Subreddit Gender Ratios.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Subreddit Gender Ratios\n",
    "\n",
    "This is an update of my previous [analysis of subreddit gender ratios][gender] project. This time I have access to better data because [/u/Stuck_In_the_Matrix] has [downloaded every publicly available Reddit comment][dataset] and made them publicly available. Additionally, the dataset is now available in [Google BigQuery][bigquery] allowing easy analysis.\n",
    "\n",
    "The dataset includes users' flair like the [Reddit flair API][api] I used previously. Notably, the new dataset also allows us to generate a list of all submitters in a subreddit, which was extremely difficult previously.\n",
    "\n",
    "Basically we will be deriving the gender for as many users as possible from their flair in various subreddits. Then we will use that set of users as a random sample of every other subbreddit and guessing the gender ratio.\n",
    "\n",
    "[/u/Stuck_In_the_Matrix]: https://www.reddit.com/user/Stuck_In_the_Matrix\n",
    "[gender]: https://np.reddit.com/r/dataisbeautiful/comments/1wtnkd/subreddit_gender_ratios_oc/cf58xcr/\n",
    "[bigquery]: https://bigquery.cloud.google.com/table/fh-bigquery:reddit_comments.2015_05\n",
    "[dataset]: https://www.reddit.com/r/datasets/comments/3bxlg7/i_have_every_publicly_available_reddit_comment/\n",
    "[api]: https://www.reddit.com/dev/api/#section_flair"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Limitations\n",
    "\n",
    "*  **We have no idea if the combined set of sampled users are representative of all Reddit users.** In fact, some subreddits in the results look over represented in the results because they share many users with one of the subreddits we used for deriving gender. We just use as many subreddits as we can for gender and hope it's good enough.\n",
    "\n",
    "*  **The number of sampled users is very small compared to the set of all commenters of each subreddit.**\n",
    "\n",
    "In my previous analysis, it was near impossible to get a list of all commenters or subscribers of a subreddit. Instead the list of users with flair in a given subreddit was used as a proxy. That had major issues because in many subreddits the commenters and set of flaired users are not always the same. For example, some subreddits only give flair to submitters, which biased the results significantly. With the new dataset of every Reddit comment, that is no longer an issue.\n",
    "\n",
    "In other words, this analysis is only mostly terrible now instead of completely terrible. I really doubt the exact percentages calculated are correct, but the relative comparisons between them and rankings look plausible.\n",
    "\n",
    "Data through the end of November 2017 is included in this analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## BigQuery analysis\n",
    "\n",
    "We will be doing almost all the analysis in BigQuery using SQL directly.\n",
    "\n",
    "I'm using [Jupyter][Jupyter] and [IPython][IPython], so I'd like a nice interface to run BigQuery SQL statements. Let's quickly define `%%bigquery` as an IPython cell magic. \n",
    "\n",
    "This is pretty hacky, I'm using tons of internal functions from [pandas-gbq]. This is mostly a modified version of [run_query()][run_query] that limits the retrieved results to a specified number of rows. It doesn't really bother handle the data types of the results either. We also add SQL syntax highlighting in the Jupyter notebook for our new magic.\n",
    "\n",
    "If you reuse this code, change `PROJECT_ID` to your own project ID from the Google Cloud Platform Console. You will also have to enable billing on the project and ensure BigQuery is enabled. You can follow the [quickstart][quickstart] in their documentation.\n",
    "\n",
    "You can add the `--verbose` flag to the magic to get status updates as it runs.\n",
    "\n",
    "[Jupyter]: https://jupyter.org/\n",
    "[IPython]: https://ipython.org/\n",
    "[pandas-gbq]: https://github.com/pydata/pandas-gbq\n",
    "[run_query]: https://github.com/pydata/pandas-gbq/blob/4cab83cefb7df190bf3e5b43168c2cb53f596c31/pandas_gbq/gbq.py#L458\n",
    "[quickstart]: https://cloud.google.com/bigquery/quickstart-web-ui\n",
    "\n",
    "Becauase my `%%bigquery` code is horribly hacky, make sure you have the exact version of `pandas-gbq` that I used:\n",
    "\n",
    "```\n",
    "pip3 install -e git+https://github.com/pydata/pandas-gbq@4cab83cefb7df190bf3e5b43168c2cb53f596c31#egg=pandas-gbq\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "PROJECT_ID = 'bburky'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas\n",
    "from pandas_gbq import gbq\n",
    "from IPython.core.magic import register_cell_magic\n",
    "from IPython.core.magic_arguments import (\n",
    "    argument, magic_arguments, parse_argstring)\n",
    "from google.auth.exceptions import RefreshError\n",
    "from google.cloud.bigquery import QueryJobConfig\n",
    "from concurrent.futures import TimeoutError\n",
    "import itertools\n",
    "\n",
    "\n",
    "@register_cell_magic\n",
    "@magic_arguments()\n",
    "@argument('-d', '--dialect', default='standard',\n",
    "          choices=['standard', 'legacy'])\n",
    "@argument('--writedisposition', default='WRITE_EMPTY',\n",
    "          choices=['WRITE_TRUNCATE', 'WRITE_APPEND', 'WRITE_EMPTY'])\n",
    "@argument('-v', '--verbose', action='store_true')\n",
    "@argument('--limit', type=int, default=0,\n",
    "          help='Limit rows or retreived results to this number')\n",
    "@argument('--destinationtable',\n",
    "          help='Save query results to destination table')\n",
    "def bigquery(line, cell):\n",
    "    args = parse_argstring(bigquery, line)\n",
    "    query = cell\n",
    "\n",
    "    connector = gbq.GbqConnector(\n",
    "        PROJECT_ID, reauth=False, verbose=args.verbose,\n",
    "        dialect=args.dialect, auth_local_webserver=False)\n",
    "\n",
    "    job_config = {\n",
    "        'query': {\n",
    "            'writeDisposition': args.writedisposition,\n",
    "        }\n",
    "    }\n",
    "\n",
    "    if args.destinationtable:\n",
    "        dataset_id, table_id = args.destinationtable.rsplit('.', 1)\n",
    "        job_config['query']['destinationTable'] = {\n",
    "            'projectId': PROJECT_ID,\n",
    "            'datasetId': dataset_id,\n",
    "            'tableId': table_id,\n",
    "        }\n",
    "\n",
    "    connector._start_timer()\n",
    "    try:\n",
    "        connector._print('Requesting query... ', end=\"\")\n",
    "        query_reply = connector.client.query(\n",
    "            query,\n",
    "            job_config=QueryJobConfig.from_api_repr(job_config['query']))\n",
    "        connector._print('ok.')\n",
    "    except (RefreshError, ValueError):\n",
    "        if connector.private_key:\n",
    "            raise gbq.AccessDenied(\n",
    "                \"The service account credentials are not valid\")\n",
    "        else:\n",
    "            raise gbq.AccessDenied(\n",
    "                \"The credentials have been revoked or expired, \"\n",
    "                \"please re-run the application to re-authorize\")\n",
    "    except connector.http_error as ex:\n",
    "        connector.process_http_error(ex)\n",
    "\n",
    "    job_id = query_reply.job_id\n",
    "    connector._print('Job ID: %s\\nQuery running...' % job_id)\n",
    "\n",
    "    while query_reply.state != 'DONE':\n",
    "        connector.print_elapsed_seconds('  Elapsed', 's. Waiting...')\n",
    "\n",
    "        timeout_ms = job_config['query'].get('timeoutMs')\n",
    "        if timeout_ms and timeout_ms < connector.get_elapsed_seconds() * 1000:\n",
    "            raise QueryTimeout('Query timeout: {} ms'.format(timeout_ms))\n",
    "\n",
    "        timeout_sec = 1.0\n",
    "        if timeout_ms:\n",
    "            # Wait at most 1 second so we can show progress bar\n",
    "            timeout_sec = min(1.0, timeout_ms / 1000.0)\n",
    "\n",
    "        try:\n",
    "            query_reply.result(timeout=timeout_sec)\n",
    "        except TimeoutError:\n",
    "            # Use our own timeout logic\n",
    "            pass\n",
    "        except connector.http_error as ex:\n",
    "            connector.process_http_error(ex)\n",
    "\n",
    "    if connector.verbose:\n",
    "        if query_reply.cache_hit:\n",
    "            connector._print('Query done.\\nCache hit.\\n')\n",
    "        else:\n",
    "            bytes_processed = query_reply.total_bytes_processed or 0\n",
    "            bytes_billed = query_reply.total_bytes_billed or 0\n",
    "            connector._print('Query done.\\nProcessed: {} Billed: {}'.format(\n",
    "                connector.sizeof_fmt(bytes_processed),\n",
    "                connector.sizeof_fmt(bytes_billed)))\n",
    "            connector._print('Standard price: ${:,.2f} USD\\n'.format(\n",
    "                bytes_billed * connector.query_price_for_TB))\n",
    "\n",
    "        connector._print('Retrieving results...')\n",
    "\n",
    "    try:\n",
    "        rows_iter = query_reply.result()\n",
    "    except connector.http_error as ex:\n",
    "        connector.process_http_error(ex)\n",
    "    if args.limit:\n",
    "        connector._print('  Limiting results to {} rows'.format(args.limit))\n",
    "        result_rows = list(itertools.islice(rows_iter, args.limit))\n",
    "    else:\n",
    "        result_rows = list(rows_iter)\n",
    "    total_rows = rows_iter.total_rows\n",
    "    schema = {\n",
    "        'fields': [\n",
    "            field.to_api_repr()\n",
    "            for field in rows_iter.schema],\n",
    "    }\n",
    "\n",
    "    # print basic query stats\n",
    "    connector._print('Got {} of {} rows.\\n'.format(\n",
    "        len(result_rows), total_rows))\n",
    "\n",
    "    return gbq._parse_data(schema, result_rows)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "IPython.CodeCell.options_default.highlight_modes['magic_text/x-sql'] = {'reg':[/^%%bigquery/]};"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%javascript\n",
    "IPython.CodeCell.options_default.highlight_modes['magic_text/x-sql'] = {'reg':[/^%%bigquery/]};"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First get a list of every user on reddit's flair in each subreddit. Save this to a `userflair` table. Limit the returned results to 10 rows to avoid downloading the entire table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>author</th>\n",
       "      <th>subreddit</th>\n",
       "      <th>author_flair_text</th>\n",
       "      <th>author_flair_css_class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SuperSonicMC</td>\n",
       "      <td>friendsafari</td>\n",
       "      <td>SonicBoom: 3926-5720-7723 [Fighting:Mienfoo,Sa...</td>\n",
       "      <td>mienfoo sawk tyrogue fighting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jakester5112</td>\n",
       "      <td>MLBTheShow</td>\n",
       "      <td>Rating: 1513</td>\n",
       "      <td>empty-athletics</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tommofrog</td>\n",
       "      <td>csgobetting</td>\n",
       "      <td></td>\n",
       "      <td>virtuspro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>TentacleBird</td>\n",
       "      <td>changemyview</td>\n",
       "      <td>1∆</td>\n",
       "      <td>points</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>StSob</td>\n",
       "      <td>learndota2</td>\n",
       "      <td>Silencer</td>\n",
       "      <td>silencer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ScradleyGymson</td>\n",
       "      <td>pcmasterrace</td>\n",
       "      <td>SenorOiram</td>\n",
       "      <td>i-desk-steam</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>MikeWizowski</td>\n",
       "      <td>Gunners</td>\n",
       "      <td>liked Per before it was cool</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Zerockk</td>\n",
       "      <td>leagueoflegends</td>\n",
       "      <td></td>\n",
       "      <td>twistedfate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>SlipClutch</td>\n",
       "      <td>MMA</td>\n",
       "      <td>Team Cruz</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>WhaterBlue</td>\n",
       "      <td>GlobalOffensive</td>\n",
       "      <td>Legendary Eagle</td>\n",
       "      <td>rank legendary-eagle</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           author        subreddit  \\\n",
       "0    SuperSonicMC     friendsafari   \n",
       "1    Jakester5112       MLBTheShow   \n",
       "2       tommofrog      csgobetting   \n",
       "3    TentacleBird     changemyview   \n",
       "4           StSob       learndota2   \n",
       "5  ScradleyGymson     pcmasterrace   \n",
       "6    MikeWizowski          Gunners   \n",
       "7         Zerockk  leagueoflegends   \n",
       "8      SlipClutch              MMA   \n",
       "9      WhaterBlue  GlobalOffensive   \n",
       "\n",
       "                                   author_flair_text  \\\n",
       "0  SonicBoom: 3926-5720-7723 [Fighting:Mienfoo,Sa...   \n",
       "1                                       Rating: 1513   \n",
       "2                                                      \n",
       "3                                                 1∆   \n",
       "4                                           Silencer   \n",
       "5                                         SenorOiram   \n",
       "6                       liked Per before it was cool   \n",
       "7                                                      \n",
       "8                                          Team Cruz   \n",
       "9                                    Legendary Eagle   \n",
       "\n",
       "          author_flair_css_class  \n",
       "0  mienfoo sawk tyrogue fighting  \n",
       "1                empty-athletics  \n",
       "2                      virtuspro  \n",
       "3                         points  \n",
       "4                       silencer  \n",
       "5                   i-desk-steam  \n",
       "6                                 \n",
       "7                    twistedfate  \n",
       "8                                 \n",
       "9           rank legendary-eagle  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%bigquery --limit=10 --destinationtable=flair.userflair\n",
    "SELECT\n",
    "  DISTINCT author,\n",
    "  subreddit,\n",
    "  author_flair_text,\n",
    "  author_flair_css_class\n",
    "FROM\n",
    "  `fh-bigquery.reddit_comments.201*`\n",
    "WHERE\n",
    "  author_flair_text IS NOT NULL\n",
    "  OR author_flair_css_class IS NOT NULL;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Male and Female Flair\n",
    "\n",
    "Then, search for all potentially gendered flair. We're searching for flair css classes that contains the substrings \"male\" or \"female\" with a regex. Order the list by the number of users with each flair css class and limit the results to flair that occurs greater than 1000 times.\n",
    "\n",
    "I don't claim to be the best at SQL, so some of these queries could be more optimal."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>subreddit</th>\n",
       "      <th>num_flair</th>\n",
       "      <th>gender</th>\n",
       "      <th>author_flair_css_class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AskMen</td>\n",
       "      <td>32676</td>\n",
       "      <td>male</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AskWomen</td>\n",
       "      <td>21870</td>\n",
       "      <td>female</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AskWomen</td>\n",
       "      <td>16886</td>\n",
       "      <td>male</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AskMen</td>\n",
       "      <td>12245</td>\n",
       "      <td>female</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AskMenOver30</td>\n",
       "      <td>5558</td>\n",
       "      <td>male</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>AskWomenOver30</td>\n",
       "      <td>2477</td>\n",
       "      <td>female</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>sexover30</td>\n",
       "      <td>1285</td>\n",
       "      <td>male</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        subreddit num_flair  gender author_flair_css_class\n",
       "0          AskMen     32676    male                   male\n",
       "1        AskWomen     21870  female                 female\n",
       "2        AskWomen     16886    male                   male\n",
       "3          AskMen     12245  female                 female\n",
       "4    AskMenOver30      5558    male                   male\n",
       "5  AskWomenOver30      2477  female                 female\n",
       "6       sexover30      1285    male                   male"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%bigquery\n",
    "SELECT\n",
    "  subreddit,\n",
    "  num_flair,\n",
    "  gender,\n",
    "  flair.author_flair_css_class\n",
    "FROM (\n",
    "  SELECT\n",
    "    subreddit,\n",
    "    author_flair_css_class,\n",
    "    REGEXP_EXTRACT(\n",
    "      LOWER(author_flair_css_class),\n",
    "      '(?:fe)?male') AS gender,\n",
    "    COUNT(*) AS num_flair\n",
    "  FROM\n",
    "    flair.userflair\n",
    "  GROUP BY\n",
    "    subreddit,\n",
    "    author_flair_css_class,\n",
    "    gender) AS flair\n",
    "WHERE\n",
    "  gender IS NOT NULL\n",
    "  AND num_flair > 1000\n",
    "ORDER BY\n",
    "  num_flair DESC"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After looking at the results, and manually checking how the the subreddits use flair, we can use flair from the following subreddits:\n",
    "\n",
    "*  [/r/AskMen](https://reddit.com/r/AskMen)\n",
    "*  [/r/AskWomen](https://reddit.com/r/AskWomen)\n",
    "*  [/r/AskMenOver30](https://reddit.com/r/AskMenOver30)\n",
    "*  [/r/AskWomenOver30](https://reddit.com/r/AskWomenOver30)\n",
    "*  [/r/sexover30](https://reddit.com/r/sexover30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pink and Blue\n",
    "\n",
    "Some subreddits use pink/blue colors to indicate genders. Let's search the flair CSS classes for that too. We use a regular expression to easily search for the strings anywhere within the flair css class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>subreddit</th>\n",
       "      <th>num_flair</th>\n",
       "      <th>gender</th>\n",
       "      <th>author_flair_css_class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>tall</td>\n",
       "      <td>22745</td>\n",
       "      <td>male</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Android</td>\n",
       "      <td>15075</td>\n",
       "      <td>male</td>\n",
       "      <td>userBlue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>short</td>\n",
       "      <td>6819</td>\n",
       "      <td>male</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MechanicalKeyboards</td>\n",
       "      <td>6713</td>\n",
       "      <td>male</td>\n",
       "      <td>mxblue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>gainit</td>\n",
       "      <td>5847</td>\n",
       "      <td>male</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CasualConversation</td>\n",
       "      <td>5304</td>\n",
       "      <td>male</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>bjj</td>\n",
       "      <td>5064</td>\n",
       "      <td>male</td>\n",
       "      <td>blue-belt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>tall</td>\n",
       "      <td>5026</td>\n",
       "      <td>female</td>\n",
       "      <td>pink</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>weddingplanning</td>\n",
       "      <td>4845</td>\n",
       "      <td>male</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Random_Acts_Of_Amazon</td>\n",
       "      <td>3706</td>\n",
       "      <td>female</td>\n",
       "      <td>hotpink</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Cubers</td>\n",
       "      <td>3242</td>\n",
       "      <td>male</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>gameswap</td>\n",
       "      <td>2949</td>\n",
       "      <td>male</td>\n",
       "      <td>blueshroom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Agario</td>\n",
       "      <td>2632</td>\n",
       "      <td>male</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>gonewildcurvy</td>\n",
       "      <td>2524</td>\n",
       "      <td>female</td>\n",
       "      <td>verifypink</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>weddingplanning</td>\n",
       "      <td>2506</td>\n",
       "      <td>female</td>\n",
       "      <td>pink</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>gonewildaudio</td>\n",
       "      <td>2099</td>\n",
       "      <td>male</td>\n",
       "      <td>verifyblackblue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>UIUC</td>\n",
       "      <td>2085</td>\n",
       "      <td>male</td>\n",
       "      <td>bluei</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>destiny2</td>\n",
       "      <td>1991</td>\n",
       "      <td>male</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>mylittlepony</td>\n",
       "      <td>1920</td>\n",
       "      <td>female</td>\n",
       "      <td>pinkiepie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>PS4</td>\n",
       "      <td>1877</td>\n",
       "      <td>male</td>\n",
       "      <td>ps-blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>DebateAChristian</td>\n",
       "      <td>1857</td>\n",
       "      <td>male</td>\n",
       "      <td>blue brackets</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Agario</td>\n",
       "      <td>1830</td>\n",
       "      <td>female</td>\n",
       "      <td>pink</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Supernatural</td>\n",
       "      <td>1816</td>\n",
       "      <td>male</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>short</td>\n",
       "      <td>1781</td>\n",
       "      <td>female</td>\n",
       "      <td>pink</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>gonewildaudio</td>\n",
       "      <td>1574</td>\n",
       "      <td>female</td>\n",
       "      <td>verifyblackpink</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>ModelUSGov</td>\n",
       "      <td>1488</td>\n",
       "      <td>male</td>\n",
       "      <td>Blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>mildlyinfuriating</td>\n",
       "      <td>1438</td>\n",
       "      <td>male</td>\n",
       "      <td>Blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>ABDL</td>\n",
       "      <td>1436</td>\n",
       "      <td>male</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>bjj</td>\n",
       "      <td>1419</td>\n",
       "      <td>male</td>\n",
       "      <td>blue-belt-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>curlyhair</td>\n",
       "      <td>1387</td>\n",
       "      <td>male</td>\n",
       "      <td>blue2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>MechanicalKeyboards</td>\n",
       "      <td>1337</td>\n",
       "      <td>male</td>\n",
       "      <td>mxblue2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>proED</td>\n",
       "      <td>1335</td>\n",
       "      <td>male</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>ACTrade</td>\n",
       "      <td>1308</td>\n",
       "      <td>female</td>\n",
       "      <td>Pink</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>CasualConversation</td>\n",
       "      <td>1302</td>\n",
       "      <td>female</td>\n",
       "      <td>pink</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>bjj</td>\n",
       "      <td>1257</td>\n",
       "      <td>male</td>\n",
       "      <td>blue-belt-2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>cemu</td>\n",
       "      <td>1219</td>\n",
       "      <td>male</td>\n",
       "      <td>blackandblue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>curlyhair</td>\n",
       "      <td>1201</td>\n",
       "      <td>female</td>\n",
       "      <td>pink</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>MechanicalKeyboards</td>\n",
       "      <td>1139</td>\n",
       "      <td>male</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Android</td>\n",
       "      <td>1111</td>\n",
       "      <td>female</td>\n",
       "      <td>userPink</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>androidapps</td>\n",
       "      <td>1034</td>\n",
       "      <td>male</td>\n",
       "      <td>bluegrey</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>PowerTV</td>\n",
       "      <td>1020</td>\n",
       "      <td>male</td>\n",
       "      <td>blueflaircop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                subreddit num_flair  gender author_flair_css_class\n",
       "0                    tall     22745    male                   blue\n",
       "1                 Android     15075    male               userBlue\n",
       "2                   short      6819    male                   blue\n",
       "3     MechanicalKeyboards      6713    male                 mxblue\n",
       "4                  gainit      5847    male                   blue\n",
       "5      CasualConversation      5304    male                   blue\n",
       "6                     bjj      5064    male              blue-belt\n",
       "7                    tall      5026  female                   pink\n",
       "8         weddingplanning      4845    male                   blue\n",
       "9   Random_Acts_Of_Amazon      3706  female                hotpink\n",
       "10                 Cubers      3242    male                   blue\n",
       "11               gameswap      2949    male             blueshroom\n",
       "12                 Agario      2632    male                   blue\n",
       "13          gonewildcurvy      2524  female             verifypink\n",
       "14        weddingplanning      2506  female                   pink\n",
       "15          gonewildaudio      2099    male        verifyblackblue\n",
       "16                   UIUC      2085    male                  bluei\n",
       "17               destiny2      1991    male                   blue\n",
       "18           mylittlepony      1920  female              pinkiepie\n",
       "19                    PS4      1877    male                ps-blue\n",
       "20       DebateAChristian      1857    male          blue brackets\n",
       "21                 Agario      1830  female                   pink\n",
       "22           Supernatural      1816    male                   blue\n",
       "23                  short      1781  female                   pink\n",
       "24          gonewildaudio      1574  female        verifyblackpink\n",
       "25             ModelUSGov      1488    male                   Blue\n",
       "26      mildlyinfuriating      1438    male                   Blue\n",
       "27                   ABDL      1436    male                   blue\n",
       "28                    bjj      1419    male            blue-belt-1\n",
       "29              curlyhair      1387    male                  blue2\n",
       "30    MechanicalKeyboards      1337    male                mxblue2\n",
       "31                  proED      1335    male                   blue\n",
       "32                ACTrade      1308  female                   Pink\n",
       "33     CasualConversation      1302  female                   pink\n",
       "34                    bjj      1257    male            blue-belt-2\n",
       "35                   cemu      1219    male           blackandblue\n",
       "36              curlyhair      1201  female                   pink\n",
       "37    MechanicalKeyboards      1139    male                   blue\n",
       "38                Android      1111  female               userPink\n",
       "39            androidapps      1034    male               bluegrey\n",
       "40                PowerTV      1020    male           blueflaircop"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%bigquery\n",
    "SELECT\n",
    "  subreddit,\n",
    "  num_flair,\n",
    "  CASE\n",
    "    WHEN color = 'pink' THEN 'female'\n",
    "    WHEN color = 'blue' THEN 'male'\n",
    "  END AS gender,\n",
    "  author_flair_css_class\n",
    "FROM (\n",
    "  SELECT\n",
    "    subreddit,\n",
    "    REGEXP_EXTRACT(\n",
    "      LOWER(author_flair_css_class),\n",
    "      'pink|blue') AS color,\n",
    "    COUNT(*) AS num_flair,\n",
    "    author_flair_css_class\n",
    "  FROM\n",
    "    flair.userflair\n",
    "  GROUP BY\n",
    "    subreddit,\n",
    "    color,\n",
    "    author_flair_css_class)\n",
    "WHERE\n",
    "  color IS NOT NULL\n",
    "  AND num_flair > 1000\n",
    "ORDER BY\n",
    "  num_flair DESC;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Only [/r/tall](https://reddit.com/r/tall) and [/r/short](https://reddit.com/r/short) appear to have greater than 1000 users with pink or blue flair to indicate gender. Others subreddits use pink and blue flair, but the subreddit rules don't necessarily suggest they were  gender related."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### A/S/L?\n",
    "\n",
    "Let's attempt to parse all flair text on Reddit as A/S/L strings. Parse the flair text using a regular expression and look for a substring containing two slashes around an \"M\" or \"F\", case insensitively, with optional whitespace. The M or F is extracted with a capturing group and is then converted to the string \"male\" or \"female\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>subreddit</th>\n",
       "      <th>num_flair</th>\n",
       "      <th>gender</th>\n",
       "      <th>sample_flair</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>OkCupid</td>\n",
       "      <td>10839</td>\n",
       "      <td>male</td>\n",
       "      <td>19/m/CO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>keto</td>\n",
       "      <td>5454</td>\n",
       "      <td>male</td>\n",
       "      <td>21/M/5'8\" | SW: 295 | CW: 235 | GW: 165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>OkCupid</td>\n",
       "      <td>4282</td>\n",
       "      <td>female</td>\n",
       "      <td>28/F/PA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>keto</td>\n",
       "      <td>4180</td>\n",
       "      <td>female</td>\n",
       "      <td>37/F/5'10\" SW:252 CW:150 Goal Weight Achieved</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>childfree</td>\n",
       "      <td>2962</td>\n",
       "      <td>female</td>\n",
       "      <td>23/F/Furbabies 4 lyfe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>xxketo</td>\n",
       "      <td>2356</td>\n",
       "      <td>female</td>\n",
       "      <td>26/F/5'3\" | SW-156 | CW-148 | GW-120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>childfree</td>\n",
       "      <td>2038</td>\n",
       "      <td>male</td>\n",
       "      <td>28/M/Alberta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>LGBTeens</td>\n",
       "      <td>1657</td>\n",
       "      <td>male</td>\n",
       "      <td>18/M/NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>loseit</td>\n",
       "      <td>1326</td>\n",
       "      <td>female</td>\n",
       "      <td>26/F/5'6'' SW:248 CW:202 GW:154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Tinder</td>\n",
       "      <td>1261</td>\n",
       "      <td>male</td>\n",
       "      <td>24/M/S</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   subreddit num_flair  gender                                   sample_flair\n",
       "0    OkCupid     10839    male                                        19/m/CO\n",
       "1       keto      5454    male        21/M/5'8\" | SW: 295 | CW: 235 | GW: 165\n",
       "2    OkCupid      4282  female                                        28/F/PA\n",
       "3       keto      4180  female  37/F/5'10\" SW:252 CW:150 Goal Weight Achieved\n",
       "4  childfree      2962  female                          23/F/Furbabies 4 lyfe\n",
       "5     xxketo      2356  female           26/F/5'3\" | SW-156 | CW-148 | GW-120\n",
       "6  childfree      2038    male                                   28/M/Alberta\n",
       "7   LGBTeens      1657    male                                        18/M/NY\n",
       "8     loseit      1326  female                26/F/5'6'' SW:248 CW:202 GW:154\n",
       "9     Tinder      1261    male                                         24/M/S"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%bigquery\n",
    "SELECT\n",
    "  subreddit,\n",
    "  num_flair,\n",
    "  CASE\n",
    "    WHEN asl = 'm' THEN 'male'\n",
    "    WHEN asl = 'f' THEN 'female'\n",
    "  END AS gender,\n",
    "  sample_flair\n",
    "FROM (\n",
    "  SELECT\n",
    "    subreddit,\n",
    "    REGEXP_EXTRACT(\n",
    "        LOWER(author_flair_text),\n",
    "        '^[^/]+/(m|f)/[^/]+$') AS asl,\n",
    "    COUNT(*) AS num_flair,\n",
    "    ANY_VALUE(author_flair_text) as sample_flair\n",
    "  FROM\n",
    "    flair.userflair\n",
    "  GROUP BY\n",
    "    subreddit,\n",
    "    asl)\n",
    "WHERE\n",
    "  asl IS NOT NULL\n",
    "  AND num_flair > 1000\n",
    "ORDER BY\n",
    "  num_flair DESC;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following subreddits have greater than 1000 male or female users with A/S/L flair:\n",
    "\n",
    "*  [/r/OkCupid](https://www.reddit.com/r/OkCupid)\n",
    "*  [/r/keto](https://www.reddit.com/r/keto)\n",
    "*  [/r/childfree](https://www.reddit.com/r/childfree)\n",
    "*  [/r/xxketo](https://www.reddit.com/r/xxketo)\n",
    "*  [/r/LGBTeens](https://www.reddit.com/r/LGBTeens)\n",
    "*  [/r/loseit](https://www.reddit.com/r/loseit)\n",
    "*  [/r/Tinder](https://www.reddit.com/r/Tinder)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 27M\n",
    "\n",
    "After looking more carefully at the A/S/L results, I noticed some subreddits use flair of the format \"27M\", \"M 27\" or just an \"M\" within a string of loosely structured text. We use `\\p{L}` in the regex to not match any Unicode letters (otherwise things like \"Bayern München\" match the regex). Apostrophes must also be excluded from our delimiters or the \"m\" will be matched from the word \"I'm\". A period and dollar sign must be excluded because things like \"1.71m\" or \"$1.5M\" could be matched."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>subreddit</th>\n",
       "      <th>asl</th>\n",
       "      <th>num</th>\n",
       "      <th>author_flair_text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>keto</td>\n",
       "      <td>m</td>\n",
       "      <td>31974</td>\n",
       "      <td>40/M/6'2\" | SW: 255 | CW: 184 | GW: 185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>loseit</td>\n",
       "      <td>f</td>\n",
       "      <td>27250</td>\n",
       "      <td>28F 5'7\" | SW 212.6 | CW 202.6 | GW 147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>keto</td>\n",
       "      <td>f</td>\n",
       "      <td>22952</td>\n",
       "      <td>27/f/5'3|SW:198.5|CW:161.6|GW:135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>OkCupid</td>\n",
       "      <td>m</td>\n",
       "      <td>15235</td>\n",
       "      <td>22/M gay af</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>pokemontrades</td>\n",
       "      <td>m</td>\n",
       "      <td>14531</td>\n",
       "      <td>2595-5042-4008 || Joshua (M)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>loseit</td>\n",
       "      <td>m</td>\n",
       "      <td>13804</td>\n",
       "      <td>M27/6'3\"/SW 410 CW 360 GW 240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>xxketo</td>\n",
       "      <td>f</td>\n",
       "      <td>13730</td>\n",
       "      <td>F/27/5'4\" | SW 161 | CW 150 | GW 125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>medicalschool</td>\n",
       "      <td>m</td>\n",
       "      <td>8100</td>\n",
       "      <td>M-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>proED</td>\n",
       "      <td>f</td>\n",
       "      <td>7644</td>\n",
       "      <td>4'11| CW 104 | GW: 100| 20F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>OkCupid</td>\n",
       "      <td>f</td>\n",
       "      <td>6480</td>\n",
       "      <td>21/F/NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>childfree</td>\n",
       "      <td>f</td>\n",
       "      <td>6343</td>\n",
       "      <td>32/F/furbabies</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>LGBTeens</td>\n",
       "      <td>m</td>\n",
       "      <td>5192</td>\n",
       "      <td>16 | Gay | M | IL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>CFB</td>\n",
       "      <td>m</td>\n",
       "      <td>4903</td>\n",
       "      <td>Texas A&amp;amp;M Aggies</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>childfree</td>\n",
       "      <td>m</td>\n",
       "      <td>4101</td>\n",
       "      <td>29/M/Upstate NY and Single</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Pokemongiveaway</td>\n",
       "      <td>m</td>\n",
       "      <td>3195</td>\n",
       "      <td>0319-1418-1967 | Slaapzak (M)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>spikes</td>\n",
       "      <td>m</td>\n",
       "      <td>2820</td>\n",
       "      <td>S: In Flux | M: Living End</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>SVExchange</td>\n",
       "      <td>m</td>\n",
       "      <td>2611</td>\n",
       "      <td>4270-3630-0138 || Ryan (UM, M, αS, X) || 2507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>fatlogic</td>\n",
       "      <td>f</td>\n",
       "      <td>2319</td>\n",
       "      <td>27F 5'3\" | SW: 151 | CW: 125 | GW: 115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>MechanicalKeyboards</td>\n",
       "      <td>m</td>\n",
       "      <td>2238</td>\n",
       "      <td>93 Model M | QFR MX Blues</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>CompetitiveWoW</td>\n",
       "      <td>m</td>\n",
       "      <td>2027</td>\n",
       "      <td>4/10M Windwalker</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>financialindependence</td>\n",
       "      <td>m</td>\n",
       "      <td>1890</td>\n",
       "      <td>32m/37k :: 52m/37k/1m (2017 USD / 2037 ER)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>rawdenim</td>\n",
       "      <td>f</td>\n",
       "      <td>1889</td>\n",
       "      <td>N&amp;amp;F E3 WG / UB 101 / OldBlueCo 14.5oz Extr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Tinder</td>\n",
       "      <td>m</td>\n",
       "      <td>1755</td>\n",
       "      <td>20/M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>infj</td>\n",
       "      <td>m</td>\n",
       "      <td>1705</td>\n",
       "      <td>INFJ, 31M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>100DaysofKeto</td>\n",
       "      <td>f</td>\n",
       "      <td>1484</td>\n",
       "      <td>31F | 5'3'' | SW: 151.2 | CW: 146.8 | GW1: 130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>headphones</td>\n",
       "      <td>m</td>\n",
       "      <td>1359</td>\n",
       "      <td>ATH M50, HiFiMAN RE-400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>infj</td>\n",
       "      <td>f</td>\n",
       "      <td>1323</td>\n",
       "      <td>INFJ, 33, f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>LetItDie</td>\n",
       "      <td>f</td>\n",
       "      <td>1224</td>\n",
       "      <td>30F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>infertility</td>\n",
       "      <td>f</td>\n",
       "      <td>1040</td>\n",
       "      <td>31F, Severe MFI, Secondary Infertitlity, TTC 1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>fatlogic</td>\n",
       "      <td>m</td>\n",
       "      <td>1015</td>\n",
       "      <td>M | 6'0 | Sep 2014 - 350 | CW 223</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                subreddit asl    num  \\\n",
       "0                    keto   m  31974   \n",
       "1                  loseit   f  27250   \n",
       "2                    keto   f  22952   \n",
       "3                 OkCupid   m  15235   \n",
       "4           pokemontrades   m  14531   \n",
       "5                  loseit   m  13804   \n",
       "6                  xxketo   f  13730   \n",
       "7           medicalschool   m   8100   \n",
       "8                   proED   f   7644   \n",
       "9                 OkCupid   f   6480   \n",
       "10              childfree   f   6343   \n",
       "11               LGBTeens   m   5192   \n",
       "12                    CFB   m   4903   \n",
       "13              childfree   m   4101   \n",
       "14        Pokemongiveaway   m   3195   \n",
       "15                 spikes   m   2820   \n",
       "16             SVExchange   m   2611   \n",
       "17               fatlogic   f   2319   \n",
       "18    MechanicalKeyboards   m   2238   \n",
       "19         CompetitiveWoW   m   2027   \n",
       "20  financialindependence   m   1890   \n",
       "21               rawdenim   f   1889   \n",
       "22                 Tinder   m   1755   \n",
       "23                   infj   m   1705   \n",
       "24          100DaysofKeto   f   1484   \n",
       "25             headphones   m   1359   \n",
       "26                   infj   f   1323   \n",
       "27               LetItDie   f   1224   \n",
       "28            infertility   f   1040   \n",
       "29               fatlogic   m   1015   \n",
       "\n",
       "                                    author_flair_text  \n",
       "0             40/M/6'2\" | SW: 255 | CW: 184 | GW: 185  \n",
       "1             28F 5'7\" | SW 212.6 | CW 202.6 | GW 147  \n",
       "2                   27/f/5'3|SW:198.5|CW:161.6|GW:135  \n",
       "3                                         22/M gay af  \n",
       "4                        2595-5042-4008 || Joshua (M)  \n",
       "5                       M27/6'3\"/SW 410 CW 360 GW 240  \n",
       "6                F/27/5'4\" | SW 161 | CW 150 | GW 125  \n",
       "7                                                 M-1  \n",
       "8                         4'11| CW 104 | GW: 100| 20F  \n",
       "9                                             21/F/NY  \n",
       "10                                     32/F/furbabies  \n",
       "11                                  16 | Gay | M | IL  \n",
       "12                               Texas A&amp;M Aggies  \n",
       "13                         29/M/Upstate NY and Single  \n",
       "14                      0319-1418-1967 | Slaapzak (M)  \n",
       "15                         S: In Flux | M: Living End  \n",
       "16      4270-3630-0138 || Ryan (UM, M, αS, X) || 2507  \n",
       "17             27F 5'3\" | SW: 151 | CW: 125 | GW: 115  \n",
       "18                          93 Model M | QFR MX Blues  \n",
       "19                                   4/10M Windwalker  \n",
       "20         32m/37k :: 52m/37k/1m (2017 USD / 2037 ER)  \n",
       "21  N&amp;F E3 WG / UB 101 / OldBlueCo 14.5oz Extr...  \n",
       "22                                               20/M  \n",
       "23                                          INFJ, 31M  \n",
       "24     31F | 5'3'' | SW: 151.2 | CW: 146.8 | GW1: 130  \n",
       "25                            ATH M50, HiFiMAN RE-400  \n",
       "26                                        INFJ, 33, f  \n",
       "27                                                30F  \n",
       "28  31F, Severe MFI, Secondary Infertitlity, TTC 1...  \n",
       "29                  M | 6'0 | Sep 2014 - 350 | CW 223  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%bigquery\n",
    "SELECT *\n",
    "FROM (\n",
    "    SELECT\n",
    "      subreddit,\n",
    "      REGEXP_EXTRACT(\n",
    "        LOWER(author_flair_text),\n",
    "        \"(?:^|[^\\\\p{L}0-9'\\\\.\\\\$])\\\\s*(?:\\\\d\\\\d)?\\\\s*(f|m)\\\\s*(?:\\\\d\\\\d)?\\\\s*(?:$|[^\\\\p{L}0-9'\\\\.])\") AS asl,\n",
    "      COUNT(*) AS num,\n",
    "      ANY_VALUE(author_flair_text) as author_flair_text\n",
    "    FROM\n",
    "      flair.userflair\n",
    "    GROUP BY\n",
    "      subreddit,\n",
    "      asl\n",
    "    ORDER BY num DESC)\n",
    "WHERE\n",
    "    asl IS NOT NULL\n",
    "    AND num > 1000;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This new regex should capture everything the A/S/L regex did, but will also accept things like \"27M or \"M\". It has some false positives, but it actually works fairly well if we limit it to the following subredits:\n",
    "\n",
    "*  [/r/OkCupid](https://www.reddit.com/r/OkCupid)\n",
    "*  [/r/keto](https://www.reddit.com/r/keto)\n",
    "*  [/r/childfree](https://www.reddit.com/r/childfree)\n",
    "*  [/r/xxketo](https://www.reddit.com/r/xxketo)\n",
    "*  [/r/LGBTeens](https://www.reddit.com/r/LGBTeens)\n",
    "*  [/r/loseit](https://www.reddit.com/r/loseit)\n",
    "*  [/r/Tinder](https://www.reddit.com/r/Tinder)\n",
    "*  [/r/proED](https://www.reddit.com/r/proED)\n",
    "*  [/r/fatlogic](https://www.reddit.com/r/fatlogic)\n",
    "*  [/r/financialindependence](https://www.reddit.com/r/financialindependence)\n",
    "*  [/r/infj](https://www.reddit.com/r/infj)\n",
    "*  [/r/infertility](https://www.reddit.com/r/infertility)\n",
    "*  [/r/100DaysofKeto](https://www.reddit.com/r/100DaysofKeto)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Collect Users\n",
    "\n",
    "Now that we have identified queries to find gendered flair, let's collect a list of all users and their identified gender into a table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>subreddit</th>\n",
       "      <th>author</th>\n",
       "      <th>gender</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>infj</td>\n",
       "      <td>AsianSwagger</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>infj</td>\n",
       "      <td>galifanasana</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>infj</td>\n",
       "      <td>P-mac</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>infj</td>\n",
       "      <td>Yoshimotso</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>infj</td>\n",
       "      <td>Thunder_54</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>infj</td>\n",
       "      <td>TeenageMutant1</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>infj</td>\n",
       "      <td>Shannester</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>infj</td>\n",
       "      <td>TheAmberbrew</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>infj</td>\n",
       "      <td>ejgamer13</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>infj</td>\n",
       "      <td>NotVeryWellFriend</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  subreddit             author gender\n",
       "0      infj       AsianSwagger   male\n",
       "1      infj       galifanasana   male\n",
       "2      infj              P-mac   male\n",
       "3      infj         Yoshimotso   male\n",
       "4      infj         Thunder_54   male\n",
       "5      infj     TeenageMutant1   male\n",
       "6      infj         Shannester   male\n",
       "7      infj       TheAmberbrew   male\n",
       "8      infj          ejgamer13   male\n",
       "9      infj  NotVeryWellFriend   male"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%bigquery --limit=10 --destinationtable=flair.usersubredditgenders\n",
    "SELECT DISTINCT *\n",
    "FROM (\n",
    "  -- male/female\n",
    "  SELECT\n",
    "    subreddit,\n",
    "    author,\n",
    "    REGEXP_EXTRACT(\n",
    "      LOWER(author_flair_css_class),\n",
    "      '(?:fe)?male') AS gender\n",
    "  FROM\n",
    "    flair.userflair\n",
    "  WHERE\n",
    "    subreddit IN (\n",
    "      'AskMen',\n",
    "      'AskWomen',\n",
    "      'AskMenOver30',\n",
    "      'AskWomenOver30',\n",
    "      'sexover30')\n",
    "  UNION ALL\n",
    "  -- pink/blue\n",
    "  SELECT\n",
    "    subreddit,\n",
    "    author,\n",
    "    CASE\n",
    "      WHEN author_flair_css_class = 'blue' THEN 'male'\n",
    "      WHEN author_flair_css_class = 'pink' THEN 'female'\n",
    "    END AS gender\n",
    "  FROM\n",
    "    flair.userflair\n",
    "  WHERE\n",
    "    subreddit IN (\n",
    "      'tall',\n",
    "      'short')\n",
    "  UNION ALL\n",
    "  -- A/S/L\n",
    "  SELECT\n",
    "    subreddit,\n",
    "    author,\n",
    "    CASE\n",
    "      WHEN asl = 'm' THEN 'male'\n",
    "      WHEN asl = 'f' THEN 'female'\n",
    "    END AS gender\n",
    "  FROM (\n",
    "    SELECT\n",
    "      subreddit,\n",
    "      author,\n",
    "      REGEXP_EXTRACT(\n",
    "        LOWER(author_flair_text),\n",
    "        \"(?:^|[^\\\\p{L}0-9'\\\\.\\\\$])\\\\s*(?:\\\\d\\\\d)?\\\\s*(f|m)\\\\s*(?:\\\\d\\\\d)?\\\\s*(?:$|[^\\\\p{L}0-9'\\\\.])\") AS asl\n",
    "    FROM\n",
    "      flair.userflair\n",
    "    WHERE\n",
    "      subreddit IN (\n",
    "        'OkCupid',\n",
    "        'keto',\n",
    "        'childfree',\n",
    "        'xxketo',\n",
    "        'LGBTeens',\n",
    "        'loseit',\n",
    "        'Tinder',\n",
    "        'proED',\n",
    "        'fatlogic',\n",
    "        'financialindependence',\n",
    "        'infj',\n",
    "        'infertility',\n",
    "        '100DaysofKeto')) )\n",
    "WHERE\n",
    "  gender IS NOT NULL;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For various reasons, users may report different genders over time or in different subreddits.\n",
    "\n",
    "Let's create a new table with only users and their gender and omit users that report multiple genders, otherwise these users would be counted twice in our final analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>author</th>\n",
       "      <th>gender</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>fisherpriceman</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>alltimeisrelative</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Betrubnis</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VoicelikeHoney</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pathomann</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>JohnDylena</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>SpookyWagons</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>FerrisTriangle</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Jerry132</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Juswantedtono</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              author gender\n",
       "0     fisherpriceman   male\n",
       "1  alltimeisrelative   male\n",
       "2          Betrubnis   male\n",
       "3     VoicelikeHoney   male\n",
       "4          Pathomann   male\n",
       "5         JohnDylena   male\n",
       "6       SpookyWagons   male\n",
       "7     FerrisTriangle   male\n",
       "8           Jerry132   male\n",
       "9      Juswantedtono   male"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%bigquery --limit=10 --destinationtable=flair.users\n",
    "SELECT\n",
    "  author,\n",
    "  ANY_VALUE(gender) as gender\n",
    "FROM (\n",
    "  SELECT\n",
    "    author,\n",
    "    gender\n",
    "  FROM\n",
    "    flair.usersubredditgenders\n",
    "  GROUP BY\n",
    "    author,\n",
    "    gender )\n",
    "GROUP BY\n",
    "  author\n",
    "HAVING COUNT(*) = 1;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can do our analysis of subreddits using the genders of authors of comments.\n",
    "\n",
    "We use the standard `read_gbq()` function from pandas-gbq now because we want its handling of types and indexes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>subreddit_size</th>\n",
       "      <th>male</th>\n",
       "      <th>female</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>subreddit</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AskReddit</th>\n",
       "      <td>6744464</td>\n",
       "      <td>86595</td>\n",
       "      <td>50572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>funny</th>\n",
       "      <td>3689875</td>\n",
       "      <td>68965</td>\n",
       "      <td>30025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pics</th>\n",
       "      <td>3608386</td>\n",
       "      <td>68255</td>\n",
       "      <td>30453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gaming</th>\n",
       "      <td>2517109</td>\n",
       "      <td>57656</td>\n",
       "      <td>13114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>videos</th>\n",
       "      <td>2448897</td>\n",
       "      <td>55836</td>\n",
       "      <td>17154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IAmA</th>\n",
       "      <td>2413052</td>\n",
       "      <td>58177</td>\n",
       "      <td>24672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>todayilearned</th>\n",
       "      <td>2300584</td>\n",
       "      <td>59938</td>\n",
       "      <td>23739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WTF</th>\n",
       "      <td>2075080</td>\n",
       "      <td>53287</td>\n",
       "      <td>22445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aww</th>\n",
       "      <td>1956664</td>\n",
       "      <td>42377</td>\n",
       "      <td>26527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>worldnews</th>\n",
       "      <td>1904960</td>\n",
       "      <td>48800</td>\n",
       "      <td>14189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gifs</th>\n",
       "      <td>1813010</td>\n",
       "      <td>44012</td>\n",
       "      <td>14308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AdviceAnimals</th>\n",
       "      <td>1765520</td>\n",
       "      <td>50610</td>\n",
       "      <td>20777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>movies</th>\n",
       "      <td>1649322</td>\n",
       "      <td>44204</td>\n",
       "      <td>14338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>news</th>\n",
       "      <td>1480259</td>\n",
       "      <td>40769</td>\n",
       "      <td>14347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Music</th>\n",
       "      <td>1465879</td>\n",
       "      <td>38535</td>\n",
       "      <td>12851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mildlyinteresting</th>\n",
       "      <td>1359446</td>\n",
       "      <td>34267</td>\n",
       "      <td>14909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>politics</th>\n",
       "      <td>1337245</td>\n",
       "      <td>39622</td>\n",
       "      <td>11478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Showerthoughts</th>\n",
       "      <td>1330610</td>\n",
       "      <td>32930</td>\n",
       "      <td>12688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>explainlikeimfive</th>\n",
       "      <td>1061782</td>\n",
       "      <td>35026</td>\n",
       "      <td>13598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>leagueoflegends</th>\n",
       "      <td>1038240</td>\n",
       "      <td>13388</td>\n",
       "      <td>1825</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   subreddit_size   male  female\n",
       "subreddit                                       \n",
       "AskReddit                 6744464  86595   50572\n",
       "funny                     3689875  68965   30025\n",
       "pics                      3608386  68255   30453\n",
       "gaming                    2517109  57656   13114\n",
       "videos                    2448897  55836   17154\n",
       "IAmA                      2413052  58177   24672\n",
       "todayilearned             2300584  59938   23739\n",
       "WTF                       2075080  53287   22445\n",
       "aww                       1956664  42377   26527\n",
       "worldnews                 1904960  48800   14189\n",
       "gifs                      1813010  44012   14308\n",
       "AdviceAnimals             1765520  50610   20777\n",
       "movies                    1649322  44204   14338\n",
       "news                      1480259  40769   14347\n",
       "Music                     1465879  38535   12851\n",
       "mildlyinteresting         1359446  34267   14909\n",
       "politics                  1337245  39622   11478\n",
       "Showerthoughts            1330610  32930   12688\n",
       "explainlikeimfive         1061782  35026   13598\n",
       "leagueoflegends           1038240  13388    1825"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query=\"\"\"\n",
    "SELECT\n",
    "  subreddit,\n",
    "  subreddit_size,\n",
    "  COUNT(CASE WHEN gender='male' THEN 1 END) AS male,\n",
    "  COUNT(CASE WHEN gender='female' THEN 1 END) AS female\n",
    "FROM\n",
    "  flair.users\n",
    "JOIN (\n",
    "  SELECT DISTINCT\n",
    "    subreddit,\n",
    "    author,\n",
    "    subreddit_size\n",
    "  FROM\n",
    "    `fh-bigquery.reddit_comments.201*`\n",
    "  JOIN (\n",
    "    SELECT\n",
    "      subreddit,\n",
    "      COUNT(*) AS subreddit_size\n",
    "    FROM (\n",
    "      SELECT DISTINCT\n",
    "        subreddit,\n",
    "        author\n",
    "      FROM\n",
    "        `fh-bigquery.reddit_comments.201*`)\n",
    "    GROUP BY\n",
    "      subreddit)\n",
    "  USING\n",
    "    (subreddit)\n",
    "  JOIN\n",
    "    flair.users\n",
    "  USING\n",
    "    (author))\n",
    "USING\n",
    "  (author)\n",
    "GROUP BY\n",
    "  subreddit,\n",
    "  subreddit_size\n",
    "ORDER BY\n",
    "  subreddit_size DESC;\"\"\"\n",
    "df = pd.read_gbq(\n",
    "    query,\n",
    "    PROJECT_ID,\n",
    "    index_col='subreddit',\n",
    "    verbose=False,\n",
    "    dialect='standard')\n",
    "df.head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create columns for the ratio of male to female users."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['male_ratio'] = df.male / (df.female + df.male)\n",
    "df['female_ratio'] = df.female / (df.female + df.male)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting results\n",
    "\n",
    "Plot the gender ratio for the 100 subreddits with the most comments."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from matplotlib.ticker import FuncFormatter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7dd7f0a49630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.sort_values('subreddit_size', ascending=False, inplace=True)\n",
    "plot = df[['male_ratio', 'female_ratio']].head(100)[::-1].plot(\n",
    "    kind='barh',\n",
    "    stacked=True,\n",
    "    figsize=(8, 20),\n",
    "    xlim=[0, 1],\n",
    "    title='Subreddit Gender Ratios',\n",
    "    legend=True,\n",
    ")\n",
    "plot.xaxis.set_major_formatter(FuncFormatter('{0:.0%}'.format))\n",
    "plot.set_ylabel('Subreddit')\n",
    "plot.set_xlabel('Gender Ratio of Commenters')\n",
    "plot.legend(loc='upper left', bbox_to_anchor=(-0.45, 1.005), fontsize=12)\n",
    "plot.get_legend().get_texts()[0].set_text('Male')\n",
    "plot.get_legend().get_texts()[1].set_text('Female')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the gender ratio for the subreddits that are predominantly female. Only include subreddits that we have sampled at least 1000 users."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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nnKtA+Z5prOHT1hUj3tcq+UyppAJJcyUNl/SepJGS+kiaKOl9ST0lDZU0JHHObEkF8fUpkt6SNF3SnTEW8+XA/sC9kq5Pq6+npEmSpkl6Q1K7mN5b0tj4eqikByRNJHc4Kuecc85toirZgXFbhN2BG4D28etkQgdwCCEOakaSOgD9gP3MrBuwGhhgZn8hxL8dYGYXpZ02FzjAzLoDlwNXZym+I9DHzPpnqPcsSZMlTV69YmkZLtM555xz6ap1B3LevHnbSOqxatWqym5KVbTAzGaZ2RpgDvCShRVZs4CCHOcdCvQA3pY0Pb7fLU9dTYDHJM0GbgQ6Zcn3tJllfF7XzO4ys0IzK6xZ359/dM455zZFmZ8VK7jkmR4V0ZCUomuPmlLavK1bt97zyy+/rP3hhx/ObNmyZUkqvUOHDh3nzp1bb+7cubPatWu3smJaWu39kHi9JvF+DeFzVcL6f6DUjf8KGGFmfyxDXVcC482sb5wGn5Al3/IylOmcc865jVTlFxu0bt165X333bf9pZde+iXAW2+9Va+4uLhaj6xuIYqAowEk7QXsGtNfAp6SdKOZfSlpe6CRmS3MUVYT4JP4euCmNmzP1k1g6PubWoxzzjlXNQxTuRdZ5TtaJ5100uKHH364aer9Pffc07Rfv36LUu9HjRrVpEOHDh0bNmzYvUWLFl0uvPDCVtnKWrx4cc2TTjppl2bNmnX50Y9+1GXw4MGtSkpKsmV3uY0Btpc0BzgPeA/AzN4BLgNekDQTeBFomaes64BrJE1jK/ijxznnnKvqqnwHct999122bNmymlOnTq1bUlLCU089tf0ZZ5zxdep4w4YN14wYMWLB0qVLpz311FPvjxgxotkDDzywbaayfvGLXxTUqlWL+fPnz542bdo748ePb3LjjTfusPmupmowsyIz65x4P9DMRiePmVmxmR1mZp3M7HQz62BmRTHPI2bWzcy6mFkPM3szpvc2s8nx9YTUHpBmNsnM9jCz7mZ2mZkVZMgz1Mz+vjnvg3POOVddVfkOJIRRyHvvvbfpk08+2bhNmzbFu+6669rnHo8++ujvevbsWVyzZk1+/OMfFx977LFfT5gwoVF6GR999FGtV155pcldd931YePGjde0bt265Lzzzvti9OjR22/eq3HOOeec27JtFdOBZ5555uLevXu3W7hwYZ0BAwYsTh57+eWXG/zxj39s/d5779UrKSnRypUraxx55JHfpJfxwQcfbFNSUqKWLVt2TaWZmVq0aOGLcJxzzjnnEraKDuQee+yxcscdd1w5YcKEJg899FBR8thpp52265lnnvnl+PHj369fv76dfvrpOy1evHiD695tt91WbbPNNvb1119Pr1279mZr+6aSZMBIMzslvq8FfAb8N08YwIFAoZmdV4Ftm0B4vvF7YCUhysz0POcUxXYtypUvkX8gZbyOWZ8speCSZyiqe3JpT3HOOedcwlYxhQ1w//33Fz377LPzGjduvCaZvnz58prbb7/96vr169v48ePrP/nkkxmnpHfZZZdV++2339Kzzjprp6+//rrG6tWrmTNnTp1nnnmm4ea5go22HOgsqV58/xPWrVjeEgwws67AbcD1+TI755xzbstX5hHIsuzTuDl16tTph0zpN9xww4eXXnrpjpdccsnOPXv2/O7oo4/+ZunSpTUz5X300UeLBg8e3LpDhw6dV6xYUWPHHXdc+bvf/e6zim15uXgWOAoYDfQHHgYOgBAGELiZsA9jMTDIzOYlT5Z0FGFl9M8I+zTeAewcD19gZhMlDQWWpRaqxE29UyOc44ApwF6ETcVPNbMVaW2cBKyNMCPpMGAYUAeYH9u1LB4+X9LPgNrAiWY2N8917BRHO1sDD5rZsNLfOuecc86VVZWewv7kk09mZUqvXbs2ZjYFoF27disHDRq0wTOPqWOpfABNmzZdPXLkyA+BDyukwRVnFHB5jAvdBbiP2IFkXRjAEkl9CGEAj0+dKKkvcCHwUzP7RtJDwI1m9rqknYHngQ556m8HnBE7mvcB5wDpK6KPAJ6Mde5A6LD2MbPlki6ObfhLzLvIzPaSdA4hNOKZea6jJ9AZWEGIcPNMajV34jrPAs4CqNm4WZ7Lcc4551wuVboD6QIzmxkjtPQnjEYmNQFGSGoLGGFUL+UQoBA4zMy+jWl9gI7S2k1HG0vKN43/kZlNjK8fBAazrgM5UtI2QEOgW0zbhxC3emKsZxvCCGXK4/HfKcDPS3EdL5rZYgBJjxNicq/XgTSzu4C7AOq0bGt5rsc555xzOWw1z0A6niZ02h5OS0+FAexMmKKumzg2H2gE7JFIqwHsE/dp7GZmrePUcrbQhBA6dGR5P4AQ63oE8M+YJkKnL1VHRzM7I3FO6nGE1az7IyfXdeSq3znnnHPlzEcgtx73AUvMbJak3on0XGEAFxKeS3xc0olmNgd4ATifuOBFUre4crqIzKEJAXaW1MvMJgEnA68nKzEzk/RnYL6k9sCbwK2SdjezDyQ1AFqb2Xs5ri/XdfwkhkQsBo4DTs9RDnu2bsLka48ClubK5pxzzm0dPJShy8bMPjazf2Q4lDMMoJnNJYwSPiapDWH6uVDSTEnvAGfHrBlDE0bzgHMlvQtsB9yeoZ5i4AbgIjP7itAJfDiGM5wEtM9zibmu463YvpnAmPTnH51zzjlXvmSWfbZvxowZRV27di3Vfnyu7GbMmLFD165dCyq7HZsiPns5NhnacEtXWFhokyd7H9M551z1IGmKmRWWZ5k+Aumcc84558rEO5BbEEmrJU2XNEPSVEn7VkAdx0nqWIp8EyTNi1PZcyXdImnbxPE3AMysqCqNPjrnnHNu0/kimi1LsZl1A5B0OHANcFA513EcMBZ4pxR5B5jZ5LgNzzXAU6n2mFm5dG4l1TKzkvIoq7RSoQwBD2fonHPObQQfgdwEF154Yatjjz121/w5N0pjYO0G6JIukvR2HBEclkh/UtIUSXPiZtmp9GWJ1ydIGh5HNI8Bro8jnW0kTU3ka5t8n2JmK4E/EFZbd02WL6mhpJfiiOksSccmyvtzHMV8XdLDkobE9AmSbpI0GfitpJ9J+q+kaZL+I6l5zDdU0ghJr0laKOnnkq6L9YyTVDvmu1bSO/HepG9g7pxzzrlyVvYRyKFNelRAOxLlLy11qMTWrVvvuXjx4to1atRYuxLonXfemV1QULCqYhpX4epJmk7Y47AlYaPvVNi/toSIKwKelnSgmb0KnG5mX8dY2G9LGpPaVDudmb0h6WnCopfRseylia16BgH3Zzl3taQZhNXSMxKHvgf6mtm3McLMm7GOQkKkmK6ETb+nEjYGT9km9UCvpO0Ie0+apDMJndXfx3xtgIMJG49PAo43sz9IegI4StJrQF+gfTx/W5xzzjlXoar8FPaoUaPeP+64476r7HaUk+QUdi/gX5I6A4fFr2kxX0NCh/JVYHAMRwiwU0zP2IHM4h5gkKQLgX6ETmo2mTaSEnC1pAOBNYR41M2B/YCnzOx74HtJ/04775HE6x2BRyS1JESlWZA49pyZrZI0C6hJiLsNMAsoIEzHfw/cqxDKcWzGhnsoQ+ecc67cbJVT2C+99FKD7t27t2/UqFG3du3adRw7dmyj1LGePXu2Gzx4cKvu3bu3r1+/fvdDDjlk988//7zmMcccs2vDhg27d+7cucO8efO2SeUfNGjQTi1atOjSsGHD7p06deowbty4rGH9ctVbVnFT7h2AZoRO2jWJyC27m9m9ccPwPkAvM+tK6GCmIrQk92dKRm1JNwY4krBJ+JRso5eSagJ7Au+mHRoQ29gjdn6/yFNfyvLE638Ct5jZnsCv087/AcDM1gCrbN2+U2uA1POTPYHR8RrGkYGZ3WVmhWZWWLN+k1I0zznnnHPZVPkRyHQLFiyoffzxx7e98847F5xwwglLn3766cannHJKm3feeWd2q1atSgCefPLJ7Z977rn3W7RoUdKzZ8/2++yzT4ebbrpp4ZgxYxacdNJJBZdeemmr0aNHFwHsvffey6+55ppPmzZtuvqvf/1r81NOOaXNhx9+OLN+/fpW1nrLIkZsqUkYTXweuFLSSDNbJqk1sIoQneUbM1sR8++TKOILSR0Im3z3BVKjtN8RwhcCYGbfS3qesPl3Mpxgsi21gasIMa9nph1uAnwZRwkPBnaJ6ROBOyVdQ/icHU2MRZ1BMsrMaVlvSua2NQTqm9mzkiYC/8t3zrpINODRaJxzzm31PBLNhk4++eTdGzVq1K1Ro0bd+vTp0+aee+5p2rt376X9+vVbWrNmTfr27ftt586dl48ZM2btsFP//v0XderU6YemTZuuPuSQQ5buvPPOPxx33HHf1a5dmxNPPPGb2bNn10/lPeecc75u0aLF6tq1azNs2LAvVq5cqRkzZmwwwlaaekuhXlzcMp0wxXuama02sxeAh4BJcSp3NKETOA6oFSPAXEsIEZhyCWE69w3gs0T6KOCiuGClTUwbSRjReyGtPSNjpJjZQAPgWDY0khC5ZhZwKjAXwMzeJsTnngk8R5hyztZbG0qIhDMFKOvG9Y2AsbGdrwMXlvF855xzzpVRlR+BfOihhz5IPgN5yimn7Pzcc89t16hRo7Udt5KSEh144IFr8zRv3nztiGC9evXWNGvWbO2im/r1669ZsWLF2o715Zdf3vzBBx/c4auvvqoNsHz58ppffvnlBvdt4cKF2+SrNx8zq5nj2M3AzRkOHZkl/2hCRzM9fSJhQUrS/sD9ZrY6ka93nrY2jP8uAnplyfZ3MxsqqT7hec0pmco2s6cIWwSl1zE0U50ZjuV6btM555xz5azKdyDT7bTTTiv79u27eNSoUQs3taxx48Y1vOWWW1qMGzfuvR49ehTXrFmTxo0bd8sU/rE8692c4mrmNsQV3+XsrrhpeV1ghJltsEWQc84556qeKj+Fne6MM85Y/J///GfbMWPGNC4pKWHFihUaO3Zso/nz59cua1lLly6tWatWLWvRosWqVatWaciQIS2XL1+ecZSwPOvdnMysr5l1iSOJ5V32yXHRT3szu6a8y3fOOedc5diIfSBLv09jZdh9991XPfroox9cfPHFO55++um71ahRw7p27br87rvv/rCsZR1//PFLR48e/W3Hjh33rFev3upf//rXX7Ro0WJlRde7qSStJjxzKGA1cJ6ZvVHOdRwHvGdmOSPaSJpA2NOyGKgD3Ghm2RbTOOecc64KUKbp2JQZM2YUde3atdxHplwwY8aMHbp27VpQ3uVKWpZ6XjCGRPyTmZVrSERJw0lsSJ4j3wRgSAyJuD0wH2geo9tUijot21rL024CPJShc865rZ+GfTslFbyjvGx1U9huA1tMSETCBujLCaOiSOofwxLOlvS3mLaLpPcl7SCpRgxjeFg8doqkt2Kdd0qqGb+GxzJmSfpded0455xzzmW21S2iccCWFxJxpKQfYt0XxLCIrYC/AT0IHdwXJB1nZk/GzuTtwFvAO2b2QtzTsh+wX9xz8jbCJuZzgNZm1jm2w0MZOueccxXMRyC3TsWpxSvAEYSQiGL9kIhTCXGt28ZzBsdY12+yLiRiWaRCItYkdPQeShwbYGZdgJ2BIZJ2AfYGJpjZVzGazEjgQAAzu4cwcno2MCSWcSihs/l27BwfCuxG2Dh8N0n/lHQE8G2mxkk6S9JkSZNXr/DNw51zzrlNkW8Ecs2aNWtUo0aN7A9Kuo2yZs0aETbvrlBmNklSekjEO5N50kIirojPLW5MSMQrgJfJEhLRzL6KU9s/JoYozCTuG7ljfNuQED1HhK2A/pghf1fgcEKH8yTg9Ax130WMhFOnZVv/PDvnnHObIGcHUtLnxcXFTRo0aFC8uRpUXRQXF9eV9HlF17OFhUSsD3QHrgM+Bf4RO7ffAP0JMbEhTG2PBBYCdxPCIL4EPCXpRjP7Mi7IaUR4pnKlmY2RNA94MN898VCGzjnnqpUKCGWYswNZUlIyrKio6JaCggLq1av3vY9Ebro1a9aouLi4blFR0TYlJSXD8p+xUVLPQEIYuTstRplJPUs4Kcxosww4hRAS8ewYEnEemUMifgVMJowIQgiJeLekwcAJZjaf0OnrS+aQiKltfIab2RQASZcA42PDnwhUAAAgAElEQVQbnzGzpyQdRJje3i8+K3m8pEFmdr+ky+I11CB0fM8lbA90f0wD2GCE0jnnnHPlK+c2PgBTp049vFatWleYWQv8mcnysEbS5yUlJcP22muv5yu7MeVJ0hCgiZn9ubLbkkthYaFNnjy5spvhnHPObRaSyn0bn7yrsGMnZ6vq6LjyV8EhEZ1zzjm3BfFtfFy5MLO+ld0G55xzzm0ePiVdRUgySQ8m3teS9JWksXnOGyjpls3Qvh0krZJ09sa0JbVhuaRWkvJFt7kgLshxzjnnXCXwEciqYznQWVI9MysGfgJ8UsltSjqRsPimP3DHxhZiZp8CJ+TJdgFhtfWKjalj1idLKbjkGcBDGTrnnHMbw0cgq5ZngdT+M/2Bh1MHJPWUNEnSNElvSGqXfrKko2KeHSQ1kzQmhjV8W9J+Mc/QuBgmdc5sSQXxa66kkZLelTQ6bRSwP/B7oLWkHRPnD5L0nqS3gP0S6bvGtsyS9NdEeoGk2fF1TUl/j22YKen8uOq7FTBe0ngPZeicc85tft6BrFpGAb+QVBfoAvw3cWwucICZdQcuB65OniipL2FLnp+a2SLgZuBGM9sbOJ4QSSafdsBtZtaBEPHlnFj2TkBLM3sLeJQQiQZJLYFhhI7j/kDHRFk3A7eb2Z7AZ1nqOwsoALrFSDYjzewfhD0kDzazg4FuxFCGsaz7s5TlnHPOuXLiHcgqxMxmEjpU/QmjkUlNgMfi6N2NQKfEsUOAi4GjzOybmNYHuCXuF/k00FhSQ3L7yMwmxtcPEjqFEDqMj8bXo2L7IEScSYUrXAk8kihrP9aNoD6Qpb4+wJ0x1CFm9nWGPB7K0DnnnNvMvANZ9TwN/J3E9HV0JTDezDoDP2P9sIPzCVFb9kik1QD2iTGzu5lZazNbBpSw/uciWU76pqGp9/2BgZKKYvu6SCpNLO1N3pg+doi7AhMIoQwzjqSa2V1mVmhmhTXrN9nUap1zzrlqzRfRVD33AUvMbFaMYZ3ShHWLagamnbMQuAh4XNKJZjaHEC3mfOB6AEndzGw6UEQIHYikvYBdE+XsLKmXmU0CTgZel7QH0NDMWqcySRpG6FTeDdwsqSlhZPBEYEbMNhH4BWEkc0CWa30R+LWk8WZWImn7OAqZCqO4KIZC9FCGzjnnXDYVEMrQRyCrGDP7OD4HmO464BpJ08jwh4GZzSV01B6T1AYYDBTGxSnvEEbvAMYA20uaA5wHvJcoZh5wbgx5uB0h7nV/4Im06sYA/c3sM2AoMInQYXw3kee3saxZQGsyuwf4EJgpaQah0wpwFzBO0vh47oQ4Ff8gHsrQOeecq3B5Qxk6B2F1NDA2TpFXaR7K0DnnXHVSEaEMfQTSOeecc86ViT8D6UrFzIqAKj/66JxzzrlN5yOQ1ZikYyRdkuVYqUMLVhRJf5HUpzLqds4551x2/gyky0jSMjPLty9klVSnZVtredpNa997OEPnnHNbMw371p+B3NolQgYOjyEAR0rqI2mipPdjyMKM4Qbj6yclTZE0R9JZiTxHSJoqaYakl2LaQEm3xNelCS3YSdJbkqbH1dttY/qp8f0MSQ/EtOGSTkiUkxrRbCnp1VjGbEkHZAtHmCxD0qEKYRpnSbpPUp2YXiRpWLy2WZLaV8T3xTnnnHPreAdyy7Q7cAPQPn6dTIj6MgT4U55zTzezHkAhMFhSU0nNCHsyHm9mXQn7MaYrTWjBs4GbzaxbLP9jSZ2Ay4BDYtm/zdO+k4HnYxldgenkCUcYQzcOB/rF47WA3ySyLDKzvQjbCg0hA49E45xzzpUf70BumRaY2SwzWwPMAV6y8KzBLEIow1wGxz0T3wR2AtoC+wCvmtkCyBoSsDShBScBf5J0MbCLmRUTwiQ+FuNrZys76W1gkKShwJ5m9h35wxG2I9yT1J6UI4ADE8cfj/9OIcv98Ug0zjnnXPnxDuSW6YfE6zWJ92sIo28Zww3GyDR9gF5xNHAa64cizCfnA7Fm9hBwDFAMPCvpkBzZ17ZRUg1gm1jGq4TO3yfAcEmnljYcYQ6p+7Ma31nAOeecq3D+y7ZqKiJzuMEmwDdmtiI+C7hPTH8TuE3Srma2IBESMClvaEFJuwH/M7N/SNoZ6EIIN/iEpP8zs8WJsouAHsCjhE5n7VjGLsDHZnZ3fI5xL0nPkjsc4TygQNLuZvYB8EvglbLdsnXWD2UIHs7QOefcVq0CQhl6B7JqGgOcGsMN/pd14QbHAWfHUIPzCB1HzOyruKDm8Tga+CXwk3hOatTxt8BDcXr6qSz1ngT8UtIq4HPgajP7WtJVwCuSVhNGPQcSnrl8Kk6njwOWxzJ6AxfFMpYBpxLCEd4f2wZp4QjN7HtJgwhhGGsRpsHvKPXdcs4551y58m18qjFJvwcam9kVld2WzclDGTrnnKtOKiKUoY9AVlOSziaMFP68kpvinHPOuSrGF9FUU2Z2h5ntaWbvV3ZbnHPOOVe1eAcyB0mrExte/1vStuVU7trNucupvFqSvpJ0bSnydpP0002o6/q4Sfn1cUNzk7R74vgFMS3nUHncAHyHjW2Hc8455yqPT2HnVhw3vEbSCOBc4KrKbVJGPyEspDlR0h8t94OtqU3An93Ius4Ctjez1XEvx1mE1dup6DUnEvau3GLN+mQpBZc8s0G6hzR0zjnnSsdHIEtvEmG1MJIaSnopET7v2JheIOldSXfHUboXJNWLx3rEUH8zCB1RYnpdSffHcqZJOjimD1QIS/hiHK07T9KFMc+bkrZPtK0/IZLMh0CvRNl7S3oj1vuWpCbAX4B+cWS1n6SD4uvpsexGCq7XutCC/WJ5TwMNgSmpNOBJIHX9bQh74ixKtOH2GAFmjqRh6TdVUj1Jz0n6VXx/itaFS7xTUs2YvixxzgmShsfXwyXdEet4T9LRZfy+Ouecc66MvANZCrETcyjwdEz6Hugbw+cdDNwgKbXJUlvgVjPrBCwBjo/p9wPnxw2+k84FLIbo6w+MUAjdB9CZsMhlb8LI5woz607ozJ4a21aXsHn4vwmRZPrH9G2AR4Dfxjr7ELbSuRx4xMy6mdkjhNB/58aR1gMIm4T/nDBSmTrvekktzewY4qhsPBdC1JiPJHUmjESm0lMujSu/ugAHSeqSONYw1e64L2QHoB+wX2zParLsSZmmAOgJHAXckbh/a8lDGTrnnHPlxjuQudWTNJ2w52FzwqbZAAKuljQT+A9hZLJ5PLbAzKbH11MIG2BvC2wbo7DA+qEC9ydunG1mc4GFwB7x2Hgz+87MviKM7P07pidDGh4d8xUT9oc8LnZ42wGfmdnbsexvzawkwzVOBP5P0uDYxpLYpofNbLWZfUHYtHvvHPdpFKHzeBzwRNqxkyRNJewP2QnomDj2FHC/mf0rvj+UsPn42/G+HwrslqPelEfNbE1cEPQ/Qvzw9XgoQ+ecc678eAcyt9QzkLsQOo2pqecBQDOgRzz+BetCBibDEG5qaL18IQ0hjDj2kVRE6LA2JcSnLhUzuxY4E6gHTFSIYFNWYwnRYT40s7VxrCXtShjhPNTMugDPsH5oxYnAEYnRWwEj4ghnNzNrZ2ZDU01NnJc+wpj+zKdvbuqcc85VIF9EUwoxNOBg4ElJtxFCBn5pZqviM4u75Dl/iaQlkvY3s9dZf1r2tfj+ZUl7ADsTosjsla9dkhoTpp13MrMfYtogQqfybKClpL3N7G1JjQjT098BjRJltDGzWcAsSXsTRu9eA34dFw5tT4hdfVGe+3Mx6yLipDQmTJsvldQcOJIQ7zrl8vh1K3AO8BIhes2NZvZlfM6zkZktBL6IU9zzgL7xOlJOjG3dlTBiOS/XfdswlGGKT20755zbClVAKEMfgSwlM5sGzCR0zkYChZJmEZ5FnFuKIgYBt8ap2eR38jagRizrEWBgqjNYCn2Bl9PyPwX8LNbRD/hnXLjzImHkbjzQMbWIBrggLpaZCawCniNMQ88EZgAvA38ws89zNcTMRpnZ1LS0GYSp67nAQ4QRx3S/JTwqcJ2ZvQNcBrwQ2/Mi0DLmu4Qw0vkG8FlaGR8Cb8W2n21m3+dqq3POOec2jYcydFVaXI091sxGl/YcD2XonHOuOlEFhDL0EUjnnHPOOVcm/gykq9LMbGBlt8E555yrbrwDWcVIGggUmtl5ld2WXLbkdnokGuecc27T+BS2c84555wrE+9AVoIY8nBuDMP3nqSRkvpImijpfUk949ekGF7wDUntMpRzVMyzg6RmksZIejt+7RfzDJU0JHHO7Fh/qg0jFcIvjpZUP+bpIekVSVMkPS+ppaRasdzeMc81kq6Kr9NDJqa2CWolaVy8pusSbcgY3lAhZOMwrQsR2T6mN1MI6ThH0j2SFkraIR7LGPrQOeeccxXHO5CVZ3fgBsK+i+2BkwkRYIYAfyJsfXNADF14OXB18mRJfQlb2/zUzBYRYmHfaGZ7E8In3lOKNrQDbjOzDoSQhOdIqg38EzjBzHoA9wFXxQg1A4HbJfUBjgCGKXPIxOJYfjfCVkJ7EuJv7xTTc4U3XBRDRN4e7wXAFYTtijoBowl7ZaIyhD6UhzJ0zjnnyo0/A1l5FsQNvJE0B3jJzCzuB1lA2Kx8hKS2hMgqtRPnHgIUAoclIr/0IezvmMrTWFLDPG34yMxSezM+CAwGxhFicL8Yy6pJ3HfRzOZIeoCwH2MvM1spaU/SQibGayJe09L4/h3ChusfEcIbnkX4/LUkhDecGdvxePx3CiEmN4SOdd9Y/jhJ38T0ZOhDCNF0vsx0oWZ2F3AXQJ2WbX3vKuecc24TeAey8uQLU3glIcZ1X0kFrB/BZT4h4soeQGpDwxrAPumbaEsqYf2R5mQYwEwhAAXMMbNeWdq9J7AE+FGW40kbhHXUuvCGe5vZN3Efx7oZzilNGMhU6MM/lqItzjnnnCsn3oHccjUBPomvB6YdW0gILfi4pBPNbA7wAnA+cD2ApG5mNh0oAo6OaXsRwv2l7Cypl5lNIkyhv04IA9gslR6ntPeIo48/Z11ow7GSesb8mUImZpMvvGEmE4GTgL9JOgzYLqbnCn2YlYcydM45V614KMNq5TrgGknTyNDRN7O5hOf9HpPUhjD9XChpZpwuPjtmHQNsH6fJz2P9eNXzgHMlvUvolN1uZiuBEwidtRnAdGDfuGjlWuBMM3sPuAW4OebPFDIxo1KGN0w3DDhM0mzgROBz4Ls8oQ+dc845V0E8lGE1FafFx5pZ50puSl6S6gCrzaxEUi9CR7fbxpbnoQydc85VJ6qAUIY+he2qgp2BRyXVAFYCv6rk9jjnnHPVmncgqykzKyKstt7imdn7QPfKbodzzjnnAu9AloKkZWaWb0ucZP7ewBAzO1rSMUBHM7u2Ats3Ida3Rc7LbmnT5dlCGaZ4SEPnnHMuN+9AVjAzexp4urLbsTWSVCtucO6cc865zchXYZeBpN6SJsSwf6kwgIrHjohpU1m3ATaSBkq6Jb7OFW5whKTXYpi+n0u6LobzGxe30kHS5fG82ZLuStWdqKuGQnjEv8b3hymEOpwq6bHUxuIxZGAqFGBhHMFMteOBeM77kn4V0xtKeknrQgweG9MLFMIg3q0QZvAFSfXisR4KoQ1nAOem3Y8nFUITFkk6T9KFCiEb34xb8SCpW3w/U9ITkraL6RMk3SRpMvDbbPfUOeeccxXHO5Bl1x24gBA9ZTdgP0l1gbuBnxEio7TIcm6ucINtCBFmjiFEhRlvZnsS9lRMbVp4i5ntHaeC6xH3d4xqASOB983ssthBvAzoE0MDTgYuLMX1dYnt6AVcLqkV8D3QN5ZzMHBDovPaFrg1hhlcEq8L4H7g/BjeMF1nQid7b+AqYEUM2TgJODXm+RdwsZl1AWYRwhmmbGNmhWZ2A6UM4SgPZeicc86VG5/CLru3zOxjAEnTCWEHlxFCE74f0x8Ezspwbq5wg8+Z2SqFUIY1CSEFIXSeCuLrgyX9AahP2NB7DvDveOxO4FEzuyq+34fQyZ0Y69uG0EHL5ykzKwaKJY0HegLPAFdLOpAQKac10DzmXxA3LIcQfrBA0rbAtmb2akx/gLBheMp4M/sO+E7S0sQ1zAK6SGoSz38lpo8AHkuc/0jidcZ7ambLkhfloQydc8658uMdyLLbIDxfGc7NFm5wbblmtkbSKlu3QecaQgjAusBtQKGZfSRpKOtv2P0GoYN5QyxfwItm1j9DO5LhDdM3/c4U3nAA0AzoETu5RYnz0u9HvWwXn5AvjGM+yxOvM95T55xzzlUc70CWj7mEkbc2ZjYfyNRpg+zhBksj1WFbFEctTwBGJ47fSwgx+KhCyME3gVsl7W5mH0hqALSOUWSKCFPtz7FuyjnlWEnXAA2A3sAlhOgvX8bO48HALrkaamZLJC2RtL+ZvU7ogJaamS2V9I2kA8zsNeCXwCtZspf5nmYPZZjiU9zOOee2Ih7KcMsUR7/OAp6Ji2i+zJI1W7jB0tSxhPCc5WzgeeDtDHn+jxAm8AFgMSGG9sMKYf4mAe1j1mHAzXEhyuq0YmYC4wkd0CvN7FPCs5WFcXr9VEKHOZ9BhA7sdMJoaFmdBlwf294N+EuWfBt9T51zzjm3cTyUoVsrTosvM7O/V3ZbKpKHMnTOOVedqAJCGfoIpHPOOeecKxPvQLq1zGxoRY8+SlotaXrcy/IxSfVjegtJoyTNlzRF0rOS9ojHOkl6WdK8uD/ln1PbCElqLmls3HPyHUnPVmT7nXPOOeeLaNzmV2xm3QAkjQTOlnQj8AQwwsx+EY91BZpL+ogQyec3ZvZC7HCOAc4BbiU8G/mimd0cz+uSrwEeytA555zbND4C6SrTa8DuhM3JV5nZHakDZjYjrsA+GZhoZi/E9BXAeYTV4QAtgY8T583cTG13zjnnqi3vQLpKIakWYXPxWYTINFOyZO2UfixuldRQUmPCKOS9ksZLujRGznHOOedcBfIOpNvc6sWtfSYDHxL2r9xoZvY8IaTk3YRtiqZJapaez0MZOuecc+XHO5Bucys2s27x63wzW0kIydgjS/530o9J2o2w3dC3AGb2tZk9ZGa/JOyPeWB6IWZ2V4yfXVizfpNyvSDnnHOuuvEOpNsSvAzUkbQ2frikLpIOIGxivr+kPjG9HvAP4Lr4/pDESu5GQBvCyKZzzjnnKohvJO42K0nLzKxhhvRWwE2E0cbvCeEWLzCz9yXtCfyTsGCmJiHSzl/MzCRdRIh6k4rvfb+Z3ZCrDb6RuHPOueqkIjYS9w6kq3a8A+mcc6468Ug0zjnnnHOu0nkH0jnnnHPOlYl3IMsoEYov9VVQwfX1ljQ2vh4o6atE3f+q4LonSMo55B3zzEu06YTyqkdSoaR/lLU855xzzlUsD2VYdmtD8WUiqZaZlVRg/Y+Y2XkVWP7GGGBm5f5QYSyz3MvNF8owycMaOueccxvyEchyEEcGn5b0MvBSctQwHr9F0sD4+qeS5kqaIukfidHFnpImSZom6Q1J7cpQfxtJ42KZr0lqH9OHS7pd0puS/hfbdZ+kdyUNT5x/e9xke46kYVnqOCy2b6qkxyRtsJI6Lf+TsT1zUtvzSKoZ2zRb0ixJv0uccqKktyS9F7fvSR993T6WOTNeT5eYPjRe04R4jYNLe9+cc845t3G8A1l29RLTtU8k0vcCTjCzg7KdKKkucCdwpJn1AJIRU+YCB5hZd+By4OosxfRL1D8opt0FnB/LHALclsi/HdAL+B3wNHAjITzgnpJSI6mXxtVZXYCDUp2zRLt3AC4D+pjZXoRRwQsTWUYm2tQ0pp0e21MIDI7p3YDWZtbZzPYE7k+UUcvMegIXAFdkuO5hwDQz6wL8CUhO37cHDgd6AldIqp3l3jnnnHOuHPgUdtllm8J+0cy+znNue+B/ZrYgvn8YSG2e3QQYIaktYEC2TtB6U9hxJHBf4DFJqeQ6ifz/jvslzgK+MLNZ8bw5QAEwHTgpjhLWIuy12BGYmShjn5g2MdaxDTApcTzTFPZgSX3j652AtsA8YDdJ/wSeAV5I5H88/jsltivd/sDxAGb2sqSmCrGwAZ4xsx+AHyR9CTQHPk6eHK/vLICajTeIdOicc865MvAOZPlZnnid2tQ6pW4pzr8SGG9mfePCnAmlrLcGsCTHc5k/xH/XJF6n3teStCth1HJvM/smTm2nt1eEDnL/0jRIUm+gD9DLzFZImgDUjeV3JYwWng2cBJye1s7VlP1zmbyujOeb2V2EkVrqtGzrm58655xzm8A7kBVjIdBRUh2gHnAo8DrrRuAKzKwI6Jc4pwnwSXw9sLQVmdm3khZIOtHMHlMYIuxiZjNKWURjQud3qaTmwJFs2Hl9E7hV0u5m9oGkBoSp6PeylNkE+CZ2HtsTRjBTU+ErzWyMpHnAg6W9TuA1YABwZeygLorXXoYigj1bN2HytUeVMvfSMpfvnHPObVGGlf13ZT7egawAZvaRpEeB2cACYFpML5Z0DjBO0nLg7cRp1xGmsC8jTO+WxQDg9nhubWAUUKoOpJnNkDSN8AzmR8DEDHm+iouAHo6dYgjPRGbrQI4Dzpb0LqHT/GZMbw3cLyk1OvvH0rQxGgrcJ2kmsAI4rQznOuecc64ceSjDzUxSQzNbFkcKbwXeN7MbK7td1YmHMnTOOVedyEMZbhV+JWk6MIcw1XtnJbfHOeecc65MfAp7M4ujjT7i6Jxzzrkqy0cgXbmSVCBpdgWX7+FhnHPOuUrkI5CuqikATgYe2tgCyhLKEDycoXPOOZfORyBdRaglaWQMmThaUn1JPSS9EsMbPi+pJYCkX0l6W9IMSWMk1Y/pwyWdkCpQ0rL48lrggBj15neSXk1E1EHS63GvSeecc85VEO9AuorQDrjNzDoA3wLnAv8khHrsAdwHXBXzPm5me5tZV+Bd4Iw8ZV8CvGZm3eLzpPcS982UtAdhw/LS7oHpnHPOuY3gHUhXET4ys9R+kg8SIs90Bl6MK9AvA3aMxztLei2GWhxAiNNdFo8BR8f416cDwzNlknSWpMmSJq9e4ZuDO+ecc5vCn4F0FSF9c9HvgDlm1itD3uHAcXFD84FA75i+Nhxk3Hh8m4wVhWg3LwLHEkIj9siSz0MZOuecc+XEO5CuIuwsqZeZTSIseHmTsP9lLzObFEcL9zCzOUAj4LOYNoB14RyLCJ3BR4FjCBF2IHRGG6XVdw/wb8LU9jf5Gle2UIbg4Qydc85VaRUQytCnsF1FmAecG0MZbkd8/hH4m6QZwHRg35j3z8B/CSEU5ybKuBs4KObvRYjXDTATWB0X3fwOwMymEJ61vL9Cr8o555xzgIcydFsBSa2ACUB7M1uTL7+HMnTOOVedeChD59JIOpUwgnlpaTqPzjnnnNt0/gykq9LM7F/Avyq7Hc4551x14iOQ1Uy2UIOS7pHUMcs5F6Q2+I7vl2XKV45tHBinpct63nqbjzvnnHOuYvgIpAPAzM7MlC6pJnABYT/HFZupOQOB2cCnmdpjZqs3pfCyhjIED2fonHPOJfkIZPWUKdTgBEmFEEYYJd0QV0BfCrQCxksanypA0lVxJfSbkprHtOaSnojpMyTtG9MvlDQ7fl0Q0wpi/XdLmiPpBUn14ghiITAyhiusJ6lI0t8kTQVOlNQt1jsz1rfd5r19zjnnXPXmHcjqKT3U4DlpxxsA/zWzrmb2F8JI4MFmdnDi+Jsx/OCrwK9i+j+AV2L6XsAcST2AQcCPgX0I+0F2j/nbAreaWSdgCXC8mY0GJgMDYrjC4ph3sZntZWajCM88XmxmXYBZwBXldWOcc845l593IKun9FCD+6cdXw2MyXH+SmBsfD0FKIivDwFuBzCz1Wa2NJb9hJktN7NlwOPAATH/AjObnqGcTB4BkNQE2NbMXonpI4ADc5xHPM9DGTrnnHPlxDuQ1VP65p/p77/P85zhKlu3gehqNv5Z2h8Sr/OVszzHsbzM7C4zKzSzwpr1m2xKUc4551y154toqqf0UIOvAz/LkT8VPnBRnnJfAn4D3BQX3zQEXgOGS7oWENAX+GWecjKFKwTAzJZK+kbSAWb2WizrlUx5syl7KEPwcIbOOeeqLA9l6MpJeqjB2/PkvwsYl1xEk8VvgYMlzSJMSXc0s6nAcOAtwobf95jZtDzlDAfuSC2iyXD8NOB6STOBbsBf8pTnnHPOuXLkoQxdteOhDJ1zzlUnHsrQOeecc85VOu9AOuecc865MvEOpNtokkzSg4n3tSR9JWlsnvMGSrql4lvonHPOuYrgq7DdplgOdJZUL274/RPgk0puU14eytA555zbND4C6TbVs0BqT5z+wMOpA5J6SpokaZqkNyS1Sz9Z0lExzw6SmkkaI+nt+LVfzDNU0pDEObNjKMQCSXPTwzJW8PU655xz1Z53IN2mGgX8QlJdoAthq56UucABZtYduBy4OnmipL7AJcBPzWwRcDNwo5ntDRwP3FOK+vOFZUzV5ZFonHPOuXLiU9huk5jZTEkFhNHHZ9MONwFGSGpLiHZTO3HsEKAQOMzMvo1pfYCO0toNTxtLapinCelhGQcDf8/QzrsI+1lSp2Vb37vKOeec2wTegXTl4WlCp6030DSRfiUw3sz6xk7mhMSx+cBuwB5AalPGGsA+ZvZ9snBJJaw/Wl438TpfWEbnnHPOlTPvQLrycB+wxMxmSeqdSG/CukU1A9POWQhcBDwu6UQzmwO8AJwPXA8gqZuZTQeKgKNj2l7ArolyMoVlzMlDGTrnnKtWPJSh2xKZ2cdm9o8Mh64DrpE0jQx/rJjZXGAA8Nj/s3ffYXZVhfrHvy8B6YQiIkXEC0iHEALSBUUsV6ULiFcBBbk00QvqT0WD4qVeuaB0hIAgRKoRlSJFCDWUNAjlIkEFlCIt1BDe3x9rHXIyOdMyM5kk836eZ545Z52111r7ZJ6Hxdp7r1fSqpTLz8MkjZf0IHBArXo5sLSkB4CDgUeamuluLGNERMdwNI4AACAASURBVET0UKIMY65VL4tfbXvd7hyXKMOIiBhIEmUYEREREf0u90DGXMv2ZKBbq48RERHRc1mBjH7T3UhDSdtI2rwvxxQRERGdywpkzE22AaYAt/ekkUQZRkRE9ExWIKNXSdq4PkW9kKRFJT0g6UhJN6hYXtIjkt7f5rgOIw3rAzMHAN+UNFbSVjXK8Mba3w2SVu6Pc46IiBhosgIZvcr2GEmjgKOBhYELbR9Tc7APAj4F/Mj2PxqJMzXS8FuUSMMXJP2aEmk4uk4Kr7W9lqQzgCm2T6zH/Q443/b5kvYFTgF2bDUuSfsD+wMMWmLZvvsCIiIiBoBMIKMv/BgYA7xB2dsRygbhE4E7bV/cVLcnkYabATvX17+i7DvZUqIMIyIiek8mkNEXlgEWo2RfLwS8CqwEvAMsJ2k+2+/Uut2JNJwNQ4+IiIjOZAIZfeFM4EhK5OBxkg6jxB3uCXyFcrn6xFq3O5GGrwBLNPVzO7AHZfVxL+DWrgwuUYYRETGg9EGUYSaQ0askfRmYavvXkgZRJnnfA26t9zSOA8ZIevcxaNsPSWpEGn6Octn7VEnjKX+jt1AeoPkdcJmkHSgTzEOA8yQdATwL7DP7zjQiImLgSpRhDDiJMoyIiIEkUYYRERER0e8ygYyIiIiIbsk9kDFLJH0eWNv2sd04ZjIwzPZzHdT5A/BF2y/2ZrvNZiWJBpJGExER0ZAJZMwS26OAUW3LJc1v++0etPuZ7tSvD+pERETEbJRL2POQGu33kKQRNS7wIknbSbpN0qOSNpE0XNLhTcdMrDGBSLpK0r01fnD/pjqfknSfpHGSbqhle0v6RX09QtIZku4Cjpe0mKTzJE2oMYO7tBjrlyTdXWMJz2xMBCVNlvTeTupMkfQ/9YnuzZraXFjSHyXt1/vfbkRERDRkBXLesxqwG7AvJQ3mi8CWwOcp2+mM7eDYfW3/S9LClK12Lqf8T8bZwNa2H5e0dDvHrgRsbnuapOOAl2yvByBpqeaKktYCdge2sD1V0mmUfRwv6GKdRYG7bP9XrQtl4/JLgAtsX0AbiTKMiIjoPZlAznsetz0BQNIDwA22LWkCsAodTyAPrbnUAB8AVgeWBW6x/TiA7X+1c+yltqfV19tRNvimHvNCm7ofBzaiTFKhZGY/040604DL29T/LXC87YtaDS5RhhEREb0nE8h5z5tNr99pev8O5d/7bWa8dWEhAEnbUCZ+m9l+TdLNjc+66NVu1BVwvu3/N4t13miarDbcBnxK0q+dzU0jIiL6VCaQA89k4LMAkoZS4gYBBgMv1MnjmsCmtfxO4DRJH2pcwu5gFbLheuAg4LDaz1JtViFvAH4r6STbz9TL4ovbfqKbdZr9sP6cChzY0eBmLcoQEmcYERFzpT6IMsxDNAPP5cDS9fL2wcAjtfwaYH5Jk4BjKRNHbD9LuXfwivrQysgu9HE0sFR9QGccsG3zh7YfBH4AXFfjCq8Hlp+xSqd1WvkGsLCk47swxoiIiJhFiTKMOUZ9yvoZ4P22p/ZVP4kyjIiIgSRRhjGvewA4py8njxEREdFzuQcy5hi21+zvMURERETnMoGcx0naEbgSWMv2Q3XT8EnAw5QnnV8F9rH9cBfbW4bygAvA+ylb6jxb338BuML2ut0c3yP1nkckjQA+yvQnVs61fUoj4rCWfdH2aV3to61ZjTKExBlGRERALmEPBHsCo+vvhsdsD7G9AXA+ZYPxGUhq+T8Xtp+vxw4BzgBOanr/1iyMb0dg7TZlRzTatH1K7fczNR97STp5yjoiIiL6ViaQ8zBJi1FSaL5K08bebSwBvFDr7y1plKQbgRtqJOENNcZwgqQdutDtIEln1zjE62qqDZL2kzSmxiFeLmkRSZtTEnJOqHGFq3ZwLo2Iw2OBVWv9EyQtL+mW+n6ipK26/AVFRETELMkEct62A3CN7UeA5yVtVMsbE7DHgG8BP2s6Ziiwq+2PAm8AO9keStmK539UY2E6sDpwqu11gBeBRg72FbY3rquek4Cv2r4dGMX0FcfHat3GhHKspPXatP9dpq+gHkG5rH1tXQHdgHaSdiTtL+keSfdMey37OUZERPREJpDztj0p+dDU343L2I0J2KqUzb7Pajrm+qaNwgX8d92H8U/AisBynfT5uO3GJO5eSnwiwLqSbq2RinsB63TQRvMl7Amd9DcG2EfScGA926+0qmT7LNvDbA8btMjgTpqMiIiIjmQCOY+qyS0fA86RNBk4gvKQS9sVxFHA1k3vmyMJ96JkYW9UV/j+Sefxhs1RitOY/qDWCOBg2+sBR3WhnS6xfQtl/E8CIyR9uTfajYiIiPblKex5167Ar2x/vVEg6c/AB9rU2xJ4jNYGA8/YnippW+CDPRjP4sDTkhagTEyfrOWv1M+6aob6kj4I/N322ZIWpFyCv6CjBmY9yhASZxgREXOdPogyzARy3rUncFybssuB/0e9B5KyGvkW8LV22rgI+F297HwP8FAPxnMkcBdly5+7mD4JvAQ4W9KhlElvh2w/L+k2SROBPwITgSMkTQWmAFmBjIiI6GOJMowBJ1GGERExkCTKMCIiIiL6XSaQ3SRpmaYtZv4h6cn6+kVJD85Ce1+SNL7umzhO0jmSlqyfnSOp7SbbjeNuljSsvt637tM4vu6F2JX9GrsytmGSTpnFY/eW9Ium9+2eZwdtfF7Sd9v5bMqsjCsiIiJ6LvdAdpPt54EhAHXrmCm2T6wRgVd3py1JnwK+CXza9pOSBgFfoWyV86Ltlvcm1nqN1ysB3weG2n6pbh6+bDfGML/tt1t9Zvseyr2PPdLZebZ3nO1RlKfEe1WiDCMiInomK5C9q70UllUlXSPp3roX4pq1/veBw20/CWB7mu1zG7nUbVYZp0j6H0njgM2a+nwf5cnkKbWNKbYfb3H8e+t2Pq0SZy6R9O5jyZJGSNpV0jaSrpY0X02CWbKpzqOSlpP0OUl3Sbpf0p8ktdonsrPzbKTMNFY9b24a5y/q6w9JuqOutB7d3LikI1RSbsZLOqob/14RERExCzKB7F3tpbCcBRxieyPgcOC0Wr4OcF8X214UuMv2BrZHN5WPo+zP+Lik8yR9rovtNSfOjKTsEYmk9wAfB95dorP9DvBbYKda5yPAE7b/ScnZ3tT2hpQnqr/doq/unGd7TgZOr/tIPt0olLQ95XvfhLIyvJGkrVs3EREREb0hE8jeNVMKS72kvDlwad0650xg+bYHSlqv3kv5mKTdW7Q9jbINzwxsTwM+RdkC5xHgpHppvTPNiTN/BLat+yh+GrjF9utt6o8EGuPao74HWAm4tm71cwQdJ8x05TzbswVwcX39q6by7evP/ZRJ6pqUCWXbfhNlGBER0UsygexdrVJY5qPczzik6WetWucBykogtifUtJc/Agu3aPuNOlmciYu7bR9Dmdw1Vj7fZvq/cdvkl1ebjn8DuBn4JGWSOJKZ3QGsJmlZYEfgilr+c+AXdWXw6y366cp5djTOGU61RZmAY5q+29Vs/3KmAxNlGBER0Wsygexjtl+mXF7eDUDFBvXjY4AT64MwDa0mj+2StIKkoU1FQ4An6uvJwEb1dWebdI8E9gG2Aq5pcR4GrgR+BkyqDxNBSatppMp8pZ22OzvP5nHuQmu3USbHUJJsGq4F9q0rvUhaUdL72mkjIiIiekGewp499gJOl/QDYAHKvYLjbP+hruj9sT6Z/CIlWeXabrS9AGVytgLwBiXp5YD62YnAbyTtT9M9je24jnJp+Le232qnzkhgDLB3U9lwyuX5F4AbgQ+1PagL53kU8EtJP6GshLbyDeDXkr5DuR+z0fZ1ktYC7pAE5WGiLwHPtHeiiTKMiIgBpQ+iDJNEEwNOkmgiImIgUZJoIiIiIqK/ZQIZEREREd2SCWQ/k3SopEmSLuqj9odLOryTOiMkdfaQTdtjbu/huGaIOmynzo8lbdeTfiIiIqL35SGa/ncgsJ3tv/f3QLrD9uZtyzqKRZzFPn7YW201S5RhREREz2QFsh9JOgP4N8rTyd+XdK6ku2ss4A61zt6SrpJ0fY38O1jSt2qdOyUtXevtV+P8xkm6XNIiLfprL1IRYGtJt0v6S2M1UtJikm6QdF+NENyhqa0p9fc2ta1RwIO17KraxwP1CfDGMftIekTS3ZSNwZE0WNITkuar7xeV9DdJCzSvjErauI5vXP2OFpc0SNIJTTGGX+/Ff56IiIhoRyaQ/cj2AcBTwLaUqMIbbW9S358gadFadV1gZ2Bj4KfAazU68A7gy7XOFbY3tr0BMAn4aosu24tUhJKOsyXwWeDYWvYGsJPtoXVM/6O6V04bQ4Fv2P5wfb9v7WMYcKikZSQtT9muZ4vaz9r1O3gJGAt8tB77WeBa21MbjavEK46sfWwAbAe8Xs/xJdsb1+9mP0kzbSMUERERvSuXsOcc2wOfb7pfcSFg5fr6JtuvAK9Iegn4XS2fAKxfX68r6WhgSWAx2uwlqRkjFRvFCzZVuapmXj8oabnGYcB/q2RLvwOsCCwH/KPN2O+2/XjT+0Ml7VRff4ASLfh+4Gbbz9bxjAQaE85GTOJNlM3Cmye2AGsAT9seA+9uzt7IwV6/6f7NwbWvx9scT10J3R9g0BLLtv04IiIiuiETyDmHgF1sPzxDofQRZoxIfKfp/TtM/zccAexoe5ykvYFt2rT/bqRiO/0399GYYe4FLAtsZHuqpMm0jhp8NxZR0jaUFcLNbL8m6eZ2jmk2ijJRXZqSSHNjJ/Wbx3mI7U43Xrd9FmUFlgWXXz2bn0ZERPRAJpBzjmuBQyQdYtuSNrR9fzeOXxx4WtIClInfk80f2n5Z0uOSdrN9ab0Uvb7tcR20ORh4pk4etwU+2IVxDAZeqJPHNYFNa/ldwMmSlgFeBnYDxtWxTZE0BjgZuLpF5vfDwPKSNrY9RtLilEvY1wL/KenGOsYPA0/afpUOJIkmIiIGlD5IoskEcs7xE+B/gfH1gZLHKfcDdtWRlEnas/X34i3qtIxU7KDNi4DfSZoA3AM81IVxXAMcIGkSZeJ3J4DtpyUNp9y3+SLlvsdmI4FLmXnlFNtvSdod+LmkhSmTx+2Ac4BVgPvqhPhZYMcujDEiIiJ6IFGGMeAkyjAiIgaSRBlGRERERL/LBDIiIiIiuiUTyDlU3TtxbP35h6Qnm96/pwvHD5J0aw/6/5qkZ5v6PG8W25ko6cI2ZRfWB3rGSnqo3pPZWTujJbX3BHlERETMRnmIZg5l+3lgCJQ8a2CK7ROb69QHR1T3b2x7/DRgqx4O4yLbh3X3INVIQ0nrAW8D20pa2PbrTdW+afuq+lDMQ5LOt/23Ho63S3oSZdieRBxGRMRAkhXIuYyk1SQ9KOki4AHgSEknNn3+nzXeb35JL9ay7Wok4RWSHpZ0QVP9z9eyeyX9XNJVnfQ/VNJdNTrwckmDa/loSSdJugc4uFbfE7iAsq/j59ppcmHAwGu1naNqNOFESWe0Sb7Zu65aTpA0TNJ8kv5P0+McB6lEMS7d5S80IiIiui0TyLnTmsBJttcGTgJ2ktRYTd4HOLfFMUMpE7u1gbUkbaqSl30aJQVnGCUtptleTZewG5GJFwLfsr0+ZZueI5vqD7I9zPb/1vdfoGzPczFlMtnsJEljgb8BF9QVV4CTazThepQ9JT/VdMyCdSP0bwDn1JXXi4HG8t8ngTG2/9Xi/CMiIqKXZAI5d3rM9j3wbqzfLcCnJa0DTLM9qcUxd9p+ql7aHkvZP3Ft4GHbT7js53Rxm2Musj2k/lxQNwFfyPZt9fPzga2b6o9svJC0KWVT7yeB64FNGquV1TfrZPD9wGckbVLLPy7pbsr+lB8F1mk65uJ6zjcC76vxjL8EvlI/3xdoea+mpP0l3SPpnmmvZTPwiIiInsgEcu7UNmnlHGBvOphAMWNU4TT65v7X5nHtScnnngw8CiwB7Nz2gJrx/Wdgy7oi+gtgp7rCeS4zxiC23bTUticDL9SknA2B61oNzPZZdXV02KBFBreqEhEREV2Uh2jmAbZvk3Qq0Lj021UPAmtI+gDwd2D3Tvp5XtLrkja3fTvwH5TJ3wxqks6uwNq2/1nLPgEcQZsJbo1e3AQ4kXI/5DvAczWucBdKGk7D7sCtKnnb/2yKLPxlrXdeqweK2upZlGF7sqoZERFzqEQZRgcuA9a03eWZTM2rPhj4EzCFEle4UMdH8R+UOMSFgf+j3HPZ1rbA443JY3UTcKGk5er7k+rT5QtSMq1H1Qzw8ykT26cpkYzNptb7Jge16fdKymrliE7GHhEREb0gUYbzCEnXAMfYnmlFsJPjFrM9pT7tfCYwwfbP+2SQfaTeb3mM7W27Uj9RhhERMZAkyjBmUjccfxR4obuTx+o/66reg5RLyGf36gD7mKTvUx7e+V5/jyUiImKgyApkDDhZgYyIiIEkK5DRkqRVJE3sg3aHSzq8RfmPJW3X2/1FRETE3CEP0QwQkgbVPSB7zPYPe6Od/tIXUYaQOMOIiBg4sgI575hf0kWSJkm6TNIikiZLOk7SfcBuklaVdE2NLbxV0poAkj5X4wnvl/Snpiel3yVpP0l/lLSwpBGSdq3lk2v84H01YrDR5rKSrpf0gKRzJD0h6b11tfSh2sYjdczbSbpN0qONDcUlLS3pqhqZeKek9Wv5cEnn1/E/IWlnScfXvq+p2wJFREREH8oEct6xBnCa7bWAl4EDa/nztofavgQ4CzjE9kbA4ZQYQ4DRwKa2NwQuAb7d3HDd6uezwI62X2/R93O2hwKn13YBfgTcaHsdyhZDKzfVXw34H0ok45qUKMIt67GNh2GOAu6vG4p/j5Kp3bAq8DHg85RoxZtsrwe8DrTc4DFJNBEREb0nl7DnHX9rihi8EDi0vh4JZbseYHPg0rJjD1D2YARYCRgpaXngPcDjTe1+mZJXvaPtqe30fUX9fS/T02a2BHYCsH2NpBea6j9ue0Id1wPADXUPyAmUiMXG8bvU42+sT5svUT/7o+2ptf4g4Jpa3nz8DGyfRZlAs+Dyq+fJsYiIiB7ICuS8Y6aYv/q7kdYyH/BiU7b1kLpaCfBz4Bd1Fe/rzLiZeGNStlIHfTdiErsakdgcq/hO0/t3unN8TZ2Z6ulbCXT1+IiIiOiB/Md23rGypM1s30G5JDyakg0NgO2XJT0uaTfbl9aNw9e3PQ4YDDxZq36lTbv3Uy5Nj5L0SdtPdXE8twFfAI6TtD2wVDfP51ZgL+AnNbrwuXoO3WxmZn0TZQiJM4yIiDlSH0QZZgVy3vEwcJCkSZTJ2ukt6uwFfFXSOOABYIdaPpxyafte4Lm2B9keTbk/8feS3tvF8RwFbF+3F9oN+AfwStdPh+HARpLGA8cy88Q2IiIi+kk2Eo8+IWlBYJrttyVtBpxue0h/jwuykXhERAwsfbGReC5hR19ZGfiNpPmAt4D9+nk8ERER0UsygYw+YftRmu7BjIiIiHlH7oEcACRNmYVjdpS0dtP7EfUhnLH15/beHWXPtRe9GBEREb0rK5DRnh2Bq4EHm8qOsH1ZP42n1/RVlCEkzjAiIgaGrEAOEJK2kXR10/tfSNq7vj5W0oM1NvBESZtTUl5OqKuNq3bQ7nBJ50q6WdJfJB3a9NmRkh6WNFrSxY3VwRqLOEbSOEmXS1qklq9aYwsnSDq6eeVU0hH1mPGSjmoq/36NRBxNSeOJiIiIPpYJ5AAnaRlKYsw6NTbwaNu3A6MoK45DbD9WqzcmlGMlXdTUzJrAJ4FNgB9JWkDSxpQkmQ2ATwPNT39dYXtj2xsAk4Cv1vKTgZPrhuZ/bxrj9sDqtf0hlO19tpa0EbBHLfsMsHEH55kow4iIiF6SS9jxEvAG8Mu6Qnl1B3Xbu4T9e9tvAm9KegZYDtgC+K3tN4A3JP2uqf66ko4GlgQWA66t5ZtRLp0D/Bo4sb7evv7cX98vRplQLg5cafs1AEmj2ht4ogwjIiJ6T1YgB463mfHfeyEA229TVvYuAz7L9Fzp7miOJuxKnOEI4OC60ngUM0YntiLgmKYIxtVs/3IWxhkRERG9ICuQA8cTwNp1g++FgY8DoyUtBixi+w+SbgP+Uuu/Qlnhm1W3AWdKOobyd/ZZ6gpgbfdpSQtQ0nEaMYp3Ui57j6Rcmm64lhJpeJHtKZJWBKYCtwAjmvr4HHBmZwPruyhDSJxhRETMcfogyjATyHmcpPmBN23/TdJvgInA40y/HLw48FtJC1FW+r5Vyy8Bzq4Pxexay06Q9IOm5jdpr1/bY+ol5fHAP4EJTJ9dHQncBTxbfzcmqocBF0r6PmUl9KXa1nWS1gLuqFnYU4Av2b5P0khgHPAMMKZbX05ERETMkkQZzuMkbQCcbbvdyV4f9r1YXTFchLJauL/t+zqovwjwum1L2gPY0/YO7dWfVYkyjIiIgSRRhtEtkg4ADqWs7PWHs+pm5AsB53c0eaw2An6hssz4IrBvXw8wIiIiui8TyHmY7TOAM/qx/27tqm37Vsq2PxERETEHy1PYA0CNJbSkNTup9wdJS85iH8MlPVn3iHxI0umSevXvS9KSkg7szTYjIiKi+7ICOTDsCYyuv3/UXiXbn+lhPyfZPrFOHG8BPgrc1MM2my0JHAic1pNGEmUYERHRM1mBnMfVbXq2pKS97FHLlpd0S10tnChpq1o+WdJ76+urJN0r6QFJ+ze1N0XST2sM4Z2SlmvR7Xso9z2+UI9ZVdI1tb1bGyuhkj4n6S5J90v6U6Otupp5eFOfEyWtAhwLrFrHfYKkCyTt2FTvIkm9/tBNREREzCgTyHnfDsA1th8Bnq/xf18ErrU9hHLP4dgWx+1reyNKBOGhNfIQYFHgzhpDeAuwX9Mx35Q0FngaeMR2o92zgENqe4czfQVxNLCp7Q0p2wZ9u5Nz+S7wWN1M/Ajgl8DeAJIGA5sDLZcWE2UYERHRezKBnPftSZmcUX/vSdkvcR9Jw4H1bL/S4rhDJY2jbO79AUp0IMBbTI87vBdYpemYk+qk9H3AopL2qCugmwOX1snlmcDytf5KwLWSJgBHAOt058Rs/xlYXdKy9bwur8k6reqeZXuY7WGDFhncnW4iIiKijdwDOQ+TtDTwMWA9SQYGAaZM1rYG/p2S5PIz2xc0HbcNsB2wme3XJN3M9LjBqZ6+eWjL2ELbUyVdU/v4A/BinVi29XPgZ7ZH1T6H1/KWsYvtuAD4EuXy/D4d1IuIiIhekgnkvG1X4Fe2v94okPRnysRutO2za7ThUMpErGEw8EKdPK4JbNqdTus+jlsA99t+WdLjknazfWn9bH3b42o/jRjDrzQ1MZkSfYikocCHanmreMURwN3AP2w/2JXxJcowIiIGlD6IMswl7HnbnsCVbcoup0y6xkm6H9gdOLlNnWuA+SVNojy4cmcX+2vcAzmRstrZuNdxL+Cr9ZL4A5T7MqGsOF4q6V7guTZjXFrSA8DBwCMAtp8HbqsP1ZxQy/4JTALO6+IYIyIioocSZRhztRp/OAEYartLy3+JMoyIiIGkL6IMswIZcy1J21FWH3/e1cljRERE9FzugYy5lu0/AR/s73FEREQMNJlAzgPqJttX2153NvW1ue1fN5VdTNmC5zzbJ/Ww/cnAMNvPSbrd9uY9aa+VvkyiaUgiTUREzMsygRwgJA2yPa0XmlqFshH5r2u77wc2tr1aL7Q9g76YPEZERETP5R7Iecf8NcpvkqTLJC1SowmPk3QfsNssRAp+tMYGjq2fLU55KnurWvZN4Dpgxfp+qw76WFbS5ZLG1J8tavkykq6rkYnnAO/uNSBpSv29jaSb63k9VM9T9bPP1LJ7JZ0i6WoiIiKiT2UCOe9YAzjN9lrAy8CBtfx520NtX0L3IwUPBw6qm4BvBbxOiRO8tcYJngR8nunxgrd20MfJlKSajYFdgHNq+Y8oe1KuQ9lyaOV2zm9D4DBgbeDfgC0kLURJtvl07W/Z9r6cRBlGRET0nlzCnnf8zfZt9fWFwKH19UiANpGCjWMWrL9XAkZKWh54D/B4Lb8N+Jmki4ArbP+96diZdNLHdsDaTeVL1PpbAzsD2P69pBfaaf5u23+v/YylXEqfAvzFdmO8FwP7tzrY9lmUyS0LLr969q6KiIjogUwg5x1tJ0WN96/W3/PRzUhB28dK+j3wGcoG3p/sZAwd9TEfZZXzjebCjiakbbzZ9LplhGJERETMHvmP8LxjZUmb2b6D8pDLaMplXwBmJVJQ0qq2JwATJG0MrAn8jZnjBLvSx3XAIcAJte0htscCt9TxHi3p08BS3Tjnh4F/k7SK7cmUVJ1O9W2UYUMuk0dExBwiUYbRgYeBg2r84FLA6S3qdDdS8LAaGzgemAr8ERgPTJM0rj5E09U+DgWGSRov6UHggFp+FLB1jS3cGfhrV0/Y9uuUez2vqWN/hczcIiIi+lyiDGOuJmkx21PqauepwKOd7UWZKMOIiBhIEmUYMbP96kM1D1AuxZ/Zz+OJiIiY5+UeyJir1dXGHqXfRERERPdkAhm9rjnakHI/5i22/yTpMOAs26/15/hmR5Rhs8QaRkTEvCYTyOhVnUQbHkbZo7JfJ5ARERHRM7kHMjolaeP69PRCkhatsYNHSrpBxfKSHqmTx7bRhiMk7SrpUGAF4CZJN9V2p0j6aX2i+86mCMX2Yg9nilasfd9SyyZK2qq/vqeIiIiBIhPI6JTtMcAo4GjgeOBC2z8BngYOAs4GfmT7H8wcbdho4xTgKWBb29vW4kWBO21vQNkPcr9a3l7sYatoxS8C19ayDYCxrc4hUYYRERG9J5ewo6t+DIwB3mB6TOIhwETKJPDiWWjzLeDq+vpe4BP1dXuxh62iFccA50paALiqbk4+k0QZRkRE9J6sQEZXLQMsRkmhWaiWrQS8AywnaVb+lqZ6+kakzfGEjdjDIfVnRdtTbB8LfA1YmBKtuKbtWyh52k8CIyR9eZbOLiIif/xbYwAAIABJREFUIrosK5DRVWcCRwIfAo6rT1SfC+xJiT/8FnBiJ228QpmAPtdJvZaxh62iFSW9Dvzd9tmSFgSGAhd01PjsiTJslkvmERHRj/ogyjATyOhUXdWbavvXkgYBtwPfA261PbrGFo6R9HvKfYntOYsSO/hU032QrRwKnFojFOen3B95ACVacVvKqucDlGjFPYAjJE0FpgBZgYyIiOhjiTKMASdRhhERMZAkyjAiIiIi+l0mkD0g6VBJk+pTwX3R/nBJh3dSZ1lJd9V9Ebu1B2Jjj8YW5StIuqy74+1m39tIurqTOgfkoZiIiIg5T+6B7JkDge1s/70fx/BxYILtr/VWg7afAmaaWM5uts/oi3Znd5RhQyINIyJiXpEVyFkk6Qzg34A/Svq+pHMl3V1XAneodfaWdJWk6yVNlnSwpG/VOndKWrrW268mroyrCSyLtOhvVUnXSLpX0q2S1pQ0hLKx9w41iWVhSafXDbMfkHRU0/HHSnqwJso0Py29taTbJf2lsRopaRVJE+vrhSSdJ2lCHfe2Ted2RR3To5KOb+qrvTF8StJDku4Ddq5l89XvZsmmeo9KWq55BVbSapL+VL+j+yStWsuPqN/d+Oa+IiIiou9kAjmLbB9ATVahJKrcaHuT+v4ESYvWqutSJksbAz8FXrO9IXAH058YvsL2xjWRZRLw1RZdngUcYnsjSiLLaXXT7B8CI+t+ia8D3683yq4PfFTS+pKWAXYC1rG9PiVRpmF5YEvgs8CxLfo9qJyu16Ns2XO+pMY+kEOA3YH1gN0lfaCWtxrDQpTEms8BGwHvr9/jO8Bv6/iQ9BHgCdv/bDOOi4BT63e0OfC0pO2B1YFN6lg2krR1i3OIiIiIXpQJZO/YHviupLHAzZSNtleun91k+xXbz1I2BPxdLZ8ArFJfr1tXFScAewHrNDdeU1g2By6tfZxJmfi18oW6wnd/bWft2u8bwC8l7Qy81lT/Ktvv2H4QWK5Fe1sCFwLYfgh4Avhw/ewG2y/ZfgN4EPhgB2NYE3jc9qN18/ALm/oYSZmIQtmWZ2Sb818cWNH2lXUcb9h+jfK9b1/7ua/2sXqrL0WJMoyIiOg1uQeydwjYxfbDMxSW1bQ3m4reaXr/DtO//xHAjrbHSdob2KZN+/MBL9a85/YHIX2Isjq5se0XJI0AFrL9tqRNKPdL7gocDHysHtY8vu7uNNp87DRg/vbG0Ek7dwCrSVoW2JEZV0g7IuAY22d2VjFRhhEREb0nK5C941rgEKmEN0vasJvHL065JLsAZQVyBrZfBh6XtFttX5I2aNHOEsCrwEuSlgM+XesvBgy2/Qfgm0CrY9tza2NMkj5MWVl9uIP6LccAPASs0rh3kXI5vHF+Bq4EfgZMsv18c4O2XwH+LmnHOo4F632i1wL71vND0oqS3teNc4uIiIhZkBXI3vET4H+B8SqZ0I9T7insqiOBu4Bn6+/FW9TZCzhd0g+ABYBLgHHNFeoK5v2UydrfgNvqR4sDv633IYoSO9hVp9V+JwBvA3vbfrPOlWfS3hhsvyFpf+D3kl6jTEybz3MkMAbYu51x/AdwpqQfA1OB3WxfJ2kt4I46ninAl4BnOjqh2R9l2JBL5xER0Q/6IMowSTQx4CSJJiIiBhIliSYiIiIi+lsmkBERERHRLZlAxhxNJW7x8bpR+lhJt9fyvSU9Wzc3f1TStZI27+/xRkREDAR5iCb6naRBtqd1UOUI262yuUfaPri2sS1whaRtbU/qqL/+ijJsJfGGERExN8oKZPSpGov4kKSLJE2SdJmkRWp84XF1w/HdJA1RiXccL+lKSUt1px/bN1H2edy/T04kIiIi3pUJZMwOa1CiF9cCXgYOrOXP2x5q+xLgAuA7NWpxAvCjpuNPaLqEfVEH/TTSaCIiIqIP5RJ2zA5/s93Yk/JC4ND6eiSApMHAkrb/XMvPBy5tOr69S9httbvRVd2Dcn+AQUss242hR0RERFtZgYzZoe1mo433r/ZyPxsCLe9/tH2W7WG2hw1aZHAvdxsRETGwZAUyZoeVJW1m+w7gi8BoymQPANsvSXpB0la2b6Wkzvy5nbZakvRRygrjtp3V7b8kmlaSThMREX2sD5JosgIZs8PDwEGSJgFLAae3qPMVyr2O44EhwI+bPmu+B3KspPfU8t3r+0eA7wG7dPYEdkRERPRcViBjdnjb9pfalK3S/Mb2WGDTtgfa3rudNkfUn4iIiJjNsgIZEREREd2SFcjoU7YnA+v29zgiIiKi92QFcg4kaUqb93tL+kUnx3xe0nf7dmQz9bmGpJvrfYiTJJ3VSf1zJK09u8YXERERfSMrkPMI26OAUW3LJc1v++1ZbbeTmMFTgJNs/7bWXa+TMX5tVsfRm+akKENInGFERMx9sgI5l5H0OUl3Sbpf0p8kLVfL312llDRC0hmS7gKOl7SYpPMkTahRgbvUeqdLukfSA5KOauqjbczgqpKukXSvpFslNdJelgf+3jjO9oR6/CBJJ0qaWPs7pJbfLGlYfb29pDsk3SfpUkmLNfV9VC2f0Oirg3No2U5ERET0naxAzpkWljS26f3STF9dHA1satuSvgZ8G/ivFm2sBGxue5qk44CXbK8H0JQz/X3b/5I0CLhB0vq2x9fPnrc9tNa/ATjA9qOSPgKcBnwMOAm4UdLtwHXAebZfpOzHuAowxPbbkpZuHpik9wI/ALaz/aqk7wDfYvrWPc/ZHirpQOBw4GvAkW3PoQvtRERERB/IBHLO9LrtIY03kvYGhtW3KwEjJS0PvAd4vJ02Lm269LwdsEfjA9sv1JdfqBF/81NWE9cGGhPIRszgYsDmwKXSuxuRLljbOU/StcCngB2Ar0vaoPZ3RuPSue1/tRnbprWv22qb7wHuaPr8ivr7XmDn9s5B0mc7aeddiTKMiIjoPZlAzn1+DvzM9ihJ2wDD26nXYUygpA9RVvc2rpOxEcBCLY6fD3ixeULbzPZTwLnAuZIm0rUnrgVcb3vPdj5/s/6eRsd/o5210zzOs4CzABZcfvW20YoRERHRDZlAzn0GA0/W11/p4jHXAwcBh8G7l7CXoEwSX6r3UX4auLntgbZflvS4pN1sX6qy1Le+7XGSPgXcYHuqpPcDy9SxXU9ZjbypcQm7zSrkncCpklaz/X+SFgVWtP1IN89hVtqZw6IMIXGGERHRpxJlGJQVx0sl3Qs818VjjgaWqg+1jAO2tT0OuB94CPg1cFsHx+8FfLUe+wDlcjXA9kCjzWuBI2z/AzgH+Cswvn42w2PGtp8F9gYuVokuvANYk461OodZaSciIiJ6SHau5sXAMmzYMN9zzz39PYyIiIjZQtK9tod1XrPrsgIZEREREd2SCWREREREdEsmkLOZpGk1+m+ipN9JWrKbxw+XdHiL8lXqU9BIGibplPp6G0mbd3Z8f5D0h47OX9JhkhaZnWOKiIiIzuUp7Nnv3T0eJZ1PebL4p73Zge17gMZNftsAU4Dbe7OPnqhPcsv2ZzqpehhwIfBab/Y/p0UZQuIMIyJi7pIVyP51B7Bi442kIySNqVF9zdGC35f0iKTRwBpN5RtJGlefSj6oqXwbSVdLWgU4APhmXfXcqr2BSLqqRhU+UDfdbpTvU/u+W9LZmjEucdemelM6Oo+6QvqwpAuAicAHVGIL3ytpUUm/r+cyUdLukg4FVgBuknRTbaO96MVjJT1Y+zuxG99/REREzIKsQPaTGh/4ceCX9f32wOrAJpQNskdJ2pqyV+MewBDKv9d9lIQWgPOAg23fIumEtn3YnizpDGCK7RNrPx9vZ0j71ljDhYExki6nJLscBWxE2azwJsrWPx2dV3vn8dda/hXbd9a6jcM+BTxl+99r+WDbL0n6FmW7nsZ2RTNFL1L2ndwJWLPGO7a8JJ4kmoiIiN6TFcjZr5Fz/Q9gOcoG2VD2VNyeMkG7j7Kf4erAVsCVtl+z/TI1E7tOlJa0fUs9/lc9HNehdSXzTuADte+PADfbftb2W9R4w060dx4ATzQmj21MAD4h6ThJW9lub2ftL0i6r7a9DiXG8CXgDeCXknamncvdts+yPcz2sEGLDO7CaURERER7MoGc/Rr3QH6QskLXuPQs4BjbQ+rParZ/OTsGVCMRtwM2s70BZYK2UIcHwdvUvx9J81FWK6Hj82gZr1iTY4ZSJpJHS/phizE2ohc/bnt94PfAQjVvexPgMuCzwDVdO+uIiIiYVbmE3U9sv1bv87tK0mmUJJefSLrI9hRJKwJTgVuAEZKOofx7fQ440/aLkl6UtKXt0ZS0mFZeocQWdmQw8EId05rAprX8LuBkScsALwO7AePqZ5Mpl7Z/A3weWKCWt3ce7ZK0AvAv2xdKehH4WtPYF6ck7rSMXpS0GLCI7T9Iug34SyfnOgdGGULiDCMios/0QZRhJpD9yPb9NYJvT9u/krQWcEe9N3AK8CXb90kaSZm4PQOMaWpiH+BcSQaua6eb3wGXSdoBOKSW/UDSYU11VgUOkDQJeJhyGRvbT0saTnnY50VgbNMxZwO/rZe9r6GuLtq+rtV5ANM6+CrWA06Q9A5lsvmftfws4BpJT9neVlIjevFvTI9eXLyOYyHK6ue3OugnIiIiekGiDKPLJO0NDLN9cH+PpScSZRgREQOJEmUYEREREf0tl7Cjy2yPAEb08zAiIiKin2UFsp9JsqQLm97PL+lZSVd3ctzejU29+3h875U0VdIBszKWxgbjklaQdFknfc0QXahOog4jIiKif2QFsv+9CqwraWHbrwOfoGyOPafYjfJQzZ7AGbPaiO2ngF07qTZDdGEXog5nyZwYZdiQSMOIiJgbZAVyzvAHoLGvzJ7AxY0PJG0i6Q5J90u6XdIabQ+W9O+1znslLSvp8holOEbSFrXOcEmHNx0zscYLriLpIUkXSZok6bLmVcA6nv8CVpS0UtPx+6hGHAJbNJV/qI5lgqSjm8pXkTSxvh4k6cQ6hvGSDlHr6MLJkt5bX3+r1p/YeIK8tjlJJWLxAUnXqSTpRERERB/KBHLOcAmwR92KZn3K/osNDwFb2d4Q+CHw380HStoJ+C7wmRr5dzJwku2NgV2Ac7rQ/xrAabbXouz3eGBt+wPA8rbvpuz3uHstX54ScbgFsCUlEabhZOB02+sBT7fT3/7AKsCQuin4RbZPAZ6iRBdu2+YcN6JsWfQRyh6V+0nasH68OnCq7XUoWw3t0qpDSfur5GjfM+217LkYERHRE5lAzgFsj6dMqPakrEY2GwxcWlfvTqJE+DV8DPgO8O+2X6hl2wG/UIlLHAUsUTfb7sjfbDf2VbyQMimEMmH8TX19SR0fdBxxuAXTV1Dbi1fcjrIZ+tsAtv/Vyfi2pMQ5vmp7CnAFJeIR4HHbjf0p76V8jzNJlGFERETvyT2Qc45RwInANsAyTeU/AW6yvZOkVYCbmz57DPg34MNAY2PD+YBNbb/R3Likd6MHq+aowrabgTbe7wm8X1Ij5WYFSavTudm5ueibTa+nAbmEHRER0ccygZxznAu8aHuCSjZ1w2CmP1Szd5tjngCOAK6QtJvtByiJNIcAJwBIGlJX6CZTsqKRNBT4UFM7K0vazPYdwBeB0ZI+DCxme8VGJUlHUSaVZ9N+xOFtwB6Ulcz24hWvB74u6Sbbb0tauq5CNkcXNruVEud4LCVtZifgP9ppu1NzZpRhQy6vR0REL+uDKMNcwp5D2P57vQ+wreOBY2qM30wTftsPUSZql0paFTgUGFYfTnkQaGy/czmwtKQHgIOBR5qaeRg4qEYZLgWcTpkoXtmmu8spsYtPA8MpEYe3AZOa6nyjtjUBWJHWzgH+CoyvUYiNR48b0YU3tTnH+yj7T95NuT/0HNv3t9N2RERE9LFEGQ5w9bL41bbX7eehzDaJMoyIiIEkUYYRERER0e9yD+QAZ3syMGBWHyMiIqLnMoGMWSLJlP0bv1Tfz0/Z9/Eu25+dTWNYATjF9q6ShgAr2G67DdJM5uQkmlaSThMREXOaXMKOWfVuBGN9P9sjGG0/ZbsRjzgE6JPow4iIiJhRJpDREx1FMC4t6ar6NPidktav5cMlnS/pVklPSNpZ0vE1+vAaSQvUepMlHSNpbE2QGSrpWkmPSTqg1lmlRhu+B/gxsHutv/ts/RYiIiIGmEwgoyc6imA8Cri/RhV+D7ig6bNVKSk6n6fsF3lTjT58nekTUoC/2h5C3QcS2JUSZXhU8yBqGs4PgZG2h9huTsYBEmUYERHRm3IPZMwy2+PrNkCtIhi3pOZS275R0jKSlqif/dH21LpX5CDgmlo+gRmjCEc1lS9m+xXgFUlvSlqym2M9i7LPJAsuv3r2roqIiOiBTCCjp9qLYOzImwC235E01dM3I32HGf8m32wqb44sbFsvIiIiZqP8Rzh6qr0IxlspCTk/qeXP2X5Z6v04paoRg9ipOTvKsJVcco+IiB5IlGHMaTqIYBwObCRpPHAs8JU+HspNwNp5iCYiIqLvJcowBpxEGUZExECSKMOIiIiI6HeZQEZEREREt+QhmpgjSZpie7Fu1N8GeMv27Z3VnduiDCFxhhERMWfJCmT0uZqT3de2ATafDf1EREQMeJlARq+Q9OUaWzhO0q8kjZB0hqS7gOM7iDZcTNJ5NcpwvKRdmtr8aW3vTknL1bJlJV0uaUz92aJuZn4A8M36FPZW/fAVREREDBi5hB09Jmkd4AfA5rafk7Q08DNgpVo2TdLPKdGGO0r6GCXacAhwJPBSjTJE0lK12UWBO21/X9LxwH7A0cDJwEm2R0taGbjW9lqSzgCm2D6xnTHuD+wPMGiJZfvke4iIiBgoMoGM3vAx4FLbzwHY/lfdMPxS29NqnfaiDbcD9mg0ZPuF+vIt4Or6+l7gE/X1dpT9HhuHLCGp03slE2UYERHRezKBjL70ag+ObY44nMb0v9X5gE1tv9FcuQ8TbiIiIqKNTCCjN9wIXCnpZ7afr5ew22ov2vB64CDgMCiXsJtWIVu5DjgEOKHWH2J7LCXKcImuDHbuizKExBlGRMQsS5RhzIlsPwD8FPizpHGU+x/bGk7raMOjgaUkTazHbttJd4cCw+oDNw9SHp4B+B2wUx6iiYiI6HuJMowBJ1GGERExkCTKMCIiIiL6XSaQEREREdEteYgmOiVpR+BKYC3bD3VQb4b4QUnrAb+qb1emPAnyEuUBmu262Pf8tf6SklYDLrM9RNIXgK/a/mSt91HKvZebNG0d1FKiDCMiInomK5DRFXsCo+vvLrM9wfYQ20OAUcAR9f0Mk8dZiTq0/ZtyqL4g6T3AqcCBnU0eIyIioucygYwO1U26twS+St3wW9Lykm6pTzxPbPvUs6T3SrpDUrt75UjaTtLNkq4GJtSyb9f2Jko6pAvDOwg4BjgKuM32XbN2lhEREdEduYQdndkBuMb2I5Kel7QRsA0lQvCnkgYBizQq18zqUcAPbF/fSdvDgLVt/1XSRyj7RG5M+bu8W9LNwKT2Drb9qKQrKFv5rNpRR4kyjIiI6D1ZgYzO7AlcUl9fUt+PAfaRNBxYz/Yr9fMFgBuAb3dh8ghwh+2/1tdbApfbfr22dxXQ4X6OdfL6ceA1yj2W7bJ9lu1htocNWmRwF4YWERER7ckEMtpVE2U+BpwjaTJwBPAFSqrM1sCTwAhJX66HvE3Jrf5kF7voSdQhlE3F7wW+Dpyq5BlGRETMFrmEHR3ZFfiV7a83CiT9mTJ5HG37bEkLAkOBCwAD+wKXSvqO7eO60detwJmSTgAGUS6d795eZUkrUFNpanzifsDewHmddZQow4iIGFD6IMowE8joyJ5A20ng5cAI4FVJU4EpQGMFEtvTJO0JjJL0iu3TutKR7bslXUy5PA5wuu0JHTyh/b/Af9t+vr7/BnCzpCttv9iVPiMiImLWJMowBpxEGUZExECSKMOIiIiI6HeZQEafkLSjpLW7Uf+ApodxIiIiYg6WeyCjr+wIXA082JXKts/o2+FMNzdGGTYk0jAiIuYEWYGMLpP0JUl31wSaMyUNkjRF0k8ljZN0p6TlJG0OfB44odb9iKR7axsbSLKklev7xyQtImm4pMMlrSnp7qY+V5HUSKrZSNKfJd0r6VpJy9fyQyU9KGm8pEtmHnlERET0pkwgo0skrUXZVmeLmm09jZIcsyhwp+0NgFuA/WzfzozZ13cBC0lagrI5+D3AVpI+CDxj+7VGP7YfAt4j6UO1aHdgpKQFgJ8Du9reCDgX+Gmt811gQ9vrU1JpIiIiog/lEnZ01ceBjYAxdb/uhYFngLcol6qhbOr9iXaOvx3YgrKH5H8DnwJE2f+xrd9QJo7H1t+7A2sA6wLX1/4HAU/X+uOBiyRdRUmwmUmiDCMiInpPViCjqwScX1cUh9hew/ZwYKqn7wU1jfb/p+QWyurjB4HfAhtQ4gtbTSBHAl+Q9GHAth+t/T/Q1P96trev9f8dOJWyofmYVntHJsowIiKi92QCGV11A7CrpPdBiTmsl6Db8wqweNP7W4EvAY/afgf4F/AZYHTbA20/RpmMHkmZTAI8DCwrabPa/wKS1pE0H/AB2zcB3wEGA4vN+mlGREREZ3IJO7rE9oOSfgBcVydtU4GDOjjkEuBsSYdS7lt8rGZV31I/Hw2sZPuFdo4fCZwAfKj2/5akXYFTJA2m/O3+L/AIcGEtE3BKZ0k0c2eUYUMiDSMiopv6IMowSTQx4CSJJiIiBpIk0UREREREv8sEMiIiIiK6JRPIflY3yp7YovyczqIAJY2o9wX2dAx7S/pFT9tpp+2bJc20bN6XfUZERETfykM0cyjbX+vvMXSVpEG2p/X3OLoqUYYRERE9kxXIOcP8ki6SNEnSZTXa792VO0lflfRIjRE8u83K3XaS7qmff7bWX0jSeZImSLpf0rYdlVcfqH0+KulHtf4qkh5qO7b62WRJx0m6D9hN0pAaZThe0pWSlmpq+z9qpOFESZu0PXlJy0q6XNKY+rNFLR8u6XxJt0p6QtLOko6v47+mptMg6dimKMMTe++fJSIiIlrJBHLOsAZwmu21gJeBAxsfSFqBsh/ippQklzXbHLsKsAllM+0zJC1E2V7HttcD9gTO76Sc2sYuwPqUCWHjsnO7YwOetz3U9iXABcB3apzg/2fvvsPsqgr1j39fQhNDggURQQxEitQIAaUKiNiQoiAqVwFRRBSu+sN2baCoeKMgHREhIE0RQpcindADCSF0SK4CSu8QSnh/f6x1yM4wM5nJzGSSmffzPPPMOWvvvdY6J+FhZe291jsZ+FnjvMVq/OGelAjCtg4GDrK9bu3DMY1jI4HNKdnaJwKX1f6/CHxS0tuA7YDVatv7t1N/RERE9KIMIOcN/7I9vr4+kZLQ0rIecIXtJ2y/ApzW5tq/2n6tprXcTxlgblTraWVL/x+wUiflABfbftz2i8AZjT501re/ANQ9GJewfUUtP54SWdhySm3zSmCYpCXafIYtgMMkTaRkaA+T1NoM/O/1c0+mxBdeUMsnUwbPTwPTgT9J+jTwAu2QtHudqb1pxgvZSzEiIqInMoCcN7TdjLM7m3P25Nqu1NNZ/c/3sO6WBYAPNmIKl7H9XD32EkBNr2nGJr4GLGj7Vcog+2/AVswcYM7aYKIMIyIiek0W0cwblpO0vu1rgS9QUlo+VY/dCPy+PlP4LOUW7+TGtTtIOp6S2LICJfLvKmAn4NKaJ73cbMrXBj4i6a2UW8PbAl/upG+zsP20pCclbWz7KuCLwBWNU3YELpO0EfB0Pb9ZxUXAXpTkGSSNsj2xK19cnalczPb5ksZTZmE7lSSaiIgYVPogiSYzkPOGu4BvSLoDeAtwZOuA7QeBXwE3AOOBacw6ivhnPfZ3YA/b04EjgAUkTabcZt7F9kudlFPrOB24FTjddiuqpcO+tbEzMEbSrcAo4OeNY9Ml3QIcBezWzrV7A6PrIpjbgT06/KbeaHHg3Nru1cB3unFtREREzIFEGc4HJA21/ZykBYFxwLG2x82FdkcA59peva/bmpsSZRgREYNJogwHr33rApPbgKnAmf3cn4iIiBjE8gzkfMD2Pv3U7jRgQM0+RkRERM9lBnIe1FG8YT/0Y5qkt0taQlJzb8pNJZ3bzbrajTSMiIiI+U9mIKMrlqBsAn5Ef3ekN8zPUYaQOMOIiOh/mYGcd7UXb7iOpCskTZB0oaSlJY2scYIASFqx9V7Sh2tk4WRJx0papJZPk7SfpJvrsVVq+dskXSRpiqRjgNa6/wOAkTWOcEwtG1r71Yo6VK3jDX1sfKY3RBrWuMLXb9HXYyM0M0ZxrEpM40mStpA0XiVusXn9nyVdW8u/2id/GhEREfG6DCDnXW0jBL8BHApsb3sdSiTgL23fBzwtaVS9blfguBpROBbYsUb/LQh8vVH/Y7bXpmzL0xrA/Qy42vZqlNXey9XyHwD31U2+v1vL3g98C1iVsv/khjWb+g19bLQ5u0jDtt4L/I6SrrMKZR/KjWp//6dx3pqUuMP1gZ/W+MeIiIjoIxlAzrvaRgh+lLKg5eK6IvvHwLL1+DHArpKGUDbtPpkyAJ1q++56Ttt4wTPq7wmUSEDq8VbU4XnAk5307wbbD9SEmIm1jpU76SPMPtKwram2J9c2pgCX1CSaVoxhy1m2X7T9GHAZJZlmFokyjIiI6D15BnLe1XaDzmeBKbbXb+fc0ymzh5cCE2w/LmnZds5ram0gPoM5+3vwUuN1qw510kdoP9LwVWb9h8yiHbTxWuP9a8za59nGOdo+GjgaYJGlV8zmpxERET2QAeS8q22E4HXAV1tl9XbxSran2J4u6ULK7ehW0stdwAhJ77V9L2+MF2zPlbWt/SV9nJI8A2XwungX+nwXsGR7fazH24s0nEbJsEbS2pRIxu7aRtKvgTcDm1JuuXdo/o4yhMQZRkREtyTKcFBpGyF4KLA98BtJkyi3jTdonH8SZWbuIoCYP2lHAAAgAElEQVQaabgrcFqNLnyNEiXYmf2ATSRNAT5NiUnE9uPA+LrAZUxHF9t+eTZ9bC/S8HTgrbXNbwJ30323Um5dXwf8wvZDc1BHREREdFGiDAeIupJ5uO2f9Hdf5iZJ+wLP2f5tV69JlGFERAwmfRFlmFvYA4CkccBIykrkiIiIiD6VAeQAYHu7/u5Df7G9b3/3ISIiYrDJM5ADQGfRgq04wvr6mj5ou09iFyVtLanTxTARERHRPzIDOYjY3mD2Z80bbJ8NnN0Xdc/vUYaQOMOIiOhfmYHsZ5K+K2nv+vogSZfW15vX+L4ta0zfzZJOkzS0Hv9Yjfq7mbJiulVfR3GESHqu/t5U0uUdRBF+opZNkHRIa2azK5GBdTbyqtrXmyVt0IX2OopV3EXSYfX12NqXayTdL2n7Wr6ApCNqnRdLOr91LCIiIvpOBpD97ypg4/p6NCVjeqFadislzWWLGjt4E/CdGlP4R+BTwDrAOxv1dRRH2FZ7UYSLAn8APl6jCJdsc83sIgMfAT5S+7ojcEhn7TWOtRer2NbSlBjDrSjZ3FAGziNqnV+s/WpXkmgiIiJ6TwaQ/W8CsI6kYZSklWspA8mNgRcpg6PxNRpwZ+A9lFzoqbbvqdF+Jzbq62ocYXtRhKsA99ueWs85pc01s4sMXAj4Y9138rTa987aa2kvVrGtM22/Zvt2YKlathFwWi3/T+1Tu2wfbXu07dFDFhve0WkRERHRBXkGsp/ZfkXSVGAX4BrKrONmwHuBqcDFtj/fvEbSqF5our0owtl2dzbvvw08DKxF+cfJ9C6215VYxeb1vb+lfkRERHRZBpDzhqsot26/DEwGDqTMxl0HHN6KI5T0ZmAZ4E5KTOFI2/cBzQFmR3GEXXEXsIKkEbanUW5DN7UXGbhw4/hw4AHbr0naGRjSjbbnxHhgZ0nHU263bwqcPLuL5v8oQ0icYUREdFmiDAesqyjP+F1r+2HKzN1Vth+lzEyeIulWyu3tVWpM4e7AeXURzSONutqNI+wK2y8CewIXSJpAycBujlRmFxl4BGVAN4lyO/z5rrY9h04HHgBup9y2v5mMrCIiIvpcogxjFpKG2n6urpI+HLjH9kFzEhk4NzT6+zbgBmDD+jxkhxJlGBERg0miDGNu+Gq9/bwwcAtlVfa87FxJS1D6+4vZDR4jIiKi5zIDGYNOZiAjImIw6YsZyDwDOYhJeqekUyXdVzcOP1/SSn3Qzsp1I/GJku6QdHQtHyXpE43zXo8vlLStpFU7qrOe02GEY0RERPSd3MIepOozjuOA421/rpatRdlj8e76fkHbr/ZCc4cAB9k+q9a7Ri0fRdnz8nx4Q3zhtsC5lAUyvSpRhhERET2TGcjBazPgFdtHtQpsTwKG1DjCs6mDN0nfkXRb/flWLXuzpPMkTarlO9byAyTdLulWSa0FN0tTVku32pksaWHg58COdWZyx1Z8YY1A3BoYU4+NlPReSf+o7d0saWStbmh7EYkRERHRdzIDOXitTtlrsj1rA6vbnippHWBX4AOUDbyvl3QFJY7wIdufBJA0vK6E3o6y1ZDr4haAg4BLJV0DXAQcZ/spST8FRtv+Zq1jFwDb19QB7Lm2/1aPXQ8cYHtcjVxcAHg3JSJxNeAhyr6QGwJXt/1AknanbH3EkGFtExojIiKiOzIDGe25oRFnuBEwzvbztp+jxA5uTNnw/COSfiNpY9tPU/ZgnA78SdKngRcAbB8HvI8Sb7gpcJ2kRbraGUmLA8vYHlfrm277hUZfO4pIfF2iDCMiInpPBpCD1xRgnQ6OzXYDcNt3U2YqJ1NSb35an5dcD/gbsBVwQeP8h2wfa3sb4FXKDGhvmJNIxoiIiOiB/M928LoU+JWk3W23VkWvSZldbLoKGCvpAMot7O2AL0p6F/CE7RMlPQV8RdJQYDHb50saD9xf6/0YcEnN/X4n8DbgQcps4eId9O/Z1jHbz0p6QNK2ts+ss5dzHJOYKMOIiBhUEmUYvcVlA9DtgC3qNj5TgF8D/2lz3s3AWErKy/XAMbZvAdYAbpA0EfgZsD9lwHdujV28GvhOrWZL4LYacXgh8N264fdlwKqtRTRtungq8F1Jt9QFM18E9q51XwO8sxe/joiIiOiGbCQeg042Eo+IiMEkG4lHRERERL/LADIiIiIiuiWLaAYASTMoq6FbtrU9rY/b3AUYQ1kMA3Cr7S91cv5Y6r6Oki4H9rF9k6TzgS/YfqqD6/YFnrP92/aOz4mBkEQDSaOJiIj+kwHkwPCi7VH90O5fWpuAzynbn5j9WRERETEvyS3sAUrSiBpJeHP92aCWbyrp8vbi/yStK+maGhd4g6TFJV0paVSj3qtrZnZH7Y6SdF2NMhwn6S2z6ec0SW+vr79Ur5sk6c/tnDtS0gWSJtTPtkot36HGKU6SdOWcfWMRERHRVRlADgxvqlvhTJQ0rpY9AnzE9trAjsAhjfPfD3wLWJUSSbhhzab+C/DfttcCtgBeBP4E7AIgaSVg0ZqZDTNzrCdK2rWWnQB83/aalNvqP+vKB5C0GvBjYPPa/n+3c9rRwF621wH2AY6o5T8FPlqv27qD+neXdJOkm2a8kD0UIyIieiK3sAeG9m5hLwQcVmcPZwArNY7dYPsBgLqP4wjKztT/tn0jgO1n6vHTgJ9I+i7wZcqekC2z3MKWNBxYwvYVteh4SnxhV2wOnGb7sdr+E82DdZPyDYDT6oQpQCsOcTxls/O/UqIW36Buln40wCJLr5i9qyIiInogA8iB69vAw8BalJnm6Y1jXY7/s/2CpIuBbYDP0nH8YV9bAHiqvWc9be8h6QPAJ4EJktax/fhc72FERMQgkQHkwDUceMD2a5J2ZvbRf3cBS0ta1/aNkhanzGy+ChwDnANcZfvJjiqw/bSkJyVtbPsqSnrMFR2d38alwDhJB9p+XNJbm7OQtp+RNFXSDrZPq89trml7kqSRtq8Hrpf0ceDdQIcDyIERZQiJM4yIiC5JlGF0wxHAzjU+cBXg+c5Otv0y5VnJQ+s1FwOL1mMTgGeA47rQ7s7AmBo5OAr4eVc6a3sK8Evgitr+ge2cthOwWz0+hTIrSm1vsqTbKDGHk9q5NiIiInpJogxjtiS9C7gcWMX2a/3cnR5LlGFERAwmiTKMuU7Sl4DrgR8NhMFjRERE9FyegYxO2T6BsjVPREREBJABZMwlkp6zPbST47sAo7uTbCPpGOBA27d3py8DJcqwPYk3jIiIuSEDyOhTkhasK7l7ne2vdNDmENsz+qLNiIiIyDOQ0Q1towYljZW0feP4c/X3pjVq8Gzg9jZ1nCBp28b7kyS1VlO/q0YV3iPpfxvnHFlTZKZI2q9Rfrmk0a22Jf2urtBev0++gIiIiAAygIwu6mLUYNPalFjEldqUN6MRh1PSZVr3k0dRthJagxKT+O5a/qO6emxN4EOS1mynvTcD19tey/bV7fQ/UYYRERG9JAPI6KpOowbbcYPtqW0La8zhipKWBD4PnN64xX2J7adtT6fMXL6nln9W0s3ALcBqlAzvtmYAp3fUGdtH2x5te/SQxYbPpusRERHRmTwDGT3xKvUfIZIWABZuHOts4/ITgP8CPgfs2ih/Q8SipOWBfYB1bT8paSx1g/M2pue5x4iIiLkjA8joqjdEDQLTKNnYfwW2BhbqYl1jgRuA/3RhBfUwymD0aUlLAR+nbGo+xwZOlGF7cns+IiLa6IMowwwgo0tsT5HUihqcQbmd/H3grLpw5QJmE5fYqOthSXcAZ3bh3EmSbgHuBP4FjJ/TzxARERG9I1GGMddJWgyYDKxte65PmSXKMCIiBpNEGcZ8T9IWwB3Aof0xeIyIiIieyy3smKts/4OZq6sjIiJiPpQBZMxVkjYF9rG9VTvHplHiDB+TdI3tDfqiDwM5yhASZxgREX0vt7BjntRXg8eIiIjouQwgo8skfVfS3vX1QZIura83r5GEW0q6VtLNkk6TNLQe/5ikO+tm4J9u1Pc2SRfViMJjADWONWMRL5f0t1rHSZJUj32ilk2QdIikc+fetxERETF4ZQAZ3XEVsHF9PRoYKmmhWnYrJepwC9trAzcB35G0KPBH4FOUPSPf2ajvZ8DVtlcDxgHLddDu+4FvURJoVgA2rPX+Afi47XWAJTvreKIMIyIiek8GkNEdE4B1JA2jpMZcSxlIbgy8SBngjZc0EdiZslhmFWCq7Xtc9ow6sVHfJq33ts8Dnuyg3RtsP2D7NWAiMKLWe38jLvGUzjqeKMOIiIjek0U00WW2X5E0FdgFuIYy67gZ8F5gKnCx7c83r5E0qheafkPEYS/UGREREXMo/yOO7rqKkk39Zcpm4AdSZiavAw6X9F7b90p6M7AMJUFmhKSRtu8DmgPMK4EvAPtL+jjwlm704y5gBUkjbE8DduzqhQM7yhASZxgREbPogyjD3MKO7roKWBq41vbDwHTgKtuPUmYmT5F0K+X29iq2pwO7A+fVRTSPNOraD9hE0hTK4pp/drUTtl8E9gQukDQBeJaMnCIiIuaKRBnGfEvSUNvP1VXZhwP32D5odtclyjAiIgaTRBlGzOqrdcHOFGA4ZVV2RERE9LEMIKNHJI2QdFs3zj9f0hL1Z8829Xyh8X60pEM6q8v2QbZH2V7V9k62X5izTxERERHdkUU0MVfZ/gSUASPlGcYj6qERlAU1J9fzbqLsJdnrBnqUISTOMCIi+lYGkNFrJK0AnE4ZBK4PLAaMBMbZ/l49Zxpl78gDgJH1FvTFlL0k31ffHw/cQs3MlrQvZZPxFerv39s+pNb3E+C/gEeBfwETbP92rnzgiIiIQSoDyOgVklYGTqWsxH4/MKr+fgm4S9Khtv/VuOQHwOq2R9XrN6UOGBvvm1ah7Dm5eK3vyNrGZ4C1gIWAmylbCkVEREQfyjOQ0RuWBM4CdrI9qZZdYvvpuo3P7ZRUmp44z/ZLth+jbAW0FLAhcJbt6bafBc7p6OJEGUZERPSeDCCjNzxN2cNxo0ZZb6fH9Ki+RBlGRET0ngwgoze8DGwHfKm5kno2nqXcju7ofVeMBz4laVFJQ4Gtunl9REREzIE8Axm9wvbzkraiLIj5cxfOf1zS+LoF0N+B/wFmSJoEjKUsopldHTdKOpuSyf0wJVpxtvenB36UISSUJyIiXtcHUYZJoon5WiONZjFKtvbutm/u7Jok0URExGDSF0k0mYGM+d3RklYFFgWOn93gMSIiInouA8iYr9nOjtkRERFzWRbRRKckvU3SxPrzH0kPNt4vPAf1DZN0f910HEkLS5oiaXR9/9P6/lZJt0hat7c/U0RERPRMZiCjU7Yfp2zYTU2Eea4nSS+2n5H0Y+BQ4JPA94HLbd8kaWNgS+D9tl+WtCR98Hd0MEQZtiTSMCIi+kJmIGOOSPqhpD3r60MlXVRfbynp+Pr6vyRNlnSbpF+1rrV9MrCopO8CuwE/qoeWBh61/XI971Hb/651rSvpCkkTJP1d0lKSFqrvN6rnjJG031z6CiIiIgatDCBjTl1Fya8GWBtYQtKQWnalpGWB/Snxg+8HNqzb/LTsDfwvsJ/tp2rZBZR87LskHV5nJJG0CHAw8Bnb6wAnAr+w/QqwK2UhzZa1rf377iNHREQE5BZ2zLkbgXUlLQE8B9xLGUhuTNkH8gPApTV6EEknA5sA59brPw78G1i9VWG9vd2qYzPgb5L2oezvuBrwD0kAQ4AH6jW3SjqVEqX4gTqofANJuwO7AwwZtmQvfQURERGDUwaQMUdsvyTpQeBLlESYu4EPA++xfbekNTq6ts5O7gmsB1wu6VjbU2q9rwKXAZdJuh3YEbgNuNX2xh1UuTpl5+x3dNLfo4GjARZZesVsfhoREdEDGUBGT1wF7EMZRN4DjAGuq8euB34r6W2Uwd3ngNbim4OBn9t+oD4HeTiwqaT3Aa/YvreeNwr4P+B2YBlJ69m+oa7+XtH2FEk7AkOBTYGzJK1r+5nOOj04kmhakkgTETHo9UESTZ6BjJ64ClgKuM72g8ArtQzbDwA/AS4HJtZzzpP08XrN8fW8ccALknaiDAT/XLfxmQy8lzLQfAnYHjhQ0q2UmMMPSHoH8AvgK7bvBP4AHDR3PnpERMTglSjDGHQSZRgREYNJX0QZZgYyIiIiIrolA8iIiIiI6JYMICtJz/Xg2mmS3t7J8U0lndvR8ZhJ0uWtWMM25btIOqy+3rdu7xMRERH9IKuwByBJC9btcKIdiTKMiIjomcxAdkLSpyRdL+kWSf+QtFQtf5uki+pq4WMA1fKfS/pW4/pfSvrv+naYpPNqyspRkhao53y+Eff3m8a1z9XrJ0m6rtH2kpJOl3Rj/dmwlu8r6c+SxlNWMq8m6QZJEyXdKmnFet5Pah+ulnRKayZP0qjazq2Sxkl6Sy2/XNJval13N9JhhtTowBvrNV9r9P379TNNknRAo57R9fXbJU2rr98k6VRJd0gaB7ypUc+utc0bgA3b+fMZKenmxvsVm+8jIiKib2QA2bmrgQ/afj9wKvC9Wv4z4GrbqwHjgOVq+bGUPRGpA8TPUWL3oGyavRewKjAS+LSkdwG/ATan7Hm4rqRt6/lvpmx9sxZwJfDVWn4wcJDtdYHPAMc0+rsqsIXtzwN7AAfbHgWMBh6Q1LpmLUoSTPNW8QnA922vSUl++Vnj2IK21wO+1SjfDXi69mNd4KuSlq/b9GxDSYVZixJX2JmvAy/Yfl+te536/S0N7EcZOG5UP9ssbN8HPC1pVC3aFThuNu1FRERED+UWdueWBf5SBzMLA1Nr+SbApwHq3oZP1tfTJD0u6f2UvQ5vsf14jd+7wfb9AJJOoQyKXgEut/1oLT+p1n0m8DIzY/8mAB+pr7cAVq11QpnZHFpfn237xfr6WuBHNfXlDNv31NnKs2xPB6ZLOqe2OxxYwvYV9drjgdMa38MZjX6MqK+3BNaUtH19PxxYsfbvONsv1O/kiU6/4fJ5D6nn3lr3eYQShdj8bv4CrNTO9ccAu0r6DiW1Zr32GlGiDCMiInpNZiA7dyhwmO01gK8Bi3bhmmOAXSizYcc2yttuuDm7DThf8cxNOmcwc7C/AGVWdFT9WcZ2awHQ869Xbp8MbA28CJwvafMu9L0jL7XTDwF7NfqxvO2LOqnjVWb+fevK99hVp1NmU7cCJth+vL2TbB9te7Tt0UMWG96LzUdERAw+mYHs3HDgwfp650b5lcAXgP3rLdu3NI6NA34OLFTPaVlP0vKUaL4dKbnMNwCH1BXcTwKfpwxaO3MR5Vb4GCjPLtqe2PYkSSsA99s+RNJywJqUzOo/SPo15c9+K+Bo209LelLSxravAr4IXNG2zjYuBL4u6VLbr0haifJdXQz8VNJJtl+Q9NY6CzmNcnv6BkqqTEvru7xU0uq1n1CiEA9WiUJ8BtgBmNS2E7anS7oQOJJyW322EmUYERGDSh9EGWYAOdNikh5ovD8Q2Bc4rd6ivhRYvh7bDzhF0hTgGuCfrYtsvyzpMuAp2zMa9d0IHEaJ57sMGGf7NUk/qO8FnGf7rNn0c2/g8Hqrd0HKAGyPds77LPBFSa8A/wF+ZfsJSWcDtwIPU551bI0wdgaOkrQYcD9lBrUzx1BuZ9+scj/9UWBb2xfUZxJvkvQycD7wP5Qc7L/WW8nNJdBHAsdJugO4g3KbHNv/lrQv5Vb8U5Q4xI6cBGxHGVxHREREH0uUYS+ri2duBnawfU9/96ctSUNtP1cHilcCu9uer1cu15Xkw23/pCvnJ8owIiIGE/VBlGFmIHuRpFUpC1/GzYuDx+ro2s9FgeMHwOBxHGVVe0+e8YyIiIhuyACyF9m+HVihv/vRGdsDamdp29v1dx8iIiIGm6zCHkQkzagbi0+SdLOkDWZz/ghJt3WzjWl1E/GJ9fc2Pet1REREzGsyAzm4vFg3FkfSR4FfAx/qg3Y2s/2YpJUpC1tmtzBorkqUYURERM9kBnLwGkbZOghJQyVdUmcl284aLijppBo1+DdJi0naXNKZrRMkfaQ+i9hZG7PMZkrap66ybsUcHiTpptrOupLOkHSPpP0b19/Zti/12AGSbleJVPxtL39PERER0UZmIAeXN0maSFlAszQzF55MB7az/Uzdk/K6ut0PwMrAbrbHSzoW2BP4HXCEpCVrUkzbTdMvq1v7rEDZTqgrXrY9WiU7/CzKnpFPAPdJOqijvkg6jrKFzyq2LWmJ9ipPEk1ERETvyQzk4PJiTY1ZBfgYcEId6An4Vd1b8h/AMpQoRoB/2R5fX58IbFQTcv4M/FcdsK0P/L3Rzma2VwfWAA5rRC12pjVgnQxMsf1v2y9R9qR8d0d9oexjOR34k6RPAy+0V3mSaCIiInpPZiAHKdvX1tnGJYFP1N/r1FSZacyMG+wogvE44BzK4O0026+208Z9kh4GVgUeYtZ/sLSNM2zFJb7WeN163/p7+oa+2H5V0nrAhykJN98kW/pERET0qQwgBylJqwBDgMcpkY2P1MHjZsB7GqcuJ2l929dSIgevBrD9kKSHgB8DW3TQxjso6T3/R7kd/Y4aTfgcJUbxgm52+w19qbObi9k+X9J4yoxlpxJlGBERg0qiDKOHWs9AQrltvbPtGZJOAs6RNBm4Cbizcc1dwDfqM4e3U6IHW04ClrR9R5t2LpM0g5IH/gPbDwNI+jklC/vBNm10VXt9GQ6cJWnR+pm+Mwf1RkRERDckyjDmmKTDgFts/2kutDUCOLc+W9kjiTKMiIjBJFGGMc+QNAF4Hvh//d2XiIiImLsygIw5YnududzeNKDHs48RERHRc9nGJ+ZLksZK2r6/+xERETEYZQYy5nmSFmxvm6A5NZiiDCFxhhER0fsyAzlI1WjAOyT9UdIUSRdJepOkr0q6UdIkSac34gLHSjpS0nWS7pe0qaRjax1jG/VuKenaGot4WmsTcUnTJO3XiEtcpZa/udZzg6RbWjGKknaRdLakS4FLVBwm6S5J/wDe0WgzUYYRERFzUQaQg9uKwOG2VwOeAj4DnGF7XdtrAXcAuzXOfwsldebblOSYg4DVgDUkjaobk/8Y2ML22pQtgZrb6jxWy48E9qllPwIutb0esBkwRtKb67G1ge1tf4gSV7gyZVPyLwEbANR9JbcDVrO9JrB/ex9U0u41a/umGS9kb8SIiIieyC3swW2q7da+kBOAEcDqkvYHlgCGAhc2zj+n5k1PBh62PRlA0pR67bKUAd74kpDIwsC1jevPaLT16fp6S2BrSa0B5aLAcvX1xbafqK83AU6xPQN4qM5MwqxRhucC57b3QW0fDRwNsMjSK2bvqoiIiB7IAHJwa0YGzgDeBIwFtrU9SdIuwKbtnN9R3OAMyqDv87NpbwYz/+4J+Iztu5onSvoAZZugTiXKMCIiYu7LADLaWhz4t6SFgJ0oqTFddR1wuKT32r633opexvbdnVxzIbCXpL3q7Ob7bd/SznlXAl+TdDzl+cfNgJMTZdgVuWUfETGoJcow5oKfANcDj9bfi3f1QtuP1lnLUyQtUot/DHQ2gPwF8HvgVkkLAFMpOdltjaPMLN4O/JOZt8YXJ1GGERERc1WiDGPQSZRhREQMJn0RZZhV2BERERHRLRlARkRERES35BnIeYikGcDkRtG2NQO6X0gaByxP2c5nScrziQB7AicDo20/1oftXw7sY/umNuWjgHfZPn9O6h1sSTSQNJqIiOhdGUDOW160Paq/O9FiezsASZtSBnKvL26p+zz2l1HAaGCOBpARERHRM7mFPY+TNETSmBoveKukr9XyTSVdIemsGi14gKSdaiTgZEkj63k9iiCcjb3aiSZ8q6Qza1+vk7RmLd+3sVk4km6TNKK+/kmNKLxa0inN84Ad6me6W9LGkhYGfg7sKGmipB0lfai+nljjELu8cjwiIiK6LwPIecubGgOhcbVsN+Bp2+sC6wJflbR8PbYWsAfwPuCLwEo1EvAYYK9GvT2NIOxIe9GE+wG31FjB/wFO6KwCSetSIhTXAj5OmVlsWrB+pm8BP7P9MvBT4C+2R9n+S237G3X2dmPgxXbaSZRhREREL8kt7HlLe7ewtwTWlLR9fT+ckmH9MnCj7X8DSLoPuKieM5my0XZLTyMIO9JeNOFGlAEhti+V9DZJwzqpY0PgLNvTgemSzumkjREd1DEeOFDSSZQs7wfanpAow4iIiN6TAeS8T8Beti+cpbA8l9g2TrAZNdj8s+1pBGFH2osm7MirzDrjvWhvtWH7AEnnAZ+gDII/avvOLtYfERER3ZQB5LzvQuDrki61/YqklehevGBXzEkEYUeuokQg/qIOch+z/YykadSEGUlrU1Z3Q5k9/IOkX1P+Pm5FnSnsxLM0EnIkjayzqpPrLfFVgA4HkIMvyhASZxgRMYglynBQOoZy6/ZmlfvLjwLb9mYDcxhB2JF9gWMl3Qq8AOxcy08HvlRvm1/fqtv2jZLOBm4FHqbcfp/daOcy4AeSJgK/BjaStBllRnUK8Pc56HdERER0UaIMo99JGmr7OUmLAVcCu9u+ua/aS5RhREQMJn0RZZgZyJgXHC1pVcpzkcf35eAxIiIiei4DyOh3thOTEhERMR/JALKfSTqWsnDkEdur17IxwKcoW/XcB+xq+6l67IeUvSFnAHu3VmdL+hhwMDAEOMb2AbX8GOBA27d3s1+7UKIKvzkHn2kJ4Au2j+jNNuqinJdtX9PdPjUNxihDSJxhRET0nmwk3v/GAh9rU3YxsHrdjPtu4IcA9Tbv5yibgH8MOKIm1QwBDqdsxL0q8Pl6Lra/0t3BYy9YgpKX3ds2BTbog3ojIiKiGzKA7Ge2rwSeaFN2ke1X69vrKBt9A2wDnGr7JdtTgXuB9erPvbbvr0ktp9ZzkXS5pNF1oDm2RghOlvTtxvGDa/rNbZLWa9tHSUtKOr3GKd4oacNavm+NRby8xiTuXS85ABhZ6xwj6QRJ2zbqO6/i1+gAACAASURBVEnSNm3a+GSNUnx7e+3V2MM9gG/XejeWNELSpTU28RJJy83hH0NERER0Q25hz/u+DPylvl6GMqBseaCWAfyrTfkH2tQzirK3Y+s2+RKNY4vZHiVpE+BYYPU21x4MHGT76jpIu5ASnwhlz8XNKPsy3iXpSOAHlBnUUbWtD1FiFM+UNJwyi7gz8F/1+HaU6MRP2H5S0slt27P9PklHAc/Z/m297hzKopvjJX0ZOIQOtjiStDuwO8CQYUu2d0pERER0UQaQ8zBJP6IkuJzUC9XdD6wg6VDgPGbGHgKcAmU2VNKwNoNLgC2AVWvMIcAwSUPr6/NsvwS8JOkRYKm2Ddu+QtIRkpakxByebvvVWt/mlPzrLW0/04X2mtZnZoTin4H/7ejDJ8owIiKi92QAOY+qC0y2Aj7smZt1Pgi8u3HassxMpemoHIA6s7cW8FHKreDPUmY3AdoOqNq+XwD4YM2rbvYRZo1G7CzS8ATKjOPngF0b5fcBKwArAa3NGTtrLyIiIvpZBpDzoLqi+nvAh2y/0Dh0NnCypAOBdwErAjdQ8rJXlLQ8ZeD4OeALbep8O2UF8+mS7gJObBzeEbhM0kbA07afbjNYuwjYCxhT6xple2InH2GWqMFqbO3rf9os6vk/4LvAGZJ2sD2lk/aeBYY1rr2mftY/U+ITr+qkT68bnFGGkDjDiIhBqg+iDLOIpp9JOgW4FlhZ0gOSdgMOowzALq4LRo4CqIOrvwK3AxcA37A9oy64+Sbl2cQ7gL/Wc5uWAS6v8X8nUld2V9Ml3QIcRdkiqK29gdF1scrtlBnMDtl+HBhfF+WMqWUP174d1875d1IGgKdJGtlJe+cA27UW0VAGmbvW2MQvAv/dWb8iIiKidwzIKMM6k3Xa7MqirMIG9rHdp9l+NaZwMrC27X6dCkuUYUREDCZ9EWU4UGcgf9jFspgLJG1BmX08tL8HjxEREdFzA+oZSEkfBz4BLCPpkMahYZTVzNFQ921cinKr/Det9JouXjsWONf23+rt5KOAV4D1bb/YPNf2P4D3dFDPNEoazWNtyrcGVu1OnyIiImLuGFADSOAhykrerYEJjfJnKfsQxqz2BLaw/UAP69kJ+LXtE2d7ZhfZPpuyaKjXDdYow5ZEGkZERE8NqAGk7UnAJEknNZJcoh11Yc4KwN9V8rhH2v5mnVl8hrI34zuB79VZRgGHAh+hbFr+cq3nK5QtgT5aZ4C/BpwFvAVYCPix7bMkvZmyAGhZSl73L2y3NkjfS9Kn6vk72L5TjZzsmkJzLPB24FFKNvg/O+prn3xhERER8boB9QykpL/Wl7fUFbyz/PRr5+YxtvegzNhuBjzZ5vDSwEaUfShbt5C3A1amZG1/iZpJbfsYykzhd23vBEwHtrO9dq37d3Xw+THgIdtr1TScCxrtPVbPPxLYp53uHkpJnFmTsql68/GE9voaERERfWhAzUAycxuXrfq1F/O/M22/BtwuqZUsswlwiu0ZwEOSLu3gWgG/qrGIr1G2D1qKsgL7d5J+Q3l2srln4xn19wRmJss0dZY4015f39ipRBlGRET0mgE1gLT97/r7//q7L/O5ZrpMd3cf3QlYEljH9it1kcyitu+WtDZlkdP+ki6x/fM27XWWZNOjvibKMCIiovcMtFvYz0p6pqOf/u7ffO5KYEdJQyQtTbk93Z7hwCN18LgZdfW1pHcBL9SFNmOAtbvRditxBrqROBMRERF9Y6DNQC4OIOkXwL8ptztFGXQs3Y9dGwjGAZtTUnD+SUnPac9JwDmSJlNWxN9Zy9cAxkh6jbLdz9e70fZewHGSvktdRNP97s80eKMMW7IVZ0TEoNIHUYYDNYlmku21ZlcWg1OSaCIiYjBJEk3XPS9pp3q7dQFJOwHP93enIiIiIgaCgTqA/AJlb8KH688OtSwiIiIiemhAPQPZYnsasE1/92N+1Ywp7GE9uwAX2X6oN/oVERER84YBNYCUdCjQ4UOdtveei90J2AW4jbJh+TxjsEcZQuIMIyKiZwbaLeybKJtRL0rZJuae+jMKWLgf+9WvJI2QdIekP0qaIukiSW+SNFLSBZImSLpK0irtXPsLSWPr86QflnSLpMmSjpW0SD3np5JulHSbpKNVbE+JGDxJ0sTa3gGSbq/JQL+t146t57bae67+3lTSFZLOknR/vXYnSTfU9kfW85aUdHpt/0ZJG86N7zQiImIwG1ADSNvH2z4eWBPY1Pahtg8FPkwZRA5mKwKH214NeAr4DGVj7b1sr0OJEDyieYGkMZRNwXel5FSPBXa0vQZl9rq1Fc9httetEYVvAraqt79vAnayPQpYjBKHuFqNJNy/C31eC9gDeB/wRWAl2+sBx1C29gE4GDjI9rr1Mx3TrW8lIiIium1ADSAb3gIMa7wfWssGs6m2J9bXE4ARlDzr0yRNBP7ArHtl/gQYbnsPl72eVq513F2PH0+JNwTYTNL1de/HzYHV2mn/aUpO9p8kfRp4oQt9vtH2v22/BNwHXFTLJ9f+A2wBHFY/w9nAMElD21YkaXdJN0m6acYL2QcxIiKiJwbUM5ANBwC3SLqMspH4JsC+/dqj/teM/JtByad+qs4OtudGYB1Jb7X9REeVSlqUMnM52va/JO1LeYRgFrZflbQeZTZ4e+CblMHmq9R/yEhagFkfNWj2+bXG+9eY+Xd3AeCDtqd31MfafqIMIyIiesmAHEDaPk7S34EP1KLv2/5Pf/ZpHvQMMFXSDrZPkyRgTduT6vELgAuB8yRtCdwFjJD0Xtv3Um4pX8HMweJjdeZve6C1evtZoJUONBRYzPb5ksYD99dzpgHrAH8FtqbcKu+Oiyi3s8fUdkY1ZlrblSQaSBpNRMQg0gdJNAPyFnYdDG0BrGX7LGDhOvsVs9oJ2E3SJGAKbbY+sn0a8EfKrWFRnoU8rd6qfg04yvZT9ZzbKAPOGxtVjAWOqreXFwfOlXQrcDXwnXrOH4EP1T6sT/c3fN8bGF0X5txOeWYyIiIi+tBAjTI8kjLA2dz2+yS9hbIf4br93LWYByTKMCIiBpO+iDIckLewgQ/YXlvSLQC2n5Q0aLfxiYiIiOhNA/IWNvCKpCHUTcUlLUmZkYyIiIiIHhqoA8hDgHHAOyT9kvLM3a/6t0tzV93o+xFJtzXKxki6sz4vOE7SEo1jP5R0r6S7JH20Uf6xWnavpB80yo+RtOoc9GsXSYfN4WdaQtKec3JtRERE9J4B+QwkQE1V+TBl8ccltu/o5y7NVZI2AZ4DTqgbfFNXU19at9T5DYDt79eB4CnAesC7gH8AK9Wq7gY+AjxAWSDzedu396Bfu1C2/PnmHFw7gpLRvfqctg9lG5+ld/59T6oYcBJtGBExcGm/Z3r9GcgBNwNZI/futH2n7cNtHzbYBo8Atq8EnmhTdpHtV+vb64Bl6+ttgFNtv2R7KnAvZTC5HnCv7fttvwycWs9F0uWSRtfve2yNMZws6duN4wfXGMPb2lsF31EMoaR96wzq5TXGsJVhfgAwstY5RtIJkrZt1HeSpG3athMRERG9a8AtorE9o95yXc72P/u7P/OwLwN/qa+XoQwoWx6oZQD/alP+AWY1ClimMcu5ROPYYrZH1dnQY4G2M4etGMKrJS1H2QboffXYKsBmlO1/7qor638ArN7a/FzSh4BvA2dKGk5J1tm5i58/IiIi5tCAG0BWbwGmSLqBxr6Ctrfuvy7NOyT9iJIAc1IvVHc/sIKkQ4HzmBk3COW2OLavlDSszeASyl6dq5ZtO4FZYwjPqxGGL0l6hJKcMwvbV0g6oi6S+gxwemOGdRaSdgd2BxgybMk5+ZwRERFRDdQB5E/6uwPzqvoM4lbAhz3zAdgHgXc3Tlu2ltFJOfD6FklrAR+lbOL9WcrsJtRV8M3T27xvN4awDijbRi929Hf1BOC/gM9RNjpvV6IMIyIies+AHEDWmal3Up7hM3BjogzLimrge8CHbL/QOHQ2cLKkAymLaFYEbqAsQFpR0vKUgePngC+0qfPtwMu2T5d0F3Bi4/COwGWSNgKetv10Y7YRuh9D+Ho0YsPY2tf/dHVxT6IM25Now4iIAStRhl0j6SuUQcWnKdnM10n6cudXDSySTgGuBVaW9ICk3YDDKAOwi+tClKMAbE+hZFHfTsnA/obtGfV28DcpzybeAfy1ntu0DHB5jSs8Efhh49j0upn7UcBu7XSzWzGEth8HxtdFOWNq2cO1b8d17ZuJiIiInhqQ2/jUmbAN6oADSW8DrrG9cv/2bPCQdDmwj+0+zQyUtBgwGVjbdpem0RJlGBERg0lfRBkOyBlI4HHK7c6WZ2tZDCCStqDMPh7a1cFjRERE9NyAegZS0nfqy3uB6yWdRXkGchvg1n7r2CBke9O50MY/gPf0dTsRERExq4E2A7l4/bkPOJOZq37PAqb2V6f6i6QRzSjDLpz/esxg3cx7n9mcv20zzlDSz+usYL9obW7eX+1HREQMFgNqBtL2fv3dh0FmW+BcyuIbbP+0NyqVtGBH+zn2hskPPs2IH5zXV9XP1xJpGBERXTHQZiABkHSZpEvb/vR3v/rJgjXi7w5Jf5O0mKRpdfsdahzh5Z1VIGmkpAskTZB0laRVJG0AbA2MqSu6R9ZIw+3rNR+WdEuNNzxW0iK1vN2264znnyWNB/5cZ0PPqO3eI+l/G/05UtJNkqZIyj8aIiIi5rIBNQPZ0Lz1uiglpaTPZrTmcSsDu9keL+lYYM85qONoYA/b90j6AHCE7c0lnQ2ca/tv8PoG4EhalLI/44dt3y3pBODrwO9n086qwEa2X6wbno8C3k/ZVPwuSYfa/hfwI9tPSBoCXCJpTdt5xjUiImIuGZADSNsT2hSNr7GGg9G/bI+vr0+k7L3YZTVacAPgtMYm4IvM5rKVgam2767vjwe+wewHkGfbfrHx/pLW6uq6T+R7KNncn63RhAsCS1MGnp0OIBNlGBER0XsG5ABS0lsbbxcARgPD+6k7/a29OMFXmfn4wqKzuX4B4Cnbo3qpP521/Xyb92+IM6ypOPsA69YYxbHt1PMGiTKMiIjoPQNyAAlMYObA6VVgGu0noQwGy0la3/a1lBjCqykr1dcB/k65vd8h289ImippB9unqUxDrml7Eu1HCwLcBYyQ9F7b9wJfBK6ox6Z1te0ODKMMNJ+WtBTwceDy7lSQKMPOZDvNiIgBJ1GGnZO0rqR32l7e9grAfsCd9adLOckD0F3ANyTdAbwFOJLyvRws6SbKzN7s7ATsJmkSMIWyrybAqcB362KZkbXMtqcDu1Jue08GXqPEGTIHbc+iDlxvofyZngyM7/yKiIiI6G0DKspQ0s3AFnWBxSaUAc5elMUY77O9fb92cICTdA5woO3L+rsvnUmUYUREDCZ9EWU40G5hD7H9RH29I3C07dOB0yVN7Md+DXh1hfdilFvkERERMYANuAFkYxPqD1NX3VYD7bPOU2x/ub/7EBEREXPHQBtUnQJcIekx4EXgKgBJ7yWrA+YrkvYAXrB9Qn/3JSIiImY1oJ6BBJD0QcregBfZfr6WrQQMtX1zv3Yu5gmLLL2il955dltSRmINIyIGBu33TK8/AzmgVmED2L7O9rjW4LGW3Z3BY9+T9GZJ50maJOk2STtKWkfSFTUG8UJJS0t6h6QJ9Zq1JFnScvX9fTVucV9J+9SyyyX9RtINku6WtHEtX0zSXyXdLmmcpOsl9ep/IBEREfFGA+0WdvSvjwEP2f4kgKThlP0et7H9qKQdgV/a/rKkRSUNAzYGbgI2lnQ18IjtFxqpNy0L2l5P0ieAnwFbUGIZn7S9qqTVgQ4XSiWJJiIiovdkABm9aTLwO0m/Ac4FngRWBy6uA8IhwL/rudcAGwKbAL+iDD5FfW61HWfU3xOAEfX1RsDBALZvk9RhnGGSaCIiInpPBpDRa2zfLWlt4BPA/sClwBTb67dz+pWU2cf3AGcB36ekB53XQfWtWMMZ5O9tREREv8r/iKPXSHoX8ITtEyU9RbnFvGQrSlHSQsBKtqdQZhp/CVxp+zVJT1AGnj/sRpPjgc8Cl0laFVijKxclyrCrsnFBRMSA0AdRhhlARm9aAxgj6TXgFeDrlCzyQ+rzkAsCv6fMSk6rudpX1muvBpa1/WQ32jsCOF7S7ZRowylk1BMREdHnBtw2PjF4SBoCLGR7es3i/gewsu2XO7suUYYRETGYJMowYlaLUW5fL0RZgLPn7AaPERER0XMZQMZ8y/azQPZ9jIiImMsG3Ebi8UaSNpW0QQ/reK7+HiHptp7U0U75zyVt0ZP+RURExNyTGcjBYVPgOcrei/Mc2z+dm+1NfvBpRvygo92CoilxhhER0Z7MQM7HJJ1ZIwKn1KQVJH1M0s01TvASSSOAPYBvS5ooaWNJYyVt36inNbs4tF5zs6TJkraZTftDJI2RdKOkWyV9rZYvLenK2t5trejBeuyg2t9LJC1Zy17vj6Sf1vpuk3R0XandWZzharVsYu3Dir33DUdERER7MoCcv33Z9jqU5wD3lrQU8EfgM7bXAnawPQ04CjjI9ijbHSW9AEwHtrO9NrAZJVWms82jdgOetr0usC7wVUnLA18ALrQ9CliLmRGDbwZusr0acAUlkrCtw2yva3t14E3AVo1jC9peD/hW49o9gINrW6OBB9rrqKTdJd0k6aYZL2Snn4iIiJ7ILez5296Stquv303Jer7S9lQA2090sz4Bv5K0CfAasAywFPCfDs7fElizMZs5HFgRuBE4tq6OPtN2awD5GvCX+vpEZsYTNm0m6XuUFdZvpezteE491l6c4bXAjyQtC5xh+572Opoow4iIiN6TGcj5lKRNgS2A9ets4y3MnOmbnVepf/aSFgAWruU7AUsC69QZvYeBRTvrBrBXndkcZXt52xfZvpKScf0gMFbSlzq4fpaBnKRFKZuDb297DcpsarP9N8QZ2j4Z2Bp4EThf0uaz/fQRERHRI5mBnH8NB560/YKkVYAPUgZbm0ha3vZUSW+ts5DPAsMa104D1gH+Shl8LdSo8xHbr0jajJJT3ZkLga9LurResxJl0Ph24AHbf5S0CLA2cAJl0Lo9cCrlNvfVbeprDRYfkzS0nvu3zjogaQXgftuHSFoOWJOSwd2hRBl2R273R0TM9xJlGA0XAHtIugO4C7gOeJRyG/uMOrP4CPARyi3gv9VFMXtRZvbOkjSp1vN8rfMk4BxJk4GbKPGAnTmGciv55vqs5KPAtpRV39+V9Apl9XdrBvJ5YD1JP65927FZme2nJP0RuI1y2/zGLnwPnwW+WNv6D/CrLlwTERERPZAowxh0EmUYERGDSV9EGeYZyIiIiIjolgwgIyIiIqJb8gxkzBMkPWd7aOP9LsBo29/s5JqtgVVtH9CdtpJE03NJqImIGNwygIz5lu2zgbPblkta0Par/dCliIiIQSG3sGOeJ+lTkq6XdIukf9TEHSTtIumw+nqspKMkXQ/8b792OCIiYoDLDGTMK94kqbkR+luZObt4NfBB25b0FeB7wP9rp45lgQ1sz2h7oGaF7w4wZNiSvdrxiIiIwSYDyJhXvFjTb4CZz0DWt8sCf5G0NCU1Z2oHdZzW3uAREmUYERHRm3ILO+YHhwKH1XjDr9FxvOLzHZT/f/buPMqPqk7/+PsxIouBIMLwQ1yQXdYAgZFN2UQcUERlMKIQRBFlxGVAUVBRR0SYAWWVZUhAETBCWFxYZA0QIAtZ2ALKIoiKMGxhJzy/P+79kqLpTrrT3+5O0s/rnJz+fm/dulXV5Bw+uVV1n4iIiGijzEDGwmAYJSIRYO/eDpYow3ZIxGFExEKjD6IMMwMZC4PDgbGSJgOPDvC5REREDHqJMoxBJ1GGERExmCTKMCIiIiIGXArIiIiIiOiRvEQTCwVJ5wDrAqOBx4HLbT88P2MlyrD3EmUYETG4pYCMBcLc4gcl/T9gU9ur1+/XALcB81VARkRERO+kgIx+I2kv4CDAwHRgNvA8sBFwg6RzgZ9R1nl8DtjH9kzgcmDlmlRzPmWB8bMlPQdsDnwP+AjwMmVm8qB+vbCIiIhBJgVk9AtJ6wKHUaIGH5W0HHAMjfhBScsAW9t+WdIOwBHAxynF4W9bSTWStgcOsj1J0luB3YC1a9Thsl0cP1GGERERbZICMvrLdpSowUcBbP+fJHht/OAw4ExJa1BmKRfrxrhPUmYx/1fSb4HfdtYpUYYRERHtk7ewY6A14wd/CFxtez3gw3QdWfiq+tzkZsBvgF2AS/viJCMiImKOzEBGf7kKGCfpGNuP1VvYHTUjC0fNZayngaUBJA0FlrL9e0k3APfO60QSZdgOiTKMiFho9EGUYQrI6Be2b5f0I+BaSbOBWzvpdhTlFvZhwNzW2RkD/Ly+RPMh4CJJSwACvt7eM4+IiIiOEmUYg06iDCMiYjBJlGFEREREDLgUkAsJSbN62P9wSXNdD1HSNZK6/S8SSdvUN53n1meMpE90d8yIiIhY+OQZyFioSRrSWAaoWxJl2DcSbxgRMXhkBnIhI2mopCslTZE0Q9KujW2HSrpb0vXAWrVtNUlTGn3WaH5vtJ8saZKk2yV9v9G+k6S76j4fq21vkHSPpBUa3//U+g7sUMe6W9Iutc8SkkbXc75V0ra1fZSkCyRdWsc8qnHsHSVNqNc6tr5xjaT7Jf2kntPukg6UdIek6TXNJiIiIvpQZiAXPs8Du9l+StLywE2SLgY2Bj4JDKf8d50CTLb9Z0lPShpueyqwDzC6k3EPrYt7DwGulLQBcDdwGmUR8D8B5wHYfkXSL4E9gZ8COwDTbP+zLg6+CmVtxtWAqyWtDhxQdvX6ktYGLpe0Zj32cEqc4QvATEnHU6IMDwN2sP2MpG9S3rD+Qd3nMdsbA0h6GHi37Re6SqKJiIiI9skM5MJHwBGSpgN/BFYGVgS2BsbZftb2U8DFjX1OB/apxeEewK86Gfff64zercC6wDrA2sB9tu9xeV3/l43+ZwB71c+f5bVF6a9tv2L7Hsq6jGsDW7X2t30X8ADQKiCvtP2k7eeBO4B3Ae+t53BDzcDeu7a3nNf4PJ2Sjf1pSh72639p0n51VnTS7GezhmFERERvZAZy4bMnsAKwie2XJN3PvBNbzge+R1nMe7Ltx5obJb0bOAjY1PbjksbMa0zbD0r6h6TtKLONezY3d+w+j/N7ofF5NuXvpYArbI/sYp9mgs3OwPso6TWHSlq/JtQ0zzdRhhEREW2SGciFzzDgkVo8bsucWbnrgI9KWlLS0pRiCoA6s3cZcDKd375ehlKQPSlpRcri3AB3AatIWq1+71jMnU6ZVRzb4UWW3etzkasBqwIzgfHUIrPeun5nbe/KTcCW9fY3kt7cuOX9KklvAN5h+2rgm/X3M3Qu40ZEREQvZQZy4XM2cImkGcAkSpGH7SmSzgOmAY8AEzvZbzfg8o4D2p4m6dY61oPADbX9eUn7Ab+T9CylCFy6sevFlIK0Y1H6F+AWSmG6fx3nJODket4vA6PqM4udXmR9nnIUcI6kxWvzYZTnMpuGAL+UNIwya3mc7Sc6HbRKlGFfyaMBERELpD6IMkwSzSBR14QcZvs7bRxzBHCs7a3bNWZ/SBJNREQMJn2RRJMZyEFA0jjKG9HbtXHMQ4Av8tpnHyMiImIQSAE5CNjerQ/GPBI4st3jRkRExIIvL9HEQkfSKpISexIRETFAMgMZC6NVgE/R+XqW85Qow76RKMOIiMEjM5Ax3+pM4J2STqsRiJfXZYRWq9GEkyWNr8kzrf5X1cjBKyW9s7aPkfTzTuIPh0g6WtLEus8X6qGPBLaWNFXS1yStK+mW+n26pDUG5jcSERExOKSAjN5aAzjR9rrAE8DHKQt2f9n2JpQFyk+qfY8HzrS9AWVZoeMa46xCWZB8Z+DnkpYA9gWetL0psCnw+bro+SHAeNvDbR8L7A/8zPZwYATwUF9ecERExGCXW9jRW/fVjG2AyZRCcAtgbGONx9Y6jpsDH6uffwEc1Rjn17ZfAe6R1Io/3BHYQNInap9hlIL1xQ7nMIGSQPN24IIaofgadT3L/QCGLLPCfFxmREREtKSAjN7qGEO4IvBEnQ3sic7iD0WZybysuUHSNq/paP9K0s2U2cvfS/qC7as69EmUYURERJukgIx2ewq4T9LutseqTENuYHsacCPwScrs456UZJuW3SWdCbybOfGHlwFflHRVjW5cE/gr8DSNRBxJqwL32j6uPle5ASX3u1NJoukrSaKJiFgg9UESTQrI6At7UmILDwMWA86lRCx+GRgt6WDgn8A+jX06iz88nXJLfEotRP8JfBSYDsyWNA0YQ7lF/hlJLwF/B47o8yuMiIgYxBJlGANO0hjgt7Z/0x/HS5RhREQMJn0RZZi3sCMiIiKiR3ILOwac7VEDfQ4RERHRfZmBHGQkzerFvvdLWn4u21eR9Fxd0HuapBslrTW/x4uIiIgFU2Ygo93+3FrCpybHfBvYu68OJmmI7dk92SdRhn0rkYYREYu+zEAGkj4s6WZJt0r6o6QVa/tbazzh7fWNaNX2H0j6amP/H0n6SidDLwM8XvssIWm0pBn1ONvW9lGSLqjRh/dIOqox7o6SJkiaImmspKG1/X5JP5E0hbL8z4GS7qgxhuf21e8pIiIiisxABsD1wHttW9LngG8A/wl8D7je9g8k7UyJFgQ4A7gA+KmkN1DWdtyMsjbjapKm1s9LAf9a9zkAsO31azb25XVdR4DhwEaURclnSjoeeA44DNjB9jOSvgl8HfhB3ecx2xsDSHoYeLftFyQt2/5fT0RERDSlgAyAtwPnSVoJeBNwX21/HzV60PbvJD1eP98v6TFJG1GSZ261/ZikpXntLew9KOkvOwFbUbKwsX2XpAeAVgF5pe0n6z53AO8ClgXWAW6okYhvokQWtpzX+DwdOFvShcCFnV1gogwjIiLaJ7ewA0ph8eTrmAAAIABJREFUd4Lt9YEvAEt0Y5/TgVGUxcDP6KLPxZQidF46xiG+kXK7/Arbw+ufdWzv2+j3TOPzzsCJwMbAREmv+4eR7VNtj7A9YshSw7pxShEREdGVzEAGwDBKRCC89oWX64BPAf8l6UPAWxrbxlFuJy9W+3RmK+DP9fN4SkLNVfXW9TspcYUbd7HvTcCJkla3/SdJbwZWtn13s1O9hf4O21dLup5yO30o8ERXF5sow76WSMOIiAVKogyjDZaS9FDj+zHA4cDYeov6KkoeNcD3gXMk3U7Jsf5LayfbL0q6Gniiw1vQrWcgBbwIfK62n0SJN5wBvAyMqs8sdnqStv8paVQ9/uK1+TDg7g5dhwC/lDSsHvM4210WjxEREdF7iTKM+VJn/qYAu9u+Z6DPpycSZRgREYNJogxjgSBpHeBPlJdfFqriMSIiInovt7Cjx2zfAaw60OcRERERAyMzkBERERHRI5mBjEEnUYZ9L3GGERGLtsxARltIOljSgfXzsZKuqp+3k3S2pJE1xvA2ST9p7DdL0tE1LvGPkjaTdI2keyV9pPYZUvtMrHGFX6jt29S+v5F0Vz1O+9cqiIiIiNdIARntMh7Yun4eAQyVtFhtuxv4CbAdJbZwU0kfrX3fDFxle13gaeC/gA8AuzEntnBf4EnbmwKbAp+X1FpqaCPgq5TUmlWBLTs7OUn7SZokadLsZ7NOYURERG+kgIx2mQxsImkZSrLMBEohuTVlUe9rbP/T9svA2cxJqHkRuLR+ngFca/ul+nmV2r4jsFddX/Jm4K3AGnXbLbYfsv0KMLWxz2skiSYiIqJ98gxktIXtlyTdR4k3vJGST70tsDpwP7BJF7u+5DmLkb5CjTW0/UojklDAl21f1txR0jZ0HoMYERERfSj/s412Gg8cBHyWMoN4DGVm8hbgOEnLA48DIyn52911GfBFSVfVQnVN5kQv9liiDPtDHhOIiFhg9EGUYW5hRzuNB1YCJtj+B/A8MN7234BDgKuBacBk2xf1YNzTgTuAKZJuA04h//iJiIgYMIkyjEEnUYYRETGYJMowIiIiIgZcCsiIiIiI6JEUkANA0qF14ezpkqZK+ldJ99eXTDr2vXEgzrFx/OGSLGmnufQ5XNJBnbSvUp9ZRNIIScfN41jf7vB9QK89IiIiOpcXEfqZpM2BXYCNbb9Qi8Y3ddXf9hZ9eC5vrOsyzs1I4Pr689J59O2S7UnAvB48/DZwRGOfPrn2RBn2n0QaRkQsmjID2f9WAh613Vrv8FHbD7c2SlpS0h8kfb5+n1V/dhnbJ2lTSTdKmibpFklL19m/8ZKm1D9bNMYZL+liypvNSPp03W+qpFMkDantAnanrO34AUlLNM7zUEl3S7oeWKvRvkk9j2nAAY32bST9tn4eKml0jTacLunjko4ElqzncHaHa1eNMryt7rPHvH4nERER0XdSQPa/y4F31OLrJEnvb2wbClwCnGP7tE72fV1sn6Q3AecBX7G9IbAD8BzwCPAB2xsDewDN28cb1/5rSnpP3b6l7eGUxbj3rP22AO6z/WfgGmBnKEUi8ElKLOG/UeIFW0ZTFv3ecC6/g+9QognXt70BJcrwEOA528Nt79mh/8fqsVrXd7Sklbr6nXR2wEQZRkREtE8KyH5mexYllWU/4J/AeZJG1c0XAaNtn9XF7p3F9q0F/M32xDr+U/W29GLAaZJmAGMpBVZznPvq5+3r+UysUYHbUwoxKLetz62fz63focQTjrP9rO2ngIsBJC0LLGv7utrvF11cxw7AiY3fyeNd9GvZilJUz67rS17LnKI1UYYRERH9LM9ADgDbsykzetfUAm/vuukGYCdJv2rE+zX1JLbva8A/KLN2b6As6t3yTOOzgDNtf6u5c72N/XFgV0mH1n5vlbT0PC6vvyXKMCIiop/lf7b9TNJawCu276lNw4EHgPWB79Y/JwJf6uaQM4GVJG1qe2It8J4DhgEP1UzpvYEhXex/JXCRpGNtPyJpOWBpyszmdNsfbJz7mcBuwHXAGEk/pvwd+jBwiu0nJD0haSvb1zPnVnhHV1Cej/xqHfctdRbyJUmL2X6pQ//xwBfq8ZcD3gccDKzdzd/RayTKsD/lcYGIiAGXKMNFwlDgTEl3SJpOubV8eGP7VygvkxzVncFsv0h5hvH4+uLKFcASwEnA3rVtbV4769jc/w7gMODyej5XUF70GQmM69D9fGCk7SmU5y6nAX8AJjb67AOcWG+Hd/U39r+At9SXYqYB29b2U4HprZdoGsYB0+vxrgK+YfvvXYwdERERfSxRhjHoJMowIiIGEyXKMCIiIiIGWgrIiIiIiOiRFJDRVpJOl7TOvHvOc5y3SfpNO84pIiIi2itvYUdb2f5cT/pLGlKXNeo4zsPAJ9p2Yg2JMuw/iTKMiFg0ZQYy5kuNSmzFB95Z4wSXqtGCI2qfHSVNqFGKYyUNre33S/qJpCnA7pJWl/THGoE4RdJqdfzbav9Rki6QdKmke5pvqEvat6b63CLpNEknDMgvJCIiYhBJARm9sRZwku33AE/RWLtS0vKU5YF2qHGKk4CvN/Z9zPbGts8FzgZOrPGHWwB/6+RYwynLFa0P7CHpHZLeRolFfC8lwrDLdSETZRgREdE+uYUdvfGg7Rvq518CBza2vZeyxuUNkgDeBExobD8PoC58vrLtcQC2n6/tHY91pe0n67Y7gHcBywPX2v6/2j4WWLOzE7V9KmWdSRZfaY2sXRUREdELKSCjNzoWYs3vAq6wPZLOdbqw+VwksjAiImIBkf8JR2+8U9LmticAnwKup8QaAtxESaRZ3fafJL2ZMtN4d3MA209LekjSR21fKGlxuo5d7Ggi8FNJbwGepmR3z5jXToky7E95XCAiYsAlyjAWMDOBAyTdCbwFOLm1wfY/gVHAOTUicQJdP6P4GeDA2u9G4P915+C2/wocAdwC3ADcTyqWiIiIPpcow5gvklYBfmt7vQE+j6G2Z0l6IyUz+4zW85RdSZRhREQMJokyjHi9wyVNBW4D7gMuHODziYiIWOTlGciYL7bvBwZ09rGex0EDfQ4RERGDTQrIGHCSZvPal1/OtX2kpK8Cp9p+tp3HSxJN/0oaTUTEoicFZCwInrM9vJP2r1LWl2xrARkRERG9k2cgY4Ek6UDgbcDVkq6WNETSGEm3SZoh6Ws18nBKY581mt8jIiKib2QGMhYES9YXYVp+bPs4SV8HtrX9qKRNKOtIrgcgaVnbT0h6UtJw21OBfYDRnR1A0n7AfgBDllmhb68mIiJiEZcCMhYEXd3CbroXWFXS8cDvgMtr++nAPrXY3APYrLOdE2UYERHRPrmFHQsF248DGwLXAPtTCkeA84EPAbsAk20/NiAnGBERMYhkBjIWZE8DSwOPSloeeNH2+ZJmUl6uwfbzki6jpODs251BE2XY3xIOFBExoPogyjAFZCwIOj4DeantQyi3nC+V9DDljezRklqz5t9q9D8b2I05t7UjIiKiD6WAjAFne0gX7ccDxzeaNu5iiK2A0bZnt/vcIiIi4vVSQMZCTdI4YDVgu4E+l4iIiMEiBWQs1GzvNtDnEBERMdikgBzkJM2ivMF8kO1dGu1jgN/a/o2kXYAfUt7aXwz4GbA8sHvtvj5zogjPAJYDvgGsYvuR1nFsD62f3w6cCKxTx/wtcLDtFyVtA1wNfN726bX/cODW2ue/O5zbNfXcJ3X3mhNlODASaRgRsejIMj4xV5IWo7zM8mHbGwIbAdfY/pHt4XX9xudan20fV3d9FPjPTsYTcAFwoe01gDWBocCPGt1uA/698X0kMK3d1xYRERHzJwVkzMvSlJnqxwBsv2B7Zjf2OwPYQ9JyHdq3A563PbqONxv4GvBZSUvVPg8AS0hasRacOwF/6P2lRERERDukgIy5sv1/wMXAA5LOkbRnYymduZlFKSK/0qF9XWByh2M8BfwFWL3R/BvKLfItgCnAC/N3BYWk/SRNkjRp9rNZlzAiIqI3UkAGQFfRfgaw/Tlge+AW4CBKYdgdxwF7S1p6Ps7p15QCciRwznzs/xq2T7U9wvaIIUsN6+1wERERg1oKyIBye/otHdqWozzHCIDtGbaPBT4AfLw7g9p+AvgVcECj+Q5gk2Y/ScsA7wT+1Nj378BL9XhXdvdCIiIiou/lLewAuAd4m6T32L5T0rsoudNTJQ0FRti+pvYdTnlGsbuOASYy5+/alcCRkvayfZakIcD/AGNsP1seeXzVd4F/sT27Q3uvJMpwoOTRgYiIAZEow2gnSW8EXrD9gqRPU6ICl6DM/H3O9pP19vM3JJ0CPAc8A4zq7jFsP1oX+/5a/W5JuwEnSfoOZRb898C3O9n3xm4e5neSXqqfJ9jefa69IyIioldkd/X4WyzqJG0InGZ7s4E+l/40YsQIT5rU7WUjIyIiFmqSJtse0c4x8wzkICVpf8rLKYcN9LlERETEwiUF5CBl++e217F9eTvGk3SgpDslnd2DfVaRdFsX234gaYd2nFtERES0V56BjHb5ErCD7YfaMZjt77ZjnM4kynDBk5jDiIiFS2Ygo9ck/RxYFfiDpG9KmiDpVkk3Slqr9llX0i2SpkqaLmmNuvsQSadJul3S5ZKWrP3HSPpE/bx9HW+GpDMkLV7b75f0fUlT6ra1B+DyIyIiBp0UkNFrtvcHHga2BU4Gtra9EWUZniNqt/2Bn9Xs7BFAa6ZyDeBE2+sCT9Bhjcn6VvgYYA/b61Nmzb/Y6PKo7Y3rcQ9q/9VFRERERykgo92GAWPrs43HUqILASYA35b0TeBdtp+r7ffZnlo/TwZW6TDeWrXP3fX7mcD7GtsvmMu+r0qUYURERPukgIx2+yFwte31gA8DSwDY/hXwEcpakr+XtF3t38y4nk3Pn8tt7T/XfRNlGBER0T4pIKPdhgF/rZ9HtRolrQrca/s44CJgg26ONxNYRdLq9ftngGvbc6oRERExP/IWdrTbUcCZkg4Dmq86/zvwmZoY83fKs5HLzGsw289L2odyW/yNlFjEn/fmBBNluCDKYwUREX2mD6IMk0QTg06SaCIiYjBJEk1EREREDLgUkBERERHRIykgFwGSZvWw/+GS5rpmYl2ke/nenVlEREQsivISTQw4SaI8j/tKfxwvUYYLl8QcRkQseDIDuQiRNFTSlY1ov10b2w6VdLek6ymLcyNpNUlTGn3WaH4HvlHHuaW1jI6kVSRdVeMIr5T0zto+RtJxNb7w3lYMYd12sKSJdZ/vN8aZKeks4DbgHXWM2+oxv1b7bVr3myrp6LpAOZJ+J2mD+vlWSd+tn38g6fN98fuNiIiIIgXkouV5YLca7bct8D8qNgE+CQwH/g3YFMD2n4EnJQ2v++8DjG6M92SNDzwB+GltOx440/YGwNnAcY3+KwFbAbsARwJI2pESV7hZPf4mklpJMmsAJ9UYw+WBlW2vV4/ZOo/RwBdqBOLsxrHGA1tLGga8DGxZ27cGruvB7ywiIiJ6KAXkokXAEZKmA38EVgZWpBRV42w/a/sp4OLGPqcD+0gaAuwB/Kqx7ZzGz83r580bfX5BKRhbLrT9iu076nEBdqx/bgWmAGtTCkeAB2zfVD/fC6wq6XhJOwFPSVoWWNr2hNqneW7jKZGGW1LWmxwqaSng3bZnvu4XkyjDiIiItkkBuWjZE1gB2KTO2P2DGiU4F+cDH6LMGk62/Vhjm7v43JVmLKEaP39se3j9s7rt/63bnnl1cPtxYEPgGmB/SmE7NxOBEcyZcbwV+DwlE/t1EmUYERHRPnmJZtEyDHjE9kuStgXeVduvA8ZI+jHlv/mHgVPg1aSXy4CTgX07jLcH5Vb0HkBrFvBGyu3wX1AK1vHzOKfLgB9KOtv2LEkrAy917FTf+H7R9vmSZgK/tP2EpKcl/avtm+txqef9oqQHgd2BH1AK5/+uf+YqSTQLm8wYR0T0Sh8k0aSAXLScDVwiaQYwCbgLwPYUSecB04BHKLN3HffbDbi8Q/tb6u3wF4CRte3LwGhJBwP/pDw32SXbl0t6DzChvGzNLODTvPZ5Rii320dLas2Kf6v+3Bc4TdIrlAzsZjUxHtje9nOSxgNvZ94FbURERPRSogyDuibkMNvfGehz6UjSUNuz6udDgJVsf6U3YybKMCIiBpO+iDLMDOQgJ2kcsBqw3UCfSxd2lvQtyt/VB4BRA3s6ERERkQJykLO920Cfw9zYPg84b6DPIyIiIubIW9j9TNJHJVnS2vPo97p4QknjJH208X2mpMMa38+X9LH2nnH3SFq3LjA+U9I9kr5TE2baMfZmdSHxqZKmSdqtsW2nesw/1VvcERER0ccyA9n/RgLX15/f6+G+NwBbABdKeitlGZzNG9s3Bw5ox0n2hKQlKWtLfrG+NLMUZXmgLwEn9nLsN1KSakbYflnSSsA0SZdQlhY6EfgA8BAwUdLFdR3KLiXKcNGQiMOIiIGTGch+JGkoZeHtfalL0khaSdJ1dXbtNklbd9hneUkTJO1MWUJni7ppC+ASYIWaNvNu4Dnbf5e0hKTRNRLw1rqkD5JGSbpQ0hWS7pf0H5K+XvvcJGm52m81SZdKmixpfGu2VF3HFX4KuMH25QC2nwX+AzhE0hvqsZZtXNM9klaUtEKdNZ1Y/2xZtx8u6ReSbgB+URdAf7nuvgRz1qTcDPiT7XttvwicC7wa3xgRERF9IwVk/9oVuNT23cBjNWLwU8BldeHvDYGprc6SVqSkrHzX9u8oi2SvJ+lNlAJyAjATeE/9fmPd9QDANRJwJHCmpNaC4usBH6PEGf4IeNb2RnWsvWqfU4Ev294EOAg4qXENr4srBNalwwLeNSZxaP1zEWWZICT9KyWB5h/Az4BjbW8KfJzXLh6+DrCD7ZGt/STdDswA9q8F5crAg419HqptERER0YdyC7t/jaQUTVBmy0ZSbv2eIWkxShRgq4BcDLgSOMD2tQC2X6hF1MbAe4GjgFUpxeNGlFvcUAq84+s+d0l6AFizbrva9tPA05KepMxiQinMNqizpFsAYxuPMC7euIYLbb8C3FEL3O44D/guJdf6k8x5KWYHYJ3GcZapxwe42PZzrQ11IfF165qSZ0r6QzePDZQoQ2A/gCHLrNCTXSMiIqKDFJD9pN4e3g5YX5KBIZRbsQdTMp13pqTFHGP7LOBlyqzeBykLaLfcUPsvbftxSTdRbhdvRE2XmYdm3OArje+vUP4+vAF4os6Izmv/VuV3Rz2n5vWuCsyy/ZSkCcDqklYAPgr8V+32BuC9tp/vsC80Yg6bbN9ZXzBaD/gr8I7G5rfXts72O5Uys8riK62RxU8jIiJ6IQVk//kE5Xm+L7QaJF1LKbyut32apMUps4tnUYrLz1JmAr9p+yd1txuB/6FkRgNMp8xGrkh52QRKGsuewFWS1gTeSbnVvfG8TrIWfPdJ2t322Pom9Qa2p81lt7OBb0vawfYf60s1x1FmSLHtut7kMcCdjbztyynJNkfX38fwxgzsq+rznQ/Wl2jeBawN3A88AaxRt/+VMrs5zzcrEmW4qEjEYUREt/RBlGGegew/I4FxHdrOB8ZQ3iq+lZI53brFje3Zdb/tJH2pNt9IuW09ofZ5mRJPOKneWobyzOIbVCINzwNG2W7OHM7LnsC+kqYBtzOPF1PqreZdgcNUcqxnUOIST2h0O48SYdhc0/FAYISk6ZLuAPbv4hBbUX5HUym/wy/ZfrRe+39Q8rbvBH5t+/YeXGdERETMh0QZxqCTKMOIiBhM1AdRhpmBjIiIiIgeSQEZERERET2SAjIWCJJmN6IKp0jaoravIum5uu0OST+vi5O32m+VdKekWySNGuDLiIiIGBTyFnYsKJ5rLR0k6YPAj4H3121/tj28xhpeRVkKaEpt36jusypwgSTZHj23AyXKcNGSSMOIiP6XGchYEC0DPN6xsb51fSOweifb7gW+TnmzOyIiIvpQZiBjQbFkXaZnCUpc4nYdO0haCtiekmrTmSmUNSJfJ0k0ERER7ZMZyFhQPGd7uO21gZ2AszQn43C1WlzeAPzOdlcxhl2ulGr7VNsjbI8YstSw9p55RETEIJMZyFjg2J4gaXmgNVX457lEKzZtRFlQPCIiIvpQCshY4Eham5IV/hiwVDf3WQX4b+D4efVNlOGiJpGGERFz1QdRhikgY0HRegYSyq3ovW3PnnMXu1Or1QjIJYCngeNsj+nb04yIiIgUkLFAsD2ki/b7gfW6aF+yb88qIiIiOpOXaCIiIiKiR1JARkRERESPpIBcgHQV59eD/cdI+kQ3+g2XZEk7zf/Z9oykUZLe1l/Hi4iIiL6TZyAXLHOL82unkcD19eelfTB+Z0YBtwEP99PxupQow0VP4gwjIvpXZiAXXK/G+ak4WtJtkmZI2qPRfoKkmZL+CPxLbd9O0oWtgSR9QNK41j7A7pSC7gOSlmj020vS9DoD+ovatqKkcbVtWmtWVNKnJd1SZ0xPkTSkts+SdKyk2yVdKWmFOis6Aji79l9S0nclTazXdGpr0XBJ10j6SR37bklb1/Yhkv679p8u6cu1fRNJ10qaLOkySSv13X+SiIiIgBSQC5ola4F1F3A68MPa/jFgOLAhsANwdC2UdgPWAtYB9gJat7yvBtaW1FqIex/gjPp5C+A+238GrgF2BpC0LnAYsJ3tDYGv1P7HAdfWto2B2yW9B9gD2LLOmM4G9qz93wxMsr0ucC3wPdu/ASYBe9a0meeAE2xvans9ytvUuzR+D2+0vRnwVeB7tW0/YBVguO0NKMXoYpR1Hz9he5N6jT/q7BcraT9JkyRNmv1s1g2MiIjojRSQC5au4vy2As6xPdv2PyiF2abA+xrtDwNXAdg28Avg05KWBTYHWvF/I4Fz6+dz63co2dNjbT9ax/i/RvvJtW227ScpedSbABPr2o3bA6vW/q8A59XPv6zn3pltJd0saUY9xrqNbRfUn5MpRSOUwvkU2y83zm8tyhI/V9TzOAx4e2cHS5RhRERE++QZyAVUJ3F+PTUauAR4nlIYvlxvM38c2FXSoZQFu98qaekeji3gTNvf6kZfv27nctv8JGCE7QclHU5ZDLzlhfpzNnP/Oyrgdtubd+usIyIioi1SQC6gOsT5jQe+IOlMYDnKzOPBlP9+rfZ/AbYFfgVg+2FJD1Nm5Xaow24PTLf9wcZxzqTcCr8KGCfpGNuPSVquzvJdCXwR+GktQIfWtoskHWv7EUnLAUvbfoAyq/0Jyuzmpygv60BJimkVqq1i8VFJQ2v/38zjV3JFvdarazG8HDATWEHS5rXgXgxY0/btcxsoUYaLojyWEBHRpT6IMswt7AVL6xnIqZTbwHvbng2MA6YD0yiF3jds/7223wPcAZwFTOgw3tnAg7bvrN9H1n2azgdG1qLrR8C1kqYBx9TtX6Hcbp5BuaW8ju07KIXp5ZKmU4q71ssrzwCbSbqNcmv6B7V9DPDzem0vAKdR3sq+DJjYjd/N6cBfgOn1/D5l+0VK8fmT2jaVOc+BRkRERB9ReVwuFkWSTgButf2//XjMWbaH9tfx5seIESM8adKkgT6NiIiIfiFpsu0R7Rwzt7AXUZImU2YD/3OgzyUiIiIWLSkgF1F1WZuBOO4CPfsYERERvZcCchCTtCJwLPBeyqLlLwJHAQ8Ce9k+sJN9tgEOsr1L/b4T5TnHZShvfM8EDrb9l/64hvmRJJpFX5JpIiL6VgrIQaquL3khZTmeT9W2dwEfsT2OsvB3x33e2OH7epSFvD/SelFH0kcoazf2SwEpaUh90SgiIiL6Sd7CHry2A160/fNWg+0HbB8vaRtJvwWQdLikX0i6gbI4edM3gSMab3lj+2Lb19V9P1/jCqdJOl/SUrV9jKSTJd0k6d56vDMk3SlpTGssSTtKmiBpiqSxdckfJN1f4w6nALtLOlDSHTXi8FwiIiKiT6WAHLzWBaZ0s+86wA62R3Zon9cYF9S4wg2BO4F9G9veQknI+RpwMeVW+rrA+pKG10XUD6vH3ZgyI/r1xv6P2d7Y9rnAIcBGNeJw/85OJFGGERER7ZMCMgCQdGKdKexsTcaLa3713PZ/a13D8m5JB9Xm9SSNr2tI7slr4wovqZGLM4B/2J5h+xXgdsot8PdSCtcb6tqRewPvaux/XuPzdEo29qeBlzs7v0QZRkREtE8KyMHrdmDj1hfbB1CSajqLTnxmXmPYfsz2cOBUSloNlMXD/8P2+sD36Tyu8JXG59b3N1JiCq+o2eDDba9juzmD2TynnYET67lM7PisZkRERLRX/kc7eF0FHCHpi7ZPrm1L9XCMoyjxhzc1noNsjrE08LcaMbgn8NcejH0TcKKk1W3/SdKbgZVt393sJOkNwDtsXy3peuCTlAL2ia4GTpThYJDHFCIiXtUHUYYpIAcp25b0UeBYSd8A/kmZ1ftmD8aYIekrwFmSlgEepbx9/b3a5TvAzXXsm5mThd2dsf8paRRwjqTFa/NhwN0dug4BfilpGGXW8jjbXRaPERER0XuJMoxBJ1GGERExmPRFlGGegYyIiIiIHkkBGRERERE9kmcgY75JWhb4lO2TOkYc9mLMjwDr2D6yHefYmUQZDg6JM4yI6DuZgYzeWBb4UjsHrEk2fVY8RkRERO+lgIzeOBJYrS70fTQwVNJvJN0l6eyat42kTSRdK2mypMskrVTbXxdBKGmUpBPq53lGHkoaUvvdJmmGpK8NxC8iIiJiMMkt7OiNQ4D1bA+vt7AvoqTNPAzcAGwp6WbgeGDXujTPHsCPgM/W/d9t+4V6O7wzrcjDj1AiD7cEPkdZMHw4ZRmflW2vB6/eVn8dSfsB+wEMWaaztdIjIiKiu1JARjvdYvshgDoruQplQe/1gCvqhOQQ4G+1fyuC8ELgwi7GvKSuWflq5GEdvxV5eC2wqqTjgd8Bl3c2iO1TKSk5LL7SGlm7KiIiohdyCzvaqRlKLOMlAAAgAElEQVRJOJs5kYS3NyIJ17e9Y+3TnQjCuUYe2n4c2BC4BtgfOL1dFxMRERGdywxk9MbTzDtdZiawgqTNbU+osYZrAnfSeQRhj0haHnjR9vmSZgK/nNc+iTIcLBJnGBEBJMowFiy2H5N0g6TbgOeAf3TS50VJnwCOq3GDbwR+SokkfF0EYb3N3RMrA6NrJjbAt+bzciIiIqKbEmUYg06iDCMiYjBJlGFEREREDLgUkBERERHRI3kGMtpO0keBccB7bN81l36zbA/t0HYv8CHbMxttPwX+ZvsnXYyzCrCF7V915/wSZTj4JNYwIqK9MgMZfWEkcH392VPnUt7IBqC+HPOJ2t6VVYBUCBEREf0kBWS0laShwFbAvtRCUNJKkq6TNLVGDm7dYZ/lJU2QtDNwDrBHY/P7gAdsP1BjC4+WNLHGH36h9jkS2LqOnyjDiIiIPpZb2NFuuwKX2r5b0mOSNgG2AS6z/SNJQ4ClWp0lrUiJKDzM9hW17RVJG9qeRilCz6nd9wWetL2ppMWBGyRdTolEPMj2Ll2dVKIMIyIi2iczkNFuI5lzu/nc+n0isI+kw4H1bT9dty8GXAl8o1U8VucAn6zJNB8Fxtb2HYG9akzizcBbgTW6c1K2T7U9wvaIIUsNm++Li4iIiMxARhtJWg7YDlhfkim51wYOptyK3hkYI+kY22cBLwOTgQ9SMq1bzqVkWl8LTLfdWqBcwJdtX9bhuNv02UVFRETE66SAjHb6BPAL261nE5F0LaV4vN72afXW88bAWZTi8rPAWEnfbL1lbfvPkh6lPNv4s8b4lwFflHSV7ZckrQn8le5FKr4qUYaDUWINI2IQ64Mow9zCjnYaSVm+p+l8YAwwTdKtlBdkXi0Kbc+u+20n6UuN/c4B1gYuaLSdDtwBTKnxiadQ/hE0HZgtaVpeoomIiOh7iTKMQSdRhhERMZgkyjAiIiIiBlwKyEFA0taSbq/rJC45l37XSGrrv1Ak3S9p+XaOGREREQMrL9EMDnsCP7b9y4E+kc5IeqPtl/vreIkyHLwSaRgR0R6ZgVzISLpQ0uQ6o7ifpN0lHVO3faVmSSNpVUk3SPoc8O/ADyWdLWkbSb9tjHeCpFGdHGfHmg4zRdJYSUMlbSfpwkafD0ga11X/xnDfkDRD0i2SVq/9x0j6uaSbgaMkLVevbbqkmyRtUPvNkLSsisck7VXbz6rHX7eOO7Xu2611ISMiImL+pYBc+HzW9ibACOBA4EagFQ24NfCYpJXr5+tsn05JejnY9p7dOUC95XwYsIPtjYFJwNeBq4G1JbWiXPYBzphL/5Ynba8PnAD8tNH+dmAL218Hvg/cansD4NuUZX4AbgC2BNYF7m1c6+b12vcHfmZ7eP2dPNSda4yIiIj5l1vYC58DJe1WP7+j/hkqaen6+VeUdRe35rVL4PTEe4F1KFGBAG8CJti2pF8An5Y0mlLE7QXs1Fn/xnjnNH4e22gfW5fxgZKf/XEA21dJequkZYDx9XoeAE4G9qsF8uO2n5E0AThU0tuBC2zf09kFJcowIiKifVJALkRq4soOwOa2n5V0DbAEZSZuH2AmpeD6LKW4+89OhnmZ1848L9HZoYArbI/sZNto4BLgeUoB+LJK1dhVfygLhnf2+Zku+jddBxwAvBM4FNiNsmD5eADbv6q3wXcGfi/pC7avet0J2KcCpwIsvtIaWbsqIiKiF3ILe+EyjDLz9qyktSkzhVCKqYMoxdatwLbAC7Y7i994AFhH0uKSlgW276TPTcCWjecV31xTX7D9MPAw5Zb16Hn1r/Zo/GzOTDaNp7zs0yqUH7X9lO0HgeWBNWzfC1zfuFYkrQrca/s44CJggy7Gj4iIiDbJDOTC5VJgf0l3UmYbb6rt4ym3r6+zPVvSg8BdnQ1g+0FJvwZuA+6jFJwd+/yzvlhzTo0ehFIw3l0/nw2sYPvObvZ/i6TpwAuU1JnOHE55nnI68Cywd2PbzZRc7da1/phSSEJ5Qegzkl4C/g4c0cX4r0qU4WCWSMOIGIT6IMowSTTRY5JOoLzw8r8DfS7zI0k0ERExmPRFEk1mIKNHJE2mPLvY2fOVERERMQikgIweqUsIRURExCCWl2iixyQdLumg+dhvVjf6fFXSUo3v3+7pcSIiIqJvZQYyFjRfBX5JeZEGyqLi83wxpknSkMb6kq+TKMNIpGFERO9kBjK6RdKhku6WdD2wVm1bTdKlNVpxfF1aCEkrShonaVr9s0WHsTqNU5R0IPA24GpJV0s6EliyxhSeXft+uhFdeIqkIbV9lqT/kTSNsgZmRERE9JEUkDFPkjYBPgkMB/4N2LRuOhX4cn0u8iDgpNp+HHCt7Q2BjYHbu3Ocupbjw8C2tre1fQjwnO3htveU9B7KWpJb1ujC2dS1I4E3Azfb3tD29Z0eICIiItoit7CjO7YGxtl+FkDSxZQEmy2AsTW+EKC1BuR2lIhD6q3kdi2+tz2wCTCxHnNJ4JG6bTZwflc7JsowIiKifVJAxvx6A/BEnQnsqe7EKXZGwJm2v9XJtufn9txjogwjIiLaJwVkdMd1wBhJP6b8nfkwcApwn6TdbY+tedgb2J4GXAl8EfhpfUZxaIdYxVfjFCmziNszJ1nmaWBp4NH6/SVJi9l+qY57kaRjbT8iaTlgadsP9ORikkQTSaSJiEGlD5Jo8gxkzJPtKcB5wDTgD8DEumlPYN/64srtwK61/SvAtpJmAJOBdTqM9yDQilP8Na+NUzwVuFTS1Y3v0yWdbfsOSkTi5TXy8ApgpXZea0RERMxbogxj0EmUYUREDCZ9EWWYGciIiIiI6JEUkBERERHRIykgo60kza6LfE+TNKXjIuKd9F9F0m2dtI+QdFzfnWlERETMr7yFHe32XGtpH0kfBH4MvL+ng9ieBPTJg4qJMgxInGFERG9kBjL60jLA4wCShkq6ss5KzpC0a8fOklaVdKukTZtxh5IOl3SGpGsk3VsjD1v7fEfSTEnXSzpH0kH9dnURERGDVGYgo92WlDSVsjj4SpRUGoDngd1sPyVpeeCmmmgDgKS1gHOBUbanSdqmw7hrA9tS1oicKelkSrTix4ENgcWAKZRlgyIiIqIPpYCMdmvewt4cOEvSepQUmSMkvQ94BVgZWLHuswJwEfCxutZjZ35n+wXgBUmP1H23BC6y/TzwvKRLujqpRBlGRES0T25hR5+xPQFYnlIg7ll/blILzH8wJ8LwSeAvwFZzGe6FxufZ9PAfP7ZPtT3C9oghSw3rya4RERHRQWYgo89IWhsYAjwGDAMesf2SpG2BdzW6vgjsBlwmaZbtX3XzEDcApzQiFneh5l3PTaIMo0icYUQMEn0QZZgCMtqt9QwklNvWe9ueLels4JIabzgJuKu5k+1nJO0CXCFpFvDUvA5ke2J9jnI6ZUZzBqkKIiIi+lyiDGOhJmmo7VmSlgKuA/ar2d1dSpRhREQMJn0RZZgZyFjYnSppHcrzlGfOq3iMiIiI3ksBGQs121kNOiIiop/lLeyFSF1M+5Fm9J+k5SRdIeme+vMttV2SjpP0J0nTJW1c21eR9FxdsPtOSbdIGtWP13C0pNvrz8NbC39LWqKe/+Hz2P/b/XKiERER0aXMQC5cxgAnAGc12g4BrrR9pKRD6vdvAh8C1qh//hU4uf4E+LPtjaCkvwAXSJLt0f1wDfsBy9UXaw6v5/Am4Hxgsu3D57H/t4EjenMCiTIMSJRhRERvZAZyIWL7OuD/OjTvCpxZP58JfLTRfpaLm4BlJa3UyZj3Al8HDgSQtJmkCXWG8saaEIOk6yQNb+1XowM3lPR+SVPrn1slLV1nP4+WdFuNLdyj7nMxMBSY3Gqj/CPmPOAe24c0xv90nR2dKukUSUMkHUl9y7u+1Y2kr9fj3Cbpq/P7u42IiIjuSwG58FvR9t/q578zJ91lZeDBRr+HaltnplCiAqEsr7N1naH8LnNm+/4XGAUgaU1gCdvTgIOAA+ri4FsDzwEfo8QMbgjsABwtaSXbH6Em1dg+r477DeBF268Wf5LeA+wBbFnHnQ3sWQvM1v57StoE2Icys/pe4POSNursAiXtJ2mSpEmzn81KPxEREb2RAnIR4rIm0/ysy9RcYXQYMLY+Z3kssG5tHwvsImkx4LOU2+lQFvM+RtKBwLK2X6Ykypxje7btfwDXApt2cezrgS1qUdqyPbAJMLGuKbk9sGon+24FjLP9jO1ZwAWUIvZ1kkQTERHRPikgF37/aN2arj8fqe1/Bd7R6Pf22taZjYA76+cfAlfbXg/4MDVu0PazwBWUW+P/Dpxd248EPgcsCdxQ02d64jrgq8AfGrfYRVmSZ3j9s1Y3no2MiIiIfpKXaBZ+FwN7A0fWnxc12v9D0rmUW7xP2v6bpFWaO9fv/w0cX5uGMafQHNXhWKcDlwDjbT9e91/N9gxghqRNKbfCxwNfkHQmsBzwPuDgri7A9vmS/gW4VNL7gSuBiyQda/sRScsBS9t+AHhJ0mK2X6rHGVOfjRQlDvEz8/qFJcowijzKEBGDRKIMBzdJ5wDbAMtLegj4HqVw/LWkfYEHKLODAL8H/g34E/As5VnBltUk3UqZXXwaOM72mLrtKOBMSYcBr3lV2fZkSU8Bzbe1v1qzrV8Bbgf+QMm23hyYRrml/g3bf5/btdk+WdKKlMJ3R+Aw4HJJbwBeAg6o13cqMF3SlPoc5BjgljrM6bZvndtxIiIiovcSZRjdJultwDXA2rZfGeDTmW+JMoyIiMGkL6IM8wxkdIukvYCbgUMX5uIxIiIiei+3sKNbbJ/Faxcwj4iIiEEqM5ALGElvl3RRjSb8s6Sf1aSWdo0/StIJHdqukdTWqe3G2D+V9Nf6LCOS9mksPP5iXWh8qqQjJX2kpulERETEAiwzkAsQSaKsZXiy7V0lDaG8NPIj5vIW84KqFo27URY0fz9leaDR1JdwJN0PbGv70cZuF/f1eSXKMCBRhhERvZEZyAXLdsDzrUxq27OBrwGflfQlSRdIurTOTh7V2knSTpKmSJom6cra9mZJZ9Q4wFsl7dqdE5A0S9Kxkm6XdKWkFWr7cEk3SZouaZykt9T2ayT9pB7nbknNhby3obyZfTIwshvHfnV2VNIYSSfXY94raZt6PXfWN69b++yoEr04RdJYSUO7c50REREx/1JALljWBSY3G2w/BfyFMls8nBLxtz6wh6R31ALvNODjtjcEdq+7HgpcZXszYFtKnOCbu3EObwYm2V6XkiDzvdp+Fv+fvTuPsquq0z7+fQjzFECQNyIYhiBjiBBQFBAUUQRbUQYRG+IAIgiCjS22qKDYotgiMgeEAEFkVgRkaCAGMIEEMoIMytDiAMocZsLz/rH3JZfKrSlVlUpSz2etrDr33H322afIWvmxzzn7gW/YHg7MaNoPsHg9z2Ft9u8NXAhcAexSU2y6Y2XKckCHU2YmG8k4m9aCdlXKcj872t4cmEzJ9Z5LogwjIiJ6T25hL1xutP0MgKR7gHdQiqzxth8CsP1kbbsT8G+SjqiflwbWov2ow8b+14FGTvVY4HJJgykxhb+v+8+lRBs2XF5/3gkMreNbkrIO5ddsPyfpduDDwFXduN7f2rakGcBjdcFyJN1dz/N2YCNKAg7AksCElhdnj6Y8DsBSQ4Zl7aqIiIgeSAG5YLkH2L15h6QVKYXfa8DLTV/NpuP/fqLMSt7Xpr91KUVns1WAf9FaV4qtxriax/RhYCVKQg3AssCLdK+AbPT7Om++9tfreWYDN9ju9PZ4RERE9J4UkAuWG4HjJO1r+7z6Es3/AGMoaTKtTAROlbS27YckrVJnIa8DDpF0SJ3Fe1dNaZkEnCzp/9n+R337einKiy5QHmvYHfgV8BngVtvPSHpK0ra2b6HEBf6+7UDa2Bv4ou0LoTyTCTwkadmaq90bJgKnSFrP9p/qOdawfX9HByXKMIo8yhARA0QfRBnmGcgFiEss0G7AHpIeAO4HXgL+q4Nj/gkcQLnVPI05t5+/DyxBif27u37G9mPAV4FrJE0Ffgbs3bQ4+PPAVpJmUl7q+V7dvx/lOcrplGcxG/vnImlZ4CM0RSHafh64FfhY134bnavXPgq4sI5rAiWLOyIiIvpQogzjTSTNsr1Iv8mcKMOIiBhIEmUYEREREf0uBWS8yaI++xgRERE9l5do5pGkocBVtjeZn8cu7Oq1v9f2L/trDEmiibaSShMR0T2ZgYz5bSjl7e6IiIhYSKWA7JnFJV1Q4/UulbSspO9ImiRppqTRNd8aSVvUqMFpwMGNDiRdLWl43Z4i6Tt1+3uS9ldxfO1vhqS96vfbS/q9pN/UqL/jJO1TIwVn1PUekbSapMvqmCZJel/df3SNBhxXjz+07l+ujmlaPWfjfO1dV8soQ0lDJd1SIwbvkvTeesnHAdtKmirpcElLSzqnjnmKpB3q8aMk/VrSDZIelvQVSV+rbSZKWkXSupLuavpdDmv+HBEREX0jBWTPvBM41faGwLPAQcDJtrest6eXAXatbc8BDqlxg81uoRRUgymLhb+v7t8WGA98krJszmbAjpSldIbUNpsBBwIbUtZmXL9GCp4FHFLbnAicYHtL4FP1u4YNKAt+bwV8VyVq8CPA32xvVq/h2tq2veuC1lGGjwMfqhGDewE/r/uPBG6xPcL2CZRi2rY3pawdea6kpWvbTer1bwn8AHjB9rsoy/Xsa/vPwDOSRtT2n6u/57koUYYRERG9JgVkz/zF9m11eyywDbCDpNtV4vc+AGwsaSVKFOD42vb8pj5uAbajFI5XA8vXdRTXriky2wAX2p5d13D8PaWgAphk+++2Xwb+DFxf98+gRgpSis6T65qPVwIrSmq8KHO17Zdt/4tS8K1ej/1QnVXcthGd2Oq6mq5hrihDyhqUZ9b2l1AiB1vZpv7usH0v8Aiwfv3uZtvP1fUenwF+2+L6zgI+p7Lo+l5Ay2crbY+2PdL2yEHLDm5nKBEREdEVeYmmZ9ouomngVGCk7b9IOpqSQd2RScBI4EHgBmBVYH9KMdaZtvF+zdF/jf+2iwHvsf1S84H1DvRc0Yi275e0OSXH+lhJNwI/7uS6WkUZHg48RpklXYyyIHp3deX6LqPMet4E3Gn7iXk4T0RERHRDCsieWUvS1rYnUGP/gPcC/6qzfLsDl9p+WtLTkraxfSuwT6MD269I+guwByXdZTXgJ/UPlBnKL0k6l5JZvR3wdbqeuHI95Xb28QCSRtie2l5jSW8DnrQ9VtLTwBeZUyy+6bo6Oe9g4FHbr0vaDxhU9z8HrNDU7hbK7+MmSetTcr/vAzbvysXZfknSdcBpwBe6ckyiDGNueawhIhZhiTJc4NwHHCzpj8DKlCLmTGAmJYt6UlPbz1Fym6cCbf9L3gI8bvvFuv32+hPgCmA6MI0yy/aftv/RjTEeCoyUNF3SPZRnJjuyKXBHHed3gWNtP93BdbXnVGC/+tLQBpSIROq1zK4v6Rxe2y1Wb3VfBIyqt+S74wLKrOT1nTWMiIiInkuUYSz0JB0BDLb97a60T5RhREQMJOqDKMPcwo6FmqQrgHUpL/ZERETEfJACMhZqtnfr7zFEREQMNCkgo0vUzfhFSaOA623/rX4+DBht+4VOjtsWOB14FdgFONH27r0xpoZEGUZHEmsYEdG5vEQTfWUU8Lamz4cBy3bhuH2AH9aFxv/aXvEYERER/ScFZHRHq+jGLWqk4p2SrpM0RNLulLUtL6iRhV+lFJM3S7oZQNJpNRnmbknH1H1fBPYEvl/PM1TSzPrdxjUucWp9o3xYHdMgSWfWfq6XtMx8/61EREQMMCkgozvaRjceDJwE7G57C+Bs4Ae2LwUmA/vUmcQTgb8BO9jeofb1rfpG2HDg/ZKG2z6Lkpbzddv7vPnUHEi5nT2CUpw+WvcPA06xvTHwNCWucS6JMoyIiOg9eQYyuqNtdON/UfKqb6jJNoOAv3exrz0lHUD5OziEEnU4vYP2E4BvSXo7cLntB+o5H2paGL05SvFNbI8GRgMsNWRY1q6KiIjogRSQ0R1tC6/ngLttb92dTiStDRwBbGn7KUlj6CTy0fYvJd1OebHmGklfosQ/to1jzC3siIiIPpYCMrqjbXTjRGD/xj5JSwDr276buSMLG5//BaxISaZ5RtLqwM7AuI5OLGkd4EHbP5e0FuXW94PzchGJMoyO5RGHiFjEJMow+lnb6MaTKLnYP6qRhVMpWeAAY4DT60svy1BuH18r6Wbb04ApwL3AL4Hb6NyewMwasbgJcF7vXVZERER0R6IMY8BJlGFERAwkfRFlmBnIiIiIiOiWFJARERER0S15iSYWKJLOBnYFHm+OKJS0CnARZZmeh4E96xvcGwDnAJtT1pb8SWfnSJRhdCRRhhERncsMZCxoxgAfabH/SOBG28OAG+tngCeBQ4FOC8eIiIjoHSkgYy41QvDeFrGFD0tatbYZKWlc3T5a0vmSJkh6QNL+df/2ksZLulrSfZJOl7SYpM9L+lnT+faXdAKA7fGUorCtjwPn1u1zgU/U9o/bngS82ke/joiIiGgjBWS0p21s4UGdtB8OfADYGviOpLfV/VsBh1CSZtYFPglcDHysrhsJ8DlKDGJHVrfdSLn5B7B6N64lUYYRERG9KAVktKdtbOE2nbT/je0Xbf8LuJlSOALcYftB27OBC4FtbM8CbgJ2rc8wLmF7RlcH5rL2VLfWn7I92vZI2yMHLTu4O4dGREREG3mJJtrTtkAz8Bpz/qejbfRgq/Yd7T+LkqV9L+UlmM48JmmI7b9LGgI83oVjIiIiog+kgIz2tI0tvJUSRbgF8DvgU23af1zSD4HlgO0pL7msD2xVs68fAfaiJNJg+3ZJa1Lenh7ehfFcCewHHFd//mZeLyxRhtGxPOIQEYuYRBnGfNQ2tvA04BjgREmTgdlt2k+n3LqeCHzf9t/q/knAycAfgYeAK5qOuRi4zfZTjR2SLgQmAO+U9KikL9SvjgM+JOkBYMf6GUn/T9KjwNeAo+oxK/bKbyAiIiJaygxktOc1259ts+8WyqxiK9Nt79ti/7O2d23nmG2AE5p32N67VUPbTwAfbLH/H8Db2+k/IiIi+kBmIGO+k7SSpPuBF23f2N/jiYiIiO7JDGTMxfbDwCadtWtqf3Q7+8cB41rsf1rS22y3N5vZIUmjgOubbpNHRETEfJQCMhZGo4CZwDwVkIkyjM4kzjAiomO5hR1IWq6mxUyTNFPSXh2kziwv6RxJMyRNl/Spuv8jku6qfdxY9x0t6Yim88yUNLTF+b8uaVLt75i6b2hNwTlT0t2Srpe0jKTdgZHABZKm1n3HSbqnHp9Iw4iIiD6WGciAkj39N9u7AEgaDPyonbbfBp6xvWltu7Kk1YAzge1sPyRpla6eWNJOwDDKwuMCrpS0HfB/df/etveXdDHwKdtjJX0FOML2ZElvAXYDNrBtSSvNw/VHREREN2QGMgBmUJbI+ZGkbW13tBDejsApjQ91CZ73AONtP1T3tcqybs9O9c8U4C5gA0rhCPCQ7al1+05gaIvjnwFeAn4h6ZPAC61OkijDiIiI3pMCMrB9P2VB7xnAsZK+Q8epM13V3Ed7/Qj4oe0R9c96tn9Rv3u5qd1sWsyY236NMnt5KbArcG2rgSTKMCIiovekgAwkvQ14wfZY4HhKMfkwJXUG3pw6cwNwcNOxK1MWD9+uJs7QdAv74doXkjYH1m5x+uuAz0tavrZbQ9JbOxnyc5RUHOpxg21fAxwObNb5FUdERERP5BnIANgUOF7S68CrwJeBZSi3hb/Pm5fiORY4RdJMyqzgMbYvl3QAcLmkxSg51R8CLgP2lXQ3cDtwf9sT275e0obABEkAs4DPMnfSTbMxwOmSXgR2Bn4jaWnKbObXOr3YRBlGp/KYQ0QsQvogylC2e73TiAXZyJEjPXny5P4eRkRExHwh6U7bI3uzz9zCjoiIiIhuSQEZEREREd2SAnIhVfOkD+rjc4yQ9NGmz/8m6che6nucpJF1+5qs3xgREbHwyEs0C6+VgIOAU5t3Slq8Lm3TG0ZQUl+uAbB9JXBlL/X9Btsf7bxV70mUYXQmUYYRER3LDOTC6zhg3RrnN0nSLZKuBO4BkPRrSXfWGMADGgdJmiXpBzVycKKk1ev+PWrU4DRJ4yUtCXwP2KueYy9JoySdXNuPkXRa7eNBSdtLOrvGD45pOt9OkibUmMNLGsv1NGvEJrYXX1jbrCvp2npNt0jaoNW4++y3HREREW9IAbnwOhL4s+0RwNcp6y1+1fb69fvP296CMoN4aI38A1gOmGh7M2A8sH/d/x3gw3X/v9l+pe67qC7wfVGLMawMbE1Zf/FK4ARgY2DTevt7VeAoYEfbmwOT6XyZnWHAKbY3Bp5mzhqUo4FD6jUdwZyZ1zeNu5O+IyIiohfkFvai445GlGB1qKTd6vaalMLsCeAV4Kq6/07Keo0AtwFjaub05V08529r/vQM4DHbMwDquo9DgbcDGwG31TUelwQmdNLnXPGFddbyvcAltR+Apboz7joLewDAoBVX6+LlRURERCspIBcdzzc2JG1Pyaze2vYLksYxJ0bwVc9Z/PONeEDbB0p6N7ALcKekRgpNRxpRg6/z5tjB12u/s4EbbO/djetoG1+4DGWm/Ok62/omrcZt+4kW7UZTZjFZasiwLH4aERHRAykgF15vxPm1MBh4qhaPGwDv6awzSevavh24XdLOlFnLjs7RFRMpqTXr2f6TpOWANWr2dpfZflbSQ5L2sH2JyjTkcNvT2hn3XAVksyTRROeSRBMRi5A+SKLJM5ALqTrLdluNFDy+zdfXAotL+iPlZZuJXejyeEkzan9/AKYBNwMbNV6imYcx/hMYBVwoaTrl9vUG3e2n2gf4gqRpwN3AxzsYd0RERPShRBnGgJMow4iIGEgSZRgRERER/S4FZERERER0SwrIAULhu9sAACAASURBVErSV+sC3HdLOqzuW0XSDZIeqD9XbufYh+sajwuUupj5VZ23jIiIiJ7IW9gDkKRNKAuIb0VZF/LaWngdANxo+7iaeX0k8I3+G2nfSJRhdCZRhhERHcsM5MC0IXC77RdqbvbvgU9S3mw+t7Y5F/gEgKS31FjBuyWdBbyxHkCryERJn5f0s6Y2+0s6QdJykq6usYMzG292S/qopHtrPz9vzCLWGdFfS5peIxOH1/1b1XjEKZL+IOmdff0Li4iIiDlSQA5MM4Fta2G4LPBRyvqJq9v+e23zD2D1uv1d4NYaL3gFsFZTX60iEy8GPiZpidrmc8DZwEeAv9nezPYmlJnPpYEzgJ1rP80xMccAU2wPB/4LOK/uvxfY1va7KFGG/90Lv5OIiIjootzCHoBs/1HSj4DrKQk2UympL81tLKmxxtN2lBlKbF8t6ammpnNFJtqeKOkmYNe6FuUStmdIehn4n3ruq2zfImkE8GBTDOOF1MhBYBtqFrbtm2rBuyJlofRzJQ0DDDQK1XYlyjAiIqL3ZAZygLL9C9tb2N4OeAq4H3hM0hCA+vPxjvpoE5m4GTCFOZGJZ1EWEf8ccE495/3A5sAM4FhJ35nH4X8fuLnOYn6s6Zztsj3a9kjbIwctO3geTxsRERGQGcgBS9JbbT8uaS3K7OJ7gLWB/SjpNfsBv6nNxwOfoRR9OwONt7PbjUy0fbukNSkFY+PZxbcBT9oeK+lp4IuUFJ11JA21/TDQnHhzCyWB5vu1WP1XjTUcDPy1thnV3WtPlGF0LlGGEbEI6YMowxSQA9dl9XnFV4GDbT8t6TjgYklfAB4B9qxtj6HEEd5NiQv8v7r/WuDAepv6PuaOTLwYGGG7cct7U0r04Ov1vF+2/aKkgyjPQz4PTGo6/mjg7BqD+AKlqAX4MeUW9lFAXqeOiIiYzxJlGH2mvk19gu0bO2m3vO1ZkgScAjxg+4S+GleiDCMiYiBJlGEsFCStJOl+4MXOisdqf0lTgbspt8XP6NMBRkRERI/kFnb0OttPA+t3o/0JQJ/NOEZERETvygzkIqrOAh7U3+OYV5L+rabhRERExAImM5CLrpWAg4BTm3dKWrymzyzQbF8JXNkXfSfKMLojsYYREXPLDOSi6zhgXUlTJU2SdIukK4F7oHUEYd0/S9IPatzgREmr1/171PjBaZLG132jJP1G0jhJD0j6blM/rSIOB0kaU/uZIenwuv9QSffUyMJfNfV9ct0eUyMO/yDpQUm71/2LSTq1xiDeIOmaxncRERHRdzIDueg6EtjE9oi6huLV9XMj8eXztp+UtAwwSdJltp8AlgMm2v6WpB8D+wPHUiIDP2z7r5JWajrPVsAmlGV2Jkm62vbkVv0DQ4E16gLgNPVzJLC27Zfb9N1sCCWZZgPKzOSllPUrhwIbAW8F/kiJTJxLkmgiIiJ6T2YgB447mopHKBGE0yhrN64JDKv7XwGuqtt3Ugo0gNuAMZL2BwY19XOD7SdsvwhcTiny2uv/Qcqi4SdJ+gjwbG07HbhA0meB9m6v/9r267bvYU5G9zbAJXX/P4Cb27v4JNFERET0nhSQA8fzjY1OIghf9ZzFQWdTZ6ltHwgcRSkG76yLkEPJom7m9vqvC4pvBowDDqTEHQLsQln/cXPKbGWrmfGXm7Z7f0n9iIiI6LLcwl50PQes0M537UYQtkfSurZvB26vcYZr1q8+JGkV4EXgE8DngTVa9S9pVeAV25dJug8YK2kxYE3bN0u6Ffg0sHwXr/E2YD9J5wKrAdsDv+zsoEQZRvck1jAiFnKJMoyusv2EpNskzaQUd481fd1ZBGErx0saRpn9uxGYBowA7gAuA94OjLU9WdKMdvpfAzinFo0A36TcDh9b860F/LzGKnblMi8DPkh5MegvwF3kX/uIiIg+lyjDmGeSRgEjbX+lH8fQiEF8C6WYfV99HrJdiTKMiIiBpC+iDDMDGQu7q+qb20sC3++seIyIiIieSwEZ88z2GGBMP49h+/48f0RExECUt7B7iaS31EW7p0r6h6S/Nn1esot9PFojCBeX9HTd9+66wPYS9fP6kv4saYX6+T2Sbq2LaU+RNFrSMpKOlXRY311xREREDFSZgewldRHuEQCSjgZm2f5JcxuVN0Nk+/Vu9Hu7pInA4cCPKdGER9p+TtIQ4CJgD9t31P73pItvMc/LeBYFiTKM7kqcYUTEm2UGso9JWq/G9F0A3A0MkfTZGuU3U9J/d6GbI4EvSzoSeM32JXX/IcAvbN8B4OIi2/+s328q6fc1/u/g7oynMQsq6ac1jvC6Ohva6O+jtd0yks6tx98labu6f1OVCMWpdQZ1nbr/P+t5Zko6pGlMMyWdL+l+SedJ+rBKdOEDkkbWdsurxBreUWdbP9bRuSIiIqJvZAZy/tgA2LcucfN2SjTgSMqSM/8raVfbV7V3cI0E/AlwYu2rYRPgjA7Ouz5lmZuVgD9KOr2r46Es9TMY+J3tr0n6LXB07W+zet5rgEOBl21vKmlj4Jq63M9BwE9sXyRpKcqE57uBfYAtKX/37pA0jrLM0Dsps6f3Upbjecn2eyV9ilJA706JU7zW9ihJK1PWpLyh1bna/iKUKMOIiIhekxnI+ePPNR8a4N3ATbb/ZftVysLX23Whj52Bx4ENu3Heq2y/Yvtx4EnKYtvdGc+Ltm+o2zOAcbZfq9tD6/5tgLEAtu8G/gasB/wBOErSf1IWCn+ptr3M9ou2nwN+DWxb+/mT7Xvq7fR7KGtN0uZcOwHfkjSVElu4NLBWO+d6k0QZRkRE9J4UkPPH8503aZ+k3YClgI8C/yOpETt4N7BFB4c2x/+9EUvYjfG80rT9elN/r9PJ7LXt84Hd6jHXNm5td3Gs7Z1LwCdsj6h/1rJ9/zycKyIiInogt7Dnv9uBn9SFr5+hRPf9pL3GkpajvDyzq+37JP2OkuDyXeAkYIKka+rtaFFu9Y7rq/G0cAvltvR4SRsCQ4A/SVrH9p+AEyWtDQyvbc+QdDwlgebjwF7dONd1lOc+DwOQ9C7bU9o51/j2OkmUYXRfAo4iYiHWB1GGmYGcz2w/CnybUuRNBSba7uiV4O8CF9u+r37+NrBvLZr+BnyGUjjdS7n1+wFgVh+Op62TgGVU4gsvoDxb+QrwmfryzVTKs5hj68s+FwKTKPGGp9me0Y1zHQMsV1/YuZvyTCatztWNPiMiIqKbEmUYA06iDCMiYiBRH0QZZgYyIiIiIrolBWREREREdEteohmgJA2lLPOzSZv944Ajmpb56Wp/o4CRtr/SZv/RtEjl6aSvWbaXl/Q24Oe2d+/OWDqTJJqYF0mjiYiYIwVkLLDqS0K9WjxGREREz+UW9sC2uKQLJP1R0qWSlm3+UtJpkibXN5yPadq/ZY0ZnFZjBVdoc9wukiZIWrXN/v1r5OA0SZc1zidp7dp+hqRjm9oPlTSzbg+SdHw9frqkL9X9QySNrzGGMyVtS0RERPSpFJAD2zuBU21vCDxLiQRs9q361tZw4P2ShktaErgI+KrtzYAdKVGEwBuLnh8JfNT2v9r0d7ntLetxfwS+UPefSFnSZ1Pg7+2M9QvAM7a3pEQh7l/XfPwMcJ3tEZSIxamtDpZ0QC2GJ89+IWv6RURE9ERuYQ9sf7F9W90eS8m1brZnzZBenLJA+EaAgb/bngRg+1mAsoY5H6Bkau/U2N/GJnWGcSVgecrC4ADvAz5Vt88HftTi2J2A4ZIat7QHA8Moa0qeLWkJ4Ne2WxaQtkcDowGWGjIsa1dFRET0QGYgB7a2hdQbn+vs3hHAB20PB66mZE935M/ACpTFvFsZA3ylzjQe06a/zoo6AYc0xRiubft62+Mp2d1/BcZI2reTfiIiIqKHMgM5sK0laWvbEyi3gm8FPla/W5GSmf2MpNWBnSlpNfcBQyRtaXtSff6xcQv7EeDrwOWS9rB9d5vzrQD8vc4W7kMp+gBuo0Qojq37W7kO+LKkm2y/Kmn9evyqwKO2z5S0FLA5cF5HF50ow5g3efQhIhZSiTKMXnYfcLCkPwIrA6c1vrA9DZgC3Av8klLkUWMK9wJOkjQNuIGmmUTb91KKwEskrdvmfN+mZG/fVvtt+GodxwxgjXbGehYlqvGu+mLNGZT/AdoemCZpSh3Xid37FURERER3JcowBpxEGUZExECSKMOIiIiI6HcpICMiIiKiW/ISzUJkXmMGF1SNyMIOvh8J7Gu77fJCPZIow5hXiTOMiChSQMYCqxbKi0SxHBERsSjJLewFgKRfS7qzRgYeUGP7xtRovhmSDm/TfrH6/bGS9pD007r/q5IerNvrSLqtbn9Q0pTa19l1uRskPSzphzUGcLKkzSVdJ+nPkg5sOt/XmyIEj6n7htYIxDPruK+XtEz9rruRhb+StEvT5zGSdpe0vaSr6r7lJZ1Tj50u6VN1/061z7skXSKp3RnNiIiI6B0pIBcMn7e9BSXF5VBgBLCG7U3qotvnNLVdHLgAeMD2UcAtQCP/eVvgCUlr1O3xkpamLOC9V+1rceDLTf39X40BvKW22x14D2WhbyTtREl82aqOawtJ29VjhwGn2N4YeJo5aTLdjSy8CNiznm9J4IOUhcubfZsSZbhpXdj8ppq1fRSwo+3NKbOVX2v1C06UYURERO9JAblgOLSuqTgRWBNYElhH0kmSPkLJqW44A5hp+wcAtv8BLF8X9F6TsmbjdpQC8hZK3vVDtu+vx59bv2+4sv6cAdxu+znb/wRelrQSJUJwJ8qakHcBG1AKR2q/jejAO4GhdXsTSbfUdR33ATau+98HXFi3z28aw++AHerM6M7AeNsv8mY7Aqc0Pth+ilLobgTcJmkqsB/wDlqwPdr2SNsjBy07uFWTiIiI6KIUkP1M0vaU4mjrOmM3BVgK2IyS/HIgZRHthj9Qiq2l2+z7HGVh8MaM5NbUxb878XL9+XrTduPz4pQIwR82RQiuZ/sXbY4FmM2cZ2rH0I3IQtsv1Wv9MGUx8Iu6MG7q2G5oGttGtr/Q6VERERHRI3mJpv8NBp6y/YKkDSizaqsCi9m+TNJ9lIi/hl9QZhAvlvRJ269Risbv1T9TgB2AF20/U48fKmk9238C/h34fTfGdx3wfUkX2J5Vb4+/2skx8xJZeBHwRcpt/FEt+rwBOBg4DEDSypQZ21Ma1yZpOcqt//tbHP+GRBnGvMvjDxGxEEqU4SLpWmDxGid4HKUoWgMYV2/LjgW+2XyA7Z9SCsXzJS1GKSDXpNz6nQ38hZJr3Zjd+xwlWnAGZWbx9K4Ozvb1lNviE+rxl1IKxI7MS2Th9cD7gf+tcYltHQusXF8smgbsUG+1jwIulDQdmEC5xR4RERF9KFGGMeAkyjAiIgaSRBlGRERERL9LARkRERER3ZKXaKJDksYAV9m+tIM22wOv2P5DD85zKGV9yrtst33BplclyjB6KpGGETHQpYCM3rA9MIuynNC8OoiyIPijzTslLV7fNI+IiIgFRG5hxxskfVvSfZJulXShpCPafP9wTX9B0khJ4yQNpaxVeXiNRNxW0mo1wnBS/fO+eszRNUpxnKQH66wjkk4H1gF+J+nw2u78GsV4vkq04/FNcYpfahrTXDGLERER0bcyAxkASNqSEkW4GbAEJXXmzs6Os/1wLQBn2f5J7euXwAm2b5W0FmUtyQ3rIRtQ1qlcAbhP0mm2D6yJOzvY/pekoykJM9vYflHSAZQYwy1rWs1tkq6nJOI0YhYFXClpO9vjW1zfAcABAINWXG2efkcRERFRpICMhvcBv6nrRr4k6bc96GtHYCPpjYVLV5S0fN2+2vbLlKjEx4HVgUdb9HFlU5zhTsBwSbvXz4MphWNzzCLA8nX/XAWk7dHAaIClhgzL2lURERE9kAIyuuM15jz2sHQH7RYD3lOL0TfUgrK9+MO2nm8+FDjE9nVt+vswJWbxjM6HHhEREb0lBWQ03AacIemHlL8Xu1Jn7Jo8DGwB/I5yu7vhOWDFps/XA4cAxwNIGmF7ag/Gdh3wZUk32X5V0vqUeMSWMYu2H++os0QZRs8l0jAiFiKJMoy+YnsScCUwnVIgzmDufyWPAU6UNJkye9jwW2C3xks0wKHAyPpiyz2Ul2x64izgHuAuSTOBM4DF5zFmMSIiInooUYbxBknL15m8ZSnPER5g+67+HldvS5RhREQMJH0RZZhb2NFstKSNKM83nrsoFo8RERHRcykgA0njgCNsdxqvUdd9vMr2Jn08rIiIiFhApYBcgKm8tizbr/f3WDrTG4kx8yt1JlGG0VOJMoyIgS4v0SxgJA2taTDnATNpellF0u41mxpJYySdLmmypPsl7dp0/C2S7qp/3lv3by/pqqa+TpY0qs25B9V+Z0qaIenwun8LSdMkTQMObmo/StKVkm4CbpS0vKQb63lnSPp4U9uWKTc1leZn9cWcr0r6mKTbJU2R9L+SVq/tlpd0Tu13uqRP1f07SZpQz3lJ03qTERER0UcyA7lgGgbsZ3uipFkdtBtKSWFZF7hZ0nrA48CHbL8kaRhwIdDVB2dHAGs0bk9LWqnuPwf4iu3xko5vc8zmwHDbT0paHNjN9rMqkYcTJV1Zz99Rys2SjYd7Ja1MWUPSkr4I/CfwH8C3KWk0mzba1XMcRcnQfl7SN4CvAd/r4vVGRETEPEgBuWB6xPbELrS7uN7efkDSg5SYwIeAkyWNoMxert+N8z4IrCPpJOBq4PpaRK7UFA94PrBz0zE32H6ybgv4b0nbAa8Da1CSZjpLubmoafvtwEWShgBL1uuBkm7z6UYj20/VWdeNKNGG1PYTWl1YogwjIiJ6T25hL5iaU1ia11lqm/7Sdg0mA4cDj1Fm+0ZSiip4c4pMq76w/VQ9bhxl7cazujnWfYDVgC1sj6jj6CixplUfJwEn15nGL3VyvCgF7Ij6ZyPbX2jV0PZo2yNtjxy07OAuDCkiIiLakxnIBd9jkjYE7gN2o6S+NOwh6VxgbWCd2mYw8Kjt1yXtBwyqbR+h5FMvBSwDfBC4tflE9ZbwK7Yvk3QfMNb205KelrSN7VspRWJ7BgOP17SYHYB31P1dSblp7uOvdXu/pv03UJ6/PKyOdWVgInCKpPVs/0nScpRb8Pd3MMYk0UQvSBJNRCxEkkQzIB0JXAX8Afh7m+/+D7iDkhxzYL1FfCqwX33hZQPq7J7tvwAXU17MuRiY0uJcawDjJE0FxgLfrPs/RynUplJm/dpzASWBZgawL3BvPXdXUm4ajgYukXQn8K+m/ccCK9cXfKYBO9j+JzAKuFDSdMrt6w06GF9ERET0giTRLKTq29hX2b60v8fSFQtSyk2SaCIiYiBJEk0szJJyExERsYhIAbmQsj2qv8fQHV1JuYmIiIiFQ56BjG6T9AlJlrRB0771JV0j6YG6qPfFkvaSNLX+mVUXEp9aF0mf13MfK+mw3rmSiIiImBeZgYx5sTflDe69ge9KWpqybuTXbP8WSvIN8K+6nE9z3vZcDx/OrwjDhkQZRm9InGFEDGSZgYxuqVGB2wBfYM7C3p8BJjSKRwDb42zP7KCfL0r6taSbgeskrSjppjp7Ob0RzVjbfkclrvFWSkpPY/8wSddJulPSeEndWTQ9IiIi5lFmIKO7Pg5ca/t+SU9I2gLYhDdHE3bVu4ARNVVmCeATNQbxrZS1I6+StBVzYhCXBKYyJ21mNPBF23+W9D7gZGCnHl1dREREdCoFZHTX3sCJdftX9fO8ur6m30BZX/I4SdtQYhDXrAubbwdcZvtF4MVGDGKNWHwPcFmNMYQO/j4nyjAiIqL3pICMLpO0CvABYFNJpqTcGDgGeP88dNkcYbgvJYVmc9uvSXqUzmMM33jGsjO2R1PTb5YaMiyLn0ZERPRACsjojt2B821/qbFD0u+BPwHflLSL7avr/u2AJzt6DrKNRgzia5I+REnFgbLo+BmSfky5hb0r8PN62/vvknazfYWkxYBNbU/r7ESJMozekTjDiFhIJMow+tnewBVt9l1GeZlmV+CQuozPPcBBwD+70ff5wHtrDOKngQcAbN9Rzzmd8qb3HU3HfBo4sEYb3l3HEBEREX0sUYYx4CTKMCIiBpK+iDLMDGREREREdEsKyIiIiIjolhSQfUzS7Brfd7ekaZL+o77w0dExQyXNrNsjJf28q+1bfDdK0tuaPm9bxzJV0jId9DlO0si6/XBdUqdbmvvoxjGzequviIiI6Bt5C7vvvdgU5/dW4JfAisB3u3Jwjf7ryQN7o4CZwN/q532AH9oe24M+F2qJMozekCjDiBjIMgM5H9l+nLKY9VdUDJJ0vKRJNb7vS22PkbS9pKvq9mqSbqgziGdJeqRpZnCQpDPrd9dLWkbS7sBI4II643gIsCfwfUkXNPdd+z9Z0qj2xi/pe5IOa/r8A0lfrdvfkDSjzrIe13TYHpLuqFGE29a2oySd3NTPVTU7u/H5hHodN0pqXvX73+t1zJS0laTF6lvfq9XjFpP0pzbHRERERC9LATmf2X6QsgD3Wyl50s/Y3hLYEthf0todHP5d4CbbGwOXAms1fTcMOKV+9zTwKduXUmYv97E9wvZJwJXA123vMw/DP5uy4Df1NvyngbGSdqZEHL7b9mbAj5uOWdz2VsBhdG3WdTlgcr2O37c5Ztk6m3sQcLbt14GxlFlVgB2Baba7s3xQREREdFMKyP61E7CvpKnA7cBbKIVge7ahxAdi+1rgqabvHrI9tW7fCQzt7cHafhh4QtK7KGOfYvsJSuF2ju0Xarsnmw67vJtjeh24qG6PpVxzw4W1//HAijXO8I2iFvg8cE6rTiUdIGmypMmzX8gC0BERET2RZyDnM0nrALOBxylxfIfYvq5Nm6Hz0PXLTduzgXZfkGnyGm/+n4iOogMbzqI8V/n/KMVbV8c1mzl/37pzXrezDWDbf5H0mKQPAFsxZzaybcNEGUZERPSSFJDzUX0273TgZNuWdB3wZUk32X5V0vrAXzvo4jbKM4w/krQTsHIXTvscsEI73z0CbCRpKUrB+UHg1k76uwL4HrAE0HiL4AbgO5IusP2CpFXazEK29TBwUL0Nvgal8GtYjBKZ+Kvaf/N49gJulrQN5dZ/YyrxLMps5fm2Z3cy/kQZRi/JTHZELCT6IMowBWTfW6beol6CMvN2PvDT+t1ZlNu6d0kSJfrvEx30dQxwoaR/ByYA/6AUiMt3cMwY4HRJLwJbN39RZ+8upryl/RAwpbOLsf2KpJuBpxvFmu1rJY0AJkt6BbgG+K8Ourmtnu8e4I/AXU3fPQ9sJekoyiztXk3fvSRpCuV3+fmm/VdSbl23vH0dERERvStRhguROlM42/ZrkrYGTmssETQfx7AYpeDbw/YD8/Pc7anrQ55ge9uutE+UYUREDCR9EWWYGciFy1rAxbWIewXYf36eXNJGwFXAFQtQ8Xgk8GXaefYxIiIiel8KyIVILdre1Y/nvwdYp7/O34rt44DjOm0YERERvSbL+MR81xTvOFPSb+tyPM3fHybpJUmD6+cP1/ZTJc2SdF/dPk/SsnVR9Bm1v1sldfRMaERERPRQZiCjPzTHO54LHAz8oOn7vYFJwCcp60teB1xX248DjqgRj0j6JvCY7U3r53cCr3Z08kQZRm9LrGFEDDSZgYz+NoGylA8AktalvFV+FKWQ7MwQmpY+sn2f7Zc7aB8RERE9lAIy+o2kQZS1J69s2v1pyhqQtwDvlLR6J92cDXxD0gRJx0pqmeSTJJqIiIjekwIy+kNjbcx/AKtTFiJv2Bv4Vc25vgzYo6OOanzjOsDxwCrAJEkbtmg32vZI2yMHLTu4ly4jIiJiYEoBGf2h8QzkOyhxjgcDSNqUkgV+g6SHKbORnd7Gtj3L9uW2D6Ik0ny0rwYeEREReYkm+lGNPTwU+LWkUynF4tG2f9hoI+khSe+w/UirPiS9D7jH9lOSlgQ2AsZ1dN5EGUbvy2MREbEA64Mow8xARr+yPQWYTikeP03J2m52Rd3fnnWB30uaQYlinEy59R0RERF9JFGGMeAkyjAiIgaSvogyzAxkRERERHRLCsiIiIiI6JYUkNHv2kQbXiJp2U7a/9f8GltERETMLc9ARr+TNMv28nX7AuBO2z/tSvt5sdSQYR6y38/m9fCIuSTKMCIWZDrm2TwDGYu8W4D1ACR9VtIddXbyDEmDJB1HXYhc0gWSlpN0taRpdQZzr/4dfkRExKIvBWQsMCQtDuwMzKhpMnsB76uLjs8G9rF9JHUhctv7AB8B/mZ7M9ubANe203eiDCMiInpJCshYEDSiDScD/wf8gpKRvQUlmnBq/bxOi2NnAB+S9CNJ29puWR0myjAiIqL3JIkmFgSNaMM3SBJwru1vdnSg7fslbU6JLzxW0o22v9eHY42IiBjw8hJN9LtWL8VI2gj4DeUW9uOSVgFWsP2IpKeAt9p+VdLbgCdtvyRpV+CLtj/R0fmykHhERAwkfbGQeGYgY4Fk+x5JRwHXS1oMeBU4GHgEGA1Ml3QXcB5wvKTXa5sv99eYIyIiBorMQMaAkxnIiIgYSBJlGBERERH9LgVkRERERHRLnoFcAEg6C/ip7Xt62M8s28tL2h44wvauvTLAno3pGuAztp/uxjEHAi/YPq+d77cHXrH9h3kZ04y/PsPQI6+el0Mj2pU0mogYSFJAzid1WRrZfr3td7a/2A9D6jWSFrf9WqvvbH+0u/3ZPr2TJtsDs4B5KiAjIiKiZ3ILuw9JGirpPknnATOBX9Q0lLslHdPUbpykkTWqb0yN5Jsh6fD6/bqSrpV0p6RbJG1Q968taUJte2yb069YI/7uk3S6pMUkfV7Sz5rOu7+kE+o4/yjpzDq26yUt09RmUo0KvEzSsnX/mNrv7cCPJS0v6Zw6lumSPlXbPSxp1fYiByUdJ+meesxP6r6jJR1Rtw9t+v5XkoYCBwKH1zjDbSXtUfucJml89uz6iwAAHrJJREFU7/+XjIiIiGaZgex7w4D9bE+UtIrtJyUNAm6UNNz29Ka2I4A1aiQfklaq+0cDB9p+QNK7gVOBDwAnAqfZPk/SwW3OuxWwEWXZm2uBTwIXA9+S9HXbrwKfA77UNM69be8v6WLgU8BY4HLbZ9bxHAt8ATipHvN24L22Z0v6EfCM7U1r25XbjKcRObhL/X6wpLcAuwEb2HbT9TY7Eljb9suSVrL9tKTTgVm2GwXnDODDtv/aTh9IOgA4AGDQiqu1ahIRERFdlBnIvveI7Yl1e8+6duEUYGNKgdfsQWAdSSdJ+gjwrKTlgfcCl9RIvzOAIbX9+4AL6/b5bfq6w/aDtmfXNtvYngXcBOxaZzGXsD2jtn/I9tS6fScwtG5vUmc9ZwD71HE3XFL7B9gROKXxhe2n2oynVeTgM8BLlJnZTwIvtP3lAdOBCyR9Fmh5mxy4DRgjaX9gUKsGiTKMiIjoPSkg+97zUG43A0cAH7Q9HLgaWLq5YS26NgPGUW7TnkX5b/S07RFNfzZsPqyd87bd3/h8FjCKMvt4TtP3Lzdtz2bO7PQY4Ct1ZvGYNmN+vp1zzz0Y+35gc0oheayk79TnJrcCLgV2pcyUtrULpTDdnJKLPdesue0DgaOANYE768xmRERE9JHcwp5/VqQUXM9IWh3YmVIovkHSqpS3iy+TdB8w1vazkh6StIftS+rLOMNtT6PMvH2acqt5nzbn26oWrY8Ae1Fug2P7dklrUgqy4V0Y9wrA3yUtUc/x13ba3UBJijmsXsvKzbOQmhM5OFbS08AX6+zqsravkXQbZQa2+fexGLCm7Zsl3VqvdXngufr7bLRb1/btwO2SdqYUkk+0d0GbrjGYycft0oVLj+iOZ/p7ABERrR2jXu8yBeR8YnuapCnAvcBfKMVfW2sA59TCCeCb9ec+wGkq0X5LAL8CpgFfBX4p6RuU3Ohmk4CTgfWAm4Ermr67GBjR4jZzK98Gbgf+WX+u0E67Y4FTJM2kzGAeA1ze9P2mzB05uALwG0lLAwK+1qbPQcBYSYPr9z+vz0D+FrhU0seBQygv1AyrbW6k/G4iIiKijyTKcACSdBVwgu0b+3ss/SFRhhERMZAoUYbRE5JWknQ/8OJALR4jIiKi53ILewCpaTDr9/c4IiIiYuGWAjIWWJqHGMSuSJRh9IdEHUbEoiQFZPQr9XIMYkRERPS9PAMZPdZeFKJqRGNts6qkh+v2KElXSrqJksgzRNL4Gk04U9K2tV0jBrGjqMUta8zhVEnH17fAIyIiog+lgIzeMgw4xfbGwNOUKMSObA7sbvv9wGeA62yPoCykPrVF+/b6Pwf4Uj12dovjgBJlqJJDPnn2C1mvLyIioidSQEZvaS8KsT032H6ybk8CPifpaGBT2891pf+ae72C7Ql1/y/bO1miDCMiInpPCsjoLa2iEF9jzt+xpdu0fyMG0fZ4YDtKys0YSft2sf+IiIjoB/lHOPrSw8AWwB3A7u01kvQO4FHbZ0painJ7+7zOOq+pNM9JeneNMvx0VwaVKMPoH3l0IiL6SR9EGWYGMvrST4Av1wjHVTtotz3QiHrcCzixG+f4AnCmpKnAcuRf6YiIiD6XKMNYqEla3vasun0kMMT2Vzs6JlGGERExkPRFlGFuYcfCbhdJ36T8XX4EGNW/w4mIiFj05RZ29Jik2U1rOP62vh3dUfuh7a3X2Fj7scX+Axsv19R1JN8GYPsi2yNsb2J7F9v/7I1rioiIiPZlBjJ6w4t1HUYknQscDPygN09g+/Smj6OAmcDf5qWvRBlGf0qkYUQsCjIDGb1tArAGlOcTJd0o6S5JMyR9vKnd4pIuqAkzl0patum7/6zt75C0Xu3raElHSNodGAlcUGc9l5F0nKR7aiLNT+bblUZERAxQKSCj10gaBHwQuLLuegnYzfbmwA7A/0hqrCXwTuBU2xsCzwIHNXX1jO1NgZOBnzWfw/alwGRgnzrruSywG7Cx7eHAsX1ycREREfGGFJDRG5apy+j8A1gduKHuF/DfkqYD/0uZmVy9fvcX27fV7bHANk39Xdj0c+tOzv0MpVD9haRPAi+0apQow4iIiN6TAjJ6Q+MZyHdQisaD6/59gNWALer3jzEnkabt+lHuwvZcbL8GbAVcCuwKXNtOu0QZRkRE9JIUkNFrbL8AHAr8h6TFgcHA47ZflbQDpcBsWEtSY3bxM8CtTd/t1fRzAnN7DlgBynOWwGDb1wCHA5v11vVEREREa3kLO3qV7Sn1lvXewAXAbyXNoDy3eG9T0/uAgyWdDdwDnNb03cq1j5drP22NAU6X9CKwM/AbSUtTZj+/1tkYE2UY/SuPUETEfNYHUYZJookBJ0k0ERExkPRFEk1uYUdEREREt6SAjIiIiIhuSQE5wDTFDt4taZqk/5A0z38PJP3XPB53lqSNOmnzRnxhRERELDjyDOQAI2mW7eXr9luBXwK32f5uT/trs1+Uv1+v92jAfWCpIcM8ZL+fdd4woo8kzjAi5icd82yegYzeY/tx4ADgKyqWlnROjRGcUpfeQdKyki6ucYFXSLpd0khJx1EXEa+xhEMl3SfpPEpW9ZqSTqsLeN8t6ZjGuSWNkzSybs+S9IM6IzpR0up1/9GSjmhq/6Mab3i/pG07Gtt8/UVGREQMMCkgBzjbDwKDgLdSFgB3jRHcGzi3Lo9zEPCU7Y2AbwNb1GOPpC4ibnuf2uUwSkThxrYfAb5V/69nOPB+ScNbDGM5YKLtzYDxwP7tDHdx21sBhwGNGdOWY4uIiIi+kwIymm1DiRXE9r3AI8D6df+v6v6ZwPQO+njE9sSmz3tKuguYAmwMtHru8RXgqrp9JzC0nb4vb9GmS2NLlGFERETvSQE5wElaB5gNPN5LXT7f1PfawBHAB20PB65mTpRhs1c952Hc2bS/wP3LXWjTUqIMIyIiek+SaAYwSasBpwMn27akWyj51TdJWh9Yi5IYcxuwJ3BzfXN606ZuXpW0hO1XW5xiRUpB+Ux9rnFnYFwvX0ZHY2spSTTR/zILHhHzUR8k0aSAHHiWkTQVWAJ4DTgf+Gn97lTgtBo9+BowyvbLkk6lPA95DyWO8G7m/As4Gpheb1N/q/lEtqdJmlKP+Qul2OttHY0tIiIi+kCW8YlOSRoELGH7JUnrAv8LvNP2K/08tHkaW6IMIyJiIOmLKMPMQEZXLEu5RbwEIOCgBaF4rBbksUVERCySUkBGp2w/ByyQaysuyGOLiIhYVOUt7IiIiIjolsxAxoAz46/PMPTIq/t7GDGAJcowIhZ2KSCjX0j6HvCk7Z/Vzz+grEX5dspyPwaOtX2RpMWAk4EPUN7mfhU42/alkr4DfAxYBvgD8CXnzbCIiIg+lVvY0V/OBvYFqAXip4FHgRHAZsCOwPGShgCfpCTPbAT8O7B1Uz8n297S9iaUInLX+XUBEfH/27vzeK2qeo/jn6+gIJqQw/WlaOEAKi8HVBy4ohfUSE2FrhqRXsUGTb0o3pLqZqZZpnG7DmXmkCFIaOKEVCICohmTDB4GQb1KZoqg5YCSIvzuH2s9sDmd6YEzcM75vl+v53Wevfbae69nPft1zu+svfb+mVlr5QDSmkRELAXeknQw0I+U6rA3MCYi1kTEG8BU4LBcfl9ErI2IZcCUwq76SpqRn115LCld4j9xKkMzM7P64wDSmtIdwGDgXNKIZFkktSc9SPz0iDgAuJ2qUyU6laGZmVk98oPErclI2gqYT8qK0xXoD5wPnARsDzwDHAEcDZwDnArsBDwHnEd6aPgS0uXtNsB0YGxEXFnTcf0gcTMza038IHFrUSLiI0lTgLcjYo2kB0nzG58l3UQzLCKWSbofOA5YRLqJZg7wTkS8Lel2YAGwDJjVJB/EzMyslfEIpDWZfPPMHOCMiHihlrrbRsRKSTsAM4Gj8nzIsnkE0szMWhOPQFqLIak7MB54sLbgMRsvqROwFXD1xgaPZmZmtukcQFqTiIhFwJ5l1O/TcK0xMzOzcvgu7BZE0hpJ8yQ9K2mOpH/N5btKGrsJ+125EdsslTRfUoWkqZI+Xeb2gyX9vKb2FD+XpB6STiq3nWZmZlY+j0C2LKsiogeApM8CPwb+LSJeA05vjAZIEqC82Dci3pR0FXA58LX6PFalz9UD6An8vrbtnMrQNgdOZ2hmzZlHIFuu7YC/A0jqImlBfj9Y0sOSnpD0gqTvlzaQ9F+SFuTX0Mo7lLStpEl5dHO+pP6F/S+RNJJ0R/TulTadBnQu7OcsSTPzaOmtktrk8nMlPS9pJnBUof4ekqblY/6wUN4lt3Ur4AfAwLzPgZvaeWZmZlY9j0C2LFtLmkd6mPYupMwsVTkc2B/4AJgl6Xekx+acS3ruooAZkqZGxNzCdv8APh8R70raEZguaVxe1xU4JyKmA6SByHVOAB7K5fsBA0l3Ua+W9AvgTEkTgauAQ4F3SNlmSse+EbglIkZKuqjyh8mPA7oC6BkR/1nVB5Z0HunZkbTZbqdqusXMzMzqwgFky1K8hN0LGClp/yrqTYyIt3K9B0ipAoN0R/T7hfKjWR/EQQosr5F0DLCWNKq4c17351LwWDBF0vbASuB7uew4UpA4KweZWwPLSYHrExGxIh//XqBb3uYo4LT8fhRwXZ17JIuI24DbANrt0tXPrjIzM9sEvoTdQkXENGBHUuaWf1pdy3J1zsz7OzQHqm+wPnXg+1XU7wt8GphHGl2EFITeFRE98muf2jLHlNlGMzMza2AegWyhJO1LSu/3FtCh0urP5JHBVcAA4MukEcURkq4lBXmfB/6j0nYdgeX50nMpOKxRRHyc51OW5i9OAh6WdH1ELM/t+AQwA7gxPyj8XeAMUkYagKeBLwJ3k4LYqryX91OrAzp35JlrP1eXqmYN6J2mboCZtRZXqfY6ZfIIZMuydb6JZB5wL2lO4poq6s0E7gcqgPsj4pmImAOMyOtmAHdUmv8IMBroKWk+cDawuC6NiojXgTHARfn5j5cDj0mqACYCu+Q6V5JuuHmalO+65BLgonzczlRtCtDdN9GYmZk1PKcybGUkDaaGm01aA6cyNDOz1qQhUhl6BNLMzMzMyuI5kK1MRIwgXao2MzMz2ygegayD6lIE1rLNxZKekzS6Ho7fRVJIGlIo+3m+HF1abitpRb4Jprjt0ZIW5vbvJ2mj019IGpDbsW8NdUZI2qisN3n/3QvLP5B0/Mbsy8zMzBqORyDrpsoUgbVscyFwfES8WpcDSGobER/XUGU5cImkWyPioyrWfwZ4HjhD0ndi/eTWM4EfR8TdkvoAXwJ+U5c2VdGuQcAf88/vV7/VRhsAjAcWAUTEFQ1wDKcytM2KUxqaWXPkEcjyrUsRCCDpMkmzJFXknM9I+iWwJ/AHSZdK2l7SQ7nOdEkH5npXShol6WlglKQ2koYX9nd+4bgrSI/AOaeadg0iZWx5BeiV9/9V4AvA1Xkk9Frg6DwaeWl1x5PUR9JTOcvMoly2LemB418hPVKn9PmVR0OXSHoc+JfCuuMkzc0pCO+U1C6XL5X0k1w+U9LeeVT3VGB4bt9exdHMWvZ1ldanV6x2dNTMzMzqh0cg66bKFIGS+pFS+B1OenbiOEnHRMTXJZ0A9I2INyX9DJgbEQMkHQuMBHrkfXcHekfEKqV0e+9ExGE5QHpa0mOsf4j2daSg9M5i4yS1B44Hzgc6kYLJP0XEHZJ6A+MjYmwegfxmRJyct6vueACHAPtHxMt5uT/waEQ8L+ktSYdGxGzS8yL3yZ9jZ1LAeWdu0wjguLzNSOAC4Ia8v3ci4gBJZwM3RMTJOWAdHxFjc/uKn6+mfb0ZEYdIuhD4JvDVyl+gnMrQzMys3ngEsm5W5awp+5LyOo9Uim765ddcYA6wLymgrKw3KQUfETEZ2EHSdnnduIhYld/3A87OweoMYIfi/iLipVxe+ZrXycCUvJ/7gQGS2tThc9V0vJmF4BFSUHpPfn9PXgY4BhgTEWsi4jVgci7fB3g5Ip7Py3fluiVjCj971dLO2vb1QP45G+hS1Q4i4raI6BkRPdt06FjL4czMzKwmHoEsU0RMk1RKESjS/MJbN2GXxRSAAoZExIRiBUldCovXAGOBqYWyQUBvSUvz8g6kUdKJtRy7uuP1KbZLKVvMscABkoKU4SYkXVbL/msS1bzfGB/mn2vwOW1mZtbg/Me2TNowReAE8vzCiFgpqTOwOiKWV9rsKdLNLFfn4OzNiHi3dIm2YAJwgaTJOV1gN+CvxQoRsVjSIuAUYFYeyTwa2D0iPsxtPJcUVFYOICun+6v1eNnpwKiIWDcnU9LUfNwngfMl3UWa/9iXdJPOEqCLpL0j4kVSWsRi0DuQNCdzICn7TFXtK6ltX2VxKkPbvDiloZk1sAZIZegAsm5KcyAhjdqVUgQ+Jmk/YFoOBlcCZ5HumC66kjQvsAL4gOpvhLmDdAl2Tr5EvoJ0Z3JlPyJdNoc0B3FyKXjMHgZ+UrrRpKACWCPpWdKcwhvreLxBpPmXRffn8gtJo5OLSDfwTAOIiH/kQPY+SW2BWcAvC9t/MvfHh6y/HH4PcLuki0lBK3Xcl5mZmTUipzK0RpcvtfeMiDeb4vhOZWhmZq2JGiCVoQNIa3RNHUBKeo90Wdwazo5Ak3y/rYj7uHG4nxue+7jh7RMRVU0R22i+hG2NLiK6NHETltT3f2K2IUnPuI8blvu4cbifG577uOFJqvfLbn6Mj5mZmZmVxQGkmZmZmZXFAaS1Rrc1dQNaAfdxw3MfNw73c8NzHze8eu9j30RjZmZmZmXxCKSZmZmZlcUBpLVYkk6QtETSi5K+nctGS6qQdE2h3uWSqnqAulUiaXdJUyQtkrRQ0iW5fHtJEyW9kH9+Mpeflus9JWmHXLaXpHub8nM0B5LaSJoraXxe3kPSjHw+3ytpq1w+RNICSb8vlPWWdH1Ttn9zJ6mTpLGSFkt6TlIvn8f1S9Klud8WSBojqb3P400n6U5JyyUtKJRVd+5K0k25vyskHZLL95E0O5f1ymVtJT0uqUNd2uEA0lokSW2Am4ETge7AIEkHAqsi4kDgMEkdJe0CHBERDzVhc5uTj4FvRER34EjgIkndgW8DkyKiKzApLwMMAQ4DbgW+lMt+CFzeqK1uni4BnissXwdcHxF7A38HvpLLzwQOBP4EfDZnlfoecHUjtrU5uhF4NCL2BQ4i9bXP43qilNr3YtIzf/cnpQD+Ij6P68MI4IRKZdWduycCXfPrPOCWXH4+6XfMScA3c9kFwN0R8UFdGuEA0lqqw4EXI+KliPiIlCbxc6S0lFsAWwJrgB8A32+6ZjYvEfF6RMzJ798j/dHtDPQH7srV7mJ9Ssy1QDugA7Ba0tHAsoh4oVEb3sxI2o10vt6Rl0VKGTo2Vyn2sUjncwdgNSmd6h8i4m+N2ebmRFJH4BjgVwAR8VFEvI3P4/rWlvQ7ty2p717H5/Emi4gngcr9Ut252x8YGcl0oFMeOFlN6uvSOd0JOAUYWdd2+EHi1lJ1Bv5SWH4VOIKU73sOMArYG9iiFBBZeSR1AQ4GZgA7R8TredUyYOf8/sfA48BrpD8I95FGIaxmNwDDgFLmiB2AtyPi47z8KukcB/g5MB1YCDwNPAx8tvGa2iztQfpd8GtJBwGzSaMxPo/rSUT8VdL/AK8Aq4DHSP3s87hhVHfuVvW3sDPpCt1I0j9G55NGe6+JiLV1PaBHIK1ViYihEdEjIn5KujTyPUnflfRbSV9r6vY1F5K2Be4HhkbEu8V1kR7tEPn9xIg4NCJOIf0n/HugW557dntd59q0JpJOBpZHxOy61I+IURFxcEScBVwK3AScmPv4+jzibhtqCxwC3BIRBwPvs/6SH+DzeFPlOXj9ScH6rsA2/PNl13V8Htef4rlbQ51XIqJPRPQCPgB2A56TNCrPTe1W23H8hVhL9Vdg98LybrkMAEn9Sf8NbwvsFRFfAE73H4LaSdqSFDyOjogHcvEb+bII+efyStt0AAaT/uu9CjgH+CNp3pNt6CjgVKWc8feQLvndSLr0VLpqtMH5DCBpV+DwPJ/3G8BA4G3guEZqd3PyKvBqRMzIy2NJAaXP4/pzPPByRKyIiNXAA6Rz2+dxw6ju3K3xb2H2I9J83otJ02aGUYepXQ4graWaBXTNd/xtRbrcNA7WBUBDgZ8AW7P+P7U2wFZN0NZmI8/F+xXwXET8b2HVONIfU/LPhyttehlwU/5DUurztaT5N1YQEd+JiN1yzvgvApMj4kxgCnB6rlZVH18NXJHfu49rEBHLgL9I2icXHQcswudxfXoFOFJSh/x7o9THPo8bRnXn7jjg7Hw39pHAO4VL3Uj6N+C1PJ+3A6mv69bfEeGXXy3yRbq77Hng/4DvFsqHAoPzewFjgPnAdU3d5s39BfQm/UKvAObl10mkOXqTgBdIc8W2L2yzK/C7wvIZrJ/ntFNTf6bN+QX0Acbn93sCM4EXSXPw2hXqHQz8qrA8NPfxo8V6fm3Qtz2AZ/K5/BDwSZ/H9d7HVwGLgQWkeeftfB7XS7+OId2QtJo0mv6V6s7d/Dfu5vx3cD7prngK6yYW6u5HukegAjiqtnY4E42ZmZmZlcWXsM3MzMysLA4gzczMzKwsDiDNzMzMrCwOIM3MzMysLA4gzczMzKwsDiDNzOqJpJ0l/UbSS5JmS5om6fP1tO8+ksZv4j7WSJonaYGkR3L+25rqd5J0YWF5V0lja9qmjLYMl7RQ0vAq1p0o6RlJiyTNlfTT+jhmQ5E01EkIrLVxAGlmVg/yw5IfAp6MiD0j4lDSg8B3a6L2tK2ieFWkVJ77A38DLqplN52AdQFkRLwWEafXUL8c5wEHRsRlxUJJ+5PyIp8VEd2BnqRnBm7OhlLmg64ltWmgtpg1CgeQZmb141jgo4j4ZakgIv4cET+DFDDkUbdZkioknZ/L+0h6Iuf8XSxpdA5GkXRCLpsD/Htpv5K2kXSnpJl5hK5/Lh8saZykyaSHCtdkGtA5b7etpEmS5kiaX9ofcC2wVx61HC6pi6QFeZv2kn6d68+V1LfyAXL2i+F5xHO+pIG5fBwpjejsUlnBMOBHEbE49+GaiLglb9dF0uTcf5MkfSqXj5B0i6TpefS3T+6f5ySNKLRnZWHk83FJh+e+f0nSqRvzPUm6mPSQ8SmSpuS6/fLo8xxJ9ynljkfSUknX5e/zDEkX51HWCkn31PJ9mW1emvqJ6n755ZdfLeFFyiN7fQ3rzwMuz+/bkbKg7EHKNvMOaaRyC1Jg1xtoD/wF6ErKGPFb1meluYY0QgdplPB5YBtSnuZXKWRQqdSGlflnG1IWkBPycltgu/x+R9KIn4AuwILC9uuWSXmK78zv9yWlrmtf6XinkTJdtAF2znV2KbalijbOAQ6qZt0jwDn5/ZeBh/L7EaS84QL6A+8CB+T+nA30yPUCODG/fxB4DNgSOAiYtzHfU663FNix0H9PAtvk5W8BVxTqDSt8ntfIGVaATk19DvvlVzkvj0CamTUASTdLelbSrFzUj5STdh4wg5R6rGteNzMiXo2ItaT0kF1IQdnLEfFCRARwd2H3/YBv5309QQo2P5XXTYyIv1XTrK3zNstIAd3EUnOBayRVkNKgdc7ra9K71KZIo4V/BrpVUWdMpFHEN4CpwGG17LcmvYDf5Pej8v5LHsn9NB94IyLm5/5cSOpPgI9IafHI9aZGyms9v1Cn3O+psiOB7sDTeR/nAJ8urL+38L4CGC3pLODjunSA2eaiqjkyZmZWvoWkETcAIuIiSTuSRrAgBWlDImJCcSNJfYAPC0VrqP13s4DTImJJpX0dAbxfw3arIqJHvuFjAmkO5E3AmcBOwKERsVrSUlJQ2hQWAocCz5a5XakP17Jhf65lfX+uzkHmBvUiYm1hzuimfk8iBfGDqmln8fv5HHAMcArwXUkHRIQDSWsWPAJpZlY/JgPtJV1QKCveWDEBuEDSlgCSuknapob9LQa6SNorLxcDkgnAkMJcyYPLaWhEfEC65P6NHDh1BJbn4LEv60fM3gM+Uc1uniIFnkjqRhoBXVJFnYF5XuFOpGBpZi3NGw78d94nkraQ9PW87k+kG5PIx36q1g9bvnK/J9iwn6YDR0naO2+/TemzFEnaAtg9IqaQLnN3JM0LNWsWPAJpZlYPIiIkDQCulzQMWEEabfpWrnIH6ZLnnBz4rQAG1LC/f0g6D/idpA9IwVIpSLkauAGoyIHIy8DJZbZ3br5kPQgYDTwiaT5pxLR0A8tbkp7ON878Abi5sItfALfkbT4GBkfEh2zoQdJl52dJ8w+HRcSyWtpVIWkoMCaPlAZQenzREODXki4j9d+55XzmOirre8puAx6V9FpE9JU0OLe/XV5/OWmealEb4G5JHUmjljdFxNv19BnMGpzWj+abmZmZmdXOl7DNzMzMrCwOIM3MzMysLA4gzczMzKwsDiDNzMzMrCwOIM3MzMysLA4gzczMzKwsDiDNzMzMrCwOIM3MzMysLP8PUrZX9UwrFN0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7dd7f08ecb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_female = df[(df.male + df.female) > 1000][['male_ratio', 'female_ratio']]\n",
    "plot = df_female.sort_values('female_ratio', ascending=False).head(100)[::-1].plot(\n",
    "    kind='barh',\n",
    "    stacked=True,\n",
    "    figsize=(8, 20),\n",
    "    xlim=[0, 1],\n",
    "    title='Subreddit Gender Ratios of Predominantly Female Subreddits',\n",
    "    legend=True,\n",
    ")\n",
    "plot.xaxis.set_major_formatter(FuncFormatter('{0:.0%}'.format))\n",
    "plot.set_ylabel('Subreddit')\n",
    "plot.set_xlabel('Gender Ratio of Commenters')\n",
    "plot.legend(loc='upper left', bbox_to_anchor=(-0.42, 1.005), fontsize=12)\n",
    "plot.get_legend().get_texts()[0].set_text('Male')\n",
    "plot.get_legend().get_texts()[1].set_text('Female')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the gender ratio for the subreddits that are predominantly male. Only include subreddits that we have sampled at least 1000 users."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7dd7f0395dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_male = df[(df.male + df.female) > 1000][['male_ratio', 'female_ratio']]\n",
    "plot = df_male.sort_values('male_ratio', ascending=False).head(100)[::-1].plot(\n",
    "    kind='barh',\n",
    "    stacked=True,\n",
    "    figsize=(8, 20),\n",
    "    xlim=[0, 1],\n",
    "    title='Subreddit Gender Ratios of Predominantly Male Subreddits',\n",
    "    legend=True,\n",
    ")\n",
    "plot.xaxis.set_major_formatter(FuncFormatter('{0:.0%}'.format))\n",
    "plot.set_ylabel('Subreddit')\n",
    "plot.set_xlabel('Gender Ratio of Commenters')\n",
    "plot.legend(loc='upper left', bbox_to_anchor=(-0.38, 1.005), fontsize=12)\n",
    "plot.get_legend().get_texts()[0].set_text('Male')\n",
    "plot.get_legend().get_texts()[1].set_text('Female')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the total number of submitters and the number of users we actually sampled for each subreddit. Note that the number of male and female users barely even visible on the graph.\n",
    "\n",
    "Or data is somewhat terrible. This is okay if our sampled users are somehow actually a perfect random sample. That isn't especially likely though."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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IESubMB5rpubOndt9xIgRuZmOo6nl5+dHQUFBpsMwMzNrMpJmRkR+Y4ydNUsRzMzMzKx5c2JrZmZmZlnBia2ZmZmZZQUntmZmZmaWFZzYmpmZmVlWcGJrZmZmZlkhK16pa7arKiouIm9KXqbDMLM6FI4rzHQIZrYdXLG1ZknSZZLekvTHTMdiZmZmDcMV251wxRVX7Dl//vw2jz322IJMx2Lb7RLgqIj4IJNBDC0rp2DBYrihJJNhmJmZZYXtT2xv6HRgI8SRNn7JNr+yt0+fPnnFxcWtWrRosfn1aW+++eYbubm5mxonOMsGkv4XGAg8Kak/8N8RcVPS9gZwXNL1SeBl4BDgQ+CEiNgg6QXgNeAIoDNwfkS8JGk6cFlEzEnGehm4NCLmNt3VmZmZNV+7/FKEqVOnvldaWjq7+stJrW1NRFwELCWVmN5ST9fBwO0RMRRYA5yc1tYyIg4Cvg9cnxz7PXAugKR9gLa1JbWSxksqkFSworTuV1qbmZnZ9tnlE9va/OMf/9ht1KhR+3Xs2HHkvvvuO+Txxx/vWN120EEH7XvZZZftOWrUqP3at28/6sgjj9x7+fLlOccff/xeHTp0GDVs2LD933nnndbV/b/1rW/169Wr1/AOHTqMGjp06P5PPfVUhx2Z13ZJC6qrr8BMIDet7S+1HP8zcJykVsB5wD21DRoRkyMiPyLyl7cbRO7G+8mdOG3zl5mZme2YrEtsFyxY0Orkk08ePHHixGVr1qyZM2nSpA/GjBkzaOnSpZuXXTz66KNd77vvvgVLliyZt2jRojYHH3zw/uedd97K1atXzx48ePCGq6++es/qvqNHj14/Z86cotWrV88+5ZRTVo0ZM2ZQaWmpdmRe+1yq4LM/B23TtsvStiv57NKdsprHI6IUeBY4ATgN8I1pZmZmTWiXT2zPOuusvTt27DiyY8eOI4866qhBd911V7fDDz+85PTTTy/JycnhpJNO+mTYsGHrH3744U7V55x55pkrhw4dWtatW7fKI488sqR///5lJ5544tpWrVpx6qmnrn7jjTfaV/e95JJLVvXq1auyVatW/OhHP/qovLxcc+fObVszjm2Z1z6XFgIHAEg6ANhrJ8e7C/gN8HpErN7JsczMzGw77PLVxPvvv//9E088cW31/pgxY/o/+eSTXTp27Lg5oayoqNBhhx22uc8ee+xRUb3drl27qh49emxel9u+ffuq0tLSzQn/ddddt8d9993XfcWKFa0A1q9fn/Pxxx9v8bktWrSo9dbmtc+lh4GxkopI3RD27s4MFhEzJX0C3L0t/fP6dKJg0rE7M6WZmZkldvnEtqZ+/fqVn3TSScVTp05dtLNjPfXUUx1uu+22Xk899dS7Bx544IacnBx23333kRFb3vDTkPNa44uI3LTdr9XRbVha/5vStg9P215J2tpbSXuS+kvIMw0TqZmZmW2rXX4pQk3nn39+8d///vfODz/88O4VFRWUlpbq8ccf7zh//vxW2ztWSUlJTsuWLaNXr16bNm3apAkTJvRev359TmPPa7smSWNJVX2vjoiqTMdjZmbW3OzAc2y3/TmzmbD33ntvevDBB9//4Q9/2Pe8884b2KJFixgxYsT6O++8c/H2jnXyySeXPPTQQ58MGTIkr127dpUXXnjhR7169Spv7Hlt1xQR/wf8X6bjMDMza65U25/Vq82dO3fhiBEjVjZhPNZMzZ07t/uIESNyMx1HU8vPz4+CgoJMh2FmZtZkJM2MiPzGGDvrliKYmZmZWfPkxNbMzMzMsoITWzMzMzPLCln3uC+zXUlRcRF5U/IyHYaZAYXjCjMdgpntJFdszbaDpLskDcl0HGZmZrYlV2zNtkNEfDvTMZiZmVntnNia1UJSLvAUMBM4ACgCxgJPABMiokDS0cDPgBxgZUR8VdJXgF8nwwRwWETU+VrloWXlFCxYDDeUNNq1mJmZNRdObM3qti9wfkTMkPQH4JLqBkk9gDtJJa4LJHVNmiYAlybndAA21hxU0nhgPED/TmrsazAzM2s2vMZ2G5SWlkrSgX49brOzJCJmJNv3AYemtR0MTI+IBQARsSo5PgO4WdJlQOeIqKg5aERMjoj8iMjv0d6JrZmZWUPZ7opt3pS8AxsjkGqF4wq36ZW97du3H1W9vXHjxhatW7eOFi1aBMCvfvWrRRdffPGqus596KGHdr/iiiv6L168+I2djzhl6tSpnX75y1/2euutt9q3bdu2ap999tlwxRVXLD/ttNM+aag5mtpxxx03cMiQIRtuvPHGZZmOJUNqvpav7tf0VXeImCRpGnAMMEPS1yPi7br6F8ZAcjfeChOnbT62cNKxOxqvmZlZs7bLVmxLS0tnV3/17t27fOrUqe9V79eX1DaGO+64o+sFF1yw17nnnrvygw8+mPvxxx/Pveqqq5Y9+uijnZsyjs+bTZs2ZTqEndVf0heT7bOAl9PaXgUOk7QXQPVSBEmDIqIwIn4BvA7s15QBm5mZNWe7bGK7NevWrdM555zTv0ePHsP32GOP4RdeeGHfsrIyLV++PGfMmDF7f/DBB23at28/qn379qOWL1+e88wzz+w2fPjw/Tp27DiyZ8+ew88///x+25KYbdq0iWuvvbbfxIkTl373u98t7tq1a1XLli054YQT1t5///2LASoqKrj88sv37N27d163bt1GnHrqqbmrV69uATB79uy2LVu2PPCWW27p3rNnz+GdO3ceeeutt3Z79tlndxs8ePDQjh07jvz2t7/dt3q+G2+8scfBBx+8z9ixY/t37Nhx5IABA4ZNnz69/U033dS9Z8+ew7t16zZi8uTJXdI/h/POO69fr169hnfv3n3EuHHj+m3YsEGQqlz3799/2MSJE3t16dJlRM+ePYffcccdXQF+8pOf9Hzqqac633rrrb3bt28/6hvf+MZAgPfff7/VV7/61UFdunQZ0bdv37wbb7yxR/Vcl1xySZ9vfvObex177LEDd9ttt1F33nln12eeeWa3/ffff0iHDh1Gde/efcSll17ap4H+EzeFd4BLJb0FdAHuqG6IiBWk1sn+RdJc4IGk6fuS3pA0D9gEPFnfBHl9OrFw0rGf+TIzM7Mdk7WJ7YQJE/q8+eab7ebNm/dmQUHBmzNmzOh43XXX7dGrV6/K++677/2+ffuWVVd4e/XqVdmqVav47W9/u3j16tVznn/++XeeffbZTrfcckuPrc3z+uuvtysuLm45ZsyY1XX1uemmm3o89thjXV588cV33nvvvcKVK1e2vPjii/tVt1dWVjJv3rx2ixYtKrz99tsXXHXVVf1vuummXtOnT39n1qxZbz744IPdn3vuud2q+xcUFHQ45JBD1q1evXrO0UcfveaMM84Y9NZbb7VbvHhx4W9+85uFEyZMGFBaWiqACy+8sN/SpUtbvfHGG0XvvPPOG/Pnz297zTXX9Koea+nSpa0jguXLl8+76aabFk+YMGFASUlJi2uuuebjo48+es33v//9ZaWlpbOffPLJf1dUVHDMMccMPvjgg9cvW7Zs3hNPPPHuLbfc0mvatGkdqsd7+umnu4wdO7b4k08+mT127NjV3/ve9wZceeWVy9atWzf7vffeKzz55JPX7Mh/zwypiIgxEbF/RJwcEaURcXhEFABExJMRMSoiRkTEfyTHvhsRwyJieEScGRFlmb0EMzOz5iNrE9u//OUvXa+//vqlvXv3rujXr1/FxIkTlz344IPd6up/xBFHlH7lK18pbdmyJUOHDi0bM2bMypdeeqlDXf2rrVixoqUk+vbtW2d598EHH+x22WWXLd9nn33Ku3btWvWzn/3sw8cee6xrVVXV5j4///nPl7Zr1y7OPvvsEoBzzjmnuHfv3hWDBw8uP+CAA9YVFBS0r+47cODAjRdddNGqli1bctZZZ61atmxZ6xtvvHFp27Zt4+yzzy7ZtGmT3nnnnTabNm3iwQcf7H7HHXcs6d69e2W3bt0qf/jDHy5/5JFHqu/gp127dlU/+9nPlrdp0ybGjh27RhJFRUVtaruOp59+ukNZWVmLn/70p8vbtm0bw4cPLzvjjDOK77///s3jjR49eu3pp59ekpOTQ4cOHaJly5bxzjvvtFm+fHlOly5dqo488sj1W/tMzczMzHZEVj7uq6qqiuLi4laDBg0qrz42cODAso8//rh1XefMnDmz7eWXX96vqKiofVlZWYvKykpGjRq1bmtz9ejRoyIi+OCDD1oNGDCg1uT2o48+arXXXnttjmXw4MHlGzdubPHxxx/nAOTk5NCrV6/K6va2bdtW9e7de1P6/rp16zb/EtK9e/fNd9q3b9++qnXr1tGtW7fPnL927doWCxcubF1RUaHhw4cPTY8nJydn83aXLl0q0veTc3OoxYIFC9p8+OGHrTt27Diy+lhVVZUOOeSQzTfI9enTpzz9nClTpiy49tpr99xvv/3y+vfvv/H6669fevLJJ3/ub6iLiIXAsEzHYWZmZtsuKyu2LVq0oFu3bpvmz5+/OZFdsGBB6549e5YDSFs+YumCCy7IHTFiROm///3vwnXr1s2+/PLLlwFbfRbT6NGjN3Tr1q3ij3/8Y503iu2xxx6bFixYsDmW+fPnt27btm1Vz549K+s6pyH0799/U05OTrz33nuFa9eunVP9tWbNmjnbcr6kzzwFYMCAAeUDBw7cmD7W+vXrZz/77LPz0875zBgHHHDAxmnTpv175cqVcy6++OKPx4wZM2jjxo1+xpWZmZk1uKxMbAFOPPHEVf/93/+95/Lly3M+/PDDlr/4xS96n3rqqasAevfuvWnVqlWtSkpKNl//unXrWnTq1KmiU6dOVQUFBW3vvffe7tsyT6tWrfjxj3+85Oc//3mf22+/vevq1atbVFZWMm3atA5jxozpD3DKKacU//a3v+313nvvtV69enWLq666qs/xxx+/qkWLxv3427RpE6eddlrxhRde2H/ZsmUtq6qqeP/991s98sgju2/L+T169KhYsGDB5mUJX/va19YB/PjHP+5ZWlqqTZs28dprr7V7+eWX29c1xm233dZt+fLlOS1btqRz586Vkmr9xcLMzMxsZ233UoRtfc5spv3qV79aetFFF/UdNmzYsBYtWsTxxx+/6sc//vFygIMPPnjDV7/61TUDBgwYXllZyfvvv1/4y1/+csn3vve9ATfffPOew4YNKz3hhBNWz5o1a7etzQNwySWXrOrSpUvlL3/5y95XXnnlgOrn2F555ZXLAX7wgx+sWL58eatDDz10v02bNumII44oueOOO5Y05vVXmzx58uIJEyb0yc/P37+kpKRlr169yi+44IKPt+XcSy+9dMWZZ545sGPHjiO/8pWvfPL444//+4knnnjvsssu69evX7/emzZt0t57773xpz/96Qd1jfHEE090uvbaa/uWl5e36NOnT9ndd9/97zZt2mz1ebBmZmZm20sRdecYc+fOXThixIiVTRiPNVNz587tPmLEiNxMx9HU8vPzo6CgINNhmJmZNRlJMyMivzHGzsqbx8x2FUXFReRNyct0GNYMFY4rzHQIZmYNLmvX2Jo1JElPSGrWb5IzMzP7vHPF1mwbRMQxmY7BzMzM6re1xLaqqqpKLVq08M0+1miSdd5VW+u3rSRdC4wBVgBLgJlACalX4LYG3gfOiYhSSfcAG4BRQE/gPGAs8EXgtYg4NxlzIZAPdCD1mtyXgUOAD4ETImKDpNHA75NreRb4RkTU+yzcoWXlFPhPwmZmZg2i3qUIkpZv2LChbVMFY81TeXl5K0klDTFWklyeDIwAvkEqGQX4S0SMjogRwFvA+WmndSGVyF4O/BW4BRgK5EkayZYGA7dHxFBgTTIfwN3AhRExEqjzGcWSxksqkFSwotS/M5qZmTWUehPbioqKHy1cuLD1+vXr21VVVfnho9bgqqqqtHTp0g6VlZX3NNCQXwIei4iNEbEW+FtyfJiklyQVAmeTSlyr/S1SZeNC4KOIKIyIKqAIyK1ljgURUf2Si5lAbrL+tmNEvJIcv7+uACNickTkR0R+j/b+sTIzM2so9S5FOOCAA56eNWvWd+bPn399RPTCN5tZw6sEXq6qqrqjkee5BzgxIuZKOhc4PK2tLPlelbZdvV/bru9jAAAgAElEQVTbz0h6n0qg3Y4GVRgDyZ04bfP+wknH7uhQZmZmzd5Wbx474IADngaeboJYzBrCDOB3kn5O6t/3ccBkoCOwTFIrUhXbDxty0ohYI2mtpC9ExGvAGQ05vpmZmW2dn4pgWSUiXpf0V2Ae8BGp5QUlwLXAa6RuKHuNVKLb0M4H7pRUBbyYzGtmZmZNpN43j5ntiiR1iIh1ktoD04HxETGrqeZNticCvSPie/Wd4zePmZlZc+M3j5ltn8mShgBtgSlNkdQmjpV0Famfq0XAuU00r5mZmeHE1rJQRJyVoXkfAB7IxNxmZmbmpxyYmZmZWZZwYmtmZmZmWcGJrZmZmZllBSe2ZmZmZpYVnNiamZmZWVbwUxHMMqiouIi8KXmZDsOagcJxhZkOwcys0blia82SpD0lPVRH2wuSGuXB0WZmZtZ4XLG1ZikilgKnZDqOoWXlFLiSZmZm1iBcsbWsJ2mSpEvT9m+QNEHSG8l+O0lTJb0l6RGgXVrfr0l6RdIsSX+W1CE5/lVJsyUVSvqDpDZpc70paZ6km5r4Us3MzJo1J7bWHDwAnJa2fxrwWtr+xUBpROwPXA8cCCCpO3ANcFREHAAUAFdIagvcA5weEXmk/vJxsaRuwEnA0IgYDvyktmAkjZdUIKlgRWk04GWamZk1b16KYFkvImZL6ilpT6AHsBpYktblMOA3Sd95kuYlxw8GhgAzJAG0Bl4B9gUWRMS7Sb8pwKXAbcBG4PeSHgceryOeycBkgDa9B0fuxGmb2xZOOnanr9fMzKy5cmJrzcWfSa2p7UWqgrstBDwbEWd+5qA0orbOEVEh6SDgq8lc3wGO3OGIzczMbLt4KYI1Fw8AZ5BKOP9co206cBaApGHA8OT4q8CXJO2dtO0maR/gHSC3+jhwDvBisv62U0Q8AVwO1JoAm5mZWeNwxdaahYgoktQR+DAilknKTWu+A7hb0lvAW8DM5JwVks4F/lR9cxhwTUS8K+lbwJ8ltQReB/4X6Ao8lqzBFXDF1uLK69OJAi8/MDMzaxCK8M0rZpmSn58fBQUFmQ7DzMysyUiaGRGN8rx4L0UwMzMzs6zgxNbMzMzMsoITWzMzMzPLCk5szczMzCwrOLE1MzMzs6zgxNbMzMzMsoKfY2uWQUXFReRNyct0GJbFCscVZjoEM7Mm44qtNWuS1tXY/76kjZI67eB4LSWtkDSpYSI0MzOzbeXE1uyzziT1JrH/t4Pn/wfwLnCqJDVYVGZmZrZVXopglpA0COgAXAJcDdydHD8XOBHYDRgM3AS0Bs4ByoBjImJVMsyZwK+Bi4EvAv+sb86hZeUULFgMN5Q09OWYmZk1O67Ymn3qDGAq8BKwr6Q90tqGkarijgZ+CpRGxCjgFWAsgKS2wFHA34A/kUpytyBpvKQCSQUrSv1KazMzs4bixNbsU2cCUyOiCngYODWt7fmIWBsRK4ASUskrQCGQm2wfl/TbkJx/oqScmpNExOSIyI+I/OXtBpG78X5yJ04jd+K0RrosMzOz5sFLEcwASXmklhk8myyNbQ0sAG5LupSlda9K26/i05+jM4FDJS1M9rsBRwLPNlrgZmZmtpkrtmYpZwI3RERu8rUnsKekAdtysqTdgS8D/avHAC6ljuUIZmZm1vBcsTVLOQM4psaxR5LjH23D+ScBz0VEemX3MeBGSW1qHN8sr08nCiYduyPxmpmZWQ2K8M0rZpmSn58fBQUFmQ7DzMysyUiaGRH5jTG2lyKYmZmZWVZwYmtmZmZmWcGJrZmZmZllBSe2ZmZmZpYVnNiamZmZWVZwYmtmZmZmWcHPsTXLoKLiIvKm5GU6DNuFFY4rzHQIZmafG67YWoOS1FnSJdt5zj2STtnB+e6SNCTZXiip+46M09B25prMzMxsxzixtYbWGdiuxHZnRMS3I+LNhhxTUk5DjmdmZmZNw0sRrKFNAgZJmgM8mxz7BhDATyLiAUkCfgv8B7AEKK8+WdJ1wDeBdsA/gQuBgcCfI+KApM9g4IGIOEDSC8CEiPjM67skjQEuA1oDrwGXRESlpDuA0cn4D0XE9Un/hcADSUw3SrooOe8IUsn6+RHxUpL0TgIOB9oAt0fE7+q7pvoMLSunYMFiuKFkW7qbmZlZPVyxtYY2EZgfESOBV4GRwAjgKOCXknoDJwH7AkOAscAhaeffFhGjI2IYqeTzuIiYD5RIGpn0+RZwd10BSNofOB34UhJHJXB20nx18hq/4cBXJA1PO7U4Ig6IiKnJfsuIOAj4PnB9cux8oCQiRpNKkC+QtNdWrqlmfOMlFUgqWFHqV1qbmZk1FCe21pgOBf4UEZUR8RHwIqlk8LC040uB59LOOULSa5IKgSOBocnxu4BvJRXT04H765n3q8CBwOtJ5firpKq+AKdJmgXMTsYeknbeAzXG+UvyfSaQm2x/DRibjPsa0A0YvJVr+oyImBwR+RGR36O96rkMMzMz2x5eimCfG5LaAv8D5EfEEkk3AG2T5odJVU2fA2ZGRHF9QwFTIuKqGuPvBUwARkfEakn3pI0PsL7GOGXJ90o+/VkR8N2IeLrG2Mds/Qq3VBgDyd14K0ycBsDCScfuyDBmZmaGK7bW8NYCHZPtl4DTJeVI6kGqqvkvYHra8d6k1rHCp0nmSkkdgM1PFYiIjcDTwB3Uswwh8Q/gFEk9ASR1lTQA2J1U8loiaQ9Sa3+319PAxZJaJWPvI2m3eq7JzMzMmogrttagIqJY0gxJbwBPAvOAuaRuHvtBRCyX9AipZQZvAouBV5Jz10i6E3gDWA68XmP4P5Jay/rMVmJ4U9I1wDOSWgCbgEsj4lVJs4G3Sd3gNWMHLvEuUssSZiU3jK0ATgRqvaatyevTiQJXac3MzBqEInzziu0aJE0AOkXEtZmOpaHk5+dHQUHB1juamZllCUkzkxu5G5wrtrZLSKq8g0hVRc3MzMy24MTWdgkRcVKmYzAzM7PPN988ZmZmZmZZwYmtmZmZmWUFJ7ZmZmZmlhWc2JqZmZlZVnBia2ZmZmZZwU9FMMugouIi8qbkZToM+xwoHFeY6RDMzHZ5rtiapZF0i6Tvp+0/LemutP2HJX0iaY6kVZIWJNt/l5QraUOyX/3VOjNXYmZm1vy4Ymv2WTOA04Bbk9fxdgd2T2vfE/ha8nree4DHI+IhAEm5wPyIGLmtkw0tK6dgwWK4oaSBwjczM2u+XLE1+6x/Al9MtocCbwBrJXWR1AbYH5iVqeDMzMysbq7YmqWJiKWSKiT1Bw4BXgH6kEp2S4DCiCivZ4hBkuYk2zMi4tKaHSSNB8YD9O+kBo3fzMysOXNia7alf5JKag8BbiaV2B5CKrGdsZVzt7oUISImA5MB2vQeHLkbb4WJ0wBYOOnYnYvczMysGfNSBLMtzSCVyOaRWorwKqmK7SGkkl4zMzP7HHJia7alfwLHAasiojIiVgGdSSW3TmzNzMw+p7wUwWxLhaSehnB/jWMdImJlQ06U16cTBV5+YGZm1iCc2JrVEBGVfPYRX0TEubX0O7fG/kJgWCOGZmZmZvXwUgQzMzMzywpObM3MzMwsKzixNTMzM7Os4MTWzMzMzLKCE1szMzMzywpObM3MzMwsK/hxX2YZVFRcRN6UvEyHYU2kcFxhpkMwM8tqrtiamZmZWVZwYmtmZmZmWcFLEcxqkPQo0A9oC/waWA18MSKukPQ94HsRMVDSQOBe4PvAVRHx/ySdAEwFOpH6xfHNiBhY11xDy8opWLAYbihp5KsyMzPLfk5szbZ0XkSsktQOeB34OvCDpO3LQLGkPsn2dGA2MDKt/Q1gNKmfr9dqDi5pPDAeoH8nNeJlmJmZNS9eimC2pcskzQVeJVW57Qd0kNQx2b4fOIxUEvtSRFQA8yXtDxwE3JzeXnPwiJgcEfkRkb+83SByN95P7sRpTXJhZmZm2cyJrVkaSYcDR5FaejCCVDW2LfBP4FvAO6SS1S8DXwRmJKdOB74BbAL+DhyafG2R2JqZmVnjcGJr9lmdgNURUSppP+Dg5PhLwAQ+XXpwBFAWESVp7d8HXomIFUA3YF9SyxLMzMysCXiNrdlnPQVcJOktUtXZV5PjL5FahjA9IiolLQHeTjvvNWAPUokvwDygV0REfZPl9elEwaRjGzJ+MzOzZsuJrVmaiCgjtaSgNkrr97Ua520A2qTtj2+UAM3MzKxOXopgZmZmZlnBia2ZmZmZZQUntmZmZmaWFZzYmpmZmVlWcGJrZmZmZlnBia2ZmZmZZQU/7sssg4qKi8ibkpfpMKyRFI4rzHQIZmbNiiu2lpUkvSApv5bj50q6LRMxmZmZWeNyYmtZR1JOpmMwMzOzpuelCPa5IulKoCwifiPpFmBERBwp6UjgfOBx4L9IvQVsWkT8MDlvHfA74Cjg0hpjfgu4ClgDzAXKkuP3AJ8A+UAv4AcR8VBaHKeRepvYIxFx/TbENhb4fTJeAH+IiFvqu96hZeUU+M/VZmZmDcIVW/u8eQn4crKdD3SQ1Co59i7wC+BIYCQwWtKJSd/dgNciYkREvFw9mKTewI+ALwGHAkNqzNc7OX4cMCk552vAYOCgZJ4DJR22ldimJ337RMSwiMgD7q7tAiWNl1QgqWBFaWzv52NmZmZ1cGJrnzczSSWSu5OqrL5CKon8MqmK6wsRsSIiKoA/Aocl51UCD9cy3hfSzikHHqjR/mhEVEXEm8AeybGvJV+zgVnAfqQS3fpiewn4NzBQ0m8lHU2qGryFiJgcEfkRkd+jvbbnszEzM7N6eCmCfa5ExCZJC4BzgX8C84AjgL2BhcCBdZy6MSIqd2DKsrRtpX3/eUT8rmbnemJ7KyJC0gjg68BFpJYynFff5IUxkNyJ0wBYOOnYHQjfzMzMqrlia59HLwETSP15/yVSSeJs4F/AVyR1T24QOxN4cStjvZac0y1ZNnDqNsz/NHCepA4AkvpI6llfbElS2x1oEREPA9cAB2zzFZuZmdlOc8XWPo9eAq4GXomI9ZI2Ai9FxDJJE4Hn+fTmscfqGyg55wZSywbWAHO2NnlEPCNpf+AVSQDrgDHAx3XFlpzaB7hbUvUvjFdtba68Pp0ocKXWzMysQSjCN6+YZUp+fn4UFBRkOgwzM7MmI2lmRGzxrPmG4KUIZmZmZpYVnNiamZmZWVZwYmtmZmZmWcGJrZmZmZllBSe2ZmZmZpYVnNiamZmZWVZwYmtmZmZmWcEvaDDbAZJ+DEyPiL9L+jLwv8Am4IsRsWFbxykqLiJvSl5jhWlNqHBcYaZDMDNr9pzYmu2AiLgubfds4OcRcV+m4jEzMzO/ecxsqyRdS+qVuiuAJcBMYBjwONAZuBEoAf4JTAAeAHYn9YvjxRHxUi3DApC/Z04ULK1s1PjNzMw+TxrzzWOu2JrVQ9Jo4GRgBNAKmEUqsQUgIu6SdCjweEQ8JOk/gacj4qeScoD2mYjbzMysOXJia1a/LwGPRcRGYKOkv22l/+vAHyS1Ah6NiDk1O0gaD4wH6N9JDR2vmZlZs+WnIpg1oIiYDhwGfAjcI2lsLX0mR0R+ROQvbzeI3InTyJ04rcljNTMzyzZObM3qNwP4pqS2kjoAx9XXWdIA4KOIuBO4CzigCWI0MzMzvBTBrF4R8bqkvwLzgI+AQlI3itXlcOBKSZuAdcAWFVszMzNrHH4qgtlWSOoQEesktQemA+MjYlZDjJ2fnx8FBQUNMZSZmdkuwU9FMMusyZKGAG2BKQ2V1JqZmVnDcmJrthURcVamYzAzM7Ot881jZmZmZpYVnNiamZmZWVZwYmtmZmZmWcGJrZmZmZllBSe2ZmZmZpYV/FQEswwqKi4ib0pepsOwHVQ4rjDTIZiZWRpXbK1BSDpRUkjar472eySdspUxnpDUeSdieFTSq9vYd09JD+3oXDXGukHShIYYy8zMzHacE1trKGcCLyffd0hEHBMRa3bk3CQhPhDoJGngNsy1NCLqTbTNzMxs1+KlCLbTJHUADgWOAP4GXC9JwG+B/wCWAOVJ36OB8yPi1GT/cGBCRBwnaSGQHxErJY0FJgABzIuIcyT1AP4X6J9M/f2ImJFs/79k7o+AM4CfJePfA3wC5AO9gB9ExEOScoHHI2KYpHOBE4HdgMHATUBr4BygDDgmIlZJugAYn7S9D5wTEaU1PovLgIuACuDNiDijvs9uaFk5BQsWww0lW/uYzczMbCtcsbWGcALwVES8CxRLOhA4CdgXGAKMBQ5J+v4d+IKk3ZL904Gp6YNJGgpcAxwZESOA7yVNvwZuiYjRwMnAXWmnnQn8KfmqWTXuTSrxPg6YVMc1DCOVHI8GfgqURsQo4JUkfoC/RMToJKa3gPNrGWciMCoihpNKcLcgabykAkkFK0qjjnDMzMxse7liaw3hTFJJJ6SS1DNJ/dv6U0RUAkslPQcQERWSngK+maxxPRb4QY3xjgT+HBErk3NWJcePAoakisEA7J5Ui6srrS9HREjaJGlYRLyR9Hs0IqqANyXtUcc1PB8Ra4G1kkpIVX8BCoHhyfYwST8BOgMdgKdrGWce8EdJjwKP1jZRREwGJgO06T04cjfeChOnAbBw0rF1hGdmZmZb48TWdoqkrqQS0TxJAeSQWj7wSD2nTQW+A6wCCpKEclu0AA6OiI01YvgW0AVYkCS9u5NKrq9OupSld69j7PQ+VWn7VXz6c3IPcGJEzE2WLxxeyzjHAocB3wSulpQXERVbuzAzMzPbeV6KYDvrFODeiBgQEbkR0Q9YABQDp0vKkdSb1Prbai8CBwAXUGMZQuI54FRJ3WBz8gzwDPDd6k6SRiabZwJHJ/PnkrqJrN61rTuoI7BMUivg7JqNkloA/SLieeCHQCdSlV0zMzNrAq7Y2s46E/hFjWMPA/sD7wFvAotJrVUFICIqJT0OnAuMqzlgRBRJ+inwoqRKYHbS9zLgdknzSP3bnS5pEjAAeDXt/AWSSiR9oaEuMnEt8BqwIvnesUZ7DnCfpE6kKsO/2dpTHvL6dKLAyw/MzMwahCJ884pZpuTn50dBQUGmwzAzM2sykmZGRH5jjO2lCGZmZmaWFZzYmpmZmVlWcGJrZmZmZlnBia2ZmZmZZQUntmZmZmaWFZzYmpmZmVlW8HNszTKoqLiIvCl5mQ7D6lA4rjDTIZiZ2XZwxdZsO0i6SNLYTMdhZmZmW3LF1mw7RMT/ZjoGMzMzq50TW8taknKBp0i9bvcQ4HXgbuBHQE/gbOB94A/AQKAUGA+8AfwbGFn9SlxJ7wGHAhcD6yLiJkmDgNuBHsm5F0TE25JOBa4HKoGSiDisrhiHlpVT4D93m5mZNQgntpbt9gZOBc4jldieRSpBPR74L2AJMDsiTpR0JPB/ETFS0mPAScDdkr4ALIqIjySljz0ZuCgi3kv6/A9wJHAd8PWI+FBS55oBSRpPKoGmfyfVbDYzM7Md5DW2lu0WRERhRFQBRcA/IiKAQiCXVJJ7L0BEPAd0k7Q78ABwejLGGcn+ZpI6kKoC/1nSHOB3QO+keQZwj6QLgJyaAUXE5IjIj4j8Hu2d2JqZmTUUV2wt25WlbVel7VeR+ve/qY7zXgH2ltQDOBH4SY32FsCaiBhZ88SIuCip4B4LzJR0YEQU1zZJYQwkd+I0ABZOOnbbrsjMzMxq5YqtNXcvkVpri6TDgZUR8UlS1X0EuBl4q2ZiGhGfAAuS9bQoZUSyPSgiXouI64AVQL8muxozM7NmzBVba+5uAP4gaR6pG8DGpbU9QGpd7rl1nHs2cIeka4BWwFRgLvBLSYMBAf9IjtUqr08nClypNTMzaxBKFabMLBPy8/OjoKAg02GYmZk1GUkzIyK/Mcb2UgQzMzMzywpObM3MzMwsKzixNTMzM7Os4MTWzMzMzLKCE1szMzMzywpObM3MzMwsK/g5tmYZVFRcRN6UvEyH0ewUjivMdAhmZtYIXLE1MzMzs6zgxNbMzMzMsoKXIlizJikXeBJ4GTgE+BA4AdgTuB3oQepVuxcA7wHvAwOBTkAxcERETJc0HTg/Oe/XyfABHBYRa+uaf2hZOQX+s7iZmVmDcMXWDAYDt0fEUGANcDIwGfhuRBwITAD+JyIqgXeAIcChwCzgy5LaAP0i4r2k76URMRL4MrChya/GzMysmXLF1gwWRMScZHsmkEuqevtnSdV92iTfXwIOA/YCfk6qkvsi8HrSPgO4WdIfgb9ExAc1J5M0HhgP0L+TajabmZnZDnLF1gzK0rYrga7AmogYmfa1f9I+nVQl9iDgCaAzcDiphJeImAR8G2gHzJC0X83JImJyRORHRP7ydoPInTiN3InTGuvazMzMmg0ntmZb+gRYIOlUAKWMSNr+RaqaWxURG4E5wIWkEl4kDYqIwoj4Bakq7haJrZmZmTUOJ7ZmtTsbOF/SXKCI1A1lREQZsAR4Nen3EtARqL4D7PuS3pA0D9hE6sY0MzMzawKKiEzHYNZs5efnR0FBQabDMDMzazKSZkZEfmOM7YqtmZmZmWUFJ7ZmZmZmlhWc2JqZmZlZVnBia2ZmZmZZwYmtmZmZmWUFJ7ZmZmZmlhWc2JqZmZlZVmiZ6QDMmrOi4iLypuRlOoxmpXBc4dY7mZnZLskVW2uWJIWk+9L2W0paIenxHRzvLklDGi5CMzMz216u2FpztR4YJqldRGyA/8/evYfZVdbn/3/fBJRAIJGDLUnFkYggYSDAhopAhHKoGqpV0KjI0Ro5CB5+qClagUo1FvtVtCgGisSClEJBWoII5WwEkh0JGQYEq4knREM4xkAC4f79sZ6RzTCnJDOzw577dV1zZa1nPYfPGpPLD5/9rL04GPjt2k5m++/WZtyklauop4IYERExKFKxjZHsWmBqOX4/cGnXBUlnSDq14fxeSW2SNpU0R9I9pW1auX6LpFo5fqukn5Q+Nw7j/URERIxoSWxjJPsP4H2SNgZ2Ae4awJi3Ag/Z3tX2zsB1jRclbQ2cDxxme1fgPd0nkDRdUl1SfekKr/NNRERERCWJbYxYthcBbVTV2msHOKwDOFjSlyXtZ/uJbtffBNxme3FZ49Ee1p1lu2a79vDoibTNmEPbjDlrfyMREREBJLGN+G/gKzRsQyie48X/PjYGsP0gsDtVgnuWpM8PR5ARERHRvyS2MdJdCJxpu/sTXEuoElgk7Q68rhyPB1bYvhg4u6tPgzuBKZK6+m8xdKFHREREo3wrQoxotn8DfL2HS/8FHCWpk2rv7YOlvR04W9LzwLPACd3mWyppOnClpA2AP1B940KP2ieMpT5zam+XIyIiYg3IzsMrEc1Sq9Vcr9ebHUZERMSwkbTAdm0o5s5WhIiIiIhoCUlsIyIiIqIlJLGNiIiIiJaQxDYiIiIiWkIS24iIiIhoCUlsIyIiIqIl5HtsI5qoc1kn7bPbmx1Gy+k4uvv7NiIiYiRIxTbWmqR3SJpRjs+QdGoPfdok3VuO95d0TT9zHi/pqH76TJb09nWJfSAkfVzSJg3n10oaN9TrRkRExNpJxTbWmu3/Bv57kOc8bwDdJgM14NqBzitpQ9vPrWE4HwcuBlaU2IY8mY6IiIi1l8Q2eiSpDbgOuBN4MzAf+A5wJvBq4AhgJ6Bm+6Pdxu4BXFhOr+9h7g2AB4A3l1fQbkD1ytq9gZOA5ba/IukWqtfZHgCMAz5Uzv8RGC1pX+BLwDXAN4CdgY2AM2xfLekY4N3AGGAU8BZJnwLeC7wSuMr26ZI2Bf4T+IvS7wvAnwHjgZslPWL7AElLqBLqMcAPgB+V381vgXfaflrSnsC/Ac8DNwBvs71zb7/nSStXUc/H5hEREYMiWxGiL68H/gXYsfx8ANgXOBU4rY9x3wFOtr1rTxdtP09VCT2iNB0E3GN7aQ/dN7S9F1X19HTbq4DPA5fZnmz7MuCzwE2l3wHA2SVZBdgdONz2WyQdAmwP7EVV9d1D0hTgrcBDtnctSeh1tr8OPAQcYPuAHuLaHjjX9iTgceCwhnv/iO3JwOqe7l/SdEl1SfWlK/JK64iIiMGSxDb6sth2R0lEO4EbbRvoANp6GlD2oI6zfVtp+vde5r4Q6NpLexxVQtiTK8ufC3pbEzgEmCFpIXALsDGwbbl2g+1HG/odAtwN/IQqWd++3M/Bkr4saT/bT/SyTqPFthc2xlbufTPbd5T27/U00PYs2zXbta030QCWioiIiIHIVoToy8qG4+cbzp9nHf/u2P61pN9L+iuqCuoRvXTtWnN1H2sKOMz2Ay9qlP4S+GO3fl+y/e2XTCDtDrwdOEvSjbb/sZ9baPzdrAZG99O/Rx3ejrYZcwBYMnPq2kwRERERRSq2MahsPw48Xva/Qu8JK8AFVFsSLrfd48f2vXgK2Kzh/IfAyZIEIGm3Xsb9EDhO0pjSb4KkV0saD6ywfTFwNtX2hZ7W6VO596dKQg3wvoGOjYiIiHWXim0MhWOBCyWZHh4ea/DfVFsQetuG0JubeWHrwZeoHvb6GrCoPIi2GDi0+yDb10t6I3BHyYGXAx+k2kt8tqTngWeBE8qQWcB1kh7qZZ9tTz4EnF/muhXoc1tD+4Sx1FOpjYiIGBSqtkxGDD9JNeCrtvdrdiyDRdIY28vL8QxgG9sf661/rVZzvV4ftvgiIiKaTdIC27WhmDsV22iKkvSdQN9bFV6Opkr6e6p/W78EjmluOBERESNHEttoCtszgZnNjmOwla8fu6zZcURERIxEeXgsIiIiIlpCEtuIiIiIaAlJbCMiIiKiJSSxjYiIiIiWkIfHIpqoc1kn7bPbmx1GS+k4uqPZIURERJOkYhtRSLqlfLcukq6VNK78nNjQZ7ykK5oXZURERPQmiW1ED2y/vbwidxxwYkP7Q7YPb15kERER0ZtsRYiWJakNuA5YAOwOdAJHAXsDX6H6+z8fOMH2ym5jlwA1qu/anVhe33sDcC5wje2dJY0Cvgy8FXgeON/2NyTNBN4BPAdcb/vU3mKctHIV9Xx0HhERMRQ56MMAACAASURBVCiS2Ear2wH4kO25ki4EPgl8BDjQ9oOSvkv1BrSv9TJ+BrCz7cnwp2S5y3SgDZhs+zlJW0jaEngXsKNtSxrXfUJJ08tYth2rQbjFiIiIgGxFiNb3a9tzy/HFwIHAYtsPlrbZwJS1nPsg4Nu2nwOw/SjwBPAM8G+S3g2s6D7I9izbNdu1rTdJYhsRETFYkthGq3O388eHdLEqyd0LuAI4lGorRK86vB1tM+bQNmPOUIYVERExIiSxjVa3raS9y/EHgDrQJun1pe1I4NY+xj8FbNbLtRuAj0jaEKBsRRgDjLV9LfAJYNd1vYGIiIgYmCS20eoeAE6SdD/wKuCrwLHA5ZI6qB76Oq+3wbaXAXMl3Svp7G6XLwB+BSySdA9V4rwZcI2kRcCPqPb0RkRExDCQ3f2T2ojWUB70usb2zk0OpVe1Ws31er3ZYURERAwbSQts14Zi7lRsIyIiIqIl5Ou+omXZXgKst9XaiIiIGFyp2EZERERES0hiGxEREREtIYltRERERLSEJLYRERER0RKS2EZERERES8i3IkQ0UeeyTtpntzc7jJbRcXRHs0OIiIgmSsU2BkTSZyV1SlokaaGkv5S0RNJWTYhlnKQTG873l3TNEK/ZJuneXq4dI2n8UK4fERER/UvFNvolaW/gUGB32ytLMvuKJsWyITAOOBH4ZjNi6MExwL3AQ2s6cNLKVdRTZYyIiBgUqdjGQGwDPGJ7JYDtR2x3JXEnS/qJpA5JOwJI2kLS90t1905Ju5T2jlJtlaRlko4q7d+VdLCkUZLOljS/jP1Iub6/pNsl/TdwHzATmFgqx2eXOMZIukLSTyVdIkll7IGS7i5rXyjplaX9T9VmSTVJt5TjrSXdUKrTF0j6ZUNVepSk88u16yWNlnQ4UAMuKfGMljRT0n3lHr4ydP+zRERERKMktjEQ1wOvkfSgpG9KekvDtUds7w58Czi1tJ0J3G17F+A04LulfS6wDzAJ+AWwX2nfG/gx8CHgCdt7AnsCH5b0utJnd+Bjtt8AzAB+bnuy7U+V67sBHwd2ArYD9pG0MXARMM12O9UnFCf0c6+nAzfZngRcAWzbcG174Nxy7XHgMNtXAHXgCNuTgU2AdwGTyv2f1X0BSdMl1SXVl65wP+FERETEQCWxjX7ZXg7sAUwHlgKXSTqmXL6y/LkAaCvH+wL/XsbeBGwpaXPgdmBK+fkW0C5pAvCY7T8ChwBHSVoI3AVsSZVMAsyzvbiPMOfZ/o3t54GFJZYdgMW2Hyx9Zpe1+7Iv8B8l9uuAxxquLba9sIf7bfQE8Azwb5LeDazo3sH2LNs127WHR0+kbcacfkKKiIiIgUhiGwNie7XtW2yfDnwUOKxcWln+XE3/e7Zvo6rS7gfcQpUkH06V8AIIOLlUYifbfp3t68u1P/Yz98qG44HE8hwv/P3fuJ++A17D9nPAXlTV3kOB6wY4d0RERKyjJLbRL0k7SNq+oWky8Ms+htwOHFHG7k+1XeFJ278GtgK2t/0L4EdU2xduK+N+CJwgaaMy9g2SNu1h/qeAzQYQ+gNAm6TXl/MjgVvL8RKqKjS8kKRDtV3ivWX9Q4BXDWCdP8UjaQww1va1wCeAXQcwPiIiIgZBEtsYiDHA7K4Hoqj2sZ7RR/8zgD1K35nA0Q3X7gK6tgbcDkygSnABLqB6OOwn5au1vk3PVdFlwFxJ9zY8PPYStp8BjgUul9QBPA+cVy6fCZwjqU5VfaWh/ZCy/nuAh6kS175cBJxXtlBsBlxT7v1HwCf7Gtg+YSxLZk7tZ/qIiIgYCNl5eCWiS/nWhNW2nytfc/at8lDYkKjVaq7X60M1fURExHpH0gLbtaGYO99jG/Fi2wL/KWkDYBXw4SbHExEREQOUxDaige2fUX11WERERLzMZI9tRERERLSEJLYRERER0RKS2EZERERES0hiGxEREREtIQ+PRTRR57JO2me3NzuM9ULH0R3NDiEiIl7mUrGNISPpFkl9fk+dpAsk7dRPnzMknVqO/1HSQeV4iaSt1iCeayWNW4P+r5T0v5IWSpo2kFgjIiKieVKxjaay/Xdr2P/z67DW29dwyG5lXNcLGi5b27UjIiJi6CWxjR5J+iBwCvAKqtfgfhH4X2Bv4FHgVuALVK/HvQ5YAOwOdAJH2V7Rbb5vAXsCo4ErbJ9e2m8BTrVdl7QcOAc4FHgaeKft33eb5yLgGttXNLSNBq4ErrR9fg+xn2h7taQlQI3qFcHXAXcCbwbmA9+hep3uq4EjgCXAxcDW5VW5hwH/Bpxa5pho+1Nl/WOAmu2P9rZ2b7/nSStXUc9H8BEREYMiWxHiJSS9EZgG7FOqlauBtwBfBr4F/H/AfbavL0N2AL5p+43Ak8CJPUz72fL6vF2At0japYc+mwJ32t4VuI2BvfVrDPA/wKUlqe0p9iN6GPd64F+AHcvPB4B9qRLX02z/Afg74Hbbk23/vGHsfwHvajifBvzHQNeWNF1SXVJ96Yq80joiImKwpGIbPTkQ2AOYLwmqKusfbJ8h6T3A8cDkhv6/tj23HF9MVbH8Src53ytpOtXfuW2AnYBF3fqsAq4pxwuAgwcQ69XAP9u+pK/Yexi32HYHgKRO4EbbltQBtPW1oO2lkn4h6U3Az6gS47nASQNZ2/YsYBbAK7fZ3m0z5gCwZObUAdxuRERE9CaJbfREwGzbf/+iRmkT4C/K6RjgqXLcvez4onNJr6OqhO5p+7GynWDjHtZ91nbX2NUM7O/nXOCtkr5XxvYYew9WNhw/33D+/ADX/Q/gvcBPgatKUjzQtSMiImIIZCtC9ORG4HBJrwaQtIWk11JtRbgE+DxwfkP/bSXtXY4/APyo23ybA38EnpD0Z8DbBjHWzwOPAef2E/tguwp4J/B+qiR3ONeOiIiIHqRiGy9h+z5JnwOul7QB8CzwSaqHv/YpD2IdJulY4GbgAeAkSRcC91Htw22c7x5Jd1NVN39NVWUdTB8DLpT0z7Y/3UPsJwG/HMwFS+X5fmAn2/NKW0+/tz7Xbp8wlnq2IERERAwKvfDJb8Sak9RG9S0FOzc5lJelWq3mer3e7DAiIiKGjaQF5YHyQZetCBERERHRErIVIdaJ7SVAqrURERHRdKnYRkRERERLSGIbERERES0hiW1EREREtIQkthERERHREvLwWEQTdS7rpH12e7PDaLqOozuaHUJERLSAVGyjV5KWNzuGvkg6RdL9ki6RdIykf21iLOv17yoiImIkSGIbL2cnAgfbPqLZgURERETzZStCDIikTwHvBV4JXGX79NL+feA1wMbAObZnlfYPAZ8BHgfuAVba/qiki6jeVHZF6bfc9ph+1vgkcFwJ5QLbX5N0HrAd8IPyKt/HGmLdGjgP2LY0fdz23NL+PWA8cAdwMLCH7UckfRA4BXgFcBdwYnl18HLgHOBQ4GngnbZ/L+l1Za4xwNUNa28DXAZsTvXv6wTbt/f2e520chX1fAwfERExKFKxjX5JOgTYHtgLmAzsIWlKuXyc7T2AGnCKpC0ljQf+AXgTsA+w49quIWkP4FjgL8t8H5a0m+3jgYeAA2x/tdt05wBftb0ncBhwQWk/HbjJ9iTgCkriK+mNwDRgH9uTgdVAVxV4U+BO27sCtwEfbljjW7bbgd81rP0B4Idlnl2BhT3c63RJdUn1pSvySuuIiIjBkoptDMQh5efucj6GKgm9jSqZfVdpf01p/3PgVtuPAki6HHjDWq4xhqp6+8cy15XAfg39enIQsJOkrvPNJY0B9gXeBWD7OkldVd4DgT2A+WXMaOAP5doq4JpyvICqygtVwn5YOf534MvleD5woaSNgO/bfkliW6raswBq40cls42IiBgkSWxjIAR8yfa3X9Qo7U+VRO5te4WkW6i2JPTlOconBZI2oProv681PrYW8W4AvMn2M93m6q2/gNm2/76Ha8/a7ko+V/PifzMvSUpt31aq2VOBiyT9P9vf7W3hDm/X+11ERETEGslWhBiIHwLHlaonkiZIejUwFnisJLU7Um0VgKpq+RZJr5K0IS9UNgGWUFVHAd4BbNTPGrcDfytpE0mbUlVce92zWlwPnNx1ImlyOZxLtYe3a+vDq0r7jcDhZT0kbSHptf2sMRd4Xzn+08NrZdzvbZ9PtQVi937miYiIiEGSim30y/b1ZR/qHaXquRz4IHAdcLyk+4EHgDtL/99K+iIwD3gU+CnwRJnufOBqSfeU8X/saw3bPykPnM0r4y+w3dc2BKgeAjtX0iKqv+O3AccDZwKXSjqS6uGxh4GnysNjnwOuL1XkZ4GTgF/2scbHgO9J+gwND48B+wOfkvRsuYej+gq0fcLYfm4lIiIiBkovfMoaMXgkjbG9vFRsrwIutH1Vk2N6JbDa9nOS9qZ6+Gtyf+OGUq1Wc71eb2YIERERw0rSAtu1oZg7FdsYKmdIOohqz+31wPebHA9U34Lwn6Uqu4oXvuEgIiIiWkAS2xgStk9tdgzd2f4ZsFuz44iIiIihkYfHIiIiIqIlJLGNiIiIiJaQxDYiIiIiWkIS24iIiIhoCUlsIyIiIqIl5FsRIpqoc1kn7bPbmx3GsOs4uqPZIURERAtKxTbWC5LGSTpxLcdeJOnwQYrjFklD8qXRERERMbRSsY31xTjgROCbzQ5kOE1auYp6qpcRERGDIhXbWF/MBCZKWijpbEmfkjRf0iJJZ3Z1knRUabtH0r83jJ8i6ceSftFVvZW0f6nAXiHpp5IukaRy7UBJd0vqkHRhed3ui0h6f7l+r6QvN7R/SNKDkuZJOl/Sv0raTNJiSRuVPps3nkdERMTQS2Ib64sZwM9tTwZuALYH9gImA3tImiJpEvA54K9s7wp8rGH8NsC+wKFUSXKX3YCPAzsB2wH7SNoYuAiYZrud6pOLExqDkTQe+DLwVyWGPSX9bWn/B+BNwD7AjgC2nwJuAaaWKd4HXGn72e43Kmm6pLqk+tIVXtPfU0RERPQiiW2sjw4pP3cDP6FKHrenSjIvt/0IgO1HG8Z83/bztu8D/qyhfZ7t39h+HlgItAE7AIttP1j6zAamdIthT+AW20ttPwdcUvrsBdxq+9GStF7eMOYC4NhyfCzwnZ5uzvYs2zXbtYdHT6RtxhzaZswZ2G8mIiIiepU9trE+EvAl299+UaN0ch9jVnYb31P7aobw77ztuZLaJO0PjLJ971CtFRERES+Vim2sL54CNivHPwSOkzQGQNIESa8GbgLeI2nL0r7FWq71ANAm6fXl/Ejg1m595gFvkbSVpFHA+0uf+aX9VZI2BA7rNu67wPfopVobERERQycV21gv2F4maa6ke4EfUCWHd5RnvZYDH7TdKemfgFslrabaqnDMWqz1jKRjgctLcjofOK9bn99JmgHcTFUBnmP7agBJX6RKfB8Ffgo80TD0EuAs4NKBxNI+YSz1mVP77xgRERH9kp2HVyLWhKQxtpeXpPgq4ELbV5VrhwPvtH3kQOaq1Wqu1+tDGG1ERMT6RdIC20PynfGp2EasuTMkHQRsDFwPfB9A0jeAtwFvb2JsERERI1YS24g1ZPvUXtr7ergtIiIihlgeHouIiIiIlpDENiIiIiJaQhLbiIiIiGgJSWwjIiIioiXk4bGIJupc1kn77PZmhzFsOo7uaHYIERHRwlKxjZYm6bSG47byAog1GX+8pKMGP7KIiIgYbElso9Wd1n+X3tk+z/Z3ByuYiIiIGDrZihAtQ9L3gddQvTjhHGA7YLSkhUAn8FlglKTzgTcDv6V6S9jTkiYC5wJbAyuAD9v+qaQzgOW2vyLpFOB44DngPtvvK9dfV9baFvgE8CaqFzX8Fvgb28/2FvOklauo5+P5iIiIQZGKbbSS42zvAdSAU4CzgadtT7Z9ROmzPXCu7UnA48BhpX0WcHIZfyrwzR7mnwHsZnsXqgS3y0Tgr4B3ABcDN9tuB54GpnafRNJ0SXVJ9aUr8krriIiIwZLENlrJKZLuAe6kqtxu30OfxbYXluMFQJukMVQV3MtLdffbwDY9jF0EXCLpg1RV2y4/KFXZDmAUcF1p7wDauk9ie5btmu3aw6Mn0jZjzpreZ0RERPQgWxGiJUjaHzgI2Nv2Ckm3UG1J6G5lw/FqYDTVf+A9bntyP8tMBaYAfwN8VlLX1xmsBLD9vKRnbXeVYZ8n/8YiIiKGTSq20SrGAo+VpHZHqn2uAM9K2qivgbafBBZLeg+AKrs29pG0AfAa2zcDnynrjRnsm4iIiIi1l8Q2WsV1wIaS7gdmUm1HgGrv7CJJl/Qz/gjgQ2UrQyfwzm7XRwEXS+oA7ga+bvvxdQ26fcJYlsx8yTbciIiIWAt64VPTiBhutVrN9Xq92WFEREQMG0kLbNeGYu5UbCMiIiKiJSSxjYiIiIiWkMQ2IiIiIlpCEtuIiIiIaAlJbCMiIiKiJSSxjYiIiIiWkLciRTRR57JO2me399/xZa7j6I5mhxARESNAKrYxokkaJ+nEZscRERER6y6JbYx044CXJLaS8mlGRETEy0z+zztGupnAREkLgWeBZ4DHgB2BN0j6IHAK8ArgLuBE26slHQKcCbwS+DlwrO3lkmYC7wCeA663fWpfi09auYp6PqaPiIgYFKnYxkg3A/i57cnAp4DdgY/ZfoOkNwLTgH3K9dXAEZK2Aj4HHGR7d6AOfFLSlsC7gEm2dwHO6mlBSdMl1SXVl67IK60jIiIGSyq2ES82z/bicnwgsAcwXxLAaOAPwJuAnYC5pf0VwB3AE1QV33+TdA1wTU8L2J4FzAKojR+VzDYiImKQpGIb8WJ/bDgWMNv25PKzg+0zSvsNDe072f6Q7eeAvYArgEOB6/pbrMPb0TZjzhDcRkRExMiTxDZGuqeAzXq5diNwuKRXA0jaQtJrgTuBfSS9vrRvKukNksYAY21fC3wC2HXow4+IiIgu2YoQI5rtZZLmSroXeBr4fcO1+yR9Drhe0gZUD5edZPtOSccAl0p6Zen+Oaok+WpJG1NVdT/Z3/rtE8ZSnzl1cG8qIiJihJKdLX4RzVKr1Vyv15sdRkRExLCRtMB2bSjmzlaEiIiIiGgJSWwjIiIioiUksY2IiIiIlpDENiIiIiJaQhLbiIiIiGgJSWwjIiIioiUksY2IiIiIlpAXNERLkjQZGF/eArbe6lzWSfvs9maHMeg6ju5odggRETECpWIbrWoy8PY1GSBpw77OIyIiYv2WN4/FkJDUBlwHLAB2BzqBo4BJwDnApsBK4EDgMOBvS9v2wFeAVwBHlj5vt/2opA8D08u1/wOOtL1C0nuA04HVwBPAQeX6aOC3wJeAa4BvADsDGwFn2L66vBr33cAYYFSZ5wvAY8COtt8g6fvAa4CNgXNszyr3+Fbgi2XcI7YPlLRpT+v09nuqjR/l+kOr1/wXHBER8TI1lG8eS0UqhtIOwIdsz5V0IfBR4Hhgmu35kjYHni59dwZ2o0oe/w/4jO3dJH2VKiH+GnCl7fMBJJ0FfIgqifw88Ne2fytpnO1Vkj4P1Gx/tPT/InCT7eMkjQPmSfrfsvbuwC4led6/nO9se3G5fly5NhqYL+m/qD7tOB+YYnuxpC1K38/2tI7tPw7qbzYiIiJeIlsRYij92vbccnwx8NfA72zPB7D9pO3nyvWbbT9leylV1fV/SnsH0FaOd5Z0u6QO4Aiq6i/AXOCiUtEd1UsshwAzJC0EbqFKoLct126w/WhD33kNSS3AKZLuAe6kqtxuD7wJuK2rX8P4vtYBQNJ0SXVJ9aUr8olJRETEYEliG0Ope9b2ZB99VzYcP99w/jwvfLJwEfBR2+3AmVRJI7aPBz5HlXQukLRlD/MLOMz25PKzre37y7Xu1dQ/nZcK7kHA3rZ3Be7uWrcXfa1DiXeW7Zrt2sOjJ9I2Y04f00VERMRAJbGNobStpL3L8QeoKp7bSNoTQNJma/iA1mbA7yRtRFWxpcwz0fZdtj8PLKVKcJ8q/bv8EDhZksqY3Qa45ljgsbKXd0eqSi3lXqZIel2Zr2srwtquExEREesoiW0MpQeAkyTdD7yKaj/sNOAb5aP9G+i7+tndPwB3UW09+GlD+9mSOiTdC/wYuAe4GdhJ0kJJ06geCNsIWCSps5wPxHXAhuUeZlIltJQtE9OBK8u9XFb6r+06ERERsY7yrQgxJMq3Ilxje+cmh7Jeq9VqrtfrzQ4jIiJi2AzltyKkYhsRERERLSFf9xVDwvYSqq/wioiIiBgWqdhGREREREtIYhsRERERLSGJbURERES0hCS2EREREdESkthGREREREvItyJENFHnsk7aZ7c3O4xB1XF0R7NDiIiIESoV21ivSFreQ9vxko4qxzuWt4ndLWliH/MsKW8jWyTpekl/vgYxXFXW+D9JT5TjhZLeLOkCSTut3d1FRETEUErFNtZ7ts9rOP1b4ArbZw1g6AG2H5H0ReA04JTGi5JG2V7dw3rvKtf3B061fWjD5R+vafwRERExPJLYxnpP0hnAcuA+4OPAakkH2j5A0gepEtZXAHcBJ/aQrN5W+nRVhL8NHAScJOmVwFeo/i3MB06wvbKPWG6hSnbrZa7zgUOAh4H32V4q6RTgeOA54D7b7+ttvkkrV1HPR/cRERGDIlsR4mXD9rXAecBXS1L7RmAasI/tycBq4Igehh4KdGWPmwJ32d4VqAMXAdNst1MltyesQUibAnXbk4BbgdNL+wxgN9u7UCW4LyJpuqS6pPrSFV6D5SIiIqIvSWzj5exAYA9gvqSF5Xy7hus3l/bNgS+VttXAf5XjHYDFth8s57OBKWuw/vPAZeX4YmDfcrwIuKRUk5/rPsj2LNs127WHR0+kbcacNVgyIiIiepOtCPFyJmC27b/v5foBth/p1vZMT/tqB0lX+XUqVYL8N8BnJbXbfkmCGxEREYMrFdt4ObsROFzSqwEkbSHptWsw/gGgTdLry/mRVFsKBmoD4PBy/AHgR5I2AF5j+2bgM8BYYMwazBkRERFrKRXbWN9sIuk3Def/r7eOtu+T9Dng+pJQPgucBPxyIAvZfkbSscDlkroeHjuvn2GN/gjsVWL4A9V+31HAxZLGUlWUv2778d4maJ8wlvrMqWuwZERERPRGdh5eiVgbkpbbXqdqbK1Wc71eH6yQIiIi1nuSFtiuDcXc2YoQERERES0hiW3EWlrXam1EREQMriS2EREREdESkthGREREREtIYhsRERERLSGJbURERES0hHyPbUQTdS7rpH12e7PDGBQdR3c0O4SIiBjhUrGNEUlSTdLXmx1HREREDJ5UbGNEsl0H8maEiIiIFpLENlqKpE2B/wT+gur1tl8AfgGcA2wKrAQOBPYATrV9aBnzDWBnYCPgDNtXSzoGeAewCTARuMr2p8s6bwW+WNZ4xPaBvc3TV7yTVq6ino/wIyIiBkUS22g1bwUesj0VQNJY4G5gmu35kjYHnu425rPATbaPkzQOmCfpf8u1ycBuVAnxA5K+ATwDnA9Msb1Y0hZ9zWP7j42LSZoOTAfYdqwG9+4jIiJGsOyxjVbTARws6cuS9gO2BX5nez6A7SdtP9dtzCHADEkLgVuAjcs4gBttP2H7GeA+4LXAm4DbbC8ucz46gHn+xPYs2zXbta03SWIbERExWJLYRkux/SCwO1WCexbw7gEME3CY7cnlZ1vb95drKxv6rabvTzn6mqdHHd6OthlzBhBiRERE9CeJbbQUSeOBFbYvBs4G/hLYRtKe5fpmkronpz8ETpak0me3fpa5E5gi6XWlf9dWhDWdJyIiIgZR9thGq2kHzpb0PPAscAJVJfUbkkZT7a89qNuYLwBfAxZJ2gBYDBza2wK2l5Z9sleW/n8ADl7TeQDaJ4ylPnPqmt9lREREvIRsNzuGiBGrVqu5Xs+3jkVExMghaYHt2lDMna0IEREREdESkthGREREREtIYhsRERERLSGJbURERES0hCS2EREREdESkthGREREREvI99hGNFHnsk7aZ7c3O4x11nF0R7NDiIiISMU2oj+Sxkk6sRyPl3RFw7VLJS2S9InmRRgRERGQim3EQIwDTgS+afsh4HAASX8O7Gn79c0MLiIiIipJbCP6NxOYKGkh8DPgjbZ3Bq4HJpT2k6leqXuq7bqkrYC67ba+Jp60chX1fIwfERExKJLYRvRvBrCz7cmS2oBrSvs7gGtsTwaQ1JzoIiIiAsge24hhJ2m6pLqk+tIVbnY4ERERLSOJbcTgeY4X/k1t3Fsn27Ns12zXHh49kbYZc4YnuoiIiBaXxDaif08Bmw2g3xJgj3J8+JBFExERET1KYhvRD9vLgLmS7gXO7qPrV4ATJN0NbDUswUVERMSfyM4ev4hmqdVqrtfrzQ4jIiJi2EhaYLs2FHOnYhsRERERLSGJbURERES0hCS2EREREdESkthGREREREtIYhsRERERLSGJbURERES0hCS2EREREdESNmx2ABEjWeeyTtpntzc7jLXWcXRHs0OIiIj4k1RsY70naZykEwfQb/lazj9e0hX99Pnx2swdERERwydvHov1nqQ24BrbO/fTb7ntMcMS1CCpjR/l+kOrmx1GRETEsMmbx2KkmwlMlLRQ0tmSPiVpvqRFks7saUBPfSTNlHRSQ58zJJ0qqU3SvaVtkqR5Za1FkrYv7cvLnyox3CupQ9K00r6/pFskXSHpp5IukaQh/r1EREREgyS28XIwA/i57cnADcD2wF7AZGAPSVMaO0s6pJc+lwHvbej63tLW6HjgnLJWDfhNt+vvLnPuChwEnC1pm3JtN+DjwE7AdsA+Pd2MpOmS6pLqS1fkE5OIiIjBksQ2Xm4OKT93Az8BdqRKYvvtY/tu4NVlT+2uwGO2f91t7B3AaZI+A7zW9tPdru8LXGp7te3fA7cCe5Zr82z/xvbzwEKgracbsD3Lds127eHRE2mbMWdNfwcRERHRg3wrQrzcCPiS7W+vZZ/LgcOB2ucWPwAAIABJREFUP+el1Vpsf0/SXcBU4FpJH7F90wBjW9lwvJr8+4qIiBhWqdjGy8FTwGbl+IfAcZLGAEiaIOnV3fr31ecy4H1Uye3l3ReStB3wC9tfB64GdunW5XZgmqRRkrYGpgDz1vUGIyIiYt2lohTrPdvLJM0tD3j9APgecEd5Nms58EHgDw39r5f0xp762O6UtBnwW9u/62G59wJHSnoWeBj4YrfrVwF7A/cABj5t+2FJO67NvbVPGEt95tS1GRoRERHd5Ou+IpqoVqu5Xq83O4yIiIhhk6/7ioiIiIjoRxLbiIiIiGgJSWwjIiIioiUksY2IiIiIlpDENiIiIiJaQhLbiIiIiGgJ+R7biCbqXNZJ++z2ZoexVjqO7mh2CBERES+Sim2MOJLaysse1nWeJZK2GoyYIiIiYt0lsY2IiIiIlpCtCDFSbSjpEmB3oBM4iupVuV+h+ncxHzjB9kpJB/bU3jWRpNHAleXne8B/An8BjAK+YPuy3oKYtHIV9XykHxERMShSsY2Ragfgm7bfCDwJfBK4CJhmu50qiT1B0sY9tTfMMwb4H+BS2+cDbwUesr2r7Z2B67ovLGm6pLqk+tIVeaV1RETEYEliGyPVr23PLccXAwcCi20/WNpmA1OoEuCe2rtcDXzH9nfLeQdwsKQvS9rP9hPdF7Y9y3bNdm3rTTTItxURETFyJbGNkap7qfTxtZxnLvBWSQIoCfDuVAnuWZI+39fgDm9H24w5a7l0RERENEpiGyPVtpL2LscfAOpAm6TXl7YjgVuBB3pp7/J54DHgXABJ44EVti8GzqZKciMiImIYJLGNkeoB4CRJ9wOvAr4KHAtcLqkDeB44z/YzPbV3m+tjwGhJ/wy0A/MkLQROB87qK4j2CWNZMnPqIN5WRETEyCU7D69ENEutVnO9Xm92GBEREcNG0gLbtaGYOxXbiIiIiGgJSWwjIiIioiUksY2IiIiIlpDENiIiIiJaQhLbiIiIiGgJSWwjIiIioiVs2OwAIkayzmWdtM9ub3YYa6Tj6I5mhxAREdGjVGwjupF0iqT7JV2yjvMskbTVYMUVERERfUvFNuKlTgQOsv2bZgcSERERA5fENqKBpPOA7YAfSLoI2K+crwCm214kaQvgwh7atwQuBSYAdwDqb71JK1dRz0f7ERERgyJbESIa2D4eeAg4AGgD7ra9C3Aa8N3S7cxe2k8HfmR7EnAVsG1Pa0iaLqkuqb50RV5pHRERMViS2Eb0bl/g3wFs3wRsKWnzPtqnABeX9jnAYz1NanuW7Zrt2tab9FvUjYiIiAFKYhvRRB3ejrYZc5odRkREREtIYhvRu9uBIwAk7Q88YvvJPtpvAz5Q2t8GvGr4Q46IiBi58vBYRO/OAC6UtIjqIbGj+2k/E7hUUifwY+BXwxptRETECCc7D69ENEutVnO9Xm92GBEREcNG0gLbtaGYO1sRIiIiIqIlJLGNiIiIiJaQxDYiIiIiWkIS24iIiIhoCUlsIyIiIqIlJLGNiIiIiJaQxDYiIiIiWkJe0BDRRJ3LOmmf3d7sMAas4+iOZocQERHRq1RsY8STtLyPa/tLumY444mIiIi1k4ptRBNNWrmKeqqgERERgyIV2whAlbMl3SupQ9K0HvrsKeluSRMlbSrpQknzSts7S59JpW2hpEWSth/+u4mIiBiZUrGNqLwbmAzsCmwFzJd0W9dFSW8GvgG80/avJH0RuMn2cZLGAfMk/S9wPHCO7UskvQIY1X0hSdOB6QDbjtVQ31dERMSIkYptRGVf4FLbq23/HrgV2LNceyMwC/gb278qbYcAMyQtBG4BNga2Be4ATpP0GeC1tp/uvpDtWbZrtmsPj55I24w5Q3pjERERI0UqthH9+x1V4rob8FBpE3CY7Qe69b1f0l3AVOBaSR+xfdPwhRoRETFypWIbUbkdmCZplKStgSnAvHLtcapE9UuS9i9tPwROliQASbuVP7cDfmH768DVwC7DdwsREREjWxLbGNEkbQisBK4CFgH3ADcBn7b9cFe/sj3hUOBcSX8JfAHYCFgkqbOcA7wXuLdsUdgZ+G5f67dPGMuSmVMH96YiIiJGKNludgwRTSNpV+B823s1Y/1areZ6vd6MpSMiIppC0gLbtaGYOxXbGLEkHQ9cCnyu2bFERETEusvDYzFi2T4POK/ZcURERMTgSMU2IiIiIlpCEtuIiIiIaAlJbCMiIiKiJSSxjYiIiIiWkIfHIpqoc1kn7bPbmx1GvzqO7mh2CBEREf1KxTYGjaS/kHS1pJ9J+rmkcyS9QtL+kq7pZcwSSVuV489K6pS0SNLC8iKE3tY6RtK/DlLcjTH8uaT/KPEvkHStpDesxZxtku4djPgiIiJiYJLYxqAor5a9Evi+7e2BNwBjgH8a4Pi9qd7stbvtXYCDgF8PUbi9xSCqN5DdYnui7T2Avwf+bDjjiIiIiLWTrQgxWP4KeMb2dwBsr5b0CWAxcHNXJ0lbUr0UYQJwB6ByaRvgEdsry/hHGsbsCZwDbEr1+tsDy6Xxkq4DJgJX2f506f9+4LQy9xzbn+mrvcEBwLPl+20pcdxTxgr4Z+BtgIGzbF/WW/tAf2mTVq6ino/5IyIiBkUqtjFYJgELGhtsPwn8Cnh9Q/PpwI9sT6Kqjm5b2q8HXiPpQUnflPQWAEmvAC4DPmZ7V6pK7tNlzGRgGtAOTJP0GknjgS9TJdqTgT0l/W1v7d3uYefu99Dg3WVcVwxnS9qmj/ZeSZouqS6pvnRFXmkdERExWJLYxnCbAlwMYHsO8Fg5Xg7sAUwHlgKXSToG2AH4ne35pd+Ttp8rc91o+wnbzwD3Aa8F9qTaSrC09LukrNlb+0DtC1xqe7Xt3wO3ljl7a++V7Vm2a7ZrD4+euAYhRERERF+S2MZguY8qMf0TSZtTVWT/byATlOTwFtunAx8FDutnyMqG49Ws+9aaTrrdQ0RERLx8JLGNwXIjsImkowAkjQL+BbgIWNHQ7zbgA6XP24BXleMdJG3f0G8y8EvgAWCbss8WSZtJ6iuBnQe8RdJWJYb3U1VRe2tvdBPwSknTuxok7SJpP+B2qu0OoyRtTVXtnddHe0RERAyzJLYxKGwbeBfwHkk/Ax4EnqF6WKvRmcAUSZ1U+1N/VdrHALMl3SdpEbATcIbtVVT7aL8h6R7gBmDjPuL4HTCD6oG1e4AFtq/urb2XeziofN1XJ/Al4GGq/cCLytibgE/b7qt9QNonjB1o14iIiOiHqv8vj4hmqNVqrtfrzQ4jIiJi2EhaYLs2FHOnYhsRERERLSGJbURERES0hCS2EREREdESkthGREREREtIYhsRERERLSGJbURERES0hHV9U1NErIPOZZ20z25vdhj96ji6o9khRERE9CsV23hZkHSMpPEN5x+XtEnD+fJhiOHHQ71GRERErL0ktvFycQwwvuH848AmPXcdGrbfPJzrRURExJrJVoRoCkltwA+AHwFvBn4LvBPYATiPKmn9OXAccCBQAy6R9DTwHaok92ZJj9g+oMz5T8ChwNPAO23/XtLWZb5ty9Iftz1X0hbAhcB2wApguu1Fks4ofbcrf37N9tfL/Mttj5Ek4J+BtwEGzrJ9maT9gTOAR4CdgQXAB93H6/0mrVxFPR/zR0REDIpUbKOZtgfOtT0JeBw4DPgu8BnbuwAdwOm2rwDqwBG2J9s+B3gIOKArqQU2Be60vStwG/Dh0n4O8FXbe5b5LyjtZwJ3l3VOK+t22RH4a2Av4HRJG3WL+93AZGBX4CDgbEnblGu7UVWTd6JKjvfpftOSpkuqS6ovXZFXWkdERAyWVGyjmRbbXliOFwATgXG2by1ts4HLBzjXKuCahrkOLscHATtVRVYANpc0BtiXKtHF9k2StpS0eekzx/ZKYKWkPwB/BvymYa19gUttrwZ+L+lWYE/gSWCe7d8ASFoItFFVpf/E9ixgFkBt/KhkthEREYMkFdtoppUNx6uBcesw17MNH/mv5oX/aNsAeFOp9E62PcF2fw+adY9rTf4DcI3Gdng72mbMWYPpIyIiojdJbGN98gTwmKT9yvmRQFf19ilgs4a+3c97cz1wcteJpMnl8HbgiNK2P/CI7ScHGOftwDRJo8oe3inAvAGOjYiIiCGSrQixvjkaOK98ldcvgGNL+0Wl/Wlgb6qP8q+T9FDDPtuenAKcK2kR1d/324DjqR7yurC0ryjrDtRVJYZ7qB4e+7TthyXtuAZzANA+YSz1mVPXdFhERET0QH08sB0RQ6xWq7lerzc7jIiIiGEjaYHt2lDMna0IEREREdESkthGREREREtIYhsREf8/e3ceJldV53/8/SEsCQSDLCpEYlgFQkMIBcpqUEQQxAUBBSEBxggijPIDRUVhUBxUZhRQcOICUZBREZTFERkwEGBYKhDSNpsKwRUMCJEQCJB8fn/c01J00lvS6Uoqn9fz9FO3zj3L91a6H76cOveeiIiWkMQ2IiIiIlpCEtuIiIiIaAlJbCMiIiKiJSSxjYiIiIiWkA0aIpqo48kO2qa0NTuMXrVPaG92CBEREb3KjG3EEpB0W3kdLek33dSZKmmZPIA6IiIiFpUZ24glYHvXgehnzPwXqGc2NCIiYkBkxjZWSJI+J+lBSbdIukzSyZLGSrpd0kxJV0p6dak7VdKXJd0p6SFJe5TyIZK+Kumu0uYjpfybkg4sx1dK+l45PlrSWeV47mJiGibpvyXdL+lKYNggfRwRERFBEttYAUnaCTgI2B7YD+j8uv/7wKdsbwe0A6c3NFvV9s7AxxvKjwHm2N4J2An4sKRNgGnAHqXOSGCbcrwHcHMPoR0HzLO9dRljx27inySpLqk+e577eNURERHRmyS2sSLaDfi57edtPwNcDawFrGP7plJnCrBnQ5sryut0YHQ53gc4UtIM4A5gPWALSmIraRvgPuBxSRsCuwC39RDXnsAlALZnAjMXV8n2ZNs127XHhm3W96uOiIiIHmWNbaws5pfXBbz8ey/gBNvXda0saR1gX6oZ2nWBQ4C5JZGOiIiI5VBmbGNFdCvwLklDJQ0HDgCeBZ7qXD8LHAHc1F0HxXXAcZJWA5C0paS1yrnbqZYt3Ew1g3tyee3JzcBhpa9tge36dVURERGxVDJjGysc23dJuorqq/7HqdbTzgEmAN+StCbwMHBUL119h2pZwt2SBMwG3lPOTQP2sf07SY9Szdr2ltheCFwk6X7gfqplDz1qGzmityoRERHRR7Jz80qseCQNtz23JLE3A5Ns393suPqrVqu5Xq83O4yIiIhBI2m67WXynPfM2MaKanK5uWsoMGVFTGojIiJiYCWxjRWS7cOaHUNEREQsX3LzWERERES0hCS2EREREdESkthGREREREtIYhsRERERLSE3j0U0UceTHbRNaWt2GL1qn9De7BAiIiJ6lRnbWK5Imiqpx2fbSfp4eX5t5/tflC1wByqGMySd3M252wZqnIiIiBhYSWxj0KmyNL97Hwf+mdjafqftp5c+st7Z3nUwxomIiIj+y1KEGBSSRgPXAXcAOwJfkXQssAbwe+Ao23O7tLkQ2AkYBlxu+3RJJwIbAb+W9ITtvSTNAmq2n5B0EnB06eI7tr9exv4f4BZgV+DPwLttP1f6OxZ4CbjP9gdK220kTQVGAV+3fV6Jaa7t4ZLGA2cCzwCbA78GPgoI+C5QAwx8z/bXuvtcxsx/gfojf4Az5vTr84yIiIhFJbGNwbQFMAH4HXAFsLftZyV9CjiJKlFs9Fnbf5c0BLhB0na2zyvJ6162n2isLGlH4CjgTVQJ5h2SbgKeKmN/0PaHJf0YOAi4BDgV2MT2/C7LGbYC9gLWBh6UdKHtF7vEtzOwDfAo8EvgfcAjwEjb25aYFlkiIWkSMAlg1Aj17ZOLiIiIXmUpQgymR23fDryZKiG8VdIMqmT3DYupf4iku4F7gDGlTU92B660/WyZ/b0C2KOce8T2jHI8HRhdjmcCl0r6ENWsbadrbc8vyfPfgNcuZrw7bT9sewFwWRn/YWBTSedL2hf4R9dGtifbrtmuPTZsM0Y//8NeLisiIiL6IoltDKZny6uA622PLT/b2D6msaKkTYCTgbfZ3g64Fhi6FGPPbzhewMvfVuwPfBMYB9wladVe6jdy1/e2nwK2B6ZSLXH4zlLEHBEREf2QxDaa4XZgN0mbA0haS9KWXeq8iioRniPptcB+DeeeoVoi0NU04D2S1pS0FvDeUrZY5Qa2jW3/GvgUMAIY3o/r2FnSJqWfQ4FbJK0PrGL7p8BpVAlzREREDIKssY1BZ3u2pInAZZLWKMWnAQ811LlX0j3AA8AfgVsbupgM/FLSX2zv1dDmbkkXA3eWou/YvqfcPLY4Q4BLJI2gmkU+z/bTUp/Xvd4FfIOXbx67EmgDLmp46sOne+qgbeQI6mfv39fxIiIiogeyu36bGhG9KU9FONn2AUvTT61Wc71eH5igIiIiVgCSptvu8Zn1SypLESIiIiKiJWQpQsQSsD2V6gaxiIiIWE5kxjYiIiIiWkIS24iIiIhoCUlsIyIiIqIlJLGNiIiIiJaQm8cimqjjyQ7aprQ1O4wetU9ob3YIERERfZIZ21jhSRov6Zpuzs0qu4Eh6bbyOlrSYYMZY0RERCx7SWxjuaXKgP2O2t61HI4GkthGRES0mCxFiOVK2f72OuAOYEfgK5KOBdYAfg8cZXuupH2BrwPzgFsa2q8HXAaMBP6PaqvcznNzbQ8Hzga2ljQDmGL7a11iOBI4GTAw0/YRJa7vAesDs0scfyhb+D4H7AC8BjgaOBLYBbjD9sSernfM/Beo56v+iIiIAZEZ21gebQFcALwFOAbY2/Y4oA6cJGko8G3gXVTJ7+sa2p4O3GJ7DHAlMGox/Z8KTLM9djFJ7RjgNOCttrcH/rWcOp8qCd4OuBQ4r6HZq6kS2U8AVwFfA8YAbZLGdh1c0iRJdUn12fOypXVERMRASWIby6NHbd8OvBnYBri1zK5OAN4AbAU8Yvu3tg1c0tB2z873tq8Fnurn2G8FfmL7idLH30v5LsAPy/EPgN0b2lxd4mgHHrfdbnsh0EG17OEVbE+2XbNd22BNdT0dERERSyhLEWJ59Gx5FXC97Q82nlzcLGiTzS+vCxuOO9/3+DfW7k2XVUwRERErnczYxvLsdmA3SZsDSFpL0pbAA8BoSZuVeo2J782UG8Mk7Ue1TKCrZ4C1uxnzRuDgslYXSeuW8tuAD5Tjw4FpS3RFERERscwksY3llu3ZwETgMkkzqW4G28r288Ak4FpJdwN/a2j2b8CekjqA9wF/WEzXM4EFku6V9AlJG0n6RRmzAzgLuEnSvcB/ljYnAEeVOI7g5bW3S6Vt5IiB6CYiIiIAVUsDI6IZarWa6/V6s8OIiIgYNJKm264ti74zYxsRERERLSGJbURERES0hCS2EREREdESkthGREREREtIYhsRERERLSGJbURERES0hCS2EREREdESsqVutARJU4GTbdclHQycCTwGnAIcafvEZsbXnY4nO2ib0tbsMHrUPqG92SFERET0SRLbWOYkrWr7pUEc8hjgw7ZvKe+zA0JERMRKIIlt9Imk0cAvgenAOKADOBLYmmrb2eHAE8BE238tM6gzgN2ptsT9A3A6sACYY3tPSUOBC4Ea8BJwku1fS5oIHAisCWwGXGn7kyWOC4GdgGHA5bZP7xLn58uY35V0FXAt1UzuAZLOAEYBm5bXr9s+r7T7GbAxMBQ41/bkUj4XOBc4AHgOeLftxyW9FvhW6QvgONu3SfoQcCKwOnAH8FHbC7r7XMfMf4F6ZkQjIiIGRNbYRn+8EbjA9tbAP4DjgfOB99veEfgecFZD/dVt12z/B/B54B22t6dKWintbbsN+CAwpSS7AGOBQ4E24FBJG5fyz5Zt+LYD3iJpu8YAbZ9JNUN7uO1TFnMNWwHvAHYGTpe0Wik/ulxDDThR0nqlfC3g9hL3zcCHS/l5wE2lfBzQIWnrEvNutsdSJfGH9/iJRkRExIDJjG30xx9t31qOLwE+A2wLXC8JYAjw14b6P2o4vhW4WNKPgStK2e5UiTG2H5D0KLBlOXeD7TkAku4D3gD8EThE0iSq390NgW2Amf24hmttzwfmS/ob8FrgT1TJ7HtLnY2BLYAngReAa0r5dODt5fitVDPWlBnZOZKOAHYE7iqfxzDgb10DKPFPAhg1Qv0IPSIiInqSxDb6w13ePwN02N6lm/rP/rOhfaykNwH7A9Ml7djLWPMbjhcAq0raBDgZ2Mn2U5Iuplo60B+L63c8sDewi+15ZRlFZ78v2nZj/R76FjDF9qd7CqAsc5gMsMaGW3j0qdcy6+z9+3kZERER0VWWIkR/jJLUmcQeBtwObNBZJmk1SWMW11DSZrbvsP15YDbVrOg0ylf1krakWvf6YA/jv4oqWZ5T1rjuNwDXBDACeKoktVsBb+5DmxuA4wAkDZE0opS9X9JrSvm6kt4wQDFGREREL5LYRn88CBwv6X7g1ZT1tcCXJd1LdbPYrt20/aqkdkm/AW4D7gUuAFaR1E61bGFiWSawWLbvBe4BHgB+SLW8YSD8kmrm9n7gbKqEvTf/CuxVYp8ObGP7PuA04FeSZgLXUy2XiIiIiEGgl79ljeheeSrCNba3bXIoLaVWq7lez9PIIiJi5SFperkRfMBlxjYiIiIiWkJuHos+sT2L6gkIEREREculzNhGREREREtIYhsRERERLSGJbURERES0hCS2EREREdESkthGREREREvIUxEimqjjyQ7aprQ1O4xutU9ob3YIERERfZYZ22hZkhZImtHwM1pSTdJ55fx4Sd3tlBYRERErmMzYRit7zvbYLmWzgM6tvsYDc6m2+I2IiIgVXLbUjZYlaa7t4V3KxgMnAx8DbgcWALOBE4BjgH8ANeB1wCdtX17anQIcAqwBXGn7dElrAT8GXg8MAb5g+0eSzgYOBF4CfmX75O5irG00xPW/LBi4i46IiFjOLcstdTNjG61smKQZ5fgR2+/tPGF7lqRvAXNtnwMg6RhgQ2B3YCvgKuBySfsAWwA7AwKukrQnsAHwF9v7l/YjJK0HvBfYyrYlrdM1KEmTgEkAo0ZoWVx3RETESilrbKOVPWd7bPl5b+/VAfiZ7YW27wNeW8r2KT/3AHdTJb1bAO3A2yV9WdIetucAc4Dnge9Keh8wr+sAtifbrtmuPTZsM0afeu3SXWVEREQASWwjuprfcKyG139vSJI3t/1d2w8B46gS3C9K+rztl6hmdi8HDgB+OZjBR0RErMyyFCFWZs8Ar+pDveuAL0i61PZcSSOBF6n+fv5u+xJJTwP/Imk4sKbtX0i6FXh4mUUfERERr5DENlZmV1OtoX031c1ji2X7V5K2Bv5PElRPUvgQsDnwVUkLqRLd44C1gZ9LGko103tSTwG0jRxB/ez9B+JaIiIiVnp5KkJEE9VqNdfr9d4rRkREtIhl+VSErLGNiIiIiJaQxDYiIiIiWkIS24iIiIhoCUlsIyIiIqIlJLGNiIiIiJaQxDYiIiIiWkKeYxvRRB1PdtA2pa3ZYSyifUJ7s0OIiIjot8zYxnJH0usl/VzSbyX9XtK5klZvckyf6UOdiyW9fzDiiYiIiEUlsY3liqqtva4AfmZ7C2BLYDhw1lL2u7TfTvSa2EZERERzZSlCLG/eCjxv+yIA2wskfQJ4RNJbgKNsdwBImgqcDNwPnA9sC6wGnGH755ImAu+jSoyHSPoNcJ3tqyRdCTxl+2hJRwOb2f6spJ8BGwNDgXNtT5Z0NjBM0gygw/bhko4sYxuYafuIEv+ekk4CXgd80vblPV3smPkvUM/X/hEREQMiiW0sb8YA0xsLbP9D0h+Aa4FDgNMlbQhsaLsu6UvAjSVJXQe4U9L/lubjgO1s/13SB4A9gKuAkcCGpc4ewH+X46NL3WHAXZJ+avtUSR+zPRZA0hjgNGBX209IWrch3A2B3YGtyjiLJLaSJgGTAEaN0BJ/UBEREfFKWYoQK5KpQOca1kN4OWncBzi1zKhOpZptHVXOXW/77+V4GrCHpG2A+4DHS4K8C3BbqXOipHuB26lmbrdYTBxvBX5i+wmAhv6hWkKx0PZ9wGsXdxG2J9uu2a5tsGYS24iIiIGSGdtY3tzHy8krAJJeRZWo3gU8KWk74FDg2M4qwEG2H+zS7k3As53vbf+5zOjuC9wMrEuVIM+1/Yyk8cDewC6255WlDkP7Gf/8xhB6q9zuTfvZfURERHQnM7axvLkBWLOsYUXSEOA/gIttzwN+BHwSGGF7ZmlzHXBCufEMSTv00P/twMepEttpVOtkp5VzI6jW3c6TtBXw5oZ2L0parRzfCBwsab0yXuNShIiIiGiSJLaxXLFt4L1UieNvgYeA53n5qQSXAx8AftzQ7AtUN43NlNRR3ndnGrCq7d8Bd1PN2nYmtr8EVpV0P3A2VRLcaXLp/9Jy89pZwE1l2cJ/Lun1to0csaRNIyIiogtVeURENEOtVnO9Xm92GBEREYNG0nTbtWXRd2ZsIyIiIqIlJLGNiIiIiJaQxDYiIiIiWkIS24iIiIhoCUlsIyIiIqIlJLGNiIiIiJaQnccimqjjyQ7aprQ1O4xXaJ/Q3uwQIiIilkhmbFuYpPUkzSg/j0n6c8P71Zegv1dJeljSpuX96pI6JNXK+40k/VjS7yRNl3StpM0l7S3pZwN9fRERERGNMmPbwmw/CYwFkHQGMNf2OUvR3z8knQacD+wPfAqYartetrP9GTDZ9iFlzB2A1/a1f0mr2n5pSeOLiIiIlVsS25WQpE8Dc2xfIOl84I2295G0D3C47QmSPkSVuAq4yvZnAGz/UNIxkk4BjqEkzsDbqRLn73SOY/ueMt7ewNqSrgDGAHfYPrKc+xNwCfAO4EuSfg9cCAwDfgscbXuOpFuAO4E9gTWBI4HPAtsCl9o+o/T3yXJ2x0DgAAAgAElEQVQO4L9sny9pbaoteDcChgBn2L68XO9XStntwPG2XygxfZ8qeX8B+AjVFrubAWfb/nYZ61TgfcBQ4HLbZ3Y3Vnf/FmPmv0D9kT/AGXN6+2eLiIiIXiSxXTlNA44HLgDGAatJGgLsAdws6fXAF4EaMAf4X0kH2L6mtD8R+A1V0vl0KdsWmN7DmOOoktrHgdslvdn27eXc32zvACDpPuDDtm+V9CXgc8DJpd5ztmuS/h/V7PCOJb6HJX0deCNwOLAT1e/2nZKmAtsAs2zvV8YYIWlN4HvAW2z/XtKlwCTgG2WsR2xvXxL/7wK7A8OBe4FvS3onMAp4E1Xy/wtJuwIbdx2rp3+IiIiIGDhZY7tyugvYSdI6wNzyfhxVYjuNKlm70fYTtl8Efkg1U9ppP+CvVMlsX91u+y+2FwAzgNEN534E1ZpgYKjtW0v5lC7jXlVe24F224/bfh6YBbyeKvn8qe3nbD9DlfzuAcwE9pV0tqTdbM8BtgYesv370uf3exjrdtvP2n4cWChpOLBP+RzuAe4GNge27GasV5A0SVJdUn32PPfx44uIiIjeJLFdCdmeD/yZ6iv7W6mS2bcBb7D9UE9ty2zuR4GdgXdLGlNOdVDNoHZnfsPxAl75bcGzfQy9s4+FXfpbSA/fPti+n2r2uQM4W9JnBmAsAV+0Pbb8bG774r6MZXuy7Zrt2mPDNssyhIiIiAGSxHblNY3qK/6beXlpQr2cuwPYqzxVYVXgA8BN5dy5wJm2/wScAnyzlP8KeJWkozsHkLS9pN36GlC52e258pU+wBEN4/b1mt4raViZVX03ME3SSKr1vz8A/oNqdvp+YIvOJzwAH+rnWNcBx0haC6qEX9L63YwVERERgyBrbFde06gS09ttPy/pxVKG7T9J+hwwlWpm8mrb10raj+opB1NKvSslfVjS4bYvlfRu4FxJnwWeBx4GPg5s0o+4jgAulDQM+B1wVF8b2r5T0mVUSysALrTdXtbDni1pIdXNYMfanifpGOCKsr74DuDb/RjrF5K2olovDPAMcBjVet5XjNXXPiMiImLpyM4av4hmqdVqrtfrvVeMiIhoEZKm264ti76zFCEiIiIiWkIS24iIiIhoCUlsIyIiIqIlJLGNiIiIiJaQxDYiIiIiWkIS24iIiIhoCUlsIyIiIqIlZIOGiCbqeLKDtiltzQ4DgPYJ7c0OISIiYqlkxjZiKUga37AFcERERDRRZmwjlpCkVYHxwFzgtiXpY8z8F6hnpjQiImJAJLGNlYaktYAfA68HhgBfAL5cyvYDngMOs/07SaOB7wHrA7OBo2z/QdLFwPPADsCfgV2BBZI+BJwAvA44HVgAzLG952BdX0RExMouiW2sTPYF/mJ7fwBJI6gS2zm22yQdCXwdOAA4H5hie4qko4HzgPeUfl4P7Gp7gaQzgLm2zyl9tgPvsP1nSessLghJk4BJAKNGaBldakRExMona2xjZdIOvF3SlyXtYXtOKb+s4XWXcrwL8MNy/ANg94Z+fmJ7QTdj3ApcLOnDVLPCi7A92XbNdu2xYZst6bVEREREF0lsY6Vh+yFgHFWC+0VJn+881VitD10928MYxwKnARsD0yWtt4ThRkRERD8lsY2VhqSNgHm2LwG+SpXkAhza8Pp/5fg24APl+HBgWjfdPgOs3TDGZrbvsP15qrW5Gw/cFURERERPssY2ViZtwFclLQReBI4DLgdeLWkmMB/4YKl7AnCRpFMoN4910+fVwOWS3l3afELSFoCAG4B7ewxo5Iilu6KIiIj4J9l9+eY1ojVJmgXUbD/RjPFrtZrr9Xozho6IiGgKSdNt15ZF31mKEBEREREtIUsRYqVme3SzY4iIiIiBkRnbiIiIiGgJSWwjIiIioiUksY2IiIiIlpDENiIiIiJaQm4ei2iijic7aJvS1uwwAGif0N7sECIiIpZKZmxjhSZptKTf9KP+gZJOLcdnSDp5afuMiIiI5UNmbGOlYvsq4KpmxxEREREDL4lttIJVJV0KjAM6gCOB+yg7ikmqAefYHi9pYin/WGMHknYEvlfe/qqhfDTwA2CtUvQx27dJGg+cCTwDbA78Gvio7YWS9gW+BAwBnrD9tu4CH7PeGOoTsvNYRETEQMhShGgFbwQusL018A/go0vQx0XACba371L+N+DttscBhwLnNZzbGTgB2AbYDHifpA2AbwMHlb4O7jqQpEmS6pLqs2fPXoJQIyIiYnGS2EYr+KPtW8vxJcDu/WksaR1gHds3l6IfNJxeDfi2pHbgJ1RJbKc7bT9sewFwWRn3zcDNth8BsP33ruPZnmy7Zru2wQYb9CfUiIiI6EES22gFXsz7l3j593voUvT9CeBxYHugBqzey7j90v7nOYw+9doljy4iIiL+KYlttIJRknYpx4cBtwCzgB1L2UE9Nbb9NPC0pM6Z3sMbTo8A/mp7IXAE1brZTjtL2kTSKlTLFG4Bbgf2lLQJgKR1l/iqIiIiol+S2EYreBA4XtL9wKuBC4F/A86VVAcW9KGPo4BvSpoBqKH8AmCCpHuBrYBnG87dBXwDuB94BLjS9mxgEnBFafOjngZtGzmCWWfv34fwIiIiojey+/3tacRKrzwV4WTbByxNP7VazfV6nooQERErD0nTbdeWRd+ZsY2IiIiIlpDn2EYsAdtTgalNDiMiIiIaZMY2IiIiIlpCEtuIiIiIaAlJbCMiIiKiJSSxjYiIiIiWkJvHIpqo48kO2qa0NTsM2ie0NzuEiIiIpZYZ24iIiIhoCUlsY6UmKd9aREREtIj8Rz1anqQjgZMBAzOptth9HtgBuFXS54DzgW2B1YAzbP9c0hDgbGA8sAbwTdv/VXYdOxN4Btgc+DXwUWAisJ3tj5dxPwxsY/sT3cU2Zv4L1LMMICIiYkAksY2WJmkMcBqwq+0nJK0L/Cfw+lK2QNKXgBttHy1pHeBOSf8LHA7Msb2TpDWokuBfla53BrYBHgV+CbwP+DHwWUmn2H4ROAr4yGJimgRMAhg1Qsvu4iMiIlYyWYoQre6twE9sPwFg+++l/Ce2F5TjfYBTJc2g2k1sKDCqlB9Zyu8A1gO2KG3utP1w6eMyYHfbc4EbgQMkbQWsZnuR6Vjbk23XbNc2WDOJbURExEDJjG2srJ5tOBZwkO0HGytIEnCC7eu6lI+nWtbQqPP9d4DPAA8AF/UWRLs37V/UERER0a3M2EaruxE4WNJ6AGUpQlfXASeURBZJOzSUHydptVK+paS1yrmdJW0iaRXgUOAWANt3ABsDh1HN5EZERMQgyYxttDTbHZLOAm6StAC4ZzHVvgB8HZhZEtVHgAOoZl9HA3eXpHc28J7S5i7gG7x889iVDf39GBhr+6mBv6KIiIjoThLbaHm2pwBTejj/HIu5ycv2QqplBZ9pLC8Tu/+wfUA3Xe4OfK0vsbWNHNGXahEREdEHWYoQMUAkrSPpIeA52zc0O56IiIiVTWZsI/rJ9lSqpyd0LX8a2HKw44mIiIhKZmwjIiIioiUksY2IiIiIlpDENiIiIiJaQhLbiIiIiGgJSWwjIiIioiXkqQgRTdTxZAdtU9qaGkP7hPamjh8RETFQMmMbERERES0hM7YRTTRm/gvUM2MaERExIDJjG9ELSWtJulbSvZJ+I+lQSTtKuknSdEnXSdpQ0qqS7pI0vrT7d0lnNTn8iIiIlUZmbCN6ty/wF9v7A0gaAfwP8G7bsyUdCpxl+2hJE4HLJZ1Q2r2pa2eSJgGTAEaN0CBdQkREROvLjG1E79qBt0v6sqQ9gI2BbYHrJc0ATgNeD2C7A/gBcA1wtO0XunZme7Ltmu3aY8M2Y/Sp1w7ahURERLSyzNhG9ML2Q5LGAe8EvgjcCHTY3qWbJm3A08BrBinEiIiIIDO2Eb2StBEwz/YlwFeplhdsIGmXcn41SWPK8fuAdYE9gfMlrdOksCMiIlY6mbGN6F0b8FVJC4EXgeOAl4DzynrbVYGvS3ocOBt4m+0/SvoGcC4woduOR46gfvb+y/wCIiIiVgZJbCN6Yfs64LrFnNpzMWVbNrQ7b5kFFREREYvIUoSIiIiIaAlJbCMiIiKiJSSxjYiIiIiWkMQ2IiIiIlpCEtuIiIiIaAlJbCMiIiKiJeRxXxFN1PFkB21T2po2fvuE9qaNHRERMdAyYxstTdIsSes3O46IiIhY9pLYRkRERERLyFKEWKFIGg38EpgOjAM6gCOBXYBzqH6n7wKOsz2/od0w4ArgCtvflvQh4ERgdeAO4KO2F0iaC1wIvBP4K/AZ4CvAKODjtq+SNLTUqVFtrXuS7V9LmggcCKwJbAZcafuTPV3PmPkvUM9ygIiIiAGRGdtYEb0RuMD21sA/gJOAi4FDbbdRJbfHNdQfDlwNXFaS2q2BQ4HdbI8FFgCHl7prATfaHgM8A3wReDvwXuDMUud4wGWsDwJTSrILMLb03QYcKmnjrsFLmiSpLqk+e56X/tOIiIgIIIltrJj+aPvWcnwJ8DbgEdsPlbIpwJ4N9X8OXGT7++X924AdgbskzSjvNy3nXqCaEQZoB26y/WI5Hl3Kdy/jYvsB4FFgy3LuBttzbD8P3Ae8oWvwtifbrtmuPTZssyW5/oiIiFiMLEWIFVHXac6ngfV6qH8rsK+kH9o2IGCK7U8vpu6LpQ7AQmA+gO2Fkvry9zK/4XgB+RuLiIgYNJmxjRXRKEm7lOPDgDowWtLmpewI4KaG+p8HngK+Wd7fALxf0msAJK0raZGZ1R5MoyxdkLQl1frbB5fkQiIiImLgJLGNFdGDwPGS7gdeDXwNOAr4iaR2qpnWb3Vp86/AMElfsX0fcBrwK0kzgeuBDfsx/gXAKmWsHwETG29U64+2kSOWpFlEREQshl7+1jVi+VeeinCN7W2bHMqAqNVqrtfrzQ4jIiJi0Eiabru2LPrOjG1EREREtITc2BIrFNuzgJaYrY2IiIiBlRnbiIiIiGgJSWwjIiIioiUksY2IiIiIlpDENiIiIiJaQm4ei2iijic7aJvS1rTx2ye0N23siIiIgZYZ21juSVogaUbDz6n9bP8eSds0vJ8qaZHn50kaL2lOGeN+SacPRPwRERExODJjGyuC52yPXZKGklYF3gNcA9zXhybTbB8gaS1ghqSrbd/dl3Fsv7QkMUZERMTASGIbKyxJnwfeBQwDbgM+YtuSpgIzgN2BK4EDgbdIOg04qDQ/WNIFwDrAMbanNfZt+1lJ04HNJd0HXAjUgJeAk2z/WtJE4H3AcGBImeE9A3iC6lm704EPuYft/cbMf4F6lgNEREQMiCxFiBXBsC5LEQ4t5d+wvVPZXncYcEBDm9Vt12yfBVwFnGJ7rO3fl/Or2t4Z+DiwyJIDSesBbwY6gOMB224DPghMkTS0VB0HvN/2W8r7HUqf2wCbArstpu9JkuqS6rPnZUvriIiIgZIZ21gRdLcUYS9JnwTWBNalSkKvLud+1EufV5TX6cDohvI9JN0DLATOtt0h6YvA+QC2H5D0KLBlqX+97b83tL/T9p8AJM0ofd/SOLDtycBkgNpGQ5LZRkREDJAktrFCKjOmFwA123+UdAYwtKHKs710Mb+8LuCVfwfTbB+wmPrd6TrO/Ibjrn0vot2b9mOoiIiI6EmWIsSKqjOJfULScOD9PdR9Blh7KcaaBhwOIGlLYBTw4FL0FxEREctAEttYEXRdY3u27aeBbwO/Aa4D7uqh/X8Dp0i6R9JmSzD+BcAqktqpljhMtD2/lzZ90jZyxEB0ExEREYB6uGE7IpaxWq3mer3e7DAiIiIGjaTpthd5nvxAyIxtRERERLSEJLYRERER0RKS2EZERERES0hiGxEREREtIYltRERERLSEJLYRERER0RKS2EZERERES8iWuhFN1PFkB21T2poydvuE9qaMGxERsaxkxjaiDyQtKLuedUi6V9L/k7RKOTde0jWSxkh6SNKwhnbXSvpg8yKPiIhYeWTGNqJvnrM9FkDSa4AfAq8CTu+sYLtD0hXAZ4HTJL0HWM32Zd11Omb+C9QzcxoRETEgMmMb0U+2/wZMAj4mSV1OnwkcLGkscDZw/GDHFxERsbJKYhuxBGw/DAwBXtOlfB5wMnAz8N+2f9u1raRJkuqS6rPneVDijYiIWBlkKULEALN9taSngQu6OT8ZmAywxoZbJLONiIgYIJmxjVgCkjYFFgB/66bKwvITERERgySJbUQ/SdoA+BbwDduZcY2IiFhOZClCRN8MkzQDWA14CfgB8J9L22nbyBFL20VEREQUSWwj+sD2kB7OTQWmdikbvWwjioiIiK6yFCEiIiIiWkIS24iIiIhoCUlsIyIiIqIlJLGNiIiIiJaQxDYiIiIiWkIS24iIiIhoCXncV0QTdTzZQduUtkEft31C+6CPGRERsaxlxrYFSTpR0v2SLpP0v5JmSDpU0h6SOsr7YZK+Wt5/VdIGku6QdE+pd3Dp49elz8skzZT0iWZfX0RERMTiZMa2NX0U2Bt4PfBF22MBJH0L+Hfbl5T3k4B1bS+Q9AGg3fa/lHO/BD5s+xZJrwN2sr15My4mIiIioi+S2LaYkrxuClwPbAnMLVvBXggcArxD0n7A2sBwYLqky4DjqbaNrQFXArsD35V0FfAOYGTp5wTgC8DJtuuS1gfqtkdLmgjUbH+sxHINcI7tqZLm2h5eyt8PHGB7oqSLgWtsX17OzbU9XNL4MsYBpfwbZZyLJc0q4zxR4j3H9nhJZwBzbZ9T2vwGOKB8NNfY3raUnwwMt32GpKnL+lp6+vcaM/8F6lkWEBERMSCS2LYY28dK2hfYA9iWVyaHu7Bo4tU5m/s4r0zk9uLlhO+bpV1n3UG/rlZSZsonAYwakc8yIiJioGSNbcQgsz3Zds127bFhmzH61GubHVJERERLSGIbS+IlXv7dGdpNeddz7qb8n20krQKs3oe++jv+QPYF/b+WiIiIGARJbGNJzAJ2LMfv71I+VtIqkjYGdm4497ikrUvC995u+joQWK0cPwpsI2kNSesAb+umzUFdyscBSBoHbNI5NvAaSetJWoOX190O1rVERETEIEhiG0viHOA4SfcA6zeU3wo8AtwHnAfc3XDuVOAa4Dbgrw3l3wbeIuleYBfgWQDbfwR+DPymvN7T0ObfgHMl1YEFDeU/BdaV1AF8DHio9PUicCZwJ9VNdQ8M5rX0pG3kCGadvX9v1SIiIqIPZLv3WhGxTNRqNdfr9WaHERERMWgkTbddWxZ9Z8Y2IiIiIlpCEtuIiIiIaAlJbCMiIiKiJSSxjYiIiIiWkMQ2IiIiIlpCEtuIiIiIaAmrNjuAiJVZx5MdtE1pG9Qx2ye0D+p4ERERgyUztrFCk7SHpA5JM8puYIc1nJso6RvNjC8iIiIGTxLbWNEdDvy77bHAa4HDeqm/CElDBjyqiIiIGHTZeSyWmKTPAR8CZgN/BKYDc4BJwOrA74AjbM+TdDHwHLAD8BrgaOBIqq1n77A9sfS5D9WWuWsAvweOsj1X0tuotr9dFbgLOA44AvhKGfM2YDNga6qtcKcATwEHAmuWc1fa/mQZZy7wX8DewPFlvFf0b3u+pFmlr3cBqwEH235A0lrA+cC2pfwM2z+XNAa4qFz/KsBBtn/b3WdY22iI639Z0N3piIiIlpOdx2K5I2kn4CBge2A/oPMX9ArbO9neHrgfOKah2aupEtlPAFcBXwPGAG2SxkpaHzgN2Nv2OKAOnCRpKHAxcKjtNqrk8zjb3yn9nGL7cOBUYJrtsba/VsYcCxwKtAGHStq4lK9FlVBvX8ZZpP+GuJ8o8VwInFzKPgvcaHtnYC/gqyXZPRY4t8wg14A/LeazmySpLqk+e17+xzIiImKgJLGNJbUb8HPbz9t+Bri6lG8raZqkdqplAmMa2lzt6iuCduBx2+22FwIdwGjgzcA2wK2SZgATgDcAbwQesf1Q6WcKsGcf47zB9hzbzwP3lf4AFgA/Lce99X9FeZ1e4gTYBzi1xDkVGAqMAv4P+IykTwFvsP1c14BsT7Zds13bYE318TIiIiKiN3kqQgy0i4H32L5X0kRgfMO5+eV1YcNx5/tVqZLN621/sLFDSdsvRTyN4yzg5d/55233dQ1AZx+N7UW1zODBLnXvl3QHsD/wC0kfsX1jdx23e9M+hhARERG9yYxtE0k6uC9ly6lbgXdJGippOHBAKV8b+Kuk1ahmbPvjdmA3SZsDSFpL0pbAg8DoznKqtbU3Lab9M2X8/upr/42uA06QpBLrDuV1U+Bh2+cBPwe2W4J4IiIiYgkksW2uT/exbLlj+y6q9a0zgf+hWl4wB/gccAdV4vtAP/ucDUwELpM0k+pr/a3KMoKjgJ+UJQ4LgW8tpouZwAJJ90r6RD/G7Wv/jb5AddPYTEkd5T3AIcBvyhKFbYHv99RJ28gRfQ0zIiIiepGnIjSBpP2Ad1IlQT9qOPUqYJtyQ9JyT9Lw8sSCNYGbgUm27252XCuSWq3mer3e7DAiIiIGzbJ8KkLW2DbHX6juxD+Q6oakTs9QPTFgRTFZ0jZUN05NSVIbERERzZTEtgls3wvcK+lS2y81O54lZbvfmyFERERELCtJbJtA0o9tHwLcI2mRtSC2c8NRRERERD8lsW2Ofy2vB/RYKyIiIiL6LIltE9j+a3l9tNmxRERERLSKJLZNIOkZoNvHUdh+1SCGExEREdESktg2ge21ASR9Afgr8AOqnawOBzZsYmgRERERK6w8x7aJJN1re/veylY2khZQbfjQ6T22Z/VQ/zO2vzSA458BzLV9zkD12Z1hmwzz5mds3nvFAdQ+ob33ShEREcvIsnyObXYea65nJR0uaYikVSQdDjzb7KCWA8/ZHtvwM6uX+p/p7wCS8m1FREREi8l/3JvrMODc8mOqbWjzbNjFkDQRqNn+WHl/DXAOsC8wrGxh2wF8FrjG9ral3snAcNtnSJoKzAB2p9q296fA94D1gdnAUbb/0GXcsVTb664J/B442vZTknYCvku1/e71wH62t5V0M3Ci7Rml/S3A8eXZxYsYM/8F6plBjYiIGBCZsW0i27Nsv9v2+rY3sN3jV+4rkWGSZpSfK3uqaPtUXp7hPbwPfa9uu2b7P4DzqXZM2w64FDhvMfW/D3yq1GkHTi/lFwEfsT0WWNBQ/7vARABJWwJDu0tqIyIiYmBlxrYJJJ1Pz09FOHEQw1kePVcSxmXhRw3HuwDvK8c/AL7SWFHSCGAd2zeVoinATyStA6xt+/9K+Q95+ZnEPwE+J+kU4Gjg4q4BSJoETAIYNUJLez0RERFRZMa2OerAdGAoMA74bfkZC6zexLiWZy/xyt/XoUtYb5muYbY9j2ppwruBQ6hmgrvWmVxmjWuPDdtsWYYTERGxUkli2wS2p9ieAmwHjLd9vu3zgbdRJbexqFnA2HKT3cbAzg3nXpS0Wjl+HHiNpPUkrUHPu7vdBnygHB8OTGs8aXsO8JSkPUrREcBNtp8GnpH0plL+AV7pO1TLGu6y/VSfrzAiIiKWSpYiNNergVcBfy/vh5eyWNStwCPAfcD9wN0N5yYDMyXdbftwSWcCdwJ/Bh7ooc8TgIvKsoHZwFGLqTMB+JakNYGHG+ocA3xb0kLgJmBOZwPb0yX9g2odbkRERAySPMe2iSQdBZwB/Jpqg4Y9gTPKbG4sxyQNtz23HJ8KbGj7X8v7jYCpwFa2F/bUT61Wc71eX9bhRkRELDeW5XNsM2PbRLYvkvQ/QOdX2p+y/VgzY4o+21/Sp6n+hh7l5SchHAmcBZzUW1IbERERAyuJbRNJErA3sKntMyWNkrSz7TubHVv0zPaPeOUTFjrLv0/1iLCIiIgYZLl5rLkuoHrk1AfL+2eAbzYvnIiIiIgVV2Zsm+tNtsdJugeg7GiVx31FRERELIHM2DbXi5KGUDZrkLQB1RatEREREdFPSWyb6zzgSqrnrp4F3AJ8qbkhRURERKyYshShiWxfKmk61cYMAt5j+/4mhxURERGxQkpi2yRlCUKH7a3oeROBaGEdT3bQNqVtUMdsn9A+qONFREQMlixFaBLbC4AHJY1qdiyNJN3WhzofLztxLcs4xkp6Z8P7A8tGCMucpDUk/a+kGZIOXYL2c5dFXBEREdGzzNg216uBDkl3As92Fto+sFkB2d61D9U+DlwCzOtrv5KGlGS+r8YCNeAXJa6rgKv60X5p7FDGHDtI40VERMQAyJa6TSTpLYsrt33TYMfSSdJc28Mljafa7vcJYFtgOvAh4ATgHOBB4Anbe0naB/g3YA3g98BRtudKmkW1icHbga8Ad1E9p3cDqqT4w7YfkHQwcDqwAJhDtWnF74BhwJ+Bfy/HNdsfk3Qx8A+qxPd1wCdtXy5pFeAbwFuBPwIvAt8r5z4PvKv0cxvwEduWdCJwLPAScB9wYjm/AfAIcBBwQxn7CUk14Bzb4yUNB84vcRj4N9s/bfgM1weuBr5o+9rFfd61jYa4/pf+5PsRERErtmyp26Js3yTpdcDOVInRXcvZlro7AGOAvwC3ArvZPk/SScBeJdFbHzgN2Nv2s5I+BZwEnFn6eNL2OABJNwDH2v6tpDdRbVDxVuDzwDts/1nSOrZfKIlozfbHStuJXWLbENgd2Or/s3fnUXZVZfrHvw9hCgQikzREY8lkJJREuNgyj9oOKCjQCKgJ0KahcV6o/BQFBGdbBEQx2jRRMIyCNLQKLVOYhBsSUhQN2G1wYNAQCVMggfD8/ji7mktRValKquomt57PWrXq3H322XufIlm8ees9Z1Nlci8F3g+0AdsCrwb+Gzi39P+e7S+XsX4K7E8VdJ4AvN724jL3Qkn/BBxve//Sv7efzxeBJ2y3l34bdJ2QtGlZ14m2r228SNJUYCrA+LG9jh0REREDlBrbJioB1B1UAdnBwO2Sjmruql7mDtt/tv0iMIcqaOzurVSB5C2S5gCTgdc1nL8IoGQ3dwEuKQw3FJkAACAASURBVP1+SBWcQhU0nyfpI8Cofq7tCtsv2r4X2LS07QZcUtofBa5v6L+3pN9K6qAKpieW9rnABZI+SJW1HYj9aNgpzvbj5XANqizvZ7sHtaXfNNs127VHR29J2wk9JnMjIiJigJKxba7PAG+2vQBA0kZUvwY/t8+rhs/ihuOl9PznRcC1tg/r4Ry8VDu8GrCwp7pV28eUDO67gVmSdhzg2vpMe0pamyo7XLP9J0knA2uX0+8G9qAqU/iCpJ5eUfACL/0jcO0ezvfUfxbwD0DTykoiIiJGmmRsm2sB8FTD56dK28ruKWC9cnw7sKukrQAkrStpm+4X2H4SmFfqaVFl+3K8pe3f2v4SMB94bbc5+usW4CBJq5VSgL1Ke1cw+ljJHB9c5l0NeK3t64HPAWOBMT2M+yDQFWwf1NB+LXBc14eGUgQDRwETSmlGREREDIMEtk0g6dOlTvV/gN9KOlnSSVRB4gPNXV2/TAN+Jel62/OBKcAMSXOB26jqXntyBHC0pLuBTuCA0v4tSR2S7qHKWN9NVUaw7QBfuXUZ8Geqh8DOB+6iqoFdCPwIuAf4NdVDbFCVPZxfyhNmA2eWvt2dApwhqU6Vue5yGrCBpHvKPe3ddaK8AeIwYB9J/9LbgtvHjeXBr7+7n7cXERERfclbEZqgBLG9sn3KcK2l1UgaU97IsBFV/fKuK9kDeS9Tq9Vcr9ebvYyIiIhhk7citJgErkPqKkmvAtYETl2Zg9qIiIgYXAlsm0jS9VT1mC9je58mLKcl2N6r2WuIiIiI5khg21zHNxyvTfVg0kBfORURERERJLBtKtuzujXdUrbXjYiIiIgBSmDbRJI2bPi4GtXWrGObtJyIiIiIVVoC2+aaxUs1ti9QvS/16KatJiIiImIVlsC2CSTtBPzJ9uvL58lU9bUPUr2DNUaIzgWdtE/vabOzodExuWPY5oqIiBhu2aChOX4ILAGQtAfwNWA68ATV5gfRT5LeK+mEVp0vIiIi+i8Z2+YYZftv5fhQYJrty4DLJM1p4rpWKZJWt30lcOVwzTnc80VERET/JbBtjlElKHsB2BeY2nAu/00aSPow1WvRDMyl2tL2OeDNVG+RmAvUbH9U0nnAk1QP4f0d8Fnbl0paDfgesA/wJ+B54NxybkfgO8AY4DFgiu1HJN1AtbXvnlT/TY6yfYekKQ3zbQqcA2xRlntsueZi4DVUW/aeavui3u5v4uIl1FMeEBERMSgSRDXHDOBGSY8BzwIzASRtRVWOEICkicCJwC62HytvkfgOVdC4i+2lJdBstBmwGzCBKrN6KfB+oA3YFng18N/AuZLWAM4CDrA9X9KhwFeAo8pY69ieVMpFzgW26zbXmcCNtt8naRRVcPwO4GHb7y738Iq3XEiaSvnHzPixWq6fTURERLxSAtsmsP0VSb+hCsKusd31ZoTVgI81b2UrnX2AS2w/BmD7b5IobUt7ueYK2y8C95aMKlSB7iWl/dGy4xvAG6iC1WvLuKOARxrGmlHmvUnS+mWr3u7r+3DpsxR4QlIH8K+SvgFcZXtm9wXankappa5tPuoVO89FRETE8snDY01i+3bbl9t+pqHtAdt3NXNdq4hn+ji3uOF4WelQAZ22J5WvdttvbzjfPehcZhBq+wFgB6ADOE3Sl/rq3+EtaDvh6mUNGxEREf2QwDZWZtcBh0jaCF6xocVA3AIcJGm1ksXdq7TfD2wiaecy/hql/KHLoaV9N+AJ293LRH5DVVeLpFGSxkraHFhk+3zgW1RBbkRERAyDlCLESst2p6SvUNUjLwVmL+dQl1E9pHcv1cNjd1EFqkskHQycWWphVwe+C3SW656TNBtYg5fqbht9Apgm6Wiqh9qOBdYHviXpRaqH1I7ta2Ht48ZS//q7l/O2IiIiopFeKu+MaF2Sxth+umR/7wB2tf1oH/1vAI63XR/KddVqNdfrQzpFRETESkXSLNu1oRg7GdsYKa4qD3+tSfUKrl6D2oiIiFg1JbCNEcH2XkPZPyIiIpovD49FREREREtIYBsRERERLSGBbURERES0hAS2EREREdES8vBYRBN1LuikfXr7sM3XMblj2OaKiIgYbsnYRr9J2lTSzyT9XtIsSbdJep+kvSRdtYxrT5Z0/ADne7rheKKk6yTdL+l3kr4oSeXcWpL+S9IcSYdK2l1SZ/k8evnu9hVrea+kEwZjrIiIiBgaCWyjX0oQeQVwk+0tbO8IfAB4zTDMPRq4Evi67TcA2wO7AP9SurwZwPYk2xcBRwBfK5+fHYw12L7S9tcHY6yIiIgYGilFiP7aB1hi+5yuBtt/AM6StFdXm6QNgXOBLYBFwFTbc8vp7SXdBmwMfNP2jySNAX4BbEC1de2Jtn/Rbe7DgVtsX1PmXSTpo8ANki4Bzgc2kTQH+AHwj8A/SHqn7SMkfaa0rQVcbvskSW3AL4GbqYLkh4ADbD8r6ePAMcALwL22PyBpClADvgDMBV5v+0VJ6wL3lfsdD5wNbFLu/SO27+vrhzpxo4nUJ2fnsYiIiMGQwDb6ayJwVz/6nQLMtn2gpH2AnwCTyrk3AW8F1gVmS7oa+CvwPttPStoYuF3SlX75Xs8TgVmNk9j+3xIUPwf8E9X2t/sDSNoZuMr2pZLeDmwNvAUQcKWkPYA/lvbDbH9E0sXAQVRB8glUgevisltZ47xPlAB6T+B6YH/g17aflzQNOMb27yT9PfB9qn8QRERExDBIKUIsF0lnS7pb0p3dTu0G/BTA9nXARpLWL+d+YftZ249RBYVdweZXJc0F/gsYB2w6iEt9e/maTRWYT6AKaAHm2Z5TjmcBbeV4LnCBpA9SZW27uwg4tBx/ALioBNm7AJeUwPeHwGY9LUjSVEl1SfX58+evyL1FREREg2Rso786qTKaANg+rmRYB/J7dPfw+QiqX93vWLKeDwJrd+t3L7BHY4OkLYCnS6a3rzlFVW/7w27XtwGLG5qWAl0Pmr27zPce4AuSur+24EqqYHxDYEfgOqos9ELbk1gG29OAaQBrbbZ1959JRERELKdkbKO/rgPWlnRsQ9s6PfSbSRWsUmpvH7P9ZDl3gKS1JW0E7AXcCYwF/lqC2r2B1/Uw5gXAbpL2K+OOBs4EvtmPdf8aOKpkVJE0TtKre+ssaTXgtbavBz5X1jemsY/tp8vaz6AqeVha7nGepEPKOJK0fT/WFxEREYMkGdvoF9uWdCBwuqTPAvOBZ6iCv0YnA+eW0oJFwOSGc3OpShA2Bk61/bCkC4D/kNRBlf19xcNW5YGuA6geVDsbGEVV7vC9fqz7GklvBG4rmd2ngQ9SZWh7Mgo4X9JYqmzvmbYX9pAVvgi4hCpA73IE8ANJJ1I9CHchcPey1hgRERGDQy9/RicihlOtVnO9nrciRETEyCFplu3aUIydUoSIiIiIaAkJbCMiIiKiJSSwjYiIiIiWkMA2IiIiIlpCAtuIiIiIaAkJbCMiIiKiJSSwjYiIiIiWkA0aIpqoc0En7dO779g7dDomdwzbXBEREcMtGduIiIiIaAkJbKMpJG0kaU75elTSQ+V4oaR7B2H8kxvG/J2kn0vadjDW3m2evSRd1cu5ByVtPNhzRkRERM9SihBNYXsBMAmqIBR42va3JbUBPQaKy+F0298ucxwKXCep3fb8QRp/hU3caCL1ydlSNyIiYjAkYxsro1GSfiSpU9I1kkYDSNpS0q8kzZI0U9KE/g5o+yLgGuDwMta+kmZL6pB0rqS1SvuDkk6RdFc5N6G0v0XSbeWaWyW9ofscJQt9TVn3jwH1tBZJUyXVJdXnz19pYuyIiIhVXgLbWBltDZxteyKwEDiotE8DPmZ7R+B44PsDHPcuYIKktYHzgENtt1P95uLYhn6P2d4B+EGZB+A+YHfbbwa+BHy1h/FPAm4u674cGN/TImxPs12zXXt0yZoDvIWIiIjoTUoRYmU0z/accjwLaJM0BtgFuET6v0ToWgMct+vCN5Q5HiifpwPHAd8tn3/eMPf7y/FYYLqkrQEDa/Qw/h5d/W1fLenxAa4vIiIiVkAC21gZLW44XgqMpvrtwkLbk1Zg3DcD/Slo7Zp/KS/9HTkVuN72+0od8A0rsI6IiIgYAilFiFWC7SeBeZIOAVBl+/5eL+kg4O3ADOB+qizwVuX0h4AblzHEWOChcjyllz438VIN7zuBDZa1rvZxY5fVJSIiIvopgW2sSo4AjpZ0N9AJHLCM/p/qet0X8EFgH9vzbT8HHElV1tABvAics4yxvgl8TdJsev9NxynAHpI6qUoS/tivu4qIiIhBIdvNXkPEiFWr1Vyv53VfERExckiaZbs2FGMnYxsRERERLSEPj8UqTdIXgEO6NV9i+yvNWE9EREQ0TwLbWKWVADZBbERERKQUISIiIiJaQwLbiIiIiGgJKUWIaKLOBZ20T28ftvk6JncM21wRERHDLRnbGDSSTpZ0fB/nD5S0bT/GOUbSh5d3nsHQfa2Svixpv3K8u6TO8o7c0X2McYOkIXmdSURERLxSAtsYTgcCywxsbZ9j+yfDsJ6+vGyttr9k+7/KxyOAr9meZPvZpqwuIiIiXiEbNMQKKa/bmgz8FfgTMAt4ApgKrAn8D9WWtZOAq8q5J4CDgH2697O9SNLJwNO2vy3p48AxwAvAvbY/UM5vCWwFbAx80/aPyno+A/wjsBZwue2TSvsVwGuBtYEzbE8r7U/bHlOODwb2B6b1sNYvlrZXUe1C9gRwK/Aj4Hjb+5cxvgfUbZ8n6YZyrtcdGGqbj3L94aUD+6FHRESswoZyg4bU2MZyk7Qj8AGqoHV14C6qwPbnDYHmacDRts+SdCVwle1Ly7mF3fsBZ3Wb5gTg9bYXS3pVQ/ubgLcC6wKzJV0NbAdsDbwFEHClpD1s3wQcZftvpXTgTkmX2V7Q033ZvrWHtXad+7Gk3brOSdprOX5uU6kCesaP1UAvj4iIiF6kFCFWxO5UWdFFtp8Erizt20maKamD6tf2E3u5vj/95gIXSPogVda2yy9sP2v7MeB6qmD27eVrNlWQPYEq0AX4uKS7gdupMrdb0yS2p9mu2a5tsk4C24iIiMGSwDaGwnnAR223A6dQ/fp/efu9Gzgb2IEq09r1W4buNTSmytJ21b5Osr2V7X8rWdX9gJ1tb08V+K7dwzi9rbMvL/Dyv0cDGqPDW9B2wtXLMW1ERER0l8A2VsRNwIGSRktaD3hPaV8PeETSGlSZ2C5PlXMsox8AklYDXmv7euBzwFhgTDl9gKS1JW0E7AXcCfwaOEpSV83sOEmvLtc9Xup3J1CVMHT5i6Q3lrne18dae/MHYFtJa5VSiX37cU1EREQMgdTYxnKzfZeki4C7qR4eu7Oc+iLwW2B++d4VIF4I/Kg8EHZwH/26jALOlzSWKht7pu2Fpd51LlUJwsbAqbYfBh6W9EbgttLnaeCDwK+AYyT9N3A/VTlClxOoHgqbD9R5KXDuvtbefgZ/knQxcA8wjyob3G/t48ZS//q7B3JJRERE9CJvRYhoolqt5nq915cmREREtJyhfCtCShEiIiIioiUksI2IiIiIlpDANiIiIiJaQgLbiIiIiGgJCWwjIiIioiUksI2IiIiIlpD32EY0UeeCTtqntw/bfB2TO4ZtroiIiOGWjG2MCJIelLTxYPVr6N8m6Z4VW11EREQMhgS2EREREdESUooQKyVJnwEW2z5T0unA9rb3kbQPcDTVNrifp9pq92rbnyvX/QDYCRgNXGr7pIZhPybpPcAawCG275O0ETADGAfcVsZDUhtwle3tyufjgTG2T5a0I3BuGfOahjWPAr4O7AWsBZxt+4d93efExUuopzwgIiJiUCRjGyurmcDu5bgGjJG0Rml7APgGsA8wCdhJ0oGl7xfKNn1vAvaU9KaGMR+zvQPwA+D40nYScLPticDlwPh+rO3fgY/Z3r5b+9HAE7Z3ogquPyLp9d0vljRVUl1Sff6ibGkdERExWBLYxspqFrCjpPWBxVTZ1BpVYLsQuMH2fNsvABcAe5Tr/lHSXcBsYCKwbcOYP28Yu60c7wGcD2D7auDxvhYl6VXAq2zfVJp+2nD67cCHJc0BfgtsBGzdfQzb02zXbNc2WUd9/hAiIiKi/xLYxkrJ9vPAPGAKcCtVBndvYCvgwZ6uKdnR44F9bb8JuBpYu6HL4vJ9Kcsuw3mBl//9WLu3jo1LoMrkTipfr7d9TV8XdHgL2k64uh9DR0RExLIksI2V2UyqQPWmcnwMVSb2Dqoyg41LXethwI3A+sAzwBOSNgXe2Y85bgIOB5D0TmCD0v4X4NWSNpK0FrA/gO2FwEJJu5V+RzSM9Wvg2FIygaRtJK27XHceERERA5aHx2JlNhP4AnCb7WckPQfMtP2IpBOA63np4bFfAEiaDdwH/Am4pR9znALMkNRJlRn+I1QZY0lfpgqiHypjdjkSOFeSaXh4DPgxVYnDXZIEzAcOJCIiIoaF7Dy8EtEstVrN9Xq92cuIiIgYNpJmlQe9B11KESIiIiKiJSSwjYiIiIiWkMA2IiIiIlpCAtuIiIiIaAkJbCMiIiKiJSSwjYiIiIiWkMA2IiIiIlpCNmiIaKLOBZ20T28ftvk6JncM21wRERHDLRnbGDKSNpX0M0m/lzRL0m2S3tdH/zZJhzd83kuSJf1TQ9uk0nb8MuaeImnzhs8/lrTtct7H55fjmimSvrc880VERMTyScY2hkTZUvYKYLrtw0vb64D39nFZG3A48LOGtnuAf6TarhbgMODufixhSrn2YQDb/9Rn7759HvjqClzfq4mLl1BPFjUiImJQJGMbQ2UfYIntc7oabP/B9lmSRkn6lqQ7Jc2V9M+ly9eB3SXNkfSp0vYHYO2S/RXwDuCXXWOWDO7tZZzLJW0g6WCgBlxQxhot6QZJNUnHSPpWw/X/l1mVdEXJLHdKmlravg6MLuNcUNo+KOmO0vZDSaNK+5GSHpB0B7DrkPxUIyIiolcJbGOoTATu6uXc0cATtncCdgI+Iun1wAnATNuTbJ/e0P9S4BBglzLm4oZzPwE+Z/tNQAdwku1LgTpwRBnr2Yb+lwGN5RCHAheW46Ns70gVFH9c0ka2TwCeLeMcIemN5ZpdbU8ClgJHSNoMOIUqoN0N6LXsQdJUSXVJ9fmL3Fu3iIiIGKCUIsSwkHQ2VcC3hCoL+6aSWQUYC2xdzvXkYuAiYAIwgyrARdJY4FW2byz9pgOX9LUO2/NLze9bgd+VMW8ppz/eUAP82rKmBd2G2BfYEbizSiAzGvgr8PfADbbnl7VdBGzTyxqmAdMA1tps60S2ERERgySBbQyVTuCgrg+2j5O0MVUm9Y/Ax2z/uvECSXv1NJDtRyU9D7wN+AQlsF0BF1LV7d4HXG7bZe79gJ1tL5J0A7B2D9eKqm74/3Vb+4EruKaIiIhYQSlFiKFyHVVt7LENbeuU778GjpW0BoCkbSStCzwFrNfLeF+iKjlY2tVg+wngcUm7l6YPAV3Z277Guhw4gOpBtK4yhLHA4yWonQC8taH/811rBX4DHCzp1WXtG5aH4n4L7Clpo9L3kF7mjoiIiCGSjG0MiZIFPRA4XdJngfnAM8DnqMoF2oC7ygNh84EDgbnAUkl3A+cBsxvGu7WXqSYD50haB/g9cGRpP6+0Pwvs3G1tj0v6b2Bb23eU5l8Bx5T2+4HbGy6ZBsyVdFepsz0RuEbSasDzwHG2b5d0MnAbsBCY05+fU/u4sf3pFhEREf0gOyV+Ec1Sq9Vcr9ebvYyIiIhhI2mW7dpQjJ1ShIiIiIhoCQlsIyIiIqIlJLCNiIiIiJaQwDYiIiIiWkIC24iIiIhoCQlsIyIiIqIl5D22EU3UuaCT9untwzJXx+SOYZknIiKiWZKxjVWKpAfL1rwRERERL5PANiIiIiJaQkoRoqkktVFtZzsL2AHoBD5MtQ3ut6n+jN4JHGt7ccN1o4GfAz+3/SNJHwQ+DqwJ/Bb4F9tLJT0N/AB4F/AI8Hngm8B44JO2r5S0dulTA14APm37eklTgPcC6wBbApfb/myZ/2iq7YEXAncDi21/tNzPucDGVFsFH2n7j73d/8TFS6inRCAiImJQJGMbK4M3AN+3/UbgSeDTwHnAobbbqYLbYxv6jwH+A5hRgto3AocCu9qeBCwFjih91wWusz0ReAo4DXgb8D7gy6XPcYDLXIcB00uwCzCpjN0OHCrptZI2B74IvBXYFZjQsLazgOm23wRcAJzZ/WYlTZVUl1SfvyhbWkdERAyWBLaxMviT7VvK8fnAvsA82w+UtunAHg39fwH8u+2flM/7AjsCd0qaUz5vUc4tocoIA3QAN9p+vhy3lfbdyrzYvg/4A7BNOfcb20/Yfg64F3gd8JYyzt/KWJc0rG1n4Gfl+Kdl7JexPc12zXbt0dFbLvOHExEREf2TUoRYGXRPWy4ENuqj/y3AOyT9zLYBUWVJ/18PfZ8vfQBeBBYD2H5RUn/+/C9uOF5K/s5ERESstJKxjZXBeEk7l+PDgTrQJmmr0vYh4MaG/l8CHgfOLp9/Axws6dUAkjaU9LoBzD+TUrogaRuq+tv7++h/J7CnpA1KcHxQw7lbgQ+U4yPK2BERETEMEtjGyuB+4DhJ/w1sAJwOHAlcIqmDKtN6TrdrPgGMlvRN2/cCJwLXSJoLXAtsNoD5vw+sVua6CJjS+KBad7YfAr4K3EGVPX4QeKKc/hhwZFnHh8o6e9U+buwAlhkRERF90Uu/pY0YfuUtAlfZ3q7JSxkQSWNsP10ytpcD59q+fKDj1Go11+v1wV9gRETESkrSLNu1oRg7GduI5XNyeVDtHmAecEWT1xMRETHi5UGYaCrbDwKrVLYWwPbxzV5DREREvFwythERERHREhLYRkRERERLSGAbERERES0hgW1EREREtIQ8PBbRRJ0LOmmf3j7k83RM7hjyOSIiIpotGduIiIiIaAkJbCMiIiKiJaQUIUYcSesCFwOvAUYBpwLfKG3vBJ4FDrf9P5LeQ7Vd75rAAuAI23+RNAY4C6gBBk6xfZmktwOnAGsB/wscafvp3tYycfES6ikTiIiIGBTJ2MZI9A7gYdvbl618f1Xan7DdDnwP+G5puxl4q+03AxcCny3tX+zqb/tNwHWSNqYKgvezvQNQBz7dfXJJUyXVJdXnL8qW1hEREYMlGdsYiTqAf5X0DeAq2zMlAcwo52cAp5fj1wAXSdqMKms7r7TvB3yga0Dbj0vaH9gWuKWMtyZwW/fJbU8DpgHUNh+VyDYiImKQJLCNEcf2A5J2AN4FnCbpN12nGruV72cB37F9paS9gJP7GFrAtbYP6+9aOrxFv9cdERERfUspQow4kjYHFtk+H/gWsEM5dWjD965M61jgoXI8uWGYa4HjGsbcALgd2FXSVqVtXUnbDMlNRERExCsksI2RqB24Q9Ic4CTgtNK+gaS5wCeAT5W2k4FLJM0CHmsY47TS/x5JdwN7254PTAFmlHFuAyb0uZBxYwfnjiIiIgLZKfGLkPQgULP92LL6DqZareZ6vT6cU0ZERDSVpFm2a0MxdjK2EREREdES8vBYBGC7rdlriIiIiBWTjG1EREREtIQEthERERHREhLYRkRERERLSGAbERERES0hgW1EREREtIS8FSGiiToXdNI+vX3I5+mY3DHkc0RERDRbMrYRg0TSBElzJM2WtKWkp5u9poiIiJEkGduIwXMgcKnt0wAkLfOCiYuXUE82NSIiYlAksI0YIEltwC+Bm4FdgIeAM4BPAksl7Wt776YtMCIiYoRKKULE8tkaONv2RGAhsAFwDnD6soJaSVMl1SXV5y/yMCw1IiJiZEjGNmL5zLM9pxzPAtr6e6HtacA0gLU22zqRbURExCBJxjZi+SxuOF5K/pEYERHRdAlsIyIiIqIlJLCNaKL2cWObvYSIiIiWkV+fRgyQ7QeB7Ro+f7uXfmOGa00RERGRjG1EREREtIgEthERERHREhLYRkRERERLSGAbERERES0hgW1EREREtIQEthERERHREvK6r4gm6lzQSfv09iGfp2Nyx5DPERER0WzJ2I4gkpZKmiPpbkl3SdqltLdJumc5x7xBUq2H9gcldUiaK+kaSX+3ouvvNv7Jko7v4/wXyr3OabjvOZI+3o+x3yfpM+X4/ZImNJw7arDvJSIiIgZHMrYjy7O2JwFI+gfga8CeQzjf3rYfk/RV4PPAMoPKwWL7K8BXACQ93XXf/bz28oaP7wdeBO4rn48C7gIe7e94kla3/UJ/+0dERMTySWA7cq0PPN69UVIb8FNg3dL0Udu3lnOfAz5IFej90vYJDdetBpwL/Nn2id2GvYkS1Ep6O3AKsBbwv8CRtp+WtC/wbao/k3cCx9peLOlB4GLgncCzwOG2/6fbmrcEzgY2ARYBH7F9Hz2QtDrwgO0tJG0M/BXYzfatkm4FjgD2pdpZ7DLgXcCukk4GZgCTgIskPQu8Bdi+rHtMGWuK7b9Iurncx+7A+cB3e1rPxMVLqKdMICIiYlAksB1ZRkuaA6wNbAbs00OfvwJvs/2cpK2pgrmapHcCBwB/b3uRpA0brlkduAC4p2RKu9sf6CiB5InAfrafKYHypyV9EzgP2Nf2A5J+AhzLS8HgE7bbJX24tO3fbfxpwDG2fyfp74Hv93Jv2H5B0u8lvQF4IzAL2F3SbGBT2/MkdfWdKek/gUttXwEg6T1Uwf4cSWsBZwDvLZnpI4BTgallulG2eyrTmNrVZ/xY9bTMiIiIWA4JbEeWxlKEnYGfSNquW581gO9JmgQsBbYp7fsB/257EYDtvzVc80Pg4h6C2uslLQXmUgW0uwHbAreU4HFN4DbgDcA82w+U66YDx/FSYDuj4fvpjRNIGgPsAlzSFZBSZYP7MhPYgyqw/RpVecFvy9dAvBGYCPxXmXsU8OeG8xf1dJHtaVTBOGtttrUHOGdERET0IoHtCGX7tpJB8DpoYwAAIABJREFU3aTbqU8Bf6H6FftqwHP9GO5WYG9J/2q7sf/eth/r+qAq+rvW9mGNF0vaflnL7eWYssaFA6mhpSqNOBJoA04APksV6M4cwBgAAuba3r2X888McLyIiIhYAXkrwghVnvQfBSzodmos8IjtF4EPlT4A1wJHSlqnXN9YivBvwH8CF5ca1t7cTlWvulUZY11J2wD3A21d7WXeGxuuO7Th+22NA9p+Epgn6ZAypvoRKP+W6qG5JbaXAB3AR6gC3u6eAtbr5fO9wDhJbylzrylp4jLmjoiIiCGSwHZkGd312iuqX5NPtr20W5/vA5Ml3Q1MoGQdbf8KuBKol+tf9qot298BZgM/LQ+SvYLt+cAUYIakuVRB6oSS5T2Sqpygg+rhtHMaLt2g9P8EVUa5uyOAo8uaO6lqgXtVyikepso0Q5WpXYcqUO1uBvD58nNrA/4d+HH5GRg4GPhOWd9s4O/7mru79nFjB9I9IiIi+iA7JX6x8ipvRag1ljS0klqt5nq93uxlREREDBtJs3p6uHowJGMbERERES0hD4/FSs12W7PXEBEREauGZGwjIiIioiUksI2IiIiIlpDANiIiIiJaQgLbiIiIiGgJeXgsook6F3TSPr19SOfomNwxpONHRESsLJKxjaaQ1CbpniEYd5KkdzV8PlnS8X1d0+36T3btrhYRERGrlgS20TLKdr6TgHctq28fPkm1C1lERESsYlKKEM00StKPgF2Ah6i2wt0cOBvYBFgEfMT2fZLeA5wIrAksAI6w/RdJJwNbAlsAfwR2pdo6eDfga2WebSXdAIwHvmv7TEnrAhcDrwFGAacCm5b5r5f0mO29JR0GfB4QcLXtzwFIeho4A9gfeBY4oKxnE6rtgMeXuT9p+5befgATN5pIfXJ2HouIiBgMydhGM20NnG17IrAQOAiYBnzM9o7A8cD3S9+bgbfafjNwIfDZhnG2BfazfRjwJeAi25NsX1TOTwD+AXgLcJKkNYB3AA/b3t72dsCvbJ8JPAzsXYLazYFvAPtQZYJ3knRgGXNd4Hbb2wM3AR8p7WcAp9veqdzPj7vftKSpkuqS6vPnz1/en11ERER0k4xtNNM823PK8SygjSp7e4mkrj5rle+vAS6StBlV1nZewzhX2n62j3mutr0YWCzpr1SZ2Q7gXyV9A7jK9swertsJuMH2fABJFwB7AFcAS4CrGtb+tnK8H1WGuGuM9SWNsf10V4PtaVQBPLVazX2sOyIiIgYggW000+KG46VUAedC25N66HsW8B3bV0raCzi54dwzA5xnddsPSNqBqh73NEm/sf3lAaz9edtdQelSXvq7tBpVZvm5/gzS8dATA5gyIiIi+pJShFiZPAnMk3QIgCrbl3NjqepwASb3McZTwHrLmqiUGSyyfT7wLWCHHq6/A9hT0saSRgGHATcuY+hrgI81zNNTkB4RERFDIIFtrGyOAI6WdDfQSfVAGVQZ2kskzQIe6+P666lKAeZIOrSPfu3AHZLmACcBp5X2acCvJF1v+xHghDLm3cAs279Yxvo/DtQkzZV0L3BMX53bx41dxnARERHRX3rpt6kRMdxqtZrr9bwVISIiRg5Js2zXhmLsZGwjIiIioiUksI2IiIiIlpDANiIiIiJaQgLbiIiIiGgJCWwjIiIioiUksI2IiIiIlpDANiIiIiJaQrbUjVgOkm4Ajre9Qi+h7VzQSfv09sFZVC86JncM6fgREREri2RsIyIiIqIlJGMb0QdJbcAvgZuBXYCHeGmb3w9J+jHV36OjbN8h6S3AGcDawLPAkbbv7238iRtNpD45O49FREQMhmRsI5Zta+Bs2xOBhcBBpX0d25OAfwHOLW33AbvbfjPwJeCrw73YiIiIkSoZ24hlm2d7TjmeBbSV4xkAtm+StL6kVwHrAdMlbQ0YWKP7YJKmAlMBxo8fP8RLj4iIGDmSsY1YtsUNx0t56R+E7tbPwKnA9ba3A95DVZLw8k72NNs127VHl6w5FOuNiIgYkRLYRiy/QwEk7QY8YfsJYCxVHS7AlCatKyIiYkRKYBux/J6TNBs4Bzi6tH0T+FppT6lPRETEMJLd/bepETFcarWa6/W8FSEiIkYOSbNs14Zi7GRsIyIiIqIlJLCNiIiIiJaQwDYiIiIiWkIC24iIiIhoCQlsIyIiIqIlJLCNiIiIiJaQwDYiIiIiWkJeIB/RRJ0LOmmf3j6kc3RM7hjS8SMiIlYWydhGDJCkAyVZ0oRezr9K0r8M97oiIiJGugS2EQN3GHBz+f4yklYHXgUksI2IiBhm2VI3YgAkjQHuB/YG/sP2GyTtBZwKPA5MAO4CDij9rrX9md7Gq20+yvWHlw75uiMiIlYWQ7mlbmpsIwbmAOBXth+QtEDSjqV9B2A72/MktZXjST0NIGkqMBVg/FgNw5IjIiJGhpQiRAzMYcCF5fhCXipHuMP2vP4MYHua7Zrt2qOjtxyKNUZERIxIydhG9JOkDYF9gHZJBkYBBq4Gnmnm2iIiIiIZ24iBOBj4qe3X2W6z/VpgHrB7t35PAesN++oiIiJGuAS2Ef13GHB5t7bL6PZ2BNsLgFsk3SPpW30N2D5u7OCuMCIiYgRLKUJEP9neu4e2M4Eze2g/fFgWFREREf8nGduIiIiIaAkJbCMiIiKiJSSwjYiIiIiWkMA2IiIiIlpCAtuIiIiIaAkJbCMiIiKiJeR1XxFN1Lmgk/bp7UM2fsfkjiEbOyIiYmWTjG20FEkHSrKkCQO8bi9JVw3wmpqkV7zDtpx7UNLGAxkvIiIiVkwC22g1hwE30203sOUlqdffatiu2/74YMwTERERKy6lCNEyJI0BdgP2Bv4DOEnSXsDJwGPAdsAs4IO2LekdwHeBRVTBcNc4JwNbAlsAf5R0JPADoAa8AHza9vVl7ONt7y9pI2AGMA64DVB/1jxx8RLqKReIiIgYFMnYRis5APiV7QeABZJ2LO1vBj4JbEsVrO4qaW3gR8B7gB2Bv+s21rbAfrYPA44DbLudKhM8vVzf6CTgZtsTgcuB8b0tUtJUSXVJ9fmLvAK3GxEREY0S2EYrOQy4sBxfyEvlCHfY/rPtF4E5QBswAZhn+3e2DZzfbawrbT9bjnfrOm/7PuAPwDbd+u/R0Odq4PHeFml7mu2a7dom6/QrsRsRERH9kFKEaAmSNgT2AdolGRgFGLgaWNzQdSn9+3P/zKAvsgcd3mI4pomIiBgRkrGNVnEw8FPbr7PdZvu1wDxg91763we0SdqyfO7rYbOZwBEAkrahKjO4v1ufm4DDS593Ahss111ERETEcktgG63iMKra1kaX0UvAavs5YCpwtaS7gL/2Mfb3gdUkdQAXAVNsL+7W5xRgD0mdwPuBP/Zn0e3jxvanW0RERPSDqvLCiGiGWq3mer3e7GVEREQMG0mzbNeGYuxkbCMiIiKiJSSwjYiIiIiWkMA2IiIiIlpCAtuIiIiIaAkJbCMiIiKiJSSwjYiIiIiWkJ3HIpqoc0En7dPbh2z8jskdQzZ2RETEyiYZ22hpkjaV9DNJv5c0S9Jtkt7X7HVFRETE4EtgGy1LkoArgJtsb2F7R+ADwGuau7KIiIgYCtl5LFqWpH2BL9nes4dzbcBPgXVL00dt3yppL6rtcRcC7cDFQAfwCWA0cKDt/5W0CXAOML5c/0nbt0jaEzijtBnYw/ZTva2xtvko1x9eukL3GRERsSoZyp3HUmMbrWwicFcv5/4KvM32c5K2BmYAXX/JtgfeCPwN+D3wY9tvkfQJ4GPAJ6mC19Nt3yxpPPDrcs3xwHElyB0DPDdE9xYRERHdJLCNEUPS2cBuwBJgP+B7kiYBS4FtGrreafuRcs3/AteU9g5g73K8H7BtVe0AwPolkL0F+I6kC4Cf2/5zD+uYCkwFGD9W3U9HRETEckqNbbSyTmCHrg+2jwP2BTYBPgX8hSo7WwPWbLhuccPxiw2fX+SlfwyuBrzV9qTyNc7207a/DvwTVdnCLZImdF+U7Wm2a7Zrj47ekrYTrh6Me42IiBjxEthGK7sOWFvSsQ1t65TvY4FHbL8IfAgYNcCxr6EqSwCgZH6RtKXtDtvfAO4EXhHYRkRExNBIYBsty9WTkQcCe0qaJ+kOYDrwOeD7wGRJd1MFn88McPiPAzVJcyXdCxxT2j8p6R5Jc4HngV8Oxr1ERETEsuWtCBFNVKvVXK/Xm72MiIiIYTOUb0VIxjYiIiIiWkIC24iIiIhoCQlsIyIiIqIlJLCNiIiIiJaQwDYiIiIiWkIC24iIiIhoCQlsIyIiIqIlrL7sLhExVDoXdNI+vX3Ixu+Y3DFkY0dERKxskrGNVYYkSzq/4fPqkuZLuqp8fq+kE5q4vhllJ7JPSZoiafNmrSUiImIkSsY2ViXPANtJGm37WeBtwENdJ21fCVw5VJNLWt32C72c+ztgJ9tblc83APcADw/VeiIiIuLlEtjGquY/gXcDlwKHATOA3QEkTQFqtj8q6TzgSaAG/B3wWduXln6fAf4RWAu43PZJpf3DwPGAgbm2P1TGeQ54M3CLpAuBM4C1gWeBI23fD1wDjJM0B7iszHuBpGeBnUsg/goTFy+hnnKBiIiIQZHANlY1FwJfKuUHbwLOpQS2PdgM2A2YQJXJvVTS24GtgbcAAq6UtAewADgR2MX2Y5I2bBjnNaV9qaT1gd1tvyBpP+CrwEHAe4GrbE8CkLQvcLztevdFSZoKTAUYP1Yr8KOIiIiIRglsY5Vie66kNqps7X8uo/sVtl8E7pW0aWl7e/maXT6PoQp0twcusf1YmedvDeNcYntpOR4LTJe0NVVmd43luIdpwDSAtTbb2gO9PiIiInqWh8diVXQl8G2qMoS+LG44VsP3r9meVL62sv1vyxjnmYbjU4HrbW8HvIeqJCEiIiJWAglsY1V0LnCK7eUpTv01cJSkMQCSxkl6NXAdcIikjUr7hr1cP5aXHlib0sc8TwHrLcf6IiIiYjklsI1Vju0/2z5zOa+9BvgZcJukDqqH0Naz3Ql8BbhR0t3Ad3oZ4pvA1yTNpu9SnvOAcyTNkTS6t07t48Yux11ERERET2SnxC+iWWq1muv1VzxfFhER0bIkzbJdG4qxk7GNiIiIiJaQwDYiIiIiWkIC24iIiIhoCQlsIyIiIqIlJLCNiIiIiJaQwDYiIiIiWkK21I1oos4FnbRPbx+y8TsmL88eFhEREaumZGwjIiIioiUksI0YQpLyW5GIiIhhkv/pRsuTtC5wMfAaYBRwKvAY8G2qvwN3AsfaXixpJ+AMYF1gMbAvsAj4BvAO4EXgR7bPkrQj1da7Y8p4U2w/IukGYA6wGzAD+Nfe1jZxo4nUJ2fnsYiIiMGQwDZGgncAD9t+N4CkscA9wL62H5D0E+BYSd8HLgIOtX2npPWBZ4GpQBswyfYLkjaUtAZwFnCA7fmSDgW+AhxV5lyzt+0CJU0tYzJ+/PghuuWIiIiRJ6UIMRJ0AG+T9A1Ju1MFqfNsP1DOTwf2AN4APGL7TgDbT9p+AdgP+GE5xvbfSt/tgGslzQFOpMoId7mot8XYnma7Zru2ySabDOZ9RkREjGjJ2EbLK1nZHYB3AacB1w3CsAI6be/cy/ln+jNIx0NPDMJSIiIiApKxjRFA0ubAItvnA98CdgbaJG1VunwIuBG4H9is1Nkiab3y8Ne1wD93PQgmacPSdxNJO5e2NSRNHM77ioiIiJdLxjZGgnbgW5JeBJ4HjgXGApeUYPVO4BzbS0qt7FmSRlPV1+4H/BjYBpgr6Xmqh8e+J+lg4MxSs7s68F2gc0ALGzd2cO4wIiIikO1mryFixKrVaq7X81aEiIgYOSTN6u0B6xWVUoSIiIiIaAkJbCMiIiKiJSSwjYiIiIiWkMA2IiIiIlpCAtuIiIiIaAkJbCMiIiKiJeQ9thFN1Lmgk/bp7UM2fsfkjiEbOyIiYmWTjG1EREREtIQEthERERHRElKKENFA0meAxbbPlHQ6sL3tfSTtAxwNXAV8HhBwte3PSToE2Nn2pyV9AviE7S0kbQH81Pauvc03cfES6ikXiIiIGBTJ2Ea83Exg93JcA8ZIWqO0PQB8A9gHmATsJOnAbtfsDiyQNK4c39R9AklTJdUl1ecvypbWERERgyWBbcTLzQJ2lLQ+sBi4jSrA3R1YCNxge77tF4ALgD1sP0oVAK8HvBb4GbBHuWZm9wlsT7Nds13bZB0Ny01FRESMBAlsIxrYfh6YB0wBbqUKTPcGtgIe7OPSW4Ejgft5KYO7M3BLX/N1eIsVXXJEREQUCWwjXmkmcDxVGcFM4BhgNnAHsKekjSWNAg4DbuzhmtlUwfBi208M89ojIiJGrAS2Ea80E9gMuM32X4DngJm2HwFO+P/s3XmYXVWZ/v3vzZwQCIrRlzmMIklBICcgo6A40CCDYAMChqGJqOCAtNLK6IhKOwGCETFpGZoGQQZlEkEwTKlAQlEC/qRxYjIESQMJSUju94+9So5lTUlOpZJT9+e66so+e6/1rLWPxeVTz1n7LOAOYAYwzfZ1dX02Au6yvRD4M/CbZT7ziIiIQUx2Hl6JGCi1Ws2tra0DPY2IiIhlRtI027X+iJ2KbUREREQ0hSS2EREREdEUkthGRERERFNIYhsRERERTSGJbUREREQ0hSS2EREREdEUkthGRERERFNYZaAnEDGYtc9qp2VyS7/Fbxvf1m+xIyIiljep2MagIWmkpEeWMsaeknbpQ7sRku6X9JCk3ZdmzIiIiOibVGwjFs+ewMvAPb20exfQZvvfemo0at58WlNVjYiIaIhUbGOwWUXSZZIelXS1pKGSxkr6taRpkm6RtB6ApE9I+q2khyX9t6SRwAnApyVNl7R7qQL/qrS5XdLGksYA3wAOKO2GDNztRkREDB6yPdBziFgmSmL6JLCb7SmSLgEeBQ4CDrA9U9KhwHttHyvpaWBT2/MkrWP7RUlnAS/bPrfEvAG42vZkSccC+9s+UNLRQM32iV3MYwIwAWDj4Rr7xxcX9fetR0RELDckTbNd64/YqdjGYPNn21PK8aXAe4HRwG2SpgOnARuW6w8Dl0k6Enitm3g7A5eX458Au/U2AdsTbdds154dsjkjT/35Et5KRERE1Msa2xhsOn9E8RLQbnvnLtruC+wBvB/4gqT++/qCiIiIWGqp2MZgs7GkjiT2Q8B9wIiOc5JWlTRK0krARrbvAD4HDAeGUSXCa9XFuwc4rBwfAdy9DO4hIiIiupDENgabx4GPS3oUeANwHnAI8HVJM4DpwC7AysClktqAh4Dv2X4RuAE4qOPhMeAk4BhJDwNHAZ9cnMm0bDCcP5yzb4NuLSIiYnDLw2MRA6hWq7m1tXWgpxEREbHM5OGxiIiIiIheJLGNiIiIiKaQxDYiIiIimkIS24iIiIhoCklsIyIiIqIpJLGNiIiIiKaQncciBlD7rHZaJvffhmZt49v6LXZERMTyJhXbGFQkLSybK7RLmiHpM2WXsZ76jJH0L12c/5mk+zqdO1nSbyU9LOl2SZs0+h4iIiKia0lsY7CZa3uM7VHAu4F9gDN76TMG+IfEVtI6wFhguKTN6i49BNRsbwtcDXyjYTOPiIiIHmXnsRhUJL1se1jd682AqcCbgNWBC4Ea8BpwMjAF+D0wBHgK+JrtKyUdW9o9Byyw/dUuxtoeON/2rt3NJzuPRUTEYNOfO49ljW0Marb/V9LKwJuBI6tTbpG0NXArsBVwBlUV9sS6rocDX6RKbH8K/FNiCxwH3NT5pKQJwASAjTfeuIF3ExERMbhlKULE63YDLgWw/RjwR6rE9h9IeguwJfAb278DFkga3anNkVQV3W927m97ou2a7dqz81dr/F1EREQMUklsY1ArSxEWAn9djG7/CrwBeFLSH4CRVBXcjph7A18A9rc9r2GTjYiIiB4lsY1BS9II4CKqdbAG7gaOKNe2AjYGHgdeAtaq63o48D7bI22PpHqI7LDSb3vgB1RJ7eIkyxEREbGUssY2BpshkqYDq1I9IPYT4Fvl2veBCyW1lWtH254n6Q7g1NLvCmAT4O9f82X7SUmzJe0EfAUYBlwlCeBPtvfvbjItGwxv+A1GREQMVvlWhIgBlG9FiIiIwaY/vxUhSxEiIiIioikksY2IiIiIppDENiIiIiKaQhLbiIiIiGgKSWwjIiIioikksY2IiIiIppDvsY0YQO2z2mmZ3NJv8dvGt/Vb7IiIiOVNKraxQpJ0p6Ql/g48SetLurqRc4qIiIiBlYptDEq2nwYOGeh5REREROMksY3liqSfARsBawDfBX5UfmqAgUtsf7uu/UrAJcBfgDO7aitpC+AiYASwEPhg+fdG26MlrQycA+wJrA5cYPsHkvYEzgKeB0YD04AjbVvSuDK/NYF5wLuAOV3F6el+R82bT2uWC0RERDREEttY3hxr+wVJQ4CpVMnkBrZHA0hap67tKsBlwCO2vyJpbDdtLwPOsX2tpDWoluC8uS7OccBs2+MkrQ5MkXRrubY9MAp4GpgC7CrpAeBK4FDbUyWtDcztLo7tJ+tvUNIEYALAxsO1tO9XREREFFljG8ubT0iaAdxHVbldDdhM0nmS3gf8X13bH1CS2vL6fzu3lbQWVbJ7LYDtV23P6TTme4APS5oO3A+sC2xZrj1g+y+2FwHTgZHAW4FnbE8tMf/P9mu9xPk72xNt12zXRgxNYhsREdEoSWxjuVE++t8b2Nn2dsBDVB/pbwfcCZwAXFzX5R5gr1KFxfbfemjb49DASbbHlJ9NbXdUbOfVtVtIz59y9BSnS23erI9TjIiIiN4ksY3lyXDgb7bnSNoaeDvwJmAl2z8FTgN2qGv/I+AXwP9IWkXSP7W1/RLwF0kHAkhaXdLQTuPeAnxU0qqlzVaS1uxhno8D65V1tkhaS9IqSxAnIiIiGihrbGN5cjNwgqRHqZLH+4ANgDvLQ2IA/1Hfwfa3JA0HfkL14NaPu2h7FPADSV8EFlA9PLaoLszFVEsMHpQkYCZwYHeTtD1f0qHAeWUt8FyqSvNixQFo2WB4T5cjIiJiMcj2QM8hYtCq1WpubW0d6GlEREQsM5Km2V7i76LvSZYiRERERERTSGIbEREREU0hiW1ERERENIUkthERERHRFJLYRkRERERTSGIbEREREU0hiW1ERERENIVs0BAxgNpntdMyuaXf4reNb+u32BEREcubVGxjiUhaKGm6pHZJMyR9pm7Hr+WapDGS/mUJ+q0v6er+mFNEREQsvVRsY0nNtT0GQNKbgcuBtYEzB3RWfTMGqAG/6GsHSavYfho4pJETGTVvPq2pqkZERDTEClFhi+Wb7b8CE4ATVVlD0o8ltUl6SNJeAJJWlnSupEckPSzppHL+D5LeVI5rku4sx2dJmizpbkl/lPQBSd8ocW+WtGppN1bSryVNk3SLpPXK+TslfV3SA5J+J2l3SasBXwQOLRXnQyXtKOneMtd7JL219D9a0vWSfgXcLmmkpEfq7uWbkqaWe/lIOb+epLtK7Eck7b7s/peIiIgY3FKxjYaw/b+SVgbeDBxZnXKLpK2BWyVtBRwDjATG2H5N0hv7EHpzYC9gG+Be4GDbn5V0LbCvpJ8D5wEH2J4p6VDgK8Cxpf8qtncsSw/OtL23pDOAmu0TASStDexe5rQ38FXg4NJ/B2Bb2y9IGlk3r+OA2bbHSVodmCLpVuADwC22v1Lej6Gdb0jSBKo/BNh4uPrwFkRERERfJLGN/rAbVbKJ7cck/RHYCtgbuMj2a+XaC32IdZPtBZLagJWBm8v5Nqok+a3AaOA2SZQ2z9T1v6b8O62078pwYLKkLQEDq9Zdu62beb4H2FZSx9KE4cCWwFTgklJN/pnt6Z072p4ITARYfb0t3c2cIiIiYjElsY2GkLQZsBD46xJ0f43Xl8Ws0enaPADbiyQtsN2RCC6i+v0V0G57525izyv/LqT73/cvAXfYPqhUZe+su/ZKN30EnGT7ln+6IO0B7AtMkvQt2//VTYyIiIhooKyxjaUmaQRwEXB+STzvBo4o17YCNgYeB24DPiJplXKtYynCH4Cx5fhgFs/jwAhJO5eYq0oa1Uufl4C16l4PB54qx0f3cdxbgI/WrfPdStKakjYBnrP9Q+BiqqUMERERsQwksY0lNaTj676AXwK3AmeXa98HVirLB64EjrY9jyrR+xPwsKQZwIdK+7OB70pqpaqs9pnt+VTfVPD1EnM6sEsv3e4Atul4eAz4BvA1SQ/R908xLgZ+CzxYHij7Qem7JzCjxDoU+G5PQVo2GN7H4SIiIqI3ev2T3YhY1mq1mltbWwd6GhEREcuMpGm2a/0ROxXbiIiIiGgKSWwjIiIioikksY2IiIiIppDENiIiIiKaQhLbiIiIiGgKSWwjIiIioilk57GIAdQ+q52WyS39ErttfFu/xI2IiFhepWIbKzRJC8tGC49IukHSOg2O/ylJQ+te/0HS3Z3aTC+bNERERMQASmIbK7q5tsfYHg28AHy8wfE/BQztdG4tSRsBSHpbg8eLiIiIJZSlCNFM7gW2BZAkqq1y9wEMfNn2lZKGAdcBbwBWBU6zfZ2kNYH/ATYEVga+BLwFWB+4Q9Lztvcq4/wP1Xa55wKHA1cAR5VxVwbOodpad3XgAts/6G7Co+bNpzVLBiIiIhoiFdtoCiWhfBdwfTn1AWAMsB2wN/BNSesBrwIH2d4B2Av4z5IEvw942vZ2pfp7s+3vAU8De9UltQA/LfEB3g/cUHftOGC27XHAOOB4SZt2musESa2SWmfOyZbWERERjZLENlZ0QyRNB56lqrDeVs7vBlxhe6Ht54BfUyWaAr4q6WHgl8AGpV8b8G5JX5e0u+3ZPYw5C/ibpMOAR4E5ddfeA3y4zOl+YF1gy/rOtifartmuPTtk86W6+YiIiHhdEttY0c21PQbYhCpp7W2N7RHACGBs6fccsIbt3wE7UCVFEt3FAAAgAElEQVS4X5Z0Ri9xrgQuoFqGUE/ASWXd7xjbm9q+dfFuKSIiIpZEEttoCrbnAJ8APiNpFeBu4FBJK0saAewBPAAMB/5qe4GkvagSYiStD8yxfSnwTaokF+AlYK0uhryWag3vLZ3O3wJ8VNKqJe5WZf1uRERE9LM8PBZNw/ZDZYnB4cClwM7ADKqHxz5r+1lJlwE3SGoDWoHHSvcWqnW4i4AFwEfL+YnAzZKerl9na/sl4OsA1RLdv7sYGAk8WNbuzgQO7G7OLRsMX6p7joiIiNfJzsMrEQOlVqu5tbV1oKcRERGxzEiaZrvWH7GzFCEiIiIimkIS24iIiIhoCklsIyIiIqIpJLGNiIiIiKaQxDYiIiIimkIS24iIiIhoCvke24gB1D6rnZbJLQ2P2za+reExIyIilnep2EZTkTRS0ofqXtckfa8fxvmipL3L8e6S2iVNlzSk0WNFRERE36RiG8uFskuXbC9aylAjgQ8BlwPYbqXaYayhbJ9R9/II4GtlO96IiIgYINl5LAaMpJHALcD9wFjgG8AJwOrAE8Axtl+WdAbwfmAIcA/wEduWtAVwETACWAh8ELgMeBvwJDAZeAg4xfZ+kt4IXAJsBswBJth+WNJZwMbl/MbAd2x/r8zxdOBIqq1x/wxMs32upEnAjcA6Zd6zy9xOAa4E1qb6w/Gjtu/u7j2orb+yW59euORvYkRExAomO49FM9sS+D7wDuA4YG/bO1BVWU8ubc63Pc72aKrkdr9y/jLgAtvbAbsAzwCnAnfbHmP7253GOht4yPa2wOeB/6q7tjXwXmBH4ExJq0oaBxwMbAfsA/zTf4S2LwauB/7d9hFU1eJbbI8p/aZ37iNpgqRWSa0z5+QPy4iIiEbJUoQYaH+0fZ+k/YBtgCnVqgRWA+4tbfaS9FlgKPBGoF3SncAGtq8FsP0qQOnbnd2oElVs/0rSupLWLtd+bnseME/SX4G3ALsC15XYr0q6oQ/3MxW4RNKqwM9s/1Nia3siMBGqim0fYkZEREQfpGIbA+2V8q+A20qldYztbWwfJ2kNqoruIbZbgB8Ca/TDPObVHS9kCf/os30XsAfwFDBJ0od7at/mzRh56s+XZKiIiIjoJIltLC/uA3Yt62aRtKakrXg9iX1e0jDgEADbLwF/kXRgab+6pKHAS8Ba3YxxN9WDXkjaE3je9v/1MKcpwPslrVHG3q+HtpS4mwDP2f4hcDGwQ299IiIiojGyFCGWC7ZnSjoauELS6uX0abZ/J+mHwCPAs1Qf9Xc4CviBpC8CC6geHnsYWChpBjCJ6uGxDmdRLRN4mOrhsfG9zGmqpOtLzOeANqqHxHqyJ/DvkhYALwM9VmxbNhhO6zn79hIyIiIi+iLfihDRA0nDyjczDAXuovomhQcbFb9Wq7m1teHfRhYREbHc6s9vRUjFNqJnEyVtQ7UkYnIjk9qIiIhorCS2ET2w/aHeW0VERMTyIA+PRURERERTSGIbEREREU0hiW1ERERENIUkthERERHRFJLYRkRERERTyLciRFMpO4qdYrvXXcKWB+2z2mmZ3NLwuG3j2xoeMyIiYnmXim1ERERENIVUbGOFJWkc8CNgR2Bl4AHgQmBtST8HtgDuAD5me5Gkw4HPAwJ+bvtzkjYBfgnsDLwA/Br4ku1bJZ0MHFuGu9j2dySNBG4CfgPsAjwFHGB7rqTNgQuAEVRb9h5v+7Ge7mHUuqNoHZ+dxyIiIhohFdtYYdmeClwPfBn4BnAp8AhVonsSsA2wOfABSesDXwfeCYwBxkk60PYfy/kLgc8Avy1J7VjgGGAn4O3A8ZK2L0NvCVxgexTwInBwOT8ROMn2WOAU4Pv9ef8RERHxj1KxjRXdF4GpwKvAJ4DdgQds/y+ApCuA3YAFwJ22Z5bzlwF7AD+zfbGkDwInUCW9lD7X2n6ltL+mxL4eeNL29NJuGjBS0jCqCu5VkjrmtnpXE5Y0AZgAsPHGGzfiPYiIiAiS2MaKb11gGLAqsEY5505tOr/+B5KGAhuWl8OAl3oZc17d8UJgCNWnHy/aHtN1l7rJ2BOpqrusvt6WPc4tIiIi+i5LEWJF9wPgdOAyqiUFADtK2lTSSsChVOthHwDeIelNklYGDqdaT0vpdxlwBvDDcu5u4EBJQyWtCRxUznXJ9v8BT5bKL6ps18D7jIiIiF4ksY0VlqQPAwtsXw6cA4yj+p2eCpwPPAo8SbWk4BngVKqHyWYA02xfJ+kdpd/XbV8GzJd0jO0HgUlUCfH9VA+PPdTLlI4AjpM0A2gHDmjoDUdERESPZOeT0IiBUqvV3Nqab0WIiIjBQ9I027X+iJ2KbUREREQ0hSS2EREREdEUkthGRERERFNIYhsRERERTSGJbUREREQ0hSS2EREREdEUkthGRERERFPIlroRA6h9Vjstk1saHrdtfFvDY0ZERCzvUrGNPpG0v6RTy/FZkk4px5MkHVKOL5a0TX+Nu6zU31NERESsOFKxjT6xfT1wfS9t/m1ZjStpFduvNXq8pbW8zisiImIwSGIbSBoJ3AzcB+wCTAV+DJwNvBk4AtgGqNk+sYc4dwKn2G6VdDjweUDAz21/rrR5GfgusB8wFzjA9nOS3g+cBqwGzAKOKOeP7hhX0iTgVWB7YIqk04HzgNHAqsBZtq8rfQ4E1gS2BM4tcY8C5gH/YvsFSccDE8q13wNH2Z7T6Z6+BGwEHAeMAb4FDAOeB462/Uy57+nAbsAVkv4EnAksBGbb3qO792zUvPm0ZtlAREREQ2QpQnTYAvhPYOvy8yGqRO0UqgS1zyStD3wdeCdVMjhO0oHl8prAfba3A+4Cji/nfwO83fb2wH8Dn+0m/IbALrZPBr4A/Mr2jsBewDclrVnajQY+AIwDvgLMKbHvBT5c2lxje1yZy6NUyWv9fXwTGAEcQ/XfynnAIbbHApeUuB1Ws12z/Z/AGcB7S9z9u3h/JkhqldQ6c467uc2IiIhYXKnYRocnbbcBSGoHbrdtSW3AyMWMNQ640/bMEu8yYA/gZ8B84MbSbhrw7nK8IXClpPWoKqhPdhP7KtsLy/F7gP071vsCawAbl+M7bL8EvCRpNnBDOd8GbFuOR0v6MrAOVRX2lrpxTgfutz2h3MNbqZLl2yQBrAw8U9f+yrrjKcAkSf8DXNP5BmxPBCYCrL7elslsIyIiGiSJbXSYV3e8qO71Ihr7e7LAdkcyt7Au9nnAt2xfL2lP4Kxu+r9SdyzgYNuP1zeQtBN9u59JwIG2Z5TlC3vW9ZkKjJX0RtsvlLHabe/c27xsn1DmsC8wTdJY27O66RcRERENkqUI0R8eAN4h6U2SVgYOB37dS5/hwFPleHwfx7kFOEmlhCpp+8Wc51rAM5JWpVpHXO9m4Bzg55LWAh4HRkjauYy1qqRRXQWVtLnt+22fAcykWqMbERER/SyJbTSc7WeAU4E7gBnANNvX9dLtLOAqSdOoHszqiy9RPTT2cFk+8aXFnOrpwP1USwce63zR9lXAD6m+lWFl4BDg65JmUD0stks3cb8pqU3SI8A9VO9Bl1o2GL6YU46IiIju6PVPhSNiWavVam5tbR3oaURERCwzkqbZrvVH7FRsIyIiIqIpJLGNiIiIiKaQxDYiIiIimkIS24iIiIhoCklsIyIiIqIpJLGNiIiIiKaQncciBlD7rHZaJrc0PG7b+LaGx4yIiFjepWIb/0DSQknTJbVLmiHpM5KW6PdE0uc7vb5nCePcX+b0J0kzy/F0SSMlvbwE8d4n6QFJj5U4V0raeEnmFhEREcuPVGyjs7m2xwBIejNwObA2cOYSxPo88NWOF7a726mrR7Z3KvM5GqjZPrHjWtlNt88kjQbOA/a3/Wg5tz8wEvjTkswvIiIilg9JbKNbtv8qaQIwVdJZVBX+c4A9gdWBC2z/QNJ6wJVUCfAqwEeBfYEhkqYD7baPkPSy7WGS9qTaQvd5YDQwDTgS2Av4hO0DASS9G/iY7YN6mqekrwD7AXOBA2w/J2kEcBHQUYn9lO0pwOeAr3YkteU+r6+LdTwwAVgN+D1wlO05kiaV+NsDbwaOBT4M7Azcb/vo0v89wNnl/XkCOMZ2t1XlUeuOonV8dh6LiIhohCxFiB7Z/l9gZapk7jhgtu1xwDjgeEmbAh8CbimV3u2A6bZPpVR/bR/RRejtgU8B2wCbAbsCdwBbl6QU4Bjgkl6muCZwn+3tgLuA48v57wLfLnM9GLi4nB8FPNhDvGtsjyvxHi333OENVInsp4HrgW+XeC2Sxkh6E3AasLftHYBW4OTOA0iaIKlVUuvMmTN7ub2IiIjoq1RsY3G8B9hW0iHl9XBgS2AqcImkVYGf2Z7eh1gP2P4LQKnqjrT9G0k/AY6U9GOqJPLDvcSZD9xYjqcB7y7HewPb1C1VWFvSsPqOktYFbgeGAhNtnwuMlvRlYB1gGHBLXZcbbFtSG/Cc7bYSp51qKcOGVIn6lDLuasC9nSdseyIwEaBWq7mX+4uIiIg+SmIbPZK0GbAQ+Csg4CTbt3TRbg+q5QeTJH3L9n/1Enpe3fFCXv9d/DFwA/AqcJXt13qJs8B2R3JYH2cl4O22X+00z3ZgB2CG7VnAGEmnUCWxAJOAA23PKGt69+xizos6zX9RGXchcJvtw3uZ89+1PTW7r00jIiKiF1mKEN2qW6d6fkkebwE+WiqzSNpK0pqSNqGqYP6Q6iP/HUqIBR1t+8r208DTVB/p/3gppn8rcFLdvYwph98AviDpbXVth9YdrwU8U+bd1RKKntwH7CppizLmmpK2WuyZR0RExBJJxTY663jga1XgNeAnwLfKtYupPnJ/UNVn7TOBA6mqmv8uaQHwMq8vH5gIPCzpwW7W2XbnMmBE/QNeS+ATwAWSHqb6Pb8LOMF2m6RPAv8laW2qB9j+xOvf+nA6cH+5t/upEt0+sT2zVHmvkLR6OX0a8Lvu+rRsMHyxbioiIiK6p9c/xY1YPkg6H3jI9o8Gei79rVarubU134oQERGDh6Rptmv9ETsV21iuSJoGvAJ8ZqDnEhERESuWJLaxXLE9dqDnEBERESumPDwWEREREU0hiW1ERERENIUkthERERHRFJLYRkRERERTyMNjEQOofVY7LZNbGh63bXxbw2NGREQs71KxjYaTNFLSI53OnVW2ru2uz9Hl+2uRdIKkD5fjrSVNl/SQpLGSPlbXZ31JVy/FPM+SNEfSm+vOvbyk8SIiImJgJbGN5Y7ti2z/V3l5IHC17e2BWcDH6to9bfuQpRzuefKduREREU0hSxFimZJ0JzADeAfV79+xth/o1OYsqq15fwt8Clgo6V3Ac8DmZcvf24ALgBttjy5b2e4PDAU2B661/dkS7zjgc8CLZex5tk8sw10CHC3p67Zf6DSPI6m25l2NanvdjwEfAHa2fXLZmveTtjeTtBnwE9u7SjqnzOU14Fbb3VaqR82bT2uWDURERDREEtsYCENtj5G0B1ViObqrRrZ/Ieki4GXb50oaCYy2PQaqJQ+duowBtgfmAY9LOg9YCJwO7AC8BPyKKrnt8HKZwyeBMztOSnobcCiwq+0Fkr4PHAHcCny2NNsdmCVpg3J8l6R1gYOArW1b0jqL+d5ERETEEspShOgP7uX8FQC27wLWbmDyd7vt2bZfpar2bgLsCPza9gu2FwBXddHve8B4SWvVnXsXMBaYWirE7wI2s/0sMKy03Qi4HNiDKrG9G5gNvAr8SNIHgDmdB5M0QVKrpNaZc7p7qyIiImJxJbGN/jALeEOnc2+kWs8K/5z4Niq7m1d3vJA+fiJh+0WqBPXjdacFTLY9pvy81fZZ5do9wDHA41TJ7O7AzsAU269RJdNXA/sBN3cx3kTbNdu1Z4dsvjj3FxERET1IYhsNZ/tl4BlJ7wSQ9EbgfcBvSpNDy/ndgNm2Z/cx9EvAWr22+kdTgXdIeoOkVYCDu2n3LeAjvJ4M3w4c0vGNCZLeKGmTcu1u4BTgLuAhYC+qdbuzJQ0Dhtv+BfBpYLvFnG9EREQsoayxjf7yYeACSd8qr8+2/YQkgFclPQSsChzb14C2Z0maUr5K7Caqh8d66/OUpK8CDwAvAI9RLRfo3O55SddSJaPY/q2k04BbJa0ELKCq6P6RKrHdCLjL9kJJfy5xoUq8r5O0BlXV9+S+3l9EREQsHdlZ4xfLTvlWhFNsty7DMYfZfrlUbK8FLrF97bIavye1Ws2trcvsrYiIiBhwkqbZrvVH7CxFiMHgrPIA2CPAk8DPBng+ERER0Q+yFCGWKdt7DsCY3X6PbERERDSPVGwjIiIioikksY2IiIiIppDENiIiIiKaQhLbiIiIiGgKSWwjIiIioinkWxEiBlD7rHZaJrc0NGbb+LaGxouIiFhRpGK7ApL08hL0OVLSw5LaJc2QdLGkdXrpc7GkbZZgrBZJ08vPC5KeLMe/7KHPFuW7ZuvPfVnSp3oZ6+9tJF0q6cBy/BtJj9fN46DFmH9r6fMnSTPrYmwk6cVu+nxc0hF9HSMiIiIaLxXbQUDS+6i2it2nbDG7MjAeeAvQZaIGYPvflmQ8223AmDL2JOBG21cvSayldKjt6b03e52qPX93tL1I0r8Bo213JM7d/vdiu9ftfSMiIqJ/JbFdgUnaEzibKjltAf4HaAM+CQwBDrT9BPAFqm1snwKwvRC4pC7Ou4BzqX4fpgIftT2vfvvbUiX+LrAfMBc4wPZzkjYHLgPWBK4DPmV7WA9zXqmM9R7AwNl9SXolbQmcD7wJeAX4N9u/68v71CnOZ4EPl5c/sH2epC2A64GHgO2BdwNP9RDjHGAfYA7V+/BXSV8Gnrf9HUmfBo4HXgMetn1kd7FGzZtPa5YORERENESWIqz4tgNOAN4GHAVsZXtH4GLgpNJmFPBgV50lrQFMoqputlAltx/toumawH22twPuokrcoEp2v1v6/qUP8/1gmet2VAnktyW9uVx7a93H/tOB+orxROBjtscC/0GV5Pbmyrp460jaCTgCGAfsDHxMUscC162Bb9vepuMPgG4MB35d3od7gWO7aPNZYIztbYETO1+UNKEsd2idOcd9uI2IiIjoiyS2K76ptp+xPQ94Ari1nG8DRnZuXLf+9QlJhwJvBZ6sq35OBvboYpz5wI3leFpd7J2Bq8rx5X2Y727AFbYX2n4W+A1QK9cetz2m44cqOaesBX478NOS8F4ArN+HsQ6ti/diGfuntufafgn4GbB7afuE7dY+xJxr+6ZyXP8+1GsHLi1rbhd0vmh7ou2a7dqzQzbvw5ARERHRF0lsV3zz6o4X1b1exOtLTdqBHaBa/1qSxpuoliv01QLbHeXFhSzbZSyi+ph/TN3P6AaP8Uof282vO+7ufXgvcBFVZfiBsqY5IiIi+lkS28Hha8C5kjasO9eR1D4OjCzrTKFazvDrxYh9H3BwOT6sD+3vBg6TtJKktwC7Aj1WSm3/DXim45sNSt/tFmOO9WMfJGmIpGHAAeVcw5QkdkPbv6JakvAmYGgjx4iIiIiu5eGxQcD2LySNAG4qideLwCPALbZflXQMcFV56n8qVbWxrz5F9bH7F4Cbgdm9tL+aalnBw1QPj51cHr5au5d+hwEXSjoLWA24FJixGPPE9gOSrqC6R4ALbbfVJfWNsApwuaS1qP5wPLcse+hSywbDGzh0RETE4KbXP12OWHyShlKtO7Wkw4DDbR8w0PNaUdRqNbe29mVpb0RERHOQNM12rfeWiy8V21haY4Hzy/e/vkjX3xIQERER0e+S2MZSsX031Vd3RURERAyoPDwWEREREU0hiW1ERERENIUkthERERHRFJLYRkRERERTyMNjEQOofVY7LZNbGhqzbXxbQ+NFRESsKFKxjT6TtKekG/vQ7gpJD0v69GLGP1rS+d1c+4WkdRYn3uKS9HIv12uSvtefc4iIiIgll4ptNJSk/w8YZ7uRu3lh+18aGW8J59BKL9v/RkRExMBJYjvISBpJtfXtfcAuVNvL/hg4G3gzcERp+l1gDWAucIztxzvFWRM4DxgNrAqcZfs64FZgA0nTgZOArYEJVNvg/h44yvYcSR8EzgQWArNt71FCry/pZmBz4Frbny3j/QGo2X5e0sm8vhHExba/U+7rJuA35b6eAg6wPVfS8d3MYVPgcmAYcF3dvf038BPbPy+vJwE3As8Dp9jeT9Kwcv81qq2Bz7b9U0nvKe/l6sAT5b3rthI8at58WrN0ICIioiGyFGFw2gL4T6qkc2vgQ8BuwCnA54HHgN1tbw+cAXy1ixhfAH5le0dgL+CbJdndH3jC9piyecM1tsfZ3g54FDiu9D8DeG85v39d3DHAoUALcKikjeoHlTQWOAbYCXg7cLyk7cvlLYELbI+i2gXt4HK+uzl8F7jQdgvwTN0wVwL/WsZbDXgX8PNO9386VULeYntb4FeS3gScBuxteweq6u7Jnd84SRMktUpqnTknW1pHREQ0ShLbwelJ2222FwHtwO22DbQBI4HhwFWSHgG+DYzqIsZ7gFNLZfZOquruxl20Gy3pbkltVNXgjlhTgEmlmrpyXfvbbc+2/SrwW2CTTvF2o6rkvlIqodcAu9fd1/RyPK3cS09z2BW4ohz/pG6Mm4C9JK0O7APcZXtup3nsDVzQ8cL236gS7W2AKeV9Gd/F/LE90XbNdm3EUHW+HBEREUsoie3gNK/ueFHd60VUy1O+BNxhezTwfqqktTMBB5fK7BjbG9t+tIt2k4ATS1X07I5Ytk+gqm5uBEyTtG4Xc1vI4i2X6a5vl3Mo/qlkWpLqO4H3UlWPr+zj+AJuq3tPtrF9XE8d2rwZI0/tXAyOiIiIJZHENroynGqNKsDR3bS5BThJkgDqlgN0thbwjKRVeX39LpI2t32/7TOAmVQJbl/cDRwoaWhZ+nBQOdeTLudAVTU+rBwf0anPlVRLHnanWpPc2W3Ax+vu5w1U65Z3lbRFObempK36dFcRERGx1JLYRle+AXxN0kN0XzH9EtVDYw9Lai+vu3I6cD9VEvlY3flvSmoryx3uAWb0ZWK2H6SqwD5Q4l5s+6FeunU3h08CHy9LFDbo1OdW4B3AL23P7yLml4E3SHpE0gxgL9szqf4QuELSw8C9VGuYu9WywXD+cM6+vUw/IiIi+kLV0sqIGAi1Ws2trfkGsYiIGDwkTbNd64/YqdhGRERERFNIYhsRERERTSGJbUREREQ0hSS2EREREdEUkthGRERERFNIYhsRERERTWFxdnWKiAZrn9VOy+SWhsZsG9/W0HgRERErilRsY4Uj6QuS2iU9LGm6pJ0kfUrS0MWMs52k6XWvD5c0t+xQhqSWstFCRERErACS2MYKRdLOwH7ADra3BfYG/gx8ClisxBZ4BNhY0lrl9S7Ao8D2da/vWYy55ROQiIiIAZT/I44VzXrA87bnAdh+XtIngPWBOyQ9b3svSRcC44AhwNW2zwSQ9AfgSuDdVFsHtwI7Ab8ExgIXUCW0D5R/f1n6nQG8v8S7B/iIbUu6E5gO7Ea1le6fgDOBhcBs23v0dDOj5s2nNUsHIiIiGiIV21jR3ApsJOl3kr4v6R22vwc8Dexle6/S7gtlu75tgXdI2rYuxizbO9j+b2AKsIukNYFFwJ1UCS38Y8X2fNvjbI+mSm73q4u3mu2a7f8EzgDea3s7YP+ubkDSBEmtklpnzsmW1hEREY2SxDZWKLZfpqqsTgBmAldKOrqLpv8q6UHgIWAUsE3dtSvrju+hSmB3BKbafgLYQtIIYFh5DbCXpPsltQHvLDG7ijcFmCTpeGDlbu5hYkmEayOGqk/3HREREb3LUoRY4dheSFVZvbMkmuPrr0vaFDgFGGf7b5ImAWvUNXml7vg+qiULuwL3lnN/AQ7reC1pDeD7QM32nyWd1V082ydI2gnYF5gmaaztWd3dS5s36+NdR0RERG9SsY0ViqS3Stqy7tQY4I/AS0DHQ2BrUyWbsyW9Bdinu3i2X6J6+OwYXk9s76V6GG1Ked2RxD4vaRhwSA/z29z2/bbPoKoob7QYtxcRERFLIRXbWNEMA86TtA7wGvB7qmUJhwM3S3q6PDz2EPAYVdI6pdtolSnAAbb/XF7fC3yVsr7W9ouSfkj1LQrPAlN7iPXNkngLuB2YsQT3GBEREUtAdh5eiRgotVrNra2tAz2NiIiIZUbStPKAd8NlKUJERERENIUkthERERHRFJLYRkRERERTSGIbEREREU0hiW1ERERENIUkthERERHRFJLYRkRERERTyAYNEQOofVY7LZNbGhqzbXxbQ+NFRESsKFKxjUFH0sqSHpJ0Yw9tjpZ0/rKcV0RERCydVGxjMPok8Ciw9kBPZNS8+bSmwhoREdEQqdjGoCJpQ2Bf4OK6c+Mk3SNphqQHJK1VLq0v6WZJ/0/SN+raXyipVVK7pLPrzv9B0tmSHpTUJmnrZXZjERERkcQ2Bp3vAJ8FFgFIWg24Evik7e2AvYG5pe0Y4FCgBThU0kbl/BfKHtfbAu+QtG1d/Odt7wBcCJzS1QQkTSiJcevMOW7s3UVERAxiSWxj0JC0H/BX29PqTr8VeMb2VADb/2f7tXLtdtuzbb8K/BbYpJz/V0kPAg8Bo4Bt6uJdU/6dBozsah62J9qu2a49O2TzRtxaREREkDW2MbjsCuwv6V+ANajW2J7VQ/t5dccLgVUkbUpViR1n+2+SJpVYnfssJP99RURELFOp2MagYfs/bG9oeyRwGPAr4HBgPUnjACStJamnhHRt4BVgtqS3APv087QjIiKij1JRikHN9nxJhwLnSRpCtb527x7az5D0EPAY8GdgytKM37LB8KXpHhEREXVk5+GViIFSq9Xc2to60NOIiIhYZiRNKw9hN1yWIkREREREU0hiGxERERFNIYltRERERDSFJLYRERER0RSS2EZEREREU0hiGxERERFNId9jGzGA2me10zK5pWHx2sa3NSxWRC3c6hoAACAASURBVETEiiYV2xj0JL28FH2PlrR+I+cTERERSyaJbcTSORpIYhsREbEcyFKEaAqSTgeOBGZSbXU7DZgNTABWA34PHGV7jqRNgcuBYcB1dTFWAs4H3lliLAAusX21pLHAt0qf56kS2l2BGnCZpLnAzsCZwP7Aa8Cttk/pad6j1h1F6/jsPBYREdEIqdjGCk/SOOBgYDtgH6pkE+Aa2+Nsbwc8ChxXzn8XuNB2C/BMXagPACOBbYCjqBJVJK0KnAccYnsscAnwFdtXA63AEbbHAEOBg4BRtrcFvtzNfCdIapXUOnPmzEa8BREREUES22gOuwLX2X7V9kvADeX8aEl3S2oDjgBG1bW/ohz/pC7ObsBVthfZfha4o5x/KzAauE3SdOA0YMMu5jEbeBX4kaQPAHO6mqztibZrtmvPzl9tSe43IiIiupClCNHMJgEH2p4h6Whgz7prXow4Atpt79xTI9uvSdoReBdwCHAi1bKGiIiIWAZSsY1mMAV4v6Q1JA0D9ivn1wKeKUsJjujU/rBy3Pn8wZJWkvQWXk+EHwdGSPr70gRJHdXfl8o4lLGH2/4F8GmqpRERERGxjKRiGys821MlXQ88DDwHtFEtCzgduJ/qgbL7KQko8Engckmfo+7hMeCnVNXW31I9PPYgMNv2fEmHAN+TNJzqv5vvAO1UVeGLysNj+wDXSVqDqsp7cm9zb9lg+FLceURERNSTvTifyEYsnyQNs/2ypKHAXcAE2w8uRZx1gQeAXct6235Rq9Xc2ppvRYiIiMFD0jTbtd5bLr5UbKNZTJS0DbAGMHlJktriRknrUH1F2Jf6M6mNiIiIxkpiG03B9ocaFGfPRsSJiIiIZS8Pj0VEREREU0hiGxERERFNIYltRERERDSFJLYRERER0RTy8FjEAGqf1U7L5JaGxWsb39awWBERESuaVGxjqUhaR9LHyvH6kq5eilifkPSopMsaMK/PL22MiIiIWLEksY2ltQ7wMQDbT9s+ZClifQx4t+0jem3ZuyS2ERERg0yWIsTSOgfYXNJ04P8Bb7M9WtLRwEHAcGAD4FLbZwNIOhk4tvS/2PZ3JF0EbAbcJOmS0m/Tcm5j4NPA26m2rX0KeD+wO/AJ2weWuO+mSo4fB4aUObXbPqKbMUcCNwG/AXYpcQ+wPVfSOOBHwCLgNmCfuvuq2T6xjHkjcK7tOyW9BzgbWB14AjjG9ss9vXmj5s2nNcsHIiIiGiIV21hapwJP2B4D/HunazsCBwPbAh+UVJM0FjgG2IkqUT1e0va2TwCeBvay/e3Sf3PgncD+wKXAHbZbgLnAvsAdwNaSRpT2xwCX2D4VmGt7TElquxyz9NkSuMD2KODFMl+AHwMfKfe1sLc3QdKbgNOAvW3vALQCJ3fTdoKkVkmtM+dkS+uIiIhGSWIb/ek227NszwWuAXYrP9fafqVUM6+hqrx25SbbC4A2YGXg5nK+DRhp28BPgCPLNrg7U1VgO+tpzCdtTy/H04CRJdZatu8t5y/vw72+HdgGmFIqxeOBTbpqaHui7Zrt2oih6kPoiIiI6IssRYj+1LkcubjlyXkAthdJWlASWaiWB3T87v4YuAF4FbjK9mtLMkaxEBjSS/vX+Mc/CNco/4oqkT98cQZv82aL0zwiIiJ6kIptLK2XgLW6ufZuSW+UNAQ4EJgC3A0cKGmopDWp1uHevaSD236aagnDaVRJbocFklYtx4s1pu0XgZck7VROHVZ3+Q/AGEkrSdqIarkFwH3ArpK2AJC0pqStlvS+IiIiYvGlYhtLxfYsSVMkPQI82unyA8BPgQ2pHh5rBZA0qVzj/2fv3uPsquq7j3++hDuRcK0GBCOIAmEgwBEBA0YLWBURK5RbNQFrHrSA4kMVKw9g0RaLLQioGBASASmCFyJWgSq3BrmcEMgwIHiB1guXEAUJlwDJ9/ljr5HDMPecycmc+b5fr/Oavdde+7fWOnMm+c2atfemupBrwQp241JgU9uN7c8CFkq6s6yzfUWb5eKxvnwYOF/ScuBG4MlSPg94ELiXarx3AtheVC4su0zSWqXuScAD/XW8Y/MJgxpgREREDEwv/XU3onl63j1ghNs6F1hg+xtNjDm++44Gkk4EJtr+eLPid6vVaq7X680OGxERscqSNN92bSRiZ8Y2RjVJ84Gngf/b5NDvkfQZqp+R/wFmNDl+RERENFlmbCNaKDO2EREx1ozkjG0uHouIiIiItpDENiIiIiLaQhLbiIiIiGgLSWwjIiIioi0ksY2IiIiItpDbfUW0UNfiLjrmdDQtXuf0zqbFioiIGG0yYxvRQNKM8sCHiIiIGGUyYxvRQpOXPk89s6wRERFNkRnbaBuSJkm6T9L5krokXStpHUlTJN0qaaGk70nasNQ/TtK9pfw/eom3qaTvSLqjvN5ayteTdKGk2yUtkPS+Uj5D0lWSbpD0C0mnrNx3ICIiYmxLYhvtZhvgK7YnA08AHwC+CXza9o5AJ9CdcJ4I7FzKj+4l1peBM22/ucS5oJR/Fvip7d2AtwNnSFqvHNut1N0ROFjSK56sImmmpLqk+qJn8uS/iIiIZslShGg3D9q+q2zPB7YGNrB9YymbA1xRthcCl0r6PvD9XmLtA2wvqXt/fUnjgf2AAySdUMrXBrYs29fZXgwg6bvAVOBlz8y1PQuYBbDWxG2S2UZERDRJEttoN0sbtpcBG/RT9z3A3sB7gc9K6nl7gtWA3W0/11ioKtP9gO37e5S/BeiZqCZxjYiIWEmyFCHa3ZPAHyXtVfY/CNwoaTVgC9vXA58GJgDje5x7LXBs946kKWXzGuDYkuAiaeeGc/aVtJGkdYADgXnNHlBERET0LjO2MRZMB86TtC7wa+BIYBxwiaQJgICzbT/RsOwA4DjgK5IWUv2s3ES1Fvc04CxgYUmQHwT2L+fcDnwHeC1wie2XLUPoqWPzCc0ZYURERCA7fymNaAZJM4Ca7WMGe06tVnO93m/uGxER0VYkzbf9iourmyFLESIiIiKiLWQpQkST2J4NzG5xNyIiIsaszNhGRERERFtIYhsRERERbSGJbURERES0hSS2EREREdEWcvFYRAt1Le6iY07PB54NX+f0zqbFioiIGG0yYxujiqTjJN0n6dIWtT9N0tWtaDsiIiL6lxnbGG0+Buxj+7et7khERESsWpLYxqgh6TxgK+BHki4BDgTWBp4FjrR9v6RxwBeBvwKWA+fbPkfSrsC/A+OBx4EZth+WdANwN/A2qp+Ho2zfLmk34Ms94/foz6nA60uftgSOB3YH3gX8Dniv7Rf6G9Pkpc9Tz/KBiIiIpshShBg1bB8N/B54O/A1YC/bOwMnA/9cqs0EJgFTbO8IXCppDeAc4CDbuwIXAl9oCL2u7SlUs8EXlrKf9xG/p62BdwAHAJcA19vuoEqG39PbCZJmSqpLqi96Jo+0joiIaJbM2MZoNQGYI2kbwMAapXwf4DzbLwLY/oOkHYAdgOskAYwDHm6IdVmpe5Ok9SVtALyqj/g9/cj2C5I6S9wfl/JOqgT7FWzPAmYBrDVxm2S2ERERTZLENkar06hmR98vaRJwQz91BXTZ3qOP4z2TSw8h/lIA28slvWC7O9Zy8vMVERGxUmUpQoxWE6jWsQLMaCi/Dvg/klYHkLQRcD+wqaQ9StkakiY3nHNIKZ8KPGn7yX7iR0RExCoqiW2MVv8K/IukBbx8ZvQC4H+BhZLuBg63/TxwEPDFUnYXsGfDOc+VOOcBHx4gflN1bD5hpEJHRESMOXrpL6cRY0+5K8IJtuutaL9Wq7leb0nTERERLSFpvu3aSMTOjG1EREREtIVc3BJjmu1pre5DRERENEdmbCMiIiKiLSSxjYiIiIi2kMQ2IiIiItpCEtuIiIiIaAu5eCyihboWd9Exp6Np8TqndzYtVkRExGiTGdtoOUnHSbpP0qU9ymuSzm5SGzMknTvMc8+Q1CXpjCGc07S+R0RExOBkxjZWBR8D9rH92+4CSauXhyasCk8vmAlsZHvZYCqvYn2PiIgYM5LYRktJOg/YCviRpC2BuWX/fyV9neqpYPtLWg84B9gBWAM41fZVkmYABwDrAlsD37P9qRL7SOAzwBPA3cDSUn4wcAqwDHjS9t6SJgEXA+uVrh1j+xZJc4HxwHxJ/wI8A5wErAksBo6w/aikU0v7r+h7f+OfvPFk6tOT/0ZERDRDEttoKdtHS/or4O3AMcB7gam2n5U0raHqZ4Gf2j5K0gbA7ZL+qxybAuxMlbjeL+kc4EXgc8CuwJPA9cCCUv9k4J22f1diATwG7Gv7OUnbAJcBNdsHSFpiewqApA2B3W1b0t8BnwL+b4mxfR99fxlJM6lmgdlyyy2H/J5FRERE75LYxqpmru1neynfDzhA0gllf22gOyv8ie0nASTdC7wO2AS4wfaiUn458MZSfx4wW9K3ge+WsjWAcyVNoZrJ7a7b02uByyVNpJq1fXAQfX8Z27OAWQC1Ws0D1Y+IiIjBycVjsap5uo9yAR+wPaW8trR9Xzm2tKHeMgb4hc320VTLCbagWmKwMXA88CiwE1CjSlp7cw5wru0O4P9QJdgD9b1Pnb97cqinRERERB+S2MZocQ1wrCQBSNp5gPq3AW+TtLGkNYCDuw9I2tr2bbZPBhZRJbgTgIdtLwc+CIzrI+4E4Hdle/qwRxMRERFNl8Q2RovTqJYLLJTUVfb7ZPth4FTgZ1RLD+5rOHyGpE5J9wC3UF1Y9lVguqS7gW3pe/b1VOAKSfOBx4c9mqJj8wkrGiIiIiIK2VniF9EqtVrN9XruihAREWOHpPm2ayMROzO2EREREdEWkthGRERERFtIYhsRERERbSGJbURERES0hSS2EREREdEWkthGRERERFtIYhsRERERbaHfR49GjGWSjgaesf3NkWqja3EXHXM6mhavc3pn02JFRESMNklsI/pg+7xW9yEiIiIGL4ltjCmSvg9sAawNfNn2LElLgC8D+wPPAu+z/aikU4Eltr8k6QZgAbAXsB7wIeAzQAdwue2TSvy/BY4D1gRuAz5me1lf/Zm89HnqmWWNiIhoiqyxjbHmKNu7AjXgOEkbUyWqt9reCbgJ+Egf5z5fHgF4HnAV8PfADsAMSRtL2g44BHir7SnAMuCIkR1OREREdMuMbYw1x0l6f9neAtgGeB64upTNB/bt49y55Wsn0GX7YQBJvy6xpgK7AndIAlgHeKxnEEkzgZkAW07QCg4nIiIiuiWxjTFD0jRgH2AP28+U5QVrAy/Ydqm2jL5/LpaWr8sbtrv3VwcEzLH9mf76YXsWMAtgrYnbuL+6ERERMXhZihBjyQTgjyWp3RbYvcnxfwIcJOkvACRtJOl1TW4jIiIi+pDENsaSHwOrS7oPOB24tZnBbd8LnARcK2khcB0wsZltRERERN/00l9gI2Jlq9Vqrtfrre5GRETESiNpfrkYu+kyYxsRERERbSGJbURERES0hSS2EREREdEWkthGRERERFtIYhsRERERbSGJbURERES0hSS2EREREdEW8kjdiBbqWtxFx5yOpsXrnN7ZtFgRERGjTWZsY8RIOlXSCb2UT5J0T9meJunqJrY5SdLhDfs1SWcPcM4ZkrokndFPnX+StE+z+hkRERHNlxnbaDeTgMOBbwHYrgMDPdprJrCR7WV9VbB9crM6GBERESMjiW0Mm6RPAkeV3QtsnyXps8B04DHgN8D8UndX4MJS99peYq0G3A/saXtR2X8A2AOYBpwCLAOetL23pEnAxcB6JcQxtm8BTge2k3QXMAdYAJxge39JbwO+XOob2Bu4FBgPzJd0JnAq8EbbL0haH7gbeCNwPnC17SslPVRivxdYAzjY9s8lbUqVUG8G/AzYF9jV9uN9vYeTlz5PPcsHIiIimiJLEWJYSqJ6JPAWYHfgI6XsUGAK8G7gzQ2nXAQca3un3uLZXg5cAhxRivYB7ra9CDgZeGc594By/DFgX9u7AIcA3csNTgRutj3F9pk9mjkB+HvbU4C9gGdtH1C+TrE9B7gBeE+pfyjwXdsv9NLlx0vbXytxoUq+f2p7MnAlsGVvY5U0U1JdUn3RM+6tSkRERAxDEtsYrqnA92w/bXsJ8F2qhPB7tp+x/SdgLoCkDYANbN9Uzr24j5gXAh8q20dRJcMA84DZkj4CjCtlawDnS+oErgC2H0Sf5wH/Lum40p8Xe6lzAVXCTvl6US91oBovVDPSk8r2VOA/AGz/GPhjbyfanmW7Zrv2yDpbD6LbERERMRhJbGOVYfs3wKOS3gHsBvyolB8NnARsQbVkYGPgeOBRYCegBqw5iPinA38HrAPMk7RtL3XmAZMkTQPG2b6nj3BLy9dlZElPRETEKiGJbQzXzcCBktaVtB7wfuCHpWwdSa+iWoOK7SeAJyRNLece0WvEygVUSxKu6L6YS9LWtm8rF3AtokpwJwAPlyUMH+SlmdyngFf1FrjE6bT9ReAO4BWJbfFNqrWyfc3W9mUe8Delrf2ADYd4fkRERKyAJLYxLLbvBGYDtwO3UV08Nh+4nOqCqx9RJY/djgS+Ui7qUj+h51JdzNWYVJ4hqbPcIuyWEv+rwHRJd1MlqE+XuguBZZLulnR8j9ifkHSPpIXAC6WPvbmUKim9rJ9+9uZzwH6lnwcDj1Al2n3q2HzCEJuIiIiIvsjOxSux6pBUA860vVcL+3AQ8D7bHxzieWsBy2y/KGkP4GvlQrU+1Wo11+sD3Y0sIiKifUiab7s2ErGzNjBWGZJOBD5K/0sVRroP5wDvorqrw1BtCXy73KrseeAjzexbRERE9C8zthEtlBnbiIgYa0ZyxjZrbCMiIiKiLSSxjYiIiIi2kMQ2IiIiItpCEtuIiIiIaAu5K0JEC3Ut7qJjTkdTYnVO72xKnIiIiNEqM7Yx5kh6SNImK3D+Lc3sT0RERDRHEtuIQZK0OoDtPVvdl4iIiHilLEWItiZpPeDbwGuBccBpDcfWAb5bXlsAf7B9Vjn2BeAxqsf3ngb8kerRvW+UtMT2eEnTqB6j+wTQUdrpBD4OrAMcaPtX/fVv8tLnqWcJQURERFNkxjba3V8Bv7e9k+0dgB+X8vHAD4DLbJ8PXAh8CKA8OexQ4JJSdxfg47bf2Ev8nYCjge2ADwJvtL0bcAFwbG8dkjRTUl1SfdEzeUBKREREsySxjXbXCewr6YuS9rL9ZCm/CrjI9jcBbD8ELJa0M7AfsMD24lL3dtsP9hH/DtsP214K/Aq4tqHdSb2dYHuW7Zrt2qbrakXHFxEREUWWIkRbs/2ApF2AdwOfl/STcmge8FeSvuWXnit9ATADeA3VDG63p/tpYmnD9vKG/eUM4uer01sNOIaIiIgYnMzYRluTtBnwjO1LgDOolhUAnEy1bvYrDdW/R7V04c3ANSuznxEREbHikthGu+sAbpd0F3AK8PmGYx8H1pH0rwC2nweuB75te9lK6dzmE1ZGMxEREWOCXvorbMTYVi4auxM42PYvVkabtVrN9Xp9ZTQVERGxSpA033ZtJGJnxjYCkLQ98EvgJysrqY2IiIjmysVjEYDte4FcyRURETGKZcY2IiIiItpCEtuIiIiIaAtJbCMiIiKiLSSxjYiIiIi2kIvHIlqoa3EXHXM6mhKrc3pnU+JERESMVpmxjRUm6QBJJ5btUyWd0EudSZLuKdvTJF09QMyjJX1oEG1fJmmhpOOH0N/NJF05QJ1Jkg5v2K9JOnuwbURERMTKlxnbWGG25wJzmxzzvIHqSHoN8GbbbxhsXEmr2/49cNAAVScBhwPfKv2pA3mSQkRExCosiW30S9Ik4MfArcCewB3ARcDngL8AjgC2B2q2j+lx7q7AhWX32l5irwbcD+xpe1HZfwDYA/h7YIntL0m6AbgNeDuwAfBh2zeXmJuXx+UeC5wGnGC7LmkToG57kqQZwF8D44FxkqYDV9veoYzvYmC90q1jbN8CnA5sV2LPARaU2PtLOhXYkuq+t1sCZ9k+u4zp/wF/CywCfgPMt/2lvt7fyUufp54lBBEREU2RpQgxGG8A/g3YtrwOB6YCJwD/2M95FwHH2t6pt4O2lwOXUCXHAPsAd9te1Ev11W3vBnwCOKWUHQD8yvaUkuj2ZxfgINtv61H+GLCv7V2AQ4Du5QYnAjeX2Gf2Em9b4J3AbsApktaQ9GbgA8BOwLuAEXlcYERERPQuiW0MxoO2O0si2kX12FkDnVR/sn8FSRsAG9i+qRRd3EfsC4HutbRHUSXDvflu+Tq/rzYHcJ3tP/RSvgZwvqRO4Aqq2efB+KHtpbYfp0qOXw28FbjK9nO2nwJ+0NuJkmZKqkuqL3rGQx9JRERE9CpLEWIwljZsL2/YX84KfoZs/0bSo5LeQTX7eUQfVbvbXNZPmy/y0i9ra/c49nQf5xwPPEo1y7oa8Nxg+s3L35P++vQKtmcBswDWmrhNMtuIiIgmyYxtjAjbTwBPSJpaivpKWAEuoFqScIXtZSvQ7EPArmV7oIvDuk0AHi6z0R8ExpXyp4BXDbH9ecB7Ja0taTyw/xDPj4iIiBWQxDZG0pHAV8oFWOqn3lyqC7v6WoYwWF8CPippAbDJIM/5KjBd0t1U62a7Z3YXAssk3T3YW4nZvoNqLAuBH1Et1XhyCP2PiIiIFaBqqWRE60iqAWfa3qvVfVlRksbbXiJpXeAmYKbtO/uqX6vVXK/nLmIRETF2SJpve0QusM4a22ip8mCHj9L/UoXRZJak7anW+M7pL6mNiIiI5kpiGy1l+3Sqe8a2BduHD1wrIiIiRkLW2EZEREREW0hiGxERERFtIYltRERERLSFJLYRERER0RaS2EZEREREW8hdESJaqGtxFx1zOpoSq3N6Z1PiREREjFaZsY2WkLSBpI8N89zZkgb7yNyWkPSPre5DRETEWJPENlplA2BYie2qTJXVgCS2ERERK1mWIkSrnA5sLeku4DrgMeBvgLWA79k+BUDSh4ATAAMLbX+wnL+3pE8CrwE+ZftKSROBy4H1qT7bH7V9s6QltseXeAcB+9ueIWk28BxQK+d80vbVkmYA7wcmAJsDl9j+XDn/k8BRpQ8X2D5L0iTgGuA2YFfgdmCdMrYu230+VW3y0uepZwlBREREUySxjVY5EdjB9hRJ+wEHAbsBAuZK2htYDJwE7Gn7cUkbNZw/EZgKbAvMBa4EDgeusf0FSeOAdQfRj0ml3a2B6yW9oZTvBuwAPAPcIemHVMn1kcBbSj9vk3Qj8EdgG2C67VsBJB1se0pvDUqaCcwE2HKCBtHFiIiIGIwktrEq2K+8FpT98VSJ4k7AFbYfB7D9h4Zzvm97OXCvpFeXsjuACyWtUY7fNYi2v13i/ELSr6kSZYDrbC8GkPRdqiTaVLPJTzeU70WVWP9Pd1I7ENuzgFkAa03cxoM5JyIiIgaWNbaxKhDwL7anlNcbbH9jgHOW9jgf2zcBewO/A2aXZQxQJaTd1u4Rp2di6QHK+/L0AMcjIiJihCWxjVZ5CnhV2b4GOEpS9zrYzSX9BfBT4GBJG5fyjXqNVEh6HfCo7fOBC4BdyqFHJW1XLup6f4/TDpa0mqStga2A+0v5vpI2krQOcCAwD7gZOFDSupLWK7Fu7qM7L5SZ44iIiFhJshQhWsL2YknzJN0D/Aj4FvAzSQBLgL+13SXpC8CNkpZRLVWY0U/YacA/SHqhxOiesT0RuBpYBNSpljp0+1+qi73WB462/Vzpw+3Ad4DXUl08VofqVmPlGFQXjy0oF4/1NAtYKOnO/i4e69h8Qj/DiYiIiKGQnSV+MTaVJPVq21f2KJ8B1GwfM9J9qNVqrtfrI91MRETEKkPSfNu1kYidpQgRERER0RayFCHGLNsz+iifDcxemX2JiIiIFZcZ24iIiIhoC0lsIyIiIqItJLGNiIiIiLaQxDYiIiIi2kIuHotooa7FXXTM6WhKrM7pnU2JExERMVplxjYiIiIi2kIS24gVIKkm6ew+jk2TdPXK7lNERMRYlaUIESugPGr3FY8OkzSon63JS5+nniUEERERTZEZ2xhTJE2S9HNJsyU9IOlSSftImifpF5J2k7SepAsl3S5pgaT39RPvz7Oykk6VdLGkecDF/ZwzU1JdUn3RM3mkdURERLNkxjbGojcABwNHAXcAhwNTgQOAfwTuBX5q+yhJGwC3S/ov208PIvb2wFTbz0qa1lsF27OAWQC1zcYls42IiGiSJLYxFj1ouxNAUhfwE9uW1AlMAl4LHCDphFJ/bWBL4L5BxJ5r+9nBdqTTWw2p4xEREdG3JLYxFi1t2F7esL+c6mdiGfAB2/cPI/ZgZnUjIiJiBGSNbcQrXQMcK0kAknYeqYY6Np8wUqEjIiLGnCS2Ea90GrAGsLAsVTitxf2JiIiIQZCda1ciWqVWq7lef8XdwiIiItqWpPm2ayMROzO2EREREdEWcvFYxCBIeifwxR7FD9p+fyv6ExEREa+UxDZiEGxfQ3VRWURERKyishQhIiIiItpCEtuIiIiIaAtZihDRQl2Lu+iY09GUWJ3TO5sSJyIiYrTKjG1EPyQtk3SXpHskXSFp3VL+WUldkhaW42/pcd7Zkpa0ptcRERFjU2ZsI/r3rO0pAJIuBY6W9DNgf2AX20slbQKs2X2CpBqwYUt6GxERMYYlsY0YvJuBHYGHgMdtLwWw/Xh3BUnjgDOAw4EBbwU2eePJ1KfnAQ0RERHNkKUIEYMgaXXgXUAncC2whaQHJH1V0tsaqh4DzLX9cD+xZkqqS6ovWrRoZDseERExhiSxjejfOpLuAurA/wLfsL0E2BWYCSwCLpc0Q9JmwMHAOf0FtD3Lds12bdNNNx3h7kdERIwdWYoQ0b8/r7FtZHsZcANwg6ROYDpVkvsG4JeSANaV9Evbb+greOfvnhyRTkdERIxFSWwjhkjSm4Dltn9RiqYA/2P7h8BrGuot6S+pjYiIiOZKYhsxdOOB/0a5tAAAIABJREFUcyRtALwI/JJqWUJERES0UBLbiH7YHt9L2Xxgz+Gc21PH5hOG2bOIiIjoKRePRURERERbSGIbEREREW0hiW1EREREtIUkthERERHRFpLYRkRERERbSGIbEREREW0hiW1EREREtIXcxzaihboWd9Exp6MpsTqndzYlTkRExGiVGdsYEklnSvpEw/41ki5o2P83SZ/s5bxbytdJkg5vKK9JOnsF+jNb0oOS7pJ0p6Q9hhtrmO3PkLTZymwzIiIiepcZ2xiqecDfAGdJWg3YBFi/4fiewPHdO5JWt/2i7e4ndU0CDge+BWC7DtRXsE//YPtKSfsBXwd2bDzY3YcVbKMvM4B7gN8P5+TJS5+nnpnWiIiIpsiMbQzVLUD3rOhkqqTuKUkbSloL2A5YX9LNkuYC9wJIWlLOOR3Yq8ywHi9pmqSrS51TJV0o6QZJv5Z0XHejkv6fpPsl/bekyySd0EvfbgLeUOrfIOksSXXg42Wm+KeSFkr6iaQtS73Zkr4m6dbS5rTSh/skzW5of0mZre4q528q6SCgBlxaxrOOpNMl3Vva+VKT3vOIiIgYhMzYxpDY/r2kF0tiuCfwM2BzqmT3SaATeB7YBdjB9oM9QpwInGB7fwBJ03oc3xZ4O/Aq4H5JXwOmAB8AdgLWAO4E5vfSvfeW9rutabtW2vkBMMf2HElHAWcDB5Z6G5b+HwDMBd4K/B1wh6Qptu8C1gPqto+XdDJwiu1jJB1TxlOXtDHwfmBb25a0QW/voaSZwEyALSeotyoRERExDJmxjeG4hSqp7U5sf9awP6/Uub2XpHYwfmh7qe3HgceAV1MlmlfZfs72U8APepxzhqS7qJLFDzeUX96wvQdl+QNwMTC14dgPbJsqKX7Udqft5UAX1dIJgOUN8S7pcX63J4HngG9I+mvgmd4GaHuW7Zrt2iPrbN3rmxARERFDl8Q2hmMeVRLbQbUU4VaqxHFPqqQX4Olhxl7asL2Mwf1V4R9sT7G9r+17GsoH24fuNpf3aH95P+37FQXVOt7dgCuB/YEfD7L9iIiIaIIktjEct1Albn+wvcz2H4ANqJLbW/o9E56iWmYwFPOA90paW9L40vZQ3QIcWraPAG4e4vmrAQeV7cOB/y7bfx5P6dsE2/9JdQHdTsPoZ0RERAxT1tjGcHRS3Q3hWz3Kxtt+XOp33ehCYJmku4HZwIKBGrN9R7kQbSHwaGnrySH2+VjgIkn/ACwCjhzi+U8Du0k6iWqJxCGlfDZwnqRngXcBV0laGxDwitue9dSx+YQhdiMiIiL6omppYcSqTdJ420skrUt194OZtu9cie0vsT2+2XFrtZrr9RW921lERMToIWl+98XdzZYZ2xgtZknaHlib6u4GKy2pjYiIiNEhiW2MCrYPH7jWiLbf9NnaiIiIaK5cPBYRERERbSGJbURERES0hSS2EREREdEWkthGRERERFvIxWMRLdS1uIuOOR1NidU5vbMpcSIiIkarzNhGW5F0oCRL2naAekt6KZtUzv18Q9kmkl6QdO5I9DciIiKaJ4lttJvDqB53e9gwz38QeE/D/sFA14p2KiIiIkZeliJE25A0HpgKvB34AXCKpInA5cD6VJ/3j9q+ueGcTUrdz1MlsM8A90mq2a5TPTr328Bmpf6mwHnAliXEJ2zPk3RqKduqfD3L9tkD9Xny0uepP/i/cOpQnxAcERERPSWxjXbyPuDHth+QtFjSrsA04BrbX5A0Dli3u7KkVwNzgZNsXydpUjn0H8Chkh4FlgG/pyS2wJeBM23/t6QtgWuA7cqxbamS6lcB90v6mu0XenZS0kxgJsCWE9S0wUdERIx1WYoQ7eQwqqSU8vUw4A7gyDKj2mH7qXJ8DeAnwKdsX9cjzo+BfYFDqWZ7G+0DnCvpLqqkeP0yUwzwQ9tLbT8OPAa8urdO2p5lu2a79sg6WzPpuW8x6cQfDnPIERER0S0zttEWJG0EvAPokGRgHGDgH4C9qdbNzpb077a/CbwIzAfeCdzYGMv285LmA/8X2B44oOHwasDutp/r0T7A0oaiZeTnKyIiYqXKjG20i4OAi22/zvYk21tQXQi2N/Co7fOBC4BdSn0DRwHbSvp0L/H+Dfi07T/0KL8WOLZ7R9KUJo8jIiIihikzStEuDgO+2KPsO8Bs4GlJLwBLgA91H7S9TNJhwFxJTwH/2XCsi97vhnAc8BVJC6l+fm4Cjh5upzs2n0D99PcMXDEiIiIGJNut7kPEmFWr1Vyv11vdjYiIiJVG0nzbtZGInaUIEREREdEWkthGRERERFtIYhsRERERbSGJbURERES0hSS2EREREdEWkthGRERERFvIfWwjWqhrcRcdczqaEqtzemdT4kRERIxWmbGNaCDpAEkntrofERERMXSZsY0oJK1uey4wt9V9iYiIiKFLYhtjiqQPAScABhYCy4DngJ2BeeVRuTXbx0iaDfwJqAGvAT5l+0pJqwHnAu8AfgO8AFxYju0K/DswHngcmGH74b76M3np89SzhCAiIqIpshQhxgxJk4GTgHfY3gn4eDn0WmBP25/s5bSJwFRgf+D0UvbXwCRge+CDwB4l/hrAOcBBtncFLgS+0Es/ZkqqS6oveiaPtI6IiGiWzNjGWPIO4ArbjwPY/oMkStmyPs75vu3lwL2SXl3KppZzlgOPSLq+lL8J2AG4rsQdB7xittb2LGAWQG2zcclsIyIimiSJbQQ83c+xpQ3bGiCOgC7bewy24U5vNdiqERERMYAsRYix5KfAwZI2BpC00TDjzAM+IGm1Mos7rZTfD2wq6c9LE8ryh4iIiFgJMmMbY4btLklfAG6UtAxYMMxQ3wH+EriX6uKxO4EnbT8v6SDgbEkTqH6+zgK6+grUsfmEYXYhIiIiepKdJX4RQyVpvO0lZfb3duCtth8ZapxareZ6vd78DkZERKyiJM23XRuJ2JmxjRieqyVtAKwJnDacpDYiIiKaK4ltxDDYntbqPkRERMTL5eKxiIiIiGgLSWwjIiIioi0ksY2IiIiItpDENiIiIiLaQhLbiIiIiGgLuStCRAt1Le6iY05HU2J1Tu9sSpyIiIjRKjO2MSiSHpK0yRDqT5O05zDbmiHp3OGc20usGyQN+ibQkqZIenfD/svGIelUSSc0o28RERHRXJmxjZEyDVgC3NLifgzVFKAG/GfZn8YIjmPy0uepZ6Y1IiKiKTJjGy8jaZKkn0u6VNJ9kq6UtG45fKykOyV1Stq21N9I0vclLZR0q6QdJU0CjgaOl3SXpL1K3J+Wej+RtGU5/2BJ90i6W9JNDV3ZTNKPJf1C0r829O+w0v49kr7YUL5E0pmSukr8TRtifbD04x5Ju5X6u0n6maQFkm6R9CZJawL/BBxS6n+65zh6vFdblz7Ol3Rzw3vS15giIiJiBCWxjd68Cfiq7e2APwEfK+WP294F+BrQ/ef4zwELbO8I/CPwTdsPAecBZ9qeYvtm4BxgTql3KXB2Of9k4J22dwIOaOjDFOAQoIMq0dxC0mbAF4F3lONvlnRgqb8eULc9GbgROKUh1rq2p5RxXFjKfg7sZXvn0od/tv182b689PuLvYyj0SzgWNu7lvfjqwOMCQBJMyXVJdUXPeOehyMiImKYkthGb35je17ZvgSYWra/W77OByaV7anAxQC2fwpsLGn9XmLuAXyrbF/cEHMeMFvSR4BxDfV/YvtJ288B9wKvA94M3GB7ke0XqRLkvUv95cDlvfQZ4LLSv5uA9SVtAEwArpB0D3AmMLnfd6QHSeOBPUuMu4CvAxMHGBOlH7Ns12zXHlln66E0GxEREf3IGtvoTc9pxO79peXrMpr02bF9tKS3AO8B5kvatUdbw23PfWx3758GXG/7/WXpxA1DjL8a8ESZCX558F7GZHvxEONHRETEEGXGNnqzpaQ9yvbhwH/3U/dm4Aio7iBAtVzhT8BTwKsa6t0CHFq2jyjnIWlr27fZPhlYBGzRT1u3A2+TtImkccBhVMsOoPosH9RHnw8pbU0FnrT9JNWM7e/K8RkNdXv2u+c+AGWMD0o6uMSWpJ2GMaaIiIhokiS20Zv7gb+XdB+wIdWa2r6cCuwqaSFwOjC9lP8AeH/DRVfHAkeWeh8EPl7qndF9MRhV8nt3Xw3Zfhg4Ebi+1Jtv+6py+GlgtxLnHVQXgXV7TtICqvWyHy5l/wr8SylvnA2+Hti+9PuQXsbR6Ajgw5LuBrqA9w11TB2bT+jrUERERAyR7Fy8Ei8pf5a/2vYOLe7KkEhaYnt8q/sxVLVazfV6vdXdiIiIWGkkzbc96HvMD0VmbCMiIiKiLeTisXiZcquuUTVbCzAaZ2sjIiKiuTJjGxERERFtIYltRERERLSFJLYRERER0RaS2EZEREREW8jFYxEt1LW4i445HU2J1Tm9sylxIiIiRqvM2MZKIWlSeWBBz/J/krTPAOfOlnRQf3WG0I8lzYjTS9wbJI3IPfkiIiJicDJjGy1VHjsbERERscKS2MbKNE7S+cCewO+oHkH7NaonnV0p6SHg28C7gGeBw23/spy7t6RPAq8BPlXqi+rRuO8CDHze9uWSplE9Uvcp4A1Uj8n9mO3lAJK+AOxf2nif7UclbUr1yN0tS3ufsD1P0m7Al4G1S/0jbd8vaR3gImAn4OfAOiX2OOAbQK306ULbZ/b1hkzeeDL16XnyWERERDNkKUKsTNsAX7E9GXgC+EAvdZ603QGcC5zVUD4RmEqVkJ5eyv4amEKVXO4DnCFpYjm2G3AssD2wdakLsB5wq+2dgJuAj5TyLwNn2n5z6dcFpfznwF62dwZOBv65lH8UeMb2dsApwK6lfAqwue0dyjgu6jlASTMl1SXVFy1a1OebFREREUOTGdtYmR60fVfZng9M6qXOZQ1fG2c6v19mXO+V9OpSNhW4zPYy4FFJNwJvBv4E3G771wCSLit1rwSeB65u6MO+ZXsfYPtqEhiA9SWNByYAcyRtQzUDu0Y5vjdwNoDthZIWlvJfA1tJOgf4IXBtzwHangXMAlhr4jbu5T2IiIiIYciMbaxMSxu2l9H7L1buY7vxXDGwnglj9/4Ltru3G/uwGrC77SnltbntJcBpwPW2dwDeS7Ukoe9G7T9SzSDfABzNSzO/ERERMcKS2Maq5pCGrz8boO7NwCGSxpU1snsDt5dju0l6vaTVSqz/HiDWtVRLFwCQNKVsTqBaDwwwo6H+TcDhpe4OwI5lexNgNdvfAU4Cdhmg3YiIiGiSLEWIVc2G5c/6S4HDBqj7PWAP4G6qGdlP2X5E0rbAHVTrdLsvHvveALGOA75S2l6dKnE9muritDmSTqJaWtDta8BFku4D7qNa1gCweSnv/qXxM/012rH5hAG6FREREYOll/4qG9Fa5a4INduPr2CcacAJtvdvRr9GUq1Wc72euyJERMTYIWm+7RG593uWIkREREREW8hShFhl2J7UpDg3UF28FREREWNIliJEtJCkp4D7W92PFtkEWKFlJ6PYWB47jO3xZ+xjU8b+cq+zvelINJYZ24jWun+k1hmt6iTVM/axaSyPP2PP2MealT32rLGNiIiIiLaQxDYiIiIi2kIS24jWmtXqDrRQxj52jeXxZ+xjU8a+kuTisYiIiIhoC5mxjYiIiIi2kMQ2IiIiItpCEtuIFpH0V5Lul/RLSSe2uj8DkXShpMck3dNQtpGk6yT9onzdsJRL0tllbAsl7dJwzvRS/xeSpjeU7yqps5xztiQNt40mj3sLSddLuldSl6SPj6Gxry3pdkl3l7F/rpS/XtJtpf3LJa1Zytcq+78sxyc1xPpMKb9f0jsbynv9ORhOGyP0HoyTtEDS1WNp7JIeKp/JuyTVS1nbf+ZLWxtIulLSzyXdJ2mPMTT2N5XveffrT5I+MarGbzuvvPJayS9gHPArYCtgTeBuYPtW92uAPu8N7ALc01D2r8CJZftE4Itl+93AjwABuwO3lfKNgF+XrxuW7Q3LsdtLXZVz3zWcNkZg3BOBXcr2q4AHgO3HyNgFjC/bawC3lfa+DRxays8DPlq2PwacV7YPBS4v29uXz/hawOvLZ39cfz8HQ21jBD/3nwS+BVw9nH6N1rEDDwGb9Chr+898aWsO8Hdle01gg7Ey9h7vwzjgEeB1o2n8I/7G5JVXXq98AXsA1zTsfwb4TKv7NYh+T+Llie39wMSyPZHqgRMAXwcO61kPOAz4ekP510vZRODnDeV/rjfUNlbCe3AVsO9YGzuwLnAn8Baqpwit3vOzDFwD7FG2Vy/11PPz3V2vr5+Dcs6Q2hihMb8W+AnwDuDq4fRrFI/9IV6Z2Lb9Zx6YADzY830dC2Pv5b3YD5g32safpQgRrbE58JuG/d+WstHm1bYfLtuPAK8u232Nr7/y3/ZSPpw2Rkz50+/OVDOXY2Lsqv4UfxfwGHAd1SzjE7Zf7KXtP/erHH8S2Lif/vZVvvEw2hgJZwGfApaX/eH0a7SO3cC1kuZLmlnKxsJn/vXAIuAiVUtQLpC03jD6NRrH3tOhwGXD7FvLxp/ENiKawtWv0h7tbfRF0njgO8AnbP9pZferVWO3vcz2FKrZy92AbVd2H1pB0v7AY7bnt7ovLTLV9i7Au4C/l7R348E2/syvTrXk6mu2dwaepvqz+ErtVyv/rQNQta77AOCKnsdW9fEnsY1ojd8BWzTsv7aUjTaPSpoIUL4+Vsr7Gl9/5a/tpXw4bTSdpDWoktpLbX93mP0alWPvZvsJ4HqqP41vIGn1Xtr+c7/K8QnA4n7621f54mG00WxvBQ6Q9BDwH1TLEb48jH6NxrFj+3fl62PA96h+qRkLn/nfAr+1fVvZv5Iq0R0LY2/0LuBO248Os28tG38S24jWuAPYRtXVz2tS/clnbov7NBxzgellezrV+tPu8g+Vq1l3B54sf2K6BthP0oblitf9qNYPPgz8SdLu5QrZD/WINZQ2mqr05xvAfbb/veHQWBj7ppI2KNvrUK0tvo8qwT2oj3519/cg4Kdl5mUucKiqq/pfD2xDdQFJrz8H5ZyhttFUtj9j+7W2J5V+/dT2EcPo16gbu6T1JL2qe5vqs3oPY+Azb/sR4DeS3lSK/hK4dyyMvYfDeGkZwnD61rrxj/Ti47zyyqv3F9WVng9QrVn8bKv7M4j+XgY8DLxANavxYar1fT8BfgH8F7BRqSvgK2VsnUCtIc5RwC/L68iG8hrVf56/As7lpScjDrmNJo97KtWfxBYCd5XXu8fI2HcEFpSx3wOcXMq3okrOfkn1p8q1SvnaZf+X5fhWDbE+W/p7P+Uq6P5+DobTxgh+9qfx0l0R2n7spf27y6uru29j4TNf2poC1Mvn/vtUV/WPibGX9taj+kvAhIayUTP+PFI3IiIiItpCliJERERERFtIYhsRERERbSGJbURERES0hSS2EREREdEWkthGRERERFtIYhsREasUSZ+V1CVpoaS7JL2ln7qnSjphBdo6WtKHyvYMSZs1HPuEpHWHGzsiVr7VB64SERGxckjaA9gf2MX2UkmbAGuOVHu2z2vYnUF1f83fl/1PAJcAzww2nqRxtpc1rYMRMSSZsY2IiFXJROBx20sBbD9u+/eSHipJLpJqkm5oOGcnST+T9AtJHyl1pkm6UdJVkn4t6XRJR0i6XVKnpK1LvVMlnSDpIKobx19aZok/DmwGXC/p+lJ3v9LOnZKukDS+lD8k6YuS7gQOlnScpHvLjPN/rJy3LSIgM7YREbFquRY4WdIDVE8futz2jQOcsyOwO9UTkxZI+mEp3wnYDvgD8GvgAtu7laT1WKoZWQBsXynpGOAE23UASccDb7f9eEmqTwL2sf20pE8DnwT+qYRYbHuXct7vgdeXGecNVuztiIihyIxtRESsMmwvAXYFZgKLgMslzRjgtKtsP2v7ceB6YLdSfofth8vs76+okmaoHss5aYhd2x3YHpgn6S6qZ9m/ruH45Q3bC6lmfv8WeHGI7UTECsiMbURErFLKGtUbgBskdVIlkS/y0mTM2j1P6WN/aUPZ8ob95Qz9/z8B19k+rI/jTzdsvwfYG3gv8FlJHbaT4EasBJmxjYiIVYakN0napqFoCvA/wENUM7kAH+hx2vskrS1pY2AacMcwm38KeFUf+7cCb5X0htLP9SS9sZf+rwZsYft64NPABGD8MPsTEUOUGduIiFiVjAfOKWtTXwR+SbUsYTvgG5JOo5rNbbSQagnCJsBp5WKzVySdgzAbOE/Ss8AewCzgx5J+b/vtZUnEZZLWKvVPAh7oEWMccImkCVSzvGfbfmIYfYmIYZDd8y84ERERERGjT5YiRERERERbSGIbEREREW0hiW1EREREtIURTWwlbVye4HKXpEck/a5sPyHp3j7O+SdJ+wwy/gGSThxk3WmSrh5K/4dC0uzy5Jqmnt/Ls8v//PSdFTWYPvdsf5Bx//zs9WH0aclwzmsWSbc0IUbTvmeSJkk6fBD1pkh69yDqjejPQR9trpTvqaTLypOejm9y3Bsk1ZoZc4D2+vq3YNvy7+eC7qdmjUDbkyTdMxKxm03SJySt27A/pM9Z+VnYs/k9+3P8lr6Xg/l3R9I/DiPuXpK6ymdxneH3sDV6fm6Gcf4MSeeW7VMlndC83vXb7sv+L2jsRy91/3NFHwzSX/yGOgdK2n5F2hkJI5rY2l5se4rtKcB5wJllewrVfQR7O+dk2/81yPhzbZ/evB6vkmZQPdZx1LRv+zzb3xyZ7vRN0rgVjWG7Gf/RzaB537NJwICJLdXP1ICJ7WgjaVB3bpH0GuDNtne0feYId6tVDgSutL2z7V+1ujMjZbDfc6qnhg07QaG6LdiIJbajxJATW+AI4F/K/+3PDlR5CN/Pnuet8L/nfVjRz02rTGJw/xdg+90r6U4cB1I9tGSV0sqlCOMknV9+87u2+ze/xtkKVc/27n7e9pd6Bujxm9PBku6RdLekm/poc7ykKyX9XNKlklTO/csyC9Ip6UJJa0l6s6TvluPvk/SspDVV3Svx133E30dSXdIDkvYv506SdLOqZ4vf2T1DoMq5ku6X9F/AX/Qyvp7PLu/+7fjYEqtT0ral7nql77eXsbyvl3h9tinpZEl3lPdwVqn7ivZ7q9dLO3/+LVZNeGZ6eQ+7v2f3le/huuVYz2e0T5F0a2nve5I2LPVukHRm+f7c1/39VfVs+c83tLWkfJ0o6aYy7nsk7VXKe31W/Eh9z4DTgb1KrOPL5++iEmeBpP/f3rkHe1VVcfzzBRGtSQhMh/CBOZg69jbLIsTSZnBGi7Ro1JKylDJ1LHJq8oFilmKW5Qg+xi4+UjSFkEqUV5AW6E24gEoWYFhEaYSjjoW4+mOtw+9wfuf8fucCCjH7M3Pn7nPOPvu51trP39lHS9oVP9ZzZPgbKemISOdjkh6W9PY2ZTwqyuP+KJMri2WS5U9SR7g7JE2I8l4hnwG7Ocq3oxD+D+W6PkvSW+LegRFfp1xHDs6FO1HSAuDKQjhN+Y9HDwADI/8fKbxTK53h59FI5yUV5dSy/sPPl0NHFku6JyerHZJ+HPWxQg07J7W3BcfhDfJXJM2Je6eG7CySdL2iIyDpBUnjIx8zQxbmRpwnhJ9Su1SIs2eE84hcn84s8bPZrKSkMZLGhrtJ96tkPuRvmqTZwCxV6F8unnPwweOcrDzi/nej3H8vae+4d7ykBRHfTEl7SxoEjAbOq5CZJZL6Rt08p1iBknSLpGPrlE1Q1c41yYikPpKeln8HNyur1ZJ6qUJXCmnuH3Esk3QT/qmx7NnUeHeZpDPi3veB3SP/t1f5K8TxJeAzwDhFGxrlsDTKbGT4GxbpnAY0rc6qQtfUbM/r5LvU1kUdXRVp65J0dpncqNq+NclNRR1ntuwPuevB+evc/Vbt0xVyvfhjUR6DzdqCuPdWldvsVZL2DBn6ZcjZ0qx+CmmaK+kaNXTtiBI/gyTNjnTPkrSf3GacAIyPd1+TVaQtwsxelz9gLH4GN/jI4xXg3XF9F3BquDuAk4D+wHLY9EmyviVhjgKuDfcSYGALv8OA9cA+eIf+d8AQ/ASb1cBB4e8WvAHZBVgR967CP/j9YeAo4I6S8DuA+yPswcAzEfYbgN3Cz2Dg0XB/CngQ/+bhW4F/AyeVhDsXODx3vQo4O9xfxc8+B7g8V4Z98W8rvrEQVmWcQL+cv1uB4yviL/XXoq7/BvSuqpeSd18ouTcIP0now3F9cy78VcD5Ob9dwFHhvhT4US4fV4T73EjXAKB31FX/fPzAN4DvhLsn/pH2PYF5WbniH1+/6DWus2HA9Nz1N4Cbw30w8BdczkYRuhDP9gB2CfcxwD1l4RV0aQX+Mfnd8A/i71usE1w3O3IyfyfegH4CeB54B64DnTT024BTwn0RDZ2dBQwO9weA2blwpwM9S9JZlf9BwNIKmaqbzn65+p4LvDNfn92o//4592W5uu8A7o54DwX+1E1bMJaG3B8C3Af0iuvrgM/nynt4uKfgnf5ewLuARXG/yi5tKkf827EXhLs38ChwQIluLs1djwHGVuk+FTKPy98zuTpo0r+S8lgF7Jm7Nhp268pc2t9Mox35EvCDYnmWhD0RPz3sMNz23xj3n4r01i2bqnauSkZ+ARwd7pE0bEWprhTi+zEhj5F2y8onV667A0sp2LtcGKX+SvQpazdOpCG7e+P6OAC3My8Wy6QknqKurWJze14n31W27ivAz3PP+uXiyMtNlX2rkptRNGzYJhnCv6Oc1fXlWZ0W0tqqfcrCPw6YWfLuMDZvC0ZRbbNX4fbqREJ2436fknDn0pDvoTT0P5/P+4DTwv1FYGpRFnakv+15QMNKM1sU7k6az+1eD7yMf5B7Ot7QteIhoEPSXcC9FX4WmtkzAPKzvgfhJ8usNLPsI9uTgLPM7EeS/izpEPzc8avxSu8JzK8I/y4zexV4Sj6rezCwErhW0ruBjUD20fCheAdzBt9mAAAH40lEQVR5I/A3+UxFXbL8deKNIsDHgRPU2O+zG7Af8ETuvVZxHi3pfLzB6wcsw4W5SF1/GdmZ6VOBqTXzV8ZqM3so3LcB5+ADDogz2uUfRO9rZr+J+5PwjkTGtPi/BFhmZmvivRXAvsBzOb+PADdL6oUr8SJJR9E4Kx5gV3yAVIctrbMiQ4CfAJjZk5KepiFTefoAk+QnOBnesWnHLDNbDyDfA78/PuhrxX1mZvJjT9ea2ZJ4fxmuX4vwbUeTw/9twL3ymc4PAXerMenfOxfu3SGnRary//w2SOdnYpZqF7xxPhSX34wPUq/+D5OvAvTFDxuYkXs2NWzE47kZoC2xBR/DT+F6JNKyO/CPePZffJANLuv/MbMNkfdBcb8X5XYpz8eBd6qx37cP3gleWSN9UK77VTIPflztv8LdpH814vsvjXaiEzg23PsAkyUNwOusTvrn4/XyNDABOEPSQGCdmb0oqW7ZVLVzVTIyGe/QzgE+C1xXQ1cyhhK2xcx+KWld7tk5kkaEe99I63M0U9dfxhAasrtW0m+A9+P6uNDMqsq6la5l9rxuvqts3THARIujjHOyVZfuys1NwBckfR2vw81mPmu0T/k2YlDNNLaz2UuAH0i6Au8UV/Vd7gAws3mS9lDz/twjabRbt1JYSdvR2J4d2/wZ3htxw7wJM3slpsQ/ho+ivgZ8tCowMxst6QP4SLVT0vvMrKiQxTjb5X8eMBzYAMzERyc9gW9WJaPk+jxgLT5b0gPvrG8tWT7yeRBwopkt725gknbDZ3wON7PV8qXE4lnstf0V2FZnppeVbcaL1CN/TnzxDPnNZCEUfCie/g5JVwPraH1WfJ24t0md1WAcMMfMRsiXXefWeKdKP/JlXazv2mWaw3Bd+Lf5nvsy6tZpXVqmU9IB+Gzj+81sXSxHFvMq6tV/B/BJM1ssP6lqWEk6svC2FAGTzOzbJc82WEynkMuvmb2qxn7HOnZJ+KzTjJJnGa+w+Za2fJk16T4VMh+2e1Odl+mftd+3n893Xn5/AlxtZtMkDcNn2doxDzgL73R/BxiBt0NZx6BO2UB1O9dBuYxMAy6X1A8fuMzGZ4hb6UpLIs/HAEea2UuS5lJu32v56walOlxD17L32tmIjC2xdXmq7Ft35eYe4GK8zjpL+h/tKGsj6r5T+p6Z/VHSe/FZ4MskzTKzS0vCadW+/t+xw37uK0ZrfczsV7gRflcb/wea2QIzuwj4Jz7arMNyYJDi/G/gc0A2opqPb0v4nZn9E98e8XZ8iaaMT0vqEXtN3hZh9wHWxCzN5/COMbjhHCnfBzQAOLo0xOazy6uYge/jzPYNv6fET1WcmTI/G+We/0V2Pv5W/prQtj0zfT9JR4b7ZOC3RQ8xcl2nxv6kfF12C0n74zN7N+Ij8fdS86x4tm2dFcOaj/94g4h7P1zOiv76AH8N96gaaWnFWkmHRH2OaOu7mR40ZOVk4Ldm9jywUtKnYdM+05Y6HlTlf2vZA29Q18dM6vASP3Xr/03AmphtPKVG3HVtQZ5ZwEmS9oq09AuZrUuVXcozA9/T2yviOEjSGwt+1gJ7yfd39gay3xZU6X4dma/SvyJ19SyvC6fVed/MVuNLuYPNbAVub8bgdQX1yqYVpTJiZi/gs9XX4DNsG7uhK/OIHxdJGo4vpWf5Xxed1YPxlYeMDVke2virYj4N2X0LPpBZ2OadOrpGN/JdZeseBM7MBnMxWIDmeq+yb1VyU4qZvYzLxQTgpyXPt7Z9qivvm5B/neclM7sNGE+5HoHPMCNpCLA+mwXO8TC+ggAur9kAr9tpej3YYTu2eGFNl9SFG5Wvt/E/Xr55fSleCYvrRBLC+AV8uWMJPsMxMR4vwPcNZcasC1iSmxUo8hdcqX8NjI6wrwNOk7QY35qQjUan4Pu1Hsf39VYtaXfgZ5e3+7TKOHwJpku+vDquxE9pnOa/nrwR77DPwA1rU/z46LDKXxnZmelLgMeIM9MlHS7/cUN3WA6cJekJ3GBPqPB3Gi4LXfiXAspGp3UYBiyW9Biu9NfE4GYUflZ8F15+TT9mYNvWWRewUb75/zxcnnpEmU4GRpnZf/Cly0MjzpH4UtH3Iv1buzLzLXyJ92FgzRa8/yJwROjmR2nUySnA6aEby/D9r+2oyv9WYWaLcRl9EvgZvrWp6Kdu/V+I246HIrx21LUF+bQ8DlwAPBBpeRBf0q1LlV3Kc1Ok6Q9Rd9fTPCO0Aa/PhZGGLL+luk89mYcS/SvxcwNwv3I/HqtgLG7fO4Fnc/fvA0ao5MdjwQJ8DzB4Qz6QxoC6bdm0oZWMTAZOpbF9B+rpyiXA0CjXT+HtEfi2lF3Cdn4fH6Bl3IDXxe1t/FUxBbdRi/GZyvPN7O+tXqijaznq5LvK1t2El0FXvJ99UaAoN1X2bSzlctOK2/E+xAMVz7emfSq2BXV4B7Aw2u+L8f3cZbwc5TcROL3k+dn4NosuvEN+bty/E/im4hOE8k99jq6bodcKVffREokdA/ny0nQzO2w7JyWRSCQSiVLke8f7mNmF2zstdZFvORljZo9u77RsK7bnHttEIpFIJBKJ/3skTQEOpMVvgRKvD2nGNpFIJBKJRCKxU7Aj77FNJBKJRCKRSCRqkzq2iUQikUgkEomdgtSxTSQSiUQikUjsFKSObSKRSCQSiURipyB1bBOJRCKRSCQSOwX/A6YRweEIb4+JAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7dd7f09219e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.sort_values('subreddit_size', ascending=False, inplace=True)\n",
    "plot = df[['male', 'female', 'subreddit_size']].head(100)[::-1].plot(\n",
    "    kind='barh',\n",
    "    figsize=(8, 30),\n",
    "    title='Subreddit Gender Ratios',\n",
    "    legend=True,\n",
    ")\n",
    "plot.set_ylabel('Subreddit')\n",
    "plot.set_xlabel('Submitters')\n",
    "plot.get_xaxis().get_major_formatter().set_scientific(False)\n",
    "plot.legend(loc='upper left', bbox_to_anchor=(-0.5, 1.005), fontsize=12)\n",
    "plot.text(-0.45, -0.02, 'This is how bad the data is. I promise the total number of male and female users that we have data for are actually on this plot.', fontsize=10,\n",
    "          horizontalalignment='left',\n",
    "          verticalalignment='top',\n",
    "          transform=plot.axes.transAxes)\n",
    "plot.get_legend().get_texts()[0].set_text('Male')\n",
    "plot.get_legend().get_texts()[1].set_text('Female')\n",
    "plot.get_legend().get_texts()[2].set_text('Total Commenters')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Interactive chart\n",
    "\n",
    "Now let's save the data to a CSV file so we can create an interactive chart using [D3.js][d3js].\n",
    "\n",
    "[d3js]: https://d3js.org/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[(df.female + df.male) > 100].sort_values('subreddit_size', ascending=False).to_csv('subreddit_genders.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Explore the completed [interactive chart][chart].\n",
    "\n",
    "[chart]: http://bburky.com/subredditgenderratios/"
   ]
  }
 ],
 "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": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}