGng6IDutkFCSj/gh3oj/uh/i1v8Tw/o+Vf3CWpTomOx6HImRl33o/+gm0ARWaWvR8yzOZKwwu/dYZF+lh47JTiJcKwBGjMfw57pI8nTxewFIyq9R93hHZc/65xI8+ub/IX7aK5LsTQwnMOmz7zD1pZqfHVmllXuXZG66U90lCrEaTIAJMAEmwASYABNgAkyACdQiAqfTEEPqRr/pa3zxd+4wAKtodmTqjASctPyShDO5affyIVdtK/96ecHVmpFSwemsrCfpUovwsqq3B4E/ewPLN2VKRqLju9djySnAu3VLXPv9PHb/czfO/34NDR9qiVMrtyL74nVcLvoem987hR6PaQ2WNaGLMxyRfe/at8gQGYJ/H1yIQc94Q6fTQXelJuTVlumI7E4Y+fXX+GrvV0j66iv839+GUAavYtfGGcb7kTbH6tt3RPZreLCVD7BhL7LO/44bN37H91//G48//5c7QvYmj3jip6yz+LWkFNevX0HRz4eA5vdXH2Iu6ZYI2HnU3lK+nJgJMAEmwASYABNgAkyACTABJlD1BFoFo6Ag2KIcZwTHFNA/i+BbPbRa1q1myumZQPkEXoz5N7L+8gJauC+QIo9avBmBbR/G2R93Y9ibw7Bp3wE8+/oCzD32PHq3fUSK89jwhVgXUvMzDB2R/UTuRZJ5L17ommyC0XowzuxdVqOGMUdk7/NYS6PMvzRuDHQEWrdsZgyrqR1HZH924CzMOjAQfl6PymJ2CkHqYjJQ1vDmiOzPvPEeQof0Q/uWcbK0zZ/HR8nP1rDkpuL1YpZyfZ0pgPfMCDgZaDML4YNKIVBYWFgp+XAmTIAJMAEmwASYQO0j0LRp09qndC3SmPuJtaiyWVUmUIkErl27hoPfHMTDf26F1o/Kxi4RVlRUBDc3N9StWxd//PEHsg8fRinuh1fn1rj3XmU6byXKcTNZlSf7r7/+Sl8JN7mhizKEPkKvmt7Kk13IqW5iRqder78t5BYyOSL79evXcfL7H/DrVT26dOmA+vXlDyWpOtXUryOyl5SUSO399+s30LlLZzRo0KCmxC1TrmgLQr6q6NNVRZ5lFKjiADZGVhFg7mRWEVjOlgkwASbABJhALSBwN3Qya0E13bSK3E+8aXSckAkwASbABJhArSdwN/QTec3IWt+MGQATYAJMgAkwASbABJgAE2ACTIAJMAEmwASYABOoHgJsjKwezlwKE2ACTIAJMAEmwASYABNgAkyACTABJsAEmAATqPUE2BhZ65sAA2ACTIAJMAEmwASYABNgAkyACTABJsAEmAATYALVQ4CNkdXDmUthAkyACTABJsAEmAATYAJMgAkwASbABJgAE2ACtZ4AGyNrfRNgAEyACTABJsAEmAATYAJMgAkwASbABJgAE2ACTKB6CLAxsno4cylMgAkwASbABJgAE2ACTIAJMAEmwASYABNgAkyg1hNgY2StbwIMgAkwASbABJgAE2ACTIAJMAEmwASYABNgAkyACVQPAScDbdVTFJfCBJgAE2ACTIAJMAEmwASYABNgAkyACTABJsAEmEBtJsAzI2tz7bPuTIAJMAEmwASYABNgAkyACTABJsAEmAATYAJMoBoJsDGyGmFzUUyACTABJsAEmAATYAJMgAkwASbABJgAE2ACTKA2E2BjZG2ufdadCTABJsAEmAATYAJMgAkwASbABJgAE2ACTIAJVCMBNkZWI2wuigkwASbABJgAE2ACTIAJMAEmwASYABNgAkyACdRmAmyMrM21z7ozASbABJgAE2ACTIAJMAEmwASYABNgAkyACTCBaiTAxshqhM1FMQEmwASYABNgAkyACTABJsAEmAATYAJMgAkwgdpMgI2Rtbn2WXcmwASYABNgAkyACTABJsAEmAATYAJMgAkwASZQjQTYGFmNsLkoJsAEmAATYAJMgAkwASbABJgAE2ACTIAJMAEmUJsJsDGyNtc+684EmAATYAJMgAkwASbABJgAE2ACTIAJMAEmwASqkQAbI6sRNhfFBJgAE2ACTIAJMAEmwASYABNgAkyACTABJsAEajMBNkbW5tpn3ZkAE2ACTIAJMAEmwASYABNgAkyACTABJsAEmEA1EmBjZDXC5qKYABNgAkyACTABJsAEmAATYAJMgAkwASbABJhAbSbAxsjaXPusOxNgAkyACTABJsAEmAATYAJMgAkwASbABJgAE6hGAmyMrEbYXBQTYAJMgAkwASbABJgAE2ACTIAJMAEmwASYABOozQTYGFmba591ZwJMgAkwASbABJgAE2ACTIAJMAEmwASYABNgAtVIgI2R1Qibi2ICTIAJMAEmwASYABNgAkyACTABJsAEmAATYAK1mQAbI2tz7bPuTIAJ3JkESkpA//PGBJiADQIll/kCsYGGg5kAE2ACTOBOJSD6f/x8u7naK62l7FS9S28O222bSujFXb3btnocFYyNkY6S4nh3HYGS48lwcnJC2Ec5jutGN76LFy6ipDJu6HQHFXlV9pbzURjpFYacm7xBq1wEG/N/XRC5fAcuanUvzUEYxRuw0UGGlcmvssFZyS8loovMwDsWBVbOo0TWX2pHjjKwlk9FwqjMAfXqYejW0+Wnqmj9lJ9jJcYoQfIb1MYGJ0NtqiV0PVxUDyjU8nzZwinOYFMeattNPmbMpGyS2yLEEd2qRtBbvT9UhlRmMlRFGy09jQkP1MOAitzbK0MxzoMJMAHrBJTr3LxPYdnHqGB/zHpJdkIvIn3jEsycPhOxc5cgcWs6Cqw8KgqO7MDK5SuxZO5MrPxov/H5ZDVjutdEKn2lLnPTrUZRn0tC9+TjVgq0msqBQAf6kKe3Rlr040zMAweHIXGXg303RRxVl9vxGVtymfoPpg6EOcDbov2Zi3QzRzkfUX1S/6/eA3/F4UprSko/qkyf39RWpOv2jRT714IDCt1q+zn9dTp2bEtH+q6y/0T46cv2hCA9Q4jd4JSykUpOI5HuCYcvlD0lQk7vSsSSjw5bP2kZWirfZyIjZkr3miVrdpS5z5RcKMDpU6dRcMFKJV48jCWLU1BZb4clx5LR5T7RZuphiY2+sXnf21Iha8dKm6mENmEtd0fDCrZNQL169L6rfS91NDHHu20I1LltJGFBmEANESi2+/AyF6rkeBIae4VhxeGrGN/ZxfxkBY9yNg5A+zfycejqIXjfWlbmJV/Ol46tPOLM4zlwFDwoWIrVmLogiZ/uwJJJgfRvBrKvzkM7ITM9AERp+Q4WVpn8HBD/FqPQiNs5pfNxZCbSj09BSFvzirpILy2JSinFDjK4RaFweE0kUhCK7EGtys+qgvVTfoaVHEP0ttTrTxhZm7RH/rJDODTRWy7oHP3kXy2/UDWPUjmuAynKz7OqYziqW2XLUVpc2TlWPD+tDFXRRuu0wrx/TUGzF4dif99D6NGo4iJyCibABCqXgHtnbwQ0ayZlmv/5DshPVwrrK4chPx+tGjSu3EKNuV1EYkBjhH1uDFB2gnGoeAu8lXvE4eUD0GWS1lgRiwlbk1D8SQis3kZogFUdFjw8Oxk5Ub3RzuLN6vC2JGOhVyvxpdmRPqQw0Elb5wAEe5r6LyW5KdjxaaL0L+dfPyEuyIH+hFEL4PZ7xpYgqSfV75G1uGoIhUlTk9A12/5Mctz0Hhm+E0OWUHJvzFg2D60s2tlN50sJXZoHwLsvIF2J+Tuw44icW0DfACVb6uk/0sgq1wqVe0t9tBLs6OGLCXYKjKN3syk23s0uHkzE0E+BpBz5vUabzenPVyJs9hKs7T8e3g9btB4yZK/0D8OSzmsx/lVv+wxKC7CkWzNEKvzUMiLfMN1nDm+MRJcRoh7lLXTDIawdrvR5KWjHVJr40SANU9QIt/ibvm6odK8NjlqLgJYWuom8rfW9HS3zXDW9+NiQxz1oBnF6FEPfC8Wht3vYiMXBtz0BA29MoJYSuJqTZKAL1BC8OttxArlymqQcx5PYivlTciiVH2zIvm4rxi2E30KeNrlcyjbE9YXEDJPTTMJVpKxK5GcSoKr2rhqSRiv6inay6FCZglIne8s86Hzohgq0ozI5ORhQ/JWBuiyGgNVlZbGZQ0Xqx2YmVXGC+A4ivn2TDFdF9tezDdRFNARXkKNZHlI+VSHr3ZNn9oZg+b4jQa8ZvcrIUBVtVGlPiNLcq2pGXS6VCTABSwI30/+yzKMCx3J/i543o9ca8sW972q+YcucAOn5HaD2AfPTlOd5sCHtLEW6XmzsA4Qm/2S9NLrPhNJzS/Qlxb8VB4rN413/yTBDcz4pq/JuvI70IbM3iH4mDEk5ZcvNT18hy913rfwMNpfc6pHaP1xbiXpYLegmAtW+gENJq7n9OSRTeZHUtjYoqbyYt3ZefXaqfbNby61s6lt43udnHTKk7f/K8JX678Ahw1cpM5Trb4ohu2wzV8ovNqzoLPqbmrZ+/arh0M4thrgo0SeSr19tu7569pBhy4Y4qV8qnSfuNrNXSslereQ1OsmQL/TU3GekvsjZVKks78lJhuyz2YYk5R0i9aySgfSO5G04dEk5roQf6bpAqMHGHewm+94W/fdKkPNms1DvcWnnbzYHTlfTBNhNm+4wvDEBicC5dEQOphlwRw4jeW4YukguC10wc6M8fn/xYDLCJsVJUeNmhyF2zX4juNNf0LmALggMCETg4Egkf5FjPAcaKUuMIHeYLw5j/8aZksvM/EUxmLBIzKlLwcxxkUj8ukCOT64CydMHGN1qugh5jisj2xTj8EdLqNx05BxMQZi37ELRZXAs9mtGpwq+TkYkjdAXGEfgS5C+ZqakTxeRJiAMyV+fNsnn6F6DdpiSkk1z8mh7bwnShTsD6ZY8m+T/QpGfZlAKGQMV2Zy8A7FScQOyyY/y2LF8pjFNl4AB5A6hcY2i8ysFv13E76NYiie7TgdO1+pIslymUeMImZ2ou8A3iMsp7agdcdgopxf1NOAN0kHDVqhVZjOhR8rULRqmFJNGExPfo7bRN5jGqQHtzEgxY3LmG4FKPXbBgIglZrI4Uo9lZKGAnE/jaITTG1P6U4mC/fQwhBEHjZgU66LUfsPm7qDlBCzrh05fOIxESie3b+Ik2qu99qDwX7ntMPGT25Go1yXbclBygUaMibmcVyCSD5okSV8cSW795m5rBV8kEveVOG1sm4qWJNPMEDHjk66I+JmIVOp2/5pYzNRcZ2odB1IbCRTt+Iv9MJvnV7AfsVNjkS5mHdKWvjwSM2lpgcN0fQ6Q2k0XhC2mpQYuU5sj+aTrgdqKeo3LqegvtSXBtgvpKdpK5Fya8WJSDQVf0Cj69EQcPpKOWKpnk/7qdUB5lBD7xSbOXQIizdpbGd3o2tlP7VOtFyfvAeYudOXcn4yyV7R+jQnVHdvXsDHGqXTMpPudk5P8L4z4aN2jymv/aj7Sr0UbdYgtJSw5RXUt2FO9imt5/zG6by+ORcoRpaLqtMPMZWTeXkCuV+rMWbOC+YAJMIGaIqB9MpvJUAl9ILP8lIOL5w7RnjcOLQuFu5gc5OKO4LfnQcz7Eodiy9m1Uvqdl56I3s0ptE4jhMQfgphHlbgx3SEX1QnJX0l5qH9KjtN9ig4CBskzzLQzCkvO0bnBylIw9BwaQM8U7XPG3jPkMD0rrPYh1YItfq3NyHTvGSD35xrU08SueD+phJ4HsYPpXiz6v/RsjiVW0nI+jvRRRMkU75b6gEo5cTTrDZ/HIUz0/TSPYo1yxl2b7Y9q2W4/sUB5TxDPm+mijxeJHOpPiD5qRftI9urXKKi6QzomTqW+tjjO3YKZ9MxV+/iizz9A7XPTM3kmvSNol1OS+kHivYHiBVI7CytvSSHqnzUW5TQQf7Sb/T7KxSPJ5JZM/aLj5Gas9n+pH5Osvt+IrCz6aCLoNPULhVxOkg6BiBX9f8s+oohIm3sHb/R+qgd6qP+6euPqgR3SuaQcxWNLOjL/U3JsCyYcAea9HWi83kEzHkP9ByBygXYmtCnd6a2hGDBC7peaQu3tUd9pl8grgO4zIXAXM1fFfSYqTrqH4MhpWkZA+JIFIGlRCNo1b4cQeg8Ud4bTkrs2uT4PGoqA1UnwLsOeIlnd7NfJfnr3E7NBgUOIjbByXdjoe4sU5bUrEcdsE3UbEUnX3xJjH9/mvUEkpDbtyLud8FAztidqJ4ERK83uk+2CxksMHXajNxOaD24LAjVtDeXymUBNEVBHeNWZkVez5FmPdGFKI1eho0OlWWjiODTlJ0P+zjjj6Bk6exuCo1Il0Q+pI2EIMMyImmGgB4sUL1idvXZVnvGl5it+p096yZiXN+U17180ZkXxaFq+FB4weZ5hxaIpxjjyaDuNRKkzEyme9+h5ZiN66siaPOsowHBIGsLTzO7rO8Uwb448Si5kWHvY+hifJRfL+jm0SJ5NIKVXdFNnFhhHBamsuEXzjCzs8duizj6U0pj4GWf/URnamQcBVC8BYoRTsBq9RRZPE0ewmzdZlpEe+gqHYsNaMQtPpOkbSvWk5WAxk8GosDLyRyOKa5fJdaGd1VC8X24PK/6VKtWbysCQu8VYb1PmxGlkCVZGOx2rR6MYxp1iQ5w0squOzl41qOySco2RDAZl9qk0CmtRPwaapaFtY3FzphjbuK32INqlmLEosaPf4NGmUWRj2CCVNwxbpBFeRUftKDSJWKZtqjMjz6ZpyvA2ePedZ/iJRq2l9t5ZGckmOVTZyQBsCNVcC1BGrNVrWB7dVutPlt17ELUbjR5C9oBBwUb9p9A1Lm3Fh4yyeI+eYZgxWtWN6k9pKupIrKx/gCHUGIf0l+riqmGtIp9oj3Ga6049b6YbjberdQm6DlYsizPKGrBMngWr6qYyt7w/SbI7UL9lZiXKWhv/2ruGRST1/iDkCJ0zzzBFrQe1nspt/2o7oFnh4hZk0UbLZ2suQ/DkKUZWUp2q910hrDL7ZcbOfHHEGxNgArcJAfU+ova/JLE09/hb6QNZUzH/QKohKTnNUKyZlZW/X54ZKD+71ecF3efNuka2wpVS1Nlqo+MMK6RZTsp9TTn91SLhPRFsSN25VnqGqjOvVP3FPWvKnBWGOE2f5SvpOWP/GZI2x/QcNvYhrSiu3k+tevPQLC3haWH0TjCU309S5Vb1KD4g6yU9D6j/a3wu07O/WPNcs9lHIZm1z764RTfRB7yeT147Ji8V787EW9snssJF1cOs/Tmiv8V7Aqh/mF18c30k+30EC6GpnRln2NI7g3fnGZJXVXay+p4QYJi3bIXpedx3BWkjNrX9mvpw5XrxqG3abCZg+X0UY99BtKnOofQOMMPYv1KfwWo/Rm0/2ZKHmJCN3p/mWKl7CwyWh2o/3LweLWMZDOp1aDlz8uqlq4ar1Nf8Sn2v0c74pXDpPM2YlvqOZjzKliFYp0YFGLwnb6E9zXZV6VOKa0Lpk6zYL/dJ1HuQ6DdfPSzuR9SeNPcoTS5WdsurEzpv9N6iNkOMt1jOkLba96Y+mqPtSp09S/mo/eu1B2Td7N8bSB2635f7bnfpkDFf8/epKfSOoCJR2/g8eTaqGsy/dwwB3DGSsqBMoJIJWHZG1GN0nmea6q+8WHsv+kouXXmQGDt25xW3nkHk+qPeGMkgME96QVc6teqDHd6GFemmifI/qe6SSrpDy+TO5Yxkk7vv1dxU5UYsbrLqDZeMKItMroc/qS4Kk2XjqNbYUCw93OhBT/KpJjejnjbcF9Xzth7uaudW6kyQbsJQZezMS3rPM5YlXG8lA9IgxWhoyY8e0tIDTDUqSpQVg5lqyFLKEJ2V1FzlEU9hUsess9zhOrRMNhgZDcCUj/ownZFebChOnye9CISuVuqRzhvZquXINaz5q/KeYjiUKz9oje2AYqVOFh0ocgs5L+uoGiOzV8uyyEYnObuflAe73AFT87VfjxpB5F2FlWqcEoHFB5SXKcVgJcJUFpJblln9kM5Z8ouDMA4bN8V4qcpvDFd3jPyF65ocqJYL0SFW3Enyd8qMzXRUOypKXtq2SdKU46Ztfl7t6IZqjE1qHasvU2rbNZOB2mdcumKMIjd3ucPkbeqUUUdTvJCp+qdFyS81a5XOohD9p3/Juqlx1GsggAYk1E6neh3G7acrTTGwmbkIK21fdvcz1+3qYblevKM0nVjKY55idE8l8VXd7N2fHKlf8zpQKsb4Q3LZvYbpZVUxPq41uiOaOsTCTab89m9hjLRoo+WyFS+MljJI7pRyvZndt5SXAO01Y1SVd5gAE6gxAur9THu9VlYfyK5SZLhaGzXFEDpINV55G1Tjn+rOaG4MUO7VYkkd9WavLYDuX9ILNfVhshXjpvQMEHHUwSE6V6z0JeVnk3oP8zZoBzjV54x2INH2M4SeSxZ9SK1Y6r56Pw2OWmFI2pBkWLt6rfSrHexOOiz3Dh3pJ6n1JuuRb5gnDE9kQPnK6CJJBhnF/V3EUfsK2nuwWR+lkvqAQt+KuGmremjbX0X0Fzqnafqj8oBtBfpI5fYR1BrU/CrPSuNSNqqhRtMPE/0qYRATxmHZAKi2Xxo8XJZGhjdNfrZ21TatMb450kdR2xr6xhnfh64aBydnSGEqd6n9qPITS3Wg1/jOAM17hC05jcYsOW9b0QQTqc9gNNCWjanKLrdri/NWeFjEsH1I9xvVFdtbWupJY/CXrh26fqSBXJpsQMehKUpf1XaOxjOO1ImIXO51cSvtStzbNIZI9V5iMJR/b1CXZrL3bqf2aWfsVN9gTe92Ser1RzrK/VqafFKJ7u1G0LxT5QTYTZvu2LwxAS2BuITx8sdZRGDLdpIby+EvsiUXHdW14yotWi6207uSpd/QoC5woYXCCwoKyAW0MXo8RyYPcjo9pLgJS66ko2di/HOmRcLVvMRHYMjpEDmfi+n9oRg6qJ0IkDaXxwMwfrLYPYR8o9tCAOZN7C1HoL+t+keC1kIByOXYmKdyNv+A7Ca7dvZQ4+LrLm2DkZ2eirTB7Y15VO7OTIROX4n0gzn0ZeR2iLtugOET4egktJQ3lR9cvP+fvXsBjrO89zz/a1m2W7YwLRAggQGL2Inl4IylgTPH3mFqEEumLC9UIQdOxdowe46Mp07MMAVWOEusw9QQK6khcqgFvKcGW2cqpCR2D2tRC2sxG8piZjNlU0OidhWMxBwziICDRGzoBstW25bV+3/evqh1v1iXvnxfkNX99vs+7/N8nr48+vdz0eGzIfX+tMpWFu9T9/vd6nitXbFcpw4dsgFWzzaoem18QJUtULHhQUvLhsn22IqS3TYZvvU+0L4/t7BSfCt/sF5HXz+i7etsQuhXGry9VXeWeddx9RQpLreJ8223nTv5yuNh+ddssXqxYfI2VNsbYuwN0bZzn6pWecCfnMDeXaT8zw8r1BtSVbE9Hz7sVvC3tvrf2yOHK7vj7AN42vXojo5YWq6Ufn9iUJkUsEnpLdir9sdstT53kP172G5rU5OqRy224x71316ngdMhNd1dpPCpHvMOqu3NWN6GU3VHjt0qnm+woWux/f74IgM1P6xVeXw4ScnNw8/tsWdPY0/8+W3VOc6WGP6yV/seSanj79fL/hiafNv0ouruLokdUxiITdC+tX7Yp7hUlYkUbNhO68/ctAx1qrTnWtieJ319YRVVbPaGgbS/Fow/h90rukINT1Ynh/yUbYy9njres2E4bniO237mhom3Kvi+Pd/W7lDUXguHvj/WqSc+zKj+L2qS6clv7z1Pu9q1NXxSVlyc7P3pSurXu1Dynwlew5FetbsFILa2qPaOQPxov2qe6dKRtqPaYM+F6T//kxcbdWMK20QeHj+iukQe3HBKG8I2Zsv3e8PN2t+0KQXGPMgOBBBIH4G5agPZSravtKo18fOrkVNsuPL2vWkrab/q3ufdFtSR1Gl1tm5WaeL9O3bA8CJrifvj/bZVnMvuqPKGY9b/XWyothui7Zap2PtglQL+lHegxHuYtVF23D78yVu2dUds0YoTPYok8jDJZ0gyxWTbcLyMxfa1/exR1T5ca0Mod3q/H30ysYBGhcrWuPdyWxxkpu0kN12HS/6RKltMJdb+dasDl//jWPu0/XjP1G2UOWkDukwkNVJuuf3T3WZW/rrWvapKtEfjl5hRG2ka9Tsm56PaSJGPO702Yd2Tdcl2mJt0oPqH3mRKCn7sPksT2x7t/csq+RPXTeye5u+ZtFFe/Onu2BBlS9u/1hZuedb9PdSd8jdM7KKJ/Ne8tCe5gJRsepX64FEd+fVw22qiLLrFHN2w9X0djyavN+6xNvWD126xduvwq23cI+d0Z7cbfr601BZXsfeaBw+p/XHXdg2o7u8G1Pl6i158/kW1vN6pgWCdIm/tk2vNNj1Qotg0NzYFk71W3dDj4Wf2yOxNr06Gzx6+NTKd2N+g9gqKH5ColymfV+5t4+B2Fd18j/c83NMR0o5N8XbhNN4bErmY+G+7xBFS43frdOA1m2rgw7DKH2xyHem0Y8Trr8gOblfnxxOWcjgxbqWdwCzfltKuHGQIgTkTKC0c5+NqxJw6w5dKzGvS/HBlclXl4UftzT2lkVhz13CQMfWY5G0X1NnqGnXJPd6NsjtdwyKU8iFarsCIY+wPbgu4JVclTj3dK0qNF1gZ3u1XuQVLp8jN8OGjbkW8OU+kkaFCd5AFJV46qrr77lGzNXzbfhY/ceseHXGBxNsTwYvUBC3I9FqTtjzsZlUatcWDXIm9ZSXjne+uaptnt32kXX6Jqu5zjSD7IyccS6W2Ir5qZ+xu/N+pPrxcg86vqh9YYOhVN/djk0r72735DZtqtthjPSNT6wuqadcWNbqgzaTbDOrRpTOizuMJW1C21hp6+5+0uUVP7dWOiM3dZA/VWZBsXC2bo6Xtpxbwfi42x048lWn9KrOg62TbVIqTnes9Nl75EicNhtXj5r3ZVDaqXAGVuaD0ZHMClo7TAB313Eptsscu2azK6xLrpCcyYb9HrOxteUkhSbzWvV3WoD7Q8aJ6qh5V42O1Xp24VKofeVFNz9qXHaMrxzvJ5h5d444a3krKk2HS5M5J35+uoH5jF5jiNbw+dlS1zVmaUnSbyMkC+w/E3lHc/D7Te/4nizTOjclsY4fXVIwK6q6piM3LlJqafWnkZmgaO/dV6kHcRgCBtBCYizaQBR7qd8RWj02UqSlYo/LECrvWLtgbjMpGVij8Qbtqy22Ouppm1V3aFzvcvpzsidSpIvUNLv55MelnnH0G+e19v+5x+xr6OZv70T6XIzZ/ofvScftd9ob/cSx579/4Z13NfcNfrMX22xdj3ueZta5m+hmSkvx4N198t1e7N5VYmzReCvtMbbe2wPaftWufzYt+5F/a+3c4duZ020mJzzwdrFXpwbFXdV8Uu3JM3kaZozbg2MvPfM8Myl81TltyRm2k2dTv6DZSfqwVPiYv9nns/mrwPvsSClsrxwbZE49N5/cVtFH8q127O/VvmPgF4/mv3jzys7xkU5X35e+k2bIvjg+4L97tlVx3V8mkh7q2swtVLdhmcyfWb92i/SfcFSvU9Hqz9ox4rftVcd8OeyS+2Srpj353v5reHVDgg2abO3OntXVrVLfOvZdVqsXmu+38UfLoxFnxP36m124cPmmcW7N9XsVfL4kUu/+zzct7d+yLiGm9N8RbkZP9bee/vVZHnz+uex5r1qM1w3N77nn2iBp+NPx3TuLv0kRe+J1ZAvSMzKz6IrcLIJA6wfiUl4vEwhh72jqtN1yvej+N/5z8SF3vfaTalG+9E986TZqmpTG6weu+XXPb8P6xPSAHJgvGWNis98zIq/bZIj1B+4Zpxpt9aLZ4DQALZo74ViqWkn91lQ5ZQ3+g9yMd+3WL9WKzYKD1Qti20Sb5TgnMJq4beb8lFoh8cJ+OvtulXutRGL3UG+vpOapMU/q92TVi0m5ZYzv426B6UorZYr3WknVkdfXRyS51dTeP/MMjkblRv0vu2u41HlreardvWVvs0TpVJ/7ASR4bUVs8ELn35aPqOtmr0EBUoeMvJo8YvjHDehzHz6VV8UDsW/AOt0DS24fdHtVtjQWGhq8Vu9X973d7gciap1rU2f2RekMDip4+NnXDz06f0n/0xca7P/wkHu/RifdZz7eSrfbwCet5POKoiCZ/7o84eOo7Zhx7Re9VZ+rr2T1Xurv00RvbRwbhJkmx5O7d6rw0oF57jh1tPaQ9WyvUfvBRbdg13KAaebpNbj7qOd8THNujdrL3pyup30ReJn0Nx+uvvXvEnzn2R2yP91oL2x+603/+J644u99jno8fWy/f0UlZz0jv64dRrqMP4z4CCKSJwJW2gaynXUeiHRb/vXt9WPsf8qnyiZHvEIH1toDLI67c9t7rPl8DMYORvcciCnnvH+WTB3MsYOneHrc85AKQbdZGsBERrUHrEVXrtS9GfPTFP8t7rNf9iM3aVx3eYhOxd/mZf4aMSG3EHb/fCmdBBzeywvsptIU1nrAeaXZU6mgLd9K020mJNsnjh9V7OrVt5dq/XWr/QSyAMlkbZU7bgCNKPPs70yn/eAsCjflMmiILc1W/vdYrd8Rmn4XjfJU64pDZ3ZleG2VUbhTpj7WqRu9P5KEntZFuO8NuRJH1Dp5si7zf4ZWx5uXayXtFukSS7brJUpyjx84c17bSWCDShsUrdKlzVCBy7HW6X3E9PA9p9x1+Bd84YAfsU2/wsA79nQUhX6qxEVn7xv37KZbS9Opk7FWn3jO951Wdjlrb2OazV/vT9+jAiXgtT/O9weVi8teNdQT5l4cUHQjpo/eOqeWl2KJj+5+0hSVfGX6O+APjdTSZuowckR4CBCPTox7IRYYJFNgfuW4r3eh6xtmHZ79fgZISlayO/XS9YkGHjY/aKnvew5P/E/9WyrUVdcKCRH0ph9tw4GPeN86p32o269j7KR/rH7Zrp+uFtz4wJlDiL4x943gsmJKorQZYaivQVv5tZ8qFxrkZK+LwAxbca3vSVrp2e56yRuzoxy2vbkW8yp8HbQG5Mm2+d4f2vnRENreibaERvUQTfj3HYz309lqjuOqOcpW43o9nOtV8wk6xxv3oS7iUxm7WuHZ2rot+ajHfblLlndZjNRhW2cbEt4oW1IrXUclq+5PhwQ3a8P3DowJcY6/gDWMIVKjeei20P2YrcT9ta1o/Zavhjf5G0XplHHZ1YY2Jhh9UWcC2xOs912nfjLotUW7vjjU/pluP7ni/TRng9fMc/cm9tsoL3rreuVtcoMumA9jsecSuMvxvYqizbLV1+1Z2fZlKrGtfX/CIN8RimtjDyU3nVuoflm5o+4SBuOHEUkahD++0zBVZfUmH1XlqeHfEerZ4z/3hXVd2y1+qLZtcEn3yFw+/nkv8XdpevkHbUxo/k10o8r59u22vBffNeMnaclV9v05N7e2xIXjWME959XrJ+POL7Lf1Tnk35QlsRx33voiwYXTF03klzEH9TvUatnrw3lGe60iu5OkK0PHMbd5rrfPzmTz/vaLP6h+n1b6rJblio0uk4xX3BcEEm62MOx3BCc5mNwIILIDAXLWBAsnP+Nh7uBdsO2nvsDYiIJj65ms9yTvjPfrcO0SVjeJwgcT9r3QnS+s+Yx51n+lPVU0d9LDD3NQp7uvB+vvvUYO9/++1IcxjNms3eO/4T9r7aMqDkQ/jQSQbAaCZfIaMboekpDnpTfsD3vW9b3vLDQW19/YZtpP81ub1WlanIgqkfF76T7ZZ+3eDWmzqIG+bpI0yN23AkaWc3Xv9zMs/8qozuzfTNsJ4qSeC5m6ob+rW/W7sfsUa9yybm20mbRT3xXhysx6MLV67z0Y7jHqe+uN/R7Uf70oe7tpeTes2qLLCVgtP2Tv6ZvCNWJu67t7xv3gfcby167wpmfoHxrS9Rhw3mzv2BWykf/hNpe3HW7z2tM2dqEM2ndboMo+5RCRo0ya0qaW71mujhELObri9EpsSqcx7bPS5M6mT0eeOdz/R9p7R88pG81WtL9eeePvr0YoGr1027feG8TKSsq/bhoH7bIX44KCNgrp9s3Y8sldHeo94R/Ta1GjJLf7cKpjdiz+ZDDcWR4Bg5OK4c9VMEUh8o5YIKg4OeDlv+kWj2n/bp8Adtd5wn+aHN6j+oDV0rcdh60+2656nLcjmvhEPTFJQ7/PLGr4/a1bwlA3m+eEhOzioe0q3qdU+zLvtm7+GzRu84N+e1+tGNIR3VmzxjgnanJXb1m33LnLo4bGN3rKtdd7Qxcb7S9X4SoeC77RpZ+k9seN3xAKpE+Ww7eF61f/Yfp6wn13bVbm0SNvd3CcWUul6Zuy1ZB/4NZusBE9WqsGu1WNzEh5/7YAOPGenWAO93H1IjPIr2+zCaxZY+MV+dZhdhx1faeX3mjInO3XcGrlTbe6I6sdcICKobTfH7I6/tl+l3220fTXavrlEmx/Z5yVTa8Hj5jeOe/M4Nj5UqvoTdsQT1mDwHp34n1gu3FDtvcmD6mrGDqGVvyzW6LGg2X4z6LY5LQ88Ual7vHkIbebP3xwf0Riabj16Fy20QJndGDv/XUDV8bkF3XFNu8apGy8BGxpyb8y76eduHkPrSfZCfdzJ+oYEg+qbmttLadr/nKhX7RPN6ni7XY32GonNUjVBA9lea25rs+dC8xtj58lJvD4SdRx8u9UChLWxkyxwPa1t9Ot5zEkBG1Lm6rhZG+6sV/s71oPYXmPbr7vHe07WT9DjdHQy/jWVXuC4/s5ae512e3OHtr3Q5JW/woZLjW4vlT2wO/Y6/W7sddr9gb2P/Hi7at0fyo/vU1XJ6CvE748ozxzU71SvYftyo+7lGrt4o0rvb/Res20/36l73Gvc5pHcctPMnv8TlGry3Ta8bffz7nncqNvub1Cbzcfa+uNtsffc0Wee6fF6T9Td7f3JPPpR7iOAQNoIuLnu5r4NFCuefUY+4d63bPqNzfVqc+/r9vlRf6e939reimfrvfZJydZa733Ytedce+m4BTwSnzGH/2KCz9UR78GWmM31u+OpxPuNDdG29seYzd7D9liPJ9mMi6XV7n3UeoKlfJ4d+aHN7TedzxDv8zrRhpzFh3cy77F27YzbScVVanrKivFqrbbY5/xx14b7VaOKquptpxs5kmhZTdxGmas2oGfs2uk2NL7R2uJ9iTa798D0/plx+aeX7LhHTat+xz0zZafNx2gLsyj4s3u07SfWpvvA5lz/VYM27HAtrb16NDFXdsop070ZGnXgTNoozbvsb4Bf2d8bNl96w/2xdl/1S7Ujp1Fy6duc+La4ynD+rb28f1e195qsttfHOK+cWK7sS4QO6xDgvvSvLI7tmvxfC2RtstekTcEwPPf+5GeMeDT5Ohmx1+5E1Hp/gQqu2h77ksMCr7HOI9a7+OWm2N9O7u8n72en6n8+dqRL8AULtD14WDvWx1qFlfe7ntX1qtrVqAM/r7e6tKDr42On73I5mUmduOMn3Kx8bku2vWf4vPLeedbv0NFn3Pvefvs78bg07fcG79Lj/uPSLbvTve8GVfmQvU++36Oe94/rwLOu96j93XfncCC69z0XnN6jzWtGt669Q/kn3QXmfYkcLoBAmgokVnWrezm2enXivrcKcSLPtsqYfVce1SMtsVVz7b6FKryV6qRDsX2hzuje+Oqu9nqPPfbgi9GPEisvxldiS66AF0/brTJnb93e8RXx1ZA/+nVTPO3ENWxFvJc7E2fEVkVLXCPl97624RW4u1rrLI3hlR8HbKUz+6Z+RLr7WhNpJgo6/DvhkCxL4txN1dG9zx+J9ibK5U4ZVbaB7iPe6tojzx256uAIP7cK7uOJVS1jeax7viXaEl8NUG71uVHXSOT0sLeadV00sfJlb0dsZenha9dEh1d2s5Wngy3xlZSHLepsVfLU4iTSTvxOXiNxkK3+Z39CmKWtop1YlXBU/kLvtiTrNZaXumhL26HkKs6dA8OrGw7nNZan1HpM5CH1d+ezzspWHhy9Ylxylei90Y8S+XInjspb9HRndE98hebEtZtaDyefv03BREFTrjo6DfdQfIXEutSV3xMrpdsKmt5mrwvvtZN8/uyJNj3lVoxPPDfN4RErd3LFRrcKZOK5UBFNOiUftxXz4qtaJ/Je8cieWH3EX5+J525shdK4c8r5w6ubxl/PLqPjlK+zde+I14u73ou/Hl6BPPYas+deKtcok67Xx76WZe8LsdXHx+ZtwFZsjz23hp+fFY+3REPx+kyWrTvlopb3Ee9P06jf0e8Pscoa/nfK17C9Yo4+795jhvOpB/dFO+OrqU79/HerIaa8R43yn46ty21na2yF81g+qm113Fh+mjpSV12M5dOtRs6GAAJpJHCyxXsPGd0umos20PildKs8u8+flPctu13z7JHo8DuGrbt78siYdkJTynv/mLQT78EpnzMD78bbIo8fTh4+9v3b3kefHZ0fW1373eHcTP4Z4vI6tg2ZvGD8xkdte7wyp67anTwmsdq3OSRWpp2qnZQsR+Jz3rXhEu21pG1Kmy9xsQnbKHPXBvyobfhz+8Xx2jKJvLjfEzz/Zlx+l9aozzC3azptpKnq10sn9Z/xrmMrSjfFP/uSz21bXTvxeexWkh7ZzkpNcILb4zyn3ZFTtVESK1In8xF/PlQ/czjZzh77/Pko+uKo/Nc805JcjXvcHCba4Y8fGffh8XaGjsfaY+O+DuyE5OsktX2VSGgCD2d72LVhrU3utQXj9TO6/Mn7Ke8RXtK9R7zX5uj2iXteJP42nMpiqjpJ5nFrSps3Ua7k79Ftb3tgOs8rV2+Jv41dWnZOos1/5FO7P9V7w3jPZzst+XeX1/Yd/317xN9uCffHj7pcsGWggM/l2V4obAggMAOBiA2V9YYYpAw7cCvvRmzYgdsfSF3ZYrJ07RspN6H4iDl7IrYq4amQ3HfVRTbcOZDs9WXfwj1UoNpX69R16ZDKwjZ/nn115IaTTudybrVqNxQnELDh3Cn5nix7s3rMyuNWIHbzEw0M2tCX1Ylvx4dTG+0Xsbx5ZQlYWeLljYQtDVv9eEZ5tWuHz7hrWzmLx15XLm/2uFd3lvZ03IZzPYNbSQN/bOi5O9WeM25eKle+WddjX7t81nPUgoC2KvPwt4IzyJl3qPdctVtuaJXn69ysJ0HALd40p88NVx/2JLU03fNuWps5xV5HExztVq13w2LcPJLTGr48QTpT7XavQ3tSuueKf7avGZeGtxK2vZrzS+25MNW3tvb8PNWrAStegQ2hm235rrh+k8/fiV/DiteDm4tszPtd8vzxnv9TGUxVMTaQy3r19triTRXr7TnlvtV3z9kPWuWznrKH3htQnZur13pPNNhKlo2PHFbU64U0dbqTHeHes86fP6/zAwP2e0AXLlzQpUsX5XP/LVkiX94S2T/24xtOxmteWRNr6LL9734Glb90qZYtW64CGxO1YkWB/azwfvLy7Fw2BBCwz8r5aQM52oi1m9wc2m44nz+lvTGC3aak6fnY+ob5C6wNZm2SOf1MHHGleH5ca69ApWvin8eph0z1GTJeGzL1/Nncdu/fM2wneW04y4vX/h2v7TVFPuayDRixdmdiyOkUlx3/4VmUf/yEprF3qvqdRhLuEPeZH7JhyPIXjdvmnmYy0zhs4jZK9692asPDzbLAtnasds8haz+5dvY0Gtquve/9DeCOT/7NM43sTPeQRHvgwRZF/27HdM+a3+Os7nvsvWi8v5FmduGJ62RG6YzT9p6L59WVvje4Mrj3bW9O9Yg9x+3v4pKU50jfG9bD3EbqtJx0K2zPqMQcnCYCBCPTpCLIBgJTCySCkTXqHDg8ds7GqRPgiLQQuLJ67PiJDft+ulq9tvpnyTz+kZQWVGQCgTECETVXFGjnCeubfrxXdXfYCrG2euWjN9sUDDaD2dHeTm9Ye/id/SqyIZmHrYFaM4sGqgs+fv311wrbz/n+c5IFC31Ll2sob6l8+cvsZ6m0xG6nBh/H5HXsjqgFJKOXL1mw9JJ8ly/a74savDBgcY8VunrVVVq1apX3M/ZM9iCQ6wJX9tmZ63qUH4H5FEgEI5NfCM7nxWaRdvhtN4VAg6zXnqpXzyIBTklDAVuczFek+jn60jkNC5gTWeJP2ZyoZgqZLQIDJ11JrNsUW0YLXEk9Vv2oRTVPb9DuN+p0+IHYAkUZjUHmEZiRgF+1v2rRzo212rm5VDtTzt37+uH4/Jo2Cb4FIvXM0RkFIl3Px1AopC9DYV22noy+5SsUXeqX75oir/eju5T1f7yizbck39KypteygmQ6FtbUpYsRnT43oC/Cp3T50gULSF6ta+26RUVFyeO4gUCuC1zJZ2eu21F+BOZVINLrJR9xoxXScAvcvUctWxu07Yk26x3p5mxly3SBvrdsbk4rxNGfUp+ZXJf0jMzk2iPvOScQ6bMJfPsLvFWac67wWVTgK65HG7Jgyyd5q2FnEQtFQWD6ApE+BW0Vzh4b3uW3xZ3KK0auOu6GF7kpLKaa5sEFHb/44gudPvOFLg3aX1HLV1oQ0n6sF+RibVEb1h2NnJPv4nkNWZDymmuuUXHxtVq5cuViZYnrIpAWAlf82ZkWpSATCGShQH+fuk8NqGytrf6crl2dbAqGPhsaXVIyzWmDsrCasqpIbrqgiE0HNJ9TNmUVWHoWhmBketYLuUIAAQQQQACBeRJww7D/+MfTOnPmtJYUFCq6/CrlLR/urThPl51xsm5Y99DAWfku9Gv58mUquf56ekvOWJETEEAAAQQQQAABBNJNgGBkutUI+UEAAQQQQACBeREYsAVoevs+11fWo9K3YpV8BVcnh2DPywXnMNGhSL98A19ria2Rc2Npiddjcg6TJykEEEAAAQQQQAABBBZMgGDkglFzIQQQQAABBBBYDIFLly7ps95eb0i2b0VAeSsDM158ZjHyPd41hy6ct6DkV8q3BbhX33ijrr766vEOYx8CCCCAAAIIIIAAAmkrQDAybauGjCGAAAIIIIDAlQp8/vnn+sNnnymvwHpCrrTFaGxl7GzYXE9JnQurcOUK3bz6JhvGvXjzXGaDJ2VAAAEEEEAAAQQQWDgBgpELZ82VEEAAAQQQQGCBBM6dO6fff/KpLkXtgiuvkS9/2QJdeWEvc7k/pKFzIa2+6SbdcMMNC3txroYAAggggAACCCCAwCwECEbOAo1TEEAAAQQQQCB9BXptSHavraidV3it8mxuyGzfooMXpf4v5V+6RGtuvYVektle4ZQPAQQQQAABBBDIcAGCkRlegWQfAQQQQAABBGICFy9eVM/Hv1dk8LJUWGyL0+TnFM1lG7YdtV6Sa269lQVucqrmKSwCCCCAAAIIIJBZAgQjM6u+yC0CCCCAAAIIjCPw9ddf66OeHkX9q7SksGicI3Jj19DFiHT2tIqvKdLq1atzo9CUEgEEEEAAAQQQQCCjBAhGZlR1kVkEEEAAAQQQGC1w+vRpnTr1B/lWXac8/8rRD+fc/Wh0SPr6tFYsW6Jv3Hab8rJk0Z6cq0gKjAACCCCAAAIIZKkAwcgsrViKhQACCCCAQC4I/OEPf9DpL0MWiLw+axepmW09Dp39QkuHLmrd2m9o2bLsXMBntjachwACCCCAAAIIILB4AgQjF8+eKyOAAAIIIIDAFQj8/pNPFD57Tlp1g3z0/htX0s0jueTCWQtIrlVBQcG4x7ATAQQQQAABBBBAAIGFFCAYuZDaXAsBBBBAAAEE5kSg5+OP9fX5C/JdfcOcpJfNiQyd/1q+82GtW7dWK1asyOaiUjYEEEAAAQQQQACBDBDIy4A8kkUEEEAAAQQQQCAp8PHvf08gMqkx9Y28FasUXRHQyZMfKhKxBW7YEEAAAQQQQAABBBBYRAGCkYuIz6URQAABBBBAYGYCn546pa/6B+gROTM2JQKSf28ByUuXLs3wbA5HAAEEEEAAAQQQQGDuBAhGzp0lKSGAAAIIIIDAPAp8/vnn+jL8tcTQ7Fkpu4Dk5WUrdfLD/65oNDqrNDgJAQQQQAABBBBAAIErFWDOyCsV5HwEEEAAAQQQmHeBUCik33/yqXxFN8q3JH/er5fNFxg6e0aFS/O09hu3ZXMx07Js4Q861PSLVnWHA6p7ukHVtwfSMp9kaqRA3zutavlNb2ynTXVQ+o/rtOPukpEHcS+9BE61q/4Vv5p+VJXMV/dbzWp+tV092qJ9z+5ROS+/pE063ej4SYP05/tUtTqWK15/6VQ74+RlMKy25+q1r7VTZXfXquHJ3aoo8XsH8pobx4tdSQF6RiYpuIEAAggggAAC6SgwMDCgnp6PbdXs6whEzkEF5V1VrHMXLuqzzz6bg9RIYtoCZzpUVH6P+u7aoYYfFGnbxiK1fcgcntP2W7QDI+p4plYtFossLQkoEAjIf9WiZYYLTyVggZHuEx1q3LVN+1t7lHiFhd9p1Ibv7lT59xtUd3OLNhTVq2dwqsR4fCEFwn3d6nilUfc83aiecKLmeP0tZB3M5lrtTxZp+5MlOvCrZm33t6iy9FHvtcVrbjaauXUOPSNzq74pLQIIIIAAAhkn8F+7unVp6Upv3sOMy3yaZjg6dFnRL/+gNbfe4gVX0jSbWZWt7oPbtKF7j6K/iPXUOv4Tn7YEOhX9lxVZVc7sK0xYjb46VQ8cVkWss0/2FTGbSvRhu7Y/dkA9b7YruLVFA+075LeQZGtFgTqf7VXTvSVW2rD2+4rkf29Au2+nUtOj+iNq/0mtDhzvUfubQR2yuqnz6obXX3rUzwS5GOxW5dIN2nc6qupid0yPtvtu0/aTIenBIl5zE7CxOyZAz0ieCQgggAACCCCQtgK//+QTDfryCUTOcQ358pZI1kPSrUzOgjZzjDtBcuG+dlWUlyYfDayplnrtDza29BaI9OqY2lRZ4JPPZz8V9eo4lei1ld5Zz8ncra3W4fYjOvxyjb2+EgIR9Z6QyksT47L9Kt1kD5+mHhNCi//br+q/Pqwjr7fIam544/U3bJGOt/LL1XE6FA9ESn1vt9m7ZYXKbYg9r7l0rLD0yhPByPSqD3KDAAIIIIAAAnEBN09kKPyVFzQDZe4F8pavUNTGm7qAL9t8C0TUc9yG+Y6+zIfh0Xu4n24C+UWqfqpJnb0Dil4K6WhNh+65ryU5/Dfdskt+YgKR1BoadAHlUZu9GLv7+DJglMri37Wh8yNCxLz+Fr9OpshBoNiC/Ge6deAhn0qr6tVy3L54y+c1NwUbD5sAwUieBggggAACCCCQdgJDQ0P65NNPpcJrvd5IaZfBLMnQksJrdG7ggs6cOZMlJUrXYvhV8UC1elP/yrYePxV3ladrhslXUsAWG3pmT2xBhvyAqv68XjpxXL3MN5gUSvsb+WVlbzrAAABAAElEQVSqtp6QqS+/Aes1WbVxzNcDaV+UrM/gmPXpeP2le533vXNAvus2qOfeowpdimrHn5ZIvObSvdrSIn8EI9OiGsgEAggggAACCKQKnDr1B0WXrZDrvcc2zwIrr5HzHhwkujKf0kUl5Qo+tl/d/XaV/m7t3xVU9fqi+bwkac+BQOTEfhUs3a7ueCTr+Gst0tYqlY0JmszBxUhingT8tsqv9OgzbV5AMvJ+m3aesGHbxcwXOU/gc5Ysr785o5yfhAZ7tHvzo9rzepf2/fkW+fvDCoetx/8gr7n5Ac+uVPkYza76pDQIIIAAAghkvEB/f7+++PJL5RXfkvFlyYQC+Jb5bbh2of7wh890qy1owzY/AiX37dORp7Zow1U+7wIVzxxVp7eYxvxcj1TnRsC/abdaHq/SBpszMrbV6dinI2a1m5sLkcqcCvjzLdCY0vGx6qcWLCnYoAJfrXedfb/uVZV14GJLPwEXIi6IRyl4/aVf/YzIUTi2Yv3++zdof8oDLd0D2sFrLkWEm+MJsJr2eCrsQwABBBBAAIFFE/jgv/29Inl+Fq1ZwBqIRqMaOvOJvrlurVauXLmAV869S0Ws10jEeo0E6JWVWZXvevxY5+FAwOZHY8tYgfAZ67XlDyhQmLFFyM2M8/rL2HrnNZexVTfvGScYOe/EXAABBBDIDoH+L894f4gVukb8KjrWZ0etpl8p3KI1n1gPPV/RTemXuSzP0dD5r7RCl7yAZJYXleIhgAACCCCAAAIILKIAf00uIj6XRgABBNJCIBLU/n/7utw0ZsltWbGq6/6F7rzePiYGT6nt3zXrvZT1LQrXbFbdP/+uXP+QwT++q1+2/FqnLIHAjRt1f+39KmMapiQlN2Ym8Flvn6IFASUGRM7sbI6+EoG8FVfr/Bef6uuvv9aqVauuJCnORQABBBBAAAEEEEBgQgEWsJmQhgcQQACB7BNwvc7G29y8/Hc+8LAFGB/WwxZMXJd/Ru2/dAHKiNoPuECkrSBa+6/0r//1Xu1+4E71f3xczUdOWiTypA78TbtOLStX9T+7U/mfBfXyC6+PWLFyvOuxD4HxBNzzc3Aoqjw/w4TH81mQfSsC6u37fEEuxUUQQAABBBBAAAEEclOAYGRu1julRgABBEYJ5Kt0Q5lWrylT2doK1dxTJp2P6MLHHXrXpleqqN2tu9a6fpD5Kv5OtXb8aZkKI/3q73pXYesf+fDuGt35J9/V7u+X23ndOhlfdXTURbiLwKQCLggWLbh60mN4cH4F8gqu0kAkIreIEBsCCCCAAAIIIIAAAvMhwDDt+VAlTQQQQCDjBAbV81+CcotPRiKn1Xm0R1p1p/SlRSIt2Fi+ZuTHxbp/9rDWuTIOrlPdNdJqr7z9+vV/6rZb63Qzw7Q9Ef6ZvsDZs2d1cXBQeavoFTl9tXk60n+VPv/jaRUWssLDPAmTLAIIIIAAAgggkNMCI/+6zGkKCo8AAgjkroD7MHjvP/1aJ+3GoAWECm+s0MMPVmv5h60ToAxa0NIWpPQXarVFIk91tuv/fONdG9Ztw7n/eY03l+QEJ7IbgXEF/nj6tD2hrhr3MXYurIDP5o786o89unRptZYuXbqwF+dqCCCAAAIIIIAAAlkvQDAy66uYAiKAAAJTCwza8Ov7f/RXqhj1qTC4yg3NPqmTpwa1LqV3ZLClUa9/UqG/euq7eveX+9XxsT2+pUY1924UnSKn9uaIkQIuAB4Oh5V//ZqRD3BvUQR8Pp+WrFilL774QiUlJYuSBy6KAAIIIIAAAgggkL0CzBmZvXVLyRBAAIEZCQyeH3t4/tp/oo0rZAHHZgXdctm2nfovbXr9Q6nkf6iUutq9QGTFA7tV849uVv8fz+jMH8MaHJsUexCYUODLL79Uvs1V6PPRLJkQaYEfiC4v1BkLRrIhgAACCCCAAAIIIDDXAqP6wMx18qSHAAIIIJDZAoWq+Rc7FGlu1evN+/V6vDAld9yvun+yWn1v/b/enuBrBxRMFtSv+//KelnSRTIpwo3JBc588aWiy1fJN/lhPLqAAnnL/Bo8O6Rz585p5Urm8VxAei6FAAIIIIAAAghkvYAvalvWl5ICIoAAAgh4AqFQSEVFRbPSiHx5Rv3We9JfXKxCAo2zMuSksQIXLlxQV3e3lly3ZuyD7FlUgaH+L3Vd4XLddNNNi5oPLo4AAggggAACCCCQXQKMh8qu+qQ0CCCAwLwJ+K8pVvFqApHzBpyjCX/11VfKW07Pu3Ssft/yFQrZXJ5sCCCAAAIIIIAAAgjMpQDByLnUJC0EEEAAAQQQmJFAyIKR0WUFMzqHgxdGwLfUbytqD8r1XmVDAAEEEEAAAQQQQGCuBAhGzpUk6SCAAAIIIIDAjAXOne2Xb5mtksSWlgJ51jvy7NmzaZk3MoUAAggggAACCCCQmQIsYJOZ9UauEUAAAQQQyHiB/v5+LVm6TL48vhtN18qMLl2ur74+q2KbK5Zt7gR+d//35i4xUrpigXDFn+qzbQ9ecToTJXBz0Qr903XXTfQw+xFAAAEEEMg5AVr/OVflFBgBBBBAAIH0EHArNUdtKDBb+gq4odquntgQQAABBBBAAAEEEJgrAYKRcyVJOggggAACCCAwI4Gz/Rbkyl8+o3M4eGEFfPnLdHlwUIP2w4YAAggggAACCCCAwFwIEIycC0XSQAABBBBAAIEZC5w/f14+G6bNlt4CecuWy9UVGwIIIIAAAggggAACcyFAMHIuFEkDAQQQQAABBGYkEI1GbaXmi3I979jSXGDJUkUikUXMZEStFT41vx9R9ws++X4eXPi8RILy+SoVXEyGhS81V0QAAQQQQAABBOZFgAVs5oWVRBFAAAEEEEBgMgEX3FpCIHIyorR5LGrByIGBxYzCxeYVdTkoe6BLXfllC2+TX66uYIvKmOJ04e25IgIIIIAAAghknQA9I7OuSikQAggggAAC6S9w8aLrFcl3oulfU5ZD1zPywoWFzepgn1qf2Ga9EX3a/kSjDp+QXBwwHGxX+7thuxXR8YP13uPumIZX4r0lU87z+bap9bd90mC3Gqob1ROf9rLvjUbVv9I9cRp9x1VvPTFduj47L3jGFb1X7S+3q9elMRhW649jeXO9JZvftmu47cN2bX+oXg3xfFfualUfU23GbPgXAQQQQAABBBBIESAYmYLBTQQQQAABBBBYGAEXjFQewciF0b6yq/iW5MurrytLZkZnt/+wVLWnavRRKKR9d0lt8bNDfS2q/7hX+qBNW3aF1XU2qujpY2rfUakOCxp2PG3nfVCj3oGoPnq9QrV37vaCkO1vHlY4HhgM9R22Y62f5bhp2JDwrVvU82SX3FQCx+4+rMqfdtjVI2p5rsVLo+PpItWeqfWuEQrWa2dVqdpO2REWpGx7db8KtjZp4HSnKg/WqvmEC5yyIYAAAggggAACCKQKEIxM1eA2AggggAACCCyIwKVLlzTkW7Ig1+IiVyiQt8RbUfsKU5nB6X06dlBq+WmdygIBlT+wW012dmygeKkqXB/J4hLb06xa6zXZ9p5fh3sHVBXoUevPpEO/qFWJHVJ23z71njygUjuy1Ps3kQW3Z4I0iv0q2WrBzx21ajzYJv/Wwxp4tso70UtjMHaNlid3eNcIbNqhI49YTt50PS0H7OeQ9txbLn9xhfY8X6HDx3u8c/kHAQQQQAABBBBAYFiAYOSwBbcQQAABBBBAYIEELl0alM+CXNmy/X//8YjuuOOOET//8beLsNDKPIC6erp8eQHHG0dsSLSVw1+YKIxfgcTNxO/iKut9+JGatpbo2N/U6bbSArX+96+8RwsSx9hvf6Ff/ngH3MRvb7y3O2a8ND6MqOqZAX30XpNKwsdUt/E2FexI9Mu0c6z3o/XLVElKhiLW+bG0pMilOHLzx4OeI/dyDwEEEEAAAQQQyHkBgpE5/xQAAAEEEEAAgYUXGLx8WRaNXPgLz9MVe//+v3gp3/GP/rGqqu7Rxo13qnDVqnm62sIn68tbwLryl2v3Jutt+EYsmBv5oF07rcjWlzG5hd9pVMHDx7XlgTo1/V2H9tkjvQPrVWW9Glt+43op2vyS7+xXUWm9+myxJBfe7Omzndazse3hdpVaYuOm0f+V9i8t0PH8Lar7UZOOHd8rvdob75Vp51veai1v+1+LB5rPBNX8qlRd4XpqsiGAAAIIIIAAAghMRyD+XfF0DuUYBBBAAAEEEEBgbgSGhlwwctncJJYGqfz3nk+9XPyLnf+LCgsLdcutt2j5suwpn29BA8d+1b1xVG03V8q3a7hyC+KtVhdIDGyq0d43N6jAVxs7YNM+da33q+ylozqcct6Lx3tVUhjQvmcqtO1mn3ds3SPeQO8J0rhB/tf36rbyAsVT1r7Xu5KBUOtnqR1v2jVKh/NW93KnalbbMPIPLPlNqf0yrcdkagR1uCjcQgABBBBAAAEEclrAZ5NzR3NagMIjgAACOSQQssUgiorGGU6YQwYUNT0E/v7kSZ1fslJ5y1ekR4auMBduiHbqdtPajfp3//svVHJNdrzehs58ok3/4DupRZz/24MRhcMRBYpTxkSPumokHLaFY2wYt831mLpF7DylDNF2j0X6bZ9/eNh24vhx07DelGF3vAUyAyOTjp1mo9bDdm357fHkcPJEilP//t3935v6II5YMIFwxZ/qs20Pztv1bi5aoX+67rp5S5+EEUAAAQQQyDSBBRxzk2k05BcBBBBAAAEE5ksgm74JPXf+fJLpuedf1P/8ULXOffieXvw//kNyPzdmIZDvgowTByJdin5b4GZ0IDK2f2zQMXX+yNTcjJuGBS3dtccNRLqTrZem9/gsApGp1+Y2AggggAACCCCQiwIM087FWqfMCCCAAAIILLKAz2dDZrNkcMaABSN/8m/26ZayW/TtDRv07fXf0rH/0K73PuhaZOW5uzwDaebO0qX0D1//v+Y2QVJDAAEEEEAAAQQySICekRlUWWQVAQQQQACBbBHI8+YgzI7+kZELX+qv/3WD/tf/7Zfq7e3Tif/8f+uzr6V/8K1vZUt1ZU3gOHsqhJIggAACCCCAAAKZK0DPyMytO3KOAAIIIIBAxgrk5y+RLg5lbP5TM15S8g19/3/6J3rl/zmq++476j20fMUq1dX8j6mHZfRtb8GhjC4BmUcAAQQQQAABBBBIFwGCkelSE+QDAQQQQACBHBJYmp+vaORiVpQ4f8kS/au//rnuuf89vfdf31fguhJtvmOTiouLs6J80aEh5VkZ2eZOgAVs5s4yNaWuhv2pd7mNAAIIIIDArASWLcnTn/3Dm2d1LidNT4Bg5PScOAoBBBBAAAEE5lBg6dKl8kVtteIs2VxAclPlJu8nS4o0XIyhy8q34DEbAggggAACCCCAAAJzIcCckXOhSBoIIIAAAgggMCMBLxg5NDijczh4cQSilwe1dOmyxbk4V0UAAQQQQAABBBDIOgGCkVlXpRQIAQQQQACB9BdYvny5ZEEutgwQuHxJy5cTjMyAmiKLCCCAAAIIIIBARggQjMyIaiKTCCCAAAIIZJeAC0ZeHsyOOSOzq2bGKY0FI1cUFIzzQO7uirx/QD7fAbmJBsIfBhU8lT1TDuRurVJyBBBAAAEEEFgoAYKRCyXNdRBAAAEEEEAgKbDE5lhcssQWsbFAF1t6C/isjvx+f3pncoFz51+zXZ3vbZdT6X2zUpWv9CxwDrgcAggggAACCCCQuQIEIzO37sg5AggggAACGS1QYL3topfoHZnulTh06YJcXS3INtin1ie2Wa9Dn/1sU+tv+7zLhk+0apu3z6fKXc3q8zoiRtT+k53a+eOG2GPVDWp/u00748ftf8udO51jpJ7XGtTwWjygONijxoca1O1mEfiwXdsfqldDPE+Vu1rV5/aHO9XyWpf63mrUhsfs/pMb9Mv2X2qbPR62u26LvG95tvv0mYx58C8CCCCAAAIIIJAQIBiZkOA3AggggAACCCyowFWFK6XBCwt6TS42MwG3eI0LDC5btjBzRnY8XaraD2rUOxDVR69XqPbO3erp61BRRa1q3+214HVI9dqp0ofbvIKEjzer+USZms+GdGRTo7ZVNWvHyZA+6mhS/Xd3ewHF6RwTOdOuxlOJMGJYh19tV8SCjpHBsNpe3a+CrU0aON2pyoO1dr2wIuFe7X+6R4G79+joMxXSU0f0Z1XfUa893nEqZtzxfK16N5Z7vSdnps7RCCCAAAIIIIBAdgsQjMzu+qV0CCCAAAIIpK3AypUr5SMYmbb14zIWvRSRq6cF2axHYuvPpEO/qFWJjX8uu2+fek8e0IX/3CptbdGOO0qk/IB2PH1YerVZ3dblcKBXetEdXxhQWXm1BQX3qGqt3b6rWtXWJ9EFFKdzjFSqimTY0G/3SuNFHrDfh7TnXgsqFldoz/MVOnzcelDmxx/Ot2NL7NzSMhvKXqGmx6V9r3VbkL1bBw5KTd+3QCUbAggggAACCCCAwAiBRFNqxE7uIIAAAggggAAC8y1QWFiowch55UejXu+7+b4e6c9cwGfByKuvWTXzE2d1RmxAc+qAcH+hX9GQRRzXWyAyubnjylWUaMW6YdNus90VpYkgYmxX8t/pHJM8eJIbfks/4maKHH/b8heHFNzYruB6Gx6+6ZAOF49/HHsRQAABBBBAAIFcFqBnZC7XPmVHAAEEEEBgEQXy8vK0YmWhohdd7zO2dBRwdXPVVVctTNbyy1W1VWr5jfUstC38zn4VldZrxZYa6bkDCsZHUQdfa5EeqVJJIhg5F7mL9CrYY0FP2/ps3sl2+z1xyNE7bOQ/kVgg1X/7Nu2zgeSV323Qvl9sm1kaI1PkHgIIIIAAAgggkLUCBCOztmopGAIIIIAAAukvUBS4WiIYmZYVFR28KJ/lbMEWr7Fr1bx0VP5dlV5P2aLN9Xrx+D7d+u06HX1eqixyi9rYAjaPlarzWRuS7fJmP8mg4TgrfrvHpnNM2dZ9qnjuHi/90ud6bIh36fDCM5tS+2ragO7EBeP7/cXlCj5Zqeb3XUCyRDUv19nvGtVsLrHfbAgggAACCCCAAAKjBXxR20bv5D4CCCCAQHYKhEIhFRUVZWfhKFVGCgwMDOi/nfxQedfenJH5z+ZMXz4X1jX+PN16yy0LXsxI2AJ7NkTbn9r7sT8stztQHJif/AzaHJOWvhsaPuPNDQOP5zX4QqUqew8o+tPNEybzu/u/N+FjPDB7ga6G/bM/mTMRQAABBBCICyxbkqc/+4e0TefzCZHaxJvP65A2AggggAACCCAwRsD1ultiDb6hixH5ls0iCDQmRXbMlUDexfMqKlk9V8nNKB1/YJzngi1SEyicUTIzO9gWo/HPNn2vRR1R664C1drCNUdPTxyInFmmOBoBBBBAAAEEEMg+AXpGZl+dUiIEEEBgQgF6Rk5IwwOLKNDb26vPvzqvvKuuXcRccOlUATdEW1/16R985zupu7k9hUD4g26FistUVjxOMHWKc3kYAQQQQAABBBDIFQHmjMyVmqacCCCAAAIIpKnANddco2jkbJrmLjezFY3069prCQ7PtPYD68sJRM4UjeMRQAABBBBAIOcECEbmXJVTYAQQQAABBNJLYPny5VqxYqWGBghIpkvNRK0uiglGpkt1kA8EEEAAAQQQQCCrBJgzMquqk8IggAACCCCQmQLXX1esTz7rs6WPr8rMAmRRrl1QeMWKFfKPszp1FhVzUYvCAjYT859dt0Gf/plbkZxtpgI3BQpU9c3rZ3oaxyOAAAIIILDgAvSMXHByLogAAggggAACowXcKu950cu2kM3A6Ie4v8ACPhsyX3IDAY0FZudyCCCAAAIIIIBAzggQjMyZqqagCCCAAAIIpLdAyQ03yDfwdXpnMstzN3ThnPLzfLr66quzvKQUDwEEEEAAAQQQQGCxBAhGLpY810UAAQQQQACBEQLXXXedZKs4Ry9GRuznzsIJ+M5/rdKSGxbugll+pQhP5SyvYYqHAAIIIIAAArMRIBg5GzXOQQABBBBAAIF5EbixtEQaCM9L2iQ6ucCQraCdv0Ryq5uzzUYgotYKn5rftwjkYJ/2V/tUULBNQQKSs8HkHAQQQAABBBDIYgGCkVlcuRQNAQQQQACBTBNwvSOXuLkjI+cyLesZn1/f+bBW33hjxpdjMQvgZjyNxR5D6nizQp1nj6jCv5g54toIIIAAAggggED6CRCMTL86IUcIIIAAAgjktMDqm26S73wopw0WuvCXz4W1oqCAuSJHw1sPx+Yntsnn89nPNrWeiPfajfTowK7K2P7qBnWcSu3+GFH70/VqV1CVdzWqb3B0otxHAAEEEEAAAQRyW4BgZG7XP6VHAAEEEEAg7QQCgYBWrCjQ5X4CkgtROdHLgxrq/1I3r75pIS6XUdfofqVOO0/VaiAaVe/xKtVWNKlPYTVvvk3tGw9o4FJUXX8p3XNzQ0rQ0a+qH+5Rhf135NXdKsnPqCKTWQQQQAABBBBAYN4FCEbOOzEXQAABBBBAAIGZCtyyerWi50KKXro401M5fqYC/V/oxtJS+f2MJx5NV7p6i/RqrR79SbO68qvVe3afSiK9ajshVQTcUOx29fS7s/ar88zw2f6SUrn/ytYEhndyCwEEEEAAAQQQQMATIBjJEwEBBBBAAAEE0k5g+fLlWm0BSZ37Iu3ylk0ZGrLVs5f6oiq1YCTbWIHA3XsVOtmp6pKwDjyyQaVX7VR3/LAC1+Nx0IZnF27R4dYjKi8ce36EIdpjUdiDAAIIIIAAAjkvQDAy558CACCAAAIIIJCeAtdff71WLF9qw7W/TM8MZniuooMXdfnsGa259ZYML8n8ZT/4E59qj/tV88geHf7NMbtQpyKDfuvzKAXWbVH1AzWqWhfW9h1titCxdP4qgpQRQAABBBBAIKsEmMUmq6qTwiCAAAIIIJBdAmtuvVX/tatbQ0v9ylu+IrsKt9ilsUDkzdb7dMUKXCeqivLvH1Hvug3yPRw7ouIp1wOyTE3BFhVVFOnR+IkvHu9VubWqgyMS8ov45AgQ7iCAAAIIIIAAAp4AwUieCAgggAACCCCQtgJLly61efdu1Uc9PYpeY6tsL1matnnNpIxFLRC5auUKud6nbBML+NdWq/PSgMJhG46d71cgEAsv+jftsPlMaxTuj8hfGJA/3qLeEYzGEyvXkejhiRPmEQQQQAABBBBAIIcFGKadw5VP0RFAAAEEEMgEgauvvtpbYEVfn86E7KZ9Hi+fC2tpdFBlZWvSPq9pkUEXhCwOJAORyTx5wcnhQGRyPzcQQAABBBBAAAEEJhXwRW2b9AgeRAABBBDIGoFQKKSioqKsKQ8FyS2B33/yidcTzXc1vflmW/NDA/3ynftS69d/S26RIDYEEEAAAQQQQAABBBZagJ6RCy3O9RBAAAEEEEBgVgK33nKLLWizRG6IMdvMBYYunNfQ13/UN75xG4HImfNxBgIIIIAAAggggMAcCRCMnCNIkkEAAQQQQACB+RdY941vaHnekIbOfjH/F8uiKwxdHNDlcJ8FIr+hwsLCLCoZRUEAAQQQQAABBBDINAGGaWdajZFfBBBA4AoEGKZ9BXicmjYCboaZ//b3JxWJLlHeVdemTb7SNSNej0gLRN52220272EgXbOZU/n63f3fy6nyzqSwXQ37Z3K4d+wP/uTWGZ/DCQgggAACCCCweAL0jFw8e66MAAIIIIAAArMQ8Pl8+tY316nAekgyZHtywKHIOV0O9RKInJyJRxFAAAEEEEAAAQQWUIBg5AJicykEEEAAAQQQmBuBREBy5dI8Rb/6XKzHN9Z16PzXFqw9rW9+85v0iBzLwx4EEEAAAQQQQACBRRIgGLlI8FwWAQQQQAABBK5cYK0txlJ01Qop9JmigxevPMEsSWGo/wstuXhW67/1LV111VVZUiqKgQACCCCAAAIIIJANAgQjs6EWKQMCCCCAAAI5LHDLzTer9IbrdPnLP2go0p/DElJ06LL1FO3TyiVRbVi/XgUFBTntsRCFD38YVPBUZCEuxTUQQAABBBBAAIGsECAYmRXVSCEQQAABBBDIbYHrr79e69auVd75cM6utO3mhxz64pSuC6zyLJYsWZLbT4oFKn3vm5WqfKVnga7GZRBAAAEEEEAAgcwXIBiZ+XVICRBAAAEEEEDABNxw5G9vKNeq5TaPpOsleTF3eqsNnf3CArFf6rayNbrxxhtz6vnQ89p+NR5s1k5b2MjNJdr4RrdX/p43GrX9CfuxfQfet+fCmaAaKmLH+Crq1eH1Zoyo/SeNaj7YqErv/O1qez8c94uo44WdXpo+3zY1v9M3Jt2fHfw32vCY7X5yg37Z/ktt29Wq5Nnvt3r3c+dZGGfjFwIIIIAAAgggMIUAwcgpgHgYAQQQQAABBDJHwPUGvK2sTKtvLJFsYRsXpMvmxW1ivSE/VcCfr9u//W1dffXVmVNZc5TTSH+HGna1a/fpAYXea1HD/RvU+kFEkXCn2p5rUHVHl2rXh9V4XaX6nujUwKUBdT4p3XPzo+oZlMLHG7TzrRK1X4qqq61M2zfWqdsiiMEXtuueNzerdyCqUHeddm4uVdspjUj3L3/wVzr6TIX01BH9WdV31Huw1oKcsYJ1PF+r3o3l8s9ROUkGAQQQQAABBBDIFgGCkdlSk5QDAQQQQAABBJIC1157rW6//dsKFOQr+sWnGho4m3wsG25EL130VhHPj3ylsltv0Zo1tyovL0ebdRY4rGltUkWxX4Hbd6jzGanpLesdGYmo4vku1d1drsDHFrBUjfZ+v0L+fL8qvl+vOjWrw4KWA71Sy0/rVJIvlT/QoCa12f6wuv+2XRWbC9T1Vrs6P7W07IlzrNt6R6am6/ertKRUFaVl8vsr1PS4tO81u/Zgtw4ctHzY9dgQQAABBBBAAAEERgpYs4sNAQQQQAABBBDIPoH8/HytufVWnb3mrP7wWa8uhL5WtCCgPP/KjC1s9PIl6fxXFlztt+HYpbrhhhsytixzlvGIX5Ubi5LJRQbsZsnI/ogRb2e5LDYd2wbdQVJRwK+QqlViHWkTm8U2FXDHlXr/y/pYWvwxoIa2FpWWBaSPE0eO/b3lLw4puLFdwfU2/HvTIR0uHnsMexBAAAEEEEAAgVwXyNGv0HO92ik/AggggAACuSPg5pJc/61v6pabbtTSCxaQDH2WcatuRwetJ+TZM7p85pSKryrQd76zkUBk4ikciKjhLw/H5mrs71bzz6T6u8oSj3q//eu3WMixUUdOxGZ0DJ9ot36Re7TFgpAFpe2q//dB77jw++1eD8ot6wPyF0q9gXJV31ejmnvL1F5Tq56JBl1bb0m3+W/fpn2qV+V3G7TvF9smOto7ln8QQAABBBBAAIFcFUh8P5yr5afcCCCAAAIIIJAjAkVFRXI/4XBYfZ//UZEvQor6r7KeklfJl6YrT7s5IX0Xzip66YJusBXDr19XJlbJHv2EtS6MOqAi307vgQqbv/HF9X71/MZ6NiY6SOaXq7njRZVWFCl2lA3NDoa8odmyoKP+tlI+txCNbXvbulRuLeTylzp1rGh4f83zx7RjrdT9dkq6dry/uFzBXZVq3jqguttLVPNynRoeDqlmc0p3Sy9l/kEAAQQQQAABBBBwAj6b1D0KBQIIIIBAbgiEQiEvGJMbpaWUCEwucO7cOZ0+c0ZffvGllvhXKLpspXw2hNutyLyYW/RSRFELQkYv9Mu/3K/rryuWmwOTbXyBbltopuPuFu1eb4vR2JDtgAsuTrQNRiwYHZE/YD0fLeBoE0CqufpRVbYdUsVgWJF8258IYMbTcMFrv3/s/hGXsIVw5KXnFr6pVGXvAUV/unnEIal3fnf/91LvcjtFoKthf8q96d38wZ/cOr0DOQoBBBBAAAEE0kIg3mxKi7yQCQQQQAABBBBAYMEEVq5cKfdz6y236Msvv9QXX4Z09vPPlV+wUtGlBfIts5/8ZfOen+jQkKIXB+SzVZ6jF85rSf4SXev14rxRBQUF8379TL9AJNxjQUgrhS1MM2kg0hXUHWML3aRu4Tc7FXHBxEILOKY+EL8dsMDllFs8sNm6q0C1tnDN0dMTByKnTIsDEEAAAQQQQACBLBegZ2SWVzDFQwABBFIF6BmZqsFtBMYKDFlg8KuvvlLYfs6ePavLl4eUt8yvoSXL5Fu63IKTS21I99KxJ05zjws8ys3/aD++yxcl6wV5efCSBUULFbh6lVatWkUAcpqWicMiZ/oUKSyRrUUzqy3c12dDrUviPSVnlUTypPAH3QoVl6lsVMAzeQA3EEAAAQQQQAABBBimzXMAAQQQyCUBgpG5VNuUdS4ELl68KDec+9z58/b7vK2qHNGgBQ+XeEFJ6w7nWyLl5SkqG9ptw7sTc994A72jQ66hJQ1dtp9B+9+639kDy5Yv1wrr8VhovTJXrFjh9c6ci7ySBgIIIIAAAggggAACmSDAMO1MqCXyiAACCCCAAAKLIrBs2TK5H7fwDRsCCCCAAAIIIIAAAghcuQDByCs3JAUEEEAAAQQQQAABBKYtwAI241PNZvGa8VMaf2/B0iX6XsXq8R9kLwIIIIAAAggsmEDegl2JCyGAAAIIIIAAAggggAACCCCAAAIIIIBATgsQjMzp6qfwCCCAAAIIIIAAAggggAACCCCAAAIILJwAwciFs+ZKCCCAAAIIIIAAAggggAACCCCAAAII5LQAwcicrn4KjwACCCCAAAIIIDAfAt0Ht2nbwe75SJo0EUAAAQQQQACBjBYgGJnR1UfmEUAAAQQQQAABBNJRwO+XeiPpmDPyhAACCCCAAAIILK4AwcjF9efqCCCAAAIIIIAAAmkpEFHHCzvl8/nsZ5ua3+nzctnzRqO2P9Gg+mq336f6g8Fk7oO/avD2VT5Ur+Y32lVqAUk2BBBAAAEEEEAAgZEC+SPvcg8BBBBAAAEEEEAAAQSCL2zXPW/WqHfgkPwft6movFRFn0ZVHu5U23M9OnIypIZIu4o2Vmr7g1GV/aZelQ+HddT2b4h0qHrjfpXeiyMCCCCAAAIIIIDAaAGCkaNFuI8AAggggAACCCCQ4wIRdf9tuypqatX1Vrvkj6jCRI5196k8Yrefb1H12oDtqdEh+7fz44gG3t6v6pc/UlV8f/MzUh3DtHP8eUTxEUAAAQQQQGA8AYZpj6fCPgQQQAABBBBAAIHcFiiV7H9F7L9wJKCGthZtL3MByJFbwSa7nx9Rz9t2fKAg+aA/4MKXbAgggAACCCCAAAKjBQhGjhbhPgIIIIAAAggggECOC/jlL7QFaALlqr6vRjX3lqndekn2aOwkkAOelF9b/qJCzX9zRGF3P9Kt5seCzBmZ488iio8AAggggAAC4wsQjBzfhb0IIIAAAggggAACOSxQ81Knqh6rjC1gU7BBoeePacfaGEjqwjSuL6QLUZb/ZbuaeneqyC14Y8fvd/vHxi5jCfAvAggggAACCCCQwwK+qG05XH6KjgACCOSUQCgUUlFRUU6VmcIigAACVyIQDoctqBiYdmAxYser0I6fZGb2393/vSvJUtae29XgQrjztxUsXaLvVayevwuQMgIIIIAAAghMS2CSZtK0zucgBBBAAAEEEEAAAQSyViAQGDtP5GSF9c/w+MnS4jEEEEAAAQQQQCAbBegZmY21SpkQQACBCQToGTkBDLsRQAABBBBAAAEEEEAAAQQWRIA5IxeEmYsggAACCCCAAAIIIIAAAggggAACCCCAAMFIngMIIIAAAggggAACCCCAAAIIIIAAAgggsCACzBm5IMxcBAEEEEAAAQQQQACBmEAuLmBzZkuV/li1bUZPgR/8ya0zOp6DEUAAAQQQQCAzBOgZmRn1RC4RQAABBBBAAAEEEEAAAQQQQAABBBDIeAGCkRlfhRQAAQQQQAABBBBAAAEEEEAAAQQQQACBzBAgGJkZ9UQuEUAAAQQQQAABBBBAAAEEEEAAAQQQyHgBgpEZX4UUAAEEEEAAAQQQQGDWApGgtlc3KzLrBDgRAQQQQAABBBBAYCYCBCNnosWxCCCAAAIIIIAAAlkp4M/KUlEoBBBAAAEEEEAg/QQIRqZfnZAjBBBAAAEEEEAAgYUSyLcw5Jvtanxim3w+n3zVjeoOxy7e93aztrl99lP50H4FE/vfaVZlfP+2H7cpPBg7vuftA8n99QeP09tyoeqQ6yCAAAIIIIBARgkQjMyo6iKzCCCAAAIIIIAAAnMv0KaBu/ZpYCCkI5satGFHqyKD3aqu2qna7gFFowPat7peda92S7a/bvNO1bv9l3pV/bPt2vd2nyInDui2qg4d+NT2h7rk37VFj77RN/dZJUUEEEAAAQQQQCDDBQhGZngFkn0EEEAAAQQQQACBKxAYjFgPxr169IEK+f0BVT9x1HpKNql7sFwdJztV8mmHWg8eUPNzUqm7TH6Rttiv2u8/quY3ulR1sldN95ao5912aVOlQt0dan+3RwWbpOa3u64gY5yKAAIIIIAAAghkpwDByOysV0qFAAIIIIAAAgggME0B/6ZSBRLH5rsblQqc6VDRukodeKdHgY1V2v641OsdU6K9Z0Pq+kW1wr85oA3rSrXzFesx6TYXrbSVcCL9UsXTh3XkoTJvN/8ggAACCCCAAAIIDAsQjBy24BYCCCCAAAIIIIBArgnYnJGRE9bL8bexCSGDbxywHo5VKg27AOM+Nf/1blXfUarQB/GekeHj8l1VJ91Voz2/OKxjT1kPyFMRFRVbJLI3oC33VavmgSpF3tyu5p5cw6S8CCCAAAIIIIDA1ALed79TH8YRCCCAAAIIIIAAAghkp4BbSfvRO4v0qFe8Gh39tEb+4h7t0QYV+Rpsb4X2PFWn9l0b1HqXzSv5VI82LPXFMap1pLtcJeub1PKbIjs+looePKTeB+kZGUfiFwIIIIAAAgggkBTwRW1L3uMGAggggEBWC4RCIRUVFWV1GSkcAgggMFuBcDgsf2FA/pSv60fsc6tmxx+L9IcVsSHZ/sDI4yOWRsR6WwYKXYhz/O13939v/AeyeO+ZLVX6Y9W2GZXwB39y64yO52AEEEAAAQQQyAyBlKZWZmSYXCKAAAIIIIAAAgggMB8CAQssjt5G7EtpOXtBy8LRR8eDk2N3swcBBBBAAAEEEEAgLkDPSJ4KCCCAQA4J0DMyhyqboiKAAAIIIIAAAggggAACaSjAAjZpWClkCQEEEEAAAQQQQAABBBBAAAEEEEAAgWwUIBiZjbVKmRBAAAEEEEAAAQQQQAABBBBAAAEEEEhDgZSZb9Iwd2QJAQQQQAABBBBAAIEsE8iVBWwuFl2rD3f/OMtq78qLw8I8V25ICggggAACmS1Az8jMrj9yjwACCCCAAAIIIIAAAggggAACCCCAQMYIEIzMmKoiowgggAACCCCAAAIIIIAAAggggAACCGS2AMHIzK4/co8AAggggAACCCCAAAIIIIAAAggggEDGCBCMzJiqIqMIIIAAAggggAACkwtE1FrhU/P7kckPG/NoRAd8Pu0/McF5kaB8vkoFJ3h4THLsQAABBBBAAAEEEJhQgAVsJqThAQQQQAABBBBAAIHMEvB72Z15zNCv7e91Smtj548pc365uoItKpvg4THHswMBBBBAAAEEEEBgQgF6Rk5IwwMIIIAAAggggAACaS8w2KfWJ7ZZz0Wftj/RqMMnpERIsuOFnd5+n2+bmt/pSxYl+KuG+H6fGn4V9PZ3vXZYnWcsjNl3XPXWu9Kl56tuVPCMe7hX7S+3q3fQbg6G1frj2PVcb8nmt+Ppftiu7Q/VqyGel8pdrepzx7MhgAACCCCAAAIIjBAgGDmCgzsIIIAAAggggAACmSTQ/sNS1Z6q0UehkPbdJbXFMx98YbvueXOzegeiCnXXaefmUrWdksJvN6jy4W4d6x3QwMkjany4Uq2nIup5ulE9Foxs3bpFPU92KRqN6tjdh1X50w5LMaKW51oUtuBix9NFqj1TG0s3WK+dVbF0IxakbHt1vwq2NmngdKcqD9aq+UQ4kyjJKwIIIIAAAgggsCACBCMXhJmLIIAAAggggAACCMy9QJ+OHZRaflqnskBA5Q/sVpNdJGL/df9tuyo2F6jrrXZ1fhpRhe0/1t2njr9pVMVL+7S5xC//2mqFPv1I1cX24Cb7yferZKsFNHfUqvFgm/xbD2vg2Sp7QCq1/zTYo9af2fWe3CE7XYFNO3TkEan5zW47YsB+DmnPveXyF1doz/MVOny8x53KhgACCCCAAAIIIJAiQDAyBYObCCCAAAIIIIAAAhkkELHh05Zdf2Eiz34FEjctdmj/e4HJcCSghrYWbY9P+lgaG8ftHekvLLIgZOIkqeqZAX30XpNKwsdUt/E2FexI9LW0Y6z3Y6/9KklexNK3zo+lJZbG6M3vrp5yodGPcx8BBBBAAAEEEMhRAYKROVrxFBsBBBBAAAEEEMh4AX+5dluPxuY3YvM+Rj5o104rlPV59AKUvYFyVd9Xo5p7y9ReU6seC1WW31et9leCshiidOa4CoqK1BGf9lH6SvuXFuh4/hbV/ahJx47vlV7ttYBmfLPr1dr19r8Wu57OBNX8qlRdUZI4gt8IIIAAAggggAACUwikfA88xZE8jAACCCCAAAIIIIBAWgn4VffGUbXdXCnfruGMFVgLt+alTh0rsv2PxfbXPH9MO9ba7TXNevGNUhX5ar0H3P6a1VKrd+9qVb++V7eVFyj2qLTv9a5k/0YX5Nzx5lEdLh2+Xt3Lnd75kQ8sgU0FXiqJf1J7YCb28RsBBBBAAAEEEMh1AZ9Nzh3NdQTKjwACCOSKQMgWeCiyXkBsCCCAQFYJDEYUDkcUKA6MKVY4HJbfH7CfkQ9F+q2/o80ROXq/d1TE0nOPFwYUGHWe97gtZOPSlaUbSA4RH5n+ZPd+d//3Jns4ax67WHStPtz946wpz1wV5Ad/cutcJUU6CCCAAAIIZKQAPSMzstrINAIIIIAAAggggEBSwIKKgeLxooa2yIwtbDPe5i8c/3jvWItQBsaNUsZTshb0eIHP8a7DPgQQQAABBBBAAIGRAvSMHOnBPQQQQCCrBegZmdXVS+EQQAABBBBAAAEEEEAAgbQXYAGbtK8iMogAAggggAACCCCAAAIIIIAAAggggEB2CBCMzI56pBQIIIAAAggggAACCCCAAAIIIIAAAgikvQBzRqZ9FZFBBBBAAAEEEEAAgWwSyNYFbLoa9s9pNa27rlB/WnbtnKZJYggggAACCCCw+AL0jFz8OiAHCCCAAAIIIIAAAggggAACCCCAAAII5IQAwcicqGYKiQACCCCAAAIIIIAAAggggAACCCCAwOILEIxc/DogBwgggAACCCCAAAIIIIAAAggggAACCOSEAMHInKhmCokAAggggAACCCAwNwIRtVb41Px+ZOLkBsMKvhPUJEdMfC6PIIAAAggggAACWS5AMDLLK5jiIYAAAggggAACCMytwIAlN3mgsVeVmyvVPTi31yU1BBBAAAEEEEAgGwQIRmZDLVIGBBBAAAEEEEAAgUUQiKjjhZ3y+Xz2s03N7/RJgz1qvH+Dl5fKH7ZOEbRchCxzSQQQQAABBBBAYJEFCEYucgVweQQQQAABBBBAAIHMFAi+sF33vLlZvQNRhbrrtHNzqdr6yrTnpaOqsCIdebJG/swsGrlGAAEEEEAAAQTmTYBg5LzRkjACCCCAAAIIIIBA9gpE1P237arYXKCut9rV+WnEC0Ae6+6Tv6RUpapW2RpCkdlb/5QMAQQQQAABBGYrkD/bEzkPAQQQQAABBBBAAIGcFiiVBR3d/JH2XySghrYWlZYFbE/IY4m4OSNpbXsW/IMAAggggAACCCQEaB4lJPiNAAIIIIAAAggggMC0BfzyF0q9gXJV32eDsiPd2lmwQVUno9rspdFr80dOOzEORAABBBBAAAEEckaAYdo5U9UUFAEEEEAAAQQQQGAuBAosETcAu+alTlU9VhlbwMYCkaHnj2nHWncFv8oVVOVdzSxg4zjYEEAAAQQQQACBFAF6RqZgcBMBBBBAAAEEEEAAgckF/NoRjMYPqVBTNKqGcFh+f8B+4rvzy9R0KaqmyRPiUQQQQAABBBBAICcFCEbmZLVTaAQQQAABBBBAAIG5EggE3DyRozZa2aNAuIsAAggggAACCMQEfFHbwEAAAQQQyA2BUCikoqKi3CgspUQAAQQQQAABBBBAAAEEEEg7AeaMTLsqIUMIIIAAAggggAACCCCAAAIIIIAAAghkpwDByOysV0qFAAIIIIAAAggggAACCCCAAAIIIIBA2gkwm03aVQkZQgABBBBAAAEEEMhmgd/d/72sKV7/bev1yY5HZlSetdcVanPZtTM6h4MRQAABBBBAIHsE6BmZPXVJSRBAAAEEEEAAAQQQQAABBBBAAAEEEEhrAYKRaV09ZA4BBBBAAAEEEEAAAQQQQAABBBBAAIHsESAYmT11SUkQQAABBBBAAAEEEEAAAQQQQAABBBBIawGCkWldPWQOAQQQQAABBBBAIPMEImqt8Kn5/UjmZZ0cI4AAAggggAAC8yxAMHKegUkeAQQQQAABBBBAIPcEBqzIhCJzr94pMQIIIIAAAghMLUAwcmojjkAAAQQQQAABBBBIM4Ge1/ar8WCzdvp88tlP4xvdyRz2vH1AlfH99QePx4KCH7Zr+0MNanjIp20v2LF9x1VvvRfdub7qRgXPxE4Pn2jVtvi5lbua1eciioM9anxouxp+vDN2vK9ex/tix0dOdai+Op5OxU61vR9O5oMbCCCAAAIIIIAAAmMFCEaONWEPAggggAACCCCAQJoLRPo71LCrXbtPDyj03v/P3pvAR13f+f+vOZLM5JxAAgl3kCuILYmKgtVWaLsVtP0LaivUXiDd/up2/61s92fN+vjXQrvbQttVWbdq3G4tuFtLrAexXZdYWwVblaBgAoKEO4EcMznnyBz/9+ebwwRmJtdM5jszr48OM/P5fr6f4/mZmcy8vu9jB8o+uxA7D7vgOrAds5dXYftpJwL2Glg2LsM9LzTA5XWg4pktaPjUHpTfVYSdNy1D3XdrEAgEsPfGXSj9YRXQVIXcknVY92Y9At12bMIGFH6pQki4sP+ZClRa18LeXo8dd2/Dssertfod01eg7q6efo4/aMOau3bRIlLnrx1OjwRIgARIgARIILYEKEbGlj9HJwESIAESIAESIAESGA0BsVhcvXMrSvIssC1ai/0PAltfrkXdm5XA4lLYa6tQ+WYdrIuB8ldqZATlOP0EHrl7OQpsFhTcBFSsXSfWlRWw3LQLzh8vR92fdwI37cDaqwoAsw1rH9gFPFOOWhnLhZUov285bJkFWP2tR4AH9kudBesbj2NTQT0qnipH+VPbgELraFbDc0iABEiABEiABEggaQhQjEyareZCSYAESIAESIAESCCBCLgsKC3K7V+QS2mNFkvP80K5UwJiB1AiguLuO4r62/U9WP6gE8cPbkWBYy/WXzEb1rUVcDXVAwtEiOwv0gmKkWvurfD23pt7x/E2YEv+bCx7VFzBCxZi1Z33AvVqIiwkQAIkQAIkQAIkQAKhCPR9tQp1nPUkMGoCPp8PTqcTLpcLTrm5XG54PB50d3fD75Nv81o8JiMMRqWJG3rHCUD8peR/PwJ+vxaXyWROQUpKCtLSUmGVHxkWuVmtVu1+1JPjiSRAAiRAAiRAAvFNwOZC2Td24ZvV62HrqEX5j4BNtUXIrRUlst6GZbeshE0UyYqNVuy48TiWlwxcrgPbUnJRWOvE+n9YjnXXy3eLpfUofHA1sHE7qh9YjhIbUP3sDuDub6Ig1Ddmbz3EdhJ7Hrsfy6X9voc3y7PigQPxMQmQAAmQAAmQAAmQwEUEQn21uqgZn5LA0ASU6NjR0YG29nZ0dnah2+OGKVUsB0wp8MvNYLLAkJ4p4qMJJqNZaZFDFk2UFFHT7ffCLQJmW5sTBnsbAl6PJmharenIyspEVqbcsrJg1ITNIbtlAxIgARIgARIggbgnoMwftyPXsEFbScl9u/HIArlouWArdvw5V+rv6Vnh7U+g/naxjDwmT8Vlu6fYsPr5+zG72Ip1vTWbn6+BbUEx9jxUidLcvi8p67HfvlJaSMIbccnutYfsOWOxuGNbilH2bWBFb/vV374XJQc2YN1TV2JNb7+8IwESIAESIAESIAESGEzAIEG7xRSNhQRGR6C1tRUORyta21rh9wdgSLUiYE6TexEezamj63SYZynLyUC3W24uGL0ueN1OpKdnINeWA5vNRsvJYXJks+QiYLfbkZv7oVtjcq2eqyUBEkgkArUPr0HVjTvwzQWAQ1y2bZmDV+dyOOASd2pb5iAJ8aJGLjg6xBU70wYJI/lh6XBIn4AtT8wdh1HUWLCo7x7SuN+VO/SJb3/2ttAH4+xIx+wFOLX27hHNek5+JpYWTRzROWxMAiRAAiRAAiSQOARoGZk4ezluK2lra0NzS4uIkA4YU9LgT7HCmD0Zxl7xsc+WINoTUu7dhjSxSlA3KSlyc7u70ODoQMP5CzCbzcibOAETJkxAamp0hVFtAvyHBEiABEiABEhg3Ai4HHWaYAhNcLx0WIu6MHlp9eAaUQ9tmoI4uFoTJy8SNy9qMeipGqu/8Nt1Pwo+IAESIAESIAESIIFgBGgZGYwK6y4h4PV60dTUhAuNTRD7RwTSMmCwiMu1Sb/fuP0ecel2d8Lv7ECGuHFPys/TLCYvWRwrSCCJCNAyMok2m0slgQQn4GpqgEsyWw+yaEzwNXN5JEACJEACJEACJJAIBChGJsIuRnENKgHNebEybG5ugjkjR1yQRIBMGdLOIIozGl3Xfmc7DK52GOHH5EmTMEluLCSQjAQoRibjrnPNJEACJEACJEACJEACJEACJKAfAhQj9bMXuppJV1cX6hsaJGFMO2DNhjE9pzfrta6mOeLJ+D0uESUlAY5YTRZMnoyCgoIR98ETSCCeCVCMjOfdG9ncu7u7oS4oqVuX3NxuNzweD5SluypGSSYmH+ySTEyCa/RlFJMw0loo6YBf4gD7tHZmc4oW6sJiSUO61arF401PT9dCYWgN+A8JkAAJkAAJkAAJkAAJkAAJjIAAxcgRwEqGpurH6rlz9XBIYhqIAGnKGBADKYEAqMQ3cMoaRZycMqUQ+fn5CbQ6LoUEQhOgGBmaTbwfcblcaG9vl4Ri7ejslBAVIiaquL4Bk8TMNUlUXREVDUYJrSHhNTQBchgL1oRJnxcBucHXrd0MPg/8Hrd0Y0JGRiZysrOQKaEwLMHi7g1jDDYhgWQkkEgJbBqv/xQaP/6ZEW3jXUtmjqg9G5MACZAACZAACSQWAf0G/EssznGxmnPnzqG+vh7GzFwY82YM+8dqXCzuokka5Ac6UiZpmbjPNTbjfGMjpk+dipwccUVnIYE4JaAs4dQFBXWvbsoCzufzaZnuxd5NW1W7CFXK8lkleFI3ldxJ3dLS5D3BEncEVEIxlUxMXUDy+yWiryT0CkgyD0NOgYiFKq2XGD2OYVWaaKlETK2vnmRhqjuxqUTA2432bhc6Gu0InD0Hk8kIW45NsrXbNHFyDMPyVBIgARIgARIgARIgARIggQQmQDEygTd3uEtTP2RPnzkDvykN5vyZuk5KM9w1DbedFv9SfrR7XR2oO3kK2VmZmDF9Ot0PhwuQ7WJGQImOHR0d6BALuM7OLrjFKk652hqVaCTWbwFxwQ1oLrjGXhfcHkmqzROAt8MDQ0BCFogrLvxi9Saikk8s31JFkEy3piMrM0Ms3npuMVsgBw5JQInJzc3NaGmxa1aO/tR0GLMny7aLBaSUsYiPIQcNckAJlJpIac3SxvSLxXmTzK3FcVKUSj8mTpyAiRMmwCqu3SwkQAIkQAIkQAIkQAIkQAIk0EeAYmQfiSS89/v9OHXqNBxiWYPM3l7L+AAAQABJREFUCTBKhuxkLUZJzKOS87R1tODgoUOaIDlx4sRkxcF165SAZgHnaEVbe1uPFVyqRVxwxaLRYhOL5tRBcV2VIOURwfL0yTrUnzmNBrlvOt+A+sYLmJCZheyUFGQYjbBKwzSRkkzKqk4EpIC49noDPrjlvkusKt3iiusWkdMnbQvkPTFFLIhnXHYZZs2ahcvkXllXsowPASVAXmhs0qxfA/J5ZbQVamKgslLUQ1EW5yZldY5csTr3oEnE8sbG9zUxcvKkfLGYzNXDNDkHEiABEiABEiABEiABEiCBGBPgr8gYb0CshleufSdOnoQ/RSxqJk6P1TR0N65RRFllZXTmXIMWd23WzBmS5EEsy1hIIEYEWsX9trmlRXPFNSnxUd6zhjBWcGdOnsCxIzWoe+8g6i9cwHSJ5TdV5n65iIb5qWnInjIN1tQe990hl6SSmYggaRDrSbfXg9b2DrS9fxT1J07gbTl2Uj5H5s6cictLSrBo0SJMF6tilsgSUDEbL8g+Npy/oMV8DKRlwZg1ObKDRKE3Q4qI4ykTtAtdLrE8PyWfqafPnEVhwWTG6I0Cb3Y5SgKOOuw7YcXSxcNNZufCzhIrnE85sQ7lsF4h4acD34TrWDXqLMUomWYZ5UR4GgmQAAmQAAmQAAkkFwGKkcm139pqVVxI9cPWkJUHoyV5rSFDbb1RBB9MmCrWZ8049F4NZhfNYvyzULBYHxUCKs5jo8QxVVZwytU6IFbLJhXHVVyvlcXjxeWcWD7WVL+FmgP7oX4KzzWZsELiQM6aMuWS9h6PJCEZbhGLSINm+WhGmrwv8sWVe5IkMfG7PbhOXLrNkwpwRtzEP/jjH/Ha/7wMs9WCK6+5BlcvWYLCwsLhjsJ2IQicP38e9Q0NMKSKm3P2JBH3lA1r/JU+y3O/JAw719iCc/UNmFJYQFEy/rYy8WbcUIllJRJVQATF4RanNJSgGLDMWoP9B+VeHte9VIpSVw0C/1A83G7YjgRIgARIgARIgASSmgBNvpJo+5Vb9tFjH+CCvRXGCdMoRA6x98asifBbbXj//fc1YWiI5jxMAmMm4PF4cPr0Gbzzzjs4b29HQC4YGHKnwCiZ7ZUQeXE58OZf8Muf/wQV5Y8i5d0DWCtxHr9hs+GTWVkoErEw0sKVQbIwQ4QxJS65fUCnWEbmizC5XITKeyQ24C1y3L53L7b98z/jZ//yL3jrrbcunjKfD4NAi1jCvnvwEBqaW7VENIZeIXIYp+q6ibrQY8gRq86sfBEl1cWe96Cyu7OQwIgIeOuw5Y41KPveBi3RnsGwCfsaentw1WH7xtKe+pVlqDqjZEMXKr6zARXH1GMpZyqx5jsVcMn9quJ7pOIebHi6FnUvbJF6uclFmO2HXHK8CptWygUZdVGmRM4/5NBO7//HsR87nq1Bw8tbsPBbUvvdhfjPyv/Eqo070dfSdWin9rx35P5T+YAESIAESIAESIAEkp0AxcgkeQU4nU7U1Nai0yvJDSRhi0Esp1iGJmC0ZsI0cRrONVzAqdOnhz6BLUhgFASUJeQZSSJ18OBBNHe6e6wgs/PFEk7Z3AwuPsmQ/fof9+Dn378fR15+CR/zuPH3EyZieXY2JkscyHEp6se5csOV94dX8iq3tbejTdzJJ0tIg09LPMp78/JxucS2rPrNb/BP//h/8UexnGQZmoBKTHNE3OBPi0uzP2OifFb3WEMOfWZ8tTBooqQkDpOLPafOnJOLZMfgUgmYWEhgWARc2P9MBSqta2Fvr8eOu7dh2ePVcqYD5Utno/KK7XB2B1DzDWDF9DI0yPce+yvlqO/o6dwlrtkVPxMRfNpKPFK1WSrvx/23FsMl4mLFz8qwsqoG6xYAO6avQN1dYu0ooRKOP2jDmrt2aRaRfVN0Oeqx7YE62G68F3seFPPK+3bj88s/gvrH14kI2tOq6qF1qL+iWLOe7DuP9yRAAiRAAiRAAiRAAhKBihASn4CKD/nB8eMwZEiSmvTsxF9whFdokAy1AbFOs7ddgOeDDzBHknawkECkCKh4gGfPndOsDYfKZr/vT69g757/wVyLBWslFmShuGLHumjZlCWrcrckLGkVATLNkoaM9AxckZ4OCaeGk5JE568vvYT/2b0bN332s7j++utjPWVdjq/CZ9SL+7IxSz6nc0WI1uUsIzspLWmahCDo6HTgPbGSnDZtGiZP1n88zMhSYG+jIeDCSpTftxw2+Ra7+luPAFfsh+sfLKg4AJTY7Kh6qRLQxMdt2N+kBEcpfd94zR9e5CmScAFYDBRKVZ0I4iUP1WD9jT2u1usbj2PhQREun9qL/S9sk0Y7evrp+3dAf4UFhShxFcEicSO3fhvY9GwtVosYuv1xYGujCJUsJEACJEACJEACJEACgwj0fZUaVMkniUNAucAdr6uDSVzjGB9y9Puq3LQgDDvbm1B75AjmzZkDE61LRw+UZ6JTYi2eFGvbbj96siJrWYiDg3nvnWq8uvt5TDYEcFd2joiQ42QBGXw6QWuVpSREuHd73XCLm3FGZob8MLdgpriLq5sSJV9/8UX8ec8efPa227SEN0E7SrJKZQ154tQpeR1IRvO86WK1nnx/lk0Zkg1eRMmGpmbYRdBWicPUa4eFBMISEItHTWDsExd73zpWde8VS9vMZdi1czeKM4H6AR1ZBrzFNHtcETAvKd4GbMmfjbLbN4vl5XKsuvNebHlQRYscuiz72hOovqIS1QtcqFz8BHblDX0OW5AACZAACZAACZBAshEY8JUs2Zae+Ottbm7WXItNKuacuMWxjJ2ASvrj7mjB4SPvY97cOUgZL7fYsU+dPeiIgGYFJ4lJjJkTxRIutLWyo6UZ//u738Jx9gw+I+KMsojUdRHNXiVZgdGMri4nVAzMTLHgVBnp+0TJQyK+7Swvx3zJvn3bF76ADIlzmaxFJSk6JUKkSVzyw70OkoGPZmFrK4BTrCRVSJGZM2Zg4sSJybB0rjFiBCxQabNsc5dh5VU2uA7vhLW4CjXdywERHOvqHcCiAlQ9vQG4qdfKUQma4nx9SZAAbz12yZE9j92P5TZg38Ob5dkQyWl6Qw1YFq3CZplJ6aeBzVX1dNFWiFlIgARIgARIgARI4CICjBl5EZBEedojRJ7RLK4oREZ2V42ZE+AxWXDk6FF4JX4fCwkMl4AS5w5LQqQL9jaJRTo9bNiE/X/Zh0e3/giFDfX4uiSl0b0QORCCshpOS9esPpV1tkesIvvKInHfvkdiXBpE0P//ysqSNsnNiZMntVi0ZolJy/AZfa8OQFlJmmyFOH22HqcljioLCQQnYBks8i22ipVkEbZW78A9V+dqSWesxevwyL7NKBbLyeXPb8a2Txdq9dtOr0aJWEuqYrHlyr/3YN3jtdpz5a6tFXG3LhN36xW5PQlsttYVo+TABqx76jBkpA/HVuOq53nFqP5uKcol8Q1QgNW/Wi/3q7F6aYE6zEICJEACJEACJEACJHARAYME5g5cVMencU5AZWI9KdY2RvlBp1kpxfl69Dp9X4cdqX4XFsybR5dtvW6SjubVKgle6upOICCZsZXgEqoogfvF/3oK9hN1uMlqxdQIx4X0eLqROo5u3gGfCPbdLlhlLekiRA4sx8WSqNLZhSuuvBJfWLdu4KGEfdzd3Y1jEsPX4zfCIBaRLMEJaF9NJE6vNcWEy2YX8TM2OCbWBiMgLtqODhcsmTYMdMmWLEliASkiZp/g2Hdu3zXFIL5CLodYU1qkH3VOmHZaV+p4bx/VD5eitH47Aj9c2jfKJfdvf/a2S+ritaLx+k+h8eOfGdH071oyc0Tt2ZgESIAESIAESCCxCNAyMrH2E0rwOHHiBIwqY3aYGHQJtuyYLMeUmYtuY5pkgv0gJuNz0PghoJLUqNitEPEpnBB57sxplG/7EdLlYsKGnJyIC5GxIKZiIBokHqDL5UZ7W/ugKcyWX/h/m5ML+7vv4sebN6OpqWnQ8UR7ouJD1h4+LIKIZCKnEBl2e1WcXoPE6e0S0bb28BFm2w5LiwcHERBLSJtYkw8SIlUD+by5RIhU9UpADCJEqkMW1U+feBmmnWrb04cLOzcaUPqtauz5TmghUmvPf0iABEiABEiABEggiQnQMjKBNl/90D0syVWMKlmNuEiyjA+BgCS1yUw1ivXO7PEZkKPEFYEzZ8+iuUWsa7InQYuLF2L2Ne8ewLNPP4WbRYQsjWIcxfG2jBy0XLGQVFfAcrKzYTAOzhf9ens73pCM3Bu+/nUsWLBg0GmJ8KRd1ndMLlwYsiROqDUrEZY0bmvwd7UCcps757KkjjE6bsA50JgIOA7Xwp5XhKK8PhVzTN3xZBIgARIgARIgARJISAIUIxNkW5VrZ03tYfitOfyhG4M9DbQ2YGJOFqZNnRqD0TmkXgmouICtHZKBNUeESENoQ/S/7v0zXv/9bqwRka5IMk9Hs8RUjJSFBbrdMAZ8yBHRVSW2GVhqxGX7txJm4qtf+xqWLFky8FBcP1YW68eOHZNYiAUwWpI3Yc9YNtHvbEegvRlzRJDMyqKYOxaWPJcESIAESIAESIAESIAEYk2AYmSsdyBC4x95/yicAZNk550QoR7ZzUgIBAJ+BFrOYdqUAuTl5Y3kVLZNUAJ1J06irculuZqGW+JrVS/j0Gt/xOclq3aeOYSvYLgORngs1mKkmm5ALCANfi9sOdkwqmQ3A8opSXbzm7ZWfO6223DDDTcMOBKfD/uFyNxCWqyPcQv9rg742xoxb+5cLUv7GLvj6SRAAiRAAiRAAiRAAiRAAjEiQDEyRuAjOazmBtraMaToEckx2delBJTFl7f5DIqLiy9J1HFpa9YkMoGTJ0/B0ekc8j35p//9A97f9xrWiqVX1kWiXLT46EGMVGtTgqRRCZK2HHHZHmwheV6O/Ze4NX/mc5/DJz7xiWihiHq/yjX7/aNHeywiGTojIryVIBloa8L8+fP4ORsRouwkVgQSKYFNTdm2WGEc07hMojMmfDyZBEiABEiABMZEYPAvwDF1xZNjQcBut0vSh2Ygi1lZY8F/4JgqYZApJx/HJWMyS/ISOCsxIh0dnUMKka//cQ+OiBD5RbGIHC8hUk+7YkhJhd9oQmtb2yXTmizH1gqXl559Fq+//volx+OhQsXwPfbBB/KZwBi+kdwvoyVTi7t5VNze3WJFy0ICJEACJEACJEACJEACJBB/BChGxt+e9c+4u7sbygJLCZEXWxb1N+KDcSVgtGbDZ0rFScmGzJJ8BFTW7KYWuySrmRx28W//ZS/eebUKd4pFZIYpeT+GlYDvhwFtQQTJ/JQUfD47B888/TSqq6vD8tTbQRXD99gHx2HImMAYkVHYHJUAKGDJ1hj7/f4ojMAuSYAESIAESIAESIAESIAEokkgeX8FR5PqOPV98tRpQH6UGdOs4zQihxkWgcyJsDta4XBIBmWWpCGgYgOePXtOEyLDXRx4v/Y9VL3wO9whQmTOOLlm63oTUizw+vzo7Oy8ZJqFqam4PceGxx97DHV1dZcc12uFEiJ9qRkwpmfrdYpxPy9jhg3dxlR8cDx+XhdxD50LIAESIAESIAESIAESIIEIEaAYGSGQ491Nc3MzOp0uJqwZb/DDGM9gMAAiSCqxmFY7wwCWAE08Hg/qTpwQ12zJmm1OCbmipsYLeG7nf2KNZJKeLJZ/LL0EUqxwudxwy+3iMttiwS0iSD75778IKlhe3D7Wz0+JVbRbjPVMmbmxnkrCj2/Mmogujxdnz8lFABYSiAYBRx32HWiIRs/skwRIgARIgARIgASSmgDFyDjcfp/Ph9OnzyAgLoAs+iRgVMkqUq1QyYVYEp+Aypyt3Ea1fQ+z3Bd2/BKfSM/AXBHYWAYQEP0eYiHZ3tEOn9c34EDPw8UZGZgv7rj/+fjjlxzTU4W6SGRvlRiYjOE7ftuSlYfGxiao+MksJBBxAg2VWFayK+LdskMSIAESIAESIAESSHYCFCPj8BWgCVwSxN+YSkFD19uXOQHNzS1xYc2la446n1xDQwNcIqANZQn3+2efQZ7TiWszM3W+othMzyAu6wZzmgiSHUEnsCI7G876erz00ktBj8e60uVySQzfkz0xfJV1NMu4EDBIEiQl/qr4ySqOMkuCEHDVYfvGUihPA8PKMlSdcfUsrKkaZSVS11tf3Wu0WP10WU+d1G96vAo9rV3Y9/im/vqypyX2rKsWm0o2obrvY6ajWnteK+/fS9qeqcSq4ntk3Huw4elauXeh6uENvf2tQvkbPYPXvbAFazaWYYM2r1XY+XJV/9zX/KQqQTaEyyABEiABEiABEiCByBKgGBlZnlHvTcVVa5EEGQYRulj0TcBgMEoCi1ycPkPrSH3v1OhnpzImn1Muopl5YTupPfgOjr97ADeLhR9LaAJahu1AAM4uZ9BGKy1W/P7F3TgmmZT1Vk6IGGaU8AwqKQ/L+BJQcZMDEj9Z7QFLIhBwoHzpbFResR3O7gBqvgGsmF6GBm8DyvJLUf21vVJvx+7FW1D6tQo4XilD6doG7K93ItC4H9i4Avc8K7FED1dg2UYHatoDUr8XlWtLUdVRhGJsw+aXe2KNNryyHdsOFKPoRJC2lpV4pGqzAL0f999ajOqH12DFS0tR7wzAXrseG5YWouKMSJSO/ah4vBbrX7CjpqIE6z69Aq47d8F+eg/qvrsCOw/3CqmJsDVcAwmQAAmQAAmQAAlEiADFyAiBHK9uzojwYZDA/VpcwvEalOOMmoBKYOHu9tKFcNQE9X3iydOnYRQ3UYPJHHKiHo8b/yNWkZ9JT4eZFnMhOfUfEOvIzs6OoO7aNrMZn5HEP7/59a/7m+vhwfnz5+GWJDzGjBw9TCcp52CSC3RdEnO0qakpKdefUIt21aPiAFBis6PqpUrUaVaM27D/zSpswUps/cZSWMw2rHzQjuMPLUfVo1uweuf9KCkQb5G8EmyqWI/yB/fBlVcgWMqx7jtbUHHQgl0iVi7Ps2DVj+9Fxeoei8WqB8px7/+sgiVoW6CoUPpYXIRCiwu1T1aiZKkVNS9XYv9pF0qk9721Yh0pVpUlj23G0mk2FBcvlNrNWH9jEWzTlmPTYsDuTajd4WJIgARIgARIgARIICIEKEZGBOP4dKKy9aokD8Z0/uAdH+KRGSWQbpMEC/WR6Yy96IZAY2MjPF4RoIbImLxHMmcXS1Ibxokc5tYZxaJY4kcGy66telDxI7PE3b2ysnKYHUa3mXLPPnNGzKMyJkZ3IPY+NAGxTFXxlOmuPTQqXbfovbZjVfdesSrMXIZdO3ejWDMsF8Gxv1iQaxOx76iIhnnW/lqpAa62icC4HM7G49h6UwH2Proeswut2HnMhYLr14mkuR2VByqx9cBKrLteBMcQbWV0QIRRrRQC8r84a7vgcNlQVrEDa4pkAqpoDdWdWHUvLkDPLLVnPcf5LwmQAAmQAAmQAAmQwCACFCMH4dD3k3P1DeKK1vvFV99T5ewGEFBJTXwwSvzI5gG1fBjPBFSWdC2Dr7jhhyun6o7j8DvV+GQm3bPDcbr4mHLX7vZ5obKUByvLxV37ueeew4ULF4IdHtc6FYZBZXUOl0V9XCeUxIMpF3mDXBw4w9AYcf4qsGiin23uMqy8dTWWz3VgzdoKuOaViIhYgb2HHNr69v3MitwvVWHZ/1mJbT+rglbrdWD3gxVYf1MpHG9sgfVL+7Ds1vXY+psqsVcE6pWVpaUE995XjVUlq1D94L0oEeUwZFvNqlHJjxZIqG7U24qx8pbVWP2pIlSuXoe6XtmxH7hqf6D/GR+QAAmQAAmQAAmQAAmEINB7/TnEUVbrhoCyivSIu68xi8kvdLMpI5hIwJqNekl0MnEiradGgE23TVXSGkNahmbBF26Sr+5+DsvFPTuF7tnhMAU/prlrdyI1NfWS4xPEXftGSWjzYsWz+Nrffv2S4+NV4XA40CVWmqYJ08ZrSI4zBAGjuGu3Np1Ce3s7ssSlnyUOCZiLsLV6B3JLciV1TE95ZF89ii0FKK96BIVSv0GrXo099atRnLcMjzxbiFzDup7Gd++A/dYC2Fyrcf9LC2Htq1+8GTULemwWl31pB/Cjddhx+zLtHNvi4G0tTeqC0xqse3w5dj+2H3tzJanOt3qGWf3QXqydA9S+IhaTfQabZrHQXPxhzNuB9po9Z/FfEiABEiABEiABEiABRcAQkEIU+idw5P2jcBotMEqQfpb4JBBw1GPGlALk5oa3povP1SXPrL1eL959912Y8maEjRVZIwlr/vJ8BTbk6CusgsfTLQJfSnxsmLsLGSLmplmCJ4X5ucQHvPvv7sGcOaIIxKAceq8GXksOjBZavsYAf8gh/c52pHm7ULxgfsg2PBAHBMRF29EhNomZ4nI98NK51Et0BKnvUwB71uKSiwPKgtFmC1LvlXqJF9lXXAe2w1rigD1wPwb6m2h9XNQWfTEfe+egLkJYLDKnD7vr63ZE929/9rYRtddz45qybXqeXsi53bVkZshjPEACJEACJEACJBBdAnTTji7fiPSuMvY6xfqGQmREcMask4AlCw3nY+9WGjMACTKwSlai4kSGS1qjlrrv5ZdwXRCrvgTBMC7LCJhTxfKwK+RY14ka8IcXXgh5PJoHVKIUFX6BQmQ0KY+ub/W30uP1MXHY6PDp5yyzEhYvEiLV7KT+YiFSVVuk7cVCZH/9ACGy9ukNIkTeg81V3xwkRAZrq+qgRMgBYqg2pzEKkVq//IcESIAESIAESIAEkpjAgK9XSUxB50u/IIkylJDFEt8EjBJwyt1p1xJzZEgSDpb4I6BiRao4hcYh3HKVVaTZ5URxtr6sIuONuBJ8A14PPG43UtMutY68OjMT+06dwgcffIDLLrtsXJenxfCVhCmGcR2Vgw2XQMCaA7VHtEQfLrHkaVd04/2oOboVxXMG2kSO//qvfP634z9olEa8Mkr9slsSIAESIAESIIHEJUDLSJ3vrRI/WiTxyVAZe3W+DE6vl0AgLRONTc3kEacElDWcsoQbKlnJW6/uwRKx6mMZO4GAKUWsI3tT1Qbp7mqxPq36wx+CHIlelXodBEQoNaYyIlz0KI+tZ/U+9foDtI4cG8aEPNtSUBRzITIhwXJRJEACJEACJEACJDACAhQjRwArFk1bWlpgEos6g9EUi+E5ZoQJKPdBe0szGKo1wmDHqbvhWCmfPlGHDnsLFqVTqIrEtijh1ydxOtUtWLk6PRMH33tvXLPVq3ALAYkVyaJvAipxGENj6HuPODsSIAESIAESIAESIIHkJEA3bZ3ve6NYRSprOroC6nyjhjk95XZqTLNq1joTJkwY5llspgcCKjuvTyythrKGe+eN11EqAhpLBAkIT5fLjYzMS/9kmY0GlIi79t69e3HLLbdEcNDgXbW2tsInad/U+5hF3wT6QmN0dHQgU14jLCSgJwLJnsCGyWP09GrkXEiABEiABEhg/AnQMnL8mQ97RI/HA5dKXMNMrcNmFg8NA6kZaBaLV5b4IqD2zC8XBsKVnkzb1fioZIBmiRwBg7hqu92hXbU/mpqGN/70p8gNGKan8xcYwzcMHv0dknjLyqKZhQRIgARIgARIgARIgARIQD8EKEbqZy8umYnD4RDrGyY6uQRMnFcYRFxuE+sqFQ+UJX4IOOzyfpSQCeFKzbvVmJuZhUwTwyqE4zTiY0b5U2UwotvTHfTUQokbaQkEcPjw4aDHI1XplkQ6nWJlp8ItsMQHAYO4atvlQoLP54uPCXOWJEACJEACJEACJEACJJAEBChG6niTW0T8CKTSwkrHWzSqqRlEVDFbM6DcPVnig0BbW5uWtEa52YcrtW+/iYUUIsMhGvWxgNEMt8cd8vwF8r7a/+abIY9H4oCK4WuwhhekIzEO+4gcAYMI2eb0LKi9YyEBEiABEiABEiABEiABEtAHAYqR+tiHS2ahrOY6O9phSKMYeQmcBKgIpFjhcFCMjJetdChLVtmzcEW5aB/94CjmW8O3C9cHj4UmoIRgFboiVFHc333nnVCHI1KvhVcYwlU/IgOxk4gSUHGXm5opRkYUaqJ05qqGwVCK6tBRIIa1UtfhchhKyjHGboY1FhuRAAmQAAmQAAmQQCIQoBip011Ullhmcec1GJi6RqdbNKZpGcTita29bUx98OTxI9Aq70fjEBcGPnj/MIqyc5DG92x0NkYs3FQWep83uLttfkoKUuQizsmTJ6MyfldXF7w+vyQwskSlf3YaPQLqvetyOcOK2dEbnT3rmoC5GDXVO1Acibf1AV2vlJMjARIgARIgARIgAV0RoBipq+34cDJtkrnXnxKJb8cf9slH+iFgkOzAoqvID2TaUehnV4LPpLu7G165GVLSgjfora07UovLwrbgwbESMIirdrc3eNxI1fdsESSjFTdSC6vAsBlj3cKYna/iL6s4zCxJTKBhHzaVGLSLvIaVW1DdpFjUo/JXlaj3AnUvbMGajWXYoLVZhZ0vV2H7xlKt/ZqfVPWAO1aJsp+UY1tf/Q8qMfBV5Tq8E6s27uyvcx3qec6/9En8uuPSSYAESIAESIAEghKgGBkUS+wr29slSQLFyNhvRBRnYEi1okOSYbDom4DaI6Ps1VDl9LH3MTMtvGA5VB88Hp5AwGgKmcRGnTlD4nW+f+hQ+E5GebRFCVlDWMeOsmueNg4EVPxlO0NjjANpvQ7hws6blqHuuzWahfXeG3eh9IdKYHRhx892wCFipMuxHxWP12L9C3bUVJRg3adXwHXnLthP75HzVmDnYRdcXge2fHcDbBsrEbDXoOiBVVj3VG3/oi2zilH/+DpUnempqnpoHeqvKAYvLfcj4gMSIAESIAESIAES0AiEz8ZASDEhoFwRXc4upOQUxmR8Djo+BALmNLR3dCIvL298BuQooyLQKe65flMqwuXHdouFa5O9BdMKp4xqDJ40PAIGJUZ2h7YxmpGaht0nTw2vsxG0UvFA1R6bs4cWpUfQLZuOIwFDmlz8uXBeE6IY/mQcwetmKAsKbgIq1q7Dlo4yrLxpF5wLimR2tSiU/7Qi7/GSx7Zi6TQb0LFQqjZj/Y1FsKEImxYDdhEsASdw0w6sv6pAHhegbN9m5C7dC1efHmkpwdZvA5uercXqbwDbHwe2NpaoE1lIgARIgARIgARIgAQGEKBl5AAYennY2dkJcxqvo+tlP6I1D+X2q/aaRd8EOmSPhnLRrj97GlMyMvS9kESYncSN9PslZqSKcRCkZIplZKrJiAsXLgQ5OvqqdgmbYaJV5OgB6uBMg2RbN0u8T7WXLMlJYPmDThw/uBUFjr1Yf8VsWNdWXAqi91qHS4mOiwt6LRq1Z71tRbBcrETM3uJU7QZfpFj2tSdQ/a1KVL9SgcrFT2AZrzf20eI9CZAACZAACZAACfQToBjZj0I/D5zqy61YzbEkOAFzqlhbyV6z6JqAsogzyF6FK+fr6zHZEM52MtzZPDYSAkaxjvT6giexUf0UpKbizJleH8mRdBymrQqb4ednchhC8XEoIKFPeAEoPvYq8rN0YFuKFfvMy7D+H7Zi7777gWfqQ2e/VlaQB4LMwpyL6h9tRrVEbYBEhqx8dAtWfqdkkBu2ZdEqsanchNJPl2HzT1cNOhakR1aRAAmQAAmQAAmQQFISoJu2Dre9S8TIgCkFzKOtw82J4JSUq6BJrCOV+Gy1DrasiOAw7GoMBPySndknLrpmU/iPyqZzZ1DIN+wYSI/gVLFwUxm1zebge5LnD6ChoWEEHQ7dtF3FDbXmDt2QLfRNQMTINhGWCxkBRd/7FJXZ2bD6+fsxu9iKdb39b36+pl8o7PNFKex7YJa/yYs/vFg4+C90PUpzez/wF9+PmtuLgRN7pX3fxAuw+lfrUfYlO1YvVe7cLCRAAiRAAiRAAiRAAhcTCP5r7uJWfD6uBJxO8RNKyRzXMTlYbAiorNput5tiZGzwDzmq2hvjEFaRqpMWiUV3uWRyZok+gYCI+D7lqh2iTBBX7fMRtox0iQWzOZuiQgjkcVOtwi042xrjZr6caGQJFN2yGQFnGRwd8h0r0wZbr/C4O7C7Z6C7d6P3ESwL1iJQ3Te+BWure0JDuA6JwPjQDuz6uyLJzg7Y+jpZsH5A+55kOLhvO4r7xM2+rnhPAiRAAiRAAiRAAiSgEaAYqcMXgsfjhoFWODrcmchPKWA0a2Jk5Htmj5Eg0N3dDcMQVpFqnLZWB2zp6ZEYkn0MRUAsI/1h3LRtsl81TU1D9TLs412SwMiUkgomPRk2Mt02VAmQ/GLQ5vF4kCru/CxJSMBiERFyDAqh14UKh4iZYlNpswXjJ1m7N4r1pSSu2dO4NFgD1pEACZAACZAACZAACQgBipE6fBkoASRF3LRZkoCACCcusb5j0ScB9V6ECBhDlTZJcpOdlTVUs5ged7s9MInVYNwXsYzUktiEWEi2rLG1tS3E0ZFXu4YRM3TkvfKMWBEwSuxPFRqDYmSsdiC+x7WIBWT9tHBipkViSNbg+A+LUDRE4porn/9tfMMYMPsrBzzmQxIgARIgARIgARIYDgGKkcOhNM5tVIIGliQhoCwjPR/GpUqSVcfNMr0SLzIglnhDhYNUx1NEJNNj6erqxJv79qG5tSeL8IIrSrBw7qz+qZ46+QHeevvd/ud9DwqmzcSyJaV9T3V0L2JkiGzaapLpkk27w9kVsfkqMdIv71N+KkcMaUw7UvGYVfiFaJbud/fD/dxv4Gs4B1PBFKR97g6kfESP76VoUkjQvi02FITTImXZtgXFCGo0maBIuCwSIAESIAESIAESGA0BZtMeDbUon2NMBOulKDNKlO6V26C3W6XtZNEjAZXARomRQxWLTuNFKtGu+s3XNCFykmTtMJkMOHywGs1tHUMtCZbMnP42BqMIsjpxa1Xu0gFJUhOqWGWuXREUm5wuCZtBS/VQuOOvXoRll+xptIoSIrse+mf4Th4H3C7tXj3vevsvUJbWPgkxEAgjpkdrXuyXBEiABEiABEiABEiABPREgJaRetqNvrkkoWWk+m2mMuBa062w5XwogvQhSdh7JUaK9R2LPgkoMVKCBQ45uVSxxtNj6WxvxPnmLmRPzEfxvHloK8hHdfW7miDSN98ZMy+Duqmi3Jv37NkDS+4kfHT+LK1O/aPSxUxf8zk0/OF/4Wux99fH6kFoKbJnRqkhMm2PZr4qviDShjCFGk3HPCc2BFRojChaoyuLyGDF+dRjOP/3ZcjOzkZmZqbmJs44pMFIJU/d25+9LWEWW1O2bcRruWvJzBGfwxNIgARIgARIgAQSh4A+f0EnDt/RrWQYllij61i/ZzVJwolbbrkZjz3ze/1OMhozEyuucPHvojEk+xw+geFaMJmgz49SZ6+7cltzI1599VURIg8ir3Aa8rIvjW+pLggc3P+GBudj15QOii/pVgk/xLJy9vqvwGTTw8WC8HKkcRgC8nBfBVoSI7GmY0kMAiohVbdHYsFGqSjX7GDF3NGOI1Uv48iRI2hsbNSS6Az38yVYf6wjARIgARIgARIgARIggXgmoM9f0PFMNBJzj+AP6UhMJ5p9tLW144Gyf8Smv/+6NozLmGQWSEO4nEaTPfseBoFhvheH2WwYA0a2idcrlp29Zck112LGlAloqj+DD8639FX339tbzuKCvRNT5yxEtlgoDyw+USrtzc341bMVmPnlL8Icc0EyvLVq+KMDVzb0Y5+yXE4Sa/X29g7U1zfApyyCE7XIXvp80bNGN4rVY6hikhAJBw8exIkTJ9DW1iYXohKYcygIrCcBEiABEiABEiABEiABIUAxUpcvg0j+lNblAvsn5enuROXv9+C990/21yXXA4l/x/hhut1yk1iuygYNOT9fQJ+iQmpKT9qVRUuuxbSphZizYAFSZDWtIjoNKrLEDw4flioL5hdNHXRIPQnIf2azCZs3b8YDP92GWV+9C6ac7EvajVfFUJ+Q4RLcjHSOynJZxcxM9OKSOJs33vgJzUJdZZtO2CKeBypuY7SKafa8kF3P6bDj9OnTOHnyJFpaWjTryJCNeYAESIAESIAESIAESIAEEphA4v/CSuDNS4Sl5U0swFtvvYVf/+rHCG1PkggrDbeGocWucGfzWPQIGEWEMgxDaPSGSagSvdkN3XNG1gSt0cmTZ9HV2YWmc2ehHFQnZKcPOtkliTbaJV6kJScTOSEsu1R8O6vViq1bt2LzI49g1lfuQjgrsEEDRPCJEu+HirXniaDYlAxCpNqe3/7HT/p3SaJkJmxR+xmIokVi2spbQ7KbAD+yWls0N+1msTTWMrVHcS4hJ8ID/QRqH16DbQdc/c/7HtQ+bIDhJ9Xa07q39qFBNXFVy2dPKaovbd53Gu9JgARIgARIgARIgASGSYBi5DBBsVmUCYihij5ty6K8bq37oey8xmMOHCMYAZNkth+OGOnSaRIiqzULxXNmov38afz+D3/Au4dPIDNnImZOyhu0XGdXMxzyA3tSQWHYfD19IqCykPznX/w7ir72JZhCiJeDBojoExEjjaHfMx4RhlNk3yJV+tYcqf702M/Bd17Dz5/4nR6nFpU5RdMa3TR9JgyTCkPOe6GnS3PRVnGSOzs76aodktT4HbCYLw0PU3RrDWruKtYmUXX1Muw4Jh+Q5mLUVO9A8aXNx2+yHIkESIAESIAESIAEEoQAxUhdbmQSWspFTjvQ5Y6GntTQVl6hz+WRaBNISRGn5sDQLp1ubzd0ahyJ+VeU4PqPXY+PLFqEa65ZiuuXLZHkNIM/+lPTcvGxj30MC4O4aIdi/P3vfx9bnyzXXLYN6YMtLUOdE5F6sYxUFquhSpe4VWeIBWfkSmjhM3JjxK4nh8OBr67/f7UJXFM6N3YTGceRoy0wm69eGnI1i7xOTYRUlpEqbqRKkMQyNgKuM1XYtFIsGcV621CyARWHHNKhC5U/2IAN3yvDKlW/sgyVr1Rgg3ost20vN/QMaslF5ZNlWNNbv+XZWq3eUV2JyjcdqPrBGmyQmk1XlKHWW4/KX1WiXoUc9Tqw83uresYUa8nyV3r7O1aJNXdsQtl3eo6VbtyJhuiFKO1ZA/8lARIgARIgARIggTgkEPoXXRwuJmGmPIwYdQmz1mRfiHI5DWPllex4Yr1+TYwchstvpjUdHSKC6bGozNL5Ygk5Z95cTJ1aMChLdt98MzLSMWlSPtIvSlzTdzzU/T/90z/h50/9SrOQNI6XIClu81oszxCTUvuQk3VptvAQzZO62iuv7R9+7281Bv/y0MP4y/6j2uNzZ89JPEOKZKN9caRcFVqMnGAIIK+rHUoEttvtUPE5mchmtKTVeS7smL4CdXfVaPGXjz9ow5q7dkkt4NhXjvIDRShvt2P34i1Ytbwca4/acbxqKzZ9+psiLkojix2VPwPK6p2w1+5C2eqFKD/kgr1hBzadqMfyb2/FVml2//PfRLFZxvrZDjjkvKoHcrGuaR3qnZLcq3oTNiwvRMUZmY2IlBXPbIP1pq1wNu5H6ePrZA5KHGUhARIgARIgARIgARIYSIBi5EAaenk8jBh1eplqJOfRJZ35XBcl1ojkAHrsS+KFGZMkU68e8Q81p9TUVPjF6nGokpOdjVavPsXIoeY+1uP33Xcffvar/8TML62FwRp9/0WDCPjKfT5UUfswYUJPrMxQbUZWn7iW6i3NDaj66zENxz9+6+/6sXxl7Z2oF8u9RC3RdNNWzFLEVRuTp4TEV+zuRHt7O+iqHRLRCA5YsL7xODYV1KPiKREfn9oGFPZYRjvrgUd+ug4FmTYUFa8E7rsXy+fI4+tXYqXIlS4lRkp8inufvwclBRbYFqzGnvuA7a8o68hClEhCL2QWonCxPCvqcb2XZ2IVWYedPwJ2fHct5DTYFq/F7ruB8pfUeSr50xO491PFsOSV4N6HSrBrX53UsZAACZAACZAACZAACQwkQDFyIA29PNaphVU08eQXLMb2f/s3fHXlddEcRn99y16bzWb9zYsz0giovVEufYEh3pO5eflo8alftslVZs2ahcWLF6OiogJ/qTsuFpJfRtRdtpVlZBgxskXid+ZPCS0EjXSHAnr1vx/pQoK0z8jMxfZ//Vf8/Kdyk/u+8n+/vwUTsxIzpdhwEiD1cRjLvfmqa0OevsjnQkdHh5ZRm67aITEN74C3AVvyZ2PZo/vgKliIVXfeCzFX/PDcvo9lMZUsKewRFD88qB5ZUDjd1l+lZMyivA+fqwMDeutpJ9aPonOiYEAzl0MEy4LcnuMD/7WoMaN/kWbgkHxMAiRAAiRAAiRAAvFAgGKkDnfJPwy3UB1Oe0xTmiiWTNcsWQIlbiRTUSKXOYVipJ73PM1iQcAbPr/wxCnT0KjTJDaRZOuTzyZlLfrJT35S63blypX46759ePHp/8K8wilwS23OsmsQCBPTcazz8ct7JpwY2SxjFwQVHUY3cgCJaxmZIa7111x3HT52g9zkvq8s/8THkDnuiYn6Ro/yvYjZ42GNnrbkQ54XryhXXLUniau2ctOmq/bFdEb4XOI47pJT9jx2P9Z+ailwRlknjqDYXNj01XKIlihWktXYKhaPK0suFS1V5vP+YinGusXAtmd7sm2jqRrlz6jzCvqb8AEJkAAJkAAJkAAJkEB4AhQjw/OJyVF/ElpYxQS0Hgb1e5GWkqqHmXAOIQgowQbdSmYLXVQW6vNiQZnIRcW1UzE0n3zySfz3f/83bDYbfvvb36Lh3Dn85dHH8MaPt+FPD/4Qx3e/BG+0hFkV1sBglDirof90nZfPz6lTp0ZsK0wSRmEoy9iIDRbjjn75y19qFuqZifyZpF5DYSxrI7UF5qnTxVRuWsjuVFZt5aqtEtmorNpK6GcZBQERBsu+DazI7UlMs7WuGCUHNmDdU4ehrBz7bRLlotLFpadG/j1wD3Ll89uQWwo8tAfrF/QcKdTuxHLyRklgc/U6VPfqkRbpde1Le2DZWNqTwCa/FIW/2o/Vfdu9eHACrZ5+Lh6dz0mABEiABEiABEgguQlI+C1mS9HbS+Cddw9KEKICGEySyZcloQn425vF1SsDBQW0qNDrRre0tOD0+SYYsieFnGKrw44nf/ov2JSfH7KNXg6oxCSpqSP7bGnzuFH0txtwVsSTfD/EssyAHz1Zjn+T0Arl5eX4VMEUnN/zR/iUYClCj7qpxDmRLgEROVMMPmRLjM5gxSsu1T+sP4t/e/RRTSQI1makdQcPvQd/Vj4MZl40GCk7Pbb3e1xIc7eieMH8qE+v87nfwPvCb4OO0wojHs6djuLiYslyfw2KiookgdQ4ZqUPOqv4rXRJQiBYbNA0xz7X7JE4HXQ4xDrSBluo6ASqz4v7kzqViEiNG/K8MEjf/uxtYY7G16GaMonVOcJy1xKJrcpCAiRAAiRAAiSQtARCm5ckLZLYLzwtLU3cQvu+Tcd+PpxB9AgYlGWk7DeLfglkZGQgIAJGuJJjy4VJ3O2bE/R9q65ZZUsohampaXjzF4/j6B9exl1f/KKIkkb84he/QPblCyXcQAoy5LWcKnE2oyFEKv6GgBepMk6octrjwSyxilRxPiNVUkS4DdBaPVI4Y9+P7KWy8B2PEs5VOwd+FDg7+rNqKzdgZtUe/a5YxFK73/hRiYYXC4dDdS1JbsIKisH6kzqbxJcMe95Q4/I4CZAACZAACZAACSQpgWBfr5IUhX6WbZVv1C75UQ3NyUg/8+JMIk8gIJmaLf2/oCLfP3scOwElFmtJbGSvDObQIsb0mUU4JS7LExMwIZESGk+9thd1/1uFSWK95T57DnMm5uH666/Hq6++iuq645i1cAE6aw6PHXiYHgLiyqrmEqqcEtF4bslHQx0eVb1FBFhXNy8OjQqeDk8K+OQzN3N8LgCZCyVcwNQZwNlTQUlc3t2Fv/S6aquENllZWZrAH7QxKxOOwJXPB7eajceFXhmPk+acSYAESIAESIAEYkqAlpExxR988PR0Kwzyg4klsQmoAAk+iUVotQ6OL5XYq47P1Sm34IDEeAtXZi24HMclOUaiFZW+xSTuz02vvIoJEkswK82CXIsVF956G/fddx+2bt2KRYsWwVxYEN1UL1pEkUDY7PMnYcB8cXuNZLFaJXAcP48jiTSmfRnFGt0yjtbo5iuvDbneyyWrdqeIkE1NTVr8yO5u/t0PCYsHSIAESIAESIAESIAEEooAxUgdbqcmTnnDJ8zQ4bQ5pZESkD1OE1GHRf8EbDnZMHicYSc6e+58fNDVGbZNPB5UDs+pEgMyW0TIdMmkreJBmsQ9+9ybb+Nji0vwxU/9DWp++RSOSeIaFTMyWkVZtKWGSazilLFPdXZoMfgiOQfNMtZPkSiSTGPal7KMHEdr9LRrrgu5XLnEgQLJqt3a2goVm5au2iFR8QAJkAAJkAAJkAAJkECCEaCbtg43VAWx97pdCO2MqMNJc0ojJhAQq8iMDCYsGDG4GJygMkfX1dWJhaA/ZCbnnNxc5OZOxHG3G7PH0fJqPHBoMSAHxGFUYmS6WCq+9qMfw93RiWwRd5RQGa1YkWqNBon1lxbm/XLE6cSiBQsi7uaqLg4Fuj1ic8mSCATG2xrdPLkQmCaJOs6cDIpPuWq/QVftoGwSvZIJbJjAJtFf41wfCZAACZAACYQjQMvIcHRidEwlhbBY04dMmhGj6XHYCBEwiGVkVmao1J0RGoTdRISAihmZnWNDwNURtr/5pVehVov3GrZZ3B9UomOGxFKcaDKjUFzYbSLYRVWMFOEz4PchNYzIe0Rc5EslK3Gki5ZQTPpW47PENwEVo9csMV1NYt07niXlqqUhh7vc79ZctZubmzULSbpqh0TFAyRAAiRAAiRAAiRAAglEgGKkTjczKysT/u7wGXx1OnVOa5gEArK/mRQjh0kr9s3yJk4QV+3wbtgLr/go3nOGjy0Z+5VEZgZmddFEksn0uW5H03JQiUjhhMgOSWxzVKzLSktLI7O4i3qxirW6smRmiW8C6jM3PT1j3BcRLqt2lrhqTxFXbYfDAbvdTlftcd8dDkgCJEACJEACJEACJBALAhQjY0F9GGNmq6yaFCOHQSo+myhxxSA/Qsczdll8ktLPrJWrtkpkolx2Q5VcyTBdMGUqDnUlhyAZTQFyEGOJ2WgNE+fvXeG9RITIlDCZtgf1N8InOfJ5DMnUzRLfBJQ1erZc6BvvYpo0GYYZRSGHXdjdqSWwUdaRKqu2T8R1FhIgARIgARIgARIgARJIZAIUI3W6u1ny49fr7oKWQFanc+S0Rk8gIMlQsrKyR98Bz4wJgfy8PHHVbg879keXXo/9FBPCMhrJwYDEilRu4eYwQuM7Iu4v+/jHR9LtiNoqC2aDl2LkiKDpsHFABOVYWaObrwqXVduDrs5O0FVbhy+a3im5Dm3Hqp9U63eCnBkJkAAJkAAJkAAJxBkBipE63TAV0yojI1PiRoZ3C9Xp9DmtIQgYup3IteUM0YqH9UYgPz8fvq5WiR8YOmv0osWlaBYx8mwSxI4cj/0xiDWqSiITqhyWxDXpYrU6d+7cUE3GXK8uDvk87rD7PuZB2EFUCShRGwGfuGnHJmlYOFftTEMAUwdk1XbKa9of5jMmqqDYeWgCYayzQ5/EIyRAAiRAAiRAAiRAAsEIUIwMRkUndRNybRKjzqmT2XAakSIQEHNXr7MDOTkUIyPFdLz6UW7AEydMhF8EyXDlqhtuxF8pRoZDNLxjSpCRxDHhwhm85fXixr/5m+H1N4ZWmSJIBjzJ4X4/Bky6PTUgngbZkmwpVsWUNwmGWZeFHF65are1tWnWkXTVDokp5IG6F7ZgzcYybCgxwGBYhZ0vV2H7xlJ5bMCan1T1nudC1cMbtDrVpvyNhp76Y5VYc8cmlPW2L3uqChV97e7YjgbRsQELKl8qx6Y7VP/S5w8q4NDqAdexqt5xDVj1nZ097b112HLHBmz5wRoYSspBu+reLeAdCZAACZAACZAACfQSoBip45eCEqv8Q2Tv1fH0ObUQBFRG5qzsHKis6SzxR6CgYDICXQ4JoRDaOnLJdTfgiMQxPN/d+2s1/papjxl7PWEt2T5wudBpNuGaKGTRvhhAz8UhipEXc4mX54buLrFGl7ivMSzmK8O5arvhFFftlpYWTZRkVu2RbZTLsR8Vj9di/Qt21FSUYN2nV8B15y7YT+9B3XdXYOdhF6ofXoMVLy1FvTMAe+16bFhaiIozIiZ6Hah4ZhsKv1Yp9buw5UsrUO5aKwmFjmPr0Xuw/ulawCzW2S9VYdn36uG016D0gTVY9x9S31GNNXNXoOTReoknbMc3LetQ+H8qZfIu7H+mHGWnV6LmhTUiZbKQAAmQAAmQAAmQAAkMJEA1ZCANnT1OS0sTiyAr/G66autsa8Y0HYNYV6nMzCzxSUBZ6U3InYBApyPkAsxmM5Yu/yRed9MeJiSkIQ4EVNxNZRUZxkV7b3c3Pn3zzUP0FJnD6uKQz8XP4sjQHN9eVFgFn6sr5tboylVbWcYHKxmSDWqasyerthIk6aodjFKYOrkwUfLYZiydZkNx8UJpuBnrbyyCbdpybFoM2CXma+2TlShZakXNy5XYf1raS6u9tco6UjxQFj+Bb15bANucYqyUmnvvXg6brQgrv7MS9Q75HPfagbu3YvXiAlhsxfhm1f2o3LgXjhP7USln5DbWiOXkfjis0uvjezXrSJfU7/+39SiWObGQAAmQAAmQAAmQAAkMJkAxcjAP3T1TopWBYqTu9mW0E1ICi0/cBXNzc0fbBc/TAYEpUwrh67BLCLrQlo/XfeKTOCFi2Um3Wwczjr8pqMzH6Rmh4/u9J5an3nQrli1bNi6LUy766RkZtFYfF9qRHURZo2fn2GJujW6amAfjZfNCLu5ysd5sb2+nq3ZIQkMc6L3249LERRENtebas54TCwH5X2wWXXC4bCir2IE1Rb1C4QFV31dWorDPlFGr7Hmycu5Ff7dvz4XF3HeO9CoWlrbFZdhRsQq2vvrQfyL6TuQ9CZAACZAACZAACSQlAYqROt/2iRMnwifxBQNiIcQS/wT8kol5wgQRmCXmFEv8EkhNTcWUKVOAzpaQi1B7fMNnbsYfKUaGZBTqQECyY6sM2uFiRb4qVqe3rFkTqouo1OfL5zEvDkUFbVQ7NUgiOL1Yo4dz1V7oE1ftjg5m1R7rq0EJgCIuDi4WWDKBerFqXHnLaqz+VBEqV69DXQgH6g+Fyd5ezLmo/G4Z9jnUcwcqH92Ckk8VS589AmXR9Sux+tbVKOqoxLqn60P0OnhGfEYCJEACJEACJEACyUyAYqTOd1/FFcxVCTPEfYsl/gkYRIzMz8uL/4VwBSgsLIRRMj37w7juliy5FgGxyHpLBAaWYRJQXqzdbmRmZoQ84Y9trZg5Zw6uuOKKkG2icUBdSPCLZXM4i9hojMs+R08gIHFHIe9TW4zjRfatIG3JspCu2ulyjWqGWHG2trZqsSOVq7ZPhStgGRaBfmtGFd9x8YenyDNNHFz92H4s/1ZPUhuDdSHsD+3F2jm97RarVj2lzyiy73l/v+KQvSxXJbDJxbqOR1D51WLxrV+N/TuLe+sNWLjWjr0Pre47laJkPwk+IAESIAESIAESIIHBBAwSvyh4AKPB7fgshgQ6Jaj90WMfwJg3I4az4NBjJaBEq7TuDhQvmD/Wrni+Tggo0aDuxEkYJk4Pae169vQp/PrfH8Y9+fnINpliPnOPpxupqSkxn0fICXS7kCpJaTIzxYwpSDknWcp/2dKM7//gB5qVcZAmUa06eeoUWpxemDIZ9zWqoCPUub+9GZOyrT2WzBHqc6zdtP2oDIEP3g/azdvGNLxaOBsf+chHcNVVV2kXPZQlNkvkCDgcDrG6tsltFH1K7EmHXFuy2S46WWJWqtCSl9SHGeLtz94W5mh8Haop2zbiCd+1ZOaIz+EJJEACJEACJEACiUOAlpFxsJcZEhti84MAAEAASURBVKfMYrXQOjIO9ircFA2uNkyelB+uCY/FGQGV1CQ31yYZVZtDznzq9BlYeuMn8VKXJElgCUtAsziUZCOhhEh18h9cTtz++c/HRIhU408SURm0VFcodF/UtVZ/VyvydGaNnnJ16DinC/0euOQCZHNzs2YhyazakX+ZKSvZUQmRaipmS3DBUTociRAZ+VWxRxIgARIgARIgARKILwJ9Ibbja9ZJONvCyZNx4tQZwJqVhKuP/yX73U6YAv6YCSjxT1C/K5g5Ywba33sPXhGojCHenzd88m/wq9pD2Cfu2ktDWPzpd4XjNDNlpO9xISs7O+SAe9rbkD9rFm644YaQbaJ9wCrZvdUFoq6uNhjTQ8812vNg/0MTUEKkTZKF6c2yMPWqpXD/1y8RLHKwFQHMkNdWn6u2ik2rYqeadGBVPTRxthgJgSuf/+1Imuu67ZW6nh0nRwIkQAIkQAIkoEcCtIzU464EmZOywEpJMTGTaxA28VBlcLWisGByPEyVcxwFgSIRyHxtjQh0S3y6EGXl57+IKhEjTzChTXBCHifSJTt2SggXcpU9u0YEy3Vf/Wrw88exVnsvO9vGcUQONSoCIkYWyIU8vRWTLRfGuQtCTutyr1PLqt3U1IQO+cxg3MiQqHiABEiABEiABEiABEggTglQjIyjjZsqCTMM8uOKJb4IqIQXRsmGrjdXwfiiqO/ZKks5ZSGJ9gshk1PkTZqMm2+/E78TcaGDSSkGb6jEiTSbzbCmpw+u7312XkTe5yRpzZfWrxfBMniboCdGqTIrKwtWS5q4AFOQjBLiMXfr63RA7ZMeXi/BFpNyVWhX7QWSVdstrtotLS101Q4Gj3UkQAIkQAIkQAIkQAJxT4Bu2nG0hco60pJ2AU66B8bRrkEEZAemTimMqzlzsiMnoMRmpyQxaGm7AOQEt8ZatLgULU2N2PWXffhyNkMuKMrKmtQoIQyys3OCQndJDMnfdXbhtjvuwIIFoa3Jgp4cxcophQX4oO4EQFftKFIeXddaXj753J0yb97oOhiHs1Kvuhbup/9DXLUvzSFoFf/tWa52TYi02+0SEqCLrtrjsCfjPUQiJLAZTeKa8ebM8UiABBKHABNfJc5eciUkoAjQMjLOXgdK1Ap02kNaX8XZchJ+un5x5UwT9/oJE5h5N+E3WxY4fdo0ZFpSEGhvDLlcFT/Sdtkc7BILyWQvAW83DL5u5ISJE7mrqxOLr1uGj3/847rCpazuMsUiVlngseiLgPobmSuxIvVqFalomXJsMM4rDgluoaeLrtoh6fAACZAACZAACZAACZBAvBOgGBlnO6iyzKrsvYGOljHNvKvNgfMtDrR3+sbUD08OTUBZ5wQ67Jg2dWroRjyScAQumz0bFvlk9beHzrB98xe+iG5x234xiQVJLXN2txvZOdkwhkjO8UxHOwqKi/H/rF6ty9fJtKlTtM9ibS26nGHyTSrg9cAvAvFUSfyi95IaJqv2Asmq7aGrtt63kPMjARIgARIgARIgARIYJQG6aY8SXCxPU+KW/dAhBNIyYEi1DJ6K5wh+/cs/oWtgbYoN131uNS6fYAJ8F1C16zkcG2DMkz7lCnzu5mvxodOoB29UPAdc/TlcOz11YE98PAICgY5msYjMhRKQWZKLwLy5c3Dk/aNwiSBpzJoYdPG3r/9bPP3vD6PS3oyVmR+++4I2TrBKJd4FJGGNTUJPqFiRwYqyHM0UYfeLX/lKsMO6qFNZjidLgpSmNjuQna+LOSX9JMQqcqr8jUxJSdE9ipQrr4FrZzkMKpP8RcUirtozJSSLw+EAXbUvgsOnJEACJEACJEACJEACcU+AlpFxuIXqx7tyB0VncOtIt6xp4Y2rRGBchVU33YAZJgdef1EJlB689hslRGbh6pvuxMaNX8MdNy5E17mDeO610xoJx7ljeKPqRbzb5ICjM3Rm4DjENq5TVklrDOJmp+3TuI7MwfRAwGAwYP68uWIh6ROX7aaQU7rz6/fAPiEPzyeRhaRyzYbH1SNEBhGMlCzzG7GIzLhsNr729a+HZKeXA0r4MvrEGs/VqZcpJe08/M52mA1+TSCOBwgmiZNqmn95yKkukqzaKps2s2qHRDS+B7y1WGVYhVrX+A7L0UiABEiABEiABEggEQlQjIzTXVXJMtIlm6tP3IAvLSbkzZ6CyeKmNnX6fNy4RNzVXG54zr2JmnZg/k23o2S6stYzwTb3OnzmiimwinAGOHHojdfx3snQ7qWXjsWaoATEjX7G9OkwGvkWC8onCSqVILlAEmikp0iKitbzwVcsbb4ggqS7cAr+u70DvksNpIKfF6e1KlmNQdxoc2xiERlEiFRZxp9qa0P+okX46saNcbPKGdPl4pBYQmuJU+Jm1ok10YC8dgJiiTxTPnfjqaSEcdWer1y1RYzsy6rt8fACoR72llqkHnaBcyABEiABEiABEoh3AlRK4ngHZ82cIfphK/zi7ji4+HDuvSM4dvgI3nv3Dbz42jlAuYG2iRIpzthFU8Rde0CZsXQV1iyfLzVWfGz1l7H+SzeCztkDAI3wobKEs+VkaQkURngqmycggbmXXYbczHQE7OegWQUGWePqr9yNrOKFeLKtFc1eb5AWCVDV7YIp4INNCZFBXLPPeNz4ZasDl3/8Bqy96664WnCOuJurkAwIYwUbVwuKx8l2NIlF5KS4C4uRUnoNAiEuWqWJq3ZRb1ZtJUg6nU74RHRliRCBpn3YULIJ1X25xFy12LRyk2b52PBKuVhBGqAuKpXesQ3VA0LbqNHrni1D2bN1PRPx1mHLHWWo7f3orntlO0p7z930+D5QvIzQfrEbEiABEiABEiCBhCJAMTKOt1PFxJo1c6b2A3igRY6SGo+9/QZe++sbeOPtGnjy52PV564LIzD64PYM+IHj8mHAszgmNP5TV26CJp8bM2eIUMxCAr0EZsyYjsJJefC3nA3pzvs3t96OhR9fjsebm1ErokPClIAfkLAFKSK42CT5VrBkNdWdHXjiwgXcfMcduPnmm+Ny6coS2hzwwi9x/ljGl4DKaJ4qf/imxEHSmovJmCQru2nBoour+58v7O5x1W6WzwXlsk0xsh/N2B/kFaP4wDZsf6VB66vh5XJsqy9GkbkWK5dvwLpap1g7O7F52iasf6Z20HiupkpsOdOnUDqw65lKuESMdB3YjtnLq7D9tJxrr4Fl4zLc80JP/4M64BMSIAESIAESIAESSHICwTMHJDmUeFp+bm4uOlTGzfZGSaAwSZu6T9yvb/jSl7FgsAEkvBkqScZpnDrvw4wB1pGHX3oSf2qYjy9/9QakqR70H/dfW6fe/glIZmBfWyPmzp+vWVPobX6cT2wJTJo0CSrhSd2Jk/CLlWCwxDbXXv8JTJpciBf/+ymcFQvJT4pQEc9FWYIGZK0Z6RmwplsvWYpfEne8JEJkfWoq7rvvPsyaNeuSNvFUUTRrJmpra2FISdNu8TT3eJ2r5hkgYuTshcXxugQoV213zbtB56+yalfKe6TPVTs/P19LzqMs9ljGSsCGdc+vR+EDVXjilrXY/cA23P9TOyxmG6qO7sf+uirs/HMtdv0MKHzs4rEKUYK+BIIWFMp/qtS9WQksXgZ7bRXkEayLgfJXaqT/Au04/yEBEiABEiABEiABEughQMvIBHglqCQpaSI8+iROYV/xBfELMk8vxRz57lzz4nM4fKHH8ur8e6/gT6eBiR9d0CNE9nXA+xER0CxTRRBWFpEZGRkjOpeNk4dAdnY2Fl2+EFmpRgSUlaQkcrm4zJ43H3ff+z3Yp07DE62tOB2PceJU7EtZm9HXrSWqCSZEHnU58e8OO6wLF6LswQfjXohU+5ienq6tIyAXJQLKIpQlqgRUVnYI61kiAqelaZfSojpetDpPLV0irtoXXT3sHSxVuWqLxb3Kqt3nqu3387UVqb0ouPGbKDmwA1UHKrH9wGqsu94GNFQhd24ptr9RB9sVy7Hm20D9SAZUuqR8tLvE/bvkgV3YfUfRSM5mWxIgARIgARIgARJICgK0jEyQbb6sqAi1hw/D71NxIUMVK5av+Qw8z/0ef/rdr/Gn3mYTF96Az5X2WFX2VJnEtlLS25iC/zgK1XtS17ddwARxQVWJhVhIIBwB9b66bHYRlNvl6dNn4LdkwpA5YZA1rVVErdVf3oDqN9/AjuefxZVWee9K3FdTHBhDaXExxUpYWYFmZF4qzHdJzLtXnF04LoLKbV/8IkpLS8PhirtjEydOhNPlQnPrBSAnfq2hPJ5ueCSOp1vE8G557O7uhrdb3ND9XviUGCY3MWwF1GtS3UsxGFWMPaP2t0O9zlUokVR1S0uV+1SkSdI1U4j4iD09jPBfuQBUIHEilYdAPBdjRiaM4qodqHkn6DIuF1ft3/dm1W5vb4eKUcq/z0FRjbwyswRb76vEipJKlPx4P4rlW7GrSblkb0b5P30TNm8Dtj8olpEXG9666lFdpyTKYjS8UqFZQW6VZ7l5okTW27DslpWwiSJZsdGKHTcex8prRz41nkECJEACJEACJEACiUyAYmSC7K760XfZ7Nk4cqQbX/3yF2AMZSSSMR2fWXs33G0O+cEMpNpsSL84W03qHHxl45wEIRP9ZaiENRlpKVAWqiwkMFwCSrSyyfvvzJmzaGk6BUOGxFNMzxl0esnV12Je8SK8svt3+Nea9/BxESWv1KnlrcpmbPC6RWwyIDMnO2i27H0ipLwqYSWulyQ1D65eHTSRzSAAcfpk2tSpcLuPo0M+GwxZ+r9AocRFZ1cXurqc6BSh2O1ya6KiQRINBYzyNUG7ieu5JV0eG2EUwVEaiA45WB0PKFVSLEKV5Z5PkhV55DXR4eyGsVP+2IiI6ZdM6iaTuUeoFsE9XVz3lWg9mhKQC0A5khiqoCB+Bd+B605doly1g4uRKqv2iwNctVXIB/U3n67aAwmO/vGytTuAH63D5jtLtE4sc5bjXixErqFMnpfg3vvWo3LjQuxcVt1zXP4tumkzSuaugEFcuHHTeqwUN215laPg1q3Y8edcOfcerS1ufwL1t9MysgcG/yUBEiABEiABEiCBDwkYxL2016bhw0o+il8CypXreF0dTLlTGLNsHLbRL67xaYFuFC+YPw6jcYhEJdApAt3Zc/XoUlcIRJA0Wi+NFXmq7gP8+aUX0dXchGUSY/EjIuaMpiiLt9TUyAWG1URIn0cToTJkTmlBxKW3xKprn1jZzRAL7lW33orpkuwlGcrhI++LQGGGUSxf9VZcbreWEKW9vQMucZk3pVrgN6XCYO69KcExCkW5VgdEtDaIC7+Ks6vESxXaIisrE1li/WsUMXuooi4ApZsNmDvnsqGaxs1xv3wGtH1ng3AJnj7uNynZaJk1F1dddRU+8pGPSPb2CbSOjPLuqu9TlkybxJCUgSQigLyVBxevS947kDaXCuouOddltsAW5FhfJ29/9ra+h3F7X1O2LW7nzomTAAnEH4G7lsyMv0lzxiRAAiEJUIwMiSZ+Dyj3z1Pi/mm0FYogebHZY/yuS28z93XYkSrBORfMn8cfhXrbnDidT1tbG+obzmtuvrBkw5CepVmoDVzO+7Xv4S//+wd02luwRKyjrlQunkPrN/1dREqMVKKSQRLUiMkb0sVi0yK3gcUl1nH7RWB5s9uDaSI+flqyZM+bN29gk4R/rDIfH3n/KNzGVJh0IEiqvW9ra4WjrR0+r4heIkAixQKj3GJVAmIxGZD4osqq1ud2imt/phZnNDv7UkFezdHf3gyLwad97sZqztEat/1f/xn+g/uDdl9jSEVlQREWLVqEq6++GtPEEj9VLkqwxC8BipHxu3ecOQmQQGwIUIyMDXeOSgLRIkAxMlpkY9xvU1MTTp89C2MOBclobIUSIlO8XZgv4opyl2MhgUgS6BBLwvMXGtEqCV5M6dkIpGXAmDpY7Ks79j7e/vMfcfzYUXxUBMkrJC7f9GGIE2MSI1WcQJU0RKzaTCYjrBarFgdw4NrrxFTooIiUByT5zpIrr8THV6zAbAkhkazFK1nRlSDpMUm8xBgJkm0iPrYoSy2xgDSkikWtvJaM5lCxPGK3U8rNO+DugkFiJKrYozm2HORKKIO03te1EiLTDF7MnztXLCijY7kZu9VLrMK9r8L95PagU+gWJ5Zt2VMxQxJcXXvttZgrDJRFKV21g+JiJQmQAAmQAAmQAAmQgM4JUIzU+QaNZXqaICnx6Iw5k+UHaOwsX8ayBj2eq7KWp4h71vx5cylE6nGDEmhO3ZI0RGXQbWxq/v/Zu/votso8T/DfK7/J71LiJFLenReITVJlCwLE3cxpzNb0xGmYwaE4TTzF6S47mS3CMFPgYRfw5A9ImjPdCcxC0rWHoJo9VcfmDyrmLJyY2amOs7NMJ3QDdqag7FQnxEBCpCROJL9KtmVpf8+V7Mi2nNiJ7FxJ38tRLF3d+9zn+Vwl2D//nucHFdSCBCWRlTMhMOm9dhVftn+B3//jp/q01w2yJt9dWWaslOBkrG3WwchIAFJTGWwypVZVLTbLIz0qCH9OApBnJXjUKcVO8vLz8cBDD+kBk3x5zk1meMq9+6czZzGsZcCUv3DeSK5d8+CqfH5UpeZQhgQg1ecnQTZ9OvfwgAQnByTzNgcLMkaxID9bD0QmawAuKOt19v57NVVbzQmeur0vU7W7V63TMyM3bdoEte4sC9lMdeIeClCAAhSgAAUoQAHjCzAYafx7NKseejyeCcer19+dP480FZBMoB9EJwzCQC/UWmUZGIGqXp4uxR24UWC+BHw+n0yx7YVHMg6HJfhnkqBkSLLbNJliqy/HoKXBdeE8zp7+Pbo6v9KPXS1BnJVSaGSZZJbZJXiYIc9VYOyGn10pPIJg5KHWr5Mp4Go6qP6QNnwSnHRLkPSCrAF5XgbfJVOxl0pBjdKyMtxzzz1YunTpfJEk1HVUUZevz3VhKChlXwoWz2nfr8kUfhWI1DIk+1H+3dcMmAU5G4DRS18jKzCAdVKFXlXPTuYgd1AyI9M7fxeT5/fBNByR9aBLS0v1KvTq79pcTNVO9OrkMfG4kwIUoAAFKEABClDAUAIMRhrqdsxNZ3okePH1uXNSRGGhVOstmJuLpECrqnprToYJ69au5dS4FLjfRh6iCiiqqdyq+EifVNkdkkClJtlvqvgIJDMyKIHJ/oFBfPvNN7jwbRdc336DS7KWbIEEFfNluucS+VogWY55MtU1WwKUmVoIaaqUmQQhtTRpRx4hCbaPyFRsWc0PvXKcV6bQdkvm46A8ltvtWL1uHdbJMgVqHcg8WeeP28wEVIGxvkEp3FKwSL9nMztrZkepghuXr3RLoQ35HGTlhT8PMzvVkEeFZDkAyL+7eXm5WLpsOYK+PmDQC1UoadlSu1TjvrUiToYcbKRT/k8/wdC7b8fsYkD+jh4oWIoVMlX7gQce0Kdqq797yZopGhMhiXYm2pqRvaVluFD9E8PfgTRZRHnHfSsN3092kAIUoAAFKJDqAkztSoFPQGFhoSz2f7eelTMqUy2NWNnVyLdBrV2GvsuwSEGFVSv5Da6R71Wq9E1lNlpkLT31GNuGpDry2GNYAoaWLA1LCu7Gffesh8rKC0kQUhW3On/+O6jCKv2yjuBlCWiOSIajCm6q99WUT7UWn1oH1SxVsVUxkQKp2rtOHkVFRViyZAkWLVo0dkl+vQWBNZJVffHiRQkafo+QZEia4rCExsDgIC5dugwVrArlWg25HuRsqYIyPTvUewWLJOt24aJwJqleZV4qzQ8M9OAPUqlcfSaXLVuaVOtHZv7wPqnCnBEpDjVRTQqIY52/H5flF4zq77IqYqMCspyqPdGJryhAAQpQgAIUoAAFjC/AYKTx71Fceqh+YCkt2aAHJH09l4D8orhn5cSlowZrJCg/+AXlB+Lly5ZhsfxQzI0CRhVQazmqx802tXQDp2HeTGlu31fTa1Ww95tvvwVyF8CUW3hLFwwGQ1Lo6BJ6JLCsZRfoa0LOorD6LV1zPk4KDngQGuzBMqnCnl8w1UZ5hSQoeW1ApqN/9RVWSFBugQTMk2EzSVX6tI1lCJ76LOZwNgZ8+FB+iaCCkX19ffovJBiMjEnFnRSgAAUoQAEKUIACBhZIvnKUBsa+011TP7DctX4dFlnyEbx2AUGpWsptegFVudU06MF6mY7KQOT0TnyHAhSYvYAKnpWWlCAr6Eeo5zJCap3OWWxqmv7X575Gn1+y3S22hCpOM90w1bTsUI8LWaFhrJXp/7ECkWPnapLBq8kv1UJ5i3D++4tQ099Vxm8ybJn3V0w7jHWhEQTl3qvCVmpavsqGVlnN3ChAAQpQgAIUoAAFKJBIAgxGJtLdilNfVVbOmtWrofV3QwXcuE0UCI3ID3eei8jP1HCPFApI5mIJE0fOVxSgwHwKqOzIkg13yy+I8hC8ej68JuIMOnDp8hV8f9GNYHYhtByLrOqZ+PmQQcmEHBWDBZZCrF6zVpYKiF0NfjKPKSsb2oLl6B0K4qvfd+iFmyYfk2ivM35wr1Q/z4jZ7TTZe9dQvz5OFZBUha3UMgwJswU6sU3bhk7/3PfYe7Yd7RdmcyE/mso1OL/yo/Nt+Vv1N+233cnOw9uw7XDnbbfDBihAAQpQgAIUoECyCTAYmWx3dIbjUetIbpTKtwVZacySjDIb7b+GoAQil9kWY+2aNVyLK8qGTylAgbkRUL8gUhnYGSP9khl4CaHAcMwLjYwE0CVTu3sGpGBRoaw3mZEd87hE2hkakcxQrwuZoz4Ur12Hosj6kLMdgyl/oayXuUBfisTtds/2dEMdb5IgddrG8mn7dM/IoF7ASk3V7u3t1dd8nfZgg74xmxDhrQ7B9bEDjve6ZnW6T45WfSt+vAMdPymZ1bmxDpZbCdd8DDbWxbmPAhSgAAUoQAEKGFiAwUgD35y57pqatr2meDVWLV8G08BVvVhAaDQw15c1ZPtB/4AelC2QZJSNGzfqhREM2VF2igIUSEoBVRX5Hpm2bVtokQzB72Uq7jWZfns9461/YECfijykZUKToJumJfb/vkNSTC3YJ9n5EohctNCqByLN2bdXHdtkzoVpwTKpHO+RoOS5hP6cZGzeMm3/18pUbQyEp2r3SDEbVbDK0FO13e2ol4xDTXOg/nUnWiAROn3zo/XtOr0auCbZks5PI0HkgBtNz28b39/0eXi//2wr6vR2NGx7vglu/dsVP1perkPdaw2ScRm+hmrH/dt9KH1OLvJiKZpOe9HyWh3q5Rh1nXYJDrqPOyPHa3A8eQDt3kiXIl+87S1o+Ux2nm2W4xzYVrUN25+sw/aq7dKeii5O03d5p/3X6jqq3Xo4P2qBfWy4Ey/BVxSgAAUoQAEKUCClBRL7p5mUvnXxG7wqZvGDTZtQVJCD0W6ptNvviV/jBm9Jn5ItmUjpfi9Wr1iuZ0OqSsLcKEABCtwJAVWxfNOmjbCa0xG8Iv8eD3ihig5duHABkCnZaeb8O9Gt+F0zNKoHWkevfIvC7Ays31AK68KiuLWvpaVDs9jRPxxER+dpPVAXt8bnsSFVVTuUGbsgVZoEutb7+qACkSo7clCqqRt2qrYEFuvtDnQ9cwKevhZUolVXVPG59re345GPt8DlC8HTWYu6LXY0y8e8dY8dNaer9f3nPixHzebd6PK2Y/v6R1D+CxdCIx7sNtfA/kyL3pb3lBPOPVbs9/jQ0eSQdhphfvgFHHtVsktfOorqDWZ4TzpxYI8bx750ojy9E1WVdajp9EkQ14e9y+tR+/7EqdQedyPqv3EBqytxsPMInL88iO1wovljoMRmnrbv7o/q4XharnPGg5Y9FWh5fx4/NLwUBShAAQpQgAIUSCABBiMT6GbNdVeXScXoUlkjUWUHjnZ/i+BAz1xf8o61r6ZBhqRKdsjrhr3Iqk9Zt1gsd6w/vDAFKECBMQH1C5FVq1Zig6wnOeS5BFfnF4AmQbb0ma2jONaOkb7qmZD9VxGQIGSerMe79q4NsC1dNmdLYajiNkNpZnSe/oMerDOSxUz6YsrKQtqmG0zVlqraqojRWFXtQMCgsxq6O3AA1dj7l1tgybOh6ueHZPh+/b/OX7agfEs2On7bgrbzfqjRnvjqH9H0OvDuGzWQmB+KH90L15lDsH7bJhmVVbBe6UDLx23wZsvRh0+EsyMlZnjwy90oscgarI/vlnYa0RUww26zo9xeHM7D1I85iMqNNiC9BK1n2mA734qmw4fgfBOwT7kpcq46M92C4g3SxjfNqJHA4tHzR1BukTUlY/W9042O4wdQ9atXULnOAtvGajhf5TTtKbTcQQEKUIACFKAABUSAwUh+DCYIqIIKa9cU4y5ZvyzXFNCDkiozJ3q64IQTEuyFvj5Z72V9XcjFUjTihz/8AStlJ9g9ZHcpkCoCKtCUnZuPNWVbUJCTicDlLpnaLL9EkXUWE2ULDUv2mfybq37BVSDZnmvvuhvLlq9ApgTb5npLy7UgJNmkf/inf0JfX99cXy7u7d94qrYEHyNTtVVVbaNO1fZ3q4zDYljHdNLNetBRfykRQBUEVKFJr9+ChuZGbC8OB9yjV0M155lhHv+4yNEBLyxlDWhs3gZLOqDWeRzfpH17jNDihGPcrbCud+DQp12wbKrE9p9LwHC8galP/KebYN1Sj3fbPahaHnk/Zt/N6DouY7Jc773ZokKs3ChAAQpQgAIUoAAFJgswGDlZhK91gdzcXCmosBZ3r1+PQpUpefkbfX0vNa05EbegTwpDyNpkmvwgb1tQiLIf/hB2u11f1ykRx8M+U4ACyS3w3fnzuNojATSZcmzOycVSCeDdXboRCwty9X/HgtcuSPa6B6FRWT/QYFtodFjvW/DaeZgGr2KhJV/vu10yITOnmXo8V0MwZedDZUmeOXM24QKSmT9wTDtV2yQF1O/y941X1R6QNUWNOFXbvK5C8hkP4Oip8KKMnR83ol0yDvX/8iQIaClB1aPVqP5RMVqqa9CVVobKrUDjJyqICXg/PQCrvR5eczicWfxQFaofr0Zxfwtq3nOFsx5v9OHxTw3chwOke+H8j7tRdZ8dntOxMiMjjUrgsqKkBlVvtaFmowX+fmlPsi7NsfoOCyp+Wg7nL45CH62/E87n2rlm5I3uD9+jAAUoQAEKUCBlBeR3ytwoML1ATk6OXuRmeNlSfTrY5SuXETKlIZQlPxDLd+OaPDfqFhqWKq1DAwjJD2w58sP84qU2qPUxuVGAAhQwssB5WR/S09sPFNom/MIkLT1drzatKk4P9PdBZcT1SVDSJNO3Q5k50LKyZSr3namWoWedDw0CUukZUgitoNCCwsUrkSO/2LrTm0lFjqDhzNmzuEt+waaKBSXCZpLAbdoP70XwsxMxu7tp1I9/kqna3d3deqBV/f9NFaYz1GaW4Fzrftg3W1E33rFamf4MVL/ThhNWBzRVaEa26rdOYMc6yZR85xiOrJD9u8L7D550wbbahramE3BYJQqrb9U44aqWZ35cz0OMvKWHOgFzUQnadzng3OqZcIx5XSVegKxVqjXICeV44aVatOySQjcPTTxOFZ7p/OiQBE9lfcvnHMiO9PPglz7snqbv+FkL9v/SLm1fH231nfkrOYbBrxSgAAUoQAEKUMCQAppUYAwZsmfslGEF9EXzr13TfxBOyzQjlKF+CJZH+p0v/BKUKYFQPxAPD8oPZSYULViABfLImocpgYa9YewYBaIEVDEUBuWjQAz21OVy4bJUg1YZkaoi70y2fpmC3NfXi355jAZGYZKgZCg9C1qGPOSr/NZoJs3M/BgpQhMakXV3Zbq4FhiC+nc3Xda5zMsvQL48cg0a7Av6JUNeKnhvuPtuZGdPDWHNHGD+jvR/8Q8Y+sWBmBcMyrdvB/JkUrJMfX/ggQdwt4xLBVpn+rmJ2ehc7ZQMRa8kFVpkXcfJmwqqm80WeUx8x69OUFO0JXA5vt2gnfFjop+opTSjz496T79unlxXvX+D46JOmfJ0+r5LbuRY21POCu/44rEnpnnHmLt7S8twofonxuxcVK/SJG14x30ro/bwKQUoQAEKUIACRhSY5ls0I3aVfTKKQGFhIdRDbeobcY88entcCErmiZY59kOwec6DkyqOrlfDlh+ITQE/Rv0+mOUHTKtF9c8u2ZA5RiFjPyhAAQrcVODKlSu4dOUqNOvMA5Gq0bz8fP0BLMPI8LAUbBnAoEzbHRz0YHhI/n1UFabll0Uhk/zCSJ7LjnBWu8psV4HKyUHPUBCyUDAQlKCjPFSmI4IBaPJVFf8Kyr4sczay5d/YXGuRnv2ogpFG31SGpJrKfObs1yiR4kCqUJDRtyzJjPSLtSb/f5u8meS+3T3Ujwu9vfrMBTVVW/1/z3DZkarjEmmMEYfUhzRd8ThzrBNu0M5kH/31Db7LnXDdGxwXs93IzgltRB1oZkG8KA0+pQAFKEABClCAAlMFbvHbr6kNcU9qCqhvxMe+Gff5wtU9eyVLZ6DXC1XdM00yc6CmEKofgmWKoab/MBz5QXgGZHribuSH4ZD6QVjWIjPJD8UqKycoPxSbs3MkEyQXBfk2PSMkXa7BjQIUoECiCahf7Fz4/nuYrEvDgcJbHEBGZiYK1cNyfUmK4aEhDMljZHhIL3QyImv/BoakQNnoqB5YDAXVBImxSRLySyXJLDJJoFIFtdS/qRnmTFnrMVse8lWyzOd73cdbpIh5mimnAKPy/5SzX5/TA5IxDzLQTk3802TtyOA//n3MXm2UX8Sdjqqqbcip2jF7zp33fvgbIlCAAhSgAAUoQIGUFWDkJmVvffwHrqa9qceiRYv0xlUwUgUo/TKtyueTCpgyfXrYN4zASAABCSya5AddTc/KMUUSc9SURMl2VBmPkpkTkgwWlZ2j1knLyMiUqdaZkokjU7YkM2LsWvEfBVukAAUoML8C6t/Irq5voBUulgzGcDXhePZADyByqYpx0rQ8K4Z7r6Drm29QvHr1+H6jPsnYXIGhaYKRq0MjSBvow7XI0ilLlizRg8aGnKptVGD2iwIUoAAFKEABClBg3gUYjJx38tS5oMqoyZfpg+rBjQIUoAAFYgucU4FICZCZZO1dbvMjoBUsQq/nIi5fvozFixfPz0Vv8SpZm8oxJLMA4JP1kCdt+lRtWQvz28hU7cHBQeRK0SBDTtWe1He+pAAFKEABClCAAhRIXQEGI1P33nPkFKAABShwhwW+/e47SG4bTDnhdXjvcHdS6/L5i2Rq/AV9nUUjV9hWU7VNqqr2p5/EvD8bpar27zlVO6aNkXcmQgEb39KV6PrpvzMy45z1rSgvC1tLbXPWPhumAAUoQAEKpLpAnEtspjonx08BClCAAhSYmYCaWuvx9gISFOM2/wKqqI8pvwhd3347/xef5RUz7quY9oxVwRFkDPTD4/HoReXU+qD6esvTnsE3KEABClCAAhSgAAUocGcFGIy8s/68OgUoQAEKpKCAWlP3u+/OSyBy4ZRi1inIcceGbMrORzAtK3wv7lgvbn7hrE1lkLLlMQ9U60NukKraPT0941W1VdVwbhSgAAUoQAEKUIACFDCqAIORRr0z7BcFKEABCiStwLcqECmBMJNUqeZ2hwXyFuKaZBX2yrqLRt00KfhmKrtv2u6pqdoDAwN6MLKvrw8q2M2NAhSgAAUoQAEKUIACRhVgMNKod4b9ogAFKECBpBTwer3ok8CRKW9BUo4v0QalV56We/Hd+QuG7vqNpmqvkKnamTJVe6yqtqrQngpTtTvf1qD9Tfus75v/tBNauRP+WZ7p/+qQZDIfmvV5s7wMD6cABShAAQpQgAJJL8ACNkl/izlAClCAAhQwksD5CxL0ymUg0kj3xGTOw+jQINxuN2w2YxatyLrnBxjKzQMk6Dh5G5uq/fWkqtrpUvwmmbfixzvQkV58a0M8NfvTzKu3o+1LwDz7U3kGBShAAQpQgAIUoECUADMjozD4lAIUoAAFKDCXAirYFUzLhCkrZy4vw7ZvRSDXiosXL2JkZORWzp7zc9RU7bTyzdNeZ2PAN2Gq9ujo6LTHJssb3vYWtHzmBQJd2PfkdjS8XCeZi5ItqdXjpDsyyu52NJSrffKoakD72H71dqATDVX70BWZ1e7+aB/q3+vUT3R/6oRDb0vDtpeb4VXHeNvQ+EEHvJ8ewrZdTeMZkv6vmsZfdx0/NH5e/eGT48fojfIPClCAAhSgAAUoQAFdgMFIfhAoQAEKUIAC8yCg1vG76HJJIRLrPFyNl5itgF5dO9eC7yUgadQtc/MfTdu1FRhF1kDfeFXtVJiq7XE3ov4b+TslIb+295vRkr0Dnj4XGnceQMVhNX3bjYZFDrT/9AR8Ix4cLdsHx0+bJxi2fHwkHGiUvR73EbR2y+RtCVLWbqlDfacPoREXql7fjr3H3fB7XTiwpwvmjQ60HK5BaySw2fpWDVybSoBTh7CmshWHzst5ng6Yd1Xg2Y+io58TLs0XFKAABShAAQpQIGUFGIxM2VvPgVOAAhSgwHwKuCQr0pRdABX04mZMAU2CkWrdRZ/PZ8gOZpRsBPLyp+1bydCAXojn6tWrGBwcRPJnR9pRHpk07UcVnC9VwpJnQ/VzB4E9bfCfbcU+2b//Z1tgTreg6lUPzr1VOcHPDnvUa/XcDKRbUSHPap56Fs6POlB5xoX9P5Lp+2Oz3vO24OhOoOGjrnB25WFg/1Pl6PqsBShzwNPZKhmbXciWIujO4x1R7fMpBShAAQpQgAIUoIASYDCSnwMKUIACFKDAHAuoqb+XL12CllM4x1di87cjoGkmuUcWuNyXbqeZOTtXM5lkqvb907avqmr39/eju7tbD0qmXFXtsSLi6RJQHN8mPrdaol+HDzKPBRnH37LhlT4POt6ogveTQyhdb0ddZPr2WLOVzxxE+64WtB9vRvvWRlQWRd5R8UxJrvTL0p7le47g6JO3uKbl2IX4lQIUoAAFKEABCiShAIORSXhTOSQKUIACFDCWwKXLl5EmWXda2ljUw1j9Y2+uC5jkPnm9HgwNDV3faaBnmfdPP1V7WSgAc9RUbTWGVKiqPe3tWV0ueZHNOPGVrCsp28k3s2F9WrIXx7aAHy60oMstO2TdyWZ5z64Ckt6T0PJrgYeq8cIbR3DiJclwvCARxqjNXLYdr+BZOP55A/a/WqW/Yy2SSKTLgopHq1D9eCX8H2+HU5InuVGAAhSgAAUoQAEKTBTgT0UTPfiKAhSgAAUoEFeBYDCIKxKMNC1cHtd22djcCKhCJybJYFUB5JUrVszNRW6j1Yy7S+HLlwzbvp6Yraip2v8Uqao9MDCA3NxcJHNVbT14qEuYJ1a5LsuWadUlcLYehL3cijr9mGocc1VLsNEp06llh7kEe18tx7YVmv5u7c7IpG9LOY6+1IXSjPB+SEjzaKesCYk2OU/a1Tcban5VjX1Pl6CmzBLe8/h+NH5ihVV7NnzIj9+F68fMjAxj8E8KUIACFKAABShwXUCT35iHrr/kMwpQgAIUSGYBj8cDq5UFVObzHl+WoJbrqhdaweL5vCyvdRsCodEARrvPo6zshzDJ1Gijbf2/PozR//7bmN36Hmn49aLVKC0txf33349Vq1bBbB6ffxzznKTfKRmQfklsNOfFdvD3qzclmDnpV/T+fm/4PItlyns3MvN75TyZKm6Z5nrq3C8ee+JGTRjiPd/Slej66b8zRF/muxNFeVnYWmqb78vyehSgAAUoQIGUETDed9gpQ8+BUoACFKBAKghcvnIFIfP0RUdSwSDRxqim06dl5+prLxqx75mbVXmV2NsyqaqdzanaE3EkMDhdIFIdqN6bHIgM77fAUjS7QKR+ngQvbxSIVMdwowAFKEABClCAAqksMOl3wKlMwbFTgAIUoAAF4ivQ19eH0WAIpsyxqZ3xbZ+tzZ1AKCsfV7qvYvFi42W0qqnagzJVW5t2qnY//iBTtVUhm1SYqj13n4K5a/neD38zd43HseU/jmNbbIoCFKAABShAAQqMCTAzckyCXylAAQpQgAJxFui+eg3BrLw4t8rm5kPAlJWNkUAAg4OD83G5WV1DrWuZfu+D056zaXRID0JevXo1NatqTyvDNyhAAQpQgAIUoAAFjCDAYKQR7gL7QAEKUIACSSnglTU6TWYGIxP25mbl4tq1a4bsfub900/VtstU7dyoqdp+WTCRS4Qb8jayUxSgAAUoQAEKUCAlBThNOyVvOwdNAQpQgAJzLeCVIhamzCyo9Qe5JaaApoKRnitYvtx4ldAz1m/AYKEVWo8nJq6qqt0pywSo7Eg1VTsvLy+pq2rHRDDwzmQtYLN+cR4eXL3QwPLsGgUoQAEKUIACRhBgZqQR7gL7QAEKUIACSSfg8fYglJGTdONKpQFpGVkIhkIJOVV746gP/f39ejBSrV06MjKSSreOY6UABShAAQpQgAIUMLAAg5EGvjnsGgUoQAEKJK5Ab08PtCwGIxP3DkZ6npmDHrmXRtxuNFXbhiDyI1O1PbJcwNDQEKdqG/Emsk8UoAAFKEABClAgBQUYjEzBm84hU4ACFKDA3AqooichKTKipWfM7YXY+twLSCV0b0/v3F/nFq6Que5uhCwLpj2zZHhAL2AzNlV7dHR02mP5BgUoQAEKUIACFKAABeZLgMHI+ZLmdShAAQpQIGUE1PRYTYJY3BJfQN3HwYF+BINBQw7mxlW1/fp6kaoIT29vb8pP1faebUf7Bf/U++hvh6Y50C6FfpxV2+Xr1EOm3ePtwslT7mnf5hsUoAAFKEABClCAAlMFGIycasI9FKAABShAgdsS6Ontk/UizbfVBk82hoAmGa7pWdl6UM8YPZrYi8wH/mjijqhXi2WqdkF/L9Q0bVVQKdWnars+dsDxXleUUORpegk62htREvkra55NzSl3CyrKj0xtk3soQAEKUIACFKAABaYVYDByWhq+QQEKUIACFLg1gUGpXqwxGHlreAY8KySFbFRFaiNumWvWI7SgaNqulY4MJv5U7YAbTc9vk+xFWfpA24amz8OZiN5TTdim79Pg2OWEW2U0Brqw78ntaHi5LnJ8PU7K4e7f7kPpc/L+i6VoOu1Fy2t1qH+tQW+v3e9Cy69a4AoA2XldcL5eHzl3O5q/8uq2XR80oOGDSCBTv0YDOr9pwbaSZ+X9Z1H3Xmf4uOOH4Ij0qf7wScwmyVJvgH9QgAIUoAAFKECBFBBgMDIFbjKHSAEKUIAC8ycwPDysV2DW0maTXjV//eOVbkEgPQt9MvXeqFvmfVum7dqm0fBU7e7u7oSdqt26x46a09Vw+UI492E5ajbvRpe7FdbyGtR85kJoxIN61MH+dLM4+NH2fjNasnfA0+dC484DqDjcDtvDL+DYq+XAS0dRvcEM70knDuxx49iXTpSb/Wh8sxFeCUaivx0HfBVw9fnQ8WEJtm+qQadEFP3dLdh3IRyYBLw48n4L/LYqHGzdKye9glceL4H/1CGsqWzFofM+hDwdMO+qwLMfhQOn094gvkEBClCAAhSgAAVSUIDByBS86RwyBShAAQrMnYDP54NJMum4JY+AJsFIdV+NumVsnj4YWSRTtS1SVVtN0x6rqm3U9S9j+koWYtPrwLtv1MAm06iLH90L15lDGPofTcDWRuy4zwakW7Bjj0yVft8ZDhyiCs6XKmHJs6H6uYPAnjb4082w2+wotxdDmgFcwMEvD6Jyo5wvm13+U5vPVY6jz1fDlmdGyaPPSpixBa2nVX6jnBs+U55LW5Hji+1yflkx7NJo12ct8twBT2crWj7rQnYZ4DzeoZrlRgEKUIACFKAABSgQJcBgZBQGn1KAAhSgAAVuV8AvRTBCaayifbuORjpfVUUPjIwYtohNRvE6oGjxtGSlUVW1VXGlhApGRiY6R5eDMkugMOSRaOKGcCAxPHAVMCyBdSwhWWU5qk2CkLG2aUPLEqy0542dYYa6rlWuN92mropTUe+qmKbs9EsibbkESI8+WRz1Jp9SgAIUoAAFKEABCigBBiP5OaAABShAAQrEUWBQZdAxGBlHUWM0lZaRCRVoNuqWcYOp2htlqvbg4CCuXr2aeFO1pbhM5Vag8ZPwmozeTw/Aaq9HTkU18OYhtEdmTrd/0AjsrIRtLBg53Y26yT3MRjNqZVq32rxftaBBsizLV8sLWVeyvUsCoLK5j8s0cPmqhyj1oKdfD5laiyQS6bKg4tEqVD9eCf/H2+GMUS9Hb4R/UIACFKAABShAgRQWuNm3bClMw6FTgAIUoAAFZi/g9w8BWQWzP5FnGFtAAsyqGnVOTo4h+6mmao/81/87Zt8WylRtq1TVVlO11UMFVbOysmAyJcbvpKvfOYYjKxzQdoWHd/CkC6vuseHYWy1wWLXImGvR5qmS5ypoaR6fUK2/WRbOqzQXlaB9lwPOrR494zFy4vgXPbgoWZHtz8m1VLEb2Q62ulAi3y37t+5F+fpHoL0pO7fWSojSrgcgzRar7NiOmsOVOLpzvwRNrbBqqqiNbD9+F64fMzMyjME/KUABClCAAhSgwHUBLSTb9Zd8RgEKUIACySyg1oyzWtUPz9zmSuB3X36JUKENGrMj54r4jrQb7LsKuzUPS5YsuSPXn8lFe176t8CVSzEP/e9p2Ti1bC3KysrgcDhgs9mQnp5Yv5P2eyUzVaZMm6O73S8BVtltKbLEHPeUnSqTMfr8KQeEd/glaAuzBeboGdoByYCUa6lp4hO28Snh189Va1RaJh8XddIXjz0R9cqYT31LV6Lrp/9uVp1bvzgPD65eOKtzeDAFKEABClCAAqknkBi/Ek+9+8IRU4ACFKBAggoERiQyYZpBtCNBx5eq3Q6Z0jAs60YaecvYXDFt9zaNDmFgYCAxp2pHRmW2TApEqv15lpkHItXxM/yrabZMCkTq58r1YwUYVZtR7apzbxSIVE1xowAFKEABClCAAqksEPWtUyozcOwUoAAFKECBOAnIrFFNG5s6Gqc2DdhMYHRUn/Jrlum+eXnjFT8M2NP4dEmTYOSI4YORMlW75YOYA14gU7UXRlXVttvtCTVVO+agEnjnvR/+JiF6/8cJ0Ut2kgIUoAAFKECBRBNgZmSi3TH2lwIUoAAFDC1gkqBVsm8ejxc1T/xL/Is//VP88z/dhpf/6i0MDQ8n97BlfcVAYNTQY8xYsRpYoso5x95KRwbQ19enZ0eqLMnEqqode0zcSwEKUIACFKAABSiQeAIMRibePWOPKUABClDAyAJacv+vVa00/Z9e/jf4+rwbGzc/iHUrrPhvzb/CwaN/b+S7cvt9k/s6GjR2MFIN8sZVtYfQ39+f0FO1b/9GsgUKUIACFKAABShAgTstwGnad/oO8PoUoAAFKJBUAsk+Rbuntxt/99nX+j179+D/gWtXr+GFf70V/9/fHcMLjz+cVPcyejDqvoaCxq/5l3n/H2HkaHN018efW2Wq9mJfP1Qhq2vXrulFbBKpqvb4QJLgSSIUsBlcvgrf/EWkrPgMzVnAZoZQPIwCFKAABSiQ4gIMRqb4B4DDpwAFKECBOAsk+XqRGRk5+M/798OyZCkgaZL/9QMnOq8BW394b5whjdacBCNVWqjBt/RlKwDbMsD9fcyelgz14/OoqdoFBQUwyRR0bhSgAAUoQAEKUIACFJgvAX73OV/SvA4FKEABCqSIgPEDVrdzI3JzcvDHf/InSA8NoK7mX+Gtw7+B7W4H/rcdP7qdZnluHAXS73tw2tY2BjlVe1ocvkEBClCAAhSgAAUoMC8CDEbOCzMvQgEKUIACKSOQ3LFI/Tae+G0T/vXTO/HV1278+z1/hd/88u0UqKgdSpgq6VkPTF8D2YIQlgz26ZXQ1XRtn8/HQjYp848TB0oBClCAAhSgAAWMIcBgpDHuA3tBAQpQgAJJIpAIU3lvh9rn8+O5l97Qm/jLXf8rVlsy8enJk/ji1Je306zhz1X3VTNphu+n6mC6XaZpL5Xp2tNs94wMjlfVVgVtRkeNX5hnmqEYYLcfTeUanF/5DdAXdoECFKAABShAAQokhgDXjEyM+8ReUoACFKBAogiEgonS01vq50VXx/h5/+Wd/3P8uXry+eefT3idVC+CQaSZ0hJmSGqqduDD8zH7q6ZqH5cgZHd3tx6ULCoqQkZGRsxjufNmAmb9AIYib+bE9ylAAQpQgAIUoMB1AQYjr1vwGQUoQAEKUOC2BYLBUSTztIPCgpU49Ld/O8Up25w9ZV9S7ZAgc3p64nzblHX/H0sw8v2Yt6BApmrbfH3o6enRq2rb7XaYzWYWsompFWNnwI2mF2tR82YLqn++FzgFVEUOa3+vAY4d+/RXL7xzDHt3ViIcrozRDndRgAIUoAAFKECBFBVInO+qU/QGcdgUoAAFKJB4AvqU3iStqq2y6NQj1baQBJkzzYnzbVO6zQ4sWwl8/13MW1U6PIh/iFTVVlO18/PzGYyMKTV1Z8szdtR438U5TyP8xw+h9M1wMNJ7XAUi3Whz+VCe3on6RQ48W3QO7z5ePLUR7qEABShAAQpQgAIpLJDMyRspfFs5dApQgAIUuFMCevbcaOBOXZ7XnSMBTQUjMzPnqPW5aTZj85ZpG1ZTtQckCHn16lX09vZiZGRk2mP5RrSAGycOA41/VYtiiwUlj+/GfnlbTdNu/cU+VDe9gnKb5EIWlaO+uRbOV0/q70W3wOcUoAAFKEABClAg1QUYjEz1TwDHTwEKUIACcRXIkIBVKMhgZFxRDdCYJvc00YKRWff/0bRy+TJV2z7YO15V2+/3s6r2tFpRb/hdaJGX5ryxfWZY9Kd+eM4AxUXRyxV4gM0WTtMeo+JXClCAAhSgAAUoEBFgMJIfBQpQgAIUoEAcBcxZWUCAWWZxJDVGU6MjCReMTFtsg7Zi9bR+94z49AI2qpANq2pPyzTxDXMJdpcBzo/a9f3+0y2ok2dm+a/imSoceLMVXvVOwIujrzajdqtDP45/UIACFKAABShAAQpcF2Aw8roFn1GAAhSgAAVuWyAnWzKjJHDFLbkERkeG9SIviTaq9Pumn6p9z+gQBgcG9KnaqpgNp2rP5O6aUfvRMWCXA5qsC5tdsl0/KVuWEy35SycOogZW2a9lWFG3uRH7H7fNpFEeQwEKUIACFKAABVJKIHFWYk+p28LBUoACFKBAogqoqsTaqEzP5JY0AiHJdE3PyEjIAi9ZD/wRRj54L+a9yNNCWCZTtVUg0uPxwOfzsap2TKlJO5dX4qhklXq9fliKwpO0w0fYsLslhFqvV9aJlOnbFtbRniTHlxSgAAUoQAEKUEAXYGYkPwgUoAAFKECBOArk5OQgODIUxxbZ1J0WCAWGkJ2dc6e7cUvXTytaDG3VmmnPLZGq2qqAjSpkw6na0zJNfSNdgo0TApHXDzFLYRsGIq978BkFKEABClCAAhSYLMDMyMkifE0BClCAAhS4DYEMPYNOQ0gqamtp/N/sbVAa51QJLudbco3Tn1n2RE3VHvn2XMyzVFXtv4tM1VZByUWLFkF9hrnNrcC9H/5mbi8Qp9YfilM7bIYCFKAABShAAQpECzAzMlqDzylAAQpQgAJxEMjJyUVo2B+HltiEEQQ0yYzMzU3cYGTW/RUIhUIxKXM1YJmvT5+qfe3aNX2qdjAYjHksd1KAAhSgAAUoQAEKUCAeAgxGxkORbVCAAhSgAAWiBAoL8qEFGIyMIknYpyqIFxjyIS8vL2HHkLZwEUxr1k/b/3s4VXtaG75BAQpQgAIUoAAFKBB/Ac4fi78pW6QABShAgRQXyM/Px0X3JUjSGbcEFwgN+5CTm6dXTk7koehTtbvOxhzCPaFh/Lf+fqjMSE7VjkkU951fPPZE3NuMd4ODy1bhm798blbNrl+chwdXL5zVOTyYAhSgAAUoQIHUE2BmZOrdc46YAhSgAAXmWCA7O1sCkSGoKszcElxAgpFWS2GCDwLI2jyJFkdMAABAAElEQVT9VO0c+ayu8PdLdWivHpBUVbVHR0cTfswcAAUoQAEKUIACFKCAMQUYjDTmfWGvKEABClAgwQUKCwsRGhpM8FGw+5ApzAUFBQkPkbZgIUxr7552HKUyzr6+PlbVnlaIb1CAAhSgAAUoQAEKxEuAwch4SbIdClCAAhSgQJSA1WKBNsJgZBRJwj0NSRVtk6YhJycn4foeq8MZkh053VYqVbX9karaPT09GBlhVu90VtxPAQpQgAIUoAAFKHB7AgxG3p4fz6YABShAAQrEFFCZkUEJZoVGAzHf507jC4SGBrBggdX4HZ1hDzPve1AmZMfecmSB05VSVftGU7WD3msYOvaxfKY5hTu2YtTegBftn7aDZayiTPiUAhSgAAUoQAEKRARYwIYfBQpQgAIUoMAcCVitVnhkLb60XMscXYHNzqmACkausM3pJeaz8TTrApjWbUDo7OmYl1VTtf9fKWRz9epV9MtXNT1d6+/DyOefyuMERs/+AaZFS5D1yFaoKuNjmybZo9wmC7jg2OJA20gI5fxuezIOX1OAAhSgAAUokOICzIxM8Q8Ah08BClCAAnMnULRQ1ukb6p+7C7DlORMIynqfGenpSTNFewwqY/OWsadTvpaoqdoShOxzXcToJ63wvfEa+ur/Dfzv/RKjZySAKQFIbcVqDA0NYUCmdKuHms4dHZic0miS7Oj6aB+2P9+A+ipNr6xef7g9PDLJgGx6eZu+T9MccB53A4Eu7HusVH/f8UwTsyOT5DPAYVCAAhSgAAUoED8B/q42fpZsiQIUoAAFKDBBIC8vD2kmEwJSkdmUmT3hPb4wtoAmQeTFi4qM3clb6F3mvQ9i6L3/S6/2Pvn0bElw/GmvC4vbz8tamZPfDb/2FS2G67vvoCpuZ2ZmYvHixVBLEqSlpcU+IUn2+r1taH6zC0fPeNDgb4F1kwPbfxyC76+tqOluhMt3FObTTbCW22E9H8IL7xzDkRWPYO+L1TAniQGHQQEKUIACFKAABeIlwMzIeEmyHQpQgAIUoEAMgSWLF0Hz98V4h7uMKqDW+Rz1D2ChZLYm25ZmscJ0V8m0w7KFAtMGItVJZ3wj+Pzzz3Hq1Cl8J0FJNZ07GAxO217SvOH3o/ytRlSts8CysRrvysDavj6NpteBxhd3wCYRR0vZDhzdCTg/7oTZZocdVShezVBk0nwGOBAKUIACFKAABeImwMzIuFGyIQpQgAIUoMBUgaKiIly48D1MOSPQ0jOmHsA9hhMI+XqxqGgRTJLVmmxbaHAAJutC3EoJGjUd+++/PY/e4RF9+np+fn5KTNGO9RnILoNMv+6BS960RS0J6/cCdpsqeuTRT/Or+lX8blu34B8UoAAFKEABClBgTIDfHo1J8CsFKEABClBgDgRUcY/Fkh15pa8HWn7yTfudA7I72mQoFERwsAeLV4fX/LujnYnTxUODgxg59RlGPjuJQMfvgFus8H7VlI7vLl/Rg7RmsxnqoaZqJ2PQ9mb0PnVA1t2okaDkgQ/aUbmzHOhuh/N9oPYNVfRIBSMlVKmCkdwoQAEKUIACFKAABSYIMBg5gYMvKEABClCAAvEXWLJkCdyXfgctxwItjf/rjb9w/FoMDvTAKlWns7Ky4tfoHWgp5PdJAPLzcADy96ckKHb7UbHzIROGh4d1G+Wj1kRVX1MlGGmPmnEdXgHWjB0fy9qQdge0XeGbXPurNlQvl+cBM0rQDsdDTvjaa7lu5B34O8BLUoACFKAABShgXAH+RGTce8OeUYACFKBAkgikS1VmFZC82idzOJkdadi7GpK1D0ODXthXTb+momE7H+lYSIKOvv/ytxj54h8kIDYS1+5e0NL1qtGqWI3KiszNzdUzI1X2b7JvJTuP4uj4ICUI2R6KvKrEkZEQvF75u22W9STzIrvTi7Ff9u8fP4dPKEABClCAAhSgAAXGBJJvMaSxkfErBShAAQpQwEACdpsNQV8fQoFhA/WKXYkWCA149KI1KtCWqJsmge/MR7ZCM4dz9+I5jgtI04ORGRkZeiAyJycH6nnKb/KrfUtRVCByDET9yp+/9h/T4FcKUIACFKAABSgwLsBvkcYp+IQCFKAABSgwdwIqm2zp0qVwX5W15AqXzN2F2PItCaggcXCwF0vXbryl8410Uvqa9cj531/DwH/eJ+sYXo5L11Txmu9N4WDk2BRtFbRNlSnacUGMauTeD38T9cq4Tx8ybtfYMwpQgAIUoAAFEliAmZEJfPPYdQpQgAIUSCwBNVXbFAwg6B9IrI6nQm8lK3LZsqVJk+mnLVqM0d0vwr/YHpe7d0WyIoc1kx58HAtGptJ6kXFBZCMUoAAFKEABClCAAroAg5H8IFCAAhSgAAXmUWDF8mXAwLV5vCIvdTOBoK9fQm2j+rqeNzs2Ud5X6zimFRTi0van4S5S1Z1vb7ugpekNqExIlRGZasVrbk+PZ1OAAhSgAAUoQAEKRAtwmna0Bp9TgAIUoAAF5ljAYrGgwONFb99VmPIXzvHV2PzNBEIhKVrTfxWr1q652aEJ9b4KGmZnZ2PJ8uU499ifY7ClGWvc393yGMbWi1TLDah2VTAyMzNTX0PylhtN4RO/eOwJw49+cHkxvvmLZ2fVz/WL8/Dgav67Nis0HkwBClCAAhRIQQFmRqbgTeeQKUABClDgzgqsXLEcGOpHcMh3ZzvCqwMSFC5auBD5+flJp6GKy1itVqxbvx6j/+rPcXptKdTaj7eyjVXSVm2qwjUqIMniNbciyXMoQAEKUIACFKAABRiM5GeAAhSgAAUoMM8C6VLxeNXKlUB/9y0Hh+a5y0l5OVXdPC04ghUqOJyEm5qqrbIXVUCyuLgY5qrH8bsfPCAT0rVZjTYoAcyLWrqeBTm2XiSL18yKkAdTgAIUoAAFKEABCkQJMBgZhcGnFKAABShAgfkSUAGiBVaLZOZ1z9cleZ0oAb16du8VFK9eFbU3OZ+q4HdhYSFWrVqFoh9V4XcPVsIvxWhmul2R9SKHJbAZvV4kg5Ez1eNxFKAABShAAQpQgAKTBWb+nejkM/maAhSgAAUoQIHbEli5YgUytFEEB7y31Q5PvgUBCQIvl/UUc3Nzb+HkxDtFBSTVVPQV8plb+s8exu8f/jP0p2fOaCBqvUi1jQUjVTspV0k70Ilt2jZ0+ieT+XFIArUHTk15Y/KBfE0BClCAAhSgAAUoEBFgMJIfBQpQgAIUoMAdFFgr02cx2CPrRw7ewV6k1qVDkhFZmJ+LxYsXp9TAVfEZFXxdunQpVj9YgTNVT+Ca+ebB2LH1IlVAU2VEqjbUepFqGnjKbVNKP5qx/cs21GwwpxwFB0wBClCAAhSgAAVuVYDByFuV43kUoAAFKECBOAioDLPi4tUI9lxCaGQ4Di2yiRsJjPZfQ5YphNUyZTkVN5XdqArQ2Gw2rClz4Py/fAruggU3pPg+sl6kCkaqQOScFq8JuNH0/DY90KlJJmLT5269b/6zragr1/T9255vgjugdvvR8nId6l5rkKxF9Z4Dzk/Dx7s/dcKh79Ow7eVmePXjgfb3GiJta6g/3CotyBbowr4n67Dvte3Qyp3wu0+iPnItrWof2iMrKZjRgoZn5BjVbnn9+P6OD46grVtaOivv/40TB3Y59GO2v9YC5jwrYG4UoAAFKEABClBgogCDkRM9+IoCFKAABSgw7wJqPT81ZTvUKwHJ0dF5v36qXDAoGajpIz6sW7smVYYcc5wqIKkCiiozdN09G3H18Rp8s2hpzGNV8ZrvYdKDa2NZkXO5XmTrHjtqTlfD5Qvh3IflqNm8G13edmxf/wjKf+GSgL0Hu801sD/TovfXe8oJ5x4r9nt86GhyoG5LowQeO1G7pQ71nT453oWq17dj73E3vMcb4NjhRptL9l9pA3Y9gmc/6JJ2/Gh734mG81Xo+OjP0Ly1Al0vdujFpU48fASOv2odt/Gv3w2Pz4PGzQfg+EW7fm7Xnn3okoClP+DFvhfrYNnVgpCnA8V7tqHm153j5/IJBShAAQpQgAIUoEBYgMFIfhIoQAEKUIACBhAoKiqCbfEiQAUkQ0ED9Ci5uqAqZ2PQi/Xr1kJl+KX6prL7VFau+tytvesuDD2+A39YsW4Ky2VZL3JEit2oAKY6Xq0XOWfBSMlQbHodePeNGthk1nPxo3vhOnMI1m/bJCexCtYrHWj5uA3e7HLg8IlwdqQLOPjlbpRYzCh5fDfK0YiugBUVMpKap56F86MOVJ5xYf+PbGj9xT5UN72CctV4UTnqm2vhfPWknh3pl/bb/rYWJcuXwLYVaN5Rg32Hm2HeegS+v67UXdQx+39eCYvZgupn9gN72sKZlWXytvpIBXzA1kbU3mcDLCVoOLkXLU+fCB+jt8A/KEABClCAAhSgAAWUAIOR/BxQgAIUoAAFDCKgps4WWQsBNWVbMtK4xUcg6O9HqO+qBCLX6YG0+LSa+K2ogGRmZiYWLFiAtWvXIuOxH+OrEgeiQ+EXpJK22saK1+Tl5c1h8ZpwEZjsKFpznhnmrLEdfj370FLWgMbmbbBIAFDCf9e3dDPs8h9gwyt9HnS8UQXvJ4dQut6OuvdOwXNGApxF0a17gM0WSGgyvEWmcle+6sO5L/fD5j2B2k1rkL2jeewIuX7kqQQkp25+lJfJGrBjm096VxZ9vbE3+JUCFKAABShAAQqktgCDkal9/zl6ClCAAhQwmMCyZcuwsDAf8MqU1GB0WMhgHU2Q7gR9EoiUgjXr169LmcrZs701qhiNWipg9erVKPzTP8P/vO+fYRjh4jQXTeFCNSqbVE3tVmtGqgDmnBSvSS9BpWQlNn4Sntrs/fQArPZ6eM1WfUjFD1Wh+vFqFPe3oOY91/Ug4uQB95yEll8LPFSNF944ghMvAc4LIVQ8U4UDb7aG13GUKdVHX21G7VbHpLO9OJCRjZPpFaj9D/tx4uQrwPuumWU3plvR/vpetOsLRXrRIpmYVc+XT9/PSVfmSwpQgAIUoAAFKJAqApynlCp3muOkAAUoQIGEEVi+fLkEe75H9zUJSBYugZbG/13fys0LDvYCAx7cJdOQVRCN2/QCKthYUFCgZ0Cm/8n/gt/n5uPu//H/4FpOgayzGdSrZ6vCNyogOZfT3KvfOYYjK6QAzK5wXw+edMG22oa2phNwWMeqd1fjhKtaDvBjat6hZFIWluPoS10ozRg7vgpHO0tQss6Jgx/YYdVqwo3vbITncZlSHZAMSdnCGZIyBfvDV7CmJBuRo7D3w47Ie9J2+Mzwn5Gsx4l9cF3vZ9kr6PhxSfQZfE4BClCAAhSgAAUoIAKaTAPjPDB+FChAAQqkiIDH44HVGs4ySpEhJ/Qw3W433JcuQ1MByYzxuaoJPab56vxovwdpwwP6GpEqgMZtZgKjUkDJJ9OL1Wfv/P9sR8f573HxyhV9anZpaSk2b96MpUuX6sHJmbV4a0f5vTJlW03Rjo7D+/1Quy2yPuRMNn+/F3IKzBaZih3Vjt8r+yWseMN21LX6VR8sskbkTK4modGvDqHmeCWO/NtiyCVu2P4Xjz0xs0bv4FGDy4vxzV88O6serF+chwdXL5zVOTyYAhSgAAUoQIHUE4j61iz1Bs8RU4ACFKAABYwsoNaQVFNov/32W5gkIGkyM7tvJvcr1NctoaZRrNtw95wHzWbSn0Q6Ji0tDSoDcizgGLJ+DXNXF0ZGRvRfZKgiNmr9yLnezLEigGYJIM4wMKj6Z5ZAojlvak/14OTU3RP36NeaxcXU2QE/mlW0VA90TmyOryhAAQpQgAIUoAAFrgswM/K6BZ9RgAIUSHoBZkYm5i3u6+vDOQkIBbPykZbHzNbp7mJodASQQGR+TjbWFK+e7jDun4GAmjjjl+zAq1ev4vvvv8fAwACWLFkCtYSAms49J2tGzqBfhj7E74W73wxb0SyDmIYeFDtHAQpQgAIUoAAF4i/AYGT8TdkiBShAAcMKMBhp2Ftz046pzLRzXd9INV8papNfBM0UrnJ80xNT5AC9YnZvt2T02fWgWYoMe06HqQKSw8PD6O/v1wOTarq7qqatCthwowAFKEABClCAAhSgwK0KMBh5q3I8jwIUoEACCjAYmYA3bVKXL168iEuXr0i14CJO247YBPuuwjTiQ/HqVcjPl0rk3OImoAKSQanqrtaSVNOz1TRuZkXGjZcNUYACFKAABShAgZQUYDAyJW87B00BCqSqAIORyXHne3t78e133yGYLtNBcxdIluTcr+FnRLng0CDQfw2FBflYtXLFvKxlaEQH9inxBBKhgI237AFc/LMnZ4W7blEethSzgM2s0HgwBShAAQpQIAUFUvOnlxS80RwyBShAAQokj4Bas2/Txo1YkGtG8Op5BH29yTO4GYwkFBxFqPcKTANXsXrlcj0jcj6KqsygazyEAhSgAAUoQAEKUIACFLiJAKtp3wSIb1OAAhSgAAWMKrBixXKpcGzB+QvfY9g7gFCOBabMbKN2Ny79Gh3wIiTZkIulmMqypes4ZTguqmyEAhSgAAUoQAEKUIAC8yfAYOT8WfNKFKAABShAgbgLqIIiJRvuDlc9vuhCKC0DyCmElpFcFX2Dg5L9OehFvox3eWkpzObkGl/cPxhskAIUoAAFKEABClCAAgYV4DRtg94YdosCFKAABSgwG4GFCxfiB5s2wl5kBXovI9RzCcFh32yaMNyxevGUgR4Eu79DDoaxbu0a/cFApOFuFfynndDKnfBP7pq/XbJXHWif8sbkA+P8+mbXDXjR/mn71P7GuRtsjgIUoAAFKEABClBgqgAzI6eacA8FKEABClAgYQUWL14M9bhy5Qrcly8jOKAhZM6HKTtxqkyHAsMI+fr0tTALCgphkyCkygDlZmCBgOpbNqbkq6aXoKO9EcVT3pjjsdz0ui44tjjQNhJCOb8bnuObweYpQAEKUIACFKDARAFmRk704CsKUIACFKBAUggsWrQIm+65B6tXLJOswiEELnch1Ndt2GzJUDAINRU75JWp5l43FuWbcY9Mx1bZkAxERn0ku9vRUK7pa2VqVQ1od4ff6zp+CA4tvL/+8Mlwxl+gC/ue3I6Gl+vCx2v1OKkf78fJw/WRfRoa3msPNyLZgk0vb4vsd8B5PNL42RZsf7IBDU9q2PZ2J9yfOsevte3lZnhVIDJd1io9VYO6XeHzHc83hffDhZZftcAlx3R9cAD7DjtRF+nnvo86owY29WnXR/uw/Xl5yPGHvpLUSn8XDu1yjI+99UIk3dJ9EvXjJvvQ3q3aun7dKf2VdvY9Vqpf0PFMk27lPu7Etki/HE8eQLtX3p7WT96bzX3Qr8Q/KEABClCAAhSgAAXGBBiMHJPgVwpQgAIUoEASChQWFuKudeuwUQKTNms+MnxejF75NhyYHJKiN6HQHRt1KDAiAcgePfg4euUb5JkCWLXMjrIf/gDLli1DVlbWHeubMS/sRsMimfL80xPwjXhwtGwfHD9thv/UIaypbMWh8z6EPB0w76rAsx+pQKIfbe83oyV7Bzx9LjTuPICKwxJ4PN2Mil1edPSFELpyAi07HGiVAF7rHitqumvg8oXgaa9HXaUdzRekFQlSNr+/D+4fHYPzKaB2Sx3qO+VaIy5Uvb4de8eClnLFkqcOwid9cLxZg0OnVETPj8Y3G/XApL+/FQ27WrD7ig+eLxvRIAHBptPTz9/2e9vQ/GYDqlo7ULPBD+eWNWjZdEjGHkLHz4BHVjTAHfCjaWsFul7s0D/LJx4+AsdftV6/rr9zan8/ycYL7xxDuRx19MVqmAOdqKqsQ40aU8iHvcvrUfu+CpRO44fZ3gdpihsFKEABClCAAhSgwLgAJ6aMU/AJBShAAQpQIHkFMjMzsUQqUKuH3+9HT08PPN4eDHjcSM/KQShDAn/y0NLN0NLS5gQiNCLTr0f80AJD4a8IobCgAJaiJbBYLHrG25xcOFkaPduKfaiSQNwWmOU7uKpXPTj3jWQcHq8Byirg6WxFi4w1uwyS1diBd7faJZxWBedLlbDI8dXPHQQ2tcH/s2I5yoma54vR8FQVjrh8KLZ0oe51oPHMDtjM8nbZDhzdKQHFjyVQ95Bae/RdHNxZKdOw3aiQVzVPPQvfnh2oPONCyTqbrBkZPuaFh1XbwO6/LkftyS68UmaGXf7TN4k7VjftR3mRXKBoB9perUHtbzuxY4MKC8bY5HNa/lYHah8ukbhgJ5pPAeUWD1o/llH2q+MPoK17P2xbgeYdNdjXL4HLrUfg26D60Bm+bro1Zn8R8Mj7VSheLX2RKd2tZ9rQ1tWKpk86ceRNwP5OuD8x/Z7Knt19eNQWbox/UoACFKAABShAAQroAsyM5AeBAhSgAAUokGICqgCMCkpuuPsuOBwOFK9chiUF2cgODEpm3YVw5qSaLi3TukcHvAj6+2V6tx/6Wo7BUckeC8rjOprKrlTTrEOjAQkyDiE4NKiv9xjsv4aQKqZz7XuMXDoHU/8VFKSPYmmRBXevX4cf/uAHEgxaDavVykDkdc6bPFORwrHNDKsl8lrF+yTYJ7cK5XuO4OiTKiAX2fT1HOW5BJr1ragSvivnsH+rDSd+UYs19mw0/eGyTGwGbJbwIepPvyQ22m1SEGnCZsMrfR50vFEF7yeHULrejrr3rk+3HstzNFtUh6L7Ki/9ZjiKr7fnV/HLmVZFj/z6PFt9lWxI5FXgSNNRlMhSopWv+nDuSwlKek+gdtMaZO9oloPGtpv0V9m4W2Fd78ChT7tg2VSJ7T9Xk7yjtsl++lvRY5vhfYhqkk8pQAEKUIACFKBAKgtEvrVLZQKOnQIUoAAFKJC6Apqsk1cg2YnqYY8ksI2MjMDn82FoaAh+eQwNDWNEpnQHAgGMjkowUg9ISgAywiYrFUIzaTCZ0pAmWZUZGRnIzMyAOTdbn2qtgp/qYTLxd6C39UlbXS65fDU48ZUXJWUWnHwzGxXHj8C1U26cy4KKR6tgkYhk865sND58DlX3xb5az6f7YHu1GL6WWlQ+vh1WzQrXyN2okYzKAx+0o3KnZCrKmojO92VK9huS1adnIUba8p6EZt2PjpEjeOHhalSYNVTI2o0H5ZSbbhY/Gn52BLvba2Hp74RTMjHrO6OCpjdsQGVYApb1FTIuGeXpJmSXtEo/KnAgwwq7TLGu/Q+VqHnIjOwtLvibJJtSbT3SX9vU/r6rB0ol5CiBRn+3CqbuhfM/7oYl4MahVyUIGzldb2PyH7O9Dw9OboCvKUABClCAAhSgQGoLMBiZ2vefo6cABShAAQpMEVDBRPXgZjABmU7sbD0Ie7kVdXrXqnHMVQ2brRKNn1glqPhsuMM/fheuH6sgnwqySSA4vDf8Z1k2Csuq8crHpcjWZHq32sr2omODBSUfH8MRuxSI2RXeXfurNlQvl2DdaXVMeB8s5Tj6UhdKM7TIjioc7VSRuzY5JjuyL/zFHnXh8FMVTjwk/Qz3vvylozi4IeqgCWdPaiO9GPulKrdVxh4ZJQ6elCni6RaYP3wFa0qyJUwb3vZ+KOtmRp6bC6frr5yLdjgecsJ3shIvoFT61SBnleOFl2rRskvWs6xQhX2m+qlp3bO7D5HO8AsFKEABClCAAhSggC6gydSqscQGklCAAhSgQJILeDwefUpskg+Tw6NAcgvINGVZThHmvLGQW3i4fq8XfpmKbZm0fzoM/fiAHK/WcBzbJFPQK+3AbJF2xnZO/ervl2upPshan2r9yplsnW9vR+vDjdi9Qa4hU7b19r2yFuTxTmkjqg+S3elXKzo+KmtjTm5Yxu7t98vYJ11XOqP2Q/aPzVyPPjVmf2Ws+hbpvxr3eLvqvZuN6zbuwxePPRG5uHG/eMsewMU/e3JWHVy3KA9bihfO6hweTAEKUIACFKBA6gnc7Nus1BPhiClAAQpQgAIUoICRBSRwZ44RKNQDg7Pod8zj5TtDi6zpebNND9rF6MONzvN7uyQIKUfoAdPIkVJgptguWZyTvyOdEJyMalWdGyvaKMsAWOQx3Razv5OuqYoojW+T3hvfH/0kTvchukk+pwAFKEABClCAAqkgwMzIVLjLHCMFKECBiAAzI/lRoAAF7pSAv9sNf54tZubineoTr0sBClCAAhSgAAUoMP8CM/m97/z3ilekAAUoQAEKUIACFEgqAXORbeq066QaIQdDAQpQgAIUoAAFKDATAZa1nIkSj6EABShAAQpQgAIUoAAFKEABClCAAhSgAAVuW4CZkbdNyAYoQAEKUIACFKAABSgwcwGjFbDpaDgw884b8MiMNA1/fu9KA/aMXaIABShAAQpQIJYAMyNjqXAfBShAAQpQgAIUoAAFKEABClCAAhSgAAUoEHcBBiPjTsoGKUABClCAAhSgAAUoQAEKUIACFKAABShAgVgCDEbGUuE+ClCAAhSgAAUoQAEKUIACFKAABShAAQpQIO4CDEbGnZQNUoACFKAABShAAQqktEDAi/ZP2+FPaQQOngIUoAAFKEABCsQWYDAytgv3UoACFKAABShAAQpQ4BYFXHBscaAzcIun8zQKUIACFKAABSiQxAIMRibxzeXQKEABClCAAhSgAAVuLND+XgM0TYP2ZAMOvVaPQ8fdwNkWbJfXDU9q2PZ2pzTgR+vbdeHjtG1wfirHqM3vhvP5bZH9Dhz4QI4NdGHfY6X6245nmpgdqUvwDwpQgAIUoAAFKHBdgMHI6xZ8RgEKUIACFKAABSiQQgLe4w1w7OjECZcHrpcdcO45gJazHvhlmnXz+/vg/tExOH9Sgva3t+ORj7fA5QvB01mLui12NF8AOg9Xoe5CDXyhEHxnGlBfXS/ZkMV44Z1jKBfHoy9Ww5xCnhwqBShAAQpQgAIUmIlA+kwO4jEUoAAFKEABClCAAhRINoHWX+xDddM5bLFZAFs19r8E1OuD9Mmf7+LgzkoJJkpW5C9bUF5dg47ftgBmvx5oPNHpRvXPWtG2uQ2tHzSh87Mjco46Wv602WFHFYpXMxSpc/IPClCAAhSgAAUoECXAzMgoDD6lAAUoQAEKUIACFEgVAT/8Z4DiouzxAVvtks8Yq+qMHRJcVG/54fVb0NDciO3FFrTuscrakIfg8ttQ+dh2/YjxxtQrrhkZzcHnFKAABShAAQpQQBdgMJIfBApQgAIUoAAFKECBFBQwo/yZKhx4sxVeFTS80Ira59phn5LMaIY5D3BZSlD1aDWqf1SMFsmS7JJTul4HXjnpRO1TlSiGZ5KhS9aPnLSLLylAAQpQgAIUoAAFwGAkPwQUoAAFKEABClCAAikpULKzEY0b9sOaIQVsVhzQsx9LbNawRdl1kup32lD5nCNcqCa7FJ63TmDHOjMqml7Avi1WfX/lG12oLWuB42lVtMYMWWkSjoecMRMtr7fMZxSgAAUoQAEKUCD1BLSQbKk3bI6YAhSgQGoKeDweWK2RH7RTk4CjpgAFKDAu4P68GScCFah+0Cb7/DikyZTtL33YvXFKeqR+jtfrhdlskcd4E0C/F7IXljzZOZYJqVZlj34edbh6+sVjT0zac2dfdjQcuLMduM2rZ6Rp+PN7V95mKzydAhSgAAUoQIH5EmABm/mS5nUoQAEKUIACFKAABQwlYDF7sH2TlJr5+V6USGXtA2X74doQHWmc2F2LRQrdTN7yLBjfG/2ddfTzyefwNQUoQAEKUIACFEhhAWZGpvDN59ApQIHUE2BmZOrdc46YAhS4iYDXjfbTHbLiox0VD5ZIjiM3ClCAAhSgAAUoQIG5FGAwci512TYFKEABgwkwGGmwG8LuUIACFKAABShAAQpQgAIUSDEBFrBJsRvO4VKAAhSgAAUoQAEKUIACFKAABShAAQpQ4E4JcDWbOyXP61KAAhSgAAUoQAEKpKSAEQrYJFLRmp/cvyolPyccNAUoQAEKUCBZBZgZmax3luOiAAUoQAEKUIACFKAABShAAQpQgAIUoIDBBBiMNNgNYXcoQAEKUIACFKAABShAAQpQgAIUoAAFKJCsAgxGJuud5bgoQAEKUIACFKAABShAAQpQgAIUoAAFKGAwAQYjDXZD2B0KUIACFKAABShAgbkX6Dy8DdsOd97wQl2fn4TbL4f426FpDrSr59woQAEKUIACFKAABW5LgMHI2+LjyRSgAAUoQAEKUIACiSrguklwsXVzBRrPykHpJehob0SJOVFHyn5TgAIUoAAFKEAB4wgwGGmce8GeUIACFKAABShAAQrcqkDADefz2ySDUZPHNjSd8oZb6m5HQ7naJ4/yerRemBSBDHSioWofugLhw90f7UP9e51ofW076mRX/aYGdAZcaPlVC1zqmIAXTS+PXccB53F3+MSzLdj+ZD0aIn1w7GqCO9Jm+AD+SQEKUIACFKAABSigBBiM5OeAAhSgAAUoQAEKUCDhBTrfq0XdhRr4QiG4Tlaipnw/3PLfvkUOuJ9vg2/Eh7YXgUdWPDseeBwbdMvHR+CNBA497iNo7faj8uf7sV8OeOXD3ShJ96PxzUb9mNY9VtR018DlC8HTXo+6SjuaL8hMbglSNr9/ANlb98N3pQ2OwzVwjgVExy7ErxSgAAUoQAEKUIACDEbyM0ABClCAAhSgAAUokPgC9uUVwPs1ePY1JzrSq+Dq2wvb2VY0oBqvPFUOc7oZ5U/VoxZOtJ6emB1phz0KQD2X+dh5srcMsBeH39OPCXSh6XWg8cUdsMkhlrIdOLoTcH6s1p70yeNdvPCjEpiLyvHCW+U4crIrql0+pQAFKEABClCAAhRQAsyM5OeAAhSgAAUoQAEKUCDhBSwPvwLPmTZU2bw4tLMU9vw6nBpQAcISZKdHhhdQrwGrZerij+axY6LeCh8dOVd9kexHl3yxWa7v88tscLvNen3H2DNzJKg59ppfKUABClCAAhSgAAV0AQYj+UGgAAUoQAEKUIACFEh4gfbXNNScNKN65ws48skJGU8bQmsrUIV9OBqZLu091SJ5kS+gwhY13IBfAowt6HLLPsl8bH66BfaogKTfH5VFaS5BjWRLHvigPdyArEfpfB+oKo9uMKptPqUABShAAQpQgAIUmCIw9jvgKW9wBwUoQAEKUIACFKAABRJFoOSpo3CtL4X2dLjH5S8dRUleCZytB2Evt+rFaNQ7je0e2OQ7YI8814OOEmDc+2o5tq3Q9BNrd8qUbv2ZGfaHgbrNNajsU6tHqsnbZuz4+BiO2B3Qdum7UPurNlQvlzUjT8vrsuzwzsif0UHNCW/wBQUoQAEKUIACFEhhAS0kWwqPn0OnAAUokFICHo8HVmuM6YQppcDBUoACSSsgWY5er2QyyvqQluip2JH9ZotF1o6MPXp/v5xnlnDj5PdVYZsY+7xemZ9ttsCSF7u9G+394rEnbvT2vLzX0XBgXq4Tj4v85P5V8WiGbVCAAhSgAAUoYBCByd9aGaRb7AYFKEABClCAAhSgAAVmKaCCkEVRc6zHTp9u/9j78tWcF+M89X6s75Zln6UoauHIqHb4lAIUoAAFKEABClDgxgLMjLyxD9+lAAUokFQCzIxMqtvJwVCAAhSgAAUoQAEKUIACFEg4ARawSbhbxg5TgAIUoAAFKEABClCAAhSgAAUoQAEKUCAxBRiMTMz7xl5TgAIUoAAFKEABClCAAhSgAAUoQAEKUCDhBGKtgpNwg2CHKUABClCAAhSgAAUokCgCd7qATSIVrzHKPV2Ul4V/UWozSnfYDwpQgAIUoEBCCzAzMqFvHztPAQpQgAIUoAAFKEABClCAAhSgAAUoQIHEEWAwMnHuFXtKAQpQgAIUoAAFKEABClCAAhSgAAUoQIGEFmAwMqFvHztPAQpQgAIUoAAFKEABClCAAhSgAAUoQIHEEWAwMnHuFXtKAQpQgAIUoAAFKDAfAoFObNO2odPvxyFNw4FT/lle1Y+mcg3Or2Z73iwvw8MpQAEKUIACFKBAAgqwgE0C3jR2mQIUoAAFKEABClBg7gX8MGP7l23AOvOsL+aTMxiKnDUbT6AABShAAQpQIAUEmBmZAjeZQ6QABShAAQpQgAKpKeBHy2t1qH+tAZpkOrZLdNB93ClZj5q81uB48gDavREZdzvqJZtR0xyof92JFglEqq3jgyNo6w6HFdt/rdoJn9vw63b9ff+FVtRXhfdp5XVo/mqsQf1t/kEBClCAAhSgAAUoMEmAwchJIHxJAQpQgAIUoAAFKJA8At6TThzY48axL50oT+9EVWUdajp9CIV82Lu8HrXvdwIBN+rtDnQ9cwKevhZUolUHMEtuY9eefejqBrzHG+B4uhMnXD74zhzFvqcdaLrgR+OKR9D1kw5pL4Rzr1qw/SdHmBGZPB8fjoQCFKAABShAgTkQ4DTtOUBlkxSgAAUoQAEKUIACBhFwAQe/PIjKjSrT0YbWM21o62pF0yedOPImYH9Hdnd34MD/z97bQLdZ3/meX/kllhM7kfKGHUIShwRwgKnlQkvcYXox29mLc8s52AN7iU/ZYWxytoXb2RIP5xR8c+9CPHTbeJil8XQvqTs7ZW32DhMzp7lx7k4nZmdoYwrFSptgBxLiQF7kJI6lxE4k27K0v98jyZZly2/xi16+f46s5/k//9fPIyLpq98LStH+9FZY5NNxyffqgF27A6JigVyXupaf1MD2Rju25ug4JXCePQ2sNMNy+TS2HOtE05tH0HagVgZskOssJEACJEACJEACJEAC0QjQMjIaGdaTAAmQAAmQAAmQAAnEPQGN3Thculpg3VyIuvc7Ybm3GGXfA0SrhKdbrCORB2uoYZoZttCx8Rxw084NCx1pztLWXahZtRFFP2mFJ2cLtj25UwYcNeOoUXhCAiRAAiRAAiRAAiQAUIzkq4AESIAESIAESIAESCApCAREx92o/4/PouS+XDhPiCGj7Ny8qUhsHWtx8Ggg3mPHoQbYJWbkiPZoRv43S9D8lh1Gi+5WZFqtaDnvwH7pf/iNl7D9G1uBcypqspAACZAACZAACZAACUxEgGLkRHR4jQRIgARIgARIgARIIK4JZMrqQ6KieVMxdqIaVk1Ck16CzoIKNO/YgsYz+ahv2YPK+61GgpotpeJurXaS4p4d6p//ZD32ZpUH+q4qQunrR1B6ez6qvwc8bA0ksNnTmQ/bUYlJ+eaJ4X5xDY+LJwESIAESIAESIIE5IGCSYNv+ORiXQ5IACZAACcQgAafTCatY87CQAAmQQDITcLlcMGdZYNbo6V556LMWjwcu8ci2WELyZaA6/K+nTxqIG7c5rIlHxoNZxtM6HU9LaMzA2ai/Hz36J6PO5/ukvVrFVpbpEFiVlYF/uyVnOl3YlgRIgARIgARIIAqBCT4mRenBahIgARIgARIgARIgARKIYwIWi2Vk9eGfhkVNnECHNPqYs8JUyOAo5mjjjczCIxIgARIgARIgARIggSABWkbypUACJEACSUSAlpFJdLO5VRIgARIgARIgARIgARIgARKIQQKMGRmDN4VLIgESIAESIAESIAESIAESIAESIAESIAESIIFEJEAxMhHvKvdEAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAjFIIDxKTgwuj0siARIgARIgARIgARIggcQisJAJbHyLMnDihb9MLKDczawS+NZX1s/qeByMBEiABEiABCIJ0DIykgjPSYAESIAESIAESIAESIAESIAESIAESIAESIAE5oQAxcg5wcpBSYAESIAESIAESIAESIAESIAESIAESIAESIAEIglQjIwkwnMSIAESIAESIAESIIGkJeDxJO3WuXESIAESIAESIAESmBcCFCPnBTMnIQESIAESIAESIAESmF8CHjTaTKg/PoG66HXB/r4dRgtvF2pLTMjM3Ab7BF3mdw+cjQRIgARIgARIgAQSjwDFyMS7p9wRCZAACZAACZAACZCAEHDLY2Jd0YHCrYXo8CouJ1oO2dDWexA2s56zkAAJkAAJkAAJkAAJzAUBipFzQZVjkgAJkAAJkAAJkAAJzA8BbwdqX6xF/Y8qYTKZYHqiFh19EVN7ulD//LbAdVMhat/pALydqHl0i9Gw8Dt/h3/cVYVm2FH4YA26RJy0v1UdbG9C1b6WoPWk9HmiEjWvlMFkq8eJAzUo21GNSrHANJm2ofGXLajbUWj0K/tRS8QieEoCJEACJEACJEACJKAEKEbydUACJEACJEACJEACJBDXBFpeFSHR8izcg07sX1uFLU80jrKI7NhXgspz5XD7/XCfrEZVaZVYQ+Zh5xuHYZOdH3zhf8K//c5OObbh4NvPwvxeNQq3d6HN4Yb/chuw42E8906ntPSg7e16VJ8tQfuBMvhdbWja14GKA060N9lQ/scPw/PkfjjPHkbnCw+j8cTEdplxDZ2LJwESIAESIAESIIEZEkibYT92IwESIAESIAESIAESIIEYIVCBPU/bYJZPtqUvHwGyd6PDUzq8tvxvt6Dt/ja0vNOIjg/3S73ZECvNObnIRQnyNpilRo9z5diClhdrUNp4GrYc9de2oaqpArkvt2LvN23SrwRtf1OBfJmrQ7Ld2N7Yg61rLUCfWlnuRsVDebAgD1UF4vhtuH8PL4MHJEACJEACJEACJEACQoCWkXwZkAAJkAAJkAAJkAAJxC8Br1of5sMa+ondq5EiVW4cKS27rBIbsg4OTw6KHy2TC6MtFj1hoqFHxnOeBPJWZo4MIPEkcb9lZMyw9qGhPBqhsiAn2MY4C+vPQxIgARIgARIgARIggRCB0Me20DmfSYAESIAESIAEEoiARyy39NHf3w+PPPr7BzA4OIihIa88huD3+eH3+4Z3bMTcS0lBSkoqUlNTkZ6ejkWL0mHOyIDZLNZjwYe2YyGBmCCQprJjFRp+W4Fn77Og41CdiILlyJNqsZGU4kHnq8BLrfWoeMAC1/tyfVRxSPxIqRj+VGxG0XfErfu1FlR/YzssknH74MtNqNil/USUjFZ0jKPRLrKeBEiABEiABEiABEggRGD4Y1eogs8kQAIkQAIkQALxScDr9aKvrw+9vfKQZ4/HjZTUNJjS0uFPSQfkGCmZMC3OlmcRHE2pkEwbRrKN0I79ElNP1El5+DDkG4JXHu5BL672u2Fy9sI/NIChgX5kmDORtWQJsrOzkJWVhQwRK1lIYKEI5MrE9fdb8ZyxABv2d5QaFooB20YRFxt3onKrFTVy3fb4TlQUNKPwqUa4G7eKTaUmramH+8Miuaru2mJn+XQ99r6TC6up3BgRzzTA+ViOiJYBMTLc6jI3dJImsxUErDK1U7hdZWAQ/iUBEiABEiABEiABElACJvnSId84WEiABEiABJKBgNPphNVqTYatJs0er1+/jqtXr8LpuipWjx6kZmTCJ5ZipvSMwMM0NxFZ/IP98A96YPL2wzfgRqpYUlqWLYXFYsHSpUuThj83GgMEPHaUlbahobkCcLmALHGnHu/n9j4XXCI1WrJEPQy5WWu78OOI7XhkPI/2sYQUx4gGMzz96NE/mWHPm+/mW5SBEy/85c0PxBESlsC3vrI+YffGjZEACZAACcQGgfE+qsXGyrgKEiABEiABEiCBcQm43W709PTgSo8T4mUNZCwWMywL0pYFbLHE3nHOS0js1Il0Pv/gAK54bsD5xTn4vAOwWqxYsWK5WE6KFSYLCcwxgc5DIkJKMYsYHrWISDl8NfwTcPhxRGcdb3ZlyIgJeEoCJEACJEACJEACSUiAlpFJeNO5ZRIggeQlQMvI+L73V65cwaXL3Ub8R5izYMpYYlg/xtqu/BKP0ufpQ0r/dXEFB1atXIGVK1ciLW0C1SfWNsH1xBEBD7rOeZCjGa1ZSIAESIAESIAESIAEYp4AxciYv0VcIAmQAAnMHgGKkbPHcr5G0iQzly5dwkV5qDWiPyMbKeYl8zX9Tc/jH5CsxZ5eeG9cE0FyFW65ZbWRBOemB+YAJEACJEACJEACJEACJEACcUmAYmRc3jYumgRIgARmRoBi5My4LUQvFSG7urpw8eIlpGrCmcylkohm0UIsZVbm9EsiHN+Nq4CIksvE9XVNbg5FyVkhy0FIgARIgARIgARIgARIIL4IUIyMr/vF1ZIACZDATRGgGHlT+Oats4qQDkeXJL7OAhYvgylVMmEnSNG8eb7rLvhvuLByxUqsWZNL9+0EubfcxtQJLGQCG/eadej8sz+f+mKl5R2rs/HVDcun1YeNSYAESIAESIAESCAaAQZvikaG9SRAAiRAAiQwzwRckrn37Lnz8KWkI2X5mri2hIyGzmQyITXLCr+IrD3Xnbhy7BhuvfVWrF69OloX1pMACZAACZAACZAACZAACSQQAYqRCXQzuRUSIAESIIH4JDA4OIgvzp5F7/UbwJLlSNHs2AleTCkpMGWvgN+cDUd3D7qv9GD9utuwZEn8xMNM8FvE7ZEACZAACZAACZAACZDAnBBImZNROSgJkAAJkAAJkMCUCGiG7OPHP0bvIMQacm1SCJHhYEzpi2BaloOB9MX49NOT4p7uCL/MYxIgARIgARIgARIgARIggQQjQDEywW4ot0MCJEACJBAfBDR2YueZMzh3QWJDWnKQkpXc8dhSJEFPyoq1uOS8ho5PPoHHI1m4WRKKQMe+bSjc1zFmTx0/NsH0I/uY+rmumHReVydaj3bNbBleF+zv28FX8czwsRcJkAAJkAAJkEBiE6CbdmLfX+6OBEiABEggBglcv37dECKHUjNgWn5rDK5wYZZkSpWPJctuQb8kuGnv6EDehg2wWq0LsxjOOm8E8h5rR3ta3rzNF5po0nm7mlFkA/z+Z0NdpvHsQOHWQrQN+mHjp+1pcGNTEiABEiABEiCBZCBAy8hkuMvcIwmQAAmQQMwQ6OnpwYkTJ+DNWCoxE1fGzLpiaSEpSyyGtejnX5zFhQsXYmlpcbEW+5vV0ERB+qh+M2hx6OlE3Y7CQH1JNVrOBWz2Og/UoOz5alSVBNpX7Qu272pFlS1QZyqpgb07sHXX0UZsC45duKMeXcYwHjS/UomqV3TebbCLVWvrvqqRNbwVHNNshn1HNSpDcwXX5rI3o/lDF+DtQO2Ltaj/UWWg7xO16OibCHnkvEDnu3UoDK6val9r0DJx/PUMzyutxqz3XDO25T8nkz+HyrfEmtPThfrntwX3VIjadwIWnuPy83ai5tEtxsILv9NI68iJbiGvkQAJkAAJkAAJJCUBipFJedu5aRIgARIggYUgoPEQvzh7DmliDZmSmb0QS4ibOVMWZRpWo5fFbft0Z2fcrHuhF+p6txqFT3XgiMMN98mDqHmqEI3nXKjfuhHN99bBLZZ67d8GHr6tGl1e0dhcbWh6rRnFrzvhPNaAWhEsW10eND5ShM4X2sUq0I8jD+1H4V+2AN0tsNrKUf6hA/5BJ6pQidynmowtu1rrUburC4eP1cN2pglFO8S6tdcP/+UjaN5eiJagmCkzYntoLllbq4iNzq4GVJ0JxAptebUKzZZnZZ1O7F9bhS1PTCzmhc+bf6IOG4tbUHfWDb+zHeYdRXjugLhZnxh/PcPzjnfdXIK9Lbtlby/hpcfy0bGvBJXnyuEWHu6TIt6WVqFDhNhx+fXlYecbhyFGlTj4QinMC/2i4PwkQAIkQAIkQAIkEGMEKEbG2A3hckiABEiABBKTwBdi5XfpihMm660wLaI8MZW7bEpJhUniafZ6vDjx6afw+XxT6ZbUbVp+UgPbG7uxNccM86YSOM+eRkmWA01HAZvFiZZDzeg0rA1r0aYCoVgx2l5vQMkmCyz3lOKnUtV2Bsh5BGjaXo6afU0wP7If7h8Wo/O9RuCRBmy/LwdIs2D7rv3A2/WGKAfREvce24vie+TaSnmgHuXP16DpmBn7RRgtViNgY649KA7OtVfnOiWKHnJFuAv9P1GBPU/LmYxf+vIR4FBDYHxpNW4Jm7fzw2agoBDOjhaxtOxEZoGs4t326OsJzRtlvXm5so+CPOTK0vK/3YK253PQ8k4j6n7WIEsxBywex+XngTknV0YvkVADoX2Nu3pWkgAJkAAJkAAJkEBSEqAYmZS3nZsmARIgARKYTwJq2efsuyFC5BqYUlPnc+qEmMu0dBU8/jQjsY3XK+Z8LFEIqLAn0l6Y/mXOkpibwfNMjV3olTZZRdjfeBD5WUbzUX9UwIO0K37ZjdPH9iDHdQQV925E5vYmeLpF+btLBLrhovPlwyrt3cN1crCyGO7Lp7HnkRwc+UkFNuZmotEQHcMbAdbgXMO1urbgeEadNzBq2HaGm4YORs2rlbnykGE8IrjaRCw9+ITEopxsPVGu62ogIq6Wll1WiQFZB4cnB8WPlkmNcdW4Fv4nxC9UJzo6CwmQAAmQAAmQAAmQQAQBipERQHhKAiRAAiRAArNJ4LPTp8WybxAmSczCMnMCmm18IMWME598isHBwZkPlNA9zcj/ZgmaJUajS/fZ3YpMSQDU0mU2NDrL5iKUPFaK4s0ulKm4OI7KFxD3rqI2PROtaUWo+Is9ONL6klhAOpD7YCnwWh3sxuCA/R2xEHymGDkqcoYV1/s1yHyqFUWPiZXj37dgt1xzGNaYYY3kcIyQmKYLqkLDbwMTdByqE8vEcuSNs87RIwXOrCtFiXRYUCQMSh8rhudQGerFw3+y9US9bgiJHpEdPeh8VRy2xRW94sli5ME53vRG3eg9iXhLMTIqK14gARIgARIgARJIXgIRHx+TFwR3TgIkQAIkQAKzTeCz053o6/fCtHT1bA+dlOOlipXfoIhan548hTvv2Iy0NH6MiXwh5D9Zj70HcmE1lRuXSl8/gtINeSi2N0i8R6ukYwmUva0O5Au+DjkNt6TMNC4vQ8kvXsLG/EwERgF2/6Idlrvycfj1ZhRaTcFRKtDmLJFjDwL9AtWWglK8dGgLMoNrQMFutN8liuKH480V6BNagxo21t8fWqcN+zsmjrkYPm/OY3vQ8J5V9h7c5eM/hePxPFi8E68n2nrN3ZrJvQzl+4qxp3EnKrdaUSM1tsd3oqJAODzVCPs3ou1JhGHYUfhgPdz2ipBxamCz/EsCJEACJEACJEACSU7AJIHJ/UnOgNsnARIggaQh4HQ6YRVLKZa5J3Dm889x9bqHFpFzgNrX14MM/yDuuvMOI7vxHEwR90N6+sSNWCwNJYH1SBE3aJfUm7MsEpNxpDrqkcRD1PaQ9pbwcfpckBw3sKy0RO2qFzwuFzxes7QL7zxBF48dZaVtaGiuEHNGsY4MrrPj3WYjq3b4KB7ZS+69Jdi6Kbw2MLYxr+zdkjX62mTrGfd6yLJReem+RVY0xg2vj7alCdp89OifROs15/XuNevQ+Wd/Pq157lidja9uWD6tPmxMAiRAAiRAAiRAAtEITOWjaLS+rCcBEiABEiABEhiHwIULF3BVY0Ra1M6LZbYJqMt2f+8VnPrsNDZvun22h0+I8cwRQpyxKRXoRqmKk2xVlEzLKDUz2F7FyXHiTUaOZraI6BlZOcl556GAi7b2DRXrqlzkjZN83hxlDdHmjVYfmmfc6+GflHXfocbh9aG6yOeptInsw3MSIAESIAESIAESSAICtIxMgpvMLZIACZBAiAAtI0Mk5u65u7sb5y50BZLVpDA089yRBvxXL8Eqotu6devmchqOPW8EPOg650HO2mHJb95m5kQkQAIkQAIkQAIkQALzR4DfkuaPNWciARIgARJIcAK9vb344osvjBiRJgqRc3+3JRan81ovLl26NPdzcYZ5IGCmEDkPlDkFCZAACZAACZAACSw0AYqRC30HOD8JkAAJkEBCEPB6vTjdeQYpy1bDlL4oIfYU65swaR6V7NU4d/48VAhmIQESIAESIAESIAESIAESiH0CjGYT+/eIKyQBEiABEogDAp1nPoc/YwlSogWyi4M9xOMSTWnpSFm6Csr/nru3IIUWqfF4G5NuzUxgk3S3nBsmARIgARIgARIII0DLyDAYPCQBEiABEiCB0JeSTgAAQABJREFUmRC4ePEibvQPQBOrsMw/ARWAfemZ0AzmLCRAAiRAAiRAAiRAAiRAArFNgGJkbN8fro4ESIAESCDGCbjdbsNNGFkrY3ylib28lOwV6JUM5leuXEnsjXJ3JEACJEACJEACJEACJBDnBChGxvkN5PJJgARIgAQWlsDnX5xFqghh6i7MsrAE/FkrcPbsOWj8ThYSIAESIAESIAESIAESIIHYJEAxMjbvC1dFAiRAAiQQBwQuX76Mfq8PKYuXxcFqE3+JKYvMQGY2zp47l/ib5Q5JgARIgARIgARIgARIIE4JUIyM0xvHZZMACZAACSwsAbW+O3fuPLDEurAL4eyjCGjczqtXr+HatWuj6nlCAiRAAiRAAiRAAiRAAiQQGwQoRsbGfeAqSIAESIAE4ozA+QsXYBIrPFN6RpytPAmWu2S5xPG8kAQbnd0tDl1IMItSbwdqX6xF/Y8qYTKZYHqiFh19QWaeTtTtKAzUl1Sj5ZxHLnjQ/Eolql6plvptsHs8aN1XFWgj/avfsgc6e11ofHFbsL4Q9e92BepPNaPsiSpUPx+4VrijEV2MGBAEzicSIAESIAESIAESGCFAMXKEBY9IgARIgARIYEoENGlNz5UemGgVOSVe890oJTMLgz4/k9lMEbx/cAA3/stfw/OP/88Ue8RPs5ZXq9BseRbuQSf2r63ClicaRXJ0oX7rRjTfWyf1frR/G3j4tmpDOHS11qN2VxcOH6uH7UwTina40N7rh//yETRvL0RLN9Cyy4ry7nI43H447VWoLM5Fk+i4HhEpm96uReYje+C+3IbCfeWoP+qKH1hcKQmQAAmQAAmQAAnMEwGKkfMEmtOQAAmQAAkkDoELDoe4Z1tgSuHbaKzeVX+mBecvyH1imZCA76oL13/0v2HwwyPwnfsCfr/fSAA0MDCAoaGhCfvGx8UK7HnaBnOaBaUvHwEONaDD5UDTUcBmcaLlUDM6DWvJWrSJ0Ah5yew9thfF9+QAK+WBepQ/X4OmY2bsd7hRbOlE46tAwwvbkSMhSi0F23HwGWl1qEPauuXxU+z8Rj7MK23Y+boN+1s7pY6FBEiABEiABEiABEggnAC/RYXT4DEJkAAJkAAJTELgxo0bEo+wF6kiRrLELoGUjEz4U9PQ3a0KE8t4BIZEfOyreRFDp08al4cuOtB7pRuamOnKlStQC2Cfzzde1/io86rrdT6sacHlelUshAiTgfNMfdY2WUXY33gQ+VkBOTFwVf6uLBYLx9PY80gOjvykAhtzM9H4ySXVK5ET9r+/R4wfc3PGiR1rzpWWoliykAAJkAAJkAAJkAAJjCJAMXIUDp6QAAmQAAmQwMQEHF0XAWbPnhhSjFz1Zy6Dcb9iZD2xtIzB37eh79Vq+HtGxFqNq+iwf4SOjg50dnYaSYDiWoxMUyGwCg2/FbVQSsehOqCgHHlmM1QmtGwuQsljpSje7ELZ9iZ4InRD1/s1yHyqFUWPiXXl37dgt/RxDN6J8gKg9p1g/MhuO+rfBkpsakXJQgIkQAIkQAIkQAIkMBUCod+Kp9KWbUiABEiABEggqQn09/dLpmYXUldtSGoO8bL5lEWZ8N1IgdPphNU6juVavGxkltfZ/8/N8PzXnwP+sVaPl3/Xho8zsrFq1SqsWLHCeKSlxe/HRRUd6++34jmDobhNd5SKZaQZe+wNsNpC9eKa3epAvmwzKDEarS0FpXjp0BZkmsoDd6BgN9rvsiD/0GHsz5XkNzsC1RU/b0PpWokZeULOCzIDlcG/uREC56iLPCEBEiABEiABEiCBJCUQv58uk/SGcdskQAIkQAILR0DdV1MylxpZdBduFZx5OgT85mxcvHSJYqRA80sMSE/jzzDwL7+MilBdty9kWqECpIYk8Hq9yMjIiNo+pi+IC7bzkZ/iSHMF4BLryCzLsIu2xnr0D5bC1eeBOax+u90/siVzPnZLDM1q6evxmmFZGVQWc4qxXxLfuHRMswUWce/WYr6rAv4wNTP/mYM4GLjEvyRAAiRAAiRAAiRAAmEEKEaGweAhCZAACZAACUxEoLv7CkzWNRM14bUYI5BizoKnu8cQ1hYvXhxjq5u/5fhFWLzxf/4VvO2/n3DSZdd7ccOfYfBSMXJwcNBIaqMu3PFYOg8FXLTNFsvY5YuFpMUyuemi9h3TSj5BW1aOM+bYWVhDAiRAAiRAAiRAAiQQQYBiZAQQnpIACZAACZDAeAR6enpgWpQBU1r6eJdZF8ME/CJIdktClnVJKkb6Ll/E9dd/AJ/j/KR36RbfoJFFW7NpX79+HRqaQONGpqamTto35hqIZWPz2byxQmIMLPTLv/iHBV3FHy7o7JycBEiABEiABEgg2QkwgU2yvwK4fxIgARIggSkRuCxWkf5FQX/MKfVgo1ghkCKu2j1XemJlOfO6Du+nHUbG7KkIkbqwxWIAmT00CI/HMyxG+sVVOT6LGTlrab0Yn/eOqyYBEiABEiABEkhkAhQjE/nucm8kQAIkQAKzQkBdVa/39Um8SIqRswJ0ngdRa1ZT+iJJPnR1nmde2OkGjvwLrte+An9f77QWcovPC7WMVDdtfY7rjNrT2jkbkwAJkAAJkAAJkAAJzAcBumnPB2XOQQIkQAIkENcENFFFauaSuN5Dsi/ev2gxrvQ4sWzZsoRHoZaM/e+8hf7mf5zRXnNEjDwbdNNWC8khSXzDMrsEPnr0T2Z3wGmM5r51PTqf/u40egB3rM7GVzcsn1YfNiYBEiABEiABEiCBaAQoRkYjw3oSIAESIAESCBLocbrERXsx4jOFB2+jEjBlLMG1nsljJsY7Lb/EeLxRvxfett/MeCu5fq8hQLrdbuhDM2qrwBmvSWxmDIIdSYAESIAESIAESIAE5oQA3bTnBCsHJQESIAESSBQCKsL09V4zxKxE2VMy7sOUmgZ99Im7faIWn8uJ6z/8TzclRCqbHP+QIUZq8pqQq3b8xo1M1LvNfZEACZAACZAACZBA/BKgZWT83juunARIgARIYB4IXLt2DWlmsYo00S5yHnDP6RT+RZnQ+5mVlXixP4e+6MT1H//v8DtvPlHPKgwhRTJoa7xIFW9DcSNTUvgb9py+QDk4CZAACZAACZAACSQJAX6qTJIbzW2SAAmQAAnMjEBvby98aeaZdWav2CKQngmXiJGJVgbtH6LvB7tmRYhUNqkivK8cGjAyaqtlpMaNjF/LSA/qZD+1Rz1jbnvHvm3Ytq9jTD0rSIAESIAESIAESIAE5pYALSPnli9HJwESIAESiHMC13r7YDInftKTOL9NU1q+aZEZbueFhIp/2P/ffwHP/gbIpqbEYKqNNInNyWASG3XXjt+M2maUHWsDNo39QcEsVQ7XVImwHQmQAAmQAAmQAAmQwGwRoGXkbJHkOCRAAiRAAglHQK3B3Deuw5Q+VshIuM0mwYbU1T4tw4zr168nxG719Zm64XakF/0b+M2Zs7qnWySJjSauCVlGxlpG7c5361Ao91PvadW+VnjgQv0T29B4PGQB6UHjjjLjvP2d/WjrDtTb36w2+hQ+UYX6A83IDf6v7TnVgkpbYLxtzzeiyys4vZ2oeaIM1S9WGn1Mpiq0dgUxd9tRHWxvKqmGPVg/dl2zels4GAmQAAmQAAmQAAkkBAGKkQlxG7kJEiABEiCBuSCgQkyaWNMxXuRc0F2gMdMyDIFtgWaf1WkNcfWuu5H5p/8LzD/YC/fjT8F16waJ+HjzJTeYxEZdtDWj9uDgYMy4anuO1mFjcQvqzrrFNb0d5h1FeO6AB4X3N6P89ZbA5rtaUL7Pg/xNQOeuGnR2A10HqlD4VBcOn3SieVcRmt8Ocuqzo2zzw7D9xAH/oBPPmsuR+51muehB29tNaM7cDmevAw3P1KJon13qu1C9qhD2PzsCt7Q/WFCDwj9rwvjrCqmXwbn4RAIkQAIkQAIkQAIkALpp80VAAiRAAiRAAlEIqAgjamSUq6yORwL+1EW4LiJzopUBnx+XctehPb8Q51KXYM2l87jH04f1UBO/6ZdckTTVNVtdtNWSNOSqnZqaOv3BZrlH54ciFBYUwdnRApUMMwuA+nfb8dPn9wO31aHjb0qAA9XA9/fAJpaPbXJdP/G2v1uLkp+fRvEmi1SUov5loEIMJj1n2mScEpRfbkfzIcCVaQP2HUHX63kiR5ag/vvFsEj/0u/uBe5tg+fJTNRIffu3t8Is9SUvO3H6jIie75aPv65v5sh8LCRAAiRAAiRAAiRAAiECFCNDJPhMAiRAAiRAAhEEbogY6UtNx8LLLxEL4+mMCZhEXL7hds64f6x21EzXmZmZsFqtuH7rWpwTt+12SdbzQM8FPDjQN+1lZ8MPs3fQyKStYqRm1I6pJDa5siUVEkVrte3aj4O5ecDaXOxFGZrfawV22NHQURS2b4+IhUDuQyPu7GaLiI5ahj8Ne2Q8DywF1WhoyjUESOO66rnaZlQiK1E5h4sZVtE3HXo+3rqG2/GABEiABEiABEiABEhACdBNm68DEiABEiABEohCwO32QMUrlgQikJaOAbH2S6Si7tpmycayevVq5Ofn48tf/rLxuPfee3F3yswT2+RK3MhIy8hY4GZdKYqfw4Kib5ag9LFieA6Vob5TVybJav7pJVQVF6GqYC9K7hotGBb9mQ31Pzko0SWleDpQ/127ETPSnGXVGuQ9qOOVIq9P3L3fcshoUcoGm9hFNuHIcWMktL4mIvBTzYi+rijjsJoESIAESIAESIAEkpTA8G/BSbp/bpsESIAESIAEohIYGOiHKYOZtKMCisMLphSxcxV9ThOyxILL8WwhTEtLQ3Z2tmEduXz5cqxZswbXT5/C8l9GT9bzmSkNt0nW7EWm8Vdxi1xzSKzIUBKbWMmonfPYHjS8Z4XV9Fxg4Y//FI7HxTJSSs6D5eKAXYO8l8ugzthaQraQ+d9uxp6f5Uq/ysAF+VuqiuPaUrQ1HkGhNQSiFEccpXKhQx7m0aJkgYyWlo/6lr3ItVkRGKkUh6V9Tk5x1HXJQCwkQAIkQAIkQAIkQAJBAiZxuZn5T+bESAIkQAIkEFcEnE6n4cYZV4tewMW22e1IXbWBCWwW8B7MxdT+nnO4Y9PthnA3F+Mv9Jj60U6FwxtvvwnfP2tUxbHlmt+E3anLsEiU2T/wD8LmH8Dt8pwiVpah8lvTIhxYshK33347tm7dirvuugtLliyJmf8fPC4XPOI6bcmKasMY2sqoZ+2HLIsR73H0BcnJLa7fFssUxxOXbsnvA3PE/FNZ10eP/smoqefzxH3renQ+/d1pTXnH6mx8dcPyafVhYxIgARIgARIgARKIRoCWkdHIsJ4ESIAESIAEhAAzaSfgyyAlzcgOrTEWE7Hoa1ZjSPrbPoi6vTYRGuXFDa9Yiv5eBL12taz0DeHu/j78gfcG1sCHHLGMVFFTM2qrdaTGjVy8eHHM/D9htoigGHWH0S9ov3GLuLpPVYc0+gs3c9bYkWa6rrEjsYYESIAESIAESIAEEpMAxcjEvK/cFQmQAAmQwCwQSElNjrfJGzfcktTlhmE1myoiVsIX2aPXO7Ms0/HCZuiTj+Hv6Y66XBUjVbRU9+5ly5ZBXbv1uFNEx9/39iK79yruFGFSi4qQoYzadKiJinRaF778i3+YVvvZbvyHsz0gxyMBEiABEiABEiCBaRBIjm9Z0wDCpiRAAiRAAiQQImAyJbYwp4FaDv7i/8Zf/mAvBgYD4txf7/u/8Ie2e0IIEvLZb0pNeDFyoPVfo967Ln8KukRoV5dsTXyj8SU3b96MrKws9PX14fLly+jp6UH71atYKhnl1cpSE9kMSvxIipFRsfICCZAACZAACZAACZDAFAlQjJwiKDYjARIgARJIQgIJbiXY2Xkc//mVv5YgeTkoKboHzc3/jP/1mT/FPx8+DItYyyVsEREuVpKxzAVjv4iGgxO4aH+kLtpSNIGPCpC5ublGXEiLuC+r4Hjt2jVofNnu7m5cuXLFSPajoqVaUlKMnIs7xjFJgARIgARIgARIILkIUIxMrvvN3ZIACZAACUyHgIgviVwufH7c2N6uH9bg0cIv4a6c/4S/+tlB9IibbiKLkX4kthg5ePRDQNzuxysqJv4uNWOUi/Ytt9xiuOgvXbrU6KKi5OrVq7F27VpDmHSLdeSiRYuMeJFqJcly8wSYwObmGXIEEiABEiABEiCB+CVAMTJ+7x1XTgIkQAIkQAI3ReBL9/07HPjHf4O3/+tPcd+OiuGx1omlXEIX0ZgT2cJv8P33ot6+U6Z0uCT8gMYGVWtHjRVptVqNY7WU1KLPKj5q5my9ptaSWjIyMgyXbeOEf0iABEiABEiABEiABEhghgQoRs4QHLuRAAmQAAmQQLwTyM7Ogj5Wr1w+aisd5x24d93aUXUJdSKxMhO1+CTmo/f476Juzx7hor1ixQojgU16evqoPqHkNprURkXLUNF6FhIgARIgARIgARIgARK4GQL0tbkZeuxLAiRAAiSQ2AQSWLTSG/dP//h3+Pf//mk8XPIEWlvfxw/+cieypf7/ff/TxL6vsrtEFdUGP/gVMDR+pvBBcdE+LpaR6mqt4qNm0V61apVhARmyihzvxiur0GO866wjARIgARIgARIgARIggekQoBg5HVpsSwIkQAIkkGQEEluNvHatG6dOHcPf/tMHRrKSM8c/Ri+WIG+tSpKJWyQNS8K6G0/kot0uVpEecdFWYTEzMxNqFRly0Y4lcdZzvE7WWAdP5EvQ24Ftpm3oGHMhsuHY845927BtX8fYC5PWeFAnvGqPTndSDxptJtQfn26/SRfEBiRAAiRAAiRAAiQQ9wToph33t5AbIAESIAESmDMCPt+cDR0LA3/9kf8Z/+2/Hcbfv7ZLHoEVrd/yZfyPX9oSC8ubszWY/D4jLuKcTbBAA/suX8LQ6ZNRZw/Pop2dnW1YRWrSGnXFjqVi3lCGtmPAiHP46NXNVN5zzKijGWXH2oBN0VYzem3hZ245mdGU4YPwmARIgARIgARIgAQSkAAtIxPwpnJLJEACJEACs0PA7xuanYFidJRVq1bitf/SiB+8/J/x3ef+HH/1f+zF3/1NLbIkcUlClwQVIweO/H9Rb9sNySD+adBFW5PTqIu2WkYuXrw49qxEXW1oeKc9sJcuO6rEwtBkKkTVq/VoDkmUnk7U7SgMuI+XVKPlXFD287rQ+OK2QL30qX+3awwT19FGsbAMuJ4X7qhHV0gx7LajuiQwV/WP61D9fB26xOO9/Z39aOsONLK/WR0c24TqN+3G2J5zLagy+klfWyWajrvGzMkKEiABEiABEiABEiCBEQIUI0dY8IgESIAESIAERhHwRYm9N6pRnJ9YrRb8DyX/Dk/96bfwR197AFlZWXG+oyksX0TmyIQtU+gV800GP/h11DXakQ5fUIDTLNkrV66ExWIxMmTHkou2bsDjcqB2Vyc83i5U5Rai8ztH4OxtRjFajP2Z4UL91o1ovrcO7kE/2r8NPHxbtSEctuyyory7HA63H057FSqLc9F0LgxLdwustnKUf+iAf9AJaYHcp5qkQRdqVhXC/tgRuGWuQkc9al5rhsPrQeeuGnR2A653q1H4VAeOONxwnzyImqcK0SgiaMNtD6PzW+1GhvbTL1tQ9q39tIgMQ85DEiABEiABEiABEogkQDEykkiSnHtONBq/7JftC/yqH9q267f1Rn3lWzOJqxQaJfAcNebT6GbjnkWL7dT529YRC4Zxe0arnGnMJxkvLEZVx4/F6uFHo5mFz+g6ZYc9ZJ0RfsFjF67yJUcMKzp+XDa92FNi5WF/3258sbkZpuHL4TEJkMDUCJgkvp4/wV21p0YisVr5RWRONDHS+9mn8F10RL1RbRIvUkVH3be6aKsYqc8TJa6JOthcXwh5jXe3oxal2P30VliyclDyvTqZ2QOPx4Gmo4DN4kTLoWZ09umCatHW1YnGV4GGF7YjR7yqLQXbcfAZoP7QyGeazvcagUcasP2+HCDNgu279gNv16PjsyOoRgX2ylxmmav0hT0juyyQQ1lTy09qYHtjN7bK4OZNJXCePY2SlWZUXD6NqhxZ05v1qH+zFsjNHOnLIxIgARIgARIgARIggTEEKEaOQZJcFU07msUWYKS0NVYaJ87xE3GONJzCUSDmU1nIoWoKPUY3GS+2U8v9RWg4FfKnGt1+4rNAzKfyu6Yf8yk0rs6a91g72r+VH6oa8+w4VIjCtzrH1CMtH+32BuQHpzenTWcdDhRuLUSH3JObZTp2YawhARKYiED6ovSomYkn6sdrsU3A5x2EuionUpkocc0VpOBsSrohRuq+NWlNyEU7JsXI4I3xdKuImAdr6EbJe6dNj4NiZaY+i+Uisoqwv/GgvMe6oHJsjkUbBYpHPKZzc4ZHgKdbWtwlQuRw0Xf3fCzuc8pzDowx9ZrZGphLj42i7WSssLdvc5aOqxaVG1H0k1Z4crZg25M7IWaZRlv+IQESIAESIAESIAESGJ8AxcjxuSRJbQlKxA6g5UTgAzY8Hah7bfTWu96tH4mr9EQt7PKhHt5O1DxRiZpXyiQ2Ur1hsWd/KxhD6Ylq1L1ShTqN0TQc88mD5hcrUflKdXAsieH0vlyXMp04Sy0yn0qlVfdWG8Lc+DGfZK5XalC/rwaFhjta2XDspsliPhkLCv2JEqPKZW9G84cCQVzH6p8PxaTahsajLnT9sgZbvisDvLAFjcK080ANyp6Xh6yj7uMzaP65unvJdfmC0/yzaqNerVRq3glYbHS+U43qd4JCpsFY9ikxsWoeDSSSKPxOo7iuhcXR0thWRhwtjVFVFYyXFZ11aGt8JgESmDqBjIwM+IcGp96BLWOegFpFpqSmxl6cxJsg5x8awqB4DkQr4Ylr1EVbhUiNGRnrgqx5U5F8TqnFQXmP1dJxqAF2+YlT/8uVc8tmuf5YKYo3u1C2vQkeSz7KC8RG8p2gB4O8T9a/DZTYRsTHvAdLgdfqAp9nZAz7Ow3AM8VYf7fOVYOW4FwtP6ow5tJ5A8WM/G+WoPktuziJS+luRaaIui3nHRDbShx+4yVs/8ZW4NyIFWagH/+SAAmQAAmQAAmQAAlEEqAYGUkkWc698qv946XY+UYpyt8OfGh3tTag6fE92PO4iISqT4p7cklxJco73BIHyY3da6tQ8bZ+yPagTVyaqs+WoP1AGTwaQ2m7xlBywvGiCI27atF8yjkS80l6uI6K65LEcdrjdKO9sRCVWxvkw/z04iwVf0/WJmO99Itnke+KFvNJ5mqtRuUvc9CscaSa8lB2b4WIepPFfJKBQyVqjCrA2dWAqjMOdLxVgcpz5XD7/XC0FqPcJit7aCcOvyw2G98/iFKxwFThsOm1apS0tKP8Tj8aXpM9G2KkE80i+laL5YSzYz+qS7eg/ri4nXU3o+Zc4AuX7AL7324WQnlyjw4b1hkHX5AvUKE4WsHYVl3Pt0m8LDfaXtB4Wc+hU8Yfn3Voc3wmARKYDoHMzEz4vQPT6cK2MU5AxeWMjDDzthhf71SW5z1mh7/3WtSmGi9Sf/zSrNmaPTumXbRDuygQV2ezDfUte1B5v9VY/5ZScYFWO0lzHvaIt8FzwfrM/HLsbd2NfLGc3H7oMMyhxDYSAzL3520oXRsYVK0azXdV4PDrQKFVE9WYUPjdXLT9sESsLfPRIGPusQXmqj2mcmc+csX6Up2u9RWT/2Q99maVwyr9TKuKUPr6EZTeno/q78l7cHC8PZ35sB2Vz05vnhjuF5idf0mABEiABEiABEiABEIEgo4uoVM+Jw0BvfMnM1H4+rPicySZJP/jVhz5UQ12/0U78t6qCmCQD+YtJ9vQ1tmCxvc6sF8EtNw3Apc8Yj/Q9jcV8sEfaBLrv9LG0xJDySIeTqXY832xXtRm4a8u8Yrae0xERIt8nH/sWRHXKtDp2WnEWdpyrFPiLB1B2wGNsyQWCtFKVi5yxeLBnJeLzvdqRmI+SXuN+VR+m8R88pTALXM1vF2BHJk/57FqETDFckEsFc3SdyTmU7sR80nsJYyYT1gZNmkwRlW7xqiSMYwYVbt2GxagaothU4uMtUUSY6ocz73ixvZHSuDozTfmc+bIdU+e8aVFFV3b6+2oeEjcukXYldUHJnF5sPMXz8GmAa2E12Hl9W4HisyBsQONdKZAe7OMmSvrzNsg7U8F13mqRWxaS3H6SVmNrNH2pAjF23Nln3uQGYW1Tb9JsZAACUyLwGIRI1OuXZ9WHzaOcQKDA5JBWuWlxCkTuWh/jlRcSUlDighoZrMZy5cvNywjVWhPSYnN36RVMPQHjRtz5Ic+v/tZyFunJNwJeyOTeJD+wVK4+uT9PctivBcadzSnGPvlx0iXS37cM1sk1mTgPuc/cxAHg7e8+D/sh/9pV2DMlfLZRYv8ENlyzIxmSXyjb8+eo3XIFKtKiwqcdn+gjbhxP/v3flTInJB6wWmU0r/yw70rMJ9R98NgvMlvhfoFu/OJBEiABEiABEiABEjAIBCbn0J5c+aHwFH5kJ1TJGJdPRoONEqA9xKUPpgnLkbB6bvE+nBzIere74Tl3mKUyS//onONFLXyE4nOc1IiOq0c+WJnzRXrQLWsDCtihzlS5AO8IbTJB//pxlkKjRMt5pNVhDkVGHNyRqbTpahgFyiBhY2J+TR8XZYeLUZVaAh5tjz0Epwi1JbkuFD3zBbkZlcaruNhTSY4lP3fFvzyI62UXF7oy9AEvTwG70ADj0dJ5I/EtlJLVylW+aIWYmRUhFgbJ/xDAiQwXQKGZeRg/3S7sX0MEzANDWDJ4sUxvMLpLc0v7weDv/8oaqdIF221ilQX7bhK4CMK3yghMrRbeY/TjOAj7/HBC/KebpH31ZAQGWo+6lkETG0zXCSZjeetMsk9s03C0FQi0/Ycdv/T+HGvzVkjQmSov1nXEdJK9TNF2OeKUBs+kwAJkAAJkAAJkAAJBAjwo1KyvhIMYUtlK7NYNVZg46PlwPfEakA+2KsxgoqOAVFuN+r/47OwiHBY97IYLoqR3+giweS/U4Ly18RS76HtsIiAWfFd+7AF5ei2EWfekThLxfJ9oPXHu6XBmAkiOsm6xOLQiPm0Q2I+7SqWbJqhmE/PGtaJmbnNqPpbO9r+gw2u482GBWH7XWYcMUYKi/kkiWgsGvNJXK32n/UPu3EFYlQ9JzGqJK/mfZawGFUjS7G/YkL1hnbJ0rkTpU8WwZT9LFQsNL6HyPomLBYPqp6uR4VduLrs2POqyKcdYgX5SwfsnUo+H13vNqFZjoK2FXIk9WFipPkujW1VKWsUi8gCi7hmN4ukvBO7RYQNWX5MuAZeJAESmBIBFSN9EmPQJBm1TTFqRTaljbDRMAG/t18sIxNHjDRiRQ6MH0pgSEKJ/D5lJIu2ipAqRmrcyFhOXDN8s+b1QCwgm90oPt6Bdgk703Z2L2xrQ+ri7C/ky7/4h9kfdBoj/uE02rIpCZAACZAACZAACcw2AYqRs000XsbTO18QMGDM+8Z2cT2uR/l2cT3WIi5NefL527ypWOStLRIbqVoqbdj5/Qo075DkLEUB36nQR/T8ZxrQ0FEMa7oImiKRSeQl5IcyV2rMJymBv8Zh8I9aFYzEWdLK0u/tDMZZKoLKkuHWi4FOYlH4ECR2VDmK3Qcl5lOzEfMpcK0CbU6dWYRAWT9+VgiTJpOR8lJTu+FOHvT4CsR8OpAr+9L1yrwa82mtcRj4E4xRlSuxqCqHqyuGrRx0XflPHoRj8xaYngo0sEmcSM2U7ViZD7vEqqp/xA2lGbmHADP5e/Q5mf85o3Pp64dRIWKpJ203bJsfhuk1qX6kQjjmBg1MRUAVibjwwXo435JrylRc6Otb9iJXYluF1thgdwbEWGPU8D8a6p+FBEhgpgQWL14Cz6AHpozEEbBmyiLe+/lFVPZLJu1EEiMHWt+LeltOmNJxw5SCVBHSVVhXF23NpK3u2hovkSWSgBk599jkEVnPcxIgARIgARIgARIggdkkYPJLmc0BOVbiEdC4S8PxmNQ6T4XMsNL12yYc8Uog9wfELE/kszqTiGXH3Hj2nqlJYJ5gXCfDvUnH1xIxR6Ay+Dd8DX0RMZ9k/vqS51DY9FPYvJIiR9yujHFHDRA48UTEfBrTRCwcx8SoCm/klevawHATC9tr+PrC20ce69oR4UYmY6phpbqAjSrRuATXYLiHTcRs1GA8SWYCTqfTECOSmcF09+5wOHDxmhspWcun25XtY4yAz3MdmUM3cOcdm2NsZTNbjs/Vg96/+DYky9y4A7xpWoxjKRlG1uzc3FwUFhaioKDAsI7UZDYsJEACJEACJEACJEACJLAQBPhJdCGox9mcGo9puIzzirGYnZKxWlKsfE8yWUpm7dqCPXCIpd9Uiwppw2Wc8YevhQ7C22jMJ7WEDCuuQ22GyzQ0oH1YfeThGMFvTAOJRTXRACpCrhynQfj6IscMP9e1h5/rsYxpjtiP0STamNHWEDkuz0mABGZMICsrC5euOGfcnx1jiIBYuFqsS2NoQTe3lEG1iowiRHpEn+wQF21NUrNo0SIjtqK6aKtVKF20b447e5MACZAACZAACZAACdwcgWgSx82Nyt5JRcB8j2S9dG6D/UQ7nE+0Y/cD+ROKgHMLx4wKR3NUa8i5nZujkwAJJCKB7Oxs+CQDc4pvSOJGpibiFpNnTwM3kJ0tMXoTpAz85ldRd/J70yJ4xRU7VR7qor1ixQrDKjojI4Mu2lGp8QIJkAAJkAAJkAAJkMB8EKAYOR+Uk2EOSw5shpv2wm/WEp5Ke+GXwxWQAAkkAIHspUvR138DpszsBNhNcm7B7xVBWcIkJkq8yKGzZ+A793nUm2kPJq5Rd+yl8vpVq0gV1umeHRUZL5AACZAACZAACZAACcwTgZR5mofTkAAJkAAJkEDcElhutcAkVnUs8UtA40WOCjsSv1sxVj5R4pqrfhM+k+DLmqRGLSF132oZqUKsum2zkAAJkAAJkAAJkAAJkMBCEuAn0oWkz7lJgARIgATigoCKOUMiZmk2Zpb4JJAiYvJyySSdCEVfh4Mf/jrqVtrERVuUSEN4VAFShUh9DWvsSGbRjoqNF0iABEiABEiABEiABOaJAMXIeQLNaUiABEiABOKXgFqTLbNY4ff0xu8mknjl/sF+mOCHJiNKhDJ04rjEau6JupWjES7aq1atMly0mbgmKjJeIAESIAESIAESIAESmEcCFCPnETanIgESIAESiF8CK1csh6n/evxuIIlX7vf0YdXKFQlDYOB9yaIdpZz3p8BhGu2ivXz5ciOJDcXIKNBYTQIkQAIkQAIkQAIkMK8EKEbOK25ORgIkQAIkEK8Eli1bBpPfB/+gJ163kJTr9vsBn/saVJBLhOKXzO6DbR9E3YomrtGiwqNagqpVpL521UWbhQRIgARIgARIgARIgARigQCzacfCXeAaxhDwy7dHl8uFS5cuYcmSJRgaGsKnn35qPK9fv96IeXXx4kXjy9WGDRtglThgXq83YVzwxgBhBQmQQEwQWL1qJS46xVU73RwT6+EiJifgFyEyO3upkchl8tax32LQ/iHgcY+7UJ+8dx6VeJEaFzIyizYT14yLjJUkQAIkQAIkQAIkQAILQIBi5AJA55RjCXg8Hpw4cQLd3d1GoH215jh69CgGBgagYqMKktpGLT1UqNRjFSu16Pknn3xi9PVJUP977rkHt9xyi3Guz4mUPXUsOdaQwPQIqHDPMnMCamV24cIFpC6xwpTKt9CZk5y/nibPNdyyft38TTjHMw22/mvUGT4zpeNaSipSJcZpZmamYQ2qFqGaUZtiZFRsvEACJEACJEACJEACJDDPBPhNap6Bc7oAgcHBQUNAdDqdhnB46623GgKjio/qSqZfmgoKCqBWkCHXMj0PLzabbfhULShVyFRLEBUnVSxQsVKtKb/yla8Y9b29vVi7dq1xPNyRByRAAiQwDQL6g8hKESR7rl+FKTtxYhBOA0FcNfVJrMiM9HQsXbo0rtYdbbG+3mvwtv8+2mUYWbTlariLtu49XRiwkAAJkAAJkAAJkAAJkECsEKAYGSt3IgnWoWLg+fPnDUtH/WKkX5bcbjeuXLliuF/fuHEDd955J26//fZp01i9ejX0oaW/vx92u91w21bx0eFwGNe++OILXL16FV/60pdw/fp1w9py2hOxAwmQQNITyBGL68vHj8O0xAKTWKGxxC4Bk7ho565dE7sLnObKBj/4NeQNc9xegxIb83hKuvFjnr7HapzIFStWGO91+n7LQgIkQAIkQAIkQAIkQAKxQoBiZKzciQReh1pB6hejjz/+2LBaVGtIdcO+9957jS9J69YF3OfuuOMOQ6C8WRTqjvbAAw9Axc/s7GzofDq/uld2dXUZVpOXL182LCc3b96MNWsS54vqzbJjfxIggckJqLW2/nvSc91F68jJcS1YC5+7D4vSUhIqVMfgBFm0j4uLdr8pBakSL1JdtFWI1LAMZrPZiCG5YDeCE5MACZAACZAACZAACZBABAFm044AwtPZI6CC35EjR3Dq1CljUHWX3rhxoxG7Si0gjx07htOnT6Ovr8+4PtuWGypEalEB8sMPPzTcwe+66y5DCFXryNtuu82wHNE2ukaNQ8lCAiRAAlMhkJuTA9+Nq/B7B6fSnG0WgsANF27NzV2ImedkzqGLXRjqDLyfjjdBuIu2vv+tXLnScE/X8CUsJEACJEACJEACJEACJBBLBPgJNZbuRoKsJWSRqLEb1SpDvxD9+te/NiwhNaGMPrSoZZGKkqGYkHO1/fz8fGMdGsQ/VNRN+8yZM4bbtia80fiSn3/+Ob72ta8ZViShdnwmARIggfEIqLV1rghdl1xOYGkgRMR47Vi3MAR8YrW6ZLF5+AenhVnF7M462PovUQe8DhNOimWkxlvW91RN3KbvvYsXL2bimqjUeIEESIAESIAESIAESGChCNAycqHIJ+C8Kj6qBeIHH3xgxG3UGI4qBKrIp+5ioQQC7e3t0PiQOWJZNNdCZAizzqVFLSA1dqRm51ZXbv3CpqKCJsPZunWrIURqjMnOzs5QVz6TAAmQwLgEVIw0eQfg678x7nVWLgwBv8RU9PX1YK0kRkukYsSLjLIhO9LhE/dsFSP1/U3fc/X9TcOWmKSehQRIgARIgARIgARIgARiiQDFyFi6G3G8liH58qdfeDRgvloX6hegkKCnWbDVPVqLCpFqhajWGgtR1BVcM2yr9aauIS8vz1iGJrzRjNxa9MucCpYnT540zvmHBEiABKIRuG2tCF7Xe6JdZv1CEJD7cYv8AKVxExOleE99At+lrqjb+ci0yHgPVpdsddFWzwN9nu3wJ1EXwAskQAIkQAIkQAIkQAIkMA0CdNOeBiw2HZ9AW1ubYV2oCWk0CY2W999/33jesGEDwuNVRZ4bjebxj4qPmjwnFE8yNLW6k6t4qhaU4a7kev3cuXPQrNwsJEACJBBJQP/t6HG60CuWeClZI6EgItvxfH4I+Dx9SPUN4NY1m+dnwnmaZbD1X6PO1I0UnNcs2vKDoP4QqK9JDUuiYizFyKjYeIEESIAESIAESIAESGABCdAycgHhJ8LUPT09RobskOVjaE8q3qkbdMg9zOv1Golk1BpxvlyzQ2uJfFaLES1q/Rgqt99+u7FezTqqVpOhcu3aNZw4cQLHjx8PVfGZBEiABEYRWL/uNsDdC9+Ae1Q9T+aXgN83BH/vFayX5GSJVPzy/jn4UeAHvvH2pVaRWlR4VBdtjRWpLtoL/V473lpZRwIkQAIkQAIkQAIkQAJKgJaRfB3MiIAmf1HrQo1LFZ4Y5uOPPzZcsiMtCY8ePQqfz2dYHs5owlnupDEr1V1bxVH94qZFrUj6+/uhlp5r1qzB5s2bjTiXGkvy6tWrRhuNixkSWI0K/iEBEkh6Amr9vX79Onx+9hz8y9fy34iFekX0XcHqVYEM0gu1hLmY13vMDn/fyI9kkXPYw1y0NTazvqepBwCtIiNJxdb5mx98HlsLSvLVfOsr65OcALdPAiRAAiRAAvNLgJaR88s7IWbThDQaT1GtHcPL7373OyMxTeQXIG2nFofqxh0rRUVIdRlXcTG8qIubupqrxafGwdSiliYqTg4MDBjJeTTmJQsJkAAJhBMwXGPFGg293eHVPJ4nApo9e5HJj1sTLGmN4ht4/72oFDuRih5TqiGA6/tsuIu2xj9mIQESmB0CHvnsp5//XJ7ZGS9eRvEk2X7j5b5wnSRAAiSQCAT4STUR7uI872H9+vVG5mmNrRheNm7ciPvvvz+8yjhWq6F77rkn5pIJbNq0yQjyH7lgzZD71a9+1bAqGRwcHL6sLm9qbfLJJ58gvH64AQ9IgASSmsA6cddOh2RyFmGMZf4I+Prd8AvzjXkb5m/SeZrJ774B7+8+ijpbW5iLtr4/qVWkJpJLT0+P2ocXSIAEpkGgrwM1NhMyJRariv3WTBMqf9yCudToPCfqYbLVyxweNMrc9ccjZvO6YH/fPqdrgLcLtSWy78xtsEdMPw16bEoCJEACJEACUQlQjIyKhhciCWjG6c8++8yo1i89oXLx4kVcuHBhTFKY0HVNZqNWhbFYzp49a2T4Hm9tmrjmo49Gfwm8++67DQtP/aIXq3saby+sIwESmB8Ct2/MA25cha//+vxMmOSz+Ie88F+7hLy8DUbylkTDMfhhK+Ad+VEsfH9qu//7oIu2viepCKkxkemiHU6JxyRwEwREkKvO3oLqzXvRfll+9Bj0w/FhA9q++zCKfmS/iYGn0PVooI1GIh6rBTpQuLUQHaMdlKYw6HSaONFyyIa23oOwmafTj21JgARIgARIYGoEKEZOjVPStzp//ryR2EWzTUcWtRQMT/oSfl0zVKu7c6wG0le3tkuXLoUvefhY417q2nXv4UVdvDWG5K9//WvDnTv8Go9JgASSm4CGetgogqTv6iX54tqf3DDmePdGmA0RItfk5hgJW+Z4ugUZfiIX7Q4J++02pUDdsTXmscZvVsstfQ0ytvGC3C5OmmAEut7dixpU4HTjs8hfKYqcRNrPuW87Wlr3wP7Cbnzw6zps29E4LBZ6jjcOn3e+W4dCyXCv/y9W7WsNtPF2ouaJStS8UhawfPR0of75bUYbk6kQte90TE5Qx3h0i9Gu8DuBuced61Qzyp6oRvUTJmz7cQc6D9SgbEc1KsXS0mTahsZftqBuR6Exd9mPWiLm9aB5VxWaYUfhgzXo+mT0WCqPtvy4Mrjubah/vyvQXyw2G4P72fZ8Lap3VKL5nEipp5pQ9nzzMKfmFyvReCIgsY67doNTGaqlnfIzmarQGpyi67fCOMh124uN6BLL1SpbFex9wS302Y3zjrEKbsQeeUoCJEACJLDQBChGLvQdiJP5NQ6XJnLR+ImRZd26dbjzzjsjq41z/XKkMRhjtagViSaqCcWHjFynup2PF4NMLVBUmFXrSRYSIAESCCegSUTWSUZntdhTyz2WOSIgfK3LshEZMmSOZpv3YX09VzD0aXvUecNdtDWhnLpo62tPQ6OwkAAJ3DwB55lm4OVnkRfxv5TlvhKUoAl9GwrRvK8cLUGhrOX1cjjuzQeO1mFjsYh9Z8Wa0tkO844iPHdAG3nQ9nY9qs+WoP1AGTr3laDyXDncEr/cfbIaVaVVmFRES8vDzjcOwyajHXyhNOpcHhEGm94WIfEbh1H/rXx4XG1o2teBigNOtDfZUP7HD8Pz5H44zx5G5wsPD4uDAWpmFH9np8xhw8G3n4XFP3os+4/L8PChrXC4/XB2VKByay6a5OOw/bVilPcJg1439tzvQM2+ejgkaonH40TTa47gDfHA8Wo9nPLW6JmQUxOaM7fD2etAwzO1KNonlqjdLci9vxwlrQ74e9the7Ucz/5yMfJRi92/7DTG7xIRuPZoPvLMwen4RAIkQAIkELMEIt5eY3adXNgCEdBkNZcvX8aXv/zlMTGoPBLVWi0LN0gimGhFRbtYL+OJjaE1q0XntWvXDOvI/Hz5gBlWIs/DLvGQBEggyQmoMKTJuy5evgi/JRcmJhOZ1VeE/9plZGcuMkTfWR04hgYbaP3XqKsRDQAdKemGVaS+T+l7rb7m9AfDyCRyUQfhBRIggUkI5AJu59g28vnXIUJd5rKtOPgMUH2gEyVPe1C9D9hz2YbOd6qBgiIR6lrEuhDILADq323HTx/JFTmyBG1/U4F8/Qb27Ra03d+Glnca0fHhfqkwD1sPjp10pMack4tcGSdvgxmdfyszjDPX3s3q4P1T7H2mWEYFnLJm2xt7sHWtBehTy8rdqHgoDxbkoUrWp+JgeAnMkStzSPtT4WOJVeTPmmErLUf7L2Vus4wrHY90fIqOF+xoOLkdORLJKefJauzZXhvYT+S3TZlPS+eH4689xKn++8WwSN/S7+4F7m3DiXskbEVBAyoeUC+tHOx2OtDllfX9cCcq/1isO/0VaNlVj53/tNvYszEJ/5AACZAACcQsAVpGxuytWfiFqdh4+vRpw+pkPJev48ePG9ejrbS/vx8aLzLWi8PhgO4lWlFLk66uLiMu5nhtTpw4gd/85jfjXWIdCZBAEhNQ6+lVK6zA1S74fb4kJjG7W1chcnF6iiSskficCVwGf/OrqLv7fcoiDImLtr43q4v2ihUrDFd1FSbHe7+OOhAvkAAJRCVgzhIZ71U7XBEtPKda1IEZFrlc/J29sO8Qh+Z3m2B/pAHFK4ONRcdUJc4j7sO2Xftx8Imwf6+Cwl/LLqvEfqyDw5OD4kfLAh0i5pro1BMSECeaK3yAoOuyByIuFuQEBTvjLLzVqOPhOcJrZb7AlB7JLm5BdVMDytY4oXKqZTikvFmEzrASFCBVcM0Mqw4ONCEnpKmcKkUsLLV98EwOzDDLtZwHxVoSdWg+2ow9R0tQ/qCKlSwkQAIkQAKxToBiZKzfoQVcn1o9albp28TdMLKoteD169clNtrGyEvD506nMy6SvKiLtssV+VFzeBvGwV133RU1QY9eU+H1ypUrozvxjARIIOkJrFmzBiutYiFuCJKacoTlZgiEhMjNm26/mWFivu/QF53wXTgbdZ1tCIiO6pKtP5hpyBG6aEfFxQskMCMCeY9Vi8hVheJXmkR0CwzhEiGyTGIUlv58p2HdaC4ow0t4DoV/LJaAL5cYjawrRTFzWFD0zRKUPlYMz6Ey1Ae8iMPW4UHnq8BLrfWoeLJY7BPHscAMaz32UNyeRYyc2lwRvVXEPBpRN+VTEQBFcHRY8lHyzVKUfiMPzWIl2ZnxJcPCsvptuzGS62gDKuXIEA69Au9oJ1w677kWlMvcWj/dtW+4XwTbQ/thNz6yu1CbaUXFu10ymA07v2/HNptk/n5Z3MuH1UpjKfxDAiRAAiQQowQoRsbojVnoZamlYE9PDzRZy3hFv/R8/etfH+/ScJ0G0tfs07Fe9EvcZHEtc3NzDTFSrUXHKyraqmUKCwmQAAlEEtBQEKvVQtIlca6iZEaO7MPzsQT8Vy8iKyMViS5E6s4HWt8bCyBY4/SbcNqUZlhAarIai8ViJK9RC0lNZsNCAiQwSwRE5DroOILiXWWwZgaS0Vg3P4z8n7dhv8RhDJQclP9cYjeKJFleYDGqch7bg4aHnoNVLJdNpkyUuX6KusdHLCMDWpkZRY07UbPVavy/XPxXnagoaEbhU8GEOAWB0dWKcKy2ZpY4iZpcph6WieYKjhEYSYwKQwOlyahh18afQ3uJ8BjqHNa+9I02FH83kPzGlLkFztePYPsmM0oPHEZusN5qqwv1hHlTMXYX1CA3XXjcVouKR9SxWxytJ1p7+NzauEBWuakUh18HCq3K1Yqqx/ei7psBK8iipxq0FRoeLzKe+YcESIAESCD2CZgkG6VEHmIhgRECX3zxBU6ePIk/+qM/GhMnUlupReTFixcntIocGS1xjjR+prprq/A4XlEu6rKt8TVZSIAESCCSwKVLl3D+ggOmZbcgZdHwV7zIZjyPIOD3iUWpJKuxZC3B+vXrIq4m3qm69Pf+xbfhvzq+pVSLKQP/PWWx8f6sP4J96UtfMt531Ao3PT098YAk6I7e/ODzBN1ZfG7rW19ZP+HCPd2uQPzDLIvhnj1h4+BFj3jdeMSN2KLu3tFKn0vcwINtQm7XkTEWx+sb0XZKc403zk3UqVeR2WxRb+mRIuty9XnkRxKgsSQTzh+68ew9gQYeqVevK81KHl6mvXYxDFD3ccONPjiQJsPJtLng9L802j08fCIekwAJkAAJxBQB/oQeU7cjNhaj2bFtNlvULzVnzpyZ1K1Zd6Lind0ecNeIjZ2Nvwq1dvzVr6LH5gr10vhvV69eNZJShOrCnzVxgCas+OSTT8KreUwCJEACBoHVq1dj/brbMNRzHj53L6lMgYB/wAO/8Fq93JIUQqQi8XYciypE6nW7KeCirYlq1EtBE9dkZWUxcY3CYSGBOSJgXikipD7ChbdJ5jKLIjehEKn9VdwMiZUq0kUIdVGniGg7pbmiDjazC2qVPUqI1GFkXZYgJOchCfMYEk3lkiEejrO/aa9dJg0XIjveqhQh8jnsbpHM3zPbCnuRAAmQAAksAIFx3hIWYBWcMmYIXLhwAWpdsXz58qhrUlcw/VI9WVFhTmMpxnoZHByMKjCGr13d4R566CFojK5oRS1UjF99ozVgPQmQQFIT0H9b9d+Sz05LTMChQaRkRf+3NqlByeZ9N65hqLcbeRs2TPielGicBidw0T7nT8FFcdFOEfdPfa/R15NaR9JFO9FeBdwPCcQ7ATPKzzpgzpmGejvDLec99BLaT+5B/iZKkTNEyG4kQAIksCAEaBm5INhjc1IVIj/++ONJk85o0hqNszhZ0cQ3991332TNFvx6dnY2HnjggSmtQ13guru7o7YNCZHnz5+P2oYXSIAEkpuAWlHfvSUfS1L98Lsk07aIkiyjCfhFhEwb6EO+JAib6Mex0b3i/8wvP+AN2j+IupE2sYrUolaR+jpSIXLZsmXQLNosJEACJBBLBCxrJWN39N/vZ22p5pw8CpGzRpMDkQAJkMD8EaAYOX+sY34mzSp9++23T/ilRl2vVbScStEvRxNZEU5ljPloo27aIRFxsvnU2lNdz9WacqLy2Wef4ezZ6JlQJ+rLayRAAolPQMUkTcRyywoLhq6co9t28Jb7Btzw9ZzDssx03HP3lqhJ1BL1FWIIkf3jJ0rzSYjv36UEXLT1hzEVIeminaivBO6LBEiABEiABEiABBKbwDz8XpXYABNpd2rJOFnRBC7TyRr97rvvGtaRan0Yq6Wjo8MQI/Pz8yddooqrGqOrt7d3QmudvLy8Kbl+TzohG5AACSQ0AY1Fq/8+nvn8C3hFiIO4bZtSk/Ot2dd7Bejvwzp5L0oma8jwF/jg+9GzaJ8ypaPXlIpUyZgdctEOuf2bxG2bJb4ITJYwJb52w9WSAAmQAAmQAAmQwPQI0DJyerwStnVbWxuuXJEvgpMU/eKsCW6mWvQL01TGnep4c9FOs2BPRyzVbNqTfVFWYVcFSRYSIAESmIxAyG17tTUb3u4vMHTdNVmXhLru8/TBd+UslplTxRry7kn/fU2ozYdtxndNEqS1/z6sZvThR2Eu2pqwRq0i1TqSGbRHc+IZCZAACZAACZAACZBA7BNITvOL2L8v87rCS5cuGVmip2LxuH79+mmt7Q/+4A+MuFbT6jTPjb/2ta9hOlYlbrcbfX19k8bNVBFW3doLCwvneUecjgRIIB4J5Obmwmq14uy587gurspYbEGKOSsetzKlNWumbLhdSIcft21Yb1idT6ljgjYa/ODXkrXHN+7uBqT2YxEjU8QqMtxFW4VsdflnIQESIAESIAESIAESIIF4IkDLyHi6W3O0Vs2MXVBQMOno6qKtCW6mU/SLkha/xLqKxXLjxo1pCSCkSH4AAEAASURBVJG6B+2jrt2TFRV31Z378uXLkzXldRIgARIwCKg1ucaSzFt3G9IHeiXBjQO+/hsJRcc/2A//tUtA7yWsWbXCSOaj4S+SvQy2/mtUBMdFsh0QV2z94UwzZ+v7iwrXmpl9Oj+mRZ2AF0iABEiABEiABEiABEhgHgnQMnIeYcfiVJqIRa0s9EvNZKWnp8ewCJysXeT13/72t4Z15FRiMkb2nevzDz74APfee++04mBaLJYpi6tqGToVtnO9T45PAiQQXwTU/VYf+u/uBfkhaOiGC37zUqRkxq+lpCanMbmvQcXI3JxbcMstd8TXTZnD1Q51XcDQ56ejztBmCoiOGrdYw4qoi7YKuPGQJC7qpniBBEiABEiABEiABEggaQlQjEzaWx/YeHt7OzSL9lRcidWFcCqu3JFIV61aBXUFj7WibtSa8Xu6e1KXuK9//etT2k5IiPSJ652617GQAAmQwHQIaHxafbhcLnRdvARPd4+IktkiSmbHRaIbtYr3u3thksQ0qSY/csQSX98TWEYTmMgqslccC06mpBkWkPqepT+IqRi5ePFivq+MxhhXZ51Pbo+r9UZbbN5bjdEusZ4ESIAESIAESIAEohKgGBkVTXJcGBgYgLppT6WEhLWptA1vo3EmpxtrMrz/XB2rCHnffffNaHh1vVarFHWRm6x89NFHhlvdli1bJmvK6yRAAiQwLgEVoPShCbe6u6+gRxK+pGRkwr9oCUxmeZhi68cOdS039V/HkAiR2WLhufq2Ww1Lz3E3x0oM/OZXUSnYJVakX9yzNYu2CpAqROprQYVJumhHxcYLJBCXBDwSSleidbCQAAmQAAmQQMITiK1vLwmPO/Y2eP/9909ZKNQ4iefPn5/xJtQK89q1azPuP5sdT548CafTaXyZm8m4ymKqe1HRUhPesJAACZDAzRLQOLzr168z4vzelrMaS9AP78VO+K92wXfjKvzewZudYkb9/WJh7xPhUWNBDl06gwyJd5m7Yhk0VMXm22+nEDkBVe+nHfB3R/cesIe5aOv7iYqR6qrNxDUTQOWlhSXg7UBlMMapCubDD1s9RGsbv7g60Xq0y7jmOV4nfeqitx1/hDG1rlN22M9FnXFMe8iMjTYT6o9H9PG6YH/fftPrGWfCkSpvF2pLNCbsNtgjph9plCBHHrvc38LAPsPue8e+bSjcNzYm+3RfDyP3Pcr9nBOMM59rZL1TXViUuW7mdRp+T6a6DLYjARIggZskQMvImwQYz93Vuk9jkql1xVTK1atXp9x2vPG8Xi+OHTsGzV69kOXixYv44osvJF7ZLTNehroe6n6mUjZt2kTrlamAYhsSIIEpE9Av9yEXbg0Dof8+u+RxTUVJ+ffJtMgMf6pYbqdLrMF0taCbvd8ejXxkXklCIw+TdwCaFdvv8yIrKxvWVcvlfSXPiEU85c0kecPB99+LSuCSPwXnU9OQIvdbLfHVIlKt+tVCkmJkVGy8EAMEHLKG/cdOo8gCuEPiWpYVUY3+uppRZNOEh8/CvKEMbcfEQvAm9+E4VIhCTzv8f5E/xZECM4aWO9LJgcKthWgb9MM2Z9+cnGg5ZENb70HYbnbjIwuPzaO0fLTbG5Cn+zwzct+jLXa6r4eR+54Htw6aNj9Ada6xr51ouxqpH1nvAr5Ow+/JyNJ4RAIkQAJzSmD2vp3M6TI5+FwQ+OSTT+Bw6MfFqZU77rgDOTk5U2s8Tiu1kLldLGQWuqgIeffddxtu1v8/e+8DHVdx5Qn/5H9pBRukxASJmGARO7gVHNQKnsTKMOcgFvZze+BbWmN2kQ7MTlr2LtjD+UAKM44U78RIIQNS2ONI4ayxkl1YibNhJWbtkbyD181snEjOGNQCE7UHO2oHO2kNNnQTK3Rj2X7f79Z7/Vfd+i8jS1XHcr9Xr+rWrV/dqu667966k+VFlJHjPQNSlAZyLqdYYs6qFPKicQvfQjs2ovqZDgxautXQsR50vNQB74lQnN3TXWh8xR+/11caAY3ArEFA1iI5RqNg5Urc+pW1sK+5GSs+x2jLn8rC4kgQF8/8BpfOvqsicxvnzuLiUJBWlL/HpcgfIEFlVHTrYSoVRbEofwwwc4kKxkt0sxZrx4t/YPAc1lPWl3QPv/Avv8bCP5zF1Qsv4npaP35p1U1wFBWpKOBitSdB0XQaHwIGX2oNv3E4Y+E36KItSRSPYhUr+MpLRI1xRsj0g1mDgBP2WwqQt6IABausvzxqJqmu6Xm+Wr2kld9HtS95Af7G2GjfxmfbUPkSLeNCvWh9pR+44Ef9/WWo/XalKr/x223wvNKIYtbLyiqDx7J6jJz2oJpWhUIvy1GJjrd5xu6BehQ+SpJPFKLtmKiIIvD80KSTlbURLYcHmcdEi8S2xzequmWP16O9L0UJKjzcax6zU/xIm1I2+V9rtnjIQvXzPaYCSvFaifony8hDC47tq0fZllpU0tJS2ms74EHzlmKznWc8Ztux/yPo2lGNLnhRfHs9Bv+5C2X316L2/ixs/CHxyMh7KMb7xscbUbulEl2CyYkOlD3eZfLF2l3Ez8QAyMx7HOesrGr0WPAMvt6GjQpv8kL8B4d8qHZUwxt1+BnyqntfghYu1NeCjY93mO3L2DpqrfK06NtSho5fn0TXC10IUBGZNO70T/cKZtZYVr9I2ZAUlQdSlL5UPllr8VQcH0ez5Ihxz84HKndUxsq3vR79bZtBHiw66oOy0WLJhhrDPqtuxB8byyxnbUwOE6umxZkFvC/WmnIqss/+zaScel+Kt1X9vMccjxNdqH2mhb//LVl8sgtmrwLmmMheIGFOqH6/bglDYgf1tUZAI6ARmAYEtDJyGkC8EkmIckw2sCtWrBg3+2KFI5uhqSRRZooiz++//Iqtjz/+GCdPnlTsT0WpKgRWctMv7nLjTe+88w5E+TtrEn9oVOcWo3p5BVp+UgVbWxnyyzu4IehArn0r/PyxWbw6Fx2nheMIWu5phuP2glnDvmZEI6ARyIyAWNCJ9Zy4c3/ZbucLB4dSUBbw3MbPL8/Bdcs+hWsWG7jKCMN2/vdY9NEHSrm4YOgMFg6dVfef+vhDfPpiWCkcr71qMfI/czVWfj4fa760Gl/96ldxC1/o3FRQoILRiJWeTpND4MJbvTD+EN3Vj6TRR2WkKFgkanbURXvp0qXaKnIkVDpnliFgo2qt8clGND5j/tV/u95U2hzrQMmWEPoZmck4042u8mJ4bE40eerYgxrU3GdHJBRA4w4/f31E0PsyX47mu/lCtx+Opypw5/M2tPPl7sGn/bhzC3+3sEzrDXfC/yAtIPn7cmBnDsoebEfOHVU4uJOmlts74VpDJdcPy3Dn/vUIhA0EfW5Urs9Xv3G6HslHxWkXBkiz7nZAKCalRQWo2n0QpITOJ1xAXzNuKqVi8RRf5JAn25YSbNsnyhrhtQW1p5zo31fGlz+96KDLsXtfEP0dDlTcfSciD7QjeOog/E/cGVMOmm3ZUPpIFdtwoPPlrcgxQuh4mUrJuw6i5UF7Rt69z5aiYqgCgXNhNKwLoP75FgSoWYrwJVTHs1FjgwgCT7UgSCVTZFTeO9CVXY7guQBaNzei5HkqAs96kL+uAs6eAF9ImfhvPfBp2NGIugPm7/hBKmYb++ymlaMFXA4V0F3PtsDPNgePkG4fx14UwlRcVjwP2G800PpsK0J5yeNuVo+gfFcQwaOtaHyoGD1cHuPyQL0kFZ0tO3LREAyjv62Y40g6VrvykZcy7ljKzCEHmoiRlK9Y16LKZ5KHBFLwvUQ5OV2BMOUq0EOsHQ0YZO2W9Teha20zwrSU7X8YuPOG2tgLfamfCefQa7UofsiH7kAY4eOdqGf/PKtnRk4j0lb5IHrZlnGmF9hyJ7bRqCBCV+76JyqRs6VLyW/Bjo2oeNFUeKsx4Zh5dnBOHHOpuTKwl7K7jvsC5uukEdAIaASmG4EZczaYbkY1velFQKwsSkpKJkRUFIgRnqxt5+Z2Kumjjz5SbtLhcBiXK6iLBOr55S9/qc7ZEkXiVNNEaYhiQAJPzJYUOdHJn5JVCHyvHHlkyrGvFfU3tOLQvbze1YqqzXY4I9wkyI/awWZ0fLMOnctnC/eaD42ARmCiCIiCcjwBtyZKV5efGgLne36WkcAAFiK4YKFy0bbRYkisX+WlYHZ29rgt8zMS1w80ApcBAfsqO+yiDGKKDEWQL5FZbPKrowUVjxeg9gEn2qksKZDfF/nML+IHiyBhdxKBEw0Pr0cO8wo3UF35rQoU8LiCgnu20uoxTBWgDe4zAyg86kfHi93o3ddIIq3KNTc/Lx+OSAFLROD7cRccrgr0H+giDxGlXOz2vQUblWOtx92kyXbv24oG1LJ0crKRTj75KFhpg/8nrF9UQoWmh+pWIJs8t7zWjz0b8lnPid4fuWEnrz7+XnbsbsD6FSQ8JJaVdXDfUQByjmrWEeVgYjLbyGcbLH9CHH73oGlzqeLdk5b3d+B7wkve+TuOGOc9UIuG8kaT9wT8VBtsT5L/yOi8t2wvVTi7Hm0C1vbi2C097Gsr3F+XMctDXTBApRv5e7oKlXfTutNwU3HVgqpX68hnQlpejCax8zwxiJxDvXBucsDT40PFBdbZbOIjiEoqSBh3v2C2qwGlq9gGXKQB9J5gXiJx6libjm6FPYeZHC8H3PBHqMiNlqFLdnzceUTAcZZ/keO7NLH81gzyMAjXCumrmfJXcJ/0cgW2PRlG+QYnlb525EV86Ojjb+UccasnnkNSthG9Z+usWplxdp6up0z0Y32eMOukYnoAWG5DYAbk1EPlv6ttAA7VlgPVHW7k7+xBw4uUrQ0c09vMMa3tqUPu+m4qyks4IhwTWvi2PUXp81VAVb2nDoHjHMdY7/SFRkAjoBGYPgRSv66mj7KmNKsRkHMTZUMzEes+UeidO3duyv0S60oJnHM5g7rIuZhTdTOPdnx4eBhvvfWWsg6K5o31KRHLxxu1fCxa0/HctqoCwTOwflzQVeWlBpLdinX/Kp8WCIWo9LvR8ixwMOBD44YAmrxiE6CTRkAjoBHQCEwXAsZHf8CFo7RYyZAkcI0keXko1pDXXnutdtHOgJXOnn0IiGLOuYmu2iN2GqUIU3nYfYjKvOfcKHtZFGphqp6YqORJlyKiuFsUQZiKqPxrTa1TTGFIT4/6a29C7aY6WvSVYuMDVajfKcq8lEQ9i6i/xNoyEslBbUcr8q8P85cPUGwpTMVBW5QuMdopJIQP1bpJiFZmVErtaEdnvniOWLUUr1ZFK4ucU6mXZyns1F0K5fit6mv81rxKy3tQ8V6XifeiKBEbsnkZ69N4eI+esUgLSwHNRJxEqEy2RYjR7bSWpBKwqy8fDX1OtNyeF23M+sxB6W4XKna3oOA1KpP3laL6hma0bGpB3cOkCQ6klRRfGcY9l30IpshP0siK4lGNapTaGJ+J5dNhqjTScRo5d9QgeNwJz2u0hN1cSCWkG/3hKlUgW/i6QO6XlqC9rVMp3eO94rMROF+PyA+YHQOTcPIM1UhK/6SeWXUqchoh31T0LpeRjybivi6HYxnksSrmsQPqCQ1DUJRYzpSUxBwbFbm2VD6jZPWnRkAjoBGYAgLaTXsK4F3JVX/961/jgw8+mFAX8vPzIcFYpiOJW58o50QheejQIWUpOR10U2m88cYbSnEo+VN1zY7SPnv27LgjaUfryKcogMcbgTux3oxc8wdZDt/Ght7uYsTLbNz5RCndRtw0WHDSnWMA7vvddM/oRGFPI8JPVyPbOh+p+P5G+NRb4BnhShPVCGgENALzBoHhIz3czIrmYmS6YABvYrFy0ZaXaXJOpJwXqV20R2Klc2YrAgEEToYQOpvwF4ogdLge2Q/1oOQ+Nxp+6qG9IFVT8rtCTQVRFU4wXQignVUO7q5B+V3redyML5kAre1EnWaj0i6QQ6+Pe1xw3UU3YlpJ+j91K7ZS4dWyz6vqRI7xN5EqnUzCvKOqiTzmLqeqKJCDknuccN1Xisj+MrSMdfKQ9C2Dwi1dS8l5mXkXC8taKnMlhfpa47yLkqzPj5C0y/M0K9i26MAmyvvKdWXA/nZ4Q6oFNGbnwv3aIIk5ULXdy7MgGfl7Z4JVohSzkn1DBbzP1qJjXSnstDAspTVs7ctUUFMhlpRGGfckxWNSpXHcqHHPVC4DpnG1q6rofTILFT02uDZXof1QN/N6qYAWBShf5q8ugfM+F0pXh1DGY46oo42l9Dh/CnbKTBfPSFVwnu1BNq3dPYRTpWmVUxtKHnGi8VmP2RZdszt3dsC9oZhK/Vx4n6qLjWnXc/VwPu6I95yBbEo30Fr4kDmPQocbkZtfneSGHuuovtAIaAQ0AlNEQL/nmCKAV2p12dDI5mYiaSJWlOOlK3zccMMNeO+99/CFL3wBYn053ujeY7UhNOVszDVr1oxVdELPhecCnpU20STnVYpV6C233DLRqjNSvueHG1HyaBf2eOhedIc93sbyAqznHy7whybPW2o9FEDpMi9aeD6Pbf82FD7rhfEdbSkZB0xfaQQ0AhqBiSNw/nBmF+3+rEWI8FznhfwTLwZxzxY3bXG1lzMkddIIzHYE6GeBO3n2dFIq2oNwjws1+wuRnVVhPiqqQz/PdLSdlbJlPFOwFO08uzFurcVnFhEJRpKkrCziA5sdtY/x3L5cc164HqNyrK+S5+CVoGE5z1tkoI6WDWG4d/eim2dlZz1qEnPt6kb5KlLedxAdNzB/i9UIP5TVW/yWVzaekyjBZVoQ9jbwd1EucrO2mSU27UFgk/wmNJU3UV7lYcwKbhHtzIriqrVEqzOTSPT/eF/FZT2aXBl4j5D3VuFd9Sn+u8y2qhR1tH7LX1xPErRh3GA+y7tvNN4T2paGxVpulQsHd7Wj2MIWm5oQuCdPsVXyEF3heYZn66YMRz7llShFc3iTWOHxTMxdTuBQhem2rxSQksu/nPi4N/A+hhmvk3CyrPeS8lhGqCRirnJi4x5MppFQPj2mqkDsP/sDnQisLkTWQ2aWg+eP2pcWoIGRwHMduQy3ZKYmnqkpFsCmWpjGDxlwzqNCtmlfPmXHlH2RQdcKunXH+J1GOT3Ctl6Jt4XNrQjex7E7JjwzOnx0TItq0L/Jzry4/Lp4Rmp7wpyQ/uVpjYE52Pp/jYBGYFoRyOJhz3z/rpNGYHwIHD58WCnTRCE3E+lXv/oVPvzwQ8iZjNdff/2EmhD36f7+frz//vvKDXzZsmUTqj/ThSWAjfA4K5SRJ9qQtboC7b4gXCtpIWm9kc2RM3is1PPkRvTe14mtq3qQld2JgeE6ZO+vRn4PD2b/Hq0PdNIIaAQ0AhqBSSFw6f0zOPdX4iCaPv23rKvwqwVL1Ms5+S6UoEFf+cpXlHWkBLPR6cpHwP9A+ZXfCfag4KW2SfUjEgopKzPx0oglS0mVeGZk7NkYF0KPmi3xJLasLPkpU0VoJkyZEMvZouX4SCVaEoZotZnDAF8ZUwpvin/xMpGzCC9TSs87rSJ5HieP0USbMxvBp+l6fovJk5zTKefNJvZfWJ0w7/yNqFzUE/oqQVqyHSEEjZqpnyeYgu20wJky7plopsU0sbAlG5CxTviNLC7agrttKWUuQb4Sq2bCWcZF6ClZjVZI4TctX5OVU6pro7xH3m5GxWtU+P9lAWWeFp6JfYryYn1GOCegXbRTUNG3GgGNwHQikGH5nM4mNK3ZhoAEjvnd736HL37xi5NiTdyNZ0oZ+WVGaJVAOYsXL1a8iQJPAt6I9aS4qImbswTRyeGvLrGgPHbsGCMsBrF27VrFk7h/izv2TCoi/+mf/kkF8ZloGzfffPOk8J6JSqFTdDdiKrPLG+locqF/uN0834lRtUt6KmgBKc/Wo5fn4dy0WKwOqtB7Risio4jpT42ARkAjMBkEzvccyljtI74iPrZgsQpSE3XRliBoYlkv50fqpBGYCwjY+DtuhBpvCrsSoRdLiXQSr1lAfj+OSKJoSlSKjijAjBQ6aflPV28a89LzHlUo8ZzA/VQ0fi/eoJz1ly5NmHdqzRIp+V6qRGE5z3/0BKeuiBQGU7BNx/OE88ZJMy2miY1lko1U5WRiHes6E85pxyWF37R8ZeIlse0UOiN4oEKzQ5SMSkGZWHHktW0UReXI0jpHI6AR0AhMHAFtGTlxzK74GoFAAMePH8ef/MmfTLgvEsBGXMYul2WGnM8olo7ioiaH97/99tv47W9/i89//vMq+M7p06fVhk0UldPl3j0aKOJGLtaXRUVFoxVL++wCzwYT/MTVbqbSddddp9z4pkyfP1YkQmWmt71Tpq8JaAQ0AhqBeYzAue88hkuB36ZF4DCWoGOhqXgUJaRY00vQtxUrVlyW77m0TOnMaUdgvltGTjugmiBCpwd59jcD5aQopKYbmsigH/6hXNhV1Ovppq7pzSgCkRAGh2zIG0v5PqNMaOIaAY2ARsBEYIa/rjTMsxGBBTyDSjY4k0kTtQacTBuJdUTJKH/RJJuyRDdnOWfyciY5g1JcXmRTONEkikix+rz11lsnWvXyl+fb18S34JefAd2iRkAjoBGYmwhcPDmQUREpPe5dYJ4LKR4C8p0rL+LkU1tFzk150L3SCEwXAjkr8qaL1Kh0bHkFPENTpysSAR5RkKd/4F+RQ6eZ1gjMRQR0NO25OKpj9Ems58QderLpl7/8JcQicT4m2QxORhEpWImLXdT9fD5ip/usEdAIaAQ0AsD5nsyBaz4wsuDHwlgUbXHVk5eH4pGglZFaejQCGgGNgEZAI6AR0AhoBOYKAtoycq6M5AT6cebMGUjcos997nMTqBUvKudFCo3JKuXilK6sq6GhIbz++uvKvV2sSyeapM5kXOMn2o4urxHQCGgENAKzEwHj0iUMH+nOyJzXsooUxaOcgSyeAaKQlCjaOs0tBCYb+GVuoaB7oxHQCGgENAIaAY3AfEVAKyPn4chL8JqpKCPXrFkzLy00xBpUNoWTUURGxUzOu8zPz58SjSgt/akR0AhoBDQCVxYCF371FozfM4RphtSLxcoqUs5lvuaaa5SLtrwA1FaRGQDT2RoBjYBGQCOgEdAIaAQ0AlckAhM377oiu6mZTkTg6quvVpucxLyJXEc3RRJVez4lUcJ+6UtfmlKXfT4fhoeHp0RDV9YIaAQ0AhqBKxOB4cOZXbRPGQtwZsEipYwUS0gJdibB28RFeyovwa5MpDTXGgGNgEZAI6AR0AhoBDQCcxkBrYycy6OboW8FBQWQv6mkDz/8EEePHp03ijVxS5ckbnNTSZfoopeVlTUVErquRkAjoBHQCFyBCBgfRzDsPZKRcwlcI0le+MkZw+KiLdaRS5YsyVhHP9AIaAQ0AhoBjYBGQCOgEdAIXIkIaGXklThqU+T57NmzOHXq1JSoyAYpLy8PH3zwwZToXAmVxZLxrbfeguA21VRUVKQ3llMFUdfXCGgENAJXIALDvf/E6DUfp+X8kgG8mbVEvaySQGfyHSvKSO2inRYunakR0AhoBDQCGgGNgEZAI3CFI6CVkVf4AE6GfbFqHBwcnEzVpDq33HILJDL3xYsXk/Ln2k0oFFKKV9kYTjVNNmjQVNvV9TUCGgGNgEbgk0VgeJQo2u9kLcJQ1gLljm2z2ZR7trhoy7W2pv9kx023rhHQCGgENAIaAY2ARkAjMP0IaGXk9GM66ylGLS6mg1FR1EmE6bmaLly4oAIIfPnLX55yFyUa989//vMp09EENAIaAY2ARuDKQuDShyFc8L2dkenerLiLtlhDyssvOd9ZAtnopBHQCGgENAIaAY2ARkAjoBGYawhoZeRcG9Fx9Ec2OVM9MzLajESXPn/+PH7zm99Es+bU5y9/+UucO3duWvokykg5M1InjYBGQCOgEZhfCAz/ki+ijPTr/8d00f4VLSMlSI24aMv3qnxPy7mR0YBx8wst3VuNgEZAI6AR0AhoBDQCGoG5joBWRs71EU7TPzkD8c0330zzZHJZDocDN9544+Qqz+Ja77zzjrJKWbZs2bRwKS53a9eunRZamohGQCOgEdAIXDkInB/FRfttnhU5TBdtcceWIGmf/exnVSRtiaitXbSvnDHWnGoENAIaAY2ARkAjoBHQCIwfAa2MHD9Wc6akWF7ImZHhcHha+iQuZZJ8Ph/+8Ic/TAvN2UDkS1/6Er72ta9NGysSETU3N3fa6GlCGgGNgEZAIzD7Ebj4u9O4dOpkRkZ7F5iBa8QlW15+aRftjFDpB1cCAhciiFyYJYxOBx+kMWv6MwVYI5FxVJ4OvMbRzCdeZCwZFRwmg8Vk6kwTGOMaX7Y1ZrnJ9GEydaL9TpXLVFqp99F66T5Zdi7M1XRdm/E8CkbobAihodQBmfGWZ2cDY60R08X1ROR7utqcZXS0MnKWDcjlYmfFihUwDPqGTWMSF2Sv1zuNFD8ZUgMDA0qxOt2t9/X1IRAITDdZTU8joBHQCGgEZjECw4d/lpG73xtZOI5FygJSXliJi7ZYRoqFpLht6zQPELjgR+PjzRic5k2J7/mN2Pi8j7tzL+WrGN7LsscMoXFxNrrOctxCfvT0TT1Y4uQlIIK2dVloOz15Chj0YOPiLGSva8FlgW8KrI5WtefJLGw7MNZYjIHXhRBa7q+EN8SWUmTV92KZWsOUvI3GyHQ/m5SMjS2jvueKkfXcBPczF3yUlUr4U7BRXZa8IS8q729BKM3z2FydJD7jG18gVi4DbpG3m5G1uHmCsp5BbgY7kOUYfd6EDtcj69Eu1Wv/6z0Y5CSLnGhB1v0dMSR8P9mIspf85n3EhzJ6EGRllY1cz6Y6VzNgEmNklAuFW9ZEcUsmGDrhhff0J7PKeF+qRVZ2NnKvzUXusmzi3wy/sCIynbURvk+GrWSA0t1xTfIe9k5QXqOEKLeOLLS8na5zCWsE2+h4phLFjmKUPd4IrwiplXwHWlC9pQxlWxrhk3UxMZ3uQvUznsQchN7uQKWzGMXOMjS+YvKdJN9JpefPjf6lO3/GOqmnEpBFNjvTmYSmWBNeyemDDz7Ar3/9a0iQn+lOZ86cUT/WppuupqcR0AhoBDQCsxMBeel3/jDPi8yQvHTR5heDUjxGXbRFISmKSe2inQG0OZQ9eMyLtqe2ofrZLgTSKCmm2tWA7JsW2dHvbYXdNlVqY9cPHahD9eZOuPJYdrALJY72sSvNWAkbXC82oeKG0RUiozZPBUUXmhD0unEZ4BuVlUk/POtByY4q1N0jgzJaGgUvKiWqF+ei8uUWFOdSwXsiviFXFLkRb+gJonOzfbQGpv/ZJGRsXDJqy4djoiPOedawqxdl6ZSYJ6mYW1aMlpcrkbu4Gr40c13N1ckgNN7xTSyXCbdFIuUTlfT0cuPb1wLn4yWjUBtEw/patO90ql571pWglXJlW1OBPcfL0Nxnypj9wTr4y7eZykebHe3DQTRtSAPUVOdqJkzSNJWaZVtZht6jZaP0NbXGyPvAfiqpokrXkY9nLGdwXzWKy+vReiSgjJSMYD8ajm/DTZaSWDW8aMaanyLhAIrXF6edT+MhLP6hKSuZqpa4RnQ9kYuyJ/LQ/GILymytKM7fpl44iCK98O5K2B+ohfuGVhTmVpsvIqi89PV5UL9lIxrb/HH6lK/ctWXIe7AZLd8qQ6urGNte8SNJvsfD9Fwswx/KOs1DBKh0M/r7+2ek5wxoY9AK0ODZlDNCf6aICt+SGCF8RpqgMnJG6GqiGgGNgEZAIzA7ERg+9isj5N6U8e9vNn/T+A//4T8Yjz76qPHMM88Y//iP/2icPXvWuHDhwuzskOZq+hAYHjDqNjkNZxHopuIy+sNjkQ4b3burxKVF/dW09ZoVwgFjz2NOK99hNHSYv+36dzsNxy5es52GxxqMAfWTLGwc3OW2yjqNPT0BRWNgb53heqzGqNpg0q7abdHm094XauJtvtBrhH2thnNzqxG02A0fNe/DwwGjiry1HueDU50GVQyqnrtN+BmtXbbNsk1Hg0bnTrfh3l5j1t1QY3R62g23RafhVZNXq1nDONdruFmmX/olWG5wGq1HTRD7X6gyajoG+CBo1EV5ilUc58Vwv1GjxgaGc+dBwzjeabg21Rg1m3gvuIYHjKbNDhMb8nHwlDWAw0Gj1RoPJ3Gv2ew2OvlsoIN1FU8Wv6SleOftgKfJcFj9rNrdTbSYVHvsh0XLQcwD1s/qwBFibpV3bmf+uX6jqqjK6D0nFZmIjdyLTHVuhuFqIxZTxGugzZKbxzrNNhL+79/lMhq8Vv8D3WzbHHtsqDN65aevYMlrUwYNI0B5q7LkYkJjntDmSBmLPxzoaDDqdu+JyU7dXnNOGKPKaLx+bO7Es8aHX/Ag5cEV62e8etho5zjI3K3amyLHLJTYXm9bfL5V7T5oygLLBGNjTqx31Rk1uyiTTLHxlRvKTM3Te4wGSy5dOztj8zRWbsTclIpmCvv2kMc9sTZV7qTkJmg0sK+dgTDndJ2xZ3edJd8uo53zXFJgL9eyTe3q+uBOlzmPQJmljAd76gxsaFXP5L/u7ZxzIsMqhY09G1xGryVuKit1rsoc3B5fE/d4LMxT57BFcYQsZaifUa6IaZWsEZLO9MbWDXBd6JWmKXfxNZrrlDe6eqoaRuBV9teaz60+dox8urd3Jo8DiwZ69sTWCef2diNorQdp1w+WDx8/aLija9hj8fXDbJX/k68atuvuSJHJUweNmp1Cv1+tza7N1vjIGqO2spTnx9xG+3FrENh/12Ptit8w60a/R1DEMtZ4Z/yOIQ/RsXJt57zl99DBFHaE3xF9VGu+tc5wbUwUh1j/rIuAZ09svXRsajB6FfyUI2LTZH1nxOokrhHsv6zLnbHt+4DCo/U45Yt1q2LfSaa8K1oiY/wuUus5ZTjKV/9ufldstmSEjQXaiKn1PFm+Y5zMmwvRgus0DxGQzc7Bg/FJMd0QvPHGG8aRI0eumA0Vz7s0Dh8+PN0wxOhFFZ2xDH2hEdAIaAQ0AnMegT/81+cyKiL/2f1vjS1bthj/8T/+R+Nb3/qWsWfPHuOtt94yePbynMdFdzABgeOt3Ig6x1ZGUgkIuI1+UTid6VabnYPcJPXv4iZnk7npCR9vj9GKKTjUhsqhNu+9u7hB37DHoI7ACPqkLIz2U6Txgmw2HUYnN1lBKhclv5sbtqBHFCMuo5sVwtxkSX7riV7VttSTJEoOxy4qL6m0cEg/Yhtk2WDXGANsa/R2Yezx9HPjGzZaRRkq/J2jYpIKCMHlIHka8DQoPqK0zZbNjXSTj3enzL5gpyhRowpIcxvYzz47d1vKKLOiUhi0vtBqtLYl/PHe3GhHC3HD6JE+1CnMRQkr/XdTQRQIBtVG1rmLikP2t3+v4FSllIW9T8umUxSEYaO/zVQe7+GGV21GBSdJw4KVOSZhb5PqW7coM4NU2kkbVFhF26t7td8IU8EhStm6IxyUM6Lw4iZaFMlUQkp5V8dJxY/LUnYG9oriUJRKCZtkYwp4keXgcXOMAr6RmoK4MpJjyE26SykaqUQSLB7jXiNBBqX7goWSGXI4sTGX2vE0oMbHlLF4rsizKKKosDpDBCx5VkqeUWQ0qX5UkZ+YOS78TAXHHlEopaSBoxxTKrn6o0rrhOfRuWrONzcVWKzPMRflvlvGNGHMRRZkzFGUOr5UPlkyuucIx4iyJPWdL4jsJ8qBKHbiczOBDdZPo4wcV7+JeeI8C8ha0cBWrfHdxDkt86RD5oP54kXmiSM6L8/xhQl5rdlrKRzDvVQesZy1loSPco4URRU7aZSR7ETiXD0oa4fMQZlSXnPeynoVxcecw4k9T8YkU/1MchU+GsXNnGPmumCtYRvaTXm01uhAj6xlNUQ1IXHtO7iTcyWqgKRCr85SNsdKcQ7JCwglx1SYNfFalGGZ1g9Zj6W8Wicod2o93ZzyIiFs0uxMYibWopq38qLI+fRBIximAk4U6mqNtRR51gsINT5qvWE+y0fn/4AonJWcypxM/x2jsFZrftjo5QsbWdtkvUxMmfooik+lLIwqRRMrRa/V2mPhRnnsfIzfV0rurD6ktJX6PRY8E1ccB9T3kKzb5nyK82muezWeeNkB6W9MZskM6wSjL4s4fg1cJ801kI+S5DvK+Pz5nLWGtxRGnWYQATmT6rrrrsPHH38Midg53am4uFgFs1m4cCHE9VkiSc/WJEF3gsHgjLqY0woVEujni1/84qyBYfBwG1oPWWdY8uDi/D92o/yOPISO9cDjDaBgXSkcq3JMfnn2ReMRO6ruK5g1/GtGNAIaAY3AbEaA7gEYfv1wRhbfyDK/e+V78qqrrlKBa8RFW4LM6TR/EBh3wIXl4mbbgorHC1D7gBPtgTAKljPrYQ961/XC80obfEfELdqmXMMSnS3zkc/8CHw/7oLDVYH+AzynzRahKyrQ7RuEnb8BHLta4VTf+S5wQ4nekxEEnqsHN25YnyfUnAieGgCWFyDvMaD6FR9cDwPNz1PtcMaByMlmeFmmwNpZFOST3yIgn+30jNpuP9x3iHtvBGH+JGl6qQJ5S20osHMrvb0KpcLTSicpe8zgFLGdSx7Knnag9ogPzqXdwAaW7+jG4MNB1KIKgZUWAvzoGqQfcWKim2wwFITNFkcpQgxSxyLP6kOBitMoTn170LS5lND50NFH9W1OEJ79xHJIiDei92wtvE940Xq8nH0A8ujC11DeqMaDSCS4/tp4J2MC+I+wflEJgj4PXcKBbGLW8lo/mlab7VXdZVfun1W7HKjo8aP8VBvLt8L9dZGHPNQFAzxvlBg9XYXKu3lGGdWWnh0tqHq1jnz60cpWW1ZJP6eAF2vnrLJcsNdIu5mSDXl0oe0or0D9UC2cG9oRXiO/G32x/po1pe8m9hMb8+R24zKWnC+Au9oa4FjONpaXo3dnBdwHKK93dGeQ0ZT6aW/Hg18E2azrD5EBq39RUgW3mLjZV0RzRn56ON9oxQqHmm8OVHe4kb+zB9/ZwXHd1I6t1phXe2pQ/zjrJ40v7y9QZjZQNm6TtvJQ21OH3PXdiGwqTpADICNuI1lSdCY6z3wHmuHc3QBKpZrTrS+7kcd5m3cf5wNy4TkWgq3NC/dPrD3FUs4Gyr2twJwTUO7ifgZTIQEhIvd9ATWPTKlhXkqKzVUbz+B9CuYclMJF5Tw+oALN+7lO3J4wh1PqxzBZ5Ed9hvpUmKaXq7ssYifonsuVqv/h9bCxv86dQQycBHJP+YCXK7DtyTDKuU4Fztk5OgmJ/cvP4/oQKTClZkUpav4y4blcLspFCT8qHtiG8I5ylB4PwL4qD77nM6wfBXLEhBMVZ/rRtZ9H+GZztX+e6+OPnGoskqhzPRyRrLwIaTQ8Vooc9sf1CBFw9CLyHWstiK7FaryEgg3uMwMoPOpHx4vd6N3XyGWv1SSd7jvm18fgVVhTPmS9vK8adURQZk9iyrRG7tkgqyi/c1ZmkgpS4fEJnuO96PV70HbIh/ZnydLuROrJ15GTyWtEznIK4Fkfmh8pxLaXKVc9ATgWBcinfCMmJIqubzDIDBFY+TZL6YUtRz3x7WtG4b3bQGU5Ag/LNzDTOOTbLDg3/9dnRs7NcR1Xr+SMx5lQREYbl82VROyWwC2vv/56NHvWfL733nv43e9+pzaBX//611XQgJlijq7fuPrqq2eK/CToRuDhj7NW/vDPz+MCyQ2wbRnJnO5Arn0r/EM+FK/ORcdpIR1Byz3NcNyuFZGTAFpX0QhoBOYpAhfefIM7sY/S9p7vvNGXtVidCylRtOWcYomiLS+tRDmpk0ZgBALLSxHmRq9hQx66n3PjpvxsdXafZ0cuz81qRiCSh9J7y1gtZROUSIgbJtnuy0YpFMlBbUcrygrMzVNiMVGIYZFJJz9hn2dbmst8oOSbe+DlmWLe1zrQVbQHJaIUVSleWNXus7LH2a4qHd0Yk4AjX7jNnOwbtqLrB61oYaCe9l0NVHR0oeU5/l7ZzrO5ohvldNWpUC3bUIaNGxjkx/qTe3sKFEl9SKRj0c6WT0ZdxdIStLd1wk5FRjuzcrixNpPN2ppG7zN8moOCCJUvjh3t6Lw/ze8tnmOoFFwRbnh5GUOaClUbN7N5t1dwc9yMrr4uNPRRCXF7ntVYHMNJ45WB7XTZpTvDGDjagLxQN9xrb0J2eTwYiShoVIoxb91PYMytGuoj4/hEbCguoKxaKSI6qJjiOd54xvrRiimfM4vfxwgep6Jwuagzo4ljvS4HH53lj/UVceG05cbH1JzR0fJ8qVCUIDvcg6EoSi9eZ2b7HULXQ11w32MprCiVeVFRJJvStpKD6NpgsS5DNJUU6xPP7CNa4NYmliIh2evE5SH2IOFiXPVHlasosbh8ySzNzeEacEcNx7YXzrwQmjcXIn9Z5STOOcxDzbkg+n/gROgQFVqr81H5ks9sVIaWHUhaP6JzTVZ7YpJTVIvWjo1KqRjlVBScMkoe72AsS128zSBCi8tiwZhiL2moUEuXYvP6wiDqr70JJc/1IJJXiI0P0DaXL83SJfUdQ96Sx2qU9TJdHy3CMf7SNcTARrmri9F82I+ctaUoe4wspSuXlBcfw8HDDOp0bSH8dx0E3eJRLi8EFhWAx6soWY5Wk5cqpWvjcyyaH/skNs3OLCoi/TjoC8LYzRdWsTGKlZqXF1oZOS+H3ey0BFSZ6ejX2YzOtW7dupgiTiwxZ0MSJeSbb74JeRMuaaYDBaxfvx7XXnvtbOi6xUME/v0utHyvCuUPuuH+y61w8U3q4CG+Q6d1RNXmGtDlgm93udi+3oyOb9ahNLbZmEXd0KxoBDQCGoFZisD5UaJoD1ARGcpaqL57xDorNzdXeRDItY6iPUsHdIbZMn+NsBFuHL2veUdE3ZUD87Mf6kHJfW40/NSjLDMCQ/wuf4pOfz0tcD9QigKIZUamRKUVlWSBHDuc97jguqsAXbSS9MfVWrGK5vbRBvs9TnS9RF7kydkeZFNOPdy32m7ZyPYZ+ODuWtT9YKOiYFsh29oOMwqrlFcKJlF7jr9dqTaRZFtTCndfPer321FCy71SVxdqd3TAfb8jmUxMEWVmR07QZmi1E+4t/P1j/cl918nYKCTXH3Enlo1UOq4ugfM+F0pXh1BGpVuE2FZzk1r7slfVCPW1opJXamsbCcDrN7fBg6LEtfJzl5NSIAclxNp1Xyki+8vQ4lfV0/5XsI4K5/3tZlRrjkxjdi7cr8mgOFC13YuNjo3w7qyCQxq1UenKlnqtgDOTxSstI2kzzSi0PYtK4P5WA7p76FD8Mi3aqLANkA8/2QSjx3dQWZWo5E5LajyZMRlLKZwTQe3D7abc8uV6C+dINV+oZ5bRlPoZbseLX6LFbQZSabI/hZJHnGh81mPyzXWgcydleUMxCm6ns+yztDyWiShKjb+gZRVfRqSOryiXvE/VxWSji5aWzscZiidFDuJzMw0babLG22+l8D3by5WBewbqbCRl5zOq8E+s+fA25ydcKFmTg8KdtAA+kizo0T2ZWZPdUxOHnyqD60j0wWifDHJTwTko0YpVOutl4CBasTkshjLVjcrSaPUzyFWM5EoeVME1sPtttWKi51lGqKasexnNvqKHgX42V6H9EK24QevCqAI+VpkX1p4UQ354qDxLSqEeBkHiYQ2UhaoftIPnDKKF0bczrR/qxREJFNwu64oLBUNdqHgpkIzhojy421xovJdcWzyDeFWv5aq1szpm5Z7ER/SmjxbAAbOfnpdYfgPl8UJAvYw5uLsG5Xetp4GLpSyN1kn4VN8xn1qpxqp5vzlWgwcaQclO5pH3mfpokuOaamEpEdlTo1pHaNXIozbQ8p2tcN6Wj+CxZPW9SSP+f9IawbVq6/ptqNrbj7q/YDCmoRDEuAgXaLl/B7CN81O+MSISJZt42MUSO0Pyv7wV2/Zzbx2sQ8kKm6KjLH9ZfkLynYH+lZytlZFX8uhNkXexhhPrwNTFf4pkR1RftmxZzAX6+PHj4NmMGBoS2/vLn06dOqUavf766/HHf/zHuOmmm2aciffff19FRp3xhibSAH8Ud/MLszg7S22GsxzV8PBLLe8ON60dClH5eCUKH+Ub+uU+NG4OoOkvU37YT6QtXVYjoBHQCMwzBC7xO+7CUf46zZBUFG0+EytIsYYUq0ixjtQu2hkAm8PZplVJwkabG6Di0uKYVUq06zlFLtTsr0A2o69nZeWitqgOTm7qS9qqUL8+V32Xl/7AD3dRF4ofasPHrJio8JENj2t3L0ofLTa/97MLEdzVjfJVZguJZbmtVBsk+wMtaFpagVxp89oSuFjetULK58H1AjfGVCy41lub/JxibvmocLJ+3tlyxBJpGypotTjRdqWFmCZC3Zj/jdjq0UKlnJtyPEbrK37YNzTxfzdK10RLRtD9oy7UpXh22NbQddfoRWdXZ+xP7stj9cz21P8xyzLeFVn5bLeBEcq3rTNxz7ZXoIkusXZaKLr2HUS+hXGuozlGqGBDHRzP3qmwz3/WT6VFvtrI5t3XgNY7tpkYZ2WjLLQHzZss67bEtklJjdEqFw7ugopqLXJQvakJzVak7JKHTJfI1k3i0CkpB6XEx2cpDcSiZzJ4mbTG838OXHtrUGHPVv3MXl+Pur10a6eCp26nAxtvoBwtvgn+zfFY1VFZU9Sj2qeEpqIjmZAVu0yUsVimusjn/80mpssK0budEd5lbEeR0eT6yXMn9mws/Oi+39rnQMnK0biOUUu6kLG1/wXnG6z5JtHL17Wi4b48Rph2o7fNbo754nx0S/c498WOLGl8FUVGGGbEc5GNiuM1aNhkZ25yucy4sWiKzCmSY/WbkhydZ37lou1ii1YSK+Efm2tO7toK1HTIPGFf76LS1Gcq52W1yadyp3pdhYqaHTnWzZWkAgUWjL5DtK7dWazWpCjZtJ+KdxvK9x+EbYu1zl1bjPwXeq11i7WicziFQBwTHoWQsX4GuRJa0jZdgls8Tah0mOtCyROcqz92MeJyJwIPFZrr7rISWm4TgxQRsS2384gHRlx/my9wTnbhzvVdan2IsZnjQOd2PwoXy9hmoeQpJzppfZpx/VjhUjJTomSBFnnlQXTvolI7JdkfaMXB3cUoW2vynEW8fDs7EfzOeqtkwneT5FgYl+6tQ+Pd+YqXxlMuOGScOc9raXl4p9Vmg98OR18lKl40lZIjv2M4Vq/1wv4Dc6zyn+1VbebTmjQxZewjJYKoofj2FmIVQRcjsqe+ULKtKuWhHbXmWrCYRjZFbnRtKUTbMfNIheSW2GriGhEyo2E33luI7MXZ6mWcvDhu48ud0u9RQUnXe/k+zqZc170aiCnghXexVldvrKyODHKPDbqgF+aSzjIqqUkn9/42Ncbjlm+L1lz7yJLjMedap3R/xo/Au+++iy984QvjrzANJY8ePUqT/TxlKShnNcqEnMkkIi4LtyhBJRUWFsYsNWey3Shtj8eDW2+9dUbdwKNtjftT3qzuaEXJo1upcKTL9lOluLNjK8JeN2xn/eg5MYiCIn4R7a/kRqQO2xa1w1nK91Wb+KP5x1Wwy5eOThoBjYBGQCOQFoGP//FVRP77nrTPeCY/nlyYg48XLMSnP/1pFBQU4Gtf+xpuvvlm9d0005b6aZnSmZcdgQMHDkyqzfNUdJ+/uARLr1kSrx8e4rGFzMtm3kUrexRvf3khvGTJUv7FSYx2dT58nprzJUnlT/zdI3jkg2149ZuFsaqDr+3EQ/57mWft+FN4mWi7McKTvTjrwd3lg+h4tRwz8rPl4nkMEZsl2cQyEW/2W/L5ngGemj/F0Oa/x70rZWzO4zyhXCLjlJLUuBJjNYYpz9LektB5tpNI6/yv9+JPHx5K7u/viMG/HycGk8Tr3b/bib61f417v2j1i7xJ/0FcliZ0VckRhS4Jq7SdS8gcehc/f/Nd1kkgBPYdn8Effb0QS1JkTGoqforIzw0ch/OCaZzeWDIaLznxqw8o///O/2dJc2LiVAAlCzKfo+B9cAKeN8/jj+9gf0lQzT08jlf/Dd8kJIzvkpN78f2+Iuz4N3k0+uDpAdH6wkRCOTUX0uA2GV5VnYxycx7/u6YJq/7T41h1kevWwoQ15+K72LmhEvd2vIqi6OQUnjiPfl53N07c04F/fysfXBxkuYcSygnN75PmDqxKFIlU5klLGb5wnUsc/9RiSfeJmKSpP5pcJdNJM89lrRgy19GkcUmsaPUf59/FD77bh23196rxTixynmu9WkO4uCTOo4zrh8xFNpuxzSjxDHM2+jjtJ+tw9Uv6XpBywgui3y+JmKYhcuIXHpy/+Y9RuJyDGT6BR/7fH+Dxv/9R2rFN28cx6EebVN890XU6inP0YcrniDUi5Xni7dCHZl/HLWOJleU6Rb7vuit6AGlqwbl7z3cTOs1nBC63IlKwXrt2rYJcFgZxlZaNl7hyy6ZsOhMjhmNgYEApO1evXg273a4sT6azjbFoffjhh5DzwCRg0OxKOXDTjSdqkVH6F9UAD8gOXHDzvJoCrOcfLtDdh2+yJchN6TK6OQTDsO3fhsJnvTC+oy0lZ9d4am40AhqB2YTAcM/PMrLTn7UEkawFWLhgAeQoE/l+kJdy4tqnFZEZYZtzD+Rc7cmktPVIayLU0tIYhZnk8ufx6t/ege/uBXZ1reO52/GKX/zTJ/Dn37gXxx76Bb56TTw/epVMJ5o7c5//9/vfx5aWf8B1iUxOa3PE/er0BK+6WoDhZv0IP7ay3FWiOck8ThPGJmXMTx54ChV/8/fY8sOU/q6+B7v+7Tfwcr+Llpyj/xadLF7Zyy6i6eE/xdG/asX37l3JbrKfaewMJtxHIoYFn0PB56mhSlT2Sj6Vk0IvnT5q4fn3qPiSsWEZKZuQxpLRhKITu7wYYOCT9/Bf/g/nRILyc2JEzNIjcKJV1v996hF8/7UHsOXGN7D7fyzArlfspkwljO8WmiP+/LwERMuVIUhOCeXGkoPkimPfZZabxZT/ASy0cSyyU2Xfju/85z/Hv/4fx/CLR78ab+S9V7HzZ9vwD09dp8bu/QMt+HnlT/C317FDF0/iqT+pwN9jPX4iMpZu8OOUOP6pICQ8HMdlav3R5CqZXGpf5SnzMqwVyXV594eFcD56D3JHDKJMrfR9ypQvgpC+RkqrUi7NnE0plXybgXZGXpJrq7trIv8XFeXfxwOVf4439vw3LKjcBXtu+nk9EbqpTU2k7kTWiInQTeVJ7pPkO12BeZCnLSPnwSCP1cWenh7ceOONENflTyKJG7NsxkRxJ8FuZFP2la98BRcuXFCKvPHyJMpNccOWoDzifn3y5En1Vkyup1vROV6epNxE+zER2pMtG3mdZ08x+mZ/uF25CvT8cCNK6P5ldJXHSPY8uRG993Vi6yqeU5LdiYHhOmTvr0Z+TxmM70XN92PF9YVGQCOgEdAIEIFLZ97Due3bMmLxX7OuQv8CsSZYor53v/rVr6rvPDlXWAevyQibfjCLEAgd8yHIl5YF6c7IknO1FjEw3gj/t8vfgdBZBm6QaKifYAqdHoSN3kCxIA8zxEtk0E8XeQakUBHRUxrhmY1yPlnOGIMyabxIP8LzS2Gj6/AsGPfI2UFEluZllsGZkNFxYpwyMuO/5RmSvj4fAkF6ePEceok+HEvRthm5fnCIwYzSzUspHC03hhzE6I7zYjS5CQ1S/pdnlv8QI93npESbYU5s7CJyRt9SypVlPqXkjHzZll5+QRtTrsaJly6WjECIZ0v6GB0cuYVYX2Qd+5Fc5PLfzcQakaYXqfKdpsicz9LKyDk/xGN3sL+/HxcvXoxZLI5dY+ZKBAIBSJCblStXYpBfYOLSLedo/dEf/RE++OADnDhxApcuXVJubf/yL/+C06dPK0WjWD3KcwnK85nPfGZWBIs5T/N1Oej2c5/73MwBlkJZzgEdV4R0/qhpe6IUFbRyNJMb3aeasJ6H6qr0CpwhAAApAklEQVTEqNpZWyIx5aT3pVoUl9fzURV6zzTQtdsspv/XCGgENAIagWQEIvv+Jz7+Xz9NzrTuPkIWdi6gyRjPipSXZKtWrVLfb1/60pfoRrVUW0amRU1nagQ0AhoBjYBGQCOgEdAIzDUEtDJyro3oJPozGy33ot0YHh5WyknZpInloyggxa1NrDg/+ugjlXf11Vcr97ZondnyeeTIEaXk/frXvz5bWBrJh7z5YRQyUWImJXnLzYOBo28ik57pG42ARkAjoBHIiMC5mv8Pl/7ld2mf92R9Cq8s+LSygBSPADm25LbbbsOKFSuUpWTaSjpTI6AR0AhoBDQCGgGNgEZAIzDHENBnRs6xAZ1Md+RMQ0liZSgbotmUJLJoNLqoKCTlL5rEquSTdL+O8pHuUyxNhe81a9akezx78uj6kKKGNHljFLDL7wAxe2DRnGgENAIagckgcGGA1vsZFJFC7w0sVtaP8v0gL9IkivayZcu0e/ZkwNZ1NAIaAY2ARkAjoBHQCGgErlgEFlyxnGvGpxUBcSn2+Xx47733ppXufCUm534VFRWpTeZ8xUD3WyOgEdAIzDcEhg9nDlzzPhbg3QWmMlLOixSLdFFGyks1fVbkfJOUedxf8bygR8asS8LTbOFrOviYDhqjDVKEZ0RONI3F01jPJ9LeJNhLSz4dT+ny0laeROZk+B6Ln7Gej8bmeOfrVNoYrf3xPpPzMHk01mTEcrxNzGi5CD3VhP9PGsfETk5GFhPrj/d6NvV5vDzrctOGgFZGThuUVzYh2RgVFBTAMIwruyOzgHuJ4t3d3a1ctGcBO5oFjYBGQCOgEbgMCBi0iB8+0p2xJS+jaEsSxaNEYBRFpJyJLN+/Os1PBEJvd6DSWYxiZxkaX/HyeJSpp8ixFmQ5WqaF1tS5SaUQQiMjA3edBUInvPCeno4ep7YxuXvfc8XIei56jnacxlT49P0wC1nPjKQZp55wFfKjp29QZfh+shFlL/kTHk7w8oIPGxdnofhJT+aKogAY8qLy/hZ1XE/mgmmehCSwYS0GJ6REiKCFPDW+PXLM/a/3YJDZkROU3fs70jQ4sazQ4XpkPdqVVMnzZC08p5Oyxr7JgOOofBKTUF8Lyn7IcZ8QPqyXhu+xmIy83Yysxc0j5zvPhvceNteUtPJ0YRDVWWXwjhyOhCbj8zUhc+SlwqkS/gn2dyShyeX4XuF4c12RAKjZ2ZT7x9ss2YygOYsy1zdqJyfXqFUrKrsjiMjZ/N/eqDwhsra0jDJXQuhgwNCs7FyTf86R6ud7FLmMa3nES7rFI8dOxiFrI3zT0N1EWcz4PRXyoeXb1Si7n99f+3wjIMg45y740cjvvC6Zj5+w7IxgWmdcdgS0MvKyQz57G5SD9K+77jrIOY06TR4Bieit3e4mj5+uqRHQCGgErkQELvzqTRjnfp+R9aiLthyNol20M8I0fx4MdiF3bRnyHmxGy7fK0OoqxrZXpqCASkSuL/Fm9lyHDtShenMnXHlAYD+VsFNRuE13t2z5cKQ5oGYqfBbc14/+B+3j45TyUOJoV2XtD9bBX75tpLJhfJSARXZ0Bg4CO+6Eh4rftOkkAxUuK0bLy5XIXVwN3wQUSZ6dJXDvrUbeBA/7yi5iFOQ0zHjWlaD1BE8qX1OBPcfL0Dwl5dEgGtbXon2nU7UUGvTB81I97txRD39oglqaDDiOxqd/XzVyHZXoeJTK7Sc6RioJ0/TfzErmO2Ox1Ac8Vik9qgEUry9W45pOniInOtG4oQyOdANitZE4X1ObTbonTg27elGWRpmfVG4mbqhQL3TVotUbUAY14UAvip+tgPMnohyzoexoLyrWjNLJKfIUld1UMpFjrah4yo6BcwE0PF+J1jRKeKkTep2K6x356A2EFf+BI61o3FKClmOUVTUns0fOGeLd722FPUO3JijlqazzPkEWM35PUVHN6NeVZ4tR+0QFWu8tRPU+8/trrDnX9cRNqN7fgYDMx09SdtL0XGddfgS0MvLyYz6rW5QgMRJ4RafJIyABCeRPJ42ARkAjoBGYPwgM92R20X4XC/H+gkXKSuJTn/qUsoCQADYSkG3BAv1TbP5ISbynvn21wOaDqHtgPRx3lKOrzYUWWsRk3EjSmqT+/krUP1kWs3z0v9aMYlr+ZPFPrGlG1I340byFShEp4xTLMLoyHm7Gxi1tsbKRt9us+wh6nq82y7J82ZMdpsWcarcMtd+utJ5Vo2fQ7Mfg66xrtb/x23FrJM8Po2U3ouWwVZiWWHV3N6L1CScGD9Sj8FHSeKIQbbLpJjfp6vj31aPscf6xjea3Q+h6shKV364122R/ul6jZanVfuMBq50oxGL1xzJKySZ9cG5Em6UQ8L1YjdpxKH5H8HnWi1qHiXeWo1rhKc35X2lE/fMtMV7qLSuhkLcLXUdCiqP0WFnMnu7CRvs23mxD5UtUotgcaN7eNS4eLQojP/JKUbsJqH5lpMWSKrzKifbNZrUqKhbtSYrFCLGupzzWW/JVhg7irxKVE3c+60bNhjxlAbjxcUvhJn1w1MI7JKUiaNvCOlQwJqZw4o117aE8V/K6eq2MFZVHz9Vh27dHsY4c7EHjDzNbfA7ua0D9pnal8BY+up+vReOLppI3TfNjZ6XFMTOfBfe44baodj7hSlYk0Qqs8duNaHnGmh/3N8Kn8KL6J8Y3LeqInTkvwHEoQ7XIBJPM1bJvJ1t8Wk0lf4i8UzkkqfgRzvU08uR7uRnuh0szyi4S5qtYeo41zvYHG+B9lEp0S6ktc3fkHEteY2pfiloNp5//wv9Ya1zkpHgjuOBYkyfFYctzoIEKva2rctV9/yvt6D2baY0JoeX++LoQlVu1TqRZO+W5rEHVtLLNogXi7v+UKLuqufh/i8z2I5EggszNSZpf8WKBnlZgQynseaZmMe+2cvS+0IQCCZGwKBvoq0DlFtPCUiw+JegoX+Wg64UuBHidtEb+6uM44XRrasSHaq5b5hxlUa6Rcp9qSRmXRSDT91ToWDuqUYPA7nI4bnPB01OHxns9bHX0OTdIZf3G16pic0QYTpWdhE7oy/mAAN1yddIIJCFw+PBh49ixY0l5+mZsBD7++GODQYDGLqhLaAQ0AhoBjcCcQuBS+CMj9HCFEXJvSvv3XysfMrZs2WJs3brV+O53v2vs27fPoBW9QU+EOYWD7swEEAgHjeA5q/xwwGgoguHY1ZuZwHC/4QIMbN5j9J8KGmFvE8/VcRndp8KGEew3avjMvTdghH17mL/HCBtBYw9pOnd1G2GKWf/eGuZXGYFgNz9hdAbMpjo3m+2Gjwo9t9EvPIUHjCqWaTpK2la7jp0HyW/AaGV57CSfZw4qOk09JHTObN/VETB6dzkNbNhjBIQtX7sq036KNM/1Gg44jX4R+eGwcXCnw8D2TvJpZKzT/4JL1d/j6TeCrNO6gW0L7XNBo3M7r0nv4PGgMeBp4LXLpE16ZgooTJp8vDtl8qH4Ji517FvrcWk5nvp3O4l/fzxDrpL4DKh67hd6iWfY6G2rYptuY0CwfYF9Zvu9Z4j60VZek74vbPTvZh9lTDNgldjYgKeO9WqMAYstNR5FrQqfxHK9e1uN1raUv71p5Cbca8oLx1x4TJcGjlJehoOUp2QsKAAm1puItfSvQ/pKfFksfIRYF4l8Mal+mWMa6HCrfjcc4ZNzImOp4xFW8qhkKpGZcwNGA/Gq2Ttg5pJv54i6CRUs+U7ISbrsfdphOHanjqM5d/aIPE80ZcIxE5+CJ2XSCAYopymNcS7RXtNw7RYZChrtj4k8m2OcyPdByrbZhwGDik1i2aDw7ma+84XkvsXne3Jb4VMHOd84zy05T5anAOe3w+gmf5lkN2m+jmuczfHdQ7mXFPDsMZpetRaZKGs+mRvWGnOmW/F38Ezm+Z9pjYuSU5/DA2qey5xzbq4xWjsOGv2y+KhEnpjf5OV8zbAu9T5NfDd3msUDneTPafRybU67dnLeqzWIfTjIuWOkyq7VqvogX7KGCl9ujnfGdFzatMptbzLaX+1Va6eUDyu8YDR4Boww13iRhbojlC3KkYPj18tuJq2RYZEv4T8TpuYYuTrMuRbYK3PWmssJDCbKIhtO+z0V7OF6lbA+mXJYx9XVStb3RtKcU/iS73MmjvG1IFl2oiT05/xAQL+O5wqgUzICX/3qV3HzzTcnZ+q7MRHo7e3F+++/P2Y5XUAjoBHQCGgE5hYCw2/8EmAguHTpIs9ifpPnRYp1mkTRlnMi5bzIpUuXqvMj09XRefMAAVsOcmj94tsnZ77lo3pdK7oepvpglBSBE70/csO+Igf+I7SQKipG0Oeh9Z0f4gLb8lp/vHYkgI4+wJEThGd/F/zKAqsRvZH1oAISteJSR0ut2uep6niADsq3uDHgdSNAa8OWH7agkZRMWx2xB3KiZXsp+c2D69Emuv/24tihNrbfCvfXaZG01I66YADNt9vg+3EXHOuz0X+gC72nInR9Brp9gxALJi/pFIiFEF1L8/PoFp1fwDYiGetINAoqCOG+w64si8IBoOkHFchbmoMCO9U626tQuorXt3MLLjY5llWWCUIeyp52EBsfsaL11AaW7+jG4Nle1IL1VkZ7Z5ZO+38inyc8rOdCjWDFfMcD1bTuaYFHLDv5z9XWAMdyG3JuoWXTTmJ6QKzZTNdvf1qscpKaLMgnjkUFyI+yJe63fQEhnZyGwgjyLxz7o+WVZV2XWND/SjM6NtWhpoiWeIcsq8bEArwuuCWPfcmhPEUbjRcQrFu/51au2Pb7atGADtVXPy25HN8sNmVjeTGa0AXviUH0HuqFc5ODFlI+DL5Ny8XNlNMM1mDxVni1NB/5lN38gnwzW/oNP0IpfYrwjFEPz0D0HJLz9Oh6/TqvX/OmnHcZQW+bF+51BSat6P+UixE4xp7x/LottHZ7nH/PjLS4zIhjBj4heFImkZNHOY02kvjpRsNfiAzlwLWTcrm/lZZpyXyXuGhl+CMvBtlnoso55IH37CC6n6Iq767xuf3bOL/yZb5F5TxRno550FhUDYfwl0F2k+brOMeZdnwYtFzh8+5wY+tdlOnEtFzuW1BBa+eOoza00zW5dHnm+T/mGie0FxWgjt+xAbpju2/Phef5O1GYn42yFy2rS8oWFmVuw/EArWafb1YW1MoKkGuKg5aHadfOs6Qla9DRJpRy7oyQXeFHEq1KG9fdhMZNtABk+wGOr++VWlQ+n8ZKmRbKxnAQ/UcOojQ3gJa7i5HPcy/b+kIkJLbEe1B1B9fJHDu2cj1r7+G6zSSjq1LKGmllZlhTQ9j4dBU6XKace3a0oOrVjeZcNivy/2RZZMNpv6cCx3tjNcwLGX2/stZU96lzjpjU5m9EXY+Hcsc5ThwTU6LsJObr67mPwHi+JuY+CrqHSQjIeVaSJLr2jTfeqCJ9JhXQN2kREJe71atXp32mMzUCGgGNgEZg7iIwfPhQxs69Q0XkH7IWYCHdsW02G+S7Qg7al2tRUOo0TxHg5qz53nxs21+Fg74gStdQgTGeJAq36K932Y9SmSBKOMeOdnRSuScbQpWsMtnyyUizWFqC9rZO2KmAyH+kCV4HlUgrGeRiQysVAlQiHGjETXfXom437+/YSAe8+mQFTrRdpYQhTbofyn44psaiPNsivGOeyRaVg5Ec1Ha0UtHEvpGFhNJyE0+Z6pyMF4ldCR+SSM+RLy1lTvYNW9H1YCta8n1o39UA/6ZqtDzHzfD2iZ93GImIYsAOhac0eUHugdwc9pn9Ll5rumVKnipquV3KfUas1EPzPwVPX0JGhssCjk1+FINomeiYRO955ltLeQtopYayU0HklrajlnZVsbGKlRvtwom8vPhz4W+kq2kOSne7ULG7BQWvOdGwrxTVN/AM1E0tqHtYnFPHl0wkRy8boNK9eV8AuadbWNCBNurCg0P5qLvdgaSZkw7D6HxJ20QuHFRUK8UpFaPJaTpwTKAo85AylBvlx5IhNS4JfNtuoW1oH2X1x0Dp3gaUyfVzTVRMNsCTMCYJlDNeKgV9tD2rlJcu4e4dXaY8jCq7UYmZnnHG8lKEzwyg+xBfoDznRtnLXrQeN9eRtGvGSTJsPkhZ4+LdHaQ7eFPIhboHHXDdwr8Hq9DAQEC567sRSTyvlXTStrHCSYU6g6mIknsL+fGVcH0119B0a2equjqd7Mp5nNV9dQh6a5AzRDdrns0qTvNN3to449aVh27fg/c1ofw2umrzr/xbdeh5MgslB/wI32MWEqmRkbDlsAeyxo4nZehv3gqep8nXKF19+Wjo40um29MIVIIsimI13fdUzjq+3OmL996mFKfrzZdNwl+KzEXo1l0v+et5fARfS6m0lkGHjoZRfot5q/+fnwhoy8j5Oe7j6vV5Wnl4vdaCMa4a87PQhx9+qDquFZHzc/x1rzUCGoH5jcCl0Ae4cOztjCC8kbVYPZMo2hLcTKwiJYBN9MVfxor6wZxGwP/yVioia9AfrEMJLdNCoZBpDSZRcEdYfI2EInc5d5uBHJTcQ8XFfaWI7C9Di6WHNEvT+pAXOatL4LzPhdLVIZSV83w/7mVtRWVUNm5DMZWPDVagjyA3i9jejZrN5Vi/Emq7ONq2d+W6Mlp1tcMbktYYzIDRYN2vhWCjsjNAKx7nPS647ipAl6uC6lEqKleIRVcH/LKzjiZa9cg2O1OdaLHJftrWlMLdV4/6/XaUrLKj1MVzGHd0wH3/6BaoI9ojn7Y1xJHb6U5lsSQRk7to41WFEtnL50RQ+3A7UWAaYoRZWrBV3x63zitIi9VgcjNKwSgnrpnJxJ7YJJXi2XpPO5Ev5xJusf7uof0bFUvRelI80tdKTmuwkYE7cm4X5QMDqmQIoJFEPuEmO78L1T8x9wCht4kbrUJLSC+fffH+uDfWnn1DBbzP1qJjHZUpK0pQSlRqX6al6rqcBGpjX0aULMTLUbedlAruqUL77gbs2bWH+dXY84MG3lelWF/aUEir1BZaCo870UKxlPND5NVJC9zENB4cU/lMrD/iWimNq9H6upIU+PY30xq2AgUkksS3zY6KzcT8qS6UrrdTWUpUGYAnfxetk0cQHS2D5meW4jouT4NofwIov0MElymD7KbO1/GOs7xkk6Si0B8z+6kyJI9KwuyHelByH61Df+pBHfMCQ5nn/9hrHFcPrjf1D1WgK3o+KRW+PrGELoq/HBh9jeH5n6/WoLq0BNVFTXCuEf4zr53RviR+jpBdOeuRq55fur/UgXLOWUmBM8l4qMwwLUXXxs8OxdAg+qkXdchLjkmnzJjKebRV270833UjvDtpBTqimWRZzPQ9pRSjsXWFZ8TuqOT3h1i6p0+2NVsRPkeL7nPdCNPsuqmIh1J4AlRExmtEZSc9BZ07VxFI0VvP1W7qfk0GgVtvvRW//e1vJ1N13tSJBvyx2+34/Oc/P2/6rTuqEdAIaAQ0AiYCw7/8OU9yMtLCEWG2b8ESFaRmyZIlMRftq666Srtop0Vs/mQOMpgMt9EozFX2ImbHaaUY7rCjuLQYPPcLjjS/0qNbt7z7GtB6KBe5WdvMupv2ILCJCrATvOVGT9wXGxhxNdeRS7WjmXi+o6W8yUPFCy5u4qn0KMpRDwvuqqbRVgmyqEhDkQtVmx2oXLsNJWGefCYKQ5OE+X8RN9urXDi4qx3FuZZ176YmBO6ha+odvejOZdAcCVDD5NrVjfJVclVM5YPpLi5RYG3L7fAyuE7LhjB4plraOr7XaM2U0LBs8WNJlB6JGjg+SChqFiMG5dupnIrQyo85ORua6GLupRXqiJKqfGJbJoFkPls8TcgnnpXWw1ZvULkxB5Xat5ljYT5xbO9EE9vw02Ba0cyAVbQN+bTliPKkDBXPl9KN3g7fIQZx2Vmb0icbXD/oVQfMJdZNve76XjVcL/SrPovyoeEFNwrXVsARbs8YgTeVBqjkwY/j41jT0W/Kzpr1tIjyKMWrUmfllSilUniT2H7ZULqLipdDFcoCN5Vm0vjFHlLxcwdQua4CpWFa7p7oppQwOm/6IaKFHKkUhdXQpytiv6sO3p9SCUcLxMQkZWNWrYkPRrkeDceCMfjMRFZeELSsi85Jut36zCA3qXyXbOIpsDxCoZhWyzZbKRXKQEUmF22ZjyOSjQh4UXx7C8I8fsEflSceN1BPF+1ac9qzlnA0UnZT5yvGGmcGR2ntc6B2pTkqgf1uFEdaYKyJK/5zuK7U7C9EdlaFyW1RHfo5T+wZ5j9WZVjjEvqac0cNunf7UbI6EQM3Dp4ycY3m8pzOtGuMkMqjwp6rIQp2lpnK3lHWzmQTnWTZjSn2ON/btzckrI0NOLjXiTvvzkdpwECpmjhmJ0p3BrDnbD4Kl9XGe7WZa/lfUH4pY0gZ28Q1Kir/iXlCRPJH62/JQ63AU5xjm2gFmiYlymLG76mucgzsrcFNtG5Uo1nUgEBbaRK1pDnH7zKbuGerlANZ7Wz5lhCmyI5VSH/MEwSy5GjMedJX3c1JIiBvfAKBAAoK4m95J0lqzlU7c+YMzp49C1FG6qQR0AhoBDQC8w+Bc3/zLVw6/Zu0HX+dLto/XWAqHj/zmc/glltuwW233YYbbrgBElVbp/mLwIEDB6al8+eHhnB+4RIszV6Snt7F8xgKn8eS7KVYsjB9kViuKktjnqUWrYt8MlYdetGcZ7klKe3Ly9olS9hmAluDr+3EQ/578eo3RVvKlEI/XR2z4Cf8fyKfgtEQ8eSZr1E83/27negr+mvcewMNI8/LWGTgNwNWsdLSjkqD2LnhIdzb8SqKRCl42dN5/O+aJqz6T49j1UWRr+Rx9NTcjXfv78C/v3UambMw/nnd3ThxzxRoX3yX2FXOOHaT4vP8Cez87gn8df3/Q0EZonY0LkOYCb7HIU+jye6I+TqKHH7Auf3v/H/GuS1KaR6hfNKD7x/5AnZsUm8ikmqqNesi58k1CYsDS2Sa/2OucapBc52TBSfjWjhKG0kMRm/Gu3ZashutFv08H+bcwej8xMrKOk46ap1OhiVaZFKf6TA9/+u9+NOHh9Dxarl65zCC8ERkkX3kcsixnPxakCg78jtJYlfoNH8QoJ5aJ43A6AiIu/bAwIA622rlypWjF55HT8Wl6tprr1V/86jbuqsaAY2ARkAjYCFw8bfvZlRESpFeK3CNuGSLi7Z8Z2gXbS0+goBYx05HGpvOVbjq6vG2NJGyFk32I11P0vH1xT99An/+jXtx7KFf4KvXjOQpXZ2RpT7pnJEYLTz/HhV2kr8kLRYxjjNgFXtuXbx/oAU/r/wJ/va6dMimlp6J+8U4f2QAC23sU/bI8b3nu7vwDef/wr/7xRZ8djqbf+9V7PzZNvzDU9eNjuOobdrxnf/85/jX/+MYfvHoDCk1Jsvn4my8d+S8mvtLRsz/meN7NHkaTXbHmq+xYbgYQP1T7+G//J91lBczN4Lr8fCf3cq+xkrFLjLN84nmxwjKhcytRM/spIfxm0xtxEskXsmcTryf2PVE2ppI2YlwkUr35IGnUPE3f48tP/wHXJducBTxCcii4D4RhlLLppGd1CL6fm4joC0j5/b4TlvvRPEmLmaf/vSnp43mlUzoF7/4hYqEKq7sOmkENAIaAY3A/EQg/D//O87/771pO/+hkYX6hddgAc+KlMjZq1atwte+9jX1KRsEHbwmLWw6c64jMMSzMXlO35SORJtlGEUY6TjCSOPT1acIf3ODEcNtn6DJSGhwkK70Em07PdiRs+QxZ5p5jFA26Cg7HTiGBkkpz3IDTd+FyedOms8IxO01b0VmvmaC79HkaUzZHc985TmNEv08ZzoGbvKjomuOA4HIIM+yHMo1I76PUX4mZHFEk1p2RkAy3zK0MnK+jfgU+/u73/0O586dw8033zxFSldudTnZ4J133pnXGFy5o6c51whoBDQC04OAcekSzv3VIzCCH6Ql+I/4FLoWfloFqpGgNWvXrlUu2tdff716uZe2ks7UCGgENAIaAY2ARkAjoBHQCMwDBHQ07XkwyNPZRbHmkKA2v/lN+vOxprOt2Ubr97//Pfx+v7Jmmc/K2Nk2LpofjYBGQCPwSSBw8Z3+jIpI4cfLwDVi/Sgu2uKaLS7a4qotUbV10ghoBDQCGgGNgEZAI6AR0AjMZwQyGN/PZ0h030dD4JprrsE3vvGNeXfwvhwAfOTIEeTnS9Q5nTQCGgGNgEZgviNwvoehcjOkgLEAgaxFWEBlpASqyaE742c/+1lkZ2drZWQGzHS2RkAjoBHQCGgENAIaAY3A/EFAKyPnz1hPW0+jEUDFOlL+vvKVr6iN1rQ1MMsIXaIrnpz3JRGzxb1OJ42ARkAjoBGY3wgYw+cx/MbhjCBI4BpJYgUpHgXipi0v8xYvXpyxjn6gEdAIaAQ0AhoBjYBGQCOgEZgvCGg37fky0jPQzxtvvFFZeoj78lxMEkW8p6cHPp9PdU8rIufiKOs+aQQ0AhqBiSMw3Pc6EAmnrXiJ5wp7E6JoixJSXLTlpZZ20U4Lmc7UCGgENAIaAY2ARkAjoBGYZwhoZeQ8G/Dp7u6Xv/xlfOELX8DHH38Mr9cLcWeeK0n6ItHDpY86aQQ0AhoBjYBGIIrA8OHMLtoDWYvx+wULsWDBAthsNnzmM59Rf3IteTppBDQCGgGNgEZAI6AR0AhoBOY7AvpX8XyXgGnqv7huy0H9b7311jRR/GTIfPDBB8oa8v3331ebx1tvvfWTYeQytup5shae0wkNhnxo+XY1yu4vQ+M+0ypUPWV+1ytt8Bz2xwtf8KP5mS5E4jn6SiOgEdAIzGkELp37PS683Zexj4ku2mINKS7aEsBGu2hnhEw/0AhoBDQCGgGNgEZAI6ARmGcIaGXkPBvwmexuUVERiouLVRP//M//jIGBgZlsblppy7mQkk6ePKmsISXQwFxPoUEfPC/V484d9fCHourEEBpzC1F5thi1T1Sg9d5CVO+j8pFKx0rmd5wIom39Tah8ZVDB43tuGwK3lcA218HS/dMIaAQ0AhYCw0e6gYsX0+IxbABHaRkpFpCifJTANaKMlHMjtYt2Wsh0pkZAI6AR0AhoBDQCGgGNwDxEQAewmYeDPpNdFjc0SbLxEmXksmXL1FlZM9nmVGiLe3l/fz/3lRdx2223QSwh58eGMYLu52vR3JNg5UggI8faUY0aBHaXI4/3np465K73oO5UNlqK9sD4lhu4ByjeF6SCMoCKH7vQ7c2ZyhDouhoBjYBG4IpCYDQX7X4qIj/OWoCF9BSQyNniop2bm6vctcV7QCeNgEZAI6AR0AhoBDQCGgGNgEYA0MpILQUzgsCKFSsgf5KigWBkU3bLLbcod+4ZaXQCRMUNW6wfRRkp6aabblKf80MRKV21wfmddjgv+FC2uFD1Xf6LhGjxWFSIqHrRliMqyUFE8tyo6cvHxsfptv1sIyp6AvDscNNqslNbRcbQ0xcaAY3AXEfg4r8M4uLA8YzdTHTRjr6MExftRYv0z62MoOkHGgGNgEZAI6AR0AhoBDQC8w4B7aY974b88nd4yZIlWL16NeRTLEMk+vaJEydw4cKFy86MtPmzn/0Mv/rVr/DRRx+pc7wcDoeyXrnszMyGBjkEUQdtYSdwvDeFq2ze+xGgnWTdcBB1PEey7lQYVSs8qI5UwQkPKh1ZyHJUoutYIqUUMvpWI6AR0AjMAQQ+3vvTjL34A7Lwz5aLtnzfSRRteeklgdB04JqMsOkHGgGNgEZAI6AR0AhoBP7/9u4ftqoqjgP4j2KbFmtSjdT2kfLHrSGKlRjKysjq6GZYjCOTMXFicMDFxLFusMng4CgkLiYSJdqE2AFjGkIJhJba2IYnrfd3k9emPEoc7IXX87lJ6X33Pd655/Nu+vK+73fOIVCggK/qC3zRn0eXW63WZrPtdjvu378fWZ146tSpOpzMCsWDBw9uPub/2Ml5IPMD4OzsbN1WVmXmB8P8nVWatkrgib8Ax947G3FjdZNmMHL/dByrHzcSU9Onq9trMTP1Tcz8MBOXXnk1zvy2GBfju3h18qtY3Di/WVW5+SR2CBAgsEcEHt+a27EnN6I/1qsv3F6q3ndyqpKcKzLnjOws8Lbjf3QHAQIECBAgQIAAgcIEVEYW9oK/CN3NQHB6ejpOnjxZn87Dhw/j5s2bdbViHrh9+3a9f+/evfr+HOadAeZO2+rqaty9ezdWVlbqh2TV49WrV2N+fr6+nfN1HT9+vA4i84AgsmZ56j+DI+PV8XNxZTarHNfi8mfnIj45tm0o9tKPX8SVDy/E1PBgLFWPGhwZrD9wb6+xfOrTO0iAAIGeFlivKvt32nKIdlb/55DsHKKdYWT+Lmf6j51kHCdAgAABAgQIECCwXeCJuqjtd7pFYDcFOnNoTUxMRP50VrTe2Nio53LMYdS5zc3NxcLCQhw6dCgmJyfj2rVrkUHl2NhYjI+P1wvlZCA5OjpaV1dmcJnVKPk7h4PnlvcvLWV0tre3nKezs4jQf+1pLjk01PlLMHY2bn37abz51lB8kE/wzsW4c/nM1lP9sxAXTv8RF9uT9bGPf7kUZyaG4v2Yiks/fa8qckvKHgECe1Bg/1grHv95q6tny9UQ7fm+ahXtKozMSsj8EqwzRFsY2cXlAAECBAgQIECAQOEC+6rgZ6NwA93vEYFc8To/1OW8j3nZ9vf398iZ9+BprizFUlUcOfJ6ZymbrT6sVQWog8Nbt+0RIECgFIH2rz/H319+3tXdmX0vx+99A3VVZE45cuLEibr6P78w817VxeUAAQIECBAgQIBA4QKGaRd+AfRS9zvVJVlR6cPdLr9ywyNPDSKzVUHkLtt7egIEXliB/rffjf6Pzkf7jVa0+/bHnf0D8XXfcB1E5hDtfG/K1bMzkBweHjZE+4V9JZ0YAQIECBAgQIDA8xToDM58nuegbQIECBAgQIBATwhkIPnXa6Nx/fr1eoG0Bw8eRF9VsZ9fmGUAmVOG5HyRQ0NDVtHuiVfUSRIgQIAAAQIECDQtIIxsWlx7BAgQIECAQM8K9FWrZWf1Y85jvLi4WPdjbW2tnq+31WrF0aNH6/kiBwYGeraPTpwAAQIECBAgQIDAbgoII3dT13MTIECAAAECe0ogw8isgDxy5Ejdr1ysJhdcO3DgQB1QHj58uA4r83E2AgQIECBAgAABAgS6BSxg023iCAECBAgQIEBgR4FcRO3Ro0exsrISy8vL0W63N+eLzKAyqyJzDkkbAQIECBAgQIAAAQLdAsLIbhNHCBAgQIAAAQLPFMhAcn19vf7J/QwfsxoyfwSRz6RzJwECBAgQIECAQOECwsjCLwDdJ0CAAAECBAgQIECAAAECBAgQINCUgAmNmpLWDgECBAgQIECAAAECBAgQIECAAIHCBYSRhV8Auk+AAAECBAgQIECAAAECBAgQIECgKQFhZFPS2iFAgAABAgQIECBAgAABAgQIECBQuIAwsvALQPcJECBAgAABAgQIECBAgAABAgQINCUgjGxKWjsECBAgQIAAAQIECBAgQIAAAQIEChcQRhZ+Aeg+AQIECBAgQIAAAQIECBAgQIAAgaYEhJFNSWuHAAECBAgQIECAAAECBAgQIECAQOECwsjCLwDdJ0CAAAECBAgQIECAAAECBAgQINCUgDCyKWntECBAgAABAgQIECBAgAABAgQIEChcQBhZ+AWg+wQIECBAgAABAgQIECBAgAABAgSaEhBGNiWtHQIECBAgQIAAAQIECBAgQIAAAQKFCwgjC78AdJ8AAQIECBAgQIAAAQIECBAgQIBAUwLCyKaktUOAAAECBAgQIECAAAECBAgQIECgcAFhZOEXgO4TIECAAAECBAgQIECAAAECBAgQaEpAGNmUtHYIECBAgAABAgQIECBAgAABAgQIFC4gjCz8AtB9AgQIECBAgAABAgQIECBAgAABAk0JCCObktYOAQIECBAgQIAAAQIECBAgQIAAgcIFhJGFXwC6T4AAAQIECBAgQIAAAQIECBAgQKApAWFkU9LaIUCAAAECBAgQIECAAAECBAgQIFC4wL+1CQb9hQqEEgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename='./images/2018-06-02_10-41-23.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:11.957604Z",
     "start_time": "2018-06-02T13:43:11.951793Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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/gmQwXLU3F+F9WiB7QzT+9oofVgeXYkK3xnYluCVPuoo+MxA7j/8DPUUbULuUlZxAMhlJY4YuQFDhcrS7qbuDOZV2ww5gr1/jm2oj8xwdHbkivPAsRtD1LPpWzvuj0C/qNFK//xR9yA4vZvTSV+1vfLuzHQ7s3ovGlsa0G8+xcimla14kWYA3NvXHhpEag7trMzJyVUWfLcPXR/fAo9wKKFdhFDyrXLtlSB7bFpE/xuL73ePhQR/Culm+rm2GYO/u/mhnYyCpcrBuIPbPe2SD4TOLcGBZONopYzcl327FcP9X8dj49jibNBhoVFWs7cl4m/dle1Xnc0yACdgh4MBLReuFcp1mTWcVwLNHD1h16tDlk8dKGXr2JY8VOyXWiVMaWVGSj0NngJ4Pm2aA1wkZteyrUJeqE3WrCSH0DvprTchwC5XRtm1blJSU4Pz587eQ1CwqE/jjERCTFoqLi9GqVSunZxqK+PVtzcCrQYR1+1FGM/waTU3AtUtE5J6WqJ73R1fc1dEHDZqSC3X9Rri3c6MaxA/oTonZK+Ri+FeTmc61hS8i34lEChnw9MK9UrTSLzlIXLAIsZvT4d0vFKPGjkNoXy/rsjqIm78zEeNHx0qzhLyDpyNm5ji0+zkFvSalSfn1eTERX28cB08qV3c0DbELliNlL5klRwRh3Kuj4NtWeYMmF8m0tbFYnkp18CCZx3rbdlckC42qiLo1kt1+3RtSiPw/FZSPDfP/jhlUP8FjXHwMIl/ylVw/Sw6kIPE7N/i1LkasJLc3IlcuxJShPaQ8T+xKQZreF9NH9JDkt1Y/X2HcKS9B6op3yEN9NHrRu75pK0P2+6nAjHRMeLKjFNx7TAJWrUnCxO15ZDTsbYp6i+w5WstE/bhy43vc4EJoRIu4/bkLhg4egZhPLuDq7y7IWh2JDK9w+Jdn4MmX5mJ5xn8x4i9F2LrkLYxdvplSeGP8wnmYNaYPXH/OwMuhSQhPeRd9/qRAupyDuUHx6LXuPfT6bzreye+J5Z1k8Kczt+KtVauweQ/1nc4D8eaMmQh/qh0l1GNPwlisLxuB92b3N/aZjISXkdExFjODWgH/y0HS8qV4I3GHJMPAyHDEvj4CrageZttd5HJ9lxxCM7tpa4XmjU311Z/KwNIVq7Fsk5hx2R9RCydgwqg+srvxqT14edRm9Arrgq9nLIAoqf9Iquvs8fC+nw5cipG+agu8F3ZR1kfVIWPdasydsUy6rvqPjMKEyVPR5yaMivbaUHtuR1Q/pPU5T7MBSS4hmrT+gou8pg0dS/WMo3p+TPUUrP9OrJ8g1qJ9wifThb0Y88b0lNKWZG3G5OgdGLHidXy9IBqCTPHcF7CncwTe1rSHFJmgyleyCxqIMmnNjcZ3UbmCOx3abmM6959leOPDMvj7lOGNv6+h2N4YMX0qZkYOlGc5/5qDdzYWYeaS9vCgvHX5GVi9aC7VQfQXaqvwCZg6kvqdJEjl/2j5WUud8Y8XKHgEvlgbYWY8b0aDOW+vOYK/pZbg1+uCsUhtYi3qHDN7LHYcpRo9G4V5VKc+XrKUUh3WqP3NGwPHjcDM6WSQJKN9SWYSpn3ZCjOfLsOCJ14G3voC744U14Oy1WRf1p1AUgIZo5Xra0TkREx5fXDF60uVjX+ZABOoeQJOeKlovVDa5adh4GDyySBPkHFWZsfrCw9hyPMbyGNld6Vnd9+0l0ol6WllddveB0NoEFrytLnRBwKVX9V10LK/GQ+gSqK5ZaI74q130F9vmYrWkKDiq6q1/WXVGqoqF8MEbmkCTZo0oQG8LMlo6GxFRPwuXbpI73XOpqmOeDfoPFYdoljLsxGaBQSjZQj9C/Bxcq1Da/nYD3vgcaWMgX3hbsOV2n4ON37WtaEwwOUgavpypB3IQckvYt4d4Bk4HUUp4+QXaF0Wwjr5k8HQDcveSULonyj+830Qu7NAimv2x0Hc/G1R6EOGN4/Jy7Bl4zJ4bF+EIb3fwsXGHghSMgrq3Ex66dd9twHt+4cjpWEQksiI2O5biuvbHmmnhIx6pE5vj/B5KfAOHIVRPQoQ/vx4CJNfpTdSfqPa9yGDIbBs4xYkJ/gicdYQtJ+eJs1k0v2cjsR54zFkdCpG0fk1kz2wfNJAjN5MBgSKkb9tEZa/e0KKa6t+JcL4er0YiYuXY/xXxeYilp/C1k+BkI4tNOFuaCJssgdzbRtCNbHr2q4YybD7T7J2uNDSAubxThwTbPRwueMazmRvxoKwJyWDYZf+E9C6yXkk/vlhMhgewfzEtVgxozXWzBiEAau/wR10E9Qf3YE1e08ayz3/DR0fdUHrlg3w67kMbE7JxzWS6/z+t/Dwc2OxGY9j7bq1mPrQDrwR9jfE7Dwjpf01awf2HP3VmM8dJMu5NAorvUZhF5HY/kkyaLhgxcYPsHbR49ixPBIPz0jTxDevk8RBra/K5Xwm/txzEBkMXbCY6rJ4SgMso7o8FCvnc+33X8nws4OMgAvQfvl7+GDdfJRsmosn20fi5DWR/zVkfLwG+ZJMdyAz/iEMIoNh19i1+FfKWjTYtAyDer6MoxetyKLKQL/2Nrvtd4dkrcLafV9iMU0yfHl0Ii6q+Yq60j8pfWkmBoh6/tgcK4j1LMF6yN+QePgi7ri3K57t05zacABSjhPba0fx2tOR2NN9GJ7yuEL9vyu6kIAuDdvjkdZudvnK0ihlkhyO2vgaGQX3fEyGw7/ny+0Y2xWbF72MTtNSpT5y7UoJNm9KQ4mB+J1Px0O9qQ4fd8XaFGrzYGqrKYPw8vqjdmW6cbYXkZ9JqccFo0P9iu3XYXgcfvlwIpqLcxrWFw/I/bqg+3zq1yvQmuo3qPcAZJZSvItH8aqoQ2F7uQ6i3ya+gZht8vXyK80u37FoOP5GBsMd3v54vNV9tutWnX359/NY+NDf6PoqoGv8A3yQ+Aw2Lx+Lh19KMfUvtZ9Z/NrjzeeYABOoWgJaL5WiPclITinC6ewtkkeH8FLRieI0XiiuHUJxJPsIRnewbllzlbwPPJSBoMrJKnup7JHLrFzSG4qtldVrxHF8ffB4pQ2dlgVXeR007C3L4mPybJE8m2z3GUf91T5DPbJ2ZkIn9H7aSk7lI/9UifSOIPTbrF1Zyr58nv8yASbABGqKQPv27XHlyhXk5eVJRaqTGGz9ingivkhX25v9t9balu4PUL7noBgkTQtCzuZFCB/sjy6daDZUc39ELUhBvqT1AZlJA8kYNw5fnyWDYWAQRiXsxhaaIJRIRjQlipGU3bi0RlnKuBQgeA3emRkK34BQvPP5Mkq7HN/dHYSYROFAHITp00LIWFmCDU/NoMk2SShaF4mggBAaoT4CscJX+LZDQOEejCcj37jEDCyLCkVoVBIyVor0ld9KaKYgSYXkI8kIDfClGY0xNNORStocTgZKkZ88s3HN5zuk8yEz38GaEUB69AbkC6WAZurAg+Y22alf5hmKQy6VW3KP4PhLGldOChbz7NrQ39SfLkhH8h83+AQHUj0baMJunV1x87H/T7ivbsec1+OxbD79S4jHa33vw3MLdwMvjUQHN3UWFbDui5+w76M4dDyxEXMo1Yff78PE4UMxctpGfLt+Io7ErEL+XV0xcTyN9kfuxq9S2VeRsXEp5TUGXe9R82oAl+vnsC4knqbtLcFPlOfQIUMx+92fsO45YPWLSSgQs7ek9VEt5KcJis3EjK6rBdhPMnSZGYGRwQEYOjYOx9+fj4l/beygvnLbqUwy3qYC4Y9dJz/EGKrLmLkbsW/5SLqoXsKOU3LZIsXsT45j9kvPIGDIROz6Yh2FbKbZkQXG0R43UVcyiD73Fl1Wy/dh5eSh6DtgKDYe/5ji7kb+uat25RJl2NpUWW39inQuDdpjzLskV84cTP4wXylLOiPtZ6x5DkcwFcf3r8RIYh39bik2vgTMWbwHV0n2XpNXYT5dDpMfexGvjXyCJB6JrxYPpVmnfRFNMw1pXicmzYrDxJf6QqqrzX5lKtOpNpasjF3wMfGX2nHySnz1D+K/8RXsLhT85euuAZWX8fbzlHkw9p1diaEDqM2p3308heh+mS/VwR4fIZW1zVYaKfxqCTJoPCK4a2u7bSfnIXInealfJz1L/Xr8h9j3fxOpX4/ExnNfga4OrE4jOc/lE1uqw7vU50Udxs7BCuk2JPc1FxdxPQIT13+F0v3UJ5+k3m6XNZWqnK/Kvnwucx3oqsWK/bvoGg9AwPBoHE+dCuzZjZKrqqzWf6UK8B8mwARqhIA9LxV4KF4qWkl+PYGUf6Qg5xclUEfeK9Fh8A/1R1jMBmTmiUFoee64FEN4rNB58dVG/9AopOzL1+Zm3C85sEHxUkmH8FIpUAw1+bs2IIzSivTNQ2ORedJSWzVmAX1hlrEsof/GLks1/3CeHVl1x9Kx4f10iIFh4ZUSTnqhNEisZJ+5JgrLd4m60UYuw6kLwmWZSK6oNemSYclWHeRE4q8emWtikUiGqNQFxGRMqmx0Iu+VNAr3F4z6h2HRZpOhypRW2bMV95csLBpDg/PfaPnokBoTjuU7ZeYl36QiltpJYkkD+YnbTEavrCTy9tmZhaxtyyU5BD81nVRyOXkEEQMpLckZviAV+ZdN0uWQ51FYf2qj/ubvHaYYyl5JFmLHxCJ1Fy2pNEaWRfArIG8p9dh/TCLy5XkPUiLhqRQlyU19LHq5sQ9U5G2Fr9X+qjCgOi76KNNo+Cv5LhWLRJ9R+l7JvkWYccydvEaI45jm6DIrBVtXT0Gr5uRhddkV7iWJmLGzpEIVOYAJMAEmUN0EhO7+5JNPIiMjA+Kr52ITYdpNPRbnRTwRXw3Txqvp/Xo1XSCXZ0nAHUFkcCuaoKOHbwFycrKQvm0GUlaQkrYinwyF01EiGaMTkbLWk8xnZXCjgeI9K0Q+h1BAD2iTE5veftxf/XCCUk1/1c/o1idG84pOk7GP8szPUpSW6xTpOn2dVRSxmVyDO5LCReW4oURafxE0w/HcI+KB64eQQDEdT968aMah9yRh/qvcVlwopFqIHiYPbXj+Ra5VmfSJcSHXdPgZR8hd4fdCDMmWiTIhq7rpdXbrJ6K53ycXcrFUTSR+y3CK/gY21yjMFJaXsZM+FR6mjXj77f/3BL5TddWHgjE7PAIRYY9Td1A0v/7rENxRNtpeoDUPxbZu1otkbgQuuDdG2XubpLCvftRj2PAlwBpyay2ZCH/34/jwX8D8vb2k88Y/1y9IbTR1/DOatTrdERxFaf+1CzptexoTaXZcu2AMGSeHLXgWTRYAI8fPh/+gAMx/2nQVaGLb2KXrRHTuKRPR835TlC5DItAlchMuiD4n3Rn9EdzL1CldO/qDpMSu/ylslKT6/8nK51D/LqbMPB6HWOi2urcr9BVjeA3BrtiVCHj1Eex/uhQdjOsdUj1FxyYzUHQkyai7gMbUlJveE2Gf4Lh+CLq4emDilo/xUftnIby05+9fIn3gQ8QA5S2W3pXKMN4xpDP2/zjRxm4iZ+9JeETDv91A4g/ir1P5i2KUtiJDdhcxOKBsj88tRbXRvRMQJrwiW+sOE5eSX8rgof3MONX5OyHbmnWYfFnUgfJwP021oW3HETKeD0Fp0eM48sV2rMr6GvsXrCIjojCFqtsF2vHH0IGV6ccibdX2Zfkan4jHNR8I8nhyNvVlVU7+ZQJMoC4Q0HqpRA7yQ8+O7eBxn6vspRIoS6h9Uunpobfo7UVY9sI49LivgLw7/Gmw1hvTE8YB+4Qnh0gTJCeUPFbEYHWQ5N2i37tc8m7Jf+drxASKlatNm+v9speKWNxG9VKRPD5ogNpv8hpsecod6W+EkZdKItZknkZIW1I2tRsZ0xb5DEQilbWGPElcSzLJ8DceiTp3FMX60XNIeKLYlrUkJw2JK8oQMjUEbuSVItbljoxXP+ZH98dUWr7m5XHSgHd6TC8a7BZ12oJmlzMRNikMKcVbcPyFinXQiij2S7ITETsvkfa8ETrXg56IOmx4ugtm0FIU0xOS4KlPx/joIVienyzLbZaBnbhzvKHfTsY1qv/gdSHyk/Yk5fV2GqYH0KB+YTq6BJHSExyD5K0xKN63AVHjBqKk4RHEBLijID0Ri/YKufwQs3IN/HaNx6LRfeApsabBcPIIEgP8kSuT4a0/JLFN08tsc5LIaDyLWnnaMiS10WH5OPJEkt47YqTlibRV0P9SgMTtVA4pfyL+wjbpmDGP+M2jWLTM0bJ4P0TNiqU1oz1RlBAEyVNJTDygc0kbPZG1mPqY7yIkHTwNXyt9xpKvUNKM/dVd7a9+kjcSshIRNWkI9O6CgQd0dLx8cQ6CJtCEB+RjxvMnsOw0cT1GSzFtN30ksSeaY8OBcVg2nN4fWs5APk3E8OK3YG0z8z4TYALVTEAY/zw8PDBgwACkp6eT3ScHPXv2RIsWLSC+gv7bb7+hsLAQhw4dkvZFPBGfjYbV3DC3QvZZm5fjRBuaqfeYBzw7eEv/goaOwridi8iNWIzMTTGO/ZaIN1F62RZ/feMXwpcej83oBdfaZjUuPfTTKXJQQ61xjAIsdDgpP8qX7AvSphMv8fTlHh2FxNBag273eePCz8uVs5ofMtoJW0xlt4I8kqrfYGM9K6ant/d+nmbn3dybVYxWUon6maVugo50nG1WAlVZvMdbfBXcLFkdPnB8cxGVC0bcPzehvS2liUaju/i3l2aYaavavvsjpHop25sr8Qxx6/VnWseuYQDNrHodmw4V4JFWGdKstbguYgagiGs+itK8Ca0tqB1ZcWssxTHGEjt0Xj7Wo5gMWi5kYRFpAhZcwPGRZHjZvQsfzZ2DF9fMIT2eZhx+NhHNbNVFiCBtYpYU7dC/Ls2bWMjgJtXLJBZdJ/WU+FJaNzSm2WHivPRPZCPykq7BLmhunFEpRaaXHeXXoUxKPIsfMz4W59RDWRaaMThhHSbGPIJnYzbjk96CJW1CNmkLQNdO1I7iDZIupSX/F0ADD63QWswmFUG6EpoPJ28nck/DpUt7+UDUk/bUMpQotn+UyOJHbLbbWIpIESgSZa7GF650SpCU3lgBEeHP8kxS5YTMVvC1uJUZzzvYscv2rlZ4/DlgTNJ+/Ppye+N9UM3y+NYX8cirRdhftJ9unUbp5dN0vbR/SL06HsHK/xsJt2ZkTM7fgSa9RkpxJs5cgjHb1sFt0BjoKbksCzWO9zNor7SJWpb9X6VvUh5V1pelApujiVibUlt4OXUcAfsG+7I2K95nAkzg5glIXiqndAhfTF4qmxcpGZJBazLpjxNC4aUqcGpRxsEkMoDtlb071mTukI14tF61Z3Qrybgkops8VhTjEXm4eN3XXFoiJrIo0uye6N5B9lJJG6eTvVRAxiXh0TKZlpqZ6SuV7vvvr+Hakgx2/9iDEDIomW9Co/VGUnYSglqIM75I/nY5wvKLpaFLnQNZZf1VXV9XpNfu0yGN+0lDf2R8TNtMJU0bRR47Qi5fHPFohkXf6OFmWQdb97l+MThCS/V40HndgeWSwTDpYBGC2ohyg+D7oAe6vBiGzNeKIK8SLMJF3A1244Yk+NFMy604cTkE3jQ4lrNvK6UKRdAj7tD/JPhE4sg6Kldk9lg75K9Iw4kSEU6NLA2mBWH38SR4izangfyc7f7I+VGHkDsPSW0aujID04eKAX4/ZJCW3ic6DQUTXCWD4TiNITjo0XZo7hOG1K8iEfmYRQdSmIi8lom8yn2RQ3KkkOfSacXY6Vm8HEOOig+haTyVlPYOIi8i1+ZdJE+loiiLPlNPKCe0afjqT6bKYfS3IF3pr5+/gxAxeSCA6O5thaiPDpHRkPrmiC04MojaWbzL0MzHtM5kgKZ917ajcTxXecW5rLR/BNWrnjt6dE7DoZN6eBknIxiL4x0mwASYQLUSEHq/mP39/PPPS7MNDxw4gIsXL+L333+Xlia699570bFjR3Tq1Al16Wvoth6N1QqLM1cJ6HHi3UU0wkizDS2+kuylzLSTYpLxBp1pZI9cisUzUWzCDSPlVDNJeVEet/IJe3FbUzkUK42+oBfaQZkheCoVzXuPJ4WtyDRjUTFECpXEL+Hv9IER02xCychJipbn/X50Ngr5Z/TwVkaO9T8rLiCyJE7/bfcISTUpk9xaQoyjfjpdsZTeXfrELb2s7iWFSk8KlQLgxC55xNdNkVWK/GA7u/WTFVIrYtVrjE5DgfhtX6BsTEfxakwK0Sns/Yj0r7U+8rGVZHU5yK5RhARXz7sId+C7rNVENho0b2Ay7jW5pzVF7IJnIyahl6So0uH/vkbCqtNoIgxm9Vrj+Xld0OfNTejWPYG6x3Z0IOOD2IThSRiBXOi4Ce29vuVrvNI9QARK26GPV9Jva/pwSQM0/jPtnhAf15DTQncEH4qzwsB0vQDrojaia8wcDHvtEfo3B6c/nY8uw/ej5PokNLdaF019RR7k+trgT8CRNz5CQURXtFLugrovd2AXlTNMGArpPzGknkO+Nh06ST2CNP9DWElWccnYpogm1UmS8wh2HSzBIwMUY7bua7h7+iN6RwHmiM8138CmtpG1pKZzoj4kzF0dMO1z+njPE5PwzHuU4rm+Uj0llt4BmPTqGGM/1h3aiHU/EGeRrvw44nuNofhxWP/X/Yig2Yp9Hy7G0HZUZ6leQIN65FZurK9VaSRaKgvHbUyZuVD+uzNopvQwMpTJeeqydlvwFyJQ/URfW7ALJW88Qi7q8vb1W+7wj5+DE7poY5hyyqkfEz9r0Rug64AXgbFkAM98FpP6qKWKuMXYsZp6CRmpW9PXX4okLiQj9dvWdLZLn+cx6TXTjNOv30vA6QeaoODLTXR2Er7+X5xipC9DsfcYbBdGQlFHKR/BmfYppr1NlV1OV9V9WVyds2m28CQEqF350Ep49p+N7fQS+vj99iTjc0yACdQcAUdeKjE2740FRxMlnTLIOOvPFUEjF5L3xh4Sn0w+eaIWtr1bVD1MraueXGCl7Tr9pX3hkxATRCNs6lavGdoF08HPwqBkMU5dzwsxZPDKJOPg8rx85JBsafThPQTLDwb7sqoFOPFL5QSNBVIWD0HzxX4YR8sC+ZExdFmUZIqjjw5q6mDtzYh0a7/A/vI641RciaLvpryfiBIapyujNSF16cslQfKpnj2V55oIcBR3lJ+Y5hmGtG918H5MjzSa/ec9d4esD7cNwfGDOUjfvAEn8nOQ83aKPPgvlaT86ReEdqqaQXKIooVRUf8nUScyJAd4GWN7jUjG6eF0qBjlEsmbyLOQfJj0lOqCaH/yYTpGuvxjmvaTQuU/vj7KTFNqU99+9EQMMH1tu5kX6fKi7dQJBDY8lfRRFMWStwVfTZHQ/SL1KDNvo9B/F0nrd0rxXN2NXwTX68UAl7LVI1fk+8joSLMzez0/A35zt2ChYiRs188Ph8rViLf37+zZsxEXF3dLVpJlr51mY+7Vz13o8MIg6O3tLRkHhcHQYDBI7wFiTfo777xTeT9w9FZQ/bKqJdyh7vBvbRBwRU8aEcbRGWhP67Dk0EK9JYXkorwvFWFPkDsCPRJ7tm0E3wnTKU4UxidlouSyDvn0AOwyOAqLCjQPR0l8V/tx63kiZIRYC3A8Ur8pgK6Qpv8LX09aL7FnUxqzbCiUASr/O1pHhRSsUdNE3D7YQGvZ6Gg2UmZSFAZGL5LWrHFt01N6YI9/dREyhdzHMjG+P2kCN7B5+pCiQY4y4+enooA+BFNyjFwzgmJp1HEZ+rcRGQptKJ1GRVPoPM1mJIOh/zyy3kw2GRlFLDion3BzWUSW/dhtVD+zzQ39xswCPo3AxJU7kXcsGynTwpBEccKelAQwi30rHMgGBdUgYe1XroXdeFIUU9rmAcNoVuER+D89G/tp/aOSvP2Ie84f85edloyBIq+uz1CnyUnA/PeApGGPGG94klFEGETIuDVpxTO0gCGtibhiOynBJ7B77SQExx9B1/mvS0bG1l3p/O4PsenzIziRdwgJA4OVmXBCFj32kyHGn4xckgynjmB/xm61MpryTHLLdZSj6IUM9C9g3CoKWIkuEatwKO8Ejvx7HTwHzierTwKeai8bb0SKiN5k2PmW6krlJITLcozp10HKQ5wXeTVo/xTiyU6UMHwitmSdkOKues2fzgbg2Yftr7Uo8rC1yXJb1sN0LNJp4zTu/gq2TFByuyzH6zuS6pkTjYCZW3Di5xKcyNiC4P6TMP9EmZR2/4JeRKErtr81GcPeWEpmLapzzwR5bUkyKIvtQ5qNuj9HXsdRW575voipyOZEG8tr+G1ErxGrcITuHwXfbkfEwNmUxxz01fAXBt6nJsVTeAImzqM6lNCsyH+vIoMh0V0SgOZKe5rLIsshJLK1WYuvDeswdJLEYja5C8e9t1tiV0D9PWFIO8ynW0/88pckoysVLxqB+nVrvEj9+sjcPpj9HhmwSc79H8TBf/J8HC+j85IgK7E/8wi9QJ7AlnlkyKV8dtEMnBJhuFfzsVMfk3xyraqjL3cIfJF6A2hNxjgcyqd2ydmNiWQwRJdVeOQBmatJDvNjWSr+ywSYQE0QEAO4KQdKyALnbvRQWUYfQ8l4J5KKTyQvFbPhZI1IehRIRkFNEO3qLgkDk8bSRUfCY0VH/4qLdZJ3S0x8qE3vFmNuisdHM0uPFmMEix1yv23evheGkGtsAel6fmTUWkbGPZARSRgwnZXVIlerh36xxGdrEqaPdaOP4kVhyBPkIRC6QfLesZrAicAS0kkFI11xMdx8Y7BwLi218ydldNsivc24LXpgWWdaXXxXDnSnDknLAI0b0ENKXbJrEdr39ifX5z3kjuuFwRuTSGOXnAYscq94WFwgdF1a1si8WeEqjKKqYZSeVTqdqEMxdG6+JH8MQnsohsGKWaLM0tBm1s2UdxIazFdtmMJTSepDF2RPpYUTTEZGK9lbCaI+8G06vQ/IH2g0RtDWwRhYcSdzQXMyGGZiC30sJ3k8zXZUorg3s4BSMSmHMAEmwASqlYDQp4WB8K677kL9+vXhShOlxK84FuHifF3a1MdGXZLpDyWL16CF2HHZg4xxM+C/eYap7v3GYUv8dHmk8bFI7E7QwZ/WS0kj25a0jViGI9N8TfEVZc/DQdygeFqTRkduIkG9lLR+WLMnUh497eFHY5K0Bgitn+J1ejd8Jx/BGl0Yxj9PXzZWYofSR1im9xUjsx5YmJmEHN9w+voyjVrTFjSWDKA0CurmoFe5kmsAqahSGvHHlUZSMzYW0CLa49HrbSW4cyQy6MMs8gNeHi0N+jkKvTophsnghfhaqr9e6MzKRqPl9upHyg6p2MYvqqmpxG9z/9lIW5yHoMn0pWjlRFxqLkLb3p6KhVvDVlTL00pNnfxx64r1WVsQ0WMIgh9dKSfqMgnb8yaZZjT8pS8SyF4WXTwHj6sz9KSYxLGZnKT9y+uxXT8fwa+PwCdz5LAX529B/GvCXAG0H/A6JnXpg4nP7pKOA6bGkwFnFnT3Ux71WmF15mbyLBpBMiyRzgvj3Kodq9HVblPRVADa1L7p1ulF5HxchhHPRqP/Nvmi6jooHuvXvCIpu6o5PuBl+hZQX3XEPQBJ+1ajr6gH9SVTce6YlJaBMlpHKNxPllnIJOJ2bShKrb6tucXbQEBMBl5c3QcbFbd6Uc9DH+jQ8/lw9Fwty9F1wirkvNEXZbkbEbyU5r8lb0bf+8W5VpjzZRJWPhqOqZufwZaXu2LS/GcQPIc+ArN7FUoyX9TU2UqdNK78jtqYpjRIGbx4z4fo0025qXV5nV7oXpe6icxfJuzecxK9CJfRcg3h2EXyii1gahJWh8v9RQ6p4r/12iO+8BBazZiF6MlDpLUs5RKoXdNXY2hP9aZDMmr69Raa+ThkcjAZYuVtEhnGX3+cXnYejsfr63ch+tk+iBanBs1BwtRmiF46ER9OHUa9xZSPktTOTzX2Zfde2EH39XC6r/fvoVxf/tQuax20vR1p+RQTYAJVTcBJLxWrxbrCu28QTaSnj1iUkxuzoq8VHztEsZWnmjDY2fFusZqtCBSeH6rHR04xuT6rxieaWS3W1+3majTaiOhiy88kV2bathwvgq9yW03dJgXRHydkVaNqf4UcYtOfoBmM9BtI/+hDeRvm0yqOr00n19sgRMZS2dtoDb5xe2jG+yi15spyIyKxo03opbTG3qLp8FZ1XlqPcfn6EjRrRKd+0aZ3EJe0jv5RZAocHYvYn2k0qXMM/NqI9PSBkI+W0+90HDe6hZObLYW4qdYvEc3G1qyd0F0SceiUyQ23YBvp0ePckfm5rNcsW7WMPI/UDEqQQh9hdG+hPt/U8Mr/SjVOsO6pZJab2lZmgdoDV8jeSORSrfFGEh84Ge9O60eSa7d2kwyiagB5Ug1ZobhuN6RZrpfpfUF4L5E7dM77RPERNSL/MgEmwARql0BdMxBao6E+6qyd47AaIeCKHiOmo2j4OJScoyE7eoC6khXM3d1cI/CmLwoXDYqkmYb00GtI5xuazgujW1FRiFFae3Hh6olx64owmkYW6ZMq5uV4+GL32SI5H6lneCAkdjeCXqORyHKa5u/uTrIZiyFjHz2Mz56mjwLoTDLHLjNFsLHnOWgZ1cX8pFdAJH2QZRTlJRi4mn9kQCzERkbUpJQQclMoITWKXBFowW95I0NhQhEUqQmenfrR7MllRXLMs2fPmgtALAJf3wrDFE3wLXx1OLr5tH5mAa2foKlrhd0GGJZ6EcMswsWsumRKWEZrXIrNzc3NIkZjjKV0Yy1CO7yQjIsvqIEN8MSrVH7EAmpZkQ+502hZN+6GBQcuYoE6oi3O/X2ymhiNuz4rySDW2RR9uIIIxpimnQ4vrNaUL4e37jcWmRfHKnUxz0ce3HkGC95Kxta3qBzqlm7amRM0m05wMG4k8zSq9zQhs1j/zRmhjImt79hrwwbth1H7WbYO5dOgG1aTXIp9UMq4Q+BkXCydTHUgue7U1POvL1EeL5kV3uCv5vk+EUntFmkWxcoB9ZWNln3Ffhu70FWMADL8bRyG1Vba0bJ+3YZOw8VB06SyxUyHm8Vrj62xgvd0wNiVWzF2Ca3nSvddsbnfb/4yZdmvn4qkfjZxqdRfINzE1H5Nec2lPj1X6h+UkXLZvPQ69WDRr7pqrw+pKJt/qrsvN+46DFupb5VdFv1FsLa8xm2KxieYABOoEQKKl8o44aVCE/MnBKGZGxnmTtCXeJ8X3iPCS4V0pJ+sC+P5KBkNMV7y7ljzGhldclKl9e3EunzCUCd5t5A3y/gkTywc7k0fmkhFH3LvFOsUWnscyF4qmZKXitfDnggKptzHhSPVk9Yp7OCGzLenIPYosGx5/woCudOHM8SWfzQf3vTRtSz6EOD47RTQuRjFdNu1L6uU1PjHs6Mv7c9A4j8zMT2wGfa8IT6gQrVS1MWct2kdwp+bIePNUHjeSW7UeZl01hfu4j4nedqodfAy5mlrx8tvFJ0aAv9xGyi/ELjT16YX+Q6h8qYjVH5UGZM6E9ejbwiZIMklnOoe+k6QMlOP9O4/iWzILflkCa13WIzUuf6S0dDvjFjzUTXKGosy23FtTa7JFBI18S20ozURPX9NR7hYb3JsMtrSGurTxbknouijKWT4bERfGl5MEwQ2kwE3wlorm2Vt/4B0beGpNER4Kj2YgZBu7sjZsghDyFso8gMhkerZpPK2Xw+vHqb+mkT9VbdPfOCEfKQ2yobPAloDvtdoPTJOx8CrdU8EHU1BsdATyJOFFmSCf/vmUpniz8LPT2NUhzIUHPW2OSPUGJl3mAATYAJMwEhAfaUxBvBOLRGg2XceLRyUTcZCj4YO4qinHcR1FQZANa7210qPcKUvDnto42j3ac0Q8VWfKtnEuiS2GJSUCTOD8evHjsqzWT9HCa3U31GSunjeKaPITQjeoEGDm0itJL2LbFz0n82NztvdSAY7qe0m1Z60VhcXFzKY0ExMvXAddaNyHMmiZiji0fp2VbFVaRsK1lUkV6XqJsq10krkZU6+uXRNk3XWzdl2VNrA6bawI2il2JJ8jSvT34mzTRml/mESrME9VdNX1Byrsi9XtWyqjPzLBJjAzRNwxktF3GbVEQpXMoxJR6TjSN4d75B3x+jx6PO2HB46wg8pm2lQhOI58liRU5j+elh4qYQsp/VqL/fReLTQpzzeyUBo54pap0ffUER2TsSMwYpHS79ILJsbiqh5seiV5Iui8eSJYkdWkxRUrw4hWDOClrohr5wUMaU7eByZQRPlKLR8zfQPYpBCxs8+22cYky38IFn+UrBFHSzXbZQSaMW/jz6k8p81CHuKGBrzC8WOXNlzR8seDuJKeTf0xuixtBDP2370YUSTEc13JH3g5G3y6PEV8wtpbuPkhYihOsbS2ozvBJyAp/k4lhRHChLvCmS8W3hwC3S9h2BgbzFjkbZ+07E7igzFtEUe2QFdl4GUtzzbU4Qt+89x+FpR6bX9R8QzblomYjRMSWvfU4mimfHeIWenycusvDYh+PqDYnIzNnkj+U1OQmQ/uTC9XvIhkvOgOkdOy6SvJJfQR1JoQkaRMI2ab/rv3sEiMRGD1jvkjQkwASbABJwj4EKLLhqci8qxbpZAMa15wlvlCRTsJOVxm7fxC22Vz6FiCjHT8OGHH6544hYK+eabb9CyZcsKEh88eBD+/v4VwjmgEgT++x9MWKnDgkXDlBH/SqStRNTdu3ejd+/eFVLc7m1YvHMF3tb1xdwXulaoe1UF/FHZVuBXy325gjwccFMEmjVT/OFvKhdOXFcJVFpPpA9K2PNSsVtPWiNb8l5x94CFc4ucTD1v4d1iNU8xi1psmoFXHa2Xp79OxrxGlL+DAW8RV6w1Y/Sy0ZPZjbxOjPmpsljIKrvb6rD7NBnXFKOTnrxfymhWvTEvWTL5L+VbQp42ILncm3rI6/up563UQT1l87ec8tN629iMSCcqE1ebD6XTURloaOKop3pIrrbaeLb2RXoxc5yMetaYSO0kPhrSiCYTaNrPVnaVCdeTd5A1TyUpj8rypjrrhJcLTbKw259o/fKop9MwXSy9VEFYPVJCx8MzMcnoDl8hym0WwB+1qJ0GZe7MvXYI0KpJ1aQnVvHjobbwcLm3MwHPQBoRFGvS8OY0gUrNpHI61z9QxJZPY82btVvf27kNmwe9hphaxHs7s62AtQ705QoycQATYAJVQ8AZLxVbJTnwSIGj89p8rbxNuFfCC6VCXO1aOKIcK7Lo6KN5Gz4Ss+TGSS7Gqjiu99nwpBERKF+b3jFW6qDmafO3Mt42lYmrLVAY9CxYOm0wFPmI9FatwnIhlnlri77ZffueSpXMndrO3bJfWMtCLEVEBkPrmytCU9SVy63H4FAmwASYABOoSIC/nlyRCYcwASbABJgAE2ACTIAJMAEmUEcJlOSkIHEvEPPBKNnFuI7KyWIxASbABJgAE7jVCdzIuNqtXmeWnwnc9gT+UDOpbtPW5DasvoZlttXHlnNmAkyACdQEAa+hSSgaWhMlcRlMgAkwASbABP7YBNho+Mduf679bUqAjSK3fsNyG1ZfGzLb6mPLOTMBJsAE6hQBXT7S9+bA3dsPPdpa+XJIVQpruRZjVebNeTEBJsAEmAATqCUC/CGUGgRf6QWua1C2P1pR4kMot8Nm60Mot0Pd/ih1sPUhlD9K/auznsy2OulWzNsa74qxOORmCFTXAtc3IxOnrToCrCdWHUs1J/3JVLTyHU+H3thxfDd6VJfdUJ8D/1b+CP38NEZ10HwKWBWEf5kAE2ACTIAJVDOB6tITeaZhNTccZ183CVgzttVNSSsvFb+4V55ZXUvBbVh9LcJsq48t58wEmAATqGsEXNuGoOi0F8LJoJe4Kx9JQ72qVkRdCXKOHkLau8uRQzmzubBq8XJuTIAJMAEmUPsE2GhY+23AEjABJsAEmAATYAJMgAkwASZQHQRcvREZ7w3/SVtRMmg6PKrw7Sd/+xT4R6dXh9ScJxNgAkyACTCBOkGAv55cJ5qBhWACTIAJMAEmwASYABNgAkyg6gnokJUu5gEuR9r3uirN3mtEMoqKinB6z7IqzZczYwKVIZCy8u+ICHsGwS9E4bMjp6wmPbhzE14NHY5nnovA26n7rMapjUBnZN/9wTK88HRv9H76GUxZsA66srLaELVCmc7IriZKWTIOAaPmq4e1/uuM7D8c+hRRo4LxNHF/bf46/CrWba0DmzOy70leivBnn8bTz4Zj2bs764DUJhFOHNiIsW+sNQXcAntsNLwFGolFZAJMgAkwASbABJgAE2ACTOAGCJxMx4y9croZmzJtZqA/mYLmzZvb+OePHHvvy25uNvPlE0ygOglkvv8GouL/gRaPPou+932BFwIW4eRl8856/mQaBo1+HaVejyK4txtixj+PTV9aNy5Wp6yWeTsje96BdzHytcVo+czriIkIxDcr5mDs8m2WWdX4sTOyq0Id/fwdRC3dhiPn74F5y6gxavbXGdl1v2RjdvAonHzwObwx5Xlkr56Dye99WbOCWinNGdl/+PIfGDF1CbyeewWvDGyFxdNH4x+fH7OSW80GFZ49geR3V2Pdgmn4OLO0TvQFZwlU4QR9Z4vkeEyACTABJsAEmAATYAJMgAkwgeonkPkhfQilcwy2ROkxZHQ4MmcWwfe+iuW6tuiPLR9sqXhCvC2Vu8HzzoqnOIQJ1DaBAyvew9A3P8T8lx5HefkgXNzaCVsyJmL6095G0T5/fw0weAk+iB0phTX6ZQte25WNkY+2Mcap+R09nJE969N/AE9Mx5LxIZKI9c/sRmh6kWRwqb01RJ2TXQis+99JLB0+E517dcZRQ81Trliic7IfSn4Ln/WcjlMzQvHbb79h8XoDcq5cr5hdjYY4J/vZY0eBtjMwfVQIDIZBOPveGuT88DP1ow41Kq1lYbrjB/HhP3eg6Fs607O+5ek6fcxGwzrdPCwcE2ACTIAJMAEmwASYABNgAjdE4HIOElcAQSuD4D8mha4AAEAASURBVBughx8WIXFnDnxHmAwqxnwbesD3MQ/jYYUdfmuqgIQDap/AFZow+GCThpIg9eo1ROOHgDMlF80Eu/brN2j74Dhj2N0ePSnSJeNxbexcvfornJE9aMI/4Vt+ryRi6bkTyEw9gIeeHFqrHx1yVvbr169j/RRffPpCHLYPvIjgsKu1gdqsTGdlv3L1N+DQOwh5chGyfwLaDHwNm94MNsurpg+clf0vvQbgz9PDEfDSCTx8zxlsONkdKX7dalrcCuV18HsJH9O//ywdgpdSK5yu0wHsnlynm4eFYwJMgAkwASbABJgAE2ACTOBGCJTsS4X4TMkoP0+gnhfGjQXSo1NRYiUz/TFyT25J7slW/zlwT7aSHwcxgZog8D0Vcmc9k0XbhWbRFvyiNRrqUUSemU0MpmluLi4uwH+1cWpCUvMyfr9aDMeyA/e1aA3PPzXGnvcWo6P341jzl2j8841B5pnV8JGzsv9n7WtYsmsEvo0PRf0rtW8wFJiclV1G2hKhC3di/55tGPK//4Pvgo9rmLR5cc7K/t/8XPyXknbu6IWWLcmKjsPI+q7APLNaPLp6Szkmy6BMd5haBMdFMwEmwASYABNgAkyACTABJsAEqo6ADltHJwLBa9BTcUfuOZQ+WPJ2FGYk+WFNuK/ZbCXXNop7srW3o3J3dk+uuobhnKqQQE+yiZSVlxtzvFYKdPvL/cZjUC9v59sLW6+a5gq5XPsFbb1baeLU/K7bPV5wLDutDFBWiGXDfbDsy4FI2PAvjBjwaM0La1Gic7Lr8W2svNzBoL9sBk0IlbZWfc7gdMYqs3uPRfbVeuic7CTC1SLgxQkY+WR3SZ7u/k8DyYW16hburOw5/1qKv7z6f1g2/XlJ9qaG45j88TeY9mztzzas1satxsxNd49qLISzZgJMgAkwASbABJgAE2ACTIAJ1BiBU+mIpcJiXvUzvqC7dh6MNTTbMG1WIk5YfpHAldyT+/qSi7KVf3294W7NmKhUxlVZ79CtxirHBTEBmcCffYCVmzMlY86xPRuw9CTg0641rv52Dnv+tQfnfruKRve3xsnV25B74RoulXyHLW+dRO+HtIbF2qDpCmdk37/+NTIYhuLfWYsw9HEf6HQ66C7XhrzaMp2R3QWjvvwSX+z/AslffIH/+/twyuAF7N40y3g/0uZYc/vOyH4V97XxBTbuR86533D9+m/47st/o+1Tf70lZG/6oBd+zDmDX8rKce3aZZT8dBhoeXfNIb4NS7Lz+LsNa8tVYgJMgAkwASbABJgAE2ACTOD2J9AmBEVFIRb1dEVIbBH9swi+2UOrZd1sppyeCTgm8Ezsv5Hz16fRqvlCKfLoJVsQ1OEBnPlhD0a8OgKbDxzCEy8vxPyjT6FfhwelOA+NXIR3Qmt/xp4zsh/Pv0Ay78fTPVJMMNoNw+n9K2rVgOWM7P0fam2U+ecmTYAuQLvWLYxhtbXjjOxPDJmDOYeGwN/7L7KYXUORtoQMibW8OSP746+8hfDhA9GpdYIsbcun8H7KE7Usual4vZj121BnCrgF9lwMtN0Cct4WIhYXF98W9eBKMAEmwASYABNgAjVPoFmzZjVfKJdYYwRYT6wx1FwQE7itCFy9ehVZX2XhgT+3Qbu/yEYpEVZSUgIPDw/Ur18fv//+O3Kzs1GOu+HdrR3uvFOZHlvLJBzJ/ssvv9BXoU3u10JcUR9Rr9reHMku5FQ3MUNSr9fXCbmFTM7Ifu3aNZz47nv8ckWP7t07o2FD+YM7ap1q69cZ2cvKyqT+/tu16+jWvRvuueee2hK3QrmiLwj5qkOnq448RQXYaFihGasvgJXB6mPLOTMBJsAEmAATuN0JVJcyeLtzu1Xqx3rirdJSLCcTYAJMgAkwgbpHoLr0RF7TsO61NUvEBJgAE2ACTIAJMAEmwASYABNgAkyACTABJsAEapUAGw1rFT8XzgSYABNgAkyACTABJsAEmAATYAJMgAkwASbABOoeATYa1r02YYmYABNgAkyACTABJsAEmAATYAJMgAkwASbABJhArRJgo2Gt4ufCmQATYAJMgAkwASbABJgAE2ACTIAJMAEmwASYQN0jwEbDutcmLBETYAJMgAkwASbABJgAE2ACTIAJMAEmwASYABOoVQJsNKxV/Fw4E2ACTIAJMAEmwASYABNgAkyACTABJsAEmAATqHsE2GhY99qEJWICTIAJMAEmwASYABNgAkyACTABJsAEmAATYAK1SsDFQFutSsCFMwEmwASYABNgAkyACTABJsAEmAATYAJMgAkwASZQpwjwTMM61RwsDBNgAkyACTABJsAEmAATYAJMgAkwASbABJgAE6h9Amw0rP02YAmYABNgAkyACTABJsAEmAATYAJMgAkwASbABJhAnSLARsM61RwsDBNgAkyACTABJsAEmAATYAJMgAkwASbABJgAE6h9Amw0rP02YAmYABNgAkyACTABJsAEmAATYAJMgAkwASbABJhAnSLARsM61RwsDBNgAkyACTABJsAEmAATYAJMgAkwASbABJgAE6h9Amw0rP02YAmYABNgAkyACTABJsAEmAATYAJMgAkwASbABJhAnSLARsM61RwsDBNgAkyACTABJsAEmAATYAJMgAkwASbABJgAE6h9Amw0rP02YAmYABNgAkyACTABJsAEmAATYAJMgAkwASbABJhAnSLARsM61RwsDBNgAkyACTABJsAEmAATYAJMgAkwASbABJgAE6h9Amw0rP02YAmYABNgAkyACTABJsAEmAATYAJMgAkwASbABJhAnSLARsM61RwsDBNgAkyACTABJsAEmAATYAJMgAkwASbABJgAE6h9Amw0rP02YAmYABNgAkyACTABJsAEmAATYAJMgAkwASbABJhAnSLARsM61RwsDBNgAkyACTABJsAEmAATYAJMgAkwASbABJgAE6h9Amw0rP02YAmYABNgAkyACTABJsAEmAATYAJMgAkwASbABJhAnSLARsM61RwsDBNgAkyACTABJsAEmAATYAJMgAkwASbABJgAE6h9Amw0rP02YAmYABNgAkyACTABJsAEmAATYAJMgAkwASbABJhAnSLARsM61RwsDBNgAkzgBgmUlYH+540JMAEbBMou8QViAw0HMwEmwASYwC1KQDzbyspvUeFrWew/Mjup7rehWsS6XvVcVGw0rB6unOstSqDsWApcXFwQ8X6e8zUoL8OF8xeq5oFNVh+RV1Vvee9HUL0ikHeDDweVi2Bj/q87olfuxAWtslKehwiKN3iTkwyrkl9Vg7OSX2pUd5mBTzyKrJxHmVx/qR85y8BaPpUJozIHN2iAsG2nHKeqbPs4zrEKY5Qh5RXqY8NSoHbVMroeLqgHFGp5vmLhFGeYKQ+176YcNWZSMUmdCHGmbtUj6M3eH6pCKjMZqqOPlp/CxHsbYHBl7u1VUTHOgwkwAasE8jYJvcRSp7A8jkaeVr+wmtONB5Yd24ulM2dj9vx4LF2ShL1HrTzVy4qwc1MSVq9civj5q3HwpP1nyalt0Uq9umOvleygPsdE3V8xPetuvBamlObPS1O4ce9kqk3m3QMHI37dXnN9zpjQxk513KttFFXpYAf6dF3of5Wuk2WCS3mIpn7UgJ5tDd7Ktjx7w8c1x6Zq9B6nrmMrNIR+KNil/mR5sgx71y1FSlbFC/jCsYPYuX0n9u7ea/wnjrPP2r8vFB3di9V0n5lN95v4lSnILqoY/8LZUzh18hQuXLKUB7jwbQpWV5n+QtzpXUbqNw1WG/Vts1Jv4N3MqG8fq1g3s7yr84B1vWqjW6/acuaMmcAtTKDUyg3bVnXKjiWjiXcEVmVfwYRubraiORWet2kwOr1SiMNXDsPn5rIyL+9SoXRcFbfxkKEhUl5N6DGT9NFOLJ0cRP9mIfdKHDoKmUnBF6UVOllYVfKTBKvWPzSae1ZRzL6djb3HpiK0g3lDXfh2J5IUGUqdZHCzImevi0YqwpE7tI3jrCrZPo4zrOIYwmauXn/CGNq0EwpXHMbhST5yQWfpp/CK40LVPMrluE6kcJxndcdwtm5VLUd5aVXnWPn8tDJURx+t1wZxn0xFi2fCcHDAYfRuXHkROQUTYAJVR8DtnuZAt0AEthB5FmLnp/Kz1WdAIKQgKbQJzJ+wVVf+hazVaNJzonmG04BAet6kqc+bC9kY3KQ7PV8129yJWJ9divBu1m8iZZfUwbtsrN6dh34jO2oS0y7lmbBOCRL3/KrarD0vLfIuI0OAvPkgRKsvkMypn6Yim/7NzkuDYVmgRUrbh+LpURe9HBzp07Xd/2wTdf5M0WdJWErRfYbOQtwAJ/Q/J7OuUTY3qfc4dR1brfcFJL0QBgxNRkhbiwgnd8LvlWgErg1EaA+6Txm3MuyM+hvCPjUGmHYWH4bhdUVPNYVKe8II2+lF9c1APjl7MrDqUCkm9BD3kQs0IN4EYep9gUKS6R4Tqt5jyosQ50Oy7pLf5eQcbuLv2Z0IE0bmbiFYP6+f1XvszbybXanGgR6HtWZdzyGiG45g4I0JMAEjgSt5yQa6mAwha3ONYQ538uU0yXkOYzqM8GNKOJUfYsi95jBq5SPcRJ42uVzMNSQMgMQMU9JNMlWmrCrkZxKguvauGJLHKPUV/WTx4QoFpU3xkXnQ+fCNlehHFXJyMqD0CwOpKYbAtRVlsZlDZdrHZibVcYL4DiW+A5INV0T213INZKI2hFSSo1keUj7VIevtk2fuxhD5viNBr516VZChOvqo0p8wQ3Ovqp3qcqlMgAmYEVDu/dWl/5iVRQfXfjSE07NF6HvrDxZKZwuztxrIVCbdCw8r98L0GfLzPHBxuvRMKs2W9T0g3KaelrtR6HGKnjBglaHUouzCT2aZzg9VnnUWcW7o0InnpVGXs/ZMLUyXnrdCB1Xr71AOpczAyujMDjOtmgiV06druP9VTRUNch1hSD5TRRlazaYOs3HyOrZWrdJDq+TrP9uk+BQeSjckL54l6dTW3wWvGNaLd54pyYbDebmG3OzDhsPZufTvsOFHywtdLVTVO+i6Ss+nSNeuGHI/iZPvAYquq94Tpm5MN/yYl26Y2k3cP2YZChU96McUoaNVvJeoRVT6V3nvCkmR731W09/Au5l6f1mfY2JqNe/qDlSZs65XpaTZPZnuCrwxAZsEzu5F9DCaUfZtNlLmR6C75ErTHbM3ySPiF7JSEDE5QUqeMDeCXDsOGrM69RmdC+yOoMAgBA2LRspnecZzoFGjpKgIJH2WjYObZkvuIgsWx2LiYjESRSO946OR9GWRHL/sFFJmDja6lHQX8hwT07HkLft9cpkhl5K8rFRE+MiuPd2HxeOgZqp80ZcpiJ6bgiLj6I+Yej9bqk93kSYwAilfnlKzdP73no6YmppLc9xoe2sp9p6nX6pbylyS/zNFfpqRKGQMUmRz8QmSRt9FEpv8KI+dK2cb0wi3maXvHzRNoafzqwW/3cTv/XiKJ7sMB83U1pEKoNHzpCiZnWi7oFeIi5lrEXHYJKcX7TT4FaqDhq2QscJmQo/UaVs1TCkmjfQnidG7ASEQ443amYZiBuLsV4KMbkuDo5aayeJMO1aQhQLyPkpANpU2dRCVKNjPjEAEcdCISbFoFJP6b8T8neRGb9k+dPp8NpIondy/iZPor/b6g8J/9fZs4if3I9GuS7fnoex8HrXNYCWvIHLvMEmyd0k0ubPvNauGGCkf/MpqnDL2TeU0yTQ7VMygpCti2WxEK217cB25d2iuM7WNg6iPBIl+/NlBiJkPxq3oIOKnxWOvMqNj78pozCaX+my6PgdL/aY7IpaQi/0l6nMkn3Q9UF9Rr3FjPtSXBNvuVE/RV6LnpyDPVDUUfbaauCch+9u9iKd2llmK+qvXAeVEbm4pS0ycuwdGm/W3CnWjHn+Q+qfaLi4+g6nPa+4jDu5PRtkr277GhOqO7WvYGOPkXsym+52Li/wvgvicUmd7UiRH/V/NR/q16KNOsaWEZSeprQV7aldxLR88SvftJfFI/VZpqHodMXsFmaEXLkW2RjazsvmACTCBWiVguTab0F8Gq/oD3V9ma11o6d62NIru79/mIZXurbK7s9DRNPqCtdqUXcBhCveh2UHhj8oziZrTrJu4FfIMO2l2Iz3PVy8Uul4ckl+XZ+M07haKw2uFt4VwZVZn7VkrQAn7dCK+MJtNKOscNJ8Rgd0ojvY+5EDXEzkWCZ1Tus8KXU8sD0PuxOKEjeelOGV1syZ6834IGyPHluqvJCyje3v8MLqvCl1WuDBvcuTCbFuvukBtGfEKPac1eoEoRrheRpDekaq4NTp6Xjh6JmTTc9OqPq3Uyd6PZf+zW396Vlnq8ilUB0m+KFkfmD1M0U/pmZRHa63kbV9tprNql/ex2b5WBC76MgkTQ+XZa1vnCZ1N0TUc9COhcwkdMZvcZWcHVs5F3pKN3WuzXOidsyU9PXvbUqMeM1jocpr+V0Hvcai3a2A4cx1ropt2acYgzRgGEhBk9BArw9aefggjfVF+wzPFNu6R6+tOmmUY4tMbPh06omM3H/h060j/fNCmsTGW2U7ZyWxJjw1ZG4d+bSlSPTd0DJ4KMj4Cnx6WdN/SIiqx23rEjeyHNh36IW7TejqZjUKhF9N9aGJoKtbnhMNGEWbliYOys6QLKf1O3BMHk25q1FdJJ46eTLMWaTu1jVyl6V5pudl8N3PQtyzzEcdCh41+hd7htqvvmLbvD1J6p/RaBzop63rWmuLmw6rUBMmZMYFbnIA6SqLONLySo44qy6PG4WPCjSNQ4ak/Ggp3JdDojzKi3M3HEDIjTSJASqUSHmiYNWOWMnotZjAqs8GuyDOojGkpj5mTnzXmRQ8gQ9wnPxoMFG+qkn/glDjDqsVTjXFoWjuVRSOA6kw/iuczJs6QMEMtG4Y0ZfRRnsUTqIweUxp1ttyAqYa4eaZR8fWaETdtU1py0Z4T+4cXB0pySemVuqkjz7kqCyorYXGckYU9fls18iXQqJ88+q+ZTUdlqLMEBMNAahdSwGU2Y7bK4mniCHZxU2QZSVlXOJQa1otZbYLvgHBqJy0HW0OG6ohruGH9CrktkjUjaqUH5f6w6pM0qd1UBob8rcZ2mzovQSMLjehfFOI6145yxbR/Sw0Jot7qzDzKR2WXnK+Jp4wYSjOsLNpHzLjQ9rGEeVONfdxWfxD9UswAVPtvyBhTnzOGDVV5w7BV6odKHQesl2ZsqNJV6JvqTMMz6qwHUY6PwWdAnOFHGqGV+ns3JQ+SQ5WdDLWGcM21QC4nUjnqNSyPfKrtJ8vuM5T6jaYeUl8aGmKs/1S6xqWt9LCxvj5jZhlmjVHrRu2ndBWz2SXUx8KNcaj+UlsoI9Siv1J/TNBcd+p5s7pp2hJ07axakWCUldznJLHUuqnMLe9PUiQn2rfCLD+51sa/9q5hEUm9Pwg5wufFGaaq7aC2k8P+bzCYyWDRRx2zNZchZMpUIyupTdX7rhBWmU0+a5edEXYRjzcmwARqkIB6byZPC80kldwUVecJNMStWGW6tygz+K7krDc+h8RzIo7uk8Znk71ZJlcKDWkbkw3p2Zpn/bVCwypJJ5Bn2qn3tQqz+B14pKj3q4SNCdKzxGymvOIZELIizZA8RfPs1jzLrOt6dI/LVusaYohbnGBiIXQeq8/Lis2n1slMJjUaPSviJD3KNNOw9JBaJt3bSZc1PmPpOS6RqzDT0IFepeoiqp6mlK3qLenituzU88KkrwmdzvJ5mz7PpJMY9Wm1nlZ/rfc/h/W30IXE8yY5j2aSaWebdrPQTYTOQfqKUWedIr832G1fKzL/mGqasSrqOCuVPFuc6EdmsglZHM52tc7G0bVpqSeGk+47a6jqiROnzKKjvIW+oOoKJL+q21vX2y1AOHEdW6SQD0vTpWvTqKOrka5cMdD/hkJFl1ffBdXTBuX6DV+bZkhPTTasX7vekLzrsKHUnmfExcOyPjIgwfCjcm+7krdV1jMV3V3Vf6T+T4V9sUL033CDuBxyVxAzaiNnN/UaF31x6rxVhgTNu88XdNFeoetLeCeJ86LfBE7ZaqaTi3Ksvts60bfUstWZhunzFF156HqlvR3cH6hsZ/RaRzqpxIp1PQlDVf5BVWbGeTGBW52AesNTHxTqMbrFmRRZRaHxWfyFXF3lxmR0Tz6XLiuxxpskRRPKmPQirShjpGjJD0Yfw6q9imGCov2ougkqD6DD0oMDhlkpJjfXK/lpyguxeOiqD3MyRJD7jLoZlQlFGVEfSEIZL82Wp+SD5FPVZWM9bSjZ6nmVi1qO+qsqIdKDwkyJVBQCxBnLEi6nkqFnqGLcs+R3RXnAmimVimFLNTgpZQhlMS1feQpT2CzxIOwmT+E/vEJ+WBkNtSSsquTM2ltqKN0ruweEr1Xakc4b2arlqBU0/qq8pxoO56dL7WDsBxQnTbwEYKoh95xcR1UhyV0ryyIbh+TMflRehiyNWfba0SiGuqOwUo1IIlh1udCGqSyEMqu6/KqyqS9dwohr3BTFXo1jDFd3jPzJ3UIxTKvlotssQ65kCBWKh8zYrI5GA6ecmbZvUgs4cE82P68qDuEao5DaxqohVe27ZjJQP0nYqxiNSAmUDYc+hq2Cj9jITUt2+ZavO9VFTXVjE1F+VNxLVEbqNRBIAwdKLgb1Okw4KDQ1xdCqvcaUvh+eItib1019gfCZoVHoKA/5pY4GBEh8tW727k/OtK95G4jaaTeSS7p32bqGSQlUjITrpYEMkdZkvE4/R9edw/5vYTRU+pfTbOnuUkGGa6U0OCK/oJjdt+iaEUYF7fWhrS3vMwEmUBsElPufcE9Wb6Dqy7bmmSLuLWkz5OepMPwb74GkC6gv3OIZJ+kCdJ2rA6f2alR4cD0ZnUwDwlCWHVHztlxmRA03u69oClCfBck5uYZVkkEkwaj/FH6iDDbmk9FSDI4qz0PHup64j8qGMHFPlTf1Pqu4Siv3TasGQTWF8szB0FmGZDKaCqPHevG7Is5obA3fqC51UmiIEzoVGS++0JSZphgCKup7pH841KtKDaskwyQN3ip6gkFtZ8V45dzzQjYa2nzeUn0t9WkFgY0fK/2PTDbO1N+aLq/2AZM+R/VWnpOScU9IQUZqKX/VcOSofa1Ibnx2O/3OIJ61isF16CrDj2obWMnbFGSFjdpmdq5NVdcUximjviV0A2UJn6mfCB1Mydt4HdjX200yVdyzdR1XjEmlKgZ4efKFlRjKdWJ5javXvqiT+T/ShRWV0kpuNLHCMr58LOullEIzMK3mK+koF7+QypEH3q3lbBmm6kI+Bu2EBlVfNS7NYvneZZmNOLaI48w9SuWTnFdo+EKZTIIxycb7n+P7A7WNeo+y+d5NfcauTqpUhnU9a616U2HsnkxXJ29MwBGBhMQJ8kc+RMTWHSV33OzPciV3WXWW/RVlgelTu1Ok7MKDu8Pt0gUUFRWR62MT9H5SuL2k4rDiHiu5UI6ZjQlPmhYvVvMSHxOhCebIo0WpSWFD2FDTQtpubQMxYYo4f1ieui52ydUlblI/aU/8aTMoGqSYAeRqa8xTOVt4SHYPXT83zDjV3a1DCHL3piF9WCclVlX/zEb4zNXYm5VHX8LtiIRrBhg+FC4+opbypvKDmw+2XixF4YJ+/8/e/QC3VeX5gv/KdhLZcRIJDEhgSJwO3XGa9EQeMm+SGaYKZ+FV7IUt7IYp7G3edNtkajoZXkHcmQU8mVpwumtpG2oDnq5H4n7VUDa7w9rUwkZ521TMe9uvEmrSbaUqGZvpZBANaSQ6JhLEiW9ix9rfuVdXkmXZlmPZvpK+FxxJV/eee+7n6EpHP50/MpN0EENnhtD/jsxUpm9WHN3auPG81IqaDdGONDL47aZHZb10D/XLqNxDR73yQLobfV/CP9Gl8tEWHHv3COrvBrxvteprq7dW6MdR5aSVVaJG7zLgnWWm6TDs62QwZDmeT7oo611r9a7JkuSzNah02OE3Dyq3ld/vRSgQQnWZvB7ODcH36354P5jcTdfYPP1yVNtrkpY6S7s93pnIIQPLS1AW3qe80dmdg+iV+9jSjpqkSVtUGvZ7mjB6IYT2+51QM7cNSZfOvqNG3uKpqi2nLp6DraguN9bbS536nbofNqKy1FjnujP+2p66dxpr9OtAztN8kUzaRbonvK+uDxkA/MmEMn68RTqTzbJseQ1N97uMjUodxqD7O2XQa9OnzI0qMwmZHbJH76LWhCp5rYXldRIMhuGU7inqiva+44u+htUV7UHrvprYoNIVm43rqf+0DF5dFE3wJ6p7tOoaJK+3DQ2IyLVw+PGpTv6TqmSBlh/UxdKDXd579qvSlWkDhuMoM70/zad89QPF/pnmGtbUBAay0c5uNOoDeqsd7Kh7YRBH+o5hk7wW0n/9xw6WdGcWWzMPTx9Bk5mHIgca9rUkpSMPpWuQeqV6j0pX+qnPcg0FKGARAe2TAf3zrWlfU+wzRb231PxQwjSy+D7Ra1H6/ZqD0vUv+pYO6ZrWcrJdXx+Q7qBqZtWeN3vQ85b8qdvEIR7UVpekq/LJgXiXxB75/E/oNuzZbE7Loicpw4CMRu/McmOvQM3jUs85JcNQnFfbqm55atqK56Xe4kI4bO4/l7qefCb8sFWG4fDBPyw1nH+UulTkMCrV58uMn5fmsaK3bx9A4xONelfhZnX7VKvehVI9W1kZ/TxSQ06oFU9Kl8kioy4blM+dyj836preE4m1HLWhdPmctV7lQI3+GeaF94TRnTZ4olcv57a/MT470/u8mOUzQc+NypMsURfjwRz+TfP89VdhUl1eBqeRA0l97m/Merl87uj1ojo0PhStz8tnVIWqsyYt05Zv0naTHurnOLfXUfePd6NCz9OklNJ6kO61qdcKdx6W7znmxSl1g/2det1pKBi/fo2DzlZvn6VGOst1nHhi/tNG/Sqx7pz4/HR1g/Bng/pmdS8dQeCSXHujARx5SX2X6cOOnZ1JwwJFU5Qu7MdPRu/LEAh7nzbev9SavqPHjScc6nvPxzjyxmG8dvAwjpyUdGUypv792+U7xTHUlcv73TsyBM5jMsyQTNAS64oeTTZ2Y9aF5LtOwz1xr4qdDfr3Apzy6/Ue8/xi37tiCcTvTN5mbq+txko3tu9Txs8j9HpD9LtmOu8P8ePPVK81tpqmTmomwbqeKZGxWwYNM0bJhHJZwF0af/ONnWfp5ACWud4c86PriSo4nU643W79dof+BirVqoQKTN190cqDuXPyrfpA36kqbJOfqNhqfOjEc1UJx6RtpIIigbGUi75TnR4AiT8vY2xIULN6i/nBHn8mnXta2JjRa6qIVBBePyazDMqH40/2YMfWTXCukjFUHm6B90ysxpx0CAkGvdMO9y1OOG9xY5MEXnbU7TEq9EkVnAqXI2lf46F+irpd/WS7IheqH6qBp1y2iB6+0SPlI8cxymk99qgAyKzhBFXZscusiCqAo8YmlD3OePVKd3udfMgn7a/JeCXtP5DzUa+HuzehSsZN2XPIJ9slL3MoR7XrpDKPpiXB08aXVDhLxr48LzdqPCK5aZJgVkotqdD0/bhRz5vzzvXiLePBPTV5lrdoylNuKiQ4OtNiVjpm2mbG51Kdn7mDjJfjf1sebKlIOq/UFXFzN/3WnWJGzqTXVnJ1Vo1hVaVek3I9u2V/55079C86k2dylrwkkJjXur5Kvsh29r8mYUUfDsh4MlXyRbR4mYwf+cPO+FgziZnUd5KxMdclrgRclbFwZuyJGd+f5lG+xgFmuYajZVQjY2omnLrKKGoeqYZLVqb/+o+dUoo7M9kam9d5koKv62SG0OSU5Mcd/d0qqbyTN+NjClBgiQWKjBpFtXxGT1rkvSX+tdt4prJ88qebozS+j//9Fj1A1tjQaNw+2D/pE9r1wF7IRAbyA04I0opOgnyt6Hg/HhDzyhf4SUs0X5PWpXgwOm5HxQNGTrvVmNaa1APkM6vmpfqkzyzZWa+vzFzXq/xeO16TH8h8KuBXXYX1txTDtkzGiJaxhPVlps/LpPxJKyb9B6vR0VGYfwN9bfpWLU/2GoEFs656qBHuaF1W1cvWVxs/xqgfZ6csadSrKh6o14NGrW8bAZN+GadY/Thed59Rhul/XszwmTAlY3NfYX5+I43zT12Xt8OeqkxM16QszVq+SdunfJjG68gIaErdojxlCumtTPPa1OtRG92T6wbmD7WpjqTnf4Z6e6p9outmu44n72r8yD153eyPXPe36ddN749q4FJ5tbtQ86Muo5GG3mBhahrB99qxR677uoPHMOrrRfvLhyXY+DFkEkl49+2AGgNTX0rlR4bvNWH33zahRs3YfE4Cka9I85D91Rg6JOOEy/cgNQ5r6GQHGre50ZE0LqieRvT1VvdQ/Id0Y738EK4HqKd+S9OfT+eftF5byQn5MBBMWJfG+4O59fT12lnqpGYCrOuZEhm7ZdAwY5RMKJcF0vxd2SDQjHDD3r4BaV0WQOCz6N/ZjzF4+mM0Jvz6k6rONcVR0kiumg3JQMZqia+f2qJwNOGX8ilpSngrMDx5bVAme/Gdi76jT35q5kcyMHC3askm1cBKs9Vfwh728moc9kUwGvgYx3/ZLa3CpFJ+VCZG2dyCoRSVJ+1MN7Y/IZXIR9tw7OQgAtJCT7pxGB/KSec0q9/RQSQOMg0JNPl+Lb/QJ5xmt7QCi5WRlNXHZwcxONQFz6QISMIJJdx13VcvQSCg+3351fxot9yTD/vYoMrmhhr6dm3HAQlGPv/GMQyeDSA0GkHoxGvmBgm3cyzHFH4qMc8jxheVfjXRzge9ag2adlYmHCd+d+g/70bjK17UPduNgaGPEQiNInLhuF6pj2+V+t6s/ql3m7w2/iKevH62R/IrvUsqXTglLXknbath5tf+pI1nfyDGxhX9PAYSr2f1WhkaxMfv1U+uEM+Qouv+3RgYG0VAXmPHeg5j704PvIf2YNMu1WIy1eKXVsqT1/t9U1uozvT+NJ/yNY884zUcLT/vUNIX67Bfv9bCUnFL//VvHvHGbqe8Hj8xBiCflJr8+qyHE5JcJ23DBxSggGUEVGvBSYtc18k/ayVvomnxd8XKJ/vlPdf8nJfPuAtNCH/QoU8k0hft+aGnL58pNY8bEwSEpEWdWQUwb808aCPGJ0Kla5bAg7z3wbUdMu4w+t7qR//RI/qPn0ZLs6RzUonPVteTHwR3vz6A0UsBDJ44hsMvNMknuxd7Ht6EnnNm7tK71VtYSYBB3Zp/nkd2G6303dHAglm/eLpXzEw/davqsoPwfi8pMJFw6BnrVaXb0PSkbHxIJiSTHzV7JaDieUlak+oBj8X7vEjIbuq7czj/KZ89qVOceW2myne219HMuZjTs+lcmxhJeq2bwZzpjpRGvd3cNZjGdWxuO+k2+j1t0ro0HmjS+yk4PLnGqRoQzLSEpMeZWqq2bY9vqVoh71Q/7gOj5utMf2T+o6HnKfl+cXBQvotIC2VVR5QWhwP/dBi9vpA+iUrLSzKxobm5eRtNyy+9YSYt8j2tX/3Ijvj74qTn032Q5mur7vXj0nutXVL1YscPupLq6PKdKY3vXTPldMY6qenJul66pZr2dgwapk3FDSkws0CxvEGpxb1ZtTSThmwjdjhcLrjKjb/BtyQ4sHnPpG4v+oap/on+WmR3yJOnJJgTTNhIusEeP6QeV8Ed3U61gjqeOJPfOS+aj8omGx3xD6loEnb5NUstx30JiQb74ZYZR6t+rn7HmmFJ/myUIFzfPpkVS+3y7N6pgTbJa63M3FX1U5/8IFeBbQ804PnXj0DG/pMlNKnVpennP2F0G3j+mb2ovrcSLtWacHgAXadkF/mlKzkLKqWpi1SElZ18YCXaBT9ol1Z+VejyhVGx2azwSvApWkaucqncP7oJmx7vnfIhN+UY6oNJuhS0yK933qdk5uX9Mofxsw3Rim/C1jLbWK8qC6mOt8rMaJXSLUm1Rht41/jaY563sUf65ai2t0tXeVXt0JJrrBuq9SCrau26XVU2pOvMNt3DOEr8X7OLr3R52t8gs8FVwCWZC/qOGK3o0sOOJ5fOvcRKh+rSPW3ALJ6YfK9JsUhrWikvoBcD5+NPax9FX/vxVfO7Z5duFltUEkHYy+LXs8s+iPrKTah/K94iZaYDaWe69Jk9O+R17NpQierHm9Du9RpdRuRLaHLlz16kvpD6pJtKMCFZmU1Z/8FAZuorS4mSsK26m4Hyne0alitSf0d5pX/STOL9L6zXr7WBL+by+k/K/hweKi3vru5Js3D3v6UC+dMs0to4HcFp9uZqClBggQXMVlrd706ulwxJV2K1eNapq95Yut6ZPFuy941m/Qmn+rCVyoBLPneNz3n5jJP3TrseF/NBbwFoJiK3QfkhSF/Um8OGbfr7c5/MeuuLvUFLF7vX9+ibVG91GdvO+K8EIp+RH/FkFuUddfJjqNQDqs1hMBL20+srM9b1JIjwsPTS8HRKPciFyj+tRtPfH4b3XWO4itGEwEzqz8uEg017V97LVWukozLkipyvXeqvei3pvAZHwmef/Wyf3gOkW4a/mbzI/mnWq6p3qYCCtN6/e4feQ6PlkW1GUnOqL00++rSPYvXkabdI+cTczz9lMmmuTL98Z0pw9tfRTHun/1y616Z+hargcMKPdH75gV3V8iun1GFmq7cHp2Qwret4yl4yhNNWo9v4lLpzim3jqzR07zR6mvQnvvTlNeuXep2kGuvxpcn1GGupGg1QjoYSd5LfCKI9tOLpx+9pp7rQeLQO3X+jfuwPG99HiqPBfGmnXCzfhdQXiSl1GHmtK3PfPqmPxZOToYyiP7RIz5wp+yRsl+qu+R1lLq+t+vu2Se+13ejW30+a0faOqien//6QKh+xdbPVSc2gobkD63qmxLxvGTScNyETyDsBeUPSf2c2PwSj49u0v3wA3l8H4bi3UUZxkOrQE5vQoj4spQVfz4v12LFfPiYfbYTHMYOYXjHtQ8dPuuCTQEjNDw/Lxj7scNfqY9gMnZExZrZt0oN0e99tgiuhMtTs2a5v45MxFWvvrtcPcvgJ44Mx8YgVO6UbiKw48LAbB+TXb9+HfWh27zC2bzACnonbJ97ve6IFLc/J3zPyt0uayy9zov4Vn2yyF4MvTD0WJOBSt0V9gFWhVY7llzHzTsi4HJ2vyC4y9l6l+vRK8qvYZvz65n25A/1i1y/bV8n5q6Pg7ABOSAV2tkVtUfOUChj4UHunYXfinQ64H1SV9jrUb3Nh25NtejKNEuTteu+EPs7ggcfcaJEP/7pnqqd2H9K3jv9j5EJ1UValbSxNdVO7jkL/RVE934sOMRiSLgydz1Rhhz5OngQPfzX5y0665agfUbpgqRKbOj6bOW6QvhXad6UoG/0pOzwPGN7tP1Xj7EnLrFdbok6A3+dDcHZu4yDp/ivjOzU+04X+D7w4INeIHnDWqzkpEoh++PfJa6HrPXPswPh25vVhlrHvgx4J5BktRfTuXvFNp7+XfD1P2dIh3b31Kxqbtkq3+g+lRa5cY/W37NBfky3TtOBMTsa+rkoP8LZsbZTrdEgf27Lv1Xb9/D07ZfzTpB0qpNWHfp0+aFynQx/J+8hz9Wg8JBs+nTB+V9J+avym+PtTBsp3tmtYfoRoekPPKdwPH9Cv2b6fNuvdatQ4h9vvUL+oq0ym9/pPPp20HkvX790H1ev4ANY/LGNzyXihPc/VGu+5yQkM+/VWSk3361+Hk5/lYwpQYIkFYh85G+r0FjW+n+xA7Yvy+fSRjG/8Zis2NRjjAu6JjZMmGX67Edufk21OndCv/XpVx5D3n5ry1Cejxv5V71p9u6rQ/GqfUU/7qXz2yXuYapnfosadk5ZfxnubBLeekPrIr0+gy3wPfvJIfAzF1IeIra18QB3JWGrkfcplPojdqnEaD8ujmep6MoSMapl0ag/q5TyHzsn4w1J3a/+ZsqgxhpuR9361TPd5aTyb3r96GZRVo/1Z2V7Zymf2CVUfe/MAnHr3ZNWrYmplNt16lTn2sp4bGWO4ZkM0X3OsL814NvpJmPXp2Ktqxl3Uk7Etb+D8Z008Mf1JG6dRvpO2T/UgnddRqv3SXxezmcu1qYLD98lwOdLLR12/6+vUa1bGdnwgaTgRWTtbvT05p2ldx8k7yWO7DHGgln5fUg8Jfe10/0h9Pzqm9I4GVc+QuqD6/lRs1GObemSMSPlOpn3UheJVxaj/mf6tBRX3G3XSA1KXa5XvhCc+lPqJ/p1QPd+G2oTeZ8aRw+j07EFdX3u0EYIMq/SS1FdkfMPmFzvR8UwtGqXV4N6HUnxfk7rQ3tfV+00r3DWqPiZjqCfUi4/8cLrvAinOedJ3s3Aa71HxNIyxEu1o+Mdj+g8PHdK1un8YN/69K7FeO1ud1KxMs64XL5BM3ZvXNCrcmQI5JmDO2mTOlmc+1medNc9VZqiT33YjakYofZK/hJn6gMPGOpkJ6/noTGlyrUb0PzVTmTkroOwjvz1Hkme5G5WZmeWjQd/ec9CYwe7jX7Yb+5vpyO3zsdntzFnNosdI2KatLz7j8mCPmi0tPivh6GfHorM3x/dr6zFnzDNPNH5rOsTOxTzOlprI8wePRALmealdks5tdOhIbFa++P5NkWPJsx7raYqfmvU0OruauX3Twe5Id3TGRH1mw6RjmDnt1Wcvjs4kKCsD/dGZos38ikG3z5wzWs0k3R2dOTfu0CSzUCeejpm2eRs7hrmRzCInH9HiK7MmR2ewSzYIneyOlatxTk2R7r7DsVl7B0bTK0czD4m3Ay+pGWKb4jMRmk/GZgV+PvKxmS/1XLLdhYHIXn02w7hBe09v7PXb7jNP1Ew4RRrqqeis4k2JM32bs6+djqYh14V+7ZjlsWVvpP1ZNSOk+doUBzWjZHQWRWOmTGMGXPkiF4k5xZ6XmQCjsxibrxXPk3uN8ohen+Zr15hJLuqcsL+a2XzS9azOJdlIVg30PC/5jBup+6/9Mj7jtHGNyWsvkSvJZPDdqdcy5H3BmG16at5GZYZu47UVP67naZmJLlqesXMzZ32O5n3S+aRRvsnvDyqZxGXWa1iumGMHozMymkaPtkUGojNuzv76l3JMfI9K8k/HVuV3oMeYrdsop5pI06OGW7vMlm4uRlrG7NPmOt5SgAJLLZAwE3Die6jMGN8evY5j778yY6v53mK+B8aeM99/drZF31enP6/p3teODMXfL9Rn0LHobMGxYzzaHq/LpUj+477oDMmx92VzRlNEes+aO0x9v5+5rif7XRKL5HqlnG977HNIzSyd+HlpHivhNvqZlFz3NLc4Eq17NfVEP9tUfcyse5m2Ut9IrL8l12XTrVcNHDRmyjVm0TVzIPWyWetL5ufFzJ+3qerT8aMk35vm9XcD569STvWZFas7xupj0fpOdObg2cs3Oc8yQ3Ti52b06dleR5M+a6cmmWLNNDazXJtmPSp23cRePzWRXrNOKNeXtEZLqPPNXm9PzmB613HyXqGIDBsw6biTtjDrbm/Ev0cZz8v7wevG9Z14XvHvZLLV2W69rph4jQXkNS0h/8l1yJ3x97HEYwfeVXWpvTJ3d+ISihx5yaxjeSIzfV/T37NeMmZaj+dRZlM+mfC+Fs1jbPbmxEOZ96UeJj+XR/NsfLed7bVlvh8nfmce7Il6PX1ET3m294dUaajXUmK9droyj70vyZFY1zMLMnO3NpWUvKi4UIAC8xRQzdztqotyQus/NdOqJuvUeofqJpPOIr+oaDLmx6RZvTSZue58SB+NwindfB2qabq+SJeGx4rlV6cmDI4dRkVYxneTnwJVN8p0DqdmJ1Yj9zgc0o05Id9m6hm7lfNRM84qG31w8KRBy9Vxkv3U2CH6uTjkXKLnq6npBmUQ5TnlVY4dVmOQqDIom/rLOFTe5Hm97CTtdNxuyCVmYDe6XBsnrY+5qM7vhssx6IVNWmJKsE5m4TV+Pb2R/OmvVdlRdUPSfZWbtKZ1qEmAMvraUOUhL1JJU73u0lrk2jKuo2m2ljFjgqp7lhrncEqXl2n2uZHV6jqUF6V6rdhv9JpRaegzH8uILUVueS3M9r4gr8/zAYzK6RU7ZPsbPL95l2/s9Tv9NYxoOdilH8uU97vY/qle/7MZzF5YQWklG5CWQZ6N8ppSLW7Ua/ajHtik5alUjNGkfs2XSWFal0nLTRnoP6L/Gj97ujNtod6zrly5gisymcCVK6O4evUqxsauQToRwlZYCFtBIeQf+bPFk9GrXFLtmrgu/6u/cRQtW4bly1egWPoVlpQUy1+J/ldQIPtyoQAF9FnrQyPynml3oiKh/qDJNV4s17jx+Vch75XyWS/XkSvVZ31KR3l/PSetjdTEdjJxiSsh7cTNw0E/QvJ5OJ/34MT0pr0/bV0vvof5Xg71+bwu+nkdf1pVpmb+vEzcNs37en1M3lf1umw6tur9fj71qkx9XqSqT6d5zombzfn8E3ee4/1Zyzed9NJ4HaWTTDrbqPymujYxPoT6ZZvQ92Q3RmUGXU19H1LfN+T1M2sdXsp/xnr7lIyldx0n7hZ8T1rjSctiCXChIcWQAYnbTrkfq8el/31LpRE+rwzUyILSVXea9xpNfY+T9sjTzPM4JSvTrVDpBIblPRPFcKd6n5hux6T1yd/NkInX1nzfH1QeY+8RKeqkGa7rJZHk7UMGDfO26HniuSFgBg3rMDDaO3VMwdw4yTw4i/mVY/+L0t15fw0CY22TuqznARxPkQIioKHLU4zmU9LW+0QATfe65AvKCey5U4YekM4xxwIDelfC8IcdcG5rgbT2Qd2GucOpyvPXX3+NsPxdGbkMSFDPtmwFJgqWwVa0XP6WAYVyPzFImMZhIhI4jFwfk0rwGGzXr8ntNYxfla8VxSVYs3oVVq9erf+lkRQ3oUBeCZhBw7rXB9H75I3/aJZXaDxZCiyGgAQNmyVo2PWoBA3/qWHKECyLkYWZjxHEAZt0GX76CCIvG8P0zLw9n80WgfnW9bLlPBc7nxltP7LYmefxKEAB+YXlrFJQv11xyWaB+ZRj9Y+6Ubd/E3a/14TeR6aOE5PNLsw7BWYXsKPxzW40b25E8zY3mhN2eP7d3ujYY0G0S8AQLxybU8BQtSQMhUK4KIOYX5eWgbYVJYgss8N2k1NvTagOJe0J57XYCoskLamOLZfWTtFFwo8Yu6bhwuVRfBk+j+tjVyVwuAY3y3GdTjXUORcKUMAcE9kvAX0uFKCAhQSklac+YuBZ1drNiosLe4e60Vop454/E0FDuRXzyDzNXeDG6npzP07+7cGWhvlX5jzjHBPQpNuMf6RYn5U3x04tr05n3uUoXRGCMn2Lmv2YCwXyUkALwndiEH4ZxsAukwRVeibPMq26UamhG2brGqWCg19++SUuDH+JsXH55rNipQQL5U9aFS7VEpHuzBHtMmzXrmBCgok33XQTyspuxsqVK5cqSzwuBZZeQLqo+WVSkOLySrhiw7YsfbaYAwpQQLrjnhtCSCZLq5h1GJal01L1AqhhkFh1XrpCyPCR063rZfiwOZ8cg4Y5X8Q8QQpQgAIUoAAFZhNQ3Y//8IcLGB6+gMLiUkRWrELBinjrv9n2X6znVXfmidFLsF0dwYoVy+G69Va2PlwsfB6HAhSgAAUoQAEK5JkAg4Z5VuA8XQpQgAIUoAAF4gKjMpFJIPgFvpIWiraS1bAVr4l1PY5vZc17E9oIbKNfo1DmWrnd7dJbIFozp8wVBShAAQpQgAIUoEA2CjBomI2lxjxTgAIUoAAFKDAvgbGxMXweCOhdkW0lDhSsdMx5EpN5ZSCDO09cvSLBw69QJBMul99+O9asWZPB1JkUBShAAQpQgAIUoEC+CjBomK8lz/OmAAUoQAEK5KnAF198gd9//jkKiqVl4UqZ1ERmQs6FRbU8xOUwSleW4M7yO6T78tKNw5gLnjwHClCAAhSgAAUokO8CDBrm+yuA508BClCAAhTIE4HLly/jd59+hrGInPDKm2ArWp6TZ359JISJyyGU33EHbrvttpw8R54UBShAAQpQgAIUoMDCCzBouPDGPAIFKEABClCAAkssEJCuyAGZKbGg9GYUyNiFub5Exq8BIxdhX1aIdWvvYqvDXC9wnh8FKEABClCAAhRYAAEGDRcAlUlSgAIUoAAFKGANgWvXrsH/ye+gjV8HSstkkpMia2RskXJxXborR6TV4bq1azlRyiKZ8zAUoAAFKEABClAgVwQYNMyVkuR5UIACFKAABSgwSeDrr7/Gx34/IvbVKCx1Tnounx5MXNOASxdQdpMT5eXl+XTqPFcKUIACFKAABShAgXkIMGg4DzzuSgEKUIACFKCANQUuXLiA8+d/D9vqW1BgX2nNTC5iriKRCeDrCyhZXohvrF+PghyZ/GURCXkoClCAAhSgAAUokHcCDBrmXZHzhClAAQpQgAK5LfD73/8eFy6GJGB4a85OdnKjJThx6Ussm7iGuzd8A8uX5+ZEMDdqw/0oQAEKUIACFKAABSYLMGg42YOPKEABClCAAhTIYoHfffopwpcuA6tvg42t6VKWpBrnsPDqJQkcbkBxcXHKbbiSAhSgAAUoQAEKUIACDBryNUABClCAAhSgQE4I+D/5BF9fuQrbmtty4nwW8iQmrnwN25Uw7r57A0pKShbyUEybAhSgAAUoQAEKUCBLBQqyNN/MNgUoQAEKUIACFIgJfPK73zFgGNOY/U5ByWpEShw4e/YcNE0mSuFCAQpQgAIUoAAFKECBJAEGDZNA+JACFKAABShAgewS+Oz8eXw1MsoWhnMsNjNw+FsJHI6Njc1xb25OAQpQgAIUoAAFKJDrAgwa5noJ8/woQAEKUIACOSzwxRdf4GL4a4Bdkm+olFXg8PrylTh77t8QiURuKA3uRAEKUIACFKAABSiQmwIc0zA3y5VnRQEKUIACFMh5gVAohN99+hlsztthKyzK+fNdyBOcuDSM0mUF2PCN9Qt5GKadQiD8UT/aX+7BUNiBpv2tqLnHkWIrrrKaQPDDHnT/KmBkS7r4u/+8CQ33u6yWTeYnUeC8Fy1v2dH+o+rY2qH3u9D1thd+bEfbS3tRycsvZmOlO/0vtgLfb0N1uZErXn9WKp0UeRkPo++VFrT1DKDi/ka07tsNj8uub8hrLoWXxVexpaHFC4jZowAFKEABClBgqsDo6Cj8/k9kluRbGDCcyjPnNQWrynD56jV8/vnnc96XO8xDYLgfzsodCN7XgNbvOVG72Ym+cxxjch6ii7Srhv4XGtEtMUO3ywGHwwH7qkU6NA8zdwEJYAyd6seBXbXo6PHDvMLCHx7ApgebUfl4K5ru7MYmZwv843NPnnssnEA4OIT+tw5gx/4D8IfNkuP1t3DimUnZu8+J+n0udL7ZhXp7N6rce/Rri9dcZnwXOxW2NFxscR6PAhSgAAUoQIF5C/zL4BDGlq2E6l7LJTMCkYnriFz8PdatvUsPgmQmVaYyk8DQoVpsGtqLyMtGy6cTL9qw3TGAyN96ZtqNzy25QBgHbE2oGe2Fx2g8s+Q5YgZmEDjnRf1TnfAf9cK3sxuj3gbYJXTY4ynGwEsBtD/gkp3D6LA5YT89it33sFBn0FzEpzR4X2xE5wk/vEd9OCxl06SXDa+/RSyEuR9qfAhVyzah7UIENWVqdz/qbetRfzYEPOrkNTd30SXfgy0Nl7wImAEKUIACFKAABeYi8LtPP8W4rYgBw7mgpbGtraAQkBaHaiZqToySBlgGNgkHvfBUumMpOdbVAAH5YsXF2gJaAMfRh6piG2w2+fO0oP+82QrK2lnPy9xtqEGv9wh636iT68sU0BA4BVS6zf7Idri3yNMXWI6m0NLf2lHz97048m43pOTiC6+/uIUV7xVVov9CKBowBIIf9Mm7pQeV0rWc15ykAy8rAABAAElEQVQVC2z2PDFoOLsRt6AABShAAQpQwCICahzDUPgrPbhlkSzlVDYKVpQgIv0sVWCWy0ILaPCfkO6tyYc5F05ew8dWEyhyoubZdgwERhEZC+FYXT92PNQd6/ZqtewyP4aAllhC4yrwm7TIxTgUZNA+SWXpH0qX8UmhXF5/S18ms+TAUSbB+OEhdD5mg7u6Bd0n5AeyIl5zs7BZ9mkGDS1bNMwYBShAAQpQgAKJAhMTE/j0s8+A0pv11j2Jz/F+5gQKS2/C5dGrGB4ezlyiTCmFgB2eR2oQSPw2LC1oPPdVptiWq6wlIJPWvLDXGNi/yIHq77cAp04gwPHwrFVMM+WmqAI10rIw8fIblVaI1ZunhPFnSoXPLYbAlHnOeP0tBvt8jhH8sBO2WzbB/8AxhMYiaPhTF8Brbj6kS7ovg4ZLys+DU4ACFKAABSiQrsD5879HZHkJVGs4LgsssPImKO/xcUZBFlLa6aqE76kODI3IUUaG0LHLh5qNzoU8JNPOgIB2qgPFy+oxFI04nXinG9hZjYopwY0MHIxJLJCAXWZ1Bfa80KcHDrUzfWg+Jd2Vyzie4QKBZyxZXn8Zo1yYhMb92L1tD/a+O4i272+HfSSMcFha0I/zmlsY8IVPlR9tC2/MI1CAAhSgAAUoME+BkZERfHnxIgrK7ppnStw9HQHbcrt0Uy7F73//OdbKxChcFkbA9VAbjjy7HZtW2fQDeF44hgF9UoaFOR5TzYyAfctudD9djU0ypqGxNOH4Z5NGXcvMgZhKRgXsRRIQTGhIWP1jCWoUb0KxrVE/TtsvA6iWBlFcrCegQrnF0cgFrz/rlc+kHIWNGco7Ht6EjoQnuodG0cBrLkEke+5y9uTsKSvmlAIUoAAFKJC3Ah/962+hFdg5+ckivgIikQgmhj/FN+/egJUrVy7ikfPvUJq0wtCkFYaDrZyyq/BVCxppjOtwyPhdXLJWIDwsraDsDjhKs/YU8jPjvP6yttx5zWVX0TFomF3lxdxSgAIUsJTAyMVh/QtTqapsr2bjdUsVTg5lRk1+8qm0eLM578ihs8qOU5m48hVKMKYHDrMjx8wlBShAAQpQgAIUoECmBPgNL1OSTIcCFKBALgloPnT8b+9CDbMVW5aXoabpr7H1VvnoGD+Pvv/UhdMJ8ySUrtuGpv/wIFR7i/E/nMQvun+J85KA4/bNeLjxYVRwmKAYJe/MTeDzQBCRYgfMjoBz25tbz0egoGQNrnz5Gb7++musXr16PklxXwpQgAIUoAAFKECBLBPgRChZVmDMLgUoQIFMC6hWXKkWNb771keekEDgE3hCgn53Fw3D+wsVSNTg7VQBQ5kxsvE/4h/+4XnsfmQrRj45ga4jZyVieBadP/Pi/PJK1Pz7rSj63Ic3Xn130gyFqY7HdRRIJaBen+MTERTY2T02lc+irCtxIBD8YlEOxYNQgAIUoAAFKEABClhHgEFD65QFc0IBClDAYgJFcG+qQPm6ClRs8KBuRwVwRcPVT/pxUob/8TTuxn0bVLvCIpR9pwYNf1qBUm0EI4MnEZb2hk/srsPWP3kQux+vlP2GcDY6y6TFTpLZsbiAClZFitdYPJe5nb2C4lUY1TSoyWi4UIACFKAABShAAQrkjwC7J+dPWfNMKUABCsxRYBz+f/ZBTTaoaRcwcMwPrN4KXJSIoQQFK9dN/gi5+98/gbvVEcbvRtNNQLl+tBH88r8Nyb27cSe7J+si/Cd9gUuXLuHa+DgKVrOVYfpqC7SlfRW++MMFlJZypoAFEmayFKAABShAAQpQwHICk7/xWS57zBAFKEABCiyVgPqAOP3ffomzcmdcAjelt3vwxKM1WHGuZ5osjUtwUSYgtJeiXCKG5we8+D/fOyndmaUb83+o08c6nGZHrqZASoE/XLggL6hVKZ/jysUVsMnYhl/9wY+xsXIsW7ZscQ/Oo1GAAhSgAAUoQAEKLIkAg4ZLws6DUoACFLC+wLh0O374R38HT9Inxfhq1SX5LM6eH8fdCa0Nfd0H8O6nHvzdsw/i5C860P+JPL+9DnUPbAYbGVq/vK2WQxWoDofDKLp1ndWylpf5sdlsKCxZjS+//BIulysvDXjSFKAABShAAQpQIN8EOKZhvpU4z5cCFKDAHATGr0zduGjDX2BzCSQw2AWfmh5ZlvP/3Id3zwGuP6sCBr16wNDzyG7U/bs7MfKHYQz/IYzxqUlxDQWmFbh48SKKZCw9m41VlWmRFvmJyIpSDEvQkAsFKEABClCAAhSgQH4IJLUfyY+T5llSgAIUoMB8BEpR99cN0Lp68G5XB96NJuW692E0/UU5gu//v/oa3zud8MUOY8fDfyetFtnkMCbCOzMLDH95EZEVq2GbeTM+u4gCBcvtGL80gcuXL2PlSo4zuYj0PBQFKEABClCAAhRYEgFbRJYlOTIPSgEKUIAClhAIhUJwOp03lBft4jBGpDWivawMpQwI3pAhd5oqcPXqVQwODaHwlnVTn+SaJRWYGLmIW0pX4I477ljSfPDgFKAABShAAQpQgAILL8A+PwtvzCNQgAIUyFkB+01lKCtnwDBnC3iJTuyrr75CwQq2ZFsi/hkPa1tRgpCMNcmFAhSgAAUoQAEKUCD3BRg0zP0y5hlSgAIUoAAFskogJEHDyPLirMpzvmTWtswuMyiPQ7UG5UIBClCAAhSgAAUokNsCDBrmdvny7ChAAQpQgAJZJ3D50ghsy2W2HS6WFCiQ1oaXLl2yZN6YKQpQgAIUoAAFKECBzAlwIpTMWTIlClCAAhSgAAXmKTAyMoLCZcthK+DvmvOkXLDdI8tW4KuvL6FMxjLlkjmB3zz83cwlxpQoQIElExhs7ViyY2fjgdfdtBL3beDnSTaWHfOcHwKskedHOfMsKUABClCAAlkhoGbmjUgXWC7WFVBdlFU5caEABShAAQpQgAIUyG0BBg1zu3x5dhSgAAUoQIGsErg0IsGoohVZled8y6ytaDmuj49jXP64UIACFKAABShAAQrkrgCDhrlbtjwzClCAAhSgQNYJXLlyBTbpnszF2gIFy1dAlZWlF4lpaoxrWrqImDkKUIACFKAABawtwKChtcuHuaMABShAAQrkjUAkEpGZea9BtWTjYnGBwmXQNM26mQz2o3aZDcVbu5DRXI4PodZWi6GMJmpdRuaMAhSgAAUoQIH8FmDQML/Ln2dPAQpQgAIUsIyACkIVMmBomfKYKSMRCRqOjlo4chb2w4vXEPI1YSFGyLTwmc9UbHyOAhSgAAUoQAEKzEmAQcM5cXFjClCAAhSgAAUWSuDaNdXKsGihkme6mRRQLQ2vXs1kiplLS1oDtj7eLOntQeOL/fC/dwD1z8ifzYbOMxq0c/1o9thgk8e1z/QgaHZh1vzo3FWlr7fVtKL/fDQ0GPShRd++Ci0/6ZJgZDQMOR5Gz3O1xva2KnR9ENTPQT/ertboMWrR835/LN36n/Zn7jyZEgUoQAEKUIACFFhgAQYNFxiYyVOAAhSgAAUokJ6AChqigEHD9LSWditbYRH08lrabKQ+elEl9rzcJs+1of3pamjhAfS90oqa/kE0lg+h/u4d8PwsgMhYCLvtjXD/0CvbhtG1bT28mzsxOhbB4N8AO+5sRVALosVdBf8PjyN0yYtqGEE/FTbs3+9E43AjAqMRadHYguZqN/rOyziK6niHhtD0XgiDfR40PrgD2uO9CH12DP59O9DzEdsppi44rqUABShAAQpQwGoCDBparUSYHwpQgAIUoECeCoyNjWHCVpinZ59lp11QqM+gbNVcu9wuYIsLFaWSQ+n27jk4iKb7K2E/PyAtBWvgvDAI79EBhIs9wKHjCI4E0HcK8DhC6D/qhX9EnVkHBn47KP/Woe372+AodaHm6U6VoEyw4kfPT4DufQ1wSQTRsaUBR54Euo4OGcd7vQ3byh2orNwk27fJsSvgKK9GyxYgZLZsVIfgQgEKUIACFKAABSwswKChhQuHWaMABShAAQrkk8DY2DhsEozKleX/+69HcO+99076+6+/9uXE6alyun7dutEvvS2fBAGnLLGGrCrwF5ZgXyu6+2rhiPY4LlbPj8vepdvR23ME6zUJAqICTjOhIjskzCjbhBGQG5fDfEK1MATcruiW0caEGkb14KWRvP4ovgPvUYACFKAABShAAYsLMGho8QJi9ihAAQpQgAL5IjB+/Tokapgzpxv47T/r53Lvv/tzVFfvwObNW1G6enXOnJ+tIPvKyl5qBPUq7qtB3SN1qBjxovGtgIxSaIdbSsZx93bUyPrqu8Oob+hDZJM8lraGR05JRFCWoaPd8Kmt7ZVo3CJtEd+JBoGHfeh6G6jxSAvHxEXFVU8lruB9ClCAAhSgAAUokD0Csd9bsyfLzCkFKEABClCAArkoMDGhgobLc+bU/s3/mX4uf938VygtLcVda+/CiuW5c342qwd4txTHXkvuaEtClNdhoOc4qpy26HN1OB6oA6RG3O7rhtPjlOlTjOW1EwFUSpfkrv52uLc60RxLrUm2t6Ph6DH0yniHtl3GE01vDKCuXAKL8jB2vCLJwxZpbRhd4jky1/CWAhSgAAUoQAEKWFfAFpHFutljzihAAQpQYKEFQqEQnM5Y57uFPhzTp8C0Ar89exZXCleiYEXJtNtk0xOqa3LicseGzfhP//gyXDflxvU2MfwptvzRdxJPMXvuyziHYelC7DD7JZs5l67J4REN9lIH7Ik/rU+7vUyhEpZWiHaHjHloJnJjt795+Ls3tiP3ogAFLCUw2NphqfxYPTPrblqJ+zaUWT2bzB8F8lYg+/qV5G1R8cQpQAEKUIACuS2QS79iXr5yJVZYrxx8Df/zYzW4fO40Xvs//ktsPe8soYDdPjVgqLIjLQgdjqSAoVo/7fYSeCybf8BQHYILBShAAQpQgAIUsJpA4m+oVssb80MBClCAAhSgQB4J2GzSZTRHOkCMStDwxf+1DXdV3IVvb9qEb2/8Fo7/Fy9OfzSYMyXKziqZLco/fvf/ymyCTI0CFFgSgT9ekqPyoBSgAAUWRoAtDRfGlalSgAIUoAAFKDBHgQJ9jLzcaG+oXb2Iv/+HVvwv//svEAgEceq//9/4/Gvgj771rTmqWHjzHAnwWliYWaMABShAAQpQgAJLKsCWhkvKz4NTgAIUoAAFKGAKFBUVAtcmzIdZfetyfQOP/49/gbf+n2N46KFj+rmsKFmNprr/IavPKzHz+sQ1iSt4nwIUoAAFKEABClAgpwQYNMyp4uTJUIACFKAABbJXYFlRESLatew9gYScFxUW4j/+/U+x4+HTOP0vZ+C4xYVt925BWVluDPYemZhAgZwjl8wJcCKUzFkypcwLDP/ZDvzh/prMJ8wUKUABCmSJwPLCAvzlH9+ZJbnNXDYZNMycJVOiAAUoQAEKUGAeAsuWLYMtIlPa5siiAodbqrbofzlySvHTmLiOIgnycqEABShAAQpQgAIUyF0BjmmYu2XLM6MABShAAQpklYAeNJwYz6o852tmI9fHsWzZ8nw9fZ43BShAAQpQgAIUyAsBBg3zoph5khSgAAUoQAHrC6xYsQKQYBSXLBC4PoYVKxg0zIKSYhYpQAEKUIACFKDADQswaHjDdNyRAhSgAAUoQIFMCqig4fXx3BjTMJMulkxLgoYlxcWWzNpSZUo70wmbrROqg334nA++87nT1X6pTHlcClCAAhSgAAWWVoBBw6X159EpQAEKUIACFIgKFMoYgIWFMhmKBKS4WFvAJmVkt9utnclFzp19XT0GTtdDqQSOVqHqLf8i54CHowAFKEABClCAApkVYNAws55MjQIUoAAFKECBeQgUS+u1yBhbG86DcFF2nRi7ClVWi7KMB9HzTK204rPJXy16fh3UDxs+1YNafZ0NVbu6ENQb9mnwvtiM5udajedqWuH9oA/N0e063lf7prMN4H+nFa3vRAN/434ceKwVQ6r3/Dkv6h9rQWs0T1W7ehBU68MD6H5nEMH3D2DTU/J43yb8wvsL1MrzYXmoFu2M5Fkesw2i4cF/KUABClCAAhSwtgCDhtYuH+aOAhSgAAUokFcCq0pXAuNX8+qcs+1k1SQoKoC3fPnijGnYv9+Nxo/qEBiN4ON3PWjcuhv+YD+cnkY0ngxIkDmEFjTD/USfThk+0YWuUxXouhTCkS0HUFvdhYazIXzc346WB3frgb90ttGGvThw3gz3hdH7theaBAe18TD63u5A8c52jF4YQNWhRjleGFo4gI79fjju34tjL3iAZ4/gL6u/g4A833/eKOX+g40IbK7UWyNmW7kzvxSgAAUoQAEK5J8Ag4b5V+Y8YwpQgAIUoIBlBVauXAkbg4aWLR+VsciYBlVOi7JIC7+enwCHX26ES/r9VjzUhsDZTlz97z3Azm403OsCihxo2N8LvN2FIWnCNxoAXlPblzpQUVkjwbu9qN4g9++rQY208VOBv3S2AdzwxMJ7dnnkjp7yqNwext4HJPhX5sHegx70npAWiUXRp4tkW5fs666QLtwetD8NtL0zJMHwIXQeAtofl4AiFwpQgAIUoAAFKJAFAmb1JguyyixSgAIUoAAFKJDrAqWlpRjXrqAoEtFbs+X6+Wbj+dkkaLjmptWLlHWjI29iR2h7qR2RkEQGN0rAMLao7SrhNGu2qruwWmS1x20G+4xVsX/T2Sa28Qx37JK+pkYyTL1s/8Fh+DZ74dso3aK3HEZvWertuJYCFKAABShAAQpYTYAtDa1WIswPBShAAQpQII8FCgoKULKyFJFrqjUXFysKqLJZtWrV4mStqBLVO4HuX0lLPVnCH3bA6W5ByfY64JVO+KK9h33vdANPVsNlBg0zkTstAJ9fgpOyBGVcRK/cTh8a1Deb/I9mBDzt99SiTTpQVz3YiraXa+eWxuQU+YgCFKAABShAAQosqgCDhovKzYNRgAIUoAAFKDCbgNOxBmDQcDamJXk+Mn4NNjnyok2CIseqe/0Y7Luq9Janzm0teO1EG9Z+uwnHDgJVTjU5ikyE8pQbAy9JV2SVN/mLBfdSzPCsnktnm4qdbfC8skNP3/2KX7o2u+MTmGxJbPsoHZnNA0bX28sq4dtXha4zKnDoQt0bTXJbh7ptLrnlQgEKUIACFKAABbJDwBaRJTuyylxSgAIUoMBCCIRCITidzoVImmlS4IYERkdH8a9nz6Hg5jtvaH/utHAC1y+HcZO9AGvvumvhDjJNylpYAnDSNdme2JpwJAy12lHmmGavea4elzEQJX3VJXrOi+r+HM2r79UqVAU6EfnxtmmT+c3D3532OT5BgaUWGP6zHfjD/UZgfqnzwuNTgAIUWAqB5YUF+Ms/zr+6aWK1aynceUwKUIACFKAABSgwSUC1YiuUitnENQ225TcQrJmUGh9kUqDg2hU4XeWZTDLttOyOFK8FmezEUZp2EnPfUCY1sd9o+notW0PPrmI0ygQoxy5MHzCce8a4BwUoQAEKUIACFFh4AbY0XHhjHoECFKCApQXY0tDSxZO3mQsEAvjiqysoWHVz3hpY7cRV12R8FcQffec7VsuapfMT/mgIobIKVJSlCHpaOufMHAUoQAEKUIAC+S7AMQ3z/RXA86cABShAAQpYUOCmm25CRLtkwZzlb5Yi2ghuvplB3Lm+AhwbKxkwnCsat6cABShAAQpQwBICDBpaohiYCQpQgAIUoAAFEgVWrFiBkpKVmBhl4DDRZSnvR6Qsyhg0XMoi4LEpQAEKUIACFKDAogpwTMNF5ebBKEABClCAAhRIV+DWW8rw6edBmep2Vbq7cLsFElDB25KSEthTzEa8QIfMu2Q5EUreFbnlT/ia82ac2/2c5fPJDFLAFPjen6w17/KWAhTIkABbGmYIkslQgAIUoAAFKJBZATWrd0HkukyIMprZhJnanAVs0lXcddutc96PO1CAAhSgAAUoQAEKZK8Ag4bZW3bMOQUoQAEKUCDnBVy33Qbb6Nc5f55WPsGJq5dRVGDDmjVrrJxN5o0CFKAABShAAQpQIMMCDBpmGJTJUYACFKAABSiQOYFbbrkFkFl7I9e0zCXKlOYkYLvyNdyu2+a0DzemAAUoQAEKUIACFMh+AQYNs78MeQYUoAAFKECBnBa43e0CRsM5fY5WPbkJmTG5qBBQs1kv2RL248QpGdtyzouGHo8NXWfmH3AeOlSL2kNDc84Bd6AABShAAQpQgALZLMCgYTaXHvNOAQpQgAIUyAMB1dqwUI1tqF3Og7O11inaroRRfvvtS5upoBfbPb03lAd9NMwi+w3tm7xTYP6xx+Qk+ZgCFKAABShAAQpYWoBBQ0sXDzNHAQpQgAIUoIASKL/jDtiuhIixiALXL4dRUly8tGMZnveitnKPnPUeNL+lWvpp6H+1GTabTf5q0fVhvAWi783W6HobWt/06VLFbqB5fzNq9e2r0PNr1WJVg/e5ZjS/2BpbH0tnPIye52qj6VSh64N4+nqC8k/4VE90PxuqdnUhaAYTh31orVH5qkLrq51ofaYTv/sX2XZXD8x2stoZ47G5i5kmbylAAQpQgAIUoIAVBRg0tGKpME8UoAAFKEABCkwScDgcKCkpxvURBg4nwSzQg8j1cUyMXMSd5Xcs0BHSTLa8Bq/1t8nGz+P5Ryrhe7UeO45uQ2A0gtBQE5q3udF3XgJ5H7Si6okhHA+MYvTsERx4QgKEsh6l8jfiwWuXRjHYU4XGrV16AC98qgtd+51oDxnrm7d16+v7ZV3jcKORvq8FzdVG+rHcDvfD6WlE48kAImMhyBZwP9EnTwdx4JYq+B45jtFLXlQFunDgFS8u3lGJwKFG9Ku8yNJ/UNLeXInMtH000uS/FKAABShAAQpQYKEEGDRcKFmmSwEKUIACFKBARgXuKi9H5HJIgjXXMpouE0shMPIlbne7YbcvfXirQo1puaUCbruGoZ974dlWjMH3vRj4TINHsn58KIj+nx2A5/U2bHPZYd9Qg9BnH6OmTIbCPAu89lITKkrtqHxkt2zfDb9q5heQ9ad3o9KRsH7Ej56fAN37GiDJwLGlAUeeBLqOxscy9P+qB9jZjYZ7JU9FDjTsl27Tb3dh6N+OoxVNeO3722AvdaFuX7uBaveg/Wmg7R1JY3wInYeA9sdVrrlQgAIUoAAFKEAB6wsUWT+LzCEFKEABClCAAhQAVqxYgXIJHAYufCkRHel3ymVBBCZktuTltgjcEjS0wqJ35T0VzYlkSeVKU/9pDrT2dcNdYVcxQAkqxnNrL3VCS67lytiGbn1vCSbGN5XgX3S9dE1W6bgc8Sc16VfsdjlVQ0J90YZli40SMIwtKneVKNFbwLpQbB7T7tQDmmqz7T84DN9mL3wbpVv0lsPolWAmFwpQgAIUoAAFKJANAmxpmA2lxDxSgAIUoAAFKKAL3HrrrShZsUy6KV+kyAIIRMav4fqlYaxbe9cCpH6DSY6r/VSYUFoRSnfjgKMSNQ/Voe6BCnjrGuGHA5UP1cD7ls8YO3D4BIqdTvRHA31pH9VeicYtQMc7xniIkDEKu94GajzxIGHFfXXAK53wSTBRLb53uoEnq7H229tRgwPoP2U80f/TJviinZDt99SiTToyVz3YiraXa9k12aDjvxSgAAUoQAEKZIEAg4ZZUEjMIgUoQAEKUIACcYF1a9fCpo1g4uqV+Erey4yABAzvlNacJSUlmUkvA6nYHdLSTyZCaTw0hLrXB1D9VJUxUUnxJoQOHkfDBmnr93gXXitthFNNeHLLdtTJ+rpyoFj2TGiAqD9Sj1Ovt6Ph6DHYd0XTlzEK3W8M6OnILnpLRvvGJhw7CFQ51YQnMhHKU24MvFQjrRUr0e3rRrvHqa/vOK3aQ1bCrbc8lO7KbzTJYwl0bosHIFWaXChAAQpQgAIUoICVBWwRWaycQeaNAhSgAAUWViAUCsEprXK4UCCbBL766it87Pej4CaZVblwWTZl3bJ5jUjAcPWKIlRUrLNeHvXWhpKtaPffcDgs4y065G9yVrUR6S4s3Y2T10/eapZHciyVPiR9h5pIJdUyEkZYDuUocxjPjgfR99ZxbH+0Th8PUTvViWIZunA0slsPWvperZLJUToR+fG2VKnp637z8HenfY5PUGApBK45b8a53c8txaF5TArckMD3/mTtDe3HnShAgekF2NJwehs+QwEKUIACFKCARQXWrFmjT9SBry9YNIfZla3rl8NYFhm3ZsBQUapgYTRgqB6q2bRTBQbtMuFJqvVqn7QXOY4KBk4bMFQJlcrzZsBQPZZJUbS36uEursWBF5slYLgHbb+sl4Chhp5dqkWiD8eemT5gqJLgQgEKUIACFKAABawmwJaGVisR5ocCFKDAIguwpeEig/NwGRX43aefIiyty2xrbs1ouvmU2MToCGyXL2Ljxm/pk83k07ln9lw1BM8MYTAgrbcrt8NTbjSDDH80hFBZBSrKkppFZvbgTI0CFKAABShAAQpkXIBBw4yTMkEKUIAC2SXAoGF2lRdzO1Xg7L/9G66MRWBbxWlpp+rMvEaNCzkRDuKb3/wmSkun64s7cxp8lgIUoAAFKEABClAgNwXYPTk3y5VnRQEKUIACFMgbgbu/8Q2sKJjAxKUv8+acM3GiE9dGcV0Cht8QPwYMMyHKNChAAQpQgAIUoEBuCbClYW6VJ8+GAhSgwJwF2NJwzmTcwYICal63f/3tWWiRQhSsutmCObRWlswWhuvXr9fHB7RW7vIzN5wIJXfKfbC1Y9FOpnhZIb7rkanCuVCAAhSgAAUWQIAtDRcAlUlSgAIUoAAFKLC4AjabDd/65t0olhaHahZgLtMLTGiXcT0UAAOG0xvxGQpQgAIUoAAFKEABgEFDvgooQAEKUIACFMgJATNwuHJZASJffQHV+pDLZIGJK19LUPWCPoahmoGYCwUoQAEKUIACFKAABaYTYNBwOhmupwAFKEABClAgKwU2fGM9nKtKgNDniIxfy8pzWIhMT4x8icJrl7DxW9/CqlWrFuIQTJMCFKAABShAAQpQIIcEGDTMocLkqVCAAhSgAAUoYAjcdeedcN92C65f/D0mtJG8ZolMXJeWl0GsLIxg08aNKC4uzmuPzJ68hh6PDV1nNGhnOmGzdUKTA4TP+eA7r+5xoQAFKEABClCAAtkrUJS9WWfOKUABClCAAhSgwPQCt956qx4g83/yO0yMXc3LCVLU+IVqjMfbbr0Ft99++/RYfOaGBUZlTxUetK+rx8BpuZX7/qNVqNIGEflR5Q2nyx0pQAEKUIACFKDAUguwpeFSlwCPTwEKUIACFKDAggmobrjf3lSJ1StknEPV6vBa/rT+mrj0JQquXMT6inV5HTD0f9CJKpkoR4152XLohB7gUy+48K97ouvrceCnrWh+sR8YH0JrzQH4x42XZPC9A2h5a0h/oJ3vR0uNkY7N04y+M2FjI/Pf8AC63xlE8P0D2PSUrNy3Cb/w/gK1u3pgbqmd6dEf58+r0MThLQUoQAEKUIAC2SjAoGE2lhrzTAEKUIACFKBA2gKFhYUSOKtA+e0uQCZIUcG0XJ4kRbUunPjyMzjsRbjn29/GmjVr0rbKtQ21U51YX92Pzs9GEQkNwr5rO/a8F5SI4QlUb21Ey8kARi+0IrTvALpOBPWAovdoL8LRoGEo2Iv+YRXi09B95w74vyetB2WCnY9fcKD+e72xAKRy08IBdOz3w3H/Xhx7wQM8ewR/Wf0dBA41ov+8Idt/sBGBzZV6a0RjDf+lAAUoQAEKUIAC1hVg0NC6ZcOcUYACFKAABSiQQYGbb74Z99zzbTiKixCRoNrE6KUMpr70SUXGrumzRhdpX6Fi7V1Yt24tCgryu6rnP+kFtlQhNNQP70k/ircAXR8MIvxRP3xbutFwrwv2Mg9aT7YBAdXRGHDLf/FF3Vcdju1ouvAxWlwB9L3Zha43O2TDpLEhzUF/iuxwu9zwuCtgt3vQ/jTQ9o60VpRWjJ2HgPbHJaDIhQIUoAAFKEABCmSBQH7XJLOggJhFClCAAhSgAAUyJ1BUVIR1a9fiG+sloHNdtT5TE6VcztwBliClyPUxfdzCCZkt2nWzQ1oXbsrr1oVTikDF/aSxoJoPx7O/F0ceq0DgdC+w1RHb1G6X+6diDyGNNI1FxQvVMh7EgVvWY/vPpHuzaxNqH98bCzIaG0z/7/YfHIbvKS98H/TBu+UwtpdNvy2foQAFKEABClCAAlYSYNDQSqXBvFCAAhSgAAUosCgCaqzDjd/6Ju6643Ysu/q1BA8/z7pZliPj0rJQJjm5PnweZauK8Z3vbMZtt922KH7ZchBnmUQMAw5sf6gGdY9UQztajy4/ULFtN3CoE76wOpMw+l7YA+yUloPjGgLwwi89mDHuR98TXrhV4HA8AAkz4tjrz6PhgW3AeWOcQ1k1/aIZIxfa76lFG1pQ9WAr2l6uZdfk6cX4DAUoQAEKUIACFhNg0NBiBcLsUIACFKAABSiweAJOp1OfKGVt+e2wj1/RxwK8fjmMyPXri5eJOR5JnxH5qyAiMoberWtW4o/+6Du44447oMZu5DJZwPVIO7rv3wOnPhFKMerDh9H5qLQyvacRx14CqpxqYhMn2s9G97NXok3GI6y9U9YvWw//kx4jyCfrW6Wb8Q59exva/ZXwnGpG45sfQXVSNhskYovRZdleVgnfvip0nVGBQxfq3miS2zrUbXNFD8QbClCAAhSgAAUoYH0BmwzmHLF+NplDClCAAhRYKIFQKAQVOOFCAQoAly9fxoXhYVz88iIK7SWILF8Jm13+JOi0lEtkTENEulFHro7AvsKOW28pgxqjkUt6Alo4DE3GGnSUxsJ7xo4jsl66Jts/6YHt7lGMRpr0AKA2IsE+uz3eTTl6GJUO1PZ668PoSrMrc3JW1GQq0ed8r1ahKtCJyI+lleI0y28e/u40z3B1tgkMtsqYl4u0FC8rxHc95Yt0NB6GAhSgAAXyTWC6ak6+OfB8KUABClCAAhSgAFauXKn/rb3rLly8eBFfXgzh0hdfoKh4JSLLimFbLn9FyxdcKjIxgci1UdjGZNzFq1dQWFSImyW473TejuLipAk4Fjw32X8Au0MCfalOo9RYr2kBeTa+hT05uBjdV6UTW2arRevPa+jZVYxGmQDl2IXpA4axNHmHAhSgAAUoQAEKWEiALQ0tVBjMCgUoQIGlEGBLw6VQ5zGzSWBCAnhfffUVwvJ36dIlXL8+gYLldkwULpcurCskiLgMtsJlN3xKKkAINT6h/NmuXwOkVeH18TEJXpbCsWY1Vq9ezUDhDeumuaMWRjBsh8sVDxymueesm4U/GkKorAIVZZlPe9aDcwMKUIACFKAABSgwDwEGDeeBx10pQAEK5IIAg4a5UIo8h8UUuHbtmt6N+fKVK3J7BZpMeDEuQb5CPXgozctsMrZgQQEikC7N0q3ZHAdG7+AcmYBUvoAJGTNxYlz+lz6s8sTyFStQIi0IS6WlY0lJid7acTHPiceiAAUoQAEKUIACFKBAssBsHSuSt+djClCAAhSgAAUokNcCy5cvh/rjWKB5/TLgyVOAAhSgAAUoQIGcF2DQMOeLmCdIAQpQgAIUoAAFKGB1AU6EYvUSiudvMSc6iR81d++VO4px/zdvzd0T5JlRgAIUyGKBgizOO7NOAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKLIAAg4YLgMokKUABClCAAhSgAAUoQAEKUIACFKAABSiQzQIMGmZz6THvFKAABShAAQpQgAIUoAAFKEABClCAAhRYAAEGDRcAlUlSgAIUoAAFKEABClAgWWDoUC1qDw0lr+ZjClCAAhSgAAUoYEkBBg0tWSzMFAUoQAEKUIACFKBArgnY7UBAy7Wz4vlQgAIUoAAFKJCrAgwa5mrJ8rwoQAEKUIACFKAABW5AQIP3uWY0v9iKWpsNNlsVuj4MRtPR0P9qs6xT62vTWA/43mzVt696rAVd73nhlsAhFwpQgAIUoAAFKJANAgwaZkMpMY8UoAAFKEABClCAAosmED7Vha79TrSHRjHYU4Xmbd0Iy9F9r9Zjx9FtCIxGEBpqkvVu9J2ffn3wvRZUPRHEsbMhePdvh/ftRTsFHogCFKAABShAAQrMW6Bo3ikwAQpQgAIUoAAFKEABCuSSQAB47fRuVDqkWeAju+FBE/zabgz93AtPXSMG3/cCdk3WA8eHfgct5fogHB90oOaNj1G9wSFb1qHrBaCJ3ZNz6ZXCc6EABShAAQrktACDhjldvDw5ClCAAhSgAAUoQIG5Cowm7lBkh1v+0xe5Ufc09Z/mQGtfN9wVa+BPud6OwQ9k+/uLY6nZHSrMyIUCFKAABShAAQpkhwCDhtlRTswlBShAAQpQgAIUoMCSCthhL5WJTByVqHlIgn/aEJqLN6H6bGTa9dt/4EHzz46g/aEmOGT7rqd8cL++pCfBg1OAAhSgAAUoQIG0BRg0TJuKG1KAAhSgAAUoQAEK5INAvG2gebYSMJS7da8P4LizCranjPV1B4+jYYPcn27933jR/nM3nLZmMyHUcSKUmAXvUIACFKAABShgbQFbRBZrZ5G5owAFKECBhRQIhUJwOp0LeQimTQEKUCCnBMLhMOx2h/xNPq3p1muyPUpl+xl+rv/Nw9+dnBgfWVZgsLXDsnnLxoyVO4px/zdvzcasM88UoAAFcl5ghqpLzp87T5ACFKAABShAAQpQgAJzFnA41MQmU5fp1tun2X5qClxDAQpQgAIUoAAFrCPAlobWKQvmhAIUoMCSCLCl4ZKw86AUoAAFKEABClCAAhSgAAUsLVBg6dwxcxSgAAUoQAEKUIACFKAABShAAQpQgAIUoMCiCzBouOjkPCAFKEABClCAAhSgAAUoQAEKUIACFKAABawtwDENrV0+zB0FKEABClCAAhSgQB4IcCKUhSnkK+UV+OSv9swp8Y23rcLWtTfNaR9uTAEKUIACFMhFAbY0zMVS5TlRgAIUoAAFKEABClCAAhSgAAUoQAEKUGAeAgwazgOPu1KAAhSgAAUoQAEKUIACFKAABShAAQpQIBcFGDTMxVLlOVGAAhSgAAUoQAEKUIACFKAABShAAQpQYB4CDBrOA4+7UoACFKAABShAAQrkqYDmg81WBZ+Wp+fP06YABShAAQpQIOcFOBFKzhcxT5ACFKAABShAAQpQIOMCRZUY9HWjwp7xlJkgBShAAQpQgAIUsIQAWxpaohiYCQpQgAIUoAAFKECB1AIa+l9tllZ9NvmrRdeHQX2z/hfrUf/TfmOXYD/qPfXoD2rwvngAXYcOoErfvh59Z8KyjVrfjJYXW/U0VOtA7Vw/mj0qTRtqn+lBcFwlpeHEoZbosWxofcsXTf8EWqLb2moOwDesVgfgfcOLgNpvPIye52qj+1Wh6wMjjzjnRf1jLWh9xniuapd5HCNZ/ksBClCAAhSgAAWsLMCgoZVLh3mjAAUoQAEKUIACeS7ge7UeO45uQ2A0gtBQE5q3udF3Hqh+cjf69u1Ax/sn0LFzB/w/aEW1CwifaEXz+y54xyIY7KtA/eYmDEmQMHyiCx37gzh2uguecR/q794Bz88CiIyFsNveCPcPvcBHfdi+K4zBSxFELhyHt6EK/cMaenZuh3/fICKRCI7f34uqH6tgpYbuV7oRlqBh/34nGocbjTz6WtBcbeRRk2Bi39sdKN7ZjtELA6g61IiuUyqIyYUCFKAABShAAQpYX4BBQ+uXEXNIAQpQgAIUoAAF8lRAw9DPvfBsK8bg+14MfKbBIxLHh6Qln6sagf52tDy4HS3uw+j/W/UMMBoAun/cBJcMwlP5SCva0Yf+jyRqKOtfO/0aqu9xQftkAF7UwHlhEN6jAwgXy76HjiPokKgjutD4zAH0nbajNzCK6jI7XDuBvoZGHDjUB/vOXoy+VK0fyw23tDL0o+cncsx9DXBJV2XHlgYceVJSOTqkciN/h7H3gUrYyzzYe9CD3hN+fV/+QwEKUIACFKAABawuwKCh1UuI+aMABShAAQpQgAL5LCBxOflf2vVpCGsOtPZ1o77CoYvYi02YYki8LrrUwKVif9FFwoWwSwBRhe9iS2xUb0lVWgM6trSiu68WDglEjl74GO07XTj+syasdxej55yG6hdG8fHpdrjCx9G0eT2KG/piSamuyRKPhMvIkr5ek8aEbpczvo15z67OJJ5TczVvKUABClCAAhSggBUFGDS0YqkwTxSgAAUoQAEKUIACImCHvVQaCToqUfNQHeoeqIC3rhF+FXgb7odzWwte++UxPH+0EfWHVMs+oNjtRct/NsYiDJ/xohV12L5xcqDOXmoE9Cruq0HdI3WoGPGi8a0AtA8PoPiJE9j+SBPa/6kfbZJeYOQrdCwrxomi7Wj6UTuOn3geeFu21Y8m/9gr0bgF6HgnOv7hsA9dbwM1noTIpbktbylAAQpQgAIUoEAWCcR+Z82iPDOrFKAABShAAQpQgAJ5IlD3+gCOO6tge8o44bqDx9GwIYyumh3As8ew+4FqaKe7Ubx5E/p2SntCCTLi5/Htn+8bRKXUeKMhPSOR8joM9BxHldMWVazD8UAdHI4hCUBuQrGt0Vi/pQ2DG2+D/d3nsb6yGNG1aHt3MNZeUMKaaDh6DL1uOeYuY7emNwZQVy6tIz+Sx1tizSH1J92T45fGDvyXAhSgAAUoQAEKWFDAJgM6RyyYL2aJAhSgAAUWSSAUCsHpTNGNbpGOz8NQgAIUSEcgHA7DbnfI30xbaxJM3IOqvsMy2UkYWtEs22uqy7OMQ+iYnKgmx9LG7XDIeIaxRW07IhuXOpC0ubGJTIii8gjJo0MFLue4/Obh785xD26ejsCV8gp88ld70tk0ts3G21Zh69qbYo95hwIUoAAFKJCvAmxpmK8lz/OmAAUoQAEKUIACWSTgcCQMGjhDvsMysYkmATwV3EsI+aXeQyKQqQKAdjnWlH31baesjacrtWpHWXp5jO/EexSgAAUoQAEKUMC6AmxpaN2yYc4oQAEKLIoAWxouCjMPQgEKLJJAOBiUmYpd+uQni3RIHoYCFKAABShAAQrkpABbGuZksfKkKEABClCAAhSgQH4KOBKnTs5PAp41BShAAQpQgAIUyIgAZ0/OCCMToQAFKEABClCAAhSgAAUoQAEKUIACFKBA7giwpWHulCXPhAIUoAAFKEABClAgSwU4EUrmCm6wtSNziTElClCAAjks8L0/WZvDZ8dTy4QAWxpmQpFpUIACFKAABShAAQpQgAIUoAAFKEABClAghwQYNMyhwuSpUIACFKAABShAAQpQgAIUoAAFKEABClAgEwIMGmZCkWlQgAIUoAAFKEABClCAAhSgAAUoQAEKUCCHBBg0zKHC5KlQgAIUoAAFKEABCiy1gIYejw1dZ7SlzgiPTwEKUIACFKAABeYlwKDhvPi4MwUoQAEKUIACFKAABSYLjMpDhgwnm/ARBShAAQpQgALZJ8CgYfaVGXNMAQpQgAIUoAAFKHCjAue8aP1pFzp2VcFms6H+RS/C0bT8H3SiStap9S2HTsQCf+FTPaiNrq/a1YWgigiOD6HjuQ50/bRZ3972WAeGRqZmaro0p27JNRSgAAUoQAEKUMBaAgwaWqs8mBsKUIACFKAABShAgQUU0MbDOLCvGY5dXkRCg6jYX4vGN4egnerE+up+dH42qq+379qOPe8FgeF+OD2NaDwZQGQshBY0w/1En57D/p+0wOvYjVFZ31vegk2P9cQCjWqDadNcwPNj0hSgAAUoQAEKUCBTAgwaZkqS6VCAAhSgAAUoQAEKWF9gXDoP7+xG070uwFGJ1hNt8D5xHB+d9AJbqhAa6of3pB/FW4CuDwbh/1WPvn2D2r7IgYb9vcDbXRjS+x83of37Hthlfd0Lx4Gj3dH1BoN/mjStj8QcUoACFKAABShAAan6EIECFKAABShAAQpQgAL5I6DBs2VT/HRHJYi4pdh47JYbCQZq44BHgoNH3BXQTgeAjRIwjC0qWlgJp96mUG7N2rQKRspi1/9N+CdFmgnP8i4FKEABClCAAhSwrABbGlq2aJgxClCAAhSgAAUoQIGMCxQ54ftJG3z6QIZheH92ADXPeOAqk+hewIHtD9Wg7pFqaEfr0eUHKu6rA17pjG4P+N7pBp6shsuuwoMt6P61MSLi0NFOCT42oiIhauicJs2MnxMTpAAFKEABClCAAgsgYP42ugBJM0kKUIACFKAABShAAQpYUSCAKqfNyNiW5zH4aKUEAdvR/SsnnLY9xvpHDyPwaIV0PW7CsYPe+PZowkCoRrYZgmpE2LXVCWMPD3qH6vSWhtF2i3A9kjpN4wD8lwIUoAAFKEABClhbwBaRxdpZZO4oQAEKUGAhBUKhEJxO50IegmlTgAIUsIyAdqYTjR9Uo/dvKxCWRoIOR0LTQMmlJiu1IjscpZPXYySMsPRMdpQ5jHPRfKivG0C3twl6QqUOCTCmPs1p00zY/DcPfzfhEe/OR2CwtWM+u3NfClCAAnkj8L0/WZs358oTvTGBaao2N5YY96IABShAAQpQgAIUoIClBcY19Knon7QJdETjf4n5tcvKpHCh8bQEBR2liVsC/qNG12S1z0zLtGnOtBOfowAFKEABClCAAksswJaGS1wAPDwFKECBpRZgS8OlLgEenwIUWFQBLYzgiF3GMEwZGpxDVjQEz2twlc8cMJxDgtyUAhSgAAUoQAEKWEqAQUNLFQczQwEKUGDxBRg0XHxzHpECFKAABShAAQpQgAIUoIDVBTh7stVLiPmjAAUoQAEKUIACFKAABShAAQpQgAIUoMAiC3BMw0UG5+EoQAEKUIACFKAABSiQLMCJUJJFUj8e+cZGfPr4k6mf5Nq8EFhtX4b/6Tu358W58iQpQAEKLLUAWxoudQnw+BSgAAUoQAEKUIACFKAABShAAQpQgAIUsJgAg4YWKxBmhwIUoAAFKEABClCAAhSgAAUoQAEKUIACSy3AoOH/z967QLd1nXe+/wPwAfAJPiSRkiiLsmSbst2KTJyp1EknlldWY6lxbqQkd2yNk2kk+04bN21sNW1jLq91Hau907HqGTuarmWbaVddKWvdVPI0runOZFmZSTKWbxuLaiyLsiWLelAkJZEE+ARIAjj3+w5IiqQA8AWA54D/bYMEztln72//NgARf3yPpd4Bzk8CJEACJEACJEACJEACJEACJEACJEACJEACNiNA0dBmG0JzSIAESIAESIAESIAE5kgg1ALDaEBLaI79EcKRegNNp0NofcmA8Z9aEl6Y6HzodBOM+iMy0nzbzbnneyX7kwAJkAAJkAAJkMBSEGAhlKWgzjlJgARIgARIgARIgAQWTyCnDmdaDqPWM9ehYh1V8Kv94hmcyalNeGGi8x6PFzgVTHhdshN61fzFxmQj8hwJkAAJkAAJkAAJpI8APQ3Tx5YjkwAJkAAJkAAJkAAJpJVAJ5r/phmd4RCav7MP+77biJ2GeBCK92HTu12xmcNdOPLkTjlmYPeTB3D0FKDSYaClGc3/HEDLS/uw/7XWSStbX9tvPZ44rye6fnEkNm79bhz4/mHgQREOw61o3HEAbeHYpV1vHMD+H8TGCbUfx/4daofc6vfh2OnA5Pi8QwIkQAIkQAIkQAJOIUDR0Ck7RTtJgARIgARIgARIgARmEAjh8AuHERDhLnCqCU3PlOF5fxBnjjRg31Y5Lr2bf7cae9p34YLfj+c+DRwbH8HfdRj7L3aidmsdDn61CV2W+NeFpq8eRO29tZg4j65mVN+3B7tOXID/x88BbzVP2tD81lFrbj3g7zqK493qRyg21TyAtkfPwDRNXHjWh92PHqWH4SQ13iEBEiABEiABEnAKAYqGTtkp2kkCJEACJEACJEACJHALgWpUx451At97/xuo83lQ98VvoB6H0RbqwjuvAIf/dC9qfT7r+PPSOxYiXC19PPBt2YOncBBvXpQTZ9+Ue89hzxb1RYyd73r/HfEsPIy9v1YLX2UdnnpFhMPOWHjy5NzSW/vHfBg92HvjAvZXdeLYayJkvnZQTolnIhsJkAAJkAAJkAAJOIwARUOHbRjNJQESIAESIAESIAESuJVATMYbP57jEQlPRLyQhC/LIU/RRH8RCSfuTvzOqcKeF+tx6PXjOP7DfdjxN7um9fGflRHWTrnKI/dPTVwsY09kCI+lS5Sw5S4cWLEB2/7yBEJVm7Hz4acmRcabV/EeCZAACZAACZAACdifAEVD++8RLSQBEiABEiABEiABElgIAU8dvrEFaHojViU5JALgPhlnQt+bGLL+y8+j5dsP4IFn6vHc5+smDlu/a+/fC7zShJaAPpTcid9/YjynYQgqSbZ1yeFwG459VcKYdeBwJ47Kr7dffhqPfHYr0H4zX6IcZiMBEiABEiABEiABxxCgaOiYraKhJEACJEACJEACJEAC8QioVqcBwNPFQI88llDhN94GHm+wipJ463Zbl3vHvQMtkU+PVG3D4S/L7289h3pxJJxoet5zzzfw9p+H0FCmhU282P2CnFXPRREkn3u2Hjtr5HjuBrQ9psHOseON3wIesPobeL6tDvWn9mHPa2fj2KgXsJEACZAACZAACZCAPQkYkqDZtKdptIoESIAESCATBPxSHKCsrCwTU3EOEiABElgaAlJdORAISU7CKYrgPC0JDQbEz9AH32Soc2yA0KBkSPSIPDkRpjw+biggrokSyiynxPtw/OCMPuNHrV/vPfSlqQ95PwGBwdvvwuWHH0twloeXA4ESTy6+8Curl8NSuUYSIAESWHICSf50WXLbaAAJkAAJkAAJkAAJkAAJLJ6A5Dj0VU73Q5zvoJ4iEQDjXOQpindU9cIpAiX/4o5DjodIgARIgARIgATsToCehnbfIdpHAiRAAmkmQE/DNAPm8CRAAiRAAiRAAiRAAiRAAiTgQALMaejATaPJJEACJEACJEACJEACJEACJEACJEACJEACJJBOAhQN00mXY5MACZAACZAACZAACZAACZAACZAACZAACZCAAwkww4oDN40mkwAJkAAJkAAJkAAJZBcBFkIBhms24OLXvpFdGztjNY9+6rYZR/iQBEiABEiABOxLgJ6G9t0bWkYCJEACJEACJEACJEACJEACJEACJEACJEACS0KAouGSYOekJEACJEACJEACJEACJEACJEACJEACJEACJGBfAhQN7bs3tIwESIAESIAESIAESIAESIAESIAESIAESIAEloQARcMlwc5JSYAESIAESIAESIAEUkog1ALDaEBLaJ6jhlux09iJ1vlet9D55mkeu5MACZAACZAACZDAUhFgIZSlIs95SYAESIAESIAESIAEUkcgpw5nWg6j1rOwIeerGWKR8y3MSl5FAiRAAiRAAiRAApkjQE/DzLHmTCRAAiRAAiRAAiRAAmkj0Inmv2lGZxhoe+MAdj/ZiP07DPE+NLD/lZbYrOEuHHlyp3XMEO/CI7/ommZN2+uNaHy9bbxvGw58pRGtMh66TmB/fWwsY8cBtHRrl5vzIRzAke9MjNuApp+Mj3u+Gbu/sh+N43M2PH4EXToeGwmQAAmQAAmQAAk4gABFQwdsEk0kARIgARIgARIgARKYjUAIh184jICIcqHASRx7oRnbX/TD//5hHHy8AScCwPFnqrHn7C50Bk1c+FE99tz3DbRNEfFC3c040C4drRbA0R82IxQO4ciD29D27TMwTRPv3H8UDX96XHrcnO/4M2XY073HGtffsh/7tlfjWLv0EDHx2A8Pwvvg8wjeOImGV/ag6dTE+OPT8BcJkAAJkAAJkAAJ2JQAw5NtujE0iwRIgARIgARIgARIYH4EqlEduyAUQv2Lh7Fjo08e78Kr8vPkx2fR8mfAq617UKUhzJ9/Dp3nuuCDP3aN9bMa9ZiIb/bIaDqeB1UPAsce2YMDMo5EnAAAQABJREFUg43Y8eBRBO+qleOtsfPhNhyRcQ+feyQ27pZH8OZje3DorVbs+HRQ+r2Kpz5bZ4361IsiVJ5ow9OfrLdm4w8SIAESIAESIAESsDMBehraeXdoGwmQAAmQAAmQAAmQwKIJeLfIEDmxrIXeKaN5ijzwzOEr9O3PBnHh/edRFXgHe+/dAO8jx26OIt6EnfKoSvXJ8RYSZ8LqqrKJhzd/e2Ii5M0DvEcCJEACJEACJEAC9iUwhz+T7Gs8LXMegUgkgmAwiJB4AATlFgqNYHR0FGNjY4hGJD5I8g4ZhguGS/VsY3yBJiQeSP6PwoxGrTxE7pxc5ObmIj8/D16P/MEvN6/Xa/12HhVaTAIkQAIkQAIkkE4C6u8H913YLh6Dh3/Wikfuqkfg3YMo29oqIcVP3Zw61ImWNpUA69D1k2NolnvPI4CDuWWobg1i7x9ux55Py98cWzsROlIXu85Thz0iSh58vQXbHxMPwu4WNP0Q2PsXVcDgzaF5jwRIgARIgARIgAScRoCiodN2zGH2qjg4ODiI/oEBDA0NY2x0BO48Cftx5yIqN8PtgVFQJCKhG25XjmqGszZLPBTxcSQaxogIjf39QRj+fpjhUUt49HoLUFxchOIiuRUXw2UJkLMOyw4kQAIkQAIkQAJZQGAiuLh64o6sacK7cNfLb+NoTQOMx2ML/d6JTlTlxMKTtXvtg8+hftMDMF6QBw/uxQ4JQA5JAPOuHz2NDXVe7Ildhud+dGZKELMHj7wl41bfHHfv35zErrWS0/CsXLBlYvbYxVPtGh+Ov0iABEiABEiABEjAlgQMSegsblxsJJA6An19fQgE+tDX34do1ISR54WZky+/RSDMyUvdRHFGUk9Ec2xEbiG4JHF5eCSIgoJClPlK4fP56IkYhxkPkYDf70dZWZwwOqIhARIggSwlEApIqHKi0GT5+0G+84SGLk9rcjAwqNf54JtxyuonAROBgMQle+R80bQr5/TgvYe+NKd+2dxpuGYDLn7tG9m8RDz6qduyen1cHAmQAAmQQHYRoKdhdu3nkq2mv78fPb291h/Lrtx8RHO9cJWsgmtcJJyDA2FKbNewZiNfvtHXm7RcuY2MDKMrMIiua9eRk5ODyopylJeXIy8vvQKmZQB/kAAJkAAJkAAJ2I6AJ67qN25mjqQ9iSf6SSoUn9wSNvmr2lc5JbFhwo48QQIkQAIkQAIkQALOIEBPQ2fsky2tDIfD6O7uxvUb3RB/Qpj5hTDkr2zDbV8tOjoqocwjQ4gGB1Eo4csrV1RaHoi2BEyjSCBDBOhpmCHQnIYESIAESIAESIAESIAESIAEHESAoqGDNssupmohk2vitdfT042cwlKN34GRm+Sbd7sYPsOOaHAARmgALkSxauVKrJQbGwksRwIUDZfjrnPNJEACJEACJEACJEACJEACJJCcAEXD5Hx4dgqB4eFhdHZ1SeGRAckoXgJXQel4leMpnRx4NzoaEvFQCqmIF2LVqlWoqqpy4CpoMgksnABFw4Wzc9qVWqlev/jR27DcRkZiFezVc1ybS4pSyRu7VaV+sjKVVb1eq9hHJU9txOqXIxXsNcWDx5OPgvHK9QUFBVYKCKsDf5AACZAACZAACZAACZAACTieAEVDx29h+hegHyo7OjoRkAInEKHQXZid+Xq0gAqCskYREVevrsaKFSvSD5czkIANCFA0tMEmpMkErWA/INXr++TLnqEhSc0gop/mnTXdktNVKthDxD9DKtdD0koYcylfL3Za9dOkcr0pN0TGrJsRker1oyMyjBuFhUUoLSlGkaSA8CTL/5amNXNYEnAqgeVeCKX/7nq0f/HfzXv7WFhk3sh4AQmQAAmQAAnMmYB9k8/NeQnsmE4CHR0d6OzshKuoDK7KdXP+UJlOm9I1tiEfpJG70qq83HGjB9du3EDNmjUoLZUQbDYScCgB9SxT4V9/6009yiKRiFXZ3JRspNoGRFBST2ItFKQ39SDTW36+vCbYHEdAC1NpBVf9oseqYC+FoUwp7GCUVomop+WhxJlwEauyxEUVG62xYkWndDjxUYQZHsOAVK8fvOGHebUDbrcLvlKfVOf2WSLiIqblpSRAAiRAAiRAAiRAAiRAAhkmQNEww8CdMp1+4LzS3o6oOx85K26zdXGTVDO18jPKh+twaBBtly6jpLgI62pqGHaXatAcL+UEVBwcHBzEoHiUDQ0NY0S8zDTE1KXijniTmRJ6alqhpy7r+IR01D9qIjw4CsOUUH0JQUVUvMhE/ImIJ1meCIcF3gIUFxWKB1nslnLDOeCiCajo29PTg95ev+U1GM0rWJoK9hNiorfYEiaj4sHdLbb1Bi5Z4c0VUr2+QqrXeyWkmY0ESIAESIAESIAESIAESMDeBCga2nt/Mm5dNBrF5ctXEBBPFRSVwyUVkZdrc0mBFy3y0j/Yi/dPn7aEw4qKiuWKg+u2KQHLoyzQh/6B/phXWZ5HQk/FQ9DjEw/hvGl5R9W7TF/jwyIqhoLDlnfhyEgIAb8fxSWlcGnl8/GcdioumlImCH1BCUPtgys8CogHmYpAXsljV1zgRaHcvCIkej1eFBUWWKKihqTONczVpkgdZZYKhVrBXgVjU96vXL5qywNQvf7s0NSD261e3CgTL+5RdIuofePGR5ZouGrlCvFALLODmbSBBEiABEiABEiABEiABEggDgGKhnGgLNdDGtJ28dIlRHPFQ6WiZrliuGXdLhFP1WunvaPLygu2/rZ1UixAxBQ2ElgiAn0SdtrT22uFoLpVJJTXrFGySpwJJU+dtJmhp8HhIQxKXjt9jY+GgnBb4aoi5GjIanEJcvLKJFepiORT2swxJk4ZZgQjkrtuNBzC9YFheER8LC2MonQ0Cld3L8IjQRTIWGW+UpSUlECLY7ClloDmFLx+/Tq6pIq95iQ084vhKl6V2knSMJqRKyJ2brn1hVRIPLkvy3vqlfarqK5axRyyaeDNIVNBIIQj9V4EXwti7z2eFAyY6vFSYBKHIAESIAESIAESIIEkBCgaJoGznE5p3kL9AGoUV8LlWb7ehYn23CXCDMrXiDdXD05/cAYbatczP1ciWDyeFgKah/CG5NlUrzLLC1C8gN2aZ1Q8A+MJfEER8/r8AfT3BaS/9BDh2/D6kFNaLfYZ064xRmKVc+diuGHIfPkiBMotp7Aco1J1vFvmut7XgxLJ/1nmW40Rl4muwBC6rt+AWwT2ivIylEtIKotizIVw8j7Xrl2zqtgbeRLeW7JSRLj8aXuZ/Gr7nJ3w5Nbq9R03etHR2YXV1VUUD+2zRbRknEBQfkuih5S1VI+XMsM4EAmQAAmQAAmQAAnEIUB3qThQltMhDVU8d/5jXPdL+GH5WgqGs2y+q7gCURFePvroI0vAmaU7T5PAogmMjo7iypV2/Mu//Auu+QdgirBvlK2GSyqZq2A4swXEA/Hjcx/h8sWL6AtJZdtS8UAsr5FQ5QoYIhze6oc4c4T5PXaJeGXI2C5fFfrF2/CS2Hrlei+Cbq/lsRwtqsT1/iBaz36Isx9+BK3UzDZ/Ar2yr798/zS6evqsgibGuGA4/5HsdYV+IWPIcxTFK0Q81C9lPuBzxF5bRGsmCYRw/KV9VvoFw9iJpne75EwATV/ZiSOnJ2RF8SR8fHfscagNhx5viPXf0Yjj7RN9JgfkHRIgARIgARIgARKwPQF6Gtp+i9JnYDAYxMcXLiDs9sAlhT/Y5kbA5ZWcbRJm19F1HUEpNKFFUthIINUE1LNQPYDVs8xd6It5FWrOwThNw1V7um+gRzwR1fPM9Eh+wgznI1UB0+0tAeSmoaftUjnX6/Fg5YpKeERsh9wYkhpn82Y5pAVONIQ3NDoGs1DEWQktz8ZmqDd3nhSgGhnC5fYOdEuuxpq1a+mdmo2b7dA1tby0Gw+8tQudwVfhuXgMZXXVKLtiouG+ZjS8eByPvLwD6DqOPa+EcPLFEJq2bkDz199BcGwr2t5qxOaaRnSOPefQ1dNsEiABEiABEiCB5UqAnobLdOc1t9nZDz9EOE9zYbG4x3yfBobmjhNvL7/kdDv/8cfzvZz9SSApAc1X98v330fPYMiqXq6vUSOBYNhz4zo+PPMBevsGYYi3nyFfAGRaMJy5GA091S8igmYOLl6+bIXTRsSrWY8bUqhDvQ81JPVffvk+uru7Z17Ox+MEVDQ+Kx6aQUNyAap3aZYKhlM3XJ+7hqSCGIzm4APxOlTRnI0Elp5ACK3fb0b9Vi/O/LgZJ6+EUC9GvdPahfqHjwKvHEKrZHlofaMR+JOn5Fwnjp0C6n1+HH+rGW2DuoKDOMm3u6XfSlpAAiRAAiRAAiQwLwLx3VbmNQQ7O42AhgdeaGuDW8MWmb9wwdtnVYgVhkMD3WgVAfaOjRvhdt8aLrrgCXjhsiMwJFWNL125grGoFDHWKrhW1dn4GPoDAVzr6oQpArarTCvmaoVaezUVCU15j+kflurOkgZBq+X6fFLV2fIq80Dz2V291o1rkvtw7ZrVKJWciGywqlqr2DoWNcTDtCahYJzNrNS7VgXEru4e+KU6uBagYk7MbN5xB6xN0sFqRtiQ/hfyofHYYVTX+oC1O/A97Ebzz04Aj7fgcOs2KVDUZi3Iq39lS9EoFG3D0SNvok7qTXU6YKk0kQRIgARIgARIgAQmCFA0nCCxTH73SMjXZREl3Oq1oh/c2RZNQIvHjAz2Wvna7ti0Ebm5uYsekwMsPwLqVdbZ1WXlHnRJReNEbUxyHHZ2XJXQ+BFACpEstVdhIjsnjmvJFaPAB1NyH17v8WNgcFCq5VYhJydnXDyswpiEM7dduozSkmIrJFXPLdemxW4ui2DoLlkhXuCJnwfLgY8hlaEh3rPBoQDOtLbitnXrUFFBz/jlsPf2W6MH8h0IOn112PF58TEMtWKfdzO2nzOxVYzd/T+eRvV2EQu3fA/+u+Rvq7DHEhh9m7Zhxyd9CJ09Am/dcZwZ226/pdEiEiABEiABEiABEkhCYPl+MksCJVtPxQTD9lk9mLJ1/elcl6tIqsgO+vHhuXO46447LEEknfNx7OwhoIVOLkjRkpGwCXdFcq8yf28PukQwdKkXlhQuclKzPCGl2MVwsE9yqbZJpdxqFBfLp3BpE5V0+6Q6eZ+EpKo4VFZW5qTlpcTWi5cuoa9/EDkVa5N6maZkMgcNol6HZq4HV652yvMnaAnLDjKfpjqcwEQW0V0vn8Q7ZVLY5JuxBe168R08sjF2v+rTe7ALB1D77G6I76F4Gtbi+ZbDKKsvwxOxLvjeiU7UyV/dLeOP+YsESIAESIAESIAEnEDAkAT6phMMpY2LI6CVNy+J98psIY+Lm4VXR0Q4zIuGLOGQocp8PsxGoK+vD21tF2FKJWQVRhI104ziqngIDwc1zE3yG4qAksqmYdGFhYWpHDLpWNGxEMwhPyrLy1BZWTmtb3QkCAx2o1zCmNetWx5FhsbGxnBeilKNRl0wxMOQLT4B68+V/uvw5rpx+4ZapoOIj4lH00wgIKkhPB6f3OYwkYQmByQ3radI+s/ha/r3HvrSHAbN3i79d9ej/Yv/bt4LfPRTt837Gl5AAiRAAiRAAiQwNwIshDI3To7upcLERfFk0sIEyXKkOXqRNjHeXVSGMVc+zkn+NjYSSEZAi51oblGISJRMMAwGpdjORx9haMyUYhhrUi4YJrMxXedcInq6SlaiV7zq2js6pk2jxT4M8aL0D4Vw5uxZjIxIGHYWN62O3CrrDEGKnVAwTLrTmkfWkDyywyKutkqBmJBUr2cjgUwT0LyscxIM1bAcj5XHdS6CYabXwflIgARIgARIgARIYC4E6Gk4F0oO7qMfSLVKskuLnuQXOHglzjLdlOIoRXku8YbZ4CzDaW1GCLRfvYqe3oAIhiulgEniHJj9fQFcvXxJBDbJb+dNX367THsaToVsDgeQZ0RRU7MWbtf077EiksvOkHBmfR0VFxdPvSwr7g8MDOC8fMFgSHVslzf71pfOTYpKcR3IbdPG2zPqJZvONXFsEiABEiABEiABEiABErAbgemf0OxmHe1ZFIFwOIzzH1+QZPqVFAwXRXL+F2txlMHQKFQcYiOBqQQ0b11PYACwKh4nFgx7e7rRcbU9VrQojYLhVNuW4r4WSRmBG20XL0Hfs6Y2ywOzqBIfSa5QTbGQTU09wD8SD1L1LqRgOP+ddUlIPwrLhOE5qPjKRgIkQAIkQAIkQAIkQAIkkHoCFA1Tz9Q2I2qxgWheAT+QLtWOiBdZt1SL7e7uXioLOK/NCKgw1idht4ZUhDWMxG+/3devQavouqTKuSFVh7O9ubylCOfk46LkXR0bmy4cujyFyBEOly5fsZhkAwsVDM+fPy+CcLUUgclcLslsYDd1DSq2GiWVkg7iPAalKjcbCZAACZAACZAACZAACZBAagkwPDm1PG0zmhX+2Ddo5X+yjVHL0BBzbAThnnbU1dWhoIDh4cvwKTC55EuXLiMwFJz1NXnjWhd6/RKWq8Kiaw6Z8ydnWPidpQxPnmp1JDSAHCkcsP62dchxu6eeghkehRnowprV1VixwrnFQtQrTj0n3bK/TBkxbYsX/CAaGoTZ340777yD77MLpsgL7UBgORdCMSVnaevTz9thG7LaBhaNyert5eJIgARIIC0EEru6pGU6DpoJAn6/erf1AMXO/WCdCU6ZmEMLz7hLV0jBi4uZmI5z2JTAVQlTDwwOzSoYdt+4nnHB0E7I3J5ihN15uHKl/RazjBwpFCJC29WOTsd672qO2fMffyzvCcwxe8sGL+KAy1Nk5YVUj8NsL5yzCEy8lARIgARIgARIgARIgATmTYCi4byR2fuCsbExqEeTCobGjKIC9rY8e63TAhYREUIuSegl2/IjoFWSu3v9UvRkVdLF+3t70COh7IZvVcY8DJMatEQn3RKqPCY5Dq+035oP1BIORXBTUTEQkEIyDmoTOWaNwnKGJKdh3zRU2fSUWHl8o9FoGmbgkCRAAiRAAiRAAiRAAiSw/AhQNMyyPde8X5APT6787M+D5qitK6qAP9DnOKHDUYxtaKzmrrt6tcMSDJOJ+AP9/bjW0WF5IhquxMVRbLjEtJikxVGCo2Fcu37jlvHVe1eF1QsXLkDDqp3StChVJK8QroL0VcF2Cot02ekq9GHMlQfN58tGAiRAAiRAAiRAAiRAAiSweAIUDRfP0DYj9PT0YCgYgquo3DY20ZAYAUNy9UCEQxV16QWzPJ4Vo6OjUhH4ogiBK2HkJBYCNZzy6pVL4/3ylwecuaxSKuMGRHTtE0F1ZnNJcRiXVB1WcWhmxeWZfe3w+LJ4GY+I85u7qMwO5mS1Da7iCgyL4HxVRHg2Esg0gdDpQ1Lk6hBCCScO4Ui9gabTiXskvJQnSIAESIAESIAESGAJCFA0XALo6ZgyEolYIXumhL6x2ZOAVfRAxA4tUsOW/QS0UrKGS85W7KL9sgiGIpC58llFd+qzwqouLVw6OzsxIgLszKbhqFod/oIIs3Zu+mWOv0+ET+aYzdw2FVdKpe1uaH5fNhLIJAHP+t04+f5ueJJMGpRzlAyTAOIpEiABEiABEiABWxGgaGir7Vi4MZYQJcngXXnJ/lRd+Pi8MkUExAu0p6fXUWGVKVr5shqmq6sLoXBkVs+yzqvtiBg5ErLqW1Z85rpYV454XkpO0M7OrriXqFe1hjErbzu2UCgkOWYvxXLMqrcxW0YIGC6pvC0ireb31Ty/bCQwJwLhLjQ9uVM8BQ257cSRU+N5U7tb0Cjegdbx+v043j4u+U09vqMRLfo2FDiJw6+fsaYLtR/H/h0T1+3DsdPOysM6J2bsRAIkQAIkQAIkkPUEKBpmwRZrXq9eKbRgMCzZ9rup3lPqVRavyIPtjaeBcyKgFXI7NDSyqDJp//6+APol9NYoSd4v6SDL4KRWVB6NRNHT2xt/tcK5Q7wRBwcH459fwqMXRbRySVoCzcPIllkCmtfXFG9U3QM2EpgLgdYf7MW+9j0ImiY6T2zHnvrn0SX/HVjRgK4nTyI4FsTJbwMP1DyBNhEYG+V4y9ffkeN+vLnlABq+fgyhQCcOPtMmnoQhHK55AG2PnoEp41141ofdjx6lh+FcNoJ9SIAESIAESIAEbEUgx1bW0JgFEWjXAgqSAN7Km7egEXhRJgloIYQR/6AVOldWxhxnmWSfibkuXbkCl4RHGu7Eb6+a17KzQ8LUrZBVfncz6754fbh+rQtFRUXIz8ub1l05K2/NF3r35rpp55bywbVr1zAiYqertHQpzVjWc7vli7Rhfwe6pSp5ZSXF+WX9ZJjD4qvXbgN+uAdPfDeIRx7cgc6BOlSdP4JG7MKFh+vhkbf0+of3Y+8j1Tj+Pz6NA9iBM7+z1Tq+41m/pEqQScJHx2fyYO+NC9j8fhuOvfYOTr5xEKg+PAcr2IUESIAESIAESIAE7EWAn1bttR/ztkars4ZCIxLeyA+m84a3hBeYEo56taNzCS3g1OkgcOPGDYyGRSiapUJuV6d4ImolXcnJxzY7ARUGjcJSXLt2PW5nzW8YhtvKfxi3Q4YPalhye3s7UFiR4Zk53S0ExNPzypV2hinfAoYHZhLw3f80/OdOYkdVAIce24zq4n04NaQZCOvgnfgOKKyPgbISLW41NR2MB2W+KY/FE/HAig3Y9pcnEKrajJ0PPwV0xq61BuAPEiABEiABEiABEnAIAYqGDtmoRGZ2SK4vU7xw2JxFQItjROCS/IY9zjKc1iYkoN6DVsVWCT9P1oYlnYCGJrPKeTJKt57TMOWgVJpOGIYslYk1LFyrUS910/QDWsU3WdXspbZxucyvoeGGiPjtsidsJJCMQMt3Dew54cGux57C0Z+9I11Pwrx9m/gTHsCb4/kNA6ea0YSnsO2T9XL8GN4Zz1N44gUvyr7afHP4cCfU5/Dtl5/GI5/dCrS33jzHeyRAAiRAAiRAAiTgIAIT3506yGSaOkFAvQxHx8Ly4bRo4hB/O4iAqQUepIBDRQW9kRy0bQlN1WIchlRANnKneJvE6X2tq1O85qTKueS3ZJsnAREOr13vtsKUZ15puHMtIbb9agdu31A783TGHgcCAQwHg3CXr83YnJwoOQEV6Pu6L2NgYADFxcXJO/PssiVQ9/Cb6Ny0GcZXYwjq/+RN1BXVoen491BdX4Z942QOt/hR5fHNOL4Lb3fukkIoTcAWrzgh1qHxW5L/sCxWAGnXt55C/al92PPaJ7B72RLmwkmABEiABEiABJxIwJAEzaYTDafNwIcfnUPQ5YGG5rE5k4ApSdPXra4Ccxs6c/8mrA6Hw/jlL38Jd+W6pLkM1cOwq+sajLI1E5fa4rcWUyosLLSFLbMZYQ52Y1VlOUpLSuJ2jYo4tPH2DXGFxbgXpPjg6Q/OIOwphcvjDJ4pXr5th4sGB5AfHkbdXXfa1kYaZgMC4RACAamOnOOBb1q4cey4x+ezchhOWir9JRsBPEXxvywKyZcIEIHRo6fD41cl+br+vYe+NDn0crtjStXq1qefX27Lzvh6H/3UbRmfkxOSAAmQAAk4mwBdXRy6f1qhNSjeLBQMHbqB42ab4jnVlSBPm7NXtrys16IXmscwWfETJXJd+pnMP7qoJ4eZX4Qb3UnC+iVfqKZtWIqmBTc07QAFw6Wgn3xO/bdyNByxClAl78mzy5qAioWVvumCoQIZP67FUKY1OZ5IMNR+lsg4oSfqtTOvnzYYH5AACZAACZAACZCA/Qjwzxf77cmcLLouBRdUcGJzNgGXpwgjQ344ydPL2cRTb73mMrx+/Tpcs4SjqpdhVPy6XSJ6sS2cgEvCv6OhAQk1HZRQ01tZqng7LN6GmvtQqy1nslk5ZqXwRiwgMZMzc665EDC9pZagTM/uudBin6Ug8Ikf/d1STGubOT9pG0toCAmQAAmQAAmQwAQBehpOkHDQbxUpeqWAxmwVWh20pGVt6qyeU8uajv0Xr95l6lk2W9GLbhX6RbRgWzwBU6pO9/h7Ew8knDPtwavPA1OqPLvyJJ8Zmy0J6Os0LMq93++3pX00igRIgARIgARIgARIgATsRoCiod12ZA729Pb2wi0eaobLPYfe7GJ3Aho25+/tAdOL2n2n4ts3F69frZg8NjYm4mJmPd/iW+z8oy4pOBMKjSCUoFKyVsvt75dCUaOjGVusipSm5DJkszcBLUCVaUHZ3kRoHQmQAAmQAAmQAAmQAAkkJsDw5MRsbHvmhngZqncaQ+Bsu0XzMkzz4LnyvZb3S3m5VNVlcwwBrcYaEc+l2bzLVBQG0wmkdF+N/AJoBXnPypW3jGtIQn2XiEPq/bd69epbzqf6gNoRsULP6WWYarapHm8iJcRShK+nei0cL/sIZHMhlDONB+e9YSzaMW9kvIAESIAESIAEUk6AnoYpR5reAdVzJqQFUFiZM72gMzy6mVeIHvEgZXMWAd2z6Cw5Ck0ziv4+PwzxKGVLHQFDQpT7+voTDmiIV2e3fMGSiXbtOnPMZoJzyuYQAV89hNlIgARIgARIgARIgARIgASSE6BomJyP7c4GAgHxSiu0nV00aHEEDBGB+8VbSfNVsjmHQMAvr8dZQo775TXrltes4aJjdyp31nDnSlUZN4akkny8ZuTmwzRcUjBlIN7plB0bkRDpISm6wkr2KUOa9oEM8UL1i+AfiUTSPhcnIAESIAESIAESIAESIAEnE6Bo6LDd6xWRQosAsGUXAUPEjRxvoRVumV0ry97V9Pf3W8VPNLw8WVOh36TQnwzRgs9FRRgc6E8sCkbFg7e3N71FLzTHrOFlrsoFb+ISXGi45P22oFieG/TuXgL8nJIESIAESIAESIAESMBBBCgaOmiz1AttaHAAmsuLLfsImLleBAJ92bewLF1RQD1DZc+SNQ1N1tcsvYOTUVr4OZfwHxAvv0RNuQf6AolOp+S4lVZglhD1lEzEQVJKQPMCd/dQNEwpVCcPFmjDiVNdC1tBOICWd1sQkqtDpw/BMA5Z9+MPFsKRegNNp7U3GwmQAAmQAAmQAAnYnwBFQ/vv0aSF6tmUI2GsmuSfLfsIaI62/oHEOdqyb8XOXlGfvB5dswj4gxIam6N9xJOULfUENEQ5KoVoRhJUSTZyciFlajCcIIR5sRbpuOFIVArheBY7FK/PMAF97YZCwYxW2M7wEjndfAh0NWNb/dH5XDGlbycatjagNSz1rtbvxsn3dyPZO0JQrqRkOAUf75IACZAACZAACdiaAD/J2np7phvXLwJENDfZn6LT+/ORswhYAodUYA2F+HHC7js3NjaGsNw0b16yNjgwCJOv2WSIFn1O9yCYTBTM80K/cElH06rJYLqIdKDNyJiWJ6qkD2DLNgIhNH/3AJpeOYAG+ZLVMHbj2Onxfe5uQaN4+umXr0b9fhxvl39v25uxs+4JgfAE9v2gVX6HcPylfbE+xk40vRvzQGx74wB2P9mI/Tti1+9/pQUIt+HAQ5stgA2/ewShwEkcfv2M9TjUfnyyr1G/76YN1ln+IAESIAESIAESIAFnEKBo6Ix9sqwcEAHCRQHCQTs2f1MNETgGk4Rbzn9EXpEOArpHLtmr2drQkKQTmEO/2cbh+cQETPE2HEwmGsp7Zl+aiqH0quA0i7dpYst5ZqkJaH5gP1NCLPU2pGX+wIlG7PtxFZrHTJw5Vovd9+5Fa6gLB1Y0oOvJkwiOBXHy28ADNU+grWoHvnf8ObHjaTz9xTq0vLQbD7y1FZ1BE/7Wvdi3tRrH2kVKFEHw2AvN2P6iH/73D+Pg4w04MViLp15+G/Vy9Zvf3gUEOnHwmTaRHUM4XPMA2h49A9M0ceFZH3Y/epQehmnZbQ5KAiRAAiRAAiSQTgIUDdNJN4Vj6x+doeCwCBD0NEwhVtsNZeZIYYfBIdvZRYOmE9CKvVF33vSDMx5FoxGMSdisQaF/BpnUPlRPw1AwsXeuvmcOD6X+NRUOhzEiXsFzEY9Tu2KOlioCRr5+STNgiTqpGpPj2INAsBM4/Kd7USV1quq+2IjncQzHf/zf0YhdePrhenhyPKh/eD/2ognHz4ZQW10FbKlFtSeE1u83o36rF2d+3IyTV0KWIPhOq3gbyuu9/sXD2LHRB989u/CqLPXkxRA8VdWoxg7Urpe/zybrYnmw98YF7K/qxLHXmtD02kGgevYvmuxBj1aQAAmQAAmQAAmQwE0CFA1vsrD1vSH50JuTT8HQ1puUAuNUANG9ZrM3gUHZo9lCk4PDQbhnCV+29yqdYZ3mNQyPjVq5DeNZbLjcEmbowsjISLzTCz42IN6LbnoZLpifHS60qtaLqKx7yZZtBHagSnTAiaZfK7gjmk2wDt4JYS+sj4EynyfmAXjKeijinvW/HAshEPKh8dhh7K71jZ+8+cu7Re5PjCV3Q5LTcLKF1atxA7b95QmEqjZj58NPQVwXJ0/zDgmQAAmQAAmQAAk4hQBFQ4fsVDAof2yKFxpblhPIyRPvJX6wsPsuq4eZIXuVrOk+qucoW/oJuGQvRkcTi4Iq8Ka6GIqmi4hyf9O/uWmeQXOO8ouaNENeguG91c3Y/1eSc1Ba4HSz5WH4bz73b8Qf8ADePCVpBfT4qWbxM3wK21RctAQ/lQk98BSJvuerw47P78Kuz9aiedcetMUpbTL9X2pxbZwmGnZCy6q8/fLTeOSzWyVvYqtOyUYCJEACJEACJEACjiNA0dAhWzYsoqHm7mLLbgKanF290yyROLuX6tjVRaNRRCQ01XBPcTGJsxqroA1fs3HIpOGQ7EWiCso6m753prrA0IDmtWToeRo2M8NDyh72iwDMlmUERPjD9xusYiZl9+7B08eeQ52nDk3Hv4d99WWx4/c9gcMtjVYIs8dXJhc8gT2vtGLXyyex/Zuxaw3vZvhffAePbIzxqZ4S8KHBxrGHHvFfbEHDp5tiHotb5IzM1fgtyZlYFiua8nxbHepP7cOe187i5nWxMfmTBEiABEiABEiABOxMwJBceVKvlc3uBM5++BFCuUVwMRzO7lu1aPvMvmu4bfUq+Hy3hkMtenAOsGgCKuh+eO5juCrWJh2r7ePzGMsvkTykBUn72eGkeloVFhbawZQF2RAN9qGiMB+VlZVxr48GB1DiDmNDbW3c8ws5+N7Jk8hZWWuJDwu5ntfYg4ApuUfNnnZs2fKr9jCIVqSAQAhNO55Aw7FXUR8OIJTjg2eK2IewhB0HxKdQ/o31TP3uZ8JTcPxYQAodeTwzrk1k3YxrJ7qFtFjSxBgJ+kz01d/vPfSlqQ+z6v6ZRsnrOM/26Kdum+cV7E4CJEACJEACJJBqAlP/XEr12BwvhQQ09M7w6jfhbNlOwHSJ11SK869lO7NMrm9sbGxWL0O1Z0zy7KGAb7EZ2RvDjdGxiU/kcWZUT8SR4TgnFnZIQ53duXkUDBeGz1ZXac7LqAEJbx9FXl7ylAO2MpzGJCUQeOtkLMdgkYh+M3tKERRf5S1Hp+Un1Evm9cVdgrd6FSYnW4I+k+d5hwRIgARIgARIgARsSIB/wthwU+KZpEJFLkMd46HJvmMicIQoGtp2X/W1CBEaZmsawpwjArCdW19/Pzz5WZB3UfYjHE6S01D2wdq3FG2GhjrPltMyRVNxmAwQcEluSvUgpmiYAdgZmUIqF3c2T/cuzMi8i5/kEz/6u8UPYtMRPmFTu2gWCZAACZAACZBAcgL2/kSb3PZlddY1B5FiWQHJ5sWqp+Ho9BTr2bxcp60tLGKgKdV4xTlp9ib97Nh6erpw6IW/wLlLHZZ5D+3Zhy9/7jOTpv7sp/8dL7/y2uTjiTu/8mufwR9+Y9/EQ/v8dhmIjEYS2yPvn5FIEk/ExFfGPaOiYVRep7NLx3Ev50GbEdCcl/TuttmmLNIc39TSyYsci5eTAAmQAAmQAAmQwHImYM9PtMt5RxKs3eXmx9MEaLLusIbLhZOFWmbdip21IC2EoqLhbE330Y4tIjncmg79R0sw3NzwSeTmuvCjw6/iw6sxATGZzb6qmmSnl+ycARcisi+JmuFyIRpJIiomujDB8WBI0kXQ8zsBHQceFgE4JHvKRgIkQAIkQAIkQAIkQAIkMJ0APQ2n87DvI5sKEOkEpiV6urq64C3wwldams6p7DW2iobizcZmTwIqGkoyu1mN00rYdmxdHa14/9wNrNl0N3b91g5c/dW78Fd/9bcYk5xuE+3Tv/Gb0Ju2y1eu4Onv/Al8tffgq5//jHXMdj+U9Sw1vVQ4TFXT/HfIj5MTLVUTcJzMEtCUEPTuzixzzhaXAAuhxMWS8oMssJJypByQBEiABEggiwlQNHTK5s7Bs8kpS5mrnd3d3fj8538LX/kPf4hv7/s/53qZ8/upV5R4g7HZk8CcC87bVDTs7e22wF499wGee/YDue/CXQ1bcWfN2luAR8wojrz6n63j3/7mPuTn2TX/oSGaoXzLkKQZcwsoTzLCzVNWMRwv//m8ScTZ9wwRDceGJVcpGwmQAAmQAAmQAAmQAAmQwDQCqXO9mDYsH6ScgE0FiJSvUwbs7x/AM41/hP2//39Zw4dcy8yjR/bajCYXQNLBnWPOkYDDX4ujozfFkSe++QfY9olNOHvyBH586qNbAFz8+J/xwYVr+OTnvoyayspbztvpQCY9O7XIzVyK4diJz0JtGRgYRGdnV9Lw74WObZvrxLs7lTkvbbMuGkICJEACJEACJEACJEACiyRAV4lFAszc5fYMdUzH+kfHhtD8j2+nY2iHjDm715RDFpKVZro1zHUWrzY7L7zQm2uZ95Vv/AH+1X2fxKoVHpx87//B5Y7rcnzzpOkqW//j6/9Nfvrwf9x/3+RxW97R/ZhFzDWROiFePYGt54EtYaTOKK3ifv/9n7EG/J//63+hqLAwdYPbaSTx5I+kMOelnZZGW0iABEiABEiABEiABEhgMQToabgYerw2LQQqK6rwi1/8An/7N3+OorTM4IRBUydwOGG1TrLRJaKhIWG7s7YkhTlmvTaNHVas3mSN/rOf/xNuSAqAs++9i5Ac2biuYtqsfYEAOi5dQcm6KtRUV087Z7cHJqJwzSYapnA/Upkf0W4sp9rzd3/1nyYf3sx4OXkoa+7ofpopfH5kDRguZBEEQjgk70kHT+m7KxsJkAAJkAAJkAAJOJcAPQ2du3fZb7mk9ZuDNJOlHJaPZ6nTNtAtlcznIhqacxEWl2DxFWVr8MXPfQav/+P/xJPfeseyYOVtd+LTd985zZqe7g9xuQ/Y9plPzirITbtwKR4Ia7fkpUvUNN9hKoW+TIZCJ1pTuo+//y8/x39+VT1Nl0ebLSfm8qDAVaaOgAe73z8p38Yss/QqqQPIkUiABEiABEiABGxCgJ6GNtmI2c1Yhp5n7tmpZGcPEThm8ZrKznU7Y1W5uRLea85eqMaqspzCkNhU0vnCw7+NP/6j7+CRf/swfu/3n8LTTz2B/Ny8aVMUldbij/74j/FlEQ1t3yS0NCcnyRuGhhOL2Ju6lt2ifkC8TH977x9YuP5VQ8wzNXXs7DkS33PtuS92tSpwqgk7nzxmeWmjvRk76xvRMqjWhnDk8d04dj6EM68fxclu8TQ834zdX9mPxid3Wv+2Nzx+BF2SFpWNBEiABEiABEiABJxAgKKhE3ZJbXRwDjWnILaNnZZXVHaLErZhvQBDLNFwDvnP1PPNtGkVbLcUfrj7ns14cOdOfOqT9VIVebpgqFhWrViJe+6+B5U2L4Citpoi4uapmJuoRcMiKiY5n+i6ZXg8LM/tP/3Of7BW/h9ffAn/38lz1v2Oqx2YWkRnGaLhkklgkoBvbS2aX2hCm4h/Xf98DM2nDuD4WREIB1uw5xWgbj3Q9swBtEmx+lA4gGM/PAjvg88jeOMkGl7Zg6ZTgcmxeIcESIAESIAESIAE7EyAoqGdd2eqbTYNdZxqYjruD8ugkZD19X06hrfnmJJbyyWiDps9CeSJwBYN36xAnMjKHBWxIrP3S3Q9j8+dgEteM7l5iUVBMxJGXv6twujcZ5jZM3s9v3t7unD8n85bC/6jb/7e5ML//SMPo7OnZ/Jxtt1heHK27Wia11PZgO+hGS3nu3DyZyex48v1OH6iFV2njwOP7UWdZkvYIjcra0JQ7ryKpz5bB09lPZ56sR5HT7Sl2UAOTwIkQAIkQAIkQAKpIZA4CVRqxucoqSJgU4+lVC0v3jgrqrbg0H/9r1i1cmW809l7TPY6J4cvTbtusO6NhjKqF6GRRNzNy8/HsIhVRmIty65LdJ5d4kmYNyO8euoiTBF5vUWpyy1mRrNXNCwsKsOh//JfMKYR+PLdxR/8/u9bKP/4/z6AiuLsLE1l5bxkSoipLxnen5WAD9tf3oU9Lzeh9ic78Pwb27G/5hCavtyE537Hn/xqjxSWCqXu/Sj5ZDxLAiRAAiRAAiRAAosjQGVicfwydnVUQsaWm+9ZRXk5Kj71qYwxtstEKkbl5PKlaZf9iGdHvseDkfAojDxvvNPWMa/0GR5k5cyEgFJ4Iip7kcyT0CWiotdTkrIZTZvmqkzFAgsLCvCvfv3Xbxlq+2f+NYoKC285nhUHxJOf3t1ZsZMZXUTdg3vQIvkLWx57G0fXbsN2PID9P9yBk9/3iR1878/oZnAyEiABEiABEiCBtBGgMpE2tKkdOCoeS8tNNEwtQQeNJgJHvBxzDlpB1puqwspIaARIIhqqsGj09Wc9i6VeoIYeq+CTk6zQSXgEXm9igXe+a9CckLN5ms53TLv2/+u//msMDQ+jKIknp11tn7NdmhIi2fNnzgOx47IiULUNz8mCg1/eLD892P7iDuBne1A37pA77R1ny7RHqKaj4bJ6qnCxJEACJEACJOBkAhQNHbJ7OfKBzZT8aIabsY4O2bKFmykiSH5+lnr0LJyKra4sKiqEf0gy3CdpHhGpomMjFPuTMErFKVO8DAu8iT+Ba+hpeEz6iNCbquaWEPWopoxIEp6eqrmWepx77rlnqU1I+/wqACctpJN2CziBIwnkVOHpKUXq6n/vTZiTaUA9eKRlIo3BXpgtN1dY99ibePPmQ94jARIgARIgARIgAVsTYCEUW2/PTePyJT+aGZYyfWxZT8BQT0PZbzb7EiiUME1zNHn4Wa4I/S7NfRgZte9CssAyQ/gWFiQW2c2xkHgZpk4wVGRadEU9HNmyhIDspVUVPUuWw2WQAAmQAAmQAAmQAAmQQKoI0NMwVSTTPI7mRwuNqvgwPcQlzdNy+CUgoEUbPLLfbPYloKKuVQxF9srISez96xUxa1jERcObysq99uWyFJaZ4s1ZUFCZcGoVd0tSXMDDk5eP0BhFw4TQHXZCvfg9RfyixmHblpXmfuJHf5eV69JFfSJrV8aFkQAJkAAJkEB2E6CnoUP2t6DAC0M+2LBlNwGNdIqICJLK/GvZTWzpVldSUiLehsNJDSguLoYxFkzahycXTsAUr1xJLphUZHeFRTSUvUpl82o4NN+PU4l0ScfSQjkeencv6R5wchIgARIgARIgARIgAXsSoGhoz325xSpLRJJk/mxZTkD2ON9Db1In7LKvtATGaHJBsLCoGNGR5MKiE9ZqVxvVi7CwaLzqQBwjTSlwERkJQsXbVDbL0zTKL3FSyXRJx1JPQ3p3L+kWcHISIAESIAESIAESIAF7EmB4sj335RarNIl/eCSExIGQt1zCAw4koKGWhYWpzb/mQAyOMNnn86GtrQ1uEaYMV/zvX3Lz8iT/XT4i4pFo5HFfU72xhngRlpYlCU0eGUJxSakVSp7KufVLHFOKqxipHJRjLRkBencvGXpOPIPAew99acaR7Hg4VlKGc99snNdiVkrKgN/cXDWva9iZBEiABEiABEgg9QTif9JN/TwccZEEXCJKeCSZ/2zFFxY5DS9fYgKGeBoWJ/GcWmLzOP0UAprTsKTUBzM0OOXorXdLRVw0RbxiSy0BDU3W6tTFSfIVGiLWVpSXpXZiGc0qTCVh0Vp1l83ZBDSHbI5Uw3a73c5eCK0nARIgARIgARIgARIggTQQoGiYBqjpGlI/HEelEihb9hLQSq9FFA0ds8GVFeUSopxcECwpLZ1VWHTMgm1kaFRCw4uLSxNapIJeJDQE9QhNR/OK97d6BrM5m4C+5xYkqb7t7NXRehIgARIgARIgARIgARJYHAGKhovjl9GrSyQvl4uiYUaZZ3Iy9XgxYDK3ViahL3IuS5CSfGgaqpqo5Ul4cr54CUdDA4m68PgCCKgXYZkviWgYHICvrBzqpZ2OVqp5EiWnIpuzCah3d6qrazubCK0nARIgARIgARIgARIggZsE0vNp6ub4vJdCAprMPyxFFbTCLlv2ETAtz6nUVnnNPkr2W9GKykrxJEwuCJaXi0fiLGHM9luZfS1Sj+scl1s8xJIUDRLeK1ckzne42NWpR7DmVGRzNgFN+UHvbmfvYTqtb31lJ3a+0pp4ilALdu9owtzfCUI4Um+g6fTcr0g8Oc+QAAmQAAmQAAmQQPoJUDRMP+OUzaA5lwoLiySvYfJwyJRNyIEySsAYCyb1nMqoMZxszgRWrFiByHCf5LeLJrym1Cd59SyPRH5QTAhpHicMyRFZUZ447DgqYcl5uTlpFYP0S5zI6EjSfZ/Hkth1CQiYkTBgRkR8ZpGiJcDvmCk75/C27ZnHaoLSdw5DzmNEdiUBEiABEiABEiCB9BGgaJg+tmkZubzMJznU9E9OtmwiYIr7aDg4iFLJf8fmLAK5ubkiYFUgKsJhslYhHokI9ifrwnNzIGCGJRRcBNhkuQqNUD+qVq2cw2iL61IkwqEpYdJsziRgiud+SQm9u525eym2OtyFI9/ZaVVa3/2dgzjwZCOOd02fI3DqCHZKASwtgtXweBO6VPnLEbnwrWbpH7vW2HEArYHYdaH249i/I9bfqN+HY6fHT0wflo9IgARIgARIgARIwNYEKBraentuNU5FpSjDHG8F4/AjWoG3uKQ0bfnXHI7H9uZXVa2CORyQ1AGJvQ3LRTSMioecKTnU2BZBQF4rlRUVCQeIjgThkn3QkPB0t9iXOBQN0805XeMbY5oXM7HHarrm5bj2I3D8mWrsObULnQNBNN7nR+MLB9DWPcUfsPs4yur3YM8/d0oOWz/2Yx+qv3psfCHHEPz0cwgG/XhzSyM2P3JEPAlDOFzzANoePSP/Lpi48KwPux89Sg9D+209LSIBEiABEiABEpiFAEXDWQDZ7XR+fr4UyvBa4oPdbKM9CyegRR20Ei+bMwl4PB6US9ENcyixJ4lhuFC5QrzfZvFIdCaBzFgd1RyCkVERBCXcO0EzggGsrq5KcDa1h/VLHK3QzOY8AppOIBIapne387Yu9RaH23Dkz4DDL+5FVZEH9V/cj+dklimSIdp+dgR48DAe+aS8t+T48MgzR4EfNqF1UOXBp/HEF+vlbzMfdjz5tngePo/WkAd7b1zA/qpOHHutCU2vHQSqk+RgTf2qOCIJkAAJkAAJkAAJpIQARcOUYMzsICouaU4vtuwgYEYiiEiYXFlZYiEkO1aa3atYvboakUG/pEiTPGkJWuVK8UiU3JV6Y5s/AS0mk6y4iXph5xhARRJPxPnPmvgKDU0vKCyk93diRLY9o97dJaU+enfbdocyaJh8GdEp01VNOp16MHl33IxQt/S4a+qXESop1qEsB/Bsqb7ZXx4DDfK4CwdWbMC2vzyBUNVm7Hz4KaCT7/vjOPmLBEiABEiABEjAQQQoGjposyZM1Q/EEcl/Z0YjE4f428EEolJ516quK3mS2JxLIC8vD6tXrwaGepMuYtUq+eA55E/ahydvJaCh3SoIJstlCPH0XLtG9iCDbYW8H/NLnAwCT9FUhhQUo3d3imA6fRhPLfZsAQ691WKtpOvHB/GE3Jta3KT207uAFw6hZdyZvOX1w8Bj21ElXuahU0+g6RexEy1vHAK2bEetyJDii4i3X34aj3x2K9De6nRKtJ8ESIAESIAESGCZEqBo6MCNd7lcKNPCC8EBB1pPk2cSMEQ0XKFFMtgcT6C6uhouKdKh1XsTNZ+8dnPdLnn9Ji+ckuj65XjcRBSmFJGpWrUq4fIjg70oLirIeLipCv5R8RRO5mGa0GieWBICcymmsySGcdIlIuDBIz85ibq/aLCKnFS/cNKyo9oXkw2r5Zfnrr14+0XxISwbL4TyzWqc/PMdVj/t9cR9ZbECKV8VofANERg9dWj8FvDAeP/n2+pQf2of9rx2FhqkPFWQtAbhDxIgARIgARIgARKwKQFDEjSbNrWNZiUhMDQ0hHPnP4arcl2SXjxldwIqLuWPDaLurjvtbirtmyOBvr4+tF28BKOixvoQGe+y4PAwLl44D7e8fg2XFc8Wr1vGjun7SaGE2dq1mcN+lHjzEoqG5tgIIv4O3HP33VCPz0y3S5cvozcYhruIeUkzzX4h80UHerCyxBvzDF7IALwm6wi0vC7FS+7bha1rRc4bbEFD8V40BU+ifqa6NxhAQCKTfZUzA5iBQCAAT5EPnilv6SE5Bsl1KA6JwETmiinnZ4J876EvzTyUFY/HSspw7puN81rLyqJ8/ObmqSHh87qcnUmABEiABEiABFJEgJ6GKQKZ6WH0A77H66G3YabBp3g+I9SPVStXpHhUDreUBLQ4RlmZfKAc7ElohregIFYUZaA7YR+eiBGISpEg9d5M5mWorGvWrl0SwVCtXLlCXsP0/HbEU1a/J41KMaJKenc7Yr8yZaSn+zC21Xix/7uNIhg2AM8+j7qZgqEaI6JgPMFQT2nqhKmCoR7z6LGJcVQsTCIYan82EiABEiABEiABErAbAXoa2m1H5mGPejRdvNwOo3zNPK5iV7sQiI4E4R7uxb333G0Xk2hHCgmc/uADhPNL4PIWJxz1wsfnMOb2wlVwq9dKwovScMKunoZmNIxo33XU1KxFoQit8VpUwpKL5IP4xts3xDudsWMfnTuPYeTJXpZkbE5ONH8CEcl7WZprYkNt7fwv5hVZTSAgeQdbz0nBk7LN2LqFHm5ZvdlcHAmQAAmQAAmQwJwJ0NNwzqjs11E9mnJz3azcab+tmZNFRqgP1VWJc7TNaRB2si2B2vXrEem/IZWSRxPauGZtDVT0MkdZVTMupOGAeIRVJBYMpQKuFiGpXX9b3MszedB6LUveRTabExAvw6ReqzY3n+alj4BvbR223r+dgmH6EHNkEiABEiABEiABBxKgaOjATZtq8hopvGDIhyA2ZxHQwgkuqX7NEDln7dt8rNUUAretk5yjA9eRKHVsfr4Hq0U4NLWPeNWx3SRgimBYkJ8nFW4rbh6cck+LWURFlN1Qux5ut3vKmaW5W1xcDK8nX0JfKRwuzQ7MPqt6Geo+FSTwWp19BPYgARIgARIgARIgARIggeVFgNlVHL7f6m3oyb+OoHxQZVicczbTEEFkzepq5xhMSxdEQEXhYCiE3v7rQGl8r9JSXxlGR0bglzBc+FYvaJ5suygiFcVzzTDWrlkfd2lmNAoIU81jqCKQXdrq6ip83HYRYIiyXbZk0g5LuJf33dV33DF5jHdIwG4EsrUQypnGg2lH/einlt7jPO2L5AQkQAIkQAIksAQE6Gm4BNBTPaWKT+aQP6E3U6rn43iLIxCVEMZ8CSsvL2el1cWRdMbVKmwVeXLFm/BGQoNXrKpCoRQ2MvuvJeyzXE5EJdzYJbd1wi1hE8GwsrwMK7QAiY2aCphF4mGqHm1s9iKg/0aWlZXRy9Be20JrSIAESIAESIAESIAEbE6AoqHNN2gu5hUVFVnVWk3JjbaYNtwfwLXeAAaGIosZhtcmIaDeLuagXzyoWLwmCaasO3X7hg3wyLttdCBxReU1NeuQn+NKKi5mHZgZC9JKyWawD+uk8ElubnxHeLPvGkqLvFhj09fQ2jWr5TUueSojDDefsb1L9tAKZRchd81qevIu2SZwYhIgARIgARIgARIgAUcSiE+dcmMAAEAASURBVP+pzJFLWd5GqwjlP30aZn4hjDzPdBijH+Jv//qnUtlzSsv14de/sAt3l0susMh1HD/69zg/xTmmYPW9+MJv/RpuBv6N4t1jfw/c9wX8Wk3elIF4dz4EzMEe8TAsgwq9bMuLwB2bNuLDj84hJMKhqzh+nr7b1tfi4oWPMSJeia5ie3nRpXu3LMFQvMHWiXjq8cx4Dxuf3BQPwyJPHtbfZt8wNLV91apV6O73AyXLaw/T/RxZ8PjyvFKROTc3d8FD8EISIAESIAESIAESIAESWI4E6GmYJbuek5Nj5ffCUHxvwxFZ5+b7d4oQuBM7H/wNrHMH8L//QYXEUfz8/1XBsBj3PfgwHn/86/jK/Zsx3PE+/v7nVyw6gY7zePf4P+CX3QEEhhJXgs0SlGlbhhY/McSTSsNV2ZYfAcMwcOcdm8TjMCLehN0JAazfcDvyXeKRmiScOeHFDj2hIcla+EQFw4ICb9xVqIdhsYR5376hNu55Ox1UgcoVkUItoSE7mbUsbYkGB5BjRC0hd1kC4KKTEmh9yYDxUkvSPnFPhgNoebcFITkZOn0IhnHIuh+3Lw+SAAmQAAmQAAmQgIMJUDR08ObNNF2LLhRI9c6IhL/e2tyo3LAaqyQ8a03Nnbj/UxKmFRrBaMc/48wAcOeDX0Z9jXq/ueHb9Ov43L2r4RWBCwji9Lv/Gx9cShxWeetcPBKXgIQsrqupgcvFl11cPsvgoAqHd0khhoJcAyqCJWrrazfAm6N9uqSLmahbVhzXoieG3NZLpel4gqEpVcbNQCd8hV6plGx/wXBiUzTEGuJZnKhy9kQ//k4fATOiAn0PbpP3XTYSiEeg9sGTOPPFuninZjnWiYatDWiVLASe9btx8v3diO8fPcswPE0CJEACJEACJEACNidA9cLmGzRf89bftk50vj5ER4MzLo2g44MPcf7sh/jgl+/iH37eARRJ8HG/KIYShFy7WsKUp7R1W3di9/Y75YgX/3rX17D3q/eDQclTAM3zrnqW+UqLrUT887yU3bOQwKbbb0dZUQFMfwfM8FjcFdbcth7F4nUX1T7itZaNTb0L8yIjqF2/Pm5Isjk2YjFaWe7Dbfre5qCmle01FQGSeJU6aDnONHWwWzwMVzIdhDN3LyNWB1qPo7lFcrOEW9G44wDaxlORdr1xAPt/0GrZ0PVuExrkCx/90mfnd44hEGrDgYc2W+cafvcIQoGTOPz6mZi93S1orI/1NXY0okW/95HW9pNDk2Psf+UEvRJjWPiTBEiABEiABEjAAQQoGjpgk+ZjouZssvJ9yQfVqR4uKgmef+9d/Pyf3sW7753B6Io7sfMLv55ECIxgZHRKQZRQBFMezcekZd9Xw+PcIozcJp5UbCQwQWDduhpUr6xEtPdqwjDWaglzrawoj/UZGZy41PG/zWhYioV0oyDPJd6D6+MWPdHXTbinHTVSWKS6utqRa1bP4hwzjOhwvyPtd7LRWsE6T/7hW83iJ07exrTb7u86jP0XO615mt86isC4aOjvOorj3RJ8LGLi3q37sL81CHOsEzv+bDee+5kXT738Nurlqje/vQsQT+iDz7SJENiFxhUNaPn6OwiO+fHmlgNo+PoxhE4dwobtx3HoiozhPwPP49vwxBvjamLaV8gJSIAESIAESIAESGBxBFgIZXH8bHl1WVkZBoeG0Ks50UpWWjZGJOz4N776Ndw13aEQ4UItdXIFl69FsG6Kt+HZt76Pn3bdia/99m8gX0dg/niL43x/qKdUpP8GNt15p+WlMN/r2T+7CaxcudLysGu7eAnRsVDcAikVlSvgyffgavtl6TMCV1H8IipOITWRv3DFihWoKC+Pa7Z65uaId+Wmu+5CYWFh3D5OOVi7/ja0trbCyM23bk6x28l2Wp72Ihpu2LyQsFMnr5y2z59AtYh/scDiakz9ckLvy/GcMmyTe3sefgLBZx7B9nOdqNtYJWKiX3rvEC9p6XN+fNbzx3FAjp35na3wyF/XO57148JF9TLcA2zZBr96NUpX7xag6Sdn8OrnZRw2EiABEiABEiABErA5AXoa2nyDFmqeFtvIF4EwInn0JlpEM3bPaDk1Ddgof/Oe+Ye/x9nrsZDmax/8BD+9AlT86l0xwXDGNXw4NwKWp6cIt+ph6HThY24rZq+FECgpKcE9d29GsXjdmep1OHrrC7WwuBi333EXCtxSIMV/VTxebu2zkLkzeY1pRmFKFVv32LBV8CSeYKjFgqI9V1DqzbWYZMPrpqCgAOsl/NqULw+UAVt6CZgRcRUT1utFrM3Pt77ySu+EHD2rCKjYZ7WYjih3q/D0gB9n/mIHAj87hM2bqrFvPGxZ+4XGPROta6wfkxfKIw/KfOOPVYOUt+2QOIzXP3MUb36l9uYlvEcCJEACJEACJEACNiYw8eeRjU2kaQslcLsUDWg9exbRiOYtTNS82L77cxj9+3/ET//b3+Kn490qNv8GvtAQ81KMHXKLr6KUSXHPcFVMNCyPywfX6ygv80EL1LCRQDIC+rrSqsA9PT24cqUdUU8RjKLyad6p2kfzHAZ6e9DV2QHDWyJeh+qpZyQb2hbnovJJ2Qz1ywdoH1atvLUohRkVMU0qvxuSi1ULiKi3dDa1iooKBEMh9PRdB0qrHLu00dExjI6OSOqKUYzJ/ZGxMYTHJPxaws0juodyM7Vujz4lx+v3GC7N7+ay/u3Q57Cm0MjTW36e/M5DvhTvcqeyOJR8UVMleQyz7Tnk2CeNUwwPh9ApfoBtXUBdVRuOfbUZ1S8/L6HHJ2CUPY8zY0fx1P27sM1jYFt7CK9a3okS1jxVNFxfL36Ge/DO6QDqtvhw4gUvtv3kKDofE8Ww04dtn98BnyiHxx734vD9F7Dj15wCh3aSAAmQAAmQAAksZwIUDbN49/XD2e0bNuDDD8fw21/7t3AlcroorMHnHnkMI/0B+WAL5MkH+4KZVU/yNuLfP74xi2mldmkaXlmYnwv1+GQjgbkSUHHJJ6+/9var6O2+DKPQB1dB6bTLfeUVKCopxTURDgesPmVwiYBox6Yh11oZOS/HhaqadfB6p3rhxCyOShhpVDwQNVx57ZrbpwmldlzTQm1aK/kpR0YuYFDeG4xi+3+RoCJgcHgYw8NBDAWHMRIascQ/IycHpkv+dLBuEnLtKZD7LrhEGJQOohdOF7HFN1YExKjoiVFEzAhGpaLxYHAMriH5x0bExmh4VATFHCtMv1C8MrWCtsdz6/NkLtxN+aKmVAoMVVU5V5idyzrZJw0EPHV47tl67KyJPX/3PjYetOyrx5t/0obNUvE+1nbgzVYNe5cwZbSg4dNN8P9AHm7xSihzHZqOfw/V9WXYZ3Xehbc7d8nzcTsO/6wMZcYTsSG+/Co6v1wbu8+fJEACJEACJEACJGBzAoaEUI77A9jcUpq3YAKBQAAX2trgLlvNnFoLpjj3C6MSEp5vjqHurjvnfhF7ksAMAkOSl/RqRyeGVckX4dDl1fyj09vw0CCudV3DqHh8WX08t/aZfkX8RzpXKkOBo2ERmMS70CVFQNTT1ieVhGc2qziIVHpXoWjN6moRi0R8Wgbt7Icfia9RzriXqL0WHBoZweDgIAYGBhEKBeHO8yDqzoORM35TYTANTUOKTX3ORMYk9H7EEhn1+VhcXITiomLRJCcEm8ST6xc1BTkGNm28PXEnniGBGQRaX9mJzYHnYP6hljXR8GF5vxXRejJMebx/aDAgrwk5JV/qTJ6b8DKc+fW7eC1afYumi98h+VsslOOBb8bx8SmsX+899KWpD7Pm/pnGg2lfy6Ofui3tc3ACEiABEiABEliOBGb+qbMcGWT9mtVzSfPqXZawR5evWoTDmW6EWY8gYwuMDPqRJ5WS77jzjozNyYmyk4CKJnds2oj+/n50ijAY7AnIJ9YSGAXFlseXrrqgsAi1txdhQPp037iO0eFYH1eBeh7OLrSkmpwWoDBGh+CKRqTqc4WEiPqmTaFhyNFgPwy5qUhYXbtehKGFCZ3TBnbQAxW1PvzoHEbkywW3FV6+tMZryHF/fx8C/QOIhCPiai5CR24hcgpiBXcykZDCEE9DvWnTZ61W1x6S3J7D3X50XO1AYVGRJTyXlMR/rkQHeuAxoiIY8n3XgsgfcyLQ+oN92Px4M54/cXiyvyeBoOcpErGwaLJb7E6iv6BFGLylr1xhCY4zhuBDEiABEiABEiABErA7AXoa2n2HUmhfd3c3rly9ClcphcMUYp0cSgXD3PAw7rzjDitv1+QJ3iGBFBBQD7Br12+gLyDFREQUNPML4cqTkLgpbWhwAD3yOtffGrJsaG7E3OneLlO6T95djKeheolFR4dFLByW532OVRG5VIq7TG2WmCieh+HggJVrbpVUjU6lZ+PUuZxwPxwOW8LhqFvy+S2RcNgvImGvej6JR6GRJ16e8lxy5STKYbF0VDW82ZQCOcZYULwRx1DqK7VyY+bnxb78UsEw3wjjzk2bxCMxPZ6QS7d6zpxOAqFAF9oGPahbO/3LjXTOybFJgARIgARIgARIwGkEKBo6bccWaa8lHEq+NFfpKvmgOLuYsMjpls3lWqU6V0KS7rxjEwXDZbPrS7PQMQlF7u3txY3uHqj4BBEPkV8wTUAck0IVKi76/b2IagIKEYUM6WPkThcZJ1YwX9HQlDBSzVfokpuKhioSlkoI8tSchSoUQsQejAwhR8TEFeJ5qDkbcyQnHpvUT5C9++jceYwauXAVx7z6MsGlt9ePHnn+mC43THk+uPT545BmhTGLJ6spz6kCbwHKcyMoL/ZagqEh+RTZSIAESIAESIAESIAESIAEUkuAomFqedpyNL/fP80ufXz5yhW4VTh00AfGaYuw0QPNpZWLMWi1agoiNtqYZWBKMBi0wpf9fX0YlSRaLhEGTfEWU+9CKw2B4UZIilgMDPRLCPOACFVSgEK9E7WPfmmgv0Vs0XG83viCopbBncw5J9ebKhZKjjkr55yEjRYUiOgkhS40F52eMyQ3XVTEwjzJC1YmQmKJCIqJx14Gm5RkiVoc5OMLbRiJSvmQkqnV6pNctMBTvSIgq2Bo5Io3obzvGzb0KpzP0iLXPkZ+eAgbpeq4VktebmHu82GVir6sRp0KihyDBEiABEiABEiABJxHgKKh8/YsJRb3icjw8YULkoy/QqqzTg8lTMkEy2QQrdZZkOvCxtuzt+rrMtlKxy9TPdcmilgMSIGUERECDfEm0yIWkHxxUREQI+J2OCTVcIclJDUov0el8IUrxy3VcUdRWCwhz+OFLtRpS/5xEC0wItVtx5AroaCe/HwUSvVjrydfqiG7pciJ5L+zCliMSmXcCDwiOhZp8QoRElXAoYA+96eUFqoaGJYCICUrrD2b+5Wz99RCWNdvdItALM+DfAlX198OburlCnnfLSoqxOo1ayVH5gAguTyXW0EdB28hTU9CINsKoWSiAEoSnMvuVE2ZF5/ZlN4voJYdVC6YBEiABEhASjiyLUsCGkp41513Wl4uEUk671qivFpOha+5tTBwHT5JzK9FZthIYKkJqEinRY/0NtFGRBScuI1KyLJWWS4RT7NoUa4IfUUwRRjU4xruXFBgyLGodakhnoQ5IjTmSEL/fBEL1RtR88W53C7kyvG8vFy55Vk3j3gUah+2hRPYIF7KHR0dIu5dhSkeh64UpI4YGh7GtWvXEZbwdLOwzJb5CudLLCphyWb/DayQnJgVK2IfjK2q4lJZfGioDx9KZWqt1r1mzWrmN5wvXPYnARIgARIgARIgARIggTgEKBrGgbJcDmn10s11d1nCYbDvGlBcmXIvl2xkGZWCDlH54Lp2zRqslA+vbCRgVwIq5s1F0NOUBQw/XNpdXL16NVSAvXjpElBYDldh6YIMioo36bXr19An4eiGFMPRnIXZkO0vOuSHOdyHNTU1KC65lY3yMkU87B2SMOzTp1Gzdi3Ky8sXxJAXkQAJkAAJkAAJkAAJkAAJxAhQNFzmzwS32407Nm20vFyu3WiHUbzCyou2zLEkXL5W6nSNDeP2jRuZQyshJZ4gARJYCAEVufTLnLaLlzDaJ+HKUiBFQ8zn2jQ8vbOrS/JaeuDyVYlY6Hy50ApHHuxGvni5rrEq0ycOrza0erJ8+RUdCeLK1Q4EJA2HeoLrv3NsJEACJEACJEACJEACJEAC8ycgf2GzkQCgXi4b1q+HIR/OVBhjm07AKvLg70BxnoG7N2+mYDgdDx+RAAmkiIB6G9bddSdW+IoQ7bkSy9k3h7GvXb+Bqx1diHpLYRT4skIwjIpnYUQYlPtKsX7D7VKZPrFgOBWRK98Lo3wt+keiOP3BGatY0NTzvE8CaSMQDqDl3RaEZILQ2SYY9U3W/bTNx4FJgARIgARIgARIIM0EKBqmGbCThtc8h/fcfTdK8t2I9rZbFVCdZH+6bI0M9iIqguGaqpW4fcMGeq2kCzTHJQESmCSgX+RsEo/m3LFBmJI+wgyPTp6bemdsLIw2CWnuG5LCN6WSDzE3URXsqVfZ+75W4TYDnciLBFF7+0ZUjucvnK/VLvHUNCXUWytUd4kHJhsJpJ9AJxq2NqA1PD7TqfTPyBlIgARIgARIgARIIJ0EKBqmk64Dx9Ywrg2163Hb2jVwDfVYSedNqZC6HFs0NGSJpyW5wD333GMl2F+OHLhmEiCBpSFQJJWo766rQ1WFTzzuriIqX2CYZqxYjVo0ODQErbw8YuTBEHHMGK9+vTTWLn5WU4pyRQfE210EwxUVZZZg6PEWLGpgl6cQrvI1uNbjF/HwwqLG4sUOIRDuwpEnd1oFnAxjJ478QgTjcCsadxxA2/ifM11vHMD+H7TKgkJo/u4+7P9uo/TfiZYPmrH7K41o/IqBnS/Fzh9/ad/kWE3vjovP57XffjSOz9Pw+BF0hdpw4KHNFqSG3z0y6WEYOnsEO+V8YBxf6HTssXojspEACZAACZAACZCA3QlQNLT7Di2RfVoU4VfuvReVJQWIdF9GZNC/RJZkflorFFk8e3JCAayvWWt5F+bminLIRgIkQAJLQGDVqlW49957UObJQfSGvB8PBaDFa9rb2wEJRXZ7ipfAqhROaUYsQTRy4xJKvbnYdNdmlFVUpmwCQyp+G75qDI5Gcab1rFUxPGWDcyDbETj+TDX2nN2FzqCJCz+qx577vmGJhc1vHUVgXDT0dx3F8e6YbBc40YSDz3Th7febUOcO4NgPD6Drs2+j6dE6tLy0Gw+8tdUay9+6F/u2VuOYvOxCEoZ87IcH4X3weQRvnETDK3vQdLoMT738NuqFyJvf3gXPOBnP+jp0yvnjcp224y/uQee9dZPn/3/27ge6zTK/F/xX/vvKfxIpOEEOySQOyRCFpLVMh167M9shHGYXe+EuNnCX+MJZiMntTDicHcjlLuCmuxBDbyeGFuKZLYmnp3Bsup1JcndoTDsUp+fSTZgCVjpJ7cwkREACcogTKbETvbZlaX/PK8mxHcuJHUt+JX1fRpb0/nn+fB7ByD//nveJ7OVPClCAAhSgAAUoYE4BBg3NOS6madVNskLwGrmHn8q2G+n7HKGL503TttluiJr+F5ZVkcP+XpSW2I2p2jabbbarYXkUoAAFpi2g/nCxbNk3sFrudzjoOw1vzyeARYJhOdd2n79pV5iEC4zMwoGzCEqwsEjuF3vzN1fDsfimhN0CwiKLpAxma+g5+htcunQpCT1kFUkXCHrQ/jKw65V6OCRqV3bPNniPtaBUGlJq/Iy1SO2JhvW8wI7DO7B+rUP2BeSxCzseXw+HTUfPTzvgqrSi+70OdJ3UjYDggR6VbRg57+m7JPhX4sLTr7mw+6AHmkPVUo2y5bGQoarGhe0/BLbtlcxFyXhs2Qlsf0iFFrlRgAIUoAAFKEAB8wtw9WTzj9Gct1DdmP/mFWW4KFPhvvL2YkCCh5Cb7WcVzJMpO6kfd1b3z0LggnEPR4dk9DgcK42pSHMOzwZQgAIUmCBw9uxZWAuLsaK8EufOnYP/aw+yC2XxE8k2tOSOCVRMuM5Mb8NDEnDR+zEiD9uCEtyw5Bbk5eUnpYnZhTaEZEXq3/z2t1h5881c1Cop6smsJJI9OPbOnlqRBknSNbbYsxEvjJxqhP/itlBiiyq8qKt/dBsa97ShtEz+mDjxri2anKVf/vdPn3C86rFdcK/rgHu1TIcu34Xds5dIG7fpPEABClCAAhSgAAVmQ4BBw9lQzJAyCgsL5cb8NxsZGr2nv5ZfVj+LBA6NX1aT8wvfbFKHAgOwDPbDIvfRunHRIixatIrBwtkEZlkUoMCsCnxx8iR8FwYAmWqrWSxYXFCIGyWzyec7B9/ZMwjJmsnIL5QAYhEs2ea6pUJ4RDK55T6xGBxAdpYF9gU3yGMZsiSAl+wty1qMkPgdO3Ycq1atZOAw2QOQyPpynFh/N9D2QQ82rHbB/2Ez7JU98PZvhhcd8EiSoNPhwZ5HOlD6xvartESCjUWA1+ZE9T2SGaj3oMG6BuuPhY2Mw/gXS+rihKChtrYG2yT8WPE9yTjs9MZyHOMXwSMUoAAFKEABClDAJAIMGppkIFKpGQUFBcZiKUM3LYbKevn6zNcIyy9+4dgvq3PwS+C1+oWHZFXOwYvyy2s/CuQX7kWLHVD3b+RGAQpQwMwCJ+X+hUbAcL5j3B83snNyjNWF1QrDFwf64ff70X/uFLJk2nI4rwCWfKtMYb6cAZXMPhqrIA/KNOBheciCWvPm2zB/0TdQIH+AmustS0WDJMh67PhxfHPVKqhFZ7ilh0Ct3Fdw99IKWDZF+rPjoBeOIhu2veBCzVIJrMu28XHXaOBubFaicbDc+Gn8qH2jCwfsUtaTkX21rx3AhpUSPzwq78vHX1lq/GumQe6EiIrvtML3tjonch3gQO2bG9H4iA+1lY7YTj5TgAIUoAAFKEAB0wtYwrKZvpVsoOkFzp8/j7Nqqpz8wpqdpyGcq35ZlUfO3Ge7hNRUOPWL69AluVdWFkoWLMACeeTnp152pOk/CGxgSgqoRTUYPDfv0Hm9Xnwtq/+qDEOLZMhdyzbQ34/+/gsYkMdIcARZEjwM5+TLFGZ5yDNm+9YSsphJeFiyCeV2D5bgINR/d3PkPoxFxfMkk28eCk0alAvpAwjLis2rb7kFVuv4INC1OPMc8wrofpl/PGZqsmqpPiD75JYro9OUr7H56ruNptnUpVffYlmGE/4s7369AhXeFoRfqoxbxif33h/3WCoe6G5sTsVmp2ybl9qt+O6qRSnbfjacAhSgAAXMKTDhK405G8lWmV9g/vz5UA+1qS/XPnlcOO81pstZ8mK/rGoJDyKqGLix+rH84poV1OWeWQFo8oug3abaVyrZhQXmx2QLKUABCkQFzpw5g9NnzsJiv/aAobq0qLjYeAA3YXhoSG4rcRGX5L60ly75MDQo/31UKwrLH3XCWfKHHXktOySOKFOF1UMFFCcGJ8MhQP2NMSTBQXmozEHIrR0s8qwWkQrJvnzNCqv8N7bQXmJkE6qgodk3lXEYCoUk4/BTOGWRGbXgDLf0ENBsV0b41P0NZ7JNa1G0K75Z62jfZEW9LIDy/pn4AcOZtIvXUIACFKAABShAgUQLMNMw0cIZXn4gEMDAwAAuSNaLWkglGAwiWzJdoKbOqV9WZWqdxfilNfoL6zV4Gcmx0V9aw+oXVrlXVpb88qqyXELyy6tmLZCpZoWYp35pluyWHKmDGwUoEF+AmYbxbebyiPoDjOczuXesfbEE+GZ3leShwUEMymN4aBBDElQcHh42/vs8MjJiBADDITUJITYRwSL/nbYY9x/Mzs42/puam5cni5dEH5K1nayFTBI1HiMDPmjhISNwmKg6WG7mCviP9sBXUoaykpkFLTNXjj2nAAUoQAEKUGCuBRg0nOsRyLD6VdBQBRJ1XZdnWY1QMl7UL6zB4SBGJACYJb+QGisyS6ZLJNFFTcWT7EGVQSiZLmHJCFHZLuo+Xrm5eTLFOA9WNdVIHmpqGaeXZdgHit2dFQEGDWeFcVYLUf+N7Ok5Csv8RTK1mBnSs4obp7DwhTOYZ81F2fLlcc7gbgpQgAIUoAAFKEABCmSWAIOGmTXe7C0FKECBKwQYNLyCZM53dEvAcCjHKivUR277MOcNypAGhH1foXRRCRYt4n3BMmTI2U0KUIACFKAABShAgSkEOG9zChweogAFKEABCiRb4PMvvsAwshkwTDa8qq94IU59ecq4/y1XVJ6LAcjsOtNlIZSg3Nv0t0+9mNmDOcu9f/j2ZbNcIoujAAUoQAEKXJuA3O2cGwUoQAEKUIACZhA4J6vQ+/wXjOCVGdqTaW1Qi8NkFZfA8/nnmdZ19pcCFKAABShAAQpQgAJXCDBoeAUJd1CAAhSgAAWSL6Du+frFFyclYHjDFYsXJ781mVtjlrUYoez8yFhkLgN7TgEKUIACFKAABShAATBoyA8BBShAAQpQwAQCn6uAoQSssvKsJmhNhjeh6Aac8/lw4YJkfXKjAAUoQAEKUIACFKBAhgowaJihA89uU4ACFKCAeQT8fj/6L15EVtEC8zQqg1tisVgAGYsvTp7KYIXM7bp+pEWyfVugZy4Be04BClCAAhSgAAUMAQYN+UGgAAUoQAEKzLHAyVMSnCpkwHCOh2Fc9VlaEUYsOejt7R23n2/SX0BbXoeuw3XQ0r+r7CEFKEABClCAAhSYUoBBwyl5eJACFKAABSiQWAEVlApl5yErvyCxFbH06QsU2vHVV19heHh4+tfyCvMJBHvQ/FwzWn/UIJmEFlgebEbPgDQz6EHTgw1oerEOFlcrdH8X2vZ2w/9hC2o2tY9mHOpH2qPvdRzcuSVShpRT9+Ie+IOR7rrfahzd3/iWG/rRyDX+qMblMszHwxZRgAIUoAAFKECBiQIMGk4U4XsKUIACFKBAkgTU4idfeb1AgT1JNbKa6QgYqykX2vClBA65pYdA58tb0GHbjMCwD7uXbMGaB1VQUEfXz1rReLIa3e/UAX4vmrd6oK2tQMfOenRGk007X6uHd50TONKKqk1+dPeHEQ6cQNnWOrQd1eHf34iKR3pwwBtA4Ng+ND1SgT25TnhVGdGZ7rEymMWYHp8n9oICFKAABSiQ7gI56d5B9o8CFKAABShgVgGvZBlmWedBBae4mVPAIkHDc2c+x42LFsFq5SI15hyl6bRqI7Y/6oIm34BrXzggq5VvQ4/ukrBhNbp+vBFO2a+r7EO1FVVi3+NA4zseVD+qo3EnsP2MXFvixAm3G579e3DgaBea5dRd8uj8SRNcb3Sj0qFCgtXwnTwBlJTB8UNgy94e1H4faImWISdwowAFKEABClCAAqYXYKah6YeIDaQABShAgXQUUFNevz59GpaC+enYvbTpk8WSJWNkg7f3dNr0KWM7ElRLmzhhj/3JPBgwKEaz/qJTjMf6rP/BDrg3dcAtAUL33W1YXwL0vteMFa4qHOzVseaOGjwvF6hsRbWVjhYGaEWSQSx1VT22C+4nI2V0lO9ClZTBjQIUoAAFKEABCqSCAIOGqTBKbCMFKEABCqSdwOmvv0a2ZLFZsmMRjLTrYtp0KEvGye/3YXBwMG36lJEdyVERvS1o+zhyh8Ged1uA8nqUjQn0TXTRyuskKPgEKr7XiO0vVBuHfUd3A88ewPOPb0DlcsAtezX5x3lPNTredsMove8grHa7MbVZW1uDbVKvKmPbKzVcYGUiMt9TgAIUoAAFKGBaAQYNTTs0bBgFKEABCqSrQCgUwhkJGloK5qVrF9OqX2rRjCzJCFWBXm6pLVAqzW/9lt1YrGTNBg92v107GsQbFzssj01Fd6D+zVq56nnUl9uMzpfdtQV4uSqy4Mld2+F83IWGdU8AD7RiR1E97GqRlYVVqH3tAGqXqEscqH1zozzXorbSYZTBHxSgAAUoQAEKUCAVBCxh2VKhoWwjBShAAQokRsDn88EuGTHckifwtQSfvGf9sMxblLxKWdN1CYRHghjpO4ny8t9FVhb/5npdmHN1se5GXa2sjNwhATy/5AMW2Yx7G86oOTLV2S/3PrTZoqFGNbU5mjSsD8hUZclq1MZEId2vV6DC24LwS5Vxq/vk3vvjHkulA8GCAvz2qRdTqcmmb+vDty8zfRvZQApQgAIUSE8BzolKz3FlryhAAQpQwMQCX585g3DBAlhM3EY2bbyAmkaebS1EX18fFsmiKNxSU8DzbmRqsmaLZA3OuBcSFBxXxJhv1FrRmGih3OuwfZMV9bIAyvtn4gcMZ9wOXkgBClCAAhSgAAUSKMBMwwTismgKUIACqSDATMPkjlJ/fz9OfPY5LAuMeYvJrZy1XZdAaDCAXN2PW9c4r6scXjxXAjp6T+lwLLnOgOE0m+8/2gOfrKJcVjI2mDjNQng6BShAAQpQgAIUmAMBzq+ZA3RWSQEKUIACmSvQd/YcQvlFmQuQwj3PyrdiOBjEpUuXUrgXmdx0LekBQ6VtW+1kwDCTP3bsOwUoQAEKUCCFBRg0TOHBY9MpQAEKUCD1BPxyD8ksjUHD1Bu5aIvzC3Hu3LmUbT4bTgEKUIACFKAABShAgWsVGHMHlmu9hOdRgAIUoAAFKDATAb8svpCVlw91fzxuqSlgUUFD3xksWcLp5ak5guZtdboshDJkvwHHNz9nXug5ahkXM5kjeFZLAQpQgALXJcBMw+vi48UUoAAFKECBaxfw+c8jnFtw7RfwTNMJWHLzEQqHOUXZdCPDBlGAAhSgAAUoQAEKzLYAg4azLcryKEABClCAAnEELpw/D0s+g4ZxeFJnd14BzstYcqMABShAAQpQgAIUoEA6CzBomM6jy75RgAIUoIBpBNTiGWGLBZacXNO0iQ2ZoUCeFf7zF2Z4MS+jAAUoQAEKUIACFKBAaggwaJga48RWUoACFKBAigsMDAzAIsEmbqkvoMbx0sUBhEKh1O9MCvdAP9ICi6UF+jT7oB9thcXVOv3rrlLf2Pb4j7vhPjXdlk2zIzydAhSgAAUoQAEKJFiAd2JPMDCLpwAFKEABCiiB8xf65X6GGizkSHkBi2SM5uRbcfHiRRQXF6d8f1K1A9ryOnQdBrSZdODQ9C+6Wn1jj3verUCF3o3wf3ZOvyJeQQEKUIACFKAABUwiwExDkwwEm0EBClCAAuktcEkCTBYJGnJLD4GwLIiigobc5lDA34W2vd3SAB0dzzWg4cVG1KhbAFgq0Pphb6RhfW40utQ+eVQ3wh3dHTmoY89TDdhzPJoReKoDdU/tMTIQez9sRYVRlgU1z+2BPyhXROvzf9iCmk3to5mK+pH2yPvo8d73mrDmSTn/mTX4646/No75IxVi9Nzoez5RgAIUoAAFKEABMwswaGjm0WHbKEABClAgLQSGhoaMFXct2UzwT4sBVZ3IyUe/TDnnNncCut+L5q0eI3jnP9SK1q12bPcF0N1egYbKNvjRi8aFFXA/dgCBYR/2lTeh4rE94xrs298Kb3QYdb8He171AcEebKxswJaeAMLDXlS/XIdt+3sRq09bW4GOnfXojAYgO1+rh3edZBRG22O742m8/4ILeHYf/sP634FXnXsqUm3sXP75YNww8A0FKEABClCAAiYV4G8vJh0YNosCFKAABdJHIBAIIEsy07ilj4BFgoaBCxJg4jZ3AmO/xXqBHYc3w2mTcNx9m+HCRnj+rRRNqEb39yuhybnVL/hw4jNpbnD3+DbHysmJhvJy7KiSM+ofegKBrRuw/pgXzpUO6EejlxVVYt/jQOM7HlQ/qqNxJ7D9jAQJ+7oiJ0g5pY5SuPQyaJoT238IbNnbg9rvAy2xc8e3gO8oQAEKUIACFKCAKQWYaWjKYWGjKEABClAgnQR0XUc4m6smp9OYqlWwg8PDXAzFJIMaGNsOFbSTfyLb2Jw+DXYVVIyzqcBiZHPg+X4ful+phv+DFqxZVYqGt3tiB43n9T/YAfemDrj374H77jasLxl3eNybqsd2wf1k5NyO8l2omuLccRfyDQUoQAEKUIACFJhjgdGvR3PcDlZPAQpQgAIUSFuBS5JpCAYN0258s3PzoALCBQUFade3tOjQMpfkGdbjwBE/nOU2HHzViqr9uxF4ZUzvZEEUj1fuOLjWgc63GwAJAMJ/EBb7dnQP78bTd9SiSrOgSlZC3iHJhLFNK6/D8xKYrPieZBl+FCfjVD4batPW1mBb9Nxtnd6ZLdwSq5jPFKAABShAAQpQIIkCzDRMIjarogAFKECBzBTQ9UG5Bx4zDdNu9CUQPDgoY8tt7gTKrUbd6uf4HEJNpiQ70dq5Aw0uu7EQStUztXj/p7WRtparJw3rf7ENzd8rNY43n6yFq0h221zY96wHa3IjC6hUvVyNfffIPQvVFq0PcKD+TVXW86iXgOToFj2ulTjhfkYWZDmiAocO1L65UZ5rUVvpGD2VLyhAAQpQgAIUoIDZBSxh2czeSLaPAhSgAAUSJ+Dz+WC32xNXAUvGrw8fRni+AxZmG6bVpyHUfxal9iLceOONadWvtOtMUJeMUAkRFo0PK472Uw7qEkDUJhzWB/yR62w2456Io+df6wu14nJ0To/79QpUeFsQfqky7tWf3Ht/3GOpdGDIfgOOb34ulZqclLY+fPuypNTDSihAAQpQgAKzKcDpybOpybIoQAEKUIACkwgEh4PIzuL/5U5Ck9K7wlnZGJL7GnIzuYDc41BTGYTxNokWTogXGmdqRRIsnOq6eOXF9hv/yuto32RFvSyA8v6Z+AHD2CV8pgAFKEABClCAAmYSYKahmUaDbaEABSgwBwLMNEw8epfbjZxFZYmvaI5rCI6MwO/3Q8vPR1HR9URb5rgj11h9KNCPedlBrChL/7G9RhKeNomA/2gPfCVlKCuZLDQ5yQXcRQEKUIACFKAABUwiwLQHkwwEm0EBClCAAukrkCUZaem++Xx+/NFj/xGfnuxFXn4hvltThz/Z8kfIz8tL365nZSEYHEnf/rFnsyJgW+3EmLsezkqZLIQCFKAABShAAQokQ4ALoSRDmXVQgAIUoEBmC1jS+/9u1d2R/+tz/8kIGK791r/DyqV2/HLPm9ix7/9L73GXcR0JMWiY3oPM3lGAAhSgAAUoQIHMFWCmYeaOPXtOAQpQgAJJErBYLEmqaW6qOX+hD//40adG5bt2/AXOnT2Hp//j3fjv//g+nr7vjrlpVBJqVeMaDnE9uSRQZ0QVqbgQSndjc0aMDTtJgUwT4MI9mTbi7C8F4gswaBjfhkcoQAEKUIACsyOQ5kHD3NwC/Pn27bDduBiQtMO/39uKnnPA3b972+z4mbYUCRqqNEtuFKAABShAAQpQgAIUSEMBBg3TcFDZJQpQgAIUMJtAegeWCgsK8O3vfhdHu91oqP9fcOTTXjhuqcB/2XCX2QaC7aEABShAAQpQgAIUoAAFrlGAQcNrhOJpFKAABShAgRkLpHfM0GA58F47nnz2FeP1/771Jdz/P/6hsYryjM1S4sIw0n3qeUoMAxtJAQpQgAIUoAAFKJAQgfS+M3tCyFgoBShAAQpQYHoC6T6FNRDQRwOGj276Iyy35eHDgwfxyaHD04NKsbPVuFqy0vt+lSk2JKZvbs/OGtTs7DF9O9lAClCAAhSgAAUooASYacjPAQUoQAEKUCDRAuFQomuY0/K/8naP1v9Xb/zfo6/Vi48//njc+7R6EwohOys7rbrEziRWQNMArz+xdbB0ClCAAhSgAAUoMFsCzDScLUmWQwEKUIACFIgjEAqNxDmSHrvnz/sGWn784yseP/3pX6VHB+P1QoLBOTn8+2s8npTe3+dGY7VFpp9XoPH1FjQ+1YLeoPQo6Ef7czXGtHR1rHV/b6Sb8fbLUfdbjcb5FQ9uQes7HSiVwCE3ClCAAhSgAAUokAoC/KabCqPENlKAAhSgQMoLGFNZ03QV5ZKSEqhHpm1hCQbnafwqlX7j3oumhRVwv3EAgb8tQ8dL1ah7tRR1L21G9wt21Pe1wRvYB+1oO+yuUthPhmH78eT7q9xbUPGIH+8f82GN3onqdc0o5fpA6feRYY8oQAEKUIACaSrAb7ppOrDsFgUoQAEKmEdAZaOFRyRNKSfXPI1iS65bwKKChnkF110OCzCZwKkDaMRGnHi0EiomXPvMduDlZsky9KD9ZaDt2AY4VLZg+Qbse7weLfveQ+lk+9/tga2nGdVvnsD6lTa5oBatLwAbdZP1l82hAAUoQAEKUIACcQQ4PTkODHdTgAIUoAAFZksgNy8P4ZCa28gtnQQsMqZ5Mrbc0ktA9/ukQw5YY39a1+xwqS7KFGSvOqLif9FNl/sTlpZYJt/vKIBnvxy3WWOnQ7MZJY2+5wsKUIACFKAABShgZgEGDc08OmwbBShAAQqkhYCWny8Bh+G06As7MUZgZJhBwzEc6fJSW12FajSh81BkxZLOH22EG5JaqDlRXw4073VHuir3PWz9GVD9+9+efL9rGaoec6H1J/tglKT3oPVJN+9pmC4fFPaDAhSgAAUokAECDBpmwCCzixSgAAUoMLcCBVbJNJIAE7f0EhgZHoKmlsPlll4COU60uduw3WU3FjBpPlwq/XOiNEfDhnffh7apIrIQitz3sPTNLtQuibdfrvp+B7Z7G2CX+5larGsgk5zlM5NeXOwNBShAAQpQgALpKxCbeJG+PWTPKEABClCAAnMsoAJLlhE15ZFbugiEJXM0JzcXWVn8+2u6jOloP4K96DysoSMQNu5dqB9qgVUyCm3qW7NjPXYPh+H3S+6gZoOtKHpVvP05DjztDmOzOr/IZtwjcbQevqAABShAAQpQgAImF+A3XZMPEJtHAQpQgAKpL1BQUIDQ8GDqd4Q9GBUIBwdhtXIRlFGQdHqRY4P+dh1KrTVoerEBVtcT2PbLOjVBObJJ8NBWMiZgeLX9clyzMWAYY+IzBShAAQpQgAKpI2AJy5Y6zWVLKUABClBgtgV8Ph/sdvtsF8vyJgj8669/LZGGxbBkM8l/Ak1Kvg31n5UFMQrhcDhSsv1s9NUEdPQe6UG3V/776KyCS6Ygc6MABShAAQpQgAKZJsDfXDJtxNlfClCAAhSYE4GCgkJcHNLlvmax+Yxz0gxWOksCFsk0LCxcNEulsRjzCWhwrHXJw3wtY4soQAEKUIACFKBAsgQ4PTlZ0qyHAhSgAAUyWmD+vGJYgnpGG6RL59UkjeBgAEVFDACny5iyHxSgAAUoQAEKUIACVwow0/BKE+6hAAUoQAEKzLpAcXExvuo9Dcusl8wCky0QHgqgoLDIWEE32XWzvvQV+OTe+1Oqc92Nai3o6W0P375sehfwbApQgAIUoAAF5lSAmYZzys/KKUABClAgUwSsVqsEDMNQq+5yS3EBCRrabfNTvBNsPgUoQAEKUIACFKAABaYWYNBwah8epQAFKEABCsyawPz58xEevDRr5bGgORIYuoR58+bNUeWslgIUoAAFKEABClCAAskRYNAwOc6shQIUoAAFKCDZaTZYhhk0TOWPQnh4EFkWCwoKClK5G2w7BShAAQpQgAIUoAAFrirAoOFViXgCBShAAQpQYHYEVKZhSIJO4ZHg7BTIUpIuEB68iAUL7EmvN+0q9Htw8FDvDLqlo91lQeuR619UqGdnDWp29syoDS0SOG4+NN02zF7bZ9BoXkIBClCAAhSgAAWmLcCFUKZNxgsoQAEKUIACMxew2+3w6QPILrTNvBBeOXcCKmi41DF39adLzb0dqHIB4fDmafcooK7I0aZ93WQXeKcb9zMK0VB3uAtYOf02qLbPqMrJGs99FKAABShAAQpQIMECzDRMMDCLpwAFKEABCowVKLnhBmQNDozdxdcpIhCS+1Hm5uRwavL1jtepDtQ4n5BSnkDD2yrTT0fn6w3GatQWSw1aP7ycgeh+qzG634LGt9xGzdZSoGFrA2ok289iqUD7x36jjI7nGtDwYuPo/tFygn60P1cTLacCrfsvl28UKD/8h9qj11lQsakVvbHIXp8bjdWRehpfb0HjUy3olUTh7r270dUXOWmyNuqnOrHFuE6udTVgzxHVRm4UoAAFKEABClAgtQQYNEyt8WJrKUABClAgxQWKioqQnZWFkKzAyy21BCwS7F20sCS1Gm3G1i6pxo7ObdKy5/H8fU64X6/Dne9WwhsIw9ezEQ2VpdhzSgJ5+xtR8UgPDngDCBzbh6ZHJEAo+1EkjwEXdvQH0N1egfpvtUKF5PyHWtG61Y7tvsj+hso2Y3+n7Kvvq4+U796ChvWR8uWSyNbXCburHvUfeREe9kHOQOkje+RYL5oWVsB93wEE+jtQ4W1F06sd8AZ1eLY2wdMXr4062pbeCc/D3ZJJGcaJF2yoe3g3Mwxj3nymAAUoQAEKUCBlBDg9OWWGig2lAAUoQIF0Ebhx0UJ81ecD8qzp0qW074e6D+WIfhE33LAy7fuajA6WlTqAcqBU03Hwpx1w1daj+70OQN7LrGUc6JFswJ1NcL3RjUqHmgZcDd/JE4DEbHcfA3a8tRFlRbL/vs1y/kZ4dJnm7JX9hzfDaRuzf6AW7S8Dbcc2wCimfAP2PV6Plnd7sD3aUc8H7cDdbdjwe9Im2TZs3Y36pa3o+RRolLJPPFoJTb4x1z4jV7zcHLlK2g7Z1/mTydqowXbmBNYc9mDPWwfQ9Y5cU9oWuY4/KUABClCAAhSgQAoJMNMwhQaLTaUABShAgfQQKCkpQUi/hHBwOD06lAG9CAcuYGHJQmRJlii36xcwJvYeipYj043lf5KJp8Ov29C4pw11ZSpQqIKKxpPxQyuSBWgm/rlb7m1YalwNjMvdje2XqckSS4TDdrkc3S/lOi4vZqP3yRmrIwHDyFmqdU4UDEhgHw5YY3VqdiOgOaYk4+UVbTQyFFeg6icHoTvWoOahpyWgOa51l4vgKwpQgAIUoAAFKGBiAX7zNfHgsGkUoAAFKJCeAha5F9siyTYMB86nZwfTrFfhcAihS+eNMUuzrs1dd4wFxFWYUIMm0429Nieq76lF7V1l6JCsQw9scN5TjY633cYUY/QdhFUWEersnWaTNSfqJSuweW/kfoiQexS2/kzyFl2Xg4Rl36kFXm2BW4KJanPvlazAx9dj2a1Vkt/YhM5DkQOdP9oIt7T38qZN3sYvvdgtJ73/xvPYcFclcErdt5EbBShAAQpQgAIUSD0BBg1Tb8zYYgpQgAIUSAOBG2+8ESOXLkBNe+VmboHQxfOw2xcgPz/f3A1NodZpNpXp9wTqd/ag9o0urH+yIrJQiXUNfK8dwIaVkuv3UCt2FNXDrhY8WViFWtlfuwRQk/rHhu7UO/V+8v0aNrz7PrRN0fLlHoWlb3YZ5SgulSWord6I918DKuxqwRNZCOXJUnT9WbVkNTrR5m7Ddpfd2N98WOVDOlEqmYexuiZt481ONP4QuDNa3naPE65DDah/6+jodapubhSgAAUoQAEKUMDsAha5QXPY7I1k+yhAAQpQIHECPp9PAiKXp+olriaWPFHg1Jdf4qws5mAp5uIaE23M8j4cCmGk73OscTqhaeNDVWZpY8q2IxYvj07/9fv9YmyTx/ge6QMyXVimG0/cP/6sq7yTulT5kPJtktk46Tbgl+nRgK3EFjkc7MWetw+g6oFa436I+qEWWF0yDTq8eULQUqZWT9JGPVqf0e4JfZ2s/k/uvX+y3abd190Yvb/jNFr48O3LpnE2T6UABShAAQpQYK4FmGk41yPA+ilAAQpQIGMFSh0OhAL9cm/DoYw1MHvHwxd9svjJDQwYJmKgVLAwGjBUxdtsVwYM1X5NFjy5roChKkTqUcHAuAFDdU6RHI8FDI1rbNDfrkOptQZNLzZIwPAJbPtl3RUBQ3XqZG3UxvZnQl/VNdwoQAEKUIACFKCA2QWYaWj2EWL7KEABCiRYgJmGCQa+SvGnT59G71k/LPNvvMqZPJxsARXMHTn7JdatW4vc3NxkV8/6TCGgo/dID7q9kpHtrIJryYQ0SFO0kY2gAAUoQAEKUIACiRFg0DAxriyVAhSgQMoIMGg490N1+Mi/YcRqQ5ZWOPeNYQtGBcLnT8Nxgw3q/pPcKEABClCAAhSgAAUokGkCnJ6caSPO/lKAAhSggOkEli65Cbh4znTtyuQGhQIDyMYIA4aZ/CFg3ylAAQpQgAIUoECGC4y5k0yGS7D7FKAABShAgTkSUPdym+fz40L/WWQV3zBHrWC1MYFwOITwwFksu3lFbBefKZBwAS6EknBiVkABClCAAhSgwDQFmGk4TTCeTgEKUIACFEiEwDeWLgEGBxAaDCSieJY5HQEJ3pbI4ifFxcXTuYrnUoACFKAABShAAQpQIK0EGDRMq+FkZyhAAQpQIFUFcnJysOwb3wAG+hAOh1O1GynfbrWadXZoGEtVEJcbBShAAQpQgAIUoAAFMliAQcMMHnx2nQIUoAAFzCVgt9uxwG4D+vvM1bAMaY1aLTl04QzKli/LkB6zmxSgAAUoQAEKUIACFIgvwKBhfBseoQAFKEABCiRd4BtLlyLXMoLQRX/S6874CiVYu2TJEhQWchXrpH8Wgn64P3RDVxWPfa27YbFUwG0cSHqrZlRhz84aVOzsufLasf268ij3UIACFKAABShAAdMJMGhouiFhgyhAAQpQINMFbi4rAy6dl/sbXsp0iqT1PywZhvOLC7Fo0aKk1cmKxgp4UVFZgZ6g2jfmdY4T3e42OLWx56bq6zH9StUusN0UoAAFKEABCmSUAIOGGTXc7CwFKEABCqSCQH5+PsrKliN0/jTCw0Op0OSUbuPIwDnkZ4WxfBmnJc/aQAZ70f5cjWQJWlD3XDOanmpEZ2+kdM/+FlTIfnVsy86D0IMeNN27xjhY8Ud/gf8r9voH7ZJ56EXHmx3wBnV0PNeAhhcbUWNcW4HWD6MFTlFXvP6432o06ldtaHzLbZymn+rElupIuyyuBuw5orJ9dex5Sl4fj6Y6nupA3VN7ohmRcfqoaXBvakRDtKwtqvyxfTT6Fa9l3E8BClCAAhSgAAXMI8CgoXnGgi2hAAUoQAEKjArMnz8faqpy+IIEDkdGRvfzxewKhCSjM2c4gJU3r5jdgjO8tM6tpag/VAtvfwCN3/Kh8dUmePp06IdasGJ9J1pOBhD2dUPbVIUn3rXi6Tfeh0vM9v0f/wn/Jfb6mVpoEp5re7UNfslA9B9qRetWO7b7Auhur0BDpeyXa+LVFW8I/PsbUfFIDw54Awgc24emRyrQfkrqWXonPA93GwsRnXjBhrqHdxvBQd/+VngHIqXpfg/2vOoz3kxdr44Nr/ngO9yGZin/oF52uY9Gv+K1jvspQAEKUIACFKCAeQRyzNMUtoQCFKAABShAgbECJSUlCAaDON0ngUObQzKj+Le+sT7X+1qtlIxLfqy65Rao1au5zZKAZNW1vwy0HdsIRxHguG8LtqHJCMB5PuoAyqvg6+mEvIK1HGjd341dd5eiFNWyCI0mgcLLr1WL1Dtj8wI7Dm+G0yZzle/bLEHGjfAM1MatK3LRlT87f9IE1xvdqHSoOc/V8J08AZRosJ05gTWHJSj41gF0vdMsFbddvjj28chR18g2RR+h63C9th3rV9rkxFrskJ9dkqlYuXZ8v1Qx3ChAAQpQgAIUoICZBfjbh5lHh22jAAUoQIGMF3A4HCixzwfUVOVwOOM9ZgsgpA8g3H8Wq1auhCbTSbnNooBMJZb4HhwqZmZsEpCLvVTPKgYos31lCODauhv7HpR7eEY33binYeTN2NdqTyB6jvEkwTsjmHi1usZeY7yOTDMuHTPkWpFdjvSiaeEKVP1Epks71qDmoafl1orjajSu1mLBw2nUa5fAKGLXycuJ/TIK5g8KUIACFKAABShgQgEGDU04KGwSBShAAQpQYKzATTfdhBvmF8v8TC/CodDYQ3w9A4FQQAKGsvDJqlUruVLyDPyueolWhnq+AyARAABAAElEQVQJlLW8G7lXYO97zXhCLlJxOnuJRAy9NlTdU43a+9ZDf7cOrZ5YiRJqHA0ajn0dOz7J8xR1TXK27NLglLo73nYbU5vRdxBWux2dX3qxW46+/8bz2HBXJXBqzOrHhwCP128U1/l2A3C3VYqJ38eJ9Y4PPV5jvyYWwvcUoAAFKEABClBgDgQYNJwDdFZJAQpQgAIUmK7AkiVLIhmHKnA4MhpZmW4xGX9+6NIFYOAsvvnNb6KoSObOckuAgIYN+7vgfKXCWGyk9NUuo45SmVbsuG872u54AnZjMRMr6vy70PKAyjSUYB7cqPhOqyQhjn0daZ4KOEqozgg8Rvaon2oqc/y6Lp83/pXzoVbsKKqPtGFhFWpfO4Dam51o/CFwpz2yEMp2jxOuQw2of8uD9b/YhubvlRp9aT5ZC5fxsZm63rGZjJfbfWW/xreM7yhAAQpQgAIUoIC5BCwy1Ylzncw1JmwNBShAgaQK+Hw+2CXThltqCPT29qL39NewzL8Rltz81Gi0SVo5MuBD9tBFmZJ8M6xWFcrhligB915Z+fhbtahcIuG+AQkGFm9Ea6ALrui0YN3vhy5TjG1F0R2qIbFYuJrKO/b1VRo5aV29bfAc6IEWuwehUYYsxCKTmqvvqTSCj/qATFWW42Nnp6t2QbNF9o1tg9ynUAUzx547ab1j+jhps8eWOeGET+69f8Iec7/tbpT7Pk5ze/h2rlA+TTKeTgEKUIACFJhTAWYazik/K6cABShAAQpMT0Dd43Dpkpswcu5LhPSL07s4g88O9/dBCw/BufoWBgyT8DnQ+tpQtdSKLS/KSsXFFcAL2+EcEx/UbLbxAUPVJhUsjN37b+zrq7R30roK7SgrLUNpqdz5cPRRhrKlttHSNAlYjg0CqgOqXaP7xrZBdo7uj5Ywab1j+jha0dgXY8scu5+vKUABClCAAhSggAkFmGlowkFhkyhAAQokU4CZhsnUnr26+vv7ccLjQSi/GNnGQg6zV3Y6lRQeGQYkYFhcYMWKsuXp1DXT98Uv9wXsOSb38LOvQWW5I6HtTWZdYzsyV/WObQNfU4ACFKAABShAgUQJMGiYKFmWSwEKUCBFBBg0TJGBmqSZw8PDEjj8TFZjlcVRiktgycqe5KzM3WWskHyhD4sXl+LGG2/MXAj2nAIUoAAFKEABClCAAjMQ4PTkGaDxEgpQgAIUoIAZBHJzc3HLN1dhoa0YobOnOF15zKCE+s8i65IfK+X+hQwYjoHhSwpQgAIUoAAFKEABClyjQOzOMdd4Ok+jAAUoQAEKUMBsAosXLzZWAv78iy8QGg4AhQsk6zAz/y4YGrwkC2+cw/x5xVj2zTXIylAHs31G2Z6rC3AhlKsb8QwKUIACFKAABZIrkJm/USTXmLVRgAIUoAAFEi4wb948rFu7FgsKNck6PIlQ4ELC6zRTBeHQCMIXziDr4lks/8YSlC1fxoChmQaIbaEABShAAQpQgAIUSDkBZhqm3JCxwRSgAAUoQIH4AkuXLoHdbsPJU19iyH8R4QIbsvKs8S9IgyMjF/0IS3bhIrlv4U2LV8JisaRBr1KrCyO9XyHbsTi1Gs3WUoACFKAABShAAQpMKcBMwyl5eJACFKAABSiQegJFRUVwrr4FSxyLkDVwFuHzpxEe1lOvI1dpcejSBYT6vkBxdghr1qzBkptuYsDwKmaJODz0z/txqeVHiSiaZVKAAhSgAAUoQAEKzKEAg4ZziM+qKUABClCAAokUuOGGG/A769aitMQOXPjaCB6GhuSehym8hcNhhC6eN4KFBRjCyptXGA9N01K4V6nb9OF/+1cE3vxLhLxfIvjFZwgGgxgaGsLIyIg5O+X34OChXqNtPa9bYPmRexbbqaPdZUHrER360VZYXK1Iv1D9LHKxKApQgAIUoAAFTC/A6cmmHyI2kAIUoAAFKHB9AosWLYJ6nDlzBr1ffy1BNwvCWjGyrMXXV3ASrw4HhxAO9Bv3apw3bz4cEixUGZXc5k5gRIKEl37cDIRCRiMCH34A/Y7/yQgcqrEpKChAdnb23DVwspp7O1DlAsLhzSi7rxvdOWWTnTXjfSokPxooPDTjYnghBShAAQpQgAIUMIUAMw1NMQxsBAUoQAEKUCDxAgsXLsS6W2/F8qU3oQCDCH7tQbi/D2bNPgxLMEpNQQ77vfLoxcJiDbfKNGSVXciAYeI/L1PVEDrbh4t/8TIwOBoiw/BHB3D8+HHj0dfXh+Hh4amKmPYx91uNxvRzdc/KxreiGYJ9bjRKdp/aZ3FtQeepSHs87zSh7qlGbKmOHNuyU84/1YEa5xNS7xNoeLsHfncHOj7yA0EPmh6sQ+NzDdHyt+CgkYyoY89TDdhzPNpHub7uqT1GUFA/1TlatsUl5xyRcibZ9KPtqNnUjthR/Ujk/WW1SS7iLgpQgAIUoAAFKGASAQYNTTIQbAYFKEABClAgWQLz58/HN1euxFoJIDrsxcgN+DFy5vNIAHFQFk+RKcBztYWDwxIoPG8ECUfOfIairCCW3VSK8t/9Hdwk9yzMz8+fq6ax3qhA+NJFCRi+JNPdfeNMsn1n8eW/HMSxY8fwtWS06rouSYiRLMRxJ87gjX9/Iyoe6cEBbwCBY/vQ9EgF2k/1omlhBXqf6kJgOICuZ4A7lz4BT1Cy/fxd2PNqB9a/5oPvcBuaN1XgYFE1dnRuk9qfx/P3OeHrbcOWz7zyXkfXz/agw7oBvn4v2h5vRpUKMsrm298K74DxUsr0SJmqzzralt4Jz8Pdxr8rJ16woe7h3ZczDCOnGz+15U54d9ZLMDOys/O1enjXOcHJ9GOQ+JICFKAABShAAdMKcHqyaYeGDaMABShAAQokViAvLw83yorD6qECPOfPn4fPfx4Xfb3IyS9AOFcCdPKw5GiwJGiaaXhYph3LIi2W4GDkGWHMnzcPtpIbYbPZuLBJYj8C0y49LPcsvCiLnoS+ikbBJpQw79Pf4LeOZcZ0eBXkVRmhWVnX/zfqzp80wfVGNyodKtxWDd/JE8D5TthRixMPuaDJN1rXQ1uwcUMpOo/uQJV8nl2vtaF6pU3Or8Uu+dn1mY7NpQ6gHCiVYjwohVxp9ECXMlufXQ+blFP75A5gXRf0P3YaxxD7tiz/HkQ2DRvPnMCawxJEfOsAut6RKdqlbdFjE540F7b/ENiytwe13wdadgLbz8j8aG4UoAAFKEABClAgBQRiX4NSoKlsIgUoQAEKUIACiRJQC4mohwogqkzD/v5+XLx4ERf6BxBQU5gl+TArNw/IzkUoK0eCiPIVQj2rgFCW3LdOpofKi8iTvDKyFVXGYlgyzUIj8iQLY4QkBWwkCIt6lozC4PAg8vLyUVhYgGIJEKoAk9VqTVQXWe51CqgxDfzVjzHym+64Ja2SLNHOCxegpidfkGe1GE9OzvV+3YxM5lWBvtimFdlx/qy6g6AT1ljxwcgiP3bbmBOjF1glUKjLeUZJh2KlTHiWj6URIBwNDo4/rgKTxhZUGY4r0PjANslKXI+ah55G0wvxFxiqemwX3Os64F6to6N8F3aXjC+X7yhAAQpQgAIUoIBZBWJff8zaPraLAhSgAAUoQIEkC6j7w82TbD/1KC2NVK7uTxcIBDA4OAhdHoODQxiWqcxqtVy1Uq4KCqqgUmxis9xJTgKKFskyyzYWw8jNzZUAYS60QqsxxTgWpJyNLLQk82RsdYO72zH8q3+esv8LEIJ94Dz8fr/xUBmsakr59Y2zBuc91eh42w3/w07Y+g7CurAKuz3dkh/YgH2HJMOw3Ab/oQ604mlsk2TC8ROngdGQngoMSugwEoacsiuRgxJg9Hj9wFoHOt9uAO6WjMKgF7vl6PtvPI/1NuDg69vkXTQrcZIitbU12CZZjRXfA7Z1ejk1eRIj7qIABShAAQpQwJwCDBqac1zYKgpQgAIUoICpBFTQTz24ZabA4P5fYvDv/99r6vytw5fQFc02VNmqxcWyUvd1TlF2PtSKHe+Uwm6pN9pQ+9oB1Mr9Aqs6d6DUZZfQYWRrc/vgkG+3Kmg4NjMxlr+q2exypA71O9dj+7hzJNM2UkTkZ7m6QsP6X2xDw/dKIROQUf14LVxqwW7NiUaZcnynXWXXynTmHz4N16EG1L91m5Q8ZiuPvXag9s2NaHzEh9pKiWhyowAFKEABClCAAikiYJGsgFhSQIo0mc2kAAUoQIHZFPD5fLDb1S/S3ChAAQpcKTB86GNcapEQm5pqfg2bT6ap/3jBN+B0OvH7v//7KCsrm7Vp5/qA5AjK9GGZSX95C+qS1ahDkynuo1OILx+98pWRbSi7r/VP55ItKaWPr1Mu1yWbUiqN7L9Kme7XK1DhbUH4pcor2xPd88m998c9ZsYD3Y0qlDq97eHbl03vAp5NAQpQgAIUoMCcClzr16U5bSQrpwAFKEABClCAAhRIvkDQcxyX3vjzaw4YqhbaZYryosCAMT353LlzcDgcszBFOdJ3rWhstDDqIUFEW8kk+6OHr3ia7rdfdb/PKwpR8UKZmxzb4papo32TVTIbZTrzmfgBw1gxfKYABShAAQpQgAJmEmCmoZlGg22hAAUoMAcCzDScA3RWSYEUEAidOY2Bl55HuP/CtFv7z1kaPr7pZpSXl6OiokLujVk6CwuiTLsZprjAf7QHvpIylE0nsGmKlrMRFKAABShAAQpkuoAseciNAhSgAAUoQAEKUIAClwVCA7J69p+/NKOAoSplXWgIAwMDOHv2rLGKslpIJ1M322onA4aZOvjsNwUoQAEKUCDFBRg0TPEBZPMpQAEKUIACFKDAbAqEh4dw6fX/itBp74yLnS9TlB3RKcoqm1mtvB0KXds9EWdcKS+kAAUoQAEKUIACFJhVgbh3YJnVWlgYBShAAQpQgAIUoIDpBcIS2Lu083WMfPrb626rWkX5V/39RrahyjqcjVWUr7tRJi6AC6GYeHDYNApQgAIUoECGCjDTMEMHnt2mAAUoQAEKUIACEwX0v30Twa5fTdw9o/e3yqrGFyVY2NfXh34JHmbyFOUZAfIiClCAAhSgAAUoMMcCDBrO8QCwegpQgAIUoAAFKGAGgcH39mHoHztmrSnzLGGUXurH+fPnoVZR1nWdU5RnTZcFUYACFKAABShAgcQLMGiYeGPWQAEKUIACFKAABUwtMPzJh1BZhrO9qSnKFy5cMLIN1RTlkZGR2a6C5VGAAhSgAAUoQAEKJEiAQcMEwbJYClCAAhSgAAUokAoCobN9CLT9FAiHZ725a0Z0XLp40cg0VBmH6TZFWT/SAoulBXocOf1oKyyu1rjH41zG3RSgAAUoQAEKUMAUAlwIxRTDwEZQgAIUoAAFKECBuRHIuqEExc1/iZHTvdCP/wb9PUcwdOIYtL7T0MLXt+JxsQW46dIF+P1+xFZR1jQNWVnp8XdrbXkdug4DWryhC6oD1vjH413H/RSgAAUoQAEKUMAEAunxjc0EkGwCBShAAQpQgAIUSFUBi0WieyULEbjlVnhurcDfL1+Dv1i4Aq9oJWjPLsavkTvjrjmHIlOUz549CzNOUfbsb0GF9F8ZbNl5MJIVGPSg6cE6ND7XYOy3WLbgYK8QGPsb0PRiXSSD0N+Ftr3dEZs+NxpdkXIs1Y1wq/NzrMChejRsqjHKqXiqHX4jkDhjTl5IAQpQgAIUoAAFkibAoGHSqFkRBShAAQpQgAIUMK9AWKYnB4NB476D+fn5sNvtyFp4I75YsAhn8iX4FWcLXmVW89rQIAIyRVkFDdX9Dc00RVk/1IIV6zvRcjKAsK8b2qYqPPGOivbp6PrZHnRYN8DX70Xb482o2umO7m9F48lqdL9TB/i9aN7qkbN70biwAu7HDiAw7MO+8iZUPLZnVMz50A4EpPyKV+vRcsg/up8vKEABClCAAhSggJkFOD3ZzKPDtlGAAhSgAAUoQIEkCagpw0VFRViyZAkKCgqMVY/7+/uN7MBvHjoADE7ekH/IsuKwJRdLwiO4KRzEEkSeCyR5UW2F8rwkcHkV5cWLF8MsU5Q9H8lq0eVV8PV0Qq0bbS0HWvd3Y9fdpRIIrEbrs+thk2/LtU/uANZ1QX+2ytjf9eONcMp+fcDoInC8E01yfvf3K6HJ/uoXfDjxmRwL7pYfu/D0HWXGiZv/zIWNBz14/vdcxnv+oAAFKEABClCAAmYWYNDQzKPDtlGAAhSgAAUoQIEkCWRnZxvBQhXUKykpga7rGBwcNJ5tH+2P24pTyMY5Szb82bnokTLUNF+VtWgbGcbi0DBuCgUxLzgMj2QZxqYoz5s3zzz3NSyVrslKJrpMG3Zt3Y19pSrAF13aRE0lVt+WcybctTC2Xw5d3saeo8FukyN9kaOqNHVUs0ll+tjzIsf5kwIUoAAFKEABCphRgEFDM44K20QBClCAAhSgAAXmQEAFDtUjLy/PCCAaU5YvnMfgwIW4rflKAoYqS1FNaVbBQJWlqK4bGhrCSQk8firPoVAIBTL1Wa2grO5rqKYo5+bO/D6JcRszzQP2EgnieW2ouqcaNgkU7tlkRdsdJ1D9e9MsaLlL8gzrceCIH85yGw6+akXV/t0IvDLNcng6BShAAQpQgAIUMJEAg4YmGgw2hQIUoAAFKEABCphBQGULquCh2sJfnYzbpLPIQsCShRwJGqqA4YoVK6AyFdX1ly5dMgKEF+V+hoGA3DNQAokqUKiCiereieq9Om8uN8d929H2gR12yxORZjywC94HVKZhjzy08asel1++r+O4XEG1P8eJ1s4dKHXZ0WCUVIv3vbVyz8NWmf58+Tp1qHTcxcbJ/EEBClCAAhSgAAVMKWCRL2xXuX21KdvNRlGAAhSgwCwJ+Hw+Y8GDWSqOxVCAAmkmoO/bg8G9fzNpr/5VVlVuyy4yMhOXLl2K2267DStXrjTuWaiyCdUUZxUwjD1ycnKwaNEiOBwO4/6Jcx00jHVK9/uhyxRkW9F1RvSCuvRZwo0zKOeTe++PNSclnrsbm6fdzodvXzbta3gBBShAAQpQgAJzJ8BMw7mzZ80UoAAFKEABClDA9AIjn5+I28ZTlhwjWzB2P0SbzYYFCxaMTlFW05JHRkaM6cgqw1D9rVpNfVZTmc20adLu6wwXRrojgUetyEw9Y1soQAEKUIACFKDAzAUYNJy5Ha+kAAUoQAEKUIACaS8w8tkUQUNZBEVlC8bugajuZ6hex6Y2x3DUaskqgKg2dX7sETvOZ+C2X/w8pRhuS6nWsrEUoAAFKEABCsxEgEHDmajxGgpQgAIUoAAFKJABAqGBfoTPRZcAnqS/ahGUWNCwqKjImJasFkWZuKlzJgYSJ57D9xSgAAUoQAEKUIAC5hK48lududrH1lCAAhSgAAUoQAEKzJHAyGefxq05tgiKChKqTMLi4uK4QcO4hfAABShAAQpQgAIUoIBpBZhpaNqhYcMoQAEKUIACFKDA3ApMeT9DmZqsNhU0VPcoVJmG6lllFXKbvkAqLYQSuGkZPI8+Of1OzuIV6xbPR/kS2yyWyKIoQAEKUIACFJgowEzDiSJ8TwEKUIACFKAABShgCEwZNIwugqKChlar1Vj8RN3PkEFDfngoQAEKUIACFKBAeggwaJge48heUIACFKAABShAgVkXmO4iKLm5uQwazvoosEAKUIACFKAABSgwNwIMGs6NO2ulAAUoQAEKUIACphaYrUVQTN1JNo4CFKAABShAAQpQIK4Ag4ZxaXiAAhSgAAUoQAEKZK5AOi2Coh9pkQzIFuhTDKf/uBvuU1OdMcXF13Io6If7Q/eUbbiWYngOBShAAQpQgAIUSJYAg4bJkmY9FKAABShAAQpQIIUEpryfYYotgqItr0PX4TpoU/h7361AxdueKc643kNeVFRWoCd4veXwegpQgAIUoAAFKJAcAQYNk+PMWihAAQpQgAIUoEBKCUwZNEy1RVD8XWjb2w0EPWh6sA6NzzUY9160WLbgYC/Q+14T1qjFgJ9Zg/ajkm2oe9CyqSJyTnUjOqMZiJ53mlD3lDxkheiWIzr0451ocFmM82qeakdvNCDY+2ErKuQctShMzXN74Jfymu5dY4x/xQ/amW2YUv8msLEUoAAFKECBzBVg0DBzx549pwAFKEABClCAAnEF0mkRFN3vRfNWjwTrdHT9bA86rBvg6/ei7fFmVO10w3HH03j/BRfw7D7UrtbRWrkCHetaEBgOo/v7wJ1LG42AoC7Bxz2vNqK6sxv1S3pQt+pOuH7iRXjYh81aPUp/0CGByR5srGzAlp6A7Pei+uU6bPvAiqffeB9SA/Y9UztlxmPcAeEBClCAAhSgAAUokGQBBg2TDM7qKEABClCAAhSggNkF0m4RlJzL4jqq0frsetiKHKh9cgewtQt6joZSRylcpWXQdC/2HAJcNh863+2AZ0Bd24yuPnnSdbhe68bGO5zQTnWhQ8qyn+lGx7td8FslJLjzAHphR5WcWv/QE2h9pxvrj3mx/S4HNCm/VM4vWz7VJGlVFzcKUIACFKAABShgDgEGDc0xDmwFBShAAQpQgAIUMI1AOi2CMilq7L6CEiy8YosGGK3qOShTlYuqsLt9H5xFE84cDURK/qIscmIrb0TbnhrYchx4vt+H7leq4f+gBWtWlaLh7Z7Ri/VY3aN7+IICFKAABShAAQqYU2D06445m8dWUYACFKAABShAAQokW2DK+xmm2CIo07KTTELAJhmB8nNVFap/zwb9aDuszk50D1ePK0orshvvy75TjUob0PN2A9bsrUb4joOw2LfL+bvx9B21qNIsqJJ7Iu4yJiV7JRA5rhi+oQAFKEABClCAAqYVYNDQtEPDhlGAAhSgAAUoQIG5Ebha0FAt8JGVlQWr1YqCggLk5eUZi37MTWuvsdZya/REbfw9BaP7tRIn3LL4SevdAWx3t8HusuOJ6BU7DnrhlG/NKl+wNJacuKQWXe0HUGG3RM+qxQFvrUQbdex71oM1ubH91djX45RzpAy4UfGdVgTcG8e3IVoCnyhAAQpQgAIUoICZBCxh2czUILaFAhSgAAWSK+Dz+WC3RzJmklsza6MABcwqcOGZHyB8Tt3E78rtLy1F8OTko7i4GKtXr0ZlZSVWrFiB/Pz8K09OtT0qCzD2J3WZmuwf0KEV2aDF9k3WH8lO9EuCos0WiyZGTtIH/OoWiNBsY66PZRlOUt4n994/Wemm3Be4aRk8j6rlpuduW7d4PsqXSIonNwpQgAIUoAAFEiYwyVeWhNXFgilAAQpQgAIUoAAFTC6QdougTMd77Ddjud/hxEDgpEVpct74eKFxmhFsjHsfxElL4k4KUIACFKAABShgKoGxX41M1TA2hgIUoAAFKEABClAg+QJTTU0+iywELFnIlanJmgTLioqKjGc1VZnb9Qnc9oufX18BSb7620muj9VRgAIUoAAFKJB8AX7DS745a6QABShAAQpQgAKmFZhq5eRT6bwIimlHhA2jAAUoQAEKUIACcyPAoOHcuLNWClCAAhSgAAUoYEqBqTINVdBw7CIohYWFqbEIiiml2SgKUIACFKAABShgbgFOTzb3+LB1FKAABShAAQpQIKkCI5+diFvfKUuOETRUqyWrVZPVIzc31/wrJ8ftkXkOpMpCKN2NzeZBm8WWPHz7slksjUVRgAIUoAAF0kOAmYbpMY7sBQUoQAEKUIACFLhugYxeBOW69VgABShAAQpQgAIUSC8BBg3TazzZGwpQgAIUoAAFKDBjgammJscWQVGLnnARlBkT80IKUIACFKAABSiQMgIMGqbMULGhFKAABShAAQpQILECXAQlsb4snQIUoAAFKEABCqSSAIOGqTRabCsFKEABClCAAhRIoMBUmYaZuAiKfqQFNT9yXyGu9lssLdDln3aXBa1H5NXoPsB/3A33Kf2K67iDAhSgAAUoQAEKpJIAF0JJpdFiWylAAQpQgAIUoEACBbgIyiS4mnbFTm15HboOA+pIQB4qPDh2n+fdClTo3Qj/Z+cV13IHBShAAQpQgAIUSBUBZhqmykixnRSgAAUoQAEKUCCBApm9CIqOgzu3GKtAWywW1L24B/6gwtbQ8W4rtjxoMY6N7vd3oW1v9/jRiO7rfa8Ja56UQ8+swV93/DVqNrXDHz1TP9JuvGcO4ng6vqMABShAAQpQwJwCDBqac1zYKgpQgAIUoAAFKJBUgammJqf7Iij6kVZUbfKjuz+McOAEyrbWoe2ohPZyrMC7nah6zouArxsVsr/+r3qg+71o3uoxMgxjgxTbZ7vjabz/ggt4dh/+w/rfgXdnPTpPRc7qfK0e3nVOI0Mxdh2fKUABClCAAhSggFkFOD3ZrCPDdlGAAhSgAAUoQIEkCmTyIija2o044XbDs38PDhztQrO471L2QR/w+HbUljvkjQObO59H4/oD0HvUwQlb7Ft1joZSRylcepmsMu3E9h8CW/b2oPb7QMtOYPsZCShyowAFKEABClCAAikgwEzDFBgkNpECFKAABShAAQokWmCqTMN0XwSl971mrHBV4WCvjjV31OB5wY5NIa5eZR9P/4B9WpmCVY/tgvvJDrglINlRvgtVJeOL4zsKUIACFKAABShgVgEGDc06MmwXBShAAQpQgAIUSKLAVIugfJmVY9zTLy8vDwUFBcYjNzfX2JfEJiasKt/R3TKd+ACef3wDKpcDar1kY/mTHDs6nmnEQeOmhH50/KQJrruucXETPRJ21NbWYBu2oOJ7jdj2Ss20Ao4J6zALpgAFKEABClCAAtcgwKDhNSDxFApQgAIUoAAFKJDOAldbBOVLZI8GDYuKimTarYasrPT5Gll21xbg5Sqjj5a7tsP5uAsN657A0RE16h2osquFUOyoH9iBjkejQcNyud+hbOrn6PrK0X1aiRPuZyrQekQFDh2ofXOjPNeittIhz9woQAEKUIACFKBAagjE7r6SGq1lKylAAQpQgAIUoAAFZl1gqqnJsUVQciVIqIKF6Rg01FZvQHi4Fv4BwGaLhAC3/1iY5ZtyOLxB7m2ojzuG1RsRVumIsm1whyMvcHlf2X3bpbztxvXqoC4rK+PZFjhHo4vRS/hEAQpQgAIUoAAFTCzAoKGJB4dNowAFKEABClCAAskQmGpqsrqfodpUZmF+fr4RNFTPFoslGU1LXh2ygInNNqa6sd+SJx4bc1rcl8b1Oto3WVEvC6C8f6Yy7qk8QAEKUIACFKAABcwoMPbrkBnbxzZRgAIUoAAFKEABCiRYYOTzT+PWkO6LoMTt+Kwc0FD9VDdOvFSGsqssgHLbL34+KzUmupDbEl0By6cABShAAQpQwDQCDBqaZijYEApQgAIUoAAFKDA3AlNlGqb7IiiJFretdmJsAmOi62P5FKAABShAAQpQYLYE0ucO1rMlwnIoQAEKUIACFKBABglk+iIoGTTU7CoFKEABClCAAhSYlgAzDafFxZMpQAEKUIACFKBAeglk+iIoZhnNT+693yxNuaIdF5fdjM8f/sEV+7mDAhSgwFwKPHz7srmsnnVTICMEmGmYEcPMTlKAAhSgAAUoQIHJBaaampwxi6BMTsO9FKAABShAAQpQIKMFGDTM6OFn5ylAAQpQgAIUyHQBLoKS6Z8A9p8CFKAABShAAQpMLsCg4eQu3EsBClCAAhSgAAUyQmCqTEMugpIRHwF2kgIUoAAFKEABCkwqwKDhpCzcSQEKUIACFKAABdJfgIugXMcYB3tQY6lBj34dZfBSClCAAhSgAAUoYGIBBg1NPDhsGgUoQAEKUIACFEikwLUsgpKVlQVN01BUVGQ8q/fcLgswZnjZgq8oQAEKUIACFEgvAX7rS6/xZG8oQAEKUIACFKDANQtMNTU54xZB6TuIBtcWuAeifHoPtlRvMTIJe/e3SlahBRZ5VDzYDLd/PLFnbyMa93oiO4MeND3YiJ5g5K1nfwsqotdu2XkQDDKOt+M7ClCAAhSgAAXMK8CgoXnHhi2jAAUoQAEKUIACCRXgIihjeEuccB5qRsv+XmNn73utaPY6UZbTg+r1DajvCSAcDmDbki3Y+LOeMRcCel8Hmk7FIol+7P5ZB3QJGuqHWrBifSdaTsq1vm5om6rwxDuR8scVwDcUoAAFKEABClDAhAIMGppwUNgkClCAAhSgAAUokAyBqTINM28RFBvqf7ERrVs7Dfp9W5vx/Ct10HKc6DzWBcfJTrTvbEHrq0DpFYNTChe06F5NjkfO8HzUAZRXwNfTiY6PPLCWA637u6+4mjsoQAEKUIACFKCAGQUYNDTjqLBNFKAABShAAQpQIMECXATlSmDHHZvhOtSGzkMdaDlUi/rv2IDeTthXVaDlQw9s69aj7oeA98pL4+9R8UOZk6zLtGfX1t3Y92BZ/HN5hAIUoAAFKEABCphIIMdEbWFTKEABClCAAhRIgsDp06fR29uLr7/+Gn3y+tyZMzh//jwuXrqEgD6IoZEggiMjMhUzbLQmJzsbeTk50PLyUFhQgHnz5sG2YAFKHA4sWrQIDnlevHgxuEBGEgZvFqu4lkVQcjNtEZQiF7Y/24E7XR1w/VkXnPJNWe9TU5G3ofWPN8MW7EXLC5Jp6JwwELoXbo8KJTrRu38PJL8Q2+VhL5GIodeGqnuqYZPI4Z5NVrTdcQLV/27C9XxLAQpQgAIUoAAFTCjAoKEJB4VNogAFKEABCsyWQH9/P44fP47jv/0tPMeO4aTXi2IJ/i2UxwKJCdosgCM7B0XZWSiwFkArKESeJQs5WXIguo1I8HBIHoOhEALyGPD5cKGvD+d6juJTOe/McBCnLw5giQQQl69YgZtvuQWrVq3CwoULY0Xw2YQCU01NzrhFUMaMT9WGNuDlemx7yGXs1Vaux9NYA7ulUd678PSzG9GxaQ3aq9yR4/Kz7O5tcK26ExaZuoy7N6JapierBU8c921H2wd2ufYJ41w8sAveB5hpGMHgTwpQgAIUoAAFzC5gkSyCSBqB2VvK9lGAAhSgQEIEfBIAstvtCSmbhc6NgMfjwZHDh3G4qwu9kkW4vKgIS0JhLMnLx+K8XORL9thsbyH5OuEdHsaXQ0M4JfHGzwIBaFYrbl23DuvKy3HrrbfOdpUs7zoFLv64GcGuX01ayj65P99/z5EgsqZh5cqVqKysxC0SDC4sLDRWEJ70ojTf6ff7oRXZ5B6H0lG1MvLEP70HdegSKdSKYvc2vAyiy7V6jgbbJMdiZ31y7/2xl6Z7vrjsZnz+8A9M1y42iAIUyGyBh29fltkA7D0FkiAw8etOEqpkFRSgAAUoQAEKzLbAqVOn8PG//As+/tWvkCXBu1WSPXiHBAmXO65csmG261blZVksuEmyF9XjdrWjsAi9EkA8fuhf8YtDh9Aqr10SPPyWBJ9Wr16tzuA2xwIjn30atwWZtwhKXIrRAzab3N8wtk32DVqCglpR7ITxz5pce2Uocfw5fEcBClCAAhSgAAXMJjDZVx6ztZHtoQAFKEABClAgjsCBAwdwYP9+nPn6DNbl56E2X1ZuLSqOc3ZydzskgKge35Zq/cEgumU68//zb/+GUG4eqr77h/j2t79tZK4lt1WsTQlwERTzfQ5u+8XPzdcotogCFKAABShAgYwWYNAwo4efnacABShAgVQUuCQLlvzTP/0T9r/3nkw3zsNtklW4uqTE1F2xyUIqVcXFqJJWfjE4iEOdndi7dy/+hz/4A6y/6y5jMRVTdyDNGsdFUNJsQNkdClCAAhSgAAUokAABBg0TgMoiKUABClCAAokQCMh9An/5D/+A9yRY+LuSTbhBHiqTL9W2b+TnQz3Wy8IrH/3613hZplRXyNTl79XUoLQ0OdOpU81sttvLRVBmW5TlUYACFKAABShAgfQTYNAw/caUPaIABShAgTQU+AcJFr77d3+HtbK68fdvWIgFuan/f+FF2dm4Y958fLtoHg785jd4ye3GH1RV4X/+9/8eRbJ4C7fECUyVaahWTrbIPSqzZMEcqyxmoxY/yZPgtNrHLXECZlkIRV9UihObtiSuoyyZAgkU4MIYCcRl0RSgQEYKpP5vHBk5bOw0BShAAQpkioBbAmn/7W9/hpLQCP43WeX6RrkfYLptuVkW/KEED2+XQOEHknn4/MGDuPe++3DnnXemW1dN0x8ugmKaoWBDKEABClCAAhSggGkFGDQ07dCwYRSgAAUokMkCfr8fP29vxxfHP8V6TcMtJlncJJFjYs3Kxvekn78jqz53/vKX+FgWeXmgvh4rVqxIZLUZV3ZoYADhc31x+/1lNNNQZReqjE9NPn8q65AbBShAAQpQgAIUoEBmCfAbYGaNN3tLAQpQgAIpIHBQMu3+zz/+Y1g9n+H7kl14i0wRzaRN3adR3a9x7cWL+ItXXsHfybRsbrMnMPL5p3ELO4ssBCxZRpBQBQsZNIxLxQMUoAAFKEABClAg7QUYNEz7IWYHKUABClAgVQRGRkbw162t+OXu3Xhovg3r581LlaYnpJ0VhUX4QclCnPjgAzS//DJOnz6dkHoyrVAugjLNEdfdcj/HCrj1idfpaHdZ0HrkigMTT+R7ClCAAhSgAAUokJICDBqm5LCx0RSgAAUokG4Cn332Gbb9yZ9g5Le/xSYJGKrVhbkB82SxlAck63C5z4+mF1/Exx9/TJbrFOAiKNMEzHGi290GpzbxusgOhgwnuvA9BShAAQpQgALpIsCgYbqMJPtBAQpQgAIpK/CrX/0Kf/qnf4rfCwZxdwbcu3AmA1VVXIz/db4dP29rwzvvvDOTInhNVICLoEz3o+BFx5sd8AblumAv2p+qMVaSrnuqCbsPAbHQYefrDcZ+i6UGrR/2RivRcXDnluh+C+pe3AO/KocbBShAAQpQgAIUSAEBBg1TYJDYRApQgAIUSF+Bjo4O/Le/+Rs8KtNw1XRcbvEFyrR8bJQszN/88z/jr954I/6JPBJXgIugxKWZ4oCOtlfbjGBfxw9KUX+qFid8Pmz7DrAnepX79Trc+W4lvIEwfD0b0VBZij2nAP1IK6o2+dHdH0Y4cAJlW+vQdpS5iVNg8xAFKEABClCAAiYSYNDQRIPBplCAAhSgQGYJ/I1kzf3r/v14lNORr3ngi2S6cr1kYw59+in+/M/+DIODg9d8LU8EplwEJWzhIihxPiSlKJUjvTiwE2h7aSPKbDY479uM7bJXl396ftoBV6UV3e91oOukDpfsP9DTC23txv+fvbcBj6o887j/AwlMIMAEQRPkKwhIEDQTxUpaagnVlmS1Nal0SarXtonstljfraRelzVlrypZ961J3RehbsXYDzdxt5bYSgm7dQltrQQVM1EwAUGCEpzIhxkEzSCBvPd9ZiaZJDOTmXzOTP6PTmbOOc95nvv5PYfkzP/cz33jiC0f9l2VKHuiDKWyv8cqZ9nHQgIkQAIkQAIkQALhSICiYTjOCm0iARIgARKIegK/3LIFzW+9hbsnTMQEEcJYQiNwuwiHk0+dxs9kWffZs2dDO3kE1w6YBMUUY5AZNWoUxkpMTc2crO8mk2kEE/MaulOWKcumucMh2AyL57BoiiorqoDocFpQVFmOnGQLml8qxRxrOmqanVi4PAsPGXU8J/GdBEiABEiABEiABMKbAEXD8J4fWkcCJEACJBCFBJ7++c/xqXjKfVOEr1EUZPo8w7dInMPZ587h/3vsMXz88cd9bmckncgkKP2YbXMK1qYCZdtsRiPOA1UokE9m/U+ERLslBZm3ZSP7lmRUZeehUfa3HNgKPLgbD92Ti6WzAT2TnoYGPv4gARIgARIgARKIAAIUDSNgkmgiCZAACZBA9BB45j9+gfPvvYdsxi8ckEn90sRJmNvaiidKS/HJJ58MSJvR3Egg0fD4qBjDq3DMmDEYN26c8YqNjaWnofuCUHEwf9tOYE2awSQuJcc4EicOmtlP1SLjPtd+U9xCtGzcjdy5QPIthcCj6UZ90y0lSLnHioLF96KByVCi+Z8Zx0YCJEACJEACUUPAtQ4laobDgZAACZAACZBA+BIo//Wvca6xEXcyQ/KATtLNIhxeFE/Dn//7v2Pdgw9Cl9ey9CRgJEE5fbLnAfee4xhtiFsqGurSZLPZTJbKJiYF29u3uyhNz8D2C61wOJywTOlYnCzHrChpb0eRwyHcLPJyVTcvyEX7hWw4zgEWi2tnyc+1Tddx/iQBEiABEiABEiCBcCbAu+pwnh3aRgIkQAIkEDUE/vCHP+D42/UiGHYERIuasYXDQDImTsRlIhz+YtOmcDAnLG1gEpQBmpYYiWXYRTDsbNciCVI8gmHHXq3vFgyNfRQMO9DwAwmQAAmQAAmQQHgT4G1LeM8PrSMBEiABEogCAi+//DL2/uUv+AfxiGMZPAIrxYPzd8ePQ7NS/31e3uB1FKEtMwlKeE/c9S/+LmwM/HzYWEJDSIAESIAESIAEhpMAPQ2Hkz77JgESIAESiHoCBw8exH8/95wRw3AcsyQP+nzfIbEiD9ls2LVr16D3FWkdBIpn2ORemqxLu+Pi4jB+/HjoMmVmTo60Waa9JEACJEACJEACJDBwBCgaDhxLtkQCJEACJEACXQick8y+v376aXx9kgWJIsCwDD6B0ZKN+mvjxqPyd7+DCrYsnQQCiYZMgtLJiZ9IgARIgARIgARIgARcBLg8mVcCCZAACZAACQwSgWefeQbXwIRrJBMty9ARmCoZf2+XpeDK/8cPP4yxY8cOXedh2hOToITpxHiZ9cbt3/DaGr6P9UWlg9b57MvGY9lVUwatfTZMAiRAAiRAAiQwsAToaTiwPNkaCZAACZAACRgE/u///g9nm45DE3SwDD2BRSLUzpNuKyRjNQvAJCi8CkiABEiABEiABEiABEIlQNEwVGKsTwIkQAIkQAK9EGhqasJWWR771R5pVHs5kYcHlMCtkhjl/XfewZ49ewa03UhsjElQInHWaDMJkAAJkAAJkAAJDC8BiobDy5+9kwAJkAAJRCGB3/7nf+IrkyZBl8myDC+Br5jj8FtJRKPxJUdyCRTPkElQRvKVwbGTAAmQAAmQAAmQgH8CFA39s+EREiABEiABEgiZwJ///Gdc+qgFnxMvN5bhJzBL4hmmjjVj63//9/AbM4wWBBINmQTF98Q0PGGC6TFbj4PO/WUwWSvg7HGktx1OVFhNKNsf+pm9tczjJEACJEACJEACJDAYBCgaDgZVtkkCJEACJDAiCag32++3bsVyJt4Iq/n/cnw8GvbvR0NDQ1jZNVTGMAlK30gn31GP+rtSepxsFu9V1LX22B/MDj2LkmEwpFiHBEiABEiABEggHAhQNAyHWaANJEACJEACUUFg2+9/D2vcOEwbMyYqxhMtgzCZTCLkxuFFiTM5EguToPRt1h22KlS97jBObt5bgSy5jkzWHBQ/Uw6sFOFQivNwNQrEe1Cvsaz7K9DcZuyGs6kahZmu/SZrASr3u9pxHeVPEiABEiABEiABEogMAhQNI2OeaCUJkAAJkECYE9DkJ5pw44vjx4e5pSPTvGvHjwPOnsXu3btHHIBASVB0abKWUaNGYax4yMaLV6a+qwg20ktLczkKj9qB5iokLclDds0RtLy0AdhR5UJzzoaceStgfdKO9gstWGvOQ9L39JgT5TNWoPGuerS3t+PIwxbk3LWVHoYj/YLi+EmABEiABEggAglQNIzASaPJJEACJEAC4Ufgf158EV+IGw+ziC8s4UngC7FjsEPmaaSVQPEMj7WPNgRCFQ3j4uIwXkTvMeIpS9FQr5IkWGFG8z4RmleWI/+mZFimpGDdFhEO7a1wHq1FFTKRcLIeVTtq4YizAlt2i7ehGfknj6Aw0Y7KZ8tQ9mypNOXyTBxp1x7HSwIkQAIkQAIkENkE+M0msueP1pMACZAACYQBgffeew8HDh7E5ycy+UkYTIdfE+aYzUgQz6+XX37Zb51oPBBINGQSlN5nvOWAeA9Ot3RWNMvnOtl0OWnKByecbQ5YUotQXpkFC5pRPHUO0p+sgTNxIbJWrzNExs4G+IkESIAESIAESIAEIoMARcPImCdaSQIkQAIkEMYEdv7P/+AmydDLBZ1hPElu0z4XE4v/27Ej/A0dIAtDSYKiXoZmEVbV65Clk0Dy8nzxICyDzQhL6ETVM/caMQ3N8QlGpeRlmci+IxvJ56qQ95wd5jY7tsqRnU89hNxblgJNIzMBTydBfiIBEiABEiABEohUArwrjNSZo90kQAIkQAJhQeDkyZOoe+st3Dg+PizsoRGBCai34bi2NuzduzdwxSg5GkoSlAkTJlA07DbvSWbAvGgtdv7UibQETWwSh5zHpZL+c5+ejdqKFKQb+01YmNuC3Ruz5YQUFP0AWOHeX9KYAmtdAfKePQBdpCxNspAACZAACZAACZBARBDoWFgREdbSSBIgARIgARIIMwJ//ctfcIMIhrGj6GcYZlPj15zrR8fgLy+9hBtuuMFvnWg5wCQofZ/JlHu2Y7v79Iwfbkfrdx2yENkCi9fzAevqErTfsQEOJ2CxeORAM7J/1o7W9eKaKEuZRacGflriaumu9r4bxDNJgARIgARIgARIYIgJ0NNwiIGzOxIgARIggegi8IrEx0szVIHoGle/RqPLWyWZRriWa8aNw8kTJ/D++++Hq4kDZlegeIZMghIaZnN8V8Gw42z5998pGHbsFb3QLRjqLn1Mz0f1nXD4iQRIgARIgARIICII8PYlIqaJRpIACZAACYQjgddeew3TRTC4LDY2HM0bNpsuSs+Ts7JwZtcuwGEEghs2W/x1fF1MDPa88gpmzpzpr0pU7A8kGjIJSnhN8fUv/i4sDLo+LKygESRAAiRAAiRAAuFAgJ6G4TALtIEESIAESCAiCbwqXoaLRo2OSNsH02jn+fMYdcXlmJqXC0ycOJhd9bntxXHj8dqrr/b5/Eg4kUlQImGWaCMJkAAJkAAJkAAJhC8BiobhOze0jARIgARIIIwJfPzxxzh45AiuidPUBizeBC62t8Px0Uf4VWUlpvz9N2EKQ+HwstgYTI0dg7ckiU20FiZBidaZ5bhIgARIgARIgARIYGgIcHny0HBmLyRAAiRAAlFGoK6uDgvjJ2CUiQlQuk+tpnoYLclGNmzYgIMHD+LRHz6AUxUVaD97tnvVYd2+WpLX2GSJ+bXXXjusdgxW50yCMlhkB6fdN27/xuA0HGKr9UWlIZ0RFzsa37BOD+kcViYBEiABEiABEogMAvQ0jIx5opUkQAIkQAJhRqBOxKb5mvCDxScBk4ipceKFWVJSgp88sRGXrV4NjB/vs+5w7bzaHIc39+0bru4Hvd9A8QyZBGXQ8bMDEiABEiABEiABEoh4Avy2E/FTyAGQAAmQAAkMNYG2tjbUHz6MeSI6sfgnoMKhFvU4LH7y55iSmwtTGAmHFkmGkiBJbA4dOuR/EBF8JJBoyCQoETyxNJ0ESIAESIAESIAEhogARcMhAs1uSIAESIAEoofAgQMHMEfi9I2R5a0swRH4yU9+gv/36S2Gx2F7GMWBTDaNwoGGhuAGEUG1mAQlgiaLppIACZAACZAACZBAmBKgaBimE0OzSIAESIAEwpfAQRGZZmrgPpaQCPz4xz9G6a9/ham5slQ5TITD2WPGoCEKk6EwCUpIl2bgym0NyDJlocEZuFowRxu2ZCFrS/SJ1MGMnXVIgARIgARIgAQijwBFw8ibM1pMAiRAAiQwzAQOiWg4a8zYYbYiMrt/8MEH8divfoXLvrkK7WbzsA9C5/FIUxMuXbo07LYMpAFMgjKQNF1tDYBmCL3k7QPR0MAPjy2SAAmQAAmQAAmQQA8CFA17IOEOEiABEiABEvBPQMWlox98gOljx/ivxCM+CcyePRupqamorKzEKxITUj0Oh3upcowsMb8yPh6NjY0+bY7UnYHiGTZhNDTe5ChJ5KPJasZLnMkx4nHpiUEZqWMeGrudqH6iwGBlEu/Dsj3Nrm6dzSi7P8u9Pw2lL3R6E9qeLTL2p60qRNm2KiQNv1Y+NKjYCwmQAAmQAAmQQMQToGgY8VPIAZAACZAACQwlgffffx9JIjLFuJN8DGXfkdbXxYsXDTHqy1/+smF6ZmYmXqupQdV//RcWTJsGdbgau2QJ2oeZZdLo0dB5jaYSUDQ0xRgilgqF48aNM16xkhCGomHvV4DtiRys2LEU9tZ2tDTko2BpEiqbgIYtmShoykNreztaDxWhMLvQWM7cvK0QaXc3Y+ehFlStT0fV8733wRokQAIkQAIkQAIkEC4EYsLFENpBAiRAAiRAApFAoEmWsl4xmn8+e5sr9chUIeqZZ57BypUrcdVVV+F3v/sdHly3Dgdl36UzH2NMzGhMjp+ASVIvVoS74SpXwIT3jxwBli8fLhMGtF8mQRlQnF6NOdHwTBWs2Xmof6kKMDthlaO7G5qR/d1q1C6pRfULFWh4favsNRuieP2uUmT+5ggy5lpkXzbKHgbyuTzZiyk/kgAJkAAJkAAJhDMBehqG8+zQNhIgARIggbAj8IGIhlPFm4jFP4F2N59f//rXyEhJwQXx4svNzcWJEyfwpz//Gdctz8CcyZORKIJhvIiFo4bZ0/ByES11XqOlBPIyPN1uQqtkjNalyWYJsDdhwgTjXbdZgiCQBMj/Igg64XBaUFRZjpxkC6rXJyBt6WaJV5iIjNtzjBpaq3GX1LfEdTRstqjMyEICJEACJEACJEACkUGAd4iRMU+0kgRIgARIIEwIfHj8OC6LoadhoOlQ0XDi5ATMElFq/y9/hfd27sRd3/qWIVT94he/gHnB1YiRpbETxo7FWGE5epgFqyliw8nTpwMNKaKOXTz6rl97j49yXbu6FHms8I+Xpfb6zqXJfpF5HTDDHC+JTCwpyLwtG9m3JKNKvA41Gmbjo8BDNWXIX52BZLS4zzEj/TtWlD25HQ7d42xA2X02xjR00+EbCZAACZAACZBA+BOgaBj+c0QLSYAESIAEwojAyVOnMJmiYcAZiRHPveY9r+Lgr36NREmyYWr+EFdPvRzLli3Da6+9hr3vvovx8+cbQlU4iFXjxNvxoiyn/vTTTwOOK1IOBvI09CRBGS1jZhKU0GZU85dkP1WLjPvSXNdu3EK0bNyN3LkiDlasQ/HSBGN/xs8akZ9aJbEMK5D83SqU2AuQICKtSeqXShthkDQ8tIGzNgmQAAmQAAmQwIglQFeJETv1HDgJkAAJkEBfCLR8/DEmXZ7Yl1NHxDnqZRgjAtwnf/sbpog3YZwIiONl22Gz4cEHH8Rtt92GRYsWCYu30X7wYNh4uFnGmvHRRx8ZSUEifaICioZMghL69MakYHv7dtd5ZitK5BovcjhE/LN0CIApq0vQfluReBSaYYkXebGtBE/rGXKnvc7WjrVSH/FSn3feofPnGSRAAiRAAiRAAsNGgLcuw4aeHZMACZAACUQiAZMYPWaU/mTxRcBY9iqemJrYRCl5lh5/KKLhF//5/8EN06ejseI5jLbbcZksix3OBCje9k+QpCxnzpzBdLEvkguToAzN7FksmtikWxFRsGNvtztss6/63U7nJgmQAAmQAAmQAAmEG4FutzThZh7tIQESIAESIIHwIhAv3nMjobRduIAL8jKb42AKUSTVxCbeyU1UOJRQcKh7/N/x2SfnMEnaHC8cPYJiOPAcJxLnuXPnwsGUftkQyMvQkwQllklQ+sV4sE6+/sXfDVbTIbV7fUi1WZkESIAESIAESCCaCVA0jObZ5dhIgARIgAQGnIBZPOiiusjSy0MH9+Hlv72KtkuuLNErb/s6ZiRd3udhq4CoIuGYixfRPsmCMcIwRoSrcIhn6BmUGe1REdOQSVA8M8p3EiABEiABEiABEiCB/hJgIpT+EuT5JEACJEACI4rA2GHO9DvYsB2Ok9j11z1oGzMO8+fNMbrbse33OO909qtrXYZsxDcU8dBYuixCYjiVMSKQOvs5xnAYTyBPQyZBCYcZHuLu3gAAQABJREFUog0kQAIkQAIkQAIkEDkE6GkYOXNFS0mABEiABMKAQEyYiV0DjeRjxwmjyS/dsgLzkxIxJX4XdtsOofWzzzC2n2lfw8mzsDu3GPE01OXYkV4CioZMghLW0/vG7d8IC/vqizTH88AXS1wsbls8beAbZoskQAIkQAIkQAKDRoCi4aChZcMkQAIkQALRSCDaXfQTp81D7t/PQv3+Wjy17cWOKZwUr1EJo7fIYmlcamuL6AEyCUpETx+NJwESIAESIAESIIGwIxDt333CDjgNIgESIAESIIFwJjBGMhrHT5yAcePGdTHz5MeRnySky4B8bUS4F2kgL0NPEpRRTILia+a5jwRIgARIgARIgARIwAcBehr6gMJdJEACJEACJOCPwCV/B6Jk/5EDdajdfxSZK2/BwsVpONpYj5era/Du8dO43DIxSkbZcxiSogWjYyL7tohJUHrOK/eQAAmQAAmQAAmQAAn0nQA9DfvOjmeSAAmQAAmMQAIX3BmFo3XozvOf4qOPTqDu3Q+MbMKOkydxHrGwTBgTrUM2xnVRvAzHSJKWSC6BPA2ZBCW4mW3YkoW0LQ3BVZZazv2bJQv4ZvQvTVDQ3bEiCZAACZAACZAACQwpgch+pD6kqNgZCZAACZAACQDn26Pb13D23Otw6GAj9u/ZJS/XjFumJGFu4tSonv7zIhqOlaXZkVyCEQ1VGNWl5/qKjY0VwSu8slhHGn/z7BzU7gPMkWY47SUBEiABEiABEiCBIAjQ0zAISKxCAiRAAiRAAh4CrRcvej5G5fu48ePxlduy8eUv3YybbvwcvvrVlfj6330FsRHuhdfbZDklEcp4GXukll6ToHhlTtZxmiUTtsY3HMmleW8FskQ0VeE060cVaNY8OMLFtqYIBZmu/YXP2lyI2hyo+FGWUddkSkPZrmbXfkctyl+od30+ZUOR1XWeKbMINneVxl2bkebup3BLDb0SXbT4kwRIgARIgARIIAIIjOy7xQiYIJpIAiRAAiQQXgTOnT8fXgYNgjXmuDjMmX81rk29DjNnzoj4ZbvBIPpEPEgnTJgQTNWwrBPIy5BJUHxM2alqJC3JQ2aNHe1n62F9NA9rt7lVPpH1cje2oGVfOUrvTkON5ACqXp+AvFN5sLe2o8VWiIKMJFQ2yfJkhx2l6xvljGYUTU2D7Tu70XqhBdtTi5H2nUo46zZjTkY1Nh9rRXtLPcxr0nFvRz8+7OIuEiABEiABEiABEggjAhQNw2gyhtsU54EK4wl6zhb3U3W3QY69Zcb+gueCj/Hjbyz9if2jcYayfMQZatxbg+Y+BRNyYrM8+S+t68PJbQ3inZCFBjm14QnxKnisKzPv8TsO22Br8tGH0yZc5QuG0UZOaHaIx4Ntj83wVugPU287+ZkESCA4AjGjR6P1UnQvUQ6ORHTVOtvWhkmTJkXsoAKJhsdHuaLRqEedLsGOj4833kfy0uTGlyuA1HLk35QIxKdgQ4sdm5dZRAV0wrqxBBlzLbAsysYmuSJqDx5AxaNA+QO5SJR1yJbUXGy/ByjbIfdFnkA/h6tRjEyUfHcpzDEWZD7cgiMbM9D4epX0k4aWhmpUvd6IuFQ5b5fbMzFirzYaTgIkQAIkQAIkMFIIUDQcKTMdwjgr11TJ8/LOUltRYGy06LKdfhZX7J+cPsf+sfvQ3qqXpKP8sI8DvdpqRs6+WuQtkG8AfSzaa/Id9ai/K8VvC/YdaUh7rrHn8ZgU1NvKkeLu3hwTih12pC1NQ4PMSX+Z9jSMe0iABAIRmCzC0hkRmFiii0CLiEWTJ0+O2EEFypzMJCg+ptXZAiR5xSKUZcm+/g4niMgHnIFdfiaKpugpToecnpjg2XS/e/8dNyPB4t6WfvQpn1M8Fq3rt2L7quRu53GTBEiABEiABEiABMKTAEXD8JyXYbQqU56TF6H6gFuEczZg8+NdzWneVdYRAyhtVSlscuOMtkYUrypA8SM5MFnLDA8423NFhoeiaVURNj9SiM0a/6cj9o8TVT8qQMEjRe62JD7QHjkuxdlUjUJ3LCGTtQCV+7UD36Va+lNJs3BxkSGgOeo64xOlrSlzeyBKX48Uo2yLLBUyYgrldLRZ/8JW1J5yjdX2rNteqVPkiWHk3W2zDYVGrKI0FD5ahiq39OmwVYn3gNjY1oyy+z3xjrJQUedA80vFWHifNPLAQlQI08Ztxci5X17Sx+a3j6LqN1WwGzGUElD1TJGxXz0/il9weXU2vlCEohfcgqPBWMbpFNa3LzQsS/tehSyN8hNPyVqIasPD0T9r7+HxMwmQQHAEpkydio8uUjQMjlZk1PpY4lTGiQdeJCdCCeRp6BENmQSl83pMXpID7NjquoeBA6VxCcj3xCnsrIZW/Tz2auSlAqUvuFcVSOzCsueBTGtiZ83ZVrl/qsRu9z1LzeNxSLi7CgmSRAh2C9Jvy0T2HRlw7shBmY/niJ0N8RMJkAAJkAAJkAAJhA8BiobhMxfDb0mb3BrfmY11T2Uj73nXjbGjphyVd5ag5E5jxY4IYw3IzChAXoPE5mlvxYbphch/XgUuJ2qfL0PRsUzUb8uBc1cR0nIbsNveAvuPRBBcX4qqwy1esX9EP6wrk/0JKGlpRX1FGgqWlsttuxPlM1ag8a56ab8dRx62IOeurYYI6QtQxg/ENjnw0ItrkeKoRoI1D3mvS3wiiSckEYeQdHelcZqjRoKav5SIqgvtqK9MRs7ifBHfRMRbX4zGU2KL2nu32tuK1kPbUSwxjCqavHoUQbAwKQ2N39uNlrNVyEC1cVB9CFqay1F41I6G5/JR0JSHVrHbXpOBPKtYtnwddj5sBR7cjmzxaFSBr/LxImRW1yPv6naUPy5jNkTDFlSJOFsk/bc0bEVR9kKU7XfCeaoKxU0e0dSBrc9XCYtkmaOdkFax/YFsMb4znlKxxFNqvr9W4im1ovYBYMWMe9Eo7ftm7TU+fiQBEgiaQNL06Th1gaJh0MAioOKpCxdwhYjBkVp6S4LSJGto9YGUioZMguKe5bnZ2LkRSEvQxCUJKLxzEzbf5hIBk9wOglozTl7ig4jcHTslHmGa62Go/K1N+k0tsqe720qVWrJ6oKx6EwqsCUaddPn7vPOZbCTeUYLy5fciQfibTHHIcTyNzXfS09BNjm8kQAIkQAIkQAJhTsATiSXMzaR5Q0JAr4ZDcUjbuFbW3IiX3o+XYvdjxdjww3okP1foMkFuiqsP1aK2sRoVLzdgqwhdSU+5DjnlGXvtz/ORIu1UijdddsURLNW1PInZKHlQvAG1mvcVJ2t9Nu0TsU+X79yxVkSwfDQ61yH/5BEs3NeIymd3o3ZbqXRQ7urA18/4JCTJ039zchIaXy4GVpYj9wbXTX+uLAHKm1Em4mAmWqWv8ufzkSj9J95RJEJjguFNaZZz1abqJ4thfape7NVvCploOXYEmOLV4al6lCIb9d9eCovUz/zBZmD9BkPMNMv6Jqt8oUiang48n4d7H2lF7spM2M+mGP21JMpxZ7LLL1GESuvGeuQvl+XMIsCK9a5OHE6se/FeWLV/4bVTee1qQLrZ1barkvbkqm+WNpPEzuTZUv+w206Jp1QkNh5ZLdaIjdbVIujmJsk4SxDnh7VVh8tCAiQQEoFpIhruHfV6SOewcngTONF2AVfOnBneRgawLpCXoSZBcY4ehVjJlKwZkzXZCzMnK0wzMr6/Fe33yAM6eQZgjnf9QUy8Zzu2d7AWsdDW7t7KwFZ58OhwyIM8s8Q7jHftNi/IR7vbATFx+Vp5aJmvYRE72pMIiMj9WTuy18tjUQlDYnH309EFP5AACZAACZAACZBAGBOgp2EYT86wmFYnt7eJ6SKqlaF8W4UE+ZblNMvkiXiT25pm8eabl4bNexphWZyBnB/IqhtvQw3nG7kBPwQkT9Hn866SkCR+cXIT7V2MJT+eHXIjbQhi4tFXPHUO0p+sgTNxIbJWr5MOutT0nNHx7jnqPCWWLHAJhq6D2mEKEkRAUyEw0euQHlFhzVV0S7RJLwHNHJ/QReB0nlJvymSRGt1F7JURdSmW5Q+hRQTVzEQHNt+zEEkTCowl010q+d2Q8c+wdBxVcslTOrc7DnT7oF90PMXpVBIpiPOMSz1HpWhMJQ8jY4eHtbHBHyRAAqESmC6iYfOFz0I9jfXDmMCHMGHG7NlhbGFg0wKJhkyCEpidKKheAl8vdeXvq0X+NnsEQ5+15W+sR4D0Pm626HleNxreB/mZBEiABEiABEiABMKUgEdeCFPzaNaQEjAEKJWXzOIlmI85t+cBP5An7nIDrA/RVRx0iWcbUPbjtbCIwLf5YRHbxGmuaxFB7XuZyHtcPN+W58IiQmP+fbYOj8SudbtttdmxVXbtfOohZIhmVvPEBtnq0UG3k3TptCzaXSZLdddshm19Bqxyru0F8VC8Z63h7ReXVIXCX9pQ+30rHPurDI+8elkuvNtoyYwUiTVU9ZwNDkloYjlVg7ip6dh6TDwDpru6Ms9NF9nxXmyvK0L+DRY07CgXJrpgqbPYHpFYiLPrJaPiOmSvTodpwlqX94JWUbeDQMXiROG3y5BvE64OG0oeFZmzQbwKX7LD1qjkU9C8q1LiKMJYju1qSvZ7iYbmBWpjgdgoHoapFlmSXCXS7zpsELG002sikBE8RgIkEAyBK6+8Emc++8zIoBwn3lsskU/gAxGBs2bNitiBMAlKxE5dF8Ovf/F3XbaHa+P64eqY/ZIACZAACZAACYQdAX7bCbspGUaDVEJOdTkEJt+Sa3jSleTKklstsgwnWRQy89wMkaGKXLF5YjPRmJqPqjWS5OPgeaOaR0RLuacc5QtkEXCsxPCZUWosqk3xZBnU2D9S9KenvrFDRThzCop+ILH4jBhDJpQ0psBaJzEUn20wqnh7A3rOSVouS3mX5KFhdr5XfCIT0u5LQu1PM13VdBnRM65YRAmL8/BQ5QZjGbXHhpTVZdgUn+calwiG2Rt3dwiGRgNmq8QqKkHBElesooXZsmxa/Q7dsrvalbJ6O+x3L4TGjTJNSIf1QelDmU1Jge0BiesoMQq1dB+Di4H8rHPHPEpIAzbuRL6ImskrN8D6+AqjzaTHG0UUTHI7bIrQKbJl2jJX0hn4iKeUsORelNuKXKKp9OvqxzDB2Oq67dnPdxIggWAIzBZvw6bzrt97wdRnnfAl8KkkQXGICDxjxozwNbIXywJ5GjIJSi/weJgESIAESIAESIAESMAvAZMkm/AEa/FbiQdIoDsBjeljjre4lviqt1s3n9XmvZJBsE3Et5vEzU1krs0mkef2tWLtouCkKqc7ZpCsGur0puvWRxebvG0454CECDSWELnqOFGWeS/SKp+GtU1jCondfsxwnpMTdWmRn+PqMWi0rXEYfZU2Oa4VpA2Ldx1v+3yd59mntkv8oy5Ln6TNrvGR3JU9Xobdubht0KVQnUuwPR3wnQR6EmhpaUFCQsfi+54VuKcHgT/+8Y9o+etf8eUJE3sc447IInCgtRX7JifgvkJ37N7IMh+aBOXsP3/Hr9XrTZNwITYWkydPxuLFi3HjjTdCl9jHyj4WEiABEiABEiABEiABEghEoLvcEKguj5FABwGLCFIdxcdVZDG3SIZiSdXxA/G221WE0tQS2MVzLtiigldH8dF+xzHPB+86ImZ2Ed2kjmNHrbFUGCp0es7x8e4rDlGXaqImemuBXY7phoqFU3z04G1fj5O8dqjtXpvGRxUx3QHXuxzy16Y/G7qczA0SIIH+EJg/fz5++5e/9KcJnhsmBBovtmHBtdeGiTWhmxHIy5BJUELnyTNIgARIgARIgARIgAQ6CfiTHTpr8BMJ9IGAeZFkE2zJgu1APVpW1WPDTSkBxbo+dBHCKWbk26v8ew+G0BKrkgAJkIASUNHwlLgAnx0fjwmjRxNKBBN498IF3JKSErEjCCQaMglKxE4rDScBEiABEiABEiCBsCBA0TAspiFKjbAkwmosTx7+8Vm8UycPvzm0gARIIAoIXLNgAQ4dO4Y0EQ5ZIpPAh5oFW0TfiI5nePRdv/A98QxHyxjj4uIwfvx4jBkzxoiT6/ckHiABEiABEiABEiABEiABNwEmQuGlQAIkQAIkQAJ9IJAqseHeYVjgPpALn1MOtjpxXZokn4rgEsjT0CMaqlA4btw446WxDDVhFwsJkAAJkAAJkAAJkAAJ9EaAomFvhHicBEiABEiABHwQSE1NxaGPP4Zm32WJTAIH2i/BesMNkWm8WK1JUNpPn/Rrf5NkKVOBUEVD9TI0S1zeUaN46+cXGA+QAAmQAAmQAAmQAAl0IcA7xy44uEECJEACJEACwRFQj63rr7sO+yX7LkvkETj+2WdoGx2DefPmRZ7xbosDeRkaSVBEIFSRUMXCCRMmUDSM2Jmm4SRAAiRAAiRAAiQwPAQoGg4Pd/ZKAiRAAiQQBQQ+94UvYP8lehpG4lTu++w8PrfsC5FoeofNgURDJkHpwMQPJEACJEACJEACJEACfSRA0bCP4HgaCZAACZAACSxatAjOUaNxTAQolsghcFFiUdbJ0t6bbropcoz2YWkg0dATz5BJUHyA4y4SIAESIAESIAESIIGgCDB7clCYWCkcCLTLlzyHw4ETJ04YsZkuShyxd955B/o+a9YsI27Thx9+aMRumj17NhISEtDW1ob4eGY2DYf5ow0kEK0EvpCxHLbqaswYMzZahxh146r95BOkSPbrKVOmRPTYLgaROZlJUCJ6imk8CZAACZAACZAACQwrAYqGw4qfnQci4HQ6ceDAAZw6dQqXXXaZIf7V1dXhM4lDpaKgBnXXOupFoYKiflZRUYtuHzx40Dj30qVLUG+gK664wtjWd4vFEqhrHiOBEUVABXaWvhNYtmwZXvz973FzXBwmSYw8lvAnUCsPlL755S+Hv6EBLGQSlABweIgESIAESIAESIAESGBACPDbzYBgZCMDQeDChQuG0NfS0mIIfFdeeaUhBKpIqJ4SGsxds5WqV6Fua9Ft72K1Wjs21SNRBceYmBhDRPzggw8MUVG9E2+88UZj/9mzZzF9+nTjc8eJ/EACJEACIRAYN24cbr75ZrxWa8MtkmyCJbwJvP3ppxg/OQEpKSnhbWgv1gVammwkQRk9CrFMgtILRR4mARIgARIgARIgARIIRICiYSA6PDboBFS0O378uOE5qJlI1WuwVTKRnj592lh2/Kl8ubv66qtx1VVXhWzL5ZdfDn1pOX/+PGw2m7FcWUVCu91uHHv//fdx5swZXCcZUD+R5WrqvchCAiRAAqESWHHLLSj685+xVATEePk9xhK+BPa0XUBWZmb4GhikZYFEQyZBCRIiq5EACZAACZAACZAACQQkQNEwIB4eHCwC6lWoIuHbb79teAGqd6HGHly8eLEh3M2cOdPoev78+YaQ2F87xo4dawS8V5FygngCaX/a/9SpU9Hc3Az1Qjx58qThiThv3jxMmzatv13yfBIggRFEQEMoLBdvw90SQuHWeHobhuvU75MHUWMmTYK3V3q42tqbXYFEQyZB6Y0ej5MACZAACZAACZAACQRDgNmTg6HEOgNGQIW53bt34/Dhw0abukx4zpw5UFFPPQr37duHI0eO4JxktdSinocDWVQw1KJC4euvv24sg14gwfBVsFRvwxkzZmCSfKHUojZqnEQWEiABEgiGwFezsvCaPJg4faEtmOqsMwwE/nbeicyvf30Yeh74LpkEZeCZskUSIAESIAESIAESIIGuBCgaduXBrUEioB5+WjRBiSZd0IyVr7zyiiEOamKStLQ0I06hev6lp6cPesZjjWWlr8mTJyMpKQkTJ040licfPXrUyMisnpCaVEVtpHA4SBcFmyWBKCOgv0ey/u7v8NfzrVE2sugYzm75O5QoMXE1MVakFyZBifQZpP0kQAIkQAIkQAIkEBkEKBpGxjxFrJUqEqpH32uvvWbEFdQYgyrWvffee0ZGZP2SraW+vh4avzAxMbEjyclgD1r70qIehRrbUOMZ3nTTTUZmZV26rMvXli5dCrPZbMRAbGxsHGyT2D4JkECEE8iUWHl2kwnvSGxWlvAhcPbiRew6dxZf+8Y3wseoflgSaGmykQRFEqBo8jD9+6Ue9vqu2ywkQAIkQAIkQAIkQAIkEAoB3kGGQot1QyJwUb6kmeTLsy73/fznP28sQfYIb5r1WJcFa1HBUL36NAPpcBRdAq0ZldUbUm1ITk42zNDEKZqBWYt+2VJh8dChQ8Y2f5AACZCAPwJ3rFqFnQxt4A/PsOzfKSLuLbfeiiuvvHJY+h/oTgOJhkyCMtC02R4JkAAJkAAJkAAJjFwCTIQycud+UEdeW1trJBrRxCaazETLnj17jPfZs2cjJqbz0uu+bVQawh8qEmpMQ0+8Q0/XuoxaRU71SNQl1PrylKamJmgWZhYSIAES6E5Awy3UvfY6dr77Lla4vam71+H20BHYL17sJ2JG47tREstQyQUSDZkEZeiuLfZEAiRAAiRAAiRAAtFOgJ6G0T7DwzC+jz76yIhd6PEk9JigIpsu/1XvQy1tbW1GQhL17hszZoyn2rC8ayxFLepN6ClXXXWVYa8u6/LEZNRjH3/8MQ4cOID9+/d7qvKdBEiABLoQuDMvF3UXPsMRehx24TLUG5+Kx/v/fvoJVn3rW0Pd9aD2xyQog4qXjZMACZAACZAACZAACbgJdLp7EQkJ9JOAJhFRb73LLrvMSDDiae7tt982liJ398yrq6vDpUuXDE8+T93hfNeYirpMWUVMTdSiJS4uzojFqJ6T06ZNw7x584ykKRrr8MyZM0YdjdvoEUKNHfxBAiQw4gno78K/F6HqDxUVWDNmLGJGuR6WjHgwQwygqvVTfOHmm41YukPc9aB1xyQog4Z22Bt+9rX3ht0GGtBJ4K4bZ3Vu8BMJkAAJkAAJjFAC9DQcoRM/0MPWxCYa70+9B73Lm2++aSQ40biB3kXrqQefLl8Ol6JioS6VVhHQu4wdO9ZYYq0elBqnUYsmTVER8bPPPjOSvGhMRhYSIAES8CZwww034Jrrr8f2T8957+bnISKg2ZLPS0zdr2dnD1GPQ9NNoKXJpzEKTiZBGZqJYC8jnoBT7v30/s/hHFko6EA/suaboyUBEiABioa8BgaEwKxZs4xMw95x/7ThOXPmYMmSJT360JiGixYtMjz5ehwcxh1z586FZ6mytxlJSUn43Oc+BxU/L1y40HFIl1VrPMSDBw922d9RgR9IgARGNIG/z8vDx+J1qAIWy9AROCzfal8WL8O7CwqGrtMh6imQaHjc5HpAp97v+sBL/z7pO73hh2hy2M3IIHCuAcVWE+Ik9rXGv06IM6HgiWoMpnboPFAGk7VM+nCiQvou29+ttzYHbHtsg2oD2ppRminjjsuCrVv3I2PiOUoSIAESGJkEKBqOzHkfsFFrhuF3Jdi/Fv1y4ikffvghPvjggx7JRTzHNSmKeumFYzl27JiR0dmXbZoA5Y033uhy6JprrjE8JmNjY8N2TF0M5gYJkMCQEviHNWvwynknDkoGX5bBJ9Ainux/EJH2H/Lzcfnllw9+h0PcQyDRkElQhngy2N3IIyDCWdGEhSiatwn1J1vRfqEd9tfLUXvfCqQ/ZhtcHnWu5vUvSU/Nzo60pWlo6LrgZ4DtaUH1Ditqz26H1TzATbM5EiABEiCBsCVA0TBspyb8DTt+/LiRIESzC3cv6nnnnTzE+7hmJNZlvsOd/MTbJu/Pumz6xIkT3rs6PmtcRrVdx+5ddGmzxjh85ZVXoMuYWUiABEjAQ0CFq3wRDreeccAepg9LPLZG+vtFCS9RKYlPbv27LKSmpkb6cHzaH4xoqH9f9e+SvvSBFj0NfaLkThIImUDzrk0oRj6OVKxFyhRRziQ6fOINuaiuKYHtgQ147ZXNyFpT0SHqOfdXdGw37tqMNPEC1n+PhVtqXHXaGlG8qgDFj+S4PAmdzSi7P8uoYzKlofSFht5t1DZuX2jUS/ueq2+ffR2uQs6qIhStMiHriQY0bitGzpoiFIjnosmUhYqXqrF5TZrRd85j1d36daJqfSGqYEPasmI0H+zalsqY1U8UuO3OQtmeZtf54gFZ4R5P1v2lKFpTgKomkTwPVyLn/qoOTlU/KkDFAZcU6tN2g1MOiqSe8jOZClHj7qJ5rzB2c836UQWaxRO00FoImycyyDmbsd3QU2ntNkZukgAJkAAJ+CJA0dAXFe4LisCVV15pLEnW+H7dy8yZM3H11Vd3321sT5482YgR6PNgGOzU5cma8MQTv7C7SbrcWsfevUyS2FkqoKo3IgsJkAAJeBNQj+Rvrl6N3507izPdYr961+Pn/hF4/pNzmJ+WhltvvbV/DYXp2UYSlFO+H2qpyU2iYOgXahUN9W+zPgQbJTEOWUiABAaGQMvRKuDhtUjulkrSckMmMlGJc7PTULUlD9VuQat6Yx7si1OAus2YkyGi3DHxTmyph3lNOu7dppWcqH2+DEXHMlG/LQeNWzJR0JSHVnkA0nqoCIXZhehV7IpJxrqndsIqrW1/QGK4+unLKQJe5fMi+N2yE2V3pcDpqEXllgbkb2tBfaUVebeugHP1VrQc24nGB1Z0iHgucmZkfG+d9GHF9ufXwtLetS3bEzlYsWMp7K3taGnIR8HSJFTK7bDt8QzknRMGZ1tRssSO4i1lsEsYcKezBZWP292T4oT90TK0iJek04/tLk6VqIrLRctZO8rvKUX6FvHsPFWNpCV5yKyxo/1sPayP5mHtS+OQglJseKnRaL9ZxNrSuhQkm93d8Y0ESIAESCAkAt3+5IV0LiuPUAKa9OTkyZO4XgL8qweDd3FKHCn9kjJbEor4KyquhXvxJQp6bNYvYx9//LHhbZiSIjeCXqX7ttchfiQBEhjhBL7whS/gk08+wW9fegnfip+AuG4JokY4nn4P/4Vz5zBJ4uiuEnE2WksgL0NPEpRYEQn177Bm8KZoGK1XAsc1fASSgNaWnt3L/a9dBLW4SUux/R6gaFsjMr/tRNEWoOSkFY0vFAGp6SKoVYu3HhAnjtBlu+rx9MokkQ0zUfvzfKTot7LvVqN2SS2qX6hAw+tbZYe5wxuvZ6ede8yJSUiSdpJnm9H4S+nBR1+b5unC5qex6Z4MaRVoEZutT5Vg6XQLcE49FTcgf3kyLEhGodinIp53cfWRJH1I/cPebYmX4TNVsGbnof4l6dss7cqJuxveQcMDNpQfykWiRDBKXF2EktxS13i6fwOV/rQ0vu7bdg+nsgczYJFzs+/bBCyuxYFFNTLWcuTfpKueErGhxY7mNrHvp+tQcKt4S7bno3p9Gdb9aYMxZqMT/iABEiABEgiJAB8/h4SLlVUUPHLkCDThia/lTvv37zeO+yN1/vx5aDzDcC92ux06Fn9l4sSJaG5uNuI2+qpz4MABvPrqq74OcR8JkMAIJvCVr3wFqcuW4b/EI6710qURTGJgh/6ieHCOmn4lvvOP/ziwDYdZa4FEQyZBCbPJojlRScAcL3LbozY4uo3OebhaF+7CIoczvrcJtjWykHdXJWwry5ExxV1Z9EZVzJyybNa6fiu2r0rubMUt0FWvT5DYhJthdyYi4/Yc1wmdtXr95PQIfYH68m7FvWTXCREBUxPdwpqx5V2ry+eOPrz3Sn+uLp2STdqCospy5Exrgcqelo6Q52YRJL2KWyhUYTTOa7e7oYCcEKOypxTxWNT67i35YIZZjiUuE+9DbEZVXRVK6jKRt0xFRRYSIAESIIG+EKBo2BdqI/gc9VrQLMIzZszoQUG979SLRjMm+ystLS0RkSxElyY7HN1vCbuOasGCBX4TvegxFUhPnz7d9SRukQAJjHgCt3/ta1iYno4KEbrOye8alv4R+IN4GLZLyIh/+v73+9dQBJwdSDRkEpQImECaGPEEku8oEjGqEBmPVIo45hqOQwTDHGshsn+zzvAWNKfm4CHci7RbxbPu4UyjUsIUUbbsFqTflonsOzLg3JGDMtfqWS8mTjQ+CjxUU4b81Rni7+fDo9Grds+PstxXRMPg+up2toqNdd32Bb0pQp0Ig3ZLCjJvy0b2LcmoEq/DxrHXGR6LRc/bjJYcdeUokE+GwNcm8Ooa4dB+m6qRJ33r/lBtn71EhNUdW2EzbtkdKI1LQP6uZmnMinUP2pBllUzPD8uy6g5V0TCFP0iABEiABEIgQNEwBFgjvap63mmSDw2s7quo993NN9/s61DHvoSEBGhsr3AvGtdw/vz5Ac1MSkoyREP1vvRVVFy97LLLfB3iPhIggRFO4Ot33IFU+X35n5Ll9/QFj2vICIfSh+E/L4JhzKyZ+Kf77uvD2ZF3SjCiIZOgRN680uIIIiBi1Hb7bmSsz0FCnCupScK8FUj5TS22SpxAV0lE3m8ktqBIh3mpFmNX4h0lKF9+LxJMek4cchxPY/OdnZ6GLk3LjPSKdShemmCs5sn4WSPyU6uQdrc7sUqqq3X1yuupgZkljp8mKSmDJVBf7jZcLYmTnqehGGnV65jvPvQsEQg9J3vVz36qFhn3uZKomOIWomXjbuTONSN7204kufcnWDd7zoR5bgY2pBYjKVZ4zChF/kpd0CwLjAPZ7t23Vk4VK+dmY+dGIC1BuSag8M5N2Hyby6sw/e5yrYXyO9ONd/4gARIgARLoGwFTu5S+ncqzRhKB999/H4cOHcIXv/jFHnEMlYN6GH744YcBvQyjkZfGd9RlyioQ+irKRZcqa/xHFhIgARLoTmDnzp34nxdfRM6EiZg1dmz3w9z2Q+CseGhWyu/XWdcuxuq77vJTK7p2axKUs//8Hb+DWm+ahAsSZ1iTjS1evBg33ngjpk+f7vNvtt9GeGBYCTz72nvD2j8770rgrhtndd3Rbct5yuGKzxdvMZYldzvsc9Mpq1icsnzWosuc/ZVzDln+7K7jeabUPQagr3O71Q2qL1/t9GOfrtIxmy26SriziF2Oc05YLEBFZhxaftqKtYtcFZyyX1cxaRZq7xKy7fIAX5dNG8vH3Q1pUpU4qwMt7Q91XRbt3RE/kwAJkAAJ9EqAnoa9ImIFJaDZkK1Wq98vH0ePHu11Oa+2oyKbzeZapqDb4VrUe/Bvf/tbr+ZptuQzZ86gzU82VM1eqccOHjzYa1usQAIkMPIIrFixAqu+9S386tRJ1IkIxtI7gfcl9MMvzzhw7fIvjRjBUKkE8jL0JEHRTMlMgtL7NcQaJDAQBMxTRCzUl7dA1kvDZlHOAgqGer6KkB5RUcW0boKa3y661Q2qL7+N9e2ARcbXRTDUZsQuixtSyw4JQ+gRN+WQIfL5GF/Itkun3oJhw3MFIhjeiw3Vkum5b0PhWSRAAiRAAm4CPn5Nkw0JdCXwwQcfYNq0aYb3QtcjnVtxcXG4/PLLO3f4+aQCmsb6C/dy4cIFv0Kgt+1jxTNo+fLliInx/0/puuuucz1F9T6Rn0mABEjATWDJkiVGKINf/uIpnJLYsF+WUA8svgm8IQlktosnyz98+9t+Pbx9nxn5ewOJhkyCEvnzyxGQQPQTMCPvmB3mxBBU1j5CSV7+EOoPlSBlLiXDPiLkaSRAAiTQQYCehh0o+MEXARUM33777V6Tl2jyE40D2FvRBCo33HBDb9WG/fiECRNw0003BWVHrCwHO3XqlN+6xrILOXr8+HG/dXiABEhgZBPQ36EP/st6fDJjOsolzuFHjHPY5YLQSCrbJXFM3ZgxePBHPxpxgqHCCCQaMglKl8uFGyRAAmFKwDJdMjT7f84+YFabE5MpGA4YTTZEAiQw0glQNBzpV0Av49cswldddRU0sLq/okuOVVwMpmg7gbzygmljKOro8mSP2Ndbf+o9qUuu1TsxUHn33Xdx7NixQFV4jARIYAQT0CRTmtBj8YoM/Mfpk7CJVx0L0Ci/j//D0QLzwoV46Cc/McJljEQuwYiGTIIyEq8MjpkESIAESIAESIAEBo/AEDzrGTzj2fLgE1DPwN6KJgIJJUvwrl27DG9D9eYL19LQ0GCIhikpKb2aqCKoZo4+K95BGoDeX0lOTg5qybO/87mfBEhgZBD4yle+gnnz5uG/n30W74p33ZfNcbAECIEQrVTUu/AlSf6x78Jn+GZuLnQZ90gtmgSl/dQJv8NvkqBhJsnKqqKhxtLVh14a35Alsgj0lngjskZDa0mABEiABEiABKKBAO8oo2EWB2kMtbW1OH36dK+tazIQTZQSbNEvM8G0G2x7g1FPsx6HImpq9uRAgqHaqAKsCocsJEACJNAbAddy5X/BHMlYv1Ey078iDyVGUtn36afY1PIRTAuuxk82bBjRgqHOeyAvQyZBGUn/MjhWEiABEiABEiABEhhaAvQ0HFreEdPbiRMnjKzAwXgQzpo1K6RxXXvttYYnREgnDXHlz3/+84bXRrDdtra24px4gvQW11HFUl3OnZaWFmzTrEcCJDCCCWRlZRm/L37//PN48uh7+KIkX7pGljFHa9HMyH8Tz8Lzklwr71t5uOaaa6J1qCGNK5BoqPEMtainoSbnio+PN951m4UESIAESIAESIAESIAE+kOAomF/6EXxuZoJWRN89FZ0abIKYaF8sdOlU1p06Vk4fqn5VDxcNLZYKEXP0SXNvYmGKsLu378fJ0+e7LVuKP2zLgmQQPQSSEpKwncl1uFbb72F7S+8gL2SYfkm+f18tQhr0VI++Owz7JHXsbYLyPza1/BF8bBk6SQQSDTUzMn6t3T06NGIk2tC/8bqMuVw/PvaOSJ+IgESIAESIAESIAESiAQCFA0jYZaG2EZN6KGCYUJCQq89f/TRR4aHXa8Vu1XYu3ev8cUmmJiB3U4d9M3XXnsNixcvDilOo8ViMUTQYIxTT8tg2AbTFuuQAAmMHAL6u0Nf+jvqT3/8I3Z/fAY3xMRicYgPOcKJmCY52SvJpJrEu/CWlSux9pZbwsm8sLElkGjoyZysf7f1gZe+9DNFw7CZPhpCAiRAAiRAAiRAAhFLgKJhxE7d4BleX18PzZoczBJa9YAJZglzd2vVI0+XQIdbUa9J9dAIdUzq4XHzzTcHNRyPYHjp0iUGqg+KGCuRAAl4E7jxxhuhL83avut//xfVEvPQKuLhdSIWTYqAhCkXLrXjzU8/wZuXLuKi/L69eeVXcd+XvuQ9RH72IhBsEhRdmswkKF7gIvBj4+rcCLS6p8nJz1X03Mk9JEACJEACJEACEUmAomFETtvgGv2ZLBHT5cnBFI8AFkxd7zoaBzHUWIje5w/WZxULb7jhhj41r0uONYuyfnHrrbzxxhvGMrKFCxf2VpXHSYAESMAnAavVCn0dPXoUr/z1r3hSPBBnydLUFNMopMgy1bFhlj33oMR+PXCxDftkefW18rvv68uXY9GiRT7Hxp2dBAJ5GXqSoMTKXGuSMU3gxczJnez4iQSigYA4ZMu/62gYCcdAAiRAAiQQiQSYPTkSZ22QbV6yZEnQgp7G8Tt+/HifLVKvxo/lC2Q4lEOHDqGlpcXwNOyLPcoi2LGouKiJU1hIgARIoL8EZs+ejby778bjGzfiCzk5aExKxL/ZP0CFZFx+9dxZnJSQE8NRzorH+puSif4FseHfPmzG3vjxuPqrX8W//fSn+Mfvf5+CYZCTEkg0ZBKUICGy2vATaGtAgcTe1GXzXV7WMogm5rs4GlFT12wcc+7fLOdt9l/Xdws99joO22Br8ttjj/qQHiusJpTt73ZOmwO2PbZ+2+Ojw85dbc0ozTTJQ+Ys2Lp131kpSj45bTK/aa5xes17wxZJBraloccgQ70eOufdz3z26GEgdvS9r057g7XDT1/9uU695yRYM1iPBEggKgnQ0zAqp7Xvg1JvuUmTJgUtnJ05cybour6sapNYVvv27YNmKx7O8qEs73v//fdxxRVX9NkMTeyi4wmmzJ0717hpDqYu65AACZBAMARGibeZZ+myeozr79a333wT/yUPNC6e+QwzxftwmvyeSoodg0SJeTeQnogXpd0TIk7aJTbhB+3AMXk/J78P58+bh8WpqciVOLEa+5UldAKBREMmQQmdJ88YPgJ26XrrviNIl18FrR4RLD4Bfp3omquQbtXEeWthnp2D2n3icddP8+070pDmrEf7D1OCbMnVo8fczpPsSFuahtoL7RIeonPvwH5qQfUOK2rPboe1vwMfWMMGvrWYFNTbypGs4zzaOe/+Ogr1euic92S0aqMxQwNU++p57fgbVef+TnuH8Tr1npNO0/iJBEhgBBKgp+EInPRAQz548CDsdr2tC67Mnz8fiYmJwVX2UUuD+l911VU+jgztLhULNQO0egD2tahoqF/agyn6lF3jRqpnY1gVhw2la+SprjULhY9VotmtgToO1KDyuUrYDjs6zW2qQukLjZ3b/EQCJBA2BDQ26/XXX4+7v/Md/Otjj2HdQw8hTbISO2U58K7YGJSe+BD/fuoknhVvxD+K1/NfJKnKG/Le0PopNDlJk4iOzfL6UMQ/fT8ur6PO89AlxjbxHnxZPMR3iAehejNukoRYGz44jm3tl3BizhzMkxiFBf/8z/iZeD7+k3gULlu2jIJhP66MQKIhk6D0AyxPHQYCmUhZlIzE6clInut+JerDBCdqthR2eCAWPWcD5B4jK+VeOXYvCp4TTzNHLcpfqAfaGlG8KgdFPyow6mf9qALVL5QizfBgzEG124vQ2VSNQvHSM7warQWo3O9A80vFWHifNPnAQlQcUCnHieonXO2YTFko29Ms+6SIh1/F/VnGuTn3F2NrXTexUm243RVeJu17FYYo1Lhrs9sGEwq31LiEIsPWAhQ/kgOTeFQe2FaMnDVFKBDPRe2v4qVqbF6T5urnsWpX3x0/nahaX4gq2JC2rBjNB6uQs6oIRatMyHpCePi13dFhe9b9pShaU4AqZXK4Ejn3V7nskrOrhJ+LAeDf9k7OJlMhatx4mvdWIMvtMar8m881oNBaCJtnAc05m7Hd4KWWOerKkHV/pat/nVtrkbu+eMityUHlu0dR9Zsq2EUw7DLvsi7bpszcc1n4rFwbWjzXg7SoYyl4pMhtU1rnPLpq9pj3uCSgYH1BR/2KvZ57Wz/Xg7sd402ujTL3tWHMYZ37XGdjx1yaMos6rkPvU31ylgq2Z4tc16kwLZLxDeZ1anuus6/CLdWu+ThchaLHyuT+330tPlIF16jsrjnR7wJe/yaMce91XwzeA+RnEiCBqCUQnMIRtcPnwLwJqIilotf06dO9dwf8PHnyZCPwesBKvRxU0VEFt8bGoRegzp8/b8QDUxP7I37q+bNliWAoouM777wDFWnDpsgNQWFCGgqn5KHsl+tgrshBUm6l3LhXIiFlLRrlpjBtXgIqm9RiJ8pu2wzrsuSwMZ+GkAAJ+CegcWqXLl2K1XfdhQf/5V/wxObN+OGPf4zbvv0PWPB3WRgvwl7LgqtxQB6g1Mgy4v+LGY0/oh1/kL8L2+T9T6NH4ZXxcXh76hScuGoOYm76HJJlqfEt38rDvQ/8EE8++ST+ZcMGfHvNGnzpS1/CzJkz/RvDI0ETYBKUoFGxYgQQMIsEVvpIKUofc72Kf1TsElcOVCJ9jQP1Z9vRfnI3qnLTUG3OxKbqDTKqh/DQHSlwOuwoXd8odx9O1D4vDzGT8uXBaz2sj+ZhxRYztspD2J0/bcSKNXLfInXKZ6xA413iUSj3l0cetiDnrq2wLF+HnQ+L6+KD25G9QMSoJ3KwYsdS2Fvb0dKQj4KlScY9TtX3kpDXlI0j0uaGZYC22KXEJGPdUzshLWH7A9lA3WbMyRAB8Fgr2sUm85p03LtNRRW1tQxFxzJRvy0H7SJ0VcpS2/xtLaivtCLv1hVwrt6KlmM70fjAig4Rz9WXGRnfWyd9WLH9+bWwtDtQ+byIh7fsRNldKX5ttz2egbxzebCfbUXJEjuKt5TBLgqQ09mCysc9TgFO2B8tQ4uIQc6AtleiKi4XLWftKL+nFOlbRLA7VY2kJXnIrLGj/ayL/9qXxiEFpdjwkus+vlkE1NK6FJfXoBucRYTiqsfL0Ch9Nr8u7dbJ3KtwKwJj3hYgZVY7yh8vhyOx67y7Tncid2MLWvaVo/TuNNSIONl5PYh+KIJk2foElLS0or4iTeZR2nH3q2+J3eYd8bLznBWbhJHWz1tSZtT3dz14NYWG5+Q6acpDq1xX9hphbS1Bs5xdtnQOqhZvRqt4ntZ/F1gxo6jjwbue74+zY1cR0u5uwG57K1oPbUexjK963uBcp07tK7cZtdJX+8laYM0K3CsP/52yhLn4gQJY1lQZ12/y+izkPesSpo05kTmrXi//Jg5kG/9Wjrwo1+4S+V4g+1lIgARGBoFBc6gfGfiia5SaATg9PT2kQanQ5xSvlJSUYN3nfTf/6aefGsuDW8WLZaiSg+jyvVdffdUIHK+CX39LqG1o0pVPxGMnXIrz8Ha55VsH+7/mIlGMsm4rR/GMcrx8u3zeWI5196Qg0yk383rz2bwZld/ZgO1TwsV62kECJBAqgSlTpkBfLOFLIJCXIZOghO+80TL/BFLmpiBFRRspznNOJGmGD7PedZQh7/5kFK3OxFYRNZL1V5PEZ0WqvEkVeH1jcSITJd9dCovsW7hSZMUf5iFZwh8k37ZWvAhbRaozI//kESzc14jKZ3ejdlupNFJuLElNSkyC1ZksNZxoeKYK1uw81L9UJTY4DRFwd8NbMIuIVX4oX9qUfu9YixIUSe2uxSztJIkdybPNaPylnJ+aLsJjtciiQJzYXLarHk+vTJLzMlH783ykiK0Ncr9sfaoES6dLw+fUU3ED8pcnQyxHoZyjIp53cfWRJH1I/cO60PVpbLonw7C92qft76DhAZvYLvdxwjhxdRFKcktdtnvxM/qQ/rQ0vh7Y9rIHMwzO2fdtAhbX4sCiGhlrOfJv0jlLxIYWu4hjYt9P16HgVvGWbM8XgakM6/60Qez0KlPSsEn9Jg83w/JyLTLvtKK6pgF5bXLOPS4+SlRLste8q+e7dWMJMuZKH8iWNoDaw7LPu3HRQjftW4sUi+yU+bIiXzzmRXD11JGlyJ3zLkvjD0n9Z2V+473rr/VzPTQje7qO1VWSpsv3pOflYdkjrchdmSnibAoSnQ2orJN7ZYsuJxee57RuKWpPbXCf5Z9zZlOxXBP1WJqoxmaKgHwEmGKGfRCu02oR6bMrjsBq9GVFYWU+kh6uQcmzcm2tlDm9wTWnRTUbkLB0twja6TIjMifiMVvxqFx9DXkwTr1tA+yHZB47RscPJEAC0U6g+5+QaB8vxxeAgMb1i5OYV6F4y6nwdlaWp/W3jJeMn5qAZSiTg+jyvf4ur/aM+4LE8nrrrbeM5YCefb29q+dPsFmqe2trII6b5+ah5STcNwGyROO5Eml2LZZ8OUme6C9EQWM+yh4HdtobULrSjk02fcbOQgIkQAIkMFgEAomGTIIyWNTZ7mARUAEt805Zotzj20cGWkXk2/2yiG5P5iPneRW+WkUikiJijK/iVIEtxolWEYySprrUoQ5hT1ZOFE+dg6I7N4iHXAayVq9D8cMqunUrooeoTKXei06nBUWV5Uia1ip3PkCaW9jUhckqjnS03a0JtcPo3dWQeG2JeLR+K7Yn6UoM91mGre4T3bvEchHfEt3CmrHVreXOTWOsnZuuTz5tbzFs3+DP9lRPI2bEyceOMQVjuycGoHgsKjQXcWlERF+zUxgtE+9DEeuq6pJQUpeJsmWJns7c7xZkPJWNvKfKkLxLRN9tGSicsRlld5Zhw3elTchEuothl595T5AxtHS7frrMrAqExqx6Wuvl3bu+L6aGctzZhmX5Q2g5lInqXeJZes9CEQvzUd+6zqgQp3a1ifXx6dhasd0QxztHJcd6cJ4G589kdwdMwSkxPp3dxqfnuU7tz3XqFLtFkJ2iM+8pwn2JReayBdZU13J744g4cCDVu57rSvHeYxbB1dzdTk+zfCcBEog6AlyeHHVT2vcBvfvuu/hIYlOFUpKSkqBJPQaijBs3zhDRVDh8+eWXDc/DgWi3extvvPGGIfDp/v4uSfa0ferUqaAzJ3vO0XcVaoPNuOx93qB8lhsnizzddOyvkgyHcVjxQIYsl8gXB4BMWcZwBPmr8mVZwnYsrClF608LEeeO35O2qhQNxlPVQbGKjZIACZDAiCUQSDRkEpQRe1lE8MDtsB91wHHK6+VwwrGnGHF31yD9jnyU/LZa/O9EQtL7ChXbVNDTt1BKmx1bpf7Opx5C7i1LJcxKQ9ezxXtNZS+ziGt2i6yiuC0b2bfI8lnxOmwcex3WijBVts1mnOM8IPdERu2uTbi2RBISGxOmiKRjtyD9tkxk35EB544clPUWcUfH5kcY89VT133+bVePxSIRXbU46so7bVcxq64RDu1X4j3mSd+qVYVq++wlOcCOrbA5jB5QGpeA/F3N0pgV6x60SaxCyfT8sJeXn1Zzl5SVebA9XoTKJRlIEY+9DPEuLXpehGQRrrqUAPPeRSDsclIQG8a8+6vnh2mnPGqcaHvEhLwaM7LvWYetL++WfbUiFKtQKQ/d56Uj845sZMxzIEfC+4iW2lF8cx6LFLlmqiSGp4HzVA3iEhJQLTiNMqDXqRnp38tE6ePVrr5kSfL2hyuRvzJNxPcE2B7d0DGnVU8WI/N+a+fIJSFKxkrxvn3Z9e/IsacUCUmFXZZfdwyUH0iABKKSAJ8RROW09m1Q8fHxRubkUM4OxSsx2HbVjhkzZuDEiRNGXCz1ZlSvwIEo2qbGblywYMFANNfRhtqcnKxPlUMrR48eNWJCLpLkBOFQap7IQvp9VXi6WpbVLE/pNGlKMpbKC21yQyjxgMpftiNjgg1lEj/GvONeLHzchvYf0/OwExg/kQAJkED/CQQSDZkEpf982cLQEpB1C1ghsZG7lNSn0VqTjYd2LEScKc91KHUD6iXmoPmU1s2RmHcZ2CqxBTu9n+SYuxFNatFFVEyVA+YUFP1A4solmIxa2T8QEauuQOK0paNkisQDlIQPZStbkf9ULXZLLGfTfa7GsjfuRu5caXnbTlTOkP1r3J3Im+FF1rkpn8wSx0+TlJSh1VYi90UJSDDd66px59Ow36n3hC6RxWOrHuzwKosRv63UTgnM24vL1YjnZ+dYdam2p2T7sd0ptper7caYOu/LzHMzsEG8yZJii6UJ8Qlc6TqWeEcg27361o7V+2xuNnZu3Io0N1vcuQn22xINs9LvliXgEmOy/E4/oY4S0w1BuPVO9WqTmI0bM4GX81zL1Q2hUPfKy9I57yWy3cFMPnfh5PaG67JP6mgr3syNPR3z3tK1Da/6vpkaFTp+pKzeDvu8hTDd7dpllfiYKfHJKJHMzwnWBEnb4yqbJOajetS65FtxUvDDOVGE003bkuTacV37eg1mT5flzB32DuB1+rr09UJnX7inHC13yNwdUJslG7hnTlMfQv2dKbKv8/rNlhieW73+Tej4EqkiuCabP0lgBBAwSYDg9hEwTg5xEAns2bMHKnqpcDYY5e2338aZM2egMQOnTZsWUhe6bLi+vh6nT582lj9PmDAhpPMHu7ImQlEbw0I0PFwB07w8bG1oQfZs8Th0P+G0aIwYd6l5JAu1d2zH2rk1MMVtx5ELGxC3oxBJNRLg+1/laT4LCZAACZDAgBDQJChn//k7fttab5qEC7Gx0IRkixcvxo033mgkMouVfSyRSaBxdW5kGt7N6uTnKrrtCW7T6XAYXlu66qGjuMUk75iGHcd6+aDtiQKlK2jdXovyrkKHtukleDikntlTTw4ZRTzzHOIFaZli8ezp+d7NNsN+XbWhsfKGqPi2XbwMJV6khHlERWYcWn4qS64XuWzSOJJmBeI1fjU1ZNvlHtFYmu01Vk32EWd1oKX9of7Hu+vGdkBwdpt3f236ZOpd2X1tQOfa6x5ZlzopYrYAAEAASURBVCYrd3O8XHPd+HpO98dZ50XbM65VT+Vu9vq0q6/XqciqHtud+zcjb5cI899PlmtePCa9x+Sxxf3ulH8T4NLkblS4SQLRT8DPr7ToHzhH2JWAJiD54IMPcNVVV3U9EOSWLrMdLNHwmmuuMTIre74IqdCmiVPUG1GD+OvyXk3GYpG7I/VIPHDggGTUazG+RKlNuuxZlyEPpmD42muvGclgQu3j6quvDpLw4FdzHJNlNlJyUvQJr6dko/7CVlf8IcminF6TJx6FemwpaiVey5xYfYq/DrUnKRh6iPGdBEiABAaCQCAvQyZBGQjCbCPcCJjlPq6H3NaPbyraXkfxbsf7s1TQ+8ceRQUhb/GyRwXZ0a0dn/b7Om8A9/m23SP8SBy7HSII/mtnhxqLzlcJ2XZRt7xbaniuAAtzJT5hdUv/BUM1sBtbXzaHvC/INn0y9e7M37XRXUT0Psf92R9nn/PSzV6fdvmzxbvvbu30sEGEx0oVAw0h0fvEnp/NAQTFnrW5hwRIIFoI0NMwWmayn+Ow2+04dOgQvvjFL4bckiZC0QQqMTHd/iqF3FJwJ2j8QPUcVO+KqVOnYv/+/Th+/DiuvPJKI4lLU1MTRo0aZQiKA7WsOZBlunxavRlTU1MDVfN5rK2tzUgkkyAxTAarXHHFFRg7dmz/m5ebCs1I6O/paf87YAskQAIkQAIeAs6q3+N8pW+PrTcRi/LR8caDspkzZ+Jzn/uc4bGuXyr17x9LZBIY6Z6GkTlr4W21o6lZYlNLwpVBvkV3Njei8VwCUowsx+HNhNZ1I+B0oPmcGYm9ieTdTuMmCZDAyCEwyH9CRg7ISB+pfsm47LLL+jSMUL3r+tSJ10nqXagvT9Glvd7Le/UL1FAWjZGoSz2mT58ecrcquDY2NuK6664L+dwhP0GeZno/VR7y/tkhCZAACYwgAoE8DY+bYmAymTB69Gjjod348eMNAVH3sZAACZCAh4BleqLn46C+mxOTJcYjS0QSkKX5ibzBj8ipo9EkMFQE+Dh6qEiHeT/qjabLgPtaXn31VaiH30gs+qWtL4KhstIvep5l1yORHcdMAiRAAiTgm0Ag0VD86Q3RUP9+aAgOfelnioa+WXIvCZAACZAACZAACZBA3wjQ07Bv3KLurJMnT0Jz4lx++eV9GpvGDtQ2+iqe9anTMDjpnASq37t3r7Gsuy9LwvScviwJD4Oh0wQSIAESIIFBIqBJUNpPnfDbepME/FKBUENP6MMn9Xbvy98gvx3wwLAQ6GsCkWExlp2SAAmQAAmQAAmMCAIUDUfENPc+SE2C0h/RcMGCBcYyqd57iq4a6l3Z3xhSGo8xKSmJX/ii69LgaEiABEigzwQuvX/E77n+kqDQy9AvMh4gARIgARIgARIgARLoIwEuT+4juGg7beLEiZg0aVKfh6VLdLVoFuWRVFQsnT9/fr+G3NDQgAsXLvSrDZ5MAiRAAiQQPQTajvoXDZvg+nvr8TRUT3/1OKSnYfTMP0dCAiRAAiRAAiRAAuFCgKJhuMzEMNuRnJwMffWnnDlzBvv27RsxApgux9aisaT6Uy5dusQ4VP0ByHNJgARIIMoItL1V63dETILiFw0PkAAJkAAJkAAJkAAJDDABioYDDDRSmzt16hSOHTvWL/PVUzExMREfffRRv9qJhJPVM/Ctt96CcutvSU1NNbJe9rcdnk8CJEACJBAdBC4dO+p3IEyC4hcND5AACZAACZAACZAACQwwAYqGAww0UptTL8Hm5uZ+m79o0SJoJuaLFy/2u61wbsDhcBgC6ZQpU/ptZl+Tz/S7YzZAAiRAAiQQlgTaA1jFJCgB4PAQCZAACZAACZAACZDAgBKgaDigOCO3MfUSHAgBTAmooKYZhaO1tLW1YerUqbjmmmv6PUTNvvy3v/2t3+2wARIgARIggeghMDpxms/BfNA+Cs5Ro4z4hZoxecKECUbmZCZB8YmLO0mABEiABEiABEiABPpJgKJhPwFGy+kqGPY3pqGHhWYT/uyzz/Dee+95dkXV+6uvvoqzZ88OyJhUNNSYhiwkQAIkQAIk4CEw9murPB+7vO8YFWdsa9ITTX7CJChd8HCDBEiABEiABEiABEhggAlQNBxgoJHanMboe/PNNwfMfKvVilmzZg1Ye+HS0DvvvIOYmBjDu2MgbJo8eTIWL148EE2xDRIgARIggSghEHttGmK/uw4XrpiGC6NGwz56DJ4ZFY+Do8YYibP079D48eONv0Vjxrj2RcnQOQwSIAESIAESIAESIIEwIhATRrbQlGEkEBsba8Q0nD9/PuLiXJ4M/TFHvR+0NDQ0YObMmcaXm/60Fy7nKp+BLPplT18sJEACJEACJOBNQIXDs5MvN8J97N+/30gyNkrCY4wePdrwMNSHTro8maKhNzV+DksCbU44YYY5HL51tAmh/tohbTilmbAYTz8m3CmDkCgHgctA8ArcQ3gc7e0aVQ5aQr12hpFfUPMrQ+q1Xl/G0JdzDMBqkLy8r8vubXXf9pzn613qRsO/VV9DG/R9cmE4zrl+SVjivSdk0HsOzw56+x0xUFaHcn0PVJ9BtENPwyAgjZQq06dPR3t7oPDroZPQpbc2my30E8PsjCNHjhgC6ECbVVdXB7vdPtDNsj0SIAESIIEIJ6BLkCdOnIgrr7zSeKlIqNuXXXYZ9O/1jBkzoOFAVERkiTICbY0ovX8zmvXLwwCWhi1ZyNrSIN+ibeKxmgabfpse9OJAaWwcqk5JR45G1NT1P+le3012omKJCRVNfW8BzdXIijUhbkmZIUb0o6VhPbXmERPufam3ueiFV5sDZasKYHPIULpdqw3P5hhe0cb1NpQj7dM11vs12vBkGkxPhvh9pq1BrpUCNHZjY+DQfedsKFhVBoeP4x3/VvvILrj5BTrq+eHm3L8ZptjNIV7rfq6b5kqYrIH/3Tj2FMN0X5Ux6sa9NWiW31HOw2UwrarsINHwyyzkPNfo2nY2IMdkkmstp+fvs/7+W/XDpMOQAB8MbqZQuXVt0HHYBlvTkPyS7tqxbNmeK4JJnIgSpiYgYUKc8N+MRjVFr2lTFhqGx6wedvbYIb+TbHtsIV6vnlbkurWaULbf1+C8fkdIH5WPFSDNmoac+0th04vUXRpeKkPhmhzkrClFg/5e9C5NVSh8rNp7Dxz7K1GQmYa0zByUvuCyu8v13aX2MG+ISMRCAoNK4MMPPxzU9ge78dOnT7f/6U9/aj9+/PiAd6Xtimg44O2yQRIgARIggcgmIA/d2p1OZ3tTU1P7K6+80v7b3/62/Ve/+pXxrtu6X49rPZboIWBvqG0vfzhTnuBmtte2Duy46p/KbLdurG9vv/D/t3c+wHFV973/GRuzAkMkMCARJ1hgT5ADQWtwipXyZlAH+rSO/cqq5hVrQpqszQzYzYyRmldXitso60DdNek4cpgaKZnnzoppGYk+E8mJXa3bECQ6JrtKTHed2JVcTLIKNqyolewi27nv+zv33t27u/fqn/Vvze+AvPfP+fM7n/M75+757bm/k9Sikag2zdnbCps4XK/Rli79XqwF9WqxjTdbF5PHWYbWqdc91qrqkJgtgWeinLM9qEO9NpFvn468LkS1eiLko/8FY9naFN3r1QJ9c0BpCjo2ER1N951Jtkd0rxt9Lpyf6mRHmh23RfRCdpSplqdymWj7WuM5cEsqfZ98f7HTG66T5wDGH8cQ1xqhTx2GYrbiOHCc9SqptVaS1hIxdCwZ1tzW8fFCQmup8eaPl5fbVx2YOIpvvXE+roWPT6SHWRNlH0f3om/tHotXdvzpOosfxJgN9sFjhvyJqBYAfzWOo997wD5XX6er7MvOB/Kx7OGc/jSxfA09UzqXncI6RnRt5zGvUes9jmf1DjeOfdoAykv0+VXZraGw1tXM1+vVdQ36GY30aP4apKu09KV4l4rf2N6rhUNB6DRpvs4BqHuOfmeLMmdnvLJMghBQBN5//30tGp2ZwQkbo2hYVafBd2JB0Wa5OWBH6BmR++zZszOSr2QqBISAEBAChU/ANByeO3dOw4p37ec//7n65HMxGBZ+++bV4MKA5t+IiTVP0MirRbPtMHnReTLdu1+f4PFEqbHdME4k41rrdjY8cj5uLdCpf7dLGyJQTmB7QJ/QII+evT4jrkdr7dMnigMH/Zp3e6NWzxMd5FO/P2P4CB9oNOKjzANhLRkLap4tQc00ESWP6+fJC3FlWAqehOhnujDZ1PPytbM8Y5WLshG35XgCky+f5tvRqKetadS6Qh2az8gncDhnUn4+rPkQR01omWWNRwsaE8DogXqtkSdkkNKP9EomG6JjXsKEtFG1DWme5h5NO9mleTc2ao0bcc7G2OSA1rKFJ4uoJ+ToOWM0ICaNQaM9PODeuMWndeHeQCfSKplQqmp7Q3acDoRa1CRSZ98LWgiqPNTDyMsN5nHja3X8GJgbXDw7cP08jHqV9Vr4PCdEABs+Z53q2kKatx0sLpPXQLuhN9sNo7BekvpXGQ1NI0+8F2XrbU81fi3MX32ZJY55ss0hDn2rN/RiUm2uJ9f/zdOxzM2BzoDm39+a1h3/QWO+M6aOZtKn+07m0sT4JdhA603XM5M8qXWgHVT7HszRY0Sylhduz/S3+v09ui4gTiLd5jDQ7vVrjXuhkwjp9uUT6Ezj7lYtYOilt7kr3U/T8cbgZms0nJLeJLQA9LMrnkSf9mut+/2Gfnu1DvRzDspYtbFDHfc0e40xRjeoKoNMTVDd4396d6DPsQ6rAGNPrtEwt69yH9yRGRNbQwbz3D5s5Jg3Xjmkd9QrMK3nMYLD2XB63OBxIcxFQ+8yYzTGqYg5eqoUWvywboBi/VAGecjp29GVbns9Fpj1tabHCc+ODi1h9Cfb8QOJkid7NJ85hm3PjB9mfiwXG259nTk6eaZHa2zm/KNqbPZuMdqHxxg1lYU+b/dpHSeNMQ/1927vUPImkdZ8jlAl4hjt7fiMgQxmW3l3oN/iOdSTIw7Lm1dHNeYb4wzGRkOSdNWsB/FQa3q8dG8MaGGF38FoaB0jUH827nWlp+8DikfwJPQLXOvTzyRd31v4+cM6hmcRpyPosClXdD+eFVsMHYFw8XYwNe5n67dV8rk7FqPh3LGfdyXzJKSnJ6O80y3gT37yE+3YsWPaxYsXpzvrGckP/hi1N954Y0by5kxNg+SMFSAZCwEhIASEQMETYMMhPzf5mfHhhx+qTz6XFYYF37TOFTgZxIQZqznM2YVTTBjreJVDlA1DZ3vVpKQHkxle3UQb9clJUq1o0vNKGyLUxMetVuaE92IiXdOqYS6vJWL66qeOM8jjAE8K3VoXJkMJGAF58tqLiVUixAYMr9aLBElMhtSk9hSvjMAKIaTjwMYItboKxgVeEWSuShkI8US4URtAWWOXS1prKIoJalILstGS5TsPAyIMBcylBzINhAJKDjNvvWR9wtsSw9kZYyVXMxs7TUOhDjSKOnv2G0YjPaGa2AcPBLVgu+UP5/qE2IyEiZ2qg18xZ2Mp198HQ048kVCroTx7YeDDxD16kDlhNR+Ow7t5csiGPKzwbNeNvK2YTKpJo7kK7QKz0tskGeHVkGDMRkes8lGTeBiWzPL8h7FKFIYINp76j6FR1IoxGFnZ4AtjIcf3dp5W8ngNo2T8IBv4eJWLZTKLtYYcd0q8mOpJvY3isfwZfcZoiDbEZNqrDIIw9jCL7ZhrWHSQ6TILfUXeZNs80zZ8ZNUx653oATYYYTXaWRAw9FkZY8bQ0az05ipd68UJ8dMNEa05KzE5mwGsREvCGBU1jcuWvM2+qvc3HwxN0AW0Oa/uVKuRLG3OusDtqK9isrYvjESGjrbyqjHoEqfXV/tlx3PiZms0nFC9eRyy9DO1qioA7TPadyP6NPeTTu4P+g8k3E/cZr88jx82IGvjQcMwiNVXHo5nGMXUSsZK0wBjYzQES2tf7eGxg/sgd6mI3m95vDL56H3Y0gDcPpbxyim9k14lj/OKZO5veh/TxwVjDKvpwPgKfTTG6Hgfj2WNiGkJGPt6eLWaaSiE4c1vGIXTsdCH+IcCpccwbLXgmI1WTuMH/0jA8dU4Ab1T46m5CtzMNKnn2ZUljHkTnyiTf9Dx7O7REkkYytjwrcZYw+Bm/FCQWWmK64hv9v8BXsVorLZzesYo1mrMT2ph/LDCYyyPl9bgVEc2UCqjnmm8tCYyj9XYY3BDC/HKQV3vjDrklMXcrM+xxNmMgTeunkM8buv9KSOnPu41hjJxB/iZmtZZCIM0CfNHHbQfr+Y0VyVn67cp+Nx+TtadK9pNwpVKgP0k3XrrrYRJCV1zzTXTXs3Vq1fTb37zG+V/Casaif0zzdfAciYSCZrujU+s9cWqTuXM/s4777RentPjoTfaKfia4WMRDnDLft9Hmx4qpeETfRSKxKl8TTW5VxTrMsI3w55jFVT/aPmcyiyFCwEhIASuZAIL4K+J/RaK78IruZWz65ay8XGWHcM4W1qKgzaqe6acmh73UEc8SeVLcempEIXXhCn0SjvFjnXggkvfDMBIxh9l+I+3CIh9t5vc3jqKHoEfMVeKMOGi3tgQVeA7gHtvkDzqme8lTPwofDpF8Rd2ESZYtLaUHeN7KHFmgGhpOZVuJ2p4JUbep4j2vUgUOOum1Ol9FEGccmO2UV4GeStRNsrpG7PcKPkeqlDyJfGVpOWlOiqFI/7yCkx5d9RTNcu0HC/JUYgUq/RsppRqd7up6ViMPEt6iWoQv7OXhp5KUBPVU3y54cwfH91DOQ6nwDwxnMDGIEYcLh0Mctui1KhDudrvL4lYrdSypRroYtTZDzNrcYJCh8ByBLdoD4XPNVHkqxEKntyEOhCVPt5EgU17DJ9bZeBtlucy2oRo8BjSV1ZRIhYi9u5WBGZtR6PUslIvr/7hCpWqfq+b6voGadOZdsQPku8B1odS8ifi8IcJRrvrafMj8KEF82JoZxvVH/ZDzkEKotS2FVzuZfBC6uIV3EYId3G5TsFFpTVohk11tGukiTw1HZS8i783xtL11VOyPuosJtfm2eVmdCz7OgP3tgfIvRRlLN1E4eY68h2Bvj7U66CjOeltTyfCL0VFSDs4DAHSba1nVn63zq1imW3m6mII/Q2rQsmt+pubGjp9VNbcR1/biXbd2EFbjTZvCDXSrmeQJKt9cX4ROlMD3bifyyqlpj4/laztpdTG1RY9IHLkpqTI/Wci9UYaoDb7WezIPvLsDxC0krh9gy/7qBT9tvRR9AcqodCJYXK1R8j3PWNOsQQjFPTeVc56gbCIdWMQG3PggzPh8/646kd8xy6k+6oLPmKfRZncBzly5Sbq2lJH+w5hnHjQ0odzMkkzWTRIuxzSw7Bpr1cPG5mdCtEujFTRp9aqjZM8zQkaOE1UciZG9HIdbftGkjZhnIqfr0DrWALqV1aK8SFVrmvNsmpq/DPLfT5cVEJV+Kh7fBsld26i6pNxqlhRSrEXHcaP8kGMJx6qOxul7kNwMVuE0f5FjI/f8ai2yMrd7hlkXEshj8D2aipG+3mfBgF3mFJfM8YCcyxW7cU5ush3doBWHR+kzn/opfCre/AACOpF2T1j/vMERRRr6AePl482kB8EufdYg9MY2VrDTzY8c5Y7aQVyWVRBoZNhCg+GqP21GHV8CyLtt+aefZw6nT1GFC+FAp6L0b6nV9G2l6FXfXFyL4pDTn4iWgJUNzaUwAVWWH7a5tTCVazuxF7dR6s2bCMYtSn+FD+BESag33rE2ftXNkKZPdYFUdKnP/3pGTEYmpW/7rrrKJlMEm8A8uabb5qX583nu+++S7/61a/Ubs8PPPCAcjg/U8LhlWfl1H6m8p98vikK4UtUEA/zslIMZHCw77oeubzTSSUVW2lwJEarV5ZQ5zucc4ra1u8j94NiMJw8Z0khBISAEBACQmAaCCytpiQmZIGaUup9wUd3lBVR+yk8y3eW0Oq1+yieKqXqDbUoKGeyYi0aExuelvOEZjhVTE2dQaot1yc51mhsuKJFej5llvmYa0kJrhNVfbmVItjAIHK0k7orW6mKjZcqZCKr1P3G5QmWq2KbE1hk4C5jaZ1DRc1W6n4+SG3Y8KVjbwAGiW5qewHfV3bU5k+MrdnA8FlbU0vrarBZjPHH5xU5KLLqYE1vTJaL+BO7bNKSKupo76IKGBzYbFuMCbAeXMYU0jx3+NQbhVIwkrh3dlDXYzbft1wcCXxTmJjiME0ahk8XJp2lD9ZhEruPuvu7KdAPY8GDpUZhGYZT5uUgtt3l6uYkDRwPUOlwL/nuuYOKNmU2tUjvQJ0W3shhEm1uLdOxfVIuWl0OXTVCim1FaQNxpnDH9GbCnM+Z5fchJU7CoLeUzY5mQFuvKabfnsOX9WUZ5XSVZNpU79FmfBj/Ky26gzkYVZr5ZdLMbL2HqfuJbvKtNwxL0MpSUxUhJpet9MAcGwzRuYkuJ6TrhI0rQIswtUmH1DDPdTL6kL5hOZhQ+jH1yswso1/cS0uKMQY81Ii2DZOndJj2bVlFZddvppip82aycT9LqfF8gqLPe2j4NRieVpbR5pdieipuWlQga/wwxii+kQKT4somCnauU8a/dFEwRHIrhSJD6Uvq4C1sRnN1bXpTn/SPKTB82YV0v744RLtuvoOqXuijVOkqWvc41rrixy27oJ4xkC27rcYYL+3qaGScls+uIGyQU7JyNe17Y5CK76mm2u0QyS5e1rVMGw69gc2Bbl5Fgw/3EF4Hp01suF9UTnAronTZTMbG8ep7Mn3MvJ7+BJt9ngUwGA5STyxB2n4YtdNtlI41bw7EaDhvmmJ+CAIfezO+23ERdmNas2ZN2mDGKxvnQ2Bj4U9/+lP1yzLLw6s7ZjKsXbuWbr755pksYpJ5p2jwkJfavllPm77gI9+fbSUvfpkceg2/SWO1Qf2WRsKrBvi1FIPim/uo88t+qk5PCiZZlEQXAkJACAgBISAExiSgJq0cg3eEPBrJ22WVdxoteqKPqh71UeCfQmqlQ3wEz/Jn8bJbXxv5Hq+mcuKVDk4BxiUYs+LFFeRZ7yXvw+XUjVWHgxnzUzqhPs1zUcV6D3W/BFn4zrk+KirBKiHML113r0P5DbT6kSbyP79O5eBaxtPPTn3XTY6vJsVsnpx4uZxsMsF1VzX5+nfRrkMVVIWVcNXebmra2Um+x9zZ2aQNRvrl1CmswVnpId+T+P5j/PF59+l0K2SnzzvjlYIwDq6sIs+jXqpeOUy1MI6lwLYBk8mmlyMqxXB/kDbjSE1BU3GKDOrT1SE2thrXS5Yip3gxVYG199FqSh2qpbZBldz2n/I1MAwf6tB3MUbL7CkqId9RbhQ31e+I0Dr3Ooo015ObC3XBOIqSwjAuc5gqL5V4Qv/ou472Laoi358HqLcPL9K+jBViMKzGIccgxCTsFt4Jo5LVGD2hrO0ipXUs52Zxipqe6tD1Fj+Ct6GPNOCHb2cdzUnvcDpRftYVrA5Z2Vy+hqqe9tCeb4V0uTEOdDVDl2tWU/mDeEn0W1jJyx2RjQ9fwkol/GiQ2768Gi3yrD+tG91Yueh5Butbc/Qg0zdtxLC5NNF6K8PsuTBGBswZYFvhUFSGXWS/Z/SHt9A/yUtVdxXTqmasqD2Wrei82tcazG6r+g+PI9abTseuCqpDH+TdaVU4F6E2rBDzuA2BnNKZujRWege9Sme5HC+2YgzsfUuNmNT3LexIDF2PYPfyuj4XebfUU8drWBVNWK1nZzQ06z8ySCEYubLCcB8tuB5OCqAL9c93EPzgURt2W3YaP9QPPMig/EEeV7xUPtJNdS/FsxkuKiVfu5f2bIDUhswEXg33YNRqbkivGs+Swzzpx1rQuF7P0EuIXwN9vBhXP5r07G+kTQ+vxUIUw6hpprF8qmfMNctVW+07pLfV0JE9BM3OlhHnTnXUs8OYarDkHbhzdzFOYZUgQR/bvraVPPeXUeJEtpldzyPzb9YYgbFq69ptVH8wSv4vVZFrZJh4ERBdxEr4h4i2oX+yxqZ4V2TwqOCVzQ5h8OWttO0Q5tYJP1Utc6l81EpaxJ+UfjvkP+2X5/btaCl9vhFgn0k/+MEPNKwGnDXRjh8/rvX19Wnnz5sv9s9a0aqgt99+O13gb3/72/TxTB6w/8h5Fww/FhhklP8IgnNb5cTb2N3JBwe3ypdQPKr5cc90Pzzv6iECCQEhIASEgBAoZALKp6FlIxT48+Jnc95uynhuK19m6ec2fO3h65vpN4/TuDfW647v4T8rwruXss8w5QvL8JmY0P2kmc9+L3zycWCfahm/f7p/JuWviX1nYeOP3PgqzQH+nmCR2/AlmHYab/gZVPlOtlyWCT6h1O7PXJi1DnxuCconFvvNQ0geY/+A8PuY/lqr+63yT3FnX+XjzfBLpR9ndsM0faWZbJTvMJYBfrbYl5h+HX7KcMws2SckTJn69Rof4sB3nZKTN04x4+PT8P9mLZvrlmkj3lSGfVAaaTa2pDdIMX22WXc3Zif7GYf9mjYTvDI+DeEbTvl3zNRH34SEN8TQWbDcPmzU4VX+7Cy6xnWcYJszDxWsOmZew2eUdbMyU57b9BU3lo5a02f1B8sNHI7JT/nicyt/oNmpxj5Lty33N2MzItW+8MtnekmzbpDi5TjGhjTW9tXbP1NvqsRmO0ZfsMYzfYBm+rwuX67OWaUes97wFcc7HnM/G8AGD5l80b4YP9y4Z+pro7FRk9rsxOi3XI6+S62+i7zuI5B9IuqB+VCzPlahh+VvhIJoWbLHe5QvPrNMHzZw4pDbh9VF8x+rLjmkd9Ira9lxbGpklsvjI2/qkdX3of8ZfTQLR79R/h6NsULt+t6CmloD+pDavddk6dG6lO9M+/GDU4YNn6q6POyb1pqfeYzxZD+P5Wa+8GFobqCjxt3MGG+tJ29sYqbxYKMUt/LZyBukZPLxbq9XY54Xu2indVwVa+n3eDaYG04RNrjhPLsMf7mmhPBMaTtG8oZS7LdT95uYVH4eA+aGTGZiPDdVHFU/t1a/Q69rMIY8oZcZv4RmAt0nrnqOwZdoZizP1EuNr8jXb2HmT2+KoufD/cDc6ISv9O5mP6uZPNSxsRFKtn6bcszt5wIuHkJKEAJpAjCi0Sc/+cn0+WwcwHCIpeqlauUd+xIswS/XMxlY7XklITY6UcWsWrUqvfJxJss18w6FQnTvvffO6OvPZlkT/uRfKncGqeorW+HzBa83PVtNf9C5lZIRH7nODVLfqSEqr8SvRIc2U8sSP21b1EGeavz+szFAwe/WUwVWK0gQAkJACAgBISAEpkbgyJEjU0o4OjJCo5cW05KPLc6kT47ArR6uFeHaJePywszt3KMR5LF48RL85d6xPx9NjhItXJwV/9Q/P01Pv7+NDn95VTrR0NFmemJwA65V6tdyZJlsuemMp3pwLkSPbBqizsObaEa+tlwapRGwWVwEllbeqDdfX4JCQ42fp5Et36cNy7ltRmkUKBdzO+UE1a5grNow557tKTIaRTnWvEb/8yB9/qmR7Pr+Cgz+dIIMpsjr7X9upv57/oI23GnUC7Jx/QlclliqqvQISpfFyrZylosjb9OPf/o20lgyItSdbqTPPrCKFufoGKdU8lRCnk+gHUaZaSa/8XQ0E3PyR+9D//9k8I+z+sTkcyFSusD92YT3/ikK/XSUfv8h1BcZqr5Hz9DhP1pBZGnfxacP0nP9lbTzj0oJXTyTnoWwxFN9wYbbVGRVaRz1ZpR+0NhCK/7qGVpxCePWQsuYc+ltaq7ZTBs6D1Ol2TlZJvSjH/sfoVPrO+lP78WNS0OI94QlHuf5HPLcSSusKpErPPLi8YYwzlnbPzda1rmViU36sfQqOx+bfs5jxYg+jqbbNSsRToz60+jb9PzX+2nbrg2qva3RRjHWqzEEg4u1HzmOH9wXUaxjmWbmDn3WvG37iTQY/bKeCxyPZWHu6vliZWqTyanXQzT6qd+nVUvRmMlT9PT/ep6e+f53bNvWto7j5G8WqZ495jhtcjZv5nzmjRE5962nIx9MUsesifk4R78ffth0kJkbcXbPF81ucVJaIRCYbYMhM7nnnnsUGu7A/IowG/T4FeZrr712WpFhhR8NDAwoo+TKlSupoqKCPvaxj01rGeNl9sEHH9CiRYvml8FQCV1MPry+ovuhcFH1lxqI4Gg5ftEHfyrltBZ/dBGvuTS71WYp1ddjeX8iSa5D22jVtyKkfS3n1Z/xQMh9ISAEhIAQEAJCIE2A/T5PJdimQ16Tyc02jzGEyY4/Sof/5iH6+kGivd1r4Bc6k/DOz3+Vvvi5DXTiidfpPpuvW9n5ZNLN1NG/PfccPdn2Q7rVKuS0FgbuN9hneN0NDAaT6mP42Ip417GFw7mdJs0mp81PH3mW6v76+/Tkt3Pqu3I97f3fn6OXo17atuYme2GNq1PlVXT9JWp56vN0/P8E6ZsblqOaqKfNeoBJ15HluuoWKv84LElWoyxfhxGR87OzGy0cfRcGKm4bxOG4ljCejlqiTu7wUhwbaLxLf/8v6BMWI+XkMtFj53G6uoj+7dmn6bmjj9OTt/+E9v/jVbT3lQpdpyzt+2QxDG6jC3G9hJsgO1jijacH2QnHP3PWm6uh/wO00IW2KMrV/Qr62t99kf7wH0/Q61+5L1PIu4ep+Ufb6IfP3qra7r0jbfTjzd+jv7kVFbp0mp79H3X0fVpL32Mds2v8TE5o/1wIlpsTOMxNP5ZeZWeXW1e+i2sOY0V2Wpz9ZiF5vrKeSvIakbuWfZ2crrMi2KfIKZXj2fTZnFjZpw55O8qSnVqdfSz1b1S36Tl6fPMX6Set/5eu2ryXKkrs+/Vk8s0tajJpJzNGTCbfXJn4PEu/7SLM0TVZaThH4Od7sXhdmG6//Xa67bbb5kTU9957TxnV2MDGm6bwysPPfOYzdPHiRWVwm6hQbIQ8c+YM8W7Qd9xxB50+fVr9ysTH022QnKhMHG+y9ZhM3lONm3oTvpGw22I02UEVcKbQ9+11VHWojrTuTeks+76xjsKPdtHWFfCjUdRFAxf8VHSogcr6akn7JlYhShACQkAICAEhIAQ+cgSGT8QogR8Xy+18OLHfp0XYYM3ZvdOs8Ro+hw0AePfLOQzD7wyRC2/XpDcLmCFZUkOD2MQOGxuoHbBzCoFPQfafVTxOo0yZF/JPwb8mYaME0w9djgSzepo6N0SpJaXOOjgTOjpBxlMGAR+Hsf4YxRNEq+AnnXebTQezbOxUPjSCTXHs+iVHNuONowfpfCd4MJbeDA9B/7Hzu5P+D2Nn8+KcXUtwJd12KfYhtwR6ZSx9UnoGuVzYYX22w7h6NdsCXSHlDcP3YQy7QVPJKlpbOY7vydmq80yMETay5+q3TZQ5uSRGwznBPv8LjUajdOnSpfQKwLmUOB6PE2+Wsnz5chrCg4ZfZebVgZ/97Gfp/fffp1OnTtHvfvc7Ki8vp1//+tf0zjvvKIMgryLk+7y5y4033jgvNh2Bz0jl6PSWW26ZNaS8CzIbTccN+PLR/tVqqsOqQT34qPdMC62Fc1YVsIvygidTaSNi5KUmWr1pF27VU/hsAK8069HkXyEgBISAEBACQkAICAEhIASEgBAQAkKg8AmI0bDw23BGajAfV8KZFb1w4YIyIi6B7wZeSciGQt6RmVdFYiMTde2GG27AL5uz/4uTKaPT57Fjx5Qx9oEHHnCKMvfX+ZcU7DrFxsaswL8aYz8n85e9rHtyIgSEgBAQAkJACAgBISAEhIAQEAJCQAhcUQTEaHhFNef0V4ZX7S1btmz6M/4I5sgrN3mV5J133knXX3/9R5CAVFkICAEhIASEgBAQAkJACAgBISAEhIAQKBQCVxWKoCLn7BPgV2ljsRi9++67s1/4FVjiwoULqbKyUgyGV2DbSpWEgBAQAkJACAiBKRLgNxnwhsO8CyzTfJFrOuSYjjzGaqQUfBhONown03j3J1PeFMSzzd5OJrtrtomncHEqco8nz3j3xxJzov31csoYq/yJ3mN/jfB/OBW1nGgRMxovhTe/WP655mit5FR00Zp+osfzqc4TlfkKjydGwyu8gS+neouxLzr7CdQ07XKykbQgwLs29/b2qleTBYgQEAJCQAgIASEgBOwIDL/VSZs9q2m1p5b2vBKBW5DLD6kTbbTA3TYteV2+NLk5DNMe7ATbfY5o+FSEIu9MR41zy5jaeeyF1bTgBdPPcyaPy5Ez9u0FtOBv8/PM5G45Gh6kvv4hdSH2vXVU+9Kg5eYkDy/GaN3VC2j1N0LOCXmiPhKhzY+1KTc1zhFt7gzzBnlNNDSpyX6K2iDTnrfy23zwzT4awuXUKejuY502BU7u0vAbu2jBV7qzEoW+0UShd7IujX/iwHFMOcFkuL+Nar+Ndp8UH6SzkXs8IVNv7aMFV+/L7+/wXR55Qx9TbPXp4hA1LKilSH5zWIrM9FfLxfxDxWkzDU6yvvkZTe1K7BW0N8YV3kizqAh6/0y7oZsp2rcAOtc/ZiWnVqiRytTdvEzYd/xfrqMFKH/Bk21j9JVh6sTGkwuKSnT50UcaXuxT2TmO5akI8l2d33bcDgvWUWwaqmvVRcfn1HCM2v6ygWofw/Pr1VgeAsc+d3GQ9uCZ1839cY51J09ouaATgEFIghAYlwBWHY4bRyI4EwiHw9rPfvYz5whyRwgIASEgBISAEPhoE4h38a+0WmN7rxYOBTU3jn2dA5fNJBlrRb6tWvKyc5r+DBKH6zXa0qUyju4ljXZHp7+QKeYY3e/R3Hvz5bkcOZNnolo0PsGWiLWg3Vp06ZNh6INHC08wqW2V4z1Kp3rO2t7VtJMdSv9YB7HJnRa94BDP5nLPdujqwbjNnbEuJbVgJWktx/Mr1QoZAup6UmvlOJH8OGPlnH0vrjUivw5DvEQ8qvW0+1VdW23Kzk5rc2bL0VnOgU7ouGIKrts7JtEPs+W2kcT2kmN/vxBVcoS5XW30SaWrCdrmaV609lfzmtNndK8b/SfsdHvmrp8Pq3oGI3qDJ+NhzQf+7v16X44fD2sT7YJTETKju9mpk8e5P9drA+fjWoD120GnE8cCiOfTwoaQ8WNBVZ/WWFJLHsdYXmnTRheSWjQSzdcttLnncscNVQ2LLjo+pxKqXrQlqIWPdaixpv6g/vwar891YfzgPmL2xznTnewmkzMLAV5FJkEIjEng/Pnz2uuvvz5mHLk5NgFs3jJ2BLkrBISAEBACQkAIfKQJRPe7YUDrSTOIt3s1wiTe0VxyYUDzb/Rp/mbEq9SNggOhFjVZ4wlY/f5elTbLiJAc0Fq2oBzcp5pGredMUkv0tWgeTPTMcpLHg8Z5UuvdnzF4eJs7tAR/nVHlerXGHT49H0yEew2DDE9wPZw3/jw7glpcff1Jaj17zbgerbXPiHwhrtUjXvCkpsUP60YcThfE5BhWDds0Awf9mnc7/hCv5XhC62r2ab4djXqZqE9XqEMZCDifwGGjHJMojAk+xFHGMK5DjUcLGkaj6IF6rTHHQGtnNMyT82xYa4RRS/GsrFc8ubiBzoDm39+alsV/0DBYHAxoAcO4Zs/KEPZMV5qjr11P27sDTNsvz4jcsTFjPDGxZD6TWscWvS71eQbAJFj7tdb9fkO/vFoH+KugjAg+bQBtnYi0ah7TMMZ1qGzUwuc5FgyEW5DmpKll+jVlEMwx3PWwPqP9TMNlog+6MZYxK96rBfZm+o2SyfJP/CB0eGOHcYXr4dU8NXofMI0UlugTOrTj6CgnDDdstOI6deWopIZ7gR0BrXW30T82BrSo4oU+kZY7odjp/UJT8tcbOsF91btDN7qbgmf1d/Oi0ndDT42+nqtP4Wa3Mvw66a5m6a8TaudED+rsVXrBYnDfze1jrBfWMaax3TQy2vd/lY/NGGdWkz9145xXi1pULYFxqTWkw+9pxjiBcc9+jElorRsz44Kpt2qcsBk7+T6PQfXIk2Cc+/ud2bqbJVeMjX8wxp+NKiO2k+6xwSx33A8faFFjS1LlAQP9Fo/SJ/f2YHpMDmwPKNZZY2R/xGI0tGGajGr1GLf0PgppMUbyuZUd1yGji5rm9JxKqB+nGjVTxVV/UD9Wjd3nVN4ok/tImkmO7lg5yvHcEBCj4dxwL7hS33jjDe3EiRMFJ/dcC/zhhx9q2ExmrsWQ8oWAEBACQkAICIH5TiCZ0BKGwYAn6AEYo8ZcqQODAxvPaEurFj2T0JIRXsni1Xp5QpzQJ6a8+itjRMCEGHl69sKYCANP9CBPdOu1eKJXTUBNg0YXDEdcrj759ulGDEyY2cCnVoUZ5bqbeyBvHAYNyNCMyf5ZNhIgDhsFz+vlezvjWngvJrg1rWp1TyKmr2brOIPGwASVV8/pRjxMaGG0IBhAeDrvlCZ6QJ+Ut4aimCzDEFWDsjnv8zAgwqjGE/eekwltIMSrdWA4UEZLs+H11TItMZyfMVbVsdxaQvND7mCWQYsnxzYrDVFmRs64Suc7AFa4Hm5nA6tuPIse4Em9VwufhVEWhh3mwkYfNeHm1VcOrExJ+XMgxIbURm2AgSCo9sAqI+NUv4h/wweDWrA95++gaXxJR0MGYV1feLVTFpdMnIHj0JcLCehTbikG641gzbqjVs/phpkkr4wyjNZ6vfQ2jXfqhrDAMeR1nnUstz2M1Xk5RkPt/IBasdRorFJiuT15aTMya8ZKWsuVrMPwbqx4M1aZpW8YOpw2UqRvTODAiaOTnMwTOqkl4tDTnPwhBxvZvftZhxJaB6+4Mn4osMrdA93W6zBgGCADSg+U4e9A9mrYTH/PLit5Rl9p2mXoebY+sQHfrfVCPifdzeqvSn/Ha2e9fXmFHId4qFVryTXkKyOYMcac7VUGaV4J69T/nca4rJrCQMorS7nPebY0asHOHsvqXsiE67xy1amM8G6kNVY/a8ogzit8HcZO9Hs1BqHf96Dv5OmuVTDIxWMoy+VDezuGk/qKcxVvR4vWcTizMtI0GgZCA1oSYzwb2vzHoFvQIzfaj1ciZ42RMAqaKw3t66u3kdf4wSR+kPts/qp0qy6iYNvnlDISWsYnXQ/9GF2NYNfnFF/IfV7nmFl1nK07ZhbyOXcExKcheqSE8Qncd9999KlPfWr8iBIjiwBeS6b33nsv65qcCAEhIASEgBAQAkIgj4CrmIqXEMVeZZ9kZdSwJkjdT+El5TFCijwU/o6PKpYV0+Ax+GyrXE2JWIi6jw1SUSVR29FoJnUqTp39RO7iBIUOddPgCN/aQ+HUWoKhkJpeHVT+pJpeJAo87ibX3T4aiPgofrST2r7dhphELiM3LrdtRzXkLSXvV1qIdobpxGvtKD9IvgdKiZZUkD8Rp30Puij23W5yry2i6JFuCp9JEdeoNzZEqdO9FEE+5YtwYZGLykrLyF1WjjJSjml4VwO8Mky+hyqoGOmScbzA+3wdlS4ppvIKmF921FP1Chw/iKky8sneRKCUane7wSYGVr1ENYjf2UtD58LUREi33KydUUm7D6ucp0JI56VGZoXr7scbyEdtFDoBB2L439seIPdSFxXfvYnCzWB6hH18oY6o4aAtq+KsEsvLwLGynMpMsVAG9cfzfdWNJCmBv2T6L4HzrKzUyeAr+6hzo58aK/dQ22vD+RFwpfzuUtSlGPpkFpqJxqyD3/RRKbhXPNpEAepUdR3sC5L7y6t13Vi6mlqomyKnhij8Wpg8G90U6ovR0FvwpbgFesptPV5YUkZl0N2y8jI9JtebBmk4p04p+MAMwUdf6DX29xaj0Js4PhrJ8ceYonB7hHxryrNLha89NJF9YP9qT26mhmfw97f5PiAdOTrIScwTOknFpdBTuyJ9FPgS61AxeZuhl4eC8EGXLXeVN0CR70RoCHUGVehQiCLnhqj3WZipH66wyzTvmgv9q4z7m6nnVn06EaI9lQ3kZvkcdDerv06wnYuQ3dCwTrr0IR9tfRg6bQ1L+byN6p7ZRZ3HXdQRT1L1Uuf+P+4Yx3kvKic//PHjNWTyPVhCoRf/gFaVFVHtPxi+RKFbtMi5DPfjHUQv7qMYdCT2apMaU9zkMHaeQ148Bh1voWr0HcrVXZaHA/xF7llzB+3ZWE8+lB9H+8ZeaaLNL+b7/aMVHtIuJCh6rIeqS+LU9shqKoNfxvb+YWSUxF8r1T+EcbK4grZiPOvow7iNwK2rQs4YaVx0GFOHad3ueur06noe2tlG9YfX6X1ZT4h/s3URBds+p+Inw+kU+gG3/iDFwVGF3D4HJk1l68jfF4LeoY+DozVYdcd6XY7nhsBEhu65kUxKnVcEFi3SVYV3U7799tvp2muvnVfyzVdhbrrpJlq5cuV8FU/kEgJCQAgIASEgBOYLAUyi9m0oo22H6qknlqDqu2BomEjgSZn5jZ7njZijs7HMvbODumCE44mbCkacIv7EzqK0pIo62ruoAoaCsqdbKOKGsWc5NkuoCWLijsn+kT10xyNN5N+P84fWUSPtyja0mOUqYwnyTCV45pqZcLpc5EphMohrulgw4qWKqakzCIMQ6gYRLLH5JBOc0pzOREkfsRwckJ+7jEtyDhU1W6n7C0FqK4tRx94ADW5soLYXMGnd0aCMYc4p8++kUjyBryDFk29f5HOikmLUGfVefU+JOud/VNRSNn4ZwYmVeR+fCk+/5YLDYTnapsxkYMYx28Q8pyFq29RGWPVFtWcSVFLdQU1Yp2SRKB3T+cBDpaWZuywfG26zQzFV7/dS3f42Kj/qocCr1dTwiX3UtrGN/E9BPyYYdJJjR47DOL7v1TiVvNOGiG5qh806MVJG/gfdlNVz7BjmyW0tq4TcMCgrAyeMQNlhOjhacuR+CB0qMeUxdEi1i0Vu191Ya9kPXf0uUfXBANXy8QstMCAGKGRpE0vOjofKkG6WZ8SKvBog385uXR/G1F1TY6annWlpNSXPDlDva/ih4wUf1b4coeBJfRyxHTNOQ2D9Rs4Yl6nu0Ku7qGXYS/4vuMl7N/6+UE8BbChTsraXUl+wGFiRj20ZyzwwfGNTDjZGPwl5YlUYX/Ux1G7szDUr2+lu6lQXNfT7KRFppOKROtp8/WpaBZFbIk0ZwY2j0Dc209CjLbTp/mqqwN+mP/dT3zcWUNWRQUqu1yOx1nBLuIpRAx5jJxIc6lu6rA6mZB9195dRoB8/Bj1oo1AWXWQDqN1zqngNfoTpz9TepQyca/UfhVi+HJ1LnejAEwVhbTV+fDEMuvdg85rjSdp0N9+QMJ8IyErD+dQaBSALNkShSMTo2AUg71yJ+MEHH6iixWA4Vy0g5QoBISAEhIAQKCwCgy9vhcGwkaIJP1Vhpdfw8LC+uop3Pc1bQZVft5KlmBXGi6lqPQwMj1ZT6lAttRn2Qj02VvPhoHhlFXke9VL1ymGq3dSp5pyuyloYBbfRahgJA82Y/CEkMKmjHb3UuGUTrV1Oalo31vR0+ZparJLqoMgwp8Yuq9j903d0mFwwSsaxKsaz3kveh8up21sHMyYMist4At9JgzwDNgNWyfB02CmNGW2qn667qsnXv4t2HaqgqhUVVO3tpqadneR7bOwVnXnlQU7XXeCIaW+XWgHEO+R2Y81UPVXxnLs4RU1PdYACwgh2FMWKsIYHM6vdym1ZDWUXowyBMLQaV3X2YJMVK0Wh3R4qW+8j35PG33qsJ4MByEzH0VP9QUjaSOvuwsrHB9lIsJk6bXYtzso656SorJsavqfPAYbfAjessqxCfmWoS+S74XR5FTV1FPlWE3WugdFjWRVVg0rTy1j5uaY4J8exT1NKFzJxYIPOCuXr66ljf4Ba97biegO1Ph/AeX3OakYXrcIqzzasvJ1wwIq/avQP1lcPVrRaw0Q45sppTZ93rIy7DRR8U2kKxQ7tw+rSOipHJllyuyqobguYP9tN1WsrYNQE1Z27qGwvVvvmZTrWBSznMgzMGX0aoo6vEm16iBUXwUF3c/vrRNvZZQBRu46f0OupF6TvDl30RB9VPYrVlv8UIj9uxEec+//4YxxGD4w3u56oo+5TRg+AYTbGK4srM0b8sccYF9UebqSG6ipqqGwhz11MynnsNOti/czT3UW8bm6QBrn6S9y0CX2WQ/xsNg91MYmVl/fsoZi5snZkiKKwX7r5x4gpB2em5HJT/Y4IrXOvo0gzXlLPKyZbF52eU8qAmR5XUtS+czOeH7xy3D647tpKyfNYIX2+l5JYxtxSCWcMoTgMhpkUpu7Y5yBXZ5XA3L0ZLSUXKgHx0Td2y/HGMUeOHBFfhmNjkrtCQAgIASEgBISAhUDvbvaDp/u8Sn+yfzP4SuPzvJ1zlT80+BVLu5/DhgnGLpQqveF/TvmWMnzOJSK6fz0zf+V/0JBB94UFR/aGvzvTf5aKW+nV6tUGKvA/pvxkZTYa0PNnX3vsaN/cCAD12Nii55WAc31LvbzwqagH3Zdgl7Gbr7nLrPIz55CG/Qx60v7p4AcLPhpNv3Qsf3q34zw2GdDsH4626xtnJI+xH0iuU+a+eZRdlnmVNznRN4fhcuPYlMFkyZ/BiO7BK3oAvsEqjQ1ncN1t+GrM5OnAKlNM2u+iWV9OS80mO2vE8Y954w6vxfedko/9BNrU2z43sOZNVMxNX1Cnxk7Dl57atCCzAQL744TxR2s0/NcpX2ob830xqk0mLO1nLVffTVXfLVrtGEuBjG80a0QcKz01fSrm3ONT5WvNaO/0bcO/mrm5SPr6OAdjcRxPTtusIYfa2Re8dD1yax2GD8BcueOH2QepwRn+QGF2MjYNys450x+zr/MGRqofGqzS+nQSY4LFF52T7pq+P83+Om47Kx+P8JNoOLVTG3zszvHlh7HE9D+ojzN+XScd+j/LYDfG5dQUm6sYG8ukucLnoLH5SXrMcCwDuUEu9hdr3RDIfuzMHoNYDqvuZuTCJkM7MuMBYcObnoP62NFj7hxiRkb/aTU2JEqPLfBby+NybtumxxPLeJe+xvlZrmtj1Ncc6536g1UXHZ9TKG5A+ck1dLkykH6WqKqN2ecMjobu635MM7qj0ss/c0pgAZcOhZQgBCZFgH9BicfjVF6e+dV0UhlcwZHPnj1L586do4qK7F8nr+AqS9WEgBAQAkJACAiByySAHxwvMwc9+ejICI0uXExLihbb53dplEaSo7S4aAktXmgfJX1VxcXimCVGXpdwZ7w0eCtlFPEW55Q/ArkWL0aZFrGGjjbTE4Mb6PCXscyEQ07+dmn0iHP8r1VOZjQCnksyPN/+52bqr/wL2vAJLDQc5bZwkNeBVTo2l6PCEDXXPEEbOg9TJVZSzX4YpR80ttCKv3qGVlxi/cpux1DjI/T2Y530p/dOo3AG4x/7H6FT6y8j70tvg93mGWc3JTlHT1Hz10/RX+z6n1AULC2z9smZkHsC+jSW7ub11zEU8X307T8Z/GP07VUq1ujpED137JO0c+OKvFRqzLqEfvIxy+CAWE79f9wxjktA3+Jxjgccx7FwjDI4i7ww0bHT0N3c9KNJ9B0aWx4zjc6Ex9Hsvmben+qnHdPR/zxIn39qhDoPbyLbHjwZXUQdMRyiLW1zmpDYVt258cYbifdWkDC3BBbNbfFSeqES4NeUBwYGaMGCBbR8+fJCrca0y82vEt18883qb9ozlwyFgBAQAkJACAiBK5bAddddNy11Gz+f6+i6GyZa1GTiGnmiHnY1sZPrzs9/lb74uQ104onX6b6P5ctklyY/1lxfyWe0cPRdGNb4+mJbFmmJHVil7xsH7x1pox9v/h79za12ZHNjz8T51TR6bIAWulCnovz2Xf/1vfQ5z/+jP3n9SbppOot/9zA1/2gb/fDZW8fmOGaZFfS1v/si/eE/nqDXvzJDxoepynl1Eb17bJRYzxfn9f+Zk3ssfRpLd8frr+lmuBSnXc++S3//L2ugL/rVFN1GT/3xvahrOlb6wKn0lmkCAAAJ8ElEQVSfT/Z6OkM+4L5lfSM562bmxKmMTAzrEfdp6/nkjidT1mTiTkaK3HxPH3mW6v76+/Tkt39It9o1jsp8ErrI3CcjUG5cG93JjSLns09AVhrOPvMrpkQ2kC3GrzeyKYrepK+//jp+iV9C99577xXTxlIRISAEhIAQEAJCQAjMKIER+G6EH7nLctk1owJOPvMUdrZNYWfp6apTCt+5CTtEu+Zwucfw0BC5sNutkwypc5CxeJplTEE34LVvOjgODyGn0uLJN+ZEUkxZzhQNvZOiUux+7hRmQu6x9Glc3Z1If4UfQd7tung6Gs4JjFyfFgKpIfhaHCnRd/geJ8eZ0MW8IkV38pDMhwtiNJwPrVDgMvzqV78i+PGjT33qUwVek6mLz2/5/+IXv/hIM5g6PUkpBISAEBACQkAICAEhIASEgBAQAkJACMw3ArJ78nxrkQKUh5c5//KXv6T/+q//KkDpL0/k//7v/6bBwUH1mvZH2Wh6eRQltRAQAkJACAgBISAEhIAQEAJCQAgIASEw3wjISsP51iIFKs+HH35I11xzTYFKPzWx2ZHsv//7v1NZWRmtWqU7+Z1aTpJKCAgBISAEhIAQEAJCQAgIASEgBISAEBAC84uAGA3nV3sUvDS82pD/PvOZz8CPhbN/jkKv6O9+9zu66qqriF/Nvu222wq9OiK/EBACQkAICAEhIASEgBAQAkJACAgBISAEsgjI68lZOOTkcgncfvvtdNNNNxG/tnslBt41uq+vj2KxmKqeGAyvxFaWOgkBISAEhIAQEAJCQAgIASEgBISAEBACstJQdGDGCPAry9FolFauXKl2FZ6xgmYx4/fff5/OnDkjOyTPInMpSggIASEgBISAEBACQkAICAEhIASEgBCYfQKy0nD2mX9kSmQfhwsWLKCf/exnBV1nNhTy6sL33nuPbrzxxo+EwTD0jSYKvWNptuEYtf1lA9U+Vkt7XtVXWaq7uN79SjuF3hjMRL44SPv+tptSmStyJASEgBAQAkJACAgBISAEhIAQEAJCQAgUGAExGhZYgxWauJWVlbR69Wol9s9//nMaGBgomCqw30IOp0+fpmuvvVa9dl0wwk9R0OGhGIVe2kV/sHMXDQ6bZr9h2lOyijafW01NX62j4IZV1PAqjIQwDm7G9c5TCWpfewdtfmVIlRp7YRvF768i1xRlkGRCQAgIASEgBISAEBACQkAICAEhIASEwNwTWDT3IogEVzoBl0s3H1133XXKaHj99dfTzTffPG+rbb5WfenSJbr//vvVysKFCxfOW3mnT7AU9b7YRPv6LKsGkXnqRAc1UCPF92+iUpyH+vxUsjZE/jNF1FbZStqf+4jWE61+NQFDYpzqvuul3siVuwnO9PGWnISAEBACQkAICAEhIASEgBAQAkJACMxfAmI0nL9tc8VJtmzZMuI/DuaGIvy67913361eY57rCvPrx7yJCxsNOdxxxx3q86NhMOSqusjztQ7yXIxR7dWrVN35n9QwVhBWriLTDOgqZtPhEKVKfdTYX0brnsHryt/aQ3V9cQrt9GEVYpesMkzTkwMhIASEgBAQAkJACAgBISAEhIAQEAKFSUBeTy7Mdit4qRcvXqw2SOFP9nvIuy2fOnWKLl68OOt14zJ/9KMf0X/8x3/Qb3/7W7rhhhvI7XYr/4WzLsx8KBBNYL6YzOLET4ZzpCrC+SDFse7QfyFBfvg59J9JUv2yEDWk6slDIdrsXkAL3Jup+4Q1p5xs5FQICAEhIASEgBAQAkJACAgBISAEhIAQmLcEZKXhvG2aK1+w2267LV3JCxcu0Llz59RmI7/3e7+njIi84m+6X2NmP4VXXXUVvfXWW6osXuXIqwv5k1c9SgCBnFGhfI2HqD+ZRuMiPl5L5SpeMbkfWIvzFLW5O6jttTYKXl9C1ccTFKBuKqnYRwmtPr1KMZ2JHAgBISAEhIAQEAJCQAgIASEgBISAEBAC85qArDSc183z0RGODXcPPPAA3XfffarSH3zwAcViMbX6jy/88pe/VMdnz55V9/n1ZjY0OoVkMkm//vWvaWRkREXhVYRHjx6lM2fOqPOSkhL69Kc/nd7cRAyGTiTx0nJxGW5ups63eNVgitp3bibaUZ71CvLwG3uo88t+ci9x0TBiuYpdVFzMLzTLSkNAkCAEhIAQEAJCQAgIASEgBISAEBACQqDgCOSsKSo4+UXgK4zAokW6Sn7iE58g/jN3MNY0Tfka5NeHOfziF7+goaEh+vjHP04VFRX0r//6r8QGxdLSUiorK1MbrrDh8JZbblGrFdnAyEYs/uTXoDnw/eFhNnFd2YH9SJqb0Uy0prx1TZE5OpR6aOBgI91xTxHVcQaVAYq3V2eyujhE/rWDFLhQoa5tjQSp+hNFVEtuCh4LySrDDCk5EgJCQAgIASEgBISAEBACQkAICAEhUDAEFsAYoxWMtCKoEMghwDsc80Yl7JeQVfnqq6/OiSGn00ZgZJiGsXCweKm5JUom5xQWdLqWZM7lSAgIASEgBISAEBACQkAICAEhIASEgBAobAJiNCzs9hPphYAQEAJCQAgIASEgBISAEBACQkAICAEhIASEwLQTEJ+G045UMhQCQkAICAEhIASEgBAQAkJACAgBISAEhIAQEAKFTUCMhoXdfiK9EBACQkAICAEhIASEgBAQAkJACAgBISAEhIAQmHYCYjScdqSSoRAQAkJACAgBISAEhIAQEAJCQAgIASEgBISAEChsAmI0LOz2E+mFgBAQAkJACAgBISAEhIAQEAJCQAgIASEgBITAtBMQo+G0I5UMhYAQEAJCQAgIASEgBISAEBACQkAICAEhIASEQGETEKNhYbefSC8EhIAQEAJCQAgIASEgBISAEBACQkAICAEhIASmnYAYDacdqWQoBISAEBACQkAICAEhIASEgBAQAkJACAgBISAECpuAGA0Lu/1EeiEgBISAEBACQkAICAEhIASEgBAQAkJACAgBITDtBMRoOO1IJUMhIASEgBAQAkJACAgBISAEhIAQEAJCQAgIASFQ2ATEaFjY7SfSCwEhIASEgBAQAkJACAgBISAEhIAQEAJCQAgIgWknIEbDaUcqGQoBISAEhIAQEAJCQAgIASEgBISAEBACQkAICIHCJiBGw8JuP5FeCAgBISAEhIAQEAJCQAgIASEgBISAEBACQkAITDsBMRpOO1LJUAgIASEgBISAEBACQkAICAEhIASEgBAQAkJACBQ2ATEaFnb7ifRCQAgIASEgBISAEBACQkAICAEhIASEgBAQAkJg2gmI0XDakUqGQkAICAEhIASEgBAQAkJACAgBISAEhIAQEAJCoLAJiNGwsNtPpBcCQkAICAEhIASEgBAQAkJACAgBISAEhIAQEALTTuD/A1fzTqlZ2kVkAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename='./images/2018-06-02_10-41-40.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Why attracted to Ethereum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:15.457678Z",
     "start_time": "2018-06-02T13:43:11.958769Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Snippet of keywords for topic modelling for the first 10 answers\n",
      "[['community_b', 'people_ve', 'see', 'ethprize', 'scale', 'idea', 'month', 'ago', 'community', 'effort', 'people', 'help', 'different', 'organization', 'volunteer', 'basis', 'cool', 'thing'], ['solidity', 'able', 'run', 'code_blockchain'], ['crypt', 'bham', 'decent', 'money', 'invest', 'try', 'pillar', 'community', 'help', 'integrate', 'blockchain', 'culture'], ['build', 'censorship_resistant', 'application', 'sure'], ['world_computer', 'smart_contract', 'attract', 'potential', 'decentralized', 'application'], ['liberating', 'economic_activity', 'omnipotent', 'government', 'control'], ['liberty', 'opportunity', 'want', 'build', 'cool'], ['ability_create', 'computer', 'program', 'run', 'verifiably'], ['immediately', 'propose', 'technology', 'adopter', 'tool', 'build', 'powerful', 'social', 'system', 'lot', 'positive', 'outcome', 'naturally', 'emerge', 'basic', 'property', 'work', 'progress', 'network', 'kind', 'form', 'developer', 'group', 'institution', 'able', 'produce', 'system', 'anticipate', 'help', 'work', 'forward', 'need', 'guidance', 'order', 'safely', 'reach', 'maturity'], ['fair', 'money', 'scale', 'world']]\n",
      "\n",
      "Model performance\n",
      "\n",
      "Perplexity: -7.358962153191485. Lower is better.\n",
      "    See https://en.wikipedia.org/wiki/Perplexity.\n",
      "    The best number of topics minimize perplexity.\n",
      "    \n",
      "Whole model coherence: 0.30488231769851754.\n",
      "\n",
      "By topic coherence. Higher is better.\n",
      "    Measure how \"well related\" are the top words within the same topic.\n",
      "    \n",
      "topic_id |                                top 3 keywords | topic coherence\n",
      "       0 |     ['community', 'smart_contract', 'people'] |   0.2771\n",
      "       1 |                   ['vision', 'world', 'work'] |   0.3035\n",
      "       2 |           ['potential', 'community', 'world'] |   0.3675\n",
      "       3 |             ['bitcoin', 'world', 'technical'] |   0.2703\n",
      "       4 |    ['ecosystem', 'economic', 'decentralized'] |   0.3262\n",
      "       5 |                  ['learn', 'build', 'people'] |   0.2807\n",
      "       6 |              ['bitcoin', 'community', 'idea'] |   0.3089\n"
     ]
    }
   ],
   "source": [
    "stop_words = gen_stop_words(['ethereum'])\n",
    "\n",
    "lda_model, corpus, id2word = model_topics(\n",
    "    df['why_attracted'], 7, stop_words,\n",
    "    use_ngrams = True, n_grams_min_count = 1, n_grams_score_threshold = 1 # Need more data to have less permissive thresholds\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-06-02T13:43:15.984503Z",
     "start_time": "2018-06-02T13:43:15.459601Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(0,\n",
      "  '0.037*\"community\" + 0.021*\"smart_contract\" + 0.016*\"people\" + 0.013*\"build\" '\n",
      "  '+ 0.012*\"come\" + 0.011*\"stay\" + 0.011*\"want\" + 0.011*\"don\" + 0.010*\"work\" + '\n",
      "  '0.010*\"time\"'),\n",
      " (1,\n",
      "  '0.027*\"vision\" + 0.020*\"world\" + 0.017*\"work\" + 0.015*\"value\" + '\n",
      "  '0.014*\"technology\" + 0.014*\"change\" + 0.012*\"people\" + 0.011*\"challenge\" + '\n",
      "  '0.011*\"vitalik\" + 0.008*\"improve\"'),\n",
      " (2,\n",
      "  '0.017*\"potential\" + 0.014*\"community\" + 0.011*\"world\" + 0.010*\"promise\" + '\n",
      "  '0.009*\"way\" + 0.008*\"use\" + 0.008*\"useful\" + 0.008*\"program\" + '\n",
      "  '0.008*\"platform\" + 0.008*\"worth\"'),\n",
      " (3,\n",
      "  '0.021*\"bitcoin\" + 0.019*\"world\" + 0.016*\"technical\" + 0.015*\"technology\" + '\n",
      "  '0.014*\"possibility\" + 0.013*\"freedom\" + 0.013*\"community\" + '\n",
      "  '0.012*\"smart_contract\" + 0.012*\"building\" + 0.011*\"good\"'),\n",
      " (4,\n",
      "  '0.019*\"ecosystem\" + 0.013*\"economic\" + 0.011*\"decentralized\" + '\n",
      "  '0.011*\"bitcoin\" + 0.010*\"believe\" + 0.009*\"swarm\" + 0.009*\"like\" + '\n",
      "  '0.009*\"easy\" + 0.009*\"attention\" + 0.009*\"technology\"'),\n",
      " (5,\n",
      "  '0.019*\"learn\" + 0.015*\"build\" + 0.013*\"people\" + 0.012*\"think\" + '\n",
      "  '0.011*\"lot\" + 0.011*\"infrastructure\" + 0.011*\"order\" + 0.011*\"whitepaper\" + '\n",
      "  '0.011*\"idea\" + 0.011*\"create\"'),\n",
      " (6,\n",
      "  '0.017*\"bitcoin\" + 0.014*\"community\" + 0.013*\"idea\" + 0.012*\"project\" + '\n",
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      "text/plain": [
       "PreparedData(topic_coordinates=            Freq  cluster  topics         x         y\n",
       "topic                                                \n",
       "0      19.154746        1       1 -0.021378  0.191191\n",
       "6      17.862202        1       2  0.183845 -0.003071\n",
       "3      15.761008        1       3 -0.014184 -0.041869\n",
       "1      14.727922        1       4 -0.034468 -0.046080\n",
       "4      12.155687        1       5 -0.035050 -0.074671\n",
       "2      12.013332        1       6 -0.102971 -0.003693\n",
       "5       8.325103        1       7  0.024207 -0.021807, topic_info=     Category       Freq                  Term      Total  loglift  logprob\n",
       "term                                                                       \n",
       "180   Default   9.000000                vision   9.000000  30.0000  30.0000\n",
       "37    Default  13.000000        smart_contract  13.000000  29.0000  29.0000\n",
       "314   Default  18.000000               bitcoin  18.000000  28.0000  28.0000\n",
       "8     Default  32.000000             community  32.000000  27.0000  27.0000\n",
       "448   Default   6.000000             ecosystem   6.000000  26.0000  26.0000\n",
       "671   Default   4.000000                 learn   4.000000  25.0000  25.0000\n",
       "86    Default  19.000000                 world  19.000000  24.0000  24.0000\n",
       "184   Default   6.000000             technical   6.000000  23.0000  23.0000\n",
       "39    Default   9.000000             potential   9.000000  22.0000  22.0000\n",
       "317   Default   8.000000           possibility   8.000000  21.0000  21.0000\n",
       "55    Default  15.000000            technology  15.000000  20.0000  20.0000\n",
       "148   Default   9.000000                change   9.000000  19.0000  19.0000\n",
       "32    Default  14.000000                 build  14.000000  18.0000  18.0000\n",
       "5     Default  11.000000                  idea  11.000000  17.0000  17.0000\n",
       "373   Default   5.000000               freedom   5.000000  16.0000  16.0000\n",
       "670   Default   4.000000              building   4.000000  15.0000  15.0000\n",
       "155   Default   4.000000              economic   4.000000  14.0000  14.0000\n",
       "262   Default   5.000000                 place   5.000000  13.0000  13.0000\n",
       "10    Default  20.000000                people  20.000000  12.0000  12.0000\n",
       "190   Default   6.000000               vitalik   6.000000  11.0000  11.0000\n",
       "185   Default   4.000000             challenge   4.000000  10.0000  10.0000\n",
       "459   Default   5.000000                  stay   5.000000   9.0000   9.0000\n",
       "233   Default   5.000000                 think   5.000000   8.0000   8.0000\n",
       "508   Default   8.000000               promise   8.000000   7.0000   7.0000\n",
       "543   Default   5.000000                   don   5.000000   6.0000   6.0000\n",
       "40    Default   7.000000         decentralized   7.000000   5.0000   5.0000\n",
       "313   Default   8.000000                  come   8.000000   4.0000   4.0000\n",
       "243   Default  11.000000                 value  11.000000   3.0000   3.0000\n",
       "61    Default   4.000000                   lot   4.000000   2.0000   2.0000\n",
       "220   Default   4.000000         decentralised   4.000000   1.0000   1.0000\n",
       "...       ...        ...                   ...        ...      ...      ...\n",
       "65     Topic7   1.271909                emerge   1.885140   2.0924  -4.9914\n",
       "33     Topic7   1.271617  censorship_resistant   1.885292   2.0921  -4.9916\n",
       "674    Topic7   1.271026            interested   1.885474   2.0915  -4.9921\n",
       "684    Topic7   1.267713                  self   1.886229   2.0885  -4.9947\n",
       "236    Topic7   0.918204               economy   1.530482   1.9750  -5.3172\n",
       "58     Topic7   0.918119              powerful   1.530490   1.9749  -5.3173\n",
       "36     Topic7   1.912945        world_computer   3.240520   1.9588  -4.5833\n",
       "961    Topic7   0.854770            incentivse   1.466492   1.9461  -5.3888\n",
       "962    Topic7   0.854770            previously   1.466492   1.9461  -5.3888\n",
       "950    Topic7   0.854558              backbone   1.466548   1.9458  -5.3891\n",
       "952    Topic7   0.854558              everyday   1.466548   1.9458  -5.3891\n",
       "953    Topic7   0.854558                 thank   1.466548   1.9458  -5.3891\n",
       "951    Topic7   0.854558        computer_smart   1.466548   1.9458  -5.3891\n",
       "877    Topic7   0.854456             unreached   1.466576   1.9457  -5.3892\n",
       "1036   Topic7   0.854341              seperate   1.466617   1.9455  -5.3893\n",
       "1035   Topic7   0.854341               fulfill   1.466617   1.9455  -5.3893\n",
       "1034   Topic7   0.854341                public   1.466617   1.9455  -5.3893\n",
       "1037   Topic7   0.854341          organizatiob   1.466617   1.9455  -5.3893\n",
       "542    Topic7   1.271357                   web   2.406623   1.8478  -4.9918\n",
       "233    Topic7   2.324125                 think   5.633909   1.6004  -4.3886\n",
       "61     Topic7   2.076655                   lot   4.899780   1.6275  -4.5011\n",
       "32     Topic7   2.714830                 build  14.645816   0.8005  -4.2332\n",
       "101    Topic7   2.022949                create   8.252664   1.0799  -4.5273\n",
       "5      Topic7   2.026232                  idea  11.913024   0.7144  -4.5257\n",
       "10     Topic7   2.498322                people  20.102963   0.4006  -4.3163\n",
       "203    Topic7   1.273197                 exist   5.848321   0.9613  -4.9904\n",
       "17     Topic7   1.336761                 thing   7.575299   0.7513  -4.9417\n",
       "317    Topic7   1.273125           possibility   8.252682   0.6168  -4.9904\n",
       "55     Topic7   1.430067            technology  15.164437   0.1247  -4.8742\n",
       "68     Topic7   1.400896                  work  17.616566  -0.0458  -4.8948\n",
       "\n",
       "[378 rows x 6 columns], token_table=      Topic      Freq             Term\n",
       "term                                  \n",
       "649       1  0.892724          ability\n",
       "49        6  0.494497   ability_create\n",
       "19        1  0.331297             able\n",
       "19        3  0.165649             able\n",
       "19        4  0.165649             able\n",
       "19        5  0.165649             able\n",
       "19        6  0.331297             able\n",
       "19        7  0.165649             able\n",
       "929       2  0.745809           access\n",
       "807       5  0.603514    actualisation\n",
       "729       2  0.898498               ad\n",
       "660       1  0.941803          amazing\n",
       "845       5  0.603460          analyse\n",
       "34        3  0.291527      application\n",
       "34        6  0.583053      application\n",
       "34        7  0.291527      application\n",
       "878       4  0.590461       appreciate\n",
       "731       2  0.564967             area\n",
       "390       1  0.892757  asking_question\n",
       "245       4  0.894927            asset\n",
       "444       5  0.954828        attention\n",
       "38        1  0.352092          attract\n",
       "38        4  0.176046          attract\n",
       "38        6  0.352092          attract\n",
       "470       3  0.751067          awesome\n",
       "950       7  0.681873         backbone\n",
       "813       3  0.610059          balance\n",
       "66        7  0.530526            basic\n",
       "254       1  0.230810          believe\n",
       "254       4  0.230810          believe\n",
       "...     ...       ...              ...\n",
       "149       1  0.234443              way\n",
       "149       3  0.234443              way\n",
       "149       4  0.117222              way\n",
       "149       5  0.117222              way\n",
       "149       6  0.234443              way\n",
       "868       7  0.893134   way_electronic\n",
       "263       2  0.898496           wealth\n",
       "542       5  0.415520              web\n",
       "542       7  0.415520              web\n",
       "673       7  0.752283       whitepaper\n",
       "1022      6  0.642820             wich\n",
       "68        1  0.227059             work\n",
       "68        2  0.113530             work\n",
       "68        3  0.170294             work\n",
       "68        4  0.340589             work\n",
       "68        5  0.056765             work\n",
       "68        6  0.056765             work\n",
       "68        7  0.056765             work\n",
       "86        2  0.050203            world\n",
       "86        3  0.351418            world\n",
       "86        4  0.351418            world\n",
       "86        5  0.100405            world\n",
       "86        6  0.150608            world\n",
       "86        7  0.050203            world\n",
       "261       2  0.904422     world_better\n",
       "36        1  0.308592   world_computer\n",
       "36        7  0.617185   world_computer\n",
       "534       2  0.291085            worth\n",
       "534       6  0.582169            worth\n",
       "781       1  0.892738            write\n",
       "\n",
       "[482 rows x 3 columns], R=30, lambda_step=0.01, plot_opts={'xlab': 'PC1', 'ylab': 'PC2'}, topic_order=[1, 7, 4, 2, 5, 3