nlp_explore_lesson.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# NLP EDA\n",
    "\n",
    "Basically, exploration and modeling boil down to a single question:\n",
    "\n",
    "How do we quantify our data/text\n",
    "\n",
    "In this lesson, we'll explore answers to this question that will aid in visualization.\n",
    "\n",
    "- word frequency (by label)\n",
    "- ngrams\n",
    "- word cloud\n",
    "- sentiment analysis\n",
    "- other common features"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup\n",
    "\n",
    "Data is spam/ham text messages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import nltk\n",
    "import unicodedata\n",
    "import re"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rc('figure', figsize=(13, 7))\n",
    "plt.style.use('seaborn-darkgrid')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def clean(text):\n",
    "    '''Simplified text cleaning function'''\n",
    "    text = text.lower()\n",
    "    text = unicodedata.normalize('NFKD', text).encode('ascii', 'ignore').decode('utf-8', 'ignore')\n",
    "    return re.sub(r\"[^a-z0-9\\s]\", '', text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ham</td>\n",
       "      <td>Go until jurong point, crazy.. Available only ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ham</td>\n",
       "      <td>Ok lar... Joking wif u oni...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>spam</td>\n",
       "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ham</td>\n",
       "      <td>U dun say so early hor... U c already then say...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ham</td>\n",
       "      <td>Nah I don't think he goes to usf, he lives aro...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   label                                               text\n",
       "id                                                         \n",
       "0    ham  Go until jurong point, crazy.. Available only ...\n",
       "1    ham                      Ok lar... Joking wif u oni...\n",
       "2   spam  Free entry in 2 a wkly comp to win FA Cup fina...\n",
       "3    ham  U dun say so early hor... U c already then say...\n",
       "4    ham  Nah I don't think he goes to usf, he lives aro..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#acquire data from spam_db\n",
    "\n",
    "from env import user, password, host\n",
    "\n",
    "def get_db_url(database, host=host, user=user, password=password):\n",
    "    return f'mysql+pymysql://{user}:{password}@{host}/{database}'\n",
    "\n",
    "\n",
    "url = get_db_url(\"spam_db\")\n",
    "sql = \"SELECT * FROM spam\"\n",
    "\n",
    "df = pd.read_sql(sql, url, index_col=\"id\")\n",
    "df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# pd.set_option('display.max_colwidth', -1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method IndexOpsMixin.value_counts of id\n",
       "0        ham\n",
       "1        ham\n",
       "2       spam\n",
       "3        ham\n",
       "4        ham\n",
       "        ... \n",
       "5567    spam\n",
       "5568     ham\n",
       "5569     ham\n",
       "5570     ham\n",
       "5571     ham\n",
       "Name: label, Length: 5572, dtype: object>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# how many spam and ham observations do we have?\n",
    "\n",
    "df.label.value_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# combine all messages in single string by label\n",
    "\n",
    "ham_words = clean(' '.join(df[df.label == 'ham'].text))\n",
    "spam_words = clean(' '.join(df[df.label == 'spam'].text))\n",
    "all_words = clean(' '.join(df.text))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploration\n",
    "\n",
    "Represent text as word frequencies."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "ham_freq = pd.Series(ham_words.split()).value_counts()\n",
    "spam_freq = pd.Series(spam_words.split()).value_counts()\n",
    "all_freq = pd.Series(all_words.split()).value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "to      686\n",
       "a       376\n",
       "call    347\n",
       "you     287\n",
       "your    263\n",
       "free    216\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spam_freq.head(6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ham</th>\n",
       "      <th>spam</th>\n",
       "      <th>all</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>i</th>\n",
       "      <td>2305</td>\n",
       "      <td>45</td>\n",
       "      <td>2350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>you</th>\n",
       "      <td>1837</td>\n",
       "      <td>287</td>\n",
       "      <td>2124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>to</th>\n",
       "      <td>1554</td>\n",
       "      <td>686</td>\n",
       "      <td>2240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>the</th>\n",
       "      <td>1118</td>\n",
       "      <td>204</td>\n",
       "      <td>1322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a</th>\n",
       "      <td>1055</td>\n",
       "      <td>376</td>\n",
       "      <td>1431</td>\n",
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      "text/plain": [
       "      ham  spam   all\n",
       "i    2305    45  2350\n",
       "you  1837   287  2124\n",
       "to   1554   686  2240\n",
       "the  1118   204  1322\n",
       "a    1055   376  1431"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# concat all frequencies together into a dataframe\n",
    "\n",
    "word_counts = pd.concat([ham_freq, spam_freq, all_freq], axis=1).fillna(0).astype(int)\n",
    "word_counts.columns = ['ham', 'spam', 'all']\n",
    "word_counts.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- What are the most frequently occuring words?\n",
    "- Are there any words that uniquely identify a spam or ham message? I.e. words present in one type of message but not the other?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ham</th>\n",
       "      <th>spam</th>\n",
       "      <th>all</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>i</th>\n",
       "      <td>2305</td>\n",
       "      <td>45</td>\n",
       "      <td>2350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>to</th>\n",
       "      <td>1554</td>\n",
       "      <td>686</td>\n",
       "      <td>2240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>you</th>\n",
       "      <td>1837</td>\n",
       "      <td>287</td>\n",
       "      <td>2124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a</th>\n",
       "      <td>1055</td>\n",
       "      <td>376</td>\n",
       "      <td>1431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>the</th>\n",
       "      <td>1118</td>\n",
       "      <td>204</td>\n",
       "      <td>1322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>u</th>\n",
       "      <td>986</td>\n",
       "      <td>147</td>\n",
       "      <td>1133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>and</th>\n",
       "      <td>848</td>\n",
       "      <td>122</td>\n",
       "      <td>970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>is</th>\n",
       "      <td>728</td>\n",
       "      <td>158</td>\n",
       "      <td>886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>in</th>\n",
       "      <td>811</td>\n",
       "      <td>73</td>\n",
       "      <td>884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>me</th>\n",
       "      <td>756</td>\n",
       "      <td>30</td>\n",
       "      <td>786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>my</th>\n",
       "      <td>743</td>\n",
       "      <td>10</td>\n",
       "      <td>753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>for</th>\n",
       "      <td>501</td>\n",
       "      <td>203</td>\n",
       "      <td>704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>your</th>\n",
       "      <td>414</td>\n",
       "      <td>263</td>\n",
       "      <td>677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>of</th>\n",
       "      <td>524</td>\n",
       "      <td>95</td>\n",
       "      <td>619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>it</th>\n",
       "      <td>590</td>\n",
       "      <td>28</td>\n",
       "      <td>618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>call</th>\n",
       "      <td>229</td>\n",
       "      <td>347</td>\n",
       "      <td>576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>have</th>\n",
       "      <td>438</td>\n",
       "      <td>135</td>\n",
       "      <td>573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>on</th>\n",
       "      <td>391</td>\n",
       "      <td>144</td>\n",
       "      <td>535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>that</th>\n",
       "      <td>486</td>\n",
       "      <td>26</td>\n",
       "      <td>512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>are</th>\n",
       "      <td>409</td>\n",
       "      <td>80</td>\n",
       "      <td>489</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       ham  spam   all\n",
       "i     2305    45  2350\n",
       "to    1554   686  2240\n",
       "you   1837   287  2124\n",
       "a     1055   376  1431\n",
       "the   1118   204  1322\n",
       "u      986   147  1133\n",
       "and    848   122   970\n",
       "is     728   158   886\n",
       "in     811    73   884\n",
       "me     756    30   786\n",
       "my     743    10   753\n",
       "for    501   203   704\n",
       "your   414   263   677\n",
       "of     524    95   619\n",
       "it     590    28   618\n",
       "call   229   347   576\n",
       "have   438   135   573\n",
       "on     391   144   535\n",
       "that   486    26   512\n",
       "are    409    80   489"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sort by 'all'\n",
    "\n",
    "word_counts.sort_values('all', ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ham</th>\n",
       "      <th>spam</th>\n",
       "      <th>all</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ltgt</th>\n",
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       "      <td>276</td>\n",
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       "    <tr>\n",
       "      <th>he</th>\n",
       "      <td>184</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>lor</th>\n",
       "      <td>160</td>\n",
       "      <td>0</td>\n",
       "      <td>160</td>\n",
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       "    <tr>\n",
       "      <th>later</th>\n",
       "      <td>134</td>\n",
       "      <td>0</td>\n",
       "      <td>134</td>\n",
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       "    <tr>\n",
       "      <th>da</th>\n",
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       "      <th>she</th>\n",
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       "    <tr>\n",
       "      <th>thats</th>\n",
       "      <td>94</td>\n",
       "      <td>0</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>say</th>\n",
       "      <td>91</td>\n",
       "      <td>0</td>\n",
       "      <td>91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ask</th>\n",
       "      <td>88</td>\n",
       "      <td>0</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>said</th>\n",
       "      <td>86</td>\n",
       "      <td>0</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>doing</th>\n",
       "      <td>85</td>\n",
       "      <td>0</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>amp</th>\n",
       "      <td>82</td>\n",
       "      <td>0</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>didnt</th>\n",
       "      <td>79</td>\n",
       "      <td>0</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>morning</th>\n",
       "      <td>77</td>\n",
       "      <td>0</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cos</th>\n",
       "      <td>76</td>\n",
       "      <td>0</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>anything</th>\n",
       "      <td>73</td>\n",
       "      <td>0</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lol</th>\n",
       "      <td>73</td>\n",
       "      <td>0</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>k</th>\n",
       "      <td>71</td>\n",
       "      <td>0</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sure</th>\n",
       "      <td>71</td>\n",
       "      <td>0</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>let</th>\n",
       "      <td>70</td>\n",
       "      <td>0</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "          ham  spam  all\n",
       "ltgt      276     0  276\n",
       "he        184     0  184\n",
       "lor       160     0  160\n",
       "later     134     0  134\n",
       "da        131     0  131\n",
       "she       130     0  130\n",
       "thats      94     0   94\n",
       "say        91     0   91\n",
       "ask        88     0   88\n",
       "said       86     0   86\n",
       "doing      85     0   85\n",
       "amp        82     0   82\n",
       "didnt      79     0   79\n",
       "morning    77     0   77\n",
       "cos        76     0   76\n",
       "anything   73     0   73\n",
       "lol        73     0   73\n",
       "k          71     0   71\n",
       "sure       71     0   71\n",
       "let        70     0   70"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "word_counts.sort_values(['spam', 'ham'], ascending=[True, False]).head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualization\n",
    "\n",
    "- ham vs spam count for 20 most common words\n",
    "- ham vs spam proportion for 20 most common words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Ham vs Spam count for the top 20 most frequent words')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rc('font', size=18)\n",
    "\n",
    "plt.title('Ham vs Spam count for the top 20 most frequent words')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '% of spam vs ham for the most common 20 words')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 9))\n",
    "plt.rc('font', size=16)\n",
    "\n",
    "\n",
    "plt.title('% of spam vs ham for the most common 20 words')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## n-grams\n",
    "\n",
    "**bigram**: combinations of 2 words\n",
    "\n",
    "Represent text as combinations of 2 words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "sentence = 'Today is tuesday, and the weather is nice.'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<generator object bigrams at 0x7ffdf4de93c0>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nltk.bigrams(sentence.split())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Be Careful!** Make sure you are making bigrams out of *words*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Don't do this!\n",
    "# list(nltk.bigrams(sentence))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- what are the most common bigrams? spam bigrams? ham bigrams?\n",
    "- visualize 20 most common bigrams, most common ham bigrams\n",
    "- ngrams\n",
    "\n",
    "Find the most common bigram and then find a representative text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Top 10 most common spam bigrams')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.Series(nltk.bigrams(spam_words.split())).value_counts().head(10).plot.barh()\n",
    "plt.title('Top 10 most common spam bigrams')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Word Cloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.5, 799.5, 599.5, -0.5)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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KcLl0nnv+EF1dY9i2TXt7FS6nzvMvHqF/IDbnucGgm7Wr6mmoLyEQ8BCLpenpGeczn7yL2tpiuwuNqyYJBdvit19/kRe7Z+YEf3r5Gn5r0z3TJrlzQSnbB3p5tvMUr/Z2MppJczmSowmF5lCEBxpbeLx1CYvDpbOCWWxpMpI7TUfyDeo9axnJnWZJ4D4c6pVPsOeCbM5ORnmhu4NXejs5OjZCzpqdL38hBODWdNZVVrO1vplHm9so9xRNY1c6iEzms7zn218hns/N2P5g0yL+5v7Hr3hiSxl5fv3V59nW2zlrn0NV+eMtD/G+1vYr7tep6DiffPZbTOayM7b/1qYtfH7V+itqYy6cS099dsdxvv3KYU73js77HAjgjhVN/OHPv2dWzIeUkp3Hevj2K4fYc6KXTG42OQL45raD1JQF+fz7bufBDW3o2k+2mVgCv/bFpznZM8JDG5fwX57cyt98Zzs/3HGczBypn//24j7ed/dyPv++2/G6HPM+P/mCyct7TvOl53bTPRid9Zt+9/UjNFWV8ImH1/HoHUtRhJhuyyiY/MKffIv+sUkev3MZv/Gp+2f8TtFEmv/8l9/nePcwiqLwSx/czJMPrp3Rl46BCX7ti99jPJ7m15/cygfuXXXd9+pChNwuPrZuJXAl7/ZPNoEI+9xURwKc7B9lYHyS1upSktk8e870UR7yTotwZfIGI7EUEb+HsH8m8fK7nVSG/XQOR5lMZX9sSULBtLCn5kdbShwODWkzncljWTaaqqAIUcyqK1jkpsY6VVXQHdo0CZMSFEWZStWW0/PaQuKanOty6r8L0RGLYlgWDlVFSklfMs7fHdzN811niF406VwKprQ5HRunY3KC7545zudW3MYH25bNsFIIFLxqBJ9Wgq64afJtwquXXKblC/ovJUOpJP9+8gjfOXOcwVQC6wpvrgQyZoE3+nvYOdjPv588wieXreGxlrY5LSlzwas7aAyGOTg6NGP7SDpJLJ+l1H1l/riJXJbOeGzOCTdvWZyMjvOYlGhXSBLOxqJkzcKM9gSwrLT8is6fD+mcwT//YBff2naIbL6AEFAS8BLyuXA6NKSETM5gMpUlmc6ztKliXgGjick02w93IaWkJOAhHPBQGvLicTqIp7P0j8YZjSYZGIvzp//2CiGfmztXzr1a/0mCnIoiP9M3xp9941Ve2HkSj0unvaqCspAXKWFgLM7A2CTpnMG3th3C53Hy6Uc24NBnk6yCafGNHx3gX36wi3TOwOPSqSkLTVlvBMPRJINjCToHJ/jzb7xGPJ3jQ/euxukoDjmaotBaV0rf6CSD4wlSmTzhwHmSPzieYCSWRMrioNnRN0a+YOJynH8u+kcnSWXyCKCt/vqe0blwpeQ6EPHxq3/7OUb7xklMpIiPJ0lEUyTGk8QnkiQmkmQSOQpGgULexDRMClP/mXmTglHAMt/d5nWnrvG5hzbwu//6Ar/6/56hpjRIMpsnkzf43IMbqC0NIoRAyqIVSRFizjgbRRHYtpxlzbwUyutK+I0v/QLjA1HiU/c9MZEkPjH1dzRJJpk7f9/zU/feKEx/tt9G98bAQIwdb3WQyRjUVodpbi6nrMzPK6+eQFVVvF4njQ2lhMMedu7qxOFUmYxnps+fcdcErFxRx4+2HWNJWxXdPePcvXlh48oWLAKvMx6lYFtIKTkZHeMPdrzCzsG+a27PlpLBVJI/3vU6Z2IT/PbtW/DpjikGpeDTy4g4G4kZfUgkfr0MVb28ad2Wkv3Dg/zJnjfYNdR/zf2DolXlZHSc39/+MruH+vi19XdR5w9ednDRhEJ7pGwWSYhms4xm0ldEEqSUjKZT9Cfj8x5zdGyEgm2hXYFlQkpJZ7xI9C5EidtDte/aRYBsW/Ls9uM89fJBcoaJ26nz+F3LeHDjEpqqIvg8TmxbMhFP0z0U5WjnEA9vWjLnPRRCsG5JHQ9vaqepOsKq1mpaakrxuovPhWXZnOkf44vffJ09J/pIZvI8te0gm5Y1zJsR8pOGzsEJugajtNSU8Pn33c7GZQ14XI6iGzGe4buvHeaff7ALw7R4+vWjPLxxCXUVMyOlz1l0vvLDPaRzBpURP5977ybuXbeIwJTJP5U12HWsh7/+1hv0j8X5lx/sor48zObVzUXzsiJoqy/nlX0dDE0kSGXPkwQpJf2jk8QSGfweJznD5EzfGDnjPEmwp47JGgUiAc+MtNO3G6qm0tBeQ0N7zZz7pZSYBYtsKkcmkSWTzJJJ5sgmz/+dSWRJxtKkJtMkY2liI5Oc3tdFNpWbs81LQQK2tFHeZrGT+rJQMf3c62ZVSzUep4PF1aUsri2bdsu6HBpBr4uxeIpM3kBKOf2u5wsW8XQOn9txVSJ1ulOneWU9zSvr59wvpaRgmGSTuan7nSWbzJFOZMmmsmQSU/d/Mk0yliI1mWG8P8qZA10Y81grrweNDaWoqsDrdbD13vW4XTof+sB69h/oxrYlH/vIJlwunQ8+sZ6Dh3rx+1186sk7iES8PPTAcoLBYhDwvfe0U17mp642wq5dZzFNm098/A7qahc2fmbBSMJYJs1YJk0sl+W/vvoCR8ZHFqRdw7b49umjeHSdX1t/J169+PDY0mQsd5ZW/10IoaAr80dPn0PBtni55yy/9+Y2RjILFwRWsG2e6ThFZzzG/7jrAVaUVVwyVkFVFJaWlk9Fr5/HRC7DaDpNe0Re0Srm0NgwBXt+BnxiYpRsoYBbuzx5ypom3fHJWQy+JRTB77jy6PGLMRpL8tXn95IzTJwOjV944k6euGfltC8SQFEFFRE/5WEft7XXXfLeVZT4+a+f2Iquq7PcMqqq0FZfzs+9/056h3/ASCxFz3CM4WiSmrLgNX+HHydICUG/i9/89AMsa66cvtdCCEpDXp58aB1Hzg7x1tFuRqJJTvWOziIJiXSOf/3hHhLpHE5d4z99ZAv3rmud8Xv4PU623rYIt1PjD/75RWKJDP/0g12saavF7yla3FpqSnFoKqOxJPFUjtry4nNv2ZJjXcMAbFreyOGOQbqHo8RTWUK+4ntuFEy6h6JICa21Zbgc79xELSEEukNDj/gIRObWWZBSYlt28T9bMto7zh9+6q/pPDy3euelYNoFXh59mgcq3n+9Xb8qvHm8mxO9o/zNL76fpfUVc45hTl1j/aJadhzv5nDXEA3lxWdLSknXyAQn+0ZZ1lBJRWjh9CiEEDicOg6nTrB0bheGtCW2bU//Bl3H+vmjT/81w11jC9aPc9AdGnfevgiv9/y4Ggl7uX/rshnHVVYEefjBFTO2bbitefrvtasbpv++9572Be/nOSzYm2VJyZ7hAXYP9XNkfGSWydqlaYSdblrCJZR7vLg0jbRhMJ7NcCo2TiKfI3/RKvYcCrbNv588zLqKah5tXjz18AnyVpLh3Ek04cDlCVzSkmBLyau9XfzB9lfmJQjFfuqUuj20hiOUub04VJWcaTKSSXN2coJYLkvONGeZ+G0kR8dG+I3XX+TP732EtkjpvBO9IgT1gSB+h5OEkZ/eni4UGEhdeZGY/SODl9yfMPKcnYxeUTBkumDQm5ictb0pGMbnuLagUCklr+7vYDxeLLyyYWk9j96xFMc8KaRCCNTLkCNFCFyXqKUghGBxfRlVpUFGYinyRoF4KnuLJFyAu1c3s6ShfE4y5nLqbFrewFtHuwHoHpodQHWmf5yjnUUr2MrWajYtb5gzjkYRgtuW1LOurZaX9pyme2iC3cd72LpuEUIIysM+wgEPI9EkPcMxljUXU3gt2+ZY1zC6prF5VTM9Q1FGY0lO947RUFlcJRmFYl0WgJaaknmfqeuFlJJ8tugiKxQsVFXB6XZMmcVt8tkClmWjKAKX24FQBAXDxLYllmnjcGrk8wXcbgeqpiJtST5XoFCw0B0qTte5ID+BqqmoU3EZTo/zurRK8laWsfwwY/khglqYM6ljSCRt/pU4FSfHEwfQFJ0mbxtpM0m8EKXKVUesMM7SwNprumbE7yZvmvzxt16lLOhFUNSVaasp4+F1bZSHfAghuG/1In647xT/9OJuLClprytnbDLNV1/dTzpn8KHNK6+4XspCQSgCVbnw/t+YujyBgJsn3rcOp/OdS2ovxoL11JaSP9+7nUQ+P2MCDbvcPNDYwntb2llVXolT1S4YnCS2LE5Qbw328rXjh9k91Dfn6jhdKPAPh/dwZ00DIZcLRWgsDtwLSHJWktlREuchgePjo/zBjm0MpZNzHlPm9vJQUyvvbW1naUk5TnVmZLctJXnL5NDoMD84e5IXuztmxVpIiqv3393+Mn927yPU+OYXBanxBShxe2aQBIBT0TGsK4gjSBoGJydmslynqmFY5wmMJSUHR4dYX1V7ybaK7eXpuYgkaIrConAJjktmmcyPvGFy+OwQpmXj0FS2rls0Q5fiRsGpawR9xWwMy5YYhbnJ508idE1lfXsD2jzuF0ExXkRViiv6ZHq2uXvviT4Kpo0QsGl5wyVNww5d447ljWzbd4ZMrsDhjkG2rGlBU1UqIn7KQl5GoklO943xKMXV0GQiS89QFKeusry5kuaaEk73jXG4Y5AHNhT9rdl8gZ7hGLqm0FxdMu/3uV6kkzn+4ne+gz/kwcgVyGUNPvL5e1i0vIbJiRRf+5ttZNMG6WSWRz+ygds2t/H0195iuC/KSH+MxStq6TgxyH2Pr+HuR1Zw+lg/z/zbTkzDQndqfOTzW6i9ARHpY/lh9kXf5J7y99CTPoNTdVLjbqI304EtbRq9i0kUYpxNnUAXOr3ZTmxpX7MeRzKbp3MoSn1ZCKemYZgWSJhMZ9lxvIfXj3byf37mMcI+D2Gfm9/7+AP884t7+LvndpJI53A5NBZVl/L7n3iQ1c3VC3w33jlwOnXal1Td7G5cFRaUzoxnZwZXtJeU8esb72ZjVS0uVZt3wnSobh5pWsyGqjr+/uBuvnz0AIY9e2A/E4uyfaCHBxrrsSlgy2Iho3hhkJCjBqc620QlpSSay/IX+3YwkJy9SleEYEVpBb+5aQury6tmkYOZ/VS5q7aB2yqreaR5MX+6ZztHxoZn0ZN9wwP83cE9/Lfb78GlzX2Lq31+St0euuIzV2pnYhNXFLRzJjY+g2DoisLm2gb2DA9MZ03YUnJsYhTTti8blzCUThG7iPS4VI1F4bktIpYsYNk5VOHAkgV0xTvruEQmz9B4MWbCoau0N8xtgrxWWJZNbir1yrJsLNueknktZlOcx9tQZONdAp/bQWlo9m91DufiBYr7JebFtRak5ExfkZy6HDo1ZcEZUruz24OW2lIUIbCRdA9FyeZN/B6VkM9NZUmAo53DdPSfJ7wnekYwChZVpV4qIn7aGyt4fudJOvrHyRkFXA6dwfE46axB0OeiriJ8Q9MTh/qi3HH/MtbfvZiXnj7AzldO0LK0WP/kwz+zBY/Pxe7XTvLGC0e5bXMb6USOliVVVNWVMDY0yXs+spH9289w+31LeeZrO7nt7sWsu3MRrz57iBe+vZdP/acH0ecIDr0eeDU/Hs3LWH4QRSh41QD6VJq4JnRyVoa8ncOvBRnJDVDhrGEw28u68J1XfS3Ltnluz0m+9sp+fvPDW1nZVFXMVJmq3fG9ncf46rb9HOka5u4VxZiUhvIwv/7BexicSJDJG+iaSnnIR4nf82OZaiqljWmPY0sDh1oz6zvado6CPQZy5rynKD40pWTG8VJKLDuOJYsWcVXxo4obp1J5w2wey0rL+fOt76E1NHeNgYshhKDE7eE/rrudiWyG73WcmDVZpgsGbwx0c1dtGYgcXemdlDqbSZnj2HL+1eJznad5pbdzzqliXUU1//ueh2kMhK74JjtVjbtrG6nzB/mVbc9yeGxm/IUlJd8+fZT7Gpq5p65pznbdmk5zKMKe4ZnlTc9Ons8SmQ/F4NBxUsb5+gIOVePhpsV0TE7MSK3sTcSJZjOUey/t4zs5MTst0aVptEVK5zw+b03SnXwBTXER0BuocK/j4jQwo2CSmqqBoCoK5ZHrT2k6RwD2nernwOl+OvsnGI4mSWZyZPJFM65hmhTe5dHiNwoOTcXtuHZTrmVLElPWBaeuXpFlKBLwcO4ViKdymFNuRUVRWFxXxst7TzM0Xgxe9LmdHOsapmDZtNaWoqoK7Y0VRTW5yRTDE0kaqyKc7h1DSonP46S+InTN3+dKECrxsWhZDb6Am7qmMt56+XgxXU1K+rvG6e8eo69zjEQsM52CVlEbITaWRNMUwqU+CoaJZVp0HB/A63cx2DPB+HCcseE4pmEuKElQhMqq0EYaPYvoyXQQ0kvw6yG8qp9adxMBPUxH6jia0FjsX4FDcVLhqqEv00mZ6+pXuQXLZs/pPjwuB3cvb5phppfSQUNZGEURZAszgwC9LgeLauYeX35cUHweJMn8Dvqjv4stsyyrfhOY+XunjL10j/8Spj1z0RjxfpCGyB9zbqqWUpI29jA0+edkjMNIwOdcR1XwV/E4Vt8QonBDSEK5x8tvbbrnignCOQjApzv42dUb2D7QO2fswIGRISzpJuwIsyz4MIadIeKox6vNnQI5mknz1eMH50xxrPL5+Z077r0qggDnU6OagmF+e9M9/NorP6T/oliCrGnyL0f2s6qscs6YACEEK8oq+ObJIzMm55Rh0JeM014yvwmyYFucmBidYW1xaxp31zXw7ycP0x2fnN4+mEowkkldliQcnxidte2cS2QuuNQIDsXHpHGWJv+jiDkiqS3bxpjS+1cUMUMy+1ogpeRkzyj/9MxO9p/qJ5XNIxD4PE48Lp2Ax4WmKqiqwuBYnHTu2io5/jij6Hu99oGkYFrTlRyFUNCuQKq4GC9wLoLdnM4HFwLaG4tBvpl8gYGxOHXlIToHJpBSsry5qlgaOuynIuxnIp5mYCxOQ2WYM/1jSIq1XCKBGyvhq2kKinrBSm7q/59/ag89Z0fZ+vhqfAE3E6NTY4BgmhTNsLIIgT/ooWlxJRU1YVgFvqAbxwL731Wh0OYv6jss9s8MfPPrxdicteE7prctCRT1JcKOa5uwFSEIel0kM3mO9oywuKYUXVPJF0xGJlP8cO9JXLrOouofb0IwFyQG0fT3GE78FbadRYi5p1zLToHQqA3/Pi7tvGy+rlZwjlBIKcmb3fRFfx9V8dNY+kUARhJ/T2/0t2gp+0cc2twZNteDBScJihD81KKl3FY526RyJRBCsChcwsbqWr7fcXLW/u74JCkjT9Cp0Z3ajUP1krdStPoDaMpM36gtJS/3nKU7Pjv4SlcUnmxfxdKSsmtmX0IIbqus4QNty/jivrdmrcT3DPezb2SQ+xvmLlu7vLRiKnf4/JmmtOmITVySJKQLBU5Gx2dsawiECDvdtEVKZ1gnxjJpBpKJ6WvNhYJlcSYWnbV9WencwW0AaXMYU+Yoc61kNLuPas+ds4iCqijTAjm2XbQAOK8xCl1KyeB4gj/68o840TNazI1vKOfhTUtori6lJOjB63bi1DUcuspv/92z7DzWUzz3mq74Y4zrWGw4dHXa/29L+yK3ztwoFoYq/gouhzaDpDRVl+B0aOTyBYbGE/jcTgbG4kUfdV3xHfC5nTRWRdh5rIe+kRi5tlr6RiaB4jNwKXfHjcRQf5SS8gD+oJu3Xh6mYFxaiE13qKxY38T4SIIlq+tJJ7LFSrPqzen/QkFXFR5dv4Tdp/r4b195nqX1FbgdGqmcQddwlGgqy88+spGmip88aetk9g2G4n9KyP0QAJPZH806RkqJbaeKyqKuu3HpLbOOmW4v9wZ5s5NF5d/E6ywSQU0Jc2b0k8Rzr1Dm+8RUmwWKL7oKmFPqvgKBOueC7lJY8GifsNPNR5esuK5iKALYXNs45z7DMulPJoq5xzJPpasNRWhYcvaqMV0weLG7Y86siSpfgA8sXoZ2jUF556AqCh9esoJK72xTetY0+e6Z4/PGGFR5/dNqjedg2jZnYuOXnNji+RynLyIJy0qLK7JV5TPNhZaUHL4o2+RiDKaSs+IRAFaWVc47n3i1CloD76fOdy8V7g3MNfM4dHW6+I5l24xOXnvaqWXbfOfVQ5zqHUMAW9a28ie/9F4+9sA6bl/RyOL6cmrKgpSGvEUT+Lt73H3HQhGCkqmVe94wiV9BHv9Y7LyefMjnnmF98LocNFaWkDUKDI7HmUhkGJqIU1kSoCLiRwiBz+2gecosfap3lJFokslU8Xld3jS7qNlCQtVUlqyqx+0uLkBCJT5alhQtHI99bBOpRJbnvrmb5bc1seb2VoQQ1DeXE4z4KKsKUVkXwRdw07ykClVVeP+n76Kk3M/3v/YWO189MW1VeTdDCMGa5mr+6ud/ivfdvgxFESSzebwuB/es1fjbX36ID9y58mZ385KQU/9baHicq6gJ/QbVof+CmLd0QDHGABQ09dKigIncG7i0Flz6eYE4p9aIx9FOIvva9IKzN/rb9MV+l3j2h3SMfopjg5s5PfIBJtLfxLLTV/UdFtySsL6qhjr/9aebNQXDuDV9zroE49kMitAodTbRldpJQK/Erc6+5ng2w96LfP7nsLm2gcrLmOCvFKVuD/fWN/FvJw7P2rd3eICRTGpOQSK3ptMaKmE4fX7ytKWkJxHHsEyc6tw/T0dsYlZWRHukGBzWXlKGJhRMed4nf3h0eFrlbC70JeOkLmrPo+s0heZn/orQUKZMZ8o8JjS/x0VVaYBjXcMYpsWJ7hGaqq7OBXUOqYzBsc6RooyppvKhrauoLJlbQCdnmGRuuRpuCIQQtDdV8NLe0+QNk77RGJZtzyslLiV09I9NE+WGqsiMFFZdV2mpLeF49zBDE0l87iiZXIHq0gBloSIZUVWF1toSHLrKmb4xxiZTJNN53E6d+qrZJXE7U6fozXSysWQLbtVDzsowmO2l0bv4qgWG3B4HH/u5e6c/ty6tpnVpMfq+ur6Ez//6o9P7Nt6zhKgxxj2PrZx1ner6EgYyPZzOH+Ou99/JIx/ecFX9eKdDURQaKsJ87sGZ3+vQ+P+k3LfyhmWfLASklGwb3cW95RtZaJe+rpYR8T6BlOasoMQLeoBpT2LZSfpj/wPbTqOpQQKue/C77kIR5wONDbMXp9aIuGDqFsKFrlaSN3uwZQZVeLFlilRuD7nCWcKeR1GVIInsKwxM/iEgKfF+9IrH4QX95QSwpa7pihT+4Fx9h9kBZkII3JqOT5+beaULBhKbSWMISxZImqOYMj/ruH3DA6QLsycLVQjurW+etf1a4VBUNlXX4Z4jkyFh5NkzNDdRcWsaiyOzmeNgKjGrrsOFuDjY0ac7aAgWB8sSl4fawEzCdDo2TtKYfX+g+Bv0JCZJXnSfqn1+ytzXF2nscmgsb65CUxWMgsUre8+Qys7dj8vBMC0SmeI9URRBfeX8BKZraIKR6K2KiTcK69vrcTt1JLD9cNclCVkuX2DHkaKSnMflYFVr9Qx3g66ptNYWM2hGokmOdg4hBLTWls6o3bG4vhy3Q6d/NE7/aJxkJkddRYigd3bhsSp3HRIbyzaLyqS5IaypATpRmORE4iBH4/uIGRPkrCynEkc5mThM3pr9zvVnuuhKneJU8gi2tBjM9nJkci+juSGShQQnEoc4Gt/HRH6UmDHOj4af5kh8LykzQcyY4Gh8P6eTRzFtk3JXNapQMeybT2BNO8dYZieWLKoejmZ2ULDTJIwzJIwO+lLPMZR+BVvOdqEY1iTj2X0MpJ5nMn+SgdSLFKwklp1jOP06vcnvkzS6zgftFc7Sm3yaWO4o8hIB5teDeCHFm2P7+dHwDjpTfdjSZjg7zraRXbw1cYiclUciGc/HeG10Dy+P7KQvM4xhF9g2uosfDr3B88NvsHPi0A2pf3BpCNx6OwHXnYCForjIFc7SPfEF+mP/HSmLz6XExJZZFMUDF5BQIVQU4UHKArY8bxG27BRVwV+h1PdJwp73URf5n7j1JYwm/2W6zSvBgpKEoNNFUzDMldKx0fwoZ1Idc+5zKMq86YMFyyqmlMgciwNbUYWTZGEM0545AR0anZ2eCFDu8VF/BfLJVwohBK2hEkLO2aqPedPk2MTonC4HTVFoCUXQLyJVQ+kkk7m5f0TDsjg8NjxjW7nHS5mnyDa9uoOW4MzVVaZQ4NRF7olzMG2b7nhsVqrbpYIWrxRCCLbetmi6NvzO4z38YPtxckZh3hdRSjnlw54JTVXwuM5L8o5F59a7SGcNvv/GMcZi50nCLc/DwqK+IsztyxsRwMmeEV7ac2bO2ATbtnnzSCcHThdJbXN1hPXt9TPeO0UI6irCeF0ORmMpTvaMoCoKy5qqZhzXUBkm4HVhmBaHzgyQM0zqK8LT7qwLUcz1v/AaKt3pDiQ2o7lBetJnUVA4lTzMmeQxxvJDDOX66M6cmfVcnkoeIWNliDjKyFgZ9sd2oAiVA5M7Gcr10pk6ia44OZE8hK4Uq8JGHGXowoEAHIqDY/H9ZKyiz/ladQgWGqadojf5fSw7B9j0JL9DwYozktlOZ/zfcCgBFOFEzDFFZM1RuhPfJGl00xn/Ggmjg9HsDvpSzxLLH0UVLjriXyZvFVP+4vmTaMLD2fhXyZhDsztznchaOb7V9wKThSRhRxBT2sSMBN8ZeAld0RjJjfP88JtkzRzPDr2OJW0Cupe8baCgUOYM41QdNHlrqXYtfA2Qy0EIhZDnQRpK/pz6yB9TH/ljmkr/mlLfx4llniWR31487txzPWvslIA9dcT558uh1eHU6hFCKaY2Czd+1x0UrGEM69JCfBdiQd0NEZeHUrfnil8DgULMiBEzJlGFil/znS/iJMS85nFJUb7VlhYdyTfIW6kpgiAocxUtBAXL4uzk7GA8gBq/n9AFpY+vljnORS7qphQULxZrkkBPPEa6YMySNxZC0ByM4NOdxPLnGeBouihvfaGu+TkMpBIz3BMA5V7fdGyDV9dpCZfw8gWVIfOWyfGJUTZW1c5qz7AsOiYnZvYLaAiEr0uO+Rwqwn4+9uBa/ubb28kbJn/7ne30Dsd4cGMbrbWleN1ObNsmlszSNzLJyZ4RCqbFpx+dabb0uR0sqi3j8JnBYnGhlw9QVRak5IKiQP2jk3zz5YM8/foRhCLAuoTAlpRYlk06Z5DJFcjmDTJTwXPnSErOKLD/dD+RgAe3U5/+z+d2zqoseY7cpLMG2XyBTK7479n+8elsgLFYin2n+vFc0JbHpeNxOd7RJa0vhsel88lHbuNo5xCjsRR/993tpLJ53nNHO2F/8fdIpPO8fqCDv/veDhLpHH6Pk888ugGve7Z1sLY8RMDrpG8kRt4wcWgqS5sqZhzj0DQW15fTPzbJW0e7EULQWBWZpcx34bt87i+fFkBX9GLFPKFS5qyk1FlJ1BgnbseYLEQpd1YR0Ga7LhRUqt11hB2lxIxxosYE5c4kte5GVKFR6qyk3FnJcLYPp+LGrXopc1aiKTqnJo8ikcQLsWlLhpwqjzfXu/1OgJQmEdcayt1FvYT5+ujSyqnw3MlQZhul7tuI5g6RME6zvOTXcKkVpAt9TOT2I4ROhXcLZa6NpAo9xPJH8eqXF3e7Ggxlx8lYOR6svAN9yvV5NH4Gt+rk9pJV5O0Cf3f234lHUjgVB/3ZYe7wrqHZW4siFOo9Vfg0D4v9jahvc72LcxBCQxXn3d9CKSPseYxY5hky+UOE3PcDKqrix5JJkPY0D5bSwrLTCOFAEefHQ0W4mTnFC1QlBNLGsudeZM2FBSUJAaeDoHO2+W8+KEJhKDfMeH4Cp+rkvvJ7r5hpK2isDL+XC2PXFXF+wJjM5+Y12Ze4vDOkhi1p8/3+/bhVB05VJ2akWBasZdf4WXKWwfvr1/NM/350RUMXKh9q2DAr4NGnOyh1ezg9Rxnw4UyKrFmYc9JtChVljy8kCYZdJDgbLlJKlEDXZIyJC0SrAOr8wem2lansEJeqTZe9Ltg2JyfGKdj2rIDSvGXScVFmg6ooLC0pm5ekXQ2EgPduXk40keGplw+SyRf49quHeXH3KTwuHV1Vsae0D87FEtzWXjeLJOiayqN3tPPmoU6Go0m27T3DqZ5RljSU49A1RmMpOgcniCUyrF5Uw/KWKr707O5L9u3F3af4m+9sx7ZtLFti2xLTsqZTJ6OJDL//j8+jKgrKVOqgqig8+dA6PvrATOnabL7A//3319l+uBPLllPt2eQL5rTi494TvRzrGkZVioJFiqIQ8Xv49U9sZWXru0dlTgjB0sZKfuUjW/jzf3+NsSmi8NS2g5QFvSiqwlgsxUQ8Tc4wCXhd/Mx7N7FpReOck051SYCw38PgeDGFsKW2lKDPfdE1YUVLFS/vPU00kcHl0GipKZnVnkRyMnGYifwIJxIHWRXawNHEPsbzI5xKHiagh/DpAXTFQUAPUeNu4Gh8PwlzEqcy+/0MOiJoSnFcCeoRVgbXMW6M4lTdeDU/eTuHJnSCehhFCBq8rbwx9gJrw3fiUb2M5ocod1WjC50zqaLV4nhCsCFyN071ysfKhYeYnmRsLGx5PvbLoRTdlZciMcWxVqDgQCCKPnfktK9cERq2LCAQKFMpfEJoN8TdYEsbVSjFdfRUtpgpLTRRFMY7t75Whcr7qu/lRLKT54ZeZ1mglfsqNi14fxYCQggQylQ2wvl5zaW3kckfxMZAofiO2DKDYfXh1BoQ4vwzZdspJBe6tiSmHQWhoipXXhBtQUmCS9WvqJjQOZQ4Itxbdg+WNAnogasyxQkh0MX8L1nSyM8Z9AgQcDhwahcGfggsadOXieJQVAK6GxtJidPH66MnyVoGWcvgU82b+Urnm4znk1S6Q7P6U+aZO187lsuSnydVrNzjo9Lro++iao6nY7PdA1JKOiYnZsQXKEKwZCpo8Vw/WkMluHV9miQAdMWjxPO5WX2M5nIMX2T90IRCe8nCmN2K0elOPv/e26krD/GtVw7R0T9OKpOfFuUpHlf8LpqmUlsemrOd5c1V/PKH7+bvv7udgbE4PcMxeoZj0/udusrmVc384gfvQiD43mtHcOjzK2jmDJNYMjNr+4VWgotdH4JiTv/FkLIoTRtLzc4SubDUcs4ocL7YerFm/JWkEV4tioOxRfEVF+iaikNXcerzK5+eg6oInLqGoljzBpwpiuDedYsI+tz84/ff4mjnMMMTCYamJnohimSzrb6MJx+6jQc2tM3bltOhsaiulDNTqosrWqrmPHZxfRk+txPDLBKP5jmEeBShsDq8kdXhjdPb7ip9YM7rhh3FeKAt5Q/Pey/Whm+/qO2Zk0qlq5iXfm77iuBtrAjeBkCJc2Yac7u+ivYpTYKbDUWo2LJAxuwnZ45RuMqI94uhKm78eisjmTcoca0hYZyhNXQX47ndjGf34tLKSBinKQtuvHxjV4kSZ4icledUsotqdzmmbVLhKuG1sb30Z0YZzU/g1714NBcj+QmavLXkLIPjibMAONUi0RnKjhLSA/j063OzXi2ktLFlBkW4OC+yZJLJH8CSSTyO5dPHBlx3M5l5lkz+MH5X0dqTNU6QK5yhzPepGe923uonX+jCodYAAltmSOZ24FCrcKhXvihZUJKgq+pVpT6O5cd5c3w7LtWFLjS2VtyLysIoj2XNwqyyx+fgdThRLiAkAoFHc5KzCqTNPLXeCPsmuqhwBXGrRYtDysxzMNZD3i7g0+cmJ/NZUdJGgcIcMtPFaxf1Ei4ORjw+MTaV2Xoe5+IRLjSiK0KwrHSmabY1XKzceGFaY+dklMl8tugOuuBBOhkdw7ooDSvgdNIcmm16vR44HRqP37Wce9ct4mTPKIc7BhmNJUlnjaIqnd9DQ0WY5a1V1JaF5m3n/tsWsWZxDW8e6uRU7xiJdA6HplJVGmB9ex3tjZW4HBpSwrf/6LMIwO2aOwD2sTuXct/6xcUP527BXPPnuR9i6l/XHMWEPC6d//aZB/ivn7hvZhsXnQtgG3uRdhzVuRVFCNyuhS9mI80zmNnvoHk+gVDr+OIXnsCyJIoi8FxGvGfz6ha+/yc/g5QzCc7F0FRl6p5XcLJ7hD0ne6fTHcvCPla0VLGqtQa/x3lZLYMvfOxefulDdwNFJceLSYIQgjWLa3n6f39uym0A3jniEW7hyqArfhr876c/9SwerY5q7/2oigufowmXdmnRI13xEdBbcahB/I5mHGoYn95IxLWa3uR36Uo8RY3vYXx6I2HnKlThpiv+FBXuuwg45tcAuFaEdD8fqH2Q18b2sGP8ILdFlrEq1MaDFXfw8shbeDQXT9Q8gC40ziR76Er349U8vKeq+Ly5FCcPVd7FD4feoMFbzYOVVy9NfT2wZY6eiS+gqxW49CUIoZA1ThDL/ICg+378rvPCV37XHfhdd9If+z0i3g+CEEyk/h2vYy0B99YZ7arCxWD8/xAunEJTIySyr5IrnKEm9FsIceXvzoKSBFVcvorfhTBsgyp3JWO5cVCuLi7AkiZHJ38wLce8JHA/bu18VH/BtrHmypygWIPhwolSABtKmjGljWGbBHQ3mYBBzEjz4YaNeDUnAd2NQ1F5T81qvOrcN9g5D0EybOuS9RiWl1XM2jaQTJAyDALO89cyLJOjF0lA+3UHLRelKvp0B62hyIyqjtFclt5EnNbQzGyKU9GxWfnBi8Ol11zUCeDQkT7OnB3m0QdX4rlAtldRBAGviw1L69mwdGbt99NnisGYrTXzV888Vy2vLOTj/VsunXctBATmiHy/sC2Hrs2qHihlDiv3ArY1hOrYhFBKsfI/QkoLzXUflrEbaYxTMByorq1ImcfOvw4igNvzARzyRaQ1hOJYi6K1YWafASSKow2h1mBlf4hUR1Fcy1H0Qaz8a8icA+l+P5bxJsgMUmbQ3B+eYWaUMouZ+XbRBKk2oeqLMbMvADlU51Zs8yzS6gEEmvsDCK0VodYDNtIexSWOo3rvwcpvQ2ElML9Yl66ps2IuLnUf/R4n65fWs/6i3/RqcC5G41LQVOWSv+mNhi3zWHYaRbhRhOsdGVNwpRBCpdxzB+WeO2Zsr/bed9lzPXo1Hr24EvXqdQAEHK0ALAp9dsaxjYEPAFDnf5QbBSEEDd5qPuV934ztS4MtLA3OJCUPVM78vufOXxNewprwkhvWRwBF8aIpES5eiSjCQcB9D7H095nM/ggB6FoNlYFfIux9LwLndD81tZTa0O8wkvx7JtLfBCR+1+2U+/8DmjJzbHdqLZT4Pkws/X1yZie6WkFt6LcJeR67qmd34WWZr+K9KXFE6Ex3EjfjrAquRLmKZAspbbJmnLCzDgUVRcwOJJtvWr64i0IIylwzfTRhh5caT3E1nTUN1oYbWRGqu2Se9XwEyb5EXwDaIqW4NI2ced60nTEL9CQmWXEBgRhIJRlMzXQNLC0txztHqujaimq2XRC8KClKWm+9IPXTsm1ORWcLNy0vK583kM62bbq6x6msCJLJGuQNE2lLunrGCAY8rFhWS3NTGadOD2GaNqlUjuHRBA11JXR2j1FfG+HUmWEyWYP2tipUReHYiUG6esZoaixj0SXu09sBaQ1gWyPo3p8GNKQ9hlAbsI3t2GY3yDxC+EAJYhcOYxdOovt+AYQXaXYh7Qk0zycoZL6EUCJIawDd9x9A+LFyL6Doi5GyHmnHMbPPIpQQ0urGtjqwzT5UxzpUfQUXa7sjLWxrAIf3c6CEsfIvI60+hBLEMnYh7Uk0591YhaPY5mkUffX0qUIpQ5qdSL2tSCSc97x9N/THBFJajCa/zkD8LynxPk59+LcQXFsJ9Vv4SYRKVfALVAV/hdkzkEqJ96OUeD88vWArut6Vqcl8ptXboTVQF/4fFDMaoJikqMwx8dsEXfdS4v1gMdh/us2brLh4NdAUjXXhtXyo9gM0eZsuf8IFEICuuNCEA1XRufjGa4oy76R9cbrf5eDWHGwqa72sEEt+HpeCrijzBgEKIQg5XbMEqPKmSU9iZhTk4bHhWdaRFaUVc7p4VpRVzPr+h8aGZhCCaC7LyEWZEppQWBwuvYRFSNDTN0FXzzi793WRzRooisDndbHttRMUTAtFiOks2MlElkNH+jAKJnv3d3OmY4TDR/tJJLLs3H2W/Qd7MAomTqeOeQN881cPHSggrWGQSWxjN9Iep/h82SAcCOFBCDcgQbiQ1kjxGOFCSgNpj0yljmmgBEG4AAWEE2lPgkwCAqEEEIof1bkZRW0opioppQgxd9yAUPygeKba8oLiR9HbUR3rKVoMJkCmiteTcZDx4jYkivN2zMzXUR13IsTCuPR+kiCxyZsDWHaCvNlfjC6/BQAsaWFJ8yboC7yzMd4/MeOepOM5jNzsrJaihVRBCA1F6ChCnxoDFOZadRePLwY0Fv+bP+6qeLx2UZtXh5tGEqSUjORGOZvqxKE4eGP8TWyu/MUTQqXM1YoqHChos4Ienao2p+SypLhKvxEPdNqYWyTFpWmXdMMEHC4aAqEZ23KWSU9icrqfUkqOjo/McFs4VZUlJWWz2hZCUOX1U3GRomRvIj4jTmE0kyZ6kRxz2OWi9hKKmUJA26JKDh3uJZPJUxL2snPPWaKxNBMTKaRtTwucSiSqIigUTEzTJp3Jk0jlGB9PoigKdbURsjmD0hIfJRHvTdPgn/H91CpUfS22sQ9pjaDoyxHChaqvRdEWo+grUfTlKNoiFG05mufD2OYx7MKR4rmOtdiFQ6iuBxFq+dQEXpz0Vcc6QAXhRnWsQnM9BkwRB3QUfR1CmefeCweqYyOgT7W1BkVrR9oxiqsDF7bZhVBrUbQWbGsQlJIpgmMglEjxXHVh089+UiDQKPd/jPrw71Ab/JVLSOz+ZMGWNrsmXuWNsRcx7CsX6Plxh5SSf/mdb0z/jYQ3v7ubM/s7L3PmOw83rFT05ZAyU+yc2MVwbpijiWOE9NBVZTcoQqXeu27e/X6Hc95Mi5RhYFjWjAyHhcDFE+45BJ2uSwZ0+hwOmkMRRM/Z6ZW+LSV9ifh0P9MFg+7J2AxLQNjlpik4t8xxidtDQyA0wz2RNPJ0xCamRZLGMulZNRtK3V5qfPPXJhdCUFUZwutzUlEexB9wE/C7iU2mWdRSAQj27OtieCTO7r1d3L6xFSQ8/6Mj1FaHaW+rIhZLMz6RpKE+wrL2Gt586wxIWLWybt579HZBCB3VefuMbYp2aSuX4n7/9N9FUrD+gs/nUyWFEkJzz/TNXvhZdcwf+S6EY4pknPvsQXMV5YKlNIvkQF+OohZrd6j6iim3BdjWCFbueVTnZhBvb+T2jwuEELj1Ztz6wim1/jggacbZOfEqDsXJbeG7cKqzBeV+0mDmTY5uP8nEUIyD244CYJkWZ/adpXnltcftXA1c+mI0JbIgZPamkQS/7ufBygfIWBnKnGVTWlILt5IMOl149blJQiyXJWMWFpQkFCyL0TlKWwNEXG5c89RhgPPaBg5VnVGMajCVJGeZODWNsUxmVunsiMtDQzA0Z5tBp4vGYJi3Bvumt6UMg84L9BeG08lZstUXCjPN219F8FOPnZ/8Hti6bMb+e+9u596726c/f/RDM9OeHn909YzPH6+7dFGTW7g0hNDQXHOn+QEoagWK9zNvX4duMiQSKU2kNKfy+c+bY6U0p/P3hXBMm1+LMUz5ogdJOKePt6UxK7dfCBUxZdGZdW0pYUp34Ny1wUZiIqVdHOOEMu/57yZIKYkaY0wYI1S53p7J790A27IZ7BgmFUtx6NVjACiqwuqty6lvf3ssecXYh4XBTSMJAJrQGMgOcDZ1Fl3RuS28bsGIglvTaAyG2TcyW35yJJMikc8Rdi0c6x3OpIjn565LUOsPzhlceCGWRMpwqtoMktCfSpA1CwScLkYyKYYuih9YHCkhOI8qoqYoLCstR1cUClMxGIZtcWYyimnbCCHojMdmBS0uKylDv44KnrdwC+8EjKWeon/yT6gO/AKVgc9xzrc7nPwSA5NfxKFV01r2l3j0Yqisacc4PfZ5bGnQVv7PONRi9kfXxG8Sy/yIC0XbSrzvpSHye/MGLk5knqUn+vtUB3+ZiOdhxtPfJpb5EXlzCEU48DiWUOp9grD7PhTlZgoqXT/6Ml2kzCtX7/tJgMPj4MHH7sHh0rn7g1NWSVEsgvVuJIY3lSREjSgxY5JWXwuqUBfUkiCEYHlpOd8+fWzWvoFkgvFshvpAaEF+NCkl3fFJEnMoPKpC0BQMX1Y/oikYwqs7ZlR3HE4lyRYKICW9iclZlRrXlFdfsv/LSirQFXWaJACcnYwWrROqRk98csbxAmZpLrwTIKXELFgU8gUK+QKZZI6R3nHGB6LEhuPExxOkE1kyyRyFfAGzYGHbNpqmouoquq7h9rnwBN34Ql4CER8lVSFKqsOEygI43Q40h4bm0NB1rShG9y58ma8WUkpsy6aQNykYJkbOYGJoktHecSZHE0RHJomPJcll8hi54r23LAtN19Cn7pfDpeOP+AiW+AmU+gmXBahsKsMf8hbvp1NHd+qIt/GeCgQOtRIpLbKFM0gMBC6ktEnm92PJFIY5SL7QjVtvRSAwzEEMcxiPo21K1KaIsOcBdLUU04qRNA6QK3RgX6Y4jpQFTHuSVP4AidwOkrldaGoEh1pBwR5jMvs6ydwezPBvUO772E151ixpETPGOZU4Ql+2i5SZQCLxqn7KnJW0+NqocNXiUb0z+mfYBmdTJxjM9jKY66UzdQqAgWwPX+7+IupFFWFb/UvZWv7YnEHftrSZLEQ5nTxKd/oMKTOBQ3FS7a6nPbCaCmcVqjI73ixnZfj+4NfJWRkerHg/Jc5y+jJdHInvZcIYQxMqNe5GlgfXUeasmJX59nZACMEd711P15FeBjuGcfvdtK1vwR/2FSXj30W4qSRBCEG8ECdqRNEVBzXu6gUlCpuq63BeZMKHYuDi3pFB1lYsjBSuLSVHxobntCR4dJ21FZeezKFYNnpxuGRG7YeMWWA0k6Y+EOLY+OiMVb8qFNZUVF2yzUXhEgJOJ5kLlCc7YuNkzQK6otJ9UfaEQ1VZukBKi9cLKSWpyQy9JwboPt5Pz/F+ek8N0n96mNhoHNu0ivdDTunhX0kcqphyaZ1TpBUCTVcpqy2hoqGUqqZyalorqWmtoLqlgoqGMhyud79Z+GJk0zkGzowwcGaI7hMD9J4cYKhzlOHuMbKp3HSgVbHGwBU0eNF9FYogUOKnvL6EusXVNC2vo769hvq2airqS9+WQdKlN6EqPrLm2SnTvwvTjk4TA8McJlvoJCQlCEHeKmYuuPRWVHHewhh2P0TY/SAAA/G/YCD+l1fch2jmOZxqDU0lf0TIvRVFOChYE/TH/y9jqa8zkvwSYfd9OLS3l5ibdoFd0dd4fvg7JAuTs3RSinLLgrXhO3iy4ednjMkT+RH+39n/jT2tGlpExkpxOjV7QebRvHO0X+zD/thbPD/8baLGTK2WfbEdvDzyfe4qe5B7yx7FfRFRsaRFZ+oUUWOcpYG17I6+zvbxl8jZ2QvaeIvXxn7IY9UfZV34TtSbQBSe+8eXObW3g9rF1WQSWV75xpt8+g8+QkXD/Bol70TcVJIQ0oM0ehoQiKLO9gJXSKvy+lleWjGny+FH3R18etmaeStNXg3SBYNX+7qmXpyZKHf7WF56+YlXTCknvtbfPWN7TyLOusqaWVUc6/yBy8YOOKcm/QsLQo2kixkNDkWbVSiq3h8i6Lx5KnaFfIHYaIKzh3rY88Ihju88w+RYgmQ0hVlYgPTICwjFVM4IhmUz0DHMQEdRzElRBG6/G1/QQ7AsQPuGFpbf2UbzynqCpQG8QTfKu6gYk5SSbCrH5FiCnhMD7PvRYU7uPktsNEFqMk0ufW2lu2de5KL7aktiI3FiI3FO7elEKAJv0EMg4qNpeR23P7aW9o2tlNWW4Jyj4NNCwKnVoClhcoVupMwDfnKFXkw7QYn3MaLpZ8kUTha17aWDvNmPxMStNcMFE8rMPPWrH5+qgz9HxPPodOyDQ6ugOvAfiGVepGCNkSmceltJgpSSjtQJnht6iqyVoc2/gmXBtQT1EKZtMZYfojvTwXC2j0bvolkWgFJnBV9o+x/FtpC8PPJ9Dk7uot7TzOPVH8OtzhyTPKp3lv6NLW32RN/g+4NfJ29nqfe0sCq0gYijlKyV4WTiMKeSR9g28gwZM8X7aj6BY44APMPO8fLo90kW4rQFVtLuX4lLdTOSG2J/bDsj+UGeGfwGPjVAe2DV2072Ow/38DN/9AlKqsNYpsW3/uwHjPaN3yIJV4uEmcCtunGqzgsEHxYGfoeT+xtaODQ6jHlRXvOp6Bg7Bnq5t77puh4eKSUHx4Y5ODJ3CdQHm1rxXCYeAc6Z+sunFXzPoTc5Sd4y6YrPXPUvKSnDd5l2FUWwsqxyhqiSJW06YhPYtsSwZtYlWBwpwXUVtTeuF+fSO03D4uiOU7z1g/3sf/ko/WeGkPaVLGEXHrYtScczpOMZRnrHOb2vk6f/9kcES/wsWtdE+8ZWVm1ZyuI1TTjcxXt1PihOYtsjGLnnAYHD9QiKUoZtj2LkXsC2RhBKAJfnSRTFd4leXDumU2ZtyXD3GPu3HeXAtmOc2tvJWP/EZc6+MZC2JBVLk4qlGTw7wvan9xKpCrHp0bVsfv9trNjcjnaJGhvXAoGO27GYTPoUhjmMppSQM7uxZRa/8zZS+QNkjBPY0kARCrnCWRThwqW3LNgY5FCrCLjumpWbrikhXFo9mcJJTHtyQa51pZDYdKSOkzITNHvbeLLh5/FfoFRbPEYylh8mqM+WZtcVB3WeYraPLW18mh8Ap+Km2lWPT7984aCoMcbzw98ha6VZHdrIB2o/g087f96GyN3sjL7Kd/q/zJ7oGzR721gbvmPOYl5D2T4eq/4IW8oeRbvA1bE8uIavdP81I/kBXhl9lsX+ZWji7RvbAOrba3jrmb0sXtdMajLNcPcojcvqOHuom7q2ahzzyMW/03BTSULMmMShOIkZk0SNGG3+xQvavqooPNi0iK+fPDJDohggaRh86eh+VpVXTqcEXguiuSz/cGgvxhxCShUeHw81LbriIafGH6DE7WH8giqPfYk4PYlJMub5LAQFQXtJ2WXJx7njLnS5SODkxBi6omJdYEsWQFukDOcVyvFeL6SUJCaSHNh2nOe//Cqn93WSSeTesYIs8Ykke188zP6Xj/KdLz5PZWMZd71/PZvfv4HaRZVTA5gkm/pHHM67kDJLLv1lPP5fI595ClVfjBAOLGvkqnTTrwaWZTPWN8HxnWd44zu7ObGrg1Q8TSFvXv7ktxnRoUl++M+v8Nq33mLZ7W088R8fZummRQtqWfA5VjCR/j6Zwmk8jjYyxgmEUHHpLXgdKxhNfQ3TiqGrpWQKp1GEb0FTHJ1aLaoyl7VPIISOxJ6qnvj24pwejSlNDDs/W9wHQYXrxlQllVKyL7aDRCGGV/PzcNUH8WkzU641oXNb+E5OJA5xNL6PXdHXWBpcg1udPU6XOSvZENmCrswkANXuBjaWbOHZoX+nN3OWoVwfdZ63N301Hc9wZl8Xp/Z0TMX+FHjzu7sQQvDpP/gIpTWRyzfyDsBNJQku1cVEfpzeTB+t/tYFdzcANAfDPNbSxt8e2DXLGbB9oId/O3GIn1u9AU1cfeSpYVn867GD7B7qm7VPAPc2NLMkUnZF7QohKHV7qPT6ZpCEoVSCjtgEBeu8JcStaywOl86r4nhhmzW+AKVuLwOpxPT2jskoEbcH+4LVulvTaQqGb3g9dSklpmGy+/lDPPdPr3Do9RMU5qiq+E6Fbdmk4xnOHuqh80gvkYogtYsqiztlhoLxFlJmgAK2NUzRr5+dknIGIbPMkly+DkgpKRgmfScHefWpnex76Qjdx/qx3hHqlZeGlJJ0PMvu5w9yau9ZtnxwEx/5L49RUhVeEKuC27EEEGQLHdjSJF04iqZEcGo1eB3Li1UQCycIKBvJFbpw6y1oysIVNlOEe7p08myIK4ujWWAIFBo9i3CpHvozXXy7/8vcWXofrb6lOBRHMRrhBprl83aOvsxZbGyqXHWUOSvnvJ5TcbPIt4zj8QN0pzvImKk5SUKtuwnXHNoMilBo9rahCwcFWaA/0/22k4S7P3Q7h149VnTpTf3WWz92FxWNt9wNV4wSR4R7yrcwWYhT7iy7ISQB4Mn2VewY6OXg6EyXgCUl/+/QHgB+esW6y6YpnoOUknShwNeOH+TvD+2eFRgJUO0L8PmVt12VFkOp20u1L8DR8dHpbQkjz4GRoRmWCq/uYGnJlT1oNf4AlV7fDJIwnE5xYmJshsRzwOmcVShqoWHbNqf3dfHtv3iO3c8fIpdZAH/4TURNayVLN11QbUK4ULVFuL1Poqg1SJkDFHTHbeTSX0N3rMXpfg/X4tueC+l4hsNvnGDbN95iz4uHyKXzN81Nc72Ijyd55v+9xKm9Z/n0732QNfcuQ5mntPSVwqFWoKtl5Aqd2DJN1jhFyH1f0RWht6IKD+n8EZxaLZadxOtYwUL9NvDOzJARQrAksIoHKt7Hq6PPcTxxgNPJI5Q7q1kRvI324Cpq3I3o4sYE7OasDPHCJAAVrpp5x3whBBFHKQ7FSd7OETPGKXHOju0KOELzBiWWOMtRhVY8v/D2u9qe/ssfsub+lZRUh6e/pzf07hMzu+nZDQE9QOAK/FjXc40qn59fXruJ//zqD4nlZqYvJQ2Dvzmwi67JGD+9ch3NwQhubW7tfCklWdOkOxHjHw7t5YWuM2TN2eZCr67zs6vW0xgIXdWQ49Q0WkKRGXEJsVyOA6ODM+SYK7w+qv1Xds/OiSpdGLw5lkljWOaMhUzA4aT+ImnohYKUkkwyy0tffZPv/c2LDJ4dufxJ73QIWH5HG1XNFRc8Kyouz0fIZb6DlDl05+04XY9gWcNImcI0zyCzz+H2fpJijYhrg5SSfS8d4bt/+Twndp8lHc9c/qR3AaQtObW3kz//+X/k5/7kE2x6z1q0S5SqvhSEEKhKAJdWS8EeJ20cx7LT+JxFVUtNDePUaskWzpA1WpHYeBxLF/LrvGPhUBzcU/YITd7F7Jp4jRPJg4zkBxkc+Q47o6/Q7F3C1vLHqPE0LHhWgCUtTFm0HDqVS7vddMUxnb54YebChSjGIcw9yuqKY/rdLNhzS+bfSDSvbGDXs/soqy1BTAU7l1SH8YUuHXB+IaSUZHIGmWyxlIAQgoDPhUNXyeYLZLLF7+X1OHE5NEzLJpszsCyJ06FhFEw0TcU75cbLGyapTH66Iq92Be7lmx64+HZAEYJ765v5xTWb+LM922ekBAJkTZPvnDnOSz1n2VzbwLrKGhoCIcKuYnlow7aYzGXpTkyyb3iQN/u7iRtzr4IF8LH2VXxoyfLLugPmOnd5aQWqokwXoRrJpGYpLa4ur0K7QreAIgSryir57unj09kXA6kEAxeJQ7aGS+ZVqLweSCkZ6hrlq//zu7zy729hWz8ehXF0XWPrR2+fNYnpjk3ojg1TnwS2PYpZ2Ecg/NdImSaV+AOQH4HrDKIa7R1n38tH37WWg0thrD/KX/3Kl8lnDbZ+dHbA2pVCUwI4tQZSxiESuR1FISO9fWpfCJfeRN7sI5nfhypcuPWWy7T44wNN0Wn2ttHkXUzMGOdIfC8nEofoSB3nwORbdKRO8MG6z7AquGFBLQqKUKcDCI3LTNymbWJPWTsd8xAK056qwzNHF6f3Ufy+bzc6D/ew+YlNlNWVcK7iXbDs6hbEk4ksf//Um6iqwpHTg5RH/Pzix++mtiLEM68coaN3nGy+QCTo4Wc/fBcDI5P8v29tJ+B1YVo2HpeOZUl+5ZP3IIF/+NZ2YoksRsHkzjUtPLZl2WV/358IkgDFZ+jj7avImgX+7uBu0oXZfvCEkefZztM833UGr+7AqaooQsGSNoZlkS4UZlVhvBAOReWJxUv5hdUb5q0bcTm0l5ShXUAS5sLa8qsLKlpVXomiiBkxCBdjRWnlVbV5JbAsm44D3fz1r36FMwe6fmwIAkDLqgZa18zMjLnQonAOihJB05aSSvwxQmg4XA9PVYW8PqzZupymZXV0Hum97rbeiYiNxPnn3/km5XUlLLuj7ZqKfwkcuPRmErm3SOb24NCq0dVShBAoeHDpLaSNI6SMQzi0ajRlYWIh3i0QQiAQlDjL2VL2MOsjmzmbOslzQ08xlOvjpZHv0+prn5F5cL1wqS78U+2NGyNzaihAcXERL0QpyDyq0Ajpc7tCE4VJbCzmmsomCxPYWChCIaiFFuorXDFKayK88Z2dhMtD09og7/n8/Xj8V670e7RjCFVR+OUnt/Di9pP0j0zSVFOClJIH72znPVtUJpNZ/tc/vkgilcWWEoeu8eRj6/nTL73Mz374Lp564QCZXIE9x3owTZtf+/RWJuJp/vrfXmf98noqSy/9+/7kkAQh8Ey5AZyqxt8e2EVsDoVEKMYqJOaxFMwHl6rxyWWr+cW1mwg5r30SKPf4qPD46LkoG+McAg4nreGrq3VQ6w9S6vbM0kW4EMvLFjZXW0rJgW1H+Zsv/Ou0BsGPCxRVYfMTG3B7L5+lIIQDt++nF/T6QgjK60u583230X28/8eKfF2I8YEo//hb3+A3v/KLVDSUXvUEXnznF2PJNOnCMYKuzehq5IJ9Sxix4hjmKEH3HWhqaPpcKSUFewzDHMCy01gyTaZQVBfMmb1EMy+gKQFUxYemhHFp15dKfbMhhIJX87MytJ6CbfCVnr8mbkQZz49ekiSccwdY0rqiKr4uxUOtp4njiUMMZHpIFCYJ6bOL1BWkQVf6NJa0qPM04J2nD/3ZHgw7P8vSIKWkO30WwzZQhUa1u+GyfVto3PvRu+g50U8mkaV1TROmYRIqn7/C7lxwOTXS2TyZjMFkMkvQV5xbJDAeS7H/eB9jsRSjE0lMs3j/vW4HJSEv5REfIb8bTVWQUnK6e5S+4Rj/+sxupITRaJKRieRlScK7RxVmgaCrGp9dvpYv3v8Yt1XUoF+nMI4qBEsipfyvLQ/xq7fdOW8thSvun6JcUvWwKRim1O25qgHJpWksu4SgU5nbS43Pv2CDnGVa7Hz2AH/xi//8Y0cQAMrrSlh73/IFUw6MGWmOTQ7QkxrHsEw6k2Mcn/ospaQ/E+XY5AAT+fMkT1UV7n/yLsIVVzfoXC0UVcHtdxUllyuClNZEKKkOEy4P4gt50Bw3dp1xam8nT/3Zs9ecreF2LEYgkLKAW29FEef1KbxTMQgSA6fWgCr8F5xpM5r8OidHP8PpsZ/n7PgXmMy8DEAqf4Cuif/KmbFf5NTIZ+ma+O1r/n5vN2xpM5YfJmdl50w3tqVN1s4AElWol4wbEDCtsRAzxokXYpdNYRZCsC58BwE9SMqMs23kB+TsmX2xpMXpxFGOxPeiCo114TvmzGwAGM8Psz+2A9M+bxmWUjJujLAv9gaWNKl01VJzE0hCx4Eutn39TXY9t5/axVUcf+s0Iz1jV9XG0uZKLFvyxa+9hrQlj2wuFtM70z3KP3xrBy11ZTx4RzslF8Q5TEt/CXHOy4EEfG4nzbWl3LN+EfduWMRv/YeHaKkrvWwffmIsCecgAF1VuaumgUWhEn7QeYpvnDhMbzJOwbKuOCvJoaiUe718uG0Fj7W00RRcGFOlpigsiZTyw67Tc+5vDIavujCVU9VoLynn5Z65a5k3BEP4r5PcnIO0JYffOMlff+ErjPXduIhiIQSqrqKqCoqm4PG7CZUFcHkcONwOHE4dKSVG3iSXyhEfT5KMpTENE8uysS0Ly7y2FfiS9S3UL7m81PaVIG8VeHHwKBWuILtSZ7m9rJVv9+7lvsqlvDx8nA82rOfZ/kM0+co4EO3hQw3rcapFV1ZZXQmbf2o93/ubF6+rD0IpylPrTp1IRZC6tmpqWispry8lWOrHG3DjcDuma2FIKbEKFkauQCaZJToSp+/UIB0Hu+k9MUAunV8YhUyKA/4b39vN5g9sYNXd7Vd9z51qNU0lf4QtDbyO5TPOd2q1NJf8MTYGHn3JRaJHCmHP/bj0xsteQ1NmEjW/cwMtpX/ByIiDcWFSUVoMOEulc5zoGGbdympqgr+EacfwOlZf1fe5XljS4nsDX8WWNs3exVS7GwjqYRShkDaTdKROsDv6GgC1niZKnZeyMArqPS24FDexwjjPDn2Tu0ofIOIoxZImKTOBVwtQ555pZSlzVnFP2aP8cPhb7JzYRtpKsia8ibBeSt7OcTJxmN3R1zHsPIv8y7gtfNectR8AnKqLHw0/TcyYYGlgNW7Vy3h+hB0TL9Od7sCluNlc+uC8MQ03EgdeOcrP/smn+NLvfgOhKAhFkIzOb82dCwXLxjBMfunjW4iEPGiqOh3MaFk2AZ+L7oEJhscvX2TrzjXNfOX7u0lm8gS8LkajSVrrL58ld9UkQREKd1TXE5hjUllSsnBpjH6Hk0eaFjOeTc/YLoSgJXT9pYWFEFR4ffz0irV8uG05bw70sn2gh9PRcUYyKWK5LFnTxLJtNEXFrWmEXW4qvD6ag2HurG3gjup6Qk4XihALtgpXhOCu2gYG00msi+ISFCHY2tCC8yqrNKpCsKW2kfFMes5Yh9UVVQsixyyl5OSeDv7yP37phhAERVWobi6nZlEVdW1VNC+vo7atmtKqMN6gB6FM/Q7iPJsuliCQSLtYJGpsIMpIzxj9Z4bpPTHISO8Yg2dHGR+IXtFqVdWKK3hNXxh+nbdN0maedSWNTBbSjOWSlLsCbCxt4Vh8kMHMJGeSI/h0F6VO3wwSqyiCez96B28+vZfxgehVXVfVVCoaSmlor6FxeR2L1jTSurqRUFkARREoqlKUn75MYaZzdR6KxMsmOjLJgZePsfO5/RzdfprUZHrec68U8bEk3/urF1i8tumq/LlQLKMd8Tw8/z7v3PuSqRxdfUFMazVtzRWMRdNEJ9NUlPnRNZXxaJpIyIPX4yTgdiGlpG8oRiTkJZUOoSr3YWRjKMFiVPnxM0NMJrIMjUxSURpgLFpPU/1aYukCw6N9VFUEqCgNvC0uC8POcTp5jBOJQyhCKZbNpqhgaEkLgcIS/0oer/4oujJ/WrgQgibvYm4v2crr4y9wInGQ08mj03OARLK59AFqaxpnzAsCweayB1GFykujz7AvtoODk7ume2FJC1VorA5t5LHqj17S3XFn6f2M5Yd5Y+xFXh8rKp1KbCxp4Va93F/xOGvCmxYys/WK4Qt66DnRTy6Tp/dEP30n+1l+15IrPl9K6BuOAYK/f2o7ihB4PQ5+5gN30N5cyf23t/HDN47TXFfCTz+xCe8UkV/ZVoNDV1m9pBav28nqJbW4nTptTRV8/LHb2HGgk7xhsrSl8oqC6696pNMUhc+sWHu1p10WlmkxNjSJtIuBoCUVQX5j090Lfp0LcS5wx+9w8mBdCw81thLNZZnM50gbBoZtYUuJIgQOVcWnOwg6XcWVvFUUsbkcQbAsm1Q8gy/gRlEVsuk8+WwBX9CNpqmkk1lM08YfdIMQpBNZFrnC/NHmB+atEWAWTMaH4kzVpqG0KnTJVDEhBOurallfdWNrmY8PRPn7//pvDJxdOBeDqqtEKoKsvmcZGx9dTeOyOkqqQrh9rqtfVQLeoIfGpbVseFgWJZgnM0RHipUPj+44zaFXjzPUNUomkaVgzE5vbV7ZwKI1TQv07cCrOWn1V/Dv3bvQFZX1Jc0MZienTLlOajxhNpQ2kyrk8WpOHMr5V1YIQfOKelbfs5SXvvbmJa8jhMDtd1FaHWbNvctYe98KqlsqKKuN4PI6r3lyOkfKNEUFXaWyoYyHP7uFzR/YwJn9XXzvr1/gwLZj5LPXl4K2f9sxek4M0L6h9brauVKMjCc4fHKA1oYyXt5xmkwmT111hKdfPMzSRZUcPTVISdjHg3e3T58zNBJnbCLJWDTFkpZKhkfjKEpx6jt2epDaqjCJVI4d+zqpqw7zwmvH8LmdNNaV8Oaes7zvwVXoN1jxVBMaP1XzSU4lj9CdOkO0MEbWyoAEt+qh0l1Lm38Fbf4Vs+Sa54JTdfFg5fup9tRzdHIfI/kBTGnhVtyUOitZ5F82a+EohEAXDu4sfYAGbytHJvdyNn1qRhXIZYE1LPYvw6P6LvlsakLng7Wf5XjgIIcmdzFhjKGiUudpYnV4E4t8Sy9JdG4kHvrsVn74Ty8z3DnKv/3hd7jriY3UtV150LlRMPn+tsM88cAqljRXkMub/OXXXqNvOMbqJbU8snkZj2yefd5jW5YD8L6tKwH4qftWTu9bsaiaFYuuLvD9HeNu6D41xK++788xDQuhCP7se79C2+rzfqQbKddr25J9b5xiw73tlLo9lF4g0yyEmPPafb1jHN/XzQNP3IZ6wYt98bEn9nez7en9fPhnt1JWFeSZr+7A6dIJlfpZc8cifvC17bjcThatqCUQ8rBr23EksPmRVVQ3lMz5gpzY18NvfvSvsG2J7lD5y+d/nfrWolnQNC06Tg7T2FKGaw6J21Qyx0DvBG3Laq71ds2JTDLLV//ndzm5++zCKMkJaFnZwN0f2MCWD26aUT1wIVZbQghUVRAo8REo8dHQXsP6h1ZhFSz6zgxx+PUTHHnjJEe2n2JytChEpagKdzy+Dn/kyvOcLwdVKGwuX8xd5Yunh9KPNBRTKD889e+H6tcjmXsxpDs1Hv3pe3njO7vnnIiFImhaVsearctYc+8ylt2xGLfXdUPLYQsh8AU9rL5nKUvWt7Dt33fw1f/xXaLDk9fcZj6T58WvvM7idc2o1ymydCUQCGqrwjTUlXD45ACZnEFZiZ+li6ro6Z+gsbaEzt5xwoHzY0VVRZCDR/tIZw1qKoIMjcRRhCCVyRPwu6mrCnPwWD/xZI7SsJeaihDReJqmulIOHu97WyTJhRBUu+qpdtVDGbOyC2as+K/w+XCrHtaHN7M+vHlGe5ezKmuKRoOnlQZP67znXa4PljTxan42RrawMXL3dCvn2riZwaR1bdV8/n9/EtsszmlXKw6mayqLGyt4ccdJdh/pKT6DYS9NtddvSb8avGNIwuEdHZgFq/ii2DNL1EopOb6/mxP7e+jtGOH+J25joHuM+35qHa8/d4g1dyzi+P4e+jtHKa8Jc9fDK/nuP7+O1++iprGU5qU1vPbMAVKJLLc/uJzeMyMM9U6QzxV46EMb6O0Y4emvvMnY0CQPfXADu7YdZ6B7jEhFkLseXsGr3z9APJampb2a5vZqXvzWHoy8Sahk9mRx5mg/B3ecwbYkT3xuC3Ut5TQurgIkkxMpFEXw0Ic28PSX36SvIkBZVZil6xo59FYHgbCH9rWNGLkCQz3jVDfM/TAc3H4aayqi3bZnlkm2TJvD+7sBSbjER1lFkPhkmlQih9fnxDBM9r3VgdfvIhj04PU7mRhLYuRNIqU+3J6rdztIW/LqN3fy6lM7F2Sgq2ws4/4n7+Lhz9xDpDI4g4TdKJwbTDSHRtOyOhqX1vLAJzYzMRTj8Osnee1bO0nF0mx8ZPWC96do0brMMZc4t3llPWvvW85bP9gPFMlMpDJE+8ZW7vnQJpZsaCVU5kfVFraI0uUghMDtc/Hwp7dQ2VDG3/361+g9MXDN7R2bCvyqbr7xVROdTo2Az1UcqJvLsW3JZCJDa0M5o+MJFjUVA4HP3U8hBJVlAQzToq2lgkyuwMnOYZwOjc3rW0mmcuw70ktLQylOh8Z4NEVrUzlOp84PXznKoqYKtKt0I14rZqTtLoAd/nram75/19mPc9U630n5Jf/yO1/ns//jY2gODWlLdjy9h8qmclpWNV7R+YoieO+9K7hjdROGaaGrCuGgF6/bMT3Ovh3v8zuCJJgFk2N7zl5SGCY+kUZVFaobSqmojXBifzdSQjyaxsibOF06FbURDu88yx0PLiefK/Dox2/HH3QTj6YJRHxMRtMMdI4Rj6VZf087/V2jREcTrLlzEUf3dvGej9/O5HiKnS8fp31tA2ePDVBRE+bwrrO0rW7g5MFeLNOmprGUmqYyju7pmtHHc4pYZVVhdvzoKAXDxBtwo+lFBmmaFqqmFk2QQmDkTbSp4DvbtrFMG1VTUDWVfG7uegYFo3ivLoVUMkdv1zg7XzvF4x/ewMRYgsG+KGdPD/PoE7cxOhzn7MkhxkcT3H7PEl578RjBsAeXS2fLg8uvaqUmpWSwc4Rv/tkPrrvssKoprLl3GZ/6vQ+yaE3TNeXGLxSEEHj8bjx+N3WLq7n/ybsY7hq9KnPh2wWX18l9H7uTI9tPESz1s/XDt7PxPWtoXtnwtqy6LwdVU1l3/wp+/v98gj/9D/9w1fET5zDSM07X0T6qmsqvaXCUUmJJiXoFMUR11RHqqovpkvfe3jZj36qlRbfdkpaZ2iK6pvKBR9ZMf/7MB2+f/vuDVfPXhNi4uvGK+n8L7xJIMPIFxvompuvSWKZN97E+gqX+y5w8E06HRk1FaNb2k9GxosR2pBh4mDNN3hzo5v6GhXfHvSNIwkh/jP7OS6eGKKpAc2g0LK7E4dSQwKnDvYz0x4hPpDi2r5vl65tQNQUkuNwOdEeRmXeeGCQ6msDjdYIQOF06DqeGpqnYUxN7IWdy9tgA1Y2lVDeWUlYVomFRBVX1pVQ3lFLTUEJkfRPSlhx8qwMpmUVqjLzJwR0dVDeU4HTOvrWRsgD5rMHRPV14fE7qWyvoONbP6SMKkfIAJeUBuk4NUzBMlq1rnPM+DHSOMtJ36UHW4dBYt6mZgmEyMjTJ2VNDKKpCf88EUkpKK4Js2tLGU1/ZTm/nGJ1nhmldUoXX5yx+p6tY0OQzBk/9+XMMd19das/F8ATcPPb5rXzoC4/hD3vfcTnnTreDhqU3NqbjWiGEYO19y/nNL/8CLasaCIR9qNcoZ3wjserudj79ex/gb77wr2RTc2uUXAq5dJ4jb55i4yNrrkmu+cT4GH+2fTt//OBDlHjefRr6t/DuQCaR5R9+/V85uv0kf/jk/wWmiu21VlK7+PoXGVJKehKTKEKwOFxMYUwXDF7uOfvjSRKklAz1jDN6idVFwTCZnEgRCHnoODaA7tC4+9FVTIzE2fq+tdS3lsNU7MCjH78dh1Pj9geW4ZjK4V60vBZNV9F0lcraCPl8gWDYi9vrnCYL971/HQXDxOVxcv8T6xjujeJyOwiX+rjn8TXExpM4XQ7Ka0IUCha2LVm8om5GcKHDqXH7/cuIR1M88rHbcbp1FEVhzZ2LCZb40HSVex5bzehQnC2PrcYbcLP+nnYyqTzNS6pQtWJEuRCC+taKWROllJKe08PExi6R7iKKptJtPzxCOpVn/Z2t7N3RQbjES0mZH0URpJJZnnlqD2XlAdqW1dDbNYaqqZRXBIsk6yp+u1N7z/LGd3dflzyw2+fi47/xUzz+s/fhdDveNoIgpU1BGujCcVH6242HYeewpImCivOCKnaWNCnYxQnUoXjmTf26GN6gh9seWHn5Ay+AZRewkWg3qJjPxVA1lS0f3MSeFw7z+rd3XVMbp/acxTKtayIJpm0zmcvNqINyC7ew0PAE3fzs//k0Lo+TD/3n9wLnAofd11yL5ByklLzUc5avHT+IDfyouwMokoT1lTdmEXPzSYItOXmgm2xqflO1pqlU15fS1zlKIOShcXEl/pCH6obzQhBLVtfPOOdcIB+AP+Rh5cbZuuwe33llxEUrzt/g8uow5dXnzYN1LeXUtZwXI2pfM7cwhxCC2uYyaptn5p5W1Z+PLahqKKXqgn43tVXNOHbxyro524aiyerkge5LRoo7HBrv//gmpF20kKiawsc/d/dUYJBA0xQ+98sPgJRTaW6CJ568HWnLqw6sKeRNvv3F50nFrj3NzRtw8+RvvZ/3/cKD1/0CXS3SVoIfDf0TD1T9ND7t/O8tpSRtTuLTF65s8MU4Ht/O8fgbSODJxt+f3j6W62V39Fl60kd4suH3iTivb+VhSZOclcY7R6T6ycROYoVh7iz9AG9XjpjDpfPELz/M4TdOTAeEXg16Tw2STeVwzhGUewu38E6Bpqt84nc/hMO18AT8nromMmaBrFlgXUU1gqKacJln4QKqL8RNJwmWZXNk56V97IqqsHJTCys3/eQUYJkLRr7A8YviIC6GEGJWZa9ZRYgu+nwllcAuhpSSw2+c4Phbc4s+XQlUTeXRn9nKe35m69tOEADcqo+7yj+MS/HN2J4ojLM/9iL3Vjx5w669MnQvXjXAvtjzM7ZXuJq4t/xJvt33v+fVtb8aDGc7GcieYUPJe2bta/StoNZu4+1MIhdC0Li8ltX3LOPVb7511ecbWYP+00OELlEoJ20YvNDRwY6+XvKmSV0wyCdWrQbAtCWvdHWxd2CAgm3x6OI27m1qQlMUdvT28mJHBxPZDD6Hg48sX8HKyko6ohN88+hR1lfX8FLnWSxb8viSJWxuaEBTFBL5PM+fOc2u/n4Klk1jOMQnV62mzOtlIJHgqWNHORuNEXa7+MjyFbSXlV118beFgpQSW0rUOdKrz1W51RQFx3UGUUopGYun+d6bRwn73Xxoy6orOi+RzpHOGVSVzP/7ulQ3Tzb8PIadJ6SX0DES5R/f3Du9P1cooKvFIF3DtIh43fy399yL/jYFhp7Dt//8B3zsN98PFBfDe148SHldKY3L5l8IXg5CCHRVZUtdI1IW1XTPGcYsW6LfAIPoTSUJUhYj/juPX3vE808KpJRERxL0nBq62V0BIJ81eOUbO0hehxVh3QMr+Oh/eRyn5/KrQiklMWOY7vQRslaSiKOKZt8axvP9CKDK3cKhyW1UuVuIOGo4k9xNq28dI7luBnMd2NKi2r2Iek87QiiM5no4k9yLxGZDyeOcK93cnTrCsfgbDGRPowoNjxpgafBOPJcQdJFSMpQ7S1/6OBYW5c56mn2rAcFw7iy96eNois4i33oC+lSBIaGgzFHmVgiBKjTERYrpUkomjAE6U4eQ2LT61hFxVCGEwJImXanDjOZ7UFBp8C6jwtXEqcROjsRfI2elyVkpQo5ylgbuRBEqhya3kSxEqfW0EXSUT18jZ6U4ldxNxkpQ7WqhzrsUBZWO1D7cqp+hbNG82eJbQ3jq+lcLl8fJne9dx/an904Hdl0pLMtmoGOE5Xe2zblfSslXDx3ixY4OPr1mDeVeL9FsFtcUEY7nc+zu7+fxtjaG0yn+71s7qA0EaC8rI2nkWV1VRaXPx/a+Xr648y3+9OFHSBsGL509S9oo8HjbEvoTcf5s+3ZqAwFaIxH+cd9edvf386nVawi7XEzmczhUlZRh8L/eeIMqv4+PrVjBqfFxfm/by/zZw49QFwzeMBePZGYq9rnrnCMBpyfHWTVHQTcJvDHQTa0/yNLI5ZX4LtV/w7T4t5f3M5HMkDVm/sZzZUCdSzXffqybfMHkfXcsm/c6qtCo85zXKpG+NA+0F33xJ4ZGOTseZfOiRnRV5WDfEE5NfXvzHiTYlk3/6UGkLYsiVZZF16GeYvrxAkATCt89e5yj4yPT97MpGOHnV29ckPZnXGvBW7wEpJRYpk06mSUdz5KIpdn98rFZUfESipPhVfoOS6tClFRe+uWTUhIbSzI2MFtn3Ol20NBWOa+I0ZXAMi16Tg9jXJSdIBRBRW2EYMmlxUEu7KdZsIr3KpElEU3z5rMHZwn8SCnpOjFAJjl3vfX5UF4bIVx27fUaRrrH2PXDg9d0LkB1cwWf+O33F5USr7AP4/k+CnYenx5hf+wF8nYGh+JmNNdNxFnFzvGnWRG6h7aAzon4Wyz2b2QgexqH4saQObaNfIXHa36ZUmctfr2EMmcdL498hTXhB3EoxZfXq4fw6WFcho8az2IcigvtEmIsUkrOpPayZ+JZWv3r8CgB8nYGgN70MbaPf4s2/0byVpYXh/+Z+ys/Tdhx9RU3J4xBXhj6R1p8xej5Hw3/Mw9U/jRhRwW7xp+hP3uSVt86JDaGnUMAQUc5btWHQ3FR41mMW/UjphT26jxL2Bd9nrPJ/VOEBnJWipdGvoRHDVDirGFP9DkmC2OsDN3LwdhL5Kw0y0N3EzfGeGn4SzxW80uXJE/zQQjBis1L8AbdTI5eHUmQtmRiKDbv/mg2y+vd3Xx27Vres3jxjGerP5HA53DwydWrWFlRScGyeOroUUbTKdrLytjc0MhIKkXaMFhRXsGb3T3EssX3yu908uTKlSwrLydnmnzz6FHGM2mCTidv9fXxc+vXs7Wpecb13urroysW5f3t7bh1nbbSUr56+BCnJyaoC964mhtnJyd4c7CHlmCEA6NDvKe5SKgM2+KFnjPsHOol32piSZuT0THK3D4agyF2DPYSzWWIuNz828lDpAoGK0orkEB7pJztgz2kDIOMabCltonWSyjf6qrKpx68jZ0neugYGJ/eLqXkQMcAz+46STZvUFsa4uP3rSHodfFv2w7w3K4TCCHYeaKHO5c18dim9nmvcQ6lPi8PLlsEwO7ufn76jnWsqiu6cdfWV/MXL23Hkjba21SqKB3P8Nf/6Z858vpx/vuH/xQoLgVKaiJUtyxMtd3DY8P0J+N8fsX6aauQS70x0/kNJQlSSkzTYmxwkt7TQ/R3jNLfOcpIf5TRgRjjgzGM/GxVOyT8xX/5+lVf78kvPMzH/+NDCPXSk07/2RH+5D/+K+PD8Rnbw2V+fucfPseStY3XnGJ1+K0O/tcvfpnERSvsiroIv/W3nyVY4pv3XLNgMdIfpff0MH1nRxjoHGP03L0ailEwZssGW6bN//rFL191X3/uD57gvZ+5+5oszVJKtj+z75qtCELAw5/dwqKLSi1f7pxF/vXYFLU0TNtgONfF6tB9nEnuYTTXQ6W7mbQ5yaQxStBRiio0NpQ8jsTGlhaD2TOM5/spddbiVn1UuJtxKjOj3MucdVQ4G4nmh6Yn5EvBlAbH4m+wLHgXq0L3zVi1HYm/xmL/BtZFHgEkzwz+Fd3pI4T02UGpl8PJxA7KnHWsizyMQGEwe4bezDFUoXEmtZeHKn+GSvdMJchqdytdjipMac76LqXOOiKOaiYLo9P9Hc/3EzWGeKj+8zhUFwG9lJ3jT7M0cAeWNFkavJPVoftJW3Ge6v1f5Ow0Hq6tjLAv5KVlZQP7XjpyVefZtk10ODadbnwxklNKqdX+uQmwQ1WpnCpmJoRAUxQs2yaZz/N3e3bTMxmnJhAgb5lFxdUpl49T06jw+aasQOfOkyTyeWwpp9u8ELFslmg2y/dOnkCZetFWlFcQdC3ManI+5C2LVMGgYFskL6hm61Q1Vk5ZEFaUVfLdM8d4vLmdZzpPMpnPcntVPR2TExRsm4DDRSyfRRGCM7EoWdOkPVLG0fERQBJ0XPo7KIog4vfMWsHnCibfefMIW1cvYmlDOcmsgdtRtOI9cdcKookMJUEv77tjGZqqXPV7kjdNuicmaa8uRxGCoXiSWObqFlDXC2/Iw8//2WdQNZWP/kbR3aAoAl/Iu2AF0SwpaQyEaQyGplxXN85ScsMtCS99czf/9IffxyyYmIVrL6qzUBBCsHxDCx/+pQf4h//+vRkr89hYki/98Q/4z3/xCUqrQlf9gA73TvClP/7BLILg8jj45BcepXVF3fxtSnj6n17jG3/1I0zDLGZQvENLACejaXY9d/Caz29b38IDn9x8VToIpl3gWPxN+jMnsbGIGkOUOuoIO6owbYOu1GGafavpSh1mIj9A2FFNxkqwL/pDEoVxbCTDuU6WBDZdc7/ngi0t0oVJIo6LAwyLpnufFp4ypYJPC5MxE0jkVZs/k4UoPemjxIyi5LVh59CEg7ydwbQNQo75q3xeKQw7O5VRUTTNe9UglixgyOK1/FrJtJS5IpTrEs5SVIXW1VdPEpCQmEhhW/acolYhlwuXptERjbK6qmqW71/AnPEAR0ZGeKOnh7957HHKfT4ODA2yf2josudFPB5UodAVi82KNaj0+ajw+fjFDRtpCIWK3ZfyhvvGAw4nA6kElm3PimpxaxpD6SSjmRQe3cGxiVFURSHi9tAZjzKWTZMqGNhS4lQ1VKHQGopwaHyYu6rryVsWR8eHOTw+zH31Vx8j5tQ01i2q44U9p5hIpLljWSO6XowfcDt1dE3Fqal4XdcWmPqhdSv44rYdPHP4JJoiyJsmH1i7/G2PR9AcGp/+7x8p1hq5SBhwIdxMZR4vf3VgJ8cnRilxe1GAal+AD7Ytv+62L8YNJwn5rEE68fYyuctBURW2PnEbJ/Z18+rT+2ak7x3d3ckPvvwmn/ovj16Vsl7BMPnuP7zC6UO9s651/wc3cMcjKy85KUog9w68VxdDSknnkR6GOkeu6XzdqbP1o3cQukwN84uRNGPsjT7HA5U/Tamzln3R50kUJnAoTrxaiL7sSVaEtjCa66Evc4LbSh6hK3WIoexZHqr6GVSh8ezg3xa/A0WVSintqe9kz1AwU4SGJQuYtoEQCgrzKxWqQiPsqKQ/e5IqdytCFgvMaMJB2FHJWL6PVjuPlDbR/CDtwTunShfLqcBEiS3tGaTh3HaJnO5XqbMOG4s7Sj+AKjRsaeFWfRh2DpfqYTB7hv+fvbeOk+yq0//f52p5Vbu7TY+7T0aSTFyJkmALBF8ILPktsMp+YZdddlkWdoFgQWIkEHefZDLu7u3uXV5Xfn9UT8/0dPdMd49kAnler6Snrp46de85n/OR5yl0TYHjVSySOtA+lagZwrASye82SIJx4vrJfhC4FD9xM0zE7MeJl/ZYPbrsxiG5EcCQLjjLnEpJEuSWT8z1enyxMdL76dd1rqms5MEd2+mNRslwu+mKhLm09PQTWsDpQJYkXj92DL9DZ319PdYIYminIsXh4IqKcn61dQvtoRABh4PuaISrKiqZnJnJ9KwsfrhuHStLSrCxaQ+HuWXyFLI8I3sUzwVy3T7ys/JQhIRPH7riz3R5WJRTgCpkluUV0xDspSxQil93cKy3i/JAGqkOF82hfpyKQobLzbHebsr9qSiSjCwEFSnplPonVvkjSYLrFk2mqiCDtbuP8YPH1/A3t60gOzVJMiTE2T1a0/Ky+O5Nq6nv6sW0LLJ9XvJSfO9JomjDgSZe+d1b9Lb3oagKpmlx99/dQmH16JT4ccsAbFShnNaYSHW4uGf6POJmkolRQpw3D9V5NxJUXcHtG73xRtwckV3Q6daRzhA2OBWaro75WJfHwUf/5mrqD7dweFfD4HbLtHj+wbVUzSpi4eppY1rtWqbFm09u4bU/bR62r3p2MR/+ypU4xpCcp52hrxJxc1iuA4DTo4+bnVCdoNvLsmz2rj9E7xikSUdCXlkWl3xowbjLLXXJSYqWw67et3BIbnoSbfiUZEw0oGXRHD2KU/GS5SihJrQLj5KCKjkwbYNNXc8jSCb4CQSWbXI0uI3a0B76jA42dD5DqpbNjJRLEchkOYsxuw1ebL6fVD2PmYFLR429y0JlTuqVrGl7lPZoPZrkwKumsijtRuakXslrLb/hhaafYdoJvGoaJe4ZRM0g+/vXUxfaQ2esiXc7/kiOs5wS93SOBrdTH95HT6KdLV0vkq7nMyOwiin+pbS2HuPt9j+gSToCweyUK0nX85mdciXrOp5kr/oukpAodFUzNbAcgAJXNa+3/o5XWn5FlqOE6YEVhM1+9va+w9HgDqJWkHUdT1LqmUWGXkCVbwEvNt+PS/HRn+hiYdoNAwmW5x6BdC+qrpAYKeR4GhgJY0Cxc/j7LoTgQ5OnUBQIsK6+nvZwiJJACj5dR5EkVpeX41CS30cSgsvLysjz+ahIS+e+pUtZU1tLXyzGR2fOYntLM37dgS4rrC47cZ48cJ1sbzL8cPf0GVSmpbGhoYGWYD/laWm4NRWHonDf0mW8cewYu9taUSSJGVnZ+M6B4urpIEuCGRk5I+5TJIlZmSe8Xifr1Jx8Tq4nOWk3BftoD4dYkleIfBLD30QRSxjUtnaT4nWyalYFu4410x+JkU3yfl6XTmNHL+09QRyainecNPFx06Smo5u2/hCWbdPSF2RPcxurJ5ePWNFxPvHCL19nyY3zWPP4Oq78xCrefXozmuP0c9TbbTvZ3nOE2SkVTAuUkKaNrAwa0HWipsHrdUf47Iz5+HUHTcGJjclnwnk3EpZcNYOqUXgFADa+tpeHf/jSUP15AV/4zq0UVY1vpZGa6R8UAToThBBkFaRy91ev4r+++tCQEEGwN8KD//0iJdW5QzgNRkPD0TYe+dHLhPuHsshl5Aa4+2tXEUg/c7KiEHDZrfOZvXx0KdE1T2/j8Z+9PsTzISsSX/3Pu8guTD1jO09Gek5gQmEsI5Zgx1v7xn/iABZdN/u05WujwSl7WZ39V/Qm2pGFikcJYNoGIJgWWE6ZZxa65KLCO4dMRxEBNQtJyFyR82kiZj8u2YssVFTJgUAiRcvBIXmo8iazgWVJHVzN+5R0rsj5NEGjG01yokmjyxMLIchylHBV7mfoS3QCNm4lgCQUAmoWV+bcQ2+iA0lIpGjZOGQ3CStGtqOUdC2f2SlXAOBS/AgEKVoOuuSi3DMHgIQdJ2qFcct+VmbdTVPkMDY2qVr2YG5DlW8BWY5iwmYfkpDxq8mB3LJNUvVcrsr9DFEzhEv2IgkFTXKQ76oiz1k58CXArfhRJI25qVdR4pmRTBBVAvjUpPz7iqy7cA1wLThkN1flfgafeuZ343T95nDr6E5t3EaCmbBOG4pTZZlFBYUsKhjKnZLidHLP3HmDn2VJ4pNz5g5+PvWc6owTE+Kn5544TpGkIdfRFYVlRcUsKyoe1ha3pnFtVRXXVo1cjXGxI9fjI9czsbwTALdDI+A+iSzMtNi4v569tS3IkmDp1BLy0k8kcS6fXsYvnt/A/zzxDpfOKmfFzPExCD6zYx/P7NxPfsCPPDAXOFSVy6rLxkMke45gUzm3nG2v7SK3PJuMgjTaGzrJLhk9NDg3tRKXorOp6yCvt26j2J3N4vTJ5LnS8SiuQY/I3s52drY3k+pw0hOL4tMcPHloLzMzRzYOzwbn1UgQQhBI9xI4DV917YGWYROoAPJKMymfOvF60rG2b/Ylk7jxUyt46L9fHGKoHN3TyKM/foXPfftDoxJi2LZNsC/C7//rBZpqOobskxWZWz9/GdMWju0hF0KQmuknNXP0rOe9m48NKK4PPa+wIpvCivMvegPQ3x3i8PbaCZ3r8jlZcNXMCZ0rhMCjpoxIcORWAriVAAAO2YNDPuHKTRuFjChdz09qR49yr4CWOeY4vxACr5qKVx1uqI3UZlXSyXGO7P5O03MH2xwxg2zvfpOG8CGWZXyItmg9bdEGElaMHEcZslCSMU4EKVo2KZwwqm3bJmHF6Im3ke0YmtCoSy7yXFUj5kUokkaWo3iEdp1wkcpCIdMxuuE/ViiqgqKOfwiyLCspbPYBLnosm1bCsmknnj+nrnLXpaMnBOem+fiHj1w+4fttrm3ky6sWM6vwvddYmbFiKtFglNzyHH70xV+iqDJzV8887Tl+zcPCtMksTJtMY6SDx+rX8He7fk2ZJ5clGVO5LGs2bsVBZyRMZUo6wUR8sAgwZo7P2B4r3nMypfEiFjdo6eynIDuZ1dnW1Y+qyHhcOg2tPURiCbLTvKT4XISjCRraejAMi8xUD+kBN7G4QVdfmIRh0h+OUZqXxvWfWMaBbTVsfG3PkKrLNc9uo2pmEVfcsXDEignLsnnp4XVseGX3kO2SJFh+/Wwuu2X+RSGwcy5xcOsxoqHx8+4DVM4pIbds/Jn9f6nQJAflnpkc7N+CjUVXvJly7yxaIsdoi9Wzs+dtbCxsbApdk6gJ7SFuxVCEysyUFdSF9tNvdJPlKKYhfJD9/ZtQhEKJZzrFrskXkkNpREiKNO6wEzBgJb8/jATLTg7c5ytkc6EwVtXBU48btgAcczXTxB7ObL+Xnkh0VMKoC4mlNy9AliUu/8glzLp0Gk63TuA0i0CAmJmgKdLBzp6jbO85gkdxcl/17WTofl5p2cqf6t/mIyWXU5GSxm/2bKMl1E99Xy+hRJxl+cXn5Xu8757ceMLg10+v5wu3LSPN7+bBF7Zw2fxKgpE463fVkOJz0d7dz2dvWUp7Vz/rdtZgWxatXUG+dMcltHT28T8Pr2HhtCLihklWqpf0gJu7v3oVjUfbaTjaNnivSDDGoz9+hcnzSimsGDq52bbNoZ11PPHzN4eVcRZX53Lnl1ePKQ/h/QTbtjm8rWZQpno8EJKgcnYp3tTzl7AFkIi9jZU4hOJYRSLyNCDQnDeDUIlH/oRt9aI5b0BSqgZ+z2TynmXWYURfxzLrsTGQpAxkdTKKtgghnaA7TSb6dWNE38BM7MG2I5yYsARCSkV3340kn73bTxYKupwsIzueyighIQkZ0zaImEGWZtzAlq7X6Iw1E9AyiRj9uBQfQaOHIvck9vVtTPaLFSNDzyfHUUJj5AhFrur3XFhXIN5zQ+V8oyu6CVUK4NfPXO9/MSOeMNm4t5alM0rPOIG/seUwK+eUj3uit22btTuOMXdyAQ5t7PllJyPD4+b/3ljPuqN1yUQ+kQwHfWLx7AsmxX0cx/O+dJdO3hiTdNd17OXV1q1U+fK5s3AVJZ5sVCl5nevzHPyu5hUACrx+PjF1Nhua64kYCSpS0pmdeX68J+87I8Hj0qkszGTX4WYqCtIxDJNJJVn8089eoLokm6w0L9sPNLDvaAtTy3KYUZFLd1+YzfvqicQS2Da4HCrXLJuC26khDdRLl07J5yN/czX//fWHiZxE7tTa0MVvvvcsX/6PO/APTHC2bdPZ0ssD//YsXafwz3sDLv7qG9eTV5LxZ7diTsQNavY2TEjMSdNVJi+sOCuiqrHATOwlHv4Difjb2GY3pnEAM7EbhIZl1GCZDRixt/GkPQjCj22DEXuNSO8/AQIhZwACw+zCtn+J0/+vaM6rB69vW82Eu+/FNGuRlSkgBFZiL5bZiKxOR3Vczvl4rSQk/GoGjZHD9CU6qfLNI2FFqQ8fJGIFSdWysGwTRVIRSFi2SWu0ju54G13x5qT6qeQYKGGE98tK/HzAtm1iZhv98UNYmLiUHDxqkownZrbRnziCZcdxKQV41GKEkLFti5BRRyhRgyp58WtTkaXRk+osO053dDu1fY/g1SoIGw0EtCk4lKTxGLe66I8dwLSjOJQcfFolQlx8yp22bdMTjLB2xzFe2XCAhGFSlJ1KZqqH2uZuJhVnEY0nqGnqoig7hc376/nDK9vAtslI8TC1bDgrp23bBCNx9te0EoklyM8MUJyTypb99Tz6yjZ6Q1ECHgeLppUQN0z2HWshHI1TXpBBZoqH/bVtqLKU9ChnBSjIShlM3E51Obl8SsVANU5ymy7LvF+s0ZkpZcxJrcClOJAYKmmervv4aEkyFNMaDqJKMjdXJJkpDdviaE8XVWeZWDoSJjya2bZNuD9K7b4Gavc1Eg3FWHL9XDIL0rBMi2g4hqIqqPrpSzkmgumVuby99QiGaTKlLBtJCPrDMZy6giwJblw5jeLcVJ5+axeRWIKS/PTBNgP43A7cDm2IO0qSBAtXT+XyjfN57ndrh6yWt7y1j1f+sIGbPr0SWZawTItnfvM2uzcM1ZxQNYUb/uoSpi8avxX9fkB/V5Culp4Jnau7NCpnl5z5wHMAy6hBdVyD7r+TaP/3iYefQnNehzvlJ8QjTxAL/RIzsQ9FXwiYxEIPY9sx3Kn3I8kFgMC2OjGNGlT9BK+CbVvEI09jJvbg8N2H5rodkDFibxHuuQ9Zm4Xu+QxCnLvsdafsYZJvPkIIityTaY/Wk+ssxauk4pA9KEJhmn8pXiUFw05g2QaSUJCFQk+8nWrffCRkshyF2LaFJjnQPa5htM9/SbDsKAe7f4xTyUEIjZjRjkctAwQ9sd30xw8hENT1/YFJqV/Dq5XRF9/P4Z778WuTCBl1BPVjFHhvHlU9NEn4FSRudmFaEQyrH4ukxzFudbGv83vocjq6nEHM7MSrVV6005hAEBvgk1FkGUkSGKbF02uSYdY9R1uQhKA4J5VEwsS0LBRZGnVBYNs2L63fR29/lJx0Hy2dfRTnpCaNt4SBIkuDYdqX1++ntrmL7HQf7+w4xudvWcpDL24mI8VLXoaflzfs58t3LCfNn/T2XTm1kkgiQX80hirL+BwOTNsaTGK82BHQhnpabdumLdaDS9bxqi6yHcl+2t7WjCwkLitK5jZFDYPf793OvyydeD7HaJiQkWDbNoe21fDAPz/OjjX7sEwLSZEonlJAZkEafV1B/vdrv6NsWiEf+vJVEy63GwlCCErz0nju7b0cruvgqiXVSJKgsjATp66xcFoxvcEIAa+LvcdauW31LJyaSjAcH3KNkd5IVVO47YuXU3eole1rTwgXxWMGj/3kNSbNKmbyvFI2vrZ3mCEBMG/VZG781Mr3RKzoQqCvM0h3a++ZDxwBuaVZ+E6TwHpOITRUxzKElI2iLSUefhzFcSmSkoesTgFULKv95BMAC5AQUmpyRSenIymVp1w4gWUcQUg+FG3eoDGgaAsQUgpW4jDYMTiHRoIqaaTqSVelJunkuZKJsIYVp8BVRYFr0iAnwqlwj1K2qcuuEbf/pcC040TNNjJdl5DuXIwsnBwfELJcK8lyrcTGZE/ndwkb9XjUUhqCT5HhXEKB92YiRjO7O/+FTNclOJSRk1sloZHpWklz+BXSnUtIdy4CkmNPe/htZMlNZcqXkI4/KxfpokIIQcDrZGpZDofq21k2s3RQZ+HWy2byw0feoignlS/dtgyHpjKzMo83thxm6cyy05RlJ8kQ+sNRFuUWU1GQgRAwuTSb9ICbRVOL8XkcxOIG7+46xlfuWEFmiof7n3iXHQcbURWZpTNKmFGZR2tXP3uPtbJsZikAtV09/OCVdzjS3sXS8mJunj2Fdw7X8tGFs1DGWVJ/seDdjj1UePKYGihJ0lq3NfNG3VEEUN+fHI/bwkFS9NGrsM4GE5q9u1v7+OFfP0BnUxfLbpqH0+Pgxd+sGdRa8KV6kvGlZ7dy5ceWE8iceAnNSHDqKtUlmRxp6CQvM6nVcNPKaTzxxi627KsnI8XDx66bz6ULKnn81R1kpXmoLslCkSVUVSbN7xrRahdCkJbl5yN/cxV1h1voaj0RSujrCvHgD17gzi9fwe9/8MIw0qPCiizuuvdKXB79z9KLYNs2wZ4QfZ3BCZ2fX5U7bi6HiUIIN4iBF0ZyAwJJyiQ5ESiABPbxPBIZzX0H0d4DhLo/h6ovQXVcj6xOHjAYTl4NKQgpHduOYJmNSEpSQdEyG8AOI+RULlQET5E0yr1jU9Y7H0jmcSRLES3LxrbswaoD+/hfM7lt6L4T29rqO7DeAwZWVfJR5v8UTcFnaQm9Qp7nBtKdi7Cx6I5uoT2yjoTVTXd0OxnOpQCEE3X0xfbRGd2AbSeroCx7dHn70yXsRY0WXEo+8mlKay9KnBShEkKQ6nMRDMdxOdRxJQkKAVcurmb7gUaeeHMnZXnp3H75rGFjcsI0sS0bp64gBDh0lUgsSQqmqQqSEOiqQvwk1tw/bd3DrMI8rp9Rzfqj9ThUhV2NLYPejQuBWDhOeBRSPN2lDSMBi5kJHqp9bZQAoM3e3lrKPSeqi3LcXvK8fsKJOGnO5DNU5Asw4zyUP8IER7S1z2ymra6DL/znR1h+ywIObj2WNBIGIMkSpdMK2fbGHiLhKIEJ8ruPBMuyCUfjtHb1s2xWGepAh+dm+PnCbUuHHHvJrDIumTW01CzgdfKpmxad9h5VM4u440ur+eV3niIWOUFetP3dQzTXddJa3zXkeKdb5yNfu5riSbl/lgbCcfR1BYkEJ8YIWViVM2YOCwDLtnirvoYSfwpFvnFSZAsZBt3pA+cNyy4/8Uqq+qVIqbnEw49hRF8jHv4jsjYTzfVhNOeNCHF8pS6hOW8gEXmeSN+/oTp2IIRCIrYG2zbQnLeCcJ4VXfGIX+cCPFND2mwnhcr6u0P0dvbT25H8L9QTIhKMEQ3HiIVjRMNx4tE4ibhBImYk6cRjieTn4/8+vv3kfQPb4rHEhPJbzgVSHXNJdcymNfwmR/t+TZpzHnGzm0M9P6My5Yv4tCr2dH5n8HiXkodHKyfLfelAwqeEKp15XEuGdYYyempyOv3xA1h2HHESIdTFPHa4HBr9kRi9wSjOAdK6P7y6nZtXTudwQzs7DjUyZ1IBDl3FME06ekP4XDqOEQjubKC7L8K08hx8bgePvrqN2y+fhSLL6KpCc2cfiiLhdmjkZPjYsq+eSSVZHGvqZPnsMt7aepgdh5pI87upae7iktknxvjW/iBXTq0cLJGVhZQ0Si9ILyXx1P++yNuPr0MIiIZiyKqMbdloDo27vnUzeRVDJ/OEZbCz5yiXZM4Y1Pg4GS7lBMGeEIJst4cby6sRQpB/FhwWY8WEjIQjO2rJr8xh2tKqUR9sb4qbSDB2zlcKnb0hfv/8ZvKzAkyvOJEUcy5fMFmRWX3bAg7uqOO1xzedGEBthhkIsiJzzUeWsuDyqRdspfxeobOpe7zCnEDyt8ktHV/po21DbW8PKQ4n46/IH/t9xIA4iqxMxun7JrbnHozYemKhXxPp/UcEEprrQ4PHSkoluuceov0/xIxvAKGjqFNRfX+PrE5FCEHCSrC56x0kIXArXnoT3RQ4SzjYvwfDTrAofRVrO17FITmwsJkZWMDajldxyR58aoDpgXls7nqHoNFHlXcaJZ7K81KJYCRM+ruC9Hb009XSQ+PhFhoPt1B/oImW2g6ioShGwsSImwMsh8c9B9Z7NrmfC0TNZpqDL6HKPiJGM26lEJAQQkGRnPTF99MfP0g4cYJiPc9zPcf6foeNhUBGFg5yPdec8V5etZzm0MvEzC5SHbNxqflkuJbSHlnD4Z6f41CykFDJ9VyF4OKthspK9TClJJuf/PEdVs6pICvNh1NXuWx+JbMn5fPyhgNMKs7C49JZMaeCnz+5jpmVeVyzZPLwi9k2u480s+1gA5qi8KGVSY+Ypspcf8lUnnhzJ2l+N5+8fiG3XzabJ97cyca9dayYU05hVgqKItEXivLAsxuYW11AUfYJfpLJ2Zn8aetuJudk0R2O8Nr+I2T5vCgXcGxe/dHlTF1SxXM/f5X8ihymLq0mEozw6u/WjEj1LUsSKzJncn3eohGTPB2yOljhAAMEbm4PO9tbeKv+GMbANbPcHq4qOTVEevaYkJFgWTaycvrElFBPGIdLm1gd9GmQkeLh3rtWnNNrjgTNoXLHFy+nZn/TENrmUzFtYRk3fnL5n0Uegm3b7Fp3iL6uIIuvnjnk97Vt6D6lkmOs0F3aMEloy7YxLAshwLQsJCGhSknVN8u2SVgWt1dPQ5NO6CYk9Q7AsCzMAb0DVZaQR0keG+t3BnsgrKAh5FxU501ISjGhrk+RiL2J5rqZ44aHbXURC/0OzXk9Dt99CDF8YBeAaRt0J3oIGUGcshsLC58aYHfvZgwrjmElWJF9M6+0PkXQ6EWXHFySsZo3218kaobRJZ2IkGmO1lPirjzr5OxkeMDGiBs017Sx4629HNlRR9ORVlpq2uls7r5oBcXONVQpBa9WSczswKdVE9BnIJDRpBSqUr5CX3w/quRnStrfoQx4C/z6VCoCn6U3vh8BeLUqxBg4/Aq8H6IzugnLjiIGvFkOOYvJad+gJ7YT047hUYrHdK1zAcOyePXgESoz0ilJHbuHTlMVPnzlnCHbSnLnA0kvw19dt2Bw+zVLJo9sHAxAkiSuWlzNVYuHl4XOqspnVlX+4OecdB+fv2Woh1iRZS6dV0Fl4fB8kBtmVvPAu1v5w+adROIGXofOxxbNRJKSOUcXosohkOUnqyiDruZubvzClfgz/VimRWp2gJ62Xgqqhmo3OGWdG/IXj3gtIQQL0qrRTsk72tfZziP7dzI/Ox+nktznUiZWNnomTMhIKJ1awOZXd1G7v3HEfIO+riBbXttFydQCXL73WdxtAEIIcksy+KtvXD+i9DMkqY0/9a0bSM0amV/7/Yj6Qy201ney6MoZDEmAt2162ydmJDjdDpyeoZoUx3q7+cGmteR5fdT29iBLEl+es4iKlDRaQv3cv30T7zTU8k9LV7H0JJKQN+qO8sTBvcRNE4ei8FfT5jAz62xicYlkeEGtQJJyQOjYdhgzvgPbDiPJQ19o2w5jW92Yid3EI08ihAMQCOFGUsqR5HwkISMJCbfspd/oIdORy+HgXtK1LDTZgQ04ZGdSTREZy7ZxyMnkOQlBa7SZrngHbsWLdJZVCLZt09vRz6FtNexcs4+tr++m8XAL8WgCMzFcevwvAYrkJMO1ZIQ9Aq9WgVerGHGfRyvDo41P+VCVfWS7Lx16JSFwKjk4lfMTQz4dGnp6+fsXX+VrK5ZSkhq44Pc/F5hckjWqpoPf6eCLKxfx6WXzsElKg0fMg9T2PkVJ4BMXtJ2TFlTwy28+REZBGrFInEh/hOW3j2wMnAzDMumM9xE143gVJynaCDLk0Qjzs/O5tWraeRevmpCRsPCaWTz501f4xd89yi1/fRWaM7ma6u8OsX/TEZ78ycsc29PAR751E56A+wxXu7iRW5KBqo/cTd6Ai7QJSEq/1zANk1B/FK/fhZAE8ViCeCSB2+8cdlywN4Lb50SSBMGe4YbSWOBw6zjcQ19qy7bZ39XBjRWT+cTU2TyyfxcP7t3BPy1ZRY7by30LltEaDg660iCZwfvLnVv48OTpzMvOJ24aBBxnaYTaJrHgT7GJIUkpgAp2DMtqR1anoLnuYNCLYNsIoSNrUzBi72D2niRzLBSEnIPT948o2kIm+2YCgrgVxaP4yXbkETFDLM+4Cp8aYFbKIkAwK2UhLtmNX01BlVRmpSzCrXhxyk5kIeNVA+P/SrZNIm7QUtPO2qc2s/GF7dTubyTUEz67vvoA73tsaWgiFI9j2e9fr9HNK0dP2BVCoMgCRdaS3jM7jmI7SXMuBASWbWDaEWzbQBI6lh1DlXznhaNi9UeWUza9iI6mLjRdpWhyAem5p9fY6U+EeaTuDQ72N2DZFpqksjRjGpdnzUaTT3gK8rw+nji0F8uGdJcLCUFAdzAne3SFyYliQkZCZkE6X/rBR7n/m4/wvU/+FCEJLNPi+5/5OUbCRHOoXPWJFVz5seXva1ricH+U3//XC8MIk46j9kAzf7r/de669yr0M6h7XUxoONzKz/7+Mf7+gc/gdDvYufYgLz/8Lt+4/1ODx5imxdtPb2XLG3v4xN/dRGqWn0hwYnTMmlMdUf3Mp+nMz8nDq+ksyi3gx1vXY5NU51MlGeWUMML+rg4cisLlReXoysiPrqxOQ3PdjiQlX0ZZLkR3/9VAdQNISh66+3YkZUBTQzhwp/4EI74Fy2wCO5b0CqjVKPoShDjhKbOtFkLdX0QIHVfgh0hyLkkDwsBM7Cfa/9/Egj9GSZ1FQEsb0i6XMtRYzhgoa0zXswb2e4Z8LnKPT9jmOEzDYv+mw7z52Hre/MM6+rtC5zyR8v2MWDTB1ncP0dnWT1ZugFmLy7Ftm61rD9PZ1kfV9AJyC1M5drCVtqYesvNTaKztpHp6ATmFqezfWc+xAy3kFaUzeVYhiiqzf2c9R/Y1k1ecztQ5xbQ19dDd0U9zfReqpjBnSQVev5Omuk52bjyGx+dg9pIKXO7zqwZ5KhKmyab6RhJjkMD+c0E4cYzavt+hSH58+mRCiSPU9D6AZRvocjpxs4N87+2kOuee+WLjRMOhZtY9s5lQb9I43/jCNm780tUUVI3OjLimfRcxM8E3qu/Eq7pojHTyiyPPU+XNp9x7wgAQCIp8AZpD/bSEkuqPeR7fxWMkSJJg1oop/MNDf83657ay8539dLX0ouoKhVW5LL1xHlMWVZxRFvNihmVZvP7EZtY8s23UJC3LsnnxoXVUTCtg6TUz3zceBRuGcDzYlj0sHv36Yxs4sK2GT/zdTaTnBLBMewgT5Xggy/Kwsh9IxkeNgQksZpoo0ki5vSegSjKmZRO3TPRRHl1VX4yqn3DpyWoVTv8/nPislCF7vzr4WQiBrE5GVkePoQ62N7YOM74Zd+rvUR3Lhn5HpZxE7DVsswnb6kfI50fbfTSYhknTkVae+N+XWP/sVrpaej8wDkbA9vVH2L25lnmXVGIkkiV2b7+8m9rDbVTPKODph9Zx+Q2zef4PG6mcls/rz25n1sIy3nxhJ3OXVvDOS7uZs7SSDW/tJxqJ4w24eP2Z7SxcOYlt6w4TCcYwTYtnHl7PzR9bwpF9zXR3Blly6WSefXg9MxeW0VTXxbMPb+Dmjy0577lMoXic1w4dZWdTM/vaOtjXlqSd/+m6Tfxh+1DNmUVFBXx1+RLUk+iLk+yUJvvb2nn5wGH2tbUTisfJ9LhZVFTIqvJSsryeYS7vX2zYwov7D/L1lcuYlJnOW0dqeOPwUZr6+lFliSlZmVw5qYKp2VlD7ncclm3T2h/krSPHeLe2jtb+ELoiMykzg8sry5mWnYXjDOJgQgi8+iTyvDfRGno9+X2wkYWLXM+ltIXfJNt9FcH4gfNiJDx3/ytMv2QyeZU5g4nHabnDBepOhmmZVPsKB0MMuc5U8pxpWKe8y2WBVG6pmsKahhoiiQST0jKZdx4MBDiLom5JlsgtzeTmL13JzV+6ctj+98uEORJs2+bAtloe/fErxKOJ0x7b3xPmt99/ntLJeeS+T6mYT51K9mw4wrrnd3Dvf3+E9MFwioURn5jK2GhCPqFEnD8e2M3C3AKePXJgsM7XsCz64jGipkFfLEYoEcepqExOy8SybX63ZzsrC0sJxeNkuFwU+U//4p0r2HaQZG8ZwyZgy2zFMo4gyXmIMZTGnbs22cQicV76zVs89ZNXaDzUcsHu/X6E2+ugvaWHvt4wc5dUYNuw+Z1D3PXZleQWpdHe2sfOTcdwunVmLiij5lArc5ZU8MLjm9j8ziGaG7vZsfEobU097Nh4FI/PyYwFpcxZUoHH5+T1Z3dQPaOAqmn5zF8+iazcFJ59dAM1h1o5sLsRRVWIRuI0N3Rx5S1z8QXOL7FVVzjC4zt309ofxBxIFoakVyGcSAwxyuPm0ByV4wbCT9/dyO+37qAvGkWWJDRZZkdTCy8fOMyfdu3l/1u5jHkFeUPGvpb+fnY0t7CtsYlHt+/kpQOHsWwbTZaJGgYb6hp4Yvc+/uHyFVw1qXIIz4Jt22xvbObbr77BvtZ2BEm554Rpsr62nsd27Obj82bzyflz8OjjrwhRJA+y5EGV/MiSG5P4mU+aIKZdUk1KVmDMx5d4snmk7k26E0G8iovWaDfHQi0c6K+nLtKGX3UzL7WK2r4e7t+xiakZmWS43Lxed4TmYB+3T5p+zr/DWTG/vB8nxLGgo7mHX/3rM3Sewi6YmuXnqjsX8eQv3yTUf8L13ni0nQf+/Tm+9K+34Q24Lvp+EUJgDxDb2LZNsDtE4iQDIDXLz7LrZvPsA2+RV5qJf4ApcaLZ77IsISvDjYR0lwtJSPxm9zYKvH7umpyMNb5Zd4ynDuzFsCxePHaItY11fHnuInLcXv5+8Qoe37ub7774KpXF2dxRPW3c7YlG4kSCMVIyxscAqWgLEXIBkb5/RnPuRpKLAAPTOEgi+jK2FUL3fWLEiofzAdu2aTzcwoPffYp3ntx4RoP2A0D1jEJ8ARfvvLKHrWsP84l7V2MPVGsBKLKEYZgoiowQoGkKiKTX0DQsZi4oZe7SZJmZw6Xxwh82oQx4ySRJDHodvQOEbUIaoGg2TIrKMll90xwkWaDpKm7v+fc25fq8/PDGa7Asm75YjL9/8VU21DXwV/PncNPUoSJfmiKjnDRZG5bF77Zs51ebtuDVde5buYxV5aU4VZXG3j4e3b6L5/cf5FsvvMpPPnQd5elpw+7/y41b0GSZzy9ewJWTynGpGo29ffzPO+vYUNfAT9ZtZGZuDnl+3yCT46GOTv75ldep6erhjpnTuGX6VNLdLuKGyetHjvLrjVu4f/0mvLrGJ+bNHvd4e+L48ztOBzL9/Nenf8rkRZWoA3wRy29dTGZh+qjnJCyTTD1AU7gTSXRj2CZ5zgzqwkkPULYjlXmpVRzt6WJ6Rha3T5qOAJbkFfNfm9+5eIwE07QwEyaKlixPG6m2MxE3kIRAVuWLftI8GYm4wZO/fGtEXYYbP7mcq+9eTDQS58lfvok5wAFh2zbrX95F1cxCbr5n5UX/fb0BF7pT460nt5BdlMa7L2zHOCnTPac4ndV3LibcH+HR/3mJu79+DbpTO/ckQQhumzQVr3YiNmvbNstzi0ipN5g8uxjdqWEkzEHW2hJPgE+XzWT9MZWr5i/EMi1Mw8QmaYyYhoWQBKZhIklJ4+TkEspE3KSlrpOj+5tZdlXyhZJkaZAJUJKTIQ/LspGk5LN93AsiKaW4A/9FLPw7YuGHsa0ehFARUhaKtgDVeQOKNpcLUWZlWzYHthzlJ1/7HQc2H72goQUhQAyUqwpxnOb85H8n/6q6isOlo7s0HC4dh0tDd2noLh2HS6envY9tb+yZEOdCKBTjwUEOE4FpJUtihTieYCq447YFpKYMzQVpaehCUWUWrazm9//3GkIIKqflsf6NfcxdVsmBXQ3J0MH6oe+/QDB5ZgHr3tzPvGWVxGMGDpdG5bR8tq07TElVFjs2HqOoIhNZloaxLOfkpxKLJohF47i9DqLhGJJ0/mnKZUkiZYCVT5GkQde+W1NJc42+oLFtm4bePh7augOAzy9ewJ2zpg+GFXJ8Xqoy0gnG47x2+Ai/3bKdb126fFiuUCie4PMrFnD37BmD9872erj3kiV8+cnnONzRxbHubvL8Se+bads8vnMPB9o6uHn6FO5buQyXpg2+UR9LmYUkBN959U0e37mHa6qryPKOrCxr2xbNoefoCK8hbDRypPtnBBzTESRF0CShJP+eJ5bU6gUVQ/IPbNtGOYNEwezUCmallGNhYdnJ/KxThZ4A0pwu1jQcY19nGx5N5+2GGvLOE7HShHpn1zv7eeT7z/Cp/3c7ZdOHU91EwzF+9OXfkJod4O5v3ohjlHKViw2WafHGk5t56ZH1w/bNWzWZ6z62FN2pcdvnL+PQrnp2vntocL+RMPnjz96gpDqXWcsmXdTESimZPj76t9fz1pObaanr4NLbFtLZ3ANAXmkmHr8Lh0vjhntW8eyv3qLxaBulU/KRJii1epy+d6yoO9zKW89uJxyMkV+awea39uNwalTNLGTbO4fQnSq2DTvWH+bI3ibyitOJhGLMW1nN2hd3klOYxsGdDZRPyWPGojKUgdhlb2eQFx7ZgKzKpGX5+P3/vExRRTalk3Lo7QpxaHcDXr8Lp0fnyJ5GCsuzKJuSR3FlMslQCAVZm49LmwV2ghOBGgmECpx7MbORYNs229/cw4/v/S0NB5vP6710l0Ygw4c/3Ysv1Ys31Y0vzUtKph9/uhe3z4nL58TpdeD0OAcMAX2QI+Vko+G4UcHAZL7xxR3senv/EC/WWCFJEjnZSRXPnt4wW7fVMnNGIV6vg/q6LvpD0RFFffp6wrzz6h6EEFx923zcXgdX3jyXl5/cyvN/2MSiVdVUzygg2B/F7XVQOTUPt8dBxZRcZi4qJx43ePqhDbjcOpddP5PZi8qIReI8+bt1FJVnsvzK6dQfa08mMgtwe51UTSsgvySdG+5exFsv7MK2bRasmERe8egryosBG+oaaOjtY1p2Fqsry4eZvh5d4/YZ01h7rJa1x2pp7O2jNG1o9n6G28VNU6uH5B0IIShNSyEv4KO5v5+m3v7BfeF4ghf3H8Shqlw3uQqXqg65ryQEq8pL+Pc33qa1P8i+trZRjQQQZLkuJ9O1iuS7KiEJjRTHbATKgKiWTMBxjunNbWita8c0LHLKsimbUYysSBzYdHiAsTYw6qmGZbKl6yCbuw/SnwiT6UjhkozplHqykU5K5J6WnkVvLMpv92wjZppMTsvkI1NmndvvMYAJGQl71h/iyM464tGRX26HS0fRZNY/v42bPr/6tEbCaGOqfYEzcG3bpv5wKw//8OVhugwFFVnc8der0Z1aMhkmxcVdX7mSpmPtdAxMrgA9Hf389j+ep6A8m8y8cx8nH93qH19fCSGomFFIxYzCYftmLps0+G+318ntX07mm5iGOeEkK9OwBr0ux5Hn8fLNhcsHiUBObltOYRoVU/OZv7KaHesPM3lOMR6fi9ef2kJxRTbVs4tZ+/IuQn1RFFWis7WP1EwvNfubycxLISM3hdpDrcO8XM31XZRMyiEt20/94eT+5dfMwLJsGms6UBSZ5vpO/Kke/Gke9u+oY8GqycPaBxpcoJDCqbAtm73rD/F/f/P7c24gaA4Vh9tBdnE6lbNLKZ9ZRG5ZNr40D26/C7fPidPjOGcEaSOFoMYKp1PlhutmA/CnJ7dwzVUzWH3ZFIQQBINRfvaLNwmF4/j9Q2P+1TMLqZ459Ll3unVuuGsoVftl1ycH3MtuSN7j0oHPi1ZNZtEpz8TS1VNZunrq4OeqaSfIgDKy/Vxxc5KEqHJqPpVT83m/YG9L0sWd5/eR5h7udRBCkOv3kuFx09TXT2c4TElqypDjytJScWvD3xVNltEGDIeocWIeqe/ppScaJWFa/GDNu7jU4cnvcTOpNBkzDLrCo9PECyGQxUghneS0d5zA6lwTWYX7Ijz6b0/iCbjp6wpSPLWA1R9bwdGddeSUZpJXPjo/xraewzzbtJ5LMqcTUD3Uh9t54NhLfKHienKcJ8I5MdNgZmYOi3MLMe0k7XQwfn5yKyZkJLQ3dJGem0JK5sgkQkII8ityePuJTcRjp4+TKqoyzDtrA+HgxDLpJ4rerhC//t6ztNR1Dtmu6Qp3/vUVlE/NH0IBPWVeCbd8bhW/+JenhrjqD+6o4+EfvsQ9/3gTznNc4qRqyoBVNdQ9e0H6Sgh058SqVUzTxDSGJkW5VI3pmdkjHq+oMomEyd4tNaSme9mzpQanW2fqvFKO7m3CtmsI9oSJRxOkZvqIxwymzS/jpcc2suDSyQghSEn3Unu4lUmzCnF5koNAWqaPnRuO0N3Rj+7QUJRk1UWoO0T9kTZSM33Eogn6ukNMnl1MZ0vvRcek2VLbzk/+5vfU7Ws8Z9fMLs5gyuJKZq6YzKR5ZeSWZSPJYsjzfjEjFIqRMExM00JRZGJxg/b2/mEqrR9gfOgMJ0v3UpzOUQl7nKqKS1MxLIveyPAS6RSXc+Q5Ysigf2I86wyHsWwb07I42N4xKh25U1VR5QvDoDheRENRFE3hrr+/BSHg2Z+9wh/+4ym8KaN5PE7gWLCZVVmzWJGZ9G7MTCmjJdpFdzw4xEjY3NJIQ7CPOyZNRxUyzcF+frFrM3+/aOU5/z4TMhKMuIGsyKflQNCcGvFo4oxuZl+Ke7hr3oaGI63MWT5p5JPOMYyEyTMPrGHLm/uGbJdkictuXcCi1dOGPeiyInP5LQvYte4I7764c0hM+K2nt1I+rYCrPrzonNJS+1LdwzwvlmXTeKSN6tnF5+w+I0EATs/EiIvikcS4kupUTWHVDbMxDQtfigt/mgcBpGT4KJ2Ug23bzFpagWkkhXMURSYWjaPpCrmFacRjCSbNLER3ajhP8mKl5/hZdUMy0Ul3qhjxpOHi8bu4/ENzsSwbRZWxbXC6Ncqm5F1UZbyh3jC//fYfObT92FlfS3dpFE/O54qPLWfmismk5aagOzVM22JLZx3FnjTSHZ6zory+UFi2tJKf3P8Ge/Y24nJqdHWHKClKJy31zIPyBxgd6sDYZZzGU2nZ9gkxpRFo+sf7/Bw3Rry6zo9uupZMz+hkfEIIMtwXn+y55tSQVZlwX5hApp9rP3M5b/9xPU/++EXKZhaf9txSdw5bug9R5slBlVR6EyF6EyFM26Il2oUqFNJ03zCuC0WSCCbOz2JxQkZCarafbW/upb87REZB2oiJi42HWvCkuAfjwaMhqzAVWZaBoZPItncOcuWHF6Hp6nldydi2zfa1B3n612uGeAQAyqfmc+vnL8XhGtm17PTofPjeK6g92EzDkbbB7ZFQjEd+9DJVs4oom5J3ztqfU5Q+TEnRMi22rz3IJdfPQtXOb0x8ohTb0VCM6Dg4FoQQBNJODPAZOYHBf6dl+YcdH48l2LetlkWXTUFRZVRNwe0d3lZJkoZc68R2MeJ1nRdRLo1lWbz9xCbefWbL8JrV8UBAQWUuH/rylSy9cR6egHvIMyMQmLbFxo5jaJJCtT+HAnfKRe1NKCpM476vXcX+/c2EwjEyM31Mqc5FPcPY8wFOjxxfMrGyIxTCsKwhlQ8wIB8fi9Mfi+NQFALOs6/WyPS4kYSEjY1DUUasmLjY4fa7uO6zq3F6HEnVT4fGyjuWEsgMDFOAPBVx22Br9yF29hzFpTjojYdQJJmHal/HxqbQlcnnK66n2J/CM0f2o8syPs3BO401TEnLOi/fZ0Jv0YxLqnnyJ6/w3K/e4OP/eAvelBMDjWVa7HxnPxtf2kHl7BLcZ6gDTsv0k1OUzpE9Q0WU9mw8wtvPbmfVTXMR8vkZoI7nIfzme88S7B0a2/IGXHzsvmvJyh+dRlMIQXFVDnfdeyU/vO8RouETMaGO5h5+/a9P89X/vOucaTtk5ATIyk+l8Wj7kO2b39zHptf3sviK6efP+yYYLIUcLyKhKJHQxNgaxwJNV5mxcGIMhe8XdDZ188cfPj8uY+tUaE6Nlbct5I6vX092ccaIXi6BIMvpI2zGaQr30hzpZUogl3npxWfR+vMPy7TRHQo+n4OK8mx6eiOkprjf14yv5xpCiMGVetw4s27H/IJ8Hti0jZquHmq7uylNTR02ju1va6ctGKQyI51Mj+esx7mCgJ+CgI8jHV28fayGaTkjky1dzBCSILdsaChVkiXmXH7m8sTZKRVM9o2ueysP0EeX+FP4wqwFvFxzmGO93SzMKeCSgpKza/gomJCRMHlhBXNWTeWVB9+hta6TmcurychPIx6Nc2x3Peue20aoL8IVH7lkxBXdkAaoMgsum8KRvQ1DVkjB3gi/+ffnMA2TRVdMx+nWk2GJZI0Ttj2gbGfZ2JaVjEeqMrpj7All8WiCR3/8Cod3DzVQFE3m2o8tY9qCsjM+9JIksWj1NHauO8xLD68bdL0B7Hj3EE/9eg0f+/rVIzIOjhcOl8bcFdXDjITeziC//M7TxKMJ5q2ajO7UTt9XhoWqK2gjaL2PBoEgZQQxr7EgFo4T6gkPlqadDUzLIpowsAGnqgxzcRqWhWlZaPLIpbemZQ2KQ53L1XHMSJb8no8BzbZtXn/kXerPIlHR4da58QtXcNvXrsHtG91wN22LA70tlHjTWZFVSXc8TGO4Z8L3vRBobe3jf3/6GsFQDIeu8tdfuIwnnt7K7bfO/yDkcBJ0RcY7QD60q6WVhGkOZVckucY4nvA7NTuLmbnZbG9q4bEde/jrZYtwDpQ4WrZNU18/Dw6USC4vKz5taGDMbZRlbpo6mf98ay1/3LWXWXm5LCwsQDlemmzbWLZN1DDoiUQpCAz3AL6foUsqAkHCNji5qtmlaIMGAiTDMhUp6VSkjL1CJmHFkYUypEpiLJiQkeBw6Xz23+/iwX97inXPbmXbG7uTRBgANhRU5XDnfdex6NrZw9zjp0JIgqXXzOCtp7fSeGzo5NfR3MOPvvEHHvvJ60yaVURqlg9FVUjEDaKhKP09EXo7g3S39xHsi/Cpb93AihvnjHKnoTASJs/97h3WvrBj2L6ZSyq5+Z6VKNrYBnzNoXLnl1ZTs7+JfVtqBrebhsVzv3uHimn5LLl6xqjS2mOFrMisuGEOa1/YOaSqAqC5toP/+tpD5JVmUDm9kECGL5kAGEsQCcXo7wnT2xmkq72PSDDGl/71NuZfOmXsNxeQnjcx159t2zQeaTknRkJTXz+/2LCF9bX1/MuVlzK/cGi2+DtHa9nW2MSXlw3XZgfY1tjMrzdt5Uc3XXtGp0tjbx9HO7uYV5A/SAHbF42yvamFvmiM0rQUKjPSUSSJH6x5l4r0ND40fRx9Oka0N3TxzpObJsQnAKBoCrd85WruuO/6MyZiSkKQ4fByuL+d2mAnSzPLmZ5yfjLyjxuvZ4s31+xnxvRCLl1ZzQ9+9DKKKhMMxgiFYh8YCSdBk2WWFBfx8oHDvHzgMD5dZ2ZeDrKQCMXjZHs9LC0pQh54b9LdLr68bDH/33Mv8dst26jt6WF5aTEeTaehp5dn9u3ncEcX8wvy+fjc2efEQBZC8KFpUzjY3slTe/Zx71PPs7ysmKnZ2TgUmb5ojJruHrY2NjI7L49/u2b1Wd/zYkJDpIP7jzxLyIjREu3Er3owLZO/n3o3Ba7h0tjjwXPNj7A47TIyHaNrR4yECRkJQgiyCtP57Pc+zNWfWEHtvka6WpPaDbklmRRPySerMH1Mrj4hBIUV2Vz/iUv45XefHpbgZhoWjUfbaDzaNsoVktB0dczZzLZts39bDY//9HVikaH3yy5M48NfuRK31zHmCU0IQUZeCnfdeyXf++Jv6T9JbS/cH+X3P3iRwsocCiuyzmqSFEJQPq2Aa+5ewoP//eKwHAojYVJ7oIXaA6en5nW4tAllfvszvOhOjVhk/KU2DQebk5PcWXp/8/0+7luxlK8988IwPnOA6bnZlKSNHkO3bJuYcfq6fNu2OdjeyQ/fXkdPJEL1TRk4VIWYYfDwtl10BENkeNw8sWsvn1s8nzn5ucQNc4hi5bmCbdvs23CImlPCcWOFkARLb5jLDZ9bjTIGYrOEZbKh4xgx08CnOuhLRPGo554Z0LZtjIR5TioQYnGDtDRP8vuRDHmapnVaoiAbC+kcKf9t6nqVXEcJea7xyUhfaAghuKKqgm2Nzbx88BAPb9/JI9t3IQ3wV9w6fSqLiwsHCwKFEMwvyOfbV17Gj99Zz7qaOt48fGwwedqtalw3uYrPL15Aquss1VhPumeKy8nfrFhKutvFs3sP8MrBIzy37yCWbSMLgabIeDSdgsCFoz+/UNjWdYhJ3gJWZs3igaMvckfRKl5u2YIijntwLMJmCMOKo0k6TtlNwo4TMUOAwCW7UYSKjUXQ6MeyTXTZiUNyYtoGETNMT7wTh+xEl0auPDkVZ5XZ4/I6qZpbStXc0mH7xjMZyorMlR9eRF93iD/d/8aEhYTGAtu2aW/q4df/+gzd7f1D9qmawu1fvJyqGYUTmsynL6rgxk+u4OH/eWnIBF53sIXfff957v3+nbjGYXyMBEWVueGTywn1R3j6gbcvGBWvEAJvwI0v3Ut7feeZTzgFtfubhqyEDcvi7aM1FKekUJKW5JQ41tlNTXc3S0qKaOzpZVNDE6FYnJK0FBYWFuBQlQEpWGlwtXMclm3zwr6DNPT2UZWRTlFKAEj+3n3RGK8fPko4nkhe4ww+BBt4bMdu5uTnsvZY7eB2TZb58OzpOAdCFXHTZENdA7PzcxECeiJR/rRzD+FEgvmF+VSkJ5N61xypIT/gY3dLG92RCEuKCylLSyVqGLxbU0dddy8eXWNeQT5FKf4hz4dl2mx8cceEf+e0nBTu+uZNeFPdY37ushw+4pZBZyw0oiF2rpCIJSbsHTkZc2cX85vfraW9o5+29n6efnY7iiKRkjKy+7s30UF7rIkK77kh0fGp6Tjks3e1Xwh4dY1/XL2SG6ZWs6s56RHTFZlMj4cZudnDwndCwCUlRczOzWF9XT1HO7uIJAxSXU5K3H4StUFyXMNzERYXFaIrMlOyskYsn5QlwTXVVUzNzmRq9vCEuwy3i6+vWMrtM6axtamJpt5+YoaBW9PI9/uYlptFnu/Pz0iIWwb5rgwy9QBuxUlA8+CUNbrj/WQ7UjgW2s+Ono04ZBfZjnxmBhbSFKllX992wmaIXGchC1JXcCx0kG0963DLHvKdJUzxz8a0TTZ1rcEhO7EwuTzzJpzKmZ/bs07/PVdxXU1XufVzl1JUlcMff/Y6dQdbxmUsONwamn7mrxOPJnjs/17lwLbaIduFJLjkulmsuGHOhMsWVU3h+k8sY++WY8PKKTe9vpdnf/sOH/rMyjNWfJwJTrfOXfdeSVFVDk//eg11h1rHvroXyfPVM9CDjgRvqoeUTN+EjISWY210t/WSkZ8MWUhCUNvVw9aGZr5yySIkIXhs524y3G4uKS1md0sbkXgCl6by8/WbMC2LVeWloz5vApiUmcG+1nZePniYFeXJJJ6YYfKTdzcSjMeZkZvN64eO0hc7/XMlgC8sWUBvNMq6mroT24XAqycrHuKmSWt/kFl5OQjAtGxePnCIG6ZWE00Y/Mcb7/CPq1eSH/DzxO69WLbNgsJ8HIoymFPx5O59bG9sZklJIa39QTrDIYpShsZYY+EYu989MO7+Pt7eKz52CfkV2WN6T82BfI5LsioIGTEawj2k6edp8rMh1Bc+83FjwKSqHO64bQFvvr2ftFQ3mq7w8Y8sxT1CVVJvvJNdvevpirfikj04ZDepWtLD1x1vwyG76Ev0YNsm6XouNhZ9iW5StAwkIZOw4vQmOknVsrCxaYs24FX8uJQTSb1RM0zUDGPZJjErglvx41WSQmmmbdAT7yBqhgEbRdLI0HPPmVfjTBBCoCsKCwrzWVB45jDS8efG69C5vHJocnBjXSf/98xaZs4txekc2terKkpZVTF88Xgcqixz24ypo+4/ft+i1ABFqYEztvPPBeXePBojHUhCkKb7+NnhZwgaUVZmzgRgV+9mZqcsptBVjk2SijxDz0EPOOmIt3I4uBvTNolbMWRkqn0zydRzB2ioJab551LkKuf55j8QMvsvjJEwGoyEQUtNO1lFGWOekHSnxtKrZzB9UTk71h5i7+ZjHNnTQHtjN30DIkSSLKE7VLwBF6mZPjLzU8krzaSwPIsp80d/KAfbZZgUT8rhk393w5Dtiiozf9WUCRMGHYfb5+Qz/3gTW1ZM4tRFmDfgGkiwPP01kgyKFjC6e9jh0rn0Q/OYs3wS2945yL4txzi6p5H2ph76e0IYCRNZltCdGt6UZF9l5aeRV5pBYWU2FdNzse0ESf//UH0DMDlOY3ryPl+aZ1yKZicjFo5zcOuxIUbCpZVl/NNLr9PaH0SRZQ60dfChy6YgSRLXTq4aTFLqDkfY29LOqvLRf18hBGXpqZSnp7G54QTRUHsoxPamZn5ww9Vkez34dJ3fbtl+2rYed3mOxmBm2zbra+rpDEdYXJz0Olm2zdKSIj48ewaGZbGhroG2YIj8gJ+4YTKvMI87TuK+t2ybhGkSN00KAwGumlSZlMo+5fc+tqee3o7+kZpxRqTnpbDo2jlnzAs6jpZoHy827qYnHkGXFAzbYkogB6dy7tklbdums6n7LC4wVO58xvQCZkwvOONpzdEajoX2EjFD7OnbRKaeR6qWXMk+3/w7UrUsrIFB9vLs2zGsOM80/Zob8z6NX02jIXKYdR0vcWvBFwCbmtA+tve8wyUZNzDFPw+A+vAh1rQ/RYqWjCGHjD5uyvsMbsXHgf5t7O3dhEf1s6tnHbNTlnNJxg0XxEiw7aSomzhJiOr4v48/I9aA6JskBGJAu8S27cHEZyHEoKbJqddO7j+R+HghYdrWoI6HPIb7W7Y9IBt9cVW/TPUXM9VfjEBwbe5CtnYfIsuRQt4AkVLCiuOQXUmdEmTAZm3HK+iyE8NKEDeTY1aldxq67GR/3w5q5UMsSV+NQBBQ05CEjCTkMXsJz5uR0Nncw33XfI/vv/ANcsvGXr8phMCf6mHZtTNZdMU04rEE5kDs0rYZfAilAWVBRZVRVWXwgT4T3F4n13xk6dl8tTO2v6A8i4LyidesxmNrCYV+QUrqrzldTaMQgpQMHytvnMOya2YSjyYwDBNrxL6SUVUZRZOx7Q5C/f9JV/tWFLUSX+A/YCASaVlthPr/l0R8K4pajS/wvcE26E6Nouo8Nr64fdxu4ngswb71h1l0zexBT02210O218OO5lYM0yTP76MkNYVoIsGzew+wqzmZgX2wvZMlxcMppMeCmGEghMCpJvk2vA4d/SwqTWzbZkNdAw9v28mXly0a5I1XJIlsnxdFkjAtC1VO/oVkVnm21zvE7SqE4NYZU0l1Ofn91h2AzcfnzmZKduaQ57hufxNGbGIS3eWziimoyhlHmMHL9QUzeLZhFzcVzuStloNEzYnd+0ywLJu2uvF7pI6jty/Ct//j+YFkWOjpjaBrCpomEwrFcbk0vnHfNWRmDHVJV3pn0ZPooC/RzWVZt8JJ4jkJO05ATWduapLrXxEapmSQqmXSEDmCX03jYP92KjzTUURSm2Fh2hU0R2uGtS9mRbg86w4USeWZpl/THK2hxD2F/X1bmR5YTJlnGlEjRI6jGFW6MBTfh/c189Yru/no51bxix+8jMOlcfsnlvLb/3uda2+bT19vmGf/sIloJE5apo8P3b2I7LwUOtv7eerhDTTWdqJoMpdfN5PZC0/Ov7Bpbujm0V+/zZJV1cxdXH7BjYSXm/byTP1OYpbBzxd95IxJyc/W76Q21MWXqs89Q+HZQJFOjE0BzcOqrBN6DLZtU+KexLbudyl0leOQnRS5yulJdFKuTyFk9A1OF/Xho4SNflK0dLoTndhnQa5y3oyERMygq6UHa4LJXEIIVE2ZkFv8fMO2beLxdShKJbJ87kVabGLY1thXWePtK9tOx+P7GpHQw8Tjm4bsk6QMPL6vEQ79HiMxtPJDCEH5rGJkWcKwzlxnPeSeA6qFfZ1BAgOllIoksay0iLeOHEMSgssqyxBATVcPj+3YzT9dsYocr5efrT/RRvt4SScDq4GTrGF7cH/SAyFgUCCmMxTCpam09PcTjk8svm/bNvvbOvjdlu3cNXsGZempWLY9mIs5GnXtcUGjUy6GJASrK8u5pLSEB7du56k9+5iUlYFyklenpaYNYww17adCkgST5pWNS1xNkWT8qpNgIspzDbtoi/azKOPM3rlT0d7cgy/FnRQ5GgWWZdFwaOIlnW6Xzl99LGnsHznaxs5d9ay+bCoOh0pTcw9bt9UmZZ5PgSSkAbVIMWz1rgqNTEfekElbRqHSO5O9fZsp80ylLdrArMAlJyZBMfi/IUjVsnArPsDGIbmImmGEEHgUH23RBtL1XKJmGI8amHAfjBdOt05Xe5CerhBdHf14/U7aW/vo640QjyZ45BdruOrmOZRWZvPCn7bw9KMb+fS9V/D8H7dgGCaf/uoVNNZ18uiv3qakIrkIEkLQ2dbPEw+vZ87CMuYsKj/rKq6JYHXuZNJ0Nz89sIYTxZyjI2omCBkXlvr/rCFgRmA+9eFjBI1eHLILWSiszLiWllgj+a5SKrxTkYWCV/HTb/TgUfxM8s1EESrzU1fgV1NQhMLclGX4xvjsnXFWsW2bRMxAVqRx1fqHg5GzY4a7qBEjHPwVHt/XzouRcL4hhAT4ENLwxJ/BfWJk4qTqeWXoLg2jd3RhldFwaOtRGg4148/wDrokZ+Xl8uDWnbg1lclZSfdswOkg0+Pmyd37cCgK9d29g/u2NTazub6RY53dPLf3AHXdPVxVXYlhWrx04BDra+tp6O3jgU1bmVeQT3VWBldVV/Kvr6+hNDWVjlB4mJztWNETifKvr72FDbxbW8e62jrS3W4+NnfWGc89FQnT4pFtuzjc0Ylb12jq7ePq6sohhkYibtDR2D2h5D5JlqiYNX5yFVWS+UT5YlqiffgUB6n6aDK8A+7qEQyjtS/tYsGqyeQUjl4y298ZpPHw6atwTgdFlaielCzl2rT5GMuWVjFndnEy7FSayY6d9fT1RQj4h3NCCMSIpZdJF+6piXuCYvdktnWvYUPny/jVNNL1M5eQyWIEAwWJKu8s3mh7gj6jm1kpl5DvvHAVEYHUZLjz2KFWMnMCGIZJW1MPukOltydMS1MPnW399PWEiUUTHNjTSCJusHPzMcom5bB901Gi4ThtLb10dwZxuXX6esP87D9fZPbCMlZcMe28qt/atk1/IsaO7no6YyF8qoNZqQWk6G5kISU5Bk5O+rVtNnXUUORJJdvpJ2om2NB+jDlpSbKimGXwbtsROmMhJgdyKPWkX9TMogKBKmmUeqqGbM9w5JDhGMrkmKZnkqYPLZkscJ0w+PNdxWO+7xlHy2BPmB984ZeUTivk7m/cCMCj//ksO9/ef/rzesPjqoG2bYtEfCPRyHOYViu21YMkAri8n8MyWzCMw7g9n0EIDSNxmFDwf/EFvgsIIuE/kohvw7aDyEo5LvfdSFIWth0i1P9DdMdq4rE1GMZhVHUGLs+nwE4QiRw/L4SiVOF034UkZRCNPIVtdWPZYYzEHiQ5C5f7bmS5lHjsdSLhJ4nH19Pf+88I4UN3LMXpuhuwScQ3E408gWX1oqrTcbhuQZLSAZNEfDOR8JPYdt9J+9KAOLHIS0SjLyNJPiT59NSdJ/eZaRwlEn4U06xHCB1dvxTdeR223Usk/DhGfBc2CVR1Bk73HQhxduyPvnQvxVMK2PPuwXGfGwnG2PjidqYsrhzcluFx83eXrUASgvQBpbksr4dvXrqc5v5+nGpS9/54/Czd7WJGXg4z8pJ9pEiCsFHHjq6Hicgad835CDCgNaFHOdj7J26dfgOz83KImxbZXg+heHxMxJSZHjdfX7kMvyNZAujWVP5mxVIiAyWUphWjLvwcb7Y8wU0z7iDLnRx8VFnmq8uXkONNGlpfWLKAFJeD+tA6dMlDpnMqqixx5aQKmnqzMG2bFKeTghT/ECPBiJsTZlgUkkRO6fjqqg3LxCLphcnQvWzvqmdyIIcMx8gG42M/f5NJMwp59U+bh+Tf1BxsYe4ZdFcO76g9o/jbWOH1Odm6rZay0kx0TaGpuYeW1l7UUTghAlomB4PbOdi/Ha8SIMdZfNrrO2QnpZ6pvNX+JDfkfnKQjCZmRuhNdBE2+ulJtNEdb8enppz2Wt2JdjId+SxIXY0sZAw7gYp2QSYnl9tBWoaX3dtqyS9Ko7c7zKH9zQRS3TicKrIiYZoWkilRUJLB5IEqr6SeiY1l2mi6ym0fX0p6po9wKIZpWCy4tJKdW2upO9ZOcfnZ1fKfDlEzwQ/2vkLMMqjyZ9MW7aPUm0HKKMm1tm3zaM1mbiqcSbbTT8iI86vD71LqTccGdnU3kqa7SVgmLzTu5pvTriLfffrf7y8RZzQSjITBoW01Q7Yd2VXHjrf3JZnbRnm2j4vnjBWW1Ul/7//D5fk0TqWYvt5/RHXMR1WnEonvwEwcIZnMB7YdJBHfcUIi2U6gO1YjhINw8BdExKO4PV8EDBLxrZhmHbpjNao2j2TsXcLGGDjvSoTQCAV/BkLH7fksltlAKPRr3O57cLruJBr5I8G+H+BP+SGKOgWnS8IwDuByfxRZKUESAUCQSOyiv/c7ON0fRpZziYQfweyvw+v/DonETvp7v4vTfReynE0k/DBmfwNe/7eJx9YT7P8v3J4vICQ/4dCvsO0zZX7bWGYDvd1fQdMX4XR9GNsODRgdYNsxBDIO143YdpxQ/4+Q5EwczhvH9bucClVTmL1q6oSMBIC3n9jEdZ+5jPS81EGa2KrMod4YSQhy/T5y/cM9HYUpAQoHyhuPw7ZtFPlWvPrzLMjKH9yWsEK0RvNwqApTsrOGGa2jGbHHB2xdUYa0TZVlpuUMzTWZb9/DxvYfkxdIrrrtgTBHRfrx38GmdKDE04qlokon6skzPe7TstSZhjnh0kdZkcakOncyOmMhehMRnqzbQabDy6G+Voo8aWSMcvzK62YlQwpCcOs9Kwa3v/z4ptNOeqZhsu313SRGkZofLy5dUc3vHnqXf/33Z7Ft0DWFq6+cTsYoNOJlninErDANkSPkOUoGjYQp/gUEtJG/bbG7ik1dXvKcJ1ZjnfEW9vRuIMORR8joY2/fRmYGLiFVy6TaN3ew1LbSO4OAloGFSU+8g75EF2+2P0HCipGh57I848ZkjsN5hiQJisoyePnp7cxfWoE/JcIzf9jIZdfOJLcgjYLiDNxeB5Om5hHsjyLLEqoqM29JBU0NXVRPTyrh9nSHcLo0wqEYgVQ3K6+eTkq6l4d+/haf/fpVpKafPT3zSNjd00RjuIfvzr7pnFTdFLvTuKdiGYok8/92PsfbbYe4o3jeBfcmnDwOXYyejDMaCb40L//x4jfQTylxmb1yCvf8652jlvMd3VXHtz/8P2NuiGW2glDQ9AVIUhaqOg3bjnAm9h0hXDic12NZHdh2BEWdgpE4xKBBgY2mL8PhvPmUH8CNw3kDltWObUdR1WpM48R5qjoVp/vOAbe7SbDv3wELWc7GtuMI4URWSlDV6sErxiLPI8tZKEopCAVVm0U49Hs8dpBo5HlkORtFKUnuU2cSCT+KbYeIRV9H05fgcN0AqNh2D6HgL077vW0b4vGNCOHA7f0ikjS0dE6S0tGd12JZndh2GEUpwzAOjem3OB0kWWLywgp8aR76OoPjPr+tvpO3Ht/ATV+6EvkcaXIkf9eh1woZbWzr/BUCKHAvAmBH128RCPoTjehygGmpH0ZCZl/Pn+hPNOFRc6nyX4dDDgx7WS3bpDa4hobQBgRQ5ltNtnPWsPsadpQjfS/TEduHjEZ14CZ8WiE1wTc40vcK1YGb8GuFNEU20RjaSNwM4tfyCZtdTE+5C6dyQivEMi0SE8yfGKTmHgfSdQ9+zcnK7Eom+bPZ2d2Ae5TKBiEEGTkBbMvmzi9cSk7BidDCgpXVeP2jk+t0t/ayb8Phc8K2COD1OvjUJ5bT1x/BNCx0h4Lf5xw1Ni4LhWn+RcO2zwgsGbbNsi3iVpSjwb1M8s3BeVKpY66zhFzn8JCOW/GSph/3Bgom+ZIssD3xDmpDB7k6527cio+GyGE2db2OYSdQuDBqo+WTctm1pZbM7ACp6V4ysnyUVGTiT3HxiS9eygtPbGHzu4dxe3QuuXwKCLjixtmseXk3j//2XYSA6ukFVE/LR9MV8ovT0TSF5aunEA5FWfvaXq760JzzIq7VEuklTXeTorkmNJnato15kqJlQHeiycl2Zji8dMfPTUnueGHZMY72/ox87604lfGxIV4InPGXlGWJ7KKh1rVAEMj0k1eWPWp5VSwaZzxqQ5KcBnacRGwTslKCYRzFpS9mdCMhOcCYxhGC/f+OEF4kKRXDOIgQLk5OiJDlomEPlWkcItj3fYQUQJICJBIHkKUTA7QkZSOEPhA71zhuPJwOptmMYRwlHHpgcJumLwQsLLMZwxy6Tz2+z+pEUcoBZeB+ARBnzni2zDYkOdnOIT1j2yTiWwgFf4okZyEJN4ZZgyafvUqYEIKymUXklmZNyEgw4gavPvgOK25dSHre6OJZZwuPmsWM1I+wrfNXg9vCRjsuJZ25GZ9jW+ev6YoeJGi0oUhO5qR/hn09f6QhvJ5y75XDrtcbr6U2+BZz0u9Bk7wIMVCueMo8JwuVPPd8SrwrqQ+upSb4JjNSP06J51LCRicJKzkQxcw+VMmFKrkQQkaXvPTG64YYCUISE+bsGGvZ45C2SxIy0qCY0+zUQlTpDHlIAtKz/DTXdRLqT4p4Od36qMqptm1zaFsNR3fVjbh/Iqip7UCWJApPkwMxUfTEO3i97TFMLFZn3T6EP3+8cCleUvVM3mx/EgkJE4Np/oVo0oVTGy2ryuZvvn3T4Oev/fOJf+cWpPLJv7582Dker4OrPzSXqz80d8h2h1Pjc1+/avDz9bcvOA8tPoFsp5/OWIjOeIh03YONPZBHksTxDP7jCcyIZI5N2Ihj2RZBI0pH9EQ5cWcsRMSIo0kKLZE+JvvHXgl0LiGEQqpjAYo0MQG9840JmXvTl01KMgeeZiDSHCrqGMiNjkOS0tEclxEOP4qiFOJy3YHuWJX80YQTyw4P1PXrmGYrlp38saORJwEHXv/fI4STYP//YBpHh1z71GQkgEj4jwjJh9f/dwjhINj3/aQ34/g5QmI0I0cIBbDBHuouVdRSwMQX+H8IMbCSsi0QzqR3AQlf4F8QwjFknyznYZr1QALbVrGsVrDPrJooKwVEoy9gW2GEPJQ6Nxz6PYpaNRB2sTB7vnXG640VvlQPC66exf5NRyZ0fs2eBp7+6St89B9uOaOWwLmEJBQyndPRZT8eJYuo2UtX7CB98Ua6Yocw7TheNW/Ec/viDfjUAjzK6QeSuBXiWP8bxMxuQkYHLnnkiUtCxqWkIaEgCZUoPZj2UK+BLEsTru6JRxJY46Q8jhhxWk8aRLd01rI4o5QcV2DUc2zL5pGfvEbD0Q7cXp3j78xHvrJ6RAExI27w/K/eOKdMoWveOUhxYdp5MRL8WhpX5XwERaho0tnRU6tC48rsu4hbMWwsFKGgSY4LRqT0fse0lDwKPal8f8/LlHrSMWyLy3KqKXKnsqWzjs2dtbRG+niybjvFnjRmpxayOKOUJ+q2cTTYQXO4d5DzQwDdsTD/e+BN4pZJdyzE8uyKc95m27bpi+/Bo5YTNzuJW134tKmEEkfQ5HTApje2E0loQ+apcKIB204Qt7oxrQgerQJdzsC0Q0QSjdjYxM12dCUbt1qCJBRs2ySUqCViNKDJKXi16oHtNn3xvehyGqHEUQQKAcdMpDEsRGGCRsI1nzxzbWlKhp+//dVnSc0OjOmath3HSOzE5f4wmr6I4x4E27ZR1WmEgz8lHHoASUojFnkBMeCek+RczNhaYtG3sKweErGNSPJoUdQTkOVc4vEtxGJvYZmdxONbUOQzk7EASFIqQuhEwo9jGseQlXwUdRYOxzX0Rv+WUP9PUNRJWGYHQnLjdN2J7ryWWM83CQV/iqJUDuzz4nTdge64nL6evyUU/BmSlEY08hxw+oFDAKo6FyEepr/vO2j6Qmw7ghAeHM6bkOU8jMQ+4rG3MIw6DOMA8kBCpGV1Yxq1GMYRLKuTRHwLkpyJLBdhWz2YZi2meRTLPLFPUU7IlwohWHz9HP70Py/Q3x0aU5+dDNu2ee3htcxdPYNpS6suoPUukMVQWmZd9lPmm0qxdwVgDxCUDIcquYhb/VgYCFsauNpQ49O2bbpjR+lPNDI/4ws0hNbTHt172vYwUOUxUg9IioQ2DlXTk5GIG/T3hPCOQ+CoNtTFq837BhMV9/e2MDdtdNlaSPIdtDb28IV/vhGv//RuYNu22fbmXvaum1g+y2jwenRM0z4nAmKnQhbyQCnj2UMIgSq0C8aLcDJs22ZDaz26rDAzI3fI82bZNr/cu4mby6aS5hhdIfRURIwEuqwMSbbtjIZ5rf4wt1ZMH7xHMB7jD4d3UdffwzXFVczLKqA/HuPZmn3cWj4dZYwlk7qk8OXqSznQ20JvIopXdZA/YMAqksTkQA6TA8kx7niZ6+rcKRS6U+lJRLg0exJRK0Ga7mFBRgnbW9uYk1qMEDZl3gyyHOeD5tmivu8RivwfoyP8Fu3hNczL+TW1fb+n0PdhdDmduNVDQ99jTEn/ZzxastqlPfwGbeE38OvTMK0QzaHnmZz2D0SNZvZ2fhuPVolDzqS77/dUptyLV6uiO7aVur6H8KqVBBNHyXJfRpZrNWBzqOu/BgyNdCwM/I4zy1Yfx3kjIdBdGouvG5siI4BtdSPQCQXvJxz6TdLSVsrw+v4eRa0cSPBbi2XHcXu/QCK+EyEUnAOJeInEDmS5AK//WxjGUUBCoOFwrEaSs4fdz+G6FYRKIr4dWSnC6/97TKMWECjqFCQ5n+OGiiRloTuv5kToQ8fr/zaxyPMkEtsHSwllpRx/yn8nt8d3IslpqOqC5DWVSvwpPxiyT1MXAqBqs/AFvkss+ioW4PHeSyKxh9OGa4RAkrPxp/yQaORZEvE9CMmFrl8CgNvzaSKRJ4nHN6Ook/D5/3EwGdJIHCIaeRqwUNRJRCNPIyvFuNyfxDAOEI08C1jIagXRyFPISgmK55NDbp9TnMGi6+bw8m/XjPk3Phkdjd388luP8K0Hv0RmwcRXgLZt0xbdTWNoA73xWo70vUyeewGhRBuN4Y30JRo41PcCuc65I5wtKPVezq7uhwgZbYBNsWclXnV4XDDDOZmG8Hq2d/4aTfaS6ZiKT82jMbyJnngttcG3MVwRdNmLYUU42PscvfFaFMmJYUdpCm+mPbqXPsmLJnkw7TPTaOsODV/axFQMbcui+WgbuaVjDzFlO33cUjSHDEfyngd6W/FrI+cW2LZNe3MP8aiBy62zc/0RiitzkAbyTDJzU4Z5iXo7+nnsv54j2HNuY7/TpxXw0CPricUTpKS4B9+aadMKcDkv/IR8sUKXFfQRlBpt22Z7RzNXFVWNcNbIsGyLn+7ewN1Vs8hwnkgilITAow7t863tTTQEe/nijEU4ZfWk4/Th/CGngRACr+pg7kA47GQsHIXPw6mozEobTsSW4wzQG41T7c8h23U+3fwCh5JL1GjCsEPIkotQogbDCuJU8lEkJ1muy2gNvXzKeTYOJZuywOex7Ci72v+WqJHkFbHsKGWBz6DJadg9P6M3thOvVkVj/5/Idl1Blvty+uP7OdzzE9IcC1EkL6YdIc25iHTncSLBsYcxJ2QkmKY1IjXnyRifRW8TCj2Aok7C6/pHEDKW2Uxf7z9hmrWo6mR0xzJ0x7LBM5KxfkCAy/3hIVdTtZkD+xTc3s+OeEdJcuNy3zV0o5asd9cdQz0lilqGR/3rId9NVauHJC0OHqsUoHg/M+I9FaUQZcT2yGj6fDR9/omm6GeO7wkhkOUM3J5PDN8np+L2/NWI5516r6H7Fp7o29NAc2qsvG0h65/bOqHcBIADW47y4Hef5FPfuR1PytgFiE6GEAKXnEa+eyF57gXIQkUWGg7ZT7ZzJlnO6UhCRpEcTAncii4nEzxLvZcjCxVd9jMz9WOEjU5koeFSRjZYVMnFjNSP0j/g6vMquciSRkArZk76PQgETiUNl5LOzLSPEzeDFHuWY2EiCQWvmsvkwC0IBJrsJUUvG/BoJKOqFgbyKbklkiyRmh1AkqVxhw4s0+LwjlpmXzp1zP0a0FzYtk1TpIcj/e3kOgN4ldFd7E//di2drb2E+qM01rTj8TsHV5Wf/sZ1pGaeWJkZCYMXfv3mhKtiToe6ui5icYM31xxAPynEWVKS8YGRQFKT48W6g7xQe4DbBlb4lm2xtrmWF2oPkuv2DSqj7utq44mje4gaCa4oqmRBViH/uf1tfKrOsf5u5mfmc0PpZH61dzPPHNvHkd5OUh0u/m7uKtoiQX688108qs7VxckS2CeP7uGPh3fTHYvQvyXGF6YtwrQt/nv7Wrpi4aRhIiBmGjx2eBd7u1op8aXyobKpyELiN/u3kO/xs6mtgeuKq1mUPVx8z7JtdnY089TRvUTMBCvzy1iZV8qaphreaDiCW9X4cOVMCjx+1jQd4+W6Q+R7/CSsJJXzrs4Wnj62j7hpcE3xJOZmnktpdIFTySViNJEw+wg4ZtAReRtdzkCRnIy+EBS4lHxkSUfYAoSEaUeRhIwuZ6JIHgQyiuTGtCOATShRQ9RooTX8KpYdx7ZNrIHFiCJ50eVMxARCWxMyEt78wzp0l870ZZPwDiitna2bz7aDmHYfptUKCOKx9WDHkaTzl9z2ASYOIQTTL6lm+rJq3nly05lPGAG2ZfPqQ++g6gqf+s4d6K6J1Yt7tVy8DF39q5ITtzq0ZluXT6wY3OqJkJRHzcajDvc2nQpd9qHLQ12S6Y7hqy+/NnzlkqpPjDQnuygDRZWJj9dIsGz2rjtELBzH4R57YlzcMnmmfieT/Nm81rKfGwpmku0ciXRL8Mn/75oxtsVi00s7eeJHL2JOgD3yTFi5YhIrV5yel+EvGZIQXF1URXskRFc06cXpi8d49NBOPjN1AaFEnHeajhE3TR46uJ0bSyeT7nTzvS1vUeJLZUNLPR+rns11JdV8e+NrXJJbwt1Vs9jb1cY35q4gy5n0POW5fdwzZQE/2vnu4L1vKJmMQ1Y50tvJ56YtHJwSPzN1Af+86VVskmGi1xuO0BuL8vXZy3nk4A5eqDvIFQUVrG+p5zNTc7hv9nLUUcIS7ZEgv9y7mU9NmUeRN4BhWdQFe3muZj/3zlxKU6iPX+zZyKenzOfxw7v40owldERCrG2uIWwYPHJwB7dVTMen6fzH1jWU+M7tnONU82kOPoMmp+PXZlDb9wCZrstgBFKvk0NmYgRCrhPbTx0nBS6lgHTXJaQ5FgwcJ6MOVr0NrwAbKyZkJOx4ez9vP7mJ9NwUFl09i4XXzCK/PGdccrRDIfB4vkg4/CDh4C8AC0nOxRv4FyTp/JFzfICzg6zI3PSlK9n1zv4JixAZcYMXH3gLSRLccd/1pGT5L2COwsWPkmkFqJoyoUS/w9trqN3XQOWc0dUzT4WNjSLJlHkzaIn0DSkZOxVjuaZlWexbf5if3vfghJ+RsSAcjhMKx4aQOqWlulHOQqfjzwXHRZpORsQ0EECxNwWHouDRdGKmwbvNtXRFw2iygg30xqNkutzMTMshz+3Do+n0xqO41eMJgKd4lE95JE7eJxj9mdnT1cqWtkYO93YSMuLMG1jNe1SNuZn5g/cbCa3hID5dpzolE01OEj/t7molz+Mj1+0j1eHk0UM7aAj1osoyBR4/xd4UXKpG1EjwbkstvfEoqiQjCUF/PDbB6XQ4hBDoUhrhRB1pzsW41SKC8SMU+z+JbdtEjEaCicPEzU56YtsBG7c6fqZUgBzPdTQHn8Wyo9i2iSqnkOW69Ky/w4SMhGs/vYqULD8bXtjO4z96ked+9QaVc0qZv3o6C66aSWZBOrIykNw1xsFJVvLx+v6/iTRnTLBtO5l0NqCe9cFEdPYQQlAxq5iVty/m6Z++Mm6X+HEkYgmeuf812hu7+Kt/uY388pwJlfBdCBxX0jMSJpIszlr2+0zILcvCl+Yl1Dd+GuyOxi7W/Gkj5bNKxsxJoUoy1f5s3mw5SLbTd1akNZZlsX/jEX705QdoOdY24eucCc0tvfz6t2/T1t5PPGYgSYLUVDdf/uJq0ieY0/HnDlkILCBhmUhmUsVUEoKKQDrfmLuSbJd3sKRQEdKgQqkgydFyfMK3BtUXz86b7FJUPlQ2lRtLJyf1Z4WgJxpFEgJ1hDyKk6FKMnHTHFCClLAHrhc1DEzbwrAsTNtGlxUs28YY2Hb8O09KyeBbc1eS4UyWVSpCoobxJ2SPBl3Josj3UfyO6SjCTWXq1/BpSQ9kzGwjarSQ67kRy04QMRpxqYWkOhdgD1TPCWQKvHfgULIQSBR4bxuoTBCkOhYNJmKnOxehy2n0x/cjSTperZLjuQeFvjtxKBMrgZ/QCFcxs5iyaYXc+uWrOLSthnee2sze9Yf4zb/8iYf+/WlmrZjC4mtnUzWvjKyCtAnXep9LRM1ODvT8FrCZnvZlxPnL2fyLguZQueUrV7P9jT3U7G2Y8HUs02LdM1up29fIHV+/noXXzsITmKhn6vygvztE3f5Gtr+5h00v7eSvf/wJSqdOTJ1yrFB1lRnLq2me4CT78m/XsPDqWUxdMvYqEkVIeFUHUcsgbpk45PET/SRiCTa8sJ2f3fcgbfUTV3scC9a8c4DMdC8fvWsJDz2yjquumM7baw+iaR94ESAZ79/e3sz+7nY8qkahN0CZL408t4+HD+5AlWVMy8KhqMzPKuCRgzso8aciYDC34FToskJlII3Hj+ymKpDBpfll1PR1sb6lnuZQH280HGFGeg6pI1RLNIX62NBST2s4yBsNR5iSmsWVhVXcv2cjCcvEsmFhdgGBUZJmT0WxL4VMl4ef79lIrjvpPagMJJlSHz64g85omAVZBVQG0kl3uHn4wA6OE5x4NI2Z6bk8cmgnhd4AipC4ZpTvPFEokotM94k8txzP1YP/TnHMJsUxe9g5yQk+CSFkMlwn8vHST/q3Tz+5rQo+fTI+ffKw62W4lk+0+RObKYUQyIqMJ+Bm1sopTF82ibb6Tg5uPcamV3ay/c29bHltF5kFafzzY/eSmX9u6pfNk5IxhJBRhBtI0u+ChSK5ECjYmBhWeMAqdCIJFaeSTrH3WuqDL52TtowHx1UJTcvGHLBgLcse1DRPGuIDfwWDlqEQSYv6OH2xJASyJJCEhDxGaezzDSEE6Xkp3HHfdfzoy78h1DvxzHXbtmk41MKP7/0Nbz+5iVvvvZrymcU43Pp7QpVqxA2i4TiNh1vY8MJ29q47SM3eBnra+1A1BdOYmOdkPJAkwZzLpvHqQ2sx4uOnMe7rCvLrf3iMr93/aXLLss7YjwnLZGNHDZdkJcWmtDORKZ0C27bp7w7x1P+9zLP3v0ZPe9+42zxehMNxJlfnkZbqRlMVCgvSsCyb3t4IPu/YJpo/d8hCcFlBOYJk3ZdTUfj0lPns62ojoDtYklNEptPN7RXT2dfdRl88RrbLiypJ3DNl/uBk/4nqOeR6vMiSxJ2VM9nT2YosSYiBcSvH7eWTk+cNKYucnZFLVcoJenMBpDicfHbKgkEPRYkvhc9MnU9NXze6rJDucONUFD43bSGKOP0i06mo3DN5Pnu6WomZBnluH6kOF/dMmc++7nYmp2YyPS0bXVb47NQF7O9uJ8XhZFleCRkOD3dVzWRvVxvBRJw8t+80aq5/mTgny2lZkckuziC7OIOZyyez7Y09PPerN9j1zgHikTOXeo0VTaG3aI9sQZN8uJQsin030BndSWPodQQyHrWAEt8N9Cfqqe9/kYQVwqVkUR64A5kLl+Vs2zb90RhN3f209vXT3heitTdIR3+IjmCY3kiUvnCUcDxBNGEQSxiYAy4xwQDznSShqzJOTcWlaXgdGn6XkxSXg1SPiwyfmxS3kzS3i0y/hwyvG5emvmeGw5Ib5nJ0dz2P/ddzE1ItPBnRUIwNz29j+xt7mLqkklV3LmHKokqyijLOu8pcsDtE45FWavY2cHDzUXatPUDz0TaMuHHOaITHi4pZJRRU5XBsV/34T7Zhz7qD/PALv+ILP/gohdV5oz4j3fEw27vq6TdidMSCaJJy2pyEUxENx9j2+h7++MPn2bv+0AUxogDyclNobOpm7pxiTMvmldf20Nzcc16flfcTdFlhbtbwjP0Mp0JG3vD496nZ/dPTTwjOTU07keCbojtZmls8+LnUn0qpf3jSX6ZraMgnx+0jxz08GbbElzosaXBG+tjE7vy6g8U5Qzk9Ml2eYfceaRsozM8aG0fOXyLO2kiwLJtQb4iW2g7WPrWZra/vobW+A0kIZq6YjOscWvKmFcMhpzEp5eMcz9as6X+WfPcqVMnDod5HyPdcOmBAXEfM7OVY3xMYVghZPn9GQtww6Y1Eae3pZ1ttE9tqm6jt6KE3EiUYjROOxzHHNXEmM8D7T0O6KABdVXBpKm6HhkfXyQ14qcrNoDo3k5KMFHxOHY+uoynnNwdDCIHm0Lj5S1dSs7uBTS/vOGtDASAWibPl1d3sfvcgGXmplE4vYsFVMymbUYQvzYPDraM5NBR1bN8vqWRnkYgZxGMJ4tE4kWCM5qNt1Oxt4MDmIzQdaaW3o5/ejv4JrdzPNYQQZBams+DKmdTsaZhwv+58Zz/f+ciPufubNzH70mm4/c4R+0wWEgvSS5CFYCxa75Zl0d8V5PD2Wp79xevsWrNvzARbiiqju/Sz8j4BzJ9XQjRqoGkKq1ZU8/yLO5gzp/iDfIQP8AHOASZkJNgD7vKGg81semUnW17dxd4NhzHiBqXTCrn+nsuYc+lUymcVI5/DfAQhZJxKJmKANc+0E8TNHjpju1CEkzTHVCShUR98mZjRhSw5SNihc74CPH69cDzBhiP1bDhSz6ajDRxt6yQxweS9cbcBiCYMogmDrlAyqW1fUxuv7U1SJbs0ldLMVCqz06nKyWBaQTaV2ek4VOW8GQyBDB/3fO9Oejv7OLDp6JlPGCNi4TgNh1poONTCmj9uQNUVckuzyC3LIi03hZRMH/4MP063jqoraA4NIcAwLMyEQTySINQXJtQXob87RE9bL92tvXQ0ddPe0EksfO68XecDsiJx2d3LeOGBt+idoPvetmxq9zbyH5/6GbNWTmHVnUuYuaIaf5pvMCM9oDpZllk+8vmnvEPRUIxD246xe+1BNr28g4Nbjo3LqBJCsOK2RcxYXs0PPvfLCSe9Auze00hTUw9FhWkUF6Xzt1+/5pyOO+PFmMYb+8SxsUicSChKJBgjOvC3tbadUN/EjKdju+vZ/tZeHC4dp8eBw60n9TTcDhRNPsE4OoZh4GIIaY4X4+l/y7KS/R+MEg3FiASjREIx6vY2TEym3YaDm4+iqMpgvzvdyd/A4XEgK/KJbn+f9P+EjITNr+7i6Z+9yuHttURCUdJzU1h+ywJW3rqIkqn5eANu5PNYenT8IZdQyHUvx7Sj+LXyZFYsMv3xGlL0Scl60mjy2KjRSV/8KBGjnd74IXxqCfIEuNgN06Khq5fX9x7hue37qe/qJRyLj2HNdWERjifY3dDK7oZWFFnCo2sUpgX4h5supTr3/JSVCiHIr8jhS//zCf7z0/dTs6ee8+GhT8QMavc1UruvcfC+siojy1JSFElKepls2x40aC3DxDSs9yxkcLbIKcnk2k+t4pHvP4OZmDjXQDyaTCjcsWYfgQwfVXNLmTS/nKJJeXhT3WgODVmVkSSBZVpYpoWRMImEYvS09VJ/oJkjO2o4true3o5+Qn2RcU/wQhLMWjGFT/6/25EkiZRMH53NPRP+TqUlGYTDcfbtb+LV1/cSjSZITXXz8Y8uJTXl7CWFj8O2beLRBIm4gRE3MBIGRtwc+jdhkogliIRihHuThmmoL0KoN0y4PzJkW7gvTLg/ipEwB/vaPP43YRINnVm/ZSQ8/8s3ePXBtUiyQJZlJDkpFCbJMppDxe1z4vI6cfmduL1OXD4nLp8Ll8+B2+fC5XXi9jtxuHQUTUFR5RN/1aGfVV1Fc1yYMOdxg8qIGyTiJuZAfxtxg8RJv0EiZhAJRgn3ndL/A31+8rZoMIphJPvfNKwhz/yEjATgkX9/BkVXkGVpoN8lJElCViQ0p3ZSnzuTv4XPOdDvDlw+1+A2h0sf3veajKwqqKqMrCloelIj6Xz2/4SMhNcefpc96w4xfWkVi6+bw9RFlWSXZIwqzXqukOaYin1SjFQIQaHnSjqi2wgbrbiVPIRQKPffTmd0J6rkYVLKR1ElN2GjBYREpnMeEaMdj1pwBnWEobBsm7a+IH/atJvntu+ntrPnvEyA5wOGadETjuJ1REj3jMzNnpxQgwjhGmTlsqxOTOMYqjYSpfHIEEJQNr2Ir/zfJ/nB535BzZ6JVzyMFceTDN/74MD5g6LKXPGx5Wx8cTuHttWc9fWioRgtoXZaatp56/ENCCFweh24vE40XUVSJEzDxEiYxCNxQr1hjLMwTk5G1dxSPvefd5OS5ScWjlE+s5jO5u0Tvl56moeS4vRk6CMYJR5PEA7Hsc5ByOtU/P47T1Czp55YJE4sEiceSZz07zixaJx4NHFOwm0TRTyaOCcCWpKUDCNqThXdqaE5NXSHOvA3+bl4cj63f/26QVK984lE3OD+v32ItrrOoX1+0t9YNEEiGn9Px+ZoOAbhiRkYJ0OSJTTHCH0/8J/mUJm8sIKbvngFDvfZiY+dDhMyEq746CXc/Y0byMhPu2BWJIBHHZ5cIks6Wa6hNMJuNRf3Kfz7Xq0Ir3Z6sZqRYNs2oViC1/Yc5udvbqSus2ec+QUXD6bkZ5HuPfEyW1YPpnEMSXhA8hKL/BFVW4CiTMI0jmJZbdhWF4zDSIDk4FI1t5T7fvVZfvo3v2fX2gPv6aD554LMwjQ+8e3b+LeP/4S+znNLTGTb9sBKa/x8DGOFEFA2o5iv/N8nKajKTdKbOzQmzStj44vbJzywP/anzbzy6h5mzihg8cJyqipzcDq1c18CacOONfs4MEH10/cbLMsmGo4lJ71R0NvRx01fugI4/0aCZVhseWUXLTXt5/1eFwMs0yIaip3Ro3HdPZed1+6f0NJ/1orJ5FfkoDsnRqP7fsFx78G/PvMG33n6DY61d79vDQSAxRUnG0k2ZmIfRmInNgZggRUGZEyzkUR886Ag1EQghKB0WiFf/dmnWXzdHJQJSh5/gBM4ToV9671Xj4tq+WKAEILyWcV89aefoqg6f3DckGWJ4ikFOD0TT3BetaKaj390KZkZPta8c5Cf3P8Gjz+xiWDw7FdzH+AD/KXjvWc5GjdsTs26Nq0QPdENw7af1V1sm90NrXz1wed4auteQrGLO7ntTAi4nEwvGKpPoKjTkKQ0jPg2BHpSLlopxbajSHI2sjIxvYHjEEKQXZzBV3/6Ke7+5k3jki3+ACNDUWVu+uKV3PTFK1D18ZMcvRcQkmDWqinc98vPUTq9cFhpYtHkPPzpE1fi03UFr0fH53Pi9zsREuzZ00jkHJZff4AP8JeKCS3vNr28kw0vbufmL15BTknmBfMm2LZNW/BPpDhXoJ2k1mdaYfqj2wg4RlY2HC8sy2ZHXRP//ORrHGo5v2xxFwrVuRmke08wGNo2mGYtltmCkLwI4UBIKcSjL6JqSzDi72Jb7SPKbI8HQgg8ATe3fOUqKmYV8+C/PTnuTPgPcAJCCBRN5tZ7k+JKT/3fy4RPVyv7HkNzqCy5YR6f/H+3k56XMuJYkVWUQUZB2oRZJTdvqeHQ4Vby81JYMK+M1FQ3Xo8Dn+/8xWk/wAf4S8GEjIRtb+5h7VObueKjl5zr9owK27ZoCz1Nc/9DBON7UOVU8v2fxrD6aQk+hiqnAALD6qc/to1IohaXWkEosZ8U5yU4lWK6I28Tiu/BrU0m4FyMYHg+hW3bHGrt4B//9CpH2rou2Pc7n5CEYGp+Fn7n0EFTViYjKycoPDXHdYP/drhHltieKBRNYc7l0yifWcQLD7zFs/e/Rkfj+7t/36tAmxACl8/J3d+6iUCGj4e/9/QFYTYcLzwpbm7/2rVc8+lVuLwj8zJAssSzekE5O9fsm9B9Vl82hWlT82lu6SEeT9DS0kuL6GXq5DycH0hFf4APcFaYkJHQ1xkkNSeAL9VzAXMSBH7HfLrCr5LhvhZdyUagokh+/I75NPX9lhzvnZhWiJbgH0lxLKWx75ekuS6jI/QiXn0GfbHNpLmuoD30FAApzqF81rZt09TTx3effuPPxkAAcKgKc0vyh7h5L3QuyfH7BTL93HrvNSy9YS7P/+oN3n16C231nWdVJ38hIQSk5aZSvaCc1OzAe9iOJDX6tfdcStn0In7zL39k3wBXyXsNVVeZuqSKO++7nsmLKlDPkI8ihGDakir+8P1nJpS8uGNXPb964G28HgeNTd2kprrRdZWy0swPjIQP8BcP27YxLGuQAnu8mJCRkJod4MjOOizTGqJ/fT4hhECVUpCEE03OQleS1QsCCU3OGCzbA1AlP159Jv3xnXj12bQGH6cnspZw4hCG1U80UYsi+YYZCTHD5OdvbGJbbdN5/z4XEn6Xg2kFZxc2OJdQVJmCqlw+/d07uezDS1n/3DZef/RdWmraL4pJ7lQIKan2WFCVw+Jr5zDviumUTi9Cc7y3OQFCJNs1dWkV3/zNF3j592t47uev09HYdV7K/84EWZHILcvi2nsuY8WtCwlkDKfeHQ15FdkEMv10t/aO+77bd9SxakU1q1ZU88sH1nD7LfN56tltvG9qlD/ABzjPeOjdHVwxvYJs//hzfyZkJCy5fi5vPraOg1uPkV2cMZFLTBgDYqVnOCbJyCihDRxvATIZ7utIcSYVtCQx1PVu2zav7znMU1v3vq8rGEbCnOI8PI6Lb0UlyRJlM4oonpLP9Z+7jB1r9rH+2W0c3HKUpqOtJGLvncEgJEFqVoCCSblUzCxm4bWzKJlaiMOlIckTs8jPF4QQpOYEuPXea1h1x2Je+s0aNr6wnWO760lcAKPLE3BRNqOYZTfNY8mNcwmk+8at/OpNcVM6vZAtr+wa9/0lSSLgd6EoMrYFqioTixn0B2OkfpAs+wH+wmEDuxtauGp65RmPHQkTMhKKJ+dx/Wcv508/TioqTl1cOWqJmyfgPmcUqUKoqHIa/bEd2Fg4lHwsO0LC7MKyo8TNdix7pIxmQcC5mM7wq7i0ciwrgkMtHDQUbNumsbuP363dRtw4N4QxFwuEgAXlhRe1spmsyHhTPCy9YR4LrppFa20HjYdb2Pn2PvauP0zT4Rbi0TjxmHHOPQ2SLKFqCoqmoDtVsksyqZpTSuWcUgoqc8gqzsATcL8vxIJkRSazIJ0Pf+NGrvjoJezbeISNL25n1zv76e8KEYvGz4qtEYYSvOSVZzNz5RRmrfz/2Tvr8Lqy8+r/Dlzme8XMYMsgM8MwTwbCNGFo2qZN27RNKf3SJmmgTdIG2ySTTHBmMkwe22NmRsm2ZEkW42U88P1xJVmyZFuW5YF21vMkI5+7zzn70N5rv7De2RTV5OHKcEybPFkdFmqXVNBy4uoqnQ6fHWFMZcCqymzaO4YwGERMJpmf/HQb/kAU8w2w9LgyHG+om+nNBleG45oJ4XQhCODOcl5VKEpHI66G0XQVo2TFILy10oWvBQ6PHeEqY5MAVOdm0tjdh8VkGJ0LREHAYrz6NyLo09CpffFnW9L1GvadY6gngMNjxz5ZwRhB4F+f/osZszbouk5C7aQv8gICEnnODxFKHGYotgtdTyCJNjyWNSSUbpzmBQTjh3Ga6wkljuK1rGcovoNQ4jCy4CDDdjdGKZ2Zoek6/71lP9/bsAvtBpsoBQFcFjO5bgduqwWnxYTNZMQgSxjEdKEiXU9XhEwqKomUQiylEI4nCMcT+KNx/NEYkcTUFNWyXXb+80P3UZs3koUycn2Xf7F0XSeeOkkksR+LcT42U3363ivnCMd3YDbUYDcvv/6bcQWMSCrrmo6/N0hbQwftZ7vpOt/LYLefoZ4AYX+EsD9KPBInHk2SSippF5imj8qhSnKaBJhtJkzDWvZ2tw2nz47L58Cb4yK3NJuc0kzyyrKxu60Iw2W430zWgmvFyGetazrRcIxzh1toPn6B9jNd9F4YwN8XJDQYJhKIkkykUJIqqqoiisKofK/ZasLqMGP32HBnOPHmuskpzsSU6aB0bhGz5xQhiiJHGjvwOC2U5PuueM/iiRQm4+QSsiPPW0mpaLpOStHo6g1QVpjBhOZCWnp75DiKogICkiTQ2xtkz75mysszqa3JQ5pBFdgRie+33RhjcMmzuJEYKdB2xTbA+fAhDg2+hEmyUedaR6l9/g3v2/VA1RVUXcE4jTIBgiCMjleXg67rfP35rew400Kex4nZkF7Q57mdfPGetVd9dtOyJHQ299DR1IPL58Dlu7KPYyZfHkEQMMv5FLo+ObrNZV6C65LUR4dpLgAZtlsB8FlvBsBrWYPXMjEjYyAU5Q/7T9wQgiCLIj6HlYpsHwtL8qkvySPDbsMsS1hHyIEkIQoCyVgSQQCT1TQ6IKmahqJppFSNlJomDQlFxR+J0Trgp23Az9nufjqGgoRiCcKJBNFEapQKlGZ6yfe4xqQ+qvSF/odM5ycQriCTYZBy0XWFcHwnNlP98LVkIggmgrHXbjhJGJ2kRfDlefDleZi/fjaDoShfe3wTXnMFD80q4wcv7CIwEGDdrDLuWVDDmY4+fv7aAULxBLfNr+YdS2ZjsxiRZAlpWP9cFaChu59tZ1s42DuE0tNKkRrgFqvAEnshVtPkKqIDoQi7GlvZ2dBCx2AQRdVwWy1U5PpYWlnEwrJ8LJNoF/QFI+xqbGFnQytdg0EUTcNjs1CR42N5dTHzS/PGMXpd1wnHEzR09LPnTCun2nvxR2KYZJnCDBdrZpWxrKoIh2XiCknXddoHAmw6fo795y4wEIqhahcHViVPIOF2cmfdQh5eMptUIk2sNE0jFE1wsLmDzSfO0T4URDZI1BblcMeSWpbWluB0WpEMEgdOttEfijMYjOFz21A1jbauIfKzPcQTSWxWE8FwHIMsEY4msFmMJFMqOw42sXpRBTaLEX8wiixLuBxmBv1REMBlt3DiXBeKopGX5eJIYwc2mwmXw4LtCsJt8pg6MdnZLu6/t/6a3rWpQhDSRORtvDEYCda9EhQtRXPsEHW+dVTaFyMJMpJ44+oIzQRaQkdQ9CTVzhs3pr576VweXFQ3bptpitVzp0USPvbP7+Jj//yuKbV9s6/GdF3nleNn6ArMrMytIEBldgb31NewprqU0izvcPldiIXjtDZ0kbuodLQPIHDuaBs6MHd55TBDBEmUMAkTV1+6rrOwNH/039FkivbBAK39fpp7BznV2UtjVy9zC3NwDk8mijpAf/hRAtEXUbUhLIZZuKz3klI7CURfRkfBbb0Hg5SHLPkwyPkkUs3D1yMgS26MUiHJVOsVr90ffR6baQkGKYtgbDMmuRRRsBJNHUPTwiSVVrz292GQrq3QlCAIqLpOTyRKdyTK+b0hegWFQSM8ebaJnIpsXjrXRMpnIRrWebKpmaUraripJn/0nkWTKX62+QCPbTtEStHIcdsRBZGGjrNsOHKGdyyt4/N3rxpHFHRdpz8U4at/eI3Nx5uwmAxku+zoQFu/n11nWnj5SCM//OSDlOdc1O/QdZ2+YIT/98Qmtp86j9VkIMtlR9d1WvuG2NnYwqvHzvL9TzxAabZ33LVuPHaOrz+1hXhKwW0z47Fb6Q9FONrayQsHG3j3qnl8/u5VmAzyuPM19wzyD7/dwMkLPcwuzKYow0W3P8yp9h6SikpNfibLakpYWldGbmnW6H7BaIKfP7eNlw43IgiQXehF1TR2dnez/8U+PpGM8/41C5AAVdVo6RxgKBRlXnUBTpuZREJhwB/mwIk21i+t4umNR8nOcCIKAtFEirICH2fb+igvyiCeVLjQNZQug+1zcKFrEJvFRE6Gk8aWXiRRwGE30zMQ4mhjB4qqce+68QPc23gbl2Io2c2pwDZaI8eIqUF64y0s8t6DQ/TSFTtHSosTUfz0Jdootc2nwFqDDnTFznA+chSTaGWWaw022ZUm6soQp4PbSWpxyu0LyTGXjXNzXQpd1+iON9EcPoRBtDDLuQqb7CGk9NMVO4uqKwwkOsi1VFBqn4+IxInAFo75NyELRjpijRRb51BmX4COxqnAdrymPM6Hj2ASrczz3MpQsouhZBeVjiUIiAwkLtCTaGGWc/Vl51pBECjN8qatdVx76va0SMKbfeIPJROkVBWvZfJiRmMxGImx6eQ5lBlMwcty2nn30rk8vKQOj82COMZ0nYyn2PXSUU7ta0YHTBYDx3edxe624s1yERwKs/nJfZTXFXBoawOyQWLpbXPILvSNO8elz8BmMlKdm0lVTuawuyBFLKVglC+yRUl04TTfTCx5Ap/9Q4iCBU2P0h/6H+zmVYBIT+A75Hn+HkmYvgJeMPYaJrkcg5RFOLEHQTAgiR76gj8k2/knmMxl6XoR14GTF3r42M2L+er77+S1E038y5Ob+PGre3nv6vm8d+V8tp0+z5d/9yqvnWjipjnp8searvPU3hM8tvUQZdle/uze1aOTent/gK8/vYWn954kx23nw+sWIksXVyDbTp5n68nzrKot4Qv3rcFtTcsIx1MKpy700O0PUZLlmdDPzcfPsauhhXWzy/ize1fjHNaqiKdSnGjroT8YoSjTPWG/uqIc3r1qHksri6jI8WGQJVRVY8vJJr713HZeOtTITXXlLK64WM8koaj8escRTnf08oE19Xzs5sWYjQZSisof9p7gP57fgddu5Y/uXI7NZBy33/9s3sdLhxpYWF7An969ihx3mgSdbOvhm89u5X827Sfb7eCuBTVIokh1aTZuh5WuvgDZw9bEEdddSlGJxlKcbe0j2+fAbjVRkO2mJM/L7IpcXt3VwLyafLr7Qhw/08HSuSW4HRZONXVTVuDDZjGS6bGTn+1i9aJynt547LrelbfxfwNWyUmZfQEd0QZKbPPItVRgltJFDfoSrZzwb6HWtYo8SxUmyQoIdMfOsLP/98xx38RgopPtfb/mluyPkdRibO75GfnWajzGHLb1/opbcz6B15R32fP3JlrZ3vsb6tzrCKT62NL7GLfnfpqwMsTW3l9R51pHlrmEfQPPYJGc5FmqyLfU0Bo5hsuQTZVzCTYpPYbo6OwffI5C62xK7fNR9RSSYEBA5Jh/E0W2OkyilYbQbkzilec5XdcJxRNsa2zhWFsXt9ZVUpzhJhxPUpo5ucDZWLzhgvq6rqPo2mhGgVGS0HWdlKYiIGCUJFKaho4Oevr3sReVUlVUXUdgeLUrioSTSVRdwzOcH6rqGiBgumRfXddp6RvieHvPjF1PgdfFl+5bz4rKonGTzAiMZgNV84uRZYmahaWcOdKCxW6mq6UPs9XElqcO8IG/uJvejiH6u4bwZrno6xiaQBIuB0EYFtsxGbGajJf8JiNLPkTBgkHOQUAkpXQTjG1F1YIIgoGE0kxK7UESp08SJoWuY5SLsZmXTsgsmQ7sZhNrakvx2i0srijA57AhCgLrZ5eT4bSxtLIIs1GmfSCArqfvSyiW4Hc7jyJLIn9810oWlV+sIeCxWfjYzYv5h99u4PkDDdy3eDaZTttI1xmKxEipKmXZPvK9LoxjzJ65nsnvlabrDEZipFSNilwfeV4nhtF3wkKuZ/IUQUEQqMjx8fm7V034gO+sr2FHQwtbTzbTPhAYdw2ReJLTF3pwWcysqyvHM1zx02I0cNOcCn6x5SBdQ0EGQ1Hs5ouuivaBAM8dOE2my86f3r2KmvzM0WOurCmhYzDIN5/dytN7T3Lr3EoQ4HRTN3ariSVzSjhwso2hQITsDCeBUJyt+89iMsnU5PsIReLkZDixWUwEI3H2HG0hL8vF3qMtmIwyK+vLOdLQjtkos3B2EZFYgv3H21hUJ2AyyoiCgDwmME7TdbacbeZwexcfW7YIt/X1VVUcuxp7sy+W3sw4faGHnkCYtbPLrngfewNhdjW0cPfCWgxXcTWYJCsZpkLMsgOvMZdsc9m4362yi/nuW8dZAxpDeymw1lJmko6ZDQABAABJREFUW0CBpZZnO76NP9VDRBkirkWY7Uz77C9ETnIhevKKJOFsaB/ZlnLK7YtIaXGe7fg2Q8l0OXuzZGOh924MoonO2BkGkhfIt1bjNeVhlVy4DFlkm8fI4OvpTL4a5wryLdUXdWaM2dhkN13Rs+Rbq+mOnWN11vuueF8AfrP7KJ3+ILoOLX1DWI0Gnj50ir+9d91V970ukqBrOoGBEANdflKJFIXVudicV1+9jzsG8OzZBjpCQZKqyn2VNbSHgjT5BwknE3y4rp4nGk9ilQ1YDAbeUVk7arYHePrsac4O9iOLEh6LhXsrqnnqzCnK3B6yrHZ+fvwQqqbRH4vyyfmLybaNX8FuOd1ELHn9ZVUBCjxOvvqu25lfnHfFbAKzzURXaz/t57o5e6QNq9OMKIrIBok19y3k1P5mymYXkFXgpbQ2n+Lq3BnpXxrD/Rq1O+mYDWVku/4USXCCICIK1/YMJ55BBDR0XUXTLhaJEgULAjMTce62mrFbTAiCgFGWcFpMSKI4WuXSIIlYjMbhZ5u+2IaOXjoHg5Rl+1hUUTBucBIEgeq8TLwOK+d7B+kNhEdJgiDA7MJsPDYLT+45jlGWWDe7jKrcDIyGy39CoiAwpygHl9XM73YeQxJF1swqozI3YxzJmAyXGzhNBpl8rwtV04ldkumRFk3REcXxEyuAJAhIooimMyH25mhLJwOhKDfNqaAqL2PcuUVRoL40D7NB5nR7L8FYggW1hcytykcQQJYkCnPd6DrIskhxnhfQ0ynIooCiaqP9+cC9i9N+ZVGkqjgdSCvLIlXDgc0GOb1AqCzOQpZEasuykSSRh2+vH+2TqmnsaGpl85lm7qmred1JQkJR2XruPHPysslzTV0H4m2MR7c/zLnuftbMKpsYmDoG4ViCYy1d3FFfjYHriy1wGjK41NgeUYZojRyjJ3Z+uE36XUxqcQYSF3i56/uAgKorGK4SWBhV/HTEGhlMpImBXfaMns8mu5GEdGq+JBhQtatnaRklC2bJNu57lAUjNY4VNIZ2I4kGjKIVjyHnyoGLQGNXH1+4czWHWzuJJRW8div+yNQqvk6LJOi6TmgowsuPbmX70/sJDoTRNI0v/venqVtRRWAgxIZfbqeoJo/Ft81FvEqEsaJprCwoxh+PcXZogMM9nVgNBsLJJP2xKLqus6qwmBLXRHOuKMC87FxCiQSKrmGTjSzMyWMwFgN0NF3nnooadnW00R+NjCMJSUVlT9OF6dyCCTDJEp+6aelVCQKAL9vFstvnYnNaWXb7HCKhODULStMZIqJIMpbEbDPhyrCjazoG08XHdOx8F49uOsA9i2tZP6/imvspiQ50FGLJoxjkXETRiSxlE0kcwmKoRtVDWI31KOogqjqEpodIqf3IohtVC6Fog6h6mJTaiyx6EYSJr5BBziMc34OiBYgnT+Oy3n7N/bwajLKEYXgiFARhdMU5drUhChfLgQnAhYEAmq7TNRTksz9+iksHjJSq0uMPo+k6Q+GL5EYQBBaU5fPHd63kp5v38+iWgzy7/xSzCrK4ZW4lK2tKcFnNE9IkBUFgSUUhn71jOb/YcpCfbj7A0/tOMqsgm9vmVbK8uhin1Tzp+6JqGv2hKCfbujnV3kNvIEI4niCeUmgerScyfrK3mY3U5GfywsEBdje2UpblxWSQSakau8+00h+KsqyqkCzXeKLc1u8H4HhrF5/+0VMT+hJPpYgmUhhkCX8kRqZzfFqzUbz4DlyaDTeu3RhCZRyTMj12uyAImIzjDzL2mcqiyMeWL+L+ubWU+SaOBzcavaEwP9yxjy/esvpNTxJCsTi/23GM966ej8Vk4Ccb9vLQ8jkcb+0mqSicaOvBbjbykZsXYZTHf8e6rtPY0ccLBxtIJBWW1RRjMxkQRRGr0cCO0+f56M2LeWrvCeYU5bLx2FkCkTh1xTncuaCaUCzB8wdOYzUZaOzo431r6sn3OvndjqO0DwQwGWTcNguKprH5yDkONrWT53Vy7+JZOK1mXjrUwLGWLjJdthtqsckyl2A3eFnkvQcBEV1XscouUlqcTFMx67MfwSiaUXUFs3RlF2mGuRhRkFnmewBRkFCHj9UTb+JKtRRl0UhSi6FoKURBRBwVBpx43YIgkG+t5VhgE4eHXqbMvvCq5AXAbjJxprufaDJFPKlw7EIX2c6puXynRRKS8RQ//Ktfse0P+8gs9OHw2Gg61kZqOC3PardwaPMJDm0+yayllTg8Vy52nVJV9nW1k1QV1heVoek60VQKi2yg0Okazmq4XFcFDKKELEooatpicKCrg1AySY0vA5MkI4kCkiBwadTBuZ4BegLh6dyCS3oA62eVc+ucyinpEUiyROmsi0GHExJEh++X3TVxRe8Pxzh0roNFlQXT6qsoOMiwf5hgfCtW4zwc5nVkOz9HIPYy/thLWI316GgEY5tJqp2ARCD6Em7rfYTjO0ikziKJTvyR5/DYHkSWJg7UPvv78UeeIZFqJMPxEYxyESImHObVzFTFA1EUhoWyLiLtarn8PsmUmi5spWn0BiKTtslxp10HhkveN5NB5qFldayqLWHDkTPsaGhhV2MrW042U52fySduWcLNcyomDGgmg8x7Vs5j7ewyNhw5w86GFnY0tLDlZBM1+Vl86ralrJ013uSaUlReONTATzbuo2MgQK7HQa7HicNiwmo0jgtWHAuzQea9q+ZzvK2bn2zcx5HzXeR6HfQFwhxs6iDX4+DjtyyZkBudGLZIJBWV3st8D4UZbswGeUb1NqaSfT02eHQEeS4HeZdRjruWY061/Vi0DflpHRyadN/Jgouv99xTOeZk7QBSisa5rv50vJUOZzv7SaQUWvuGaO8P8Ok7lqHp+hgX2Hhkuuy8e9U84qkU339xNw8sq6NraAiLwUAwlqBrKMiZjn5umVvJfYtnYTLK/Puz21lUXgACbDnRxJ/es4qb5lRgt5jYdrKZwXCUT962jJ9s2EtKVTnU1MGZzj4+e+dyNh07x9N7T1Bfls+hpg7+6K4VvHyokXjy2lU4p4rZrrVs7f0V23ofQxIM2GUPy3wPkmUuodQ2j229v8IkWVF1hZUZ78ZlvHw6f61zJdt6f8XW3seQRSNmycHKjKsH+BdZ57Bn4A/4U92U2xddNWXTKJrIt9RwYPB5bs35xFVJlAC8c+kc/nvLPtoGAoiCQHm2j0/ftPSqfYNpkoRDm0+w58XDvOOzt3HvJ26mo6mbLz3wrdHfDSaZinklbPrtLqKh2FVJgsVgIN/hpMqbQZbNRpXXR380ig4YRYmHq2fjME0uiHFLSTnicMCUpuuYJIl7K2vQdfBZrNxfWYvDaOTW0gpMYz4GXddp6OojFL/+mvN2s4n3LJuH3fTmUzW8FIIgYDevwG5eMbrNIOeQ4XhkXDuv/eEJ+7pt9wL3Tth+KQxSFpnOT0zY7pLvuOb+ziQ89rSWR01+Fv/yvjuuSCg8tokETRAEctwOPrBmAfctnkVzzyB/2HuCDUfO8K1nt5HlsjO3eKJrSBAE8jxOPrR2Ifcvnk1TzwBP7jnBxmNn+eYz28h02pg9Rjb7dEcv33x2K6Ig8sV3rGNVbQk2sxHDcLzO917cyfneoUnPU52fycduXsw3nt5KbzBMMBbHYTHxwbULuL2+itIs74RBxetIX+vq2lL++K4VE4479vg++/W5osYiEIvzrxu2Micvh9trK3nm+Gm2N7WQSClUZWXwqVWLKXC7AAjGE/zF0y/RF46gajous4lvPHAnuc7xZOFwexc/2L6XT65cTF84wvMnG+kJhsmw27i3rpqbq8sxy/KwHolOMJ7g5dNnebXhHIORKKnhdFFRAJvRyF/dsoa5+Tn89uAxdp1v41RXL5Fkii89/ypWY/p7d5pN/PWta5iTl36Guq7TGQjx3InT7Dl/gXAySXmGj3vralhSXDDqauoMhPiHFzfy8Pw6PFYLjx86TuuQH7vRxE3VZdw/pxan2TTO1dLY28/TR09xrLMbgFk5WTw8v46q7Azkq1hsR+iFrussrCjA57BecYJpH/Cz9UQz4ViSC/1+slw2jrd2k+m0UZLp4VBzJ9keO4FonJcONRKKxmnuHiClqhgkiWyXg1mF2ZgM8mjmzZziXDKcVhZWFHC+Z5Cm7n72n2un2x8inlQozvTQORikOMtDhtPGsqoiznb1T/mdkgUD67I+OGHVX+lYSpltwYT2VsnFTdkfJqwMoaNjkRyIw9lk8z13UO5YhKIlMYgm7IbxCyJN1xmIRsmwpu+jWbSzNuuDRJQhNF3DIFiRBJlMUzG3ZH8USUiT8/nuO5DHWN+KbLNxGbNQ9CR2yQ2AiMRduZ/FLo/PekpDwCLZKbPXY5GuHjsmCAKzC7L5pwdvZSgSQxDS45vLYpqSlWZaJOHI1tNkF2dy98fXk12cgb9/YgW6jAIvgf7gVRXyBGBuVg4ek5kM67A/WZQocLpG21wpS8FlmmhqKTJMnKxdl7BlRdM41zMwIwqLdQXZzC/KnbZZbEQTQRCHRaR1fTTYbmxmxKT7XdIWJl99jLaD0fOMbaeODo4C+hi/9eX6MBLApWvDgVxXOP+bBbUFWZhkiW5/GIMskTHJIJm+bP2SbSP3It1WFAXcNgsLyvKpLcgipai8cuQMR1u6mFN00T842X4eu4VF9gJq87NIpFJsPt7E8bZuZhVkj7Y72NROMJpgfV0571o5d5wgUCSeZDB8eV9iXyDCY1sPUZHr4+sfuIsM55UJOsCcohwkUaBrKIjNZMQxyeAx2X25Xii6TuugH1XTONbRRdPAINVZmcSVFO3+APHUxbHDYpB5eH4d/eEIL546Q1P/ICl14rcbSSY51dPL97bupjcUYWFRHjkOO3tbLvD3z28knlJ4aP5sIP2O/2D7Xp44cpL759ayvrKUht5+nj12msosH+9dOI9CT3ocshoNzMvPQQC6giFWlBZT5E3/ZpZlMmwjQa46LYND/MMLm2juH2RVeQnVFjPHOrv5wlMv8ufrV/LQ/DpkSSSlqjT1D/Lo3kP4Y3HqcrOpL8jjaEcX39y0g75QhD9et3w0mHt/aztfev5VbEYjC4vyUTSNHc2tbD13nn+59zaWFl8aZ3Mx4ySWTJEYcz8vZ40aga7r/GrrYd67ej4FPhdf/t1Gslx2BkIRMhxWSnO8vHiggZW1Jfx2xxGWVhaxpLKQrzy+KR1kTtrVNPbdNUoS8eH5IKWogI5Rlrl9fhXvWT1vuM8Cm483kUqpoENy3DPWSSkXiESfxmxaism4ZMJ7KgjicOzBeFgkO5OFNAiCgFmyT+pKkEUDHuN40j82niepqjx+7CSfWbYYTdcRBQGzZMMkWkmqKoc6Olla5EMSjDgMmenxUtc5P5CgyG3BIunDrlIJj3F8bR1BEHBfsk3XdZJ6nECyh3PhA8z33H5FrZuxEAUBj82Cx2YZPVbbgJ8in/vGZDdEAhEcHhsW2+V9IWpKRZKvLtYgCAKVnqlF7s8kYkmFpt6Bqze8CkRB4M551RMCxa4F7f0B/uqnL/C+dfUYZIkndhyjazBIrtfJQyvnsH5exahKFqQn+lhC4Tdbj/DywUb6AhEyXTbuXlzLPUtqR3P80/nvcTYcOsPLB8/QPRTEaTWzpq6M+5fNJtd7UUb3649vIRxL8K4183h+32n2n7mApunUFmbxnrXzqS/PG/csOweDPLP7JNtPnicQiZPjcXBLfSV3L67FdYX34o1EnsfJzXMreOXIGX7wym4+dvNict1ORDF9rxIphZ5AGFXVKM7yjAbIarrO+Z5BLEYD2W77uKyVeEpB03UkURj3jABUTed87yA2k5Esl33cOxJPKeg6SKKI2TDe/D9y/JGBfSRLJZFS0m6OM5fXqTjd0UNrn5876qtHV3BX+war8zNZWlnE4fMd/HLbId6zcj7eYauLPjzBdA6GMBtl8r0z64fXgc1nmnnf4nl86fZ1WIwGNF1HUTWsY9wiRlnm9tpKFFWjZdBPc//lq7QmFZWWQT/feuBO5ubnICDQ7g/wyGNP8vjhEzwwbxaSINAfjvLs8dPcVFXGX968CpMsk1RV+sMRTnf3sbayBKc5/S7fP6cWHfj9oeO8draZu2ZXsaykcMK5FU3jJzsP0NQ/yDffcQcLCvORRIFALM43N+3gBzv2UZOTydxhqwM6NPcP8re3r+P22kpkUSQQi/PZ3z/L08dO8ZFlC/DarAxGY3xn626KPG6+cs+tZNpt6OhcGArwyd88zX9u3c389z047h00GWSsJgMvH24kkVKuKc1bGJ5UTrf3crq9l75AGKMsYzYYUDSNDIeNHn+YsmwfzT2DNPUMEIwlaJnEwjVyvKVVRfx2xxEEAXY2tFCW42VpVRGPbj7ACwcbEAWBytwMqvMy2X7yPC8cOE1jZ9+47yaVOkUg9F/oehiTcQHMUCD0VPHc6QZcZjMdgSAZNiuRZJJt51uwGo0sLki7kDVdZ29bO881NJBUNawGmcFYjGA8QWWGj8ePn2BWVha3V1WSMYnF8koYSFzgyNArVDgWU2itnfaCTNV0frbtIP/4wM1XbTstkpCR5+XMwRaCg2FcGRPNHaqicvbwebIKfZjepKVaEymF9oHr93VlOe3Mys+6rtWzqmn0ByP86rXDGGSRpdVFLKkqZNuJ83zt8ddQVI27F9eMBoBqOrx44DSiILJqVgkGWWLHyfP8+9PbEAV4eFVacTKpqHzvuZ28eugsy2qKWTmrhL5AmD/sOs7hpg7+9ZE7R1eaoViCg+faaeoeINNl476ls+gNhHnpQCMtvYN846P3UJztQdd1uodCfO33r3Gmo4+b5lXgc1o5faGP77+wm86BIJ+5e/llVQvfSBhliY/etJi2Pj/P7DtJQ3svFbkZuKxm4skUPYHwaFrhF+5bM7oKSikqP3vtAGe7+inN9lLoc2MzGQjFEjR29rHvXDvFmR6WVhaOu+akovDfG/fR0jdEaZaXwgwXVmPan9vQ0cuBc+2U53hZWJ4/br+FZfm4rGaOtnTxL09uZm5xLrquc6Kth2NtXVTk+DjRNnnabr7Xhd1iZMPRM/QEQtjNJgTSZMTrsLC8qphF5QXj9DM8Ngufvm0Zf/ebV/j5awc50NROaaYXm9lIJJ6kJxCitc/Pw8vn8KG1C2b8uWbYrTw8vw6XxXzx2Nc59q8oK2JOXg6m4diSPJeTWTlZNPb2EUulsJtMDEZjJFSVYq8bo5Q2MRsliUKPm53NrSTGWBkFQYAxhOtyKZDBeIIt55qZn5/L0pLC0Xcow27jnfV1vHCykd3nL1wkCUB5po91lWVYhsmiz2ZlQWEev+w6QjCRwGO1cKKzh9ZBPx9fvgiH2URCSa/I3RYzc/NzONDWQduQn6qsi6toi9HAR25ezJmOPrx2KwvL8/HYraydXYZtCgXfHrlpEScv9OBzWNNWOIPMA8tmI4kiuR4HH75pIfk+J+9cMZcj5zuxGGX+7p03k+WyIwoC7145d1wwb21hFu9aMZfeYJgPrluA1WSgMMPFIzcvorGjD4Mk4XNYyXDa+ND6BbT0DnHngpoxAckCJuNiMr3/icFQOWnQ9I2GQZQYisboCAQxShIdwSANfUY+tKB+tI0kitRkZdAezGVNaTGRZIrv7drD/LwcarMymZ+by9qykmsmCIIgkGepIs8ytUJN53oGaBvws762jCf3nxyXxZdSVTqHJnoAJsO07vKyu+p57r838/h/vMi7Pn8XqnKRoQYHQmz+/R4ObT7Jze9ZgcP35qzCFk0mZ0RlsTjDTZ57BlZXOgSjcb76kTupK04PIPctm82f/OBpfvbqftbUleIaNhUpmkY8qfDvn7iPsty0z+q+pbP42Hce59m9p3hw5RwkQWDr8WZe2t/AB29exEdvXYQsSWi6zrKaYv7pVxt4bPMhPnfvylGm3ucPs7aujM+/YzUWowFV0yjKdPNfz+9i35kLFGW5UTWdP+w8wekLPXzz4/dSV5yDKFwkJE/tPsHqulKWVE1cZb3REASBsmwv3/jw3Ty29RB7zrSx8dhZ4kkFSRLw2KwUZ7pZUJY/bvUiSSKzC3No7hlkT2MbmxLn0DQdg5we1G6eU86H1y2iMMM97nyyJFFXlENL3xC7G1vZeCyJpukYh/e7ZV4lH1m/mAKva9x+VXmZ/M2D63ls6yE2H2/ilSNnsJoMlGR6+cQtS/A5rPzVL16ccH2qphFPKZRledlz9gJHznciiyI66UEhnlR4fNdxHlpWx+fvWT3qGxcEgXklufzHR+/j19sPc+BcO6fbe0mkVIyyiNdupTzHR23B9ZHhy6HQ7cI9liBcJyRBoNjjxjQmK0IQwG4yoOmQGl5R5zjtuC0WjnR0EUzEcVksDEVjnOjsptDjnmAZmgra/QEiiRQ12RPvVUWmD6Mkcbq7d5zjJtfpwGUeH3M1EoM14g5tDwQZjET59ms7+M7WXePaplQVh8mEPxYft10QBAp8Lgp849+vspyrW24FQSDX6yT3EstRRe5FErK0qghIWyzWzynnUswrHa8pIAoCc0omxuwUZrgnfDsVuRnjzjUCSfJhtdx61f7fKJR5Pbx85izZDjtGWabU66HQ5eJ4dw+LCwtGQ6nNsoHBaIzG/n5iKYVSr4eeUJhwMokgCJzo6WWJ0YjdOLOL6FA4zonTHVRX5qTHg2QKXYcXjpxmaflF0ppStSmXIZgWSSifV8w7PnMbz/xwAyd3n8VsNaFpGj/7pyfSFRWbeiiuzee+T92CcRIt+3A8gaJqOC2mq6ZH3ij0BSMzEo9Q7HNPqqF/zRCgNMdDbWHW6IPMdttZMauEx147RHt/YJQkCMDK2hKKsz2jbb0OK5V5GZzvGSSeTCst7jzdgstmYf3cMgzDK0cRgfnledQUZnHgbDv9wQg5w2JAoihw37JZo6sMUZSoLUyvIPqDETRdJ6kobD3RRK7XRYbTSq//ItGqyE1L7p5o6b5hJMFts/A3D96EpuujVhCvzcI/vftWREEYfRZum4VvP3Jv+rrH3ubh4MM/vXsV71kVZigcJamkCxvZzSZ8Dise2/hiZQZJ4p0r5rC+royhSIx4Mu1ikCURh9lErseBxTjRcmKUJd6zah43z63AH46NuiZG9rOLMk77xMJosiRyx/xq5pfm0ReIoKgqJoNMlsuOz2ElkVL4z4+/Y4KI0+7GVr7yxGayXDa++aG7yfE4RuNEVE3jQr+f/3hhB0/vO8m9i2ZRW3BRFntEwOmL71hH11CIQDROSlVH+5rpsuEwTy3Q6VohD9cumSmMaGdM7Ov4f7ssZj62fCHf27qbz/7uWXJdDrqDYQYiUf5ozTKshms3Z6RUNR1wfcl7B6SzrERhnIUCwCRPXvRqBDppq5RRlvnA4nnU5WZPaGOQJMozJgtyA11PoardiGIGgmBG10NoWgRQEQQTouhEuKRSYrrgVgRND4OugGBAFJwIwuXJnK6raHoQXYsBGggSAmZE0T686hcuOX4cTQ+CngJBRhQcCMJkcUI6qtaTbjcMQXQiiePJD4CmBdC0IKLoQ5xEiVDTImjaEILoGL6esfFDSTQtiK4nABFRtCGMaQNpkvBg3SwsBgOSILAoPw+f1cpQbHyckMNk5O6aakyyRIbVSrnXQ1xRsBoMrCsrJZiIXzXQdDpobR/g6999mb/9s7tYsqCU6txMNF1nUVkhn1y/dNSyo6ga//Ls5ikdc1okQTZIvOcLd1NYlcPGX++k6XgbBoNMW2MHWYUZ3PnIWu771C1kXaISOBLI9bs9xyjJ9LCyshiT4doGh5kapDr9129FkIZTSWZqgMtw2iekIxVne9B0nY6BILOHLQyiKJCf4RrVCYD0SsliMqQFdYaLQfUMhfA6rXjs4z88p8VEttvO+e5B/OHYKEmwmoyjf4/AZJCRRHE0jSqeUrjQFyCWTHHvl382/gLSopgMXSGw7nphlKVxkxuk8+zrinImtJtfenl1NIMsTbrKumx7SSLX47ysSuKV9svzOMm7ZL9UUuHH//YSsxcUse6ueRP2E0Vh0v0g/ZwuvbaUqvLolkP0BMJ87QN3Mq8kFxBGMzh0XaeuKIcDTR08s/8k53sHJ9xHSD/vyeSlbzRmmnpcmh57uXMuLy3imeOnyXc7KXS7mDfsJqjKnF6cVIYtrfzZF45M0MkPxBIkVZVM+/hg0qv1VABcFguyKFDi9XDnrKmZm0eQUprp7LmJTO8PkaQMAsH/JJE6gq5HkaViPO5/wGq+abS9rmskkgcIhn9CIrEPTQsgSj4s5ptw2T+FLJdPSOXU9ACRyONEYs+SSp1F02OIohODXILL8RmsljvHtU+lThMM/4RYYiuaNogoODGZVuJyfAqjYd4l47xG38AnSCQPAxog4nL+KR7nX0641kjsFQaG/gyP6x9w2j95ST81wpHfMBT8Oh7Xl3DYPgQIwySkm2Dox0TjG1DVTgTBgtEwF6fjk1hMa0ZdG0ZZpsjtnnDeXMP4cVMQBEq947+jkS/ZYjBcs6thqgiHE0SjSdQx8ScC8NmblzL2TZNEgQ+vWjilY067doPBZGDtg0tZdMscwv4oqaSCIAqYrSZcPjuGSSwIug4nO3o43NJJcYaH/nCU7Y3n0XUoy/JyuLUTkyyzflYZJ9p7CETjlGZ6iadSrKws5sWjZ3hg0awZIQr9ocnz5K8FgihQ6HNf93FGj8dEEiQKAlyikicKAgZJvPLqQ09/jOnMhIm/i4KApunj8q4nX32Nh6pq6LrOspoiPnbbkknbZF9GpvhtXILhjJOZQCyZYigSxWo0kOmcKEAjCAKKojIUjiIgjBb9+r8MXYdnj5/GH43xvYfvIdN+deGedKYBhBLJSX/Pdtqpzspgf2s7gVgcz3CND1XT2NZ0Hh1YXJx/TaRIEASqs3y4LRa2NbVwW20Fbovl4nWQ/i4l8UpH1YjGX0VRziNLBbgcn0HToihKM5I4fjJLJPfTN/g5RMGBw/4RJCmXVOo04egfSKUayfT+CFm+6DbQ9TCD/n8kGnsBg1yBw/YBRMmHqnaRTDUgCE7GTlAp5Rx9g3+ErsewW9+NLJegKC1Eok/SN/g5snw/xWgYS4REMr3fR9NDxOKv4Q9++7Llui2mFUhSDtHYSzhsH0QYox6r62FiideQRB9m0wpG5JlVrY+BoS+SSB7GZrkXo3EemtpHJPYMA4N/js/zTSzmm990MVaTIRpLjs4V0WQKgbR+iqJpw5aLixloJZlTWwxcV+SHIArY3Tbs7qunWUF6dTSnMIfavCxunl1OTyCM22qhuXeQzqEg5VnpssZ7z10gkVL40OoFaLrOE/tOcLKjl6KMqa36poKhKUpSXgmiIJDnnrkJ0R+No2naOBdMfzCCIID30vz0q7yvFqOMy2amLzBANJ5Cd14MukqkVALROHbLxPoOV4PFaMBpNZFUVBZU5I9LcZop6LpONJxgy4vH6O3yU16by5I11eg6vPrUQVbfXocnw4GiqOx89SQ5BV6q6vLpaBlg16aTxOMpFq2spHZ+EYIgcGRPE6Ik4B+McO50FzVzCli4spINTx1k2fpaMnNcqKrGntdO4/LamF1fPOmAsPGZQ8xbWg66zktPHuThR1YSDsY5daSNFTfP4syJdg7tPofJZGDNHXPIKUh/hH1dAbZvOEE4GGPO4lLmLSmbcL3nz3RzbN957nhoEWbrtfsprUYjmU47Z7sG2HKymYeW1Y0qFeo6RBJJnj9wmn3nLpDttk9qRXiz4mIK78VaLOk4i7TFTCBtxr/mQVxIp1b2hiN87dVteKwWBNLpjrNyslhXWYbpEuJc4HZikmWeO95AgduJ02wmlkqR63JgMxoxDbsEvvrqNr6xcTvvWTQXj8XCgbYOfrbnEPPzc1lWUnjNfa3OyuTuumoe3XuIb2/eyV2zq/FYLATjcRp7+zHJMg8Pp3ZeDrH4ZtzOv8Bh+8DoyljXNcamtmpamEDoPwEdn/ebmI0LhtupSFIO/uA3CEcfx+X4IwQhnZoZjW8kEn0Kq/kWfJ6vIUmZjAxQadP92EqlcYLhn6BqA2R4voHFfNtoFo3RUEP/0J8TCv8Mr/ufEYZ1BdLy3Wn3paKkBd4uB1HKwGJeTzT2CsnUUUzGZaP3WlHbiSf2YjXfikEuH72uSPQp4om9uJ1fwGn/yOh5zea19PS/h0Dov7CYVwE3Nmsrpah0dAxdV6LxhY4h9OE6SDsbWzDKEqtrSnl833EeWlR31dTXyfCGFng63dlLNJkaDRKzGA1IoohJlggnkpzq6CXX7WBhaT6bTzbxjoUzY0UACF4S5DMdjOSezgh0aOsdoq3PT3FWujJXLJlib0MbHruV0pxrMwGbDDKLKgvZdaqV4y1dFGW506fRdZq7BzjT3sfs4hyy3NcWWGo0yCyrKWbbiWYOnmtnUWXhqLtlRM1QFLiuWJNYNMnP/mMDVruJ2nlFbHnpGIN9Ie597zLOnuzA7bOz+vY6wsE4Lz1xgE//zd30dQX44ddfYMmaKjJyXPzqB6/xgc/eRO38Is6c7ODIniaW31TLrPlF2GwmDEaJzrYB9m1r5M6HFxOPJnnp8QN86I8vnxLU1tyH3WlBFAW2vHCEhSsqGOwL0tk2wImDLTz58x3c+sACgkMRfvRvL/JHX7oH2SDzw6+9wKz5RZRW5fDUozvRVG0cUTh3qpMnfradOx5ejNE8vU9SlkQ+vG4hTT0DfPfFHTy7/xSl2V4kUWAoEqO5e5D+UIQCr4vP3bViUrGoNytSqsZPdu3n5dNnCScSDEZiJBSFD/7i9zhMJhxmE//v7luozbk24hOMxUmqGjkOO62Dfjr8QXTS5cR/d+g498/t5M/WrxzNOhAEgdqcLN63aC7PHm/gkceeRBZF8t1O/uWeW6nMykAUBG6fVUVcUXls/xE++7tnUTUNi8FATXYmf3nL6gnuhqlAlkQ+sWIRRkni5VNn2NjYhKJqGCQRp8XM/XNqr3oMg1yB3frwuKyAS0sfJ1OnSSaPYzavw2iYNaadhNm0HFH0kEjuR9PDSIILSBGNvYQgmHE6PoUoXiQI6f3GW6wUtZNEYhdGw6zh1fzFla3ROB9ZLiaROoqq9iHLl3cXXg4CJqzmW4hGnycW34bJuJiRaS4aewldj2OzPoAgjBDoOLH4K4iiA5v1HaMEIX2/yjAZ5pFMnSSVOofReGPLlQ8MRvjcX//mmlVAxyKlqKOprv5YnKSiEE0k2d/czh1zqiZYpKdCGqY1IqmKSmAghNPrQJLFUSYY9kdp2N9EPJqgZlEZvjzvBD17gNvnpU1Jc4tyuTDgZ3Z+Ng5zWm7WJMu4rWaSqspgOIqiadhNRuxmIx77DE3IpE0x1wuzwTAtZjYphLQQzvef3827Vs/DbJJ55WAjJ9t6eHjlHNzXSEYEQeCW+ZW8fKCRn7yyD0XTqCnMos8f4bHXDhFJpHjX6nlYJnELXQkGSeThVXM5er6Lr//+NR5eNZfK/ExSikpbn5+2Pj8fWF8/ISr6WtDTMcS5U5385dcexum2Eo8lefWpQ9z73mUsXlPNod3nWH5TLedOduDNsJOV62brS8ewO82suX0OkizSeLydAzvOUjMvvQLJyHZx5zsXI4+urnVW3DyLZx7bzfq759HU0InNbiK/OOOyRLSwNJOuC4Nomk798gqaz3QTDkQpLs9ix6snmLu4lAXLK0glFXZsOMmF5n5ikQRKSuXm++qRDSLtLf3sfa2BuYtKAehoHWDLi8d4+COrmL2gZNLvZapYVF7ANz50Ny8ebOBISwf7zrah6WA3GynJ8vDQsjrWzC6jMsd3Xee5XqiKRjKexGEy8ufrVw4X47r8eyiJAqsrSi4bmCcIAtnDyou12Zn8y723Uuob31YWRT60ZD731NVgMxpJKiq/2HeEl06f4S9vWUNdbtZoJkgwnuA/t+1my9nzaTXDMWmFdpORP1qzjJuryhmIRBEEAa/NQoHnopXTKEk8NG82S4oLaB0cIqmoeGwWKjMzcJiMo+9Xpt3Gl++6Ge8khO2O2koqMn3jFCWdZjOfXb2UO2dV0RkIEk8pmA0yWQ47JV73Ve+7LBcjildeFKhqD5rmJ5HcT//g5xg74WtaCE0bQtX6QU8Mbwuiqj3IUh6SdOVCQyPtFbUbTYvSP/Rn446v6zFUtQtR9KHp03MHC4KAybQMScojFt+I0/FJJMGDqvmJxbdgMFRiNM69eE5SpFJNaHqEQf/fjusPukpSaUDXE6ja9WvqXA26rhOOxJElaVxtk2s7yMU/5xRk871Xd7O/uZ3jF3r48lObxll+8zwOvnDn6hsjptR4sJmvffSHfP57H6F+fdrEFRqK8O3P/Df7NxxD1yGvLIsv/PDj1Cwun9CJiux0UJDPbp1U5nUkQr3I58YfjbPnXBvrastmNBp0rJrbdGExyjMWcCUAq+tKcVpM/N0vXyYQieOwmrhv6SweuWXRtMSaPHYL//j+W/mfV/bxgxf2EIzGMRtlKvMy+PL7b2Ne2bVXlxQEgTklOfzzB2/jpxv287ONBwhG4sNqglYWVuRfl7AUQDKRYrA/xP986xUkSUTTdHKLvKiKRvXcQjY8dYj+niC7Np9mydoaLFYjIX+UptNd/NdXngPS0bvF5VnoWrqMuC/bOUoQRq6jtCoHURI5d6qTnRtPsXhNNVb75X31JVXZbHr2CLFIgrV3zmX7hhMkEynW3DmXjc8epqmhi3OnOtEBq92MyWygrztAe0s/3/+XdL9UVaNmXuEooz+ypyndX0WdNHbkWiBLInOLcqgryE6b5McMGKKQrr4oCG+8ImbbmU5++60X+LPvPsKy0qtnwUiiyNy8nHHaApdDht3GTVUT0/EkUWRu/sX3vTcUZtf5VioyvKyrLB0XfOy1WqjKyuBgW+ek44TFYKC+8MqrXFEUKPa6Kb7C5G0zGVlbWYqiBfHH92KW8jAb0q6I8kwf5ZMET0qiSEWmj4ppBFZOpUS7ThIdBdDRx1RwhXR1V7NxKbJcCsMrbp0UOql01sMUphNdV9IuCJEJxwcwGeqRpJzrKicvCi6sljsIhL43bBVZTTJ5mJRyHrvtPUji2Huno+kxQJy0P0a5BkG0IU6SSXGjcM/tc3n/O6dWV+FSbN7ewI8f3QZAdW4m//rO2+kcCvLdDTv54Kr6cWm9U03xnRZJOL6zkWQ8hW24AJGmaWz+3W6ObD3NmoeWUD6nmGd/tJGnvr+Bz3/vI1gd07cAuK1m7ph7bdG8U4EyiaTrtUK+SvDgtUAnPWj8yf2reHDlHGKJFFaTgYIM97jV/ryyPL776fsnZCEYZZnP3LWcaCI5msIoCALFWR6++M71dA4EiSaSGGSJLLd9gm77p+5cyvvWzcc1XHpX13VUXac028u/f/I+fA4rTf5BXjhzhs8tWcrcklz+3wdvp3soRDSRQhQEbGYjWW479ikItYQSCb6/fx8fqV9Alm28+dXptlFQksE7P7qarDw3ipIOyjIYJTKynVTMyuPF3+9jsC/EghXpokrFFdkUV2Tz4T+9FYvVSCqpYHOYEcSL4jeXwuYws2RtNc/9Zg+phMJ7P7nuis/T7bETDsZIJhWq5xTw4u/3kUwqZGa7qJydTyya5J73LEGSJFJJBU+GHU3XKSjN4IOfuxmbw0wqpWK2GEerI95y33zyin089YtdOJxWymunL+8N6WcuSQLSFOVa3wjomo6SVGZY5PnaIIkiRllmIBqjOxgiy2FHIO3a6AgE2X2+jWyHjcwZrFUxGXRdJZQ4RizVgtmSj6KFkQQrihYc/j2FKJqRBPvrQu5EwY4gWLCY1+N2fAGEie+RgIQgjJRRtyAKFhS1E02PoQ+XCb8c0imXDkzGefjc3wRhYnyBgDh6/OnCarmVUOSnRGMvYjYtJRbfBWhYzTeNcykIiOnATUHC5/3OuN8uthHGBUDeaGRlOsj0TS/WLSvDOU4e32U147CYWFNTRl1BzrS0P6ZFEjqbe8kuysCbk9Z9HuoJsPWJPZTMLuATX3kPnmwXkWCUDb/cTtgfvS6ScKOgzkBY+UznuWq6jtVkpCr/8pXGXDYzc2wTLQCiKFCaM7k51mY2Upk/UZhkLEqyx+/bH41ytLubm8vKmFOSXsEd6e6ieXAQbVh5zmk147ROj/Ermsa5wQGSysSVWnaem7vfvYQnH92J2ZJO65y/rJxb7qtHkkRW3jKLL//JY9z2wEIczvS7Vb+igrOnOvnF9zZiMhuQJIE737mE6jkFgDApSxAEgaVrq3nip9tZvLoKh9t6WRljXdex2IzEIgmKyrMwWQzYnRZSKQVJFrntgYX86gebefQ7ryJKIk63lQc/vJLaeYXULyvnl/+5CbPFAALccl89s+qLQQCTxcicRaUM9Ib47Y+38Nkv3Ys3882XHdLfOcT5Ux2kEik6z/dSMbeIuuWViJLIrucPU72ojMw8D0N9QY7vbGThTXWc3t9EKqGQiCbILPTRfrabVfeNpF0J7HvlKH0dQ8xeWkH1wlIEUUBJqZzcc5azR1rJKc5g2R3zMJgM6JrOrhcOkVeWzdEdDRjNRm5657JpBXlCWqnwntnVfH3jNv78Dy9RX5CLLIkMRqIcaOsknEjwd3esI8d5Y5+FqseJJs+i6CESajf++G4yrHfQEfgfBEHCKOeg6UnyHO/j9Qghk+UyJCmbZKoB0BFF17hJf0I9EsGJQa4inthPMnU0HRA41mJ/SXtJysIgV5BSWtH0ELI4Pkj40vbTQTrQsRSTcRHx5AFSSjOxxCYMcjkm4yVpf4IJk2kRsfgWFKUFk3HRjPfnGnuP2zl9QmKzGif0VQDes2zuhLZTkWyHab51qXgKs9WIcTgvv/n4Bc4dbeWRf3wYT3a6tHNxbT7+/tBo+eg3HWZgGTOVXOy3InojYTY1N7O3vR2PxYLNYKA6I00ydKAtECCmpMiwWsmxOxCAaCpFRyjtJ3WaTRQ6XUiiSG8kgqpphJLpHPECp3NCUS5N17kQCGAxyGRabYiSyPL1tdTMLSQeSyHL6Ul35IUuq8nl3376cZwe6+iAZDBIvOtjq/EPREilFEwmAy5fejVyx8ML0bTJH7jBKJOR42LhqkoEAbraBskt8k4YKAZ7Q1hsRj77d/diNBqQJJFHPn8rup4maL4sB5/4izsIDEXRdR2rzYTDbUWSRO55z1LyCr3YnBay8ty4vXZkg8T7PnMTJlNaSGfVbbOZXV+Mw/XmI9SQJgk/++cnWXnPAnJLs/jdt1/E/uWHKZ1dwNanDuDLcZOZ58HfG2TLk/uoWVTGhl/tpGp+MYdeO0XlghICAyEsNhMFlTm0n+ump20Ab46LX/3bc3z0nx6idHYBO58/xN6XjrL87nqObm9gqDfI3R9dhwD84fsbqZxfTN2KKpRkCtlw+Sj3q0ESRe6fW0uuy8GrDec40dWDpul4rGYemDeLdRWlVGT5bvjkIIs27Ka5aHoUs5xPNNWEjoKOhlHKwme9jZ7QE8Mr9BsPg1yCzXIfwfAPCYS+g932gWFTu4auRVDUDiQpG6OhBkgHPtpt7yQSex5/8FsIggWTYQ4IBnQ9gaYOIYjW0ZRGSczEbn2YwcBX8Af+DZfzc4hieoGi61EUtQtRsAzXZbgIHR10DZ0Uw0mf6HoKmFyIShRcWEzr8Ye+RST6HIrSgsf5t8B4Uilgwm59J/HEboYC/4rH9dfIUiEIEroeR1V70fUoZtOaG/4u+Lw2fvDN95OX6572MZwOCxk++7iYhssterY2nGdtTemNiUlweO20NXQSi8Sxe2xs+u1OzDYTy++uv3hCHXRNe0NNim9jemgPBDnS1UWL38+uC21k2myjJKEjFOSnhw5iMci0BQL847qbKHA6OTswwDONDRhEkXODg3xm8WIW5xfwfGMDO9paKXF7CCTi2I1G/m7NunHna+jv4/v79vFIfT2Zw5VARUnElzV58KMkieQVj/fJCoKA0WQgK889ob3DNZGZK4pKe0s/x/efx+WxUVGbx+kjbWx86hBr7pyD22tPFzeKJjBbTLz2/BHyinysuHX26ESejKc4e6KDeDSJwSjjzXJQVpNL47ELZOV5OLD9DN5MB5Wz8wkMRiitycWX5eTwrrMEBiLMWVKKZ1i23GCQJ+37mwkWm5kHPnMLJouR5hMXaG3opHR2wWXbq4rKuoeXMtgToHpBKZFAlIEuPwWVOTg9du7+6DrMNhNdLX2c2H2WklkF7HzuEOsfWsqiW+vIK8vi0a88xbqHlmB3pa08y+6cz7zV1TMyYJtkmdXlJawuL7nuY10P0osNEUl0oqhD9Ec3oJNEEIzDpu7pk6Fr7osg43R8ElXtJRT5DZHYS8hSDjoamtqPpofwuf91lCQAGA1z8bi+hD/4b/QP/kk6QFKwomkhVK0Pl+OPR0mCIIjYbO9CUS4QivySeHI3spQujKRqQ6hqL27nF0ZJgo5OLL6JWHwLuh5DSbWg63GisQ2oag+CYE5nbdjeiyjaxlyHgMVyK/7QfxCK/ApR9GI2rZzkegXMplW4HX+BP/h1egc+iiwVIQgymhZCUTuwWe7CbFpzI2/78H2Uqa269jixsSgu9PEPf3kP+bme0bRhURBQNZ2xK+OUqvHi0UbW1pRe9ZjTIglzV9Ww4ZfbePZHG7G5rOzfcIx1Dy8jI/+iybqjuQe723ZdbP//CqwmIytrS6guuLyb4fXE/Nxc+qNRZEniM4uXjCsVrWoaf7JsOS6zma/v2M7xnm4KnE7qsrOozshAEkV+fvgQ+zo6WJSXjw64zRb+fMVKYqkUX3x1A52hEE6TCXQ4MzDAC2cb+fiChczNuXp09EwhlVDY8sIxVEXlg390EzaHmaxcN0VlmdTWFxOPJnn+V7txZ9i5+f4F5Bf7mL2wBIf7IuHwD0ZIJRVC/ij+wTDhoIf8kgyaT3chCAKpRIrMHBdWhxlJFomE4kiiQMf5fm59cCFG8+tbwe564cl2IRtlBFHAYJRJJdKuorFPTB1bFEkUMJhkZKOM2WokFo6PBmxaXelUUlEUcHrthAbDgE7vhQGe+fEmXntiL5qmkZnvHc37ttrNOL1XFzx6MyGsROiO91FqK0KaxL8PYDfNAUBAJs/5IUYG87Tv30iu431TCgq8HETBjsV8BxcSdgypEE7DlV0oouDC6/kKNusDxBKvoSrt6d6ZVmIyLsVsWjGuvSDI2K0PYzYuJRp/mVSqAV2PIxq8GA2zsFhuH98eE27XX2K13k009gqK0oqOism4GJNxARbzunHtNXUQVekk7f5wYjXfkt6uBYAAgmAdDrYcD1nKx2n/CMnkcYzGucjy5PongiBjt70Ls2kJ0fgrJFPpjAajoQ6TcT7m4f609A2R63ZMyGiLJVOYZOkNKzEwFhazgZrKNNE4cL6do23dfGTNQv75qU3EFWX0W1U1nd5geErHnNabN39tLfXr63j+vzejazrFNfnc8/GbMAybOFJJhYb9TeSXZ2O2va3sdjVkue380wdue6O7MYoRlUZh+O+xkd/5DideiwWDJOEymQgl08pznaEQG5uaaA8GOd3fx6K89OpAAEo9HuxGI0ZJRBIEYkoKp8mEomv88MA+qnwZzMrKmlH9/qvBYjPxyJ+OLxRjNBkYSTFQVQ3JkFbXG5nsJuQv62C2GjHbjMihtLBMyB8jFk1QUpUDgsDRvU24fXZ0PW15UK+QPfFmx7i0yTF/ykaJSChGKqnQcqpjSq68wW4/kUAMBIGulj4q5hYhIFA6u4DZSytZfNucdNVFUcDhsTGicfwW4gcAdMV6eaFzE5+p+CCSNPmzF8cEy0mTBMhJwvW5oGQ5n0zfT/nd2Z8hWzqpc1Vfsb0gCAiYsZhXYjFPXH1Pvo+MwVCKy/CZKbQVACMm43xMxvlXbouA3fYu7LZ3Takf488j4Xb++RTbyhgMFbgMFRN+i6cUYskkrxw9w0NL6lA0DU3TMRvSro7XTjYxrziPLFdakjueTBMWi9HwhqYal2R4cJrTi7HBaJQPrKgfzTxLKSq/3n10SseZFkmwOi38+fc/yvGdjcSjSeatrhmNRQCIhmLMWVlNXlk2jimqMb6NNxdEQZh0rJ8sWFPVdb65cyfLCwv53NJlPHHyxCh5GL/P+A9GEgQ+vWgJL507y4Zz57izsvKGKDhOFQ63hcxcF6cOteJ0W1lxy2yikQThQIySqhyaG7px++y4vGkXgdtnw2CUcLqtZOW6MVmMnDvVQV5xBgM9QXo7BskrziCRSBGPJOhqGyAr101esY/dm05Rt6iU7PxrE8l6s0EUReavreXFn2/lyNbTBAZCk0qyXwq7y8pvvv0CoigQ6A8x/3O3gwB3fXgNz/x4Ey2n29F1KJ9TyLqHl/4vjf55G292JBWVX+04jM1kpHMoiKrrbD3VTE8gjM9hZWFpAZtPNtEdCLN+VhmBaJwjLV1Ek0lun1dFWZb3DbN8ZThsZDhs6LrO/Qtms7T8otKnpuscbeua0nGmXbvB7rax/O4Fk/7u8jl415/dPZ1Dv403CbJsdnrCYTY2NeGzWlmYd+W8cEEQiKZSHOjs4GBnJ1UZV86mGNmnyuejxOPh6zu2kedwUJ97fSmA1wNRFFl1+5xJf8vIcVExK3/ctqy8iRP87IUlo3+Xz7p4z+55//LRvxevreGthuKaPD78pXcgG2SE4cncYJRBgLUPLqaqvoRUQsGX4yIRS+LJdPHI3z2AzWnlno+tw+awoKRUFEXF5rTw+e8+gqqohANRfLluvFnpRUbF/GI+8g8PMdjtR5RFMvMvCrJ96l/eTWbB5Bk8bxbouk53vI9XurcSU+Nkmy8qECbUJE+0v0ihNY8TgUa8RhcP5N+BJEgcGDrKkaFTaGjMclaxMmMRW/v2UGjNJcuUwc/OP877i99BV6yHmJZguW/ysVfXdZojbWzt3UtUjZJryeb2nDVYJSsaOkeGTrG9bx+yIHNH7loKLLkousrugYMc9zdikoyszlxClb2UJ9pfZF3mMrrjfewaOMhHS9/Nlt7dlNoLyTZlsrl3F+3RToyikXVZy6h0XN2//VaDPxJDUTXetWwu33tlJ7FkisFhSf/m3kHuXVBLTV4Wd9fXkOGw8tiOw3T5g5gMMoPhGGWvs/p5R+cQv/j9bh6+dyGV5elqoYIgcGvdeAuJKAi8b0X9lMbaN1SW+W28eVGbmclH6us50duLqqdlPnPsdu6srEqL8gDLC4twmkxIgsCfLF3G1pYW+iNR/njZstECOPW5eahaen9JELivpoYMqxWzLHNfdQ1OswmH0cRnFi+hPzpRzORtvDlgsZvJt1/MSskcE39kMhspqc2fsE9BRTp1NqtgovCPuegypndRJCPPQ8YkBKzwOoO6Xg+ousZLXa/hMbq4NWc1z3duGv1NQ+PA4DGcBjsPFtxBSkthFA3o6PiMHu7Ju5mQEuFXrU9R66xAFiRaI+1ElTjd8V76EgOcj1yg2DrxXo8gqaV4oWszS7zzKLUVElIiGIbdGVElRkgMc1/erRwLnOalri08UvpOTgbOsG/gCA8V3MlQKsAf2l/iU+XvR9EUuuK9tEU7ORdqIabGORs+z1x3DQ2hJi5EO3io4C7iWgKH/L/TYuy0mtF0necPnyYST+KPxmgfDFCe5RtN33bbzGw8fpa1tWXMLshGEgRsZhNl2a8/oe3tD/HajkbWraweJQm6ro9WJB1bGtsxBT0buEEk4fXPLX0bMw1ZFFlZVMzKouLRbSZkOpuHOKBdYFlNMcsLL6rllXu9lHsnfhT1uRcHdkkUubf64ip67N/zc978E8BYKKpGNJkkmkgRTykkFZWkqqJq2mhUsTAczyGJAgZJwihLmGQZi9GAxWiYUDzobUwPIwWgYsm07ziWUkgqCklFQ9FUNE0fDZgcibGRJRGDlH4eZqOMxWDAajKMC9KdDlRdpSfez83ZK8mzZLPct4DNPTtHf7fJVhZ46sg2jZH/1iHHnMVAcpCUpiAKIkktRaE1j539B4iqcea5Z3Eh2slQMsBSX/1lzy+LMuW2YvYNHEXVNWY5K4eJCJgkE0u888mzZCMIAscCDSS1JKeCZ5njqqHUXkSxrrG7/zDnwq3kWrLoTQwwmPRT4SjhdPAsmq7hM3pJqCnCSoy9g0eY567FY7wxioTpMs4a0WSKWDJFLKmQVNV0jQJNG332cFFVdPTZGmQshovf23RinswGmfevmk8ipbC6phS7yUi+x4UgpLNjAO6uryEUS+C0mslx2ynN9KBqOk6z6XX/viOx5ITYKR34+nNb+Pwdq0blz/tDUZ7Yf5xP37T0xqRAXg3nzvbgclnIyn79pCwvh5Ebpg2X5dXRx71Yb2Pq8NgtzC7OIZlS0XWdtj4/+xracNrMLKjIp6lrgMVVhRxt7iLX66C9P0BTZz81RdnMK33j3AjXg5F3RdE0+oIRznT309jVR8dgkP5whKFIjFA8QTSRIppMkRohClqaJKQHLBGzwYDVaMBmNuK2WnBbzWQ6bBRluCnJ8FCe5cVjsyAK4mjJ37fi/brRGH0eqsZgJEpjVz/NvYO0DfjpD0fwR+IEY3EiiSSxpEJCUVDUdOVIhjUtZFHEZJAxGwzYTUYcFhNuqxmf3UqB10VFto/KnAyynXYkUbzmCpMaGuJwJoN0SfqiSTRiEAzjjjeY9POH9pfxGt2YJRMxJV18LsecxVAyQEiJsDZzKXsGDiMhYpUuL2AmCSK356ylMdTEwaHj7B88yodLHsZlcGIQJEyScTgwUUyvMHUdTVeRxfRUICAgCSKqppBryWL/4DEiSox57lqOBxrxGT1IgkihNZePlr6Tg0Mn+G3bc9yavYpF3omCPVPFyDitajopVaXLH6Khs5eWfj/tgwEGI1EC0TiBWJxYMv2tJZWL3xpC+tplScRsSJM+u9mI02LGbTOT5bRT6HVRmZNBRbYPt9WCJApTIoVOixnGxI5mOsdbTUZIyAh8julZVUaex/UgGkmMk2NPfysqfaEoSUUdDVyMJpO09A1N6Zg3hCTEoknisSQ2mwlRErFYpqeKdi3QdZ1YSiEcTxBJJAnHk6P/HYxE6QtF6AtGhv8bprlv8LrPGUkk2XSyCdObLM2zPMtH+Q0OmEkqKttPnGfV7FKONnfS3h/gdFsvBRlu9p9p475ls9l4+CzLa4rZdryZshzvpOqMA+EoR9u6SF2jTLZBklhQkofbemPEhzRNpy8U4XRnL0dau9h9rpW2AT+JlEpKVadEMnVdT1sYFJVIIsWlJWIE0poPsihikmXyPE7mFGRTV5hDeZaXAq8Lr916zSsgXVdJpk6gqF2YjYuQpCvHhyhqN7qexCAXctUa5G8QkopK24Cf5t5BDpxv50hrJ20DAZJquurdiEvralA1HVVTSSgqwViC3kt+l0aInSyR73YyvziPhaX5VOZkUOxzX7WgmySIeI1uzoTOY5dtHAs0XDUlozcxQH9yiAcL7sCfCrKxZwcAZimtk4CuU2zN5/nOTRRYcjBfgSSkNIW+xAB5lmzcRiePtjxJMBXGZZhcc0QQBCodZRwYPMYcVzXBVJihVIASWzrIrTPWQ7mtmHJ7MU91vMwdOesAGEoF0NFZ7ltAQktwNtwybZIQSSQ53zdIY1c/h1o6ONzaSX8oSmr42U5pQaeDomsomkY8peAnDoHxTWTxIokozfSyuCyfOYW5VOVkkONyXHfNmetFOJLgqecPp4WjponGcz2o6sVvobl3kD/sP8HJ9m6+8szm9DXqEIjFWVx2eY2TsbghJEGSRbZvbeDokTYyMx3cfte8a9p/lFUOm5rSH3Z6IEgp2uik3xsM0xeM0hsM0x+KEBomCNFkKv3fRIpoMjksJDHz6AmG+Zvfv3xDjn09+PRNS/mjW5dPe7g/PzDEt17bwYeX1LOoMH+0yqeqacSHGbyiaoik63Zouo4siSyuKuTXrx1icVUhxuFiSpIksrqu7LKa4We7+/nb379CKJ64pj6aZIkfffRBFpXmz1z9DF0nnlJo6R/i+cMNHDjfTnPv4IxUDJ30fKTdFoqaHtgCsTinO3t5Yv8JvHYr+R4nNbmZrKkpZXZBNk6zCeOUXRQikdiziIINi7T6ii2TqdNomn+YJLw5oOugaCqB4QJvr51u5nRnH51DwWsmlNcCVddRlTSJaOzup7G7nycPnCDP7aAyJ4ObZ1WwrKIQr92KLE6s3SIJErdkr+KFrs2cCpwh05yBx+BiRDLJJlsmkL5ccxbZZh+PtT6Fz+ihzF6EKIgICGSafRgEGZtsxWfy4DDYMYqXzx5JaSn2DhyhJdqOiMAsRwWZJi8CYJEsyMOWDUkQsEoWBATmu2fRHe/jsdanEAWRNZlLyTFnElIiyIJMib0Al8GBRTKTY05ruVyIdrG1dw+qrmGVzdyZs37K91jXdRKKSl8owqaT59h1tpWmngF6g5EbauFVtIsk4nBrJ4dbO7EYZQp9burys7l9ThV1hdk4zKbrdjtNB+FIgp/+egczeQsKvC7uXziLtgE/9y2oTbtIhHSRsqkuJAX9eu0bk0DTdDRtxC/LuOp7l0JRNULxOIFogkAsnjYpReP4ozEGIzH6QxEGw1H6w1EGQlGGojFSqgaMdR/M9BW8tTFCEqarO3Cko4sPPvY4X7vndu6aVTVKErqHQmw91oyOzuq6MtB19p25gMNiYu2cMnTguT2nWDu3jAynjaPNnZzt7CfX62RF7eRlkPeca+Pzjz1/zSQB4D8+cA+3zK6YkY85qajsPtvKc4dPs63xPNFE6k2jFioJAj6HjVVVxSyrKGJRaQFZzouiQoraSyyxHV2LYjIuwGioBXSGgt/AYlqJxbwaXVdIpI6TTJ1CFKxYzOsRBSfJ1AniyUOYjQsxGeegKF0klUY0LYAsFaJoXVhN6xHF8fn7uq4TS2zFZKxHEl3EEjsxyFWAiqJ0oGp9qNogdsu9iOK11T9QNY3jF7rZdLKJV46focsfetO4B0VBIMtp48651dw0u5x5RbkT0nZ1XUcjXYVzJJVYHKbsGhoi48lFur2OrmvD24XR9iOrSgEBbViaOa3COPk7P/ZYMGxOn+TcI30UhwuB6ejDNVkY3Tayz0hvxrcHTU+Pw4IgTLimy/Utlkxx4HwHLx5tZMeZFvzR+HWb2GcKkihQlZPBHXOruWV2BUUZ7tdVu6WrJ8B7P/Fjigt91FReveLpZLjQMcSpxi6++vcPsHxxuhqqruvsbbrAgpL80cXbteCGWBJazvfyyovH6O8PUVGVw3vfv2JCG13X2XGmhf98dTexZIqEopJIpX2II4Fgb+PNA0EQyPU6ec+6+eO2F2S6x/374dUXTY7zy/OZX375SOzrRU9gaophV0JKVTnV0ctjOw+z80wrgVh8Bno2s1D1tDraHw6c5OVjZ/j4usV8bO1iZElA1YL4g/+B0VCLLBcwqjo0geJoaFoIWconmTxBKPJbXPZPIUnZaJqfeHIvJuMckso5ItFnEUQbcAgBCUlwTyqqE4o+jiwVIokuwtHncFjfjU4Mf/A/cNofQRYzgakNSiOry8auPn635xi7zrbSH46+aSaQEWi6TncgzM93HOT5Iw2srCrm3cvmUp2TOWrlEQQBCWlSz400yf1ItxcuU3Hx4kGkKdgGr3Sssece7eOY80ym+zO2zfj2IE5RLlrXdULxBAfPd/Dr3Uc40d5DMHbti4IbDVXTOd3Zx5nuAZ46cJJb6yp5cPFs8tzOa45LuR6sWlbJI+9ZfvWGk+DVrac5c65n3DZBEFhaXkhSUdOLseFPShQFbKarhwLcEJLQ3R1gybJyQqEY/qHYZdv1BSOcaO+57O9v421cCT3B8OiUeK3QdZ1ALM7je4/zy52HGQi/NdIvdV2n0OsaDW5Mpc6io+CwvZeRCTm9Urx0TxlJyiCe2IuqDaBqQyCALGUjy4VoWjqISUDAIJdiMFSgKB2IohtV67+WHiLLZcPSuVcXVRohAef7hvjN7iO8cKTxTUnULoWuQ18owtMHT7HldDP31tfyvuXzKfSlg7XfyKDTKxGr17NfI0GmB8638+tdR9nWcJ7kDXQVzRRUTaOlf4ifbNnHhuNneNfSuTywaDZOy+uTreB1WzFMo6QzgMNunsAPdV3nRHsPTx04SX84Mjo25HucfPGetW9MdkP2cFZDY0PXuGpUb+PNB13X6YtE6AyEUDWNbId90naqptETCtMfiZJQFGRRItNuJdfpGDW3tvsD9IYj1GRlYDWOZ6jdwRDt/iC12ZlYjYYZ+dh6p2lJUDWN0519/PtL2znY0jHsvnprwG21UF+SN+b+qQjDk/GV7qmituMPfheX49MY5CLC0efhchRLMAASgjAiUz35/RGGLRa6rqLrFyf2tHth8up8l2IoGuf5w6f51a4jdA4F3zRuhWuBPxrnV7uOsL2xhQ+vXsAdc6txWl5/+W1V1bjQ46dvMEQskZpgTHI5LMyrvnGWvbHQdZ22AT+/3XOMZw6eeksQv8nQOuDnO6/sZOPJc3zm5mUsKs2/avDqdGEwSMyuyacgf/r6CrZJiIwO/HLnYRaXFlBffDHLbKquhxtytaVlWfT2Bli1thrP27LMb1rous7xrh7+bdN2zvT1o+k6ZT4v6ypKx61EdV3n5Yaz/GLfYdr9QSKpJAZJIt/p4OPLF3H3rHRVvuNdPXzphVf51v13sq7iYglSVdP48e797Dp/gR+9636KZiinuicYTi/ppkg40sGXOq+eOMt3NuzkwkDg6ju9yVCZ4yPbddHHL0tpK0AieRBZKkRHQ5ZyhydtBV1PoOvJ4X/rSKKPWHwboKQrtZIAPYmup9D1BNdSQ10UXMNBj0EU5fw1XYem6TR29/GjzXvZfKp5ytkJb1Zouk5L/xBffW4LR1u7+NRNSyn0uV63lbuqaby27yz//cQuuvoCkz7F+toCvvM3D9/Qfui6TkrV2H2ujf96dTenOnve8jFjSVXlcGsnX/zdS7x76VweWbMQu8k448/W57Hx7f/3zusqipiZYWflkgq8nvHzrgCsqi4mx+W45n7fEJJw+lQH+/acI7/ASzAQ4+F3L70Rp3kb14m+cISvb9xGOJnkuw/eQ3VWBkc7u/ju1t0TzILZDjv31tWwoCCPHKedpv5B/vXVrfxg5z4WFeaT43SwsrSYYo+bJ46eZHV5CfLwy9g2FGBfawdryovJm8ZLejn0BsJoOkw1cSmWUvjljkM8uv0ggTehT3QqWFtbNm7tL0k5uB2fIxx7Gl1PYDXfhiAYCUV+g6oOEo1vQtWGsFpuxWpeRzD8P5iNi5EkHzoJQpHfkEw1ABrB8KOYjPMxyhVIUhaiYEYQzFzOoeO0P0I4+ntSSgs26zuQJC+6bsVkmH3Fa4gnU7x8/AzfeWUXfcMuo/8tSCoqzxw+xbEL3fzl3WtYXlmEQbrxKdJDwSi/eHYvTruZD71jCTk+5wTubJ8kBXmm4Y/G+fm2g/x2z1HCieTVd3gLYSgS47+37OdERw+fv30lNbmZM0oUBEHANIW6J1dCfq6Hv/n8ncjyxVFRAPI8Tn696ygrqooxDr+PFqOB2ryrX8MNIQmRcIKKyhwGBkJv+RXC/1bous7J7l7ODQzy+bUrWFJcgCgIrCkv5fzAEKd7+kbbCoLAwsJ8Fhbmj04X7kILd9RW8euDR+kJRchxOrAZDdw7u4af7ztEY28/s3KyQNc52tlFXzjCbTWVMzpgRpJJwvEEbtuVtRJ0XSecSPLTrQf45Y5DxFITy8q+FeC2mplTMD7qWRAEjMZZeI2zxm33OP90wv7puIXxcNk/Oq2+CIKA0VCJ1/WlCb8ZDZNXGdR1nXA8yY+37OPxvcenldHyVoCuQ3PfIH//5AY+c/MyHlw0G4N0Y9U1Y/EUbV1DfO3P7mPZvNe/hoKu61wYDPDtl7az5XTzW8qFdy1QNI2djS30BcP81d1rWVxW8IakS14OoihMcPHrpMtZn+sZ4MKgf7TgXq7bSW1e5lWPeUNIQmVVNq9tOkVPT4CbbrnyquJtvDHQgY5AEEXVmJWdOZrqIwoCNdmZE6sx6jqtQ36a+gcZjEZJKCqne3pH9RNG9l1fWcbjR07w8ukzVGWmNfufP9FIdVYGc/Oml9ZzOSiqRn84elWSEEum+N6GXfx+7/EbmmN/o1Gdm0mue+YsMa83eoJhvvHCNjaeOIfyf2Dx0B+K8q0Xt9MTCPOJ9UuwGq9vlXgljKh7ZnmvLd10JqDpOifau/nXZ17j+P+BQHQdaOzq529+/zJfuHMNd82vfpNKkKUhAH9595rJf3sjCjw1N/UyNBgmO9tFZpYTTf3fZEz83wVF1dI6Fpes7k2SPM5UGUul+MX+I7xwsgGLwYDPZsVmMtIdDI/zNwqCQJHHxcqyIjadaeZ9C+fhj8U51dPLn61biWGGy0ArmsZAOEJF9sQCQpBe3UQSSX60eR9P7HtrEwRREKgryJ6ywmRvxxANRy+w5q7Lq+Cdb+iipDrnhpOOkVXmV5/dwo4zLW/J4MTpIppM8ej2QyiqyidvWnpDfNkADquJuopc9hxroTDHg+F1UoFVNY3DrZ3845Mbae2fmszv/xb0BiN888VtpFSVe+prXhe30kjmytU+IUEYTwASisqR1k6Ot3ezoqKYQp+LeEoh22m/Me6GlpPtNB1rZeEtc3BljF/ZpFIKZ890IwgCGZkODh08T+3s1yei9m1MHQLgsVrQdegNhZmVnTkqstIXGa981tjbzw927uW9C+bymZVLcJjSkdu/2H+Y/9lzcNxxJVHkHXNm8Yejp9jX2s4Ff4AMm5XFRTOnjDgCRdXoD02eujgSpPjYzsM8tuvwW153wyhLLC0vnFSQajIkEwqnDrUQiyYoq86loCyT/dsaSSUV6pdXEByK8Ov/2sjidTUsu3k2Dpflhkxeuq7TMRTkH598lf3N7f+r4g+mioSi8KtdR1A0nc/fsRLjJSR8Omhu76enPzRuW/2sQv6w8Sh9g2HqKnOxmg2MjSdx2c3Mqpi5Qmq6rrO/uZ1/fnoTrf3+GTvuWwl9oQjfeGErkihwT33tsNDVzJ5D13Vi8RQHj7TS1NJHdJIiTpfi7lvnUlJ0cfH0+N5jHLvQjabreK1WNF3npaONfPGetVc9/7RIwran9vHSo1spqMrFlTHevFVdk0coGCcWS5Kb66a3560XQf5/AYIgUJWVgc9m4YVTjczOzSbDZqUvHOGVhnMoY3yKoXiCeEqh1OvBZjSmI7kH/WxtakGd5GUt9XlYU1HCrw4exShJLC0upNA988W+RtwNk/6maTy+9zg/337wLU8QAHw2K3MLpz7A6+gYzQZmLyxh14YTDPaH0FSN3EIvB7afYeXtdbgzHCxeW4PNfmPyv3Vdp30wwP97evP/WYIwgoSi8rs9x3BaTDyyeuG4gkDTwYvbTvLC1pPjNwrp2ISnNh3lxW0nJxDKudX5fP3P77+u845A03SOtnXyT3/YyIXB/9tjfCCW4N9f3oFRlrmtrnJGvyVd1+nrD/GdH23i4NFW4gnligRBFAVcDgvLF5ePkgQdOHahmz++dTkn2nuIJRWynDYGI1PThpkWSehrH8TlteP0Tm6qqKrO5dDB85xp7GLp8orLHkcQeF1lL8dipkyeb1T/r4SpvqQVGV7eOb+OH+3cT28oQpbDxkAkitdqHeeCKPV5qM7K4H/2HORQeye6Dl3BEB6rBdskg53VYOD26kr+4aVNCAL8xU2rJsY4zAAUTWNwWJXvUpnb/c3t/HDzXkLxmY+wTpeA5qLkrTCyXhvWDWCkolv6PZuJd21haf41TSyCIJCZ48LtS3+jSlLBYJQwmg0oKRWTyYDBKGMyGxFuwLPRdZ1gLME3X9zO7nNtN5QgSGK6RLDFaKDI5ybbZSfbacdntw6X5JYxyCKqqo8qug5FYvSFwnT5w1wY8BOMxVE1/YbGSiQUhUe3HyLTaePBhXVTtgpNhluX1zCr/NpifDxO69UbTQG6rnO2p5+vPPPaDScIsigiiSIuq5lCr4sct51Mhx2PzYLZIGOUJWRJIqWoJBSFWDLFQDhKTzBMtz9E24CfeEqZeqGoaaI3GOHbL20nz+NgTsHMufA0TeeVzSfZc6AZq9XEqmWVeD02nn7hMBWlWcyuzSMcSXCyoZOOziEWLyjhnfctoroie9xxjLJEfyg6Wr+iuXdoyq7LaZEEq9OCbJQRL1M1y+mysGZdLbquX/FDqM7N4hPrF0+nC9eNF4400n6dL7jbaubBRXUY5GsbZFVV48TZLmrLczDeAN/hotL8CYE08USK5vZ+assuvsAGSeJDi+upysxge3MrSUVh3bw6VpYW4bKYyXenK8flu5z818P38vzJRtr9ARxmEw/Om0Wh28XjR07gveRlEwSB5aWFOM0mSrxuKjMnjxmYCQyGoyRVdbS2u67rNHb18/Xnt86YiqLFKJPrcpLjdpDpsJLpTE9CmU4bFqMBs0HGJMtIokhKVUkqCoFoIl2ILBihYyhAf2h44AqECF8jcZFFkRVVxaMqi1OB1W6ioDQT2SBRVJlN1ZwC9m1pYOhwG4vWViPJIvUrKtjw5H5uuq8ep2dm9UwiiSTfeWUnr51uviGDsyQKFHrdVOVkUF+SR11BNiUZXqxGGXFMCeB0WeSL0If/b4S8abpOSlFp6R/idEcvB863c7qrj7YB/zhr2kwhFE/w3Vd2ke92srSiaNqLjOrSbKpLs6/e8Aag2x/iK89spqGr7+qNp4F0lUYPtXlZ1JfkUZuXRYHXhUGSEAVh9H8XyXkaF8n58LPVdCLJFE09Axxt6+JIaxeNXX10B0M3RLuhYyjIV5/dwlffdQfFGe4ZIQqJpMKu/U2YzQa++Ce3s2RhKZqqs2nbaWbX5PHJD60GQSAeT/HrJ/by4sbj+IPRcZWXBeCBhbP56bYDDISjaYl9t4NPrFsypT5MiyTMW1PLzmcP0HthgKxC36Q3I00OLn+TBEFgVn4Ws/KzptOF68aJCz3XTRK8NiufvnnplPSvxyIaS/KvZzbw0VWL8Lpmht1fDZFYkh2HmqktG7/6MMkyaytKWVsxPm3qH24fX9WtwO3i0ysnvlR/unbyuhxN/YMomsbtNZVYDDcuqnsoEiOZukgSQvEE392wi6aeSwszTx1GWcJlMVOTm8na2lIqsn1kOux47RbswxXirgWqphFJJBmKxBgMx2juG+RQSwdHWrsYCEevWqk022WnMnvy7+xy8GY68WamSd7S9bUA3P7weEK+eG0Ni6/ukrxmqJrGE/tP8MyhUzOaAi0AdrOJuoJs7q2vZU5hDrlux7VZWIb/TxwzNpkNMnMKc6gryOH+hbPo8oc40dHDk/uPc6q9d8bz/QfCUb798g6+9b67KfK5Z+SYI5arsQFr+jABUlQNk1GeEWteMBbnuxt2cbSt67qPNRaiIOC1W1hSVsi9C2opz/SSfY3lm9PPdvw3YjYa8NmtLC4rJJJI0DEUZNdwIbeWPj8JZWbToY+39/D9TXv48oO3XLdLCdILys7uAFkZDpYsLMVokEmhYjLJxBMpRFFMl5u3ibzrHYtpPNfDU88fZu7sAjJ96VAAQRBYVJpPgddFlz+EIKQlmTOnELQI0yQJi26Zw4p7FvD4v7+IzWWlpDYf4TKrnLdquta1oG8wxJ6jLcSTKeZV51NRlEVL5wCHTl3A47Sysr4Mk1GmtXOQg6cu4BujQtk/FGbP0RZ0dFbWl+FxWie9Z6FInD1HW4jEEiyqKyYv08WuI81Ul2TjcljYe6yFOZW5nGrqxmiQaekcoK4ij6rSLEKROJv3naEg2z16vGA4TmNLD4qicaFniPWLq8jw2Dja2MHZ1j5KC3zMq8pHlkWOnemk8XwPDruZZXNLLmu2TKkqgiDQHQzxk90HyLTbxikv3ggMRWIkFAUHJpKKyi93HGbHmfPTMm9bjQaWlBdy86xylpYXkuu+KEhzPdcgiSJOixmnxUyRz8384lweWDSbREqhoauPA83tHGzp4PiFbvzRifK1pZleijI80z7/6wld19lzro2fvLaf+AzqUZgMMjfPKufhxXUsKM0fzfWeWTGb9HlKMj0UZ7i5dXYFB1s6eHT7IfY2tc1o7v+pjl5+sGkP//COm2dkMlFUjR2HmnA7rNTXFqSrtvYH+c0LB+kdDLFyQTm3r6zBeB2Swqqm8fi+4zx/pGFGrUNeu5V759fw0OI6SjM9oxagmYQgpAlmVU4GVTkZvHPJHF4+fobf7TnGqY7eGTuPrutsPHGWuYU5vGfZvGsiOZc7XiKRwmE3Yxgjo2y3mhgKREfHOUEQcLsszJ2dzx+eP0x3TwCDWaYvFBl3vBG58GAsHWdW5Lu6xWNab0zDgSYcHjv7Nxzj7x/6Nnnl2bgmi08Q4NNffx++3LfGADcdBCNxfvHUXuoq8igtyECSJDp7A/zupUOsXVRBa+cgT28+xs1Lq3ns+f2smF9GV1+ASDxBLJ7kmdeOUV2SjappPPrMPj797lVYLlHd0jSNZ187jtVsxOe28ejTe/njD6wlOrp/FkcaOlhUV8TTm49RU5pNeWEGv35hP5//0HrsVhPFuR6e2niMO1enRXf8oSg//cMeHrp1PiV5XoxGiRPnuthxqInl80vZfrCJVEqlINvN81uOc9eaOhLJ1BWDZp4+fppfHTxKLJlCQ+dLt64l0267oTnEQ9EYCUVF13V2nW3lN3uOXnFVPhm8dgurq0p4eMkcKrJ9OMw3rpDLyHEF0opn9cV5zC/K5V2xufQEw2xraOa1082c7xsiGI2DMByPcIP04mca7YMB/v3lnfijly/sdi2QRIFZ+dl8av0SFpUV4DC/PjURBEHAZJBZXlHErPwsNp44x49f20fnUHDG4is2nTzH4tIC7l8467pX+aFInMee28+qBeXU1xaQSCr8zx92s/dYKxluG9//7TZyfA4Wzyme1vF1XWfnmVZ+uePwjBEEs0FmTU0pH12ziKrcjFFr4I3EyPdnN5t4YOFsVlQU85vdR/nDgROTEvTpIKGo/HzbQeYX5zE7P+u6xhJBELBajARDcVRVQ5YlBAF8XjttFwZJpdRRIiIIAhazkVg8RSyW4lBrJ4/vPQakLaxJRcVtS2e0+aMxFhTn8df3rrtqH6b1VF786Ra2Prl39N+D3f7LXCB8+O8fGv13Iqnw7K6TrJ5bSrbHwbHmLgYCERbVFLL3ZCtJRUUUBewWE33+CLcvqcZkkDlyroMjZzsRRYFls4qoKcpGECAST7LtaDOt3UN4nBbWz68g+3UWE2lpH0AUBO5YXYskiui6zraDTWRnOFk6r4Tq0my+96utlBdmIAoCK+aXEounOHTqAsFh60AimX7Qjed76BsMUZQ7vsCHoqZ12atKsujsDdDc3k9b5yCr6sv54dkdPL/1BJ9592rMRhmLycDy+aVUl2Zz7Ewn59r6WTKnmIJsz7jYCV2HDI+NlfWlWMzG9Arw6Hnae/zsOdJCZ2+Ao43tVBZnomk6p5u7uXlp1RWDn+bmZpOcX4ckCMzPz6Uy89pM5NOBPxIjqSgMhKP8YNMehiJTn5yMUjqt8JE1C1lYmv+65DlPBkEQcFnNuKxmqnIyeP+Keg63dvLaqSa2N7awqqp40vs4kGhmKNFKnnU+VvmNJ+JJReGn2w5yunNmVmYmWeLBRXV8dO2iN0xEShAE3FYLDy6qozo3k2++uI0D5ztm5NiRRIr/3rKfJeWFFHivL/snlkjR0eOnrjI3HVjY2seR0+18+l0rWbmgnC9//yW27D87bZIwFInx/Y17JqxMp4sMu5UPr17Iu5fNvWZ37UxBEkXyPE7+5PYVzMrP4j9e2XndLugRdAVC/OS1fXz13Xdcl4iWLIsU5Hu50DFIR5ef4kIfoihQXprJoaNtHDrWyvLF5QhAMqnQeiHtZhUlgXU1ZayuLkHX4Sdb9lGdm8mKiiJUXWdHYwvdgdCVTz7Sh+l0/I++9UE+/pV3T6mtJ8t58WSyiEESeWzDId5903x+s/Ew77ulnmRS5fndp1lfX85zu06xem4Z57sHyfU5WFJbhD8Uo7Y4i75AhO8+uYOvfvJuXHYzG/Y30tQxwPoFFfhDsTdEAlrV9AliRJqmpeuPM+IiSwfRjNaal0REQUTTdHJ8Tu5bX4fVbOQ9dy7APckkrOs6TruZu1bPwue28fDt83E7rKialtYDUPVxq5uRaBBRENCucE9MRnmc+VFVNZbPK2XJ8EBisxhx2Mz80fvWsP9EG//1m+28/55Flw2Yqs7OpDr76jKfM4lgPEFLn5+9TW3XNDnleZx8av0S6svziGkKQ4k4BlGkMxwipamUu7x0RUIYRIlCp2vUvP16wGI0sLyiiEWl+XzqpqUTFCV1XSephTkb3ESBdSGSIDOYaEFAwCZnEFMDpLQoLmMBCTVEXA1gkT0ktQiariAgYpV9RJQ+ZMGMVfYQTHWR0mJ4jMWYpMkrgV4Jmq6z8cQ5Xj7aOCP3wGOz8KmblvLOxXWYDFOrKHkjIYppMat/eeftfOul7Ww8cW5GVtRtA35+ueMQX7hrzZSr8k0GVdWIxJJkeuzous6+462YjDLrFldiMRspzfdxvv1aSn5fRHI4K+NUx8yoKRZnuPm7+29iSVnBDcl6ulYYJInb51SS63bwz09vorFrevfpUuw628qG42e4r37WtDNZjAaZ+jmFnD7TxcGjrRTmexEEgfo5RTzz4hG+95PNtLYNkJfr5vipdl7b2Uh2hoMMrz0dwIuEpuuc6xngnvm1o66typwMNp1qmlIfpkUSHB4bjmlEQ0uiyG2LqznVup1/+tkG7lxaQ11pLoOhKIIAty2p5lhzF3PKchEECEYSiILAuvpykikVfzjGK/saSaRSCJgxGmQGQzFkUWTlnFLMb0BZ6oJsN6+GTnOssYNsnxMEKM71svvIeVo6Bjnb1kdOhpP8bDexeIqmtj46egMkFQWHzYzLYaFnIERZQQZDwdi4eIURyLJEWYGP8x0DZHrtDPij+Nw2dh4+j9Vi5I7Vs3h5+yk+/tAKovEUB09dQBAEOnsDPHTbfFIplVgihaJqROMpTMP3aWzctyAIzKsuYNeRZhbMKiSeSGE0ygwGogwFo9TXFtDQ3MNAYGZWEjMFXYdvvLCV/nB0Sm4GURCoL8njz+9YxZzCHFqCflr9fk729+AwmRiMxWgPBVmaW0B3JIym6yyjkHL39Mu3TgeCIGCUZTIck7/Tmq6i6HFEQSalxTkdeJFyxzoEVaQlvAe7nEF/4hwpLYZN9tES3oVBtBBVB5EEI9nmWgKpTnItc0glY1yIHiCmDFLrvntaJMEfifGzbQcJzkA9BqfFxBfvWcvtcyoxvg4m6KlCEAQKvC6+ePda4kmF7Y3Ti30ZCx3YcOIst8+tor44b9pkSJJEbBYjg4EoXpeVLfvPsnphBRazcbjv00v71nWd4xd60kGoM0CKKnMy+Pt33ER9cd6bKn1cFEXmFeXypftu4p+f3sS56wh8HkE0meLXu46wproUr316AeqiKLBwXjFnm3rIH3bbC4JAbVUua1dW8+Krx/nRo9tG2xsMEjevrR1tC+kFY2mGh+9t2MXC0jy04RTxuoKpZce87l+gxWSgIj+D7UebqS7KHGVYoihgkCQMsoTJkC6Gouk6/nCMJ7Ycwx9O+57b+/yj6Su3LarGY7fw1I4TaJrGJ+5ZRlH262t2zfTY+dD9S9m4p4FkSmX1gnLmVOZx99o6Xtx+Cp/LynvvWoTDZuahW+fz2r6zFOd7uWVZNT6XlQ+/Yykbdzdw8GQb86oLqCiauBIXBYH33rWIjbsb+O1Lhygr8FFW4MMfjPHAzfPwuqxEY0l6BkNYTAZ04NXdjdyzvo5Mr52jDR3sPNyM027m0af3cMeqWbgcZuZWjx+UlswtJqWoPL3pGDaLkTtXp32luw43MxSKUVmSyfyagtfx7k4NrQP+KbUTBYF762v5/B0ryXTYiKsK+7vaSagq/ngMr8VKLJVifVEpbcEAF0IBytxebIY3xhx6OQiCgEV2Y5ez8ZnKAB2b7CPbXMtQspVAsh2TaMMgWulNnkESjFhlHwbRjA4IiGSYK0loYfrjZ8m21JJQQ+RY6nAarl2RT1E1frvn2IykxDktJv7irjXcObf6uoO+bhSyXXb+6p41+KMxjl3ovu7j9QYj/Gb3UeYU5IwLTrsWOG1mZlfk8qPf78DrshFPpFi/tBJhWGCpZyA06QLkaoinFP57y/4ZcTMUel18+cFbmFt446XApwNBEFhQksdf37OWL/7u5RlJoT7d2ceLRxt5/4r507pmQRCoq83ny399H5Ikjc6XFrOBT314DZk+O4ePtRGNpXC7LCxfXMadt8yZIMv98XWL2dN0gVPtPQiCwAOL6lhSVnDjazfouk4qqZCMp9BUDavDjHyFACtd12m80MfBM+189K4lPL39xOST+ph+N7T1cqa9j79673oi8SQNrRdNyoqqUl9VwOzSHH783B4ONra/7iQBAcoLMygvXDVu87zqfOZVj5ejnleTz7ya8dtsVhOPvGPZlU8hCPjcNt5958Jx2x+8df7o3/etnwOkVxQr68sozb+oTbBgViELZhVOOO696+aM+3dPfwirxcgfv398XtyH7n/rl/o2SCL31NfyZ3eswjeG1SdVFU3XcRhNRFMpkppGw2A/9Vm5BJNxJEHg/7P33oFxnNfV9++Ztr1g0XsnARLsnWKTqN4ty5bc7ThxXGPHTpz6xn4Tv4md6jh24pK4yDUusq1qSVQhJTaxdwJE7x3YXmfm+2NBkCAKQQCiZH86f0jg7LTdmXnmPveee47ldeIqXA2aZEcgMAFNShOH3Wo+WdYqdJJka4WYGMR0Pw4lEyEUNMmBEBBM9hJLjSJLVuJ6EBODcGqQQLKHDK1k1udgmiZN/UM8cfzcvNPviiTxga1ruWtlzRs2QID081iWlcEf376FP/7hEwtCeHu5vpUzXX2sLC2Y0/YOu4X33Luer/1oDy1dg7zvvg1UFGUhhCAUjdM7GOCeHXXXtE/TNHm5vpXDLZ1zOqfLkem086d3baeuKPcNGSBchBCC9ZXFfGDbWv7j2X3zbpE0TJPHj51j59JK8r3uq28wBSRJIEkT36tCCFxOK+9++0buu2Ml8UQKu03D4Zjcoi2EwG7RuGlJJTctqRxfHp9l99GcggTTNNFTBidfPsfex47Q1dRLIpbkw196F4tWlxMJRDn7aiPZhT5Kai7NViOxBD949gi3rVvEjpVVfP2x/Ty6+yR3bqyd8jgCxomI33/myNiPld6XYZo8d7iBU829qIpEMBJnyeskLvJGwpbVFXic0ytpmabJiYYuItEEIKgoyqS5cxBJknA7rZyo7yIUibNmSTEuh3V8m65+P80dgxTkekjpBqV5GXT0jeJx2mjuHERTZWrK8zjZ0JVu+XNacdot5GW5Odfcy7LquQ1+CwEB3L2ylj+9c9t4CxCAVVZ4z9KVmKTbN3914SzFbg/94RBFLjd12WvGt38jotZz12V/3wmALDSWeO6GsZxBpqVq/O8rkWutBQSt4X1kaMUYpkHSuLauBNM0+fXRc/PW7hfAjtoK3rF5Bdbfgk4OMVa2enjjCv77pUPzVmoMxeL86shZagtysMzh+0tCsGJxIf/1Nw9jmiaKIo2Pux6njT///VsovKwFejYYicT4yYETRBLJaz6fyyFLgndtXslNSyre0AHCRUhC8Ja1Sznc0slL55rnvb/6nkH2NrTxwLq6BS+xyJKEdw5aO6Zp8rNXT80qwzGnp1FP6fzya8/yi688TSKeQtUUAsMhwv50ekZIgp//+9Nk5Lj5xJffj92VftlYNJWP3LeZbK8TIeC9t60hHEvgc9n57DtuRJElfv+uDbjsFoqyvciShMOq8dl33EgomsBp03jXLavxOm1pW+JVVaysLsQwTFx2C74Fkh39bcbOjYuvuk5Daz+hSAKfx05n3yjZPgcuu5UjZ9qxaEqa73C8hdtvSAdvsXiKvceayc92s+94Czk+F8mkTlPHAA6bhVAkXYeWhODouU7eevMKVEVm9+FGli3KJxief516rhBCsKGymE/cuhmP3TrpM0i/oDRZ5vaKRUSSSTRZxmu1vaFqplNhqof70rLLP5vue6SXF9nXENcDCCFjla+NZd86OMpTx89f0zZToSTLy8dv2YRzAZnupmkSiyaxWNV5SSBf3Fc8lubpXFSaVSSZt29YPp4FmNf+gb0NrbQOjrAoL2vOqWlFmbydRVOmLGPOeD6mycHGdo60zq+TQwDbFpfz4PplV133jQIhBB6bld/fvo4jLV0E58mzSeo6vz56ljtX1rymduFXIhxPEEkkyXLa6fUHSV3myJzUdY60dvGuzSuvup85BQlNJ9r5yT8/Ts26Su750E7C/ij//IffGv/c5rRSVJ3H4V2nCAci40GCIksUZl8ahJw2C86xmV2eL52KyfamSVPWy37MbK+TbO/k83A7rLgd1skf/I4jLSdrIAtpToOJpso47Roel42OnmHcjkxcdiuRWJLsDCeZXgeN7Zfqy7phMBpMkyqXVeVjtaicbe5FU9LckUA4xqLSHHJ8LjxOK3lZbkzTJCvDwZGzHdy5ZelCfv1rQmmmlz+7ezs57pnrsUIIPBYrHsv//+4nVbKiStf+vVO6wePHzjE8z9qtJATv3LSSqmtUlbwakokUzz56mJ33rsLpnp1O/XRIpXR2/eooW26tw5uZHqOESPMT3rZhGWcenT/zv3s0yL4LbSzKy5rT9pdshM0pCZUCMetgKZ5M8fNXT81bmtpptfDB7WsnlPh+GyAELCnM4eallfzyyNl57+9sVz/nuvpZXVZ4TS6RpmnSM2aSmJfjmfb6maZJJJqgs3sEt8tGXo6bE+09HG7p4uO3bOLzjz4/1m2X3l43DMKzzBDNKUjY/+RRPFlufu//vp2KZcU0HG2ZtE5BRS5D3XtIxOaXqnoTk/F4x0m+1fAKf7X8DjblVFzz9rmZblK6kX6hZ7o539qLIslsX1vFqQvdvHK0ie1rq8fXd9g0tqyqoL61H4dNY0llPmcae6irLsDjtBKOxvEHo8iFmRTmeMe3K87NYGA4NGZZe/1hVRU+evPGa5Y0vt4wSZv/NI8MMxhNG1Y5NY2azGwcmjZp3VA8TtPIMP54DEkIvFYrNZnZ11XnwTRNukcDPHf6wrxZ72vKC7ltWfp+S8SStDX14x8Oo1kUyqpzcWc4SMSTtDT0EvJHycx1U1SW9qVob+pH1WSG+gKkkjrFFTn4clz4h8OcPtLKS08cx+2143TbqKzNJyPLRXA0QmfLIJFwHHeGndKqXCxWFdM0CQdjtF3oIxqJ4/TYKavOJRFLcvZYOy88dgyLVcWb6aR8UR5ZeekJz7bFZSwpzFkQ5b6nTtTz0MYVc5pxjgaj7D50gYa2ARKJyfXm0gIf77n36nr9pmmyv6mDM/P8PgK4Z1UtdcXXZkT1RoGmyNy7egl76lvnTWKMJ1M8fbKe5SV51/ScplIGP/v1YV450MgnPnQT2zYtmnbd/oEgX/iXJynM8/IXf3wna8sL086xZpoT8pk7tiCPZcGSKYMvPfHSrM5hbi6QXcNkFWSQmT+9pKOiyRiGyWvipHEZTNMAMzYmSGAF4mAaIGxAEswUCAtggpkAoQFvTCLabHFqpIuW4BCNwYFrDhKEEGxaMdGnobbiEpejZgpehxCCpVX5LL3Mi/7BW1eN/33fjcvH/87LSmeEBkdCHDvfyfJFBeM35vWEEIJbl1Wzo/aNXwfVDYNvHDnEo/VnCMTTqU2v1cr/3PMAFVcECf5YjC/u3cOe9hYiyRSSEFRkZPDIfQ9edzGoQ82dtA6OzGsfFkXm/jVLyHI5MA2TXz6yl/qTHRRXZJNKGljtGjaHhSd/fJDzJzvILcygq22Q7XcuZ+tty3jiR/vpaBmkqraAcChGPJbkDz57J5FQnK7WQUaHw3S3DeFwWckv8ZGR5eL0kVZOvtqM1aZx/kQ7dz60ga23LyPoj/Ltf/kNyUSK7HwPkhBk5rjRUzpdbYOMDIXoaR8iFIiSU+Ali3SQkOVycGNtBfU9A9es9nklOof9nO7oZV1F8TXNOOOJFD94/BCPPncch92CLAmC4Thetw1/MEp+tmfWrpHxlM4LZxrnnWbP87q4d3XtddUYWUgIIVhRkk9tQTavNLTNa18mcLyth/5AmILL5N6vhmRK52x9D7F4ckoNncvP1eux4fM6aGoboH8gQHVlLpqSDvret3U1Pqdj/LimabJ50eyEteaok+Ck7WwX8cjUxiemadJR30NGjhvV8trOIk0zSCL6FKYxgmZ/C4noY4CJZr2FZPwAphlC0dZh6L0YeheyUoFqufGq+30j4y0lK7EpGjvzr84/eL2Q6XVyz446FHluJZH5Itfj5A92rL+uNcC5omV0hO+dPMamomL+ZNMW7IqKPx6j0DlZPfRQdyc/O3eaj6xZzzvr0sFZOJnEep31BOKpFL8+cmbec4DSrAxuXlqFEIL25n6OvNLAJz5/PwWlWWCaCEmir3OY3U+f5C/+9R1k5Xk4c6SVH3/9RTZsryGRSFG1pID3fOJmkgmdL3zyh/T3jFK9tJBtdyzn8Mv13PnwBjwZlwbIDTfWsn5HDUIIXnriOMcPNHHDrXUc399IyB/hk3/3AHanFUxznH+w/c7lHHzxHLc9uI7sfO+EQV6WJHbUVvLDfcfn3ekQiiXY39jOmvJCZDH7l+toIMILBxu496bl/N5bNnLwVBu/efkMX/jkPRw728mPnzo8ZYfTVOjzB3lxAQh7m6pKqSnIfkME6a2BYRKGTrUni5RpcHKolzpfLhb5knssTOb5WFSF25cvnneQANDUN0Rj3xAFXhezpUPrukFvfwC7TaOibGZeictpJTvLxdmGHgKhS/ehEILF+RO3FUJw3+ols7o2cwrxlm9ZTE9rP3sfP0w4EJ2g55+MJzm9t4HDu05Rt2nRnESXZoaJrvcQC3+PWOQnCBQs9rchZB96sh4h+dCst5OIPQcYWGxvJZU4gGkMYbHdg663AQvr/HW9sTSjgM8svZkCu/f1PpVpIUkCdYyzcL0hgLtWLKZszCxmLjBNg3iqi4HQL4glWzGMGEl9cEbvirmiM+Anoae4paKSMo+XXKeTRZlTa9m3jKZn7vcuqqHA5abA5abal3ldSZamCac7+2gemF8WQQi4d3Ut9jGy4kDvKDa7Rn5xJrIsISvpvvBoJIGqyjhcVmRZIivXg6EbBP1RFEWmsDQLzaKiKBKaJqOn9DF10/RgKIn0/SiEwDRMGk518qOvPc/X/u+v2PWroyTiSTBNutuGKCrPxuGyjR9/3G76Isl1rMPqyvuqKjeTqty5cQkuh2GaHG/rvuZZfDypM+wPc/uWWjwuG1ZNIakbaKrC2roS8rM9PLP33FX3Y5rwSkMbo9cgbz4VLmaIXi+p8ytxdLCbfT3pF31C19nX00pcv/Qe6IuGeLL9/JTP9+qyArKvwmmaDRK6zsGm9mvaxjRNYvEkiiJjt81M6pVlCatVJZnUSSb1q+57tmqXc5p+rN5Zx+qddXzvbx/lxJ7zeLJcmKbJ7kdfZe/jR9j3xFEkSXDvh2/B6rBMG6XNBaY5RsCR80klz2EYg5hmBEwDSc7BNIMIYcU0RhGKFyEsmEYQIbvTpQZzYW1fIZ3+PzzYxn0lKzBMk/0DLfRFA3g0G2sySyh3Tq6JNwUHeKWvkZ35NeTa3Jwd7eH0SDcxPUm21cXqzGIK7ZfKOT0RP7/pOktMv8TxuLWglkr35OjSNE2e76nnQmD6muL2vGpqPZdETS5eo/pAP6dGuvAnIjhVKyt9RVS7ct4Q8qmzRXGml3tXL5lX62JC76PL/1V0I4gs7AiLRm/g25Rk/NWM25mmiW4aHOruon5okLiuU+bxsqmoGJd2yTgqlkrxUmsLfeEQx3q7SRoGL7Q00+EPALAoM5ObyipQZZnBSIR9ne0MhMPsaWtFAP979hReS5qMt7GomLX5BROu5UAkzL7ODnpDQRyqxsq8fJZm50wgLyV1nedbm1GExM7yCo739XKyr5e4nqLY7WFLSSkubbKhkm4Y7L/Qjn+es+Y8j4sNlSXj18njcxKLJhkZDI7X+wGstvTAF48lcbis+EfCmKaJw2VNBwHypSttjv8n/T3NsYrnxfvbPxLmv//xKR74wFbq1paxb9dZTh9Jc6oyc90c29dIIpbEYruUgZrgSmhOPetUZYlN1SULoilwtruf4VAEr332ZMuLAdFFfQmrRSEciWMYBpoqk5vp4lzz1YWfoskkL51rmreSZG1hDjX585doTxo6h/o7OT3Ui0u1cF/5EoLJOE2BYYZjEXqjQd5asQy3amF3dwvNgSGWZeaxJrsIATzXeYHucJBAIkaGxUrC0Hmi7RyarKBKctrnwj/ITy6c4PxoP62BEbYXVFDnu6Tn4HPaqSvM5cXA/LMrBxs7SOr6rJVE06ZNKqmUTjSawOGY3uBM1w1isSSKIi2ozsicggSLTeMjX3oX2QU+9j5+hNGBAELArh+9gs1ppWxJEe/47L3UrKsYV05s6huiPDtjks/BXJBKHMc0QwAYRh/J2Iuo1luQJB9JfR+p5EkUbQNGqplk8jiyugTTDJNKnkFImcwxgTItTgx38a9nnsciqzzdeZqBWAjdNAil4rhVK59cchO3FtSiSJe+e2NggK/Xv4xHs9McHODJjtOYmCQNnbie4i+W305hiXd8/VAqzoGBZgZiIfpjQYbiYcpdmVMGCQDHhzt4qffChGUmJoOxEMFknByri1rPpRplOJXgkaaD/KLtKIZpokoyCT2FCTxUvob3V23CrryxlAenghCwraacsqyrW6DOhKTeh1Upw6IUYgKy5CJlzmz+Ypomw7EoXz6wj5faW3BpaWGTcDJBgdPN/91+E1W+tMhVNJXkqaYGhiIRBiNhdMPg3NAAfeG0sp2JyfbSclSgPxziyQv1BBNxOgJ+DNPkcE831rFUaZHbzZr8AsTYOezr7OAf9+0hlExglVWShs5/HzvMO+tW8P4Vq8YzFCnDGN9vTyjIT8+eQjdN4qkUdk1jdX7BlEFCKB5n34W2eYsn1RbkTLhOZYtyKVuUy3f+7RlqV5aSTCRZsqqU8sX5rNlSzff/Yxfli/M4e7SVLbctw2qf+X50uKzkFnr51SN7KSjNYvn6CuwODafbSlfrAKFAhKN7G3CN9Zmv2lTFvl1neOQ/nqOwNItEPMkNt9SRU+DFatcoKM3ksR/so6Qyh7q1ZemSyGVYUZyPpsgkUlefxc2EUCzBmc5+KnIyr77yGKyaSn62h7NNvVSX5uDzONANk8Nn2qkuyaazf3RconkmXOgdpKlveD6njyQE22sqFkQmf19vG0+1neeBijoSho4iyXSFA3zl5F4+tHQDS615WGSF3d3NHB/sYUt+Gb9sOY0myYwmYuztaeOu0hq+ff4QG3KKUYTEisx8/vn4Ht5WuQyrrFDgcFOTkUPKNLijZDHZtolZA4emsaQwl93nW+Z9z/cFQrQMjExK/08HRZYoys+gpX2QM/XdrFtVNuW4Zpomg8Mh2juH8LhsuJwL16U1p6sohMCX5+WDX3iI2967jbbzXYRGIyiKTFZhBtWryieUGVK6wSMvH+XP792xIEGCrNahpy6gyiUI4R0LAiKAjKqtxzBGUS0b0eViDL0d1bIN0wyjJxtQtRt4LYiLumnyrYZXuKuojlsKarHKKieGO/mv+j38y+ldVLtzqHJNrM8lDZ0fNB3EJqt8rHY7pc5MkoZOa3CQtVkTSSXV7hz+a9M7iepJvlH/Mt9qeGXG8/nQoi28t2qikmNPxM/fHHucHKvJsoxLyo+mafLL9uN8s/5ldhbU8GDpKrKsTgZiQR5pPMi3L+wj2+LkgbJV09ZJTdMkkkzydP0FWoZHcGgqD9QtJc917T4A84FFUbh1WfW87zNF8pDQuzHMGLJkZyD0Myzy1QWh/vfMKX5Zf47Pbt7C7ZXVWBWVo73d/P0ru/nnA6/wpZ234bFYybDa+MptaTGk55ob+fRzT/PpDTdwR9Vk9vKS7By+cdd9AHzt8EH+/eB+/v3WOynzTlYXHYiE+Ye9u3FqGn+7YyflXh/D0QjfOHqIrx4+wIrcPDYWTaxNH+vpwSor/PkN26jyZRJNphiIhMi2T51i7R0NzluCWRaCTdUl46UGSHuUvO+Tt3L6cCuDfX5c2W4y8z2oFoW3/f52jh9oYqg/wJ0PbaB2ZVoVctsdy/D40veYosrc9fAGcovSPhsOl5V3f/xmTh9uwTRMVE3G6bHzwT+9k/Mn2lE1hXd//GYioRhCksjMdfPxz93P6cMthIMxCsuycHpsmKaJza7xzo/u5NShFlKJFIo2WQEvz+ukwOueN5kT4Hh7D3evqpl1oOt2Wlm9pIiufj+mmfaUKc338S/feYGcTBcNrf2TlFSvhGGanO3qn7cEc4bDxuqyggXJPu7taeX2ksVsyL2kAmqaJuXuDG7IK8UiK5imyXOdjQQTMcKpBG3BUY4P9jAQC7GjsIINucVc8A+S0NNE33y7e3zCI4TAqVrItTvpDNuocPsm/eaSJKgpyMamqYTj88tERxNJ6nsGZq2FoWkKq5aXcKa+m5/9+jBlJVlkj7fgXsocJpM6T+86TWPLACvrisnLnZ+r6OWYV6gnyxKltYWU1hbOuJ4kBCWZXnpHg5RcNnOQxeTa3tUghEBWipCVSx4CinppYJXk7MuWV4FaNfYvD/IsBvn5oMKVxcdrd2CR0q51Ve5sQqk4/3x6F7/pOsvHayY+pElDx5+I8oWN97LYfSm9tSGrDJhcnpGEwKFo2OSZyXhCCNyajctFQP2JKI80HWQ4HuGLa++nyn0pYOmLBfhJ82HKXJl8tu5WcmwuBFDlyibL4uQP9/+In7Ye5bbCJbi1qVOgCV3nK3sPoBsGO6sqCMTj2F4H5bylRbksKciZ934sSilZjrcyGP4FsWQzDq2OXNd7Z9wmnEzws3On2VBYxNtq67Cp6eu0raSM5qXD/OfhVznR28vWkqmtn+cL0zR5YayE8Ufrb2F5Trqc5LZY+MCK1Tx5oZ4nG+snBQmqLPG+FavYWFh8aVbv9U57nL0NbfOeLatK2qb7cgghsDutrN9RA0BcT/GtM6+yiVJWZxdQubEEbyzCIm/WOAdj2bpL3T2yIrNhR+2E/eUV+cgrmmjOVVKZQ0nl1PdIZo6b7XeuAEA3DZr8w1SR5nzk5HvZee+qKbeD9Msx3+takCDhXHc/iZQ+a/VFTZX5yENbx/vorRaVP3z7DXz7lwcYGA7yjjvXcPOmmYnOKV1fkAxRrsc5Z62HK2GY5pQTE7uijXdNXNQTvbdsCSuy0h1YDlXjq6f2jd8niiSRMOb+zJVn+7CpyryDhFgyRX3PIHetNJFnQxqUBDu31bD31UYOH2vjL/7uUe7YWUd5aRZWi0IqZTAwFOTFl+s5dKwVTVO457bluF2vcybBNE3i0QRhf5TRgQDJRHJalnPFsmJkVaFjyM8//Polslz2cVLRZ+7a9lsnsjETVvtKxgMEAFlIbMmp5F/FLo4NdUy5zbqsMsqu4Cws9Askrqd4pOkgBwda+MjibazPKptAdDs32sdAPMgtBbUIAaPxSz3BPosDh6JxIdhPOJWYNkjoDgQ529fPl++5k0zH63dNt9eUT0n4mwssSgGZ9rsxzDggEU+1o2jTu0F2BgL4Y3GWZuegXZbJkISgJiubhJ6iPTAKzK716FphmCZNI0ME4wm+ffwIj54/M/5ZNJkioRt0BCaXTNwWK4szZ8dCT+n6gtTdizO95Lond29cDoussOSy2vCR/k7siopHs9AWHGV1diHPdlyg2Onh9FAvVZ5M1uUWIwmR5mXEwuzqaMSlWih1eTkx2IMkBLeVLOJIfxf90RDbCys4O9xPwkiRZ3dhV1SODXRT5s7AoWj8+MIJbimuZqkvlz3dLdgUle2F5TzdVp/memTmU+pOZ3ScFsuCENwARsJR+vwhSrK8s1pfCIHTPrE0VJjr5S9+/xYSSR2rVb0quTWSSHKyo2eupzyORXlZuKzT186vBauyC9nVeYFCh5uYnqLCfen5u/htJCHYnFfK4YFOKj2ZBBJxyt0+lmXms7enjQKHm4N97Szz5ZE0DALJGElDJ5CIY1dULLJChmajJxykPTRKptWOU514/vleVzrrtQCmT+1Do0QTSZyz+I2EEJQWZ/Kh927jK998nubWAf7jWy9gt2lYxoKENPfExOW08sDdq7hhQ9WCvkPmNJp2N/Xxzb/8CSdfPk8iNnNk9Y1Df09hZS4fvnkD+hX65h7b9D9S0ggRSrTg0ipQpOkfvFiqH92MYVMKkMTrq/meaZ18nl7NjlVWGY6HMTCRL7dnRpBldWCRXrvzNkyDp7vO8L3G/Txcvpa3l69BlSam4ofiIWJ6il+1n+CJjlOT9pE0dCQhCKWmZ1zHUqn0QLWAsrrXCq/dyrKivGvqL58OCb2bjpF/QpF9SCL9nRQ5E4e2ctpt4rqOiTllO6JVTgeP0WRqGieF+UM3TWKpFIqUVo90a5dmE24t3RFR5Zsc5MhCYJ2l+2DXSJCO4Zm5GbPBqtJ8LNfoeFjmzqDRP0SGxcavW84hCUHKMHips5kydwYH+jpYlV2ANsbVONLfxVJfLv5EjFd6WilwuKnyZPLjhhNEUglqfbm83N1KXzTE+2pW4dFstAVHyLW7OD3Ux30VS1jiy2F7YTkvd7dS7c3EME1e7eugM+TnE8s3j7fQQdqjoCTTizTGw5oPgrE4XaOBWQcJ00FRZJRZ/s7nugYIROcvob6+snjBXlI7C9OGRD9tOonPYqPMlUG2zcGa7EIuf4puK1mEEIKfNZ0iw2Kj1OXllqJqgok4T7ae58bCKgocLtpDozzZdo4cm5P/bTzBlvwyNuWVUu3NYn1OET9tPMmdpTUs9U3Ui9EUmWKfh/ZZOs7OhI5hP+H47IIEGJOWX1POlz7/Vp7edZrT57roHwgSiyexWhXyctxUlGVzy44lrFpegjxLVc2hUASfw/baeDc88/2XObHnHFvuW0vt+ko0m4aYZtjLyEnXRuyayuGWLuyayvrK4jEp1+lPLpho5Fj/X7A65x/JsE6v+90Vfob+8G5W5vw/bMrra/A0lcmLiYlhmkhCTPkbSVx7yWW2ME2TVwfb+K/ze9iSW8n7qzahTJG6u3heG7PL2ZQ9tfiQBGRZpucX+Gw2NFniTF8/tTnZpAwDq6Jc1xaoAq+b0qy5tz1ejqQ+iE2rpsD9YcQsg88sux1NkukLh9Jp0rHlJmmugGmm13mtmhUVScJntePUNH5v5WrW5E8uA87n2KZp0j40wmBwfrMpIaA6N/OqDOyUYRBMxJGFIK7rhJIJQskEumlS7clkV0cjb6lYSn8kiFuzcHNR1QRysFVWCSTixFIpNEkmmEwQSMTxWKzopkGuzcGqrHx+1XIWl2olaejs62nHZ7WlSXJCQjdMgol4evtEHCEEVllJl/2UiWU/IQQ5bueCBAnheIL+QAjTNGd1P0diCX79/EkWl+dO0kMYDUb54ROH2LG+mqWVU1uBm6bJifaeecswy5Jg8QKVGgCsispdpTXcVVozvsyhapS4JvJxVEmetB7Aw9UrJu3zk8u3TFpmU1TeVrV80vKLEKTLKAuBPn+Q6DWaZgkhKMrP4IPv2oI/ECUUjpFMGciSwGbV8HpsaJoy67HPMAy+u+cwn75j61XXnVOQEAvHqFhWzAc+/yC+PO/VT8g0+cErx/BHYximyYrSfH649zjv2LyCPO/UKUfDTBJL9WMw848pITMaP0vKmL/f+XzRHRmdtKw/FiSup8i1ua+rm6BpmnRGRvnSqWdwqRb+ZOktZFocU95E2VYXNlmlwO7hPZXr0eaQ2chxOnh4xXK+cfAQPpsNhOBD69dS7ptMrnutUJHrW7B0rypnktQH8Mf2ocnZgEAIC1ZlanYxQJ7DSV1OLi+3tzEYjZDnSA8q0VSKl9payLBaWZS5cAPolRDA+sIifnDqOC+2trA6r2CC2t18X1wm0DIwMm8lPodFoyDj6sSqaCqJEBBJJRmJRwgk4lgkhaFYhLW5RSQMnXJ3BjZF5dxI/4T2YIRgTU4BB3rbcSgaS325HOrvJGh18GBlHWdH+umPhMi1u9iQW4wsBIoks9SXw0AszNrsQrwWG0t9OVwYHaQuM5fD/V1YZZm1OUWTAoSL8DntaV7A/N61JFI6A4HwrLNOwXCcXzx3nAduWTkpSBAibeqW0o1pg4RESqehd3D+fAS365paN3+bkOVamLElEI1fVXRrqjZbIQSyLPBlOPDNQn+oc9hPY9/QlJ8lUjrN/bPjzswpSLj9fdv55l/+mJd/dYgV25ZgtWtI0zBZMwsyMAQMBMP8wU3reeTlo6iyhIk5b3vVNCR0M4bJ/IhUC4EDAy0MxcPjL+O4nuI3nem68Obsa/dYmCtM02QoHuafTz9HTE/xd6vumaC5cCWWZRRQ6sxkT28j50v7WJZRgDSWcTBNk4ShkzBSOJXp02NCCG6sLGdFfh7RVBJFksh2LLSQ1vQQpFvqFkpUyDR1kvogg+FHEaRfCJqcQ5H3T6bdRhKCD69Zz58//wx/8txveEvNElyaxu62Vp5tbuSDK9ewOHNuDn+zgRCCdQWFPFCzhJ+fO01fOMSGwmJUSaIrGOBQdxd/tnkrdTlzy7ildIP6eXY1ALhtVvI8rqv+Di7Nwr3lS8b/ne9wT/j8jtI0Ea/MnUGZe2IwKgC3ZuXWkjSpuWFkkM35pazNSROeL/7/4vYXsTpnYvZlU/4l/sitJZf8TNbnTq1e6HMsnHto2rnPQJtFuSCRTDHkD7OodDIh06qp5Ga66OobnXb74XCU7pHAfE4XgJJMD7bfApXTuSBrAflz3SN+VpZOHbBBOiDvCI1S6pr7JGtvQyt76lvxOSYHbSnDIBSfXbA/pyChoCKXsiVFfOdzP8futuH2OZCnupGF4HM//iMyC304LRoHLrQzGo7y0tkWRsNRHFfUr9PuZQZjSfqxhQaGObVComHGGYmfQJHsSPNr1FgQDMXD/O2JJ7mraBku1crBgRYebT9OlTuHHfnTG3NcDaY5pp9gpAinEowm02poA7EQfdEgDkVLi4OMuUIamHyncR8v9TbwB4u24NasNAUHJ+zTq9nGg5kMi50PVm/m88ef4K+PPsbthUuodGdjmtAfC3ButJe6jEIeLl+LMsMAKEsS2c7rFxhcDiEE1QugeHcRFqWUysx/JZQ4RkofxaZVY1XKrnoOq/Py+eLO2/if44f5x317iKV0qn2Z/PGGzby1ZumUOvaSEFhkeVYvF0VIWGZQslQliT9av4kybwa/PH+Wl9paSOo6uQ4nq/MLyLRPHOgUSRojWc6CtGgYNPQOXnW9q8Fp0chyXV9y66KM1y6DczlcVsuCZQyHQxEMw2BWLdsmGIaJokxRThQCSZJmVOEbCUfo9QfncbZp5Hlds+7I+G2Dy7ZwHQNTtZkeHegkkEi/uHXT4OxIH59YNrk0MlsIIfjwTRuoK8qdNF4kdZ2/+cVzs9rPnK7mU995iae/u5v8ihwKK3OxOa3TD1oWFVkSvGfrah4/eg7TNDnb1cf7t6/Fa5/4owcS9bQHf4lhxomlBjDQafJ/F0to8gNumjqhZCv++Dmy7BvQ5OlZ59cL765cz3l/H1869SzBZAxFkljszuWTS26acSZ/NaRMg3e//B3aQsOYmONyov96Zhf/ce5FJCSWZRTwX5vegSJk/Ikov+k6S8LQ+faFfXy3cf+kfb6zYh1/VHsjikgPQDvzF2NTVL57YT8/bT1KOBVP94crGjlWFxuzyxeEEPhawaIqlGcvXGkjZYzSE/gvTNNAllyMRJ/DY91CpuP+GbeTJYm1+QUsy7kzTWQ00y9uq6JM2ze+raSMXe/+Pezq1Wdg71uxioeW1k0pcgTpgcFlsfBw3TLuX1xLyjDSYlBCoMnyhK4Lq6LwhR03o5smtll0hMSTSToXgLTosGh4FnDAfSNBU2QW6kEZDkVn7bBp0RRyfC6Onu1g+aLCCZbCgVCU5o5BqkunFvAxTZPhUJTh8PyZ+1lOx4R77HcJs8nozBZTBQmHB7pY5MlCMDV/7Vpx35olY5OSyftSJIkH1tbNaj9zChI6L/SQX5bNp//zg1StKB03QZkOpmnisGhsrC6htjAHIQS9o0EKvC6sl6WmJGHBMOMMRl8lrg8CBgPRg4hpFBIFMm7LYhZ5/xBVck+5zvVEhmbn8yvvojEwQCAZw66olDmzyJqCC7DKV8yXN7yNYsfVX2yykPjUkp00tvXR2NjPjh01k9ZxqdbxEoFTsfC3q+6ZoE1+JYodGePrAyiSzNacKuq8BbSHh/EnYoCJQ7GQZ3OTZ/Nck+HM9Uau24kqy/jD85MKloTAadOIpzqQhJ0C78cQQiGZ6qNz9F+vGiRA+kVtVVSs09Str4Qqy3hnGFhN0ySqJ4kbSWQh4bZYx9v8onoCRZJRxcTsgiykSTbTlyNl6ET1BE51+gD/SnSNBIkl5+974nPaURdwwH0jQZXlBcskBGLp1rbZwO2ysrauhCd2nyY/28PGFWXIkkQoEuenzxylqWOQD7xl47Tbtw+NztvBUpakS5yM30EsZJAwlaT5Wyvq8FnSGTYTqPTMXnFzKszUCi6EYFVp/qye/TkFCdvfuoGeln4CQ0H0lH7VIEE3TL727H6iySTesfqIAJYU5UwIEpxqGcuz/g+6Gacr9BSnh75Eje8TuMYFkS5BINBkDw61DFlcvY3jesDExKlYWJV5dbe1HJuLHNvMfeIXIQnB5pwKKs1Mlog81uTNPKvXZIUbcipne9rjEELgszjwWV6fksF8kOWyc6a1l3/80Yvz2k9BlptvfeZtSEIjZYyS0HtRJA/R5AUkaeoUeTyR4uS5Trr7/NisKksXFVAwpnjW2TPKqfouhBCsqSshJyt9zUPhOIdPthEIxagszaamMndaS+3emJ+v1u8iYaTIsrj4VM2tWGQVA5P/btzNal8ZN2RXT7ntdDjr7+YbF17kK+vezWxfa22DI7N+ac2E4VCEH+47Pu/9vBERiSfm3SFwEeF4YtZEQouq8K6719HVN8rff+sZ3A4rNovKSDCKAN5++ypW1RZNua0JCyIAJYCzXX2/o9fWnLdc9eWYivybaXVQPzpAgd2NU9UocXoX7HhXwjRNfn30HA+sXfratEAmE0lkReY/PvU93FkuXF4HqkWd8mAf/7f34s5xE44n+NN7tuOyatOeVHq5jCLseC3LsMiZeC11ZFpXz+U0XzfousHevRc4fKQFRZG47dZlVFXlcuJEO6+80oAsS9x22zLKyrJ4+umT2O0aZ850kZ/vZd26cvbvb+Rtb1uPLEv8/BeHWLmihGRS59e/Pkr1ojzWri3HNE38/gi/+c0p2juGyPA6ePe7NxMOx3n8ieOMjIRZuqSQm25agqpeWwRsmgYmcSTx28NSznTakYUgpV9RdxUirfEQSxCJJVAVGbtFRZElTNJ+7ZFYAsMwyclwkTXWHWFVy3FqK+gY+SKmqaPKmeS43j3puKZp8tL+Bg4ca2ZVXQldfX58GQ4Kcj20d4/w1e++yLLFhSRSOgePtfDR927Habfw3z95BcOAglwP3/3Zfh66Zw1rl08WWTJNk4ZAL0lD58+X3o0ipPHuEwnB20vXY5+BUDodTNJ1z2sRbegZDc6b/Q5wrK2bY23d897P7zqiieSsXUeFEBTmePjrP7ydQ2faOVnfRTSWJNvnZMPyMuqq87FapslsmSwIaTFlGDxx/DxPHD8/7339riMSn7prryUwjCpJaLIHSQhUMffsRTSRnFYhMpFKq2s+sHbpVfczpyDh1N4G/INBXJkuTBMCI1O3HwqgqWcQl5lEU2WeO3WB2oLs8dpseY5v2hSOJmfgtSxB5o1vKnQlRkcj7N5zng/+3jasVg1FkRgcCvHiS+d4+OGNhIIxfvqzV/noR3bS3jGE223jAx/Yhq4bWCwKnV0jDAwGsVk1Ghp6ueP25TgcFhJJnYMHmsaP88IL50gkdT7y4ZuIRpNYrSo//8UhysqyuPeeVXzrWy9RXp7NokV5M5ztZOhGL/HYHhyOhxf6p3nN4HPYWVaez1f/6IGJHwgYCkT4j1++giQE925eSlleBi67BdOE0VCUU809PHngHLevr+H9t68b20zDZ78Du7Yk7QQpuZDE5JexaUI4msA0YVF5DlU7ssczArtePkd1eQ7vvH8dCMH/+efHOFPfjddjp6VjiH/4s/uxWlSsVpVndp9l9bKSCeTFQDLKcz1neKW/gd6onx+37meRK59b8pcyHA/xeOdxgqkYdxaswO1KB3QNgV76Yn7ieorW8CBVrly2Zi9CEoJgKsZzPWcIJKNkaPZrqnuapkmPP/iaWGW/iamR1PVrcmMUQpDtc3Ln1iXcuXXJpM+mg4lJ9+j8g4Q3MXskrpzMjMGmqPxv40lyrA5KXF5uKZ474f2Fs038/NBp1CkylLphEkvOTqthTkHCQ5++iwc+dttV1zOBbx84xkhTC/FUiv0X2jjW2j1mVwufumMLvmnaSqxyJsuz/mZGtcU3KjweG2vXlvP97++lrq6IbdsWE/BHOHmig1gsiUBgsSrEEylMw2TVylJcY1rbum5QXOSjrW2IRCLF4kV5OByWKR/y9vYhbr55KS6XDZfLhmEYnDjRQUNDLwcONBIOxQmGZl+jN02TlN5MNPokyeR5ZKUUSbhQ1UWAimGMoOvtmGYSSfKiKGUIoabtkfVOdKMPTJDlPGS5EDDQ9R50vReEQJbykeU8xGvAbXBaNZx2C17nxOxHNJ7kpy+dwDRNPvf+26gqmCiBbZom62tKWFyczd8+8hyLi7O5aVUVSWOAztEvY5hhxNhjoso5FHs/O2H/Qghu374Eu1XlJ48dRlMVHrxrFdVlOfQOBmho7qelI92rPOKPYAKBYIzO3lH+9t+fQgiIxpIU5nnRdQPpsqDZIinUuPPpjY5iYrI+s4IsS7pc4VStbMqu4svnn2Gpp5AKV5qU1hTs5ztNL7MzfwkFNi8/aT2AKiTWZpbz3427iaQSrM0s46W+84wmZ09U0w2T4VBk3hbCb2L20HUD8xp/8bmUXRMpndF5cnnexLVhupLUuuwilmSk21jnW0IfjUR516aV1BVNbnlO6Dpf/s3eWe1nTkGC3WUD11jLomGmb2bDBAGSJCEr0vgX/PTd29IOgfEk9rGShGGahOMJ7DP00woho8neWZ+Tbs5cBxSIBetfvhIbs8v5u1X3jHMRZFni1lvqWLG8mKeePsnzz59lxYoSliwp4GMfuxmrNf29L07KVO3Si0GWJZYsLeTQoWZME7ZvWzztzaJpCpFIIn0dzPS3zMpyct+9q6muzsU0mbbOPR2SyfMkEsfQjSHi8X3IcgGKUo4QAn/gi+m5p7AAOh73XwIKicRBAsH/RJZzEUJBVZfjsD9MKtWCP/BFFLkIgxiqUo3T8V4W2qobQFMUpClmxv2jIfafbWXTkrJJAQKkH0RFFqxZVITTbuHpV89z06oqEqluNDmbQs//RYiZCIgmmqZw89Zatq6v4lfPnOCJXaf4ow/cSHF+Bi6HlbfdtRpZljDH9NUb2wYoKcjgo+/dhtWSDrI0VZmkQGiRVZZ4CmgLDzKaiLDGVz6ehdOEQoUzhwxtchCdZXHy3vIbsCka7eFh6gO9VLlyOTnSwRdWvpVCWwZOxcq3Gl+a9e8bS6bmbW7zJq4NumlyPaIyfzS2QJo1b2K2uNKi4OIyy5hKrWGa7O9tY0fhtXPLLmJTVSk+hw2P3TaJw2aaJqtm0Gm4HHNuaDUNk7bzXex74gin9zUw2h9As2oUVeex4faVrL5pKXZ3mlCY0g2++uw+/vDmDXjtNpIpne/tOcqD6+umVVy8HIapo5sRTHP6Pt//bT/CUDxd9hDi0gsY0kzvG3OXUed9bYx1qtzZVLkvtReNjkbYu+8CsiRIpXS8Xju5uW6ys9089tgxPF47Xq+dtWvKp9xfdXUuv/rVUbKynOTleTFNk/Pnezh5soOOzmFefbWZurpCNt9QzbPPnqK/PwACdt60hJtuXMJvnjlFc/MAiUSKW2+tw+GYfc3aZr0dQ+8npbfjdn1qbKmEaQZJ6S047e/GYtmGkKwIrJhmkGDof7Db78duu4t0kSl9R+pGH6YZwWa/D1WpHnvZvjY91JoiT0nmjMaTDPkjuOxTZ2MuQhICu0WjrW+QeCptEa0bQSLJehTJSzrMVFDlnAn7SekGTz5/itbOYVwOCx3dI2xYVYYkSdy+fSnf+OHL/PSJI9isGoZhcPfOZdRU5rJqaTHf/8VBcrJcxGJJVi8r4Ya1cx8QLkemxYltzArXIiskDZ3k2LNjldOBukOxYJFmL3oTSyaJTlNHfRO/3fBH3gwS3gg4MtBJOJWkfrQfWUgMxsLzChIqcqaXBRBC8PCmFa9dd4NhGBx+7hTf/tzP6G7uw2LVkBQpre1+vot9jx/hhnvX8qEvvgOX14EJBGOJ8f5ZSRLEksmr3pi6EaMn/Dy9kReI60MzBgkl9t+jxFFBOBVnV+9xVmdUkm/LYDgR4tWhhgma7q817HaN6qpc/IEIpWVZVFbkoGkKb3vbeppb+kkldQoKMlBVibvvXkVW9kRNcJtV493v2oQkSeMveE1TqK3Jp2ZxHlZreqCvW1qIx21jcDCI3W5BVWVWry4lM9PJ8EgYp8OCxTL7S3yROJqe6QvEBNKME5fjQ0RiTxCNPYPNdjc2660YZgjd6MairUNMqNmbaOoKrNZbCQb/E0nOxOl4L6pSw2thbzRV3Q1AkSUsqkJz9xCRWALbFARb0zQZ8IfpGQ5QnKPTMfpFQCeh9xEdbUEW6dm6JudSkvHXk/a/aXUFxQUZpHSDrRuqKC3MRJIE2ZlOPva+7bR1DZNM6vi8dnKyXGiqwkP3rKW5bYBAOIbNolJWNPt2p4u8AAMD0wRjzB/k4rea6sG3SiqqkOmN+nEqVrojIzMadl2JeCpFdAHaH9/EGw/Ba2i1fBOvHWozcjk/2s/Owiocqsae7pYF2W+6jGwQjMVJ6mmxQgBFll87g6e+9iG+9pnv4/Ta+eRXPsDSTdV4s9wk4km6GnvZ9aO97P7FQbKLfLzzs/ciyRIem5VfvHqapUW5dI8EGAlNVly8HIaZpNn/AxpG/gsTHW3MjW86stX67FKcajknRluo85bwcOnW8b5+u2KhOdRLjXvqFqCFhqYpU5IFXS4rK5aXTFhWVja1ElxFxUR51crKHCorJ0uulpdnU16ePXndaz3pyyEkmFS+EVitN2O17iCROMZo4B9QlHJkKQdJuEnpbShK8YT1hXDgdLwXh/1BorGn8Qe+hC/jy8hiYf0chEj3aE91s/vcdhaXZHO4oZP/efpVHty2nNwM13gvd0o3ONfWx38/dZBQJM7WZRupzPoIAjAxiKe6MIwImpI7llG48tiC3Gw3udmTdTqEEPi8DnzeySUBi6ZQWz27dN9UOOPv4pX+BhqCPSSNFO3hIe4pWjnt+hkWB/cUr+Kr9bsotmcS1ePYldmTgpMpg0TqzSDhdxHReBLjKuXaN/Haw6VZWOTJwq5qKELixqJK/PEYbm3mLOhs8PNDp3n6RD3hRCJNYo7G2V5Tzp/fs+Oq284pSNj/xFGS8SS//4WHWbm9dvwLWB0WXOsqKV9aTCQYZe9jR7j7928iI9fDu7as5JmTDTx1vB6vw8b7tq+ZUXUtkuqmM/Q4ViWPxb6P4tWWXDGznQibkpeuLwuFttAAnZEhnKqVhJ6iPtDJcu/Uqf03MRmqUkUk+iSh8I9R5AIslg3o+iDh6C9QpHwMM4gkHEjCiSR5sdnuIRj6JqlkIwgVSbiw2e4hnthPInEEWS4klWpBlnLHfRCuF7wOGw/fuJJ/+NEL/GDXEZ4/eoE8n4sMp52UYTA4GqJ7KMBwMMLyygJuX1eDQEY3g/QGvk002YgkVAwzTpbjLXhtN8/62E3N/VSUZ8/7Ab8hu5pVvtIJnJp8m5dtuYvZlpv2LxCkSwibs6tZkXEpWLu/aPWY4qLE7QXLWO4tJmGk8GkOYkZy1jydpK5Py8h+E7/diCZTvJlIeGPgha4mGv2D3F++lF+3nsWtWfm9mnUzyuFfDSZwpKWTT95+A639I1hUBZdV48I05k9XYk5BQuvZDgoqcimtLZySCGZ1WFizcxmv/Pow0XAcL+kb8YbFZZfWI91Xq01TBkjow0RTvVR7/4BCx52zHmgrXXks85by7w2PjfMSlnpKWJ95bWIzv8041NvJwZ5O7q5YTJnn2mftmrYOl/ODpFLNmKYPEEhSBqpcRkrvQZLseD1/hSwXpevb9odQlDKSybNgGihquvdWkUtISS3oej+KUoHT8XsIcX27VSRJsGNlFSD40fNHOdHUQ0f/6DgfTAAOq8ataxfxwTs3UJKTls+OJVrQjTAVmf+EJKzEUs10+b86qyDBNE1aWgd55If72LShks0bqwgEo5w81Ummz0nd0kKOn2wnEIiRkWFn/doKTp3uoKtrhNqaAsrKJppADXaGcDqtdA2PYOhm2sxnOMzISJjtWxdjs13KCNhk8GiXOjyyrJc4P5qkUOacm4dByjBIpt6cbf4uIp5MLYj+xZuYPyQhWJdTzNmRflyqBU2Sr7nDZSooskSB10U4lmAgEGJ9ZRFPn6yf3bZzOaCsKOgpHXMGZbFEPC24JITAMEx+su8EkTEFMX8kRlI3+OI7bidzmhbIi3VXuzo5EJkJNlnj/qKN3Jy3kqSho0gSDsU6J/vj31acGujjkbNHWZWTP6cgQQgFm/WWK5ZZsNvvm2Z9GatlM1bL5gnLFaUIp/Kuaz7+QkMSgh0rKlmzqIj2/hGauoYYCUVRZIlsj4OakhxyMpzYtEt8BVlyIEtOkvoAkrCS1AdRJR8pYwghVBRpZqvj/DwPGV4769aWI0mCvfsa2byxisPHWrFYFI4cbeWdD2/i8SeOkZPt5pV9F1i5vIQ9e+vJzfVgt1968be1D5GX6yYcSZBKGYTDcYSADesr0K6BczIfGKb5Zkr6dxQpw5jI9H4TrxvK3T5e7GrCqWropkEkNf+OIgGsLCkgGE1QmePjyePn2XuhjeJM76y2n9MIU15XxN7HDtN4oo2MXA9CEuODq2mahEbDHHz6GMWL8rE5LSiyxF/df+P49sOhCN/bc3TKNpCL0GQ3FjmLcLID0zRnHSiYpoluGrSF+xlNhNmQtYiEkUIgUK8jefFNvLEgSQKPw8qy8nyWlc+GCyDwR3cTih9DElYSeg+ycNA6/HlsahVF3k9Nv6UQWK0qqipjs2mYholhmNjsGrIkkUzp457wFotKLJYkGktiYrJ6ZSmqOpGEKUmCWCxFMBBFGVPPLMj3kjEF1+G1gmmab842f0ehj5mAvYnXH8t8edT58hBAMBknoesol+nKXGx3vziJli57986EB9bVocjpJvHfv3EdnUN+lpe8hi2QW+5dy9Pf2c1XPvld7vnQTqpXlmF320gldQa7hnn+J/s4e7CR3//CQ3gyXZimSa8/NM6gjSYSjIQjM2qc25Ui8h076Q79hgzrcrKs62bkJFyEPxnhf5qfYzQRoic6whJPMbt6T1DqyGFz9mRjpN9dLISP2P9/YVXKqMl9ZJpPZxdsrllVxlNPn+SWm5eyfl05u/ecx+u1s6g6j0QihRBp4mpRYQZbNlfT2TmMRVOQrzB7qq7KY/+BC8iyxNIlhSSSOm739ZXMTg9M1/WQb+I64U0VzTcOhLg0bru1S5w90zTxB6OcPd9Na/sQo4EomT4HD96zBllOm70lEili8SRWi4plCgluMbb/6twsyrN8sw765xQkeHM8fOQf38W3/uon/PBLj6FZFCw2DT1lEA3HsDmsPPCx27jp7ZuQZImUrvP1XQcIx9KpE0WWWFqUi88x00AnyLZtoj/yMicG/oYMy0pcWhWK5Jjy9VfovANNzqA13I+E4M9q38o/n/8VAD6Li77Y6Fy+6jXDME3+dv8L1PqyWZGTz68az9I4MkSew8W9lbWszi0Ys++8tH5bYJQnms5zZqgPIQTrcou4vbyafIdrzqQ3SUAkleSRs8c42NMBwJbCUu6uqMGpahMzP8kEu9qaeLmrlUA8RrHLw31VtSzNykUR6a6BcDLBPxx8iZRp8pcbduAesypO6Do/OHecY33dfHTlBmp88yfqvRYwDJNYIkkipacfjmmej4sZByFkZOGceqVZQAjBxg2Xekw8bhuVl3Ws3LApzZHZvDFtXrZxfSWsn9yTIoSgsMDLgw+sm/O5LASEeO3EyN7EwsA0TXTDHH/ppzt+rq7cJ01jYf4m3hgwTZOGpj6++b2XOVvfTSSafo8ursrlrXdf8jVqaOrj69/dzaZ1lbzzrevHr6sJPPLKUW5dVk3JWImhZWCYg00dvGvzyqsef05BgiQJlm1ZzN/+/I858NQxGo+3EfJHUDWFvNJsNtyxgoplJePukLIk8X/espOe0QA9o0EyHDYqcnwzDjqj8VMc7P0IJulsQzT1GwhPv36mdS2anDEePmjymKohMBj3k22ZuYa8kDjW38Px/h5+fP4khU43WTYHR/u7eaL5PF/aeju3ladfEKZpcri3iz9/+TcIIVidU4Bumnz3zBEebz7HP22/gyrv3OxC4ymdrxzbj0u1UOL20BsO8fcHd3O8v4fPbboJu5quefsTcf7qlWc50N3OurwismwOzg0P8Piz5/nMmi08XLMcALuisiG/hM/ve54Ch4sPr9iAKkns627jq8f28/ZFy6jwTC/e8XoimdJ57kgDzx9tpLV3mFgyNe3sqSDTw7c+8+B1PsM3PiTBm0HCGxSxeJJzzX00tvczMBwilkghyxJuh5WiXC9Lq/LJz3ZPGyzI0ptZxzcy2juH+dJXfkNTywB5OW5qF+Vx4nTnpPW8Hjt+f5RXDjRy241LyR5znMWEc9393Luqdnxdp1XjZEcP72LlVY8/Z9aTEIKMHA+3v287+rt0UgkdSRaomoq4wk/cBHadvsBLZ1vw2C0EY3Fq8nN4aNNyLOrUp2BXi6jx/fGsz8eipFnb5c5c6IMvnvk5F4LdfLPxGSQhuD1/zVy/6pxwfniA/7flFm4rW4QmyzT7h/nT3U/zP6cPsyavgCybA38izr8dfQWbovIvO+6k3JOBacLpwV7+/OVn+dqxA/zdlltwqtduchVKxil0uvncppvItNqJpJJ87fgBvnfmGHdX1LC1qAzTNHm04TS7O1r43Oad3FFWjSYrjMaj/NOhl/na8QOsyi0Yzw7cUlrJ2aE+fnTuBMuz86jyZvLlI/uo9WXzwWVrZ/Qvf72gGwa/3nua//jVXsKxBB67FXUGX/jrRc6LJJK0D49iURXKfN43ZPblckhCGteWmC/+6R13UpG98AHliaFuylwZE7o7Xn+Y9EaDZFkdKFeUS8OpBDE9SabFQdLQOTHUzYrMgnHulCTAPUObuGmatHYN8bUfv0xj+wAmaVExSZLGBXR03cBh13jrzSu558ZlWLTJz6gyjcbItSLb5eDf3n03NvX6tjlfb+i6TjiawO20MldhOFWSCIXjOMYIyoZhTimhn0rpPLXrFO2dw9yxs453vHU9DoeF93/sOxPWE0Lg9dgpLMigobGPweHQpSBBpK9xjz9Itjstbtg9EkCVZ1c2nfeoLoRAURWUaV72MGadXN/Gp+/aQrbLQSSR5N+eeoXhUIT8jMkiNJDWPaj0vPeazgPArdr5UNVtHBluos5bilu1s8ZXiVe9vq13WTY7t5ZV49TSN8GijCx2FFfwv+dP0jQ6TJbNQUdglEO9XfzJ2i0szrjU9rYmt5BtRWU8euEMg5EwTs+1BwmaJHNraRW5didCCDyyzAPVS/nh2ePs6Wxha1EZkVSS59qbqM3M4cbicpxjJYRsu5O3VC9ld0cLL3Y0j5+bVVH5g+XrON7fwxdf3UOl18dIPMrnN+8kyzZ1l8rrjaFAhF/vO0NKN3hox0puXFmJ026ZlrExnSvpQuNsTz/v+d5Pqc3N4ecfeud1ncldmUWZzQtClaVxxdT5ItftoKYge9rPdcPg+a5G4nqKrfnl1I8O0B0JsCm3lI7QKIFEDIeqoUoytRm5nB7updjhQY3JLMrPwqFo7OtrI5xMsC6nmHMj/fgTUbblV+C1XAogjg50MRKP4Nas5NtdHB/qJtfmwiIrtAaHcaoW1mYXsbe3FVWSqfPl0egfZDAWZmt+OS3BETpCo6zILMA0Tc6M9FLm8pHQdTrDo3g0K0VOL7u7m1mXU8yGnBIO9reT1HU25ZZyqLODoViYt2TVIXTIMZ2U5WRwwT9AbUYuJ4d66I0GODnUg0ezsS6neMI1GAlE+Pcf7GZwJMR771tPbUUeGW47mqqgGwbhSILOvhFefPUCX//pK+Rnu7lh9eSSllWbrEI6F8iSoCTTO23H2m8DLvngTJT3v/zvoZEQ+8/1sfqmOmRZuqx0C2BO5O6IS2HE5fuKRBMMjYSx2zQi0QStnUMsXZQ/9vmlaxFPpDh0tBWvx87733kDeTnucT7TlbDbNbweG4FQjFD4kpqqADZWlfC1XftZUZKPacLR1i7etn7ZrH6TOQUJw72jmKZJRq5n2npWOBAhHk3gzUoHAUIIAtE4bpuFQDSGydU7FuZy46YMnaF4ELdqx6VYMYGWUB9F9ixyrNev5JBjd07gHkhCUOh0E9NTjMbTjmutgVF0w2BRxsS+eCEEizKy8Mdj9EdCc2pjtKkqmTb7hP26NAtZdgedobQt7HAsykgsSo0vG8dl2QoB5NodODULHQE/ScMYH5wyLDb+eM0WPvniEzzTeoG/u+FmlmfnvWFnwv5QlJbeEdYtLuZj922eUpZ5ekzdobxgydnXiS9mmCYHWjrIdNhZnDs73QRVkdFmmAhcC8JX8YDQTYPzo/2szynBn4hxoL+dpRk5PN91gZFYlDtLa8i2Onm2swFZSDT5B6n15hBOxQklE4zEo/SEA9xRUkN/NMTJoW4qPZns6Wnm3rKl48c5PNDB9oJK8uwunmw7h0PVODzQiUPRKHJ6iCQTnB7u5dxIP+9fvJbRRJSjg10s9mbzYlcT4VSCYqcXiyzzVPt5ih0ednc34VQtLB0LKPLtbgodblZm5uNQVHJtTupHB2gKDFHocJNvd5FndxFNJXmlp4VNuaU0BoZQJJmmwBDtoRFMoCcSpMjpodR1aSxo6hikuXOQz3/0TlbWFE3K9GRnQFmhj6VV+fiDUXYdqJ8ySLBrKvICPL+GaRJN/Pb6e5imSf9QkJf2X8DjtrJ6aQkHj7cwGohyy9Zannv5HHabxpKqPNq7h/npk0cozM1g24aq8TGls3eUV4+3IkuCZErHbtPQVAWHTWNwJMxoIMLNW2tpbOlnNBAly+dkz6sXOFPfDTAeKFyErpv0DQQoLc4kJ2tmnyNJCFRVwTAMjCs6B+9aWUNZVgbH29PH+eStN7CkKGdWY+Gcnvqff+U3pBIpPvh3b8dim3qW++ozJ3nl14f4xJffhzvTxbbacr6x6wCSJGEYJhurS6a1ib4cpmlioo9xE6YfVSVUhJBoDffz7eZd5FkzJrSObMmWr2uQMBUmXw5zbPnkTy5eu/klv2f34F+yZLp8mRiTJp78m0dSCVKGgQD88fjYOm/MIEE3TJLJFBX5PuzW2WdkDCPGcOQpAvFDY54hBhalgELPH79Rv+qsEUul+NunXuCe5bUsys2a1dfRZBnLAmVZIomZe78VSea24sUc6GsjkkoQSyWxyCobckp4rvMCeXY3dkWlwu3j6GAXeXYnNkVFFhJJQydlGCiSjFVWMDGJ6SncqnXCCxbSKpR5dhd2RSWup7DKCmuyC+kI+VElGVmSMEwTj2bFZ7XjT8SIpVLYFY3FnmxsisqenhaODXYRSyUBwcaxbEeW1U57UEYWAousoEoyraERTg33ohsGSUPHoWhEUklkISEJgUn6eat0Z/JqfwdFDg/BZJykkaLOl0eWdWI2NJ5IoesGJfkZM5aCnHYLuZkuegcDU37usKgLUkrSDZPYb7m/R2fPKGXFPtavKCMYjqMqMrpu0NPvx+d1kErpWK0qOVlubt+xhMd3nbps63SHgc2i0tk7iiwJbFaNsxd6WLu8FE2VwYSunhGqy3M4fqYz7clTlYemKdQtLph0PkKknXxn04GSSOqEQjEsmjIhoBdCoCkyq8oKWFU2+RhXw5yChMHuYZKx5KRo5XKYhsHRF84QDcZwZ7oo8rn5s3t3EEumcNssOCzaVYlQuhGnL/ISQ7EjxPVBzBnqxUszP4tdLUASglJHNpsya7AplvEBMMsydVnjtUJvJEhS17Ep6fqcYZp0h4JYZAWPJV1nLHVnoEgSjaND3FhSMb6tCTSNDuNUNXJscyuTRFMphmORCRoToUScoWiEQmf6t8iw2PBZbfSEg4STSazKJbJnfzRMMBmnwOFGvSwj0hny88VX91CdkUmtL5tHzhwdK6WUvyGJbRZNweu0EYomrklvI5pqJpQ4gV1dPOZeaWKav72zpMtxoW+IvmDomraxagp27drLXlMhGJ05SIjpKU4OdWOVVVZlFaJKMt3hAFlWB4u92eMStXW+PM6PDLAys4C+aJBwMsHZkT425JTgUDSebq9nQ24JKzILxmbi3gnHqfZkoUoyipC4qbCKQ/0d+BNxDNPk+GA6+7AkI3e8VazUlcGa7CJ6IgFybE4ah4dIGClWeQuocmdxcrgHq6JQ7PTiUi2UujLIsNqpdGdxsL+DZb48FCGRYbWRa3fi0Ww813mBtuAIA7EwSUPn/Eg/K7MKqR8dYEVWPgLB3t5WRuLRSQF7htuO1aLy9CtneestK6fMkhmGyfmWPo6d72TrFFkEAI/dNm5BPh8YhknkCjvxlJGiJdyGJAQ5lhxGkiOEUxFKHSXY5TcSdyQNj8vKqfPdnLX3EI+nGAlEsFpV9JRBYa6HxrYBWjuGsFrUce7HRRiGSUNLP5Du4PNlpIMKm1VleDRMIBTDZlNJpQzauobp7B1hYCiIzaLS1TNKd98o+TmeCddQkSWKC3309vnp6RulMH/qrLJpmnR2j9DQ1EdOtotM39w7s67Ea8g0E8QjCXTdwDBMHjt6jmA0zrqKIlaXF6LKMtYZ0peGqdMW/Bn1I/+JYSaRhZWUEUIIFVloGGYS3YwiCxseSw0XZ+WykDg52kprqB+Hah0PEm7JW3VdpZkHoxF2d7ZwS2k1iiTRGfTzclcrRS4PFWPlgxK3lzW5hTzVUs+tZVUUON1gwoXRIfZ0trKpoGTOtf6EnuKF9ia2FZXh1qwkdJ2nWhqI6yluKEhbZjtUlZtKKvnK0X0c6OlgZ0kliiQRTiZ4qjkt2bmlqBQhxHir5FePHSCWSvIna2+h1J1B/fAg/3rkFRZlZFLken0zNVMh022nriKfM629dAz4Kc72zCpQMM0EFrkYq1qBbvhxW7fQMfqlq2yTnklFEkmSup72TJAEFkXBrqkzEsSiiSShRIKUbqRtqzV12kA6LRiWHpBjqRS6YaRnC7KMw6KhyfKk4yR1nWgiSSyVYk9jC8mUTjAWp8cfnJBJ8Nqt2NTJLxubquKYovd6Lui/SoBiV1TeVrli/N9b8y/5rtRmXGojVSWZd1SvHP/3HyzZMP73naWXNFEKHFNPELYVXArMS10ZlLoyME2Tl3taWObLo2bsWBfXk4RgZ1HV+DaLvRN5FTUZEw3Ysm3pgTor71Kgf2U24z2L0i1slZ5MNuZeMn97Z/Wq8b/fWjF17biyOItta6r4yVNHOHS6jaWV+eRmurFoaU6CPxilsX2Qs809WDWVu7YtnXI/Xrt1QYKEpK4zEo5OWBY3EhwZOcqWrBsIpcKcGj1DrjWHE6Mn2ZSZvl6maRJKJfjOuUMcG+zia9veMsl8rCM0yj8f381ANDxh+YqsfP5o2ZbxyZhpmkRSSZ5qO89L3U0kDYPV2YW8rXI5PsvMjodCCEoLM9E0BUwoLrDjcdtQVRmP08ZIIMLquhKyM53E4+mMwc1bLt1nkiTYsLKM0UCUZbWFOGwaum6gGyZWi8LQSBhVkXG7rITCcXweOzaritNhZcu6SqxTPF+apnDDhkq+++N9/OjnB3nfOzbjsF9y2zUMk1g8Sf9AkG//8BV6+vzcfety8nIXblI86yBhunTHVMtDo2EOP3cSp9eOosrIkuAzd26leyTAgQvt/HDvcTRZ4gPb1+KdRishmuqhI/hrVMlFlef38FqWcnzgb/BZV1HkupdYqp/O0GMk9FFWZv8dNiWdRonpCZZ5ynh3+Q7s8uV19us7y82zu/ja8QPs6Wwl02bn1Z5OGkYG+futt5I9lh3waBY+vWYLf/HyM3z4uV9zQ2Ephmmyu7MFWQg+tmojLs1ylSNNjQyLjY6gnz956WkW+bLoDgV4qaOFuypqWJeXdsMUQvC2RXUc6+vm8/ue56WOZrJsDhpGBjnc18UfLl/Hiux0jcwEftZwiqdbGvjrjTeyMqcAAfzJuq18/PnH+Pej+/jcppvGyY9vFLhsFn7v9nX83fd38aWfvMC7d65mUXE2Hod1Wj6NAFQ5B1XJwaqU0R34L0aiz2ORp3cRTeo6B1s7eezkOU529tAXDKMbBi6rhVKflzvrFvP21csmESMlSdA4MMS39x3h1dYOhkIRbJrKkvwcHl6znJ01lRMGcNM0aRoc5ukzDRxq7aRxYIhgPI4mK+R7XGwsL+Y9G1ZSkjGxY+K58438+NBJWodGGApHMEyTRw4c5fsHj004n7+752YeWDn5ZaIpMm779Ez7a0HvaHBB9vNa4fKg5I0Mi6bwh2+/geI8L3uONPHk7jOMBCJjSrYCp02jKM/L1tVV3HfTMopyvVPux2mxYNfmHwAmdZ3BUGTScrfqptCWT0+sl6HEMJkWH/nWtEuuaZr0RUP847GXeKr9PAKmVOIdiUfZ39tGtTdrQtCXaXVMJPrpKb588mV+0XyKzXlleDQr368/wvHBLv7fhtvJtM6cmVVVmZKCS5036Q6GNDyXCZi5xnaTl31pYjST6yuA122f8m+AytKpibySJLj1xqWcON3JE8+e4tyFXupqCojFUwyPhPn+Tw/Q0+fn2Ml2BodDlBZn8vb7187YwXWtmFWQYJomu39+kMe+sSud1mjsxTRM/vzuf5xUyzJNCAyHGOwa5oZ71+AeS3vohoEsSeR5XbQNjtI6MJLWDJ8GaYOnbsrc76TE/SCSkFFlN6rsIcNSBxYJn3Ulxwb+msbR77A0809RhB1FyFwIdvN/T/0YRZK5WEC+u2AtN2TXTnu8hUaRy83HV27k103nONTbSb7TxcdWbmRrUdn4TS2EYG1eIV+7+V4evXCG4/09SEJwR/li7qusocqbOSdCYKbNzrbicj6xahOPNZ1jf3c7IPjYyo08uKgOx2UtSm7Nwhe23MJTLfU839ZEk3+YEpeHf7/xbjbmF42HVt2hAHu72nlr9VLurqgZn+HWZeXy8VWb+HXTOY7197ClsPQNRWIc9Id56uA54skU+8+0caalD7fDgqrIU4aN+ZluvvLx+9HkXHy2WxDCQpHnU6SMUTRlahnTRErnB68e55uvvEosmSLf42JVcT6qLDMQCtMTCBKMxaes+45EonzuiecZCUdZmp+L06LRNDjM4bYuGgeG0BSZ7dXlE37Tk129/PjQCdxWC3UFuWS7nPijUc709PPDV4/TNjzKl+6/fYJYWYbNxoayYjaUFbO3qY1jnd2sLytibWnRhAC6Nm+yHTmk79V8jwtJiHnLM/f6Q9dU+rmeeCOe03QQQmC1qNy/cwU3b6ohGI4RT6ZIpnRkSRonzLmd1rQk7zTfTRKCAq+L9qHReZ1PUjcYDIUnXFtJSHjUtEZDjiWbckcZoWQI2VYIQGfYz18ffIaeSIC7S2t5su3clPuO6SkShs4fLtnI+ssyLhJiQjm0fnSAnzSe4MNLNvL+mrXIksTenhY+vfdxnu9q5G0Vy3/rrnGWz8kn/3AnbpeVg0da+PXTJwAYGArxyP/uB8BqVVmzooTff89WCgsyFvQ7zjqTULa0iNU31XF6fwPJeIpUMkVv68AkEpdAYHfbuPHtG3n7p+/G7rKR0g2+9ux+/JEYRZlebq6rYklRDtoMffWGmUA347i0cqSx/mJF2EkZIUx0JCFjVbLJc9xI0+h3iOtDKJKdInsWf1J7/zgJSOJSa+T1RMowWJ1bwObC0hnXk4SgxpfNX27YMe06w/4Iz+w+Q2aGk5tvWDyjQlo0niQ/bOcLG2/GalH5xKpNfGLVpmnXF0KQYbXxrtqVvKt25bTrFbk8/M9tD0xYNjgS4kxDDw9vWD4uuvRGw4A/zP++lH6oJEkQisUJxeLTrn9ROjyh9xBJ1OO17UBTctHInXJ90zQ51NbJt/YeIp7S+fiOjdyzrJYclwOEIJ5M0To0gtdundDtchFdowHyPS6++vA9VGb5EELgj8b4+9+8xGOnzvHk6Xo2lpeMl+aEEGytKsNrs1Kbl0Oe2zleDjrU1slnf/kbjnf0cLKrlx2LLs2IN1WUsKkiPbhGEgmOd3azrqyYj27bMGsuSaHPvSBBgj8aI5JI4rAsDMfhcoRT/TQGniShBzABn6WactctyOJ3t3dfkgRupxWXY+os3lVfGAKKfB5o6pjXeRimyVAwnclQxrqhbLKVG7LS448iKWzNnmgCF0zEsasqX9p4J8cGu6YMEkzTJJJMkNB1ChxurPL07409PS1YJJk7SmvGO7Y25ZVS5cnimfYG3laRHqd2dV6gPxrirtJanu+8QKN/CLdm5abCSqo9l7rNjg10sb+vjfcuXsP+3jZODPVglRU25ZWyKqswTTg1TX5w4ShLM/LojQS54B/g5qJqcmwuftlyGtM0uadsCfn2uSvoFuR5+ZOP38aps12cPtdJe+cw4UgCVZXJzXazZHE+a1eV4XEtPM9jVkGCEILS2kKKFxcQD8f52me+T2A4xMf/7b1TdjdIsoTFpqFZ0w+mJAnuXFlDfoYbh0WdVf1LCAUJjaRxqQZlVbIJJ9vRzQSSSB/XIvmI60PoZrqtUJUUYnqSl/pPE0xGeH/FTvpio1gkDccbT+tnVvA4rSyuyOPA8RZu2ryYmX49i6pQtyh/wdrVZoI/GOPY2U62b3jj2nCX5/n47mcfnvX62piBUlIfIpZqver68ZTOYyfP4Y/GePf6lbx7/Uqsl2VqrKpCTd70mgAem5Xf37x2PEAAcFst3LWshhcbmmnoHyKp6xP4O1kOOzcuqpjUNrusMI8NZcU8dvLcpBndQqAk07sg5NRANEavP0hlztzURGeChIyMRsqI0xraRdS+njLnTfA7HCQkkjrd/X56B/0MjoSJxBIoiozXZSXb56Io14vXNX09XgAlWd4FOZeOoVEiiRRu2+zS3TUZOfzzpruxKSqHByarCF7EUDyCgUlzYJiucABNkilwuClyepAv62I7N9JPsStNHL0IVcjUZuTwck8LMT2VPlZ/B893NbKnu5lgMo4iZPqiQX7aeJy/XnMzOworkYSgfnSA754/zAX/IL2RIFZZYTAW4YcXjvGp5Vt5a0UdkpB4qu08z3VcANLk7pe6mym0u/EnYlzwD9LoH+TvN96BOgv/oelg0RTWrChh1bJikikdw0g/34oizZgpmi9m/SYRQiDL6SxB+bJizh9qwpPpwjpN9Ho5JCFYPIN4ylRQJTcW2Ucgfh7T1BFCxq0tpie8i2CiCa9lCSYG/vhZBDJi7NXZGxvhOy3Ps8RdxLGRHmJ6kmPDzfgsLm7OW3GVo77+iCdSvHiggQut/eRne7jrxqXYrBpOh2VCunpoNMxvdp9laDTEytpiblhbQSye4skXThGKJHjortXYrCr7jrbQ2DaAx2klEI6xemkJdYvyJ91QpmnS0jnEi/sbiMaS3Lq1lsrSLE6e6+LgiVYyvQ7u2L4Eu83Cqfou9h1pxmJRSaV0TNOkvXuYF/Y1IEmC27YtITdr7lHzQsJmUakrz7vm7TSlACMaJZw4g6bkkU5syijSxFp/LJniVHcfTovGDZWlEwKE2cBnt7E0P3fSC99nt6HKMpFEYtLM/WLmIKnrpHRjzMbZJGUY2DQVk3R9eKFRkulFVWQS89x3IBKnd/S1CRJsSiZ1vnele95jJxdsv3HdT2Pgaardd6PJC8ccvxpM06QzvBdZslJgXzvps2F/hEd+fZBDp9sZGA6NkVjHaNwmOGwa5UVZPHT7KjauKJ9S1Q+gIts3fl/NB+1DfqKJJG7b7LhJkhA4VG2s1X36Y+uGgSok/s+rzxDXU8hCosDh4j2L1nB/eR2aLGOYJqPxKC7VMqEEIYTAa7GR0HUCidg4ybE1MMKOgko+snQTbs1KS3CYT73ya/7zzH7W5xbjHAs0RhJRkrrBP2+6mzy7i55IgM8depZvnT3IptxSipxpXsJQLMJ/73iQMyN9fGT3o9R6c/jSprv4zzP7eazlDCnDmLcT8cX38HTX8bXAnKaba26qw5vtRlZfO3U6m5KH21JDIFFPTB/EpuSSZdtI4+j/cKz/z8mxbyGh++mPvoLHUoMmewHojg5TbMvkweIbOB/oQgBezUEgOZlQ80bEK4ca6RsI8J63bEDXjWkzAjaLys7Ni1EVmW/9ZC9VZdnkZ7vZsXER33/0IMmUjtVUOdfYS1VZNi/sq+e2bbUcOtlKbWUuyhXElhF/hJ89eZQHbl9JTqYLWZIYGArx7MvneN9bN3LyfBePP3+Ke29ZwWO7TvHu+9dxpqGHngE/um7w06eOce/OZYwEIvzy2eN8+J1br8fP9ZrBMKLEU230Bv6bizU1Tcml2PsXE9bTDYOBUBibqpDnvvaXh0VV8E5BCLyoXTHVmB2OJ9jf0s7+5nbO9w0wGIoQiidIpHSiydeuTdNp0SjyeajvGZjXfoKxOJ3DgTcsL2Eq+BPtNPh/RbnrZjSuX5Cgm3EaA0+RbaubFCSEInH+7ZEXONfcx00bFrGypogcnxOLpqLrBv5QjKaOAfYcbuQL33iGf/jUvaysnZp8m+124nPYGJqCeHgt6BrxE4jGyPUs7G90d9kSVmQV4NYsKEKiOTDMt84d5G8P76LI6WFzXhmGaaKbBhYxsbtHAIqQMDEn8OAyrXbuKKkhY6zrocqdyf3ldfzz8d10hf0s9qb5OXZF487SxRQ40tyKQoeHh6pW8tE9j9LgHxgPEmoycsi0OliSkYsQsCG3BLuiUuXOZDQR+621Wp9TkFBeV0x5XfFCn8sEyMJGufsdGKTQpPRFcKjFVHl/nwuj/0178JeAhFXOotLze2hSurXIqVjpi/npi42SNFKMJEI0BLtZ45u6R3ihIYD/t+UWpLGWtGtFU/sgG1aW4Z2htmSaJiP+CC8dvEA4EmfYHx6T6hQoijzBO8NmVclw2ynM8+J12zFNprxZQ5E4mqZQnJ8x3orT0jmE12MnN8tF3aICvvPz/USiaQJeYa6XRFLnQtsA0ViSMw3dJJMpUro5o37G64WL7YkjwSgDoyGCkTj5mW4qCzLHde4vat8LIbAohZT6PoduRJCEBSEUplNRulJ29VogIa6p/SwQi/Nvz+/lydPnUSWJ5UX5rCouwGe3oSkKu843cqBlfrXl6aDIEtW5mfMOEgzTpLFvKD2zWiCp52tFuo00QdIIoY/pX8hCwyK7kYQyvk7SiJAyI3SG95Iy44RTfehmWgtAlexYpEsttel9xkkYQQwzhSRULJILWbJMOnbKjJE0QhhmCoGELDRU2Yk0NiQbpEjoQfyJNvzJVtxaCcFkWi1PQsYqZ9DUMcjpCz184l3b2b6uGmWK2eXKmkI2rSjn777+NM/sOzdlkCCEwOewketxzjtISOoGF3oHqc6bnZLnbCCEwK6oE1pOs21OHKrGBwZ/yq7OC2zOKxsXrorr+gQPFhOTqJ5EEgLrZTw4p2rBpVomBBTFTi+GadIXCY0HCZokT+iiEEJQPKa50RO+JFDlUNS0+JEQyEIa99y5yFuYKVMyE5LJdGlB0ya3Nqd0g0AgSjyRSrdqumwoysKWHt6wVXohBD7r6vG/0/9XKHM/TIZlGf5EPbLQyLCuwK4Uj69T4cyjzlvCl84+SkdkgP9oeJJ1mVWszrhOQYIQ1GVNTXKbDfJzPNQ391NTmUcimcJu1ZAkMeEGM014evcZKkuyWbGkiC9/+4Wx5eaEN5U5dj5CXJ28ZLOoRONJhkbDZPucJJM6Pq+d0UCUQChGU/sA+TlubFaNlG4wEojQ3TdKLJ7CalVZXJHHO+9dS162e9zK9I0C0zRp7B7iR88f5aXjTQTCaf7Kwzet4k8f2gHAM4fqOdfexzt3rqYg042Jzmh0NyOR35Djeg82tZxIogG3dSLxSpYlsp0O+oNhegNBFudmvaaz44MtHfzvkZOUZHj4xwfuoC7/krRqUjdo7B98DYMEmaVFuTx5/Py8FaWPtHaRSOmvS5BgmibhVB8nh79Db/QYkVQ/IOFS86ly38VizwMokhXdjHNy+Lt0hPeMBQdJnu385KWxxnUbG7I/DaRfAoFkB2dGfkhneD9xI4BN9lHi3E5dxruwyRc7ldLrnRj+Dn3Ro8T0ERRhw6nksch7P9XuexFIDMXOc3jwPwgkOogbAYLJn1Dv/wUANjmLrXl/QzCskUjqrKotmjJAuIgcn5Oqkmw6+0anXSfTaafY5+FsV/+8f9/9je3csWLxa54l8lnsZFnt4zL3QgiKHB6ODHQSv6wkppsmvZEgTtUywfxLN41Jhm762L8v595cmYFIr5fev3xFWeNyLETbvWmaHDzSzP5Dzdx16zJqLysVp1I6Tz9/mp/+6jBdPSNkZbq47aalvOvBDVNqLswVcwoSTNOc0rXK0A1Co2H0lIErw4GsyhPqXNdy06SMKHF9EFXyoEoOEFL6RxfgtdbhtdZNuZ0mKdxdsI7NWbXEjSSqkPFZXGjSGzYemoAdG6t5/PlTfOW7L1Gc7+XeW5ZzoaWf5/fVMzAc4oe/epV7di5jw8pynnvlHM3tgyxdlI9FU2jvGubp3WfpGwzy48cPc+uWWjIzHNhtGjmZLuxWjWyfc8rr4MtwcPvWJfzi6WOkdIM7dyylqjSbTavK+c7P9+NyWLn35mXYrCo3bVzED351iNxsFyUFGSiyxP23Lufpl84QjsbZuKqCzavfGL3mpmnS3DPMX//P07T0DuNz2SnM8tA56L8snhKkdIOfvnSS4mwvD924kliyjVD8GA7LCpL6EDZ1EcORpyYFCTZFYVVxAY8eP8Ou802sKy16TVj7F9HQP4hhmtQV5LKsYCKXIRCLcWFg6Kr7UMfElsLx6bs8poIAKnJ8uGwWAtFr2/ZKtA2O0DXiZ9EMpM7XGrKwsML3AbxaOQkjwnn/zzg29C18lsXk29cgC40lGW9nkec+Tg5/l57oYbbn/R1WOZ21VCU7F/NIcd3P/v4vEdcDrM3+BG61mMHYGU6P/JCEHmRDzmdQhQ3TNDk5/F2GYudYl/VHeLRSovoIg7EzWCT3OLcqw1LFlty/YTTRzMGBf6XCdSvV7nsBkISMTfbhdgygaTIHT7axc+OidFvvFFyjrn4/9S19LC6ffvKiKTI1Bdk8d7px3mnxs939jEZiZEyjgXOtMMc4N1dm3IZiEfqjYe4ovSRQtT63mF+1nqEjNEqePe11EEjEODHYzaaxbMNFjMSj9EZDLPJmj/9up4Z6scgKJZepc0ZTSVqDI2zKKx3PCpwe6kMWEmWXiWO9FiFRMqXzysFGXny5npXLiqkd83YwTTh6sp2vf2c3sXiSnCw3oXCcn/ziVVxOKw/es3rGLrhrwZzenCN9fh775i52PnwDRdVpcx9DN3jpFwd57oevkIwlWbGtlrf+0e3YnFZ0w+TZkw3cuSqtTmUYBgebOlhalDutFWogUc+Jgb/BrhRjV4txa1W4tCqcagWKZB+L0qQxj4PLoj4zPeceSgQYTYRZlVGBbhqkDH1MN+GNDZfDyjvvXTdh2YraIlZckSb0eR0sm0Lr+8PvmsgFuCjSUV2WTp1VlEydBpQlidV1xay+ooy0bX0V29ZXTVi2dX0VW69YVluZR23ltRMEX2vEEim+/9wR2vtHuW9zHffesARdN/jgP/10fB0hYEVVAZIExxq7eejGlRhmBFXOQZNzSc8lEphM1qXXFJm7xzoRnjh1niynnQdX15HrStdkk7pB08AQ0WSS1cWFM874ZgOfPT3wto/46Q+GyXLaMUnX+b9/8Dgnu3qvuo9Cb7qV8UBLBz3+4Pi5mqQH4uk6GIQQlGVlkO1yzDtISKR0Djd3Uf0aZ16mghACp5rLhpw/5vKxwyK76ArvZzh+gXz7GoSQsCvp50cbKwU41XzsysRnyDRN2sN78Cfa2JD9GUqdO9L97dYaovoQZ0Z+wtKMh8mwVI15SYxglb1kW+uwK9l4ERTYJz7zqrChakUkjTASChbZg1ubOAZUlmSzYlEh//WTlzl1oYullflkZTjTiou6QSAco7VrmAMnW+gbCvHH771pxt9kVWkBiiyRSM2PmDoQCNPUN8Sa8sIFubYm8PPmk+TZXdRk5KJJMi2BYb5+Zj+yJLi1aNH4uhtzSyl2ePiv0/txr7JiV1UeqT9CIBmfoMIJEEzG+UHD0TGjLTdHBjp5ou0cW/LLyLFd4lQkdJ1fNJ2kNiObmowczo8M8OPG49T58qhyL1xZZSokkzoXmvpwOCwsWXwpixCOxHn0iWOEI3Huv3MV99+5koamPv7rO7t5Yc85brxh8SWr6HliTkHC4edP89jXd7Fiay1F1ekXw+n9DXzjz36IZtXwZLr45X8+i6RIPPTpu9CBV5s7uGPl4vQXNwz2NbRRnOmdNkiwyD4yLCuIpLoYjB6kJ/wsuhlDFhacajlubTEeyxLsSgFWJRubko8kVIKpKN9teYHuyDCDcT//sOK9PN93knJHLhuyFk15rDfxu4sBf4jD9R2sqCzg42+5AbfdQtegf9J6Ppcdl81KR/8oABalCN14luHIKQQy/ujuSVkESA+u60oL+dRNN/DV3fv5772H+fHhk2Q7HchCMBKNEkkkuWPpIpYX5s87SNhWXU5NbjZnevp43yM/pyY3C90wOd83gNdm5S0rl/Kr42dn3MeOReX8+HAm9X2DvOs7P6XU58XExB+N8ckbN3PT4ulLc/leFxU5mTT1D8/reximyd4Lbdy3ZslrmnmZHoKkESGY7CahB0iZcaKpIWShoZvXFgAZpBiO1yOQiOnDdIRfufSZmUI344wmWsiwVCEJiVrvgxwe+CrPdf8xJc7tFNo3kqFVoUr2a3qpOmwan3rPjfzwyUO8eqqNPYebiMWT45lbVVVwO6xUlWTz8XdsmzGTAFCTn0OWy0H3yNRGULPFSDjKoZZOVpUVLIi7JMAF/yBfP3OAUDKBiYlFUihyevj7DXdQ7b30os6xOfk/a2/mX0/s4b0v/ATTNHFpFv5o2RbW5xRP+H3LXBlkWe18bM8vGU2k5aSXZOTxqeVbsVymxeC1WFmWlcfnDz1HfzSEYZoUOT18dtUOsuborTNbGIZJ/2CQLJ+TvJw0N880Tc5f6OHM+S4qy3J4+/1ryc/1kJ/r5cDhFg4fb6VvIPD6Bgktp9vJLMggpzhdZ4uGYzzzyB40q8bH/vU9VC4r4T//5Afse+wIq+5fw6NnGzjc3MVf/+xZAHQ9TVhyzuDK51BLWJH9t6SMIHF9mJg+QCzVSzDZRDDRxEB0L+3BX46RjbJYl/dlHGoJLaE+EnqKv1z6IP96/tcAZGgOemLzG9RmC9M0iUTTnhWqKmO7BufBqyGeSGGa5oz1JmPMR940TaxWdVJ3REo3SCZTWK/JMvm3F9F4ksFAmJtWV+NxTC8rLAmBVVOIj7nYKZKPHNe7CMWPohshLEoRDm1q7XtZkrh/RS2LcjJ56kw9R9u76QukB5MMR1rp8M6li1EvCxAUWcJrt077DMiShNtmwaqoE9KY+W4Xf3/frfzo0HEOtXVxuK2LDIeNHdXlvGXlUhJ6igPN7ZPkny9HttPBF+69hZ8eOcWrY9LONlWl1OfBZ59ZdEyWJDZWFfPc6QszrjcbnO3qo6l/iGVF19dq3DRNhuP1nBr5PoFEJ5KQUSQ7mAYpIzaH/emkjBgxfZhjQ98cLxlchFXyXGZOJyiwb2R7fh7t4T20hV6kOfAMWdZaVmb+AR519oqlQggyPHY+8tBW3nLzCnoHAgQjcRJJPd2ubtXI8jopyvVitShX3a9VVVhTVjjvIMEwTV4618y7N6/CNctWSICbixZR5vKNG81dhAA+sWwLd5XUMhiLYGLiVC1UuH3k2iaWTyUhuCGvjBKnl+bAMLppkG93s9ibPalcIQuJ9y1ey0NVKxmIhrAqKjXe7HHPjfHjC8FdJbW8o2oVnWE/qiRR4c6kyOEZL6d/avlWXKoFWUh4NCv/vuU+6jLzSBgp1mYX8W833DOjCNR0ME2TRFLH5bKOt8AbhsnBwy2EwnHuua2c3Ox014XFopCX4yYSSSwoL2xOQYJ/MEhGjhuHx45pmvS0DHDk+dNsvGMV625ZjqzIbLhjJV//sx/hUVQ+cstGUrrOe7etAdIM8iyXY0aDJ0hfnLQUsxsnZaSMMK5kNWGtnXCyjZH4KYZjRwkmG9HHHm4TUCQJ25hvgwkMx0P4LAsTVc0Gjz1zgv2HmykrzuTTH75lwfb7+LMn8QcifPCdW6ZdJxiO84OfH+TwsVbe8cB6bt2xZMLn5y/08syLZ/jUh3Yiy7/7QYJApOuIxsx11qSuE4olyPGmB4iE3ktf8LsYZgIwiSTPEUoco8D98Sm3V2WZ5YV51BXkohuXmMwXjy9LYsJgtrwwj5f++A/GLbmvxKLcLH75h+8e85G49MKXJEFtXjafv/tmDMMYM+lO7/+i3fDjH33vlOqO47+JECzJy+H/3HkTxti5irHls+m02FRVgnsBeAn9gTD7GtqpK8q7rs4qhpnk1YF/J2mE2JT7F2RolQghEUr28GTHB2fYcup7SBIqVtmLSy1iR/7/w61e2UEgEJeJ6EhCJsNSiVcrZ6n3YTrDBzg+9E2ODX2TG3L+8pp1GGRZojDHS2GOd4LOwbUGXoosccOiUp451TDvksP5ngFOd/Wxqark6iuTPtcKt48Kt2/KzzyalVXZhbPeV4krg5IrzLSuhImJKsmTjLmmWBEhBDUZOVOuK4Rgw2VS0VZF5dbiReimwS/bD3Fzfh23FM8tiy2EwGHTiETTeimyEIz6o+ze14DdpnHj1sUTuIGynLY3N64y3l0L5hQkKKqCnjIw9HR0fPi5k4RGw2x/cD3y2AzG4bYRjyaIxhPk2a383o3rKMn0zvoYhpkkoY8Q0wfwx88yHDtJKNlM0giODdxgV4oodb0Vr3UZ9rEHs8yRQ8JI8S/nfkVTqJfvNj9P3Ejy4esopPT2e9fisFu40Dx/pvDlMHQDXZ+5vdDttPKh92wlHIlP2YpYXpLJQ/evXRD/+N8GOGwauRkuznf0MxKM4nVOziaYpsnxxm7C0Ti1pemUrG4EAZksx1tIW0WLcZXP6SCESLc/zaKiIIm0O+RcPhdCpO2Sp3ihC5hxv5P3cfVzvRKZTjurywp56VzztW98BX5zsp53bFqBZ4HMo2aDpBkhkhog27YUr1Y+XmLoix4nZUSn3EaV7CSMEHHdj032wVgYKJCQhEyefS0twV10R17F4c5BkWyYpoFuxkmZcWxjZEfDTBHXAyiSFUVYkYWVQsd62kIvEE71kTKjE3QYJKEgCZlIaiCtNIuKiY5AQowpDeq6QTASJxSOMeQPE4klUWUZj8uKx2XD5bBi1a6eSRBCsLQwlwKvm9bBkXn9xind4Ilj51hdVjCr+/G3Gd2REToiQyx2F3BkuJmdeZdI9TomHZFhjgy3ops6/bEATsXK8owSXh1swqFYMDHJs3oJpqI4FSsrMkqxyulsiqJIlBRn0to+yLn6HkqKMnlq1ymGhkOsX1NOWfGlUothmPiDUWRZmqSDMx/M6eoVL8rnyK5TtNd3EwlGee4Hr7BoVTmLLmO0B4ZDqBaFRw+f4aMVuZzp7LumICGQuMCRvj8hmupFk704tQo8liW41ApcWhUutQJNzuBKTqlHtfPRqjs4MNRAsSMbr+ZgY+ZifNr1EUC5qIiVlsm8tNw0Tbp6Rjl6qo1AMEZRfgbrV5djs6ocOt6KzarR3DZAPJFi7YpSyscIhu1dwxw80oLTYSEYvnoqVIj0saeaEb584AKNrf3k5XgoGvMljydSHDjSjM/r4Ex9Nw67xsY1FWT5nJgmtLQPcuRk2g9+8/oq8nPcv1Vliiy3gw21JTy27wzffOIA77ttzWVdDemI+3hTF//95AEcVo2bVqUJmZKwEk020h/6CbJI1x1VOZN894dfny9yHRBJJkiZJm7NwkA0TJZ16hq53aKxdVEZ+xra5q2+2Do4ytMn63low/yNd0zTYCB2hmCyk6QRJa77CSQ7uOB/DE124dFKybTUYpHcZFlr6Qof4NjQN7DKXvyJNiKpQRzK1HX7PNtqzo3+lIMD/0KOdQUmOpmWGkqdO2CMeFjpvoNTw4/QGzmKSy0Y11UwTZ3t+V/AIruJpAbZ3/8lNMmBUy1AQiGQ7KQncpga71uxSBPt1h1KLhmWSlqCu9DNBFbZi4RClfsu7EoO0XiSx144xYuvNtDQ2k88cYlcKyRBjs/FmqXFPHjLShaV515VVrsky8vy4rx5BwkArzS0crazj5WlBa/ZmDH3zMmlHN6Mol4CrrbbuJFkJBEmaaQYjE10OI3qCX7TfYJ3lm3m4GATG7OqOTXazr6BBtb6KgikojzZdYyNWVU0BHqp9RRMUGW0aApbNlRx5lwXX/z3p8nNdnO2vgebTeO+O1aiKJfG+XAkTk+vH6fDgsO+cGXuOQUJm+5axWPf3MUXP/B1JEUiEUvwzs/ei21slmaaJheOtZJVkEHz8Cidw6O8dLaZVaWX2PhCQKbTMS2RSzdixPR+VMmFz7qaTOsa3NpirEoOFjkDWUwcwALJyHiPKzBJPCluJLHK148gNVWyp7VziGTSICfLxePPniQWT3LbjUvZva+B1o4hbrtxKbpu8PXv7eEzH7kFVZX52ndeom5xAaomc+REGyuWTm9XfDUsqsylp8/PS3vrueOmdLQbj6f42WOHycxwcsP6Ks42dHO+sZdPfehmWtsH+fr39nDD+koSCZ3//PaLfPyDN44TaH4boKkK7755NWdb+3j0lVPsOdlEhivdEbD3dCv1nT+jtWeYWCLFe25ZQ13ZWLeOGcWmluO17RzPIAhx/Wa71xtJQ+fEYA+BZJzajBxe6GzivTWrpywDSEJww6IycjxH6ByeTAK9puPqOo8dPceO2gpy3VO3584WBjo9kUP0RY9joONU0+NNW3g3EjIFjg34LIsRSKzN+gRNgafpj53ETxu5thUs872P5sBvxjsaLkeObQVbcv+G5uCz9EVPYJFdZFpquDhJEcgs972fXNsqWkPPM5JoQhYWPGoJxc6tY+2SYJN9VLruoCuyn4HYWTANHGoO67M/RbFzC7I0cYxSJQdrsz7B+dFHGYrXE6ADn6UaIWTiiRTf+OkrvHCwgbqqAj7y8FbystxYLWnFxdFglPqWPg6daedvvvoUf/+pe6gqmbnlVJEk7lpZw1Mn6md06Z0NBoMRHj18hrrivNdMD6PJP8yvms/w1so6yj2TSxXT4UNLNvDuRavpj4QwMJnaExbuKqllc27phG6HK2GTNUYTYZpD/RhXjPyakFniKaI+0IMmyWiSjEDgVKz0xvykDJ0adwG9UT9u1YYmKRO8KCRJ4pYdS7jQ3Mfeg0309gVwuazcf+dKVi2/RMQ0TZO+/gAtbQPk53jIzly4SfGcgoSCilw+/i/v5env7SYeibPlvnVsvmfNeF+mfzBIV2MfyzYvJndlNd9+8TBnuvr4yjN7J+znM3dt4/9j763j7L7q/P/nR667zB33yUxm4m5tGqmkSpVSaJEii8MuX1gWlgWW1d8CyyILLLvs4i0FWqhb2rRx94y723W/9/P5/XEnk0zGJ5MQ5MWDtnM/cs7Hznmft7xeLvPEiVIWbRlL3V8kkKjFHz9Hnfc7AOjlHExyIRZtKTZdDTbtQvSyh/9qfIHuaMb6VVQlQyKEMKIEKfLWok2sc1fN5XLnCQIbV5eTVhRUJZPc2NjSP2oYrFtZyh03LSGeSHHoWCteX4T+wQB6nYa337sWSRLp6b28ATk7y0pJkYvjZ8aS7cQTKe6+dTnLFxdSUuTiOz98jXRa4bU9dVRX5nLbjUtAheNnOqht6B1NlPlDgCBAvtvGF991Ez9+6QivHmuk3xdCFAS6Bv10DwXw2E08ctMq3rplGTpt5pOQRRsg4Iu+hsCI609yYtQsnKK1uUFV06PllQLymPj1VNvmE2lFpSPkpyccJJxMUmSxT5knUOC0sq688LKNBIDTnb28fLqRhzcuv6zzSIKGZa5HZ7SvSeNhqetd435f6Z7YUyQJGorMmykybx637Xx5tSzoyTetI9+0bvI+ilrKrDdTZr15Rv3MlGvmsjrrI+O2nW7tYfeRZt75lnW8ZeuSCSncb72+hsb2Ab78n8/z7K4zfOKRLdO2ubgwm6pcN2fmgVjp1TNN3L1qEStLZuZNSCkKL7TVkVIVsg1mlrhzeK2zmVAywfV5JfSGgzT6h5AEgVuKKymzOSk020goaYZjERp8g6zNLuRQfyelFidZxgvVB9FUkhfb6gmlEmzMKSappPmv0we5Lq+Em4sWEErG2dvTjlNvYGNuMft62vHGo+SaLKMMixPBo7dSYclBFARWO8tGfxcRWOuuIFtvpT08hFHW4tSaWeYowizraQ0PoBe1rHaV0RkZxiRrMUrjEz1tVgOf+MB2tl2/EH8gSnaWlUUL88aFFERR4MYbqqksz8HpuGAkTKTHMZvxe05GgiiJrLllGctvqEFVVbR6DeJFHgGr08yXHv8EkkZC1sncGkvwny/v4+M7No05j0k7+cpeK9kpMN+Byg4UNUlKiRBMNOCLnyaQqGcodoze8OskFD86yclDRV9BK+cxGPPzVNcBbslZQZ7ByXAixAs9R7Bpr2ypynRIJFO8+sY5ztb3oCgqHd3DlBW7M4mWsoTbZUYUM4RRsiyiKArBcByLSTf6MtisBsKRy0sWmwgGgxaH3TQaqjhP3DgwFKKpdYCWtgFUGKX+/EODIAiU5br43Du28+ita6lt72fAH0IWRXLdVhYV52A3G5AuytOQJRdO423EU22oZFZUkmi9Iv0LJ87QE/gB0WQdudYPkGW+/6Jtp+gJ/DfRZD151g/iNt87xZnmDp0kcXPRAhp8QyioM8rEvnf1Il4+3XDZCYxpReVHbx5hVUke1XmePxgD9Dy+fe4NPlGz5ar32+uPEE0k2bpmwZSqr8V5TpZW5tHWM7MKL6tex50raqjvHbpsoTB/NMZ3X93Pvzy4A5d5+hLPtKpwaqiPt1ctJ9tg5vhgN3XeAXKMFt7oaiGRTrPQmUV3OMDZ4X7WZl/gdbFq9Zwe6qPc5uL4QA8rssbyyERSSTpCfpa5c3EbjOgkmTyzldtKqtBKEr9tPstNRQvY39vOicEejg1086El6/lR7REWu7LHVT2chyiIrHaVjftdEAQqLJnw1SL7BQ+wWZPxSGbpL4wndu3UVUVGo451q8a3cTFKity875HrEUVhNOcsmR4mGD9JWs3k2ggIWPWr0Uoz53eYc0aJKAroJol7iJKIyXbhom1GPW/ftByL/oKVdF6tbDoISIiCiiwasOkWopOzMGoK8cVPMRw7QSrVTTLtw6KRsGqtdIQHyNJZWeYoRRJEsvV2mkO91Ae6WGidu6t+plBVdWSSVUeZKQUBBodD/O7FE3z0vVspzHPy5HPH8PkjnOeCmijHPctlZsgbJhCMotFIdPX6sFmmdnmfb/M8S9n59iETAlEVFdRMqeT5D1acJMO+rNiN1azngbtWIUki6bSCzTr/euVXA4IgoNPIFGc7KM6eOusZIJHqoi/4s5F7JJJWAhg0C7Drt85730zaGkqcX6Rl6HMol9Tom7SLKXF+ieahz44m7M4H4qku4qkuLLo1I9TdAgPRMLXefgostnF0tZdCEAQqsl2sLy/ipXkoh+z1B/nfN47whbu3z1hBcDKoqkpraJg3+xrRijKbcyo46+tlS84C9g00U2J20RQYpCk4wEJbDitcBTzdcQoQKDE7kQQRl86IVpRpD3tZl1UyGsvvDHsZiIVoDg6yxJFPXzRANJ1gIB7i6GAHW3Mrx9TYX0kY9BpkSaS5YxCHzYgoCOMmYVVVCYRidPf7cdlntlASRZFtNeU8tv/EvOQmHGru5Omj53jn9StnxJtg0Whx6Y2jOguqCnkmK/lmK/t62lFGxliAeDpFLJ0imspoM2zIKeKx+hNszC0ep7ho0+rYVljOiYEe0qrClvwyNKI4wjCZuXcqF86dVtXR8MF8UCxfSZyn3xcvueae4C9IKyGCiZNYdasIJc5i0i6Eq2EkzAaiIFCaNTZedKCxg5p8D/ZJqDsT6QBDscNEkl2Ek22Eks2Ekm0k0l5EQYtBzsEo51NouQuLtgKDlLHYbBojdYEuXu09QZbOSiAVY8/gOe7OX3/FrxNgaDjMa3vrOHaqncGhEL948iArlxSRm20jL8fOi6+dwWzU0zsQIHsasotlNQW8sa+B/+87L+F2mvAHotinmaQbWwbYf7SZuqZevL4w4XCcGzZWotdreX1PHafOdtLeNczPfnWA6so8KssnJ1i5ecsi/vunb/LjX+5Hq5WQZYl7bl1Ofu70k+wfOlKKF6O2Cr2cSca16FbS6f/GFWlLEGRk0YYgjJ8cz2+brrJiNlBVlWD8MJFELRbdas7H1dOqgoqKXauf0URn0ml5YN0S9jS0Eo5fnvqkqsKLJ+upzHXz7utWobmM7OykkuaFrrPYtQbawsMMxIK0hYZoC7s4MdxFmSWLV3pq2egpY09/EyVmJ51hH++uWI9dZ6A5OMQ5fx9mWYdFox8zPaQUhY6wj2PDnegkDRpRwpeI8pPGg7yjfA3aq8jqWl7oZkFRFl/9v1e5a9tSqoo92CwGNBoJZSSk2T3g5/VDDdS29PGVj98x43PnOSy8ZVUN/3FJiHguSCkK//PGYcqynVxfWTplZZUkiCxx54xKPS915TIci9AV9pNnsqCRJI4NdOMxmql2eKjzDhBLp6jzDlJuc5FrshJX0hPmJ0RSSQ73daKVZCpGCJi2FVTwfFsdtxZXsb2gnL097dh1ehY6POzubuP51jqWuXNx6ade6V+riKW6KHN8lnb/tymyf4T+0FMk0v0YNCUzPsecjITm0x14+2YWi3RV5+J2mvGGY2NWJ3vr2yhy2yc1EkLJJk4OfAkQkEQDeslDrmk7Nm0NFm05Wsk+XtcBKDZ5eKh4M6/0nsCfjGCUddySs4LljqujJWAwaFhSnU/NCMe2IAhkuczYrAY++uhWBoaCaDQSDpuRVCpzP95x79pR0iWtVuKjj27F7bKg1cp84JHr6e0PoNFIWMz6aRUWnQ4TK5cUsXJJpm5XFAVMxkzIonpBDuUlWdxNZlqw24yYjFo++Rc3kuPJuL7ycuz81QdvRKeV0OuMfOg9W+gfCJBKKVgsejzzxOJ1rWAyXRFJzFynVspiMPxbkumBaVfyiprAH30Tb/RFUkoQWbSTbXkYo6aGlDJMf/AXRJJnEQUTTtNt2PXXj6hLzg0pJcBA6HFC8ROIghaHcQcOw1YEQYOixvFGXsEXfY20GkYruvFY34lGdNIf/DnDkedJqxFiyWYk0Uqe7S9w6nIQBZFTQ33kmixUT1M/LggCq0ryWV9RzKtnGud8HeeRVlV+9OZRcm1Wbl1WOSt1zEv7ZZZ1mGQdmzxllJhd6CQN/9ewn+15VRglzagBcHN+NUZZi0WjwyhrkASRQpOdE8OdhFNxVrgKxrwbDp2RttAQi+15nPH18EDJCvb1N1NqcVHv78etM2dKS68C7BYDH3vHDXzvl7v55QtHM0T1I7Ta6kjljqKouOwmPvXubSyrmhnPwHnsWFLJM8dqaeqfXg9kOnjDUf7t2TfItpqpys2aNOwgiyI35F9wqxs1Gm4ryeQBpVWF1qCPDTlFlI0YAcuz8lg+ElYYjIZ5prWW1Z58bNrxBrdVq+dd1avG/LYup5B1OZmQhdtgGjUu/PEYJVYHb1uwdM7v4ZXARPkFk0EQBPRyPknFiyRa6A0+RiTZglGzYFZtzmmEevyrT/P6rw7MqJPXf+N+btm6nG88v4fy7AvWXW33AA9uWDrpsXophyrnR7FoSjFpitFJbi4ud5z8JZNY4ShjhWPq+M2VgsmoY2HFxBoGTocJp2O8yy832z7636IoUlTgGv3bajFgnUI2+lK4HCZcE7QBsKBsYq9BSeGF9vQ6zZjaW6tZj3UCboE/FKiqSke/D4NOg9t2Qe5VVVXCsQS7TjTTOeCjIMvGluUVGEeYKHVyEW7T3UiiFZsyRDhxlhzLI1O244u+TpfvP8i2PIxBU0FSGUYWbShqlE7fN1DUMB7zO0imB+j2fQvRrsOq3zCnWLaixunx/xeJdA8e80OklGG6/d9BEkxY9RsZCj9Hb/CH5FjejV4uJqkMIQsWJNGM03Q7SWWItBIk1/oXCIIGrZRDKpFEVTMDtT8eG+EBmBpaWeIdG5dzrLWL4fDEHAOzgTcc5evPv4nDZGDDgqJRkqfZQBZEbitYxMHBNryJCBpRosziZn1WCUscedi1Bu4sWkJjYACNKGKUNax2FyOLEqqaofzVijIOnQGzPHaysWj0LHMWUGPP4fhwJ4UmBzflLWR9VikHB9tIKClk8epUUQmCQHGek6987A6aOgZpbBtg2B8mnkwhiSIWk56iXAfVZTlYTLML4QiCQL7Tyv1rF/P1598kOQ0/y0zQMuDln373Ol+690ZKsxyzfq4iArcUTT7BufRG3rVwrHLwXGHV6nh75dXj1pkKqqoSi6c4drKdlraBUWKlqXDr9sUUFbjItTyEKBjJNt3LYOQFbPq1mLTVs2p/TkbCdXevobByvLhQLBqnr22QuiPN6IxaHvncPay8aQmyTsONiyvGGAVPHDiFPEVZjEGTQ7HmgVnHglRVpSs6zO6BswSSER4q3sxQPIhDa8Y2TXLIn/HHh1gixQ9fOER95wB/986bWFjoGf393x5/nZeP1BNLpNBrZQ7UdvCpB27AatShqHHSShBZdGDT34BFt4Z4qmvSdhQ1hjfyIg7jzWSZHxwlugGIJVsJxHZT6flvDJpyVFUhmmzEG3kBi341ArOfVBLpfnzR18m2PIwgaNBIHmTRRiC2D5N2Ed7oS2SZ7h0hg7qEJlguRhadCIgYNBWj2wOJEG6DkeXuPJ5rq51RPwRBYHlxLrctq+Jn+44zi4XOpOgLhPjyk6/w/27bzPZF5bPm/xcEAZfexK0FY9lGby+8QHKzyJ7LInvu6N8rXZnVpKqq7B9oZTgeZntu5bjJRhQENudkuDRuzMuscDdlZ8qtN3hm761UVRV/JIZWI2PUzl7eVxAENLLEwtJsFpZmXxbj4qWQRJG7V9Xw4sl6jrf3XNa5zuNYWzefe+JFvnLfTVRku2bVx5mQQc0X5uNcaUVhOBzFaTLM2RuhqiqDwyG+/YOdHDrWSjSWnJJNURQELBY9a5aXUFTgQiNlFuaSmE++9VFiqTZSig9JnPnCc05GwvV3r+H6u9dMuE1RFBqPt/Htv/wxHXU9bLh9JbIs8eCGpRhGPgJVVblxcQVWg25SIou5Jor0xXz8oOlFio0eTvpaubtgPQeG6sjS29iWPbnn4nKgqiqJeKZMTRQFZM3Ekq3JRHr0I5YkEUkWx+2nKCrJEUIUURKRJ9jn/Lma63qoPdlBb7ePRDyJyayjsNTD0jWlZGVbEaXxx17aViqZQlUz/ZE10ui1nD3RTv3pLgZHwkpmq4GyyhwWrSzG7jTNmwzplYYvFOVsay8aWcJhznwYqqry5qkWXj3aQJbNxI2rKjlc18FLh+rYtLiEm1dVEks2E4jtJdf6fgRBRlES9AV/RInzHyZsR1WTpBQ/Vjlv3KSsqEkUNTVaHSEIIhopi3iqHVVNwhzyDRQlRkrx4Y/tJhg/DIBG8mDQVKCocRQlhFbOH9eXyZBSFNx6I7Xefl7uaKDKnjXjL1Any7xj0wreqGulfcg362uZCF3eAP/89GvEkkluXrIAvWb2E+hcIAgCGzylc5rwZwpVVUkrKoPBMK+ebWJfYxvvvn4Vq0svP7F6vissLHodj96wmr/91UuXXcUCGV2HUx29/O2vXuL/3baZlSV515Q7/3KhqirJtELroJcXTtRR2zPAPz5wy5xlsxVF5cWdZ9i9vxGDQcsNG6twOUw8/eIJykrcVFfmEQ7HOVvfTXevnzUrirnvzlUsKHehqClAuUg3BILxk2gkNzo5d/JGL8G8Jy6KosiCFSVsvm8tz/7Pa9zyyPXYc2z8Yu9xVpTk4bFacJgN7K5rpdsbYFNlMavKCqZlApspuqJD5BmcPFK6hfbIAALg0JrxJcLzcv6J4BsK8cmHv084FGPRimI+/U8PYL6kCqGv28eXP/EzBnp9gMANO5bw4c/ePkpjfR7NdT184cM/JplMs+OeVbz74zchX1R2mEqmOXGomSf+903qTneRiCdR0grqCL+4JIuYzHq23bGMux5aT07+5G691sY+vvr5X9Hf4+P6mxbz8b97C8cPNvPYD3ZRd6qDZCI9SgMtigKyLOH0WLj3kU3ceNcKDEbtNV+uFo4l6PWGuG5JCVkjugzhWILnDpxDI0v81QM3sGlxKY1dgzz6b4+z60QTN6/K8KxfXGmgkkSdIidBFHVopWwiiVpUNTlC5ZyBJBqRRTPxVCdaKQtVTRFLNqOVcxEnSFacCSTRjFbOwW2+F5v+4tJiAVVNIYsuoolaVMO2CfIehIzho15INjzS38m+3nYCiThmrY7BaJiNucUzNhQKHDY+uG0d//i71wjH56cKoz8Q5stPvsrJjl7ed8Masm2XR7b0+4aqqgwEw9T1DPL6uSZ2nm1iOBRFK0s8uO7KLGAuF4IgcF1lCfesWsRP9hyb1s09U5zu7OOvfvYMH9y2jrtW1WDWXftjyVRIpRW6fQFOdfTy8ukG9jd2EI4ncJmN0+aRTYV4IsXeg03odBo+/dFbWL+6DEVReH1vHUuqC3j/O68HIBJN8LNfHeDl188SiSYIpJ8iHnEzEH6Gi4OG8XQPRfaPz6oPV6S6QRAEnDl2BjqHiMeSKKrKS6caGApFUFTYvqicuu4Bti4q5+VTjSwqyME4hbLhbGCUdAzFg/gSYVJKmmAqSlOolyX24nk5/0TQaGVsThN93T6a63pJxJJwiZEw1Begval/dNJtb+on4I/iuIQZq7Wxj4AvAgK4PBaki2g3k8kUL/7mCD//r9cZHsjQf2o0EnqTHkEUSKcVErEkfm+Y3/58H7UnO/nEF99CcfnEtedKWiEcjBEKxKg/08XhPQ385z8/Q0/HMLIsohvhv1AVhXgsRSKRorfTyw+/8RKRcJwH3nP9NS8SlUylicaT5Dgso4Zoz1CQI/Wd1BRns3ZhEbIkUpBlI8dhoa0vU/Klk/NJpPvp8n8HjZRFOHECk27ygVxAi9t0N23ef6TD9zUMmnJSig+zbgUm7VJc5nvo8n8Th2EbifQAkWQtxc6/AwRiyXbi6U6S6QGiyUaCscPoNZmQQDzVSTzVSTI9SDTZQDB2BL2mGK2Uhdt0D72BHxJLtiAJZhLpHhyG7Ri1i3Gb76HT9zUUkujlIpJpL1b9Bsy6JYCAQVOKN/IiA6HHkUQLS11rMWsW0BX2s9ydxwvt9bO6z6IocNPiCg42d/DbI2cnkUKaPWLJFL88cJJzXf28d8sa1lcUYdBMr0NwLUBVM0RL0USSpv5hdp5p4mBzB62DXkKxC4aUlvFhV0VNE0z2E1dCCIi4daUz9grNN3QamUeuW8nB5k7Odc+fHs1wOMq/v7CbI63dPHrDaipz3FOql15LUFWVRCpNKJ7gdGcvL51q5HRnL+1DvssWx7oY6bRCd68PT5aFDWvK0GplkskUOq1MLJHMeKQlEY1G4qF719LY3M+vf3eUv626EYfFRiB+lALbB0bP543uQpxlePOKGAnpVJq6w81odJqRcheBJYU5fHLHdTx99Bzd3gB2k4H1FUXsrW8jpaSB+TESysw5VFhy+Yczv6QjMsh/1D3NEnsJq5wV83L+iaDVyZRUZFN/uouh/gB+bxhn1tgqgNpTHWPEmXq7vPiGQuONhIY+FEXBaNJTdNHkrqoqB9+o57///UVikQSCAEtWl3LDjiUsqMlHb9DgHQpx+kgrrzx9nJ6OYc6daOdbX/kdn/nnB/Dk2qYcWDtbB/mPLz/FUH+A0gXZ3HjXChYuKcDqMBEOxTh7rJ1nnzhIV9sQsWiCJ3+ylxXryqlacuW5Jy4HoiiMM2RePdZAOJbg5tWV6EcYFgVBwKTXjg7esuiiyPHX+KK7SKW9uE33YNatnLQdQRAw61ZT5vpXfNHXiSab0EhZaKVcBEFDruVRDHIpocRxVNVEOPFxjJoaVBIE44eIJM5h0tYAAsPRl7CzBYtu1ci2WkzaTDzdG30RU/oGeoIVLMp+G3pNKcHYIVKqF4OmDJ2coWq16a9H43Tii71JNNmEVs5DK41UKwhg12/NJG8mTqORHFhFgSyjkRODPbzQXo9Tb5x1wM+o0/LRmzbQ2DfE6c6+WR49OdKKyvH2Hj79i+fYXFXKQxuXsawwF900KrK/L6QVhR5fkLNd/Zxo7+FQcyf1vYOk0ukZG0/+ZA9nfc/j0BYiiVpcupJxz6Oz18ee4zMX2fI4zWxdOzc1whybmf932/V89vEXGAjOn1c2mkzx4ql69je2c++aRdyxoprKHPe8eZbnG8l0mub+Yc529XO0tYvDLV10DvvnzcNyKVRVJRZLYs3XX0RkJ2Ay6fD6IqPvkyAIOOxGli4q4KnnjtHfnybbbaDI/nEk4ULCtk2/AVGY3Vw7txLIU+0MT1ICGQvHObWnjld/sYfKlaWYRkg+TDot33v1AL2+IPFkCqtRz8mOHhKpNKJw8Wo5TW+vb9K2BQRycm2TqlzpJA33FKxno7uaaDqOTtTg0duuqG6DrJFHV+uqqtLW1E9p5YUKB1VVOXcyQ4VcsiCbof4gQwNBBvr8lCzIHn2AiXiSrrYhVBV0Bg2FpZ7R43s6hnn8v3cRiyQQRYEtty7l3R+/iaycC5N/UZmHxStLWH1dJd/44pO0NPRx7mQHT/5kD+//1K1I8uQfXjyWJB5LsmxNKR/67B2Z67monrlyUQGlVTn8+989SX+Pj4A/wt6dZ6mozh0XMrmWoNdqcFmMtKhA1zkAAQAASURBVPQOE0skGfSH2XW8iWyHhbULi8ZWO8QToxNPRiXRhtt014TnVVWVUDyBTpaJpVKkVYVYMoUo5JNlfh/eaBQBAUXV4ovEiKVSOI1bEcXr8UdjHOyopSYnSTCWwKC5Hav1LfiisYwwGALxZJpYMolZdxeCcBupdBqXyUgwniAQi7G7pYHFOdnY9Bux6TcSTSbxR2ME4zI2g4ooiJh0SzDplozru4CAIOpxmW7DZbpt9HePAe6rWEwsncIsz839m22z8Jc7ruPzT7xErz84/QGzQCyZ4qXTDRxu7WRxfg73rV3MkoJsHCYjmmnyb64EVDVDAR+JJwnG4vT4Apzs6ONwSwfN/V4Gg2EiibnyR6jYtPkUmFYgIiFMINfZ2j3Et3+2C40sYTXrMxPGFJPVksq8ORsJgiCwujSf921Zw9ef3008lZr+oFnAH43x491HeeFkPRsXFHPnimoqsp1YDfoJSaKuNM57gUKxBIFojPYhH0dbuznW1k3HkJ/hcGRePQaTQRAEDAYtgVCMdFpFljOkSS6HiY7OYVLJ9Kj+kSAIGI1aItEk0ZHFTiRRh1m3BAEtqpomlmpHJ+UygfNqUsytBPJrz0xdAilAfnk2D37qDix2Ewjwzs0rOd3Rx+3Lq3BZTJzr7ue1M01cV1WCQXuhG0NDIf796y+MXnRHxxA2mxGDQcPgYJDsbBtf/vv7sE5CKpRS0iiqSr7BedVeLEGAvCIXBpOWSChOa0Mf3HphezgUo72pH0GAVRsqOHagmWBdhMZz3ay57sJH6/dGGBoIAODMsuD2jHgjVDj4Zh0N57oByC108q6P3TjGQDgPSRKpXJTPOz96I//f3zxBNJJg57MnuPW+1WM8ExPBZNbz7k/cTHHF+P1EUWDpqlLWbq7i2V8eQFVUmmp7iIQTWGzXLgujy2qkujibw3UdfPWXu+gZCtDcO8xbb1hK9kX85qFonH5viOUV46t2JoKiqrze1EJNjoeT3b34olFiqRR6WcPKgjx+d+Yc15eWUGi3srulHYtehyyKBGIxzDot3miMN5taCSeThBNJSp12On0BUopCfyiMJAoYNBo8ZhPeSBSLXofdoKdt2IfbZBwzSKvA/rYO2r1+luXlsFg/vdrfZNBJ8mUxBoqCwLryQj5843r+9Zld85afcDGGQ1HeqGthd0MrC7JdrCjOZ21ZAcuKc/FYTGPe3csZAy6tSVfJPHdvOErrwDBtg37aBr00DwzT2DtIty84bytKrWginBqiMfgGGsHAIvutCJeM7DXlOWxaWUZ7t5ePP3wDeR7blJnv+ssM6cqSxH1rFtM26OOXB05etgDUpUgrKj2+IL8+dJpnjteytCCHFSV5rC4tYElhNma9bow3Zb6fbSqt0OsP0j7oo3XQS/uQj4beIZr6hxgKRebc1uVAlkQK8xx0dHvp6vVSXOBCFAXKSz0cO9nBsdPtrB+ha04m07R3DIPK6Pfvix0gnKgjy3wXQ5FXCcQOUWj/0Oz6MJeOb753HcXVE7uZZY2Ep8hN9dpysvKdo6tRp8nI5oUXMobXlReyqiQfSRLHDGhZWRa++KV7ANi9ux6vN8ytty7LCBz1+Hj+uRNTvhy1gU4ODTXwSOlW5CskhnMpBEEgr9CF2WLIGAmNmZDB+QqAjuZBgv4ogiCwcmMFXe1DI5UJnSMJh5nz+IZDDPVnVl8V1Xmj9y6VSrPz2RMZSmVg8y1L8OTaJ70PgiCwaEUR1cuKOLqvkVAgyq4XT/Pwh7ZOee9WbiinpCJ70n0kWaRmWSHP//oQ6ZTCUH+ARDwJXLtGgkmv5e3bV9DUPcRTu09nwjSluTy4dfkYVr8j9V3EkykWlUzMcTEZFFUlkU6jkSRqsj2owFAkgstoZHN5CW3DPhoGh1iY5UYrywgIXF9aQtOQl7N9A5h0WkxaDXUDg/ijcTxmEzpZIsdiwWk0cKa3j75QmKosN0EhjkWn4/qyEvpOnhnTj5psDz2BIH3BEItypiZBmitUVSWhpJAEEUmYeuV++/KFDIcjfO/VA8SS87vqPA9FUanrGaSuZ5DfHj2LWaclz2GlOi+LRfnZ5DtsmPRajFoNBq2MLEpIooAkioiiMEpbfv7fKUUhkUqRSKWJp9LEUyn84RhdXj/dviDd3gCdw36GQhFiyRTxkX2vBHSimTzDIgLJ/kw+wgSeBIfVyMcf3sIXv/UsP3vmMF/40A48zitLdqbXyHzkpg14wxFePNVwxdzs8WSKQy2dHGnt4uf7jmPV6yhy2VlcmENVrptsqwWjToNBq0GvkZFFEUkUkURhxIM38lxVJVMxllZGnmvmmcWSKQaDYbq9Abq8Abp9mWcbiMaJJ1PEUilS88ANcbnQamWWLSmktqGXoyfaKczLLH5XLCnid88d51s/2ElHp5f8XDsnznTy2p46PFkWXCNh7Dzrw/QEfk7j0BfQSbmUOD6FLNpn1Yc5GQmb7lrFprtWTb/jFDhf33spJEnENqL70N4+xJo1pTidmdWBJImEw3HisSSWSTQMkmp6lIv+aiI7347FZqC/x8fQQJBQIIrVbsqQ+bQOEArGMJr1FJd7KCh2IwgC7U39xKIJjKZMKahvKIR/OBPvq6i+sKId7AvQ3Z4RZ5E1EsvXTk8UZbEZqVqcz/EDTSiKSuO5biKhOOZJPDCiKLBwWSF6w9SrDbv7QoZ5NJoYk2dxLUIQBFZU5PNP772V0yOlkKsWFJDvvuCFUVWVVDrNHetruHHlzNjIREHAZtCzq6kFXzRGod2GRpJIqyqSIKCTZURBIMdqZqHHjU6WWejJ4kxvPy/XN6IoKqsK8ugJBsm3WrDq9Zzs6cVjNqECGklEFkVKXA5M2sxEtzg3m90tbbzS0DRGFh1VZTAcRlEzBkpaUa6ING8oFeNrtU+x1bOEzZ5Fk+4nCAJ6jcwjG1fgDUf5+d4Tly0UNB2iiSTRRJKBYJgTIzX9kihg0euwGvRY9Fq0spy5r1LGWFBUlbSikFYy/06kMkmGkZFzRRLJq+JSngih1CBD8Tay9ZW0hQ/j1pcjXTJcC4JArtvKxx/ewk+fOUQwFLviRoIgCNgMOj512/WE4gl217fNigVwtlBUlVAsQSiWoNsXZH9TJmyrkSSsBh02gx6TXotGkkaebWbRef6Znn++8WSKaPKiZxtPzrsn5EpAFAVWLyumrqFvlBVXEARqKnO5fsMCnn/1NN/5n9dG95dlka3XVWGwHaHL35spbBAkEumBDNtq6He4TDeil2fOvnltZv6MoLQ0i2eePk40msRo0NLY1Ec0mkCnn7zbBUY3b/af4eBQPVk6G+KIg8qls1xRJUidXkNRWRZNtT0EfBEG+gJY7SZSKYXmuh6SiRQV1XnoDVrKq/OQJGE0DLFwaYbIpa2pn1QqjVYnU1xxYTXY2tA3yp3gdFtwuKcvBRMEgaJyD5IsoiTSdLUNEgxEJzUSdAYt2XnTs6DJ8gXl9XRauaIDxHxBEAQWFnlYWOQZ/ftS3L6+htvWVSPNIra9saSINYX5CGRU1yRBGIkLw4biDC22QaPhrcuXZCZuUWKhx016RHRLFkWS6YxRK4siNdkeBIFRlkFBEEAd0VRQVTSSRInDjnKR9+k8KrPclLmcSKI4yns/3zjla+P1vlNUmGdWY63TyHx4+3pkUeLHu49ecUPhUqQVFV8khi8Su6rtzg/UjPDbNN5QQRBYtCCXv//o7WivkkKrIAjk2Cx8+d4b+eJvXmFPfdsV8yhMhmQ6zVAo8nsLA1wtCILAkpp8vvK5t6CRpVHdC4NBwwffcwMup5njpzqIxBLYrAY2rC7jjluWEVePkkhfKOHONj+QOR8CwiyLBOZkJCQTKWLhOEaLfkLCHkVRiASiSLKE3qSb86p+8+Yq4vEUr+08SzyeJDvHzqPvvQGTaXKaYH8iTFOol5O+ViyyYbTtuwvWT7n6uVwIgkB5dR6vPXeSkD/CcH+QssocErEkLXW9ABSWutHoZEors5FkiVg0SWtjH1VLClAVldaGTHmRO9uG3XEhtur3hVFGVuxmqx7tDGOLjhH5aUgTCsRGCZ8mgiyLGM2Xp753LWOqdzAjkT17Vj95ZHKfDlpJgotW9heP5RcTyUxGKiMz9T6CIIyspK7cJKGqKid8LaSmUYe8tF9mvY73b11DWlF4/MBJonNO5PvTglnOwqUtYTjRTrFpDeIUmWaiIKDTXt31niAIeKxmPn/XVv71mV28UddCeop8iD9j7hBFEZ127HcvCAJWi4F3P7QR/+1R4vEkRqMOiyWT6GlgHZDRkwnHzxJK1iELJmyGDWjE8eJXU2FOb9aJN87x46/8hg9/7WGqJtC4TkST/PtHf4jDY+O9X3krhikm9algMGi5664V3Hnn8lGyIEGYesAvN+fw9ZXvHff71ZD6XFCTCRGEw3H6e3wARCNxmut7EUWB4nIPWo1Mdq4dh8tMb5eXloY+0mkFAWiuz7hJc/Id2C7SX4iE46OWukYrI8szWynqDdrRFWcsGic9hetUlEQ012hJ2Z/x+4WKSiAV5VygA3UODAhmnZaP3bwRl9nI9187MIYj4M+YGLKopcC4HICe6FlUlHGJi79vCIJAgdPG3993E//23Bs8f6L+qnuL/tQhSeKEekDnMRB+hkDsKCbtQmLpDnze/RTaP4xenlmCNszRSDh7oJG+jsFJJ2udUYvVZeHIK6d426fumLORsH9fI06XmaqqmVNICoKAoKpE02NFMHSSBu1lKO7NBFnZNuwuE76hMJ1tg6TTCh0tg4RH8hGKRsoKJY1EeXUevV1eOloGiIbjJJPpUYKknAIHpotyLjIu/pH4uaJOVeU0BopyYUgXxand6ALTi/n8ISCRTvK1ut9S6+9ks2cRj5RuRSuOf+7t4QG+VvsUwWSU91fcwgZ31Zjt3kSIb9c/y0Dczycq76TEnE1HeJCdfSc56WsllIpi1RgpNWezPXsZC63jWUNVVcWbCLF/qI6DQw30RL3ElcSEz8+hNfPRytupsOSOO8dgPMBRbzP7h+rojXpRVJVcg4PVzgrWuSpx6azj2k4pab5R9zvqg928v/xmltpLOBvo4PW+UzSH+oilEzh1FlY7K9jkribXMDbUpKoq7ZEBDgzV0xTsoSHYQ2s44+n6ZftuXu49PqY9rSjz3vKbWH/JfYQLOQrv2Lgct8XIt1/eR5c3MP4m/BkADMVbERBpCx9GFrX0RmvJNlQyXd1aOJrg2LkOGtoGSCTGew3zPDbu3Dq+JPZyIAgCDpOBz96xhRybhZ/vO/5nI/AKQlVVEok0yVQaURQw6DVTjuv+2GFK7J9EI2UBCl2BHxFLtl15I2Gox4srx47NZZlYd0EQyCv18Nrj+6Z0cU+HY8faWL+hfFbHxNIJXuo5xqHhRhJKarRu+M6CtVyXVTPN0ZcHo1lHXpEL31CYrrYhlLRC47luVFXFbNVTWJoFZMpaFlTnseeVM3S1DRIJxxno9ZNIpJBkkZIKD5Ikjjnv+UqHeDxJaobJVNFwfLQiQm/QXtN8BvMFBZWuyBCNoR6qrPmT5kzElSTNoT58iRDB1Hj1wpSSpiMySHOol6FEiN5BH9+qf4aOyOCoMaUCh4YaMEhaFlrzudjMUlWVjsgg/3ruN5z0tYAKTl0mqWw4HkQZMd90oky23oFFYxhnzKiqyrlAJ9+qf4bTvraRVXymjdP+Nl7uPc5SewkfrLiVpfbisZM8GaGzukAntYFOzvjb+UXbG4RTsdFzqKjsHjjLiz3H+HT1PVRa8i4kc6Lyau8J/rf51dFrPW9yDieCeBOhMX3VijKh1NSxf51G5s4V1eTarXz9hTc51dE7L4JQf2wwyS6iaT9G2YFbV0o0Nb1BlUimefz5I/zotwcQxUxSeCyeQq+TiUST5Hms3Lb5yoRbBUHAatDxoe3rKc1y8B8v7p13jow/daiqSm9/gDf21dPcMkAoHCc3x8aH3rMFScrw80SiCQLBGBazDpNRNxKGtOOLHcRuWE9K8RNLdWDTr51V23MyEpSUgiAKY8h2LoVGK5NMpFAvI4O0tDSLwcEQ6bQyZtKcCk2hXg4ON/BQ0WYsmgtJeg6teYqj5gdGk47CYjdnj7XT1TpIKqXQVNuDqoInx44nxwaAIAoUlWehN2gZ6PHjHQzR0zFMKpFGliXKLvGceHLtyLJIMgH+4TDR8MyEVvp6fCjpzChsd5mnrVz4M8Yjlk5weLiRV3qPY5ENvL34BkrN2UiCSFu4n8ZQD2ucC8YQggFE0nG+1/g8x73NVJhz+XDlrSMJfwL1wW6+3/gCDcFuFljy+dKSh7BqDBguIvxSVZW6YBf/dOYJ2iMDLLQWcEvuSkrMHlAzpb4v9hzllK+Nfz37K/55+TspNo0vfUypCr/p3Ec8nWSBJY8bc5ZRbPQQTsfYN1jLSz3HqQ108N9NL/OlJW/DJGc8WAICDxZfzx35GSG33piPfzn7a9rC/TxcspV7CtePrVlHGPO9TQZBEFhVms833nEn3995gOdO1BGMXb5w0B8T9JIFrWjCqslBEmQssgdxmqHaF4zwwu5zbFtXxXvuWc/x2k5e2VfL5/9iB4dOt/Hi7nNsXzfeyzNfEAQBrSxx+/KFlHmcfPeV/expaJsXiek/daQVhT0HGvn+/75Bb79/tDSzqmKs6mdDcz//9PVn2bC2go++bysaWSLP8jDdgZ8yFHkBUdCRZboDk3Z278GcjAR3noPDr5zCNxDAUzhe7lNRFNpqu7A5zciXkVCTm2fnsV/sp6mpH5czM8kLAtx+x3KMxomT7BLpJGWmHKqs+cji1V05a7Qy+SVuJElkeDDIYF+Avu6MFsCCRfmjRpUgCGTnZfIO+rq9tDT0MtQfJJVKY7YaRj0O51FSkY3eqCUaSRDwRejr9lFamTOlmymdVmhr7CM9EiPML3JNWtnwZ0wOFXiyYx/LHaV8tPJ2ioxZY+57LJ1AmiADvTHYwylfGyIC7ynbzlrnBdnhDboqYuk4Xzj5c7qjQ/THfOQaHGOOV1D5ResbtIT7WOEo429q7ifvIoKwVc5y1rgW8Jnj/0d7ZJDfdOzjI5W3Txha6Y/52eSu5q9r7sWpveD9W+NcgCzI/KZjL0eGGxmIBy4YCYKASdaP/p1U0qO8I2ZZj0c3Nc33VBAFgWybmU/fvpnVZQV899X9tA54r3qG/LWCTEXL2HsZTXsJp4bJ0lfQG6ulwLhsypyEeCJF/1CQL3xoB0W5Dlq6MuFgt93E9nVVHDrVxmuHGnjnXbNbRc4WkiiyuCCHrzxwC7/cf5LH9p9gMBieNy2PPzSImSS6OR+vqip19b1894ev0zcQpLLcQ1lJFi+/dnbMfoIg4HFbMBp1nD7XxeBQiNxsGxrJTbb5PuLpbgQ0iIIGRYkgSraZX8NcOr5y2yIigQi/+faLePv8Y6yZdCrN/ueOc/CFE1Svq8AyRVLFdIiE41RW5aDTyoQj8dH/TzWWZOntNIZ6eKn3GIeHGzk63MzR4Wb6YxPTSM8nBEGguMKDVq8hnVaoPdk+ynuwaEXRmH1z8h04szKGT/3pLgZ6/SiKSmFpFkbTWAPIZNGzbE2GiEpRVPa8cmba0sOh/gBnjrejqpnKhUUrijAYrxw19R8z9JKGj0xgIGS2adFcYoyqqkp/3I8vEcahNVNuzh13XI2tCIOkJZSK0RP1jmuzLtDFUW8ToiDyUPHmMQYCZN61Cksumz2LUFE5MtzEYHxit7RJ1vFI6dYxBgJkQgSbPTVYNEYSSor28MCs783lwKDVsGNpJf/93nt59IbVZFmuXInytQgB8FhN3LykkiK3ffT3hBKlPXyUhsAuGgNv0h4+jMo0K3I1Y9AaRiqf9FoNoWgm4VmvkynIsXOqvuuKXculcBj1vH/rGr7/6D3sWFaFSfenNfaIgkC5x8ldK6sxaOfuwU2m0jzz0kkGh8O888ENfPXv38pH37cNvX78Oe02I/m5dvoHAgwNZ8KB3YGf0Ob/JsOR1xmKvsxA5DkS6cFZ9WFOy/zKlWVcd/ca3njyEL2tAyy9biFZhS4SsQRNJ9s5sSujArfj3TdgMM8taRFg46ZKNm6aHdd4UkkhAK/1ncIoXSi/3JG7Eo9+5tbTXFFU6kGn1xAKpKg73UXAn+EmyB8hUDoPo1lHQbGbcyc6aDzXPSr0VFqVM1oLex4ZrYZlHHyjnkg4zpF9jZw93s6i5cUThnzSaYV9O8/RWp8R2bG7LGzcVvMHoZx3LaLKWkCBYbzHbCooqoqKOlqRMxGE8/+7ZLuqqtQFuggmo+hEGZfOQn98vJGrqip2TWZi7Y15CSWjE5JfFps84xITYYQYR2NCJ8qASmiC3IwrjYxXwcJHblzPtupyfrbvOLvrWglEY3+0q0+9RibHbmHH0kq2VZdT7nGiv2giERExSDZMsguDbGeh7aZpww06rYzHaaaxfYCKoizsFgPJZJq6lj6K85wM+yPIV7BE9lIIQoY3pDLHzRfv2c6hpg5+tPsoZ7r6/2jLYAUBTDotZVlO7l61iLXlhRQ6baPaCnNBMpHm5NlOXA4Td9+2HLNJN2FSKmRoty1mPeFIgkh0RLsh2UCZ4/Po5Czmmpo+JyNBa9Dwvq88iM1tYedje3nicDPn05okSWTBilIe+OStrL5xyWXza/f1+RkcDI1qcguCQFVVLtpJwhglJg9fWfqOcb9fjRJIgKxcG3aniYA3zKnDLYSDMRYuK8R6ib6BIAhULSng5aeP0dU+RMAXQRCgvCoXcYKXaunqUjZtr+Hlp4/hHQzx3X95lg999nYWrRgrgZ1MpnnjxVP8/L9eI5VKI2sk7nrbOrJy7Vfysv+oUWicvSqdW2fBqjHiTYRoDw+Qf5GRoaoqDcFuIuk4dq2JbP34UENfzEdSTZNMp3nfgW9P+vaeTyaMphMklBSqqo775txa65h8h4shXmTE/D7d/VpZZmlRDjX5N3Oqs5dfHTzNrtoWfJGrb7hcCQhAjt3C+vIiNlYWs3FBETbDhdDOxZBFHYWmleQblyILugn3uRRWs55lVfnUtw5wyyYozHGQm2Xjn/7rJQpzHRw528777tt4Ra5tKghChvVya005GxYU8/q5Zp4+do59je2/NzbL+YYoCCzIcbG2rJAt1WUsK8pFf5FQ3OUgrSgMDYcpL83CNk24WBAy86+qqqOeZqOmnKHIS1j1qxBHSJR0ch6SaJxxH+ZkJAiCgCPbxru+cB+3vWcLHfW9ePv8aHQyuaVZ5JVnY3dbL/sGHT/ezo/+7020WomhoRAmsw6H3cSnP3P7pEZCf8zP7sFL4jUILHeUUmaeHS//XCCKIuVVubQ29NHROoiqqhSVZmGyjH/ACxblI4kikVCcaDiByWIgp8Axbj9BEDCadTz0gS001/fSXNdDU20P//LXv2TpmlIWLS/GaNYxPBDk+MFmzhxrIxKKI4gCm7bXcPM9Ky8nLPZHjJlNiroJ4vxTQRAEKi35LHeUsav/ND9oeglRECg0ZnJN2iID/E/Ty4DKckcpC61jdVAUVSWWHpGsFkRyDc5R5tCpMFE+wvnfJeHKsDDOJ85Tta8ozmNhnod3Dvp47kQtu2pb6PIG/uBWoEatBrfFREW2ixsXVbC8OJdsqxmdRp52bIykhgkk+/Aluoimfax0PoA4BfuiTivzF2/dNKoXYzRoefTe9Xzn52/Q0eNl29pKbtlYPa/XNxsIgjAaXtq4oJhz3f08c6yWA80dDATCf1D8CoIgYNXryLKaWFqYw42LKqjKy8JlMmZUXOdxsBWETJljPJ5CUdRxsvcXIxpL4vNFMBq0GPSZRUFKCRBOHCQYP8r57IIC2/swaRfOuA+XRRygM2gpWJBLwYKZ8xjMBgcPNnHLjiWsXl3KE788yK23LeOll05NeUxKTY+UeWUG28F4gNpAJ5WWmdeFXg4EAcqrc3n1meOoioosi5RUZKPVjb/VWTk2nFkWBnozeR0Olwm3Z3LjKrfQyV9++R6+/2/PcfpIK4N9AXY+c4Kdz5wYt69GI7FhWzXv/9QO7M4rX9nxh4Z4OjWLlfPsP3qLxsBfVNyCLxHmlK+Vzx7/MVkj4a7BeABFVVnnquKDFTvQS2Pji6IgoBv5zaYx8W8r3oNFnj7p1CzrJy1J/kOCIAgYtRoW5mWxMC+Lhzet4HBLF7vrWznQ2EF/IHRNJjmKQkazY0GOi+XFeawozqMm30OeYzyPxXRIKjGGE+2klQQgjOQkTG4kCIJA1iW6DVUl2Xz10/cQi6cwG3Xjwpi/DwiCgM2oZ31FEWvLCmkd9HKwuYPdda0cae0iGEtcc1Tv52nSrQYdC/OyRlQpc1iUn43dOPE3N1+QZYnSYjdNrQO0tA1SfklS+3moqkpL2wC1Db1ke6y4R8LXJY5PXX4fLvsMVxACAm63BY1GIpVKY7XoCfijxKJJzJPkOuQZnDxcsnXkL5WUqvBM1yH6Yj4Wc8E1v7hgcrXDmSLXbpmQJnfximLWXFeJqqro9BoWrSye4GgwGHVsu30ZTbUZpsXiCg/ubOuk7QmCQPnCXD73b2/j5aeOsmfnWfq6vAQDUZS0ikYrYbObyCt2cdNbVrBxW82UyYpGk46la0rxDoYwW/WYZyD5bLEaWLVpAalkGrvTPGOK6MlgN+rZsKCISHzuq0RRgDzHhft2ftU91UQymAhkeDSuIHINTm7wLKIl3Ee+wYlTa0ESRDa5q1nlLGelsxyjNL5KR0TAo7cjCxKBVISUksZ+Wboj19agO1t4rGZuXVrJtppyQrE4pzv72NfYzrmufnr9QQaDYeJX2XUtiyI2ox6HyYDbYqQyx82K4jyq87KxGfUjqpNzX1UaJBuJdIgyyyYGYo1zDpdqNTLaa5RJVRQFyjxOSrIc3LWimuFwlGNt3eytb6NlwEuvP4g3HL3qQkxaWcJhMuAwGsixmanJz2Z5SR4LPC6MOi0GrTwphfp8Q6eV2bZ5IWfquvne/+3iPW/fSF6OfTR5P5VW8AdjNDT18T8/3c2wL8ztNy8lO2vyeWS2uOJvT8YqjKGqM5kEBATBOCpqUl7hobfHx+JFBSQSaX7y0z0MDgaRNZM/IAWV5EWDv0omXqu5xBX78Vs2TdLXOKo6E8YwAUEwIFzC4igIApWLC/jKf75z2jMYjFre84mbZ9DW2PM7XGYeePR6tt+5nO6OIfzDEdJpBZ1exuG2kF/swmSe3sLNK3Lxqa/cN6v2Sytz+NI3H57VMVNhYZ6Hf3/HHfN2PgEBo5yZeH3JEAklNboqP4+UkqY+0EU0nbiimSpHh5v43+ZXKTF7+PKSt8+4bFAQBBZa87FqDHgTYd4cOEuxKWscF8PVhCgIo6vhaPrqM+qdZ23Ua2S2VJdxw8JSQrEEnV4/3d4Azf3DNPQN0TIwTI8vSCyZGpWBVkdkg1UmZisVLmrjfDmiIAiIQua6pRGDIMduIc9uochlpzTLSZbVhMdiJstqQj+DEMJsoJcsVFq3kVaTlJrXX3OUzPMJURAw6rQYdVoKnDZuX5aRGe8c9tPlDdDUP0xD7yDtQz76/CFS6fRFUtCZZ6qqExOGCyP/OJ8gnMnBEUZF2WRRxG0xkWM3k2+3UpLlpNBlw2M1kWUx4baYrqgmynQQRYHNGyo5fa6bF3eeoa1jiMJ8J9FYgp4+P//wtWfx+SO0tA0SjiRYtqiAO3csnTGv0ExwFUzMNGH/l4lHfz3tnoJgxOp6DFmTiZ2tX1+ORiOj0Ujc/8Ba9u1tYNu2GqxTJHA0BXv5v5ZXL7SuKuglDe8vn8lknCIS/Cqx8I+m3VMU7JgdX0eju34G550Y4UAUo2Vu7ipBEHB5rLg8E1uMiVSacDSO3Wy4JtzNqqoSCESJRsZPMLJGwuWaXtlyJpBFiTJzDm8OnOW0r526YBernRVj+nHG384LPUcz1QdX0EzYP1hHMBXFqbUgCxIKKtIM21toLWCNawEv9hzjyc595Buc3OBZPI77I6Wk6Yl5kRDIM7quxGUAYJB0mEc4E84G2okrSfSTJENeDQiCgMWgo9rgYWFuFlury0mrCoqikkin6Q+EGAyEGQxF8IajBMIx9r5xDk+xC5vbRFrJcF5qRAlZEkcFskx6DTaDHsuIDLHdaCDbZsao1SCKwqixdH6ymQ262wYZHgiyaFXJtMcGU/2c8b+IJMhoBANLHXcizVK9bzKkUwpeX5hU8hLviwAmkw7LBPlTVxOiKOAemaCXFeWOSHpnDIJoIkmfP8hAMMxQKII/EiMUSxCOJ4in0qPy0Bm2wYwsuEYS0coyFr0Wq0GP1ZCRD3eZjWRZTOg08sgzHaGv59oK0VnMej7y3q3kZtt4+bWzHD3ZhqpCIBjjzX0NQKb88c4dS3nH/etwz3N4eUZGgqIo+HxRVFXFajXQ2+PD549QVubBaNROf0PVBKjTZymrCFzsGn3l5TO0tAxQVOyirMzDtu01GAxapooR5xudvLt0++jfkiDg1Flm7q6dcV91qFMo4qmqSjgQJZlIYTTrQRCIhmKoqorJakBJK7z4i31suWc1NqeJRCxDt5xOKphsBpKJFAaTjmg4jlYnI8/CZaiqKofq2nnlWCOffXArumvA3RiPp/jvH7zOmdOd47YVFrr4uy/dM2VSzkwhIrDaWcGz3YcZjAf499rfcnveahZY8kgqaU75W3m97zQaQUIvaq5oyKHCkotO1LB/sI5PHfshpotKcjWihEtrZaWznA3uKuwa05jvSETgHSVb6AgPci7Qwb/X/Y43+s+wyF6MTWMgnk7RH/dRH+imOzrMPYXruc84Wfb65d9Xq8bAYlsxJ7wtHPe28PXa37IpqxqrbCSUjhFIRFjhLCPPMDuFufnAeQ+AiARShv7ZotdR7rlgNIVDMU59cx8P33o9KzZWXPVJQFVVdv72KD2dXqpXFE/7rqeVJDZNLoFkDwrz+452dA7xn99+hcHBsdTJoiBw846lvPXBdfPa3uXgfCnl+YWxXiPjMBmYedrdHwfMJh1vv28tWzZV0dI+SEvbIKFwDK1GJi/HzoJyD8UFrgn5Ey4XM5o9Ghv6eOKJg+j1GkpLs+jp8aMoCqdOdvDQ2zfMe6fOY/v2RbS1D9HVOcyB/U20tPSTTKb5wt/dg90+cQmHSdZTab06SYpTIRyI8uyP3sRkNaDVa7A5zZzcW4/VaaZ4YS6efCfH36zF6jCx/pYl7Hn2OLFIHIvDxNINC9j1u6Pc84FtvPDTPWy9bw2OWcaYdp9ppWvQf80keEXCcfbsrsfvG6//LonivCUrCYLAMkcpD5ds4b+bXqI13M93Gp4bo7dQZcnnkwvv4mvnnqI51Dsv7V4MdcS1XWLyUGh00xjqoSHYPeG+L/YcZZmjhM8teuuYCVYQBMpM2Xx+8Vv5fuMLHBis45W+E7zSNz5J1SzrMU+Z2Hj591YURO4t3MAZfzvHvM08232YZ7sPj95XnaTln5c9MqGRMN2zvVRYaq77XLrvxfv1tg/R1To04Tkm2n+6Psx0//P7REJx6k52jub9XHrspec2a9yIcYlEOkqeefE4qeiJ+j/V7xdvb2kZ4OSJdpKXeBIEAbwj5G9/Kjh/v64lz8FkkGWJwnwHhfkONm9YMG77xM9bgZHwynTvxqTtzmSns2e72X7jIqqqcvnZT/dy3/1rsFj0fO+7O0cknGfc3qzg80fo7Bymq3OYwaEgHo+NwiInugkqBa41DHR5qT/RxoKlRZgxoigqC1eXkVfipuVsF2u2LaKgPJtt960Z5UWoWVPGgmXFqKpKdqGLo6+fw5ljw+62TNNaBrFEkqFABH84xsHadvRaDefa+9FpMgOMTiNTnjueFCidVhgMhAlEYqTSCrIkYtLrcFoMMyrXmgnq63sIBacWAJovSILI3QXrqLYWsKv/DI2hbqKpBHatmVXOcjZlVZOrz6goakUZmzze4JRFiWKTh7SqjFQlzPwepNQ0T7Tv4dcd+5AEkfsLN1Fi9qAZybVRgUgqRmOohz0D5zjubeGX7bv5eOUdY/IOBEGg2JjF52oeoC7Yxf7BOlrDfQSTUTSiTJbORrW1gDKLE7fOSCgVxCSZCaWDBBJ+PHozVZZ8jLLAYLyfbH02oiDiSwwDYNc60Ykays25OLUWbNN427J0Vj6/+H529h7lrL+XwXgAURBxaE2UmXMomUA7AiAeTXJ8XyN7XjpNW0OG4MvlsbL+xhq23L4MnWGkXCuV5tyxNnb+9hhN57qRZZGla8vZdvdKCssusF2eOtTCY//5Ku/+1A5qT3Sw9+UzhPwR8ord3Pa2dSxeXYqskVBVlf2vnuX1Z07QfK6bZCLFN//21+hHknllWeIffvhe7COZ4MlEmiNv1rH/1bO0NfaRTKRx59i47pbFbLp5MQaTbsy3EIskOLa3kb0vnaa9qQ9GQoAbb1rM5tuWotNr6O/28cQPXqfpTDctdT3IGomP3PWN0XPc++hmbrp31bh7pqhpdKKZXEPNhB7L5x47wO4XTvEXn7uTkqoLpd2t9b38x9/+mrse3si2t6wcf15F5dzprnEGwp8qnt17lmAkzkM3jb9XM4GqqsQSKXQaabT89EpitmNxm+/fKbb/1ejwNRx9Da2UhUU3czXQGc22WVkWjh5ppb1tiHg8yYkT7VjMejQa6YrW3z/33HHe2FXHqtWl7NixjJrqPLQ6+Zoo5ZkOngInVcuLMVoNlFTlkUqmiEcTiCPCWIIgYLIaeO4nu9lyz2oEUUAzUikgCAI1q0v55bdf5t6/2DbjF+NAbTvfeXovPUMBQrFMUt4HvvGr0emtJMfJY3/zjlFXp6pCJJ7g8V3H2Xm8kY4BX+aF18pk28184LYN3LiiYtL2ZgpVVTl+vH2UEOtqQBZEamz51NjyyDjvxdGVnYqCSoqPVt6a2SaAqp4fNDMfuk2j53M193Ne//DCtSiAOppcOxFqA538qGUnIPBPyx5hhaNswhI4RVX5bsNz/LztDc75Owgmo+MmakHICCetdlaM5laoqoIyEpwTEGkM1TIQ76E2eIKbsu9gz+Br2DVONns8fKzyNnYNvExLuA5vcgCX1s2ZwAkERBZaF5NvKOTfVrxn5LwqiqqM5moICCNkTRn1SQEBq6xjS/ZCHirOhPSUEbrg8/unR+6jOHK/47Ekv/6fXfzqf96goDSL6hVFCIJAd9sQDac62Xrn8sx5FIUDr57lu//wOzx5DlZvriIRT7Hn5dMc3dvAX/7j/ZRUZfRKYuE4Ted6+P4/Po2iqCxbX04ilmT/znN87a9/yee/9TBVSwsBMFsNLFtXhtGso6d9iHXbazIGByCI4qjBABDyR3jsuzux2I0sW1eOJEucPtTMt7/4JJFgjLveeSHZOR5N8MR/vc5v/m83RRUeFi4vRhCgq3WIxjOdbLljWeY91EiUVubg8lgZ6vfjcFu48Z5Vo2NYec3UXk9BEOiIHKfAtALpIhZ9/3CYrtZB4pdUBSXiKTqbBwj6x3vsIGOInTjZPmWbf0rwh6L4Q3NfvCRTCs/sPsNNa6uw/55zOSDzDacVlczrlSKe6kFVM/L0KmkiiQYk3ez6OSMjYe26ciRZJJ1S2H7jIg7sb+Ts2S7uuHPFHC5j5njkkeu45ZalNDX28eYbtTz+2D6sNiOf+MTNv/fkmulgtOi589EtpJJpNDp5lAlLlETyyjwIosB9H9pOMpHGaNZzw1tWIY+s+GOROB1NfRRWZM/YiwCwsqKAf3vfHSTTaT7y7SfJtpv527ffOJqToJHFMQZWNJHkm0/t5un9Z1lWlsuH79yI22piOBjlbHsvhe75obEOhWI01PVcNVlgVU3TGXqOgeheVDWNRVtGue3diOgIJhpoDTxOQvGhl7Iot70LgyaH7vBLBBJ1LLB/gGCigbbgk1Q7P8ZQ9DChZAsL7B9AVaEj+BQJxUeF/dFJ2z8y3EQkFafSms8ye8mkNfICkDPink+rCqkpclwuRle0g9rgGcKpEDty7qLcXIUv6WVwqJ9g0o+IxCrHel7tf46eaBcOjZOFlsWc8B8hpSQpNJQgChJD8X7y9YWj540pUV7rfxGdqCOlptjm2cEr/c9hkiwYJSPL7Ks54T9COBUiV59PKBXksHcfHdFWNrq2IAsy9aFzJJUEG1ybcWhcnD7UzNM/3cfmW5fyzr+8BetImDCVTIPAaAntcH+Qn337FYoX5PCX/3w/DrcFVVHZ/pYV/PMnf87j33+NT/zjfRhGhN2S8SSppMJnvvogOYVOVBXWbq3m7z7wvxx6vZaqpYWIosjSdeUsXVfOG8+d5JUnj7Bua/WkOQl2l5m//8GjaHVyhtdEEBjuD/CF9/2QXc+dHDUSVFXl+L4mnn1sP9vuWs7DH78Zy0gYIZVMZ5LmRsjeXB4rt799A32dXva8dJq8Eje3PbR+2uxzUZAwSg5UFCShkfkqY+3p8dHVOV4r5FqGqqp4AxFaeoZJJNPYLQYqCtxo5ExpfEPnIN5ghCy7mZJcJ7Ik0tI9jFYj0e/NVEOU5rpw2zMG+HAgQlPXIDqthnhieo+Koqh0D/rpGshQo+e6rOR7bATDcY43dPH8vnMY9BrsFgOVhVl4HBaSqTRNXYMMByK4rCZK81xoNRJtvcOIgsBwIEIskaKiwI3LNn+aJS3tg3zje6/w6MMrseQ8QSB+hNrBvxzZKmDQFGHUjg9VTIVpjYREIsWZ052ZWluNSmvLADk5NrKzbcRiV7YUqrNzmFOnOujq8hKJJPBk27BY9FfFrXO5EAQBg2lipUpZzhgDeqMO/Yin+7zLFRjhV9Cy4dZlaGeRiGIx6rAYdcSTKWRJRK/VUOixTygwoqoqJ5u7eelIHWsXFvK3D23HZb2QPKeoS+Yly1dVVXp7/fT0+C7rPLNBUgnTE36Jctu7MGoKUdRERv1MTdDs/wlOwyo8huvoCD5Je+i3LLC/D4/xOgYie+kJv8RAdD+F5regk1xYtZV0hp4lqQQRBZnB2EFKrA9O2f75PJCkkiKlKsgTlK+pqkpcSXLM2wSAQ2vBrJle5yRzXAKDZKQ5VE9STaIqKid9R1hqyxjt4x+ZcFG0JON/GJsifOHcKTXJjVkZ74Mv6UNRFRbbluPUZpIAK8xVnPFn8iLMsoVycyUW2UqBoYhdA68QSYVIqSmG4oPYJScn9jeRTKa4652bxlTiaC5hTG1v6qetoY+3vOs63NkjxqkEJZU5LFtfzuvPHCfkj44aCaIksnpzJbnFrtHxYMHiAowmHQM9vvPOj1lBlESsDiPJRIp4LImiqIiiSG6Ri87mgVHGO0VRObG/EUVRueuRTTizLhjyl17XXJFSEgwnWgEoMGa8EhNRbs8Gqqpy+lQnyeSV5QeZb6TSCt/59W4Mei0mvZZIPMkH79mIKAg8t+8ce0+1UJjtoKV7iB3rq9m+egGPv3qMzn4fC4uzCUZixJMpPvngDeg0Mt984k1EQcBhMXC6uZel05AB9g4H+PfHd1Ge7yKdVnBYjTy4fQXhWILOfh/DwQjdAwFCkTgFWTZSaYVn9pzhwJk2inIcdPT5WFtTzF3XL+KZ3WeobeunuiSbQX+Ylw8JfOz+67GZ52fR6/VGqG3oJRqRWeb8LKJPT4H1fUDmq5dE07iy/ekwIyPh8OEW4vEUdXU9FOQ7sFgN9HT7cLrM1NTkz+1qZoDubh8ajcyWLdUUF7sxGLSZMqQ/gHDD5cBg0rNwZckVbUNRVU409xBPprhjXc0YAwGYNUPcVGhrG2JgIDj9jvMEjWjGbVhPs/9nuAwryTFuA0QUEvgT5zBq8umLvE5SCRJKtqKoSWTBTIntbZwY+CIew3W4DJk4sUlThFlTzEB0D1ZtFWkljllTNmX7i21FaESZjsggP27ZyY7clWTr7WhEiaSSxp+M0B4Z4IXuo+wZOIdWlLkldwXaGXy8KTVFS7gei2xDLxlIKyl2D+8kpaYJpoK4dZ7Ms/UdxiiZyDXk0xiqozZwBqfWhVuXTV3gDCoqlZbxNL2xdIyzgVNE01HMkhlJkNCKGQM2raRoDTfRF+uhJ9aFJEjsGXydautioukIefoC/CkfJslEnqEQVVXp6RhGb9COkz+/FH2dw6iqSn6Je8zvgiBQUJpFOBjDOxga1SCRZQlPvmPMguH8Cj6dnltYKx5Lsv/Vs+x9+QztTX2kEpl6fG9/AGe2dTTxS1EUejqGMRi14/o7X1BRiKb9CEhE0wH8yR5KzRswyXOvHkmlFE6f7iSVurrkRJdCVVXOefsxa3UUmmxE0ylODHazxJVDrXcAm07P6aFeSq1OlrpySSTT9A4H2bG+ms3LyzDptUiSSN9wkN/tPs3n3nkTxbkO9p1q5bFXjrF1ZQWJZIpFpTm87671xJMpPvOdp+kfDjHgCxGOxvnK+29DlkW+/ovXp3XSBMNxQpE4a6qLWFSag1YjI4kCeW4rN62t4s3jTbxl82KyHGYEwBeM8vSbZ/ibd91IWb6Lho4BvvaL19m2qoKUolCS6+S9d60HFT7znac519rH+sUl83JvI9EEqnI+GVMm3/JOZPECP0tKCSGo4vxqN5jNet7/ga20tw/x+mvneOuDa9HpNAwNhXj8sQNXNHFx3bpyjh1tpba2mzNnOgEBrVbi1luXjZRC/hlzhaqq9PmCyLJEvuvydTYmg6KonD7ZjqJcvSoLQRApsb4Vt2EdveGdnB3+Gsuyvkwmgq9FEvTIogGbrgqPcROioAFUoqleNKKVuOIlrcQQJS2CIJFj2k578EliqQHsusVoxKnrkJc6StiRu5IXe47y89ZdvNp3AqtsRBJE0ihEUwm8iRD+ZAS71sRd+WvZlFU9o2cgCzKrHRuJpiMUGUsxyiaW2lahoiILErIos8G1mWDKj1PrRifqWefaRDwdx6XLQhJENELGs+TUuse1aZLNuLRuCg3F6CUD65zXYZCMo/e10FhMjj4Pk2xCI2i5zr0VWZDRiXqqrIsYTgySVtNoRQ0oGWNTVacXj5JGvGvpCSawdFpBAMSLywZHxGzGYY6vsaqqvPjEQX76rVdYc0MVj35qB3a3BUVR+fG/v0hf9wUXvUCGJ0FVpq9wmCviShhZ0JFnXExjcDdFplXoxAtu6YkuU1VV0mllwnsIMDwcoq316sqBT4bOsJ+G7iE+tGg97UEvL7TXs8Dm5mf1x6i0u6m0Z10QKdJrePTOdbx0oI49J5u5fnk5N6+tIhpP0jMU4D9/sxuNLBGJJYjGEyRSaWRJoiDbjlYjk1ZUtLJEKq0w5A/jtBoxjHhoc1xWQtH4lH0tyXNy35al/O7N0zyz+wx337CEZRV5GU6FjLt1hHwr81TiyQzlu82sRxJFnFYjGknEG4wiCiJZDiM6jYyiKDitBgLh2Oi1XqrwOJFDbConWSAYHRPW7Q7+FKtuBTb9OhLpfroDPyXbfA9m3aIZPKUMZux3EATo6hqmqakfu91IY0MfoctI+JgJdu2q5YXnT7BgQQ5nz3WRn+cAYMeOpZMeE0xG6Yl5qTDnEErFeKX3BFk6KxvcC8cR0fypQ0CAGQzgl4NUKs2JE1c3USqZDhJMNqOXXLj0KxmKHUJVU8iiCadhBQgiDt0ykkoQSTCMrNZ66Aj+loXOj9Edfpnu8IsUWe7PcLZrF4Capif8CkvcnwemDnfpRA0fqbyNRbYiXu8/RXOoj8ZQDykljUaUsGiMFBhd3Ghdxg2exSyzl07rubl4MrJrHdhxjP6dZxgrEGXV2LBqbKPHOTQuBO2F83v0EwudaUQNleYa8gyFSCOJmQ7tBa4BURDJ0Y/1HBrlsfHUHP2FRDxFVcgrcXHojTraGvqoXFIwqSFUUOpGkkRa63tZuq5sTFlia10vFrtxVE59Ljjf7GTGajKR4vVnjuPJs/O+v759tOIhGkmMIx0SRIHcYhcnDjbR1thHRU3+9AbeSMRHVc//Y7rdRSJpH8PxdhQ1hUNbiHSRp0mSRVKpNKlkekwYYrDHP6GUsKqqDPQH6OgYnrbtKw1BEFjuzuOljgbCyQSHBzpZm12IQdaQUhRuKlxAudU1uq+qqqysLGDFggLq2vv5xmO7KM93YzXpyHVaeXjHarJG4vqSJI5UZHEJdXLm/tjMmUk5mUojiSKD/hC6aUJEWlniprVVbFlZwcGz7fz37/bzpfftIMtuHhlDVbhIeVE70n4klkRVVUKROPFkGptZj6Iq+IJR0ukMmZc/HMNkyITQ/IEo3/vfXZlk4YtfkfOxwUtjhBf/Tua/O7q9pC7ypOVY3kp34CcMRl5GJYnHdA8mbdUsntYsjITcXDtbt9bw/HMniYTjZHmsPPDA2ita3dDU1MeDb1vPggU5PPbYfh54YC2PP76fRCKNcRJvSVu4n72DtZSYPPy6Yy/9MT9n/O0YZT2rnOVXrrPXEC7kFaiTutJEQaTIYyeZSlPfNUhN0eVrWUyE1tZBBq9iqAEyrtqh2GFCiSYkwUCp9R3IogUBiXLbu+gMPk2t9z/RiGbyzbdjQmEgspdc0zbsuqUY5Fya/T8hmurBqMlDEgxYtZUklAAW7fREPIIgYJL13Jq3ihs8iwin4ySVFP5AFAFw2syQhN72IIttBTPigU+lFX7z2yNUV+WyZNHkk+3FUBSVnj4feTn2Gd03jahlgWX+aGoEUWDVdVW8/OsjPP6913jnJ24mKy/Tl1gkQSKexJNnR5Il8kuzWLq+nJ2/Pcri1SUUlntQ0iqnD7dw8kATG29ajNk2cxfppbA6MuG0htOdLFpVjCxLpJJp9AYtgjhSJyJmkrOj4Th2l5lYJMGRN+poONOF03Mh70AUBVZvruK13x3jl997jYc/fjPuHNvIdcVJJFJ4cu2j3hEAnV6DYSRfoq/bhyfXTiqVRpLECfMYrBoPlZYthFPDLLHfMY4nIbfIRTQc58T+JkoWZKPRyQwPBHnxiYOTjsnnznZPyHj6+4Bbb2KhPYs3epqp9w3yl0uvAzLGnE07liW2bzjIU7tO4bKZiMSTmIxa7GY9LpuJbasX8MyeMyws8hCNJ3HaTNy2YXK1yxWV+Ty79yz/+evdOKxGmruGqC6dWh34VFMPu080k+200O8Nkee2jeZ5GfUaCjwOHnvlGMU5DlYtLCTbaWH76kr+95kD1JTmcLa1l01LS7EY9QgIHK3r5GcvHsEfjqLXaqgq9iAIAtFYkhd2np7XBO9MNZZASgmMeMBkVJRZOdxmbCRIksiq1aW43RaCoRi5uTay5lFEYiIYDVrSKQVZFknEUyQTKULB+JQ1vrF0Er2koT/mpz7Qzf+rvocjw420hwf+ZIwEWRQx6DT0+UJE48mLGBfVEXa6DEPdsrI8rCY9T+45zYryPArd9lHrNKUomQTKy+BJUFWVM6c7J1zZXEloJRsL7O+dcJte9lDhGL+t2Hr/6H8b5BwWuT49qsuukCKeHibPdPOUHPqqqlJb30tr+yAGnYZlS4s4fLQFgOVLizi+qxFVVblxaw3D3jChYBxUlfqGXppbBygpdhOJJOjr92O1GqmqyObI8Tb0eg3r15RTXuqZcAA5eLiZeDyFy2lGq5Opb+ilsMCJLIs8+8JJrt9YyYKKbI6fbEeWRNasKr0q4TpBEKhaVsj977+Bn37zZf7x4z+lYKT80O8NY3dZ+MQ/3IvVYcJqN/LIx2/mG5//Ff/6qceoqMkjlUxTe7KD3EIn9793M7rLYJMrW5hLxaJ8fvuj3bSc60ar16AoKh/90t0YzXq0Opnrdizhh199nm998Unyi934vWEGenwsXVtG50VuekEQqFlZwr2Pbubn33mFtoZ+8kszuQn+4TDuHCsf+/t7sVxk1FjsRlZdX8lj33uNb/zNE2QXOEkl02y9awVrt4w3zERBxqkrwqkrmvB6lq4vp7w6j9/88A0aTnVgMOvpahnA5jSPekEuhqrC8WNtc75/8w1RENiaX84/HNnJ9bkl2HUGIqlMOeelw43dYmBxeS4DvhBZRjMfu/96sp0WBEHggW3LOdHQReeAH49Rz8KSbABuWbdwtJpBI0s8sG0ZuW4rVpOeTz64meP1XRj1WtbWFI1ZeU+EAo+dioIsQrE4CwqzWFGZj3kkgdao1/H+t6znWH0XqXQajSxl2tu+nOP1XXQPBrhtQw1LK/KQJRFJFNi4tJR8jw1n3Mh9W5fjvqS6YUl1PmtXlc7pvtY19rL3YNPo332hJ7DoFlPs+CTRZAs9wZ8jCaYrE24IBmP85Ee7CUfiGI06hodDLF9exJ13zY2EYiZYvaYM73AYg0GLzWbgq197HrfLjMEw+WDh1JlpDfXz8+guFtmKcGrNhFNxtOL8ZB3/IUAQYMvScn78yhG+8OMXWFGRTzqtYtBpeGT7ypF9BBaX5PDI9pX84PmDfOibv2FtVREOiwF/OEZtRz8PXL+UezYtnnM/4vEU5852/d4TpS4HgUQtfZFdxNPDlBqmp6vt7vbidprxB6L09PrIzrLS2NJPX3+AgnwHdqsBt8uMRpaoa+jBH4hSW9/DujXlvLzzDDqtzOKafOob+8jPtZPtsVLf2Edfv3/SNk+f7eKOW5dhsxoYHArhdJg4W9vNDddVUVTgZMmifE6f62ZwKIRep6GpZYDFVzDh+GJotDJ3vH0DNSuLObDzHF2tg4iSSEFZFmu2VGMaKWU+b1B8+fvvZveLp2k804VOr+HtH97O+u012JwXBlKH28KaG6pGkxjPQ5JFVl1XScmCnHFBW7PNwGe++jZee/o4rQ29KIpKXrFrTF7DjreuxeWxcuiNOoL+KCWVObzzkzcz0OPn4GvnxhjLWp3MXY9sZPHqEg68do7utiEkSaSw3MO6rdUZKvaL+yaJmcqNHBsn9jcRiyZwuC043HMLoVjtRj7ztbex69mTNJ3tQpYz569eUcRzv9hPTuFYHQ+vN0xjU9+c2rpSyDFasGi0rPZkwmWSILLUlYv2krCwXqvhumUTJwtrZInV1UWsvsR5sGrhhdJeWRLHHJ+fZSc/yz7jfjqtRm5eN7GLXhAyeQ23bhi7YNZpZNYtGq/+qwJmg5btqysnbW/V8mIefmBu1Niv7DrHgSMto38X2D6AJJgQBBGTZiGljs8gzFIDZMYz59BgEEmW+MQnb0GrlRkYCPI//72LO+5cecVCDjU1eSMfpsB9969hzdoysrNtmCYpLQQoNLrZkbeKvpiX67JqAMjSWykwXpks5CuJi5XNZltt8NCW5YiCwM7jjTz++gnMBi3rq8e+tLIk8sDmZRS47bxwpI7jzV1E40msRj2VBVlUFU6dkT4dfL4wLS3XRqLUXKERLdh1i8mSbkVWHAjy1M9Bq5Wx2QzEYkkamvpBVUnEUyiKgk6nGc3/UFSVdEoZ8YpdOKfBoMVqNSBKAmfOdSOKArFYglQqTSKZyng2RkrxzkOWRZwOE6m0wuGjrVgsemLRxAjZ2ch+qoqiKBQXuSgsuLr6CrJGonJJIZVLCqfcTxAEsguc3PfezVPut2BJAZ/61/FlqDq9hk/+4/0THJE5d26Ri7d/ZPuE2wH0Bi3X37qU628dm/NUWOZh5abxteUarUzVsiKqlk282p/o/NvvXsX2u8czLM4WgiDgyXPwwPtvGLftvZ+5fdxv9XU9hMNTJ+hdLaiqSjAZp9Y7QLbRQqnFiSAI6GWZ99WsveLtB6IxfnnsNG9duRirfvqy46lwXolSnmFZvkGnmVZLx24zzrnM32QcywraF/oNeZYLisShxDm0ohOjduYkeTM2EkwmPaIo0NzUj8msp7V1AKtVT0+PD61WuiKhh4tvlM1mZMmS6WOSsXQSt87KYlsRBikjPrXRXX1FJYGvJE77urBqDJSYZ67wJwgCTouRD96+nvffum40sWmisIFOI3PD0jKuW1w6OoGd50eQLqPUVFVV+nr9dF4DiVJzhSAIGDUFGDUF7HvmCAWVGgorp2bIy82xY7XqEQUBt9tCU3M/Odk2XE4zWaLAsRPt5GTb6Or2ogI+X4SFlTkcO9HG6pUlKGkVk0lHSZEbWZZobumnuNCFLEt4fRFEAYa9YbIuItmqXJCbKf+TJQryHQx7w1SUZ2Ox6MnPc3DqTCeVFTmEw3GGvWGKi66cWuSfce0hnVY4e6aLWDQ5/c5XASpwfLCbY4PdPFy5ArPm6laqiaKATa+bFwXYpsFh+oMhNpWN9xpMhHfftnbS0gSDXsOObYtZUD4xvflMkDESMv+tqgqh+BmwqKNMs+H4WdBWYuQKGAmKqtDU1EdH+xAajUQoFEOWJf73f3aRm+fgve8bb9H+PjCcCPFE+24i6ThZOivFRg+FpizKzdlYNHNPfJoJkkoafyKKIEA4lcAoaXHoMqVviqoSSEYJJGLoJBm33owoCERSCcKpBFk6Mwoqg7EQNq0BjSDRFwvwm7ZjrHQVASpZegtGaQaqmzBqFMzEIBUEAXkeFBgvxalTnX80HPFWl4Wz+xoI+SIYLQaKq8e76wVBoGLkA/eMGM3VVWOJWnJHkghzc+ysXnkh7li5YGzylH0knn3x8UWFE0/u69dccKWuWlEyZtvG9RcGg603TJ7Q9ceGtkEvL5yq5+GNKzDppp6EhkIRjrd3s73m8inIr0WEw3Hq63uuWLnmbCEKApvzyticNzXfyHQYDkeQRJFQPIGiqmSZjeg1GlRVZSgcwaDR4I9l9GhcJiMmnZZQPM5gKMKa4gKMI8mHiqrSHwzhMBrQyTKqquKPZir3bAY9gVicQCyOoqpY9DocBj2qCv2hEM+erstwJtismLQassyZsFg4kcQbyagJu81GDJpMW1MxbdqsBv7fR2++LLLA3BwbD9y1imyPTPPwPxCIH6J24BOj2yXRjMt046zOOWMjwek08+EPjz25LIvk5TsmOeL3gyKjm09X30NnZIh9Q3XsGjhDU0sPHyi/hVvzLt/NNxX6ogG+fOIZsvRmNKLEYCzEJ2q2s8DioT08zHfrXkcjSgSTcR4oXsUmTzlt4WG+V7eLzyy6hVAqzndqX+Ozi3dg1xl5qfssR4ba8CejnPP38pbCZVRZsydsO5VMc+DVM5QuzCW32E3IH8U/FCK/NGske/vqQlXh2NHWq97ulYLNbaG/fZDeln7sWdYJjYQ/48ojrSjsb+wgmkxSk+ehrneAcDzJiuI8hkMRmvqHsBr0bK0uQy9nkhMHgmGOtnZhM+jxWE009A0hCgLrygs53taDLxIlmrw2VtlXAoFAlIb6+Vc7/X1CVVW+/cZ+vOEoJp2W3kCQ1UUFvHv9SnSyxP/38pvYjQbiqSSRRIq3LK3muvJiOrwBnjh2ilfrmnjy/e/AaTKSSqf56itvcuuiKrZVlqGoKt/atZ/qnCzuXlrDTw4eo23YTyyZJJFO8/d33IhNr+OFsw280dCCQathKByhJsfDvcsWEYzH+fqruwnGE6QUhYosF+/buBrzNMaqIAijbLxzhcdt4X2PXJ+5R3wWdThNoe2DI1tFNJIdgdl5bmZsJHiHw/zi5/uATDmWdzhEfoGTv/yrHdeUzGZjqIdv1z+LLErUWAu5r3ADBQY3bt3MNRAuB/2xIB9duJUFVg//17iXg4OtLLB4+E3bUWpseTxQsor6QB//27iXxY48Flpz2JJdyY+a9hFMxbircBl5RjsAD5et47S3m/tKVrLGVYwoiJPea0kSURWV4f7AiJEQQRAzAjuxSByb08xAjxejWY93MIjFZsTmMl+xZ9fb66Or8w8n1KCqKrFwnGgohiPbhqqoo0JcAM4cOzaXBVeeA51x8pyYK9GvdFohGk0QCSeIRhMkk+kMac5IrbUkCplSOo2MwaDBYNRiNOqQ5cnflz9UtAx4OdfdT77DykunG0im0txQXcbr55pJptNY9Fpi5yf8DA0IsijiNBs509lHjy+AKIrYDHpeOFmPIAiUZjlo7v/DeVdni8aGXvz+6O+7G/OOaDJFjs3CB69bSyie4DNPvcANC0pZmO0mEIuTb7fykc3rkEQRzcgKfmG2m0c3rOJMT//oebSyzJbKMt5obGVTWTGheJyWIS/vWLMMSRR4x5rlyKJISlH4yvOvcbKrlxurynnHmmX0+AMUOOw8uHIJ4kiI9tnTdQiiwN/dtg2Av37qBY51dHNdefEV/x4vPr+AliL7x9GIzstqd8ZGQnaOjc9+7k4gM3C1tw3x0oun5tzwlYJFNrDSUUZMSeJPRjjn7yShpDBp9Bi48oO7R2+hwOTAIGnw6C30x4KowFl/DzpRpjPiJaGkGIgFCSXj2LVGtuZU8VLPOYySluuzF4w+UGlESU8ShGmJoARRGCNl29k8gLc/wOpt1ex+9jgbblnKnudPYnWakGUJ/3CYWx/agOYyZbcvUNVmEupSyTR9fX52vX6OQGBmA5OqqiQSqTnT6c4GoihOOHn2tQ7wi395inAgwt/85GOcfOMc9iwrpUsySWln99XTXtvNcJ+P4R4fb/1/d16R/p1PTEzEU7S2DVJ7touGhj6Gh0N4vWH8viixWMZQSCZTqGomMVAjS+hHqoDsdiMul5nyimwqK3Mor8gepTT/fRoNqqqSSimzUgMVBGFMAmYilSIUj2Mx6HCaDfT4gmRbzSTTaSRRwGEysig/Q02tKAopJc3xth4C0RjBaBybUU+2zYxe1tDYP4THYsain9m4oKqZ93s25GOX9v9KIlOye/4dUohGk3R2DLHz1bMzPkc6rYxTlrxSkGXpst5JWRQpczuxGfToZBmbXo8/mhlzdBqJ6pwsbIaxiYmZ8VQclxawqiifXx07w3AkwsHWTkpdDgodNlSgeXCYw+1d+CIxWoa8hOKJzHOVMvLQkiigvcgDcKa3n7ZhL9/etQ9U6PYH6QuG5nSNE2E0oV09f00Xru1SaKXLzz+a8QyRTKbxesOjf0djCYaGQ1eUlnkucGrN3OBZTF/MT2/MS32wm2PtzaiqypbsmWtozxWyKI15Ac8PJ26dmRp7HuvcJQBoRRmP3pKprff3ohUlYukEDYF+FtvzRh+4IMBcGI1zi12EA1FsDjNanYYDL5+mrCafI7tqcWRZsDhMcw5DKIpKKBRjeCjE8HCI/r4AzS0DtLUM0NY2SDicIZSZaeljW9sgDz34nauSXLp+QwWf+Msd43gCXvrR62x5cCPP/3BnRkQpmqDhWMuokSCOkN501vfgOC9ANI9QVZVAIEp9fS+HDzWzd08D3uEQyWR62vuYiKdIxFOEw3GGBi8QV+189SwajYTDaWLt2nLWrC2juiYPu33+VOdmg2QyzS9+vo/fPXVkxgah3W7k0399BzWLMqyGFdluWga89PtDlGe7yHdY0UgiTrMBfyROfyBEy8AwGyqKiCaTnGzvwWEy0BcIUey2k2Oz4DAZ0EgSa0oLaB4YprZngALn9M90cCDIV778JO3tQzO+5rXryvnkX+3AeIW8T6lUGp8vgnc4zNBQiK6uYVpbB2lp6qe7x0c8lpwxT4mqwtO/O8JLL568In29FB/44DZuvW3ZnI9XVJXQSK6AoqpEU0l0cmZKy6zqZx7bd5mMVGdnsbO+mROdvdy/YhEaSWJ/Swff33OQD2xcQ57dQu8lk72AMI67xGk0YJBl7ly8EAGBu5ZUU+C4/MT+ZDJNR9cwXT0+BgaDRGNJtFoJp8NEbraNkkI3RuP8J4HOqgTyB//1+oUDZZENmxZcUwYCQFtkgF+27yZLZyNbb2eLZzEunYUc/e83d+LG3Gpe6TlHhSVTVphSFYpMTgbiIX7dfoyHy9bhT0T5RcshPr/kVkyazKDi1pk5PNSKQZIpMrtwaCdOvgwFopw72opGK+PIsnJqfxMdTX2UVOWwZF05v/vRm2y4eQnxWJLe9qEMA90URsJ5N3cymaF+DYZitLYM0NIyQEvzAAMDAXzeCF5v+LJLqxRFJRS8shTf5xGNTsw4F4smcOU6EASBRCyJr98/Rplz4doK4tEEoiyy5pbl89KX8yu/SDjO3j31vPTSaRrqewiF5qdU7XxIoqfbx2+fygz+VQvz2L59EddtrsJs1l9VsTStVub2O5Zz+FAzZ890zeiYYDDGj3+0m89/4S1YLHq0ssTty8eTD22uKuX5k/WIgoDLbKQ6z0NN/oX8nRXFE1elLCuaWgHwPKLRBI8/tp/a2p4ZGzi5eXbuvW/NZRsIGQ9MesR7lGZwIEhL6wDNTf10tA8xNBTC5w3j9UVIxC+PuCyRSJOYgXzyfOByk5pVVeXV+mZybRZ6/EEMGpl8++TGnqKq+CJR2oZ9RJNJmgeHSaTTZFvMaCWJ6ytK+PaufWSZTdTkZBKQE+kUqJmKiOOdvXT5AmMWM4UOKwfbuih22nCZTFRlu7mlegHfeeMAHT4/DoOBgVAYzyUCerO9zp4+P7/4zUGOHG+jbyAwZuEgigJOu4maqlzeevcaahbmzspAmg6zCjd8+q9vp6vLi91uxGo1XHMGAkC5OZdPL7yX1nA/3kQQs2ygwOi+KmRKZo2OrTmV6KVMJmuF1UO2wYoA3JBTiUWj5+BgC5Igsj6rDEGAzvAw23IWssZVQkJJE0rG6Y76WaDJvKSPlK3nua5T7Olvwq41TmokmCx6HvrYTUDGpZ5d6ARVRRgRIfnAF+5GlEQcHiuqomSqHyaZINJphUOHmjl5op32tiHa2wfp7wtkYuAjE9sfGzbft54nv/Ucjcda+N6nfozOqONtf/2W0e2xSBz/YJBkPElgKIhnkkqD2SCRSLNndx2/+fVh6utmPvnMFdFokuPH2jh5op1nnz3O/Q+sZdN1lWjnSd54JnC5zHzgg9v4x7//LQMDgRkdc/xYK088foB3vvs6NJPUmNsMet66NuMpnI/Stkux+806nn3m2IyfkcGg4dH33kBl1dSUv9MhGIyxZ3cdtbU9dLQP0d42RCAQQVHUP9pvcabQShIby4po9/pJptN8+sbNZJkz4+P15SUUOsYaDKl0ml2NrdT2DbCmuICX65qw6fV84Lo1yILAqqI8NpUXU+Vxj1Y+rCspJBiLs7upjTK3k4/esA7nRZoAdyzOGKz7WztYUZBHpcfF4rxsPrl1A7saWmjoH6LS48aim7uh2Nnt5Z+/8TxnarszZc55DrJcFrRaOeNJ8kdo7xrmjX0NnKnt5m/+8jbWXFLldDmY8egQjSb59a8OcfJkO3feuYLqmjze3FXHPfetnrfOzAcSSorfdOzlqLcZg6Qllk5QaHTznrIbsWjmR7N7Mti1Rt5acuF+LHdeII/RCBLrskpZlzWWbnOl60J9rU6Suad4xejfgiCQa7Tx3gXXTdu2IAhjuOKlSwbK89uEjJzelOdKpxWeffoYe/c0TNvuHwsWrCzFmWPnlndvRZREPEVubK4Lya71h5tx5znJLnaz9+kjVCwvmXNbiqLQ1eXlFz/bx+436646yY2iqNSe6+YbX3+Bw4daePvDG8jLc1yVuLkgCFRX5/G2d2zgv777KvEZrHxTKYXf/fYIS5YWsmZt2YT9PJ+7M99QVZXGhj5+/rO9M15hS5LIrbct47rrqy6rnA0yHtyf/2wvXZ3e6Xf+E4MK5FrN3LNsPMXwvcvH/6aVZe5ZVjPp+XSyzEc2rx/32+2LF3L7JMSzFr2Oh1aPD5lU53iozpk738F5JJNpnnruOLUNvVSWZ/POt21gQakHo1GLJIqkFZV4PElvf4DHnzrEvoNN/PzXBygvycLpmJ+w4oyNhP7+APF4krfcvYpoJI7FYqCpuf+ay0loDvXQGu7nC4veilVjJKYk+d+mVzg01MC2nMnVI//QEEsHOOV9noQSAUAWdaxw3I1Wmh8uiCupDHkt4vDLJyhbUkzVmoy+x7kDDQz3eilbUszpPbU0HGtBkiX6OwZRZ5F4dykUReHQwWb+63s7aW0dnK/uzwmhUIwXnj9BW+sA7/+LbSxZWnDZk9pMIMsZufdzZ7p45ZXTk4qQje1rnP/74RsUFDjJzbNftQTMaCTBj//vTdrbZp6HsGRpIQ++bcOkXo/ZQOVP21sA08lxXxnDECZOBLzaSCRSHDjSjMWs468+fBMLF+SM75dFj9tlJjfnRny+CA1N/XT1eOfNSJjxiCBJAoqiEg7FiEaTNNT3orvMzPgrgWg6iVNrxizrM1SfooZco5Ng6o+rBEhVVcKpIQbiTZzxv8jRoV+TVK9OXP+PEYeePz4m0zo4FKJhhAPd6rKweFMVWYUuRFmkfNnM2NUuhqpCLJbk2WeO86//8szv3UC4GOfOdfOPX3mKN9+oI5W6OvForVbikXdex6JZaEg0NPTys5/umZH3YT6QTKb57W+PcvAiwZzpkJVl4QN/sRWX23xNLZ7+0PHGrlp+8fN9pEaozJ968gjVcTM3V88/AVZ/f4DGxmtD5yKtqAx7I+R4bFSWT67UKwgCLoeJmoV5RGMJorH5q1CZ8Szv8VgpLHTy+mvnCIZiFOQ7ue2O5dfch5BrcNAZGeLJzv3kG10MxgMcGmrg3aXbft9dm1cYZBtbcj6MoqZ5tfebNAZ2/7679AcNo8VAZ0MvVrcVVJXe1gFsWZlwQ9HCfLx9fiKBKEaLYU4rjHQ6zZO/OczPf7aXyDXCoX8xhoZCfOdbL5NKptmyrWZKZrj5gCAIFBQ6edd7NvP3X/rNjJI1FUXltZ1nWb68mO03Lb6iSZcZBdMOnvrNoRlX6RgMWh56+0YWTLTa+zMmhaqqeIfD7NlTTyqlsOPWpdTW9tDc1E9+voN168upWZTP4GAIUNFqZZYsLaShoRejRoPfH2H//iZSyTQbNy2gvy9Af7+f4eEw229chPkisa1AIMq+vQ3EYknKyjxUVuXw5pv1pFMKeXl2SsuyOH6sjfwRksDW1kFOnWxneDjM3feswusNc/xYO06nieuuq0S8wt+JKApYLfoZl4oKgF6nmdc8oxmfSafTcPMtS7jhhoWk0spo0sS1hly9g/eV38xzPUc4G+jErjHySMkWKixTc+7/GX/a2PaO6/nFPz/Ja4/tIZ1MY7IZuOGBC/HJdCpNyBtGq9OQnqWqZTye5KnfHOFnP9lN9DL582VZwmTSotVqkOUM3XcqlSYayRAtXY5remgoxDe/+RJ6g5YNGyuuSuhh2fIi3v6Ojfzo/96ckYcgHk/xkx/vprDIRdXC3Cs2GQ8PhfjB918bmZhmhpt3LOGWW5f+XhhO/5ChqrBz51lWriwhN8+OTidjsegpKXGzc+dZ1q0vn/L448faGB4KIQoCZ053jiRYwy07lqDVjlU8jEWTdHQM87aH1vPrXx0iO9tGS3M/d9+zGrvdiCSJ5OTa6esPsBgoKHASDscRxQFQ4eWXTlNZmcuZM10sqMwh9xIl0vmGTiuzdmUpew420tE1TPEkCdOqquLzR6hr7KOkyEX+PPZrVuaGJIkYL1JgfOKXx7j/gTXz1pn5gCAIFJuyeG/ZjaTU9AhxhoCiKojC5VFezgXHh39HKDXIEvtttIeP0hE5DkCxaTXllo3oxAulMaqqklAiNIf20x4+Rjwdwq7Np9J6PR59BaIwO+tQUdMcHPwF3kQn23I+hk66EKNSVZXBeAuHhh6nyLSCRbabEYTMpCAIAvn5Tior556Z7Q9E6e/zz2jS0mpliovdV8UrlZfnmHAFWlydz1/82yMMdA4hiiK5ZR4MlguJroqiYrYbsbktmGwzT4BVFIWdr57lZz/dM2sDQRQFDAYtObl2Fi3Kp7Iql6wsC0ajDo1WyrBsjqhJxmJJgsEYra0DnDvTRX19L4FAdNZlZqFgjB98fyd2h5GamvxZTcLd0T6OeE+iEWSuz1pHX2yAM4F6zLKJ9a6VHB4+wULrAmoDDax3rUQjapBlidvvWEFtbQ9v7KqdUTtdXV5++uM9fO5v7xozHs0HVFUlHk/xxC8PUD8LKuOamjze+uB69PrZyfBOB51WQ2lpFubLuM6eHh/BGZYYOxwmsrKuDjut3X4hf0oQBJIjZZ6JRIp9exuprs4jHs8on0YiCeLxJLFoElEUM3/HksTjKURRQBQFSkqyKC5xUVfbgzvLgl4/MWdAKpUe5Y4QRDCb9Vgs+ozRragkk+lRfonBgSC157rYuKkSWZMhTxIlgTVry7DNYhyAzBgS9EVIT7K41hm0GM1jVRxlWeSuHcuobejlv378Bu99x3V4sqyjhHDnS9UDwRi/fOoQLe0DfOjRLVjM+gn5MeZC7DXtrBONJtj56tkJc4uOHWvlvvvXXFMhh4SSYvfAWQ4PNRJTEqNJUbfkrmSde3IN7yuF4XgbreHD9McaRyb9PMKpYV7t/SZdkVNsy/kospAZACJpL6/3fZf20P/P3nuHx3Vd596/fcr0ht57JUCQBHvvFElJVO9WsSW5xU6cz+nOzb0pTuLk2qmO4ybLRZYty7J6JUWKvfcCkigEiN7r9Jlzvj8GAAkSZUCwOdfv8/AhOXPKnjNnzl57rXe97xGSzEWYZQf1nmOc7v2AZYmfpcS5blKBjkDCqsRyuOs1ct0LKXKsvOxdnTr3YS4M7KfEuZbLCUCKIvGFL66e0qp080cn+fd//TAqIZe09Bj+49tPIysTr1x1Tae3s5/+rn50LTJsg1ElOSc6JrEQoxOShBDEJruIHTRgar7QRl1FA6WLIj7y8akxtF5sp6e9L+oUo67rnDh+kRdf2D6pDgYhIDUthmXLi1mytJD8/CQURR5XWW3ofIuXFKBpOt3dbvbuqWTH9rMcO1qHNglFrvr6Lv7721v4279/iNhYW9T7eUIeDJJKhjkVHZ3dHQdJt6RS666nyJ5HqjmZFy/8koczNqFcFvBabUaee34lFy92UhultfihQzW8/vohHnl0Iap6fYP/3TvP8c7bx6K+ZvHxkbbOpKTr74Sbkuri//zNA1M6xjf+4W22fnx6wu2EgLXrpvPZz6+6pvPouk67102v30++K5awriOP4T4bOd8lwbjVa0rYv6+KqqpWVqwoJicnge5uN0uWFBAO61yoaUdRZaqr28jNS6ShvpNwWKO+vpNZ5VmEwzrt7X3k5MaTnh6LdZygKhTS2LunigUL8nA6LRQVpwyX1/r6vLQ09xAIhmlu7qGn240syxw/dpHFSwrYsHEGx4/V4fMGJp3S9wz4+JvPv8i5E/Wjvn/vM0v57F/cfdVYL1zsIDc7ng8+Ps3RExfJzU4gMcGBQZUJBsN0dg1QU9dBX7+XvOwEKs41c+J041WET1WV+dKzKzEaJxfITvgpBwb87N9fzfz5ozh23Yas2wsDLXzUfJS70+ZhVy5pOaSaY2/ZmPqCrSSZClmX8lVMso2A5mF/x8uc7f2YHNsC8u1LAJ0T3e9QO3CIFUmfI8++BEUYcIe62dP+Y/Z3vEycMYtkU3HUkaAQgjTLDOxKPNX9e8mxLcAgRaLfkB6gun83TjWZVMv0kZrf4/ywo4UkRNTBo0AgyWLCOriu62x+aSfbXtk9YnwpuUn8/n8+e03j7G7rRQtraCENT/8lcmvNiTr8nsBwkBD0h+jvcjPQ4x6x3Xhobe3le/+9lc7O6FPWTpeFO9aXcfemcpKTnZMyfBmW85YjNtV3bypn6bIidu08x6u/2j+pNrrz51v49a8O8MxnlkX1UNHRSTInENCDnOypINbgwqZYscoW5sbOwGVw0NDbTKo5ia5AN1mWtGE9AyEEqWkuPvPscr71zffoi8JnIBgM85tfH2TatDTKZ2dfl4XKkNz8z362e0zRrSthMMg89sQiSkrTb0jpQwiBPEWH1skMK3K+aysz7Wm8yEunjqGj8x/r7ua9qvMUxcZTEj9xAB8TY2XDxkuthEuXjVzQrVw10sH0zrtmjfl+YuLYgkqKIlFQkMT6DZc63WbPzh4xjrs3XWpDz8qKZ+asS0Rlh8M8zFeYLIQQxCTYiUt0EAqGCYXC+L2BYQGs0bqmvL4A//bdLQwMLjLcngAnzzQCo4uRVV1op2qMQNtkVPn8M8snbU4wYZBgsRi47745lM++mtHd3++7KVK6k8FAyEeRPY1F8cVcrdB9a6CjMz1mIzYlLqL5LZkodqymqn83F91HyLUvQNNDnO3dSrwxm2LHahQp8lU61WTKY+/jwsX9XBg4QJKpaFJiMS5DKumWmVQN7KIv0EKcMRshBJ3+Wtp8NcyPfxRVmCY+0G0AXdPZ+/YhPvW1ByiYkzvhyjoanN1fhbffy+EtJ1BUZThL0NXaw/zLlBXzy7PJm5WFFtZ549vvT3jcYDDEr16ZXMo6MzOOL35pLbPnZCPLUzdnEkIMP/QKC5P5zn9t4fSphqgyROGwxjtvH2XO3Bxmz8mOaiwDQQ/dgV4K7XnEGl2sSFzIuf4avOFIqtsqW3gs417O99cQ0sMYxKXJSJIkFi8p5Py5Zn7x8t6oVvE9PR5e/NF2MjLjiI+fulmZx+3nJz/eQUN9dO2OkiRYuaqEO9bPuOaJdUiHXxDdfTzZ7W8mPqg5z58tXMa/Hdo7/IxqHuiPKki4WYiJtXLH+hsvzz8aLFYjf/D1B+nv8eLu9+Lu97Hj3eN8+OqBMfcxGhQee2Ae4fDUV+SKIl1T1i2qIGFWeeaoN+T6DWU3ok31mlDvbsevhQhoISoHmjnQeZ54o2P4Zo03OnAZbo1mvVGyDAcIQ7CrCZhlB33BVoKaD3eoC2+4j2zbvBHcAyEEccZsFGGg1VeJjsYkOleRhMQ01xrO9H5E9cBe4ozZaLpGZf8uTLKNLOuNtc++3nDE2bHFWDGY1OvykJy3YRag09c1wB1Pr0Ae/BHVHK+jrf5Sm2LlkQsc3nKSUDBEUmbCuMfUdZ0D+2v4ZGv0xjql09P58u/fQUHh2G1O1wohBIVFKfz51+7hm//0LseO1UW1n9vt55VX9jGtJHVCaWGBIMWcSIr50oQQazCwKO7S/VXqjKwOS5yjl/2EgPsemEddXSe7d52LKpg5e7aJl3++m89/Yc2U+ADhsMZ77x5n187zUZfZ8guS+Myzy6ekl6/pOv/65k4eWzaT9HhXVPt8/8P9LJ2WzfSsqak5Xm+YFZV2r4dAOESLu5+ani6WZ2Tf6mGNwK0MrIQkcMbacA6W8HRd5+IErZYGg8KnHlo47jaTGsM1fPwoiipjp553bD/Lvffd+klG13V+U7+XZl83IBgIeflpzVbsqgVpcOyb0uazJGHa+Ae6QRBCRlwxsUtCRiAT1iPEnJDmB/ThDMLlkIWCJBSCmpdrqfHEGbJIsZRQ1b+bWTH3EtS8NHpOkWjKJ8YwegB4O0IIgS3Gyg/+7OdMX1qMyWIEAc54B6sfX3JNx1QGg4L1n16J0WwYtofOKk0nJffShJdelIKQIr4OQ7yFseD1BvjVK/uitudNS4vhS19eN2UJ3/EghCA52clnP7+Kf/yHt2ioj84aueJ0I/v3VbNy1bSbYnMbG2vlmU8vo7KyhdaW3gn30cI6H31wkpkzs1ixMvpS3OWItDs28NprB6OWXY6MczkJiY4pXRchBGtn5uOyRk+CW1aSTcp1MAy63rivsIRfnDnO2c4Ovr77E+alpt9WWYTfRohJlG1vFCYMEgKBIEeO1JGbm3CVKcvhw7Xcc++cW/4hhBB8oWAj+jgTqHILOhuGENR8hPUguq4PP1AirwUwyBYkIWOSHQgh4w31cmUgEAh7CekBLLLzmnTpVclMkWMlu9t+RL37KIpkotNfy8qkLw5zFH5bkJgRj9lmQtc0vO5IGtt0HRjuW17aid/rp2RhIbkzsrDYzVgu6244s+c85w5V40xw0NvRT8oYREld19m54xznzjZHdV6Hw8znv7iGgil0kkSLoYzCp55cwr98872oOh88ngDvv3uMBQvyrnsnwVjIzknguedX8B//9hEDAxOz8n2+ID95cQcZGbHk5iVOetLu6nLzg+9vo70tOi8JRZF49PFFzJs3ukR0NNB0nZ2nL9Dv9WNUFTITLn0XHl+A47XN9Hl85KfGk5MUiyQEHn+QnWcuIIBE56UOhJbufroHPLh9AbrdXvKS48ge3Odmoig2nq8tWkkgHEIIgVlRUW5CG+3vcGMxYZCgaTp9vR6am3vYseMs06enD78XrQXpzYBx0FQprGsEtBAmSUXTNXqCHlRJxqhEk4rU0fXr/5nCeoB2XzXxxohvg67rdAca8IZ7yTUsRJVMKMJAjCGdZm8FAc2DSXYMb9vkPUVYD5JsnnZVRiIaCCHItJRzWHZQ5z4MCFTJTJZt7m9NFgEi6bp7fu8OQoEQPo8fEJisxuFswFQwb8NMzh2sZs+bB/ngxW2ULStm3vpyXImR7yEUDDNzZSmZRanDJYkroes6Pd0etnx0KurWwzXrSpm/IPemuTFKkmDp0kI2f3SSI4dro9rn1KkGLlxop/Sy3/6NhCQJliwt4vy5Fn7z2sGo+An19Z289LPd/Mmf3T2p9H/AH+K1Xx+g4kxTVNsLIViytJANG2dE1Y0z5nEAp8VEKBzmlzuOE++wEmu34A+G+Om2w3QNeMmIc7L1RDWfWlFOWXYysiSwm4z8dNsh7GYjCc5I+fRMfSs/+fgQc/PTMagKb+47zd9+aj2x9usj0R4tfnj8EJ+dOReToqDrOgebG7GoKtMTkibeeRC6rhMKhvF6/AT9YXRdR5IFqkHBZDagRNHCN9QWHDlGCE0bPIaqYLYakZXJ8310XUcL63jdfvz+yIJPliWMZgMms+GmuqnebEwYJJhMERGlzs4B7r9/LmUzLpkW+f2h24WSMIw6dxt7O87xaOZS9nac5Rd1O4gzOPh8wXrSLfFRHOH6yVkOQULmSNdvsKnxxBmzGQh2cLjzNUCQb1+KQEIIiVkx97Kt9b/Y0/YTZsRswqw46fBVs7/jFzjVFPJsixgigYxsb9GH/7789ZEciESybfO4MLAff9hNnn0xZnlsFvDtCF3X6Wjs4o1vf0DN8TqEJCiYncN9v7+RmHEYzdEgKSuBpKwE5m8s5/DmE7z93x8hK8pwGSM2xcXO3xzgzL5KEtLjWPXIolGPc/JkPSdPjt7idCVSUl3cd9/c66LxPxmYLQbuvGsWZ0434otCvtXvD7F58ymmlaSN+TDs6vfQ0eemMG18vka0MJlUHv/UYiorWzh+7OKE2+s67Nl9nvfePcZ9989FiaadVtfZvfs87759bAJ/gEvIzUvkM8+uGLfFLhoIIZiZk4Km6Xx45Pzw610DHg5WNfCPT20k3mnlg8PnePdQBaVZSRgUhUXFmbx7qOKq41mMBj6/cSGapvN3r3xMTWvXTQsShsiU57s60HQdQSRTcq6rg3T76GWRYCDE7o9O0d7UQ0ZuAgvWRIyX6ipb+fDVA5zYV01zfSdBfwiLzURqVhzFszJ5+HOriE0cu9SiaRoXzjaz/Z1jHN9XTVNdB35vALPVRHJGLGXzc1lx10zyS9PHdcH98FcH8Az4yC9NY+aifLrb+9n8m0Mc2FrBxapWAoEgDpeVvJI0lmwoY9nGGRivE09qIlSfaeTY3iq0sE5GXgJzVxRH1QXVVNfBvo/PEA5pJKa6WLimBKN54oB6wqfT0IeOi7MRE2PF4wkQCoUxmVQ23TP7tiEuDqE7MIA/HMQT9rOl5TjP591B1UAzJ3vqoggSdNCja32aDCxKDMnmIj5p/W90XSOk+9HRWRD/BEmmguFrnGdfjCfcw/GuN6lzH0YICU0PYZTtrEr6PVyGVIQQhLQAx7rfoM59BH/YTW+gCb/m5rWLf4FJsmOUraxI+gIuwyWVSSEERY6VnO75ENDJsc1H4taVYK4Fug6v/+f7xCQ6+cK3nkbTdHa+to93vruZp/73Q1M6dsO5Jg58eIwLJy4Snx7LE1+7n/zyS46duWVZZBZHfAbGUiLUNJ1Ptp2JKoswxIxPTrn5gZoQgunT08nMjIu6++JsRROdnf0kJFzKcA34AnQPeDGpCt1uL/vPXsRsUHFaTZiNKu29btB14p1WNE2no8+DIkskOK14/UG6B7yoikySy0afx0+vx4fdbCTGFinzOJ1mnn1+Jd/4h7dobuqZcIyhkMavf7WfgoIkZswcn2uj6zpNjd389Mc7oyppQER059nnVpCeEXtdJgMhBIiRwYnXH8SoKBgNCpIQxDssdA140XQdWYr8BkZ75qbEOlBlmbDQURUZ/03M8npDIf7v/p3sb2rgSx+9PTw+l9HEysycUfcJ+EO89/JeTh6oYebCfOavnsb+rRW8+H/fo2HQOHAIfd1u+rrdNF/s5JEvjC2v7/cF2frGYX75nY9pb+lFH8xACUkMH6PyZD27PjjJg88tZ/3D8zGMQnYNhzR+9d2ttDZ2s+zOmVhsJn70f9/j1MEawiENISLfQ0dLLx0tvRzfV8WpAzV85k824oydepfNRNB1+OV3Pmag10t2UTLZhSkkpY/v4qppGlteP8wr3/kYXYd7nl7C4jvGsLa8AlEvYSICFJXs2V1JKBTG7jBz510zyc+PPpV0M6AKBXfYx/6O85gVIzNjcmj39+EJRSNmo6Fr7us+Jk0PMyv2Pkq0O2j31SCAJFMRCabcEeJIqmSkPOZeMiwzafNVEtC82JQ4Us2lWJRLN4EQglhD5jilh0g54UrY1QSchhQEEinmG09Eu+7QdVrr2rn/9zeSkB6RJzVaDPz4r16Z8qHP7KskNsnF8r9eSHz61ZOAosoTljWam3o4OYZQypWw202sWjVtUjoI1xPxCXZKStOiDhKam7qpq+0gPt4+fG1e232SBKeVRJcNq8lAXVs3hyobCIXDFKTFc+JCMwZVISsxhgFvJAjo8/hZVZbHkepG/MEQWYkxOK0m3tx3mgSnlebuPh5bXo7FGFmVlZam8/jji/jP//goquCrvb2fH/9oB3/9dw/icIzus6HrOm63n5/9dBf1URI4VVXmwYfmMWdudO2g1wqL0UAgFMYXCGI3G2nvcxNrMyMhLmU7hv66jOMk38J0t0VV+driFQB8oXz+cHum02jEIE88xXR19HHq4AW++3dv0tHcQ1ZhMgXT03HF2QkFQzTVdXDueD3TyrOw2kfnUIXDGh+/cZgXvvEungEfRrPKzIX5TCvPwmIzMtDr5cyRWo7vraa1oYsX/vldjGYDax+YO26poPpUA//xv16jpqKR3GlplC8pIC7JQcAfouJILUd3V+LzBPj4jcOYrUae+/O7bnhmMLswmZI52ZGsRmUrFUfrSEofW7tB13V6Ogc4sbcKTdOx2IwsWluKGqUYVNSfpqW5h/37qnniyUXYbCYu1LTzxm8O80d/cuctJy5ejmxbIrs7ZD5pO8kT2SuQELhDPjKiKTXoGprec93HpKMjo5BqLiHVPLafOYAQEgmmXBJMo4hXDUIWKrn2ybfF9AVb6Q40MDfu4d+6UgMAAhyxNo5sOcGMFaXomsaB94+RmBlNGWl8ZJemk1GUhsVxbUROXdfZt6+Kvr7oOhoKCpPJzrk+qflrgRCC8tnZvPnGkahS7QMDfs5WNA1rJviDIbr6PTy5ajayJFHZ1E5RegLLpufw3sGzXGzvoSQzGZvZwIkLzQRCYVaW5VHd3EljZy+LijPZeeYCjZ295KXEcepiCyUZkZR6MBSGQQEnIWDVmhKqqlt55+2jaFH0i58+3cgvXt7LZ55dPqoQlK7Dhx+c5JNtFVGXGeYvzOPBh+bd8Akg1mZmYVEmL2w+SFqck1N1zXxqxWwkSdDS3c/Zhnaau/o4Ut2IUVUoybw9FmmqJPOH8xbjMETKMMMF0MsCmbHQ0dzLd/76dXRN4wt/dS/L7pyJ2WpEUSR0PVKa6O12EwqEx+zzv3C2mZ//+0d4BnzEJTn5wl/dw5xlRZGOJRHRWPG4/Wx76yg//uZ7eAb8vPLfW8ktTiGvdGz58eb6TmRF5s7HF/H4l9bijLNGNDF08HkDfPLOMX74j+/gGfDx0a8PsmhtKTMXXX9nysshKxJr7p3NsT1VBHxBtrx+iKUbysad9GvPtVA9yLvJKkhm2ii6R2Nhwjt+SBs6GAqTlOwkIcGBqshkZcdjMl9fnfLrAYdq4fm8dQS0EBY5csOuSiob/vd40NHQtZ4bMCqdybQuVpxvpuJcEwW5SWSkx7L/UA12m4nymZnsPVBNKKyxcknRhLKgkVph5NxhPcjJ7vdRhZEC+7LfviwCkYntzs+u5df/8g6bf7Yj0pufl8Sjf3LPlI+9+aWdPPon94wbJGhhDcToipQ+X5CKM41ROwYuXJh/y8lO+QVJGI1KVLwEgPOVLYTDOpJEhJGf6OKlbYdJj3OSkRiD2RBZ/RtUmfyUeHafqUUIwbzCdLz+IB8dPUcwpLFp/jQutHbjC4Tp9/pw2cwsKMzEGwiS4LBiu6JOarEYeeJTizlX0cy5cxN3jYTDGu+9c4yysgwWLykY8V3pus7ZiiZ+/er+qMmlWVnxPP3Mshva3TE0QoOq8KkV5Zyoa6bX7WPptGxykiKZrUAojDcQ5KElEbVAjz+ApumUZCSR6Iz03kuS4MFF00mOuTn+C5ej1T3Atw/vo9PrQZEkwrrOczPmTNgG6XX7aarr5Ct//xAr7ym/SphKUWXM41z7YCDEuy/vpbujH9Wg8MBzy1m4tnRElk7IApvDzIZH5nP60AW2v3OM5osd7P7oFLnTUhFjqFrqOqTnJPDEl9eO5EIIMFuNrL6nnMoT9XzwqwN43X62vnmEkjnZUa/SrwVCCIrLs8jKT6LyVAPVpxupPtNI0VglNh32bz2DzxtACFh+58xJjW/CLd1uP7/4+V4CwTBnzzbR0NCFw2GmrraD7JybY8ozWaiSgipd+mgxhij15/UgWji61rXrCV2HppYeWtt6SU500tProbQ4jbycBCrON+NwmPH7Qxw5fpFAIERigoPTZ5son5E5/nHRON+3nZ5AM+3+Kurdx5kb9wguQ9pN+mTXF0II8mdl88c//AI+jx8hBEbL9eluKJ6fT93pBuwxVpTBH5AkS8P8g572Pg5vPkFafjKKQSF/VvaI/Xt7vZyNsu3RajVSVHzrXUktFiPJKU5qL3RMvDFQXdVKKHRpNXf/wumENA1JCGRJIi85DlkSPLikDFmSyE+JQwdURQYdyvPSEAJUWSbBZWNuQTqSECiyxL0LSwlrGkKIUVv34uPtfP6Lq/mHv3+Ljvb+Ccfqdvv50QvbycyMG8Eh6O5y88MfbKOtNbp2R6vNyHOfXUle7uRbK8dDn8dHIBSm1+3DEwjitF5SPTUbVRYUXv3bzkqMISvx6rSyxagOBwUCKMtOuW7jnAx+ceYEi9Iy+bCmkoeLp/NRbRUmJbrJaM6yQhauLb0m5cqmug6O761C1yEuycGa+2aPWcZTVJlV95Sz491j6IOT5+NfWothnPMuXFtKzBimVwaTyqp7Z7Pz/RMM9Hk5d/wibU09pGVPPbs5HhJSXCxYU0LV6Ub6ejzs+egU+aXpoz4Le7vdHNgWIbsmZ8Qxc/HkMh0TfoMGg8LCxfmgw/LlRXh9AcIhjUWL86fM8B0dt84QQtM60HXPdT2mSbZjVxMmcHCMrPY93iAHj9aSkuTk4NELtLT2goDEBAcDAz6qLrSTmxVPXKyNyurxlbqG0OG/QHX/HlTJzIL4J5ju2og8STfJ2wlCCFSjijqYRtZ1ndN7zjF9SfGUjuvucfPu97fgSnQgDz5g7nxuNbPXRlZt5w5VEwqGaKxsprO556ogoamxm7bWicV/AFJSXMTGWm95NkdRZJKSXFEHCb09Xjo7+knPiBv2FLj8oT4kg67KketnuDw1L8B4WeCuyjKX82YVORIsjIUhfsIjjy7gh9//JKr264t1Hfz8pd38/lfWY7UaI34PvzkUNW9EViQ23TOb+Qvyrrv98+mLrbx14Ay6pnNHeSHpcb+F5b8rEAiHmZecxsHmBnJcsRTHJlDX20Oua3zfHFmWKFuQh8U2+flE13Wa67toa4r4kuQUp2B3ja+sG5/sxGIz4e730d7cQ2/XAAnjWCsXzxp7MSaEIL80DYvdxECfl/bmXno6+knNiruhv28hBMvvnMkbL+5koM/L/q0V3PvMUuKSRt5Huq5zbE8l3R2RwHra7CzSsuInNbaogoSysgzCYY3jx+rYtfM8wUAYZ4yZu64w2RjnE0W3nR7mVgYJ4VAVEF26OFosSniGRQlPM14biN8f4vCxOoQQdPe4uXNdGWUlaby/5RSxMVY8Hj9eX5CkRDv9bh/WfiN228R+CwKJJQnPsiThM8Ov3OqJ6VowVDceska9HKFgmHe+t2XKQcKqx5aw5N6RtufWyx42ZquJCy0X6WjsIrss48rdOXu2KWrXwIREBw7nze1hHw2yLI2w650ImqbR1tZH+hie9tFivDr15d/1lVBUmbs3lXO2ooltW89MKJ+saTpbPz5D6fR07rxrFnv3VEZ4DVF+T/Pm5fLQw/OjaqecCFd+roVFmcPZAiEuvT7e57/dsTAtg76Aj8LYeP7Pzo+RBPxe+YIJ9zOaVZJHIQtHBR3qzrcQHizz9XQM8Or3to3bddfTMTB8D4RDGn3d7jGDBINRIW4CVU2jWSUhxUVbYzeeAd/whHyjkZgWw7yVxWx76ygXq1s5dfACy++aOWKsfl+Qg9vP4vcGUVSZZRtnoBont0iMeuu2tj527TrPvffOxmo1UlvbwdtvHeWLv7dmgj0lIFruQhB9UKb4VvxIwsFTXO8gIfI5xv8skixQFRmvP0isy8qpikaqa9tJirdTWJDM7n1VWC0GFs7LY/uuc5zva+WO1aVRnpsJz3+7o2JfJTUn6rjzs2t44S9+gX+wtgaRIKGzKTqG+ngwmFRO7T5He30Hm75wB10tPYQuq1kXz8/HZDPS3zlA3hVZBIDqqraoz5WY6MB8G/B5ZFlgt0dv7hXWdDqm+ADUwhptjd0kZ14daOi6TvXpRgL+ICVzRm+dMxgUnnp6KY2N3VGpWobDGq/8ch8Wi5Gfv7Sb/iiJpcnJTp57fiUul2XKzyJd1znWc4YMSwrxxkur6v7wAE51ZBr7bH81NsVKhuXWlAyuBe5ggFBYY2FqBrIQLEvPIscVg1lRyXGNzbofgixLmK7R/0IHei5zWa04WkfF0ei8SSDy3fi9Y3NyjGbDmOJplyBwXBZsu/uia6mdKgxGhcV3lLF/awWeAR9b3zrCorWlI9o6O1p6Ob63GoC07Himz528SmjUQYLXG8DptJCVHY8sS1htJnbsOIuuj58oEEJCiGgfiBq6Fl3K9npD132EQme5FZkMg6qwcd1IZ7LL+QYPbJo9/O977px1s4Z12yAmyUnmtDTQIxbO655ePvzDDfpDtDdE59o3Hnb+5gDVx2upPVXPXZ9by8mdFciqzPIHF6JpGooqkz8zG13XOb7jDLNXX/q+/P4QjY3RBSqSJIhPsN8WK0UhBIZJrCp0TaOz89pbhMOhMCcP1LDr3WOsvHcO8SlOKg7XEpPoIKc4hSM7ztHV1kdmQRI73z2G3xekYDCLmVWYzPE9lcxeVkRmVjyf/swyvv63b+J2T9za3NzUw7//6wdRbQsRHsLTzywb5FyN3kKpoSMh0NCQkNDREQi0QUEzIcRw+UVHZ4arGGmwZVnXdboCvXzSvo97U9dFbNUR6OgU2HKQhHTZeQYXLTrDrwNoaMPPXompO4ZOBa9UnORYayRg8wSDqJKMho4qSXxpzkKmxU3QxTMGDyU66Pgu+14NJnVS97TZYhx2fh19aNEJ4V/OBQj4r78g32gQQjBjQS7pOQmcP1kfITBWNFE8K3M463pyfw2dg2XQJevLMF9DSSfqqxkba6O/38evXz2Ay2WltradgoLkqCoJQliJZBQmXqVr4ejkUa83wqF6wqHqW3Lu32F8pOQmkZKbhKZpLH9oIaseWzL8UNTCGrWnoqsxj4fKIzU8/Eeb+NFf/hIAk8VIX1dk1bz1F3vw9HkYUlFprG4ZESR0dPQx0B/96qGra4B9e6umPOapQtd1WpqjD8o1HTye6Cba0SDJEompLjLyk8gtSWXf5lNkFiRz4WwTrRc7ccbbSFBcEQJaspO68y20NnTS2tAd6Sy5LH4vn53Do48v5KWf7o6KnxBtgCCE4K67ZrF6TcmYollBPcSvG95nXdISfnTh1zyWcTfHes6wMK6cQ90nafS0IAmJRzPuwiSb2N91jH2dR3kgbQO5tgz6ggP8pvEDKvvr6A+6WRg3i0J7Did6z7GldTdrEhdTHlNCWA/zL+d/RJo5ie5gLwtiZzE3pozjPRUc6zlDk68Nl+rgMzkPYZZvnd37w0XTuadgGr84fZwMh5NFaZn4wyF+ffYUWrSWmtcc44gRWYhNTy7moedXRF3iFoIxtRcAQsFQVOUp/2UdQteaFbkW2F0Wlt81k/Mn6+lq6+PAtgoKy9KRFZlgIMSO944BEJfoYM7yomvqqIo6SHA6zTzw4FyOHqmlu3uA0tJ0ppdFp+UupDiiDRIivICbi4jW93m00NQnm98WBMNhwpqGQVFuuhHMtUKSJDY+N1JxTUiCB75y55SPnT09g22/3E13aw+HPjrB/vePsv7TKwFQjQpz1pYhJAnQCb8/8j7u6/VGrXCnaTqvv3aI1187NOUx33ToOsEpKPkJIYadNodWb0M6+uGwhiRLKIpMU10HgkhMIIQgLTueE/uqWH3/3OFjqarMPffO5mxFM3t2nx/9hNeAGTMzePDh+eO2iEkIVKFywd1ASAvR7u8krIexKRYWx81GiVd4s2kzte5GylxFLI6bTb27ibAeKV85DXZWJy7GKBl5Ovv+4ePOck2j0dNCULs04XjCXpYnzMcX9rOz42AkSOg9y4rEBbT5OukO9mEaxTn2ZsJuNGIHGgf6uK+whFiTGU3XibdYaXMPUBqNE+Q1JnAF4Iy71L3mcfsjqofXiWjq8wbx+4Ljl8B1nd6uSyUP6zVqrVwLhBDMXzWN117YTnd7P7s/PMkDzy3H5jBTU9HMxcEyaE5xSqTV8xqe9VEzcrq73bzz9lFqatppb+vn2NFa3nzjcHQnkRIhSgngUPAY15sXMDHCBLxvAddfknk8NFQ2U32sNmpBlyH4vQH2vXsET3909dXR8PbRCv7P61to6xuYeOPbBLquX3WthBATWjdHg7WfWk5Cehyp+ckc/+Q0655aTtG8SKvQsvvnk5qfTGpeJKOx9omlI/bt7fMS8N8+Zmc3CroeKa1MBa54OxabifPHLzJtdjbVpxqISbCz6I4yejsGCARCFM7IQDWquOJsxKe4SM1OQFFkrFfwJ2w2E89/biVZ16ndLDnZyee/sIa4uPFbpiUhEWdwcqLnLPNiZ1DnacIgGegN9vNu8zY2t+6i0dtKQJ962tmh2og1uLAo5uEgI8EYy5Hu09R7m0k23dhWu8lgSXoW3zywi3/at4O/37udis528mOmRnKdEAJyilKHWx6rTzUQCkWnfxENtLBGc9345cyBPi8dgy21DpeF2DHaJW8UEtNiWLC6BAQ013VyYl81mhbpaujp6AcBKzeVYxxFgjoaTIqToGk6a9dNx2CIfCFqlJKykpKBEAq6PnHKTwtdRAvVIqt50Q5tygiHqggG9l3z/rqmc+H0ReLT4nDERqnJANSeqqerpYecGePrzF8JT5+XV7/1NlklaSPsjCeDs83ttPUNYLhFssDXAl3Teenrr/Hon947bEzS3drD9lf3ct+XN07p2OFQmKUPLGD5QwvpaeuLrEQGhfID/iCSJPB5AqDrHPzoOGsevxQo9Pf5bitH1BuJcHhqAbwsS6x98FIXSUrWpUlu3cPzh/89RFzsbO1l/8enKVuYd1UPuBCCjIxYnvn0Mv71W+/TP4mSz5UwmVSeeHIJhUXJE/4WBQKnwUFLZzv3pK7l5YtvMS92Bh3+bsK6xtzYMpp8kRblsB6mJ9CPJ+yjJ9iHJ+TFopixyCbcIQ/N3jacBjtmyURvsJ+BsAdjyEB/cGC4hHDlaByKjU5/NyXOAjItt15vYwgbcgrIj4mjeaAPg6xQGBtPgjnK7plrXPgLIUjNiiM5M5aGmnaaL3Zy9thFps/LuW48jRMHqll5T/moFQxd16k4Wodn8N5LTI8hJmH8bojrDYNRYdG6Una8dxxPv499H5+mbH4uR3adR9N0ktJjKVuQd81jijqTYDAoNDV28+7bR/nwg5N8+MFJtm8/G9W+spILIrqamaZ1EgzsQtdvTjZB1334PD9D17qvcX+dgC/Au9/fQmdT14jV7tC/x/qz5L55bPrCuqsU4a78c+Xr1wM6EZ14s3rrWfbRYMhprv5cE1pIG74WAV+QswemziV5/4WtNNe0Un+uif/48gv84M9/Tu3pSPmp6mgtxz45w1vf/YiPXtrB2QOXSmL6YJ0+WvW+33bcbFpvbKKDjY8vIrsoZdSHnCRJLFtWxF13l1+zgqUkCTZsnMHqNeNLpg9BCEGGOYU1iYuJN8YwJ2Y6BfZs8myZZFhSON1bydK4uaSYEvGHA5zorcBpsNPsbaPBG/HKSDYlMCdmOvu6jtHp7yGsa5zqO48iZPqDbqoG6hBCYkHsLBRJwa5YKXeV4tP8NPhaUCSZyv5aXq1/fzjDcKvR6nHzTtVZ3qk6x5uVFexvqicQjnJsU7ixUrLimLeiGCEE/X1eXv3+Nnq73GM+K0d7vo6HIzvPU1/VOuq2XrefrW8cwev2IwSUzM4mPvnmal4IIZi5IJ/MvEhZp+p0IxVH6zg/qAeyYNU0YuKjX7xeiagzCQF/iOQUF0uWFg7LAY+lo30lhLAiK3mEAtGw0AP4vW9jMG9CiPFFOKYKXdcJ+vcR8LzNtZY4mqpbef0/32f3mwdprGrB6rRwx1MrWHDXbE7urODYttPY42xU7KskOTuBx//ifhRF5qWvv8aZfZUs2FjOQ1+9OzIeTafqWC3vfH8z/d1u0guSuff3NhCb4qLtYgev/du7dLX0kJKbRCg4tZXrnOw0Tu9upb3fTUas87Zg24+HixWNfPLKHqqP1fLCX74cWVXq0NHcTWbR1BUkG6taWPHIIt79/hbWPbUcgKpjteTOyKJwTi7NF1rJLE7DHmPl0EcnLttTJxgMX7fg7XcYiWjuSyEJHnhoHrW17ddECC2elsoTTy7BHIVt7hASTXEkmiKp9GUJlzIjqxOvthBfNcprQgjmx80c8drS+LlXbbckfg4ABkllbmwZXYEe+oL9rExYyEDIw6HuE1ftc6vwk5NHmBaXwMPF0/GFQvzizAmSrTbmpUTHXbtWKIrMpqeXcGR3JXXnWziy8zz/9hev8tBnV5KWE4/ZakSSBOGQhs8TYKDPS2NtO4d2nOOOB+dROONq3ZPL0dHay/f+/i0+88d3kpGXiNGsoms63Z0DfPDL/ezdchqI+Mrc8dC8UVUjdU3H6/ETCmmEg2FCoTChYJjerkvdQgN9XpovdqKoCooa4efIiozJrA4LvI0Fg0lh9X2zOXeinpb6Lra+cYRAIITNaWb+6mlTUqWNOkiwWI3IssTePZWoqoxAYLMbycuLgpSChGpYSChwIKpzhQIHCfg+xmh+6IZNXrquo2nNePv/BV2/9j77xMx4HvzDu6g9Xc+nvvYAmdPSMA1KrHoH/Ox9+xCP//n9PPPXDxMOaRiMKpIs8eT/epBf/+u79HZe6jvvau3hZ3/7KisfW0L+rGze/u5HvPP9zTz1Vw/x/gtbAXjmrx/hzL7zbP7Z9il9/mWF2eypushLe47y7PK5xFotV6XTZEm6bUiNCelxzFxVyqk95yiYnYM66BJY7jBTurhoysdPyUnk1//yDj1tvTz8R5s4vPnEMLvdYFLJLEqjq7WH3o4+Ft8zZ3g/XYfgFAO232FqEEIQF2fjmU8v4/Tpxqi1EABcLgtPPb2U2NjxVfpuF8SoTlbEL6DB24IqFO5NXYcsbo+SYVjXWJyeSYLFiq7DtPgEvKEQmq4PO0OOiSk+ZpLSYvnc1zbx7f/9G5ovdrJ/6xlOH7pATnEKMQl2FEXG7wvS2zVAa2M3HS29mC1Glq4vG/e4CSkurA4TR3dX0lDzE6aVZxGbaCcYDFNT0UTlyQZCwTBGk8q9Ty8huzB51OP0dA3w3b97E3e/D783gH+QENlz2fN/z+bTnDtej9GkYjCpmMwGLDYjm55cwoyFE5ffZy0uICUjlqa6Tg5uP4uu6aRlx1MyZ2rOpZPobrDwmWeXX+NpJBTDfBBW0KPpsw7j7f82slKAos68IYGCpjXh7v1fg0TJa4dqULDHWlENCrYYK854x4j3Y5NjWHzvvKsiOdWoYjSrI8iHLRfaaKvvRJYlGs43Y3FYOLX7HEF/kOrjddz/BxtJL0zBYjfz9nc3T2ncH52qpKGrh1MNrbx7/Cx2swn5iuv89QfvoDzr9qh5WhxmZi4voa9zgIV3zR7VB34quPOzazix4wzZpRmYrEYSM+NxxF0iIJ3ee55jn5zGZDFgtJjY9Pm1kTd0nWDg9kj3/r8MTdOor+/E550c+djjDdDQ0MXcebm3pQ/NlRBCUOTIpcgxtkvsrUKSxcaff/IR0+OTGAj6OdXeytzkdI61NvNw8XRSbOMQ+nQI6yE0XUOVJt9CKEmCWYvy+dp/PsnP/u0jTh6oYaDPy8kDNaNvL0ukZsdN2IlgMCl89i828c7P93Bo+zl2vHf8qm2csVY2PbmY+z6zfEzNBa/bz/6Pz4xolbwSnn7fMLdhCKpBZv6qacD4QYIQguSMWOYsK6L54l68gy2/K+8uxzSJDNloiDpIkCQxoevgWBBCIKtFyEoB4SgnZS1cg6fvb7G5/gVJzkSIqUujAui6RjhUhaf/GwR9W7g+Vdaxny4WhynqWumQ42b9uSZkVcZkNbLmU8sGj399VShDmkaiw8bqkrFrVTbTrW2tugoi0mlw+eXWdR10ptzyZLGbWXjXpQxB4ZxLD2G/N0BXaw/zN8wiJTeJD3/yyaXzD43hd7hl0HWdmup2XvrZ7klzQwL+EL96ZT8lpWkUjcF7+B2iw6ykFLKcruH/L0zNiGQjEViu4D4ZTSpP/eF6+rrdKKpMVnEyrb4GBkK95FinoUgql8sY6bpOUPOjMRRECIJaAAEYJFNEvEqWyCtJ44+/+RinDl7g+N4qzh2/SHfnAH5vAJPZSHyyk+zCZKaVZ1EwI52UCSTGve4A8clOvvL3D3FgawV7t5ym5mwTAX8IV7ydkvIslqwvY/q8nHHbZmMS7PzZv30qovcxCQhJkFcSXTlVVRWWrC/jo18fxO8LEpfkYNaSgkmdbzTcNKcfSUrGYFyFN3ic6CZmnVDgIAPdX8Js/1NU47IpBQoRkkofAe/7eAe+jRauveZjXQlZljCaDdSeqsdiN2N1WrCNYzIyRLjze4MEfUF8Hj8Gk0pKThLpBclklaSTNzMLd68X1aCgGhVyZ2Sx793DJGTEce5A1ZSliB+YU8r9s8eXdpZvsZXxVdDhwAdHKZqXjyshkrFprWunubqV8jXjpw2nggMfHKPuTANnD1ShqAqpeUnD7wkhJmW7KgSkpsaM6VJ3W0MwYXvgrcDAgI8f/GAbFydoVRsL7W19fP+7W/mLv7yH+PjbQw3ztxFnOtqp7+tFRyekaRgVhcenzSAv5mpumaLKlM2/FIj7wh6OdhyhO9COhESeffrwexGFylaO9+zBKJkodsym3d/MRc95YgyJzHQtxiAiCxohBHanhYVrSpi/ahqaFhHhGlKnFEJEdDoGn20TfdfhUBhN03HEWFn74FxW3TcbXdMvqV3KEpI0sSeO2WJk0dqJpfSnilAwPDy7zlpcQHLGNXpiXIabFiREbH3vx+95GU2LzsEQdELB47h7vorBfC9GyyPIcjqI6Bz0IqtML5rWSShwEJ/nZULBk+OXPIQFdB+TITIazQbufH4Nm1/awd63D3H359cxY3kJJquRmFF6+OvONPCrb75NW30H4WCYf/viD1j/zEpmrSzlyb98kPd+tJVPXtmD2WZi5WOLySpNZ+Nzq3n1X97hxb/6JVnT0pm3fhZKlDaso0EeQ03udoau63z88i6yStJhMEgI+kN8/PKuGxokzF8/k7KlxdScqGOgx03x/EtWq0KAYRKkIINB4Q+/uoHkcVznbmdYLFPPLmm6H10PIklWohO9HRuBQIjf/Pogx47UTuk4J0/U86tf7udzX1iFqkb3uwpofk717OKC+zSykClzLSPHWookZPZ2vINdiaHVf5GuQAtlziUU2efR5q/nWPc2+oKdmGQb8+LuIMmYxaneXfQFu3GH++gNtJNpLWJ2zBoUYaDJW83Rnm24Q70MhHpIMeWyPPFBZGSO9XxCo6cSs+JgTswakkxZtyzIWZqexUAwAOj0+v28V32OgBZdZscomcm1ldAb7CTPPv2q+6Iz0Ea8MYUy58LhTGJXINJxMNo9NJpL6VQwdE1v5+A+4A+y64MTBP1BjGaVBaunXbM2wuWYUpAwWccySc7AaHkM78C3gejTgprWis/9ffzeV1ENi1AMc5CVAiQ5DUmKGWyvFEAAXfOga52Ew81ooRpCoQpCgYNo4cYoxpeO2fYFvP3fRtNaoh6fkATzNsxi3oZZI16fsXwaM5ZPu2r7rJJ0/uRHX7z6OEKQOzOLL//7Z656PSkr4arXpwJ/MERIGz8QMqnKbRdMaKGhlcFgvCxuvFa60WKk4kAVLXXtOOMd7H7zEPd/ecPw+4oqDyk2RwWH00Jq6sTGN9cbuq7z3uGzFKTGU5g6gZ7+NRw7Wnj8hwmEG4ixPBRZ9QiuKVjQdZ0D+6t57bWDhEJTa5nWNJ333ztOcXEKq8aRZL4cFb37qOjbz7KEBwnqfna2v4ZRMpFmLqDNV09N6ASL4jdR6liEUY7UvmWhkGubgVON52TvTvZ1vMPdqZ+jJ9jBqd7drEp8DKtjPptbXiLemEaqOY8d7a8xO2YtsYZE3mr6HtNdi7HIdna2/4buQBtLEu6jyVvDRy0/46GMP8Si3FwxnyHkX5Yx0IFOr4eWgf6JvRsGoUpGGr21uNQEsqyFI95zqrHUeyo53P0JubZS/JoPRTLQ4r1IQPNfE4/hfxJ0Xae+up3DO8+h65CaFc+cZUXXJWCcUpBw5nQjJaWTaT9TMFqfIOjfSSh4ZNLn07VuAr73CPg+QggzCBMCFYbLEDroYXQCEeEm3Ue0wYgQdiz2P0Y1rcPneQUmEySM8UVM9vVr3eda8B9b9vDRycpxx/FPj2y4bYiLEBlTelEqr3/7fVY8vAgtrPPxz3eSNzP7hp/b7wmQlBlPUlYCTVWX7g0hBBaLAUWRo6qH6zp4p+B/MBXowHtHznIn0657kBAMN9He/0PCWi9mtYRY2+N0DvwMXQ8QCDWgyAkk2J/DGzxNe993CWtu3L79xNk/g9kw+TSsruvU1XXw4o924B64PtfT6w3w4o92kJkdT0HB6Cz1y89fOXCUEudCMiyRCa2y/wgXPWdJM+cjhCDLWkKOdfolG2h0nGocOjr+sBuXmkiTt2ZY5yDDUkShfTYCQawhmf5gNyFjkKDmx2VIwKI4sciOwdKpRtXAMaY55hPQfFgUO92BVtzhvlsWJLxfU0mbJ6LgGtI0KjrbebZs9gR7RSCEINmUgT1+I+oVMtNCCBKMqSyIW0tYD2GR7VhlO1bFToljDhb5t6Mz5UbC6wnwxo930t7ci6LKbHh0AebrkPWDKIIEXdfHfPht2XKKaSVpUbOCIymgNMz2rzDQ/RV0vWcyY70MIXS9H/T+6yTuImO0fgqD6U6EZEaW0wkHT17TkcJhLUKiGaeer2kREY+hVNgQYTFyfSa/co+0c+pR1caGUJScgO/y1j0dfMEg51s7qe3o5lMLZ5EW4xj7ALcCAu754h2898OP+cU33kAA0xYUsPHZVVM+dMX+SvJmZiHJMrIi0dXSw7mD1eSUZZCcnUjh3Fz2vXuEuopGZl9R2nA4LBiNSpRBgk53t2fK472doOsanQM/x2KYid20nLa+b+P2HyQc7kJIFlJcf0Fb33dw+w/gMK8naGlBw0ec7clrLjd4PAF+8uJO6mo7rutnaW7u4Scv7uBP/vRuHE7zuL8nTQ8jX+ZwKwuVsBaKeE4gYZZHlkU1Pczeznfo8rcSZ0zBHepFGwwQBAKTbEUSErquIwmBjoZVcVDkmMsHzS8SY0jCZUgg0ZgxWPcP0OCppC8Y4ScVOeZilG6d0ZNFVbEbIhOTLASfnl5OUZRZhMg+Cg51dG0cSUjYlJEiRUPZmf/XEPAHCQbCqAYZXYfmi528+/Jedrx7DIBps7JYcsf06+ZfMWGQ0NXl5ut/+8aohKWWlmuzdVaNy7E4voan7+8ik/0thQGj5WHMtq8gpIiEqKyWgu/9azra7t3nSUx0UFw89gq8vr6Tc+eaueOOyGTj9QR4660jJCe7WLnq6vLERHC7/dRe6KCkNPqA7c6ZRWwsG5nS09HxBkL8bM9Raju6MUZZm71ZEEIQk+Tk8T+/j6A/CAhUozKu1Wu0eO+HH0dIT7E27v78On79rbeJSXax/93DPPqn9+Hz+PEPtte11LaRNzNreF+ny4LRqDIQxYpW03Q6Okbe85quc6ymiYLUeFRZ4kRdM+lxLpJdNs42tpPotOGymjjX2E57rxuLycC09ETs5sgDuaGjF38ohElVqG7pRFVkSjKScFpMBIIhTte30ufxkxbnuCGSibruIxCqI872JLIcg8lQgj9YCULCrE5HllyYDEUEQhevy/lCwTBvvn6Y3bvOR1XmkCRBaloMjQ3dUW1/8EANv3plH59+dsWYgnFCCLKtpVQNHCXVnEdYD9LsrWZJwr1jBj5hPURl31EWxd9NmqWAEz3bR5CxR9tLEjK+sJdC+xxmuVaiSgZkoaKjkWMrQxUGZrpWoKMT0LxY5FsX2K/MzLll5/5/CeeO1/PPf/TyIIFSx+cJ4PNEbBMSUl0880cbiE28fvdBVLPAzFmZ3HXXrKtef+ml3dd0UiFUjJYH0fV+vP3/jq73XdNxpo5IgGCx/ymSdCkIUpTJTdS6rlNX28GhgzU0NfWwavU0Tp6o58yZRpKSnMwqz+TE8XqWLiti546zxMXZOHOqgd5uD2UzMigqTmF6WTod7f3ouk5rSy/79lUhEKxaU4Ljsl7eixc7OX6sDr8/iCxJrFg1jdOnGhkY8FFSmsqFmnYOHqhB13XmzM3BZjeze+c5ZFli1ZoSnM5IIKRI0qii3AZF4b7ZJTzzg1e52NFDWcb4adebCV3XObLlJAHfyF54m8tK2bLJB1eXQ5Il1n96JQPdbg59GNFA//w37+GTV3bTXNOKkCWCviBxqTGYbSNXay6nGWOUHvaaptHW2jvCVU7XdV7afoQnV5RjNRn55hs72FBexMNLZvCjLQf5zJq5bD1RxUfHK8mIc9LZ7yHJZePLdy3BaTGx+2wtuyoukOyyI0mCYEgj3m7FZjLw6p4TfHj0PPkp8XgDQRo6ry2wHw9CGJAkO6FwG6qcSCjchSK5CIU7CGntQIhwuAdJsg9uL4MWAl1DR5pUKU3XdY4cqeX11w9F7SORn5/El35/HT/+0Q6OHq2bcPtQSOOdt49SOj2DhYvyx8wKlrmWMhDq4aOWn0ayWs6FZFoi8sBGyYQiRtbJFaEy3bWEYz2fcLb/APGGNOINqQgEqmREu4wsbZTMKMJAWA+jo3G27yBN3moMkolS5yJyrGUsiN3Iga4P+LDlpxG3TFMecYZU4LdDav13uDbomo7X7cfT7488R6RIh1VGbgJP/eF6ppVfX/LqhE82l8vCw48swGq9ur5xxx1lUxAgMWCyfgZJSsbT/89o4Yl/vNcTQorBbPt9TJYnEZKZy+N4Wc0HTEB0hjHhsMbRo7XMX5DH0SN19PZ6uVjXwX33z+XDD09SU9NOU2M3oNNQ34XDYSYp2cWq1SV89NFJcnIvpeQ0TWfPnkrCIY2+Pi/VVa2Uz84efr+/34vBoOD3B7E7zLQ091BQmMSunefRdeju8WCxGikuTuX8+WbyC5KRJEF2TkLUsrNGRabf58cTuLGEwMlC13WObz/NQHekO8XnCVB97ALzNpRPOUhISI+js6mb/q4BTu2uYKDbg8/tQx8kSQa9ASRJQjUqKFe0PMbF23E4zDQ19UTxGaCpqQe/LzgsciIQpMc5aekZQJY8lGYkUdveTVvvAL5gCG8gxOv7TvG/HllDcXoi3kCQP37xXbadrObe+SXo6LR09/PVe5aTmeACQBKC+o5ePjh6ni9uWMiCwkw6+z0895+vTuk6jQohE2t9iM6BX6AqKYTCrcQ4/hB/sIoB3y5C4Xb8oWqSnP8fAEY1n46+F9DRcJrXY1Cil+1tbenl+9/bSldndO6lNpuRZz+7ktLp6Tz3uVV8/W9fp6V54kBpYMDPCz/YRkqqi+zs+FEfuibJysrER9AHJ3cJaTgzsDb5U1yZGxBIzI9dz9zYdcP/Bx2BxLzY9Vye5lmX/BQguOA+Rae/iTtSnkIVRlp8texqf4M0cz4ONY41SU8Mn18gTblb5HcAWRasfWAufT0ezFYDDleUJlU3CRl5iTzz1Q10tPQS8IWw2IxkFyYza3EBtglKZNeCCYMEWZZGDRAg4px2rYh8EAMG891IShbegW8T8u9C12+0dbERxTAHs+33UI2LEeLqiVMIG7KSQTg0NrFvxPYIVEWmp8eDzxdEUSRkWaKzyx3Rz7Ya8foCtLb20T04wfl9Qbq73SiKRDis0dvjpa/Ph88XxGo1EgppZOckkJ1zdU3PZFIJBsOoqkRY0+nr9eJx++nv9yFJAofdFEmT6pCc5CTgD3L0SB3xCXbS0yM1P7c/gD90tZxwIBTm7WMVmA0qFuPttSIRQvDMXz8y/P9QMMyZPec4uvXUlI+99snlbP7ZDlSDwsbn1tBW18F//9FPMVmMPP7n99HT0UdrXTv9XW5Uw8jrYjAoZGUncPZsc1Tnam/ro7fPeylIEFCQGk9NSycIKMtK5kBlPc1dfdhMBvq9PoJhjfyUeGRJwmo0DG8fHuxQyU2KI9llH9GN0tnvweMPMC09CVmSiHdYSY65/qQ2gcBiKEdxxBPW+1HlJBQpHoSE03wHBjWPGOkBVDkiVmRWp5Hk/Aph3YMsuaI6h67ruN1+XvrZbmovRMdDUFWZ++6fy6xZEZfVwsJkHntsEf/17c1R8Ufq6jr4yYs7+NM/v3vU1k8hxOCkfHVKThpFKjnyzBPIo2x/+eQeOa48TFD0hd30BNoRSDR6KokxJKFIhnHP/9uEsKbRMeAh1mpGlW99i6GsyDz5lTtu9TDGREyCnU1PLhl3mx6PF12HGOvUeRtRERfHKuO9995xvvTldVOSMxVCRlFnYo/5NgHfR/g9rxD07wOuNwNcQlFnYTDfj9HyIEKMI5oiLEhyTtRBgiQLFizM59SpBlJSXeTlJZGWHsu5s01Mm5ZKQWEy/f0+Ks40snBxPimpLtxuP/X1nSxbVkQwGMbrDWAwKPT0uFm0uIATxy/S2+tBuaLenpjowG4z4Q+EMBgUjEaF6qo24uJsNDd1k5joIDbGitNpobAomQG3j+bmHnLzEom9zMb6pb3H2HHuwlWfpdfjo7G7l3WlBWTFuaK+ujcLkiwNL7gMRglXkouW2vYpHzcpM55Nn19Lb2ek5OOMtzNtUQEJabEYLUYSMuIoKB+75lpUlMyHH0RnttPY2E1Hez+JiZcsZdPjXByorEcSgmUluRy70MTZxnZSYh2YDSraIDl1CIFgCJvZyNBqVVWkq9LisiSQhCA05MSnQzB0YySkhZAxqtlXvoosxWAxTL9iWxWjOnlZ4Q8/OMnHW05H3W45qzyLBx6aN9zbLssSa9dN59TpBj7ePPFxdB327qni7beO8sCD86I2tLueyLaWIgmJZu8FdHQyrEXkWWcicesn0+uFfl+Af/5oB3+4egkZsTfXQfFWQ9d1mnr7SXHar6tPzq8On8IfCvH7q642F5ssJgwSero9/NM33sHuuJo129zcM+UBwFCEbcJg2oRqXEE4dJ6A5y1CwSOEw02DNs6TN9ERwoEkJyMrxRgt96GocxCSK1ITHXc/M6pxCbo+dlpSCBuS5Bwef0Kig1WrR1rNZlwm+Tln7sgJJvkKkaW160Y+SJcuG920KCHhakLKlccagnMwTTZaT77VoBJjufI7FaQ67Tw4dzr3lE/DfpvJMuu6zgtf+wX9XZFsk67pdDZ3s/DuORPsOTH2vnOID3/8CRb7pXTdHc+sIKMwuhbQwuIUVDW6Nki320/FmUvtw0II4h0WPP4AqiyTFusgI8HFgcqLbJpXQk5SLCkxdt45VMHi4iw6+z1UNLTzufXzx1XFTI11EO+w8v6Rc6yZkc/F9h5aem50pu4SEuyfRxJTv4d0XefkiXp++Yu9BALRPQeSkpw8+9yKYQ7OEExmlWeeWcaFmjaqq9omPE4oFOZXv9xHTk4C8+bn3lShIiEEilDJtc0g1zbjpp33ZsNhMvC1DStxmm+v583NQLfHywu7D/Fn65djnII43o3EhKMKaxq5uQnctWnWVe+9/PO913UwQgiEcCIZ5qGqc9H0HsLBc2jhekKhKrRQHZrWihZuR9fdoPvRCSEwIiQzQliR5BQkORNZyUVW8pCVIiQ5ZcLAYOQ4FMy25zDbnruun+92wpOLy3lycfmtHsakIIRg7h0zh4mLQgicCQ5yyjKnfOwjW07y3N8/QUZx6jVNBImJTnJyEjh/Pjp9jb17q7jvgbnDq9w4e6RdzmU1E2Mzk58cz8fHq8iMd5HotPG5Oxbw4seH+PDYeQRw97xi5uVnRCYSSRo1TRtnt/D0qjn8cPMBdlXUkp0YQ0lGYlRy250+N7X93cxJmJzNr67ruEMBTLKKIrtGvBfSwvjDIazq5CaDjo4BXvjh9qh5CCaTyuOfWkReftJV7wkhSEl18dTTy/jmP78TVUdKT4+HH7+4g8yseJKSHDc1UPhtwuaKKhRJUNnWRb/Pz53TCylOTkAIwVvHK8iMdXG8oZmWvgHumJZPeWYqZ1vaefN4BW5/gP9v7RJiLJH0+MWuHn667yiaHmHw24xGnpg/k2SHjbZ+N2+fqKDT7WFWRiqrCnMwjDPBhjWNA7UN7K25SJ/Xj6brLMhJZ3pqElvP1fDUwnIUSeJ0Uytnmtt4aPZ0WvoG2FJRRUNPH7EWM3fPKCbVaSekafzm6BmKkuLZXV1HKKxx78xpZMa5ON3UyvbKWvp9fgoS49hYWojZoPL2ibO4zCaONzSj6TrrpuUzLSWRM81tvHbkFNsrawlrGlaDgYdmTycnPoZ+n5+3T56lvquXouQE1k3Lx2pQCWka+y7Us7fmInajkU0ziklzRRaOxxta2HK2ijirhW6PF4vh+pSLoyIuPvLYQlyjkDdWrym5cc5pQiCJGCTjQnR9AQbCQBj0MKChR6x1Bv8M1eYECBmQASXy2u9+0LcGk2SsR3dIQfnq6cOmTvpg3eF6kLUyilKp2F+JrEgog1wMR4wVsz26mp7TaWZ6WQaVlS1RKS9WV7dy7lwzpaWRSdhsUPi7x9cjJIEsSSwryWF+QQYmg4IQghnZKfzj0xsJhTUkITAZLqlh3jO/lLvmTsNwhWSsEIIFhZnMzE4hrOkYlEidezwVzbCucbqrhTafmx6/F7MSKXXEm6z4wkHavW6SLZHUaI/fS5zJgkFSiDVFng/dAS+/rjlBWWwyhc4EegI+HKoJbzhIdV8H9QM9bMgoJtEcnQeEzxfkZz/dxelT9VFtLwSsWl3Chg0zxtUcWbAwj/sfmMfLP98TVZdE5fkWfvyj7fzBV9ZjGYOjdbtiUt0jU+iRPVTbQEVLO08vLKfL4+Wbm3fxN5vWkB7jZHd1HR9VVLKprJi8hNjhLGVOfAybyor5q7c24/EHhoOEBJuVR+aUoek6u6rqONvahklV6Pb4+McPtjM9NYmFOZm8evgkvmCQe2eWjDmu2s4eXth9iC8sm09VeycfnaniD9cspqG7j51VtXxq/iyQoLGnjwO1DTw0ezpufwCzQWV1US7bztXw/Z0H+IsNKxEC3j5RwYk4FxtKCtEBo6oggI5+NwWJcZhVhRf3HMGsqmwsLeTjs9UM+Pw8tbCc5t5+vrV5F//04AbSXA4W52VxurmNh+eUYVIVkp02PIEg//rxHuwmA8vys3n35Dlaevv5wvL5fHy2mjeOVfDY3DIae/r4h/c/4W82rcUfCvEvW3Zxz8xpWFSVD06fZ0le1pjXZDKYMEhQFBmXy4Ku63i9AbzeIPpgbTRnFFLdjUDkJlcifwbv999N/bc3FCX61rZo6+S6rnP2QBUf/eQTetojbbNaSCNzWhrP/cMT1zxWiDg9fvzzXex9+9Bw98Kdz61m9tro0ryKIjNjVibvv3ccbxR2xe4BP9s/qaCgIBnDYCBgvowoqsgSinyJVCuEwDzGyiASHIyeKZOEwGKMXrK20d3L0c5G4owRFbs3ak9yd2YpspAIahptvgGOdzXhNJio6evEZbSwLq1gOEjQdfCGgqiSjECwq+UCXT4PD+bOwBsKIhBXWZKPhXBYY+vHp9n28emoJa8Li1J49LGFV1mzXw4hIo629z8wlxMnLnL82MT6DZqm88knFZSUpHHXpvLr5glwM6Ao0Y1VJ0IGvlbowIKcDFYX5xHWNLafv8CFjm7SXA40XWduVjrrSgpG1N6NikKS04bpCpdIs0GlIDGeyrYOTje18nsrFhBjMbO35iKdA242lBZgVBTm52TwybkL3F1WPGbw29Lbj8tspiQ1EafFxNZzNZExXHEbXrrFBDnxMSQ6bMPPpu/vPDisRRLSNDaWFrEkL/OyNmZYkp+NJxAgGNaYlZFCbWf34Hs6d5YVsbIwh26Pl/dPncPjD5AVF0NGjBOLqpKfEIdpUJempqOLk40t/N09a4m3Wen1+Xj5wHGeXzqXzRVVLMrNoCQ1kez4GN48UUFjTy/13b2kOO3cP6sESQhONLZct/Vx1EWQ3l4PP35xJ01N3YRCGn5fkMyseP70z+66PiP5LYWu63R0DRAfa7vt0pBhTWPP0QsU5SSSGDs1Vruu61RdbMfnD1FakDIhyUZVlagVvzxuP6GQNqF5iq7pvP4f71M0Px9XohOzzYS710vqKGnlyeLB/+9uHvjKpXs56A8SDk/ugTlnTjapaTFUV01sYKZpOtu2VrBhw0xy8xInPd4bhR6/jySznSxbDKe7WzHLKmWxybhDAd6vr0USgt6AD18oRL4jnkMdDSSYLsni2lQDiWYb2bZYXEYzdtVIk7uXZLONDosdk6wQZ4pORreysoUf/2gHHs/EQReAzWbi2edWkB6l853Daeb5z67k63/7Bq2tE2u1BANhfv7SHjKz45k5M/OG/951XWdgwI/dPjUVxahNfvQIX2ZIvXWykITAajQgCYEmBGZVHe6gUmWZeKtlUuS8tv4BfrTnMI/OLSM/McLv8gaCtPQN8C9bdgECXdfJTYhF0/UxqZzTUhJ4+WCQ/9y2F18wxIKcDBxmE3T3jhAXC4bDkfIGOu+dOs+emovYDCp9vgChy7JNVoOK02wc8f33+/y8tP8oLX0DGFWFiuY25mVHsoQGRSbWYh4sp0f+aOMEvcFQmC63h//evh9FltHRKUiMI6zpdLk9fFRRxfGGSFkzxWHHpKq4/UEsBsNwoGQ3GdGuk4V91EFCd5cbp9PCgoV5eL1B8vIS2fzR1FvPftvR0+fllbcP88WnliPLt1eQoIV13t52EptlzpSDBIDj5xrp6vFQkp88YTnBbFajNocKBsN0dQ1EZXqk6zorHlrI2QNVaJpG8bx8fv4Pv2H9MyujOtdox4MI8/3yp8zFigaaqltZev/8qI9lNhtYs7aUmuq2qEooXZ0DvPbqAf7g/9sQtRjTjUauI5Z9bXV0+Nwkme14TBGuREQmOKIOmWpxENI0chyx9AZ8yNKlC6dKMnEmC1saz1Men4YsBCtS8zjR1UyyxcGO5hpSrU6KXWMHRrqu09kxwIsvbKczSh6Cosjc98AcZk1CSEYIQWFRKo8+tojv/vcWAoGJg8KOjn5e+MEn/PXfPhiVbXZPrwevN4AQgrhYG319XjRdx2BQsFmNdPe4CYd1YlwWNE2np9eDJAliY6z09fv44MMTrF1TSsIULKxt1uiDjN7B8Y7V9j4ewrpOZVsHHQNuAiGNjgE38baxHXt1PVLcCIU1NF0nqGmEtUg5bcAf4Ie7D1GekcKM9BQC4TCqJJPqcpAVF8PzS+cRZ7UQCIcxKnJEHG4MmFUVi0FlVnoq+YmxpLocSINBTCAcpq1/AKvRQEVzO4FQmLCm8caxM9w3axpL8rLYU3ORXx8ef65r6O5lZ1Utf3fPOuwmI9/Zvm/kBmN8daosoek6PV4vds2IUVFwWkzkJcTxxPxZ5MTHENI0BBH9mhnpKSiSxIPlpUhC4A+FSXbY6PZ42Xa+mubePgyyQmVbJ7nx18dELuonk6zISJLA6bBw/lwNKclO2tr6hn21x8PlD8zRbpjJukmOex59kKUghl6LfD9Dq1pd1+nscbPnUA1tHf3ExVhZNj8fTdPZf6yWO1eVIssSNXXtXKjvZPWSIgLBMIdO1HG+phWDQWH29EyKchM5X9PGh9vPsPfIBWRZwmI2cMeyaSQnOujt9/LJ3vN093qYlp/M7LJMvL4g+45cQNM07DYTkhA0tfWyfkUJNouRxtZedh+sxh8IMm9mNsV5SQghOHq6HlWW6Or1UFXbzrT8ZBbOzpnU9RpqnxMicp2HfqBcdu0vVwC88r3RrvXlHu1Xwum0RN0yFgyGqavtmDhIEBCT6KS7rZeE9Fje++FWOpu6CfquXfTp2Cen8bv9+Nx+6s81Db/e3tBJ0bz8cfYcHQsX5vPOW0dpauqOavudO89RPjeb1aujcx680bCpRj5bvOCq182yytMFV3eRlMeNNHgTwLq0S3Lfhc6RJcmvTF824RjCYY1fvbKPo0eiF1ibPTuL++6fO2krX0WRWL+xjBMn69m+7UxUZY2KM0384uU9PP/ZlRiN6riT4OtvHiE5ycmZikaefWYZL7+yj2nFqWSkx2AwqOw/UI2iSGRmxJGVGceZiibOV7Zw793ldHYNcOZsM1lZ8cTF2q55ERIfHx3/A6C9vZ/eXs81BQmKELT0DvCtzbtoH3AzLzudouR4YOg5MXL7sKbz4ZlK9tTU0dDTy3c+2Ud6jJPPL5/PwdoGtlRU0e1O40RjKzajgcfmllGQGMc9M4r57o4DGOSI++rG0kJWF+eNOS5N1+nx+NhTU0dFSxtpLgdrp+WT7nIwPzudv3l3K3EWM4hIQCEJwfzsdN4/dZ5DdY2YVJV4+6Xs1yV9iktIsFvJinXxvZ0HsBmN+ENhzIMllCu3vzybkuywMz01ib99ZytJTjvPLCwnM9bFM4vKeeXwCeRBca6FORk8MLuUR+aU8YNdB/nm5p0REq7DzrNL5jAnM5Xt5y/wV299TJLdijLY/nw9EHWQkJhgZ/mKYpKTnFRWtvD664dYsrQourqHDueP15GYFkNM4tV9sO2NXUiSRPx1sM/d8eYhWi928MDv3UE4HOb9n+7Eajez7vHFAPT1+/jmdzeTmRZLaWEqbo+fsKbR1e1m6+6zbFhRgizDxaZudh+qZvWSIg4cq+WDT06zYWUJvf0+evu8gCAuxkpuVjynzjWxsDwHg0HGYTfR1+/j2z/+hOQEJ9kZcby37TQt7X3Mm5nNb94/yvoVJbz67hEWlufQ3NZHnMtKaWEq//7CVuaUZRLrtPLCL3bz/BNLKM5L5vS5Jo6ermdheQ45GXGT7tfedrCS1z8+QTiscd+aGcwpycQfDPHTN/dT39KNzx9idkkGD68vR1VkWjr6eOWDI7R09CEJiRXz8rljcfHw8TRN5/CZi3y45yyffWgxyfFXt2XGxtkwGKIbp98f4tTJBuYvyBu31iuE4JE/uQeby4qsypQsKqRifyWbvnjtwicJaXEE/UHe/M6HzF0/c7iWbbIaJ22QIoQgLT2WtXdM56Wf7hqhazAW3G4/L/zgE1JTY5g27do6K643RhvDZFbnU0E4rLFj+1nee/d41LLLiYkOnn1+5ajk6mhgNKo8/cxSGuo7qaqcuFSk6zofvH+C3NxENt45c9xtZVnQP+BjzaoSzGYDTqeFRQvzsJgN7NxdyYXadtLSYgiGwlys76Kza4CW1j4CwTCFBcmkp8WweGH+lK5rUnL02gNNjd00NXaTkuKa9DmFECwryOau6UVouo7TbBqus//JumVXtfjJkmBxXiblGSl8acVCIDKBqrLMgpwMfv7sJeE0SRLEWMzIksRdZUUsyc8iEAqjSBKOcVonNV3n1SOnKEqOZ15WOkLAR2eqcAeCPL2gnM8tm0ev148QYDEYCIXDSELwzKLZ9Hojirs2o4FgWMNuNCIE/NP9G65qD4+3WfjLO1fh9gf49vmPeSJnLrn2BISAv9y4EvPgdXCajHzzoY24zJHsjsVg4MurFtHn80XcP61mJCFYnJdFaWoSvmAIWRIYVJkfVe3k7vSZ/Okdy9jSUEFVfxvPFs7FYTIhgK+sXkyvz4ciSde1nTLqIymqQnKyE5NJ5Z57Z3PnXTPx+yP1pppT9VQcrEFHZ/4dMwgHwxzeehqTxcDiu2fT1dLD+SMXiEt24u7zsve9Y3gGfMQmO5mxuJB3XtxOMBBiyV3l5Jams/OtI/h9AeauLiU151JaUtd1ulp62fv+McJhjfWfWkLFwRounGkgLS+J+evKKJmfN0hq0zGaDExfWMCF0w3Dxzh1vgmE4KkHF2C/LA3XNaiEOBokScLnCyJJEisXFmAxG5EkQUKcnbzMBOw2E2XT0lDkiIPb6fPNtHb089XPrsViNhDrtPDzNw5SVpxGjNPCioWFHD1Vz6I5uZyrbqWje4D9Ry/gsJm4a810ZEmiuq6dfUcuUJSbhA7Ex9i4f8OsSa+UPL4gBkXhcw8voaK6hZfePkhRdiIWs5GFM7K5a3kpXb0evvPLnSyamUNKgoOfvXUAh83MFx+NrPqMl8sQCzh4qo4Pdp7h6XsWkBQ3ehnD5bLgirFGVevVdZ1jx+ro6nITHz82t0MIQXzaJZe49Z9eyfpPr4z+YoyC9MIUAFY/voTSJcXDQUpqXjLt9Z2TPp6iSNx510w+3nyKxsbosgltrX185z8385WvbiA/P+m2CBTg2txFp3q+2gvt/Ownu6Iif0KkxPP4pxaTm5d4zWMUQpCVFc+TTy3hG//4Nj7vxJkpryfAyy/tobAwhbz80c8dCmkEAmEMqkZrWx+5OQkYDfJwvT8/L5GGxi6MBoWUZCdV1W34fSGcDhPKoDhWOKzx3gcn2HBH2TWTJZOTnZjNKt4oPpfPF2Tvnkpmz8me9PXUiXjCJNiv5py4LFd3CQkRmfhjRnnPajRgHYNwK0sScdboAkJd16lp7yIjxkmyw0b/oNKsSYmQ4I2KgssqMAyWzAKaFMlES+CymtB0DVWSsRhUdMCvhbCYFBCR1syAFimDSEJgNMhYjFYUg0BSBLIsCOnacEDgD4fQdA27OcId0HWdsK4hJB2nxYhBVpAQBMIhhACTQcZuMiALCW84SHlsJnbVhEUx4LSasIRUDKpEQAthlBTMBhWDIhPQQhFyrnR9AoWoj9LU1M2O7Wd59LGFqKqM2x3gFy/v5fNfWE1rfRcWh5m4ZBfHd5zF5/FTujCfxqpWzh2+wPRFBciKhLvXiyxLVJ+6yFN/fi+v/ddHlC0qpHBWNgaTQtHsHPq73XS391EwMxNX/MgJSNd1tr12gHlrp5OUGYfBpGJ3Wcmelsb21w8yf13ZGKO/hO5eDy67CYtpfMZ3KKwNlkEEC8qzsVkMfLz7LG9vOcmmtWUsnJ0zZs3d5w9iNqrDP2qnw0woFMbrCyLLEqoiYTKrqIMlnFBIo6fPS0VVC9/49odARB45My02YuABJMbbJx0gABgNMgtmZJGW6MRkUHj1w6O4vUFsFhM2q5ELjV14/QHCYY2+AS8GVabqYgdf/4O7SbwsABgqCVXWtbHrSA1/9Mwq8jJH17SHSORfWJjMuSilis+fa2bv7vNsujc6//nrjelLi0d8lvTCFNLyr83cKi7OzsOPLuC73/kYX5SlkIqKJv7x79/iD76ynull6df0XV9P9PZ4OH26gZrqNh54aN6ossTXG/39Pn7w/W1cvBh9cLZq9TQ2bBy/3TFazF+Qz/33z+XVX+0nFJo4i9Hc3MP3v7eVP/uLTcTGXl17b23rxWY1kpUZR93FTkJhjQfum4OiyJFUcbKTh+6fi6bpqKpMZkZc5LwCDKqCEPD8sytAvzYi4RBsdhNp6bFRZUkAtn9ylo13zSJ/koTg0pTEUSf8WwlJCL6wfD5vnzjLK4dPYlQU1hTnsaIwBwH0h3x88/QHfLVkPU7VzN+eeIvPFSznW2c+IsMaS0/AQ4Y1lufzl3Giu4F3Go8jgHx7Eo9mz+efTr3H03mLybbF851z21iVVEQgHOL1i0cIaWEcBjNfKFxJf9DHDyt3oAOxBitP5i7CKCv8uHoXTZ5eVEnmsez5xBqtfOvMhxQ5kqkb6OTu9JmUutL4dd0hPmw+xT+VP4xVifwWT3Y38G8VmxkI+Xk8ewEFjiTebjjGud4WdF1nbWoJC+Lzplx2iDpICAXDhMPa8M1qMMj09Xkjb+o6AV+QoD+IpEjIqhz5fyCEJEsEAyEC/hCefi82pwVnnB2zxYhqVNA1DdWoEPCFCIfC2GOszFlVwrnDFxBCMHvlyP5XSZYI+IP4vUH83gD7N59g2txcAr4gmqbj6ffh8wTwDvix2AWefi8+d8Tm12BSyUyNZcvOChpbe0iKdxAOa6iqjMGgEAyF6RvwYTap1NZ3EgiGAZ1gMEx+TiL52QnsOVTDB9tOU16agcVsQJYlwpqG1xfAqCooikSMw4LHG6Crx02M00JVbTt2mwm7bWwCUVZ6LPnZCXzuiaUYjSqhUBir5RKD9lq/5qHV4ODXFDmWgP0na3lr20nml2Xhspsv8RAGa4djMWODIY3Z09L55FAVxbnJI7MMV2DmzCzeeftoVHVeTdP5zWsHKSlNH3NldiPxxn9+wD1fvAPFoERWHycu4u71MHPF2P3XY0GSBKtWl3D82EW2bT0T9X51tR184x/e4qGH57N+4wxsNtNNWsFH3Cm93gBtbX3s2nmOw4cuUFPTRny8nXvum7qi5UQIBEK88ZtDk+IhFBYm8+hjizAMfmdBPYAqDNd8zYxGhQcfns/pUw2cOBGdLsOxo3X85tcH+cxzy68K7JKTnCyYl0sopJGVFU+MyzJibEOtmJfjymOM9/uKFjabiYKC5KiDhJ4eDy+/tIc/+ModuGKi60QBuHtG8cQb3WQIIUh1Ofj88tEJyLoeWeEPLYL8WhANnf6gl1VJRRQ4kvmbE2/S6R+goq+ZLGscd6XNGGzxHdxe1wb3DREeJMHNjs1kWVIh/16xhXO9LYT0CCn2+fxlmGQVm2pkX3s13X4Pf1SyHkVIGGSF3qCXDl8/T+cu5pHseShCQpUUHs6aS1V/G9pl7Rg2xcjvF6/lZE8D7zWe4C5mcKq7kSdzF9Hh7+eNi0eZ7krHrk6tOybqO9DhNNPS3Mv2TyqIj7dz+nQjcXE2hIhM3C0X25FkwZxVpWhhjaM7KjCaDBSVZ1N3vhl0naYL7SSkx1I8JxcEFM/OwWg2kDc9g0NbT1N3rpnU7ATOH63FaDGQOZgKHoIQglUPzefg5pPUnKxn6T1zyJ6WRk97P4vunIUW1qg924hqVKitaCSrOJWmC+2ENY3G6layS9Ipzk+itDCV7/xkOzEuK6oicc+6GaQmuSjOS+ab39tMrMtCv9uPqsroOuzYX8m+IzVYzAb6B/wsKM8e/nGnJDpJTXTyre9tISXRwb13zCQzLZY1S4v5jx9tw2410e/28dg9c8dl4C4oz6GisoUXfrkHs1mNqOqtncG0a1zNDiEY0th+qIrEWBunKpuxWYxYzQbO17bhsptZOCObyrp2woOBRJzTSn5mAr/64Ah3Li+NPNR0ndyMCAFpWm4yj22czQ9+vYdXPjjCYxtnY1BHv43yChJJTHTS2tob1Vjr67v4t399n6/+8Z3k5t6ctkB9UNGtrqKBcCiMpES8IRrON+P3+q8pSACwWo18+jPLqaxsoaG+K+r92tv7+f73trFr93nuvXcOc+flYrMZb0iwoOs6PT0eqipbOFvRzLFjdZytaBqZ/Ygbe//riQP7qwdX8NG1ndrtJp59fiVp6REeU0Dzs6dzM0vjN6CKa1eac7ksPDfYFtne3j/h9uGwxjtvH6GgMInlK4pHkE8VRb5pWjLjwWBQKJuRwccfnybgn1jWWtd1dmyvwOky85lnV4ywqv+fjqHFUazRRro1FodqwiApeMNB1iRP45XaA/zXua2sSi5mWWLhiH31wWBBFTKZ1jjsiokUs5NWXy+rkos509vMf5/fxoyYDO5On8lFdxcFjiSchpHX16aayLUlYJDHn54zrLFYFAMZllj6gl7a/f2c72/l9fojSAimx6RfFz2hqIOE2FgrDz+6gB3bKzh9upG0tFjW3RHxG7C5LMxdPZ3SBZfY4OseWzz876LybIrKs4f/H58S+WHPWh6x9zXbTGx4cunw+3d9esWoYxBCEJPg4I4nLjlgLblrpLTwivvmjfj/5ceFyBf49IMLaO8awB8IYTQoJMbZMRgUPv3IIto7ByJOijYTgWCkNrRkbi5FeUmEwxpmo0p8nG3YeMluM/GFp5bT2e1GkaVI4KHK3L2mjHkzswgEQjjsZmJdFsJhnS9/eiVWi5HnH1uC024mOdEJuo5BlXnmoYW0dw0QCIYwm1TiBw2Z7lozHS06DtcVFwxmFKbhsJn42VsHEZLg2QcWYrUYWbuoiJ+9dZDv/Wo3JXnJLJ6Vg9moYjKqfPq+hby2+Rg/fmMfqiKzYl4BuRnxOO0RS2271chT98znxdf3UlnXTml+ytWnFoLERCczZ2Xy0Ycnox5yxZkm/vHrb/L4pxYzd14udvvUV9ND2ZRAIIQsSyNWb1pI48f/5xWObT3FPz75n4hBBrnZauKRP73nms8phCA1zcXnPr+a//i3D+nomHjCGUI4rHHyeD3Vla2kZ8SxfEUx5bOzSEhwYLUaMRqVqK+JruuEwxp+fwifN4Db46ezY4CKiiYqzjRysa6T3l4PAwP+qJUvryd0XR90W9wZtR6Cokjcd/9cymdH2h2DWoBtbe9wsvcgHf42CuylzHQuoM5TybGefQgkZroWkGXJ562ml7CrLroC7ZQ6ZlNkn4EkLk3sQgiKp6Xy6GML+f73tkXlFTEw4OfFH+0gO3t019ZbDSEEc+fmDJrA9US1j67De+8co7Wll6eeWUpOTuKk7ruxj6sTCmkEgyGMl5VkbxWGqjjecBCvtxd3yD/4+qDx9lDHF+BQTTxfsJwzPU28UnuAxQn5GCSFvqCP3oCHdl8/OjohPUyzt4c8ewId/n5mxGQAgoez5tLm6+M757YxLy6HJJOD4z31eEOByPkG70NBdBygZm8v/nCINl8fFsVIjMFKoT2JzxaswCKrhHQNixy9kNpYiDpIkCSJnJx4cnIutTANfZCS+aO3n0y2tXEo5R1NDeVa2yaFEBiNKukpV3dS2CxGbKPUXm1W05i9xkKA024enEAvQVXlq84hSZHMA0DSYEeA6TKVPZNJJWOUDo8YZ/QpvxFjUGSef+hqFzAhBKkJTv7subWj7hcfY+Xzjyy5ap+1C4uG/50UZ+fPnls37vlNJpWVq6axY/vZqGvzADU17fzzN95h9pxs5s3PY+asTNLSYi7r6hj6zi9NarrOoCpokL4+L329Hnp6PHR3uenqHqCry81Av491d0xn3mX3q6RIfPpvHyUUDHPflzagGCK1YKvLimEKVugQ+c0sXlJAb4+H7/zXlqjJeEPweAKcP9fM+XPNmEwq2dnxpKXHkpoWQ3ycHVesBYvFiEGVkSSJcDgcETrzh3APWof39Xro7Bygu9tNR3s/zS099PV6p/S5rie83iA/fnEnFy5MbLY0hNmzc7j3/jnDqXlFqCyIW8lAuJd7U59CESohPciezi3ckfQAQS3Ajo4PSDdn0xFoZbpzLtMdc9ja9jY51kJM8kgSnKLIbLxrFidO1LNj+9moxtRQ38WPX9zBV//4zusS2F6OU3vPU1iejWECHtV4iI2zsWxZEb96ZX/U+4RCGvv3VXPubDPzF+SxYGE+xdNSiI+3D5adL/+MI3+LWlhjwO2nr89Lb0/kt9jVFfkd9nS7EULw6OMLo9JGuZEwSipZtjh+WLUDm2LEJKtAJEAYwtB8tK3lLGd6mwhqGsXOiKDcvPgcflm7n0STA08ogCQkBILj3fUc7KxF13VKnClU9DTxcUsFOpBgtOFQTSxIyOVwVy3fOvMhJlnlnoxZxBptV81/TZ4e3m86ydm+Zn5xYR9LEgvQdR1fOMB/n99Gh6+fB7PmUORIJteewH+f24pBUpgZm8Ga5GlTlq2fVMFrPNb5aNB0nbqOHnITY0d9/0qEwhq/2n+CJxbPmvBHdrqhjfQ4J66rnAx/h8sx2e9sMvtE8yCcVZ7F3Hk57Np5fsJtL0cwGGb/vmoOH67FbDZgsxqJT7DjdFowGCJloHAojD8QwuuJrJAH+v0EgyHCYY1wWB+eNMNhDU3TURSZWbNH6pkLIZAVmU997QGsQy1013FBLYRg7R3T8fmD/OTHOxno913TcXy+IGfPNnP2bDNCCBRFQpYjDHghRR4DQ4HSEMcgcg20W5IhiAbBYJg33zjE3t3no5ZdTkx08NznRrY7jnZf+kJewlqYWEMifs1LIOwjrIdRhYE4QyKqZEBHI6yPnqIzGhWefmYZjY3dUSloAuzbW8Xrrx3iU08tjpp4OtDjprm2HZPFSFJmPC117fg9ASx2E6l5SbTUthP0R/hWoWCIhsoWwsEwKTmJEY6Xyxr5HXgDxCQ5x/1N3rGhjD17KidV/oIIR+GjD0+yfftZzCYVp9NCfIIdq9WIosromkYwGMbvC+Hx+Blw+4dVVCO/xcifyP/D6Hqk4+KeW0RSvhyqJPNs/jL6gz4Mg1LiFsXA18ruwjZYy/+z0juxKgYSTXbmx+ciiJQEBIJ1KaUsiM9FIFCEhElRybNvRELgDQexKAYssoESVxoZ1lh0GH4N4MtFaxgI+RGAw2BGFhJ/WXY3ymXZrXiTjfsyyrk7bWakVVM2oEgyc+Oy8YVDyEIM7/t49gL6gl50wKoYr4uvzZRZMR39bnacvRCRu8zPpMftpbqti9K0RHo9Pj44cZ4NMwoJaxqeQJDUGAf+YIj6zl5MBoUlhVl8fLoak6pQmBzPgD9AdWsn7kCQmZmRNLYvEGTrmRrcfj+yJLEwP5OT9c0ku2xUtXZy+EIjshCsLMnlQHU93kCIFdNyRghg/A7XjmAgRDAYHtfYRtd1Bvp82BwjV1EGg8L9D87jbEXzpFLuQwgFw/QHvfT3ea+bNflo6O9x88v/+yZdzT3IioQW0tjw7CrKlk2b8rENBoV77pmNJAQ//clOeqe4ktf1CJk2Glvq2xW6rkdIf68diqqTACIqno89sYjc3ISrJkNZKIS0EO7QAFbFhkWxYlas1HuqCethrIodWSgENB/1nhocqgtZqChi9EegEILsnHiefHIx3/jHt4fbvcdDMBjmjdcPUTo9jTlzJxY7CwVD7HzjEBabibqzjSzZNId3X/yEJZvmsPutQzzy1bvwefzse/coqblJDPR4OPbJaWKTXTRUtaCoMrHJLvp73JgtRmKSxtZDEEKQkRHHnXfN4kc/3B419+Ny+H1B/L4gPT0e6uo6Jr3/7QghBCZZHcwgXILTYLns35EssSLJw50FQ1CFTJxxpFjVUOuh7TLCoFFWMMpXt4ubFQNmZWSGyGUYmdkySMpV5wBAVrFdkew0yArxo5xnKphykOD2B+j3+VlbWsAbh0+j6TrFKQnsrbzIxpmFTEtNYHZ2Kq8eOIWma5xqaCHJaac4JSHSc1/TQG17N59bPR9ZCJq7+9lx9gIPL7hkrBMMa7j9AboGvFhNBoyqgkFR8AZCdA14sJuNJDpsnKxvobmnn6KUhKvELnRdp7Glh5MVjUCkHDC7LJNY180LJLp63Jw+14Sm6ZQWpQ5zDiYLrzfAroPV4/7QY1xWFs7Ouabja2GNc2eaCIfCZOTEc+JgLd1dAyxdXcLAgI/O9n4ysuIJhcL0dntQVBmTSWXLu8dZtKKI7IKk4bq/EIKysgwefXwh3/vu1ikZyNxIvP/CVvJnZnOg6Sgbn13NnjcPYpqEnO1EkBWJTffMJjbOxg++t5WmKGvD/1PR2tLL9777cdT2zwBr1k5n/fqyUSdfu+Jghms+Ozs+oMBWSpF9BqsS7+Zo9x4AlidsRBYyslDpDXXT4K1lSdxaDNLYga8QgoWLC7jn3jm8/puDUQUzfX1efvD9bSQmOsjIjBs3UAj6Q9Seric2yYk9xoqm6cSluChfVUrl0Qv4PAFySjNIHCQNdzZ3k5afTGZxKgc+PM789bM4tfsciipTWD7xb11RZO65dzYVpxvZtetc1Nmb/8lw9/uoPd9CZ1sfwUAIo0klJsFOVn4StkkQNnVdp7/Xw8XKNnq6Bgj4Q5gtBuKTnWTkJWIyT50bcKtwXdQWXBYzVqNKWNNQZRmbyciKaTkYVYWgphEYVLGKsVq42NGDQZHxBUNIUkRdy2JUsRoNBEJhzAYVk0Gl2+PFZjIOKzoaFBmjqmCU5QgRKxTC7Y/UeF1mE2ZVoXtAY+W0XA5daMDZYqIsY2RnwPEzjXzj2x8A4LCZ+Ie/uO+mBQluj58fvrybzTsi0q+rlxbxB8+umpSu+hB6+r38y/e3MOD2j7nNjGlp1xwkBINh9m0/x5yFeSiD19tkMqAaFNBhoM/L0QM1hEMarlgr2fmJg22WOpZBuenLIcsSGzbOoLGhm3ffOXpbroD9Hj/TlxZTdewCyTmJTF9azIVTFym4xmt4JSJlDcHSZUXEx9v58Ys7OH6sLupV9P8U6LqO2+3npZ/tpvZC9KvRvPwkHn184ZgPWyEkShzllDguEZnjDImsTbpvxHaKUJjlXIBNjU6FUFUVHnp4PufONXHieHRtkdVVbbz0s9189Y/vxDQOr8VoMbDo7tmcP3wBXYeYRAd2lxUBWBzm4XZzXdcRQpBblsnmn+/iwukGZiwtJikrnqPbTmF1mnHERWcwZzKpPPvZlfT2eTlxfGL3y/8p0HWd7/3929Seb2HW4nwefn4Fx/ZW8/qPd1Jztpn+Hg/hkIZqkLE5zGQWJHH/M0uZvaxw3NKRruv4PAG2v3ucLa8fprGuA0+/j1AwjGpUcMZYyS9N496nl1AyJ3vEsULBMN/681/R3d7P7CUFPPj8ihFETq/bz0v/uZnqM01IksSGR+ezbMPIILm9uYcff+sDOtv6WPfgXNbcgBLOlIMEh9lEQXIcRlVhSWE2VqNKdVsXNpOBGKuZFKedqpZOZmYlY1QUYq0WchNjOXGxGYOqMC83fVhCcqhkUJgcT01bFxmxLiASIBQkxeENhlBlCU8wiEGRaerpI83lwGRQMA16ele1dmI3GcmMd031o11X9PR5OXisFt9g2vL46QbaOweuKUiQJQmHzYTPFxzhTna9oBoUFq8s4uSRi8QnOYhNsBMKhpFkwdEDNciyhMftx+G0kJWXQHJaDAP9PpwxVpJTXcijWNOazQY+81zEBOvNNw7fdpPjjGXTcPd6KJqXz3995UWEJLj3S+uv+3kkSTCtJJX/9b/v4ze/Psi77xyjqyv61fTNhjyo/Hc98dGHJ9my+VTUXAmHw8xzz68gJcU15XOXOuegjpM9uBJCQFy8jeeeX8lf/+/f0D2OMusQdF1n545zFBalcN9lBMsrIUkSM5dPY8ay4sFzCTZ9dg0I2PT8Gvq7B9jx+gF6O/qwOsxYHGYe/aO7GSLNnDtYQ097P4s3zYna9yNSdojlq3+0kX/51nucPNFw23JWrid0HapON3L6cC1et5/k9Fj+++/epK/bgyQLrLaId8NAr5eu9n662vupPt3IV/7+IRatLR3zN9DX7eaFf36PbW8fG86SWqxGLDYTA31e2pp6aGvq4eSBGj73l5tYedesYel3IQn6ezwc31eNrEhseHQBjsu4Nh2tvRzcfo766gipNyUzlkVrSiKLtUE01XVyeNd5ervcbHpyMTcCUw4SYqxmYqyRtMycnIjZS3HqpR73dWUFI7YvGDT8SHZdqpssyM8AIivOBXkZI44FYFQVStJHqn9lj+JwleS0X7Xd7QJFlkasKswm9SohlWgRG2PlX/76YQKBEB5vgJ4+Lx1dA/z89QM0R6lJMB583gDnTjcRkbZWiU+w88mHp7A7zchSxBwqJs6G1WYavmHNZhWTycCebRXMW1qI2TJyxSeEwGYz8cxnlpOY6OC1Xx+krW1iyeYbDZ/HT9AfpGRxIUKSKI21EZviQjWoZBSl3pBzCiFwOMx86qklLF5SwK9fPcDBgzW3TdeBqsokJDiYPTeHDRtnYLFcn1SprumcOHGRX/1yX9TZJFmWuPf+OVHV+KPB7JjJP0iH2iIfe3whL7ywPSqtgUAgxCu/2EteXuK4zpSXG6tFXrj0t9lmomhOLqULC7A4hqyGI2/quk5qXhKJWfG4Eq72Tpno86RnxPIXX7uHH7+4k507zkbdfvo/AbWVrXz3628RCoZZ9+Bc1j0wh9jBa9hwoZ03f7KLY/uq6e/18uoPPqGwLJ345KtJoQF/kJ9/ewtb3zoKOhTPyuT+Ty8luygFRZEZ6POy+8OTfPDqAfq6Pbz4f98nJs7O7KUFw997wfQ0Du88T3tzL/09nuEgQdd12pt6aB/iSGk6tedb8Az4ccYqw9u0NnTh7vdhNKlkFdyYue/28Kf9fwAxLgt3ry3jl28eQgi4d8MsEuOvjWCiyBJpya4Rr7k9fj7Yduq6BAkWq5F7Hh2pUPbEZyPaFQXTRp84ZUVmw/0Tp7qsViMPPjyfwuIUXnv1IPv3Vd3U8sOVj+rtr+7l8OYTCCHwDvhQlIh/uyRL3P/7G5m+5MapyKmqTGFRCn/yZ3dx9EgdO7afZeeOc7jdvpteLxZCYLEYKJuRwaJF+cyYlUVGRux1beXr7BrghR9uj0qkaAizZ2dz731zbnk/vaLI3LWpnFOnGti541xU+3R1uXnxRzv4X//7PhISJm/1rBpVkjLjR31PCIHzGp8fQ/snJjn5yh+uZ/acbF59ZT/VNW3oUZiSXRfcQnuSgC9IKBDima+u596nl2K8bPGWlh1PbnEKf/X8j6irbKXyVCO1lS3EX2GSpes6h3edZ+ubRwmHNGYsyOWr33iExNSRxlj5pWnEJtj50Tffp6u9n199fxtl83MwGFWEgNziiKlbR2sv/b2e4dISOtSeb8HnCVAwPZ2O1l4uVrXhGfDhjI2UyLWwRmNdB6FgmIy8xElxKCaD3wUJNwkGVeGBjeWsX1ECIqLJcKv1+W8VhsiMBQXJnDrZwIcfnKDiTCNtbX1ROSdOFgaDQlycjYREB4lXuJAue2AB8zeU8/HLO7E6LMxdPxMtrLHlpZ1oN6CUMxpUVWHe/Fxmzsri4UcWsHvXeQ4fvkD9xU66ugZuSMAghMDuMJGQ4CAzM47Zc7KZNSuLmFgrJtPY9sfXCp83wEs/3cWZ041R75Oc7OT5wXbH28H0ymRSeeYzy2mo7+LChfao9qk408jPfrKT3/vyOsy3IXnNaFJZvaaUOXNy2Le3ki2bT1Nb205Pj+eGnM9mMxIbayO/IPma7KivF6bNzmLjowtGBAhDiEtysPLuWfzkXz9EC2tUnWpk7rKiEdv4vUG2/OYw7n4fBqPCE19ee1WAAJFy1fK7ZrLro1OcOniB6jNNnDpUy+wlkQx7YloMrjgb3R39tNR3UTQjkknXNJ0zR+pQVJlFa0vY9eFJaiqauVjVRkpmRAY1GAhTdz7SnptVkHTDyJG/CxJuIlRVxuW8Njvb/2kQQmA2GwYnx0zq6jo4f66ZkyfqOX26kZ5uN6GQhqZFNA6G+v9HHuNSulaShv5ImEwKycku0jPiyMyKIysrnuRkJwkJDuyOkRwQi92MxW6mtbadTV+8g5gkJ7pOpEf9Qhszll+bLPO1XA+jUSErO57MrDjuvX8OtbXtXKhp5+zZJirPt9Dc1DPcc37pmoxzXQY95SVJIMsSZrOBjMw4srLjyctLJD09luQU17A4zo2ciDVdZ+GiAmbOypp440HEx9vJm4QrZkdrLy/+++ZRM1OKKnHv44soKkuP+vxXYsgt8o//7K6olQshEqSOqSWjaezafJoje6soKstg1Z0zbjoTXpIEMbFWNtw5k6XLi6mpbuXMmSZOHr9IZWULHm8ALawR1nT0UX6LQyUQIRj+HQohIcsC+6C5VHp6LFnZCWRkxJKY6CAh0TEuqfNGQgjB/JXFWO1jCeQJ0nISEJJA13R6RunA6euNcAkAsguTySlKHvU7FkLgirORU5TC6UMX8Hr8nD9ZT/niiP13TLyNuGQH3R391J1vgbsi1uOBQJCq040oqkzZvFwqTzVSU9HMuRMXWbA60pYdDIa4WN0W4ZnkJk5Z/G0s/D8dJNz6tcnvAJGHaEFBMvn5SazfMINQSKO72039xU46Ovrp7o6oJQYG9RoixjgyqqpgNCrYHWZiXFZcsVZiY60kxNtRVPmyB9bEE+Dc9TN56euv8f+3995hcpzXlffvraquzmlyT86DMBjkTIJgJiiRYlagclolW5ZXu9ZnyWl3ba+8a3klW7YkS1SgrMQkMYEiCBIEQSLnQcbknHqmp3Ooqu+PnoDBRIBEoDzneUgA3RXe6kr3vffcczJyPWiaTjQU5eE/vecq/QITIYTAbjezaFEBixYVcNeWOnTNIBiM0ts7TG/vMP39QYLBGPFYkkQiRSKpIUkCRZFRTTJ2uxmH04LLZSUry0l2jguPxzZiQSxdNfvnUdhsZtatr5x9wbeBSDjOG9vqp+QMmFSFDbcseltBAqRfggsW5LNgwTvDV+nrDvC9f3gRf1+Q139fT3F5NouWFV+TzIkQ6Zd63dJiltQV89DDa0gmU3R1BejqHGRgIMjQUJRwOE4ykSKl6SiyNGaQZ7GYcHtseL12PB47WdlOPB4bsizGrrnR/VxLWO0qReXTm8gJIVDNCooskdQ1ErHJ11PT6S6iI91lpTU+zDOoYQohyCnwICSBrhn0tA+mux9UBU+mk5x8L+frO2i4wDG35VwPwUAEszXNNaiuK2T3Kyc4fbQNLaUjKxIBf5j+7iEsNpWSylyu1M/6toKEWCzJcCiGrhuYVQWX0zKhdqjpOsFQjFgs3e5otZhw2C/NrEY3DGKxJNFYklRKQx+xTVVNCnariskkX95FJ9LsUhgXpwlHEyQSqbF9WFQTNpuKIkvX/MK+ltB1g2gskT4HIwp+siShqjI2q4pJUd6RC1QIwWsHz7NqYRE+nwefz0MqpVHf2E1lYdaUktkXo6XLj9lqmtbGezqsumMpvvJchnoDCEkirzSbrIK5KYVeKYxec4oigwKZZieZWU4WLiqYZc3/nMjMdvHFP7+HIX+IwGCEwf4Qxw40MXAdEGSnQzgUHwtq4tEE8UuQL79SGCVISpKMySRTUZFDRcXVMVy7GlDNJhwjRNDpIMb+B8YUEqw97f6xbMrBN87wjU/+aMZnYH/PMLqWXiE6okZpUsGkyhRX5LBbCDqa+0nEU6hmhYYTHSTiKUqr87DYVaoWF4CA/q4hBnoD5OR7aTnbjaYZOD0qheVZV+wdNacgIRZPsvXVEwRDMSrLslm/spyungCPP7WXN/adJxZLkp/n4X131LHlllqsFhPJlMYrO0/z9NbDNLcNYDYrVJfn8v57V7JqaemYQdJ0MAyDwHCUHbvPcvBYK+eaevEPhUkkNKwWE7k5LhbX+LhhdSWrlpZc8otcCIEiS2iazunz3fz+9ZMcP9VBZ0+AeCJtsFTo87K8toi7Ni+mbKQONJd9DA1HeO3NMwyHptcxKMjzsGlt5WV3OFwNGIZBvz/Ejt1nOXC0lcaWPgYDEVKajt2q4stxs6jGx8bVFaxcUow8h3PQPTBMfWM3KU2jriIfq0Xl0Jl2TIrEqgVF9PiDROJJms60U12UTd9QiIFAmKqibAzDYO+JFgaGIywsyaUsP3PsxjQMg46+AD96bi/raktYu7iElKZz9FwnTpuZusp8TjZ3MzgcwWE1s35JKadbemnu8lNZmEVlYRbFCwrGOhr+MweF71bYHGbuuG+cPBuNJPjWXz7Nrm0nruGoZoavMIMlK0s5vKeB2pUlFJZOTVS8HnFyfyPHd5/DYlN578c3Ib9NjtXl+vEAnD3SQjgYZfmNsxONJVkaa0O8XISGo4y2og70DDPQM/dANJXSxgiiQggqFxcgyYJIMEZPh5/84izOn+wkldSorC1EkiQKyrJxuKwEBsN0NPeT7fPQeLoLQzdwum1jPIUrgTkHCb957iDtXYOsXVFGTUUe3/r3V9h/pGWMaNbU2s/3Hn+DZErnofcsZ+v2E3z3pzuIjkTG8USKA0dbaG4b4Ot/vIWVddOn1FKazv7DTfzkiT2cb+olcVGNMRSJE2ruo6G5j9fePMsNqyv46MPrpjRtmg6jgj9PvnCIX/52P/7B8IR4MRSOc/p8N2caenhj7zk+8tA67ti0cE5kw6FAlF8/e5CO7qFpl1m7oox1K8qu2yAhkUyx+2ATj/3yTdo6/SQv0jUYDsUYDsU409jDK2+c5uYN1XzkwXXkzsLibusZorMvwILSHA6cakNRJLxOG8FInOMNXSAEOw6dpyDbjVlV8DistPUOsSSWSGeirGY03eDlvaf5L/dv4MKiUYbLhtNmprbCh9mksP3AKRaX5XG6pRdFkdh5qIGHbl3GS7tPkZ/l5uW9Z1i1sIjtB86Rl+nCabsylszzuDqYijR2vcNiNfGVv7mf4HA0XR5yXx8kzbnAV5pFV0s/z/7oNbZ8+Ia3FSQYhkFHYx9aSqOkZrKr7Gw4faiZnraBOQUJgrc/CbhQl6KsJo/S6rmPubquCOUCLZmyBT4Uk0wilqSrxY/TbaO9qQ9JElTXFiJJApvdTGlVLicPtdDR3M+SNeW0nu/FMAzKavImaCe807jkLQ/4Qzz94mEOHmslw2PHYTPT0TNEMqkRiyd58oVDlBdn8atn9xNPpMjPdSPLEp09Q2haemb6m+cPsry2CFmefKI0TWfnnnN8+4ev4h9KC5cIAWbVRGaGHZtFJTAcZTAQIZnSCIZibH3tBL39Qf7r526n0DeZYToVDMPg9T3nePrFw0RjSRRZwuO24XFZiSdS9A2EiMeTGIZBe9cQ3/3xDmwWE5vWVc8qLqMoEhkeG/6hMMmkhsG4XfG7AZqm8/sdJ/n+428QCKZ79yVJYLeqZGU6UWSJwUCEwaEwmm4QDMV4bttxevuDfP3LW3A7p0/lybJEfpaLbI+D9t4AWkLH7bBiYBCNJdENnVQybdwkhMCsKqgmGV3XGQiE2V3fTKkvg+HwRKMkIcSY1XWG05auJyY1Mlw2rGaFaCyJ12UjP8uF3aoSisYJhKJE40mWVRdgUiSSyRSv/e4wA90B3vvhDTg905NMB3qHefqHr5O8wErYpCp88Eu3zdiK1Nc1xDM/2jlBUls1K3zoj27H5rj2ZmWDiS46IidZ5N6MJCY/9P3xDgYSbVQ61r5rXmbXM4QQuDy2CSI61wKjzydjxJNekqQLyrGMdPoYY58LIfBmu6ioLZzkTmkYaYKjruuAQFbSGcbRTIE+QrwVQiDJEkKkzdreeP4QeUWZ5Jdlp/lEI9nmCduSx8el6wa6pgECDOOqcswcbmt6vxisumkBH/uTO6cUkZsLPJkOcnweulr9dLf78ZVk0tU6gDvDQX5JWtrbajdTUpVH/YFmWs71MNQfGiujVda+PZ7NbLjkIKG1w0933zD337WMD7xvNVaLiR27z/LPj71GNJak3x/iO4+9ytBwlC9/6hZu3liDJAmeeO4g//H0PlKazrnGXtq7BikpnJwiOXaqg+/8aDxAyPTaec+tS7jjpoVkeOwIIdA0nbauQZ7ZeoQ39p4jGktyqL6Vb/9wO1//8t1459BBEAhG+c1zB8GAdSvL+MC9q6koyUr3yRsGfQMhnt56mG07TxGJJhgOxXjsV29RVpxFccHM/eO+XDf/8I0HSKZ0orEEgeEYPf3DPP7kXs42zs1R7lrBMAwOHm/l3362k2Ao/SJeWJnH/VuWsWpZCRazCYEgldI419zLE88dYt+RZjRNZ9+RZn78q7f43Ec3YZ2GyONxpAWZbBaV/CwXBTke3jzWhCwJbl1VDUBtRR7HG7roHQzS2DFA/1CY/Sfb2Li0DKvZxHA4Rl3V1MSxlTWFPPP6Me5ct4C1tSW8evAcdovK4sV5JFJp0mNhjof8bDe3rq6msXOAAsmNqii0N/Tym3/bTnern4rFBay5eXpzp0Q8yfn6doJDEcLBGAPdAVSLwn2fuHHGICERS3Kuvo3wcIzwcJT+ngAWm8qDn9l8XQQJoZSfpvBhFro2wRRBQspIENeuTHvcPK4NDMOgv2uIZ77/Kv1dQxiGwepbFnPLQ2tAwCu/3sPB106iaTpVS0u47zObsU6jFGsYBoGBIL/99x20netGkgWb71vF2jvqkBWJY2+e5eVf7SESTgsA3fvJzRRV5fL097az89lDuLx2dm89yrIbF3DXhzcSCkT43Q9fo/lUJwi48b0r2PieZUiSYOvP32TvtnoyclwkE0m8F7U3X0kUV+Smux80g+62ARKJJFbl8lo6FUWmfFE+bY19dLf56e0YxN8XpKq2kJyCdHZcMcnpjIFJpvFUJ/09AYYHw8iyROUV5ihdcpCQSGrkZrv48INrx3wPblpfzc4959hzqAlN02lp93P7poXcc0cdppEU1K03LmD7m2do7xwkEk3Q0u6fFCSEwjEef2ovAyPSp067ma985lY2rK4Y284oXE4r5UVZFOR5+NmTu9E0g/1HW9j6aj0feN/qWWf7hpH2KLhlYw1/8plb8VxEZHHYzXzhYzfhsJv51e8OoGk6TW0DbH3tBP/lwzfOuG1Zksbklr1uG/m5UOjz8ML243P4ha8dRjkIP39q71iAULewgK9+7nbKphB1WVVXQllRFt/6wSvs2nceXTd4eecpNq2vZkVt0ZSBVHnB+DnPzUiLwXzgtnG9/c0r0wz4m1em+4jzs9zcsLR87PsP37Vq2vELIdhQV8aGurTfQo7XSWXh+LhvW50OQjavSO9jY10ZG+vGvRk8WQ5Ka3xYbeZZa3w5+V6+9p0PE4skaD7Txb984ymikek5KKPIK87kz//5o8SiCRpPdvLP33iSZHJ2Bb/LgWak0I0UBga6kUIWKopQR2Z1OkkjjmakUIQJRUwuteiGRlKPY5LMSEImqcdwKpl4nOOeKIZhYKCT1OPoaMhCwSQsl5RlMAyDRCJFX1eAE4dbaG3oTbfAJrW0SU6um+KKHGoWF+DNcmJSL5OsfIkwDAMtpRMOxWg43cW5Ex10dwwSCcdRTDIuj42SihyWrCwjx+dGmQOJOplIEY0mprQjl6T0jHE24Shd04lE4hgGY8qmR/Y2sGvbCXTdoG5VGRtvW4zVpqJpOmfq29nx4jHCwRjFFdnc8p5lZOW4xmbkAOeOttLXOcjHvnbPWEuxrEicOtDErucP89E/uwe7y8qP/+537HvlBJvuXTHtsb7yxD6CQ2E+/Zf34+8d5id//yylCwuwu6z85l9eZvP9q1l2Qw2JeBJ3hgOby8KDX7id3o5Blm6sZsPdSzGZ0mTonc8epLfdzye/cR/h4Sg//B/PULLAh67p7Hr+EJ/4+n3YHBZ+/PfPjhEDrwYKy7PxZjkY6Bnm9JE2gkMRrHMgVk8FRZEoq/Hx+vNHGegd5syxNgzdwFeUgSczbQIohKC4KheL3UxbYx8D3QGGhyJk5LjIyLl0oa5LGt/lrLRiSTGuC2Y9TruZBZV57DvSPJZGunXjggnkxOwMJ9kZDto7B0kkU/RfpFdvGAZ7DjVRfzottiJLggfuXs7G1RVT8gCEAJtN5ZF7VnL6fDe7Dzai6wYvvlrPDWsqKZ4DM93rsfHx96/H47JNql8KIbBaVB69fw17DzVxvjktnvL67rM8/N6VZHr/MG2o9x1p5tiIU6bTbuazj95IadHUL0whBJleOx97eD1HTrQTDMUIheM8v+04K2qLruaw3xE4PTa+9u0PYxjGrMQmWZbwjijexWPJOROhZFnCm51eLxqOIyvyFQsSOiKnOOh/DovsIK6HMQkzN+d+GqvspCVynKODvwcMFMnMuswHyTCPpy11NM4N76YlfIQbsz+Mw5RBQ+gAx4dewSq7eE/+V8aW7Y6e4/DgS6SMBJqR5IbsD5FjmZsxlq4bnDvRwbO/3MPu104RiyVGevHHlxl9aVlsKp/6yp3c9cDKKx4kGIZB09luXv7tId7cfpLB/uCYTsD4uNIdUja7hZvvruODn9lMRvbMKohvbj/JP/3VM1OWHrNzXfzltx+ltHJmed2ezkH+5k9+gb8vyNe++Qhd7X5+/O2XCQ2nA/tXnz/KuVOdfPQLt7J/11m+9w8vMOQPg5EORN585SRf/dsHKSobt9wuX1zA7peO8sR3t7F0YzVrbq1FCMHJ/Y0kEynOHUubQSXj6b/f+N7liCnKxQDHdp0lI8/NoZ2nScZTDPYO0981RF/nIEKS2HTvCswXaUHYHRYUk4LZquJwjWeCj+46i9lq4siuM2gpnWF/iJ42P9FQjCyfl+oR3Y1Fq8oYvAQlz7cLp9vKpruX8tuf7KK/e4iXfr2PD37x1sviBghJUFSejcWmMtATIBqOIyTBgmXFEwLG0uo8HC4LfZ0Bzta3Ew5GKV/gu+KlqssqohQXZEwgbgghyMlyjh2Q22WdRGCzWkxYR8QeNE0nEp2oFZ5Iauw52DRGdMzOcrJpXdWsUbXdpnLbjQvHtt3RNcSxU3MzLVm2qIjcLNe0BCchwG4zc/PGcbUt/1CE46fnrhr3boKuG2zfdRptRGmwuiKXRdW+mVuFhKC8OIuSwvGg7OTZzrFMxLsJQggUk4xpBvGbdxMMdPyJTlZm3MutuZ8laSTojTeiGUkO+Z9noetG7vB9gSLbYg74n0PTx9vvmsNHaQwdYG3mgzhM6XNb49zIMu9dk7gKmeZiNuV8mDt8nyfTXEhj6OCc7j9N09n7+mn+/s9+zfYXjhAJx5EkCafbRlaui+w8NxnZTqx2Fd0wkBWJvALvVTs3rQ29vPjkfvq6022xbo+NvAIvJRU5FJRk4slwAILQcJQXfrOPn/7ztlmzSSZVwem2YXOYMVtMKIpEMpFK/5fU5qSuaRiQSmgMD0U4vKeBJ3+yC6vNTGFJFmaLiVRKY/tzR3hz+wke/7dX0VIGhaVZeDId6aDsZAcv//bQ2L6EEOQWZfLZv3mIWx9ay6kDTfzqO78nHk2gmGQUk4wsS8iKzPotS9l497IZWaEms4KsSMiyjMVu5qEv3k5BeTayImHo+rQW91Nt0qQqyLKMLMuoFhP3ffYWShf4kJV0Z9roMSQT2pTZmSsFxSRz230rKCjNwjDguV/s5pmfvIG/L205PSp0pqV0ouE4/r4g9Qea+P0T+yfdG2kdBS8ur53+nmHOn+hAksSY+uIoHC4rBWXZaLrO4TfPoWsGvuJM7M4rI8c8dqyXuoIQkOGZPPO2W9WxjgG30zJJTWtU2wDSF3kiqY3rVJPuoDhyon1s+eL8DMqKZu/9FEKwdFEBXreNaCxAStM5eKyVOzcvnlSiuHg8lWXZY8HFTMe7qNqH3WYmHIkTjSVobhtAX2u84+541xr9/hDnL5CbXbGkeAILdzpIcjpQqD/dCaS7T1ra/SxZeGVrZeFgjGd/uouMbCd3PLJmjBzV1TrAm1uPk0ymuPtD68dSdqlkiu1PHyQcirHlA+uw2s3EY0me/emuCf3pArj70fVjmYJ3MzLUfLLMRYDAqWQSSQVIGjGiWpBcSzlW2UmBdQEnA6+TNNIvuL54C329Ldya92m86jj3QwiBmGJeoRsaHdHTDCV66I+3kWUunnVchmFw+lgb//bNF+gdUS8sLs/mzvtXsnh5Cdl56fR9aDhKe3M/Z+rbiYQTLFhSeNWChMUrSlm8vASHy8qyteUsWFJEfnEmFqsJLaXT3tLPc7/cw7ZnD5OIp3jz1ZPceGctKzdUTTvGVRur+D+PfYpQMEo4GCMYiPL//ua3hIOXF1Q//5u9rL6hhs9+9S5cHhu/+uFOfvmDHYSGo/zkO69gtpr42jcfZtnaCk4daeX/fOMpejoG2fv6GT76xdtQzQqGYdB8qpPgUJiMXDcLVpbx1ta0q+HSG6o5+PopsnwecooyGewdxpvlRIh06WTUFjkUiOCU7CgmmTW313J8z3kqagtRVJmhviBWh4WyhQUISeKFn77B2ttriUUSOL128kuzQYDTa6fheBsViwuxOsxk5LpZc3ste146RtmifMxWlcHetCNm+eJCnvvxTva/Uo/Ta6d+z3mKL6HD4O1CCEHZAh8f+9M7+Ze/fobAQJif/OPv2fnCMWqWFk3IFvZ1BWg930N7Yx8LV5Rw+4OTM2F5BRl4MuycPZ5+B2bmuiiYoh124bISDrx+hnP1HSiKTElV7mUTJueKSw4SFEXGbJ6s7S7J0lg3mtWiol6Ufh2ViR2FbkxsqRsYDDMwNF6CKCvOxDTHFG52ppMMj53OEXOjs429aJo+Y5BgMsnkZbvmFIRkuG143FbCI3XAju4hEskUFvO1kRW9Umhq7Sd+AVtf03ROnOmcdT3DSAd5o0il9LGuiCuJZCLFtif3p9X07lqCc4SwemJ/Ez/91la0lE7ZwnzW37YYgFg0yc+//TIOt5V7P7oxPdakxu5t9Qz1h4jHkgQGQmiazoY7a/8gggRZujCtK9LmVaRr5ykjfc5SRgJJyGMBgFV2UelYTf3Qq2SZi7Er07cWG+i80fc4DlMm5faVJPTIlOIzFyMRT/HLH+wYCxDqVpfxpa/fS2FJ5hirHcDttVNQksWqG6pJxJNXTbJYCEFmjov//vcPY7GYsNjUCc8KxSRTUpHDp/70Lgb6guzZcZrQcIxTx9pYvq5yys4tSHsl+IrGs26plMa//u/nCV9mplwgeOhjG8nMSbsYbt6yhB0vHqWzzU9gMMwHH97MsrUVyLJEzZJCFtYV0dMxSGAwjL9vmLyRDGA4GOXVJ/cTjybwZDv54J9sweqwUFLj4+Ev3Mau548QDITJKcjgrkc3EgnGePaxHTSe6EA1K/zgr5+iqDKPD/3pFjbduxLFJPPcj19H1w2qlxVTvbwEu8vKp//ifl55Yg+//H8v4fTY2fLhjWPHcscH1vPcY6/zi3/ayro767jxnuWsv7MOgBd/totUSqNySRGVdcXkl2Xz4Odv4/XfHcSd6WD9XXVX3fJaCMG6Wxdhtqr8/Nsv03Smi4ZTnTScmvqZqZpNI+dp8rVhd1nIL8kcCxKqagunlFmuXpJuidR1A0WVKVswc6b3ncClBwmyNKsQkiJLc/Y3H0Vv30RzH1+OZ87rCgG52S7qR15oA4Nh4omZX+KKLE3gVcwEu92M3TpOSgkMR0ldJfOfq4me/iDJC1KBj/3qLR771VuXvB1dn1xOuhJQzSaKK3NpONlBX8cgTrcNLaXTcLIDk6qgmgVnj7aOBQn+3mEC/jBL1pSP9XRb7Wb+/F8+SjQUo7dzkO/+5TN0tQ5c8bFfSyiSmWxzKaeG36DSsYb6wHYKbYtRpfT94FC81HnuYM/Akxzyv8CG7A8gIaMZCRJ6lJSRJK6HUaV062og2UuhLf0b98VbRjIXM+NsfTv1h1oA8GY5+NiXbqOobPrMoSxLl00Mu1xIksA7koWaCkKk+9dvvKOWPTtOA9DdPoiu6VfNtdLpto5I8o5kcb12cvI9dLb5Uc0KtStKxsZiUhVyfO6xDrEhf5i8wnSnVu3aSmrXTiWbLajbUE3dhupJ33zwT7ZMOSar3cytD63l1ofWTvqudGE+n/7LBybvRQiKKnP5wt89MuFzs1Vl832r2HzfZMLyujuWsO6OJVOOYfL24YFPbuLme5ZhtqnkFs6sqVNSncfn/+J96JpO0Qxqk4ois+rGasqq89i34xSHdp2j+Ww3QwMhdF3HajeTW+CltMZH7cpSFq8qm7KsIoTgfR+9gdrV5WAYlFTnTdLQSVtLF/LH//OBMVnnykVXxs5+wjFe6gpCzC5Eke6jvbTtBsMTa3l2+6XNGBwXOIrpuk4oHMc9Q61GkiTMc8wEqIo8IasRjSWumkPg1UQwHBvjI7wdGAZoV0ETwmxRKKnJ4/i+Brrb/JQvKiCV0jhzpJXquiIS8RRnjrSiazqSLNF0qhNd16leOv4SkyQxYgPrxuG2Ybb+YWSHEnqEpB7BZ6kiPd+EbEspLlM2EjKrMu5hV+9PeCt2njL7Kha7NxNK9jKUaCFTLUCRVNZlPsSBwefoj7fiVDI5NPgCg4kuDEPj1Z4fsdh9M8W2JazNfIijQ1tpFSpLPbcT12fOIhmGwYG3zhMfyT6t3FBF5cIrPyO6UvBdwMeJhONX1eY7a0SHZhSq2TTWSquY5LFMwShsDgtCpLUH4vFrLwF9tSCEYMPti+e8fG6Bly3vnxzkTLftrDw3dz2yllvvW0kqmULX0vk0SaS7REa5HTNd4wuWFbNg2cylOneGnTsfXjPn43gncFndDVfiVr6Y7TtbtuJiXLy8rs/8shOMqy7OhouDnpSmX02OzFXDhQHCKBdjpkBrOpgUmZyrkKqXZInCsuy0aUrHIIZhEApEaWvs5b2PbmCwP8TJg034+4Jk5rpoPtuDJEmXpI72bkU4OUAo2UGd566R9keFBc71GBgYaNgVDyX2xXjUQopsK0gZcc4Mb8ejFlKdsQlZKMiywsas96MbGik9zuqMe1GEiiQUkkYMDAPNSFJoW4hHzUYgcJpy0A2dhB4BDFTJhk56fUkoKMJMLJKgrbEXQ093kdTUFs5okHM9wDAMUimNVPIiZ1LdmMBnMa6yYJrdaZnwQBYSY1wpSZZwXOR6KkkSCIEBaKm5Twh0I0lSDzHKDpSEikmaPstytZDSY+hGDEVyIIn060w3UiNjTR+fQMEkzdwmaBg6KT2SJi9LNi7nLSdJArPFNKX99LsZ140msNk8cSixKZzcZkLsoqjYPEsrim4YJLWpWbYXI5XSJ7xALWbTnAOMdxNMijzh1vj4wxtYdQnWvhfiavw+o5auFrtKe2MfyYTG+fp2kvEUNcuK6W71s3/HKToa+/Bk2Glr6CEjx0nGSP32DxsG/fHznAq8hCxMVLlupin4JsFUHwW2OgpsS3GackaW1OmLnaUvdhazPP6wHUUw2cORwSfxqkVIwkSpfR1H/L/Bay4m21yFS/Vxbng7HrUYhymbrugxeqKnMUkWqly30BR6i6QeJaFHWOp9gGg0xfBQWpBJMckUlFw53fm3C13X6Wge4OSxVhpOddHR0k9g1JU0liIRTxK/xGfVOwnVrEy4Zy/+u8n0zjziB2JHOdT7P0joATQjRoH9Nlbn/u07su23g8bAr2kafpJVuX9LpiXNXwgn2zjQ+5eEk+2kjAhutZpNBT9CZvpANKEPsaf7q1iVHFbn/C1iCiGx/6y4boKEDI9twgU+NHxpqm5Dw+MpTlVVsNtm5hvoukEkMre6eTwx8UFgs6hXreZ4NeF2WpFlCU1Pt2IFwzHkq2wpfKnIL8nC7rTS0dRHMpHk7LE2HG4b2fkeFJOMrum0N/VSWJHNQM8wOQUZuLzvHn38y4cg01zOAvednBh6jkjKT0wPkdSjBJN9E1LikpDxWWvpsByjynUzJunie8fArmSy0H0XR/xPkjSiWBUP1a7bxpbNtS4kroUxDJ3e2DnKnRvxqIVEtWE6wkfxmAtJ6BHiWphUUiE2MvuWRur61xsMw2DIH+bFJ/bxynNH6O8JkExoSLKE2ayMtOZJmC0mZEUmkLg2gUL6Op6+h1u8Qx1YXvMi1vv+H7FUHwf7/hqDaxcYXQgDDd1IcuEFbTMVsCrnf5Eywhzp+7s5jVWgYFPysSq5XJlc+TsLwzA4H2pje88+gqkwTsXOfYU3g2HwfNcuJAROJU3k7o4N8OHSu3GZHOzqO8zRobPE9SSl9nzuyb8Rizzz/XfdBAm+HDdms2mM8Nba4Z/QIjkTEkmN7gvsYPNzPbO27iWTGgOD4Vn3YRgGw8EYwQu8ArIzHXPuvHg3wZfrxmSSxwy1zjf3cdscDFOuJdyZdnIKvLQ39hIOxmg+201uoRdvlhOHy4bZqtJytpuq2kIG+4LUravAcY118q8WFGEeYSNIhJJ9RFNDmGUHsjARTHbTFTmOJBQy1RJsSrp2Pd2dEEh0cnZ4O2bZiUlYkIUJgYRhGIRTA3SEj5Ay4mSbK8hQi2kO7cEsOylzrMdnW4xAwmMqwKZ4iRCcsJ+rzUqfC+KxJN/75gu88XI9um5gsZpYdUs1i5eVkFfoxe2xYbWZUS0KTWd7+Pv//utrPeQrCkWy4VLLUSU3srj+groLIQsVp1qCbmgokp2kPrtDo0lysirnfwLvDgfYlKHxdPurLPVUsdhdSU9sAIdspT8R4MxwMw8W3crPmp7n3oKb6Ir1cyLQwGJ3Jc937uRDJVvwqi4GE0FM0uwhwHUTJNisZqrKcjh6Mt0C0tQ6QCAYxeOa/YHe1No/IfNQW+ObdaafTGm0dvrRNH1WZ8eu3gCDgZH0qCxRlO+9ZM7EuwEVJdk47BbCIxmWIyfaSCRScyZ4XitU1RZwfE8DHU1pudKiihxcGQ4kSZCZ66LpdBf9PcMEAxFKq/P+ILNAF8Ol+qhWbkOVrNR63ossVDIt5QgkTJIVgaDO+wACsMjptqwl3vehSlMriXrVQkod61ElG7JQWejegizS14VVdlHruQcDsMhOHKZssi1VGBiokoNq120k9DACKb1/VRlrZdR1nWDgyrfLXgoMw+C1F4+x+9VT6LpBdq6bz33tPSxfW4HVrk56iQz5w9dopNcf0jLdKaKpPuKaH8NIIgkVi5KFRc5GiPF7L5RsRTdS2E2FxFK96eUBi5yJVcmdVPbSjRThZDsJPYAkTNiUfEY8HS97vEktSCBxnlGuhSq7cakVk5ZLH88ATrWcuDZILNWHgYYqubGZ8pHF5FJGXBsimupG02PIkgWbkj8rN2KukIVEjbOEQ4NnkIREnbsKm2KBRIBMs5tqZwmFthwWusoYToUJp2JYZTM+Sza7+o+wNmMJNc4S5DmUVa6bIMFiVli9rITjpzvQdYPO7iFOnetm3YqyGX9UbUQ8KTBSbrBaTCxbXIQ8hzTbybNdDIdiYx4UU25fT3tCpEZIPg67marynHdFtHmpcDosLK8t4qXXTgDQ3DbA4RNtrF0+8zm41qhYXIiu65w91sbQQIhN712KyZQ26qqsLeT1547Q3TaAltSuSl/x9YBR4iGAWU4TzBRpYu3fIU2cEVrkqcmmVtlDiWMddmV8/dFtpvelYpcmCr+MZiYgXc64sIRhtam4M9L3XDKp0d7Sz2qj+ro5L7Hx6pDhAAAg6klEQVRIgoNvnSORSCHJErfft4K1N9VMO5mIvAvVRa8kzgw+Rlf4dSKpLjQjhizMOEyl1Hg/SZ7thrFA4dzQzwknW8m1baQ1+AKRVCcGOnalgGrPxyh03IUQ6WyVbsRpGn6GxuFfE0v1I0sWsiwrMMuet+UJHk61c7T/fxPX/MQ1P7m2jWzwfWfScp2h7TQFn6LC9X5aQy8STDShGXGsSjalrgeocH0AeeR+MgyDwXg9pwd/xFD8BEk9jEmyk2lZxgLvZ3Cp04ttzRWSkHhv/iZqnKUcGjrFd88/wcfL7kEWMhISEgJFKEhCjIRQBmbJxGcrH+BkoJE9A8d5q/8onyp/H07TzBYD182USpIEN66twjfi5DUcivHkC4cYnkWJrLXDz3Pbjo3pFtRU5LJkYcGcTsLp893sPdw8bbrTMAwamnvZuefc2GclhZksrPzDZMcLAVtuXjzW0RCJJvjZE3to6xyc8zZGWd9XE0UVOVhsKicPNhMKRKhZOt5GtHBFKaFAhGN7GlAtJkovw6v+PztU2U6meW5eDHOB2WKivMaHJAm0lM7xA81EQrObY10tRCJpGV0AVZVZuLRoxmzj+VNdV2to7wpYlVwKHLexwfcdbi36Dcuzv0FCD3DS/13i2sRnyUDsKC3B56jyfJTNBY+zJvebGBjU+/+FmDau/todeZNTg/+G11zLjfk/4Mb87+MwldAe2oZhXD4/Ik1qfIxNBT+aMoNwIcLJDs4M/ZgCx21sKniMjb7vYjcVccr/PQKJM+PLpdo42PtXaEaEFdl/xS2Fv6Au678znGjgcP/fkdADlz3eUST0JG2RbjLNbm7JWYPLZKclPPN1GE5F6Y35KXcU8p78G+iJDeBPzF6KuW4yCUIISgszuPuWWh771ZtousHBY638+Ndv8egDa8jw2NNe5mLEnU3Tae0c5F9/8jod3UNAuqPhgbuXz6lEAekX2s+e2I3HZWXFkmLUkT7WUW/1ts5Bvvf4G2M+BCaTzD23181Jqjit3T3u055Ipia0eY5+lkwqSCPkwLloUEy/fW3C9g3DIJ5IIY2Y48xl+0IIFlX7uG3TAp7ZegRdN6g/08k//WA7n/7QRspLsjCP+BqM/k6appNM6cTiSZpa+9m1r4H7tyylKH92g613AkIIHG4ruYUZHN/biMWmUlI17lJYVJGD2apybE8DheXZ2C+wcU4mU7Sc7aa/K0AkHE87qw2my0qvP3eE8/Ud2JwWHC4rlYsLxtaNx5I0nupkqD9IJBijvamPSDhOKqnxytMHyPZ5sDksOD1WqpcUjZnZxKKJkfVCREMx2hp6iUUSpJIa257cT0aOC7vDgtNro2pJ0R9cK9UohBCsvqGKp366i3AwxtH9jRw70MTamxZcF1LngrnpvBiGQcAfZt8bZ2Zf+D8RSpz3pkmTI3NYu6mQofhpzg39jJQRAcYzUpqRoNL9IYocW9L3sqmIsKudEwPfIZA4O0IkNGgLvYAsLCzO/BI2JX1/V3k+zFD81IQX9KVCCBmTsKPpsVk7GgwjRb79VspdDyONlNoMPkFvZDf+WD0ZlrTqY1voJeKanxU5f0WmZSkADlMxCW2QE/5/pi+6l0LHnZc9ZoCknuLN/qM0hTtQhEyW2cNSTzURLYZdsSAJgV2xIgkJi2RGlVVCWpRn2l8josVRJZn1WXX4rJOlny/GdRMkQLqH974ty2hq6+fVN8+gaTpPbz3M0VPtbF5XTVG+F7PZRDgS53xzH9t3naa3Px3xm0wyD969nA2rKuZ0g9usKlkZDlo7/Pz1Pz7PzRuqqV1QgMdlJZnSaGn38/KOk7R1pSNfIWDT2ko2rCqfcbsNzX2cbugmFksRjSWIxpKEo3GCoRiNLeORcWNLH9/98Q6cTis2iwmrVcVqMWFWFUqLMqmtyZ/CutfgfFMf5xp7iMWTRGNJIrEEkUiCYDhOR/d4hNrWNci3vv8KtpHt2qxqWl7WrFBSkDmtr4JZVfjYw+tp7fBz4GgLhgEHjrVw8lwXK5YUUVORh9tlRQDxRIqBwTAd3UOcaeih3x/CrCrcvunqkh3tTgv5pVk0ne5i0apSLCP2uUII3Bl28kuyaDjZQeXiwglyucGhCD/4n89y4kATwFjQBfCb770GIl3ttNrN/MX3Ps7S9WlFuv6uIf7pz35NR2PfpPUe/9bvx64/l9fON3/xeYqr0q5+Pe1+vvXffk1XS/+k9X7yf7aOrefNdvK//+PzFJZnX6Ff7NqjrDqPDTcvZNuzh4mE4vz7P76EJAlWbqia0lHTMAx6O4cwW0xjXhxXCja7mYwRnY9EIsWJwy0sX1sxaVzhUJyf/9urNJ6ezySMYtSGPJxsJ5hoIqEF0Iw4oWQbOmnr8gthlj1kWC5UTRRYlRyEUEjqaa6HQYqh+Bk85hrM0rhSokly4TZXEUicvRqHhizZyLIuR1zw2rTImcjCSlIPjo11IHoESZjpjexhMHZibNlgshHdSBFMNL/tsdhkCx8suWvs+SGNBGUZuPhc5cNICD5X+RASAl9+OhAQCP6k5kNjjSCSkObUqn5dBQmQtif+4sc3o+sGu/adJ5HUON/UR0NzH2bVhCJLJFPaBI8Bq8XEe2+r4yMPrR0zkZoNq+qKefielfzj916huX2AF7bX8/Lrp1BVGV03iMVT4ydAEiysyuNTH7wBh90842x81/7z/PSJPaSS2oyCSwODYV7eeWrS57IscdfmRSyq8k3Sfzd0g517zvEfT++dVRZ6KBDlxVfrJ32uyBJ3bF40bZAghMDjsvJfP3s7P/iPN3hzfwPxRIpINMGufQ3s2teQvrDEZAEsGKERXeXassVm5jN/fg/v//wtOD22CQ9zb7aTr33nUaLhON5s1wRfAJfHzh/97UPEZnHuE5JE/gW9/Nn5Hv78nz9Ccoa2t1g0SX9/cIL8a15RJt/414/OuB6ArMjkFHjG/h2PJenuGqKoJGvOM+3AUIRIOI6vYGb52SsBwzDo7Q6gmk14M6aud8qyxEMfv4G25n5OH2ujs3WAf/yLp6lbXcaytRXkFXhRFIngcJTOlgHO1LfT2tjHx/7oNm68vXbS/gZ6hjl5rJVwME4kFCMcijE8FOH8ybRUu5bS2Prkfk4fbcPmMGN3WLA5zHgzHSxcWpwWJRqB2WpixYYq9rx+hmQixdanDuBy21izqQaTSSaV0mg+18NLzxzkyN5GMnJchIfT+5wJTWe7aWnoJRyKEQ7FiQRjhIKxsVJLMBDl1z/cQU6+F7vdjM1hwe4wk5nrYsnKsusiyzIbUnqYM0M/piv8OpIwYZIcmCQH4WQXU9k0KsKGJMa9gEZbOsUFZERNj6MbSRTJOYF/kBY+sk9pOnYlIAsTirBOfr4JweixaUYczYiS1IdpDb2AYGJgaVXyUKYhB18KhBDIo7OYi8c58uHonxf+ljLyJfM85xwkpFPVIydxKu1pRqIZMX6ip95G+gcV04xUCEGm185XP3c7i6t9PL31CJ09Q5NMhCD98q4qy+Hh965g8/pqVFWZMYsgGL/G1q+qYOmiQr7+5S389Ind7DnYRDKlTfAugPTM+tYbFvCRB9dS4PPM+gLUtHQKfprzNyt0XZ9WGtkANF1H0/XL5upoujGr9LIQgvw8N3/2xTt5accJXtxez7mm3rGgQDeMSff7aNfHpnVV5GZfHbGi0ZILQHa+l5wLbIRHv5MkifzS7LFrb9TC1TBGFBsvmq2P2+eOL3/h/iCtgV9SnTfjOmdOdtJwoJlNJgVdNxAiXYufjhMxuu0LtzX6eXubn1e2HuOTn7sZFHnCub94+fSHcGBvA7FYki0+z6RrZcp1Rj5Pl/Om/m6q32WqbRkG/P7FYyxdXoz7AsfYC+8dIQTFFTl86ev38K9//zynjrYxPBRh17YT7No2Pvu6EEIIktMIFx3Z38j//fpTU34H6YD24FvnOfjW+Qmf5/jc/MU/fYiqReNBsxCCTXfUsnfHafbuPE3AH+YH/3crv/jBDmx2M9FIPN2RIaByQT6f+sqdPPmTNyZt+2I8/5t9vPCbfdN+H4sm2LH1+KTPy6rz+M4vPoc0i0DctYZhGHSEXqEx8BtKXQ9Q5f4IZjlddjwf+A+OD0xVFpi9O0GSVIRQSOnhkYtzfH+aHp+Todg7g6nGOvHfklCRhIpLrWBN7j9gUSYLhY0GDtHUMGbZPsl6HdLHFtUC2BQPAJqRpDfWTJa5GJN0dVtQ53TVuRwWvv0/HkHT9JGZ5uSa/9oVZTz+nU9gGAYmk4LHNVnO9yufvpXPf2QTkDZNmg5CCJwOCw++ZwWbN9RQf7qDIyfb6ekbJp5I4bCZKfR5WbGkmKryHNxO65yi7M0bqlmxJK3b7xlxDKypyOUbX76bMw09HDjaQlPbALFYErtdpaIkmzXLSykvzsIyhfPlVHjknhXcfcvcNcKngsWiTnk8siT40H2red8ddW9z+1PXug3DQCeV7oEXAptV5X13LuXmDTU0tvRz9GQ7bZ1+AsNRNCOOoiYpyimmKN/LomofuTlOTJYoDnVuxllvF/6BEL/5j90MDoQQQnDfI6tZuLgQwzA4e7qLF357iHA4jtWq8onPbiYjy8HQYITnnjlIa3M/kiS45fZa1myoJBSM8cwT+2hrGcBsMXH3vctZVFvA6ZOdvLbtBP/lj25DCPjV429RUpbFmvWVfO87r2C3m+npDiDLggc/sJbyylz27T7P7548QEe7n+6uIXLz3Hz6C7dMexyGYdDdOcSzTx9goD+ExWLingdWUlXj4/CBZn77xD6aGvvo6x0mI8vB5/74DgzDYNeO0+x96zzJRIqyyhzue2g1VpvKb5/cz7atxxBCcORgM6vWVnDH3XVoms62rcc5tL8JIeDGzQu4YfMC9u1u4ODeBoaGIlTV+Dh/tpu65cXcfe9yhgbD/O6pg7S19GOzm3nw/WspLc/mzZ1nOHGsjWRSwz8QZsGifB54ZA2xWJJf//wtXt9+kuNHWvF4D/HgB9ZSs3CyEY0QgooFPv7iWx9kx0vH2fn74/R2BQgHoyTiKQwDFFPa2MnttVFamUfZBcHZhfBmOqhbfenkSm+mA+sUzyKbw8yXvnEvBY9nsnvHaQb7g4SDMSKhGGaLifziTJauLuORT20iJ89DR2s/qZRGWVXetAJGhSVZLF1TfsnEXl9RxoRtqmYTNXWFZOQ4Ka3MuUiWWaK0MpfhoQhOl3VSOjnH56ZuVRmqKuN0X7rk+kww0BlONCELC/n2W8ZekJqRIBA/w1SZhLlAwoRbrSIQP0NCD2CV0kqhKSNMMNnIqPzy9QAJE5mWZZwP/IJwsh2bMrGbyjB0QBDTwhwafIFiex3Z5hJSegJFUknoMVTJSkwLcnhwK7XuW8gyFxFJDaOjIRAk9ThDyW50Q8Mue7AqLoYSXST0KFbZhduUO6d31VwxpyBBkiSyM2fW4reYTViyZyZajb6YR6FpOscPN5NIpFizoWrS8kIIJN3glhsWcMsNb6/OvXfXOepWlJA30j1xIew2MyuWFLNiyczmGnOBw27BYb8yL8nR4MnpsHCqoRu7RaW4YJwgaBgauqEhRLofXScFCCSU9N8NA0ko6GhoRnIkTWdgGDpCyKSMGH3Reny2lYgRO2FZkvC4LCyrzWPZEt/ItpIEk+30x05R5txEOjMkYRg6wVQfBhkYhoaBPhJ7y+ikRpKI8gXjkif0TV8q7A4Lt921BG+GnZ2vnual54+yYFEBw4Eov/zpm9x48wKWLi8hEkng9tjQdYOtzx0mNBzlU5+7GYTAYjEhBOx45QTDgSif+vzNtLf6eeIXu/nyf9tCMjEiIWwAAkLBGLFoEsOA82e7WbW2nE9/4RbeeO0Ur2w9zic/n82KVWXEY0n272ngc1++HVmevRf5yMFmDAM+/YVbiMdTuEce4EuWFpFKamz//XH+6Kt3oYxkEoQQlFflUr3QRzye4l//6WXWbqikvDKXLSMvd7fHxpZ7lo2sIzh9ooM9b57lE5+9mVAwyi9/9hYLFhcQCkbT9+D6CrZtPc4D71/L9t8fZ8s9y3jl9/XEogk++8VbOXaklad+tZcvfOUOYtEkx4+28aU/vRNFkfn3727nhptqyMv38qGP3UBHu58t9yyjtq4IdYYAWwiBN8vJfY+u57Z7ltPR0o+/P0gskkA3DFSzCZfbSnaeh9wRFc2ptrFifSVLV5WlLXRN6ZKhrunIioSQBFpSQ0gCWZnZZOfCbWbluvjkV+7kjvtX0tU2QDgYB5G+7nLzPRSUZKKOaIi895G1vPeRmQ2B7v/IBu7/yIZZ9z0bsnJd/Le/fWjK71RV4cOfnz4g3byljs1bLm2SkZ48JMHQ0Yz0zD3tdRAbyc7KCBQEElYlm5QRpS+6H6epBM2I0xZ8kf7YwUva50QIihxb6I8d5JT/+1S6P4gsWekIbccfO8aFUdKoToNhaOikn0GGoaPpMRA6CAkJ0zhB/cLjMnQMpjiuGa+XiYGPEIJix3voCG2j3v9tKt2P4jFXYxg6oWQrw4lGKtzvJ2XoBJI9hFODeFUfwdQAzeEjCASL3DcR18MEkj1EtWEMIKoFORfcg9fkI6aFOOR/nlL7MpqTh6lyrufU8BvIwoRNdlHnuZ3ZsjOXgmuavwoORxn0h/EPBFmzoYrhQITmxj6EgKoaHx1tfrY+e5hb7qxl4eLCCdF0a3M/TpcV/0AwXV+0qXR1DBKPpyivzEWSBI3nexBCUFXjo/F8D1ULfXR1DlJYlHlVmeM9/cMEglGCoTiLq3yEonGa2/14nBZsVjNWi4me/mGyMhwYhkFPX5BYPElZURYWs0Jb1yDReJKiPC8mk0xjaz8nznWxqMp3QZBg0BU9xEDsDJmWGsyym+7IISSh4LOupCOyG7PsxmddyenA03jVCjxqGQOJs6T0KDY5CyFk2sNvIguVXOtS0heaQUIP0hraSVwbpsC+jtbQG8hCYTDRSEwbIqVHMcsesiyL6IzsZbHng7SGd5LUw9iVPFTJTn/8NBIyOdY6moOvkGGuJte6DOsU6bi5QlEkDN3gzKkuwuEYgZHOhM72QeKJJDfdumhC61osluTMyU4eeXQ9efnjpSNN0zlZ387Nty/Gl+8lN8/D8789SFvLzJbRTqeFVWvKycp2srC2kNMn96GlNCxWFdVsStsbW9U52aZXL8znwL5Gnnv6IKvXVZCfn+YSpC2vFWRFwmJVx47HMAzsdjON53sJDIVJJlPEYulUvMViQlFkTCZlgr3yyfoOQNBwridthhWK0dKUlmj2FXjJL8igqCQLX4FnzKjo6MEWikszqT/eTiyWpKW5b8x3obI6j5qF+WgpHbfHhn8gRH5hBhZr+tjNZtOc7Z2FEDjdVhbUzW4zPRVSSY2D247RerqD6hXlDHQPMdgzRN2NC1FUhUOvHMeZ4WDTQ2uxXkIQL8sSJRU5lFxgF2wYBge3HUOLxKhcVnpZ4303Ia4NUD/wbQZHev7jWj/RVDevtD2IItnJs21kUcYXkYRCoeNO/PFjNAR+wbmhn2GS7HjMi1ic8Ucc7P2ryx6Dz34T0VQ3TcNP0RHehiysZFiWUOH+IM3Dvx1bTjNinBr8Pj2RN0nqYWJaPxg629vfjyJseM2LqMv6KqrsJqEHqB/4Nv7YMVJ6iJg2QDDZzLa2BzBJdrKsq6jL/OokXsFssJuKWJXzvzgz9Bgn/P9CaoTUaJLceMw1gMAue3CZcimy1WJXPJiEhZOBHXhUH3bFi0324DJlUWSvRSBwm3KwyiMTXAEZagGl9mUcHHwBDIOEHiXLnE2ZffnbmnhNhWsaJHi8dmqXFrFrxIv99IkOOtr8VFTlgRAoikQ8lkyrs10UGB071ExmtpND+xpZsLgQs1mhs2MQh9PCoD+MJAThcIyhwTCynG6dPLSvEdWsUFQ8e9vHO4nTDd30D4ZZVOkjmdLY9sYpCn1eDte3kpXhIC/bxatvneGmddXYrCoCGAxEaOs6x8olxezYc44bV1cgSYK9R5rTv0siNYlbYFeyGRJNCCQGYmeIaX5UyclwshWz7KHCtQUMA4FMqfM2Iql+BmKncaklRLVBCu0biGsB8mzLx7ZpGJDQQxjoJPQQfbETeM3lOEx5+BPncJoK0YwEsdQAHrWM/tgJwCClR/FZV+I0FXI68BRxLYAsVJJ6BJuSTYnj5rd9Mb+27QTHj7SyYnX52IzOGJnxY0yQcwfGLyF9inSvJIkxzsUoZ0GItFveaM1T0wxi0XFezIX2r6OtuZcDIQTllTl87o9vH5uth8Nx1t9QPe06A/0hfvz916iq8ZGZ5RgpT12wfwGTZzmAYRCLpRU1t9yznMLiTAJDkTEyqiJLIz/fOGk3ldKJRRNIkuChD6zDMaKjYbWYxjlKYuLvLRBX3DLZMAx2/XY/PS19rH/vSlbcWgsCoqFYulPitjryyrI5/OoJ6jYtpLOhB3/XEAWV6ZKFpum89qs3GR4IkV+RS6bPS+PxFnJLsgkNRehrH6ByWQmyotB+tgu7x0ZxTT6HX63H3xNgwz0rr+wBXicwSQ7K3A9RqN815fcWOWOMPGiWM1mW9f8RTDaT0qMokg2HqRhZWNngy8Cm5I6tV+F+P0WOu7DIE5/HGeY61uR+E5ea7iQTQqAIK5WeR8m1bSCuDSKNSC8LZDIty3Cq6VKTJEwUOu4k27p62mORpfT1q0g2Sl33U+C4bcplVckzdlw++024zBW41IkZb6uSy7rc/4vNNM41EkLgtSxiRfZfEk62jXQ+CEySE5vJh0lyjrzo8zkyuJUFrhsZSnRRYl9KODXEUKILr5qPJBQO+V9gmfcuGkMH6Y01cF524rNWocppp0pVspIwYiT1BMHkAL3xZuxKBtI7GChcV0yYJctK0FI6Rw81U1qRQ67Pg8dro6xissJhUWkW9UdacTitDAciOJwWutr9VNb48HrtnDnVQTgUJyvHic2mkkrptDb3s2RZ8ZQpyyuN8uIsFlTkEorEaesaRDUp5Oe6yc12c/JcF7lZLlo7/CyoyOXwyXYcdjPBEW96X46Lmor0gy0UjrF8cRGxWHJCvTH9QBZYFS9DiQY8ajm6kcSlFuFQfLSEXqMzvIcMczWSUJCEjFl24VbLsCtZOE1FKJKVUKobf/wsXrVy7CU+nGwnpcdQJDNWJZOheAMxbQgACRlDyBgYDCUaCSRaGUo0AwJJqIDAo5YTTHbgNBVglt1IQn1Hot1TJzooq8hh8ZJCWpv7xoKm/MJ0q+z2l46zfHUZoWAMX4EXs1lh4eICXn25Hq/XDmLE1jrPzdIVpex+4yyFRRm0NPcjCUFRSRaD/hDDgSjNTX3EoglOn+xgcV3hrGOz2lSGBiP0dg+jmhW8GfZp05aGYdDWOoCuGSypK6LpfA9dHeOiMxarieBwjJ7uABaLSkamncBQhL7eYT70sRsYHo4yfJG0sctlpaN9kL7eYSwWE06XlSVLizl1ooOqGh8ut5WB/hCZs1h6r1pbTke7n2UrSjGAeCyB1TaShZsho2mxmWhvHaCgKAOH0zItD+btQNd0PFkuwoEIZ/Y3oJpN9LX5ycr3Uljl49Tec9S/dQar3YxanoMkS6Qu6CzRNZ1Mn5doKEb9m6epXFZG+9luhnqHWXrTIrSkxpkDTXhzXBRU5bFwTSV7XjxE5fIyupp63/HjuV4hS5axfv/ZIIRAlT1kyssmfZdjm1iOmU68yKJkYFEml24kYcJtnhw4Z1lXXLCMgte8cE5jTUuVz630YjP5JgQCo1Ak66TjGoUqu1Dl6flpC12bRkqyEhnqqMT06CwHNmV/FEgH3AtcG6lxbWC08yNLLQIEK73voSl8CK+ahyrZiKaCXC73Yzpc8yBBVmTcHhuGYdDS2EdTYy+yLCHJ6fqh2WLihWcOcvd9KyeQ+UrKsjl2qIXV6ys4e6qLFavLCQVjBINRHE4zazdUse+t84SCMRxOC5nZTlatq+DQvkYG+oJk5149u2C7zYzNku7dt1vN3LphASfPd4GABRW5HKpv5faNC3htz1l8OW72HmnGalUp8nlQTTJuZ1qXQJIECyryeH3f+TRJqmhiqt4qZ5BlWYxJsmESNlymonTdXUpnEXQjhUmyU+O+DwCTZKXcefuYbKgqOaly3YMiWbjwDZBjqcNlKkISCmbJSYZaCQjybWtQJQdgoFmSCCGxyPMIquzEYcrHJKXdFnMsS3CaCpGEhCo5sTjemba8O7bU8bunDtDc2MfC2gLi8RRCpF+QH/30Jl743SEO7m/E5bbx6MdvwGo1cff7lrP1uSP87Ec7MZkUbrljMdm5bm7cvIBQMMbPH3sDm93Mo5+4AbfHit1h5qZbFvHrn79FZpaDVWsrcLnTx5Wb5xnztTBbTOTkusdKYpXVeVQv9PGTf99BWUUOjzy6fsZj6e4cYuerp0gmNXz5Hm66ddHYdyWl2dQtL+bxH+2ksCiTRz9xA758DytWl/P4YzvJ83nYeFPNhBfxhk01/PJnb/Lj77/GxpsWsHFTDVULfNx25xKee+YgyUSKouJMqmrycDgtaJqOxWIiI8uBSVXIyXUDgptvX8z239fz+GM7kWWJtRuqKKvISd9TIzwlIQQ5uW4s1vH93/mepbzw28OcOdXJ/e9fQ1n5eLr+ncJA5yBnDjTgznaSiCeRZImKZSW0nupg4boqFLNC/a4zuLKcdDb2Eg1GcVwgwd7V2ENTfRuqVSUjz0vjsRZKFhbQdraLU3vPk5nvRUuluQx2lxUhCVSLSqB/mOi8FPM83iaEEBeUMsRFf05sXbz4XxcuX2SrxasWIBBYZdc73hIqjGtswTa6+4vbzS5sZbvw3xevd+Hysx3KhctczV7+i/d5KT/56JinW/d60bu/Fpjud5zuWpjp86m2l14eporMpzsvl3ueZhrXxd/PdB3Ntv+Zrr3Z7sGplpvL8V+pazQZT3L4tRPIsoTdYyMWTmsPVC4rZbg/SF/7AIXVPry5bk7vb8Cd6aRiWckYRyQWiXNoez1mq0pWgZeBzkEKqnwMDwRJRBNEgjFsLitOrx13lgt3lpOgP8TJPedQVJmyJcVk5HquyLHNYx7XC655kDCPecxjHvOYxzyuT1w3Bk/zmMc85jGPeczj+sJ8kDCPecxjHvOYxzymxHyQMI95zGMe85jHPKbEfJAwj3nMYx7zmMc8psR8kDCPecxjHvOYxzymxHyQMI95zGMe85jHPKbEfJAwj3nMYx7zmMc8psR8kDCPecxjHvOYxzymxP8PmCDTW54vtRUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 936x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from wordcloud import WordCloud\n",
    "\n",
    "img = WordCloud(background_color='white', width=800, height=600).generate(spam_words)\n",
    "plt.imshow(img)\n",
    "plt.axis('off')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Other Common Features\n",
    "\n",
    "Any NLP dataset will have domain specific features, for example: number of retweets, number of @mentions, number of upvotes, or mean time to respond to a support chat. In addition to these domain specific features, some common measures for a document are:\n",
    "\n",
    "- character count\n",
    "- word count\n",
    "- sentence count\n",
    "- stopword count\n",
    "- unique word count\n",
    "- punctuation count\n",
    "- average word length\n",
    "- average words per sentence\n",
    "- word to stopword ratio\n",
    "\n",
    "Create one or more of the above features and visualize it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>text</th>\n",
       "      <th>message_length</th>\n",
       "      <th>word_count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ham</td>\n",
       "      <td>Go until jurong point, crazy.. Available only ...</td>\n",
       "      <td>111</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ham</td>\n",
       "      <td>Ok lar... Joking wif u oni...</td>\n",
       "      <td>29</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>spam</td>\n",
       "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
       "      <td>155</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ham</td>\n",
       "      <td>U dun say so early hor... U c already then say...</td>\n",
       "      <td>49</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ham</td>\n",
       "      <td>Nah I don't think he goes to usf, he lives aro...</td>\n",
       "      <td>61</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   label                                               text  message_length  \\\n",
       "id                                                                            \n",
       "0    ham  Go until jurong point, crazy.. Available only ...             111   \n",
       "1    ham                      Ok lar... Joking wif u oni...              29   \n",
       "2   spam  Free entry in 2 a wkly comp to win FA Cup fina...             155   \n",
       "3    ham  U dun say so early hor... U c already then say...              49   \n",
       "4    ham  Nah I don't think he goes to usf, he lives aro...              61   \n",
       "\n",
       "    word_count  \n",
       "id              \n",
       "0           20  \n",
       "1            6  \n",
       "2           28  \n",
       "3           11  \n",
       "4           13  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# add two new columns 'message_length' and 'word_count'\n",
    "\n",
    "df['message_length'] = df.text.apply(len)\n",
    "\n",
    "df['word_count'] = df.text.apply(clean).apply(str.split).apply(len)\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sentiment\n",
    "\n",
    "A number indicating whether the document is positive or negative.\n",
    "\n",
    "- knowledge-based + statistical approach\n",
    "- relies on human-labelled data\n",
    "    - combination of qualitative and quantitative methods\n",
    "    - then empirically validate\n",
    "- different models for diff domains (e.g. social media vs news)\n",
    "- for social media\n",
    "    - Afinn ([github](https://github.com/fnielsen/afinn) + [whitepaper](http://www2.imm.dtu.dk/pubdb/edoc/imm6006.pdf))\n",
    "    - Vader ([whitepaper](http://comp.social.gatech.edu/papers/icwsm14.vader.hutto.pdf) `nltk.sentiment.vader.SentimentIntensityAnalyzer` - pre-trained sentiment analyzer (**V**alence **A**ware **D**ictionary and s**E**ntiment **R**easoner).)\n"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "# From your terminal:\n",
    "# python -c 'import nltk;nltk.download(\"vader_lexicon\")'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "ename": "LookupError",
     "evalue": "\n**********************************************************************\n  Resource \u001b[93mvader_lexicon\u001b[0m not found.\n  Please use the NLTK Downloader to obtain the resource:\n\n  \u001b[31m>>> import nltk\n  >>> nltk.download('vader_lexicon')\n  \u001b[0m\n  For more information see: https://www.nltk.org/data.html\n\n  Attempted to load \u001b[93msentiment/vader_lexicon.zip/vader_lexicon/vader_lexicon.txt\u001b[0m\n\n  Searched in:\n    - '/Users/jamesallen/nltk_data'\n    - '/opt/homebrew/anaconda3/nltk_data'\n    - '/opt/homebrew/anaconda3/share/nltk_data'\n    - '/opt/homebrew/anaconda3/lib/nltk_data'\n    - '/usr/share/nltk_data'\n    - '/usr/local/share/nltk_data'\n    - '/usr/lib/nltk_data'\n    - '/usr/local/lib/nltk_data'\n    - ''\n**********************************************************************\n",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mLookupError\u001b[0m                               Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-23-e2aeeca6cfa1>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mnltk\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msentiment\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0msia\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnltk\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msentiment\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSentimentIntensityAnalyzer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0msia\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpolarity_scores\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'He is really good'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/homebrew/anaconda3/lib/python3.8/site-packages/nltk/sentiment/vader.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, lexicon_file)\u001b[0m\n\u001b[1;32m    337\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlexicon_file\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"sentiment/vader_lexicon.zip/vader_lexicon/vader_lexicon.txt\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    338\u001b[0m     ):\n\u001b[0;32m--> 339\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlexicon_file\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnltk\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlexicon_file\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    340\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlexicon\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmake_lex_dict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    341\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconstants\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mVaderConstants\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/homebrew/anaconda3/lib/python3.8/site-packages/nltk/data.py\u001b[0m in \u001b[0;36mload\u001b[0;34m(resource_url, format, cache, verbose, logic_parser, fstruct_reader, encoding)\u001b[0m\n\u001b[1;32m    748\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    749\u001b[0m     \u001b[0;31m# Load the resource.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 750\u001b[0;31m     \u001b[0mopened_resource\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_open\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresource_url\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    751\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    752\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mformat\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"raw\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/homebrew/anaconda3/lib/python3.8/site-packages/nltk/data.py\u001b[0m in \u001b[0;36m_open\u001b[0;34m(resource_url)\u001b[0m\n\u001b[1;32m    873\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    874\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mprotocol\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mprotocol\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlower\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"nltk\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 875\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mfind\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpath\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m\"\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    876\u001b[0m     \u001b[0;32melif\u001b[0m \u001b[0mprotocol\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlower\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"file\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    877\u001b[0m         \u001b[0;31m# urllib might not use mode='rb', so handle this one ourselves:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/homebrew/anaconda3/lib/python3.8/site-packages/nltk/data.py\u001b[0m in \u001b[0;36mfind\u001b[0;34m(resource_name, paths)\u001b[0m\n\u001b[1;32m    581\u001b[0m     \u001b[0msep\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"*\"\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0;36m70\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    582\u001b[0m     \u001b[0mresource_not_found\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"\\n%s\\n%s\\n%s\\n\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0msep\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msep\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 583\u001b[0;31m     \u001b[0;32mraise\u001b[0m \u001b[0mLookupError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresource_not_found\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    584\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    585\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mLookupError\u001b[0m: \n**********************************************************************\n  Resource \u001b[93mvader_lexicon\u001b[0m not found.\n  Please use the NLTK Downloader to obtain the resource:\n\n  \u001b[31m>>> import nltk\n  >>> nltk.download('vader_lexicon')\n  \u001b[0m\n  For more information see: https://www.nltk.org/data.html\n\n  Attempted to load \u001b[93msentiment/vader_lexicon.zip/vader_lexicon/vader_lexicon.txt\u001b[0m\n\n  Searched in:\n    - '/Users/jamesallen/nltk_data'\n    - '/opt/homebrew/anaconda3/nltk_data'\n    - '/opt/homebrew/anaconda3/share/nltk_data'\n    - '/opt/homebrew/anaconda3/lib/nltk_data'\n    - '/usr/share/nltk_data'\n    - '/usr/local/share/nltk_data'\n    - '/usr/lib/nltk_data'\n    - '/usr/local/lib/nltk_data'\n    - ''\n**********************************************************************\n"
     ]
    }
   ],
   "source": [
    "import nltk.sentiment\n",
    "\n",
    "sia = nltk.sentiment.SentimentIntensityAnalyzer()\n",
    "sia.polarity_scores('He is really good')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Things that can influence Sentiment Score:\n",
    "1. Punctuations. Can increase the intensity\n",
    "2. Capitalization. Can increase the intensity\n",
    "3. Degree modifiers\n",
    "4. Conjunctions\n",
    "\n",
    "It can handle Emojis and slangs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Apply this to the text message data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'sia' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-22-1b2af590b0e6>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'sentiment'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtext\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0mdoc\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0msia\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpolarity_scores\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdoc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'compound'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/homebrew/anaconda3/lib/python3.8/site-packages/pandas/core/series.py\u001b[0m in \u001b[0;36mapply\u001b[0;34m(self, func, convert_dtype, args, **kwds)\u001b[0m\n\u001b[1;32m   4136\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4137\u001b[0m                 \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobject\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_values\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 4138\u001b[0;31m                 \u001b[0mmapped\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmap_infer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconvert\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mconvert_dtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   4139\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4140\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmapped\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmapped\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mSeries\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/lib.pyx\u001b[0m in \u001b[0;36mpandas._libs.lib.map_infer\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32m<ipython-input-22-1b2af590b0e6>\u001b[0m in \u001b[0;36m<lambda>\u001b[0;34m(doc)\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'sentiment'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtext\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0mdoc\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0msia\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpolarity_scores\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdoc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'compound'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'sia' is not defined"
     ]
    }
   ],
   "source": [
    "df['sentiment'] = df.text.apply(lambda doc: sia.polarity_scores(doc)['compound'])\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## More Resources\n",
    "\n",
    "- [kaggle wikipedia movie plots](https://www.kaggle.com/jrobischon/wikipedia-movie-plots)\n",
    "    - Suggestion: narrow to top n genres that aren't unknown\n",
    "- [wikitable extractor](https://wikitable2csv.ggor.de/) (Try with, e.g. [helicopter prison escapes](https://en.wikipedia.org/wiki/List_of_helicopter_prison_escapes))\n",
    "- [Textblob library](https://textblob.readthedocs.io/en/dev/)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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