last_tasks_3_results.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from datetime import datetime\n",
    "from dateutil.relativedelta import relativedelta\n",
    "\n",
    "import blaze\n",
    "import matplotlib\n",
    "import numpy\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from matplotlib import pyplot as plt\n",
    "from IPython.display import display"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "# matplotlib.rcParams['figure.max_open_warning'] = 1000\n",
    "# matplotlib.rcParams['lines.linewidth'] = 1.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Top negative sentences that contain \"manager\" from the training set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "training_sentences_df = pd.read_csv('sentiment/last_tasks_scores.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8996"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(training_sentences_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sentence</th>\n",
       "      <th>score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>General Motors will recall nearly 3,200 manua...</td>\n",
       "      <td>-0.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>He performs in his D.J. duo New World Punx, w...</td>\n",
       "      <td>0.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>\" And Aim's problem is that many of its larges...</td>\n",
       "      <td>-0.125000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>\"'Don't be evil,' he cried, while being chased...</td>\n",
       "      <td>-0.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>\"A lot of companies seem to prefer it to other...</td>\n",
       "      <td>0.333333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            sentence     score\n",
       "0   General Motors will recall nearly 3,200 manua... -0.666667\n",
       "1   He performs in his D.J. duo New World Punx, w...  0.500000\n",
       "2  \" And Aim's problem is that many of its larges... -0.125000\n",
       "3  \"'Don't be evil,' he cried, while being chased... -0.250000\n",
       "4  \"A lot of companies seem to prefer it to other...  0.333333"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "training_sentences_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "training_manager_df = training_sentences_df[training_sentences_df.sentence.str.contains('manager', case=False)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "training_manager_top_neg_df = training_manager_df.sort('score').head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sentence</th>\n",
       "      <th>score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3076</th>\n",
       "      <td>Don't tell the manager.' Then he ran out and s...</td>\n",
       "      <td>-2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2799</th>\n",
       "      <td>CVS Caremark, the large drugstore chain and ph...</td>\n",
       "      <td>-1.714286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1341</th>\n",
       "      <td>A month-long shutdown at a big Maruti plant cl...</td>\n",
       "      <td>-1.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5096</th>\n",
       "      <td>Marty Hurney, who was fired as the Panthers' g...</td>\n",
       "      <td>-1.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>717</th>\n",
       "      <td>'The games are fairly clean, because we're str...</td>\n",
       "      <td>-1.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4929</th>\n",
       "      <td>Last month, the company completed a round of b...</td>\n",
       "      <td>-1.571429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2828</th>\n",
       "      <td>Charles Jones, 42, the manager of gentleman's ...</td>\n",
       "      <td>-1.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4110</th>\n",
       "      <td>In 2000, Mike Milbury, then the Islanders' gen...</td>\n",
       "      <td>-1.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7712</th>\n",
       "      <td>The hedge fund manager played a central role i...</td>\n",
       "      <td>-1.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6504</th>\n",
       "      <td>Several years ago, Francine Bostick, a now-ret...</td>\n",
       "      <td>-1.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2333</th>\n",
       "      <td>Bags of coins were piled high on a desk at Lai...</td>\n",
       "      <td>-1.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3676</th>\n",
       "      <td>He had suffered heart complications after bein...</td>\n",
       "      <td>-1.375000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6337</th>\n",
       "      <td>Robert J. Benfatto, the district manager of Co...</td>\n",
       "      <td>-1.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1771</th>\n",
       "      <td>An assistant manager chimed in: 'In Manhattan,...</td>\n",
       "      <td>-1.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1760</th>\n",
       "      <td>An article on Friday about the first public ap...</td>\n",
       "      <td>-1.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>'We lost so many kids close to us,' said Brand...</td>\n",
       "      <td>-1.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6122</th>\n",
       "      <td>Peter Graf, who as the coach and manager of th...</td>\n",
       "      <td>-1.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6366</th>\n",
       "      <td>Rory Williams, the mine's manager, who is not ...</td>\n",
       "      <td>-1.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6748</th>\n",
       "      <td>State Street, a manager of institutional asset...</td>\n",
       "      <td>-1.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4092</th>\n",
       "      <td>Imagine walking into a branch of RBS or Citi s...</td>\n",
       "      <td>-1.285714</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               sentence     score\n",
       "3076  Don't tell the manager.' Then he ran out and s... -2.000000\n",
       "2799  CVS Caremark, the large drugstore chain and ph... -1.714286\n",
       "1341  A month-long shutdown at a big Maruti plant cl... -1.666667\n",
       "5096  Marty Hurney, who was fired as the Panthers' g... -1.666667\n",
       "717   'The games are fairly clean, because we're str... -1.666667\n",
       "4929  Last month, the company completed a round of b... -1.571429\n",
       "2828  Charles Jones, 42, the manager of gentleman's ... -1.500000\n",
       "4110  In 2000, Mike Milbury, then the Islanders' gen... -1.500000\n",
       "7712  The hedge fund manager played a central role i... -1.400000\n",
       "6504  Several years ago, Francine Bostick, a now-ret... -1.400000\n",
       "2333  Bags of coins were piled high on a desk at Lai... -1.400000\n",
       "3676  He had suffered heart complications after bein... -1.375000\n",
       "6337  Robert J. Benfatto, the district manager of Co... -1.333333\n",
       "1771  An assistant manager chimed in: 'In Manhattan,... -1.333333\n",
       "1760  An article on Friday about the first public ap... -1.333333\n",
       "999   'We lost so many kids close to us,' said Brand... -1.333333\n",
       "6122  Peter Graf, who as the coach and manager of th... -1.333333\n",
       "6366  Rory Williams, the mine's manager, who is not ... -1.333333\n",
       "6748  State Street, a manager of institutional asset... -1.333333\n",
       "4092  Imagine walking into a branch of RBS or Citi s... -1.285714"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "training_manager_top_neg_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 --- Don't tell the manager.' Then he ran out and shut the door.\n",
      "\n",
      "2 --- CVS Caremark, the large drugstore chain and pharmacy benefit manager, recently said it would require its 200,000 employees to report their weight, blood sugar and cholesterol or be forced to pay an annual penalty of $600.\n",
      "\n",
      "3 --- A month-long shutdown at a big Maruti plant close to New Delhi cut the company's production during August 2012, following industrial unrest and rioting in which a senior manager was killed.\n",
      "\n",
      "4 --- Marty Hurney, who was fired as the Panthers' general manager last October, did not respond to a message left on his cellphone.\n",
      "\n",
      "5 --- 'The games are fairly clean, because we're strict about being rough,' said Bob Weyersberg, a hockey official and youth coach who is also the league's founder and manager.\n",
      "\n",
      "6 --- Last month, the company completed a round of buyouts and layoffs of about 30 managers.\n",
      "\n",
      "7 --- Charles Jones, 42, the manager of gentleman's club, was killed and a 44-year-old woman was wounded in a shooting that stemmed from a traffic crash on the South Side of Chicago, Ill., early Sunday.\n",
      "\n",
      "8 --- In 2000, Mike Milbury, then the Islanders' general manager known for making baffling personnel decisions, drafted DiPietro No.\n",
      "\n",
      "9 --- The hedge fund manager played a central role in hiring Ron Johnson from Apple to revive the tired chain, but Mr Johnson's strategy alienated shoppers and triggered a disastrous fall in sales.\n",
      "\n",
      "10 --- Several years ago, Francine Bostick, a now-retired 62-year-old custodial manager in Manhattan, Kan., and her husband, James, 74, found themselves with lots of stuff and more than $120,000 in credit card debt.\n",
      "\n",
      "11 --- Bags of coins were piled high on a desk at Laiki Bank in central Nicosia, while a manager in a dark business suit stood at the front door waving away a retiree who was trying to enter early.\n",
      "\n",
      "12 --- He had suffered heart complications after being treated for chronic lymphocytic leukemia, said his manager, Darryl Porter, who confirmed the death.\n",
      "\n",
      "13 --- Robert J. Benfatto, the district manager of Community Board 4, which oversees the Culture Shed site, said his board had also been assured that the multipurpose institution would not be another Javits Center, which has been faulted as a sprawling eyesore since it opened in 1986 and is undergoing a renovation.\n",
      "\n",
      "14 --- An assistant manager chimed in: 'In Manhattan, some people treat their dogs like kids.' Both employees declined to give their names, not wanting to be drawn into any fluffy kerfuffle.\n",
      "\n",
      "15 --- An article on Friday about the first public appearance of a Pentagon-financed humanoid robot named Atlas misspelled the given name of a program manager who worked on the robot.\n",
      "\n",
      "16 --- 'We lost so many kids close to us,' said Brandy Nezvesky, 18, the manager of Tumble Jungle.\n",
      "\n",
      "17 --- Peter Graf, who as the coach and manager of the tennis great Steffi Graf acquired the nickname Papa Merciless for his stern control of almost every aspect of her life, died on Saturday in Mannheim, Germany.\n",
      "\n",
      "18 --- Rory Williams, the mine's manager, who is not related to Rick Williams, did not immediately return phone messages.\n",
      "\n",
      "19 --- State Street, a manager of institutional assets, said on Friday that it planned to cut 630 jobs, or about 2 percent of its global work force, to reduce expenses.\n",
      "\n",
      "20 --- Imagine walking into a branch of RBS or Citi seeking a loan, pointing out that you have shifted a mountain of your existing credit card debt to the \"bad\" part of your balance sheet and asking the manager to focus on the \"good\" bit.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for i, x in enumerate(training_manager_top_neg_df.sentence):\n",
    "    print(i + 1, '---', x)\n",
    "    print()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## entrepreneur vs. manager"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 6.3 s, sys: 304 ms, total: 6.61 s\n",
      "Wall time: 6.59 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "dtypes = {\n",
    "    'article_id': str,\n",
    "    'date': pd.tslib.Timestamp,\n",
    "    'term': str,\n",
    "    'sentence': str,\n",
    "    'sentiment': str,\n",
    "    'source': str,\n",
    "    'n_months': int,\n",
    "}\n",
    "\n",
    "nyt_ft_sentences_df = pd.read_csv('nyt_ft_sent_data.csv', header=0, dtype=dtypes, parse_dates=['date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1684129"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(nyt_ft_sentences_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>article_id</th>\n",
       "      <th>date</th>\n",
       "      <th>term</th>\n",
       "      <th>sentence</th>\n",
       "      <th>sentiment</th>\n",
       "      <th>source</th>\n",
       "      <th>n_months</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4fd20d7d8eb7c8105d77daf9</td>\n",
       "      <td>1999-01-16</td>\n",
       "      <td>new venture</td>\n",
       "      <td>Keeneland's new venture came as a surprise to ...</td>\n",
       "      <td>pos</td>\n",
       "      <td>nyt</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4fd20db88eb7c8105d77e511</td>\n",
       "      <td>1999-01-03</td>\n",
       "      <td>manager</td>\n",
       "      <td>The plan Presley and his hucksterish business ...</td>\n",
       "      <td>neg</td>\n",
       "      <td>nyt</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5482d92a38f0d8403d9cd045</td>\n",
       "      <td>2008-07-08</td>\n",
       "      <td>Twitch</td>\n",
       "      <td>In the male toadfish the swimbladder has been ...</td>\n",
       "      <td>pos</td>\n",
       "      <td>nyt</td>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5456ab1438f0d86ef22a094e</td>\n",
       "      <td>2009-10-04</td>\n",
       "      <td>executive</td>\n",
       "      <td>Mr. Pozycki is the chief executive of SJP Prop...</td>\n",
       "      <td>pos</td>\n",
       "      <td>nyt</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5456ab1438f0d86ef22a094e</td>\n",
       "      <td>2009-10-04</td>\n",
       "      <td>executive</td>\n",
       "      <td>Mr. Pozycki 59 is the chief executive of SJP P...</td>\n",
       "      <td>pos</td>\n",
       "      <td>nyt</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 article_id       date         term  \\\n",
       "0  4fd20d7d8eb7c8105d77daf9 1999-01-16  new venture   \n",
       "1  4fd20db88eb7c8105d77e511 1999-01-03      manager   \n",
       "2  5482d92a38f0d8403d9cd045 2008-07-08       Twitch   \n",
       "3  5456ab1438f0d86ef22a094e 2009-10-04    executive   \n",
       "4  5456ab1438f0d86ef22a094e 2009-10-04    executive   \n",
       "\n",
       "                                            sentence sentiment source  \\\n",
       "0  Keeneland's new venture came as a surprise to ...       pos    nyt   \n",
       "1  The plan Presley and his hucksterish business ...       neg    nyt   \n",
       "2  In the male toadfish the swimbladder has been ...       pos    nyt   \n",
       "3  Mr. Pozycki is the chief executive of SJP Prop...       pos    nyt   \n",
       "4  Mr. Pozycki 59 is the chief executive of SJP P...       pos    nyt   \n",
       "\n",
       "   n_months  \n",
       "0         0  \n",
       "1         0  \n",
       "2       114  \n",
       "3       129  \n",
       "4       129  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nyt_ft_sentences_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "nyt_ft_entrepreneur_manager_df = nyt_ft_sentences_df[nyt_ft_sentences_df.term.isin(['entrepreneur', 'manager'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "nyt_ft_entrepreneur_manager_blaze = blaze.Data(nyt_ft_entrepreneur_manager_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>term</th>\n",
       "      <th>amount_neg</th>\n",
       "      <th>amount_pos</th>\n",
       "      <th>total_amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>4326</td>\n",
       "      <td>20971</td>\n",
       "      <td>25297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>manager</td>\n",
       "      <td>119454</td>\n",
       "      <td>83749</td>\n",
       "      <td>203203</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "           term  amount_neg  amount_pos  total_amount\n",
       "0  entrepreneur        4326       20971         25297\n",
       "1       manager      119454       83749        203203"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "blaze.by(\n",
    "    nyt_ft_entrepreneur_manager_blaze.term,\n",
    "    total_amount=nyt_ft_entrepreneur_manager_blaze.sentiment.count(),\n",
    "    amount_pos=nyt_ft_entrepreneur_manager_blaze[nyt_ft_entrepreneur_manager_blaze.sentiment == 'pos'].sentiment.count(),\n",
    "    amount_neg=nyt_ft_entrepreneur_manager_blaze[nyt_ft_entrepreneur_manager_blaze.sentiment == 'neg'].sentiment.count()\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "grouped_by_term = blaze.by(\n",
    "    blaze.merge(nyt_ft_entrepreneur_manager_blaze.term, nyt_ft_entrepreneur_manager_blaze.n_months),\n",
    "    total_amount=nyt_ft_entrepreneur_manager_blaze.sentiment.count(),\n",
    "    amount_pos=nyt_ft_entrepreneur_manager_blaze[nyt_ft_entrepreneur_manager_blaze.sentiment == 'pos'].sentiment.count(),\n",
    "    amount_neg=nyt_ft_entrepreneur_manager_blaze[nyt_ft_entrepreneur_manager_blaze.sentiment == 'neg'].sentiment.count()\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def smooth(x,window_len=11,window='hanning'):\n",
    "    \"\"\"smooth the data using a window with requested size.\n",
    "    \n",
    "    This method is based on the convolution of a scaled window with the signal.\n",
    "    The signal is prepared by introducing reflected copies of the signal \n",
    "    (with the window size) in both ends so that transient parts are minimized\n",
    "    in the begining and end part of the output signal.\n",
    "    \n",
    "    input:\n",
    "        x: the input signal \n",
    "        window_len: the dimension of the smoothing window; should be an odd integer\n",
    "        window: the type of window from 'flat', 'hanning', 'hamming', 'bartlett', 'blackman'\n",
    "            flat window will produce a moving average smoothing.\n",
    "\n",
    "    output:\n",
    "        the smoothed signal\n",
    "        \n",
    "    example:\n",
    "\n",
    "    t=linspace(-2,2,0.1)\n",
    "    x=sin(t)+randn(len(t))*0.1\n",
    "    y=smooth(x)\n",
    "    \n",
    "    see also: \n",
    "    \n",
    "    numpy.hanning, numpy.hamming, numpy.bartlett, numpy.blackman, numpy.convolve\n",
    "    scipy.signal.lfilter\n",
    " \n",
    "    TODO: the window parameter could be the window itself if an array instead of a string\n",
    "    NOTE: length(output) != length(input), to correct this: return y[(window_len/2-1):-(window_len/2)] instead of just y.\n",
    "    \"\"\"\n",
    "\n",
    "    if x.ndim != 1:\n",
    "        raise ValueError(\"smooth only accepts 1 dimension arrays.\")\n",
    "\n",
    "    if x.size < window_len:\n",
    "        raise ValueError (\"Input vector needs to be bigger than window size.\")\n",
    "\n",
    "\n",
    "    if window_len<3:\n",
    "        return x\n",
    "\n",
    "\n",
    "    if not window in ['flat', 'hanning', 'hamming', 'bartlett', 'blackman']:\n",
    "        raise ValueError(\"Window is on of 'flat', 'hanning', 'hamming', 'bartlett', 'blackman'\")\n",
    "\n",
    "\n",
    "    s=numpy.r_[x[window_len-1:0:-1],x,x[-1:-window_len:-1]]\n",
    "    #print(len(s))\n",
    "    if window == 'flat': #moving average\n",
    "        w=numpy.ones(window_len,'d')\n",
    "    else:\n",
    "        w=eval('numpy.'+window+'(window_len)')\n",
    "\n",
    "    y=numpy.convolve(w/w.sum(),s,mode='valid')\n",
    "    return y[(window_len/2-1):-(window_len/2)]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def plot(term_list=None, same=False, info='total', category_list=None, figsize=(16, 8), window_len=20, window='hanning'):\n",
    "    if term_list and not same:\n",
    "        for term in term_list:\n",
    "            df = blaze.odo(grouped_by_term[grouped_by_term.term == term], pd.DataFrame)\n",
    "            df.set_index('n_months', inplace=True)\n",
    "            df.index = [datetime.strptime(\"1999-01-01\", \"%Y-%m-%d\") + relativedelta(months=i) for i in df.index]\n",
    "            df['pos_rate'] = df['amount_pos'] / df['total_amount']\n",
    "            y1_df = df[['total_amount', 'amount_pos', 'amount_neg']]\n",
    "            y1_df.plot(title=term, figsize=figsize)\n",
    "            y2 = smooth(\n",
    "                    df['pos_rate'].values,\n",
    "                    window_len=window_len,\n",
    "                    window=window\n",
    "            )\n",
    "            y2_df = pd.DataFrame(y2, columns=['pos_rate'], index=df.index)\n",
    "            y2_df.plot(title=term, ylim=[0, 1], color='green', figsize=figsize)\n",
    "    elif term_list and same:\n",
    "        ax = plt.figure(figsize=figsize).add_subplot(1, 1, 1)\n",
    "        for term in term_list:\n",
    "            df = blaze.odo(grouped_by_term[grouped_by_term.term == term], pd.DataFrame)\n",
    "            df.set_index('n_months', inplace=True)\n",
    "            df.index = [datetime.strptime(\"1999-01-01\", \"%Y-%m-%d\") + relativedelta(months=i) for i in df.index]\n",
    "            df['pos_rate'] = df['amount_pos'] / df['total_amount']\n",
    "            if info == 'total':\n",
    "                y = smooth(\n",
    "                    df['total_amount'].values,\n",
    "                    window_len=window_len,\n",
    "                    window=window\n",
    "                )\n",
    "                y_df = pd.DataFrame(y, columns=['total_amount'], index=df.index)\n",
    "                y_df.plot(title='All together', figsize=figsize, ax=ax)\n",
    "            else:\n",
    "                y = smooth(\n",
    "                    df['pos_rate'].values,\n",
    "                    window_len=window_len,\n",
    "                    window=window\n",
    "                )\n",
    "                y_df = pd.DataFrame(y, columns=['pos_rate'], index=df.index)\n",
    "                y_df.plot(title='All together', ylim=[0, 1], figsize=figsize, ax=ax)\n",
    "        ax.legend(term_list)\n",
    "    elif category_list:\n",
    "        category_dict = {\n",
    "            11: 'executive/manager',\n",
    "            12: 'entrepreneur/founder/new venture',\n",
    "            2: 'big companies',\n",
    "            3: 'new companies',\n",
    "        }\n",
    "        if not same:\n",
    "            for category in category_list:\n",
    "                df = blaze.odo(grouped_by_category[grouped_by_category.term_category == category], pd.DataFrame)\n",
    "                df.set_index('n_months', inplace=True)\n",
    "                df.index = [datetime.strptime(\"1999-01-01\", \"%Y-%m-%d\") + relativedelta(months=i) for i in df.index]\n",
    "                df['pos_rate'] = df['amount_pos'] / df['total_amount']\n",
    "                y1_df = df[['total_amount', 'amount_pos', 'amount_neg']]\n",
    "                y1_df.plot(title=category_dict[category], figsize=figsize)\n",
    "        else:\n",
    "            ax = plt.figure(figsize=figsize).add_subplot(1, 1, 1)\n",
    "            for category in category_list:\n",
    "                df = blaze.odo(grouped_by_category[grouped_by_category.term_category == category], pd.DataFrame)\n",
    "                df.set_index('n_months', inplace=True)\n",
    "                df.index = [datetime.strptime(\"1999-01-01\", \"%Y-%m-%d\") + relativedelta(months=i) for i in df.index]\n",
    "                df['pos_rate'] = df['amount_pos'] / df['total_amount']\n",
    "                y2 = smooth(\n",
    "                        df['pos_rate'].values,\n",
    "                        window_len=window_len,\n",
    "                        window=window\n",
    "                )\n",
    "                y2_df = pd.DataFrame(y2, columns=['pos_rate'], index=df.index)\n",
    "                y2_df.plot(title='All together', ylim=[0, 1], figsize=figsize, ax=ax)\n",
    "            ax.legend(['new companies', 'big companies', 'entrepreneur/founder', 'executive/manager'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/antonio/.virtualenvs/nytimes/lib/python3.4/site-packages/ipykernel/__main__.py:56: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA58AAAHrCAYAAABIPSmCAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQOAInwAAAACAwBE+AQAAAACB+/+DcwQoCoW+DAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe85f288710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot(term_list=['entrepreneur', 'manager'], info='pos_rate', same=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/antonio/.virtualenvs/nytimes/lib/python3.4/site-packages/ipykernel/__main__.py:56: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6IAAAHrCAYAAADVMCAKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3XmcZHV97//XOaeW3qd7hp4ZBhgjEQ5gEIxLHmpEUBO9\nPxUjxuWqMYkQTUDFJVGuCUgENS5Ro4ko4L5EURKvxkiugOCGCgKyOQdZZJkZZnq6e3qv5Sy/P85S\nS9fWXdVd1cz7+XjwmO5aTn2rTtNdn/osXyMIAkRERERERETWi9ntBYiIiIiIiMihRYGoiIiIiIiI\nrCsFoiIiIiIiIrKuFIiKiIiIiIjIulIgKiIiIiIiIutKgaiIiIiIiIisKwWiIiIiNdi2/VTbtk/s\n9jpEREQejRSIioiI1PY64AnVF9q2bbR7YNu2u/b3t5uPLSIiEkt1ewEiIiLrwbbtFwMXAYPAPcCr\ngDcBhwE7gJOAA8CLgT8B/gx4kW3bW4Ep4HRgBLgFeIdt268H3gr0ATcAr3McJ2fb9nXAD4E/Ah4L\nfBv4a8dxfNu2feA84Czbtm3geOASYDuQB/7ScZxf2rZ9KvB+4AfRWvqAv3Ac54e2bWeBDwHPAzLA\npY7jvD96jj5wpOM4e8q/B44F3gc8AATRcxcREekafSoqIiKPerZtHw18EXiF4zi/SxjgfYowKPtT\n4Nzo8v2EAeWngF8Af+c4zkcBgzCw/GvHcd5h2/YzgfcApzqO81hghjDIjf0RcBphIHoK8IKy6wzH\ncY6Njvkt4POO49jAXwP/17ZtK7rdycANjuOcAHwS+Ifo8ncAxwG/Bzwe+FPbtsuPX8/JwKcdx1EQ\nKiIiXadAVEREDgXPB65zHOfX0fefJsxwWsAPHcd5KLr8FuCoOsf4jeM490Zfvwj4uuM4+8qOd0b0\ndQB8zXGcnOM4S8BVwDPKjvPd6N/jgHHHcT4H4DjOT4EJ4OnR9XOO43ynbF07yx77Esdxio7jLAJf\nKnvsRpYcx7muhduJiIisOZXmiojIoWAUOMW27V+XXXYQ2EKYzYz5hMFpLVNVx/sT27b/OPreBNJ1\nbjsNHF7julFgoGpNw8DmaE3l6/LK1jUKfNS27fdF32eBn9dZc731i4iIdJUCURERORTsBq52HOdl\n5Rfatv1uwh7KWLCC433BcZy/q3P9eNnXW6gdBO4BZh3HOb76iqhHtNFjf8hxnP+ucV0SSNu2Pdbg\nGCIiIl2l0lwRETkU/A/wTNu2HwvJ1iwfq3E7I/oPoAjUC+a+DZxh2/Zh0fFebNv2O8qO8RLbtjO2\nbQ8SlgX/qMYxHgAetm37pdExDrNt+6u2bQ80eS7/F/gr27ZN27YN27b/wbbt50XX7SXsBYVw6q/f\n5FgiIiJdoUBUREQe9RzHeQT4K+A/bdu+C/g48LXo6vIsaFD2/X8CH7Bt+8NVl+M4zi2EU2ivi473\nFsLBQ/Exfko4EOk+4FrHcb5X/ViO4wTAK4E3RuW51xNmbRdrrKv8+38jDGLvBH4N2JQC3b8HLrFt\n+2Zgnsry3lazvSIiImvOCIL6f5eiT2U/D2wlHB1/EfAy4PeByehmH3Qc53u2bb8aOJfw09dLHcf5\n7BquW0REpCfZtv0D4DLHcb7a7bWIiIj0qmY9oi8EfuE4zodt294JXA38BDivvDclKj06H3gKYSnT\njbZt/6fjONNrtG4REZFeZjS/iYiIyKGrYSDqOM4VZd/uBOLx9tV/YP8AuNFxnDkA27Z/Qjiq/r86\ntE4REZGNRGWwIiIiDbQ0Nde27Z8COwj3LnsbYT/L2wg3/n4jsJ1w77PYfipH1YuIiBwSHMc5rdtr\nEBER6XUtBaKO4zzdtu2TgC8TDmSYdBznNtu23wlcSDiUoVzTkqQgCALDUOWSiIiIiIjIo1TdgK9h\nIGrb9pOA/Y7jPOQ4zq9s204BdziOE2c/vw1cAnyTMCsaOxK4oeGKDIOJiblWFi89aHx8WOdvg9M5\n3Nh0/jY2nb+NTedvY9P52/h0DjeO8fHhutc1277lmYSluNi2vQ0YAj5t2/aJ0fXPAm4Hfg48xbbt\nTbZtDwFPp/aeaSIiIiIiInKIa1aa+yngM7Zt/xDoB84GFoDP2bY9D8wBf+k4Ts627fMINwwPgAvj\nwUUiIiIiIiIi5ZpNzc0Br65x1ZNr3PZK4MoOrUtEREREREQepZqV5oqIiIiIiIh0lAJRERERERER\nWVcKREVERERERGRdKRAVERERERGRdaVAVERERERERNaVAlEREREREZEOu/76a+te9+Mf/xDXdete\n/973XshPf/rjtVhWWxYXF7jxxp915FgKREVERERERDpo7949fP/7/1P3+q9//SsUi8W61xuGgWGs\nxcras2vXr/nFL37ekWM13EdUREREREREVuYjH/kAv/71XXzuc5dx990OCwvzuK7LW97yt9x3373c\neecd/N3fncvHPvZJLrnk49x11x24rsuLX3wGL3zhnwAQBPWPf+ONP+fyyz9FJpNhaGiYiy76J267\n7Va+8Y2vkUqluPvuXbz2ta/j5z+/gbvvdjjnnDfzzGeeyjXXfJ8rrvgqlmVh28dz7rlv5zOf+TSj\no2O89KUv57777uGjH/0Qn/jEp3nFK/6EU045jdtv/xVDQ0N86EP/wkc+8kEWFxfYufMxvOhFf9LW\na6RAVEREREREHrWuuPYebty1v6PHfMpxW3n5sx9X9/pXveq1XHnlFRiGwYknPoFXveq17Nr1az7+\n8Y/wr/96KZ/5zKf58Ic/ju/7HH74Dt70preRz+d4xStekgSijSwszHPBBRdxxBFH8t73XsjPf34D\n/f393HPPb/j3f7+SW275Je95z/l885vf5o47bueb3/w6T37yH3DZZZ/k85//d/r6+njnO9/KzTff\nhFEn9bp37x7+1/96Aeeccy5veMNfcs89v+HVr34t999/b9tBKCgQFRER6Zj5pSKDfam6f9RFROTQ\nsmvXXfz5n58JwHHHHc/u3Q9XXJ/JZJiZmeFv/uZ1pFJpZmYOtnTckZFNfPCD78PzXPbs2c3v//6T\nGRgY4HGPO4ZUKsWWLVs46qidZLN9jI2NsbAwz0MPPcCRRx5FX18fAE984pP4zW+cuo8xMDDI0UeH\nwfb4+FYWFuaBxpnalVAgKiIi0gH7Dy7xfz59A6967rE850lHdns5IiISefmzH9cwe7mWDMPA90uR\nm+97FdffcssvueWWX/Kv/3oZlmXxR390SkvHff/7L+Kf//lf2Lnzd/joRz+YXG5ZVs2vgyDAMIyK\nILJYdMlmsxUfnpYPUEqlSvePj9FJGlYkIiLSAdOzOYIADswsdXspIiLSZaZp4nkexx13AjfffBMA\nd9xxe5JhNAwD13WZnZ1h69ZtWJbFj398PZ7nNZymG1tcnGfr1u3Mzc3xy1/e1HDwUeyoox7Dww8/\nyOLiIgC33nozxx9/AoODg0xOHgDgtttubXgMwzDwvObra4UCURERkQ5wo0+8Xa+znxiLiMjG85jH\nPJa7797F7OwsjvNrzj33b7j00n/j3HP/FgjLYs855yxs+wQeeuhB3vjG1/Pggw/yjGc8kw9/+P0A\nDafmnnHGy/mbv3kdH/jARbz61a/lS1/6PJOTByqym9Vf9/X1cfbZ5/L2t7+Jc875K4491ubEE0/i\nlFOezY9/fD1vfes5zM/Pl92vcgGGYXDsscdxzTXf52tf+3Lbr5HR6RTrCgQTE3Pdemxp0/j4MDp/\nG5vO4cam89d7brv3AB/7xm2cevIOXvv84xreVudvY9P529h0/jY+ncONY3x8uG44rR5RERGRDogz\nocqIiohIJzzyyCO8973vXnb5ySf/Pmee+YYurKizFIiKiIh0gOv54b++3+WViIjIo8H27dv5xCc+\n3e1lrBn1iIqIiHSAp4yoiIhIyxSIioiIdECSEXWVERUREWlGgaiIiEgHJFNzVZorIiLSlAJRERGR\nDogzop5Kc0VERJpSICoiItIBpR5RZURFRKQ7rrvumm4voWUKREVERDog6RFVRlRERLrky1/+QreX\n0DJt3yIiItIBpUBUGVERkUPdwsI87373u8jn8+Tzed7ylr/lwgv/ntNPfwnXXXctRxxxJLZ9PD/4\nwdUcddROLrjgIvbv38f73/8eXNfFNE3OO+98AM4//zwuv/yLAJx11mu5+OIP8JnPfJrDDhvHcXax\nf/8jXHDBRdx00y+45567+Yd/eAcXX/zBmut673svZHBwkN/+9n5mZg7yrne9m2OOsbniin/n2mu/\nD8Azn/ksXv3qP+cXv/gZl112Cdlsls2bt3DBBReRSnUufFQgKiIi0gGer9JcEZFe9B/3/Be37L+9\no8d84tYTOeNxL6x7/fT0NKeffgannHIqN998E1/5yhcIggDbPp7XvOYvOOOMF3Daac/hssu+wEtf\n+kLm5+e5/PJP8aIXvYRnP/u5XHfdNXz2s5dy5plvqHl8wzBwXZePfOQTfOtbV3LVVd/lzW9+O1/9\n6hfrBqGl+3l87GOf5Cc/+RGf+9zlvOlNb+Wqq/6Lyy//EkEQ8Fd/9eeceupz+I//uII3vvGtnHTS\nyVx//Q+YnZ1h8+Ytbb92MZXmioiIdICGFYmISGx0dIzrr7+Gs88+i0su+Tizs7MAnHDC4wHYvHkL\nxxxjAzA2tpn5+XkcZxdPfOKTAHjiE5/E3Xc7DR/jpJNOBmB8fCvz8/Mtr+0pT3kqAI9//Ik8+OAD\n3H23wwknnIhpmliWxROecBL33PMbTjvtuXz4w+/jS1/6HMcea3c0CAVlREVERDoi7g3V9i0iIr3l\njMe9sGH2ci1cccVX2bp1O+effxG7dv2af/u3jwEGllUKv8q/hgDDMAiC8G9IsehimgZgVBzXdd3k\na9O0VrU2L/rgNAgCDCPMkkLpQ9RisYhlmTzvef8fT33q0/jRj67jne98Kxdf/AF27vydVT1mLcqI\nioiIdICnYUUiIhKZnZ1hx44jALj++mspFouUB3u1HH/8Cdx8800A3HrrLznuuMczODjI1NQkAJOT\nB9i9++GGx/D95n+DbrvtFgDuvPM2HvvY3+XYY23uuON2PM/DdV3uuusOHvc4m89//nJSqRSnn/4S\nnvOcP+b+++9veuyVUEZURESkA+IA1FOPqIjIIe/5z38BF1/8bq655v/x0pe+nGuu+X9N7mFw5pl/\nzT/903v4zne+RTqd5rzzLmB4eJgnP/mpnHXWa3nc447Bto8r3cOI/y1lTY85xub1r/8LLr3083Uf\nKZ8v8I53vJWJiX2cf/5FbN9+OKef/hLe+MbXEwQBL3rRS9i+fTvbtm3nLW85m+HhYUZGNvHKV76m\njVekxjMOgq59chtMTMx167GlTePjw+j8bWw6hxubzl/vufQ7d/KzO/eRSZt86u2nNrytzt/GpvO3\nsen8bXw6h6v3vvf9I6ed9hye9rQ/XJfHGx8fNupdp4yoiIhIB5QyoirNFRGR7ikWi7ztbW9cdvnO\nnY/pwmrqUyAqIiLSAXFJrucH+EGAadT9EFhERGTNpNNpPvGJT3d7GU1pWJGIiEgHlA8pUlZURESk\nMQWiIiIiHeCWDSlyNbBIRESkIQWiIiIiHVA+LddrYXy+iIjIoUyBqIiISAe4ZcFn0VVGVEREpBEF\noiIiIh1QXo6rvURFRKQbrrvumm4voWUKREVERDqgfECRq9JcERHpgi9/+QvdXkLLtH2LiIhIB2hY\nkYiIxBYW5nn3u99FPp8nn8/zlrf8LRde+PecfvpLuO66azniiCOx7eP5wQ+u5qijdnLBBRexf/8+\n3v/+9+C6LqZpct555wNw/vnncfnlXwTgrLNey8UXf4DPfObTHHbYOI6zi/37H+GCCy7ippt+wT33\n3M0//MM7uPjiD9Zc13vfe+Gy+x177HFceeUVXH31/2CaJs985rN45Stfw/79+zj//PNIp9OcfPLv\n86tf3dLRbWEUiIqIiHSAtm8REelNE9/4GnM33djRYw4/+SmMv+yVda+fnp7m9NPP4JRTTuXmm2/i\nK1/5AkEQYNvH85rX/AVnnPECTjvtOVx22Rd46UtfyPz8PJdf/ile9KKX8OxnP5frrruGz372Us48\n8w01j28YBq7r8pGPfIJvfetKrrrqu7z5zW/nq1/9Yt0gtN79hodHuP76a7nkks8QBAFnn30mp532\nXK644t95znP+mJe//H/zyU9+HKPD+2OrNFdERKQDXF8ZURERCY2OjnH99ddw9tlnccklH2d2dhaA\nE054PACbN2/hmGNsAMbGNjM/P4/j7OKJT3wSAE984pO4+26n4WOcdNLJAIyPb2V+fr7ltcX327p1\nG/Pz89x11508/PBDvOlNb+DNb/5rFheXeOSRvTz44G95whNOAuAP//AUgqCzH7IqIyoiItIBFT2i\nCkRFRHrG+Mte2TB7uRauuOKrbN26nfPPv4hdu37Nv/3bxwADyyqFX+VfQ4BhGARB+PejWHQxTQOo\nzEK6rpt8bZrWqtZWfb90Os3TnvYM/u7v3lVx+Ze+9Lllj99JyoiKiIh0QGWPqEpzRUQOZbOzM+zY\ncQQA119/LcViEWj8t+H440/g5ptvAuDWW3/Jccc9nsHBQaamJgGYnDzA7t0PNzyGv4JheXGG07aP\n4+abbyKfzxEEAf/yL/9MPp/niCOOZNeuuwD42c9+2vJxW6VAVEREpANcZURFRCTy/Oe/gK9//Su8\n5S1nc8IJj0+CyfoMzjzzr7nqqu9y7rl/w1VXfZczz3wDw8PDPPnJT+Wss17LZZddgm0fV7qHEf9b\nyloec4zN61//F40fqep+27Zt5+UvfxXnnPN63vCGv2TLli1ks1le9rL/zbe//R+89a3nAKvPwNZd\nR6drfVcgmJiY69ZjS5vGx4fR+dvYdA43Np2/3hIEAWd94AfJZ93nvOREnmSP1729zt/GpvO3sen8\nbXw6h+vj/vvvY35+jhNPPInvf/8qbr315mXlu82Mjw/Xre1Vj6iIiEib/CCoKLjyfGVERUSkO4rF\nIm972xuXXb5z52NWFEgODAzwoQ+9D8MwME2Td73r3Z1cpgJRERGRdlX3hBZdBaIiItId6XS6I/t9\nbtu2nU9+8vIOrKg29YiKiIi0yavqCfVWMCxCRETkUKRAVEREpE3VGVENKxIREWlMgaiIiEib4sAz\nkzaj75URFRERaUSBqIiISJvcqBS3Lx2Otq8u1RUREZFKCkRFRETaFAee2UwYiKo0V0REpDEFoiIi\nIm3yolLcvkw4jL6o0lwREZGGFIiKiIi0yfUrM6IqzRUREWlMgaiIiEib4uFEcY+ohhWJiIg0pkBU\nRESkTct6RH1lREVERBpJNbrStu0B4PPAVqAPuAi4DfgSYRC7F/gzx3EKtm2/GjgX8IFLHcf57Bqu\nW0REpGdUZ0RVmisiItJYs4zoC4FfOI5zKvBy4KPAPwKfcBznFOAe4HW2bQ8C5wPPAU4F3mrb9tha\nLVpERKSXuMum5qo0V0REpJGGGVHHca4o+3Yn8BBhoPmG6LLvAH8LOMCNjuPMAdi2/RPgGcB/dXi9\nIiIiPcetmpqr7VtEREQaaxiIxmzb/imwA3gRcLXjOMXoqgngcGB79HVsf3S5iIjIo57nKyMqIiKy\nEi0Foo7jPN227ZOAr1RdZdS5S73LK4yPD7dyM+lROn8bn87hxqbz1zv6HzgIwGFjAwCYltn0/Oj8\nbWw6fxubzt/Gp3O48TUbVvQkYL/jOA85jvMr27ZTwJxt232O4+SAI4A90X/by+56JHBDswefmJhb\n/cqlq8bHh3X+Njidw41N56+3TB9cBKBYcAFYWio0PD86fxubzt/GpvO38ekcbhyNPjBoNqzomcDb\nAGzb3gYMAlcDL42ufynwPeDnwFNs295k2/YQ8HTgR+0tW0REZGNItm/RPqIiIiItaRaIfgrYatv2\nDwkHD50NXAj8eXTZKPCFKDt6HvA/wPeBC+PBRSIiIo92ceCZTplYpqF9REVERJpoNjU3B7y6xlV/\nXOO2VwJXdmhdIiIiG0YceKYsg5Rl4rrKiIqIiDTSLCMqIiIiTcQZUcs0SVnKiIqIiDSjQFRERKRN\ncY9oyjKwLFM9oiIiIk0oEBUREWlTkhG1woxoHJiKiIhIbQpERURE2uSWZURTppl8LyIiIrUpEBUR\nEWmTF2VEU6aJZRkqzRUREWlCgaiIiEib4uFElmWQtpQRFRERaUaBqIiISJtKpbmmhhWJiIi0QIGo\niIhIm5LS3LJhRUGgYFRERKQeBaIiIiJtijOilmWQskwCwO+RQPSXzgQ/uX1vt5chIiJSIdXtBYiI\niGx0btWwovgyqwc+7v36tb9hKe/yjBMP7/ZSREREEj3wJ1JERGRji4cVxdu3AD0xsMj3A6bn8hTd\n7q9FRESknDKiIiIibaroEU3FgWj3S3NnFgp4foDnBwRBgGEY3V6SiIgIoIyoiIhI21zPxzDANA1S\nUWmu1wMZ0anZXPJ1LwTGIiIiMQWiIiIibXK9gFTUENpLpblTc/nka5XniohIL1EgKiIi0ibP85NM\naKpsWFG3lWdEiz0QGIuIiMQUiIqIiLTJ9QOsKBNqWT2UEZ0tz4h6XVyJiIhIJQWiIiIibXLLMqJp\nq3eGFVVkRFWaKyIiPUSBqIiISJvC0tw4IxqX5nY/8JuaUyAqIiK9SYGoiIhIm1wvSEpy44C0N6bm\naliRiIj0JgWiIiIibXJrDSvyu1uaW3R9ZhYKFd+LiIj0CgWiIiIibXL9INm2xeqR7Vum5/MV32tq\nroiI9BIFoiIiIm2qtX2L1+VhRdPRoKJs2gKUERURkd6iQFRERKQNQRBU9oimwn+7nYGcjALRrWP9\ngAJRERHpLQpERURE2uBFvaBJRrRHSnPjQUXbNg8ACkRFRKS3KBAVERFpQ1yCm0qm5vZGae7UXBiI\nbt8cZ0S9bi5HRESkggJRERGRNrh+mGm0zLhHtFcyomFp7rYxZURFRKT3KBAVERFpg1uVEbXi7Vu6\nnRGdzdGftRgZzADd71kVEREpp0BURESkDV4U4JWm5oZ/Wj2/2xnRPJuH+0hH6+lERvSGOx9h/8Gl\nto8jIiKiQFRERKQNcQluMjW3g4Hfai3lXRbzLmMjWdKpzqxn//Qil33nLv77ht+2v0ARETnkKRAV\nERFpQ3VpbjKsyO9eaW48qGjzcF/HAtGD8wUAFpbc9hYnIiKCAlEREZG2xBnRVA8NK5qOBhVtKcuI\nFtoMRGcXwkA0V1AgKiIi7VMgKiIi0obSPqLRsCKz+8OKJqNAdPNI53pEZxfjQFTbwIiISPsUiIqI\niLQh3i/UNOHm/bdRCHLR5d3LiE7NxqW5WdJpC2h/am6SES0qEBURkfYpEBUREWlDXIK7ZE7xmTu+\nzM1TN0aXd7NHNMqIbiplRN22M6JFAHJ5BaIiItK+VLcXICIispG50TYtvhlmDAt+Hujrao9oeUYU\nwlLhotteADmnHlEREekgBaIiIiJtSDKfRhSQ4kWXdzMQzTE8kCadsgiCcH2d6hHNqzRXREQ6QKW5\nIiIibYh7QQ0z/NcLwoxht0pzgyBgai7P5uG+cF2GQTpldmxqrusFDYPsXz8wzc/v2tfWY4mIyKOf\nMqIiIiJtSALOOBAlCkT97mRE55aKFF2fzSPZ5LK0ZbY/rCjqEYVwcu5Qf+3Psr953T08uG+epxy3\nFTOaICwiIlJNGVEREZE2xNnBICrJjTOiXpcyotNxf+hIX3JZOm22VZpbdH2W8qXe0EZ9ogs5F88P\nmFsq1r2NiIiIAlEREZE2xPuIxhlR13cxaH+7lNWaSvYQrcqIthGIzkX9obFGe4nmooB1Zj6/6scT\nEZFHPwWiIiIibUgyokYYnBV9l1TK7No+opNRILqlPCOaai8QnV1BILoUXTezUKh7m15w0679XHHt\nPckwJxERWV8KREVERNoQ94gGlDKiKcvo2rCiqbl465aqQLSNwHh2ISyzzaYtAPJ1AlHX85OA92CP\nZ0R/cMturvrFgyzmtR2NiEg3KBAVERFpg1cjI2qZZte2b6lZmpsycdvJiEbZzfHRfqB+j2h5pnS2\nxzOi8VqXcgpERUS6QYGoiIhIG+KA0y8vzbWMrg0rmprNYxiwaSiTXJa2TDw/wFvlJN+4R3TrWByI\n1s6Ilg80Ojjf24FovB/qggJREZGuUCAqIiLShqQ0NwgDG9cvkrLMrm3fMjWXY2w4i2WW/sRnopLa\n1faJxj2i46NhuW8rgWivDyvKR1ndtSjN3T0xzzs/9VPu3T3T8WOLiDxaKBAVERFpQxxwVgwrstor\nhV0tz/c5OFeo6A+FMCMKbQSiC3FGdABorTS314cVxWtdXIOM6P1755g4mOO+PbMdP7aIyKOFAlER\nEZE2xCW4PpWlud0YVjQzX8APgor+UAh7RKGdjGg4rGjraOuluTMbpDR3Md/5/U7jQD1XrD9dWETk\nUKdAVEREpA1xj6hXVpprdak0d2o2mpg7UpkRTcWB6CoHKM0tFMhmLIYH0kD9qblLZZnSgwv5nt0a\nxfX85IOCtRhWFG9hU+91EhERBaIiIiJtcWtkRC2LrgwrmpqLJuYOdzYjOrNYYGQgTV8m7DWtlxHN\n5UuXF4p+w/1Guylflqlcix7ROCOqQFREpD4FoiIiIm2It2/xg1LQkTLB8wP8dc4ITiZbt3SuR9QP\nAuYXi4wMZujLpID6PaJxRnRkMJzY26t9ouUB4lpMzY0D8FxRE3lFROpRICoiItIG1w+DTZdS0GGm\nonLddc6KTieluZUZ0Ux69YHoYs7F8wNGBjKljGid3selKCO6PdrmpVcn55ZnatdiWFGcGVZGVESk\nPgWiIiIibSj1iJYCGssKKq5bL1NzUSDawam58cTc4YEM6ZSJYTQqzQ1fg+1bwum6vbqXaHlp7tIa\nluZqWJGISH0KREVERNoQZz29stJcM9WdQHR6LkfKMhiKhgrF0qnV7yM6F+0hOjKYwTAM+jKpil7Q\ncnFp7vbNg0DvluZWZkTXYmquMqIiIs0oEBUREWlDkhH1S5k1w/Kj69a3NHdqNs/YcBbTMCouT7cx\nNTcOJkfXbidvAAAgAElEQVSi4LYvY5Gv0/sYB6jbNvd2aW55gKhhRSIi3aFAVEREpA1xIOqWleaa\nZtwjun4ZUdfzmV0oMFZVlgvlU3NXHhjNRXuIxgOI+jJW/X1Ek4xob5fmlg8RWptANB5WpEBURKSe\nVLMb2Lb9QeAPo9u+H3gx8PvAZHSTDzqO8z3btl8NnAv4wKWO43x2bZYsIiLSO1w/wDQMXL+sNDfO\niPrrlxE9OJ8nYPmgIij1iBba6BEdGSgFogdmcjVvu5T3SFkmW6KpvbMLvZ8RXcupucqIiojU1zAQ\ntW37NODxjuM83bbtzcCtwDXAeY7j/HfZ7QaB84GnAEXgRtu2/9NxnOm1W7qIiEj3eZ5PyjIo+mW9\nhl0YVjQVTcwdG64RiLaxj+hs1CM6nGREUxRdH8/3sczKwqpcwaU/a5FJW/RnUxzs0R7R8gAxX/Bq\nPpd2xAOQlBEVEamv2W/dHwIvj76eAQYACzCqbvcHwI2O48w5jpMDfgI8o5MLFRER6UWuF2BZZmVG\n1Ix7RNcvEJ2uMzEXSoGo20ZGdFMUiGbT4eCjWtm+pbxLf7TX6OhQhpmeLc0N196fDZ/LUp3hS6sR\nBEHy2hQK3rrvJSsislE0zIg6juMBC9G3ZwL/DXjAG23bfhuwH3gjsB2YKLvrfuDwjq9WRESkx7hR\nRtQtz4iaPmCu67CiqbmwXHZzhzOic4tFTMNgoC98y9AXBW+5gsdAX+V03qWCl/SSbhrMsHdyMXp9\nemskRRwojg33sZRfYDFXZKg/3eReLR676BGf9QAoFn2y0f6rIiJS0rRHFMC27RcDrwP+iLD89oDj\nOLfZtv1O4ELgp1V3qc6Y1jQ+Ptz6SqXn6PxtfDqHG5vOX68wSKdNlsq2b+nrCwOvoeG+uuep0+cv\n54bhz9E7Ny879niUmUxnUyt+3IWcy6ahDNu2jgAwNhJOxO0fzFYcy/PDTODIUHj5ti1D7HrwIKls\nhvGx/lU/r7VgRIHxts0D7DmwQLY/u+LXpd7tp2Yr+2cHR/pqDpCS7tLvz41P53Dja2VY0fOA/wM8\n33GcOeDasqu/DVwCfJMwKxo7Erih2bEnJuZWtFjpHePjwzp/G5zO4cam89c78kUXw/SrLssDWSYn\nF5ioMTxoLc7f7n3h8QzPW3bshfkwOJqZza34cafncoyP9if3C6Jy47375ui3Sp87L0ZDf1KGwcTE\nHNlUeN19D06BO7KKZ7R2DkbB4mCU5d39yAyb+lrPWjY6f3snFyq+3713BncN9iqV1dPvz41P53Dj\naPSBQcNaGdu2NwEfAl7oOM7B6LJv2rZ9YnSTZwG3Az8HnmLb9ibbtoeApwM/6sDaRUREeprrBaRS\nlSW4htGNHtEcKctgaGB5iWk8NXelpbmFokeu4CV7iEI4NRdKe2XG4u/j0t3RoTAA78W9ROPS3LiM\nebGDk3Ort7bR5FwRkdqaZURfAWwBvmHbdnzZ54DP2bY9D8wBf+k4Ts627fOA/yFsibgwyp6KiIg8\nqnmejxUFopZh4QUeQTKsaD17RPOMDWcxjeXdMXGPaGGF+4hWT8yF8kC08ljxpNh4WNGmofA+Mz04\nOTcOmuMJw53cS7T6dam356qIyKGu2bCiS4FLa1z1xRq3vRK4skPrEhER2RBcL8CMtmvpT/UxX1wA\nw4uuW5+MqOv5zM4XOOao0ZrXp1Nh8LjSjOjcYlhSGu8hCiSDd6ozfUvR93FGNJ6ye7AHM6K5oodl\nGslgpc5mRMNjDfWnmV8qktcWLiIiNfXWGDsREZENxvV8rFQY4A2kwqE8wToHogfn8wTA5hr9qLD6\nqbnx1i0jFRnR8DPsZaW5yzKiUWluD2ZE8wWPbNpiMJr6u5jvXA9nnAGNM8IqzRURqU2BqIiIyCoF\nQYDnB5jRX9O+VDgdNQ5EPX99SnOnZsOs41iNrVugLBBdYWAcB6LDNXtEa2dE+7OlfUSBntxLNFfw\nyGYsBqK1djQjGgXko1HwrtJcEZHaFIiKiIisUhxomlZVRpT1HVY0PRcGopvrbBMSDytyV5oRjXpE\nN62gRzS+fiCbImWZzCz0XmluvujRl7GSvVHXYlhRPKxJpbkiIrUpEBUREVmlONCMA9H+KCPqE5fm\nrlNGdC7cjmRznYyoaRpYprHqHtHhgVqluVVDeeLS3CjLaBgGmwYzHOzBjGhcmhuvtZPDipaS0tzw\nXFSXMIuISEiBqIiIyCrFgaZRNqwI1r9HdDouza3TIwpheW5htT2iA7UyopUBVlKamyntxzk6lGF2\noYAfrN/04GZ8P6Dg+vRlLPoyFqZhrMmwoqRHVBlREZGaFIiKiIiskhdnRM04IxqW5pYyor1RmguQ\nSZkrH1a0GA8rKvWIJlNzi3VKc7Olgfwjgxk8P2BhqXPDgNoVrzubtjAMg4G+VGe3b8lXluaqR1RE\npDYFoiIiIquUZETNOCMaB6JuxfVrbWouR8oyGCobKlQtvZpAdKFIf9ZKtn+B+j2icSawvywQjYOx\nXhpYFK87W9bLupjr5NTcKCM6qKm5IiKNKBAVERFZJdcPAzvDrOwR9YJoau46ZUSn5vKMDWcxDaPu\nbVIpa+VTcxcLFWW5AJm0hUGpJzS2lF9emhuXp/bSFi5xRjQOqPs7nRGNhxUNa1iRiEgjCkRFRERW\nqZQR7d6wItfzmZ0vMNagLBfCybkryYj6QcDcYoHhwcpA1DQMMhmLXHVpbmF5aW6cET043zuTc+MM\nZTYdrnMgm6JQ9DtWRp0reJiGwXB/OvleRESWUyAqIiKySknGMwpE01aalGHhBVFprr/2GdGD83kC\nYHODQUWw8tLchaUiQcCyjCiE2cTlU3PDACyTKr21GBnsvYxoXDqblOZ2eAuXpYJLX8Yq9dIqEBUR\nqSnV/CYiIiJSS5LxjANRM0XKTJcC0RX2ZK7GVDwxt87WLdO5g7i+Rzpl4no+QRBgNCjhjSUTcwdr\nBaKpZDhRbKng0p+1Ko49GpXm9lRGtKo0d7CvtIVLree6Urm8R182nMabTS/PHIuISEiBqIiIyCol\n5ZymBz6kzBRpM5X0iK5HaW6zibmX3v5FltwlhlPPA6Do+mTSVs3blpuN9hAdqTEAqS9tcXCuMrjM\n5d1kj9HYpsEwOJ7tqYxoaWouwEA2fH6dyojmCm6yh2g2YykjKiJSh0pzRUREVsnz40AzDEhTRoqU\nmcKNMqLeOpTmlgLR5RlRz/fYPb+XmfxsUjLb6sCiuWjrluE6pbn5olexP+hS3qM/WxngjgymMYCD\nPTQ1Nw4My4cVASzmOzM5N1fwkoFNfWlLw4pEROpQICoiIrJKXnlGFEhbKdJWKRBdj4zo1GwOgLEa\nPaKTuSm8wKPou6RSYclsq32icV/nppqluZX9j0EQhL2R2cqMqGWaDA+kmemh0txcsToj2rke0aLr\n4/lB8vpka/TSiohISIGoiIjIKsWBZkDcI5ombaZx/TgQXc+M6PLS3H2LE9H6AuKtQFsNREsZ0eWl\nudmqvUQLRZ8ggP7M8o6fTUPZnhpWVJ0R7eSwomRycPQ6xKW5QbA++8mKiGwkCkRFRERWKQ40AyMM\nblKGFZbmRoHoeuwjOjWXI2UZDNUIGONAFMBKhWtpNRCdXYh6ROsMK4LSBNo4AKsuzYUwo5oreD3T\nKxmXyiZTc7OlYUXtylUFuX1pCz8I1uUDCRGRjUaBqIiIyCrF27MERtQjaqZJJz2iAcX1KM2dyzM2\nnMWsMQl330IpEDVT4VpaD0QbTc2tzIjGE3SrhxUBbIon5y70Rnlu9bCiwb7ODSvK5Sv3Uq3OHIuI\nSIkCURERkVXyktLcKCNqpkibYWBjWcGaZ0Rdz2d2vsBYnYm55RlR01pZRnRusYBlGknGsFx1j2gc\naNXKiI5GE2RnemRgUf1hRWuTES1/TBERKVEgKiIiskpxyaUfleaG+4iGgU0qvfbDig7O5wmAzTUG\nFQHsLy/NteKMaGtB0WLeZaAvVXPP0VJpbmVGtGaPaJRR7ZU+0WRYUbTW0rCi9qfm5pIe0dKwovLH\nFBHphB/cspvrb93d7WW0TYGoiIjIKsWBpk8pEE1HgaiV8pPS3bUSDyoaq7F1y2JxibnifPK9GfeI\ntpilzRe9pHy1Wqk0N+oRzUeZwBrZ03hPzYOrmJzrPDidPMdOSTKi6aphRR3NiFaW5iojKhvRxMEl\nfv3AdLeXITV85yf3818//W23l9E2BaIiIiJN+EFQM5MYl97GpbmWaZVKc1NrnxGdmm0+MTdmGCsr\nzc0XvCTgrFad6YsD0v4at48zorMrzIjOzOf50L/fyle/f/eK7tdMvuBiAOl0+BYokzKxTKMzPaJ1\nSnOVEZWN6GvX/IaPfP3WlqsoZP0Uiv6jovdcgaiIiEgT19z0MG/+lx8vKy91/TDQ9AKPlGFhGmZS\nmmul/DXvES1t3bI8IxqX5Y5mNwFgWOGbllYD0VyhhYxovqo0t0ZGdDQeVrTCjOieyUX8IOA3Dx/s\n6PYnuaJHJmMlw50Mw2CgL9XRYUX9ybCi8F9lRGUjml8q4vkBCx34f0M6q+D65Isbfxq3AlEREZEm\nHtw/R77osW9qseLypEcUl1SUCU1Kc62g5TLY1ZqazQEwVqNHNM6IHjl0eHiB2XpG1PV8PD9IMp/V\nlm/fEpfmLr/98EAYiM4trqwHc990+FrPLhaZnMmt6L6N5AtekqmMDfSl12ZYkUpzZQOLtzrqxIc0\n0jnxllCu5+P7G3uPYgWiIiIiTcRvxKqDqfIe0ZQZBh2l0twgmaq7VkoZ0fqluUcO7QgvMMM3lYUW\nAtHqLU6qVW/fkmswrKgvY5GyTOYWV1aaWx7037d3dkX3bSRX9JYF2APZzmRElwqV29hkVZorG1ic\ncevEhzTSOW7Z7/D8Bv/dokBURESkibj0dKFqsmpceusFXhKAxqW5puUnGdO1MjWXI2UZDA2kl123\nf3GCrJVhS/+W8IIVZESrtziplmT6ojdBpYzo8kDUMAxGBtPMLqwwIzq1lHx97+7OBaK1M6IpXM9v\nuxeuOiOqYUWykRWUEe1J5R8mFhSIioiIdI4fBB3tCeyEeCpsdVYvzoh6QXlGNA5Eg7UfVjSXZ2w4\nm/Q7xvzAZ//SAbYNjJOJ1hNEW8y0Ui6cr9ripFr19i2ljGjtwHW4P8Pc0gozotOLZKNezvv2zqzo\nvvUEQUC+UDsjCrTdC1faTzU8XjKsqKA38rLxJIFovv2tjaRzisqIioiIrI33fvEmvnDVrm4vo0KS\nEV2qDCji7Vm8wE0youmyjKjn+WsWVLuez+x8gbEaZblTuWlc32XrwDhpK1xXPNm3pYxosXKLk2pJ\nyWk+3r6l/rAigOGBNIWi33Jm0PcD9k8vsWPLIEduHeSBR+Y7kl0uuD4BLA9E4y1c2g1E87X3Ed3o\nbxbl0JRUPCgj2lMKZZUbG31gkQJRERHpGX4QcP/eOe7d07gUc9cD03zp/zn465Q5jXukqrN6cWmu\nG7hJSW48tMgwAwLAW6NhEgfn8wTA5gaDirYNjCcBcpwRdVfSI7rC0tx6ty8NLGotK3pgNofnB2zb\n3M/ROzbhej4P7Z9vfscmqvcQjcUZ0XZ74apfBw0rko3K8/2kokM9or2lWFRGVEREpOPibF2zzNT1\nv9rDD27ezf7ppYa364QgCOpnROPSXN9LAtHyjCiwZgOL4ud+2Kb6g4q2DWwtC0TDta+kR7TesCLT\nNMikzSTwyuVd+sq2RKk2HPWwzi21VuIXDyraPjbA0YePAHBfkw8nWpEr1g6YO5YRLbhk06XXQcOK\nZKMqlAU7CkR7S0GluSIiIp0X9yQtNXnjEwcM69F7V3T9JKtZnRENy0V9fPwkAI3/NaLhQHH5bqft\nObAAwI7DBpddV54RzUSluX5cmus1f+OSK4ava70MJ4RZxThzulRw65blQlkg2mJGNA5Et20e4Ogd\ncSDafp9oaQhT5VoH+sL1tdsLlyt4FQOelBGVjao8wFFpbm8pH6pW2OC/WxSIiohIz4izdbmCh9cg\ngIsD1fV4g1+eDZivyoh6XpBMo40D0FQU+BlRRnStBhYlgeiW5YHo/oUwEN06cFiSEfUI197K9i31\nSljL9WVS5ON9RPNe3Qm7ACNRaW6rk3PjibnbNvezfcsA/dlURzKi9aYBx6W57b7hzhW8isnBmXTl\nNjciG0X5NFZlRHuLhhWJiIisgYpP4fP1/8DGb4yW1uENfnl2dn7Z1Fw/CUSrS3Pjy7012sJl94EF\nDAMO3zKw7Lp9ixOMZUfJWJkkEPVZRWluo4xoppQRzTXNiEY9oi1Ozt03HWVExwYwDYOjDx9m3/QS\n8y2W9taTZHprbN8CnZia61YEuSnLJGWZCkRlwykfgqPtW3qLSnNFRETWQHlfUqPy3MVoP8/1zogu\n5lz8suFDrh+AUTsQNYw4I9r5QDQIAvYcWGDraD/pVGVQlXNzzBRm2TYwHq7HCtfjBa0HovV6Kctl\nMxb5gkfR9XC9oO7WLVBemttaIPnI1CIjg5kkuH3sjk0A3L+3vaxovQC7E8OKPN+nUPSXvQ59GWvD\nv1mUQ09eGdGepam5IiIia6D8D2yjT+HjN0br0SNaHhAHwEKuFEx5np/0glZPzcWMezI7X5o7u1Bg\nIefW7A/dv3gAgG2DYSCaiUtzg85t3wJhaW4AzMyHWc6+RhnRwSgjutA8I1p0fSZnc2wf608uK/WJ\ntheI5upNze3AsKJ6/afZtJWUMDcTBAF33De5Jh9eiKxERWmuMqI9RVNzRURE1kArkxpdz09utx4Z\n0eoS4fLyUNcLkum4pX1Eo0DUWLvS3Lg/9Ijx+oOKtkYZ0TgwLvpFDAOKLayn1dJcgOn5PAD9mQaB\naH/rU3MnDi4RBLB1c6nkOA5E721zYFG+7tTceFjR6t9w5+r0n5aXMDdz+32TfOSKX/HTOx5Z9TpE\nOkEZ0d5VXppbUCAqIiLSGYWKHtHab37K3xStR+9dvI6x4XC/zspA1MdKhRnP6qm5cY/oWgwr2t1g\nUNG+xf0ApdLcaD1F3yWdMlfUI9ooIxoHc9NzYSDal20ctKYss6WpuXF/6PayQHRkIMP4aB/375kl\naGPv2PrDisLvl3Kr70GN+5WrM8PZFZTm7jkQPvcDM2u/LZFII3llRHuWhhWJiIisgXwLpbnlk03X\nY3/GeB3jo2Gp6PxiZUbUimKa6h7RwPCi26xdRrTZ1i0AhmGQNlMU/SJpq7VAtJUe0TiYOxiV5jbK\niBqGwchguqWpucnE3LLSXICjd2xiIee2tXdsrs7+qOmURTpltpcRje5bHeRm0xauF7T0czA1mwNa\n76UVWSvl1Smu51dsGSLdVd7CooyoiIhIh7QyrKhbGdGtcSBalhH1fB8rVadHdI1LcxtNzE2baUaz\nm5LL0maaol8kk7ZaekOZrxOwlYt7IQ9GGdFGU3MBhvszLU3NTSbmbq58bkcf3n6faK5OHyeEA4va\nmZrbqDQXWstcTEaB6GwLvbTN7J1c4Ppbd7eVQZZDV/zzapkGoKxoL6nMiG7sfnIFoiIi0jNa2buu\n/A1Rq0Ng2hGvY3y0D1hemmtatUtzA6KMqN/ZQCAIAnbXmZjrBz77Fw+wdeAwTKP0Jz5tpil6K8uI\nGgakU/XfJlT3iDYqzYVwcm6h6Dft6903FQaiceAf68TAony8fUuNTO9AX6qtN9vx4Kxlw4riQLSF\nD02mZsPXspVe2ma+9aP7+cJVDg/tn2/7WHLoiX8Xjw6Fg8bUJ9o7KgLRDb41lAJRERHpGeVDGOoF\nBd3KiI6PLc+IhqW5tbdv8ePS3BYCv5VoNDH3YH6Gol9MynJjaSvMiK6kR7QvY2EYRt3bJKW5c82H\nFUHZXqJN+kT3TS+xZSRLpiobu3PbEJZptDWwqF5pLoSB6FLeXXUGMT72su1bosdq5Wd1soOluQ9P\nhAHovW1OGpZDU5xpGx0Ke+MViPYO7SMqIiKyBloZVrTUtdLcsFS0PFvleT5m1bCi1BpnRFfSHxrL\nmGkKvksqZbY8NbdRWS7UmJrbQkYUGmf78gWP6bn8srJcCPs4d24b5qH986vuV6s3rAhgIJvG84OK\n8vCVyDUYVgTN3zDmC17yIUcr29w04np+0kt7X5uThuXQlGREoyFtSyrN7RnFonpERUREOq6V7VvK\nM6XrGYgeFpXmLlRlRA0zDDRTRhiAGIZBykzhx4Foh3tE44m5RzQIRLdWZ0TNyoxos6xfvuiRbZLh\nzKYre0Rr9V2WSwLRBhnRpD90bHkgCmF5rucHPLBvdeWmyfYtdTKisPrMz1KDYUXQ/Gd1ai6XfL2Y\nd9v6udk3tYgXfQDS7t6rcmiK/18ZU0a05ygjKiIisgYqp+bWzpwt5kuXr8cf4cW8SzZjMdSfxjAq\nM3qu75ftI1oKxNJrGIjumQyDtVoZ0YnFA8DyjGjaSuH6LinLIAhIgpR6ckWv4dYtUOoJjd8UNRtW\nNJKU5tbPiO6Lsni1MqJQ2jd1YpWTc3MFj0zKxDSXlxwPROuv93PXyrGh1rCi8LjNernistzYfBt9\novGHFQB7JxdX/Zzk0JWvyohqWFHviNsrVrI1VK9SICoiIj2jsjS39h/Yyozo2r85Wsq7DGRTmIbB\nUH+6IiPqeQFmnBG10snlYUbUTW7TSXsm5utOzD2wNAnAYf1bKi5PR5N801EZcaM+UT8IKBS8hlu3\nwPKAq7o3slrcIzrbKCM6FWdE+2teHweLqz3vYaa39jrjjOhqJ+c2G1aUKzY+7uRMGIjGJc7tTM6N\ny7cfs20YgPv3zq36WHJoKiQ9ohpW1Gvi1oShvrSm5oqIiHRK/ObHMo2KzGe5+A3RQDa1LhMDl/Je\nku0b6k8nGT0/CPD8ACMeVmSUApy0mV6TjGijibkAB5am6E/1M5iuDFIzUSBqpZsHosWiT0DtPspy\n1RnT6t7IaqXS3AYZ0SgQ3V4nIxoHeUurPO+5Br2vSUZ0lW+4mw0rap4RDUuc4+Cxncm5cSD6h084\nHFCfqKzcstJcZUR7RsH1MYDB/pQyoiIiIp0SZ0RHBjP1p+ZGl4+NZMkVvDXdJzEIAhZzbpKlGupP\ns5ArhkFolOk0zLg0t5QRTZspvCAORDu3vtnFYt2JuX7gcyA3xXj/5mXXpaNsbbznaaNANBedg+qp\ntdWqM39x4Pq9+6/mstu/hB9UPsbwYPOpufumlzANgy2b+mpeH5+HeoOsmomnAdcSZ0RXO5Ql6RGt\nN6yoWY9oVJr7O9F+qc2mCzey+8AC/VmLJ9lhibb6RGWl8kUPg/B3MSgj2ksKrk86ZZJNWxTW+G/g\nWlMgKiIiPSPuNxwdyrCUr/0HdjHvYhgwOpjB84OOBnrL1lP08YOgIiMaBGEwHGc6DSMKRK1SAJIy\nU3hB+MatkxnRPdGWHLUC0Zn8LK7vLivLhVKQnASiDdYU781anfEMgoDvP3AdD8/tCa8vm5KbSZmk\nrPAtxU37buXWidu5c3JXxf2H+5tnRB+ZWmR8tC85VrV4i5hcnbLtRoIgaFKaG66v3YzosmFFSWlu\nk4zoTA6DcJsagLmF1WVE44m5Ow4bZHQoy5aRLPftnd3Qb1Zl/RWKHpmMVfr/Qn3GPaNYFogGdH4O\nwXpSICoiIj2jUPSwTIPhgQx+FDhUW8qFPZtxRm4t+0TLy4AhDEQhHCSTDPwx49Lc8mFFadw1CEQb\nTcyt1x8arwdI+lkbZkTjvTarAqq9C/v41r3/zdUP/jC8vixQLc8CzhfDNX7/gesr7t+XsUhZZt1M\n30KuyPxSse6govBxoozoKs6564Wl1PWGMHViWFHKMpYF0a2X5uYYGcqweTjMBs8trS4jGk/M3bEl\n/Bl57I5NzC0WOTCTa3JP6SWu5+M8ON21DxDyRZ9symx7mrR0XqHokUlbye/gjdwnqkBURER6Rr7o\nk0lbSQay1sCixbzLQF8qyTyt5RYucbllkhEdKAWiSYAZB6I1p+YGTSfUrkSjibkHlqYAOKxmaW64\nNrOFYUVxn251Zm8yFx5/rhAOvklZpSxo3BfpBz4LxXCN987cz/0zDyT3NwyDkcF03YzovqloYm6d\nrVuAsp+Llb8pTrZuqbPNTCeGFdXawqaVjKjvB0zP5TlspK+lXtpGqj+sODoq9VV57sby0zse4QNf\nvYU7fzvVlcePg51MysQyjVWXw0vnxRnRTDr8/bsesxLWigJRERHpGQXXI5M2G2anwp7NVMu9d+1Y\nqpcRXSwFokaNQDT52vA7XprbbGLueIOMaDxYqejWf83i6a7VQ32mcgcBmCuW9vCMg9U4I7pQXCQg\nYDS7CYCrH6zMig73Z+pOzU0m5m6uPTG3/PFW8+FDnDlfy2FFtfpPW8mIziwU8PyAzSN9penCq5ya\nGw8q2hFtdXP0jjAQvVcDizaU+P+Hh/cvNLnl2ihEZeyGYTDQl9Kwoh5ScH0yUWkubOy9RBWIiohI\nzygUPbIpq245mOf75IteVWnuOmZEy0tzo97UwAgfv3If0Whwkel3rIe12cTciZZKc5sPK8rXKc2d\nyk0DMF8ovTGOA684IzpXCIPU39tyHDuHj+RXE3eyf3Eiuf3wQJpC0a/5xmnfdByI1s+IWmaYBVhV\nRrROD2esP/6Z63BGNA7SGwWi8R6iW0b6GOgLtwpa7dTcJBCNSnMfs30YyzS4XxnRDWUm+iDiwMzq\n9sxtV77okYl+z/RnUyrN7SFhRtRKBsopEBUREemAQtEnkzbrlmDGpboDfemW92dsx2KDQDTJdBq1\np+YCYHody4g2mpgLYWmuZVhJNrJcJlqPYYWvXys9otW9lJNRIDpXnE/61pJANHp95qNs6XBmiOfu\nfBYBAddEPaVQ2ku0Vp/oI032EI31Z1Kr2r4lV6wdYMeG+tL0Z1M8uG9uxX15QRCEGdHs8mPHWYtG\npbnxxNzNI9lwv9qB+iXMzcQTc8eGs8njHzk+xAP75jf0UJNDTRyIThxc/95ezw8/QMtGpZ8D2dSq\npwYaPwgAACAASURBVElLZ/lBgOuVhhVB5f7bG40CURER6Rlhaa5VVppb+eYnLtUNM6LRG/xVTFBt\nVfWwouH+MJAKA9HKjGjKLAUhcWmuscrSXNfzeWRqsSIgajQxF+BAbpIt/WOYxvI/7fH2LXE/a8Op\nuXUCtjgj6gc+S26YpYkzgPG/c1G2dCg9xMnjv8dhfZv52SO/TDKljfofH5lcJJMy2TxSe+uWWF82\nRa6djGid0lzTNDjhd8Y4MJNj3/TKslCFok8Q1M62piwDyzRay4hG29YMD6SZW0VpbvnEXMMwksuP\n3jGC6/k8tH++wb2ll8zMdy8jGveJx4HOQF+Kgus3/ABL1kd8DjIps9SeokBURESkPfGn8JlUKSNa\nXQ6WBIZ9qVLv3Rr+Ea4uzR3sjzJ/SwVcP3xDEDTMiPpJCe9KXH3Tw7zr0p/xga/cnPT2NRpUtOQu\nsVBcrFmWW7E2o3lGNCnNXdYjOp18HQeWpYxo+G88MXcoM4hlWjx75ym4vsv1D/8EKA9EK4Ms1/PZ\nM7nAEeODmGUBVC39GWtVU3PrlRyXO/Ho8PW7/b7JFR077j/tr1GaaxgG2bTVsIR8aiYPhKW5ACMD\nGRbz7oo/xKiemBuL+0Q1sGjjmFkIfyYmDubw13lybr5qL+GBNoaESWfFv7vTFT2iG/cDAgWiIiLS\nE+JP4TPpUo9o9RufOEM6kE0lvXfr0yMa/sGPS0vnl9xSjygeBkZFJrKyR3TlbxLu3xsGDHc/PMN7\nv/hLPvmft3Pn/eH0zFpbt0w0GFRUuZ4VlOaWBWwFr5gEnwBzUcCZrSrNTTKf6XAvzKcd/mQG0wP8\n8OEbyHsFRpLS3MqM6COTi7hewFFbh+quK9afTVEo+nj+yl7XZqW5AL/32HDi8B33rWxS6VKT/tNs\nxiLfoIR8MinNLWVEIcy8r0S97X1KgagGFm0EruczH/0/4np+kh1dL3EgOtl/Gx+48eP094U/1+oT\n7b5C2YcEj4apubVnmJexbfuDwB9Gt30/cBPwJcIgdi/wZ47jFGzbfjVwLuADlzqO89k1W7WIiDzq\nFNyyQLRuaW74/UJqHzfNPQActqb7iC7lwj/wcaA1kE1hAPOLhSTADAyflJGqKIVMSnNNb1XDiiYO\nLpGyTN7+ipP4xnX3cpMTDvwxDNheY5hPsnVL3/KtWwAyVmVGtNAoI1ojYJuOsqEGBgHBsoxo/G95\nRjR83AzPOuLp/Pdvr+aGvTcyOmADLJucG5eMHrV1uO66YuWTcwf7Wv88vVlpLoSB4BHjgzgPTifb\nV7Qi/hmsNawoXvNCg6BycjZHNm0x2FdZAj67UGB0KNvSGmD5xNzYts0D9GdTyohuEHOLRcp/a0wc\nXEp6ftdD/KHggrWP2bm9HJkNV6PJud1XOyO6cQPRhr/Bbds+DXi84zhPB54P/Avwj8AnHMc5BbgH\neJ1t24PA+cBzgFOBt9q2PbaWCxcRkUeX+JPebAuluQ97d3HH3C8xsotrmhEtLwWGsI9wsD/NfM4t\n9YjiVkzMhbLS3FX2iE4cXGJ8tA975xh//2dP4uw/+T12HDbISb97WM3g6ECDibnhesJANC4jbrR9\nSxKIlj1OvHXL1oFxoDSUKA68kmFFUYA6lC5lNp+24ykA3DN9X90e0VIg2lpGFFZeJphroTQX4MTH\nbqHg+tz90MHWj51vkhFNW02HFW3Z1Jd8mDE8GL1OK8yIVk/MjZmGwdGHD7NvemnFWVZZf/HWPfH/\ng+vdJxr/DgjM8P+xVCb8fjGvn51uq+gRPQSGFf0QeHn09QwwCDwL+HZ02XeA5wJPBW50HGfOcZwc\n8BPgGZ1froiIPFqVlxw1K831jegNkeWu6z6iQBiILhaS0lAfv2IPUWivNHchF07HHR8Np8cahsGT\nj9vKxWf9AW/+0yfUvE+rgai/gh7R8uxe3B/6mJEjgRo9opl4am48rKiUtd2UCctCF9wlhgdrT819\naP8cAEeO1x7EVC5+rJUOqYrfXDfKiAL83tFhVvn2FZTnJuXMNabmQvg6FYo+vr88O76Ud1nIuWwe\nKWW8Gk0XbqR6Ym65o3eE05SVFe19cX/oYw8PKwTWe3Ju/P+KT/j7L50Jf18oI9p9hUMpI+o4juc4\nTrxh2JnAd4Ehx3Hij0QmgMOB7dHXsf3R5SIiIi0pleaa9Utzo8DQI/wzZFjeuvSIlgdlw/1p5pdK\nGVEfb1lGNGXFpbk+bo3go5H90cTWraONtzEpNxGX5vbXLs1NR+sJjPD5NJqam6sxrCgJRIePAkrT\ncePzFO/BOVeYZzA1gFU2QdgyLfqsLIvFRYb762dEwz000zQTB3srHVhUGlbUuCvpmCNHyaRN7ri/\n9YFFjYYVAQ3fME6V7SEaS16nhdYzUPUm5sbUJ7pxxD2hv3tE+OHBgYPrmxGNPxT0og/8rHT4860e\n0e6Lq1nK9xEtbOBhRU17RAFs234x8JfA84DflF1Vb7Rd45F3kfHx5r0g0rt0/jY+ncON7dF2/h6Z\nDbMAo5v62XH4JlKWQdEPKp9n9AY7sKI3RJZLYBpr9loUPJ/+bIpt20aSy7aM9nPP7hkCM/wsNzA8\n+tKDFWsYmwlLTFOpAMOovb56a961O8xYPfao0Zaf13R+irG+TRyxvXZGNJ8dBSCdCV+/dDpV99jx\nW5ojd2zCssLnOH9vmAE9aeexfOM3UDBzjI8P84JTfpdMX5pTnryTbNpiwVtkU//wsmMPZwfJ+TmO\nOmKUdMpkqeAlt5mezTG7WOQPHr+lped72Oao/7Qvs6LzbkTP5fBty9dX7aRjxrnxrn34lsW2Gj25\nUHn+UpkD4WWHDdU89qbhMMgcGulftj3NAwfCacg7D9+U3Peo6P8Fr87PTi0PPDKL5wccfUTtn5un\n9Gfgm7fx8OTio+53x2r08mvgRm+jTz5uG9/72QMcXCyu63qzD4UfVgSGCwEMjoQBj5Wyeup166W1\nrJcHo+npY5v62b4tfP5Gytywr0Urw4qeB7wLeJ7jOLO2bc/btp11HCcPHAHsif7bXna3I4Ebmh17\nYmJudauWrhsfH9b52+B0Dje2R+P52x/tk+kWXA4cmKc/m2J2Pl/xPCejzEDODbNIhukxM5dbs9di\nbqFAX8aqOH7aDN8kPvxI+GbNCzwIjIrb5BbDT61NyyeXd5etr9H5u/fBMLs5kDJbel6u73JgcZqj\nNz2m7u3nl8IMy1I+fN1mG7xmcwsF0imTqamF5LK9B/djYDDkjmJgMDl3MLn/c07ewezBRfzAZz6/\nwNa+8WXH7jP72L90gAMH5hkeSDM9W3r8OPO4dVNfS8/Xj6bP7puYY+Kw2kFiLQdnw5+dxaqfqVrs\nIzdx4137+OFND3LqE49Ydn31+ZuIXqtirlj72EEY3u/ZO4NX1Wd3/0NhtrnPKv0MJc/xwHzLP9t3\n3L0fgC1Dmbr3GR3K8ODe2Ufd746V6vXfn3uiUvVUEDA2nGXPROs/B51wIP559sOf1aV8GPzsn1zo\nmdet18/hWpmI+sCL+SKLc+Hv85nZtfsb2AmNguRmw4o2AR8CXuA4Tty1fzXwp/8/e28eLUl6Vwfe\n2CO3t29Vr5au6up+1epSt5ZuSd0WEiAMEiCYg8zAwAFkzmEwZvBoZmwfM8NmLDxzhIWM7YE5ArPb\nWBISEggJgRartXRLXVJv1V37vr0998zYY/744vtiyYjIyLdUvW599xwddb3Mly9eRr6I7373/u4N\n/vtdAD4N4GsAHl1aWhpfWlqqAngcwJe2edwcHBwcHN9CsBLddSVNHrDmUqus6RLFSLgDM6LR+VAA\nqAaBO43APuf6TqxDFAjDigTJH3lGlFpzZwtaczeNOnz4mfOhAKAEqbluMPM1LDV3sEO0gQltHIqk\noKKUY1UuFF27Bx8+aurgnGdZKcN0LTieg1pJjaXmjhJUBIDV9uxWWBEAnBixT3R4WFF21VBY3TI4\nI0pDa4ogKzE3iulxHfW2OXL1DcedRTM47xNVFbMTJTTaZu5c906DWMg9eKChRYSQcmvu3Qez5ioS\nVPUVPiMK4EcATAP4yNLS0heWlpY+D+A3APzU0tLSEwAmAPxxEFD0rwB8BsDfA/i1s2fP7l1qzsHB\nwcGx52A58dnEsianhBXZEACYHiGiiurt2oyo7/vomy5LaaWoligRNQH4qTOi9N+iNHpY0VqjDwHA\n7IQ+9LlAOB+a1SFKjicIK0KRsCInRkRdz0XDbGJKJ/beqlJhoURRtFlibjoRBYCe00etrMCyPbZ4\nYkR0vhgRpXOY/a2GFRUgonMTJcxPlvDS1Xqh80c/g8nPCoWWs2DcSJkRLesyREEYKTU3KzE3iukx\nHa7no9G+s72UHKOh1TEhCGRDYma8BB/h5+ROwLJdQAo/q34wK9rnYUV3HVZKau7LmYjmWnPPnj37\nQQAfTHnou1Oe+1EAH92h4+Lg4ODg+BYDDVxQZbJHWtZlWI4H2/GgBF/rmQ50XYDjkQWRpHgwu7tz\nEzZtF57vZxLRZscCBBJElEzNlQPiJ0r+yD2ia40+JmoaFLlYh+VGkJg7nRFUBABqcDyOH4QV5RBR\nw3Jj3ZV1swkfPqaCjtKaWsVKbw2u58ZCiSg5ramDhLIiE3W3Z/diibDaeAnXVzvQVKmwAlzSaI/o\n6GFFkihAlop1j544Oo3PfeMGLtxo4vjh/Ea6PusRJcd2s3Mbv/WN38HPPfzTODZxJNZ9msRm04Ag\nABORpFtREFAtK2iPoIjmJeZSTI8TsrsR1MVw7E00uxZqZRWiKLANqbVGP7VDeDdg2i4ghp9VElok\ncUV0DyDaI6rKIgQA1i66gnYbxZugOTg4ODg4dhFp1lwgbsHsmQ7KkbWYpHgjE5KioIobrZKhiCmi\nwWJtsL4lVETdERRR2/Gw2TILkzIAWAuIaJ4iKokSREGE6w9PzTVtL2ZfpYm501QRVavw4aPr9GLf\n107pEKWgimjX7se6RG3Hw/JGDwdmKxBTkl7ToG9RETVst5AaSvFqWuNSID2X1bcEr3+peRWGa+JS\n4wqAUOVP+6xutAxMVLUBglwrKwPpwlkYlphLMTNOPlcbzTtbB8IxGppdC+NB1dFMcC24k8m5lu1B\niCiitm9BFARe37IHECWigiBAVSSYL+PUXE5EOTg4ODj2BMxIfQsQVoPEiKjhQNdDhVGUXRi7ZEui\nu/9Zimi7ZwMCOeYsIiqI3kiK6HqzDx+jVbess+qWbCJKj5GGj2Qpoo5LrMRp1S1TOlEFawHRTM6J\nsg7RlBnRCrPm9iJE1MKt9S5cz8fBueKJj6Vt1LcUmQ+lWDo0CVkScapAn6hhxWt+usF70bbjfavJ\neWbX81BvWzFbLkWtpKBnOoWswSubPbien2vLBUL77/odtHlyjAbTIpVUlIjSTak72SVKFNHw78tw\nDZR1mSuiewB0hEUNHDOaIr6srbmciHJwcHBw7AkwRTS4wVIlknWHemQeVEsQUcv24I3Y1VkEdB6K\nEh8KSkQBQjQBDPaIBlZYQfLgjBAMsxaoHrOToxDRDWiSmjqbGYUqKrA9B7IkZhJRK2WOciNJRAOi\nOUBEg3/X0hRRmSqiPYwxa649clAREIYVGVsIK9KHdIhGoSkSlg5N4PpqB/W2OfS1BSHcRKGknPat\nMkU0sWBsdix4vp9qkx2rhO/TMNwKKh32zwwhotSa27yzvZQcxdEMgrwYEQ3O2dodPGem7UKIWHMN\nx0RZk9Ezis8sc+wOoooogEAR5USUg4ODg4NjW6AzolrCmkvtYNSKqWghiaL2sd24EVMCnJWaCwDI\nIKJRRdQdQRGlqkdRRdT3faz3NzBTms61ZJJjUmB7NhQ5m4imJcsyRbREiCi13iYDi9q5iujgjGir\nZ4VEdLY4EWVhRSPORaWlAQ/DiSPEnnvmWj33eYZJSC49B12bEMPOEEU0LTGXolYKZ2mH4TYNKhpC\nRGfGKBHliuheRStI4x6rkvM/VlGhyiLbpLoTsGwvFlZkOAZKXBHdE2BZCsGml6ZKbAPx5YjiW4Mc\nHBwcHBy7CGY5yrDm0kWQokZIVGAfM6zBdNvtop9hza3oMgQAPjDcmit4cD0fnu8XmoEctbqlZXVg\neXbufCg7JklG3zYCIpq+cKGEPm7NJe1tUxqZEaVhRFmKaOqMKFVEnT4OR2ZErwd9iYs5lSMDv4cs\nQpaEkRRR1yOhV1Gl97PXvogzm+fxTx/+aYhC+r78YkDshpEAw3Jir01JOv3/rNRcSghTrbn0fSqQ\nnHtrg/ycfUPCbDRVQrWkYL2Vr/By3D00u+TcjFfI5oQgCJiZKGH9jltzw89q3zVQ1mRYNrHuFw38\n4th50Gv3397+a1TqClT5KFdEOTg4ODg4toukNZcpogHhoFZZSYnUCjAiuvM79VlEVBLFMMBITCei\n1JpLHy8aWEQJz1xBa+56EFQ0bD4UCBVRVRYzw4qYIpqYEa2pVdZFSoloJ2tGVBkkQ2xG1O6hRi2n\nXaKIzk2URt5E0FV5JEXUtOJqOwA8t3YKpzfPoWm2Mr9vKiCIm0OIG7H9hq/dtYgiSsl6GFaUpYim\nENHI+zQMyxs9qIqIqQJJuNPjOjaaBjx/5+3sHNsH7Sem1lyA2HN7poPuHbLGmrYbCysyHCN1Zp/j\nzoPWt1xqX8CLG2egKSIc13/ZdgNzIsrBwcHBsSdgJcOK9Lg1lxJSUY7224WK6E4ji4gC4ZyoIAR2\nYVGJPc6sugERLRpYtNroo6TJqOjFiFlIRLOrWyhUUYE1xJprJtJfPd9D3Wiw+VAAqAWzqDSIh6Jt\ndVCRy7FKF4pyYM3t2j3Ugvfu2moHXcMZaT6UoqRJIy2I0zpEKUmsm83M76OW2c0h4T5EEQ3PWVQR\n9X0/05pLCe5MRlgRMHxG1PN9LG/2sDBVLqS6z4zpcFxvpGoYjjuHZneQiM6wwKI7Y8+1bBdyxHnS\nD6y5ALg99y6DXrttz4bhGGyTy3qZJudyIsrBwcHBsScQzr4EYUUJRZQS0igR9YKi9eQCfyeQNSMK\nRAKLqCIqpFtzERDVIsmnvu9jrdHH7IQ+dN6TYlRF1PM9yFJ2ai4N06FW0pbVhuu7mI4SUWbNjc+I\nduxu6nwoEFpze04fuipBlsQtBRVRlFR5JBWcPleLEVFy/HUje/5TV2WUNRmbOWFFpu3CcX2UI6FW\nNDXX8RyYrgktIKnJsKJcRZRZc/MJ40bTgOV4QxNzKWhgEU/O3ZtoUWtuNaKIsgqXYudsuzODpu1B\nlsNrhOGa4fWYV7jcVZBrtw/bs2F7DpTgY/JytedyIsrBwcHBsSdAF080DZD1iDJFlJBOQQoXQi7I\n13ZTES1CRBUpac2lRLS4ItroWLAdb6TqlrWguqXYjCg5Zlnxh6fmBpsByeoWACjJJYiCGJsR9XwP\nXbuXOh8KAKqkQBEVdO0eBEHAWCVUkLdCRHVNhmG6he2lydlX23NguGRRn6eIAoQk5imidM6Tkkny\n2iFxbVtd9n6mhRWVNGmgqxYIU3Nb3XxF9HYwH7ownT8fShEm53IiuhfRzLDmAsMV0avLbfy7//YM\nfu63vohz1xtbPgbLdiHJdJNNguM50DWyOcYV0bsLyyHzuz5JKWCjKpyIcnBwcHBw5KDeNvGbf/4M\nbqx1Uh+3HBeKLDJ7YbK+hRJSPyCiuqTBgQ3Ah2HfuRlRIEJEhXRFVBAEyKIMP1BEi8yIbrW6RRRE\nTAZBQnmg9mFZ8UmAUkrlTTI1d7M/SEQFQUBNqbBEWIBYbn34rNolDRWljF6QJksTYYGtKqISfBRX\nwpOW4+h8a93IX7BPjWkwLDdTCVoPCB21T3btpFLcgaKIEACYERXXdjxsNI3UoCIALF14WGrurfWg\nuqWgIsqTc/c2ml0LsiTGrjusSzTjnK03+vjgX7+If/1HT+OlK3X4PnDy7OqWj8GyXUgKuWaNa2MA\nwpC4PldE7yosx4tV6zAiugubsXcCnIhycHBwcNwRPHdhHaev1vHchfXUxy3bgyqHt6WyRohTMjWX\n2nHJAskHRG9XFNGekUNEA9tkVo8o/RololnhQFHQxNxRFNH1/gamtInUuczB4yHHLMqEgKapoiYL\nKyK/D+0QjVpzAaCqVmPW3DZLzM0mQ2W5hK5DfkdqOy1pcmqH5jDQc1L0vCcJdnS+tYgiCmTPidJO\nzpng96DVLRQduwtREKCqUsya+xf//SIMy8Xxw+F7a3sO/u7qF9CzeyjrMkRBGJqau7wZJOaOqIhy\na+7eRLNrYbyixuz5MxPpiqjv+/jYExfxf/7eU3jqxRUcmq/iPT/8EFRZxOmr+ZVDeYiGFVEiKqvk\n31wRvbuwbQ+KFu/SBviMKAcHBwcHRy6WN8kCPWshY9oumw8FAF2TIACsRJ0SQw+BdU0bJ08UnV3Z\nDe6bDoTgOJIYUERTiChRRGlq7nALKVNECxJRwzHRtjuF5kMBQA3swzIloink2EiE+qRZcwGgplRh\nuAZsl5wbGs5D50fTUFHK6Dt9eL7H1L6Ds5XC87BR6CMmeJoJy3GUROfNiALANA0saqcTN6pSUSLa\nCV6bvmeUpOuKxD6nz15Yx9+fvI5902W86y33std6ZvV5fOLip/HU7ZMQBQHVsjI0VOjWRg+iIGB+\nSHULxQy35u5ZeL6PVteKzYcCZFa5WlKwniCiz55fxye/ehXjFRU/885X4Vfe/SgeuncG9x0Yx821\nLgs+GgWu58FxfYiUiKqEiFLljc+I3l1YjgtFCe8nghzkJHBrLgcHBwcHRzYoEc2ydlmOFyOioiBA\n12T0zPhOvBPMhU4EO/WC5O6OImq60DUpNYl0IKwoVRFVmCJapHaBVbcUJKIbBpkPnSkXI6JUEZUK\nKaKUiAYdonrc+ssqXAIC2s7pEKUoswqXPlNED87VCh17EqWAKPcLBhbRz46Was0doojW8itcmDV3\nnJw3+p4slOeCnxV2iRq2i3rbxB/8zWnIkoh/8oMnYgFKK11ip2xYpFKmVlZyU3N938ft9S5mJ0uF\nux3LuoKSJrGgJI69g57hwPX82HwoxexECetNg1nqPc/Hx750CYIA/O8/8ho89uACu1Y9cA9J0T59\ndXPkY2DKWkBEx4LrLFXe6Kw+x92B7XiQlfDaLUiciHJwcHBwcAzF8gYhot0sImq70OT4bamsSeib\ncUXU9k0oooKyHBA2afcU0ax+S0pERSnfmkutu2euDQ8OWW30IYlCaoJqGtaCxNwiQUXkeOLHTIvR\nozCTM6JGHWW5BF2OH1OYnEsIHesQzZsRDc5X1+mxIJ4Dc8XmGpOgiqhhFjvvjSD1dqJK1E1qzRUg\noG13mLKbBlrhkkXcNpp9yJLAVCw6I7pQmYv9LF2RYJguPvhXL6LTt/Gjbzs2MB+70lsj3xO8r7WS\ngp7pZKYut3s2uoaDfQXVUIrpMR3rTQM+7xLdU2h2gsTcVCKqw/V8NILnfO30Cm6udfEPTuzDvsR8\n8AOB3fv0ldHtuYzQBHOIE4EiSmfzuSJ6d2E7HpvfBQCfE1EODg4ODo582I6HtWCWLs2a6/s+mRFV\n4jbYkqaE9S3B/5uuBV3WoEmEIAiiM1KVR1H0TSc1MReIElGykE/2iAKBSiq4EAUBpy5tDP15q/U+\npsd1iOKI1S368A5RIEzNDYlomjU3VA5938eGUR+YDwXCWdA27cukxKmQItrDGx+Yx1se3o9Hj89l\nPt/zPXzk3Cdwav30wGNMES1ozaX1K5M1LThectxz5RkAw7pE8xXRtQYJHKJqVCdJRCOKqGm7OHu9\ngdfdP4vveO3iwGtRItoy2wDC5NwsVZQm5u6bGY2IzoyXYFpu5qYQx90BtdKOZSiiAHFOOK6Hj3/p\nEiRRwA+8+Z6B5x6er6GsyVuaE2WERnAgCRIqavDZEoMNQT4jeldhJRRRL+jS5kSUg4ODg4MjA6v1\nHqj40kuxqbqeD8/3oSoJRVQPazp6hoOSJsF0DZQkHXpARCG5A/2M24Xv++hbOYpoMONISZ2cEhak\niAocz8GxxTFcut1CJyd0pm866PTtEYOKAmtu0RnRpCKaorKxdFlFQsfuwvbsgflQIGLNDQhou5Ai\nSha0XbuH6XEd737HcZT1QQJPcbV1Hf/9xlfwmatfGHiMVfsU3ICoB0SU2myp4niwRshgw8xWrCdr\nGgQA9ZQZUcMi520mct46QVjRQnk++Df5WVRlnhrT8O53HB+YjfV8D2t9EuRFVVSaLpyVnHt7Y7TE\nXIppnpy7J0GJKFXuo5hhFS4Gvvz8baw1DHz7axeZJTwKURRw/PAk1psGVodUviRBrbm+6ECVVOgS\n+bmeGHemcNwd2I4LUY4SUfKZsXhqLgcHBwcHRzrofCiQvpCh/ZWqHCd0ZU2GD8AwHaZQ9l2TKKJy\noIhKTmGLZlEYlgvfT0/MBQYVUTlFEVVEGY7v4sEjU/B94KUr2fNaW61uAYCZUjFFlM6xCgERTUtZ\nNIOvaaqUGVQERKy5AWHqFJoRJb9bzym2MD5bvwAAuN6+AdeLn19dHc2aW2+bqOjyQGruodoB8njO\nnKgsiRirqKnW3I1EUBEQWnOn9AmoosIUUqqa/s/vfDCcMY5g02jA9sjfBlVE6SxtVnLuLaqIjkpE\naWARnxPdU0jrEKWgiuit9S7+6iuXoSoivv+xw5mvFdpzR5sTpcqaJzjQJBWlwJbv+BYEobgLgWPn\n4Xk+HNeHJIXXbjcgomZGN/ReByeiHBwcHBy7jigRTbMDUgKUVEQpEewZDnqmA12TYbkWdEmHJgWL\nNdHdcVsSXWxlWXMrQcepkBNWRL/2wBGS7vvCxWx77laqW9b6G6gp1YH5zSxQRZR20KUroiQpWJXF\nzKAiICScAzOiSrZFlFpzk/UmWTi7SYio7Tm42b0de6ykjRZWtNkymC2XHrciylioENVyc2iXqI56\n24SXmKlMJuYCoe23olRQVavs3z/6nffh//7ZN+H+g+mdr9SWC5D30/M91Kg1NyP9lCqiCyPOa31U\nhgAAIABJREFUiNLjXeeK6J5Ci1pzq4NElKrun3/mBhodC//wkYMYT1FOKV51T0BER7TnMiIKQkTp\n9cV0TZQ1mVtz7yLoOIUgh/c7J0iRt7g1l4ODg4ODIx00qKhaUtA3nYGQFCsIzknOiJYDwtc1HBim\ng1KJfJ8uh9ZcSXF3fEaULrayFFFaOJ/fI0qI38KMhrGyghcubw4QGYpRq1tcz8WmUS+shgLhjChN\n+k2fEXWhqRIEQWCpvFMpPyMZVtS2OqjI5dw+U2rN7RUgopZr41LrKvv3lea12OOlEcKK+qYDw3Jj\nIVBtq4OqUsVkUAFUz7HmAsRO67j+wKzmRiIxFyCKqCqpUCUFVaWCtt2B7/vQVCn3/K4GRFQWJPjw\n0ba6qAXKad6M6ERVZX8nRTF9lypcOn0b/+aPT+LFy6OnuX4roNnNDiuaqmkQBQGW7aGkyXj7Gw/l\nvtbCVBkTVRWnr9YzrztpoITGRVwR7bsGSprMrbnbwMkzq/i3f/aNLd+v6H2SVusAgOOTz8xuBPbd\nCXAiysHBwcGx61je7EESBRyar8L1/AEFk9pENTkZVkQW2JstAz4ATadENLTmyoq34/Ut/SFEFAC+\n83WLmJsix5CVmgsAru/iwSPTaHUt3FjtDDwPGL26pW424fle4flQcjy0+5S8V05GfUuYmJuniNKw\nolARzZsPBSKKaAFr7qXmFTiegwenjwMArrSuxx7XR6hv2Qzsp1QR9X0fHbuLmlrBZPC7DSWirMIl\nTtzWgwCumCJq99j7U1OrcDwHppsedBQFVUQPjx0EALStdsSaO6iIGpaDzZY5si0XiMyI3mFr7tlr\nDVy+3cILBcK7vhVBZ0TTiKgsiSzB+R1vPIRKznw1AAiCgAcOT6Hds3FzrZv73CjItdmHCzuYESU/\n03AMlHWuiG4HXzu9ggs3mriecR8YBqaIRoio5QfWXK6IcnBwcHDcDbiehxdz1La7Dd/3sbzZw+xE\nCbUg5Ce5q85mRJNhRQERXA8WzKpGbsTEmnsniGi2wveut96LfTNkQZ9nzbU9B68+SlTFrAX46oiK\naDgfOgoRDY6RWnOzFFElrG4B0mdENUmFIiroWMRC2rV7ufOhAFChM6IFFFE6H/qWxcegSzqutNIV\n0SLzamFQEfm8mK4F27NRVasoyTpKso76EGvudEAABohoI8Waa3eZRZkSUmpdzgMlovdOHAEAtKw2\nS09tdQcV0a0GFQFk9lSVxTuuiK42yDFzMpOOZtdCWZOhyOnXnaWDE5ibKOG7HjlQ6PWYPXeEOVHL\n9tg1QpM0Zs01HANlTYZpuXC9l+c84t3GSjCiQmeBRwW9ZvtihIh6gSLKiSgHBwfHKw9Z/X17CU+f\nWcX7P/Qsnnju1t0+lFS0+6TrcGGqzCyE2UQ03ZpLF8yKGhBRWWM79aLi7jgRpQvlvFRXAHCCcJk8\nRdTxbDx4ZAoCgFOX0heEq/U+xisqUyOHYdQOUQBQpbgimpWaqwfnoGE0oIoKs9RGIQgCamoVbauD\nrt2DDx+1YYooTc11ChDRzQsQBRHHJo7i8NgBrPTWYgS2RMOKCpz3sLqFLKhpii2tmpnUJnLDioDs\nCpf1pgFFFhlhtAKSWwkIKFWJqYU5D6u9NUxqE8xu3bY6bOMmLTWX2t1HrW4ByPmbHteZonunQGeh\neeBNOpodi/XRpuGnv+8BvPdn3sjCuoaBBha9NMKcqGm7jIiqkgpNUiFAQN8xIxtAL0/Sczfh+T77\n/Nc7wx0SabDo5qEY/v2YLrk3poXPvRzAiSgHBwdHBr55bg0//4En9vw8E725ff2llbt8JOmgC+aF\n6TJTOJOKCE38y1REAyIqq2QBVIoooqLswrTcgbnT7YAutPIUUQAs5TQ9NVdhz6mVVdyzbwwXbjYH\nFuGO62GzZRZWQwFgI6humR5lRjQ4Hl9InxH1fT9mze3YPVTV6kDNCEVNqaJjdxjJoupfFjRJhSxI\n6Nn55Kdn93GtfQNHxg5BlzXcM0Zm4a62brDnqIpYOMGTWXMDVZMeL51zndDHYbgG+jmWYfq9SSvr\nerOPmXGdvUdhaFNgzQ3I7jBF1HBMNMwm5suzGFNrAIgiWtZliIKQmprLEnNHDCqimB7Tyez1LnTw\nZoET0Ww4rodO30615VIIggBZKr50nxrTMT9VxtnrjcKbqpbtMuunJqoQBRGapMFwjchGYnYVFUc6\nGm2TEcmtKqJ0RpRuFFSVCgyXK6IcHBwcr0hcX+3Adjz86WfO7ulEOjpXdPZ6g/33XgJNzN1XRBGV\nJXz8wqfwpZtPAgBKCUVUCtICyYwoWbAJEukZTbOabhXDUnMpHEZEBwlr1JoLAK8+OgXX8wdSLG+t\nd+H5/khEdCuKKCWiXqCIskVNANvxyBxuQES7Tg+VnBTcmlqB7Tks1IgSuywIgoCyUh5qzT3fuAgf\nPpYmjwEA7glmJi9HwosEQUBJlQspM0lrbpKITmnBnGiOKkpnKqm6CpDPSNdwYkFFSSJaZaFO+UR0\ntU9suXMJIioKAqplJTU19zZTREe35gJ3J7BotU6OmRPRQbDE3BwiuhW86p5JmJaLK7fbhZ4fVUTp\nNbYk64E1l1xDuLV6dKxEkuObW1REbdrxKpD3f1wbg+EakCVORDk4ODhecaCLpdVGH5966uqQZ989\ntILdVd8Hvnl29S4fzSCiiigN2OgmdtSprUiRBXz22hfxxA1CRENFlCgpAiOiYWquIJHzZOzgjZgS\n5bywIoCQTEmQIAqDt9OoNRcAThwlpPFUZE601bPwu594MXi8uLq53t+AKiqMtBQBTc2li5gkcafv\nn65IsD0Hlmul2nIpKMm61Vkm/x4yIwqQwKJh1lw6H7o0dR8A4J5xoogmA4tKmlRIzdtkRJQQr3bS\nmlsgsGisokISBdQjiuh6WoeoRX63ClNEgxnRIdbc1S4holFFlBHmspKamnt7o4uSJucqaHm40xUu\ntuMyazO3dg4iDCrKrmTZCl7F7LnFnD2W7bFrqiqSz5Yua+g7RuZGIsdwLNdDx0Vjm9ZcL7iGj6k1\neL4HVeNElIODg+MVBzp/psoiPvXUtdiO5l5Cs2uBmiefPrMHiehm2HWYZc1lsfSyG1RXkEU4fT7t\nHqULJF3SIIsyqboIbso7OSdaJDUXICQzTQ0F4tZcADiyr4aKLuOFS5vwfR9908EHPvwcVjZ7eMeb\nDuGxBxcKHZvv+1jvb2CmNJ1pm00D7RH1kB5WROP/NVViqmVZyVZpKZG73SWfuWGpuQBQkUvo2X14\nfrZ6fXbzAlRRYUromFrDtD6JK61rMfu1rsmFw4oquhxajgN1kh7vJFNEs4moKAiYrGkxa256Yi59\nbULgWc2NnU9El3shEaUEv2URBatWUtAznZi10nE9rNb72D9dHukzEMWdTs5da5Dka4AromlgRDSY\nEfV8D8vd7Y9bLB2ahACQQDtv+PhCTBENNvtKsg7DNVEK/oY4ER0d0fVDY4vOJdsJO15VUUFZJtdn\nVfN4fQsHBwfHKw1UbXnXt98Lx/XwZ39/bkfnEHcKza6JsaqKY4vje9Kee3uzh4ouo1ZWc6y58RCG\njk3SWEuJfkRfJMoQTXLUJA1+8D07eSMuas21fTesRUlAluLWXEkU8ap7prDRMnDldgv/6WMv4Opy\nG29+aB/+0VvvLXxsXbsHwzVHmg8FItbcIURUV2R07biylwZK5Ja7RBGtFVREffgwnHRFoGE2sdxb\nxbGJo7Ek4nvGDqFr97DeD1WdkirDKDAbvNkyWHULkKOIDknOnRrT0exYjBCyxNyJQWsuCysqmJpL\nO0TnyrNQRBklucQ2YyaCYz8ZcTusNfpwPR8L01ubDwXuvDV3pR4uxDkRHUQrUd3y9PIz+Ddfez8u\nNC5v63WrJQWHF2o4f6OJ//U/fAm/+/FTeOK5W5nnPU5EyTVDl3R4vgct2HPh5290UCI6VlHRaG/R\nmhtcs104UCUVpWCjUNa8PT0+lAdORDk4ODgyQBW2N796H04cmcKLlzdx8uzaXT6qOHzfR7NrYbyi\n4pHjc3vOnuu4HtYbfbZgHjYj6kuBzRg+unZvgAhS0qkHHaKarDGb0k6GrvSKKqKunVrdAoTEz3FD\nWyW13/7KB5/E6at1vPa+GfzU25dGUrW2Mh8KhNZc1ye/m5VhzdVUKSSi8nBFdLk3iiJKPge9DHvu\nufpFAMDS1LHY19PmRHVNguvlzwb3TQeG5bLUW2BwRpQpouaw5FwNPkJbXao1N3NGNF8RXemtQREV\nTOrjAIgKTBXRt7/hEHRVwn/+5GkWnHZrfevVLRR3WhFdjVgTLcd7WSSS30nQuUFKRG92bwMAbnS2\nn4b+7nccx1se3gddlfD0mVX80afP4F/87lfx8S9dGngusebGFVGddTaTr/MZ0dGxUu+jostYnKmg\nazhbyjSwGBG1oUkqShL5G1ZUByZPzeXg4OB4ZcEwHQggC/Mf/+77IUsi/vyz5/bUbrBhubBsD+MV\nDY8szQLYW/ZcptxMUSIahF0kZkRNajkSwve2bXUgSyJUObxVuUKgiAY3YF3S4IF8bacVUUHA0DoV\nx3dziGhcEQWAE0cIeWy0TSwdnMA/+cEHIYmj3Yq30iEaPR4hUDvWG/GUWGbNVURGFPPDigjJor9f\nsRlRQmy7GYFFZzeD+dDJBBFNmROlFS79nPPOEnMjiiiz5gZkcSIgf0MV0Vq8woVac6dj1txe7LU1\nSYUqKrmKqOd7WO2tYa48w2aNx9QqunYPrufi0HwN/+xdD0EQBPynj72Ay7dbuE0Tc7dBRCeqGiRR\nuGMzopSIzgUK8l66ju4FNBNhRY0gPGvY57IIDs3X8O53PID3/dzj+I2feSN+/B/eD0HAQHAaQBXR\nYEZUCsOKAECiRJRbc0eC63lYa/QxP1Vm1utmd3RVlCmivg1N0iLnhSiie9GxNQyciHJwcHBkoB9U\nWYiCgPnJMr7vscNodCx84svbs0rtJFqRuaKpMX3b9tz1Zh9nRuicG4bofCiA7BlRm4YwhMdNVaSo\nPdcBebzErLkqHNgA/EIzos2uhWfPrw99Xt90UFJJdUYebM9O7RAF0onoZE3DQ/dOY+nwJH7hXQ9l\nFtfnYatEVBREyIIEFy4maxpursfJkcFmRGV0g4qVcgEiSlHNeS4FJbZpFS6+7+Ns/QIqShmL1X2x\nxw5UFyEKIq60rrGv0WodI4fQ1FmHaNyaq0s6U4gVUUZNrWIzJ6wIAKaDChdKbtebBjRFQq0UWrOT\n1lyAqKKdnNTcptmC5dmYL8+yr42pNTIrHdiIjx+exM/+wIOwHBcf+PBzeCEIvNpKhyiFKAqYGtPu\nmDWXJuYeWiBhTJyIxhHOiJLPWcNsAQA2jZ27HguCgH3TFbzt9QcwUdUGenEBQkSpIkqJKN34QzCj\nvxVF9NTlDdxYG96n+0rERtOA6/mYnyxjgp7fLVS40CwFx7eJNTdwrEiKAx+D4xYvB3AiysHBwZEB\nw3KgRxSx733TIUyP6fj8N2/C9fbGBb+ZmCvarj33w1+4iPd/6NmBVNutIiSiZGGeDB+ioNZcN0ZE\n27HvAQDbI4/TxFxN0uDDAwSvEBH908+cxX/46PMDJCyJvunEbLme76X2TNqek0lEabcoTc2leM8P\nP4zf/IVvYzblUUHnJGdGnBEFiD3X9mwcmK2i3jZj59m0A9uzKjGLaZ4iGu0NrchlSBmhTVGUA2tu\nWnLuWn8ddbOB+yfuHUghViUFB6r7cbN9ixF7nSmi2YviZGIuQDY4kjbiSW0CDbOZqyhMJipc1ptG\nrEMUALpMbQ3ft6pSQdvuZL72SiSoiKKWYul9/dIsfurtx9Hp2zh/owlZEmK24K1gekxHs2uxEJTd\nxEq9j/GKiolAEeLJuXE0uxYEAWxjo2HunCKahqkxDfW2ORBgZNkuJIV8TUsoojQsblRF1LJd/PZH\nnsev/9FJPHlqebuH/rLD8ia5d8xPlTAR3Ku3UuFC6ls8uHADIkrOixikyb8ck3M5EeXg4ODIgGG5\nMTKiyBLuOzgOx/VSd5LvBgaI6DbtuZstsnNLg1i2i2h1C0BUmJImDc6IBju5VPEEgHZAhigR1VUJ\npmtCEiRmh6WzS5DcoTOinb6N5y4QNfT6Sn6nXi9BRD937Qn84pffyxaHFI7njGTNpdhq0ilAZkQF\nCJjWJ0f+XkVUYLs2FmcJEbuxGhIdOmOkKRJ6AenOJaIRRbTIfCh5PbKDn9YlGta2HBt4DCCBRY7v\n4kabzMzR85NHaJg1N1AzPd9Dx+4OBCtN6hNwPCfXQkt7SDdbBjp9G33TidlyAaKIlmQ9RsprahWO\n58B0068ZK5GgIopol2gUb3l4P9711qMAiMtgVFt3ErQDdbevZ47rYaNlYG6ylOmK+FZHq2NhrKxC\nFAUy+x9cazZ3i4jWdHhBxkAUpu1BlumMKK1vIZ9zPyCio25UNroWXM+H43r4vU++hA9/4UKhBN9X\nCmhQ18JUmYWPbU0R9QApPDdsg0AOxlM4EeXg4OB45aBvujFFFAjnm6LBG3cTLOAisPtMjem4d3Fs\ny/ZcavXdqQCT25s9CEL4vgFAWVPQM5M9okGSq59izQ0WrmVdhuEa0GWNETkapiGIztCb8NdPr8AN\nFj831vJm9nwYpouyFp77q+0bsD0bV1s32Ndcz4Xne0z5TCKPiG4H6/0NTOoTmQQ4D4oow/JsHKBE\nNPI+ROtbqCJazukRJemuZCFUZD4UCK2+3RRr7lkaVDSZRURJYBG159IqiSLWXEoi+44Bz/cGbMWT\n2vA5UUo6N1smVoIZzdnxeJhT1+4NJA0PS85NV0QpER20Mn7vmw7jH7/jOH7su+7PPNaG2cR/Of0X\n+Pff/P9SbdDJ32m350TXmwZ8H5ifLEc2EDgRjYKGzgHks+L45O+xZbXh7PA1BAjDqjYT13rLdiHK\nwaYUCysiz/UEC9WSwjYYi4KmxD6yNIuFqTL+9mvX8Nt/8fxAVsArFTQxd36yzM7xVrpEbceLJBqH\n1lxqmX45BhZxIsrBwcGRAsclqY7U/kcxH8w6rtb3RqdoUhEFgEePz2/Zntvuk4XBThHR5Y0eZidK\nUCKBQ2VdzkzNtf3w5sysuYGFtaTJMBwznFdCuFAiimg+Ef3qqWXWt5o3q2SYLnzEE3NpcAit2QDA\nFopZPaKhNXfnFpGWa6NptUaeD6VQxNCaCyBmUaaKsq5IjCjmKaJAmJxbK6qI5qTmXmtdR02pYrY0\nk/q9YWARIaK6Nro1N0zMTVhzgwqXvDnRsiZDUyRstgz29x9VRH3fR9fuxizLQKgWZyXnrqYqooE1\n1xxU7gVBwLc9vB/HDw8q4n2nj7+6+Lf4tSffh6/e/jrONy7hc9efyPyd7lRyLn2/5iZLnIimwLDI\nRlo4Hxo6L3z4A06MnQB1CWwmqkSiRJSFFQXXWcM1cWC2grVGf6RwOHqfuu/gBH7pJ1+PE0en8MKl\nDbz3T76x5+rGdgMrNKhrssRmRJtbUERtJzK/K4aKKCRy3345VrhwIsrBwcGRAkpqBhTRSbIDubJX\nFNEUIkrtuU++tDLSYsGyXfb85C75VtDp2+j0bRZURFHRSf9jdM7WdDwIAmL2RRrUQq18ZS1URCno\nfwuSk0tEb290celWCw8encJ4RcXNHCJKF8jRkCS6EKRVJUBIMLN6RENFdOd2/TeMYD5UH30+FAhm\nRF0b+6bLEAUhRsjNSH0Ltc6Wc+pbgNCemyRfWQgV0TgR7Tt9bBh1HKjtz7Qtz5VmUJZLuNIMFNEC\n1tx620RFl1n6MSOiSWuuNrxLVBBIuM9m28RKMPM1OxESUdM14fjuQGgT/Vl5iui4WgsXlYhYc+18\nCzmF7/t44sZX8WtPvg+fufp5lOUSfnTphzCm1vD561/KJMGUjGy117AoogvxMieiA6BOlLFyfD6U\nXlt2w55LN2eSYVXRsKKkNddwDCzOVOEDuLWRP2cfBVX/JqoayrqC9/yjh/Htr13E8mYPXz+9st1f\nZc9jZbOH8aqKkiaz1NzGFlJzrQFFNLBMCzufHH+nwIkoBwcHRwqo3W9AEZ2kiujeIKKtROQ/QOy5\n9x8Yx4UbTfzCbz+B9/3Xb+JvnryCq8tteDlhLO1eSJg2dmBmLJmYS5FGICzbhapIMNxwUdQOgl/o\n80ualKKIBr+35OTOiD75IgnIePzEAg7MVrDRMjMXwvTrdMHs+R6aFkmwjCqilGCOkpq7XaxvsUM0\nPCYFtudAlkTMT5Vwc63LQnTMyOZL1+lBl/ShAUTU4pq0umaBzYgmFNGbHXJ+9lcXMr9XEAQcHjuI\ndWMTbasTWnPzFNGWMZCYC8TnW4FQEa0PSc6dGtPR6du4tkw+DzMRay6tbhmw5rLgocGFu+Va2DTq\nMTUUAMa0WvA9xVJGz9Uv4kPnPg7Hc/DOo2/Hrz32L/Fti2/CO+55GyzXwmeufj71+yr6nZnXpNdL\nbs1NB7321soBSQmIKLWj70Zg0RRTRMNrrut5cFx/gIiWGBE1sTg3OF8+DCERJa8nigIee3A+9tgr\nFbbjYaNpsLWDrsrQVQmN9tZmRIUUIkprzfiMKAcHB8crBFRdK2nxhXhFl1HWZKw29gYRbXYsqIo4\noNz+7A+ewPc9dhiLs1WcudbAR794Cf/6j57Gn3/2fOZrtfvhjXEnKh2SQUUUlZQuUcv2oMki+g75\nuSW5NGDN1XViUytFFFFmzRXdzN1gz/fx5KkV6KqE1943i0VqS82YE6VBHHTB3LY68Hyi3q5Erble\nYM0VhqXm7tyCe41Wt5S3RkRVUYEPH47vYnG2ir7psDlKgyqiihTMOg6vBqFKaNEZUV3SIQriwIzo\njQ4JIDpQ3Z/7/feMEXvutfaN0JqboYj2TaKST0YSc2mNSi1BFqf04YooEM6avnSZnIeoNZfO1SbV\nYfqzOimkcrVHwrPmE0SUqqitFGtuGm4G79+PHX8X3n7PdzJL5eP734BpfRJfuvFkag0ICw7a5V5I\nGtYyO1EqpGR/q4GORNSYIko2Oo6MHwawO4ootWXXI5uOtEZLEB0IEJgiS1PK+47BbP15c/ZJUBsq\ntR5H/7u1BYvqywmrjT58AAtT4abVeFXbWo+o7bJ5UFVSoUkaBAgsbZ4TUQ4ODo5XCOjcWVIRFQQB\nc5MlrNb7uerinUKza2K8og7YGSdrGt711nvxq+9+FP/+n70ZP/sDD0ISBVy+3cp8ragiuhPWXKqI\n7ksoopRYRitcLIcoon3HgCiImNEnmRpEF8uaRt5vPWJhpAukPGvu+esNbLQMPLI0B02RwsTYDHvu\ntRXydarkRuezunaPWSxpLYssZSii0s5bc7dT3RI7JtfGgZn4+xAPK+ox9TIPVAktmporCALKcmnA\nmnuzfRsABvpDk6BKcNNsMUU0a0aUzYeODVdEx9QaREFE3cifxZsKFu8317ooaRJTFIHQejtARKki\nag9+3lhQUWUu9nVJlFCRy2ilfE8a1gPL9mw5Pl8rizK+78h3w/FdfPry5wa+r0w3he6AIlorKyjr\nMtvc46m5ITrBtbdKq1uCz+FRRkR3rkuUolZWIEtibD6YEhlfdKFKCruv6IFF33ANLAbXjZvrxRVR\nGqo3EXHusNCeV/iM6GokqIhisqqi3bPhuKOFC0WtuapE7vslWYcLTkQ5ODg4XlHIUkQBMufkuN6u\nz1UNg+f7aHVtjFe03OeNlVW88VXzGK+quQEJrciCgHQLbi+BL8uam1bfYNkeseY6BnRJQ02twfJs\nmK7FFBRZI8dDyScAaGxG1GWKXhJfORXacgGEQT0ZO/rnb5JF4H0HSJJqOK9FjoPac202I3rnrbkz\n+tatueSYbKYMU2WDfuYF0YPt2QMW0zQ8OL2EfZV53Dt+T+FjKCulgfqWm53bkAUJC+W5jO8Kvxcg\nGwL0c5GVmlun1S0Ra26HhRXFiagoiBhXxwpYc8PXmh4rxTaAqNpaUeOf97zU3NWUxFyKmlZLDStK\nw1qOZfvRhddioTyHp5ZPxhR9ILy+7WZ6qeMSayKdr+czooOgbpRqYkb0yBghonmfy6dun8S19o3M\nx7MgCAKmalosrIgRUcFhqjoA5kLpOwZKmozpMX0kRbTRsVDWZKhKeD/VFAklTdpSn+bLCcuBG2A+\nch9kavCIJNx2vIhtmrxGSdZZyJ/FU3M5ODg4XhnoZ8yIAsBcsLN5twOLOn0bnu/HgoryMF5R0exa\nbCYwCaqIUpUnOju0FSxv9lDSpNj8KhAqolE7oGW7UGURPaePkqyHKpLVxr5pspCfHCe3rKgiSm/G\niurBSLH6mbaLk2dWMT2m4f5DxH65f6YCAemKqO/7uHCjgbGKitmgcoba5I4GZGulSxbz1HJ7J625\n6/0NVOQyI2SjIkpEDwSzXjS4ybJdyJIAyyfnfVhQEUDek1964//BZiyLoCKX0XV67HPo+R5udZex\nUJkfOpNaZqm7ffa3mWXxTCbmAtHU3EEr8ZQ+gabZgutlqwpUEQWAmUSHaJY1N5wRzVFEU4jomFJF\n1+kV+vys9zdQUcphnUMEoiDinUe/B57v4W8u/V3sMUkktv7dtObSbuK5CXLu+IzoIDopM6IVuYyq\nWkFFKWdaczf6dfzp6Q/j/Sf/Xzx56+mRf+7UmIZWZNOREhlfcMKxB5DrhiiIMBzyN3VgtoJW10Kr\nV4xINTomC+mJYryi3dXUXNtxd8T9kwcabDY/GbHmsgqX0YmorJDrpiaRa3lJLkWIKFdEOTg4OF4R\nyErNBcIbyt2ucKGzNWMpN/g0jFc0OK6XuQCku/KHF0hQyuY25kRtx8NqvYeFqfKAbTgkomTx5fk+\nLCdUREtyKUJEOzi8UMO/+6eP4+hBssCPhhVRdVRSPJj24O/1zPk1GJaLx04sQKTdo4qE2ckSbqx1\nBkj5RstAo2Ph2OI4O26qTtB+y5WCiqgsSMHzdkZt8nwPG/3NLVe3ACQ1FyA1MLPjJaiQUL7WAAAg\nAElEQVSyGCqitsvmQ4HB0J2dQlkpw/M9lpC82lsnCu0QWy45piDsyO6xv82ssCK6wJxMWHMFCKxG\nJopJfQI+fBZMlYapiLo6MxEnollhRZqkQhGVVEV0pbcGWZQxpQ9WsRQNLCKfi3ru5+Lh2RM4VFvE\nN1afw432rdhjZV3eVZtsGFREzp0ii5BEgRPRCFhYUSlURCd04siY0iawadRTNxDpbLDju/izMx/B\nR8//de5GShJ0Y6UebDpSRdQVnDAIDkQ9LUk6+kGY3IG5wFVSILDIdjx0DYfVlkQxXtmaRXWn8JEv\nXMQvfvCpXSWjK5s9CAgT9wFEKlxGU4Mtx4Ukh9ZcgCqiNgCfW3M5ODg4XikIiWiaIkqJ6N1VRNOq\nW/JAlcmsHeh2lyyG7lkYA7C95NzLt1twXB9H948PPMbm0gIVhu7GKwrpqYsqoq1gET41psMKiEta\nfYskp/eIPnmKVAM89mA8jfXAbBVdwxl4Ly4Ettxji+Fx07nB+wMimrTmyhlEVBAEKKK8Y9bcptmC\n47tbng8FSFgRQFRaURSwf6aC2xtdOK4H03KJOsYI1dZU12GgqiYNLLrJgoqGE9ES/V6nD1EUoKlS\npiJaZ4pohIhaXZSVUqryGla4ZM+JxhXR+PsTzogOktyaWmXWXQrP97DaW8NsaRqiMLgcq+UoqVE0\nzCZc382t9BEEAT9w9B0AgE9f+WzssbI22Ou7k4hWt9BjKWm7S35fbuhEwor6jgHDNTGukevwlD4J\n27MH5qoB4FaXjB2869j3Y6E8h89f/xJ+57k/GLC+Z4El5wbXekJkfHiIE1GAOFGMIEyOzoneWB9u\nz20mEnOjoCrpqBbVncKLVzZhOx7OXNv+DO7v/OUL+M9/89LA11fqPUyN6VDk8JpD34tRE4Ntx2Md\nr1SxZg4hyeFElIODg+OVAlbfkjojujvW3KvLbfyXvzuHdkG7E03dG8WaC2QXadOfew9VRLexS3zu\nOrGSLR0ctGwmZ0SpnUhRwjAi1r0YWYT3GREdrG8R5cHU3GbHxKnLGziyb4zZeykWZ9IDiy7ciM+H\nAkAzUEQP1PajJOtMEXWGKKIAsefulDWXJeZuRxENiKgVqLSLsxU4ro/Veh+G5UJTZbbgLRdIzd0K\nkhUuNzo0qCg/MZccU6iIAkBJlTLDiigRjc2I2p2BDlEKVuGSEwyjKRILlMmy5qYpyVWlgrYdV+Av\nNq7AcE02B5gE6xK18udEi1b6HJ+6D7OlaZyrX4wdR1lX0DedXQtfW2VENPw8lTSJK6IRtPsWxICg\n0+vNpEauQfRzuWkOfi5vBbVHD8+ewD9/5H/BienjOFM/j/ed/I+Fqn/oxgodw7BsFxB8+PCgikki\nqjEiGs7ZD/8ZNIxoPEURZcrgXSCiPcNhye5nr20vldjzfHzz3Dq+8sIyzlwNz5NhOWh0rFhiLhD+\n3qNacy3HY4oovffREQpBsmHyGVEODg6OVwZYWFGKIjpWVqCr0o5ac596aRn/9s++gc998wb+/uT1\nQt8TKqL5YUUUw4q0230bkiiwVNn1bRDRswERvT+FiFYSqbl0LklSyL9jM6KR1FC6CCpFw4qC/xZl\nF5bjwfXCG/GzF9bh+8CbXjU/cAzUWnZjNb6jf+FGE7Ik4tB8jX2tYTZRU6pQRBlz5Vms9Tfgem6Y\nmhuQuzQQRXR0a27fMfDM6guw3PB713eQiNJjCqsYOjBtF5oiohsQxDT76k6AElxKeG9SIlobrogq\nogxVUtFzCLkpaXJmWNFm20RZk5mrwfVcdO1eZucpXfjXzSHJuQGxTRLRjt2FACF1traqVuB4DrMj\nA8Aza88DAF4391Dqz6kxIpq/2C+6QSEIAg7VDqDn9GMprGVNhg+kzljvBOh1MmpNLGkyr2+JoN2z\nUS2TlFr6+RtPENG0aqFb3WVokoopfRIlWcfPPvRuvGXxcaz1N/D0yjNDfy6dn44poiL5e9Lk+H1F\nl3QYrgnP97AwXYYkCoUCi9IScymGbY7uJi4vt0C3XujG6VbR7llsI+djT1xiGz1sEyYR2EfvxaNW\nuNiOC0Ei9zhqzWUbs7KTWWG2l8GJKAcHB0cKwvqWQUU0WuGSFfxTFJ7v46NfvIgP/tVLkEQBmiLh\nyVPLhdSJsJttNEU0q7et1bVQKyusXy5PEc1TM1zPw4UbTeybLg8EFQFRay4hQ5ZDbp6iEpD/FGsu\nABaUkVbfgiBJ0LRCInrqEqm0eOjY4AL9wGw8qIf+TtfXOjiyrwZFJrdH3/dj81oL5Tm4vosNYzPs\nEc1RRBVRhu2Orvx8+NzH8fun/hS//tRv4mu3vwHP9yLJqFu35kbrW4CQiF5f7cB2PGiKhF5gmS3S\nI7oVVCKBQwAhohPa+EDITxbKcpi6q6sy+hmLr3rbiKXc0hnOZHULBVvwD0nOXZytQFMlFmYVff2y\nnG77ZQp/oJp6vodnVl9ARSnj/sl7U39OcUWUVvoM36A4UCOq8/VOOCeanNneaaw2+qjoMlOSAUJ+\nTduF5939Cqy9gE7PHugQpRsjdH44GVjkeA5WemvYX1lg8+yiIOK7Dr0VAHChcXnozw2tuVQRDVNZ\nk4poKbjumq4FWRKxMFXGzfXu0HsVVf0maikzokM2R3cTl4IxDE2RsFLvj2yTjSKqbF642cTzF8m1\nmiXHT8avpVtWRG0PohRXROl5ESS7UFiR43p3bSY3DZyIcnBwcKQgL6wIIDYzy/FGvpFE0Tcd/Me/\neB5/8+RVzE2W8Es/+QgePT6HjZaJcwWsQqPOiFLlNHNGtG9jrKxCVSTUykrmjOi56w38/AeewMkz\nq6mPX10m6lqaLReILHzNuCIqBEXdJSkkolFrrhEEZUTTHGVRJvN1wS4+Da5xXA8vXd3E3EQp1t9G\nMTdZgiyJsRmnS7db8H3gWMSW23f6sDwbE8G81lyQbrrSW2Oq4k5bczeNOk6uPMvsnH9y+kP4f57+\nbZzePAdge4qomlBEqfp9MViU6RFr7m4R0WgFS9fuoWE2sb+6MOS7QlSUMpsvLWkSbGdwYdU3HfRN\nF5ORxNxOoK4Ps+au9TZyf/7/9F334wPveStLf6XoWt2B6hYK2rPaDuZELzauoGW18fDMicyk4LFI\ncnQeQqV8+AbFweoiAOB6+yb7Wlqd0k7B83ysNfoxWy4QSc7NsFV/K8FxPfRMJwwqCmaUJxgRDay5\nCcv4Sm8Nnu8N/O1MlyYxpU/iQuMSPD+fcLBNx3ZUEaVEJ+70oPP4bE50tgLTcrExJNSOEry0+xSr\nMbkLiuilW4Twv+VhsjmzHVWUjgE89uACBBBV1PN9rNAO0YQ1V1claIo0Evn1PB+u54cbBQkiWnRG\n9AMffg7v+/PhavmdAieiHBwcHCmgdr/kYpNiu8m5K/Ue3vsnJ/HcxQ08eM8kfvmnHsH+mQrruvzq\ni8tDX4Nanmjk/zCMVbPDimyHzFjSXfnpMR2bLSNV8X3xMlFgnnj+1sBjQHhDp3UpSahBaiYNSKGK\nqCATcqTLOlPH2laKNTdiGRMEAZqkwRfIa9Eb8cWbTfRNF68+mk7aJFHE/ukybq13mSpz8UZKUJFJ\nF4Xkd5mPEdHhM6JbseZ+4fqX4fke/odj34dffdO/wBsXXo9bnWVcb9+ELMosxGQrCGdEybGPV1RU\nSwou3yZkR1OlOzAjGiiidi8SVDR8PpSiLJdguAZcz2XW+WRQFatuiSbmBp8lSgqTqCoVLJTncL5x\nkX3WUp9XUnAwYt0GiMLZdXqZqm6oiJJjGGbLBUJFdNis33p/o/DngiqiN6JENKVOaaew2TbguH6s\nugKIENFt/Mxnzq/hN/7kJL566vauzbfeCXSDoKIqrW6x4kR0UiOKaNKaS+dD91cGLe3HJo6ga/ew\n3E3fLKQoaTJKmhRRRF3mLolu+AFg1UD9xJxoWg1WFM08RZTWmNzhGVHf93HpdgvTYxre8ADpLt7O\nnCgllCeOTOFND87j+moHJ8+sshyJ+YQ1VxCEob3eSdBQP59uFIhJRXQ4EXVcD+euN3DxRnPPVL1w\nIsrBwcGRAmr307IU0YmtJ+e+eGUT7/3jk7i90cN3P3oQ7/kfH0YlsKvef2gC02MaTp5ZHXpTaXYt\nVHSZ2UiHYbycTUTbiR676TEdtuOxr0dxbYWQltNX6iztMYqzQQLh0sHBSgqA3IQrepjUyUq4A0W0\nLJcgizLKcgmt6IxoSlgRQOy5nkCOgxKSUwFZPnE0WyVanK2SmpkGOYfnUxJzqU2OKqKUiK721sIe\n0aFEtPhiu2f38ZVbX8O4OoZH51+DKX0SP/mqH8EvvuE9eM3sCbx18fHUhNWioKSZWnMFQcCB2Qr7\nrGmKtPszoiz5thcJKho+H0pBiWzfMViYWNIqXqfVLbVBIpqliALAa+cegu05OLV+uvDxAGSTxPO9\nzMqbsEu0C8/38OzqC6jI2bZcgBBjAcJQa+5afxMz+lShz0VNrWJCG8f1SIXLbiqiycRcitI2f2an\nb+MPP3UGF2+18PufPI1f/8On2QbZyw3tfqK6JaGI1tQKZEHCZsIyThNz09wE900cBQBcaFwa+vOn\najpzv5i2CyFwl6jJ1NyAmFJnyiIbb8ifE22wGdGcsKJt2GKz8LWXVmLBQVGsNw20ezaO7B/H4YUa\nVEVkuQZbQSOSDPyDbz4CSRTwl09cwq31LiRRGJgnB8jMbKtrxXIN8kA3bCE6ECCw+w7dIJA1d+ia\nYa3Rh+v58BHahu82OBHl4ODgSIFhOdBUiXVPJsEqXBrFiajv+/j7p6/jtz70LEzbxT/+3uP40bfd\nB0kML8WiIOCxEwswLBfPnF/Lfb1W10rtZsuCpkrQVSl1F5YWk1MiStMUN1LmRK8GRNT1fDxzLn6M\nnufj3I0m5iZKMRKQRElXwhnR4ObpC6EiCpCwlk6KIqonduo1SYUnUGsuea0XLm1AlgQcP5ROhoH4\nnKjn+bh4s4mFqXJMYW4Eiz+6KJwtTUOAgJWCRFQWZbi+O9QiR/Hlm0/BdC18x8E3x153sboPP/Pq\nn8QP3ff9hV4nC7RHNKrSLs6ExCxa31LepfqWsAu0j5ttQkSLVLdQ0DCgrtNjimiSiG6mJuaSBXNW\nWBEQKpTfXHuh8PFEXztbEa0Ez+vgYuMKmlYbD89m23IBQBIlVJRyblhR1+6h7/RHsmsfrC2iabUY\nwU3WKe0kVocQ0a0m537sixfR6dt4+xsO4bEH53FttYP3f+hZvP+/PYNbBSpFiuDmWueOhL/QzT46\nQ9s0m1BFhSldoiBiQp8YsObeCjZx9lcGieixiSMAgPNFiOiYHljZHbIpKMZnECno8fSDWf2iimij\nYxErasqmbkWXIYnCjqfmer6P3//kS/i9T76UqpZTW+7RfWOQJRHHFsdxa73L7oOjghHRmoa5yTK+\n7eH9WKn3cWW5jZmJUuweTzFR0+ADaHWLOWaYIiq40CSNzQXT8yIr7tDU3NsbIfnkRJSDg4NjD8Mw\n3cz5UGD0Chfb8fCHnzqDP//cedTKKv7lj70O3/ZQuh2Rdl5+9VS2Pdd2XHQNJzUMKA/jFRWtlGCI\nUBGl1tx4iAVFq2uh0bFY/cnTZ+PWrxtrHfRNJzUtN4qKTnoEfd+HGez0+iI5hhIjohV07R4raO87\nJgQIAzv1mqzBBVlAGJaDZsfEtZUO7j84kaloA0QRJcfcxc31LgzLjamhwKA6oUgKpvTJmDU3XxEN\nezuHwfYcfOHGl6FLGt68+Mahz98Kkqm5ALA4F5InTSHW3JJc2pbymodywpqriDJmSzNb+P4+dC3d\nmss6RCO9n0wRzSGi+6sLWCjP4aWNM7n23CRYEFKmIhpazYvYcinG1FquIlq0uiWKg4ENmqqiuxlW\nFCbmxtX1MiOioxO9i7ea+OKzt7A4U8EPvfUofuadD+JX3/0oXnXPJF68UsfvfPzUto97s2XgV//g\naXziK8MDf7aLaIcoQMYBJvRxRjQAEljUtjrMyQAAt7orGFNrqVbz2dIMxtUaLjQuDw3UY4FFbZMo\nolI6EaUbhEYQMjY9rkNTpUKKaNaGaWhR3VlFtGc4cD0f9baJSzdbA49fvEWu60f3E6cLzTM4v0VV\nlAUyBb/nOx+/hzmVkrZ0CprZUHRO1GJE1I7N77INC8UZare9vRGeq53asNkuOBHl4ODgSIFhOaz2\nIQ0TVRWqLBaeEf2vnz2HL79wG4cXaviVn3pkgPBEsW+6giP7xvDi5c3MmxRdaBdNzKUYr6ho9+wB\nO1CbKaIBEQ2sRMkgCmrLfd39szg8Xxuw51J701LGfChFWZPhuD4sx2PWXG+AiNbgw2eLfMM1oEna\nAEHSJQ0ePEDwYFpuaMs9kr84p4rojbUOLtwgxx0NKgKi1tzw6/PlWbStDiM2w2ZEARSy5z69/E20\nrDbevPgmZrfaaTAiGlnQUmUDIIpo1+7tWlARECqaLauD290V7Kss5CqDSYSpuz2UMqy5dANlKtWa\nm5/OuxV7btghmv6+UTtw2+oUsuWy71Or6Dv9zM8PJaLTIyQpH6jFA4t205qbpYhmWaqHwfU8/Oln\nzsIH8BPfswRZIteCwws1/PMffS2O7h/D8kZv2zOjGy0Dnu+z691uohNce6tlBbbnoGN32Uw6xZRG\nE50Jgeo7BjaNeqoaChCCd2ziKFpWG6v99dyfT/9GNltGIqwoWd9Cw4rIvUcUBCzOVLC82ctMYXVc\nD52+jYmc+9R4RUOza207gT6KbuSe9PUzKwOPX77VgiQKOBx0ZtON063acxttE5oqMaV/sqbhba87\nAACpYXkA2HtSdE6UkkxPcGObsfReISnuUCJ6az1cr0TV0bsJTkQ5ODg4UmBYLko5atqoFS4Xb7ag\nKRJ+8cdfF1NpsvD4iQX4PvDUi4M3UYDc+IDiibkU41ViB0rOflJ70NiANTdOhKkt9/BCDY8cnx2w\n59K032GKaDQghd48XSSIaCLgxXBMltwYBVswiQ4My8ULl8ji/NU586EAWSyUNBk317q4EMyH3jdA\nRKkiGgbB0DlR2n+p5PSIyoyI5qtNnu/hs9eegCRI+I6Db8597nagSjSsKGrNDYmZqkjoOb1dmw8F\niNWwJJdwvXMTju+OZMsFgFIkdZdZcxPpq/UUay7tpM1TRIGt2XM7Vr41l86IvrR5NrDlPliIfIeB\nRemEaC2obhlFET0UEFEaWLSbYUWr9T5KmsTmHym2Sn6/8M2buLbSwT84sZB6jZmsavB8H52U2fZR\n0O2T41obYfRiq4jO5zcTM+kUk4nk3Ns586EUxwrOiU5F6ros22Oz+knnCbPmuuHm5IHZClzPx3IG\nqWnRZPecEZKJqgrH9Vmv9E6gE1H3v3F2LbYx4bgerq50cGC2Ck0hf4NH9xOLbpG0+jSkqb7f//hh\nfMdrF/HW16Q7n1iFS8HqGmrN9QQ7tkkwSljR7Y0uZInUxEXV0bsJTkQ5ODg4EnA9D5bj5VpzAWI3\nMyw3NdAniU7fwlhFgaoUU37e8MAcJFHAkxnpuTSMZTwlACIPWQXi7X58RjSrS/TqClnMH5qv4tHj\nJG2Q2nN938fZ6w1MjWmp4QxRRLtEqeXICey1esSaC4RKluEaA0FFQEhEBclF33Tw4uVNTNY07J/J\nV75oUM9KvYcz1xqo6PJAumHDbKIk67GfSytcaFiInEMoilpzT62fxkpvFY/Mvyamvu40QmtueDwl\nTWbnW1Y82J6za/OhFBW5xN6TxRESc4Fo6m6fKRCGOZiaW9bkmKuhY3UYCc5D3J5bbJHIZkQzEnk1\nSYUiKiyR+HVzDxd63ZoaKqlpCKtbihPRCW0cFaXMukR3SxFtdkzcWu/i4Gw1ZjMFtjYj2uiY+Msv\nXUJFl/HD33ks9Tk0GXw7nZAA0A2IzEbT3PXOxWhYUbjxFb8G0AoXmpwbJubmEdFgTrSebi9+bu0U\nVnprESIaWHPFeD0IRWjNDe8Ji0PmROuREJ8shPeknbPnUkVUFIQBe+711Q4c12O2XABQZAlH94/h\n+mpnZIu643po9WxMJn7Hsq7gJ75nKfM+xDpU26MQUR8unLgiKtH6FhuO62eGH/m+j9ubPcxPlbEw\nXcbyZn9P9PhyIsrBwcGRAJ03y6puoQgrXPJ3zX3fR7tnF65ZAQghfOjeaVxf7aTaw+pbVkTTk3OT\nM6K1sgJFFgfCiq6ttFHRCXGZmyzH7Lm3Nnro9G0sHZwYWHhSNMwmPN+LLX6pIuqA/E6UKNQCNahl\nteH7PgzHREkaJN5MJZUcnL5WR9dw8Oqj05nHEMWB2Sp8n7yfxxbHB8KpGmYT44lFIVVEwx7RHEVU\nKmbN/ey1LwIAK6PfLaRZc4HQpgyJfH03rblAvBpmlMRcILT2xqy5A4qoEatuAYC23UVNqRT6XDB7\n7kYxe27YvZq9+UFJZVFbLhAqollzouv9DQgQMK1nh3IlIQgCDlYXsd7fQN/p75oievLsGnwAr1+a\nG3hsK0T0Q5+/gL7p4l1vvZc5N5KYCK6HrW2G31Ai4/n+wGbcToOORVRziSg5vzQ5Ny8xl2JfZR5V\npZKqiJ6vX8QHX/gTfOLCpyIzokbujGiJEdGQOB0ISNbNjHlDuuGZt2E6zpTBnQssouMir7mPzJ5H\n7bksqGh/XHVeOjgBH8C5oMarKOhnbZTgQCD8vYsGNVkOGT8B/Ni5USSFOG8CJdu00olovW3CtFzs\nm65g/3QZjuthrbn7iv8wFCKiS0tLDy0tLV1cWlr6+eDff7S0tPT80tLSF4L/vSP4+o8vLS19fWlp\n6amlpaWf3s0D5+Dg4Ngt0MXRcEWULIhXhsyJGpYL1/NZKmJRPH6CLNDTVFFKRMdGnBGl4UbNhB2o\n3Y0rooIgYGpMjxHRnuFgtd7HofkaW8wze+75tbA/NMOWe3rzHP6vr/wGnll9HpVg8ds1HDYjavsW\nREGEGpAlunDvWB04ngPXdzMU0eA9EF2cvkKsa8NsuRS0ggAYnA+1XAs9p4/JJBGtzMb+nRdWRI+N\nJlym4fm1F3GxeQUPTh/PXVjuBBQp3Sp8cJ6816JCPvu7TUQr2yCiUUVUVwdDb9YaffRNd8AC37E6\nzCI7DMyeu/p8oeeHqbnZ7xu17Ra15QJFiOgmxrUxloZcFAeZPfcWdE2GgJ1XRE+eIU6J1y/NDjzG\niGjBVNobqx187aUVHNk3hrdkWB2BCKkZoZ8xDZ0IKV9r7C4RjYYVZRHRyRRFVICAfZX5zNclc6JH\nUDcb2OiH1Ta+7+OvLn0GALBubEZmRE1YtgtJJtfjgbAiiabmRhTRuUARXU1XRJssTTZHEQ3uYa1t\nnrMoOoG1+tHjcyhrcsyemwwqoqC5BudGnBMNVd/RiOjkiDOithPteE1sEkg6y1jIsufSmdD902Xs\nm67EvnY3MZSILi0tlQG8H8BnAFAN1wfwr86ePfsdwf8+vbS0VAHwywDeBuDbAfxvS0tLxbfoODg4\nOPYIqCKaF1YEFE/ObSdSEYvioXunUdFlPPXiyoCFpt6m1txRw4rIzTKpGLT7NiRRYAoTQJJz2z2b\nKZbXV4P50Pkaew6z555ZDftDMypTnrp9EgBws7OMkh4W2tPUXMszUZJ1RnLpjGjL6oQdommKKLPm\nkqREURDwwOFiRDQa1DOQmBssCscT81rj6lhsIZBHRN+08AhkUcaHzn2cvV4UdaOBPzv9EciijB+8\n9x2Fjnk7UFOsuQDwPW84hJ/47vsxO0PO/27OiAIhmZzSJ0e2AcfqW5g1N/x9/vorVwAAb3wgXKRb\nrg3DNXM7RKMY1Z47rL4FCG27RW25QISImoMLfdtz0DCbI82HUhyo0eTcmxAFASVNHsmS2Oxa+OXf\n/xqePZ8ehNPsmDh3vYFjB8ZTZ+LLIyqiL1wmFuTveuRAZqUWELF5Fpy7y0I38l6MUtG1FXR6NjRV\ngiJLkZTuxIyoFs6I+r6PW91lzJSmBuyzSdA50WiNy4sbZ3CpeQUASQX//9l78yg50rtK9MYekZFr\n7atU2rqkbqlb6k3tdhvT2G5sjI0HPOCBwWaZAYYzLGce2+O9NzADw3njwwEGGGDOPLCBATOAx2OM\nV9xe23bve0tdklqqKtW+5R6Rsb8/vvgiIjMjt6qS1FLn/afVVVm5RWbEd797f/cKPId0QvDDilyw\nLYhooIhGZkTTCRFpVcRSi+TcPE2TbaOI0t91OyvZDaiinVFFnLltqM6ee3mlhITUPIZxZCIDjmUw\n1+OcaKFMFdHersWKRDrA8z2k5rayTSuCDJchz6NVYNGKPxM6PqhGiOiNnxPtRhE1AHw3gHUA0W9/\n45ngLICn5ubmynNzczUA3wDw5n15ln300Ucf1xF03kyW2qsWoTW3/a5ikEir9HahEngW98wOo1g1\ng11cil2HFbWaEdVMpBJCfWUAnR3yH2uRzoeOhYv5kVwCB0aTOD+fx7n5PNKqGBtXbzoWXto6B4Co\nO6o/I1qthUTXcI1w3gWR+TirEuzCxyqiEWsuABydTAd2w06giijHMjg0Xr/4o8SxURFlGCaw5wLt\nU3MnkmP4vqPvQdXS8NFXPlbXJ+p6Lj567mOo2href+w9PSuDu0FcfQsAqLKAh++egu5XMySutTXX\nJ7qTu1CAo/UtNFCMWnNXt6v4xsurmBxWcfb2kIhWugwqiqIXe27VqoJl2NjPJ8Wbx+/HA2P3dm3L\nBaLfgWZFdFvfgQevp/lQCqqIBnOifp1St7iyUsLyVhV/++VLsQm1z1wgttz7Ymy5AFqmHbcCdTqc\nONhe36CqVLcqUytEU1c3u6zo2i3KuhWEOYWKaL2rROQEpIQk8rUCSmYZVUvDRBfnizCwiMyJup6L\nT13+vG/nHkDV1mA6JnJpmdS3mDZYPp7s0POs3lBrNDmkYrtUiz2WVBHNJEV8+epjOL99oek2mR6V\nwW5Aw4qSioD7jpPzwJOvrqOiW9jI6zg0kW7a0JBEDjPjKSyslVEze5tdBkgvaCYHSswAACAASURB\nVCcsV1bxqcufh+u5YBgG2R6qayw77HhtIqKcEoT9dVJExwcTmBgi59DVrZtAEZ2bm3Pm5ubi3qV/\nOzs7++js7OzHZmdnBwGMAYg2m28AuPZX1T766KOPfQa9CHVSRLMpCTzHdpwRpQmOyR4VUQA4fYwQ\nnkblIV+qgWMZqD3afVvNiJY0q2nuigbY0AqXIDE3oogCRBV1XK/tfOj5nTkYDnnMollqmBEl5Mxw\nasGuO1BvzaW78PGpub6d2L9Inzzc/cJclQUcnczgrqNDTUFScdUtFCMRIsox7Tcs3jL5AO4aPomL\nhcv43Pyjwc8/O/8oLhWu4PTwKTw08UDXz3kv4FkeDBiYTrz61amGZL+g+ipor0FFAFHAWYaFZmth\nj6i/efSJr12G5wHf+5bDYNnwc0jDflqFCcWhF3tuxapC5RNtu1dPj5zCD9/+/T1V1aQlas1tVkR3\nE1REMawMQuJELNEuUYnvaUaUbq6t7Wh44VKzKvrU+da2XID01bIM0xX5tR0XF5YKmBhSO9ofgwCY\nvc6IRt6La6mIhvkBIRFlGTYIaosiJ2exYxSCtO6JNrZcisnkGBReDhTR5zZewlJlBfeOnsax3OHg\nMQdSEizbRbFqguWoIlr/XgssD57lmxwC1FUSNydKrzOS7OLvL/4D/ubCJ5pS5unm6F4DpqKgGwmq\nIuD2mVxgz71MbbkNm44Ut01n4XpekKLeDQo9WHP/8fIX8Ln5R4PqpExSQqlqdRUaZFoRay7brFZ7\njAMwTksiurZdBQNgbCCB4awCjmVeF4pod1vGzfhLAFtzc3Mvzs7O/jKAXwfwzYbbdEwDGB5OdbpJ\nH69j9I/fzY/+MYyHuEII1/CA2vE9Gh9SsVnQMTTUnAwZ4ArZzZ8YSfX8nn9bNoE/+eQreOnKDn76\n+8O/zZcNZFMSRkfiL6itMDCggmEAzXSC52JaDgzTwUBWqXt+M5NkV970yGdlZVuDLHK447ZRcJFF\n/nc+eBgf/ypZ6NxzYjT2NZ67FKpKmlPFJF0IsCzAMgA8mK6JdCIZ/L3nJSGwPHRXh5wki/fBdLrp\n/kd0Xz3wFdG33DPd0/v8u//u2+F5XtPxs7YI+T04MtZ0f4eHp/D0+vMQOAEjXRyDn3voR/BLn/8t\nfGb+i7hv5hQ2N1bx2fkvYigxgJ996EM9EaS9QuB4gHVj3yNmiyxCJ4YGr+n54WB5ApgHTk8f39Xj\nqGIChmtg2v+MOh5QrDl4em4Ttx3I4h0PHqo7nlf9zY6xbPeva3g4hclXx3BuZw6prABZkJt+T6HZ\nOrJK82dzrxh0SbhSzdOa7ruWJ4vIw6MTu3rcmdw0Lm5fQSYnIZOSsbhRwcCACo7rbJZz2fA2jz67\njEcePBz8f75Uw4WlAk7MDGD2SDwRBYgKa9nxn8MoXn5tC6bl4u7jIx1vOzCYBMuQDa5Ot233e8N2\nIfIsWJZBvmJcs++CVrNgOy4GswkMD6dQsssYULIYHWne/BrLDGGxvISrxlUAwPGJQ109rxMjx/Ds\nyktgEhY+u/hP4BgWP3zP+/DV+SeAVcCTTUyNpfHcxS14HgJFdGp0ECxb/1lQBQUm6t+P248M4p+e\nvoqdqtX0fCq6DVnkoGQJ0drSt2FKVUxlQp0qN0DOfbrZ+bPQiFa3N23yeIcO5CDwHN505zgefeoq\nvvICIfFnWlyn7j85gc8+voirWxoevn+mq+dQ81PfDx8YwHCbpHbHdXCpSK6TtljD8HAKowMqLi0V\nISoich1q3URJAMOSa1wuXb+WyKopIA+AsyEnpNjXtpbXMTKQwOQEOWeO+x2wbdcu1wG7IqJzc3Nf\nivzvPwD4YwB/D6KKUkwB+Fa7+9ncvPZFwX1cGwwPp/rH7yZH/xi2xrr/vtim3fE9GkxJuLpexvzV\nfMswolV/ttJznF2953fM5PDcxS28NLeOsYEEPM9DvmxgfDCxq/tLKQK2CnrwtzQVUubZuvsTGXIx\nX1guYGU1g8W1Mg5PpLGzXa/O8CB1LovrFUwMKE3PyXQsPLX8AgblHFiGxY5WhOHXxWztaKhUzYBE\ncq5Q9/dJIYkdrYi1LRK24RhM0/0bVbIQ4EUXakJASmT35bO9tE1UHaYmNt1f0iPkk2f4rh/rg8c/\ngN977k/we9/8U7AsAwYMPnTiA9CLLnRcv++iwAjQzFrs894okE0Tq9r8Pu8nTqgn8PNnfgpT/IFd\nPY7CySgZFeR3qhB5FsWKgT/9B9L7+d4HZ7C1Vf8ZXdokx5K1hJ4e786Bk/hs6Yv46oVnAoUUqD9/\nOq6DqqlhVBm5Ju9ZklexXS003ff8JlEzJUvd1eOOyWOY817DCwsXwft8Y3G50FWo2pr/eLmUhHNX\ndvCt55eCGesvPbsEzwNOHxls+7wkgUNZMzs+92+9QNSjQyPJrl5nMiHWnd/i0On6VyzXoCoCVJnH\nylYVGxula7JYpz2lIsdgfaOIvF7ETHo69rmpDFEen7r6AgAg6WS7ej8OKNN4Fi/hD77551gtb+Ch\nibPgagpEhxCf+fU1KHy4YeAxNniWx3aMWiayIqpG/Xs76ld1PXt+DfffNlR3+62ijrQq4vLaSvCz\nr154Co/MPFx3u6QiYDOv9fQ5bncM86UaJIFDwR+bOTUzgEefuorn/c7rQTX+PDCSEsEwwAtzG9i8\nb7qr57HmV9c4ptX2+c+XFqFZ5HgvbK7hiFyGIpAv3msLOzg41p6EF4p6oIjaNa/usViHbNQyvI2N\nzQo2B+rHY6o1C4WygTsj38mRrIKljQpem99u2/O6H2i3wdBLfUvwDZydnf372dnZU/7/vhXASwCe\nAHDf7OxsZnZ2NgngQQBf7/3p9tFHH33cWIT1LZ0tdN0k5wYdnT3OiFLQCHpqz62ZDkzL6Xk+lCKt\nSihFgiFKWpiY+/Tac/jL838L13Mx4C8wtks1LG1W4XoeDozGz9j9y0dm8f0PH8VkzI4wteXePXIX\n0mIaZbMSvLe0voXz01qVhhm7lJhEJTIjGp0hpaAWsjuPZvGj33WibZhJLyi2SLAEgJEEmX1r1yHa\niCPZGbz70DtQMIrY0Qt496F34HBmZl+eay8QOKGpvoUirCG5ttZcnuVxLHd414t7lU9As3R4ngdZ\n4rG0WcHLl3dw4mAOt880B1WtaqS+YVgZavpdO9B5zsXSUsvbrGub8OBhJNHbfXeLtJSKDSva3IM1\nFwCmkzSwaCWY2e52TpTWPb3vLaSr8nNPLAa/a5eWq9s6/viFj+BycR6KxHc1I3puIQ+GCVNNOyGr\nivswI2pDlXkMZxUYbbqiP/fEIv7m0Yu7fhyamJtUBJTMMlzPbaqLoqAVLqvVdfAs33VIFbXgnt+5\nAJ7l8a5DbwcQSeI1CvVVR6zTFFREofByXY8oQLIS0qqIuauFOtut47ooV01kk1IQwgQAL/pZAVFk\nk+KeA6aiqOgWVCXU2qg9FyAErFWVmiLxGMkqLeto4lComEhIPKQOHeFzO5eCf9P043BUpvNrj4YV\nNQdJ+cSTs2LDiugs6PhgeF6n/165wcm53aTmPjA7O/sSgH8D4Ff9f/81gI/Mzs5+BcC7AfwHP6Do\nV0DSdf8JwK/Pzc315ZY++ujjpoPe5Ywo0F2XaGNHZ6+468gQGADP+7NYdO5mt0Q0kxShG+EsSfT5\nfWv1aTy++jTytWIQ679drLWcD6U4OpnBO88eiCUWdMbuzMgpZKQUPHiwGfJ+aTULhuVClIiq2Rj2\nkhKTsFwbRX9eM25GlP5saIDHXUf3jwzkjSJ4lo8lZZR0tOsQjcMjBx/G2bF78NaZB/DIwYc7/8E1\ngMDyTWFFFNp1IqJ7RUJIwPEcGI4JReT8snfge7/tcOztl8vEktdrINSUf/ulykrL29DfXauwqZSQ\nRM2pNc31btV2oPDKro/VFA0sKi9HukS7S86lBOre2REcGk/huQubWNvRUKwYmGuTlnt+5yJe3j6P\n5zZeQkLiUDOc2LAjippp48pKCTNjaSTk7r5rmaQEw3J66iiNwnU9aIYNVRYwnPXP7zFzop7n4dPf\nmscXnrq668cKguwSQnCOawxHoxiIBBiNJUa6njWeTk4G4TZvnXww2Fij/80bxbpj5bE2RDb+2iJz\nMkzXguOGZIdhGMxOZ1GsmHXXwVLVggdCMvP+pp7IiZgvLTbVEWWSUt01aa+o1CwkI58XnmNxxldr\nG2tbGjE2kEC1ZgfHphMKFaOroKK5fDMRzfZQN2TaThBW1Di/SzdwGc6OfQ+jibkX8pdwfucCJl4n\nybkdV1lzc3OPAzgV86v/FXPbjwP4+D48rz766KOPG4awvqUbRZQsAtsR0b2EFQGk+/PIZAYXlwqo\n6FZdEuFuEFYcmBjJKnWLIUpECkYRg0oOaVXETskIE3NbENFWoGm5g3IOB1JTQR1Fxa5AFjloNRum\n7YCXHNgAEjFEFAA2dULC43tEyUWZVrzsF4pGEVkpE0uuJU7EwdR0k4LbCSzD4oO3/8ANtcYLrICK\nFb8LXrE0MGB6fl3XG7TCRbf1ILDo9NEhHJmMX8QvV1Z3VxUjJJCTskFATKv7BkLSut8YSQzh1fxF\nPLvxAh4YvxcAST/d1rcx1kVgTSuMqyPgGQ5L5RUcl+4GgK4Di8qaCZ5jIYsc3nn2IP74f7+MLzy5\niKmRJDyvdVoufa80S4ci8fBAgqZapVxfuFqA43q4fab7NkB6fitVzaDepxdQVVhVhMDxslnQm+qd\ntoq1INTo6kalZX9yO4SbgCLyBhk/aKyLoqAKJoCe+oY5lsMdg8dxMf9a3eYXrYQp1AoYGA+JjcvY\nkPh450tY4WJAZcMNkNums6TC62ohqEWhIT4ZVULeIMTr/tEzeGzlCby89SoenLgv+PvGa9JeYDsu\nDNNpCvJ76NQ4vvnSGk526JgeH1TxwmvbWNvRWiqnFKbloFqzO9pqLcfC5eI8JtQxrGubATEPiWh4\n7fI8D8ubVYwNJsBH5rUt2w1GWBpTc4PrImfHKqJrkcTcvzj/57BdGz9x5OcA3Pjk3F6suX300Ucf\nbwgERLSLRcxIFxUuZd0EyzCBNWg3OH1sCJ4HvHBpK6KI7m6uI1io+buwpSpZDKUTIqr+DEvBXzgM\npmXslGtYWCuBY5mg7qRbRG25DMMgI5JFVskoIyHzqNbIhVMQWiiiAiWixIYot7Hm0lTe/YDjOiiZ\nlaY+vyh+7u6fxE/d+SP79pjXCwIrtFZEbQ0JXmmb/vp6AK1wqVoa0gkRDIB/1kINLRpllK3KrhXL\nyeQ4SmY5SN5tBCVX10oRfcfBb4fICvjEpU8HG0UlswzLtXdtywWIPXo8OYbl6iokiWy2dE9EraDu\n6Z7bhjGclfHYS2v42vNEHW6Vlrvsq8earYddwm3UxHNd1rZEESTn7jKFNUhclfmAFMVVuMyvhRtJ\nC2u721SiynJKEVrWRVFQay4ATKi91R596MQP4Nce+MW6UDSFlyFyRK3MJqVgpMGF3ZTKSkHPz40V\nLtQ2He3gpPbobEoMrLnfNvUgAODFrVfq/j6scNn7ZmI1Yneuf445/M7PPIQ33dH+vRvzLatrXVhW\naTpzp8Tcy8UFWK6N4wPHkJUyzdZc/72aW8zjN//iGfz7P3sSX3jqat19mFbrHlG6McfwVltFdGRA\nRsEoomSWMZwT6353o/D6vtL00UcffdwA1PyFkdKFIppLdbbWVDQLyYaOzl5x2recPl9HRPeqiJKL\nfjDDmhCh2eTiS3dsB9MSbMfD/GoZk8Nq3Q5tN4jacoFoHUWZVEb49S2c2HpGFAA2NKqItrbmGvb+\nKaJFswQPXux8KIXEiRC43ancNxICx8N27bpOUwrN0npWDW8EVH/hpdkaPvC2o/g/PnAa0yPxKg4l\nP7tVLDvZc5cqK8hJ2WvWvTog5/Bdh96BilXFJy9/DgCwqZGNmW7nBFthOjkJ27Vh84RI9TIjSkcN\nWJbBI/cdgO24WNyotLTlAsCSb5HWbC1QK/U2nY3nF/LgObZJjWyHoEt0lxUutINSVQQM51pbc+dX\nS8G/F9d3R0TLEbcMJWuNHaIUSUENOot7UUQBMhfe+PlkGAY5KYtCrQiWZZBNiQA8eEzrGVF6rm2c\nE50YUqHKPC5cDYloUGuiSsgbRah8ApPJcYwlRvDqzkWYkY3DrLo//a9ASO7jqs0yqtjxOjzmK7pr\nO10Q0XJ31S3UljubO4qcnEHJLMN27eDv5tfK+P2/fxH/+a+fwxX/c3Vpqb5Cxqqz5sYrogxn11UP\nUaxuV5FOCHDZWnDeNzwNA2mpq9d5LdEnon300UcfDaCKaMUt4i/P/22QdBcHnmORSghtd98rkcLy\n3WJ8MIHRnIKXL+8EvZ7p3YYVNXSJ0sWQqrDBTjddFNEFpYfW86Gt0GjLBRBYc4tGGQlZgG6QmRZa\nGRCELvigRLRo+jOiMYqoyApgwOyrNbcQzGv1brd7vYPOtdpu/YLF8zxULQ2qcP2qZHaLUBHVMT6o\nxgYUUYSKZe+dpQAwmZqou58oqFI6lbq2tekPTz+EMXUU31h+AvOlRWzViI1zSGlvM+yEaf+1VRlC\nbLtRRE2LzPJFz2kP3TkeKFCtbLmapQUWTc3SA4dIK0W0pJm4ulHBsalMU8dvOwQbbbskNVXdt+bK\nPAbTMhgmTLeNgiqiAs9iYT1eLe+Eir8JmIwooq1cGAzDBPbcXhXRVshJGVRtDaZjknN9C8WNgobF\nNSqiLMPgtukstks1bBV9V01gzRWQNwrIymQz4dTQ7bBcq25mslW/dRy0moU//fS5WJUaiAZA7c6B\n1BMR9V9jrsOM6Fz+EliGxdHsIeSkLDx4KBolqDIPnmNwZbWE5y9t4bbpLP6vD96DVELA0mb9Z8qy\nXTBcPBGlIy286OCJ8+vBzDxAvq9bhRrGBtXgMwaQa9z4oIp82dj1jPN+oE9E++ijj1sOUfvqbkBP\nyi/vvIjHV5/GMxvPt719Nim1JKK246Jas3cdVETBMAxOHxuCYTl4yk+lzO56RrR+97nsv1e8GF68\n8hFrLkWv86GNtlwgnH+iiigAOK4HlvcVUS5eEaVQYhRRhmEgcSKMfSWixbrneytB9Imo2WDPNV0L\ntufcFIpoIqKIdsJerbP07+KI6F5JbrfgWR4fuO198ODhb+Y+gQ2N1FDsVREdUwlp1EE2XjSjc1hR\ndK6RQhI4fM9DhzCQlnD/ifbzoYBvze1ARF9d6N2WC0SsubtMYa1GFFGeYzGYlpsUUdfzML9WxthA\nAgdGk1jZqhLFqkdE38tuzjmnhm7Hsezhtk6NXkDJYcHww+n8GcTWiiidEa01/W72ADlO1J5Lr8Fy\nAjAdM7Ac3zl8BwDgxc0wPZduHnRjp37u4ha+8dIavvLs1djfV/yNhGSX4VaNSCUEJCS+SyJKrbmt\nr8W6rWOhdBUz6WnIvBxJKy761/VhHBhN4me/70788g+ewZGJDKaGk9gq1uq+G6btttwokP3z4eSY\nhGLFxOPn1oLfre1o8ABMDCYCpxNAjjlNzl29gcm5fSLaRx993FLYKOj4L3//Ij752JVd30fNdCAK\nLCr+Ivdi/nLb22f9xL9ajMWM2mS66ebrBGrPzft2oN0qotFgCAAo6xY4loHDhouAwJqbCYlhr4po\noy0XCBXRkkl2gykYn4g2zojS21M0pgVGf76f1txO81o3M6iduLHCpWqRWSGVf/0rojQptp1bgWK5\nsgqJE3etHg4rgxBZoQMRvbaKKAAcyx3B2bF7cLW8jK8vk5r2QXlvRJSq3zbId6cbRZRa+RvD1952\nzxR++6ff3LKTcKkFEW1lBz5PiWgPQUUAgsffvSLqK2o+kRnOKihWzLrZu428Dt2wMTOewoHRFFzP\nw9Jm77N2Zd0i+QEyj4JRREpIgmdbK3nfe/S78fN3/9S+dZrS81u+RpJzW9WDUARENOZcO+uHNVF7\nLrWtgiffUUqeZ9LTSAlJvLR9LrCJ9mKnptc/+t9GRDcSdgOGYTA2mMBGXofjNo8vRBHYj9tYcy/m\nL8ODh9ncUQChy4bOif70+07i13/0fpw+NhQcV1qDFp3fbKeI0pGWkUEBHMvg809eDdKoKaEeH1RR\nqEVmeE2iiAI3Njm3T0T76KOPWwo07GB9D3MPNdOGIvLBwvxS4XJdP1ojssnWVrBypKNzrzg6lQnI\nmyJxXdXLxIEqBqXAmmsilRCg2+GinlpzqSLKAC1n8OIQZ8sFCIFgGRZFoxyElQAIduIbZ0STQviY\nIiu0rCyQeWl/rbk1qk7cgkTUV0QbA4toUJV6MyiikbCidrBcG2vaBibU8V0HMLEMi4nkONaqG012\nZjrzeK0ScxvxvqPfBYVXoNs1cAyHnLy3zycl9BaIwtXNjGglRhHtBpS0p8UUTMeE5P+5bsQriefn\n81AkDjMdEkkbEVpzd6uIhtZcAHXJuRR0PnRmLB1s0O1mTrSiWUgqPBgQq2R2j8ezV1ByWDCKGM7I\nANfJmksIV6M1FyDXB0XiMEeJaNWEyLPQPWIxpUogy7A4OXQCZbOCBb+fN92DnZoS0J1i83MAImFT\ne9j8HRtIwHE9bBXiH4OiGyIanQ8FEHxn8xFS2Igp/1q7HNncMO1whKWVNddhTNx/YhQrW1W8+Bqx\n26/4najjQ82K6ETQJdonon300Ucf+wI63xM309MtdNOBLHKomOTkXDTLQWprHOIi2CmC6pZ9UEQ5\nlsWdR4gqmk2FhG2lsob/98nfa1sxEUVC4sFzbBBWVNIsPzE3XNSXzDIc1wmKzscGE5C6CG+iiLPl\nAmQRkhZTKJllqBHrlMeS96mZiCbAgPx9XHULxbWy5u51of96REhE60kHTWS9VqE7+4nQmtv+e75W\nXYfruZjc4wznZHIcjudgrbpR9/PlygpETtxTem0vSIspvPfwOwEAg0puz+nGVBGtObTXtwtFdJe9\nyMuVFfAMh0PpAwAQ2PHjrLlbRR0bBR2z0zlwbG+vURI4KBK36/GMRiJDu0TriKg/HzozlgqI6G7m\nRMuaiWRChGbrsFyrbUr3tUBoEy3gwZPj+I57yexpK+dJO2suyzI4NpXFRl5HvmygWDGQSYqR2dfw\nXHpq6HYAYXquIvGQBK6rzYOAiJbiSSKdEX2s8Fl89soX297XE6vP4L88+9/qgpOAcE50tcOGNlV9\n21WpzeUvQWAFzGQOAgjTj+n4SxxoOv3SRviZIoooUWgbe15DpbqGd50l36/PPbFIXoNvu50YVOuI\naNEIFdFuEoKvFfpEtI8++rilQG05+bLR0VbTCjXThizxqFjhLuGlQmt7Li2zzscRUX1vHaKNOHOM\nENFoOMLL2+dxtbKCz89/qav7YBgGGVVEsWrCsh0YpkM6RCOLeg8eimYJSUXAt5+ewCP3Tff0PONs\nuRSEiJbqUolDIlqvxnEsF6g2cYm5FBInwXLtuqL1vaBgFAPSfKtB4IjS06SI+lZ09SYgoqE1t/0C\nammfOj6nYuZEqdo6qY5d17qbhybP4oHxe/Ftkw/u+b4ElofIidAdDSzDdKWIBi4PpXtF1HEdrFbX\nMa6OBhUiTBsien6+sy13XdvEpy5/HqbTPNeaUaW2SebtEFg7/Y2yuAqX+dUSGAY4MJrExJAKjmV6\nVkQd14VWs5FUBGzrJHwqWtFyPUDJYd4oQhI5nJklj99KEW1V30JB7blzi3kUqyYySSkgP9Hgt+MD\nxyCwPF7aisyJJsWerLnbxXZhRS7Ol17Co1e/HpsOTvHlpcdwofAaLhcX6n4eBBZ1IGiFCnETtUqT\nLxplrFbXcTR7KEg8DuzQ7Yiob81d3oooohax5vIM1+QMYhkWEkc2NKZGkjh5eAAXrhbw2koRq9tV\nSAKHXEoiCckMCwYMsYInBKgyj5U+Ee2jjz762B/Q3WzH9VAo974QcVwXpuVCETlUrGqwwLxUaD1z\nSq25cY8XWnP3h4jecWgA2aSI2w6EC5YtfxHz/ObLLbsOG5FJiihWzKBDNKWGiihVd/I1EqbwwXce\nx1tPT3b9HFvZcinSYgqWa0OQQtLoshY4hgsu1lEk/cCiuMRciqDCpUOXaNXSsOjbwdqhYBSRFlOv\n+z7N3YCGFTXPiPpElH/9E1GqiFY7KKK0umWvM5w0jCha4bJW3SBq63Wy5VKwDIsfPvH9eHj6oX25\nP5VPoGppSMg89K5mRHtXRDf1LViujcnkBBL+58vjyHc1jvzS+dDb2wQVPbr4NXxu/lF8Zemxpt9l\nkyIqugXb6X0zMrDm+qmrVBGlgUWu62FhvYKJQRWyyEPgWUwOqbi6Uelp87Oq2/BA3sdNndRTDStD\nPT/fvYCSQzo7SM+frWZElTYzogBwm09En57bhOcRtxAlXFHbscSJmM0dw2p1PagiyqgiSpoJ1209\nBgOEG747pVrsyExFtwC6yWHruFpejr2fqqVhqUy+z/Ol+uCjoEu0kyJaMQJH1Ia22eSYuNBgywXI\nZqvIidhpY82VRR5DGbkuOdeyHTCs01KtVnglqNV51/1EFf3s44tY29ExNpgAwzAkvVjKICUmUTBK\nYBgG40MqNvP6rr4r+4Fb7wrbRx99vKFRiSyktlrsmLaD4Ve3SD4RnUqOQ+UTuNhOEW1jzQ0WbT2o\nB+2gSDw+/G8exI+9547gZ3Q33fEcfGv1qa7uJ6OKcFwvuNCmFDFQl6j6U2izY9sOrWy5wWP7XaIQ\nwvfLhQWFl2Nvn/Ltg+2tuZSItrZ2LZaW8FtP/i4+/PQftCWjrueiaJT2LZny9QYhSM2tJwABEb0J\nFFGO5SBxIvQOiuiyP8O517oL2tsYVUT3i+TeaCRFFVVbQ0LiAzWwHXazuUaV6cnUeLCJQF0QcYro\n3NUC0qqIiaHWwVmUYPzTwleaQqvozGFpF/bcqh/eJvmVMaE1lyzyV3c0GJZTN7t6YDQFy3Z7sjiG\n1wYhGP3Yawpyr1B4GSInBqql2YGIyi3qWygOjqUgCVwwn5hVxWDevjH43k7ulAAAIABJREFU7dTQ\nCQDAq/mLAEjIlOeR2p5WsB03OKa24wWOoyiqNRssF/58budS020A4EL+NXggRHa+tFj3u9GcAgbt\niahu2KiZDrJJCZ7n4fee/RP8xhO/jY++8jfY1slGSuN8KEAcSQN+f2s7TA0nUdas4PVajguwduv5\nXV4OjsvxgzkcHE3h2QubsB0XE4MJOK6DkllGVsogK6VRNErwPA/jAwm4nrenXI29oE9E++ijj1sK\n1ciFaatFmEE70A5RUfJguzaSYhJHsoewU8sHF5dGtCWiu5ynageeY+sI21ZtBwqvQGAFPLb8RFsr\nEgUN9KA7rqmEEKhLE/7COjpP0gva2XIBIC2SOSiXC4+PDbMl0aT2WKXFTjDQmYg+vfYcfufZP0LB\nKMKDh8fXnml5X1VLg+05131e63ohSM1tsOZqNxERBYAEn2iriHqeh+XKKoaUwbabGN1A4WUMygNY\nrqwGKsz1qm651lD5BEzHhCx3a83tPaxoOWKRVvwwLIchC+xGFbaiW8iXDRwcTbVMh3VcByv+fWq2\njkevfq3u972ksDai4ttl6WMnZB5JRQgU0SCoaDw8PxwYJa6NxR7mRCsaTR8WA1VwOHF9FVGGYZCL\nkKJuFdGKFf86eY7F0cl0oK5lUxIKRhEqn2giUPQ6s6kRNTjbRWBRoSEpN85+XdUtyIlQKY32lUZB\nf84yLOZLi3XqqsBzGMzIbYko/WxlkyKKZglFswyWYfHU+rP4j49/GP/r4j/i1Z2LSPAKplL154ic\nnEXV1to6eKZG/DlR/xptWqS+pTURJSFmnueBYRi864EDwe/GB1WUzDJcz0VOyiAjpWG5FnRbjyTn\n9oloH3300ceeEd3R3w0RpbvznEj+mxKSOJY9BKD1nGhaFcAwzRdJIFquvX9ENArXc7FTy2MsMYx7\nR09ju7aD8zsXm25nuTb+4tz/xBOrz/jPuZ6IptUYRbTDjm0cOtlygZBY2kxIImyYTUFFFIE1tw2Z\nkH0i2pic63ouPvnaZ/GRcx8Dx3D4iVMfREpI4pn155sSUClomuGtrog2WXP9GdHETWDNBQhhbjcj\nWjCKqNraviXaTiXHUbGqKJqEiAQqX3JvauuNBt14kBQHpuV2tOiVNQss5+CvLv41FkrxXY6NWArU\n44lAEbVggAEJh4ti2T8n0cCWOKxpG7A9B/eOnkZaTOFLV79eN5YQdInuIjm3qltIKBw++srH8Kp/\nLh3OKtgq6HBdLwwqGg8V0YNjNLCo+znRgNArxJrLgMHgdZ4RBYhSWbU1mI4ZbOS1U91GEyO4WLjc\nsjqJ2nMBIJ0QiB00JvSNqr9bvhpMj1mxTf8rteVyLNkkiA0IbCCirxWvNJ3rAGAufxESJ+KOweMo\nm5Umq+z4oIpS1WwZ4EVnVbNJCauVdQDAIwcfxodu/wBSYgqPXv0a8kYBt+WONI14hLU57eZEyXVv\nabMK1/XguB48xm67SeDBC47hPbPDGPLr18YHE2FolJwJ0uALRgkTQzc2ObdPRPvoo49bCnWK6C6S\nc6kiyglkp1IVEjiaOwyg9Zwox7JIq2Ls7mxln2dEG5GvFeF6LgaVAbxl8gEAwGPLjzfd7n9f+jSe\nWHsG31h5EkDYtbe0QS4+KUUIiMjkHhTRTrZcILTmmvBJBOPCgQWlxQxoSqBEtI0i6v8uOrtkORb+\n24t/ji8sfBnDyiB+8d5/i7uGT+LesdOoWFWc256LvS+q6E6nup+LvZkgtqxvudkUUQU1x2gZULXf\nHZ+TkcAiorauYEge2LPaeqNBk3NFmbyPnVTRsm4hMVjEi1uv4GtL3+rqMZbLq8hKGahCAglfEa3Z\nOmSJa7Lm0j7OqTZElNpyj2Rm8K6Zt8F0THx+IQxry6q7U0Rdz0O1ZkFMVfDU+nP4xsoTAEiFi+N6\n2CnXML9aAscymB4Oq6WmR5Jg0FuFSzTIblPfxoCca9sheq1ASWLBKHa05jIMg/vH7obt2nhu88XY\n28xG8gsSKlFZ4/qYk4IKkRMDW3JGpc6i1seMkj9ab9K4+et5xK4ryW7wOizXxpVSfRhRvlbAhraF\no9nDOJKZAQDMl1oEFrVQRYPqlpSEVY0Q0Ql1DPeP3Y1fe+AX8c+OvhujiRG8eeJs099G04pbgX7+\nlzcrMG0HgAePdTqq1dSey7Esvv/ho5gcVnHbdLYuNCorhsd8KEO+j3Eb6dcDfSLaRx993FKo1Gxi\nXUV7RbRas2Lnh3STLIoY3ieQQhJTyQnInNw+OTcpoVAxmsITypoFSeQg8N1Xn/SC7RqZDx2SB3Aw\nPY0DqUm8tHWubqf1xc1X8JWlb5DnY5GFErXm0l3QVEKEZungGY4siBiu7UWyFTrZcoHQmlvz/At8\niw7R8Padw4roxTlqdXps5Qm8vH0ex3PH8Ev3/gzG1FEAwNmxewAAT6w923Q/ul3D15cfR1pM4Z6R\nu1o+3s0Mas01Y6y5DJi2hP/1BFoz06rCZb+ts5O+vW65sop8rYiqpQU/u5lBNx54yQ946RBYVNHM\nQHG6XJrveP8Vk6jIVJmOVu8oEt9ERGlS6NRw695iSkSnUpN4cOJ+DMo5fH3pW9ipkfGJdJtu53ao\nGTY8DxAlQmSC2U1/TnRtR8PiRgWTQypEITynyyKP0YEEFtYrbTuno6CztrLsoWSWr/t8KEWozhUj\n1tzW54D7x84AAJ6MOX8CwKHxVJAiy4jkGhznLmEYBsPKILZqO/A8L+zjbrN5QInoId8W3aiIGpYD\nx/Ug+kF4JwfJHGrjnGh0dvOQX6vSKrBotYVSGHaIioEiOu5fYwROwNsPvBX//oFfwO2Ds01/S0Oi\n8m1cR6MDCXAsg6XNKkyb2HKBdmo1+YxG53fvPT6C3/jxs0glxCCQKufPiAJEEaV9udUugsquBfpE\ntI8++rilUNUtpBICsimpbVjRH33iZfzmXzzdtGio+eXqnk9EVTEBlmFxJDuDDX0LRaMUe3+5pATT\ndpsWVWXdQuoa2XKBMDF30F/EPDT5ADx4+KavfOZrBfyP838HgeWRFFSU/W5USkQtmyy4UqoAzdKQ\nEMjrzUiZnq253dhygdCaW7UrYBkGTEBEldjbZ/3d45TYemEqN8yIOq6DRxe/BoEV8KN3/GBdN+ZU\ncgLj6ihe3jrXZO38xsoTqDk1fPvUmwPCdquBJhPHpeaq/vG/GaD6ylore+7yPlW3UEQrXBYKJOzq\nZg8qAiJE1B9HaKeI2o6Las2GKJPbbGhbHZO6o7ZcILR+a1Y8EV3aJOeF8cHWyvzV8goYMJhMjoNn\nebz70COwPQefvfIogOi8YW8qDw274/3Xt6ltw/M8DGfJJtgLF7dh2W6dLZfiwGgSumFjs8uREBpW\nZHPk/Ru5zvOhFFkpVMcMl1z3WpEdgFTM3JY9gkuFK8H1JwqB53B0Mg2GATyeXIOpAtiIIWUQpmOi\nbFWCcZF2xywkouT9b1RPqcpMR2vuHL4DLMM2zYlGieiB1GQwJxpFR0W0TGdEJaxW18EybNfHMFBE\na/G5EwCZtx0fTGBlqwrTdAIi2q0i2oh8xJpLj3nRKCLhE1Gti6Cya4Gb42rTRx999NElqjUbqixg\nKCNjp2zEzju5rodLy0VsFWtNu4DUmuv61QJJ37Z2tMOcKN3NzUcujJ7noaxZ18yWC0QUUYXYoe4d\nPQOZk/GNlSdhuTY+8srHULU1fN+x92AiOQ7d1mG5dkBEKVIKqW+hhC0rZVAyyz31cnZjywWAtG/N\nLZplchHsoIieGDiGD574Abxp/N6W9xnMiPrW3Gc3XkTeKOBN4/cFvYUUDMPg7Ng9sD0Hz2yE9jLb\ntfHlq49B5MTA5nwrQmhlzbW1wDZ5M4ASmlaBRUuVVSi8vG/djANyDjInYamyioWCr8jdQkQUPPk8\ntEvOpaMPvBieFxo7GBux3DBLSz9jmq1DEXnohhNsCHqeh+XNKkYHlJYuEtdzsVxZwWhiOFiU3zd2\nBmOJETy+9jTWtc1g9KBXay59fZxAzkk1p4aKVQ26RJ+eI/UcM2PNQWYHR8l5bXGtO3suJU06yObm\nDVNEIzZRw25vzaW4f5y4Sp5qoYp+6J3H8XPvvxO6R0h2q3n7IWUAAJkTDQKm2qjYOz4RPdxCEa3q\n5LixAvl8DshZHExNY6G8FBA0z/Mwt3MJSUHFRHIMIidiQh3D1fJy3fWuW2tuRhWxpq1jRBnq2lod\nvuedk3MNy8HKtgaG66SIUiIafz6MWnMzVBE1SxB4DgLPdhVUdi3QJ6J99NHHLQPHJYpkUiEdXJ4X\n7qBGsVHQAyVws2GOlFpzXYb8XdKfTzyWbT8nGpeca1gObMdFcp+qW+JAgx4GZbKIkTgRZ8fvRtEs\n4b8+///hteIVnB4+hYcmHggsrhUz3H0GSPCDJDLQbB2qr0rm5Aw8eEEwSzfoxpYLEEVO5RMo+USU\n8aP2W83asQyLs+P3tK9v4UNF1PM8fHHxq2DA4G0H3hJ7+/vGzoABgycj6bnPrL+AglHEmyfur1NQ\nbzWERDRceHieB83Sb4oOUYpEG0XUdCxsaJuYUMfbbor0ApZhMZEcx4a2iYvb5DxwsyfmAuFmG2iv\nZxuLHg3YYYWQrF7pmoiS94oumDVbgyLxcD0PhkUW2fmyAd2wMdnGlrulb6PmGHVJpCzD4j2HvxOu\n5+LTl78AVebBc0zbecM4UBIefX2b+jZGcuR7QYltrCLaY2ARfS8rLrFMXu/EXApKEvNGEWYXiigA\nnBk+CYEV8MTaM7FW5NGBBO48MhRYT6kVtRFDMg0s2kEyIYBjmbabB4Wy4avlKgSebSKilNzTa4rC\nK5gdOArXc4NN5HVtE0WzVBciNJOehuXadfVM2aQISeTaElGGATxBh27XgtGPbtBNWBEQBnbNr5b2\nrIgWakWwDIuUmAysuUWfnCZkvm/N7aOPPvrYK+gCiiiiZJEaF1i0HCmJ3sjX/54qohbIz5M+ITmQ\nmoLICi37RLMpn4hGiG9Fu7aJuQCwrefBMixykVTChyaImnexcBk5KYsfOv59YBgmsLaWzDJEgYMi\nkd3btCoSAgcvIGBB0XnMjq3jOnhq7TkslK4GVTHd2nIp0lIKJTqf0kER7QbR+pa5/CUsVVZweuQU\nhlqoDFkpg9ncUVwuLmBD2wrIK8uweHgqnrzeKhC4Zmuu4RhwPOemCSoCEJDmuBnR1eoaPHiYSu2v\nYjmVHIfruXh+9RXInHxDUk73G/SYe5SItlFG6FwjVU8B4LXifNv7X6qsQGCFwLbIMiwUXvatuUT1\n1P2RCJri3T6oiFh9G8PE7ho+iSF5AK9sz4FhGGRUsW0CaxyookZJOUDqRTJJEQJPlsw8xwSJplEE\nimiXFS4VzYIosMgbxNVy42ZE/XN9rQDDd5S0mxEFyKbhXcN3YFPfxpUGS2sU0aTWONDXvKlvg2UY\nP/SvnTW3hmxKBMsyGEjLTRsNgZrvE9EErwQdnnRONK7bcyZNqk6ir4VhGIwNJLC+Q9KSm15bxUBa\nFbGhbQII50O7gciJUIVExxwGuiFzZbUUjLCIbAsi2qHjNW8UkJUy/veP1L0V/FEjVRbabkBdS/SJ\naB999HHLgO7oqb4iCsQHFtFURgBBNxxFzV+EmSB/R6tDOJbD4cwMVqvrqJjN4QVximhQWN6DNbeV\nraYVtmokbTE61zeRHMOx7GGwDIsfOxnOR6YFslCiM13UnptSBFT9KH66uKcLh7gd22c2XsBHz30M\nH376D/Arj/1H/NnLf4VPvvaZrmy5FGkxBc3WIUvRGdHdE9FofcsXF78KAHjHgbe2/ZuzEXvZuZ05\nrFTXcM/IXRhUbn5y0Q40hfjFrXPBzDM9/jeTEkyfazVGEQ3nEveXiNL7s1wbk8mxfVNbbyRoaq7j\nu0DahRXRc5rHkduOqaNYLC/VqetR2K6NteoGJtSxunNUgk9As3Uk/M0wSn7puTmO6FHQYzudrCei\nDMNgRB1GzalBt2vIJCUUK2bX4UFASGRctl4RZRkmuKZMDScDUmq7Nkwn3HAcSEtdJ+dWdBMphaTG\nkuqWga6f535C4WWInBgooizDgmc6h+uFoW+tO5nzkYCcOAw1VLikVRHFavwxcz0PhYqJnH+tHUjL\nKFbMOpJIFVHaUavwCg5lDkJghYCAhkT0WPB3MxlCRBvnRMcHErAdF9ul+nWE5z+XbDJMzB1XR1q+\nD3EYkLLI1wptP590Q+ZKnSIav0lA+3nj1hCO66BklgP1m2EYZKV0sFGQkHhoNbun78p+oU9E++ij\nj1sGdL6HzogCrYhouGO92UIRNVwdDJg6cnSU2nOLzfbcbNBbF+7QhsXv3RHRLy1+Db/wtV/D3134\nZFezmaZjomxWMBSzgPnxk/8S/+d9P4/DfjQ9gIgi2kBEEwI02iHpX8xyEbtWI6gCcufQHRBYAc9s\nvBCk8nay5VLQ5FxZdQJ1ZS81GNSudLmwgPM7F3AsexgH09Nt/+au4ZMQORFPrD2Lf1r4CgDg7R3I\n662AnJzFu2beju3aDv7rC38KzdJRtQkBuJkU0Wj6aiP2u7qFImrFvRVsuUB4zC1/8629IuoH7MCA\nyAqYzR2B7dpBim0j1rVNOJ7TdBwSghKk5gJhfzN1q0yNdK5umY5JLA7TSAvIqCIc1+vJckivITbC\n68amvgUAwZwoTWwFgP/+0l/iw0//frCAPziaQrFqdtVfWtasoLolK2VuWDgawzDISVkU/NRckRW7\n2mCZzR1FRkzh2fUXWm5EFIwiVD7R0uo7IGfBMmxARLOqCMt2Yz+D5aoJx/WQ891HAxkZruehpIXX\n3CgR5VkeIidAYHkcycxgpbqGglHEhfxrGJRzwXwqAIwmhiFzcteBRZphw7Jd5CIdouNqb33CWTkL\n07Vapn4DwGBahixyKGlWhIjGf05o2F/cxlzJLMP13LoNgayUQcWswnEdJGRika+Z3WdC7Bf6RLSP\nPvq4ZUB3s1VFwJC/aIhLzl3arEKRODBonhGtmTSkQm9KEA0Ci/LN9tzAmhtVRIMO0c4zoleKi/jE\na58BAHxl6Rv4oxf+LPaCEkWYmNtMRFNiEhPJsaafAUDZ9CtcfPKcUsWmDsnQrtVMROeLixBYHj9+\n8ofwmw/+Kv6fs7+A9x97L95/7L1d2XKBsEv03pNp3HmMXBz3ZM31Z0QXyiSCvxtCKXEizgyfwnZt\nBxcLl3E8d6xu7uxWxrsPvQPfNvkmLFdW8ScvfjRQRm+uGVGavhqjiJZXwYDBRI+Lw06YSI6BAVmk\n3wpBRQBxE7AMC9PziWjbGVFyTrNgQBVUHE6T6ovLLey5S76NdrLBIp3gFZiOCUkk76UeUURFng3q\nUhrheR6ulpcxKOdi1fuAiBrFILCokRSeX8jjl//w6wFpiYKSVgtGoAwGFS458pxm/FlQ13Mxl7+E\n1ep6oCwdCOy57VVRw3Jg2i7UBIOCUbxh86EUOSmDqq2hYlY7BhVRcCyHe8fOQLN1vLJ1vun3nucR\nO2gLWy69j5yUDa5loz7xW91q/k7ToKJcilwnBtPkv9HjS4+p5Rl115PZAWLD/dLi16HbOmZzR+vI\nNsuwmElPY0Pbqjuf0AqXte3650NHcLKp3hNzKehndafNnCjDMMGcaKeworHEMADUzbkGzzfGIp2R\n0vBAqoPUIDn3+ttz+0S0jz76uGVA53tUmUcuJYFhmhVR03KwkdcwPZzEQFpqsubSWSXN0QJbLsVM\neho8y8fOiSYVErQQd1HsNCOqWTo+8spfwfM8/OSpD+HU0O14NX8RH376D7BSWWv5d9EO0W4QElGi\nOqQDa64YXHwTjdbcBkXUdEysVNcwnZoEz/JkjkYdwcPTD+Hh6Ye6tirSChcl6WBylCwY98OaC5BZ\nnTsGj3f1d/eP3R38++0Hb301lIJhGPzz274Hd4/cideKV/CxVz8O4Oay5tL6FmorpvA8DyvVVYwk\nhjqGrvQKiRMxnCB2wkZydbOCYRioQgI1h7yP7VJzqTXXcMlG3eHsDIDWybnLVVqhU7/BQ9Vszk/f\n1Q0btuNidbuKiSEVbIvzSNEsoWJVMdUwH0oxEKnFCCpcGsJvPvP4As5d2cGrC83VGVQRNd0aEryC\nQWUQWxohomdPjOL4gSzuOkoIx4a2FSRPL/gdlHROdKHDnCgl9GKCXJ9u1HwoRVDnYZa6JqJA+07m\nmlOD4ZgtbbkUw8ogSmYZhmMG3bFR1xJFISCioTWX/Dw8vnQNYLpGcC0DwnnQry5/s+7/o5jxHTTR\nPtFWiih1PmVUAWvaOoZ7SMyloJ/VQoc50aBPlyWvrZU1NyEkMJIYwnwku4EimphLESTnGkUkZLJG\naffdv1boE9E++ngDYmGtDMu+/haMa41KLbTm8hyLgZTcRERXtzV4HgkBGM4qKJSNuveCKKIedFsP\ngoooBE7A0cwhLFVWgoUHBcswyCbFuotiORJWVDYrsaTS8zx8bO7j2K7l8Z0z34E7h+/AT5z6IN45\n8zZs6dv47Wf+EC9tnYt9ve0U0ThQ8le2mq25tAKDLu6TggqO4ZrCihbLy3A9Nwh32C0y/nMpGeUg\nXKFVj2g3iBKOtx94a9eE+LbcEYwlRnA4cxDHIzNDbwSwDIsP3v4BHM8dQ9FXyW8uay4NK6pfJG7o\nW9DtWhP52S+cGJhFVk7vu9p6I6EKKnSHvI8drbmMC9M1oQoJDMg5ZKUMLhfmY+fLlsv11S0UdASA\n1qToho2NvA7b8cKFdwwCW24ynojmIhto1PFRbHCpnJ8nBHQ936y6UUVU9x0xw8ogqraGqqXhyGQG\nv/SDdwcbeMv+rCoALJRJr+xBXy2dX22fNk43KVmZnHdvNBGNht31QkQnk+OYTI7j5e3zTdkJNDG3\nVXULRbTChap/y5vNOQw7jUQ006yIEiLloebUkIhsbE6nJpHgFdi+hfi2gRgimmkOLBrNtSKifqhT\nwoZu13oKKqLoNjmXfh86KaIAcCh9EDWnhnU/QCl4vjGzumF/bCmc1e4ron300ce1xtJGBf/ho0/h\n09+IryG5mVFtUCCHMrJPNMPdwWgq43BWgQdgsxCSVd10IMo2PHhBdUsU3znzHQCAT13+fNPvskkJ\nhYoRLMgqOrXmCvirV/8O/+nJ38Efv/CROkL6zdUn8ezGizicmcF3zbwdQFhF8GN3/CBcz8Ofvvw/\nUItJwgs7RLsjosmGGVFqfxvKyKEi6hMRlmGRlTJNF0k6QzPTYf6yE9L+bmzJLEF3KBHdvSLKMixS\nQhJZKYN7R0/39He/ct/P4WfP/OQtETzTKwSWx78+9cM4mCLHMyM29yO+XiFxIliGhdagiNKaBjrT\nvd94/7H34A+/+zf3XW29kUgKCeh2DRzbPqyoopnBTDc9VxzOHETZqgQWVgrN0jFfuopBeaBpk4lu\nIjD+femG02Vibuv5UADI1s2INvdSPndxC65/fo6r5ajULLAMIaIJPhGo33RONIqliAVysUSIaC4l\nIZsUcXml1Db4hSaqu6J/Lr7B1twoWez1c3127B64nounN56v+3mgwsnx1S0U0cCiiSEVDOIV0Xwr\nRbTBhcTxLhzPqfvMsQyL23JHAAAT6liwKRsF3VyNzolKIofBtNSSiDoi2XDYDRHNyp2tuQAwOeR/\nHzrUtwARVbdYP+uaj7HmhkS0GFhzb0SFS5+I9tHHGww0/a3b0u2bCWFqbkhEPQA75ZDE0Z3WyeEk\nRvyZn6g9t2Y6kBRywm9URAGioB3PHcP5nQu4kH+t7nfZpATH9YLd7jCsSMSGb+96efs8fuvJ38Vf\nnf87vLpzEX934R+Q4BX86B3/Ahxbn1R4z+hpfPvUm2G5dqz1rVdFVGB5KLwSzIjeOzuCn/m+U7jv\nxAiqvqoUnRHMShmUzHJdcBK9wO1VEaULgaJRDkg2jZ/fLX76rh/Dz575iZ4tUoIfaPFGhczL+Jkz\n/wr/+tQHccS3Wt4MYBgGKp9oUkQv5skmG53p3m+wDAvxBgXLXCuoggoPHhTV66iIKorr/w0lojMA\nmvtEH138KmpODW+ZfKDpfqg1F5HKmKXIubkV6Mxpq1nuqMqUiQmQe+rVDQAAwwDr+eb8gKpuQUmQ\n+U9VSGBEIQRxU9tuuu2KT0STgorF8lJAPA9PZFCsmtgptQ4sotcGiyPn4huviIZksVN1SyPuHfU7\nmVfr7bnUctpZEQ27RCWBw0hOwdJmpYnId0tEVZ+3UdWdgtpx42y5ABldGZRzWChdrXvssYEE8mUj\nyI94baWIJ86RgKIaS15jr4m5QMRG3smaO0Ktud0Q0fj031hrrki7REuBNVcz+tbcPvro4xqDFodv\nx6TJ3uwIwor83b0wsCh8rY2KKFAfWFQzbQgyJaLxO/PvPfJOAMCnLn+u7oJFK1zoBbOsW2AYvyza\nqmI0MYKfuvNHMKqO4JurT+EPnv/vsFwLP3Tin2OgRR/hsZyf1FtoVrC39R3InNRTwExaTAYzoizL\n4MyxYXBsqCpFZwRzcgYePBTN0GZ2pbSIlJBs+Xy7BQ0rKpnEmssz3J5TIw+kpzDqBzb00RsUXsHp\n4ZN14Vw3AxJCoinU61LhMpKCuiuV4o0Keg6RFad9WJFuIaESIpr0/+aIT0SjfaIls4wvLT2GtJjC\nW6cebLofWjVBa1J0ww4Tc9sooovlZaTEZEvlXuAEpIQkCcnxz8e0S5Tacg+NpzA2oGI9RhGt1mwk\nVHJOJ9Zcn4i2UEQzYhqzuaPQbD1wqByZIM/tcht7Lp211UFuc6OJ6F4U0YyUwonB27BQvoq16kbw\n8+6tufUVLpPDSVRrdtNsb97fUKbHdTCw5kZnRC0oCXL8GlX4+8bO4KHJB/Dw9EMtn8tM+gCqllan\n7o8NkM/ji69t448+8RL+0188g6XNKs7ePgqdITbvXhNzAUIEGTDB+9QKSUVAJil2Zc2dTI5DYPm6\nOVeAhA6yDBvkRABANpgRLfXDivroo4/rBxrPHZcme7MjCCuKKKL+mJp4AAAgAElEQVQAsBUhmkub\nFeRSEhKyECii0QqXmuFAkMj9NIYVURxMT+Ou4ZO4XFzAK9uvBj/Ppup34Cua5duEPVQtDUlBxamh\n2/Gr9/08fuj4+zGsDOKRgw/j9PDJlq/pcGYGDJimgCTP87BV28GgMtCTpTQlJlG1tKZ6mDA1N7x4\nB8m5/m5qwSiiYBQxk5nes41V5mQIrECsuba+p+qWPt64SPCkBoRuCG3rO8gbBRzJHnpDWq13C6pu\nSorb0p7neh4qmgU5Ua+ITibHIbJCnSL6hfkvw3RMvGvmbbELZ6qI0r5HQkSrSCpCMIPZiIpVRd4o\nYDo52fbY5uQMCkYRSYUHg9CaS2259x4fwfiwirJmQYuEs3ieh6puQfYdMaoQtebWK6JVS0PBKGIy\nNY4DaZIUvuDbcw9TIrrSmmDQsKKKU0BWytxwm3dUKetlRpSChhY9GQktKnRpzR32HT30PaYbEY32\n3HzFRCohBB2uisRDErggxMh1PWg1G7JCzgWJBiKq8Ar+xez3tnUQxfWJ0uTcP/nkK3h6bhOHxtP4\n5R88g5987x1Yq27sKjEXIInBGSndUREFgKkhtStFlGM5TKcmsVxZheGEBD1vkM9ZdKORhhUVjSIS\nfWtuH330cb1gmLe2IspzLET/QtXYJVrRLRQqYTIfVUSpNdd1PRiWA07yldU2wS3ffegRMGDwD5c/\nFyTUZRvqAsqaiaQiQLN0MnMqkgssx3J4cOJ+/Pqbfhnfc+RdbV+TwsuYTk1goXQ1KE4HgLJRgemY\nXSfmUqTEFDx4qFj1YRCarYFlWMgRe2yQnOvv2NJd1hm/smEvYBgGaTGFoh9WtJf50D7euFAFBa7n\nwnDId45u2By7RvOhtyrouU6QSXptXJidVrPheh5E3zFC3RMcy2EmfQCr1XVolo6dWh5fX/4WBuUc\nHpy4P/bxqG3SZshxK1QMbBZ0TA2rLUlmJ1suRU7KwnJt1FwdyYSAgq+sUVvufbMjgf03as81LAeO\n60H0rccJPoGcRHouG625NKhoKjmBg35l1WIksIhhgMsrrRXRim4BjIOyXbrhaihArjOUDO+GiN45\ndAdkTsaTa88G18N8TEBOHGReRlJQse2PmgTJuRvhNcrzPOTLtcCWC5BrSDYlBddbzbDhAYGjaTfX\nlDhrK91YGMkp+On3ncT//cF7MHsgB8/zdp2YS5GTsigYxaaU20bcdiAXKKKdrNMz6QPw4AVzy47r\noGSWm5RpnuWRFFQUzDA1V+un5vbRRx/XGjXfmlvVrWDm4VZBVbegKnywkBnK1FtzG61fqixAlfnA\nmkvVYlbwZztjwoooJpJjuG/sDJYrq3hu40UA9UTUcV1oNRuphBiQvriZ025wNHsYjudgvhQqDutV\nYhXrdj6UIt0QWERRtXQkeKVuERjMW/k7tuF86N6CiigyUgplqwLd1vtEtI9dgZIhWuFCLezXaj70\nVoXqjyHwIrkmxFn0qIrH+46R6Ebd4ewMPHi4UlrAZ658Ebbn4N2HHmm5QKdqleUREnFltQQP7edD\nw6Ci+MRcipxcH1hUqhp1ttyhrBIEwETtudRRI4j09SngWA5D8kCTNZcGFU0mxzGVmgQDJlj4yyKP\nyaEkFtbKsJ14glHRLDDS6yMxFyCkjqqiu1FnRU7AmZFTyBuFICysYBSh8omu7m9IGcR2LQ/Xc8Pk\n3K3wGqUZNkzLRS5ZT8JySRElzYLtuEE2gyjSjZLeU9inkxPgGC5QtwHg0Hga//mn3oTf/Fdnce/x\nkeAaWTRLu07MDZ6/nIHruSiZ7TM73nX2AI7PkHGWTu9nI5kuWxW4nhu7IZCVMn5qLsmnaDcffq3Q\nJ6J99PEGQ5R80lnGWwUV3UJSDucMcykJHMsENuQwDCOcQRrOKtgs1OB6XvDeMDxZcKlie+L47kPv\nAMuw+MfLX4DjOshGwjGqNbI7m1KECBFtvchqB5r+eTEyJ7qxSyJKyXW54cKnWVrThTuaqgeQCxsD\nBgf3iYimxTRcz4Xl2nuqbunjjQs1qHAh3/GLhctQeBmTyVuj4/N6gZJKugkXtyClATssT4laeB49\nnCEuiW+tPo3HV5/GmDqK+8bOtHw8mppbs2uQBC7ob243H7rkq5CtqlsocpEQmGxShG44ePzcemDL\nBYBxn/BG01BpxgAn1hPtocQgKlYVuh2qp2EtzTgUXsZIYjiotgKIimbabmwNCQAUNROsTB6bzqHe\naFCishtFFADO+p3MT/ihRQWjWJfS2g5DygAcz0G+VsBITgHPscH1GogEFaVlbOnb+I3HfxuXtueD\nzd9S1QxS82k37W6uKQInYDgxhLXqel3+w3CWPKcoVisksGhPRDRIeW4/J8pzLDy/R7RTsF5IRK/6\n9+2HRsUci4yUhumYYAW/P71vze2jjz6uNag1FwgLom8FuB6ZD6FD9wAJ4xlISzGKaEgIR3IKbMdF\noWwEiqjnJzm2CiuiGFIG8eaJs9jQt/DE2jPI+rahQtkIO0QTwj4ookTduZQP50TXK4SI9m7NpUQ0\n3G32PA9VW2sKPQqVBWIdWigvYVQd2Tf1Mhqh31dE+9gNaOiN5s/sbenbOJKZuelCl240KOmidSrx\niqhv26MbdZHz2aH0QTBg8NzGi/Dg4T2Hv7PtMaCbXpqtQ5HCtPD2iugKFF7uWFcVJucWg67kLz1D\nFK77ZkfqHmcjYs2lRIYR6utpwsCi0J67XFkBz/JBqu6B1BRqTg2bGjkvH2kzJ6rVbMyvlpAdJO/x\nUOLGK6JAuPG423nVI9lDGJBzeG7zRRSNEmqO0dGWS0FV4U19GxzLYmIogZWtKlyXkMGAiCZFvLpz\nEWvaBl5cPx8GBFaMsJvV76ZtnBHtFmOJEdQcoy6kLw6rGiWivSfmUuRiknMLRhEfv/gpbDR0gZqO\nCZEVOp7bBuQsUmIyUETjEnMpaGCR7lbAMkywGXM90T9T99HHGwxRIrpzCxFR3Z8PoUFFFEMZBcWK\nCdNysLRVBcswGB+sV0QBkpyr+4qoy5H3pRMRBYC3H3grAOCV7VeRkHgIPItCxSB9eyAdolW/6LtV\n+FEnqEICE+oYrpQWgkLujSpZFHXbIUqR8slf2QqJqOEYQV1BFElBBcdwKBhFrFbXYTrmvtlygTA5\nF0A/rKiPXYFunlRtLdiouVb9obcy6LnOi9SpNKLs9yLT20Q3rhKCEihDB1JTuGvojraPRzeeNFuD\nIoWbh0FnYgNqtoENbRNTyYmOIVQ5P9F7x8gj4xOV9bwe2HIBkqjOc0yDIuo7Yrj6jICAJPlzoo7r\nYLW6jgl1NKjcOkgDi8qNgUXNZOb5S5uwHQ9Dw45//68TRVSmimhv9S0ULMPi/rG7YTgmvrr0TQCd\nE3MpaHIunROdHErCst1gbCasbpEDha+gl0IXUtkMiCj847drIuoTy2gCcBxCRbT3xFyKqI0cAK4U\nF/Hhp34fX7r6dXzmyqN1tzUcs6tjwzAMZtIHgnDBQptZ3Yz/s5JZRkLm+4poH330ce1BZ0SB+v6t\nmx10N1uV64kojXjfLtWwvFnF6IASpO4BkcCivB4oog5Tg8gKXe0MD8gkzKJkVkh4QlJEoRJRRBUR\nZV8RVbsgtq1wLHcYlmsHsysbviI60KMiGs6Ihtbcakx1C0AWFmSGpLhv/aH1zyWsYOgron3sBlRZ\n0y09DCrK9Ylor6Cky2XJNSFOGan45zQbBhgwTVb+Y7kjAEi9VSeyyDIsFF6GZulI+ER0KCPXkdIo\n5kuL8OB1nA8FwgV3oVYMukQBBLZcAOBYBiO5BNbzYeJyxX/N9D2gRDtU68g5d137/9l77zDJ8rO+\n93ti5dTV1bmne3pCTZ7NUVqtrJWEBJIRICQjkmRfgjEXG6QHMJcgML4CfLG5Bj1gG12DESCCkFay\nxKKw0mrz7uzu7MzOTO/MdJie6dxdOZ14/zjnd6qqqzpU6unwfp5nn+2pcM7pru5zzvf3fd/vuwTN\n1DHoL4cmMSHKAov6oz64ZaHuCJeXr1hOl+gt2ttv7BzeKfrshYStupj1uM8uz2VCdLPEXEa3pzqd\neKinOjm3coboii2sEsVUuQopW3LuAUyeOdrNO6LAFoRobgE8xyPWRGIuozKH4YW5c/gvr/4x0koW\nMi/h8up4VYhRSVe27FYfZOW5qRuOI1qvNLc8wiUFHwlRgiC2g73qiLLVbJ+n+kYmZgvRN2eSKJS0\nmtKvHuaIpgoo2i6AitKW3Uue4+GXfI6wC/tdSOUUpCsd0RZLc4Gyy8OCIBZzywjJAcgNzt50HNGK\n0ty8Zo9uqTOPNOwKIVVKOzMCD7ZViJZ/xh6BhCjROMz1yGl5XEtOQhbkTXsIiVrYz1GDdU0obFCa\nq8JKuV5bIvi+sXfj43f/GxzvOrrlfVqludY5ez03FIATCHe6+8Sm2w25guA5HolS0inNBcpluYze\niAeFkuZ8X0zIaPZIGac01xYazBFlvaqVfchD/oGqwCKe53CwP4i5lXxVEmm+qOHi5AqGYj6ktQQC\nsn/HVIPc1XMGP3/Xv8bJ6LGmt9HrjWE0eABF3Z75uWVH1BLjy84IFzs51+4TZTNEIwEXEiVrdmey\nmK4KCMzav7NsJFCzuQPMEV3Iry9EKxNzN+vZ3Ag2j/uFuXP488ufg8SL+NdnP4a7es8iq+acgC7A\nKs3dav9uZZ/oxqW5LAciDa9bovEtBEF0nmKFEE2k95AQXccRZcm5569VzyhjsFmilY6oYhYaEo1B\nOeCE/4T9LpgmMLtsXUADHgkZpbWwIqDcJ3o1OQHd0LGcTyDaRNpisE6PKJshWm8FOeIOwYSJiyuX\nIfNSS8EMa2FzzAByRInmYE7eQm4J8/lFHAqNOuWSxNYReAEe0QMV1g3/RqW5JaNYd7SVR3TjYGjr\nC1VMiLptITrUU//8qBs6Xlu6iIDs31IaMs/xCMlBrBaTjlCpLMtl9HbZvzsJ6/zHbsJVlOxRVtZ7\no+4IOHCOIzqbnbeOt0KIyoKMfl8vZtYEFgHA5Fy5+oSV5d4dt1Jid0pZLmD93A6FR1uev8tCi4Ct\nC9GQHITES1gustJcOznXcUSt371IwFUuzS1WluaWHVG2mNLsNaXHGwOwsSPajsRcwCqJF3kRea2A\nXm8Mn7jnZ3EiGseJrjgA4NLKm85rSw0I0QPBIXDgMJW+gWQxBZ7jnXyISkJy9SxRTTegqLWjmzoJ\nCVGC2GcUFR0elwhZ5JHYQ6W5rKyqpkc0bF2MLk1VzyhjhP0uiAJn9YiWNIDXoUNrqIw2IPtR0hWU\ndMW58ZlZtC6g/kpHVG6+NDcoB9DrjWEiNYWV4ioM00C0wbJcwLphcglyVWkuSxxdW5oLlFdRc2oe\nB4JDbb3JryzNdVNqLtEE7Hf24splADS2pRV8khclwxai6zqiJvJavu65olG8kheKrsDtsoTP4DqJ\nuVeTE8iqOdwZO73lEKqIO4xUKY3BHg+ODoXw3Q+O1rym116EZH2iTMgoRgE+0esIMpEX0eWOOGWj\n9RxRwLr5VwzVETBj/bWBRaws99CYDBOmE3a0l7ir9ywEzrpObLU0l+M4dHu6sFxYgWmaiARc8LrE\nKkfULQtwybzj8CWLaacHOFkRVqSaJbiFWsd+q7gEGV3uCOY3cETL/aHNBxUB1vd9X+9duLvnLD5x\nz79Bry2Cj3UdAQcOl1bHAViLMbqpb7k01yO60efrwXTmJlaLqwi7QnV/HpWOKAt63G5XlIQoQewz\nSqoGtywgGvbsqfEtbAZcZWouUHZEFc1apV57s8PzHLpDHscRZaNbGnEvg065a8YZuM16WwIea46o\nxEtNx+IzDofHUNIVvLZ0EUDjQUWMgByo64iuV5rLaGd/qHUcPnCwbvbIESWagZWUsmRqCipqHp/k\nRdEoADDXGd+iQHaZ0E29riPaKOyz64laIW+HB+q7Z6ws986eM1vedsRlVXIoZgG/9MN3466jMec5\n3dAxnbyJPtsRZcm57Aa8qBdqvr+YJ4q0kkFRK+FWdg4RV7hGjI8EqvtEmSN63Q4sqizLhWz9vsZ2\nSGJuO/FLPtzTewf8kg9ddcpB16Pb04WCVkROy4PjOAzFfFhI5KGoOhKZEiIBF1KltOM4l7QSTE6D\n1yUimS2HFRX1YsvXkz5vD9JKBnm1UPf5cmJu6xVCHzn+A/jYqY9UlRL7JC9GgwcwmZpGXs2jpFv3\nJY0kGo8GD0DRFaSUzLrOtE/yQuRFpOzSXGD7Z4mSECWIfUZJ0S0hGnIjk1PWHbi928it44iG/DJE\nwRI7ssQ74USV9EQ8yBU1q2eWCdFNZohWwoRoWsk6pUJsLh4b37KVBN7NOGLfZD8/dw5A4zNEGUHZ\nj6yacy7oeac0t44j6u6cEK0sFyIhSjRDZTKmxIttm3G7H/FJXuimDvD6uo6ozz6N+cTWz2esFeDu\nkxH8l599S03pLNB4WS6D9d5VjsVgfP3Gt/GJJ34busty1iodUQ4m8lqh5lzI+kQn09NIK5m6c2oP\nsORcu0805HchGnRjYjYN0zSdstx7jvU47mqsifaK3cAPHft+fPLBX4TUQIYBCyxifaKDMT9ME5he\nyCBX1Oz+0OrPM61kEA64rLCiogqXLKCgFZsOKmI4ybnruKKsPLuVxNzNOBE9ChMmriSuQTGs+5JG\nFrMr8xzWC6DiOA4hOeiEFQGo6mneDkiIEsQ+o6jqcEkCukMemNg7ybnMEfWv6RHlOQ7RoCVyBrt9\n4Ov0v8Rs13RmMQNOasYRLSfRstJcwBK+LkmwhWjrDgK7EWMhCo3OEGUEJD8M03Cc0BwLK6pz8a52\nRNt/kx+yRTwJUaIZBF6A2w66Gg0eaCk4ZL/DFss4Ua25GTVNE9mCCq/PsF/bDkfU2kahIrBoLc2U\n5QLlhNDVYq0Qvbxq9d1ljBW4JAELthDNFlV4vIAJs64jCgCvLV4AUN0fyhj0D0DgBMcRBSxXNFtQ\nsZQqOmW591YJ0b1XmgtY5cyNhjCVhShro7F+Hy9OWP+OBFzO58muF9Y1V0auqCGZKcHnFlHUi02P\nbmGw5NyFdfpEJ1LTcAmyU0rbCU5ErT7RyyvjKGnWfVojQnS0ol+7XmKu85wriLSSgVu2/r6oNJcg\niI5hGCYU1XAcUQB7pjzXcUTdtTc03SEmROuLy1iECdGsM9C9kRutQEVpLouTB6ygIkVXoehK0zNE\nK4m4w1Xis/nS3OrAIlZ+5K1Tmst6fEJycMv9Po0QtAOLSIgSzcIWUKgstzWY+BJdWk15XknVoWoG\n3F5LiLbqOAFlN5tVZNSjmbJcoNzbnlgjRHVDx3R6xnqulEJvxGrLMEwTuYIKr88a5bK2TaHHdkTP\nL70BABgMDGAtEi9iwN+Hm9lZ6IZVEcPKc9+YXHXKcvujPif4qHuPOqLNEKvjiALAhQnr35GAG6tF\nKzF3JGAtilYu/qYrHPtWhWjvBo5oVs1hIb+Ig8GRjgajHQgMwS/5cGn1TZSMxktz+329zuvrJeYy\nQq4gTJjgXfYMYXJECYLoFCU7Dc0lCYjaLmArQjSVU/DCpQUY9hy224mTmuupLQViJV9rE3MZbISL\nohrl0twGSmmd0txSpmpcgN8jO0FF7eipAso32yIvVqXONsLaES7sRrDeMfolHw6FDuL+/rub2tdm\nnIwew3BgcMMLJUFsBLvpPEJCtCVYua3bU1uay0acyG7rGtLKTGSGxxazLCxtLc2W5QLWfGcATrAN\n42Z2FophfS+JYgK9XV4ommGlrhY1uL3W97dWaDORlFGtc2a90lzAEg+aoWE2Z/UQMiH65WennLJc\nwHLaApK/LYJ+r8AWWZccIWr9jk3PW8F6lYm5rDpnbRUS+/yaHd3C2GiW6GRqGgAwFhppaR+bwXM8\njnUdsed4W4snLn7rQpTneKdveaPZsE7Vk7h+UFknISFKEPsINp7EJQtOmmwrQvQrz03jTx5/A89d\nnG/L8bVCrqiB5zi45doVygO9lvA6NFT/ZMwcUQDlsKIGHEzmMKbVLDwu0TmGgN0fCljlsO3gcMS6\n2Y55u5pOBSyPcLEu8DktDw5cXVeS53j8/N0/jX9+6D1NHvHGvG3oIfzSvT/XUC8RQVTS443BK3oa\nGh1C1MIWomSPXuOIMiEqurSq17aC44iuI0SbLcsF1ndEJ2wRAVhlu71d5WoYVTMgu+oL7ai7ywlW\nk3lp3d7OcmCRJRxGegMQeM65zt57rAdFrYiVYgL9/s71F+5GujzWz5g5oj63hEjABbbMXVmay3rB\nM6WMk8sAAG639epWBb5f9sEv+eo6ohOOEB1taR9bgY1xeXXJKgl3Ca6NXl5DPGKl724UqsQWtHXB\n+jvcbiFKzRQEsY9gjqhbFtviiM6uWCLri09P4v4TvRCF27e2lSuq8HnEujPQHjnbj2MHwuiP1l/F\nj4XKAkyQGy/NDbpsh7FUniU6v5q3gooU5oi27iAAZdenL9B8bwpzRNNquTS33oB6gtgN/Itj34ei\nVmqobI2ohYlLSdaQLGowTdM5n2by1gIdL6qA1iYhaouFwjrJpM2W5QLW8Um8WBNuM5GaAmAtsK2W\nkrgjYn0fLNlWdBzfaiEjCRLCrhASpSQG/P3rnisrA4seHrgfsiRgqMeP6fmMU5bLHLXBDgbd7EYk\nXkTYFXJ6RAFr3Bq7R4n4XUisJuEWXE7pbFrJoL/CEZXczBFtvdWj19uDidQUVF2tWiidSE2BA1fV\ng9kpjkePAgCuJq4DaKw0FwDeNfIo7uo9s2EvK3NEFa56nu52QXcdBLGPKClMiLanR5SFPCyninjq\n/GzrB9gCuYIKn7u+qybw/LoiFABkSXBWVZkQbUQ4ekUPeI5H2i51Zdtio1uAxlJ4N6Lb04WPnvgX\n+MiZDzS9jbU9ojm1PXMBCeJ24BE9Helf3m8wcSnIGnQ7T4DBHFHYPfT1Rj01ykaOaCtluYCVBhpx\nh6scUdM0MZGaRkDyYzjYj0QxgR67GmbSnvUpSMzxrT3/s+Tc9cpyAasvT+AE3MyUr4esPJeV5bLE\n1QFyRGuIeaJIldJQdev3rHLcWiTowmoxgYg77ITcpdfkMohSe0pzASs514SJRbufFwA0Q8N0egYD\n/r5tyTUIygEMBwZh2r5wo0JU4IVNA5WYEC2Z1r0K9YgSBNExiop1kXVJAsIBN3iOa1qIqpqBlXQR\nA90+uCQBX3pmynFctxvTNJEravB5mi/yYH2ivKSCA9fQij/P8QhIfqTtUld2YfRXlOY2ksK7Gff0\n3YkD4cGm31+Z8gsAeS3flhtLgiB2L0x8cZJ1I8rmMgJApmA5ogZfsl/bvtTcerMaWynLZURcYWTV\nHBRb1KwWk0iWUhgLj6Lb14WSriAUsrY9MWedC3n7e68XdsPKcesl5jJEO7DoVm7OCSx65MwATo11\n4ZGzVsDRbK7zoz92Kz2+GEyYTkksy3UQBQ6ipKGgFdHljsAluOASZKSVDCIVjihvLyS0GlYEAH22\ngKvsE53JzEI1tG0py2WctMtzgcZSc7cKy7goGta9CjmiBEF0jGKFIyrwHEJ+uWkhupQswDSt1d53\n3juEVE7BN8/d3PyNHaCo6NANc11HdCs4faKiCq/kafjmJ+gKIKNkYJqmE54Q8FQK0Z0j9CrDihRd\ngWpoFJpBEPscdo6S3daN6F/807gzZzprO6I610YhukFYUStluQzWJ5q0y3Mn7bLcsdAIur1WME4J\nWfjcIgqsJ1ZgFTG13188cggiJ+Bo5PCG+x32D0AzNEdMjfQF8PM/eIdzXSjPoFy/b2+/wkT+zeyc\n9W87OTfsdyFZssqnI+4wOI5D2B1EWskiVNEjyou2EG3D9azX/nwq+0Qrf4e2i+PRTgtR62ec13Pg\ngJr+8E5DQpQg9hFOaq4dptNlD4JuJvWWleX2dXnxXfcdgNcl4ivPT297oztQObrFEqKmacJs8HuK\n2Y6oKZSaci8Dsh+KoaKkl9DXZd3EdIfdFaW57XNEW8UtuCDxIjJKxpkl2q5UX4IgdifMEQ2FOJw8\n2IXz11fwZ1+9AsM0ndJcxSxB4ISGQ1PqwUob81r1+BbTNHFh+TL8kq+pslwGK9dOFK2y2+sVITNM\niLLkXMZGju/dvXfgPz/62+iz+xPXYyhgVatUlucyTNPEbG4e3e4uuMXWf4Z7jUG/5Rrfylo/u/6o\nFy5ZQF/U64xu6bIXGCwhmgHPW8GAAJyFhLaU5taZJcp+hw5toyN6MHjA+VvpRB+8S3BB5iVklAzc\nLpFKcwmC6ByVjihglZDqholMTml4WwsJaxW7N+KB1y3hPQ8cQK6o4YkXb7TvgLdIrmD39XhE5NQ8\nfvE7n8Q3Z77T0Das0lwTBq805V46I1yULB461YePf/gOnBztcsKKGhkH02k4joNf8iOtZB03ot4M\nUYIg9g+yIEHiJeS1PH7mA6dwsD+IZy7O42+fvOaEFZWMAnySt24oXKPwHA+P6K4pzU2UkkgpaRwO\nH2wpQC3iDjnbA6yQGZEXMRwYRMxnCdHVUhK9kfK5T+es73O98+FWjmfYFqIz2Vs1z2XULLJqjhJz\n12HA1wcOHG5lLEdUEgX8yg/fjY++57iTmOvMtvYEYZgGcmrecZsNnn1+rQvRiDsEmZccR9TqMZ5C\nSA6gyx1peftbReAFxCNHAFiLyO2G4zgE5ADSilUdQKW5BEF0DBZW5JKsXsqI3cuYyDZenjtvO6Js\nNfmxu4cR9Mn4p5dmkG5C2LZC1l7B87slzOUWkNPyGE9ca2gbsYjHCuLgzKZEY7Ci3FUUeJwY7QLH\ncc4c0XZcGNtJUA4gq2Qr5pzurOMjCGL78Ule5NQ83LKIf/vBM+iPevHEizN4YyoBgeeQ1wptDTbz\nip6a0typtDX6ZDTYWipp5QiXolbErewcRgJDkHixwhEtj3ABABVFiJzQUgnkoL8fHDjMZGqFKCvL\npcTc+rhFF7o9XbiVnXOqmoZ6/NYMUXtBgYnAsNsKgaqcJcZYI7wAACAASURBVOosJLThesZzPHp9\nPVjML8EwDawUE0grGYyFRtuyENMI7xt7N75r9B0YCgx0ZPtBOYCMmoXHLdAcUYIgOkdRrXZEHSGa\nrhWiFydXcGU6se62FhOWEGUhPy5ZwPseGkVJ1fG/n5te932dIGeHavg8ElL2APOliqS7rTAc8+PQ\nsFX+4pebF6IsAIiRUXPwiV4IfO1809tJQPZDM3UsF6zPmFJzCYJgQhQAAl4ZP/+DdyAScEHTDfi8\nIgpaoa3BZnWFaMqqqmlViHax0txSElPpGZgwnZAZJkRXiwmnlQIAFKMIb4uOr0uQ0euN4WZmDoZp\nVD03a/c+UmLu+gz6B5DT8kja13KGU5rrZqW5luOdVjK491gPTo5GoMMSou0ozQWAXm8MqqFhtZhw\nRv9sZ38oo8/Xg/eNvbtjI9aCsh+GacDjMVFSdac3fDsgIUoQ+wjHEV0rRNc4oqpm4I8+fxF/8vgb\n6/Zazq/mEQ26IEtlgfXI2QFEAi48fWF2W09krJTE5xadQIOVQsJJLdwKsiTgw+8etbbThCNaHolS\nLURzSg6+No1uaScsoGA+vwCgPeMYCILY3fgkH4p6CZphnVOjITd+4UN3wO+R0NctwYTZ1uA1j+SF\noitV5+rJ9A3wHO/M5GyWsKvcI3p9jYgIu4PgOd5yRCtKc4u2EG2VocAAinqxaiYmAMzmrPPtwAbJ\nu/sdFlh0yxbtjNViEjzHIyRbTqjjiJYyeMuZfvzCh+9EUS9C4ATIfPPBhZX0ee3AotwiJliPcXi0\nLdveSQTsWeiS21rU387AIhKiBLGPYONb3BILK6o/S/TqzSRKqo5UTqmbqltUNCSzSlXIAwBIIo87\nj3SjUNIxYQ8I3w4qHVG2iqqbOhJrVlQ3I6taczUDLZTmVjqihmkgp+XbOrqlXbDkXBbEQKm5BEGw\nkJ5cRd/mQLcPn/rJB/DD7zlY9Zp2sHaWqG7omMncRL+vt+WEULfogkf0YLWUxGRFUBEA8DyPiCuM\n1WLSmSUKmG1zfFmf6M1sdWDRbHYeAiegx9Pd8j72KoNrknMZiWISITnoVBdVluYy8loBHtHdttJZ\nFkw1n1/ERGoKEi9h2N/86LSdStC+RxHdlqO8neW5JEQJYh+x1hFl8y5X15TmXpwor+JOzVc7fACw\n6AQV1V6wT41Zs9YuTKy04Yi3BkvN9XskpEplAdxoeW7W6ZdsRoiy2ZxZ57GCVoRhGjsqqIjBHFw2\nI41ScwmCKAvRXNXjXrcEFUXr604IUbsc+FZuDqqhtVyWy4i4QkgUE5hM3UCPt7uq7aLLHUZayUCS\ngJBPhttjwoTZlnMhEyuVfaKGaWAuN48+X8+Oa9XYSQw6jmhZxOuGjmQp5ZTlAusL0XYuqjIhOpW6\ngdnsPEaCQ3vyswvajigvW/dSuW1MziUhShD7iJoeUXv+VnJNae6FybKInJqvdTadxNyu2gv2sQNh\niAK3vUK0UFmaW3ZBl/LrH8MLc+fw1clvVJUeOwm3beoR3YkzRBlMOK/YfTeUmksQBFs0WytErcfa\nP+rJEb62IzqVak9QEaPLHUZJV1DUi44byoi4wzBhIllK4QOPjOGxB3qrjqkVWKhMpRBdKSSgGCoG\nKKhoQ7rcEXhEd1VpbkpJw4TpJOYCQNhTLURN00RBLbStPxQAYp4oeI7HheVLVT3Gew1WIQXRWmwq\nNOmI3lrO4X9+9TKyha0LWRKiBLGPKK0Z3yKJAvweCasV5ber6SJuLeUwNmCd5Kfmah1RJzE3UnvC\nd8sijgyFcWMhi1QTabzN4MwRbcAR/dLEE/jy5BN4ffmS81hZODYuRD2iByInIFPhiJaF7c4tzTVh\nCXFyRAmCKDui+ZrnOiFE1zqiU2krqOhgqD1CNFwhXNbOfmTzKFeLSTxydgB3HbfCb9rhqPkkL7rc\nEdzMzDqLnbM5O6iIhOiGcByHAV8/FvPLUHSrVJSNbqkcmxJylUemAYBqaNBMva0J9SIvotvTBc20\n7p22c37odsIWpg3BumdrdoTLt169hafOz+HLz05t+T1bEqLxePxMPB6/Ho/Hf8b+93A8Hv9WPB5/\nKh6Pfy4ej8v24x+Jx+MvxuPx5+Px+Mea+SYIgugcRVUHz3FQTcW5OHYFXEhmSs6/L05aZbn3n+hF\nT9iDqflMTWDRoi1E++o4ogBw2i7PZdtqllS2hFtL2ar/VtPFmtflCio4WAI7qaQRdVuJiEuF+o5o\nQSs4UfB/++YXUbIvduxGqxkhWp7FVeuI7kSRF1wjjnfaeBmCILYf1h9ZV4hqTIi2r9XAI1X3iE6l\nZ+AW3Oj1xtqyfTbCBahNO2WiJmGLHNYX267gtuHAIDJqFinFWhxlo1soMXdzhgL9MGFizg53WpuY\nCwCSIMEnep1rbt7+/Wz3tYwFFgHAwduQmLsdsIoujbP+BvJNlubeXLQWBb75yq2692r12FSIxuNx\nL4D/B8ATANjd6G8C+K/j4+OPALgG4GPxeNwH4FcBvAPAowD+XTwe376JrwRBbEqxpMPlL+IXn/4k\nvjnxDAArObek6ijYKWmspPb0WBSj/QFkCyqWU9UnlPlEHjzHIRpy193P6TFLCLYiRBcTeXz808/i\nV//0xar/PvHpZ2vKhXNFDV63iIJegGZoGPD3wSN6sJSv74iyi5tHdCNRSuKrk18HYA0bB5p3MAOy\nHxmlLNxzLTisnabye3QL7j3Z90IQRGNsyRFt441+ZVhRXs1jIb+IkeBQ28ZUMOHiE73oWSNuWZkn\nEzm5Ni8cDvury3NncyREt0o5sMjqE2WLBZULC4CV9popWUK0oFn3KR6x/n1Js7A+0T5vz45cVG4H\nrEJKhSVEm3FETdPEzGIWHAdouoHHn5na0vu28pdeAvA9ABYqHnsbgMftr78E4DEA9wF4aXx8PDM+\nPl4E8AyAh7d4/ARBbAMlVYPkz8MwDVxaugqgPMJlNVOCphu4NLWK7pAbvREPRvvs8tw1gUULqwXE\nwm6IQv1TyEC3D5GAC29MrsIw6o9/2Yxz40vQDRNnDkXx9rsG8fa7BnHPsR6YAJ67uFD12mxRrSrL\nDbtCiHmiWC6s1MxxA4Bb9sr0+8e+C13uCL4x8xTmcgvIKXlIvNh09HtQ9kM1NBR164LolObuQCHq\nFT3OzZ6PEnMJgkDZ7cxqG/WItu98xspgC2oB0+mbANrXHwpYYUWA5WStFbdd7nJpLgDkbUe0XWFM\nTnJuxhJTs9l5uAV3jZgiahmyRTzrE10t1ZbmApaTl9PyUA0NBa29nx+jz2sJ0b3aHwpYs29dgoyi\naf3dNzO+ZTVdQr6k4c4jMfRHvXj69TksrNYuaK1lUyE6Pj6uj4+Pr2308o2PjzPfdglAP4A++2vG\nov04QRA7hJKiQ5SsXofZjCXmmBBNZkqYmE2jUNJxeiwKjuMw2metkk3NlR3IXFFFtqDWDSpicByH\n02NdyBbUuqm7W+HVa8vgOOBj330cP/KuOH7kXXH8xPtOwOsS8fL4IgzbdTRNE7mCBp+7PLol7Aoi\n5olCM/WaodhAuURqJDiMDx55PwzTwOfG/wFZNQuf5Gs6+r0cWGQ5q07PaRPhR52G53gE7Mj2dl+4\nCYLYnWzkiOY72SOqFZz+0NHgcNu2PxIcxsnoMTwy9FDNcxFWmltipbntDZerDCxSDQ2LhWUM+Hvb\nNlpkL9Pv6wMHDjczthC1XevKsCKg3GKSVbLOQkK7HdET0TiOhg/h4cH72rrdnUZADqCgW3/jzZTm\nzthluSO9fnzgrWMwTBNfeHpy0/eJDe+plvX+ojb9S4vFAm3YPXG7oM9v91HSDHg9BgqwhGh3tx8H\nBqwVYxUcbi5YJ5KH7xhELBaAL+AG8CpureSdzztxw7ogjA6GNvwdeOiOITx1fg4T8xncf7axuVup\nbAnXb6VwfLQLh0aiVc89eKYf33hpBqs5DccPdqGoaNB0A5GQG4Zs9XoOd/dCcvM4t3geqpxHLFa9\nwr50YQkcOJweOQyXKOPcyqt4efZ1AMDB8HDTv9u9c1FgDhC8OmKxANQJaw1vpLcXMX/7/15a/Rvs\n8oaQUtIIewP093wboJ/57mYvfn4exfInVK5U8/0pnH0+6++BJDRXNbIW3WOVyxqChtmi5RzePXYC\nYXf7fra/3vdzdR8f6osiIPuQVtOIxQIwZiwXaDAWQyzS+v67TT9CrgBm83NQ5BwM08BY94E9+XvT\nCQYCvZjLz6O724+MmoZP8uBAf3V5dV8oCiwAvFeHaK2xozcSaevPOIYA/sPgx9u2vZ1K1BfG1ZVJ\nACY0s/Hz2+pr1t/vqSM9uPdEL/7p5Rm8cGkBH3nPcWzU8d2sEM3G43GX7ZQOApi1/6ssfB8C8NxG\nG1laas4pIW4/sViAPr9dhmGYVmoub610FdQirt+ac04CM7MpvHptGQLPYSDidj7fvi4vrs4ksbCY\nBs9xuHLd6rsMusUNfweGIm7wHIcXLs7hsbsaE6JPvz4H0wROjXbV7OP0aATfeGkGX3t+Ct1+yWmI\nl3kOM8uWy8srMnymdRK9OjeDXr68f9M0cSNxCzFPFOlECUAJ7x95L87PX4ZqqHBx7qZ/t0XNcpdv\nLC6iG31YyVhubCljYqnQ3r+XdvwNenhr5V8yZfp73mboHLq72aufn2Ea4DkeiVy65vtL5tKQBRnJ\n1SKArQWRbEZRtVonVrNpTKSmEHVHoGY4LGU6+7Nln19YDmE+t4TFxTRW0tb5WsmaWNLas/9B3wAu\nrY7jxckLAICIUHtNI+rT5+nFrcw8xmduYDG3gm5PtOpnF4sFIBmW+3ljccEZRaYVOPoZN4GH81it\nTKKCRKrY8M/wij32L+gSsLycxfsfGsXv/815fOaLF/FbP71+p2Yj3eAcyi7n1wH8gP319wP4KoAX\nANwbj8dD8XjcD+AhAN9p6LsgCKJjlOwZorxYrv1fzC8ibJfmTi9kMD2fwdHhMNxyeY1qtD+AQknD\nkj07dCFhj27ZoDQXsAagHx4MYmIu3dBMKQB47Zoldu840l3z3InRrqryXNZUb5XmlntEe7zWe9cm\n56aUNHJaHv0VgRFRTxfeO/oYgNbKaAN2mRBL8cuqOYicAJfganqbnYQdL5XmEgQBWCX7XtFTtzQ3\nq+bblijLYGWUNzI3kVVzbe0P3QoRdwSqoSKn5jsynoaV5744/woAYJBGt2yZATuw6GpyAiVdqdtb\n67TDlDIoqNbiSDvG7+xH2M/S5dGckXiNMLOYhdcloito3e+cPNiFo8Nh535uPbaSmvtAPB6/AOCn\nAfz7eDz+OoBPAvixeDz+FIAwgD+zA4p+CVa67tcA/Mb4+DgtSRDEDqFozxCFUD7BzOeX0GUL0dev\nW4LtlJ14y2CBRZN2nyibIdoX2fxifWosCtMELk1tPT1XUXVcnFxBX5e37ngYUeBx59FuJDIlTNxK\nI1dgM0RFpOx+0JAcRMxTX4g6Efprbgj+2YG34p0HHsWjQ81nrLETOUvxyyo5+GX/ju0JYsfb7ptL\ngiB2Lz7Jt+74lnb1TzJ4jodHdDu9/O3sD90KTnJuKYGclofIi5CaDKurBwssupGxgpj6KTF3ywzZ\nQvTC8mUAtUFFQGUuQ6Zj41v2C2xh2uXTkG8wNbek6FhMFDDcU77f4TgO3/fI2Kbv3bQ0d3x8/HkA\np+s89a46r/17AH+/6V4Jgth2mCMKodIRXYLHJcItC45QPX2wuifTCSyaz+CBk31YSBQgiTwiwc1d\nvtNjUXz+qQlcmFjBfcd7N309AFyeTkBRjbpuKOPeYz145sI8XrqyiKPDVo8rc0RlXnJW2d2Cq2aE\ny3oR+iIv4nsPv3dLx7geQccRtXptc2oOUU/XRm+5rZQdUbpwEwRh4ZO8WMwvOWW6AKAaGhRdaWti\nLsMrepzRG6Oh7XVEK5Nz87bj286Fw2F/uS0kJAd2ZIL6ToWNcLm8Og6geoYogwnRlJKBZlj3Nu0O\nK9ovsBEusltDPtGYEL25lIUJYLinevTd0eEwHjm7cW5tewY1EQSx4ynZQtPky47oQt4KumbJuWG/\njMFY9YVypDcAjrOSc03TxMJqHj0RD/gtXKyHe/0IeiVcnFh1ZmtuhlOWe3h9IVpZnpupckTTCLtC\n4DgOHMch5oliqbBStW/miHaiRCroKq/OWmNcSk4y7U6EXehZPD1BEIRP8sKEiaJW7gNlibmdWLRi\nDhbP8RjyN5Yn0CrMZUsUk8ip+bbPiYx6InALljBipabE1gi7QvCJXpR0K4RwbWIusNYRtce3UIVP\nU7CfpehSUChpzmQCRq6oIpNX6r53ZslafF8rRAHgx99zfMP9khAliH1CUbFWuAxOgcRLCLr8NUL0\nlD22pRKXLGCg24fphSySWQVFRUfvFspyAYDnOJw8GEUqpzjR3hthmCZeu7YMv0fC4cHQuq+rLM+9\nYJcUu108MmoWIVfQeV23txuqoSKllMfPzObmIfIiuj3Rmu22iltwQ+RFZJRs24ejd4JjXUfwmw/+\nMk5Gj93uQyEIYofAFs8WC+Vqkk7MEGV47HPkkH8AcpvSeLcK6ztcKayioBXbLrR5jsdQwBKga9tB\niI3hOM5ZLAXqO6JeyZqHbfWIdmZ8y36BVXTxsgITQGHNLNHf/9x5/NafvVx3Njy7vxvubXzhnYQo\nQewTWGmuxinwim4MBHqxUliFamiI+C0hemasvjgb7QugpOo4b7uVvV3WxfqVxdfxfz3zH/HfLvw5\nvnPrOSyv6ccEgNOHrNLUZy7Mb3qM0/MZpLIKzh6Oguc3dlzvPWa5eOev2fuUrNECYVdZwMZssbmU\nt15jmAbmcwvo9/ZA4IVNj6dROI5DUA4grWSQVXbuDNFKop7Iju1hJQhi+zkbOwkA+PbNZ53HOrmw\nxhzR7Q4qAsri5lZ2DibMjght1idK/aGNMxioFKK1PaI8xzvX3LxWgEuQO3Jt3w8wR5Sz76Uq+0QT\nmRIm59JYThXx5kyy5r0zi1nwHIcUP4NPPve7uJWd2/J+SYgSxD6B9YBqKMEjejAQ6IUJE8uFFbz1\n7AAePNmH04fWE6KWy/jCJWs8CnNELy5fRqKUxPmli/jr8X/Arz/3O/j1Zz+FJ2eedt579lA3ukNu\nfO3lGTz56q0Nj/HVq6wsd6OpUxasPJeVj2i8tWJf6YiuDSxaKqxANbSOlkgFZD8ySgYZ1VohpJ4g\ngiB2EyeicfT5evHywmtIFK2bzpxd9thZIbq9QUWAdb4WOQE3s9YMRF8Hgm4eHrgfd8ZO40z3ibZv\ne68z6LdSh5ngrEdQ9jtC1ENBRU3DekQNoVaIXplOOF+/NL5Y9T7DNHFzMYu+qBfnly9isbCMvx7/\nvDUKZguQECWIfYIlRE2opmIJ0aAVHrSQX8LR4TD+j/edgEuqv5I42m+doNhKGEuzXS6sggOHX73/\n4/hw/AM4GzuFlJLB49e/Ct2whK/HJeIXPnQHAl4Jf/HEOF66slh3HwDw2tVliAKPkwdrVz7Xwspz\nGSpnCdG6jqhdYsb6Q/t9WwtOaoagHIBm6o4LS0KUIIjdBM/xeGz4ERimgW/OWFP4HEe0A/13Y+FR\nBGQ/4l2H277tzeA5HmF32Okv7IQj2u/rxb86/SM7uk1jp8KScyOukBOctZagHLBacEppSsxtAVmQ\n4Bbc0Hjrb6FyhMulaWvygcBzODe+VFWeu5wqoqjoGO7xY9pOh55ITeP5uZe3tF8SogSxTygpOsDr\nMGHAI7kxELDKhBZzS5u+dzjmh8BzYKee3oh1sl8tJhB2hdDn68FbBx/ET5z+UdzXdxcUQ60qzejt\n8uLnf/AOuGQB/+3xN/BGnXEuS8kCbi5lcWI0UjXHdCNYeS4AFE3LgaxyRL1MiFqicNY+pk46oqzP\nYs5O5/XLOzesiCAIoh739N2JkBzEM7MvIK8WOjJjk/Fg/z341Ft+rWoRcTvpqphPSQniO4s+Xy88\nonvDxWPmlOqmTo5oiwRlP1RYQpQ5oqZp4vJ0Aj63iIdP9yGdU6rKc2cWrHuv/piMhdwi+ny9kAUZ\nX7j2FadFaSNIiBLEPqGo6s7oFo/grnJEN0OWBAx2WyvFbllA0CdDMzQkSylEPdXu5aHQKADgemqq\n6vGRvgB+9vvPgOOAP/z7C85cUsZW0nLXwspzvS4RacWa3Vl5MxOSg5B4yRnhMpuzSosHO9irwy6K\nbExMu+fuEQRBdBqJF/H24begpCt4+tbzHRWit5vKNFaaqbyzkHgRn7jnZ/GR4x9c9zWVJbu0kNAa\nATmAklkAYCBvhxUtJgpYTZdwbCSCe+0xfJXluTOL1r2XO5SDCRMnu+L47oPvRE7L44vXv7rpPrdm\nOxAEsespKTo40Sq18Ege9Pi6wXP8loQoYJXn3ljMojdizVlLFFIwYSLqrp6TeTA0AgCYSE3h7cNv\nqXru+EgEP/n+k/j0Fy7id/7yFYR8svNcOm8d29kGhKgo8PiJ95+Aohq4UPo6ACBc4YiWR7gswzRN\nzObm4BE9CMnB9TbZMqzPYs4WvZ0o9SIIgug0bxm8H/849Q08efNpxCNHAOxNIVoZgrMXv7/dTq93\n48yIgKtCiJIj2hKsoguS6pTmXrL7Q0+MRHDsQBh+j4Rz40v4yGNHwfOck5irSNbrDgSHcGfsNF6Y\nO4dn517EgwP3IhY7te4+yREliH1CUdHA2Y6oV/RA5AXEPFEsblWI2oFFLDF3pWiV165Nsot5oghI\nfkykputu5+54D/7ldx9H2OeCppvOf16XiLee6XdGyWyVM4e6cc+xHqRKlsO6VmTGvN0o6QpWiwks\n5Vcw4OvraEpswD6RMwfBv4PniBIEQayHR/Tg4cH7kVYyeG3pdQCAdw8KtcqxIHvx+9vrVDmiJERb\ngs1C58SSU5p72W6lOjHaBYHncXc8VlWeO7OYhd8jYUmxWp8OBIYg8AI+HP8+AMBfj39+w32SI0oQ\n+4SSUlGaa8/Z6vHGsJBfQlbJbTpm5PhIBKLA4eiwddFeLVqrX1FPtSPKcRzGwqM4v3QRq8VE3cj1\nh07146FT7e3TTJZSCEj+muj2Hjs598LyZZgwO1qWC6Am2Y9KcwmC2K28fegteHLmaaiGBg7cnrzR\nryrNpfP1rqPymkszRFsjINlCVC4hV9RgmCau3EiiK+hCj50Ncs+xHnz7tVm8NL6Ikb4AllNFHB+J\n4EbmJjyi2wmJPBQexYP99+K5uZc23Cc5ogSxTyiqFaW59s0EK3mZz6+fZMvo7fLiD/7Pt+LRO62Z\naCsFa5UsWkdojrHy3ORUy8e9FUzTRKqUrirLZbCT4vmliwCAgY4L0bID6hE9NNOMIIhdS8Qdxr29\ndwKw3Kb1kkt3M5VhRSREdx9VQpR6RFuC3b9wooJ8UcXNxSyyBRXHR8rzxivLc28sWP2h/T0yFvPL\nOBAYqqo4+95D792073rvnVEIgqhLpSPqtVcNmRDdanmuxyWCt08yK8wRrStERwEAE+n65bntpqAV\noRgqQnVSF1ly7rXUJACg37d9jii5oQRB7HbeceARAHtXpEUqrmFeCivadVBpbvtwSnMlqzT30hTr\nDy1XvlWW537zFWs2vCds9YkeCAxVbc8v+/Bzd/3khvskIUoQ+4SiqoMXWWmudbLusYXoVgOLKlkp\nrloz2OqIv+HAIERe3DZHNFlKAcA6jqhVmsuGKw90WIi6BBckXgJAM0QJgtj9DPr78X2HvwfvOfjY\n7T6UjiALEvySDxIvQRak2304RIO4RRdkwQo+pPEtrcEyLniXglxRw2U7qOjYSLXhcI89Oo/NhTfc\nVr/oSHC4ZpuDm4zLox5RgtgnlBQdordaiPa2IkQLCURcobqlpxIv4kBgCJOpaRS1EtxiYwFEjcKC\niuqJ4pArCJEXoRkaIq5wx+PdOY5DUA5gpbi6ad8tQRDEboC5onuVu3rOIK8VbvdhEE0SlANYLqyQ\nI9oizF0WXSoySQWzyzn0R701IZKsPDdbUCHwHJKGJUjXOqJbgRxRgtgnFBUNgqQDKJfm+iUfvKJn\ny6W5DNXQkFLSdYOIGIdCozBhYip9o/mD3iLMEQ3VcUR5jke33Sfa719/KHY7YX0WNLqFIAhi5/Oh\n+Afw0ZM/dLsPg2gSJqBojmhrBOyUf0FWsJwqoqTqVWW5DIHncddRy8joj/owk7kFv+SrSqDeKiRE\nCWKfUFIqSnPtkzXHcej1xrBUWIFu6Fve1nqJuZVUzhPtNCnFHt1SxxEFyoFFg772JvWuB7soBmh0\nC0EQBEF0lIh97ad2mNaQBMmqmJNKzmPHR+sbDvcet8pzB3tFrBRXa4KKtgoJUYLYJxRVHWBCVChH\nnPd4YzBMA8v2XNCtsFpYP6iI4STnrjNPtJ0kndLcWkcUKAvRTifmMgKOI0rBFwRBEATRSb5n7F34\n2MkfqlsVRTRGUPbDECwhynFWGW49ToxE8OPvOYYzZ6y+6gPBxstyARKiBLEvMAwTimqAE1RIvAip\nIpChz2utajVSnrtSZKNb1ndEA7IfPd5uTKZuOEFBrbKQX8LfX/0Silqp6vFyWFF9R/S+vrtxuvsE\nTkaPteU4NoM5orQ6SxAEQRCdpccbw929d9zuw9gTBOUADL4EcAZG+wLwuusHeHEch0fODiBlWPeO\nzfSHAiRECWJfUFKtsltTUOFeM/C5x9d4YNHKFkpzAWAsOIqiXsRcbqGRw12XL008gW/OfAdP3Xy2\n6vFUKQWJF9cNKhgODOCnzvz4tjmUY+FRiLxYN0GOIAiCIAhiJ8IquiAqOF7RH7qQW8TNzGzN62+k\nZwAAI+SIEgSxHkXFEqIGp9aINSc5N1ctRA3TWNfJXCkwR3T90lwAGAu3r080rxZwYfkSAODJm09D\nNTTnuWQpjZAr1FR/Qic43nUUf/Dof9y2UmCCIAiCIIhWCcjlWaKnxywhqhs6/t/X/jv+07k/xGx2\nvur105mbCMoBhOTmyqJJiBLEPsByRE0YnFIzZ6vb4ZRIogAAIABJREFUEwUHznFENUPDkzNP45ef\n/i18+vxn6m5vtZiAwAmb9mMcCo0CAK4nW+8TfXXxdWiGhqAcQFrJ4KX5VwFYJ8iMkm36JEgQBEEQ\nBEGUW4s+9O4DiB+wzIYLK5eRLKWgGho+88ZnoegKACBVyiBZSmEk2FxQEUBClCD2BSVFBzgDJmfA\ns6Y0V+JFRD1dWMgv4tzCefzW8/8Jf3f1cWTVHK6sXkVezddsb7m4iog7DJ7b+BTS443BK3ow2QZH\n9IX5c+DA4SdO/yh4jsfXb3wbhmkgrWRgwlw3qIggCIIgCILYHDZ+LhA0nce+c/M5AMCp6HHM5Rbw\nd1e/BACYydwE0Hx/KEBClCD2BUVFA0QVAOr2UfZ6Y8iqOXzmjc8iUUrh0aGH8bahh2DCxPU1IlLR\nVWSU7KZluYA1w3MsNILl4ipSpUzTx7+UX8H11BSORg7hYGgE9/beiYX8It5YuVKRmFs/qIggCIIg\nCILYHOaIZux7tsX8Mq4kruJw+CD+1akfxqC/H8/MvoBXFl/HNAlRgiC2QknVwQn26JY1jigAHA4f\nBADc1XMGv3r/x/HBo/8cZ7tPAQCuJiaqXrta3Fp/KGPMLs9tpU/0xYVXAAD3990NAHjHgUcAAF+b\n/jZSTmIuOaIEQRAEQRDNwsKK0qolRJ+ZfQEA8NaBByAJEj528iOQeQl/eeXvcNHO7Wh2dAsAiC0e\nL0EQu4CiooOzHdG1PaIA8I7hR/DQwH1V40YOhg5A4ARcS05WvXaribmMQ7bIfW7uJdwRO9VwH4Fp\nmnhx/hXIvISzMUscD/r7cSIax6WVcXS5rRlXIXJECYIgCIIgmoY5oulSBqqh4bm5l+CXfDjbcxoA\n0OfrwQ/GP4C/uPw3uJG5hYgr7LynGcgRJYh9QFHRAdsRrVeaK/BCzcxLWZAxEhzCTPYWilrReXyl\nYAnRri07oiOIRw7jjZUr+PaasStbYTI9jeXCCs7GTsMtupzH33ngbQCAlxas0CIaZE0QBEEQBNE8\nzBHNKFm8uvg6cmoeD/bfC4kve5cP9N2Ne3vvBNCaGwqQECWIfUFJ0cEJtiMq1Zbmrsfh8BgM08BE\nqpx6u+KU5m7NEeU5Hj964kPwSz78w7UvYyZzq4EjB16YOwcAuL//rqrHj4QPVfUlUI8oQRAEQRBE\n84i8CJ/oRVrJ4OlbzwMAHh64v+o1HMfhw/EP4MH+e/H2obe0tD8SogSxDyiqOiCyHtFaR3Q9DofH\nAABXk+U+0XJp7tYcUcASiT964kPQTB2fufjZKod1I1RdxbnF1xGSg4hHDlc9x3EcHrNdUYAcUYIg\nCIIgiFYJyH4sFpZxPTWF411HEfNGa17jFt344eMfxJHIWEv7IiFKEPuAKke0ASF6KDQCnuNxrUKI\nrhYSEDmh4Z6Ak9FjeMfwI1gsLONv3vxizfNZNYeMkq167MLKZRS0Au7ru6vuqJg7YqfQ4+1Gtyda\nVTZCEARBEARBNE5A9sMwDQDAWwcf6Oi+6M6NIPYBpaoe0a2X5rpFN4b9g5hO34SiK5AFGSvFVXS5\nI5vOEK3H+w99F64mJ/DC/DkcDh9Et6cLl1ev4vLqm07J7qC/H8e7juJ411E8N/cSAOC+vrvqbk/g\nBfy7u34auqE3fCwEQRAEQRBENcxoCMlBnIoe7+i+SIgSxD6gqGjgxPXHt2zE4fBBTGdmMJm6gZHg\nMLJqDsOBwaaOQ+RFfPTkD+F3XvoDfPbK3zmPC5yAo+FDlvuamsSt7By+fuPbAIBh/wAG/H3rbrOV\ntDaCIPYvyW9+Hfkrl9H/Uz8DjqcCMYIgCKB8X/XwwH0QeKGj+yIhShD7gKKqA02U5gLAkcgYvjHz\nFK4lJ5w0ta0m5tajx9uNHz3xYTwx/U2MBUdwrOsIjkQOwSXIAABFV3E9OYnLq29iMj2Ndx54tOl9\nEQRBrEf6+WdRnJiAlkhAitb2QBEEQexH7uw5g4XCEh4Zeqjj+yIhShD7gJKig5MaDysCgEOhUXDg\ncDU54cR0R1sQogBwNnYSZ2Mn6z4nCxKOR4/iePRoS/sgCILYCC2ZBACoiwskRAmCIGwOhUfxM+F/\nuS37oloUgtgHFFUdnKhC5ISGQ328khcD/j5MpW9gIb8EAIh6tja6hSAIYidiGga0VAoAoCwu3uaj\nIQiC2J+QECWIfUBJ0cGLGjyiBxzHNfz+w+ExqIaGVxcvAGjdESUIgrid6Jk0oFshZ+riwm0+GoIg\niP0JCVGC2AeUFGuOqEdqLKiIccSeJzqVvgGAHFGCqIdRKmH2jz+NwsTE5i8mbitaIul8rZIjShAE\ncVugHlGC2AcUFQ3g1Yb7QxmHwwedryVeREDyt+vQCGLPULj6JrIvvwgxGIBnrLUh30Rn0ZIJ52uF\nHFGCIIjbAjmiBLEPKGoKwBvwNilEA7Iffd4eAECXu6up8l6C2OtoiVX7/8lNXkncbiqFqLq0CNMw\nbuPREARB7E9IiBLEHscwTCimAqDxGaKVHI5YDk/UQ/2hBFEPlsKqpRKbvJK43TAhKgQCMBXFCS4i\nCIIgtg8SogSxxympOrgmZ4hWciRkledG3dQfShD12OuOqJ7PYfqTv4bkU9+63YfSMuwz8hyNA2h/\nYFFpdhaTv/QJFKcm27pdgiCIvQQJUYLY45RUHRCsGaLNluYCwKnuE7iv7y482H9Puw6NIPYUWsJy\n2bRUck+WeubOn0dp5gZy51+73YfSMswR7ZQQzV04D3V5Cbk3LrZ1uwRBEHsJCisiiD1OUbFmiAKt\nlea6RRd+7MSH23VYBLHnUG0hCsOAnk5DDIdv7wG1mez5VwEA2urKbT6S1tGSSfAeD1zDBwC0f5ao\nujBv74fKtAmCINaDHFGC2OOUFB2c7Yi2IkQJgtgYVpoL7D0BYqgq8hetOcLqyh4QookExEgEco8V\nwtZuR1SZn3f2QxAEQdSHhChB7HGKiga0oUeUIIj1MRQFRi7n/HuvCZDCm+MwikUAgJHPQy8UbvMR\nNY+hKDDyOYjhCIRQGJwst32WqDI/BwDQVlc3eSVBEMT+hYQoQexxSqoOTiRHlCA6CROenCxb/07u\nrcCi7GuvAACkvj4Au1tgsc9KDIfBcRyknl4oi4swTbMt29fzeejptLWvPeaMEwRBtBMSorsMwzTx\nxIs3cGs5t/mLCQJWjyhzRL0SOaIE0QmY4HCPjFb9ey9gmiZyr70G3utD8L4HAOzuPlH22YhhaxSV\n3NMDs1R0xGOrsLJcANDTaZia1pbtEgRB7DVIiO4yLk2u4nPfvIYvfmfidh8KsUuo7hElIUoQnYD1\nh7rHxux/7x0hWpq5AS2xCt/pM5Bidk/lyvJtPqrmYW61GLGEqNTTCwBtK89VF6yyXHCctb/U3nLH\nCYIg2gUJ0V3GS1esC+X12fas3BJ7n6KiA21IzSUIYn2Y8HQftIXoHnJEc69Zabn+O+6EGI0C2OWl\nuWscUckOLFLaFFjEHFH3qDV7WVvdO78LBEEQ7YSE6C5C0w288uYSACCRKSGRKd3mIyJ2A0W17Ii2\nMkeUIPYzyae+hesf/7fQMvUXAZkQlXp6wXu9e0qIZl97FRAEeE+dhtTVBWB3J+c6PaIRVprLHNF2\nCVHLEfUeP2Hvb/eKdoIgiE5CQnQXcWU6gVxRg0sSAAAT5IoSW6BkzxHlwUPipdt9OASxK8m/cRF6\nMoniZP22iEpxI4YjeyasSF1dQenGNLzHjkPweCwXkeM27BFNPfMdrDz+hW08ysZYzxFtnxCdB+dy\nw8Uc0T20KEEQBNFOSIjuIlhZ7rvvGwYATMylbufhNExJ1fGtV2+Rk7vNlBQdEDS4BTc4u2eJIIjG\nUJesahS1IoimEi2ZACeKEPwBiJEIjHweRmn3n+ty518DAPjP3gEA4EQRYjiyoSO6+uXHsfL4F2Co\nyrYcY6NoiQTA8xCCQQCWIOVEEUobekRNw4C6MA+5rw+S7biqe6hfmCAIop2QEN0lsLLckE/Gu+4d\nBgdgcpc5ok+8cAN//sQ4fvlPnsPnn7qOQomSBLeDoqqBEzS4qSyXIJpGXbaEqLKOEFUTq5ag4TjH\nadsLTljW7g/1nb3TeUzs6oKWTMDU9ZrXG4oCddkKMtqpfaRaKgkxFALHW7dAHM9D6umBurjQ8ggX\nbWUFpqZB7utzSn/3UnAVQRBEOyEhuku4csMqy70n3gOvW8JAtw+TcxkYRnvmnm0HL11ZhCjw8LhF\nfPnZafziHz+Hb5y7CU03bveh7WnY+BYvBRURRFPouRyMfB5Auf+vElPXoadSjvAQI2EAu1+A6IUC\n8lcuw3VgBJIdUgTA+tow6qbBqgsLgC3mdmIfqWma0JNJZ7GAIfX0wigUYGSzLW1fsRNz5b5+CMEQ\nwPPUI0oQBLEOJERbZDVdxK/96Qt44VJ7ekvW46XLVsnQPcdiAICDA0GUVH3XzBO9tZzDreUcTo91\n4VM/8SA+8MgYNN3AZ7/2Jv7Dn79MYrSDFBUFnGDQDFGCaBLmhgKAslDriGqpFGCaECNWkM9ecUTz\nb1wAdB0+uyyXIXbZybkrtQJLmZt1vtZ24IgXPZuBqWk1QlSOtSc5lznmcm8fOJ6HGA7v+gUJgiCI\nTkFCtEW++PQkbi7l8K1Xb3VsH5VluYcGg/jSxBOI9BQAABOzu6NP9GW7v/XeYz1wyQLe99AoPvVT\nD+LOI924sZDtuJDfz+T1IgDAR0KUIJqC9YcCgJ5KQS8Uqp5njhdzQstCdHcHFmUrxrZUwtxRdbVW\naJYqhOhOnDVaDpUKVz3erlmiTIhKfX3WfsIRaKkkTIMWWwmCINYiNvOmeDz+KIC/BXDRfuh1AL8H\n4C9gids5AD8yPj6+M5MK2sTcSg7PXJgHH1zBtXkNhZIGj6upH+mGsLLcd9w1hMn0NP5x6hs4GjgG\nYBQTs2m87Y7Btu+z3bxsl+WePdztPBb0ynjs4TBen53AP754Aw+d6ttzYTqpbAkzS1mcHO26bd9b\nSbOEqId6RAmiKZgjKkaj0FZWoM7PQbDnhQIVKaw71BFV5udgqipcwwcael9xcgK83w/XgZGqx8uO\naG3prTJXLl3eiaW5axNzGVKvJURbd0Tt0txeW4hGIsDEdeiZNMRQeKO3EgRB7DtacUSfHB8ff7v9\n388B+C0A/3V8fPwRANcAfKyRjamasav6HQHLDYV/Ga5jL4Hvv4rL05256WBu4j3HYphMTQMAVtRF\nuCQBE3M7P7CosiyXCfVEMYn/delv8EeX/giuE8/jViKBCxN7r4/m7751Hb//ufP4zFcuQ9XWXxHv\nZHBTybCFqEQ9ogTRDMwR9Z06DaA2sMhx2cI7r0fUUFXM/N7vYOZ3/++GUnxNw4C6vAy5p7dmEU3q\nYo5ondLc+TlwsmyNeNmRQtRyqWtKc50RLq05ourCPMSuLvAul7UfJ7Bod7vjBEEQnaAVIbrW3nkb\ngMftr78E4LGtbkjTDfzG//ci/vDzF1o4nO3lxkIGL15eRGjYumjx/iQuTLT/omuV5S4j5JNxZCiM\n66kpAMBKcRUH+l2YXcrt+PTZyrLcvFrAF659BZ98/nfx/PzLkAUJJmdACK7gH1+Yvs1H2n5mV6we\n3mcuzON3/+oVpLLVN4KLiTz++IsX8TP/+Sn8jy9fgqrVplC2gmmaKNiOqJccUYJoCuaI+k6dAVAO\npGFUzhAFACEQBARhR5TmZp5/FnoqCaNQQPa1V7b8Pi2RAHQdUnes5jnRLs1dO0vUNAyo83OQ+wcg\nhsM7vDS3WoiKXVFAEKAuNe+IGsUCtEQCcm9/ebu2S06BRQRBELU0K0RNACfi8fgX4/H4d+Lx+DsB\n+MbHx1X7+SUA/eu/vZoXLi1gbiWPS9OrMFqMTt8uPv/UBMBr0AJWPwzvzeDCxFLL0e9ruXIjgWxB\nxT3xHoAzHUcUAKJ9CkwAUzvcFWVlubF+Fb/x3O/gaze+BZ/kw48c/0H83J0/CQDoGkzjyo0kJjv8\nvXzr1Vv49BcuQt+mfp2lZBHdITceONmL67fS+M0/exlT82lk8gr+8utv4lf++wt48fIi3LKAZy/O\n41OffXXLc1bTOQW/91ev4trN9fuEJ+bSZUeUhChBNIW6vATBH4BrZBTABo6oLW44nocYCt12R9Q0\nDKw+8VXAHlOSfvaZLb+XiW8pVitEBa8XvMdTU3qrLi9bo0v6+yFGu6El6o94uZ2US3Ory2Q5nocU\ni7U0S1SZt0Qs6w8FKh1REqIEQRBrabah8SqA3xgfH//beDw+BuBbAISK57fUDBeLBWCaJr5+7iYA\nQFEN6ByP3pi/ycNqL4uJPJ569RbefvcQoqHyTfylyRW8fn0FI8fzWDRViLwIDRoS2gpKJofhnkDb\njuHik9cBAI89MALNXUBOy8MreZBXCwj1lAAIWEiX8EisffvcKrEt7PPGfBq3lnN44FQfXkudQ07L\n4wdOvhffe+zdkEUZhmkgdCEATVwCcBRPvjaL+850puc1kS7ic09eQ0nR8cHHjuLEwejmb2qBXEFF\ntqAiPhLBv//o/fj8k9fwZ1+5hE/9xSsQRR75oobeLi9+7L0ncN+pPvzR376GJ8/dxG//r3P4lY/e\nh6MHIhtu/+VrU7g8nYDXM4MH7xyq+5rHn5sGBMsx741Eaj6zrXyGxM6FPr/OY+o6rq6swHfwIPqP\nHsC02w1jebHqZz+fTQE8j75DQ+BF67I6F+tG9voEuqM+Z17lWjr9+a288BLU+Xn0/LNHUbg1i8zl\nSwgJGuSujc8tALBwPgMA6Do4VPc4b/bEUFparnpudWocABA5NIq8LKJ47SqCvAK3nUi7E1jKW99X\n7+EDEL3Vi3NLQ4NIvHwOEQ8H0b/5fcjan8vSJcsBjx4ZdZ6TRwcxD0BW8vT3usOgz2P3Q5/h7qcp\nITo+Pj4LK6wI4+PjE/F4fB7A3fF43DU+Pl4CMAhgdqNtAMDSUgavX1/B9HwGsshD0Qycv7IACVt3\nFVfTRQgCj5BPbuZb2ZD/8aU38NwbC/irJ67gXfcdwHvuPwC3LOBPv2hlNLl754A88OjQw/j6jW+D\n96Xw1Ms38K77GguE2IiXL88j4JUQ88t4fvI8AOCBvnvwzZnvIKUtABjAhatLePTMlg3ohllM5BHw\nylVBTLFYAEtLGeff6ZyCXFFFf9RX9d5/em4KAHBqNIQvzLyGkBzE23oeQSpRAmA5f/HIEbw4/woG\n/n/2zjs+jrvM/++Z7V276l2WLRe5xy12EqeHUFOAACGQ4+jccT/uuIMDjnIBckcCRz+4EC4QCC0k\nQAjEiVPt2Ekc9yIX9d61ve/O/P6YnZVk7UorWbac3L5fr33F2Z2dndW2eb6fz/N5qpLsOdrHieYh\nSgrmX717aOcZojFldX73wR6KrfP/nplI54Dy9ykw6xkZCbB9dRkOk5b7/nwCURB4z3UNXL2+Eq1G\nxOcJccd1DRTbjTz8fAuf/cGLfOBNy9m6sizr/g+dVFbfD54eoqV9BIfVMOl2WZbZfagHvV15zokw\nk16zs1/DPK8tXs+vX3x0FFGvR2Nb+JOM+NgociKBUOBkZCSArqSUcG8fQ4PedIEZHh5BY7cz6h5P\n05UtNuREgoH2frR2+5T9XojXr/vhRwEwXXkdnDmN//QZ2v+6E9cb3jjjfcfauwGIGO0Zj1OwF5Ds\n7GKgcxCN2azc53QbAHF7IZJVuc9gcxdm4eJxY4SGRhAMRtzBBAQnPy+5QLHR9je1YpwQRpWJTK/f\nSHM7AFGLM31bXFB68729A6/bz+trkdfz9+f/FfKv4WuH6RYM5mTNXbZs2e3Lli37curfJUAx8ADw\njtQmbweeyGVfal/gzVcoX/pdQ7kPk5Zkmbt/eYDv/O5IzveZzb6Pt49hNmgxGbU8vreDf/2fl3ho\n5xnOdHtobDDRHeqg3lHLhtK1AIgWH8fa589+4w3GGPNFqS+3I4pCuj90c9kGjBoDg9FBnDYDbX2+\nebcEq7j9Ub7403186af76BrM/IE/1enm3+5/hS/ev4+n93dPOhbVlmsu8hJMhFhXshpRmPy2a3Qt\nA6BuaQRZhqf2dc378xjxhnn+UC+FdiMaUeD4eejnPZshj3JSWuwcPwlbu6SIez6+jXs/sY3rN1aj\n1Yz/LQRB4MYtNfy/d6xFpxW4//Gm9D4y0dqrWHJlGV7OMP6mrd/HqC9KabEOyFtz87w2kGWZrrvv\nov++Hy30oQCK3RRAl1L19GVlyPF4uj9SlmUSbveU8JuFTs4Nt7YQbj6DZfUaDJVV2DZtAY0G30t7\nc7q/GtCkKyrKeLu2ULl+YiCROkNUX14x3kd6kfWJJtyeKaNbVNQRLnO158bVxNyy8YVhTcHFE1yV\nJ0+ePBcbc+0RfQxFAX0R+BPwceDfgDuXLVu2CygAfj7TTtr7lb7AlXVOtq1SlJ+eWRSiPUMBxnxR\nOgf9+ILzOymma9CPPxTnkqXF/OdHtnLLFYuIJySePajMC61d7kNGZnPZBiosZWgFDUZHgNNdHqLx\n+emJ6RxQ+iXrypXV9HZvJ0aNkUprGZXWcgaDQ9RVmNMF62w51DzMP3x3N73D2f/mJ9rHiCckRn0R\n7v7lgXTwkMpzB3v41m8PE44mMBu1/OrpZn6+4xSJpDQpLfeE+wQAl5SsmfIYK1xLERDwa3optBt4\n8Wg//tD8vp6PvdhBUpK5dXs9DVUOOgbm/z1zNsNqIVowOa3WYtRh0Gky3QWANYsLeceVi5FlaMqy\nsOENxhjyhFlUbkcjCuw9PjBlm1dPKq9VoVNRsk3afGpunoufZMBP0usl3HwGObHwQWzxYeVzpE0V\nZLrUWA61T1QKBJATCXSpUBqV8d7AhSlA3DuUtWBnSv3UWK1Y16wj1tNNtHvmxb74yDBoNOmwnbPR\nuZTr42MTC9F+0GjQl5SgSxWqaiF/MSDF4yQD/imLBirjyblzCyyKDQwg6PWTgpBEnQ6NzZYvRPPk\nyZMnA3O15gaAt2W46YbZ7GfHK8qP4Y2X1mK36HFY9HQP5S6zN3W40Za1Iye1nOn2sHH5/PWhqKNE\nVtW7MOg1vPWyRVy5rpId+7qwm3W8Gvg9WkHDhpI1aEUtlbYKuuReElKC010e1iw+9/7Djn7lb1FX\nZiMQCzIYGmaFaymiIFJtq6TV20FhaQxOK+pXoWN2hcbjezsJhOO8cnKIW7P05Z7sVP4Ot26v5y8v\ndfLffzzO2y6r42/etooHd5zi+cN9WE06/u6WVRQ5THz/0aPsOtJP/2iI6hJlnxuWFfLH4RM49Hbq\nHbVTHsOqt1Bjr6LN18mNG2/gkWc7efZgLzddvmhWzycb/aNB9hzvp7LIwpbGUjyBKKe6PJzoGJvW\n+nquDLnDiPYRDgSfZZX0dnRi7h+3FXXKSV5TxxhXrZ/aM9vS4wUxgVh7hGX2BppOB+geCqT/5rIs\nc+D0ECaDBpNJhgCYdXlFNM/FTyI1EkROJIj29WKsmfqdcSFRCyl9WhFV1K7YwACWVauJp0JozlbZ\nFlIRjQ0MEDh8EEPdIkzLlqevt2/bRuDQAXx791D8rulbSOIjw+hcLgRN5kWzs5NzZVkm1t+HvrgE\nQatFl7r9XGaJypLE4C9+NmWkimgwUPK+v0HnnLnXdSJJdXRLlvvpihVFNHT6FM7rb0A05v6dKUsS\nscEB9KWlU3qCtU4XscEBZFm+oPOkQyeb8B/cT8m7bkfQzv+M8zx58uQ5V85lfMs5MTAaZP/pIWpK\nrDTWKj8K1SVWRn1RgpH4DPdWONE5hLb6DLrKZk53z29M/rG2UQQBGuvGV4PtFj23Xb2ExkYNA8FB\nVhc1YtYpvTG1tipkJASzf97GuHQMjBeibSlbrlrIVdmU4kRnU9TMtr7syamZ6BzwpxNqs9lUZVmm\nqdON3azjzVtr+cL7NlDkMPLYng7+9qs7ef5wH9UlVr70NxtZVuOk0GHkc3dsYPOKEpp7vDx7sHdG\nW65Ko2sZkixRUh3EYtTy1KvdOb8PZuIPu9uRZbhlez2iKLCqXjlBOh/jdiYy7AmjLevg0NgBnu58\nflb3jevc2MvdnOryZEySbun1oHEN0iedRleu2NtfmqCKqrbc9Q3FRPKpuXleQyQmzKaMdLQv4JEo\nnK2I6stThWhqhMt4Yu7Fo4i6d+4AWcZ14xsnFT6W1WsRLRZ8r7w0bZqtFI2S9HrRFWVf3E3PEk0V\nmkmfFykUQpf6+2hdqjV37t+z4dOn8O3eRfj0qUmX4NEj+F/OzWI8kfHE3CyFaFER+soqwqdO0v65\nz+J57pmcVfmEx40ci6ErnZrXoC0oQI5GkcKhWR/zuTD25A68zz1L4MjhC/q4efLkyZMrC1aI/vGF\nVmQZbtxSgyAIhBNhKooVRS8Xe24iKdHi7kQQZAR9jJM95zaEeiLBSJzWXi/1FXasJt2U2/f1K7PY\nNpddkr6uxqaklurt/nnpP5RlmfZ+H06bAYfVQFtqbEu9oy71eEohGhHHEAWB1r7ZjT157pBiMbYY\ntVltqv2jIbyBGMtrnQiCQFWJlS/euZHlNQV4AlE2Livm83dsoGhCorBBp+Gjb1vJrdvrEYBLlhZN\na8tVaSxU+kSbvc28aWst4WgirZifC50DfvafGmJRuY31DcqJZFWxhQKrnuNt53dc0JA7jMaszBHd\n0fksw6GZ3xejYTc/O/EbvvHq94hXv0KQMboHp34eWnq9aKzK4sNIsgeLUctLJwbSY2lUW+7G5SWE\nE2FEQUQvTn0v58lzsTHR6hnt6Fi4A0kRHxkBUUxbb/Upa248Zc3NVtyMK6IXdpZowuvFt+dFdMXF\nWC/ZOOk2QavFtnkLSZ+PUNOJrPtQ53/qijP3h8JURTTWrxTmhvIKQFEtNTY78bG5W3P9+18FoOrT\nn6HhJw/Q8JMHqP/WdwFF7ZstiRkUUUGjoebzX6TwpluQYjGGHvoFHV/+Av4D+2fct2rV1pdNddmM\nzxK9sIsS0R7lN9Q3h6I9T548eS4EC1aI7tz+v9nCAAAgAElEQVTXRaHdyMblJSSlJP+x77u06J8B\ncgssauvzkTSNr5wPBAcJhOdHQTvZ4UaWYXWG8R5JKcn+wcNYdZZ08QRQY1cKUWdJmEF3mCH3ua18\negIxvMEYi1L9oW3eDgQE6uzVAJSZS9CKWvpCfVQVW+gc8JNI5jYbMxRJ8ErTIIV2IzduUexZJzL0\nIjZ1KNdNVIVtZj2ffvc6vvOPV/Kxm1dh0E+1bQmCwFu21fGNj23l/W9YypFpbLkqtbYqzFoTTaOn\nuWZ9JQVWPTv3d+MNzL73dSKP7lJSHG+9cnFaGRAERRUNhOPpZNv5JpGUGAsGQB/GpDWSkBI83Pyn\nrKFSwXiIR5sf566X7+HVwYOYU+qlaHVzsnPyyUs8kaRzwI+hQFl8GIu6Wb3ChDcYS713x225K+tc\nhBIRTFrjBbWE5ckzVy4+RXQYrcuVtjaKBoNitVQL0bQ19+xCNBVSc4Gtue4df0VOJHBe/4aMY2Ps\nWy8DwPdS9pmi6RmiRVNniKpoHQUgimlFVC1EVcUYlGI1MTqKPIe5zXIySeDgATQ2O6alyxAEAUEQ\n0DocimrZ0owUn91vflq9dmQOKwLl9S18600suvsbOK6+hvjICP0/+gH+A69Ou+/xoKJMheiFV8eT\nfn/aihw8eoSkP58umidPnouPBStEY/EkN2xSUkObxk4zGhljKN4DgkR3DoVoU8cYonX8S10wBmnu\nmZ+VZ9WyaSge5q6X7+XnTb9h38BBvFE/J8fO4I8H2FC6Du2Enr8ycwk6UQdmRaU6PkN6bjAS5+u/\n2M++k5lDETpSttm6MhtxKUGnv4dKaznGVOCMRtRQYSmlLzBAXYWVeELiH7//Iv/w3d3py/cfOUo8\nMfUE4OWmAaLxJFeuq2DNYmXF+1j7VLVOLYBW1E4+wdKIIourChBnKGyKCkx0BNtntOWqz2e5qwF3\n1IM7PspbL1tELC7x+Eud0z7GdLT2eTnWNsrymoK0/Vtldcqee77Sc0e9ETAq7+NLyzay3NnAidFT\nHBk+PmXbYyNNfOWlb/BM9y5seht3Nr6bT13yMQBEm4emzsnvpfZ+PwkpQVI3bscurlKU170nBtK2\n3HVLitFpRULxUN6WO4+MPPp7+n783wt9GK9bJhZ20d4epPj5DRWbDikWI+n1TCnI9GVlJNxjSNEo\nCbeqsk225opGI6LJNOfiI3D4EK2f/hStn/rkpEv/T36c1VYb7enG/cxOdMXF2C/fnnEb46J6dKVl\nBA4dJBnOnMo9npibvRAVNBq0Bc70wsHExFwVXWEhciJB0jc7xw5A+Mxpkn4f1ks2TOlTNa9YgRyL\nEWltmdU+0+p1Dr2lWoeD0ve+n+rPfh4A/ysvT7v9uCKawZqbLkTnL1V/JqI9yvgdjdUGyST+V1+5\nYI+dJ0+ePLmyYIXopavKuGKt8oX9yoBidU3KSbSWQE7W3KbOMUSrB4GUymVSEmvPFTk1tsVq0tEc\nOspgaJh9Awf5edNv+Pyer/LAiV8BsGWCLReUQqraVoE/OQZikuNt0//gHDwzTGuvj6de7c54e7va\nH1puo8evhCCptlyValslCTnJsgYtNaVWHFYDdoseu0WPTityqHmE3z/fOuX5PX+oF40ocMWa8qw2\n1aQkcarLQ5HDSPE5zPQ8NHQUmN6Wq6KOcWkaPc0Va8opLjDy/KFeRrzZR5hMx7FWpci8fmP1FDWw\nsc6JIDCv43YmMuQJI5qU93G5pZTblt2MVtDwcPNjRBKKyivLMk92PMv/HP05cSnBLUvezJcv/Rc2\nl11CmaUEs9aE3uHhTLdnktrd2utFtPiQBTn9NxuTeyhxmjh4epjdR5SV+U0rShgMDuGL+Sm3XDwD\n5V/LJDwexp58gsD+fSS8s+vLzpMb8dFREEUsa9ZCMkmsp2fhjkUd3XJWQaZLqV6xwYGsiigo9ty5\nKqL+fS+T9HoQrRY0dhsauw20GvyvvMzo449N2V6WJAZ/+SBIEiW3vw9Rn3lOsiAI2LduQ47HCezf\nl3Gb8ZE12QtRUArNhMeNnEiMK6ITFMF0cu4cRriotlzbxk1TbjMvbwQgdGp29tyZekQzoRTupQRP\nHJ92USSWUkTVVOWJLIRNO9qtnFu43vwWEIScx/bkyZMnz4VkwQrRL3xgC0a9llA8zLGR8R8TZ2mE\n3pFgutctE5FYgo6xPgRtgpWFSiKgxhTkzDwEFvUOB3H7ozQuctDqbafMXMLnNn2KW5a8meXOBpJy\nkjp7TbondCI1tiokJIrLYpzsdGdUI1UONys/zG19voz20w51dEuZPT0/dPFZ1tYqaypN1ezjKx/Y\nzNc+tCV9ufvDl1JeaGbn/m4Ot4yfBLT2+ugZDnLJ0mIsZg2n3M2srHdNsal2DgQIRxM01jnp9vfi\nj+U+VkclKSVzsuWqrChcCkDT2Bm0GpGbL68nKck89mLHrB8blMAegMVVjvR1o+Exuvw9WIw6Flc4\naO31zlso0kSG3GGEVCFaZiml1FzMdbVX4Yl6eaLjaWLJGA+c+BWPte2gwODgnzZ8nOtqrkSnUfo4\nRUGk3lGLpAsRI0TbhB7g5h4volV5r28puwSH3s4ZdytbV5YSS0jsOtKXtuUeHDoGwPrimRcC8syM\n98VdkFKjot1zV+vzZCfhHkNb4MRYvxiAyAL2iaYtqmcVZPpSNTm3n4TbjWixZCz8tAVOpGAQKTZ7\nVTfS1YloMlH31f+g7q67U5evoy0sZOzxxwidOjlpe9/ePURamrFu2Ihl9fSfd9vmSwEIHj+W8XY1\noGk6RRRSgUSyTMLjJjbQj9bpmpQ0qwY8zbYQPduWezamZctBFAmdPJnh3tlJuN2QsvfmiiAIWNeu\nR45GCZ86lXW72MAAGkcBGtPUhdvxHtELqYgq/aHmlasxr1xFpL0trVrnyZMnz8XCghWiKoeGjpKQ\nEmwsXQeAweEnnpAYHMuugp3p9iJblC/01UUrsOos6KxhOgf9hKPnNndOtaiWVkWJSXGWuRqoslVw\nXc2VfHL9h7l3+118esMnMvbb1ab6N0sqY0TjySm9fSqxeJITHeM/SBMLRVCUso5+P0UOI1aTLh1U\ntCiDIgrQ4++d8hgGvYaP3bQKrUbkf/9yErdfKXafO6SoC1etr+Txtqf4weH7cZQrxznRpqqObamq\nFLln//f52ivfosWTvV9LlmUS0uS//Wl3S062XJUCg4NKaznNnjZiyRhbGkupLLKw53g//aPBSdtK\nkowkZQ8akmWZ9j4fxQVG7GY9/liA3535E195+R7u3f8D3BEPq+pdyqzOjvnv2xk+SxEFeEPtNRQa\nXTzbvZt79/+AA0NHqHfU8plNn8y4sKEq4KLVk+7XlWWZll4vxoKUYu6oZZlrCYF4kPr68fekass9\nNHwUraBhTXHjvD/H/2vIkoR31wvp/4905gvR+UZOJkl4PGhdLox1yvimSOfC9Ylm65VUVb9Yfz8J\njzurwqaOdEl4Z7dIKkUixAcHMdTUTvqt0ZgtlH/k4yAI9N//PyT8ygJVMhBg+Pe/RTAYKH7Xe2bc\nv664GI3DQaStLePt8ZERxVpszTzWK72fVGBRtK+XhHtsUn8ojCfrzjY5dzpbLoDGZMJYt4hIe1tW\ne3EmEh4PGrsj60iabFjWrQcUu3Qm4m43ibFRDBUVGW/XuZT3R3zswvWIRru7EXQ69KWlE/qC86po\nnjx5Li4WvBB9ZeAAAgJvrb8RnagloVe+qKfrEz3ZOYZoU37Y6x11lJpLSGqDyCRp6T03u5xqqZUs\nSnG4zLlk0u06UZu1qFKLCaNDOfaXTgxk3K6p000sLrFhmXJyo6qjKqO+CIFwnLpyO7Is0+btoMDg\nwGWcHLBQaS1DQKA7QyEKyjicd1+7hEA4zn2PncAXjPHqqWHKXGZqK4zs7lV6XgK6HsWmOsFOrBZn\nScsgkiwRiAf53qH72NM7uc9ElmUODh3l31++h3964Yt85+CP2dHxLJ2+bg4MHQFys+WqNLqWkZAS\nNHvaEEWBW7bXI8vKCJZhT5jnD/Xywz8c4x++u5t/+dFeYvHMvVKD7jDBSIK6Cgs7Op7hKy99gxd6\n9qATtUiyxKGho+k+0fMxxmXYoyiidp0tPb9Tr9Fx29KbkGSJvuAA28o38Q/rP4pdb8u4D1VF1tg8\n6UWNQXeYQDiOaPVi1VkoNDrT79HhRDdLq5X3iGrL7Q30s6Jwab5HdB4IHjtKYmwU8yrl/Rztyhei\n803C6wFJQucqRF9WjqDXL6gimhjOooimCtFoZwdSODylP1QlbcmcZZ9otLsbZBlDhhmqpsVLKLr5\nVpIeD4MP/BRZlhl59PdIgQCFb7s5XfxNhyAIGBfVk3CPET/r2GRZVgKaiopnDDjTupTnHTqhJPBO\n7A+Fidbc2X3HTmfLVTGvaARJInzmdE77lFPKrRoiNRtMi5cgWq0EjhzKGDjn260sUFk3bc54f9Fo\nQjQaL1hwlWKV7kNfWYWg0WBdtx7RaMT38ktzCo7KkydPnvPFghaiw6FRWr0dLHUupsjkospaiV8a\nAyE5fSHa4UZj9WDSGimzlFBmKQFkBGMopz5RWZb59dPNPPTUGaITCplILMGZbg+1pTY6Au0ICDQU\n1Of8fErMRRg0esYSg5S6zBw8M5xRoVULzxs2VVNZZKGp0000Nn4cHf2K2rWozMZIeAx/LEC9o3bK\nSYFeo6fUUkJPoA9JzvzjcvX6Si5ZWszpbg/3/voQiaTEVesr2du/j0hSmS/Z7G2hvsJOa59iU40n\nlIK+qthCW0AJg7hjxW0YNQZ+dfoRfnfmjySkJM3uNr554If89PgvGY24KbOU0OJp589tO7hn//d5\nuX9/zrZcFTWJ+OX+/UiyxPqGIhaV29h/aojP/vglHnzyNAdODxNPSrj90awLD219XgR9mBbbH/lz\n25NoRS3vbLiJL275ZwQEDg4do7bMhtWk43jbaNY027ky6PUhGiKUW0snXb+qaAXvaHgb71txG7cv\nfwc6MfuQ8Vp7NaIgYnL6aOvzEYklaOnxgi5CXAxSZ1dGH6mF6Gl3C+++dglv2VbH6vq8LXe+8b7w\nHABFt74d0WrNF6LnATX4RutyIWg0GGpqifX1IkXPLT17rsSyKKJaVyGCTpcuglTF62zmmpwbSdm+\njTU1GW933vgmzCtWEjx6hMEHfop31/PoK6twXnt9zo9hUq3PbZNzBKRAADkambE/FMZnhQZPKN81\nZyui6REvs7DmzmTLVTGvSPWJ5jjGRQoGkePxnIKKzkbQaLCuXkvS4yF6lhNCTibx7n4B0WjEnrI8\nZ0LrdF0wa25soB85kcBQpbi0RIMB68ZNJMZGcy7c8+TJc3Ez+vhjjP318YU+jHNmQQvRfYNKSNGW\nsg2AMgJFQkIw+7MWov5QjK6xUQRjiEWOWkRBTBWioDHn1if69IEedu7v5pmDPfznQwcZ8ykF2alO\nD0lJZvkiGx2+LmrsVWk1KxdEQaTGVsVgaJjNKwuJJyT2n5o831SSZY60jGA1a+mXT7JsiZ54Qkpb\nLwHaB8YTc9tS/aFnBxWpVFsriSZjjIQnrzg3u1s5PHwcQRD4mzcux2U30DsSRKcV2dxYxHPdL2LQ\n6FlZuBxP1MuiOtI21ZYeL/GExLJapfew1FzC1vKNfGbTJ6mwlPFCz17+4S9f4juHfkyHr4tLStbw\nxS3/zOc3/yP/ecWX+NuV72Vb+SZKzEVcV3tlTrZclXpHLWXmEg4OHeW+Yw8STUZ5z7VLKS4wsr6h\niDtuWMp/fPRSPnHzKoCs9ue2Ph+ic5CIHOSyii18Zetnuar6MpzGAhqci2n3deKNellV78ITiNE7\nHMy4n7kgyzIjUeXEq8IyNbji6urLubR844xqg16jp9paScLgISknONPtpaXXg2hRiu86u3KS6jQW\nUGIuotnTRnWJhVu316MR87bc+SQ+OkLw2FGM9fUYa2oxVtcSHx4mGbqwA+qzIUUiuJ/aQWxo/uYp\nLwQTC1EAY10dSBLR7nOfKTyn4xkZRjAY0NgmuxYEUURXWoYUUX47sltz56iIpoodQ01dxtsFUaTs\nQx9GY7Pj2/siAKV3vD89YiYXjIuURdZI+2R7biyHxFyVtOKZJTFWYzYjms2z6hGdyZabPv7FixF0\nupwL0bkEFU3Esk5pHwocmWzPDR49QsLtxrZ1G6LRmPX+59IvPFvUoCJDdXX6urw9N0+e1w+yJDH2\n18cZe+Iv8y6kXGgWrBCVZZl9/QfQizrWFitFRW3K2motDNI9lHnm1akuT9qWuzhVnJWZlULUWRSn\nvd83SeU8m84BPw8/14LNrGPrylI6B/zc9fP9tPR60xbNgrIAkixNseXmQo2tChmZ6lpFCT3bntvR\n78cbjFHfEOe3zX+gz6RYXQ9N6BNVFdHaMvuEQjSzqlhtU6xQE+25x0dO8r3DP+Enxx7k+MhJrCYd\nH3nrSjSiwLZVZZzyncAT9XJZxRY2lKwFQONUnvuxtlGaUsVdQVmQmBRnZUqlLDIV8ukNn2BN0UpG\nQmMsKVjEP2/4ez646g5KzMoJiVVnYUPpWt674p18+dLPcE31FbP6+2lFLf+04RMscy7h2EgT3zzw\nQxyuBN/42DY++fY1XHNJFaVOM0urC9CIQtb+zrY+H1qzUlxeVXUZJu34CcIlJasBpT9ZnRWbaXzN\nXPEGYyR1ymKC2h86V+oLapGREC1eTnaO0dzjRe9Q9r3IMa6WLHM2EE3G6PQrJyCqLXe5K2/LnQ+8\nu14AWcZx5TUAGFJK1UIVSGfj3vkkw7/7DR1f/BxDv34o3Tv4WiM+pnwOdSmrq7E21Se6APZc1aKq\ny2JRnZgOm01lm2taarSrU+nvyzCTMr1vRwFlH/oIaDQ4tl+FqWHprB7DULcIBGGKIprIEtCU8Rhc\nky3JZ1tzQekjjY/m7jrJxZYLIOr0mJYsJdbbQyKH8TDjhejsrbkAlpWrELRagocPTrrek3JKFGy/\netr7X8hZompQkaF6/DfC1LAUbWEh/v2vLpjDIE+ePPNDYmwUORZDCofnNB7rYmLBCtHTI22MRMZY\nW7wao9YAKIoogKkgiCcQwx+aunJ4csL8UFUlVBVRkyNMUpJpzWLXjMQS/PhPx0kkZT745kY+9JZG\n3nNdA/5QjHt+dZBXmgYxGTT4RCVZbk6FaOo5eKVhllUXcKrLM2n8yKHm1I98ofLfrmA7toI4R1pG\nkCRZCSoa8FPqMmM0iJwca0Yv6qiyZg5BUAOLuv3KMbd5O7j/+C/RCCJaQcMvTv4OT9TL0uoC7v3E\nNm6/roFnunYhCiJXV1+eTqodiHWkbapNHW5EQSCoVfapjggBMGqNfGT1+/n+m+/iU+s/NqkYmi8s\nOjN/t/aDXFV1Gf3BQe7d/31OjTVP2sZk0LKo3E7HgI/QWam3sbhi7TbYwwgIFKeKZJV1xavT9tyV\ni5QTKXXUy3xwdmLuuaC+x7V2DwfPDNM/GsLk9CMgUGsfDzhK23PHFCu1asudTX9unszIiYRivTOb\nsaV6wAy1ysLQ2Ta9hcK//1UErRadqxDPMzvp+NxnGP3Ln19zJ5xpRTRl6TTW1QELE1gkBYNIkewW\n1ZwK0dT1yVlYc6V4nGhfL4bq6hlDdSwrV1H/zW9T8r47c96/isZkQl9eQaSzY1Lf4HhAU1G2u07a\nh2g2AyCaLWjs9inbaAuLkKNRpODMrpNcbbkq5hUrgNzGuMSHlcXebP28MyEaTZiWryDa3Z1WeGPD\nQ4ROHMe4eMkk9TETWteFmyWaVkSrxn8jBFFUxvZEIwTOKqbz5Mnz2kIdlwUQHxpcwCM5dxasEN3V\nqSiBW8rH53GWmovRa/RIRmX1OJM9t6nTjc7uQURMp9QWGBzoRR1JnaIkZrPnPvTUGQbdYd6wuZo1\niwsRBIHrN1bzT7etw6DTEIomaKxz0expRStqs9php0MNLOry97BtlXKi8tKJ8TfJ4ZYRtBqB/rhi\nh5KRKaofwh+K09bnY8gTJhxNsKjMxtHhE4xGxthYuh6NmPmERC1QewJ99AUG+O8jD5CUk3xo1fu4\nZclbCMSD/Lzpt0iyRIHVwBlvM33BATaUrMNldGLX26ixVdLq7WBFvQ1PIEZ7v4/6CjtnvM3oRB1L\nChZNekxBECi1zhxkcS5oRA3vXHoT713+DiLJKD888tN0kaWyotaJLDOlL7hrMEBSkpH1fopNhVP6\nMG16a9qem9SElOfa7SUQnp8xLpkSc+eKqoRbiwIMeyKATFzvptRcPEnpXOpcjIDAabfyN8rbcueP\nwOGDJH0+7NsuT4/oMKZCZCIXwQiXWH8fsd4ezKtWU/fVuyl+z3sRtDpG//AInf/+pYvGPpwL8dRJ\nuqqI6krLEI1GogugiI6PMMlckKkjXCB7caOxO0AUZ6WIxvp6IZnEUJ1bb73WZp/zd7GxfjFyNEqs\nd9xRM16I5jZ7WO0T1ZeXZzyO2cwSzdWWq2JuXAnk1icaOqkEKpmWzH6BWcW6NpWee+QwAN4XngdZ\npuCq6dVQmKiOXwhFtBttYSEas2XS9fZLU/bcvXvO+zHkmX+SgQC9P/guPd+69zVvx8xzbkwcxRQb\nzByM+lphwQrRl7qUIJuJqqPSY1lJCDeIiSmF6Kg3wpAngGD2UWWrwKDRp+9XainBl3AjIGcMLNp7\nvJ89xweoK7Nx6/Z6dnY+z66elwBYucjFv925ka0ry7hmUzG9gX7qHXXoUzMdZ0OxqRCT1kSXr4eN\ny0vQaUX2Hh9AlmWGPGF6h4MsXizgjnpYW7wKi9aMR98KgsShluFxW26plZ1dShLftTXbsz6eWWei\n0Oiiw9fNDw7fTzgR5o7l72RV0QqurNrG6qJGzrhbeKpTsQ/t7HwegOsm7LPRtYyknKSocnzFelGN\njv7gIA3O+vRsy4VgW8Vm/n7dB5FkiT+0TvbCN9YpP+xNZ/WJtvV5QRsjIUQptWRWMybac9ctKUKS\n5Vml5yYliYefb8mYjKwm5lo01ln1GGeiwOCg0OgkYRwDZARTgCTxdH+oikVnptpWQbu3k25/X96W\nO494nk9Z7668Kn2drqQUwWC4KBTRiVZGQavFee311P3HPdgv3058aJDRx/6wwEc4TjIQYODn/5u1\nKEmMjiLodOmxIYIoYqitIzbQjxTJfUzHfBAfUY4xW0E2SRHN0ncoiCJah2NWdkw1BCtTYu58Y6xX\n+kTDE+y58eHcFVEYH+GSyZY78Xb176kS6+9TTqq/8630ZfCXPwdmtuWqGGpqEc1mwjPME5UTCUIn\nm9AVl6AvzW53ngnLWqVPNHj4EFI8jm/PbkSLBWsOxzs+S/T8FqIJr5ekzzfJlquiLyvDULeI0Mkm\nkoHZzwbPs3BEe3vp+vpdBA8fInTyBLHenoU+pDwLSHRSIZpXROdEMB5mU9n6KUE2ao+laPbTc1Yh\n2tQ5hmjxIQtSuj9UpcxcQkJOUFEh0NrnI55QrEbxhMTxtlF+8dQZjHoNH7tpJU907uSPrX/lt2f+\nkJ7RWeo08+G3NhLSKS/oXGy5oKiFtbYqhsIjyGKcS5YWMzgWoq3fx5FUWq6tXFn1v6RkDZeWbyQi\nhTAUDXG4eYSOVFCR3umlw9fFmqKVaetxNqptlYQTYbwxH7cueQtbyjekj+WOFe+kwODgL+07ea77\nRZo9baxwLaXKNn7SsCLVAxo29KOuZ+tdSlE20Za7UCx1LmFDyVq6/b0cHj6evr6+woFeK04JLGrr\n9yEaU9ZYc2ZFcqI9d12DcsJ19hidbMiyzIM7TvPEy138aucZEsnJicX9Hi+iIUKpOTdFYSbqHXXE\niSAYg2isyiJLnWOqDWyZs4GEnOT3zX8C/m/bcv0HD8x6ZEQmYgP9hE+dxLR8xaQTbUEUMVTXKAXS\nBQgfmQ7VlmtJqTWgWCZL3vs+dKWleJ55mshFkvDr3bMb3+5dk+axTiThHlMSaScoa8a6OpBlIl0X\nth93JkVUlwrmEfT6tD01ExpHAQmPO2cFQ32tjLXnvxA1LUol57ZPLkQ1joK0+j8TExXRjLcXZp4l\nOvLoI8pJ9fFj6Ut8cBB9RWVOtlxQPofmZSuIjwynC+hMhNtakcJhzKtW57TfbOhcLgy1dYROn2Lo\nmedI+v04LrsCUTfz3+pC9YhGe1RbbmarsG3DJpAkAocOnNfjyDN/BA4fouvurxIfHkr3guca0pXn\n9YkaEAcQzyuic0MQhHRa7kTUwCKdzTdJET3ZMcbvnm1J94cuOiu8Ry3WSsslEkmJh59r4TsPH+GT\n393Ff/3uCNFYkvffuIzjgQM82fksBQYHAL85/ShJaTzcSLU2zrUQBahLWYZPjJ5i60pl9XXv8QEO\npwKJPGI3oiDS6FrGZZVbALBU9dE/GmL/qWEEoCm0H4Draq6c8fFU++YNtVdPUU+tOgsfWHk7sizz\n++bHMu5zkb0Gk9ZIi7eZxVV2LEYtI7Jy0qcGFS00b6m/AVEQ+XPbk+lRNTqtSEN1AX0jQTyB8V64\ntj4fRruSZlmapYifaM81W+MUFxg51jY6pajMxO9faGX30X40okAwkpjSXzoQVE5gq+2ZT8xmi/r6\nWlx+HMWKzbLOPvUkVX3Ptnja0QoaVhf937TlRnu66f/v79N515fO+cc6cFA5WXNcMdWVYKypURJd\ne+a+Mp0MBpETU0c85cpEW67GNFn9FnU6Sm5/H8gyQ7/8+UUxPzB0XFlIyjT6RorFSPr96M4KwFED\ni6Id89MnKktSTmpQWhEtzvwdojGZ0JWVoa+onNYaq3U6kRMJpBwVqGhXF4gi+srKnLY/F/SVlQgG\nA5G2VKtIMkl8bDRnNRTG+xDVFN6z0RUqrpT42PhCX2xggMDhgxjqFrHkh//Dkv++L32p/cpXc7Ll\nqqT7RKf5rIeOKz3zlnMsRAGs69ZDMkn7A4p669h+VU73u2CFaLcaVJSlEE2pt6qTYiFI+v0XxffR\nxY4sy4z+5c/0/fB7IEuUf/QTlH34o7xRgJ0AACAASURBVMDCFqLJUOicfrfynDvR/j50paUIBmNe\nEZ0r99zweSqsUy0yatiP2RWkbzRIIinxzIEevvXbI0RiSWoXK2/+s1Nk1eRcq1MpSJ4+0MPR1lEK\n7Uau21jFZ96zHtHVxyPNf8aht/GPl3ycreWb6A3080LveJz5aXcLRo2RGtvcTwIuLd+EgMAzXS/Q\nWFeA3aLnlRODnO7yUFOlpTfYS0NBPWadiVJzMcucSwjrhhCMAUZ9EUrKkzSNnWKRvZbFBXUzPt72\nqm38y8a/5231N2a8fUnBIt606DoAqq0VU4psjahhubOB0Yibd91YwRfuvIQz7laKjC6KTbmfkJxP\nSszFbC3fyGBoiH0D40ELjbXKj7uqinqDMUa8ERyFikpVNo0qqdpzDw8fY92SYiKx5IxzaHe80sUT\nL3dR6jLzqXcqicN7j09ejXLHUqNbrOfWH6qi9iqvWStiLw6hF3VUZOg9XVxQh1ZQTuCWu5aesy34\ntUq4RQm2koJBer79TdzP7JxzP41qfzHWTT3JVkdrRLs65rbvnm7aPvNPtH/hs/he3junE7OZEkYt\nK1dh27SZSFsb3t275nSc84UUiRBuVmYYZlI31RCXs/stDXXzm5w7/Jtf0faZf0r3QmYjF4tq1ac/\nS+Xf/79p96NLFSCxgZlXreXUqBp9RWVOKtu5Iogixto6Yv19JMNhJSxKknJKzFVxXL6dmi/9O+Ys\nKmbamjtBEXU/tQNkGdeNb0Q0GBD1+vRFEGd3WpKeJzpNYFHw+DEErRbzsuWz2ncmVHuuFIlgXtE4\nbbLxRDRWG4JWe957RMeDijIHCeqKixfUnhs6dZLWf/7U62L+4flm7PHHGP3DI2idTqr/9QvYNm1G\n5ypEV1pK+Mxp5GT2CRHni/jYKO3/+i8M/OynF/yx8ygk/D6kQAB9eQX60lLiQ4Ov6YWdBStEawuq\nMl5fZCpURm2YvCSSMt9/5BgP7TyD1aTln9+9Dh+DOA0FOI2TI9hV5Us0B7llez0feNNyvvmJbXz9\nw5dy+3VLSVgG+MXJ32HSmvi7dR+iyOTi5sVvwqI183jbk3iiXkbDbkbCozQ467OGA+VCsbmQdSWr\n6Q700eJt49LGUkLRBJIsU1yj9ICuKVqZ3v6Kyq0AaEuUHxBteQcA19fOrIYC6EQtdfaaaVflb6y7\nlluWvJn3rrgt43aNKeWzK9xGQBgmkozQWLjsvAYSzZY31l2HVtTyl/adxCVlQWJFqk/0ZGqMS1uf\nkpisSY1uKcvSIwqZ7blqqnEm9hzr53fPtVBg1fPpd62lsc5JVbGFwy0j6aCjcDRBRKMcQ3mGGaJz\nocJahlFjoCPQzmB4iGpbVcb3p16jTzsF/i/bclV1p+R9d6KxWBn+9UMMPvjAnFZw4wMDoNFkLEbS\nI1zmYBmVolH6/+dHyNEoCY+Hgfvvo+tr/06w6cSs9pPJlns2xe96D6LRyMgjD08a6yLFYow98Vc6\nv/oVIp0ds34OsyV0+lT6NUh6PSS8kxd9zk7MVdEVFyOazfOSnBsbHMDz/LPIsRj+V/dNu218ZBiN\n3Y5oMGTdRud0zjgOxLJGKVw8zz0z8/ENDCDHYorafoEw1i8GWSba0T4hqCj3QlTQaNLhXZkQrVYE\nvZ5ESmFOeL349r6IrrgY6yUbz+3gUSzSmoICQiebMp6YJ7weol2dmBqWTjvnM1cM1TVpO7LjyplD\nilQEQUBb4EwHcmUj1t9H9zfuTgcizZZoTzeCwTjtYsJC2XPlRIKhXz4IySTunU/OKtU73NpC9zfu\nJnji+Mwbvw4InTnN6GN/ROsqpOYLX570GTMvb0SKRIjMk0tkNgz/+ldIoSCB/a+SDF/Yvv08Cmpi\nrr6sHH1pKXI8fkFC0M4XC1aIZkMURKptVUREL4gJjrWNUlNq5Yt3bqKgKEEgHsyoEhabChEFkaHQ\nMG/dVscVaypw2ZUfnQ5fV3qkycfXfIBKq2KZtOot3LT4jUSTMR5tfnxebLkq16fsr093vZBOzwWI\nGJV0wtVFK9LXrSlqxK63oSvpQzCE8GhbKTEXzau1UhRErqu5Mj139GxWuJS+g6ax0zSNKqpF40Vi\ny1VxGgvYXrmVsYibvX3KSWRNiQ2LUcvJzjFkWaatTznRjopeHHrbtGE9E+25RUUyZoOWwy0jGdWz\no62jPPDXU1iMWj79rnUUOUwIgsC2VeUkJZlXTyrWiMmJufPTIyoKInX2GtxRDzJyxv5QlaurL6ex\ncBlri1dm3eb1TqS9DcFgxHHFldT825cx1NTi272Lrv/4GgM/++mki/fF3Vn3I8sysYF+9CWlGa2C\nhopK0Gjm1H859JuHiPX3UXDt9Sz6+n9i27KVaFcnvf91Lz3f/mZOSkWopyerLXci2gInhTffihQK\nMvL7h5ElCe+eF+n4t39l5JHfEe3sYOQPj876OcyWYMoeaVqufPedXcDHxyYn5qoIgoCxdhHxwUGS\noZlHgEzH6J/+CKmV4+msibIkpSyquRdk2TCvXIW+qhr//n0zJsdGuy9cUJGKsV7pEw23tY6rwLNQ\nRGdCEAR0hUVpRdTz7NPIiQTOG26ctfqZbf/W9ZeQ9PvTVvqJhE4oizvn2h868fFcb3krhVu3KDbd\nWaB1Okl6vdMqWcMP/5Zw8xn6f/QDQqdPzWr/UjxObKAfQ1XVtH/bhbLnup/aQWygH43DgRQM4n0x\nN5eGd8+L9Nz7n4Sbzyhq+uucZCDAwE9+DIJA+Uc+htbhmHR72gVwge25gaOHlcULjQY5kSB4dG6L\nJXnODTUxV19ejq5UccfFX8P23IuuEIXxPlGNxcvmFSV87o4NFDqMtHk6ADKOVdGKWopNhQyEhqYU\nEo80P05civPBVXdMKWK3Vmxikb2GA0NHeLrreWB+CtFaezUNBfWcHDuDxhKgocpBdZmRrmA7ldZy\nCk3jJ1saUcO2is3IYhzD0gNISFxbvX1KkNP5xGksoMJSRrO7laMjJ9AKGhoKFl+wx8+VG2qvxqDR\n80TH00STMURRYHmtk1FflGFPWClExQSBpI/SHEanqPbcY6PHWbO4kDFfdEpacyiS4H//ehKNRuD/\nvXMtlcXW9G1bGksRBNibSs9VE3MNghmzLnuAyWypn/C+PTsxdyJri1fxd2s/iFF77iv/FwOR9jak\nSCTn7ZOhILH+PoyLFiGIIrrCQqo/+3lsm7cQ7ezA9+LuSZfBX/wsq1Ka9PmQwmF0Wax3glaLobKK\nWE/3rNRW/75X8O3ehaGmlqJ33IauqJjyD3+Umi9+BdPyFYROHGfkTzMn3Y7uUVK/c0kYLbj6WgzV\n1fj27KbzS19g8IH7Sfp8OG98E8bFSwgdP0r0PKcwho4fQzQaKbj6GoApKmxiTClUtK6po1AMqXmi\n55JSHO3uwr/vZQw1tZhXriLa2UEsFUh0Ngn3GCST81KQCYKA6w03giTh3vnk9MfYeeELUVMqOTfS\n3jYnRTQXtIVFSKEgCa8Hz3PPorHasG+7fN7277zuBhAExp58Ysrvf3Ae+0NVCrZfxfJ//QyCVjvz\nxhPQV1SCLON7eW/G28PNzQSPHkFXVoYsy/T94LtZF7oiXZ3ExybnE8T6+5TRP1mCilQWwp4bHxlm\n9PHH0NjsVH/m8wh6Pe6dT05blMvJJMO//TWDD9yPoNejdToJnz71mpuPPBtkWWbggftJuN0U3nQL\npiUNU7YxL18BgnBBC1EpFmP4Vw+BKFL+IaVP9VwXMmRZJnTm9GvaVjpbkuHwpJTyuZBWRMsr0ing\nr+URLhdlIar2id5yYyEfu2mVMuMzHua5nhcBpiTmqpSZSwgnwvjj41+sbd4O2rwdrCpcnlFhFAWR\ndy27FQGBwdAwdr3tnGc/qqihQDs7X+Bf3rOet91oJSEnMx7HZRWbERAQTEFsOmvGIKfzzYrCpcSl\nBP3BQRYXLMKozW5JWyhseivXVF+BPxbghR5lFpraJ3qiw017v4/iUuWHbbr+UBXVnvvywAHWLlHs\nVmen5/5hdxu+YIy3bKtjSeX4yqQym1VPY52L1l4fg2Mh+tw+REOEQv38nshNfM8vmqYQfT0R7e6i\n6+t3MfTbX+V8n0i7YlWaGJwiGgyUf+TjLLrnv6i7+570xbb5UkgmiQ30Z9yX+sU+3bgHQ00tciKR\ndR9T9jk8xOAvfoaQOiZRNz4ayVhbR9WnPo2upBTvruenTQEFGNmzd0Zbroqg0VByx53KMQwOYN92\nGXVf/wbF77gN1xvfDID7ySdyeg5zITY4SHx4CPOKlenXRg1VUUn3iLoKp9xfvc+52PJG/qiovkW3\nvh3bps0ABLKcSKn27mxBRbPFtmkLWpcL764Xpj3xV4uOTKM3zhfaAidap4tIW+t4ITqPiiiM94mO\n/ukPSKEgjquvmdbyPFv0pWVY119CtKOd8AQVUZYkgk3H0TpdShG4wLje/BYEg4GRh3835X0gyzIj\nf/g9AGV3fpDyD30UKRKh99vfmhRGEu3rpff736Hrri/T9dWvTOo9TgcVzVCIwoW35w79+iHkWIzi\n296NvrQU+2WXkxgZwX8g82cwGQzS+71v4975JPryCmq+8CVsW7YiJxKEz5y+IMe8EHiefZrgkcOY\nVzSmv5vPRmO1YqiuIdLacsGK8rG//pn4yDDO62/Atmkz+ooKQseOnpM917d7Fz33/Aee55+dxyO9\nuBl5+Dd03/3VrItRuZBWRMvK0ZUo9cprObDooixEVUW0P6z8sWPJOP9z7Gf0Bvq5onLrpNEjE1H7\nRNXUUoCnO5UxAdOlz1bbKriqShn0vNS5eN76IhsLl1FuKeXA0GH8cR8nxpRZZ2syFKIuo5NVRUqQ\nwlXVly3I7M6VrvEgh4vNljuRa2u2Y9aa2Nn5PPFknBV1ioLy7MEeIrEkhSWKOjXT2BtQCtv1Javp\nDfRjcLnRiAKHJhSinQN+nj3YQ5nLzI2bx08OR8Nj3PXyvdx37EEuXak8zt7jA3T7lIIkUxDXuVBn\nr0ZAwKG3T+mPfr2i9kj59+3L+cc20q4UEKb6qWq+zuVCX1KSvqiWxGxKoFpc6suypx+rIzYiOSh1\nciLBwH0/RgqHKX3v+zOGnAhaLYU33QLJJKN//mPWfcX6+wh1ds1oy52IafESqj7zOWq/8jXK/vbD\n6eLAsmYt+rJyfK+8nLbHzjfBE4oqZV61Gq3ThWi1TknOTVtzMyiillWr0dhseF94bk7zRMOtLQSP\nHMbUsBTzytVY110CGk3GFX1ZlnHvVOx/9i2XzvqxMiFotTivuwE5Fst60iXLMtGuLnSlpTm/pvOF\nsb6epM9H6Mxp0GiyzkWdK+p7zbt7F4JeT8E1187r/gGcb3gjAGM7xhdUIh0dSIEA5lWrLoq8A52r\nkMK33Uwy4Gfk0d9Pui3UdILwmdNY1qzF1NCAbdNmSm6/g6TfR++3v0mko4PBBx+g88v/RvDIYfRV\n1ST9fnq+fW+6P0xN8M6WmDuRC2nPDRw+pHz+li3HdqmSieG8/kYQBNw7pqrYyUCA7m/cTejEcSxr\n1lL9+S+iLy1Lq9qqyv16I9LVycjDv0Vjs1H2wY9Ma682r1ihFOWpcL7zSWygH/eOJ9A6XRS+9WYA\nbBs3n5M9V5ZlPM89DYD/lZfn7VgvZuREAv9+ZSLG4C8enHPxGOvvR1NQgMZsTi+Uv5ZHuFyUhajL\n6MSiM9Pl6yEpJfnfEw/R4mlnfckablt6U9b7qQqYWogOhoY5OtJErb2aJQWZo+VV3lJ/A1dVXcb1\nNVfN2/MQBZFra65EkiWe6drF8dGTOPQ2qrMk8t60+E1sr9zKlami+EJTX1CHXqMkNV4M80OzYdKa\nuLR8I6FEmFZvB6VOE06bgd5hpX/MpI5uMee2qq8uUuzuf5HlNQV0DvoZ80WQJJkHnzyFLMMdNyxF\np1U+Lv5YgB8cvp/h8ChHR07gMZ3EoNfw0okBBkPKF0udc35Gt6gYtUZuW3oz71j6tnnd78VMKKV+\nydEIgcMHZ9haIZKyvBjrp/+8w/jYiVhvb8bb1Tld06ViqhZKtbdPJdzcTPe9/0nX1+9KXzq/8kUi\n7W3Ytm7Dvi37Z9y2aTP6yip8L+0l2pf52GZKy82GeekyDGeNBRFEEecbboRkEs8zT824D1mS8O17\nmd4ffDdnJXji+AxBEDDW1BIfHp7U85kYG0U0mzMGyoh6PQXXXo8UDuPdNbv0X1mW0yf9hbe8HUEQ\n0FitmFc0ZrTnhpvPEGlrw7Ju/aTZseeKY/uViCYTnmeeRopPnT2bGB1BCgUxVF84W66KqjgnPR50\nRUXz0rs5Ea0a9iXL2C+7HK3NPq/7B2WhxdSwdJLNPHRi/m2554rz2uvRV1Ti3fU84VYll2LSe/Tm\nW9PbFlx9LYVvu5n4yDBdX/sK3l0voC8vp+KTn6L2y3dRePOtJEZH6fn2t0gGgxMU0cxhkBNJ23NP\nnTyv9lwpGmXoV78EjYaS974/vSCgLynBumEj0a5OwqdOjm8fidD7vf8i1tdLwTXXUvH3/y+9MGNa\n0oBgML4uC1E5kVAC7BIJyj744RlD0MwrlByImey5cbcb757d9N/3YwZ/8fNZJ8jLsszQQ79ETiQo\nfvft6e9n6zkuZETaWtMJz5HWlik289cjoZNNSKEg+soq5GiE/vt+NOsQRSkSITE2ml4g11itiFZr\nXhGdbwRBoMZWxUhkjAeafs2xkSaWOxu4s/Hd0/ZNqgrYQEg5sXimaxcyMtfVXDnjaqhRa+SdS2/K\nqrbOlU2l63Do7Tzfs4dgPMSqosasz6HcUsq7lt2ipAYvADpRy/bKrWkl92JmZaGi3p4YPYUgCGl7\nLoCkV5KJc1FEQennXVqwmFPuZtQpHUdaRth1pI/2fj9bGktpTKmu4USEHx75KUPhEa6s2kaBwcGO\nrp0sXyEz4o0wGFKsbTX2+X0fAWyv2npB03BDZ04v2KyyZChIuLUlnaDq27tnxvvIskykvQ2tqxCt\nY2bVWJ3TqA6AP5tcFFFDVTUIwqTexUhXJ73f+y/Cp08R7elOX+KjI5iWLqP0ve+b9rgEUaTolreD\nLDOaoVdUliQlLVeny8mWmwu2S7ehcTjwvvA8yVAo63ahk010ff0uBu77McHDhxh74q8z7luKxwid\nOom+oiKtjKUL+AmBRYmxsYy2XJWCq65R+sqefnJWP96hk02ET5/CvGrNpBEjahEfSK1Qq6gWZdcb\n3pTzY+SCaDThuPJqkn4fvr1TbVnqSJsLmZirYpzgIJjv/lAAXWGqEBUERQk7T6iqqPoaBo8dBVFM\nh7tcDAhaLSV3vB+AoV8+iJxMEjh4gGhnB7ZNm6ckELveehPON7wRXUkppe//ALVf/irWteuU3uM3\nv5WCa64j1ttD7/e+TbS7C11xCaIxN0XdtmETJJPn1Z47+uc/kRgbxfWGN2KomPy76Eqr2Mr3iJxI\n0PejHxBpa8O+9TKK3/3eSYsiglaLubGR+OBA1v7u1yrR7i7igwPYt16GZdXMv/OmhqWg0WT8jU4G\nAgz/7jd0fOkLtP/LPzL4wE/x73sZ7wvPpRcFc8X/6iuETp7AvGoN1kvGW8YMFZVpe+5cXCreF54D\nwLpBSc4OHNg/3eavC9SivfSOO7FfdoUSFPjIw7Pah2rFn7hIqi8pJT4yvCDjfOaDi7IQhXF77qGh\no9TYqvjw6vehE6cPBlAVsMHgEL6Yn1cGDlBkKmRd8arzfrzZ0Iparq6+HBllFSqTLfdi4pYlb+bv\n1n7worAxTcdiRx16UUfT2BlgfIyLTiviS45h1Bhx6HNfdb8uNSpnRK8kLO45PsAjL7RiMmh41zVK\neFU8Gee+Yw/S7e9lW/km3tlwE3/T+G5kWabf8iJo4mBUiuD5Ssw9X8SHh6cNCJCiUXq/+1/0fOse\nRh79/QUPEwg1NYEk4bh8O8b6ekJNJ0h4pp/xmhgZIen356SGAmhtdjR2e3Zr7uAAotWKxmrNeDso\n/af6snKi3V3IkkRsaIje73wLKRKh7MMfo+FHP5l0qf7M53I6SbSsXYexfjGBA/snRfRLkTB9//19\nYr09uDZtnDcLp6jT4bz2eqRIBO+u56fcHu3ppuc7yvsh2tmBbfOlaF0uAgdendE2HT5zBjkWw7Jy\nXJUynlWIJkMhpEgkoy1XRWO14rh8O4mxsRlHr6hMVJqKbn37pNvG7bnj+4r29RE8chjj4iWYGqaG\nhJwrzuuuR9BqcT+1Y8pnSp1Ha6itm/fHnQljbR2kTvjPRyGqLy1D0Ouxbb4Ufcn5+26caDOPdncT\naW/DtHgJGrPlvD3mXDAvXYZ92+VEu7vwPPM0o398FESRwptunbKtIAgUv/NdLLr7Gzi2XzkpwVsQ\nBIrffTu2zZcq/YLBYE62XJXzbc/1vfIS7h1/RVtYiOvNb51yu3FRPaalywidOE6kq5OB/70/bcct\nvfMDGZV5Vd2ebUF1saOqg6aGpTltLxoMmBYvIdrVOUnRliWJ/p/8GPdTO4iPDGNetZri295D+cf/\nDoCxWWQBJEMhhn/7awSdjpL33jHlvNC6YRNyIjHrUUPJQAD/q/vQlZRScvsdIAgXPMH5QiMnEgQO\nHUTrdGJcvJiS2+9AV1aGe+eTBI4eyXk/sQGlZdFQPr5Ari8tg2SS+Mj0qewXKxdvIWpXvkxLzEV8\nYu3f5pQCatQaKTA4GAgN8UL3HhJS4oKnz2bi8sotGDUG9Br9vCTy5gGdRsdS52IGgoOMRdysqFVO\nYOvKLAyHRymzlMyqmG50LaPCUsZx93EqywXa+nwEIwluuaKeAqsBSZb4WdNvOONuYW3RSt697FYE\nQaDBuZg3LroOf8LH/2/vvMOcKrM//rnpyWR6YyrdAIOIFBFQ6dgrKCKLBV17W+uu6+raVl37quvP\n3hV7X5EmgkhRFIEZuHSY3ntmUu/vj5uEGSbTa/D9PA/PM+S29+YkN+95zznfE3ZUFpK5Bp3X3KWK\nuV1N/cED7LvrDnI+br5lR+22LSgOB2g0lP3va/Kee6ZHe4Y1VLqMmDhZVZrcsK7FY+r2+dJyB7bN\nEQUwpqThLi1tcm+K242ruLhFoaLAOdLT1Z5ue3aT+9RjeKqqiJ+/oFP1hZIkEXfeXABKPvsEUIWO\nDv7rQWo3/4Z52HAGX3NVh88fjMip05CMJsqXLw1EHF1lZRS8/ioH7rsH+7YtmIcNJ/3ue0m68moi\nJk7GW19PzebfWjyvf8LYsH2GPyJa73O+Aoq50c07ogDRs09WP5NB1FGDUbV2DY79+7COaxppCpae\nW75UnaT5I2tdjS4qmvDjJ+IqLKBsY+OJl98pN/ZCRFRjNGJMURd/u8MR1VqtDHjwERIvXdTl525I\nwzTz/Bf/C4qCJaP3FqJbIu78C9BYwij+aDHO/DwiJp3QYhlAc0gaDf0WXRG4z/YoLndnem7tti0U\nvPYKGrOZlOtvblacKvoUNfMg98nHqd64HtOQoSRddW2zisRhvvs80tJzHTm+7387FhIsw0eAojRq\n81P+3RLsmduwjBzF4GeeI/XmW4mefTLhY8djGZFB3Y7tbe4/WvrFZ3gqK4k57QwMQYTbwsepom/t\ndSKr1q1FcbmInDIVXWQUZtuwIz49175DTcu1jh2HpNEERBQlnY7C115pcx/Qhoq5fgItXIpCMz23\nzzqiGbHDuOCoc7jp2KsINzQfkTicfpYEKhyV/JD7E1Z9GMcndb5hdmcx68xcc8wirj760l4RITpS\nGe4TVNpeupPocCM3zDma06fG41E8ba4P9SNJEjPST8KreLH2VyNk6YlWpo1Jwelx8WbWYjYXb2Vo\n1CAuy7gIrebQqvSpA2YwJGog3vB8NMZ6IrQtT6Z7m7odO0BRKFy2vNlIZ/XP6g9L6l9uwzIig9ot\nv5P9rwd6pA5BURTsmVvRWsMx9h9A+PgJoNVSta5llTl/fah5UNsXe/zpuc7DajGdRUXg9WJIar3W\n1z/xy33mSVzFxWoq3fSZbR5Dc1iGDccyPAN75jZKv/mKgw/ep9ZNzZhF6l9uQx8R3ulrNERrCSPy\npCl4KiqoWLWS4k8+Yv/f76Rq7RoMySmk3HQLqbfegWnAQAAiJk4C1ElFS9RmbkUyGDAfdWilX5+Q\ngGQ0BZyvgFBRbPOpuaA6SeHjxuPMyQ7UEDeHIy+PovfeQWM2Ez/3/KD7NEzPdVdUUL1+HfrExHb3\nh2wP0bNVJ3fPCy9R+O5b1Py2CY/dTv3BA+iiY7qlfrIt+DMJulox148+JqaRSnR34U8z96fWtyXN\nsTfQhUcQN2cuKIoqUnZm8/oXrSHpdCRfewMJCxYSNXV6u44NpOcG6cHaUer27Cbvv88haTQk33Bz\ni85V2NGjMCSn4KmpxpCSSsoNzTutoD4DDP2SsO/Yjtfl6rIx9zaOnByQpHapO1uG+fqJ7lDTc+v2\n7qHk80/QRkbR7/Ir0OgNjfYPJujVHPUHD1Cxcjn6xMTAYsHhGFPan56rKAoVP3yPpNMR6WvhFHgO\n93J6rqIo1Py2iQP338v+f9xF0fvvUrNlc7tayDWHf04VPva4wGum9P7EX3AhnppqDv7rAQrffZua\nzb+1uOjfsIeon862cHFXV7H/n/+gqpdEo/qsI6rVaAM1eO3Br5xb567npNRJGPqI4zckaiC2GBEN\n7Ur8gkqZZaqU+7FD41GM6qpuW+tDGzIucbQaUUdm5BArl58+gmpXNU//+n/8UriZgRH9uWrUJU0W\nEzSShktHzMesVdMkh8S2LhTRm9QfUFdDHUXF1O3a2WS71+Ggdstm9PEJmIcNJ+WmW4iadTLO/DwO\nPnS/qqzZjTjzcnGXl2PJyEDSaNBarVhHjcaZk92k5UdD6vfuBa0WY/+2RwT8oh5+tUk/rkLfqmNi\n646oP9Lmra8ncup0Ys86p83Xb43Yc9V00tLPPsFbX0/ixZeRMH9Bo/S8riR65mzQaChe/B7l336D\n1mol8bLL6X/v/YQdPapRloGhwnQ2LwAAIABJREFUXxKmgYOwZ25rNm3aVVqKMy8Pi21Yo0mRpNFg\nSk/HmZ+H1+E41LqllYgoNK0DDIbX5VSFIJxOEi9Z1GyUr2F6bvmKZShuN9GzT+lysZ6GGJOTiT3r\nHLxOJ5XfryTv+WfZc/P1eCoqeiUa6idq6gysY8dhGZHRa2PoCvxp5gDa8IhefU9bI/LEKUROmUr8\nvPmtLsK0hsZoJGrajBZLCYIRftwEkCQq1/zQqev7ceTmkvvMUyhuN0lXXduoLjsYkiSRuPASwo87\nntS/3Io2rPU0asvIo1EcDuqDKMZW/riaih9WdXT4vYKiKGp9b2Jiu9oamQYORDKa1H6wdjv5L70A\nXi9Jf74q6IKWZUQGxrR0ajb93GKNreL1UvTOm6AoJFy0sMUFpEPpuW1LL62Td+AqKMA6bjzacHUx\n1TpmXKfTc6s3/ULJZ590uE6ybs9ush/9F3nPPxvQdKhYsYy8/zzN7puuI/vxR3Hk5bV4jvIVy4J+\njw5Py21I5LQZRM06GU+tncrvV5D33DPsufl6sv/9MI4gQorO/Hw0ZjPaBjoY/ohoRwMFNb9uwpmT\nTdVPP3bo+M7SZx3RjuJXztVr9ExJmdTLoxF0JwmWOOLNschlu/B41YdPYa0qFtSWHqKH46/ndXqd\njBhXg9tYxr9//g8HqrOZ0G8sNx17JWZd8Jq8aFMUl2ZciEFrYGxy364Drt+/P/B3sChj7bYtKE4n\n4eOPQ5IktQflvPkkXno5Xkc9ec8+3WyT9a6gdusWoLHSZbg/+taMaJHiduM4eABjSioagyHoPsHw\npyM6D6sTdbZBMTdwjgED0UZEEH78RBIualpH0xnMgwYRMflEdNExpN12J5EnNd+GqivQx8YSNXUa\nGksYcefNZcBDjxI5+cRmHbOIiZNaTJsOtG05umlUypiWDoqCIzcHd6kvNbeFGlE/pv4DMA8bjn17\nFvUH9gfdp/jDD3DmZBM5ZWqLysIN03MrVi5HGx6hpoJ3M7FnncNxb79O2p1/J+bMs9Uos1ZL2KjR\n3X7t5jCmpZF8zfVoLX23rKCtRE6Zhi4mhohJk7p1UaGzSBoNiQsvJWpa17ezaSv62FjCjh5F/b69\nzX6f2oqrtJTcpx/Ha68l8ZJFbc4sMA89iqQrr25z26BDbVy2NHq9ZvNvFL7xGkVvv9HtC6Zdibus\nFG9dHcbU9i2aSDodlqOOwlVQQP4Lz+MuKSHm9DOwDBsefH9JIvqUU0FRKF/6XbPnrVyzmvq9ewkf\nf1wgFbo5DqXntq1uv2KVKlIUNeVQ5F4XEdHh9FzF66X44w/Jf+E5yr75qt39OV0lxeS98BzZDz9I\n/e5dhI0+lv7/fJDBzzxP6m13EnPaGRiTU6jbsZ2KlcubPY/Hbqd48XsUvvVGk37XgbTcMeOaPI8k\nSSJh3nyGPPMcqXf8jZgzzsTUvz91O2WK3n2r8b263TiLCjEkJTVeFPb1Eg3WwsVjt1OzZXOLpSy1\nvvKa+r17elwPBI5ARzQ9Qk1rmJR8HFZD3xIoEHQ9I2Jt1Hsc7K1UHSO/YnJHIqIAk5MnYNKaWH7w\nB57+7f+octZw3pAzWDj8glbTqkfGDeeJk+5nZFzwH4G+gMdux1VYgHnYcAxxcdT8shGvs3ErCX8K\nifWwCXzkCSfSb9GfVXn9p59Q01e7AX/tj2XEoR/AsKNHoQkLo2rj+qArno7sgyhudyP1z7ZgSE5R\nVW874YhqzWYGPf40SVdc1S2T3sRLFzHw30+0WcSis8TP/xODn3mOmNPOaNWpby1t2r7VV+ub0bR9\nhj9y7Th4AFe5v4do26JCMb5UsWBR0epfN1H5/QoMKanEz7uo1XP5HVXF4SBqxsx2LWR0Bo1Oh3no\nUOLOPpf0u/7B0BdeJmrK1B659pGONiyMgY8+Qfz5F/b2UEKCyKnTAKjsZCSxePF7uMvLiZt7AZGT\nT+iCkQXHbLMhGQzUbjs04Vfr2V9Ra0sliaJ33253a4zewi9U1J76UD9+RWj79kxMQ4YG+nw2R/jY\n8ehiYqlauwZPdXWT7e7qKko++QiNyUT8vPmtXr896bnuykpqftuEISUV05DGGYLhY9ufnuuurSXv\n2acpX/I/9AmJSDodpV9+3uaUbfuO7Rx44J/UbPoF06DBpN15FynX34QxORmNXo9l2HDizptL+t/v\nCUSem6NupwyKAopCwasv4a6sDGw71G7tuOYO9y0q2Ig7Zw7pd92DJWMkdTtl6vbuDezjKikGjwdD\nv8bq0xqTCW1kFM4gNaLFH75P3n+eDrSyOhxvfX3gvrx1dc22s+tOjjhHdEBEOreMuZbzhpze20MR\n9AD+9NwsX3puQW0ROklLrKljdZpmnYkTUiZQ565Dr9Fx7TGLmJF+UpujXL0tjNUaDl8k0zRgIAlT\nT/KJzRzq0dkwLdeY1nR1NmLC8cTPX4Cnqorcpx5rVcm2vXjr66nbtRNj/wHoIg+l5Wv0esKPm4Cn\nshL79swmx9XtUx/W5nY6ohqjEX1cPI7cnEYrhs6CfNBo0AcRaAhGd0ZdJEnqURXr9lxPGx5O2Khj\ngqZNO/LyqM3ahj4+HkNi03ZQh5RzD+AuKwNJQhfdtoiIJWMkhtQ0qjduYP89f6do8XvUbt2CMz+P\nwjdeRTIYSLrymjY5lf70XMlgaHd9XVfSlyN3oUhfV37vS4SNHIUuNpaqDes6LErnLCigZvOvGAcM\n7DaxLz8avQHzUcNw5ubgKitD8XopeOVFvLW1xM+7iMgTp+DMzaF8xbJuHUdXEej/2glHVGOxkPTn\nq1st25B0OqJnzUZxOqlYtbLJ9pKPPsRrryX2nPPaHKH2p+dWrmm5x3PV2jXg8RA1dVpTBd4xY9uV\nnussLGDLHX+jdusWLBkjSf/7PUROm4G7tLTVNHNFUahYuZycJx/DW19PwsJLSPvb3c0u9gYiz4UF\nAT2Dw/E7c9YxY/FUVVHw2ssoXq+alvtr8LTclji02HqoRdqh+tCm7QENiYm4S0sb9aj21NZS7av7\nbC6brDZzG4rbHej1XLenabp7d3NE/vINjhqArpVWL4Ijg6HRg9FJWrJKZRRFodBeRLwlrpGYUHs5\nZcB0Ths4i9vH3cCI2JbrW0INv1qeacBA4qeqaZ4NexoenpYbjOjpM4k582xcxcXkPP0EHnttl43P\nvmM7eDxBG9D7UyaD9mD0CRW1tXVLQwypqXhravBUHVrBdBYWoI+Pb1a5UXCIgF0aREVdpaXkPvU4\nisPRbM2sISkZSaej/uBB3GWlaCMi2vx+S5JE0uV/xjLyaFwlxVQsX0ruM0+y/x934bXbib/wIowp\nbRP90Fqt9LvscpL+fHW76+sEgiMBSaMh8qSpKA4H1e1MbfRTvnQJKAoxp5zWI4sAgTYumVsp+/pL\n6nbKWI8dS+TUacSdNxetNZzSLz8PCSVWfy/r9qbmAhhS04g7fx4pN/ylzXXGkSdOQWOxULFiuVqj\nX1lJ1fqfyH/1Jap++hFjWnq70sWjpkxDY7VS8slHzeo4eOx2KlZ9j2Q0En5807I5XWRkm9NzazO3\ncfCh+6nLySV61smk3PgXtGFhxJx2OpLRRNnXXzbbVkxxuyl6+02K3nsHbVgYabfdSdSUpo7x4RyK\nPAePitq3ZyEZDPT781VYRo7CnrmN8qVLWkzLbQnzsOEY0/ur9Zu+7LNDirlNtSv0iYmgKLiKiwOv\n+dWJAWp++zVoj/Da39W03LizzwWgLkjddXdzRDqigj8ORq2BIVGDyKnJ42B1DvUeR4fqQxti1pk5\nfeCsdivvhgL++lDTgAFY0lJV6f7Mrbgr1chmzS/B03IPJ/asc4icOh1nTjZ5zz7TZeqF/prCYI6o\naeAg9In9VJXRw1KK6vftRWOxoE9oGnlrDb/D4hcs8tTU4K2paVPrFkGDtOkN61A8HjzV1eQ89Rju\n8jLi5lzQbM2lpNNhSEnFmZONu7y8TUJFDTGmpZN6861qi4Jb7yD6lNMwDhhI5LQZRJ7YvlraiOMn\nYT12TLuOEQiOJCJPOBG0WipWfR+0nqxqw7pA/f7huCsrqfrpR/TxCWpkqwfw/0aUL/uO0q++QBcT\nS+Kli5AkCa3VStz5F6A4HBQvfq/d5/Y6HNRu3ULJpx9T8cP3jSb33YEjOxtNWFibM0IaIkkSMSef\n2q6+xxqTiaip0/HUVLP/H3ex99abKHjlJarX/YQ2KorESxa1SxBPFxVFv8uuQHG7yX/xhSZOoNfl\nJO+5Z3CXlaqCWs30v24tPVfx1bbmPv0EitPJ0JuuJ37e/MBYdeERRM+ajaeqioog0XB3VRU5T/yb\nytWrMKalk373P9tc8hJwRHc0dUTdlRU483IxDz0Kjd5Av0VXoI2MpOSzTyj96kv13lqZUx2OJElq\nZoGiUL5sCQCOIIq5fvzzFX+dqKIoVK5S1YmjZs5Gcbmo2dQ42qx4vdRs+R1tVBThEyaiCQujfvfu\ndo2zKxCOqCDkGR6rPki+z1ZTDzpaH/pHwHFgHxqrFV2smoYRMUnt0Vm9YQNeh4Oa35tPy22IJEkk\nXPQnrGPHUbdrZ4sKpm1FURTsW7eiMZuD1npKkkTkSVNQXC4OPvxgQMHOU1ODq7AQ08BBHUpvNKao\n6VB+wSJ/2wdDv9YVcwW+tOnxatp0zW+byHnmSVwFBUSffAoxpwaX/fdjTE9HcbtR3O4Oq4Zq9AYs\nw0cQP/cC+t99L4kLFoq0TIGgnegio7AeOwZnbg71expPRsuXL6Xg5RfJfe6ZRjVrfipWLvcpTp/c\nYynm+sRE9HHxOPPyQJLUjIYGirsREydjHnoUNb9uomZL64qurrIyyv73NdmPP8qem64j95knKfvf\n1xS9/Sb7/nY7+/52B4XvvEXN5t+6VNDFW1+Pq7gIY1p6jz63ombMRGM246mqxDJ8BHFzLiD9nvsY\n9O8nMQ0Y0O7zWY8ZTdTM2TgL8il6/53A64rHQ/5L/6dGrMeOC/THDnoOf3ruxg2NUkwBvC4Xha+/\nSvGH76ONiCD19r+SMH1ak3NEzz4FjSWMsiX/a5StVX/wAAcfvI+6XTuxjhtP2l//3q7fHENKKlpr\nOPbtWU0Wauw7tgOH2unoIiJIuuIq8Hqp37MbbVQUpsHt75oRPm68mjK/9kfc1VU48/ORdLqgKvCG\nw5Rz6+QdOAvysY4dR/Ss2UBTccq63bvw1tRgPWY0kkaDefAQXCXFXV5y1RrCERWEPP460U1Fm4GO\nKeb+EfDU1OAqLsY0YGDgBy8iIDaztk1puQ2RNBoSL1mENiKCsm++6vSqsauwEFdJMZYRGc2uxkbP\nOpnoU0/HVVRI9sMPULPld+p99aGmge1PywX1BwYISKX7hYr0HWgu/0fF31M0/+UXcezfR8SkycTN\nndfqcab0AYG/2xsRFQgEXUvUFHVi37B2sGr9TxQvfg+N1QpeLwUvvdAoxc9bX0/F9yvRWsOJmNR9\nAkWHI0lSQI079qxzmkQEJY2GhAUL1XZU77/TRJSvIZ66OrIffoCSTz+mbsd2DMkpRJ9yGik330LC\ngosJO3YMnppqKletJO+5Zzhw3z3q72ULSqRtxZGbA4qCMbX99aGdQRcZxcBHHlfVYW+9g5hTT8OU\n3r9TCwlxc87HmN6fqh/XULVhvVou9fab1P72K+Zhw+nXiqCfLjISy7Dh1O/by56brifn6ScoX/od\ndbt2kfPYI2ra8ICBaiSzGcdOa7EQc+rpeO12yr9TI4nVv/xM9iMP4S4rJfac80i66tp2tckB9fNk\nHjYcT0UFLt9itR9/uq4/aur/O+ZUVasmfNz4Dr2vklZL9KxT1HrelStwFeSjT+wXdH6kP6yXaOUP\nPnXiqdPRx8Zhtg2jbqesCh758KflWker2UDmIep3qKfrREUBlCDkSQpLJNoYRblDXcVJFBHRoPil\n+RuudmrDwwk7ehS1m3+j7OuvgNbTchuitViInzefgpdfpOj9d0i+4eZmnVivw4Fd3oE9axv2rEyc\nhYWYBw/BMiKDsIyR1O1SH37B0nL9SBoN8XPOx5iaRuEbr5L37NOBH/D2Kub6MSQkIOl0AeVcERFt\nP6ZBg9EnJuIqLCTsmNFqalcbFjMa9njUt6F1i0Ag6D7Mw4ar5Q+//Ixn3kXU799HweuvojGbSbv1\nTqp/3uCLEr5BvyuvQZIkKn9co4rbnHVOuyf3nSXu7HOx2IY1mw5sTE0jetZsyr9bQumXnxM/94Kg\n+5V++Tnu8nKips8g5oyz0UU07sEZNW06isdD/b69VK5eRdW6n8h9+kk1kjj3Akz9BzQ7RmdRESWf\nfox9RxZpt93ZxOHsjFBRZ2lLz9b2oNHrSbrqGg7c/0+1hc6OLKp+XI2x/wBSrr+xxX6kfvpd/mfK\nv1tCbVYm9m1bsW87pPYaPuF4Ei9Z1KoIXdT0GZQv/47yZd+huFyUL12CZDSRfN2NnSrBsAwfQc0v\nG7FvzwoIBimKgn17FhpLWJOexbFnn4sxLR1LRsd7M0eecCKlX35O+dIlKA5Hs0r++vh4kCRchYW4\nKyup/nUThuQUTD7nMmLiZOrkHVStX0fsGWcBULN5M5LRiHnYMIDAvnW7dwfSpHsC4YgKQh5JkhgR\nexRr8zYiIR2RtZ1dQUCoqP/ARq9HTJxE7ebf1IbabUjLPZzw446ncs1qarf8Tu3mX7Ee23hS4Cwu\nouidtwJCRACSwYChXxJ1u3ZSt1Om9PNPA/tbgrT6OJyICcdjSEwk7/n/BH7IzR2MiEo6HYakJJx5\nuSher3BEO4AkScTPm49921bi5s5rc32RMTUNJAkUBV0bW7cIBILuQZIkoqZMo/jD9yla/B41v21C\n0mhIufEvGNPSMCQlYZd3UP3zRiwjMoiYdALly5aoitO90AtVa7W2WnsXe+Y51Pz6K+XffYtl+Igm\nfTEd2QepWLEMfXwCcefPQ6MP7uRIWi3mIUMxDxlK9KxTKP7kI+zbtnDwgX8SdsxowkaNJiwjI5A2\n6a6uouzrr9Tosu93r+KH70lccPFh1/cLFfW8I9odGBL7kfiniyl49SWq1qxGn9iPlJtvQWMKXhd6\nOLqoaOLnzScecJWXY8/KpG6njGnAQCKDqO0GQ2M0EnvGWRS9+zblS5egj4sn+YabAn3DO8ohwaLt\nRE2fCYCruBh3aSnWMWOb9gjVagkf33zLlragMZmImjadsm/UQEEwxVxQS1R0sbE4CwsD6sQN3y/r\n2HEUvfc2VevWEnP6maoCcGEB1jFjA595U/8BoNVSLyKiAkH7GRFjY23eRmJMURi0PdMHMNRw+ISK\njAMaO6Jho0ajsVjw2u1tTsttiCRJJC5YyP5//oOi99/FMjwDjckEqLUTeS88h7e2FmN6fywZIwnL\nGIlp8BA0ej2emhrs27OozdqGfXsWxtS0NkfGTAMGkn73veS//CKSVos2PLxd426IISUVR3Y2ruJi\nXAUFaCyWTp3vj4h11Giso0a36xiN0ehbBMhDJyKiAkGvEzFpMiWffkT1hnWg0ZB83Y0BQRdJpyPp\nyqs5cN89FL3/Lq7SUtylpUROm95nn5cak4mkq67h4MMPUvDqS/S/94FAazDF66XwnbfA6yVhwcJm\nndDDMaalkXrzLdi3Z1H88YfU/r6Z2t/V0iB9YiKmgYOo/X0z3ro69PHxxJ47h+IP3qd64wbiL5jf\nKDLoyMkGjQZDcnAHIxSJmDiJ+gP7sW/PIuXGm9GFR7R+UBD00dFETj6hQz1pI0+cQvXGDWjMZvot\n+nOXKKLr4+PRxcZil7ejeL1IGk3QtNyuJmr6TMq/+xbF7W7WEQUwJCRiz8qk4vsVSAYDEQ3UibVm\nM9Zjx1C9YT31e/dQt2snAGHHHBvYR2M0YkrvT/2BA3idzh7rqS0cUcERgS1mCCatiQER7Zc//6NQ\nf2Af2shIdFFRjV7X6PVETJpMxYrlhB83oUPnNiQlE3PKaZR98xWlX39J3Jzzqfx+BUWL3wNJIuHi\nS4k6aWqT47RWK+Hjj+vwqqEuMoq02+7s0LENMaakUg04sg/gLC7C1L+/ELzpIcy2YbhKSjB0QPFY\nIBB0LVqrlYhJJ1C5ehWJlyzCekzjxSV9bByJl1xG/gvPU/b1lyBJRM86pZdG2zZMAwYSP+d8ij9c\nTMFrL5Ny0y0AVP24hvo9u7GOG99iSUhzWIaPIP3ue3EVFWHP2kZt5jbqdmynev06tNZw4ucvUFuD\n6HQ49u+nfOkSarduIdyXSqx4vThysjH0S2qzExwqJFx4Ua9eX9LpSLvzrq49pyRhGT6Cqh/X4Dh4\nANOAgT3iiOoiI4k4cQqVq1a2KCSlT+wHWZm4y8uJOPEktBZLo+0REydRvWE9Vet/UiPxkoR11DGN\n9jENGUr9vr3U79+H5aieaV8oHFHBEYFZZ+buCbdg0pl6eyh9EndlJe6yMsJGHRPUwYqbcwFRU2c0\nW3/QFmJOO4OqDesoX/YdrpISan7ZiDY8nORrb2izRHpv4Rcsqvl9M3g8GBJFWm5PET93HjGnnCZ6\neAoEfYSEBQuJOf0M9D519cMJHzse+5RpVP7wPdax4zAk9H1dhqiZs9Xsm61bKF+6hOizT6X4kw+R\njCbi53XcaZIkCUNiIobERKKmzUBxu3Hk5WJISGiUjhoxcTLlS5dQtW5twBF1FRejOBy9Uh8q6Bh+\nR9S+PQtjen/qdmxHFx0dEAvqLhLmzSd6xswW28r5lXMBoqZMb7LdMjwDbWQk1evX4a2vxzxkaJNM\nBvPgIVQs+4763bt6zBEVqrmCI4ZoUxRm4YgG5ZBQ0cCg2zV6faecUFDTOhLm/wk8Hmp+2djuPl29\niTFVdURrN6sqckIxt+fQGI3NTngFAkHPI2m1rX4n4y+cT/wF8zvlxPUkkkZD4qIr0EZGUfLZJ8j/\nfgJvbS1xZ5+LvgP9O5u9jk6HKb1/k5pIY1oaxrQ0arf8jqemBvCl5QLGVJHJFSr4W7TYt2fhzM3B\nU1ONZdiIbs+gknS6VnUr/E6qccDAoJFTSaslYsJEvHV1oCiEjT62yT4B5dzdjetEFa+XgjdeI//F\n/3Zp+yIQjqhA8IfA4XNEjR3oD9YerMeMJvrU04mcOr3dfbp6E110DBqzWX1AQ6edcoFAIDiS0egN\nRM8+uUuduO5GFx5B0hVXgtdL5dZtGFLTiJoxs8euH378JPB4qP55A9DAERUR0ZBBFxmJISWVut27\nqN26BejetNz2YB56FGGjj21WHRrUyLwf6zFNHVFdVBT6uHjq9uxu1J6ofOkSqn5cTfXPG6lc80OX\njls4on0cZ2FBQBVUIOgozSnmdgfxc84n8U8X97iUf2eQJCmQngtCMVcgEAiORCzDRxB7znlow8JI\nXHhJmxW+u4KICRNBkqhatxbo3dYtgo5jGT4cxemkfNlSAMx9xBHVmEykXH8TlmHDm93HmJaG2TYM\n0+AhzS64mwYPwVtbG+iXWrd3DyWffYI2MhKN2UzJJx/jrqrqunF32ZkEXY7i9ZLz1OMcfOj+gMS3\nQEXxeltsUC1oTP3+/ehiYgJqgYKmBKTdJQl9CNQ8CQQCgaD9xJ5+Jse99RrmwUN69Lq6qCgsGSOp\n37sXZ0E+jpxstOER6CKjWj9Y0Gfwp+d6qqvQ9+sXUlkBAKm33tGikFPD9FyP3U7BS/8HXi9JV1xF\n7Nnn4bXXUvLxB102HuGI9mHqdsq4S0pQ3G7yX3oBr8PR20PqMxS+/iq7r7uKgw8/SMkXn1G3exeK\nr1eXoDGu8nI8lRU9Eg0NZYwpKYCqCnmkKRgKBAKB4BAaXe9odfpTIytWLsddUiKioSGI2TYMfD1D\n+0pabnuQNJomPU8bYh6iLtDU7d5N0dtv4CopJua0M7AMH0HUtOkY0/tT9dNa7DvlLhnPEeeIuisr\nyXnysYCkcihTte4nAMxH2XDm51G0+N1eHlHfwFlYQNX6n9CYTNTv20vZV1+Q/chD7Ln5espXLu/t\n4fU5HL603O6uDw11DL6G4kKoSCAQCATdgXX0sWhMJip+WAWAMVU4oqGG1mwOCD/6o6NHEoaUVDRm\nM9Ub1lH980ZMg4cQe9Y5gCp4lPCni0GSKHrnLRS3O3Cc1+mk7H9fk/3ovyha/B61W7e0KYDWa45o\n7hdfBpTDupLypUuwZ2VS+M5bIR0h8zocVP/yM7qYWFJuvlVdgVizmuqNG5rsW3/wAGXffoO3vr4X\nRtrzlC/9DhSFxIsvY/DTz5F83Q1ETpsOWi3FH7yPIze32WPr9++jfPlSvPV1PTjiQyiKorY4Wbkc\nZ0F+o2Lw7qL+gK8+tBnFXIGKqf8AzMOGq3U8AoFAIBB0MRqjEevY8eCbn4qIaGgSNX0GpiFDCcvI\n6O2hdDmSRoNp0GAUtxuNxULSlVc3qqU2DxpM5ElTcOblUr58KYrXS+WPa9j/979S8unH1O3aScXy\npeQ+8yR7brqO7McfbfF6vdZHdP9rb6KxfETM6WcSNX1Gl6TCeex2KlevAsBVWEDVurVEnnBSp8/b\nG9Rs/g3FUU/EzFloDAaSrryGAw/cS+Hbb2AcOBBDfAKukmJKPvuU6g3rALBnZZF8481o9PoeHaui\nKLiKikCSur2fmLuqiqq1a9DHxWMdMxZJq8V67Fisx44lbOQo8p59mqJ33yL19r82kdN2lZWR8/QT\neGtqKPvma2LPOpvIE6cg9VCKjtfhoPCNV6n+eSMAxYAuJhbLiAzCRh6t3k8L6RJtuobLSf3u3Y0W\nYezbtwOqoyVoHo3RSNptd/b2MAQCgUBwBBMxcRJVa9cAonVLqBJx/CQijp/U28PoNsIyjsaelUni\nJYuCtnKKO3cuNb9uovTLz6la9xPO3BwkvZ6Y084gauZsnLk51GZlYs/cRt2O7S1eq9cc0QGXXcLB\nDz6m5KMPqFixnLhzzyN8wsROTcQrV6/CW1dH5LQZVP24mtIvPyd8wsQed8y6Ar+qWsRE9YNu6NeP\nxAUXU/Day+S/+AKWo2ybRUejAAATX0lEQVRUrFyO4nZjTO+PNiwM+/ZMCl59WV296KRD05BgUTt3\nTQ3Vm37GnplJbdY23CUlAIQfdzxx585BHx/fZddviP+eo2ef3ETtznrMaMKOHUPtb79Svf6nRjLV\nitdLwSsv4q2pwTpmLLWZmRS9+zbly5cSd95crGPGdWsfKFdZKXnP/QfHwQOYhgwlYuJk7NuzsG/P\npOrH1VT9uJrIk6aSePGlHb6G1+Eg54lHqd+7t8k2fXwCWqu1E3cgEAgEAoGgs5iPsqGLjcVTXY0h\nSSi0C/oeUTNnEX7cBHRRwYW0tFYrcXPnUfj6KzjzcomYfCKxZ5+LPiYGAF3ECLV+ds75eKqrW7xW\nrzmiKeechXb0cZT972sqViyj4NWXKV+6hLi58wjLGNnu8yluNxUrliEZTcSdcx4avZ7ypUuo/GEV\n0TNntXp89aZfKF78HlqrFUvGSMIyRmIaMqRDkdrylcsp++oLIqdOJ+bkU5o0Nm4Nd0UF9sxtmAYN\natRGImLSZGqztlG9fh2O/fvQxcYSd95cwsdPQHG7yX3qcWp+2UiR1UrCgoUddqzUCGch9sxt1GZl\nUrdje4tpvxqLBevYcbhKSqjeuJ7qTT8TNW0GsWec1W7nx1/jaxo4iMSLL23kUHsdDiq+X4HGaiVi\n8olBj0+48CL2Z26j+MPFhI0ajTYsDICyb76ibqeMdcxYkq65Hk9VFaVff0nl6lXkv/C8+vpV13aL\nlHvdrl3k/fdZPNVVRJxwEgkLFqLR64maMhXF68VxYD+Fb71O5epVWEaMIHzcce2+huJ2k/ffZ6nf\nu5ewUccEVM/8mI/AOgaBQCAQCEINSaMh5Yab8djtPZaRJRC0B0mjadYJ9RMxaTIagwFDcvKhrgNB\n0IaHt3ytnqhRawaluFj1kl2lpZR8/gnV69eBomAZkUHc3Aswpfdv88kq1/5I4euvEDXrZBLmzcdT\nXc3ev96OxmBg4MP/RmMyBR+E10vpV19Q9tUXSHo9KEqg+FYyGDAfZSNsxEgsGSMxJCe36tzV7d1D\n9qP/CuT/a8MjiD3rHCJPPKnND5yy776l5KMPSFiwkKhpMxpt89bXUfTeuxhTU4mcNqNRtNdjryX7\n34/gzMkm5syziTv73OD37HZTt3cP9qxMtb+k19tgIziLCwMRTgB9QiK6w+SpjRYT2vSBWDJGYuo/\nAEmrRfF6qf55I6WffYKrpBiN2YxpwCBo8JZpzGbizpuLIbGpIIzi9ZL7zJPYM7cBEDltBgkX/Snw\nnpevWEbx+++2eG8AZd9+Q8knHxE5dTqJf7oY+06ZnMceQRcdQ/977w84p6AKHxW++Tp1O2UiJp1A\n4mWXB7Vx5do1an3uYd+XiImTGkVeD6f6l43kv/wiKArx8+YTNX1m0PM7C/I5cP+9SFot/e+5v10R\nZTXa+xLVG9cTdvQokq+7sU2ftfj4cPzfQUHoIewX2gj7hTbCfqGNsF/oI2wYOsTHhzfrPPWJpRh9\nbCxJl19J9KyTKfnkI+yZ2zh4/72ET5hI5JSpmAcNbnFirSgK5d99CxoN0TNnA6oHHj37ZMq++oLy\nFcuIPf3MJsd56+speO1lan7dhC4ujpTrbkKfkEDdLpnaTDW32b5tK/ZtW9VzRkURNiKDiImTg0o2\ne+y15L/0Ani9JF9/E47sg5Qt+R9F775F+fKlRE4+ARpE3CSNBuuYcehjYxudp2rdT6DVEj5+QpNr\naExm+i26Iuj7oLWEkXrzrWQ/8hBlX32Bt7YWXcNzezzU7d3T5ginZcRIwkZkBHWKgj0AJI2GiAnH\nYx0zlspVKyn75mvs2zObHFu/bx9pf7u7Se+l8u+WYM/chiVjJO7KSiq/X4EuPJzYs85B8XgoX/Yd\nkl5P1PQZTc7ZkOhZJ1O1bi2VP3yPdfRoCt98HSSJpD9f3cgJBTAk9iPlxr+Q/fijVP30I9rwcOLP\nnxfYrrjdFC1+j8pVK4Ney749S63ztA1rss2Zn0fBa6+gMRhIvvaGFmW+Df2SSFiwkMLXXyX/5RdI\nu+OuRp95RVGo3boFxenEMmx4INKsKArFi9+jeuN6TIOHkHT1dWKFVSAQCAQCgUDQ5+kTEdHDqc3c\nRsnHH+LIPgiAZDRhGTZMFXU5+pgmgjg1W34n7z9PEX78RJKuuCrwuqeujn1/ux08HgY+8njjSFhR\nEXn/fRZnTjbmo2wkX3N90PCxq7wce1Ym9qxt2LMyA7nOseecR8zpZwaiW4qikP/iC9T8spGYM84k\n7pw5gJpqWvrVF6qIUsPIow9NWBjJV18XcFIc2Qc5cN89hB07hpTrbmzre9kIZ2Eh2Y8+hKeqKuh2\nfWKi6mRmjMR81FFoDMbDBtVyjyFo20qU4vU2ueeyJf+j9PNPMSSnkHbH3wIOlT+SrLWG0/+f94PH\nS/YjD+EqKSZhwUK0YVbyX3qByCnTSFx4SSvvANjlHeQ89ghIEigKsefOCboY4cdTXc3BRx/CVVBA\n3NwLiDnlNDzV1eT93/PUyTswpKSSfO0NjRYN6vftJfuxR9BFRtL/3gcapSF7XU4OPvQAzpxskq6+\njvBx41sds6IoamRzwzqiTz2d+Dnnq/eyYzvFH38YaMOCJGEaMBBLRgaKw0n5su+avJ9tQawmhjbC\nfqGNsF9oI+wX2gj7hT7ChqFDSxHRPumIgurE1PqikbVZ23AVFAS2hR8/URXE8Sk5ZT/2CHXyDvrf\nez/GtMYKZP401+jZpxB29ChqM1WH0nHwAACRU6eTcOFFbYoiKV4vdbt3UfDKS7jLSrGOG0+/y65A\nYzRSufoHCt96HdOQoaTd/tcmtYau4mIceY3bijgL8in59GNQFBIuvIjIaTMo+egDypcuIenaGwgf\nM7bVMTWHu7qqqWiNBMbkFPRxnRcS6ugDQFEUij94j4rlyzANHkLqLbejeNwcuP9e3KWlpN56B5Zh\nwwGfQ/3IQ3hqqtFGRuKprGTAgw8HTesNRv6rL1G97ifMw4aTesvtrTrXrtJSsh95CHd5GTFnnk3V\nurW4S0qwjhlLv0V/DpreXfrNV5R+9glhx4wm+fqbAgsTRe+9TcXKFUROmUriwkvb/P546+s4cN+9\nuIqLSPjTxdRu+Z3aLb8DEH7cBAzJKdizMqnbszuQ/q2LjSXtr00jzK0hHuKhjbBfaCPsF9oI+4U2\nwn6hj7Bh6BCSjujhuEpLqM3cRuX3K3FkH0TS6YiaPhPLiAxyn34CS8ZIUv9yW5PjvE4n++66A09F\nReA1SafDPPQoIiadEFClbQ/uqiryX3iOul07MaalEzdnLnn/fQ5Jp6P/vQ80SbVtibpdO8n773N4\nqquIPGkKNb9vRnG7GfT4031a7bczDwDF66Xg1Zep3rAOy8hRaIwGajb90iiS7Kf+4AFyHnsEb10d\n1rHjSL7m+jZfx2OvperHH4mYOKnVYmk/jrw8sh99CG9tLQAxZ55N7JlnN+vEKl4vuU89jn17FvEX\nLiB65ixqfttE3vPPYkhOIf3ue9EY2id4Vb9/HwcffjDgaJptw4ifewGmgYMC+3jr67Dv2EH9vr1E\nnHAihvj2t80RD/HQRtgvtBH2C22E/UIbYb/QR9gwdOgxR9Rmsz0FTAAU4CZZln9pYfd2OaKBg7xe\nqjeup+SzT3CXlgZeT731jmZr8Kp/3UT5kv9hGjyEsIwMzENtaIzGoPu2eRxuN0XvvRPoWwp0OIrp\nKi0l7/n/HIrSTptO4oKLOzW+7qazDwDF7Sb3uf9g37YFoNlIMoB9p0zZN1+RcOFFGJKSO3zNtlK3\ndy8lH39A1IyZhI9tPaXWXVHBgfv+gbeujqSrr6PgtVdQ3C7S/34vxpSUDo2hcu0aqn5aS/TJpxB2\n9DHd0lpGPMRDG2G/0EbYL7QR9gtthP1CH2HD0KFHHFGbzTYFuE2W5TNtNtsw4DVZllsKN3bIEfXj\ndTmpWLmCsm++xpiaSurtf+3WPpDBUBSFylUrKVr8HlHTZ5Iwb36Hz+V1OCh88zVqNv9G+t/ubpJi\n3NfoigeA1+Eg95kncRYWkH7XPe2KJPc1arduIfeZJwP/T1h4KVFTpvbegNqAeIiHNsJ+oY2wX2gj\n7BfaCPuFPsKGoUNPOaL3AQdkWX7N9//twHhZlmuaOaRTjmjgJP5WK72oFOp1ODodYQ2cy+Xq0ym5\nfrrqAaAoCorb1aF+rX2N4g8XU750CdZx49WepD28MNJexEM8tBH2C22E/UIbYb/QRtgv9BE2DB16\nqn1LP2BTg/8XA0nAri68RhP6QquKrnJCgZBwQrsSSZKQjgAnFCBuzvlYfErEfd0JFQgEAoFAIBAI\nepPu9OIk1FrRZrfHx7dNQEbQNxH2C0K/ib09gnYhbBjaCPuFNsJ+oY2wX2gj7Bf6CBuGPi33s2gf\neahRUT/JQH4Xnl8gEAgEAoFAIBAIBEcAXemILgXmAthstjFArizLtV14foFAIBAIBAKBQCAQHAF0\ndfuWh4GTAA9wnSzLW7vs5AKBQCAQCAQCgUAgOCLoUkdUIBAIBAKBQCAQCASC1ujK1FyBQCAQCAQC\ngUAgEAhaRTiiAoFAIBAIBAKBQCDoUYQjKhAIBAKBQCAQCASCHqVb+ojabLZRwGfAk7IsP2+z2YYB\nLwFeYCdwjSzLHpvNdhVwOeD07fupzWYLA94EEoBa4FJZlgu7Y5yC4Nhstn8DJ6B+Ph4GfgHeRl24\nyAcWyrLstNlsC4CbUO36kizLr/mOnwp8ACySZfmbnr+DPzadsZ/NZktA/f4ZAQNwiyzLG3vhNv6w\ndNJ+lwL3A3t8p1smy/K/evgW/tB00n53AbN8p9IA/WRZtvX0PfyR6aT9xPylD9AOG8YA7wNVsiyf\n3+D4qYg5TK/RGfuJOUzo0eURUZvNZgGeAL4D/EpIjwIPybI8FcgBLvB9WG5F/bDNAG632Wwm4Epg\nlyzLJ6F+AO/v6jEKmsdms00DMmRZngScAjwD3Ac867PJbmCR7wf3H6i2mwr8xWazRdtstsHAjcDq\n3hj/H53O2g9YALwpy/J04C7ggZ6/iz8uXWA/BVgsy/I03z/hhPYgnbWfLMv/8tsOeBV1AVfQQ3TB\n90/MX3qZttrQt/vzwMrDjhdzmF6ks/ZDzGFCju5IzXUAZwANVwGHAP4ViWXAbKA/sEOWZacsyw5g\nCzDBt+/PALIsrwamdMMYBc2zGrjA93clEIZqgy99r30FzASOA36WZblaluV6YC0wGcgF5gA1PTlo\nQYBO2U+W5adkWV7s2zcdyO6xkQug898/AKnnhis4jK6wHzabTQdcAzzXQ+MWqHTWfmL+0vu01YYA\nVwDrDztezGF6l07ZT8xhQo8uT82VZdkDeGy2RtlE21Cd07dRP0CJqKsaR9tstlhU53UCsMK372nA\npzabbQqQ2tVjFDSPz361vv9eDnwDnCzLssv3WjGQBPTz/e2nCEjy/ShzmP0FPURn7Qdgs9n6oT7s\nw1BX/AU9RBfYzwlMsdls3wJ64DZZljf3xNgFXfP983EesMS3SCvoIbrAfmL+0su0w4bIslxrs9mk\nw44Xc5hepLP2AzGHCTW6W6zI/wG5HZhvs9mWAiZAkmW5HPgb6oflRWCfb99XUR3Z1ajOqbubxygI\ngs1mOxu4DLj+sE3NRVtEFKYP0Rn7ybJcIMvyeNTU+Te6ZYCCFumE/dYD98qyfCpwN/BW94xQ0BJd\n8PxcBLze1eMStI0O2k9BzF/6DB2woaAP0Rn7iTlMaNEjqrmyLB+UZfk0WZZnA1nAft/ri2VZniTL\n8gLUlYv9vlTdq3y54O+iFiYLehCbzXYyam79qbIsVwE1NpvN6NucAuT5/vVrcFgqakpLQxQEPU4H\n7ZcC5Nlstim+WidkWf4WGNNzIxdA575/ssq3ALIsrwfig60YC7qPzj4/ffWHqbIsH+y5UQv8dMJ+\neWL+0jdoow39tDRPEXOYXqAz9hNzmNCjOx3RwOTHZrP902azneL770LgS5vNprXZbCttNpvBZrMN\nRK2t+MVms51ms9n+6dv3Yg7lhQt6AJvNFgk8Bpwuy3KF7+XlwFzf33OAb4ENwHibzRZps9mswCRg\nTYNTSYiVxx6nE/abjGq/c1G/d9hstqMBMRnuQTr5/fvRZrPdbrPZrvCdawRQJMuymEz1EF30/DwG\n2NFzoxb46az9xPyl92mHDf20FOUWc5gepgvsJ+YwIYakKF07R7HZbMcDL6PKl7uBUtSC4v+g1ix9\nL8vybb59r0XNAdcCf5Fl+Xufcu5HQBxQBlwoy3J1lw5S0Cw2m+1K4F7UNjugrjZdCryCmla9H7hM\nVtvvzEFNu1aA/8iy/L7NZjsPVeEsBagCin0pEoIeoAvsF4sqfW717X+jkD7vObrAfinAO6iLjBrU\n5+ovPXoTf2A6az/fOc4DZsiyfF3Pjl7QBd8/MX/pZdpqQ9+2zajZeDGooja3ARZUtWMxh+kFOmm/\nW4FNiDlMSNHljqhAIBAIBAKBQCAQCAQt0SM1ogKBQCAQCAQCgUAgEPgRjqhAIBAIBAKBQCAQCHoU\n4YgKBAKBQCAQCAQCgaBHEY6oQCAQCAQCgUAgEAh6FOGICgQCgUAgEAgEAoGgRxGOqEAgEAgEAoFA\nIBAIehThiAoEAoFAIBAIBAKBoEf5f/2M9ut5IufdAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe861737208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA58AAAHrCAYAAABIPSmCAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xl8XFX9//H3TLbJZN/TLE3T7XZf2dralX0ThAooKiIg\nKij6Vfwpigvi9kVkcQFB4Ys7ggIWioDYUrpRWro3vUnTNUmz78lkmZn7+2OmsYW2aZvcJLd9PR+P\nPCYz9+beM/30zMx77rnnuizLEgAAAAAAdnIPdgMAAAAAAKc/wicAAAAAwHaETwAAAACA7QifAAAA\nAADbET4BAAAAALYjfAIAAAAAbEf4BAAgzDCMcwzDmDzY7QAA4HRE+AQA4L8+I2nK+x80DMPV1w0b\nhjFo77mDuW8AAA6JHOwGAABgF8MwrpL0A0lxknZJ+rikL0pKl5QjaaqkWklXSbpa0iclXWkYRqak\nekkflpQoaaOkrxuG8VlJX5HkkbRG0mdM0+wwDGO5pBWSLpRUKOmfkj5nmmbQMIygpG9IutUwDEPS\neEmPScqW1CnpZtM0NxiGsUDSjyUtC7fFI+nTpmmuMAwjRtIDki6WFC3pCdM0fxx+jkFJeaZpVhx+\nX9JYST+StE+SFX7uAAAMGr4JBQCclgzDGCnp95KuN01zlEKh7nGFgthiSXeFH69WKEQ+LmmdpLtN\n03xIkkuhMPk50zS/bhjGXEn3SVpgmmahpCaFgu0hF0paqFD4nCfp8sOWuUzTHBve5ouS/s80TUPS\n5yS9ZBhGRHi9aZLWmKY5QdKvJX07/PjXJY2TNEnSREmLDcM4fPvHMk3Sb0zTJHgCAAYd4RMAcLq6\nRNJy0zSLwvd/o9CRzAhJK0zTPBB+fKOk/GNso8Q0zdLw71dKetY0zarDtndN+HdL0l9N0+wwTdMn\n6V+S5hy2nVfCt+MkZZim+bQkmaa5WlKNpNnh5S2maS45rF3DD9v3Y6Zpdpum2S7pD4ft+3h8pmku\nP4H1AACwHcNuAQCnq2RJ8wzDKDrssUZJaQodtTwkqFAgPZr6923vasMwLgrfd0uKOsa6DZKGHWVZ\nsiTv+9qUICk13KbD2xU4rF3Jkh4yDONH4fsxkt45RpuP1X4AAAYV4RMAcLoql/Rv0zQ/eviDhmF8\nV6FzIg+xTmJ7z5imefcxlmcc9nuajh78KiQ1m6Y5/v0Lwud8Hm/fD5imufQoy3rCs2EYKcfZBgAA\ng4phtwCA09VrkuYahlEo9VxG5eGjrOcK/0hSt6RjBbh/SrrGMIz08PauMgzj64dt4yOGYUQbhhGn\n0JDft4+yjX2SygzDuDa8jXTDMP5sGIa3l+fykqTbDMNwG4bhMgzj24ZhXBxedlChczul0Gy9wV62\nBQDAoCB8AgBOS6ZpVkq6TdILhmHskPSopL+GFx9+tNM67P4Lkn5qGMbP3ve4TNPcqNDsscvD2/uy\nQpMHHdrGaoUmNdot6T+mab76/n2ZpmlJukHSneGht28pdHS2/SjtOvz+rxQKrtslFUky9N9w+y1J\njxmG8Z6kVh05dPdEj+oCAGA7l2X1/r5kGMYUhd6Qf26a5q/et+wCST9U6NyUpaZp3m9HQwEAGKoM\nw1gm6UnTNP882G0BAGCo6vXIZ3go0IMKDV86mkcUmnFvjqSLDMP4wHksAACcAVy9rwIAwJnrRIbd\ndkq6QlLV+xeEr6FWb5pmeXgo0VJJ5/dvEwEAcASGuAIAcBy9znZrmmZAUsAwjKMtzlbo+mSHVEsa\n1T9NAwDAGUzTXDjYbQAAYKjr66VW3v8tb69DjizLslwuRiYBAAAAwGnomGGvr+GzQqGjn4fkKXQt\nsmO3xOVSTU1LH3eLwZKRkUD9HIz6ORv1czbq52zUz/moobNRP+fIyEg45rKTudTKBxKsaZr7JCUa\nhlFgGEakpMslvX7SLQQAAAAAnNZ6PfJpGMZ5kp6UlCnJbxjG5yQ9LWm3aZovSvq8pL+EV/+raZq7\n7GosAAAAAMCZTmTCobWSJh9n+duSZvdnowAAAAAAp5eTGXYLAAAAAMApIXwCAAAAAGxH+AQAAAAA\n2I7wCQAAAACwHeETAAAAAGA7wicAAAAAQJK0cuUK+f1+W7ZN+AQAAAAASJKeffZP6u7utmXbvV7n\nEwAAAAAwsJYuXaJ33lktn8+nqqoqXX/9x5WdPUxPPvlrRUREKjMzS9/85ndUV1enH/zgXkVERCgQ\nCOjee3+g7Ozso27zzjs/q9GjxygQCOpTn7pZ9913r1wul/x+v771re9p69bN2r59m+6++y49/PCv\n9dJL/9C///2a3G635s6drxtu+ESfnhPhEwAAAACO43urv60lpS/26zavHHW1vjf7/uOus3fvHj39\n9J/V0tKsm276mGJjY/Xoo48rIyNTDz30v3rjjX+ppaVZZ599rj796VtVXLxTdXW1xwyfLpdLhYWj\ndNVV12jnziLdfPNtmjHjLL3yyj/1wgvP6847v6zf/e43+tnPHlV1dZXeeus/euyx38myLH3hC7do\n4cILlJV19G2fCMInAAAAAAwxLpdL06bNkNvtVlJSsuLj4yW5lJGRKUmaMeMsbdz4nj784Y/onnvu\nVmtrqxYsOF+TJk0+7nYnTJgoSUpJSdEzz/xOTz31hFpammUY43vWsSxLRUXbVVZ2QF/84u2SpPZ2\nnyorKwmfAAAAAGCX782+v9ejlHYIBq3D7rnk9//3XMyuri653S6NHDlKzzzzZ61bt1a/+c0vdfnl\nH9Yll1x+zG1GRkZJkn73u9/ovPNm66qrrtHy5W9q9eqV/92Ty6WoqGjNmjVHd999T789HyYcAgAA\nAIAhxrIsbd++RcFgUI2NjfL52hUZGaWqqkpJ0ubNGzVu3ES9+ebr2r27VHPnLtCtt35eO3cWndD2\nm5oalZOTK8uytGLF8p5Jhg6dAzp27Di99956dXZ2yLIsPfLIg+rs7OzTc+LIJwAAAAAMMS6XS9nZ\nObr33v+nsrIy3X77HcrOHqbvf//bioiIUF5evi644CLt2lWsBx74sbxer9xut77ylbtPaPtXXXWt\nHn74AWVlZevaa6/Xz372Y7377lpNnz5Td9xxqx599HFdd93Hdccdn5Xb7da8eQsUExPTt+dkWVbv\na/Uvq6amZaD3iX6SkZEg6udc1M/ZqJ+zUT9no37ORw2d7Uys36uvvqzdu0t1xx13DXZTTkpGRoLr\nWMs48gkAAAAAQ5DrmDHu2KqqKnX//d/9wOPTps3QLbfc3g+tOnWETwAAAAAYYi699IpT+rusrGz9\n4he/6efW9A8mHAIAAAAA2I7wCQAAAACwHeETAAAAAGA7wicAAAAAwHaETwAAAACA7QifAAAAAADb\nET4BAAAAALYjfAIAAAAAbEf4BAAAAADYjvAJAAAAALAd4RMAAAAAYDvCJwAAAADAdoRPAAAAAIDt\nCJ8AAAAAANsRPgEAAAAAtiN8AgAAAABsR/gEAAAAANiO8AkAAAAAsB3hEwAAAABgO8InAAAAAMB2\nhE8AAAAAgO0InwAAAAAA2xE+AQAAAAC2I3wCAAAAAGxH+AQAAAAA2I7wCQAAAACwHeETAAAAAGA7\nwicAAAAAwHaETwAAAABAn3UFuo67PHKA2gEAAAAAOA0EraCK6nZoXeVa7WooVmnTLpU27tKBlv0K\nfCdwzL8jfAIAAAAAjsmyLG2t3ay3ypZrbcUqrat8R02djUeskxGbqbOzzz3udgifAAAAAIAjWJal\n96rXa0npS3q59CXtb9nXs2xEYqEuLbxc5w2brQlpEzUyaZQSY5J63SbhEwAAAAAgSapoLdfvtz+l\nv5l/VVnrAUlSfFSCrh1znS4acYlm5cxRdtywU9o24RMAAAAAzmCWZWll+Qo9te1J/WvPKwpYASVE\nJ+o642O6ctTVmp+3UJ5IT5/3Q/gEAAAAgDNQS1ez/mb+RU9v+62KG0xJ0uT0qfrMpNv0kTGL5Y3y\n9uv+CJ8AAAAAcAbZWV+kp7Y+oeeKn1Vbd6ui3FG6dsx1+szk23RW1jlyuVy27JfweQyBYEC1HbWq\najuoqrZKNXQ2SJJcChXC5XIpNtKrVE+qUjypSvWkKSUmRVERUYPZbAAAAAD4gO5At17d87Ke2vak\nVleslCTlxOXqS9O/ohsn3KRMb6btbTjjw6dlWSpvLdOWms3aUrtJW2s2a0fddlW2HVTAOvY1ao4l\ny5utgsQRGp5YoILEERqRWKjxaRM0NmVcv4yTBgAAAIATVdVWqd/veFp/2PF/qmw7KEmam7dAn5l0\nmy4ecaki3QMXCc/I8FnZdlBvHVimt8qWaUXZclW3Vx2xPDtumGZmna2suGxle7OVFZetFE9qz1FP\nS5Ysy1K7v00NHfWq72hQfUed6ny1Kms5oA1V72pd5dojthnhitDIpFGakDZJUzOna07OhzQ5Y+qA\nFhsAAADA6a+9u12v731V/yh5Tv/e/7r8Qb8SohN16+TbdfOk2zQmZeygtOuMSD5t3W1aU7GyJ3Du\nrC/qWZYRm6krRl6lqRnTNDljqianT1WGN6NP++sOdKu8tUz7W/aptHGXiuq2q6h+h3bUbVdJY7Fe\nKv2HpNCUxecNm6XZuXM1P2+BJqZPltvl7tO+MfSUNpbold1LtK12i3x+n3z+DnX4feoMdCo7Llsz\ns87WjKyzND1zhhKiEwe7uQAA4Cj8Qb/KWg7oYFuFugJdClh+dQf98gf9inJHKikmRSkxKUryJCs5\nJlkxETGD3WScYTr8HVpd8bb+Xvyclu55WW3drZKkiWmTddPEz2ixcb3io+IHtY0uy7IGep9WTU2L\nrTto627Tpur3tO7gWq0oW651lWvVHeyWJMVGxuq8YbM1P3+R5uct1IS0ibadUPt+lmWprPWA1leu\n06rylVpd8bZ2NZb0LE+PzdD8vIVaOPx8Lcg/f0DGXZ+sjIwE2V2/08HW2i16pfQlvbJ7icyGnR9Y\n7pJLnkiPfH7fEY+NSx2va8der09OuEkpntR+bxf1czbq52zUz9mon/OdTA1bu1q0qmKlVpa9pZLG\nYu1p2q0DLfvlD/pPeH8pMSkaFp+rnLic0G18jnLicjUsfJsTn6P46IRTfTpnHPrgB1mWpaL6HVp+\n4D9afuBNra1YrY5AhyRpeEKBrhnzUX1kzGKNT5swoO3KyEg4ZrhyfPjsDHSquMFUUd12bazeoHcr\n12l77dae8zVdcmlKxjTNz1uo+fkLdXb2uUPq3MvKtoNaVf62lh/4j5YdePOIIcCT0qdoQf4iLcw/\nX+cMO29QvkFr626TWV+kHXXbtbN+h3xqVX1rk9q729Tub5c/2K3suBzlJwxXfkK+8hMKZKSOU2HS\nyAFv61CwvXab7ltzr5YdeFOS5InwaMHw83VZ4RWamztf8dHx8kTGKtodLZfLpcq2g9pQtV7vHfqp\nXi+f36fYyFh9dOzHdNuUz8lIHddv7eOF29mon7NRP2ejfs7XWw231W7Va3uX6q0Dy7S+at0RQTM9\nNl0jEkeqMGmkcuPzFBMZo0hXpCLdUYp0R6gz0KWmzkY1djaqqbNRDR31qmqvVHlrec/Rp6NJiE4M\nh9PDgml8rnLj85QXn6+chNxBP1I1VNAHpar2Km2qfk8bqzdoU/V72lT9nuo76nuWj0+dqPn5C3XF\nyKt0drZ9M9b25rQIn5Zl6UDLfhXV71BR3XbtqNumorod2tVYcsTEQNHuaE3JmKazs8/VWdnnaHbO\nh5QWm9af7beNZVnaUbddyw68qWUH3tQ7FavVFeySJHkjvTovZ7bm5M7Th3Lm2nK+qGVZKm4wtaZi\nldYeXKVN1Ru1p2m3LB39/4hLLkW4I476LeDIpFG6sOBiXVBwsc7LmX3aDz2paC3XT9f9UH/d+SdZ\nsjQ3b4E+PfEzWjj8gpN602jqbNSfiv6gp7Y+of0t+yRJ5w+/UN+f/SONTTX63E5euJ2N+jkb9XM2\n6ud8R6thW3ebXiz5u/6w42m9V71BkuR2uTUtY7oW5C/SvLyFmpQ+WYkxSae835auZlW0VqiitVwH\n2468rWitUGVbRc9VFY4mOSZZOfF5yovPU058rvIS8pUdN0zpsRnK8GYqIzZDaZ700/6KC2dCH7Qs\nS3UddTrYWq6y1jKVNu5SaWOJShqKVdpYorqOuiPWH544Qudkn6sF4RGdWXHZg9TyIw2p8PlG6RtW\nY1N7z/2gFVR3sFvdgW75g93qDnaruatJNb4a1bbXqtZXo6r2ShU3mGrpaj5iW/FRCRqfNkHjUydq\nQvpETUmfqskZU0+boNPe3a41FStDYXT/myppLO5ZlhCdqFnDZmtm1tmakjFVkzOmndQwXcuyVN1e\npa21m7Wtdqs2Vr+ndQfXHPGfOjkmWRPTJmtC2kRNSJukcWnjNT5vlHzNlrxRXnkiQkeQa3w1OtCy\nT2UtB7S/Zb/WV67TWweWqd3fJkmKi4rX5SOv1Gcm3abpmTMH7VsYO3T4O/Twhgf02OZfyuf3aXzq\nRH139n1amH9Bn55nIBjQv/Yu1RNbfq01FasU5Y7SndPv0pdn3q3YyNhT3u6Z8MJ9OqN+zkb9nI36\nOd/hNSxtLNETWx7T88V/U0tXs9wuty4YfpE+atygeXkLbDn15Xjau9tV2Vah8tZylbeWqSJ8W95a\npvKWMpW1lh33CKokeSPjFB8dr/ioeMVHJ8gb6VWkO1JuV4QiXG65XW5FuCLkdkcowhX6cbtcinBF\nKsIdocjwrdsVociedUKPeSI8SvGkhC8vmKrkmBTlxOcq05s1YPOVDMU+GLSC6vB3qCPgk6/bF7oN\nz+3h8/vU4fepI9ARnvMjfN/fobbuNjV1Naqps0lNnaHbal+1Klsreg48Hc7tcqsgcYSMlHGamjld\n0zNnaGrGjCF7gG1IhU/X910nvcMIV4RGJ485LGhO0vjUCcpPGH5aBZneHBqiu6r8ba0sX6G9zXuO\nWJ4dN0zjUycoLTY9dMJ7TLJSPCmSpPqOetV31Kmho151vjoV1e9Qra/miL/PTxiuc4fN0qycOZo1\nbI5GJY/+wL/viXb8zkCn1las1r/3v65/7XlF+5r3SpKmZkzXzZNu1dWjr5U3ytuHf43Bt7V2i+78\n92dVVL9D2XHD9M1z7tV1xscU4Y7o1/28uucV3fP23SpvLdPwxBH6ydwHdEHBxae0raH4wo0TR/2c\njfo5G/VzvoyMBK0u3qCfr/9fvbDreQWtoIbF5ejj4z+pG8d/SnkJ+YPdxGOyLEvNXU2hcNpyQFXt\nVappr1aNr1q1vhrVtNeopbtFrV0tau1uVWtXa89BADtFu6OVl5Cv4YkFyk8o0PCE4eHfhys/sUCZ\nsZn99lndrj5oWZaaOhtV3V6tqvZKVbdXqaq9Sk2dDWrpavnvT3eLWruaj3isv/6NI92RSo/NUE5c\njrLjcpQTH7odmTRKY1LGakRSoaMOrg2p8PnDFT+02to6/9sAl0tR7mhFuSMVGRGlKHeUEqMTlR6b\nofTYjJ4g1d8f6E8HB1srtLlmk7bUbNLW2s3aWrNFFW3lJ/S3wxMKNDF9sianT9Gk9CmanD5FuQl5\nvf7dqXT8oBXU22Vv6eltv9W/9r6ioBVUckyybp38OX12yueVHA7ITuEP+vXLjQ/rgXd/rO5gt26a\neIu+O/sHtp6T0dbdpgfX/1SPb/6l/EG/PjL6Wv103s9P+t+OD0/ORv2cjfo5G/VzNrN+p3617ed6\ndtuzsmRpQtokffWsr+vSwitO68veBa2gAsGAAlboJ2gFFAgGFFRQgWAwdN8KyB/0h9YJ/vf+4ct8\nfp8aOxtU31Gvxo4G1XXUqaK1XAda9ulAy37V+mqPun9PhEe5CXnKjc9XXnye8hLye35y4/OUG5+n\n6IjoE3ouJ9sHOwOdqvfVqbq9qidQ9oTLttDvNe3Vqm6v6pmkpzeeCI/ioxOUEJ2ghOhExUXFKTYy\nVp6IWHkiPfJGeuWJ9MgTGRt6PDJWsREexb7vcW+kV0kxyUqKSVJSTLK8kd7T6oDakAqfGoDZbs9k\nrV0tauhsUGNnoxo7GtQYPocg1ZOmFE+q0jxpSvaknPK3J3198y1vKdMfiv5Pz2z7neo66hQflaBb\nJ9+u26feMWSHDhxud+Mu3fHm7dpQ9a6yvNl6ZNGvtGj4hQO2/6K6Hfrq8i9pfdU65cbn6VfnP6HZ\nuR864b/nw5OzUT9no37ORv2cqahuh36+/n/1z9IXZMnSpPQp+tpZ39AlhZdxebt+1NbdpgMt+3Wg\neZ/2t+wP/d6yX/ub96m8tewDo+0OccmlDG+msrzZyvBmKCM2UxneTKV60npCmicyFN6SkmJV29Dc\nc5peV6CrZ2Rfna+257a2o071vjq1dh+/v0a6I5UZm6WsuCxlerOU6c1Wljf0e1ZctlI8qUqIOhQ0\nExQflXDan1fbXwif6Df99ebb1t2mZ7Y/pV9tfEQ1vmp5I+N086Rbdef0Lw/JEGpZlp7a9qTuW3Ov\nfH6frhmzWD+e+7MBPydECh15feS9B/Wzd3+ioBXUl2b8j75+9j0n9ILIhydno37ORv2cjfo5y466\n7Xpw/U+1pPRFSdKUjGn6wfnf13kpC06rI0xO4fP7VNFapgMtB1TeUqYDrftV3hI6p7Ws5YCq26v7\nZQhrtDtaabHpSotNV6onTWmeVGV4Mz8QLLO82UrxpPAFhE0In+g3/f3m6/P79Kcdz+gXGx/WwbYK\nxUcl6HNT79Dnp92phOjEfttPX1S0luuu/3xBb5UtU0pMin467+e6esy1g90sra9cp8//+1bta96r\naRnT9fhFT2lk0qjj/g0fnpyN+jkb9XM26jf0WZaldyrX6rFNv9Cre16WJE3LmK6vnf0NXVhwiTIz\nE6nhENbW3RYeBlutxs56dfg71O5v75msJz4uRl2+oCLdodP0oiKilOpJDYXM2HSledIUFxXPlwtD\nAOET/cauN98Of4f+sONpPbThZ6r11SglJkVfnPE/+syk2wZtYiLLsvT3kr/pGyu+puauJp0//EI9\ntPCXyo4bNijtOZqWrmbd8/bX9az5Z8VHJejBBY/oI2MWH3N9Pjw52+lQv65Al7bXbtXmmk062Fau\nqrYqVbYfVFVblVq6W+QNnw8TG+lVbGSscuLzNC51nMalTtC41AnK8GYM9lM4ZadD/c5k1G/o6g50\n6+XdL+nxzb/Uxur3JEkzMmfqa2d/Q+cPv6gnjFBDZ6N+zkH4RL+xu+O3drfqt1se1y83PqLmrial\nx2boC9O+pE9PumVAL7K8o267vrPqHq0oWyZvZJzum/MjfXLCp4fst2nPFz+ru9/6itq6W/XJCTfr\n/g/95KiXZOGF29mcWD+f36cVZcu1tmK11let0+bqjUed2CEuKl4J0Qnq9IempD/W5A/psemalfMh\nzc9bqAX5izQ8scDup9BvnFg//NfpUj/LstQR6FC0O9rxkznub96n54r/qj/ueEblrWVyyaVLCi/X\n56feqXOHzTrlGfsxNFE/5yB8ot8MVMdv7GjQY5t/od9ufUItXc1K9aTq9il36JbJn+3ThZ57U+ur\n1f+u+6F+v+NpBa2gFuQv0k/n/VyFSSNt22d/KW0s0W2v36xttVs0PnWCnrzoGY1NNY5YhxduZ3NK\n/Ro66vXGvte0dPfLWn7gTbX7Q9d2drvcmpA2SWdlna0ZWWdpeEKBsuKylOXNVnx0whHbCFpBtfvb\ntb95n3bW79DOuiLtrN+hrbVbVN5a1rNeYdJILcw/X5cUXq45OXOH9GQQTqkfjs4J9esOdKuofrt2\nNZZod2OpdjeVak9TqSrbKuU7bPjiIUkxyUqJSekZujg8sUCFSSM1ImmkChNHanhigTyRnkF8Rh/U\n0tWsJaUv6Vnzz1pTsUpS6PqWHx//Cd065XPHPf3ECTXEsVE/5yB8ot8MdMdv6mzUk1se1xNbfq3G\nzkYlRifpmjGLdcO4GzU9c2a/HYms9dXqz0V/0KPv/VzNXU0anTxG98350RHDdZygw9+h766+R09v\n+628kV79ZN6DumHcjT3LeeF2tqFcv85Ap17bs1R/2flHLT/wHwWsgCRpdPIYXVZ4pRYMX6RpmTP6\nPILBsiztbtql5QeW6a2yZVpZtqJnRsOkmGRdWHCxLiu8UguHn6+4qLg+P6/+NJTrh94Nxfq1dbdp\nfeU6rT24Wu8cXKMNVe8eES6l0Iyew+Jy5A0PZY+N8soT4VFnoFMNHfWq76hXQ0f9US9s75JLufF5\n4UBa2BNKD90fiD4WtILaXrtVy8uW6a0Dy/TOwdXqDIQu2TcnZ66uH/dxXTHywx/4AutohmINceKo\nn3MQPtFvBqvjt3Q16+ltv9OTWx5TVXulJGlM8lhdP+7junr0tcpPGH7SIbE70K0397+hv+78k97Y\n9y91B7uVHJOsu8/+pj498dYhfQSlN0tKX9SXl92plq5mXWd8TD+Z96Dio+J54Xa4oVY/y7K0pWaT\n/rLzj/pHyXNq7GyUFJrg44pRV+nSwis0JmWsrW3oDnTrnco1Wrp7iV7d80rPUVFPhEcL8hfpspFX\n6qIRlyjVM/izaA+1+uHkDJX61XfU6bU9r+qV3f/UW2XLeoKYJI1PnaBzhs3SuNRxKkwaqcKkUcpP\nGN7rdSwty1Jrd4v2Nu/V3qbd2tO0J3wb+jnWNcQzvVnh/YRC6YikQhUmjVR+QoGSY5JPelhvU2ej\ndjWWqKShWKWNu1TcYOrdyrVHXENyQtokfXjU1fqocYPyE4af1PaHSg1xaqifcxA+0W8Gu+P7g36t\nKFumv+78k17d80rPm26WN1szss7SzKyzNCPrLOXE5youMnThX29UnCzL0t7mPSpuMFXSYMqs36m3\nypb1XHdqQtokfWzcjbrO+NigXD7FDnub9uj2N27Wxur3NCZ5rJ646P+0YPwsXrgdbLD73yGt3a36\nR/Fz+v2Op7WlZpOk0IfQj469QTeMu1FG6rhBadehMLx0zxIt3f2yzIadkqQIV4TOGzZbl428QpcW\nXqG8hPxBad9QqR9OzWDWr627TS+W/F3/KHlOqytW9owsGJ86UecXXKjzhs3S2dnn2vb+5fP7tK95\nr/Y27QkfruT9AAAgAElEQVQH0tLQbfMelbXsV9AKfuBvXHIpKSZJyeFhvbGRXrldbrlcbkWEL2/R\n2t2qps5GNXY2qrmz6ajnemd5s7Ugf5Hm5y/UvLyFyvRmnvLzoA86G/VzDsIn+s1Q6vhNnY16cdc/\ntPzAf7Sh6l1Vth08qb9P9aTqmjEf1cfGfUKT0qc4anjtieoKdOn+td/T45t/KU+ERw9e/KAWF3zi\ntHyuZ4LB7n/barfq99uf0vPFf1Nrd4siXBG6aMSlunH8J7Vo+IW9Hl0ZaKWNJVq65xUt3b1EG6re\n7Xl8asZ0XVp4uS4pvFzjUycMWH8Y7PqhbwajfkV1O/T7HU/pb+Zf1dLVLEmamXW2Lht5pS4vvEIj\nk0cPaHuOpivQpbKW/T1HSfc07VZZa5kaOxvU0FGvho6GYw7rjXBFKDkmWYkxSUqOSVaaJ12jkkdr\ndMpYjUkeq1EpY5QZm9lvfZQ+6GzUzzkIn+g3Q7njV7SWa0PVem2s3qB6X518/na1+9vV7vfJH+xW\nQeIIjU0Zp7EpYzU2ZZzyE4Y7fqa/E/Xa3lf1pTc/p4bOBs3Nna+fL/yFChJHDHazcJIGo/81dzbp\nHyXP689Fv9emmo2SpJy4XH1iwk26cfynNCw+Z0Dbc6oq2w7qX3uWaumeJVpZvkL+oF9S6Ijt3Nz5\nmpe3QHPz5tt6VHQov36idwNVP8uy9NreV/WrTY/onYNrJIWO/h3qc4N15L6vLMtS0AoqYAUUtIIK\nWkHFRsYO6Jeh9EFno37OQfhEv6HjO1dVW6XuWfNVLSleIm9knL4z+z59euItcoeHP2HoG8gPv2sq\nVulPRb/Xy7tfks/vk9vl1oUFF+vG8TfpgoKLhtxRzpPR1NmoN/a9pjf3vaEVZctV46vuWVaQOELn\nDZut84bN1qyc2SpMGsVRF0iyv36BYEAv735JD234mXbUbZMkLchfpJsm3qKLCi5x9DwEQwV90Nmo\nn3MQPtFv6PjOlp4er8dW/VbfWvl1NXY2ak7OXD244JEhMXQLvbO7/1W1VepZ88/6c9EftLupVJI0\nIrFQN47/lK4f93Flxw2zbd+DxbIsmQ07teLAMq0oW653KteqKTxxkiRlxGZqeuYMTcqYoinp0zQl\nY6py4/NOKZDy+ulsdtUvEAzoHyXP6eENP1NJY7HcLrc+Mnqx7pr5VY1LHd/v+zuT0Qedjfo5B+ET\n/YaO72yH6lfVVqmvvXWXXtv7qqLd0bpz+l360oyvyhvlHewm4jjs6H8d/g69se81PWf+RW/se00B\nKyBPhEdXjLpKnxh/k2blzDmjzhEOWkEV1e0IX7pitdYdfOcDM30mxSSrMLGwZ5bPEUkjlRufp0xv\nljK9mUqOSTnqvxmvn85mR/2W7X9T9635jrbXbVWkO1LXGx/XF2d85bjXqsSpow86G/VzDsIn+g0d\n39kOr59lWVpS+qK+s+oeVbSVKz9huO7/0E91yYjLzqiw4ST91f8CwYBWV6zU34v/ppd3/1PNXU2S\npCkZ03Tj+E/pmjGLlRST3Of9nC5q2mu0tXazttZs1tbaLSqq2659zXuPOoGKJEW5o5QRm6n46HjF\nRnrljQpdXzHJmyB/t6UIl1tuV4QiXBGKiYhRXFSc4qLi5A3fZsRmKjsuR9lx2cqKy1ZMRMwAP2Mc\nTX++/22t3aL7Vt+rt8qWySWXrjM+pq+fc89JXzoEJ4fPMM5G/ZyD8Il+Q8d3tqPVr7W7VQ+tf0CP\nbf6F/EG/Fg2/QN+Z9QNNSJs4SK3EsfSl/1mWpW11W/X34r/phZLndbCtQlJo8qBrxn5U1465ThPT\nJ/Vnc09rgWBAB9sqtLc5dOmJitZy1bTXqNpXpZr2KlW3V6u9u00+v0/t/vY+7Ss9Nl2jksdoTPLY\n8CygY2Skjj+l6xvj1PXH+19ZywH9+J0f6PniZ2XJ0sL883XvrPs0KX1yP7USx8NnGGejfs5B+ES/\noeM72/HqV9JQrG++fbdWhL+JXzz2ev2/c76l4YkFA9xKHMup9L89Tbv1z10v6PniZ3uue5kUk6wr\nR16lxWOv13k5s5l0ymaWZakj0KH45EhV1TSFZvsMBuS3/OoKdKqtu01t3W1q725TS1eLanzVqmyr\nVGXbQVW2V6qsZb/2Ne/9wLUUE6OTNCl9cvhniiamT5aRMk7REdGD9ExPb315/2vqbNQj7/1cT255\nTJ2BTk1Kn6LvzLpPC/IX9XMrcTx8hnE26ucchE/0Gzq+s/VWP8uy9Ob+13X/2u9rR902Rbmj9OmJ\nt+jLM+9WhjdjAFuKozmR/hcIBrShar1e27tUr+99tSdwRrujddGIS3Xt2Ot0QcFFDOUcBH15/ewM\ndGpv0x6VNBSrpMFUUf12bavdqtLGXbL03/fxKHeUjNTxoUCadiiUThrQYdSWZamlq1n1HfXy+X09\n7Tv0eSM+Ol6pnlTFRyU46sjtqdSvM9Cpp7c9qYfWP6CGzgblxufpm+feq8Vjr+dLn0HAZxhno37O\n0afwaRjGQ5LOlWRJuss0zfWHLbtD0o2SApLWm6b5lRNoD+HTwej4znai9QtaQf2j5Dn9ZN0Ptb95\nr2IiYvTRsTfos1O/wOyLg+ho9bMsS6WNu7Sq4m2tKl+hleUrVOurlSR5Ijyan79QlxZeoctHXsl5\nnIPMjtfPtu42FdWFgujW2i3aXrtFO+q2qyPQccR6wxMKNDF9ssYkjw2fSzosdOvNljcqTjER0YqO\niFG0O1oul0uBYEC+gE+d/k51+H1q6W5RQ0e96jvqj7ht6KhXfedhv3fUq7Gzoec6qscT6Y5UckyK\nMmIzQsOJU8bKSBmnsSnjNDplzJD7guRk6he0gnpx19/1o7X3aX/LPiVGJ+nLM7+mWyffLk+kx+aW\n4lj4DONs1M85Tjl8GoYxX9LXTNO80jCMcZKeMk1zdnhZkqRNkkaZphk0DOM1Sd8xTfOdXtpD+HQw\nOr6znWz9ugJd+mPRM3p80y+1t3mPJGlh/vm6feodWpC/iG/uB1hKWqze3bVFO+uLZDYUqahuh945\nuEZV7ZU962R5s3VhwcW6uPAyzc2dzwzGQ8hAvX76g37tbizVtrot2la7Vdtqt2hb7ZaeLyV6E+GK\nUMAKnNQ+3S63kmOSleJJVUpMqlI9qUrxpMob5ZVLoc8gLpcrfFS0RY2dDT1BtaqtSq3dR/67eCI8\nOiv7HM3Jnas5ufM0I3PmoA8nPtH6rSp/W99f/W1tqtmoKHeUPjP5s/rKzK8p1ZM2AK3E8fAZxtmo\nn3P0JXx+X9I+0zSfCt8vknS2aZqthmF4FAqf50pqk7RM0s2mae7qpT2ETwej4zvbqdYvEAzotb2v\n6jdbfqU1FaskSbnxefrImMX6yJjFmpQ22VHD5wZSh79DTV1Nau5sUmNng5o7m9TS1aJ2f7t8/na1\ndber3d8mX7ev57H2Q4/5faHfwxPXVPuq1BU4cobVjNhMzcn9kObkztOcnLkalTyaWgxRg/n6aVmW\nqtortbd5r6oPO5+0qq1SPr9PXYFOdQY61RXskj/olyfCo5iIGHkiYxUTEaP46ASlelI+EC4P3SbF\nJJ/yl1GH2mbW71Rxw07trN+pDVXvakfdtp51vJFezctfqA+PuloXFVyixJik/vqnOWG91W9LzSb9\n5J379e/9r0uSrhmzWN889zsqSBwxQC1Eb/gM42zUzzn6Ej5/I+kV0zT/Gb6/QtItpmmWhO/fIOmX\nkjok/cE0zW+eQHsInw5Gx3e2/qjf5uqNemrbk3p59z/V0tUsSRqbYujq0dfq4sLLzrgg2tBRr12N\nJSpt3KXSxl2qaC0Pf6g/qKr2KjV1NvZp+96eS3V4lZWQqVEJY2Wkjte41HEyUscrLz7/jPr3djJe\nP09Ona9OqytWalX5Cq0oW65djSWSQucvL8hfpCtGXaXLR16phOjEAWnPseq3rXarHnj3x3p1z8uS\npDk5c/Xd2T/QtMwZA9IunDj6oLNRP+foz/D5tsJHNw3DSJS0WtI8SS2S3pR0h2maW3tpD+HTwej4\nztaf9evwd+jf+17XC7ue1+t7X1VnoFNS6NIdFxRcrItGXKw5ufMUFxXXL/sbCmp9tdpQ9a42VL7b\nc2SmrqPuqOumxKQoO26YMrxZSolJUWJMkpJjkpUUk6T46IRQqAwHS29knGIjY+WNiusJmt7I0LUh\nDw+W9D9no359Y9bv1Mu7X9KS0pd6jop6Ijy6pPAyfXTsDVqQf76iIqJs2//767etdqse2vCAlpS+\nKEk6K+scfePcb2tu7ny+EBqi6IPORv2coy/h87uSDpqm+UT4fqmkKaZpthmGca6kb5mm+eHwsh9J\nKjFN8+le2jPg0+sCsFdzZ7OWlizVKyWvaGnJUtX76iWFJhQ5K+cszRs+T3ML5mpO/hylxKYMcmtP\nTFegS1uqtmht2dqen9KG0iPWGZUySuPSx8lIM2SkGzLSDBUkFyg7PptJRQAbFdcV69ltz+qPW/+o\n4rpiSVK6N103TLxBn5jyCZ2Te44tAdAf9OvFnS/q0Xce1dv735YknZN7ju5bcJ8uGnURoRMAQk45\nfM6S9H3TNC8yDGOGpIdN05wXXpYlaaWkyaZpdhiG8bqk+0zTXNlLYzjy6WB86+RsA1G/QDCg9VXv\n6o29/9KqihXaVL2xZ/ISl1wqSByh8WkTNT5tgiakTpSROl4FiSMGPaxVtJZrQ9W7Wh8+qrmlZtMR\nM4YmxyRrZtbZPT8zsmYO+Oyx9D9no379z7Isbap+T88XP6sXdj3fM6lSYdJILR57vRaPvV6FSSP7\nvJ/dTaV68+BS/eqdX6uirVyStCB/kW6f8gUtGn4hodMh6IPORv2co6+XWvmxQkNrA5LukDRDUpNp\nmi8ahvFZSTdL8ktaZZrmN06gPYRPB6PjO9tg1K+1u1UbKt/VmoOrtO7gWu2o26b6jvoPrDcsLkcF\niSNUkDhCuQl5yvJmK9ObpUxvpjK9WUqOSVZCdGKfZ9ht7W5VSb2p4gZTJQ3FKm7YqS01m3s+UEqh\nmTsnpE0KB82zdFbWOUNiIh/6n7NRP3t1B7q1omyZniv+q17d84p8fp8kyUgZp3OHzdZ5ObN03rDZ\nykvI73VbHf4OralYpTf3v65/73tdu5tCox7iouJ1w7iP65ZJt2t0yhhbnw/6H33Q2aifc/QpfNqA\n8OlgdHxnGwr1syxL1b5qFdVtV1HdDpU0mNrXvFd7m/eovLVMQSt4zL91yaX46AQlRScpITpBsZGx\n8kTGyhPpkSciVlHu0Plehy5qH7SCau5qVmNnQ881CNu6Wz+w3YzYTJ2VfY5mZp2ts7LO1pTMaYqP\nirfnH6APhkL9cOqo38Bp7WrRK7uX6IVdz2ttxRq1+9t6lg2Ly1F2XHbPzL1psaFLoFS0VqiitUwV\nbRWqbq/qeS3yRsZpfv5CXTPpKi3KunTAJjhC/6MPOhv1cw7CJ/oNHd/Zhnr9ugJdKmvZ3/PhL/RT\nrerwrLHNXc1q7mxWc1eTWrqa1eHvOGJo7LF4I72hD5qeVKV50jQmZazGpBihC9qnjlN6bPoAPLu+\nG+r1w/FRv8HRHejWttotWnNwtdYeXK0t1ZtU11HbM0na4aLcURoWn6ucuBxNzZyuCwsu1rnDZikm\nIob6nQaoobNRP+c4XviMHMiGAMDxREdEa2TyaI1MHn3CfxO0gurwd8jn9/WcWyqp58L2CdEJg34+\nKYDBExURpelZMzU9a6a+MO2LkkIjMNr97eEREXWyLEs58XlKi03r89B+AMCxET4BOJrb5Q5driTK\nO9hNAeAQLpdLcVFxiouKO6FzQAEA/YOv9wAAAAAAtiN8AgAAAABsR/gEAAAAANiO8AkAAAAAsB3h\nEwAAAABgO8InAAAAAMB2hE8AAAAAgO0InwAAAAAA2xE+AQAAAAC2I3wCAAAAAGxH+AQAAAAA2I7w\nCQAAAACwHeETAAAAAGA7wicAAAAAwHaETwAAAACA7QifAAAAAADbET4BAAAAALYjfAIAAAAAbEf4\nBAAAAADYjvAJAAAAALAd4RMAAAAAYDvCJwAAAADAdoRPAAAAAIDtCJ8AAAAAANsRPgEAAAAAtiN8\nAgAAAABsR/gEAAAAANiO8AkAAAAAsB3hEwAAAABgO8InAAAAAMB2hE8AAAAAgO0InwAAAAAA2xE+\nAQAAAAC2I3wCAAAAAGxH+AQAAAAA2I7wCQAAAACwHeETAAAAAGA7wicAAAAAwHaETwAAAACA7Qif\nAAAAAADbET4BAAAAALYjfAIAAAAAbEf4BAAAAADYjvAJAAAAALAd4RMAAAAAYDvCJwAAAADAdoRP\nAAAAAIDtCJ8AAAAAANsRPgEAAAAAtiN8AgAAAABsR/gEAAAAANiO8AkAAAAAsB3hEwAAAABgO8In\nAAAAAMB2hE8AAAAAgO0InwAAAAAA2xE+AQAAAAC2I3wCAAAAAGxH+AQAAAAA2I7wCQAAAACwHeET\nAAAAAGA7wicAAAAAwHaETwAAAACA7QifAAAAAADbET4BAAAAALYjfAIAAAAAbEf4BAAAAADYjvAJ\nAAAAALAd4RMAAAAAYDvCJwAAAADAdoRPAAAAAIDtCJ8AAAAAANsRPgEAAAAAtiN8AgAAAABsR/gE\nAAAAANiO8AkAAAAAsB3hEwAAAABgO8InAAAAAMB2kb2tYBjGQ5LOlWRJuss0zfWHLcuX9BdJUZLe\nM03z83Y1FAAAAADgXMc98mkYxnxJo03TnC3pFkmPvm+VByU9YJrmuZIC4TAKAAAAAMAReht2u0jS\nC5JkmuZOSSmGYcRLkmEYbkkfkrQkvPxO0zQP2NhWAAAAAIBD9RY+syXVHna/RtKw8O8ZklokPWQY\nxtuGYfzIhvYBAAAAAE4DvZ7z+T4uhc79PPR7rqSHJe2T9IphGJeZprm0t41kZCSc5G4xlFA/Z6N+\nzkb9nI36ORv1cz5q6GzUz/l6C58VCh39PCRH0sHw77WS9pmmuUeSDMN4U9JESb2Gz5qalpNvKYaE\njIwE6udg1M/ZqJ+zUT9no37ORw2djfo5x/G+JOht2O3rkhZLkmEYMySVm6bZJkmmafol7TYMY3R4\n3ZmSdva5tQAAAACA085xj3yaprnGMIwNhmGskhSQdIdhGDdJajJN80VJX5b0f+HJh7aYprnE/iYD\nAAAAAJym13M+TdP85vse2nrYslJJc/u7UQAAAACA00tvw24BAAAAAOgzwicAAAAAwHaETwAAAACA\n7QifAAAAAADbET4BAAAAALYjfAIAAAAAbEf4BAAAAADYjvAJAAAAALAd4RMAAAAAYDvCJwAAAADA\ndoRPAAAAAIDtCJ8AAAAAANsRPgEAAAAAtiN8AgAAAABsR/gEAAAAANiO8AkAAAAAsB3hEwAAAABg\nO8InAAAAAMB2hE8AAAAAgO0InwAAAAAA2xE+AQAAAAC2I3wCAAAAAGxH+AQAAAAA2I7wCQAAAACw\nHeETAAAAAGA7wicAAAAAwHaETwAAAACA7QifAAAAAADbET4BAAAAALYjfAIAAAAAbEf4BAAAAADY\njvAJAAAAALAd4RMAAAAAYDvCJwAAAADAdoRPAAAAAIDtCJ8AAAAAANsRPgEAAAAAtiN8AgAAAABs\nR/gEAAAAANiO8AkAAAAAsB3hEwAAAABgO8InAAAAAMB2hE8AAAAAgO0InwAAAAAA2xE+AQAAAAC2\nI3wCAAAAAGxH+AQAAAAA2I7wCQAAAACwHeETAAAAAGA7wicAAAAAwHaETwAAAACA7QifAAAAAADb\nET4BAAAAALYjfAIAAAAAbEf4BAAAAADYjvAJAAAAALAd4RMAAAAAYDvCJwAAAADAdoRPAAAAAIDt\nCJ8AAAAAANsRPgEAAAAAtiN8AgAAAABsR/gEAAAAANiO8AkAAAAAsB3hEwAAAABgO8InAAAAAMB2\nhE8AAAAAgO0InwAAAAAA2xE+AQAAAAC2I3wCAAAAAGxH+AQAAAAA2I7wCQAAAACwHeETAAAAAGA7\nwicAAAAAwHaETwAAAACA7QifAAAAAADbET4BAAAAALYjfAIAAAAAbEf4BAAAAADYjvAJAAAAALBd\nZG8rGIbxkKRzJVmS7jJNc/1R1vmxpPNM01zY/00EAAAAADjdcY98GoYxX9Jo0zRnS7pF0qNHWWeC\npLkKhVMAAAAAAD6gt2G3iyS9IEmmae6UlGIYRvz71nlA0j2SXP3fPAAAAADA6aC38Jktqfaw+zWS\nhh26YxjGpyX9R9K+fm8ZAAAAAOC00es5n+/jUnh4rWEYqZI+IeliSfkns5GMjIST3C2GEurnbNTP\n2aifs1E/Z6N+zkcNnY36OV9v4bNCoaOfh+RIOhj+fWF42UpJMZJGGYbxoGmaX+1tpzU1LafQVAwF\nGRkJ1M/BqJ+zUT9no37ORv2cjxo6G/VzjuN9SdDbsNvXJS2WJMMwZkgqN02zTZJM0/y7aZqTTNOc\nJekjkt47keAJAAAAADjzHDd8mqa5RtIGwzBWSXpY0h2GYdxkGMbV71u1ZzguAAAAAADv1+s5n6Zp\nfvN9D209yjp7FZoZFwAAAACAD+ht2C0AAAAAAH1G+AQAAAAA2I7wCQAAAACwHeETAAAAAGA7wicA\nAAAAwHaETwAAAACA7QifAAAAAADbET4BAAAAALYjfAIAAAAAbEf4BAAAAADYjvAJAAAAALAd4RMA\nAAAAYDvCJwAAAADAdoRPAAAAAIDtCJ8AAAAAANsRPgEAAAAAtiN8AgAAAABsR/gEAAAAANiO8AkA\nAAAAsB3hEwAAAABgO8InAAAAAMB2hE8AAAAAgO0InwAAAAAA2xE+AQAAAAC2I3wCAAAAAGxH+AQA\nAAAA2I7wCQAAAACwHeETAAAAAGA7wicAAAAAwHaETwAAAACA7QifAAAAAADbET4BAAAAALYjfAIA\nAAAAbEf4BAAAAADYjvAJAAAAALAd4RMAAAAAYDvCJwAAAADAdoRPAAAAAIDtCJ8AAAAAgP/f3v3H\n3l7XdQB/XiVlAjqwSxdhuYrt1Y9ZG81oYF5+GCK2tYBcjVEITEc0mQl/yGr+KHHWlEn5R5iVWUmr\nSaMJiaYb5aLEzVVrvPqxyLpQXNMA2ZKkb398Pl/8cqf3ey/nvM+Xw308trudcz6fc77vs+c5576f\nn8/nfM5wyicAAADDKZ8AAAAMp3wCAAAwnPIJAADAcMonAAAAwymfAAAADKd8AgAAMJzyCQAAwHDK\nJwAAAMMpnwAAAAynfAIAADCc8gkAAMBwyicAAADDKZ8AAAAMp3wCAAAwnPIJAADAcMonAAAAwymf\nAAAADKd8AgAAMJzyCQAAwHDKJwAAAMMpnwAAAAynfAIAADCc8gkAAMBwyicAAADDKZ8AAAAMp3wC\nAAAwnPIJAADAcMonAAAAwymfAAAADKd8AgAAMJzyCQAAwHDKJwAAAMMpnwAAAAynfAIAADCc8gkA\nAMBwyicAAADDKZ8AAAAMp3wCAAAwnPIJAADAcMonAAAAwx213QpVdWOS05NsJLmmu+/ZsuzsJDck\neTxJJ7myuzcGjRUAAIA1ddA9n1W1N8mp3X1GkiuS3HTAKjcnubi7X5bkuCTnDxklAAAAa227w27P\nSXJrknT3vUmOr6pjtyz//u7eN1/en+SE5Q8RAACAdbdd+dyT5Atbru9PctLmle5+OEmq6qQk5yW5\nfdkDBAAAYP0d7gmHdmX67ucTqurEJLcluaq7v7SsgQEAAPDMsd0Jh+7PtPdz04uSPLB5paqen2lv\n5/Xd/YlD/aO7dx93OGPkaUZ+601+601+601+601+60+G601+62+78nlnkrclubmqTkuyr7sf3bL8\n3Ulu7O47D+eP7t//yOGNkqeN3buPk98ak996k996k996k9/6k+F6k9/6ONhGgoOWz+7+y6r6bFV9\nOtPPqVxdVT+d5KEkH0tyaZJTq+rK+S6/393vX86wAQAAeKbY9nc+u/vNB9z0t1suH73c4QAAAPBM\ndLgnHAIAAIDDpnwCAAAwnPIJAADAcMonAAAAwymfAAAADKd8AgAAMJzyCQAAwHDKJwAAAMMpnwAA\nAAynfAIAADCc8gkAAMBwyicAAADDKZ8AAAAMp3wCAAAwnPIJAADAcMonAAAAwymfAAAADKd8AgAA\nMJzyCQAAwHDKJwAAAMMpnwAAAAynfAIAADCc8gkAAMBwyicAAADDKZ8AAAAMp3wCAAAwnPIJAADA\ncMonAAAAwymfAAAADKd8AgAAMJzyCQAAwHDKJwAAAMMpnwAAAAynfAIAADCc8gkAAMBwyicAAADD\nKZ8AAAAMp3wCAAAwnPIJAADAcMonAAAAwymfAAAADKd8AgAAMJzyCQAAwHDKJwAAAMMpnwAAAAyn\nfAIAADCc8gkAAMBwyicAAADDKZ8AAAAMp3wCAAAwnPIJAADAcMonAAAAwymfAAAADKd8AgAAMJzy\nCQAAwHDKJwAAAMMpnwAAAAynfAIAADCc8gkAAMBwyicAAADDKZ8AAAAMp3wCAAAwnPIJAADAcMon\nAAAAwymfAAAADKd8AgAAMJzyCQAAwHDKJwAAAMMpnwAAAAynfAIAADCc8gkAAMBwyicAAADDKZ8A\nAAAMp3wCAAAwnPIJAADAcMonAAAAwymfAAAADKd8AgAAMJzyCQAAwHDKJwAAAMMpnwAAAAx31HYr\nVNWNSU5PspHkmu6+Z8uyVyR5R5LHk9ze3b80aqAAAACsr4Pu+ayqvUlO7e4zklyR5KYDVnlvkguT\nnJnkvKr6riGjBAAAYK1td9jtOUluTZLuvjfJ8VV1bJJU1bcn+WJ37+vujSS3Jzl35GABAABYT9uV\nzz1JvrDl+v75ts1l+7csezDJScsbGgAAAM8U237n8wC7nuKyJ623e/dxh/lneTqR33qT33qT33qT\n33qT3/qT4XqT3/rbbs/n/fnans4keVGSB+bL+w5Ydsp8GwAAADzJduXzziQXJ0lVnZZkX3c/miTd\n/d8KAgAAAAYNSURBVK9Jnl9VL66qo5K8el4fAAAAnmTXxsbGQVeoqncmeXmmn1O5OslpSR7q7j+u\nqh9K8q551T/q7veMHCwAAADradvyCQAAAIva7rBbAAAAWJjyCQAAwHDKJwAAAMMd7u98fkNV9b1J\nbk3ynu5+X1V9Z5Kbk/xfkn9IclV3P15Vr09yRZLH5nU/UlXHJPlgkhOTPJrksu7+z2WNje1V1S8n\neVmm18Q7k9yT5EOZNlA8kOTS7n6sqi5Jck2mXG/u7t+c739Wkj9Icnl3f3T1z+DItkh+VXVipvff\nc5M8J8nPdfdf78DTOGItmN9lSd6e5J/nh/t4d9+w4qdwxFsww+uT/PD8UM9Ksqe7a9XP4Ui2YH7m\nMDvsMPI7IcmHkzzc3T++5f5nxRxmxyySnznM+lnKns+qel6Sdyf5WJLNMxi9K8k7uvusJP+e5DXz\nC+RNmV5g5ya5rqqOTvK6JP/Y3S/P9KJ7+zLGxaGpqrOTfE93n5Hk/CTvTfK2JL86Z/JPSS6f/4P9\nhUzZnZXkjVV1fFV9R5I3JLlrJ8Z/pFs0vySXJPlgd5+T5Pokv7j6Z3HkWkJ+G0lu6e6z53+K54ot\nmmF337CZX5IPZNpwy4os4T1oDrODDjW/efX3JfnkAfc3h9lBi+YXc5i1s6zDbr+S5EeSbN3Sd2qS\nzS0PH09yXpIXJ7m3ux/r7q8k+Zskp8/rfiZJuvuuJHuXNC4OzV1JXjNffijJMZkyuG2+7U+SvCLJ\nDyT5THc/0t3/k+TTSc5Msi/JRUm+vMpB84SF8uvuG7v7lnndb03ybysbOcni778k2bW64fJ1LCPD\nzL+ZfVWSX1vRuJksmp85zM461PyS5Mokdx9wf3OYnbVQfuYw62cph9129+NJHq960lFCf5epkH4o\n04vmWzJtvXhJVb0wU2E9PcmfzetekOQjVbU3ySnLGBeHZs7v0fnqFUk+muSV3f2/8237k5yUZM98\nedODSU6a/xPOAfmzIovmlyRVtSfTB/wxmbbqsyJLyO+xJHur6o4k35Tk2u7+3CrGzmQZ78HZhUn+\ndN44y4osIT9zmB10GPmlux+tql0H3N8cZgctml9iDrNuRpxwaPNFcV2Sn6yqO5McnWRXd38pyZsz\nvUB+Pcm/zOt+IFN5vStTIf3qgHGxjar60SSvTfKzByz6RntV7G15Glkkv+7+j+5+aabD4n97yAA5\nqAXyuzvJW7r7VUl+PsnvjBkh21nCZ+jlSX5r2ePi0DzF/DZiDvO08BTy42lkkfzMYdbLsLPddvfn\nu/uC7j4vyd8nuW++/ZbuPqO7L8m0heK++TDc18/Hdv9epi8Xs0JV9cpMx8q/qrsfTvLlqnruvPjk\nJPfP//ZsudspmQ5X2WojrNxTzO/kJPdX1d75e0vp7juSnLa6kZMs9v7ryR1J0t13J9n99bYMM9ai\nn6Hz9wlP6e7Pr27UbFogv/vNYXbeIea36WDzFHOYHbBIfuYw62fZ5fOJCU9VvbWqzp+vXprktqp6\ndlV9sqqeU1Xflul7EvdU1QVV9dZ53Z/K147zZgWq6gVJfiXJq7v7v+ebP5Hk4vnyRUnuSPJXSV5a\nVS+oqmOTnJHkz7c81K7YwrhyC+R3Zqb8fizT+y5V9ZIkJr8rtOD77y+q6rqqunJ+rO9O8mB3m0Ct\n0JI+Q78vyb2rGzWbFs3PHGZnHUZ+mw62J9scZsWWkJ85zJrZtbGx+Bylqn4wyfsznWb8q0n+K9OX\ngm/K9B2kT3X3tfO6P5PpmO5nJ3ljd39qPuPtHyb55iRfTPIT3f3IwgPjkFTV65K8JdNP4iTTVqXL\nkvxGpkOm70vy2p5+KueiTIdUbyS5qbs/XFUXZjoz2clJHk6yfz78gRVYQn4vzHSa8mPn9d/gNOWr\ns4T8Tk7yu5k2Jj4r0+fqPSt9Eke4RTOcH+PCJOd299WrHT1LeA+aw+ygQ81vXva5TEfdnZDpxDTX\nJnlepjMUm8PsgAXze1OSz8YcZq0spXwCAADAwQz7zicAAABsUj4BAAAYTvkEAABgOOUTAACA4ZRP\nAAAAhlM+AQAAGE75BAAAYLj/B5uhHKCgPDRRAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe8636ccb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6cAAAHrCAYAAAAzGetOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngiAIwqj7/wbnYPabxPuNAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe86988ff98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA58AAAHrCAYAAABIPSmCAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe856d30a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot(term_list=['entrepreneur', 'manager'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### \"pos_rate\" explanation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The measurement \"pos_rate\" is the \"percentage\" of positive sentences over the total sentences, normalized to the range [0, 1], on a specific term calculated month by month. That is, let T be a term, X be the number of sentences that contain T, P be the number of positive sentences (out of X), and N be the number of negative sentences (N = X - P); pos_rate = P / X. The measurement \"pos_rate\" multiplied by 100 is the actual percentage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Month 1: 0.6  -->  60.0 %\n",
      "Month 2: 0.7  -->  70.0 %\n"
     ]
    }
   ],
   "source": [
    "# Example:\n",
    "# Given T, let's have:\n",
    "X = 200\n",
    "# For month 1:\n",
    "P = 120\n",
    "N = 80\n",
    "pos_rate = P / X\n",
    "print('Month 1:', pos_rate, ' --> ', pos_rate * 100, '%')\n",
    "# For month 2:\n",
    "P = 140\n",
    "N = 60\n",
    "pos_rate = P / X\n",
    "print('Month 2:', pos_rate, ' --> ', pos_rate * 100, '%')\n",
    "# Etc."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Numeric results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "terms_df = blaze.odo(grouped_by_term, pd.DataFrame)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>term</th>\n",
       "      <th>n_months</th>\n",
       "      <th>amount_neg</th>\n",
       "      <th>amount_pos</th>\n",
       "      <th>total_amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>34</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>44</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>26</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>30</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>46</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           term  n_months  amount_neg  amount_pos  total_amount\n",
       "0  entrepreneur         0           9          34            43\n",
       "1  entrepreneur         1           7          44            51\n",
       "2  entrepreneur         2           5          26            31\n",
       "3  entrepreneur         3           4          30            34\n",
       "4  entrepreneur         4           2          46            48"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "terms_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "terms_df['difference'] = terms_df.apply(lambda x: abs(x.amount_neg - x.amount_pos), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def restore_date(n_months):\n",
    "    return datetime(1999, 1, 1) + relativedelta(months=n_months)\n",
    "\n",
    "def print_date(d):\n",
    "    return d.strftime('%Y-%m-%d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "entrepreneur\n",
      "min\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>term</th>\n",
       "      <th>n_months</th>\n",
       "      <th>amount_neg</th>\n",
       "      <th>amount_pos</th>\n",
       "      <th>total_amount</th>\n",
       "      <th>difference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>32</td>\n",
       "      <td>10</td>\n",
       "      <td>16</td>\n",
       "      <td>26</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            term  n_months  amount_neg  amount_pos  total_amount  difference\n",
       "32  entrepreneur        32          10          16            26           6"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "date: 2001-09-01\n",
      "max\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>term</th>\n",
       "      <th>n_months</th>\n",
       "      <th>amount_neg</th>\n",
       "      <th>amount_pos</th>\n",
       "      <th>total_amount</th>\n",
       "      <th>difference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>94</td>\n",
       "      <td>68</td>\n",
       "      <td>270</td>\n",
       "      <td>338</td>\n",
       "      <td>202</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            term  n_months  amount_neg  amount_pos  total_amount  difference\n",
       "94  entrepreneur        94          68         270           338         202"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "date: 2006-11-01\n",
      "\n",
      "manager\n",
      "min\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>term</th>\n",
       "      <th>n_months</th>\n",
       "      <th>amount_neg</th>\n",
       "      <th>amount_pos</th>\n",
       "      <th>total_amount</th>\n",
       "      <th>difference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>manager</td>\n",
       "      <td>24</td>\n",
       "      <td>280</td>\n",
       "      <td>277</td>\n",
       "      <td>557</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>manager</td>\n",
       "      <td>25</td>\n",
       "      <td>262</td>\n",
       "      <td>265</td>\n",
       "      <td>527</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        term  n_months  amount_neg  amount_pos  total_amount  difference\n",
       "216  manager        24         280         277           557           3\n",
       "217  manager        25         262         265           527           3"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "date: 2001-01-01\n",
      "date: 2001-02-01\n",
      "max\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>term</th>\n",
       "      <th>n_months</th>\n",
       "      <th>amount_neg</th>\n",
       "      <th>amount_pos</th>\n",
       "      <th>total_amount</th>\n",
       "      <th>difference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>manager</td>\n",
       "      <td>117</td>\n",
       "      <td>1266</td>\n",
       "      <td>733</td>\n",
       "      <td>1999</td>\n",
       "      <td>533</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        term  n_months  amount_neg  amount_pos  total_amount  difference\n",
       "309  manager       117        1266         733          1999         533"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "date: 2008-10-01\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for term in ['entrepreneur', 'manager']:\n",
    "    term_df = terms_df[terms_df.term == term]\n",
    "    term_min = term_df.difference.min()\n",
    "    term_max = term_df.difference.max()\n",
    "    print(term)\n",
    "    print('min')\n",
    "    term_min_df = term_df[term_df.difference == term_min]\n",
    "    display(term_min_df)\n",
    "    for i, x in term_min_df.iterrows():\n",
    "        print('date:', print_date(restore_date(x.n_months)))\n",
    "    print('max')\n",
    "    term_max_df = term_df[term_df.difference == term_max]\n",
    "    display(term_max_df)\n",
    "    for i, x in term_max_df.iterrows():\n",
    "        print('date:', print_date(restore_date(x.n_months)))\n",
    "    print()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Top negative sentences that contain \"manager\" from the NYT and the FT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "negative_words = set()\n",
    "for i in range(1, 10):\n",
    "    with open('sentiment/negative_list_' + str(i) + '.txt') as f:\n",
    "        for line in f:\n",
    "            word = line.strip().lower()\n",
    "            negative_words.add(word)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5136"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(negative_words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "nyt_ft_manager_df = nyt_ft_sentences_df[nyt_ft_sentences_df.sentence.str.contains('manager', case=False)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "nyt_ft_manager_neg_df = nyt_ft_manager_df[nyt_ft_manager_df.sentiment == 'neg']\n",
    "nyt_ft_manager_neg_df = nyt_ft_manager_neg_df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>article_id</th>\n",
       "      <th>date</th>\n",
       "      <th>term</th>\n",
       "      <th>sentence</th>\n",
       "      <th>sentiment</th>\n",
       "      <th>source</th>\n",
       "      <th>n_months</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4fd20db88eb7c8105d77e511</td>\n",
       "      <td>1999-01-03 00:00:00</td>\n",
       "      <td>manager</td>\n",
       "      <td>The plan Presley and his hucksterish business ...</td>\n",
       "      <td>neg</td>\n",
       "      <td>nyt</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4fd21f878eb7c8105d7a258a</td>\n",
       "      <td>2002-09-29 00:00:00</td>\n",
       "      <td>manager</td>\n",
       "      <td>''Tight ends are becoming better utilized in c...</td>\n",
       "      <td>neg</td>\n",
       "      <td>nyt</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>4fd392158eb7c8105d8c3e07</td>\n",
       "      <td>2008-08-28 16:29:50</td>\n",
       "      <td>manager</td>\n",
       "      <td>with reporters this morning at the Brown Palac...</td>\n",
       "      <td>neg</td>\n",
       "      <td>nyt</td>\n",
       "      <td>115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>54455cd038f0d832c813eaa3</td>\n",
       "      <td>2010-04-25 00:00:00</td>\n",
       "      <td>manager</td>\n",
       "      <td>compensation for the university’s tax-free pre...</td>\n",
       "      <td>neg</td>\n",
       "      <td>nyt</td>\n",
       "      <td>135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>4fd20d7b8eb7c8105d77d9b7</td>\n",
       "      <td>1999-01-01 00:00:00</td>\n",
       "      <td>manager</td>\n",
       "      <td>AMP Ltd. Australia's biggest fund manager and ...</td>\n",
       "      <td>neg</td>\n",
       "      <td>nyt</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  article_id                date     term  \\\n",
       "1   4fd20db88eb7c8105d77e511 1999-01-03 00:00:00  manager   \n",
       "13  4fd21f878eb7c8105d7a258a 2002-09-29 00:00:00  manager   \n",
       "14  4fd392158eb7c8105d8c3e07 2008-08-28 16:29:50  manager   \n",
       "16  54455cd038f0d832c813eaa3 2010-04-25 00:00:00  manager   \n",
       "35  4fd20d7b8eb7c8105d77d9b7 1999-01-01 00:00:00  manager   \n",
       "\n",
       "                                             sentence sentiment source  \\\n",
       "1   The plan Presley and his hucksterish business ...       neg    nyt   \n",
       "13  ''Tight ends are becoming better utilized in c...       neg    nyt   \n",
       "14  with reporters this morning at the Brown Palac...       neg    nyt   \n",
       "16  compensation for the university’s tax-free pre...       neg    nyt   \n",
       "35  AMP Ltd. Australia's biggest fund manager and ...       neg    nyt   \n",
       "\n",
       "    n_months  \n",
       "1          0  \n",
       "13        44  \n",
       "14       115  \n",
       "16       135  \n",
       "35         0  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nyt_ft_manager_neg_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "125872"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(nyt_ft_manager_neg_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "nyt_ft_manager_neg_df['neg_words_count'] = nyt_ft_manager_neg_df.sentence.apply(\n",
    "    lambda x: len(negative_words.intersection(x.split())) / len(x.split())\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "nyt_ft_manager_top_neg_df = nyt_ft_manager_neg_df.sort('neg_words_count', ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>article_id</th>\n",
       "      <th>date</th>\n",
       "      <th>term</th>\n",
       "      <th>sentence</th>\n",
       "      <th>sentiment</th>\n",
       "      <th>source</th>\n",
       "      <th>n_months</th>\n",
       "      <th>neg_words_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>982169</th>\n",
       "      <td>040827000911</td>\n",
       "      <td>2004-08-27 00:00:00</td>\n",
       "      <td>manager</td>\n",
       "      <td>But don't bother to complain to the manager.</td>\n",
       "      <td>neg</td>\n",
       "      <td>ft</td>\n",
       "      <td>67</td>\n",
       "      <td>0.375000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1397587</th>\n",
       "      <td>040827005172</td>\n",
       "      <td>2004-08-27 00:00:00</td>\n",
       "      <td>manager</td>\n",
       "      <td>But don't bother to complain to the manager.</td>\n",
       "      <td>neg</td>\n",
       "      <td>ft</td>\n",
       "      <td>67</td>\n",
       "      <td>0.375000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601774</th>\n",
       "      <td>53711a8b38f0d812d61f249b</td>\n",
       "      <td>2014-05-12 15:00:37</td>\n",
       "      <td>manager</td>\n",
       "      <td>department struggles the problems inevitably s...</td>\n",
       "      <td>neg</td>\n",
       "      <td>nyt</td>\n",
       "      <td>184</td>\n",
       "      <td>0.363636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1109718</th>\n",
       "      <td>060602007978</td>\n",
       "      <td>2006-06-02 00:00:00</td>\n",
       "      <td>manager</td>\n",
       "      <td>The deluded manager is never alone.</td>\n",
       "      <td>neg</td>\n",
       "      <td>ft</td>\n",
       "      <td>89</td>\n",
       "      <td>0.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124784</th>\n",
       "      <td>5446ed8038f0d850b0935225</td>\n",
       "      <td>2010-05-30 00:00:00</td>\n",
       "      <td>manager</td>\n",
       "      <td>“It’s a bad loss there’s no doubt about it” Ma...</td>\n",
       "      <td>neg</td>\n",
       "      <td>nyt</td>\n",
       "      <td>136</td>\n",
       "      <td>0.307692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322181</th>\n",
       "      <td>515dba43cf28d0219d004db6</td>\n",
       "      <td>2011-03-08 00:00:00</td>\n",
       "      <td>manager</td>\n",
       "      <td>It was not some cruel joke by Manager Joe Gira...</td>\n",
       "      <td>neg</td>\n",
       "      <td>nyt</td>\n",
       "      <td>146</td>\n",
       "      <td>0.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>807174</th>\n",
       "      <td>5424bd5f38f0d8525e453ca4</td>\n",
       "      <td>2014-09-26 00:00:00</td>\n",
       "      <td>manager</td>\n",
       "      <td>18 tense months of oversight by a state-appoin...</td>\n",
       "      <td>neg</td>\n",
       "      <td>nyt</td>\n",
       "      <td>188</td>\n",
       "      <td>0.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87931</th>\n",
       "      <td>546acef838f0d84ca2c5cca7</td>\n",
       "      <td>2009-05-21 00:00:00</td>\n",
       "      <td>manager</td>\n",
       "      <td>Gans’s manager cringes at all the gossip and ...</td>\n",
       "      <td>neg</td>\n",
       "      <td>nyt</td>\n",
       "      <td>124</td>\n",
       "      <td>0.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293772</th>\n",
       "      <td>4fd2801f8eb7c8105d84af4e</td>\n",
       "      <td>2004-10-17 00:00:00</td>\n",
       "      <td>manager</td>\n",
       "      <td>This is what insecurity and paranoia do to a m...</td>\n",
       "      <td>neg</td>\n",
       "      <td>nyt</td>\n",
       "      <td>69</td>\n",
       "      <td>0.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>520692</th>\n",
       "      <td>4fd39b388eb7c8105d8d96ae</td>\n",
       "      <td>2010-06-23 09:50:57</td>\n",
       "      <td>manager</td>\n",
       "      <td>A manager can't lose control can he?</td>\n",
       "      <td>neg</td>\n",
       "      <td>nyt</td>\n",
       "      <td>137</td>\n",
       "      <td>0.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>573409</th>\n",
       "      <td>509e588f00315214fbb797f9</td>\n",
       "      <td>2012-11-10 00:00:00</td>\n",
       "      <td>manager</td>\n",
       "      <td>The flaw is she’s not a manager.</td>\n",
       "      <td>neg</td>\n",
       "      <td>nyt</td>\n",
       "      <td>166</td>\n",
       "      <td>0.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>781622</th>\n",
       "      <td>5292baa938f0d84336455f93</td>\n",
       "      <td>2013-11-25 00:00:00</td>\n",
       "      <td>manager</td>\n",
       "      <td>Others criticized him as a demanding manager.</td>\n",
       "      <td>neg</td>\n",
       "      <td>nyt</td>\n",
       "      <td>178</td>\n",
       "      <td>0.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>919251</th>\n",
       "      <td>4fd1f4028eb7c8105d74ca54</td>\n",
       "      <td>1999-02-07 00:00:00</td>\n",
       "      <td>manager</td>\n",
       "      <td>Ms. Lewinsky undermined critical aspects of th...</td>\n",
       "      <td>neg</td>\n",
       "      <td>nyt</td>\n",
       "      <td>1</td>\n",
       "      <td>0.272727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542637</th>\n",
       "      <td>540f3b5538f0d87641c67878</td>\n",
       "      <td>2011-06-30 00:00:00</td>\n",
       "      <td>manager</td>\n",
       "      <td>(“We’re not afraid of the Web” cracks a TouchP...</td>\n",
       "      <td>neg</td>\n",
       "      <td>nyt</td>\n",
       "      <td>149</td>\n",
       "      <td>0.272727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>970186</th>\n",
       "      <td>040714004199</td>\n",
       "      <td>2004-07-14 00:00:00</td>\n",
       "      <td>manager</td>\n",
       "      <td>\"M&amp;S is not listening to us,\" complained one h...</td>\n",
       "      <td>neg</td>\n",
       "      <td>ft</td>\n",
       "      <td>66</td>\n",
       "      <td>0.272727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1071061</th>\n",
       "      <td>040714000918</td>\n",
       "      <td>2004-07-14 00:00:00</td>\n",
       "      <td>manager</td>\n",
       "      <td>\"M&amp;S is not listening to us,\" complained one h...</td>\n",
       "      <td>neg</td>\n",
       "      <td>ft</td>\n",
       "      <td>66</td>\n",
       "      <td>0.272727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>514089</th>\n",
       "      <td>4fd399ab8eb7c8105d8d5efa</td>\n",
       "      <td>2010-03-11 15:54:30</td>\n",
       "      <td>manager</td>\n",
       "      <td>Instead of unhappy I probably should have said...</td>\n",
       "      <td>neg</td>\n",
       "      <td>nyt</td>\n",
       "      <td>134</td>\n",
       "      <td>0.268293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>583828</th>\n",
       "      <td>51fd7cbe38f0d8740ac898f2</td>\n",
       "      <td>2013-08-04 00:00:00</td>\n",
       "      <td>manager</td>\n",
       "      <td>After the game Manager Terry Collins said miss...</td>\n",
       "      <td>neg</td>\n",
       "      <td>nyt</td>\n",
       "      <td>175</td>\n",
       "      <td>0.263158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3900</th>\n",
       "      <td>4fd21e868eb7c8105d7a10b7</td>\n",
       "      <td>1999-04-02 00:00:00</td>\n",
       "      <td>manager</td>\n",
       "      <td>''Arnie'' he added ''is not a crisis manager.''</td>\n",
       "      <td>neg</td>\n",
       "      <td>nyt</td>\n",
       "      <td>3</td>\n",
       "      <td>0.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1182283</th>\n",
       "      <td>070116000964</td>\n",
       "      <td>2007-01-16 00:00:00</td>\n",
       "      <td>manager</td>\n",
       "      <td>And there's no hedge fund manager behind them.</td>\n",
       "      <td>neg</td>\n",
       "      <td>ft</td>\n",
       "      <td>96</td>\n",
       "      <td>0.250000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       article_id                date     term  \\\n",
       "982169               040827000911 2004-08-27 00:00:00  manager   \n",
       "1397587              040827005172 2004-08-27 00:00:00  manager   \n",
       "601774   53711a8b38f0d812d61f249b 2014-05-12 15:00:37  manager   \n",
       "1109718              060602007978 2006-06-02 00:00:00  manager   \n",
       "124784   5446ed8038f0d850b0935225 2010-05-30 00:00:00  manager   \n",
       "322181   515dba43cf28d0219d004db6 2011-03-08 00:00:00  manager   \n",
       "807174   5424bd5f38f0d8525e453ca4 2014-09-26 00:00:00  manager   \n",
       "87931    546acef838f0d84ca2c5cca7 2009-05-21 00:00:00  manager   \n",
       "293772   4fd2801f8eb7c8105d84af4e 2004-10-17 00:00:00  manager   \n",
       "520692   4fd39b388eb7c8105d8d96ae 2010-06-23 09:50:57  manager   \n",
       "573409   509e588f00315214fbb797f9 2012-11-10 00:00:00  manager   \n",
       "781622   5292baa938f0d84336455f93 2013-11-25 00:00:00  manager   \n",
       "919251   4fd1f4028eb7c8105d74ca54 1999-02-07 00:00:00  manager   \n",
       "542637   540f3b5538f0d87641c67878 2011-06-30 00:00:00  manager   \n",
       "970186               040714004199 2004-07-14 00:00:00  manager   \n",
       "1071061              040714000918 2004-07-14 00:00:00  manager   \n",
       "514089   4fd399ab8eb7c8105d8d5efa 2010-03-11 15:54:30  manager   \n",
       "583828   51fd7cbe38f0d8740ac898f2 2013-08-04 00:00:00  manager   \n",
       "3900     4fd21e868eb7c8105d7a10b7 1999-04-02 00:00:00  manager   \n",
       "1182283              070116000964 2007-01-16 00:00:00  manager   \n",
       "\n",
       "                                                  sentence sentiment source  \\\n",
       "982169        But don't bother to complain to the manager.       neg     ft   \n",
       "1397587       But don't bother to complain to the manager.       neg     ft   \n",
       "601774   department struggles the problems inevitably s...       neg    nyt   \n",
       "1109718                The deluded manager is never alone.       neg     ft   \n",
       "124784   “It’s a bad loss there’s no doubt about it” Ma...       neg    nyt   \n",
       "322181   It was not some cruel joke by Manager Joe Gira...       neg    nyt   \n",
       "807174   18 tense months of oversight by a state-appoin...       neg    nyt   \n",
       "87931     Gans’s manager cringes at all the gossip and ...       neg    nyt   \n",
       "293772   This is what insecurity and paranoia do to a m...       neg    nyt   \n",
       "520692                A manager can't lose control can he?       neg    nyt   \n",
       "573409                    The flaw is she’s not a manager.       neg    nyt   \n",
       "781622       Others criticized him as a demanding manager.       neg    nyt   \n",
       "919251   Ms. Lewinsky undermined critical aspects of th...       neg    nyt   \n",
       "542637   (“We’re not afraid of the Web” cracks a TouchP...       neg    nyt   \n",
       "970186   \"M&S is not listening to us,\" complained one h...       neg     ft   \n",
       "1071061  \"M&S is not listening to us,\" complained one h...       neg     ft   \n",
       "514089   Instead of unhappy I probably should have said...       neg    nyt   \n",
       "583828   After the game Manager Terry Collins said miss...       neg    nyt   \n",
       "3900       ''Arnie'' he added ''is not a crisis manager.''       neg    nyt   \n",
       "1182283     And there's no hedge fund manager behind them.       neg     ft   \n",
       "\n",
       "         n_months  neg_words_count  \n",
       "982169         67         0.375000  \n",
       "1397587        67         0.375000  \n",
       "601774        184         0.363636  \n",
       "1109718        89         0.333333  \n",
       "124784        136         0.307692  \n",
       "322181        146         0.300000  \n",
       "807174        188         0.300000  \n",
       "87931         124         0.300000  \n",
       "293772         69         0.285714  \n",
       "520692        137         0.285714  \n",
       "573409        166         0.285714  \n",
       "781622        178         0.285714  \n",
       "919251          1         0.272727  \n",
       "542637        149         0.272727  \n",
       "970186         66         0.272727  \n",
       "1071061        66         0.272727  \n",
       "514089        134         0.268293  \n",
       "583828        175         0.263158  \n",
       "3900            3         0.250000  \n",
       "1182283        96         0.250000  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nyt_ft_manager_top_neg_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 --- But don't bother to complain to the manager.\n",
      "\n",
      "2 --- But don't bother to complain to the manager.\n",
      "\n",
      "3 --- department struggles the problems inevitably stem from issues with the manager.\n",
      "\n",
      "4 --- The deluded manager is never alone.\n",
      "\n",
      "5 --- “It’s a bad loss there’s no doubt about it” Manager Joe Girardi said.\n",
      "\n",
      "6 --- It was not some cruel joke by Manager Joe Girardi.\n",
      "\n",
      "7 --- 18 tense months of oversight by a state-appointed emergency manager.\n",
      "\n",
      "8 ---  Gans’s manager cringes at all the gossip and hollow sentiment.\n",
      "\n",
      "9 --- This is what insecurity and paranoia do to a manager: they break down logic.\n",
      "\n",
      "10 --- A manager can't lose control can he?\n",
      "\n",
      "11 --- The flaw is she’s not a manager.\n",
      "\n",
      "12 --- Others criticized him as a demanding manager.\n",
      "\n",
      "13 --- Ms. Lewinsky undermined critical aspects of the House managers' obstruction case.\n",
      "\n",
      "14 --- (“We’re not afraid of the Web” cracks a TouchPad product manager.)\n",
      "\n",
      "15 --- \"M&S is not listening to us,\" complained one hedge fund manager.\n",
      "\n",
      "16 --- \"M&S is not listening to us,\" complained one hedge fund manager.\n",
      "\n",
      "17 --- Instead of unhappy I probably should have said disrespectful (to others not me) incompetent unreasonable undependable irresponsible unproductive dysfunctional (I did say that one) angry whiny or mean -- and beyond a manager's ability to repair (actually I said that too).\n",
      "\n",
      "18 --- After the game Manager Terry Collins said missing Wright was not an excuse for falling into despair and losing.\n",
      "\n",
      "19 --- ''Arnie'' he added ''is not a crisis manager.''\n",
      "\n",
      "20 --- And there's no hedge fund manager behind them.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for i, x in enumerate(nyt_ft_manager_top_neg_df.sentence):\n",
    "    print(i + 1, '---', x)\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.4.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}