test_Inspect_Paragraphs19_saliency_climate.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e0b30443-bb84-4d94-9814-df42c53c47d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import datetime\n",
    "from matplotlib import pyplot as plt\n",
    "pd.options.plotting.backend = \"plotly\"\n",
    "pd.set_option(\"display.max_columns\", 200)\n",
    "pd.set_option(\"display.max_rows\", 400)\n",
    "pd.set_option(\"display.max_colwidth\", None) # None for all of it\n",
    "PARTYCOLORS =  {'AfD': '#59dcff', \"CSU\":\"#525060\", \"CDU\":\"black\", \"SPD\":\"#e03427\", \"GRUENE\":\"#52d157\", \"DIE LINKE\":\"#a33ab5\", \"FDP\":\"#ffeb3b\",}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "aefe38bf-a89d-4ff7-978e-32959d994542",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfg = pd.read_feather(\"germaparl_19_pg.feather\")\n",
    "dfg[\"last_name\"] = dfg.name.str.split().str[-1]\n",
    "dfg[\"speech_section\"] = dfg[\"speech_section\"].str.normalize('NFKD')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "1400c24e-0018-4ef7-8182-d1f94c084eb2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(570716, 19)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfg.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "cf4aafd4-8e40-4279-815e-13bb2313922f",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfg = dfg[dfg[\"role\"]==\"mp\"]\n",
    "dfg = dfg[~dfg[\"party\"].str.contains(\"parteilos|LKR|Partei\", case=False)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "d5e9ec05-f988-4a8f-9c15-bc8059ce60c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['SPD', 'AfD', 'DIE LINKE', 'CDU', 'FDP', 'GRUENE', 'CSU'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfg.party.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "49bdaf2a-bd6f-4426-8c5c-0259f487e61a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CDU          57941\n",
       "SPD          53429\n",
       "AfD          45268\n",
       "FDP          34280\n",
       "GRUENE       33504\n",
       "DIE LINKE    32745\n",
       "CSU          21279\n",
       "Name: party, dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate total paragraphs per party\n",
    "totalcount = dfg['party'].value_counts()\n",
    "totalcount"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "7584c328-db5b-4d55-b70a-3796911e1c82",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate number of paragraphs per party per session\n",
    "party_speeches = dfg.groupby(['date', \"party\"])[\"name\"].count().reset_index(name=\"count\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "e9b1fe6d-eb51-4f60-a041-492b08a7e66b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>party</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017-10-24</td>\n",
       "      <td>AfD</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017-10-24</td>\n",
       "      <td>CDU</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-10-24</td>\n",
       "      <td>CSU</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date party  count\n",
       "0  2017-10-24   AfD     16\n",
       "1  2017-10-24   CDU     24\n",
       "2  2017-10-24   CSU      1"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "party_speeches.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "80f9e22e-2bdf-45c1-85c6-4b2eac560369",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate paragraphs per day\n",
    "pg_count = dfg.value_counts(\"date\", sort=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "aa5cc824-76f5-4c88-86fc-f0bb287b004c",
   "metadata": {},
   "outputs": [],
   "source": [
    "#dfg.loc[dfg[\"speech_section\"].str.contains(\"energiev|energiew|Kohle|Atom|Kraftwerk|Solar|rneuerbar|indkraft|Abstandsregelung|EEG|Wasserstoff|Windrad|Stromgverbrauch|Stromerze|Strommix|Photovo|Strompreis|Erdgas\")].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5b8b7d21-09b8-4d3b-8956-5bc4ae3f5d3d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f1eb5b0b-8fa5-4504-b466-a987cb92a4e2",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfg = dfg[dfg[\"speech_section\"].str.contains(\"Klimawandel|Klimapolitik|Klimakrise|Energiewende|Klimaschutz|klimafreundlich|menschengemacht\", case=False)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "951c30f3-706b-4bac-aaae-31d80d0f4fcb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5691, 19)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfg.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 355,
   "id": "a503d3d2-6808-42cc-9ca2-fb006ecc269f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>party</th>\n",
       "      <th>who</th>\n",
       "      <th>description_agenda</th>\n",
       "      <th>speech_section</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>385838</th>\n",
       "      <td>CSU</td>\n",
       "      <td>Anja Weisgerber</td>\n",
       "      <td>Befragung der Bundesregierung</td>\n",
       "      <td>Sehr geehrte Frau Bundeskanzlerin, die Themen Nachhaltigkeit und Klimaschutz spielen ja in der EU-Ratspräsidentschaft eine zentrale Rolle; das ist auch gut so. Klimaneutralität bis 2050 ist das Ziel für Europa. Deutschland geht mit dem Klimapaket ja mit gutem Beispiel voran. Wie motivieren wir die anderen Staaten Europas, hier mitzuziehen und nachzuziehen und auch die Klimaneutralität zu ihrem Ziel zu erklären?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208837</th>\n",
       "      <td>DIE LINKE</td>\n",
       "      <td>Bernd Riexinger</td>\n",
       "      <td>Vereinbarte Debatte: Die Rolle Europas in einer Welt des Umbruchs</td>\n",
       "      <td>Beim Klimaschutz ist es fünf vor zwölf. Um den Planeten zu retten, müssen jetzt europaweit Regeln für saubere Energie durchgesetzt werden. Spätestens 2030 müssen alle Kohlekraftwerke vom Netz und muss die regenerative Energie ausgebaut sein;</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            party              who  \\\n",
       "385838        CSU  Anja Weisgerber   \n",
       "208837  DIE LINKE  Bernd Riexinger   \n",
       "\n",
       "                                                       description_agenda  \\\n",
       "385838                                      Befragung der Bundesregierung   \n",
       "208837  Vereinbarte Debatte: Die Rolle Europas in einer Welt des Umbruchs   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                                                                                                                                             speech_section  \n",
       "385838  Sehr geehrte Frau Bundeskanzlerin, die Themen Nachhaltigkeit und Klimaschutz spielen ja in der EU-Ratspräsidentschaft eine zentrale Rolle; das ist auch gut so. Klimaneutralität bis 2050 ist das Ziel für Europa. Deutschland geht mit dem Klimapaket ja mit gutem Beispiel voran. Wie motivieren wir die anderen Staaten Europas, hier mitzuziehen und nachzuziehen und auch die Klimaneutralität zu ihrem Ziel zu erklären?  \n",
       "208837                                                                                                                                                                              Beim Klimaschutz ist es fünf vor zwölf. Um den Planeten zu retten, müssen jetzt europaweit Regeln für saubere Energie durchgesetzt werden. Spätestens 2030 müssen alle Kohlekraftwerke vom Netz und muss die regenerative Energie ausgebaut sein;  "
      ]
     },
     "execution_count": 355,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfg[[\"party\", \"who\", \"description_agenda\", \"speech_section\"]].sample(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 356,
   "id": "af9fd227-a3bd-4993-a390-d7bd34bfa757",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "         date party  count\n",
      "0  2017-10-24   AfD     16\n",
      "         date party  count\n",
      "0  2017-11-21   AfD     10\n"
     ]
    }
   ],
   "source": [
    "print(party_speeches.head(1))\n",
    "print(party_speeches2.head(1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 357,
   "id": "64852b61-be51-425a-b684-c82368b6e698",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>party</th>\n",
       "      <th>paragraphs_total</th>\n",
       "      <th>paragraphs_climtate</th>\n",
       "      <th>saliency</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>929</th>\n",
       "      <td>2019-12-13</td>\n",
       "      <td>DIE LINKE</td>\n",
       "      <td>154</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.071429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1008</th>\n",
       "      <td>2020-02-13</td>\n",
       "      <td>GRUENE</td>\n",
       "      <td>195</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.025641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>2018-11-30</td>\n",
       "      <td>CDU</td>\n",
       "      <td>351</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.008547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1497</th>\n",
       "      <td>2021-03-05</td>\n",
       "      <td>FDP</td>\n",
       "      <td>164</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.030488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1533</th>\n",
       "      <td>2021-04-15</td>\n",
       "      <td>GRUENE</td>\n",
       "      <td>195</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.015385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2017-11-22</td>\n",
       "      <td>SPD</td>\n",
       "      <td>125</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1286</th>\n",
       "      <td>2020-10-29</td>\n",
       "      <td>DIE LINKE</td>\n",
       "      <td>229</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.004367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>581</th>\n",
       "      <td>2019-03-13</td>\n",
       "      <td>CSU</td>\n",
       "      <td>27</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            date      party  paragraphs_total  paragraphs_climtate  saliency\n",
       "929   2019-12-13  DIE LINKE               154                 11.0  0.071429\n",
       "1008  2020-02-13     GRUENE               195                  5.0  0.025641\n",
       "470   2018-11-30        CDU               351                  3.0  0.008547\n",
       "1497  2021-03-05        FDP               164                  5.0  0.030488\n",
       "1533  2021-04-15     GRUENE               195                  3.0  0.015385\n",
       "20    2017-11-22        SPD               125                  0.0  0.000000\n",
       "1286  2020-10-29  DIE LINKE               229                  1.0  0.004367\n",
       "581   2019-03-13        CSU                27                  0.0  0.000000"
      ]
     },
     "execution_count": 357,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "party_speeches2 = dfg.groupby(['date', \"party\"])[\"name\"].count().reset_index(name=\"count\")\n",
    "partys = pd.merge(party_speeches, party_speeches2, left_on=['date','party'], right_on =['date','party'], how=\"left\")\n",
    "partys = partys.rename(columns={\"count_x\":\"paragraphs_total\", \"count_y\":\"paragraphs_climate\"})\n",
    "partys[\"paragraphs_climate\"].fillna(0, inplace=True)\n",
    "partys[\"saliency\"] = partys[\"paragraphs_climate\"] / partys[\"paragraphs_total\"]\n",
    "partys.sample(8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "45ff5c10-4075-428e-bcb8-6d954a60a7a0",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 359,
   "id": "24a2cad5-f971-442f-95c8-78437e2398ef",
   "metadata": {},
   "outputs": [],
   "source": [
    "## exclude dates where less than 6 partys spoke in the rolling mean\n",
    "dates_few_partys = partys.groupby(\"date\").party.count()[partys.groupby(\"date\").party.count()<6].index.to_list()\n",
    "partys = partys[~partys.date.isin(dates_few_partys)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 360,
   "id": "ea125a1d-556c-4382-9083-cccd0cdee965",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Calculate rolling mean of climate saliency\n",
    "partys = partys.sort_values([\"date\",\"party\"])\n",
    "rollingdf = pd.DataFrame(partys.set_index(\"date\").groupby(\"party\")[\"saliency\"].rolling(30).mean()).reset_index()\n",
    "rollingdf = rollingdf[~rollingdf[\"saliency\"].isna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 361,
   "id": "66ad995e-9287-4de0-9478-550e2315802e",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>party</th>\n",
       "      <th>date</th>\n",
       "      <th>saliency</th>\n",
       "      <th>saliency_sum</th>\n",
       "      <th>relative_saliency</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>AfD</td>\n",
       "      <td>2018-05-15</td>\n",
       "      <td>0.011648</td>\n",
       "      <td>0.101030</td>\n",
       "      <td>0.115288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>AfD</td>\n",
       "      <td>2018-05-16</td>\n",
       "      <td>0.011792</td>\n",
       "      <td>0.127431</td>\n",
       "      <td>0.092535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>AfD</td>\n",
       "      <td>2018-05-17</td>\n",
       "      <td>0.010558</td>\n",
       "      <td>0.122912</td>\n",
       "      <td>0.085896</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   party        date  saliency  saliency_sum  relative_saliency\n",
       "29   AfD  2018-05-15  0.011648      0.101030           0.115288\n",
       "30   AfD  2018-05-16  0.011792      0.127431           0.092535\n",
       "31   AfD  2018-05-17  0.010558      0.122912           0.085896"
      ]
     },
     "execution_count": 361,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate relative saliency (saliency compared of each party as percentage of the total saliency)\n",
    "saliency_sum = rollingdf.groupby(\"date\")[\"saliency\"].sum()\n",
    "rollingdf[\"saliency_sum\"] = rollingdf[\"date\"].map(saliency_sum)\n",
    "rollingdf[\"relative_saliency\"] = rollingdf[\"saliency\"] / rollingdf[\"saliency_sum\"]\n",
    "rollingdf.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 390,
   "id": "bf9368a1-183c-44d6-b372-e423f7be2868",
   "metadata": {},
   "outputs": [
    {
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UCr7F04bK2SE8o+zItvlCgjxYvsifL6s27hWvzSVf8RnD45rFI88OUsrp//1JvIyMZ7o1FjNWnF2Lo/HXZ+Qs+fml5HhJmVxXqcs+2S7P0GIBx7NeRr7RXlbL11KxfjcRy5bUs2NTObOH+75diDX7zz1etnXu4jXatfq/WWMOPwTwIgiAAAiAAAiAAAiAAAiAQJoEMo14UW44Tv74G3176gyxMDguZj7wrAiehj9+WBf59Jv//sGmvXLJy9V/b+wTxBPqW7cjbU+yXS01evKFnlSvZhWa+nbvZPDfGDVHLjnYsWqSTbzw0/+u7RrbjvtQ3NTyU3GewcKzA/gGvJmY+fCOWI7hrHAeFh/Rd87FwoXPPynky9bl7zo8hRMK81KklDflvPMTz2bgpR+8fMYd8aLc7PIyrjy5sjtszx3xwksnurRrZDu/vrhh5hwn9rvr8A36FTFrgJdScOFlJIvEDA6ewXJTxCdRxIlvrO9Fxdh2mHIkXtyJj6ML4evY8+nXtuVKyjFvTVpCLDq+/HiBTNbsDltPxYurcXFeLJNrK5b+ZM8aKuUXL6kp82gxhzM87K+VxUuhArmJZZt9ef6VQVReiLQ5E/rLJXG8xI2XovR57cGMLp7pwTOsRg3o4HAMKO+ZlOOd+/nCq8PkeR1aNnArpopgWDXnLXqqYhlbeynFC/9g4cptYibMJ/L9xHKMl/SNePd9+vSjWU7HK4+PF+tWo4kjuye7lkFj58vlPke2zSPlvcLSVFm6xTN+KoqZJTwD6/SZv4iXXoUN7SxnbNmX6i/1kZKU32fOrsURRHfFCy9N40TiXHgmGgsjZQc2pV7uA+/IxsuNeNkVz5DiZYn2ZZX4HJy6YL28Xp7phwICIAACIAACIAACIAACIJAxAplKvKRExDNJJs1dI7eDVvI18BNzFi+c06JezSflU3++eWnfd4Jb4oVzi1Ss1418fLLIp972hXOX8DIYvkFXZryMGtBRLiNSir144an/XFfnNi+mmWRVuXn7ZN1UcdOch+qIm+J+XVrQqy3qORwVSv6WY7sXJduF6er1W1S39UC5lIdnA7gjXpS60tpJxh3xkpIDi5dnxI38hOFdbdfA4uWykGH8xD8xUSzpeeNdOieWuLwjlkuVK1NCzobhZVfTFm5wKl54FoQ78XEEjq+DBQtLJvvCy5t4+QbPUnKXrSfiRRljrsYFj1vO03JY5Ai6KP7MS0i6CrnFsx8cLbHha2LxwjPA7Gdh8etNXntLbr/Osz248IyXz74+RfvWTyOeEcazflLOmLBnpIgXFohthdRTCs/geK7lm/L91u3Vl9yKqTLeU848ciReeLZO/TZDpADhLZd5DPFMMvtZKPb9VMbH62InL15uaF84SfcO8Vlxct8S+TJfMy/nmTXuDZtoUWbufHX8J7lEkGfXZRGfBfaFE+hyvhyWWM6uxdH4c1e82HNRxAvLIGXJGdctxctLQryIXbM6vjGRWEgzF/uSJN5jzIMFbulH/pvh5fBDBS+CAAiAAAiAAAiAAAiAAAg4JZApxAvPjOBUDo5ylLB8eaZJX5kLg2/+HiwPqCBzGyiFb0r45kSZwu9qxkvVRr1EHRVlfo6UhWemlChW0C3xwjNe+Ol7w+eqJutPyjqVJRWvNK0rZiU8TAPfmS+f8PNSG0dFuUHlJJ6c00Upv/55njg5KOd9aSNyZ7gjXpQZHnvFDbj9kh/7drUQL8pW1/bLKrhNTgjM8kO5NkczXtyJjyNufB28fe9JIVjsxQXPoODlX19sn0fusvVEvHDM3BkX9tfAM602fnxY9i8lM/vjWLzwEq8l0x8IFqXUfnmAnF2iCAuFP8864SS//B5xlFRXOV95z/BSJV7moxTuV6MOI2Ry6GqVysplc65imh7xwu1wbpSbt+8I0TGA+DremzzIaVJdPp5nE/F7zn7pG7/+5tvzRCLs3+V7iwvPCJkrxhrPCOF8KPtEjhVefsXSlbewb9MrTM4oqf1MxVTDiWffcJ4cM4iXvm/Nkom77XP22HeYx5s7SckdftjgRRAAARAAARAAARAAARAAAfJ68XL77j2qK3YPqiGSSM4VT5hTPulX5MLoNzuJGSLPU+UG3enVl+vTCLun3UpuD3fFS4+h02WeDM5PYt8eJyAtKGbE8MwMd2a8sHjhXXk4z8K+9dPlDR2XL0XS2+nvfSifmPNNMhdeUrFbbIv9eKmHZP2Okuoq453zfHTq/59IUl5fJ3ZfmThntcwn85ioxx3xwksvOCeGklxWqYtvUouJ2QC8hEgL8aLIsHkT36Tna1SWzcplY0Ic/Xn2EikiSBEvSn4ePs6d+Dj6bFDGQcrktDwbJL+YTcJLvdxl6454aSNEmjLrImWOF1fjgsf93btCKqbYtYeXndQUYtHZ0jUWL3ci79Hhj2bb8hMpiXFZJCpLi5gPL3Hj3W94l6A3e7RKMwmrIl44mav9DT5v5c6JlHmHIh7fLDhdxdSVeEk5k4uXonURuZL6dm5BO8SOSM6S6iox5xxA/F7lHE3Ke47lJu8gxMuteCxx4dk6PEOMZRTnFeLk1yxvucSKHZtqCIn7cqOaYhlVx2TDiZPwcpJi/mxIr3jhGTxKvidnOV7SO+OF80pxUuIDG2fK5Y1K4RlwgWIHJN4tDAUEQAAEQAAEQAAEQAAEQCDjBLxevDAaZVYG70bSQtwIFcqfR+QCuU8/ijwM/NSa82Dw8hWeIcISgbeRni+SsfLfN4lZAnfFbkObPj4kk53yziCc44JvwpS8CSlvillG8I1xq8bPCYlTT+5AwjsaTXtvAw0XU/t5CZC74kXZYYV3PeLzOPkv3+TxDZL9DANlSUUSJdEakeTV2a41ylDh6/xLCIpxIrdNmUeKiSS0f8vdkp4QS3aUG2N3xAvv4sM3y3+fvyxvMPlGfLfIg8JJRheFD5a7pmghXniXl3pilxzerSVMJCvmmUucILRwgbxyC1/Or8OJkFmAsUzg/CEtG9eSu/Wc+vkPl/FxJl72Hj4mEqwWETMZ2ooY5JS7Gi1dt4t4O2yOERd32LoSLzy+eNkYzwThpUVffHM62a5GrsYFz2yZL26mWSBWE1tsc+FZOTx2pr/TR+YwcVQ438p9IQ2qViojt0/mmWKcs4a3UP5Y5CZSRB+fy9KAdxcKDQ6iw3a7ajmqV5EE+fPmpPZCbHJelCvXImj0lKVS8PAyJfm+ciOmLHp4956US4048TFz5WU1LA7tE8Vy7iIe7zzjxllSXaXfyo5RPF5eF8v8eLtq3jFpl1jGtmrOKLEzUCnbJfYaPkOMsTtym/GdH0yWO5YphZPW8o5og3u1oeeeqUSxcXHy84STE3OeorJiN7H0iBfezpx3aFssdiPKLfIp+YldoOy3k3ZUlztLjZRdjTi2g3u9ImfinBHLx3is8Aw6Z8uyMv5rB2eCAAiAAAiAAAiAAAiAQOYikCnEC4f0c5GPYuOOw/IGiW/GOf8K32jUEVtGc1JX5anu3+cuE+dyYCnD4qXFizWpv9j9g/OG8HayfHPNW0SnJV64Pb55WyBmofz8699yRPHyonZiRo2SaNNd8cLnHjxyghat3iGWA5wXkihE9nlwzzZy+1f7wrLnjpjlYL8TkLPhzOJiltg96aBIIsx9YZHDyyv4xlTZatsd8cL18+yKGSI3zqdfnKR74uaZn+b3fb0F1atVRTavhXhRYspxOSdEGS9z6tmxidymmGc38PbYLII4rwff3PPMihzZQ2nrsnclN1fxccSNr+Pot6flbCKWEbzcJpdIOtqxVUORn+S/BMnusHUlXjbuOCR36OGba5Y6nNyZb7ztl4elNS5YiLEs2LbnC5mjyMfHhx4qWkDmE2ImzgqPax5ffOwHH+2ja2LWw0Ni7LJo4iV49oVzlVQVu09xImZlxxxn9SrihZPocmJalgTRIhFyZRZnIv9K8SIF5Kn8PnUV0xAhehyJFx6HvcR27L+IJXMsRzjfilIWrtpOi8V76OAm50l17fvOy6dYmnBdvDyQ895w3qSnqzye7BI5pxAvNWPRyTOhUhaWgOvFTDJeUhUYGCCT3vLnh5IUOD3i5QchDAeNXSBnJL3+yovUuulzqogX7vO5i1dp1uJN8n3BAix/3lxSzvXr8jKWGTl9t+AHIAACIAACIAACIAACIOAegUwjXtzDYd2jeHeYJp1G0niRjJaXPKCoTyClLFG/BWvVyNJh1OQltHtNuNP8PsoVpcyLpOeV8hK0VmI7eJYjaS3B07NPaAsEQAAEQAAEQAAEQAAEQCDzEIB4sXis+Yb2n/NXRG6WNRQk8jFseG+sLS+FxS/NdN2HeHkQEl6y85OYycVL01qJnXHs8yE5C5oR4oVnCV28cp14yc9X3/0kt3HnZTQoIAACIAACIAACIAACIAACIKAnAYgXPWlr0NbwCYto3+fHxRKIx0SC225iiUBODVpBlUwA4uXBOOCEsveiYqj5CzVE8t/25C+WQ7kqRogXXq7F28WXKFZIbjlun5vFVX/xcxAAARAAARAAARAAARAAARBQiwDEi1okUQ8IgAAIgAAIgAAIgAAIgAAIgAAIgAAIpCAA8YIhAQIgAAIgAAIgAAIgAAIgAAIgAAIgAAIaEYB40QgsqgUBEAABEAABEAABEAABEAABEAABEAABiBeMARAAARAAARAAARAAARAAARAAARAAARDQiADEi0ZgUS0IgAAIgAAIgAAIgAAIgAAIgAAIgAAIQLxgDIAACIAACIAACIAACIAACIAACIAACICARgQgXjQCi2pBAARAAARAAARAAARAAARAAARAAARAAOIFYwAEQAAEQAAEQAAEQAAEQAAEQAAEQAAENCIA8aIRWFQLAiAAAiAAAiAAAiAAAiAAAiAAAiAAAhAvGAMgAAIgAAIgAAIgAAIgAAIgAAIgAAIgoBEBiBeNwKJaEAABEAABEAABEAABEAABEAABEAABEIB4wRgAARAAARAAARAAARAAARAAARAAARAAAY0IQLxoBBbVggAIgAAIgAAIgAAIgAAIgAAIgAAIgADEC8YACIAACIAACIAACIAACIAACIAACIAACGhEAOJFI7CoFgRAAARAAARAAARAAARAAARAAARAAAQgXjAGQAAEQAAEQAAEQAAEQAAEQAAEQAAEQEAjAhAvGoFFtSAAAiAAAiAAAiAAAiAAAiAAAiAAAiAA8YIxAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIaEYB40QgsqgUBEAABEAABEAABEAABEAABEAABEAABiBeMARAAARAAARAAARAAARAAARAAARAAARDQiADEi0ZgUS0IgAAIgAAIgAAIgAAIgAAIgAAIgAAIQLxgDIAACIAACIAACIAACIAACIAACIAACICARgQgXjQCi2pBAARAAARAAARAAARAAARAAARAAARAAOIFYwAEQAAEQAAEQAAEQAAEQAAEQAAEQAAENCIA8aIRWFQLAiAAAiAAAiAAAiAAAiAAAiAAAiAAAhAvGAMgAAIgAAIgAAIgAAIgAAIgAAIgAAIgoBEBiBeNwKJaEAABEAABEAABEAABEAABEAABEAABEIB4wRgAARAAARAAARAAARAAARAAARAAARAAAY0IQLxoBBbVggAIgAAIgAAIgAAIgAAIgAAIgAAIgADEC8YACIAACIAACIAACIAACIAACIAACIAACGhEAOJFI7CoFgRAAARAAARAAARAAARAAARAAARAAAQgXjAGQAAEQAAEQAAEQAAEQAAEQAAEQAAEQEAjAhAvGoFFtSAAAiAAAiAAAiAAAiAAAiAAAiAAAiAA8YIxAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIaEYB40QgsqgUBEAABEAABEAABEAABEAABEAABEAABiBeMARAAARAAARAAARAAARAAARAAARAAARDQiADEi0ZgUS0IgAAIgAAIgAAIgAAIgAAIgAAIgAAIQLxgDIAACIAACIAACIAACIAACLmQeSsAACAASURBVIAACIAACICARgQgXjQCi2pBAARAAARAAARAAARAAARAAARAAARAAOIFYwAEQAAEQAAEQAAEQAAEQAAEQAAEQAAENCIA8aIRWFQLAiAAAiAAAiAAAiAAAiAAAiAAAiAAAhAvGAMgAAIgAAIgAAIgAAIgAAIgAAIgAAIgoBGBTC1ezl64SqMmL6H//fYPFSmYl8YP70qVnijpEPXOA1/RuBkr6d0R3emFOlU1CgeqBQEQAAEQAAEQAAEQAAEQAAEQAAEQ8CYCmVq8dOo/kWpULU/d2r9En331PU2au4b2rp9O/n6+yWK8cuMn9N2pX+jajVvUpV1jiBdvegfgWkAABEAABEAABEAABEAABEAABEBAQwKZVrzcuHmHXmw/jL7auZD8fB+IltY9xtKIfq9S1UplkyE/8/tZKvNoMeo+ZBq1aVYX4kXDAYmqQQAEQAAEQAAEQAAEQAAEQAAEQMCbCGRa8XLi9G80fuYq2rbiXVs8h45/j6pXeYxeaVLHYYy7DZ4K8eJNox/XAgIgAAIgAAIgAAIgAAIgAAIgAAIaE8i04uXL4z/SnCWb6cP3x9oQj56ylEqLmS2vv/ICxIvGAw/VgwAIgAAIgAAIgAAIgAAIgAAIgEBmIJBpxcvJH3+jMeHLaNfqKbY4D3h7LtWqXiFdM14u3og2xTgJCfSlAH9fuhUZa4r+oBPmJFAgVxBdv32fEhKTzNlB9MowAjmzBlBsXAJF3U8wrA9o2NwEfHyyUP4cgXT5Zoy5O4reGUJADA/KnyuYLkeY43uRIRDQqEsCOUL9KS4hiaJi4l0eiwMyF4GgAF/i+5mIu95xL1M4T3DmCiCu1iWBTCtebt6+S/XbDKGjO+ZTUGCABPVSp5E0QexsVKV8aYfgHC01gnhxOcZwgIkIQLyYKBgm6wrEi8kCYsLuQLyYMCgm6hLEi4mCYeKuQLyYODgGdw3ixeAAoHnNCWRa8cJkuw2ZSk9WKEM9OjShvYeP0Zylm2nP2nCZbJe3j366yuOUN3cOWxAgXjQfj2hAYwIQLxoDtnD1EC8WDp5OXYd40Qm0RZuBeLFo4HTuNsSLzsAt1BzEi4WCha5miECmFi+XrtygERPfp59++ZuKFc5PE0d2pyfKlJAga788gGaPf0POfuHdjn7/+wLFxyeQr48PZRHfLsJH9xS7G1UjzHjJ0LjDSQYRgHgxCLwFmoV4sUCQDO4ixIvBATB58xAvJg+QSboH8WKSQJiwGxAvJgwKuqQqgUwtXtQgCfGiBkXUoRcBiBe9SFuvHYgX68VM7x5DvOhN3FrtQbxYK15G9RbixSjy5m8X4sX8MUIPPSMA8eIZP8x48ZAfTteXAMSLvryt1BrEi5WiZUxfIV6M4W6VViFerBIpY/sJ8WIsfzO3DvFi5uigb2oQgHjxkCJmvHgIEKfrSgDiRVfclmoM4sVS4TKksxAvhmC3TKMQL5YJlaEdhXgxFL+pG4d4MXV40DkVCEC8eAgR4sVDgDhdVwIQL7ritlRjEC+WCpchnYV4MQS7ZRqFeLFMqAztKMSLofhN3TjEi6nDg86pQADixUOIEC8eAsTpuhKAeNEVt6Uag3ixVLgM6SzEiyHYLdMoxItlQmVoRyFeDMVv6sYhXvQPzx9i85jL125Sjarl9G88E7YI8eJh0CFePASI03UlAPGiK25LNQbxYqlwGdJZiBdDsFumUYgXy4TK0I5CvBiK39SNQ7zoF56kpCQS/6N5y7dQbGwcDevbTr/GM3FLEC8eBh/ixUOAOF1XAhAvuuK2VGMQL5YKlyGdhXgxBLtlGoV4sUyoDO0oxIuh+E3dOMRL2uG5efsu1Wzen8JH96KVGz+hq9dvUoliBWnSWz2oaKF88uTTZ/6i8Pnr6Mzv/1BQYCDVq1WFRg/oSAEB/vTp0ZM0beF6at2kDs1fsZWaN6xBm3d/Rj5ZfChf3pzUqG51OnH6V1q7YIytI8dP/ULdh06jz7fOpexZQ0w9fqzQOYgXD6ME8eIhQJyuKwGIF11xW6oxiBdLhcuQzkK8GILdMo1CvFgmVIZ2FOLFUPymbhziJe3w3ImMomea9KWnqzxO8ya+KcRKAI2YuIjOX7pO6xe+LWawJFH9NkOoUb3q1K/zy3Tj5m3qIaRJm6Z1qUu7RnTkmx9o2IRF9GKdatTrtWaUN1d2Ghy2gIoXKSBnvPzxz0Vq9voo+mTdVCpWOL/szKS5a+nKtQiaM6G/qceOVToH8eJhpCBePASI03UlAPGiK25LNQbxYqlwGdJZiBdDsFumUYgXy4TK0I5CvBiK39SNQ7y4J16mv9OHGj1fXR7MM1Q69Z9ER7fPp5w5slLErbuUNSRIznDhMnHOavnajLF9hXg5Tb1HzKD9G6ZT4YJ55c/7j55jEy/893a9x1HtZypR39ebS5FTr81gGiVmzNSv9aSpx45VOgfx4mGkIF48BIjTdSUA8aIrbks1BvFiqXAZ0lmIF0OwW6ZRiBfLhMrQjkK8GIrf1I1DvLgnXja+H0ZPlCkhD75w+To1bDeUtiybQGUeLSaXE63YsJsuXY2QP79z9x5Vr/yYnCHD4uWNUbPp1MFltoZSipcN2z+lDzbtpd1rwumHn/+gXsNnyGVG/v5+ph47VukcxIuHkYJ48RAgTteVAMSLrrgt1RjEi6XCZUhnIV4MwW6ZRiFeLBMqQzsK8WIoflM3DvHinnjZ8N47VP6xR+TBZy9cpUYdhtOu1VPkDJUWXcbQ+OFdqWmDZ4l/Z4cvWE/nL161iZdBY+fR8U8WOxUvt4Woea7lm7Rm/mj65NAxuncvmsYO6WzqcWOlzkG8eBgtiBcPAeJ0XQlAvOiK21KNQbxYKlyGdBbixRDslmkU4sUyoTK0oxAvhuI3deMQL+6Jl/AxvahJ/WfkwV+f+Jm6DZ5K3+5ZRAeOfEezFm+iQx/NtlX02oBJlCNbqNvihU/kvC+crHfv4W9p8qgeVKV8aVOPGyt1DuLFw2hBvHgIEKfrSgDiRVfclmoM4sVS4TKksxAvhmC3TKMQL5YJlaEdhXgxFL+pG4d4cU+8sAiZKuRLNrHL0NDx71FiYiItnjaUjp08I5Ppblk2XibHXbhqO31x7DT5+frQhkVj5VKjlDNe+Py4uHgaP6wrZc8WQlmyZKHPvz4lk/BmF8Jm3/pp8jUUdQhAvHjIEeLFQ4A4XVcCEC+64rZUYxAvlgqXIZ2FeDEEu2UahXixTKgM7SjEi6H4Td04xIt74mXiyO608sNPxG5GV0Wul4dpyqieVKhAHnny+Fkf0K4DX1FIcCB1aNmAalYrT10Hh9NTFcvQK03qphIvimThHZIOfDhD5nJJSEikuq0Him2nn6MB3VqZesxYrXMQLx5GDOLFQ4A4XVcCEC+64rZUYxAvlgqXIZ2FeDEEu2UahXixTKgM7SjEi6H4Td04xIt74mXbinep1MNFNYvljZt3qEHbIbR95UTbttKaNZbJKoZ48TDgEC8eAsTpuhKAeNEVt6Uag3ixVLgM6SzEiyHYLdMoxItlQmVoRyFeDMVv6sYhXowVL/EJCXTrdiS9M205hYotqae93cfU48WKnYN48TBqEC8eAsTpuhKAeNEVt6Uag3ixVLgM6SzEiyHYLdMoxItlQmVoRyFeDMVv6sYhXowVL5wPhrebfrJCGZoZ1o9yZA819XixYucgXjyMGsSLhwBxuq4EIF50xW2pxiBeLBUuQzoL8WIIdss0CvFimVAZ2lGIF0Pxm7pxiBdThwedU4EAxIuHECFePASI03UlAPGiK25LNQbxYqlwGdJZiBdDsFumUYgXy4TK0I5CvBiK39SNQ7yYOjzonAoEIF48hAjx4iFAnK4rAYgXXXFbqjGIF0uFy5DOQrwYgt0yjUK8WCZUhnYU4sVQ/KZuHOLF1OFB51QgAPHiIUSIFw8B4nRdCUC86IrbUo1BvFgqXIZ0FuLFEOyWaRTixTKhMrSjEC+G4jd14xAvpg4POqcCAYgXDyFCvHgIEKfrSgDiRVfclmoM4sVS4TKksxAvhmC3TKMQL5YJlaEdhXgxFL+pG4d4MXV40DkVCEC8eAgR4sVDgDhdVwIQL7ritlRjEC+WCpchnYV4MQS7ZRqFeLFMqAztKMSLofhN3TjEi6nDg86pQADixUOIEC8eAsTpuhKAeNEVt6Uag3ixVLgM6SzEiyHYLdMoxItlQmVoRyFeDMVv6sYhXkwdHnROBQIQLx5ChHjxECBO15UAxIuuuC3VGMSLpcJlSGchXgzBbplGIV4sEypDOwrxYih+UzcO8WLq8LjVufZ9J1DM/VjasmxCsuPHz/qAdu7/kqaM6kmnz/xFS9ftJF9fX8qSJQsVLpCHXqr3NPXo0IT8/f3caseqB0G8eBg5iBcPAeJ0XQlAvOiK21KNQbxYKlyGdBbixRDslmkU4sUyoTK0oxAvhuI3deMQL6YOj8vO/f7XBQpfsJ6CAv2pW/uXqNITJW3nPNu0H62c8xaVfqQozVm6ma5H3KYJw7tSbGwcnfn9LE2ev45yZAulReGDXbZj5QMgXjyMHsSLhwBxuq4EIF50xW2pxiBeLBUuQzoL8WIIdss0CvFimVAZ2lGIF0Pxm7pxiBdTh8dl56a9t4FKlihCAQH+dPzULzR28OvynP5j5tKhoyfpoaIFaFifdnTq5z9s4kWp9Pade9Sow3CaGdaPnn7ycZdtWfWATCFelqzdSas27qX4hARqLKYyjR7QUUxv8kkVM2fHsYkbP3MVRdy6KyxeAA3p3YZqVa8gz4d4serQz5z9hnjJnHF356ohXtyhlLmPgXjJ3PF3dfUQL64I4edMAOIF48AZAYgX98fG6WiiuCT3j1fryCohjmtKSEikxh1H0Oal4+USoqavjaTda8KlhOFS/aU+tH3lRCqYL3eyGS/2tQ0OW0gPFy9I/bu2VKu7pqvH68XL19/9TGOmLqNVYnoTT2HqM3KWkC/V6dUW9ZIFI63jmnUeTb07NZPnsYR5bcAkOrx5NoUEB0G8mG5Io0NpEYB4wfhwRgDiBWPDFQGIF1eEMvfPIV4yd/zdvXqIF3dJZb7jIF7cj3nfv4luJbh/vFpHLixBlNM3dW2ff32Ktu89SjPG9pU/fGvSEqpbozI1fO4pt8XLFLHcKDExiUYN6KBWd01Xj9eLF07mUyh/bpmwh8uhL0/K2S8rZ49MFgxnx62YNYIq1OtKn2+dS7lyZJPnPNusH62eN5oefagwxIvphjQ6BPGCMZARAhAvGaGWuc6BeMlc8U7v1UK8pJdY5jwe4iVzxt2dq4Z4cYfSg2Peu0p0zwDx0qcAUWjqRSM0OGwBsXzh2S5cEsQqk+pVHqcFkwa6LV64jrIli1PPjk3dB2GxI71evHQbMpXaNX+eGtR+YNz+OnuJugwKlzNW7Etax3UbPJUaCGPH9Zw4/SuNnLiYdonpU/5+vhAvFhvwmb27mPGS2UeA8+uHeMHYcEUA4sUVocz9c4iXzB1/d68e4sVdUpnvOIgXa8b8TmQUNe4wgg59NMu2KxGn93i+9SDatmIi5c6ZzeVSo5u379ILrw6jFbNG0hNlSlgThBu99nrx0qHfu9SrU1Oq/XRFiePi5evUousYOrZ7UTI8aR33yx/nhKyZIre8ioq+T9Pf7kP1alWR59+NjncDs/aH+PtmkXlrYmIN0J/aXx5aUIlA1iA/irofT2ImHwoIJCPAX3h4jW5cAgYHhoZjAuJXIIUG+lFkjOPfe0lJSfL3JErmJMCRDw0W48Mk34syZxTMf9VB/j7Ev2bi4hPN31n0UFcCfuJexl/cy0R7yb1MNvF5mBnKhu2f0rffn7EtM1KumZcbsUTp2KqBU/HC3xt+E7shjZuxkgoXzEPTxD22NxevFy/dh06jlo1qy/wsXFii9Bo+I9WMF2fH7V0/jZq89pbMzFyzWnn6k2fMDJwilhqNouJFCtDdqDhTjA9/Px/yFY+bIF5MEQ7TdoK/FEfFJBB/0KGAgD0BKV6EkcOXYYwLZwRYqoQG+Tq9sRbaRfyDz5bMOoKkmAvyF+PDHN+LMmsczH7dgeJ3DedxwO8as0dK//75Ceni75eFou97x0PkbCEPEst6e2nXZzy91voF2722cr0Hj5ygRat30KbFYanEy9J1O23LkvLlyUnNG9ag3q83I79/lyp5KzOvFy8T56ymnNmzUr8uL8sY7j74DW3e9Rktmzk8WUydHTe0T1vqPWImfbZlju14ljTNGj4r/q2BpUbe+s7w0uvCUiMvDawKl4WlRipA9PIqsNTIywPs4eVhqZGHADPJ6VhqlEkCnYHLxFKjDEDDKZYi4PXihXOyDJ+wiD6YO4pCQ4Op59Dp1KZZXWr1Um365uT/5E5HnMjH2XGc26XeK4No2YzhVOHxR+najVv0cte3acn0ofRYqYcgXiw13NFZiBeMAWcEIF4wNlwRgHhxRShz/xziJXPH392rh3hxl1TmOw7iJfPFPLNdsdeLFw7oqk17aenanWJaYwK1eLEmjej3qlyHPmTcQir1cFHq/VozGXdnx3321Smx5/hHMr8L51Hp1LqhTLTL5eINsZG6CUpIoC8F+PvSrchYE/QGXTArAYgXs0bG+H5BvBgfA7P3AOLF7BEytn8QL8byt0rrEC9WiZT+/YR40Z85WtSXQKYQL1oihXjRki7qVpsAxIvaRL2nPogX74mlVlcC8aIVWe+oF+LFO+Ko9VVAvGhN2Lr1Q7xYN3bouXsEIF7c4+T0KIgXDwHidF0JQLzoittSjUG8WCpchnQW4sUQ7JZpFOLFMqEytKMQL4biN3XjEC+mDg86pwIBiBcPIUK8eAgQp+tKAOJFV9yWagzixVLhMqSzEC+GYLdMoxAvlgmVoR2FeDEUv6kbh3gxdXjQORUIQLx4CBHixUOAOF1XAhAvuuK2VGMQL5YKlyGdhXgxBLtlGoV4sUyoDO0oxIuh+E3dOMSLqcODzqlAAOLFQ4gQLx4CxOm6EoB40RW3pRqDeLFUuAzpLMSLIdgt0yjEi2VCZWhHIV4MxW/qxiFeTB0edE4FAhAvHkKEePEQIE7XlQDEi664LdUYxIulwmVIZyFeDMFumUYhXiwTKkM7CvFiKH5TNw7xYurwoHMqEIB48RAixIuHAHG6rgQgXnTFbanGIF4sFS5DOgvxYgh2yzQK8WKZUBnaUYgXQ/GbunGIF1OHB51TgQDEi4cQIV48BIjTdSUA8aIrbks1BvFiqXAZ0lmIF0OwW6ZRiBfLhMrQjkK8GIrf1I1DvJg6PGl2LikpiVZt3EsbPz5EFy9fp1w5s1GD2lVpYI/WFBIcSF8d/4m6D51G/v5+sp6c2bNSreoVaEC3lpQvT0752ruzV1NggD8N69suWVv12w6hqWN6UZXypa0L6N+eQ7x4GEKIFw8B4nRdCUC86IrbUo1BvFgqXIZ0FuLFEOyWaRTixTKhMrSjEC+G4jd14xAvpg5Pmp2bvuhD2v/ZcRo3tAtVePwRunztJk1dsI7i4hNo2YzhUryMm7mKPlk3lRITk+j8pav0/uqP6ZsTP9NHS8ZTzhxZIV6sG379eg7xoh9rtOQ5AYgXzxl6aw0QL94aWfWuC+JFPZbeWBPEizdGVf1rgnhRn6m31AjxYs1I3rh5h+q9MojWLBhD5co8bLuIe1ExtHP/l9Typefo+PdnbOLF/io7D5wiZrKUEjNfWkG8WDP8+vYa4kVf3mjNMwIQL57x8+azIV68ObrqXBvEizocvbUWiBdvjay61wXxoi5Pb6oN4sX9aB44cIBiYmLcP0GlI5s0aZKqpk+PnqTJ89bS/g3TnbZiP+PF/qAN2z+lXQe+ptXzRkG8qBQjr64G4sWrw+t1Fwfx4nUhVe2CIF5UQ+m1FUG8eG1oVbkwiBdVMHp9JRAvXh/iDF8gxIv76IoUKUIXL150/wSVjuQ2CxUqlKy27XuP0vptB2nDe++kW7x8+sUJmrd8C21d/i7Ei0ox8upqIF68Orxed3EQL14XUtUuCOJFNZReWxHEi9eGVpULg3hRBaPXVwLx4vUhzvAFQry4j65z584UERHh/gkqHblq1SrKlStXsto+//oUjZ2+gg59NDvd4oWFzUEhX5ZOH0aT5q4hHx8fGvlG+2T11Gk1kOZM6E8VH39Upaswrhok1/WQPcSLhwBxuq4EIF50xW2pxiBeLBUuQzoL8WIIdss0CvFimVAZ2lGIF0Pxm7pxiBdTh8dp5+5ERlGt5v1piZAn1SqXtR13PzaOpoglSMP6vkqnfvrdYY6Xjm9MpPq1nqTObV+kpet20YnTv9LCyYNsddy+c49qNH+DDm6cSQXyJRc+VqQF8eJh1CBePASI03UlAPGiK25LNQbxYqlwGdJZiBdDsFumUYgXy4TK0I5CvBiK39SNQ7yYOjxpdo6XC3208zO5q1HVSmXp2o1bNGX+WrE9dICcrZIyx8vV67dowcqtdOzk/2jz0glyy+kLYhvqFl3G0NuDOlHD56rSzduRNGnOakpITEwmY6xLiQjixcPoQbx4CBCn60oA4kVX3JZqDOLFUuEypLMQL4Zgt0yjEC+WCZWhHYV4MRS/qRuHeDF1eFx2bt1WkedFLB06d+ka5c6RjZo2fJb6dW5B/v5+Urx0HzpN/pmSkig0NJhqV69IQ3q3oby5c9jq/u6HX4m3pj7z+1kpY3g2zNDebSlb1hCX7VvhAIgXD6ME8eIhQJyuKwGIF11xW6oxiBdLhcuQzkK8GILdMo1CvFgmVIZ2FOLFUPymbhzixdThQedUIADx4iFEiBcPAeJ0XQlAvOiK21KNQbxYKlyGdBbixRDslmkU4sUyoTK0oxAvhuI3deMQL6YODzqnAgGIFw8hQrx4CBCn60oA4kVX3JZqDOLFUuEypLMQL4Zgt0yjEC+WCZWhHYV4MRS/qRuHeDF1eNA5FQhAvHgIEeLFQ4A4XVcCEC+64rZUYxAvlgqXIZ2FeDEEu2UahXixTKgM7SjEi6H4Td04xIupw4POqUAA4sVDiBAvHgLE6boSgHjRFbelGoN4sVS4UnU2LimOlkTMowrBVahmSB1NLgbiRROsXlMpxIvXhFLTC4F40RSvpSuHeLF0+NB5NwhAvLgBKa1DIF48BIjTdSUA8aIrbks1BvFiqXCl6uwPMSdpyY258vVWOdpTnawNVL8giBfVkXpVhRAvXhVOzS4G4kUztJavGOLF8iHEBbggAPHi4RCBePEQIE7XlQDEi664LdUYxIulwpWqs99EH6U1EUttr/fIM4AqBFVW9aIgXlTF6XWVQbx4XUg1uSCIF02wekWlEC9eEUZcRBoEIF48HB4QLx4CxOm6EoB40RW3pRqDeLFUuFJ1ds+dbbT77nbK45uXbiRcp2CfEBqQdwQV9S+u2oVBvKiG0isrgnjxyrCqflEQL6oj9ZoKIV68JpS4ECcENBEvdyKjKHvWkEwBHeIlU4TZay4S4sVrQqn6hUC8qI5U1wq33F5PhyL3UUuxzOimEC/8Z5Yw/YV8yeOXV5W+QLyogtFrK4F48drQqnphEC+q4vSqyiBevCqcuBgHBDQRL5UadKfnnq5ITRs+K//r7+/ntfAhXrw2tF55YRAvXhlWVS4K4kUVjIZVsubmcvom6gh1zN2dqgfXkIl2f4g+oap8gXgxLLyWaBjixRJhMryTEC+Gh8C0HYB4MW1o0DGVCGgiXo6f+oX2fXacDhw5TjExsfRCnapSwlQuV4qyZMmiUtfNUQ3EiznigF64RwDixT1OmfEoiBdrR33etXD6NfaMXF5UKrAsRSXeo7nXp9GFuH+kfBmeP4xCfEIdXmRSUhLti/yYngisQEUDSjgFAfFi7TGide8hXrQm7B31Q7x4Rxy1uAqIFy2o6lMnf49YtXEvbfz4EF28fJ1y5cxGDWpXpYE9WlNIcKDsxMEjJ2jhqm105dpN+fdyZR+mMQM7UdFC+Wjv4W9p6bpdtGlxWLIOj5q8hIoXKUC9X2umz4Vo3Iom4kXpMwfh9P/+pL2ffUsHPv+OEsXfmzZ4hl5uVIuKFc6v8aX9V/2StTvlYIhPSKDG9Z6m0QM6kq+vT6r2nR0XFxdP42auEjLpW8oaGkxvdm9NzV+oIc+HeNEtjGhIBQIQLypA9NIqIF6sG9iv7x2hA5F76Er8JQorMM22tOhG/HWadz1c5nwp4v+QkDLDpHy5lXiL7idGUwG/QvKilcS8T4ZUp865ejsFAfFi3TGiR88hXvSgbP02IF6sH0OtrgDiRSuy2tc7fdGHtF9Muhg3tAtVePwRuizkytQF6yguPoGWzRguZUyr7u/Q4unDqLwQLrGxcTR7yUd04sffaMN770C8qBmiH3/5i/Ye+lZasMAAf4q8F031alWhMW++RjmyO34Cp1b7X3/3M42ZuoxWzXmLcmQLpT4jZwn5Up1ebVEvWRNpHTd/+Vb6/e8LNHlUT/nfsdOW07qFb1NQYADEi1qBQj26EIB40QWzJRuBeLFk2Ohw5H7afHudrfPhheYnm9liL1+qh9akjjm70fzr0+mX+z/JmTGNsrWg0zEnZE4YTsg7tdACiBdrDgXDew3xYngILNEBiBdLhMmQTkK8GILd40Zv3LxD9V4ZRGsWjKFyZR621XcvKoZ27v+SWr70HH0nVsOMn7WKdq8Jt/38vpAv1yNuU5GCeSFePI3CuYtX6eP9X0ngF6/coOdrVKYWL9akGlXL0607kTQmfBnFCwu2ZPpQT5tK8/zxsz6gQvlzU48OTeRxh748KWe/rJw9Mtl5aR1X75XBtGzmcCpRrGCqtjDjRdPwoXKVCUC8qAzUi6qDeLFeMM/HnRXLicIpOjFKSpME8c+MQotSXYi9fGmcrTl9LbaejhCzYRyVlOLG/hjMeLHeGNGzxxAvetK2blsQL9aNndY9h3hxn/APp36i2Lg4909Q6cinnqqUqqZPj56kyfPW0v4N0522k4bMXAAAIABJREFUwhKm2eujqFK5ktIHVClfmkJDgmzHY6mRBwFq33cCnfr5DzmVqIVYVtTo+epytol9YcNVv+0Q+n7/Ug9acn1qtyFTqV3z58U6s6fkwX+dvURdBoXT4c2zk53s7LgdqyZR7ZcH0NDebWntlv1ixk4ADejWkp6vWUWeD/HiOgY4wjwEIF7MEwuz9QTixWwRSbs/nMNl6tUwuYyobtaGVCO0jjxBWT6U8mx7ScM/yy12Ono6uKbYgnpbskOVHDGOWod4sdYY0bu3EC96E7dmexAv1oybHr2GeHGfcveug+jmzVvun6DSkUuXz6JcuXImq2373qO0fttBuWQorRJx6y59sGkvHf7ye3k/Xr3KYzS4VxsqW7I4Zrx4Ep+Z72+k5sJmPfpQYafV8JqvYyf/J2bAlPOkKZfnduj3LvXq1JRqi92VuPAasxZdx9Cx3cmfCjo7buvyd+nF9sOof9eW1L19Ezp95k/qOWw6fbxqMuXPm5PuRse77IMeB/j7ZpF5a2JiE/RoDm1YlEDWID+Kuh8v8i1Z9ALQbc0I8BeehIREikvA4NAMsooVz700m05EHqfigSVoRJG3KNTX9bLdo3c+pyVXFsteVAl9igYUHkjX4q7Rzls76GzMWfor5g/5s7Ihj1GL3K2obHDZZD3m3PihgX4UGeP49x7ndfO2BPoqhszrq+KtE0KDxfgwyfcirwdu0QsM8vch/jUTF59o0StAt7Ui4CfuZfzFvUy0l9zLZBOfh1qVeXOXUuTde1pV77Te/m92p6xZk3/f+PzrUzR2+go69FHySQ1pdY4lzJrN+2jD9k/p4MZZ9MWxH2jRBzto89LxyU4bPmERlXqkqG3liu4XrHKDmiTX5TVbnBflmacep2efeiBWNu/6nP4+d1kIjJcpQOR50at0HzqNWjaqLfO6cPnlj3PUa/iMVDNenB3HM16eadKXvtn1nkysy6Xb4KnUpllduVvT3Sj9p3k5Yufv50O+4nETxIteI8ua7fCX4qiYBOIbJBQQsCcgxYswcvgybP5xsS1iC22L2EohviE0rui7lM8/n9udHvb3YLoWf40a5nyR2uftYDvvXsI92n97H+27/QlFJUTJ16WAydXSJmBYqoQG+Tq9sRbaRfyDzxa3g+FlB0oxFyTy+EWb43uRl+H1mssJFL9rEvG7xmviqeaF+Anp4u+XhaLve8dD5Gwh+t3vqhmH9NZ1JzKKajXvL9KHDKNqlf97YMM+YIpYgjSs76v059mL5CN+STxeuoSter4XefKFnlK23BV18P35ke3zyM/X13YMJ+Tt0q4RNan/THq7ZcrjNREv74jksz+e+YsmvdVDTh/iclr8fdyMlTLpTtjQzrrBmDhnNeXMnpX6dXlZtrn74DdCAn0mc7bYl7SOY/Gyack4ud0Vl65iqVLHVg3kciMsNdItlJo39OGtD6h04ONUOfjBsjRvLFhq5I1RVeeasNRIHY5a1/Lb/V9EXpcpspkBeUeKBLll0tXk6ZjvafGNOTQ432h6OKBkqnN5CdNnkQfo0L19MncMFyUJbxkxAyZ/jkC6fDMmXW3i4MxBAEuNMkecPb1KLDXylKD3no+lRtaN7bzlW+ijnZ/JXY2qVipL127coinz18oUHXMm9Kctuz+nxWt20uzxb0g3wCtfNn18mN5fvYMObJwpJg/4UMtub0tx06/zy8RLm1dv3k8bdxyiXaunJMsHY11KRJqIFxYVbK8KiyzF9uXshavUrvc4+vJj57smqA3zxOlfiacpfTB3FIWKGSs9h06Xs1VavVSbvhFLnTj3DA+AtI6bNHcNRUXfl8Lo51/+pp7CyO38YDLlzZ0D4kXtgBlUn3Izw3kPxontWL21QLx4a2Q9vy6IF88Zal0DJ8kNvzZWChFOktsoewvNmnQoYILKUodCbShP7H+7FmjWAVRsOQIQL5YLmSEdhngxBLslGoV4sUSYnHZy3VaR50Xkejl36RrlzpGNmjZ8VkiUFuTv/2DJ1RohUj4US4uuiTyv/n6+VK7sIzSo5ytUWiwl4nL5WgTxPfdXx38Wf0uiyuVK0Yg32qeZusRqxDQRL1Ub9aYdKydSoQJ5kvH4UyTSebXPeLlsR8+ySiTyWbp2p7RrnEl5RL9X5Tr0IeMWUqmHi1Lv15rJ7jg7jqc/jZqyVOakyZ0zOw3r0xbJdfUMoA5t8c4gv90/I1uaV2SFDi0a0wTEizHcrdAqxIs2UbqfGEP7I3eL5UAFqHxgpWRbPae3xSkime6FuH/kDBROgqtHSWsGTHpn2+jRX7RhHAGIF+PYW6lliBcrRUvfvkK86MsbrelPQBPxMnLSYrpw6bpIhPMSFRHLc5LEWs4//rkokuZsp8dKPSSXIHlLwVIj60eSbyzCrgy3TatPaztVq18txIvVI6hd/yFeiD66vVbsClSYaoXWVQ30njvbbTsH8ZbPT4fUpPJBVRwuEToZdYx+uv9jsrarh9SQx265vZ4ORe6jPL55aXj+MI8ETkYujj8nP793UCxB2mvLAaMsQYKAyQhR7zsH4sX7YqrFFUG8aEHVO+qEePGOOOIqnBPQRLzwXt2zFm+irXuOUMz9WNl6UGCAXN4zsEdrCgn+b99uqwcH4sXqESRxM7Nf3NSss11IWtupWv1qIV6sHkHt+u/N4uVUzAn6LeZnqhhc1WlOFF7GE3ZlmARcJOAhKh1QRvy3OJX0L0N5xBLEjJRjUV8ImbNeSl2u80LsP7ZqWMLUDW0oJEwlKip+xmJjxKU3HDZTQYiaH8Q18Dn8+VTU/0HuNL0Lr7kOzRpPG8/vdJgDBgJG74iYqz2IF3PFw6y9gXgxa2SM7xfEi/ExQA+0JaCJeFG6zNmKr4t1XFw4H4o3bjMJ8aLtANWjdvtlRtxejzwDqEJQZadN8w1ShLhJi06KpojEGxQhtmPlP8clxVHN0OepiP+DtYpmLBAvZoyKOfrkzeJlrBAq/J7l4myWxg8xJ2nJjbkOg8G5n0oFPCbe28XEf0tLUZJW4c+ILbc30DdCvChtsjBhuXMs6mgyaaH8nKXKD9EnRBsPUd1sDeR5F2LPylkuSmmVoz3VyfrgZ0YUFi9Kcl1nS5CeFjN0qolZPSiZjwDES+aLeUauGOIlI9QyxzkQL5kjzpn5KjUTL2d+P0t/iZwuyowXe8gvN6rlNcwhXqwdSuUpN9/08FNlvlGqm7UhlRQ5FPhnMeIG6nzcOfHfKLpHQrSIbViVnT4cXbnWCS89pQ3x4ilB7z3fm8XL8Ev95PuW3+fK+5eX7Dwn3uvVQ56Vy3aUmW/VQ2qJ12qI9/1Z+l3kffot9kyq9zzXw7NO+F/+rCgpZAzXwYU/N+aJnFE3Eq7L9lrneJXKCZGr/FwZQZzQ+7SYxfK1+Myx/0xpKeRKXTu5EnZ5mKyLP5dairqMLPbiRekHC5hvor4UOyHtk/3kwmwbZ28OAWNksAxoG+LFAOgWbBLixYJB06nLEC86gUYzhhHQRLxMX/QhrfzwEyqQN5ctk7H9FX6ybqphF6x2wxAvahPVtz4l/wLf1ARnCRa5GLa77ADfTOX2y0ehFExB8gasGJ2PPyefVvNNW8dcXV3WYdQBEC9GkTd/u94qXhS5yrNWRuQLSyUJlCU/LA1YvKYUH4pM+T3uF7FcSfwb+z/b7Bn7qHL9wUK+KMuJWD70F7NcXC1TYnFxIe68aPso5fTNSS9lf5myiH+U8uf93+l/sT9S46zNDZ816ki82DPgpVW7RU4bRcA8EVyReuceaP7Bjx6qQgDiRRWMXl8JxIvXhzjDFwjxkmF0ONEiBDQRL8+1fJOWzhgmdwzy9gLxYu0IK0/CB+QdSYFZAmj6tQliKUEZKVT4hollTG7/fJTbJ8+DP4vXUj65ZgK8IxIvWSodUJb653O928iPMd/TmlvLqFrws/JfV0sX1KIM8aIWSe+rx1vFi/Le5BwrI4V4UQrPONlzd5ttNzPldVdLDfk4liW/x/4qZ8TwzBj+137Wihlmp2gxQl2JF6XNwyJv1maRN4s/L8cVmKZFV1CnCQlAvJgwKCbsEsSLCYNiki5BvJgkEOiGZgQ0ES8vdRpJu1ZP0azTZqoY4sVM0XC/L3wzdjPhBq2+uVQuB5haaIH7Jzs4Mr3iZc3N5eIJ9xFbTXrtDqKFeDkUuZc+idxJY/NP0X2nFY+ChpOTEfBW8fJN9FFaE7HU6Wy0lAJmSqH5FPrvsqH0DJHz/ybO5XxP/H72xuKueOFr73+hi0Qwr8gKb0SBa3JAAOLFu4dFIiXKPFjlAitRjax1MnyxEC8ZRuf1J0K8eH2IM/0FaiJewhesp8rlSlHD557yesAQL9YKMT+pXntruVwWpJTG2VpQI5GPwJNiv5zB1RPef2L/onVCvFyMPy9vBn+I+c72tFzrHZXUFi977myzLc9yZ6aAJ4xxrrYEvFW8KNswu8q/xDNWbsRfFbPPSmgL2sK1Q7xYOHg6dB3iRQfIBjahSGzuQpiYyeZqGaWzrkK8GBhEkzcN8WLyAKF7HhPQRLyMnrKU9n12nAoXzEOF8udJtS79vSmDPO64WSqAeDFLJFz3wz7pJedfUPIQhIvZLiFi1osnxX4r2LSe8PJxE66+RZEJd2Vz4eLpOpelEfPlkgd35MWthFsyF0RGiprixV66cF865u5O1YNrZKRbOMcEBLxVvCi7lvFyQmx37NlAS494UXaS8uQGzbPe4my9CUC86E1c3/bsf+dXFzuXdczVLUMdgHjJELZMcRLES6YIc6a+SE3Ey7T3NpCvj49TsIN7tfEa6BAv1gglLydYK5YVsWxRkl5GJt6hu0l35LRZNYo7U+u5H3OvP1iGZ5//QPlC4+ipPAsZ3lnJfoeVjH7pUUu82H8B4+1vL8T9Q65mFKjBGHVoR8AbxYsiRHk5YViBqVgK5+HwyYh44YTGeuWw8vDycLqHBCBePARo8tPtl0jz9yje/S1ILMsM8RW7QgZWlsu23SnuiBdeuuksp547beAYaxKAeLFm3OITEqhivW62DXWCAwOoklj50vf15lT+sUfkRZ29cIU4FcnpT1eQcjx/p0hZls8cQVUrJV+uPWfpZroecZsmDE+9eUnd1gNpxti+VKV8aeLjPti0l3atmUIF8+W2Vd2y29s06a0eVPLhIrKfBzfNtP18x76jtHDldlozfzTlzJFV/tzdfmUkWpqIl4x0xKrnQLyYP3L2kqBCcBXqkLOrJjdgrp7wskA5fG+/XOYU6pONmmZvSTVC60iAyhRe3tK6jthKliXL70LS/Cq2snVWMvIkWQ3xYs+zU67uYnnGNbncCOLF/O+FtHrojeJFeV9xzhVexofiGYH0iJd518Ll55fWyyc9uyKcrSYBiBc1aZqvLuU7Tj7/AnQt7kqyDubyzU3jC85wq9P24oUFS0RihNwNjh8w3Ui8YdsZjkXO02JmTXnxvQizFd1Ca/mDIF6sGUJFpChC49qNW/Tx/i/pvVU76P2pQ4QUKeVQvNgLkLSuPD3i5WMhUiqL9qa93celePn6xM/01qTFtGrOW1S8SAGbEHK3XxmJlibiJTExibbv/YK2ffIFXbh8nQ58OINi7sfSqo17qVv7xuTn65uRvpryHIgXU4bF1iklvwO/oLUYsL/RKCK2mL7w7ywVRwJlWP6xVNy/hK2fSnJe/qJhvzsKH8C7sRT1K0YsjYqI//I1/RBzIkPX46l4SSldqoknXofEDiZbxA4m3rqTi7lHuHq980bxgrGp3vjgmiBe1OXpbbVBvHhbRP+7HvvZum/nn0x/xf9BEXHXxCziCPGQ6H9yNnFas9vsBcuVpAt0VZx77v4/ToGl/C7Ef68Q9CSVCipD5cUsZUe7S3ov/cxzZRAv1ox1SvGiXMXCldvoq+9+otXzRusmXvz9fKV/mDK6lxQ+XBzNeLlzN4p6DZ9O8ya+SeXKPCyPc3YdakZFE/GydN0u2rDtILVt/jzNXvIR/XR4pZwi1HPYdKpRtTwN6Y2lRmoGkesKCfSlAH9fuhUZq3bVlqyP87ksEXlTeAkM/8JuneNVqiaenGhZFPHC02MjRPspiyJQeHpuyl1P7HPE8JbURQKKU0nxlL5kQOlUXzDsJY0ytTdYTPcNpWC5DTb/WY4Jn2C5BTYX3hKbS/ZQfwqMyUEJSUmUW0wVVoo7SfLspUurHO3lzBwurnaN0ZI56laPgDeKF0W8thTjte6/41U9YpmvpvSIF2VZAnI/ZZ5xAvFibKwjE+5QVt/sqnfifNxZsUQ6XD4UcvQAa8mNefJhEH8v4IdOvLOboxksjjrG34v4u4vynYe/s3AdLFZY9pwW9Z4S/6b8TsXfoXgmTIWgyhlO8qs6KFToMQGIF/cRXvr2OiXGJrp/gkpHFqmRP1VNzoTFH/9cpBZdRtOJvUvo0tUbqZYauTuzJD0zXoLEMqcSxQoSu4iN74+VeWZTipf1C9+mweMW0rihXYSXKGe7HsuKlxfbD6cFk96kR0sUoSfqdJbihcu5i1ep4xsT6bMtc1QKv/HVYMaL8TGw78GKm4uosH8R+iry82T5XNwRC55eCcue8GtjbTNWXAmUlO2tubWMsvvkoGbZW7vsypqby8R21F+4PC69B7DIsZc5DbM2pirB1cheuqT84uXuVtr8JWrznfWCzz0qFfAYtczRFk+t0hsgDY/3RvGi3BDg5l+dgZMR8QLppQ57K9QC8WJclHinxK+ijsiZpywxlBKcRfxO//cBjPLaTTE75VHxgMed70X2mxI4m9WqzCxM6+pZsOTxyUNFhVQple0Ryin+nDepiNvAuB8/xJyUIoa/c9iX0oGPUbfc/fB9wm2a5j0Q4sX92GxufpCir993/wSVjmy1vR4F5w1MVpszYXE3MoqebtKXvvx4Ad2+E5lKvPj7+yWrh/OyfLJuaqqepke8BAb4U+/XmtHrb06m5i/UoJaNa6cSL8UK56fomPs0rE87atLgGVt7KXPVKD9w1q+MINVkxkvlhj3o2z2L5JIie/HCy42eadqPTu5bkpG+mvIciBfzhMV+Kiz3ipO+9sj9hltfLtS6iivxl+hOwu1UM1rUqt++Hp4lE50YLV9imcFPmR78GyVfi0qIohjxOheeDswl0S+Gbt8XOyolEV1P/G9WjqMZOnw8z955SWy3vVokJubiLPkvPw1j0dQ/n+M8Gil3QOK6ODlfB5EjBmu3tRgd6a/TG8XLlGth8skrErymfzw4OiM94iWthOHq9Aa1mI0AxIv7EWGRwL+31Uggy3WFXRnmfuPiyAczgduLmcDOdyK0ly5p5cm6LvK8jb86gpLETFp7wcJ/zu2TO1VybXeS66Z1Mfzd5/T97+m3mF+EjPlOPuyCXE9X+E17MMSL+6H58t1TdP9OnPsnqHRkjbcrUkA2/2S1OZ3x8vcFatVjrLzv58kXKZPrajHjRREvZ34/S71HzKSdH0ym1wZMSpZcl3dXzpMrB3UfMpVWzR1FpR8pKq/HsjNeWnV/h3p0aEIv1q1mEy/8gbxk7U65zfRHS8apFH7jq4F4MS4G/MuXhYEiHHgGCCeu9RH/vJitKTXK3sK4zpm0ZVc5Xuxljv3sHWfShV/ntdvh4gaXv2SNFDuY2Bf7JV9KHSXF06k9d7fZnlohN4w5Bou3iRcel3NvTJVfynnbduQE8HycZUS84P3tOXer1ADx4l6keMbGWjFrlfOicFFmmub1yUu5/PKJhxK55fJgnq3C4sKVnOEHH1wnP2wq6v/fbBeum+VOjPgMtC/iMY0tgS0nyHckX/i7wNzr0+Ryba53QN5haX6GJomnOVnEP+4UT8WLfRvKclKtc/i5c104xnMCEC+eMzSiBmfCgtON/PrnOVo4eZBuOV4U8cIcwqavpNDQIDp28ozcESnlrkbrRVoU3gVp4/thlC1riHXFy1fHf6IBb8+jJ8qUoG+/P0PP16gswJ+niFt3aP6kgVS98mNGjAtN2oR40QRrqkoPiwSup4VU4S8M/EXC2QwNPnFsgXDK65d6DaI+PTV3K67Ei33vlZw1ijBxJrKUp23222PzOceECNt9Z7ttyVfK2S32s2Cw60zGxs3JmOP03b2vqFueN9z+0uusJauLF75R+D32VylfeVcw+5uaqYUWZAwwzkpGID3ihZcFLLkxV85se04sf+AtZ4v4FnV5Ewnk1iUA8eJe7MIuD5OfT/w7k8VwyoT6jmpJKWce5IorQ/zdaLNIbs/vs/5i5zZ3lg9x/crvX66Xdx5LKWwUmZPeet0hoKZ4wcw6d4hb5xiIF+vEyr6nKcVLVHQMbd1z5MH2zmJGSdmSxQ0RLxG37lKz10cRy5gFkwc63E566Pj3KCYmViTZHUAJiYmptptWOyKaLDXiTnIyXd4b++z5q5RF/DZ+SGzT1EystcqdM5va12BofRAv2uPnxG7hV8emasj+i4iSVLaYeNrzXNb62nfKoi2kR7wo+TGYc1iBqWk+7ep/oYskMq/ICvnflFt4t8z+qsMvhLw8bK1YxsRfQu0T9loUr+7dHn6pn/zSrsaWvVYUL/yU97S4wb8QezbV1ut8w8AJqp8KqU5lA/9LnqZ7kLyowfSIF75s5QYzJQK+4eQk4EX9istEmgX8CtLjQeW9iFTmvBSIl7TjzrPwloqk//z7jj+fwgpOkycoM00vxJ+TS4WV3YL4IdP5+LNO5UyPPG8KufkgZ+KAvCPTvWzXXr4UE7Na4sU/g/KOIs439829L9Itc9wd9WqKFyT3d5e6NY6DeLFGnFL2MmVuFH8/P6rw+CM0qOcrth2Dzl64kmqpEX+nSFn6d21JPTs2TfYyC5zFaz6WOysqpeLjJWnN/NFUt/VAmjG2r9jBqLQUPfYzXvjYlRs/oWkLN9DmpeMdiheWRK/0DKNmDWvInZcr1uuWrB2lPUf9yki0NBMvGemMFc+BeNE+asqTF56yXi34WfmF3d2nOtr3zlotpEe8KAnz3JmNooiXsALTaJ6Y9qzMNnBn+i/PjFktpl2nlSPGWpT16a19TiN3OLvqlRXEC8+u+iP2DJ2KPkm/if+mfFLMY6ic2Ha9lNgNrKhY+oaiLoH0iheO1+9xv0gxxn9O6ybyxezNKZ+4GdV69zl1iaA2ewIQL47HA4/9PXe32xLis3Tpnqd/qlkmaY0mezmzW9TFuauULZc9Wc6nSBal7eohtUQ/j8i6Hc2EUWPEqylelJl1+P6gRmSMrwPixfgYoAfaElBNvAx8Zz690eVlaZP4z2mV2ePf0PaqdKwd4kVb2PbbLCNPg+es0yNe+KZ2650P6dmQ56hEwCNpNp7yyXZ6picrS5X4ix6WhLgXY/ukh3yGGl86zShenC0fUihxXqHSAWXEtqKVdUlo7V50vPeo9IoXZyR4/CpP97+J/EJKNKXwZ0djIWGcCZgj9z6lXSJHVLnASlQqSMRe/Bf5e8wx5iBeUseBP8OmXg1L18MIV9G030XInQcjrupbEjFPLOU+KbK0iKz7/5aMzKBx1Y7yczXFi7u7KrrbNxxnLAGIF2P5o3XtCagmXibPW0sdWtan4mJJEf85rfJW/w7aX5lOLUC8aAt6j8gRslt8yVbjy4W2PbVG7ekRL+m5ImXWCp9TPaSm2Cq6XbpuhlIuVUpP25ntWPtlXHyTqswu8nSpllnEC0/H/03kavlR5Gr51e6GnOPMcq6UmNVSMbiy29uhZrbxoeX1qiVe7PvobCtajnXd0IZy6ai9WBkrdm9JmeOLfz+UD6pCFYSAw2xILUdA2nVDvCTnk5iUKGe5rLu1QtVlO9fjr9K4KyPk5+GIfONUGfMnoo/Rioj35AU4S7ir1shSU7w4yzGnVl9Rj74EIF705Y3W9CegmnjRv+vmaBHiRZs4KE+6OTkrZ9XX8umLNldgzlq1Ei98tTtubxK5GgpR9dCa6b54T7b95ZuwL6M+p7pZX6BQsQzNW0vKHaKU6eX8tJITynLhG9AOObtl6Iu4UeJFWT70q8j3Y58UV4kjz+YpKZJIcr4Wvj4U4whoIV6UJ9Z8VS3F9rahPsH0ddRR265n9gKGjxlx6Q15w9lIbHN/OuaE7TiFCuePqSgkDIsYbFWv71iBeEnOe8vtDXQocq980ZPlQI6ieCz6SyrsW0S1JZXxSfG0PGKhyLVUgWqG1tF04KgpXpRZ0Zgxq2nIdKsc4kU31GjIIAKqiRdXy4vsrw9LjdSPdkigLwX4+9KtyFj1K9epRmdPuvELVb0AaClePOmlsoNSRpLEKjmAXsnRkWpnredJN0x7Ls8o+uj2epnThGe5tMzZXj7dVwqvc18jkhTzz/n90ljclNbJ2iBd16OneFGS4v4ay/k//knWTyUpbgWRq6WkyNWCZSTpCqOmB2shXuyXk9oLds5hZL/tPI9r3nmFx479DEg+//T97+m3mF/oh5jvkuX94XMqBD2JJUmajor/Kod4SQ5aSVDPr/bIMyDZZ7ZOITFlM2qKF75AzJg1ZZgz1CmIlwxhw0kWIqCaeHG1vMieCZYaqT9CrCheXOVvUJ50c/4GJMpUZ8yYVbxsEVLhUOQ+KQ343/QUZdmB2k8U09MHrY5NmZSRl3E1ytbc4YwWfj+tvbU8w7NftBQvLFUvih07vrl3lM79u0uHwozjXUzsblM9tAYV9iuG97pWg0mFerUQL9ytdy4PoZsJEeQoj1dKAcPHd8rVzWkOGD6eZ06dus+7XSWXesqSpBjxXgkSs+N4i2suVYKqkX8WfxUIZe4qIF6Sx5+Xxd1NvE05fHPRO/mnUBbxDwqR2uJFWX6Y1ucCuFuDAMSLNeKEXmacgGrixd0u8LZOndu86O7hpj8OS43SFyJ+Wslfin8XX45T5m/Ak+70sczI0WYVL1+LXRTW3lyekUuS5/hk8ZHJNnuInSK48Bbk829MpxezNnU584MTe/L2ndVDa2W4fS1O5FkuvNRO2Xo0rYSj9u1ndPaLmuI0+qaaAAAgAElEQVTFlVRFUlwtRoz2dWolXq4kXKKYhBh6KOBhpxfBQuVbsbyiuH8JsRSirlsXy+KS3w+8JIk/E1LugqVUUi2khsxrgeIZAYiX//gpM7l46ds4sdsfyn8E1BYv9ttiq5XzBvEyhgDEizHc0ap+BDQTL6f/9yf9/OvfdD82znY1V2/cog+3f0rf7nlfvyvUuCWIl7QBu5O/Adu/ajxI7ao3q3jhLkaJZTLOboxcEQoTTxaVnX3sd/xhmdcoRwvb6bl98sg/B2cJltuSR4sn33NvTJXtepIfxVX/+OcJSQl0O+Em8RfxtAp/Yf/k7g45A4hLRvqVntkv9xLuUUxSNMUG3Kb4+ASKiUu0dS9avB6dFJWsu1EJUcQzBuwLHxeVGC1fuhl/zalULS1ytTwqcrYgAao7I8Z8x2glXvS4Un5PzL0+TeYM49lxXB6ImRPEInBkvjA9uuHVbUC8/BdeFoVzr0/B2HIw4tUWL9yEMms2PTsqevWb0aIXB/Fi0cCh224T0ES8rNq0l2Yu2kglihekf85dpkdLFKGzF65Q/ry5qNurjall49pud9DsB0K8pI4Q8jeYd9SaWbxklJr9rgYD8oygedfDbTv9ZKROzo+ScieVjNST8pzFEXPllp1p7T6UcpvoxmJZUaPs/4mj9PbD1eyXP2P/oFnX3k1vtW4dzyIMUtUtVJY5yMriRYEcmxhLAT4BNubID6He8IN4ecDSXvLx75NGYnt0lP8IaCFeuPYpYttuFqssX4bnD0N+MAsOOogXCwYNXU4XAU3ES/02g2nyqJ5UtVJZqt92CB34cAZF3oumtyYtpjbN6lKt6hXS1UlPD16ydiet2riX4hMSqHG9p2n0gI7k6+uTqlpXx926HUmNO42gN7u1orbNn5fnQ7w8eGr4h1iucUrcVPKyjZSzFvgGjPM34Em3pyPZ8/O9UbwwFeXmifOF8Pgr4v8QdczZWSwx+F5ImAgbOJ6NweUeiZkc/87aSKREscygh9i++KRtlgnX01rssMJLEFwV/pId/e9sD2fHRiRcJ959SHlvOMrVknKb6P55R6gyMySt2S/KVr58vQ8HPkSJSUSJ/H//liCZcyf5TlEhYtcZnjFkX+zzZQRnCUFSXFeDxqI/9wbxkhI976h2Oe48BWQJFLPR8lFRkW8oj29uyu2fj4r4FpXjX+0ZWvw7Uym5ffNQlizekfsD4uVBVO1nX0AApP6w00q82D+4sE/AbdGP20zZbYiXTBn2THXRmoiXSg2607e7F5G/vx+xhDmwcaaEGnHrLr0+YBJ9/MFk3SB//d3PNGbqMlo15y3KkS2U+oycJeRLdXq1RfLdT9w5btTkJXTs+zPUo/1LmV68pDWrBfkbdBve6W7IW8XL8Ev9bFLDkyS7KRN58rIgJXlvumE7OIGfxEWJpTvK7kNVg5+hr6M/p2xZcthm6Xg6y8VZPx3NfjkfJxLeivw6HXN3pxfy1aXYuASKup+gxqWiDr0JiAcLCYM7U5b6TcinaVtNWvdG8WK/84wzaErS77w+yZcJ2gvclOe6+7nBdXNSYW9IvArxQmLXrQdLjLiMyD9O7sSFkpyAVuKFW7GXL558F0DMjCEA8WIMd09b5YkNFet1I/6OYF8eLl6YdqycSHOWbqal63aKSQ++8kFD4QJ56CUxEaJHhybSFSjn85+5+IhjShQrSEN6t6UaVct52j1Tna+JeHmp00gJ6/kalenlrmNo4sju9HjpEnQ3Moqef2WQrjlexs/6gArlzy2Dy+XQlyfl7JeVs0cmC4Sr446dPEMLV22jkmLZVKmHi2Q68WK/K0nKpLj8xbGUmNVSMbgyZrWY6u2dujPeKl6WRcyn76O/E9soe7Y0RyF2OHI/7b67ze2cM67ytvBT89w+ucSORC3k9Octd9bbdh9S2mQp00Ek+Cwl8qBoVVLOflFmCI0Q+S3K5S4F8aIVeB3qTdy6jhLen0ZZChSmy/3DKDpbDoetBgcFUcEihcnP78EXnPQUbxQvByJ30/bbm2Tel2rBz9KFhPMy2TbPlDsvd+C6p6p8Zd7K5wULWP53gJjdxk/o7Qv/zo1IjJDJ6C/EnpV5k3rleZPKBVVKT8h0PTazixf+fJ0qlrtwQvS0lpTqGhQTNqaleOHL5UTac8WSY35vqfWdwIQYvbJLEC/WDKsiTg5umkkF8+VOdREsXq5H3KYJw7tSrMj9eub3szR5/jo5IWJR+GCbeFHO5/oOHvmOxoQvpz1rwylvbsffZ6xISxPxsmPfUbGsaAkd3jybtu45QryT0dNVHqdf/zwvJEgeWjJ9qG6sug2ZSu3EsqAGtZ+Sbf519hJ1GRQu+2Zf0jouLi6e2vQKoxlh/WjdlgOZQrxgVxLdhqiuDXmreLkZf4NuJd6ihwMeVZUnPz1Te5mB0kF+Mnos+ijl9y1AcRRPdULr67Ym3X72C/eHn7gXzp4L4kXV0aNfZYk/HKfE92dQ0h9nZKPHQvLRhtwlnXag2jPVqVO319PdQW8ULwzhbNzfcrckZ4V/H/IMFk4ibV+UJN2OznPnc0NZksLSp3xQZduOfym3XFfqZzkbVtC8O+RkdvHCy0l/iD4hJRrLNBTHBLQWL9wq/45bcmOu7AAkmHVGIsSLdWJl39P0iBflvNt37lGjDsP/z951wEdVfN2zJb2RkISShN6F0KWJgmJDkaafBbCCqIiiVEUFrPRqAcEKKhaEvw0RFRDpvSjSSxJKCCmkJ1u+e2czm7ebrWmk7OW3vyy78+bNm/f2vZkz556DuTS37tSuuWDMWAM3g554Fc8+PkgQOapKlAnwwp1zhkR1Y+pGCtrR979sxr7DxwXzZOjg2xASbKkZUJadOWTUmxg5rB9u7NpW7Ob8xSQMIBbOTkqFUoajcu9/ugZGoxGjHhuIN+cvtwBe0rN1Zdl8l+v20qiEbk1OXvHTBM7mnMHRnKPYl7EbR7KPWOw7gnLfm/u3REu/Fmjm1xIRlP/uicrXA4G+Wkol0QktD09U7x64TKv648+8gGifeniz3tvgAY9eb0C+3nNxVJYrI28tsbI++QD6iwlFmvx51wHIDa5h8XlmVjbOnTmHlq2aY+Ir7i+AsBRJgI8WGTm2n3v8nKwqeiXlcQ3szdyDhefn2dwVP3NjSHepBT1363nXw0eXPsRl0qgaUetJ9AiumAYFTDIP8KPro4KMi8rjHMp9rE9dhy8uL4e/xh/TYt7yjJEcdL6vl5pc/oB8XaGDXlmcqzVXvsea5O9F1a/Xewv16PfkiYrdA1qay3jRXCa7BHOZinSEQXQ/LLPI3wUY88qsersVexfVPiwO8ML1vzj1fTQkI56nH+lvE3jp/9hkjKMMmvLWhi3LTi0z4IVPgpZyuTj4/XFiu9Qi+lFYjaCyPJ4idQ8fNwuD7rxR6LpwHD0Zh5ET5hRhvNgrxylJY6e9j6/efxXe3l5FgZesQrvscj0wq515adXQEMjlDvDCNrJHc/7D3ow9OJr9nxjUKaMlASztAzqKQR8P/qpSXL5sEjeMiHBs7VuVjpmPhQfFWTl6ASR6wtMDDLQGqAIIfIk2AS+EyJX1YNjT6yXvgfx9u5A1/VUz4KKpHYXTNetiZ0IS6uVl4Pqsy/C5oz8CXrJ0rDp7Ng5TXn4D9erH4PW3X3W7IQyqBPhq7E6sCXahf557i6sdazAaMOr0UwKsqk+W1gJoocWNGHrmWi9ubEnfjKUEvnQI6ITn6jzv6i7KtZwA5ny96PqoGOOi8jp4BrGnxL+CLH0WhoQPxa01bi+vXVfK/fjQs4ZF3MvjWcPAy5rk1WAgc0LUSx5ArIJfMVoCXby0KmRXAa25jWkb0K/ObWXX48nkeGkoFGovux1Z1Ry2hkRYLOdOEngJDQmy0Hnp1uk6zJg8Umi8yFQjZW3TKd2I7wUTRj1gAbzk6/RYt3En3l6wAmu/nClSkqpKlAnwsm33P5hEDkZ/fjuPVtaNeGzMdOz/5wQBMWrMf300enUvvxzltxYsR43gQMFW4fjljx1Y9fMmfDR3gsU5tFeuZ9dYLPn8ByH+w5GZlSOYJQ8N7IMxI+6tdK5GLIrLOeMnKM3BWquFacxNiCIb69ehSruSrP3hZ/xCL46oejEERhQ6tHTt2R2du15fVX7fRY6jqqYaVdkTVo4HViPQ25NqVI79XZxdcUqRccUS8F8O1nPRDB0J1a33YMUny7FjyzYM6dsHHT98Q3yv/fRnqGrXNe/qStIVTJ30KsLCa2LadFMZd6Kqphq50wfXqiynPU69NF7sfmqtWWWWAlmS46uuqUasJ8JjKx47jQgbXZIurBbblkeqkbIjV6R+hB2Zfwub6dJyC6wWJ+oaHGRVSTWSLpWrYleWXS+mv0WMl6tlV7+9moNeocGHJYlCAi/fLZ2GiJqFTFsmLAQH+tsFXl6c+h5aNKmHxx/sK4AXOdfWqNVo3KAuJo56CB1jm5X/MZbhHssEeBk8/DVKKboVA+/siR9/24p5S7/F6o/exN7Dx/Dux6uxatnrZXhIllXvPXQME95YjM8XvoyAAD88OW62sLQefNeN2LHviEDR+KQ7Kqes0TrVqKLbSSutnhNIcIxF35TBVs+tabDQ1LsZomnFraqHEnTx8yfr4awsi0Mu7oSksvSbB3ipLGeq/NvpAV7Kv8+d7dGwdxtUMY1AOWAwfDgbhq0bxCYMuKgHDoF6wEPi/3HnzmLOOzOhzzei+03d8H+JJ2BY/wPUBMhoxk4z7yaL7ncTnxsHvvfNXDjb2e6LfO8u8HLh/AXs371XANxNmjWBP+3XE8XvAenANCz0CbK6v6H4FZXRltUJeDmQswcNvZpgb/ZOrEr7UkzqPdbRrl1Y5Q28sEbTwqRZSMg/Cx7zjo7w6O+4dqbKv1RVAF4k6MK9V6bAS/mfHrt7LE6qUUpaOm5/cDw+mTcJzZvE2Ew1qkCHWGpNKRPgpf1tI8i5aLFINWI0i7VeXnjyPpFy1KXv09iz7sNSOwBXKvrs23VY9sVPRGvUY8AdNxCC9qCg9nIKUdOG0Xjq4XtENfbKKfdRGYCXdP1VrM/4mRgtR8kN4axFF1UXVout62Lj7xuwauW34qvBD9yH67t3QUJcvPh/ypVkLP/482KvBLtyHVaEMh7gpSKchYrZBg/wUobnhVP7OA/DSRgzaPVq20ZitOyBkUAWY2Y6MXojiU2cKLYUgMut/cgy+h4LJst9/e9AUEAkAvwD8c9/u/DpvIWo8+ozYhtr1svo4abPFy1731lzinzvLvDC99SdW7eb62Fgu2nzZoiKiUY0vaJiojxgjBtnQQqGVlSR3eoCvJzMO475l99GI5+mOJV7XJzB58InlakjnRuXSYUvWt7AC3eIZIyxk9/MOu9V+D6qrg2s7MCLEnQZRi6VA2L6VItT6Q7wwlIHx08nYNqcT1G3dk3MevXpIq5GVbnTygR4uaH/aKz55E0aBPqh971j8P47L6BDm6a4knIV/R55CVt/qDo3vYrIeJl+eaoZcOGHTIy2HroE9KjWVs88+OdJAEffe+7CnfRSRkkp+JXlJuEBXirLmSr/dnqAl7Lpc+OhvdCNfwKqAKLmkhaLqnFzqCJrE4gSBTRqChCYogoMBoMueloUMF46b7MhIqXICnCRBR9/aCg9b4PFf3/8+UsMvPd+zG5Q2ybrZQIxXpjpN4MYL0oGCudZM7DiKNwFXuS+mPGSTGlO1gxD3hd/16x5U/S/dyCl8Zp04TxhvwemXhwvmKtsAV/RWKrVBXjZQW50K5KXmU8Su1INCnnQc9m62APXAnjhplXk346LXVfli1Vm4MUadLnevwfq1iyUMqjKJ88V4GXZlz+Zn/GcjtT/th546pF7BEnD2fZVqe/KBHiZMvsTHPjnJLRajWCWfLNkCrJz8siP2/SgYuuoqhIVDXg5kRKPaYkTwYAL5xqzrWF1D2egi+yfkqwEV5Y+9gAvleVMlX87PcAL9Xk22QV7e4NGB6V2AvRzp8Lw2/8c1sdMFmSkC4aL1G1Bm07QvzFWWEQzaKNd9VeROjh16AvSdjm474D4rl3H9njtVZPw6ra1f9hkvUwhjRcGQaaSxktNYqBwxJ09h1lvzqB0oKaIrhcNvwLdK19KDfKnBRQZ4VS+RoAXsvUaka4kQ9ajbGD8uTjMeP0dCxYhf5YQn4DjR48jntiGCfR/GSOefQqx7WJLrd+rakUrUkivIutvdKFUo6GUclSRoroAL8oJVpRXfWK7jIe/uuqIP5b1NXWtgBeZqjei5nOIJft2T1S8HqiswIst0IV7t7oALxXvSqq4LSoT4CU/X4dvf9pEQrTZGNT3RtQMDRaitK/O/AivjHm43J2NyrL7KxLwcjz/P0yPe1scbqwvibzV9Ii8uQq6cJ95gJey/KV46q7oPVDdgRfBOBnWFwgOIV0U0iEjNgozUdwNrsd46hhwkl6J5wl0+UEAKtr3WGSPUo5OHSdWSwKMiRcJVDkKkBU0f88hQJcZS81pRPrXXxS6LurYTtDMXGrRFGbpLZo9H/w3MysD6VlX8O2an/HC6JH45qvl+L8Hh9lkvUwnMIQBj+fGjxFpPxwbKA3z+4I0THeP17o8pxNxZNPznxkuXXp0w9DHhtmsloGjTbRvFjvvfevNGHT/vTbL8TEmXyHGTHYO6kbVRXg1c6NTdko8pQ/PIFZrRUw3qi7Ay/dpX2FDxm9o7dsW94YMrZBCxyX9HZfl9tcKeNmQsR7fkx5PRQQty7K/K1PdlRF4UYIug0MeQq/AW81d7gFeKtPVVz5tLRPgpXyaXjH2UlGAlyx1Mqadf1XYGXIMoh9/b8WPv2L0Vvm2gldUF86aLwb/ttKLrFvjAV7K9/x49laxeqDaAy+kq6KbMNzipDAQIlKD+G+j5oRodxTv7YVhyWzoV39R5GtVizbQzjelOtoKTi/iFwMsyjCSQK5uzhRoho+B+t5HzF8d3H8QKyh1ku9t1zXLQqDfIVzKvA1jJ70jhHbvG3CH+Pvtko/ReekMsZ3UellE98RjR49ZAC9L31siWDMMkrD+Sk6B6Hg2MYCyCECRkULgh7dWjZSrmRZpQ8ygsRXMhBk9boyZWWOrzHFqC9+nOeWoLTFeeJ8J5+KRSX9tpScxq+eJp0dUrB9PObdGphNXtJX76gK8rEj5mFhHmytkulc5X4rF2t21Al6UzmA8Ri6OqcTcpLeQpk8lVnkAaqprCtAtlISV/TX+CKP/h9F7/swTxeuByga87MzaguUppmyOvkH9cWcwWTwrwgO8FO86qMpbeYCXEp7digK8vJs8E0ezj4Bpry18WuGu4IHwUnmV8Ogq7+bugi58pPa0DypvLxRtuSfVqCqdzdI9luoOvBhWfwn9klkEtBSkZyqYKMqettBqadjMxE5p1AzG9T9Cv2KxKCoAFNZz4e8Dg2Ds0BXqmhHFO2HxZ4DoBuZt2Zlt15Y1uK55Nu7vdwWR4TrxXaZqENLwtHg/d+ZbmEOvmHr1sWXI/1lovUiQhVkofgEBgv3CjBcGcZTpR7Ya64rGC7NTZPhRmpIzJyPptOSoc5hFE16zpgCMiuvIVLzOr5hb7aRUo+WUclTRmK3VBXhZdHkGmRf8RylGEz3p3MX4iVwr4IWbKtONzPcoSstvSk5HTSgt3xkQowRunB12GIEvDM5Ek8aiv9pPgDN1vaLQnMbnnrDfA5UJeHEGuvBReoAXz9Vu3QMe4KWE18S1Bl72Ze/C2bzT+CNjLSK0ERgXMaXa5xorQRdHNHfrU29L+6CEl0eF29wDvFS4U1JhGlSdgBeZDqS6dMGU9kOpQZz2w6wTLaUZqcg5iEMI3bLD0CnTd7KMo5OmnbkMKmLGyPDCcUQYn4VeRe5ECEQ+GouXEQHINzaCDrVhVAUWqVJjvAh/1TrkGtshT9WWmCdZ2L9lCWr6bUbvHqbUJNFGqlOFDOSrmuCK8W0YVCH0qRpdO7QUrJd5r0zFwF+/EmWZ9fIFab/s2LKtyP4iIiPw2tuF1tO2jtEV4KU4F/QPq9YI7ZcGDRuAdWWYKePn5yvYN0rgxl1wnPtMsGaYPUPOdanJKejVpzd8fH2L08wKs41yAji11qwKs8JeXYCXKZfGI1lXMQWOK8xF6qAh1xJ4YWvpHVlbyVo6DsfzjojzqAzWR4z2qkcgTHNayKyHWL8O5q+lqDJrJw4KfgAJ+njBMk8hsessQzbideeQTfVb16msf0qtmQinsbonbPdAZQFeXAFd+Ag9wIvnSrfuAQ/wUsJr4loCL5l0g5904VnzEbwc8wrqGBqX8Igq9+afLf0E/xz6x6G2gPEi6S58abI0V/d/ACjQcZg5ZxHik9OcrvpW5h7yAC+V+eyVbdurMvDCKTsGYqQYMzOEWK29UHl5Q/PVeofaLsLymQEZ1mphQIYBG36xMO71PaF9faFF9SH4AAHG7x2ePAZPdKraSMcwAcYEYQX8sU5so0ctpKseRpDxc2hwyVxPHgiMUd2GLNyGOsaBAnzhYAAmyTgL33y9BmOefVKwXtbefRsCd/5FVtT34H/RbbBh/Z8C3DDbOlOaT4tWLUhXmISFHURZAS+uXtnKNCkWAJaAigRXmG2TQ6lRSZQSZS/9aejjD6NL966u7rLClpMr98NIYPd6EtqtCFHdgJeKBHpVhPPvahuuJfBi3UYGMU/kH8XxHHrZAGKU51gKW7uSys/1MggjwZlNpAnEbmQelpTjq6SiAC8M0GUTmJZM54wj2XBFgGw59PkV/RUhcM5hK71IeYQe4MXVu0L1KecBXkp4rq8l8CKFwvgQ7gkdgPsi70NqRl4Jj6jybs5OGQtnzRMH4Ijpop8wAoaDu20e6D6/mmi89GuHmgSVt4fIuTbUF0lpudCTdawnPD2g7IGqCrwYViwxpwDJ4+V0IdZuAaUBqShNiK2djbXqQN2aVjfV6mJdGBr9BYSqZxLw0QwGY6HDSSBWC1AkWUWCvcRPUdN7L5ykzzLFXy0xWyRoItkrsgHW/2cQJhftCKAZSgya2uZ21gBZQxtNQA1HDrrT/qaZWS8vPvI4nvtni/guYcp72HDwCO4ZPMDt+9y1Bl5kmpSrJ4jTkjhNKYBAGl9Ke2Idm8hatci60pSeJaNt+7Z2hX1d3Vd5lzuYs4/SJhaSpkRNtPKNRZ/Avtec+VIdgBeekE0sWPBaFPVJeZ/2KrG/igS8WHcon99DufuxNm2NAEp4Yp1tzKbUsqNIIGFrjufCJ1GKGT0/3AipCzQ0bDi6+PVwY8vqVbQsgBc+p8xC4vNoehETMv+y6Ngr+mQBkOUYsuiJTN85YSwpz4Y90IWZlieOnRBugSMev696nUDP0TrtAQ/w4rSLHBcoK+AlSXcZh3L2C3SVg28WTGUU7wtuEvxQ4NeQ0Mdxc2gveHtpqhzwwjewhLgE7Ni63emZkvakjtwxDGtIx2Ex6TjwxIt0GHjFWganEiRrfHB17udmtw+nO61kBTzASyU7YeXY3KoKvOgG3yjYKJqnxkPVhoAVFsothluRs1MRZFxOTBXbAroMklzCcrtVaIyXEI6xZkZLFm4X4IpkviQmafFf/M2o23yUXc0UrkODiwjFLFEPs2e2H26L23p3E/vdSlovdY8eEKwXzVhKKTIS+KpSmdqk00H/5jio+g6Gmlg79uJaAy+sb8MOSEpAJZSAlZo1wyxSlMJID8ba4lqK+No7tmHEhLm+AjFh2Ho7mVKjWIOHn21GAstvub0PGjdrYj6EqRfHizEAB7scDQkd7vaE0Nl17c73DLwcVe3B9qQ9GBb2pDubVpqy0tGI002YveAJ93ugIgMv8mikjpLy6DgNqXfArUUEVF3pAel844wh4UpdVbmMM+BFMomsQRQ5R0qhuRNHkoEZR1niVZzgc82vcLVJKDmU0sNYq8dPRSA+CyuTho+0JJdAywnSIDtGC8B8z5axarUHnC1O/1flbTzASwnPblkBL7MSp+Fc/hmXWjejzrsI9wuuEsALD47jCWhJoIGmBFJc6gRFoRkLafWXVjqtg9MBdKMotYjCWoeBQRfdI3d5gBd3O9tTvsr0QFUEXowFTkUMtGpX/VWm5yrcOA7eOECpP7dTelCkxb5yVNeTrkuBaK+dVmiNJ+GHLSJ1aPPWY/j38CH8tHoJPpwdg+WrauPRUTNdYqhoiUUTaXxK7IXBl+HPbTHZS/e+BTPT48XnatKgMVDfsJAwvzdmpAsBXv6/9j2THoytuNbAS1pKKv6kNKkbb77Jpb5QHoNSxDdWwXA5RA5Rq8hKmz8bMWpkmV4jtipPvHgJ/xz+F+wYxW5OjtKkrNvIizMfXlmAKO/65tV4aztTuU89XZWLkmYigPSEYv07oI1Pu1LXg2PgZfyFUYKSXxVTKo7nHsXCpOmiS4vDeij3i6uC7rAyAC88wX/78mQEqYKF8G4X/x4lElKW+jBd/HtiKC2WesLUA8dzTam/MpVHp8pGqpH0uHLTi8VCsdWvtkCUmpowUTTMK4LAFAJZCFARrwJQhb9TCsUr602me3V2dg5sAS2yXLPmzdCkeVM88di9nlPt6QGLHvAALyW8IMoCeJFUVomucxMZYWW7Og55k+D3Md4kRqjyhb+PptIBL3JFj29ePOBkxwpbwVRxpoKzHoGziKxdGw0bNShSjHUZ9KMeFAKZmoFDoB45rkiZ/Dvai8/OLPjaw3hx1tGe76tcD1RF4EWmGdn7zds6icwcURNkwalAHGpVpkgP4uDP1EaTsC1/bi5jzIAPgS6cMnSBUotsieW6csG8MHqkAEmUcfddD9G93Rv2AGVb9frjN9QgnReOf+LuQusOL4v3kvXiqC3a7zbZZQRda+DFlT50VGb66++I1chBD9yH3iSyy8GD66mTXhUsmomvvUR/nTsxlbQdcntHjk5sr81MHmbuhBKD53sCh/izSdRGZeQb84WDoVxR5++6BNwgxD/9adwgQ078lCdqK1IAACAASURBVNsya6ONbwexclsaFrgnKR1j/mUTMOGKDkZp9aOteqRGA3/HLGFeEZch0w34/1K3QX7HqQcy5Op5GxJY7RV4K6YnTiVR1rPoHXgbHd+DZdn8Kl13ZQBeSvsEMMCwMGkGmpGD0uiI8mNKMYDE7J216T/gYWKhdfKrOPpWSiDT5f5OJXSXf8o59Den4C9/Jv/P7ynCiKHCc6gAAlU4MklgnZ37rCObNMFsfe5yewoKSqCFwZamBLrI8Gi8uNuTVb+8B3gp4TkuC+BFqZzuKpW1ogMvPLhl1woJssQRo8XWzU4ONpvQjSs6JqrUABDDktnQr/6CtBzqQkMrurZSDTzASwl/DJ7NK3UPVBXgxSx+m3iRtF2WCDFda4abvRPFArZBDlKCnJ3gPNV1SMJ8i2KHDuzDgLv7ICKikAUTE1NflIkm4VtlSNDlujZtcV3rWLRr3wm7t+4rloWy8lgmzYrBjJkr0a1JY3xVQyt2yZbX6qFPCWHgeBIezvjnAJr6+Yh7JAuOq0jzRvyNrC00cFgPR92kOSLq1ESizrEIr7N+ulbf/7TmR2z+cxOmTH/dghXJwIv16iYD/gzGMPgh/8rPoqKj3Gbc2Drmg8S2WfruYgGosOAvP/NYNDia/m8do4c/Iz5yBMCx7suKlGWCXs+pR6MpFUYCKuYUGZr4EUKI+Hx2YCmciLD9bVe/G0y2ulb6FUbSJvr56ve4zrcdGnrbF/DfmLkeq1K/FO3sQoK/Q0n4Vxk8CZRhDYbwircMV8AQWZZTCmQ4cpMp6TXHE2a2kOZ+nRA5tdTZQiVtX2XavjoCL/GkDzPj8lTBTpsUMbVcThcDLr9c/Z85HbGisW0YiBKMlwt0Q7pI2mpK8EQJrPD7AkClXDquYCd8v7cV4QSEczDIYg20WJevTsCLkdKXl3/3G775cSPizyfSM9YXHWObY/zT96NeVC3RNQuWrcKyL3+CRqMR/1dTujN/9/yIwejdvT1S0tJxQ//R2LV2MfzJ2VDG6rWb8dP6bfho7gRs2/0Pho+bRXJ8BanSik4/9Ocn5u8XvDEafXoWOky+s+gLRNUOx8P33S7a8eGKH4vU0bltC3w8r2yBUQ/wUsJfcVkAL1KEy50Vo4oEvJh0WeIJZDluSheily3KnnTVkCCLtXVoCU+NeXPjto3QTXtB6LpoZi41iWraCKkFceSVRYi9oWK4RJRWH8h6PBovpd2jVae+ygS8mO2gC1yKjASy4CLZQhe4CynPivjdf/aTU10XFbFW6mCg2JSdgYwKgVx2HOJgC2gpnGtQBYn/c7BNNH++6e8raNuhK/wDClMdp74yAUsXv+vyhTLtrVkYPnIUknYk4cIfF5C4/TKONj6CZ+aNcrkOWVCCL2fO5aD3gMM4E5eLOU2iMbhGADIfex7p3Xrjaloqln34Pq788j0+auqcVch1c58KYWICaeLzdLiq0yM+N5/e04v+XtUbxPuhjzyB/oMqvrjgv+SE98ev60WajzsroDwwjyYmphKYYVBG/N/OoF15Ejf8vkEwWRzpksnySkcn5Yqq9UXB4MYimtCw9guv+N4b8hC5HvUgId5FOJizF1LcU4qIspvLwZw9FiAMb9eVgBNmw0R5RQv73e/TvhSgw9TaJiaVrVBqznAdHMXVWHD7YrfaQKYX8MecPhBAiXwyfIV+g+m3K3Ub5HeceiCD2cUnaGK4gRxpZHhSjEp6ZoDqCLwomewz67xX8k50UIM14CJTEcubbePoIPk+NZVs2Zm1UnN5FJrUN43LNTSZ1mpUyM03iP8z8G0r7IEiYXbKM6DN92XrKGuGY3UCXmZ9sBJ//r0PU8Y+gtiWjZCRmYMVq37D/9Ztwc/LpyMwwE8AHknkHvvGBFO6nZ7GCn/8vRcvvf0h1n1F+nQatUvAy7S5n+HXL2favDYYmHllxkfQajX48bO3ya3RS5SzBl6U7SjTH6RV5R7gpYS9XdrAC9+cp16aIAYrrN2ipAo7auq1BF6kLguzWa5cSbYQljIPYOiGF0MDVEaHeXWvtFYMnZ0+to7Wk66LFNdUD3jI7ias8cKpSGcnz0eTnjc5q7pSfu8BXirlabPbaOOerTDs3AzN08VE6PWk/ECsEBU97AKIfWFo2AQ5obWcghTl0YtFwJVTlIpIWiS2wBXr9rBWCTM2GBhQde4BVQeTwKyj8MVWhBmngG2ak1SznRUv8v0BcsxZ9t6SIo5qXTu0RNy5s/h4+TdodV0bAXSkXU0T2yfEnTPXw2XaNemE2nH1kXo4BTmXmEdtitA2NdD+LVMqpLshHY8k+MLOSLfXjsSyXZbObnQJkNsZsXBokBJM/4n2KfzLn/H/5XfBNKBxJb7TBODBn022m5UpePFAAjDM1ORge2p+vqXQX0c6LPI4eZDPg3oGZmS6kFhsEMCMKZ1pxSfLsWPLNrhicf39198JG3BHjn1y3zyO+P7qSuzINPU9p8YcINCFGSH2LJCZ9n+Iyshy5uOwAlBiCYxhVgynPkdpoonSHy7GKVKMNJKAi3Q9W7EWpfVz2cJ6LcEQFq+U4QgMCVNbrkKHERgkozTSpWxdpxNIt4aPx5NiVDq/4uoIvHDPSWByRNhoxFL6WmmHNeDCQGnf4P4Ipb/lmeaUa8jF0bx/EaWldEnFb155vNKVDUfUGOo/QjD+OJyJ65Z2n5V1fdUFeLmSchW33PcCVi6eghZN6ll0axyxX2Lqmhi/1sCLLNj73jGYM+UZNKxXp1SAl0+/+RVBgf5o1igaTw7tJ3bjAV7K+movp/pLG3hZkfqRGCy5q5hfXsAL67Kcp4EoM1ms1buVXc75jlH1GGhphrCwUJvU6fI4RdI6mmn1zHaxFf8cOoD4+Dh0XjIdQTmZHuClPE6MZx8l7gGhW/TI3QJU1JJLjYrcajhEqg0xQUB/jfRXJd4TYEEvZJq+48+ZIcKsBcPWDUXaIgALYoaJv41oJapR0zJxAyotcAWRlB7TmG2hqb2cKmMOA2pgIS2qdaaXYwvPEHyAAOP3yFQNQhqedvv8yImxUodj7sy38Mn8JRjSYARu7323wzrzM/XIOGXSj+HIVGcit0UOwv41TTQjuoZDG+BFLw18I/3gFaCFdy0f+EX40mdaeAWaVnWsg5k84arx8DKeAIMv7XvvR+pVvSgWQ2BbcEgNNK6Xj+8/qoHDZ3vi+EWT9omtYFpwDWqDLlsHBl9i8nNN19YlYhsx64ivuUsXCv6eF0yYmr8fdLsvK8sGMoWW02aZ2ZlFegH8bGSQxpluAAMzssxz41+gtFr6jTkIqUXDRaZOf8MlRs3GDEr9IaaKDGaBuLLazmkRLNx7nFJrpPilo7Yp2S3PRj+NpoZOSCGtFD9yAXF18agin/PNmRuwO3sbRoY9XyWO51r3dXUFXjbQ75GZYzIYiGTXHOmYwwCJBDSVIq/Ozhf/RlcR0CrtriXgcj2x1jhkmhPvb1ot+4w15X4u6s4TgErjBQqZBmgvBVA6rcrtpeMq/5/vDay3Eq2tR+w5ExDDgIwAidL/B2zTYuL1r5nnCB7gxdnZLvz+YMYh5BnyXd+glEp2Ci4KGv5JrBVmvKz9wjYLRe7aFuPlt027MHXOp/ht5WwYDIZSAV6WffUz3pw4HPeNmEJjmzcQGV7DA7yU0vm/5tWUJvAixfH4RjUxYppbYndlAby4o8vCq3qcKtSUrC5t5adfixNlto620nXhleUXScSSIy7urFiN5ljZPAZdg/xx+onxaHaffWbMtTiW0tqnh/FSWj157euRoCK3RKR+UDAIU5xgYNKrRgjyj/0HAwMydqI4gExxwRVxTLWjTMyVRgyqRMEo37toBx1AQrchxvfd6pJk1TQCabq7tQ0XXkpsl4PEeuEYPW40nn36cTCoOzD6IQyqN8Sl+hhsSfK+jHO+Z8Rfjg5XO6N+TgOn28dOboPwLoWr/8oNNMaLZFc9TthMr/nlCgY+8h+697gR3/7vV1FMWmE7Y/u4I64rUzcdifU6PagyKGDc/heMB3YWMKcIhCQNIPUjo6B5cHip7o1ZMwzAsCU0P0vZtYj/MjCjTGdSEZg1fcEsuzbhykbJa8wd62tmsnxBui88GbLneOTowJk9w6lGMd71hAM5a8OkUF2cKnCFdFmSyb5VslsivGrh/RYLcDG5UMi2VDvVU1mV6IHqCrzkGnLwYfIixJFjqaspeAyWyLQ4Blb6h/wf+gTeab4OlKLa1oCLLCTTelwFXndkbRFaUSUJbouRJDic6i6t9sKMx+eb738e4MX1Xh/+79NI0aW4vkEplVzW6gMCC0Mtalvz69/47qdNWPHuZPF5RmY2+g4tZGKPfmIQ7ru7l2C8fLLyF/j4mHTisnNy0bJJfUwg85OOsc3c0njx8jLp1cm4u083AlueEBovy778WejBvPfJasRduIzpLz9ZBHhRas3IOqa8+AgG3tmzlHrKdjWeVKMSdm9pAS876Ua3vOBGN6Lmc2Z/eGfN+3rFSjRs3BC9enUvkauRUpeFtVlcFb8tK10WZ8ft7Ht71tEMstw34A4z2ML1hNCKLwtZPpd02gO8OOtYz/cVogeUYtHw9oEx7rS5XVJ/QwijBgQKVov5Pf8/gD6nz4ynjgrBaQ6eHIeS6Fhevh5ZuXqRcgeyG5ZMBuOBXabP7IQSkAHtw+hiWlBpgCuOToi0eHb1pOkQg0QVDzgp78bNmEICrTzR9tf740jCfuzZS5NVYpS8fB3lNqcF42DgfqRpUx3WymALswWVwemZN3Xqjay4LOgydMhOzIYuU0cvPXLofc6lXPEZM2JajCY76EAteDJvHdbgS+16N4v7HoevaptgxBhJq+aCarXdNroDvCQPvQNBSZeEPTWnfpVa0LVu2L1NXMOCiSWEgJUsJ/t7YhBQd2/RNFJnNtql1nZFRQzCMOPFVT0Y3lSK8XLKErNeXI08ov6f1yeggVcjVzdxqxyDMzzBCqc0owYkPOkBXtzqvmteeOfW7YLB3LJVS3Ts0qnM21NdgRdlx0rXrWQCMaWVshLQZBaJLdCCAY07QwaAU+6yjTmk3bRAVNs3qD9uIuctewyz0QmPiXKLoj5xen6lziRrw7A2kkwDtJcCqHRaZcewU7nH0TPgZrF4LO8NCXrSe8w7JwDbeN0507ERkBu2LArTpr5pbpMHeHF6eswFFsW9jwy9yXGxPGN0zCgEUhqxMv7afgBvzF+O9cRa4WChXU4/4piz+Bu0bFrPLGqr1FZhlkzSlTTMeMW0GJ52NRPd7xmF7T+9L1KFZHz700as37QbH84aJ4AVZxovEnjJzslDv4cnYc7UUfjlj+0W4roejZfyvGpKcV+lAbzwChLnXzICzjfPO4MHuNRCJfW4/6B+QpQqJ0+PHjf1JPp4sN06JMgSH2dyGXJFl0VosxCjhfPSK3rYs45OI22F23t3E6ALu4ZMfXMGQoJDxHv+7MyDt3mAl4p+cj3tg/H3H6Gb/ZroCe17K4F6NJlKJnYEAR623LocdZn+rfFQNWgC9ZCRcEVc1wzIcHrJ6WOCNSBEbR0wbRhcEYLWLMbKzBWahBu5rfzeReaKO6fd23hAWDv74CC86S+HqxbPiZcS8ffGv0TKiLuxd/Nu9E6+FQGGABLnzcOe5O249fE7kPNbPvIz81F3Wm1ExBQ6G1nXX1yRv+xL2dg2Yru5utDWoWj/djubzdfiJCKNTzk8NEd95Q7wIhlZ2inzoOrWy+E++TrSv/6iKCNS3Np0Ml0zBKxYXyP6Kc/DsOOvIvWZ3Zh4ewYYKf1MAIxS64fAGSO5N+nmvCauQfXIsaKcjlbaxG/JgY22u9dCWZaXDkzPjR9Taq5/pdVeNpmIDPXzAC+l1aHlUA+PI2eQzbpMextMVutR5K5lLwICA1GnLrEQbYC7rjbXFeBlIwlPryLhaVsh9ZPkdwEBAXjmhWcRSG2rasFAhXQAYybKDkrRsY6+QQNo3tDf4aFLnSJXtCOnk/sSs2uKIyTNjL6PPliKNm3boE27tnZTKA/+dwBL5yxGbLt2GDHKNOnm8AAvlfMKTs/IQs+Bz+HjuRPRoY1l2uzU2Z+iUf06NoEXBlrueGg8Ppw9Hm1aNKRUIyM63zkSny98Gdc1b2DuDNZnycnNw7Rxj7kFvHAFPxPgsvzbdWjfphnqRIbZbEd59rqH8VLC3i4J8MJIcEJ+HNGAPxI0YHeF23bQKsWKjz8vcgTW4ntSl4VXNITLEOm0WAc/yFj8VuqylJf4bQm73+bmZjYADa55tVXGff3vwNYtf4lV6D/+XCO0DfQqk8VZTupfODVmFJpe1CLtkecQ/qBpdaAsw0gTVhWlUpRneFKNyrO3S39fYoI6YYRLYtHu7t0V4MVenQKQIZYLi1mzjkxZgyvKdjBTw0t1Cr7GrQJwUcFyBShLdTtSKc2GgVdmt9kLBqSfHf4UAvyLN3hvkdEKLbOus1l9KjFd7lhxe5kB11tHbLMQ4234YAM0fLChzbZIFhA7N+UYC0WHJeslCbORp2prc1t3gJezk0ej7p6/xbWgdJJje2oRBcwrfqtfPMsueCfYVG07Q9WQgLradYVDHYf6tv4m4E/oythnYykPhEFAIbQ+cjzUA03ppAy8cLqRGbhRsMT4ewHi8Ivfs602hQRzTJ+5xrZx9/dYpDzn+dBkd+0PP+MXerkislvifbpZgQd4cbPDKkDxhbPmgw0SWJvK1tjQVhOv79YFw554pNittwZeXGVcO9rhIAKMevexr09V7MZWoA0ZhGFtlCukn8SsEQZkSPULL0a84lR7aAo5CDkS11YepjsgjXX3SMFw+TnPLbr26FoEhJGObtb3MQ/wUoEuODebsvjzH8hKegOmjn0Undu1RC4BJb/8uYPSi77DvGmj0L1Ta5viuku/+AnMmFm+yJSm9Ma8z3H8dDzemjSctFlC8feOQ5hErkcfzRmP2FaN3QZeuM6hz74l3JQeGniLB3hx87xWuOKuAi8SZIknoIXtCTk3Wgph8UG5K6bL28gbV2z7tmjYsJ5gvHz/3Q+ij9ieMuEcC+CSE4iN4IdsM2KxsDZLXXJZqCi6LCU9wfo5U2BY/4PJOprYADxQ55CWrgy6/LpmCFrFbBKf8+SDJ24cSXPSkfl7LtZEtcHhiPpuN8XX1xeDH7gXzVrYtqtWVmj8bjl0y+ZCM3Qk1EMdr0C73RAHG3iAl9LszfKtSzh0TSTQhSaZmoFDaMV+XKk2oCTAS6k2xEllnDJTCLTsF7olyuDfdB5iiYbdHflojLVrN2DurLeF3goDL8EhxHKjFBsGXmNi6pkFZg/s24uAQ2FQUWJ6ZrZJK+dyTqJF3Um5hfvK0mUIQVuuq1uPnsj/1QD1BTVaTmwJTQ011i35Fd4JPnR/8Uby9ZcxfNKTZdZNl7cTfftHE6CecsiUztSBXJBqkBuSdXgZjyAYXyBN9Rh01D8ypPtRaTXy6ppspCzJdLk6NVlbq5+ia5pT3CgNTrhX2bAH5wptiaUL8IWFpU8dNwlJJ54XItLW4IyqQVMC5EngUmPKD5fPDJcbaqOgRXofMWyUqX0WYI0AddxIjaLfvHHbRhiI5Sa0aEZPRmqX3mDWC4erIrslOTZ3tvUAL+701rUvKwXBOXVt3OQJ+P7rVUhLsZ8OmZmdLcAZd1PdrI/0wtlTOHUmDv8e/k+IUjPrxjp4H+x0c+c9dxX5TrqO8RecJsVApCuW7Ne+x69dCxZdnoFjJJbNjkpRXpauM8pWceoTM/BZW+Y5zSTxlTtsTJlyy4AKA3qcfitDCcLwwjE7ulkDZh7g5dpdI6Wx529+3IivVv+Os/GX4Es6Lh2IZTJyWD+0IXtpDluuRpwOxKyXl58bitt7dUZuXj4WLP0OP/2+DVeJSdO4fl08+/hA9O5ucnbkVKPh42aBF4Ks47MFLwvAR6Yaye8PHz2N+0dOw0RaaHn4vttFOz5c8WOROjQaDfavL5m+kbN+9DBenPWQk+83nz+A2l51EaC2XCVllXF7IIv5JkQiujGk9O1Lf4eEPu4UsbZuitKKsnfvHkLj5Y0pM4uALQyy1CRve3YYiiYKaVMrDYESdkGF2dxIA3bdBJNAouYpWtEssI5mZ5E59OJJ169rHkLX1qb0A2XoVbWRtvgE0tfkYF1wNL1iinVcjh7+ZpFRcv1QrvAq23r44GESnfJx6nBRrMbRRh7gpbg9d+23k6kbZaVHUZGBF04f8lNtpdShg2agVJ4RtkfORTtiacQi1xhLLLYCRgU/oLdsxr39b3fp5LWp2RETmr/uUllHhXp+eYMAZHhysOmPjWJScWe/vi650JR451TB6a9O0+sMfGv5ov2b7eBXy8+lav2MfyIU77hU1pVCuot6nJ+Yhn21r0enW/uKTczOWvwf6a7F7wkwUb841WbqGQMOAkwhMMbAoEziBWhemAJ1d/dXt/kebJ26ZDy0B/pP3oXm0WdJcoBYJRTSCcy6zcK5iYPT6wpYNq6ybaz7TII1qoZNoZk63/w1H6/x959Mx8rHrgg+Zs1rc81Czu6I7LpyzkpaxgO8lLQHy2/748SAXjhrntihK65asmUTnhsn0pJcBf3KmnHNk3tm7bA21mhKv/OE7R6QwIvL/bOBgOmNtp3yrFO9uM5w0nbi4MVe/n7mQpPWB19nLGmwnYAWJQgj2zH08YfNVtL8WVUBXniBqAYWwSd8rstd7ilYPXrAA7yU8DwPPvgAWvnGoqNfZxwj94B4XZwFk0VZfTPvFogiZ4BoslSrS3Zq0SRcZS8++/AT7N65y6XWTXztJTRr2kAAL0eOnsH+PfvEdpVJl8XZgRoO7nZWhGZZG4VYqJINsGzJe5gyebzY9tvP78a9d5oUwNPwDLFdGpOEZgbyjY3EZM1/eQ+kfZGFvMEPI2fgw873pyjBooffUz6ykjZpmjAcMw2gOQ3DahAtae+SnXM6PRv7XhlLNrJapISQ/R4J3YW1akM5sLGlNmkrK+CFJ5fJ5NpRWXSA3Dq5FaCwUkxXM2OpmcmlIiE7DRKhU7nP0OLD8sIxRBifFSl3Rq+eyFF1R3puA3IjKF66TWl1FbPQvFWH4GfcYtZpUdbN7jvZqh7IM7YRrDV7MWPKVDTa3gpHAg9g6LRHEeAdSMLh5yjl8hyuUuoRv084d44E3VIRldQAd9QdgNDWNcxMkZxEsktWBIvZymD7Zz2J3cpIOn8ZNTvWRPc33HdEKq1+k/Xse3k/Ug6n0LHY13spzj7dSTWqa7xV7OL+5xph3qIlxdmdzW1OnTyBTRt+x/Vdugl9LndDl6VDfnq+Qwtud+tUWrhD2GoX2re7AtYw85GBKLZ2VwI5Is2KHMf4r37FYjPTp7giu+4el7vlPcCLuz3mXnnJDLHHQEghtkpoqP10St4bA8JsynAhPgEXzl9wmymyiEAOnlzzgp50s/T396NUEmIZkjZWAtXLE21mXNszaajXgJmG0WjUpEmJGdcM7LBGDU/2p05/vczSOd07UxWv9Lr0H/HT1e8Fk8VZZJ/PQfZHOuGmxNea0oXN2bb8fWvSdxk5+ukiRfn6ZYYSgzEMmHFMeed1hEcUtqkqAC9Bxs8RhOWm4w8vqsnjSh96ylTdHvAALyU8twy82ApWA48mcIUpfQy0cCqRveAHoVK0lv8/ddJrZrEzR00MIdr860SjD/TTlsjVqITdUGabc3qF4YslIn3I1dDOXEaD1Y4Wq93z3myDMSNNgsOpqvHIwm1FqpPAC9PYeXt3ggWKmTbpS/oFvUl/2B5F/oRPMJI1PkjR+uCud2YLoVQGi3hgnXtDH3ivstTsyVZpkExlBRDTuQvCW7U2OXlEkrhdUIg7TRRl3QVe9u/Zj9XfrnK6H7mSwfTg0ePGlBpQ5HTH1aCA2Rad0+dmEujCoqMFEWZ8Bb7YgUuq5dCjkOnharfYsltmZxtO0WFgI4fSdaQOkqt1Fqccrw75qEgM13iQdFocpw/Z0x+x3i8LZn8z6Su0z+jiVpMin4pA6770O3MzWMW/JIKTbu7OYXEW3N33yn6h++JI70VWwvIhZ1aeRninmghqal+YvTjAiypiiznFi9O7WNA8mlI+OTjVS3xGz7H5c6ZDr9cXpG7dKFLAWl3XRvxVxiMPDcbvv60VHzGLkdO8upE1Nqd8tWrdxqGOT35GPnY+uwu5ySZAzS/SDxpygWryeGOExVraY5bm+bBVl2BAErOF2Y/KMIMtt/YTQAuHdGNikF67yiQsXBFFdj3Ai+tXjVysSKaxA4t559C4L5tSefh9SkF6Bqf2MLvEFlPghUnjCLgodKmSWi28+MMMZ3vBOn/S9p7ZzyzS7E5IjSFXt+ExAS/IKBnXrojrulo/l5MsHM/4w3GvGYyUDqty7tgnbetHPPuUWPizDmWql/yOF97EPdXXD7Wj6kCrtbT6ta6Dr/+szEzE1LdMe6rMwIvSOZCPNwuk6xZuSgv1hKcHZA94gJcSXgsSeGGLt5sCbxMgSxS97Fm6yd3xTYdXBjhflnMd+WEbRg8oXkHg1YMN6/8UKUGuPhT9fTSVCnjhVT1+SUo329YK6rnI06fVQvm3wC1FDEZdEDFURdWD+vlXhUsROxixoOaU8TGYOsF0c7cHuvB3QTvvR/JrtjVxinOZSIvdlKiGWHv4OHamF66Oc33MVGJtHSnuKPeR264rfNMpz9qJW8xv7fsgpVmsGNTwgKNJsyZOV3vcBV7kA9iV4+cVJx4k8krYJDo2W8FAmvF3AtFIWFOKW7pSd3Uto7RFV6akcX9w2k24cazomhx0J+7WILe7yUt1AiHGxWABWi9KmVTp9kFr2G9Rj1kzBcQwIe2U0giVkfRRyGHHWfoQM3AkI83Zfvk3/+8/h/DrLz8S6PoXriQkYUyLV9AypLDNWWrHmiPp2nS0fqU1rd62cba7Cv99Kmm97J1sYj/a03uRBxH3QzyOLzuOUNKEaU/aMPbCc2PiVQAAIABJREFUHeClFoaBB6INO+zGmThL5pCs358sKVuEtEGUXz3cEHEz0vJTcCTtEI5cPYT/6MXB4AqDKte1oRf9/fbdr4Q999nMU+Yysj5l2dvv7FcEiFH2ifIYnR13WZ1sodv0LLkqscsXA/4KsMV6n7rBNwphYOm+JCfAcmI76P57rzng7QFeil4ptgBZnrjOJJaGLW0TR9cajxEl+6AvaZ9I/RNrQVNXrldOi76z312C0eBO5JH+wq5tOxBEzpn8vGeNlnhitzCDQZo0MNvaEeO6tIEXTuncsP4P0Z/cBnbJaUpt8IRlD+SR9sXZM2ecdssq0vrhuYmr6WROK3SjQGUFXpQsF05/Tlc9LBZ469Z07/flRld5ilbSHvAALyU8cYOXDwEOaND3untsioDJ6qVq+yFKSWF3IVfU45UPVmfNrAjAiwRTuK0q0jFxBqY4Oyb5Pa/6qV+cZk6vcLYdT8DuG3CHAF9cBV24Tp+0BxF48QKSd91M7AH7tq+29s8rVZKtwnn46ifHifYqV4d4gMzn9MC+A2LFSa4mKEVTmeGS+NaHaNKhg9iNoLALxxiTxsGVs2cEmyY0LUkwZ3YFRBAzQYtstUaU50FHzfoNULMBMa4IkAmlvFslYBUe4oNU/3DoybLNlZBCaQwAhhXk8NraTtJRF82eLwY/trRuxHG+MdacciXO62tzysRS2JVjq+hlHInpWlBZS+FAklXT4BvYC3n5emTnpMFftR4+BbbMSpcgZsPkUpoPAyIsXutOShLrtLAorq30IVlvLrnpOEsfkofLwEriyUTs/mMHEo9fwqVjF1A/oBH8tYHirzl4gc9Amq2B+3HS/7jT3pq+YBbYnrQyRj79rL0UenOO9F7ST11F7uU8pJ9Kx4U/Lwp2jFeAF3p+dYPdQ7cGXphBosvUIftyjtgm71IuWWfr6LN8xN48DUGRCbiMD5B0NZxSu9JEeteZrWex/5s9qKELswDFrHeaSeLFe8mSm4GYPcnbkKU3gWYvX/eOeTsuc44AGLbutgXEcHlOR+pOrBgGbfL/NqD2uRjE3BONpsOb0rFfxa4xe0S9Upunop53CdAz643vndY2wHzv5+dLr2vo7OIBXiyvHile++JL49GwcaHLmFLUlpkgvNjm5+cHXzqH/D6sgLHCn4lnOo0dZMg0MzZVYIBBjjG4HAMxzJxxFlzf9SRcW5phzdx2VHdpAy+8L94/iwMz85iDbbGv5W+hNPu2tOqa9eZ0nDtzzuXqFi173+WypVWwsgEv1iyXTNUgXDUOM4+NPMBLaV0ZVaceD/BSwnM5e+4ybNu8xaawF68AnBDCUsdtuguxGBivCvBDsDXR+ZhOKlgwtILgSw/cm2+7BeyU40qUFfDiFEwhloozZoat9lswWMhSWViMsr0ogRVGXv1j9wdmuZADhDuxbu1PQtPFXdCF9+GVNgIRwWfgyE7VXlv4ob9v6ABcn3UZ2kVfYtflNKG0L1e0mP4rBTblQIkHTvw5W3f76ch2bfJEHNRr8fzsWU5XLnWP3OWyhaqj/jO7cchC7LhRYJ3KHy2PT0Wqxlu0SYYj5pFyMiCBQ+t0Mbm9YDyR1azmVQJfCtyn3DnXVbksA276iSNNTiY0yeLJFoc/fgODLtLJJy29N5L/8UFU1wtud4cGF831XMIKBAXFCOAlK1dvURcza/ywhVKatgoGgzJYa4WBGAGYWLFhZPqQPZtn3pZ1lhjAsZc+xCkzPKnnCX026atknM4QE/2MU5k0wc93eMwMIgQ2CsApn1PYd3IPAhsHObUbDQsLQ9MWzdzuy4qwQYJehXnpvsQiIhDBJx83eOuIeQnY0ns5+OYhJO1MstnsVmNaCv0THenXcJ9zsNYNgymsj0IepshJyzd/Z+/Yb31zBWq1IT2dxDeQsCMaqaQ5k3oorch5C2wUROfT5CJV754YIXCbtP1KkfoZWGGQpWdkHwEQcRtl+2QblEDMedU5Kn9asB5lSNAmdFgw2t9nSifdR6wgdoKK6BpOqaK+ol4ZWtqPl/L/lJakDjCB3Bx+EYXPZ96ORZXLKvSvvyg0YMQ9c8YS8Wzk5w6PG3YSA4FZshwMet9BYs7K9OWyapN1vR7gxdQj/ByUixD8f6X2G2tcLP/YlFJcHEaBFJNlZmlbGjfyOINBF14c4cWW8oqSpFaWBfAij1u52OVxOrK8GkYPf0Z8wHMPeyGdq5hdNW36G+V1OZn3U5mAF2uWS4pqQpFxkAd4KfdLqMLv0AO8lPAU7dx3zCzs9dy453H82AkhLMbiUUzDVAbf7KJIUIxFyErbWcgd4KWygSmuniIGW7p2aCmKS6YLr6SnkKYLp2LI4Mlc5plMMbFQRs2Yqajf9CR49V9Z3tX9j37iadQPC0ZIg0bmHGpbOcdy4GSvXldWGQxHDwO7CkS7lO4gXCmzZNhOlYLtVLMTL4kBOoefgQTTjJYTa1ePz7qcBWgTVd8EoBBgKFfkQnU5mNCkJnz+/t28qfrWe6AeQkKSFNIamYEYpWBscdtTlbazENN97yuaDGYhjK5LaX3OVNYzZ6Zh98sXxES26wfXwz/KPZYGAylhximi284Tw8UVVyONkSwCyV2IWSucKmTNhmFdGDaGsaXTIt2HmC3D7kPMlmHGRPoZEhUlodpsYlyweC2DKyxcKyfjjs4rT9q9aCIc2DCQJs20OkxOPj4R3uK9nARLGr61bWVVul74WH7L0dKrcOIvAZjOqek48qql3svmB/8W1w2n2HDfhbYJxYU/LoBtqd0JCYD41vIRmzH4IMGLxq3no3brf/HzmCeQcrqWuVo+Z6GtQ1CTgI6gBoHiPO1+cTfyruaj8/xO5vPG9+mkHVcIhEkquCYKgTbJWOHr5wqVST+dbhOsYSDmgooE73EOh87vw7Mxk8CffZS3AE+PHSM0ZC59exlXN5nul6UZrB+jDNlH/BlfnzICGwUipp/zCXP+ibNQvfGMKUVXAb7Iejb+vkFMwnncwc+d4cSGKM+JOLfDA7yQEYziPMj0Wz4fvNDCTFflYszQx4YV65KTE2i5sT0tjmJV7mAjBtMZ9I//KR5ZJHJN/DFoa9WHT2Q4/BvWRhBdy65EWQIvvH8Gt75b+Z34LfBYe/ioJ68JEOlKX5RnGXndOBtjfvfVN2hB5g4sklveURbAC49brEONdBq/FE09VqsyhemGMric2mj5jOBFMLkAlk5ptZxaZCs8wEt5X0EVf3/VAnhZ+sVP+OybddCRcF/fW7piMnmFazRFBabslTt5JgFT53yGoyfPITwsBOOefgA39zDlwZ+/km0W9rI+3VL1nR+4ruhvlORykcBLyvrfCjRSrDRTKhgzpSTHar0tr2jGE+jy7ddfYOnidzHvzYYkpEvMGQJdLqtmQ0dCoRw8kL9IlHpJq7eup9tzP6LxLYcc6sA4ardMy+EyMq3IHp3315/WIulykhgYsNgd521z9CaauMzbLs0+kppCqZcvIC4hEcf+OyZWSn0ZiDEUAjEmYMYESN2YfgFtclKIARMEBNKrIOzZp2rHUjoYASvMcDn62lg0PldohSoBF2a28EOQ2RZeiX8jc9onyD+lF+lQvjNfgq6W/TSH0uyPilyXUkzX+/35CI78k5gu60STZe7w0R9aCU0OGXIi6u5xRRqH4/LhMJw6/LSwcfQJ90WezgBtwcq+l7+GJtOmybz1ir7QaeHUITtsGJk+lHQmFhkZLZF2OkiwJtxhrUgGQ5YuE2ezTiGqXTTadumApp2ai5crIX+XxVlddqX+ilDmn3wNVmZ5E3sI6O+XD/7/CV3hM67J0SQ0e2unaGrs5DY4+NYhi7SiZGLLrNiZicarj6OuF51/AlD4vPtGmgAVBhH4muBXJNlTp+kNTm2qfS+9ibDITdj+bl8CZMMQQBOzGgS48CTNQJ4PMoSjFqU++ui3EO0w2KaOEAMsmaczcXkHMQqpbTH9Y6D1LyreKIGYlMPE1CMWizUjhvd5JO0g3v6nUINKQ6makx54A4MG3G9Ok5JtY3aVjkDAwv+bUqtk5BATS1nWGQvL3rXS7cOu8KtdCMbwcaT9k0ZMnBTxe2FGDkd0Fw0aHZthF3xRMi2uRepRdQZerFNdJPPI2ijB2djAlfvJdNKHkenq5WEpzmmi/lhvfg7ZamNaQn0c3jzZlebDh541BvrN59OzxjqUvzkGhfnZVpzgcdWy95YIoMsjumtKxZpIVuBKq+fi9GtpbuNr3EQLOGfNVWpUidDQTUSrUSE333RtqGmcYQ2E8OcalQ0whcoqF4NKs6226uLxGDPk2RXVXniAl7I+C5Wv/ioPvGzf8y9emfkRPlvwEkKCAvD0pHkEvnTBgwNusThbjsr1f2wy7r3rJgwZdCu27DqMF6e+i79WLyL1bm8BvCxf9hl2bt9hEjgldL0ZpQ81bmZKISqv8E2+iOwpL0J3/IjTXZZVmo/THVsV4ImbugBxtkaftQU3VUaa7VnKOtpfpjEQa/LmC3cWv8vZ8P/rPHI3nhc6BhxXWoQhO9xyRbJv9ErEPrhZKJFnwWSF6k68v/BLHDiULsRlRzzzpMPzz2wDfpgodTLcyZF2p13KskpxXUlTl+ltPEDhwYp0UPAnEOb+5BPCXrvrsEeL7FJaqBrZxpucOXgVVt3tJnKg+tGcBrXTPwK7G7XD0EkTRX8EGFcjBIV5w4YMAy5OpPQDAl+8b+0C49jFxT20KrGdkazHdROGi2MJGnsDQvqkmFdVOHc4wzgQJ1Zm4/RXZ0QZTo9gloJkHrjdCTQ3z75YaJHsyvbKfbEjDDNOeDLs45+MwIDt8A7IxaXD9XA1sYXTdBQGVpJyE5GUcwmXcy+J95xSksXaHVmnSZuD3GpIVPW2O+8W792NijjYdPcYXCk/l1KMzhN4EqY24uVg0z3uJAEvu/K02J1nSo1pSqAKv2RktwxDxpTOCFUbqKxGlOftO1GKkr1g16YAXw0ysu2Xkdu2SF6MrnW+dqX5FmUYsMtS3YZsEnNmYWV3dISsd8Zge9phAjAUQMzVHsnYFP+bAOvj4uhFf1kH5rcNJm2I0gretzKkDg5/xqlzHJe3XyYwKYkmlzHEFggQv+VsSuuyxfbi3x0DO4H+6WiZOp9S/wgUt8F84Wv+1x9/MacecZrLoPsHl8uKf3UFXhwBXls2/Y3f1q4TzIsu3buUCtuZz/H2v7chPDLCputMaV3DDLgEky2uNw6Yq7x0yGRU4F2rAQIi08QEmCfHPOG1ZreVRjvq3FJHsPKC6BXQMKBIOp/h4G7g2L9Q31uUccDnZen7HwqQqrqL7nJfsBPatUohsr4WePxfBwNL4xJxWoctYMRAzxmjsShLmD83EBtXGUYEwGBVluu05Y5q3RgP8OL09FS7AlUeeHl93ueoExmGEUPuFid3w9Z9gv3y6fxJFifbXrllc8Zj9drNGHhnT0JhTQPYLnc9jW8/nIZ6UZECeOFc17S0q6hRw31739K44niF3LBiMQmxEnWOdVHadi4VzRQlPY8ZCjKUVDyl5gN/Lql7WoUWhEpB3ZMP6NI4bnt1XDbUxtzMd3DW0BRRm+PFZMM/yTQIZsDl+MCmSG5ZFBQbu/FVdOy/oURN+/SbcNSIed6mcJ0YiGedR4MGU8yTaXaMSTLOKtHkwp0Gu+JqpARk+GHdsXNH1KpjH9Fnhovu0bssmiEZLjM+/EwMelo0D8bkcURHLmBuSKcc1gfJO5CM3ImvQtO2JdQzvnTncKpUWSGmO+oB4VwSMsQfNYaSLzkFA4HpGCpWVaRYKn/ONsEjP3wIj2qfRW2/uiXqiz1XtglGSYSPKSWE3Wb8tfwKFO/ZLSaA3hdnRZ/ZEpxmwekV+47vxKEL+7Bz31ah1yEFU2XjlUALi6HyfksSMu3NHYe4kuzvWmybRQuDr12lNCvSdnkpiEBmKzInf/83ATCbc70Q+9Z21PwvWTTz9G0NcGRoqzJr8mCfjzHY92NRfw6BKHLVUvk84O/kM4RXDxmIt5W+xvpB7oo52zww1hRXiA8zW7JV47riOvv3JImYl3MkEejC7CPrkPpENVqT1Talg3FKVgYxfo4sPCIWD3yMyYjNf0+AL6wBlTd2YRFGmjLdgkHvm/rcLIRXeeLFumL8t7R1YKoL8MJjvtVff4fYDu0JwIvDqpXfilN4rZkVnP7AKaDKSaL1pFNnNN3jfVXb6XfZzcwwUxvTaByiEUxhay0x/m3yJPOflc1x4qsspGqT4fOgGrHEPmS79xrG2eLZnnEpBJmJpTcOvnS4Pg6u7Gnx8wj3O4voBpfIjY9SnRh0KQjtO4uhat+lyG/JHdFdPpfnSWeRDRA4etFvRumOxOMh/l1dIQtwFkFmR0kGdIROH/2/tH9PpXk7qmjAC19jNWjsy2PBHGM3cah8rXpp1fCmV2aOCdwXQIgNgERPaW7WYSCApCRAfWn2t6zLA7yURa9W7jqrPPDyxNiZeKD/zbj1xk7iTJ0+dwGPvTADG1fNtzhzrpY7dOQUnn9tEX7/ei7Y4eGzL1eJPPGo6JhyvxKEAOeoB83sAt87B8D4QD+a5Jjy9K3zEpnGx2FN3VNS9qzFM8vyoFLTdOAXh3h/VY969BAXN+CCm2pQSAiWrzyE5V+dJPvCaATT/3lCxg/7qJh64r2cnPGK7QcZPmIC0mRLHGp+d8IMuLCWgeHexshqFUbfmxx96tJKr2/BIDyHPor79BsMfOJDkc5h66buqC94MsH6G2cuNIZ33cVm7YpMFgFNPEMuKf+g7nU7hdgkBw9QOAJrEdujHMEXV4CX4pxzBv4Mq7+kFdjmFg5UqUn/4NJ/r6J3j8L8WOt8WBaQZccOBg21n/1cnN1X2m141YcHCkoxXb9u3oh8LdicVsQDXk49+G/Bf2J1nCdlTUc0xozVU/HNV8vFsYf7RJIdtLf55U3vOfz9TSs31n8D6PN6hobomHu9+P4z7bs4fvYIzpJrlr3g3xz/3mqHRaF5w5Zk1RuLcN9a4jcpV/B5W3a1CaDVe05TOnRhP/49fAjryOL5n8MHLYROuax0nOlGbJau3YnhU0KgxbrtG0hv4XuaFFVlkUVOK/ok0xtNtAY8FWjbtpn7hQGYvQn5SH33X/gfSUbis20RdVOkSE8CMVkiaIh72ahAJWxcCO4wXnL06/GU/9s0sWuLJEr5dDVYzFk6ailX2nl7riuDmF/F0eCyt38GXhiA2b73iHiulGcY6Zxse3yrsKLiFf0arUPpFUzsF9ui8nwfiP+R7Ht/SIA645IZfEklkeo0emUFtUROUH34NQoXqWJZmkz8ue0P5KvzkKZNRUz+eXpOGZDgFYAULT0radLIAAxrwdQkJx17oAxP2tj+uG//u3HTLb3sdhEDLzs3/4Wduw7h0ZGPVeiJaEnO8w6afK8ggVyp4cJ1Xct7DD9HAvE9JfCZngfuBDMp0/A0jXqG0tgwk+4CAeaFIZnamnqpGTEtc3CRdKA43jo8ycLuvXPH2lj/dckZ3syA1V0ykOaXEfxeW4uYeH92x4X/eaGm4TACjQnQ0q9fGTqCH/kzzcAhUI8cZ/fQlfbrnHbKoQRa2NTClr036+ewNg9rNzqz/+bfD18T/HuqaMCM1BZkrcnRJMRc1iFTynk/zGDnuQUvzvLnDMJLcf801TMEtxcyX8pC46Wsj9VR/dUJeDl+Oh4z31spZDn0BgOiaodjzIh70b1TayH10faWJ2iMakoRVtOYo0FMbYx96n706Fz0ez8fb7Rr3RTPPNIfbVoqXCqv5ckspX1XeeBlyKg3MXJYP9zYta3osvMXkzDg8Vew8xfLlAZXysVfuIwnx8/Gq2MeRrdO14n6eCA6aPB9+HR58Vfqv/7qCyQnJ+PBIcOINWNa4dUn0IV7cJ/D05y/fxdy165BfG4+TnXqgR5jG6BRLZOzQWnEmXOFD7gzcYUDegmS8D6UZchmgSaRQQihY2BqXhqBKfXI2pgBleCQKNGkkNAoUSY42AQ81KtvGujWp3LFjQM5KuzLUWNbFg1ez15FxwV7zIBLeLtQNBvWGBFtw5xW//Gzu8lq9Dxqj4hBh34mDR9XQ6PbD//cMUi/3AIbpz8Ktf44Yroco5z8owhrZAK8ZDBVd+tCEwPr1je/EOCLQdMUmd7z6G7kmjidq+2yLhfoqyXXGh2tIBS3Bte38877FN66X6EqYD9t2BKEVN396NN3qEUl+osJSPu/22mQpUbwtwdd30ElL6k2nEBADg2AaNB8eT7RVtcdhiZSjbofxCA/5D7keT8qjjDzYhZ2TSXQ4sRV+JMOxPVT2+H9r+fjnbdeR8cON6B+vSbF7oleyX3Q4vqm6Pp6B6Hxwit5Sckp2EKTp7Nnz+IcpWH8/dcmMTFNTS10h1HukH+7bWLbit+y/B1vpm3+3rypyDaxbduJsnf3uwc9brjRfL8r9gE42XDZkk/x96YteOjhB3DbHZbppWW1z/Kq92iuCj9nqMF/Oe4OMqAfvZxFEmHdG64Y0DdCjYCiUmcON6fHHQJ8tMgoWI20Lqx0OlmQlIEemg/QOOAuhHoXj1mjMpAWlGELtLrN0Oj3m3en17SDTtuTAIUeMKrts/FsHczpfBUuKgyxXrinD/7dutHiGSSfS9bb8/OMgxcI+FkdQqAjgzWl8Rxzdt6U3+el0zN/9TlkfvcdGqZaTrZ5IpqhihJATJq6iXivV/kh0HAO7XWFC07ZxG5IJvDlhE8IUjQ+SPD2F4BMjto0MA6PIIZigD8dWwxSExPRZ+MqJHS9BXe99bbdpmZlZmHcmJfAfyNo+/CImqhJf2WEF6Rf8+fWn9VUfMbbVuRYs+pHrFn1g2git3XA4H7ocWOhgD9/rr+QAD2N0TTtOkNTxzT+KWlwKrkxg8B6Ykf6dI+Btx85zdFzxHh+D66uyYZ3I3LdqtuCxliFKRQa+g1ZBP1fQ06S6jqkt1bwmzIS00A+p7ks/z+Xnj+n/myDc7+dR9L+FHMVp1I3ISDrc8TnEQhIY8+rpPf0b1Yu/KI1uK5FpMU9P5hY4sHEXoj2NumERft4ifdBpLEYrNWI94ZMA7E8jQJwcSW8G9eAqlkv6Jp2x9nTkdDt24kG8e/Dq31nBC34xGEVr738hrBTbtmqOWnsXcFl0tlTBp/LGLreO3Zqhz2792PvbssxOP8eOAYMvkdc40kESPLfc2fjhGafs2jUqAFemjLRPPl0Vr40v9+7Zz8WznkPHTq1x3MvmtyNyir8aVyjvF/b348W6X5rLMa9rO/iRddHdl7pmECU1TG6Wm+QX1EtMle3rWzl7hwyEY/dfwfuvbsXr+Xgt027MHn6MvzxzTxafPYVwMsf385F7YgwAcT8sXkPXpnxMdZ+MQM1QgItvr98JRU/rt+KDz77AUtmjkWHNk0rW3fYbW+VB16Gj5uFQXfeKHRdOI6ejMPICXOKMF6clePtnn91ESY9+xB6dW9n7lAGXjgO/XusWODB3zTB6XtHH1EHD+QeGvow7urVC23efZsQf9ecFiZlJWLie/UJHTQ9bNf8ckWAHUpGCX8uwRP+nEERGfJz3n8KUdblIJJXn3lgyUAK/63B/y94rwROuJwEjMrrl8GTjW3ZahzPUyOp4P6spfz33mM3wIssT3mC2uLhRoi51fUUjK/fOgLfjfFoPCIarf/P5I7kchgyEJTTD3mZPsjL8BVgSuFFEgiduj1NFHpAp4rF6d0++DBDizZLDyJCfaEQfKFB8o5Pxgt2gwwWs/SiF4c3W5sq7EpjbqvjcvNkwQB6CGTl6EV6nEVQ+5niry4YpKlU/P9MZKU1wMXdhauvXoEaaArsVbld0mo1oBYNSAoWy7306+BDoIscyOVr7sDBk93w9lsrxC75wc+rQcoY9OUc8d8w1lkoY/DJ7U4r6QbUt2pK1VMTAKVT0b2Djk9tPGkGXa6uzkbKh6SaH6BC+OIHoI9+jCaTpnPLoMvW8XuRRTosfE13n9UBn6/6CBMnkHhx41Zo28bEWOHgQSFTnblvAwoGiFJnSk50eDLFEU6r22tW/4T//j0qBmEdOrYTwIvejuAhb8NsmMOHDtIg8ywOHjyAQ/RiYMYeIMPbxBLIIoGW1qTVUhKAtTinYeG8D8TgWR5jceqoaNvwfe8PAlzidKYfXDhlwDb1NuDuQD3Cy3iM54zxYqSbgIptrSjmJmsFKPRimA7NfUoB6aXfkbd+FXx03wmwUgb/VvI1dG/V3EAsMRJSd3D/YJ3cFxMtLZ/3vjkGRz9dUGqn2QTI1BDPUcngVIKSMcTULC2ghgEYMtWG/sBu5O/fTZPQXdCdKBQ1lwfFjBhfSk/i1KQchIptrJkDsiwDMgneASZWDAEyJ3yC0ZnGGDdlXERucCjq/PiX3b763/c/Iv7zj1BTl4tfQ0rOApb3NHF/K7ivMaNAPj9M35ueJfLexv/3J3c9Dgnm8H1R3hNL40QLQPevreh+Q1cMvPceAb7IYMAlb93/kLf2B/CigpqE6QMXfAxtkxYWu1YZLkBrLLrQkH+KFkYySHj2RCr05GClp/NpTE8vcl4ZpI/+LAypK7KQ9oWlg6azY+Q2+dw3DP6UbhgQ+rn5WZ18NhYI7oVDXzbDlYMp4rnDke+XixjVaagSv0SkOk2AJtbBIAyDMRwMqDDI4m5wu9gmnUEhfr600OcJcKdWT1/Uvd0f3o1J4JtYMLzIl8+/dwJg49eo4bXwRdHPwSt/hTrINluM2/Lbr3/gy+WFulNKoCWaHEfrE+gig0GZVydNQ1BQENoTENOhQ1ty+mmOTAJa7F1LvE0WGSXEnYsXQAyDO/x/JTAzafJYUU95x9+bt2HZ4k9wAwGEw0c+Wma75/Gfb+50UT+fHw4DAXkGElEHLboyw9dA6W5Guk8bVMRkUFmi/1oCXby0KmTnVhHgxd/930GZnZwyrDhfp0f7W4djw3fzEFGzMEX8bPwlRNeJoFGB0QKOcCIYAAAgAElEQVRYkU0Z9MSrePbxQUSOiLX5/fufrsG2Pf9g+SLXhLvL8BBLreoqD7y8tWA5agQHYtRjJirbL3/swKqfN+GjuRMsOtFRubjziRgxbjbefmlEEdStRcvrcPS/f+2eEGfUZRb2mxwdgTaEBspVgeCC1QCp12Kv8n8OHUB4hziE3+OHBvV8xSrFB1/VxqjR7wkhyugC2jQP9DhkWzhFhyOEWCfBNEB01sZSu9ocVMT6J+x4kp+lF9aybPUsHSmYMh3epSblgQJ/5XnjFE042IVDhh/xm2/0yYf/pvNI/foUWZWGov3bheCYq+3/Y/k5qL49SalavjQQcUy5V9bJKvysffF/BB6wsKh44BBxNxfthEhvnsrEtuJguv/vpLXwV64WjVOy0Pz5jSRQl2oGX47+3BFa3zzKk65hAnEyfUXOdEZB3jR/zhHa8BJqdO2C2jcXrvYGRl6lCX6hRR7TO2W6mdTf8fPKRn5+mulzBlqcqMBzStT6V4Y47cKojifR6qkgcrihlWmym5R9kILx5uNnqu/G1Rvgrw+g9CqivnsVglNz403Clr5rf6XV2ULrWac7riAFmOqtJXCF0/k45Yz/ss6RLctltjcPpdxmBrquJvZB6jM/C10X7ZR5UHXrZT6i9FMZOPTOIaHpwNdk+zfbYf+J3Xhx9Ci0bNEOnC7E0feeu4rlhCWp142bNaGBJOm40H3SQICcTl84SeZJjF/BJEbZ1UyplsH3ME4jios7h9Mnj4tcd77/dKPUIXkPulania2kWSy6MjgasQvRKXpxquR1Wj3CNJZgBYvksl10ssF0b5JCuJ28ipYtq/7m9NrIEB9cTLGk+9va3w/Zpvvcbb754Db6Uoqntf6McrtEOi42OalBAr+OyvFvzZ/sz2U6krUmDAuqs635eUN3XDbUQWpBf3G/5RPNfYD3GAK8LVkAb3ysQqsWr1KKgOnZyKK7tiKBrnHxPV3zV6+m0QJGmlmkV37ubt9zut3YCZMRTenK/Dzm1L2SpNwJ0fNDe2Ek/QvjyaMWOhjsUHesw2xcOZwnUpU4dYP1YgKN50n4PEGAM/YAGXeP6+Loqchp0hLJxKKTIYXbmVknI4V+nxxJV0x/OWQ5d/fpSnnlvSu8puk+Fqq4n3HKFYevAuAJCAxE69jW5urZVSj6yG70mTgZtdt1EJ8zC8X4+w8W4vI8hmMXQKF5NnKsABU4WGTe5+AC5BHIorukR95JHvcYhMi8o/BqpCGAXi220ScaBFjPaTkcvA+xzExgj6MwksMlp/dy8PWgHTQAWSFXEHX9Qfz63MPIzFKASPlxSMv4DR21+y2AFCmkb0yk3xHtj4/RntuhLTMHv9BQGGjfuWGR1AZ6jlG/cDllrFv7Ex4f9n/mj27qHoyXJ95Dacsa8YyVweOkS4+cF/3Ax6PqcTPUffpBFduxSDcYKP1h/9790Gq1CAsLpedTycFBV645LrOUHJY4ZWno4w+TyHJXVzcrtXIyPY7FtotrY+5KY2qQy4+/cR0SzgxDjv99RbSnnNXhSTVy1kOF3+fs3Apjrv30Ytdrcq+kX8/eNjcYPXkBLiWl4OF7b0eXDi0tABiZaiQZL7ICNq8ZR+lGnEWiZMTI70+ePY8BVGbvuqXXhCnmXs+4VrrKAy97Dx3DhDcW4/OFL9Pkwg9PEoDyf/f0xuC7bsSOfUeE01GLJvXgqNyjY6bjftrmzpuLCnd98c3/MPT+Aa71to1SDLIcbF+UQsWrGT9FZeHppbYHgFwVP4g2/q+NqDWPWAV630eRklXyPNtiHwxt6AhAySG3BgZXTEAFDRwU4EpJ9mm9Ldulhndxn6q85P3f0PTX4qPTt765Qmi4yJzp8wQQpRjVSCCQ6LxeTRMmtXAekfE06TEYPj2GuB9IfLbfTnQa/rtb3SDBmEByFihpmEGeAu0ZBnwY3LFg7ri4EwZrWBDv1J+0euYgGHy5HJaI8K4R6PPb2wJ8OPjiSCTmuD8YatexPepEuc5uUjZLS3aG+rzLOHa6cKWMB9p1repzFVyxdcis46PWE4Mt7QI0oWrkHCRb5fU5yPzd9NBUd+sNzZS55k1ZdPPI/P8EoBdB13KL51tgHzkeraSUxvx8E1utpLakUnjWxdNaqYstWlbopHWtD4TB1/N0L7hA9wTWpbK+L8j2MQDTmACYuhoDORNpLQAXAWZ4l/+KoDvAy2YCXf5H4It1MGDEwfpa/gTGhNL/OclgT4H7En/Hx86fR9Gxs+sSb8OaXAzK/EsOTNwfHFkEkIdgP1pq96FVwUu5PxZa353fk143kth6E7zo/7IoZx3/6tqTk9Is1NWWnJnDoAwHgzdKoIaBSQ7ppiTKFJS1dU3KBZGYmPoCjGFQaMjDj5NrontsTAHEnCI3q0s0IW/TCaradQWrUtpzJ22/YuE+ZgJiElAjMhu1G1yF5tIpMbk+n2dAnfxMl38+fE9Td+8NYy3XmJnWE2/eUTaJAWdlm0C+bGIOsDhwNqVCZatNjAtmE4jPsrPFe7lNDr3PpM94e7mtfO/yAVgVfGDYg+hxU0+h8/Hd5El4/OxuIWysfnEaDF8sIcDFlHrEwZ+rho4kk4O6RYTnBRCRccEMmFi3h0ENBiPUjaNF+q0Xpw8RwMJsD1E3AY+69X/gylwT64vr0zw13gK0d3aM7J7H7ZVt5vQ0HS2bkKoK9ni/hFOpG9HRaz9ae5muWbmfjH4P0E2pGWrYELFld0MjgygFbbJ1PmVdIezQRQB/lp2URVlu25bN+GblCrOWGX/OoP4Ecv7rRQCMdLzM2pGHCx94Q3upMN2HQRg16b6oyGmR+/Rax/ckxrxh/Z/FXigpafvlQosrCzVGFp/auo5+YDrz71cTGSzcfvhaBPWtPRHbWhhGoo3nse3J6xGX3VOkObLAPjsgso6VbyRpS9H/vUlwn3XrpNNoSY+vom4/dEvfMmtaPGVz6JMspQzKbGeKiqPX/gVNeGSRXTHr5ZsfNmDdxp04SHqojerVIamPe3B7r85mjRcJvHBZLvf2ghVY++VMWki0TEWSladnZKHr3c9g64/vifl6VYgqD7zwSfrs23VY9sVP4BM94I4bMJGFPGllYOy099G0YTSeephWCuyUSyBNmNsfHF8EaZv92tPo07OjcDVyFI4GVrwdP6zqfDJfPBhCXruBVkJWiRubOtD15Hue6Of7PAtvLw1SM/JK5bosbwAli6yddf5a5BMtj1/8PjvCn6ygsxD9dwJ9xmktXmJA7ij8o/wRO7WNOL/uxivT38Hadz/GAwMeQf9H77XYPIcG+PxiIIVXTrMLJk/Z9P4qpe/oqM0daxz5//bOAzyqogvDJwkJkNA7hF6kIyJFVKyIYEMQEBAQkaaiCAIqHVQ6SBGpUhQFQaXIj4IoWGgC0nvvLbRAaGn/ObOZzc1mazab3U2+eR4l2Z17Z+47N/fOfHMKPZ7/P/o95kM6E8P9tzGHL8I72WKhIwsn4byt/3YVeKzJDNPi8ET865QngHezErJEieWEDoBsL/ixLDJEMBERRYqymuFgw/qz6ITvTL9n4UW9/i5LMlShjK/8Q/9RrY6LSVJz3+L/7JWg43GcQrgEXT1W0K7gojPc3OF0qtqiSc5b694nygx+WpWqdOCa63Fuaj1Um9p1bJ+ki5IKU4q96PciphTiiYLsmnf9qCTv9gVSqWJ3qXL527zAuY/KV8hp1XLFGgsRV2LZhFYsdmL4rJIKV9rWFjyx00arAMTGXUo5j84AJQsiKaeWnaZDM01pfyXN7NVKEbSCrYV0YD93BRfddx1sT36XyVjRcO43++vfE7ODhKIXNpbXa9yxNn4nixtZ9PhSqVG7Ji+YHvVal4TmchYgRHw9w//Zey6IyCJPLpMgk/QZJuKDtwQXDc8V4UUsFBffCqFzLDLJz7f5+Wnr2vX59fPdUT1bg5k38AbVC/mLagRvozKB/yTJkCTPsTB2oZSsLec5CKksHHRKU/nu95hlaS5mSeykz0cPoz3swqetbOzNGVq0akufT5qW6vfytV3XOOX2Vbq2S1JvJ8bzkIbEgjRX1Zy0e9se2nr+X7ocYjuWhbgBDevKAf97dkz1Prp6Qll4E7ufJHt2JVjYGD+XWDe2ShQLPevCCtHt+6qooKmb1m2gx26co5evH092iPFZruZQh1dS2J8LKH7rQVVXW6fIz0EFc1B8NY6FUJrdTljMELHFkUAg55S05PlzL6C479ZRbKWXKfD5pHMVZzkd3MKL3tEbqXDkcs4uc8R82P7b0VQha6JgKuKZXJfRGtPZNmzVc1Z40cfL38lX0ybTTP5PfpYiAkyLVm2ow6txKqjwzvn1aM/8mhQe+ycVjNus5hPm55YIYSwEBjzzgtnqyN1rcPV4bwd6d0V4ifvffIqdNMrhJYowGM/0iTeqlCDDlkuZ2BrpLm8syb0ugt6FwNp0ObCKijdlWUTkDY/9S7k+2ioiCMaweGP7+yw8z7L9vRx3J8B2jEdH55fj79o53hEkTwovEYM/oji2vEzrkm/wCApMiNNpq+07d+/R6r+20uCxs2nWuA+pUvmSSYLrBgUGUpmSRXg93poerHZfMmFGn/fI8TP0SqdBtG3VjBSt69KajTPtZQjhxRkQKa3jSHhxdN74336mmLEDKcszJahgT9Nu0nV6mx9E5zg87WJHh/MDqQRnohhPWbPkpPN/nKd93x2jMm+Upnw1TRYfviKgSF9siSvGi5SJt2QdStwVjVcxW8rnDPD4pHjSlMk0YkBvh8ztVagzcjaVfqW9qiLXIju2spgqwxlHcrOYIjuqMrGWXRzljvFIPR63c7SXrRtqdlpFN+7lpKwvf5zMzcDYpkSFX3yb05/GmF5WEWxO74kSejmKXo6aR6vjGtPFkvYDWBb69xzVjb3LftAmq5GsBa2/CMX6Z+atLPRa6F3Kt/eKmuRLho4q14Yrc/dDHVvQiRD7ljLGaxUBQCbCIpK816sjZQ7gjCi0gyQzSsD5A3RrA5vU84RA/MJlkuCqqGnJ1ZG4YmscJKVlSNuGyqpHyhWOnXCkcm26dl812nL0JL3a7jUWeconSRd9scR52h+21yy4RN1i17DgeBo7cZJbrgi6j9Kn/r37UqnSpendD96jXNlC6F50LAdfTntLCk/cv5bnlMW8CKX2irjDiMAqxZFrjLN9XnUnk3IR0sX4XJBng1hxSEYiyyLulHNuZVZWco4yFjnbF3fruSK82GpLu4mKGCNCtozLAhZopIgVoDwrxSpIXITEMkgEqKv8r4hWVxPGrx4L16W5XihP+8VyxtZYWcuQdIPa0Y0A3pVNKIXjmyiBZsStFdSOxf20LpKVSltFyr2nxbmo08dVV26eOU4XN62l3ROHqCxgqyQOlgeLWMOc/+MCRWyM4BTWN5OkkI8KjKJMHWz/DYnrxjNsGXx26mSKP51gLeHA9UVfii1XlWSXyrHv9HPUgxiSnFqe158WNrkUSelw5yxViUi0RrYUzwMvLOX32Tdmi1ER+8RaQIq4CUkMl1ulu3PQ4vvNLtaSGU4ywolVsFgH37loer9bblLoPpRqVZIyPZK4QbeI5xSLv/+eBX9D5GgbgJ4v+wrdd60K5eesdHF5Y6l0wytU4tx+ivvVNOdUVjlizfMaW+0kbAikJmtXhRfdtjUB5vWWBWjOpHJ09eJjtHVBc3PmpZwcdFgyIRWM+zeJ+5zlWLl6XdErltG9/UdZwMlOMWEF2MK5iHlhLxtLxiIx+gLDTNZZR/Yfou9+mUeValSmTu90cbVZt+tri5umLZvTk/Wtu4qYGxnblaJ/20RB1SqqRBlSzH+fTv79aTc7fU6JMxXd4A2Kys6LbLZ4v33sElXc3yfVXBvdBpSCE5itusRVTrnMiQiV8HOC9VfR7j1ScGb/O+TcxSt0mLMa1auTdP4uCWnESKEpe5lYcyXSV2rLFWn8jB/o4NFT9OXw9MMRwoub97e7wkvctDEUu/hbyt0ljHK8nJUjdLTlSWE7p3t1/UAkRfJ/p5efptsJgdDEMkRcFNwp9kQSe99pwUT/K+biUsRcXIr+XBYbUvTE2TKegTt9T+mxvx4/R33f60I3TyT6D+tzOdM/EVTC6zem/rN/oPoSc8aK0ZLE5Xnz9ZZmE3MRX5597kWqeulBurj+Eg3b/THF5zMtfMXfX+LwSDHGytAxezq824viQhKtVa4Y4tLouAZyrHGnOZCD3l3hhbWOrasXMlLPuMNuuTvdMxvHGbEx397Dpv/iUiCLw/rsAnE3YWdbn08WE3I+aUs+k/+qcMyH9mEm66wbRyPpzjsd1K5bzpGN+GXvvFmwxA/YyMJLzoM3qfrFS0pc0UW78VjeDybxJYAzCCWIMfxzaN3MlKVasNoNlxgRW7ff5MCxV6lshRpU4j524zNYrjhzf4l1ypnTZ1QKyoMHDtGto4dpwPn/OPZEEC3JVZI284TNWKo9cD89kflp5XYmZWe27XQk1GT1IoLLvv3buW/RtJIXXe7Ef7Dsu5jvB3GgxJCQkHQtvEi6ZVngprRYusfIQl9bZ+hnm/wu9WQRbSx/c0wnERcaZ+U7K4hdh1xwZ7nMfyszWXxpw8Etwy1ivqT0Wtw5LjWEF2vt/8bi1EUWV14LTR2LTWttmFwFz3F8qaSuvfk5la7EjPjk5iTaF2vKZqfHW5/H+Ltx7OV72SiQz6zVlc/0u05+1u87XVesgeTetCza1SpPgptV0I1r1LlSflXtTIRrgVTdGW+jS9L53y+oeUW20tnZ+tT631Luqrnoobcr0fkr3rd6Uy5WHM/EmWJP9IkbO0gtOufnLkOBDRpToxefo5yDuqk4KYHsThRYn61BEsSJUFpF2eO/Nsc5E+vTYN5kOLx/GIVVqmXuirZ0ddXN4tKdC3QrNopKhJnSq3bZ1EL9LqVViQ70XPgrtPXyBvNn1q49NCiMHsxbV32l3Vh10P7YuV9yVqSibBlisgL3VEmp8GLsjwhNC+fPo5D47bSGXe4vRZakv3a3o+pla9KxBSfMAkxQ/G3KF8pzM7asCLtpim0j4kvQB0PsX971qxR/7QoFlCijxjp+9XKKP3ea4jb+afU4CVotGcTEOuJOQG71r/wuFhXibqPL7gd2UqPWjVxGe5XnOucPnKfydSuqTRpdxJJFNqB0PDad0jpr1iyUh2MYScw1CS4t8c5kk8qZGDNxrz/BgZ2v06mGk1mES9zYMwpLSlTiOFFSMjFjZbUSFUXHpu9QQlS1Be0p09GdbNW/huJWLTOLpWYXMLbyjxnyvrLyCnq5tfl6gjkLVgj/F5XghhYvSUai+G/ZVpGYRY7+zu2Iv+pYeVbYKU6LwlbOUWJz8mDnLg++Hxxw7OQ5atFlCA3v24meeqSGCje1dedBeq//RJr1+YdUtlS4S8KLuJgu/uVvmjDzRxUqREKCpJcC4cXNkbQmvKgXvgQb4z/oAPVHzTs04l+tHxAJDwFjQLK8PbPRvfsb0J2CA5zu0W0OurmhU+Lulwgit/m/vPsTA9e5IqCoDDWs2Gvfe+mICCfGiaVMQGVSmDlhoplH/+sDiwKnwdmoeEuC9/IiKSzB4kauUeIK2Av0qE8lgkqDJ+tSWHhJ2r5trzpGdmck6OhG9lMWX2X5WZvJiv9+JAdm1L+ryQBHd48T31ony5DPRnN0+necrG2qVjB3Foq4fldlr3FUprKbkgT8lDHvm8N2ME3ZwR52I7m7kqPzD83BmXoSdJJLjZop4aXgyJxKAHG1nGp22arP/K4suVVMgHCOTZA1jg1S43gaFG/doiPrnIkUU6ieatpVs2Bx2zl9yiS0nDl1mjKfPUl52AKozN1I1Xb4PW6f2z1SvAJtqWvy+ZWdzUxrExddRe6Fq6DDW3NspnOZz6oYLntZcFn3z+8qAPaiJb96NBB2erV4EbedKXwvS7FcUFveZyIKaqs7Z1xjnL1P5Zyf5PT+YtTZ/tqq5ynhxd1+uXN8nvjBbBC/TsWCEZcjXcS98lZ8UlcVcefUxeSCafpe6kaxaKuLq1aIIkTXYtdTe++cWpyN5Oze7bRo6a/KWjKty4Fp/Gz7n/3ArdKn0s8VpfA2JZNk4EvrvqZme/EcCyWGxRcdt4WOHKS4eVPVQjJ07gSKLvgYC2pJBRcJri8baCc31aCdn+1SbtKZErIBGl1s5fPMHDhdhKxzV87S9oP/0tkrZyjizkWKir3JITaiKOIuiy38b97wfFS5SjVqyBs1+dcVpbgT8TTr3CQ6GXWUqmWuSU2LOQ6Cb+QiFjOlWpVKTVROnys1hBfd2KHdi+nxyl/S9l036YGndqh3ZIuWbeiBcrWo4MniZgFG6ufKf5uqnrGfHUVbMejFtqXlhpxHxeEpw+IHz/UlgLWjhbkWZaICi9LynAXMmyrOAguNDaUyt8pR2dv3cSrwICr+ZDG6FXiLTl07RWs2rqZbQc6LsZ26daVq1ROtEsR9XRIiiKVwMLElz4WDdL79PuUmtCHEdup4e30XgabuzMQAwrImiv+NhSsRYTjot7EEtemqBExd/Cm4bqIVEF+frPcunFOXocWi/7Zuppe+/s7ZYfb7euu37KbJs5eQiDDiM12scAHq3OZFerpeDZuuRPqitcVLcLApllUwB8CuVqk09ejcnKqU985zylMDAuHFTbKn+vah+KPsvytii5MmeNaazDmiJC0f+J7KXlKYM9Vk5X+vsr+1vXKDzYBvHr2hdqD2NyhFOx8uStnYVeC5fefovxpF1C6cXkQYf9bCiSMzbTfRZLjDK5UpooSUTl270XoRWliMsSwyKajLk+bBn45UX63iyP2ya6NFGRFTnm30gvouks91PcF/UwdplM/l3Avnf6Mm3zIJd6W4IrzorCSlLh6hl9iSRYqtjBvf8a7ted69lWCZ+l4zWgKIeLdvw18kmQqOX7lGVd4bTNmKllRWMvUyc0SUzt0oxznekfrgWcpcv5Irl0Tb5n5PJRacpTvZc9PKHEXVrmxRDux5IygbHQuuzGIGZ8vi/24FRVGeUnkoT+YQKlOhIIVn5nSckkJZJtEslGbiHTC906cDz4oL07u930/SH3HROXzwsElk4bSRsTs3s7Byi3Kz0GIUWSwvQu30fDycAms+Yo7tY9zxFDP+f3KvpaKVitLjzzxFq1f9TGNHfaYsXGScZdLtyZLehBdxVzkWa7LGEkFF4qM0yGIKTOxqMbrH3OIZhbbqkvMYLbs2c9DXypJlKMHCT7cjbjHW3Ilc7Ye366dH4SUbfUc54md7DK1dsYYFm2tUmO+ZVkqEFqsc3uu12pfOfQfTshlz1cJy43/7PNZfeyeOOh1Fd69Zt0qSbIQ6ILjMY2p9XjNdiC+yaIxp9ngyLIG5AqjIfNO7Smfyk8DyN9mNLa5gY/W5WAz93fofq0gjS12l6Lq31Pt8w7q/kgValnHWQkulylWVm5kux+YfY7fU42q+KEW/RyQmmAQwdVTCSoVS9tK20y47Ot7d71NTeNFxmqRP7d89RDt2R9G16zF0/BSnwGaGTTkgcLHLpano5VJqbhAeu5ZKxyYGQnbmWkR8OX8pnMR9SWLH3Gw7mnK/Vj/JoWoRzmsByW5FF01ZnqyJMhsyv05HMpssmaWIqKJLcHwIhcSZNp6C44P5v+TWcJb9LR2zlI6V4s1dFoMkvtrlyxEqELXMU4zldkAmqvDcU/Ray8Iq22Iwb3RZZl2U+pFLbtPVaSz4BVShiEf78Poi8X4SFzhddKIM+V0ny9DfFW9ajMKfC7eKVgV2XvItxa1fo77PNGc5W4wl1vUn4cXaBcoc99cVP5v/puO1ebkzNxrqZAgCEF7cHOYTtZK7RYhSLKZ2KmhTgpmh6XdTECgd6En+LVF5G1V57i+6lrse/T2sUYpchG5M4mNzZlcTty5hd3zCJN1NrH55+Dud29OSnxYm6buII5WrVlNii0yebKXuloeziDa5cuV26trD8yW+rJ06IIWVgrPnomg2c7dWRBAQIUZKwUKF6buFy0iyARnLep5QLlrwbbKJpVgG1ZuymMJYfAnJkYvaDu1OlfaupCDOQkCGlMrOdHvHqE+Vv/3xTA/RqcDE9JOOjtWR9gtG/k5Fzi4w7WgmpKAU091J2w5TaOly1KZ9GzrLbkOn9u1jkZV3tw4fYEuW68qiJTza+k6T8pHnHbGA0hw0UTIqFChkDpxoNDOXifPtMrfo/JbzdKfmLXqsyeNUjsUeMaN+v1tndQnjv5hOzXkHz1r5hwWmHezq9TanMXc9nHTSM/qb8KKzA4kIIu494tImAWwl040xe5hcpVgUtMh6zynrNUf3TUb+Pj0KL7w/yW/mTSx4JDU3D2ABJDDeFJNJF0kTr4tklwnk2DBSAjgQuv5ZfrcXBN2d++eDgcdo3JSzKv10T/7P10oUbwbtHrGbos7dpurDqlMeDsybHkrsjLEU/+tSk5UDLxIz579IuZ/YT8FFTS5XIrgcWvMM5XiqXbL4Ztv6bedNtKsk2RZXbFxMX84dZzWblbxPJeabzBXqPvxoEqHFkuEVjo22ve9288fi4lWCLVj8hXdqCi8CQcdpsuR0/OQdJcJs33OLsmYqSIUjHqIb+yupJACWxZx5JzSSrZCyUnD+XJT5wm4V2PX4nrxK3AqJv0Y1HvuRwprVpdBSRXg+X5Bj6pThbFBhNrP8SDsiwsRNHUNxbPFxJKgxnQ1KLuTZ+zvRllElOhWjiN0RFBoXquIAxfGmz31nErMhOvpby/FKKGWuFKSsg9V/HGtIisQdMv0bZ05VfjCoJRWf9JbnBLpYbvPsaTaLKJGk2/4mvMi8feP6f5TYspL/M1qxi1i6e2fi36mj8cH3GYMAhBc3xzly5oOUpWqwihlhDNypU/1KVhnJJmP+XWWTMWWekcwyxeocpGIPHaTrAW/zNK8JZxW4Rqd+PqVSLuerk59NUE1mV7bKP/xy2FjcNDcAsJUAACAASURBVLnpnZ9fA9Ge85F3E1W6P/zqlcv046IF6jorcXYeT5qDD+zbi76anjYpco0Ci6V7lHFQteuTWPos+v5b9SIyZugQ0aljl26cmeCLJJ/nqlidBuUtQk3uJGZWcPVmEVHzv+Beyq9aMmCJy51kx5J/6+YJUMHcJFihBCo0pTNPjIGUOf4y1Y7+LFmTElBxc1h+k7tQgquQtX4ps2P2gw7gVK0qO4WILRxgzVqxFF0e+LQ6BeUKort371D2HKZjxPqpeeOG6gVubYEl7l97OV7JYRZctMDQlYOSumtR4WvCi1FYMQVYTRRW5GdHmW90ENvSnJI5pZYurt6H6b1++hRePDtqEgxdl0CO4iaCjhTJWidijTEmiDEIq2WvRMzZtjuAajxpsqD4YuMhalLW+q6yZ6/I9tkDWf09MHovnfrrApXrWI6zshX1Vlc82m5o1CTKFbqMM/kVpyO/V+OUuy/ZdNs5f+gc/b1yLY2dNdT83pN3qjzfxW3IGaEl2cXwevnf7pspW5nsVKplCZvB7D0KwY2Tp7bwIq6CmTmtfFD8JZUBUv6ubImfIpLtWDNaCRditXHzaFSSDIu2Lks2SUq8mJtqvfiu1SqxAYVYgDHFiIuNL8BxXUyZDSXnkmQ2lAymMUN6kLgd6Qw/AQXD2WqJ3WBVBq4cyuUsU0HOwBMWxq5pbPFSIJf6XIqyqGE3nYAXWlBArjzszhJJcdPGqpTgck57mXvylzpO0UedD5p/j/u8Jfgjenj+M2luteaO8CJ/UzJHdbfoDHP2ziNW6DLHlf+MRcQWcXUTy3WZ8xbJaz/jkrt9xfH+RwDCi5tjdiXid8oaOYFCcppMAlO60xURMJbukWuuBLIwGRhp+qNulyOGHssRkGrppN3EgsN9lIArrkbyEhNrlZavteNsgcnTcuqX3Mb1fyvrDHnJSEBgo4uVdq3q2Plt8w6exLuRrE5G8+omBatS/+Ll2GTbdiwZe0hPBZemX8Kz06uTBqlsKFIkk4xlSl7jOSRVefaTkVRzwn9UMHYjVWyVuDurzGEtfJHFVUhZsSRYspC2ZnFyrLV5uFSXSZyILpbZn0Soav5yQzVBF5e1wZ+OInFzOcqWHLtZbDnCYos1wUECt4rLljslrYUXnblGp2hPqbAirm0Su0XiURXmLEHiQikBTZ2JzeQOr4x4LIQX74y60Z2iz+haNHrUeBVP7LvNB5zP9sfxw3IETFeLUslUEhcfphaHsliUhaJeINq6wkx0gq12JdCmbfcHEV6u/naBtk7cq0QXEV/SYwk5+gHlK7WTdq7qSWHVn7ApfEydPJ4+GdTXjEDehyKmiwWjvD9TM1C6P3FObeHF1rWL6BnEyeMzsRgjgmfctVmUOydbwQT0plvUIMlhOlW3ZJeSODyFCs6meA5cvH1hMyrN1kSln9qlMo1KIO57dD+7L5fh+f4FCg444nDeL4LqvaMxdP4dtvBws6g06VyMmb2yj2pOd6ol3meyDpEMj1ni16v4VVJONDKlgZdNqsuBVU0W+QlBf++ycCNFizc3Aoqx1Q9bYBnitLjZbauHf9y7O23d8i+d5vmO0VLEE2158pw6tflDD9dLZtUO4cWT5P3z3BBe3Bw3W1mN9C6XPPSlyINfijZflt0u0883+eFXlI2cO5p7ond6jZlprHVTdry33AtSE68OuWMpJDgIwoub45neD3dFeHGWhbwwJb6NLlpsad7yNYdWP9pMs0PbFlSwRFVqtnCTOs1tJ4L/6vZils6nm/v/US467xnisUi2pdk3HftIP9FzDYVGJDeNl6CKsstk6SrkLBd1HRdMAVVvX7pDez7boyxtcrFZeNWPqyTbSRIWz3KAZhFdajdsTG9wGj2jVYtutwgHsi7LVhyV2H1GnhGSiteYJcqZ/skzRlxzJBOWBFGWko+t5sXwODP/X2L1GDOS6VhRUk+JGg7S+Eo9a8KKKauVKS2wMxYr0ged2cX0M/eL07JDWHFmlFO/DoSX1Gfq7BnzxfdiyWOHWvTVfnKuimVR5b1B9GXfj1UKbkclC62nPPGDHFVTmd0k9XFsfEGemyQEE+YHQyitpFsBDTgmTW+b5xDhJe74Lfrj3U0q9lzZjmVU3eBQ3sk3pOqWQLM6k47DDvlYBRHQK9buT3lKX6SNh3tS8XLWM9TIBkTzlxupBaXsgnfiQPi2XEZ97BJtdkee6atVlrYAc6ZKXVmezTIXdabYE170u0nOYytN/NkYtoDkVPTaElLu/kacSZLDttktf614l1o22q9chHafepVKFM9sdU4u4qT8rUmJCmjKAsY6cxwf+exSwBS2bCmbpC2jyKMC1rJbosRQycQ/S7p6KZc/51gs2QrT3VId1O8q6YZqxJCZJyFepOl7tnLRRSxfJEit4bPg0kGU9YEQyt0xjCJoDItARzmI/zpz3/Wh0QFl6XLvrXR3Fwf0b/Ik3XxmMN29dI9ibsYokUlb/9xmK6DYhM8k41VVdo/zVLGcN6ZGO0brbHfOV8zC/cnWuVq0akPWxBZjfQgv7oxE+jwWwoub4+puOmnL5ldxWk3ZqXelvMVuBlU5RS6EF1eoZcy6nhBehOTSnxbR3j27qEbN2ubgwM4SFqHhoRoV1Q7uS38eS3aYTOiM6cl1li2dvvePr+fSwQ3r6UkOSNv01WbONmuut2vYLrq0MYLu9qpOxevmU5lFJFuXpBDXu2BSWYJHykQlml2VdGA5cWEyBpkTVyYpxswVxg5drpCHSn1aI9kE9fy169SuSUNlLZSr4v309LdrVewbKXKdZVhoEXGlNFt0GFObi9uRCCfCR76XCbEUY5pwiXlyJyGJlT0LIJfBGQ6wTCN/hi10nBVWROQpwtcFYcWdEUibYyG8pA1na62ExO+gvDTYvIgbP+0sDRl1klquOEQDKiRmW7LVQ9mtzxn/JdsUPswumdU5/assCE2bP47cM/Q5ZcF6IWCeTQgivITyw2ZZ87UugTJm/dEHKhcMQ8nCmVKMJZO4ZRhcsZVrhoVrdojhHJbij3q2ciwPh4WfnRGbL1NYiVA6PPMwXdoUQS2+G0shHFfrtXdDafQXS82nkHeZWIBKUHTtZpuSIPgO++SFCmJ5+f3tELa6tK1uvBFmcnWXZ78xK5yI/MZ3U1BQAEnM0YgEI01bGeTkvSKWnNoa0iTcW49m5ozVp8ROa1x3GpUs7noWRokXM3j0KTpwvAgFBrkWmDgg4CY9WPkmTfg0v4o58+TLu9W/xph/erFflK2idClWzJRCVyyJRQyqUfIslY7+l92RAvk/6ynd9bFLVlymtevj6NL1EkpA/fyF3RS46h5lG9GBIoPfsnsHxfPGV4D8MXuw6Dh28vcx8+sFZusvd1yNPNhdl08tc7NDvPn3Zrj9cBEunxgH+D0BCC9uDuFe3smW9MPBbj6jROVfyC81cSeQIrva4bwYcVRKBcVS7cyxFJo5CMKLI1j43qV00mmJSwcL/vP8HbM1hVFgsNeX3Tt20aLvFtLb779DBQs7XoBYnku7AB1rUJL2tUnMqFRv3GbKvv2SWxgknbuaiPK/97KH0OGXytKNEsknbRv7tKdjP81V4tNT366h+0qUMFu12IvdYnQ3dKWjxpTJhXi3/B1eRMRkCaFozop29W4cm2Gz22LCBFcmunriLBNqZSmT8J2jlMvyHLMUVlxJ0+7KNaGu5wlAePE8Y3stiMtRjoBvKCz+J1VNFm995oXTe299m0SQtXaOXLwjHhq/0qqbhbG+zqykXTTkO9nBl5TJkr1H3DRi2BrGWpEleZ5MX9Gdy8fpj7GDKT7hOaEFaX2MZZwt71JNbF0CrBpLULZMSliXwKoiDonFYrWWf1O1Vn8r9rnLbqK9R86asxNKMHldtOVnz959bQbV95XrttcPEVxWsZWLWFdLETFEMsQZBRBxgbUnyLhyncZ3ky3x3vhekXP/xUHmpV9d+T1my0pG9+HO9bWUL8uvlCWEN1BYkJBx3L3riPr3WmQsnTh1mUWzCCWcLfu2Em3dcZPmLLhIW/YUtpqp0pVrmz2xLLVvZf1vx5XziAi05JcrtJTFleiYePrnf9VIPlu77rr6/E/+V67FWNYsqUJPPJLT4d+/HCPJHpYt/oHu3UvMYuRs/65zjBUJMqsFJC0eaZFJRCSJZydu7JKdU7tU6/P7q/BidAnX6zi5pu9MRn8oIGAmAOHFzZuhNccDrcE7za0TlP6UnE7+YKdysF15kcnLQ5R7SUnqSoHw4gqtjFvXUxYv7hLVwsuZCOtZgtw9v73jI3gHc+dnuyiyeHba+xoLLwVCOQ3oPao3wOQbLVYqUiRYbwwH7lX/JpjNi7CiP5M6IrCof/OHKksVseLQbjuSXnt/dCDtO3EqSXeO/jSHdk8conZ8pqz+l6oWL+ZwEWU8wX8s1kbwM8TSHUjX0W5B8rulmCW7jgEJorE7MV50umVxXZJShK8VMVY8edd659wQXrzD3bLVTOzCkCt+ShKXAksXIcs4LtnpGxWf4hKxmwS7HrhacsWzcMPuRs4WcX24F5CYAtnecZJ2WcQYYxH3TGOR2BvGoi0P9WdyvFggGosEVNfFMuWtek4bvrfWv2DOEhnC/+ny+Mc/KBcjKe/3O0oTpp9LdliLVm1V0FwJrulukeeqPFNFBJf5oWRtE+H7Ov/ciUUGZzcnnOkHr9857oe495hqWwou8pm4EjVglx7LdqP52OVsqX2B+yfCh7yLpMg7T4rluylbFha02KoiNNo05tbEEml/GZ/TMn5XkUwJ5puGixoWmSWJECTHiBWlPlb+Lcx9cYXXzGmTaRxbLklK7x59+iq3abHM1fHXGqRgfPPmvEuPVfnameFIVscUi6kgx2F5mA6cLE8SAHYjx8sT66ry5UvR/TUeVcfk5EyTOXKYsk2KyCG/S1m5+EN6v0sRatZhP924GWsWA1Udri8ZKuVnKZHsHmcZNDZFnXbioFnfLEzyt+JPwou1RAf6kkUcrBIcQ+3DXfNgcAIZqvg5AQgvbg6gCC9S+ma/49JDXTcrO9bDb2RVpplasXfl5aDPA+HFzYHMIIf7qvCiJzQb/9uX5ruDt87fpo2dN1q9A04/Gk47OyddPGjXJz3BlMmlfCZxR6RoNyVrJ3zi4Rp06OB+q239sHSlSifqreKO8OKtPqPdtCUA4SVteTtqbf2KFtSs0VVH1ZJ832tZJypV+WEqlDuXWqBJzCRZbDuad+y4d5iqB31PeQPttMfnCZF4dnHnzZkaXepcCitrKx05XMfVk58tY+vJZzq+nvqeLXl0EXcrcS0VoUXciCyLZKKUz8WyYMT0ArQ9uhxtmjVRVdPBNWUxLgK6Fkwk1b0UWxtpxsxtZ1hoEFFFxBVxD9UZ62whERGkZeg9jgMWSEfVf0FKwJBzuFpkg0AsVsRyu0nWe2zdksls4SLnsiW4uNqOrp/awXWl73+z1YuwsxtQn6+vFlu6SHw0Kdqq02i5eZVjkEmROXmduxFUMU8Oxfgcn/urccNp04xxtHHbPp8JjCzziSJFilJYtmx2h6MBx48zJj5wZuzC6zc2uzw7U1/q3Iu8RgXrPEHB7CodziJZ3JljyoI/4vQJdQoRdSTzkAhHRdmVauHiXygwMNF9LSXCi9740X0U12qx2jUW+Vu0tKCydq/o8dfHGt229WdynKW1ry2XcMR4cfbOyTj1ILy4OdYDT8Sph7IUHedAJjGWwSmN3xuDU0oA0KW3g1UqWEkJm9IC4SWl5DLWcb4uvKxas8Gc/SitRubu3bt04Lt9FMy7ZjrltN4JzT6wBuWunjtVMuVINqdmjZ9Vl2Xp2z34s1FqZ82bBcKLN+n7R9sQXnxrnN5s9yodPfAbRd//KpV8qCa7Pd+k/IHnKF/gef75Bv/MLkL8Wa4cQZQrJ8ePW3uNho9PzKwiro0SU0riSeWuWJ3yFStJRSrfTwV597tgrpxsqWAKsi2LD3HncDRPkbAQBbMup4CoCRxL5hG6EjA4GTCdeMBaam2pbMwMKQFKpUgcGolxISUgIQ23ZV1PjIy2ItJ92s4Bjd/rf4vazviHVkVnoatrllO1mnUoW9GSSiyxFTRcXHMe5QW/LPRlQbiXrRSFp6OiRX4ZAxH4w3kBK0UCqjuKoeXo3M58n9qCi24ztYUXy2uRhfg5FlC0lZDEHJPFeEpinMkYGI8zBRHmnEB8r8vfh/yr48JJPxwJmM5w90SdIQM/otkzptDylX9SlWrVzTGIRAi5HnmdbkRGKlFkz+6dNGPqFxScPZeKuadjzbnbJ+EmQcDFEqkMh0gQyyUZp39Y5DPG/5F3jOgwMWKCxcVyzBy5N7vbT1eONyY6sOUSDuHFFaIZoy6EFzfHefX5uzSLd0LcLc4EBrPXBoQXd0cgYxzvq8JL88YNSfzjFy391WEmJFdGSgc4FDNaW6k7n6v/qAoM/PemnWZBREzf70bcpWwl7e8iudKXwf37qAmNpBPtyf/5WoHw4msj4nv9gfDiW2OiA1S60iuxzpDdZv1stHWsUZQJY2Hh4r9/UfFGzejxdm+pjSVr5d6Na3R1clOa9kmMOTuS1DOKKa701dm6WiCR+uKOoYu4Z0iGpsux2Sie/5UidSPiTCl5jbFqIuJN8cHkGHHTMi74js9+k66f+Z1mz79FK3lzYH2+crQ5IeaJtT4aA8LrjTlr9bQ7qjFzW2FemIp7qDWXGn0Oibci4osUvfjTma1EBHC1iCAk69wfOM6gFE8JLrpfnhZebF2/jMV85pY/wTpVW63qgP1ynN5AFesZLY7JZ6VZNBDLImfEGy3KWNuEbZAlqUudq2Pl6fqbjp+it7t3owovvkqvt2nnVHOWViKSDECKMJTMjNYESWGUWuKhHjPdWc3d2HmjC5z+XLvCGetZnktbMiepw39jjmIJ6foQXpy6hTJUJQgvbg63MauRNnfTZm7G4JTSjH44yUPImGlE/tA7swmrO0HEIby4OZAZ5PD0KrysXrmCpn05MYmfsuzcuGJaKyk/W7RsQ3UfflRZ3cixIsikVhnUr49KLeptlyJb1wPhJbVGOv2eB8KL742tiC/r2ZrOUTnNwUILFCxEk6fPMVcV8UWecfLv6QQxRp6b9kSZUk1fV8eLGKNLCO+OSzkwZwIF3zhFF/bVppAQ69lvxFVHig5mavmz/l4+P37KZAUsda/zf+pnDhoqv0u5GplVPVPTqkxZvZktg+5XmSdl0SiWLDq7njEbnrE/IpCIUGIZ8+tRjpWiLVhS0n9Jqayspx2kUHbl3CdYWBDhJ8R1byVXmiFvCS8udZIri1BjdB3eyzHa9rOQkC3BpUtbXxgDzjsSZsQ9zNm028b+yvpiS0LyDaNLmtRpH2o73o9el2RiMY8N3+wWuackkLIEh5V7O7VEInGpk/XQkdggJcaIa5jmJCzKJgg1cj+HZOI4QcFBFHk7WvVV+BuLs4KHq2PtqfoQXjxF1n/PC+HFzbFL7XTSKe0OhJeUkstYx/mq8NLj3S4qwv34L6ZTcxY/XCky8a5bo5LVCbhYuYi1i/gUp+UE3Vb/fTm1KIQXV+66jFkXwkvGGXdLUWbPrp3KKtFRyc/uSjExkXR/qZgkwolllhVH5/G17+9r350e7D/e3K287PbzMcf2Q3GdgL8IL65fmekIERpEHDFuwlpa0Lh6bnuCjrawcpRt8HlO3PEkp+fWRWfiEasUS2ueoTlup6qoZ3m9wkiKpXCYkhgvrrJMy/oQXtKStn+0BeHFzXGC8OImQByepgR8VXjRbjgiTOg0hM6CkZ1cWRDIsR27dlN+ylLCOXCbfOZMEeuWDev/Uf7NG/hcsuiQOCwSd0VH+nfmPPbqZOPgdx27dKMSJUu5eyqPHA/hxSNY09VJIbykq+F06WLkmbhxfaJljdEqJpJjREga2UcerUfd3upEH208Spd4h14Xy11r+Tx3QrwSXUe5e/CuvLHksdihz5WQJUfXEUsbiUeT9BjXXW3sgRDBfuaGbXS2TiMqF2zKliNuPeV4l97TliEuDZAfVU7vwoutoVh1h+MssbVUSopYTEmQZnFLM1pZLWSLKkeijLQndarw8bXYwmQXW7SIEGQZwFm7VIkFSkqsclJyXZbHQHhJDYo4hy8TgPDi5uhAeHETIA5PUwK+KryMHzOcRo/4xC0WvurC49ZFpeHBEF7SELafNgXhxU8HLo26Le7SBXJnpfNXEtM4p1HTaMaPCGRU4UWGSFvDuDpc9lxsxEVIgjZrgdOyrli2DLuRJVmTxkw8RVjQsRdXyNX+prQ+hJeUksNx/kIAwoubIwXhxU2AODxNCfiq8HL71i369ZefKSba5Nfranno4Xppnoba1T76en0IL74+Qt7vH4QX74+BL/cAwosvj47v9C0jCy/eGoUB17OquEQitkj8FonlYysTj7f6KO1CePEmfbSdFgQgvLhJGcKLmwBxeJoS8FXhJU0hoDGrBCC84MZwRADCiyNCGft7CC8Ze/ydvXoIL86SSr16U29mVsGCUzNobur1LvFMEF48QRXn9CUCEF7cHA0IL24CxOFpSgDCS5ri9qvGILz41XB5pbMQXryC3W8ahfDiN0Pl1Y5CeEl7/AdZdNlwNxO1CbtHDpIbpX3nDC1CePEqfjSeBgQgvLgJGcKLmwBxeJoSgPCSprj9qjEIL341XF7pLIQXr2D3m0YhvPjNUHm1oxBevIrfpxuH8OLTw4POpQIBCC9uQoTw4iZAHJ6mBCC8pCluv2oMwotfDZdXOgvhxSvY/aZRCC9+M1Re7SiEF6/i9+nGIbz49PCgc6lAAMKLmxAhvLgJEIenKQEIL2mK268ag/DiV8Pllc5CePEKdr9pFMKL3wyVVzsK4cWr+H26cQgvPj086FwqEIDw4iZECC9uAsThaUoAwkua4varxiC8+NVweaWzEF68gt1vGoXw4jdD5dWOQnjxKn6fbhzCi08PDzqXCgQgvLgJEcKLmwBxeJoSgPCSprj9qjEIL341XF7pLIQXr2D3m0YhvPjNUHm1oxBevIrfpxuH8OLTw4POpQIBCC9uQoTw4iZAHJ6mBCC8pCluv2oMwotfDZdXOgvhxSvY/aZRCC9+M1Re7SiEF6/i9+nGIbz49PCgc6lAAMKLExBPnrlIfYfPoH2HTlB4oXw0tE8Hql65rDoSwosTAFHFZwhAePGZofC5jkB48bkh8bkOQXjxuSHxqQ5BePGp4fDZzkB48dmh8XrHILx4fQjQAQ8TgPDiBOC2735Gj9SqSm+2fp7+3LCdhk2cRyvnj6HgTEEQXpzghyq+QwDCi++Mha/1BMKLr42I7/UHwovvjYkv9QjCiy+Nhu/2BcKL746Nt3sG4cXbI4D2PU0AwosDwpevRlLD1r1pw/IvKVNQkKrdrNMg+vCdVlSregUIL56+Q3H+VCUA4SVVcaark0F4SVfD6ZGLgfDiEazp5qQQXtLNUHr0QiC8eBSvX58cwotfDx867wQBCC8OIP236xANHTeXlsz+1Fyz19ApVKdGRWr+whMQXpy4yVDFdwhAePGdsfC1nkB48bUR8b3+QHjxvTHxpR5BePGl0fDdvkB48d2x8XbPILx4ewTQvqcJQHhxQHj9lt00YcaP9P20Qeaa/UbMpPvKFKPXmz/r6fHB+UEABEAABEAABEAABEAABEAABEAABPyYAIQXB4O3bfch6j/yK/rfNyPMNd8bMJHq1ammLF5QQAAEQAAEQAAEQAAEQAAEQAAEQAAEQMAWAQgvDu6Nq9dvUP0WH9C6ZV9QlswhqvbzbT+iTzizUY2q9+HOAgEQAAEQAAEQAAEQAAEQAAEQAAEQAAGbBCC8OHFzvPnBKHqwWnnq9NoLtHLtvzRh5o/0y7cjzcF2nTgFqoAACIAACIAACIAACIAACIAACIAACGRAAhBenBj0cxcu04efTaM9B45TsSIF6LOPOlLl8iWdOBJVQAAEQAAEQAAEQAAEQAAEQAAEQAAEMjIBCC9eGv2IK9fpyWbvU1xcPDV97jHlumSr7D98kt4f+AX9+t2oZFX++Oc/GjttIV26fI3Kc8DfIb07UOnihVW9Gd8up7kLV1JMbCw99/RD1O+9NhQUFKi+23foBPUYNJkerV2V+r/f1nzeX9f8S5NnL6bomFgqVCAPDen1BpUoWtBLlDJus598/jUt/HmNuj9+XzSOCuXPkyowpny9lBYs+YOio2Po4VpVaGjvNyg0axY6eeYi9R0+Q90X4YXy0VC+H6tXLqvalPtn/IwfaPaCX+ifpZMod87s6vP4+Hhl/bXk13/o7t171OKlJ6lH5+ap0k+cxDEB+Vvt/ckUdY+M6NuZXmzwcKo+Q+7wmA4aPZvWrN9GWbNkpm4dmiSJa7V89QYaMnYOffphR3r2iVrmtsUqcDwHJJdnXJ0HKtLwvp0oe7ZQxxeEGqlK4KX2/ejoibNUtHB+q++OlDR2M+o2DRk3h9b9u5uCgzNRy5eforfaNVan+nvTTho2cZ56F93Pz46R/bpQvjw51Xe2njuO7rGU9BHHuEbAlfvk3X4TqMHjtZI9a3BfuMbcX2q78o5x5ZpszVvtPQ+OHD9Dg8fOpQNHTqrnSq+3WtJTjzxgd47iSp9QN2UEXFnLSAt1nn+Lls75LNmc1t742lrL2HvuSFu25igpu1IcBQKpQwDCS+pwTPFZROQ4f+lqioSXC3zcS+370rRRH1C1imVo0qyfaPueQzT7849o49a91H/UVzR3wseUM3sYvfXR5yy+1KFWLz9NEjD40/HfUNlS4ZQ9LNQsvFyMuKbOt2j6YGXZM+/H3+i3v7aoc6B4h0DlJ9qnmvCy6s8tNPGrH2nWuA8pW1gWerf/ROVC9/brjantu5/RI7Wq0putn6c/N2xXC6iV88dQcKYgksl2hbLFaeo3y+ivxRPNwsvPq9bT9Hk/0+zxH1FgYCC90WOEWoQ1fLK2d2BlqFCdOQAAGThJREFU0FZf7z6cmj3/eIqEF3vPELlX9h06SWMHvUVST9r5alwfKleqKM1Z+Ctt3XFALbLfaPmcWXg5fe4SNekwgGZ9/iFVYCF4wOhZStgb2KNdBh0d7172v9v200AeA2uifUp69tmEb+jKtRvK6vPK1Uhq9fYnfH+8rbL8NWzVm8bwvVKrekUaP30Rnbt4mcYNfofsPXfs3WMp6R+OSRkBZ+8TW8IL7ouUcfeXo5x5xzh7LSl95zR+o596z73W9Blat3k39Rz8Bc9HJvGmQIjNOYqzfUI99wk4s5axJ7zYGt8dew7bXMvYeu7UvL+8zTmK+1eKM4CAewQgvLjHz+2jjQ+rzr3H0MsN6ymBRIr+vXSJwlYtXuQFtnPfEXrmsZqqvlgrvNN3PP2x6HMayhYThdliReLSSJFda7F+mcOL5JNnLqgdg68XrVK70triZQsvpOS4ZaxGSzl07DR16DGS/l4yye3rxAlSRsAovCxduY6msfgRw9ZIhQvmpRG8oyxj/M0Pq3gX6BTduxdNJ89epNjYOJowtBsVYcsVY9l94JiydHmgSjn18dxFK2nvwePU5+1W1LB1b9qw/Etz3KJmnQbRh++04kVUBRKLKxFeqj71RhLhRdKqlylZhDrwwlvK90v/oA0s+I3ntlHSjoBxUlz9mY60+vuxZksD/bv8nVuzmrP3DHmx3cf0KS+w769URl3MqMnzWbDLSm+3f1ndE2Jh1/GD0crSSVu8iPWT7JJOHdlTHXP05Dlq0+1TWr9sctoBQUtmAsYFtViojeQxlN3mOP65Nv9ti2VbpiAWV1mErXxfSRbuD9P5i1eoWHgBGj+km9lCUp/wj3Xb1LiLVZyUbn0n0JO86xwWmoV+WvEXTR/dS31+4+Yterxpd9rIz5SD/B6x9twRixh79xiGMe0IGO8T2V0+ez6CBn3QXnXA+Lst4QX3RdqNlTdaMr5jdu0/RkPHzaXIG1GUOSSY+rHFtFg2yjtBrGYfr1udtu4UUf469eveRllVG0tK3jmd275Ii3/5m5o0qmeeo4jlxKLpQ6g4P6tszVG8wSqjtunMWkbWNtYsXsSq2tb4yiaPrbWMrefOK88/ZnOOklHHB9ftOwQgvHh5LJx5WNkSXiy7/tX8FXSAX36jBnQlCQjcsvFTZlHmGC+A3mARZe2P482HTf16WRLhRcz2JGOTWNDIQnvaNz+TmP/J+VC8Q0ALL1kzZ6Yn2DVNRDGxRho8Zg4FBJCaHH/702qaPGcxfzdMLbjF/SNnjmz0fqdmdjvd9cNx9HS9GlSmRLiaSC2Z/am5fq+hU6hOjYpJXEsshRdJsy73phZeRBiayy/Jn776xDuwMmir7ggv9p4h9z/9phLacuYIU9UWLltDIs4anwdv9hyVRHhZtmodrfh9k1l4kfhY9V/9QIl6OeBulOZ3qHFBLeL759MW0aIZQ4gfHfRq1yEszL+ohH4R5SSD38yxfSiQHyxNOvSnj95tTQ/XrGKzz/K+eIHFObGCWv3XVrp89Tr1ZXdWXUR4+Xpi32Suqvq50/yFJ8iZeyzNoWXABt0VXozIcF+kvxvI+I6RTZm2zRpQ42cfof/9vpG+nLOE/vfNCLVR1/TNAfTl8J5Ur05V9R749qff6NvJ/e0CMc5bnX0e7Np3lLoPnMSbDOPY2laeZqZiOUdJfyPhu1fkzFrGlvBieVXG8e3Ue7TDtYwcb3zulClRxHxKyzmK7xJEzzIKAQgvXh5pZx5Wzggv//y7iyQuyDeT+lGBfLnotXc+pS68S/DYQ/erK5QdrJd5Mv3viqnmK7YUXuQLWTgNGDmLwtgVRdJni4VM8XDEePHWbWK0eIm6dUftLEuRCY/sEMwc01sJLxu27KEvhnVX34mLmASCltgatopMlrbuPEgz+PiN/+2hCRyT4/tpg8zVxZpF3Adeb/6s+TPLSY30YercpTSHXdFk8tN9wCRefEWqSRhK2hFILeHF+AzJnSs7Va//Jm35dboy5ZYi1iyywNb3mXxmOamR50zjN/orV6PypYuq+FNyf4rgq+N9pB0ZtGRp8XL7zl3l+iVFxNsihfJS5zYvKuHlgarlzH/v7w2YSE8+/IDaYbZWJBbD+7zwERdXsYCSGFCya9mr66vm6s+07EUTP3mXKpYrYf7M+NyJjYtz6h7DKHqeQGoJL7gvPD9W3mjB+I6RMQ7OlElZw4mraf0WH9CO379SwovMO/UcU6xw3/n4c1q9cJzNLqfknSPurGINPuD9dlS3ZuUk54bw4o27w9SmM2sZZ4QXy/F1Zi1j+dwxUoDw4r17Ai1bJwDhxct3hjMPK0fCiwSQmsIL4CkjephFko69RlPTRo+Z3ZbkJdilz1i7Fi9irikm5yK2iCm5DpK5/OvhyUzOvYwtwzSvhZcCeXMrq5Z1LLBJuX7jFhVhdyPZbZaF7c69R2hk/y7qO8vfjbDE3WD4pG/pxOkL9Dm7EoRmzaxi/oj1ilEwkYVXvTrV7Fq8SFBXidHwyx+bOO5LNnY5qKFc2hZMGZhhxscXLjQ1hBdrzxDZfZTAzlowEUFP7jN7Fi/CQwfojuef27FwJ9ZUW36dpoRclLQlYFxQS2yWMVMWqIC7Yi4nIlnrJvWpa7uXlPAiLgHNXnhcddDyd2OvI9mNSBZUtdm94N0OTdVXEutJrJu0e4p8VveFt2nB1EHK4sXac0fqOHOPpS2xjNlaaggvuC/S771jfMeIJcv8JatVAgZxa95/+ATt+mO2El5EEFnzg8mq2vJ3SzopeefIPFY2eD7q1pqeeLh6MuAQXrx3DzqzlnEkvFgbX0drGWvPHSMFCC/euyfQsnUCEF7S+M6QHYK1HLxUzKyljOMd4Tt3o9lE+zUSE2zJTPI8ZyCSIkqvBBKzJ7yIv/7Er35iE/HeSXaUJehULnY3eeeNJupc8rL88X9/qoW6LpYWLxLzY/f+ozR6wFvmOrLr/ct3o5WPJYrnCaz+e6sSz+5ja4G7HLOlRoNOtP7nySQ7Q7K4EYsmcdmQwLZigeCq8CJxOi5EXFXxYSRwrhRxMZBdq3XLvjAvjsXlTDJt1ah6n/miHU1qJOuRCDqDe7X3PKgM3IJYM0nMlsfrmqzZWr41lDpyUOT69R6kB5/trAKp5s+bS8XVkBgvf/40QdW3lxnN2jNEgt31e68tL7ArqHbEha0gZ9eShboujiY1EleozydTacW8kRl4xNLu0kXgEIFMMuWJddzfm3bxO+Z7WjzrU2Xhci86mv+u31RC+oBRs5TA7orwIs8kGXMJoN3mlWfMFyYBdMWtQAdil/dcw9Z9VIwXyX5k7bkjBztzj6UdvYzTkr37ZNaCFXTy9EXzc1ysma5H3lSimq0YL7gv0te9Y+sdU7VCaWr4Wh/6gd0VxZ3j/KUr9Ay7kroqvNiat9p7Hpzi+HWdeo2hYR934nmJKU6dZXE0R0lfo+Tdq0nJWsae8GJrfO2tZWw9d4xkHM1RvEsRrWdEAhBe0njUr12/SU+36ElffNZdmWC340wh4hIkYsugMbMpT64c1L3jKyoArmQHkUmyLeHlOgc3E1988aOXlKHG8t+ug2rBI9+FcUDMzvzCkiCYEnRKF0vhRSLFSx8kq5GkDBb3lQ+GfqniPEgARhTPExjNO9ISV0eygSxfvZHmfP+LWrSKFcu6zbvYf7oHW7tEUU9OBR51+46yLnHW4mXz9v302YR59MPMIcnGU2ICSYYjCcYslk6SJvqXb0cmqWc5qZHJ0wIOqDuJ72V5Cbfne3kMZzjRaag9TytjtvDnhh0qpe+3X/RX94JkpJL4PhJwudFrH6oMQmKCLeLcxxzsUNx8bAkv9p4hEuNp2+6DfC92IzH/laxV81j4K5WQrl7oW05qpB3pzyzOrCbZ1HoM+oIkw4AO8p0xRyxtr7pFl8G8G/wAx15qxGLZXBUAU8RQEd7kb7P9qw1V4MH32LpRBJSeXVo4bfEirkKXeIwH9Xw9yUWJG6QE6Baru1r3V6ARX3xHN2/dViml7T13nLnH0pZexmnN1n0ilggLlvxB877ox5tC96g1Z66SANv2hBfcF+nrvrH1jpG/6fbvj6A1nMAhiOeEn89YRLLhsnXldJKFszMWLyl950i7r/IcttFTpuQT1gqEl7S7D1OylrEnvNgaX3trGVvPHQgvaXcfoCXXCUB4cZ2Z20eIa8aYKd+rhfML9euqgIQSI+PwsTMkQU3F/aNMyXAVNV4yFknaZ2u71RLjQ1xEZEfRWNayqWcudv0QC5aZnKFATEJfbvioylITwCbmMimWBXMc+9jLzpe8QJuziXm/7m1VBgPJTsEfU3a2rJBjZOGEkjYEJBvIR8Om06b/9lI4i2mfsvBWtWJplcL1bTbvvx4ZRYUK5KYenZortzCJwSDWDc64Gn08bAaLOevVeOtSlu8z2b0SN4EPP5umYsNI8F5JF1u5fEmSl6sE9ZUiFhT6XpPMORLAdyDvmv+5cbvy+RbrqhYvPpE2oDJ4K2OnLqQflq+lzOy+896bTZWFgxRx85Ed6sIF89Bjde5XKRUXThusrJpcfYaIxcRgtnKRlPISF6RH5+YqoKIUCbB4mAVCybAVxKnEA/j5NbJfZ85uVFs9d2ZxoG/JstWIBWWx5oNwm3Y3rJhrS3aRE6fPK4u14X07U97cOZRLoTwDxNJNnilPP/og9Rs5U8WCWvrrOqdcjerzpoFkK5Hx1kWCuIvp/0Z+ZonQc+nyVX5nsPjC7cp7yN5zR54ptu6xtCOWMVuydZ/cvnOPuvUbr579hQvkVZnr5PkxtHcHmxYvuC/S3z1k6x0jf8+bd+xXwnrvt1tybI8lai4p4q4zwou9eautd44I/89yunrLue6YgW9RTd4wsjVHQVwxz96Xrq5lXnimrtWsRvbGVyx5ba1l7D137M1RPEsFZwcB+wQgvOAOAQEQAAEQAAEQAAEQAAEQAAEQAAEQAAEPEYDw4iGwOC0IgAAIgAAIgAAIgAAIgAAIgAAIgAAIQHjBPQACIAACIAACIAACIAACIAACIAACIAACHiIA4cVDYHFaEAABEAABEAABEAABEAABEAABEAABEIDwgnsABEAABEAABEAABEAABEAABEAABEAABDxEAMKLh8DitCAAAiAAAiAAAiAAAiAAAiAAAiAAAiAA4QX3AAiAAAiAAAiAAAiAAAiAAAiAAAiAAAh4iACEFw+BxWlBAARAAARAAARAAARAAARAAARAAARAAMIL7gEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQ8BABCC8eAovTggAIgAAIgAAIgAAIgAAIgAAIgAAIgACEF9wDIAACIAACIAACIAACIAACIAACIAACIOAhAhBePAQWpwUBEAABEAABEAABEAABEAABEAABEAABCC+4B0AABEAABEAABEAABEAABEAABEAABEDAQwQgvHgILE4LAiAAAiAAAiAAAiAAAiAAAiAAAiAAAhBecA+AAAiAAAiAAAiAAAiAAAiAAAiAAAiAgIcIQHjxEFicFgRAAARAAARAAARAAARAAARAAARAAAQgvOAeAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEPEYDw4iGwOC0IgAAIgAAIgAAIgAAIgAAIgAAIgAAIQHjBPQACIAACIAACIAACIAACIAACIAACIAACHiIA4cVDYHFaEAABEAABEEhPBH5Y/ifN/v4X+t83I9LTZeFaQAAEQAAEQAAEQMDjBCC8eBwxGgABEAABEAAB/yfgivBy+849+vm39dTixSf8/8JxBSAAAiAAAiAAAiDgJgEIL24CxOEgAAIgAAIgkBEIuCK8bNiyh8ZNX0SLpg/OCGhwjSAAAiAAAiAAAiBglwCEF9wgIAACIAACIAACyQhs232Iho6bSyfPXKTqVcpSnQcq0tKV68yuRstWraPp85bTmfMRlDd3DmrfoiG1eeUZEtHlrY/GUUxsHGXJHEzfTxtMRQvnp5GT59OvazZRfFw8ValQmvp1b0MlixUCeRAAARAAARAAARBI9wQgvKT7IcYFggAIgAAIgIBrBKJjYql+i57U9LnHqGu7l+jA4ZPUc/Bkypw5RAkvx0+dp+fbfkQTP3mP6tWpSjv2HqGOH4ymeZP7U9UKpejrRSvZ1WiD2eJlzNTvaSfXGTPwbcqZI4ymfr2MfvljEy3/ZjhlCgpyrXOoDQIgAAIgAAIgAAJ+RgDCi58NGLoLAiAAAiAAAp4msHn7fnrzg1G0cfmXFJo1i2pu2MR5tG7zbiW8xLI1y5VrkZQ/by5zVxq/0Y9av/w0vdr4qSTCS3x8PNV+ritNHtaDaj9QQdWX4+s835W+HN7T/JmnrwnnBwEQAAEQAAEQAAFvEYDw4i3yaBcEQAAEQAAEfJTAcrZWGfXlfPpr8URzD7/96Tf6bvHvSngRMeWr+Stoxe8bKfJGFFFAAEVcvkY9u7Sgds2fTSK8XOLPn3jlfatX+umHb1KTRvV8lAK6BQIgAAIgAAIgAAKpQwDCS+pwxFlAAARAAARAIN0Q+GnFX/Q5B8f9e8kk8zXNZfehhcvWKOFFvh83bRFNGdlTuRZJeaXjQGr87CPJhJeIK9fp8abd6ceZQ6lC2eLphhEuBARAAARAAARAAAScJQDhxVlSqAcCIAACIAACGYTA35t20Tt9P0/iajR4zBzavGO/El76j/yKoqNjaGT/LorIzajb9GSz9+ndDk2TCS/yfa1GXWlAj7b0UoNHzAQlKG94oXwZhCguEwRAAARAAARAICMTgPCSkUcf1w4CIAACIAACVghE3bqjhJTWTepTx9bP0+4Dx6jf8JmUJYspuO7k2Ys5Q9G/NH/KQIrhQLwDx8yiI8fP0pOPPEC9ur6qLGOmfL2UfvrqExUjZtKsn+iPf/7jOC/vU9EiBeiH5Wtp4swfafXCcRQWaoohgwICIAACIAACIAAC6ZUAhJf0OrK4LhAAARAAARBwg8DG//bSsAnz6NS5S1Sjajl66pEaKnbLyvmj6dr1m/TBkC9p574jVCh/HurzTis6f+kKjfziO+rGVi/PPl6L2r8/gq5F3uQAuj2ocvmSKp30yrX/0t270VS+TDH6qFtrqlapjBs9xKEgAAIgAAIgAAIg4B8EILz4xzihlyAAAiAAAiAAAiAAAiAAAiAAAiAAAn5IAMKLHw4augwCIAACIAACIAACIAACIAACIAACIOAfBCC8+Mc4oZcgAAIgAAIgAAIgAAIgAAIgAAIgAAJ+SADCix8OGroMAiAAAiAAAiAAAiAAAiAAAiAAAiDgHwQgvPjHOKGXIAACIAACIAACIAACIAACIAACIAACfkgAwosfDhq6DAIgAAIgAAIgAAIgAAIgAAIgAAIg4B8EILz4xzihlyAAAiAAAiAAAiAAAiAAAiAAAiAAAn5IAMKLHw4augwCIAACIAACIAACIAACIAACIAACIOAfBCC8+Mc4oZcgAAIgAAIgAAIgAAIgAAIgAAIgAAJ+SADCix8OGroMAiAAAiAAAiAAAiAAAiAAAiAAAiDgHwQgvPjHOKGXIAACIAACIAACIAACIAACIAACIAACfkgAwosfDhq6DAIgAAIgAAIgAAIgAAIgAAIgAAIg4B8EILz4xzihlyAAAiAAAiAAAiAAAiAAAiAAAiAAAn5IAMKLHw4augwCIAACIAACIAACIAACIAACIAACIOAfBCC8+Mc4oZcgAAIgAAIgAAIgAAIgAAIgAAIgAAJ+SADCix8OGroMAiAAAiAAAiAAAiAAAiAAAiAAAiDgHwQgvPjHOKGXIAACIAACIAACIAACIAACIAACIAACfkgAwosfDhq6DAIgAAIgAAIgAAIgAAIgAAIgAAIg4B8EILz4xzihlyAAAiAAAiAAAiAAAiAAAiAAAiAAAn5IAMKLHw4augwCIAACIAACIAACIAACIAACIAACIOAfBCC8+Mc4oZcgAAIgAAIgAAIgAAIgAAIgAAIgAAJ+SADCix8OGroMAiAAAiAAAiAAAiAAAiAAAiAAAiDgHwQgvPjHOKGXIAACIAACIAACIAACIAACIAACIAACfkgAwosfDhq6DAIgAAIgAAIgAAIgAAIgAAIgAAIg4B8EILz4xzihlyAAAiAAAiAAAiAAAiAAAiAAAiAAAn5IAMKLHw4augwCIAACIAACIAACIAACIAACIAACIOAfBCC8+Mc4oZcgAAIgAAIgAAIgAAIgAAIgAAIgAAJ+SADCix8OGroMAiAAAiAAAiAAAiAAAiAAAiAAAiDgHwQgvPjHOKGXIAACIAACIAACIAACIAACIAACIAACfkgAwosfDhq6DAIgAAIgAAIgAAIgAAIgAAIgAAIg4B8EILz4xzihlyAAAiAAAiAAAiAAAiAAAiAAAiAAAn5IAMKLHw4augwCIAACIAACIAACIAACIAACIAACIOAfBCC8+Mc4oZcgAAIgAAIgAAIgAAIgAAIgAAIgAAJ+SADCix8OGroMAiAAAiAAAiAAAiAAAiAAAiAAAiDgHwQgvPjHOKGXIAACIAACIAACIAACIAACIAACIAACfkgAwosfDhq6DAIgAAIgAAIgAAIgAAIgAAIgAAIg4B8EILz4xzihlyAAAiAAAiAAAiAAAiAAAiAAAiAAAn5I4P/wBlUMHk+ISAAAAABJRU5ErkJggg==",
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    }
   ],
   "source": [
    "import plotly.express as px\n",
    "\n",
    "fig = px.line(rollingdf, x=\"date\", y=\"saliency\", color='party', title=\"Saliency of climate politics by party over time\", range_y=[0,0.1], color_discrete_map=PARTYCOLORS)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 364,
   "id": "fea54541-c94f-4533-80e3-8bc0a037d02a",
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Saliency of Climate by party over time\"}},                        {\"responsive\": true}                    ).then(function(){\n",
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.express as px\n",
    "\n",
    "fig = px.area(rollingdf, x=\"date\", y=\"relative_saliency\", color='party', title=\"Relative Saliency of Climate by party over time\", range_y=[0,1], color_discrete_map=PARTYCOLORS)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "81514e38-89f1-4149-b20b-eec88aa2cb01",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 365,
   "id": "cad60d5e-d391-4ce7-a810-f114e73c1102",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Count pargraphs per party again and convert number to dataframe\n",
    "climatecount = dfg.value_counts(\"party\")\n",
    "totals = pd.DataFrame(totalcount.reset_index()).rename(columns={\"party\":\"total_party\", \"index\":\"party\"})\n",
    "climatecount = pd.DataFrame(climatecount.reset_index()).rename(columns={0:\"total_climate\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 366,
   "id": "c8d575b6-437f-4b7e-b2eb-59e58ca4d9c0",
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   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>party</th>\n",
       "      <th>total_climate</th>\n",
       "      <th>total_party</th>\n",
       "      <th>saliency_climate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GRUENE</td>\n",
       "      <td>1343</td>\n",
       "      <td>33504</td>\n",
       "      <td>0.040085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SPD</td>\n",
       "      <td>1093</td>\n",
       "      <td>53429</td>\n",
       "      <td>0.020457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CDU</td>\n",
       "      <td>883</td>\n",
       "      <td>57941</td>\n",
       "      <td>0.015240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>FDP</td>\n",
       "      <td>651</td>\n",
       "      <td>34280</td>\n",
       "      <td>0.018991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>DIE LINKE</td>\n",
       "      <td>611</td>\n",
       "      <td>32745</td>\n",
       "      <td>0.018659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>AfD</td>\n",
       "      <td>600</td>\n",
       "      <td>45268</td>\n",
       "      <td>0.013254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CSU</td>\n",
       "      <td>510</td>\n",
       "      <td>21279</td>\n",
       "      <td>0.023967</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "       party  total_climate  total_party  saliency_climate\n",
       "0     GRUENE           1343        33504          0.040085\n",
       "1        SPD           1093        53429          0.020457\n",
       "2        CDU            883        57941          0.015240\n",
       "3        FDP            651        34280          0.018991\n",
       "4  DIE LINKE            611        32745          0.018659\n",
       "5        AfD            600        45268          0.013254\n",
       "6        CSU            510        21279          0.023967"
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    "# Calculate saliency of climate for the entire electoral term\n",
    "climatecount = climatecount.merge(totals)\n",
    "climatecount[\"saliency_climate\"] = climatecount[\"total_climate\"]/climatecount[\"total_party\"]\n",
    "climatecount"
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.express as px\n",
    "fig = px.pie(climatecount, values='saliency_climate', names='party', title='Saliency Climate', color=\"party\", color_discrete_map=PARTYCOLORS)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 373,
   "id": "f759e9fa-d736-4502-8b53-caa0ede6ce5f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\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>0</th>\n",
       "      <th>category</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-10-24</th>\n",
       "      <td>110</td>\n",
       "      <td>total</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-21</th>\n",
       "      <td>1150</td>\n",
       "      <td>total</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-22</th>\n",
       "      <td>708</td>\n",
       "      <td>total</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-12</th>\n",
       "      <td>1278</td>\n",
       "      <td>total</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-13</th>\n",
       "      <td>1227</td>\n",
       "      <td>total</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               0 category\n",
       "date                     \n",
       "2017-10-24   110    total\n",
       "2017-11-21  1150    total\n",
       "2017-11-22   708    total\n",
       "2017-12-12  1278    total\n",
       "2017-12-13  1227    total"
      ]
     },
     "execution_count": 373,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pg_count = pd.DataFrame(pg_count)\n",
    "pg_count[\"category\"] = \"total\"\n",
    "pg_count.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 372,
   "id": "b93ab765-1016-4df5-bac8-bf82234ae58f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>category</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-11-21</th>\n",
       "      <td>54</td>\n",
       "      <td>climate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-12</th>\n",
       "      <td>8</td>\n",
       "      <td>climate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-13</th>\n",
       "      <td>3</td>\n",
       "      <td>climate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-17</th>\n",
       "      <td>5</td>\n",
       "      <td>climate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-18</th>\n",
       "      <td>46</td>\n",
       "      <td>climate</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             0 category\n",
       "date                   \n",
       "2017-11-21  54  climate\n",
       "2017-12-12   8  climate\n",
       "2017-12-13   3  climate\n",
       "2018-01-17   5  climate\n",
       "2018-01-18  46  climate"
      ]
     },
     "execution_count": 372,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pg_count_cl = dfg.value_counts(\"date\", sort=False)\n",
    "pg_count_cl = pd.DataFrame(pg_count_cl)\n",
    "pg_count_cl[\"category\"] = \"climate\"\n",
    "pg_count_cl.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 374,
   "id": "02cea68d-8df2-430d-9dc8-25557f355583",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_61387/1448626636.py:1: FutureWarning:\n",
      "\n",
      "The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "pg_count = pg_count.concat(pg_count_cl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 379,
   "id": "965e0b80-da1c-4377-8a2d-60156370d2e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "pg_count = pg_count.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 381,
   "id": "df4216c9-9352-4372-bcb1-b79961e6c6f7",
   "metadata": {},
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <td>2017-10-24</td>\n",
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       "      <td>total</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017-11-21</td>\n",
       "      <td>1150</td>\n",
       "      <td>total</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-11-22</td>\n",
       "      <td>708</td>\n",
       "      <td>total</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017-12-12</td>\n",
       "      <td>1278</td>\n",
       "      <td>total</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017-12-13</td>\n",
       "      <td>1227</td>\n",
       "      <td>total</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>461</th>\n",
       "      <td>2021-06-23</td>\n",
       "      <td>8</td>\n",
       "      <td>climate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>462</th>\n",
       "      <td>2021-06-24</td>\n",
       "      <td>103</td>\n",
       "      <td>climate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>463</th>\n",
       "      <td>2021-06-25</td>\n",
       "      <td>14</td>\n",
       "      <td>climate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>2021-08-25</td>\n",
       "      <td>22</td>\n",
       "      <td>climate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>465</th>\n",
       "      <td>2021-09-07</td>\n",
       "      <td>43</td>\n",
       "      <td>climate</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>466 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           date     0 category\n",
       "0    2017-10-24   110    total\n",
       "1    2017-11-21  1150    total\n",
       "2    2017-11-22   708    total\n",
       "3    2017-12-12  1278    total\n",
       "4    2017-12-13  1227    total\n",
       "..          ...   ...      ...\n",
       "461  2021-06-23     8  climate\n",
       "462  2021-06-24   103  climate\n",
       "463  2021-06-25    14  climate\n",
       "464  2021-08-25    22  climate\n",
       "465  2021-09-07    43  climate\n",
       "\n",
       "[466 rows x 3 columns]"
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     },
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   ],
   "source": [
    "import plotly.express as px\n",
    "\n",
    "fig = px.bar(pg_count_cl.reset_index(), x=\"date\", y=0, title='Mention Klimawandel')\n",
    "fig.show()"
   ]
  }
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