{"cells": [{"cell_type": "markdown", "metadata": {}, "source": ["# IREP: registre des \u00e9missions polluantes\n", "\n", "Ce jeu de donn\u00e9es est disponible sous le nombre [Registre des \u00e9missions polluantes](http://www.georisques.gouv.fr/dossiers/irep/telechargement)."]}, {"cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [{"data": {"text/html": ["<div id=\"my_id_menu_nb\">run previous cell, wait for 2 seconds</div>\n", "<script>\n", "function repeat_indent_string(n){\n", "    var a = \"\" ;\n", "    for ( ; n > 0 ; --n)\n", "        a += \"    \";\n", "    return a;\n", "}\n", "// look up into all sections and builds an automated menu //\n", "var update_menu_string = function(begin, lfirst, llast, sformat, send, keep_item, begin_format, end_format) {\n", "    var anchors = document.getElementsByClassName(\"section\");\n", "    if (anchors.length == 0) {\n", "        anchors = document.getElementsByClassName(\"text_cell_render rendered_html\");\n", "    }\n", "    var i,t;\n", "    var text_menu = begin;\n", "    var text_memo = \"<pre>\\nlength:\" + anchors.length + \"\\n\";\n", "    var ind = \"\";\n", "    var memo_level = 1;\n", "    var href;\n", "    var tags = [];\n", "    var main_item = 0;\n", "    var format_open = 0;\n", "    for (i = 0; i <= llast; i++)\n", "        tags.push(\"h\" + i);\n", "\n", "    for (i = 0; i < anchors.length; i++) {\n", "        text_memo += \"**\" + anchors[i].id + \"--\\n\";\n", "\n", "        var child = null;\n", "        for(t = 0; t < tags.length; t++) {\n", "            var r = anchors[i].getElementsByTagName(tags[t]);\n", "            if (r.length > 0) {\n", "child = r[0];\n", "break;\n", "            }\n", "        }\n", "        if (child == null) {\n", "            text_memo += \"null\\n\";\n", "            continue;\n", "        }\n", "        if (anchors[i].hasAttribute(\"id\")) {\n", "            // when converted in RST\n", "            href = anchors[i].id;\n", "            text_memo += \"#1-\" + href;\n", "            // passer \u00e0 child suivant (le chercher)\n", "        }\n", "        else if (child.hasAttribute(\"id\")) {\n", "            // in a notebook\n", "            href = child.id;\n", "            text_memo += \"#2-\" + href;\n", "        }\n", "        else {\n", "            text_memo += \"#3-\" + \"*\" + \"\\n\";\n", "            continue;\n", "        }\n", "        var title = child.textContent;\n", "        var level = parseInt(child.tagName.substring(1,2));\n", "\n", "        text_memo += \"--\" + level + \"?\" + lfirst + \"--\" + title + \"\\n\";\n", "\n", "        if ((level < lfirst) || (level > llast)) {\n", "            continue ;\n", "        }\n", "        if (title.endsWith('\u00b6')) {\n", "            title = title.substring(0,title.length-1).replace(\"<\", \"&lt;\")\n", "         .replace(\">\", \"&gt;\").replace(\"&\", \"&amp;\");\n", "        }\n", "        if (title.length == 0) {\n", "            continue;\n", "        }\n", "\n", "        while (level < memo_level) {\n", "            text_menu += end_format + \"</ul>\\n\";\n", "            format_open -= 1;\n", "            memo_level -= 1;\n", "        }\n", "        if (level == lfirst) {\n", "            main_item += 1;\n", "        }\n", "        if (keep_item != -1 && main_item != keep_item + 1) {\n", "            // alert(main_item + \" - \" + level + \" - \" + keep_item);\n", "            continue;\n", "        }\n", "        while (level > memo_level) {\n", "            text_menu += \"<ul>\\n\";\n", "            memo_level += 1;\n", "        }\n", "        text_menu += repeat_indent_string(level-2);\n", "        text_menu += begin_format + sformat.replace(\"__HREF__\", href).replace(\"__TITLE__\", title);\n", "        format_open += 1;\n", "    }\n", "    while (1 < memo_level) {\n", "        text_menu += end_format + \"</ul>\\n\";\n", "        memo_level -= 1;\n", "        format_open -= 1;\n", "    }\n", "    text_menu += send;\n", "    //text_menu += \"\\n\" + text_memo;\n", "\n", "    while (format_open > 0) {\n", "        text_menu += end_format;\n", "        format_open -= 1;\n", "    }\n", "    return text_menu;\n", "};\n", "var update_menu = function() {\n", "    var sbegin = \"\";\n", "    var sformat = '<a href=\"#__HREF__\">__TITLE__</a>';\n", "    var send = \"\";\n", "    var begin_format = '<li>';\n", "    var end_format = '</li>';\n", "    var keep_item = -1;\n", "    var text_menu = update_menu_string(sbegin, 2, 4, sformat, send, keep_item,\n", "       begin_format, end_format);\n", "    var menu = document.getElementById(\"my_id_menu_nb\");\n", "    menu.innerHTML=text_menu;\n", "};\n", "window.setTimeout(update_menu,2000);\n", "            </script>"], "text/plain": ["<IPython.core.display.HTML object>"]}, "execution_count": 2, "metadata": {}, "output_type": "execute_result"}], "source": ["from jyquickhelper import add_notebook_menu\n", "add_notebook_menu()"]}, {"cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": ["%matplotlib inline"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## R\u00e9cup\u00e9ration des donn\u00e9es\n", "\n", "Les donn\u00e9es ont \u00e9t\u00e9 pr\u00e9alablement t\u00e9l\u00e9charg\u00e9es et zipp\u00e9es."]}, {"cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [{"data": {"text/plain": ["['2003/emissions.csv',\n", " '2003/etablissements.csv',\n", " '2003/Prelevements.csv',\n", " '2003/Prod_dechets_dangereux.csv',\n", " '2003/Prod_dechets_non_dangereux.csv',\n", " '2003/Trait_dechets_dangereux.csv',\n", " '2003/Trait_dechets_non_dangereux.csv',\n", " '2004/emissions.csv',\n", " '2004/etablissements.csv',\n", " '2004/Prelevements.csv',\n", " '2004/Prod_dechets_dangereux.csv',\n", " '2004/Prod_dechets_non_dangereux.csv',\n", " '2004/Trait_dechets_dangereux.csv',\n", " '2004/Trait_dechets_non_dangereux.csv',\n", " '2005/emissions.csv',\n", " '2005/etablissements.csv',\n", " '2005/Prelevements.csv',\n", " '2005/Prod_dechets_dangereux.csv',\n", " '2005/Prod_dechets_non_dangereux.csv',\n", " '2005/Trait_dechets_dangereux.csv',\n", " '2005/Trait_dechets_non_dangereux.csv',\n", " '2006/emissions.csv',\n", " '2006/etablissements.csv',\n", " '2006/Prelevements.csv',\n", " '2006/Prod_dechets_dangereux.csv',\n", " '2006/Prod_dechets_non_dangereux.csv',\n", " '2006/Trait_dechets_dangereux.csv',\n", " '2006/Trait_dechets_non_dangereux.csv',\n", " '2007/emissions.csv',\n", " '2007/etablissements.csv',\n", " '2007/Prelevements.csv',\n", " '2007/Prod_dechets_dangereux.csv',\n", " '2007/Prod_dechets_non_dangereux.csv',\n", " '2007/Trait_dechets_dangereux.csv',\n", " '2007/Trait_dechets_non_dangereux.csv',\n", " '2008/emissions.csv',\n", " '2008/etablissements.csv',\n", " '2008/Prelevements.csv',\n", " '2008/Prod_dechets_dangereux.csv',\n", " '2008/Prod_dechets_non_dangereux.csv',\n", " '2008/Trait_dechets_dangereux.csv',\n", " '2008/Trait_dechets_non_dangereux.csv',\n", " '2009/emissions.csv',\n", " '2009/etablissements.csv',\n", " '2009/Prelevements.csv',\n", " '2009/Prod_dechets_dangereux.csv',\n", " '2009/Prod_dechets_non_dangereux.csv',\n", " '2009/Trait_dechets_dangereux.csv',\n", " '2009/Trait_dechets_non_dangereux.csv',\n", " '2010/emissions.csv',\n", " '2010/etablissements.csv',\n", " '2010/Prelevements.csv',\n", " '2010/Prod_dechets_dangereux.csv',\n", " '2010/Prod_dechets_non_dangereux.csv',\n", " '2010/Trait_dechets_dangereux.csv',\n", " '2010/Trait_dechets_non_dangereux.csv',\n", " '2011/emissions.csv',\n", " '2011/etablissements.csv',\n", " '2011/Prelevements.csv',\n", " '2011/Prod_dechets_dangereux.csv',\n", " '2011/Prod_dechets_non_dangereux.csv',\n", " '2011/Trait_dechets_dangereux.csv',\n", " '2011/Trait_dechets_non_dangereux.csv',\n", " '2012/emissions.csv',\n", " '2012/etablissements.csv',\n", " '2012/Prelevements.csv',\n", " '2012/Prod_dechets_dangereux.csv',\n", " '2012/Prod_dechets_non_dangereux.csv',\n", " '2012/Trait_dechets_dangereux.csv',\n", " '2012/Trait_dechets_non_dangereux.csv',\n", " '2013/emissions.csv',\n", " '2013/etablissements.csv',\n", " '2013/Prelevements.csv',\n", " '2013/Prod_dechets_dangereux.csv',\n", " '2013/Prod_dechets_non_dangereux.csv',\n", " '2013/Trait_dechets_dangereux.csv',\n", " '2013/Trait_dechets_non_dangereux.csv',\n", " '2014/emissions.csv',\n", " '2014/etablissements.csv',\n", " '2014/Prelevements.csv',\n", " '2014/Prod_dechets_dangereux.csv',\n", " '2014/Prod_dechets_non_dangereux.csv',\n", " '2014/Trait_dechets_dangereux.csv',\n", " '2014/Trait_dechets_non_dangereux.csv',\n", " '2015/emissions.csv',\n", " '2015/etablissements.csv',\n", " '2015/Prelevements.csv',\n", " '2015/Prod_dechets_dangereux.csv',\n", " '2015/Prod_dechets_non_dangereux.csv',\n", " '2015/Trait_dechets_dangereux.csv',\n", " '2015/Trait_dechets_non_dangereux.csv',\n", " '2016/emissions.csv',\n", " '2016/etablissements.csv',\n", " '2016/Prelevements.csv',\n", " '2016/Prod_dechets_dangereux.csv',\n", " '2016/Prod_dechets_non_dangereux.csv',\n", " '2016/Trait_dechets_dangereux.csv',\n", " '2016/Trait_dechets_non_dangereux.csv',\n", " '2017/emissions.csv',\n", " '2017/etablissements.csv',\n", " '2017/Prelevements.csv',\n", " '2017/Prod_dechets_dangereux.csv',\n", " '2017/Prod_dechets_non_dangereux.csv',\n", " '2017/Trait_dechets_dangereux.csv',\n", " '2017/Trait_dechets_non_dangereux.csv']"]}, "execution_count": 4, "metadata": {}, "output_type": "execute_result"}], "source": ["from ensae_teaching_cs.data import load_irep\n", "load_irep()"]}, {"cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [{"data": {"text/html": ["<div>\n", "<style scoped>\n", "    .dataframe tbody tr th:only-of-type {\n", "        vertical-align: middle;\n", "    }\n", "\n", "    .dataframe tbody tr th {\n", "        vertical-align: top;\n", "    }\n", "\n", "    .dataframe thead th {\n", "        text-align: right;\n", "    }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", "  <thead>\n", "    <tr style=\"text-align: right;\">\n", "      <th></th>\n", "      <th>Identifiant</th>\n", "      <th>Nom_Etablissement</th>\n", "      <th>Dechet</th>\n", "      <th>Annee</th>\n", "      <th>Code_Operation_Eliminatio_Valorisation</th>\n", "      <th>Libelle_Operation_Eliminatio_Valorisation</th>\n", "      <th>Code_Departement</th>\n", "      <th>Pays</th>\n", "      <th>Code_Dechet</th>\n", "      <th>Libelle_Dechet</th>\n", "      <th>Quantite</th>\n", "      <th>Unite</th>\n", "    </tr>\n", "  </thead>\n", "  <tbody>\n", "    <tr>\n", "      <th>0</th>\n", "      <td>31.02589</td>\n", "      <td>POLYPROCESS</td>\n", "      <td>Production de d\u00c3\u00a9chets dangereux</td>\n", "      <td>2017</td>\n", "      <td>D13</td>\n", "      <td>D13 Regroupement pr\u00e9alablement \u00e0 l'une des op\u00e9...</td>\n", "      <td>33</td>\n", "      <td>NaN</td>\n", "      <td>16 03 03*</td>\n", "      <td>D\u00e9chets d'origine min\u00e9rale contenant des subst...</td>\n", "      <td>2.320</td>\n", "      <td>t/an</td>\n", "    </tr>\n", "    <tr>\n", "      <th>1</th>\n", "      <td>31.02589</td>\n", "      <td>POLYPROCESS</td>\n", "      <td>Production de d\u00c3\u00a9chets dangereux</td>\n", "      <td>2017</td>\n", "      <td>D8</td>\n", "      <td>D8 Traitement biologique non sp\u00e9cifi\u00e9 ailleurs...</td>\n", "      <td>64</td>\n", "      <td>NaN</td>\n", "      <td>13 05 07*</td>\n", "      <td>Eau m\u00e9lang\u00e9e \u00e0 des hydrocarbures provenant de ...</td>\n", "      <td>1.500</td>\n", "      <td>t/an</td>\n", "    </tr>\n", "    <tr>\n", "      <th>2</th>\n", "      <td>31.02589</td>\n", "      <td>POLYPROCESS</td>\n", "      <td>Production de d\u00c3\u00a9chets dangereux</td>\n", "      <td>2017</td>\n", "      <td>R12</td>\n", "      <td>R12 Echange de d\u00e9chets en vue de les soumettre...</td>\n", "      <td>16</td>\n", "      <td>NaN</td>\n", "      <td>13 05 02*</td>\n", "      <td>Boues provenant de s\u00e9parateurs eau/hydrocarbures</td>\n", "      <td>0.500</td>\n", "      <td>t/an</td>\n", "    </tr>\n", "    <tr>\n", "      <th>3</th>\n", "      <td>31.02589</td>\n", "      <td>POLYPROCESS</td>\n", "      <td>Production de d\u00c3\u00a9chets dangereux</td>\n", "      <td>2017</td>\n", "      <td>R13</td>\n", "      <td>R13 Stockage de d\u00e9chets pr\u00e9alablement \u00e0 l'une ...</td>\n", "      <td>33</td>\n", "      <td>NaN</td>\n", "      <td>06 10 02*</td>\n", "      <td>D\u00e9chets contenant des substances dangereuses</td>\n", "      <td>0.103</td>\n", "      <td>t/an</td>\n", "    </tr>\n", "    <tr>\n", "      <th>4</th>\n", "      <td>31.02589</td>\n", "      <td>POLYPROCESS</td>\n", "      <td>Production de d\u00c3\u00a9chets dangereux</td>\n", "      <td>2017</td>\n", "      <td>R13</td>\n", "      <td>R13 Stockage de d\u00e9chets pr\u00e9alablement \u00e0 l'une ...</td>\n", "      <td>33</td>\n", "      <td>NaN</td>\n", "      <td>15 01 10*</td>\n", "      <td>Emballages contenant des r\u00e9sidus de substances...</td>\n", "      <td>2.400</td>\n", "      <td>t/an</td>\n", "    </tr>\n", "  </tbody>\n", "</table>\n", "</div>"], "text/plain": ["   Identifiant Nom_Etablissement                            Dechet  Annee  \\\n", "0     31.02589       POLYPROCESS  Production de d\u00c3\u00a9chets dangereux   2017   \n", "1     31.02589       POLYPROCESS  Production de d\u00c3\u00a9chets dangereux   2017   \n", "2     31.02589       POLYPROCESS  Production de d\u00c3\u00a9chets dangereux   2017   \n", "3     31.02589       POLYPROCESS  Production de d\u00c3\u00a9chets dangereux   2017   \n", "4     31.02589       POLYPROCESS  Production de d\u00c3\u00a9chets dangereux   2017   \n", "\n", "  Code_Operation_Eliminatio_Valorisation  \\\n", "0                                    D13   \n", "1                                    D8    \n", "2                                    R12   \n", "3                                    R13   \n", "4                                    R13   \n", "\n", "           Libelle_Operation_Eliminatio_Valorisation Code_Departement Pays  \\\n", "0  D13 Regroupement pr\u00e9alablement \u00e0 l'une des op\u00e9...               33  NaN   \n", "1  D8 Traitement biologique non sp\u00e9cifi\u00e9 ailleurs...               64  NaN   \n", "2  R12 Echange de d\u00e9chets en vue de les soumettre...               16  NaN   \n", "3  R13 Stockage de d\u00e9chets pr\u00e9alablement \u00e0 l'une ...               33  NaN   \n", "4  R13 Stockage de d\u00e9chets pr\u00e9alablement \u00e0 l'une ...               33  NaN   \n", "\n", "  Code_Dechet                                     Libelle_Dechet  Quantite  \\\n", "0   16 03 03*  D\u00e9chets d'origine min\u00e9rale contenant des subst...     2.320   \n", "1   13 05 07*  Eau m\u00e9lang\u00e9e \u00e0 des hydrocarbures provenant de ...     1.500   \n", "2   13 05 02*   Boues provenant de s\u00e9parateurs eau/hydrocarbures     0.500   \n", "3   06 10 02*       D\u00e9chets contenant des substances dangereuses     0.103   \n", "4   15 01 10*  Emballages contenant des r\u00e9sidus de substances...     2.400   \n", "\n", "  Unite  \n", "0  t/an  \n", "1  t/an  \n", "2  t/an  \n", "3  t/an  \n", "4  t/an  "]}, "execution_count": 5, "metadata": {}, "output_type": "execute_result"}], "source": ["import pandas\n", "df = pandas.read_csv(\"2017/Prod_dechets_dangereux.csv\")\n", "df.head()"]}, {"cell_type": "code", "execution_count": 5, "metadata": {"scrolled": false}, "outputs": [{"data": {"text/plain": ["['LUBRIZOL FRANCE',\n", " 'LUBRIZOL France',\n", " 'LUBRIZOL France Site de Rouen (si\u00e8ge social et usine)']"]}, "execution_count": 6, "metadata": {}, "output_type": "execute_result"}], "source": ["[_ for _ in set(df.Nom_Etablissement) if \"lubrizol\" in _.lower()]"]}, {"cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [{"data": {"text/html": ["<div>\n", "<style scoped>\n", "    .dataframe tbody tr th:only-of-type {\n", "        vertical-align: middle;\n", "    }\n", "\n", "    .dataframe tbody tr th {\n", "        vertical-align: top;\n", "    }\n", "\n", "    .dataframe thead th {\n", "        text-align: right;\n", "    }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", "  <thead>\n", "    <tr style=\"text-align: right;\">\n", "      <th></th>\n", "      <th>5073</th>\n", "      <th>5074</th>\n", "      <th>5075</th>\n", "      <th>5076</th>\n", "      <th>19092</th>\n", "    </tr>\n", "  </thead>\n", "  <tbody>\n", "    <tr>\n", "      <th>Identifiant</th>\n", "      <td>52.02708</td>\n", "      <td>52.02708</td>\n", "      <td>52.02708</td>\n", "      <td>52.02708</td>\n", "      <td>58.00574</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Nom_Etablissement</th>\n", "      <td>LUBRIZOL FRANCE</td>\n", "      <td>LUBRIZOL FRANCE</td>\n", "      <td>LUBRIZOL FRANCE</td>\n", "      <td>LUBRIZOL FRANCE</td>\n", "      <td>LUBRIZOL France Site de Rouen (si\u00e8ge social et...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Dechet</th>\n", "      <td>Production de d\u00c3\u00a9chets dangereux</td>\n", "      <td>Production de d\u00c3\u00a9chets dangereux</td>\n", "      <td>Production de d\u00c3\u00a9chets dangereux</td>\n", "      <td>Production de d\u00c3\u00a9chets dangereux</td>\n", "      <td>Production de d\u00c3\u00a9chets dangereux</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Annee</th>\n", "      <td>2017</td>\n", "      <td>2017</td>\n", "      <td>2017</td>\n", "      <td>2017</td>\n", "      <td>2017</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Code_Operation_Eliminatio_Valorisation</th>\n", "      <td>D10</td>\n", "      <td>D5</td>\n", "      <td>D8</td>\n", "      <td>R12</td>\n", "      <td>D10</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Libelle_Operation_Eliminatio_Valorisation</th>\n", "      <td>D10 Incin\u00e9ration \u00e0 terre</td>\n", "      <td>D5 Mise en d\u00e9charge sp\u00e9cialement am\u00e9nag\u00e9e (par...</td>\n", "      <td>D8 Traitement biologique non sp\u00e9cifi\u00e9 ailleurs...</td>\n", "      <td>R12 Echange de d\u00e9chets en vue de les soumettre...</td>\n", "      <td>D10 Incin\u00e9ration \u00e0 terre</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Code_Departement</th>\n", "      <td>01</td>\n", "      <td>30</td>\n", "      <td>64</td>\n", "      <td>34</td>\n", "      <td>76</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Pays</th>\n", "      <td>NaN</td>\n", "      <td>NaN</td>\n", "      <td>NaN</td>\n", "      <td>NaN</td>\n", "      <td>NaN</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Code_Dechet</th>\n", "      <td>07 01 01*</td>\n", "      <td>17 02 04*</td>\n", "      <td>07 07 01*</td>\n", "      <td>15 02 02*</td>\n", "      <td>07 01 04*</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Libelle_Dechet</th>\n", "      <td>Eaux de lavage et liqueurs m\u00e8res aqueuses</td>\n", "      <td>Bois, verre et mati\u00e8res plastiques contenant d...</td>\n", "      <td>Eaux de lavage et liqueurs m\u00e8res aqueuses</td>\n", "      <td>Absorbants, mat\u00e9riaux filtrants (y compris les...</td>\n", "      <td>Autres solvants, liquides de lavage et liqueur...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Quantite</th>\n", "      <td>20.0</td>\n", "      <td>0.0022</td>\n", "      <td>8.34</td>\n", "      <td>0.989</td>\n", "      <td>472.0</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Unite</th>\n", "      <td>t/an</td>\n", "      <td>t/an</td>\n", "      <td>t/an</td>\n", "      <td>t/an</td>\n", "      <td>t/an</td>\n", "    </tr>\n", "  </tbody>\n", "</table>\n", "</div>"], "text/plain": ["                                                                               5073   \\\n", "Identifiant                                                                 52.02708   \n", "Nom_Etablissement                                                    LUBRIZOL FRANCE   \n", "Dechet                                              Production de d\u00c3\u00a9chets dangereux   \n", "Annee                                                                           2017   \n", "Code_Operation_Eliminatio_Valorisation                                           D10   \n", "Libelle_Operation_Eliminatio_Valorisation                   D10 Incin\u00e9ration \u00e0 terre   \n", "Code_Departement                                                                  01   \n", "Pays                                                                             NaN   \n", "Code_Dechet                                                                07 01 01*   \n", "Libelle_Dechet                             Eaux de lavage et liqueurs m\u00e8res aqueuses   \n", "Quantite                                                                        20.0   \n", "Unite                                                                           t/an   \n", "\n", "                                                                                       5074   \\\n", "Identifiant                                                                         52.02708   \n", "Nom_Etablissement                                                            LUBRIZOL FRANCE   \n", "Dechet                                                      Production de d\u00c3\u00a9chets dangereux   \n", "Annee                                                                                   2017   \n", "Code_Operation_Eliminatio_Valorisation                                                   D5    \n", "Libelle_Operation_Eliminatio_Valorisation  D5 Mise en d\u00e9charge sp\u00e9cialement am\u00e9nag\u00e9e (par...   \n", "Code_Departement                                                                          30   \n", "Pays                                                                                     NaN   \n", "Code_Dechet                                                                        17 02 04*   \n", "Libelle_Dechet                             Bois, verre et mati\u00e8res plastiques contenant d...   \n", "Quantite                                                                              0.0022   \n", "Unite                                                                                   t/an   \n", "\n", "                                                                                       5075   \\\n", "Identifiant                                                                         52.02708   \n", "Nom_Etablissement                                                            LUBRIZOL FRANCE   \n", "Dechet                                                      Production de d\u00c3\u00a9chets dangereux   \n", "Annee                                                                                   2017   \n", "Code_Operation_Eliminatio_Valorisation                                                   D8    \n", "Libelle_Operation_Eliminatio_Valorisation  D8 Traitement biologique non sp\u00e9cifi\u00e9 ailleurs...   \n", "Code_Departement                                                                          64   \n", "Pays                                                                                     NaN   \n", "Code_Dechet                                                                        07 07 01*   \n", "Libelle_Dechet                                     Eaux de lavage et liqueurs m\u00e8res aqueuses   \n", "Quantite                                                                                8.34   \n", "Unite                                                                                   t/an   \n", "\n", "                                                                                       5076   \\\n", "Identifiant                                                                         52.02708   \n", "Nom_Etablissement                                                            LUBRIZOL FRANCE   \n", "Dechet                                                      Production de d\u00c3\u00a9chets dangereux   \n", "Annee                                                                                   2017   \n", "Code_Operation_Eliminatio_Valorisation                                                   R12   \n", "Libelle_Operation_Eliminatio_Valorisation  R12 Echange de d\u00e9chets en vue de les soumettre...   \n", "Code_Departement                                                                          34   \n", "Pays                                                                                     NaN   \n", "Code_Dechet                                                                        15 02 02*   \n", "Libelle_Dechet                             Absorbants, mat\u00e9riaux filtrants (y compris les...   \n", "Quantite                                                                               0.989   \n", "Unite                                                                                   t/an   \n", "\n", "                                                                                       19092  \n", "Identifiant                                                                         58.00574  \n", "Nom_Etablissement                          LUBRIZOL France Site de Rouen (si\u00e8ge social et...  \n", "Dechet                                                      Production de d\u00c3\u00a9chets dangereux  \n", "Annee                                                                                   2017  \n", "Code_Operation_Eliminatio_Valorisation                                                   D10  \n", "Libelle_Operation_Eliminatio_Valorisation                           D10 Incin\u00e9ration \u00e0 terre  \n", "Code_Departement                                                                          76  \n", "Pays                                                                                     NaN  \n", "Code_Dechet                                                                        07 01 04*  \n", "Libelle_Dechet                             Autres solvants, liquides de lavage et liqueur...  \n", "Quantite                                                                               472.0  \n", "Unite                                                                                   t/an  "]}, "execution_count": 7, "metadata": {}, "output_type": "execute_result"}], "source": ["df[df.Nom_Etablissement.str.contains(\"LUBRI\")].head().T"]}, {"cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [{"data": {"text/html": ["<div>\n", "<style scoped>\n", "    .dataframe tbody tr th:only-of-type {\n", "        vertical-align: middle;\n", "    }\n", "\n", "    .dataframe tbody tr th {\n", "        vertical-align: top;\n", "    }\n", "\n", "    .dataframe thead th {\n", "        text-align: right;\n", "    }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", "  <thead>\n", "    <tr style=\"text-align: right;\">\n", "      <th></th>\n", "      <th>Identifiant</th>\n", "      <th>Nom_Etablissement</th>\n", "      <th>Numero_SIRET</th>\n", "      <th>Adresse</th>\n", "      <th>Code_Postal</th>\n", "      <th>Commune</th>\n", "      <th>Departement</th>\n", "      <th>Region</th>\n", "      <th>Coordonnees_X</th>\n", "      <th>Coordonnees_Y</th>\n", "      <th>Code_APE</th>\n", "      <th>Libelle_APE</th>\n", "      <th>code_eprtr</th>\n", "      <th>libelle_eprtr</th>\n", "    </tr>\n", "  </thead>\n", "  <tbody>\n", "    <tr>\n", "      <th>0</th>\n", "      <td>68.11539</td>\n", "      <td>Carri\u00e8res BERNADETS - ISDI</td>\n", "      <td>54608016900115</td>\n", "      <td>NaN</td>\n", "      <td>31420</td>\n", "      <td>AURIGNAC</td>\n", "      <td>HAUTE-GARONNE</td>\n", "      <td>OCCITANIE</td>\n", "      <td>481659.0</td>\n", "      <td>1802490.0</td>\n", "      <td>0812Z</td>\n", "      <td>Exploitation de gravi\u00e8res et sabli\u00e8res, extrac...</td>\n", "      <td>NaN</td>\n", "      <td>NaN</td>\n", "    </tr>\n", "    <tr>\n", "      <th>1</th>\n", "      <td>61.10406</td>\n", "      <td>REVAGA</td>\n", "      <td>51058711600037</td>\n", "      <td>NaN</td>\n", "      <td>69390</td>\n", "      <td>MILLERY</td>\n", "      <td>RHONE</td>\n", "      <td>AUVERGNE-RHONE-ALPES</td>\n", "      <td>790678.0</td>\n", "      <td>2073093.0</td>\n", "      <td>3811Z</td>\n", "      <td>Collecte des d\u00e9chets non dangereux</td>\n", "      <td>NaN</td>\n", "      <td>NaN</td>\n", "    </tr>\n", "    <tr>\n", "      <th>2</th>\n", "      <td>124.00155</td>\n", "      <td>SATE</td>\n", "      <td>42976802100025</td>\n", "      <td>NaN</td>\n", "      <td>90150</td>\n", "      <td>FONTAINE</td>\n", "      <td>TERRITOIRE-DE-BELFORT</td>\n", "      <td>BOURGOGNE-FRANCHE-COMTE</td>\n", "      <td>949818.0</td>\n", "      <td>2305514.0</td>\n", "      <td>2751Z</td>\n", "      <td>Fabrication d'appareils \u00e9lectrom\u00e9nagers</td>\n", "      <td>NaN</td>\n", "      <td>NaN</td>\n", "    </tr>\n", "    <tr>\n", "      <th>3</th>\n", "      <td>61.08347</td>\n", "      <td>GRTgaz - Station de Compression de St AVIT</td>\n", "      <td>44011762001571</td>\n", "      <td>NaN</td>\n", "      <td>26330</td>\n", "      <td>CHATEAUNEUF-DE-GALAURE</td>\n", "      <td>DROME</td>\n", "      <td>AUVERGNE-RHONE-ALPES</td>\n", "      <td>805789.0</td>\n", "      <td>2028946.0</td>\n", "      <td>4950Z</td>\n", "      <td>Transports par conduites</td>\n", "      <td>NaN</td>\n", "      <td>NaN</td>\n", "    </tr>\n", "    <tr>\n", "      <th>4</th>\n", "      <td>61.10271</td>\n", "      <td>FONDEX SAS</td>\n", "      <td>60562013700030</td>\n", "      <td>NaN</td>\n", "      <td>74302</td>\n", "      <td>CLUSES</td>\n", "      <td>HAUTE-SAVOIE</td>\n", "      <td>AUVERGNE-RHONE-ALPES</td>\n", "      <td>928249.0</td>\n", "      <td>2126191.0</td>\n", "      <td>2550B</td>\n", "      <td>D\u00e9coupage, emboutissage</td>\n", "      <td>NaN</td>\n", "      <td>NaN</td>\n", "    </tr>\n", "  </tbody>\n", "</table>\n", "</div>"], "text/plain": ["   Identifiant                           Nom_Etablissement    Numero_SIRET  \\\n", "0     68.11539                  Carri\u00e8res BERNADETS - ISDI  54608016900115   \n", "1     61.10406                                      REVAGA  51058711600037   \n", "2    124.00155                                        SATE  42976802100025   \n", "3     61.08347  GRTgaz - Station de Compression de St AVIT  44011762001571   \n", "4     61.10271                                  FONDEX SAS  60562013700030   \n", "\n", "  Adresse  Code_Postal                 Commune            Departement  \\\n", "0     NaN        31420                AURIGNAC          HAUTE-GARONNE   \n", "1     NaN        69390                 MILLERY                  RHONE   \n", "2     NaN        90150                FONTAINE  TERRITOIRE-DE-BELFORT   \n", "3     NaN        26330  CHATEAUNEUF-DE-GALAURE                  DROME   \n", "4     NaN        74302                  CLUSES           HAUTE-SAVOIE   \n", "\n", "                    Region  Coordonnees_X  Coordonnees_Y Code_APE  \\\n", "0                OCCITANIE       481659.0      1802490.0    0812Z   \n", "1     AUVERGNE-RHONE-ALPES       790678.0      2073093.0    3811Z   \n", "2  BOURGOGNE-FRANCHE-COMTE       949818.0      2305514.0    2751Z   \n", "3     AUVERGNE-RHONE-ALPES       805789.0      2028946.0    4950Z   \n", "4     AUVERGNE-RHONE-ALPES       928249.0      2126191.0    2550B   \n", "\n", "                                         Libelle_APE code_eprtr libelle_eprtr  \n", "0  Exploitation de gravi\u00e8res et sabli\u00e8res, extrac...        NaN           NaN  \n", "1                 Collecte des d\u00e9chets non dangereux        NaN           NaN  \n", "2            Fabrication d'appareils \u00e9lectrom\u00e9nagers        NaN           NaN  \n", "3                           Transports par conduites        NaN           NaN  \n", "4                            D\u00e9coupage, emboutissage        NaN           NaN  "]}, "execution_count": 8, "metadata": {}, "output_type": "execute_result"}], "source": ["ets = pandas.read_csv(\"2017/etablissements.csv\")\n", "ets.head()"]}, {"cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [{"data": {"text/html": ["<div>\n", "<style scoped>\n", "    .dataframe tbody tr th:only-of-type {\n", "        vertical-align: middle;\n", "    }\n", "\n", "    .dataframe tbody tr th {\n", "        vertical-align: top;\n", "    }\n", "\n", "    .dataframe thead th {\n", "        text-align: right;\n", "    }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", "  <thead>\n", "    <tr style=\"text-align: right;\">\n", "      <th></th>\n", "      <th>Identifiant</th>\n", "      <th>Nom_Etablissement</th>\n", "      <th>Numero_SIRET</th>\n", "      <th>Adresse</th>\n", "      <th>Code_Postal</th>\n", "      <th>Commune</th>\n", "      <th>Departement</th>\n", "      <th>Region</th>\n", "      <th>Coordonnees_X</th>\n", "      <th>Coordonnees_Y</th>\n", "      <th>Code_APE</th>\n", "      <th>Libelle_APE</th>\n", "      <th>code_eprtr</th>\n", "      <th>libelle_eprtr</th>\n", "    </tr>\n", "  </thead>\n", "  <tbody>\n", "    <tr>\n", "      <th>5696</th>\n", "      <td>52.02708</td>\n", "      <td>LUBRIZOL FRANCE</td>\n", "      <td>54207095800047</td>\n", "      <td>P\u00f4le 4/RD 281 avenue du Lac</td>\n", "      <td>64150</td>\n", "      <td>MOURENX</td>\n", "      <td>PYRENEES-ATLANTIQUES</td>\n", "      <td>NOUVELLE-AQUITAINE</td>\n", "      <td>359197.0</td>\n", "      <td>1823064.0</td>\n", "      <td>2059Z</td>\n", "      <td>Fabrication d'autres produits chimiques n.c.a.</td>\n", "      <td>4.(a).(iii)</td>\n", "      <td>hydrocarbures sulfur\u00e9s</td>\n", "    </tr>\n", "    <tr>\n", "      <th>6147</th>\n", "      <td>58.00574</td>\n", "      <td>LUBRIZOL France Site de Rouen (si\u00e8ge social et...</td>\n", "      <td>54207095800021</td>\n", "      <td>25, Quai de France BP 1062</td>\n", "      <td>76173</td>\n", "      <td>ROUEN</td>\n", "      <td>SEINE-MARITIME</td>\n", "      <td>NORMANDIE</td>\n", "      <td>509411.0</td>\n", "      <td>2494315.0</td>\n", "      <td>2059Z</td>\n", "      <td>Fabrication d'autres produits chimiques n.c.a.</td>\n", "      <td>4.(a).(iii)</td>\n", "      <td>hydrocarbures sulfur\u00e9s</td>\n", "    </tr>\n", "    <tr>\n", "      <th>6707</th>\n", "      <td>58.00575</td>\n", "      <td>LUBRIZOL France</td>\n", "      <td>54207095800039</td>\n", "      <td>ROUTE DU CANAL DE TANCARVILLE</td>\n", "      <td>76430</td>\n", "      <td>OUDALLE</td>\n", "      <td>SEINE-MARITIME</td>\n", "      <td>NORMANDIE</td>\n", "      <td>452455.0</td>\n", "      <td>2502974.0</td>\n", "      <td>2059Z</td>\n", "      <td>Fabrication d'autres produits chimiques n.c.a.</td>\n", "      <td>4.(a).(iii)</td>\n", "      <td>hydrocarbures sulfur\u00e9s</td>\n", "    </tr>\n", "  </tbody>\n", "</table>\n", "</div>"], "text/plain": ["      Identifiant                                  Nom_Etablissement  \\\n", "5696     52.02708                                    LUBRIZOL FRANCE   \n", "6147     58.00574  LUBRIZOL France Site de Rouen (si\u00e8ge social et...   \n", "6707     58.00575                                    LUBRIZOL France   \n", "\n", "        Numero_SIRET                        Adresse  Code_Postal  Commune  \\\n", "5696  54207095800047    P\u00f4le 4/RD 281 avenue du Lac        64150  MOURENX   \n", "6147  54207095800021     25, Quai de France BP 1062        76173    ROUEN   \n", "6707  54207095800039  ROUTE DU CANAL DE TANCARVILLE        76430  OUDALLE   \n", "\n", "               Departement              Region  Coordonnees_X  Coordonnees_Y  \\\n", "5696  PYRENEES-ATLANTIQUES  NOUVELLE-AQUITAINE       359197.0      1823064.0   \n", "6147        SEINE-MARITIME           NORMANDIE       509411.0      2494315.0   \n", "6707        SEINE-MARITIME           NORMANDIE       452455.0      2502974.0   \n", "\n", "     Code_APE                                     Libelle_APE   code_eprtr  \\\n", "5696    2059Z  Fabrication d'autres produits chimiques n.c.a.  4.(a).(iii)   \n", "6147    2059Z  Fabrication d'autres produits chimiques n.c.a.  4.(a).(iii)   \n", "6707    2059Z  Fabrication d'autres produits chimiques n.c.a.  4.(a).(iii)   \n", "\n", "               libelle_eprtr  \n", "5696  hydrocarbures sulfur\u00e9s  \n", "6147  hydrocarbures sulfur\u00e9s  \n", "6707  hydrocarbures sulfur\u00e9s  "]}, "execution_count": 9, "metadata": {}, "output_type": "execute_result"}], "source": ["ets[ets.Nom_Etablissement.str.contains(\"LUBRI\")]"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## Conversion des coordonn\u00e9es\n", "\n", "Les coordonn\u00e9es utilis\u00e9es par l'admnistration fran\u00e7aise sont souvent diff\u00e9rentes des longitudes et latitudes, il pourrait s'agir du syst\u00e8me [Lambert 93](https://epsg.io/2154). Il faut convertir."]}, {"cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [{"name": "stderr", "output_type": "stream", "text": ["/home/xadupre/.local/lib/python3.10/site-packages/pyproj/crs/crs.py:141: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n", "  in_crs_string = _prepare_from_proj_string(in_crs_string)\n", "/home/xadupre/.local/lib/python3.10/site-packages/pyproj/crs/crs.py:141: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n", "  in_crs_string = _prepare_from_proj_string(in_crs_string)\n", "/tmp/ipykernel_942/2485346245.py:5: DeprecationWarning: This function is deprecated. See: https://pyproj4.github.io/pyproj/stable/gotchas.html#upgrading-to-pyproj-2-from-pyproj-1\n", "  transform(p1, p2, 1.059011, 49.434654), exp\n"]}, {"data": {"text/plain": ["((559176.9910858747, 6927865.768822115), (509411.0, 2494315.0))"]}, "execution_count": 10, "metadata": {}, "output_type": "execute_result"}], "source": ["from pyproj import Proj, transform\n", "p1 = Proj(init='epsg:4326')  # longitude / latidude\n", "p2 = Proj(init='epsg:2154')  # Lambert 93\n", "exp = (509411.0, 2494315.0)  # Rouen dans la base de donn\u00e9es re\u00e7ues.\n", "transform(p1, p2, 1.059011, 49.434654), exp"]}, {"cell_type": "markdown", "metadata": {}, "source": ["Ca n'a pas l'air d'\u00eatre \u00e7a. On en essaye plusieurs."]}, {"cell_type": "code", "execution_count": 10, "metadata": {"scrolled": false}, "outputs": [{"name": "stderr", "output_type": "stream", "text": ["100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 8000/8000 [06:25<00:00, 20.76it/s]\n"]}, {"data": {"text/plain": ["[(2543.3576168458094, 2192, (507295.78658682964, 2493886.8557963246)),\n", " (1184546.4626984685, 8352, (896552.3533453116, 1696909.8906468432)),\n", " (1184571.6475299357, 5513, (896599.2137060699, 1696931.5661761342)),\n", " (1184699.265911612, 2065, (896686.9793387237, 1696891.7134271117)),\n", " (1272150.92377346, 2062, (948657.2483424643, 1661410.3245690044)),\n", " (1472957.7033411968, 3943, (1558315.7023544684, 2918368.0009867284)),\n", " (1472957.7033411968, 9823, (1558315.7023544684, 2918368.0009867284)),\n", " (1472957.7033411968, 9843, (1558315.7023544684, 2918368.0009867284)),\n", " (1512638.7699062696, 3942, (1557997.8534661192, 2030263.0835598495)),\n", " (1512638.7699062696, 9822, (1557997.8534661192, 2030263.0835598495))]"]}, "execution_count": 11, "metadata": {}, "output_type": "execute_result"}], "source": ["import warnings\n", "from tqdm import tqdm\n", "warnings.simplefilter(\"ignore\")\n", "\n", "summary = []\n", "for i in tqdm(range(2000, 10000)):\n", "    try:\n", "        p2 = Proj(init='epsg:%d' % i)\n", "    except RuntimeError:\n", "        # does not exist\n", "        continue\n", "    try:\n", "        res = transform(p1, p2, 1.059011, 49.434654)\n", "    except RuntimeError:\n", "        # impossible\n", "        continue\n", "    d = abs(res[0] - exp[0]) + abs(res[1] - exp[1])\n", "    summary.append((d, i, res))\n", "summary.sort()\n", "summary[:10]"]}, {"cell_type": "markdown", "metadata": {}, "source": ["On tombe donc sur [espg:2192](https://epsg.io/2192-8046) ou [espg:7401](https://epsg.io/7401)."]}, {"cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": ["p2 = Proj(init='epsg:2192')\n", "long, lat = transform(p2, p1, ets.Coordonnees_X.values, ets.Coordonnees_Y.values)\n", "ets['LLX'] = long\n", "ets['LLY'] = lat"]}, {"cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [{"data": {"text/html": ["<div>\n", "<style scoped>\n", "    .dataframe tbody tr th:only-of-type {\n", "        vertical-align: middle;\n", "    }\n", "\n", "    .dataframe tbody tr th {\n", "        vertical-align: top;\n", "    }\n", "\n", "    .dataframe thead th {\n", "        text-align: right;\n", "    }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", "  <thead>\n", "    <tr style=\"text-align: right;\">\n", "      <th></th>\n", "      <th>Identifiant</th>\n", "      <th>Nom_Etablissement</th>\n", "      <th>Numero_SIRET</th>\n", "      <th>Adresse</th>\n", "      <th>Code_Postal</th>\n", "      <th>Commune</th>\n", "      <th>Departement</th>\n", "      <th>Region</th>\n", "      <th>Coordonnees_X</th>\n", "      <th>Coordonnees_Y</th>\n", "      <th>Code_APE</th>\n", "      <th>Libelle_APE</th>\n", "      <th>code_eprtr</th>\n", "      <th>libelle_eprtr</th>\n", "      <th>LLX</th>\n", "      <th>LLY</th>\n", "    </tr>\n", "  </thead>\n", "  <tbody>\n", "    <tr>\n", "      <th>5696</th>\n", "      <td>52.02708</td>\n", "      <td>LUBRIZOL FRANCE</td>\n", "      <td>54207095800047</td>\n", "      <td>P\u00f4le 4/RD 281 avenue du Lac</td>\n", "      <td>64150</td>\n", "      <td>MOURENX</td>\n", "      <td>PYRENEES-ATLANTIQUES</td>\n", "      <td>NOUVELLE-AQUITAINE</td>\n", "      <td>359197.0</td>\n", "      <td>1823064.0</td>\n", "      <td>2059Z</td>\n", "      <td>Fabrication d'autres produits chimiques n.c.a.</td>\n", "      <td>4.(a).(iii)</td>\n", "      <td>hydrocarbures sulfur\u00e9s</td>\n", "      <td>-0.630749</td>\n", "      <td>43.367983</td>\n", "    </tr>\n", "    <tr>\n", "      <th>6147</th>\n", "      <td>58.00574</td>\n", "      <td>LUBRIZOL France Site de Rouen (si\u00e8ge social et...</td>\n", "      <td>54207095800021</td>\n", "      <td>25, Quai de France BP 1062</td>\n", "      <td>76173</td>\n", "      <td>ROUEN</td>\n", "      <td>SEINE-MARITIME</td>\n", "      <td>NORMANDIE</td>\n", "      <td>509411.0</td>\n", "      <td>2494315.0</td>\n", "      <td>2059Z</td>\n", "      <td>Fabrication d'autres produits chimiques n.c.a.</td>\n", "      <td>4.(a).(iii)</td>\n", "      <td>hydrocarbures sulfur\u00e9s</td>\n", "      <td>1.088048</td>\n", "      <td>49.438805</td>\n", "    </tr>\n", "    <tr>\n", "      <th>6707</th>\n", "      <td>58.00575</td>\n", "      <td>LUBRIZOL France</td>\n", "      <td>54207095800039</td>\n", "      <td>ROUTE DU CANAL DE TANCARVILLE</td>\n", "      <td>76430</td>\n", "      <td>OUDALLE</td>\n", "      <td>SEINE-MARITIME</td>\n", "      <td>NORMANDIE</td>\n", "      <td>452455.0</td>\n", "      <td>2502974.0</td>\n", "      <td>2059Z</td>\n", "      <td>Fabrication d'autres produits chimiques n.c.a.</td>\n", "      <td>4.(a).(iii)</td>\n", "      <td>hydrocarbures sulfur\u00e9s</td>\n", "      <td>0.300654</td>\n", "      <td>49.505874</td>\n", "    </tr>\n", "  </tbody>\n", "</table>\n", "</div>"], "text/plain": ["      Identifiant                                  Nom_Etablissement  \\\n", "5696     52.02708                                    LUBRIZOL FRANCE   \n", "6147     58.00574  LUBRIZOL France Site de Rouen (si\u00e8ge social et...   \n", "6707     58.00575                                    LUBRIZOL France   \n", "\n", "        Numero_SIRET                        Adresse  Code_Postal  Commune  \\\n", "5696  54207095800047    P\u00f4le 4/RD 281 avenue du Lac        64150  MOURENX   \n", "6147  54207095800021     25, Quai de France BP 1062        76173    ROUEN   \n", "6707  54207095800039  ROUTE DU CANAL DE TANCARVILLE        76430  OUDALLE   \n", "\n", "               Departement              Region  Coordonnees_X  Coordonnees_Y  \\\n", "5696  PYRENEES-ATLANTIQUES  NOUVELLE-AQUITAINE       359197.0      1823064.0   \n", "6147        SEINE-MARITIME           NORMANDIE       509411.0      2494315.0   \n", "6707        SEINE-MARITIME           NORMANDIE       452455.0      2502974.0   \n", "\n", "     Code_APE                                     Libelle_APE   code_eprtr  \\\n", "5696    2059Z  Fabrication d'autres produits chimiques n.c.a.  4.(a).(iii)   \n", "6147    2059Z  Fabrication d'autres produits chimiques n.c.a.  4.(a).(iii)   \n", "6707    2059Z  Fabrication d'autres produits chimiques n.c.a.  4.(a).(iii)   \n", "\n", "               libelle_eprtr       LLX        LLY  \n", "5696  hydrocarbures sulfur\u00e9s -0.630749  43.367983  \n", "6147  hydrocarbures sulfur\u00e9s  1.088048  49.438805  \n", "6707  hydrocarbures sulfur\u00e9s  0.300654  49.505874  "]}, "execution_count": 13, "metadata": {}, "output_type": "execute_result"}], "source": ["ets[ets.Nom_Etablissement.str.contains(\"LUBRI\")]"]}, {"cell_type": "markdown", "metadata": {}, "source": ["Ca a l'air de coller."]}, {"cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": ["ets16 = pandas.read_csv(\"2016/etablissements.csv\")\n", "ets17 = pandas.read_csv(\"2017/etablissements.csv\")\n", "p16 = pandas.read_csv(\"2016/Prod_dechets_dangereux.csv\")\n", "p17 = pandas.read_csv(\"2017/Prod_dechets_dangereux.csv\")\n", "\n", "long, lat = transform(p2, p1, ets16.Coordonnees_X.values, ets16.Coordonnees_Y.values)\n", "ets16['LLX'] = long\n", "ets16['LLY'] = lat\n", "\n", "long, lat = transform(p2, p1, ets17.Coordonnees_X.values, ets17.Coordonnees_Y.values)\n", "ets17['LLX'] = long\n", "ets17['LLY'] = lat"]}, {"cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [{"data": {"text/plain": ["((72337, 27), (72337, 12))"]}, "execution_count": 15, "metadata": {}, "output_type": "execute_result"}], "source": ["ets16_2 = p16.merge(ets16, on=\"Identifiant\")\n", "ets16_2.shape, p16.shape"]}, {"cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [{"data": {"text/plain": ["((73863, 27), (73863, 12))"]}, "execution_count": 16, "metadata": {}, "output_type": "execute_result"}], "source": ["ets17_2 = p17.merge(ets17, on=\"Identifiant\")\n", "ets17_2.shape, p17.shape"]}, {"cell_type": "markdown", "metadata": {}, "source": ["Les fusions se sont bien pass\u00e9es. On v\u00e9rifie que les unit\u00e9s sont comparables."]}, {"cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [{"data": {"text/plain": ["({'t/an'}, {'t/an'})"]}, "execution_count": 17, "metadata": {}, "output_type": "execute_result"}], "source": ["set(p16.Unite), set(p17.Unite)"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## Vue dynamique"]}, {"cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": ["from ipywidgets import interact"]}, {"cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [{"data": {"text/html": ["<div>\n", "<style scoped>\n", "    .dataframe tbody tr th:only-of-type {\n", "        vertical-align: middle;\n", "    }\n", "\n", "    .dataframe tbody tr th {\n", "        vertical-align: top;\n", "    }\n", "\n", "    .dataframe thead th {\n", "        text-align: right;\n", "    }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", "  <thead>\n", "    <tr style=\"text-align: right;\">\n", "      <th></th>\n", "      <th>42643</th>\n", "      <th>11262</th>\n", "      <th>40946</th>\n", "      <th>40945</th>\n", "      <th>38335</th>\n", "    </tr>\n", "  </thead>\n", "  <tbody>\n", "    <tr>\n", "      <th>Identifiant</th>\n", "      <td>65.03322</td>\n", "      <td>55.01076</td>\n", "      <td>64.10462</td>\n", "      <td>64.10462</td>\n", "      <td>64.00243</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Nom_Etablissement_x</th>\n", "      <td>SARP Industries</td>\n", "      <td>RMB</td>\n", "      <td>Soci\u00e9t\u00e9 Nouvelle JCG Environnement</td>\n", "      <td>Soci\u00e9t\u00e9 Nouvelle JCG Environnement</td>\n", "      <td>Hydro Extrusion Puget</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Dechet</th>\n", "      <td>Production de d\u00c3\u00a9chets dangereux</td>\n", "      <td>Production de d\u00c3\u00a9chets dangereux</td>\n", "      <td>Production de d\u00c3\u00a9chets dangereux</td>\n", "      <td>Production de d\u00c3\u00a9chets dangereux</td>\n", "      <td>Production de d\u00c3\u00a9chets dangereux</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Annee</th>\n", "      <td>2017</td>\n", "      <td>2017</td>\n", "      <td>2017</td>\n", "      <td>2017</td>\n", "      <td>2017</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Code_Operation_Eliminatio_Valorisation</th>\n", "      <td>D5</td>\n", "      <td>R4</td>\n", "      <td>D1</td>\n", "      <td>D1</td>\n", "      <td>R4</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Libelle_Operation_Eliminatio_Valorisation</th>\n", "      <td>D5 Mise en d\u00e9charge sp\u00e9cialement am\u00e9nag\u00e9e (par...</td>\n", "      <td>R4 Recyclage ou r\u00e9cup\u00e9ration des m\u00e9taux et des...</td>\n", "      <td>D1 D\u00e9p\u00f4t sur ou dans le sol (par exemple, mise...</td>\n", "      <td>D1 D\u00e9p\u00f4t sur ou dans le sol (par exemple, mise...</td>\n", "      <td>R4 Recyclage ou r\u00e9cup\u00e9ration des m\u00e9taux et des...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Code_Departement</th>\n", "      <td>78</td>\n", "      <td>45</td>\n", "      <td>13</td>\n", "      <td>04</td>\n", "      <td>34</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Pays</th>\n", "      <td>NaN</td>\n", "      <td>NaN</td>\n", "      <td>NaN</td>\n", "      <td>NaN</td>\n", "      <td>NaN</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Code_Dechet</th>\n", "      <td>19 03 04*</td>\n", "      <td>16 06 01*</td>\n", "      <td>18 01 03*</td>\n", "      <td>18 01 03*</td>\n", "      <td>10 03 09*</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Libelle_Dechet</th>\n", "      <td>D\u00e9chets catalogu\u00e9s comme dangereux, partiellem...</td>\n", "      <td>Accumulateurs au plomb</td>\n", "      <td>D\u00e9chets dont la collecte et l'\u00e9limination font...</td>\n", "      <td>D\u00e9chets dont la collecte et l'\u00e9limination font...</td>\n", "      <td>Crasses noires de production secondaire</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Quantite</th>\n", "      <td>122000.0</td>\n", "      <td>284000.0</td>\n", "      <td>316000.0</td>\n", "      <td>341000.0</td>\n", "      <td>1400000.0</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Unite</th>\n", "      <td>t/an</td>\n", "      <td>t/an</td>\n", "      <td>t/an</td>\n", "      <td>t/an</td>\n", "      <td>t/an</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Nom_Etablissement_y</th>\n", "      <td>SARP Industries</td>\n", "      <td>RMB</td>\n", "      <td>Soci\u00e9t\u00e9 Nouvelle JCG Environnement</td>\n", "      <td>Soci\u00e9t\u00e9 Nouvelle JCG Environnement</td>\n", "      <td>Hydro Extrusion Puget</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Numero_SIRET</th>\n", "      <td>30377298200029</td>\n", "      <td>39776516500022</td>\n", "      <td>80845353400014</td>\n", "      <td>80845353400014</td>\n", "      <td>31275797400018</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Adresse</th>\n", "      <td>451 Route du Hazay</td>\n", "      <td>14 rue des prairies\\n BP 10236</td>\n", "      <td>NaN</td>\n", "      <td>NaN</td>\n", "      <td>Zi Camp dessert Nord</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Code_Postal</th>\n", "      <td>78520</td>\n", "      <td>29400</td>\n", "      <td>13500</td>\n", "      <td>13500</td>\n", "      <td>83488</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Commune</th>\n", "      <td>LIMAY</td>\n", "      <td>PLOUGOURVEST</td>\n", "      <td>MARTIGUES</td>\n", "      <td>MARTIGUES</td>\n", "      <td>PUGET-SUR-ARGENS</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Departement</th>\n", "      <td>YVELINES</td>\n", "      <td>FINISTERE</td>\n", "      <td>BOUCHES-DU-RHONE</td>\n", "      <td>BOUCHES-DU-RHONE</td>\n", "      <td>VAR</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Region</th>\n", "      <td>ILE-DE-FRANCE</td>\n", "      <td>BRETAGNE</td>\n", "      <td>PROVENCE-ALPES-COTE-D'AZUR</td>\n", "      <td>PROVENCE-ALPES-COTE-D'AZUR</td>\n", "      <td>PROVENCE-ALPES-COTE-D'AZUR</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Coordonnees_X</th>\n", "      <td>555829.0</td>\n", "      <td>126274.0</td>\n", "      <td>819944.0</td>\n", "      <td>819944.0</td>\n", "      <td>952243.0</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Coordonnees_Y</th>\n", "      <td>2444400.0</td>\n", "      <td>2414348.0</td>\n", "      <td>1825343.0</td>\n", "      <td>1825343.0</td>\n", "      <td>1837875.0</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Code_APE</th>\n", "      <td>3822Z</td>\n", "      <td>3832Z</td>\n", "      <td>3822Z</td>\n", "      <td>3822Z</td>\n", "      <td>2442Z</td>\n", "    </tr>\n", "    <tr>\n", "      <th>Libelle_APE</th>\n", "      <td>Traitement et \u00e9limination des d\u00e9chets dangereux</td>\n", "      <td>R\u00e9cup\u00e9ration de d\u00e9chets tri\u00e9s</td>\n", "      <td>Traitement et \u00e9limination des d\u00e9chets dangereux</td>\n", "      <td>Traitement et \u00e9limination des d\u00e9chets dangereux</td>\n", "      <td>M\u00e9tallurgie de l'aluminium</td>\n", "    </tr>\n", "    <tr>\n", "      <th>code_eprtr</th>\n", "      <td>5.(a)</td>\n", "      <td>5.(c)</td>\n", "      <td>NaN</td>\n", "      <td>NaN</td>\n", "      <td>2.(f)</td>\n", "    </tr>\n", "    <tr>\n", "      <th>libelle_eprtr</th>\n", "      <td>Installations pour la valorisation ou l'\u00e9limin...</td>\n", "      <td>Installations destin\u00e9es \u00e0 l'\u00e9limination des d\u00e9...</td>\n", "      <td>NaN</td>\n", "      <td>NaN</td>\n", "      <td>Installations de traitement de surface de m\u00e9ta...</td>\n", "    </tr>\n", "    <tr>\n", "      <th>LLX</th>\n", "      <td>1.73272</td>\n", "      <td>-4.085768</td>\n", "      <td>5.047053</td>\n", "      <td>5.047053</td>\n", "      <td>6.683578</td>\n", "    </tr>\n", "    <tr>\n", "      <th>LLY</th>\n", "      <td>48.995285</td>\n", "      <td>48.552602</td>\n", "      <td>43.395281</td>\n", "      <td>43.395281</td>\n", "      <td>43.45444</td>\n", "    </tr>\n", "  </tbody>\n", "</table>\n", "</div>"], "text/plain": ["                                                                                       42643  \\\n", "Identifiant                                                                         65.03322   \n", "Nom_Etablissement_x                                                          SARP Industries   \n", "Dechet                                                      Production de d\u00c3\u00a9chets dangereux   \n", "Annee                                                                                   2017   \n", "Code_Operation_Eliminatio_Valorisation                                                   D5    \n", "Libelle_Operation_Eliminatio_Valorisation  D5 Mise en d\u00e9charge sp\u00e9cialement am\u00e9nag\u00e9e (par...   \n", "Code_Departement                                                                          78   \n", "Pays                                                                                     NaN   \n", "Code_Dechet                                                                        19 03 04*   \n", "Libelle_Dechet                             D\u00e9chets catalogu\u00e9s comme dangereux, partiellem...   \n", "Quantite                                                                            122000.0   \n", "Unite                                                                                   t/an   \n", "Nom_Etablissement_y                                                          SARP Industries   \n", "Numero_SIRET                                                                  30377298200029   \n", "Adresse                                                                   451 Route du Hazay   \n", "Code_Postal                                                                            78520   \n", "Commune                                                                                LIMAY   \n", "Departement                                                                         YVELINES   \n", "Region                                                                         ILE-DE-FRANCE   \n", "Coordonnees_X                                                                       555829.0   \n", "Coordonnees_Y                                                                      2444400.0   \n", "Code_APE                                                                               3822Z   \n", "Libelle_APE                                  Traitement et \u00e9limination des d\u00e9chets dangereux   \n", "code_eprtr                                                                             5.(a)   \n", "libelle_eprtr                              Installations pour la valorisation ou l'\u00e9limin...   \n", "LLX                                                                                  1.73272   \n", "LLY                                                                                48.995285   \n", "\n", "                                                                                       11262  \\\n", "Identifiant                                                                         55.01076   \n", "Nom_Etablissement_x                                                                      RMB   \n", "Dechet                                                      Production de d\u00c3\u00a9chets dangereux   \n", "Annee                                                                                   2017   \n", "Code_Operation_Eliminatio_Valorisation                                                   R4    \n", "Libelle_Operation_Eliminatio_Valorisation  R4 Recyclage ou r\u00e9cup\u00e9ration des m\u00e9taux et des...   \n", "Code_Departement                                                                          45   \n", "Pays                                                                                     NaN   \n", "Code_Dechet                                                                        16 06 01*   \n", "Libelle_Dechet                                                        Accumulateurs au plomb   \n", "Quantite                                                                            284000.0   \n", "Unite                                                                                   t/an   \n", "Nom_Etablissement_y                                                                      RMB   \n", "Numero_SIRET                                                                  39776516500022   \n", "Adresse                                                       14 rue des prairies\\n BP 10236   \n", "Code_Postal                                                                            29400   \n", "Commune                                                                         PLOUGOURVEST   \n", "Departement                                                                        FINISTERE   \n", "Region                                                                              BRETAGNE   \n", "Coordonnees_X                                                                       126274.0   \n", "Coordonnees_Y                                                                      2414348.0   \n", "Code_APE                                                                               3832Z   \n", "Libelle_APE                                                    R\u00e9cup\u00e9ration de d\u00e9chets tri\u00e9s   \n", "code_eprtr                                                                             5.(c)   \n", "libelle_eprtr                              Installations destin\u00e9es \u00e0 l'\u00e9limination des d\u00e9...   \n", "LLX                                                                                -4.085768   \n", "LLY                                                                                48.552602   \n", "\n", "                                                                                       40946  \\\n", "Identifiant                                                                         64.10462   \n", "Nom_Etablissement_x                                       Soci\u00e9t\u00e9 Nouvelle JCG Environnement   \n", "Dechet                                                      Production de d\u00c3\u00a9chets dangereux   \n", "Annee                                                                                   2017   \n", "Code_Operation_Eliminatio_Valorisation                                                   D1    \n", "Libelle_Operation_Eliminatio_Valorisation  D1 D\u00e9p\u00f4t sur ou dans le sol (par exemple, mise...   \n", "Code_Departement                                                                          13   \n", "Pays                                                                                     NaN   \n", "Code_Dechet                                                                        18 01 03*   \n", "Libelle_Dechet                             D\u00e9chets dont la collecte et l'\u00e9limination font...   \n", "Quantite                                                                            316000.0   \n", "Unite                                                                                   t/an   \n", "Nom_Etablissement_y                                       Soci\u00e9t\u00e9 Nouvelle JCG Environnement   \n", "Numero_SIRET                                                                  80845353400014   \n", "Adresse                                                                                  NaN   \n", "Code_Postal                                                                            13500   \n", "Commune                                                                            MARTIGUES   \n", "Departement                                                                 BOUCHES-DU-RHONE   \n", "Region                                                            PROVENCE-ALPES-COTE-D'AZUR   \n", "Coordonnees_X                                                                       819944.0   \n", "Coordonnees_Y                                                                      1825343.0   \n", "Code_APE                                                                               3822Z   \n", "Libelle_APE                                  Traitement et \u00e9limination des d\u00e9chets dangereux   \n", "code_eprtr                                                                               NaN   \n", "libelle_eprtr                                                                            NaN   \n", "LLX                                                                                 5.047053   \n", "LLY                                                                                43.395281   \n", "\n", "                                                                                       40945  \\\n", "Identifiant                                                                         64.10462   \n", "Nom_Etablissement_x                                       Soci\u00e9t\u00e9 Nouvelle JCG Environnement   \n", "Dechet                                                      Production de d\u00c3\u00a9chets dangereux   \n", "Annee                                                                                   2017   \n", "Code_Operation_Eliminatio_Valorisation                                                   D1    \n", "Libelle_Operation_Eliminatio_Valorisation  D1 D\u00e9p\u00f4t sur ou dans le sol (par exemple, mise...   \n", "Code_Departement                                                                          04   \n", "Pays                                                                                     NaN   \n", "Code_Dechet                                                                        18 01 03*   \n", "Libelle_Dechet                             D\u00e9chets dont la collecte et l'\u00e9limination font...   \n", "Quantite                                                                            341000.0   \n", "Unite                                                                                   t/an   \n", "Nom_Etablissement_y                                       Soci\u00e9t\u00e9 Nouvelle JCG Environnement   \n", "Numero_SIRET                                                                  80845353400014   \n", "Adresse                                                                                  NaN   \n", "Code_Postal                                                                            13500   \n", "Commune                                                                            MARTIGUES   \n", "Departement                                                                 BOUCHES-DU-RHONE   \n", "Region                                                            PROVENCE-ALPES-COTE-D'AZUR   \n", "Coordonnees_X                                                                       819944.0   \n", "Coordonnees_Y                                                                      1825343.0   \n", "Code_APE                                                                               3822Z   \n", "Libelle_APE                                  Traitement et \u00e9limination des d\u00e9chets dangereux   \n", "code_eprtr                                                                               NaN   \n", "libelle_eprtr                                                                            NaN   \n", "LLX                                                                                 5.047053   \n", "LLY                                                                                43.395281   \n", "\n", "                                                                                       38335  \n", "Identifiant                                                                         64.00243  \n", "Nom_Etablissement_x                                                    Hydro Extrusion Puget  \n", "Dechet                                                      Production de d\u00c3\u00a9chets dangereux  \n", "Annee                                                                                   2017  \n", "Code_Operation_Eliminatio_Valorisation                                                   R4   \n", "Libelle_Operation_Eliminatio_Valorisation  R4 Recyclage ou r\u00e9cup\u00e9ration des m\u00e9taux et des...  \n", "Code_Departement                                                                          34  \n", "Pays                                                                                     NaN  \n", "Code_Dechet                                                                        10 03 09*  \n", "Libelle_Dechet                                       Crasses noires de production secondaire  \n", "Quantite                                                                           1400000.0  \n", "Unite                                                                                   t/an  \n", "Nom_Etablissement_y                                                    Hydro Extrusion Puget  \n", "Numero_SIRET                                                                  31275797400018  \n", "Adresse                                                                 Zi Camp dessert Nord  \n", "Code_Postal                                                                            83488  \n", "Commune                                                                     PUGET-SUR-ARGENS  \n", "Departement                                                                              VAR  \n", "Region                                                            PROVENCE-ALPES-COTE-D'AZUR  \n", "Coordonnees_X                                                                       952243.0  \n", "Coordonnees_Y                                                                      1837875.0  \n", "Code_APE                                                                               2442Z  \n", "Libelle_APE                                                       M\u00e9tallurgie de l'aluminium  \n", "code_eprtr                                                                             2.(f)  \n", "libelle_eprtr                              Installations de traitement de surface de m\u00e9ta...  \n", "LLX                                                                                 6.683578  \n", "LLY                                                                                 43.45444  "]}, "metadata": {}, "output_type": "display_data"}, {"data": {"application/vnd.jupyter.widget-view+json": {"model_id": "58a67e10c56047cba57c4fe560be5e6a", "version_major": 2, "version_minor": 2}, "text/plain": ["interactive(children=(Dropdown(description='annee', index=1, options=(2016, 2017), value=2017), Dropdown(descr\u2026"]}, "metadata": {}, "output_type": "display_data"}], "source": ["@interact(annee=[2016, 2017], column=list(sorted(p16.columns)), x=(0, 100000, 100))\n", "def show_rows(annee=2017, column='Quantite', x=100000):\n", "    if annee == 2017:\n", "        return ets17_2[ets17_2[column] >= x].sort_values(column).T\n", "    else:\n", "        return ets16_2[ets16_2[column] >= x].sort_values(column).T"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## Cartes\n", "\n", "On regarde les projets sur la m\u00e9tropole en 2017."]}, {"cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [{"data": {"text/plain": ["((73384, 27), (73863, 27))"]}, "execution_count": 20, "metadata": {}, "output_type": "execute_result"}], "source": ["lim_metropole = [-5, 10, 41, 52]\n", "\n", "ets17_2_metro = ets17_2[((ets17_2.LLX >= lim_metropole[0]) & (ets17_2.LLX <= lim_metropole[1]) &\n", "                         (ets17_2.LLY >= lim_metropole[2]) & (ets17_2.LLY <= lim_metropole[3]))]\n", "ets17_2_metro.shape, ets17_2.shape"]}, {"cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [{"data": {"image/png": 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7d/LWW2+RlZXF7Nmzq/SfO3cuer2ep59+GpVKhZubGydOnKBDhw74+/vbfoNLlixhyJAhLF++nKFDh17vqQCge/fuTJgwgU8++YQhQ4bQvHlzsrKyePHFF+nZsyfPPvvsDY0nIoIgInKDTJkyRQCEBx54oEr7hAkTBEA4cuSIrQ0QpFKpcOLEiSp9hwwZIiiVSiEpKcnWlpmZKTg6OgqdO3e2tb388ssCIOzZs8fWlpubKzg7OwuAkJKSUmWuKVOmVJM3ODhYGD16tO39e++9JwDCihUrqvW1Wq2CIAjCvn37BECYO3dutT6jR48WgoODbe9XrlwpAMKHH35Ypd+IESMEiUQiJCYmVpFRqVRWaTty5IgACF999VW1uS5l9uzZAiAsWbLE1lZeXi6Eh4cLgBAbG2vbh4iICKFPnz62/REEQaioqBBCQ0OFXr16XXWe2NhYARD8/f2F0tJSW/uSJUsEQJgzZ46trUuXLgIgfP/99zXK+r///c/WZjQahXbt2gkODg62cS8cu88++8zWz2w2C506dap2/Lt06SJ06dKlmryXnw9BqP5dmDFjRrXviyAIwqxZswRAyMvLu+oxuZzDhw8LgDBhwoQq7Y888ki1uSsqKqptv2vXLgEQ5s+fb2ubO3euAAg9e/asct5eeeUVQSaTCcXFxYIgCEJ2drYgl8uFIUOGVBlz6tSpAlDlu/7BBx8IGo1GOH36dJW+kyZNEmQymZCeni4IgiCkpKQIgODk5CTk5uZW6dujRw8hKipK0Ov1tjar1Sq0b99eiIiIsLVduC5czoX9uvTYX/jeNm7cWNDr9cKAAQMEJycnIS0trdr2IiLXQlxaErlpnn/++SrvX3zxRQDWrFlTpb1Lly40atTI9t5isbBhwwaGDBlCvXr1bO2+vr488sgj7Nixg9LSUttYbdu2rWJB8PT05NFHH71puZcvX05MTEyNT5I1mcavxZo1a5DJZLz00ktV2l999VUEQWDt2rVV2nv27ElYWJjtfXR0NE5OTiQnJ19zHl9fX0aMGGFrU6vVPP3001X6HT58mDNnzvDII49QUFBAfn4++fn5lJeX06NHD7Zt23ZdzspPPPEEjo6OtvcjRozA19e32vlVqVSMHTu2mqw+Pj48/PDDtjaFQsFLL72EVqtl69attn5yuZznnnvO1k8mk9m+S7XNBcffv/7664YcuC8cg8vP+csvv1yt76XWK5PJREFBAeHh4bi4uHDw4MFq/Z9++ukq38NOnTphsVhIS0sDYNOmTZjNZiZMmFBlu5qO2dKlS+nUqROurq6270F+fj49e/bEYrGwbdu2Kv2HDx+Op6en7X1hYSGbN29m1KhRlJWV2bYvKCigT58+nDlzhnPnzl3pMF0RtVrNvHnzOHnyJJ07d+aff/5h1qxZBAUF3fBYIiLi0pLITRMREVHlfVhYGFKptNraf2hoaJX3eXl5VFRUEBkZWW3Mhg0bYrVaOXv2LI0bNyYtLc22zHQpNW17vSQlJTF8+PCb3v5y0tLS8PPzq3LTh8p9ufD5pdR0sXZ1daWoqOia84SHh1dTti4/FmfOnAG46vJMSUkJrq6uV53v8vMrkUgIDw+vdn79/f1RKpXVZI2IiEAqrfqsdPkxSUtLw9fXFwcHh6vuU23x4IMP8vPPPzN+/HgmTZpEjx49GDZsGCNGjKgm+6WkpaUhlUqrKKRQs9w6nY5PPvmEuXPncu7cuSp+UyUlJdX6X/79uHCeLnw/Lhy78PDwKv3c3NyqndMzZ85w9OjRKsrJpeTm5lZ5f/lvNTExEUEQmDx5MpMnT77iGP7+/jV+djU6dOjAc889xzfffEOfPn0YN27cDY8hIgKiIiNyG7mSNeNW/FluBxaLpU7nvxyZTFZju3CZY/DNcsGyMGPGjGqh4xe4XHG4Fe7U+ZVIJDUeo1s5v/b29mzbto3Y2Fj++ecf1q1bx+LFi+nevTsbNmy44rm6EV588UXmzp3Lyy+/TLt27XB2dkYikfDQQw/VaAW6nd8Pq9VKr169eOONN2r8vH79+lXeX34uL8j32muv0adPnxrHuKBQXen3f6XzYzAYbEkck5KSqKioqOYvJCJyPYiKjMhNc+bMmSpPcImJiVit1mtmvfX09EStVnPq1KlqnyUkJCCVSgkMDAQgODjYZmG4lJq2dXV1rRbtYjQaycrKqtIWFhbG8ePHryrjjSwxBQcH8++//1JWVlbFKpOQkGD7/HYQHBzM8ePHEQShinyXH4sLVgInJyd69ux50/NdftwFQSAxMZHo6OjrkvXo0aNYrdYqlo3Lj0lwcDCbNm1Cq9VWUa6udH5rWn673OJVE1c7n1KplB49etCjRw9mzpzJxx9/zDvvvENsbOwVj19wcDBWq5WkpKQqVpia5F62bBmjR4/miy++sLXp9fqbTs534dglJiZW+f0VFBRUs+qFhYWh1Wpv+ntwYelXoVBcc4wL1qDi4uIquXqudH6mTJnCyZMn+fzzz3nzzTeZNGkSX3755U3JKfLfRvSREblpvvnmmyrvv/rqKwD69et31e1kMhm9e/fmr7/+qrJMkZOTw++//07Hjh1xcnICoH///uzevZu9e/fa+uXl5bFw4cJq44aFhVVb8//xxx+rPREOHz6cI0eO8Oeff1Yb48JTr0ajAbium03//v2xWCx8/fXXVdpnzZqFRCK55vG4Xvr3709mZibLli2ztVVUVPDjjz9W6deiRQvCwsL4/PPP0Wq11ca5PJT3SsyfP5+ysjLb+2XLlpGVlXVd+9O/f3+ys7OrRNqYzWa++uorHBwc6NKli62f2WyuEnJrsVhs36VLCQsLIyEhoYr8R44cua4Ioyudz8LCwmp9L1ixrhTWDhe/45ffeC+PAoLK7/vl1pSvvvrqpi1JPXr0QC6XVwtTvvz7B5WRhbt27WL9+vXVPisuLsZsNl91Li8vL7p27coPP/xQ7YEAqn6XLijQl/4Gy8vLawy537NnD59//jkvv/wyr776Kq+//jpff/21zXdKRORGEC0yIjdNSkoKDzzwAH379mXXrl22UNSYmJhrbvvhhx/a8ndMmDABuVzODz/8gMFg4LPPPrP1e+ONN1iwYAF9+/Zl4sSJtvDrC0/8lzJ+/HieffZZhg8fTq9evThy5Ajr16+3hdte4PXXX2fZsmWMHDmScePG0aJFCwoLC1m1ahXff/89MTExhIWF4eLiwvfff4+joyMajYY2bdpU8yEAGDRoEN26deOdd94hNTWVmJgYNmzYwF9//cXLL79czY/iZnnqqaf4+uuveeKJJzhw4AC+vr4sWLCgmjleKpXy888/069fPxo3bszYsWPx9/fn3LlzxMbG4uTkxN9//33N+dzc3OjYsSNjx44lJyeH2bNnEx4ezlNPPXXNbZ9++ml++OEHxowZw4EDBwgJCWHZsmXExcUxe/Zsm+Vq0KBBdOjQgUmTJpGamkqjRo1YsWJFjb4j48aNY+bMmfTp04cnn3yS3Nxcvv/+exo3bmxzDr8SLVq0AOCdd97hoYceQqFQMGjQIKZNm8a2bdsYMGAAwcHB5Obm8u233xIQEEDHjh2vOF7Tpk15+OGH+fbbbykpKaF9+/Zs2rSJxMTEan0HDhzIggULcHZ2plGjRuzatYt///33qqH2V8Pb25uJEyfyxRdf2H5/R44cYe3atXh4eFSxPr3++uusWrWKgQMHMmbMGFq0aEF5eTnHjh1j2bJlpKamVvt9XM4333xDx44diYqK4qmnnqJevXrk5OSwa9cuMjIyOHLkCAC9e/cmKCiIJ598ktdffx2ZTMavv/6Kp6cn6enptvH0ej2jR48mIiKCjz76CID333+fv//+m7Fjx3Ls2DGb4ikicl3UVbiUyL3LhTDL+Ph4YcSIEYKjo6Pg6uoqvPDCC4JOp6vSFxCef/75Gsc5ePCg0KdPH8HBwUFQq9VCt27dhJ07d1brd/ToUaFLly6CnZ2d4O/vL3zwwQfCL7/8Ui2k02KxCG+++abg4eEhqNVqoU+fPkJiYmK18GtBEISCggLhhRdeEPz9/QWlUikEBAQIo0ePFvLz8219/vrrL6FRo0aCXC6vEgpcU7hvWVmZ8Morrwh+fn6CQqEQIiIihBkzZlQJo73a8ahJxppIS0sTHnjgAUGtVgseHh7CxIkThXXr1lUJv77AoUOHhGHDhgnu7u6CSqUSgoODhVGjRgmbNm266hwXwq8XLVokvPXWW4KXl5dgb28vDBgwoFp4bJcuXYTGjRvXOE5OTo4wduxYwcPDQ1AqlUJUVFSN4ewFBQXC448/Ljg5OQnOzs7C448/Lhw6dKjG8Pf//e9/Qr169QSlUik0bdpUWL9+/XWFXwtCZSiyv7+/IJVKbd+dTZs2CYMHDxb8/PwEpVIp+Pn5CQ8//HC1cOWa0Ol0wksvvSS4u7sLGo1GGDRokHD27NlqcxcVFdmOg4ODg9CnTx8hISGh2jm/EKa8b9++KvNcOB+Xnl+z2SxMnjxZ8PHxEezt7YXu3bsLJ0+eFNzd3YVnn322yvZlZWXCW2+9JYSHhwtKpVLw8PAQ2rdvL3z++eeC0WgUBOFi+PWMGTNq3NekpCThiSeeEHx8fASFQiH4+/sLAwcOFJYtW1al34EDB4Q2bdoISqVSCAoKEmbOnFkt/PpCOPmlKRUEQRD2798vyOVy4bnnnrvmsRcRuRSJINwmD0OR/wxTp07l/fffJy8v75pPcyL3Hlu2bKFbt24sXbq0Sqi3yN1NcXExrq6ufPjhh7zzzjt1LY6IyB1D9JERERERucfQ6XTV2i7459RUxkFE5H5G9JERERERucdYvHgx8+bNo3///jg4OLBjxw4WLVpE79696dChQ12LJyJyRxEVGREREZF7jOjoaORyOZ999hmlpaU2B+APP/ywrkUTEbnjiD4yIiIiIiIiIvcsoo+MiIiIiIiIyD3LdS8t6fV6jEZjbcoiIiIiIiIiImJDqVRiZ2d31T7Xpcjo9XoCAgIoKCi4LYKJiIiIiIiIiFwLHx8fUlJSrqrMXJciYzQaKSgo4OzZs7bU8SIiIneOP/74g2eeeQZXd2+Ki/IQrFZkMjlNWnWjbY8RRES3RXobChyK3Bj7t/zN71+/xaR3ptB3+JOcyaygTG/G0V5OfT81EX4aNHa3L6bCahUoKDOSVWggu8hATrEBo0VALpHg5aLESS3HXiVDfeGllKGQSyjVmSksNVGoNVGkNVFSbsLDWUluSVUruwRQyCTIZVLkMglymQSFXIpCKkF2/n+5DORSCXqjFa3eglZvpkJv4UL5S0c7Od2j3fFwVlaTvzZJSEigTZs2zJkzhzFjxtzRuUVqh9LSUgIDAzEajVdVZK7L2be0tBRnZ2dKSkpERUZEpA44cOAA7du3p1HLbox46j2STx4gsmkHnFzEhIR1RerpI3z+6jAef/wxfv31V1t17sxCAwkZWpKzdVitAoGedvi4qnDVKHDWKHDWyJFJr16U1GSxUlphprTcTEmFmZIKEyXlZvJLjRjNAnKZBB8XFX7uKnzd7PByVl5zzEuxWATK9GYEgUplRSZBIZMild5YwdQLWAWBCr2FkgozuxKKKNKa6NDQlYaBDjc13o1QWlqKXC5HrVbz999/079//9tStVyk7rle3UNUZERE7hFWr17NsGHD6PvQS/R/+KW6Fuc/jdVq5fNXh+CgggP796FQKKr1MZisJGWVcyazgoKySgUEQCIBJ3s5KoUUAUAAAQFBAAHQG61UGC4WlFTIJDhr5DirFbg7KfBzs8PzBhWXG0GrN6MzWNEbLeiMVvQmCwjg4qDARaPAwV6G9CrKidkiEBdfyMmMciL81HRu7IZCXhlXcnk19JuhvLyczMxMIiIiKCwsxNvbm/nz5/Pwww/f0rgidx/Xq3uIeWRERO4RBg4cSEzTphTmnqtrUf7z7P53GSmnjrBt27YalRgAlUJKoyBHGgU5IggCOqOVYq2J4nITReVmTGYrEokECYCkcllHIgGlXIqzWl5pvVHLsVNKa92qYRUEUnN0HE0tI7uoatVvuUyCIIDFWqmIyaQSXDRyXDQK7FVSZFIJ8vNLT3qjlZxiA/mllUtWZzIrSMvV4Wgv59TBzXz67gT2HjhCg/BgZsyYQWFhIdOnT68mz5kzZ8jLy6N9+/ZUVFQQGxtL9+7dsbe3Z8KECRw/fpwDBw7g5ubGb7/9RufOnWv1+Ijc3YiKjIjIPYDVamXlypWkpqRS37VeXYvznyY/O51jezbyzd9JpJiUZG7PwtFeRpCnPUGe9jipq19WJRKJzW/Fz/3qERg3g9liRWe0IpVQ6d8ilVx1mchkPr90VWGmUGsiIUNLmc6Cr6uKnjHuOGsU2Cml2CmlKGRSBEFAq7dQrDVRVG6iWGs+r5CZMFsELFYBi0VAIZfg5aIizFeNnULG9I+mYLFYePLFyRibtKPXiAn8vb+QfWcVpOQasZPIEASBiooKhg0bxieffEKzZs0YPHgw/fr1o3379qSkpDBw4EA2bdpE9+7dmTRpUpV9eeSRR2778RS5txAVGRGROsJsNrN+/Xq2bt1KcHAwDRo0IDIyEn9/fyQSCRaLhVOnTrFz505mzZ5D/InjNGjanu6Dx9W16P9ZrBYL373/JG6uzjQPtUehUqM3WinUGtl5sogd8UW4auQEedkT7GmPt6uqVpaALFaB3GID5woMnCvQk1NsQK2Uob1kSUoCNodd+XkHXpkUyvWVS0YXUMgkhHjb07uZE55XcNCVSCQ42stxtJcT6Gl/VdlOnDhBsEcwDg4amoT7YbFY6NzEDXBjRKePyC4ykFVkQDX4SYq0JpZsz8JFWojVasXNzQ2JRMKKFSsICQkBICIigtTUVAIDAwFo2LDhLR07kfsP0UdGROQOk5iYyK+//srceb+RnZWJq4cPZcUFmM0mANQaDSEhIaSlplFergWgccsu9HvoJcIataxL0f/zmE1GZr45koykE8yYMYOXXnrJZvUwmqxkFOhJz9ORlqtDZ7SilEsI9LAnyMuOIA977FU354RqFQTyS4yVikuhnuwiA2aLgFIuwd/dDn93O5zs5QhU+qiYrdbKvxde1sq/FouAvUqKs1qBk1peGeV0m5euBg8eTFhYGDNnzrxqP0EQyCo0cDytjJRcHQqZhEh/B2JCHXGwF5+xRe4iZ9+SkhJOnz7N6dOn0el0ODg42F6Ojo4EBwfj4SFGXlyOVqvFzs4Oufzu+0HrDBb+PZJPQakJZ42cbtHuuGhq9hMQqaSiooJly5bxyy+/sm3bVtQOTrTsMpj2vR8kKLwJVquFguyz5GQkk52RSH52Ou5egQTXjyYovAn2GvEB4k4hCAJFeZmcS0nAaNSjsrNHaadGpVKjtLNHZa9h058/s3nlLwwYMJB58+ZWu4YJgkBeqZH0XD1peTryzoc5ezkrCfaqXIJydVAgl9WsQAiCQJHWZLO4ZBbqbdFKvm4q/N0qlRd3J8VVHW/rgq1btyKXy2+oeKVWZ+ZEupaTZ7WYrQJNQ52IqeeIQiYmn/8vU+eKzO7du/n008/466+VXG0KO3t7Zn7xBc8++2ytO7TdC+zZs4chQ4aQnZ3N999/zzPPPFPXItnQGy2k5enYf6YEs0WgUZADiZkVCMCwdt7YKcWQx5r43//+x4QJz1NWVop/aAN6j3iWpu37oVTdfl8JkZvHYjbx40fPkBS/n/Kykiv2s7PXEBIZQ3Sb3qz9Yw4OansWLfqdLl26XHGbCoOF9Dwd6Xk6MvL1tggmtUpWaRmxl+GolmOnkJFTbCCzUE+FodLnxdtVRcB5q0ttRivdbk6fPk1oaOgVnaFrwmiycjCphKOpZahVMto2cCHMRy3eG/6j1IkiY7VaWbt2LdOnf8qOHdvxCahH1wfGEhLZDG//UJR2aowGHQZdOQZdOXqdlrj1f7Dtn//RvXsPnn9+Av369cPe/uprsPcbgiCwYsUKpn/6Kfv37bO1FxQU4ObmdlPjCQJIbySvhFWgWGuioMxEQZmRknIzpvNOfGZLpZm6pKIy74Sfm4pu0e442ssprTCzfGc2EX5qOja6cVn/C6xZs4bJ703h0MEDCIJAQGgkDZp1plmHftRr2KKuxRM5T3lZMa89GINUKmXRokXIZDLS0tLw9PSkTZs2lJeXU15ezqFDh/j6m285c/oUzToMoLggi9RTh3j33XeZPHnyNa2oF/xbSsrNlOrMlOkqnW7LdBZ0RgseTsrzy0UqfFxV96RVoqKigrCwMJ588smbqshdUm5iV0Ixqbk6fFxVdGjoekX/HZH7lzumyBgMBmJjY1m5ciUr/1pFTnYW9Ro0o9eIZ4lu2/u6cgYc37eZvxd8QXricSQSCT6+fgQHBxEaEkJwcDDBwcGEhITQtWvXa9ZcuNfYu3cvE19+hd27dtrannvuOb788subXlZKz9Ox/UQh0SFONAjQ2HI4XEBntFBQWqmwFJSZKCg1UqQ1cT66Ekd7GS4axfksnpWhlXJZZchlsJcajV1Vy8v6g3mU6y0MbectPjldhby8PP799182bNjA2nXryc3J5pVPlxDRpHVdiyZynr8XfMGaRV/akttdoF37Dnz4wTS6d+8OgMlk4qeffuK996agMxhp2r4fu/9dSqdOnVm/fh0qleqm5hcE4b75DcXGxtKsWTNcXFxueoyMfD1xJysT7DUI0NC6vgvqm/QzErn3qBVFplnz5owdM4b+/fuzb98+/ly5kjX/rEGrLcPLL5io1j1p3mkAoQ2a39SPMTsjicTjeynMPUdh7jnyMlNITjhk+3zGjBm89tprNzzu3Uh6ejqTJr3FokW/4+kTRFFBDoLVzJdffsmECRNuaezCMhMHk0pIyq5AIasM+zSfD4+0WAWbWVsuleDqqMDdUYGHkxJ3RwVujkpUiht7AkzL1bH2QB4NAzXEhDqJ/jLXgcVioVPnLqSkZzLlxy11LY7IJRzcsQZ9RRn+oY3wDYrg9NGd/LNwFqmnj9K5cxemTp2Ci4sLx48fZ/v27fz000+ERsYwZOxbfPnuY0x7/33efvvtut6Nu4aioiIGDx7Mp59+Srt27W54e6tVIP6sln1nSrBaBdpEutAk2LEWJBW526gVRaZJy26cPLQdi8UMQEhEFFFtehHTrg9+IZG39UmiMPccX737GNkZyXTq1Jmnn36KkSNH3vSTzt1CWVkZn3zyCTNnzcJe7UTbXqM4ums92uJcli1bSq9evW7fXDozCRlazBYBmVRieznYy3B3VOKskd82R8HDyaUcTinFYLTSoZGreKG5DkaMGMn2nft4/5dtdS2KyDUQBIFjezfxz/9mkp50wtbu7u2Pl28IEdHtqB/djvkzXyM3M4Xly5czbNiwOpT47iElJYWff/6ZXr160bVr15seR2+0sD2+iKSsCp7sFVDN0ixy/1EriszMZcexmM0kHt9DUHgUbl7+t1XoC+RmpvLlO4/gYK9k9d+raNKkCVAZAZWcnExSUhIHDx5k7br1JCcl4evrS7NmzXjqqfF069btrjPNGgwGEhIS2Lp1Kx9++BElpaV0HzIeL78Qlv00DW8vT/5Z/fc9nx/BbBHYc7qYY6lltAx3pmWEc12LdNcSHx9PkyZNeOTFT+jYV0ytfqewWq2cPrqTU0d2kn02EaNBj9mox2R7GTAa9EilUjz9QvHyr4d3QBg+AfXwC2mAs5sXp4/uQiZXsOzH98lIPml7sLuUsWPH8uuvv9bBHt7dGI1GlMqb93U5eVbL1uOFjO0ZcMOWY5F7j1pTZOzVtfukLQgCU8Z3Ji8rHQdHR5ydXVAqlBSXFFNUWGDr5+TiToNmnfALjqSkMJdTh3eQmX6GsPAInnv2GUaPHn3Hw7oFQSAjI4OjR49y7Ngxjh49yuEjRzlz+hRmsxmJREKrroPp//BENq38he1r/seIESP5+eefcHa+f276O08WEZ+uZWyvgKtGWJTrLaTlVlTWczFasQoCXs5KQrzV9+1F6syZMyxYsIC5c+dRYTDz/s/bkCtEJ8Y7QXF+NvNn/h8nD8fh4elF82bNcHDQYG9vb3up1Wrs7e0xGAycPn2akycTSEw8g9FoRCKRENOuN71GPEu9Bs35d8WP/L1gJkaDjrFjx/LCCy8QEBCAm5vbXZk2oa5ZtWoVr7/+Olu3bsXHx+emxiguN7FiZzbujkq6x1QGHIjcv9yzigxUrlHnZ6VjNhuxmE2YTUbs1A54+Abj6ROEh08QGifXKpYXQRBIPL6X7WsXcihuLVIJvPDCC0ybNg2NRlNrsgqCQFxcHF999TXr16+npKQYALXGEb+QSPxCGuAf0hD/0Ab4hUSSmXqKRV+/TX52Gl/OmcNTTz1111mQbpXsIgMrd+cwrL03Xs7VlwLLdGb2nSkhMbMcAbBTSCtDtwWBonIzQZ529G/pdecFv0UMBgMpKSlUVFSg0+nQ6/Xk5ORw+vRpzpw5w/ET8Rw9chi1xpGmHfrTY+h4/ILr17XY/wlMRj3vju2Axahj2bJl9OnT57p/dxaLhbS0NDZt2sSMz7/gzOlT1I9qQ68Rz+IbFMGKnz/iYNxaHB2dGDJkMCNHjqRnz57/uejLa5GWlsbXX3/N9OnTb6k6dVaRgQ0H8zCarUQFO9IywuWK+XhE7m3uaUXmVtGWFLL1nwVsWPotPt7efP/9d/Tr1++2zmE0GlmwYAFffvU1R48cxjsglJZdhhAU3gT/kAa4eflXuVCWFuezcu50dm1cSvMWLZk391eioqJuq0x3CxaLwILYczip5Qxo5VXFuqI3WlixKwezRSAm1JEGAQ5VPo9P17LtRCFhvmq8nJU4qeX4uKhuKSOqzmClXG+m3GChXG/BKgg42MnR2MnQ2FXWv7kZXyFBENiyZQt//vknu3bv5uiRIxiNxmr9XNw88fQLwcM3hEbNuxDdtpeYQ+YOIwgCf3w7mW3/LOCJ0aP57ttvUavVNzyO1Wrlr7/+Yvr0T9m7dw/+IZH0Gv4s/vUacnjneg7t+IfMtNMoFApatmrNQw+O4sUXX7zlh5X7KZoJICkpiaCgoBvKMXMpRrOVIymlHEwspVNjVxoF3f33JZEb5z+tyFwgLyuNP755h/iD2xk16kHmzJl90ybNC1itVpYuXcqkt94mLTWFJq2603XQaBo061RjqLkgCMSt/4OVcz9BIZPy6afTefLJJ2/pieReIK/EyOp9uSjlEur5qAlwt6NMZyH+bBlanYVh7X1qLK4nCJURCifStJRWmDFbBewUUno29SDA4+o3f0EQyCk2ciaznPxSI+V6C+UGC5d+w6USkEokmK0XGyWSysRkDnYyNHby839lNmXH4YKyc36ZrLxCz5PjxrB48eIq88vlSroOHkPLToNQ2tmhUNqhcXQRs/LeRezZvIJFX7+Nv78/701+l0ceeeSmbqaCILBt2zamT5/OunXrcPf2p/vg8XTo+xCFuRmcOrKTY3s3E39gKxMmTOCbb76pNkZ5eTlHjx69ZiTPL7/8wtq1a1m6dOl9ocxotVpCQkJ4++23+b//+79bGmvx9iz83FR0aizmsLofERWZ8wiCwL4tK1n24zSkWJkx4zOefPLJ68pvczmxsbG89vobHDywn+g2PRk85s2rLg3odeX8/tUk9m1ZxdixY/nss8/+U+UYCsuMHEkp42y+jgqDFYmkMkV7+4aueLtcO/rsQsXdrccLOZevp3V9Z5rWc6rxYq43WvhrTy5FWhMaOxn+7nZVFRJV5f92ysrzbjBZKddb0OotlOvNaC/5/0K72XKJsgPYq2SoVVLySwx89OIAMpLjAXjqqacoKytj+444zmWcZcjYSfQZ+dztOYgit52s9DP89dtnHNm1Af+AQMLDwlBr1Kjt7XFzc6N379707dsXBweHGrc3Go0kJCQQHx9PgwYNkEqlfPrZZyz+4w9UdmocXdyxmE0U5mdjtVgIDAwiOTmpmt/Mzz//zDPPPENRURGOjo7ExsbStWtXpNLKatM6nQ61Ws3q1avZtGkTn332GampqaSlpdGzZ88qY+Xn55OamkrLli3Zu3cvJSUltzUC8nazZcsWQkNDCQ4OvqVx1p9fYhrU2vs2SSZyNyEqMpehLS1ixS8fsWvjUjp06Mibb76Bn58fXl5eeHp6XjXR3rFjx3jzzTdZu3YtoZFNGTrubSKi2lx1vqz00/z88QRKCrL45ZefefDBB2/3Lt0zCIJAcbkZjUqG8iaceK2CwP4zJRxMKiXE2562kS7VctVcWJLq39KTQA+722LKN5oFtJcoNuW6yuUpV40chTGPBvXrVVOI33jjDWbOnMXrM1cSHHF/Lh3eL2SknCRu/R+UlxZhNOgxGXSUFGRzLu00KpWKXr16M3ToEIKCgjh69ChHjhzh0OHDJJw8iclkso0TFBzC8GFDadasGUlJSej1emQyGYGBgbRr147GjRvblJjU1FSWL1/Oc889h06nIzs7m4YNG7Jv3z7atm3Lli1b6NKlC6+88gqFhYX89ttvVWQeMGAA9vb2LFu2DLPZjNVqRalU8uCDD5KSksKePXsYMWIEUqmUpUuX3tHjWRccSirlQFIJY3tePbBA5N5EVGSuwOmju1j09dtkZyRXaXd0dMLLywsvby98vL3x8vLCzc2NY8eOs2bNP3j4BPLA6Ddp3rH/NW+Sp4/u4rv3xxEaGsqfK5YTGRlZm7v0nyE1p4LYY4UYTFbcHRV4uagwmqxo9WZyio34ual4oE3dPpkZjUbatWtPYnIqXQaNISKqLZ4+QTi5ed2UFVDk5hEEgbzMVFJPHyY98TjlZcWYDHqMxkqlxWw0YDEb8QqMILxxKyKatMHLP5T87HSO7FrPkV3rSYqvLCuhVNkTEBqJX0hDfIIiqNCWkHsuhfzssyhVKvLOpVBUkIObmzvNmzfD09OTsLAwXn75Zdzd3W0ypaenU69ePTZu3Ei3bt2qyLtv3z5atmyJRCJh1qxZNGnSpJpV5ezZs3h4eGB/3no0adIk3njjDTIzM7FarQQEBJCVlYWnp+ddGzml1Wp54403ePvttwkICLilsU6fK2fz0QIxr8x9iqjIXAWrxUJpUR6lxXmUFRdQVlJAWXE+pcX5lBUXoC3JR1tcgLa0EA+fYJp26EfHvg9fV5jsyYPb+f6Dp+jcqQMrV66s1Yip/yJmi5X0PD3J2RUUl5tQKSqXi4I97Qn3U98VlYAzMzOZOnUq8xcswKDXA6BQqvD0CcTNOxAP3+DKyDtHFwBbKnzBakVXUYZOW0pFeSm68lJ02lJ05SWV/5eXotdVAJV+PQByhYrQBs3p+sDY/3ypg5LCHFJPHSH19GHSzhwl9dQhdOVaAEJC6+Hj441GrbaFWNvb2yOTyThw8BDHjh7BarXi7OpBUHg0Tm5eOLpUKiByhYp6DVtgMuo5vHMdx/b8i7a0iMCgYEpLSigpKSawXkMcnD04eWh7FZnc3d15/fXXefPNN8nKyuLUqVO0atXqtlwXFi9eTOPGjW15ti7HbDbflcrM/v37GTFiBNu3bycwMPCWxtp7uphTGeU83r12cpqJ1C2iIlMHHN8Xy48fPUPPHj1YsWL5fVcXSuTG0Ol0pKamkpSURHJy8vlkjskkJiWRkpJsU3IuxV6txtnZBRcXF1xdXXB1ca386+qKi4uLzW+jsjCoQFlZGXPnzcMjoCHPvz/3Tu9inZOTkcyhuLUc3rmWtDPHAPDy9qFN69bY2anw8vJi2rRp1yy+WlJSwq5du9i+fTuHDx8hJzeH3Nw8cnNzqpyniPqRjBwxnOHDh9OsWTOMRiPr1q1j4cLf2bhxI+ER4XTs0AFvb29Wr17NU089RfPmzYmKiuKPP/7gscce49y5c3h7167l8LfffuPtt9/mxIkTt1TrqLawWq23xUK58VA+OqOlzi2xIrWDqMjcYY7s3sjPn0ygX9++LF265J4vpSBSuwiCgMlkqrJMKZFIbuoJevjw4SSkFfDiB/Nvp4h3JYIgkJl2mkM71nBk11oyUk5hr1YzoP8Ahg0bSqdOnfD3979t0T2CIKDVasnJyQEgLCzsqmNrtVqKiopqtDQYjUZycnJsS0O1SWZmJr/88guTJ08GIDc3Fy+vus3NJAgCX331FaNHj75tCUCXxWXh6ayiSxMxaul+5HoVmbvP7ngPcnDHGn799EUGDx7MokW/31IKbpH/BhKJ5LZ9T0pKSlCq7t/ka4IgkJ54nENxazmycy3ZGck4Ojox6IFBjJw5nT59+lxRMUhLS2Pt2rWMHz++xqihpKQkPvnkEwAWLFhA69atq/i0SSQSHB0dcXS8vge4fv364e7uzsqVK6t9plQqb3kp5Xrx8/OzKTFbtmyhb9++7Nmzh5iYmGpLTmVlZahUKpRKJb/99huJiYlMmzbttod6JyUl8e677xIWFsaAAQNuy5gWi0BabgVpufYEe92/vwGRqyN6R90CgiCw699l/PLpC4wYMYLFi/8QlRiRO86ZxES8/ELqWozbTnF+NmsXf837T3dl+sSB7N24iH69uvDPP/+Ql5fLwv/9jyFDhlzVunHh5nnq1CkANm7cSHl5OQDnzp2zLW+YTCbGjBnD7t27AThx4gQJCQnXlDE3N5dx48aRmpoKwBdffMGXX355K7t922nVqhWzZs0iOjoagP79+/Pcc5XpAZKSknByciIuLg4AOzs7Dh48WCv5asLDw0lJSbltSgzAgNZeeDgpWXsgj5Tsits2rsi9xT23tGQy6iktyq901j3/Krnkf4vZiEQiRSqVIZFKKv9KpEikUqRSKQqlHe7eARfLHfgGo3F0uaEfrsVi5sC2v/l3+Q+cTT7J448/wa+//nJXOtaJ3N8YDAbUajUPv/DxfVF80mI2cWzvJnZuWMyJ/VtQqlSMHDmSJx5/nC5dutxU8rqysjIcHR0xGo2oVCrmzp3LmDFjqvUzGo0IgoBKpWLKlCmsXr2a/fv32z6/cI3YsGEDqampPP3005SXl9OhQwdmzZpVLQrpbmXZsmU4OjrSp08fDAYDK1asoHv37tX8dtavX09ubi6PPfbYLSk2VquV77//nieffLJWltwFQWD1vlyMZoHh7W8t4anI3cU9v7QkCAJH9/zLwe2rKSnIoay4UmEpLyup0k8qleLp5Y2Pjzc+3j6o1S5YLJbzLysWixmrtfJ/s9lCeUk58Xs3UFRUaBtD7eCEp28w7ucjStQaJ2RyBXKFAplcidlksClPZcX5ZKaepCA3kz59+jD/l2/p0qXLfZFxU+TeIzU1FavViqfvrSUWq2uyzyYSt2Ex+zavoKQonxYtW/Ltt9/y0EMP3bI/xYVlIYlEwt69e2nZsmWN/S61pr766qt07doViURCfHw8TZs2Zdu2bbRt25bY2Fj279/P008/jUaj4dChQ/fU73/EiBG2/1UqFQ8/XLMCvHHjRo4fP85jjz2GTqfj1KlTNG7c+IaVybS0NJ5//nl8fX0ZOnToLcleExKJhBAvNbsSiu67Ug4i18ddq8hsXPYDf879hOiYpjRv3BAfn7b4+PhUe7m7u99Uuv/i4uLzUSRJtqiSxMQkEvauQastx2gwYDIZMRgMqFQqPL288fb2IsjHhy6thzF+/HhiYmJqYc9FRK4PQRBsZRI878GlJb2unIPbV7Nrw2IS4w/g6urG6McfY/z48bVSh0yhUNCqVavr6uvk5GSzsHh5eTF79mzq1asHwIcffljlmnO/3jg///xz9Ho9EomE/fv307lzZw4fPkxMTAzr1q3DbDYzcODAa44TEhJCRUUFCoWCzZs307Jly6s+Xd8sVgFW7s4h3FdDk2CH+/a8iFTnrlxaykw7zScvDWDiSy/y+eef1/p8V+PC4RF/FCJ3C2fPnmXp0qUs+uMP9u/bR+8RzzJ03Ft1Jo8gCBTpjGRrdehMFpQyKd4Odnho7Krl9REEgeSTB9i5YTEHt6/GoNfRs2dPxo8fz+DBg8Vov7sUnU7HwYMHad26NQqFggkTJpCYmMiGDRuuewyLxYJSqeS7777j6aefvq3ymS0CiVnlpOboSMvVEeGvoVuUm3jdvse5Z8OvLWYTM14dip3MzOFDB8VcLCIiVDqmLlu2jD/+WMzu3btQKFU0btGVdr1HEd2m57UHqCXMVisncopJL9ZisghIpRIsVitmq4CbWkULP3fc1CpKi/PZs2k5uzcuJTP9DIFBwTw5bixjxoy55Xo7InWDVqutdAE4epRWrVpdMdDh+PHjuLq64u/vT2xsLFFRUbVac+7kWS1bjxcyooMPHk5i8MW9zD3rI7Nh2fdkJMeza9cuUYkR+U+TlZVVqbwsXsLOuB3IFUoaNe/M2NdnE9Wm5x11vLdYrejNFuRSKSp55bKKVRDYl5FPUkEZUgRytDqM1sr+KhnklGqJ3xeLEL+BM4e2I5fLGDJkKON//oYePXqIJRvucRwcHPjnn38YOHAgSUlJtqW3SzEajfTq1YvHHnuMGTNm3BGH6ECPyvtGfqlRVGT+I9xVikxGyknW/D6HN95447rXskVE7idycnJYvnw5ixcvYfv2bUilMho278ToV2cS3aYnaofbk0jserEKAmlFWlKKtOhMZmRSCRqlnBKdkaxSLYV6C1ZBwFJehLkoE3NRJqaiLMxFmRjOncSiLUTj6gUInDlzhqCgoDsqv0jt0qdPHw4ePEhoaKitraysjOnTp/PGG2/g7OzMhg0b7mi9OY2djBAve3bEF2GxCNT314h1mO5z7oqlJavVSm5mCnM/ewkHFRw8sF9cKxf5z7F9+3Z69+6N0WSiYdOONO80kJh2vW01meqCU3klxOcUUaY3UlGST0VBBgXZZzEXZ2IuysJUVPlXMF1M4y9z9ETu6ovSMwTHxt1oExPJq519adc8WrTC3EecOXOGiIgIAF555RXi4uLYu3cvKSkpdOzYkQULFtC9e/c6kc1ssbLlWCFJWRUo5BK6R7sT4q2uE1lEbp67emmpvKyEtNOHSU44ROqpg6SdOoK2rBh7tZoV27aJSozIf46EhAQeeGAwwZHNGT/pGxycaz/lulUQyC7TUWE04+Fgh7NKQUlBDrlZqeRlppJ5NpmTSacozUmnouAcgslwfksJMicPFK5+qPwi0TTqhsLND7mLL3IXH6SKi79ftVKGs4sbLWKiEASB8vJysZDqfcDJkyeJiopi+fLlDB48mGeffdbm6xQaGkpycnKdXsflMik9m3rQJtLM9hOFbD5awIgOSpzUd9UihMht4o5ZZIrzs/n7f1+QeuoQmWlnAHB1daNt27a0a9eWtm3b0rp169tWg0NE5F4hNzeX1m3aYhIUvDpj2R1ZPrIKAqtPphGfV4apOJvyY5vgzFZK8jKByig9b78AZC6+mDVeGDXeyF39kLv6onDxQSK/Pt8Dfxc7nu5cjyfahdC3b1+8vLxYsGBBbe6ayB1AEARWrFjBAw88UCWvzDPPPEP//v0ZPHhwHUpXFYPJyqJtmUT6a2jXwLWuxRG5Ae46i8zaxV9xYs8GHn30Edq2nUzbtm0JDw8Xw+NE/vNMnTqVwqJi3py9+o75wJw6l8Xe2JVoj/2LIf0YEqU9bo07s/jbr2jUsAER4WGkFBn48t8zHM8oIr3YcO1Ba6DCYKZ/lB8SiYSBD40m26BizdEsejTysjkNi9x7FBYWMnz48CptgiCQl5eHTqcD4PDhw8THx/PII4/UhYg2VAoprhoF5XpLncohUnvcEUVGEARO7NvM6NFPMGfOnDsxpYjIXYHFYmHBggVMmfo+hQUFqDUaNGoNGgc1Go0GB42GXbt303ngWNy9A2pdHqNBz5a/5/HX719h1WtRBUXjPuD/UNdvj1Rpx8zTKuqXlDEnREKIuwZ/V3uKyg3klxupMNVsvLVXgM5U83xFOjN5ZXpUCik5zo3J05pYfSwTF42C9mG1F4IrUnusWLGCJ598ksOHD1cJnZdIJKxYscL2/t9//+Wnn35i6NChtV7t+1po7GQUlJmwWitTBIjcX9wRReZcSmVK/+vJAilyd2K1WpkyZQpBQUEMHDgQX1/fuhbprkav17Np0yYmvfU2x48dpUXngbTq1RSjvgKDQVf5V1dBkb6CyKad6TroiVqVx2qxsHPjEtb8Ppuy4ny8W/ZFEjMEhcvF2jQqGWSXGsguNXAwvYgeDb3pH+VLic6EVCrlQFoBBjN4qGVYkPJ6n/o8EOPP8oMZTFkVjwB4OSgoKDdhuUTnOZVViq+zPduX/czZU8fo/sJ0TJZrrmiL3GVYrVakUik9e/a0XQuuxquvvsr48ePrXIkBiApx5M9dOZzOLKdBgENdiyNym7kjikzq6SNIpVI6dux4J6YTqQUEQeDPP1dy4sRxAJq3aMngBwbRu3dvAgIC8PT0/M86aVutVhISEti7dy979+5l9569HDt6BLPZTETjVrwxcyWhDZrVnXwWC/O+eJl9W1bx0EMP8+GHHxASEsKrSw6x9kgOJqBlsDNB7mqWHcxCJgG1sjK6qFmQK872CnacyWdPUgEC8GrfhoxoEYhcVtnnifahBLiqScgppU2oO2qlnI9Xn2B7UmU9s1/iUhnaIpCxDw1n3kIjLYOcaB7kcmv7ZBUo1ZtQyqWolaIDZ20TFxfHhAkT2LhxI15eXrz88svX3EYikdjqUHXt2rXWZbwa3i4q1CoZWp24vHQ/ckeuAJmpp6gXFnZXaOYiN4dMJmPLllj69O3HwQP7ST2bzaeffc6UKVNsfRwdnfDw8MTTy4NGDRvSrl072rZtS+PGjW+qHtbdTHFxMevXr2fNmjWsWbOW/Pw8JBIJfkERBEXEMOKZoYRGNiUwrEmd+oFZrVYWfjWJA9tWs3TpUoYMHcaaw2n0eXcdQa5yFCoZs4dF0Tfaj7NFFWxOyMNkESisuLhWVM/TgXqeDsQEOJKnNdKjoU+1fere0JvuDS9WTx7ZMoCdyYUIAvSPqrT6jOzTkQHd2uLpaMfRo0dp0qTJTYVjn8ou489D5zidU4qdQkbX+p4MiPZDoxIVmtrC3t6e/v373/D5+uGHHygtLa1zRQZAKoUKg6jI3I/ckV9+euJRYqKj78RUIrWIh4cH83+bR7t27dAW5/PudxvRlZdQVlxAWUkB2pICyooLKC3OJzbuAPMXLMBqsaDRONCqVSsGDhzAiBEjbiolvSAIZGdn2wp9pqeno9frMZvNmEwmzGZzlf9NJhMSiYSAgABCQkJsr+Dg4Ju2HGm1WpYvX8683+azfdtWLBYLgfUa0qLbSBo060hw/eg7mm33elj7x1fs2riU+fPn49u0K50/3UxmaaXjbnKhGbkEdiUX0C/GnwAXNU91DiMlrxyrVWBPcgEtQ9yQnfcpiAlyv+55H2gWSPNgd4xmK/W8HCjUGmj+4b8AjIhU8t0LQ5g+fTovvvjiDe3P2cIKZm48xc7TuWhNAhLgeEYJJToz4zuFisEDtUTz5s1p3rw5ZrP5hrZbtGgRxcXFtSPUDdIwwIH9iSU0CnTAw1nM+Hs/UeuKTFL8fpLiD/DRe6/X9lQitYTFYmHNmjV8//0PrFu3FpWdmra9RqJSa/DwCbzizcOo15F25igpCYdIPLGXt95+h9dee42WrVrx4KhRDBw4kICAADQaDRKJBJ1OR0pKCsnJybZXYmISScnJpKamoD8fDQHg5OKGUmWPTK5AKpUhk8uRyuTIpDKk59sEwUrJxlgKcjOxWq22bX18/QgJCaZeaGgVJSckJISgoCCbomO1WsnMzCQ+Pp5FixaxZOlSKsrLadC0PQ8+9wGNW3XDzdOvdg/+LWA2Gdm6eh6Pj3uawSMeZF9KIVmlVaOPFoxvSdt6XgBIpRLGd6rHZ+sS+HTtKVw1Cib1a0iH8JqdcgVBYM3RLHYmFeCiVvBY22B8XS5aXQPcLiYgyyiqsP2/7ZyVVatW0aFDBwAKCgpwd69ZSbJarWSVGjDpDbyx4jgBzgrWn8jHUl6EKf8sqqAo0ot0rDpyjr5NfAh0E5Oe1RYLFy5k5syZbNu27bpyAZnNZuRyOa6ud0fIc9N6TiRnV7Bqbw6dm7gR7ivmM7pfqFVF5uCONSz6+m2iY5oycuTI2pxK5DZjNps5ffo0S5cu5ceffibzXAbBEVE8/MLHOLt588/Cmbz9eGvs1Y6ENmhOWKOW1GvUkpD60SiUlbVOlHb2RES1ISKqDb1HPou+QsuxvZs4uOMf3nl3Mq+/XqncquzscHBwpCA/zza/QqnC0zcId+9AfCJa06TTCDx8gs6/AlHZXf8Ny2I2UZSfRUFORuUrt/Lv/mNJrP93C0X52TZFRyKR4OPrh4NGQ/rZdAz6yoy1Xn7B9Bj6DG16DL8j0UW3iiAIbI79h7LiQjYJUfSaGUvcmz15f1Ak09eeQiaTUs/TkXZh3lW205kspOaXYzBbyC2zUlhurDa2yWzht12pfPhPQpX2zQnZLHyqHW6a6havBj5O1Pey42yhnpXPd8DPtdLhMnZ/Ar06t6bp8BfYN/+jakrx4K+3cyyzsjhh3sqPUXqE4NLpUSy6MnL+eBuf0bNR+YRztrCCAq1BVGRqkaZNm9KjRw+USiXFxcW89dZbvPTSSzRs2JADBw5w4MABW1Xr9evX89JLLzF27FgmTZpUx5JXIpNKeKCNN9uOF/Lv4QLSc3V0bOSGUiFmm77XqZWEeLqKMpZ8P5Xd/y5j6NBh/PjjD7Va7bSusVqtZGRkUFRURElJCSUlJTg4OBAWFoa/v/8d9Q+pqKhg8eLFyGQyXFxcbC9nZ2eUSiWZmZmcPXuWjIwM29/0sxlYLGZUShUqlYrMrExOJSRgNBqxs1fTvNNA6jVsiba0kJMHt3LqyC5atWrNqFEjKSsrIy4ujt2791BerkUuVxDaoCl9H3yRRi26XFFOfYWW1NOHK5eligvQ67S4evrh4ROEp08QTm5edyydvdlkpCg/m4KcsxSeV3J0FVo8vAPx9A3GwzcI74Cweyq9flJBKd9++Bzm4ix8x1SmPPju0Rj6RV1dCRMEgb+PZLLiYAbeTnY83y2CIHc1X28+xZK9Z3myUyhGi8BHa05dcYxAFxUTe0UyvHkAEomEyLf/wWAFf2cFW97oycyNp7Ba4dXekTR57x8KDqxD3aAjK1/pTWlaArGZcLJIoKwgi11rl+HS4WEkMgUle5ajcA9EHd4aQRAwZiag8m8IgLk0n8/HdGZkyxDbUphI7ZGWlsaQIUP46aefaNmyJbNmzWLGjBlkZlYmVGzbti3Z2dm0atWKpUuX1rG0VREEgdOZ5ew4UYSdUsqAll64OCiuvaHIHed6E+LddkXmzPG9zP/iFfTlJXz99Vc88cQT99W6tSAIpKens2/fvvNRKvs4cOAAWm1Zjf2VSiXBwSE0aNCAvn37MGjQIAIDA2tNvoMHD9KiRYtr9pPLFbh5+uLi4Yuzuw8yuQKzyYjZZETj6IJvcCTF+ZkknzxAeuJxzCYjao2Gtm3a8uyzzzBixIgq59VsNnPs2DHi4uL444/FxMXtoEmrrgx78l18gyJqbX9FqiMIAkuPpxA3+xmUniG493sJgIdb+fPJ8KbV+kKlJSojv4wyg4UGfs4UlBtRK2WolXKyinW0m77Zts2ErqF8uyXlqjI08nVk2uDGqJVy+n+5w9Z+dGpvJi46hMliZfaDTXnkx12czqtcdtr5ZldC6jdC6R2Gx8BXMeYkkbN0Ct6jPkDpFXqlqag4tZP81V/gO+4rGkSEsvH/eoi5QuoYg8HAb7/9RkVFBS+//DJlZWVkZWVRv379uhbNRmmFmbUH8jCYrAxu44WzRlRm7jbuuCJjMhlY/b9ZbFz2Pe3bd2DBgvlVKqLeq+Tl5bFv3z727dvHnj172btvn20JxN3Lj6DwaILrx+Af2hAHJ1fsNI7Yqx3RVZSRn5VGXlYaeVnpZKacJPHEPiwWMzFNmzFk8AOMGzfutlcDFgSBZs1boDVKeert79BVaNGXl1FRXorJaMDFzRtXT18cnN2vaGEwGvR88Fwv8rPTUalUfPLJJ3Tu3JmYmBjk8muvRubk5DBq1Ci2bduGb1A4732/6bbuo8jVEQSBpcdS2P7ZY6jD2+DabRwA7/aPZFzHMM4WVqBWyUjJK+PBH/cik8C6lzvSc1alwjF9eCMeanXxt5tfpqflRxfP4YF3etJtxr+UVl91qoKvsx12cik6g4FsrYXXe4TQKNCDqX8do1Rvpk09dyZ2C2dvWiFdIj2xUyhpNXkFgtmE3MmjipJ11f01Gyk/uQ1Nkx5IJBJGNvdhxqhrK/Mid445c+YwadIkMjMz7xqfGaiMYlq1JwezRWBIW28c7MXIt7uJO1qiIDPtNPNmTCT77Bk+/vhjXn/99Xsy3Far1bJ///5KpeW8teVsehoAjs6uBEVE06bXwwTXjyE4IhpnN68rjuXs5oVPQFiVtgptCScObOXo7o3M+GIWH330EY899hhvvfXWFZ9UiouLSUxMRKlUEhAQgKur61Uv7BKJhI8/+pCBAweyZtFXPDThgxu2iJ05tpv87HSg8snq8y9mUlhYiJub2zWV00WLFjF69GgkUjnte4+i++Anb2hukVtHIpEQ4+PGVn05UtVFh8ZIHydmbjjJ1+etKe1CXBAAswBbT+Xa+pVWVI1M8XC045tHYli27xyjO4bg7qhiTPt6fLklufrcwIUno6ySSv8iB6WM4c39Gd2pPg/9sJu0okqH43Uncll3IheZBMYU6hkQ7Ye/pyvZ5Rf9la5rf+VKHKJ6AudrAB3M5pXeFfi5iP4ydwvPPPMMTZs2xdXVFYPBgFKpvCss9WqVjEGtvViyI5tjaWViLaZ7lFuyyFitVmJXzeWveZ9Sr149Fv2+kGbN6i7x161w4MABevToSUlJMXb2aoLCowiKiCY4IoaQyBjcva8cnXMz6HXl7Fj7O5tW/EhpcT4jRoykf/9+1K9fn/r166PRaHjuueeYN29ele3s7O3x9/MnMDCQwMAA/P39CQgIqPKys7Pjtdde4+eff+bRl6bTse/DNyxfeVkJdvZqMpJPErf+D/Zv/QtdhZbu3Xvw1FPjGTJkCHZ2dlW2SU9PJyoqmvDoDjzy4nQ0jmIB0LrCarXy0pD6uHR7EofmlRm1Y1/tyohvt1NwPinYi13r8f3WZOyVUna91ZN9qfnklBh4sE3INcc/kl7E4G93Xrc84Z4aZoyM4ZU/DpFaqKv2eZCrPQOifYn0duTXHUkczdRe99gXKNo6D1NeGl4jpvDx0MY8ch37IXLnmTRpEvv372fjxo13hTIDsCO+kOTsCh7u7IdCfu/4wt3v1LpFpjg/m/kz/4+Th+N46aWXmD59+j2b8O7YsWP06tUbd796vPjJdHwDw5HWskXJzl5Dz2FP0WXg4+zcuJQtf/3KkiWLL35uZ4dVgJFPTyGsUUssVjPF+VkU5WdTnJ9FcUEOuw8lULyxMurGbK5e7CY0MobwJq1vSr4LSkhw/WiC60cz/Kl3ObhjDbvW/8HDDz+Mi4srDz30IH5+fhgMBk7Ex7N1y1YU9g488uInohJTx5hNRixmE/83sBkpTp70aeJDiIeaSf0a8PqKE9hJ4aE2Ibzat6Ftm64Nrr/sREyQKy92DeWrS3xlZo2K4vP1pzhXUn3NSWswcSS9iLb13MgpzUJntlb5fHBTX1zUKvpH+xEV4MSCXek08NXw3op4rrGCZUPl1xC5c2UUlrNa9He4W+nduzcREREkJycTFhZ27Q3uAE2CHEnIKGfz0QJ6N/O4axQskevjpiwyJpOBTycOxGrQ8ttv8+jVq9edkLVWOHXqFJ07d8HO0YOJnyy6Y9WHa8KgryAvM5WccynkZ6XRqEUXAsMaX3M7q9WKtqTApuQYDTo8fYMJioiulUib7LOJ7NywhMM712Iy6pHJZHj51SMgrAk9ho6/6pKbyJ2huCCHtx5vzerVqxkwYECVz8rOp/a/tPp0ekEF8VmlhHs5EO51/bVodEYzJToTbhoVSrmU33amMGvjKYqvkgre3V5CiU7gwgLWR4Mb8UjbEM4WlbPhWCYfrj1zQ/t6OTLg9Ef9kMnEJ+u7lQ0bNtC/f3/2799P06ZN61ocAFJzKlh3MJ+YUEfaRrqIysxdQK04+079cTN5Wens2/IXh3as5sCBA0RFRd1Wwe8kVquViPqR6M1SXp7+B47O15+5VETkbiYr/TTTnu3FH39v4OvjEixWgZ9Gt6axf3VF3WSxMmP9KU5llxHqoeH1PpE3lO6/wmAmPquUIDc1SGDKX8fZnVRAke7aWWBf7hFOXpmBNUczKNLfWiFJHwc5vQMFvMqSeOqZZ0jOr6DCaCHQ1R4vJ7trDyByx7BYLCxdupQHH3zwrlIYjqWWEXeyiAYBGjo1dhND+euYWllamvp0dwDs1Wpmzpx5TysxADt37iQ5KZFXZywTlRiR+4oKbSkAM7ekkyOvrHX05Lw97H6nd7W+EkAulSCVVCYNk97AjcViFRj32172pRTh7qBk5QsdmDY4ir8OZfDRmgSupZrM2ZSIBLBeo9+1cFPL+GVsW+LWLOW9jz/htHMz1p0somjvCiKbd+CtR/vQwltGfHw87du3x87ODp3RglwmQSFabu44v/32G6Ghd19JiagQR5RyCVuPF1JaYaZ3Mw/slPde4Mp/jRv6BU+fPp3k5GS0ZWW88MILtSXTHeOPP/7AzdOHeg3FUE2R+wtdeaUiY5Jd9Fu7oKDklVTQ9uONfL2hMjOvXCbl8XbBPNE+hNHtQrC/gQt3udFMfGYZFgHytUaScsvxdFRR39vxmkoMVEY4WQF7uYSbvV2oZBJeOp+4b4OxAYpRX7DqRBEGs4XCuCUkxB/n+UWHefTDufTo0YOKigpe+N8+/Ps9h2+f5zicXnSTM4vcDFarlcWLF7Nt2zYATpw4Qffu3Tl16spJFu8kkQEODGztRWGZiRW7ckjL1XEdCxcidcgNKTLPPfccoaGh91SG0ythsVhYumw5TTsMuC/2R0TkUi5YZJ7o0gSNUoqrvZx5Yysdv0f9uIfsUiOfb06y9fd1tqdbpBdB7jcWsuyoktMvygeNUkZjX0diAiqXrryc7G7I3OuoktAh7PpDXyWAQgJeGhnhXg6YBdh2Jo/9Z0uQ2VX6+EikMgIn/oFDkx4AnFFF8tgXK0gqFVh9PBeLtgCTtpCJi/axMymfhbtTMZvF6si1jVQqZc2aNbz0UmWiRolEgru7O/7+/nUs2UX83OwY2s4bjUrG2gN5/LUnl6xCfV2LJXIFbshH5lrrVPcSsbGxdO/ende/WCFaZETuO7auns/yn6ZRVFZOYm45IR4anO0rI3lWHkjllaUnCPNQ8+9r3W55LkEQKCw34minQHk+dFUQBDYcz2bhnlT2phaiv7GiydeNUgomKzir5UwfFs2z/zt41f4eDnI6RXjy56EsW5ulogRd4h40Ub0YEO3Dt4+2rB1hRe45BEHgbL6ePaeKKSgz4euqItjLniBPO1wdFHfd0tj9xvXqHnetKSIhIYF58+aRmpp628cWBIGpU9/HP6Q+oQ2a3/bxRUTqmoryUpycXdCoFMQEutiUGIAhLUJImT7gqkqM3mRhc0IOiTmlZBZX0OWzzQyYs61Gi4XFKjDs63+p/+5atp7MACqfsvtE+fLr2DaMbhfMlUrZBLlULzB5IxjPO9dIgNah7jzUMgA7WeX7msjXmqsoMQCmvDQK1n2NuSiT7GLDFbYUqW3mzJmDt7f3tTveQSQSCUGe9ozo4EPPpu4o5RL2nylhyY5sFm7JZM+pYkzmW/XwErlV6jQfc0VFBefOncNkMmGxWCgpKWHnzp1s27adDRs3YDIaUdnZ8c7bb/PGG2+gUt3aRe8C//zzD9u2beX59+eKGrXIfYlOW4qL882nEvh0bQLzdqbiaCdj1oPNKNaZKDOYKDdacJZX9WZJyC4lrbjy/9G/HSHpIz8W7kmlVGfmqc5h9Iny51yJkbjTWRSdt84rJBDm6UB0oDPpB87ZxnKQg/YGrTdeDnL6RvvhqJIR6WOH2QpOcii5ZBwFUD3TUiWqwMYEvLiQ5hEBfD4q5sYmF7lttGvXjk8//RRBEO6667JEIiHcV0O4rwazxUpWoYG0PB1HU8tIyqqgR4w73q635/4kcuPcEUWmvLycvXv3snPnThISEkhMSiI5OYXcnOxqfe3s1YQ2bMGgx1+jXc+RbFzxI++/P41f587jiccfY/DgwTRr1uymv+hms5nXXn+DBk3b07jlrZvVRUTuRnTlpbi4utz09hZrpeXFahWICXThk6FRuGkUOKuV1fq6O1y8gLspYeGeVN5bdRKAzBI9Hw2N4vG2waw+etES0ruJD0FuaiK8HPFxVLH1TB7F5XpUCjlpBToMlz3kKqUXrS+XU26y0r6eJ5HvrrNFP5VcpgxdSYmBSl8aBwdHZj/UjFAPDT/8vZOfv/6CH6e/S7NmzTh06BDbtm3juedfBODPfzZQLlHRqHE0jf2dcLQTk+/dDlq3bk3r1jeXwPNOIpdJCfS0J9DTnqhgR/49UsC/R/J5qLOfGK5dR9SKInPu3Dni4uKIi4tjR9xOjhw+hMViQa1xxC8kEnfvIFr1aIOHbxCuHr7IFUqkUhkKlR2+geHI5BcvDEPHTqJN92GsX/INn8+czbRp0/APCGTwA4MYMmQIXbp0QamsfnGtCUEQ+OCDDziVcJJJc1bfdVq/iMjtokJbipvLzdeNmdS/EW3quRHu6YiHQ2XG3Svh62xP3KRuZBXriQ5w4ZftF52ItQYzEomENvXc8XdSca7UgINSysBoX77bksSSfWcpqLhUzaj8v4GHin7RfszaXJk5+EpKDECzIBdKKwy3FMLtWJFFr7Yx/PLLL3wUm0/e6RSmLNmN/wkLwokN/Pbt56wxNSa92EDq/EnInDzxGPgqDtYKtJu/RdPhcSrsvfn7hfY0CRDr9dwMRqORb775hrCwMB544IG6Fue6cNYo6NLEjWVx2aTl6qjnI9b3qgtuiyIjCAJxcXHMnTuXjf9ushVa9PILJiSyOaOeHUpYo5b4Bte/qQghv+D6jH19DhaziTPH93Bk90aWLP+Lb7/9FkdHJ/r178fzEybQuXPnK45hMpl4/vnn+emnnxj42P8RHHFv58AREbka+ooyTDLJTZvp1Uo5A6IDrru/v4sa//NFGsd1rEdGsQ6t3sKUQY147OddnM7W8ufz7VHK5bhrlExfd5LT2aXorxAklFZsYNklS04Akd4azhXp0RovbtTYV8OzXSKYtyPl8iFuiNcf6sZOThATE4NyfRzeD37AUQGOHs8BYvB+bgGn8iv9ZzxHTEUwV/5fXK4jJ+UMXi2sKOxhyNc7SZw+4CoziVxOdnY2Pj4+KBQK5s2bx1NPPVXXIt0QVmtlvIxKcde6nN733FLUUklJCT/++CM//vQziWdO4+kbRHSbXtRr1JKwRi1wdqs9xy1BEMhIjufonn85tGM151JP06dPHz755JNqhStLSkoYMWIEsbFbePSl6bTrNbLW5BIRuRvY9e8y5s98lVdffZXPP//8lsbSmyysP5FNdomeVqFuNA+6fotDXpmBVh/9C8CDLfz4dGTlb/PLf0/z7eYz6K/TjDK5bwQdG/hyNKOIBbvSOHquMry8kY8Dret5kFZYTnJ2GdllBgyWa+f8UMtBKpPioJITE+DMnpQiJg9owPCWwexKzGf2plPsSSm+LtkEwYpEIkWwWtCunMa8L6YwaNCg69ux/zirV69m6NChnDlzhpCQECwWC7JarnN3u9l3ppjjaVpGd/dHKi4t3VZqtWhkcXExX375JTNnzqJCp6NZh368PO59IqLa3rGcLBKJhMCwxgSGNab/wy9xKG4Nf8//nObNmzNs2HD8/HzJzs4mMyubM2fOUKHT8+KHC4iMaX9H5BMRqSusViv6ijJU9mq+/e478iIG8UTHCHo0vvLy0NXYlVzAd7GJ5GkNHEovYtrgJted8t9No6S+l4aMIh1PdbpYIFAlk1yXEhPuqWb5hI62qKtIH0c6h3sw+JsdVJgsdG/kzelsLXKgwmzBTiHDYKnuLeyiklBhEpBIKmVqE+rBEx1CaB7kSrNp6ynWmfkyNpnhLYNp5O9MlL8rUiQcSSui4hpySiRSFMCwpp5kZTe+6yJv7jZ2797NwYMHmTBhAt26dePnn3/G17eyYOm9psQAFGvNeDgpRCWmDrkhRaaoqIgvvviC2bPnoDcY6ND3EXqPeBYX97r94UokEpp3HEBMuz7s2riU2L9+RXb4BA4unji5eNGscxPa934Q74B6dSqniEhtY9BX8PMnz3F83xbGjh3L2cA+bE3RsjXlEAkfeGOnuPEbhd5osS3nlOhM6EzXnzROJpWw4f+6Vmv3c7uYcdjFTkax3kL3CFc+HtGMP/ak82VsIu4OCn4Z3bpK6DiAt4ua3e/0plRnpOn7G6/qG+OokhAd4Mr4TpW//e82nSSnzMQT7YNslqVpgxoxa1MiHw9tAsDJrFIyinQ4qxXXVGIGRfkwINqXUzlanu8ahnFIDGq16CdxNVauXMmePXuYMGECGo2G0aNH17VIt4SAQJHWTGGZCTdH0fG7LrihpSUHB0eMJjOd+j1CrxHP1OrSkYiIyI1hNhn5ftp4UhMOsGzZUvr27cuE+XtYE58PwOu96/N894gbHje3VM8vO5JJK6igR0NvhjUPqBadkVFYzsdrThLoqubVPg1sifGuhNUqsHh/CkqpjJ92pHImR0vXSE9+Ht3qun161hzLZMLCQzV+ppFBkKeGtvU8KNGZeLNfQ87klvHYz3sB8HNSsPPt6nWnAGJP5bJ4bzo6o5WtZ/Jq7OOuVhAd5MJXDzfDQXXx5tWxY0c6d+7Mxx9/fF37cD+j1+uRSqU1BmMYDIbblk6jrtHqzKw5kIdWZ6ZfSy98xTDs20atJMRr2W0YH/y6nRFPvycqMSIidxFWq5X5M1/lzLFd/PXXSvr27QvAI+3qoVZIsZNL8b/ECnKBAq2e/SmFV03N7+Vkx2t9GvBqr/p88Pcx6r+9hneXH67SZ+bG06w7kcOvO1PZl1p4TXmlUgndI335eN1pHFQyGng7cDCtiKZT19PovbXsTMxj08kcFuxKQ38FC1BMDZW8L2AUJNT3dmLzyRxWHMqkw8eb2JV4USkJquFYXPxMjb1Sjrdz9RuSp4MSb0cFXs52jGsfWkWJsVqtjBs37rb7xwiCQG6ZnpxSPS1HTMC5zXBGfrudLQk5d2UNIIul8nz98ccfODg4oNPpADhy5Ajr1q0DuG+UGAAHezmD23jj4aTkn725pOfp6lqk/xw3pMg8MPp1nFw9a0sWERGRm0AQBJb++D77t/3NtFk/4BHRgtOZRXT5bBNPzttLyxBXPh8ZzeCYqrVs9qUU0OLDTYz4YRdN3luH1XrldRSFTMpP21MoNQhYgD/2Xx5R5IhCJsFBKcPb6fpuUnP+PUWB1sj+tBIScrQU6cyUGCxUGK28seQQKXla8rUGyg2VPi9zNp0haso6Rn0fhyAI+Ltp8HKoeXXc0U6OVCIh7XwGPjPwzZYUvhgRRfd6TuxOLSVk0j+k5mmrbVvPQ0P3Bl6YLAJtgpxtxSxlQJ7WSG6ZieHN/ekY4VFlO6lUyrhx46hfvz6FhddW5q6Xn/+OY9RX//Lwd9tJLjQgtXNgX3opzyzYT0bR3XXT/PTTTxkyZAhWq5VOnTrx888/Y29vz/Hjx2nRogUjR46ktLS0rsW87agUUvq39CLAw451B/I4k1le1yL9p6jTzL4iIiI3hyAInM4rIbWojKwt89mzah6hgyfyXbon330bV6XvtjMFZJXoCfNypKHvRfPsl5tO2/7XWyGtoIJQT4crztkyxJUlBypLELhpql46xncOo009d9w0qusuPPlslzBWHc0i0EVNRnEFZZdkwcsoNRHopqZZsKst4d6SfemUGSwcTCumQGvAw9GuWg0nGTCiZQBOdnIOpFWvav3hmgSKLslbM/nPoyx4umoAQIXRQqnOhLuDkvXHS7FXSmkR7MrWMwVAZcVupVRyxSWwYSNGoCuvYPfuXbcc/FBQVMzzD/VD02oYzu1G4dR6GPr0Y5hL85A5eWKy3F3p8aOjo20KcVhYGGFhlQ7ejRtXOkE/9NBD9029vsuRyyT0bubBluOFbDpSgNFkpXGwY12L9Z9AVGRERO5BEgtK+X3daoo2/4IpNxmXzk9gbdDriv3P5Jbz3ZZEvnz4Ym2xvo192J540XLw07YkejX2pVsDrxrHGNUqCKVcypGzRbzYvX6Vz2RSCU1vICwbIMjDkePv9wPgWEYJmxNykFhNzNycClRaRrwcL0ZHDW8ewC87Uoj0caCgTM+gr7bT1M8RiUQgLqkYM5VKRlG5kXKjhdb13Ekr0FJQcXFpqqiiao7fXo2r7+vJrFK2ns7DYLbg6WiHh4OKuWNbEzVlHeUmgRA3Ox5rFwpAucFMQnYZOqOFdmHu7E8t4GyT0TiqZJTrDTiqr7yEdT24Ojsz6NUv2FfhDkDvhp78s/hX5H4NmPbFV4S4a25p/NuB0Whk/vz5jB07ln79+tGvX79qfSQSCVOmTKFVq1Z1IOGdQyqV0C3KDZVcyvb4IvQmK83DnMTkq7XMDTn7zlx2HHu1qGGKiNQl2WcT+emr98g8HofSLxLXbuOxC2h4ze1iApz564WOVdpWHkxnR2I+vs72rDiUSZCbhoXjW/PRPycxWQXe6B3By0uOkphbxuu9GzAg5uZCuKHSirRkXzqrjmRSWG6iTYgrL/asj6taWSV0NT2/HKVCgo/zlS07byw7zJL955BJYN87PXFWK9mbUkBumR5HOwXeTnbU93bEYDLzzeZElh7MoEBr4sLFzkUJXz7aks6RF339Tpwr5rN1CXRr6M2prFK2nMplXPsQnupa6SCtM5rJLTMQ5KZGIpHw6ZoTfLcttfLY+jvy05jWLN4ez2erj6By8WL/u71wqaGkw/USGxtLhw4dyCo1smBXKhYBHmsXgpedQHl5OT4+Pjc99u1k7dq1DB06lEOHDtGw4bW/h/8FBEHgYFIp+86UEOajJjJAg7+73TVLGFQYLJgtAlJp5cOBXCpBLruy9e9+53qdfUVFRkTkHqG0KI9/fp/DjnW/4+Xjh7nFw6gbdEIikaCQgEkAjUKCVAJlxqo/awmVUUsTLotaEgSB3+KSmbczBXcHOyZ0i2Dr6Tzm76rMzt3Ay4GE3Eo/Eo0Mjn/Y/6YvqiU6Ez0+jyW/vKpVxEMtY9EzHYjwvv5rS0JWCaN/2UMDX0fmjm17zRweKTmlTFt7kp2n8211nH55oiU9GlUqMoIgEPH2GsznD5sdcL6+Jac/7FctCstgttDwktpOAPHv92HwoP4kZxfy5fyVDGh6/ZmRLycjI4OgoCDajXuPyI79+faRFtgpZXdtwrjMzEz8/K6u5KalpbF+/XqefvrpOyRV3ZNwVsuh5FJKKswo5RKCveyp56Mm0MMOQYC8EiO5JUZyiw3klhjR1pDq2tNZSfdod1yvVEL+PqZWE+KJiIjUPhaziWPH9nFgdyyZJ3eTnXwcBwdHPp0+nRdeeIEz+XqOnSuhoW9l4cLc0gqc1UoGf1XVR0YCeDgoaBfmXm2OPK2BT9edQmcWyCk14umoIrv0ogOp6dIsubeY69JRJcdNo6ymyORXWPhpWxKfjWxapV0QBArKjcgkElw1Fy0ber2JAV/uQBBg3aim11RiBEHgt12pxCbkV2lvElB5YZy+Jp69qUU2JQbA3g705zWZmoaXSiRIJHDBxCOlcllh/m+/kZ+fT1TUjSsxFouFtWvX0qBBA9x8Alm2YTuTYws4kFZEid5IQV4hrVu3ZsWKFbRp0+aGx7/dmM1m1qxZw6BBg66pxABs2rSJd955h1GjRuHi4lL7At4FNAh0IDJAQ6HWRHJ2BcnZOs5k5iOTSrBaBQQqfWs8nZSE+arxclZhp5RitghYrQJGi5VDSaUsi8umQ0NXGgVd2Yftv4yoyIiI3EVkn0vlwJ7NpB6LI+nYbnQVWmT2jriEN+e1D77gjWcex929UiGJCrAjKsDFtm24lwNZxTqUcilm00VbgQAUaU0s3HOWZsFuVebTKCuVi3MlBlzVCpYdyMBTo6RbpCcKqYSPhjbh1SVHSC+qYMrAxlWsMUazldiEHA6kFWGvlNO9gSfRAS5V+hRoDaQWVCCTSgj3cuC13vV5+n/Vc7+EeVW9QFutAj/vSOKb2CSUUgmTBzbCz9UeL0c7MgoruKBfrT+ZzUOtQ694PA1GE5HvbbC9lwF73umOo0qBSll5+Tt2rpScUj2jWvizIzGfgdF+vNm3ASsPZ9CungdyWXUNTiGT8s6Ahnyy5iRWAYY18yGjqByVypn4+O1Mnz6dhQsXAjB37lzCw8Pp1KkTer2eHTt20KZNGxwdHVm1ahUbtsbRf8zLmE1GxoweTVTfx8kP60ugmz0dI/1wd1Di5WhHllbCgw8+eNcs3+zdu5chQ4Zw9OhRmjRpcs3+jz32GA8++CAaTd379dxJJBIJ7o5K3B2VtIpwoVhrIi2v8nfq5azE1eHqWYHr+ajZebKYbScK0djJCPa6Nb+r+xFxaUlEpA7RlZdy6shO4g9uJ+HQNvKy0kEqQ+XfkJ49eiD4x5AseKJUKPhsZAx9Gl/bL2LezmS+WH8as1XAaLJywVg9qoUfn41sVq1/VnEFh9KLiQ5wJvZUHuUGM0+0D0GtvPJzjiAI/L43jff+PGEbP8hZwaxHWtIi2I3D6YUs3X+W0zllpBWUI5fKaB7swvjO4SRnl7L88Dka+jhgp1Dg52rPqJaBVRSGxFwt/WZv5YI+Zi+X4Oagwl2j5JtHmzN27l4MJiuxr3VBLr+ynGkF5XSZsQWorK+08dVu+LtW9b1ZfTiDhXvS8HFR06exD70a+VzTl+ECxRVG+szcSo7WiFwqoYmfEx6ZcdiXZfDVV18hCAJNmzVn4ID+fPTRRxw9epSYmBh2795NmzZt+L+pn7J4+V8EPTINiQDe8gpOlsrRmwWkEpj1YFMGN60aNp+Wloa7uzsODnX/dL5jxw46dux47Y6XUFFRwWOPPcbkyZOr1cUTqRlBEFh3II/sYiMjOvjgaP/fsEGIS0siIncR2tIics4mknMumZyMZLIzksg7l0xOZipWiwUv/xDcG7SCdqOxC4pCqlJzHFBZoGmwK/tTi3h54QHWTOxEqHfVH3R8Zgm/7Uzlhe7hBLppGNO+HsOaB2I0WRj1/U6SC3RIgHEdw7BYK2+Ql1pNfF3U+J6vXP14u+t7Wi4oN7JodxqXruinl5h4b+UR3u7fmEd/2XfZFmYyj+Vgsgh8MjyGYa2CbJ8YzVYyinQo5FKc7eTIpFLMVivmSxxQ9GaB3FI9FQYz54p0/Ptqt+uSM8hNTaibirNFBv43vlU1JeZccQUv/nEEAZBSzIHUIhztFHQI96h5wMtIzNOSozVW7qFVIKOoAv/GPZn1UOUN+mhGCcM++B+dzo/n6uXPnD+307BJFGV6E5bI3jgNaUJWSWU17UK5DKVcitFiwcleQaS3A90+28TZIj3vDWqAo0rGg327YhccTermP3BzuvPlELKysti8eTODBw++YSUGKhWZoqIizObqNbFEakYikdAt2p1lO7OJPVrAA23EhLSXIioyIiK3EW1JIUnx+8nJSCYx+SQpyaexFGWi0xYD54udBgXRILIBXVsPICoqih8S7cnDBR1w+W3JIEBidjEWQGeFB3/cyd7Jfav0+WRNAkcyitGZLLbwaic7BdgpWDGhAzM2JNA10osNJzLpOycJhQQOvtcLR/ubj6gxmK2UGao7Jp7IqmD8/P1X3G5PSiEJWaU42cvZn1pEsyAX1p/I4VyxDotVICmnjKxSA038nRje3I/lBzMBcNcoKDdasFPK0Ztrzp2iM5rp9NF68g1Q30PF2le6I5NJiX2jp63PBQP0BUUus0hvi2SyAjmlOk5mldaoyOSU6jBbwd/lomk/wtMBLwcluectMvU8HejewMtmXbqgL174O3v7WRIyrVh2nuWBpv6cLSrHcInLkNEMDX0dGNTUjw71PMgvN5BSWOms896qBCSAe98Xkao0fLQmgS8euhhOf6fYsmULEyZMqDHM+nrw8PBg8+bNSCQSrFYrv//+O0OHDv3PLTndKHZKGR0aurL+YD7ZRQZ8xFIINkRFRkTkFjGbjBzfF8vuTcs4vnczFosZBwdHNF6B2Ln7ENiiI2890pPIyEgiIiJQqewwWa2o5JXRJ3PeWwfGmtPwqxUSfF3tKciqAMBFXT1y4ZE2QejNFh5uHVTtMxeNio+GxgAwceFBoDK6aeWhszzePqxKX0EQGP51LMn5Ov5+sTOBHldeRnbXKGke5EJaYfXMsoIg4GInpbiG8tZGs5XiChOTVhwlt1RPgKuaCG9HAl3VFOsMnCvRU6o3sze5gPWvdGZMh3qcziljwa5Uzhbp8HBQoqjBZwXgneWHya80bHA638DCPak83i7UprTEZxYz4MtKR+iNr3Yi3NMJLycVoa52pBTpkQD2Cik+NVT2TivQMmD2VnQm+HBIYx5uGwKAs1rJ2pc7czC9iDBPBxztFHg4XFQQowNcCPHQ4KiqvNQOjvajpNxI/yY+uNgrcNOoUMjggk6okIO3k4phzQJwUStxLa16fBWA4N8AgIdb33xU1K3Qr18/8vPzUShuPormwjnZtGkT48aNo2HDhrRo0QK9Xo+d3fVVVv8vEuJlj7NGzpGUUnzELPs2REVGROQmEASBs0nH2fXvMg5sW0VZcSFNmzXniy8+p333fkRH1gOphLXHztGrkS+a8zV5Xvp9P6uO5uDnrOKVXpEMburPn8+3Y/Tc/XhppBw5V4GbWsaaiV0pN5nxd7bHYhV4bsF+rILA94+3rCZLvyhf+kX5XlPmliFubEuqTIB3Kqd6CvVlB85y8FzljbPX59tImD7gimPZKWS81DMSo8nM7tQiBIuVcoMVPxcFHwxvhtki8OriQxRUVF0+8HdR4edSGXqqNwsk5pWj1ZsJ9dCQkl+Bt5MKR5WczhEeBLiqKTNYCPd0wGwROJpRTENfJ1vV6ksxmq2sO5FTpe29VSf56O+TnPqkcj/WH8uxWV82x+cS3sWJIDc1bw1sxNy4VMoNZrrW96RrDQkBD6YVoz1vOfltV6pNkQFwd1DRq9GVfZec7C7e8DtHetE58uL4A6J8yC7RkV5YeT7cNXacztHy1+FzjG4filIuw0EpQXs+nN4ENHC2ULzvL+ysja84Z23i4uJy1XIWN0KvXr3IyMjAy6vymPTs2ZOWLVsye/ZsLBYLWq0WZ+cr19T6ryGRSIgJdWLb8UKKtSZc/oMh2TUhKjIiIjdASWEue2P/ZO+m5WSknsLLy5tnxo9j9OjRNGnShOFfb2fWwjMoJGc4+WE/hjS7aCUxWaysi88FILPEwN9HzuHvak/7MA/iJvW46rzzxre9Zdk/GhbN8O93YjCaiKqh4GKQ68UnYR+Xa8dah3po+HRUc7JL9MilEvxd7W3WkvwyQ7WwZT8nJU+0r0d0gAtfP9KMj1fHsyetmBK9CatVwGwREATo2dibZzvXo/676xAAD3vY915/RrYMqMy9oTVgtlpxvERBkEjA01FJWpGxypwGobKYo1Qq5cUe4Ww4mYNMAk92DD2/nYTejX1pE+qBwWzB3UGFyWLl78OZ5JbpaOLvQutQN1qHuuGhkVNcYWZEy8DrPeTXZGCMP95O9hxMLwYgIbuUXUn5bIzP4Yl2Iby55KBNiYHKCLQSnYXjsX9x5tSDuGtUzJkzh2eeeYbQ0CtHb91OHnvsMQ4cOMDhw4dvS/HHC0oMwMSJE/H0rLQ07N27l/bt23P8+HEaN64bpe1upL6fhoNJJcQeK2BwG+9rph/4LyBGLYmIXAOTUc/R3f+yZtX/yE7Yi1wuY/DgIYwZM5revXtXiZpp9O4/XDBCHJvSG0f7izdbrcHMK38cZOPJPGQSiPBy4JXekdcViXQ1ckr1LD+YgUYpY1TLQOyvEm1ksVhp9N5aDBYY1tSHLx5sXsXxd2tCDvGZxTzdJfyWEq9tP5PH47/stb3XKCT8PKY1LYLdbMnlLBYrby4/Qr7WiI+zPVq9CZ3JyqNtgtidlM+PO1Jt2x9+rxcOKjmP/7KL/anF+Dir+OHxVjTyu6iQ7UnO56n5+9GbLMgkoDt/Hh5uFcjUBxqjUlx7f8wWK2//eZSl+88hnJd7+vAYBjX1R2swU2Ew4+moqrVMq7mlen7fm06PBl6czCrhjeXHbZ+1DXbiyLlSdGZwVgk8360BPYOkdO/enVWrVhEdHc0333zD6dOnmTNnTq3IB5XJ+vbs2cPw4cNrbQ6odCresmULQ4cOFZebLiO7yMBfe3JoXd+FZvXuz9pVcP1RS7eY4kpE5P5DbzJTVKEnOeEgv3/9Dm893pqfpz9PfnEhLj2fITMziyVLFtO/f/9qob+fPxSDBFArpVgue0bQKGV0qu9Fm1BXQjzURAc4E+Z56w6OM9ae5LN1p5j2dzyL9p69al+JxJbDjX/jsym+rPZQlwbePNc98pazx3o6qqqYe32dVWw8mQ3CxSUJmUzK5IFNGBDth0QioJBL6dvYm871PSk3VV2S0ijl7DiTx67kYkxWOFtk4LvYxCp92tTz4JOh0bhpVDYlBmDxvrP8siPpuuTOKKpg9dEs2zEqNwn8GpeCIAg4qOR4OdnVarp4Lyc7Xu5Zn6gAF9ILK6p8plTIbftVYpDw8bpTfLw1l8+WbKV+g0qLhVQqRams9NERBIH8/KpJAG8HAQEBDB8+HJPJxJw5czhx4sRtnwPA19eXwYMHs3nzZsrKympljnsVH1cVrhoFZTox8gvEpaX/FIIgYLJYUcikN3QxFgSB0qJczqUkkJFykuL8bIIjoqkf0w5Xj2v7ZtxLGE1mPpzzMSWH12MuzMDPP4CXXpiANqAtq9Irb+5XW7Pv19ifpzuXYraCs33V9WuJRMLIFoEEuqkpN5ip7+1IuNetWzgvFEK0CFCiq1xaOXa2mIScUrrU98LrEudVqVTKPy905M0VRwnzcsLRrnYuAQ18nPhoWBS/7EjB3VHJ2bxylh84h4eDigldL5ZJcFYrGN48gEPpBaw6nEncmXyaBbvyRLt6HD9XSnGFkY+GRKGQS3HXVI2ycjgvu9UqkFWqx2Cy0CLYlQpj1Yu7FdiZWMiEyyK2TRYrW07l0DrYDWfNlZdIarJZ95u9hZPZ5Yxo7sfno24sF4reZGFPSiGBrvbUu0q18Wc7h/FDbDImwFEBAW7VE6H9e6qAf08V8N7K45z8qD/PPfec7bOlS5fy2GOP8fum/QT6+9M8yAWF/PaVN7BYLPzwww/I5fJaW/rJzMzkkUceYevWrcTExNTKHPcagiBwOLmMQq2JmFBxhQREReY/g06vZ/K7z2DWFiCRygnzcEYmV6A1WigTFIQGBBEWHIqzhy8OGkeyM5I4l5JAZtopMlNPUlZSBIBao8HHx5fYVXMB8PYPoWn7/gwZ+2Zd7t5tQRAE/rf4Vwo2/4K6URd6jJvEP9OfRSaTYTRbOD5rKzKpxPa0bjRbkUqokshNIpHwVv9GNY5fWG5k7o4U6ns70qeJT7X6PTfLC90jMFqsONnJebBVEEXlRt796zjphRUcPVvCB0OjbH3ztXqyy4z876l2qJVytp7KZcXBDPpH+dKnyY0ppYIgkJRbhpO9Ai+n6jfZB1sH8eD5SKpvY8+w5mg2Q6J9yS3V46JWoDx/U9UazWyMz8UiQK7WSEpeOb0a+7D4mfYIAtgrK/s52ivxsId8HTiqJLzSO5KcUj3LDpxld1IhOpMZidVCaQ31ampi5HdxHM4oxVEl5dj5Ktz+rmr6N/Fh+cFMBCoT8Y3uEFJN8U/Oq3TO3ZV44xaPxFwta49lEeKh4dkuV1ZkHOyVnP6kP3qTFTuFlFKdkX+PnyO3orLsxKX6ld4KOqMFteriJb1nz54MfH4qr/1zFilncdzyGSMG9GTy5Mk3LHNN2NnZsW/fvloJm77g8RAeHs6iRYtEH5lLSMquYM/pYlqEO1HfXwxZB1GR+c+wYfsmyuO3YB/RFolUjqebGjsZxJ0pxFih5VDifvZqiy6a/iUSwsPDiYmO5pFhfYiOjiYqKorQ0FCkUin5+fls3bqV7777jk0rf2bwmDfu+QqtJ9PPcWDl16gbdeHFqbN574HGtiUWpVzGqhcrCzSezC5j6f4M4jNLkEsltA3z4KFWgfi6XD11+NZTuSzZfxa5TEJiXhljO4TedHVkvdFMXFIB7eu50yzYlQWXOAOX6oyolTIUUgnOmotWIZPZyrh5+0nJ09K9gRcvdo9g9NzKxHV/Hcli1QvtiQ6oHhF0JVYfyuDFJUcBeLxtEK/0isRNU/P+TOgWwYRuEbzz5yEW7snEUSXl6NS+SCQSHFVyHmwVyE/bU/B3sSfSp3It3O4yn5ZftidToKu8iTvZq5BJJPwal8xvccm2iKIrYa4hysbhvIKkuGQZTSGT8sGQaDqEe5JbZqCJvzPta6hRtfPN7vy0LYmJvSKvPnEN1PPU0K2BF8Hu105mJ5FIbIqcs1rF3vcGIAgCEomEiQv38texPFvfC/0uoHF0JtW1BVSYsQgCDmEtaN26NQAnT55EEAQaNapZ6b5eLigxS5Ys4c8//2ThwoVIpbemoAuCwPPPP49KpWLWrFk3na/mfiXv/9k76/A27uzrf2bEsszMbMdhZsYmTTHFlJmZYYvbbne3W253u2Vm5rRhZie2Y8eOmVnMmnn/kCNbsR3odt/d/TXnedrY0mgkjaWZ87333HNMbsJ0SibkRvynX8p/DY4Tmd8J2vauQRmRQOxp9yEIAp//YR7hOg3Xv7+Ttfs78Hl9OLxefLYuJKcNZWQiZX85DcUgnh0xMTEsW7aM4uJidhUW/8+TGIDC7/4JXjcTzrqBh04ZjkeS8UlywK7eoFWxo6aL+78s4kCbFa/kv6juaTSxq6aLJ88ehV6tZG+DCQEZZIGRaREYelbJE7OiiQvTYNAo2ddsoaLNyoSMqMO8osHx2PdlfF/czMKCeP60bGTQfZe/tYNddd0sHJrANbNyArc7vT66rG5cXokmk5P67mANRnWH7ZiITIfDFfj54x11jM+I6menfyi2VhoBsLokfJKMUiEgCAI3z89n2bg0LE4P6yvaGO+OJj8xuGyuUgiBSoRSIVLVbmP1/vYjkhgAg6b/mOrbl0+hqt1KWnTwqlanVnDa2MN7tESH6bh76ZHzhQaCXq38lwTeB79rzyyfwOKiZrZWdzI+IwpBEHC4vSx8chUNZg9LhsUi9yxMBEHghHMuZdGi4UiSxCWXXEJ0dDTffffdUT1ndYeNnbVdNHQ7CNWqGJ0azojkiEBVUa/XYzAYaGpqIiXlX/O3kWWZMWPG/Es+Nf+XYXP6CNH99yWg/ydxnMj8TqBXKUiNj2be0FiumZVLZIhfN/H02WPotnv44zd7+ba4HWVYHIRBTIhyUBJzEGanhw/WFuNR6XH7JNRH2P6/GS31B9j4w7vc9+AjjFwykT9+X4rX5xd4JoZryYkLJTFCwxsbq6hotQZCC2XA6ZHYVtPFR9vrSYsK4dOd9Wyt7sLjk1k8NJa/X+hfBSeGaTl5VDK76rqJMWhICNMiy/6EW80xahfSonRoFCJp0f2rQC6vhIBAmFZBSJ9WQ6hWxR+WFrCuvINzJqaSHWsgXAkmL+gFmJN/bLbnZ43L4LPt9RS32FGK4lG1yj6+eiqPfl3EsrHB2UpKhYhWJbDk2U04PDIqEb6+YToFieG43F7GPvoTNg/MzonAJYlcNTMbjyRhdh6d2PHM8f0vrqIokBlr4PkVpby4rhpBEPjuhqnkJkQAfu3N7vpuwnUqcuJCsbu96FSK/xrSLggCU3NjufHD3by9pY4og5qqNhv1Zj+z+66kndHJBsyNVkI0Csam+0mqKIqsXbsWo9EIQHl5OQaDYdAE6y1VnXy+qwGTw4teJeL2Seys7WZSZhTnTExFo1SwdOlSli5d+pu8L1EUueKKK36Tff1fhMsjoTw+ch2E40Tmd4KsoePZ+NOHXDdKw+ieKsBLqw/w4fY6rp6VzdPnjCPz53LqjXb+cNJwog1H9oeobrfSKWmxd7fSabGSGPG/OQbo8vp44bXnELVh1CXOYvOaSlotLpweLz4JJBkUAmTF6Gi3egIkJmgfPpkXVlZw5axsQjRKvD0blbfb2FtvJDc+FJ1awfmT05mSHU20QY0syZz6wgaqO2ycOjqZidlRfFPYxI7abhYPT+SqmZkseW4DcaEaVt4erFS9YmY2l0zLHDCZ+fNrp9FstPfLFQJYNDxYC/P1LbO49/MikiP0hKiPjUy5fV7UKhXz8qKYlZ/AzFy//8fqslbWVXQQolJyzqQUUiJ7Kx5RBg1PL/eb+r2+4QDvbK7nsukZnD8lk731JhyeHuM3CTZXdlCQGM4fvyvB1lN12V5jpOSPfoO7ilYLcaFqGrqD3W81IozNiKKx245aKXLFjOx++h9Zlvnnukqq2618uKPx4K3sbTSSmxBBSZOJyjYr26q70GsUDE0I49Hv9jE+PYqXL+xvSvifglopolcrcHokYg2aIGGyCrh54RA2VXaSHhXCzLxevxaNRkN8vJ+4Xn311SiVSlasWMGhaLe4+LqwEbdXwidJVHU40KkVpERoWbGvhWidwAdP3stZZ53FKaec8i+/nw8//JAtW7bw9NNP/9cQxv82pMRo2brfiNPtQ3uM39n/qzhOZH4nmDjnVFZ8/CJ33XUXP/30EwAdVhc+n0yH1YVKqeC2xQV8uLWG534u554Th6JRiXgleVBL+Jy4UOYvPJEP175LR8VOEiccXZDffxO8ksRrW0sxV+5CkzGaNQeMA28nQ3l7fzv+vnBL8MLqSs4am8TDJ+bzya4GipptnPziRiak6Hn7yhlolAqGJ4dT1W5l7t/WBh773rY63ttaFwhhfHdrHaIAFpcPq8s+4PMNRGIAFKJAStTRiQAf+66MTZVdKMQuxmdEctaE/jEHg+HSN7ezu96MUoTXLp0CwKvrKvnj92WBbd7aeICvbpxJVmxwm6jN7OTpXw5gcfp4+pcKzp+SyZi0SEI1IhaXhAJ4ZkUZj3xbhrbP2xya1Pu+smINnDA8kWajg2ZzrxFeeoyevPhQJmZGce7EdBLC+3uQfLW7nj/9sL/f7UtGJPsrjVvr6La7GZYUzpi0SPa3mPH55MCE2K+BLMu0ml2E61T99Cy/FlqVgu33L8Ar+VtiOfHw3DmjWFfeznWzc8iMC2X2ESpt77//Pg6H/7NdX19PZGRkIFl7X7OZTpsHpQiFO7Yi24yED51GWaOJ2nUfsXHDcIZZbERERPwm78dkMtHd3X2cxBwGeUkhbN1vpLzJxsiM/83F42+N40TmvwCSJFG5bwc2cxfDJsxBpfrtw8AUCiUnX3Qn/3zsalauXMm8efO4b0kB50xIJTfef5FpN7u494sSJPx+I+EhasqazcwpiOeMsSmYnV5KGo0MTQon2qAhRKPk/XvOZvMr91K05WdG/A8SmdJWI2avjDZzLLaS1Xi6GlFFHV7ncSR8squJEy+ZgNHee3Hd3mBnzCM/IQC3LxyC0xs8WSPL/jHhvpiVG0V1h5Uhib+NRbvF4eHF1RW0m51cNTuXvIRQUqN0KES/4LWv+LSowYRXkhgzQBzAQZw0Iok99Waye0aIXV4fT/5UFrSNxQPP/FzOc8vHBW6rarfyzzUH8PbkS41OCafZ5ODbPU0MSQijtMmMzydxkJs4JciO0XHnogLCQ9S8v6WWiBA1U7KiOXdiGjEhajZXdbKrpovKTgflbXaM9ib0GhUJYVrOnZTe77WnRuoDepu8WC21XU4eOqUAnVqFyieRHWegw+rmjHEpxIVpmZwVxZSsKNKOQqA7GL7a3chTv+xnRFI4T5415jcjMyqlgr5qkpNHp3Dy6N5WmtPt5dUNlZw6KpmU6P5TUgkJvXqdK664Aq/Xyy+//MKuXbs4f9lZzL75ORShMbQVrsZaV0J6+gSMLh/W4lWYt3zKkPNvIHfUxKN+vbIsY7VaMRgM/QjLVVddxVVXXXX0b/53CJ1GQUacjrIGGyPSQ4+TPo47+/5H0dpQxZaVn7F9zRd0tvrL2wvPuJrTLr3n3/J8sizz5G2nEa4T2LZtaz8zN4fby4THfsHu8nH5jEy+KmzE5vaREqnnkVOG8dh3pexpMKFVChQ+uCgwVXLbbbfx6utv8eA/V6M3/G/lonxXWkdRmwlPdxMtb92C5LKhjEpBnzMRXe4kNElDEMTeC44s+ZBcdgwKmTE52eTFhNNotrOjsYNuRy9xGZ8WQVmLmaQwA7IMXQ4X3Q430iBft0idSLej/2TN3SfkcdWsnN/kZHX/F3t5d2uvYd6BxxYjCvBDcQtJEVrGpPlbjm6vxDO/lANw/dwcftnXSlWHldNGJ5MeM/i4sNHuZswjP3PoO5yUEcFHV08L/P7R9jru+6IoIJa+ckYmO2q7Kao34h7kbKRXgleCUJ0KrUqBQhSZkhXF3YsLiAxR4/T4eGVdJX/7uQKAjEgdeq2KG+Zms3jEwNoPo82fWG3Q9ReVHpqS/VvgvFe2sLmqE71awcrbZhN/SDjljtouvtjVyE3zcgYcZ/+1OPHZdZQ0W9AoBfb/cclht62urqazs5Px48fT3t7OFTfdSciEZUTGJbKvoQtBoaCyo7cyaS1aiS57PGHh4SxwbcTY1sSbb7454L4PTls999xz3HrrrbjdbkRR5Pvvv2f48OFER0djs9mIjY09fnE+AurbHXy3o50TxsaQEf/ryfV/O47W2fd4ReY/BKupi4eu9FcwrrjiCoYOHcott9xCQmrOER756yEIAsuufIC/3b6MP//5z9x3331B9+vUSnbctwCn18cXuxpweHx4fP7JHbPDS6vZCYDHJ2NyeAJE5sYbb+S1117nnWfu4Mr7Xv6fOgnFGHTQZkIVmUTydW/hrN2Do2Ir1pJVmLd9jqgLQxESieSyIblsyG7/SXzkpPlMmv0Pqo12hsSGMS45mgOdZprMdgwaFRmRIcxNTwnKQTG7PHywpyqI8ByEcQASA/DnH8uZNySObruH4Unh6LW/fpKjuiM4KDL//h949ORhLJ+SEXS7WimyaFgCXknm5g92s6LUnw/1zC8H+Oa6aYxIjRhw/6FaFTF6kXZ78HsZkdpb1TnQZuWj7XV4ezZRirCmvINmo21QEgMEYh86bR5GpuiwuXxsqe5ie20nC4cmolUpuGFeHsOSw9CrFEiy/7iPyxi8ohQxyKg4HJ7AmB0e2ixOMqNDuP2TQgoSQrmyj8nfYDh/UhqV7VbGp0cSF9q/6vrx9npqO+2sKmvnnAGSzH8t0qN1lDRbCD8K88PMzMxAZlNsbCwX3v4I/1hbhd7rY0hyFO0WF102Lz6fD7NbwjDCnxFm88DXB1zkRfmrO83NzRQWFjJ37lw0Gg333HMPcXFx3HLLLSxdupSEhAREUcTr9XLNNddw3nnnMXToUC644AKefvppbr75Zv9+bbZ/i0/N/zpSYrSkxmjZUNpNcrQW1W/kSfW/iuNE5j+E+qp9gZ9Xr1nLqlWrSErPY9Lc0/+tz5s1ZCwLz7yWhx56iBNOOIFx48YF3a9VKzA6POypNyFJMmqFwLDkUKblRHPOhFTWlrczOy+WSK0Sh8uLTqMkPT2dN998g9NOO42v3vorp1x0x/8MmRmVEMnGqhbcgKjSos+ZhD5nEpEeJ7aS1Zi3fIqno7bf46r2baPNaeSrfS2IgkBBXDjjk2MYlxyD1eUhJUpHQZKB/OQQBFHkmre3MyQ6mnNHZfFlSS0I/lFij8+FTqOitss54OuTgefXVFHcYGRyZjSPHzJqfSy4bk4Ou2q24ejpavlk+OP3pf2IDMCo1Ag8Hl+AxBzE07/s5/VLJg24f4Uo8NiyMdzw3k5cPURlXEoIl0/LCJgHPvVTKbvqTIHHTMmKoqLdTohagdk1MJnrCwHQqZTIst/R2HKI+d3cIb1tko+21fDK+gNcMCWTuUOObSJrMEiSzJn/2ESzycFJIxL4orCZL2nm4unZR5zaWjwyicUjg6tDXTYXLSYnBYlh3Dw/l5WlrZw6euAK0q/FS+dPoN3sJNpw7J5Fb2+uo93iIlSjJNogEh+uJSZUg0ohsLGijU577/FPnrSEacP8ouoVK1Zw8cUXY7FY0Gg0mM1m8vLyAMjKyiIrKwsApVJJSUkJbrcbh8PBzJkzA7EKra2tZGRk8O233zJv3uFDVX9vEASB6UMj+WRDC++sbmTuyOj/05WZI+E4kfkPoWDMdJ54dxsVRduoKN5KXcUezrj0LsR/MePmaHDi8pso3bWW5eedT+HuXeh0wWXsNouTum47aoUCUYT4UC06tZKb5vvbHB1WJ/OeXovLI/HDzTOINmg59dRTefLJJ7n99tsRRZHZJ1+M1+PG63bh6fnX63Gh0mhJSMlBrf3tSuf/CrQqJddMKWDlvv3sXfUp1oYybG21uLubA+aACkM0qpg0QuLSGD58BBcvnc7yE+egVquZN7KVWz/cTXGrkeJWI0oBzhifwrkzcoNE0q9eMoH7Pt9LBAYuHNtbdctM0vLQd3sP+xpzY0Oo67AxLKV/266q1UJ4iJJow5GP59ScWHb8YRGVHWZOeWEzMjAhPWLAbTusLuQBTOQ0KgWyLLOnwYjJ4WFyVnRgdLzL5uS6d3ZyUA6rBKo7HUx+YjWhaoFnzhlLvTGYsOUlhLGrpgvVABwgTCNgdgWXaaINalrMDrw+mUi9msxBNCuF9d3c9bk/A2j1/k6ump7KPUt7SWCH1cXeBiNj0yIHNCVs7HbQbXMxPGXg4wOQG28gVKMgxqBGpRCo77JT32Wnxexkak40CUfRHnrkmxIau53cs6SAsemRXDDl35NgHRv260IXL52Wwbrydi6ZnklDt4MWk4MQjZJhSeHcMDeXWz7aTZvZyaXTM7l4aibansDSCy64gDlz5uAV1exrMnPx7Y9idnpYXdZKh9UFCHy+o47NNUai9Qp2/GERUVFRrF3bK4DX6XTce++9TJ7sN3s0m82HbS/83hAeouKM6Qn8UtjBvnrr75rIHNfI/E7RXFfOEzedxFVXXsFzzz0XdF+n1cXzqyrYcKCTmBAVyyelc3Ifo7Mr3t7O+v1tiCJMyY7jkVOHkRzh/xL99a9/5c477zzscwuCQHxyBglpeSSl5/v/y8gnOj4VpVL1/4XMHYSpq42VX7zK+u/fAWSmTJ2GJzSJMlc4yug0MnNymTwkHQGZuDAtp4xOZkii/2QqyzKvbahkVWk7EzMjUSoUTMuOYWRqRMBE7yCajHZOfmEjbq+PJ5eNYXRaBOWNNoprrRgdLoxOD2qFyI7GTva1GYMeW/jAAtRKEbVCDEwqebw+pjz+Mx09K+Ivr57E6IwYwD8ya7S7yYgJGXTirN3ipMPqIi8+rN9r3ddk5LK3dqAURSZnRvDJrmYAdCKsvGMOoihyz+d7qWjuYmRqFM8tH49SIXLLh7v5orBp0GOtBCbnRLHhQBcAY1PDKKw39xM5H0R6pI7aQ0arZ+bGUNNhoa7bb8ZX9siiwMWzLyY/9iMtluBqTWKoGofHyy+3zaaw3syGAx3MK4hjRs/Y+EHIsswlb2zH7PTw0nljSQgPJiQHW0vZsb1i1e01XXyyvY6PdzYGtrtlfi43zc8b9HgAPPXzfkqbzTywdBipUb/9hcjj9TH6kZ9wumV+uW06mbH/fzRshXXdvL25li67C69PZn+LhS6bG0mmn4YK4P3LJzI1J3aAe/xobW1l0qRJrFu3jrS0367t9n8B60u6aOpycfaM/1u5d3BcI3McR0BiWh6nXHw3zz//ECeddBILFiwI3Bdt0LBsbArZcQZy40IZlx6sMxgSH4rTIyHLMl02NxUtVpLCdQiCwB133MHESZNZvfcAeq2e8Vlx6PU6NBoNWq0Wk8lESUkJxcXFFBUVsWPVx7S1tgTtXxAElCo1CqUSpUKFUqVCoVSiUKgwhEcTn5pDQmoOiWm5JKTmEh2fcsy26F3tTfz82cts+ulD1CoVt95yMzfffDNGSct3e5tJiNASHaJhRHI4Hq/Ele/s4OvCJj7cXs97l09kaFIEVe1W/vidf4S3tsvGxrvnD/p8HRYXFocHSQa710NcuIbYMDUV7SYqGy3oVEoElCzJT6bV6qDT3uuaO+tPP7NgRBKhWhXjM6KYlBXNnnpjgMQAfF/cwuiMGCrbLFz65naMdjdXzMzm2tn+6k9frU6b2clH2+tQiAIJYToiD9GKlLda6bC6EfCPI187N4+Gbgfj06PQqRVYnB4iQ9Q0mH00lLQzekM1V87KJlx7eALqBTYf6EIjgk4jsqvePOi2QxMMdNuDze7iQ5Q8sWwkN76/I0BkHB5fPyLz4bbafiQGoNni1ybN/9tqvLLIqWOSGNmn4tLQZUerVhBj0DA6NYJmk3PAak2YTkVYH4Gw0e7mq8JGDrQFv5/nV1Zw0qgkMqJDEISBdTe3zM/z+xQdxuDM45OwOL1E6lXH3LJttbiw9YiPPt/ZxG0n/DoiI0kyO2u72HCgE5PTw7i0CGbkxg54fNrMTp74oYzyVgtWlwf3UURfDT3CZJ5Wq2XGjBn/My3r/5/otnqINPy+L+W/73f/O8fsky6ieNsvXHTRxRQXFxEV1WuX/+H2elweHycMSwxa1T/85S7e2NJMbrSaN6+YxourDnDXp4WkxRh46byxxIZqKfLE8WaD/6T++PBMlk/OCHreg6Xig+jo6KCkpIT6+no8Hg9ut7vfv263G6fLTVtrC8Ul+/hp0/fYbX7xqkqtITEth7jkbBJTc0hIyyUxLYfYxAyUKjUVHUa+27YLS0Mp4eY6nE1l1B0oJiw0jPvvu5frr7+eyEg/Waur6cLtk8iONQTiA/bUG2m3OPD06DLu+qyIb26YgVbV+/U5NOna65UQRQIEa3hyBLefkM9ffyjj4a9LOKFHTPvO9lqqekS4CkHgyol5nFKQypb6diwuL26fD6fXx+e7mojUKylpMrOnwciysSmMSw1jZw8ZuHVBPj6fn3DVdvmrGB/vqOPJFf7po1cuGMOCYX7txb2f7+WXMn9GT2W7lb8dkt48Ky+OU0YnoRZFxmVGEaZVkdlnWsns9HLSyER+KmrC6ZEZnea/CN28cAhf72mgyzF4kdcH+CRwDSJuBtCrRLrsHvRqJQ8uHUqEzn+cp+XFEheq5Z3LpnDG3zcwPj2CyAFSqzcOEOQYphFxeSRcEji9Mk6vj82VXYG/2yNfFfH65jpE4NWLxnPzgsErKa1mB5/tbORAq5lQnQqdSkmz0cGeekvQdmqlwMp9zfx1RQUhagWfXzuVmFAtOqUCZY+eRhAEFIe5Nru8Pm54fxc7a7q5dFoG1807fIXnUCRH6JiWFUGj0cnVs7OP6bF98fO+Fv7yUxm1nXYkCT7eLnLGmBTuWlIQ5B4tSTKf7WrA5vYRFaKm6wi+O2EakatmZR9WeG20OTjlHzvoylzOjjaZpCRfIAPt9w6PV6LD7GZU5u+75XacyPyOIYoiF9zyJI9fv5gTT1zKihU/ERoayje763lvax0A49IjOHdSRuAxb2zxtxkqOt0khetYW95Om9VDp93IipIWzpucwb6W3hN6RZv1iK8jJiaGWbNmAfDol4W8s6ORs8am8MipIxFFAZfHx5A//IgswnknJ/HWW2OQZZnaunom3fEmns4G4lTdqK0trP/uTYzd/taFQqEkNjGd9u5OfDYjAG0RiSyYPZ27br6a5cuXExra2yr1+ST+9P0+9jaaQPIFiMzQpDCun5fPn78vwe2F08b4CUFypI4vr5lCYYOR0/tk8xxoM3PxGzvIjNYHwhxFUeDMcak8+3M5XklGAspaLD16gZ7nl2W+2lfH3OxETi4ILp+3Whz8UN5IUYMRjVLBKn0bn147HUEQcHp82N0+1LKPDot/fwqgro+A+KGv97FgWJI/sbq992+yq7qdQxEZoubJM0cHfv9+bxNKUWTh8ATaLS5mPLEKCYjTi2y9byGGnmmYCL2aH2+Zw4w/rcJ1xIY1KAW/0eChtyWEaRiaFMHp45KZkx/XbxWu0yj57ubZg+73iWUjmZYTw4KCeGSg0WgnPkwXaBHtrGnnrz9V8OgpvYGJ7233j6VL+E395hYMLA5u7LIz96+rj/j+CuJDWDgskVc21OD2ybgdXs78xyZEwR+L8NFVUw+/gx50WN1sqerC4vTyRWET187NPaaqhCAIvHfltCNveBiYnR4+2FZHdYcdqed9290Snxc2csLIRKZmxwS2re2yU95qYXx6JF5JoqHbxuFSJOYPTeCSaYfXBZ3ywiZqu/2f5ev/8QP3rH+GDz/8gNGjR/9L7+v/AnZWmvFJkJv0+57sOk5k/gfh83kp2bGG4u2rMYRFYgiPxhAWSXhUHNlDx6NUHf10QmRMItc98hbP3bucE09cyo8//kBxUy8RKWk0BW0/OimEwiYbeqX/JJkRHUKb2YVeoyCrxxjt9oVDqGixohThihlZAz5vTbuF6k4HM3NjgjKdXtvi1xi8u62BGxfkExeqpcnoDPTVP9nexGPLxiAIAikpKeiyxqHLGseQrHA2VZkInw4Gu4lodysXFKjYU1TCV/u60CQNQZOUj0IfzmVnjmTZuNR+r6nD6mZ3vQmfDB/tbOTOJcMAfyLyxVMzuHhqRr/HjE6PYnR6cPCjT/LrLLySjNsrUdpsJlynIiMmhNV3zEZERK9WEqpV9ctMabI4eLewCr1KgUapQKNQYNAomZERzzkjM3lucyntZjvlrRpqO+2IAtzzWSEN3Q6WT87kujk5fLarkTPGJfPVLn8OEsDUHH+CsyAIXD83l9s+8QuM3b7+F8Wihi60SiW5CWE8+VMZL6yuBGBOXjQLhiYENC1tdgmfLNNicuLw+MiI1rPpQMdRkRgAjVJE8kiB/T13zmh/zIHgJ2I2j2/Ai/b9n+zi3Z1+Qr35jpkkRgfr9kI0Ks6Z2GuCFxPqF7p6fRIKUWBcRiwfXhWsx5iQFs6GKiMAC4YOPuH04pqKI76/SZmRROrVmF1epmVH8UWhv3UaplfRZfEckztwXKiGxcPj2Xigk8umZfxHWitdVjfNJmeAxByEyyvRYQ22EjjQZsXh9pEaqUQQBM6ekM5PJS20mF0MhPXl7TSZXOTEDW4r0GnrfQ5RF8rkqdOO62QAo83D3mozY7PDCdP/vi/lv+93/z+KiqIt/P3hy4iMikKn09PZ0Y7L5T9RhIZHMn7WqSw590YM4UeXrJyRN4rrHn6TFx64kJNPPpl3P/qczZUd+CS4ddGQoG2/vHF20O8vLB/LN3ubyI4xMKVnZZYSqcPj9VLR7eL+Lwp5/dLg1afHJ3HaS5uwOL3cvWQIl8/oLXnrlODoWcHF9LQN0qP1RGkFupwyf1jaW1pXKkR+vHEqX+9u4qX1NYHbFfpwiIykOTERfdRkhmR00Gr1N+oVwNj0gY9LbKia2fkxbK7q4vJDVontFie/7GsjNz6E8RnRhz2e+QlhrLx1FmqlyA/FLXxX1Ey4TsW1s3OCBJ25cQZGpISzrryjnwDS7vGRFav3k0orWFweLhmXS3KYjooOO0lRBjptLnbWdLO5yogEvLWpii+vn8GVPYnXl03P5u3NVUTo1MweEseK4iYKksJZNi6Vz3Y2UFhv5Ikzgse5ixq6WPb3LYgirLljDrtruwL3rS7vZHV5JxmRKuq7Pdy9OItum4t7Pi/C5PBw9+IhrC3vX+EZDNlxIUzKjCElSkdOnIGp2TEIgkC7xcmYx1YiAxdMSuHR00YFPe4giQG4/5t9vHbxwOPgffFNYRP3fLGX6BA1L50/lvgwHTF98sRev2QyayvaCNWomJQ1+N/X5hpc8KFRCpwwPIHxGVH8c20VW6s7uXpWNqvm5aFXK4gO0VDUaBowA2swqBQiTywbhcsrBXybfku4vD6cbolw/eBE4tvd9exv7V9ZDVEriDikper2SoA/0fwgmR+XHsl3RS39Hg/QbvOwrbqTnLjBjRYfOnkot39aDMCQ9HjeuPUVBEGgrrGZe95dR1RKDtfPyyUnLjSgNbI4Pby3uZbKdiujUsI5b8p/hgT+uyDLMhtLuwnRKhiddXwA5ziR+R9EU005Go2G9rY2FAr/OKzdbufAgQO8++67vPT3vyOKImdc+cBR7zN72ASuefB1XnzwYi67cDlffvkFKlXvSaq63co/1lbik2Sunp1NTlzvl2d9RTtlzWam5fqJzJbKDmp6xJiryruxOD2E9jFyEwUBvVaJxeXl7U3VPYF2sRgdHl69aCI3f1TIlOzogEBVFAV2PbSEB78q5p2tjcgo+Hh3A9E6NdnxBl7f2N/nxeiSWFPeDjL89cwxfF/UjNXl4/LpmWTGDFyGFUWx30XR7PRgtLo45+XNNFncKIA/nTGCs8YffkWoUSm4/aNdfF7YQmSIiqnZMVgOqbGLosAflg7jrk/3UFhvDAqjTI3U0mHpndhptTqxu72cXJCGw+MlTKPil92d/FDaGKhoROhUhPQRvoqiwMXTspEkmelPrKTJ7EIlwtb7FvD+lVMGft1KJYIIIgImu5uNVd39tqnp9lcUHvuhiv2tTvY2mFCIUNtpp9F4+DyqwPOIcPfioUzNiel3X3mLJUDs1lb017vMyI5gfaURgFvn9zeQ3F3XRUOXg6WjkgIXry8KG7G6fFhdDk58biNapcCX100LxD+oVQoWDD3y1Mf5k9L4ak/zgPcpZJmvCpv5obAZSYRYg4ZpOTFBOVODkejDQRCEfwuJWbu/mYve2IVShB9unEFuQn+dhdsr8eTKyn63a5Ui84fGM/IQSwClAooautlW3UGMQYPN7SP1CMStuMEEh+GiZ4xPZ+moFFweiTCdMvA3HXviBZgbKki89HnWlbdw55LhnDkuFUmWOOtvX1Nq0SL7PLz9WREldQt47KxJQaL3/2XUtDqob3eyaEzMoJlrvyccJzL/g2iuK0er1XLeeedxoLISr8d/gUxKSuSyyy7jl19+oamm7Ah76Y+8kVO49K4X+Mcjl7N+/Xrmzp0buO/VDVV8vKMBgJImE4uGJHDTojyUCoEQtTJ4ZdZn5aNVgO6Qk7BCFFhx8ywe+LKI7TXd7KzrZmtNJ9Xtdu48IZ/t9y9gILRbHVjdHv76S3nACG3tgc4Bt52ZE0mnzUuLycnH2+tYNi6V+UMTBtwWoNvu5pd9reTEhjAkMZxGo536TivXvbcLl5dAmKMP+H5v8xGJTKfNzWc9LYUum4eJGZHkxfdfdebEGXjv8kmsLGtjXXk7Hp+PGdmx7Gow8u2ehqBtPyqqZnh8JCqFSHmHmeyoUE4dns7buyqxOFwUJEbg8kocqn/1SBLtPVocjwQmu5uoHnHlvsZuTnp+E7EhsPHexeQlhPHCuaMprDNRfRT6pk939Y5bv7GhismZkWyrMQZuy4/TkRYTSm5MCC+tqw7cfuWM9AFJDMCU7BhGJYdR12XnH8vH9rv/nSum4fL4UIpCUFsS/CvV2z7eg83lISMmBJ1aSXq0npvmZVPbaaOhy4bL5xf8bqnqOuYcqwlZMbx58Vhu+7iIzp4WkUYB49Ij2dRD+twAEhi0KoYnRwQe225xcaDNSrhORUFib0aOT5LptLkIUSuDhLP/bry/qQbwRz8seGY9n187mbFpwdWoQ4sYi4bEgKhgfEYkJ45MIkKvpt3iYlddN0MTw3h/Sx2NJv9nrcvuJS5UTYxBg0r0f/YOhQjMH3Zks0KtShFE5jqtLnSzLkdjNyKICkwu+LG4hdRIPa//7WE2bN5P1OKb8HTU0fbxA7yj1jF9aBrjMiJRiyJRht8+z+7/FywOL2uKu8iI05ER/9/hx/WfxnEi8z8IbUgoKNQUltYRnZBNSI8mZl95IWeccQZKlZqZJ17wq/adM2wCAEajMeh2vw+tH6UtVspaDjApN5op2TE8c07w1MvIlAhumZeD2enhkumZPPptMfuarPzt7NGk9bRWQjRKHj5lGOsrOpmZG8NnuxvptLiJ0A2u73nqrLHUdtpY9Mz6I76PJpOLxm4nLq/EyrI2SpstKESROUPiBtz+6nd2sq26C71aQXqkmn2tg1cW8uMNrChuZktVJ/cuGUJDt5NbPi5EqxR55pwxxIfr0KsUgVBCgCUjEoNWTn9fXcFH2+t5YtkIJmfHcuLIJE7scX01293c/ulefPhP9GFqMOjUNJqcbHO3YemZZ93W0MEFY7I5c0Q6nxTVsr6ijT99L3Dz/Nyg9oXkk4jQqWi3eZiYHsa+JjNVHTayYg0seX4TAC02uPezXZw6NoOr39mNT/ZfoEcladnTNLDr8KGo6nSgFAXOGZ9CXbeNq2dlMzOv9yIVHabm1fU13LEwj9PHDU4ERVHgqxtmHPa5NINUKARBYFpODGXNZt7dWufPD8uI4rxJ6ay8bTYfbK3hwa/3Ea5VsvAwxPZwmD0kke33J7CztpviJpM/zVqlYG+jCWuPO7FaIZARpeWmD3Zz9oQUhiSGM+/xXzD3fCDeu3wS03JicHl9vL6hmi93N5AepeeOEwoCIa7/buxqDCaqD321j68POe4qhcjTy0bwwJdFnD81lTsWj8Any0GTjJsrO/h0ZwOzh8RR2hI8gh6pV5MdZ+DckDTe3lIXdF+ISuSGebnMyhv4OzkYfJLM90VNaHWheHShyD4vnT8+z7YhYxifdjlS4kjUyQoEQUAVl0nSFS+jCIvj45+3cOVn75Cx9BrOnpROQWI48wvij9hyWrlyJc3NzZx//vnH9Dr/HfBJMj/v7kClFJgzMvr/VLvsX8FxIvM/iGWX3ceyy+7rd7ssy7Q2VhEVm4xa8+ucPA867lqt/pPcXZ8WsrKsnXsW5sOkNOxuDytKWhBFkcwY/8XS7vaiFMWARXtVh40D7TbOn5yG2enlrc3+iZCXV5Xz2BmjA89l0KpZPCIRWZbJjQtFKQpY3V4GW59pVQryE8ICBCFULTI2LZy1B/q3Pw602wM/u33QZHTyU0nLoESmsduODNjdvgFJTGaUhpGpUaRH6bl+bi6jHl6B2ycRplOxsrSVoh6B9HmvbuG+JUOZUxDPFVMS+edmfxtiVVkbp45JCRyjLwubaDU7+XhHI5Ozg4Wnr6yrClSAJCAjPpy4UA058RKSJLOupwrl9kl8WlzDmcMzuHhcNj+WN/HJzgbWlrfxj/PHkRypRykKPPFDCe02f/VAoVDybVEzkiyjPyR9WatU8u2epkCLy+WDxIgwzhifxZ9/LMPulgjRKLhnSQGfbK9ld0PwuDGALMCjp43AJ8loVQq6rC5EQcCgUTI0PpRTR8azePi/17jr0VNH8PH2Ol5ee4DkCD1FjSZMDr/3zbmTMnr+DorDerccCaIoMCEzigmZ/lbR+op2lo1LZcnwBGwuHw6Pj26bmxX7WilpMqNTKwMkBmBtWRvTcmIobbbw8ppKjE4v+1ttZMWFcvfigqN6DZIkD+pPczS4dGo6f15REfg9Pnzgc8ZpE9I4bUIv8RQJfr4hiWFMzIxidGoE03Ni+Hx3b5UuQq/C7vaiG8C00OaR8Hol5jy5ipRIHe9fcfhJLrfHx6kvbvDHOlh6BdOS24GoNWAkhM92N1LnTCZ0lN/AUxBEVFHJqAUIV9np3L8NRi7l0e1r8HTUcftd93D/0mFs376dnJwcIiMj2bdvH08//TRPPfUUoaGhvPrqq6hUKs4//3xKS0v505/+xN///vf/SAbU1v1GOsxuTpkcj2YgO+zfKY4Tmf9DEASBhJRf7xUBoFSqUSiU2Ho8Wlbvb8dkd7OuqoNnzvZPC/l6xhcUokBJk5HzXtlKmE7FL7fORq0UeWN9FT+XtmF3+/jLGSOJD1XRbfeSn2igusNGSqQuaEXXZnHxxe4GWkwuGrrtjEgOJypEM6jocss9fhHqnIJEqtqtrH1uQ+8xALJidDR1OwKZQgCyIOPy+LC7POg1/YWN9y4p4Kmfy8mKDWF3TRt9eBAABYnhPHtub5sjPyGUqg4rc/NjWV3Wm0d0oN3OJW/t4OmzRgRIDMCDX5fw9qYanj9vHJkxITxzzmg+3FrPLQv6azxy4oNPkO1mFxdMSidcryYvwcBffyjhmyK/qNbk9PDWrkoW5SVxckEqaeEh/FLZxI0f7mZSZjRWl5fajl7CMTI5DI8ErWYnbSYn2VEaKrtc5MUqeei0UZz9j43Bx7qqg8tnZPPc8rG4PD7GpkeiVyuJ1qu58f1dgQkeJZAWrePPp4/k6Z/Lsbq85MSG8ODX+/oJmb8sbGbDPQtoMjrQqUS+KmzG7vFy5YwsNCoFFc0mnlixn0dPGUZSxOAXC7PTw9aqLnySzMTMqEC7DKC0yURlh4OqDgfXzc7CoFX2RCuYqO+yY9AomZgZdcytHK9PotHoQBQEkiN0Ac3F9JwYRiZHBGk4ZFlmRm40Hgm2VHUF7WdIor/NKAT+R8/vR0dKPt9Zx52fFhEfpmHNnXMHdXA+HK6Zm8eQ5DAe/aaU1Agdz549+pj3AZAXH0peTxVpZLKfdO+q7WZESgSiKFDbaaOq3UaEVoHxkGyskmYTLSYXXdYjT3J5JQmT00PHIdsqdKFEzbsCgIau3kWIRgEnjkwiNVJHfmIYE9Oj2G6NoNnsxlG+GU9bNe9sruH2RfksXryY22+/nbvvvhuHw8Hu3bvp6uoiNDSU1157LRDj0tjYSEVFBV7vYWbK/02obrWzt8bC1III4iP+d1tj/w4cJzLHEQRBENDo9AEi88yZI7n49R18VdjMT3ua2Xr/fMJ7RBgrilt46pf92FxeBHoJTmSIxq+d0ShQCXDepFRUSiU7ak1sqzEzOi2C8yenB3reWpWCUI0Kk9rDnnojr6yvRikKvHTeWOYMEPYXH67nhJH+atDLa6uC7lMo4Lo5uXyxu4H1B3ovHhE6FevL2xn58AoeP20EZ00Ibm0sGZnEkp7WTn2XndJmEyoBLn17Fyrg0dOCp3u+vH564Ofnzh3DrR8VsrO+d1R9VVk70Tro7DmvOjwSxc0W3t9Sy31Lh1KQGM7Dp/bXZ/gkGYdHJj1CTaPRDQLY3B40SpF5BX5PlefPm8iDVhe767p5bX01W6q7+LasgTqjjQU5SeTGhLK/w4QoC1S1W0EWmZoZxcjUcOq7HVR32LC7fSgEAUkQiQ/ToNNoaDQ6glJ01SJEGbSc+fLmABmJVILJB6IAc/JjSIrQs722m1iDhpfOH8uPxS0U1htBlilqMA5oR99i8fD6hkq2VHWjVAiUNJoQkJF9MrIAL62uwOWD4oZNbL1vYL0U+NOiX1tfhSTLnDcpnevm5gaqLKeMTub97fUYNEp217Rz0jMtxEXo8Xh91HY5iA3VcOLIRC6ZlnnUJMDl9fH8ygo+2FqDSiFw5axchiQYiDFocPvgy12NRBlUnDUhjRiDBkEQaDS6+Hx3IxaHhylZUTg9PsZnRHJCT1VqSGIo18zO4cvCBlLDdUTqVdhdXvRHIFivrK/CK0OjyUWr2UnKMUxC9cWc/ATm5Ccw/tGfGPHgCj69eiJjMgaPCjgSlAqRu5f0+vO4vD6mPbGq35j2QVS0WblpXu6A+rFDoVUpGRqnp9E48Cg3gE7lT+IGGJIYzp0nFJDQU2m64JVNNJv9ryNs4mnAaYiigIDA1q1bAwR03Lhx7NixI7BPvV6PLMvUdVqYN28e8+bNQxAEdu/ezc0338x7771HSkoKRqMRvV6PWn14+4vaThu1nXaGJIQSd5QZWGa7l9V7O8mM1zEi/fiU0qE4TmSOox80Wn2gtaRQKjh4CnLK8Pe1B7i7x1+lsN6IAJw4IpFr5+Sg62lVzB8aT1WHlXkF8Uz58ypsbgm9SkCWBSRZxuxwMyI5PFBxCdepuGJmFk0mB6+tr8InyciSTF2n/dCX1g+ry4PTmdUCxIdpefLM0Vz3/i5aTU7C9WqWjkzi7U1VIPsThw+H1Ch9YEy6+okTg+57f0slj3xVxvKJifzhVL82SBRFnj5nNBe+tpmaLv/RunhqBk+eNZqiRhOvrK3kp31tCPhHyQ+H8lYLX+yup9bYc9RlMDp8vLW5hnGZUST2mLqV1HXy2DelnDYmkZ21XXgk2NvSTb3JxpjEKIbFRxCiVpFh8Oc++SSJbfXtrKtuQ6fyk05RENCoFNidXlrNLq55ZxtPLBvNHZ/sRUImKyaEzeWtQWSku2chKsnwc1kH41IMGB1euu1uXl5zgJX72ylrsuAD9CoBBb1C6YOQgRdWVxIdokIQRNIi9VS1dfPUSn+b42BNIiMmBFmWAxcYr9eH1eUlIkSDT5Kp6bDRbXcjA3VdNpweX6DCMjo9ip33L2D8oyvYWOO/spW121EI/tTvZpOTpAgdi4Y5SI8+uhZBcaOZv6+uDLyfJ74tDXw3JqeHsa3WjEoBiRF6ThuTjNXl5aeSFiRJJiFcS3yYlhUlzbyy3sTPJa2suXMuGqWCK2ZksWxcCm9tqmbFvha67O4jtpfuXzKUK9/dSX6CIfCZ+FdgdUv48GvLxhxx66OHWiHSNQiJUQAhaiXXzc09qn19vrOOn8v7t5EPIkQBl8/IYU15OzqVgitmZgVIDMDGyv6PvXxGNhqVguzsw1eyr31vJ6v3tzMlK4o3etLfJUkiLi6OuDh/u/qSSy7B6XTyww8/IEkSp59+OrfccguzZs2io6ODjo4OpND4gC5NL8L6e+cTfQThsU+S+bmwA41KZPaI47qYgXCcyBxHP2j7VGTe3Bhc8Thoegdw26J8Th6dSO4hwYMz82KZmedf1T33SzmVHXZC1Eq67B5kwOHx4vIGjzAkhGtJCNeSvHQobq+PyBAN5046sunVwycN442N1eTEhfDZ7mbsXvhubxOPLxvFp9dMw+n2oVQIKBUiF05O45/rq9jTYKawvpvRqcEZUp/vqOfrPY28cvHEAVfpNpeXe7/0T4O9vrWZC6bnUVRv5OaP94AAL58/mrhwPYlhusBKa3x6FFnLDJwwvBWtUsGcQRxjD+JAq5mt1cZ+t1e0Wth8oJPTx/kdhC9/dzceCZ5e5Z8EOqgb6na4WVPVwuqqFjIiDUTqNHTanQyNi2BCSix7W4x0Ow5eWGQcPSVytUKkzezjl6Jmvr5hOvXdDh74qpjuga9BAexssJIZpSVSr+K51cGfFbtncOc4k8OLAkiNDiE5Usem6t7qmQjMHRoHkr86lhbtJzQ59/8IwNIRcbxw3gTGZ0RS1GDEI0mMSYvqp/kpbjBySCcjYOomCvinno5BJ+PxSUGkrO+h2VJrRgEoBFD2XGjKmsxUtVsZkhjG3gYjkgSqnjyCvp9/URSIMWhYPDyB6g47i4YdWYQ8LS+OkkcWH/VrPxK23DWX+m4bI1KPfTx8MMiyTEWrOUCEr56ZweaqTvY2WNAoRaZnR3P/0qPTAwHUdw8uwM+IUPHCeRMZlhLORdMyUSmEIMsHgAgNdPVZw7x96YR+gaGHvv4NFR2E61XkxYWy6UAHuX1sJ8aNG8cnn3wS+P2uu+4KtJzsdjs+n4+DmcxffPEFV199Na+t3geAacunWLQGqjum9CMynRYHn+xsYGxaFBOzotlc1k2n2c2pU47rYgbDcSJzHP2g1vRWZOp7coAALpyUxpl9xo4VonDY8VWvT8Lt9Z/63V4fwxJD8clQkBQe6Kn7JBmpzxREfLiOVy6aeNSv9dSxKZw6NoU2i5NV+zuwOD24PD5OfWkDT54xkpy4Xm8MvVZFUqSe/S2WASN4/7piP3aXh693NbJsQn/nX+UhoTh6jZLvipv9Pi4yrNnfwWOnj+r3uKgQNaeN7b+/gdBlG5g5ODw+filtZc6QOCJD1MzJj2VFaa/53MLhcbSaXDjcPhq77VjdEtXdVqq7/X/HLoeb9AgDl4/Ppc5kCxx3rVJBlE6D4aBuSIZXfqpHEiTKmwcPdeyL6i4n1V1H3u5QeLxeLpmaEciaOggf8PM+f6XN7nZz8bQspvVJRi5p8r+upSOTyIkLRZb9mqW+K1W310dSlJ6hCXr29bgbC0B+ggFREIg1qJmWE0PSMVQz8uJDmZ0bzZoKv9i6b9ZVlE7k8pk5hOtVzMyPRZIkzn9tM04vmB1uShotHFRVZMfoee+KSawua+OTHfVcPj2TsRlRDE2K4IUBxs3/fyDCoCHiCJUBSZJ5+he//unORfkDCnj7YtmLG9jVYEYFnDMxhYXDEvlqTws6lYhKIbKn0cSD3+zjuXPGED5A+OShuHhaFs+u8nvaCMCaO2YRHaLGJwuEaXu1SVGD5DY5fb1zhBoRpufEHra68dKqcv768wEE4JOrJ3PLwvwBt/NJMtuqOil2x5IbH4okSRgMBr755pveY7FsGcOGDSMsPR44gM/SjuBzkxqlo7W1lfPOO4+XXnqJnxsE/tqTjwZwz4J8ZLea6UMjiQs/rosZDMeJzHH0g1qrC1RkxmZGU9xqx6AWeeS0Ece0H7dPorUn+8fplbhiVg4KUWBEcnig5Pve1lq67R4um56J4V/w0IgL1fLzrbOwOL1c8OoW2iwunl95IEigC3DW+FROH5M8oInUdXOyeW1DDaWtZtosTuJCg/vXGqWCVbfN5KvCRmblxhIfpuWGOdlsq+lGKQpcNuNfE1oDzCmI54kfS3Econ0URRG310ebxUVkiJp/XjQRh9vH31aUolcpuW5eLhqlgl/2tXLtu/7+ft/xb4vLw6s7yhmfHENCqA5R8BsT2txe6k02Ou1uuhwu1KJIpF7NjPR4lg5Jp7TNhN3jRaMUcfskSttMOL1HEWd8FLB4/MGKl0xJ4/UNVTjcEtEGNW19WhEbq4xsrPLrlP548hC+3tPMO5dNxuL0sKqsDb1away8uMA02EFc8+4uOqxO3r50KjqNgp21XagUIrEGDa0WFyEaJcOTwo7JIC0qRM2TZ4+hsL4blSgyJDGMtzdVcqDNyl0nFJDVhzRLkoRSFAEJl1eirzS0ssPO93tbWFfRzo7abnQqBWMzjq0S8u6WGt7dUsuioQmDXmB/a5gcHtaUteGRZL/GI3HwoEKry0tRD+H0AMOSwln+yube3CWPRIhKoKLVytrydk4enXzE548MUXPgscXUdNr4ZEcDb2+q4bIZ2SRFHB0ZPXFkIp/0+B65JCi493veumISk7NjkCSZRqODMK0q4HJc1ek/B8pAQ7eT8Rn991nfZeen4ib++P3+wG3Xzsri9kVDEEUBt1fimZ9LMajV1HXriTA28e0N06g5dwyj0yKID9NR2liDQqHAq9Dwzub9yF4PglJFvEFLt0lmbKaeYWlH1hD9niHIB2tfh4HZbCY8PJynPi1Gpz8uNPq/jhceuJD8tGg+++wz1u5v5oq3d+H2gUqAdXfNITHi6IWFPxQ18uKqA9y2MJc5BUn97n9jQzVmp4dLp2f2KwUPhH2N3Xy0vY5bFhYQMcgq7uPtdXyyo4G/njmCjJhj+7y+tOYAmw50kBSh5aGTh6M/wqoT/C0HAX4zh80tVZ18uL2WfQ1m2qwuBAFiDFomZ0Vz0/zcIGv9ilYLhfXdfLazgcQILdfOzuWuT/dQ3GRGqxTQqxVEhmipaLFwtHMWShEitBoW5SUTpdOgVykCFvltVidv7KwYUMT7axChVfD4spFc+95uwN9WGiwXu6aPXunuT/fw0Y4GRMFvYX/BlOBIiZs/3EWzycU/LxhLuP4/s5K1ODy0mB20mF385YcSipp6K08XTE5jzpA4PtlezxUzso6ZyJzywgaKG00kRehYd+ec31w3YXW6Mbu8JIbpgqawfixuweb2cvqYFGQI0iUdRE27lXNf3YLX66Pd5kUtgnuAP6pS9H+ur5+bw/mT0/tvMAAkSebC17awodJfAhyZFMqn105HFPyLpcMthtxeid113TzydTElLf5KZbga9jxyIh9sq+WdzXUkhGn407IRxIfpaLc4ufyNrTi8EtfNyeXk0clBx3lfk5lbP97N/hZr0PdBI8J3N88kJy6Up37ax3Orq4Nex41zs7l1YXD0y8H3NunEs9lbWMj0W17llKFp+PBy3aIs1L/TltJB7mEymQgLG5w4H6/IHEc/qDV6LBb/F31WfiIJYRrqul14ZHj822KeP//oWz+LRySzeMTgq60LpqTj7fEcGQyyLNNudaFWiCz7+2YcXpnSZgsfXzN9wO3PmpBGXryBxc+uR6NQ8NPNM4g/SvJ10ZQMSpvMdFjdtFtcpEcf+Svya0ZfD4fJWdEMSQilusPGgTYr+1vMSDKcPjY5iMS0mJw8+m0JGw50BrQfOqWCv509hoZuOy6Pj68Km4gP0zJ/aDx7641sre7E7ZUHJQvg13h02F28VxiseUmPCOHskZmcNzoLWfa3FmuNVtZWt/7q92p0+gIkBvyj8wc6+msh7l/Sm7ElyzJFTSZk/MLd0pb+fjZPn+2XrA50gZdl/+o7Uqdib72RF9cc4PwpGYFJot8KPsk/qj0pI5LLZ+Ty4FeFGJ2gEuHsCakMT45gbs9U3k8lzRjtHs6ecGRdGMBpY5KxubwsGpbwm5OYj7bWctcX/myjvGgdK+7wO3wLgsDiEf5j5HB7GffoCuwemSXDYnnx/AkcaLOiVoo4PT5cXglfT7T5gCRG8E8SGjQKhicfvbuyyytR0cdxurbLjtHu5h9r/ZWx2xflMzIlYsDHqpUik7KiyY0zBIhMpM7//d5Z202r2YnV6aG+y0F8mI4QjZJhKZHUdTnYUt3FvKEJaJUido+PUI2S8lYLZS393a89Ejh7bIyjD7XZBp5fVcmiYQkUNZmZlRdLQpiWkiYjJz+/CUfMRG6+5QQyhqcjiz6unpf5uyUxx4LjROY4+kGt1WO19XqgzBsSyxub/Xb5M/N//WjmQdR32TnQZiE5Uk9efCjKw8TIeH0St31cyDd7mlECESEqPD4PC45ga/7S6gM4PDIOj5eL39jGVzfM7Nd+GAghGiV/OGkonVb3UU2zFNZ1U9RoYtHweOJC+5e411W08vLaKs6ekMbJo45cPn/hl/38fV01I5LD+PCqqRQkhrG9uov9rRaGJ4UHWd53WF1UtduCUom9kkxmTAiZMSF4fRJVHTZ21HSTFRvC8JRwjA4Ple1WvD6/mZoogMPtT6AW8I9cx4Zq8Eg+WszB/a1ao41PimqYmh6Hxe1BlmFKWhxtViel7cEp6b8WZ45PpdPm5p89IaC3zs3mxkNWr4IgcPmMTP74TSl6jZIzxqb028/hLu6Z93wf+PlgBWhLVRdFDy1Cd5TtTUmSj9iWOv+1bdR02hABs8uHALxz6QQKEsNQKkR+KGpifEYUUSEa7vp0L15JZm5+HLFHMZJ78bRMzpmYxvaaLp79pZxum5us2BDmFcQfNpTy+6JmtlV3ceO8HKIGuMgCPL+yt01S3unA5fWhOeRLWtZsCYi5V5S009Dt4PUN1SgVArctzOe7G2dw92d7WVvem5UlAknhatySv3oZplVxzsRURqUcHZHpMju4/bO9pETqaLP4p9UmZUYTolFS12Wnw+qiyegYlMgcxMOnjkSnVmBxe7l38VD2NRrZVduNRikwOz820DLTqRQMTQrH45MZmhiGCCx5dh2V7TZunJvJ5Ox4ovRKuuzBtc7RyXpSInV8VdhIvdGJXgl9N5GBHbXddFrd1HbaWVfWxl1fFCPLEvMnTyUzK4UR6aFMKYhAPD6hdFQ4TmQOA8nnw9TdRnd7ExqdgcTUHETFbx/e9t8GjVZPd59Vzx9OGsnSUX431IFWTx9tq+VPP5RhdHiZnxvFq5cNHEgI/irCjL+sDvz+w03TKTiMYPjjbXWBkD430Gbz8ONN04+YkXPh1AxW72/HK4FBq+TMl9Zx4ZRMlk04cgk7LlTbTx8zENbub+WiN/x6lMe/LWH7/Qsx9GRO2ZweFj21moYeMtDY7QgiMk6PjxUlrYgCLBgWH7hQfFvUgs3to7DBhMfr11e0mJ2YHB6aTMGViq1VnTg9PpQQaBud1Oc5lAqRs8en4fHJFDWY0KpExqZHkBChoarNhtnhxSdJ2HqWzDJ+7UCD0UlyhJY5+aG0GF3Eh6hZ05Mj1FdADP4snqVDUokzaCltM9FmO7o4g8Gwo7ably+YQH23A5PdzRWz+xsGApw6OoVZefEoFQJhR9GSHAwBDngM14sxj/xEt93LDbMzue2Eof3uNzs8vLSmEp1SQKUQMPdcxWQgNSqEmFAtF7++lc2VneQnhvL19TMYkxaJ2ek54ijuQXh8Eh9uq2NLVRe17WbK2/yC5h+Lmrh6Ti4zcgcWsq7Z30ZDt4OyFgtTswd+rnMmp/HkCr+oViX4J9oOxZDEUELUIja3xOIR8YRpVUQZNGiVIlqVggi9mhOGxQcRmcumZ3L34iFUd9poMbvIjNYfVRK4JMn4ZJm7vihm1f4OVCK8dvEE3F4fVW1WljyzlsQIDVfOyGR2/pHjDsL1Kv7Ux2H8mZUV1Hba0asV3LYwP9CeEgSBcyemsWhYAlEhapqMDsrb/O3B19bXcMO8Al6+cAJn/mNz0P53Ndp5cVUFr2yoCdwWb1CjVQrUGl2kR2pYNjaFFrOL9Gg9t328G6UooF7/GkXrnZz/0ptMGxo8UXkch8fvnsi4XU7K926is62R7rYmutobMXY0Y+xooqu9BZ+vl0rr9AYy8keTkT+GzCFjyMwfgyH8txtX/G+BRqvHZu/1cBFFgXEZA7vsAjz1czlGh/84/VJx+PGVQy/GB9qsgxKZ1WWt3PtVSb/bT3lxI69dPJ7pOYOftKbnxrH/j0swOtwseWYtLRYPt31WHERkajpsrC5r47SxyYPqbQ6HVWW9U0MOHzzyXQljUyM5a0Iq17+3I0BiAFIjtDjcPjw+H2qlgn1NJr4vbkYh+P1SDhLEWxbk88SPpczNj0OlFAlXity6II+KNmu/eIWiRhOCKDAyNZQ99RY0Kvq9jzCdkkumZbB2vz+UstvmQSX6V5rRISqyYg3c/2XwMZbxk5kGo5MRyXpevHACX+5u5L5D/hYC8G1ZPeZMD6MTo3qqMw52NHZS3NodVCk6Ggj4Lx6iKPD388cPuI3R5uaEZ9dic/t465IJjE0P/lyuLmmixebinAkZg1ZlTsrT8k25n3C9fdk4Xltfy3mT0o66GnOQmGyrGdjT5KfiFn7Z10JmTAg7r57KmrJWbv1kL7NyYwI+Ql5JQsZfcQR445Kjb9cClDab2VHbzYFWMwc6er+rW6uNKJTVZMcaBiQJN83LpbzVyqTDaHKum5NPdoyBsiYTl8zMHfA46tRKih46AZdXCvhH3Tw/N0grdvq4VEI0Kr7d08DolAjyEsM56fl1IMCDJw0/KhIDMOrhH7G4JK6fkco6pUBWTAhzh8Tx3d4m/tIz4VPb7cTkOMApY/pX546EcyeksqGskXa7j7/8UMpjy3onDxWiQGyon/D1DcaV8X9OD03/Bn/lqS+JAeiwuvn8umnEh2nYVNHBO5triQ5VE2vQMDwhnLmZobSrTmZHbTOzhv3rVe/fG37XRKZ013o+fPE+2pprUSqVJCUnk5KSxviRuWRmzCc1NZW0tDRSU1Pp7Oxky5YtbNq0mc0rP+KHD58HICElk/S8MYyYOI9xM5f+h9/RbwNdSChtra10dnYSHT04gfH5JC54fQtqhYxG4c/mUR9hZZsSGdx+Kegz+dBhdrC9tps5+XFo1Ure2lh96MNRif4qgNd95KukKApEhWiYnRfDhzub0fd82t1eCYUo8OXuBvbUm4gIUXHaACdAh9vH3vpuVu1v44RhiYxJD14lLRoWz1ubawO/f7yjkY93NPLcygpazMGmezq1glNf2kBzj7390pFJZEaHIAgEmXYtGp7AouHBPiKj0yIZndZ/hXbD3FxGp0YwryCOZpMLvVrBsKTe41neauGTHfWMz4hixb5WWkxOrpyZTUqkjh01Xfx1xX6GJYVx0eRU3tpSP+AxLGq0M+3xFYQNQPRkQJZhTVUL66pbSI8wMDYpmsV5ycQbtPx8oLn/DgfBPYvyEEQF84cefkW9paqTlh531ve31gcRmW/2NHDDB3sA+MPn+1h9xyxSo/tPezx/6Tye7/P7jNxjC4/8/qapfL67mTsGmRZaOCyB8jYLs/PiEEWRuUMTKXzQry2p7bRx3xdFSD64dWEuJ408cruxL3bXdbN2fzstZgcWpyeIxID/ImpzegKaM4fLwx++KOKEYXHMH5FCcuSRqyCCILB4ZAqZcWE8+m0J3TYPU3NiGJoUxvDk8EAFTBSFAImB/loxjVLByaOTOXl0Mte8u4O//HwgcN817+5g/V3zjyoi4qDnzvjsWG4/sddhe+OB9qDtKlrseHwyauWRy2sHdXd6tZIx6VGMTo/jh5JWPt7ZEERkZFnG6vLi8UnIcu8koEL0v1dREBiXamBnvRUB2HH/PE57YSN1xuDKpA94a8MBZAS+3tMS8CN6Q7uJ0MY9jDztKlwF4/jw2szD6gWPY2D8zxCZg8NV/6qwTfL5qCzdyYYf3mPb6i+ZNWs23337JWNGjaDN4mLh0+soV4q8c+98ttV00mR0MmxYCqIoMHv27MBrqampYcuWLWzevJkNGzfx6hPXUVqyg+VXPYAo/m+LsybNPZ3VX73G8uXL+f7771H0aad5vD5KmkyMSo2k0+amsMdHY8Pd84g9inZMXKiWrffOo6bDRkK4NqBDcXp8jH98FQBaBZQ9diITM6MCnh0H8dqFYxmXGUPIAHlJg2Hh8CQKkiKZWxDHO5tr2FXbRXSIhpn5sUSEqJkzQDnaJ8ksfHoNTd1OJqSFMiQxrB+RmZoTy083T+fbPc08v7oycHvTISRGAJrNbirbrBz0QdtS3cn3N85EEHovAJIkc+Jz6zDaPXx+7dSg6bB/rCjmiVW16BWw9u75fLunkZJmMyE9U1UTM/uvsBu67dR12QnTqsiKCcHllRieHEZsqJbiRhOyJGN3eblpwRDWljZSYxpYAmx0g9F9eGc8Se5tO01MiWF2VgK7mrrotB/eRRlArYBv9jTy4MnDggwXB8KMvBjy4w2YHB6umhk8qVTd2tvy8gJ3fV7E+1cM3ub8tchPjOSexIFL/z6fj6KGbm5bkId2gIm3L3c3sLW6CwGYNSQuiFSsK2/jmz3NhOtVXDc7m8hDNCzdNjcvr6liW00nosCAhESlFumyu9nTYGTukHgmP74Ckws+LWxm+33RKEUF9d12wnWqw2rA3F6J69/bxYF2fytle20XU7L8FaULp2QEnK+PFrXtwZ5E3XYfdnf/iaeBsOO+BXTaXGTGBk8gzsqN4/1tDYHfhyYbAoaDB2F2ethZ201Nh40QtYLNVZ1sqGjH6fZg6flIf3PtZP54yjB21fl1K1n3fMe3101Bp1Ey52/rA/vKj9Pz6oVj+Xx3I3csHMK68jZ+3tfKOZOyuGCKwNd7mrC4vHxzw3ROeWEDNd3BZObzPcGi+JQwPaGNhWxY8SlPPXoHKQkZRzwWxzEw/quJjMvro8XioNFsx+7xIsugVYkkh4WQGKpDpzq6l+/zeako2srujd+zd/MKjF1tJCYl89prr/F8TRxnfNxIxJeN/HDrHEBGlv0+CDd9sBuHRyItSs+EzN6VnyAIZGZmkpmZybnnnsumA+2cft0f2PjNP/FajVxwy19RKH993/4/jai4ZC6543leeOBCHnjgAR577LHAfWf8YxMlTWaWDE/gueXjuHZ2FgCxoVpKGjq56I2dXDczk0tmDW47Hh/mt2vvC7u715vkoBvr3IJ4/tInnRdgXXkHM4cc/XSJLMtc8dZOfMAj3+4LJDsL+KcY7jhhyIDk2CfJ2FxeZGB6flyQvmVnTScrSpqZPzSRCZnRrNjX1u/xADNyonngpGEkR+i48PWtyD3rOY1S4MJJaby8thKTw8OtC/PQq5XUdlop6xnl/GB7Pbcu6F3xP7feX/mx++DtzTW8takac8+B+qWkiRW3ze13UZiUGY1WqSAjJqSf18ZpY1MYlxFJnEGDUiGi1enAFGxM92uxo7GT2VkJpEWE9CMyN85Op7TZys/7ewmq2wfFLTbO/Oc2Nt89l4RwLS0mJ7Ghmn4j7SEaFT/dMmvA571+fh4/ljQF0stPH33sU0iXvLKO1ZUWzhgZzZPLJwfdt2Z/K3/4spgzx6Vw4/yBqzFP/LCfLwobmJgZzUvnjet3/7CkCMK1SkRRZGif6tnW6k4ufn17YJpsS0UrX94wK+j9eyUZl9f/mRQEAZVCpCAhhNIW/99NADxeiW6bhw0VHczOi6OvuUab2cXnuxrZVt1JSqSOC6dmMSV74Iqr1emmrqu32uPqOQ/Wd9n5srCRa2dl02b1GzAmR+ow2t1Ut9tJjdKT3FN1tTq9lLWayY8PZVhSeFCqvAy0m22E6ZRIkv+8DgMvVMP06gErgguGJfDHU4by7pZa8uINPHrqqKDHm+weXttYxf4WCyqFSHW7jZIBTB4f+6GMD6+axpb7FpBzz3dIMjSZnFz5zu6g7dweH7Py45k31P+5+mx3I+WtVnySzPaaLhqNDl5bX82jp47go6un8uSK/Xy3txmnV+rXZk0TbZw1ahht2QnceuOlpCT835Mo/P/EfyWRkWWZyi4LVV0WrG4vguTD1VGHqfEALruZPZoQQkIjSIuLJS8pCUNYOLqQMFQqNcbOVowdzXR1NNPd3kRL/QGKt6/EYuwiJTWNSy8+n2XLlpE/YixtVjePPOtn3Ea3PyNlw11zUYoCGpWS3IRQ2kxOMmIOP72SERVCxqwzyExNYufbf8Rq7uLye/+OVvf/L+ZdlmWcXh9Or48OmwuvJBGhUxNv0CFLPkRRcUzVrIKxMzj5ojt5/PHHmThxIqeccgoA4VqVv6og+L+Z18/tHYs965/bsLklHv6hPIjI+HN9Dl9Ni9SrWDQkhpX7O7ivZ9R2d13/SZjvixq4/+SjN+bbUtUZKOP6+pxMZMDtG9zYTa0U+fbGmdR32RmfERWwsm8zO1n+yhZcPnhjUy3r7pyHTiUGmc8B5MbqeeXC8YFV+a0L8/nzD2W4vBKXT8/kpNFJ3Pd5Mc6e/CC9WklGjIGxqeGUt1opOCRE770rJrPspS2MTjZQWGcMkBiARrOHJqOD3PjeFassy9R0WokP0wxqGJYW5f98SpJMyCHl7MunZ/DqIX3+o0VymA5REPD4+ld43ttaS3y4gQiNiN0j9RvNNTvdXPz6Fva32YkJUbH9/gVBnxtZlvmhuJkmo4Mzx6cSruu9wImiyPe3zMXp8WFzeQd1eD0cVlf6R7k/3dvJk8t7b++yubjn0z00Wzy8sKZyQCKzpaqT8jYLSkGkIGFg/6L5Q+P5KHYqIpDZp/q0cl9r0Eh8cYudmnYbOX32E2NQc+GUDKKLmkmL1KHTKNldZyTaoPWPDXc7AlUOtVKBIMDmexdy+8e7WDQskSaTixUlLdQbnRQ3WVhd1s7bl05gYnZ/TYbbK5MQpqWuJxYgI1pPiEaB3enihZXl7KhqY3utGZdXYnRKGFUdNrodPkLVIn86fRTzh8VxwjNraDC6SAxT88GVE/lkd0vQc1zx1k4ae9qEeTEqtBodfzlj1GGN9vpCFAXOn5LJ+Yd4CB3E1upOypotpEXp+LGoCbNrYCel7Jje6tLaO2ZR3+Vkck4MEsFE5tPrZgQRy5l5sTg9PsakRjIhI5Ivdzdz6TT/a4kP1xGqUWD3SIRpRGyu3niLDHsN61+8iYT73yYkLYvc5Kyjer/HMTj+64iM1dzNpt3b2Ve6F1vzAWwtlZiaqpB6RLcKpQqf1y+i3HaEfYWEGMjIzODaq65g2bJljB8/HkEQMNrdLH5mLa1mN6ECWGSYnmagodtOYb0RtcLvN/DuZf4V2ZEIQFKUni33zgfms2r5dE455VSeveccrnnoDcIiYv7VQ3JEdNicbK5ro8XiwOWT0CpFQtQqv/2818jqF25CVChYev6tjJ66+KhbXwvPuJq68j2ceeaZnH3OOdx8001UdfrL91/vaeX6WSbyknrFbktHxPPRzmYyo3urLWvKWrjirZ3o1Ap+uXUWzWYXsaFqkg7xdREEgZcvnhR0m9XtJVyrxOTsI7jWHpu52WD98skZkZw4MnlQnxGApAhdPxLgkeRAe8jr80+PLBmRyKYDnWyu7EApCpwwMokHTxoW1FqYmh3Dp9dMRZLlwITSnSfk4/L6AhNSgiDQafNgcfu4+eM9TM+LC5gEjkmLpuqJE2k2OXjwq+Kg15Qbqwu0p2RZZn+rhY0H2nn0W38u1Po75wzYCnB6fJQ1WwjRiDxw0jBu/2QPbVY3F0xK5fwpmRTWtLOjwYZBAdZjMPNdkJNEm9XBvjY/EZ2VG83anhah3SPQYHSiU4kYXX3yhoBlYxPJiw/jQLu/EtBh8yDJ/vyig9hTb+T+L4txenw0GZ080JO1ta26k4dPHk5cmBatSvGb6Aze3VzD+VMy2FnVwdmvbkWtEFArYEJ6xIDb21xeUqP0nD8pHZ8sU9JkYlhSfzFo9gDts+RDtGNKEV7dWEldp5M3L53QQ0wE5hTEMys/LuAaG6qp59NdDaRG6RmREonR7iY2VMMpo5MQBIEQrYq/X+j/Xq3e3xY4LjLg9Mmc9cq2IKPBg5CAMekR5MQZaDY5MWiV2Fxe1lUaAVh7wBjY9mBMA4DFLfHwt8Xkxk0OpFQ3m928sq6GCRkRbK/pfdxBrRNAeYcH8PDXH0v529ljAqJ1b487ePwA1bkj4UCbFZ1awVeFjbRbPYNvKBMIJ02OMpAc5f/7fHXNJE75+1YEYMXNM/tNlE3IiGJCRhRur0Rlu5UbokLY32rh8e9LSQzX8HaP7szs8htmqkRYnJ/KkJhheK3dRGblcvPC/KOeVDuOwfEfIzKSJNHRUkdDVQkNVaU0VO2jqaaUzja/hbRCpSEpM4+84aNIPuUckrLyScocgjbEgMftwmE109HVRUNrJ2PjVeREiDgcDpKSkkhNTSUlJYXw8IGnYTqsbtosbiRAZ1Cz5575dFhdPPR1CdtrulAqRE4amcjti4YclfdIX8ydO5d169ZywgmLeeqOZVz3yDvEJh6dydVBOO1WKoq3Br5coqhAEEUkWWZvqwkQGJMcg1qlwivJrKtto9XqRlKoUMWkYXULdNjdKNqrafzkQeKiIijIz+KVx69lxuLzWH7D40f1OgRB4KLbn2HlF6/wxRev8O477wAQf96f0aYMY2ddN2EhauLDtAiCwH1LR3DG+HQyY3pP1J/sbMAjg8flY+kzq2jrqS6vum3WgHqIi1/fQmWblRW3zGZYYhgjUyIoaTKhVAjkxIbw7LnHls07Lj2ae0/I56eSZkI0SppNDs6dmM7p41IHnFQqru/itL9vJkyrZMu981Ed4p+RFK7lb2eN4t3N1SyfmE5KpN/59C9njGRPgwm1UmRsWuSAvf9DxZBxA/iFxBhU1HSBVqVAlqHZ5CCh5/gCxIdqWTA0gVazk7pOG8kRes6emBYgKpsrO7jw9W30zeSUZX/VpdvhJlKnRhQFvD6Jh74s4sOdjagEePbcMXx5/QwcHh9Rev82b14xnRaTg8p2G7e9s5P+1l8Do6LTwoSUaNQKEZ/Px7iMqACRcXhl1EpotQavjtOj9fz1LH+cxF0n5PPUz+WMTQ1jc2Unk7OiAhcxhQjdNn/4qNRT8fl2TxOtFhfbarpYOrK/e/SxoOrxxazY18JH2+pR9DynQa9CrYD4cC2rb5876GNn5cVSkBjG/hYLH2ypJTNGz9DEsKOqhJ4zIY1dNV38WNJCiFrgDyeN4E/fl+H0eCltMTMqpVeTc9C/ZmN5G3d/0UtqC+K1uLwiZ41PCRLRH8SEjCiWjU/lh73N7Gk8vO9PXKiG1MgQanw2YkPVuH3yUU+oW51eokJVjEoJY0+DGY0CfihuweIKZsMDcePddUYe/mYfyyelMSEjiidXlPHtnhZOGpXAXYv7j7ofDgatEo9PIismhHarEZXgr6I0mZwkhWtYud8/Gv5dURN3njiccF2wHGBUekwQyeu2ubF7fCT3WdxUd9j4dEc9tV12vJLM6tIWXAO8sXB3Ny2fPoz29mfY44vn2QeuZWhSeJBY+jh+Pf6/EZmWhkoq9m6hoXofjdWlNNaU4bT7e7tx8QmMHjWKRRedT6MYhzI2g5HDClAo/C/P5fFR322nziqTrPQSotGgioolLCoWfawTt1Jk6Qn5QRb3Jocbs8NNmK7/xSotSs9pYxLZWNnFHQvzEUWBqg4bexpM2FxeEGB7TRdtFicpkXokSWJteQdFTUZCNSpOG51MxGHK1mPGjGHz5k0sXLiIv91xOtc9/Cap2cOPeIyMHS2s/voNNvz4Pnbr4QP71g9yuz5/GtFLbsFn7aT+vbsJj0vmybc/46yZw/n73//OtddeS1d7IyDjdbvxet14PW58HjdejwuPx4XH7b/N43HjcfcXazortpKYPYx7viyBL0u4bX42p49LY9ZfVtNj5smHV0xgcnYcfzixgLIWCzEGDVure8dVK1qt/YiMxyexptx/wVtb1srCEUkg+M23wnRKZubFHpWg+FBcOTuHKwfxIzkUq8s78EjQafdicXmJOoTICILAqWNSOPWQKaeYUC3zCoJf27eFDfhkiVPGHD2RfevSyWyp7qQgMZQr397OviYTtyzK55Kp/vKzKAqcNiaZtCg97RYndV12lgyLC7S+SpstARKjAe5YMoRQjUjWvb0mcCUPL8Ti9PFlYSMAHhm+3tPIkpFJQQTMoFGSExdKmFbFqOxodtd1Y/cczhPYj52NHYxLjuaM4el8UlTDUz8H65z6VtgOosvuX527vD4aux04vTKbqk1sem0rL547mhN7NErDkyPQ9kzILZ/oD+K898QCCuuNLDxCsvjRQBRFThiexMKhCbi8Mj5JJj8hnOKHl3AkPqJUiCRF6PBJMmPSIhhySJDl4aBRKXjm3LHY3T5UChG10t+uLG42MyIpYsDHPPxNcGWutNUvLn3y53Jm5cdRcEg1yKBRcvn0TE4fm8zLq8r4qbQ94IA80Hs5YXgC726pxSNJRKoU1Hc7mZ4ZTk23i6xoHesru5GBULWIpU+PcGx6JDEGLZ9eM40bP9jJ5squfqZxfRGpU9LdY9/Q5fCyorgZtVIkMVxLfZcDu9sTaHEdC8akRrKztpu0aAOj0iLxeCUajU7OnJBKQUIoa/Z34APmD00g5AiEQpJkXttQzdaqTnbXdZMVF8KHV0zm3S011Hc58Ph8VHdYByQx6REhnJafwwdFozlvXi6jhuX13+g4/iX8W7OWJJ+PvVt/Yd23b1FauBGFQkFuXj5jx4xm1KhRjB7t/zc+Ph6L00Ntp51/rK0kOUIXKIE2GR38VNKCuefkp1eJzC2II7tHwe6V/Cm9RoeLHbX+pNX7TyrggW9KAdhwxyxSBhjBhN5yIkBxo4k7P91DXZcdURAYnxHJU2eNJkyr4rmVFXy0ow6T3YuMv3f8zDmjyU8IRSmKg5Y829raWLzkREpLy7jotqcZNWXhgNs1VJfyy+evsGPNV+j1eq655mquuOIKQkP9Sao+nw9Jkjjp2bV0WF0gSxjUIl9cO5UdNZ089VMZbWYH7vZaula8hCoqGVEbgqe7heVPfMhVC0YwLScGWZZ54IEH2LV7N1qNBk3Pf1qtNvDz4W5LS0sjb8hQpj65IegLmxSuZsmIpCBNxeiUML68fkbQsb7s1Y2sqvSvBLfcM5eEAZKHz315I1UddlIjNOyst/DEKQWcPSW4h9xpdbG7zkhVhxWNUsHw5DBGJEccc/VsILjcXm75uJAhCaGDCjqPBg1ddqb3GP/9fPMMchOOru/fF2e/vMlPZBbkMzQplAe/LGF0SjhPnDkaQRBY8uw69jVbUACVPSvHPfXdnPfKJvrkLjIrN4a1Fb3GZKNTwogMUbN2f0dAl3HHwlyumzv4CfbnfS28sOoA1R02LE7vEbOWEkJ1nD0iA5PTw0d7q3EcEjQZohKweXr3csGkFG5ZMITnV5Xzxqa6oG1n5ETx1qWTA5UIo9WJxeUdcLT6t0JFi4nlr2wlNUrH59fNOPID/gNY/spGNvW0eg5FeqSWn26d/S+32Go6bOyo7aLJ6CQ+TMv4jEiyYw14fRKlzWYcHh9J4Tre2FjNrrpuChLCuG2Rv13i9Pg4+x+bqem0DUhe0yI1qJUKDBoVhQ3BFaJFQ+NZMjKBcK2a6g4bJ41KJOaQRYzL4+PRr4uxeX08csqIflltsiyzZn8bK8va6LZ50ChFChLDOHN8CuE6FSVNZixOL8OSw45oqijLMh9ur+eJ70sxOb2IwEvnjeWLwkY6rC521hoHfdw5Q+KJiAjnhhMyMAywsD6OwfEfzVqymrrYuOIj1n//Dp2tjUyaNJmz7/gz5vixPHv+RHLjg1/QBa9uZnNVF6NTI4gxaAJfPkmWWb2/LUBiAOweidVl7aRE6NGoFIjAz32MydwQIDEAt32yl/RoPX85c3S/19l3tTQ0MYwrZ2bx7d5mdCoFF0/NwOuV+NuKMlbsa8Xq9KJUgNkpUd1p57xXtuD1SUSEaNh8z7wBV15xcXGsXbOa5cvP4x+PXsG4mUs588oHCY+KQ5ZlSnau5YsPXqKpdCthMQn84ZHHuOX6qwf8g9ldXjIyMzH1fOEvnpHJ0KFDSc3ysKJJza7aDuzx2ajjMmj79FHcrZVMu+KP5KbGBbxFBEHg0UcfPfIf8DDotrn7rTruXDSEDmvweO6hU0mCIPDKZdNoMTsJ16kGDXf74KppAGTc/R0Aj/6wn7OnZOGTZD7cUs3a8nZ0WhVmhxePVwLBL7KclBnFuZPS+lmp90Vf4joYNGolL/WYsXXb3JidHhJCNcz+22oUgsDq2+agOoqLQ4ROhUrwaxGiDL/u5PX2ZZNoM/urglP+tJIWs4v9bTZOH5/KpKwY2sz+FXjfP8eo1Eg+u3YGi57prdntbzEG7bemw0phg5/CaBTwwEnDOX0Am/++UAr+NPNZuTF4vT5+KPV/5zTAQAPWLRYHH+yp5uyRmZw/JgtR4eTlPl41Y9OjqGy3YnV5mTckDrPDy+y/rMI8QDCPP7hT5qYPdiJJ8NzycUQYBq7MlTUaOeWljYSoFKy+c86vDoxUKUQUCgGd+redPuywughRK9AdRRjpkfDqBRMY+dDPAVfn2+fn8OQvfq+W2m4nt368m7+cMXrQ71pxo4nqDisz8+L6tVUOIiMmZMBhB6VCJCMmBLVSRKNU8IeThvXbRqUQCdUpB3VNzo0PQ6UQ0agUVHeYMTn9xHZmbhSCAJ/vbGRbdRcGrZLcBAPTDyEyD35dzIfb/ePXzUY7H14VnL0mCAJzhsQzNj2KVrMTnUoRaAUDx5TxJAgCKRFaHD2CYQn420/7qOt24T2M82NERynPXb+ca576BIPueCXm34XflMh0tjbw3fvPsGPt1wgCnHvOOVx//fWMHz+e01/aiNHkZGetP6l3YlYUc4f4jagO+mtUtFqCVumtJgdd1v7+FXa3j2aTA5PNQZupvyV6pBruO2kYPknm6ZWVtFl6T7VOjw9Zpl9vUhT9LYMThieiEP2jjfP/tobGbgfKHrWhpc+kiLXnhHtwf4NdH81eBQeGX0EMeez+5Z/s2zmP2SddRNHWn2moLiMkKZfss+4hfNgMmlJjMRgGrnh9tquBkiYTaoXAxZNTeHl9Na+vr6biiRO578SCntWyFXfsCCYUvIHUVMzik09nyYikX+VaOxgiQ9Q8dGIBP5c28+DJw0mLNqBVKfB6JVaVtbKtupsog4rxGVFsquxgXHpkgFwoRCGov3w4zMmJZm1lJ388qQCAwvpu7vu6l6BqgYN/+YKEECRZJi8+lKk5A4urV5e2cMMHu8lPDOWzQcImD8VnuxqwOL0sHBZLl82DANjcXiIOITKVzV3Me3Yzy4ZH8Lfz/UTMoFNR/vgS4Nd7H2mUClJ7JouSwrW0mF0o+xjofX7NVK55fxdnjg02VcuNCyVKB1091fgEg4IOixcJyIvTMSs3lpc3+qseGoVAXryhXzVrXUkjN3y8l+fPGsmMoUnc8vEejA4vlW1W/nz68ACROZxLTJvNyXuFlZxUkEqiPoI5WR421LTikWQau+0MiTMQFqJBBrbVdA1IYkJVcNmMbArrjHzV48OxvKqDKX0mbXw+H6e+uNHvDCzLuHzg8vn4ZGc9l884fEtRkmRsLh9muxez3UthXTe17Q5iQjQ8sng0Q5JDjipXKf++73D5YESClitnD+Gk0f2N7nbVdXH9u7tIjwnhgyv/dX8bvVbNgSdOxCfJKEQBt9fH65tr6LL5L7bfF7USrtvH+ZPTBxQdryxtpbTFTFyolklZgxtfDoSieiPn/HOzv7J359xAa7MvFKLAomEJlLcGh3qqFTAsKZwlIxJps7gobjQzNTuOlaWt6FQC+QnhVLbbKG+14PBKOKxu9tQZmZ4TPF1lcfQKeK0DVHwOIlynGpSoDYYuq5PHvy/jtLFJTOtxEL/387309eGs6DhyHMfsCZNI8F6HOvrYTBeP49jwmxKZt568GVN7HY88/BCXXXYZsbG9H7ynzxrN7rpuWk0OXttYw4fb6yl8MKHnvlHc9PFeNCoRXw+7dXslvtrVOGBKrwC0GK1sre2fejsi0cBrl0wkLsx/wUyM1BPZo2exOD38Y20lLq/ElTOyBhRb9i3Fzh8azyc76ok1aGm1OFGKPvpKBM4an8Tti/KDTnLvbanmzU21vHLBWGo6HVz85g5AIGTobLQZY3Ctf50fPnyexYsXM+G8m2nUZpERY6DD4qK40cTa8jYmZ8X0I1rDksII1arQqkRqetKBPfirDAWJYTx37hg6LE4+3dnAmv1tqIbOpKbdxkNfF/PkmaP6lWX/FZw8Jpk3t9Ry7Xu7+f5Gf9ldqRR54OThvLWxhi67m911RnbVGTnQZuX8SelHvBAcijcuD/bwUB+ScdX3FFLaYiNCr+HxH0oZkxLBo6f1H8/utnnw+uQgMnokDEkI5Z3NtSRHaHnhnLEoFCIRAwTtzXvWn7XyWbGRh13eoKyW3wrvXzGJz3Y1Mio1gvSelkpajIHvbpyJyeH3DTE5PCSEaxmeHMabl0zlzJc3AVDW5g6s2u0emdEZMZxq9VDWYqbV7Oayt3bw0MlDOX1sauD5LnqnELnn36o/JRGmU2F0eNGpFEzOjuGs8cl8umPg7+dBKAQQBB8ag5eJueHIyIxJiqKs3URJq5HVFZ0khWsYnhLB1Oxomi1OEgxa4sI0zMiNxStDcoSWnLhQui29niZ5scETWBXtVoqa/OeCvkd8Zm6v0eELqw9Q02Hl6hnZFNaZiNBoaTe5sdi9QR4fVpcHm0uiyWSi1eyiqsWBXiOSn2xgXE7YgG3kmg5ToEpZ1OLklfVVAxIZrUJEpRTR/YbOrbIss6K4mV/2NXPL/HxiDJoAkQF/jMV3e5sHJDLzh8aTHWegIOnY254mhwu3T8Lm8iLJMopByi7nTEzD5HDz5sYaTA4P0QYVJ41O4ZzxaWTFhlDSZKaizYrLKzM9NwadWkV9l4Ps2BDSI3V8uKOeUK2SMQM4Wz9++ihazFuwu33886Jji3g4FBaHhzUVbbjdPr4paqG63Uptl4MfipopeXQxAJ22w5tCHgqtUkFBegY1zqXMKThyBtRx/Hr8ZkSmct8OKkq288UXX3DqqacGbpdlGZPDQ2qUnvSYEMqaTLy+qSbIDGpidiz3LCmgotXCu5urWVHcwuKhsbgGqdjFhWkIHaDXGKYW+OamYLOsmXm9AkCH20eXzY3HJ2N2egYkMn1x9+ICrp6VzYurD7Ctuos2s4sWsxMZCNOIPHjS8H4Os0+uKMdk9/LHb0vZf8hKRKEPR7/oFtLmX88+hYqzRyRQX95Fu8VFq9mJ2+Pj7o92cv70XK6clRXUJhmbHsX6O+eiEP0r9Wvf3caCgrjAxVIhCqza386bm2qxuf0nsu3VXYRqVaytaGdZn4vUsUCW/YLHvidwf8XKX7Xqe61es78dk8NDfnwoXkmmrMXMX38s5eGvSrhzUS5Xzfn1pdXhyWH88dTh/HNtBc0mF4dqTq1OL2UtFqrbbVw/N4f4Q/Q3p49PZXZBHOGH9MLru+y0WVxkxYQECO9BhOlUtFqcfFXYxLuXTzoqYqI8RsJ2tNCqVZw3OaPf7Z1WF69tqGZ/i4WGLjsdFgejU8Op7XIiyTA9O5qsuBBe21iHRgF6lZIog5qHThlOUb2Rq97diVeSqekMtrqfmRvB2gojs/OiEASBL66dxgdba/D5ZH4qaeGyaVl8ubuRgz6GoSoFFk8vSbxlfg4jUiJIidSTG2dAEARykkL4YFM9qeEhjEyIwuzyUNzSidHmZsnwdE4ZM7hdf2Sonuo/DVzhyo01MCo5jD2NZpQi/GHpUE4bm0KoVoUsyzR2OSmsNJEUquennV0oRIEKRzdxEWrG5YTzxE+lVHbYUIoSbbbgMd1Eg46/nj6aohoL9R0OFo2N9bdL+iAjJhyF4PcpmpgeytWzB/6cD02O4KdbZvWbXjsarN3fxqqyVq6emU1iH0ffkkYT17zv9zv5ak8Lr104nts+24PF4SUxQku4VkmEfuBqxLCk8AEJztFgWm4cX18/nWiD5rDvR6UQuX5uHudNTqfZ6CQlUhc0gDEsKYzzJqXx875WWs0uFKJATpyBk0YlEaVXc8rYFPRqBblx/fVQ4XoVn107gzazg5VlrYxPiyZ3EP+ew8Hp8XLW39dS2uavL6oVAnqVn4gf9FoCUInBFySVSL/zUF8YzPX89MlaRi85i1l5x4nMvxO/mdj3H49cjqO7ntJ9JQGfEo/Xx1M/l/Ph9nrCtUpunJfL5OwY4gwafD4vd35ayAWT0hmf4ycb9V32QDJyfqyOTpuLDnvwJyVKJ3LymFTCtCo2lbdgdniIidDT0OXksumZXDRtYHOkgyhvteD2SgxLOrqxSPBbva8ua6O40YRBrWR6Xgyz8+MGfPxbGyt5e0s9/zh/NOe9so22w/gXpIWrkEU/Wem0ubH3lNZHJofx1NljyBngy9sXPkmmyeggOkSNRqXg5g938e3eFpQKAbVCQJYkJmRG88pFfh+KY4UkyTz0TTEVrVYePWU4OX0M1zxenz8grme/sizz4NcluL0SagV8sbsJj0/C2TPGpFEIFD9yQr+TntPjw+z0EKVXH9EnwmT38MSPpexvNrOrPlgcOD07EqtbIjvWwN/OGn3Y/ciyzMaKVmJCdTy7soK99UbSovQ8e+7YIHLr9Ul8urOB5EgdM3IHD3Jze328uqaCpWMSSYvuf2HwSTIen/QvCS9LGztY+sJWhiUb+Pr6XrL+7Z4mPtlRFxhvPhThOiXb71uAJMmc/uIa9rUGl8Ovm5WFwytx7ZwcYg7jZ9FqcjD/yVVY+nycHz91KM+tqsBs82Dv4TCxBiWvXDCB0ekDO5WWNJm45f3tOFwiIxIiGZ4YhdnpZurQCGYOCT7GXp/E3gYTe+q70ahEJmZGkx1rGPR7W1jXRWmzhZNGJtPY6aS+w0lDhxOnR0JGxuxys6W2g6puCyanh9w4AxdPzWB8egQvrTnASaOSuPztXYH9pYSrOXtCKjfMH0KH2c1Pu9rxeGUWjIkhOfq3q3AeCT5J5oRn1tJqcrJsfAoPntQ7AdnUbWfqn/3nTBGoeuJEWs1ObC4vT60o5duiNrRKgXV3zj3iwu0/CbdXot3qQtUT0ni05+Y2s4OJPdEmAB9eOYnJWQO3l91eiVaz3zG673exst3CvL+tC/werlXw4MnDWTIiAU2Pf4/d4eKKd3ewsY+4+sebZyDKEl/ubsDtkXh1c3Be2dDunWz76hUa6qoHjKs4jiPj/6vY1+10sGfLzzz55JMBEvOHL4p4Z2vv9EG33cOtn+wFIFwDpp7m+ldF7ey9fy7fl7YzLjWc9AgltUYv1e0OYsJVqJCIC1ezcFgSKsXBkDL/h3xafiJV7VZSo/S8dWnegCuDdouTB78qZkp2NBdMySQv/tgZe0qkngumZByVWPSiadlcNC0bgDtOGMIdnxYF7puTG8lN83K49M2deCWJUJ2G2DAtty3M58/fl7ChyghAmFZEcxQTOF8XNvLq+kqMDi+xoRqMVn+1yOOTUStEdFo1Z4xPDSIxkuR3ANYfxRfL5ZUobjDTYXNR0WYNEBmH29ev9SUIAulRerbXdLG1qrOfZ0R6lN92vq8xW0O3nRve301Vh4Vp2TH8+YxR/SYP+iJcr2JyZjSdFhdjUsLZ22BCACZmR5EUqefKmdlHJH8A17y3k9WlrcQaNLglmTaLm0aTi9OfW82G+xcHtlMqRM6ZeOTRabVSwbXzhwTdZnN50KuVWF1eXt9QTbfdw1njU4MqkceC017aik+GvQ1WvD4pQPpqu+yYnQOTZaUII5NCsTo9VHfa+pEYgBOGJzAideDcoL5YW94eRGIAqjptnD0hgxdX945Xj0iOIH+QNHPwi+rvWTqCFfta2XSgg9JOEycOSWFftQObrZXZw6PRaZR4fRJ/+bGMz3bWY3NLKARIidJz75ICZvXJxpJlGZPdS5vRjcUCCo+ad9f4vahiw9QUpBlIjdESH6FBIQqUNsfx/tYa8hPCKG60MCkripy4UJ491x8n8NPNMyisM5IXH8rotIjA992gUyCpvShR8O32NqYOiWRExrGfSwaD0+NDoxQHPL+IAswviGdlWRuzcuP4fEcDUQYVs/LjSIrU8+xZI3h5XTWPnuYX3B4U2m+q9CfRO70yRY3dzAs79siGfzc+3VlHiFrF4hGJ/fRzbq9Eu8WJSiEOSm5+Lg3OL3p/ay1jUyNpt7pIiugV9np9Eg99Xcza8nbGpUfylzNGBchMXKiWcCWYejpyi4cn9BO/n/PqNuoOqVoO6ZlEvDMxggV/+Tlw+1kjY/nL8ol8t30C111+1XES8/8Bv8kRVmt1pGQOYfPmLYHb1vUZ9zwUpkMUgpuru/i5pIU3NlRRa/R/mtxAk8l/5gzXqQnT9R+tazI6USv9fgeDlTer2m00dDvZVt3FBYNYWR8tjmaV4PVJ2Fw+DFolZ4xLJT8hjIpWKwWJoRT0mGPtemgxsixT1GgiLlRDfJiWC6dmER7iPwGfPCqpX0r0QGi1ODE5vHRaXdjdPkx2//HSKCBUo2RGXgwLhwaLzC57aztFjSYeP204C4cFn9hkWearwnqmZsUQF65Hp1bwh6VDqeywMmeI/+Ix4Y8raLd6iDWo2H7/Qtxeib0NRooajDg9PkI0igErKznx/S9ur62rYne9EYDvi1s5ZXQHi4b7X5PD5WX0Iz/h8cEvt84iK86Ax+tjfkEcbp/E6tIWdvfkxYUoRc6ekHZUJAZgwZBYtlV1MTEzkvJWC2096XGdtiN7pAyGTqsTnw/iwrWc/8/NbKjqIiFUzQvLx1LeaqHb7tekFCSG0mVzE6FXDyiQHAwnjorns13+k3bfx8WHafAOIPuZmxfFxMxYXlhVzlkvb+ahk/tPlWiAV9ZXcd/SYf2mzA6Fb4DJDK8PyprNhGpVqEW4cU425/WQeIBL3thGbaeVj66cQmyPZu3gJMn4jChqOmxYXV6GJIbx2JdlOL2hlDXaiAxXUt1h4eNddTj6xBzsb7Xylx/LSAzVY7H7aDW6aDO6cfbU9yNClMRHaBiTFUZKtBadpn8FrCAxnEdPHdXv9oPIiQuluNFMeZuF4SnhgRDCn0paeGV9JdEGDbfPKWBjqd8T6bcgM49+s5e3N9czKjWc9y6fTJvFhU6lCOjaBEHgrsUF3LFoCE+uKOWlNf5U+C+unUpmdAiLRiRzytj+hHtkcgRres7D93y2l233/zoi4/NJ/FDSQkZ0yDFN+hwJa8paufvTIhDgBcYwMz8usMCq67LxwJfF7KrtRq30D2LcvigfrUqJ3e2l1exCoxSZkBZc+ZuXH0fBH37EB0zNjOT9q6YCUNRg5NMdDbglGVn2ywTSov2LqlCtio+vn8H7W+uIMai5fEaw3YPZ4aGjZ+Q/LUyk3izx1dXBmpyKrl79TKcLPF4vDW0mxh1vKf1qGG0edlUYj2rb34wqzlhyAR+8eB+bNm1i6tSpvH7hWC54YztNJheyLOFpr8VrbEFQqnv/U2kYm5fKjLx46o0u/vKDfypFBIYnGtjb7PcSzT8kQ8bs9NJqdmLQKFk2NpWRKRF4fRLFjSYKEsPQ9CkbTsyM4sGTC8iK+fd5ThxEu8XFcyv3U9pkYXxGJNfOzWVkSgQjUyL6bSsIQtDtC4cnMinbXxIN16mQJJmXVlegUyu4ZFrmgCRq+aR0UsK1/HNtJSqVSE2HjEeCR04eRnKUnjGpEUGkot3iwuHxgSyjEPqTjVs/3M0Xe5pRiVDxuN+XZEx6ZFDqs0+SAv9anB7u+nQPK/a1BUYQlcDySalUdtpoNjoxO7ykRekYnxFJYvjRl7abzc6AgHJNeSthOiUnPLMWtVLB+jvnMiE9nO9L/GGNfzhpGGkxBiRJZn+r/8KaMkAy8EEsG5/OsvHpAHy4vY67P/NXzf5y1sijfn19UdpkZPFzGwF48dxRtFr8lY8Wi5tbPt7FhVOy6bC6GJkSwWc7G3hzUw2LhiVww7zBgzUPxd/OGs/fzup/+5TsGHbXGanrsmJy+v82YRqBp84ex6aqDhQKBUpRYEJGFOEqMPWtqihgZVkbPhleWD72sER9el4sKvwC84M4bUwKKqXA2rJ2Fo9IDBrTlSSZwnojLo+XvY0m5oUFE/NQrYoRfT7/NSYLP5Y1MyszgSzZQKI+lBunDaXL4UYhCGiVikDFYtWeLtRKgfgIDcPSDcRHaIiP0KBR/es+Qg6Pj+Imf9vS6vQGdFMjksPJiTOQGx/KtKFRiKLAxtJuDFoFmQnHlgTdFz5J5r2t9Xgk2FFr4pMdtdz/VRlKAbbdvyAoL0oUBdx9RBlbKzu44NWthGoU/HLbbEIOqWb21fIYD2NIdyRsqe7i76sridAreWH5OEK1yqOOC/D6JPY1GclPCA86L4N/+k6hEHB5Za5+bzcXTkjigZ7gxz9+u4815T2LYRe8+v/YO+vwNs7s+3/EkmVJZmaM7Tixw8xcCJSZmWmLW9zCtt3Ctt0yc5u2KaUphJkTh+wYY2aLWTO/P+TIdmwnTpou/L49z5MnljSaGUkz73vfe889Z10VsQYNc/NjeWVlGXvrjGhVck4fGs9Hl4/ki+01zBgUzWkF8dzyhT/zv6Gyg0azgxi9hkazE5lMghyYlBlBtKFnGTU7Rs8j8/sWLX1pxUHqTf5ApdYi8Jc52QxJiaSi2cINn2xHKZcho0sGYW5eNG+9/yV/ueMmNm3dCZy84O//AtotbjaWGKlpceJzDUxP/KQFMhPmnMem375g4sSJBAVpCdJq0WiCMHokWNqaEJx9n9BKrZaz104lJ2cQ49VJbJZlcNX4FBaNTOIfy4opbjLTanfjaLL4PTEQCVbJGZYUysSsiEB676Fv9/Ld7nrGZ0Tw2kUjAvuXSCQMTz6+1sITxc97G/hqex0Oj8DBZgtDE0OZmz/wVVD3FsGNFa28ubYSiQQmZUb24Kcchl6t4Ke9jYGA77bpGVw3NbNPYbjdNUae+mk/Fc0WZuXE9AhODiM/Xs83uxvQda5knR4v57+5mdAgOW9ePAqpVML2v86mpt1GYpiWF34rYenenqldL37n5i+vGUuHwx9wRgSrGJ8R0Wvwu3xiKjtrTIHSUvfW6dQILacPiabR7OLC0cnUdDhos3kBLzUdNlIi9b08Yh79YS/vbahGKoGhCXouH5/KaQVdKeLz39iA3ePjy2vGI5dJkEgkLBwax9Ld9UikMHvwicnbbzvUHvh7RXETX1w7jsLHfgOgzerligkpSCQSzA4vu2qNWF1eWqxdZR6fINJicRISpDxuHk18iIYbp2VQmBTCwUYz0To184f5lafn5ccxOM5ARLAKlULGD7dNYcEr6zHaPPjwq+OKosCOaiMNJkcv/6vDMDvcIMKy2yfz7c5a3D6BeUPiAoF4bh+lJKlUwvPnFFDeZGHaoGhEUaSy1UZokLIXqRrgs6vHknH/T/xY4k+zhaiVJBqCiArW4BEEnB6/IarL62NhYSyXTUs/qV1hhxGsknPhmGQEQexxnmmRwbxzWdcqPCcxiB921fHDNgF1kIerpg08KO0OmVRCYYKBjVUmFFJQSv1Dslf0qxwfidtnDyI+VEO0Tk15ixWXV0AQRaxub69AZlp2ON8XNSIBLp9w4tnoQTE6BsXqiAhW8crKMnLi9JzRj+6QKIp+f6zOrOFjP+zjm531DEnQc96oZOqMDkKDlEzIjGBQrIGnFg3hti92A7CkqJFbZucik0rY3Zmp7Y6d1UY67G6+2FwdCKjbrC7+fmYB/zyvy2n8rKFRfLnbv8g57/UNfHndBGbnxfL4AoEwrf/YtR02rnx/B9kxwbzSh0t5d3TvMtMoJEzLjqLV6uKK97dS2ebvIJ2aGcbQpDAKE0OYlB3F6zVNnHXJTeRlnliTxf9FOFw+tpaZOFBtRRckZ9qQcCKCDNw4gPeetEBGKpNx7YNvs2vDz7icNtwuJ26nHafDBmodDUEJOAyJiD4fotfF5MQQErQKinetp/LAdrbu+ILmhmoWbhTVyQABAABJREFULlzEJbe9iV0ioajeTKPZiVQiY8boaAxBSnQqOVnRuh7CRgBBKjkSSW99mO4QRZGDTVbqTX6diLw4/XG3BR8NDo8Pn3g4YyHi8R2TR90vcmP1pEdqUcmlxIf2n8nQB3X9hIYgRb/qtt/vrmNjhT8d/sm2WmYOjg2Uiw7j8kkZXDaxa4LYW2dmV7URqcQv5BXV6fmTFB6M0+Pj6x31fR7LI8CZr23kyUX5vTgmbq8Pl0dAp1GQGKbls2vG9En2lUgkzMqN5sbPilj00kq+umkaCwpisbo8xIf27Sq+rDOoEkTYWWPmps92M2VQdIB30251U95sI/OBnwAof2IeKqWcD45o9T5enD0ima+212J1+rjvlMGEalXcPSuLxTtquXR8MiBBEOG+b4pYVdJMWkQwN0z165v4BJFF/1zJ7kYHOjmsvnfmcbs2xxo0nDm87wEzKbzru5JIJP7Vo9RDd2NqEZE+jKoBqGqxMuUfqwEYkahn8Q0T8fgEGk3OPvVVXB4/wV+nknL91EymdPJZnv+lmJdWlhOskvHDTROJDdFw0dubMTs8fHnNuF7ZlCCVhKoOC3uajL3OKT85+w8JYg6ju6njrmq//9ENUzJ6dEqOeOw3RImEc4akECmomfzUcp4+eyij+yGaHg3Tc2PZUWNCrZCxcEQi+iA54VolsX0oXwcp5Vw2wV++c3t8eERIj9ASre+97WtrqgC/KOOo49SJ6Y7wYBXPnjWU3TVGlu5tQNNP48DKA41c9v52AIZGa/j2tmlolDLsLi+7a0zIpDUYNEocHh/FjRaumZRGbpyBCK2cNpuXMwviMGgUuH1Cn5YBwWoZFa22HlnBRpOLjiPaomcNiQsEMpVtTs771yp+vH0mi4Z3BV97as00W53Yq49iJtmJ66dm4POJmBxubp89iDCtis+3VmPsdtzwYDW3zvQrgTe0OyEohofu/8sx9/0nwOcT2XPIwo5O1fcxg0IYnKxDJpVgNh/dqucwTioLSR8ayaRTLuzxnNvl5JcvX6Xoxxdwez3I43IQVDqW79MxOj0Ft8tJaFQCqiAdNpuFb775mu07trNszVY8PgFEkeImCw99t59rJiZyz7z8Pgexe+fmcOm4ZGIM/ad5tx3q4M3VBymqNZMVHcwl49OZfhL8WQ5jRm4MmyvbKG20UJAUwui0vjs3+sOBehNXfrAVjULG+5eP5qvrxx91e58gEqSQMykrghmDojh3VHK/28q7WQhL6C3gZ3Z4UMikPQLB/HgDY9LCMAQpenW0uDxCoM27L3hFeG9DFWeN7Apk3F4fI/72Kxanj5fOK+TUoXH9OhV7fAI3fuZPEe9tdrOqpInnzx3W7/EA7piZyf1L9uETRHyiv0TZnTv13c0TGfzQskAOuNHoIL4PV+jusDg9rC5tweH0MT4zgrgQDaIocu37m/m5uI0RicF8cd0kltw4ibWlzdz79R5SIoJot7mRSaV8sbWWLRVGbpiWQVWbHY8gYnN7Ucv9t16rxcnuRv+qzuKF9zZUcuOUDJRHfCcWp5trPtxOrF7NP/rxx+kLPkGkotlCXGgQ8SEa8uJ0bCjzIIo+EEEuk5EXqw9wsu7+cifFjRa+vGYsSqWCpXsbAvva1ulyfOpLazjYaGPe4CheuXBkj+NNf2Y5tWb/5LDjUDvvXO4Xflu2rxFBBLPTx7ZDHaxeto9NFf5M1ttry7l5ZjbPLMrn7q/3EK6V8+6lo/ho8yF+299Eg7mLVDc3L5px6T27m3yCyAu/lTAkPoSZeSdXeOy+r/fSaHagksu4rXOi2lze4tflEUW+2neIiwrSmZuVzJXvbue1i4cxNj3iuBZIl45LxukTGBofgkImZU5+/23o3aFUyLh9Zt82Gg63F2s3Evhj3+1jbFr4CSsKf761hpUlTSwsTGB2P9/xG+sqAn/vbnLg8fo4Y1gi60pbaba4iQ9Rs7fOxNDEEGra7X5/rLwYltw4EaPdQ3pkMHKZ3/LlwrEpPLX0AIc1EmN0Cs4emcSKA009SpwxBlWvDJ8g9gyKS9u95DzwExeOTeSM4UkMSQjhlCGxmB1esmP9mW6j3c1rq8upabczLz+WefmxSCQSbC4v60pb2NdgorjRwqAoHQtHJpEdo+fc0cmUNluJ0au5d25O4Hg33XoH6XmjSZpz0Ql91/9XIAgilU0ONh80YnF4yU0MZkTmiRlp/uF06oNFG/nxkxeYPHkKQQlZrFy/FcHYgtNpZV3JKvS6YEJDQgkNDWXOzGmEhoaSnJxMVnwY983L4dtd9fyy37/SfmNtDTdOz+mzs0UqlfS7Uj+MTeVtrDrYhtsHLdYO0qNamZodddKyMqkRWp49q4BWq5toveqoHTjdIYoijSYnH26sos7oH7R/2N3ANVPSj/q+dpuL9eXtqGRSzh+dfNS69fyCBMpbrJQ325iVG0VUt8CkstnCjOfWoJLDzofmBGrZKoWMT/pRIA1Wy0kN09JuM/b5ugQoTArp8ZzLI2Bx+hDxewKdOrT/Us7Cl3vaYuoGMACfNTKZeUPiAZGyJitJ4UE9giSlXMYLZw3h+s+KiNIqiDsGodrtFbhn8W5+7Mz0ZESo+eTq8bRYXfxc7G933lZj5ee99czMi+XlFeXsqTOxoUwMKD8D7K23UGe08+jpefxYVM/03GgMndoehiAlQVI4rDLwz+VlHGww8tL5I1F0y64Jgr8bzek9PkLyrZ/t4PuiRnQqGUUPz+avp+bxyPf72FdvRhRFQoOULBqWgEQioarFyufb/Vm2S9/dyifXjOP0IbE8/fNB/7mqZfgEkUajCxEoabJgcXrQKuW021xsr+6gztw1eRbVda2mbpmexT1fF5EQqkEURL7d02Ur8q8VZdwwPYuzRiVxVrcM3sOnD+bWGVk0m5xUtdtIjdCSHdNbNqG23cbGslYONFgGHMgcarNR3GghzqAmWCUjJEhJaB9ihwsL4/mhqJ5T87v2e+HbWwJ/u7wCX+yp4qLCdM4tSOPuL3dzSkE8d88ZFBhXDitc9JdFksvl3Di1d2lKEASW729Co5IxIfP4SKNeQQxo/ADYPL4+CdsDRYxBjVYpJ86g6fdzPHb6YGY833XfOjw+MqN13DlrEB9uPsTa0lZqO5yUt9iZmBmJuzMNmBAaRDdzb9YfbOLRH/x8yXGpBoJUSuRyKemRwcQa1HTYPQGOzPyh8eQfQUDu6772Ae9vrGF9WQdfXDuWMK2SC8b6F342l5c7vtjNiuJmRPwdelE6FSNTw9lTZ+KzrTUBM9sHfjjAuxsr+e3OaRQkhvQ6TkO7g5LiYgqH5P2hWcP/ZZjtXoprrRTX2rC7fCRGqJkzLJIw3YnbgfzhgUzu8Mnkj5rOzl3bUepHErngXqSqIIIUEnY9OAulov9TOGVIHINidPy6v8mfHk3SDqhtuD+oFFLkUglun4hM6lfx7X6tfbPd7/R69sgTryeHBCmP2xLgrbWVfLm9mrSIYCT42y3z4o/dphsRrOLaSenog45NvsuJ1fPsWYVYnB7Of2Mjb66p4o5ZWVw/LZOKVis+wOH1m3Cq8E/+zWYnbTY32dG6XsGeTCrhhqnpXP/xDpxHlNASQtTcMSObBcN7rix1GgUvn1/IruoO7prTs125OwRBpLjJz/tJDVVwxvBExmT0r+PSHYfdm4f2oQQKMK8gkaqCvsswd3y2g++LGnhsfi7njE6lyexkdUlz4PWyVielTVbCg3vecDKZBJlUQmpEEHtrjRyZpxLxTyzDkkMZntIzS6dWyDi1MI4vtneV6Zbtb2VzZRsTMiOpM9rxeAViQzR8fMXoHpm1gcDi8AfGHq+AKEJyuJY3LxpBZZud+g47Gypaaem08LC7us48XKfioW/3UtJkYVx6GJWtNgoSQpAAH1w2iheXlxCsUXLv13uIN6j5ZlcdLRY3eiV08iJ56NQctlX5PdTmDYljbucqd/G2nqaQThGaLXZiDT0XIjKphPBgFeHBKnKO0i2TGKZlXn486dFBPPBNEQcazJwzPIH5wxKRy6S9usParC5u+3wHO6rNPUia2ZEa7j0llymDuoKWqyanc9XkngsKmaQn6dns8vDJ7goW5SVzVn46P+6rITVCy7mjkgKChS0WF5eMS2ZwfEi/n+NInPnqenZ0ZsGuHBvPA/MLBvxenVrBFRNS+dfKMpDAlRPSCB7gwqovTMmOCpQJ+0NGtJ7N907jyve3Eq1TBhZyuXF6YvVq2q1OGoxOovUq5DIJcf3YlVz70bbA35sqTZwyNJZ6o4P99WbGpofzwCm5NJmdqBRSYjrL3d0xOM7AK+cO5YXlB4nQKtlY1aU5ZXK4sbu9Pcq3X++oZXNFa8AI1ebysb/BxMjUcFIjtIxIDmVlSVfgXd7mxOHpLWHh9gqs3NPBw89/xKkjj7/E+P8jWkxu9h6ydIqqSrA4vNS1uVDKJWTGaRmUEEyk4fdb6PzhgYxUKuWSO57nnWdvZf/3zwAgCw5j/MgCvl1iY+HChcjl/Z9GepSOlXdM4qml+5k8KPK4WlaPxPScaOra7ZQ0WkgKDwqkDwE6rC5u+3IvABMzoog9RnanO9otTqY9t5qCeB3vXTmu1+vNFie/7m/C4vAyLDmUkSmhPW6+iGAlCpmMSVmR3DIjC5VMStoRrcSiKPL3n4qxuLw8Nn8wUqmfd7Ggm89Ok9HOKS+tZ1hiCG9c2jPlD12eI3q1ggaJMxABFySFMTEjnJTwoIBScbvNxYS/L8ftgwfmZHDllJ4pbFEUGZMeweTsCH7e77/J5cCMvCjuOyWPpH5KNqcMieOUIUcn1UqlEq6bnM6hNhsvntd3N40oijSandjdfvfdo6UjXV4fdpevRwpaEATeWVfJiJQwCjqDnu+LGnAL/qzIOaNT0ark6NVyrJ6uaStYLWNQrIGzhsWyZFcDE9PDmJnrv44KEkOparXTYXdT1mQNTJB5scE8eFr/K7S+qFR2j4/Vxc1c+9E2vKLI7LwYnlg0BL2i52TUaLSjkEkJ78eC4o1LxrDiQAOFSaGBYFQmk5IRFUx6pJa4UA3hWiWXvbuJ8hYb4M+mrT7YitPt92eSADq1nKSwIERRZG+DiUaLi5KDbfgArRzsXn/A5kPGnoenU9FiZcErGxCBQVFalt0+JfD5hyWHER4kpa2b2OWm8nYWDhv4PdcdUqmEyyemsu5gMx9t9ouSba828Zdv9hGkgI33zcTQjd/SYfdwsDNQ7k6nbTQ5+GBjdY9Api8su3Ui//i1lEnpYdz9zX4EoMPh5sOd5ZySncCiwSlsKulgzuAYdtcaWba3EZ8oolPLjyuQ2V3TldH6ZEsdaTFhzB4cTXgfmaO+cM3kdOYN8TcbJB6li68vtFtdTHh6BXKphE33ziCoH+PJDruLi97aTFaUjt/21GM+bNUAWJ0edBolUXo1Z49M5KvtEpLCglEppEzJiqKgj25OAL1ajsXdZc44f2gsbq/IqFT/IkCjlAU65P72bREddjfPnDMMkLC+zN/pNHdIPKd0Ev0/3nSIf/xSgiCIXDkxlbgjuEdSqYQwrQqb24GIX0SyINF/rGi9mhumZdJscfB+p+Dd4BhtnzYTl15zO2kFM7jr8tmoTrLZ6P8aOqweth40UtHkQB8kJ1gtw+sTUcilTBsSTmqM5oQUrvvDv0WpR6szcNMj77J73y4OHChCam6g/uBOzj77bJJTUrnzjtu57LLL0Gp7D2SiKPLplkMsO9DKsgOtnDMyJSC6d7xIjwzm1pnZNFtchGmVROq6BoQglRy5BBA57ozK40v3Y3R4WVXWgdPj61HO8PoEPt5UzWsrSnGJMCEthPtPyycntivjsnBYAgsK44+aimw2O3l7XQWiCGcPT2BPvZEnfzzA8OQQPugMnq7+cButNje/FDcjiiJ3fbGLJbvquXV6JjdMz+TuxbtZtq+JxDAN2x6YgUGrwusVqG6388jpeaRFdXVG2d0+DivOH2bmg//32FtnZkN5K8WNZlaWdOkFadRyHluQT+QJ+jo1mR0U1RiZkRvDHbP7z9iIosj3u+t5c/VB2mweJmRF85c5g/pUpnV5fWQ/sAyA0/Mi+edF/s6TH/c08ObaSr7eUcvSW/1KuU8uzOP538p4/WI/FydMq+Spswp4/Mf92N0+LhqTFJiInjl7GM+c3fM4e+tMhGuV7KjuQACigpWEB6t4+PTBjEjpny81Ky+Wr7oRp+ODpYxIDuXrHXU4vSIicKDBQovFhb7bqvpv3+3mrQ3+Lp9Xzx3C3D4yTUp5/5wLiURCRpSO7YfaWFnSpQwsQg/HeQCT3ct3RQ2kR2l5e20FFd2uCZsXZPgzbtdPSUOnVvBDUUNghVvcbOsh4pcWGcySGydz5ksraerczeM/HWBhPzYa6w428vbaQzx7zlDC+3G9BvosDTk94PQIdJ+7EsM0XDwmmS+31xIsl1BpdKOUwXmjk7lm8rG7j1Ii9bx0vr/TJSpEy3UfbMXu87uDf7O/mrFJkUxKiebXnW1EhsqJ1Kkw2d19ukgfDffOy+JvS/1lvegQDR9tqmRfvYnHj/ASqzM6uHvxbvQaBc+dXRAYfzw+EZlUilYpO+4yR3GDJaA0Xmd0kNmPkOi+OhM1HQ5K6i0cSZtduqeBczp5e0MSQkiJ0NJudROkkhEZ3L967/ScGD7YXBt4vHh7La9d1HthtrO6PaCmOziuHKcAz//mF2e8fnIqdg+cXhDLWcMTiAhWse1QW6e5pEh3V65FhQnkxOjZUN5Cg8nJ3LxYhiT0zAA+eFo+i4Yl4PSIDE0Mod3m4sK3NnLO8AQunZjJzoNNbFi3isKh+Ri0/7eDmJoWB8t2tKJRSZmSH0ZWnPakNtX0hX+r5ODQvAKG5hUEHleX7eHnL17lpptu4qOPPmbTpo09thcEkXFPLaepk+ynlPrr8l9uq8Xp8TF9UDTTcvq2CugLDe02Fu+o5fqpGciOMCFUKWQMjtWyt8FGk8VBimrgF+ONU9NZsrOBKH3v9lmry0tViyXgG7XzkJEms7NHIAPHFtuL0KnJitHhdAtkRgeztKgel1ekydLFnL9uairXflREmEbuT+Hv9E+Ob64tJz1Kyxfb6wDYV2/hqg+28+pFwzn3tXUBF9czh8UzIzeaYJWC4ckhvHzuEEoaLVw9JRNRFGm3uVlb1sLTPxXTZnUTrVPi6+ZwYXd52VrVzrz8E2tjfvzHA9S0O5DLZL06qg5jW1U7z/xcTG27jbrOGsYX22rJjdVz+tA4qtpsFCZ1Zbwc3YgCq0q70sPj08JJj9QytlvL9xkjUzhjZEqP403KimJUajgen0CwSt7v71TSaKa8xUqwSobH5w8+NAopQxMNDIo9umja7LwY3r5kBKtLmtFpFJw7MpEwrYpzRyZS1WqlotXGvPxYDBoFq0qayY3TE6VTB7g7AN/uaugzkBkI8mIM6FRSLK7++Tc+oMPu5pHv92Prw6XaB0zIDOecTnL3aUNieWttJSKQE63tVfpMDAti04PzOO2fq9nbYKPN4uGvS/YwLz+WUanhgcyrKIpc+I6/E2b+y+tZd8/0fs/xl329u+jGZ4T3EvtTyWXcNmsQF45NJbRTmFAulZzQYDspK5IrJ2Xw6qoyPJ23wsbqFqINSgzaKIoPORifEMOWmhZqW629FjpHw5WTMhmeHMa2qg6GJYXy9oYqTh3SO1tU0WKltsOB0uKi3eYmLkRDSaOZF5eXsr/OhE4t5/wxyZw5PHHAq+Ax6eGcWRiHVi0/qtDk+IxI7pyZhcPt4oll5T1eG53aM3jXqxU9AvH+oDli7PX6BNxeAZlU0iMjH9VtIZoTp+PdTbWBTtEfihqweXxsLG/l+5snMntwDEv3NuD1CQgCHF4Li6LI3BdW0W53s/SWyTR22Lj1sx28fP5wEiJ0HGyy4PGJJIRqyI8PxSuIONw+5r24hiaLh4d/PMiCwhR2VLl545NlzBr+f9vl+lCzg593tJAYqWFmQcRxl8JPFP8x7WSbxUhHayMOmwm5XM51113baxuf6G95k0nh+xvHI4hwydubaLb6V4tf76jhbwuGcOaIgQ3gp7y8HqPdw4FGC/+6cESv13fV+1Pr572xiY33zRrwZ0mNMlDy+Fxsbj+hbkd1O/UdTk4bGkewSk5KpA6VpBGXCIXJIcdUUe0LMqmEH2+eBMAzyw6weGcdl41P5s7ZXWz5OYMTqXrK/13UdnTJaRckGDjY3FPHZ1d1B88sK+5hRb94Rx2Ld9QhB+4/LQeDRsnwpFCGPPxLny7H1UYX3YdFnwh/+Xgng+8KCahmljWauPz9bZw1PIGbZnSVp2wuD2q5DK8osnhrNRWtdgoSQ5BKJeQfhR/kV+J1YXL0XP912D3MfH41RoeHO2dmcV0neTIkSMn8/ChWHWzhu06nboAwnbpfIvOR6K+zCuCTTZW8sLyU5k79fpkEkkLUiEB8mJasGH3ADftomJ4T3auDLlit4G8Lu0T61pa28GNRAxanh9SIYB6dP5irPtyJAnjyzL7FvI4FURSRyfz6QF9uq+a73fXsqjbi6qPe5fWJOPshjMqAX/c1sWxPIy+fX8ic/Dg23zeN2nYnQ48gfR+GRCLhtYtHcfX726jpsLN0TwPV7XbMDk9A4VkikRCmkdPu8DIh4+gtxEe6E8fpVcw8Qtn6sKCmTiXvl6NxPJBIJNw2K4uM6GA+2FBJo9nFoBgdV05JJS9OT2mDjVd/q2BsYhQun8Cm0nam5A6M7wVQmBxOYacO1vDUvj//6JQwsmN0GNQKwrVKvtpew5trKgI8M4C/fb+PaJ2aaQPs0pRKJTw7gO44iUTCReP8nMLZgxNxeX1E6dUoZNIAX+14cfHYVBZvPUSbQ0AlhYkZEQx64CeC5PDWZaMZ0ykcGh+qZfeDM/H4RCJ0KjRqFSWNFkRR5P55uby+roIzCrvmhodOzcMrCMi7kejXl7ZQ1e4fA5dsO8Szy/2dVwte28y5IxM41ObAJ4pEBivJjtHx+qpy7B6B4G4f7Y4nXyc6KoGLrj/9hD7v/y+oarLzy85WkqL8QczvoYEcL/7QQEYURexWE+aOZkztLXS0NlBZvJOK/VupqyoBIDEpmbAzH+GhAxF8/89fWHyzP4DwegUsTi8/3TyZNoeTnLgQ7v+6KBDEADi98O76ygEHMkMTDWwob+0l238YBrUUk1PgyQW5x/U5i2qMPLXsAI0mJ3EGDevL2/zpeYebBYUJ1BntnD8umWidhmHJoQw6AYdWgC+3VvPA13twiX4bgg6Ht5da5mGoFTKk+GvMQ5LDuHB0Mi8tL6PTwxG3CCv2960D4wV+299EZZsdp9vXZxBzGEe+ZsW/cj8cyFz8zhbqzW7+8VtZIJD57UATz/9yEBApbbDQffp5fH4OP+2pY9bguD61MRYVJhASpOTXfY18s8t//tEaGJMWxtfbazA7PL10WF68oHda+mTA5vJy/5L9dJ/apYAuSElunJ6sqGAGx+lZW9pKQqiGtMj+V7YDQV6cAZvLR0iQggeX7EEmlbDjrzMIGyBnoi9k3LcUn+i3K7hwTDzPnV3A7V/sYntVR+BaAX+gopRJAgrORyIuVE1Nh39CePG3UubkxxGl1xDV+RsKgj9LdXhw8wkiUgnsqTWhkEtxenxYXD62VbUTFaxicnZUIHjc9tdZ2D2+YwaEj87Pp7LZSnWLkfRoA69dMqaXz81v+5tYUdzMoFg9F41JPikpb4lEwukF8czKi8Fo96BTywOTeFKkhkqziV/KGliQm0jxITlKSQejs0N+90AviiKbKtqo7bCzraoDqcRfzvn7T8U0W3sGdTaPyIri5kAg4/L6aDQ5UStkRB2HSePRkHycpbP+EB+qYcN9s2gwO4gOVjHnhTUIgNUL5765mQnpobx6wTB0QWoMnTSArVVtyJCw8s4pQKcVxhHjfFhwb8rA6oNdpfHcuBCUEv/YCLC5oi1QVtfLYUeNEVunsrIPyI/RkBoZwg+PP0RcRh51F8wk9SR9B/8LEEURo81LVZODqmY7TUY3aTEapg/99wYx8AcGMht//ZIvXnsQp6On0VZmVjZzpk9g0qT7mDhxIh0SPYte83s0bavvWmVf9/F2ShotPL5oMBM7Ww/tHh9HwtHHc/3h3ctGH/X13Q/PPerrfcHp8fHwd3sC3QUVrV2f9+ll+9Gq5FS22IjWq3u41h4vmsxO7vqqy4BSJsKzZxX0u31EsIp1d0+hyexiaGIIBxot3Dkzk6d+6TL4a7b3H6IkhQXhEyA9QsNnW+sY6LecGqLosdI9dUgMb6yrJrrbILK7poOaDhtmZ++93v+tv+3yr98VU/7EvF43hFopY15+LGPSwhmREkabzcWo1DBGp4az4s6pmJ0ewo/i4nwslDVbWHGgCYlEwpzBMSSGafH5BPY3mpFLJWwsb6Ok0cLEzEhm5EajU8swO30oJHDPvEHMzY9BKZMjlUoobjRzwwebaXGIZEeoee78EeTFnbhceZhWyZzBMUx/5lfK2/wT1bXvb+SL66ec8D4PJ15cwNub6jhrdBo3TcvkwW/3UtdhD9hEaNXyHl1N4Hc0T40IIjZEw8SMSP65/CBWl69XK7HZ7mLIo36l4x+uG8W6ig5e+K0Ug0bKpRMyUcqkgWDQ7hZosjh7tApLpRKCO40kX/y1mLVlrcwdHMNVkzJ68OWkUilvXDqavId+psZq4pQXV7H8rhk9zmVPvYmKVhtIwOr2DqjUMVCoFTJiDLJez/3rwhHsrzcTrVdR0WBnd6WZhg4np4+K7tFif7xYe7CFqz/ajlwqYVhyCOFaFbEhapQKKZ10vx7QKP3HKm40882OOhpNDhRyGfnxBs4YnjCgzOFAUN5i5UCDmVGpYUSdIF9OpZCREu4P/C8bl8zDP5YEXttY0cF5b23hh84MdWWLjQvf3AzAyrum9KtQ3Rdun5XJgUYzYRoFU3JiKHliHgtfWsOuemsPbqDZCz5bV/ba7oU9jQ7MTil3PfsV+5vqWVnSTEp4yv9027VPEGk1uwM+Zk1GF3aXD4VcilIuRSmX+P+WSTDavJjsXuQyCQkRaqbmh5H5b+DD9IU/JJBZseQdvnzjES6++GJOP/10YmJiiImJwSoNYlO1nWmDogLksVh3V/AS023+8Xau4IRuc92krEi+31XfY6U4oRvH4UjYXF7+8XMxHp+PO2fnBKL3w2g12bnzqz3cNTubvOPoJuiODpub3bV9qw9a3JAWqeXUobFMzBx4OrkvaJWyHquFhcP7JnB2R1yolrhQLaVNFs59fQMWl8CMrFBWlnYgir2zKd1R1mzmk6vGoZDLePyMAp7/tYQXl5cBBDI9PY5lUGMIUnDHrOwAidpvQunPmiwo6OLNnDEskZ3VRtaVtXE0eH0CMqkMo93dq7wTplVywZieAoAKuWRAQYzN5WXZ3gbMDg+zBvtdd61OD9/sqOav3xUHtntmWTF/m5/HY9/vw3JET/XyA02kRmpZdedUdhzqYGhSSIDk3G5zsfJAE5WtNloc/h+spNXJ/nrz7wpkDuNwEAOwp852zO2X7W3g6WXFXDEhrdd3duuUVF7oNCEEv4fWhMxIXji3kOd/KWFl54p1SIIh8HtdNzkVtULO8ORQNEo50XoV8SEaLh2fiiCKvfgw1e1dE8JHW2r5rLPV3GkV+HprNUkRwYSqpRidImqFlNGp4QT10YX25poyXuo81121FiL1GhYdQRBuMXaVU3Kje6+Opw+KRoKEwfF6dP1M3C6vD6WsbyfqE0FciCYQ3P9l8W6kApyem8rqve1MHxp+wsdRKqRIJSCXSHj6jKHEGPxijS+cU8g/fzvImm73V4xeyZy8WEwOD59tqebbXbV02P2Da2mjGb1azsJ+bAeOF7/tb2JdWSsyieS4LFoO4+mfDvDxlmpunZHBZePTuWRCOnOGJCAi8sH6Cj7dUsPF47r0hgwaGarO4C3oOC0+NEoFHx2h7F1yRBn+MAQRkkKVVHd03X+JBi02hx21Vk1xg5k2m7vPpoMTRU2Lg6iT5CPWH0RRpLrFya4KM80mFz4BZFKI0CtJjQ5Cp5Hj8Qm4vSJur4DHK+D2CMSFqxiXE0p8uGrA3lt/FE56ICMIAsu+eBmAvfv2k5ycTGxsLMnJyawo8Xe6JIdrA4GMWqmg4ol5uH1Cj4nq3rk57Ko1opRLOfPFX9nW4CYtGG6clsk3u+oQBJHJWRHcPTenX8GpxdtreWfDIQCiDUHceIQfyiXvbeNAo4V99Wa2PjDzhD6vXOZvg+6Ow5bwKWEqBsXqKUjqv2NloAhWK9j8wEwq26zEhwT1ILqtO9jE9Z/sJCFEw4+3TOr1PdjcPhydKVGvRMq+R+fgcnkY+rfl/R5v6yEzX+2oDagF3zYzm1PyY3l6WQmbK1qxdBI+5VIIUctIjwwmP8HA5KyugK3R5KCpsxT4+roq7j3V78CcEqHl+bOHMvKJFb2OGyQFZBKunJiGSiFjV3UHb66tJD5Eze2zso/bi6gvfLL5EI8v9QcsS4vqeOWCEcx+cQ0dRxjruQX4yzf7+tyHzeXD7RUIC1Yx4wgRtnkvrKHR4sag7nmu3Ve8JocHj08gXKsc0ETmE0Rq2+0khgXx7IJs7lziX6G+fP6xeQy/7m/C5PCw/EBTj0BGFEVEqTSgpSIBGs0u8uL9XSZvXjKSC97chMXp4bULCnl/QzVhwXLOG923zpJEAtLObhCby0OHzUNCWBB58QbSI9SYHF5unpkdCGQAStsclHaufLMilJw1OpVzRyb3+Z3sq++5YChutPTaZsHL6wN/z81PQhRFDrXZiNWrUSnlDE0MYWgfQmbg/46HPLCUwybom++dRnQfNgG/B2cOS2RtaQvjcgys328iKkTJkJRja0b1hdGp4Sy5YTwauZQYQ5e7+IiUMJ4+q4CPNlexpaKdcK2K88ckMSw5lB3Vxk439q4V4r56Mxsr2hieEtavbEJ/aDY7Wby9lpxYfYCgPzY9HJVcesJB+9pSf+v/8v3NXDbeb5kS02k4e/e8PO6e1+Xkvrq4gbsW72FGdiSPnzEUjVKOKIo8+dMBlh9oZnpOFPfOzTmuYHFmbjTfFTX1el4qlaBWKqBbMby4ooyv77qWBbc9S1TeCJzHUSE4Frw+gV93tSKIkBWnZXCy7neJxvWFxg4Xm0qMNHa4iA1VMSY7lKgQJRF65b+9PPR7cNIDGalUyv0vL2P/9tXs276a5198mcceewyDIYRp06eTP2YyaSNPP+I9EtTSrkG/pt3O4z/uZ1eNEbVCFujMqbDCm2vK8QoiD5+ew1kj/Gq2C15ZS5vFxcdXjabd7iMvTo9CJiWim3BZeB/10UvGJfHI9wdYOOzEumzAX8K5ZEwi722qCTx308xszhmdTJBSfsIXg8vrY3+dGa8okherJ0glJ1SrJFTbFRSJoojL4+Oaj3dgcwnsb7Ty4YYqLh7fc6LJjdXz4CmD2FdvZlRaOGe+up4onYogwE7/qGjtudrPitFz+cRUdGo5++rNhGkVnYJjUhJDNcwviO/RFdGdu5EW1jPFHKnXsPGeafy0p57wYCVbKtoJVstRyqUYglRcOTEN8Ltg13bYEUQ/Z+pYgYwgiHy2uZpl++q5ZHwK03N6rwhLGromwIpWO15R4PjDI5E2i6vvlzoHTa1KweUTUilpMDM8JYwJmf7s4eLtNdz5pd9+4eLRiTw8P/+Y6dipz6ygusNJQaKeJTdM5LQR/t9Y1Y/vTXc8vmAw3+ys57ShPb+LL7cc4sUVXZ0m/qbUrqhcLpPy+bVdukg3DNCt2+7yMuMfq+noJF5fOSmd5Xf6u41EUeTsYXF80YdP18FWN6JIvyWOU4fE88OerglmWh8CbWeNiOHNjY0ADEsNYfCDP2HrbCfa/sAMGs1O/rGsmEi9ivtPyUXfTV9mY1lrIIgBuPDNDfx6Z/9dUieCKyalccUk/7VtdQhsKjYSoVcSF3b8JRiJREJWdN9BUIxBzZ2zBuH0+FB0EwX0B5s9IQKlTRYWb6vhmsnpx0XSrTc5KW+x4RPFQCAzJCGEIQkhiKLI/nozLq+PIQkD5wR9ftUYfthXz4KhfWedG00OHv1+HykRwSzdU0ez1cM3uxu5ddYgEsNktNncfLW9FqPdw1fba7l6UvpxZUmeOKOAsOAD7DjUQYPRhVcUCdHIOzMyWg42dY2LLVIdkxddS3JKFhKlDL3m5AUacpmUcyfFcaDGyr5qC/trrMSHq8lPDiYpSoP0d2QM2y1uthw0UdXsIFynYN6ISBIjeosL/q/gDyktGcKiGDvzLMbOPAvB5+NQaRH7tq1i947VLPnmax79y80Mzh/CB++/R2Fh7xVldbudvQ1mrC5vLz+fw2Srfy0vRa1QsKAwHrdHwOn2MumZNQCkhSlZ8ZeZzBkcx3uXKfAJIrmxOs5/cyOTsqK4tlOp8+yRKZx9RLvt8UIikfDwgiHcNTeHt9dVYrS7uWxCaq/27v4gCCLbDrXj8YmMTg1DLpNidXq47+vdrDzYiiCKjEoJ45mzhhJxhIbGGa+sp6rdRohajs3lD/Zy43oPbEq5lIvHp+P1CYx94jdabB7A0mNAu2xcEutKWyht6SoDhAfJSLv3R3KitPx42xQAxqaFE6ZVsrminbJmC1KJP00/NCGErCNIzCqFjNLH52J1egLaPC6Pj5eWH2RUahiTsqO5fKL/t5hfmIjd7eX9DVU9JrJxaRE4XV4+3VJNZZOJSJ1/sBRFkb31JmL0KiJ1XavmffVm7vvWL2y4rqydDfdOD6zmDuO8McmsOtiE1eXj6kmphGhUzM6P4eNu2hX9Yf7gKHbWW7A5vYj93PM/3TKRNSXNTBkUhV6jxOUVUMn9pQqX18f9i4sC236wuYYrJ2UEyNH9wer0B001bf7QcyABzGGolXLOG53U6/knlvbONl374XYKk/RcOi6NaTkx/ZLJD6PBaCdEo0TT7Tezu73+jJNX6JU1kUgkPHlmAXa3h6J6C7HBSjZXd2Va3lpTypnDk/o0zpyTH8unV45mZ42RMWlhDEvunem8f/5wbp3tQSmTIpNJA0EMwE9FtTz1UzHWzmq20+3lxfO7uhePbBVtsXlotjhPmOdxLIzOCqHF5ObXna2cMT6GYPXJH46PDPwzooLJitFzoMFMW2cGMj9ez4iUMNKjgo8745kXp+eCMUnE99EBVtFq470NlTg9Pi4am8LIo2gpdUeQRsHZI/r3jft+dz2rD7aypbKDs4fF8draKiKCFTy1rJghCSGcMyKBWIMah9tHjEF9XNwfURR5d20lS3bVY1ArmJwVDhIpcSEanB4fVW12RqWEsKXKCIBMImHmmVdj83oYlKQ9qZwrgCCVjOEZBgrS9FQ02tl7yMKyHa3oNDIGJ+sYlBA8oLKTKIq0mNxUtzipaXXQZHSj08iYPjScjNig/9kA5jD+eGVfmYzUQYWkDirk1Atvw2ruoHjnOn767J9ceeVVbN26pZfAXaRORVKIBrvLi04tx2V1YzqifFNj9vDjnnpi9GoeOC2PRqOD2ztXuRXt/knd4xV4f0MVdrePOYOjKWuyYLS7A4FMd9z40Ta2HOrghXOGMjo1AqdXOK6ViVal4ObpWT2e83i83PL5LkalhnHp+LQ+37fmYAuXvbcVEfj7ojzOGZXC1zvr+KGoKcBDWVnSysebqrllRs/9hwWraLI4+PjK0fxQ1EhBQggj+mnRPIxusi+EB0losfufeHdDNWq5hIhgBa1WD3MHR7G72oQgwoFuK5ClO6tJCFNxybgUvD4BiUTC2Cd+pdnq4a6ZGdwwvacCsEIm7SFU9sTSfby/sQbpqgr2PzYbdTeLiiClnGsnp9NmdbGqpJmJGREYghQUN5nZU2fk2k92suPB2QBc9e4Wfuvkb/x2+0QyovwBXHeSqN8aoDcTaHhyKD/dOpkOu4fnfinm+d9+weUVe20HEKNToVFKGZkazrWT0kiL0tFgctBicTKku0FMN4RqVczvxt3oPjmIYm8S5kBw6tAEPt1Sc9IGHJPdhbGPhJJbgM1VZjZX7QJgxe2TSIvSUdVqJUSjIKTbb/nppgruXXIAmQTKnpgXOLcInZoHT8tlV42Ru/sQNpRJJbx8oV+YcEN5K+d3EjUBooJVvRzcW81OzntzIwmhQbx7+ege2j99QdttMlHKCHgOTcqO5sFuHKg6Y1fQ7hNEDrXZUQOHKZ2Z0TpsLh+cWJPhMSGVSphZEMFXGxpZtr2F00dH9+tef7KgVys4b1QSaoWMBpMDhUzK0IQQFg6LPyH7F4VMyrB+7EBkEgnSzn8mu5svt1WzqDABWbesbZ3RQUWLFbPdw1M/7SVYJefzayagP4oo6YzcaJYXN5EcpuX2OTnMHRrH3348wL46I7XtdoYnh/LBFaPZWtnOiNSwAQdnFqeHrZVtvLa6DJtHwGT3cuHoJE4viCdCp2ZXTQcPfLOX6nY7GoUUUQSp6GPzz58SkjOKq6dPPPZBThAyqV/SPzNOS5PRxd5DFjaXGNlaaiIrXkuUQYkg+F3sfYLY45/d5aOm1YnTLaCUdxJzh4SREav9nyofHQ3/dh2ZYH0oIyafRmhkLM/eeQbvvfcel19+eY9tMqOCuWJiGl9sqyFIKeP6qRmYHR6u/3gbZmfXxLSrxsh93xRhcnhIC9eiV4DZA1eN968+m61O9tWb8QkiWdEZXDA2heJ6I0MfWsal41IYkRrO8JRQgpRyylvtONw+SpvsrC0t4WCThQdOySM18tjtdG6vj2s/2o7bK/DGRSMCct53LC5i6d4mftrbxAWjk1H0sYpus7kCE1u90dn5v6MXmbbF2nvWeaubDcGN049dZ5fLpPzjnAIe//EABpWEhHAts/JiuOXTXbgFcHtFfr51coAw6/MJtL+1iWsm+L/P53/Zy4sr/JyjiifmBQhe7s4gwOY+dn14WGIIH2ysQaeWoewjayWRSHh9TQV768w4PT7mDI7l8rFJfLWtDqlU4NK3N/HYgnw2VXYRGS99ZzNyqYzvbppAXrye6ycl8e3uRm6amtXnStEniHy4oYLXV1UGhAr7wrzB0cwbEocoihQmhZLQKfMea9AQe4LcCbVCxuNn5HPXYn8H2gUj4wPO00fDzdOzqGrzO/MeDwRBpLzFSpRejUGj8Jd2Xl3L1ure/BKg0+tLgiD6yfb/XFHKhaMSOfONLaiksOvh2QEH5Q67P7UhiP4ArXuMde6oZM4dlUyjyc55r23gsgkpzBrcu4Q7LCmU26Zn8N6GciKCFDw0f2ivFbRHEHD5xMD1JYoi26vaSYsIIkx39O9u/yNz2NtgJjVCi0Gj5OZp6bywohy1FO6em0uTyc6YJ1ciBWYPjmHK4GgQRYwOLwsK40k5Rqbs90KjkjGrMIJvNzfx5fp6FoyJOWH9lYEiM1rH2SMS2FVjIjRIwbj08D7Hpt+LlAgtV05Mw+X18cKvB6lut+PyClw4JgXwdze9u86vVlzTbqPV5gU8XPLWOg62OLh2Uio3zewthZEaEcxnV/tLnqIo+t2p60xIJBCj16BRyAjTqgJaRN1xmMNyZHCzrbKVM1/f3OM5EXjmlxKWH2jiqTMLeHpZCc0WJ0FKGV6ffz9Kp43Frz/C6Kuf5o01cdw7L/cPJ75Gh6iIDlExdpCP/dVW9tdY2F/tJyj7RQMJiAdKpRJUCik5CcEkRaqJClH9fxO8dMd/TBAvPXcEI6fM55577mXhwoWEhnZF9RKJhMo2W+Bi+7GogQvHJBOp02B2dmUHrE4frZ154na7iXHpYfzjzKHEdk44iaFB3DYzC6vLw5jUcMZnRDLisV8wuXy8uLIcVpbz2dVjGJMWzudXj2FfnZHE8CC+2F6HXOpvNRsIrC4v5c02BFGk1eZC7/Ox/EAzRYfaAVDJ6ffinj04lqK6DuxOgYvHpeITRCpberLmFVLIiTkxQuCRmJwdxbJ9DXy/u4Eak5uDTVaC1XKcHoHbZmb16PqRyaR8dk0XRyI8qO+06eb7ptFkdpEUcWydlPnDkpieG4tKLu2XFzIuPQKb20d+ZyeZXKHE4vLi8ok0l7ZxxmsbeHj+YO5evIfQIBmNRjde4PJ3NjE2PYxbZ+Xxl3n5fe4boK7DwT9XdnXq9NWqCn6Nk76EE08Ul7y9iYNNVn69bRIzc2P8Ql7BAyP7RujUfHDFmGNudyT21Zv5bGs1GVHBXDY+lcpWK1urLcgkEtLCgsmJCiEtTIdSJu1Rc/cJImaXm0i9ksY2H6MTIzA5PUz++2qW3DCaS9/ZRIfDw9sXDSMz2tDvb3nmqxuoNbrYVNVB5VO9Axm1QsaN07M4b0wyaoWsz9R8bEgQP98yKXA/3vf1Lj7dWo9CCqVPnHLUzy+XyyhI7Bpbbp01iGm5MeyvN3Go1cbLK0s7PaKgxeIkIliFgASDRkFymLbP38Zkd7O5op2hSYY+tY6OF19sP8RXO+s5Iz+F2z8q4o5TMsg6Sfc7gMnmotnqJiMqGIlEwsEmC9d9uIXyVidyKTx0Wi4Xjvlj2oYPqwLPL4jjqx11TMnuagbYWtnO0t3VtDt7vmdnvT9T9o/llVwzNRvlUYIso93Dl9vqsHsEpPjlOPT9lOjKmi1c88E2fAK8dEEh+fF+Hk9RjYnPt9X0+R63DzZVGbntsx3UmVwkhQWhkEnZXdOB2wfT0tO56OsDLC2r4ed9TQxOCGFh4cnp/joWglQyRmQaGJ6hRxD9ZsP/6yWiE8V/LJABWHj5vTx+/WwmTprMT0t/JDGxKx3vE0Q/MU0i8afILK2Et+yiudGKJliHTKXF6FTgQ41UqUEilbHjkJG/freP1y4cjryzfdLl8bGnxhjobHr09Fyu/3R34DhZnd1TQSo5V3+0HYtLIDRIzimDY1lZ3MT3RY2cNiSWC8emAGDqFLzqPnCHaVU8feYQ3F6BpDAtQx5ahtnlQ6eUkGBQ8dIFhUgkEg612TjQYGFcRnhgwA5WyXnk9C711haLqxfJdt6QOM4aoOjfQLDuYAs+j48gnZL5hXG88MtBQoKUXNz5GfvDxROymV+YglIGRrsLj08g2hCESqkgKeLYteHrP9zG0n1NLBgSywvnD+tzG0EQyYjUMjlrcOA7brW6eijNtlrcTB0UTflT/kzRzGd+obTNw7YaC9tqLNS02bl5Zi5P/1zM5RNSGXVEuU2jlKGU+ssoACOSQ1hYGM8zPxdjcfr8E5sIjeYjRtgTgNPt447Pt2FyeNlbb8Hm8bG33sSY9L7b8ffVmXhrTTkahZSbZmQRexyaGH0hQqckXKskPkTNqytLKGuwMCjSwIz0WIJVCpqtDrbWtmJze/1ZGNF/34VolEQHq2i2OpFhYGxSFOrOCeWrjS2khITj9pm56qOdaJUSdj80p89gZmJGJJ9uq+1BvD8SMqnkmDyU7hwcqcS/KDjRIbu0ycp3O2vZUGkMPKdXShiZGkZpsw1EkZQILVnRvQNzURS57L2t7K4xkhCq4ZfbJx8XX6kv/LinkUqjjf1NRuL0Ws5/cyPb/jr7d+2zO8Y9tRybR+Tx+bmcPSqZX/Y2UN6p6O0V4NWVZcwZHNfDe+5EUN1mpd7kYExa17Xt9PiobreTFx/CvPy4HtfIkXPupMxwZuRE9ij/SYAOm5PSJgsjUyN6TdRalZyCRANNFicSoMniYkVJM5eO691Zt6mijXqTE0GEt9dWIJNI2HmojYr2rmx3qAI6jjSNAnbVmsmKCkYulVLcYMLl818L8VoVjQ43Oq2adqedn/Y0sKDg6L55JxsSiYR/kxPAfy3+o4FMaEQsdzy7mH89dBmjRo3m8cf/Rl5eHtnZ2Qw1uFi/9FfKi7bQVLKTv9YeOsqeJCjC4glKyGZnbgHbBsHwYQUoFAreXVeJ1e1jxKPLMLohRitFrwKzC5INMsK0SkRRZPGOmoDXTIfdy0dbaojXK2myuClvsTAmPQK3z8eyvU2MSA5lUlbPiWh0WtdkGapVYHb5mJYTzRMLh6LtXCFsrmhjR7WRiGBlvyaCQUoZsQaNf0AFFMCcQeEntXb+z/OGUdJk5dxRSWytbMMtQLPVzd56M8OT+653H4ZBq8Ll8THub8vwCbDizikkhvUsvz33ywGW7GogXCulpt3Fp1eNITPGwM/7/R0nP+xt4IV+9n/mq+vYUWMOdOcAxBg06FQyLJ3qbMnhGgzdugNK23qOPJur2vnnioNsrmzH7PTyyVU9A5lInYrPrxnLF9tqGJEcyumFCShkUs4emYTHJ1JvtHLb50WcO7IreLzxk+102Dx8eMWo4zIt/WRLFT/u83N5pmeEMis/rt8gZuehDha+uiHw+KvtdWx7aBa630EgjDVouH1WNvd8uYOle1uZlRnHgtwoSlpMrKlqQhC9eAS/J5UvsKoDvUrOGoefDLq+WoEWD/VOKVFaDXdMzcTm0jEsPhyn10dFm5nvdjQwd0gUqiN4Fk+eOZRHFuSj6GOkFUWRmnYHLq+P1Ijefkz94fFFQzl7ZBKp4SemlDw9J4rf9jX0eG7nw3OxOD3sqjEiiCKD4w39ahK1WV0IIpicHrw+kd9bCZqcHcGBRgtKuQyFVIrqJPNk1AoZdo8XpVzCTZ/upMXs6PG6IAjc9fl2NlV2cP+pOVw0tm8+39Fgsns47aX1ODw+7p07iMsmpOFw+3h/QyXbD3WglMuYlRvN6QVxgUl+ZEoYpxQksb/ejCFIQUFiCGtKu5nQdpZIxjy+HJcAt0xP47aZfksWURS5+v0trC1rZ2FhHB9eOYYOm4uiWjOL+siI+ASRU/JjWVvaSm27nSW7GnptA/4gZtagMH4pbu/xvAgo5RIazQ7MnfOEwVjJ89ddQt41LxGfkoxBLae0yUpVm43UAWSn/8TJw380kAGITcrirueW8PZTN3DFFVf0eE0ikZCQOoisYVM55eLRpOeOwOUTaDcZEZw2PA4r5Y2NGI3tWOrLaanay64vVzP2s3+gUqspLBxGeEoOIdFZbHdGINNH0WgTeHR+HmePSKTVZGPy0yuYNziaV9dU9Tq3OrMbhQzcXoE7v9zJzEHRKGSSHpOo2eZi7gsrCFbL+fGWqcjlclbeOa1P1dCJWZFoFHLKmi0MjtPTYfewvLgJq9PLuIwI8uMNaFVy/jInG7VCypaKdoxOL3d8tY+5Bb27TsCf5v548yEGRevIizcQqVMdc6ItTA6jsLPjIzfWwNCEEAByjsM6QSqCV/RnS7oHMk6Pj1dWVuATobpzLLj0va2sv2cGj5w+iMeXHuSx03L62at/QOz+P4BBo+CHmybw8soy9Co5N0zL6DHpKaCH826DxceqkmZGpIRxRT8k6+7fwWHIZVLkMkiPMvDdTV3EPZ9PYPmBZkQRylssZEYPXB8jrhuXZmhyGOeMTul325s/3tLjsUuEfXVmxqQfncB9NCzf18DffthPZJCWK0Zk4vYJ7GpoJClKy5ezR7LiYBvvrq9EFLuyoADRBjXjMoL4dX8L/7qggOEpkZjsHoJU/hZ5l9tLm8VDSb0NQRRobPHy3op6QoJlDE3Rkx0fHJiw+gvCN1e28/rqcmxOD4uGJ3LOyMQBr2SHJh494D4aQoKUNJp6Cg+IokhIkJIpfbR0d4dEIuHF84bx3oYK5g+JPyl8lttmZlOYEEJlrZc6q4Wvrx//u/fZHVsemIXL68Ph9rG8pI2UiGCq2my02bxIgXn5sbzT6SL9128PcM7IlONeOAmCgFcQEUR/qR38CsKbKtppNNmRSCSsLpUyNiM8kH1LiwzmuikZVLb6aQROt4/nfu1SHncI0GpzE6yW47J7ye7GV2wyO/m12B/0fLm9lkcX5KOQSZme09t+Zk1xEzd9totonYLPrhnP3V/tZl9D3xwxgFUl7X0+32By0mrrGmkKMzOJnHMBZRIdUT4BhVyK3ePD4vD2+f4/8cfhPx7IAOhDI7nt71/gctpprqugsaYcpTqIjLyRaHUhvbaPiuy6WIce8Zrb5aSmfC9VJbuoLNnFllW/0tLwNgDSoBBUcVl80jAWzaJZ/FCvpq7dwVvrqvo9N48PPD4fu2rMeLwijy8cwrrSVjZXtnHlhDQmPPkbZi9gcXPh6+v47IYpSKUSdCo5C15ZR3SwmodOz+GR7w8wNj2cVSUt7KzpYEN5u1+qv92BCOhUZdw9dxAXjElhcHwIr1wwnMXbqrn/m31HFaka/uivdL9txqeH8fFVAzNDBL/0/FcDGDhFUWRDWSurSppxegWm5UTRbPXw4cZDWF2+gHKxUiYlXKug2dp1w5+W7/+9LhybzoVje3eMdcf3N01kbXkrE9N7dqYkRwTzTD+WDP+6cAhXfeTvWJNK/ORTo8PHc2cXnhRdB5lMysXjUmi3uALdUQPF7MGxfHKlAodb6NfRGzqzE+beA2Ckrv/ujYHgwSX7mJaRQLw+iB11bayvbGT1vVMDrfwhwRparS5WH2zB6vSiVkgZlhzKOcPjOfv1zcilEoYm+tVnQ7q1RKuUcuLC5cSFa6iz2SiqNlLf4iA7OpQOi4+dFWbK2028s7mKmTkRvH7xqF7ntvNQBwfqzSCRsL60lfkF8Wj6UPT9I1Bj7Fk29PhEBlohKkgM4YVz+i6NnghUchmzBsfyaXsDGbHRRBtOLsFYJpUQpJQTpJTz0nmFyCQSSpstbKpoI9Gg4ulfDvbY/kS4oKHBKt65bASVLbaAAzr4hR+bLG5EUUSnUfToKoSeqscNJkcP9fJRySFE6dRs++ss3F6BVcVN5D34I2FBKr68ZizReiVNZjfZ0cHIj3LSD3+/H5PTi8npZUVxc5+t/d3h7qcBoHsQo1HIGJUzCLsqBEldG0q5FIvDL9ev1/xnptXy8nJuvfVWHnroIUaMOHncvv8F/FcEMoehUgeRmD6YxPQT9yRSqtSk544gPbfrhzQbWzlUspuyA9s5dHA3a756h58/eBGAsEGjMcy4FrTHthDosLupabfx4YYKmq0eLPaenURuT5fi44ayFnbVmAATYTolK4qb2FLVzin5Meytk3Kg3sShbtLtZpePl1eWMS8/jlCtEoVMynmjUzjvKCt4gCOnvqPd0N0hiiIPLCmiotnGi+cXEtVP94fT40MQRdYebOGaj3b0en1LVQcyqZScWD33f7ObFftbmDIonKJqMznxep49s4DyVhtmuxudRoHXJ7DjUAfJEdqAGml3BKkVzM4bWGeOxyewqriZFzodawEMChCkcmblRZ80cSpRFPnL7EFHZft/uKmK11aVMzwplBfOLQxwASQSCeMyjn1tSSQSziyIYfGuxsBzF45OID3q+Hp/nW4vdrdAqFbBvmor5xVkYHS4+XBnOTKJQHSohpBuInBhWiW3z8zmlPw4WixOrnt/G5XNNnKjg/GKfsfrmg47aZH9n8eFY5JhDKTc8yPralpJDQ3mslFpRKiCuW50Nrsa2nC6fTi9Pn7Z10hRrQmDRoFGKSXaoMbh8ZIdqzvpJZWj4dULCznr9a2Bx0dqyPy7IZFIyEsKZnOJEbvLR5DqjwnoDgtWZsfoyY7Rc9nbmynuJq+QHTXwEt+RGJ0awejUrgVIpE6FIIooZVIUciken0iD0dFvx1+sQcPyu6bw675GRqaEkd+ZdVtzsIXnfi1hb50Znwg2t4s311Wy+q6pVLc7SA3v0kEpb7ZwyvNrcIpw9YQk7js1n0mZYVS02ZHhbwBZV9pbtfcwkkMVNFl8OL1HM3ABnaONNT+8T0nYMMK1KmRSKSanl6GJBpLD/33Gkc899xxms5mHH36YoKAgfD4fcXF+Uv0rr7xCbGwsixYt+redz38K/1WBzB8FfUgE+aOnkz/ar9IpCALNdRWU7dvK9x89T9Ub16MbOgevuQXR40SmC0ceEkPssOnYlf7ygwSI79S2aezMNry0qpJnFuVx99f7EACTt2viHJ4chlouQaOQsagwns0V7RQmGXhsQT53z8lhwb/WH3matJpdtFhdhB5jxdAdZxVE8eWu5sDj1aVteL1e5PKj/7S/HWgMCMBd/+F2Fl8/odc2Xp/Aq6vKqGq1sf1Q3+lWgA67C6vTy4ayNjwiVLXYiTJoKEgIYeyTy/GI/u8vNUxNg9mFo7NdOy9WxxML8xl6hA6FzyewvLiZQTH6owrFrTnYwtNL91La1hVQLrlpEsl9TLrNJgfjn1yBB5iUEcoHV47rtc2RsLm8/LK/kQP1FhweL+lRwcwdHMM9XxYRopXzj7OHBQKWjzYcot7opN3WSKvVRZT++EXUnjyrkEUj2qlps1KQFEp27LFLWK0WJ0q5FL1GSU27jVP/uQ6vIHL9uCxkopzMuCA2HLLw0OmDGJcRiUhvLySlXEp+goEr39nP4W/yvTWlZEVpCdHIjxrEdMeZBZEs3tVCbYeV8ybG89aqEsrrXYxNjOKDlXXUW2ws3V9Hc+cCIC1czdmjUhgcZ2BoYt+dT39ftp+lRQ08fFoeU/soG5woRqZG8eyZg7lzsV88sc3iIqaPVv1/JwYlBLOj3Myave3MHtab2PpHYHZOJCtLW5ECC4fFsegk+S2Bn3cVH6ohI0KDLkhFo8mJ6Rhll8QwbUAkE/x8pEe+309lq61HZ+HguBA2lLXw1yX7eGR+HjNy/Yuf/fVmnJ0bvrGumgidhq921HPR6ASunJRBo8nJkt29AxmVDOYMjuOBU3LZWtXG9Z/sPOp5elsP8fXHT5B4y6dkhOtpt7mQy2Du4Nh/K9HX5XLhcvnvp9jYWJYuXQr4F19r164lNTWVRYsW9bLxMRqNhISE/NvO84/G/4lA5khIpVJiEjOIScxg8Ng5PPvMvXTsW4EiPBGpKgh3Uzm2A2swrf0QTeY4kMnAWM/2YAWbRCmu/IUEZfqdtPfUmwnVKGhzeGg0ObE6PQSrFaiVcor/Ng+A8iYzHq+X3w408c7aCi6fmEZciJrylp7dSR4RHO7jq68+c+5IHl3kY8pTP9PUKW63oriJWYOPbioZo1cH2o7j+9Ex2V1r5LOtNbRbXXj6WaDIJX5dh0idiqW3TOBfK8p5dH4eCoWCDWWtvNApgS8CFUf0We5rsLDgXxsof2JuD17P6tIWXl1VTkKohpe6dTeJosjl726hzujki2vHUtZs7RHELCqMI0it5F8rDhISpOD8MV2dC08tLQ7waNaUdeBye3sRU4/E3BdXU93uRCoBrVJOYpiGxdtq2Fvvr6+PTq3m3NF+BdLZg6Np2uhkUKzumKnr/qCQSRmXEQHHEHw7DKvTw7UfbydYKee9y0ez5mArepWK03IS8XgknDIqgpToIGYXHp33cRh58QZ+O+gPWAcnhvDSRcfX7v3suaN49tyuxwtGJPHp9k2IMg+DokIJliu5fGQWZW1mVlU0UtHmZFtVO9dMSuu3zfm1VZWIwJ2Li9j+15MXyAAsHJbEm2srCdMqiDb8Meq9xwOVQsq0IeH8tL2F3ZUWCtJOXgt2d+ys7mBPrYmzRiRy7rg0zhnrv09O5gQsiiJRehWripuxewT0agmz8uL7HWv6wpaKNs5+Y1PgsQS/kvCt0zOZkRdD4aM/02H3cucXRex62B/InDo0jjs+34VbhPwYDU/9XIIgwMebaxmREk6D0dHrOAopPHhqLheMTWX5gUbeWV9FqFpKRzfNsgSDErtHpL2Tu5cxYjoXLzqX17YWBzhBpwyJ5bQhx2+SeSLYuXMnQ4cO5d577+3zdYlEwseffEpdq50d5Sa+++Jdvlv8MWvXrcVs7CA3N5cVK1b0qaz/v4j/k4FMd4QYQrnnry+xv7mDOrMdq8sDEgkqwU3brl8oXvMNKFQkpeQQHxZCQ3UZtV8/hn7MWYRMvJBzRybx6WY/Uc7mEVh9sIV5+bFc+9E27C4f7102ivPe3Ehzp3niY0uLmTckjjtnZVHespMGo7PHSuNE0usfbaoMBDEAzea+HZRarS521xrJi9WTnxDKF9eMprrd3stBGMDscHPPV0W0ml30JXOnkvn5H2mRwSws9JMetSodT55ZENgmL07fQ6NFJQVRIkGvlNLq6BQ3AwQBuvOTc2MNpEdpGZPWk+Tq9PhYV9aKIMDK4iYidCqCFQQk5+1uLy//doD3N9chAWbmxhGp93eeZEX3zOwoBvA9Gzsl3AURLC4vZc0WMiK7uhESQrsmv9tnDeKayRloFLI/1Ma+rtXC+Gf9VhzvXzqcWL0anVqO2+MjWhPEeUNTqTXZCA2RkBJ9fFyL22bnkhOnx+UTmV/w+9v9Y0O0rLl7Ona3l7u+3M2yvU3kRBkYlxTF5SMy2VHXRnFNE6n3LkWrgL2PzusxmQap5EQEKWixexga//tdw4+ETCrh59umnPT9HglRFPlqazVPLdtPjF7N65eMJj60798mOUpDQZqezQeNRIcoiT0BD6Zj4Yeiemo7HAxNMjA0IfSkZxDKms1c8OYWBBG8nZwYQZCyq7qd2c/X8uSCXM7ttsjoD1d/sLXH4yCllMzoYKZ0cs2uGp/KSyvLuHxCl52BRCLhzOExfLKtkT2NDlLD1VS2ORGAWz73y24k6GXUmjsF7YCPrhoTkGh4eUU5e+pMJISquXJiPPsbLYxICuXMEUl02D08sGQ3W6qMqOUyvF4PQTKI1qtYWJjA+aOTeqgW/5G44oorOOecc7j77rspKipi+/btXHbZZYA/k75mXwdVTXbcXhGFTEKLy0DexLN455dq1DIfU+edS4cYyaqdNbz32vPMOPVsYpMyWP3bj3z/5Xvc9+wnuL0Cz957CYMzE3jmxdfYVNxB7b6VXHHhGWjUJ8/h+2Tg/3wgAxCsUjAqMQpRFGl3uLF7vCikUsILbkZ66U34IKBCa3G5+fyDF9mx5F+kCfVIrxqMTgntLr8ZW4xBjcsrsKWiA58osKesisbinXjVBpQRfhJcm9XF0MQwPrlyND/taaTN5qS63c6kjAgGDaCccCRWFTf3ePz40oNcOK6nwZ/D7eOc1zdS0WIjLkTN0psnMjI1gpH9jCevriqnqs3WZxCjkUv44IrRFCSFIpdK+h0IDUFKtj8wg03lrYxMDcfsdOP0CMSFaJj13CpabV5um56O/IigIsag5tk+iL3/XH4QCZATp2Pe4FicXpGWGYOoaLEiCiJf7qjrOkeFFEM30t2107JptnjYXNnKQ6cPHlAL9aPz83h6WQn1Jn8mSSGTkRsfwu0zs4kLVZMbF9Jj+8MdLCa7hzqjg+wY3e9S0bQ6vXgEgdBucu2HgxiAS97bzvwhMRg0Kj5cXYfXC4VpehbFRvXJPxoI5uR3lRZ8PgGR/sUcjwWnx8udi3cTrPBLCvhEkb1NRvY3mxgRH8745Chyo0NYU9nE7oZ21pc3MyEjOvB+hUzK2numUWd0khrx7+MdnGyUNlu482t/CavVbueUF1ey/cF5/V4bozINNHW4+HVXG2eNj0FzEvkyZoebqGA1CSFqcmJ6jzVOt497v9lNWbON22ZkMS0nuo+9HB3P/VJMU6eh6qSsEGblxnBWYTLZD/0MwD1L9vPj7jo+vKZ3Obs74kLUGBv9WWspEKxWUNJoweryEhKk5PrpWVzfaQtzuHQiiPDJti6e2aG23lpQw1MimaRW8NX2WgSgo1M1/Y3VZZQ0mtEopEzNjupltyIAa0vbEYF9dU38/LdziBl3BjvTJlOQoP/DFX2749FHHyU52R/ArVixgocffphTTz0Vq9VKSYOHarOaYekGkqM0ROgVXDT1EjpsHjqs/n9xtz1Co8WLydjO0u8Wk5gzGl1kKip1EBERkUSHKFEpZJx/4cUolGqWbGqmoXwnj950AS0uHafPnsSgBG1AWuQ/jf+Os/gvgUQiITxIRTg9o83Dw4goiuxpNCIMPY1EbTz7lzxNTlY6cn0kipgM4lOz+fjF5VRVVdG+t4TmumoKH+lS6VUnDyHz1GsZFDsXgJSIYK6bmvG7zrm82cr6io4ez+XF9eY0mJ0e6jrsiECz2UmL1YWhHz8TURT5dlc9fTnSywCNUk6kTtXD6bo/hAWrmNfpYhvZjTey9QQEv95eV4lb8IsGqpRyVEq4emIaZc1W2i2OQCAzKzeSN/roknlw/vGRyKdmR1PSaGH1wRYcLi9xYUGMz4hgem70UVex3+2uo7jRwjkjExnS2dp+JL7eeojbv9qLSgb7HpmD/IiWmVark7FPLsfng6+uH0NhUt8t2MX1dtJ0YYgyOH10NLGhJ2elVNtuZcLTqwH46PLhTMg6/rLOzhojv+5tRCqBly8YQZPZyYriJtwegZLWDuLCFXicUuZkxVMYG4ZB3vvc1Uo56VH/25oc9R09yxlGp1+Btj8zQ6lUwoyCCBavb+C33a2cMjLqhJ2OBUHg7i930mTx8NpFI3j25xK+2VlHZlQwl03o3UH424FGftjdiFcUeWLpgeMKZERR5Jd9TbRau8rjUzJiuHCM/zjTsiJY0emPtrbSdMz9/XDzJP76zR7kcinXTMrgu6J6EkN7akiBX/n93fUVSCRw1cSecguHi0MaOTi8/oDo+mmZrCppwd0psrm2vI3Z+XF8uPEQdo9AUoiaB0/L63U+giAGssttHsicuJDRY6ZQIhj4dH0Z956Sd1QV4oFi994SiquaiUjMwW638cJjd7DgvKvIyR9OU20ZtWVFXHLR+USFavnoo48YP348HR0dLFmyhPPOO4/b/v4FC+ZMYkRmV6CqVEgC1gY9Ecd186sDj+aPOYv7bzgr8Hh09sXYnD4/AX3qqZw6fi92RSw7y81ccdFZDB8xkqf+9hCRht/XXfl78WcgcxwQRBGLy4PN7UMRn0/ejW+SaDvE1p2b6agppm7Dt3y2P5TQyASSMwoZNuF0ouPTiE5IZelXb7Ht1885RVdzUiP3mo6eZaShMVq+uLa3eVlksIpzRyby3e4GpmZHknIEs14URd5aU+F3yh6XwoiUUH7Y3dDL88kHBKtkvZy4+8Kp/1xDu8XF8rumYnf7eHd9JZMyoxiVdnQX3Jp2G6tKmhmdGoZUKiNcq0DeaU63raqDiRkRbChvpTAxlG2H2nnm5xKUMil3zsjA5HBz36k9AxafIPLL3gZ0GjnjMyIDQYgoirRYXBTVmmgwOQjTKsmNMwRW/4YgBZeOT6Gi1YbZ4eGSsSlMGxR1zFR8doweh8fXy3W7O/7yjX+F7vLBqysPctPMnto6bVZXIJCsbHVQmORPGY9L0bGhyuJ35k2NITcqhOIWE9OGhJ20IAZgxyFj4O8lu+pPKJDJjwshP8FAsErBxMwIChJDuGR8Ch02N4mhQaRGapECH284RGaQlvUHzGws6+DTnZXcPD2DhcP61k76X8ORrvAF8UFolTKazE7cXoGEUE1vxVq1jBkFEfywpZniGiu5SSfmXLm6pJkvd/ozFI/9sJ8YgxqVXBpwoz8S0QYNKoUUwe0j+gjC+kebqihpsHDtlPQ+S2OlzVZ+2ttAqFbB2LQwpFIJWbFdPJ+nzxrKiMeXA6AaQFwmlUp5/IwugY0YvYoPNhxCFAV2VBuZPzSecJ2KJ5fup7aznb62bQ85URoONPcMHh1eGBQdzEOn55Idoyc8WIXT66O2w84D8/z33s3TM3l9dQU3TEvv8x4P1Sr5/OrRnPvGZkSgJSKPQ4fKmDBsLGk2G1PnnMnsuadw4QXnYzW1U1K8n1GjxxCkUdPS3IDP5yUlORmpBIr27kcbbEAXGklFRRXfL1nMvDMvpd0h5/E7r8frcfHEvxbjdvpobmrAYrVjc/lYvmIVn772OLrMWSjlHTz91POMHjeZc0mmSZ7Do++sJy42hmHpJ49fpVXL0Kr9AdrIQn+ANypTz/6pkxGDYvlqQyOitR5XazHXXXEBKuWxu0Wbm5v59NNPmTdvHpmZmcfc/lj4M5A5DsikUqKC1bRYFFg8AvEhIYxOGsLcuWd2Srv3fXfu376a3auXcNppp/PIIw+f8PE3lbdS0mTlzOEJgTJGVnQwWhnYOie9Q2ZnnxwNqVTCQ6cP5t5TclF22jd0R2WrjWd/LkYigVl5MTyxcAgHm6yUN1t6EH2lwNTsKIIHkFL0+gR8+GXvtx1qZ0e1Ebvbd8xA5tlfDrL+YAsWl4dOMd8ersSLd9bz/a56bpmVhVfwt3TKZVLiwrTcOCy71/5u/2wn3xY1IAH+emoOl09Io8Hk4Jd9Tfy2v5GKVhuCIBKskpMRHcxVk9IDjr56tRKVXIZWJZIT25U+3lXdzltrKzl/VBLjMnu2V49KDWNUav+fscXionuE+MrKCk4rTCKlW/kkO8bA46fn0OHwMn+ov51SJpWQGROGWhbMsLgwHB4fPxTXsLfJyKjsow9coiji8PhQywfG4TllSCwPLinC6BIZmRxyzO37QrBazuLrJuD2+CiqNTEiJaxPtdxLJ6UhiiJbS03sKDeTbDDw1yX7/r8JZOJCgvjttkl8sLGShJAgLhibwrbKNs56w29SePOUJG6f09sbLD5czSkjo4gNO/4AtdXq5JPNNUR30yEalmhg0YgkZufFkNyPNtXIlDBevWAYpc02FhZ2NQzsqTPyxI8HcHkFGs1O3rxkZK/3mhwenF4Br8+vjaOUS2i2OHl/QyVTB0WRFKZl2/3TKao1MSHj+EUe/7m8lKo2O6XNZhxugY3l7Ty1aAhmZ5e+S4PFQ4OlD48BoLjJyl++LOLVC4czOCGEWzrLUodx1sgkzhp59GsuSq8JZGWadi2nfPfPFF3zKllhMei0Gtps8MvOVvZsWc6/Hr6cJz/cQkh4NB++cDf1hw5y9/NLALj9rInMOfsGZp11LaV79vHGK/8gpWAmBYOz+NcrL5OXEUdYqD+jcs72rg7X+aPv4R8P3YjdK6fF5ObJlz5BUOiRSmB4dgzheiVxYaoBcQB/DzQqOc89cT+CKHKo2cETf/+Az999EV3qJAoywkmLlBNq0PaaFz0eDwqFArlczuOPP05OTg6ZmZn89ttvHDhwgBtuuOG4lNMPQyIeLi4eBWazGYPBwHOL96IJ+oM87f9H4PEJVButuH0CEVo1kdqjZyZEUeTei0Yhl/h49NFHaWpqorq6mvr6BrxeL4Ig4BMEFHI5BQVDGT16NNOnTyc83H+jf7LpEHaPjwtHJ3Pumxtpsbi4fmoGF4zuIrjVdti5+8tdrK/oQCmDg48f3UivLzjcXk5/eT0KqYRvbhiPSiFjX72JB5bspaLFiscnIkUkOVzLZ1eNQdfPiu7Izw4EPK+W7W1keHIoCUcR+AP418pS3t9QRZPFfdTtdEp4fFEBP+9rRAS8Hh+J4Vr+MmcQqm7utlOfWUllmz9zNTMniscX5vPm2gqKG8yUtVixOtxYOlWwYvUqpgyK4tH5gwOls9oOOw6Xj4xov1qtxyeQff9PgVjkwKNzjink5vMJtFpdRBs0FDeamfPC2h6vL752bL+2FeDXc9l7yMLWUiMur8CGQ81srW3FK4gUJBp4+5KRhPUjqe/y+Hj8x/1sq+4gK0rHI/MH90rP94WUe34E/MFrxVMDv6ZaLC4Wbz2ETxQ5e2QyV36whepWO7fMyOyznHEYgiByw/s7GRoTQZ3FyqNn5fxXmeD9WFTH4u21qOUyrpqUxrDkowfkR8OTP+7j9bVVABiUsPvR479nj4ZTX1zF3gYbcim8f9koksK1JB7jvjsaKlqsLHxlPXa3l/kF8Tx7dkGvbeqMDl5eUUqLxYWks9MvO0ZHcYOZrBg9N/zOMvrzvxxk8Y4apmRFsb68hdOHxnPdlHSu/nAb60rb+jR+7QtqYNdjc3o5YA8E23fs5J5XPqMiagIGqZvsuFBGZsRy84xs5DIpoijidAtYrDZqa2tJSEpBIpVTWlqK1WolJ28IgggH9uwgNTWZpPhYVIr+DXT/l1Ba1UC9Vcnug008cPkkZpx6Jsu+/pCnn/47N954I9u2bWPevHmUlZWh1+sRBAFRFJHJZDz33HN88cUXbNrk71JbunQpkyZNQhAEDAYDJpMJvb7/xdqfGZnjhEImJT184Gk7iUTCmVc9yAfP38GNN95ISHg0YZFx6EKjkCv87roSmRSL08GHn3zJc889R1hYOB988D5z5s5jQ0UrXgHOG5VIbpyeg40WcmN7Hj8hNIiPrhrLhxurmJw9sNbdI6FRyvn19sk9nsuLM/DlNWPZXWukw+YmO0Z/XINh90lIpZAxv/DoLeGHcc3kDMKDVdz91Z6jbmdzQ4ROxcvnD+Oa97fyS3EL0EJyRBAXj+1iMd89J5s7F+9GJZdx1+ws1pa2UN5ipcPuxmT3YPd0DYFGu5v99WYsDk8gMEjop8PkMMR+htA2m4vyZiu5sQbe2VDJ2pIWJmZF+A0ZtTKaOtNoBpWE2H40TERRpLTezpaDRmwuH7mJwYQaZKQlqbhATCA+VENurOGokvIbK9pYXtyMTCJhU0UbP+9t4OxjrDzB33Jaa3JTmDjw690niFz9wRZ21pgB+H53PWPSIzDZvYxOOfoqXCqV8OJFBWwu7YAq2FhsZFzOiVsRnEx8vb2G278sCjyODdH8rkDmorHJgUDmxX4MVH8POjo77rwCIJGcUBDjE0QqW20oZBJSI7S8d/lIDjZZOG1I3/dxfIiGC8cks7K4GbdXYExaOEMSDCzd28jEAUoKHA23zcritllZvZ5/+LQ8zn9z0zEXPuC/n6yWFuqMDtIjg/nwww8ZPHjwgNuQN6xfR9PWn1i14j4i9MG9FjASiQSNSoZGpScqPDfwfOSInpyb5Okn14bivwGZKbFkAnlxcsqvuZnvlixm5MS5qKPzcbh9iKLILbfcEljgds+83H777dx8880ANDY2cuqpp/Lhhx9y2mmnDejYf2Zk/k1wOe3IZHLkiqNnMjpaG/j05fvZs2U5zz//PKecdwUen8D+2nY6nB4uG5/xb2XHH4bF4cYriIRqu1b9HXY3r6woY3ZeNCNTjy9VLIoiLq+ASt67zAX+stSwh3/C3HeWGICRSTpum5VLYVIof/2miMU76wF4/pyhTMyMRBQJOPoevswdHh9PLi2mtsNGRYuN6k6LiMMIUcuINmh497JRAen0vrDjUBtvrKngojHJjM/sqdPSYHJQ0mjmxo+3YXVDrE7K/IJEftjb3ElWVGJze3G5vaRFaFk4IpHhSaGB31UQRVqMbqpbHFQ0OeiwekiJ1jAmK4SQI1ykRVFkX72ZFouLKL2K3Fh9r+9zS2Ubf1lchN3tQymTcs/cQZzaWa46GkRRxO0Tjsvd2eH2MfjBZT263fY8fPzGlzvLzWwpNXLepDj0Qf/59dZjP+zj7W5WJp9eNZqx6b9vcvb6BHyi+Lvds/vClqo2Xv6tlPwEA3fMyj6hdP1nmyq4Z8kBJMD7l4/qZZT7n4bV7ubKD7dx+tBYvthey67O4Plo6Fj9HrZ9q2moqSTSoCUpKYkbb7yRv/zlL0d9X3eRUZPJhMFw8uUA/n+D2+1hf42VHRVWVv3wIdPG5HDpeQsH9N5Dhw4RGRmJ1+v9MyPz3wSVemArotCIWMbMOIM9W5bj8/nIjNZR3mLhzq/3A2BQyjl7zPG70wKsOuAn/U05ToVUm9PN2CdX4BF8nFGYQJhOxQWjk9lVbaSy1cLSveJxBTIOt5ezX1/PnjorUVo5398yiWh9z6BBLpPyy51TmPjkKvqKZeSAPkjNP1ccZFRKGHfNGURatI4IrZL8OAMLXvYr3L59yQjy4kMCk7vTI+Dy+hBFCT6xZy5FKQWFQkaUTo3Hd3SJ8mHJ4bx2Ue/PLIoiN3y0nco2G9bOBWKDReCdDYeQSyQYVFIGxxuQSSWUNVv5cU8Dn22vQyOXMSw+hIwIA6mhOpweAZVCSkKEmkl5of3qiawuaeH+b3ZTZ3KTGKLiiTOGBnyvDmNEchiXjU9hY3kbeXEGZuUNrBPFZHcy7LEViMCGeyYTG3Ls7iG1QsrlE5J5c53frf7iMYn9duccDYOTg9lVYeLrLXXMHxFN6ADI5X8kbp2eyTfbqjE5BV48d+jvDmKg06T0JJxbXxiVEs4HV5642SjAm+v9v6EIfLer9r8ukHlpZSk7qzsoa7LyzmUjmf/Khj5zo+6mCi4fE0uxJ5KWKadxwa2XEKH3j8eVlZV4vV6sVisff/wxF198MRqNhtLSUpxOJ/n5+VRXV1NQUMBbb73FokWL/gxiBgilUkFBeihZCXr+fse3+GxNAw5kDreWm83HDk7hz0Dmvw57Ni/n/X/cwbnnnsftt98O+DVRDiNKf2L6ICWNJi59fzsAv942kczogZcLftnXiNXtX2N/stVva9BitvP4wgIEUWR0ahhWp4e31pRR3mpnRk4Mc/NjUcr9NeNmiwtBFInWqdlXb+L+b/awp87flt5s83LnF7v58MreKrJfbq9DIpMg6WyT1MjA7vP7SWmVcmpaHRidHtptbsZlRHL28HhOe2kddrcPq9OHTCahrMVGXnwIRpsLt09Ar1H6idISFyqZjCCFFLtHQC71696kRmiJD9X0ci4fKIobLeyo6d1a6vaBG5GyFgdmexMLhsaToA0mLDuICK0avcp/vGarg9QYDVnxwUQblEetnYuiyI97Gqgz+SOmGqOLn/Y09ApkpFIJl4xL5ZJxRxch83i87G8wMjTJP0k/9sP+AA/o7sVFA7J1kEgk/GVuLvMLExFFyI7RnRDPRSGXsqaymYLYMAr/tpyKJ+b9R3kEOo2SHQ/P/d37WXewiX+tLudv8/NIi/rjJkSX14dUIhmQREJ/OHtYAk/+7DeUnHYUw9M/EoIg8MyyYvITDMw7oqR11cR01pS1Mn9IHOsONvcQ3+yOmOLF7GwO5scff+z1mkwmQyaTsXjxYq699lrOP/98AO69914sFgs///wziYmJPPLIIxQUFJz8D/h/ADKphNv+/iVT80+8FHss/BnI/JfAYmrntadupmL3WmbPmcOzL72K0e4hJEhBXIiWrfdPxycIxJygM+7emi6vpOBjSPN3h8fr465OropKAq7OkaLN6kUuk3LKkDhEUeT0f65mT4NfvOr7okZu/3wXiWFqbp46iA2lzXhFkdHpEZQ0WDBa3URq1YiiiCCC2+Wjw+rBJwgo5TLsLh82p484rZYp6bHE6tQMSwqlps2B10svkp7b56Oi1smOMhNh6iA8Xgc5MWoKksOZkhXFprJ6zn3L751y/YRERqVEUtNu96v+SsDjFZDJJEQEq9Cq5AxJMByX3xX4y0HtFjdLttYzNyserVKOSiZDKZeilEkDf8s7U/yiKCJT+XC47ext7KDV7qTaaGNWXhSTBw98Ja0+okb/2/5GksOCuHJSei/BNVEU+dt3RbyzsZbUUCX3nJLH4PgQ4jo5QJl/9QuWBStg72OncOn4VL7qbN29ZvLAiZrFDRZ+3d9IlF5NWqT2qPydoyE6WEOzzd+r5hNFpPzvEyIve38bHh+c88Zmtj4wa8Dvq+uwo5BJj+rhZXF62F1rZE1JKx12N2qFlJEp4cwZHNPnb+D0+GgwOdGr5YQGKTE7PRg0ikDgednEdEZnRCKXSsiJPXntvMeDF349yKtrKpFLYWZubI9unAi9mp9umczumg4W9JONGRKr55WvviDMcPRs4gUXXMCpp56KTuenTvzjH/9AofAvLiQSCTfddNNJ+0z/17B+2z583iCiT6I8xJH4M5D5L0HR3p1U7F5L9unXcfZdd3DxezuQSSRcPTmNM4YnEqnrPYC9vaacvy0tRiWBa6aksr3axKBoHbfOyia4W0bB7PRwx1f+0pQUCA1WIQh+boVUArlxvXkVhyGXSYkMVtNodgaCmNRQJTdM7er9b7e5KWl2kGgIIiZYQ7ROQ0ywhvAgFc2tPjJC/ROzqQNi1DrOL+jNs/p8bUOv52RSCZPTopDLJaw52ILd46Xd4cbq8mJ1e5g2KBK1XE5CiJZQjQKPR+S0HL+0vlQColTg1ZWlON1dfkw/7m3k2hk5lDZbKar1S42LiEglfoXiQTE6Zub2X3rrsLkpb7ESrVcjeCU0GV00GV00G914fCIGuYYYnQSz04PJ5cZlE3D7fLh9Ai6vgNPrpc3uIlgtpbLNTlp4EHLBTXG7l1PyInh84ZAex1t7oI6L39/FqGQDn1/XUwlVIpGwqDCe4nojWw/5s0DNVg9PLitBr1FwXrfONoADDWbe3ujPqFV0uLnu451E6dRsvG96j+0O233lJ4RR8cQ8xM7fYiDwCSJLdtVR22GnpMlCSriWCZnHX4axOLykhAbzy8Ea7pud/rsyC/9NSAjRUNnmoDBh4NmYBpOd+a+sRyaRsPquKaj7WIi0WV2c9+paDnZ6j8mAEI2EZpOTunYrH22p4ZKxyVzdGZDaXF7eXlvJtkPtROnUNJkdbDvUwaLCeB5f5L8GlXIpBYkhx/0ZPT6B8hYrIWoFETrV7+L0DUsOQSEFvVpOf7txeoReQYxCCh9eMQpr5W7OPWsRv/322zGP1b1kdLi08Sd+H+wON+edeRrDx07l+lPf+cOO82cg81+C/MJxKHXhyO2tvLKyjDabfzb5x68HGZka3sMavsPm5sMNFTy33G/I6BThxZWVAKwrb+ezbdVcOj6NOYNjyY3VU9VqCbz38A3//a46bvtiNxIJvHrhcGbl9Z68H/m2iA831aBVSfnoshFc/O42ACo73Cx8dQOPz89jWEIE28tN3DY+N9Ca3Gxzcshoo8FmRaeR88uBZqQSv47FTdOziTGosbo8HGywkBgehEou45oPt+HziUzIjOC2WVlo1XKUcn9wUdJg5q8/7UIqge9unMCqkhbqTA5kUgjTy7lgQpesvt3lo83sZvm+ZlpNPtRSDe1ON1o52L3Q7hC46K1NfHTlGDaUtbKlqh2r04taKWNkchhj08P71DoBP7fnzFc2MSIhnNRQfzCmUUqJDlExLF3PbyWNvLGuAo/QN79mbGoIjVYHEToVHp+AIEJ5q53ix2ZjdwvoNYpeAcP1nxUhApsPmfD4hF4TemFSKI+cns9Zr2/E5u6i2C7b28A5IxORSqV4vV7yHvo5oMlzGEqZhNTIrgzfxjsn8M7GKu49xa9p8vwvxby3sYqxqeG8dnFv3ZC+IJVAsEqO1ycSpJShUUppNDuwu3ykRmgHXGaSd34PT5wxlEEJ/9vKvt2x4s6pODw+go4jK6qUyVDIJChlUqRSKUark2d+KebOWYMC3KFXV5UGghjwC1e2OUR+PtDM+vI27G4fL68sCwQyxY0W1pS20GZzUdVuw2R14vGJHGyy9nUKx4UbP9rKzwf8Cr4XjEzklplZvTJJgiBwwesbqGhz8Pm1Y0mJ6Ps3njIohuLH5iI9ihVKYVIIc3Mj+fVAC0o5JIUG8+W1Y9AFqdjYrCU5ORm1Wk1FRQUAaWknxjH8E8ePLWUWrr7vFc6elv2HSin8Gcj8l0AfpGHqnHNY8e3baBqaUaaPRhU3CLsqBmc3RbqqZhMTHvkWwWHCZzPhsxsR7ObO/0347CYa7EbufcnE/YjMPnUB24NGoAj1u7IOjtGiVsgobbb4+Q+i32U2Wq8mK1oXaCfcWtnGuxv9Zpgmp8AVH2yj7Ml5PLusmDfXVVEQG0ZTi8BqYzvx4So+31lFo9VBq80VCJaunJDMyJQIzE4nHkFkVn4MeQk6pFIJkShJjeoKzi6ZkMyWyjZum51JWHDPsk52rJ7PrxmLTiUjI1pPepSOQ202rv9oO15B5IIxyYGJIUglIyhSA3KBt7aWMi09hiExYTx5WiytLiuP/1RMeYsNnVrB7MGxTB0U7ReKU0j77R7xeAVK6mzsqjRzVn4KDWY7PxbX8uy5+WTFBAdu0NJ2c79BDMDGSiMGlZSXLxhOVZuNuxYXIZdK6bB7+vVGemBOJnd/W0KsXhGY3LvD4faSHhVMQqiGkm6TUFWbnW93NbBwWDy1RmcgiFFIwSNAol7O1zdNCXR1AcRGGLj/tC4l1ddWV+Dyify8v5maDjuJx2hDB3+W6PzRSew41IEhSEGMXs31H+3A5vLy0Ol5jBsgSVajkhEdouRQs+P/q0BGIpEcVxADEB6sYvVd0wB/lmTc82totXn4aW8zOx6cRW2Hnbc6ydV9wer2ERms4OqJXRo+KrkUlUKKw+mmsdNSICJIzmsXDqwV/Jtt1Tz1Swm3Tc/k3NEpgeeNNherO20IAIrqTeys6WBWbgwriht5amkx541O5ECDhY2dWcQF/1zNzkfm9TvRHcuIUSmX8cqFIzHa3Zz60hoaLU42V7UzIzeWsWPHMnbsWARBYPbs2UyaNIm33357QJ/xT/w+bNx5kP31Ss47bTK5SX/sPfxnIPNfhDnn3ggyORvWLKX1u6cBaFSomP9lOj6vh9aWVozGjl7vkyhUiB5Xr+el6mC+/+h14HXUKYXoCudyUOon1V48PpXVB1totbpYsquOxTtqOXN4AnfPGURRnYn3N1T12JfTB0arm+ggLdePHoRCJsUpuDlnYiKhwQqqzSae+a00sH2YRsaN07IwaBQUJIXgE0Ri9Op+CZsXjU3horEp/X43hUldeiIyqYS0yGDOG5NEh82NWi5la1U79R0OUiK0DEkwcO7oRMqbTTRZ3EzIC2FziRG7S8bw+Aiy47rKbkq5tF8Oh8XhZe8hCwdqrHi8IinRGrbVHWLJnibyY4MCAnmHsbAwjqpWK1/tqCNGr+T+eTmc8+aWHmlvk0vg3Dc2cdWEFBYUxBMerOw3iBFFEYlcRVKI3+F6fVlbjzLNW2vKeW1NBTkxOp45M5+Hv9tPk9lJZnQwQUo5mdH+weOnoi4zzdfPH8bUvJhek4Yoitz8yXZ+3tfEgqFx/P3sAhJDNZS12glSSNAfR+dRtF7N3Hx/4FzW7Df5c3p8dNiOrfPRHSlRQWwvM2G0eQjRnhj5+v8XdL9Gx6WF8/2eRsZ2KmT/tq/pmO+/eEwKRXVGvttZw+mFieTE6jlrWAIvrbBBZyBj93gJ76OEfRgWh4d99WYKEkN4YlkxLVYPf/+5JBDIHGq1cupL60DSRbvdV2fm6Z8OsKmslXc3+j19Hv2hhOGJXWUcu9tv9ij7HQt2qVRCRYsVp9uHRi7tpVkklUr56aefiI4+fhPMP3H86DBZOXX2FGaceg7XzXvuDz/en4HMfxHUGi0LLr6D2efdQnFlBa21ZQjGeoxN1cgVSgYbwtlr9GKSaZFp9Mi0IUg1BqxFP9Ox/E0AJCotMm0ogt2E4OwqKTmrduKs2kmbQsnDynsxFMymusOBydFl8PbWuioajXZ+2Nvlph2qUZIepqMwPpRP1zbiE0QabDZMHieTsiMJDVbg8wnUGB08OCcHhygQGaxgbn5cQDvkSM8Wu9tLvdFBakRwoJRid3l5ZcVB9tWbmDU4jvNGJR0zFXlJp+jdrhojH286hM3lwxCk4JpJaWRG63hsUUFg25s+3UJaWBhT02JosjrZXWkmMUJNaHAXuVEQRDpsHlpNbqpbnFQ02ZFLJThFD/UOGzKbl7+dWcDz58v6PDeFXMZf5ubwl7k51HXYueCtzcg7MyDd4fGJlDbbmDU4htijkDedHoHf9jdSbXQiAXZUd/QIZNaVt/kF/BospEXq+Or68YgiPYJFk8PD338pCzzWqOV9nnuT2cX3e/wT4hc767n7lFw+v3Yc855bTpNdZMzjv/LrHVOPqcp8JNIjg3nw1FxMDk+f5cujIS8pmOJaK7/ubGXB2Oj/b3gyvxf/vGA4/+z8WxRF9ta3H3V7gH90LjK+L2okRKtiUlYUC4YlIEHk9i+K8AHP96HW2x2nv7yOqjY7I5INjEkN5cc9zVwwIiFwHl/tqMFyRP1SAMpbHZjs9YHnlBK4YVoGf1+6jwazk7vm5P4ul3gAt1fgvDc24de29LG9xsiU7Ch27tzJc889xzvvvENGxu9TFv4TA8fO0laCDeGMyk/9t6hz/xnI/BdCo5BTmJUFWb1VLPM6LHxUVBV4bN7+PR3L32TSGZdRnTgbUdWVwhNcdvReIxNDTHzz9Zc07d+C4HHzyCOPAI8QFKxn5l8XY0GF0enG7HSzvtxITqSBeH0QaWE6woJUeAWBMJ2c/U0mfi5p4MLRicxPiwkoDL+7sYqvd9QSrJaz48Fju1r/sLuBndUdLBqewMhOWf631lXwymo/z2dVaTtxIRqmZPds+RRFEZPDg07dk0vSZnVhd/vIjtFxsMlCi9VFZnQXoXjVgWYEicjy8gYOtJiYnxPHloNGNhb7S1ExoUqsDh9NRlfgpgsLVjA+J5SDrSb+ueIQzWYnqRFa0qOCmZp97FbUyhY7RrsHrVrOZeNS+HjjIRweH8OSDeTEhjAk0cCtn+5GKpVQ9OAslH1YHKjkUvLjdawvb0Utl/Xyx7lmUho+QWBUSniA3N19zKhvtzHtudU93tNfWUOrkiGV+FfGCql/ux+K6miydwoJ+uDvy4p5aQAqtE//tJePNtdw56xsLh6XxoQj2sGP5kvWHUqFlFnDIvhmQxPr9nUwdcjAurlq2u2sKG7C7PSSG6tnUlbkgIMgu8tDkOp/J/vTYHKyeEdjv69LgcHxeorquvQ4imqNTMqKwuH28enWGhJDVfzjnKEMTzm6TozJ6fGbJVpdVLU5UMslNFhdmB1umi0uftrblRk6LGtwGBIJgfbo/MQQRqSG8/Md0wd8LRwLEgnIZeDpXJepOn9vm81GWVkZHR0dREX9Z1rI/6/BJ4jUmhVkZQ8iMz3l33LMPwOZ/zEkhOq4fHgGe+rbKd+7gUPL3yRv5rm8/MJzXPX+Fhq7GaYp1EFMG5LO388Yyh03Xs19n6wjonUXjcU7+Obrr4iISWJGbgZyWe9J1OhwU9lhYUVFA4c6bIiiwLDkUL6+bhyJ4f4JVRRFatrsjEsNI0qvZsIAZchjQ9SUtygI69biXN3W08W7pt1+5Nt4Ztl+3lhbxbTsSF69aGQgmMmM0hFjUFPabCExLIiMyK5gzuJwc/n7WwN6KB1WO6UmE6+dnklDh4vaVifNRjchWjmfbq+iwergwtEJnD3RL+F/oMWI0+uX17Z7fHh9A3N0GZ8Zzj1zs9EoZcwvSOC6KZl4BSEQSFS2WFApZQQrZfTx9QP+zMrF49PJTwxDKZcyPLmnXP/Y9IijCrP9WtyM0+s/37GpocwdEseQfrpQdGoFa++awqqDLUzPje7TO2og043bK/Cv1X6+xoPfHeDDjdX8fNukgLJszgM/4vDCrdNTuXVm7tF2BUC4TsnEwaGsLGonJlRFTuLRa+0dNjfvbaikqMaEIIrsrDYiCCIzB5ANem11GS/+WopGKeXzq8eRGfPfr2IuCCJS/JkPhdQv3Ld0XyP/j72zDIzi6rv4b9Yl7u5CggR3LVCctlSouyt1p+7+1L3UqLcUKBR3dwmEuHs22c26zPthwyYhQgK0T5++OV8gI3dnd2fnnvuXcyrqzVidIr5qOZcOjaFyRSaVRhdSYErvML7aWsBZqSHkVzdS2Wjngg92kNtCq8fhdFFnsqGSSz2aSgtvGM7ivWXEBql5+c9jmBwiP+8p5+c95Tw5IwVEUElBpZChktKKyEzrG0GdyU6V3sK1o+I9Y56p1bpcKmHR7WN4b10OfcO1HF6/iOGJ1zJ69Gi2bNnyj/Ls+rfjowU/snrLAb779hsCfbonY3Gq6CEy/4MI8VIzJFjBnz8+z5ix41j2+xdoVUqen9OXG77ag+iCmEA1g+MCuOOsZNQKKauPVqFHS3D6FH557hEu/nAr2/LreHVTJt4KGX5qBb4qBY02B5UGM2aHs83r7ijQMeaVtay9ayTx4f58uiGbZ5c1haxvG0nf6K754qSGemOxOdC2mCylLSpJFNCmKNRstfHpxgIcLlibVU2j1eExPowJ1HD7hCTKGyxE+as9XUdFtSZu/HJHS6NpBKlbP0MmlRAdpCY6qLk+5fV1mTTabCzZV8Qbq49x1cgYLh+eyPQ+4ZTqzCQEa7vcjioIAhcPbW7hVMgkKGiOCsQHe3PwSXf06miFnjVHKlHKJJzdO7yVL46vWt4mMtUV/LK7mE835NI7zIvBsf48dUJbd3uIDNBy2fDmAuxpfSN4f00WeXXurq8Hp/UC3JPnoz/vpbTewodXDUXdRM5sDidz3tvcasyCOhMmmxMvlfu9H89k/rK7tEtEBiA10osKnY1NmXUE+yoI6uThWFhnIruqEYPFjtHmRAQOlDZ0icjUNVqxOl3YLS5+3FPMI9O7dn2nA5vDhcvlarelOqdSz5O/Z3L9uDjGp7S9fr3Fzrtrs9HI3d1iN4xL5tazkrltYgoNJjt7i3RolDIGxvhx0ZBoqg02ArQKlh4sZ1dBHWa7Ey+VnMpGd6Tl+C+w3mTjs835bMmpwV+j4MqRcYxJDiY1zIfUaT68uyab6sbW9U5vr82l1uR+ZtwzIYnEIBXXfbkPgEdn9OLCQdFoFDJsTleHSs+fbcph4Y4SFl4/1KO82x2khPnw5sUDWbVqFdNvuYXBgwbRv3//HhLzN2PZn6sxm/QE+igoLi4mNzeX8ePH/6Wv2UNk/kdhMRtxOZ3kHMtixbI/mDZtGmelhXP4qakU15mQSARiAjRszalk1n82cvv4eG4cl8BZTZPiqxf24+FfD7IttxaDzYHB5qC4oW0UpD08vCiTr28YwQ+7m/PeudXGLhEZh9PF9Qt2cbC0gfRwb369bTQfb8jm+z3usaL9lHx1/fA27ZjXfbkLiURA4hKZNykJH1XrWzfER9WqxVMURe77aS9HK42ebRcOCOOeKekEebffXr3krrG8sTyTt9a5U1wfbSzi8uHx3DUphTqjjRBvt2AewO6CWt5encvDM1JJDTt1hdaaRivPLznMhhx3nUNOZSNPnNPnlJx5W+Ll5VnUNFoZ4KfpEolpD15KGSvvm0SD2Y6XUuYpOD1cVs/C3W7dn1f+PMr8WX0AqNSbOVbhrsua2CsItUxCkLcaq8PF8W9z3sR4ftlTypLbxnTrWkb28qOq3sraA7VcMKptsfJxKGUS1HIpUokEtVx0uzB3sVD5oWlppIf7sKdIx52n6dTcFZTUGRjz8gYAlt01ml7hre+ju77bx+FyA5nlDeyZ35bIfLYxj4VNStsAyw+Wc/HQWIK9lfhq5Iw/QY031Nf9+zirVzAWu5PxqcFcOiSa+b8dYlhCADqTjSAvJcsOlfPFpnz0VicC7jqr2AAtMU2R2KgADX4qKfWW5sXO+QMj+WiTu5jXYncyMT2SzKdDkQiC515utNj5ZFMeTpfI9WMS2ziwP70kC4BLP9nBinvGd/fjpKioiJiYGCZNmkROTg4xMSc3Ru3BmccFN84nLcq9IJo/fz67d+9m7969SDsKPZ8B9BCZ/1GERMTx2Hsr+PqtB5gzZw4KhYIRI0by6aefkJzY3GZ5yzf7MNpcvPBnDvkvzuDb7YX8vq+M+bPS+eq64by76hifbimgb4Q363OaiwYvHBDGU+dmsKuglldXZnGk1MBxk+gXzuuNIAi4mvyItDKY0ImEeYnOyPNLj3LJ0GiGJQTRaHUgAgarE7vTxastilFfu6Bvu5oSFw6MpqDGzJ1nJXLxsDhsdiefbc5j7pAo/LXtd/0U1Zpb/X12n8gOXaaPo8bY2tnJaHMQE+jV5qH74vIssisMvLriGB93UWOlPeiMNjIrmtumD5XpabQ6TpvIPD4rjbdWZ/PsOacXVZBKhFYpQKCVL9bweH9qGy38tLuEF5ZlebZnFdYwMDmcH3cXs+5YNQ9OSWVKn3DmTU7vciTmOERR5Nc9xazNrSEjJJjKeith/u0XSSeHeDE6KYiN2TWYbU7igjRMSutaREsikXDuwGjOHRjdres7VbQ0LD1S2dCGyJw3IJL82mMdRuR2FbbuYHS4RLrgAYyPWsHFQ2MoqDHy7fYiiurN7F6fx5+ZVazPqm5l+CkCpfVmdCabh8icnR6GTCJQ0WAhLdyHEYnu2qUwPy0FNY3MbjIkPbEe6+7vdrPyaC0Au/Nq+Pbm1gKPEb4KyhpsXDIsiu7i4MGDDBo0iEWLFjFt2rQeEvNfhM3uQqlwL3o+/PBDqqur/1ISAz3u1//zEEWRkrxMsg/tYP3vn+PrrWL7tq34+7ujI88tOcTHmwoZlRjANzeM4IYFOzlaoefqkfFcN6ZZGOq8dzayt6S5IDA11Is/7x7n+fvZJYf4dFMhaoWUqX1CuXpEHLPf3eLZHxegZuU945CfoMVitjm45KNtFFQb6Bfjz5fXDefxX/by1Q53BGZWeiAHKkwU15n58Ir+TO7d2k+lI9z57R7WHq0gKkDLsnnj2j3mu+0FPPTrYQB8lQLL7p7gcbQ+WFLH838c5enZ6SSH+XnOMVpsjHh+JXqbW3Nn8V3j2l39b8mp5u01OTwyrRchvirWZVXTP9qP1LDuSbkbLHae/v0wP+0pRSaBm8clcteklP+Kw3l30Gh1YHe4AJEBz7SvmhriraDK4E5B+KpkLLxxBOkRrT+fQ6UN/HGwnJn9ItrsO456k40rPt1Oca2RKwemEBWkRJQ7OVqqI6fGzKsX9CXUrzklZne6yKowYLE7iQnQdCrr/9/Gs0sOY7E7efqcPt12qN5TqOPFPzI5WFKPWiFw+1mpXDM6oUuplJpGK6+tyOKPA+U0WBwdHicRYGRiIC9fkNGpG3xXMPbl1RTVuS0ngrUydj5+8saAlrDYHbz4x1G2F9QxKjGQ+6f0QiGTIAgCoijy1VdfcfHFF6NQ/D11GT1oC6fTiY9fAA/Nf4HH778VgJUrVzJo0CACArrvtXSce/S4X//LIQgC0Ym9iU7sTZ/B43nl3vOYM+d8/vxzOQqFgkdn9uHRmX08xz81uw8bc6qZ0781YUgJ825FZJKCtK32Z0QH4KUsxeFyUVBjatMuWVBn5s/DFfSP8cfpFNlTXM+YpCDeXXuM/SVu4aurRrprRo6TGIDFmbWnZAg4Z2AkOwvqmNGkV9IeLhoSS+9IfwwWOwnBXoT5Nk9ol3y8nUariws/3MHX1w8DIC3cB61KwYGnZ7Qap6zeTIXeQrS/xiMgNzIpmJFJwVgdTvrNX461qRBny0NndeuB762Sc/+0XkzuHYZMKjA4LuAfT2LAnXZCCd9uK+jwmAmpwSzaW4bVKSKTSjwdVQ6Hg4d+2s/UvqEoFUqsDhf1po41ZrRKGYNjAqhttFFvtSCphbe3HMXZtAYb9uI6Cl5s/s7kUrfD+JnCmeqsaQ+PzeyNzmhlyYFyRiUFdagqfRwul8jWvBpkUglD4wL4+Kqh5NY0opRJ6BXWsdXIidhTqGNTdk2nJGZcShABWgWXD489bRID8MSMdHcNHzB/Vu9un7/sYCU/7C7GandRVGsiPVTNG/dcxTPPPMP48eO58sorT/sae3B6kEqlXHz9/YTGpmM0Ghk8eDAVFRXcddddKBQKEhISuPjii3G5XNjtdpTKM+O/1ENk/kUIiYzn6vve5J35V/Hpp59yyy23tDmmvMHEyIRA5CekLu6b0ouCOhM78nSIQLBX68l0SFwA41ODKdGZuWxIDBJEnpudwqO/H/Mcc/vCfUT6KmgwO2i0uYgNUHH92ASkEtAqpAyJC8Ll6lrXD4DebMNLKWt3pTq+VyhbH2lf3MrpEkEUueXr3VTqLfxwy8g2qr2JwV7sL9HjpZRw7Rc7EBC4amQst4xPajUZ5NcYeXrxYfYW1TM2OYhHZ6a30sWx2FweEgNQrbd0+6Ef4q3qtsbKcVjtDh759RCjEgKYM/jvC6ebrA4e+XU/aw+3bf2dkBLAB1cMRQQuHhpLXrWRKH81qU0t8cOfX0mNycVP+yo4+tQUEoO92mgNtYRcKuH+aalcNCSat1YeI8LLi6RAb7Jq9B2ec6ZQ3mDmy62FZET5MbXPqX1HJ8P76/JYerCMKb3DTjrBf7Ypj+f/OIogwOsXZ3BORhQDY7pWZN8ShbUmdB2Qxxh/FS+dn0HfaD8U0o4FI7uLib3DOfz0VETEbqsbA1idTlyiO93lEkWMJiuJiYmo1adPsnpw5nDNDbdSWGXG6XQyZcoUpkyZwuTJk7nqqqs8z/Ls7Gz69+/P6tWrGTlyJA6HA5ns1OlID5H5lyH70A4USiWTJ09us++Kj7ewMdedV/9z3ihSW6RUgr1VLLx+BAmP/AHAF9vL6R9XSlyghv4x/oT5qnj1ogwsNhfPLDnIvT8fwE8tY8uDE/hwQy4LmlQ7SxuaH46FdRbOyYhkXHIIPmo53+0o4vtdRUxLD2JZplvG/NKB4e1GY37ZU8TTv2fSN8qPr64f3qX37nSJvLDkEJ9sKWq1feWhcmb2b513X3T7GPRmG3M/2kZ2U4HqsoPlXDMqoVXrcU5VI1tya7A6RNZmVXHJsNhWk66PWsZtY6N5d0Mxw2O9SYtwRwKq9Bau/mwrDqeLBdeNPGltzqniow35LNpXyvKD5e0SmU825HCoTM8bcwec0ajCJR9sYH+5uc32HQ9PJKRF5GtAjH8rVWZwt+fSNInKZUKXiJ9GISMqQE1+XSPBKi8ywgPIq2v0WEKszixDrVSQVaHHRyVnQIw/CcGnL4uuNzsw2xxU6i2nPVZHiA/W4quWE39CFLQ95FQ3eqxF9hfWM613OIoOrDU6g1ohRS6RAG27E301CrxU8g67i04H7bX1dxXT+4Sz7mgVi957lvRR4zlv2CSuGPfFmbu4HpwRJIZpOFTYSIVByptvvunZ/s0333j+HxQUxLPPPktGhtsS5bbbbiMgIIAXXnjhlF6zh8j8i1BelM3qXz7i8ccfa1fF8niKB9y1CS2JDLh1SxKD1OTWmNHI4etthfhr5Z5iVqVMilImZVO2m4TUmx0sOVDG5SPiWLKvjFqzg0C1FEEiUGN00DfcC2+VHB+1O2e9Lb/O3QKqUTAszp9bJiQyPrX9qIrN7tbGsDs79i46EQ//vJ8fdpe22T4yqX2hL7VCRqSviryqRhAg0l/TZvUZ7K0kJkBLfq2R5FDvVt5E4E7t3T+9H/dO7YtEIniKLR/+aT+ZFe4usLsW7uaHE5yrzxRm9gvlq20F9GmnvsThdPHsH+4C3Ag/FQ9M7VqRbV5lA5d9sp0paaE8OSej3WNyq9uSmJ9uHt6KxHSETQ9N5ptteQyN9e9WEaBGISMhyIsdxdWMjA3h3jG9sTmd6C12Fm6uoFTfyNFqNykdGOPLE7P70C/Kr8vjt4eUUC+uG53QpuC5O5j/yz6+2lHKpUMieO78AW32XzI0hvMHRrYhJOuOVtJocTIjI9xDQu+dnEKJzozJZmdnQR3zFx3mxfPdXWl2h5MnFh2id6QPlw2P7/Saekf4EBuoob6koZWFhkbuTsslhpycVP1dOHz4MD/88ANPPvkk7102iIZlWkbESDwikD34ZyE8QEVimIZtWTriQtQo5G0jeoGBgdx7772ev1NTUwkP77hM4GToKfb9l0AURd56+BLsxmoOHzqIStV2QjlcquOC97YQ6qtk9b0TOp1EjBYH76/PJSXUi9kt6mmcTheJjy7z/C0AC28Yiq9awaGyBvpG+pEU4kW92U6ARtEq2pJXY2DJ/goW7yslr9ZI/yg/fr51FODWzHhtxTEuHx7LqCYl2IoGC0Feii7XjLy6/AjvrMtrtc1PKWHfU9M6PKeo1sh3O4sQELh0WCyR/q2jA6IosqdIR1m9W9m3o9oLURRZdbiM27/bT+9wH2L8VPzWJPk/MSWIT68d1qX3cCYhiiK95y/DbBf58cZhDE7ommBh8sNLPR1qmx+aQKRfW02PJXuLuP37gwBogIfPSeeKEZ1PnmcC+TWNvLzsKLUGO6LTBYKMALWC5EAfvJRydGYrX+/Lw2hzcPGQKJ47r99py9+fLhIeWooL928l/8UZJzsccNt4zP1gC3anyFfXD29DoAtrjTzx+2FGJQZyw1h3l+KSvSXc+f1+ZFI48OTUTjvf7E4X320v5IfdJRTUmLA5nXir5AyM8ePm8UmdpqscThdvrjrGgBg/JqadmXSbyyWy4VgVG7JriPbXMKt/BEFN9UJLly7l1ltvZdeuXQQHd64+3IN/Bip1Vn7dVsmsoSFEBna92L62thY/Pz/P3NRT7Pv/DPu3/knWga38+eef7ZIYgEC1gguGRHPV8LiTroS1Khn3TUkF4MddRazLquby4TFc8vEOABRSsDnd+epHfz3EyMQgHpqe5tHsCGqnaDEhyJs7J3oToJHx1dYiLh3WnAq594f9HCjVs7tIx45H3WmxMF8VjVYHMpfY6UPZ5RLZlF3NuQMjuXRYLHqThbu+20OFwcFPNw+n0eJAJqFd0bGYQC0PTE3rcGxBEBgUG8Cg2A4PIbOsgRn/2eRZ2R4obeCzq4fgrZXjcIg8PKP7hY1dRbXBwv0/7ie3qpErhsdy4/jmSJwgCGQ+M73T84+V65n/+yEsdhePzkhjSHwgARoplUZ3ykHbQS3DjP7RbMlvQGeyYneK3e64OVXEB3nxzmWDMNocLN5Xyst/ZpESouWT3RUEqlWcmx7DOWnRLNyfT16NkUaLA1/Nf3flfu3IaD7fWsw1w7veVqyWSxmXGorRaueebzezMd8dATte1BwbqOWLa4a2OmdwQiABWjlhviqUJ6lrkUslzB0aS0qYD3uL6zFY7MQEaBkSd/KU3IvLMj1u2yPj/fj2plFdfl8dYU+Rjhu/2MXxxHRhXSM5P7/BI08/x7Rp0ygoKOgRtvsfQkW9FakEQny7F8m8+eab0ev1/Pnnn906r4fI/EtQVpBFcEgoZ599NuD2H1qXVY1cIjA2NRiL3cXs97dQZbDx655SDj3dcZTiRCzcUUKJzoTQIgh94+hYBsQGc+d3e8itMVGkK2Zcr2AmnbBC+3FnAff/7G6BfmRqEjeOT+XyEfFcfsLqfVRSEAdL9QiIfLg+l9CmFejarCq8VXIuHxFLrzAfXC63yFnLh9qeIh0P/HyAIK2c324fw8iX1gJufZv3NxSwp1CHTCowOjmYOyYkE+B15tozG8x2bvpyZ6vw/Dn9wvDTKnnm3PbTMmcSn28qYN0xd6rvtZVZjOsVSupJpPVrG608/ut+YgLVbM7RcbDMnY65a+Fe1tw/gafP6cu9P+xjfK9g/DTtf1aCIDAuJZgVmRUoZVIyTjOF0x1IJQI+KjmXDY/jkqGx7C+p54Yvd1KqN7HoSBGXZiQwJj4UPx8JGmXnhF0URX7cWcg7a3I4Z2Ak8yb1OuMRnMdm9+Ox2d0TJRQEwbOQiHtoaZfOCfNVs+vxs7v8GgqZhGEJgQxL6JqH1XH0bqF3syW/vlvndoQSnYmWpcc7s4rYtPQP5AlDePOB69voOPXgnwmXKHKwwMCOYw3EBquRd7NQ/KGHHkKnc9dxlpaWNvkCnhw9ROZfApvNilQq9bSKfr2tkHfX5SIRoE+EF7sKmzs8utvee+fEJDZl13DdqFi251RSbYZ31hdyxwQZSrkUo82FVBD4bnshj/5ykCW3jyLY152OmL/oiGecF5fncON498PZYnciEQRPTcpFQ2JYkVlJtcHC26uP4RLdbbdGqwOFTIqvWs4O71rmL84E4M+7RpPa9ECNCVAT6acmPkjbahIyOuCXPaUeklFQbaSu0cobc/ufVgTB7nBy5afbOFymZ3rvMMoarK32/52mgw5Xcw2RSwSnq+OaIpvdQZ3JzrWfbCKz2j1taFs8AYw2Jw6XyDc7iml0wMYcXQcjuXF271D6RPmilEnajcCdLnSNVjbmVDM5LRR1B5+pRCKQFu7DuRmRfLm1gJIGE+vzK5iQEE5suMJzP7hcLvYXNxDpp25Vx6O3OHjmj6MYLE4+WJfHBYNiiA38a+pDrHYnWZUGeoV6YbA6UcoleHXhXtn98HgGv7COmb3dBNVudzDjrQ24cHL35HRmZHRNe+lMIKdCj85kY3qfIP44VENqaPetBNrDiVo/GYnR3LpmD2abs5WVSQ/+uahvtLP2YC2V9Tb6xXkzJKX7EgiDBg3y/D8zM5MVK1Z06bweIvMvQUq/4fz5w7t8//33XHzxxdQYrLhcIk5RZHcLEjMi3p93Lzu5g3FLjE8N8aiLjkgO4/cD7pbbhdvyePa8ASw+UMrQ+ABeXHoEhwj/WZ3LM3P6AhAfpPEo10b6uSe7nAoDt363Bz+VnC+uGYpGKSM2UMMtE5JYdqCMdVnVOEQw222oZE3ERMBDYgDu+m4vy+8eD0CIj5qfbhnpidLseXQCb67K4Zd9ZTRam7sy7CJszavlaIWB9IhT0xnRGW1cv2AHu4vchdPf7Slrc0yfvzE6cdWoOHbm11JYZ2Lu4Ch6tRONOVCsQ9do5aoFu9vsMzbJiEhxE1YvpYwHpqbQ8NthzjnJBCkIApF/UTeWKIpMfmMDNUYbicFaVt87vsNjVXIpd0xMISPal635dQSqlfh5SSkst/FxeTFqpZQKvYkKgwWD1cFNE+IYlOCHIAio5VISg7TsK9ET6qPAT/3Xiald8N5mDpUb0Mqh0e52pr5pXAIPTus4tQkQ6Ksl/8UZiKLIx+tyeG55s4LybQv3YbbZuWBI3Bm/XofTRU51Iyabk2AvJQFaOVPf3IgDiPVTttLu6QqcTdIL7UW8hsYF8PbF/Vl9tIroAA2XDosh3LenrfqfDFEU0ZscVDfYKKuzkFVqQquScs6wEMIDTl+EcvLkyRw4cABf35M/q3uIzL8E6QPH0n/kFObNu5uhQ4dy6fBY6kw2FBKBZYfLOa57df2YBAK8Wt9ktQYLt327h4Gx/q3qRXRGGzWNVmL81cz9aDM6o4O3L+7vITKPz+jD9H7hTO/nrjZ3WG08tyKXr3YUMTUtiFFp4Sy5cwyP/7KfI5WNPDwtjdn/2cChMgNqhZR6hZWXlmdy05hEIgK0nD8wivEpwQx7zq0UKwJDEwKJDdAwOyOSL9bnYmwKOKSEtJ6wW6aaArw1JIb64HC17WCy2F1UGay0178jiiJv/nmYDzcWcd3oaO6b2qdNXv6n3SUcKG5o52w3bh4Xxzn9/74VcqSfhl9v79i3aHdBLed/sK3N9osHhbH8YAX1TfH8Wf3DuHa0W+m5T1QAizoZ8++AKLoLXsGdvjsZfDVyZvWPYlZTm73TKVJSa8FocWK0Oti5uRqVXE6Mn5ZdxwxU6+yM6ROAl0rGF9cOI7uqkdgATYf1NKIo8vnmfIK8lK2K37sDH40cETeJAXdX3vvr8xiVFMTo5JMXsa7MrOCFFiTmOD7eWHDaRMZotTPv+32oZFLemNsfpyjy/c5ifttTSr3ZRmKwF+cNiOS4fF59J0J67cFksXPxx9twifDdDcPxOiFVJJNKmNU/kllNn+0rr7zCqlWrul0r0YO/DkaLk+oGK1UNNqoabFQ32LA2OZx7q6X0i/NiYJIv8v+CoGcPkfkXYe4tz/DmQ3MZOXIUy5cv4+1LBpJXZWDpoQqkgsgz5/bmrLS27c47CnTkVBupNlg9RCa3ysDE192GdgEqaFIW5+FFh9usxCa9soacWjODopvJxZtrshmVFo5EIiEtyp/1uTpeW5XNgaZ6DAEXVY1OFmwt5vudJRx91l2UGqBVcNGQKBbuKCHST8WLc/oR4KVAKZOy4aGJ3P/TPiL8NMyf3YfO0CvMG2+FFIu9daolUCsnPbz96vdKvZW31rmLGN9dX8RlI5LaaJzEB2uJClCRX+v+QMK9pJQ3Nkd9BJdIF+xu/jYYLG11QgCGxwYwvV8UN3y5C6VMwu0TUv5RxZQSicD7lw9kwZZC7pmc3O3zpVKB2JDm785GONct2EVioJr/XDyMzUd0/LCxnBG9/OkVpWVIXOfy6dUGC6+vzEImwLS+4af0sP7quuGc885GT03ScWw4WtEhkTlaoWft0Sq0ShmL95XRXuIwJez0U2FVeiuZZQ1IBTCY7RwuN/DN9kKymqKpeTUmJILA/WcnsSGrhqfObfv7M1jcLeGJQVpiT/BLM9ud1JlsiCIYrI42ROZE9O7dG1cnadIe/LWw2l1UN9ioaiIu1fU2jE3RbbVCQoivgr6x3oT4KQj2VZyWPtCZQA+R+RfBLzCUe175ifeeuJqxY8fxwCsfcYgoxicH4qNRMndwjGeysjlcuER3N9DZ6aEU15kYENscwluR2azYWtdCCyyxyTiu3mRDZ7IT7a8mp8mc8UCpgQC1FL3ZyWfXNIvYDYjxJznEi2FxATidTg6U6Ll5QiKv/uk2i3Q6mmd+QRB49tx+3DUpFV+1vFW3UqCPiktHxDH/t0P4rznGvWf38uw7/92NHCjR8+j0Xlw9JpEhcf5M6RPO4gNlNJjdq8dgLzmXDo/t0HvnxB+jpsXfTpdIbpWBQK2CK0fEozPZmZkRQaPFzpz3t3qO+3BjIePTwrtdQPlXYWxKEPNn9MJgsfHG6ubW9A825LH8vonsf3IqUonwl6yiNhyr5K5vdxOgUfDr7aPx0XQv3DwuNZRxHegMdRejkkM5+mwzAY8KUrPliI71h+rIKTcyvm8g3uqOH4cBWiW9wnzwU8uRnWIxsEQi0CfSpw2R+WhzEQ/PbBv9qzfZeG15FhtzqpFJJR0WvN48PuWUrqclXl95jNJ6KwLw5ups/DUySqobWx2TX2vkjonJ3HZWapvz7U4XA59a4WnbX3PvWBKCmxc2gd4qPrpiME6XeFJxyPLycqZPn8706Z133PXgzMHhdFFeZ6W4xkJxjQVdU9hQIRMI9lWQHKklxNdNWrxU0n/Uogd6iMy/Dj5+Qcx74TveefoGHr/tCoJn3Y8mdSR7H5+MtGmy2ppbw4M/7cdgsXPnxBSuGZ3AjeMSW41z0aAoXll+rNUKUC2Fty4dRLnOyKiX1uECRsT78eN1g7jnp0MEeSuoMzl4fW5vvJu6XRxOF2lhPnze1Cp68wR3e/CeIh3gJjIzMlpPVhKJ0K5kvdMl8t2OQvQWBxuP1VCl309BjZEPrhhEbrURuwibc2u4ekwiEomE+bN6Myg2gF2FtcilEsamhDAg2pf/rD5GTICWcwe0ThH4quWsuWccW3NrKG+wcNH7m8mI8uWhGek8+NN+Vh2t8RzbJ8KbKH81Fw6Opl+YmgMVbjInl7QmQP9tSCQSrh3j/m7DtEoe/N1dfP3wDDcJPF2X7c5wy1e7MNpBZ7Fy6cc7WHLX2L/stboLpVzChH6BJIVrWH+ojl+3VnLOsBB8te2TBZlUwk+3nF6bcUFNI7/vbZvu7AgGi4OSBjN2p4hTdBHqraSs3tKqQy5ACUkhp69gvDGnGnCncxdsLWz3mGAvhUde4UQ0WhweEgNwsETfisgAXapLe+2113j55ZfJycnB27tHs+yvgiiK6BrtbuJSbaFcZ8HpAq1SSnSwiv4J3oT4KvHTyv5xpKU99BCZfyFUGi8uvO89/vP8HVQvepGAs2/lSPlQMqL92V9Sz8t/HKFI5w6zvLL8CDMzIgj2bk0cAr3V5Dw/nX5PLaexyUzI7IQN2dXY7C4PwdlZWE9KVADvXDGYe77fR6PVyTNLM/lpdwmjE3156Dd3Tv/wk1PQqppvt5RQb/qEeVNpsHD32Z0XOx7Ho7/sZ9WRGmTAi+f34aav9tBocZBb3cjiO0bzy54SrhjeLPiikEkYkRiAzmzh/AFR+GqUFNeZ0FscFNeZPMe5XCKZ5e5ujHBfFSE+Sh5d5G4ZP1ZtIq+mkd3FrVfR2ZUG+kT6IggCc4cnUrH6GFUGG2F+Kir0Fvp26R39vZg7MoELhscjQLdNOk8FkQEqjlW677MjFQY2Z1cxKjnkL3/d7iA6WM2ckWEs2l7J4h1VnDM8tNPIzIkQRRF9U8TPR93xQ79Kb2H2m+s9xdUAo+I07Cgw8eL5vds9L8xXxdTeYZisDrxVcm4Zl0hWpZ7/rMlFAPpE+vL2JQPb+Ih1F6Io4rK3n4IE9ySRHOrFiKQgojuIpvhp5KSFqDlS5Sb0Y1K6Jr4I0NDQQHFxMX369GHu3LnExcXh5XX65KwHrWG2OSltirgU11gwWZ1IJQIRAUqGpvgRHaTC30v+P0FcTkQPkfmXIirAl5DZ91O7yoe6P99h38aR5KeN5NUVWTRam5+mMonQYahcIhF44dze3NGk4Apwwxc72fzwRPxUUuotTs7LCOOdNTnUGW2c2z8Cm8PJwu2F7C+pZ0d+cwTjUKmOYYnNdQAqmQSXAP5eSkK8u5ZyKG7KcYmC2zX6yXN6k1fVSN9IP1ZmVlLaYOWlP48xLiWEqX3CkEgErvliJ/nVRrbn1vHhlUOIDtAQH6jm5eXHOFLewLuXDeKPg+X8sruYknoTaWG+KE6IUhw5IRUAYHVCdIA7zZZb3UiVwV01W1pvoajW1Ob408Wm7Co+3pBPkJeCR2amEaht+5mJors+pzOS8neq3P522zi+3V7AayuycbhESnR/nV/RiXC6xC6/V41SyqyhIfy+rYrF26uYPSwEg9WO3uIgNlDTYdRq0b5SFmzJx0ctR6uQMSDGn1kZEe1GE49VGdCfUB/7zJzBJIR0HHWQSyXcNC6RSemhKGVSEoO1TO4Tzg3jkiisMeKvkRPsc/LOnoLqRsoMJkYmtE8iBUHgkhFxfLghv/39EogO1JBT2ciuIh3D20mbCoLA0nkTqDXa8FbJuhXpu/HGG8nJyWHXrl1ERUURFdV14cAedB2r9tVQWmslwEtOcoSGqCAV4f7Kbstx/BPRQ2T+pZBKJNw/rh+HU59l9Qc2HrzzJqY88gk6k7swUCVzC2jNm+T2bpny+jqCvZX8cMsotC20LWb2j+bxRYept7hjMBIB/DQKdj1+Nma7k8JaE++uzcFsc3KgREdxnZne4T48OjMdp9PBhR/tRCWF/jEBJ1yfwJD4AGx2Fyq5hD2FdSilEnp30rr81iX9eWpxJoPj/Yn01xLpr2VCaij7i+v5aXcxuwrqAKhutBITqKFPpC9DYv2p1FsYndS8QtyWV4fR5mR7Xh16s4NNOTWsaRKVy64yMaNv61SXqZ3FaphW5nHwjQ3UEuKloKbRRmyAhij/M6OtcRylOhNXfbYTZ1PoPq/ayK+3t/ZucrlEpryxjvwaEzeNS+COiSl/adqoK9AoZFw/JolBMYEU1hmZ9TfonVQbrPy6t4S8aiPhvirOHRDZJV0YL5WMWcNCWLStkh82l/PelsPUmZxMSgvhP5cObPNZNlodLNhSwOFSPSIiMomEA8X1VOot3D05pY27c8AJwoIDIrSdkpjjUMml9D4hJbMjt44rP9+BVICtj0xsE01tCYfTxaQ31uNwwfjkQGZmRDJnYFQbsnvL+CQcTiefbi5qM4ZSKkGtkGGwOmjspFtJIhHaWCl0hE2bNuHt7U1GRgYvvPACSqXyfzIS8L+EUWn+KOQSvFT/vmn/3/eOeuCBRBDoGx5A8oNv8sq957Hlg4eRzXkRiVJDfIAGlVLOxNRgzn9/K1VGB1VGBz/vLuXKkXGeMQRBYMG1w7n6s204XCIfXz3UUxjqLZWQEKxlcKw/FXoLRyv0WB0i1Y02Bsa6iUtHWhOCIPBUU+eRW5tlFxIBtjw0EZlU4OFf9rM5p46nzklnYpq7vTvIW8Xbl7o1cA6XNvDIrwcZkxzE4LgAKhosmJo6lCobLOia3JWfPrcvj8/q3aqY9enZvVHJpJw3MBKnKOJq0WYk4nYC//KaIfyZWcHewjoyK4xtrn/hzaM9K/5zB0QilwqU1VtIDvViXOqZ9YM5UqH3kBhwr+5PhNnuJLvaHQn6cmshDlHk1rFJ+J6i2WGV3oKPSo7qDNT7DIj1Z0CsP6IoctVn29lTpOPJmemc345b9+nA7nTxzfZCPtmYR6PViUICedUGHp/ZhyBvJaIosjm7GpvTxYReoW0mTm+1jJlDQ1i4vowIHx9qTDpWHqkir7qxTX3H4dIGTFYbdqeIC7A5XdgaLGzNrWVKbz2DT+iCSgv34f7JSbyy0l0X9srcQZwq6s1WRMApgtXReWePAMglQlNEzMSOgjrG9wppJWD4x4FS7vh2Xzs+2G7cNzWVlFAfGq0OhieefhG7y+XitttuY8SIEXzwwQckJCSc9pg9ODkCvP86jaT/NnqIzP8DqDRe3Pjoh7x892yGZn7Bc+9+zgM/H6S0oZHvdxXTP9qHY9XuyVqjaLsqyojxZ/f8qUDbtIVGIeO6MQmIosik9FC+2VrIpcPdE9S6o5WsyKzgosEx9D/BhO67HYVE+WkYnRKMl1JGpJ8alVyCTCqwu0jH97vcQnO3fr2XrOfauqJWGiwYbQ6Kak3M7h9JQpCG6kY3eYkP0rQS0zqxI8ffS8UrF/UH3OmYgTH+FFQbyK020TfSm9HJwYxNDWFsagi78qq54KMdrc6fMyCCqIDm8X3Vci4d1okZ02liYIwfWlmzeN2I+LatwlqljKlpIazNrsZodfLh+nw+XJ/PlofGE+HXHJG45rPtbMmt4dKhUczKiGJgXNuJaXtuDbd+u5dQHyV/tFOgK4oiG7KrGBLjj0bV9Yej3mxn/XE7hRXHzjiRqTPa2Fek84gg2lywaH8Fi/ZXkPv8dI6U67nlmz24RHjvsgHtdkT5aeU4cJEc6MOBCh1audBut1C92Y7ZLrYqvHWKYLQ5qDe11b0RBIHbJqYyrU84crmE6IBTrwGZmRFJdaOVp5ccZfRLa/GXw95n3AsGp0vEaneiaSrKlUol7J1/NjsK6liXVU1yqBf+LaJDDWYbt327r9X7EIC0UC0apYx7z05lRAfu8acCl8uFRCJh+fLlhIaemY60HvSgh8j8P0FoVAJX3/cW7z11Le+9+RoNAeNQSCVcMjQatUKO2SFSXm9hbGr7efSTFYcKgsCw+ECGxbsnxqLaRq79Yhcu3DYBux8/29PxoDNaeXt1NhqljJX3jEcuk7D4zmYBtpb+Pj4dhEHP6hVKQpAXYT5KlHIpl4+IJzKgCqVMyvjU4C53cgiCwJyBUcQEaKg32wn1UTEg2s+zPy7Eh9GJgWzKrfVsM9mc2Byuv034KUCrYvFdY/l2RzFBWgXXjmrfZfqdywfx/c5iHv3tkGfbttxa5gxqJjL5NUYcLvh8awlfby9h7/yz8VK1nqglEsHtZ9XB9Vz9+Q7WH6shxEvBjscmd/l9+KjlxAdqKKozccHgM5dmMlrsFOvMhPmqOrxfGq0O1HIJMqkEp0v0TPQtoTNakQgCQxL9kCJhbHwQl4+MJLKdVGGQlwJvlRyZxMxxqSKZ4H6PgZ14eSWEduzg21UIgsCiFt1POjuYrQ4UcikDnlqO3urijglx3DvFbVaqUsgYmxLC6KTgNr/jqobWXVDgjkp+dcMIAk/TdsLpdLIxq4rRKcHIZDIOHz7MlVdeyZIlSwgPb7s46UEPThU9ROb/EfoOm8iMS+fxzbuvEHKBBnXiYG77dh8vXZDB25eeeqi7PWzLq/F0NtkcIlaHC23Tc9FPo2BAjD9hviq+2JRLZkUjUX4qLhseR6CXkuQQb769fii7Cuq4eGjHkY64oOYJ+pklmVQ0mPnt9lHEBnZvtauQSRiZ1H6Xhb9GgUtsHb4fGh/QqsXa7nQhkwhdzvFbHW4ipFXIutw9lBDszWMz2tMjboZMKuHSYTHsK6jkx33udtoZfSNaHbP63nHkVBm56etdWOwu1O3U0QyJD+TPu8bgo2q/FTnGX40EulwPcRyCILD2/gkeP7AzhSlvrqfaYOPJWb2ZmRFJpd5KTnUjtUZ3ZMRf5ibEvmpvfr11JDani5RQHzZmV3OkXM9Fg6P5YWc+zy9zp33evrAPBpudkTHhHC2yERdgJDFc06p4OD3cl3EpwTRa7NQY3ZHAIC8lY5OCSOtAcLG7aLTYUUolyNv5jobG+bO/tDnFqJAJ2Bwu9E0dhmuP1nLvlNbntHevHSrTt9nmLXcX058uej2+3EPy8l+Yjs1mIzk5mcDAf4bGUg/+PeghMv/PMP3Su9i4cwtVPz+NJnk4ywfOJDZAzVPn9utS10t70Blt6Ew2ovw1HhPI7XnNhoM3jInDv4X0uyAIvD53ALd9s4tPNhV4ti87WMbCG0fhp1UwMimYkScJaX+8Pptt+To+uWoIGoUEuRSU3XRbPRGfbcjmzTV5PDIliYtHJGKw2NjS4r1M7hXI3CFuYUFRFFlxuJJVRyqJCtBw+bCYTlexRquDtUer2FlYh9XuIsJPzbiUYPpF+Z7yxH7idyYIAq9cPJRXLm7/eKlUSmq4D+vuP6vTcS1OF1+szWF0UlAbcb9nzuvHE7P7nHK3g93pYnNOLYkhWmICTl+V1k8jp9ZkJ8hbwaT0UKL8NVQ3WvFWykgK0eKtam4pjWuhOJtd1UiNwUat0cYPu5o9s37YU+Ymc5nFnNsnhjUHatmeVU9qlJbUSC2C4GLCq+uQSQTumJzM/iI3GRiWEMCktNAzUmT96M/7+WZnCQCLbhtJRnTr1Oyjs/pSYzCzKbuOty7uj1QqRS2FuyYksCarhvcvG9Cl1xEECPVWUNnUdaeVwifXDPP8jk8HLUW1XSIMGDCA77777rTH7cF/Hzabjc8++4xhw4YxYEDX7rW/EoIonlxQXa/X4+vry+s/HUKt6REp+l9Ho7GRD7/8gMItv2GvLSY4OpH5D8zjtdxQRKWGOf1Def3iwV0aq6jWyNwPt1JpsDKzTzAp4X7MGRhJgEbBS8uPcvnwGBJD2gph7cyv48IPt7bZ/vS56Vw5vP3UyYlIeGgpLuCVC3pzwSB35OZ0V/pxDy0F3N1ZeS/M4KuteTze5OAtF2Dfk1M8KbLSejNP/X6I3GojCpmEO89KZlrf9kPmdqeLLzYXsO5YFXqzHZdLRC6TEBug5apRcQw8oYaoKzBa7Yx4fhVWp4vV94wj6jTqLk7Exxty+WxzAYNi/XjnNKJ1JpuDBrOdQK3SMzku3F7EhxtyiQ7Q8MU1Q0+7JVwURVxi91vL9RY7tY024gI15FbqmfzmJgRgy4MTCGuRTqoz2DhY2EhuuRGbQ6TaaGZHcQ1Hqhu466wkbp6QhM3uZGteHYNi/fE/xQLrluj3xDJPdOWiQRG8fOFfM1k4XSJ7i3QEeStQSKUEaBVnrNtt2YESbv92P6PitKj3LuT+++8nKSnpjIz9/wGNZgc7jtUzONkPH80/L+YwZswYxo8fzzPPPMPOnTuZMGEC7733HldeeeUZe43j3KOhoQEfn44jnf+8T6cHfzm8tF7cev08dk25jKrs3VTvXMxd8+YhShVoe5/FTzXTu0xk9hbrKNdbAVh8sBpFZg2/7ytnxT3jeGJ2x7JwtSZr+9ubVoZdQXq4F4V1ZqakhbUiMIeLa3l9VS53TkwiNdy3Ww/mhCANeTUmeoW6Cfvo5GAEjiACT8xKa6VsKpMIyKQSRBGkgtBhJEsURfYU6tieX4vOaKNKb8FsdxKoVYAIa49W0S/St9sRjnKd2TPZfb2lgIdmdu4/1VU4nC76RfkxJimIKb3DTnmc4joTr604Sk6VkZGJgdw+MRkflRw/rRylzC25fyYSTIIgID1hIIvNyeqjlewrrgcRMmL8mNgrBHWLtmgfldyTPksK8yW/gw67AG8F4/oEMDLNj3u/PUCASsX01CjCvNVMSA1CLpXw7JJMft5TQp8IH767aeRpv6fbJyTz/PIspMBdZ7VvQWC3Oxjy3ErqLS6ePSeVy0d0nSTUG8z0f24NAN9eO5i4wM69po7DaHXw4foc/LUKrhge1+k9O61fFLn9otizZw+3fL6P+vr6Ll+fKIrU1jeSm1dAVEw8gkTGwYMHKSoqYtr0GXirpahkoFSefgrsnwanU+RAgZ7duXrkUoHUKIeHyOTn5xMTE4NUKqWkpASlUklw8JntkjwZli5dSlpaGuvWrcNqdT/HY2Njeeutt7jsssv+1ms5jh4i8/8UarmMMQnhkDATpsxEV1PO25+8ReXuZTTuXcr4nB+5/fbbOOecc5DLO35YpIb6oFUIGG0iiUEq6szOdgWzTkRysBdKCVhP6B7tF3VyGfPjWHLXuHa3X/DhdswOkdVZ1QyL8WHhzaO7nC5bc9+EVn/HB3lz4MmzsTtFAk5YaYf6qLh8eCzrs6qJ8lczsoPW1KUHy3lh6VFciKhkEmqaajdcohWNUk5ZvRmdyd7tmhNlC4JWrmvbIn4qOFTawPJDFZQ1mJFJBApqjVQZLF0WLWyJPw9XsOxgOVYnZFUaqDfZuXpUPEnBWj69ajCBXsp2v5et2VXk1Ri5bETXInMnos5o4+FfDnCwpAG7032DLT1Yzu/7S3nhvH6nXMQql0q4amwMFQ0WnGYpMcFR9IkO8OwT6Fhcsru4cXwSN453E5NGi539xTpPeulYpYEFWwr4Y3+JR9/pqcVZ3SIy3+9q1ot5dukR/kjpWgfRuqxKPt2Uj0SARXtLKdaZuWVcPHk1ZtRyCXeclYLfCb+TgQMHsn37droQ/GfrrgMUlBvAN55d27fw+gMX8sSHqwmLTuKnjz4k68BWnMFDAHj06lFMmHkJl153DyZdORtX/sxV195ERGggXmoZ/lo50hMZ7j8cRdVmNmfq0Jsd9I31ZlCSL0q5myyWlJTQq1cvPvnkEy6//HIuuOACkpOT+eqrr/7Wa7zgggt46aWXuPPOO9Fo3JHLkJAQrrvuOoAzXgPXFfQQmR4A4B8UzvyHXsRhf5q9W5azccmXXHjhhYSFR3DLzTdxww03tNtp0Cvch6V3jqVCbyU9wqfDAtETkRjizbzJyby9OhuTw522uW5MPONbtMSKosj767I5WtHI4zPSCe7A7PE4jlXoifJXMywhkHVNbb57ivV8uimPq0bGn3Lev7PCx5GJQYxM7FyO3eUCBBFEd8pKKrhbdZVSCVLBbdh4KtcWHajlkqHhZJcZefXi0y/WLqo18c22QgwWBwqZgMsF2/PraLDYuW1CUispfLvThUQQOk3nlNQ10tQJjd0psmhfKcsPlaNVSLl9YnK7Let2h4tLPt0JuFM/0QFelOhMBHkrGRwb0KrAuyO8tzaHvUU6JIK7ABZAJhXYW1TPu2uyT+qc3hkGNekjrTlQi97ULA738LRenN07hD5d8BPqLs5/fwslOhOPTE/jsuFxnPP2RsyO1qTg9glx3RrzqpHxvNBk2vrBlQO7fF5KiHcTqXWyr8RdG/TsH8c8+0vrTHxw1dA251VWVjJ16lTef/99hg8f3mZ/aa2FLUd03H/dlYRFxvHCm58Sl5ZCnxveZEmJGWd5FpbUmaiSpnPR6DDMNhf1Dz9OREwK/l5yco+Us3njeiyCLyPOngtAcriGUen+Z0QL6a+G3uRgyxEdBVVmIgKUTBkY5NF9MRgMeHt7ExUVxcKFC5k2bRqCIPDee+/h5+f3t19rYWEhWm3b36Eoilx88cX07t2b+fPn/63X1ENketAKMrmCIeNmM2TcbEryMlm/9Cuef+FFnnnmGebMOZ9bb72FMWPGIJG4J96cSj2P/nqI2yYktUtiRFFkb1E9G7PdDr6T0kJIDfPh0/W5vPRnNlq5wE83DSfAS0F8kLYVk99dWMfLf2YDUK23sPCmkdgdLj7ZkI1UKuG60YkeI8wvNuXz4p9HiQ1Qs3zeOD5cd4xvdhQzNikQERDbNJl2DLvTRZXeQoSf+oysLGZlhJMa5sWnG/PJqjQQG6DBIYpo5FK8VDL6Rvl26Gx8Mrwwp+uT0Mmwu7COOqONRoudXYU65DIJk9JCya0yklVhoF+T6vLR8gau+Xwn/moZX1w/vMNozZoWJpsAVqeI1elEb3Xy6G+HUUihX3QghbXuaFJyqDcx/ioP0dtbpGP9sVpMNgcKmYRd+XVcOTKe9IiOc+VFtUZWHanE6XShtzo8RMpid+CnUbAlr47aRutptxaDi5yKRgY/s49dj09BKpUwNL7r/kLdQVyQhjqjleRQdw1USxKjkMKCqwcxIrnjFGB2RQPrj9VwzoBIjwqwSqnoUKyyPRTXmajUW4jy1/DLrSMZ8+Kqdo8r1LVvzyGTyejduzcxMa21g0wmC7fc/QiJQ84ho08vvvzqGwb3SUStVvLsigMYApJwZ5ttgBykcLCsnoJaI3fcco1HhXxCv+nce81UBEHAZHVRXW9l7aE6bAdqmToo+B+pGmxzuCioNJNTbqSkxoJaIWVS/0ASwzSe662qqmLQoEG88MILXH755cyZM8dz/sCBZ+633x2EhHRsdTF48GDi47seSXU4HOzevZukpCQCAwP59ddf+eyzz/j999+79Z31EJkedIiohHQuu+MFzrvmIbat+pkNf3zFDz98T1BQMNOmTWXChAn8lllHVpWFJ/Mz+fmh8/H3b120uj2/jnsX7qLU4F69LtlXzH8uHUxDk9+TKAoMivNv96b1UsiQAC7waHMkP7bMs//5Zcc8D2NvtQyp4BboEwSBmyekcvOEVJwuEVEUu1V/cv+P+9mRV8u1o+O5fmziyU84CQRBIDXMh3MHRvLrnlKK6kw4XSJapZSMaD+mnkYdSlfhcB6PTHT8OVQbrCjlUjLLG7A6RWxOJzWNVrxVchrMzSJvP+0pplxvpVxv5Wi5vkMi0yfSlyKducPXe2bJUYJ9VBjMdqQSgX5Rvlw+Io7s56bx/a5iftldSlalHpPNhUIqYHeIrDpSSa8w73ZTUpV6C88sOUxBk9eVAB766nC5O7sMFjtbc2qY2b+tjo3ebOfxRQeJ9NVw/9TUTh+ku4pq8FFqUckUOJyuTj9Xg8VOUZ2J2ABNG82evUV1qBVSeoV1HMl5eGoKb6zKIy3Ei9lvrfNsf2J6EhcNS+zQkRrcUa3Jb24C4K2VRznw9PRuT+qHyxp48Y8jHCrVMzQhgNsnJNPYdDt4KQSeOqcP9/14EJkAj07v3e4YgYGBfP31162vzeRg0aYSVi5fQq+0PsweNhZBaI7I+rVT4DotLYgFWwuo0luJDdQyvoXulV6vp6ioiH79+qEN03CWRGDZ7moOFBjIiD8zLfEdwWxzUqmz4nS5o66C4P7dSwRwuESsdhdWuwubw/1vo8VJSbUFh0sk1E/ByDR/UiO1yJsiszabDblcTnBwMHfccQcTJ05s85pLliyhqqqKa6+99i99by1RW1vLvHnzePjhh0lPbysHcf/99wNgt9txOByo1W29wKxWK4WFhaSkpGAwGBg+fDgLFizgyiuvRKFQEBAQ0O17tIfI9OCk0Hj5cta51zJ+9tXkHdnNoR1rWLtpTavcbBYQ8PIN+AcEMmTwIBYvXoxCoWDF4QoPiQE4UmliY3Y1d09OYUicPykhXh3etL0ifPnuxmHk1zRyzoDoTnPs5w+K5uz0MLTK1mFkd+qj6z+KPw6Wk1NlQCaFCP+TG/J1ByMTg4gN1JJZpsdsdxLmo6JPpE8bX54zDYvdyUcbcrE5RW4cm9Bh+i/CT83uQh3JIV7UNtpQyiSEeiuxnlAfNKlXKAu3F6NVyIgP6rhT6razkthdWOdp7T0RDqeL3Orm2p7yzCq0Sil9InzJqzbSaHVgsrkQELE6ROpMNkp1JgwWB76atu9h+cFyVh6p9vx9/G4RAJnE7Ueltzr4eGM+QxMD2xCwnfm1bMquQSmXctO4xHZfw/PeJiXy3vIixieEdEpidCYbA55eCYAE2PfEZHzU7s/y1z1F3P2D25B1ye2j6NOBz9gdCw9gdTi48IOtHK1ujng89UcOn24pYc194zlY2kBisFcrMUlwp+qOw2wHp9PFlZ9t53CZnhfm9GV6v5MLEx4ormdLbi1OEdZlVTE41p/Bsb7kVZt47aJ+TOgVxtQ+EUglQoeF9S6Xi3vuuYcbb7yR9PR07A4Xf+6pxmJ3sHvPXsJP8MPaU1jLgaJmjRu13G2VMjQ+gN/3l5JZpifjhM9r3rx5HD16lG3btgEQG6Kmf7w327PqCfVTEuZ/ulG4ZjidIhX1VkpqLJTUWKjWn7xJQSYVUMolKGUSVAoJg5J8SYrQtHFbr6ysZNiwYbz77rvMmDGDBx54oN3x1q9fT2Zm5t9KZIxGI4WFhdjtbdWrW2LevHnodDq+/fZbbDYbO3bsID09nYCAAO666y7WrFlDVlYW/v7+7N2710OKZsyYwYwZ7sXp+++/T0VFRZeuq4fI9KDLkEgkJPUeQlLvIZx7zYPYLGZsNgt2mwVDfQ1VpQUU5hxgxc8fsWPHDkaPHk173EMU3auVMSnthyhbYmhCEEMT3CH7oxVtxbsAyuoMfLmlkJsnJCGRtJ187A4nBqsDf43ipEx/0b5SLHYXd01OZfoJYnJdgcPp4miFAavDSWygtpWnDUCkn5pIvzNLkE4Gi91JtcGGSxQx25wdEplBcf7sKKijymBler9wEEFvcZAR7UdKaLPswvDEYDY+6PbE6qwmKj3ch8dmpPHqimxcokhFvRl7i/tBqZBicrQ2IcypMlJab8Zfo0AukyCRCDidIhJBQCVzmxceL34025yom+ofKvUWVmRWtrkGL6UUSdPK2O4S6RXqRXpk+6m8kUlBzMyIINJPjY+680ejVqVgbFoQmcWNnTptHyyu9/zfBRwpN3h0eapbEDy9peOJ8O6JSby1NodYP2UrIgPu1f+ctzdzqNKASiaw/4kprYrAA72UvH5+X95dl0Woj5Y3V2V5dJHu/G4fD/x8EJlE4Kebh5MU6o4K2RxOHvrlALEBWu6alEKjxdbs9eUUKdaZSQrx4dEZvRnQJBvQUVTIrYAtUFpaytKlS7nwwgsRRZH1h+ooKa/i5bumI3/+Oa6++moAyurN1DRaOVzagAM3CVUr3DIFAVr3dzY7I5LZ7RiQPvDAA57i0+MYkuJHuc7Kqn01XDAq7LTqZax2FzllRgqqzJTXWXG4RNQKCZGBKnrHehEZqEIhk3i0nVxNsgAyiYBCLjmpPMDmzZsZNWoUISEhXH311SdtVX/llVdO+b2cKmJiYtiwYcNJj7vyyivZvHkzADqdjjFjxrB48WJmzpzJ3Xffze233+55Fvfv37/dMWpqaqiqqurSdfUQmR6cMhQqNQqVe1L2DwonJqkvA0dPZ8vyhWzYsIHRo0czuXcof+wvptLoLlZICdYwOvnUagneXHXMky5QA1senQTA2Fc24BDhu10l7HtyaqtzdhfUcv4H7hVauI+CtfdOQNVJKP7mcYnsLa4/pbZjp0vkx93FbMmpxe4UifBTcc2oeKIDOnbDLqs3cahUT3qET7uu2QaLHUEQ8Orkmo9jZ34tvx8oY1bfCIa26Bzz0yi4cWwCTpdIaCcF0+G+aq4eGceKzEoKaoxIJQKTEwI5Oz2sjR3DiR1c7UEQBGb1j2JUcggGix2pIPDE74eoNlhJDPZiXVbbh5SvRo5KLiElxIuDpWqsdid1RhveKjlRARqGxQegkkt5b20OKzMruWlcAlP7hLOvuB69qXUaSyWToJJLsTpcGCwO/LUKPrxqSBty+civB1h2oJyHp/fi0enp1JttXQptJ0Vo2Junp6TGQmxI++Q0ObS17lZ8i2Ll68ckYrE78VXLGJHYcQvtWb3DOat3OLWNVn4/1Fybcl5GOFP6RnDP93sAsDhETHZnKyIDkBDmTW6tjdxaG1vym8UdJeDxpVq4s4THZ7qJzLFKA+uzqnGJVUzsFcwH6/M851hFuH50AqX15pMqGG/MruaPvYUkeItcP3Uwx465i4IPFhjIKTcxa3QSwgP3c/bZZ3vO+XFXMfUmO5ePiOWV82XIpCJ1Jidp4T4kBneuk5Senk5JSUmrrhmpRGBy/yB+3FzB2oN1TB0Y1K20hcslUlxjIavUSEGlCRGICFAxONmXqCAVgd7yM1J/s2DBAq677jqysrJITEzkySef7NJ5VqsVnU5HWNhfn55uaGhg/fr1zJ49+6THDhs2jGHDhgHutOKRI0eIjHSTz9TU1C693mOPPYbBYOCDDz446bE9RKYHZwyiKGJ0ONH6BlJT4/YmGpEQyFuXDWHDsWrkUoGze4cRppUz/PmVzO4XwSMz28+pt4d+kb6sOVKFIMDjM3vj39Su7KWQUm91EuHXdpK+8tNmw8dyvY3vdxdx1ciO3XYHxPh7VpndRYnOxI78OgK9lHgrZWRVGtiSW8P5vlE4XWKbCcZid3LTV7s4XGogOUTLL7eNbrWyPVSiY/Y7W0CAP+4cQ6+TTBzvrM1hd2EdBTUmvjqhBb4zMtUSCcFe3DRWi97iQC4VzkjaK0Cr8BCfm8YlsXBHERa7s03GL8JHQXygllWZlSzaV0pMoJYRiUHUm2xoFFKGJQRyVpo7iuellCGT4rGKcLlEVPLma00OVDIqNRypBBpMNlYfrSDSV9kuIdxdqMPUJGinkEnJqTIyZ2AkCSeZOAO9FQR4y9mT20BkoApZO62+4X5qNj4wnj2FOgbHBRDSgkhKJAJ3TuraQx3c0ZXc56Zx9efbyao0Um9xkF1p4NOrBnHtgl04nbA1p7pVukgURb7fmt9qnAsyQogP82NQlC+3fLsXmVTCVU2O96IoojfZqTfacQIz39nS+hrUEBOoISbQfT9VGyxUNXUsnjih7y+u56sX7gOTjqsO70Ehk1Jaa2FrVj0Z8d7YG0oJi4olIqI58jkiMYiiOiMRvmoSh3TPVNThcDB8+HCuvvpqnn32Wc92L7WMs/oFdqteps5gI6vUSHaZEZPVRYC3nGGpfiRHaNEoz3wX1IABAygsLPRM9l3FrFmzqKqqYu/evX95QfOCBQt4/PHHycvL65bNhEwmo1evXt1+vZ5i3x787XC5XCzPKuFAVQM1tdUsz2nkEYOVIG8lwxMC6Rvpw0vLsthdqGOZ3kKt3sbCnUXdIjK3TkgmI9oPuVTC0PjmH9LO+WdT22gjpB0dFoujtVBNZ4WRpwuHS8TpEpFL3aaLEom77fiSj7fSYLKz+I4xrciM3emizmhDBOotdo/myXGszapy+1WJsO5Y5UmJzNjkYMrqzYzpwDeqI5TpTPy8u5ize4eRGu62SzjVLqqTYUicP3KpwL7ienpH+FCmM2N3ORFFd3RgY041epMdh9NFWrgPD0xN9URkWl7TlSPjuLJp8gU4WNqA0S7SN0yFRCKlX0wQ146Kxym6WH6onPVZEvaXGpj06hr+mDfOU6cC8OU1Q1h+qIK5Q2LYV9JAhd6KTxff/7g+Afy+vYoluyoxYUUllzI6KYj9xTocTpGpfcOJDtASfQasGEp0Jj5cn0OgRsF/LklBLZcS7qsixEeFRiFHZ7SzaF9ZKyJTVGdi4Z7yVuP8tL+KPyekklPVyOaHJrYy0DxcpueaL3biPOG1tQoJFw2OalXMqzPaGPH8ahwi3DkhgXumpHn2NTY2MiLWh8tvvpv+CWHoGh3klOmprLcSEaDE10tk6Oy7sZYe5ZEdUp6Y3YcrRsYzONafoe24u3cFUqmUr776ql0yEBuiJqOpXsZXIyMutC2xt9ic5JSbyCoxUq23oZJLSIrQ0CvSi0CfMxN56Qj9+vUD3PUxgiB02Bl0Ir7++mtKSkoQBAG73d6p5tfp4o477mDGjBn/SK+sHiLTgzOCg5U6DlQ1ACBRaCitqeesV9ay7dGJaJRy6k12SupNWB0unjs3nT0FdVwxvGNDyI4wqh3/JblUQphv+ymTp89NZ/5vmThFGBzjy5wBUd16vW+3FvDTnlJuOyuRiWmdh2+j/NX0CvfhQHE9LsBPLad/tB8bjrpTKCfmyL1Vcl67cACL9pYwIyMCb5VbHE+rlOGrljNnYDQfbchDAM5ppyjzuPmkl9LdqXXdmASuHR3frQeuzeFiwitrsbrgtVU57Js/uU3B6JmEIAhtol5Gq4OcqkbuWriHgjp3ekgKZET7oVHIThoVKm8w88WWfBxOkcuGxtAv2o/+Mf4EaBVkPPlnq0m5pMHGvIV7+OzaZi2TUF8NV41yR+mGJwR2SdDRc66fkv6JXuzONrCpsIq9ZbUMjfdjbZY7IvnZVRLOOsl9czJsPFZNbrUBF/DTLnfqJDJQy/1TeuF0iWSW6Xl0ehrb8uqYPyut1bn7CmvbHfPWr3dTa7QxKT2UZ8/t6ynSrTZYsDlbF7YJwK0TkrhlXFKrbrHDZQ0c7wTfWaBrdU5cXBy33Xk3519yG8dKjfy6tRKZFHYsfpehGSksz+6H/4TrwGnHJZHyxJIjVDW6Sf0lQ2OIDtDgcLoorzcTFaDp0j0tCAKjR4/ucDIfmuJHvdHB8j01pERqGZDgg67RToXOSmW9leoGd51STLCagUlBxASrT9s+oztwuVz07t2bJ554gjvuuKNL54SEhBASEoIoilx++eVERkby+uuvn7FrMhgMXHzxxTz44IOMHTuWxMTT7+L8K9BDZHpwRlBjbLYckPkE4dRXo7c5+WxzPreflUKkv4bHZ6ZTbbBwpKKRb28aycO/HGDpoQrevnQgJquDCa+sRmdysuD6oYzspGagO7hsWDyXDeu+Quz+4lpu+nIPFU0FmXd8u4fMZ6Z3eo5SJuXKEXHsCq/DYneSGOxFcqg3H109pMNzhicGMjwxEIfTxUfrsnh7TS5RfkreuWIYKaHeHGiq+TnxQX6gpJ7f9pZisjnpE+nLBYOiUMml3V412p2uVurKRpsTv65loc4YtEoZUomA3dU8gTpxt0x3BQEaBQlBWowWJzePSyS0qZi6sNbYJrIAUG/uvOOiu3BKXBypric92I8thVUcLW92pf5+R/EpERlRFClrsPDM7wdYnunW4xGAQK0cu9NFo9VBeb2ZFZkVPPF7JgBXDYtE3kK0sLzezP1NXVEtMSDSm32lBkTgQHEDh0obGBznjoIMSwhkZt9Q9pXo6Rfpxaoj1fSO8CUuUNum5X3ewr2e/xfWNvLVtgLOHxBNTpmR6+57Bfxj+On3VXzz0XPEXvIsZRYYZahBpwvi4fPSWXqwCuTNUdTVRyuRSQT6R/sRHaDhrFfXUqSzkBSs5tYJKUxOD+1UnHLNmjXceOONrFmzpo1eDbgXElMHBpFVamTLER3HSt0dc95qKaF+SlIitCSEaVD/BamjrkAikfDtt9+eElkQBIEpU6Z4BPLOlLquUqlsU0D9T0QPkenBGUGQtvmBJPUOwmFwP3yPljewaG8p5wyIREDgtm/3IooiH1w2iJ92lyCKcKxSz5QmrQuAnXm1Z4zInCr+szoHvbm5k0Qh69rDzUspa6Vt0VWU1pt5fWUudhGO1VhZd7SKlFDvdh9GDWY7P+0qYf2xKnQmG9UGK5H+aiacwutqlTLum5TEB+tzmNongogOIlt/NWIDNczOiODzjXlYXTAiIaDLdhX/WbafzDID902K85AYgGh/DWMT/NiQV9/q+EdmpHEm4auW43Q5EQS3y3NCsDdWRz31JieTe4dSVK1n7GsbAfj8ygFMSO+8G05vsfPb3lL2FOk8JAbcRe7eKhm+agX7iup5e002G3OaC6a/2l7KFaOSSArxot5k4/KPt9GyF8pbKeXes1NYdrC5pdWFSI3Rwra8GgbG+KNRyHj7ssG4XCISiUB5g5k/D1eQFNLWLNhgbe44qzc72JRZh0knQRBgwuSZJEdoqSs9whffBFJc34hE5cULr//Hk2bLfOpsLv9kG0cq9EhFOFrRiACU6wy8vbqBIp0FgJxqM/f8sJ9gtcDK+ya1sUA4jrS0NGbOnEloaMd2C4Ig0CvKi5hgNVX1VoJ9FWhV//1p8Oeff2b27NmtCp+7i5Zt2HfffTfBwcE8+uijTV1UokfEtCs4ePAgSqWSlJQUfvzxx1O+pr8L//1vsAf/CvQN9aek3sjBqgZkPsE4KrN5YlYvft5Vym/73ERGJqVJ4E5ApZAyNjkIg8VB7An1AyMTuz8hn2m8fkEG9/+8n+m9wzlQbuDKEd0rPOwuNAoZgV4yKpo0d463mrYHg8WOwWp3pwHsIrWNFhpMXTfbPBG3T0rl9m4Unf4V8FbJuXZ0Ar3CfDDaHKSG+TAwxu+k5zmcLt7d4q4BeXlVAbdMTPeQP4lE4MsbR2F3urj9y238meVOfyhP0aqiI/QK8yagicir5AIPTu1F3yhfnC63EOPcDzZ7jp33/T72P9UxkbE5XHy7vYg9hTr8NbJWon4ApTozTtG94j5WYcCnZau1WvAUP2/IqiK3trlVWy7ADzePID7IC73Fgc5kx+Z0MiohkHkL92FxiKSHaflj3ngAT/TF3cnWNqIpiiKxQRryqoyoFBIifbRkhAUSHaLkrL5BnjbnxPBBHNv0B++tPcagGP9WtUIapZw7JqZwzRe7mscFnlhy7MSXA6DaLDLgmZUMjvHhgyuHtlFnDg8P58033wTg0KFDbNq0iZtvvrndsTRKabt1Mv8NZGdnc8kll/Dtt99ywQUXnJExU1JSaGhwp/qLi4vp3bs3y5YtY/To0eTk5BAZGdmuWB24v9sbb7yR8PBwfvnllzNyPX81eohMD7oFi9mIy+lA49V6tSyRSJjeK5ox8aFsqE5n5b4lXDY0FpVMRu9I97FR/lp+vHkkDpeLhGBvPr262ZNFCVgBOdA/5sz71XQHFrsTtUrBR1e52wfP/RteM9hbyYdXDmPF4XIi/DSc3aetr9VxBHkpifbXkB7uQ53RTmygFzGBp19M+t9GsLeScwZ0r2tDKhGID5CTX2end6iq3QiWXCphbFqkh8jMX3SYX28bc9rXa7I6OP+d9RyptjA5KYKkQDnzzkqiX7Qf4BZAc7lEgtTN13TF0M4J8dEKPQdLGogN1HCotKGNsYZMKqCQSXCJIsE+Smb2i+f3fSWYrA6uH5tMRFNEqk+kL4FaOQaznZkZEdw3pRcRfmoaTHZ6hflQb7JTqjOTFOqFpanQpbS+YxXmEyEIAuNTQqhtLEUmEZiSHIXZYWdyvyjkJ3Tn+WoUPDyjfX+rY5WNXX5NcBOdnUV67vp2F1/fOKrD45YsWcLChQu55pprUCrPnBDeX4Hk5GQOHTpESkr7LuengltvvdXzf5VKxeOPP+4Z/7HHHiM4OJi333673XMFQeDXX39FpfrvRGdPBT1Epgddhtmo554L+wIw8bzrOevc6wgIbl5dCoKAj0pJVEQMNpsNXV0tl5xgDCiRCNjt7tqMltokCeFeNBhtLLp9TKs8f4fXYnOy+kglRXUmogM0TEwLOSOtwsU6Iw/8eAClXMpbc/vje4qFr59vysNkd3Lr+KQu56ozov3IaJoEwV389+DPB9iaW8cVw6O5aXwyACq5lMtHxBLhp8ZgddA30pcBLc77/wRBEFhw7Qhu/nYvk9M7TimEeCk90Y344FNfidfpTewubmBSehh/HCznSLWFSB8N/cP92VVaS+6xem6e0DwhHSxtYOmR5kLYnFozF7y3ic+vGYZ3O51Rh0obsDqcVOstbM2ra7VPLoFe4b6E+6qICdQyLC6AcanBTO8bjig2WzBoFDISQrxZcfc4Gi0OogM0SCQCJToTX24toKjWTIPZTn5NI4V1Rm4YE8uuwnqemtX1DkKAe85OJUCrxNIooJBKOHdYeBsScxwmi43xr66lqtEdcRwV788n1wzrcnfYiShtsHS6/8EHH+S2225DqVRy7NgxLBaLpzPon4L169ezadMmHnjggTNKYk5ESEhIK3Xgxx9/nN27d7c5ThRFXn75ZS655JJ2a4z+yeghMj3oMuSKZoa+a81PrPv9C4aedR4X3fwUKnVzRMC/idwUFRW1ylcfKq3n7u/3UWe0cf2YBG4Z36xc+dW1wzCYHR06XGdXGlh8oAy7w8XEtBDya0z8uKuEBrMNH7Uck83B3G7qTrSHUp2ZSr0VmVSgptF6SkQmq0LPc0uPIAJ9In0Yl9LxBNsZDpbo+XVvKQ4XvL02j6tGJnhC9iHeKi4+yer+34rcKj2v/pnFA1NTiQ/2YVuejmq9hTVHqpjXQYpsfFoI7102gBKduV1V2K5i4PNrARiXFMgdk1LQKmSclx5Dmd7M+vwKhsa11iBSyVunsf7MrEIAFh8o5dJhcW3G/8+qbKoMVkK82953dhcopAIDY/y5bkxrLSRBcOu2/LirmPggLdeMiifQS+lJv7hcIr/vK6Ow1kRyiDeiKOKrlqEz2TDZRL64Zli3W+6VMgkpAb7kWE2cNzyMYN+Ofyvzvt/nITEAm/N17CmqY3RSEONTAll3zN1dJcftsfTw9F5M7hPB4r3FvLk6u9W5AC+f37/TaxMEAW9vd13Pyy+/zPr16zl8+DAKxV/XkdddVFVVsXTpUh555JG/5fUaGhoQRZH09HR6925LWo8dO8abb75JWlpaD5Hpwb8XMrmCQWNn4dCX8OvSFXzw0ce8++rzVJbkcuuTn6P19gMgIMRNZIqLixkyxN2x88WGbJ78w537FoCVmZXcMCaBIxV6rvlsB70jfFhw3fBWr2e0OqgxmKk3Objmi53UmdzdJgu25DM0PoA6oxWz3YnTJXK4VI84+PQr9YfEBTJvUgpqhfSkgmgdIdxHiZ9GjsMlkhLcPbO6lt0Gwd4KNAopBouTIC858nYE1wwWOwU1JlLCvFB2sSD5n4q86kZyqxvpH+1LsHfHNg6z396M0e5iQ3Yth5+eypxBUYiiyMikjvVHGi127vp2LzYR3vzzKNvnT+mSWvKJOG5iGhOgZHBcAA9MSKeqwcZvmUVcPSKax2f1bXV8Sqg3r56fzn0/uzuLRCAhSM203u2nDhUytwZRyw6ulthVoKNvpC8ul6tN8Wal3kJ5gwW5TILd5UIpab4fKvQWcqsbifBTozPZ2JxT4zHXzCrXM71vGIPjArp1D23Lq2VDVg1SiUCNydwpkcks07XZ9sHaHD67dhjPz8ngQEk9DpdIQpAXaeHNRe6Xjkjg0hFu0uZyiVQ3Wpu68+DnPSUU1ZkI9lIyOT20Q9Xqd955h/r6+jNKYr7++msOHTrEiy++CLjtBfr3749W23mK9/XXX6ewsJC33nqL888/n/Hjx/9tztx79uxh7ty5zJ8/n9tvv73N/tTUVMrLy9s585+PHiLTg25hyPhz+ODp65lzxQ0Mvfx+7nkrnfcevJ43HryQ25/+Cr+gMLx8AlAoVRQXFwPuaMpxEgPuh/meonrSH1/GtSNjMVjtHKtqmys/773NVBksJAV5eUgMgMkucrBUT5iPGhF323OYb/v1Ed2FVCIwu3/3PZZawkejZOdjk4Guq1MaLHb+syqbnGojt45PYEh8IBH+Gr67cQTb8+qY1jcUaTvmhKuOVLE1t4Zz+0cysptCeP8k/LSriPt+am4V9lNL2ffE1HaPjQ/ScqjcQFKQlkq9u65j7gkpzBOxPb8OWxM3MDrhQLGOke1oEp0MuS9Mx+pweXRXlFIpg+J9uf/cKe0eLwgCM/vH8MaqHEobbPgoJSy8aST+Xm3rNqr0Fm4el8TKI5UU1hqpNbZtE3eI8PGmAjZkV/HQtN6MTw323GMjEgORyyRE+anbEBK704XDJSKXSqgxWKltbJZLqLc4+fNQBSsOV3Lh4Gj6RHatRq2g1oRCKqXaaKG4zkxaeOvzimpNLD1YxoJNeVScEFEB2F+sY3N2DeN7hXhqezqDRCIQ6qPi3m938fMBt6+WQgIh3m79pZvGJbYbVVKpVISFhdHY2MiTTz7JSy+9hFTaPdJvMpn4448/GD9+PEFBQWRmZnqIZG1tLWPGjOHzzz/nqquuIjc3l9LSUkaPHo1EIuHIkSMEBwcTFBSEVqvFy8vL00UUHPz3dWdOmDCBBQsWMGaMuz5Mr9fj49N2oWUymf4nWq5b4syW7/fgX4+M4ZM57/aXOLDxD3555nrqRS1r168Hh5nXHriAqtJ8BEHAPyiMgoICAPJrjO2OZXPBz/vKeO6cPiy8flib/RG+KrwUMhptbR+CiAKT0kPpG+nLxLQQzht46umC47DYHTz80z7eWX20U6dtzyWIIlUGCzqjjdxKHee8tZ7cSvfKUxCETkmM3eHCaG2eqA6VNvDTnhK259Xwfgtvm/QIX64ZHU+gl4qyerNb2r8FkoK9SAj26rIFwT8Vb6zMavV3vbk9BRg3Ft85hgNPTObrG4bx5O+ZPPV7Jp9tymHGG+tYdqCs3XOSQ1tH12Kaumcq6s1c9vFWLvloK2W6kxe7CkJrh+ekcC35lWYq660dnqOSS/ngiqHcOj6B968YgpdCxuRXVzPsmeUUVrs1Z0RR5P31uXy8KY/aRivhvioUnTydsypN3Pb1TnbmNwveeavkTEgNaePvBBDqoyJQq6CqwYxUEPBXt57IfdRyzHYnekvXNXa8ZRK0chnlehNDY1un1IrrTHy8MZf/rMyiorH9MX00So+tg8Xm4GiFHnN7v/UTcJzEgPsZUtJg50BxHfk1RpwusY1C9nHs2bOH999/n3nz5mGxdF5jA7Bu3ToWL14MuIXhLrzwQjZudLfRP/fcczz//PMABAQEcOjQIc455xwAvvzySy688EIEQcBoNDJ48GA+/fRTAG666Saee+65vy0KcyKmTZuGl5cX1dXVpKam8tJLL7Xaf+mll3LJJZf8V67tdNATkelBtzFhykU4fCNZ/d59fPnAxdy0cT1bt2xm7NhxfPLCrTzyzjJiUwawYqXb4O7EugEAH6UEuwsCtUrOHRCFrJ2Q9hfXusnNs0sOc7SidcQmI9qXOycmYzDbWZdVzcZj1ZwzIPK00iuP/LSPX/a7H5JDE4IYGt95hGNrXi3fbS9CLpPw855SACa+sYXc56cz6bW11Bvt/Hb7CGKD3KueTUfKuHzBXsI1UN7UGXt+v1Beu3Qw/loFQV4KahptJARpeHvVMbbm19In3Idbz0pm7vsbyaq2oBTg2fP7csGgaARBoG+UL327qLfyT4ZWIYMWqid9Q5X8vq+UUYlBBDZZT9TozUx4bQ2XDopkW6GBQ2V60sK9GRIfwNNL3ETo9oV72ZcS3EY4LTHYm99uHcmarCqmpIfirZKRU2XgwZ/2sbvI7aq+/HA5147u2IerPfSO8aKo2sxv2yoZmOjDwETfdtVgW35P13y6jewa90Q69a0NfHTlEEYmBmG2ORFdbm2fq0fFkx7mw/LMCqr1Fizt8DqTA77ZVsiQ+MBWE2NmST07iuqY1CuUqCbCppJLSQjS8M22QqzOtiT9osHROFwisd3oflu0v4xBYWHozDbKGiz4eSk5XFLLtV/uJspbgUOQ0REfVcth7tBohie4xSCnvbWB/Fozkb5K1t5/FopOWuRHxvuwJV/faptEcKes7/h2NzqjjS+uG9bmWTB27FjOPvtsfv75Z5544glUKhU7duwgPDyc6OhoNmzYwC233MK2bdvw9vbm008/pbq6mlmzZhEaGkp5ebnHnLHl5y0IAunp6Z6/58+fzzXXXIMgCGi1WtauXUtGRkaXP9e/AwEBAbz11luMHTu21fbLLrvsH1VH1FX0RGR60G3IpRKmjRzN4+8swdsvmJmzZqNUKnG6XEQluovI+o+cQubhQxw7dgw/rZI5A5rTNRq5wF2TU9n+8ER+v310uySmJeZNTmFSWjAqmYBSKjAg2pfn5/R15+aNVj7YkMuH6/PYmV/X6TgnQ0tDP00XtEZ2FtRRVGciu9LQanujxU6xzkyD1cGuggbP9ssXuJVQy5vlPfj9oJs4pYZ6886lg3j/8kFY7HZeW5XNltw6PtpUwHWfbyer2j3xWUW4/6eD3PP93i6tXv9X8MYlA9A2LavifKUcrLRy53f7GPTcKkrqjLhcIoOfX4PBCh9uKeVwuR6nCLWNNmb0ba43EYDbvtnN1Z9vp97YWlunf4w/90xORSYVyHh6JZNe3+AhMQDB7aR7Tga1Usq5w0MZlOjLnlw9v22rpL6DCMRxtJxgzQ54dukR9pbUc/2YeK4cFcvtE5IZnxzMF1sKKNZZOlU43pZXx5db8imrN1HXaOWidzcw/Z3NPPn7EUa/vI7vt+UCbh+hp37PbJfEAFz04VZA7LIk/+vL93OozL248FGI9Ap3R4FmvLONSr2d3aVGKurbj8QCpIb5cuXweGRSCQ1mOwW17mhYaYOVusaOo1sAX14/ivkz0+gb6YNGBomBKvrFBJIY4oVCKkEplyI0OZKazWamT5/OypUrAfj111/JyckhKCgIu93OlClT+PLLLwEIDQ1l/PjxnmjNRx99xLJlyzyv21WHaalUSlxcnOfvoUOH/uNawKVSKRdddBFhYWGUlJR4tk+bNo2JEyf+F6/s1NATkenBKUEQBPz8g7l5/ie8NG82w4YNo7iokEvmvUV2dQM7xAgkciU//PgTjz36CPMmpZBZrqem0cbEXiGcPzAKny52BK08VIafWsavt45EKZcRE6BB1lQvEuSlJCFIi8nmIC7o9LRUHpjWm+93l2F1uMgsN9AnunPzutRQb/YV1aOQSYj2V7G7sI7Lh8fhq1Hw2Ix0CmsbPbooVkfrpenxVuDnz3Ov5ARBIDXMPRncuXBPq2P3FrdefQL8uq+c9ceq2DO//TqS/zX0jvDj4NPTsDlcfLo5n1f+bK6pWnKgnFFJwXjJBRrt7on4+ORerrdywQfbuGRwJNvyalFJBfYX1uGtVVJrtHL393tpMNmZlB7MnqJ6ArRKMsvbfp7gruk4FUgkAoOTfYkJVrH6QC2/bK0gMVrB2NSQdlMIb106kCs+2Uxto53xqSHk15qRiDDp9Q0ATE/zo2/kEJreqsfPqD1UNtp4YvERnlh8pN39D/52lNkDY/l1T6lnPABflZyxcWHE+WspbjCRV2dgc3YtCcFt01LHoTfbqDJYSQjy4j/rSugX5o60KpWydlVjDeb2iXagVs61o+Px1bijZv4aBWOSA9mcU8uQeH8kUoG1RysJ9VGRFt7WVVsmlTB3SAwh3ipK680EeikYnxqCl1LGGxcPoLS0lK+//IJrr70WtVpNcHAwNlszqT1e/yGTydi7dy8BAe7feWpqKu+++67nuI4E4/5NKCwsJC0tjc8//5y5c+dy3XXXUVtby2+//dYtJeD/NnqITA9OC4Gh0dzw6If855FLiU5IJy61Pz8fKqTeKUGdMIhvvv+Rxx59hJhALYvvGIPJ6sRLJevyyq/eaOOeHw8hArWNdj6/tnUtjZ9GwZsXD8Aliq1qF04FEonA+QMj+Hl3GT/uKuKs9DCCOlmlT04PIyHYC5lEQG+2E3mwgql93ZGnq0e1VkOt0rdeZa64e2y7tQwA0X5qqgwt7BGktJta0HdSR/K/CIlEgkohYUxSUCsiMyoxiHqzjf6xAWzKad8E8cddpbScNscmexPhp2Frbg0OJxyrasTSRCa9FBJUErC44NrhkVSbnCikUq44TfXmED8lMwaH8NXaUhZsLEalkDGsHQNKpVzKD7e0Dulf9N5Gz///OFLPcyIMj9GyrajjqAaAUiohIzyAEC8VWoUMrVyGWi7D4nBSb7ahs9jYlVNPo8lFRpg//holgWolCQHemOwODlfWE+mrZVpKJHodHC4y0Dum7X2pM1oY+txq7C4YHOtLsBr6hflToGtkWj/3PS+KIpNSAlnV1EptanF7BmjkeKtlpIZ6c/WoeEYmNqdtJRKBBdcOw2h18O6aHGa8tRGDxY5MKqFvhC+vX5xBuG/rGjCtUsbMjLZF+YIgsGHDBubNm8fs2bMJCgpiwYIF7X52giC0ipz8f0RMTAwffvghM2fOBOC8885DKpX+T5EY6CEyPTgDSO4zlJuf+BS9roasw7uxVemRmpxEDp7K0W/ms2DBAmSpY/l8cyGPz0hjXK/WuiqXfbyNbXm1XD4smqfObRat0jVaWH642RcmNaz9dujO8uktsTKznJeWZTFvYhIz+7fvgv3ojN4opFIMVgc+7Xiw7Miv5b21OcwZGM3s/hGktCAj/WPa1gIdR7C3kjCtlAqjkwClQKR/x6u9ly7M4JIPN1FtdOGjgIuGxvLJpsJWxyil8NW1QzsY4X8b/aL9+fa6oSzaV8q5A6LoG+1HZpme+k5sGE5c+5fUm1ErpFw7Op6SejOHS/WUNVhIC/dmcKw/D01LO+WHdZXBwvc7ignzVXH+wMhW4/hoZNRaTPQPD0QuEdoIP3aEGH8VO1qkuWobLZ2SGK1cxtDoIPqHByCVCJTrzTTa7NSZbJjtDlQyKf5qJalB3hzIb0QqkTIlJZIGiw2d2cb6/Ar2lNXiaGrzVsukTE0NR3pYQG9yMDzVr1UkpKDGhL0pCra3qIFtD03i5y2VJEUomJThTrlkVxnYVti2zVoCPH1OHxJDvIgJ0KA9oe19X1Edyw9VopDCF1vzMXtCUU52FNTxwI8H+Or64W3G7Qjnn38+s2bN8ujI9KBjCILAFVdc4fl79uzZ/8WrOXX0EJkenBEc3beJVT9/1GpbUFg0AFdffTX95i/FYBV5ZumRNkTmUGk9ThE2Zjevtkc9s5Qmc1oC1BLmDo3jwWltzf4q6s2MeHENIvDx5RlM7tM+QQH4fkcJepOV73eVdEhkBEHggWlpHCpp4OFfDjI7I4JxLcwYsyoaqW60caS8oVtt2iq5lHUPTaZEZyLST4Na0XH0KCnEm62PTKHOZMNPLUcAimrNrDhShQS3weL7VwykV9jJi3ztThcuUfxLNGZyqgzkVRvpG+lLeBfaZ7uDkcnBjExubk1NC/cmuB2RuI7w6HR3yu6Bae5/C2uMlOjM9Iv27dRBuSso1Zn5dlsB5QYbH67PYdW9E1rtv2d6MgvWlPDaslwKG+pZe//EdsnMB2uz+G5XGb/eOpJn5gygqnELRypMvHFRf7fC3QnoHazgcLUNlUzKFQMSUcml7C6rZXdpLcZ26qUyIrSY8OaP7RVoFTJMdieuE7rxovzU3Ht2Cvk1Rq4eFUdptY3NR3ToTQ7Oygj0XHffKD/POU4RjhQb0SilTOjb/FuWSyRIJceVdiAtTMPk9HCGxQUyMjmo3TTb0fJ6zn1va4eftVOE/SX1FNYYiT1J6njr1q3cd999/P777wQGto2E9eDfix4i04MzgrAot/X8wkXLWJfTQC8/kSPb1/LRR25yc3acklXFTq4Z1Vbv47Orh/DO2lyent1c+V/aYjE6LjWMK0bEtfu6i/aXevxoHv71MBmxQYR4ty+M9ebFGXy1tYDL2lHENVodbM+r5VilgQAvJUv3l7Etv47cSkMrIjN3cBSxgWoGdBJ96QgqubRdF+H2IJNKWr2PD68cTJXegsnuJNxHhaoLdgy78uq44CP3JPHcuelcNryt+d+pYmN2Nc8tzaTBbCfUR8VL52d4anz+CgiCwLQ+EazNaj+1dBxT0kN4+tw+hPq0JlaxQdpOJ0KL3cmh0noOlurxVkoZEBtAQpC23cm3d4QvBqs7b5JfY/I4RXsggf3lOvqG+rO5sAqd0daqkPw4XvwzB4BLP9rKsrvH8+UNzekmu91BtBcUt2jWO1xtQwDOTY9BIZXw+a5sGqwdFxbvLzNisrkQgUabA6UAL12UwZdbCzBYHQyPD2Le5ORW5osBWiXeaimr9teyeHsVEaEyAr2UrdKgMb5ajpUZyYj3bpUi1hmt9Iv0JavCQIiPkmfP7Uf/kxh/7i5s6HQ/gN0pUme0nZTIAKSnp//jCmt78Nejh8j04IwgNWMkAHs2reH9l15yTwDXXsy7775LaWkpMTExHjfgEzEoLpDPr2m9gpo3IZ431+YjAK9dlNFuGqBE10h1fXOBZo3RweM/7uGDa0YgCAL1jVY+3pTPeQMiSQr1xkul4JYJbT1N1h0t5+ov9rTZDrCvVE/cQ0vZP38yvhoFCrmUsSl/nzv37vwqbvhqN49OTeP8oXHdOvf1Vc3aLG+tPnZGicyygxXUNtqI8FNTVm9hZWbFX0pkAGb3j2BbXh0rD5VicRyX/xcx2JqjDEMTAtuQmJPBZHPw8rIjfLe9CEtT+iTcR8ETs/owtW9bBV6FTMIj03vxxupszk4LbU1iAK1CSpCXFJVcSka4VxuX5uPwVkowWF0e24mWGPfSasra8VPsG+ZPjJ+W7/bnd0pijiO7xszQWB9MVidfXDuMIB815w6MYnehjqJaI7J2fldxoRrOGSbj563l5FUZya3Tc86gcHY/PIGfdlUg2GWE+inJiHfLCphtTvYU1XHZJzs8Y/x++2jCuhClm9I7lEd/O9TpMYFaRYdp5ZYYMWIEI0aMANzRmWHDhv3P1Xr04NTQQ2R6cEYQFBbDBTc8ziuvPMO2bdt55pmn6T1gKOuzqzknI8otDmWzo5JJUXahKHfelHTmTUnv9JjRL61vs23VMR2i6I7MP/PHUf44WM6mnGoW3d7W7fhwaQOrj1bx3ppjbfadiG+2FnDjuETsThF1U47fbHVw2ze7SQ7z4eHp7rTXtrwa+kb4oj3N9MVxXPjhTlzAvb8c7jaRuXVcPFuajAev76Y+ysngp5YhCAJ1RhtSCfip/3rtCZVcxksX9OP8QZHojHaSQ72QSSV8sTmP4joLKSEa+kV2zxICYGNWNV9vK2rVHVSut/HisiP0j/EnzLdtNOXS4XFcOjzObY9R1oDB4iDIS0FisBeCIHDZiHg2Zer45fYx2J0uGq0ufNVyCmsa+XlPKYNj/bljYgq/7CllQmpbL666Fh0/Yd5SKgzOpv+rqTFaKWrovAg4IVBFXq27jTgt0o9xySH4aZU0mOyU6Ex8v7OI2kYrYb5qRiS2TcME+yrI1ddjbBSJ9/emoMxGUXkNoigjNUrLmN7u2pwGs51312az4lBFq/P3FdcztQtEJshbxaEnzya70kBZvZF7fziAzXk8OeWur7liRBwaZdd/T3l5eYwaNYqFCxcyd+7cLp/Xg/9d9BCZHpwxTDzvekIi41ny9euMHz8e74T+eI28jBWTxzF3aAwP/LifCD81P90yqssFup1BLnEb6QVqpNQ2tUgEecs9K+SJvYLZnlfDuJS2MuDZlQZuWLCDMn3HBaQtkR7py4z/bKLeYmPFvHH4ahSU1pvJrTVS26RX8sOuIt5Zk0NSsDefXTPktN8fQK8wLZkVRvxV3f+8RqeGceTpqbhEsU2B5enimtHxlOst5FUbGRDjx/lnQFm5K5BLJYw6wVrg8Zl9KK83Me7V9Xy0qZBxSX4suH5Ul8dcnlnRbotzsc5MdqWhXSID4HSJ/LS7hM835VKis9ArzIsbxyUxOT0UhVyC2HTMU4sPU2Ow8tC0NKa+sd7TBv3TTcO5dGhMu9/NoltHMu3tLQhAlaG5/SdYq6LaeHJVWsHVfM6CLUUs2FLE+QMjUMqkFNS6FXADtUoi/Nq+N4fTxaO/7OP3feUgwLiUYB4f05v6RhdKuYTkCI0n5Xa4tIHvdxTRcEJb3R3f7WFvStf8rBotdq7+fDsNFhcSIMBLQb3JhsPlJjSjk7pX75KQkMCmTZs8Pm/t+VL14N+FHiLTgzOKvkMn0mfIWezf+icLPnqB8q/vZ+WhUQTdci8mm4qKBgs2pwuFTMK+wjo+3JjHK3P64qXpOK8tiiK51Y04XZAc4uUhKgefmkJOVSNp4b7kVdbz+4EKbh6X6Dlver8IpvdrXZD7wbpjxAd6U26wdonEaOVw96QkxvcK5Z012VidUuRNr58U6s0z5/Ql2t89GfSL8iVAq2BoQvfrZzrCH/PGd7nzpT10VlR8Ogj2VvHG3AFt60P+C1DIJHy1vbmr61iVqZX55skg0rFQS2f7sioMfLEpj6OV7ujIrqIGvHYU0ifS10PULXYXSqmEWpOFXQU1rbRcSurNDI5vf5L291HTL8qXAyUNtNTD81HKKTlJNMZXJSFX1zbtlFPVyP6S5s6oKD8V67KqOH9QNNqm+8ThdLE1t4bvdzebB+rNVia8uo7xvQL5+KphrT5XqURoujdbExm70+0d5dUF49Vf95XS0JTTcwFPz0pj3g/7PftLdEZ6R/qddJyWGDnSnepesWIFDz30ECtXruwpAP4Xo4fI9OCMQxAE+o+cSu8hE9mydjHrf3mX52+aQ/9RE7n1/kc8q7R5P+yjwWjj2aVHePHC/h2Otzmnhlu+2YPT5eKV8/sxI8O9+lfJZfRpesAlh/tzb3jnBOJwWT1vrsxGIZfx3Hl9Oz1WJnEL1oX7abl+XCoAP906us1xY1tEe3qF+fLbbW2POV2cKon5O2CwOli8r5SyBgsjEgIZ3UF3yl+J8gYz645We/7Wm2ws3lfKrP6RXbqWSWlhLN5bzomqPBG+ShI7Kc42WOyUnODPdKi4no3ZNQRp3cT8xaVHWLK/GL0D9hQepn+kln2lRgLVEsYmt40UOpwu6s12vBQyEoK17C9pXQxbZ7YSrG2OomgVEhxOkdRQLQeaimoWXDOM11ZksjG3+dyHp6bw8ab8VmOV1Ft44vdMnvg907NNDnirmsmvj0rKtgI3+Vl1tJaKBgv+WoVHsykj2o8LBkXzwYY8TsSziw/y6TXDT/odpIc3pwN9VFL6x7nTVjSpEPuqT714NyEhgUGDBv3PmSD2oHvoITI9+Msgl8sZd/Ycxkw8h53rF7Fs4Vtcc+5EFs85n6effopbJyTy6cYCbp2Q1Ok4x2sQALbl13qITHeRGKQlNlBLhJ+aaX3alxuXApH+apJDNIhIuGnsmSuQ/bfB5RL5z+pjfLqpAIAFG3P59LrhDG9HBO6vxPc7Csmpbo5SGB3wxO+HGRgXQJT/ySew8akhzB0SxU+7SjwO2cFecu6fmkZEB2klgEAvJWkR3uwoqPdsqzE5eG15Jgq5jGnJMVQ3ONG36Iye2juCW8/yZlteLe+uzWZMSggjE4NQyCToLXbeXJHF+mPVhPqq2hWNzKtrZGJiOLN6RbP4aDGpYd4EeSkpqjM1XbeC/rEBfHWDm1C7XCKCAH8crMDlOrkRqh2oszhJDtYQ7K3CRyVlRWY1LtxO07P/s4Eak4NgrZw7JyUzd2gsZ/UK4ZONeW3Sc2uO1bElp5pRyZ0Xx5fXu1NlUuDlC/oS4avhmlEJ/Ly7hCHxAQyJcyvvmm1ODFY7gVolt327i535dXx7/TBSw/06HDspKYmPP/4YAKvV2tPR9C9FD5HpwV+G1b99SnB4LH2HTmTYWXMYPG4221f/zPLv3qZv377ccMMNLHrrLVSqjicLcE80P+8uwepwMWdg9Clfj0oh5897xnv+fuHcdN5Zk0tauBermtp61UoJz57Xl8Fx/mi60OL8d2DZwRIWbi/h9Yv6EeTzz1lZGm3ulnXP307ILGv4W4mMKIpsOFbdZnu92UF5g6VLRMZLKePxWX2Y0S+CvcX1eKtkDE8IIiXUq9NoQmKwlhvGJuKlLGJdVrUnBVRldAAOihuMxPg1twxrZVCoM/HKimxP9OfzzYVMSg/hujFxPP37IQ43GXHl1pgI91WikgvNAnHAzpIaAtQK0kP8ANhT5I66LL1tJLuLG5jWt3Xh8PG0X1KIF4PjAliRWdW8T4D2uI1CChqFlAMFdTQ2val5ExPJLNOz4kh103u089iiTEJ91cQGaukf7cuuorat1IW1JlSKOvpF+XUYWXxtlbvY3gmU6tyk5oGpvXhgai9qGq18ta2AinoLP+wqpM7sYnp6CAdK6jGYHezIr+2UyBzHsWPHGD9+PL/88gvDh3ddXK8H/xv4Zzype/CvQ3lRNj999DQAyb2HcO61D5OQNoiRZ89l6ITz2LT8W7747AV27drNzz//1KlUeGqYD7/cNhqXKOJzhrqBAC4ZHs8lw+NptNi587u9HCnXc9v4pFbpou7C6XSxKaeGMF8VqWFd76DJqtCjlEuIC2xbU3DrN/sRgfM/2Mb6B8465Ws701DLpcQGajlU1myaGXGGhfFOBkEQiA30Ys8JflRyKV0qND0OtULKqORgRiUHU9NowV+tOGlKRBAEJqWF0ifSlz8PlfH0kqOtiEFxvZH+4QGoZVLMDicJod4s3FnaagwXsCKzqhXBOA6nS6RXqDd7W9S1CECIl5oSfWtfqFA/NVdGt06tLtpbzN3fHyDST8mGBydy3oAojFYHB0r1eCmkKGVSvJQCJruLS4dEE+SjJjFYiwjsLtDxclmzf9OsjEiMVhfQmjTmVxuZkBrC+F6hVBmsFDUREV+lhF7h3jzy22EA3prbj3MGtL8ISQjUUm2wIRUgPaK1yONnG3J4b0NBq21/ZFax6NYR1JttjEvtmpFjYmIiV155JTExp2dD0YN/JnqITA/+EuxY+xs+Pr589dWXPPbY47xy7xz6j5zCOVc/SFhUIuNnXU1i+mA+fv4WBg4cxHffLeTss8/ucLzuTErHIYoiaY/9gcUJlw+N4tk5Ge2PrZLz6VVDcImc1ANKFEUuen8TOdVGlt81hlC/1iJdv+4t5eU/j+KjkvPdTSM69Wo6jo3Hqrnxq11IJQKL7xhFfFDrugxvlRS9xUlGC3XVfwJkUgkPTu2FSi6hVGdmcnooE3r9fRo7x3HFiFjWZVWha9GyfNmwWJJCTl5oeiLeWJHF++tySI/sWr2TIAiE+6q5elQi/loVd3+3zxOZOd4iHe2n5ViNnmMVho4HOgFKCUzsFUpZvZmkYA251SZEYFRsCBHear47kI+vUkKD1cX45ACC2hGB3JhdgwuoMtgQBIGpfcIQRRHn1kL8NQqsDifnDohkdv+2qdqL39uCuYmUPTIlgcQQb+6enMzuwloPaZQAA2P9kUklXDE8jih/DfuL6/FWSRkaH8iHa7M9423JreWHXcVIEHjpwgwi/JojZc+d25cPNuZydloII1p4MAHk1LQtbJYA4X4aMmI6N3VtCalUyosvvgjAkSNHqKysZPz48V0+vwf/bPQQmR6ccYiiyO71i7jwwguYPXs2M2fO5JtvvuGRRx/jmVsmM2H2Ncy+4j6iE/vw4JuL+fyVO5k1axa7du2ib9/Oi3C7A53R5jFb/H5XCYPigxgaH0BkO1EDQRCQdqFGtbzews4mT5x53+9j4U2t23xlUgkCAlKJ0J7KPGKTRHzL1X6DxY5LFBFdYLa62pyz/4kpNFoceKtbR6PsThcVDRY0CmmHomt/NWICtbx6Yf9OSeCve0rYXajjoam98FKfuYjacQyI8efL64axeH8ZlXoLE1KDmZgedkpF0haHAxFwOLtvyBkXqKV3hBc51SZSQrToGt1jOFwisQEqCutO3jYtF+C6MfGMSg4mJkDDbd/spkRnQQQSArwZHRfK+vwKCuuNhPkoObtPEHdNaivyCPDyBRn0ifBiUro7aiEIAmelhVLdaONouZ5wPx9GJrmJg9XhRCoIHsFKU4vb8MYJbo0kjVLODzePYnNODf/H3lnHyVHYb/iZdbs9d5dc7nLJxd09BA0uBQq0uFMoxVpK0VKKFyjSYsVdo8Tdk0vO3W3dd+b3x17ucrlLcpYE+N3zaT50d2dm52Z3Z77zlfcta3aQGx/crtwbrFNyzuh4zmlze39hRQF1toBRqkKAqhYn60sCPkzPrSjkyfM6bioe+HIfebVmGq1uFgzvPGX4u+mBkpbd7WNKaigOn8S1M9K7VUruKS+99BKrVq1iz549yOUnZqpvkJPLYCAzyIBTkreNxrrKdjMymUzG5ZdfzgUXXMBzzz3Hn//8Z/ZtWcFvbv87GTnjue6B13jy9jO57DeXs3XL5gFpyGu1e/jPhjKClWD2QrBGznsby9hZ0coVk5N7bBVwJJFGNSoBPBL8flrXRuCzR8URF6IlMkhFuL7r33HeyxuoMTn44NqJ/Gt1KburTDxzwUieOn8kQWo5w+KDqWi2IwHJ4YFsjyAIXYIYl9fPW+tK+HBrBfEhWu5YkMW4lJ7foR6LFruHpfvrqLe4SAnXMz8n+pj9QscLAt9cX0aL3c3EtDDO7GOj9rEQBIERCSHkxAVT1GhjU3ETUx9fTqhOxcc3TCGqF0q/9542jIvGJ5N4DFPPo5GbEMxTF4ym3uIiKUzH3mI7Lq+fjEglS/OPn41RyeDrW2e0KySvL2rE5vLh8gWiiukpUZS12thYESjviG0j5qqjBGwymYzfThvS6TmNUs4Vk5Oxe/xolXLkMoE1BQ28u7GMML2GxbkxvL2hnDmZYWwpbeH3MzpbiijksvbvZW6CsdvyW2WzjX8uK2zPTGlVckL1Hd/faGPH76KyxUGjzYXT46eyxcGuShMjE4LbtzshNZwvb56OT5SIClIPyETc888/T11dHXK5nIaGBhobG8nJyen3dgc5dQwGMoMMOJtXfUF8QiLTp3dW09VoNPzxj3/k7LPP5qqrruaZey5g1pm/5ezf3sOVd/2Tp+44hz//+c/tKeD+sLqgka1lLdjbqg1NDj9NFSbcPj+hOhW3zjUct4zUHUq5jPzHFiNJdKufIggCE1KPHlDUWZw4vH7qbB6KG+3YXD4qW52c3Zbez6sxc9N7OwCJly4b26Vn4BD7qs08u6wAtwhlLS7itlYwKjGkWwuI3uDxiby3qYyvd9fQancTG6LF5vZx2aSuHlk95cZZaWwrNzH3BJedfspv4OGv91PeEhiJtrhdvL+lgtvnDe3xNgRBIK0H2idHWzc71kh2rJGqJhe1rW7qHBaW5rccc73kMA2T0iL4zaSUTjYPJY12LK6OcpmAQIvT3f7Y7fZgcnhZdqCeyyb2/PMRBKG9VGt2eHl5RQGb2jyPtpQ2UdIcOH6XT0ritvnDO627rbSZ81/dBEBSqJI1f+xcDvaLEt/vq0ejkuH0BEIZpVzGxROTmZgWyP6cNzZg2NpgdfHGuhLkgFoBot/Lm+tKuHpaGqMSQ9q3OdDZRplMRlxcIPNz//3388MPP7BhwwYSE/s+SDDIqWUwkBlkQPF5Pexc+w0333T9UdU0s7KyWLduLc8//zz33X8/5QW7uPWx9znt4lt4+umnueuuu4iM7HvDrdvnZ0dFK+VNji4joUUNNlIibFS1OtrvLHuLIHRfNuoJH143mUarizHJ4bx0mZ6VBxp4e2M5Oyta+eNp2dhcPpzeQEni8IvYkUh0njjxS8eSbusZflHi0x0VfLu7htImO14R7B47+2rMuLz+du2QnuD1+lhV0MjUtAhOGxHHaSN67hTeV/bXWqg+QtdlxFECwROJ1y+yKb+VSKOSpcVdgxgBCNcITBoSzekjYpmdHd3tsZULAh5/R43HK4ooD/tNmT0QpFawp8rMwhw3EQY120oa+cvXedwwO53TcwMBgyRJePxitw7oggyUio4v8+GBsE8U2VPZwrC4jgB5+YH69tcruhHda7S6OVBrJsagxuMXiTRq0ChkJIbqmHaEIvPOChN5NRYKGgONyzaPF4WshfVFxk6BzInkmWee4ZlnnkGhGLwU/pIZ/PQGGVD2b1+NzWrisssuO+ZycrmcO+64g+nTpzNz1ixef/xGLrv1Sb5575988803XHXVVX3eB69fwusT8Yld+03cfonKFjtuX9fXTgaJYXoSwwIBVLRRi1Iho8rkxCdKiBKMTw3j0XNGICIx8RiZnWGxRm6ancF7m8uJD1Zz/pjEfgvnfby1gj99vr/9sQzQqWToVYpeb3v+P1dT1uIiWKtg958X9mu/ekpufDCpEXo8Pj+nj4xjwbAYRvXBpbw/ON0+PttYT6vdy5qKWv550SgWP7cWuy9QOrp+VjoXT0jq1Ox6NOJCtajkgbKdXwqI5SmOyALWWhy4vRIVzQ4iDGrOfy1g3HjT+7uZPTQGnVrB1W9tZl+1hVcuH8fYI8qPRo2SM0clsLbYFLBDMAcCQQXwvy1V/G9LFQB6lcDdC7O4bGIyr6wJCOudPzLQeyOKEtvKWihtdqCUC+ytaqWkrR8oVKckNtLQ7ffH5PDgPqIXqd7ipqLJ3itl5r6yc+dOYmNjiYnp2eTTID9fBgOZQQaU/N0bSE5JZZ93F2oAAMDBSURBVPjw4cdfGBg3bhyff/YZp59+Oj9+9BIZw8bx+edf9CuQ0SnlRAdrCNYqabB1tiFQK2REGDREnqLm2CM5fXgsflEiMzqovdQ1d1hXE8Ej0asV3DAngzNHx6NXKY7qB9QbdleZOj0emRBMapSeM0bG9boM12QL3K3b3UfPKg00MzIjefWKcUhAarget8/Ppa9toNnm5Y3fjiMhrG8ZuJ7w8bYKPtpSxcyUWHx++GRvKWa3h2qzh/1/O71X27K4vDjcflLC9SSF6ylvstPq9AUyMkcEBHurrfj8Il/vqWZMcuegzeXzoVMraHF48fglWu1uukMQAtuUALs3EOCrFeA77KOzeyT+8vUB9labKHvi9PZAQ5Ik7v1kNx/t6BgrDz3MP9QrioxNDiWmm+bc+BAdQUeYQVq98OH2Ks4YGcv0E+wyf+ONNxIbG8tnn312Qt9nkBPPYCAzyIBSnr+TaVOn9GqdBQsW8PDDD/OXh//K/POvZ+lnr2K329Hr+3bhkckEpmVEUNRgw+XzU9029RGqUzAi3shpubGE6k+8W3NP0KoVXDS+b9oWaoWc9D70c+RVt3LpaxuYlhHBi5dPxOzw8FNBIxeMS+DrnVU4fAF/qelDo4k2qokN7n3j6wuXjOLJH/O5YnJKt6/f88kuGq1u/nXZWDQDJDx4ZH/L8gP1bGiblHlmWQHPXDR6QN6nO37Kb2R4ZDgur8jHe0podXmYkRFBTpwRh8eHz+vnr9/kcdWMZHJij55pc/v8jH9kKW4/DInUIggCWbFGtpe14PVLGNSdy0N2tw+1QoazLQC5cWYq/1lfzsLhUYS1WRl8cO1kGqxuksK6zwKdOTKWVXl1yGUyFo+MpazFTqxBze0f7+2y7Oc7avnzGR6sbj9BGgX7qkydghiAVg+Ea+H0kYksHB7H+JSwbvvJRieFMCktApPdw77azs3QN7+/g91/WXTU4zQQfPvtt5hMphP6HoOcHAYDmUEGDK/HRUXRPu646eper3v55Zdz//33A+B2uVi6dClLlizp876MTQ7F7PQSpFHQaHMjiRCiVTA2JYzTR8T2ebu/Bs54YQMi8M3+Ju6st/LjgQY+217JrKwodj58Gj6/1G+zydnZMczO7j5lL0kSuyvNeHwijTYPiWEn5jQ0Is6ITinD4xOZnRVx/BX6wYUjkzlQaafMasIliuiUcpbnNzHyr8sA0CnB4YXlBxvYdYxSmySBu63aUtgYKPOEWD3I5QJNDhcZ4ZHIBQF/2xi/KEFWrJGrpgQm6O45bRj3nDas0za1KgXJ4Uc/xhqlgpevGM+bawq54b2dhGnlbHtwAUNjgznt+XWdlhWBkX9dRnK4Do1STqyx+8ymxQV/PSf36AeMQFbxqqkpNNtdXQIZs8tPeaON5D42XveEsLAwwsIGZtJvkFPLz9eNbpBfHJXF+/H5vEyePLnX64ZGxTJ8zESKD+4iIXUoX3zxRY/Wa7a6eOWnIpzuzo2HgiAwNzuaexZmcf2MdK6dkcadC7O4ZEJSr5pW31pfwj2f7KbJ2n1a/lh4/SKSJFFtcrKzopXSttr/ieCGt7eQcu+3PL8077jLHq6dFqxTMCoxmOQIPWOTw1DKZb0OYiRJ4uVVhVz79lZqWh3HXV4QBP550SgePXcEiUfJEgwEKZFBbLpvLpvun8eZI/s/kSKKEusKG/n7DwepN7uwu/zkVdr4fnsjBysdjE0P5s5FQ/nbOcO7ZMoc3oCeypDjiPRplHImH+GebnP78PqhqNmCWiEnMURPeoQOhUwgKVRDbauDC/61nibL8XVqjsWbGwMO4i1OP/62ACk+qGsAJAEOtxe728uuqtZut3Vmbs9uFvRqBeePTaS7wuXnu2p6uuvHRRRF6urqANi/fz8pKSl88sknA7b93u2LRIvVQ1m9o/1feYOz/V9Fo5PKRif1Jjd2l/+EnTN+TQxmZAYZMEoO7ECj1ZKbe+w7sSORJIl7P91FXcQompa/zsT5F/HVV1/j8/mOO01w6wc7ya+3Utxg5YnzRiIIsKuyhevf3sFNczK4cmoa4/R9u+vyeP28ua4Mq8vHyISQHo8glzfZOOuldZidHY2MShkkhmm5Z1E2i4YPbEbIL0p8nxfQFnlmZSkr8pvZX2MhIVTDJzdM7aL6+vtp6Ty9vBgAg0bF5HRtF0XV3uDxi3y3t45mm5tNpS2c2wN/o6ONlQ80Rm3nEuLyvDqWH2jghlnpvZpaq2p18NAX+9hbY2Z0bDjfbWvE7ZEQgJhQNZOzQhieHIRMJnDmyHiMGgW/fWtb+yRZapiWxHA9IxKCj9vImhUdxMaSjgAhOVRDWqSRZQcbMLs8DAkPoqC5lecvHsW0IRGM+esyfBJc8PI6Vtwzt9syTk/43+8mcc7LG1gyMrq9F2fVH+fzyk8FPNP2fTlEg80LeDky5s2I1PH4ubmMT+2531ZOXDAPnj6UJ77PxyNCmFbBtCERXDbp2CXXIX/6Fq8Eex6ah1F37J63Sy65BK/Xy2effcbQoUO5+uqrmTPn5Nh9WBw+alpcNJo9NFk8NFu8+Hpg4HkImQA6jRyDRoFBIydYryAhXENUiLpPEhK/RgYDmUEGjNKDOxk3dhxKZe/UW32ixIFaG5oh02DZv/H4/JhMraxdu5bZs2cfc92zR8Xz+tpSsmKMjHt0GWqFnDpLIHvy568PcOXUtC7ruLx+Hvh8Jy12L89cNJYQXff9MiqlnPPHJnCg1sLsrO7HwffXmHl+eT6hOhW3zx9KTLCW2z7Y1SmIAfCKUNLk5N9rShifEtYnbQxJkthS2sLWslZUCoFwnYK7P9mHXAZpITJKTCIhGthdHVAeLmtxceYLa9l43/xO28lJCEUhC9g+HDkF0xfUCjm3zMlgX7WZedkn36KgN7yyuoSiBishOiX3npbd4/WW5dWzt9qMQalkdEw4EUEqhsYbkCskgvUKIgwa7G4fggA6lYKZQ6PZ/uB8JEniq901/JTfiMfnJzM66LjTODfNzaSixc7WMhNxIRoeP3ckOfHBZD7wPYVNFoZEGFlZVMuctrFttQJ8Xqg0u/nPhlJkMoHThscS3U2Dra/NCyxMryL3CMuLxHAD2x/srAujUsi4dV5Wl0DmEJ62r7lCBvcszOLamek9PqaHc/X0DK6alo7b6+9xz9QhL02vv/ugoLKyErVaTVRUFNddd127iq9CoeChhx7q0372Br9fYnuxmV0lFkQJQvQKIoNVpMXoiDSqCDEoEaA92JUkkJBo+x9uj4jN5cPm8mN3+dv/f2WTi+1FFpRygfhwDQkRGpIitRh1/38v5/9///JBBpyqkn385uLzer2eUi7j9nmZPL9CQBg2FkdTFWGRsXzxxRfHDWQuHJ/EheOT+PsPBzA5fAj4MKrkWDx+lEcpnH6xo4JPdgT0MO76cAdvXHV0N9yjyb9DICC68Z0tlLcGJqP2VJlJiwxiwbAodleZu9V1MTm97ToxoighCJ3tCr7ZXcOLK4u4aEIiV00N9D24vT5G/uVHXH5YkB2JXxKQgKpmOyIgijA2PZYzgrW8sb4E6Bgtb7R2ntoCmJ0Vzf6HF6GQCcj7ObJ9iIXDY1k4wJmmE8ElE5L4enc16RF6nB4f2h5eNIfGGAjVqxgfG4kkSCweF0Wz1cXiF9aiVSh447djufDVTcgE+Orm6SSE6VDI4OmlBQyNCiLSoMKgUR5TLPEQEQY1/75yInaPD61S3q7hEqpVUNRiZVxCBLFGDWJbyeHVy8fy9x8PMiwuhMe+PdB2EfRx3awhXbb9xvpSXllVhEYp5y9n5jA7OxqV4vjfgUvGJ/C/rVXdvpYdY2BkYijnjImnweqizuwiOVxPcC/tKARB6FXj97Z7pvH8C8+zZ5uO2bNns2/fPt544w3+9Kc/ERYWxrRp0zjrrLN44YUXTlr25RB1rW5W723G7PAxJj2Y3NSgHh3nwwnSQkRw15ssUZJoMnuobHJR1eRiw4FW1ue1MiRez9h0I8H6gbcBcXtFGs0ezHYvRp2CsCAlOrW8xyPyPR2n94sSNqcPpUKG5mgn8G4YDGQGGRBEv5/m+mrS0/t2R3bmyDgWj4jldf013HjjjYyachqfff4Fzz77bI9+AJdMSGZlfgNI8OxFownVKok4SiNisKbj5BBp6Nv00kvLD/D35SWdnsurs1HUaGf+sFxKHl+MJElc9u9NbC1vxScG7lonpoYRYVBTZ3bxzqZy9Go5V05OQd+mtLquqIkas5P1hU3tgcx/1pW2e0b9VNDIiPgQ1AoZiWEaPD4RnyQRGxyYcEmPNLDnMLfkM0d2H1you+kTcri9vLupnIU5MSRHnLgmy1PJeWMTeGbpQe4uaOKT7ZW8dfVE/rOulBqzi+tmph+1Z2dKeiR/PXMEuwptzBoRhlwmoFPJCdIoCdYoKGoIqDQjQHmzjYQwHe9tqmRXpYlak4s/n5WDXqXo8bScTCYQdITT+7+vGMd172zF7fNz7shEbG4fr/5UyAsrS0gJ15ETH8JH2wITREdrq6g3u3B6/ZidPm7/aDeLR8TwjwtHHXd/tpV33wsTqVfw+U3T0Cjl1Ftc/ObfmyhqtDMtI4xXLh/f/r0+EYSFBPHV55+SmR74nTidTr799lsefPBBFAoFH3zwwSmxHqhodPLdtkaiglWcPzWGsKCBnZCUCQJRIWqiQtSMzQjG4xMpqLazo9hCYY2dofF6Jg0NQdPHhn2fX6TJ4qXR7KHB7KbB7MFs7yqjoFbKCDMoCQ1SEmZQEtb2X41KjiRJVDW5KKyxU9vqxukWSYrUkJMcRHx4IFPo9gZ6CA/t585iC7vLLLjaFKF1ajk9ncAfDGQGGRAspib8fl+/ZL7lMoHzzjuPm2++GVNzLVWVFSxdupSFC48vqCYBBpWcvdUWnvzhAE9dMOqoysILRsTxL8Dq9nL2mO731y9K7SqxCaHaLn0HhwcxSgGigpRkxBgx2X3Mz4pqU/8VePXK8XyyrZK8GgvJETouGh9oNi5tMpFfZ0GvUlBrdrU7Nd+1IJPEUB2nH9YsOTMrgsd/LAAgPkSDQa1AJg9c6B47L4Nv99ZS2mQnSKMkxqglZpiGVoeHCanh/GFBz+X5T3tuDeUtLp76IZ+ix3unfXKy+XJXFQdrrPxhYWafjf8kCb7fV8dTSwPHtrjexP+un87OihY+2V7FTbMziAvRMffJ5RS3upmWHM60lDjSY3TY3T70GiUr75oFBMob10xLRSYT2qX4Lx6fQEWrnUvHJ5EQqkOSJNYUNLC1tIWxyWHMHBrZK9G3KKOWIdFBlLRYCdaoWPLiWgwaJSJQ3uwgNyGYM0fEUmtxkXKUaZ/fT0/D4xP5Zk8NNrefg7WWbpc7kpCjZFfCDWrUbZmGqlYnRY0Bn7BNpS00WN2knoBAxufz8dlnnzF69Gh27NjR/jsfP348BQUF7cv1Zeig3/vml1i3v5X4cDWnj49CdoJF/SBQ/hueHERWgp79FTa2F5kx232cMT4K+XGccEVRotXmpcHsaQ9cWqxeRCnQmxNhVJEYoWFMuoqoYDXBOgU2l59mq4cWq5dWm5e6FjcHK23tSuNalQyVUobZ7iPMoCQlSodGJaOkzsHXWxpIi9ESZlCxo9iMKEFmvB6jVsG2IjPDEg2kxmjx+yVK6hxsyq8/5v4fYjCQGWRAaG0MTBj0168kIiKCu+++m8cffxyARYsW8Yc//IGHH/4rXkGBQa3otsGt0eYmv86Gzy+xt9pCs81DRFsfyuaSZraVt3D5xGTKW2zc88leloxJ4NoZ3WeP/KLEx9sqWX6gHgGYPyyGEI2Cfy7P5+bZGZw+KgGDDGxtFZw3rhrH+JSIbqd9jBolV0/r2qczLM7InKwo9GpFJ32PyCANN83J6LRsVmwo+/+yAKvby9K8BvZUmpDLZcwcEsnk9HCMWiVf767B5vYxKT2cc0fHH7Xv51icaCXVgcLu9vGXL/fj8YuMSgpl4fDeKbN+e9sMDtZayU0I5vv9de3PH8piXPnWFixOPzvKW/ng2skUtwZ6rirNgamgqY+uoMEZKNkdfGQRGqUclULgT6d3HnsONah5/NyOxveqVidPfH+Q4kYbKXn1pEToSYnoecPxtvIWNpWayImCM7MTMTlF7B43oVoFoujnpZVF/JjXAMDmslbevmo8M4Z2vqWNDdHytyUjmJ4Zwde7ari0hx5N181MZ+vb27s832IPXPTkAiSH68hNCGZftZn52VHdiuANBDKZjKuvvppPP/2UIUO6ls9OJbtKLNhcPk4bF3lSgpjDUchljEw1EhWi5uvN9aza20x6bOcMo0Ag6A4ELYHmY19bj1GoQUlUsIrsBANRIWrCgpTdnmuNOgVGnYLUw3Q7/aKE2e6l2erFZPdid/mZmh1KYoSm/bwyJt1IYY2DbYVmSuucDInXExWsYkuBCY9PIifJwPScjtJrSrSOmKCeudAPBjKDDAitTQMTyAA89thjpKenc+211yKKIk8//TRvr9yFdv7tBCng05un02D1EG5QkRUT1F5SOW9MHD8VNHP6iGhCdUqKGqxEGNTc/clummxummweIvRKmmxuXlxZhNnu5jeTUyhvtPHwN/s5b0wi18xIp7zZztL9dWwsbgIh4GO08mBgKuimD3YzNyeW7X9ZwH83ljM2OYSxKb2f+AnWKnt8EQHQa5ToNUp+MzGZpuExKGQyQnVKBEFgeHwww2KNeMXu/XR6yve3Tud/WytYOOznLdn+w/46HB4fogRub89OdIcTolMxKT0wVbMoJ4bqeQ5qLU5unBm4KIZolFidfmKMmk7BabMjENAE69TtgcwXO6q4uIefo1wWcKoWCPSF9XbixN92y1tjDYy4h2vV5MRpKWowkxgeStURPlNPLc3HJ0rMbssQHs7CnFgW5vS8p2lOVjSXTYjlvS21nZ6/YFxi+98RYVDz9tUTabC6iA/V9luL6GjIZDJWrlzJhAkTAPB6vb0eMDgRONx+dpZYGJlqJNRw6vYnNlTN7NxwVu1ppqi2ezmEIK2cqGA1KRnBRIWoiDSqUPayh+dw5DKBsCDVMctogiCQGa8nM17fqWdmaLweSQJVNz0xCRE9E+McDGQGGRBaG2vRaLX9Fpiyu70seWkDevVQNm3ewt1/+AOrV/9Ew47lhEfnQO58HvpyP3KZEPCWGZdASYOF19eWcdu8DH7fdjG65j9bKG12MCoxmHC9GpvLR0qYlpmZEby5thiLS+Sl1aW8tLq0/b3/9n0+C0fEIkqHTBglBCmQflUI4Gu785TLBJRyJdfOzDjan3HCkMkEooK63unKZAJqWd9r4gq5DK1aydXT+tbj1FMkSaK40UakQUXwcUZmj4bN5UMA5DLwdOOn1Rv0agW3HtHQvfSOmRyoszAyIQSZTMal42N5f2stOmXgdHm4kaOqF83ScSFaHjhjGPuqzWTHGkkI7Z1i8rA4IykhapocgeAtOVTNsvwmfCI02sxcMimJ/YcJy5nsHn7Mq2dEQgiRQf2z5JDJBB49dwx/Pkvk/s/3UFhv4eLxSZw7tvOIdLBOSbDuxF/EDwUxb731Ft9//z0fffTRCX/P49Fs9eAXJbITT31/2ZA4PSlR2o4x78N6pmQyAXUvGmlPBIcH1v0JoA4xGMgMMiC0NtaQkJDQ7/LEyoMNFDTYAHg/VMuqVSt55+PPeeX1D8ieNpUVFjhQ04qEQKhBTb3FxbayFnwS/Omz/ex9OIG1BY3k19vw+CV2VJj53+8nEmXUcP9ne/jrtwdQH6NurFUpiA1WMjc7GkkKpGLnDYvh0SXDWVvYxIzMqH6bM/aWjcVNNFjdnJkb1yuNkKIGG9vKWlDKBaZmRBJpUFFtdpIYqmv/nP74yW4+2lbF8FgDH98wlY+3V5EUpmXm0OP7PR0Nj0+kyeYmxqjmqR8OkB6u44KJbY3LG0r5+4/5xBo1/HDHzD4dyzlZUbRYnchlQhdH5Z7y1c5yLE4fl01O6/Kd1agUjE7qCMgfO28MD53lJ6/cyo4SK6I/UGIaFq3mzNHxvXrfcSlhjEvpW7CfExfMExeO5oZ3tgEQrlcTppHR4BCZnB7KbfMyabV7+WFfHQq5gFYpw+vzd2ue2ldUChl/v2DUgG2vv+j1etLT0/H7/X3ulRoo7G0d+Xr1qd2PQygVMk59nurkMBjIDDIgtDbVkpTYN8+gQ1hdXsIOu5v7fE8dY1NLWXLmmay1JDIyNpLV6/MwuyVAwulzEWnQEGFQUWf1EKoL9Io4PF50Kjmi2098sJr4UB0RBjUunwgSpEcaWDgshhEJRnITw/CJImsLGhkeH9zeV3PJhCQmp4UjCJASrkchl3HxhBNnOng07G4f9322F6fXT3SQmkk9FK6rM7u45+Nd7Kg0A7BkVDTf76nHJUKsUcnG+wJ6IcsP1CIBe2ttzP3HT1SbA+WTL26YzKjknl1wd1eYeOz7A1w9LYWFObF8tK2CpfvryY038MqaMhQCnDs+BblMwOTwIorg8Pjbx4ePR1Wrg1dXFzMxNYwzRsaTGKbjjoU914A5khqTk1s/3AdARrSRSenHD4b2VJkoqHYSolew9v5FiKLUZ+G5/jApLZzvb5vBFxsbKWx00uAQSQ2W8a8rJuLw+LhxTgZJ4Tp2VpiQywTGpYQR3U0G79fChRdeyIUXXniqdwMIBDJaley4DbaDDDyDgcwgA4KpqZbcSSP7vL7Z4eVv3+zh4x11nZ5/4MsDvPZTIRqFjrHxMlRyGT4xcOfj9UtUtTqot3rQKWWE6hW8vbEUjw+CNUrGpYQxJyuS7/fWcnpuLO9cPZHdVSZGxId0SWeeO7Zzb49SLmNIdFCf/56BQqOUkxVjpMHqIjni6Iq5oiixvqiR4gY7kzLCsbl87UEMwIoDDbjabsxN9oCdg8Pjw+3rCCYOBTEANk/PXavf2VxOQb2VdzaWMycrmpdX5lNj8bGmsAmA9Cg9h675N88ZQkaUgWExxh7389z54S62lbXyyfYqxiSHUtFs54tdNVw/M52UPoyJG9QKZATUdmJ70JDq8Pi455PdpIUYmZgY1V6K6ysvL9vPUyvKACh89LReZ6UEIVCiOyRmWGoWKW2y89a6EkoabYxNCeP3M9IJ0igYEmU4IQGX3e3jlve20Wp38/eLxpARdep+Ky0tLbz77rssWrSIzMyj6z6daKxOH3rNzyMb8/+NwUBmkAGhtamWxMQz+rz+9oqWLkHMISrMPsbEKRElCccRzZ3Ndk/A+8Urkl8faGyLD9GgkMmwu328tqYUh9dPXq2Fx8/NZUwPswyH4/L6qWp1opLLiA/RtIvI1ZqdlDXaGRYf3En8S5IkXlxZwKfbq5HLBCanR5Ada2T6kEiSwnvnLSSXCbz8mzHAsaeKdleZuOLNrUhAuE7Ba1eOJ8Ygp84WOF7D40O57/ShfLK9mtvbpqIkiS6TFXOGRjIlPYypvSjZ/GH+EDweP3aPj3+tKqTG0jkI+v301PZ9V8plnDmyd+UYvVoOAu0X/Kv+sw2nV2RtYRPr753bq20BGLVK8h5ZhCTRo4ZUtUJOdowRj1dCkqDe5GnXwugLh4IYgC3FzUzN7F15rOkIkUMB+OlgA29vqgAC34XxKeFkxxr7vI/H439bKlhZ0AzA498d5I3fjj9h73U8/H4/TzzxBFlZWWRmZvZYfG0gsbv8FNc6yPoZ9Mf8f2QwkBmk3/h9XkzN9SQl9b205PEdvcyglMmYkBBBucnW5bXEUC0Wl48mW8fJPSPSgCAIJIdrKW9x4PeLmBxdFW57QpPVzSWvrqWwyY0SCDeqOXtkHPNzojn/lU1A4EIyY0g4m0tbuWZaClqljH8sK2rfRkVLBdOHRFJQb+W6menEhWhxef1sK28hLcJAXMixmz4PnZRFUWJPtQmlXMawWGOnk7XN7Wvv5zO5fITpVPzzkvF8tasKrUrO+WOTGBZnZHh8RyCnVyu4Y14mj313AJ8I87IjefGysT3KlLjcXv6+tIDLJibxxtoSNpY0YXV5OVhvZXi0jn31HdMSYccYBff6RfJqLNSanRi1SnITQjAcoT3ywsVj+GxnFaMSQ4kM0qCSCzi9dFnucA7WWahqcTI3u+vEDtAr41CZAP+6fBySJPGfFdXsr7ASolf2+e47WABz24eVGdO7cqXPL7F8VxN2t8iBxkDG7fKJiZ2MBU+GxWB6lB454Of4RpgnmsjISAoLC9HrA8fynHPOYdSoUTz88MNYrVa2bNnCmDFjCA0NPc6W+s6m/NZAKS/j5HiIDdKZwUBmkH5jaq5HkqQ+j15/s6uSWz7Yc9TXU0MNhGhVfLq/rNPzAoGGx8zoIPaX1VNphzvmJHP+hHT8fokIvYogjZJas4srp6T0ad8+3l5BYVOg5OIF6ixuXl1bysG6DiExCVhdGLg7fWN9GUlHTKN4RdhZaUImE9hR3kpciJaPt1Xw8qoSksN1vPu7iT0qVaw82MC9n+1BLgi8cvlYRid1nJiHxwUzb2gYm0tNXDM1mcQwHamRBianH9u877dTU1mQE4vL6yMpXN/jMsfzq4pYfqCePdVm9lS24vFDfIia6UMiuH/xMFbl1/Hs0nwWj4hhzrDux3z9osSHWyvZVNKM1y8iIJAZ08w1U9M6Tb4YtEqumJLa/virW6axsaipi/mmxyfy7e5qipvs7KsyIQkyksN1/SoRPre8gDUFjTx4xjBGJYUyLiOYzQUmyuqrSY/VMTw5iOiQ3k0E7Xx0MUUNVqKMakJ6MblldXjYUWxFIZPzRV5Z+/TUFzsreerCMVw2MZGyRhuTMyIZmXhiL6izh0bz0Q2TabF7mJvV98bwgeJQEAMwb9689nNRYWEh8+bNY8uWLYwfP/BZI6vTx55SK4U1DmYNDzvl00D/XxkMZAbpN61NAW2JvgQyPr/I3Z/sab+LvHl2Gi+u6iz93+IMBBLJIQYa7R19HNOHhPH7GRk0WtycPzaR3MTgLqPJf1iYhc8vYnb2LSPjcHevU5IQpgOa2x8f6rmYmxWJ2emloMHeaXmL04sAWFyB/pQwgxqNSkaYQdVj4Syz04vHJyKTga1tO4cI1asCDZ9uP0atosepdUEQiO/lGDDAZROS2FVh5rdTkllxQMveaiufXj8ZbZus/pmjEjlz1LG/D4UNVjaXNBMVpCZIo8TrFzlYZ2VbeQtzs49+cUwON5Ac3jUL8Ng3+/lPW3lFBlw9LYXkXpbyjsTh8eMTpXZ/rBEpQWTG68mvsrGv3EZhTT1RwSpykgykxuhQKWR4vCLFdQ6yEvTdfg4ymUBmTO/KPoufXUWNycf1E4dS73DQYHe1v2b3BDJM9y0ehsXlJcKgPimTdWP7UKY9Gdxyyy3t/3/48OEUFRW1TzY1NDQQG9t/T7AWq4ddJRaKah0oFTLGZQQzNOHkDwMMEmAwkBmk3/RH1dcnSvgOmw69aHwyrTYn723tEN5qcrjZWtXEnPRYnF4/+xtMAFwyPpnpQ47dX+D2+Mh56Ed8wOgEI5/fPL1X+zcrK4p3N5bS2tYpq5TB3Owo7po/lOQwPeuLGqm3uMmvt6FXyXnx0rHUmJwsfm4N5rZxTLVcYFxKKAq5rF3JdfHwWMYkhRKiVfW4GfP03EDmRKWUdzu9pJTLCNadnDvC+DA9718bMNtc0EezyEarG69favcUUsplKGUyqk3O46zZPd/u6/jOiEBmlAFVPwQCAe49LQuX19/JXFKtlJGbamR4ShAVDU72lttYtbeFtftbSY7WIooSlU0uEiM0GLT9O8U2Wl0EqZXk1TmYkhSF2+fn/R1lnZYZFhfE8Lhg9GrFCfU2OtU4PD7y66wEa5WkRnQfJB6JSqVq93/73e9+R15eHps3b+7XfmwvMrO10IxBI2fS0BCyEw0DooUySN/59X7rBzlptDbWYjQGo9Pp+Mtf/kJxcQmvvfYqWu3x7/Q1SjnPXTKax7/J47wxcRyoauoUxBxiZXEtaoWMM7MTCderWVNaj91zfFXXarOTQ62n+2p65itzOGOSQnn58vGsOtiAUavA6vLx7qZyrn93Ox9dP4VrZ6azqbiJB7/cx5yhUW0ZDh3r753Lq2uKya+zIhNkKOUCo5NDGdNWDhIEgdjg3mVCNEo5l01K6fXf0BO8fpE1BY3Uml2MSgxhePyJr/WH69Uo5AI2tw+DWoHPL+L1i32Wts+MMtBo6zA3zBiA3g1BEI7qkC0TBFKidaRE67A6fRTVOCistdNi9TI1O7RPQUy9xYXHJ5IYpuPZZfm8tKqIMIManQKGRQVT2GRpFzkzqGQIMoGRiaFEBKkRRQmT00OoTvWLsZvoKX5R4rnlhXy9p4YIvYq/nTOC3MSQXm3j5ptvxuv1Hn/BY1Dd7GJroZnRaUbGDQnutTrzICeGwUBmkH7T2lRDaFgYixcvZvny5SiUKqqrq/n666861a6PxuIRcSweEQdA5n3fdnotNkiJzePD6pb4Lr+aJrub2WkxJBi1TO6BpkpqhIG0cC1lzU6un9XV8+h4CEJg6ujQe93/2R68YmBi6dB0xKT0CJbdOavTegaNkjvmDaWkyUaDxU2YQUVGpKFfY7snkh3lrXy2o7q9+fbOBZntmjonisxoA+OSQ9lS1opfDPTIDIk2ML6PgnEvXDaO297fzq5qC2eOjGH0SSx9BGkVjE43MjrdiM3l65Momsnh4V8/FeP2+bl2RjrbylvxitBic/PjnTP4YUszBU0dI/Wn58ayo8JESmTgN3bze9v5qaCRi8cn8tBZwwfsb/s5YPf42FnRisXpxe7yUdhg7XUgM3bs2H7tg9PtZ8XuZuLD1YzPDD7pXkqDHJ3BQGaQftPaWEt5WSm1tbXc/Ne3UajUvPyX33LaaYv59ttvCArq2mzp9vl5YUUhcSEaLpmQ3H4HuWBoON8cCPSe6GXw2Hkjsbt9/FTQiF+USA7XoVaKpMqD2JhnYtFYJQbN0b/GgiCw8u45fLe3mie+y8dk8/DIuX3Xu7lvcTYpEXqmZxzfuVgmE8iICjqlGhs9xen14/OLGLVKXF4/rj54GPUWhVzGJROTGJEQTI3JRYguMLUUfBSn5eMRplexYHgsdVYPDrd4yrISx/o+HgtBEJDLBOSCgEIm8Lezc7j/i/2MTQ4lLSKIMIOVKWkRhAbLuWpaCqMSw3B5/e0TWMWNNjx+kYP11uO80y+PILWC2UOjaLF7iDaqyU3ofcbQ7/fz1FNPIZPJ+OMf/4gkSaze10KIXkmEUUWEUYnmKOP4kiSxam8zoigxJzd8MIj5mSFI0vHlNS0WC8HBwTzzyT60up//SXmQk8sNiwOmeXPOuYbpp13K7k3L2PDj/2ioKecf//gHv73uZl5cmc/eShNXT09j0fA4CuutXPf2NgwaBR9cN6VTbX9tfgNOj4+YUB1vry+lzupm+pBIrpicwo/7anl/czm3zR1KabUbUYJFYyOICj529mD+M6spbLChkgvs+cvCXo3f/n/A7PDy7qZyqk1OJqaGcebIrnYIHp/Iy6uKiA7WcMmE/qk4nyiabW6+2l3DhJQwck5Ceaw3mJ1e3t5QwtikUKYMiep2mVa7B69fJOqI8truylZ2FthIjdYxc3j3k2gVzTa+3l3DheOTiPwVqvl6/SIVLQ6CNIpu/caOh8Ph4PLLL+f6669n/vz5uL0i321roNnqbXeANmjkRBhVhBuVhAepcLj91LW6qWt1Y3P5OW1sJMlRvW+OH6RvHIo9zGYzRuPRG+QHMzKD9Ju4pCG4XU7iU4by8HVzEZRqNCmjef7le7n6ist5fUMJb64PTJNsfW8XS+8wkhSuZ/6wGOJCNOiOuAuaPjRwkv/H0ny+3VuHVxRpsbkZnxrG0gP1NNpcbCpt4oZZQ/hheyNfbmrA7HMwZ3gEY5K7P8mfmRvDv1YXkxNnRD3YmNeFYJ2SG2al4/aJ7SJxm4oa2VVt5rwx8UQGaSlvtrOmsBG1QvazDWTCDWqumpp6/AVPAYv++RO1lsD03Lmjonn6wrFdgsVQfVfNHVGUuPndnVwyMp1g3dFP2UnhBm6ac+qUbU80SrmM9Mje9z396U9/IioqijvuuINPP/20/Xm1UsaSyTGIkoTF7qPJ4mn752V/uQ2XV0QmQGSwirQYHUmRWhIifn0B4q+BwUBmkH5z34vfY2qu47FbFqMbOpWIM+5CUKhojUtAr9dT2dp5CsXu9gXGRc8YBgTuop9bXogoSdw6d0j73ahSLkMmA8kPDVY3eytaeGLJcFYXNbNwWAwqhYyzJkbzytISDDItX21uorbZy/zcKFRHBCu3zhvKNdPT0Shkv7pGyIFClCQueGU9oiRx/ug4/vpdAQBPfJ/Pnj/PJz1Sz1VTUokMUtFi9yCXCX0uA/1/xOruUDz+bFc9k9IruHB88nHXEwSYmRET0E0y/rKPd6vdQ7PdQ1qE/rjTepIksafKTEWLA7VCxviUsG4DveNtA46tii0TBEIMSkIMSjLi9O3rOdwiaqUMxaB30s+ewVvTQQaEN5+6lYjwMK67+88IisDJ5rpZgbHHSyZ2nKwnJunJiDIgihL2thP7tvJWVuY38FN+I1tLW9qXXTwihgvGJTIhJRizw8vLq0sw6tScmRvXHqgo5AKzc4L5eG8ZVreXijo3b6+s5qe9zewutbCn1MLeMivf7qjjuR+LeHtDOT7/wLkB/5qwOL0UN9gobbTz5obyTq/d8v52KlqcLM6N5Yd9tYx/ZBkTH1nKe5vKTs3O9hFJkk7Z5//l9VM6PX57QwnP/HgQUTx6dV8UJQpq7CQYDFRYrfxrTdFRl/254/GJ/HttCS+tKmJTSTPH62rYUNzMW+tL+WZPDZ9sr+L1dSWYnT2fOvL7/QiCwOOPP87tt9/eq30VBAG9Rj4YxPxCGOyRGaTffPGfp1j+6SusW7eOSZMm4fOLyASh0x1XjcmJ2eklKUyHQi7w2LcH2FHeymWTkpicHsEj3+QhShL3Lc7u1Bzr8voxOzxc85+tjE4K4ZElud3uw6oDdby+rpRbZmVQ1ujB5ZTw+6V2ob3AxSuwP3qNjIRwLUPi9IOp4iP43+YyvKJEvcnFS6s7CxNOTQ/j5tkZXPL6lk7Pb/7THKJ7OUp+orA6Pfz9x3xGJARzwbjO5a93Npbwt28O4PFDdrSO96+bSsgx7BNOBPd+vJMPttdgVILFG7iTXHHXTFKPKJn4RYnTn1tNeZOT6ydlUdZq4/O8Ch46M5u5Q6N48Iv9pEfr+cP8odRbXKT9jBvKK5pt3P/FPn43PZVNxa2UN9s5WGclLULH67+d0O06kiTx2HcHaLJ5SArT4fOLFDfauHJK6nHVqgFMJhPTp0/nySefZPHixQP9Jw1ykhjskRnkpCD6/fz01ZvcfffdTJoUEEjrbsQ4LkTb7ilU2mRnWV49zXYPH22r4vyxiTx38WgkuvrnaJRyNMFavrltxjH3Y3Z2DLOzYyhqsLGysIm4EA3XHCZrf7DOwnd76ogP0hFn1FHT7CK/2k5ypIbJ2aGoFAI3vreNTaWtJASr+c/VE0kI+3krdVqdHv65LFD+uWN+JkHa/l+UL5mYAgQuJLEhGn7cX8/+6lZanCLby02sK2rqss6RRp6nkq/31PL1nlpWFzRy/tjE9pLCppImHvzyQPtyefUOLn5lHT/cOeek7t8TF4zmiQtGc7DWzLkvr0evVhAe1LVRvdnm5mC9nbQwA2qFnFUlAUPVc0Yl8On2SrZXtHCwzkJhnZXKVif3npbFaW0SBj83/rWqmKIGOy+vKuHly8ZQUG/j4a/2tqsld4ckBdztDzl8B26KBPzHyF4dydy5c8nOzu7v7g/yC2AwkBmkXzTUluF2OZk3b16P14k2qhmTHMq+ajNzhkbSaHVRWG9lemb3kxy9ITVCz8KcGOKPMGLMijGSdZgsvCRJlNQ52Zjfykdra2lxO9lY3IrbL1LU5OTi1zax9o9zfrb9NJIkMeLhZe2P391QTv7jiwdsfwVB4DeTU7lsUgqFDTYe+HwPFpePM3Lj+GRbOfVtrtoTko3Eh3RvA2B1eREE4Zjmjivy6rj2ne1oVXJ2PDAPlbJ/p6R52dH8lN9IbkJwp2NxuOrvIQ42OPH4xC79VCeDrNhgtj+4ELlM6Pb9IwxqxicHoxXUuH0+TC4Pw2L1hOqUzB4aydL9dWREBxFrVOP0NjE05uebkbljfiYOn5/fT08n3KBmskHNpzdOQ3WMso1MJjAuOZRv99ZS3mzH5RWJNqoZEt2zZt+QkBD++c9//mx/v4MMLIOBzCD9oqo4D4CRI3uuzaJTKXj6gpG0OjxEBWm48q3NNJhdPK1TkZvYP4dauUxgbPLxtyEIAumxOpKjNOwutbDhoMi1E4ayvryeXbWt1JpdePxij5yg+8ub64p5dlkh549N6LGQmdvXuc/DQ2CEOqSXzZDHQxAEMqOD+Oj6qe3PfX3rLH7Kb0CtlDEvO7rbC/G+qlYu+fcm5ILApzdOJb2b0keDxcUfPt6NXwKb20+z3UtsSP9OSVFGDa9dMa7L85HdlJDk0H7HfyrQHkWzBAIX8o+un8qH62qwuHzEBytJCg3I8mdEG/no+intF+lb5w09WbvcJ6KCtTx38ZhOz/XESmFBTgxqpYyDdVaCNApmZkYR3UPV53vvvRdRFHnqqaf6tM+D/LIYbPYdpF9UleQRF59ARMTxVXYPR6OUExusRS4TmDEkktQIA+kRxy/luLx+bIdNf/QXhVyGXCXy1pZ8SlqszM+I49rxmcxKi+rXRc7m9rF0fx0fbK5gW1nzMRs61xU14/L62VLWctRljqS7EfJRjyxjW0ljn/b3SERR4tnl+fzuv1upN3eeOosyarhwfBJnj0pAr+5+imZLWQtWt4jJ5Wd1QWO3n9neahN2V+D5jEg9sSEnrs/m8skpaI44ZHcvzOyxz9VA8o8f80i791uufGPTMZf7YV8tta1uVhc1UGf2UmtycPGrG3l3QxnH72z85aNSyJg/LIZb5gzht1NSSe3B+eEQsbGxxMfHn8C9G+TnxGBGZpB+UV2ax6jDsjGHZPt7w7Uz0uHYLTBAIIj53X+3YnP7+Pfl44jsoyfPkdhdHlo8Pr7Nr2J/Qwtz0mMZnxDNJ+vqGJEWxKbSBuRygXNGJ/Zo3Njt8/Pcsnw+2VGFyysSGaTmgdOzWJDTfQ/D61eMY0VePTMzj22AeTiCILD5T3O4++NdbCxuwdt2Yft4WxXj0jq2s6WkiQ+3VXLV1FSGx4f0ePsVLXZeWlmETwS96gDPXTLm+CsdxlmjEvhmVw0SUNZo5S9f7eV309LQq5UY1ApC9SrGpYQxKzuaJpuLR84Z0avt95ZQvZqN98/j9bUl1FlcnD48hjnD+u+C3Bfe21yFCKwvbj7mcqsONJAWFEaNxYEIlDQ7sbpt7Ks2MykjnIyoIPx+sb2h3S9KqAeFHgG47bbbTvUu/KwwmUx8+eWX2Gw2oqOjiY6OJioqiujoaIKDg3/xJbjBQGaQflFdeoCzF/4OgEe/3s/r68vIijbw/R0zB/y9JCkgpe/xiviPckdqc3lZdbCB6ZmRPZ5ISQzTIRAoNXx/x3S0KgUNJjcbDrayancLH+ypoNLs4Ie9tbx/bUdKv7LZxpkvriPGqOGHO2Zx9gtrqGx18Z+rxrH8QAOtjkC2oarVySfba5g/LLbbE4ZMJmN+Hxyko4O1vP27yRTXtTLv2Q0oBXjwzGGdltla3kqjxcPOSlOvAhmZTIZeLcfm8hOsVeLzi73yiYowqPns5uk029yM/dtyAD7ZXsPcoVEE65RcNimZnDgjr14e8L85GSfSUL2auxed+ubPt347lpve382d89KPuozd5aW41k5aUBi1VieJISqsnkA5US4DuUyG2e5i5CMrOq13WnYE/7py4gnd/18CXq+XO++8kzvuuIO0tN57rP0acLvdfPfdd7zzzrt8+923eD0e5HIFPl/nEXaVSsW48RM4/7xzWbJkCSkpKadmh/vBYCAzSJ+xmJpoba5n1KhRAPx4oB4JKGy0YXF6eeTr/fhFiT+flUPwAIy5alVy3rhyPG6vSHRw99mYS/+9kT3VVuJDNKy/d26PtpsUYeTgI4sQBFC19cREhaiZMSKMv39ZxHk5Kby9s4hdlaZOfTO1ZhdOj596iwuAylYnZocPi9PH4ddlATiRFYz0mFBKnzi929eumZbKlPSIHrtZu71+Xl9Xyu7KVkzOQEPv1zsqmJ4ZyfxhMb3eN9cRvTxr8xuICtFQZ3YwJSOSq6am9qhf4tfEyKRw1t177Gmp19eWEKrT0uJw4/L5qTAFPovEUDX3L84hJVxHYTeeSt8f6DpV9v+Rmpoavv/+ey6++OL/V4GMKIqsWbOGd999l08++RSz2URSxnDOvPxuxs08i+CwKBw2C1ZTI1ZTMxZTE+bmeg7uWsc9f7yXO++8k5GjRnP+eedy7rnnkp2d/YvI1vz/OoMMMqBUlwTGWQ81+n507QRu/3APN89K5/3N5Xy8oxoITBLdMm9gpNOPl2WJC9ayr9pKRC+bXrtLyYdolTR7rQT7VExKikSnl1AdlpWYkBbB+7+fRExbiWv1H2bR7PQQFxyYnPpwayUmhxejWs6F4xJPyQlBo1QwOqnnDdQ7Klr5cGsFDW3BGUCrB3ZWmPoUyEQFqYk3yKi2BQIaD1BlclFjcuH0igyPD2bW0P5Pq/3a0GsUxARpqbV27k+qbHUzJysq0IQdY+T8sXFsLW6k3BS4y44xDJaWAJKTkykoKEAm+//RBipJEq+//joP//URqqsqiYxJZPKi3zBh9jnEJg3ptKw+KBh9UDAxiRntz80552pcDhv7t/3Erg0/8OjjT/Dggw8yJHMo5527hHPPPZdx48b9bIOawUBmkD5TWbIfnV5PenogRR4TYuCD6wLqpQ0OT/tyxzN0HEhe+s04GqwuIg09e0+nx8tv39pKqFbJvy7v/EOVyQSev3Qc326rJzJIzWWzupaGxqZ0iHMF6dQE6QLve8vcIeyuNLGhpIVWl5+c+KOLOQ00PZFlPxo5scHYXB5cvs61uxBd36TxlXIZq+5dyLQnltFg62j4FQGT3dvvxu3tZc3c8r9dXDg+gdtP4fROo9WFUi4bMIG9Kyen8PRXxV0CGaCT2uzTF4wGYG9lC+UtDk4b3nstmVa7m+/21jImOZTs2J+X0WZ/kMlkVFdX849//IPHH38ctfrknYdOJh6Ph5tuuonXX3+dCbPP4ZLb/knasN4HHRqdgbEzzmDsjDPwelwc3LmeXRt/4KV/vcoTTzxBeEQkEeHh6PV6DAYDixYt5KabbjqmUN3J4v9HuDrICaGqJI/c3JGd7nrqLS7e3lBGSaOdW+ek89rlYzl/7MkzGJTLBGKDtT3u57B7/FS3OilqtNPdYJFGKWdCRihen8TOYis2Z88uvF6fxMKcaAQgTKcgeADE6nrCwVoLs55exTX/3dqn9c0uDy2OQBlDo4DkMA2/mZDIaT3s4fGLEu9vLudPn+1hY3FHmWP1PXM4f2w8UQYlMkCtEEgI1fbJxfhw/ruhjFa7h0+2VfVrO/2h0eriro93c8+ne3ANkDigUiFHlAI+QIczMt7YpVwHMCIxjDNGJiDvRR/TIX7z+mbu/2I/S15cT6vd3ed9/jmye/duvv76a1pbW0/1rpwQ6urqmDlrNv/579tcfvtTXHX3c6TnjO935kSp0jBi4lwuv/3vPP7uNm5//H9MXHApCdlT0UdnYRP1PPTnv5CcnMIjjzyC2WweoL+obwxmZAbpMzVlBznrtI5av83t4+VVRfy4vw63LyBglRVjRH4KtTqOR4RBw+tXjEenlnW7n9vKmvnr13mcNjSevAobe8qspEXrGJESRHSIqtMJw+cXqTW7aLC6+Hp3DTUmF5dNSuKKSSloTvA0idcvsiKvjjUFTbTaPZRgP+YEWXWrA1lb0Hc4MUYNUQYFzTYf18/M4PTcOKKDNRg1PcvI7Kky8cLKQsxOHwdrLeTEGXh3czWJISrev3YKccFaihttqBUypg+J7JHmz7F47JwRKGR5XDn11LlxK2QCGqUMvUrOQGbeQ3RK5KYj3ksuw+byoVMd/dRtcXoxOz0k9lCZ2uYOlKU8fgnv0broe4AkSXyyo4qfDjYQrldz0+z0U25dsXjxYubNm4dKpaKxsZHbbruNxx9/nOTk45t1/tzZunUr55yzBIfbxx1PfkhaVu8mC3uKXK5g6MgpDB3Z2SvM1FTH0k9e4W+PPsbTT/+DO+64ndtuu43Q0P79pvvCYCAzSJ/wuF3UVhYxIvd2vt1dzbbSFoYnhrCzohWry4tEoBl2U2kLi3M70t07ylt4cWUhN8xKZ3xq77RnThRZcUdPje6qNNNo87ClqolXrxhHfpWdfeVWvthUT6RRxYiUINJitJQ02nlhZQE7yk04PH6cPh9en0RCqJaUcD2ZJ1h5dU+ViRdWFWFzeVmQE82109KPGsRUtThY+Nxq5MBP98whTN+Rclcq5Gy+fwGSRJ80VhRyAYVMhiAEykofbg70SVWaPNSaXdw0J4NmmwelXEaEQdXvO0eDTsUzF4/q1zb6S6hezfMXjwkEMRJ4fP72pvH+EBWk6ZSRkQHpUQaMx5EAePrHgzRYPTx4xjDiQ48fSLx11QReWF7InKzIduf5vnDvp3v48LDM2Fe7q/n2lmnEn2KrD5UqkA0tLy8nLy8PgyGgDrxv3z6GDBnyiyw5/fe//+Xa664jIS2HW+57hZDw6JO+DyERMVx4/V9YeOENLPvkVR5/4imeeeaf3Hbbrdxxxx2EhYWdtH0ZDGQG6RO15QWIfj/KqDRu+t+uwJObKhidGIJMkOETRRQyGaFH9Axc8cZmbB6RjSXN7H/4tFMiSNYbrpicTIRBxcS0cFQKGSNSghiebKCi0cW+cisr9zSzbLdIcbOVGpMXj0+i9TCH3spW50lJ16vkctRyOR6FxOikMDJjjx6cyWSBUXO5XNaldAGB3pq+xhfD44K5b3E2ebUWFubE8MpP+Xyzt5EQrYycWCNqhbzdc+vXgsvrp9Hq5rMdlbywsgi/CJNSg3njt5PQ9XIiq7DewodbKgkzKEnQBxMdFDhWSSFqJmdEcd3MtONm94bFB6OqtxHaw76mtMgg/tlLnaAjqTE5+XRH5/KeyenjwS/38+ZV3RtDnmzGjRvHrl27gMB0z+LFizn77LN54YUXTu2O9QKfz8ddd93F888/z5QFF3LxTX9DqTy1gVhwWDTnX/sQCy64gWWfvcbfn/4H//zns9x66y3ceeedvRZL7QuD7teD9In1P37A+y/8iS+3FHHzx3ntz985fwhrC5owu7xkxxiZlx3FxpJmbp2TQUyIjhlPraSixUl8iJp1f5z7s+qCF0WJA3UWYowawg9rFra6vOytNiMTBHITgjul9VttXh754gAauYI4ow6FTIbD46PCbKfcZKPCZOecMbE8eEbOCd/3HRWt2N0+vttdzY8HGrjvtKFcOCGl2+WbbW7kgjDglgZHIkkSTTYPIVoFypNg93CycXh8PPXDQZbvr6PK3DlgvWR8Ao+f1zPrjoO1ZnZXmXjyuzxanIEemPNHJpAREsrCMWHodQoqmmx8vL2KiSlhfL6rGrdP4v3fT0IhlyFJEvuqLUQEqbqUC08GO8pbOfdfG7o8nx1j4PvbB15TaiDIz89HrVaTkpLCxx9/zMsvv8x3332HVtvz42e329m2bRu5ubknvKTS1NTEhRdexJq1a7jg2j8z4/TLf1bnz0NYTE2s+Px11nzzX2QygZtuvJE//OEPREX1fjpx0P16kBNKVUkeGUMymZAZS5gyjxYvzEvT8btpaZw2PBa7x098iJab3ttOQYMNgMfOzeXH22dysM7C0JigXv8Iq1tsPLeiiDNy45hxAkZ2K1ocfL+3jmijmssnpwABld5//HCA/26qRABumJXKHfOz2puJQw1Kbl+UyqLn1+HxScQbdSSFGEgO0TMvPQ65TEAQJJbvaiIuXEN8mBqjTjHgJyCZTGBcSiCV+9u3tiIBj3x38KiBTPhRprokSWLaEytotnv4+pZpDInu30SCIAhEduPu/Gvhq13V/GdDebev7anuWQNkg9XFDe9up8bkxu3vaORdVVhP9qQwGs0+/ILE+a9uBuDDbdXty6w8UMeC4XHUWVwsy6snWKvgmuknXzclOVyHWi7gPqLHJjP653vjO3Rox5RbeHg4I0eObA9i/vrXv3L22We3S0v4fD4UisDl8pFHHiEtLY3LLruM4uJiZs2axbZt2xg7duwJ29fdu3dz1tnnYDJbufXR98gcMemEvVd/MYZEsOSqe5l/7rWs+OJ1XnzpX7z40kvccP313H333cTE9F7G4XgMTi0N0ieqS/MYM3oUUUEaNjy0iC33zeWVa2aiUysYEh3EqMSQwMjyxCQyow1cPCHQjKlVyRmdFHrMZsWjsfDZ1Xy0vZor3tp6Qso1McEahscbGZ/aUdutN7v5vE1qXwQ+3l5Fs93Tab2kiCAmpYWjU8qoNNtZW1bPu7tKeHZ9Httq6hmWaMDi8LF2Xwv/W1PLuz/VsC6vhVZbZ4XNQ9z14XZufndbn/+OIVGBnoS5fQj2/KJEjdmNyyexPK++R+tIkkTrEcek1e6hxtR1dPjXhChKvLyq6Kiv90a/RwIEofMJudnhpbzVzK5SC1f8u7MvkwAoBPh2by1en59Ig5rRySFMHdI1jf/g53u5+f3teP1dp50GinCDmjsXZHK4oXWUQUlufMBG4efOnDlzePbZZwEwm83897//pbCwEIBXXnmFuLi4dlmDoqIiqqsDwWR2djZ5eXmMGDGCmpoafvrppwHft40bNzJ16jRQGvjjs1//rIOYwzEEh3H2lffwyFvrmX3273jl1X+TkprK7bffTm1tVzf6/jBYWhqk14iiyB8uHMFDD97Pvffee9Led9gD39Km+s+OB+YSZhgYr6VjYXJ4uOKNzeyptgAwJS2Ef185sYsarcfnx+L08dXuapbn1RNuUDFnaBSLRsSgVQV6FTxekeoWFz/srkeBHL8fEiI0jEgOIilSgyAIfLurkps+2APAfYsyuXZWZzGro+HxidRbXITqVRjUivaJJZPdzfK8OpaMSUAu71lp55VVheyvMfPsxWN6NM770bYKlu2v58LxicwfFkN5s53f/HszDq+fv52Tw2kjeq9t8ktAFCXOfGEN+2ttXV6bkBzC27+biEbZs4D9QI2Z0mY7armMdzaW81NhYHQ9SK3kmnFDqLY4+HhvWfvyczLD2VpuxqBW8MkNk4kP1QGBQNTrFzv10dzw7jYsLh9vXDn+hE/PHaw1s7awidoWK29uClzsk4LkrLl/0Ql934FGkiREUUQul7Nnzx42btzI1VdfjVJ59L6jK6+8kl27drF79+4B249t27YxZ85cYpKzuOmv/0Wt0Q3Ytk82dquZVV+9xU9fvYnX42LRwkXMmTObOXPmkJOT06144WBpaZATRnN9FU6HjVGjRuH0+LG4vEQFqXtULtlbbeKzHdWo5DIum5RMUljPf5jf3DKNJ38s4Izc2C5BjF+UsLq8BGmUAzruHaJT8fh5uXy0tQK5IHDxxORuJfVVCjkRQXKunpbG1dO6T+2rlDJEmcjK4hpCdErunpfD3nIr329vxKhTkJNkIDm8Y8LjsR8KWDI6nsjgrseo3uzi6z3VeH0ic7OjeWdTOSsONpAZZeDJ83Lbx14vfGUTla12Pt5Wzc3zMpg+5PhZmutn9yx4OkSkQYNGJSe8bfqpotlBq9ODzy+xr8byqw1kZDKBZy4axb2f7KHe4qLGEshKxRlV/O+6Kb36HmbHBZMZY6TB6uKV34wl688/AmB1e9lUVc/M5FhOH5pApcXM6OQQtpa3IiCRGqFrFytstDqZ+/dVWDwSD58xlHqLlxX5Dfz9vBFkRBt7FMSYHB6qWp0khul6ZJB6JAaNkuHxwZQ0dNgnVFoD2jr/WpXPT/nNvPSbMUSchJuQ/iAIQnvgn5ubS25u7nHXefLJJwkKGrgb/d27dzN//gIiEzK48S9v/aKDGAgoCp9x2e3MPedq1n7/PnnbV/P9PX/E63ETHhHJ7NmzmDtnDrNnzyYzM7NX5ffBjMwgvWbn+u957dHrKS6v5DfvHaTW7OaOeencOi/rmOvVm11c+tpGipsdAIxNCuH930/qt2Ovy+vn/s/2sOJgA1PTw3nyglEYfqb+PaIo8d+NZWRGGZg6JBJJkmgwedhbbqWkLqDtsqWiic2VjZjb9D3KjvBRsrl9LHlxLYWNgeNoVINSrsDs8qNSyHjyvBGcOTIegD9/uY+vd1UTpJYRE6Lnw+s7a0H0Br8o8eg3+0mL0vGbSUfvwxBFkWeXF9Jsc3P3wqGE6E9cj0yLzY1MBiG6U9eHI0kSFoeb6U+tQpRg1R9mEWk8dsOo1eVFr1J0mtq76NX1bC41MXNIGP+8aDRrChpYPDyewkYr762vIsEQhEwQ2F7VwLLiQNlPAGYPjWB3eTPNro5TuUYBBo0Ks8PDpROTePjs47uLW1xe5jy9kiabjzijkmV3zemVD1ZFs4Nr395KcZOd5DAt1c0OnCJ8f/NkUqKCyX7oBwCmZ4Tzzu9+GeWRnuL3+3E6ne2j3f0lLy+PmTNnoQ+N4dZH30Nn+PUoLh+Ox+2i5MB2CvZspHDPBkrzd+P3+4iJjWPe3DlMmjSJm2++eTAjM8jAU1G0j4jIKJSGMGraJjW+2lXL+NRw7vtsH1dNTeGKKald1jtYZ6HK5Gh/XNRoo9rkJC2yfz/+3ZUmPtsZ6GP5bl89541rZk7WyddV6AkymcBVUzuOjSAIRIeqiQ5VY3f5yauwYnJ6yIww8s6uYsyurn00Fc329iAGwOKGtHAldo9IqE5JfEjHndvDZw/nL2fl8OLKIiL62XR74b/Wsr0ycKcdFaRmQU78Uf5GGXcuOPF2ASsP1nHNf7YjCPDVTVMYntD7qRGP14fJ5euXwrAgCATrNex5+LQeLf/62iKeXV7I+JQw3rqqw6m6uiXgb9VkcxNm0HDOmEBfWU58CI9dGILd5eOxr/IZmxBFs9PLjpoWJGB1QVMXN3ifD5psHgwqOTfOyqAnNFjcNLXZSNRYvDTZ3L0KZPLrLRTU2xCBkkYHL/1mdLtlgihKRBqUNNu9nDb85/nb7A+PPfYYL7/8Mnv37u33uHFhYSFz5sxFExTOzY+886sNYgBUag1Zo6aSNWoqAC6nneL9W8nfvYF1Wzby7rvv9mg7g4HMIL3m4I7VzJkzm7gQLVdOTmLlgXqevnAUb60vxezw8PG2SlYdaGBPjZmXLh3NpPRIAFIi9ARrlTS0NbnGB2vbDRd7iiRJ7K+xUNpkx+72EW3UEGZQolHKcHpFlHKhTynxnrzvsrx66iwuFg+P7XdQ0B16jZzxmSFc+84mLhiVzsW5qZg8gd6cb3dW8fbmCv5xwXCCNF1/tncsyMLq8pEWqWN0Ukin1wRB4Ja5vSsXHYnT46O8yd7+eMWBBpRyBdOGRKLsgyz+sRBFiZ2VrTg8fsYlh6FVdZ+x21jUhARIEmwrN/UpkJnyxEpa7V7e+O1YZmV1P03RYHFQ2eJgbMrA6GFUtjjx+iUaLW58frFtsk0gNlSD0+dnSnrX9/H6RapNDnZWNxGbqUev6viO+yXQycBxWE/tISMNl8/fY3XdhFAtI+P07K6xMzHJQMxRHOaPRnyIlmijmjqLm4ggFQmHBdQymcDm++bjFTvc439NXHvttWRnZ/c7iCktLWXW7DnI1AZuefQ9DMaTr5J7KtFo9eSMm0XOuFkANNdX88BVx88iDwYyg/SK1qZaygr3cs6Vv+PcF9cyLzuaNW16MI9HG3h+ZRHjkkP43ds7ALj3s738dHfAxqC8yd4exAD8fkZarwXD9tdYeG55AVtLm5EJAsmRBv5y5jCevWgUawubmJgWxujEgf/xry5o5P4v9uJw+9le3sJzF58YOXCAnY8soq7VwY87WshQG6gzO7npw0AD4fS/ryXvrwtRysArBoTt7pyXzukjYvssLiiKEssO1FHSYGd0UgiTjriQ+v0if/h4F03Ojivlh9tq+HBbDc9fNIqzRnefmekr+2ssvLOxHKfXj8Xp5fTc7ntsbpmTydbyVrQqOZeM75tFgU4lx+L0HlMt96wX12N2+Xjv6vGMGYBg5sEzcjhjZDwqhYzHvz/A2OQwFo+IZUZaGMmhWq6fmc6N726hptXF6SPjmJkZzdL9dWzMb2FeeiJOr5/NlY2dtqlWy7l6Uirf76uhrMmBSgCjXsX1M9N7vF8apZyPb5xBi91DuEHV6wA1O9bIK5eP42CtlcwYA8PjO2cSZDIBtezXE8RIksTLL7/MZZddRnR0NOeff36/tldZWcms2XPwo+D2R9/HGPLzUD4/leiCeib/MBjIDNIr9m5egUwm55PGaORWK7trrNSaHTx63ii+21vHD3tr+HBzOTIC48qLR3Skkd/Z1Flv40CNhSW9iAfsbh8/5TewuaQJi1tEAIbIZSSF6clNCGFSWgRalfyEqAU32zy4PH58okST1XP8FfpJTKiOMyYo+HJTPev2mZALAn5JQgIqWxxEG9W0OLy8c9VYxqRE9kuX5m/f5vHm+rL2x4+ek8Nlk1IAqG21MfnJ1Uddd3+tZcADGVGSECUJvxTIthwNo07FFzdN79d7rb5nznHtGNIjgyhttJLYi8b0Y6GQyxifEsaW0haqW528sW4HWgUc8iNdebCRlrYHe2sKWLa7ielp0UxJjmFPXQsbyhvwHDHSbHL6GZUYTFqEnk93VHJ6bhznjU3odfZDpZD1OhNzCEEQGJkYwsjEkD6t/0ujtraWhx56iJCQEC677LJ+bau6uprZs+fgdPu5/cmPTonlwC+ZwUBmkF6xd/MywtJzkWs6+lq+2lPLWWOSePDLPRymzs/45GBumdPRK2HUdD6p6lTHv/gWNdioanUQH6Ll/OfWYG47fwtAsFbOzMxIQvUqvtxRwe0f7SXGqGLZXbMHvNl3YU40e6pMVJscXDOt53e5/SE8SMVp46L4ZksDN0/N5OUN+UQbNVz55iZqLV7kQFmLh7GpfQ9iLC4v728q6/TcKz8VcenEZARB4GCdtfsVAZ0CZgyJ7PN7H43h8cFcMiEZp9fHhNTwAd/+4fTEjuG93/e+MdXjC0zqHPJcqre42FDcjNnhITZYw7QhkYxJCuGhpsDottMHahmIQkDaHyBUq+Li3FSC1EqKmsysKqmjta1nKlgtw+0XcbUFPwIwLN7I93vrCNOr0aoUxw1iyprsfLm7GrkAqRF6Ts8d2ID0l4DJ4ebLXTXoVHLOGRmPsgeDB06nE7VaTVxcHPn5+f0qJzkcDp599lkef/wJVFoDdzz5EWGRv84pvxPJYCAzSI9xOe0c3L2B8667h8PluSakhLKv2tQpiAHIqzHT6vCiVSmoMTm4cEIyW0saqTAHzr776yy4ff6jnnBLGm08+k0e+fUWMqIN7UEMwKS0UKYPieK8sQkAvLKmJGBUafFQa3IypBeKoj/uq+KRb/J5+Mxs5uZ0fxIxaJQ8fPbwHm9zoIgNVbNgdATfbWtgdlocy4oCTc0AfmBPtYnRSSGkRui7ZGUOeQAp5TKigtTdZh0kKZA5OxyRjjTIrKwYLhgbR1mTld2VVjwi6JVw67yhzMmKJiNqYKY0DkcuE5icfmIDmBOJyeHhpvd2oJAL/Ouysdg8Pl5ZVcTqgnrMLj9xwRp+3FvF+hIzU1OCOFgf6D3act885HIZE/+2FIcfTh+agF+UeH1rAVaXh09vmsKagiZMdi/VJgehehVGjYLyZjun58YSF6zjwrGJpIYbmNKD4+fw+DlQbeaHvAYA1Eo587J7proqiiI/7K3D4xc5c2RcF70hu9uHze3rsSzDqaDZ5mbWk8uxtp23Xl5RwLK7ZqM4RgAoSRIXX3wx4eHhvPnmm30KYlwuF+vXr2fp0qW8+977NNTXM/30y1l88S0Ygk+e0eKvicFAZpAek7d9DT6vhzuuuZgfy318srOWSckh/OvKiXy4taLL8lqVApVCRoPVxUNf7seoUTAqJYKK3XUArDjQxCOf7+Td7fVkRGhY/oe5ndavM7sobLBhdvrYUdbaXq4C+POZOWTFdtTgHz5rBFe+tYUR8cZelwDu+mgvNo/IHR/tYc/DP7+7oeQoLVV2G2Piwyk322iwOXD7fBi1Kr7dU8vKA/U8e/FoxiZ3nATLm+28tb6M/DoLaoWcednRXDA+UGo4JJYHYNQoOGtkHJ/sqGlf98opHc7ZgiDw9wtGI0kSBXVWKlodZMcYSRigMsuvEbdPxOH1I/NBq9PD5pJm1hY1UtIcmEpqtns5UGPFB3y1z82Pt08n3KDGqFfx9roS7H6YkBBBvFHHu7tKaHF6CNfKGBpjJDchlKIGG5tLmpk3LJrotmZ5r1+k3uzkxnd30GB18c0t09AcpUn6ENmxQZyRG8uPbYGMUt7zgOO3b25mTVELAP9eW8y3t3X4KTXZ3Px7TQktdg9zs6NYNDy2N4fvpPH2xrL2IAagtNXNppJmpmUeXWtJEASuvvpqNJqel98kSWL//v0sW7aMH3/8kdVr1uByOgkOi2TY2Flc/9dbiIxN7s+f8v+ewUBmkB6zfs13KCOSuOLjcn64fQYPnd1hiLcgJ4aPt5azsypQihCAa6alEa5XYW+7MwucdDvu9vUqGe9uD+hhFDW5urxfaqSesSmhfLunFp8YWO/TG6YQY1S3K5keYkJaOPsfXoQg0H4RFkUJt0886tTLIc4eHc+HWytZMiqh18fkZHHL/FTeWlXFmVmJTBlmJC5My+qCBh76Mg+bK1C6OMQLyw/y3IpiAHxth7ve4kSrlLGhuJHlBxq5fcEQrpyUikwm8MR5I5mYEk5Bo40JqaHMy45h2Z4qXl1XzhtXjiFYr0UQBIbGGhl6DFft/4+IoshLKwt5f2slI+KDeOLc0UQFqfnnhSMRELjstY202L1oVZ0zFka9nBa7H78EN723ndFJoSSH63h6aSFahZwZqdFsrWqi2hIYs//buSNRK+T4/CJNNjdn5sZibHOW9/hEbnpvO2sLG3G1feA/5NVx0fhjXxwFQeCMUQntDvVTj3EBP5L1xS3t/39/ra1TcFzebKekyY4A7Kho/dkGMt0liraWtTAtM4pb3tvGsv31qJUyZDKBH26f2T79dfbZZx932/X19axYsYKlS5fyw49Lqa+rRalSkzF8AosvvYPsMTOIT8n62WarfmkMBjKD9IgWm4OD23/CMHIBbr/E/Z/tYWhcEDfMHILZ7uai1zaREqHn/sXZWN1esmONLBgWgyAIGDRKHjs3oIxpdnjx+ERKGm1cOimZN9YU8FOhGV0338TYYC0PnD4Mh9PNsvxmVHIYmxyYSPphbw3/21LO7XOH8PDX+7lxRgoLRnacuK0uL5P/thSbDxZnR/DSFRPaTxqbipt4emkBN8xMY+6wGB5dksujS46v3HkqiQnRcecZGXyyvpbyOg/RIWre2VhBiFbB9IwIxiR1ZGO+3dfQHsAc4kCdjbs+2YMAyGXw9toSyhvtXDg+mWFxRi6Y0DH1I0kS176/Gwk45+WNrGqbOjv02o4KEzqVnOxTFNT4/CJf7KyizuJiQU7sKTUm/Hp3Df9YHvBbqjW7qWhez9Qh0SBI5MQa0SjkCIIXj7/zeuOSwsmvt1JndtFi93CwxkJNS6DEFGXQoJDJ2FETCBaunJzQro485bFlNNgDpdmSxxYjkwk02dysKWzEfdiHPr8XOkq9CWAOEW1UUWMONL0Ha+SdLsipEQYyoww02dyMT/n5lkouHJfASyuL8B5WW31zbTGLRsSxMr8Blwgud+DFf/1UxF/aRAVfeuklRo4cydixYykqKqKgoKD938H8AgoLC2luCkyVJaZlM2LqmVw0egbpOeNRqX/eisa/VAYDmUF6RH7edkSnBV1GQMBrQ2krG0pbqWhyEB+qpcXpw1Rl5tlLRiMTBDRKORanh2a7hzC9mjB94K4vWKfk7kXZ7ds9mmS+1eVFIZMRGaTm31dNQhSl9h4Pk8PDje/tRATWFG5GAq793z4W7mnkjnmZZMUa2VzSTJu2F98daMLm9hGkUfJTXh3XvLMdpIAB5NxhA+/EeqJQK2XMGxXBl5vqWba7mbJmO0jgcPv4eFsZv5+RgUap4I+LMrntfzuxuLua9UlAXLCKCpObdzYFyoEPnTm8U//M5W9sas+bnT2q8910vcXNFzurUcoF/nha1inRBHltdTFPLS0A4M21Jfx45ywi+yFo1x/y621HPHaQX1/afvzC1KDXqNuFI8N0SqZkRJATZ8Tl82Nxemhx+GhxWAnXBY5lhF6DTxQxuwKBwnljO4LMlkNmY4BfkpARcBefPTSKlXn1eCRQy0GpOLF+wN/cMoP7PtuL1y926R0L06u4Ze4Q7G5f++9+oJEkCbvH367DY1D3zlHe5xf5Zk8dSeF6ihs79JGsXnhmaT5OT0dQqJbB1HA306ZNY9GiRTz11FMIMhkWc4e7uc5gJCYhjYjYFCYvmkR0fBpDRkwgOGxw+uhkMBjIDNIjavauRR8cxsLZU/ipoLX9+fx6K/edns2Kg41kROl4fkUh5U0OPH4/zTY39RY3aRE6/nHRmC66EkfD7PDy8Df70avk/OWs4chlQqcLrUYpJ0KvpMHuJSNSQ2GjC4UQGJHeVdFKi91DrLFDsE4BaNumET7eWY1fApUMHjozZ2AOzhF4fX6UJ+gCHx2iZky6kW1FFhZmRfPp7hq+y2vgu7wG3t1Uwep75jBraDSPLMnlrXWlVLXaUchk1Fs97RfXtMggqk3NQMd0zeHsrwqcoGXA7fOzO70WblAxKS0MvVqBaoCF8HrK1rKOskaL009Jo/2UBTIjEjp/p4+cFm9xg9rfMa6fEKbjnoVZHKyzsKfKjM3VcfxNDj9DIrVE6NS0ONxIwOk5keQeJvT35U1TuPG97fx+enK7zotSLuPFS8fQ6vDSYneiUyoI0gYCCFGUeGZZPg1WN386LYvQ49hFSJJEi92DWik/5uRfmEHNvy4fy382lPHV7hqunZ6G4rDgSaOUD7hBpdcvUlBvJa9NELPV7gkEc0JABDMlQsew2GCyYoM6Bdh+v59zX1rPnhorOTEGPrphCjaPn4I6K+OSQ6lotHOoVSbJqGRraTNi27HwNpVzSXwz997+FTu2b2fDhg0MGT6B1OxxRMenEhWXQlRCGgZj2GCZ6BQyGMgM0iP2b13BeUvO4g8Lh3GwZhN1tsAJeMGwaBJC9bz/+0m8tKqIdYVNOLw+LA5fe2NufoODl1cV8tJlY4/5Y69udWBQB/xnVAoZWqWc7pbWKOUsv3s2DRYXiWE61Ao5VpeXHRWtXP/2Vpw+0CkFXr5kFG6/SHqkgdJGO5vLmjl9RAxBajmXTEggLqRniqe94b3N5SzdV8cNs9OZlDbwglatdg+riurwu2TE64LRqxqwewJ36fVWLy+tKuKuBVmckRtHpEFNQb0VnUpOQoiGzWWtjEsJRa9SEGUoZ0tZCysONhK/upCbZme2v8d3t07n9g93cdOcrtL2SrnsqAJ1vWXe06tosLr54fbpxIXqj79CG7OzolhVEHCHTgxRMTTmxJSWzHY3/91UwWUTk9Cp5NSaXRjUCiLbJnF8fpHSRhujEoM5UGPBfaRPQBvRRg21Zhd6lZwlo+OICVbzzoZARi0hVIPPLyfOqCXaoCbCoCFYrcLm8fLJtZMYl9Z5+ignIZTVf5zX5T0U8kD2MvIIxWm3T2RftQWry0utxXXcQGZZXj3vbCojXK/m5jlDOk2leXx+pj3yAw1u+McFOcwaGsuHWypwev0YtQrmZcf0WYPmWEiSxIFaK9/vq6W0yY5flNCp5OhUCtQyAVGSaLZ7qGhxsK6wmYRQLQtyYhidGEKz3c3j3+xjd02gd29fnY3L/r2J966djEGjoKLZydycaA7WWQnWytlVacZduR9H4SacRZvxmer4p1bHsDEz+e1d/yRn/Oz/d2q7vwQGA5lBjkt9VQm1FUUUqa9hyUvrO83rNts9fL27hh0VJvJqLHj9Ih6v2GWk1+z0cSy2lTVzyWub0KvkbHtwAX9ty8RYXF7211gYnxLarskBYNQoMWo61FiDNErSIwztomIOr4TF7eN/W8rZ3daArBACpa13rpnEsLiB7e+QJIn1xU1sL2vFL4on7O5se3krb60tBrmcq8cOYdGQeD7d3yE0+MbaYi4Zn0RcqI4pGRFMyegIpqYcVsZLjdBzxgtrMTm9rDjQ2CmQiQ3T8+ENU6k1O9lY3Ex8iJak8IGfUmqwunB4RSpbHb0KZC6fnEJCmI56i5tZmZGE6Aa+fCFJEn/77gB7Ks1sLW2hqMFKk82NQi5j8fAYQvQK3t1QgVeE+dmRlGtk+Bx+1Arw+kEhg8RQLVHBOsqb7UxJD+eGmRlMSA3jgc928f62GqL0Gs4dnkSIRo1PFPGJIla3F5dXxOTwcftHO1l+5yw0qsBp2uMT2VNlItqo6fFknlYl555FQ2lxeMiKPvZ33u3z8+WuanZWmJDLBKZkRHQKZD7eVkFDoELGXR/vp/TxZGZnRbO2qJGfDjZS1uTg5jkZA/p5eHwi3+2tYXVBE16/SFyItj27ejiHev/dPj81Jhf/2VDGn6pbKOhmiOBAnQVJCniWrcxvQgCSg+U071xP7Vdv422qQG4IIyxrCsmjZnL56WeiUg/8Tc8gA8dgIDPIcdm7ZTlKlZpK3RBkR0QoX+6uw6BSsDSvHkQ/JpeITiVDLQd3W9ZcDlw4PuGYF3eVQkAmCCjafGdUbaOgN767g301Zi4cl8gDZww75n7Gh2q5a146H++oYlZmNEtGJ/DotwfaX5fLBLRKOWrlwJdEvt9by83vB/p2ZmSEMfEECbmZnd6Ap47oZ2VJLWdlJxGl19BgD5ywHV6Y+fdV/PmsHGSCwMKcGMINXe/CQ/VqLh6fxMqDDVwxuet0S4PFxT0f72ZfjYXUcB3PXDSalIieBxs94ZtbplHV6mJiWu9E9QRBOKGmoGanly92VmNyeGh1eChqsHGoAOQVRT7dWdNp+U2lLWhVCtIiA95hbp+fecOimZAaTmWLnU+3V3HBuEQmtWm7FDc6UCtknDc8Gb8k0uS14xZ9ZMca+fc3BxmfGE1WRDA1Zjcmp5cYlQJRFDntqe8pDlhv8fZV45gxtPtjIEkSmQ98h88PO+6fw7C4npV0lTIZqRF6NhU3IUlQ1mhl4T9XM3NoBPctziEuuHPwJAgCo5JCKGywkh5poKrVSYPVPWCBjNcv8tmOKn7KbyQySN2jfhu1Qk5qhJ7qVnu3QQxAmArWFzWypjCQ1XMUb2P90pfwWRoxZEwgbMGNBCfkkBhuZGhk8GAQ8wtgMJAZ5Ljs3bycnHFTMas0XTItAO9trUIO7Sd7UZSIMmrIiAxizrAohkYbGZd87HRsbkIYWx6Yh0ouQ96tcNsxtOrbEASBW+Zlccu8rPbnvrt1Clf/dzvnjU5gaFwwEXo1aQN8QQbIq7V0lNLq7cdc9ljYXF4ueGUDPlHi4+snE6ILBCF+UaLO7GJIVMe+H2gwMyPFw6SkSL46UNn+vFeEJ77LQ6NSYnZ6uGFW94aRt8zN5Ja5md2+VmVycqDOit3to7jJQXmLvVMgk3nvtxzq/Fhx21TSY0N6/bcmhOlptntPaE8RBHqW7vl0Dyq5jMfPzT2mHYEkSXy0tYKf8hsJ1SsZFhvET4XNx9y+ACzIjsaPRJPNw6UTkzhtRKBJelRiCKcNj0VxWD/RX84ezr0f7CNYo2J0poExKSEAKGQCm4ubKKpzMSkxksVZse29Py0OT3sQA/Dh1spuAxlJkvhyZzXeth/j/Z/t4eUrJ3Yajz4aMpnA1dPSUCtlfLWrhqV59dRb3Pywt477FucwOzuap84dxuZSE/eeFripSI/UExWkpqzZTkaUYUDLtcv213LfZ3sRgbmZoRg1YZ2O47E4Vv9WjQO+3FWNz+2iedWb2HZ+R3DGWKbf9jxeYzwigc80QqchPezUTcQN0nMGA5lBusXt81NuslFaU0fhvq2ELriRw3/SCgGGRAdR0mTF7QOdWs7ElFCKGx1cMimJhFAdE1PD2rMBoijyu/9sxeLy8d41E7uVAg/Wdr3jevk3Y9hXbe7zGGdiuJFld87u07q94eLxSby+tgSXT2JOVt97Y1blN3CgLjAJ88O+ei5uG4t+fkUBS/fXs2R0xxSRBGyubGT+kDjWlNZjcnU0ldo8EjaPh+eXFnDpxJReO4InhurIiTOyt9pMWoSeTcXNfL6jhnPHxjM+OZTD3aYWPbeePX9ddFy9niO5+NUNbCk3kxahZeUf5hx/hT7i8Qd6KORCoJ9C1m3nVYCKFgff7aujvMlOi8N71OXGJwdjbmnCWnmQMMFOQ/NcgoJDmZYRwYTUUArrA1kKmUzocvHNjgvm0fNyWZfXytDooE7mjE9dMIrv9tbQapIYER1Bca2DzHg9IRoVaqCtstPJGkKSJPJqTLy8qgS3X2R3RUcz9BWTk3lnYxnFjXbCdEoW58aSEXX0i3OYXsV1MzKwOr1MSw9nS7mJeVkdJckLJ6Ry4YSO5TOigrhpzhCarG5SIvQDZg1S0ezg0x3V7TcHKwpaWVHQyshYHbOGHd9Kobss5CHGxKipLthH/dsP4jY1knjaTWTPvpBRSZEICNg9PrRKOVEG7SlraB+kdwwGMoN0wesX2V7dTK3VSdX2FUiSiDZ9fPvrMkCvlpMdY+BAmxfPC5eOZmZmFO9vLOM/m8posbi4cHwSfzw9MBn00Oe7WH6wERmwtbyFKRk9KyeE6FRMOwF+PgNNQpiOu+Znsiyvnmund22S7SnTMyJICNHglyTmZXX83V6/hITEVzurOy2/t76V2ekxDI00srmyqcv2nCI4PL5eBzKRQWr+fv5IylscfLilkn+tLgECd7If/G5ip2W9wNsbSrjuKJmfo2Fo6/3orudhINGrFTx9/shA6fI4F6Ymm4eqVgcOT9eeLr/Tgm3PMry1Bay1llNfUwUEMoE63bNcc/0NnLXwQZa8soHyZieXjE/ib+eO6LQNj09ka4GZ/RVWIoxKgvWdT8FqpZwlYxIRJYnVe1tYuacZl9dPboqRDQ/M47u9tSSG6pjVFlzsrzbz1vpS1hQ00Wz3oJSDTCZDp5ITpFFw28f7UMgFdEoZVrefT3ZUcd6YBJaMTjhq35NKIeO+tt/tjKzjyxPEh2iJH+DG+bVFjQjQSc0boLjJwawerC+Tyfj99GT+vbazUa0k+ln5yVtYNn6IMiqN2N8+hzEmBUkAm9vH0MieleEG+XkxGMgM0oVaq4M6mxNr8Xbyv3oRTfJIFEEdPR8iYHP7uWRiEuuKmxEliWGxwbQ6vPz567x2MbZ/rS1ja7mJxbnRvLu1FoBYo4rhMcGsPFDPjCERKBTygLy6xUWQRtnrC+6xKKy3UNPqYmZW7wW/+sLvZ2bw+5l9D2IAQvRq1t3bYdXg9YuYnV5um5vB+WMTuOCVDZ2W94kSHp+IXOi4QAt0jAGPjtcT1cfR5Cijhiijhgc+39v+nAQsPVDP8xeO4NaP9ra/38S03mfM3rxmEi02N6GH9T5sLW1mVX4jN8/OQDeAxp9Rxp4dA6vTg+gX8R1RQ/VZmqj/8AH8lkbCkrPJnXw6KUNHkjJ0NAqlihWf/ZuXnn+e/y3fRsQZdyFKUGVydNn+zmILByptjBsSTG5K0FHLPTJBYNaIMDQqGRsOmAjSKkiN1nH55JT2ZdYVNfLk9/nUmV2YbW5EICFUR7ihrRxlc1PcaO9SDn5xRSE7K008sDibjDYxQZfHx8WvbWRySjDnTUglNcKATIDdVWaW59VhdniZOiSCmZlRvc689ZZGq5s9lSZWHWxEBFQCjEwIIr/Bxtmjem5sqVOpmJYRxtbSVuQyMNdX0fTNP/DUFZE46zKU487DL1MQpJYDwmD25RfMryKQEf1+fF4PKk33dwUtjTUU7t1E4d7N1JYfRGsIJjgsmqi4VKaddhn6oMEo/BB+UWRzZSMH1nxB7fcvoEkeSeTZ93ZZLifOyNjkcDa0XXQVchlun5/4EC3lrc725fZUmylp6ugZeeaCEdzy0S72Vpk4e1Qc9yzKZuaTP9JgD1x6/3fNOCZlRFFrdpFXY8Hu8RGiU5ETZyTiGOni7rj035twekTev3YSuQkhfTgap577PtvLtrIW7lyQyZkj43n5klE88OV+Chs7LpIScHjbx+HdRDur7bi8fvT9CAqGRgd1En6bkBrGwuGxLC9oYtWBBuJDtAyLC+Wz7VW8vq6Eqenh3LMoq0d9L2FHfKZ//SaPRqubaKOaK6ek9nmfe4vV4ebcl9ZQ2Ozp9LwAeOtLqPv8UZBEljz4PjNGj+4iBLjk6j9Rpoih4IO/kJCcynU3381vp6Z1eZ8mq4fIEBVj0o9/zhEEgclZoVQ0uihvcJIa3ZFB2Vtp4r7P9lJrduE9bOy7qNFBuCHQcFze4ui2p80rwcbiRj7cZuC+xdm4fSIXv7KeXTU2dlVZ+HR3A+mROi6dkMw/luVT1hz4PX+6o4qb5mRw46yME6qZUtZsx+z0tffceSSYkhnDlMPauXz+wLSbze1Dq1SQGKbtVpxxbHI4w+OC+ex//+Xgh88hN4QRc9lTpOeMRauUIyLgF/0Y1Uqigwaben+p9OrstnHpR8SnZhMdn0ZwePQpFQCyWVrJ276a/dtWcWDHaqzmVqLjU4hPHUZ8ajZBIRGUHthB0f7NNNYGFEyzsocxbcI4LBYLlVUl/LjuG5Z9+iqLL7mNGaf/BoXyxKhQ/pLYXd3Mts9fxLLpEwyjTiNs/vUIss4niNRwLf+4cCQymdCp30CtkLP0rplsLW3itTUlzEgP591t1SzKieYPC7LwSxJqhZytlVbKmmxMTA3np/yG9iAG4PYPd/G3c0eyLK8es8OLhIggyIgwqDl3THwnY8TjkR6pp9rkIrGbtLfPL/LIV/ups7h4/LzcLhfUnws1Jid2j5dqU+BiMi41HLO9852+yekhKUQP5d1toXtPmeOxrqCW3RUWrps9hCfPG0GT3YPN5WXJmAQWtnnn3DFvKJEGNfOzo3F6fTz0ZcB880CtlemZUczI7H1J8IJxCSzLq2d+9slVRB37yHI8R/STS5KIZeuXtK75L6qwBC7/40uMG3Z0B/QLzrqQL+117PzqFUz7VmO/5mqmTJnC0KFDiYkJ2HWkRulYs78Fk81LiKFn2cfYUDV1Jnf7Y0mS+NPne6hocXa7vN3to9XhwXMUXRsAtw/2VJlosnnYUd6C6rDyXoPVTYPVTXmTgxpLx/s6vCIfbavkzNz4fo3j/3dDKR9treSSCUn85rAM0yHqzC4QYH6mkRUFFuZmBsbGd5c3c6DeyhnDYylodFBjdiIAbq+fwnoLk9LCu+jkWFoa+eCZ+zm4ZTUZ05Yw//J7iAkNw+xyU26y4/WLhBq0DI00olP+Ku7r/18iSD0YB7FYLAQHByOTyRDFQIyv1miJjk8lIjaVqPhUohPSAv+NT0MfFDJgOyiKIq2NNdRVFlFbURj4V36QsoI9SJLEyFGjOeP0xaSlpbF371527tzFrl27sFjMDB8xgtmzZjFz5kymT59OZGTnE2tdXR0PPfQQb7zxBpGxSZx28W1kjpxMaETfTc68XjfVpQepLNqHQqkiOjGd6Pj0X0TWx+N28feHb6Bq1ypCZ19N0Phzug1WE0I0fH/7DII0/S8DrTpYz1X/2db+ONqgYExKOOvy67F6AzXycIOSEfEhRBo13Dw7o9fu1t3xw95arn9vBwDnjIzj2UtG93ubJ4IGi4vCBitjk8PQKOV8s6uamz/Y1WmZzAgj5+Yks7exCaffzcr8jmbPx87N4dIJKb16z7JGK7P+sQaAGJ3AFdOH8OyyAoK0SrY9ML/b74TD7WPW06tosHpQygQ+um4yo48zqfZzIuXebzs9dtcVYfrpTVzlezCOX8KMC27h9OHpPdpW4b4trP/xA3au+w6POxBsBAUZGZKZybBhw5h8/n3EBMtYMqNnmY3dpRa2Fpq5Zn5AwmBLaTMXvbqpi4rwIQSfC5lSjV869rZHxBu5Z+FQvtodGCffUtJMeWvHyLJeKWD3dn6XcH3vdZh8fpGKFgcp4XpkMoGzX1zHgVoLI+KD+fTGqV2Wf3NdKTsrWkmLNHR6/vkVhUhAQogarUpJZYu93STzEGeMiCI9KnCu3bt+OR/+8wFESWD4hX8kY8wsZqZ29Pz4RRGfKKGSywZVeX+mOB1W7jx/OGazGaPx6N+5XoWgDQ0NNDc3dzLJys8vYM+6L6iprmpfLig4lKj4gO9EdHwqUfFpRMenEhoZh0wmA0FAQAj8VxAQ2ur7pqZaaiuLqGsLWBqqiqitLMLlDNyBarRasrKymTp+BA/ccyuLFi0iLq6ryqgkSbhcLrTaY6cKY2JieO2117jlllu46667+M8/7gAgNCKG5MxA/Tt16CiShuSi0R57ZNfjcvL5W4+z7vv38fm8yOVy/P4O+fGQsEiiEgJBTXRiOjEJ6UQnpBEWlRA4JqcAu9VEZfF+qkryqCrJo+TANlqa6olcch+6zMnty+mVMuyHOasZNMpOkxb9YdqQSMYkBLGjyooCOHNUIsvz6rC2DYyIQKPNy7byFsanhrG9vLVTIOMXJQrrrchkAhltUyI9IT5U295ImBE18OPYA8WhPpVD+I+479AoYPKQUASZxFnDE8lMUrOxeB1On0RamIaLxx3bAbk7rIfJ5lvcErHBWmQyGSHdTJUdQqdW8O8rxvP9vlpyE4IZlRTS6/ftCwX1VvZXm5k5NKpfvj4XjI3l4+21eBpKMa17D2fhJhRh8URd+Aja1NHYxZ5f6IYMn8CQ4RP4za1P0FhbTn1VCfXVJdRXFbNp+35KGx9GEkVuuGg1ixYuYMGCBcyfP5+oqO57ucIMSnx+iYNVdrITDby9oQwJ8LbW4izajOT3gijibanCXVuIr6WK0Dm/wzj+nGPuZ3G9hXs/243F6Sc90kCjvaOsFhesRqOQUdLcOeuTEWXodWPv7R/sYEtpM5dOTOb2+Vn8dkoKH22r5KLxSd0uLx5lVDw+RE2dxU1mjJ7yZneXIAbg6z31nBGVz+pP3mL/ppUk5M5gwmX341Hqu0g4yGUyBttifh30KiNzrKjIbrd34wSaT2FhEa0tx9ZhOBKjMZis7CyG5+SQnZ3NsGHDyM7OJjk5+YRe9Gtqati8eTObN29m06bNbN22FYfdjkwmIz5lKMmZo0gZOoqUoaOJTcxAJg+kY8vyd/Hff9yBqbmWB+6/n3nz5pGbm4soioHjcPAg+fn5HDx4kLy8AxQUFuB2Be581BotWaOnM3LSAkZMmIsh+MS5xdZVFrFz/feUF+yhunQ/TfWBCRiNVsuIESMYM3o0QtY8yonk2hlppEQYaLR5ePqHAxQ02JGAmCAVfzt3BK0WO3/++iBXTE7i3tNHHPuNj4MkSdjcPhQygUe/O8APe2tosnedGpmWEc741HBunp1Bk82NJEm8u6mMF1cFJmrmZ4fz7ysndfseFpeXJqubuBBtuwdMYZ2FVqeX8SkdPimSJDHzqZU02zys/MMsooN/XnVzn8/PqId+wNYWV35x0xRGJYayr9xKca2dSVmhRIf0v0x290c72FrWwpc3TSdYr8bs9KJTyk6o3ktf+O+GMraVt3DphGQmp/ddhPDcv33Aj+++hCN/HYqQGIKnXII+Z1Z7WXVsXBjzh/S80fRYeD0uivO2cWDHWg7uXEtF8X4ARo4a3R7YTJ06FbU68DlKksS6vFb2l1v58O2/U211U12Uh6NgA4JCjaAMLKcIiUYdm4n94Dr0w2YRNvf3Pd4nrVLG6AQj+2utpEXoGRJjJK/GRF6NDYU8cNEfGmXg3tOHMSmt58e5yebmolc2UtFq55ppqe36M4fj84mMfmQp1jYFzYcWD2FbpZUhRxkTt3t8bC5pxuzwUNGWQZJ8XuwH1mDZ9iXehhKCY1MZtuC3pExYhCAItDrdROg1TEk6OY3/gwwMJyQjcyz0ej0jR45k5MiRXV5rbm6msLCQ6upqJElCFEUkSeryLyYmhuzsbGJjY09Jqi8uLo4lS5awZMkSIGA2lpeX1x7cbNy0iQ1LP0QURbQ6A0lDcgmNjGPLqs8ZNWo0q5Z9S1ZWVqdtjh49mtGjO5ctRFGkoqKC/Px8du3axZdffc07z96NIAgMGT6R3EkLGDl5PuHRif3+mxprK9i+5mt2rPuGyuI8DIYgYpPT8EUOYdIZv2fBtAlsalHy9jVTiG5T7txW1sLyA/XYPCLnjUng+sZAEDM1LZSnLxpNbLC2PRX/ytoKbp+f3S6j3hcEQSBIo0QUJdRyOVZX93YGjRYXMkHizXUlbC5twesTWV3YMXK87EAzBXVmMmM6l/GabG4WPr2cZhdMTNDzzvUzUClkDInp+sPwiRLVJhd+CfZVt57SQMbt81NrciEBscEaNEo5Z7+4DpsI6eEalt01uz2wt/uc7K40k19rY2ZuCBPT++fz9PcLx3R6fLRpsv9tLv+/9u47PqoqbeD4704vmfSekALp9N57VVSKHRXBwuqq2F3XtquuYt3XVXcVe+8gIiqg0nuvAQKhpPc2mUy/9/1jIBAJPQXkfD+fQMrce8+kzDxzznOeh9XZ5Tx6aRrRgU3fxuBUhqWFc6CokuvfXYME/HR3HzJiGz7Rutxe3l2ezdjOMSSENJx927t3L//859N8/+UXqC2hBI+5B78Ow5HUR3+fNRL0iG26Ss1anYG0LgNI6zIA+Ds1laXs2rycXZuW8/a7H/Diiy+i1WpJSkqhQ4cMYmJiqKysYk+elbWLZoNGh0rvR8gl0zGlD0albRi4eqpLcBVmocje4/LbTsQrK9g9CmM7xWBzeaixe9hR4Evwdnnhv9d2pmdC8Gnv/jpWXIgJk05Nj/jGv4d7S6z1QQzA8j1l6A0nnl0z6zR0iAlgV2ENNoeLA0tnUb12FnJdFYHJveh67f1EpvVq8Bzi8SoEnuScwoWtRbKbQkJCCAlpnpLtzUmtVtOxY0c6duzIbbfdBoDVamXDhg31szbbd2zh8cce48knn0SrPb2cEZVKRUJCAgkJCYwePZq//e1vFBcXM3fuXL7/fg4/fDSDb995mrh27enUdzSd+44iJiHtpMGdy+mgqqyQitICqsqLKC/OY+eGRRzYvQWjycTll13O6688x5gxY+gx/hZsm1ZTFtqVT3fLyDh54JvNfH57f1wemR+3FlBidXKwrI60SAu9EgLZlFvNqIxwqm0uogKMDbb4NlaJ94jCajuPf7eFZdkVJASb+O2hExenU6kkusYF8uHKxr8uAzaHlx93F5BV0nj13Arb8UXMsktqKT+89L82z0ZprbPR6fHvN+Yyc/l+7uiXgEYvMTTt7HOlTsUrK3hlBZ2m8RnG8lonby3Zx++7ipEV6JEQxKTe8fXT/xV17vogRpYVbvtkIypJzdTuyXy9qoCeicGnNXu56UAJV81cT7BZy4YnR5FZUM3aA+X0bxdKtd3N7E15XN8rnk5tAhs9fs7mfHKr7CzLKqsv3teSzHoVH63z5XgowKVvrkGrgs7RFt67pTeBJj1vLdnHl+ty+C2zhA+m9iLQpOXAgQM88+yzfPbppwQEhzF6yhMURfagSm74xK9XqxidHE2Qsfm6a/sHhdF72ER6D5uIoijkH9hFduYGCnP2sm3PXlau3YzRLwCn2kjUuEcIaz+AWo+Ch8Z/vub2Qymb+xL5b9+KLioZxe1EcTmQNBpUej8iQoNoFxPOZnswfu19f48er3K4gJ+vGGLvtsEs2lWES/bt3BqQHHZWpRFC/fT884r2VNpcdIjxvcDwygqlVgf+Ri0mnYaUCAvhflpKat1IwL0jk3l/VS52t/eENYbCLQaCTDpW713CpsXvE9lzLKnDJxETd3wtI6+sIEngr2+60g7C+UWkaZ8hi8XC0KFDGTq0aavFRkREcPvtt3P77bdjtVr55Zdf+H7OHH764T3mffZvAoJCMfkFoDOY0OmN6AxGVCoNNRXFVJYVUFNV0eB8wSGhDOjfnxn/fJTLLrsMs/noK9HvZr7GA19vQGvyZ3/2Phy6AKYN9CUyalQSQWYd+VV2Aoxa/Awa/Aw6TBqJf8zbg8QeVj46hM1PjuCHLQUMSw8/6XLDot3FLN1bgRfYV1aHLCuoVFL9evUfg7O+7UKIDtSTd8wujSN6JYZgd8scLGs8iNED3RupAJwQasakgjoZ0kN1hByTSyHLCnmVdiID9Dw9L5Mqu4cKm5N1j4864X06ld1FNRTXOMmI8j+uGzH4CtR9sOIgFTYnk3rHN2jMB76lhM/X5vDeioP1nztUYWfe1gLuGdKWLvFB9EtqOEXu8crYPTILsvIZlxHHnnwb6W1OXV59w8EqZKCyzk1xtZ1x/12J26tg0KgIMmkprXWxp9jK7L8OaPT4+0amsHZ/BWM7NU/QZ3d5ySysZmdBDbUOD/5GLRnR/mRE+fP+8v18vyn/uGPcMmzIs/LwN5t5d0ofLuscze97SjhQZqXbI18Qe+gX1iyYjdk/iIm3PsHASyeh1RmotDuxOlyU1jmpdbow6bR0ighC34K7WSRJIrZtBrFtT9xXbHNBOSsPFaOSJOpcHo5sTjrywsKcPgiNfzi2nYtwVxWh0hqQzIHg9aI4bdhLclmfvZ3q4hwkSYU5YzAysHZ/GfPvG4xJr0GSJBY/NIRfdhQyPD3ipEGMLCt8vymXELOWIenH/x7Eh5iJPzwT5vHKPPjNFlbuKyfYT8fr13chLTKAdU8c/Xtze2XiQsrJr7TXH9cYl62Gn95+nrZ9L6fPTU+e8HY2twc/vYZwv+YLRoXWJQKZ85DFYuGaa67hmmuuweVysWTJElatWoXVasVms9W/ud1uorv0o02bNg3eYmNjT5ronBYfzuz7RzNncz5P/PdO+nTvzOC0CbjdbjZs2MCEjml0ig0g1E9PaoSF2wa2pV2YifeWHwTAoNEQaNZzc/9T1/kYnBJO/3YFbMmrYUByKCqVhMPt5ZFvt6JVq5hxZacGsxIhfno+mNKLa99eQaXD99CsAm4bEM9dw1P4dPUh9BoVLtfxFTIyn7sEdSPZexH+BpY9NoLiGgcJIeb6HJl9JVZuem8NhTUu1IBJp0YNjM44dTXTE8kureWDFQeorHORFunP9OHJxyVGF1X7diJV1LrILq0l8XAPoyMzW06PzOacyuPO7fTCa7/vZ849AxrMtqhUEi9d1ZkHv93K/opqzGaJlbuqiA01YjH6/sQVRcHhlsmpsFFuc9Erwde3ZtrQFEIsenrGBVFW66qvSeLwyBQe3nq7Laf6hPe3b7tQ+p7hMpbHK/PY99uwOry8cnUnzCd4pXywzMbX63M5VG4Dydc/x+VRWJVdhp9O4puNhSe9zu7DtW/ahVt4fEgko26+n5qtC8jXm7ni5kcYPHZyg9pTQUY9QUY9cUHnd3+dlNAANhdU4PJ4ibKY6gMYh8dLnduDV1awJLYnLqULsqJgdbmRZQVZgSCjjhu7tuPbbfvZ/PmzlC94E11UMtqgaPKqnJRYXTir7KzYW8q/ftoNgEpRSBx84u/J1A/XsvRwP6pnrkhncr/j6+cckVVsZUlWKU63jNXp4cu1uTw9ruFSsFatol+7UD5fe+ikszLrF36P1+Omy/i7Tng9r6zg8HhJCg5Epz6/8ruEpiMCmfOcTqdj1ChfAmBTMmjVXNcrjm4/zMLl8i1XrFy5kqFDh7Jz506GZWTwj3/8g+lLl7JkyRJ6tw3h4dG+5a0zSbiODTLxye39GnzO7vKSX2VHrZJweeXjlldSIv3Z8OQYNuVWUufy0ikmoL4+xIiMCLbkVPLb7tLjrrV4dzFvL8tmUHIY9wxPaTDbE+qnry+o5/XK/LA5nxnzMymt9eXjePEVlXtrcjdGZZz97EK13U2Nw4Neo6a81oXLIzcIZNxemexSK7KsYDFoMOs1vP57FooCU/snEmTWoVWrMJ9h9dTLu8QyuoNvB58EfPx7PtmFdXRp649XVpj87kpWHqgmyqxmUEYUEf4G2h3e3nrl4Z1NHq/MJe3D+X13KT3iAlh1oOqk19xdWM3D322jb9sQ3B4X320sJMxPxzd39CXU/8T5Mqv3lzFrYz4K0LddMJP7Hh8QF9c4+GT1QYqqHSSEmht8D10emRVZJfUfH1mW+KMR6REUFRXxwgsv8Nbbb4NaR/Tgm5h04x20izz7YLW1mXUaEoP92FlchVs++vtl1KoxHJ4dler/8bUcqHW68SgKfeLC0GvUmHQaQkbfReHHWZT98CKRN76CRqvFT6/hf/P3UlhzdBt2cU3j9WqO2FVorX9/3YHy4wKZhTsK+DWzhHtGJBFo0mLUqrG7vGjUKiJOkHPTMyGYbXlVbMmtIiXcctxuRJfTwcp5X9Cm23AMlsY3SCiKQqXdSZhJT2KwX6O3Ef4cRCBzkUtJOVous0ePHmzfvp127XzLTP379yfy8AN+bW0tvXv35oMPPqB3796NnutYf/9uK4cq6/jklt7H9bcJMuv497VdUEmcsMmcWq2ic2wQJVZHg1mWtEh/nrisPf2Sitl4sJxN2SU4vfDiNV247VNfXZgNh6rxN2qY0r/xuh/vLd/Pa79nYf9DjYxqp5cdeTUnDWS8soJKOn5J7Ij0SH/6JAZzsLyOoalhx1XUXbiziHnbCnC4ZUBh1oZcal0edGo1BdV2gsw61CqJCV1j2ZRTSUH10SU2owbuHppEckTjD8rHBoSxYQYOFPsCmbJaJysP+GZVCm1eOkYHNpojpFGreOumnni8Mhq1irzKOvIqbLRvJCkaYObS/WQW1JBZUFO/vGGtcNDj+cX839Udya10cH3vuPoOzke0jwog3F+P2yPTP8k3m/PH7swr95WRV2knNcL3JObxytQ6fUsEOo2KQanhlFrrSIn0p9LubRDI+OvVjEuzULPsYxKv+x8qlYaRV/2V4eNvwWg+/fon57NesWGU1joornVg0Wvqg5k//loqioLDIyMrkB4WSHp4IAA924Szr7yW0Cv+RtFnD1Hx+0ym3v0gYf56bugTzxdrDzG2QziXZoQwttuJZ1gA3r2pG1e+tQajFp69omHBwP0lVqZ9thmAbzflc033GNqFmcmI9ict0sLU/gmNnlOnUTGuSwylVifZpbX1DTgBCvbv5pPnH6CqtJiek59t9HhfEOPCqNXQPkLMxvzZNdn2a+HPraSkhFdeeYUJEybQt2/fU95+yMuLqHV4+OnegUT4n/nOn1qHm4H/Wkjl4Q1MU/vFMSYjgt5JjW+fXJ1dxvXvrq3/eFznSP5zfff6j91eGY1KosbhZsr7a9mcV9PoeaL89Xx/V38ij9mtpCgKO/JrWLO/nJwKG0adhp4JwfRpG3zCooBHcoH++Lln5u0ks6CGzTmVWPQausYFggQhZj39k0PpnxRGqJ8eWVZYnV3O8n2leGWFlAg/usYFEx9iOq0aPnvya1m8rYKbhsYgIdN7xm9YnTL+ehXrnhhVv7x2LrbmVPLgN1vZ10jO0pFk8D6JgXz1l+OLnvl2KvqWxf63eC/fbMhlXJcY7h+ZitXh5sVfduPyyhRU1RFi1vPD1qPLSFP7xeNv1FFYbceoVdMpNoCX5++m0u4iQuchrWwFX3zwNl5FYcjlUxkxcdoFUZDyTFXZXfy2L5/iWl8lXKNGXd8vSFHA6ZVxuL2oVRLJof4MToxAe8wTel61jQ15pexfPpu9c/8DQHhEJN26dmVdjQVVWFsSUjKQLBFEBup568YexAQdzVlxOF08MnsHN/dNoHtCMIXVdrJLbCgoJIX7ERVg5NsNh3j4ux31x4SatajVEq9f143ep7GN+0CZjc/WHCK3oo7oAB3bFn7L3HdfwhIeR7+pzxIYffyLFbdXpsrhwqzT0CUqmAi/86uEgnD6Wnz7tfDnFh4ezksvvXTat3/zhq4UVDnOKogB+HFrQX0QA/Dhqhw+XJXDqIwwbuyVwKA/NILsGheIRUt9Ib07Bx/dvbDhYAUvL9jDkNRwVu0tOmEQA76k18/X5PDg6NT6zy3bW8b3m/JwemSMOhVWh4fvNuayu7CGKf0TGg1mjgQxbq+MV1bQa1RIEmhUKjRq3zKWQadmTXYZR0rmrMoux3SFlpEZEahUki+wST67bdTxYUYkCQ6V1PH+6n1E+Rt5ekg7RneIapIgBqBzXBC/PTSEto/+dFxPnyOvjirrjl/yAQ4XwvS9v3BnMXmVDhbsLOL+kalU2txYnR4y86vZW3p8kLQ6u5zRHaLwN2ipsLno2y6Ub+/sz5rNO7jj2rGsrbUx5PKbGXnlX5q1LlNrCzTquCy9DTuLq9hbVkOF3UWd++g2Zp1aRZtAE2lhgSSH+qP6w3RNbICZ2AAztH+AsvFXkbNve32BzJpda/HUVlAGSDoTuoi2jJibwdtP/JXBgwcD8Nay/WzJrWR3QQ0j2kewLKuUPUVWPDIMTQ5iSHoUL83fVX89kxosBg3towNJizq9F8TxwUaGRbl54duP+HzuN9RVldJ20FV0nzgdre7oTJ+iKDi9MjaXB0VRiLIYyQgPJEBsub4oiEBGOC2FhYUsW7aMcePGYTCcOvu/Q3QQHY4vunzaDLrGZx0WZpayMLOUj6Z0Z0ja0TwHg1bDpn9ewsFSKwfK6mgTfDSAKq5xUOfyUFBVR94xJdiPiA3UkxjmR2mNE6+ikHTM0k15rZP5OwpRSZCZV86hKjdqfDM+OwqqWX+wgmFpx/cFkmWFpVklLNlTiturkBppYXzXGAanhlFa62RQihan28uyY5aO7C4PHWKaZsbToFMT7KfhmzV5/LS1gPAALWnRAefUPPJE/nF5Ov/48egTllkDV/eIY39ZLX+7JP2Ux98yIJEv1+UwsWss4FsekfAlaWeX2dBIcGxud4OcKsnXKVqv1PH3O25Ebwrgkf/8TEBwy/Zqai0GjYbuMaF0jgwmr9pGpcOFV1bQqlVE+hkJ9zOcVk2u0Mg4QiPj6DZgLOCrrnswL4+Pf/sdV3E2ruL9HNy4nCFDvmHChIm8+uorTO2byPK9ZZTWOPjfkv0Nzrf+UBW7S+qoPaaBld3rK6w3rmsMAUYtizOL+G5jHjOu7IhJp2bfvn1kZmaya9cuMjMz2ZmZyZ49e3DY7ZjMFjL6jSW692XIwQlUu2UUt6N+5k/ClyQcYTbQJtBMlMWIupUqpgstTwQywmlZsGAB9913H6NHjz6tQOZcXdoxmo+W7WVroR0VkB5hZGfx0aTD+77ahNMD/xqfwZU9EgDfA9nm3GpmbcpjZXYFT49rD8AlHaKIDTLRNszMdT3bcPP7ayirO/rKtXt8MM9N7ARApc3VIH9kT7Fvd5HL7eZQlW92wQv8uLWISztHs+FgJcPSIrA5PeRU1BHlbyDQrGNjTiWzNuaz7kAZNqeXznFBKIrC5L7x+Bu05FTUsTyrhFADlB2Ore4bnkxUExXg83hlZm/Lo3ebMBwy5FS6CTE1nDmyOd0UVjtoG3r6rR0ac3P/tnRpE8h7Kw6QHunPnUPPrDvyFV1iuKLL0aq5YRY9wWYdGrWKu4Ym4XR7+GLNQWrd4K+T6H94l1SFzUWYRY9ZozD28omUlJbz8L/nXDRBzLE0ahUJwRYSmuh8KkkiMTaW/v2Hs6WwOzoJru6USP7m3/jhwxmkpafz0IMPktFlPJ81sqvN6lKwuhqWUFCAfaU2VmblMzIjgnu+2EhZ9jYWv/8vCrcuo6rKt1PPzxJIZFwSEbFpXNbzciLbJJHcoTc6gxFFUahze7A6PfU7tFSShEmrxk+vxU+nEX2TLkIikBFOy5QpUxg1ahSBgYEAbNiwgZkzZ/KXv/yFHj16NPn19Bo1c6YPpdbpwahVU13npvtzv9V/verw1uwHv9vJxO7x9Q9ePRKDWba3lKFpRxuEqlQSnQ8XdHvxl92oVGou7RBKaa0TP72W3m1DMOvUSJJ0XPKxyyOTX2Wnyt7wQdmNb7u0zemh0uZk+pebWLO/guRwM29P7klWkZX9ZbX1SaibDpUTF2zC5vLSuU0gndsEkhTuR6BJy7bcKrxIjOhwNMn4RHV2TpfV4cHp8aI9JkB54KuNfP4XXz0YWVb426xt7C608pfB7bi6x5lVkVYUhaIaBxEWg+/7GxfMG5OaZhnHoFXTOzGYWZvyCTJqWJldTp924aRHH10ecXq82FweLkuM4q4772D1mjXc9/wXhEWdeW8poXGSJDEyOZZBidFo1BIalYqYoePp1GckC799i5dfeRWN6V3Uib1A8YIso8gyKF7f/7IXFBltUDSmtAFoI3z5LO/PWUrNss/Y/8Gn2KvLcIbF0Gf0DaR16U9UXDKWwNAT/t5LkoRZp8WsE8XthKNEICOc1K5du1i3bh2TJk1q0KDT39+fffv2nXY147NxpHUBQIhFz4bHhzNnSwFqSebpeXsaPaZtqB9vTure6NcA1h0sx+WF/knBBJuNWAxaeiQE4XJ7SH1qIQBXdAzh9Rt8PZvCLHq8ioJFrwOOBjPJIQbsLg/7y2qZ9vEGNuRUoQCZRTaWZZWi06jRH7MEoteoUaukBom66VH+pI9tj9crIysKWo0al0fm2w25/LS9EKNOzW0D2p5VDyE/gwaPrKBWqeqn31ceqCavso7YIBOyolBj9+D0yOwsqMG8vYDoABOdYv1Pub2+zunimrfXYHe5uHNoKledYRB0Ovq0CyWz0MpvmUVkl9SSV2mnfUwAiqJQ4/BQUGWnY2wA6+Z9yqeffsLUh/9Du/Y9m3wcFztJko7LqTIYzVwx+SF6jbiat994mor8TF8rBElV/z8qNSqVGpUEtu0LqV77HbqgKGQkPJUFfBAcRp/Bl9NzyDgSUruIWRThnIhARjipmpoapk6dSqdOnejatSurV6+mZ8+epKSksHjxYgAeffRRMjIymDx5crOOJdRi4LaBbVEUhewSK8v2VvDK1Z3O6EHw+fGd2JJbyQ19Gm4p3ZF/tBbG3O3lvH74/ZQICyPSwsksqCEjyp+iqjpMOhV+RgOgcKC0FlmW8dOrsTq96DQQHWgiLtjE5pxKvDLYPR7ahvrRr11Io4m2arWKI5/9ZXsBryzYTaXdlwF8oLSWmTf1IDnizIq0adUqHhqZTGaOHY1KhVv2JZkcmXHSqFVM6ZfA//2axW+ZhczfUYheoyY9yp9HL0klIfTEdTdeWbCXHYdrh1iMzbOtNcCoZUq/BLRqiS/W5uCv15BVbCWvrIZDFXWM6xJDnyAHA558gmHjb6XX0PHNMg7hxCKj45kw/RV+yWpYXVkFhPsZ6BodTPuIIMqsNnZvXU32+l/RqSV6DL6ClE59UKvF04/QNM7r36SCCgdOt4yfQYO/SYNeK5K3Wlrv3r2pqKioX1IaP348o0eP5pNPPgF8SwwlJSXExvoSNQ8cOMBXX33FX//6VwICzn3La2NLLJIk8a+JXU90yElN7NGGiY3MIKRHHR3rrX2P5mto1Spu6pfA1+tyySq24m/WowBmg5pLO0TRMcafWqeHjm2CWLu/nIwof4akhKFSSdzSP5G1Byqwu72kRvjR7zQq4C7fW14fxAAUVNnZW1J7xoEMQJtQsy+QUUu4Zfjh7n4Emny7OCptLt5amk2x1YlJq0KtAgmFTYcqeHLOTmZO7o7pBI1Ah6SG8NGqgxi0EoNTmq+bcJBZx11DkxjXJYasYitWh4f7vi4C4JM1OSx48TmCw2IYd/MjzTYG4eQywgNxeLxklVZhc3tQIREbYKZTVDDR/iZUkkRkgIXIQaMYMqhpi3oKrc9mrWb2+89RXpyLVqfnmjueISyq5Xuundd1ZOZvKuXg4QRPlQTDOoWQFH3i3htC89u7dy+JiYloNI0/yf3www/cfvvtHDx4EJPJxOeff06bNm0YNGjQGV+r1OrkyTnbqba7efqK9qScoDDb6aqxu7A5vUQ1UgzuVDxemc2HKvl+Sy6XdYymfUwQAaamX1Z7dcEe3l66D/cxu3ReubIDV/U889yP3FI7P20opcpr5dJOUXSKO5rD8vmaQ7yxaC8GrYq8SjseGXRqiZhAIw6PzGOXpHN5lxNvO3N5ZNQq6aQNQ5uayyOT8sQvAFSv/Y6aZZ/w4Mvf0Tb9xEuJQvNTFIValweHx4ufToOxBXtTCa1r3uev8dust5gwfjxr1q6jvKKKO556r8n+Jk+3jsx5PcUxumsok4fFMLFfBG0jTfy+rZwDRXWtPayLWnJy8gmDGIBx48ZRWFiIyeQrUf/WW28xd+5cAMrLy3nnnXdwOn25JgUFBRw4cOCE51qeVcpvu0tYf7CSD1ae+Hano7LWQaenf6XvC4v4Zt2Zn0ujVnHdu2v4Yl0+D3y7tVmCGIDre8fRLykUi/7oks2ZtIQ4lkbtCzL+MiSlQRADvp5QvjwZN57DQZPLq1Dn8iLLCntLrX88XQM6japFg5gj15w/fQDj4z3YVn7B8Am3iyDmPCBJEha9ljCzQQQxFxG328mKXz5j6pQpfPnll2xYv474NjHM+/TVFh/LeR3ISJKESa8mPEDPsE4hJIYbWby9HLfn+IaBwvlDfUz10OXLl/Pcc88BsH79ev76179SVVUFwBNPPMGkSZPqb3vDDTdQV3c0UI0LNhJk1GLSqeh2eNfR2Tq2MFtm0YkL4p2M6XBtm7izmNE5XdGBRv5zXVc+va0PE7tEclXXKCZ0iz2rc/kfDrbyymw8NWc7X645VL9U58vVkdD8IRhRq3yJwXrN+fnQkBRuZvn7/yI0Ko7Lb3qgtYcjCBet7Wt/o7qilPvuuw+AkJAQUlNTju+T0QIumPBZpZLomx7E50sK2FdYR3qb028CpigKVruXKpubiEC9yLVpQZIkodf7mjWOGTOG0tJSLBZfvsdjjz2Gw+EromKz2fjll1/YsGFD/TJU94RgvpzWF6fHS9o5Liu1Dbfw+JhksstsPHFph1Mf0IjtT1+CLMtnPUNyugJNOrqYdHS57txmG8wGNSa9mnlbi/lsTQ46jcSgtDBiAk0MSApl3rYCVIqKAIOM3S1j1vlmWfRaFUNOkPuyu6iGVfvKiPI3MiwjHL2mZXvYfPjhh2zZvImHX/2+QWVXQRBaVkVJAWazH6mpR6ugt2vXjiXLVrX4WC6YQAbAYtQQF2YgM6f2tAMZWVb4YW0xxVW+Ds86jUTHBAudEvxFQNMKgoKC6t9PSkqqf99sNpOTk4Ofnx+yLJOVlUVaWhpJ4U3Xtfb2ISmnvtEpNHcQ09S8eKmq9SDjKw9vPpzA26dtMCPSIliQWYxRpyHAKOHyKihIjOscTfuY4xO1q+1u3lqSzaacSgIMWvyMGgYmhx13u+a0ZcsWYhJSSUjt0qLXFQShIXudlYDDm0CO6NWrFy+99BJV5cUEhrRcYcoL61EZaB9nobTGxbqsKryygserkFfmYFduLXsLbBwsrsN5TKZkZm4txVUuhncO4dqBUaTF+rFlv5XPl+SzYW81LrFMdd7w8/MFLR999BFdunQhPz//FEecvzweDzabr09QdXU1mZmZeL3eUxzVtLbnVbLmQBlRFhOBejUL7xtcv2tJpVLx2KXpPDAyhc5tAgm1GOgRH8zfxqQxfXhyo+dzerxYHW5QwO72Ync1zf2ptLk4VG7znfsUcnJzCQw9cXdyQRBahr22hgD/hi94jhRHzd23o7FDms0FNSMDEBdmoEdSAJuyq9mTb8Ph8jXlO5ZGJZEY6ctjOFBkJy3WTPLh3U790oPo0tafLftr2Ly/hh05VnokBZDexq/FkxeFxt1www1EREQQExODoihUV1fXb/8+lizL7Nq1i6SkJPR6PR988AF79uxhxowZrT5zMmXKFDp06MCjjz7KsmXLuOKKKzh06BBxcXEsXboUPz8/undv3kTV53/KZFdhHe0jgphxeTcCzQ0b6Gk0Kq7sHsuV3U8vByfMT89V3drw8/ZC2gQb6R4fdOqDTsLh9jJvWwEbDlZid3uxGDQMSApleFo4Mr6mh3+sEVRSUoLJL6bxEwqC0GLqbDUEBjUMZCIifLMwdbXHt61oThdcICNJEj2SA0iIMLLjkJUgPy2xIQaCLFq8soLdKZNdaCMr34YkSXROtNA5sWF+hUmvpl96EJ0SLKzfW82KzEpW7arEz6jB36jBYtJg0qvqt5eqVRIqSUKl8gVJgWYtwRbtOfWnEU5Mr9czdqyved1XX33FQw89RF5eHpIk8Ze//IXExEQeffRRCgoK6NChA3PmzGHcuHHIskxxcTEqlQpFUVi6dCmDBw9usaqh93yxkS25Vcy+sx+DBg3CaPQF04MHD2bZsmXExfnqKzzzzDOEhoby9ddf43K5eP7555kyZQoJCQlNOp6tudXUeRQ2FpSgU0cxe20BE3pFnXWQJ0kSl3aKYlh6ODq16rR//zMLqpm9KZeHR6ejP6Yg4LxtBfyaWYxZp0GWFWwOD5+uOci/F+4hJtBAu3B/7hjSjlA/ff0xaampLF+37azGLwhCE1IU7PaGTXiPVHp3u52NHdFsLrhA5ohQfx1DOjYs3a5SS2hNKrq2C6Bru1MXY/MzahjaKYTOif4UVDiw2j3U1HkoqXJid8nIsoJXVpAVBe8fVqA0aonwAB2RQXoiAvVEB+vRnqc7PS5kI0aMaLCzKSkpCbPZN7sWGRnJ/PnzGTx4MAC33XYbt912G+DbITV06FAWL17MkCFDWmSsi3eX4nB7+W1XEdOmTav/vL+/PwMHDqz/eMGCBfU7tw4cOMAbb7zB2LFjSUhIYPHixdhsNi677LJzHs9fhrTl2w0F3DsqmZmLDtKVUP47/xCJkQZ+2J7H1T3aMKp95KlP9AeNVSc+mTs+3UiFzYlWra7vhl1d52bjoUrMOjULdxZS65IJMqqptPuWq/aX2sgqrsWoVfHAqNT6YLRbt2589fU3eL0eURlWEFpRRvdBfPjybPLy8hoURAUICT+7nZZnSzwSAMEW3wzLySiKgqKAx6tQbnVRVOWiuMrJrtxaNmXXYNSp6JkSSFqsub6xnXDuwsLCePnll+s/fvjhh+vf12g0jB49utHjevbsycqVK+nbty8AP/74I6NHj0an0zV6+6bwr3EdWL63hHS9lUWLFjFs2LBGb6fRaAgN9VX5TU1NpbS0tP5rX375JdnZ2Vx22WUoisKvv/7KwIED62d3zsS9I9K4d0QaADZ5Dz/sOsTVnePJK3aTHhTCjkNWhqdFoFY37+/rFZ2j+HFbIRO7HV0SqnG4sbu8yIpCrcv3KuFIEAPgUSC/2skbi7ORJLi5XyK7Cq1Et03D5XRQlJtNTELqcdcSBKHp1FZXsGvLCvQGE34BwcS164BG63sMdbucSJKEx3O0Evm2bb7Z0pjEtBYd53ld2fdCoCgK1TYPG7Or2VtQR4hFS9+0IGJDxdbQ80VOTg4pKSm88847x/WDslqt/P777wwaNIjg4GA++OADfvzxR77//vvjzmO1WsnNzSU1NbVBrZw/evDBB5k3bx579jTe2PJUrFYrFouFzMxM2rdvz/z58xk9ejSzZ89my5YtPPPMM2d13iMOFttYuqsCh0OhbaSJEZ1DWrxpn83p4cX5uymxOliRVUqtSybAoMLulvF64dg04oRgA+3CLKzcX06sUeb3xy/j5gf/TZ/hV7bomAXhYiHLMovmvM8vX71OXe3Rulsms4WM7kPoP+Y6vvrvE/Tp0Zk5c3yPlXaXh8l3P8zCbz/jxS82Nsk4/hSVfS8EkiQR6KdleOdQJvSNQKOWmLe+hKU7Ko5LQhZaR1xcHFu2bOGmm24C4K677uKpp54CoLi4mAkTJrBp0ybAV9TpSC6Lw+EgJSWFWbNmAfDtt9/Svn37+t1H06ZN49577wWgrq6OYcOGsWjRIp5//nmWLVt21uM9UmcnPT2dzMzM+qWxvLw8duzw7QaQZZmePXuyaNGiMz5/QoSZm4e0YVSXULIL69iTbzvrsZ4ts15D/3ahbMutps4lo1FBfIgfo9tHof7Do1K1w8OOgmpcbpl8u4rouERyWnhXhCBcLLxeD5/8+0Fmv/8ck2+cRG5uLoWFhaxfv55H//Yw1UVZ/OexG/A4rDz77NEXVc//vIvfV25AHdryvZbE0lITigjUM75PBLvybKzYWUFlrZtRXUMx6Vu2aJhwvLQ031SnoihYLBa6dvU1nUxMTKSoqIjwcF8BuHHjxjFu3DgAysrKuPXWW0lP9+V1jB07lpUrV9YvT/Xq1au+XYNWqyUyMhK9Xo9er6/P3j8XkiTVXxtg+vTpTJ8+HQC73U5KSsoJd3NJknTKWZboEN+sYWsthA5IDsWoU6EAXhkMWhU394tnT2E1WaVHKzwHmbSYtWocbpmubQKo7tGdzL07W2nUgvDnZK0uJ3PjUlYt+JrszPV88cUXXHfddfVfj4yMpEePHjz22GMsWrSIjh07Ehl5NMdueFoYr5YcIKnL4BYfu1haaiZFlU4Wbi7F36RlfJ+WKwwkXHy8Xi91dXUYDAa0Wi3ffPMNU6dOpbCwEH9/f5YtW0ZgYCCdOnVqcNyhEju/bCxl0uBo/E2t85pm9qY8Xvx5Fy6vzAdTetA1PoSr31rJ+kNVqIAIi46MmAACTTpKrU5SIy14Ns/hxRkzeOWb7a2+zV4QLkSOulpy9m3n4J6tHNq7lZx92ygrygOgT5++PPnkE1x66aVnfN4+fftS41Az/fkvmmScYmmplUUG6RnUPpiiSifZhaLRpdB8br31VjIyMpgyZQoAnTt35vnnn69fovr73//OSy+9BPhmpLKysgCIDTUwsW8EFmPrzRhO6BqD1emhxuFhxb5yANKjAwg0auiREESnuCA8ssyKfWWE++vJq7QTHJeKva6WsqKcVhu3IFxoFEVh65pfeWH6WB64ugP/9+h1LPjmdcxSLTffcC1fffUVubm5rF696qyCGID77r2XXVtWsvDbtzmNOZImI5aWmlF8uJG4MAO/binjQLGJfulBYplJaHIZGRksW7aMESNGAL6dUMf2P1m0aBE1Nb6EvXfeeYf777+fFStW0K1bN8ID9Y2es6VIksTA5FC251dzeRffrqanr2jPPUOTmLetkA2HKtlbbKXa5iKvwkagyUB8agc0Gg1LfvyYa/7yj1YdvyBcCOavWsnCz17EfnArI0aM4J+PP0jPnj1JS0s76caF0/Xtumxe+iWL58f15e9//zszZsxArdUyfPytTTD6UxOBTDOSJIlLuoeRVWBj9a4qPl+ST0K4iZQYM7GhBlFJWGgSPXr0oH///vUzMn+k1+sJC/P1RJo8eTKDBw+mTZs2LTjCk5s5uSfb8qpYvKsEi1HDiPQIwvwNJEdYWJVdRrXdi8sLxTUuYoLMdGoXy6uvvsq9995LbGIa/UZd29p3QRDOW7989QZzP/03mqAo2t3wDAs/faJJdylW2pw8PHs3ALd/tYNdzzxLaWkpX3/9JkMum4xac/LSJk1BBDLNTJIkUmP8iA8zsjvPV3H4l42lGHQq2kaYCPLT4m/SUFHrJjPHilolYTaoMRs0mPVq/E0aIgJ1BPlpW3yLrHBhGDZs2Alr1vyR3W6vT3w+X+RW1PHRyoNszqnET6+lxu7hlgGJ9EgIIqu4hvUHK7BLYNSquKRDJPEhJu655x62b9/OR28+TkRMW9q179nad0MQzju52Tv48dNXmXz7XZSlTeCJsR2QJIm3luyl0ubm0UvSzjnPzP2H3bk2l5uJEyfy3nvvUVNVRlAL9EYTgUwLMejUdGnrT+dEC+VWN1n5NnJL7ezOq0VWQCVBSowZnUaFzeGlps5DQYUDm92Lgq9rd3ignohAHZGBesID9aJ7twD4kn137NhBVFRU/e6rxkyaNIkVK1YQEBDAli1bmmRK+Wwt2VXE5+tyeOry9pTVusiptFHn8uD0yORW1KEoCgatmin9EukeH8zBMhs9EoKICTLVn+O///0ve/Zk8e7zd/DI/80lOFz0YBKEIxRF4eu3niItPYP33vx3ffsAWZb5eNVB3F6Fyf0SiD3mb+pshFsMjEkNZv6eCgB6/Ot3ror15YXaaipFIPNnJEkSof46Qv11kB6ErCjYHF40KgljI/kzbo9MSbWvinBRpZMdh2rZuM+X7xDkpyU+3Eh6rJkAc/NP3wnnp8zMTHr37s3KlSsbBDJ1dXU89dRTTJs2jZSUFO644w66d++O2+1GrVajKAp9+vTh/vvvb7DNsiXc+fkm7B6F3Ir1fHZ7XzpEB+BwyViMWjrEBtTPPr722v8RFRXF9ddfj8fjYfny5fTq1Qu9Xo9Op2PWrO/o0bMXM5+9nQdfmY1OLwpRCgLAukXfk525kUWLFtUHMQAqlYrresZTWeciOqBp/l4eHtuB+XuO1s76cofvOaq2pqJJzn8qIpBpZSpJwmI88Y9Bq1ERE2Ig5nDND0VRqK7zUFzppLDSSWaOlS37a4gJ0ZPRxkJChFHk3lxkIiIiWLRoEV27duWbb75h8+bNzJgxA51Ox+zZsxk4cCApKSkMGjSIQYMG1R/ncDgYOHAg8fHxACxbtoz9+/czefLkZt/WnBhqZk9RLQOTwgj10/OXwe0YmFzDwV1b+eqFBxj/5Zeo1Wo2btxIcnIyAJs3b2bQoEGsWrWKvn37MmfOHHbv3s3cH+bQrVs3Vv/2LYPH3tSs4xaEC4G9zsr3Hz7PNddcy9ChQ4/7+n0jU5r0en8s/qo2+rZK11ZXNul1TkSsTVxgJMnXfTs11o8hHUOYPCyGYZ1C8Mrw65YyPlucz5o9VVTb3K09VKGFhIeH069fP1QqFXv37qWy0vfgodFo2LdvX32Bvz8yGo288sor9f2ofvvtNz755BOqq6tPeK19+/bRpUsXdu3aBcCsWbN44okn6r/udp/e791P9w5i6z9H8fjl7bnyyitZ8vMchqdH0KlNEKUlJZSUlADw+eef889//hPwNYzctGkT3bt3ByArK4s1a9bQuXNnJkyYyOIf3keW5RNdUhAuCmVFObz2t2vxuOy88srLpz6gCSRHWEiPONoPbuqgZLRarZiREU6PRq0iJcZMSoyZCquLzNza+lmalBgzfdMCMerElu+LxeOPP97g4zOZWXnmmWdQFAVJknC73fXT0fPnz2fHjh089NBDtGnThs6dO9fXiCgoKGjQUyo5OZm7776bhx56CKvVSnl5OfHx8cclqhcWFtZXBT12B1XPnj1ZsmRJo+NTq9X1FZkBHnnkkfr3H3roQWb17cv2db/Tuc/I077PgvBnkpu9g/88dgNhocGsXLGixXYnSpLEz/cNpajagV4jEexnYGZIKLU1YkZGOEPBFh0DMoKZPCyGgRlBHCyu4+tlhezJr23R4kTChUuSJIqKisjIyGDevHkArFmzhhUrVgC+rdwff/wxGRkZANxzzz18++23gG/Z84knnqifyv75559JTEykuLgYgKVLl7Jq1SoArrrqKqZNmwbAa6+9xvXXX39O4+7Tpw/9Bwzkk1fvZ95n/4fL6Tin8wnChUaWZWY+Ow2btYp/PfsMSUlJLXp9SZKICjQS7OdLgwgJDsYmZmSEs6VRq2gfbyEx0sSqXZUs3lZBVr6Nge2DCRRJwcIphIaGcssttxAbGwvAE088Ud9T6mQkSeK2226r/3j06NEsWLCgfublscceIzExkX79+vHss88SGhrapOP+fvYsZsyYwZv//S+KInP5TQ826fkF4XzXsc9Ilsz9iBtvvJEBAwby+++/1feGa2lhYWEtNiMjei1dBHJK7SzfWUGd00u3dgF0aesvEoKFFuf1enE6nZhM57bd81SmTp3KL78u4R/vLBG1l4SLjsthZ//ujfz3H1O56cYbeP/991vl7+Dqq69mZ3Yx05/77KzPIXotCfXiwoxcMzCKjgn+bNhXzXcrCimsEFPvQstSq9VNHsQoisK+fftYuXIlM2fOZOTIkXz22WdUlhXhdIgeZ8LFqawoF//AUD788EN27NjRKmMIDQ2lztoyMzJiaekioVWr6JMaSHKUiaU7KvhhbQlpsWb6pgWJwnrCBWvu3LmMHz8e8CU2p3Tqw1XT/kGXfqMxGM2tOzhBaGG11RW8+dRkcvbtYOTIkdx222t06NChVcYSGhoqdi0JzSPEX8f4vhFk5tSydk8VBRVORnYJJSygddZRBeFcrF+/noDgMKY/9wWBIRGY/AJae0iC0CpkWeb1xydhrylj48aNDXb4tYaQkBCsoo6M0FxUkkSHeAtX9Y9Ep5H4fnUROw5Zxc4m4YKzffsOohPSiI5PEUGMcFGTJIk6Ww1XXHF5qwcx4JuRcTntuBz2Zr+WCGQuYgFmLeP7RJLexo8VmZX8trUcl1sUFBMuHDt37iQk4vzp5C0IrUWSJHoNnci3335HXl5eaw+nfldiSywviUDmIqdRSwxsH8yILiHklNiZtaqIshpXaw9LEE7LoEEDWfPbd/w2+50WeeUnCOezgZfegM7oR7du3Vm0aFGrjuVIhXGdoXl3KYIIZITDkqLMXNk/Eo3at9SUmSOWmoTz39tvv81tt97CDx+9yD+nDaGqvLi1hyQIrSYoNIpHXvuR4Ogkhg8fzsCBg/jkk09avHVHVVUVTz75FImpnfHzD2r264lARqgXaNYyoW8kqTF+LNtZye9by3F5xFKTcP7S6XS89dZb7N69G6/LzpIfP27tIQlCq/IPDGX6vz5j2uNvU1Lt5uabb2bz5s0tdn1FUbj55ikUFpcw9ZE3WuSaIpARGtCoJQZ1CGZ45xAOHV5qKhdLTcJ5rl27dvTv35+i3H2tPRRBaHUqtZqu/S/hhukvAFBbW1v/NVlWKK52NNuM+0svvcTcuT8w5cHXCIuKb5Zr/JEIZIRGJUebubJfJBqVxOzVxezKFf2ahPNbSEhwixXgEoTzndfrYd7n/0alUhEREVH/+Sd/2M4Vby7n3eX7m+Q6eeVWEh79iYRHf+LXX3/lscceY8y1d9Ox9/AmOf/pEIGMcEKBflom9I0gJcbM0h0VLNpWjlssNQnnqZCQEOy11a09DEFodR63i/dfuIvNK37mq6++Ii0trf5rdS4vsgJ2l7dJrvXNhhzfNWvKuPb6SaR27sflNz7QJOc+XaIgnnBSGrWKwR2CiQrSs2xnBUWVhfRPDyIhovkz0QXhTAQHB1MrZmSEi5zH7WLmv24na+sqZs2axfBRY/jXjztIDDEyqW9bXpjYiawSKxmR59Y3scLmIr/Szp1DUvh41UEO/vIKWrWOqY+8jkqtbqJ7c3pEINPMah0eTHo1qgu8eV1KjJnwQB0rMyuZv6mMuDAD/dODCBDdtIXzRFVVFXW1Na09DEFoVfkH97Bj/RIef/xx+vTpQ8ZDX+NxO9FYQtiSW8XL13anY0zgOV/nrSX7yCysYWq/RO6NL+bWgzu4/8WvsQSEnPudOEMikGlmv2woxWr3EBNiICbEQGyogQCT5oLsyhto1nJpjzAOFttZuauSr5cX0qWtP13b+aNVi1VKoXV4PB7uv/9+3nzzTYZPuK21hyMIrSqyTTv8/IN47rnneO655+o/b8oYzJKAvzfZdcIsegKrtASZtNzzyqt0G3ApKR37NNn5z4QIZJrZwPbB5JU5yC93sGpXJbICZoOa2MOBTUyIAbOhZafhzoUkSSRGmogNM7A5u4Yt+2vIKrDRPy2IhAjjBRmgCReuiooKrrnmGpYsXcp1d/2LwWNvau0hCUKr0htMPP/pWkryDlBaeJAVB0vJyVxN7bbfeG5sUpNd59YBbal1eggwaqmsrCSp+5gmO/eZEoFMM4sM0hMZpKdHcgBuj0xhpbM+sNmTbwMgyE9LTIielGgz4YH6Vh7x6dGqVfRKCSQ1xszKXZUs2FxGm1AD/TOCCBTLTUILWLVqFTfeNJmy8gruefZTUjv3a+0hCcJ5QavVE5OYRkxiGl36wZa10czc9BP+rlKgXZNcQ62SCDD6HuudDgdabes9d4lApgVpNSriwozEhRkBsDu95Jc7yCt3cLDYzo5DtbSNNNE7JeCCyT0JMGu5pHsYh0p8y03fLC+kc6I/3dr5o9WI5Sah6dlsNh5//HFef/11EtO68vC/PyIsKq61hyUI5yXZ62XBl6/RsVNnevTo0SzXcLqcaLS6Zjn36RCBTCsy6tUkRZtJijYjKwpZ+TbW763m6+WFdEyw0Cc18IJYqpEkiYQIE7GhBjbvP7rc1DM5gJRoMyrV+X8fhAvDkiVLuOXW28jPL+DK255g6BVTW3yHhCBcSNYu/p6DWdtYuXIlGk3TP+UriuKbkdG13oyMeMl8nlBJEmmxflw/KIoO8Ra2HrBS62iaff4tRaNW0TM5kGsHRhMRoGPJ9gq+WlbI7rxavLIopiecvYKCAu68806GDh2KxhTC42/+wvAJt4kgRhBOoeDgbpKSk+nXr3mWXj0eD7IsoxGBjHCERq0iNtQAwAUwGdMof5OGUd3CuKp/JCH+WpZsr+BrEdAIZ2HdunVMuuEG4uPj+fiTz7j2zqe574WvCY9JbO2hCcIFQac3kr1vHxMmTGTx4sV4PJ4mPb/D4QAQOTJCQ0ad71VmhdWNn+HC/RGF+usY3S2M8hoXG/dVs2R7BRv3VdO9XQDJMWbUYslJaITb7WbWrFm89tp/WLt2DeHR8Yy/5TH6jbwao/ncingJwsVmzHV3ExQWze+z32HOsGEEB4dwxRWXM2HCBEaOHInRaDyn8xcVFQGgN7ZekdQL91kSyC6sIzPXCkioVb4s6iNvKpWEVi0RaNYQ5KclyE+LQXdhTEOH+msJtmjJzKmtTwy+kIX46xh1bECzo4KN2SKgERoqKyvjnXfe4c3//o/CgnxSO/fjjqfeo2PPYWIJSRDOklarZ8CY6+k36lpy9m5jy+qFLFi0gI8++ohOnbuwdcu5dcb+9NNPMZr8SOnUt4lGfOYk5TQ6AdbU1BAQEEB1dTX+/q37ikhRFOwumXVZVezOsxEdrMegUyPLCt5j3mQZXB6ZGruHI/fQqFPVBzXBh/8P8tNi1J9/D5JZ+TYWbStnSMdg0mL9Wns4Taq8xsXG7Gr2F9mxGNV0axdAighoLlrbt2/ntdde4/MvvkBRoOeQ8Qy5YgqxiemtPTRB+FNy1NXy6iNX0zY2jKVLl5z1efbs2UOvXr3pMvByrr/ruVMfcIbsdVYeuKrDKWOPFp2RcXtkqmweqmzuw28eamweFBQ0ahUateR7U0lH31ercLllrHYPVruHWrsXj6ygUUsM6RhMaoz5pDt7vLJCtc1NRa2bysNvBRVOduXWciRdw6BVEWTxBTcRgb66LxajulV3DCVHmyiocLB8ZwVBh8f1ZxHir2NU1zDKrb4ZmqU7KtiUXS0CmouI1+tl3rx5vPbaf1iyZDHBYZGMuXY6A8Zcj19AcGsPTxD+tCpK8nnrn1OpLi/k6ff/e/bnqajg0rGX4RcYzvgpf2vCEZ65Jg9kFEWh1uGlsvZosFJtc1NZ66HOeXQXjlGnItBPS4i/FpUk4ZEVPF4Zj1ehzu373+NVcHtldBoVFpOGNmFGLAY1FpOGsADdaeWPqFUSwRYdwZaGe9y9skJNnYcK6+EAx+Ymv9zBzpxaAEx6NZFBOiID9UQG6wmx6Fr0CVaSJAZmBFNhdbNgUxnXDoxCr/1z5WaHWI4NaGpYuqOCHYesDO4YTHjAnydwE46qrq7mww8/5D+vv8HBA/tpm96NW/72Bt36X4Jac2HUThKEC5WiKHz62kNIXjtr164hPf3sZz2fffZZiopLePQ/81o9d61JApk6p7e+Wm1+uaN+27BaJRFg1hBo1pAWaybQrD38sbbVn5TVKql+aelYDpeX4ioXRZVOCiudrM2qwiuDRi0RHqAjLsxISowZUzMvR3llhW0HrVTUutGqJdweudW/Z83FF9CEUlrtYumOcr5fVUynRAs9kgJEUb0/ib179/L666/z4Ycf4XA46DZwLNdO/z8SUru09tAE4aJxYM9mdm9ZxYsvvnhOQUxlZSXvvPsugy6bSlhUfBOO8OycVSDjcssUVPgq0uaXO6msdQMQbNGSGGkiJlhPsEXX6sszZ8OgUxMfbiQ+3Jdk6/UqlNb4ApuiSifr91axLquKhHAjaW38iA01NHln69xSOyt2VVJT56FDvO8J/c8axBwrLEDHxL6RbD1oZcPeavYX1TG4Q0j9dnThwqIoCr/++iuvvfYffvnlZ/wDQxh0+VQGjb2JwJCI1h6eIFx0YhLSSO82kMcff5zAwECmTZt2Vuf53//+h9vtYegVU5p2gGfpjJJ9f994iGqnjpJqF4oCfsaGzQ+be5bifOBwedlbUMeuvNrD26PVxIUbCTL7ZncsRjUl1S4OldipsLpBAglfTRi9Vk2Q39FdVEFmLTqtCqvdQ7XNQ02dh7xyB4dK7EQH6xmQEXTcktjFotrmZumOCgoqnKTGmOmbFnjB7Dq72NlsNj799FNe+8/r7Nm9izZtMxhyxVR6DrkCrU4EpYLQmrweN9++8wxL533CtGnTeO655wgNDT3t4+12O/HxCaT1HMWku5s+wbfBtU4z2feMApn/zcmkXVwYsSF6YkIM+Js0F9yMS1NRFIWSahe782wUVzqpsrk5ttZbqL+WyCD94dv63upcXqpq3VTXHd1JdSy1CgLNWrq286ddpOmi/d4eoSgKu/NsrN5diVol0T8jSHxfzmM5OTm8+eabvPvue9TUVNOpz0iGjruF5A69xc9MEM4zK+Z/yTdv/wNF9nLppWO5+ebJjB07Fr3+5PmJb7/9NnfddRf/eGcx4dEJzTrGZglkqqqqCAgIaNKB/lnIioK1zkN1nYdgPy1+xhOv2h3ZSVVZ68HlkfE3aQgwaTAbLryluJZgc3hZmVnB/mI7Xdv60zs1sLWHJBwjLy+P++67n++/n43B5Ee/Udcy5PKbCYlo09pDEwThJKzV5WxYOpd1i2ZzMGsbQUHBPPDA/UyfPr3RwMHr9ZKckkpQTBq3//1/zT6+Zglkzoc6MsLFa/P+GtbuqWJU11DaRrZeFUnhqO3btzNmzCXYXV5GX3MXvYdficFobu1hCYJwhgpz9rLs589YOf9LzCYTDz74QIOARlEU7rvvPt544w0e/c+PxCV1bPYxiUBG+NNRFIXftpaTU2JnYr/I43acnSv58FJWWbULgMgg3xKq2SBycxrz+++/M2HCRILC23DnPz8UCbyC8CdQVVbEgu/eOi6gmTlzJo888gjX3fUvBo+9qUXGIgIZ4U/J7ZGZvboYRVGY0DeyyXZzlde4WLKjgtJqFyEWLbIClbVuJCAx0kSXRAvhf6KihOfqs88+45ZbbiG5Y19uf+wtDKY/V/VpQbjYHRvQGA0GamqqGXPt3Yy7+eEWG4MIZIQ/rSqbm9mripAkifZxfnSIt5zTjrn8cge/bCzFYtQwuENwfZK23eklu6iObQet1NR56NbOn14pgU10Ly5MiqLwwgsv8Nhjj9F35NXccM8MUchOEP7EqsqKWDhrJjqdgXFTHmnRPE4RyAh/ala7h+0HrezKrcUrK6TEmOmU4E+w5cyeVHNL7czfVEZUsJ4x3ULRqI+f4ZEVhc3ZNazfW82YbqEkRFyc+TlOp5N7772XmTNnMnbSfYy94T6RnC4IQrM5L3stCUJTsRg19EsPontSAJk5tWw/ZGV3no0gPy3+RjV+Rg2W+jc1FqMGrUZFTZ1vt1iVzdeaYn9RHbGhBkZ1DUOjbvxJWSVJdGvnz558G7lljosukHG73Xz55Zc8+dQ/yMvL5cZ7X6T/6Otae1iCIAiACGSEC5xeq6JrO386JVrILqyjuMqJ1e6hsMJJlt2G29v4hKNB6+uE3inRn57JAafsoyVJEi63/Kcu+qgoCkVFRWzfvp1t27axfft2tmzdyp7du3E6nXTtP4Ypf3+PqLjk1h6qIAhCPRHICH8KapVESoyZlJijW38VRcHplrHavdTaPTg9MgEmDYF+WoxnUSXYYtSweX8Nu3Jr0R7uzK5RS2g0EtFBBjLi/C6YVhJ1dXXs3LmzPmDZunUb27Zvp6K8DAC9wUhMQhpR8emM6zuB5A69iW2b0cqjFgShNWTvXM/vc97jUNYWLrvxIfqOvLq1h9SACGSEPy1JkjDo1Bh0asICzr3Vw+AOweSW2XHXd2b3dWx3umXW761iU3Y1Xdr60z3p/CkaKcsy+/fvr59l2bZ9O1u3bmV/djaKoiBJEhExCUTFp9HvksnEJKQSk5hOSEQbVKoLIygTBKH5yLLM+y/eTXhIIP169+DT1x5GUqnoM/zK1h5aPRHICMJpCg3QEXqCgKjO6WXLfl9CsNmgJi22dbYjO51OVq5cya+//sqixYvZsWMHdTYbAP6BwUQnpBHXfhD9LptGdEIa0XEp6AzGVhmrIAjnv+yd66ksK+LHOd/Rt29fbr/9dj549QG+f/85/ANDiU3qyNArprRIgbwTEbuWBKEJLdlezt6COq7sF3nGO6jOhqIoZGZmsnDhQhYsWMjSZUtx2O0EBIWS3KkfcUkdiElMJyYhDf+gMLHLSBCE05a5aRkfv3IfEeGh7N6ViUqlQpZlvv76a/bv309RURE/zP2R3JxDJHfoxdBxt9C5zyhU6qbJJRTbrwWhFXi8Ml8vLyQiUM+ILqffUfZMlJSU8Ntvv/mCl4W/UlRYgFanJ6l9T9K6DiS960BiEtPF0pAg/InIXm+TBQgnU11Rws4Ni9m29ne2rVnIiBEj+PzzzwkLC2v09h6Ph7lz5/Lqv/+PVStX0Kn3CG577H9otedeQFQEMoLQSrYftLJqdyU3D4vBcBZJxX9UU1PDunXr+PXXX5m/YCHbtm4BoE3bdFK7DCC92yCS2vdCpzec87UEQTi/5B/cw6+zZrJp+Tw69xnFLX97o1lmVvdsXcUPH73AgT1bUalU9O7TlxsmXc+dd9552i+K5s2bx1VXX01Sh97c8eR7aLTnlpso6sgIQiuxGNUoCri9CmcaWtTV1bFlyxY2bNjA+vXrWbd+A3uz9qAoCoHB4aR2GcCUh24mrcsAAoLDm2X8giCcH6rKivj3w1cSEhJMRHgYG5b9yE33vdzkeW0bl83jo1fuo3fv3jz9+CdccsklhIae+YzyZZddxk/z5jFmzBjmfvIKE299rEnHeSIikBGEJuRweVm9u4ogs+aMas64XC7uv/9+Zs6cidfrRaPV0aZdBnHJvehz6W0kpHYmsk2yyHERhIvI1289hZ/ZxIsvzOCuu+6ma/8xTR7ELJ77Id/OfJpJk27gww8/QKs9t9y+4cOHM2PGDB5++GGiE1LpPWxisz9uiUBGEJpIVa2bX7eU4XDLTOwbccoie0fk5+dz5ZVXsXHTJi678UEyug8iOj71nKdlBUG4cG1dvZAtqxdwww03MGnSJNr3GMyku2c02fkVRWHuJy8z/+v/8sADD/Dyyy83WV7dAw88wJYtW/n41QdYvfAbeg+/kj4jrmq2vL0zypHJzc0VOTKC8AeKorC3wMbq3VWYDWqGdgwhxP/0gpBVq1Zx002T8cgSNz/0GvEpnZp5tIIgnO8UReHFey/HaatEklS0Se7GlEdea7KZDa/Xw7czn2Hdotk8++yzTJ8+vUnO+0c///wz119/PQCT7p5BjyGXn9HxjrpaHpvcp2mSfZ1OJwaDSCQUBEEQBKHlREZGcuDAgZPGIKcVyIAvmHE6nU02OEEQBEEQhJPR6XSnnEg57UBGEARBEAThfCMqZgmCIAiCcMESgYwgCIIgCBcsEcgIgiAIgnDBEoGMIAiCIAgXLBHICIIgCIJwwRKBjCAIgiAIFywRyAiCIAiCcMH6fzZlUtnfoxZfAAAAAElFTkSuQmCC", "text/plain": ["<Figure size 700x700 with 1 Axes>"]}, "metadata": {}, "output_type": "display_data"}], "source": ["import cartopy.crs as ccrs\n", "import cartopy.feature as cfeature\n", "import matplotlib.pyplot as plt\n", "\n", "fig = plt.figure(figsize=(7,7))\n", "ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())\n", "ax.set_extent(lim_metropole)\n", "ax.add_feature(cfeature.OCEAN.with_scale('50m'))\n", "ax.add_feature(cfeature.COASTLINE.with_scale('50m'))\n", "ax.add_feature(cfeature.RIVERS.with_scale('50m'))\n", "ax.add_feature(cfeature.BORDERS.with_scale('50m'), linestyle=':')\n", "ax.scatter(ets17_2_metro.LLX, ets17_2_metro.LLY,\n", "           s=ets17_2_metro.Quantite ** 0.5 / 5, alpha=0.5)\n", "ax.set_title('France 2017\\nproduction de produits dangereux');"]}, {"cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": []}], "metadata": {"kernelspec": {"display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3"}, "language_info": {"codemirror_mode": {"name": "ipython", "version": 3}, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.5"}}, "nbformat": 4, "nbformat_minor": 2}