{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5ef79f73",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pydub import AudioSegment\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2ee315b",
   "metadata": {},
   "source": [
    "## Multilingual Spoken Word Corpus"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d629e053",
   "metadata": {},
   "outputs": [],
   "source": [
    "DATA_DIR = \"/mnt/data-ssd-1/data/spokenwords/mswc_microset/en/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "08a86ea6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "                    <audio controls>\n",
       "                        <source src=\"data:audio/mpeg;base64,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VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV//tUxKoDwAABpAAAACAAADSAAAAEVVVMQU1FMy4xMDBVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV//tUxKoDwAABpAAAACAAADSAAAAEVVVMQU1FMy4xMDBVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV//tUxKoDwAABpAAAACAAADSAAAAEVVVMQU1FMy4xMDBVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV//tUxKoDwAABpAAAACAAADSAAAAEVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV//tUxKoDwAABpAAAACAAADSAAAAEVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV\" type=\"audio/mpeg\"/>\n",
       "                        Your browser does not support the audio element.\n",
       "                    </audio>\n",
       "                  "
      ],
      "text/plain": [
       "<pydub.audio_segment.AudioSegment at 0x7f5a82b5a9d0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "AudioSegment.from_file(DATA_DIR + \"mswc_microset/en/clips/dog/common_voice_en_91987.opus\", codec=\"opus\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "caa07c16",
   "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>LINK</th>\n",
       "      <th>WORD</th>\n",
       "      <th>VALID</th>\n",
       "      <th>SPEAKER</th>\n",
       "      <th>GENDER</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>backward/common_voice_en_18751858.opus</td>\n",
       "      <td>backward</td>\n",
       "      <td>True</td>\n",
       "      <td>90a2539a7010c22f8d1379231f2b3e5829a0e645060d82...</td>\n",
       "      <td>MALE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>backward/common_voice_en_19346834.opus</td>\n",
       "      <td>backward</td>\n",
       "      <td>True</td>\n",
       "      <td>da4bd5bc7a79e8f1140a50f2abecb7311ca2aa154f7fc5...</td>\n",
       "      <td>MALE</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     LINK      WORD  VALID  \\\n",
       "0  backward/common_voice_en_18751858.opus  backward   True   \n",
       "1  backward/common_voice_en_19346834.opus  backward   True   \n",
       "\n",
       "                                             SPEAKER GENDER  \n",
       "0  90a2539a7010c22f8d1379231f2b3e5829a0e645060d82...   MALE  \n",
       "1  da4bd5bc7a79e8f1140a50f2abecb7311ca2aa154f7fc5...   MALE  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "val_df = pd.read_csv(DATA_DIR + \"en_dev.csv\")\n",
    "val_df.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c42bf61",
   "metadata": {},
   "source": [
    "## People's Speech"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "01df541b",
   "metadata": {},
   "outputs": [],
   "source": [
    "DATA_DIR = \"/mnt/data-ssd-1/data/peoplespeech/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "416e009e",
   "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>audio_filepath</th>\n",
       "      <th>duration</th>\n",
       "      <th>shard_id</th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Peters_Twp_DOT__School_Board_-_Policy_Committe...</td>\n",
       "      <td>14.89</td>\n",
       "      <td>-1</td>\n",
       "      <td>are there any other comments but you would don...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Peters_Twp_DOT__School_Board_-_Policy_Committe...</td>\n",
       "      <td>6.24</td>\n",
       "      <td>-1</td>\n",
       "      <td>i'm wondering what the references to policy ei...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      audio_filepath  duration  shard_id  \\\n",
       "0  Peters_Twp_DOT__School_Board_-_Policy_Committe...     14.89        -1   \n",
       "1  Peters_Twp_DOT__School_Board_-_Policy_Committe...      6.24        -1   \n",
       "\n",
       "                                                text  \n",
       "0  are there any other comments but you would don...  \n",
       "1  i'm wondering what the references to policy ei...  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_json(DATA_DIR + \"flac_train_manifest.jsonl\", lines=True)\n",
    "df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fa73a897",
   "metadata": {},
   "outputs": [],
   "source": [
    "# gov_DOT_uscourts_DOT_ca7_DOT_17-3351\n",
    "# gov_DOT_house_DOT_sgw_DOT_20090304\n",
    "# snafuinfinityPlanningBoard_102213\n",
    "# WBA_vs_DOT__Weston_MA_-_January_4_2015\n",
    "# Storytelling_-_8th_Immigrant_and_Minority_Farmers_Conference\n",
    "# hrs06SCI2318_100120\n",
    "# 140722EileenStewartOnIntlDevelopment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "bcf21e5a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cctv17vt-4_2_18_Winooski_City_Council/4_2_18_Winooski_City_Council_DOT_mp3_00350.flac\n",
      "\n",
      "significant harmful full impacts to a new ski residence through potential threats to future funding whereas when you city and state of vermont policymakers and government ploys are reliant on accurate population counts and census data to inform local and state policy\n"
     ]
    },
    {
     "data": {
      "text/html": [
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8ttIH/S2m96NRpaWGGOCLwvM8vvhMPpbf6jRxCOhtkgFxKaHVJJwl3lM7azYAc9XoROKuEoehG0pI0kQJ//M4xNoU0bqI8EhFRBEKQckIWxOmWpJ3Yfh6oeeJKcQoL2purPfiVXY5erJA+zKeb7zQyaQcsKB60qIRtpoGSItEywzPCVBaoKF3VB0sLEQt0lZb2///6Wok4AKkccoG5nCA1aZ2KR1Op1W8//M4xOUbWc6Q8mJMzGUhwKTswDlOsW4sQuzI+nLscFGUKJL4jHK3RcVaP2AZqFfTofM75G6Nnmd3KXSyksyqKqLGogeBIuopn+z8RJHPvf//dZbLJuYITWa3YPnrqKcMQ/zTH6qD8FsNdYYE//M4xNYY6PKQysGHIDAHWGPyZVtESsdWvPIMZMuyeF4ZPp88oKLXF+5EJXb3nSicLr7y2nT3zdQ1V/0R2ma7o8UQNtcQETOqeYj4/+JiEW9yDT3BWEwAAMBtIUIEDDnwQ0fL3fbRgCqAAAnY//M4xNEWsXaeHsPKrOmaCA/ivVY9UNW93ctzE0XP07UWLuVksmLtdbWozSQ6p5VQnyeY1QW9YQtYpAkeUYznVcOkeBnBi0/KPtoaUjqfO2Zd764WmtaiYFU+yKVWOf//93o8GDsAgOIGAoBE//M4xNUcUlqpfnoTOJ/09b2YPoDAPpLIgUa05HhPN6VHD1WvjO0XOQHac7EIfVD3Ul+nR/S1a/20g7d2jWdR59q0VmLoi2XQPgHaEBBOFCczbSJRCPYhb9r/5zCCBT48QDT58MUILlDKKB4o//M4xMIbglqpnnjLbBN4CBwCxKWBr///yAoNsdUQ4AxiGvJx2XUWtCoL5keujfL0n6ErYVi4uuRZ5spvbUlD3NuWVJro23bhuOILgKB6xQmgnGdLwIsFXwp6Q4tJXd/Ftuse29V8eSdno9Uk//M4xLMY2Yqs3mDFgFf1jP2pqeKfUNMQcnclH6tH+xNbA5spyVhNt31q6IFkFnIBZZGKyyuTgxNp1PiRwqf1R3nkQ+6yGw6W0U/8h2Y7P0N+7jRWsIDqAiYv/2GVTpN9P0PM9aBM0VcrDpcB//M4xK4a2d6gFHpe0YKCIetqA0h67vUd+5i1f9alV4ABAnbQFQMGzCeq0M5NaN1Dn05uo1QwzBs2uItRf8uGjDWqvW1+/5VVis04lMolJb8xGxATEp0sqpohNDpFspQaBVha3nqVfalv//ju//M4xKEU+ba9lmGG0q61gDdLSU+4F4Myy5wW4D7M2JE4coQoTyZVRrUC+v1xwdhtAR+CDr820FBTJgTGwIFQFYWssaeuLmJoOhq7NmFMW7lQqp8VcKCt50x/bqctM7NvY4jvelUOAGNBWWWg//M4xKwToQKhdjPMFFKxJNhKgMyjy4t3TbzsCNio+SUuhGFYRLCCzaB38sqd+ABFBAcCQWPU7MKGHFlxAI3iNpt5SQFEV/kwwGPggc5ABr70co6x/qQpCoDGE5FpovP1a5cXrLnzpM0Aks4u//M4xLwVUPKlHnpGcGcPj1MZOjkpIpaSrI6JDOEejNeXT8JwOHbtv9Aag1chCjiWDCG5cNCpmrXJuLzNrD/raMGy56VTDT1hBCGiAEpxpKCiV9SnHPH16xXX/9KtV26D6T/XXwNX5z/6D6Zl//M4xMUUWPqlvmJGcCM0gNGayCTD2Z8gMbfcplpCyM6He1u6ZM+3k8QMhx6d3e9pm5lSNNo4RtBM26BERUjnc15rg/HpLh4QUi5yL7IlWGDDp+i5kjK/9Pw7//rniNW1Nvqi25cAJKAMB0aL//M4xNIcchaMAGYRRH8bpjzi5pKPb6RipZISIlkB/06lDCyTEpUhgoykUJBUuTrPAtEabSzzjbcKqbKexXbzc6a9szeCJIxrDQaoW76NP3N7sOqS6r0CTLaAgrQ7XBRbrQtLwXN+NcKVCoea//M4xL8UiRq2PkmSsIuLnipZwxQ/GvPJioccVReYohiGeVvThnZuakMVbmv6w/tomEruXd9ChqXtS5nm5KAlI0DWTihX9XSqskk/4pP/jCoISDOFz37E9NqYMm0jkLERniIiJBR4UjLhan9j//M4xMsU+WLaPkmSFnkVlcZYp2dn5UmpMhiHlZu819cp/7MhCic3Cc55rmyESqJtJFD+r3VfV//+6qXZg3JGGFSEQiQqqJZYk3ErIs3MBh9lVVbpyctLPWv5yiVV63Dsj/4R1F8JM85e78bU//M4xNYUsWLFfknSss28jcFbbJX7tQxqnvke/8bMQbFoPDuz742MbjM16cj3e/87dvtmF0EVk0z8RmJVrTBDC0jqPRZ8Ax4NYRe95Xf44UOBvJVvNECQA5EoCBEkCxJMmmyVZk1+xNXaMMYN//M4xOIUIcrqPkjS+mruyeZw7rkhc3QZ4SONZzMsGjN6r2f/XUJKuf2WkaHbVmPXdHt1X/T8n1+RuSp3RiKZiuScjCYfdCXJ/9NEEBYBBSwuEBIqygpUUBEV8IAb3Q6X8S1ErL2/7f16xxe5//M4xPAd2zatdkmHHzxcuVOYcTAbjBytHnmwI6FG4OhhmQJfuOe0TNDmcXXHqfD+a+ZJkcOWqEUeqe8MuE7yfX3JI7k+etBg2l625eevYuc1C8bNnEKagwYQran52hSPzmxHPGvvb91NZXaT//M4xNcYGz6mPjDLFQNkSGbE1E1oyUv/mV87tYASCzzdCE8iDTyaNJp1V2cvAJhNb6KQxVDgKxiw5wEzbHZsHICc/5040VowNwIAmLCTRYqYUdy2DQer/1qN+dlQVVlVAW6Hf+AmMW4BKg7U//M4xNUfuz6iVmDS/cByF+bWYiSMPNloTJk2fp+9YtHw+mqfQL7lsQy9P18q/zqhACEbZroTcALhA35pN733OJuckSvwjfc0CDP/ZKQQcIC7z+pDNKzSw/0efF6KilbjkbckbcETi7aNGRAE//M4xLUUyT6yXBmGGAwbplMnPqIMMTVvkQh1vsZl48iEUQne9NJoYoWNIzq5YgHBQUGhFRlIGWLTsDHyzwThMaK5j+mVBURPAv3SXpAyfd55FRh0sZxRXtDMCglBXFWHSaZSDBBqQc5/Yg2p//M4xMAUYcqmUjCHRMnC51SqdXS3ShmmWDYrnZVaIYCAnKSN1OPxVLNWhGeXfW1thx//1tL1PljMrg2dt3WGQQDhcjcv179v///ivSpEMJlrEcvoyMFkToNan1phhq6mgOoQiF5DdhpBDiK1//M4xM0U2O7SXkjMsszFBGXhHQoRt/wMZjqlpBFmVXcapnzGtsj873uUjgIgiFDlL/koQzhyExyDGLc8lpbVoUNfgX5/T4O4Ykiub4pPO/A1i8PlesyOE13m4c39/CfPldD8VyVG0/HUjhCZ//M4xNgWWVqQwsMGtBgIIdnX4iJ2P7b3W3TebTtz2kEPBy0zw92ohde3TdedkyiQmIYA8bRZHRYdh0FzVRZzVai8+5P/qcFsxCLhJMradxDHVneT0iOKvNXGVvyW+U8I27fWMai0Z7m5ztah//M4xN0UKb6MCsMKkSNAxpIkfCRH3OtXze1c3LmLaiywmRSwLwSJ1AZaZMI2YLyQs6SqilhFcYoTPWp4xJNRbcBuXlMLW0KwL9VwDVWyVF+DkSihpARf0XckZghc6SjjeGHrMO92z3f3Evb2//M4xOsZcb6c7HmZSPeld/zbxT3d27uYWD5AOmhEMQxBwACJEQAkxP3qYAmQjYhHDDeQouXEbEqSTWRKCtgddafm3GwMkAr6pWhbqsQy4wCSR8cQXFcxADUR0Yi0WNz/Rjh8QQeek83couMj//M4xOQU2cKg6nmS2Fv69KkQS5EoX1BwiTb4v4ieZKiSBO2y1FcX5KpYMGWbImCHqB1zCebbcmqiytDn1CjnuvGV0UKlMG2ayDv6GOEYqsxAF2NTJ7A21uiSCEkA6S/BcU/m5qo90KGkofXP//M4xO8Y6X6iRnmQiDXN0pMh1j5SbOG1UHzJmiteZN9/y4vQQrQfhPfz3MQQk7vgNg5rBUqfi0+Se4G1g0mZ9LVLSsUE3RQ/Oh2XIY8DO4hC81hJz6JaWTqzjkuxdUs31rXcrZ01Pvjlt2qs//M4xOoYqbK1tsJQis3HPnmAcmDQ530q8putWbnr0WbodL5vqPnftM9Wk7n5Gxx5YsI4bHhwrOT0IyKfxMOG539u29zM40eAaAQBoWhzSCYEC8S0xMEeNCNCkclI8c64kHaEzedODBw8hP7w//M4xOYXQfayVnmGaCxdFx28YHCJ9w7IBYKgEEA7gXCQZnAAg4jIT3tjTLcVHhEsbw6SBPTiCTiRSZ8Jorec4afLajtFE0R+V3OJ/xK94XfQJWguwWLz8olDnCkm9IrkzmWbZ5J/P0JSH7Ok//M4xOgpg0aQbmGZFFtWEN11LHZYsreci66b41hXeIhwhBdWJOfsoZ2QDCkRIdXmb1I39ox8XLI1C9ctRK/q11lb9/dWP6qUanHY/O7IQpEZLZdWRIVYqIlspFpGVhUcI1EVXbOzyGVPL3rh//M4xKEiM0KqdDDZNEwx3lY7D7NIBjRoCPpaaxZJ04BAUXMB28DCQFAgHEIl2KAmw59p1TsStYWeWg0DRVhEGh4KvY1P//4biJZKKTc+vnWjR8ChcZJ8YuSJrLOD7C0yAPQXOZPNlNRo8RE5//M4xHcVcOa3GjMGODCoQqaeYraytUjrqXmCP8jVttek5HH0hlEsAVFiKDJ9AZwYXB8ExAZ/KdS2C4XZAZOuy8uFr//TidcZVut4Az4gmAahc04kgBYK1GGmry3uUz/LBrNxanM7spVPq0hN//M4xIAWua6mVDJGWAl1F0QO+b97dCOwDAY+D4LXERmmZ3hM+pT2yug063y2XbQTB8GXHEEG7vWG1futUIlEYuWZ00ADw4oZ4xru/glRNzoL3FGfvDWjkSrKHPL0c3NaN72UTvMjzfCHUxi9//M4xIQVccahsniM1FBK3EUAAXeoeJ3oBghkuKA7LFmW/7aSE5H9suFQy0l9z2f2yF9zKv//2VElhABd1pRkvwDjakrlr5fAaukewmF3wLeHrs/Ivn1dWZaZIQ3rKEjFB86iG7Ic9LA1SMER//M4xI0WYTq2fhvSFDACwmAQkFYa0gjSrWIyxsYTGiri8rXt+Z1TR37v9X7FQOaxux918JKkfDm7ZCVj8OP4ouy+24VJlvc5iaSxO46/TDAjHaRabzAJDkACB8K648clI4LA0DjlsHA3sHIp//M4xJIUoM6yXmDSoNG932/Rn2oQgsIAFFoBjU3K0AoAOsxbN0LaLiwdOpIbDFk2gymGZLXAhuVv5/ozc9vUVtBMmQOQ/LAwCpEIj2r8g76/897XqWTlEP7WCIz75nbDiLX//HJ2/Wu/8K/T//M4xJ4T2bacKMMEtKpvLnRBqtXe2xyRJxvf8Yis4KlZLuO1Xq5sSsB+6xJOghFgK5gDWMTEKBIqqM0/NlBEcAXsPcw/97Czk4GekCeKrBa4SPEFhZxeX0Ibc38uJ4sRN5v6/+rzCLVB0GJx//M4xK0VCba1kHmYzcE8mA8UhxOlUrvyBcvRjlDptJvgIa2bR8v5klKcKWAhnmcs3+Vnu9NAVf/poxlVHClSY5dS2urUUtkt/RVdSA3HEjBgogEBRkOziziGTJ9CEY5zka9X+tT3O6vDuDFz//M4xLcUwUruXnlGuqoAgOGFRZJ7bD8Mec/qyP0iZtXUYO3ZflpF/fvQb+PZtdm1p23xtLrW/ukZGVLUtmLAsL0oc/wBy9xjsG/Mq/qfmWUK2rXpk/2bQwMNPhOEEbo/fbsm2ri5Aw9jJQZp//M4xMMZCz7BlmIEjxq/SAcWDITOxPNAwyuAQrqKNZHJI7I5ZIyhyA8eUzYMSScK0BgmRMKCgGc9pYwQ6ZGYbhF4SHXu6uYJs/LPIsuHGQ1GHPOOvt/y9TZB1NrkQ6UExE01T7DHrr6VPJO0//M4xL0b20KdjGBTcJ7/9bsN7w4qHXRhsaQvAo5JAuJBlEP9aTBBUeRobpci3ItvRh1u2BCljMhrTNMMwb1MqpIXBMckYapV4eF2sD0CPTIa5kMAS5+xq3V5Muo4Y6e63Sz//l/dyAP0RpMX//M4xKwVCYrWXkmGxgp5zcpD+8LjxLBh45eOn58HwNf+T0IlHsRVeyWIpTCAARJneqquQpf9CUb1U7l+6HeRnWnXYkjajggHMBdASBum+w+v//9frV8RUoBBIyK0IUnrKwJH4dr4Zp4Fbp+H//M4xLYUOOqhlHiSzMKo8pgdBnt1Ny9R/DW0qSQHyHC7UAQlxHqBamF2oyaHS9pC8PGY8D6YI0UdyyOfLbI5RBddJjAlHpiGtDDyqmqwu9OVOQbXyZ6nE4IQP0Cd8U3/2zbo5UTRY1jt2k1j//M4xMQUOhKtnmCS/IZkmbHhL/kSp5kDSrMMFJUWlsO5yIUQImi1oMgqbXbvIio1k+1xKPcXdq//9zV9knp1VaYEniYiVLRClPVQWHICrUfGe4GaWB/CAyDmpScr4khhyGI7B2Tjjv/hmmmH//M4xNIUog6xukoG+Bzc1Uujw0sW5K/of/RP+wLWk0JowVwjSQjsL+fS/2+xl4f2OiiQYb5IOo1Viz2jmqK2vbTH/FGAFN1qRNu8UkRCFImDxqmLQkxN76absg0mxNaMare5uv26uxplKjGR//M4xN4UiRbCNnmGqsRVSNY7vodCnhLpIRFrXmtNUBEtbtO9KFdv+30T289GISRu6MqMc56MjeJ0TpKo0aPzUFcoVSjH6iBAFDwrbmjMTmRhuC4rbD0UuxpxFZFCog5hogxhcOXGMg5mNHF0//M4xOoYsiKhvnmGmJi5mkMp2U7aiE+4yaZgjxrGICKhYyAcRXPVBwPB+VwMHkzOfJg/3Jj+UxJLKpf5a1Onk5HdhaBfuktI6QNrGEcNtFa5ZxpAqDlrASKj6xKCBIqYpo8yVSpHtvvto5UV//M4xOYcMz6lvkiTPWc9sDUydN4s2/giZTygJ7obXqrkerGWHcQDNmIg0FXNyamXUR0YUDw9czN9qEBtYZOpWJQ4Hnf+hkk9wT8sSeqoeRk929KQZclaFQcJZ7NY4APobLEBpSxsfz22SRpu//M4xNQbMzqhHChTcdaWgUJxJmCYbcVascl3KEz434g3rNmxUPV3ojsz4cugXWXMEd4SMhuOdSKS32b+UddE72ofDMn3tEpINkbCwTUB1uSKImGWIIFFp9K+gehExE7VmlJGIwl20MR0v16///M4xMYUkSayWjJGaNicr5vhuWz26iW9/nXc9/zz/y7OnbGEAsnSCj07CwRCxk/T1xqgialTm6x6ec/8kknJZrbLY45BeFDxsUEUEC+0AHgvRlANDmegTKhgzVgnso1EHdHVy7T7yxuNfAsc//M4xNIU4WadvDCG4G2x0bTn8pBEYBpIJkISAEOksS4F6/DgwOBAMFKw8JkTaUyrS56tqGVgs/WbE4PA0OUDQFqDiEyaugFSX/+1We/C9ZIpGpJZWsumwA1ltpDRDDFa1bpcAQzxnYtK7dxd//M4xN0TqdKdujDM3FyLJmetl+n6zS2r5cP4lii1Q7UmQAqxt49znrrHpue0gFoilzf+vpulzKQQaPjZzQOhsaz9qwAnt4Z/L9x+s9CSqKz1dCKg09VztE2MhipsZAS62isdOxnAjKBgJj/U//M4xO0cgVbKXmPYRomFPQx94wjDCUqBkCIHxMWGhIsVCRgseNjB4K1nhKGrRemDtzSr2m0pPoPwVkCXxdswY0kE42oFuXaR2yyUZhNNG2OSbycRKfletMPW1ZtP8OCTCTDElI4st3MpyIrF//M4xNoUgaK+fnsEnHQxhx2VjuIgyWfKSawlU1DWOlzbIcjVcddHKXRPLQxFtVnGRce18Y1yuEUmnMjFbhdnmziT1aICaaqWjr/730AZBiq46YjofKQZ0LMchZow0rgu7qW4B+krhGvOuq9M//M4xOcX0SatvmJGZDHjeuFsn7MwxKnL1kUOHBiFaH606VR1alX9wrHpE2FY8Wr1aXl+kv/h+A5YjgVNIW0vNYtxnqo/xXZy9mnSVAtF2q6wzfc3YpmUbHvv+3p+vjVpD+c+YTpM2mgv86st//M4xOYXsgadv0koAJjOw91b38/bpHG1dv9X3+OCJd2pn9Yj2J55f/b/wWo3uxKJOmcS0MNab2BvMAmi7aiENHY3Kf7tmPvOvSG8wz8UM1v8J8+ccfpFgftnphAJBEcWRdkzLk6sd5+m0WTi//M4xOYpYyaNlY9gANphXDC7igIAMLp26GIom73V53X/7bvzrYQ3nIG9d/xA4uskmia1FsQsfQrJYqc1UDsSqJbM2xr+zUqrBj43hijqGakxfC28KAl6+WRBnCofLZHG2WUTsFWQNuIdpFqE//M4xJ8WATaQC89gAHmRKMA046wtkUpeiVZ0cioV621dY5LZbbtbrvp9bqADrIUJChzerjeUhTgxCuLGW5xRqFsimL6VcVTAyBYsM2vWVTEDZpFJYqtl+rvJ3XSqfiXWh6tWxM8++fRe+2hR//M4xKYWQb6xv0kYAJ2cKD1r+axmaTa8yafFdqUXZvq1zNqs925rFrNvv3fXx8YczX8fy+2hpa3dWnbM5LjJg5UmRaeUpeYqdM9MzMz25ff/5vu9t4p/LsLLp3wa0W9/v23+0tl8ijBYdMAu//M4xKwnIv6iX49gAWo8rtVvRnhXsS2hgVxSuROHsiOMYUcTB2AgIqFliwwNHDyQhEIST5AtUQ5wdswkDwQA/JFGBJEyAQEI+JW50LA8GzDdQfCJPl8seRdECodCIO/5uyX4vhO+aeVgQQ/H//M4xG4lIy7CX4xAAG/HGsF1TFX8fFfk493Pcaeh8VL7j3X5jvrvaBsfrXMdSpFf8V/5ukYHBXx5AJ6U86cQhwiNmZGR6/fv4z/4srIEbdvJw4dolUACq9ZTpwNBGYQE7sJFhwe9hIZw+Fu///M4xDgXAWqdbc8YAA7MjJBYYOo0ihE+LxdX1B2RLBoDjbbGSBp7JXeWlp2s0M1VaIAIAtjFpiJUS0BZpZg0gfH4s0PRmCRfYgpADZARhhuzydag10kVuVhJK4xbMjQCCsy2pCVSuEaeui1h//M4xDsYGdKhcmDSyDYaYmtb1VMRckIlQxaJdhOnNwWdNksw4sqK2UkFCScTkmdRpfI1giFmWyiBD2d8A8qTCKV8RWikx1lA3NCuV3IxWijjieiZsf55nQTGgVdmUQBCrr5nxrTy/y9jVmsE//M4xDkUqXaYTHsGhIEQpDYdyTAaHukZINWaHMPkCwpFXau3//96jSbllscaElGNEAQT5mvF+6qhmz0DM6CKFN73ZYcU45KdJ/0oj6/0b6aN7+76f1chXkbt////0VmIp6vU6Mpz0fZUa1yK//M4xEUUYz7WXnjEXvV9f/U+6AbkOYADi0rCAMWXfvot6f///9u5GO/1/6f//kv+dYQy8vNF6wSyAMCuwyvzpJPeqcn0a+SdK5zupMp50c5921Q96orevoyxZEeMqFbqkkblr1lh8zuGgR0b//M4xFIRUw64ACsFwXq87WKK4w4ToBgc0SnWeAgAb9zQpolCAMMEQlFSYpVc0kTNJnaYlceBo8tiBeoqHUlZDpKhrld1x78kIgae7laiv//K1QTUq3G5UrM/kjrUa1VQayHH6QKIzMIZjo8A//M4xGsUCOrmXGDSktIqEIhTN7vWl2j406LKBGC3KQk05BWWTWL21k7zvG6lXnEaghNZ/9P/SnHCbmu+v93/q//88pUoC3eJ1sTwmE8+snNyS02bgddTkIclVz9+KmLenVrjcA8gCxGbdWdQ//M4xHkUEb7OXHhFSq8SwEx3oSMVZm1fSd01mffvZqI9Lt5e5QpeRY5udplWAEgSODfUk7//0TgIC6oVhA04DMluPY272Y2WNa6Gsy1LpTPozNbTSMpmVWMR97GUi5yHefn3vlkkQoLru9M3//M4xIcVScKsfmFFACn///rM7JTt///5bd++/oSydbq/609JbJVq0Q93djoDSeoQkgoufswF9jSKZCl2WCk7KTI1okYMnUiRhCc3BpWZyuCOCxbCoSLFqKDYUHFi5gnD6goLHp7ojalCIjBV//M4xJAUkzqhnHjE2W6Z/8asaLEZRhUL3LSf2Mf/wRDLTgkGVf9m25I2+Q0/KJQQNTv7U1mu9Sij62meHtmp27Tsx5vTkCpYhYACyyC0Lahgac3WOXoEQqelJ8snhwuXedz8h1IGBigg26JL//M4xJwVCNqeVHmGNO5Cy5wvv3jjDrMf6v3qogkAXkpR/Ecqh2IbHOrIjsrkt+sJwRWz9HENbIyO0JlAiAPqERXyapkck/RHmT7GsYyq/w8llZr89VK/yc7qRs0DfT0pWdW6p/qPXokWDD2+//M4xKYVGjbFvHmGfp1jnII1MEStlksS8PQQwqlcVROGWHoIAAB4lupjjYft365vnzCxCIZZF6T4jZMhaFGYA/FBwBBRZjLwRVwqf8Jbi0riO/k82Z/HTr+1H/jkms3eo4aE/pUQUNkKO9n0//M4xLAVWdahlmGGlFlV0NF1KEpchxES7IzbbYNJ9a22e2cx+0FykXGC4oJADmwM6VONMctgb/0DgUyzFUV4rRQsJ2SoZJSCVCeyDiVMVEJleYLaMVYuwsWOYsc2Q/p8yv5ZqBSlu48mhA2q//M4xLkUkTKkUGPZIQODBmiFvYOyaImmswVh+32eFPUSeasQMoCeGBfrm35/fVaqzUii6+vxZ4kEZjKLGAxayBIignqyHvY2EAfIKR9U5eNUozxotFrUPDBzvUAwILjQ5AFkwOAmZrGPMZZV//M4xMUWmY6kqGYZQXoRQRM4SoUAaWVQIJoRaNBslMFzMzVd6uxbKGBCgodyz7tRVKXwysbcoklASL/9v9sBEncEKexmOqgZjlIMwwWaww4Vy7xSwXVhdJT17vtFT4RCIWBATvWSAPC7jsEF//M4xMkX+eLVnkjM3sAhdHNdZtYmNzqeqsyRRNxmf/cl5RZrY9LbqPh7jNU2pJMmnN+BwVY7OGpRxBmVHU7sReKNv1JCXiCUqJ9A2jZRM0Ll/9CP/xyDCLbW8sb/ERjLeq4s8fy41e6siQZH//M4xMgYYeKpnklGwJEUq33BXwkgoGDL9+zsZPFAnEYS9D5HzIeg3CCo445JTLJY0FQfonQgJjm4qIdltl1k2sutttB5ZJKcw7UZiCQ6FWk6W9Bf89sjCTtVLOuQrqUEDK890rXeFKLcZRzq//M4xMUlI0qdlkjfcBSterUTt0RzgiKZzHJIMtKtr+XT/5CMVt9sZiFYnVPetS87kwuysjszzrK1cYxXliKTo6rRKYpD1cfeV3GINPieMFcA7hw8SiUtdUlJE7a5G+Q6IySUcmFFFXVB/3MH//M4xI8es0bmXjCZHjHZrwbKoi5dSzMOKc816iGJKuZFSjmMaxoCMQEDQoaJhPsoFQWlgkmMeHav/Ktx4aIREVcyS7KYi3VnUCU6oOrG9zVKxyAFqsRqHjl7NK6MMhIAQ9VMseSzR2V5Emh9//M4xHMU6RrGXBmGXpAbDqknpLKfHPUpchxwiHPMlh+RX553//8rRxnhWrDIsoqQQO/8WOgy+ZmmVsFQI5xLvOzNtE7FtlVR6IsqRxlLwIKFMiGpRLdiZm5GgIwrpLUUbp5nTKqUY1uWyqAC//M4xH4WCcqpvGGGxIoZBZ6zg+TBQNvDAEkQqXQNSV4lgVQfCLkS6QTwmIz9Ma0mOA6f/sJYar1LcGne36PrDSEaBWphEFSQnNgGKITSyI+30TQRmyO9hosn8OT7fb1UMaakZtJ0u6R59e+a//M4xIQWMP6lvHjSzPdHqWchnZ5HLgss4VHJqTznEjdtKnOLHWlkhVJm4FEMt0aE/fLJHLVi0W0gLI8PPRQh+GskkUhDeAOa7x2gpHMeG6j0ia8yR6mRX55bmcoQYo68VE5s2KnyFp/U5bWB//M4xIoUQfqQUEjEuIcIMovuUEbEQff+rq/WD9RmkOJVSzke/21rbkEEgq4ADHABvqO7AzM13M89Da+9T/vfW6WPDyz3GMvLjraA1wsiFNL76v+qnDrlDhf56uOtf5qu3GKHGopVZH/+R1Yx//M4xJgTES6ZEjBG4NplqGMlD4M63VJQrys8otgZKkackeIGBjVk6kk4GpCNDoCrCEBrnWlkaO4gIcqMg8r2Mck6aonrrnFSKZv2hBEIBCMoVJnLvYnr0ESeoXLKvfc/OcIQggQQggaYunPO//M4xKoW8ma2XhpFaC//iW7DSI5JLbrEmhthix+OTVADqVDAIC0sRRKudsn65cNTgBvLJOGQAeS8pbnr9nf2/++xLRPBXw9jwYyhRucObkequzmlGm0DHg5//op3M66Ua6+nrlBZLMscAAdd//M4xK0VAcamVHiSnAnxUsNBpVWkSYEsNJ54WzKKmStz5LepKVRTs963td6tUwo9EfvRwTmM4mi09GMlYMoEDoaWxtSWz/8mOAYPH2tNyEalf0JXs0ggGAfNBhUAYvcAtjZDQQSWT3NSvKOV//M4xLgUsbbaXnjM3v5mhJmec4iP6Im/lnxIWtYn+v8JTSF5PT4lmLRAb6GHA37PCYwskEOnmXdbGf9u7p0rxEff//2jvcOZ9IKJwYQTzIx7qD1zzEP/9PJp9v2zPr6+9m9kwtoo2kHJ2TIC//M4xMQVEaqdHkhFCFW2Wbff2yy64A8CRAOABCAZpcJWy1AkKr3MvDOlYwCySK/kZroyM49zbG3zadQ6IA4qHjc5RJ+hbKHpWLNMZWNq2qaS0+j7I4rNR0MrCQDHKgec7FIYxlZrqXq3L5vl//M4xM4b0z6dlDDM3SC2cSrRSUnAIjg0SobWW5KOYYf2lo3slsGI9tfASzYU+mTQD6hKgDQeC0vMnpXP97/9/f7mxXKvjywtM79jT7lQkAJxTtxBhtI5moZLUu8EGSiciHdQ1Fqq9YYHM/RV//M4xL0Z+0byXhlNXv3yPde///9FNWG1Ha4zM7RxBrtvi7V54KrNAGUvPVAJ507wV5kTbMVHT1DJRWUqTyiNAiNgILCoGiDhRJymipf5StotO2Yyg1ECVjCZdvUkoXN6f+lC64QV8///4s4g//M4xLQXWSq+/sPGmA+qxugJOW3AgaZQ9qJhvtDxO9EAcSaKh6fRP8HpI1jL9gRSdgxM8qjiW8NhxBRRZGggEbGw6B8/kBA3FAyhY0D+xpVd5gaMyymMjNDUyZO/iGmc/zpDcQ7Gq7XZynTV//M4xLUVyWK6XnpEsBrbE51zjEhAXDxcuVkl3TpaYK0suq2S6cJt1lqqpyzKN16Z/rv/Vmuxdc/46WvnB+DYKIikTT0trgdPRi3WWWL/N7RzHrCpaXHE7NIq8hfZnuCAXyBVTKVQjbjaOT4M//M4xLwlwz6c/kjY+UAxNaIpQ4vs/DiWDmCRYXFUx6ml0nJY8sFbVI7n/RaXc4FysSTELnaLe/VJXNKUVSSlZTS8UZGKw2sQICfUpIGJIaI28mWYpMVmLRkYrkQAgGD6BUVgcRERwkEAZu35//M4xIQVCTayXEmGaAsbYLreaYKioNE9RmuaNXrWa6Iq8US7tx41Z5IsLVoHdX+nrZMqnIVJVIAM1vm/qhhETVbgJDyrICUkzCwNDgpHrptcHysVZPVceQSU6iWJ4XB0ixMMt4f8CJHPZFb///M4xI4VGPKg8kpGPHXL8IkcOk08q82kE2pInMRTy4MBuUQAorgrOw7HsFdp99WJEF5qOvgNOmNis613WVSxkIDHpjmia81UzK7uRMwEpny6HZMWAYRvF8mp/z1p18d8QbUspKfx39VDNgtf//M4xJgWibacAGPQzIvgoKWkAeVFYUn2jyOzWfZzaGx9KpWm79uG4AUobiEmEO4XrXd+NBkXTMo3B8GYvCaiqFnNlsYdVn21W0ReYYPDoFZNSllHeh3UtDeqtv9dLlHFsodBURfliZo3JVEO//M4xJwUWcasqksSslAeCQO7g8SiWirwgZXQ24DdhXGvYnxTxrLGckKfaknxd1raxvFrmCKPsz++CZG3FK7ZdM1v/pXU3+kX/dfrrF+1ebcjxxYDxFgusYf/qn/9wvPanterW1MxQtb0kFV+//M4xKkU0ZrONnpKWhKpDsJ9t0KhnCBsiKZcFmSqbcZhzH8T1kslaUJqHoegcY7hOAKgW8OSTC4ThrNx7lwegyBnKYyh3D1JYah8GHLDESgvEsXSYXTBmM1KTTZVzIYAnkuXzZZogtCTgg2K//M4xLQU6Zqll09AAI1ZMQARBaXiwyHIPJRYJqJSojop0htHGPUwc3M0HHeMGeN5Jn6XX9X/+YGhpZA6bm73X//22+/Y40gYGG8gGwbpFYXROBLkag0LUBRPznbnxClaBOq81IhnK9nFpQi7//M4xL8muvKAK5hoAW92uHlLUeLzdOzMKjjp95FVbelvuOiT9X0mgmSBQboMRCH76wYhfYLJFex4+Xk0Q64bG/YGxOIJbZ7tTESo8FfNLBczQVl4xrnUjTJWS/nbHeJVOq4txvF3it0e73Or//M4xIMmYlaYy494AOnGFafclrVi5zCzj/xp4sW6Ey52V9Sa/5f4ieoao51RHITeaY49tbFaiquuH7nHxiDmWbeNjMfrqhk8rapnnfnf9u1o81Pbv/t/u7DW2vs6/t2z/vHf9+29r2p+J2dE//M4xEgYQg7Fj88wAl47EEAcm5WC7ZUI/J/+kspF0ck4pSVl25lxopyRywXsG+PYimB1XwofsafJbKsR4trG8ZOOwq0emvUYldZP6xw2MuM1WYqhTOWP46srg4SEQw4ocrXNoXb/N6PUuJKv//M4xEYWceLOVmDE9gqoLBZHnFX/91ix1obUmjMsYfc6kAAUcnAQUIwIYEQwh0TSKM/n6hKsLJIhGLs2Wx6A+/3nOg1Y7w846mb/9toucfy62OCkiyM2RUVS8fPvYsl4JkRzsdf73hXyykn///M4xEsVUWqlrEvMKYmgrmfxdjyKFzbqjTckabktH5hR7HLzuR7HBWuLV3FL2CsMIzGnpo3i0N1KnjdVTUnEp1RBBjzE5P/e2Yw1hJHG2Vn26fpp0iNHB4w+DRp6BKgmZ3Pi0WV/mU3eNW9C//M4xFQVEfbFHjDLKqoAnw5okgKJ4qOg+ZZNS03bSuiwGRagmMkuUjTk+0xhaZA07Ijyld27SMocQzJOJM699J1OpjBxJDZEVn//+TLVnR4IP4s9b6VCwGrS81LLkwo5jSEMHRH4/1I8isxL//M4xF4U+faMRGGEsCeHtDW/lV4wTD7ry0y7paCrIW5OzhRIMiNt9jygUyqCyUhEXQVn0zOzljENAfDQqTOkW9MSDZwq46ON1AJ6vPVf6f/+lU05NI7LbQea0BSYuc0ywsQgFmgdpJqjGa2h//M4xGkToVaAKnsGGN0t2ZWz4tpJZkp+LZ3YKfRUJ/dqmMJlUpg7tOsmRs4QZUNsLCxQYqJEb/by1bwiKoeNhxqKxyTLlMa+tSBImTaA4VrzYeTj2oksY5SwVjanI28sbqBB+27gnvAw6lPB//M4xHkVYaadHjIElGy03HzYnPXpMV1ys5mRRDSv27XZuhn/tTrocwxR4kIU4Tb7tuhG46NYgdK1XMpUgRSjUIegZEkNmwhWV592iEXBvMS5Ylyy5RekJqhPR/z93iLTT93hEqeNXUE8gRJs//M4xIIUefqA9GDE2BMUIE0cUCRx5Fk856hLAUVIdqpGIg2Ptvb9299K8OVDU3XOEZkBUSqx03bntiFasZUsKQiTIWCfNRx+OlO6VTTg2yktOOZf0gOrhid5UNYe6dTzU2P2dVZ/goISQVFS//M4xI8UaSJ4KnsGFKbSoI9ahdwwWvFHePpqY3o6v/UqEwBCyZXQTZtJF8xgS+j4c1wWFhU0cbzDTtqUX5Nb4WisNuHVhCWT8TFr6Pp822L/8jqgg6OFclRg0pXW+oDC9zk7oY51aiUQj9Qs//M4xJwUCWaEKnpEnEYVemrW7pTRBtnrm+8uSKoO1RWylCjD6WJMUzvW4aKOcMCnais6JodHM5hKuVUeW6UZDbGRT7e27r3q3csy2dWuR5H60f9n2SRAo6lLpIB6gTnE98SlKnF3bqYtShci//M4xKoUuWqA1HmGPMtt3/W8gEJCKRQukhQppCzSBUgRYrsDduyK1TvIPjOb3+KFL2Q9V+H38aUDoD4G56u3237FZ0riAiNR2Ejpgmt21R5e71YlBpr5IqTf2sOe9mdb2OXuPRNTQzSGQ+ma//M4xLYVKjaNlUYQAFrOZSzVqsXnK9eKt24cosgidjY5s4XKCWYwRRTWLIZ2eYxilM2rOUnafXrozAhMq7xM98z9IOZ/qd/rEv4WkmWRZqiVzCYWyz5k4qIb+8fG4Pmzfv6x1pw7dCxujmiE//M4xMAnAyqI9YlgAKLjbELMJ7Z8/2oToVEsSbnmMF66w9cS5KLfncImta/3FcY8GWP2+mb51ST49tePm8Ss+ppHON9OT67bBvfb+PiP9P9/ENieJ6BaTELx48OD95kviuosHNJ6Yprevv/G//M4xIMm8w6QyYl4AC0Rqmi7qyQYeNZzqLAzCjarJgiw9/4k/6ZUyMgMjFBiske1W2V6pFeqHzDCbSYmAIEbqsX2VwgExI0M3nWOTJVQu48axTFUzZg6g+CGRjRwfzc4YBmHCXC7dx1tJPUR//M4xEYhuuaRoc9YATj4Xi68kuVJR9dptLm8dfsuOpOxNQeU7uqTpz6hRiT3f1E1xLJuI5iImXOmPtsR91dRf7L2W17tqxpLS2XrLO7JIiJ0NWBESEkzawkQMPgz4stobWjqZ7ItkC7KbJ/V//M4xB4bsk6ODEoG8ZO0jITixtEZ5QjiqiU8XAVdAis+atmhOhcW+uzAwg7A2k4ZOG6tBtDl6wYcK0DrMtDaGSCnDbRfQoxUJ+AMv4m8OC5ucU4zPD1Un+1/6w/v8XNInXGX6cgQ+hbAhQaJ//M4xA4Ykg6eVmJGNIMdP2hhOm3zbjF3CqZFUA1OhXIIz5B12fH+MW7DiBACCE3LJyMMsoJYpyoZxVv5f0YijKpQphdnPI/586CKAn1WBiGKWEECIq/MUKDag2aN7Om0uhUuWKQshS3i294D//M4xAoVKSaWVEmGULZcNDZMUIJwacTmnTOQf4PvXDOpqlBPL+QNTScZzDDkMwok/MzNhAwJGXllELBYladtc9hIGXMYRsFj470E2VPKI/NXrJHtr7+ncv++9BUSiAD41EiQYSvqOo6sML00//M4xBQVKTqZnkmGFO8RS2WsOMJ2lJBZJISVt7PjPqCENefzbIIPYKGBEXApoFT4qbGkm7VmWPqYlp84kRpbcLAALCQyHTBwIcxyN2hdZ560WVsBDegLpNniTslnbDjbac2y3aqI4XSGy+p7//M4xB4UuPaRlDCNIAMStVbtbgMiRpI+F3D4bFXgVwoLhJEWuIOQLlJIews6gyFzZdC+2RtyK0c6GcgpoUajvrqeSbkkbJe14RqmqUcsp91VtAjUD7BxDaF0geQpUEWw2JKY5kZnQZ8bdFc3//M4xCoVETKaVEmGqAjRun6mZkquCAYQGAA1NnjAoSVVS+ipLiawWFxKrF4YXjpP0/MwORTr+mqzaS62S3W24BBAgrKUIPoWlvyNwDIbpjzdKIeNkMZ+sAHgtUOcQOpBIBBjyDiDRCtBRpwB//M4xDQUwP7WXjBG6pExtIk49A2xuND6gGH2ue5RAycXWAGJ0e408d39UmlJRC/CtbAGRCXtjTQSjMuisdRZn/qd1H5lkCQ8D5tkTkDDIqjDMImPqXlScWFDvpSOYEnoag6fOzyxZx0HmP5a//M4xEAUqU6WNDBLBMFK06qD4aUfedpoWsBEA0ZuKUUMWFaYEIaXTJIQeYRkeEt7+U71m1vTfX1kLv6KKscgD8KCAkqMGPJXbz7whdhyFwjl9XRcu89F1bNgR61hIHBgQn7YsyhCETX8QtES//M4xEwT2c6AADDFZDZf/SpayrBlfgUMpAwuCOQa0o2rsEIRwsecKhxmwRIELIj0DZNaZ5hTjE1hGqJKlVmlwIpJ8VqfpsHPDxIa45i6xDF7cipxGHZEOiCVpWx5Z4OmFVCy/TrqJwrQ5bgL//M4xFsVEPaNlDDMzDaBTiCjttqx1F+xkk8KqZqoWm+b/2q2bsUyQi5seZRswiidU9srGqu7dOhznNroiEdeK60rFp5oGm0Yx1czR0ugs7Tvy1LqF5bgrvkHg+KBOXeYi9tVfWV18TK5+plT//M4xGUTIS6JlDJMoKwCr0EiJvd6qCoPVpCpTcluOcTCjAm54cHnA85jwcJvsNS0WULsMCrFPFbKtFhxAWJMTPzx54q1fY9Po9WCJC2nurD/7FJAqwwzyWQOomiyCM16hKTU+i0h0shasBTw//M4xHcVOO6FlEjMyDEkvOSdpRwCY/SVtTPzoES396CuJ0i6muA3E7OtOU59U9Z3F+2SPfu9izX8cs82//f/f+f//t9/tVbv3fr6VRO6QEWiC9IoQyclBSMS3HV2sZmhPEay3uyNyezUEKTb//M4xIEYEP5sKnpMPU9KtMJHGlk3SwIRQckRsdktGU3QJ49wWbVYzs7+PN7L+Nr9ePCeZrfxl7neWstvLe/n/jW//dv57bXffbR0TzvBnr2jr4YzQxcOx2qyWnlYP4S8qXYQlxUCHjoE477i//M4xH8c8lpky08wAadBZFSkxBbeUEFFklEgxCsgaUCkUoaaZgxKbmnRqHvRMELgn9e+9YeySRkYudRz/R9Kaib3HowrL3bczlx2xZ/1iniYjQZJ1l68jvaSZXWvTP+M95Nt7a3puZroz3cn//M4xGonAt6MAZh4AJiuf8////v/Bva0mvTe/Svvnxa63X////Gv8/5vner7zJFgZCAGeISoRAx4NJ/4k/4lIW6OdkkvMc0xWuwubPI51E2AhyYPxFFRNlJiy6npnTdihj0wWxlRwihDwAEF//M4xC0gAk6QD9iAAdQMoSCZZGbPoFQ1UqyedNS66lHHTNEnSRXSZ2UipNFzFSKbVrabKqR1UNdSSW7utloKrVRZkW60v/9SVM6zbjspdlPBSYn5vb/nqrtzVT+aG+IX4AIqR2gDVm/kni3+//M4xAwXqcKk/sPGzKhZAg921XZ+lhJKj0jHkWO1JmjN9sdNYjBnM0OCnB6SbzqC2YESmaObiiPQ8u+i2ISPAua92Oex3n+X2fPzmaI4oIXy5cSGRShyEFIqLpHlWHNagASGnLQBH9LGstZo//M4xAwWmaKtfnsFRDQUOpMrLjY7DaASR44YDfm9WK1+/ZWGsJlkZlGbA0S8NwhBZow/zruXDBZX4po3YcA8LZYJ6uJg47ZyMv//TQlCSEIQYoVcK/k5j8k/bdWSAGu2gByYi+DafLhZXRlR//M4xBAY6aq1XmPRgGrH4jK4jLGEU4se6Yrbe7vV9zlDDZjhOHEESqbgWBqvO1jNyuxQwLi+zjUNl92isV6JS6ohucB5EeT6gINt3TfSYjs4VEwlBwwaPMAez6bfxRMpYvWDBXIMLc2HIT9q//M4xAsUYWLNdmGE0jxzT77q7WtJutoIGeCE6Yre14xh6PttuWo840FNBDDlLKd//YMLCwoACYdHIpAjPxuAgEqks91PJOV3uzShVr2sv///MC6qjbbrkKObbBXNCIVXYwbh1nLV8VBJOGPh//M4xBgUMTrqPlpGUoWxAB5EPQ5h4b68X0pdAmQTESn3t6YSkRChjgGwBijz599pn6JXk7xEQLWk4opB51NVT79MhZ7ucgBIADEAH6TanDxLKIMo4nQa/KI7QVlEYATyj5c5/260vOMUFco7//M4xCYUEb699kvRQDqPwnxYVcpRnxaEI2oFG576+FrLX7vRrkfeIY+JI+logVnBWPhy3///46rX6JSRGFEujd4B7MSBLdKm9pHGBAjvD2NHfL/OrT2HJJa3POII0gMmaB/XI6JWXh99SbvT//M4xDQUOmrRlkoE1ramoD7soZEUiER7/////gwiIy2Vos2nJxf//4aVbbiSQpXaBaXqJZ2ZwRuPBM94xl/cLUSZHaCmJHO3gzHne7s1Pv+eWctFPBirRkqXzUq37tkRZSqrFpNpeVishWul//M4xEIVQnbSNnmEulnl03t9v///+j5CIiCDeNs/V+nEAJBIYJaK6yX6fImR7UW/w0L9MQbTLyOjrOxLOxrPlSuYKz2FHgoSqLI+CQbOWVHSK7O2sNFjwMA0oGhEHRLDn/6FjxzoRwxxwZlB//M4xEwU+PK9nmCM6KOC/ZdTAjhOIT16UVZIQoqh83s0ghBYjGjA6Gtzrv/+hnUQGRxCza/+///+1n1f/6V1vajEs0WEEZ1aSAM4Qn3xY6CMyDx6Z00dsyH/0e1BfWQ4R+W7ikKMDDRTBhKi//M4xFcVsz6wKkCHHLM/gLa7XK0gXFGYxm58iYdDg+d87I/iZrnywHNyM8AXOqLzfJ8v/5cvwzY6fvLYEUDriULTw6dTIi1IDrxu/0q6YvCcy9Ys0dOPkfV+zPLIorLfjN894ZpgsFl0zrij//M4xF8UMj7OXjBM+ItEokiaLXvIFYSHeoSMRRI0pN9MNg1wc87GFLLUA0HioLA48GUtItUHQ0r6w0HantEYKoYStch5ihsneHRYiGjzfU7+glF6USAURkQvwB0OtDlBuGYn2ORlgpw8CMpB//M4xG0VIPLCXhmGGKb0OmQMk4iBTOlwGWDEklUhXXMmxvDHi0yZUkV1oeBwSXb1hphYNB1pcNIBUaWsN1Ta1xR9xJY139GjdVTVIAxjwMPayfjiQIQd8W90f5cy3ibibkLW2B44KZHW0qNO//M4xHcVSQ6ZvDJGpO8+NQIJlqRfLwW8zhDGSjI8mbHktJJB0z7Keb/ohe5ogAWk0I0jNo/+pziwMDAAAENtZ32sqj09tMiRb//UwC6ZpzYC27EoUTt4Dx+GMvCekJiLE5QF0qfGbc5pP7wt//M4xIAXubqQ7HjFSGNvH0ZxV0bDHAV2z/PJEnQn09OiC6nkY78VxUB2Ac7XkMbS0pfWCIzZaZnE3Laix+IJ8ySBytQYujfGc5Qth9ogw2wjYqSmraKHlY1jvFZqoY2h5wavv17WIhuqBwMk//M4xIAfMcqk/nsTZIId8E+ZHhMgBtRrkgaFHRWACaUeLTXbH2R27gVTLaFZJGTy4ralNtdyNFVhrXm/i8proVXGis6lDy2uBTUwFCkqIMDTw1Z7hQk+pTXeriza7fT/JXb60VTcfTW0Byy0//M4xGIWIXKcTnsQbKeOQh99y7HdozhaWX3oEQogmWRG0Yj/UncpWMs4SehPESBBCu/oV/OKVo50Dn3P/8OBmw/BAEOvWB3ob0MGad4wfcm2j3P31QEy9hgEezYXRu0NELiD0DFlqKNHXcQj//M4xGgUCaLFtmGGbuuuFhGcFvt6yona7z+8RjoQ723RyWmKYt2RqPZ4yP7NIvYXUlo7jhFCzDGr/pt2cn7L/ZKVb1WP+8sELleWHALVIzCGOWUXot1C1sH1yoJHsXNh6P8diS/d0/DLRY6b//M4xHYVecKhjHmYtNc7GfLme3iI7u5cSxyrSLZjVkq6krNlNKziks6Qq7JF7haMZW6ztuVNkmJMR50G4j+51QCUrEbKPTJmoyzUIcZVD+AnjLdHUZmgEmXjYh6aNxrs3fhT8i2pMbSOBBT9//M4xH8UicKlqsMMaXT/5ni+62VanXaI5//uZldp0hhgoOWP/+OX///4TF2YGlIYSDcQByg+C+xRCBRzBo8OA8Gi+kIny8Ch8c//172ii4eGS1bjDJGJtuW7Rtp2wCiuqDiQWeSBEyRyebw5//M4xIsdMz6ppnjQmUtcybKOpQqMYhGLeeXZeO43UYSLlm1Y9KuNCCyMidl/vL8sz8NmcYGn8Zw8vqRZavbd6y0pfMdjlFeAkArhDy+MrmZ5KgG86zIOUvxpmmerMoKMyEmNAXJyHhs/2B7l//M4xHUlQ0bWXkBfilbc9hs0I6njJ2dVw7tjPZgaF3HXZP4Om/EVkq3JBxkmQZ7m3tCINOZBJZmBljNNjhKF5/o6h06KR/7Se5m7d3efPGEbxBmwkU6kCeMr2LRxLoDdZ/6v7+/tem5DqV0Z//M4xD8gUz6yWkiZcRUfqUcCRzKV0VYRylY/XNVXpj0nOymJo0MlIqInvJCGW9jewhsPGDh7e6lgTz2NQvgdvb5t963cYbVRqHgaMqkN+dWNt2W+xtqBDxOt7jxP4Tbjq8A6OMMw20lopH2J//M4xBwbgULSXEvZAogMlBJQuw5BYGYOAlJuoP+EsswFezA5m9zig+Dmg5ZDLbC+WmwyDwxkrkMD66bl8/xywCH0BgDEAsM3rYSS86rwmS2LK+yFF4iPWr57+YvkVhutlS6NzRwmZVqc5iBH//M4xA0Vmcq2TEmGTAViQJh8Rx+sRDHqkKM1TzFbHpY12K/BSfV/6AqShQw9JpfzKGvDZFfLr/YVjoZMEUcDnAytmwl9zaUPBMARZSNMjCq6C33pAaHq1s2eHZbbXJAC6rRwMEhAO2gkwKHV//M4xBUVQSryfkpGcgXpVpmEyKhCWZnNHjatTqtSaqU7KUPufDzG7xNmBMLCB5k2UYCQbA7QMLeCAAM4A7kLZ62aXi5pgsKHWHL8pQiga7axIgMGzNm4KuNug7xeWjRVBmuYikvTThDri4mZ//M4xB8VAd6xvHjM+EfjIaoR20ZjlOl8k/Lv7r8b+WGQZQzmIP5fSk3LmoFq0aAgUoHBRqRHygDrf//Q7yywZXeaaLdckkaITkDt59ieb+A7w4Vc0cx6q+KSISVGHO1+YdlSJawaiKryJ1F3//M4xCoSue7GXnrEonVaU7N26E6umT/9n1JuCeqhuZqoLZ/068Sa37ehqNP8M22nrtba2paBrGakrzjIyRA42akFWdOowlXd1N7IXa/SqxqmaiA3zC9BRNU7KazWen922DAAh1bov1JU9moj//M4xD4TSebeXnsEcupSulREO/8u8WrUtur6tSqyK67a2JuUAX80iEs8JWEENLN1UTEZzIoFYTKmuwvMpAMisLyfE842xWTN77L7dNGHLS86AA+EASKge9Ry4Q6oMvbSYEBlTtpQwYoMptSJ//M4xE8TMb7qXnhEzkXh1rALY46goEwMzRdo6yKA3jcYB60PVwn8EbZgCOmy+hxeevJ5NLdMuef8QbSJZHRjnU/9M0ZxLHPI5+nkffh5TpUjCOLjWRed7////uZRwAEtUWATEXAYSEsgoA2h//M4xGEUehLGfkvGZKiVUMHTRc/PsqIGJ2gMgOkwQxKwRzKxYcJ8smjJRaK4dkwKqMqeJyplOotK0WaiSp5F50v+xKS8yXWkVMqoWFn88NUCGAE6rDw4zqFJURNGo2qIQxsydZVyjtbAkoz6//M4xG4UYhKprApGHGnoWk5eNrG9ta2Sx49QfaUAYY4BaRDuj0a31Vm4/rWKS/3vpsczOZKLHxjExKKG1kkscmHUfrVAKydqJO2sWuup4Q7p7rhZkN9oeNpPBvFRuFPqZksZdwq5jc60McE9//M4xHsUoYqURDPMFDXKdHQnS2/XVs7blo5yCykSvLl9f+9ca9oQ39NlGoaFi5CXYKge6IXWCxhrTJQs1Q8cDRGTEus1VKCc08uqzQfLamWnWt63SzTFmRozBEQLGACyUyfqasHf38kN3MZR//M4xIcUwf6pvnmEjPvRtjGBSuZDkECMyMjY/1Y3qyPMc8hK3JRr5L15UsSEWQxXqoeC9VPiSODi9RC7cDiMUgwbhTxkSY5PyyJorzcUKngPMM4s4GMnRqq8AWB0DgejsHiYw4Dkg4W/wMCs//M4xJMjo0qURlhfOHQws2BBISDCBtNZG9t+gK7qodyl44qvUZ7DxklLv8o59znnqyF2reHNbYpewgjTPa3l0+Fb0YEQ8u6xDO+4PtcmOTKW1q0Blky47hJt7zfF21ZcpFauoD5sVU8pWsK4//M4xGMk60qIxEjfcD7XbkwGms5YWxujqp53afbX6aRDi4aZXBgVSVgtxpsTOfj9kKkS4r4QwdARZbFAp6KXTW3bW2yIEKVU4DyISY6adFMrQp2fo4kqElMHCDoBGcgqpmekRj9mXexgpJLM//M4xC4TsSrWXgsGErQzopiQs15I/ek6IgMOe0XvCb+NdYZ6Uf87fDv//xZYbowAZJ6keyI2WwoBCDlCBHMjNqYQCR2LNwmTxPNtM85ALCDCByD8gjD//P2tpByenkwbIYfCw0+NW+fLnAQ4//M4xD4XCPqmVEjMpJ3k2EA+wPlHKsPketP6mMonxJqUhgbyRvaEkuIh11UGEkjLjZp2TVJ1ORe76v8u9yGBJsoJFPsgFkUTJojI/0NNMQkXg0lGsVla57bAdqy6JpQkRNCiYpBVilPE/A5h//M4xEAhMc6VEMJe0MxwIa5krFjYWAbiHGUWxZhGWq3TFHVC2wk/YGdOD0kJS5uJ06GidczquaMiG9qiLTiyL7xjV8TYFn/0u/99gqv/3/bIodZ7W3XSkg97zU66n8dda6/2NcDdFZHMKFYq//M4xBoX0bbNtnmS1lcPGOZFUhbJ9zdtleWf7OtqEolRTBaQCBT3OTExgOlGl2D0ES9qN7qvTRhwdQH0qjjc4rzW+zewBwnT//2ZhSf/p9biutUaMAxiiu9j0GfTBh3kJ6hDjCOZG/6dodzW//M4xBkVCbakRHjSzeHiY9ozdTgYtmfySUEZQSvIAXIGwsfdRM+Sy0F4szjGHyt5V/WFDBeJnWY5cpeevhqWgpFBlc124Xk+qtACgxmYma3h8J8qKsJMKeYi0B8cJ+/8vMZlurA2/+5f/gY6//M4xCMUYaqpgHsMfZCdqJJYlmYlwLDMkrycXAGMYsgEbuO2MZcpFQuMT3DBaM+qujnzHr9Gp0f6apmqQIRBxsqXesB+MsKEFAcltQGcMaTql5u0jn/0fTKn5o7jBoMlvisGBiYs42YiKYmK//M4xDATEVKhYHsQ7e8qqeovqGaizcoFImJNsnjmiusylXcL/+UXT/UqIA8kgoCLMdA4Fai5WP+uwEyhggCu9QnubmvifJcacFA1yxpgbFlAaLrFmuhVw8zJckLPCtC+tjnXQzZIiBxy5y1L//M4xEIU6LakThMMEGqJoQZW86eVQhz247bdOCwXfQBmUFqN0fzQqUlYVB+/EHhPcCURydqSks8/Xm1IpJlPSPCHxdrxY0LISynBgoL5dah8QNIpOpJsmD5pRUQGDjQHt0LSZEXPkz4qFyDe//M4xE0VSLKllmGEWKd+XfUkEhoIKhGxXIQTGF6RaMDT71l15ZWawZBU9ITtR0rGiWyxxa9bUDMqiUiiK4wh0iXu/YoMsjI+hm+jplIShCigcWVF0IhsRBEwhWYPC+3uxE/1P/6JH+dTiRSu//M4xFYUuN6UKmYeLKVtu2wc5Qh0MPn9T8uZHcm0jFLnSXa22ky3Xm0yq2CETvUSXKyFd2cBFEWYGdw4tWD9HR9E+voteRsxKCHfqfLoWGp3XL/a9Vej6rKrdKrQRlk5IKAK1BsdyBisgS51//M4xGIUSaLWPjsEPpxXxY3gR8fpXBgJREXE328URUChMzaNwG3UFBRYgB3qA4WsqHydC9t1zupvUcbGnaJSqzzaqinvP3//rGoZ9RCAACXAA81FLE0PxoAarA/LMhSM60yMaHkIQEu39Jq0//M4xG8UAc7BnljWun9nTw/CeqM43y7Z3l1mNGEYkBBmy3/MOjcTAaaizQCQoaDiRYfBA4pwn2lwyFuj+7T/VYACBC+/8AUZWnvYJhG+9lrms1dehNayXx/j4S7ShV6xUJRaORCSigLibast//M4xH4UaXadVnhHKLg9xQ7IJ+/m/r0bT+5p/mFlGkeqk2K0IodHg4bQcUpAUa2r6+f/m7S7QYdED4xF147/sbVI6ncil24u4VoX4TOnnq79eQ2XvsxMobE3U9d/rv17LavVAdHMR1K9Q9dw//M4xIsXsf62NmPRIM7hj3U3KmVOejIRC2JEKcUv//n9dhShg4JGKJHWjoEwINggxWw56zqevPzL/r/9uNXgmAHg4AE4hHyRSkRbHdn7L4qwDQfrHR51sqvuc06yWJwfbjmHigvip65ZzbDm//M4xIsXIb7ePmDTTiTlhlsqkZ/r9LX6Wxpl//zOGGVgFOjGdlGOiTi/DTkSIhLmBhYg+8S2Rf/1ScicuwSozRRPpKJ4BcwoG4CR783HYj9xuV3zskkHVtM29KzjmSmZeZnO1b0v2rEZl89Z//M4xI0V4h61lmDNUeq//CTZLUNTJYa3KXJi6uYYUBQV/J/9MiXIXMaaRHX7lhRKUkqAK/nf8CWzyVrZWEmk1j8VrXWFExDn36wXkL5iJWQt2So0YFDhU5s7WRy0czyujalcrZlntQxv/3yi//M4xJQV6gLFnjBHooGjRRxMaaFjohBYCipEVRtftv7Pn9u7ufoqAJZAplvr//fAjPWyQnjGmVMZxzlIgaMGU8eawTh1j4bDeTzA+HkgCaSSQbhiPZNJpBkgeCWTXLGA1nWPoGxoHSH4bXd3//M4xJsVUaqqP08oAFjsV3xgimloSa1zztYxnd5YbKsEAXlVjaud3foDcemjhoxxJH7fOuam3x/8x2mf2fygcpMxJSSdNQNzYpOO+P///33F9dvjl8WecSaNzx1JjahI8r///rokNWBtTibG//M4xKQnIyaVlY9YAKLlgogfqShYi3iFEKz8L2RVA1EjIrUR4r1XNPsKBiOawsMqmIXyQjRF8f4Th1CWDYlaWDCJv0yy0TJPJ6E4V0q/HbsWQ3iQZo2UIjhwRIFG1g6aNRQM7z0DhTJW0jhv//M4xGYkApqeH8lgAFcj59SpesP5IWL8/1lPp1Jc2dmdmaT2f1qfT6ZTn/cPz5MmOo8gUQIzi9vZ8lNstu4fZa6j2BqD6ORPgELBncrgTF7JwS1//t7wSVzMnlh8wYPL0SHA+g1emZkywM////M4xDUca0K+PnsGWIo55/DjNttLOMWqQV2wKA4q3z7nD+w4ZFyZeVVVLZXz8/vfL/2zkhrwj/aWk9Kln0z//Mi7dzjO4vXGxb1RlCfwFKRWaQY45VU35C4S3mZiEP03bqYEiTkb0ETBMGW1//M4xCIbCd62/sGFJCtTtyiNfspk+VqgTqIgXry+k04TGkSF5pY3dfF9vxVpvn0Y/cnMT1LQOBu/1FmegAd1BABGqEJE8TvUe3aPzqltu61s9zzIu2MHqiGEM4Cbqc1gz3hsqBi7wS2HFAVY//M4xBQZOgK23sPKyO5jxazqQ3fYQJpqf+atNdMksWKtono2nCjddwBKCQ/hAzooi3L5fToHk1LW5flqUed4RZ0cIlagsd1QejV0iJCIRh5ja3//b+9i7WioiOBASRCSIgAJJnL6h7/ZGSvd//M4xA4V4w66/nrKzQnatnK7+og5WQnJFD1JTy8bFvaZAm+woCDNh0Sn88RO9wruMbq+q+g7q3Z909dYYLJUz6iKcva2pW0MXq3//9H/////0+zYw22lApCANxhyBD/WC6iiiMjinFFejYME//M4xBUUIlayPnhHcPHGcCzmr6tahm/hXxbEqQVzjqK/CtUVZUVr4mV33TNs36L+mfrxf/4n7//M//3//WSbuOJyAY/Z//falfSjcxF6pGhLmJWLAV14umob7RTnysV1XtbrF4LqBXEPZOEO//M4xCMV4zKkAHhNOVFFSb/8////n84g5jO/r////+2y/vkFl/VXtvvcmnd68f+z9yHSr/W//yIyHzfgg0LWYjD1k9ect22FEkE9YSVLjZX+Tif69RF9iCfWaXjfjha4d2LVbqQ8Pfa+Ud7S//M4xCoUU0L6XkCNXmrf//tT/u/b////pyBABmIHetKtqr/VmnMRu501q6oMBw4Gki6mRpWzW+2TS2vmFlg/IHhYCTaO2oToRi5RXuEvesa3rBZcpm/KH81F09//M9TnGg5I54mdXtzzKAzi//M4xDcUATLuXEjQ5qbIIQCYosQFPVIs931ewUPNGd///pES2gKO3aySxyPKPd0+U7AoxWAGaJP4BnGNBZZZtX7PGoxVc9befz2fbRy+nTN6hg0R67ZWVjNP17dDuAZYtfMuqxW4R6J46j2T//M4xEYTmWrmXH4Gbp7P/////kpZChQpNQRtFdq15PeT2pIyEOUms/19yp6Rg5VFDallB+0sj4j3s9olrZ1Wgl3jcShqTKFa6CilPfNb5v6U1uhtFmFA2BFMnXfyXdIjXWs3de9ezf3jqpZ3//M4xFYU0dqcIsGEtBxyOSuUGlgclxN9/RoDf/WFq0Bn82DQqv39mrjXuHpMCafp4UETUR9EQsslHH1pnxcDy5QBYdkBxU0gH1ExLMaC5MiYXPP/G/trRNnkyOWVWRXIVRZUSYkArvCIZ7xB//M4xGEVSOrJvisGOtEe7WMpLvWNmo8dxf3ZvcO1zg95EpZGbmRvN9/UEAckCKJnkyZ9rKQhj11z/vMbtEe77R///u+7uD1uTpByYDXAf//+5n/hRYLiqDF5Ee6oRgVjvqF8pHkXn8QDk5Zb//M4xGoUodasXnjMzObJ9RGmivzuLStZuBd6aOHqCbuajFotTjkPBQAHLFjKGTMLLFmGT5B9fXz8Xw1ZNUowebE847f/1//+5cAUKwCPG99Y5VXHXQaa1AXA676FgNNnenFTUC+5dbOVtH3c//M4xHYUocagzHsQaJUiRI0xh0pHajd5uURKhg6AQfBBMgg1R8Pi6q5iku/+tWeqO49li0HC5JzP///9n6kRjVTLCUU1AWEf460330JSLPUxvMmbkW2Uye+7JKANR2Hx3HCaOg0MF7TVVyZD//M4xIIU8c6llU8oABcfULZZxSU3RySDyhPdoUukgcpiBIJZuZjSLB0MD6Olx21yYTGFijlB2GKSQ7Ddp6t51JdjGXnGSgooSFh7H+sri1bc6O3MmLqY6+4dTDiY77N1mH6NJfw6P///dDe6//M4xI0nKxKU9ZhYAOq6/ew3bD6hNXAgDf///KJStK7/ngRBz0BuUeXNvbBaVOJY0DENJlVbaixvnq9uxUkRHp4jWTWYRaYUQoTyRzO5BTKNypeJOTKFZuOojUk8sPjcYNnBQMgKhU8ORrKG//M4xE8m+v6dlY9IAO6giGBgkFCaCfXYlQqIux4Tyk55FHgreuT7P/+8WalJOlcFNrpXGUnyUQNqMfIqXOLUVJIrVj9jvuUprMZe3KP2X9z1bBwZF2D///8n03uHIBx1ZSAxT80eGqU6PVrJ//M4xBIZCWawy4xAAEA/H9i31NxNp/zN1E/LPF9RQoRqq9u+PRQVhGH4gDBFVkqKhF74xo3PnwOwaGj9Z19iGoFDIReUeFC1uliSjRwwwhE+EAEUHULVA/pQCf/T/w2qw5ZhadKZ+u0ipCjN//M4xAwYEt68AY84AFbDESqGKM9ZTK9O7LRLpHCB0fHBu8cEwVB4KBcRKmiSNh8dOsGRxb5jOZX//nMTPZ3r1MX9fRi5YWjxprSVURLpWn/46hJbaJWecfdl80pF/8Fv+mrWzS6WF222gZnh//M4xAoWscLqX89AAhIjxpGK8kvoFaDrfFWJNnZ8oqNhcI2brj8uugnXcq9xbyBWuF5L/Zex8vpG8XIcG1osrEaV9d+3/xfD3pNshZQta8Ajmf1L0WySajpz9FEsPogABISH6Tg1u4doGtAN//M4xA4VwSquVmPMTIo6kDSZlINlK6uuXW+FKfaxpnHat8yzznzC6k1AnJQyyKO//7KPcjjVKMFFuLNKzNl9gseqUeRrhvS+ZHCB7qimKXF8kmu7R+qVXowisPfGJDUqH4B7Dnlntq9jf//1//M4xBYUepacAFiQ/INDBXEOh6ez1q2v//2X/0Tassj7frplVteoqPanEIsPjBc8syzBAMJWSKPfHU4SGvIDgvWI2uk/QF2Dm6jEZ/qroxscfcQiQ9OPFEEASU4eBXpxvAykMH6d3ud6Tuvf//M4xCMU4o6+XEBHqFe4+peEHKo9ue5TrI3mdO0jeJpg++Uzs6p////r8jllSkRsAkcoaEl9NBP1WiuRcUVmLfEyVEItGhy88STE4KQ3QCaYkztOLNd7j1L5+1rbfnkyhhB0hyaJQggRgg1G//M4xC4UEcagQGIG7HuRoaFi+nnCzN3rw8WO4H083POudOzHMXxQrIA11X/AzOTVwATMBBKApqTlA2YIbzUZqRkB44DR6s2VzDTmwxaS7l3zz83NeIRsuzAqCTaX7++JiD4bK0tVGaXlOKgs//M4xDwU8X6prkmQ0Jzkjjp0kPCoaJDv/8VAJ4GhwZF2Xf0frZNi1EmlJIBtCDImh2XDThYZfLRPTs/XR2ruGKqkUFGBl6Svhg9u4nU+FphnjaSkx09f42R5DFUNES/VjKuoidkq609mt+qV//M4xEcUmja9vkjK9uw+EekYlI1T/o/9Ci5mojJMBLY9lqMxCWg9CYsc4bRRqUuN6xCbnMycVuIVnlF2sjuqGVjeCsUy6s7DG5n08xqCgWEzUuxaxUdfc1Y0s9LnIqQrUWFo1ztwLWjCr7Ax//M4xFMUuV6cfnmEkE6WW3W5QIJehQMEkUzpDEMKMjh0LLwbh5KLA3uf6IEREh5mHFnlTqBESJAiISfm//MnlIhY5RAnUPRcHhQwJ4XhhMwL/VKHFzjURUdVvW/sfVkmhFW8yVFqMrrHDz6D//M4xF8VEV6YfjmGFJpg8L4lg3NJ6RvHkTsjATpG0QF8kkjP7BRUExW0SZKC+5hd8CM0gXbbKOnyM2gQMTUY1R05IHT1dsgJIittRgoKMIyd9Nb4RRXFFG7XhUfCg8iA0TTAmUqeZs/YxqBp//M4xGkT+cagAGBSzFXCNFi2A4jSksnkEEwNoC4gElFEYHnYTeoeuirB2NEEy4ejiEevCbf3eDW1P9XcmxqrMFlWFtS5VYTEO4Arf8N2sa8hY1Fk+muRKrWJiYkBM9TL8krm8hzUSFNGECcQ//M4xHgUScKoAFsTJQqqTDgssOon8UsMfkX/jWCSUSCpLBlohIxXKpXsb91+lHqeAtYXWc/v/+TVwAJWXcJRuUqgbUKH+j21yTh+s79VQJN5oszQ6y61m9bMTPKyskdhZM2n/a81yCAA0l5c//M4xIUUUTK2NkmHIBho6kLXpvHdYfitTLkNcs/2+twii/2MZTPPCKDHWTQ7/8Xv8127S8yNUfLI7n+5veKnN1d/elPjcaWpEoOPSdGaSIoSqoEBSObUSq/tn8gpGQp0LXhmXEAxJbT3IY/M//M4xJIdyz6dVnjNWUSBAJoEKBEcUWrInhMUBwViVrtxmnG41KK78Tg65Uyz7Jm7nC/20SuFwjnSAw5ggyWiPdktRZoIkcfrigalb+WG02UjM8ivncsNFyI3Bip3qUdk9704nWavfqHi7rv+//M4xHke4l6Y3sJGufw+igIAidlGdWmQ/KDG0gyTjY0TZkusyWqf4NV7C404zLsO0kP4e4SkCzpfW9jgYfjap68BEcOGxc7DiHVzD+tWSrXNZitVeP9JK5bpMFJxuPdt89Nu6W5tMNZ0v2jj//M4xFwhwr6JbssG/RQ7qskO0pfpnCWA0hmu5cirCP8uZ3aUkuZF/S7f9SIF6L2GZNS8SPs05poAQDAFIxcxgi6NJbNGEl05mIrliAfWHZ9lDnMc5DmiKWRup8XRcX7aNZo/+NqdnfyIYc6v//M4xDQh6eKOJsPYmC3gwydqYng9CsUC7Ot5Dbs7X61ud5+NDa3lcb5ulilG37tr47wdtu2bMEg0POHM6EaM7CwlHjZPhb++RBbol3upJvVSdlRGxrPFR7hR4sXhRS1rTUQJIyQYEgA+vlG+//M4xAsXSe62VnpM0Kd9b4Ox8rqCPmKhSLOcy7c/HJsIv0vV/fCEv4S+IZEQqSeh0ZCxg8AH8sj+Yjr7GY2POZ/jz2f665MITt7WRFo20kRhAuCa43WI6A0xACYWt/Qq44hCgA/yu3uWNDL3//M4xAwWKf607noM3Gp/EgN72souISJakCWCFW46HWs+9xdLDjMZby6GuFw+BqLmmsrcdq8yt/817V8/tOVXQrOz/vP9TtAuKkqYdDQcEJheHBK09RawXXAlERIv0qS7QUG8Cc3WiakSRcHW//M4xBIU6frGNgPQBieGhiDmKfODSQPfZqJWobi00e1rmrcRVr579fm06njqO+5sap41RS0Zp0j/+veuGqLbZh6iURfu//DW/35XUGpUYqRWpaJSQYpy6u4B6gg0HdIv5VNHo5BRS/NbimHs//M4xB0U8fa1lnmGjiLMECf+FrAdSAIKBoSlSPI28zh61hc6vCDG/efe7N0jZwXSEzO1Rp6QkYEw+r6C3V6P/dZ7lEaABRQuABTXjmAXuopotiPc1QGqVHAVJ5oPKh6BQnT6qcBkQUFL88kD//M4xCgUifaddnsGaCyeWQUmCl5nd6FQGUM1L8jt+GVAQpKFVetavn3y/50hTBwhlTKzJrzPDFVgDH4/gBJ2rSa1KJAE/DCruYld1Dfv492wQmYESAx5hDCGHnsQRu7T4YE9+tMa8aYFykuP//M4xDQVMOacTDPMICo3+D5Q5yH+XSfqU8+JyB/XUEQuIChdQDHKCJ8QGKgiaZZIroW7pLfh1qTVckPPnJtWNVCikIOSjTRD8j8KfmcxQwqY6t+ViS3bVkmiiye6X+vp+b6P3v02bDDkCej0//M4xD4Umf6+XkiNGF9VhprlwOEInDLJd7C1TriOMTIdCvoAAZJYiphPO9U4t4ua2zmmjC7iTrekWPWeeEH/zD9MJ64OTr3KvWqCrmxjEEpn7Q/hf7ZmGOuEUFg6zeSLAH3JJM9BZ/6zhocq//M4xEoU2SalvnmGqFbBKd7eVv+islXgiAqXayYAM0YSBm8yDq60IpCaUJgkDHUqXAVI7sM9Mrys2iPxQBgsO2ZM30jK+7jbRAEggFyLigpWsDjCBo2gG05cukTGVqmKrtSDlugoVlRI5Esu//M4xFUVuLqxvmPYZLbSiRASLksblADc4QB7gaE5eVXqqQwNw4/OnqdV9tpFPN5cTSQ9KEODoF3fJ9cK9yZBGAfVTc8qoZhR1W3epv/X/hk5eetiAEGmBpt3WkPiAaXFdTwEGtvjyTa65Qan//M4xF0WYUrSXlvTBvsW0FusLqUxrH1jnUcOGqDfahGfsWlU7513nN2cfDQAigLizwNtwMhtsPg3y5j3POs5gFz+RQXASPKD6ASnINXTvrULpKkHcH5E8LmF1Jf/2WkyF7VO8jZI0dBcokoe//M4xGIYsdbFljJPSr5xMGpiVccDx9BF9IgxFU3cuquQrKgiXbYbqJTYlS5H3Sy/XpEejg0Kf/A2jKgaKCEAajDkdEKlsqMTT2looDrE5MkBACRNwuPQaJNCqO4Ve3+t29qbPZ/+suWeLJqN//M4xF4XIV66NnjS0oBRiIBLUBXVfk9Vcg9wX2+UJ12XjBOJR3AgmYy0fsWq0XH8jqvDNDbk+9iLg1ZgEQ6Cg5WqluAyMuBQcYES7PAIiAwmSEyT+IErD/+wn35T//Gjn4L+Ad64TU02RmAz//M4xGAVOV6uVnmGqEhtY5bU0xQ0wcTlBMrWpPF1uBjWLbe8ZVBP0o23rNjrGqBhTGFKRj+/G/72whK2fl/Pk/5zP3fX/X1/Cl2pC4TmidX0B5mLHKvrCuIYVjwOhfV1L5s6/iyjmXls/+hw//M4xGof4z6o9njZHWFW38mlV780heqd+2fzv025mTz98PUERNJJxQ8NYgRDAPZgMORA/DsgoFqDlItxWy6WWGCydH0MPUx2cipqoHMPFLXu3cR6WzJ1iL/+paF2jnZTz0/+uYG1Jw8c6bo7//M4xEkii0KVDEBZ4TehBF5r9yQmUiypnRzEotyxo2XQzNGCRCtCaiGIK1iqiVLhwj4yOzBatrLamCPpmI7NL3FBzEdENaTxAKpyOBYGqoEG26U1IAAcYkbg8DoOcDPSQ1cyVBUextHE5SbW//M4xB0WmXKlvjMEmIoMmb7zltwtp2ycZKwdsZg0hU2pkzJOorzXlsrv3W9nKiARpyrHEx4aFw6h3dQ5Eiv+IluEWv4K/tEpZ0NVgESIUtsmGkUSFgAy0l2qJ7TBCzkCMSLsGbagujiXn2OS//M4xCEW+c6lHhpGfB5gkQCAMUquk0fy8331ZKeXXy0u8BtDDOrBhTEWyGRZXMnQKHQjqgKQxSz20ns/VtemRn1b/p6qEruQmuhKAGfe3iayeS68QYNNS5RjCdp8OnoQMPC9FYRipaL4kncp//M4xCQVab6uPnmElNnEMBhgIFoLOHajzPsqs9qPmoYytqrfZt2dy3V3/dTvgwRBV1dleYSgf+i9bvd9P9NNkladVOW6WjFnw64XCTK6GfZuNTaeFkkgKqa/43Xmf9/Mw0QskWiULOeRqt5T//M4xC0UyPbGPnmGymYUyjl1Bl0UFbh6RaqlO5CnlIfE06IVBRSHJ/9/ewVnN8YenUb1qnEA7poAPdtMqVRD5rk7WaM3oH2Fj2jDm27Mynz8ZiasYdaviKgHfWSnO18jaZ5C2owoCIFLIiaM//M4xDgUEPKZXnoTJGOUcJoxPScC44ECZiqdpP5tzb/0xQbteiqAKCQACSNBPDWxOkIm0tv6mCj29CCFwT3s+244rDzesV/FRSEMhpKVIlxXtWxrFs3K/KR2RUrqimChgIZ2QZUS3//38XbK//M4xEYUqcKcvniNTKBEaLIA2RRFgkaej03+SQpJHJQGIQSdZlCgCO6lKEY9lKa+ZFEOPBaynV+19h7Etqt+1WtnwFLlMSg4IlB1rEMWHmA1+Pn0uUcqLFXRy6rUGPanfwLCU4+JpCBWnmiJ//M4xFIU8NK9nhvMEhYt0QEZyNOAAycXnOyhBl9DAnW8dWsKiFF8VZpPXa+69Y2vVzO0SUknoSc7SNjtz+W5NQ5Htllf//vH7ZmxAJDlGpk7ThA4cMjS7ttH8M5IytyTtSrRQACOQhO5c+9g//M4xF0Uibq1nmDNLiwnawxF8MFhOSFUiVZLgMHfM3thfrEBwEh2EwJTYFBYrltbQ3eZx336QIAIDbF/Vt1iGvn3pSxOMQx7Lt5H+nc1PfN3AK3McAoyRcDNWnGmZmchMAAa2RscagTkJEcP//M4xGkV4aqluGYRIS5HT3qM7J9QUtYm57Fad+oOJVWVJxM0yjV6IFgUErTuAuNGDTLkTRjM0O0ZAggaebZY9HGfP9fc89h3Z4oCBUn9/vKGkyF2Nu+rwGHHzgYsJnH6q6yV8mj7OW5DkiiZ//M4xHAVuarOPlvRJrBVeifqF3XVal7n3lTs2NaRHQpZBl7hRbKIStSvUQxSMyZf/70CMQwiLODf//KxUcWRHGQAR///ArC4unE0a5aBW4Zzkh89jOeZbliby33JTEjhjM1Ntbu+XfjCXUyH//M4xHgVKabaNnrEfs3bVVM7qHhQgCFQXZEd5iHGkIhc7y/+eVEQ9lbG3Q9HRtCEJ1//5Wayn8g5H7FylD8jIdHEHc4u/Ix5fDzoIOSHaGuqcbS67itwxjJoWep4pcMTN8w6BIEIuQGXxeKQ//M4xIIZkzrSNnlHHuvLqqEbcYdqvJVQnbLQAUKcM8jyFyMjPTvT9XQ36+9O+y2cYMVD9H4kLKKsFgOQTeM6epH4ieTq+6v5ZXdhdJHkx8SrvDSJhttReahE6EkaBqrqsZjoxvSeodT19eDR//M4xHoUkerSLnoEegWUBElYrexXejqSrUenLIZDb3pmzXQU5nzRDhYRLHlPots/1LFWAhkdVUKq6Q0SZJmHJVEhU45VYIoliYfbMhAiW50hvwb0cOJXu717iw6W0yhI0BAIjry2H0VkSk55//M4xIYVAebRlkjE7tP8G0ZgeVKc0PuBOoCTMKQGdIY4ZpIYw8NKcX48VY6AYQECoAadPIm2zNys6yhgtrJ9Aj6Cc30bRFEYDyQduK8lLX8MJGSNEBwlJT9T2tGFBf8Jz70Axy3gJkgjYzRA//M4xJET6aaYQGJGmWLiURRbAAzjg+wml/+ORt+SCgGAnNQMAgMFILglkmGXCCoaRLQNI7RcrRFo0RcxzKNortsK1YfDoWUw8LTpJd+NbrQfUrD7WdDIaAlhLf/nDNcE4NIIFghJzcWRDkJA//M4xKAUgc6ptkhHaIUA4IoCEgIFQBOoWLwbDJkPuse++irdSfr+8PX/tBS92rwrudrDjtbqaoZs8EhwOZWk9V78VT57+h5GOHats/9330CHABiIgZqiOBswo8Qf/YamX5kljZRr19ZaAp9C//M4xK0UWdqliDMG0T8MP8LZWF4edzBsRXZAmrQFu6cFOoDpsq5Zg6bhSTmZxoqOv+uaObtea4ZjWMPWM/WDTw0NEIag1toHLVXoKOYSPut2tU5lPsTRcpWEoCMBndgIqEqZUMkiuZEqZ7J+//M4xLoUecal9mCHaCtmRezHb45R1vqAgdkvS9D0MKYMMLWIRzn/+s/1kX/+7FiSCDgWD5Yy1yzG2pHVKChQgCZvfYlZRqEVObehgxUEhIPOH1oiujVVs2+siu/HRWvrxsvZODgsIm23rOKO//M4xMcVESbCNnmQUmKtv5B8+02frFjj0bz6NGagwLGmd7x/nb5UYADHAAiOh+eBDHGmHOQRe96a6AAZ+5SVrakQZXJAZ1A0UDCQWN/rvQrmkKEhaunMbBjb/XTo2RwpBuMVL1dynOp3NkkN//M4xNEUkaKltkjFCIDkjYb2BJsodIMaLFtZOE08ZDYzGj3ekwtB7i4vctM+pvv2WJqxYXUKEHAulM+a1SU+vROWsSHBcmpySXAACvHH+kX0MAN/7PydOam6ET3/gbClNFu9KUO/Ru0buVxW//M4xN0UIcKUymBNhFmzXm0nCFtYOLoEj57dXFU2+bvuOfm4mqiqSqIei0+C58g87XVrin4ZCpQWfWxv//6GkKaamAAtyCYgbeCkBpBHlB5EeOzhPLxwkFBto93RqDYk2net8aad49Ms61rC//M4xOsZmaqxlkpMnnoAFIiDz/ZrkM5SGsXP2YPrTkGqZmFvNZjoFaoHxcXHKW0nCAq4m1RFlbROEFrSdT5NGgo0XlRiKKiKhgrVjcjb9B79g1HUcV1iEN2ZaVwCkREEvPtO/i+62rrBjedF//M4xOMWMZ62NmGWzBtHAVVgwZOd1LqguNG+NtqJIBEsQFKAl0lJm9Gh5FzI42WXxjtI16Ze03ZfuVnKEHQXKoLOQBx3yf/0NQpSBgKjLQPbNiQ9p0ET/csPcy1HltK81VyONp+l2GpvmLGM//M4xOkaCaK1jjsMMkKIaiS7kKPZyQKTjDv+h8qjNDpE+3E2QG0CJzIJSDwcQELmgISYcdK58KZ/75l8nmB0mD7UUE0WgM09N9Uz3fzL2qx7v66b92AX9zW3za0XrrVTllwGWANQMke5oSEH//M4xN8XWk62NmDE/NCwMmelCCf6VGwflO0QdK1QQKo6NvnIfiK/ohxHHZobTtwwKZ+ewKc8+NFP+wUnPUpahFztt7kp/nq8MIuRkUMi6AwjAxyBBrQgNHfKdVWQmeXF2hfdtOCYlmb5wTxD//M4xOAcgtaeJmDNHSfEvJ53HyDm4oDmTMYowzSEkK+cc3ImlNEzirkkln8SCdSG80zp6GMqaP3dAxbkFa/M/7/lKUrQHR2Wql6+a1MxiqUMBPZRLCWWkirlrBKSdtWAyS68Wd8brJsZTHlN//M4xM0XSmKyVjDFUOR2WqGN7zxVkKo1IjdNClixItM3c/aEYj+sYn6bXKJCWBENSCG4bR1IHFZn3FuYoQC2l0OZGEgCA4qJHECrXChIcbDV82gcfeljCIlQhbo76fT2e31OShGkpI4k87tx//M4xM4XwtKljmDEtP8qRKxYZ7jivRTl4jw7F3uj1YrLv7q7Go+nN+xqbGNad3Y10TlGsJKwYY4RxpgAIh0kMuNbCcoZd3+07/+l2KjzIq1c/+fYjb6Mkd5OcMJgPGrGO0erpf+zgEMV0AmA//M4xM4ZqQapvsPElAlkwAv5FK8YFKpswG06WhrVhPjnMoGEdL3Yi/9nISUpKKlsRXMMQHKQ1Fy8mBaawN7NGa0vmdfkv0sAOXqA4gUSTmTt8v+T078787l6bOex93GEh2Ulgkm8TJYzovxy//M4xMYY2fLWXnmFRtRuBvpbsfuHGi065vx9amcEzBRRc7LwT8WSKkWtN5Wfw43FYLL0lZjQPAMPRylL/1LsAo8VlR/1K3R/q3/VlERoKnUliz2/xv1VMpYraZKnWgkHWj2OJqyaJiABhAKt//M4xMEZ8f6xnnmYyLZhRt+z7o6iIK1l1K+C1SatSDvpU5q3o5bG5czNGB0BGDMI+VbRF6Jw53E/7draKY9tHVFa1qiUSaAoCpcmD2RSKLLu1+l///12poWA4QXbLtR4J+1YPJcqgL6cwWSS//M4xLgUqcLZvkjK6v8NQz5yYWUAMPTh7sWPGc1gIBHPOfmhcF/vTjCMG3ec0TKuTn0/4Zct0IqcJ8tKe7u7OfX//+wjIhbTeFUpuwiyxAeUUWR8+RqfTqgwE1gxCgL2uL71yQOMlcbph05y//M4xMQUMd6eXmGEqCpCFLai1kWVFW6uJ8qQTAgCUA+MIlchgzEQcBI2XGmd+vBpJVVqZZhgrCZHEAgJFm6tUevdIlFDQx9KwE2tRFbBkt//abG1qs+CAPtzUYg1bJNjvcn1ERuMuWLd1fBp//M4xNIY+walvjDFPIircE01JAewLXP+B7H+9hi7jyQDwnE3vPWCD4XkcQY8j5WQItlOBC+nIdohzARQ80BwEkzWah4g70W/aCvRVxTRkfUtKS/qYMhPccAJ6VT38TSxd0d9YFIs7x8v8Clj//M4xM0ViW6dVEiHRI47YNIsXyqmPXCW3clKhZWwijxhMRc1WwR2kmXA/Rh3i1cX2X4hF3AK9pD8+Qb4wQYyhvr8xFEkU5RIOiAnFXf/SUNNVWf4Aoy0p4Ubd2wUiCUUA5RYYJUs0JpqIiLD//M4xNUXgXatlnjNSElCq5Q9p1TuXV6GYyqqq+pIj0ZqCvoGe2rvKJLbfXu2Y2nTM/KQxiiUCjyX11luvHfydv/Vs8schEsu+/C+1rTIrCHB8BuFuyNijDUDUKw8O7BcEajeP8zK+fgwHgYV//M4xNYX8a6x9mPQzGEaBTiDQvcMjsDgDi9FKhQRAyBHSB1SlAgIDAfvcLjwu8f+Jy58QZ9RwIe6/svL48XHvw+qyLCQwu2NhCsdnhUeQxOMH7FQJBERDucQewxfyEVlO1gpnRTLXa6/aWYs//M4xNUS+fbSPjDE7rbL/4/XfrReYgzDt0rGSxvcbrXkJEym8IIQwxebdL0K0xgRrFRMHCUMRWEqptXkRUIAVxsLB/SCw8+wZBoyUQoCoiXai3b16qoEUpu/TSaCFV4/LWsyyaUZZcqYaISA//M4xOgXiQayXnsGODojnBE9B0eA5d3cp21pWvYxZ9tVfKPna9CPFh+cKDc1sAa2iSpzm484U/v8ucO1lgE4ScWnBj7uNflvm//5pYRMjTwLAoTDYk2f////1aUAZ6Vzk/4GETB5JcEEUCtE//M4xOgcsdahnmDThKobBoG3TMIJ4/JX2/Kc2kIMPFgN02olFVYxmb3HKVi2d1Z3Z9ZmTN6SlRxSBe5A0VRFGm2YtMWeZFvkei5lu/r1DYAEywBVfBhLMV8QpAKvQfploeepOBN0evMHUTFU//M4xNQY+cKYqsMMmCplP/+fevA4tWK1hwqJJ8B+D1iGdiWftuUnA7tW/1FlRiM6EI0O+r4QQ0DI0h3gruCegM+FA2jhGIcIIA0IgV4btI0Ub6UibFoijL7QVnt6F6DsOQONLPXLIu4DxBGZ//M4xM8UwX62PkmEsFCoeRL8yN1ZVKCksARCuaJvDvQ4xI8VXxlI6TjhHVm1ZFvbNq4mBBazR86SllQosk4AxSkPDUs///8/IxB3qYNMXPpCAEqWcfWzKG2aDImVeHyVm4SmC6RqN3FYbaJR//M4xNsXuhKlVHsEtUpex2lS5nw2ATtYpfZKzipgiHRCZAMBXFxgtVlLVoiOM5xIjvR9/dO715XWdUTHhRoe9M4XB8oc+tb//0OlAHWGIpSx7W7KDJp9geOmBsAJEwtS6rsxFtedtwkgCwI///M4xNsX4U7aPmDe0rqiZWIl0MX8/18FBuOAun9avyux7/TF8ZvJM1tMppsSoYj6VzGc7BHalAwvPNqtZPvf/vh5VkLcKxWme4J9iJQfB1ngfDbCjr5/KlgP80TjWWE9jFTln+p6wWOFq6fi//M4xNoW2fquJHjKzFKVz6ZhNzfPE7Yn1PAcSdqJgZS4SrghByTK99hVpiKqAZGAOE5jAKiUTDBwiLUltEMIR18MZ6Uzl3pTcVE7FX11Tvpf1/xyW5QqH75oor2uvK/upn/pRmpBIogUZiG2//M4xN0l20bSVkie+rFkQh68n0s0onVoeorSgmjJyJKSJhWMfNT9jVoMMMxMIUpxp8PVJqT6yymL40ZG6gva9dwDRYXLBRNMCHEMhPe5RBB9VHrynf5mXvSNujyr3I6tlMrAZGRspKFBUBiO//M4xKQd2z7GfkCTqZP/+HU9goICFNkRJ/w9aTd2gamSxZQKtt8aHcSPOkmoEm3zw5/CctWJQ0qGJuWEKUE9dwi9rKteLRcm46iZkuWiCn6fZlPaMDpuk2njIEbBQo74qqAhRTB9LVkVyiDz//M4xIsVmdq50jBHJBW65TD1vuulpCpOT/cvShUWpr4M4HGp//tq//+7HG4CBGFLdjO8tyz2wE6pWVTBGRaqyk/cJMQSNuyMYDjeWdbv/vNxYCSAFt1WqNGYT+6EmTQjXypIXmigwpgsChJH//M4xJMUseqtrnpExL1zWGjjFfr/uv/6EYEEJj3k1PRlhbiy3qwC9saGCQyXad94zLXFkyH4LNghaPPZKCHeZpU1hUWKr9FLeZG1omyJqdNGqqQ4EzCpBItV3t/+i0s1EHGWopV/+j/tt/Qq//M4xJ8S+XaZgHoGrK2q45ZI3bbgdrtsIHeJwoSxqwsgSYyV4grP7DDO9cSO12ibcMUSqPvoGd4Xq1k6dEQ3dcvVtD0DiUSuw00jHSVJ06tAZaMPDvqtvrZd9C6OP7mAi6qV6jQwFZstgsvU//M4xLIUigKdjMGKrPlUgo3iUjK76bzUqrhGYWzvshJt/Zw6GV73l0RlsrSrYys19lp0ffu8G7IHFOpbSf2kRjhCYDYbUm7WlJk8UoNH78mBBMGzif+mqgXH90+Ah5h04uO0o2yEdSJZ0rXf//M4xL4VEWrSXnrEqgzdNtVxsmJDlvq1MljbsWU/jmgPQ6//f6XeFTcUUvBBLE4Pk+6PPuJjSGn3f/x4stVLdTLIRQTUIDMQfKPTc1PJoKdo8qNFqfNp6vdS2pfGc1/s/CyacGTX7tDBEfbJ//M4xMgVIcKIAMJEqLY1tnvSGE7YwEQvk1CANJBb2zvAUQRRyUaSQtM1eP/aPsL7ZI06lRAdICe5sk2hh9nSfsLsIjF188vcFnKNQQOqaoGxRBBDqQQQL+KxKcKk1sIKXsnvJQyWThPch6jL//M4xNITeXqUdDMGEDK88lWpyVUmhVKk0pHbCwKzVaEArQEjNrrmK4ITwHqe5Pfn+ySLBDE9u4x9pJtII6RBC8D8nbSYBAPHnMPKImiG76LCyew+ydJNzzghcVO9mmDR7ZFXfinPEurr/o1K//M4xOMjIz6IKnmSvGVEVHWG0AJSiQCpsYAiTILg9aEV1S50Vs8MNmSQ/G+xdN4vJa7Vh5ZaQFP3o3fn+yv0MGmSuB9reI9uzrYs3KPzlf5i/6/mpy3918UghqOFKJO2y4ZX/5JB5dOpttxt//M4xLUVWV6mVEmSfBJUmACxZG+uBx79j0y1a8oypJpQRkqrCJZNZ5PBZNKJhicU5SUb7bUdRSj5ZPXWbkLFmj5GmLEYZIxDUX1ggWcTW9R3aGQse7l/+LZ3rZVEuUdKYAMKLigXDIDy6Y4r//M4xL4WuXKyTkvYpE/0ezScyYxi+SqpU9O+L5N2QhsKnaKV6LbmqDPTRSKkCAfUto1Ps+l8Lq8PvuEFRToM4j1588HQU+eywNVCiT9LWmEq+2pZpVaBOpAhiwEM4T6wajnSfPCa9cvjF7TH//M4xMIUcc7eXkhNZroemGOcclDFSIqjisOu6YnvUmi7+RZTNKxqYk3zO6MVW29ZAxrirg5aLCYgMl3/01KGI8L9LPdOM1VRIA8DQBiVeONvcxG2VjVLI4L9Kp91Z4nI2ZLXZOq27m8Jy4tB//M4xM8VGe7ONkrG0lBNg63Z+BS99Kx0atl8DM7qTqmhG0/OHfUl1dzz//UtRLH1QFSoC6deKI/UMUwAgMSUrIpyw8yBofYKtURExQAQ6iRoJSeDE3CeaXWks7pbTS5LanKLGdv/2SdQETWO//M4xNkVKdbJlmCHTuQ5f7M+d1AVKnITDrcF4WmqeZcn1cpqOEbEHyOiguEVl2vH8X/SCP8dkt/v4wwf8AzzOpHHsAAhhMDKyZlkFGhRWZF09GB+RMiIzIe8ZBKlmJX3fzuxtSo1SCFKuzYw//M4xOMUcfKp9nrGzKyeI90O0ljz3nPmIvXVHBAztfkKj21Xfnu7XVlJtr97d5YHCVghqRtc97pAcNstoDBCzPd5fVNQ2qVseV8CkyrYGRyop5XOdjZJHpuF3HrXQuCHPIEZMxkJR7faObxn//M4xPAaOeqdnkmGmdQyClQWRthq0BKOQcKINb5yfnwOLCF4KHUa+l0LKulroiya/K++X6tXZtpyd1d///X1RZ3VGYkhBnHQxRY6oDgDOR8apSFNAaMsFnCTFIlHjhZgala53bSBEsVSEnSQ//M4xOYg80aIrEifcLL+iC+K2Ihj6sSRx2WWSRxEp2UUwz8mmff9hdkBSU6cjVmwopFOCYIDvzuSbIhlNlqUos6joQYMJpxLJz/76M10USiHMyuYQcQ5L/9G/gU9Xf6L+3UEiAmNHiduexqx//M4xMEbA0aUyBifdLzkICmdMVVc1p6KTkuwspOm0gziji4LzJS3TN6wdbr2zCGd3BpYeCyiyI9BzHhYyFDJ0h6VNtWIUB6Zd2qPJ//EJKZd1xL+NOt7Mo0Oqh0AIiHE9AuOsiFs4ZIWkRb2//M4xLQUOdLOWjDE9spKMEoprzN4xoKYGXfI+pLl7oZpqAk2k11njEHyDVBJ8YAXEySQRKa1MqRb6HAG9QlsI7uujzxG5TJY6cYHzqqXXOS2264UQY8mAhYxx6gXiEMjIh6HnYp8xx5Wb8+u//M4xMIUSO6uXHjMzFDYHmxXn40Y2yQkwmXODQZEQbaQsNX63L9eNdPULW528i+nr1t5WVfrLnokTFQoJUWum3NfUnYPDn//+9P//6oGEB75EHQkPMvyFCGISwpjBwnjlTqgW314kk2MP5r2//M4xM8UMR6NvEjE0JlcKzGVWZI7Z5WDgAtmcKpV31Nu7LrprvL6ZvsGAQYUPIkco5xEq5kWf1ErpL///rs6VqoIAmCRExcNBfUJZQuR7CbaszC5I5xclM6dKBWWjPYlWuP4sStoGN+vlcS0//M4xN0XscrWXnmSlpuEBkzKCFq8+vmn0FbScbPpTXYiPymp+9dSsJVPZDdELdKeXl+WhJ0kmdhVNN2QJh2GDxH9A4sDednMLKy3ds/+CK86vg67lbwM2bKR4CZSEMEC6Wg7AmjhP/oqFGJy//M4xN0UobKaPniM+Ltbwi7qBw0ECsMVQeSNicT5mLMc87xSV5cLz1HLQZGN3GMM2U4W9ljHJMqrJ2K5PxtGiRiSTGMf/LJq72djx4cLGoKFPIrEFXu2RyoW4wv+uKPRWdBTqkQaxnsqHq6n//M4xOkhY0p5lHjZPJbkZjkeQqNM0aH5Ro8a4TGBTXvkQChXEMZl9/7bf94Z4uskIAoeJ3PCOXj2adKketox4ov/zKdzxZnzQ1o2sBtSGBAWOxuSMDUzJ3/0s3sCKaJT5vo8HX/YvKn//zr9//M4xMIfs0qaXElZsNf880mcoUsNvCxWe8upiaZ9vNmGOX+UD8jpzmVDctmWwSQTTedDAvhAKgbZwTNiQTC68YGDJMicWV2CEfLtiCEQndt/9zQQZqWID2gIveYhH+TPEBopcy7u/+twa/////M4xKITcz6+fkBHXfyNAkgAgM7pDDSL1DikoOlDmYmSNXkOV4IMkRfo8ZUWhPpa+qNjeyfp1KxSdLquqVYB+6kBIhLWg6GuN/yspmdivmNyEp/o84uWZbL4YGAYaDtVDMWY//+w844YiKIm//M4xLMVaPLTHsMMqNP+uUM1dcNB5uh7DrwxpC9/WEw/T0W8pwiF9FEmpoPS8FmM8oC28I7OZ6zylCtKVrpzG8vod3VTgIKqEbvVoblEkXfiENfs6nwEa5newBA6GIElX2tHZEx1EzgWi4mI//M4xLwWgaahkHsHDEiqIWAptjoV9gjJoQRDOXFBLuTfCFM6mBPhnmF6GlymnJQbqNxSjrFKWCEREiDhQUvTtg+/+pC8HygIHDn//ROUkwWYyjyPrA5HPvHz16/T6qfNjEp9YjJJU6zddb1V//M4xMEVAZrGNnnEyr4d6TVxi8vpqbH1Ag73HjRcYcPVIkIrSnGJx2BXOt/kRE/l/uREjM2QoVO28uUzbeRpCl85b7u3ad881+NhvNPrvfy1WYMRxNp37wrEVVyyqE25dg8u5uz48KJZVjXZ//M4xMwUARqxvkiHJMVlgmCINZHQqBWS1bK1JrHJZJGw2uT9Ti3ud9LJD88/3oUQzhYx9Eo63mpaqIQ/2QgcWSyoRDP726GUtFSn//7qepEuaqtlL/8v/y9kGBCxwbf1nZDF0s6NK1N2q3+h//M4xNsh00KQTHjZcICdcpruUoUyUNSUmkkmzAFr3NkPg8vzDUaOQRskuYqSGZLoDcyWxyzGpgp5MmZYtBiMxWWAmLC0Ix8CgGDT2K3MKkVf62hVyh9YpHJPu0/eaSOPf3Cgg///TQS8LfRN//M4xLIWq0LeXnmEVuwaQpi0lNZCVB2errtK1zv+d405UmMVzMXrYyiUUa7p7JZLHZFMYpqNo92//n+cgvPRKIRt37bfVb3/Csm0xwby9+p7ZE44kTR2g194q++43uJuR8vKXrAoYeDQVPCj//M4xLYUaNK2XnmYjA4shVmNNJO2SSPQBIUJS4WdE8mT4kgN5c1Gs4z9zHEzlr5FmiG9OqcwsTZupPvfMnU+HwzMEsMKEDQBMq1uzFTxGPMhpCqMw26lOSrO+IpEGv/9TgafDaoWRZg/G6hA//M4xMMZ8z6g9GCQ/cXzhUCg7ccLVlEwIx6SBd17x/GlFbF0rcyY3gN4EII1m3g5FiDjNzHyjBKKiSo/abJ5ATvA6GDL92cKS66exZcLXLbGEiboraKgqMsKVUAJTbtv/9gAzhnaBzp5LIcQ//M4xLoUyTK6XEmGfoHBMNDJ7/Of1773m97GToVwy4pGGKm8LoHU3yomQ+OT8Tcl6HnOde4RLUTAsc7HOm7/6dn8lcCBFBMK3llV8EZg6doRgibYEs/OERLP2DDnHJU2zE/sWWJYMxIjHN7h//M4xMUVCNKAUmGGdCrkaRa4rEX1nOUnLMS4exY4ratbwBtO9dWxs2GSCVni7HKzbLJM9pHCfHqIvD48bCJxo0iUoShnPyyhx9Z0cJIdwNh1aPFv2txUWVTLFq1trI3zdL3+2TbbVxzf8MD9//M4xM8beeK+XlvZYPkfl+dG9Lrf7PeRCokc8MWEfzFu0PKevdzCGTdZdu0Nl5l7+zeMywr6BPXEnHQ2mZc/UEQPP+pIJPNMBcnlCX//n3//f/HaVf9P+grAIm5SaeIDCSs8A6NcUNyCp7Dy//M4xMAVqcqYAHiYzTib8YU5DqwVicQ9Mup43sr3RBneLsJ6CH1X15D63qnmTDmS0XWCQdcQv0f/F2MSuxUGgmAwR/W6juV0kBytKgDdQglcTg7XSBHWo+2gJhQgJjXHCvRGrKYEkRF40fMt//M4xMgUUaL6XnmG1lQ1+epuWnLFRc0QKU30SbTh69Or89GdEFgfPuT3G3BiqKQfhFMD7JaaYHXFnO/Q1VflOQMolhH+4dWw/mUjtxoVjqUwZ/wX34ztJ31UwtVC0DGjVx8boKLGPABE0FHy//M4xNUUIXLBjnpGTqZ/b9yrF79R9e6yMF4xksTFzTS/lr/MpWkCVNCypwWhUZT8LEbUl14ReA/yX/xdaLs3ah/3soyia+YrcHzcd6HRGBQ/KE71fLGpsYKs5vgGf59mI5G4Sdkso8qXldOb//M4xOMU+c6uRmIM3JJioRPdqnZrb7UffOzcx0VvqzHVPIqhdjR57iS40EsRBWODIwTMb/55E385kuxoop3M8gMQigQlb0shuwpzcUrTo+eeaXW85Dk0PSGgdISxNrlVHqNLl326BtnPETOr//M4xO4Zcga1hmFTCjTOnGYoGmESp7sdMtdq8PUKTBxXDdr3LWa56Fr+zBnU1CgKnfrNd2ulqCYs4WRuh0uvnrSFYADvaQHXCNlrehizXY+WV8umKg5Ud5OpK1o/6hwtGQYDkJJZXMwTSOsE//M4xOcXokbGLnmOynPb/X+83zu+8f7mbjLS1J+xXQ3mWl8Nb7+5PQ6tXV/6fnTO2dP05YsSFIllQsX/K5me9ebn+UuoGYcsb9GHO5vi2J1HvJVwEcNUetFHAX8es48l0MSGaZmFwcL+rBBV//M4xOcXagahtmFHLPaj+m96y/niXtSjxWKx5FjGghzRCVjArIrPRGqXbImiG0rDloWqKcw4gzC3CFBiCjeFyI3I8xNstPjJAAXTVpHBKA5EfWYaTfJFeRg1RTJmPaWwNplo1KPp6qUrG6if//M4xOgpGz6dtmDf4d0o+qf0/0ejlY0wYeWf7IdEv1HlHg6WhpwVdglE5BGCyMBwm2XIBQKAoYEZ58g9fnE7QrvvjIMjeeP9k/sfxVUxLHlFW0mxlgKvsXSEQeNlRRTm6kgQAgwHnviUk1KP//M4xKIXQnK+fhpFRBd071Uo39K2PJVT2Wi1qRsI4EsRqfovBbjiwpVLk7QfJeGjFdpbmA55J9FZ6ZvVT4+dvOAdHpYTVzC1zYJaxUoeNS+3tZ/93NWaxeWEdW00UEsjg7IoZgnKF15eHUMA//M4xKQVAQKYVgpMDJhsUGwDkdoCNdQeVf/0Wo1ztnA17Vv22ZIBrj1xJhRo9Ha9mmH4Pqk0pYXsTYs2RnZjwS7qgXTMUYLha60l8+Htzy7/ts6VVEsKNmKUEVWgKgIedX+wXM1ve3R7hLYq//M4xK8Y6cqUTHsSlJYxxecvyKFqZiCcaSiLkgG4w3bWHUynWZHKlpn2A2taFs1J0ChpoMYkffIzA2EtBbx+sunY5IHEEM5My3bQ5V+Uzs545Xs/zQdGg1eFPF9l2/fpv53J3/9KKoQXY1JG//M4xKoUmaa5lnmGTuyMXA0lQwaEvXNRdEyZHLlq7J1VRV48/yokSrdfW23IjHFQVkwZpNQEbtCQWCSA0Eh64qVBUAscNW20ACeVS3aUUUPxAGeX9XUUev8c+gY21G1Iim5A6drg1CJW1LNC//M4xLYUgbK2XnpGTmmZwdKH88jar0s1V/X0eIHOiBbpdEHO59jk5e+/KZdfn/f//0iA0PI1/Pb6bpYf8//5keinylTS5G5FTveSIn7CTQE538qlK7nRLhBZmWxYuz1281TMiXkNRAHrWu3Z//M4xMMUoNKhvipMAJIBppCUtTqFsYixzJ7TOZAlIlrW0hwEGwseEIxxsmIkmR7aFk3PS51BipQbaRFhs4gGgy4Qs4cLLFRxlM85bHC3/ysqafYtBirjxkohw7D5vC7TEScCWvAyjkHu2SKW//M4xM8Ye0KeXlmGKF25c2gnBtDiZgTF0JYH7DDHGDAZeTHOA0cRiyV3mQE4CqPCj1uYMrG/W4soiIrZk6aqeAa1UqVuiqkqKSNEKVgAqndJJlPIFAmiWnHDUFl9ErI6BgDd3Ili76KiCjav//M4xMwVMNKVtEmGOLNhWHkTD00FjuPanIfnQ4QRYp+X9ziQjdz/XJ5vX0AGEAAgFycALD9DjfS7tdpqyqpJpyJpsuWwAGpC4FdOw17t0LI2908QYQMFB44ARuGsMamJVYp4fL8rSdFQNE4t//M4xNYUcJ6NihsMAKOQwyDv/C+RjFcUNaXEB3cw93/+/hEMBvcBIHau9dItU9cSaicfV3oPzB2eB6ImsingAy711duqPacu2o+6d/KgVuDY5dHBjThehcXFqPV72/X+YMWCehji9D/CeVBz//M4xOMVSTKaVDZGHJc60y4fF5q0ZJ9wHD7I+m3RSq8ag4fOJzS3vp3+fJgsgAACd/cQQIm33PmnCzjyO5v+bf8vItgCAEt1A+sE8c96BeayUahuzkrs3EgA8qGh8FyZ4K4f+Ig8wh2t6+UA//M4xOwYyaLCXj4QPqJDUNTqFftbhvB4lhRXUTagNiLVGHcTIsOPl250qLO4gezaL6+R4bYVEY5hOu8Dv7zMLZRERg4g29zWPYcXYt3+4I0dJzTrSyjVSEA3OzKowc9ib8J1NcZUvZ+ZbArd//M4xOcXua7RnkvGtqG43MwDRUkjeKkeov87bIWoxB8dfFW9bNvOxLWjNcNwpoqeAqEIEJCKiu1PfJkZP/mM8BCixI4zSgAIACR6RgXpcKes1AF4Ydfk5MT4iMEvbWplLqSzPACEsRQX0vgn//M4xOca6cqg/nlTTHExaSJCghjVaoDIBBIPzycgXKmAWMSylKEKxa2cfHh9kJAqAGKW/ar7y6RfrM9v/9OMhpIu2Sy20MLxnEdMdohk7m8hlmI3j4W5Ewbih7xHLUlZYv/FFO1COKQKkmEt//M4xNoVGcaQCMIFKUIIDEwCNVjrzxGnJoKyI0pf/9LW0pG5NvwW2JQ6MUyMtOgjaRkNtVcth5BlxJm0azXLfUoC8SJMKoAADjiMoAiYVwyI+1aBkg6N8A6PDKHD1mWewDez3YqY3V/LlEnG//M4xOQVuLKWNn4SMH4LYJgZDjuks7G8U0HQq6VL5FxtlZWZiLbvZV/eqEO5GnFnHJBt4nNuklimKddbqVUvQmogACNxCW0YhTmOyxxoAZWTkbGCs5Gk16Jl9AIhk+ERx58CWexy1VhlBaLM//M4xOwZie6+XnpGzvZ5GvdK3R3N8eef68eewe1BfqVXTzvdQT0WPhbS4e4LLyA85F5KD0IzjQbJykWaee5R+NGCr6Zi1H6gyUkzUXEmV7ks9mXXrCX1Qw3I3aAPAuO1V4kPv+p53si77XCA//M4xOQWUZ6ZnnjFJP+ImYo3fyYw6pjLW/kKWXUo4aZ2dHat9L3QNKYzKwgzREpmXWW7JT32q+Da1phIJgyp0IlRayre3qWAACSyy8AZA4VA+PDMBrs5ylbO5BUl5y/BXHHNxtjWVhKgDTSE//M4xOkc+cKZHn4QlBFDmGKEC0Ox4v/8PWlUkG+zwb/WaepayotT3Sttm3Fa/nOHf+n+d+4zwLLxv+7nNkE4AA//rdtw+nYGK2JCazzSE2aWxPPHMwC/Ldn2YUd1VecCAhiCrZNRyIc22iCl//M4xNQT4eLJnnpEztTMqMXBmpG/muf5P9VGOOZfox0KMGMAzGyThFOuUFT/1gILoLVT6GvftKBLWUaLxP1uWmooACuRmRkPYmCxqtmGerle5HQ7YE4aWxIgdKXqu5MScpxZ4TZNdgYRmnwX//M4xOMVOI6hHmPSTYQowsRSARUkPqLASXU4oDA8eowUPsFj9YnB8oAwffxPHHLzVKJSxm8FFEIte1vtZfJz8QAgGGA1LQFWniIwIFZLhKJlQAChipk0kzxDtN3EmQjYc4znBSN0BcTNUyZP//M4xO0YkYaeXnmGzFIG4h0JcqH6pb2NmBhwM8QXqhWXjmZf/cWaQivEzQXEcOLQqT7S3KFniGLAoOY/PwM869zz8Yof/yv/+drMVRMIDdjktgpfaKCD0irJLhLQmwSEN57EXQL8l2YaxNjc//M4xOkYQL6NHjPMFCmr2Ubjo7C3GU0Y714VCiB+MNxn8ldpX0NuCylJ2PU2hlQxUX7JN5v/9JGRj2SRmUxqikLmmej7f66s/0Js1mtKS21u4ZZ7j6qH/m9MRcR/SqNNSU36BZzXVQi6zrtj//M4xOcZyaqI1MPGkLx5RO1Wz9kdYxAixBAI+BBcSl5EZbDEiLzBEQRFGzSxEbc02ghYnFgAA1n3PMh9QD/zgsGJPt/6vfXZ1BwEA+HqUNuSqSjc+T/Q2EWxAocyRTjHCWFEIaDIMoFQQhKK//M4xN4XKjahnnjFJHZIqkd5jzP8qU8D+RZSoA8kMO8HHXW4d2vMxqycwuFIFBmm86RcJBc48c9iRaUXluOhuqZmYNsuyMsIA8EgcgnEo6OOu3jlvj+O9mTd3hhYTUgNQZhBryD///7InNa6//M4xOAYoXLKXsPGkuCtUnAGLJVsBAR2Q1dpUOslo6G5XNWrs8xOONMV3uma9p0uoOJjo4qkM+yBbtdnaHuUPj3EFBHHpl6m8ktrroeaIKFA4HTODMU2XTT7Zamytu0WcKPGJVqq9H7/UqqA//M4xNwfIk6gXn4RIAAi4HaBvD0+oKkEGSMap3HBIwo5TPoC6uw2YMQfZnTSgspeUW/aigMA05GWFL815mP2bJr+4h33cvK++vv/fxOfK5UrgvnnjJrsTVqWrr11f3WmtNVrxMXWYs4LgC6x//M4xL4XUja01mDLanTEsRAmsHNiAVtkoasS0ClgrolIwwwxKAmSRJwlBImjCdEU3JqZcLhsWkmPA8bkgeHKyYwBDMSmfZNVA1upqSBKLMThoaGKbm7FN1OlUal9KapMsiCGTIBqruLjnlX0//M4xL8VSZ6hl08wAEyQMJqfPLqqe9Ppor79tkU7H0zU4eMf9fq9Xeqpabm7TdA0L6CCjQ0cYQe3//+i///5dSXkjuFVcCsJTAGFXBykMh+QnlQgwL/TNapjc1nW9NkKfDNfUBh3FpBxa1sy//M4xMgnI86IAZloANrYzfEHNo1t7r741r7m9sYrn0tvH1rN///953/8SZ3quK/NaV/+Lz/XvXX9bbxv//xtZpj0zve9RpZ5bOEfU8zfCrRylgMl9UyzxJoWIb+8tt5w/W8taoa1M90qTHqw//M4xIomE0qIC8x4ALgnzdP5gN0eYlBFC8NmVYk6o9tt96gAhmjMl4sGcyaFZiFHFhMwQIUN5eSjZNnS0rmVR2wpiZ2x3ZFKUqf0dLpT5x5ziYZ3qvie/fm/98Z/k5DJAuvW3pcPs5cNXoiu//M4xFAaszquXkmK/E/5di++bShppu2tu19W/TWYyGEWIppUAYWFXYkk7NI3XIgR1QFem+BV81teSKPtG4emJ2fNSvdrakC19bxNaLJHm7uI9N6PQ4GBvuIz8nQir8rwkn//en9OGiPUI4YA//M4xEQX0eqmXksGjDC2zbyoQZ4jCjMM1r5uwHAEQYn+z+bLLOjAs5UWcOto7noyCwWF4vDgNYCCYlAFhwrlvQv1L3c/aKhPZrdPh4xuQeL17iS2NYhyjQ/BCyYsBkx5iw+kgcBAaD8kD6qL//M4xEMVWSaYwmPMhCxDkLxZNxT/9Z36tR6yj5UbVUrBgxQMIcDdg1UwDmtwOEpSKxaxl39B3zbMkI3z9S5JPPi1Vq/lcsXSlAfxUBhwnJjDoyqrhiberRiVG1tJmfF/+33S+uYEg4FrP/////M4xEwTybagymDS0P//9VXtFeWYHwAJYdcwAgqkfpVqYrIB9Tyf+lBRVDwzsVKi1T/acfpZFqf89PMBDgAEDhzW8O5IUvDal/lOMqWjhWNHaXLcoymsOAoQmirevxHmSqoinZJ1ztohtCf+//M4xFsT2gq5tkjS+VGnwUzcyTuaRQGyVWuJSySRRlUoeuzquzfD19uM3+y+0YHVqkUbq6qAnQbLhUSq7tiwVGBoFganf+zJRfK2bLpJVn1ILnUVGwMu0ISsjEQYHN6ZxN1yaQQIIyfNukU2//M4xGoUWVbGVnmGUho12YoVigyObWcjmiSUZ1f1lbYjEaX9KXRWD7aUena3tUtDIogRDRKLCj1V7inrQr3WdDtC1X9STMksjlkcy2112u01gBdWrisuGmpqNjEGgLH7aZcEAH1P2WoiZ33f//M4xHcT6eKVv0YQAOsngmMicHpzz9V5RCVDhO8kJ5Nl3wRvRqDmsDJAD/YA3Pd1Q0gb1uKrMDrDdEBH/d+GXcd2aNvU0cHJrMhqbMWtzz8/LP/P+7RozcEGIzD7d/FaUeWv58ln/r5+u+FY//M4xIYmGyamX4xIAI57kM2bcFVtVk1kpf0VSr///VUFBvMEyAiTMNntYyK66BJtk9Kph49aqIJoEKi4nKDJO0UGy4iJOvOU0OLE6Coe7y/92vXldyvcjXld5n6GbF/9PUemm52WCosCv8z+//M4xEwUwXaUy8lIAK0mop/+umgS1tHqbbThCiwIfNDLYrJZDnOdQmWdZ/l2PAuhCCwJxcFsCME/JAXwSESwe3EJJBgRV929itr8pzARLk6++icmyn/Rm65z1cQA7i4IKIgGPoRt0aCAPjME//M4xFgUcbqcoHlHTbA5V0ijqzmE5nRVhP0QBkQ1MheKhjTs6iJwnDqCQi1CPBXMaWVtowUE9GdmMDZiyv1/uk6e3atPekpZaElWaNzEposJFj+EN6VMA8IWplsBIKiG2roNTPq6YBU2XarB//M4xGUTob6otHiNMbpeM9Va080HUEs02ykaSXqKkC1J2uRNttMcWK6Nq/sbZk1S8GXo3b/XqxqHDZWB1c5lR3Nqxag1GaQVbySAJktbeAEt7YMZNK5vAbCxW7ASDJ+64FEH+68zOu12Uo5F//M4xHUUEf6hUn4ErK9g5+5+ZkhdRf6kYhAbUmnoVKLrZNCtq1v/9yNnIY36p6tr0Uv/8KcOdfWhpRAAPf6j7DX18JVc3Do16Bpc9Mlp0bzOHnMNxo6qGFUgI//2gtls7l/3dclX+//7Zakn//M4xIMT8j7WXnsEejn7p/////o4wOGCYBnMzIwm9clm9eqMc9PMIMhe1RdJzndBghVmh0VuXbfYW0Xt4JMXqyqYovRZ7yp5IPyHfhe7ClcnKv/U6Nt/25CFJbmv/6ciZCL2Vun////1Ioko//M4xJIV0zLCPmDK0V7Vf+06KeibKY5RiWRWxBFlVjmsEVQmQSq/2siJJ/11KAjYO1bHRHos1DuCAIJqas1PWd975C/ie8nS63pN39/YNE0prqPGwWReRIWfhE0rCgjRSERdiEKFlL6ZL8zP//M4xJkUmzL6/nnETxAJf25lCG3ESwsadgEoKoApgMYYR8uxODQIIfYFwSh/p4nCx2JCHebwGGOhCx/RFomaOAARHF3oOChgTtEYWLjggUObt8meb0m6UUDQQSnLP2ezv1YKneoO8KHkKPHk//M4xKUUQRLCfjJMoGVqPDNIBqt6AB8C2pkySxgBlOkoGilYlVpLyzKm0WP4au2qTiT7avszGzDt83bZ3pDnpkjwCbBxq6uJeo3dbn/MvJSR7t/97PmNv9TyygaD9RZabf/+upHbNrrLZaLb//M4xLMVUJqhlDPQFLXbbbYAB6kjoGLzY8OTVrKbiFEq0HSUCFjKXSq0APhIiTlxRqbxbl3P9YdHsn4/xbPjwqw4sPFbb//7UrmE6o8OupKUj/49tx23Uj2RkeXj6et7d7f//cOJe1XGbOG+//M4xLwVIcqUC08wAGtPSsGJbeLf2ti3xJFrumr33e8Te4l48V3/b4t8Wzj1/cXrNrHmytNsXVp89iYZK7rmmnukFQL0pSUeqiVgEBEGAmqkwEQYUeDRYsDTyp2Wlfsy1/T/keo9xF1HuR/+//M4xMYnGuLKX5h4A1f//iK/PEcsTEFNRTMuMTAwqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq//M4xIgMOFXsV8MQAKqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqqq\" type=\"audio/mpeg\"/>\n",
       "                        Your browser does not support the audio element.\n",
       "                    </audio>\n",
       "                  "
      ],
      "text/plain": [
       "<pydub.audio_segment.AudioSegment at 0x7f5a82a3e0a0>"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "row = df[~df['audio_filepath'].str.split(\"/\").str[0].str.contains(r\"DOT\")].sample(1).iloc[0]\n",
    "print(row['audio_filepath'])\n",
    "print()\n",
    "print(row[\"text\"])\n",
    "AudioSegment.from_file(DATA_DIR + \"subset/\" + row['audio_filepath'], codec=\"flac\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "dd1194fb",
   "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>audio_document_id</th>\n",
       "      <th>identifier</th>\n",
       "      <th>text_document_id</th>\n",
       "      <th>training_data</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>gov.uscourts.ca9.04-56618.2006-02-16.mp3</td>\n",
       "      <td>gov.uscourts.ca9.04-56618</td>\n",
       "      <td>gov.uscourts.ca9.04-56618.2006-02-16.asr.srt</td>\n",
       "      <td>{'duration_ms': [14610, 14920, 2190, 14800, 14...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>gov.uscourts.ca9.05-55072.2008-05-06.mp3</td>\n",
       "      <td>gov.uscourts.ca9.05-55072</td>\n",
       "      <td>gov.uscourts.ca9.05-55072.2008-05-06.asr.srt</td>\n",
       "      <td>{'duration_ms': [14370, 14920, 14740, 14860, 1...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          audio_document_id                 identifier  \\\n",
       "0  gov.uscourts.ca9.04-56618.2006-02-16.mp3  gov.uscourts.ca9.04-56618   \n",
       "1  gov.uscourts.ca9.05-55072.2008-05-06.mp3  gov.uscourts.ca9.05-55072   \n",
       "\n",
       "                               text_document_id  \\\n",
       "0  gov.uscourts.ca9.04-56618.2006-02-16.asr.srt   \n",
       "1  gov.uscourts.ca9.05-55072.2008-05-06.asr.srt   \n",
       "\n",
       "                                       training_data  \n",
       "0  {'duration_ms': [14610, 14920, 2190, 14800, 14...  \n",
       "1  {'duration_ms': [14370, 14920, 14740, 14860, 1...  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# clean and dirty manifest are the same\n",
    "meta_df = pd.read_json(DATA_DIR + \"manifest_clean.json\", lines=True)\n",
    "meta_df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "38ace7ad",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gov_DOT_uscourts_DOT_ca9_DOT_04-56618/gov_DOT_uscourts_DOT_ca9_DOT_04-56618_DOT_2006-02-16_DOT_mp3_00000.flac\n",
      "\n",
      "is there anything to wear it on this one or have your our colloquy with you already developed what you need on this this is the attorney's fees yes or i do want to point out to you simply that\n"
     ]
    }
   ],
   "source": [
    "# print(meta_df.iloc[0]['training_data']['duration_ms'][0])\n",
    "# print()\n",
    "print(meta_df.iloc[0]['training_data']['name'][0])\n",
    "print()\n",
    "print(meta_df.iloc[0]['training_data']['label'][0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "c006fe9f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import funcy\n",
    "import string\n",
    "\n",
    "unigrams = list(funcy.flatten(meta_df['identifier'].str.split(r\"[\\.\\-\\_]\").values.tolist()))\n",
    "unigrams = [w.lower().strip() for w in unigrams if len(w.lower().strip()) > 0]\n",
    "unigrams = [w for w in unigrams if len(set(w) - set(string.ascii_lowercase)) == 0]\n",
    "vc_s = pd.Series(unigrams).value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "079fcfd9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "gov         50682\n",
       "uscourts    49906\n",
       "illappct     9447\n",
       "cafc         5130\n",
       "house        1341\n",
       "case         1177\n",
       "cadc          861\n",
       "ill           854\n",
       "the           837\n",
       "cv            684\n",
       "hbs           591\n",
       "council       545\n",
       "cosflv        536\n",
       "cons          487\n",
       "of            451\n",
       "meeting       437\n",
       "scotus        430\n",
       "peters        407\n",
       "board         405\n",
       "gvtvnews      400\n",
       "dtype: int64"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vc_s.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "3c4ad739",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "400"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vc_s.loc['gvtvnews']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "9d8fc08b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "audio_document_id    Gvtvnews-GrassValleyTelevisionUnderwritingAdve...\n",
       "identifier           Gvtvnews-GrassValleyTelevisionUnderwritingAdve...\n",
       "text_document_id     Gvtvnews-GrassValleyTelevisionUnderwritingAdve...\n",
       "training_data        {'duration_ms': [14860, 14620, 14980, 14800, 1...\n",
       "Name: 922, dtype: object"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import re\n",
    "row = meta_df[meta_df['audio_document_id'].str.contains(r\"gvtvnews\", flags=re.IGNORECASE)].iloc[0]\n",
    "row"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "731aa37b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'duration_ms': [14860, 14620, 14980, 14800, 14920, 14560],\n",
       " 'label': ['focuses on newest technologies to reach the public i pods cell phones podcasts and television it might surprise you that our program for advertising is not',\n",
       "  'expensive we believe that our success is based on your success so we provide you with proven options that you can streamline to your budget grass valley television produces g v t v news we care is locally on',\n",
       "  'two programs which combined there are over two hundred times a month on channel eleven and unlimited time johnny unitas underwriting for six months contract is hundred dollars per month which breaks down to fifty cents per management also this shows that if you support your local media',\n",
       "  \"as discovery lifetime fox news m t v and many many more if you underwrite g v t v news and we create the overlay ads for comcast channels in the grass valley area for free that's right it's free and that's a value of a dunder to sixteen\",\n",
       "  \"speak for the future way to reach your market for a limited time we offer to shoot your underwriter mention and eric for one week on our news for free that's right if you act right now we will schedule a time convenient for you and provide\",\n",
       "  'you with visual proof that we can help you no obligation if you decide not to underwrite our news you still receive a free week of exposure we have put together some samples of some of our work with this d v d and you can see that'],\n",
       " 'name': ['Gvtvnews-GrassValleyTelevisionUnderwritingAdvertisingInfo682-3/Gvtvnews-GrassValleyTelevisionUnderwritingAdvertisingInfo500_DOT_mp3_00000.flac',\n",
       "  'Gvtvnews-GrassValleyTelevisionUnderwritingAdvertisingInfo682-3/Gvtvnews-GrassValleyTelevisionUnderwritingAdvertisingInfo500_DOT_mp3_00001.flac',\n",
       "  'Gvtvnews-GrassValleyTelevisionUnderwritingAdvertisingInfo682-3/Gvtvnews-GrassValleyTelevisionUnderwritingAdvertisingInfo500_DOT_mp3_00002.flac',\n",
       "  'Gvtvnews-GrassValleyTelevisionUnderwritingAdvertisingInfo682-3/Gvtvnews-GrassValleyTelevisionUnderwritingAdvertisingInfo500_DOT_mp3_00003.flac',\n",
       "  'Gvtvnews-GrassValleyTelevisionUnderwritingAdvertisingInfo682-3/Gvtvnews-GrassValleyTelevisionUnderwritingAdvertisingInfo500_DOT_mp3_00004.flac',\n",
       "  'Gvtvnews-GrassValleyTelevisionUnderwritingAdvertisingInfo682-3/Gvtvnews-GrassValleyTelevisionUnderwritingAdvertisingInfo500_DOT_mp3_00005.flac']}"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "row['training_data']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a888d19d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fa4c68e0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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