Raw File
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <span style=\"color:orange\">Appliquer le code du Baromètre de la Science Ouverte aux données de l'Université de Lorraine</span>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Une fois que l'on dispose de sa liste de DOI nettoyée (voir le notebook \"nettoyage_donnees\"), il est à présent temps d'appliquer le code du Baromètre national de la Science Ouverte aux données de son propre établissement. Il suffit de remplacer \"lorraine\" par le nom de son établissement à l'intérieur du code.\n",
    "\n",
    "**Il faut remplacer \"lorraine\" par le nom de l'établissement directement dans le code ci-dessous. Vous pouvez faire ctrl+f pour modifier toutes les occurrences d'un coup.**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <span style=\"color:orange\">Importer les scripts</span>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Adresse :  https://github.com/MinistereSupRecherche/bso\n",
    "\n",
    "Copier dans son propre répertoire, à la racine, les fichiers \"scanr_utils.py\" et \"unpwaywall_utils.py\". Ce n'est pas une faute de frappe, le fichier s'appelle bien \"unpwaywall\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scanr_utils import *\n",
    "from unpwaywall_utils import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <span style=\"color:orange\">Importer dans le notebook les données préalablement traitées</span>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"Data/outputs/doi_lorraine.csv\") as f:\n",
    "    doi_lorraine_str = f.read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "doi_lorraine_df = pd.read_csv(\"Data/outputs/doi_lorraine.csv\",sep=\"\\t\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>doi</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10.1016/j.chemgeo.2016.10.031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.1371/journal.pone.0168349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10.1016/j.jpowsour.2016.10.037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10.1016/j.jpowsour.2016.10.035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10.1021/acs.jpcc.6b09974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21452</th>\n",
       "      <td>10.1016/j.postharvbio.2020.111350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21453</th>\n",
       "      <td>10.1101/2020.06.02.128975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21454</th>\n",
       "      <td>10.1007/978-3-030-39165-2_21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21455</th>\n",
       "      <td>10.1016/j.foreco.2020.118672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21456</th>\n",
       "      <td>10.5595/001c.18160</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>21457 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     doi\n",
       "0          10.1016/j.chemgeo.2016.10.031\n",
       "1           10.1371/journal.pone.0168349\n",
       "2         10.1016/j.jpowsour.2016.10.037\n",
       "3         10.1016/j.jpowsour.2016.10.035\n",
       "4               10.1021/acs.jpcc.6b09974\n",
       "...                                  ...\n",
       "21452  10.1016/j.postharvbio.2020.111350\n",
       "21453          10.1101/2020.06.02.128975\n",
       "21454       10.1007/978-3-030-39165-2_21\n",
       "21455       10.1016/j.foreco.2020.118672\n",
       "21456                 10.5595/001c.18160\n",
       "\n",
       "[21457 rows x 1 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "doi_lorraine_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <span style=\"color:orange\">Enrichissement avec l'API Unpaywall</span>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On ajoute à la liste de DOI constituée précédemment toutes les informations comprises dans l'API Unpaywall : titre, année, statut d'open access... <span style=\"color:red\">**Attention, le processus peut prendre plusieurs heures la première fois que l'on exécute ce code.**</span>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "21457 publications\n",
      "0 %, 0 %, 0 %, 1 %, 1 %, 1 %, 1 %, 2 %, 2 %, 2 %, 2 %, 3 %, 3 %, 3 %, 3 %, 3 %, 4 %, 4 %, 4 %, 4 %, 5 %, 5 %, 5 %, 5 %, 6 %, 6 %, 6 %, 6 %, 7 %, 7 %, 7 %, 7 %, 7 %, 8 %, 8 %, 8 %, 8 %, 9 %, 9 %, 9 %, 9 %, 10 %, 10 %, 10 %, 10 %, 10 %, 11 %, 11 %, 11 %, 11 %, 12 %, 12 %, 12 %, 12 %, 13 %, 13 %, 13 %, 13 %, 14 %, 14 %, 14 %, 14 %, 14 %, 15 %, 15 %, 15 %, 15 %, 16 %, 16 %, 16 %, 16 %, 17 %, 17 %, 17 %, 17 %, 17 %, 18 %, 18 %, 18 %, 18 %, 19 %, 19 %, 19 %, 19 %, 20 %, 20 %, 20 %, 20 %, 21 %, 21 %, 21 %, 21 %, 21 %, 22 %, 22 %, 22 %, 22 %, 23 %, 23 %, 23 %, 23 %, 24 %, 24 %, 24 %, 24 %, 24 %, 25 %, 25 %, 25 %, 25 %, 26 %, 26 %, 26 %, 26 %, 27 %, 27 %, 27 %, 27 %, 27 %, 28 %, 28 %, 28 %, 28 %, 29 %, 29 %, 29 %, 29 %, 30 %, 30 %, 30 %, 30 %, 31 %, 31 %, 31 %, 31 %, 31 %, 32 %, 32 %, 32 %, 32 %, 33 %, 33 %, 33 %, 33 %, 34 %, 34 %, 34 %, 34 %, 34 %, 35 %, 35 %, 35 %, 35 %, 36 %, 36 %, 36 %, 36 %, 37 %, 37 %, 37 %, 37 %, 38 %, 38 %, 38 %, 38 %, 38 %, 39 %, 39 %, 39 %, 39 %, 40 %, 40 %, 40 %, 40 %, 41 %, 41 %, 41 %, 41 %, 41 %, 42 %, 42 %, 42 %, 42 %, 43 %, 43 %, 43 %, 43 %, 44 %, 44 %, 44 %, 44 %, 45 %, 45 %, 45 %, 45 %, 45 %, 46 %, 46 %, 46 %, 46 %, 47 %, 47 %, 47 %, 47 %, 48 %, 48 %, 48 %, 48 %, 48 %, 49 %, 49 %, 49 %, 49 %, 50 %, 50 %, 50 %, 50 %, 51 %, 51 %, 51 %, 51 %, 51 %, 52 %, 52 %, 52 %, 52 %, 53 %, 53 %, 53 %, 53 %, 54 %, 54 %, 54 %, 54 %, 55 %, 55 %, 55 %, 55 %, 55 %, 56 %, 56 %, 56 %, 56 %, 57 %, 57 %, 57 %, 57 %, 58 %, 58 %, 58 %, 58 %, 58 %, 59 %, 59 %, 59 %, 59 %, 60 %, 60 %, 60 %, 60 %, 61 %, 61 %, 61 %, 61 %, 62 %, 62 %, 62 %, 62 %, 62 %, 63 %, 63 %, 63 %, 63 %, 64 %, 64 %, 64 %, 64 %, 65 %, 65 %, 65 %, 65 %, 65 %, 66 %, 66 %, 66 %, 66 %, 67 %, 67 %, 67 %, 67 %, 68 %, 68 %, 68 %, 68 %, 69 %, 69 %, 69 %, 69 %, 69 %, 70 %, 70 %, 70 %, 70 %, 71 %, 71 %, 71 %, 71 %, 72 %, 72 %, 72 %, 72 %, 72 %, 73 %, 73 %, 73 %, 73 %, 74 %, 74 %, 74 %, 74 %, 75 %, 75 %, 75 %, 75 %, 75 %, 76 %, 76 %, 76 %, 76 %, 77 %, 77 %, 77 %, 77 %, 78 %, 78 %, 78 %, 78 %, 79 %, 79 %, 79 %, 79 %, 79 %, 80 %, 80 %, 80 %, 80 %, 81 %, 81 %, 81 %, 81 %, 82 %, 82 %, 82 %, 82 %, 82 %, 83 %, 83 %, 83 %, 83 %, 84 %, 84 %, 84 %, 84 %, 85 %, 85 %, 85 %, 85 %, 86 %, 86 %, 86 %, 86 %, 86 %, 87 %, 87 %, 87 %, 87 %, 88 %, 88 %, 88 %, 88 %, 89 %, 89 %, 89 %, 89 %, 89 %, 90 %, 90 %, 90 %, 90 %, 91 %, 91 %, 91 %, 91 %, 92 %, 92 %, 92 %, 92 %, 93 %, 93 %, 93 %, 93 %, 93 %, 94 %, 94 %, 94 %, 94 %, 95 %, 95 %, 95 %, 95 %, 96 %, 96 %, 96 %, 96 %, 96 %, 97 %, 97 %, 97 %, 97 %, 98 %, 98 %, 98 %, 98 %, 99 %, 99 %, 99 %, 99 %, 100 %, 100 %, 100 %, "
     ]
    }
   ],
   "source": [
    "publis_lorraine_oa_status = enrich_with_upw_status(doi_lorraine_df)\n",
    "publis_lorraine_oa_status\n",
    "publis_lorraine_oa_status.to_csv(\"Data/outputs/publis_lorraine_oa_status.csv\",index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Enregistrer le résultat dans un fichier CSV pour ne pas avoir à refaire ce travail plusieurs fois :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "publis_lorraine_oa_status = pd.read_csv(\"Data/outputs/publis_lorraine_oa_status.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Avoir le fichier en format Excel lisible par les humains :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "publis_lorraine_oa_status.to_excel(\"Data/outputs/publis_lorraine_oa_status.xls\",index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <span style=\"color:orange\">Ajouter à la DataFrame le champ \"scientific field\" pour ajouter le domaine pour chaque DOI grâce au jeu de données du Baromètre</soan>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Le jeu de données est disponible à cette adresse : https://data.enseignementsup-recherche.gouv.fr/explore/dataset/open-access-monitor-france/export/?disjunctive.oa_host_type&disjunctive.year\n",
    "\n",
    "<span style=\"color:red\">**Il faut le télécharger chaque année et le placer au même endroit (Barometre_SO_lorraine -> raw) pour mettre à jour les données.**</span> Attention, s'assurer avant de réaliser cette opération que ce jeu de données a bien été mis à jour par le Ministère (sinon, la plupart des publications auront la discipline \"unknown\"."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lire le jeu de données du Baromètre national et le stocker dans une variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"Data/raw/open-access-monitor-france.csv\", encoding='utf-8') as f:\n",
    "    open_access_monitor_france_str = f.read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "open_access_monitor_france_df = pd.read_csv(\"Data/raw/open-access-monitor-france.csv\", encoding='utf-8',sep=\";\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Fusionner la DataFrame lorraine et le jeu de données du Baromètre sur le critère du DOI pour ajouter le champ \"scientific field\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>doi</th>\n",
       "      <th>oa_type</th>\n",
       "      <th>is_oa</th>\n",
       "      <th>title</th>\n",
       "      <th>published_date</th>\n",
       "      <th>published_year</th>\n",
       "      <th>genre</th>\n",
       "      <th>journal_is_in_doaj</th>\n",
       "      <th>journal_issns</th>\n",
       "      <th>journal_name</th>\n",
       "      <th>publisher</th>\n",
       "      <th>repositories</th>\n",
       "      <th>scientific_field</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10.1016/j.chemgeo.2016.10.031</td>\n",
       "      <td>closed</td>\n",
       "      <td>False</td>\n",
       "      <td>Zinc isotope fractionation during adsorption t...</td>\n",
       "      <td>2016-12-01</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>journal-article</td>\n",
       "      <td>False</td>\n",
       "      <td>0009-2541</td>\n",
       "      <td>Chemical Geology</td>\n",
       "      <td>Elsevier BV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.1371/journal.pone.0168349</td>\n",
       "      <td>publisher;repository</td>\n",
       "      <td>True</td>\n",
       "      <td>Prediction of Left Ventricular Remodeling afte...</td>\n",
       "      <td>2016-12-30</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>journal-article</td>\n",
       "      <td>True</td>\n",
       "      <td>1932-6203</td>\n",
       "      <td>PLOS ONE</td>\n",
       "      <td>Public Library of Science (PLoS)</td>\n",
       "      <td>europepmc.org;pdfs.semanticscholar.org;www.ncb...</td>\n",
       "      <td>Medical research</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10.1016/j.jpowsour.2016.10.037</td>\n",
       "      <td>closed</td>\n",
       "      <td>False</td>\n",
       "      <td>A critical review on gas diffusion micro and m...</td>\n",
       "      <td>2016-12-01</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>journal-article</td>\n",
       "      <td>False</td>\n",
       "      <td>0378-7753</td>\n",
       "      <td>Journal of Power Sources</td>\n",
       "      <td>Elsevier BV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Engineering</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10.1016/j.jpowsour.2016.10.035</td>\n",
       "      <td>closed</td>\n",
       "      <td>False</td>\n",
       "      <td>Decohesion and rupture mechanisms of a multila...</td>\n",
       "      <td>2016-12-01</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>journal-article</td>\n",
       "      <td>False</td>\n",
       "      <td>0378-7753</td>\n",
       "      <td>Journal of Power Sources</td>\n",
       "      <td>Elsevier BV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Physical sciences, Astronomy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10.1021/acs.jpcc.6b09974</td>\n",
       "      <td>publisher</td>\n",
       "      <td>True</td>\n",
       "      <td>Local Structure-Driven Localized Surface Plasm...</td>\n",
       "      <td>2016-12-19</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>journal-article</td>\n",
       "      <td>False</td>\n",
       "      <td>1932-7447,1932-7455</td>\n",
       "      <td>The Journal of Physical Chemistry C</td>\n",
       "      <td>American Chemical Society (ACS)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Physical sciences, Astronomy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>21452</th>\n",
       "      <td>10.1016/j.postharvbio.2020.111350</td>\n",
       "      <td>publisher</td>\n",
       "      <td>True</td>\n",
       "      <td>SlMAPK3, a key mitogen-activated protein kinas...</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>journal-article</td>\n",
       "      <td>False</td>\n",
       "      <td>0925-5214</td>\n",
       "      <td>Postharvest Biology and Technology</td>\n",
       "      <td>Elsevier BV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21453</th>\n",
       "      <td>10.1101/2020.06.02.128975</td>\n",
       "      <td>repository</td>\n",
       "      <td>True</td>\n",
       "      <td>Paleoclimate and current climate collectively ...</td>\n",
       "      <td>2020-06-03</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>posted-content</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>Cold Spring Harbor Laboratory</td>\n",
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       "      <th>21454</th>\n",
       "      <td>10.1007/978-3-030-39165-2_21</td>\n",
       "      <td>closed</td>\n",
       "      <td>False</td>\n",
       "      <td>Product Innovation Determinants and Export Per...</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>book-chapter</td>\n",
       "      <td>False</td>\n",
       "      <td>2363-6165,2363-6173</td>\n",
       "      <td>Developments in Marketing Science: Proceedings...</td>\n",
       "      <td>Springer International Publishing</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21455</th>\n",
       "      <td>10.1016/j.foreco.2020.118672</td>\n",
       "      <td>closed</td>\n",
       "      <td>False</td>\n",
       "      <td>Growth dynamics of fast-growing tree species i...</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>journal-article</td>\n",
       "      <td>False</td>\n",
       "      <td>0378-1127</td>\n",
       "      <td>Forest Ecology and Management</td>\n",
       "      <td>Elsevier BV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21456</th>\n",
       "      <td>10.5595/001c.18160</td>\n",
       "      <td>publisher</td>\n",
       "      <td>True</td>\n",
       "      <td>Agent-based model for simulating households’ s...</td>\n",
       "      <td>2020-11-30</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>journal-article</td>\n",
       "      <td>False</td>\n",
       "      <td>2185-8322</td>\n",
       "      <td>IDRiM Journal</td>\n",
       "      <td>Journal of Integrated Disaster Risk Management</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>21457 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     doi               oa_type  is_oa  \\\n",
       "0          10.1016/j.chemgeo.2016.10.031                closed  False   \n",
       "1           10.1371/journal.pone.0168349  publisher;repository   True   \n",
       "2         10.1016/j.jpowsour.2016.10.037                closed  False   \n",
       "3         10.1016/j.jpowsour.2016.10.035                closed  False   \n",
       "4               10.1021/acs.jpcc.6b09974             publisher   True   \n",
       "...                                  ...                   ...    ...   \n",
       "21452  10.1016/j.postharvbio.2020.111350             publisher   True   \n",
       "21453          10.1101/2020.06.02.128975            repository   True   \n",
       "21454       10.1007/978-3-030-39165-2_21                closed  False   \n",
       "21455       10.1016/j.foreco.2020.118672                closed  False   \n",
       "21456                 10.5595/001c.18160             publisher   True   \n",
       "\n",
       "                                                   title published_date  \\\n",
       "0      Zinc isotope fractionation during adsorption t...     2016-12-01   \n",
       "1      Prediction of Left Ventricular Remodeling afte...     2016-12-30   \n",
       "2      A critical review on gas diffusion micro and m...     2016-12-01   \n",
       "3      Decohesion and rupture mechanisms of a multila...     2016-12-01   \n",
       "4      Local Structure-Driven Localized Surface Plasm...     2016-12-19   \n",
       "...                                                  ...            ...   \n",
       "21452  SlMAPK3, a key mitogen-activated protein kinas...     2021-01-01   \n",
       "21453  Paleoclimate and current climate collectively ...     2020-06-03   \n",
       "21454  Product Innovation Determinants and Export Per...     2020-01-01   \n",
       "21455  Growth dynamics of fast-growing tree species i...     2021-01-01   \n",
       "21456  Agent-based model for simulating households’ s...     2020-11-30   \n",
       "\n",
       "       published_year            genre journal_is_in_doaj  \\\n",
       "0              2016.0  journal-article              False   \n",
       "1              2016.0  journal-article               True   \n",
       "2              2016.0  journal-article              False   \n",
       "3              2016.0  journal-article              False   \n",
       "4              2016.0  journal-article              False   \n",
       "...               ...              ...                ...   \n",
       "21452          2021.0  journal-article              False   \n",
       "21453          2020.0   posted-content              False   \n",
       "21454          2020.0     book-chapter              False   \n",
       "21455          2021.0  journal-article              False   \n",
       "21456          2020.0  journal-article              False   \n",
       "\n",
       "             journal_issns                                       journal_name  \\\n",
       "0                0009-2541                                   Chemical Geology   \n",
       "1                1932-6203                                           PLOS ONE   \n",
       "2                0378-7753                           Journal of Power Sources   \n",
       "3                0378-7753                           Journal of Power Sources   \n",
       "4      1932-7447,1932-7455                The Journal of Physical Chemistry C   \n",
       "...                    ...                                                ...   \n",
       "21452            0925-5214                 Postharvest Biology and Technology   \n",
       "21453                  NaN                                                NaN   \n",
       "21454  2363-6165,2363-6173  Developments in Marketing Science: Proceedings...   \n",
       "21455            0378-1127                      Forest Ecology and Management   \n",
       "21456            2185-8322                                      IDRiM Journal   \n",
       "\n",
       "                                            publisher  \\\n",
       "0                                         Elsevier BV   \n",
       "1                    Public Library of Science (PLoS)   \n",
       "2                                         Elsevier BV   \n",
       "3                                         Elsevier BV   \n",
       "4                     American Chemical Society (ACS)   \n",
       "...                                               ...   \n",
       "21452                                     Elsevier BV   \n",
       "21453                   Cold Spring Harbor Laboratory   \n",
       "21454               Springer International Publishing   \n",
       "21455                                     Elsevier BV   \n",
       "21456  Journal of Integrated Disaster Risk Management   \n",
       "\n",
       "                                            repositories  \\\n",
       "0                                                    NaN   \n",
       "1      europepmc.org;pdfs.semanticscholar.org;www.ncb...   \n",
       "2                                                    NaN   \n",
       "3                                                    NaN   \n",
       "4                                                    NaN   \n",
       "...                                                  ...   \n",
       "21452                                                NaN   \n",
       "21453                        pure.mpg.de;www.biorxiv.org   \n",
       "21454                                                NaN   \n",
       "21455                                                NaN   \n",
       "21456                                                NaN   \n",
       "\n",
       "                   scientific_field  \n",
       "0                               NaN  \n",
       "1                  Medical research  \n",
       "2                       Engineering  \n",
       "3      Physical sciences, Astronomy  \n",
       "4      Physical sciences, Astronomy  \n",
       "...                             ...  \n",
       "21452                           NaN  \n",
       "21453                           NaN  \n",
       "21454                           NaN  \n",
       "21455                           NaN  \n",
       "21456                           NaN  \n",
       "\n",
       "[21457 rows x 13 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_lorraine = pd.merge(publis_lorraine_oa_status, open_access_monitor_france_df[['doi', 'scientific_field']], how=\"left\", on=\"doi\")\n",
    "df_lorraine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_lorraine.to_csv(\"Data/outputs/publis_lorraine_completes.csv\",index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Il se peut que de nombreuses publications aient une discipline \"unknown\". Cela signifie qu'elles ne sont pas dans le corpus identifié par le Ministère en raison de décalages de dates de mise à jour. Pour ajouter les disciplines sur les DOI n'ayant pas été repérés par la méthodologie du Ministère, il faut envoyer à eric.jeangirard [@] recherche.gouv.fr votre liste de publications (publis_lorraine_completes.csv) pour qu'il vous renvoie un fichier \"missing_scientific_field_lorraine.csv\". Ce fichier doit être mis dans Data > raw (à la place du fichier de l'Université de lorraine).\n",
    "\n",
    "**Si vous n'avez pas de publications \"unknown\" ou que vous n'avez pas ce fichier et ne souhaitez pas le demander, n'exécutez pas les lignes de code allant jusqu'à la partie \"Générer les graphiques\" et remplacez la ligne :**\n",
    "\n",
    "df_complete.to_csv(\"Data/outputs/publis_lorraine_completes.csv\",index=False)\n",
    "\n",
    "(qui apparaît juste au-dessus du texte en vert) par :\n",
    "\n",
    "df_complete = df_lorraine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_publi = pd.read_csv(\"Data/outputs/publis_lorraine_completes.csv\")\n",
    "df_publi.scientific_field.fillna(\"unknown\", inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lire le fichier avec les disciplines manquantes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_field = pd.read_csv(\"Data/raw/missing_scientific_field_lorraine.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Garder les lignes qui ont déjà une discipline et écarter les autres"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_publi_ok = df_publi[df_publi.scientific_field != 'unknown']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_publi_missing = df_publi[df_publi.scientific_field == 'unknown']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ajouter la discipline à partir du fichier, en faisant une jointure gauche"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_publi_missing2 = df_publi_missing.merge(df_field, on='doi', how='left')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Renommer les champs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_publi_missing2[\"scientific_field\"] = df_publi_missing2[\"scientific_field_y\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "del df_publi_missing2[\"scientific_field_x\"] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "del df_publi_missing2[\"scientific_field_y\"] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_publi_missing2.scientific_field.fillna(\"unknown\", inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Remettre les deux parties ensemble"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>doi</th>\n",
       "      <th>oa_type</th>\n",
       "      <th>is_oa</th>\n",
       "      <th>title</th>\n",
       "      <th>published_date</th>\n",
       "      <th>published_year</th>\n",
       "      <th>genre</th>\n",
       "      <th>journal_is_in_doaj</th>\n",
       "      <th>journal_issns</th>\n",
       "      <th>journal_name</th>\n",
       "      <th>publisher</th>\n",
       "      <th>repositories</th>\n",
       "      <th>scientific_field</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.1371/journal.pone.0168349</td>\n",
       "      <td>publisher;repository</td>\n",
       "      <td>True</td>\n",
       "      <td>Prediction of Left Ventricular Remodeling afte...</td>\n",
       "      <td>2016-12-30</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>journal-article</td>\n",
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       "      <td>1932-6203</td>\n",
       "      <td>PLOS ONE</td>\n",
       "      <td>Public Library of Science (PLoS)</td>\n",
       "      <td>europepmc.org;pdfs.semanticscholar.org;www.ncb...</td>\n",
       "      <td>Medical research</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10.1016/j.jpowsour.2016.10.037</td>\n",
       "      <td>closed</td>\n",
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       "      <td>A critical review on gas diffusion micro and m...</td>\n",
       "      <td>2016-12-01</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>journal-article</td>\n",
       "      <td>False</td>\n",
       "      <td>0378-7753</td>\n",
       "      <td>Journal of Power Sources</td>\n",
       "      <td>Elsevier BV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Engineering</td>\n",
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       "      <td>Decohesion and rupture mechanisms of a multila...</td>\n",
       "      <td>2016-12-01</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>journal-article</td>\n",
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       "      <td>Journal of Power Sources</td>\n",
       "      <td>Elsevier BV</td>\n",
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       "      <td>Physical sciences, Astronomy</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10.1021/acs.jpcc.6b09974</td>\n",
       "      <td>publisher</td>\n",
       "      <td>True</td>\n",
       "      <td>Local Structure-Driven Localized Surface Plasm...</td>\n",
       "      <td>2016-12-19</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>journal-article</td>\n",
       "      <td>False</td>\n",
       "      <td>1932-7447,1932-7455</td>\n",
       "      <td>The Journal of Physical Chemistry C</td>\n",
       "      <td>American Chemical Society (ACS)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Physical sciences, Astronomy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>10.1021/acs.jpcb.6b09664</td>\n",
       "      <td>closed</td>\n",
       "      <td>False</td>\n",
       "      <td>Effect of Sodium Oxide Modifier on Structural ...</td>\n",
       "      <td>2016-12-19</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>journal-article</td>\n",
       "      <td>False</td>\n",
       "      <td>1520-6106,1520-5207</td>\n",
       "      <td>The Journal of Physical Chemistry B</td>\n",
       "      <td>American Chemical Society (ACS)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Physical sciences, Astronomy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>5322</th>\n",
       "      <td>10.1016/j.postharvbio.2020.111350</td>\n",
       "      <td>publisher</td>\n",
       "      <td>True</td>\n",
       "      <td>SlMAPK3, a key mitogen-activated protein kinas...</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>journal-article</td>\n",
       "      <td>False</td>\n",
       "      <td>0925-5214</td>\n",
       "      <td>Postharvest Biology and Technology</td>\n",
       "      <td>Elsevier BV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Biology (fond.)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5323</th>\n",
       "      <td>10.1101/2020.06.02.128975</td>\n",
       "      <td>repository</td>\n",
       "      <td>True</td>\n",
       "      <td>Paleoclimate and current climate collectively ...</td>\n",
       "      <td>2020-06-03</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>posted-content</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Cold Spring Harbor Laboratory</td>\n",
       "      <td>pure.mpg.de;www.biorxiv.org</td>\n",
       "      <td>Earth, Ecology, \\nEnergy and applied biology</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5324</th>\n",
       "      <td>10.1007/978-3-030-39165-2_21</td>\n",
       "      <td>closed</td>\n",
       "      <td>False</td>\n",
       "      <td>Product Innovation Determinants and Export Per...</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>book-chapter</td>\n",
       "      <td>False</td>\n",
       "      <td>2363-6165,2363-6173</td>\n",
       "      <td>Developments in Marketing Science: Proceedings...</td>\n",
       "      <td>Springer International Publishing</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Biology (fond.)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5325</th>\n",
       "      <td>10.1016/j.foreco.2020.118672</td>\n",
       "      <td>closed</td>\n",
       "      <td>False</td>\n",
       "      <td>Growth dynamics of fast-growing tree species i...</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2021.0</td>\n",
       "      <td>journal-article</td>\n",
       "      <td>False</td>\n",
       "      <td>0378-1127</td>\n",
       "      <td>Forest Ecology and Management</td>\n",
       "      <td>Elsevier BV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Biology (fond.)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5326</th>\n",
       "      <td>10.5595/001c.18160</td>\n",
       "      <td>publisher</td>\n",
       "      <td>True</td>\n",
       "      <td>Agent-based model for simulating households’ s...</td>\n",
       "      <td>2020-11-30</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>journal-article</td>\n",
       "      <td>False</td>\n",
       "      <td>2185-8322</td>\n",
       "      <td>IDRiM Journal</td>\n",
       "      <td>Journal of Integrated Disaster Risk Management</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Engineering</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>21457 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    doi               oa_type  is_oa  \\\n",
       "1          10.1371/journal.pone.0168349  publisher;repository   True   \n",
       "2        10.1016/j.jpowsour.2016.10.037                closed  False   \n",
       "3        10.1016/j.jpowsour.2016.10.035                closed  False   \n",
       "4              10.1021/acs.jpcc.6b09974             publisher   True   \n",
       "5              10.1021/acs.jpcb.6b09664                closed  False   \n",
       "...                                 ...                   ...    ...   \n",
       "5322  10.1016/j.postharvbio.2020.111350             publisher   True   \n",
       "5323          10.1101/2020.06.02.128975            repository   True   \n",
       "5324       10.1007/978-3-030-39165-2_21                closed  False   \n",
       "5325       10.1016/j.foreco.2020.118672                closed  False   \n",
       "5326                 10.5595/001c.18160             publisher   True   \n",
       "\n",
       "                                                  title published_date  \\\n",
       "1     Prediction of Left Ventricular Remodeling afte...     2016-12-30   \n",
       "2     A critical review on gas diffusion micro and m...     2016-12-01   \n",
       "3     Decohesion and rupture mechanisms of a multila...     2016-12-01   \n",
       "4     Local Structure-Driven Localized Surface Plasm...     2016-12-19   \n",
       "5     Effect of Sodium Oxide Modifier on Structural ...     2016-12-19   \n",
       "...                                                 ...            ...   \n",
       "5322  SlMAPK3, a key mitogen-activated protein kinas...     2021-01-01   \n",
       "5323  Paleoclimate and current climate collectively ...     2020-06-03   \n",
       "5324  Product Innovation Determinants and Export Per...     2020-01-01   \n",
       "5325  Growth dynamics of fast-growing tree species i...     2021-01-01   \n",
       "5326  Agent-based model for simulating households’ s...     2020-11-30   \n",
       "\n",
       "      published_year            genre journal_is_in_doaj        journal_issns  \\\n",
       "1             2016.0  journal-article               True            1932-6203   \n",
       "2             2016.0  journal-article              False            0378-7753   \n",
       "3             2016.0  journal-article              False            0378-7753   \n",
       "4             2016.0  journal-article              False  1932-7447,1932-7455   \n",
       "5             2016.0  journal-article              False  1520-6106,1520-5207   \n",
       "...              ...              ...                ...                  ...   \n",
       "5322          2021.0  journal-article              False            0925-5214   \n",
       "5323          2020.0   posted-content              False                  NaN   \n",
       "5324          2020.0     book-chapter              False  2363-6165,2363-6173   \n",
       "5325          2021.0  journal-article              False            0378-1127   \n",
       "5326          2020.0  journal-article              False            2185-8322   \n",
       "\n",
       "                                           journal_name  \\\n",
       "1                                              PLOS ONE   \n",
       "2                              Journal of Power Sources   \n",
       "3                              Journal of Power Sources   \n",
       "4                   The Journal of Physical Chemistry C   \n",
       "5                   The Journal of Physical Chemistry B   \n",
       "...                                                 ...   \n",
       "5322                 Postharvest Biology and Technology   \n",
       "5323                                                NaN   \n",
       "5324  Developments in Marketing Science: Proceedings...   \n",
       "5325                      Forest Ecology and Management   \n",
       "5326                                      IDRiM Journal   \n",
       "\n",
       "                                           publisher  \\\n",
       "1                   Public Library of Science (PLoS)   \n",
       "2                                        Elsevier BV   \n",
       "3                                        Elsevier BV   \n",
       "4                    American Chemical Society (ACS)   \n",
       "5                    American Chemical Society (ACS)   \n",
       "...                                              ...   \n",
       "5322                                     Elsevier BV   \n",
       "5323                   Cold Spring Harbor Laboratory   \n",
       "5324               Springer International Publishing   \n",
       "5325                                     Elsevier BV   \n",
       "5326  Journal of Integrated Disaster Risk Management   \n",
       "\n",
       "                                           repositories  \\\n",
       "1     europepmc.org;pdfs.semanticscholar.org;www.ncb...   \n",
       "2                                                   NaN   \n",
       "3                                                   NaN   \n",
       "4                                                   NaN   \n",
       "5                                                   NaN   \n",
       "...                                                 ...   \n",
       "5322                                                NaN   \n",
       "5323                        pure.mpg.de;www.biorxiv.org   \n",
       "5324                                                NaN   \n",
       "5325                                                NaN   \n",
       "5326                                                NaN   \n",
       "\n",
       "                                  scientific_field  \n",
       "1                                 Medical research  \n",
       "2                                      Engineering  \n",
       "3                     Physical sciences, Astronomy  \n",
       "4                     Physical sciences, Astronomy  \n",
       "5                     Physical sciences, Astronomy  \n",
       "...                                            ...  \n",
       "5322                               Biology (fond.)  \n",
       "5323  Earth, Ecology, \\nEnergy and applied biology  \n",
       "5324                               Biology (fond.)  \n",
       "5325                               Biology (fond.)  \n",
       "5326                                   Engineering  \n",
       "\n",
       "[21457 rows x 13 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_complete = pd.concat([df_publi_ok, df_publi_missing2])\n",
    "df_complete"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Les publications de l'Université de lorraine ont été enrichies par l'ajout du champ \"scientific field\" produit par le Ministère. En revanche, les données lorraines couvrent la période 2016-2020, alors que le Baromètre national s'arrête en 2019 : l'information du domaine disciplinaire sera donc absente pour l'année 2020. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_complete.to_csv(\"Data/outputs/publis_lorraine_completes.csv\",index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<span style=\"color:green\">**La liste de DOI enrichie par les informations présentes dans l'API Unpaywall et par le code du Ministère permettant de connaître la discipline a été stockée sous forme de fichier CSV dans le dossier Data > outputs.**</span>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Avoir le fichier en format Excel lisible par les humains :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_complete.to_excel(\"Data/outputs/publis_lorraine_completes.xls\",index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A partir de ce fichier, il est très simple de construire des requêtes. Exemple : combien de publications auprès de l'éditeur Springer International Publishing ont été recensées dans le jeu de données pour l'année 2019 ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "springer_publishing_2019 = df_complete.loc[df_complete['published_year'] == 2019.0,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "publications_springer_publishing = springer_publishing_2019.loc[springer_publishing_2019['publisher'] == \"Springer International Publishing\",:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th {\n",
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       "    }\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>doi</th>\n",
       "      <th>oa_type</th>\n",
       "      <th>is_oa</th>\n",
       "      <th>title</th>\n",
       "      <th>published_date</th>\n",
       "      <th>published_year</th>\n",
       "      <th>genre</th>\n",
       "      <th>journal_is_in_doaj</th>\n",
       "      <th>journal_issns</th>\n",
       "      <th>journal_name</th>\n",
       "      <th>publisher</th>\n",
       "      <th>repositories</th>\n",
       "      <th>scientific_field</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11724</th>\n",
       "      <td>10.1007/978-3-030-22734-0_7</td>\n",
       "      <td>closed</td>\n",
       "      <td>False</td>\n",
       "      <td>Reinsertion Algorithm Based on Destroy and Rep...</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>book-chapter</td>\n",
       "      <td>False</td>\n",
       "      <td>0302-9743,1611-3349</td>\n",
       "      <td>Computational Science – ICCS 2019</td>\n",
       "      <td>Springer International Publishing</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Biology (fond.)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11726</th>\n",
       "      <td>10.1007/978-3-030-26102-3_6</td>\n",
       "      <td>closed</td>\n",
       "      <td>False</td>\n",
       "      <td>A War-time Secret Police: Activities of the Ge...</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>book-chapter</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>European Police Forces and Law Enforcement in ...</td>\n",
       "      <td>Springer International Publishing</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Social sciences</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11727</th>\n",
       "      <td>10.1007/978-3-030-26102-3_21</td>\n",
       "      <td>closed</td>\n",
       "      <td>False</td>\n",
       "      <td>“The Penetration of French Ideas”: The Role of...</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>book-chapter</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>European Police Forces and Law Enforcement in ...</td>\n",
       "      <td>Springer International Publishing</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Social sciences</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11728</th>\n",
       "      <td>10.1007/978-3-030-34578-5_10</td>\n",
       "      <td>repository</td>\n",
       "      <td>True</td>\n",
       "      <td>Verifiable Delay Functions from Supersingular ...</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>book-chapter</td>\n",
       "      <td>False</td>\n",
       "      <td>0302-9743,1611-3349</td>\n",
       "      <td>Advances in Cryptology – ASIACRYPT 2019</td>\n",
       "      <td>Springer International Publishing</td>\n",
       "      <td>HAL;pure-oai.bham.ac.uk;research.birmingham.ac.uk</td>\n",
       "      <td>Computer and \\n information sciences</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11729</th>\n",
       "      <td>10.1007/978-3-030-34621-8_6</td>\n",
       "      <td>repository</td>\n",
       "      <td>True</td>\n",
       "      <td>Forkcipher: A New Primitive for Authenticated ...</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>book-chapter</td>\n",
       "      <td>False</td>\n",
       "      <td>0302-9743,1611-3349</td>\n",
       "      <td>Advances in Cryptology – ASIACRYPT 2019</td>\n",
       "      <td>Springer International Publishing</td>\n",
       "      <td>backend.orbit.dtu.dk</td>\n",
       "      <td>Computer and \\n information sciences</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21042</th>\n",
       "      <td>10.1007/978-3-030-30806-3_17</td>\n",
       "      <td>repository</td>\n",
       "      <td>True</td>\n",
       "      <td>Reachability of Five Gossip Protocols</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>book-chapter</td>\n",
       "      <td>False</td>\n",
       "      <td>0302-9743,1611-3349</td>\n",
       "      <td>Reachability Problems</td>\n",
       "      <td>Springer International Publishing</td>\n",
       "      <td>pure.rug.nl;www.rug.nl</td>\n",
       "      <td>Computer and \\n information sciences</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21052</th>\n",
       "      <td>10.1007/978-3-030-22102-7_3</td>\n",
       "      <td>repository</td>\n",
       "      <td>True</td>\n",
       "      <td>Theory Combination: Beyond Equality Sharing</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>book-chapter</td>\n",
       "      <td>False</td>\n",
       "      <td>0302-9743,1611-3349</td>\n",
       "      <td>Description Logic, Theory Combination, and All...</td>\n",
       "      <td>Springer International Publishing</td>\n",
       "      <td>HAL</td>\n",
       "      <td>Humanities</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21062</th>\n",
       "      <td>10.1007/978-3-030-29249-2_17</td>\n",
       "      <td>repository</td>\n",
       "      <td>True</td>\n",
       "      <td>Improving Analogical Extrapolation Using Case ...</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>book-chapter</td>\n",
       "      <td>False</td>\n",
       "      <td>0302-9743,1611-3349</td>\n",
       "      <td>Lecture Notes in Computer Science</td>\n",
       "      <td>Springer International Publishing</td>\n",
       "      <td>HAL</td>\n",
       "      <td>Biology (fond.)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21064</th>\n",
       "      <td>10.1007/978-3-319-38884-7_21</td>\n",
       "      <td>publisher</td>\n",
       "      <td>True</td>\n",
       "      <td>Correction to: Solving an Infinite-Horizon Dis...</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>book-chapter</td>\n",
       "      <td>False</td>\n",
       "      <td>2194-5357,2194-5365</td>\n",
       "      <td>Advances in Intelligent Systems and Computing</td>\n",
       "      <td>Springer International Publishing</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Computer and \\n information sciences</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4931</th>\n",
       "      <td>10.1007/978-3-030-23531-4_7</td>\n",
       "      <td>repository</td>\n",
       "      <td>True</td>\n",
       "      <td>Some Properties of Orbital Varieties in Extrem...</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>book-chapter</td>\n",
       "      <td>False</td>\n",
       "      <td>0743-1643,2296-505X</td>\n",
       "      <td>Progress in Mathematics</td>\n",
       "      <td>Springer International Publishing</td>\n",
       "      <td>HAL</td>\n",
       "      <td>Mathematics</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>171 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                doi     oa_type  is_oa  \\\n",
       "11724   10.1007/978-3-030-22734-0_7      closed  False   \n",
       "11726   10.1007/978-3-030-26102-3_6      closed  False   \n",
       "11727  10.1007/978-3-030-26102-3_21      closed  False   \n",
       "11728  10.1007/978-3-030-34578-5_10  repository   True   \n",
       "11729   10.1007/978-3-030-34621-8_6  repository   True   \n",
       "...                             ...         ...    ...   \n",
       "21042  10.1007/978-3-030-30806-3_17  repository   True   \n",
       "21052   10.1007/978-3-030-22102-7_3  repository   True   \n",
       "21062  10.1007/978-3-030-29249-2_17  repository   True   \n",
       "21064  10.1007/978-3-319-38884-7_21   publisher   True   \n",
       "4931    10.1007/978-3-030-23531-4_7  repository   True   \n",
       "\n",
       "                                                   title published_date  \\\n",
       "11724  Reinsertion Algorithm Based on Destroy and Rep...     2019-01-01   \n",
       "11726  A War-time Secret Police: Activities of the Ge...     2019-01-01   \n",
       "11727  “The Penetration of French Ideas”: The Role of...     2019-01-01   \n",
       "11728  Verifiable Delay Functions from Supersingular ...     2019-01-01   \n",
       "11729  Forkcipher: A New Primitive for Authenticated ...     2019-01-01   \n",
       "...                                                  ...            ...   \n",
       "21042              Reachability of Five Gossip Protocols     2019-01-01   \n",
       "21052        Theory Combination: Beyond Equality Sharing     2019-01-01   \n",
       "21062  Improving Analogical Extrapolation Using Case ...     2019-01-01   \n",
       "21064  Correction to: Solving an Infinite-Horizon Dis...     2019-01-01   \n",
       "4931   Some Properties of Orbital Varieties in Extrem...     2019-01-01   \n",
       "\n",
       "       published_year         genre journal_is_in_doaj        journal_issns  \\\n",
       "11724          2019.0  book-chapter              False  0302-9743,1611-3349   \n",
       "11726          2019.0  book-chapter              False                  NaN   \n",
       "11727          2019.0  book-chapter              False                  NaN   \n",
       "11728          2019.0  book-chapter              False  0302-9743,1611-3349   \n",
       "11729          2019.0  book-chapter              False  0302-9743,1611-3349   \n",
       "...               ...           ...                ...                  ...   \n",
       "21042          2019.0  book-chapter              False  0302-9743,1611-3349   \n",
       "21052          2019.0  book-chapter              False  0302-9743,1611-3349   \n",
       "21062          2019.0  book-chapter              False  0302-9743,1611-3349   \n",
       "21064          2019.0  book-chapter              False  2194-5357,2194-5365   \n",
       "4931           2019.0  book-chapter              False  0743-1643,2296-505X   \n",
       "\n",
       "                                            journal_name  \\\n",
       "11724                  Computational Science – ICCS 2019   \n",
       "11726  European Police Forces and Law Enforcement in ...   \n",
       "11727  European Police Forces and Law Enforcement in ...   \n",
       "11728            Advances in Cryptology – ASIACRYPT 2019   \n",
       "11729            Advances in Cryptology – ASIACRYPT 2019   \n",
       "...                                                  ...   \n",
       "21042                              Reachability Problems   \n",
       "21052  Description Logic, Theory Combination, and All...   \n",
       "21062                  Lecture Notes in Computer Science   \n",
       "21064      Advances in Intelligent Systems and Computing   \n",
       "4931                             Progress in Mathematics   \n",
       "\n",
       "                               publisher  \\\n",
       "11724  Springer International Publishing   \n",
       "11726  Springer International Publishing   \n",
       "11727  Springer International Publishing   \n",
       "11728  Springer International Publishing   \n",
       "11729  Springer International Publishing   \n",
       "...                                  ...   \n",
       "21042  Springer International Publishing   \n",
       "21052  Springer International Publishing   \n",
       "21062  Springer International Publishing   \n",
       "21064  Springer International Publishing   \n",
       "4931   Springer International Publishing   \n",
       "\n",
       "                                            repositories  \\\n",
       "11724                                                NaN   \n",
       "11726                                                NaN   \n",
       "11727                                                NaN   \n",
       "11728  HAL;pure-oai.bham.ac.uk;research.birmingham.ac.uk   \n",
       "11729                               backend.orbit.dtu.dk   \n",
       "...                                                  ...   \n",
       "21042                             pure.rug.nl;www.rug.nl   \n",
       "21052                                                HAL   \n",
       "21062                                                HAL   \n",
       "21064                                                NaN   \n",
       "4931                                                 HAL   \n",
       "\n",
       "                           scientific_field  \n",
       "11724                       Biology (fond.)  \n",
       "11726                       Social sciences  \n",
       "11727                       Social sciences  \n",
       "11728  Computer and \\n information sciences  \n",
       "11729  Computer and \\n information sciences  \n",
       "...                                     ...  \n",
       "21042  Computer and \\n information sciences  \n",
       "21052                            Humanities  \n",
       "21062                       Biology (fond.)  \n",
       "21064  Computer and \\n information sciences  \n",
       "4931                            Mathematics  \n",
       "\n",
       "[171 rows x 13 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "publications_springer_publishing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "publications_springer_publishing.to_csv(\"Data/outputs/publications_springer_publishing.csv\",index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <span style=\"color:orange\">Générer les graphiques</span>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Les graphiques présents sur le site du Baromètre national ont été écrits en JavaScript. Afin de rendre plus facile l'utilisation de ce Baromètre local, la génération des graphiques a été ici pensée en Python, grâce aux librairies Pandas et Matplotlib."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importer les libraires nécessaires"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### *Proportion des publications 2019 en accès ouvert (mesuré en 2021)*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Il faut commencer par déterminer les données qui vont être utilisées pour réaliser le graphique : compter le nombre de publications parues en 2019 et les isoler dans la variable \"pie_data\". **Bien que ce calcul soit réalisé en 2021, il est plus pertinent d'utiliser les données 2019 que les données 2020 pour ce graphique. En effet, les délais d'embargos pouvant monter jusqu'à 12 mois ne permettent pas de juger en 2021 la réelle ouverture des publications de l'année précédente**.\n",
    "\n",
    "<span style=\"color:red\">**Pour mettre à jour ce graphique, changer l'année ci-dessous et modifier le titre du graphique au niveau de la fonction plt.title.**</span>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Isoler l'année 2019 :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "pie_data = df_complete.loc[df_complete['published_year'] == 2019.0,:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Définir les deux niveaux dans le graphique : accès ouvert ou non (variable \"oa_yes_no\"), type d'accès ouvert (variable \"type_oa\") :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Accès fermé global     1982\n",
       "Accès ouvert global    2228\n",
       "Name: is_oa, dtype: int64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "oa_yes_no = pie_data['is_oa'].value_counts().sort_index()\n",
    "oa_yes_no = oa_yes_no.rename({False: 'Accès fermé global', True: 'Accès ouvert global'})\n",
    "oa_yes_no"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Accès fermé                  1982\n",
       "Editeur                       400\n",
       "Editeur & Archive ouverte     795\n",
       "Archive ouverte              1033\n",
       "Name: oa_type, dtype: int64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type_oa = pie_data['oa_type'].value_counts().sort_index()\n",
    "type_oa = type_oa.rename({'closed': 'Accès fermé', 'publisher' : \"Editeur\", 'publisher;repository' : 'Editeur & Archive ouverte', \n",
    "                         'repository' : 'Archive ouverte'})\n",
    "type_oa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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9v9TbDzNW6JEeQdVVuzOYmpDo3PXghrR04e4MJHemLyG4s/U0bm7zDFx2LrlxmYYbnfDJMSMfvvu13tveTG97yR96Ga4A3A2+3y10bIn3pxN3V7AXlwgYwg0L3Iw74P0dgWdIXY0iq2JRXrb7LaSeOAZwwyvbcXdV/KsArMCttfyLDF5mGm6o32O4A+pIUovznWCM+bG1tjOb+D3nEXzxvAX3fkzDZUIzbdzOITUJZXF3a9q87R3FyONtDe7E+Jekx04g9WS4Czdssxd30dGEu3gKuigZr/Hs8xNhHu59eAQ3bHklwSN1zgT+WsA4Lid43+jCfeadDC9jOtqF6hDuWO3AFY46iMuaN3m/m3zyW4RLPiRGHiRWWqomNXGQXFg6oW20PyiNQrdj07x/n/W+gtqNRtyxmHz3LWgFiS3eNvpxbdMc3HFS6HMcBJ/n/MNgZ6aJJaX9stYOpLmj0kRh7vgFdVqCpkimmzaZaZLL7wrc35QsUTy1E3ds+1/zFcaYTKcrTcOdlx7BHZtrGN7nEs40xvxmPNPivJg3e69xADesvprhESX+1/tjwFDvcbUpxphFuIupoE7pRmCr9/85uGMsaF+8gvx8HkHH5wbcdJZB3N3fed7XeG+8vYHU/c96Me/G/T2HM/J9SVx4fn2crx3IWmuNMfcC5yc9PBP3vm/wPf3EgE345+5fQWGPk8T+9CxuSkUlbpRuDcMrqJxA6oXm3bhzVrIesuBdSC31PZzLUti1uGM9uSB0cvtpGF5V6wDwEO4YXcPIfaMGN8rQfze/VPp4mcrkGuyVpJ6vB3HXJHu95x7ByGP8bGPME9atCpUVY8xM3PHub+N24do4i+sTJl8r1AJXGWNuyGAaeOLcsBf3N9eSun9EcP3LjEeBZ8NLxvqTgJC6wERQIifdyPegxxuNMSbLqfGHk7pPduLajInibxvKcAkcf7uaVt47hF4jNhs3fDJoNMIjGW5qE/Dl5Ita4+bQJnb+0wN+Z0RtAOPmP17LyKFBS40xR2U4RP+H1trbk7Z3FO5OSvJBsMQYs9xau2GCY3sYN5Q8uRBOZeJ74+bp+ZMej41WnyBDJ+I6K8l6cMVzDk1nMsa8iNS7WmcbY2611naN8RpDuM/+MW9btbi7Ockn/giuA5h27mcQL2lzVsCPbgd+lGgEjDGLgfcwxonHuxve4nv4IG5O7rNJz2vC3a1JvotwgTHmzqT5ff5h5htx7+uIeYneXeNluBPoWKOmspX1Pj+BOoBPJS4YvM/yClI72S+iQEkPY0wzwe3ancCPk2sEeG3halIvUgaA/wWeTJ5/GfA6H2Tk+34cXtLDOzYe80ZV+JMeKYWlszWB7djvrbW/8rZlcAmTE3zPWcnIpIf/OLnfWntTwN9Q7v2uf/h43hhjTmVkcU9wUwb8NWqq02wiqJgYuAtnf9Ij3TbG63HcqJtky40xL8dVee/F7cfn+38x17iMMUtJnbKzBddudiU97zjcVMfEcRABLgS+msHL9OLaz83etv6AqxeV3AbX4pINuVxobcVVrt84ypSVF+OGSydEcBdktyU9Jx9tyktJTSB0AF/117HwRkecizvPJh7L5+fhPz5vtdb+3P/HeUO0Dyf1+MmIMWY57oZIsiHgS74aDv6Ywd00+Z0dpd7YON1D6vFyIkmdc+887v/cNyQPx5+g48QC37W+ulq+/uQiUpMev82hfodfHanXIWP1D4MM4ZZHfQrAGLMaN4LFbz+uvkq797zzgJf7nrOKpKRHCfbxMrWJ9NdgM3BLoCbbB3wmOaGbpn+wFnf9kq3zSZ1K8TvgN0n99ihuqltyMrEZN0rqoQxe4wngK4k21xjzQlILlQclJfLlVaReczyVOIclCTrnjtaX8DPeNjKqjegdA0GjFG8Pqk9SQEE3ubMapZav6S2rjDFfM65ozo3AxwgeGjUE/CGD7Q0BX/ffxU+6wD+W1Nif9Dfa3sk+qMhaJuv7Ppt88edt71FcgRy/5LnaExFbN/At66u+6/++QII6Z3+0vsJN1trbSO1IlpPaSQnyoE0qiujNv70v4Hm53GFcTGqRoG7gZ8lZT+8OSSYXzqtIXTLqz9ZXtMzryPhXLapn5Lw8/+dXTcCQcmvtoLX2aWvtj3Ic6ZJOrvv8RPl98gnV6yj8iNROwZwshjRmy39BDq7j8n3rK4ponUettXf6Hh+01j5kre0xxswyxpxojDnfGPMyY8wlxphLcIkc/8kq6yGJ4zAR7Vg7rtOS2JbFXej5+Ud5+RNFtd5JeQRrbb+19nFr7fcyiCVrXsf6Mv/LAjcHjGZMN+81sNAa7o6ZX0Hu/HltVVAdkfOATwFfwCWj0iU3chmqHZSI+qk/IW7d/Hp/LYSjgj7vAHckdxa9C7SgYrs5jVSx1u6xbkWdIWPMYmPMacaYi4wxL086joOmNPmP43G1KV7yIOi8+h1/wsPbRoe19me+hGs+Pw//8VlvAqbmWWt7rLUPBiVEMhTUF7k3OeHhvc6/SL3gMaTW4ckb64oA+9/7E3zTHY4kdcSsf5THRBwn9/jbdW+bE9Gf9I+8AjcSI1sPJhIennUEt61/SCQ8PJn0K0upj5epTK7B/Mf0b6xvBJvX/viPvUXZ9s+848Z/vO8hKeHhvd4g8NuATQS1sUF+6mtz7yR1P8p1ZOOojCuQ7L+B1Q18N+DpQcd1Nn0JyLA/4d08egupIxE3AfFMtpFHQW2D/3puVBMx9DdhCFdAavuYz4Sn/QePz5KAx9KNIHkEd+d3rN/3S7cSwWOkHkDJQ1iDtp3v2B4M6FRPlCUBj4329/mXVFoC/GOM1wj6eXvAY7nc+fTHA7De37n0PIa7IzYa/9BMgAuNMRdmGM8yhosPPYGrGp0wD/hvY8x23Ly8nbghwutt0tKZeZTrPj9RUkYOWGu7jTHPkJp9X0RuUzrGEvR535l84s2EcXUpXkF29RBS5hoX0JKAx/Ldjj0QcJcg6Dj3dwrXMbIDdDjwWWPMNoaPk624u6a53DUckzHmBNwdJf859BfW2qAkYbpimVGC7+QFJRIKeRHyLdwS8/4EUyZyORcFHUfXmMzK8SSGtKYUuPXJ9DySrlbJmIwxZ+LqgmRTb8V/HI+3TVlM6v6y12ZXcDqfn8c6RiZ2ngccm+b4DJqDnqklAY+N1kb5E7FBv59P9zBy+P903HkqcXHun9rST+pSrRNxnGS0clqBBPXhspoi4xkxndC6oocHSE2q+KcdZtIelFIfL1NjXYMFvSevN8a8PuDxIMvIrn/WSOpn2QjcmOGx4J+GE2SrtXZr8gPWTTXtZmSbnfP5IoiX0HklI/cLcH2G/7XWBr1PQf2JdDcf0j0+Zn/CS6i/jdTpc7twI2ImehRSUNuQ1XXgRCU9ngJ+bq3dlOHzR13uieDOf7q5zkHzlYOyy5n8XrrXqUvz/9F+J91rZBLbWO9PIQXFl817let7H5SUyKXgmz9jD+k/n0zmz2fy94zmUJbSWvuoMeZBRnbOynAX8COSNcZVeP6ttTbT6WKZyHWfnyjpPo+gzkGh4gv6vLNabtEYswY3FDnbkXYTUiXbMxHtWNDQ6EyO87/hLqSSO14VuIuYJUmPWWPMk8Cvgu5458q70L00IK7/s9bemubX0l3cVRCc9Aj6rMdzgTgq65bKvR5XyO1EgtvWp3GdLf8St7kklsZ7fGZydydo/wp6r3Ma8WqMeRWpHdVM+D/b8bYpQe9FtkvA5vPzuAWXlEy+m1vN8MpoCUPGrabyywxvhvkFxZzvvsh43IcbEp48tP8k4Cnv7qk/CfMvmzrdcSKOk61jP6Vggtq0XC4qM+0zjtgPvIta/3P8D5RSHy9TuVyDZSOru/MT9Hrppmr596O8FVD3pmhfjuvPJOvFJTyeTv0tIPi4Sdc/DBrRYRkjuWiMmYZbPMB/o3gX8Dk7jtUzxyEowZFVvyhfSQ9/4bxBhteo32izn/c31h8RtNNldad1HMba4ScitoJ1fotEUCe6kJ/vRO07QfwN0o24yvcvwI2mSLe/LcGt6BGz1gYN0cynXFcTCCqUFJR0KoQwP9O0vJPcayn8ylnjNRHtWNBQxXRDNIeDcMu6fQY3uuR0XGHCIAY3CmSFMeZzNg81aIwxF+DqJ4wICVcLZ7TpcHtxF9z+c249qcuGlhPc8c946b1ceNMIY8aYn+PqQTXiOlLtuKlNm40x1wb86kQWMksYc2iuDV6WdMz9KxPGVfD3j24qJhPd/h36PKy1XcaYT+CmR51C8JLI4NrANcBhxpjrbRZLS3oKvnrTeM5h3ijEhxg5ouN4Y8wPcdND/cd4IUZcZDKEPcz+ZFBfL5c+QlCCI+UYSDOit9Amoo+XmrlxtfByVeh9YqKLtGbyeummVeXlnOHnneffROqqTAdwtVRGu1ETNPojXWIn6PE91ldHxhdbI26VHH8B5c24mklhJDwgeOWlrKZ/5SvpMe7CeVkK+iPTnViDHs/kTUq3vaClkpIb7omILUydpMY9k+C4g4b8hv33BTVs6T6fTIYsB/09j5H5nbZNyd8k1TW407il0xbhLuoSK3osSXq6wRWFylfSI9d9HoI72RWkDqEbz3zIGQQ39kHx5TIvOBOdpBbynUvmqyAtJfUk1Av8BDcEuzNxMjLG/HfAcydKUbdj3rDKW4BbjDENuM5jE+5YWcXI+adluOWYv5jr63lDUF9F6oXuAPBNa61/tRx/vIPGmK2kTmeaS2pb4d+/ALqstYVYuSWF9zopF2Bee+QvOtmeZvjtWIKOo7vIfApPLiMD8ulYUi80dgI/xrXp3dZaa9wSlf81xrbG26YEdUCD9qFsY8j58/CmrfwS+KUxZhautsls7zUOZ+Q0qmrcNNJsa+8kVi5JNhPfOdWTSV+kEOewexiZ9KjDJRT9U1v2MTwFwh9jQY+TbKdm5lkXqcngQo/AyVax9fGCLlaDlu0sSO0JT9B7ch/B04WC+JcezeX19jKywPmkYdwS5W8jdVr2PlxB3rGO2+dw7VXyOajeGFMTUPrA30Ymfj9dbPNxIzz8/eqncFNacpl+li9B/eGspoFNZE2PfNpE6nCgo4A/Bjw3qODipgxeYzXwq4DHgwqGJQ8Fm4jYMhHUMObj7vImUi9yjiK1iBakVh1P/H6Ygqr0rzDGlAfcBcik6OqmgMfaMkkCGmMio2VbvXoET5BUZNAYcyUjVyuZk6ahy0Wu+zwEd8IacBcCwKGLJv+KQtlYjVtl5xDjlvgKml+ay2oMmXiG1PmNzzfG3JNh5zEoQXC3tfau5AeMWz0lk4RHIY/zYmjHxuTNfT504vMSFO9hZAG5oH0kI6MMQe3BrY4RdLES5FFSkx5HkLoCVdDxFsYQZ7+XktpnyPXu9CZSj6PHx0oewdjt5gQJOo5/aZMKcHsy2e/G26Y8h2sHko/7mcaY1QHxpLMpIIa8fB5ebYDkFR3KgP9kZOIjl+NzE6kXDUeReeHtTb7vC3EOexx3IZi8wsBppPaN7k3zWW+iOI6TgpxnrLVDxphnGZlMDaq7FqZNAY+F2ccL2k+DknonjRXfOGwCTvU99uwo0zsPyXG/3ItLfCQnxKpwNbTGrCvhncOLwijTRnYAX8jk5oZ1RfDXk9r+HU5q+5dxf8JbbeftpI62+hdutdCwVhJK8L9nA2Q50rRodoQsPURqI3y4ccu0HuJ9gC8I+P1MljltNsac5dvekQRXAU4uGDYRsWUiqGHM9u5PkKDM6jnGmBGFLY1bsta/g/aTWkhqoj1H6p2xGuDlyZXVjVui7awMtvcUqYX8zjTGnOqr1H6IMWahV6n5Bt/jxxpjLva/l0k/NwTPbcxX8jLXfR6SOrVJDu3f3knnFQTfkcjUhd5dw+RtXkLq378rx7vPmQjqUC8DLvWGK45gjDncGJO8tFvQSWOBb9+rxRXJzETQcd5kAlZLyFKxtGMpjDHPN261G//Qy4QyUud+5nSMeJ/p1aQmPDqBz2aR8AB319d/YXOad2cl8XoNBE+b8K8KkFdem3SWl0T0/6zcGPMy4Ezfj3rxJSGzEHQeeY1xy7cGxRc1xhxmjLkM93mELagivv8cOB/X5o1lXG2Kd+ctKLlxhXd8+n+/1rgVZpKnV+Tt8/COzSDw/5QAACAASURBVBcat6xlkEpSh5vncnwGxXyqMWZEUsK45Vz99TMsqatK5P0c5l3c/d338Imk/v3+VVsSiuU4KVR/ElytoGQLvcRYsSi2Pl7Qfrra1zdaRGp7nU8Pk9o/uMi4Fc1SGGeZcXWQPpDti3kJQX+fogZoDTpnea9Z531G72FkEik0xk0beR+p10bPAJ/OcjRn0A2Hi5Lbda8t9Cc9ehhZjiLx3NW4KS3+hMcdwNeKIOEBqcnxTdlOWSumhiVj1tq9xpi/kbpO9OVep3wbLkN/FKmVazdlUdX8NcaYE73tNeLuNPsbuWeT54pPYGxj2Rnw2BpjzLu8nyU6bb+y2S1Ndh+uWn3yCa8a+KAx5lHcXY2FpA6DBrfMV0FWU8iUd2fhr8BLfD86G7f08kbcSecYMjg+rLW9xpg4I9d6jwBX4BqgZ3EXSBW4bPxC0g/fnIZbi/x8Y0wnrsDYXlyHowrXEfbXL+gmv1MJst7nPU+RugTgi7yOfxsuIz3eTlI98B/GmEdwf3e6bd42ztdJy1q7yRjzL1KXTzsTN197HW7IbmIEymxfPEFZ6VXAR7zMfQ0uW5/NvPEuRnaU6oEPefty4oRwt/UtKz3GdoulHQsyE9cGXWyM2efFsh9XZLMG9376L7iC2sNMvJ7UObfgOinPM8b4kyGH+O8EWmvbjDG3M3I59wrgA8bN/R/AHUMpd1nSFTQzblnUZP5l5cB1iP1JoN/5al5MwxUx/TfjCujtwL2f0wleshHc8n45rTBgrd3onS+S78BPw+23m3Cf10HcuWU2bnpE4kIxeWnKsASNbLzQGLMS997NxHU2x7yxlIc2BeDXuLY6+fXqgfd77cAWXDs+G3duLidpucE8fx7zcBcZrzbG7MYdnx24/bsO1775L+yyPj6ttRuMMY8zslMfAd7pPd6GO18eTuo57H5r7TbfY4U6h93D6KvAbbRuidsURXScBNVbeYN3Lk706bZb3/LsGXoSaEn6vgzXT9qUw7byrgj7eNtw03eT2+Qa3HnkQe/xoxnfDaZRef2DOxl5w6MSeIdxqzRt9WKsxPUjFzJcjyHbGo8Jf8DdfEj+u47Dnd+eYrhIbR3uOJ3D8HEf5gpFyd5H6rSRIdz7dWGaHBq4kUV/8T12L+66JTmBsgD4qDHmMdx+cAypbV/KNZ/Xxr2N1L5cF64P+apRYnssaEShMeYiRtbgCEqCLwnow9weVN/Ju5HnX+49m5tOwCRNenh+gnsD/BnvlaQO+UnoBG7KcPvbcQfOaNsbAG4OIbZMbMc1Lsnz+gxuaGbynZDfk8VSiF7S4Ebg/YzcoctIvZuSbD2uY1YMbsHdbfF3YBYy8m7dPjKr63Er7mTl//tnkdsSkOBOjodn8Lysl0sdxXj2+b/jEkn+4mz+/c1/gZ6NvbiLCf986GQbcZnpQvoubp6kf/+pY/TYsNbuMW7FAv+F9Dzf9rbgLloymeLyKKkjEfz78nqyX/WpGNqxscwgs2N0tCKjowmqFwPBiRC/oOHPv8S1FcnvaSVwcppttAE/GOU1MimmuZTUOyS3EVz3JuLFN9YSf7fkeIGT7Nu488hs3+NLKPxyouP1AO4iyH98rmLkdITHSF3tJkjObQqAtfY54wpkvjbgx5l8nlCYzyPTc2Cux+e3cHeO/f2c0d7zncD3Ax4vyDnMWrvNuzBOtzx5ulEeCd8m/OPkUeAc32M1jLyD/giuVkW21pE6deE4iiTp4SmaPp5XH+oOXPLEv73kmxTj6Wtl4qe4/oH/3DKf4OT7uHh9p2/iin8mX4FXEDx9rRgF9SciuMK2o3kKGJH08K7FvombypucAJsxyvYe8m/HU0fw0rZ1jN3HOEjwSMPTGLuujL/fC25ET1CSdTWpK9RkXc9wsk5vwVrbB3yO1HXN09kI3GAzX0nmVoJ3joQ+3JCflNoBExDbmLxG8mcUoIq7tXYHbtheJnOpLC7L+sUiGR6VqOD9RUa/u7QFV2U7k+1Z4Gu4THTQsOfAXyM1S5ntZ/UP8ptIGs8+3wl8h/SVri0u2XT7OOL7PMFDOxM24wotFXS+vze39lNkfnz7fZfRC8ztBP6X4Ir0QX5L6vDbcSuGdiwPLPAncuuM5503FeELuOHBY9mAm0ITVqX0IJ3Ad621vxjvhrw245NkNxWqD5fAC5V3p+xGRl/l4CFcYdNMtjfeNgVr7R3AVwgubJrJ74fxeQziRgxlWntkBO/Y+CRJNRHG8AjwqaAaWAU+h6VLbPQzRse9GI4TbxqffzpQvrY9ROqd+DETfROpCPt4v2f0Qse7gc9k+VpZ8frRn8cV1s307xrEjezJ9TUfwJ0/0y1NHWQ3uY/0LGreaLXPMXbBYov7nG7K403SieZvEzbYHJY6n8wjPRIdyJgx5hZcUZ2VuMxSNW70QjuuYbgvl5OqtfZH3vC9s3AZ9Rpch+IxIO4V6Aoltgzjf8AML+24DJcJHu9c/8S2dxljrscNozve2/50XCauGzfK5GngbwHDSENnrd1njPkY8GJcwafZuM7OTtyJ5nZGFh8ba3tDuEr1f8FlOA/DZTBrccnFHlxDvQ3X6D8WMDT8blyy5XDc/jYLl2mdlrSN3bih9f8ImGIybuPc5x8wxnwKt1ThSu93O3Gdrz97w5H904qyiW2XMea/cPvz8Qwvp7UTd5fuL9baTDsk42Ld6gQxY8zvcMf3Ci+eatxomA4vrifwdVattZ3GmBtw+96JuH1vEPfZ3g/c5g2pzTSWNmPMx3Hv+xG4TH9ehrYWQzsW4De42kCrcHdPZ+KOkcRdrcRy6RuAe6y1Wycorox4F1xf8ebbnozbd6bjjvEO3PF9H/DgBHZQNuA69Ym2px73flrcMbwVd7f37zaP1du96Y5f9eagPw839WIWbv+yDH+Wm3EXEI9nOR2zYLz27GO4ofmrcZ9hD66Nvxs3/DjdikdB28u5TUnaxsPGmA/izmlH4Y6Pabj2oAs3DWwj7vhJSdjk6fO42fvbV+LuBM/A7UuJ/anb+zuewk27Gy2RPSYv8fEFb2pR4nhqwI3YSJx31+P23VFXxCngOewfwCtJ7XM/GJSACYirGI6TG3H9gpNwfZsq8rds8J9x58NE/3SWMWbZWJ/XRCqmPp61ts8Y8zlcX+gk3FSORP/1fty+2pdpHyJX3j52s69/MIfhUeAHcdcCW3HvyaM2eCnxbF5znTHmOlwf8GiGz1eVuGRfJ26K4TO44yDblWImFWvtFq9ffAruPVmE25/6ce39k7h+0KbQghwn42pb+ace/imnbU3epE/+eCexi3wPf8daWyzzwETySvu8iIiIFANjzGsZWXzzn9baWFjxiEhxMG6BhdckPbQN+K9cbgpN2uktIiIiIiIy6f2OkfXlTjDpV+gSkSnAuFWz/PWEfpnrKFglPUREREREJBTeVJB40kMR3DQjEZm6TmJkseAnrLU51xea1DU9RERERERkcrPW/h5XpFNEBGvt33E1+/JCIz1EREREREREpCQp6SEiIiIiIiIiJUmrt4iIiIiIiIhISdJIDxEREREREREpSUp6iIiIiIiIiEhJUtJDREREREREREqSkh4iIiIiIiIiUpKU9BARERERERGRkqSkh4iIiIiIiIiUJCU9RERERERERKQkKekhIiIiIiIiIiVJSQ8RERERERERKUlKeoiIiIiIiIhISVLSQ0RERERERERKkpIeIiIiIiIiIlKSlPQQERERERERkZKkpIeIiIiIiIiIlCQlPURERERERESkJCnpISIiIiIiIiIlSUkPERERERERESlJSnqIiIiIiIiISElS0kNERERERERESpKSHiIiIiIiIiJSkpT0EBEREREREZGSpKSHiIiIiIiIiJQkJT1EREREREREpCQp6SEiIiIiIiIiJUlJDxEREREREREpSUp6iIiIiIiIiEhJUtJDREREREREREqSkh4iIiIiIiIiUpKU9BARERERERGRkqSkh4iIiIiIiIiUpLKwAxAREZGQtbZEgDpgGlALVCb91GTx/8S/FugFuoADQBexeG8+QxYRERHJhLHWhh2DiIiI5Kq1pQKYm/Q1C5e8qEv6t26M76snINIBEgmQ9P8m/78T2AO0AbsO/RuL901ArCIiIlIilPQQEREpNq0tBmgE5jEyoZH8lfjZjJCiDEs7w4mQHcB272ub79/dxOLq5IiIiExxSnqIiIiEobVlDrDC97UMWAA0AeXhBVcS+nEJkI3Aeu9rw6H/x+IHQoxNREREJoiSHiIiIoXgRmvMJzWxsQJYjptaIuHZSVAyxCVE9oUZmIiIiOSPkh4iIiLj0dpSDqwG1gBHAisZHrVRE2Jkkrt9DCdDngAeAh4kFn821KhEREQka0p6iIiIZKq1ZTouuZH8dSRQEWZYMmH24RIgLgnivh4jFu8PNSoRERFJS0kPERGRIK0ti0lNcCwNNSYpRn240SAPjviKxfeHGpWIiIgASnqIiIgkEhxnACfgkhvH4lZPEcnVs7gEyL+Ae4G7icU7ww1JRERk6lHSQ0REphZXYHQ18HxcouP5wKJQY5KpYBB4GLjL+7qTWHx7uCGJiIiUPiU9RESktLW2VAAnMZzgOA2YEWpMIs5GRiZB1oUcj4iISMlR0kNEREpLa0s9cDrDSY6TgKpQYxLJzG7gbySSIPCAiqSKiIiMj5IeIiIyubW21AAvBM4DzgSOBiKhxiSSH93AP4DbgD/gkiDquImIiGRBSQ8REZl8WlsOA873vs5EIzlkatgJ3IJLgNxKLL435HhERESKnpIeIiJS/NxojrMZTnRo6ViZ6gaBf+ISIH8A7tMoEBERkVRKeoiISHEaHs1xAW40R2W4AYkUtTaGR4HcQiy+J+R4REREioKSHiIiUhw0mkMkX4ZIHQUyFG5IIiIi4VDSQ0REwtPaUge8BLgEaEG1OUQKYTvwc+AnwF2aBiMiIlOJkh4iIjKxWltqgYtwiY7zgepwAxKZUrYynAC5WwkQEREpdUp6iIhI4bmpKxfiEh0XADXhBiQiwBbgZ7gEyL1KgIiISClS0kNERAqjtaUal+C4BJfwqA03IBEZxWYSCZBY/N6wgxEREckXJT1ERCR/WluqcFNWLsFNYakLNyARycGzDCdA/hF2MCIiIuOhpIeIiIxPa4sBXgBcCVwMTAs3IBHJo03A94BvEos/E3IsIiIiWVPSQ0REctPaMh+4ApfsWB5uMCJSYBb4M/AN4BfE4r0hxyMiIpIRJT1ERCRzrS1luGkrrbglZqPhBiQiIdgLfB/4BrH4Q2EHIyIiMholPUREZGytLYcBbwReD8wJORoRKR7340Z//IBYvD3sYERERPyU9BARkWCtLbXAq3DJjjNCjkZEittB4Oe40R+3hxyLiIjIIUp6iIjISK0tJ+Omr7waFSUVkeytB74JfJtYfHvYwYiIyNSmpIeIiEBrSw1u6spbgaNDjkZESsMg8Dvgi8Tifw47GBERmZqU9BARmcrcCixvB94MzAw5GhEpXQ8BX8DV/ugLOxgREZk6lPQQEZmKWltOAK6x1l5ijCkPOxwRmTJ2Av8LfJVYvC3sYEREpPQp6SEiMlW0tkSAlwLXAM8PORoRmdp6cMvefp5Y/LGwgxERkdKlpIeISKlrbakDrgTeASwPORoREb8/Ap8H4sTi6piKiEheKekhIlKqWluagX+31rYaY6aHHY5MbTc8tJEP3fc071y9mC887wg2dR5k6U/uCHzuT84+llctnRv4s19s2snX1m3m/t0d7Ont518Xn8qaxvoRz7n23nV8++mt1JWX8emTVvHq5fOGt71xBzev38Zvzj0+f3+c5MsTwBeB7xKLHww7GBERKQ1lYQcgIiJ51tpyKq5ex8uNMVFjTNgRyRT3z7Z2blq3hWNm1h16bFFtFdtfc9aI59305GY+/fAmzl84K+22DvQPcvqcBl61dC5X3ZU6K+I3z+3iBxu3c2vLiTzd0c0b7nyUcxY00lhVwf7efv7f/U9z2/kn5u1vk7w6ArgR+AStLV8DvkIsvi3kmEREZJJT0kNEpFS0tpwD/AdwBoCSHVIMuvoHeO3tD/P1M1bz8Qc3HHo8GjHMrakc8dz/27SLf1s2l7ry9N2T162cD8CmzuCBAE/sP8BZc2dy4uzpnDh7Ou+6dx0bOw/SWFXB+/75FG89YhGL66rz8JdJATUCHwLeQ2vLt4FPEIs/F25IIiIyWUXCDkBERMapteVc+8bz/gbcipfwECkWb7v7CS5cNJsXL2gc9Xn3727nwb2dvHHVgnG93rEzp3Hf7nb29fZz/+52Dg4OsqK+hrt27OOBPR2848jmcW1fJlQF8CZgPa0tN3lT9kRERLKikR4iIpNVa8t51tqPGGNO1agOKUY/2rCd+3d3cN9Lnzfmc7/x5FaOaKjltDkzxvWa5y2cxWUr5nPSr+6huizKd848mtqyKFff/TjfPvMovrruOf7n8eeYVVnBTWesZvWMurE3KmErB64CrqC15TvA9cTiz4Qck4iITBJKeoiITDatLS1esuN5SnZIsdrcdZB33ruOW1tOoKosOupzDw4M8oON2/nwmvwsLvTR41fw0eNXDH//wHpePL+R8kiEjz+4kUdedjq/3dzG6//6CPdffGpeXlMmRDnQikt+fBf4uJIfIiIyFiU9REQmi9aW871kxylKdkixu393B7t6+jjhV/ceemzQWu7YsY8vP76Z3ivOIRpx+/HPntlJ98Agr18xP+9xrNvfxfc3bOdfF5/KN5/ayplzZzC7uoJLls7hyjsfpaNvgPoKdYcmmTLcMtyvp7XlZlzyY2PIMYmISJHSWV5EpNi1tlzgJTtOVrJDJosXzW/kkZedNuKxN9z5KIdPr+X9xyw9lPAA+MZTW1i7uInZ1RV5jcFay5vuepzPnnwYdeVlDFpL/5AFOPTvkLV5fU2ZUGXAG4DX0dryPVzB0/UhxyQiIkVGSQ8RkWLV2nKhl+w4SckOmWymVZRx1MxpIx6rLYvSWFU+4vH1HQe4Y8c+fn/e8YHbOfxnd3HDiSt52ZI5AOzt7eO5rh62dfcC8GT7AQDmVlemrAbz9Se30FRdwdrmJgBOn9PARx/YwL279vOHLbs5sqGWhsry/PzBEqYy4Apc8uP7wMeU/BARkQQlPUREio0rUPpxY8yJSnZIqfvmU1tZUFvFuQtmBf78yfYDtPcNHPr+18+28YY7Hz30/av/8jAAHzlu+Yg6HjsP9nL9Qxu5+6JTDj128uwG3n10Mxfe+gBNVRV85wVH5fvPkXBFgdcDr/WSHx/WUrciImKshnWKiBSH1pajrbWfMcacG3YoIiIloAf4AnADsXhH2MGIiEg4lPQQEQlba8u8IWs/buAKY0wk7HBEREpMG/CfwNeIxQfGerKIiJQWJT1ERMLS2lJjrX2vhfdHjKkOOxwRkRL3JPA+YvFfhx2IiIhMHCU9REQmWmtLBLh8cMjeEI2YOWGHIyIyxdwOvIdY/P6wAxERkcJT0kNEZCK1trx4YMh+vixiVEFRRCQ8Fvg+8CFi8c1hByMiIoWjpIeIyERobTlyYMh+rixizgs7FBEROUTFTkVESpySHiIihdTa0jRk7ccMvNEYEw07HBERCdQGfBS4ScVORURKi5IeIiKF0NpSaa19t4UPRYypDTscERHJyDrgGmLxeNiBiIhIfijpISKSb60tLxoYGvp6WSSyNOxQREQkJz8D3kksvi3sQEREZHyU9BARyZfWlqaewaEvV0Ujrwo7FBERGbdO4DrgK8Tig2EHIyIiuVHSQ0RkvFpbTO/g0FujxnyyLGLqwg5HRETy6n7gLcTi94UdiIiIZE9JDxGRcRi48rxj+oeGvlNdFl0TdiwiIlIwQ8BXcUvcapUXEZFJREkPEZFctLbUdg8MfrIqGrk6olVZRESmiu24Qqc/DjsQERHJjJIeIiJZ6r/y3Iut5caKaGRO2LGIiEgobgHeRiy+IexARERkdEp6iIhkqrVlUffAYKymLHpu2KGIiEjoeoDrgU8Ri/eFHYyIiART0kNEZCytLWUHBwbfUxGJ/Ec0YqrDDkdERIrKOuBqYvHbww5ERERSKekhIjKKwSvPO6HfDv2gKhpdFXYsIiJS1L6Fq/fRHnYgIiIyTEkPEZEgrS1lHX0Dn6grj75bhUpFRCRDm4E3EIvfFnYgIiLiKOkhIuKz73UvOro8Yn5aV152WNixiIjIpGOBrwDvJxbvDjsYEZGpTkkPEZGE1hazo7v3P2dXVXwwGjFlYYcjIiKT2tPA64nF7w07EBGRqUxJDxERYM9lZy+LRswvGirKjw07FhERKRmDwKeBj2qFFxGRcCjpISJT3rZLz7p2dlXF9eWRSGXYsYiISEl6GHgdsfjDYQciIjLVKOkhIlPWnsvOnmeM+dnMyvLTwo5FRERKXh/wUeDTxOKDIcciIjJlKOkhIlPS9kvPumJmZcX/VEYjdWHHIiIiU8o9wOXE4k+HHYiIyFSgpIeITCndV5zT0D0w+MNZVRUtYcciIiJTVjfwfuArxOLqjIuIFJCSHiIyZWy79KyXzawo/0ZVWXRG2LGIiIgAtwFXEItvCTsQEZFSpaSHiJS87Ze+sMLAN+bWVF4WdiwiIiI+u3FL2/4h7EBEREqRkh4iUtKeeOUZR86rqfx1Q0X58rBjERERScMCnwKuU5FTEZH8UtJDRErWIy8//R2HTa/9dEVUS9GKiMikcCfwamLxbWEHIiJSKpT0EJGS84fzTqg9oqHux0umVV8YdiwiIiJZagMuIxa/NexARERKgZIeIlJS7n7JKScd0VD3ixmV5QvDjkVERCRHFrge+Iimu4iIjI+SHiJSMh582WnvPrKh7vqKaKQi7FhERETy4HbgUmLx7WEHIiIyWSnpISKT3g9feGz1ybOn/3h5fc1Lwo5FREQkz3YBryUW/1PYgYiITEZKeojIpPb78044+qRZ0389u7piSdixiIiIFMgQ8HHgP4nFh8IORkRkMlHSQ0QmrbtecspVJzTWf7G6LFoddiwiIiIT4DbcqI+dYQciIjJZKOkhIpPONUctKWs9bOG3jmiofW3EGBN2PCIiIhNoB/AaYvHbww5ERGQyUNJDRCaVm886ZtHZ82b+fkFt1VFhxyIiIhKSAeBdxOJfCTsQEZFip6SHiEwaPz772LPPXTDrxzMqy2eFHYuIiEgR+CrwDmLxgbADEREpVkp6iEjRW9vcFLly1YJ3nLtg1g01ZdGqsOMREREpIn8BXkksvjfsQEREipGSHiJS1NY2N1W9a3XzV14wd+YV0YiJhB2PiIhIEdoAvIRY/ImwAxERKTZKeohI0Xrz4YtmXX3Eop+vaaw/M+xYREREilwH8Gpi8T+EHYiISDFR0kNEitInTlx59GUr5v9fc1318rBjERERmSSGgPcRi3827EBERIqFkh4iUnRuOmP1S1+xZM43G6sqZoYdi0ipGBwaYmDAMjg4xID35f5vh/8/MPL7IWvB6yaM2Vvw+hMmYiiLRiiLRohGDdGk/5dFI0Qj7vuyMuP+XxahvCyCVp8WyatvAW8hFu8LOxARkbAp6SEiRWNtc1Pk8hXz33PBotn/VV0WrQw7HpFiNzRk6e0fpLdvgN5e929Pn/d93yA93r+9fQMMDhb3+b68PEJleZSK8jIqK6JUlEeprIhSWVFGVWWUqooyqirdz5QgEcnI34CXE4vvCjsQEZEwKekhIkXBK1j6vy+YO/NyFSwVcay1HOwd4EB3PwcO9tN9sM/929NPT+8gff2DYYcYisqKKDVV5dRWu6+a6nJqqyuorSmnojwadngixeRZYC2x+MNhByIiEhYlPUQkdG86fOHstx2x+GfHqmCpTEHWWrp7+g8lNlxyo58DB/vo7hlgaEjn6WyUl0W8JEj5oX9rqyuorS6nqrIs7PBEwnAAuIxY/JdhByIiEgYlPUQkVCpYKlPJwOAQHV29tHf2un+7euk80KfExgSpKI9SX1fB9LpK6usqmT6tkrqaCk2XkanAAh8iFv9k2IGIiEw0JT1EJDSfPeWwlstXLvjerKqKxrBjEcm3nt4B2rt66eh0yY2Orl4OHOwPOyzxiUQM02qHEyH1dZVMr6ukrEyz7KQkfQl4F7G4LgBEZMpQ0kNEJtza5qbI2fNmvvENqxZ8fnpFeW3Y8YiM18DgEPvae9jbfpB9HT10dPXS2zc1622UiprqchqmVTJzejUzp1dTX6cRIVIyfghcTiyuLKyITAlKeojIhFrb3FR17oLG979h5cIP1pZrhRaZnHr7Btjb3sPe/QfZ236Q9q5edDotbWXRCDOmV3lJkCpm1FcRjWo0iExatwKvIBbvCjsQEZFCU9JDRCbM2uam+pcubrrhshXz31QZjaiioEwaBw72sXe/G8mxp/0gB7p1g3SqixjD9MRIkAaXDNHKMTLJ/BO4gFh8d9iBiIgUkpIeIjIh1jY3NV66fN6XXrlk7qvLtCStFLnevgF27e2mbc8Bdu8/qKkqkpFptRXMmlFDU2MNjQ3VRCNq6qToPQWcSyz+bNiBiIgUipIeIlJwa5ub5r/psIVfv2DR7AsimhMvRchay76OHnbt6WbX3gO0d/aGHZJMctGIoXFGNU0za2lqrKW2ujzskETS2QacRyz+aNiBiIgUgpIeIlJQa5ubll171JLvnjVv5ulhxyKSLDGaY9eeA7Tt7aZ/YCjskKSE1VaX09RYS9NMbxSI6oFIcdkPvIRY/K6wAxERyTclPUSkYF6+ZM7qDx677PsnzZ5+bNixiFhr2d/Rw06N5pCQRSKGWQ3VNDXWMmdWLTVVGgUiReEg8G/E4r8JOxARkXxS0kNECuJ1K+c/7wPHLLt59Yy6FWHHIlNXYtrKtl1dbG/roqd3IOyQRFI0TKtkftM05jXVKQEiYRsE3kQs/s2wAxERyRclPUQkr9Y2N5kFNZXnvvfoQzPT4gAAIABJREFUpd9YVl+zIOx4ZGra197DtrZOtu/q4qASHTKJNNRXMX92HfOb6qhWAkTC80Fi8U+GHYSISD4o6SEiebO2ucmsqq+55JqjlnxlQW1VY9jxyNSyv6OHbbs62dbWxcEeJTpk8ptRX8X8pjrmNU2julKrfMuE+wJwLbG4LhZEZFJT0kNE8mJtc1N0dUPdldceveQzs6sq6sOOR6aG/Z09bNvZxfa2TrqV6JASNmN6YgTINKqUAJGJcyPwViU+RGQyU9JDRMZtbXNTxWHTa6/+wDFLP9ZYVTEt7HiktPX1D7JlRwfPbe+g80Bf2OGITChjoKmxlsXz6mmaWUskomXApeCU+BCRSU1JDxEZl7XNTTUr62v+/YPHLvt/s5TwkAKx1rJ7XzfPbe9gx+4DDA3p3CVSWRFl0dx6Fs2rp66mIuxwpLR9DbhaiQ8RmYyU9BCRnK1tbpq2dFr1tR9es/w9s6oq6sKOR0rPwZ5+ntveweYdHarTITKKmdOrWTy/nnmz6yiLRsIOR0qTEh8iMikp6SEiOVnb3FS3tK76Pdcdt/za2RrhIXk0NGTZsbuL57Z30La3O+xwRCaVsmiEBXPqWDxvOg31VWGHI6VHiQ8RmXSU9BCRrK1tbqpbUlf97g+vWf7u2dVKeEh+dB/s55mt+9myo5O+/sGwwxGZ9OprK2heMJ2Fc+s1+kPy6SbgLUp8iMhkoaSHiGTFS3hc8+E1y9+rhIfkw579B9m4ZR87dx9ApySR/Csvi9A8fzpLFjZo6VvJFyU+RGTSUNJDRDKWSHhct2bZe5uqK5XwkJwNDVm2tXXyzOb97O/sDTscyaOf7tvHzfv28ZL6eq6aNYud/f1ctXlz4HPf19TEGXXB5YDuPnCAWzo6WN/bS+fQEF9YsIBllZUjnvONPXu4rbOTKmO4orGRM5O2dVdXF3/p6uLDc+fm74+b5IyB+U3TWLawQVNfJB+U+BCRSUHpfhHJyNrmprrmuiolPGRc+voHeW5bO89sbaenV4VJS83TPT3c0tnJkorhlURmlZXxncWLRzzvls5OfrF/PyfU1KTdVu/QEEdUVXF6bS1f3r075ef/OHCAv3Z18Z/z5rGtv58vtbWxprqa+miUrsFBbt67l4/Pn5+/P64EWAtbd3aydWcnM6dXsWzRDObOqsUYLXsrOXkTYGhtebMSHyJSzJT0EJExrW1uqm2uq7rmw2uWK+EhOenq7uOZLfvZvKODwUH1jUvRwaEhPtvWxttnzeIn+/cfejxqDDPKRnY37jlwgDPq6qiOpK8z8cJprqnZ2d8f+PPN/f0cXVXFyspKVlZWEtuzh539/dRHo3x7714uqK9ndpm6Oensbe9hb/t2aqrKWLqwgcXzplNWprofkrWrAJT4EJFiprObiIzKS3hce92a5e9RwkOytWf/Qf7x8Db+8vdn2bS1XQmPEnbj7t2cWF3NmlFGbwCs7+3lmb4+zpk2vuZkaUUFT/f20jU4yPreXvqGhphXXs7jPT1s7O3lounTx7X9qaK7Z4DH1u/mj3c/w2NPt3FQI7Ake1cBX6O1RUOGRKQo6RaIiKS1trmpdnFt1buuW7P8PXOqK+vDjkcmj937unlq01727D8YdigyAe7o6mJDby+fW7BgzOf+sbOTReXlHFE1vpoSx9fUcFZdHddu3UqlMbyrqYnKSISvtrXxzqYm/tDRwe86OpgWifD22bNZnDTlRlINDA6xcct+Nm1rZ/G8elYsnkF1VXnYYcnkoREfIlK0lPQQkUBrm5tq51ZXvOO645a/TwkPyZSSHVNP28AAX9+zh/+aO5eKUaargKvTcUdXF5c0NOTltS+dOZNLZ8489P0P9u7l2OpqosBP9u/nfxYu5J/d3Xx+1y4+v3BhXl6z1A0NWTZtbee57R0smlvPymYlPyRjVwGdwLvDDkREJJmSHiKSYm1zU+208ujVHzp2+bvnKuEhGdi9r5snn9nL3nYlO6aaDb29tA8Ocs3WrYceGwIe6+nhdx0d/HzpUqJeocy7Dxygd2iIs8c5tSXIlr4+/trVxRcWLuRPnZ2srqpiejTKGbW1fKmtje6hIWrGSMrIsKEhy7Pb2tm8vYNF8+pZ0TyDGiU/ZGzX0tqyh1j8+rADERFJUNJDREZY29xUU2bMVdetWX7tkmnVjWHHI8WtbW83T23aw972nrBDkZAcU13N//hGUXyxrY2F5eW8oqHhUMID3NSWk2trmR6N5jUGay1f3r2bKxsbqY5EGLKWQetG2A94/w5ZjbjPxZAdTn4snDeNlc0zlfyQsXyC1pa9xOI3hh2IiAiokKmIJFnb3FQFXPmBY5e+64iGunlhxyPFq21vN397YDP3PrRVCY8priYSobmiYsRXlTFM8x5P2Nbfz2M9PWkLmF69eTP3HDhw6PvOwUE29vay2Vu9ZWt/Pxt7e9k3kFpo85bOThqiUU6prQXgiKoqHj54kHU9Pfy6vZ1F5eXU5TnRMtUMWctz2zr4872beGjdTroPBq+qI+L5Cq0trw47CBER0EgPEfGsbW4qA177jiMXv/3k2Q3NYccjxWlv+0Ge2LBbiQ7J2p86O2mMRjmuujrw51v7++keGjr0/T+6u/liW9uh7/971y4AXt3QMKKOx76BAX62fz+fmj//0GOrqqq4uKGBj+3YwfRolHfNnp3vP2fKshae297B5h0dLJ43ncOWzqSyQt1JSREBvktry35i8XjYwYjI1GashnuKTHlrm5siwKsuXzH/A69YOndN2PFI8TlwsI8nNuxhe1tX2KGISBEpi0ZYvngGyxc1EI1qALGk6AbOIRa/O+xARGTqUtJDZIpb29xkgAtfurjpQ1euWnCqSZp/L9LXP8jTm/ayaWu7aiKISFpVlWUcvqyRhXOmofOI+OwDziAWfzzsQERkalLSQ2SKW9vcdNYL58287h2rm18YNUa36QRwKzc8s3U/T2/aS//A0Ni/ICIC1NdVsnrFLGbNqAk7FCkum4FTicW3jvlMEZE8U9JDZApb29x04omz6v/jA8csO78iGtGkbAFg265Onti4R4UKRSRncxprOWL5LKbVVoz9ZJkqHgWeTyy+P+xARGRqUdJDZIpa29x05OHTa6/7yPErXl5bFq0MOx4J3772gzy2fjf7OlSkVETGzxhU7FT87gDOIxbXiUZEJoySHiJT0NrmpqULa6s+eP0JKy9tqCyvDTseCdfBnn4e37CbbbtUpFRE8q8sGmFl8wyWLZpBJKJ6H8IvgFcRi2vupIhMCCU9RKaYtc1N82ZWlr/vUyetesOc6srpYccj4RkasjyzZT9PbtrD4KDOBSJSWNNqKzh6VRONDcHLFsuU8lVi8beGHYSITA1KeohMIWubm2ZWRyPv+uRJq65eOq1mVtjxSHj2tffw8FM76ejqCzsUEZliFs2t58gVs6goj4YdioTr/cTinw47CBEpfUp6iEwRa5ub6oC3fuS45W87Ydb0xWHHI+Ho7x/kiY17eHZbe9ihiMgUVl4e4cjls1g0t15L3E5dQ8DFxOK/CTsQESltSnqITAFrm5sqgaveuGrBm1/aPOeosOORcGzZ0cHjG3bT2zf4/9m77/Aq6/v/46+zZ+ZJzskiJyEJIQmBsAKEDQIB4SBTFBHEOFq11ipVaRFBFIvVoraOfoOjFqi4qq2S/lqrba0TVJAhiIwEsndO9hm/PwIRyoac87nPuV+P6+Lq1RDCM4rJ4X1/hugUIiIAQGSYAf3ToxFi4nnaMuUEkIfCom9EhxBR8OLQgyjIOexWFYDFV8RZbrw9M3GEko/UZMfZ0oFv9leiuq5VdAoR0WkUCiClVwT6JEVCpVKKziH/OwwgF4VFVaJDiCg4cehBFMQcdqsCwPSMcNNtDw1KG69VKbWim8h/3B4PDhypw4HiOng8/FpPRNJm1KvRr48VNgsvFZOh/wC4AoVFPGiKiHocx+lEwS03Wq9ZuHxA7zwOPOSltqEV//qiGPsP13LgQUQBoaXNhc93lmL77jJ0dHIbnsyMBvCs6AgiCk5c6UEUpBx2a4pGqbjn8dy+s5JCDDbRPeQfHo8X+w7V4EBxnegUIqJLptOqMCDdBlsUV33IzN0oLHpCdAQRBRcOPYiCkMNujQLws+UDel893BreW3QP+UeDsx1f7SlHUzNXBxNRcEiMDUVWajTUai5Olgk3gBkoLNoqOoSIggeHHkRBxmG3GgDcfl1q3ML5yTEDRPeQ73m9Xhw4Ute1lYVf04koyBj0auT0tSEqwig6hfyjEcBwFBbtFR1CRMGBQw+iIOKwW5UArh8TE3Hjz/oljeRNLcGvuaUDX+2tQF1jm+gUIiKfSk4IR0ZvC294kYfvAQxDYVGN6BAiCnz8rkEUXCanhRrn3ZFpH8qBR3Dzer04dLQe//qimAMPIpKFQ0fr8e9txajn1zw5SAHwOgryNaJDiCjwcehBFCQcduvgCK160S9yeo/UqZQ60T3kO63tLny2oxS7vquCmzezEJGMOFs68dGXJfj2YA1vpgp+4wA8LTqCiAIft7cQBQGH3ZqkUijufiw3fU5qqDFWdA/5ztGKRuzaX4VOl0d0ChGRUKFmHQZnxcBs5I3sQe4nKCzi8IOILhmHHkQBzmG3RgC46+5+SQvGxkamie4h33C5Pdi1vxIl5U2iU4iIJEOlUmBAug3xthDRKeQ7bgATUVj0L9EhRBSYOPQgCmAOu1UH4MdTE6Ku/lFG4jDRPeQbTc3t2LarHM4WXkVLRHQm9rhQZKVFQ6Xkzu0gVQYgB4VFlaJDiCjw8DsDUYA6flPLnCSzYcrSPgk5onvIN4pLG/DvbSUceBARncOR0kZ8tP0omvm1MljFAtiIgnz+3YWILhq/cBAFrvE6pXLmL3J6D+LBpcHH5fbgyz3l2LGvkof1ERFdgEZnO/69rQSlldwGGKSuALBCdAQRBR5ubyEKQA67NQ3AsuUDeo8abg3PEN1DPaupuQPbdpVxdQcR0SVKig9DZmoUt7sEHw+AySgsel90CBEFDn4nIAowDrs1DMDi6b2i+3HgEXyOVTThP9uLOfAgIroMh4814L9fHkVza6foFOpZSnRtc4kRHUJEgYNDD6IA4rBbVQAW9A4xDF2SFj9IdA/1HI/Hi2/2V+LLPeVwu7kCj4jocjU0tePf24pRVuUUnUI9ywZgMwryVaJDiCgwqEUHENFFmaBTKq9YPiAlR8tzPIJGW7sL23aVoa6xTXQKEVQmE9RGI9QmE9RmM1QGAxRqNRQKBRRKJaBUQqFQAAC8Hg+8Hg/g9cLr8cDT2Ql3czNcJ/3wtLcL/oxIzlwuD7btKkNKYgQyelu6/+xSwBsH4EHwjA8iugA804MoQDjs1j4Alq3ISRk5NDqM21qCRH1jG774phRtHW7RKRRslEroLBborVbooqOht9m6/tdqhd5qhSY0FGqTqWvIcXzQoTIauwYbPcjT2QlXSwvcLS1wOZ3dw5COujq0V1airaoKbRUVaK+qQltlJdorK9HZ2NijDUQAYLOYMCgzBmo1FzoHCS+AqSgs+pvoECKSNg49iAKAw24NB3CPI9E6sSA9YbjoHuoZxyqa8PW3FbydhS6NQgFDXBzMyckwHf9hTEiA3maDPjoaWosFSnVgLuh0t7V1DUCqqtBWXo7mI0fgPHwYzYcOwXnwIDrr60UnUoAKMWmRmx0Ho0EjOoV6RjWAHBQWHRMdQkTSxaEHkcQdP8fjptRQ4+xHh/YZq1UqtaKb6PJ4vV7sP1yL/YdrRadQANCEhSEkNbV7sNE95EhMhEqvF50nREddHZyHDqH5xCDk0KHugYing4cA07lpNSoMzopBVIRRdAr1jI8AjEdhkUt0CBFJE4ceRBLnsFun6FXKgt/lZY6N1mujRffQ5XG5Pfh6bwUP1qMz0kZGIqxfP4T364ewfv0QlpUFY0KC6KyA4ensRNN336Fh1y7U79qFhl270Lh3LwchdBqFAsjuY4U9Lkx0CvWMX6Gw6D7REUQkTRx6EEmYw27tC+DuBwamjB4SFZYuuocuT2u7C198U4qGJh7sSIDWYvlhuHF80GGIixOdFXQ8nZ1oOnAADbt2oWH37q7/3bOHB6wSACA5IRxZqVE84DTweQHMQGHRu6JDiEh6OPQgkiiH3RoBYNlVduuEpX0ShonuoctT39iGz78pRTsPLJUtndWKqOHDYRk+HJZhw2BOShKdJFuejg7U79qFmk8/Rc1nn6F22za423h7klxFRxgxOCsGGg1vQA1wtQAGoLDoqOgQIpIWDj2IJOj4OR439zLpZ/5mWN9xvJ42sPHAUnnSWa2IGjbshyFHcrLoJDoLT0cH6r/5BjWffYbqTz9F3fbtHILIjMmoQW52HMxGHpsV4P4BYDIKi/gNl4i6cehBJEEOuzVfASz97YiM4b3Mhl6ie+jS7TtUwwNLZUJlMsE6ejSiR4/mkCPAnRiCVH/6KSr/9S/UffklwNdLQU+jVmJIv1gecBr4bkdh0e9ERxCRdHDoQSQxDrs1A8DdS/vEZ15lt40Q3UOXxuv1Yse3FSgpbxKdQj5kiI2F7YorYJswAZZhw6DScVFWMGqvqUHlhx+i/B//QNVHH8Hd0iI6iXxEqVRgUGYMYqPNolPo0rWg6xrb70SHEJE0cOhBJCEOuzUEwL1pocaBvxqaPlmtVKhFN9HFc7s92L67HBU1zaJTyAfC+/eHbeJE2CZORFhGhugc8jN3eztqPv0U5e+/j4r330dbebnoJOphvNklKHwCYDQKi3iQFhFx6EEkFQ67VQFgoUqBWc+NzBpuM+h4jUMA6nS58fnOUtQ28DyAYKFQqRA9ahRiJk+Gbfx46G020UkkIQ27d6P8/fdRtnUrmvbvF51DPSg92YI+SZGiM+jS3Y/CokdFRxCReBx6EEmEw24dBOCnd2Qmpk6Kj+K2lgDU1u7CZzuOobG5Q3QK9YDwnBwkzJyJuCuvhM5iEZ1DAaBh714ce+cdHHvnHa4ACRJJ8WHolxbNK20DUweAoSgs2ik6hIjE4tCDSAIcdms4gPuzI8zZqwenTVYpFLw3L8A0t3Tg0x3H0NLmEp1Cl8GUlIT4mTMR73DwSlm6ZF63GzWff46jb7+Nsq1b4XI6RSfRZYizmjEwIwZKJQcfAWgHgFwUFvFpBJGMcehBJNjxbS1LtUrF9N+PysqL1Gmtopvo4jQ0teGznaVo7+DW4UCktVgQP3064mfORMSAAaJzKMi429pQ8cEHOPb226j48EN4OztFJ9EliIowYGi/OKjVStEpdPHWorBouegIIhKHQw8iwRx263AAP/l5dnLaqJiIIaJ76OJU17Xgi2/K4HJ7RKfQxVAqYZswAfYFCxA9ahSUGo3oIpKBjvp6HHvnHRzZvJnnfwSgsBAdhvWPg07LM8YDjBtdh5p+IjqEiMTg0INIIIfdGgVgeW50WObyAb0nK7lpOKCUVTnx5Z5yeDz8Ohoo9DYbEq++Gonz58MQGys6h2Ssdvt2HNm0CaXvvQdPB1feBwqTQYPhA+JhNHBQGmC+Q9c1trxvmkiGOPQgEsRhtyoB3GJUKfOfH5U1Kkyr4RHxAaS4rAE791WCX0IDQ1ReHpIWLYJtwgQo1XxKS9LRUVeHkjfewKFXXkHr0aOic+gC6HVq5OXEw2TUik6hi/NbFBbdITqCiPyPQw8iQRx26xgAP34gJyV9SHRYjugeunDFZQ3Y8W2l6Aw6D5XRiIRZs5C8aBFC0tJE5xCdk9ftRsWHH+LwH/6Aqo8+Ep1D58HBR0DyApiEwqL3RYcQkX9x6EEkgMNujQVw/7iYyPS7+tknc1dL4ODAQ/r0Nht6L12KxPnzoQkNFZ1DdNGc33+Pgy++iJI33uDWFwnj4CMglQDIRmFRg+gQIvIfDj2I/Mxht6oB3B6iUU14fmTWWLNGzb+VBYiSskZ8/W2F6Aw6C1NSElJuvhkJV10FlU4nOofosrVVVOD7F17AkU2b4G7hUQRSxMFHQHoRhUVLRUcQkf9w6EHkZw679QoANz+Qk5IyJDpskOgeujAceEhXaGYm0m69FbH5+VCoVKJziHpcR309Dr/yCg6+9BI66+tF59D/0OvUGJETDzMHH4FkHAqL/iU6goj8g0MPIj9y2K29ACwfbAmNWzEwZQZvawkMHHhIkyU3F6k/+hGsY8aITiHyC1dzM4pffRXfb9iAtvJy0Tl0Eg4+As5edN3mwv1jRDLAoQeRnzjsVg2Au5RA7v+N6jci2qCNE91E51dS3oiv93LgISXW8eOR9qMfIXLwYNEpREK429tx7O23ceD559F8+LDoHDpOr1VhxMAEDj4Cxy9RWPSw6Agi8j0OPYj8xGG3TgRwy83pCRHTE61XiO6h8+PAQ1osw4cjY9kyROTwsiMiAPC4XDj65pvY9+STXPkhERx8BJRWAP1QWHRQdAgR+ZZSdACRHDjsViuAq+KMOs/k+KjRonvo/DjwkI7QzEwMe/FF5G3cyIEH0UmUajUS58/HhPffR+b990MTFiY6SfbaOtz45KujcLZw10QAMAD4negIIvI9rvQg8jGH3aoAUABg6uO56elpYaZM0U10bkcrGvHVHg48RDMmJqLvz36GuCuvhELJGT3R+XQ2NuLA73+PQy++CHdbm+gcWdPr1Bg5MAFGg0Z0Cp3f1Sgs2iI6goh8h0MPIh9z2K05AO7Jj48y/Tgz8SrRPXRuFTXN+OKbUvBLozhaiwV97rgD9quvhlLLJeJEF6utogL7n34axVu2wOt2i86RLZNBg5GDEqDTqkWn0LmVAshAYVGj6BAi8g0+OiPyIYfdagQwR69Saq5LjRsruofOra6hFdt3lXHgIYjabEb6XXdh4gcfIHnRIg48iC6R3mZD/zVrMO5vf0PstGmic2SrubUTn+4oRaeLgyeJiwOwRnQEEfkOV3oQ+ZDDbp0J4Pqf90+2jbJFjBTdQ2fX1NyB/35Zgk6XR3SKLCXMno2Mn/8c+uho0SlEQad2+3Z8s3IlGvfuFZ0iS5FhegwfEA+Vis8aJcwDIBeFRdtFhxBRz+PQg8hHHHarHcAvMsJNYY8M6TNHpVCoRDfRmbW2deKjL4+ird0lOkV2Qvv2RfaqVYgcMkR0ClFQ87hcOLJpE7594gm4mppE58iONdKIodlxUCoVolPo7Laja/DBpx9EQYYjZyIfcNitKgCzAVjuzLTncuAhXR2dbny6o5QDDz9Tm83ot3IlRr/9NgceRH6gVKuRfP31mPCPfyBhzhzRObJTWduCHft4QLbEDQZwm+gIIup5HHoQ+cYIAMMWpsQa4kz6JNExdGZutwef7yzl1YJ+ljBnDia8/z6Sr78eSjUP+CPyJ11UFAauW4eRW7YgNCNDdI6sHC1vwt7vq0Vn0LmtQUF+nOgIIupZHHoQ9TCH3RoOYFaEVqOYmWjl4aUS5fF4sX13Oeoaea2jv4RmZGDkli0YuG4ddFFRonOIZC1y8GCM/vOf0W/lSqhDQkTnyMaB4jocPFovOoPOLhTAetERRNSzeKYHUQ9y2K0KAAsBzFkzOC2xf2TIINFNdGZf7y1HSTn3tfuDymBA37vvRtKiRVzZQSRB7dXV2P3wwzj2zjuiU2RjcFYM4qwcNklYPgqL/iY6goh6Bld6EPWsvgCuGGQJbe8XYR4oOobObM/31Rx4+IklNxdj330XvW+4gQMPIonSRUVh0G9+g6HPPcdVWH7y1Z4KVNe1iM6gs3sCBfk8j40oSHDoQdRDHHarDsAcAIaC9IRcpULBI9ol6PCxenxfXCc6I+ip9HpkPfAARmzcCJPdLjqHiC5AzKRJGFdUhPgZM0SnBD2P14ttu8rQzDOlpCoTwE2iI4ioZ3DoQdRzxgEYMCMxWplg0ieLjqHTVde1YNd3VaIzgl7k0KEY+9576L14MRRKfpshCiTaiAgMWr8eQ559FlqLRXROUOt0efD5N6XodLlFp9CZPYiCfO5BIgoCfDVK1AMcdmsUgOkqBZxzk2J4eKkENbd2YNuuMvAYI99R6fXIWrECeZs2cXUHUYCLnTwZ44uKEMdVHz7lbOnE9t3l4Bl7kmQDcK/oCCK6fBx6EPWMSQDil/ZJiI7QaaJFx9CpOl1ufL6zDJ0uj+iUoBU5ZEjX6o4lS7i6gyhIaCMjMXj9egx55hmu+vChqtoW7D7Aq2wl6mcoyE8QHUFEl4evTIkuk8NuTQJwRahGXXNFnGWc4Bz6H16vF1/uLoeT+6Z9QqFWI/P++5G3eTNXdxAFqdgpUzC+qAgxkyaJTglah47W40hpg+gMOp0BwMOiI4jo8nDoQXQZjl9ReyWA8NsyEtMNapVJdBOdas/31ais5Qn5vmBISMDILVuQUlDA1R1EQU4bGYmhzz2HrAcegEKjEZ0TlL7ZX8kbXaRpEQryeSMfUQDjq1Siy5MNYITdrK8ZGh02QnQMnaqkrBEHS+pFZwSl2KlTMfYvf0HEgAGiU4jIj3ovXoxRr70GI1d29TivF9i2uwwtrZ2iU+hUCgCPi44gokvHoQfRJXLYrRoAMwBofpSRmKtWKtSim+gHtQ2t2LmvUnRG0FFqtchevRpDfvtbaEJDRecQkQDh2dkY8/bbiJs+XXRK0Ons7LrRxcUzqKRmPAryeaovUYDi0IPo0g0D0D83Oqylb5ipv+gY+kFLWye++KYMHp6G36NMyckY9cYbSFq4UHQKEQmmCQnB4CefRP9HHoFSpxOdE1SamjuwfU8Zb3SRnnUoyOcDLqIAxKEH0SVw2K0mANMBdN6QFj9WqVAoRDdRF5fbgy++KUNHp1t0SlCJnzkTY/78Z4RlZopOISIJsV99NUa/9RbMKSmiU4JKZU0L9n5fIzqDTtUXwE2iI4jo4nHoQXRpxgJIcyRaNfEmfbLoGPrBzn2VaHS2i84IGkqdDgMefRSDnngCarNZdA4RSVBoejpG//nPSJg9W3RKUPm+pA7nq5fuAAAgAElEQVRlVU7RGXSqVSjI595OogDDoQfRRXLYrVEApqkUaJiTZBsvuod+cKS0AccqmkRnBA19TAxGvvoqEufNE51CRBKnNhox8LHHkLViBcDbnHrMjm8reLCptEQDuE90BBFdHH5XIrp4kwHE3dgnwRah00SLjqEuDc527PquSnRG0IgYOBCj33oL4dnZolOIKID0XrIEw194gQcd95BOlwfbdpfB4+H5HhJyFwrye4mOIKILx6EH0UVw2K1JACaa1KrqiXGWsaJ7qIvL5cH2XXxR2FMS5szBiI0bobdaRacQUQCKHj0ao3jOR49paGrH7gMc6kuIHsBq0RFEdOE49CC6QA67VYGuw0vDb+wTbzeoVSbRTdRlx74KNHP57+VTKpG5fDkGrlsHFW9jIKLLYE5Kwqg33oB13DjRKUHh8LEGlFZy+6aELEJBPqd6RAGCQw+iC5cNYLhZrSodaYsYKTqGuhw+Vo/SSh70drnUISEYtmEDUm68UXQKEQUJTUgIcn//e6TcfLPolKCw49tKNLd0iM6gLioAvxAdQUQXhkMPogvgsFvVAGYA0NzQJ74PV3lIQ0NTG3YfqBadEfBMyckY/eabsI4ZIzqFiIKMQqVC5r33YuDjj0Op1YrOCWgutwfbdpfD7faITqEui1CQ31t0BBGdH4ceRBdmIIB+JrXq2Ciu8pCETpcb23aX8xyPyxSVl4fRb74Jc2++biMi30m46irk/elP0FosolMCWqOT53tIiBpc7UEUEDj0IDqP46s8JgNQLO0Tn8lVHtKw49tKXuN3meJmzMCwDRt4ywIR+UXEgAEY9dprMCYmik4JaEdKG3k9u3Rcj4L8ZNERRHRuHHoQnV8OulZ58CwPiTh0tB5lVTzH43IkL1mCQU88weXmRORXJrsdI7dsQWhmpuiUgLZjXwWcPN9DCrjagygAcOhBdA4Ou1UFYAoAxZK0+AyjWmUW3SR3jc527Pme53hcjr7LlqHfihVQKPktgIj8Tx8djbxNm2AZMUJ0SsByu734kls8peJ6FOQniY4gorPjK16ic8sBkGVUKY+NjokYJTpG7jweL77ayxd5l0ypxIBHH0XarbeKLiEimdMcvzEqdupU0SkBq8HZju+O1IrOIEADrvYgkjQOPYjO4vgqj8kAVEv6JGRylYd4+w/XoNHJ5byXQqnTYeizzyJx3jzRKUREAACVTofBTz6JpOuuE50SsL47Uov6xjbRGQQsRkG+XXQEEZ0Zhx5EZzcAQLZepTw2JoZneYhW19CGA8V1ojMCkiY0FCNeeQUxV1whOoWI6BQKlQrZq1Yh/a67RKcEJK8X+GpvBa+xFY+rPYgkjEMPojM46SwP1Q1p8X2NalWI6CY5c7s9+Orbcni5q+Wi6axWjHz1VUQOHiw6hYjorPrcfjv6P/wwoFCITgk4zpYO7D1YIzqDgCVc7UEkTRx6EJ3ZAAD99SrlsTGxkTzLQ7C9B2vQ3MLraS+WPjYWI//0J4T06SM6hYjovOwLFiDnscc4+LgEh47Wo7quRXSG3GkA3C86gohOx6EH0f846SwP5ZK0+HQTV3kIVV3XgkNH60VnBBxDXBzyNm2Cyc6HTkQUOHrNmoWBjz8O8Hapi/b1txVwubjNRbAbUJCfKDqCiE7F7yhEp+sPoL9OqTw6lje2CNXpcuPrbytEZwQcQ0IC8jZvhimRr7uIKPAkzJyJQevXQ6FSiU4JKK1tLuw+UCU6Q+604GoPIsnh0IPoJCef5XF9Wlwfk0YdKrpJznYfqEZrm0t0RkAxJCQgb9MmGBMSRKcQEV2y+Cuv5ODjEhSXNaKi2ik6Q+6WoiA/VnQEEf2AQw+iU2UD6K8ASkbbIoaLjpGzimonSsoaRWcEFENcHPI2boQxPl50ChHRZYubNg0Dn3iCW10u0o59lejodIvOkDMtgB+LjiCiH/C7CNFxDrtVia6zPFQzEq0x4TpNlOgmuerodGPHvkrRGQFFHxuLERs3coUHEQWV+OnTMfDXv+bhphehvcONb/bze6hgt6IgXy86goi6cOhB9IN+6Lq1pWRKQtQI0TFytuf7arR38CnVhdLbbMjbuJFneBBRUEqYORM569Zx8HERSiudqKhpFp0hZ1EAFomOIKIuHHoQAXDYrQoAYwBoB1tCDb1M+t6im+Sqpr6V21ougjYiAiNeeYW3tBBRUOs1ezb6P/SQ6IyAsmt/Jdxu3uYi0E9FBxBRFw49iLrYAQwGUDon2cazPATxeLxcknsRVAYDcjdsgDklRXQKEZHP2a+5Buk/5d8jL1RLmwv7D9eKzpCzTBTkTxEdQUQcehCdMAJAaJxR1943zNxfdIxcfV9Sh6bmDtEZAUGhVmPIM88gYsAA0SlERH7T5447YF+4UHRGwOj6vtouOkPO7hIdQEQcehDBYbdGAhgNoPralNghaqVCLbpJjlpaO/Edn0hdsJxf/QrWMWNEZxAR+V32ypWIzc8XnREQvF5g575KeL1e0SlyNQUF+ZmiI4jkjkMPImAYAJtepawaEhU2VHSMXH3zXSXcHr4ouxCZy5cj4aqrRGcQEQmhUKkw8IknYBnO3agXorahDSXlPCtLIO7JIhKMQw+SNYfdqgcwHoBzQe/YLKNaZRbdJEdlVU5U1rSIzggIKTffjJQbbxSdQUQklEqnw9DnnkNoRobolICw9/sadHTyVjRBFqEgP0p0BJGccehBcjcIQBKAY2NjInhNrQAulwe7vqsSnREQEmbPRsayZaIziIgkQRMSgmEvvABjr16iUySvo9ONPd9Xi86QKz2AW0RHEMkZhx4kWw67VYmuVR7u/PioOIteaxPdJEffHqpBW7tLdIbkWceNw4BHHoFCyS/bREQn6K1WDHvpJWgtFtEpkldS1oia+lbRGXJ1GwrytaIjiOSKr55JzjKO/zg2rVc0V3kI0NDUjsPH6kVnSF5oRgYGP/UUlBqN6BQiIskxJyUh9/e/h1LLv1Oezzf7K+Hh+VkixAK4WnQEkVxx6EFyNgqAvl+EWWs36/uIjpEbr9eLnfsrwQPlz01rsWDo889DbTKJTiEikqyInBwMeOQR0RmS19TcgYMldaIz5IrX1xIJwqEHyZLDbk0AkAugbH5yzHCFQiE6SXaOVTShvrFNdIakKTQaDH3mGRjj40WnEBFJXsKsWUi5+WbRGZL33ZE6tHdwW6kAA1GQP1Z0BJEccehBcjUCQIRFp3FmRZhzRMfIjdvtwbcHa0RnSF72qlWIHDJEdAYRUcDIuOceWMeNE50haS63B/sP14rOkKs7RQcQyRGHHiQ7Drs1DMAYADVzk2OyNUolD0rws4NH69HKw0vPKXnxYtiv5vZfIqKLoVCpMGj9eph79xadImlHShvQ1NwhOkOOZqAgP0Z0BJHccOhBcpQLIA5AeW502CDRMXLT3uHGgSPcT3wuUXl5yFy+XHQGEVFA0oSEYOjvfw9NaKjoFMnyeoG9vMJWBDWA60VHEMkNhx4kKw67VYuua2pbhkWHRUXrtbGim+Rm/+EauNwe0RmSZbTbMfjpp6FUq0WnEBEFLHNyMgY/9RTAa77PqqKmGdV1LaIz5Gip6AAiueF3ApKbTADJ6Lqmlqs8/MzZ0oEjpQ2iMyRLbTYj9/nnoQ0PF51CRBTwokePRhZXzZ3Tnu+r4eU1av6WjoL8UaIjiOSEQw+Sm1wAaoNK2ZkZbs4WHSM3XS+uRFdI18Bf/xohaWmiM4iIgkbvG25AwqxZojMkq6GpHUcrmkRnyFGB6AAiOeHQg2TDYbdGARgCoGp2ki1Dp1IaRDfJSXVdCyqqm0VnSFbvpUsRM2mS6AwioqCTvWoVDzY9h28P1sDNbaf+Ng8F+Tx0hshPOPQgORkIwAKgeqQtYqDoGDnxer3YwwPTziosOxsZy5aJziAiCkpqk6nrrCStVnSKJLW1u3DwaL3oDLkxAlggOoJILjj0IFlw2K0qAKMAtKaHmULjjTo+8vGjYxVNaGhqF50hSWqzGYOfeoovxomIfCi0b1/0e+AB0RmSdeBIHdo7eJW8n90oOoBILjj0ILlIA5ACoOwquzVHoVCI7pENt9uDbw/WiM6QrAFr18KUmCg6g4go6NmvuQZxV14pOkOSXG4P9h+uFZ0hN7koyOf5ckR+wKEHycVgAHqlAi0DIkO4tcWPissa0drOp0dnYr/2WsRNmyY6g4hINvo//DCMHDSf0ZHSBrS0dYrOkBuu9iDyAw49KOg57NYQACMA1E7vFZ1i1qh5cJSfuD0eHCiuE50hSaF9+yLrF78QnUFEJCuakBAMfuopKDQa0SmS4/UCB45wtYefXYeCfO5vJfIxDj1IDnIA2ABUjou1cJWHHxWXNqKNqzxOozIaMfipp6DS60WnEBHJTnh2NjLvu090hiSVlDWhlas9/MkC4CrREUTBjkMPCmoOu1WBrlUerlijTpscYkgX3SQXXOVxdtmrV8OckiI6g4hItnovWQLbFVeIzpAcj9eL747we7efcYsLkY9x6EHBzg4gE0DF3CRbf5VCoRIdJBclZVzlcSax06ah16xZojOIiGRvwCOPQGuxiM6QnJKyRq728K8rUJBvFx1BFMw49KBgNwhACID6IVFhg0THyIXHwydFZ6K1WJD94IOiM4iICIDOYkH/1atFZ0iOx+vlSk3/UgK4QXQEUTDj0IOClsNu1QMYBaAhzxoeG6HTRItukovisgau8jiD7FWroONTRSIiyYjNz0fc9OmiMySnmKs9/O060QFEwYxDDwpm2QDiAZRPiIvMEh0jF1zlcWZxV16JuKlTRWcQEdH/yF65kttc/ofHw9UefpaCgnyuSCbyEQ49KJgNQ9ef8Y6McDOHHn5SzLM8TqO1WNBv5UrRGUREdAbayEj0f+gh0RmSU1zWiFZ+P/en+aIDiIIVhx4UlBx2qxXAAAAVo2zhcSEadbjoJjnoejJUKzpDcvqvXs1tLUREEhY7ZQriZswQnSEpHo8XB47we7ofzRMdQBSsOPSgYJUFIAJAzbhYC1d5+ElJeSNa2/hU6GRx06cjNj9fdAYREZ1H9gMPcJvL/+DqTb/qjYL8IaIjiIIRhx4UdBx2qwLAYACdALwZ4aZMwUmy4PV6cYBneZxCa7Egm9taiIgCgjYyEv3XrBGdISkejxffl/B7ux9xiwuRD3DoQcHICqAvgKoxMRHx3NriH+XVzWjhSe+n6P/QQ9BGRorOICKiCxQ7eTLiuc3lFMVljXC5PKIz5IJbXIh8gEMPCkYntrbUjY2J5CoPPznIJ0GnsE2YgNgpU0RnEBHRRcr65S+hNptFZ0iGy+VBcXmj6Ay5SEJBfq7oCKJgw6EHBZWTtrZ0oGtrC8/z8IP6pjbUNrSJzpAMpVaLrBUrRGcQEdEl0EVFIf1nPxOdISmHSurh9XpFZ8gFt7gQ9TAOPSjY2ACk4/jWFrNGHSY6SA4OltSLTpCU1FtvhSkxUXQGERFdoqSFCxHat6/oDMloaetEeXWz6Ay54BYXoh7GoQcFm0wA4QDqxsVGcpWHH7S1u1Ba2SQ6QzKMvXoh9ZZbRGcQEdFlUKrVyF61SnSGpPABh98koiB/uOgIomDCoQcFjeNbW4YA6FQA3r5hvLXFHw4drQdXvP4ga8UKqPR60RlERHSZIocMQcLs2aIzJKO2oRX1TdzK6ifc4kLUgzj0oGBy8taWBG5t8T2X24MjpQ2iMyTDNmECYiZOFJ1BREQ9JPPee3mo6Um42sNv5qIgXyE6gihYcOhBwSQL3NriV0fLG9HJa+wA8PBSIqJgxENNT1Va2YS2dpfoDDnoBWCE6AiiYMGhBwWFk7a2dCgAbzq3tvic1+vFwaN84nNC6i238PBSIqIgxENNf+D1AoeO8Xu/n3CLC1EP4dCDgkUMgD4AqsbGRiaYNepQ0UHBrrK2Bc0tnaIzJMGQkIDUW28VnUFERD7AQ01PdaS0AW43V3n6Abe4EPUQDj0oWHTf2jLKFs7HMX7Afb0/yPj5z3l4KRFREIscMgSxU6eKzpCEzk4PSsp5a5sfxAMYKDqCKBhw6EEB7+StLQC8qaGmNMFJQc/Z0oHquhbRGZIQ1q8f4vhCmIgo6PW9+24oVCrRGZLAQ8z9hi8wiHoAhx4UDE5sbalMCTGERuo0VtFBwa6krFF0gmRkLFsGhZJfSomIgp05ORmJ83nMAgA0Ott5fa1/cOhB1AP4Sp2CQQa6trbUj4+1pIqOCXZerxcl5Rx6AEBUXh6iR40SnUFERH6SdvvtUOp0ojMkgQ9A/GI4CvIjREcQBToOPSgYZAHoBODNijBz6OFjFTXNaO9wi86QhIxly0QnEBGRHxliYtB7yRLRGZJwrKKJB5r6ngrAJNERRIGOQw8KaA671YyuQ0zrNEqFspdJ31t0U7Ar5pMdAEDs1KkI799fdAYREflZyi23QBPKS+I6XR6UVTlFZ8gBt7gQXSYOPSjQpQCIBFA7Liayl1al5JpTH2prd6Gypll0hnAKlQp9775bdAYREQmgDQtD6o9+JDpDEvggxC/yeXUt0eXh0IMCXRq6lv51Do0O49YWHzta3givV3SFeInz58OcnCw6g4iIBEletAh6m010hnA19a1obu0QnRHsYgDkiI4gCmQcelDActitSnTdX94MAGmhRg49fKyYB5hCpdejzx13iM4gIiKBVAYD+tx5p+gMSeBqD7/gFheiy8ChBwWy+OM/auxmvdmi18aIDgpmNfWtaG7pFJ0hXBKf7hEREYBec+bAlJQkOkO4o2WN8HIZqK9x6EF0GTj0oECWCsAMoGkCr6r1ueKyBtEJwim1WvS+8UbRGUREJAFKtRopN98sOkO4tg43KmtaRGcEuxEoyA8XHUEUqDj0oECWCcANwJsdaU4THRPMOl1ulFXyhPZec+dCHx0tOoOIiCQi4aqruPoPfDDiB7y6lugycOhBAclht5pw/KpatUKh6GUy8KpaHyqtdMLtkfnSVaUSKTfdJLqCiIgkRKXToffSpaIzhKuoaUZ7h0t0RrDjFheiS8ShBwWqFAAWALVjYiISdCqlXnRQMDta3iQ6Qbj46dNhSkwUnUFERBJjX7AAmrAw0RlCeb1dD0jIp3h1LdEl4tCDAlUqADWAjmHR4dza4kNt7S7UNrSKzhAu9dZbRScQEZEEqc1mJF9/vegM4Tj08LlYAANERxAFIg49KOA47FYFgEE4flVtahivqvWlsiq+iLFNmIDQ9HTRGUREJFHJixdDZTSKzhCqtqEVbe3c4uJj3OJCdAk49KBAFIeuq2prYwxaQ5ROEys6KJiVVnJrS+qPfiQ6gYiIJEwbEQH7ggWiM4TjgxKfGy86gCgQcehBgSgVQAiAxpG2iESFgtsbfaVra0ub6AyhLLm5iBw0SHQGERFJXO+lS6HQaERnCMUHJT43HAX5KtERRIGGQw8KRN1X1WaEm3mypA+V8okNV3kQEdEFMcTGotesWaIzhKptaOMWF98KAZAjOoIo0HDoQQHFYbcaAGQBqAcAu1nPoYcPlcn8iU1Inz6wjhkjOoOIiAJE7xtvFJ0gHB+Y+Nwo0QFEgYZDDwo0vQBEAKgzqlXqKL2W53n4CLe2AEmLFolOICKiABKSmoqovDzRGUJxi4vPjRYdQBRoOPSgQJMIQAegbaQ1PF6lUHBfo4/I/UWLOiQECTNnis4gIqIAI/fra+sa2tDKLS6+NFJ0AFGg4dCDAk1vdJ3ngezIEG5t8aHSSnkvT02cOxdqk0l0BhERBRjbhAkwxMWJzhBK7ttjfSwGBfmpoiOIAgmHHhQwHHarGkAGgEYASA4xcOjhI61tnahrlPfWFvt114lOICKiAKRQqZAk8+8hcn9w4gfc4kJ0ETj0oEASByASQKNSAUWMQZcgOihYlcn8ELLo0aNhTkoSnUFERAEqcd48KLVa0RnC1DW2obWtU3RGMONhpkQXgUMPCiSJAEwAnEOiwqw6lVIvOihYlVc3i04Qyn7ttaITiIgogGkjIxGbny86Q6iKGnm/lvAxrvQguggcelAgsQPwAvAOsoRya4uPdLrcqG1oFZ0hjM5qhW38eNEZREQU4OzXXCM6QajKmhbRCcEsDQX5NtERRIGCQw8KCA67VQEgE0AzAKSGGjn08JHqulZ4vaIrxEmcPx9KjUZ0BhERBThLbi7MqfI9b7K6vgVuj0d0RjDjFheiC8ShBwWKaAAxABoAIM6o49DDRyrlvBxVqYT96qtFVxARUZCQ82oPt9uL2np5H4ruYxx6EF0gDj0oUCQCCAHQmBZqDDNr1KGig4JVZa18l6NG5+XJ/ppBIiLqOQkOBxRqtegMYSprZfwgxfc49CC6QBx6UKBIRNefV/ew6HCu8vCRpuZ2tLW7RGcIE3/VVaITiIgoiGgjI2EdO1Z0hjA818OnBqIg3yw6gigQcOhBgSIDQBsApIfxPA9fkfOLE5Vej9hJk0RnEBFRkImfOVN0gjDOlg608OpaX1EBGC46gigQcOhBkuewW0PRtdKjAQB6mfW9xBYFLzmf52GbNAlqMx+YEBFRz4qZMEHW31/k/NrCD4aJDiAKBPLdZEiBJBFAGICDZrVKHa7VWEUHBSOXy4PaBvkeOJbgcIhOkBy3243OTj6hI6KLo1aroVKpoFAoRKdIgspgQMyUKTj6xhuiU4SorG1BUny46IxgNVB0AFEg4NCDAkEiuv6sdgyKCo1X8lWUT1TXt8Aj07tqtRERiB49WnSGZHi9XpSXl6O+vl50ChEFKJVKBavVirCwMA4/ACTMnCnboUd1XQs8Hi+USv458IEc0QFEgYBDDwoEaQBcAJARbo4V3BK05HyeR9yVV0Kp0YjOkIwTAw+r1Qqj0ci/sBDRBfN6vXC5XGhsbERZWRlaW1sRG8tv3VHDh0NntaK9slJ0it+53V7U1LciOtIoOiUY9UZBfggKi5pEhxBJGYceJGkOu1UDoDeARgBINOn5yslH5HytnJwPmftfbre7e+BhsVhE5xBRgAoJCYFOp0N1dTWsVitUKpXoJKEUKhXiZ8zAwQ0bRKcIUVnbzKGHbygADADwkegQIinjQaYkdVZ0nefRBAAxRh2HHj7gbOlAa5s8r6o1JiYictAg0RmSceIMD6ORL06J6PKYTCZ4vV6eDXRcgowH7NW18l1N6gfc4kJ0Hhx6kNTFAjABaNYoFcpIHmLqEzX1raIThInnAaZnxC0tRHS5+HXkVGFZWTCnporOEKKxuQOdLrfojGDFoQfReXDoQVIXi66le55BltBolVIh7/WxPlLbIN+hR9zUqaITiIhIJmLz80UnCCPnG+J8jEMPovPg0IOkzo7jh5hm8hBTn5HrCxFDfDxC+/YVnUFERDIRc8UVohOEqZXxqlIfy0JBPs9pJDoHDj1Ishx2qwpACo6f53HbfQOiw9Zk1w68Obn4xsnRR/6QZiwrMSi4SfQytbW70NIqz/3Wcn7xSf61atUqWCwWHDlyRHSKUE6nE3379sW8efPg8XhE5xD5XVhWFvQ2m+gMIeS8qtTH9AD4BIfoHDgVJCmLQtchpg0A0Ng7PLY5xhT5dYwp8utcG144/k7axnZn/LHmxn6HmjpGHm5Wjz/SYhpU0xmuBjcTXwg5vwixTZggOiHwFEhgaXZh0WV/iKeeegp33nknsrKysGvXrh6IOreVK1eipKQE8+bNw0cffQStVtujH//pp5/Gk08+ieLiYnR2dqKurg7h4eE9+nv0hJtuugk2mw1//OMfoVT23HOXDz/8EOPHj8cHH3yAcePGXdSvffDBB7Fq1SpUVVUhKiqqR3pOfEyv19sjH4+Ch0KphG3CBBzZvFl0it/VN7XD7fFA1YP/7VO3HAC+/2ZGFKA49CDJcikQ16xT2XQuT6PO5UWbzXTGRyMdoTrzoVCd+VBGJP5y/G3KDndnZHlzXZ8jzrbcQ07v2CMthnHH2iLCXdD48VMICHLd2qI2m2HJzRWdQYK88ELX2HT37t347LPPMGzYMJ//ns899xxmzpyJu+66C7/73e967ON+/fXX+MlPfoKCggIsXrwYarUaISEhPfbxe8rvfvc77Ny5E//973+h0+lE5xAJY5s4UZZDD4/Hi4bGdkSGG0SnBKMcAH8UHUEkVRx6kGRtTzINcCsUKSqPt48qwuB1mzQXfIemR6vSVCeGWqsTQ/HxaGA9AHi8XlNtW31iidOZc9jpGn2oWTuhpDU0vclt9t1nIX1yXelhHTsWyh5+2k6BYdu2bdixYweuvPJKvPvuu9iwYYNfhh5qtRrvvvtuj3/c3bt3A+haRZHbQ4O8lpaWHr+2+LbbbsNtt93Wox+TKBBFjRgBlcEAd6v8vv/WNLRy6OEbPMyU6By4vowkqzJUq6w1qfc3GFSfVufG1l32B1QqFM1RhvC9A6MTNs9KTvrxz/rF9f3NULPmqcGtCff2LZu8IP7IA7lhJR/GaGvblJDFZnOXy4NGZ7voDCG4tUW+NmzYAAB49NFHkZeXhz/96U9oaTn9eKD29nasXr0aGRkZ0Ov1sFgsGD9+PD7++OPu9/F4PHj66aeRk5MDg8GA8PBwDB8+HO+8884pH+vVV1/FiBEjYDKZYDabMXnyZGzfvv2U9zl48CAWLFiAuLg46HQ62Gw2TJw4EV9//fVZP5dx48bhuuuuAwAMGzYMCoUCS5Ys6f75f/zjH5g4cSJCQ0NhNBoxcuRIvP/++6d8jAcffBAKhQJffvkl5s6di4iICKSkpAAAlixZArPZjG+//RZTpkyByWRCbGwsHn30UQDAp59+ilGjRsFkMqFPnz54+eWXT2ssLy/HLbfcgoSEBGi1WiQnJ2PVqlVwuVxn/bxO/ndw9913IyYmBkajEWPGjMH27duRlJR0yud5Nu+88w5GjBgBo9GIkJAQTJo0CZ988skZ37ekpASzZ89GaGgowsLCcN1116GqquqU93n11VcxefJkxMbGwmAwIHGXZoYAACAASURBVCMjA/fddx+am5vP20J0gkqvR/SoUaIzhJDrgxY/GCA6gEjKOPQgSVI40hUAenuVitp2rer7zqFx9b76vVxGjeFYWnjs36/oZX/o5oxe49cMijQ+k+uNWN2vZkhBUvEtE6OObEoxlJfpFEG3D6SusRVy3HKuUKlgvch9/xQcWltbsXnzZgwdOhT9+vXD0qVL0dTUhNdee+2U93O5XJg6dSoeeughTJ8+HW+99RZeeukl5OXlobi4uPv9lixZgjvvvBNDhw7Fq6++ij/96U9wOBw4fPhw9/s88sgjuOaaa5CZmYktW7bgD3/4AxobGzF69OhTzhOZNm0atm/fjnXr1uHvf/87nn32WQwcOBD19Wf/8vfMM8/gl7/8JQDgxRdfxCeffIIVK1YAAP74xz9i8uTJCA0Nxcsvv4wtW7YgMjISU6ZMOW3wAQCzZ89GamoqXnvtNTz33HPdb+/s7MTs2bNx5ZVX4u2338bUqVNx//33Y/ny5Vi8eDGWLl2Kt956C+np6ViyZMkpw5zy8nLk5ubib3/7Gx544AFs3boVN954I9auXYubbrrpvP++brjhBqxfvx433HAD3n77bcyZMwezZs065z+TEzZt2oSZM2ciNDQUmzdvxoYNG1BXV4dx48bho48+Ou39Z82ahdTUVLz++ut48MEH8ec//xlTpkxBZ+cPBz1/9913mDZtGjZs2ICioiL89Kc/xZYtWzBjxozz9hCdzDZxougEIeoa2njWjW9EoSA/QXQEkVRxewtJlQlANAAnACA+1OrP39yrVqrq48yW7XFmy/bhwO+Pv11f394Uf8zZmH3I2TnyULN6QnFLSE5tZ5gyQM9Mlet5HpGDB0MrwUMeyfdef/11NDQ04MYbbwQAXH311fjpT3+KDRs2YPHixd3vt3nzZnzwwQf4v//7PxQUFHS//eS/3P7nP//BK6+8gl/84hdYs2ZN99vz83847LWkpAQrV67Ej3/8Y/z2t7/tfvukSZOQmpqKVatW4bXXXkNNTQ327duH9evXd6/cALoGEeeSmZnZvSqjX79+GDJkCICu7Sl33nln98DmhGnTpmHQoEFYvnw5Pvvss1M+1uLFi7Fq1arTfo+Ojg6sWbOmu2XcuHH461//irVr1+LLL7/EwIEDAQBDhgyB1WrFpk2bMHjwYABdq0jq6uqwe/duJCYmAgAmTpwIg8GAe+65B8uWLUNmZuYZP7c9e/Zg8+bNuPfee7F27druf242mw3XXHPNOf+5eDweLFu2DNnZ2di6dWv3oanTpk1DSkoK7r33Xvz3v/895dfMnj0b69atAwBMnjwZNpsNCxcuxJYtW7Bw4UIA6B4wAYDX68XIkSORkZGBsWPHYufOnejfv/85u4hOsI0fDygUkNuTh06XB03NHQg181wfH8gBcFR0BJEUcaUHSZUNXYOPrjXD1jMfYupvbeG6kO+zLPF/nm5PWnZHZsLgx4aEaZ7J7bD9MrNyzKJeR5aNiih+L0Ff1aRSnH/dtgTU1stzmalcn7BR19YWg8GABQsWAADMZjPmzZuH//znP/juu++632/r1q3Q6/VYunTpWT/W1q1bAeCc51T87W9/g8vlOu3jhISEYPz48fjXv/4FAIiMjERKSgoee+wxPPHEE/jqq68u60rXjz/+GLW1tVi8eDFcLlf3D4/Hg/z8fHzxxRenbcmYM2fOGT+WQqHAtGnTuv+/Wq1GamoqYmNjuwceJz4Hq9V6yrW8f/3rXzF+/HjExcWd0jF16lQA6P78z+TEz82fP/+Ut8+dOxdq9bmf2ezbtw+lpaVYtGjRKbfEmM1mzJkzB59++ulpW5pODDZOmD9/PtRqNT744IPutx08eBDXXnstYmJioFKpoNFoMHbsWADA3r17z9lEdDJdVBQicuR5DAO3uPgMt7gQnQVXepBUWdF173gb1EoFwvXRooPOxqNTaSuTQq2VSaH4z1jg1wDg8XrNNa11ScVO58BDTvfow826iSWtYb2bPT17MuBl8Hi8qGuS50oP6/G/pJC8HDhwAP/+978xZ84ceL3e7i0Sc+fOxYsvvogXXnihe0VBVVUV4uLiznmtalVVFVQqFWJiYs76PhUVFQCAvLy8037uxBAC6BosvP/++1i9ejXWrVuHu+++G5GRkVi4cCEefvjhi76N5cTvO3fu3LO+T21tLUwmU/f/j42NPeP7GY1G6PX6U96m1WoRGRl52vtqtVq0tf3wdaWiogJ/+ctfoNGc+eKs6urqs/bV1NQAAGy2U2fearUaFovlrL/u5F97ps8pLi4OHo8HdXV1pxzW+r//Hk/8Pic+ltPpxOjRo6HX67FmzRr06dMHRqOx+yyQVhkeSkmXxzp2LOq++kp0ht/VNrQhKV50RVBKEx1AJFUcepBU2QB4AXiRbomEWhlYf1aVCoUz2hixK9oYsWuwFa8cf7PG2dESe6y5IetwU/uIQ82q8UdaTMOqOiI08P/+mKaWDrjd8lpWCwBaiwUhaXxdIEcvvPACvF4vXn/9dbz++uun/fzLL7+MNWvWQKVSITo6Gh999BE8Hs9ZBx/R0dFwu90oLy8/68AgKioKAPDWW28hOTn5nH12u737kNX9+/djy5YtePDBB9HR0XHKGRsX4sTv+/TTT2P48OFnfJ//HSYofPBlKCoqCv3798fDDz98xp+Pi4s76689MdioqKhAfPwPf0NyuVzdg4jz/dqysrLTfq60tBRKpRIRERGnvL28vPyMv8+Jj/XPf/4TpaWl+PDDD7tXdwC4oPNFiM7Ecpb/NoNdg0wfuPhBqugAIqkKrL9IkpwkAujaItL7f16ZBrBOs9ZYnK41FqdHYOvxtyk6Pa6Iiua61GJn65BDTu/Ywy368UfbwqM7vT7d8CrXFx1RMn2RKXdutxsvv/wyUlJSUFhYeNrP//Wvf8Xjjz+OrVu3Yvr06Zg6dSo2b96Ml1566axbXKZOnYq1a9fi2WefxerVq8/4PlOmTIFarcZXX33VvaXjQvTp0we//OUv8cYbb+DLL7+84F93wsiRIxEeHo49e/bg9ttvv+hf31OmT5+O9957DykpKacNGc5nzJgxALpuTBk0aFD3219//fXz3vySnp6O+Ph4bNq0Cffcc0/3QKe5uRlvvPFG940uJ9u4cWP3WSQAsGXLFrhcLow7fujxiY+h0536pfn555+/qM+L6ITw/v2h1OngaZfXLWrOlk643B6oVdxl38M49CA6Cw49SHIUjnQlgCScOM8jLiRohh5n4tUo1bUJIdGfJ4Tg8zzgGQDwemGob2/sVeJs7H/Y6Rp9yKkZX9Iaml3vvrg17ufQ0CSvF1knWIYNE51AAmzduhWlpaX41a9+1f2X2JP169cPv/3tb7FhwwZMnz4d11xzDV588UXceuut2LdvH8aPHw+Px4PPPvsMGRkZWLBgAUaPHo1FixZhzZo1qKiowPTp06HT6fDVV1/BaDTijjvuQFJSElavXo0VK1bg0KFDmDZtGiIjI1FRUYHPPvsMJpMJq1evxs6dO3H77bdj3rx5SEtLg1arxT//+U/s3LkT991330V/vmazGU8//TQWL16M2tpazJ07F1arFVVVVdixYweqqqrw7LPP9sA/2XNbvXo1/v73vyMvLw8/+clPkJ6ejra2Nhw+fBjvvfcennvuOSQknPnCgaysLFxzzTV4/PHHoVKpMGHCBOzevRuPP/44wsLCzrn1SKlUYt26dVi4cCGmT5+OW265Be3t7XjsscdQX1/ffeXuyd58802o1WpMmjQJu3fvxooVKzBgwIDuM0Xy8vIQERGBW2+9FStXroRGo8HGjRuxY8eOnvmHRbKj0ukQOXgwqk+6BlsumpwdiAjTn/8d6WLYUJBvRmGRU3QIkdRw6EFSFAkgFD8cYhrUQ48zUijQGqEP3R+hD93fPwonFuKr2lzt0aXN9X0PO9uGHXYqJhxuMY4qb48weqC62N+CQw+6JIVFogsuyYYNG6DVanHDDTec8eejoqIwa9YsvP7666ioqIDNZsN7772HtWvXYvPmzVi/fj1CQkIwYMCAU25neemllzBo0CBs2LABL730EgwGAzIzM7F8+fLu97n//vuRmZmJJ598EkuWLEF7eztiYmIwdOhQ3HrrrQC6zpNISUnBM888g5KSEigUCvTu3RuPP/447rjjjkv6nK+77jokJiZi3bp1uOWWW9DU1ASr1YqcnBwsWbLkkj7mxYqNjcW2bdvw0EMP4bHHHsPRo0cREhKC5ORk5Ofnn3f1x4svvojY2Fhs2LABv/nNb5CTk4MtW7YgPz8f4ee5genaa6+FyWTC2rVrcfXVV0OlUmH48OH44IMPznjGyptvvokHH3wQzz77LBQKBWbMmIH169dDq9UC6Noy8+677+Luu+/GddddB5PJhJkzZ562EoXoYliGDZPl0KPB2c6hh2+kAvhadASR1Ch4VzZJjcKRngbgQQDFANrxmynzkRKZIbZKwtweT2h1a31ysbN50CGnZ8zhZu2EkrawxNazH5rq9Xqx9T/fy+5MD63Fgimffy46Q9La2tpw6NAhJCcnn3Z4JZEUfPzxxxg5ciQ2btyIa6+9VnQOnQO/npxfzRdf4OPjt0nJiT0uDP3TraIzgtE8FBadfmgVkcxxpQdJUQQAHYAOAEC4Xn4rPS6GSqlstJkid9hMkTuG2vDi8TdrmzqccUedjf0OOzvyDjlVE4pbQgZXd4apoVA4WzplN/AAeJ4HUaD5+9//jk8++QSDBw+GwWDAjh078OijjyItLQ2zZ88WnUd02eR6rkejU16frx/xXA+iM+DQg6QoAidubgGAEB2HHpegI0RrPpwRaT6cEYm/Hn+bssPdGVneUr945zfeWYPcoZ4dSnXLTqg7mv1+eYwQ3NpCFFhCQ0Px//7f/8P69evR1NSEqKio7gNkuXKAgoFcz/VodLbD6/X65NYomePQg+gMOPQgKYoA0PVd0GYyQKvy6S0mcuLRqjTViSHRFn0LRqYe+f/s3Xl8jGf3+PHPZCYzWSVEiKWVNNY01gqaPip2ImiVb60l6a4tqmhLi+CxdXlqKe3jiQStvZQi1K+i1lpKKVVtVSwlESFC9ll+f4yMjCy2Se6ROe/Xa16Ve7nm3JnpZObMuc4F3cEInDNWMF667K7P/dPZaDri5JT7i8o545/y905Ekh5CPFxatmzJrl27lA5DiFLliH09DEYTNzLz8HTXKh1KeSNJDyGKIEkPYY+qAea6xzo+UuVRChrlXLL82wmo5ZTuVKtKupYqwFPm7VdULpy/7qm/keiiNx5Tq4y/qDTXT6A26h/OXIiucmU8a8t7ASGEEPbFURPy6TdyJOlhe/JGR4giSNJD2BVVj3oqzEmPbAAeqSBJj1LQKCf5jsdUMmVTySNbQzAagoG+kIOas3kVDFcuuurzfteYTL84qbOPqpyzr9p/IqRSSIjSIQghhBCFeDdqhJNWizE3V+lQylT6jRxqVPVUOozypjovdXHlf5uzlA5ECHsiSQ9hb9wwL1drfrH285Ckh415G7J4RJ9+X+fqMFDH+aqaR6+qeRToZN5+AQ9T0hX3vKxTWqPpqNpJf0SluX4Kp/xZSvbAu1EjpUMQQgghClHrdHjWq8e1X39VOpQydU2amZYGFRAIHFM6ECHsiSQ9hL3xBlyBFAAqu0nSw8aCC0xtsZXq3FBVr3RDSyXgZkHFdZUzZzO99OnnXAyG39SYflFpbvyqUuuzlUmEeAUHK3K/QgghxJ14Bwc7XNJDVnApNbWRpIcQViTpIexNRcCF/OktFV0l6WFj9XJTy+R+PE15PO56WUNdNNQFngEDKs4ZKhhTLrnpc/5wNnLESZ1zRKXJTCr9pqlejz9e2nchhBBC3Bevhg1h2TKlwyhTObkGcnL16LTyccTGpK+HELeRVxlhbyoCakAPgJcsV2trdcso6VEUNSb81dec/Ktd01INaGPenoIr/6R75mWe1hqMxzQq4xGV5vrvqI0G2+RC3B59FK2Xl03GEkIIIWzN20ET8xlZeZL0sD1JeghxG3mVEfbmVpJD46TCXVtBwVjKJSWTHsXxJQvfClnONMaZxsAAyEbNmVwvw9ULrnr9CQ2mI07qrCNoctLvPREiU1uEEELYM8+6dR2ymWlGVh6VvFyVDqO8kaSHELeRpIewN5UBIwC1K3nhpHJSNpzyxx6THkVxwUA97RU1/qjxB7qat583eZqSU93zsv7SmjjqpMo7onK+kVjy9BhvSXoIhUVHRzN79mwOHTpErVq1lA5HCGFnnLRah2xmmpmVp3QI5ZH8kRHiNpL0EPamOvn9PAK8ZWqLjalMJh7Lu6p0GA+kpuq6qmbl61oqA63M266pdJzL8NSnn3XRG4+pVaYjTuobx9Hoc8y5EKn0sB0VE5UOAZMNYpg9ezbDhw/n8ccf59ix0u/3NmHCBM6dO0efPn3YtWsXWq221O/zYTF16lSCgoJ45plnbDruxIkTiY6OxmQy3fO5YWFhXL582abPjbCwMAC2b99uszFF+eKIzUwzJOlRGvyUDkAIeyPfogu7oepRTw1UIX+52hoVJOlhY7Xy0nAxGZQOw+a8TDkEu13WhNY/7/Kv3md0rSef1nRYc4agdVeMVRdk5Xg/4ZhzpUXxFi5cCMDx48fZt29fmdznF198ga+vL2+//XaZ3N/DYurUqXz77bdKhyGE4hwxQS9Jj1LhwUtd3JUOQgh7IkkPYU+8ADfyKz2quEvSw8YelqkttuCMkUBNmlOLWi46ZxdvpcMRduTgwYMcOXKEbt26ARATE1Mm96vRaNi4cSOff/55mdyfvcvKylI6BCHsimMmPRyrh0kZkmoPIQqQpIewJ/nL1ZrfCXvppImpjdXJu6J0CGXPpZnSEQg7k5/kmD59OqGhoSxfvpzMzMxCx+Xk5DBp0iQaNGiAi4sLPj4+tG3blj179liOMRqNzJkzhyZNmuDq6oq3tzetWrVi/fr1VmOtWLGCJ598End3dzw8POjUqRM///yz1TF///03ffv2pXr16uh0OqpWrUr79u355Zdf7nhN69ev58knn8TNzQ1PT086duzI3r17rY4ZMmQI/v7+hc6dOHEiqgJtcZo2bUrr1q0LHWcwGKhRowa9evWybMvNzWXKlCnUr18fnU6Hr68vkZGRpKSkWJ3r7+9PREQEa9asoWnTpri4uBAdHY1KpSIjI4NFixahUqlQqVSWaSDFOX/+PL1798bT0xNvb28GDBjAgQMHUKlUxMXFlXiu0Whk5syZlnirVKnCCy+8wPnz54s8fufOnbRq1QpXV1dq1KjBhx9+iMFgXS0XHR1Ny5YtqVSpEhUqVKBZs2bExMTc17Qa4dg869RB5eysdBhlKi/PSF5e+atAtQOS9BCiAEl6CHtSEdABOQC4ObspGk055EiVHha6hkpHIOxIVlYWy5YtIyQkhODgYKKiorh+/TqrVq2yOk6v19O1a1cmT55MREQEa9euJS4ujtDQUM6ePWs5bsiQIQwfPpyQkBBWrFjB8uXL6dGjB4mJiZZjpk6dSr9+/QgKCmLlypUsXryY9PR0WrdubdUzIjw8nJ9//pmZM2eydetW5s+fT9OmTUlLSyvxmpYuXUrPnj2pUKECy5YtIyYmhqtXrxIWFsauXbvu+XcUGRnJrl27+PPPP622f//991y4cIHIyEjAnEDo2bMn06dPp3///mzcuJHp06ezdetWwsLCClVyHDp0iNGjRzNs2DA2b97Mc889x969e3F1dSU8PJy9e/eyd+9e5s2bV2xsGRkZtG3bloSEBGbMmMHKlSupWrUqzz///F1d2+uvv867775Lx44dWb9+PZMnT2bz5s2EhoZy+fJlq2OTkpLo27cvAwYMYN26dfTu3ZspU6YwfPhwq+MSExN59dVXWblyJWvWrKFXr1689dZbTJ48+a5iEiKfWqfDIyBA6TDKnExxKRWS9BCiAGlkKuxJ/nQW89djkvSwuTq5Dljpoa2rdATCjqxevZpr167x4osvAvD8888zYsQIYmJiGDx4sOW4ZcuWkZCQwIIFC3jppZcs27t37275986dO1myZAnjxo1jypQplu1dunSx/PvcuXNMmDCBoUOHMnfuXMv2jh07Urt2baKjo1m1ahWpqamcPHmSzz77jIEDB1qOK1hVURSj0cjo0aNp2LAh8fHxODmZv8sIDw8nMDCQd999l927d9/T72jAgAGMHj2auLg4/v3vf1u2x8XFUbVqVbp2NS+ltHLlSjZv3sw333xjFWfjxo0JCQkhLi6O119/3bL90qVL/Pbbb9Sta/3/pJOTE76+vrRq1eqOsS1atIi//vqL+Ph4y++5U6dOZGZm8uWXX5Z47u+//85///tfhg4dypw5cyzbmzZtSsuWLfnPf/5jdb2pqamsW7eOHj16WO4nKyuL+fPnM2bMGB599FEAYmNjLecYjUbCwsIwmUzMmjWLDz/80KqKRog78QgI4PoffygdRpnKyMrDu4KL0mGUN1WVDkAIeyKVHsKeeAG33h26aCTpYWP+eSV/Y1wuSdJDFBATE4Orqyt9+/YFwMPDgz59+rBz506ryob4+HhcXFyIiooqdqz4+HgA3njjjWKP2bJlC3q9vtA4np6etG3blh9//BGASpUqERgYyEcffcSnn37K4cOHMRqNd7yekydPcuHCBQYNGmRJeORf13PPPcdPP/1U5NSdkvj4+NC9e3cWLVpkieHq1ausW7eOF154AY3G/H3Jhg0b8Pb2pnv37uj1esutSZMm+Pn5FVqlpFGjRoUSHvfqxx9/xNPT0yqxBNCvX787npuQkACYq3MKatGiBQ0aNOCHH36w2u7p6WlJeOTr378/RqORHTt2WLZt27aNDh064OXlhVqtxtnZmfHjx5OamsqlS5fu5fKEwF0qPYRtSKWHEAVI0kPYE0/g1rt8SXrYXE19utIhlD3nOkpHIOzEX3/9xY4dO+jWrRsmk4m0tDTS0tLo3bs3cGtFF4CUlBSqV69ulUi4XUpKCmq1Gj+/4t9bJicnAxAaGoqLi4vVbfXq1ZYpFSqVih9++IHOnTszc+ZMmjVrhq+vL8OGDeP69evFjp+aap6yVq1atUL7qlevjtFo5OrVe1+mOioqin/++YetW7cC5sqXnJwcq4RBcnIyaWlpaLVanJ2drW5JSUmFposUFeO9Sk1NpWrVwl9gFrWtqHOLi6N69eqW/SWNmf9Y5x+7f/9+OnXqBMCCBQvYvXs3Bw4cYNy4cYA0axX3zjGTHtLMtBRI0kOIAmR6i7AnXoA53e/mrMFZrVU2nPKlgiEbT6ODvbFQ+4Fa+uEKs4ULF2IymVi9ejWrV68utH/RokVMmTIFtVqNr68vu3btwmg0Fpv48PX1xWAwkJSUVOwH+sqVKwOwdu1aAu7wYaZWrVqWJqt//PEHK1euZOLEieTm5vLFF18UeY6Pjw8AFy9eLLTvwoULODk5UbGieeagi4sLOTk5hY67PTkB0LlzZ6pXr05sbCydO3cmNjaWli1bEhQUZHVtPj4+bN68ucjYPD09rX62xTQPHx8f9u/fX2h7UlLSXZ0L5t9VzZo1rfZduHDB8ljly09YFXU/+WMtX74cZ2dnNmzYgIvLrfJ8WYJX3C/p6SFsRJIeQhQglR7CnlQkP+lRzUOqPGzMIas8tFLlIcwMBgOLFi0iMDCQhISEQrd33nmHixcvWqasdO3alezs7BJXA8nvbTF//vxij+ncuTMajYbDhw9Tv379Im9FqVu3Lh988AENGzbk0KFDxY5fr149atSowdKlS61WC8nIyOCbb76xrOgC5hVULl26ZPVhPjc3ly1bthQaV61WM2jQIL799lt27tzJwYMHC03RiYiIIDU1FYPBQPPmzQvd6tWrV2zcBel0uruuiGjTpg3Xr1+3PE75li9ffsdz27VrB8BXX31ltf3AgQOcOHGC9u3bW22/fv16oVV4li5dipOTE08//TRgTuRoNBrUarXlmKysLJYsWXJX1yPE7dyLWGGpvMvO1isdQnkkSQ8hCpBKD2EXVD3qqYAK5Cc9fN0l6WFjNfMcMekh/TyEWXx8PBcuXGDGjBlFLokaHBzM3LlziYmJISIign79+hEbG8trr73GyZMnadu2LUajkX379tGgQQP69u1L69atGTRoEFOmTCE5OZmIiAh0Oh2HDx/Gzc2Nt956C39/fyZNmsSHH37I6dOnCQ8Pp1KlSiQnJ7Nv3z7c3d2ZNGkSR48e5c0336RPnz7UqVMHrVbLtm3bOHr0KO+9916x1+Xk5MTMmTMZMGAAERERvPrqq+Tk5PDRRx+RlpbG9OnTLcc+//zzjB8/nr59+zJ69Giys7OZPXt2oSVY80VFRTFjxgz69++Pq6troRVS+vbty9dff014eDjDhw+nRYsWODs7c/78eRISEujZsyfPPvvsHR+bhg0bsn37dr777juqVauGp6dnsQmTwYMH85///IeBAwcyZcoUateuTXx8vCVxU9J0pHr16vHKK68wZ84cnJyc6Nq1K4mJiXz44Yc88sgjvP3221bH+/j48Prrr3P27Fnq1q3Lpk2bWLBgAa+//rqliWm3bt349NNP6d+/P6+88gqpqal8/PHH6HS6O163EEXR+fig8fREX8K0tvImR5asLQ2S9BCiAEl6CHuhBVzIT3r4uErSw8Ycs9JDkh7CLCYmBq1Wa1lu9XaVK1fm2WefZfXq1SQnJ1O1alU2bdrEtGnTWLZsGZ999hmenp40btzYqolmXFwczZo1IyYmhri4OFxdXQkKCmLs2LGWY95//32CgoKYNWsWQ4YMIScnBz8/P0JCQnjttdcAc6+IwMBA5s2bx7lz51CpVDz22GN88sknvPXWWyVeW//+/XF3d2fatGk8//zzqNVqWrVqRUJCAqGhoZbjAgICWLduHWPHjqV3795Uq1aNvxnX1wAAIABJREFUkSNHkpKSQnR0dKFx69atS2hoKHv27GHAgAF4eXlZ7Ver1axfv55Zs2axZMkSpk2bhkajoWbNmrRp04aGDe9uuehZs2bxxhtv0LdvXzIzM2nTpk2hJqj53N3d2bZtGyNGjGDMmDGoVCo6derEvHnzCA8Px9vbu8T7mj9/PoGBgcTExPD555/j5eVFly5dmDZtmmXKSj4/Pz8+//xzRo0axa+//kqlSpUYO3as1e+qXbt2LFy4kBkzZtC9e3dq1KjByy+/TJUqVSwrBAlxrzwCAkg7elTpMMqM0WgiL8+As7P6zgeLuyWrtwhRgKpgOawQSlH1qFcR+AjIAK4yoGEwzwc/p3BY5cr4y9uJvvyj0mGUrRprwfMZpaN4qGRnZ3P69GkCAgKsehQIYc+mTp3KBx98wNmzZwv16xDKkdeT+3No5Ej+WbdO6TDKVFiLWni6Sys3G/Phf5uvKB2EEPZAKj2EvXADnAFzp00vF6n0sDGZ3iKEKA/mzp0LQP369cnLy2Pbtm3Mnj2bgQMHSsJDlAuO2Mw0J1cvSQ/b8wMk6SEEkvQQ9sMdc9LDPL3FU+uuaDTlUA2948wPtnB+TOkIhBA25ubmxn/+8x8SExPJycnh0Ucf5d133+WDDz5QOjQhbMKtVi2lQyhzObnS16MU+AG/KR2EEPZAkh7CXuRXepiTHh5aqfSwMYfr6aGuDE5STi1EeRMVFVVoJRkhyhPXqo7XjiEnV1ZwKQWO90QSohiyZK2wF26ACjA3mXGXpIet+elvKB1C2dJUUzoCIYQQ4p7pqlRROoQyJ5UepaLkzs5COBBJegh74UZ+wgPAzVmSHrZkMlHJkKV0FGVLU13pCIQQQoh75uLrq3QIZS5bKj1Kg4fSAQhhLyTpIeyFdQ8PF40kPWyogjEHDQ62UpNUegghhHgIaTw8ULs7VmszqfQoFZL0EOImSXoIe2Gd5HDVONZf+1Lm42hVHiBJDyGEEA8tR6v2kJ4epUKSHkLcJEkPYS+8gVtpfp3GVblQyh+Hm9oCkvQQQgjx0HJxsL4eUulRKiTpIcRNkvQQ9sKL/JVbfFx1OKnkuWlDlYyOmPSQnh5CCCEeTjoHW8ElJ9eAyeRg03BLnyQ9hLhJPlgKe3Er6eGp0yobSvnjY8hUOoSyp5ZKD2E/oqOj8fHx4cyZM0qHoqgbN25Qv359+vTpg9FoVDocIeyWo01vAdAb5DXBxiTpIcRNGqUDEELVo54a8ARyAXDRqBUNqByS6S3CVr4LDFQ6BLqfOvXAY8yePZvhw4fz+OOPc+zYMRtEVbIJEyZw7tw5+vTpw65du9BqbZvbnTNnDrNmzeLs2bPk5eVx9epVvL3tb7XCl19+mapVq/LVV1/h5CTfuwhRHEdcttZgMOEsn0xsSZIeQtwk7ziEPXAFnMmv9HDVyJ88G5NGpkJYW7hwIQDHjx9n3759ZXKfX3zxBb6+vrz99ts2HfeXX35h2LBhtG3blm3btrF37148PT1teh+28Pnnn3P06FHWrVuHTqdTOhwh7JpUeggbkKSHEDdJ0kPYAx3mqiNzFyudJD1szeEqPZw8wMlF6SiEnTp48CBHjhyhW7duAMTExJTJ/Wo0GjZu3Mjnn39u03GPHz8OmKso/vWvf9GqVSvU6gcrmMvMtP2UuDfeeIPjx4/bZQWKEPZGW6mS0iGUOUl62JwkPYS4SZIewh5oABVg/munfcB366IQb0O20iGULSf7+5Zb2I/8JMf06dMJDQ1l+fLlRX7Iz8nJYdKkSTRo0AAXFxd8fHxo27Yte/bssRxjNBqZM2cOTZo0wdXVFW9vb1q1asX69eutxlqxYgVPPvkk7u7ueHh40KlTJ37++WerY/7++2/69u1L9erV0el0VK1alfbt2/PLL78Uey1hYWEMHDgQgJYtW6JSqRgyZIhl///7f/+P9u3bU6FCBdzc3Hjqqaf44YcfrMaYOHEiKpWKQ4cO0bt3bypWrEjgzWlMQ4YMwcPDg99//53OnTvj7u5OtWrVmD59OgA//fQT//rXv3B3d6du3bosWrSoUIxJSUm8+uqr1KxZE61WS0BAANHR0ej1skSlEMXReDje51WDQRqZ2pjjPYmEKIYkPYQ9UGN+LpqTHjq1VHrYmJspT+kQypZK/s6LomVlZbFs2TJCQkIIDg4mKiqK69evs2rVKqvj9Ho9Xbt2ZfLkyURERLB27Vri4uIIDQ3l7NmzluOGDBnC8OHDCQkJYcWKFSxfvpwePXqQmJhoOWbq1Kn069ePoKAgVq5cyeLFi0lPT6d169ZW/UTCw8P5+eefmTlzJlu3bmX+/Pk0bdqUtLS0Yq9n3rx5fPDBBwDExsayd+9ePvzwQwC++uorOnXqRIUKFVi0aBErV66kUqVKdO7cuVDiA6BXr17Url2bVatW8cUXX1i25+Xl0atXL7p168a6devo2rUr77//PmPHjmXw4MFERUWxdu1a6tWrx5AhQ6ySOUlJSbRo0YItW7Ywfvx44uPjefHFF5k2bRovv/zyXT5qQjgejZub0iGUOan0sDl5MyTETfLhUtgDDQWTHlLpYXOuRgf7RlUqPUQxVq9ezbVr13jxxRcBeP755xkxYgQxMTEMHjzYctyyZctISEhgwYIFvPTSS5bt3bt3t/x7586dLFmyhHHjxjFlyhTL9i5dulj+fe7cOSZMmMDQoUOZO3euZXvHjh2pXbs20dHRrFq1itTUVE6ePMlnn31mqdwAcyKiJEFBQZaqjODgYJo3bw6Yp6cMHz7ckrDJFx4eTrNmzRg7dmyhXiaDBw8mOjq60H3k5uYyZcoUSyxhYWFs2LCBadOmcejQIZo2bQpA8+bNqVKlCkuXLuWJJ54AzFUkV69e5fjx4zz66KMAtG/fHldXV0aNGsXo0aMJCgoq8RqFcEQad3elQyhzBkl62JokPYS4SSo9hD2wrvTQSqWHrbk6WqWHk/ydF0WLiYnB1dWVvn37AuDh4UGfPn3YuXMnf/75p+W4+Ph4XFxciIqKKnas+Ph4wNyrojhbtmxBr9cXGsfT05O2bdvy448/AlCpUiUCAwP56KOP+PTTTzl8+PADLem6Z88erly5wuDBg9Hr9Zab0WikS5cuHDhwgIyMDKtznnvuuSLHUqlUhIeHW37WaDTUrl2batWqWRIe+ddQpUoVq2V5N2zYQNu2balevbpVHF27dgWwXL8QwppaKj3Eg9PyUhdnpYMQwh5I0kPYg/yeHubJnFLpYXOuJqn0EOKvv/5ix44ddOvWDZPJRFpaGmlpafTu3Ru4taILQEpKCtWrVy9xWdWUlBTUajV+fn7FHpOcnAxAaGgoLi4uVrfVq1dz+fJlwJxY+OGHH+jcuTMzZ86kWbNm+Pr6MmzYMK5fv37P15p/v71798bZ2dnqNmPGDEwmE1euXLE6p1q1olc8cnNzw8XFujGwVqulUhGNFrVaLdnZt3oIJScn89133xWK4fHHHwewXL8Qwpoj9vTQS0+P0uB4TyQhiiDfqAt7YF3p4SyVHrbmanS0Sg9JeojCFi5ciMlkYvXq1axevbrQ/kWLFjFlyhTUajW+vr7s2rULo9FYbOLD19cXg8FAUlJSsQmDypUrA7B27VoCAgJKjK9WrVqWJqt//PEHK1euZOLEieTm5lr12Lgb+fc7Z84cWrVqVeQxVatWtfpZpVLd033cbRyNGjXi3//+d5H7q1evbvP7FKI8UOt0qDQaTA7U8Negl0qPUuABXFU6CCGUJh8uhT2w7unh7CSVHjbm4nCVHvLFhrBmMBhYtGgRgYGB/O9//yu0f8OGDXzyySfEx8cTERFB165dWbZsGXFxccVOcenatSvTpk1j/vz5TJo0qchjOnfujEaj4fDhw5YpHXejbt26fPDBB3zzzTccOnTors/L99RTT+Ht7c1vv/3Gm2++ec/n20pERASbNm0iMDCQihUrKhaHEA8jjZsbeenpSodRZmR6S6lwvOYwQhRBkh7CHtyW9JBKD1uT6S3C0cXHx3PhwgVmzJhBWFhYof3BwcHMnTuXmJgYIiIi6NevH7Gxsbz22mucPHmStm3bYjQa2bdvHw0aNKBv3760bt2aQYMGMWXKFJKTk4mIiECn03H48GHc3Nx466238Pf3Z9KkSXz44YecPn2a8PBwKlWqRHJyMvv27cPd3Z1JkyZx9OhR3nzzTfr06UOdOnXQarVs27aNo0eP8t57793z9Xp4eDBnzhwGDx7MlStX6N27N1WqVCElJYUjR46QkpLC/PnzbfCbLdmkSZPYunUroaGhDBs2jHr16pGdnU1iYiKbNm3iiy++oGbNmqUehxAPI427u0MlPaSRaamQnh5CIEkPYR/yp7eYJ3NKpYfNyfQW4ehiYmLQarVERkYWub9y5co8++yzrF69muTkZKpWrcqmTZuYNm0ay5Yt47PPPsPT05PGjRtbrc4SFxdHs2bNiImJIS4uDldXV4KCghg7dqzlmPfff5+goCBmzZrFkCFDyMnJwc/Pj5CQEF577TUA/Pz8CAwMZN68eZw7dw6VSsVjjz3GJ598wltvvXVf1zxw4EAeffRRZs6cyauvvsr169epUqUKTZo0YciQIfc15r2qVq0aBw8eZPLkyXz00UecP38eT09PAgIC6NKli1R/CFECtYP19dAbpadHKZD+jUIAKpNJXmCEslQ96rUERgHHARjR6inaBXRQNKhyJu2P6XgZc5QOo+z4zgSf0UpH8VDKzs7m9OnTBAQEFGpeKYQQ90JeTx7Mzl69SDtyROkwykxNP0+aNii+MbS4L8343+bDSgchhNIk+yfsgRrz6i1mGqn0sDWH6+mh0iodgRBCCPFAnJwda2aCfA9bKuSznhDI/wjCPmjIn9oC4Owk065sTG1ysHmyKnlpE0II8XBTlbBkthB3SZ5EQiD/Iwj7YF3ZoZGkh62ZsP1SlPZNXtqEEEI85Bws6SFT7kuFYz2JhCiG/I8g7IF1kkOmt9ic472NkJc2IYQQDzep9BA2IE8iIZD/EYR9sE5yqCXpYWsmlVR6CCGEEA8VB/vbLYUepULeEAmBLFkr7IP189DoaA0oSp+8jxBCCCEeLnG9Gxj3tHScRuS5vlr9P+2qZiodx8NMlWd0Nng43zC4aDIBql/LNZ5WOigh7IAkPYQ9sK7sMBgNCsUhyg1J8wghhHi4mbINTk5ZjvM9ULaLszajsqssv/bg3PP/kVhZlooWAqTkSdgH6+SbXpIetuZ4jUwd502iEEKI8snhGns62luVsiFviIRAkh7CPlj/VZekh8052Nsm5G+8EEKIh53Rwf56O17/sTIhb4iEQJIewj5YJzkMJkl62JjDVXpIWxghhBAPOYdrcSafSkqDgz2JhCiavLwIe2Cd5JBKD/HAHKfxmxBCiPLJYHSsz6uOVddSZuQ9tRBI0kPYB+sX5DyDfGK1sTyVg/2vbsxQOoLy63eV8rcHEBcXh0qlKva2ffv2Es9XqVRMnDix0HiJiYmWbUuXLuWzzz57oDiFECIrL1vpEMqWTG8pDY6VOROiGLJ6i7AHUulRyjKdnPE25igdRtkxXlc6AmHnYmNjqV+/fqHtQUFB9zROt27d2Lt3L9WqVbNsW7p0KceOHWPEiBEPHKcQwnFl5DpW0sOkkaRHKZCkhxBI0kPYB0l6lLJMlbPSIZQtSXqIOwgODqZ58+YPPI6vry++vr42iMh2srKycHFxQSXfmgrxUMvMzVI6hDJldHawqtSyIUkPIZDpLcI+3Da9RZIetpbp5GhJjxtKRyAecunp6bz88sv4+Pjg4eFBly5d+OOPPwodd/v0lrCwMDZu3MiZM2esps3ky83NZcqUKdSvXx+dToevry+RkZGkpKRYjXv7NJp8/v7+DBkypND9f//990RFReHr64ubmxs5OQ5U2SVEOZXpYNNbDFr5WFIK5D21EEilh7AP1j08pNLD5jJUWqVDKFtS6SHuwGAwoNdbv/SoVCrUajUmk4lnnnmGPXv2MH78eEJCQti9ezddu3a947jz5s3jlVde4dSpU6xdu9Zqn9FopGfPnuzcuZMxY8YQGhrKmTNnmDBhAmFhYRw8eBBXV9f7up6oqCi6devGkiVLyMjIwNnZwRKdQpQzeqOBHH2e0mGUKaMkPUqDfAskBJL0EPbh9kamkvSwMcer9JCkhyhZq1atCm1Tq9Xo9Xq2bNlCQkICs2bNYtiwYQB07NgRrVbLuHHjShw3KCgIb29vdDpdoftYuXIlmzdv5ptvvqFXr16W7Y0bNyYkJIS4uDhef/31+7qe9u3b8+WXX97XuUII++NoU1tAkh6lRN4QCYEkPYR9sE5y5ErSw9Ycr6eHfLEhSrZ48WIaNGhgtS1/GkpCQgIAAwYMsNrfv3//OyY9SrJhwwa8vb3p3r27VZVJkyZN8PPzY/v27fed9HjuuefuOy4hhP3JzHW8KWrS08PmTEjSQwhAkh7CPhiAW5PepaeHzWVIpYcQVho0aFBsI9PU1FQ0Gg0+Pj5W2/38/B7oPpOTk0lLS0OrLXq62eXLl+977IKrxwghHn4ZeY5X6SE9PWwuw8REk9JBCGEPJOkh7IEBczZaBZhkeovtyfQWIe6ej48Per2e1NRUq8RHUlLSA41buXJlfHx82Lx5c5H7PT09Lf/W6XRFNiNNTU0t8lxZqUWI8iXTwZarBTA6y+uYjcmbISFukpSqsAf5SQ/z81Gmt9icTG8R4u61bdsWgK+//tpq+9KlS+/qfJ1OR1ZW4W9pIyIiSE1NxWAw0Lx580K3evXqWY719/fn6NGjVudv27aNGzfkuS2EI3DIpIdWrXQI5U260gEIYS+k0kPYAwPmdcTNKX6Z3mJzN5wcbfWWa2AygEreQImiHTt2rNDqLQCBgYF06tSJp59+mjFjxpCRkUHz5s3ZvXs3S5YsuauxGzZsyJo1a5g/fz5PPPEETk5ONG/enL59+/L1118THh7O8OHDadGiBc7Ozpw/f56EhAR69uzJs88+C8CgQYP48MMPGT9+PG3atOG3335j7ty5eHl52fT3IISwT+k5GUqHUOaMWqn0sDGp9BDiJkl6CHsglR6l7Ir6/pbBfHiZwHAJNNLnwObql4/pwZGRkUVuX7BgAS+99BLr169n5MiRzJw5k9zcXJ566ik2bdpE/fr17zj28OHDOX78OGPHjuXatWuYTCZMJhNqtZr169cza9YslixZwrRp09BoNNSsWZM2bdrQsGFDyxijR48mPT2duLg4Pv74Y1q0aMHKlSvp2bOnzX4HQgj7dfnGVaVDKHPS08PmJOkhxE0qk6l8vIEVDy9Vj3q1gWjgLJBDg8oVmdFxmMJhlSuRaYdZmLRe6TDKlv9BcHlC6SgeOtnZ2Zw+fZqAgABcXFyUDkcI8RCT15P7N2vHMhbuX6d0GGXq2Ft1MOqkQtOG1pmY+IzSQQhhDySlKuyBnoKVHpcyMhWNphy6rHZTOoSyp7+odARCCCHEfbmckaZ0CGXOKJUetiaVHkLcJK8uwh5Y9/RIzcrBaDIqGlE5I0kPIYQQ4uFxOcOxprcYtE4gq1DZmiQ9hLhJkh7CHuQnPW49H3P0jrdAfSm6rJGkhxBCCPGwSLnhWJUeejeZ1lIKZPUWIW6SpIewB9mYp7jcaqybrZcpLjaU6nCNTAH9BaUjEEIIIe5LioNVeuR5yNoKpUAqPYS4SZIewh5kAnmAs2WLJD1s6qqTK3ruvWz0egaMmAq12oFrEwjtBwd+Lf747ftB1aDw7fe/bx2zdTfU7QJeITD4PcjNvbXv2nXzvrO2yFdIpYcQQoiHUJ5BT1qWY31e1btL0qMUONaTSIgSSNJD2IOcm7dbSY8smd5iSyaViqv3Ue3x0gewdQ8smQG/roNOT0GHKPgnueTzTm6Ciztu3erUMm83GmHAGHitL+xZCvt/hQWrbp337ifmfY9Wv+dQC5OkhxBCiIeQIzYxzZOkR2mQ6S1C3CRJD6E40/qTJuAGBZMeGblS6WFj99rMNCsbvtkKM0fB0yFQuxZMfBMCasL8ZSWfW8UH/Hxv3dQ3p+pevgopV2BoP3i8DvRoC7+dMu/bfQgOHoPhg+7j4ooiSQ8hhBAPIUdMekilR6mQSg8hbpKkh7AX17BKeuRJ0sPGUu4x6aE3gMEALjrr7a462HWo5HOb9oJqraF9JCTsu7XdtxJU84Xvd5uTKjt/hkb1zFNcXo+GLybeSpA8MH0SyCJAQgghHjIpNxyrnwdIT49SIkkPIW6SpIewF2kUTHrckEoPW0vSeNzT8Z7u8GQTmDwfLlwyJ0C+Wg/7jsLFlKLPqeYL/42Gb2bBmtlQz9+c+NhxwLxfpYKV/zGPGRQBTRtAVC+YvgDatzInVJ7qD/W6wtyvH+x6QQ/68w86iBBCCFGm/rl2SekQypxUepQKmd4ixE3yCiPsRTpw6zv+6znS08PGzmsq3PM5S2ZA1Dio0cZcgdEsCPpHwKHfij6+XoD5lu/JpnAuCT6ONU+RAfjXE3CgQB+PP07DkvVweA08PQhGvABdWkNwD3i6ubkS5L7l/gHOjz7AAEIIIUTZOnPV8aZnSk+PUnFN6QCEsBfyCiPsRRZgsvyUli2VHjZ23vnekx6Bj8KPSyAjE9JvQLUq8PzbEFDj7sdo1Ri++q7ofSYTvDIBPnkXjCY4fAJ6dwY3V2gTAj8esEHSw73DAwwgbreGJkqHQC9+ua/z4uLiiIyMLHZ/QkICYWFhJY6hUqmYMGECEydOtBrz9OnT+Pv7A7B06VIuXbrEiBEj7ivOsnDixAlGjRrF3r17MRqNNGjQgJEjR9KnT597Huvy5cvUqFGD3NxcDhw4QPPmzW0eb1hYGJcvX+bYsWMlHpeYmEhAQACxsbEMGTLE5nGUV3v27OH7779nxIgReHt7Kx2OwztzxfGSHnqZ3lIabLEWnhDlgrzCCHthneS4KkkPW7ufSo987m7m29VrsGW3ubnp3Tp8wjztpSgxq8HHG3q0M48NkKe/9V+D4b5DNsv94wEHEOVRbGws9evXL7Q9KCjonsfq1q0be/fupVq1apZtS5cu5dixY3ab9EhPT6djx454enry3//+Fzc3N3bs2MHevXvvK+mxZMkScm+uPR0TE1MqSY+7Va1aNfbu3UtgYKBiMTyM9uzZQ3R0NEOGDJGkhx1IdLBKD6NahcHVVg29xE0ZJiZKpYcQN0nSQ9iLTEBl+elypiQ9bOx+kh5bdpmrMeoFwF9nYPTH5n9HPmve//6n5uVrF88w//zZIvCvAY/Xhtw8c4XHN9+be3zc7lIqTPkCdi81/1zRCxoEwmeLoVMo/LAXxr5ynxebT5IeogjBwcE2+2Du6+uLr28xWT2FZGVl4eLigkqlKnL/7t27+eeff4iPj6dLly4AhIeH3/f9LVy4kCpVqlCrVi2WLVvGp59+iqvrnZfIzszMxM3t3hos34lOp6NVq1Y2HbM8y3+uCPuRmZvNpRtXlA6jTOndJOFRCqTKQ4gCpJGpsBeZmKe3mN+lp2RITw8bO+vsdc/nXLsOb0yG+uHwwnvwr2bw/f/A+WbL2YspcLbAF1K5eTDqI2j0DLQeZF7lZeMX0KtT4bGHT4VRUVCj6q1tcVNh+SaIeB1GR0GLRvccsjVJeoj7lJ6ezssvv4yPjw8eHh506dKFP/4o/HyKi4tDpVKRmJgImKdhbNy4kTNnzqBSqSy3fLm5uUyZMoX69euj0+nw9fUlMjKSlBTr7sAqlcoyhaYgf39/q2kb+ff//fffExUVha+vL25ubuTk5BR7beqbSySdPHnyHn4jRdu3bx/Hjh1j0KBBvPzyy1y7do1vvvmm0HFhYWEEBwezY8cOQkNDcXNzIyoqyrJ/6dKlPPnkk3h4eODh4UGTJk2IiYkpNM6BAwdo3bo1bm5uPPbYY0yfPh2j8dYqTYmJiahUKuLi4gD49ttvUalU/PDDD4XGmj9/PiqViqNHj1q2HTx4kB49elCpUiVcXFxo2rQpK1euvKvfxZUrVxg6dCg1atRAq9Xy2GOPMW7cOKvH4vb4Cir4mJdG3MU9V95//31Gjx4NQEBAgOU5u337dsu5K1as4Mknn8Td3R0PDw86d+7M4cOH7+r3Iu7N2bQkpUMoc9LEtFT8o3QAQtgTeZUR9iIL0GNewSWXSxlZGE0mnIr5qlLcswsaT3JxQsvdL+P6f13Nt+LETbP+ecxL5tvdWPZJ4W0tGsGJjXcd3p3lnQZTLqi0NhxUPOwMBgN6vd5qm0qlsiQDTCYTzzzzDHv27GH8+PGEhISwe/duunYt4X+Gm+bNm8crr7zCqVOnWLt2rdU+o9FIz5492blzJ2PGjCE0NJQzZ84wYcIEwsLCOHjw4F1VSBQlKiqKbt26sWTJEjIyMnB2di722LCwMOrWrcu4ceNo2bLlA1VG5CcmoqKieOSRRxgxYgQxMTEMHDiw0LEXL15k4MCBjBkzhqlTp+LkZP7eZfz48UyePJlevXrxzjvv4OXlxbFjxzhz5ozV+UlJSQwYMIB33nmHCRMmsHbtWt5//32qV6/OCy+8UGR8ERERVKlShdjYWNq3b2+1Ly4ujmbNmtGokTm7mpCQQJcuXWjZsiVffPEFXl5eLF++nOeff57MzMwSe4RkZ2fTtm1bTp06RXR0NI0aNWLnzp1MmzaNX375hY0b7+2FrTTjvv250rx5czIzM5kzZw5r1qyxTNXKn+41depUPvjgAyIjI/nggw/Izc3lo48+onXr1uzfv/++poWJ4jlkE1Pp51EaJOkhRAHyKiPsRSaQR37SwwTkGrJw0di29tmBmVQqzjtX4LG8NKVDKUNGyP0bdIX7NwjHVdSHfLVabUmEbNmyhYSEBGbNmsWwYcMA6NixI1qtlnHjxpU4dlBQEN7e3kVOs1i5ciWbN2/mm2++oVevXpbtjRs3JiQkhLi4OF5//fX7uqb27dvedNJ2AAAgAElEQVTz5Zdf3tWxhw4dIjMzk2rVqtGlSxe2bt1KSEjIPd9nZmYmK1asoFWrVpYPvn369GHx4sWcOnWqUF+NK1eusGrVKtq1a2fZdvr0aaZOncqAAQP46quvLNs7duxY6P5SU1PZtGkTLVq0AKBDhw5s376dpUuXFpv00Gg0DBw4kPnz53Pt2jW8vMwVbydOnGD//v3MmTPHcuzQoUN5/PHH2bZtGxqN+e1R586duXz5MmPHjuWFF16wJGput2jRIo4ePcrKlSstfVE6duyIh4cH7777Llu3bi3ymopTmnEX9Vx59FHzKldNmza1NOQFOHfuHBMmTODNN99k9uzZlu0dO3akTp06REdHs2LFiru+LnFnjtjENNer+CStuG+S9BCiAJneIuxFwaSHWbZe+nrY2BlnB2xQJ1NcxG0WL17MgQMHrG779u2z7E9ISABgwIABVuf179//ge53w4YNeHt70717d/R6veXWpEkT/Pz8rKYT3Kvnnnvuro47deoUXbp04e233+bAgQPUrVuXTp068fPPP1uOmTJlClqttsQpMmBO4qSnp1tNU4mKisJkMhEbG1vo+IoVK1olPAC2bt2KwWDgjTfeuGPsfn5+loRHvkaNGhWqCLldVFQUWVlZVh/OY2Nj0el0lsf0r7/+4vfff7c85gUfn/DwcC5evFjidKBt27bh7u5O7969rbbnV1kUNU3lTkor7rt9roA5AajX63nhhResxnZxcaFNmzYP9JwVRXPESo+cilKNWQqkp4cQBUjSQ9iL/KTHreqjbL309bCxM5p77+vx0JOkh7hNgwYNaN68udXtiSeesOxPTU1Fo9Hg4+NjdZ6fn98D3W9ycjJpaWlotVqcnZ2tbklJSVy+fPm+xy64ekxJPv30U1QqFcOGDcPb25utW7dSt25dOnbsaOnRsH37djp06IBOpytxrJiYGFxcXOjSpQtpaWmkpaXRqFEj/P39iYuLw3Db8ktFxZjfy6RmzZp3jP32xwPMjUuzskr+U/H4448TEhJiScQYDAa++uorevbsSaVKlQDzYwMwatSoQo/N0KFDAUp8fFJTU/Hz8yvUPLZKlSpoNBpSU1PveH1lFffdPlcKjh8SElJo/BUrVjzQc1YUzRGTHrmS9CgNUukhRAEyvUXYi2wgF7j1LvtG7nXFoimn/tZWVDqEspd7QukIxEPGx8cHvV5Pamqq1QftpKQHazBYuXJlfHx82Lx5c5H7PT09Lf/W6XRFVloU9+G5uJVabnfq1Cnc3Nws0yC8vLzYunUrnTt3pkOHDowfP55t27axc+fOEsf5448/2LVrF3BrasTttmzZYrUqTFEx5q98c/78eR555JG7uob7ERkZydChQzlx4gR///03Fy9eJDIy0rK/cuXKALz//vtWU48KqlevXrHj+/j4sG/fPkwmk9V1Xrp0Cb1ebxk/f6WU2x/b4h7X0oj7bp8rBcdfvXo1tWrVuuvzxP1LvOJ4X9BLpUepkKSHEAVI0kPYBdP6kyZVj3rXAQ/LxitZV5WLqHw6qS38TWm5l31I6QjEQ6Zt27bMnDmTr7/+2tLTA8wrjNyN4qoPIiIiWL58OQaDgZYtW5Y4hr+/v9XqHGCeQnHjxo27iqE4wcHBbNmyhR9++MHSILNChQps2bKFdu3aMWLECAYPHsxTTz1V4jj5DUwXLFhA7dq1rfZlZWXRs2dPFi5ceMelcDt16oRarWb+/Pk8+eSTD3BlJevXrx8jR44kLi6Ov//+mxo1atCp061lperVq0edOnU4cuQIU6dOvefx27dvz8qVK/n222959tlnLdsXL15s2Q9QtWpVXFxcCj2269atUyTufPlVPbc/bzt37oxGo+HUqVP3NC1G3J9zaclcz3Gsmb1GjYo8T/k4Ugok6SFEAfIqI+zJNeDWV4aXMhyp42aZ+F1bWekQyl7OMTBmg5OL0pEIO3Hs2LFCq7cABAYG4uvrS6dOnXj66acZM2aMZXWL3bt3s2TJkrsav2HDhqxZs4b58+fzxBNP4OTkRPPmzenbty9ff/014eHhDB8+nBYtWuDs7Mz58+dJSEigZ8+elg/MgwYN4sMPP2T8+PG0adOG3377jblz51oaWt6vMWPGsHr1ap555hnefvttWrduzY0bN0hISODYsWM88sgjrFq1iqioKJ5++ukix9Dr9SxevJgGDRrw0ktFL9fUvXt31q9fT0pKiqWaoyj+/v6MHTuWyZMnk5WVRb9+/fDy8uK3337j8uXLREdHP9D15vP29ubZZ58lLi6OtLQ0Ro0aVagp6ZdffknXrl3p3LkzQ4YMoUaNGly5coUTJ05w6NAhVq1aVez4L7zwAp9//jmDBw8mMTGRhg0bsmvXLqZOnUp4eDgdOnQAzFUWAwcOZOHChQQGBtK4cWP2799fbEKttOPO17BhQwBmzZrF4MGDcXZ2pl69evj7+zNp0iTGjRvH33//TZcuXahYsSLJycns378fd3d3mz1GAn5L/lvpEMpcjrcWZKE+WzMBjjdPSogSSNJD2JOrwK0ax4vXpdLDxv7U+mDE0Zr56CHnV3C999UpRPlUcHpAQQsWLOCll17CycmJ9evXM3LkSGbOnElubi5PPfUUmzZton79O68ENHz4cI4fP87YsWO5du0aJpMJk8mEWq1m/fr1zJo1iyVLljBt2jQ0Gg01a9akTZs2lg+eAKNHjyY9PZ24uDg+/vhjWrRowcqVK+nZs+cDXXuVKlU4cOAAkydPZvHixUybNo0KFSrQqlUrvv32W55++mnatWtHt27d2LJlC6GhoYXG2LhxI0lJSbz33nvF3s8rr7zCmjVrWLJkCSNHjiwxpkmTJlGnTh3mzJnDgAED0Gg01KlTx6rKxhYiIyNZtmwZQJHLz7Zt25b9+/fz73//mxEjRnD16lV8fHwICgri//7v/0oc28XFhYSEBMaNG8dHH31ESkoKNWrUYNSoUUyYMMHq2E8+Ma/XPXPmTG7cuEG7du3YsGGD1aopZRV3vrCwMN5//30WLVrEggULMBqNJCQkWLYHBQUxa9Ysli1bRk5ODn5+foSEhPDaa6/d1fji7pxIPq10CGVOpraUihQTE/OUDkIIe6IymUxKxyAEAKoe9XoB/YFjADSq6sOUdm8qGlQ5lPjXZ9TSX1M6jLJVdT5UlDfndyM7O5vTp08TEBBg6T8ghBD3Q15P7s0rK6ew7+wxpcMoU5daVCLp6SpKh1HeHDYxsZnSQQhhTxzrC19h765iLskz+zM1DUnK2dzvOgec4pL9852PEUIIIRR04pJUegibkH4eQtxGkh7CnqRhTnqYn5dZegOZebKCi405ZjNTSXoIIYSwX+fTkknPzlA6jDInSY9S4XhLAAlxB5L0EPbkKpBDwWVr03Okr4eNOWTSI+cYGAsv/ymEEELYg98csJ8HSNKjlEilhxC3kaSHsCdpQDbgemtLtqzgYmMnHXEFF/Ig17HmSQshhHh4nHDAlVsMOicM7rKmQimQpIcQt5Gkh7An6UAmcKvb2ZUsqfSwMYdcthZkiosQQgi75YiVHjneUuVRSiTpIcRtJOkh7IZp/UkjkEzBpMelDKn0sLF/nCuQ7uSAbzSyDiodgRBCCFEkR1yuNruyA74XKRtnlA5ACHsjSQ9hb5IomPT457pUepSCIzo/pUMoe1m7lY5ACCGEKORU6nmuZd9QOowyl1VVljEuBXrgL6WDEMLeSNJD2JvLgMry0+mrUulRCg67OGDSI/c30F9SOgohhBDCysFzvykdgiIk6VEq/jYxMU/pIISwN5L0EPbGOslx6mo6BqNRoVjKrcOOWOkBkPmj0hEIIYQQVhwx6WFSQZavJD1KwQmlAxDCHknSQ9ibq4ARUANgNJnIyLumaETl0CGXakqHoIzMBKUjEEIIIaw4YtIjp6IWk1Y+hpSC35UOQAh7JOtECXuTv2ytC5ABQHrOVSroKioZVHnzm86XHJUancmgdChlK3O70hE89Bp/3FfpEDgyavkDjzF79myGDx/O448/zrFjtl/OODExkYCAAD766CNGjRpV4rETJ04kOjoak8lk8zjKs3nz5uHm5saQIUOUDkWI+3Yq9TxXMtOVDqPMydSWUiNJDyGKIClWYW+uYk56uN7akiV9PWxMr1JzTFtF6TDKXu4J0CcrHYWwAwsXLgTg+PHj7Nu3T9FYXnrpJfbu3atoDA+jefPmERcXp3QYQjwQR6zyAMiqolM6hPJKkh5CFEGSHsLeZADXKbiCS2qWrOBSChyymSlIXw/BwYMHOXLkCN26dQMgJibmrs4zGAzk5OTYPJ6aNWvSqlUrm49bXmVmZiodghA247BJD6n0KC3S00OIIkjSQ9gV0/qTJm5ftjbphiQ9SoHjJj22Kx2BUFh+kmP69OmEhoayfPnyQh+kExMTUalUzJw5kylTphAQEIBOpyMhwdwXJi0tjXfeeYfHHnsMnU5HlSpVCA8P5/ffC3/J9umnnxIQEICHhwdPPvkkP/30k9X+iRMnolLdWrTqmWeeoVatWhiL6OHcsmVLmjVrZvnZZDIxb948mjRpgqurKxUrVqR37978/fffd/W72LVrF+3bt8fT0xM3NzdCQ0PZuHFjifHli4uLQ6VSkZiYWGpxh4WFERwczI4dOwgNDcXNzY2oqCj8/f05fvw4P/74IyqVCpVKhb+/v+W89PR0Ro0aRUBAAFqtlho1ajBixAgyMjLu6vciRFlxxKSHCUl6lJIkExOlD54QRZCkh7BHScCtusc/U1OUC6X8Oqxz1Gam25WOQCgoKyuLZcuWERISQnBwMFFRUVy/fp1Vq1YVefzs2bPZtm0bH3/8MfHx8dSvX5/r16/zr3/9iy+//JLIyEi+++47vvjiC+rWrcvFixetzv/888/ZunUrn332GV9//TUZGRmEh4dz7Vrx70ujoqI4e/Ys27Zts9r++++/s3//fiIjIy3bXn31VUaMGEGHDh349ttvmTdvHsePHyc0NJTk5JKncv3444+0a9eOa9euERMTw7Jly/D09KR79+6sWLHiTr/KMov74sWLDBw4kP79+7Np0yaGDh3K2rVreeyxx2jatCl79+5l7969rF27FjBXgrRp04ZFixYxbNgw4uPjeffdd4mLi6NHjx7SO0XYDUft55Hr7YxRp1Y6jPJIprYIUQxpZCrs0RWrn44kX8ZgNKB2kr+QNnTEpSp6VGhwsA8A+X09NFWVjkQoYPXq1Vy7do0XX3wRgOeff54RI0YQExPD4MGDCx3v4uLCli1bcHZ2tmybPHkyx48fZ+vWrXTo0MGyvVevXoXO9/T0ZMOGDajV5pev6tWr06JFC+Lj4+nbt+imsOHh4VStWpXY2Fir8WNjY9FqtfTv3x+An376iQULFvDJJ58wcuRIy3GtW7embt26fPrpp8yYMaPY38V7771HxYoV2b59Ox4eHgBERETQpEkTRo0axf/93/8VWeFRnNKK+8qVK6xatYp27dpZ3Z+rqysVKlQoNDVo9uzZHD16lH379tG8eXMA2rdvT40aNejduzebN2+ma9eud31dQpQWR6zyAMiqIlUepUSSHkIUQyo9hD1KA2690841GEnLvqxcOOVTppOWX3UO+sE/Y6vSEQiFxMTE4Orqakk4eHh40KdPH3bu3Mmff/5Z6PgePXpYJTwA4uPjqVu3rtUH++J069bNkvAAaNSoEQBnzpwp9hyNRsPAgQNZs2aNpSLEYDCwZMkSevbsiY+PDwAbNmxApVIxcOBA9Hq95ebn50fjxo3Zvn17sfeRkZHBvn376N27tyXhAaBWqxk0aBDnz5/n5MmTd7y+soi7YsWKhRIeJdmwYQPBwcE0adLEavzOnTujUqlK/L0IUZb2Jh5VOgRFyNSWUiNJDyGKIUkPYY9SgVwKTnG5lJGkWDTl2C7XR5QOQRk3vlM6AqGAv/76ix07dtCtWzdMJhNpaWmkpaXRu3dv4NaKLgVVq1Z4GlhKSgo1a9a8q/vM/6CfT6czv6xlZWWVeF5UVBTZ2dksX25ennfLli1cvHjRaopIcnIyJpOJqlWr4uzsbHX76aefuHy5+Fzx1atXMZlMRV5f9erVAUhNTb2rayztuIuKsSTJyckcPXq00Nienp6YTKYSfy9ClJXsvFx+OvOr0mEoQpIepUaamApRDJneIuxRMnADcAfMSyX8cz2ZBr5KxlQu7XZ7lLfSDigdRtnLiAdTLqi0SkciytDChQsxmUysXr2a1atXF9q/aNEipkyZYlWZUdT0Dl9fX86fP1+qsQYFBdGiRQtiY2N59dVXiY2NpXr16nTq1MlyTOXKlVGpVOzcudOSTCmoqG35KlasiJOTU6EeJAAXLlywjA/mKT4AOTk5VmMWlTwojbjvZYpN/viurq5FJrEKXpcQStp/7hhZebZfDcremVSQ5SdJj1IilR5CFEMqPYQ9uoa52uNWzfVfV0ruyCfuy25HrfQwXofMHUpHIcqQwWBg0aJFBAYGkpCQUOj2zjvvcPHiReLj4+84VteuXfnjjz8KNey0tcjISPbt28euXbv47rvvGDx4sFVCJiIiApPJxD///EPz5s0L3Ro2bFjs2O7u7rRs2ZI1a9ZYVZ0YjUa++uoratasSd26dQEsq6IcPWpdiv/dd0VXTJVm3AXpdLoiK2YiIiI4deoUPj4+RY5fcJUXIZSy49QhpUNQRLavDoOLtGgrBRnAOaWDEMJeSaWHsDum9SdNqh71/gYes2z8JUmmt5SC885enNVU4FG943WP58Z6cL9zTwZRPsTHx3PhwgVmzJhBWFhYof3BwcHMnTuXmJgYIiIiShxrxIgRrFixgp49e/Lee+/RokULsrKy+PHHH4mIiKBt27Y2iblfv36MHDmSfv36kZOTw5AhQ6z2P/XUU7zyyitERkZy8OBBnn76adzd3bl48SK7du2iYcOGvP7668WOP23aNDp27Ejbtm0ZNWoUWq2WefPmcezYMZYtW2apsAgPD6dSpUq8+OKLTJo0CY1GQ1xc3P9n7z7D4yqvtY//R71Llrvcq8CYXkwLLRUIDhAOEEIgBUggyUlICCHJG45CAqRAqKGEDgYMphgZg7GNce+9yB5b1eq9jaTRtP1+kFHBgGVbM8+U+3dduhzvvTW6J8hT1jzPWpSWfv7ra3/n/tTxxx/P7NmzeeONN5g4cSIJCQkcf/zx/PrXv+btt9/mvPPO4/bbb+eEE07A5/Oxf/9+Fi5cyG9/+1tmzJhxyNsX8Ref5WNZwSbTMYxwjE4yHSFc7bXIibDO9CL9p5UeEqzK6f37WdHaTrvbYS5O+FqVONZ0BDMcuaYTSAA999xzxMXF9ekt0duQIUO44ooreP/99w856jU1NZWVK1fyk5/8hP/+979ceuml3Hzzzdjt9u5+GAMhPT2dK664grKyMs4555zulRe9Pf300zz++OMsX76ca6+9lksvvZS7776btrY2zjjjjC+9/fPPP58lS5aQnJzMD3/4Q6699lqam5vJzc3lmmuu6b4uLS2NBQsWkJqayvXXX8/PfvYzpk+fzp/+9CcjuT/1l7/8hfPPP5+bb76ZM844g8suuwzoWsWyYsUKfvjDH3b/97n66qt59NFHGT16tFZ6iHG7q4uocTSajmFE2xgVPfxE/TxEvoRN8+olGNlmZp8K3EXXg7gPgMcvuZ6x6ZNM5gpHP29cz+PVh17SH5bGb4eE/i2ljxROp5OioiImTJjQ3ctBRORI6PHk8z2xag5Pr3nbdIyAs4C8n0/Bm6jtLX5wt0XOX02HEAlWWukhwaqarv2Jyd1Hqhzq6+EHEdvXA7TaQ0REAi5St7Y4h8Sr4OE/Wukh8iVU9JBgVUPPBJcuJU3q6+EH2+OH0xoVoVNMVPQQEZEAqmypY09NsekYRrSNSTQdIZxFZmdckX5S0UOCkpVrd9HVhbpngsueOq308AOfLYo1CaNNxzDDuR48qqWJiEhgLC+M3PembWpi6i91FjmFpkOIBDMVPSSYFQE9m4C3Vdfh9XnNxQlfS5InmI5gTutc0wlERCRCLNm3wXQEYzS5xW8i95dKpJ9U9JBg1ndlh8vro8lZayhLWFuUPPHQF4WrltdMJxARkQhQ62hk/f6dpmMY4cyMw5scYzpGuFpvOoBIsFPRQ4JZFeAC4ruP1LRpi4sfbI4fSW10hH4C07EC3CWmUwQdTfYSkaOlx5G+FuxZgy9C/z/RqFq/UtFD5BBU9JBgVk1XM9Oevh5lLSp6+IPNxsdJEbzFRas9usXEdH0S5/F4DCcRkVDndrsBiI7WxA6A+btXmI5gjENFD39S0UPkEFT0kGDWDNTTe4JLQaOKHn4S0VtcmmeZThA0oqOjiY6OpqWlxXQUEQlhlmXR3NxMfHw8sbGxpuMYV1hfzu7qItMxjNFKD78pssipMx1CJNhpc50ELSvXbtlmZhcCPe/Gt1Zp1IafLEyeZDqCOa48cG6FhJNMJzHOZrMxbNgwKisriY+PJzk5GZvNZjqWiIQIy7Jwu900NzfjcDgYNWqU6UhB4YPdK01HMMY5OA6P+nn4i1Z5iPSDHoEk2JUDPetiK1rbaXO1kByXZi5SeCqLTWdP3GCOcdWbjmJGyywVPQ5IT0+no6ODuro6amvVO1hEDl98fDyjRo0iLU1P1xDZRY+WSSmHvkiOlIoeIv2goocEu2rAomsrlg+ASkcZkzOnmQwVrhYlTYzgosfrMPQfYNPec5vNxsiRIxk2bFj3nnwRkf6Kjo7WlpZetpTbKW+O3AJyy0QVPfxIRQ+RflDRQ4JdNdBGV1+PVgAKG0tV9PCPhcmT+GVThI5791RA+1JI/qrpJEHj0/4eIiJy5ObnRe4qD09iNO1ZiaZjhCsPsNl0CJFQoEamEuxq6Cp29HxMsL261FiaMLc0aTyuSH5YaHnVdAIREQkjbq+HhfY1pmMY0zohGaLUF8pPdlnktJsOIRIKIvjdjYQCK9fuAgqAnk3Ba8sq8fg0T9MPHNHxLEsabzqGOa1vga/NdAoREQkTKwq30Ox0mI5hjLa2+JW2toj0k4oeEgrygZ7NwS6vj9q2CnNxwtvc1GzTEczxtULLG6ZTiIhImHh7+8emIxjjizqw0kP8RUUPkX5S0UNCQSngpXcPmv3N2uLiJ++lHGM6gllNT5lOICIiYaC8uYZVRdtMxzCmfVQSvnj1hfIjFT1E+klFDwkFpUALvbe47KlT0cNPymPT2Jgw0nQMc5wbwKm+YCIicnTe3r4EC8t0DGM0qtav2oBdpkOIhAoVPSQUNAKVQHr3kdWlKnr40dyIX+3xtOkEIiISwtxeD3N3fGI6hlHq5+FXmy1yvKZDiIQKFT0k6Fm5dgvIo2tsbZdKRztNznpjocLceykR3NcDoPlV8DabTiEiIiFqSf4G6tsj93mkc1Acrsw40zHCmba2iBwGFT0kVOw/8GfP3LPS5hIzUcLfzoThFMQOMh3DHKsNml8ynUJERELU7C0fmY5gVMtENTD1s5WmA4iEEhU9JFSU0rV/sWet5J66YlNhIkHEr/ZofBwsn+kUIiISYuw1JWwu22M6hlHq5+FXXmCp6RAioURFDwkVlUADvZuZri7VSg8/mpsa4X093PugbZHpFCIiEmIifZWHOymattFJpmOEs00WOU2mQ4iEEhU9JCRYuXYPsJvezUwLGlto7dSDvp+sShxDTXTkvmhpjYplse0D0zFERCSENHc4+GB3ZO88aM5OgyjboS+UI7XYdACRUKOih4SSAj77O1vaUmwkSQTw2aKYkzrNdIyAK4zP4D/jZvDulBNpSV5OK8WmI4mISIh4e/vHOD0u0zGMajo27dAXydFQ0UPkMKnoIaGkGOgAepYf2Ou0xcWPXks73nSEgFmZNpaHJ57DxvHjGZnoJMXmBiz28qLpaCIiEgKcbhevbIrsFYKd6bG0ZyWajhHO2oFVpkOIhBoVPSSUlAKNQEb3kTVlxabCRILViWMois049IUhyo2NOUOP47EpZ1OTNYixcQ5ibFafa/bzPh1UG0ooIiKh4r1dS2mI4DG1AE3HaJWHn62wyInspUQiR0BFDwkZVq7dxWf7euypa8LhajEWKtzZbLyeNt10igFXE5PEM6NP46Xs04keHMOo6LYvvNbCwz5eCWA6EREJNR6fl5c2zDMdwzhtbfE7bW0ROQIqekioyQei+xwpbS42kiRCvBpGW1x2JA3j0fFnsWjSMQxOcZNp6+zX9xXxFp00+jmdiIiEqo/2rKa8udZ0DKM6hsbTOSTedIxwp6KHyBFQ0UNCTTHgBHo2jO6oyTcVJhLkxQ9je/ww0zGOykeDJvPw5HOwjxnJ6IR2Em3ew/p+L04KmO2ndCIiEsp8lo/n179nOoZx2trid7XANtMhREKRih4SakqBJnr39VhUkI/Psr7wO+SohWJDU0dULK+MOJEnpp5F2/BkxsY4jmqCXgGv4+aLt8GIiEhkWl6wmfy6MtMxjLLQ1pYAWGKRo9e7IkdARQ8JKVau3QnY6d3Xo7qtg5q2yH614WevpR2Pz3SIfiqJS+eJsTN4a8qJJGfAiKj2AbldNy0U8/aA3JaIiISP59ZplUf7qETcabGmY4Q7bW0ROUIqekgo2gPE9D1St89MlMhQGpvOqsSxpmN8qTWpo3l44tmsnTCREUlO0mzuAf8Z+5iFFzVNFxGRLhtK89heqZcg2toSEItMBxAJVSp6SCjaB7QBqd1HVu3fayxNhHgl/QTTEQ7iwcY7Q6bx6JSzqRw1mLFxbcTa/LcmxUkN+3nfb7cvIiKh5bm1c01HMM6Kgqbs1ENfKEejwCKnxHQIkVClooeEolKgAsjsPrKuvJo2V6uxRBHg9dTpOGzBsXS1ITqB50adyvPZZ8CQWEZ/ycjZgWbnWa32EBERtpTtYU3JdtMxjGsdn4w3KebQF8rR0NYWkaOgooeEHCvX7gW2AH3XUm59NpwAACAASURBVBY2an2pHzmi43kj7TijGXYnDuGx8WfxweTjGJTqYYjNGfAM7VRQxFsB/7kiIhJcHlnxuukIQaH+xIxDXyRHS0UPkaOgooeEqr2AG+hZerC5Ultc/OyZjFON/NyPMyby8KRz2Dl2FKMS2kmyeYzk+NQensGNw2gGERExZ1nBJraU203HMM6VGkPrxBTTMcKdD1hiOoRIKFPRQ0LVPqABGNx9ZFFhIV6f11iiCLAucTQ74ocF5Gd12GJ4bfgJ/GfqWTSPSGVsrIPooxg5O5BcNLKPV0zHEBERA7w+H49qlQcADSdkgC1InpzD1xaLnAbTIURCmYoeEpKsXHsbsBMY1H2wpdNNRWuxqUyR4pn0U/x6++VxqTw15gxen3oyCYNsjBygkbMDbR8v46TedAwREQmw+btXkF9XZjqGcVYUNByvrS0BsMB0AJFQp6KHhLI8IBro+Yghr1Z9PfzslfQT6LANfMOyjSlZPDzhbFZMmMyw5E4ybMHdLNRLB3t4xnQMEREJIJfHzROr5piOERRaJqXgSVED0wB4x3QAkVCnooeEsr1AC5DefWRpsYoeftYUncjbqccOyG15gdzB2Twy5Rz2jx7K2Pg24vw4cnagFfEWbejTPhGRSPHmtkVUttSZjhEU6k8cdOiL5GgVW+RsNh1CJNSp6CGhrJKu8bU9o2t31TbQ7NSeAz97JuPotrg0RcXxQtbJPJt9Jp6hCYyJDs2moBYe8njCdAwREQkAR2c7z65913SMoNCZEYtjXJLpGJFAqzxEBoCKHhKyrFy7Rdfo2r7PuvkNWu3hZ8uTxmOPG3zoCz8jP2EQj407k3lTjic9zcdQW4cf0gVWKR/QhDr4i4iEu5c3vk9jR6vpGEFBDUwDRkUPkQGgooeEur2AC0joPrKhQkWPAHgy47R+X7s0fTwPTzqHzePGMSqxg2TDI2cH2k4eNh1BRET8qMbRwMsb55uOERR80TYapqcf+kI5WpXAatMhRMKBih4S6gqBOnpvcVlSVILbG9xdMMPA8+kn0xoV94XnO4nijWHH8/jUs2kYmc7YWAcxNiuACQOnhjWU87HpGCIi4if/XvoqHe5O0zGCQvOUVLxJamAaAHMtcsLzhZNIgKnoISHNyrU7ga1Az8w0p8dLaUuhsVARojU6npfSTjzoeFVMMk+PPp1Z2acRmxlFVlSbgXSBt51/4SH0t+uIiEhfG/bv4sM9q0zHCBoNJ2pMbYC8bTqASLhQ0UPCwR66xtb2/D7vqN5rLE0EeTRzBp/OWtmaPIJHJpzNkknZDE1xMcgWWZ+IdVCFnedMxxARkQHk9nq4/+MXTMcIGs7BcbSNUQPTAKgHlpkOIRIuVPSQcLAPaKL3ao/5+/bg9YXO7NMQtS9uMA8MP5tHJp9D/ujhjIlvI8HmNR3LmL28SCslpmOIiMgAeX3LAgrqNZr8U7WnZR76IhkI8yxywqsBmohBKnpIOKijq7dHzziRKkcHpS0FxhJFkNcGnciYGAdRauKOhYdt/N10DBERGQA1jgaeXPWW6RhBw50cQ9M0NTANEG1tERlAKnpIyDswunYbvSe4AGwo32EkUITZxjBKSDMdI2ioqamISHj499JXaXc7TccIGnWnDsKK1iccAdAKLDIdQiScqOgh4cIOtAGp3Udy7XY8PrexRBFkHpNMRwgq23lATU1FREKYmpf25Y2Lol4NTANlvkVOZDVGE/EzFT0kXBQBxcCw7iPNnS6KGtXQNABWMIZG4k3HCBodVKqpqYhIiFLz0oPVn5iBLz7adIxI8Y7pACLhRkUPCQtWrt0HrAWS6Jrk0mV1qba4BICHKD5koukYQWUfL9FKkekYIiJymF7d/KGal/bii7ZRd6oamAZIB/CB6RAi4UZFDwknO4AWoKfL1vx9+XR6tCE3AD5kIm3EmI4RNHy42UQOFpE7zUZEJNQUN1TwxKo3TccIKk3HpuFJ0fN7gCy0yGkzHUIk3KjoIeGkjK7xtT1bXJweL/sadhtLFEHaiWWBVnv00cA29jHLdAwREekHr8/H3QueotOjdmCfsoDa07XKI4A0tUXED1T0kLBxYIrLeiCe3ltclpdoi0uAzGMSHWjPb295/EfbXEREQsCsTR+wrUKtwHprmZxC52D17AoQNzDPdAiRcKSih4SbHUAj0POxxMKCYtrdDmOJIkgr8SxivOkYQcWHi43crW0uIiJBrKi+nMdXvmE6RtCpPWOw6QiR5COLnCbTIUTCkYoeEm5qgF3A0O4jPstid+1OY4kizHtMwaWHlj4a2cE+XjEdQ0REPsen21pcXm1r6a1tVCLtWYmmY0QSjQwS8RO9M5GwcmCLyyYgBnrts/ikWEWPAGkigSWMMx0j6OTxBC0Umo4hIiKf8cqm+Wyv3Gc6RtCp0SqPQKpDW1tE/EZFDwlHO4B6oOfZenlJOS2djcYSRZi5TMHdq62KdG1z2cTd+PCYjiIiIgcU1pfzn5Wa1vJZ7cMTaJ2UYjpGJHnVIkdLjUT8REUPCTtWrr0R2AIM6XNiZ40amgZILUksZ4zpGEGnkZ3a5iIiEiS6trU8qW0tn6PqK0MPfZEMpOdNBxAJZyp6SLjacuDPnsHyH+Wr6BFA7zAVr1Z7HGQ3T9CMpgOIiJj2wvpcdlTmm44RdByjE3GMTzYdI5JstsjZbjqESDhT0UPC1S6glt4NTbdU1VHfXm0sUYSpIoWlWu1xEB9u1vN7PLSbjiIiErG2lNt5YpW2tXwerfIIOK3yEPEzFT0kLFm5dgewkd6jawG2VWu1RwC9wTGa5PI5WiliK383HUNEJCI1dbRy1/uP4rV8pqMEnZYJybSPSjIdI5J0Aq+ZDiES7vRuRMLZVsALxHUfmb93Jz7LMpYowtSTxEdMMB0jKO0nlxI1ahcRCbi7FzxFVWu96RhBxwKqztUqjwB7zyJHjfZF/ExFDwlnu4EqYFj3kX0NzZQ2awNvAL3NVNp6tVaRHlu5j1aKTMcQEYkYszZ9wLKCTaZjBKXmqak4hyeYjhFptLVFJABU9JCwZeXancA6IKPPiU+KNxoJFKFaiWcek03HCEpeOljP7/HiNB1FRCTs7awq4KFlr5qOEZQsG1SfO+TQF8pAKgMWmQ4hEglU9JBwtx1wAYndR+bu2YfD1WwsUQSax2SaiDcdIyg1s5ftPGg6hohIWGvtbOfOeY/g8XlNRwlKjdPS6czU83SAvWyRo8YyIgGgooeEu71AETCy+4jPsthUobWtAeQkhreZajpG0CpiDmUsNB1DRCRs3bPwv5Q315iOEZR80Taqz9YqDwNeMB1AJFKo6CFhzcq1u4HlQBK9f9/n5G3B61N1PYAWMoFq1BH+i2zmHhyUmo4hIhJ23tq2mIX2taZjBK2G49Nxp8eajhFpVljkqMecSICo6CGRYBNQD/S0JN/f7KCoaY+xRBHIQxRvcIzpGEHLg4N1/BYP7aajiIiEjW0Ve/n7khdNxwha3lgbNWdplYcBamAqEkAqekjYs3LtdXQ1NO07h21hgRqaBthyxlBAuukYQauZvWzk/2GhRUgiIkerurWe2+c+iNvrMR0laNXOGIwnWRPWAswBzDEdQiSSqOghkWIt0Akkdx9ZkF9Ek7PeWKIIZGHjeU4wHSOoVbCEPfzXdAwRkZDW4e7k13MfpL5dfcu/SGd6LLWnZZqOEYnmWOS0mQ4hEklU9JBIYaerqWlWn6Pry7XaI8D2MJiVjDIdI6jt5inKNcVOROSI5Xz0NHnVhaZjBLXKC4dhxeitgAHa2iISYHqkk4hg5dq9wAogHojuPvHmrq14fFr3GmAvcxzOXv8Z5GAb+TNN2E3HEBEJOc+tm8uCPatNxwhqreOTaZmcajpGJNpukbPSdAiRSKOih0SSTUA1MLz7SE2bk731O40lilD1JDGXKaZjBDUvTtbwa5w0mI4iIhIyluZv5LEVb5iOEdR8UVBx4TDTMSLVY6YDiEQiFT0kYli59mZgFTC4z4kP9mmLiwHvMYVaEk3HCGodVLKO3+LDbTqKiEjQK6gr5Q/zH8fCMh0lqNWfPIjOwfGmY0SieuBV0yFEIpGKHhJpNgBtQFr3keUl5dS1VxpLFKFcRPMy003HCHr1bGEr95uOISIS1Jo6Wvnfdx+g3e00HSWouZOiqT5bI2oNecYip8N0CJFIpKKHRJp8YDcwss/R1aVa7WHAakax6zMLb+RgxbzDXl4yHUNEJCh1elz85r1/U9ZcbTpK0Kv6ylB88eqpFXCW5QGeMB1DJFKp6CERxcq1W3Q1NI0BYrtPvLlrBy5vp6lckex5jsdrOkQI2MlDlDDPdAwRkaDi9fn4w/zH2FS223SUoNc+IoHG6emmY0Qmm+1di5xS0zFEIpWKHhKJtgDl9G5o2tLpJq92u7FEEayYDBYw0XSMkLCZHKpQ03cRkU/dt/g5Pt63wXSMoGcBFRcNB5vNdJRI9ajpACKRTEUPiThWrr0NWAkM6nPivT161WTIa0xTU9N+sPCyjjtoQPU5EZEnV7/FW9s/Nh0jJDROS6M9S8+zhmzWmFoRs1T0kEi1AWihd+FjU2Utpc2FxhJFMCcxPMsJpmOEBC9OVvNLWtCvqohErje3LuKp1W+ZjhESPAlRVJ2vEbUGPWI6gEikU9FDItV+YDswos/ReXtXGEkjbGQkaz/TX1Y+n4tmVnEbHahpn4hEnkV713Hf4udNxwgZFRcOx5McYzpGpKoAXjcdQiTSqeghEelAQ9NVB/4a131iQX4xNW3lRkIJz3ICbeiFWX90UMUqbsNFi+koIiIBs6E0jz/MfwwLy3SUkNAyPpmm49S81KDHLHLcpkOIRDoVPSSSbQdKgFF9ji7I175LQxpJ5FWmmY4RMlooYA3/ixen6SgiIn63p6aYX7/7L9xej+koIcEbF0X5N0Yc+kLxD8tyAE+ZjiEiKnpIBLNy7U5gMZAC9AytfztvD03OOlO5It1CJmD/TI9Z+WL1bGUtd+DFZTqKiIjfFNWXc9tb9+NwdZiOEjKqvjIUd1qs6RiRy2Z7ziKnyXQMEVHRQ2QtUAZkdR+xgCVFWu1hiIWNpzgJNxqr11/VrGQdd+BDK2hFJPyUNFRy05t/pb692XSUkOEYnUj9SRmmY0Quy/ICD5uOISJdVPSQiGbl2luAj4EMev97eG3HDhwuvboyZD/p5DLFdIyQUsVy1nOnCh8iElb2N1Zx05v3UNemD8z7yxdjo+wbI8GmDw+MsdnetsgpNh1DRLqo6CHS1dC0mt6TXFxeHyv3rzGWSHiTYyghzXSMkFLBJ6znDyp8iEhYKG+u4eY3/0qNo9F0lJBSffYQXJlxh75Q/OkB0wFEpIeKHhLxrFx7PbAUGAK99lS8sm0zTk+7oVgRz0MUj3KKtrkcpgoWq/AhIiGvtKmaH8/+C1Wt9aajhJT24QnUnpZpOkakW2GRs8F0CBHpoaKHSJcVQD0wtPtIq8vN+vJ1xhIJxWQwh2NMxwg5XYUPbXURkdBU0lipgscR8EVB2bdGQJQ+LDDsPtMBRKQvFT1EACvXXknXNpfhfU68vG09bq/GYhj0LlPZq2kuh62CT1inqS4iEmKK6sv5yex7qHE0mI4ScmrPGIxzaILpGJFujUXOAtMhRKQvFT1EeiwDWoCedaE1bU62Vm0ylkjwYeMxTqGz11Rh6Z9KlrGW3+BBIx5FJPgV1JXykzfuobZNPTwOV8fQeGrOGmI6hsD/mQ4gIgdT0UOkRzGwjt7jawFe2b4Gr89rIpB0qSCVWUwzHSMkVbOSVdyKixbTUUREvtCWcjs3vp6jsbRHwBdjY/+3s7Cita3FKMtaZZGzyHQMETmYih4iB1i5douuhqYd0GtsSHFTK7vrthmKJQd8wER2oE+xjkQ9W1nOj+ig2nQUEZGDLCvYxE/n/I3WzjbTUUJSxYXD6BwcbzqG2Gxa5SESpFT0EOnLDmwBRvU5+tqOVfgsy0giOcDGfziFNmJMBwlJLRSwlBtpodB0FBGRbnN3fMLtcx+k06PGy0eieUoKDSeq75VxlrXcIudj0zFE5POp6CHSy4HVHksAL5DcfWJnTQOFjbtN5ZIutSTxDCeajhGyOqhiOT+ige2mo4iI8Ny6ufzfR0/jtXymo4QkV2oMZd8YaTqGgFZ5iAQ5FT1EDrYD2AWM7nP0rbyVRtJIHysYwxLGmo4Rslw0s4JbqEK/ziJihs/y8Y8lL/Hoitmmo4QsywalF4/Em6gm38ZZ1lKLnKWmY4jIF1PRQ+QzrFy7F1hM17+Pntlvq0srKWq0m8olPZ7hBEpJNR0jZHlxsoZfUcI801FEJMK4vR7+MP9xXtv8oekoIa1mxmDaxiYf+kLxP5vtbtMRROTLqegh8vk209XfY0yfoy9t+1i9PcxzEcO/OY1OPYQdMQsvm/gze3nJdBQRiRBtrg5+8c4/WLBntekoIa1tZALVZ6uxd1CwrI8tclaYjiEiX07vGEQ+h5VrdwMfA3EHvrpsrqxld60muQSB/aTzAsebjhHydvIQm/kLXlymo4hIGCtrquaG1/7M2pIdpqOENG9cFPsvzYIojacNCurlIRISVPQQ+WLrgQI+u9rjuS2f4PF5jCSSPhYxgdVkmY4R8op5l5XcgpMG01FEJAxt2L+L62b9ify6MtNRQl7514fjzog79IXif5a10CJnlekYInJoKnqIfAEr194BfEhXX4+e3h75DS1sqVxvKpf09SQnU02S6Rghr56tfMJ1NKG2NSIycN7YupCfzrmXZqfDdJSQ1zAtjaZj003HkE9plYdIyFDRQ+TLraFrksu4Pkf/u2klLm+nkUTSRzuxPMjpuNFS36PVQRXLuJEyFpmOIiIhzu318LdFz3Lf4uc1knYAODPjqPjaCNMx5FOWtcAiZ63pGCLSPzZLPRlFvpRtZvYZwO1AGdDWfeI3Z53LBeO/aiqX9HUpBfwY7RUfKMfwU47lp9hUGxeRw9TQ3sIduQ+xqWz3gN92zZI8mneU0Vnbii0mmuTxQxhxyQkkDEs76FrLsih+bjmt9irG3XgO6dNHf84tdimdvY7GTcV9jiWNzWTyL7/e/feK3C00biwmKj6GkZeeSMZJPePTm7btp3FTCRN+/JWjv5Of4Y2PYt/3x+PK1LaWIHKGRc4G0yFEpH9iTAcQCQGbgK3AKUDPK7hnNq3jjFEzSIpNMRVMesxnEpNo5Hy0Z3wg7OFpWtjHafyNGG0fEpF+2ltbwq/efYCKllq/3L6joJbBZ08haUwmls9H1YIdFD2zjOzfXUxUXN+XtXUr9oKt/6sAU7NHMPrqM7r/bovpKfq25JXTtGU/E24+n866VkrfWE/KlOHEJMfj7XBRtWAHE2+54Kjv32dZwP5LslTwCCaWNd+y/UUFD5EQoo/wRA7ByrV7gQ8AF9CzmbbV5WZJ0VJDseRzPMXJFKL9zgOlgiUs5UYclJqOIiIhYNHeddzw2t1+K3gATLz5fDJPn0DCiHQSswYx5uozcDe1017WtxFzR0UjdcvtjP6f0/t927aYaGLTEru/YpLiu885q1tInjSUpDGZDDp5HNEJMbgauvqUVM7fxuCzJhM3KHlg7mQv1WcPoXWSPlsJKjZbjukIInJ4VPQQ6Z+dwDpgbJ+jL2zZQrOz3kgiOYiLaP7JDFrQJ2IDpYV9LOFaylhoOoqIBKlOj4v7P36BO3IfosMd2HZXXqcbgJiknsd9n8vD/lfXknX5qcSmJfb7thwFNezKmcuef8ynbM4GPA5n97nErAw6yhrxtLtoL2vA5/YSNziVtqJaOsobGXLulIG7Uwc0T06h5qzBA367chQsa7ZFzkbTMUTk8KjoIdIPVq7dAhYALUDPKxC3z8f8fUtM5ZKD1ZLEvzkdrxqbDhgPbaznTrbwN7w4D/0NIhIxShoqueG1u5m95aOA/2zLsqiYt5WkCUNIGJHRfbwidwtJ4weTPn1Uv28r9ZiRjL3uTCb97AKyLjuJ9tIGCp76BJ/H23U+eyQZp4wj/9FFlL2xnjHXzCAqLprydzYx6runUb+mgD3//ID8xxfjrGo+6vvmzIyj9JKRh7U9R/zMZzmx2X5vOoaIHD4VPUT6rwBYAWRBr3fUs3fmUdtWYSqUHGwHQ5nFNNMxwk4Rb/EJP6CFQtNRRCQIzM9byTWv3MWemmIjP7/i3c04K5sYe91Z3cead5XjKKgha+bJh3VbGSeNJe3YLBJGZJA2bRQTbjoPV52D1t2V3deM+MZ0jrnrUqb+9lukHz+amiW7SZkyHFtUFDWL85h820VkzphI6ex1R3W/vHFRlFw+Cl9c9FHdjgwwGw9Y5Ow3HUNEDp+KHiL9dGC1x0dAPTC8z8k5eYtNZJIvlssUVtL/T/mkf1rYxydcRwnzTEcREUM63E5yFjzNHz94PODbWT5VPncTLXnlTPrZhcRl9DRbbsuvxlXvYNfd77L992+y/fdvAlDy8moKnuz/wszYtERiByXRWdf6ueedNS00bSlh+Den01ZYQ/LEocSkJJBx4lg6yhu7t90cLgvYf+lIOjPjD3mtBJDHV4PN9nfTMUTkyGh6i8hhsHLt5baZ2R8D1wA1gA+ABflFXDa1gDHpk0zmk77+w8mMopUJtJiOEla8ONnEn6llPSfxB013EYkg+XWl3DnvEQrqzUzKsiyLirmbad55oOCR2bfJ59ALjyVzxsQ+x/Y++BFZM08ibVpWv3+Op60Td1M7sakJn5uh/K2NjPz2SUTHx2L5LCxv18uBT//Esg7znnWpOWswrZNSj+h7xY+ibL+zyGkzHUNEjoxWeogcvsVABV3bXHrM2r74SF/kiH+4iOGfzKBZjU39Yj/zWMJ1NGE3HUVEAuCd7Uu4btYfjRU8ACre3UTj5hLGXncmUfExuFs6cLd04HN7gK4VGgkjMvp8AcRmJPUpkNj/+QHNO7ruh7fTTcW8rbQV1+FqaMNRUEPxCyuISY4nbfrogzI0rCskJiWe9OO6VhMmjx+Co6CGtpI6apfvJX54GtGJh/+80zwpheqzhxz294mfub2bibK9YjqGiBw5rfQQOUxWrr3eNjP7I+BHQBXQ9UprTVkV+xp2MnXwdJP5pK8akvk7Z5LDSuIPLMyRgeOgmKVcz7H8jCncSJSeVkTCTl1bE39d+AxLCzaZjkL9mgIACp/6pM/x0VefQebpE/p9O521rd1bUGxRNpxVzTRuKsbndBOTmkDKpGGMvf5sohNi+3yfu9VJzZI8Jv/8a93HksYOZuh52RQ/v4KYlHjGXDPjsO+XGpcGsdjoX1jk6FMtkRBms/TJtMhhs83MTgVygCFAUfeJaUMHce9FPyc6St3HgszZlHM7G7S8zY8GMZ1T+QtpaJeXSLiYn7eSvy95gRanVvb7izspmvzrxuHO0KrEoOPxzbFi7rnadAwROTp6/S9yBKxceyvwIZAEvfZO5NU2sq58lalc8sVWM4rXNNHFrxrZyRKuxc4L+A4sgBKR0FTX1sTtcx/kjx88roKHH3ljbRRfOVoFj2DkszqJifqt6RgicvRU9BA5cisBOzCuz9HH16+gtbPJSCL5Uu8ylcWf+c8lA8uHm108wjJ+qNG2IiHqw92ruPKFO1iSv8F0lLBm2WD/t0fRMSLRdBT5fP+yyCk1HUJEjp6KHiJHyMq1O4EP6OqN0zO+wuHy8M7uBaZyyZd7mhPZxlDTMcLep6s+9vIiFl7TcUSkH+rbmvjNew9y1/zHaHY6TMcJe+VfG0HrpJRDXyiB5/FVE6URtSLhQkUPkaOzHtgC9O2e9vZuO8VNe40kki/lI4oHOINSNBLQ33y42MnDLNWqD5Ggt2DPaq588Xd8vE+rOwKh+szBNJyYYTqGfBGNqBUJKyp6iBwFK9fuAd4BHPCZ5QNPbPgQj0+NDYJQO7Hcy5k0Em86SkRoZAcfczW7eAwPHabjiEgvJQ2V3PrWffz+/Udp6mg1HSciNExLo/pcrTgMWm7vJqJss0zHEJGBo+ktIgPANjP7OuAqYBf0Wsv/u7PP5yvjLjAUSw5hIk38hZUkqelmwCQyghO4g1F87dAXi4jfdLidPLN2Li9tmIfHpy1ogdI6LomiK8dAtEbTBrGzLHLWmg4hIgNHKz1EBsYHdI2u/WxT05W0dDYYSSSHVEgG/2AGLj0UBkwHVazjDlZyK60Um44jEpEW713H5c//lufWzVXBI4A6hsZTMnOUCh7BzON7UwUPkfCjV/oiA8DKtTcB7wHxQHL3iQ6Plzd3fWgqlxzaTobyb07Hi16EBlINa1jMVezkUW15EQmQT7ey/Db3Iapa603HiSiu1BiKrhyNLz7adBT5Ij7LSUzUHaZjiMjAU9FDZOCsBjby2aamufZ8Chv3GEkk/bKBkTzJSfhMB4kwFh728jyLuJxyFpmOIxK2OtxOHl0xmytfvIPVxdtNx4k43vgoiq4cgyc11nQU+TKWdZ9G1IqEJ/X0EBlAtpnZk4A/Ap1ATfeJKZnp/OPrPycmSq94gthl5PNDdpqOEbGGMoPjuZ0MjjEdRSQseH0+Pty9isdWztbKDkO8sTaKrhpD+6ikQ18s5ri8duKij7fIcZuOIiIDT0UPkQFmm5l9DXANkAe9OmTefua5XDjhq6ZySf9cRx7fRdOGTRrNt5jGz0lhjOkoIiFreeFmHl0+m311+01HiVi+GBtFV46mbWzyoS8WcyzLwmfNsKLv0bxmkTCloofIALPNzE4D/h+QBeR3n4iLjuLZmbeSkTDEVDbpn1vYyjfVZNMoGzFM4Lscw80koH8yIv21tXwvj6x4jc1l2lVpki8KSr4zmtZJKaajyKE4XE9ZKffdajqGiPiPih4ifmCbmX0O8EugDHB0n7h48gRuPf0GU7mkf2xY/JqNnEu56SgRL5oEpvADpnADsaSajiMStArqSnl0xWyWFmwyHSXiWTbY/+0smrPTTEeRQ3F6qkiImWSR02467wN9jAAAIABJREFUioj4j4oeIn5gm5kdDfwKOBs+0yTiwW9cxZTBx5nIJf0XhY/b2cjZVJiOIkAcGWRzExP5H6KJNx1HJGhUttTx5Oo5zNu1HJ9e0xln2aD0WyNpOi7ddBTpjw73xVbivQtMxxAR/1LRQ8RPbDOzx9O1zcUDVHWfGJ+RygPf+AVx0XGGokk/qfARfBIZyTH8hLFcpuKHRLTq1npe2vA+c7YtxuVV78VgYAFl3xxB4/EZpqNIf7R2vm2l3n+V6Rgi4n8qeoj4kW1m9lXAdXy2qekvzziTr0/6pqlc0n9R+PgNGzlLhY+gksAQJvMDJnAVsahJoESOkoZKXlify7y85Xh8XtNx5AALKP/GCBpOUMEjJLi8zcRFT7TIaTAdRUT8T0UPET+yzcxOBf4EjKZ3U9Mom42nvv0jRqRoPEUIiMLHb9nAmVSajiKfEUsqk7iWSXyPeDJNxxHxm93VRTy3bi6L967HQq/dgokFlH9tOA0nDTIdRfrL4fqBlXLfLNMxRCQwVPQQ8TPbzOwz6ervUQG0dp84bmgmf73oZ8RExZrKJv2nwkdwiyaB8VzJFG4giRGm44gMmA2leTy/bi6ri7ebjiJfoPyrw6k/WQWPkOFwfWKl3HeR6RgiEjgqeoj4mW1mdhRdk1zOo6upac8/uttOP4NvTb7YUDQ5TNH4+I0KH0HNRgxjuZSp/JBUJpiOI3JEfJaPFYVbeHbtXLZX7jMdR76ABVRcNIz6U7TKLGR4fB34rClW3F81nk0kgqjoIRIAtpnZY4A/AnFAac8J4IlLb2BUmt6dhQgVPkLHcM5hEt9jOGdjI8p0HJFDcnS2k7trGbO3LKSkUY8xwcyyHWhaOl09PEJKa+ftVur9D5uOISKBpaKHSIDYZmZ/HbgZKAHauk9MHZzOfV+9TdNcQkcUPn7BZs6nzHQU6YdkxjCRaxjHd4gj1XQckYMU1pcze8tHzNu1nHa303QcOQRftI39386iZYoeT0JKm2sLyXGnWuTozY9IhFHRQyRAbDOzY+ja5vIVYAe9t7ncdMopzMy+zFA0OSIWN7GdiykyHUT6KZoExnAxE7iKQRxnOo5EOLfXw5L8Dby1dTHrS3eZjiP95I21UXL5aBzjNDUqpHh9HiymWzH32E1HEZHAU9FDJIBsM7Oz6NrmkgIU9zn52MXfZ1zGZAOx5Ch8jzyuYq/pGHKYMjiWCfwPY/gWMSSZjiMRpKypmre3L2HuzqU0tDebjiOHwZMQRfGVY2jPSjQdRQ5XS+ffrLT7/2w6hoiYoaKHSIDZZmZfCPyMrt4eju4T4zNS+dfXbyM+JsFUNjkyl5HPDexU14gQFEMSWXyVMVzCUE4nihjTkSQMtTjbWLx3HR/sXsnG0t0aORuC3MnRFF01BudQPUWHnA53AYmxx1jkeExHEREzVPQQCTDbzOxo4DbgQrqmufi6T95w4glcNe0KQ9HkKFxICbeylWi9mQlZCQxhNN9iDJcwiGmm40iIc3ncrCzawvt5K1leuBm3V++3QpUrLZbCq8fgylDrrZDj9XlweWdYifduNh1FRMxR0UPEANvM7OF0bXMZBBT2Ofnwt65h4qBjTOSSozODCn7NRuJ61bEkNKUygTFcwhguIZlRpuNIiPBZPraU2Zm/eyUL7Wtp7Ww79DdJUHMOjqPwf8bgSYk1HUWORF37/1lD/nmP6RgiYpaKHiKG2GZmf4WuFR+VQEv3idFpyfz7m7eREKNGAyHoBGq4k/UkYu5T3V3LHbz3r1oKN7XTWOnhznfHM+Py9O7zHQ4vs+6qZP3cFhz1HoaOj+OS/x3Ct24d8oW36XFbvHN/NUtfaqSh3E1Wdjw/+MdITv5WWvc1y19tZNZdlXS2+bjoJ5nc+K+s7nM1xS7u+UYB/9w4laS0aP/ccT/J5CTGcgkjuYBEhpmOI0Eor6qQRXvX8eGeVVS21JmOIwOkfUQCRd8dgzcxtB6z5ICGjg1kJs7QtBYR0eZlEXNWAdOBr9N7m0tZSxtv573P90+42mA2OULbGcafOZc/spZMzIye7GzzMf7EBC760SD+9d2Sg86/eHsFOz9x8KtZYxk2Po6tC1t55rYyMrNiOeM76Z9zi/D6/6tk+axGfvbMGEYdE8/Wj1r55xXF3Lt6MhNPTqKlzsOTN5XyixfHMHxiPPdeWsT0C1I49dKuosh/by3j+r+PDLmCB0ADW2lgK1u5jwymMZLzGckFZJBtOpoY0ulxsX7/LpYVbGZZwSZqHA2mI8kAc4xJoviKUfjiQu8xSwCnx4HDdYWV+Q8VPERERQ8RU6xcu882M3sOMAWYCOR3n3xj125OH7WTqYOnm8onR66IDP7AefyRtYzrtYgnUE65OI1TLv50BcbBRQ/7mnYuuDGT6RekAPCNWwaz6Ol6Cja2f2HRY9krjXz3T8M59ZKu2/3WrV2Fj3kP1vKrWeOoLnSRlB7NOdcMAmD6hcmU5jk59dI0VrzWSEycjTOvzBj4OxtgTeTRRB67eZJERhwogJzPEE4jGu33D2cN7c2sKNzCsoJNrC7eToe703Qk8ZOG6emUfX0ERNtMR5EjYVlQ0nSblf14uekoIhIcVPQQMcjKtdcdKHz8EsgAmrpP/nPVfB69eDxJsSmm8smRqyOJP/EV7mA9J1FrOk4fx56bzIbcZi76cSaZWTHsXNpGxd5OfvxI1hd+j7vTIjah7xuAuMQodq/s6lkwckocne0+Cre0M3RcHPkbOrjox5m0NniYfXcVf/lkkl/vkwkdVFHIGxTyBjEkMYyzGcn5DGOGtsGEAZ/lY19tKauKtrKsYBPbKvZp6kqYs4CqrwyldsZg01HkaJS3zrGyH3/FdAwRCR4qeoiYtxY4DrgUaAW8ANS0OZm9M5cfn3ydwWxyFDqI5V7O4qds42ufs+LClB8/msVTN5dxy+g8omPAFmXj1mdHc+y5X1xfO+mbqcz7dy3TzkthxKQ4dnzsYMN7zfi6fltJGRTDL18ay2M3lOLq8HHBDYM4+Ztp/OfH+7n4l0OoLnLx95lFeNxwTc5wzroq9Fd99OahnQoWU8FiAFIYx1BOYwinMYRTVQQJAT7LR35dKRtL8w587abZ6Tj0N0pY8MXY2H9JFi1TU01HkaPR7CylzXWD6RgiElxU9BAxzMq1W7aZ2W8DU+na5rKv++TcPfs4LWsTJww/1VQ+OTo+oniSk6kmie+xmyjTgYAPHq1j79p27sodz9BxceQtb+OZ28oZNDKWE7/2+S/4f/zIKJ68uZRfHbMHbDBiUjwX/SiTJS/09DKYcUU6M67o2R6zc6mDkh1Obnp8ND+fvJvbXx9HxogY7jpjH9POSyZ9WPhOQ3BQgoMSingb6F0EOZ2hnEoCQw0nFJ/lo6CujA2lu1TkiHDu5BiKrxhFx4hE01HkaHh8Hspbv2tN+4+ZhloiErRU9BAJAlauvdE2M/tN4NdAJtDzTvK+FQt44tIxZCbqo+IQ9g7ZVJPML9hsdKRtZ4eP1/5YxZ3vju9uMjr+hESKt3aQ+0DtFxY90ofGcNfcCbicPlrrvWRmxTDrrkqGTfj8PhbuTh/P3FbGr2aNpTK/E68Hjju/ayXJyKnx7F3XzumXfX7/kHB0cBFkPIM5iUFMI4NjSWcK0SQYThneGtpb2FNdRF51EbuqCthcvoemjlbTscSwjmHxFF8xGndq+BZhI0ZJ073WtP9sMB1DRIKPih4iwWMTsBiYSdcI266Zp+1uDw+vncOfz7uF2Gi9KgthqxhNPYncyTrScRnJ4HVbeNwWts8sOYmKBst36H4FcQlRDB4VhcdtsfbtZs6++vO3qcz5azUnX5zGxFOSKNzSjs/Tc9tet9W9LSZSOSjGQTElzAXARjRpTCKDY8lgGoM4lnSmqhByhBram8mrLiKvqpDd1UXkVRdS1VpvOpYEmZZJKey/NAtfXDCswZOjUtO21pr0aI7pGCISnFT0EAkSB7a5vAtkA5OBPd0nt1bVMW/vfK489nJT+WRg7GEwv+cC7mQdE2n2y8/ocHipyu8pqtQUuSja2kFKZjRDx8Zx3PnJvPy7SuISoxg6LpZdy9pY9nIjN/67p5HpozfsJ3NULNffPxKAvevaaCh3M/6kRBrK3byZU43PB5ffefACpP27nKx6o4kHt04FYNQxCdiiYPFz9QwaEUv5nk4mn57kl/seqiy8NLOXZvZSwntAVyEklYlkcCypTCCVcaQwjmRGE0284cTBobnDQUljZfdXfl0pedVFVKvAIYdQe+ogKi8YBjZNaAl57e5m6tuvUOskEfkiNstSJ3KRYGKbmT0d+A3gBir7nPz71y5n2tATTeSSgRWHl1vZwnmUDfht71zq4P8uLDjo+AU3DuKXL46lscrNq3+oZNvCVhwNXoaMi+PrtwzmstuHYDvwBuDuC/IZOj6OX744FoBdyxz899YyqgtdJKREccolaVz/95FkZvVdfGRZFn86N58r/zCc076d1n184/stPPPzMjydFt/72wi+dpOmIxw5G0mMJOVAEeTTYkgK40hiBDaiTQccUB3uTsqaqvsUN4obuv7U9hQ5XFYUlH91BA0nhlcz5Yjlsyz21l9tHfP4W6ajiEjwUtFDJAjZZmZfBtwAFANt3SfS4mN5/JJbyEgYYiiaDLDLyOcH7CJaozBlQESRwGASGEICQw98DSGBIST2+ns8mURhdrdch9tJraOJWkcjdW1N1LYd+NPR2OdYi7Pt0Dcm0g+exGj2fzsLx7hk01FkoOxvfsUa+5CmtYjIl1LRQyQI2WZmxwK3AecBeXw6xhbg9Kxh/OErNxMTpe1pYeJ4avkNG0gz1OdDIpGNGJJ6fSV/zt8Tu/+0EY2NKMCGjShsRGFhAT4sLCx8gA8fbhZsSsXZ1E6720mbq4N2dyftro6u/+3qpN3dQbvLidOj33cJnLaRCeyfOUoNS8NJY0cRra5sa+xDbtNRRCS4qeghEqRsM7OHAHcBWcDePidvOuUUulaDSJgYSht3st5vfT5EAuXul6cTXeMxHUOkW90pg6g4fxhEq39H2HB7XRQ0nm4d8/h201FEJPipXbVIkLJy7XXAK4ALGN7n5LObN7O7Vk/0YaSWZP7EV1jBaNNRRI6KLbxaikgI88ZFUfLtLCouGq6CR7gparpLBQ8R6S8VPUSCmJVr3wbMBYYCfcdd/G35+zR01JjIJf7hIoaHOY1nOR63Hp4lRKnoIcGgY0g8+dePo/mYtENfLKGlsPFda+pjD5mOISKhQ6+qRYLfB8AausbY9vybbXW5+feaN3F5O00FE//4kEn8kfOoRM32JPTY1G1IDGuclkb+98fRmanRzmGnyrGPxYXXmo4hIqFFRQ+RIGfl2l3ALKCIrsJHj+3V9czZ9Z6JXOJfhWTwOy5gJaNMRxE5LFrpIab4om2UfX04pZdkYcXqJW7YaelsYWnxZdYt89QFWUQOi54RREKAlWuvpqu/Rycwos/JN3btZmPFGhO5xL86iOUhTucpTqRTD9cSIqJV9BADXGmxFHxvHA0nDjIdRfzB7fXySdEt1rVv2U1HEZHQo1fRIiHCyrVvBd4BBgMpfU7ev2Ixla37TeQS/1vEBO7ifMo+859dJBhFxWgqnARW86QU9t0wno4RCaajiL+sKXvQ+s7sN0zHEJHQpKKHSGj5EFgGTAR6ds67fT7uX/kWHe42U8HEv/aTzp1cwCeMMR1F5EtFaaWHBIg3NorSb46g5IrReBP0ixe2dtYs5IHVfzQdQ0RCl4oeIiHEyrV7gFeBPcDUPieLm1p5dvMcvD6fiWzif53E8Din8gin0oa6RUpwitZKDwmAtlGJ7LtxPI3HZ5iOIv5U3lLAi1uvsnLtXtNRRCR0qeghEmKsXHsj8CLQBIztc3JRYQnz9r5vIJYE0HLG8Gu+yjaGmo4icpDoaBU9xH980TYqvzKUgmvH4sqIMx1H/Kmls4UP879jPbC61XQUEQltKnqIhCAr174XeANIAvp+zPX8li1sKF9tIpcETgOJ3MPZPMsJONGybgkeWukh/tIxJJ7874+jdsZgsNlMxxF/cnu9LCm6xbopd5fpKCIS+lT0EAldnwAL6Vrt0bd7270rFlPUqA7nYc/Gh0zkDi5kL5pYIMEhJlo77GRgWTaoPS2T/OvH4RymZqURYXXpA9blalwqIgNDRQ+REGXl2n10rfZYT1d/j56P+32WxZ8/eZv69ipD8SSAKknhT5zHaxyLG336KWbFaHuLDCBXWgyFV4+l8oJhWDF62RoRdtZ8xINr/mQ6hoiEDz17iIQwK9feBjwP7AWyodc73pZON/eueJ12t8NQPAkgHzbeJps/cD4lpJmOIxEsRttbZIA0HJfG3hsn0DYmyXQUCZSuxqX/o8alIjKQVPQQCXFWrr0GeBaoo2uUbY/8hhae2DAbj89jIpsEXhEZ3Mn5vMVUrfoQI2K10kOOkis1huLLR1F2cRa+ePUsihhqXCoifqKih0gYsHLt+cBLgA8Y2efk8pJy5uyai6U3IpHCQzSvM407uUC9PiTg1NNDjpRlg9pTB7H3RxNpmZxqOo4Ektvr4ePCm9S4VET8QUUPkfCxHniTrmkufSe6vL5zFyv3LzWQSQzaTzp/5DyeZzodmvAiARIbo6KHHL724QnkXz+eyguH44vTy9OI4rMsPim+z7rijTmmo4hIeNKzikiYsHLtFvDhga8xQGKfC/61ehn2uh0GoolBFjbmM5lf81U2Mtx0HIkAcVrpIYfBGxdF+YXDyP/+ODqGazJLRFpWPIvH199jOoaIhC8VPUTCyIGJLrOB1cAUIKbPBXd/8h7VjjID0cSwOpK4n7P4J2dQj95YiP/Equgh/dQ8JQX7jyZQf2omRKkHUURaV7aMh9beqsalIuJPKnqIhBkr1+4EXgB28tmJLh0eL39ZNhuHq9lQPDFsHVn8L19lPhPxqtGp+EG8trfIIXzaqLTkO6PxpMaajiOm7KjO494V1x2YRCci4jcqeoiEISvX3gA8B1TQteKjR1lLGw+teQ2X12Uim5jnJJbnOYHfciHbGWI6joSZuGh9YCufT41KpVth437+tfpqK9deYTqKiIQ/FT1EwpSVay+ha8VHBzC6z8kNFTXM2v4WPo10iWSlpPEXzuWfnEE1SabjSJiIi1HRQw7mGJ3IPjUqFYDK1noeXXe99fI2TWoRkYDQs45IGLNy7VuB14EkYHCfk3P37GNRwUcmcklwWUcWv+KrvMaxODXlRY5Sgnp6SC+dg+IovnwUhdeOw6lGpdLY4eDJjT+1Hl67wnQUEYkcMYe+RERC3MfAUOC7QCfg6D7z/9u77/A4qzPv499nmnqXLEtusjEedxuDC2AwEAgQYEiogSSU1N0kbzbZd/tms0kgZFNIIL2RTUghCS3MGxISmgu2MW64e1xlSS7qvWvmef84Y2RZkqs0z4z0+1zXXDPSnDG3sDya+emc+/7++nVkJaezZPxSh2qTONGNm2fx8zoTuY8dXIH63cq5SdJODwF6UtxUXppH7bwccKt/kABt3Z38bNO/8vax55wuRURGF+30EBnhoqNsnwWWA1MAX58Fj6x6lS3HNsS+MolHdaTwGJfwn1zBfrKcLkcSULJ6eoxqEbdF9SW57P7IFGoX5CrwEKMrHOZXW77GqrIfR1+XiIjEjGXrSL/IqGAF/JnAZ4F5wE6g952JBXz9utvw589xpjqJTzZLqeAedjGWNqeLkQRxrC2ZH/+gxOkyxAEN0zI4dmUBXdm+0y+W0SNi2/x++495avtn7WCo0+lyRGT0UeghMopYAX8xJviYjAk+ep8AvC4Xj15/NyXZ0xwqT+KUmwjXUcodhMhBr1fl1Bq6vDz+nQucLkNiqLUomaNXjaFtnBoiywD+vPd5frThPjsYajn9YhGRoafQQ2SUsQL+KcBngCJgNycGH6leD9+6/oMUZ0xyqDyJY0n0cDP7uZW9pNHjdDkSpzrCFl/7tt/pMiQGujK9HLuigIbpGWDpGIsMYHXZSr62+jY7GKp1uhQRGb0UeoiMQlbAPx34NJAL7OlzZ06yj2+++34K0oqdqE3iXzpd3E6IGziID03qkP6++M3p6C3wyNWV6aVqSR51s7LUs0MGt7VyO59/7UY7GFJnbBFxlEIPkVHKCvjnAZ8CUoD9fe4cm57C1659kJyUAidqk8SQRxt3s5tllONBP0uk138/NgNXj74nRprOLC/VixV2yBnYX3eIL614j/3klp1OlyIiotBDZBSzAv7FwCeiH5b1uXNydgYPX/NhMpKyY16YJJRCWnkfe7iKcrza+SHAF747E3envhdGis4ss7OjflYWuBR2yGkcajjG11ffYX9//WqnSxERAYUeIqOeFfAvAz4CdAKH+9w5syCHLyz7MKnedCdqk8SSRxvvZS/v4hBJCj9GtS/8YCbuNn0PJDqFHXLWDjVU8dU3HrB/tOEvTpciInKcy+kCRMRxK4HfAGlAYZ97dlbX8+iaX9HZ0+FEYZJYaknlCebxSd7NC0ylHbfTJYlDbI/eICeyzmwv5dePJfSRKdTPyVbgIWemrLGGr6z6DEeaX3K6FBGRE2mnh4hgBfwWEADuAaqBvl3Wl00az2cW34fX7XWgPElQ6XRxC/u4kQOa9jLK/NcTs/HU6+880XTmeKlapJ0dcg7KGmv58or/oKr1CTsYCjtdjojIiRR6iAgAVsDvAu4EbgeOAA19Frznwil8bMG9uF369b2clVS6eTcHuZGD5NPudDkSA1/45Wzc1Qo9EkXzxFRqLs6leUqaRs/K2StvrOPLK/6Lytaf2sFQt9PliIicTKGHiLzDCvg9wAeBW4BSoLnPgjtnTucDc+/CpVfFcvZcRLiMI9zMPi48KVOTkeULv56N+5hCj3gWcVs0zMik5uIcOgqSnS5HEtXhpnq+tOILHGv5iR0MdTldjojIQBR6iEgfVsDvAx4Ergf2AW19Ftw3by63zXivgg85H35quYX9LOIobo27HXH++3ezcVUo9IhH3aluaufnUDsvm3Cax+lyJJEdaW7goRVf5HDzDxV4iEg80087EenDDoa6rID/SSAZWAbsAXobmT65ZSs9kTB3zboNl6VmyHJOQuQRIo8CWrmJA1zDIfX9GEF0CC7+tBckUXNxDg3TM7E9euqW83S0uZGHV36Zw80/UuAhIvFOOz1EZEBWwJ8OfBK4FNgF9H1Rc8fM6Xxgzh3q8SFDIZlurqGM6yhl4kmnqiTxfPm52dgHFGI5zQaaL0in+uIcWiemOV2OjBTHWhp5aMVDlDd9zw6GOp0uR0TkdBR6iMigrIA/G/g0cBEQ4uTgI+CfygPz78bj0q4xGTJ+armOUi7jCEloCEAieviF2YT3KvRwSleGh/pZWdTPzqIr2+d0OTKSVLY08dDKhyhr/J4dDGmcvYgkBIUeInJKVsCfj9nxMR8TfPT9rc4NUyfzsQX3aJytDLVUulhGBddSSglNTpcjZ+GRF2fRvUuBVSxF3BZNF6RTNyeLlhJNYZFhUNXaxEMrHuFQ4+MKPEQkkSj0EJHTsgL+XODvgUswwUffFzvXTJ7AJxd+AJ87yYHyZBS4kLro7o/DpGj3R9z7n5dm0bldf0+x0F6QRN3sLBpmZhFO0WlDGSbVrc08vPKrHGx4zA6GNHtcRBKKQg8ROSPRoy4fB5YAe4G+L3qumFjMZxZ/iCSPZh/KsEmhm8s4zBVUMJMa9BYvPn3j5Zm0bYk4XcaI1ZPkomF6JvVzsmgfm+J0OTLS1bS18PDKr3Kg/tsKPEQkESn0EJEzZgX8mcDHgMsZaJzt4nGF/N/L7iPZk+pAeTLK5NLOUiq4ggqm0Oh0OXKCb70+g+aNen0xlGwLWiakUj8ni8YLMzSBRWKjurWZr77xDfbVPWoHQ22nf4CISPxR6CEiZ8UK+NOAj2LG2R4AWvosWFBUwL9cfh+p3nQHypNRahzNXEk5V1BBIXpd7rTHV06n4S2nq0h8tgWt41NpnJZB47QMetLUM1pi6HBTA19Z9U0qmh6zg6FWp8sRETlXCj1E5KxZAX8q8CBwDVAKJ80YnVWQy39eeT/pvszYVyejnZ9arqCCxRwlF/Xac8L31/ipWaNGmufi+I6ORn8GjVMzCCvoECccqK/moRXforb9uwo8RCTRKfQQkXNiBfzJwP3Au4EyOOl8gT8vm/9adh+ZSTkOlCcC2FxIPYs5yiKOMu6kTUkyfH68bhrHVun4xZmyXdAyMc3s6JiaTjhVQYc4aEfVUR5a+Rht3T+wgyE9cYpIwlPoISLnzAr4fcCHgBuBCqChz4LJ2Rl86er7yU7Oc6A8kT7G0cwijrKYI1xAA3pLPnye2HghFa+rzeypRI4HHf4MmqZmaPKKxIcNR8p4ZNVj9ER+ZgdDzad/gIhI/FPoISLnxQr4vcC9wM3AUaCuz4IJmWk8dM195KaMcaA8kQHl0s4ijrKQo8ygliQ0aWQo/fLtCyh9xet0GXGnK9NDc0k6zZPTaJmYSiRJQYfEkZWH9vHomkex+aWmtIjISKLQQ0TOmxXwe4C7gPcCVUBNnwVj01P4yjUfpCCt2IHyRE7JR5iZ1DCfKuZRxUT0y83z9Zttk9n31ySny3BcxGPRMiHVhBwlaXTm6v+JxKk/793OjzY8CvzWDoa6nC5HRGQoKfQQkSFhBfxu4PbopRYTfvTK8Hl5+JrbmZzjd6A8kTOWQ3s0AKlmLlVkodf/Z+vpXSXsfDHZ6TIc0V6QRHOJCTlax6VotKzEt4ht8/vtG3lq+zeBZ+1gqMfpkkREhppCDxEZMlbA78Ls9rgT09j0WJ8FLsviC8uuZ0HRYgfKEzkHNlNoZC5VzKAWP3Vk0O10UXHvj3smsCWY5nQZMdGV6aV1XAotk1JpLkmjJ13HeiRBdIfD/HTTal7a9yjwJzsY0jk/ERmRFHqIyJCyAn4L09/jHqAVONy2xLAMAAAgAElEQVRv0acWLua6C67HZWmmpSQYmwk0M4NaplPLDGoZg46+n+zF/ePY8HyG02UMuYjbon1MEm3FKbSOS6GtOJWedE1akQTU3t3Jt998jTcrvg28YgdDekMgIiOWQg8RGXLR4OM6TPDhAQ4AfZ9s7pw5nXvm3I7HpXcMktByaWdGNADxU8cEmvAyun+2vnKomNVPZzpdxnnrTnXTVpzyTsjRXpis4yqS+Bo7Wnlk1V/YVfO4HQy94XQ5IiLDTaGHiAwbK+BfBDwA5AEhOGlExpWTxvGphfeQ4h0d++BlVPAQZhJNTKGRyTQwhQYm0jSqJsSsrCjk9d/lOF3GWelJctFRkERHfhJtRSm0jUuhK9vndFkiQ+tYSyMPrXiO8qbv2MHQ206XIyISCwo9RGRYWQH/NODjwGRgN5zUEGFGfg7/fsUHyE7Oc6A8kZhwEWECzUyJhiAlNDGBphHbH2Td0Xxe+k2+02UMKOK26Mz1vRNwdOQn0VGQRHeGenHICHegvpovr/gdde3ftYOhvU6XIyISKwo9RGTYWQF/MfAxYB6wD2jrs2BMWjIPXf1+ijImOVCeiGMy6WQczYynhXE0Ry8tFNBGIh+ieLs6lxd+OcbRGmzLNBntzE+iPRpsdOQn0ZnrA5faCckos/FIGV9f/Wvae35gB0P9e22JiIxgCj1EJCasgD8beBBYCpRhprv0Sva4eejqW/Hnz3GgPJG44iNMMc0U08IY2iignQLaopd2UojvqZI767J4+udFw/rfsC3oTvPQneWlK8tLV2b0Onq7O9OrcEMkYtu8sHsH//v2b4Cf2sFQrdMliYjEmkIPEYkZK+BPBu4FbgBqgKq+C4B/W3oNl064IvbViSSOdLrIPykMyaaTTDrJpIus6LXXoT4iB5rS+dVPxp/TY20gnOQinOKmJ8UdvfbQk+7pE2x0Z3qx3Qo1RAbV2dPFDzes57WDvwN+YQdDLU6XJCLiBIUeIhJTVsDvBm4Fbgc6Mbs++vroggXcPO0mXFYi7/AXcVwK3e8EIJl0kkUnaXSTTA/JhKPXPSS9c7vv51zYWICF3e+2K3rbwiaCix5c9GDRg4sjbSn85qkJRDwuIh6LiNeF7bHMx14X4WRXNNDwnBBs9F5rh4bIeaprb+QrK9eyt+73wFN2MNTpdEkiIk5R6CEiMRcdabsM+CCQCuzl5JG2N0+7gAfm34XPrfEJIiIiZ2pf3VEeWrGc+o6ngD/bwVDY6ZJERJyk0ENEHGMF/POBDwNFmMkufV+YLRpXyOeW3EuaL9OB8kRERBLLykN7+fbalwnbvwA22MGQXuiLyKin0ENEHGUF/FOAjwLTgRDmyEuv8ZlpfP7KOyjOKIl9dSIiIgkgHAnz661beHbXX4An7GDooNMliYjEC4UeIuI4K+AfgxlpewmwH+jbbM3jsvj3pdeycNxlDpQnIiISv9q623h0zVusPxIEfmkHQ3VOlyQiEk8UeohIXLAC/gzgfuBq4DDQ/0Xb3bNmcOes96rPh4iICHCspZaHVqymvOn3wLNqWCoi0p9CDxGJG1bA7wPuBG7CHHM51G/RRWPz+dyld5OdnB/j8kREROLHtsoyHln1Gq3dvwZeU/8OEZGBKfQQkbhywmSX9wO5wB6gp8+irCQf/33VrUzNnRn7CkVERBxk2/DnvTv58ca/Av9rB0PbnC5JRCSeKfQQkbhkBfwXYo67zGKgPh8An1l8KddMvg6XZcW4PBERkdjrCnfz040b+ev+F4Gf28HQEadLEhGJdwo9RCRuWQF/DvBB4EqgBqjst+j6C0r48EV3kOJNi3F5IiIisVPTVsc3Vm9gV83zwG/sYKjZ6ZJERBKBQg8RiWtWwO/F9Ph4H+DG7Pro+8Q1OTuD/7jiLgrTx8e+QhERkWG24chevrF6A+09zwBBOxjqOe1jREQEUOghIgkg2ufjYsyujwmYPh99O9T73C4+f+UNzB+7MPYVioiIDIOucCdPbtlMMPQ28CTwphqWioicHYUeIpIwrIB/PPAAsAAoAxr6Lbpv3lzeO/1mPC5vbKsTEREZQpUtx3hk1TYONmzA9O/Y53RJIiKJSKGHiCQUK+BPA+4G3g20AuX9Fi0aV8hnFt9NZlJOjMsTERE5P7YNa8q38a21IbojK4Df2sFQndNliYgkKoUeIpJwrIDfBVyDCT8yMcddwn0W5acm859XBLggd0bsKxQRETkHHT3t/GTjRl45EAKeAV5R/w4RkfOj0ENEEpYV8M/AjLWdBuwD2votenD+fG6adiM+ty/G5YmIiJy5iqbDPLxyK0eaNwG/soOhkNMliYiMBAo9RCShWQF/HnAfcDlmpG11v0XT87P5x0tvY2z6hBiXJyIicmoR2+bVA1v4wfo9hO1Xgd/bwVCj02WJiIwUCj1EJOFZAb8PuBUIAC7MWNtIn0Uel8U/LF7K0olX4Xa5Yl+liIjISVq7WvjeWxtZXb4LeBpYbgdDkdM9TEREzpxCDxEZEaJjbRcC9wCTgANAS7+Fl08o4hOX3E52cl5sKxQRETnBgfpSHl65g5q29cCTdjB00OmSRERGIoUeIjKiWAF/AfB+YCm90136PtFl+Lz88+XXMX/swthXKCIio1o4EuHFvZt5YtMebP4KPGMHQ61OlyUiMlIp9BCREccK+N3A1cDtQAGmyWlHv4UB/1TunXMrqd702FYoIiKjUn17LY+9uYXNx3YCvwPW2MGQXoyLiAwjhR4iMmJZAf8k4F7gEqAK0+i0r6L0VP516S1MyZke4/JERGS0iNgR3ijbzHfXldMZfgsznaXC6bJEREYDhR4iMqJZAX8y8B7gFiAV2Av09Fv4kYsu4j0X3oBXo21FRGQI1bVX8fibG9l8rBZ4EXjBDobanS5LRGS0UOghIqOCFfDPwuz6mAmUAfX9Fs0syOFzS26jMH18jMsTEZGRJhyJ8EbZOr77ViVd4VLgt8AGHWcREYkthR4iMmpYAX8mps/HdZiRtgcYaLTt55ZcyeUTr8RlabStiIicvZq2Yzz25nq2VrYBbwBP28FQ/yOWIiIy7BR6iMioEh1tuxi4G5gIHGSw0bYfWRAgP3VsbCsUEZGEFY6EWV66ju+vr6QnUgY8B6y2g6Gw06WJiIxWCj1EZFSyAv4xwD3A5UAzUMHJo209LotPLlzCsklX43V7Y1+liIgkjOrWI3xr7UZ2VLcCqzCjaKucLktEZLRT6CEio5YV8HuAa4DbgHwGG217YW4W/2fxeyjJnhbbCkVEJO6FI2FePbiWH66vJmwfAp4B1trBUOR0DxURkeGn0ENERj0r4J+MaXJ6EabB6RFO3vUBcPesGbxvxo2kejNiW6GIiMSlypbDfHPNJkK1LcAK4Fk7GKpxuiwREeml0ENEhHdG216LGW2bz2C9PnJTkvjskncxt/ASXJYV2ypFRCQu9ER6eHn/Wn68sZqIXYrZ3bFOuztEROKPQg8RkRNYAf8E4A5Ms9NuoBTo34DuyknjeHD+LeSlFsa0QBERcdaR5jIeXfM2e+tagOXAc3YwVOtwVSIiMgiFHiIiJ7ECfjdwKabXx2RMk9P+L2i9LpdpdFpyFR6XGp2KiIxkrV3NPL97NX/Y0Q7sB54G1tvBkF5Mi4jEMYUeIiKDsAL+XCCAaXaahHmR29VvoT8vm08vuolJ2VNjW6GIiAy7cCTMW4ff5DvrKmjt7gFeA563g6F6p0sTEZHTU+ghInIKVsBvAbMxR15mY3Z8HGWgRqf3zJ7FrdNvINWbHtMiRURkeJQ27OH7b71FqDYVM+HraWCjdneIiCQOhR4iImfACvhT6G10msdgjU7zUpL47JJrmVN4sRqdiogkqMaOOn6/43X+tCcCtAGvAv/PDoYaHK5MRETOkkIPEZGzYAX8E4HbgSVAJ3CIwRqdfmjuDRSmj49thSIics66w12sKnuDH6w/RlfYA2wGngf2aHeHiEhiUughInKWoo1OLwfeB5QA5UDdgIs/MGc2N027lnRfVswKFBGRsxeq2cbj6zZT0ZQBHABeANbawVCPw5WJiMh5UOghInKOoo1ObwWuBnyYF8n9G52m+zx84uJLuWzCUrxuX2yrFBGRU6ppO8Yv3l7OykNeoAH4K/A3OxhqdLgyEREZAgo9RETOQ7TR6RxMo9OZQBNmxG2k3+JJWen83SXvYkbBPPX7EBFxWEdPOy/vX84TmxuI2ADrgBfsYKjU2cJERGQoKfQQERkCVsCfCiwDbgKKMRNeqgdcfOn4sdw//waKMybFrkIREQEgYttsrdzA42/uprY9DdiNOcqywQ6G+gfWIiKS0BR6iIgMISvgLwBuwBx5ycQ0Om0ecPFtM6Zxq/9aclIKYlehiMgoVtqwh//dvJ7Nx1KAKuBF4DU7GGpzuDIRERkmCj1ERIaBFfBPxYy3XQhYmBG3/ft9eFwWD8y/iGunXE2qNz22VYqIjBKHmw7y222rWFWWjHkufgMI2sHQUYcrExGRYabQQ0RkmFgBvwu4GBN+zMTs+KhgoBG3GT4vH794CZdOuByfOymmhUrsfHE5fGlF388VpsGxf4LuMHz+NfjzPjhQD1lJcO0U+J9roThj8D+zuRP+63V4fjdUtcJFY+HxG2DhuN4131wD31hjbv/b5fC5S3vvW1cBn/wzvPVRcLuG7EsViQuVLRU8u+t1XtoXBtKBbcAfgW0aQSsiMjoo9BARGWZWwJ8MXAm8B5gA1ADHgP5PwMUZqXzi4mXMLbwEt0vvQEeaLy6HZ3bCK/f1fs5tQUEaNHbAHU/DxxbAvEKo74DPvgQ9Edjw8cH/zLufge1V8MObTDjy663w7Tdh5ydhXCZsq4TFP4M/3Qu2DTc/Bes/BrPHmKBl0c/gJzf3DUlEEl1tWyXB0Os8v7sJKMCMFv8TsNIOhjqdLU5ERGJJoYeISIxYAX8O8C7gOiAfOALUDrh4ZkEOD8y/iml5czTpZQT54nL44254++/ObP36wyaUOPRZmJjV//72bsj4KrzwfrhpWu/n5/8Ibp4GD18Df9gB31oLb37U3Lf4Z/BPl8Kds+CRVVDZAo/feN5fmkhcaOyo5c97l/O77dXYFGIaSr+C6dsx8POtiIiMaB6nCxARGS3sYKgeeMYK+Ndgmp1eARQBZZhRt712VtfzLy8/z6yCFXxw7lKm58/Tzo8RYm8dFD8KSR5YPA4eeRdMyRl4bWOn6QiTnTzw/T0RCNuQfNKP8xQvvFFmbs8ZA3tqoazR7PTYU2t2eeyrg1+8DRtPsYtEJFG0dDXy8v7lPLnlMGF7LOY17rPAK3YwVOlwdSIi4iDt9BARcYAV8FvABZgRt4swL9BLgfYBH+DPy+ZD85Yyq2A+bpc7VnXKEPvLXmjrhml5UNkKD6+E3TWw45OQl9p3bUcPLP05TM+HX982+J952RPgc8Nvbzf9QZ7aDvc9DxfmQejTZs2PNpgjLwCfWwJ/dwlc+yR8epEJTr64HLxu0wvkSk1SlgTS1t3CitJV/HzzfjrDxUAjsAp42Q6GKhyuTkRE4oBCDxERB0Wbnc7FhB9zMU1Oyxks/LggJ5P75l3OnMIFeFzarZfoWrvggu/Av1wO/3hCc9HuMNz5tNmdsfwByDxFb9v9dfDhIKw8ZPqDLCgyocqmo7DzUwM/5hdvwwsh+NFN4P+e6fFR0QQfeA4O/oPZhSISzzp72lldvpqfbdpNS1cR0AqsAf5mB0MHHa5ORETiiEIPEZE4YAX8XuAS4HpgOqbJaTnQNuADJmal88D8y5g/9hI8Lm/MCpWhd92vYGoO/PBm83F3GO56xkxwee2+/jtABtPaBU2dUJRhmpu2dMGL9/ZfV9MGi34KKx80wcjDK+Gtj5n7Cr5h/ptzCofmaxMZal3hLtYfXstPNm6lvmMs0AmsB14C9moii4iInEy/yhERiQN2MNQNrLUC/g3AAkz4MQPT0aEc81vMXmWNLXx5xd8ozniDB+dfxoKihXjdvljXLeepswd2VcMVE83HxwOPvbXw+v1nHngApPnMpb4d/roPvn7dwOs++5I54jI+0zRK7Y703ne8R4hIvGnrbubNinU8uWUHde1FmGbQbwF/AXYq7BARkcFop4eISByyAn4PcBHwbmA24MKEHy0DPqAwLYUH5i9h4bjF+NynOAshjvqnv8Et08wklqpWeHgVrCiFbX9vxsve/gez++JP90Bheu/jclNM3w6Adz0J75tu+nGACThswJ9nmpP+88vmeMobD5o+HSd6eT98/nVY+xFwWXC4CaZ+F567C8qb4D9ehfLPmUaoIvGgvr2a5aVr+O22PXSGJ0Q/uxWzs2OLHQxFTvFoERERhR4iIvHMCvjdwDxM+DEXs0OvHGge8AF5KUk8eNFiFo9bQpInJWaFypl5/zOm90ZNGxSkwZLx8NDVMLMAShtg8uMDP+71++GqEnO75DF4YD588Srz8R92wL+/anpy5KbA7TPgK9dA1kkTX9q7Yf6P4fd3wPyxvZ//2Sb4/GsmKPnBe/qOvhVxypHmUv6ydw3BUDk2EzDPfTsxOzs22cFQj7MFiohIolDoISKSAKINT+dgwo95QBIm/Gga8AE5yT7un7+QJeOXkOpNH3CNiEg8idg2++t28tyu1awubwbGY4747cWEHW9FjwKKiIicMYUeIiIJJBp+zASuw/T+SAYOAw0DPsDndnHXrFksm7SIwvTxMStURORMdYe72Va1iae2vUmo1gUUYRqU7gBeAzbbwVCXozWKiEjCUughIpKArIDfwjQ6vRYz9SUVE37UD/qgpROLuWXaIqblzcbtcg+6TkQkFtq7W3nr8Dp+vXUDla1ZQAFm99oGYDmwSz07RETkfCn0EBFJYNHwYxom/FgIZADHgBpMe8v+xmem8f7ZF3Nx0SWk+TJiVauICAANHTWsPLSW32zdQXvPGCAb85z1BrAKOKRpLCIiMlQUeoiIjADR8GMqcDUm/MgFGoGjwMBn4L0uF3fMnMFVJYsoypgYq1pFZJQ60nyIl/ev5bldpdiMB1KACuB1YK0dDFU5W6CIiIxECj1EREYYK+AvAhYBVwHjgB7gCIONuwW4dPxYAv7F+PNn43F5YlGniIwCHT1tbKt8m2BoE1sqO+ltTrof069jnR0MDTyNSkREZAgo9BARGaGsgD8V0+x0Gab/RzJQBVQz2NGXovRU7pmzgEuKF5Luy4xVrSIygtg2VDQdYFXZRv64O0RHTyZQDHRhxs6+hhk72+lonSIiMioo9BARGeGiE1+mA5cCS4A8zNGXIwx29MXjsrh9xnSunryY4oxJsapVRBJYW3czW469zfO7N7G7phkYQ29z0o2Y5qQ77WAo7GCVIiIyyij0EBEZRayAvxBYjNn9MZHeoy+Dby9fUFTAjVPnMXvMHNK0+0NEThCxbcoa97KidBMvhPbQE0nHjJz1YXaWrcM0Jz2o5qQiIuIEhR4iIqOQFfCnYI6+XAnMxIy8reRUR19clsUNUyezbNI8pubOwOv2xqpeEYkzLV2NbDq6iWd3buZgQztmV0c+0ArswUxi2WwHQw1OlikiIqLQQ0RkFIsefZkGXEbv0ZdmzO6PrkEfmJnk5b3TZ7Bk/DyKMybjsqxY1CsiDgpHIpQ2hHjt4EZe3HuAiJ0JjAU8mFHZa4ENwD47GIo4WaqIiMhxCj1ERAQAK+AfQ+/UlwmAC6iJXgY/gz85O4Nbp8/lorHzyEkpiEGpIhJL9e3VbD62hWd3vk15UxdQCORgJkLtBlYDb9vBUJOTZYqIiAxEoYeIiPRhBfzJwCzgYswRmHxMw9NK4NRb1S+fUMR1F8xjZsEckj2pw12riAyTps56dlRt55UD21l/pArIxuzqcGN2gq3B7Oo4oF4dIiISzxR6iIjIoKyAPweYizn6Mh3IxPx2txJoG/SBXpeLm6dN5YpJ85ic7cftcseiXhE5D23dzeyq3sHrpdtZeegwphnpWEzg0YgZN7sGs6uj1cFKRUREzphCDxEROS0r4LeA8cA8TP+PSUAyUIeZ0DDw6FuA/NRk3jd9FhcVzaQovQS3yxWDkkXkTLR3t7K3bjcrD23jlQNlRGwL09vn+FG1w5jpK5uAQ9rVISIiiUahh4iInBUr4Pdgmp/Ox+wAGRu9qwoTggzewDAvJYkbpl7IgqLpTMqeis+dNNz1ishJ2rqb2VO7m9VlO3n14CF6IgC5mKDDg/l3vBVYD2y1g6F254oVERE5Pwo9RETknFkBfxowG1iI2QWSC3Rgjr+cuqlhssfNtVNKWDTOz4W5ftJ8mcNdr8io1dLVSKhmF6vKdvL6wXJsLCALM2o2CagHdmH6dGy3g6FaB6sVEREZMgo9RERkSFgBfwEm+LgUmAqkA62Y6S+nn+qwdGIxSyf6mZ4/ndyUMcNZq8ioUN9ezd66Pawo3cmqsiOAhenLUwCkYP5d7gXeArYBVTq+IiIiI41CDxERGVJWwO8CSoA5wCWY8bfpQBdQi/mN8uBHYACm52dz7ZTpzB7jZ2z6JFyWNaxFi4wEnT0dlDcdYHvVPlaU7md/fRMm6MjGBB1JmKDjICbo2A4cVtAhIiIjmUIPEREZNtEAZALgBy7C7ADJBmxMAFLHqZqgAhSmpXD91Au5aOx0JmZdgNftG96qRRJExLapbj3M3rr9rKvYx+ryw/REbEzQkYMJOryYoGMfsBEzgaVCQYeIiIwWCj1ERCQmohNg8jGjb2djRuHmAm6gAXMMpuOUf0iKx82ykgnMK5zMlJwSxqSN1zQYGVVau5opbdjH1sr9vHpwP1Wtx//NeDH/nnIwzUgbgT30Bh1HFXSIiMhopNBDREQcYQX8GZgpMDOBBUAhZvt9CyYAaT7tH5Lh83LlpAnMLSxhSs5kCtKKcVkKQWTkCEfCHGk+RKh2H6vL9rHxaHX0nuONSHOANCCM2Tm1GzN5ZSfq0SEiIqLQQ0REnGcF/EnABZhdIBcD4zF9QDoxAUgDp+sDApCV5GNZyUTmFpZQkl1Cfmqx+oFIQonYNvXtVRxqLGXT0X28drCUlq6e6L3JmN0c2YALc2zlCLAZc3xlvx0MtThSt4iISJxS6CEiInHFCvjdwERMH5AFwBTMb7QtzC6QBsybvdOHILkpSVw5aSJzxkxmck4JuSljFYJIXOnsaedYSwWHGivYXlXO2vLDNHZ2Re91YwKOXMwuqC5MCLgNCGGCDh1bEREROQWFHiIiEreifUAKMNNgpmAmwozFjN08+xAkPzWZZZMmMXtMCROzJpKbUojb5R6m8kX6itg2DR3VHG6qYF9dOZuOlrO1spa+L8XSMCFHZvTjBsy0la3AfuCgHQyduveNiIiIvEOhh4iIJIxoCDIGmBy9HA9BMjAhSDO9Icjpf8D53C4WFI1hZkERJdlFFGcUk5tSiMflGa6vQUaRzp4OKlsPU9ZYzo6qctZWHKauvfOEFRaQigk4sjANSNuAKmALphHpfqBWuzlERETOjUIPERFJWNGRuIX03QlSiAlBbHpDkGbOJAQB8LpcXFRUwKwTgpC81EI8Lu8wfAkyUoQjERo7azjafJj99RVsOlrO5qPVJ33XeTABRyZmR4eFCTkaMUdVdkWvy+xgqAcRERE5bwo9RERkxIiGIGMxu0COhyBjME1RbaAVE4A0Y/ojnBmPy2JeYT6zxxQzOScahKSMxetWEDLaRGybps46atuqONZSRVljNXtqq9hWVUtX+OQjVqmYHRyZmJGyEUzAUYkJOMqACuCwHQyd+fejiIiInDGFHiIiMmJFQ5BieneC+DE9QjIwb0JPDEJaMNNizozLsphXmMfsMUUUZ+RTkJZLTnIeWcm5+NxJQ/uVSMxFbJuWrgZq26qobK2mrLGKvbVVbK2sob0nPMAj3PQeUzm+i6Od3l0c+4ByTMhRp+MqIiIisaHQQ0RERo1oT5AsTBBSBIwDpmF2g5wchLRgwpAzD0KOG5+ZxrS8XCZl5TE2PZeCtDxykvPITMrV7pA4Y9vQ2t34TrhR0dQbbjR3dQ/yKC9mF0caZheRDwhjvl8G2sVx9t9DIiIiMiQUeoiIyKgWDUIy6Q1CijE7Qo4HIT5MENJG746Qc5+eUZKdwbS8XCZGA5H81Dyyk3PJTMpVA9Vh0BXuorWrkeauRho7Gqlrb6S6rZHKlibKGhs52NBEx4A7N8D04DgebqRhxsZaQA+9wVgpZhdHBWYnh5qOioiIxBGFHiIiIieJBiEZ9A1CpmH6haRj3vzamB4N7ZhApD16ObcGlBYwKTuD8ZkZFKZlkJeaQU5yBlnJGWT4Mkj3ZZDmyyDJnYplnedXOEJE7Aht3c00dzbS3NVEfXsjte2NVLY0cri5kQP1jdS0nUlA5aZvuJES/XwY83fbggk0DmEmq1QB1ZiAY7DAREREROKAQg8REZEzZAX8x4OQMUBe9HpC9HYK5o2zK7o8TP9A5PzfIPvcLorSUylMTyMvJZXclDSyktPITEol3ZdGui+NFE8qSZ5kPC4vXpcPt8uLx+XFFadpSXe4m65wO53hDjp7OugMd9De3U57Twdt3ebS0tVOc2cHTZ0dNHZ2UN3aRnlTCz2RM30h48KEVUlAMubvKgUTN0XoDTeOYHZvVGKCjSqgRtNUREREEpNCDxERkfNkBfzJQC4m/Dh+PRbTMySX3kDEil666Q1COjB9Q7o507G65yrZ4ybd5yXD5yXN5yXN6yXF6yXFc/zaR5LHS5LbS5LHi89tboOFTYSIbROxT7we6HM24UjvfeET7gtHIrR2d9HY0U59Rwe1bR3UtHXQHTl56sm58GLCjKSTrk/USe//72PAQfqHG5qiIiIiMoIo9BARERlGVsCfQt8wJJfeJqo5mDfmPsyb9hN1Y8bqdkavu0+4Hk1HKtyY3hpe+gcbHnqDoh56Q40WTIhRCTRgJqiceGmyg6HBmpSKiIjICKLQQ0RExAHRviGpmCaqGR21dOkAAAFVSURBVCddMjEBST6QjXmTfzwY8WKCgOM/wI831jwehoQxxzUGuh7oc8P9QsCFCScGu3hPuH0yK1pjT/TShQk1auntq3FyoNEItKuZqIiIiIBCDxERkbhmBfwuTHPNExttnnw7i95dI8d3Qvgw4YjrNNcW5x98HP8zTrw+zqY3tOimb4DRcsKlmd7+Jx0nXE78uA2zS2M07XQRERGR86DQQ0REZASKhiXe01x8g3z++K6LSPRin3Q90OcGuy/MwAFGt3ZjiIiIyHBT6CEiIiIiIiIiI5Lr9EtERERERERERBKPQg8RERERERERGZEUeoiIiIiIiIjIiKTQQ0RERERERERGJIUeIiIiIiIiIjIiKfQQERERERERkRFJoYeIiIiIiIiIjEgKPURERERERERkRFLoISIiIiIiIiIjkkIPERERERERERmRFHqIiIiIiIiIyIj0/wFuXZJyg7vo5AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(dpi=100)\n",
    "ax.set_aspect('equal')\n",
    "ax.pie(oa_yes_no, labels=oa_yes_no.index, radius=3, labeldistance = None, colors=['tomato', 'springgreen'], autopct=lambda x: str(round(x, 1)) + '%', pctdistance = 0.9, shadow = True);\n",
    "ax.pie(type_oa, labels=type_oa.index, radius=2.3, labeldistance = None, colors=['firebrick','gold','greenyellow','seagreen'], autopct=lambda x: str(round(x, 1)) + '%', \n",
    "       pctdistance = 0.9);\n",
    "ax.pie([1], radius=1.8, colors='white');\n",
    "ax.legend(loc=\"center\", fontsize = 12)\n",
    "plt.title('Proportion des publications 2019 en accès ouvert (mesuré en 2021)', fontsize = 20, x = 0.55, y = 1.8,\n",
    "          fontweight = 'bold', alpha = 0.6)\n",
    "plt.savefig('Data/outputs/2019_proportion_publications_oa.png', dpi=150, bbox_inches='tight', pad_inches=0.9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Il peut être intéressant d'identifier les publications publiées uniquement en accès ouvert \"Editeur\", pour ensuite déposer ces publications dans une archive ouverte. Pour cela, saisir le code ci-dessous."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "publications_ouvertes_editeurs = pie_data.loc[(pie_data['oa_type'] == 'publisher')]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Capturer ensuite le résultat dans un fichier. Ici on va utiliser \"to_excel\" et pas \"to_csv\" afin d'obtenir un résultat directement lisible par l'humain."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "publications_ouvertes_editeurs.to_excel(\"Data/outputs/publications_ouvertes_editeurs.xls\", index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### *Evolution du taux d'accès ouvert aux publications 2016-2020*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Isoler les publications des années souhaitées**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Quelques publications d'autres années peuvent se glisser, si l'année est mal renseignée dans les bases de données. Il vaut mieux donc s'assurer que les bonnes années sont utilisées. <span style=\"color:red\">**Pour mettre à jour ce graphique, il faut ajouter la nouvelle année et changer le nom de la variable. df_complete_20162020 devient par exemple df_complete20162021. Attention, il faudra penser à changer le nom de cette variable dans le reste du code.**</span>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_complete_20162020 = df_complete.loc[(df_complete['published_year'] == 2016.0) | (df_complete['published_year'] == 2017.0) \n",
    "                                       | (df_complete['published_year'] == 2018.0) | (df_complete['published_year'] == 2019.0)\n",
    "                                       | (df_complete['published_year'] == 2020.0),:]\n",
    "\n",
    "\n",
    "# Ignorer l'avertissement\n",
    "pd.set_option('mode.chained_assignment', None)\n",
    "df_complete_20162020.is_oa = df_complete_20162020.is_oa.astype(bool)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Préparer les données pour chaque type d'accès ouvert**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Les différents types d'accès ouvert sont : \n",
    "- \"Editeur\" : publication en accès ouvert chez un éditeur uniquement\n",
    "- \"Editeur et Archive ouverte\" : publication à la fois en accès ouvert chez un éditeur et en dépôt dans une archive ouverte\n",
    "- \"Archive ouverte\" : publication en accès ouvert uniquement dans une archive ouverte"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_complete_20162020['oa_publisher_repository'] = df_complete_20162020.oa_type=='publisher;repository'\n",
    "df_complete_20162020['oa_repository'] = df_complete_20162020.oa_type=='repository'\n",
    "df_complete_20162020['oa_publisher'] = df_complete_20162020.oa_type=='publisher'\n",
    "df_complete_20162020['oa_unk'] = df_complete_20162020.oa_type=='unknown'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Définition du taux d'accès ouvert global par année**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_oa_global_year = pd.DataFrame(df_complete_20162020.groupby(['published_year'])[['is_oa', 'oa_repository', \n",
    "                                                                                   'oa_publisher', 'oa_unk', \n",
    "                                                                                   'oa_publisher_repository']]\n",
    "                                 .agg(['count', np.mean])).reset_index()\n",
    "df_oa_global_year.columns = ['published_year', 'nb_doi', 'oa_mean', 'nbdoi1', 'oa_repository_mean', 'nb_doi2', \n",
    "                             'oa_publisher_mean', 'nb_doi3', 'oa_unk_mean', 'nb_doi4', 'oa_publisher_repository_mean']\n",
    "df_oa_global_year['year_label'] = df_oa_global_year.apply(lambda x:\"{}\\n({} publications)\".format(int(x.published_year), int(x.nb_doi)), \n",
    "                                                          axis=1)\n",
    "df_oa_global_year = df_oa_global_year.sort_values(by='published_year', ascending=True)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Réalisation du graphique**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Attention ici, lors de la mise à jour du graphique avec une année supplémentaire, il faut bien penser à modifier dans le code l'intervalle d'années choisi. Par exemple lors de l'ajout des données de 2021, il faudra remplacer :\n",
    "\n",
    "for year_ix in range(0, 5):\n",
    "\n",
    "par\n",
    "\n",
    "for year_ix in range(0, 6):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "graph_type = 'poster'\n",
    "\n",
    "if graph_type == 'poster':\n",
    "    fig, (ax) = plt.subplots(figsize=(15, 10), dpi=100, facecolor='w', edgecolor='k')\n",
    "else:\n",
    "    fig, (ax) = plt.subplots(figsize=(10, 12), dpi=100, facecolor='w', edgecolor='k')\n",
    "\n",
    "\n",
    "years = df_oa_global_year.year_label.tolist()\n",
    "y_pos = np.arange(len(years))\n",
    "\n",
    "oa_publisher_repository_mean = df_oa_global_year.oa_publisher_repository_mean.tolist() \n",
    "oa_repository_mean = df_oa_global_year.oa_repository_mean.tolist() \n",
    "oa_publisher_mean = df_oa_global_year.oa_publisher_mean.tolist() \n",
    "oa_unk_mean = df_oa_global_year.oa_unk_mean.tolist()\n",
    "\n",
    "\n",
    "oa_total_mean = list( map(lambda x,y: x+y, oa_publisher_repository_mean, oa_repository_mean))\n",
    "oa_total_mean = list( map(lambda x,y: x+y, oa_total_mean, oa_publisher_mean)  )\n",
    "oa_total_mean = list( map(lambda x,y: x+y, oa_total_mean, oa_unk_mean)  )     \n",
    "\n",
    "\n",
    "rect1 = ax.bar(y_pos, oa_publisher_mean, align='center', alpha = 1.0, color='gold',\n",
    "        ecolor='black', label=\"Editeur\")\n",
    "\n",
    "ax.bar(y_pos, oa_publisher_repository_mean, align='center', alpha = 1.0, color='greenyellow',\n",
    "        bottom = oa_publisher_mean,\n",
    "        ecolor='black', label=\"Editeur & Archive ouverte\")\n",
    "\n",
    "ax.bar(y_pos, oa_repository_mean, align='center',alpha = 1.0, color='seagreen',\n",
    "       bottom = [oa_publisher_mean[i] + oa_publisher_repository_mean[i] for i in range(0, len(oa_publisher_mean))], \n",
    "         ecolor='black', label=\"Archive ouverte\")\n",
    "\n",
    "\n",
    "w = rect1[0].get_width()\n",
    "# Lors de l'ajout (ou du retrait) d'une nouvelle année pendant la génération de ce graphique, penser à changer l'intervalle.\n",
    "# Pour observer la période 2016-2020, il faudra remplacer range(0, 4) par range (O,5)\n",
    "for year_ix in range(0, 5):\n",
    "    ax.annotate(\"{:,.1%}\".format(oa_total_mean[year_ix]),\n",
    "                        xy=(year_ix , oa_total_mean[year_ix]),\n",
    "                        xytext=(0, 20),  \n",
    "                        size=20,\n",
    "                        textcoords=\"offset points\",\n",
    "                        ha='center', va='bottom')\n",
    "\n",
    "ax.set_xticks(y_pos)\n",
    "ax.set_xticklabels(years, fontsize = 15)\n",
    "#ax.invert_xaxis()  # labels read top-to-bottom\n",
    "ax.set_ylim([0,1])\n",
    "ax.set_yticklabels(['{:,.0%}'.format(x) for x in ax.get_yticks()], fontsize = 20)\n",
    "# En cas de taux d'accès ouvert très important, il est préférable de changer la place de la légende pour plus de lisibilité :\n",
    "# ax.legend(fontsize=15, loc='lower right')\n",
    "ax.legend(fontsize=15)\n",
    "ax.yaxis.grid(ls='--', alpha=0.4)\n",
    "\n",
    "# Ignorer l'avertissement\n",
    "pd.set_option('mode.chained_assignment', None)\n",
    "\n",
    "plt.title(\"Evolution du taux d'accès ouvert aux publications 2016-2020\", fontsize = 25, x = 0.47, y = 1.1,\n",
    "          fontweight = 'bold', alpha = 0.6)\n",
    "plt.savefig('Data/outputs/2019_evolution_oa_annees.png', dpi=100, bbox_inches='tight', pad_inches=0.9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### *Taux d'accès ouvert aux publications 2019 par discipline (calculé en 2021)*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Les données du Baromètre n'étant pas encore mise à jour, le taux par discipline pour 2020 ne peut pas encore être visualisé.\n",
    "\n",
    "<span style=\"color:red\">**Pour mettre à jour ce graphique, changer l'année ci-dessous et modifier le titre du graphique au niveau de la fonction plt.title. Attention, il faudra mettre la nouvelle année à jour partout dans le code.**</span>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Isoler les publications de l'année 2019**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "publications_2019 = df_complete.loc[df_complete['published_year'] == 2019.0,:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Quelle est la proportion d'accès ouvert, par type d'accès, des publications par discipline dans l'année ?**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Biology (fond.)                                 566\n",
       "Chemistry                                       375\n",
       "Computer and \\n information sciences            491\n",
       "Earth, Ecology, \\nEnergy and applied biology    447\n",
       "Engineering                                     215\n",
       "Humanities                                      140\n",
       "Mathematics                                     176\n",
       "Medical research                                985\n",
       "Physical sciences, Astronomy                    661\n",
       "Social sciences                                 153\n",
       "unknown                                           1\n",
       "Name: scientific_field, dtype: int64"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "publications_par_domaine = publications_2019['scientific_field'].value_counts().sort_index()\n",
    "publications_par_domaine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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>oa_type</th>\n",
       "      <th>closed</th>\n",
       "      <th>publisher</th>\n",
       "      <th>publisher;repository</th>\n",
       "      <th>repository</th>\n",
       "      <th>Total</th>\n",
       "      <th>y_label</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>y_label</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>unknown\\n1 publications</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>unknown\\n1 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mathématiques\\n176 publications</th>\n",
       "      <td>46</td>\n",
       "      <td>13</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>176</td>\n",
       "      <td>Mathématiques\\n176 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Humanités\\n140 publications</th>\n",
       "      <td>64</td>\n",
       "      <td>32</td>\n",
       "      <td>21</td>\n",
       "      <td>23</td>\n",
       "      <td>140</td>\n",
       "      <td>Humanités\\n140 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sciences sociales\\n153 publications</th>\n",
       "      <td>71</td>\n",
       "      <td>26</td>\n",
       "      <td>21</td>\n",
       "      <td>35</td>\n",
       "      <td>153</td>\n",
       "      <td>Sciences sociales\\n153 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sciences de l'Ingénieur\\n215 publications</th>\n",
       "      <td>117</td>\n",
       "      <td>34</td>\n",
       "      <td>27</td>\n",
       "      <td>37</td>\n",
       "      <td>215</td>\n",
       "      <td>Sciences de l'Ingénieur\\n215 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sciences de la Terre, Ecologie, \\nEnergie et biologie appliquée\\n447 publications</th>\n",
       "      <td>206</td>\n",
       "      <td>43</td>\n",
       "      <td>87</td>\n",
       "      <td>111</td>\n",
       "      <td>447</td>\n",
       "      <td>Sciences de la Terre, Ecologie, \\nEnergie et b...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chimie\\n375 publications</th>\n",
       "      <td>213</td>\n",
       "      <td>29</td>\n",
       "      <td>48</td>\n",
       "      <td>85</td>\n",
       "      <td>375</td>\n",
       "      <td>Chimie\\n375 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Informatique\\n491 publications</th>\n",
       "      <td>217</td>\n",
       "      <td>35</td>\n",
       "      <td>41</td>\n",
       "      <td>198</td>\n",
       "      <td>491</td>\n",
       "      <td>Informatique\\n491 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Biologie (fond.)\\n566 publications</th>\n",
       "      <td>233</td>\n",
       "      <td>41</td>\n",
       "      <td>180</td>\n",
       "      <td>112</td>\n",
       "      <td>566</td>\n",
       "      <td>Biologie (fond.)\\n566 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sciences physiques, astronomie\\n661 publications</th>\n",
       "      <td>285</td>\n",
       "      <td>44</td>\n",
       "      <td>103</td>\n",
       "      <td>229</td>\n",
       "      <td>661</td>\n",
       "      <td>Sciences physiques, astronomie\\n661 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sciences médicales\\n985 publications</th>\n",
       "      <td>530</td>\n",
       "      <td>103</td>\n",
       "      <td>243</td>\n",
       "      <td>109</td>\n",
       "      <td>985</td>\n",
       "      <td>Sciences médicales\\n985 publications</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "oa_type                                             closed  publisher  \\\n",
       "y_label                                                                 \n",
       "unknown\\n1 publications                                  0          0   \n",
       "Mathématiques\\n176 publications                         46         13   \n",
       "Humanités\\n140 publications                             64         32   \n",
       "Sciences sociales\\n153 publications                     71         26   \n",
       "Sciences de l'Ingénieur\\n215 publications              117         34   \n",
       "Sciences de la Terre, Ecologie, \\nEnergie et bi...     206         43   \n",
       "Chimie\\n375 publications                               213         29   \n",
       "Informatique\\n491 publications                         217         35   \n",
       "Biologie (fond.)\\n566 publications                     233         41   \n",
       "Sciences physiques, astronomie\\n661 publications       285         44   \n",
       "Sciences médicales\\n985 publications                   530        103   \n",
       "\n",
       "oa_type                                             publisher;repository  \\\n",
       "y_label                                                                    \n",
       "unknown\\n1 publications                                                1   \n",
       "Mathématiques\\n176 publications                                       23   \n",
       "Humanités\\n140 publications                                           21   \n",
       "Sciences sociales\\n153 publications                                   21   \n",
       "Sciences de l'Ingénieur\\n215 publications                             27   \n",
       "Sciences de la Terre, Ecologie, \\nEnergie et bi...                    87   \n",
       "Chimie\\n375 publications                                              48   \n",
       "Informatique\\n491 publications                                        41   \n",
       "Biologie (fond.)\\n566 publications                                   180   \n",
       "Sciences physiques, astronomie\\n661 publications                     103   \n",
       "Sciences médicales\\n985 publications                                 243   \n",
       "\n",
       "oa_type                                             repository  Total  \\\n",
       "y_label                                                                 \n",
       "unknown\\n1 publications                                      0      1   \n",
       "Mathématiques\\n176 publications                             94    176   \n",
       "Humanités\\n140 publications                                 23    140   \n",
       "Sciences sociales\\n153 publications                         35    153   \n",
       "Sciences de l'Ingénieur\\n215 publications                   37    215   \n",
       "Sciences de la Terre, Ecologie, \\nEnergie et bi...         111    447   \n",
       "Chimie\\n375 publications                                    85    375   \n",
       "Informatique\\n491 publications                             198    491   \n",
       "Biologie (fond.)\\n566 publications                         112    566   \n",
       "Sciences physiques, astronomie\\n661 publications           229    661   \n",
       "Sciences médicales\\n985 publications                       109    985   \n",
       "\n",
       "oa_type                                                                                       y_label  \n",
       "y_label                                                                                                \n",
       "unknown\\n1 publications                                                       unknown\\n1 publications  \n",
       "Mathématiques\\n176 publications                                       Mathématiques\\n176 publications  \n",
       "Humanités\\n140 publications                                               Humanités\\n140 publications  \n",
       "Sciences sociales\\n153 publications                               Sciences sociales\\n153 publications  \n",
       "Sciences de l'Ingénieur\\n215 publications                   Sciences de l'Ingénieur\\n215 publications  \n",
       "Sciences de la Terre, Ecologie, \\nEnergie et bi...  Sciences de la Terre, Ecologie, \\nEnergie et b...  \n",
       "Chimie\\n375 publications                                                     Chimie\\n375 publications  \n",
       "Informatique\\n491 publications                                         Informatique\\n491 publications  \n",
       "Biologie (fond.)\\n566 publications                                 Biologie (fond.)\\n566 publications  \n",
       "Sciences physiques, astronomie\\n661 publications     Sciences physiques, astronomie\\n661 publications  \n",
       "Sciences médicales\\n985 publications                             Sciences médicales\\n985 publications  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_oa_discipline_global = pd.crosstab([publications_2019['scientific_field']],publications_2019['oa_type'])\n",
    "# Ajout d'une colonne avec le total par discipline\n",
    "df_oa_discipline_global[\"Total\"] = publications_par_domaine\n",
    "# Traduction des disciplines en français\n",
    "df_oa_discipline_global.rename(index = {'Biology (fond.)': 'Biologie (fond.)', 'Chemistry': 'Chimie', \n",
    "                                         'Computer and \\n information sciences' : 'Informatique',\n",
    "                                       'Earth, Ecology, \\nEnergy and applied biology' : 'Sciences de la Terre, Ecologie, \\nEnergie et biologie appliquée',\n",
    "                                        'Engineering' : \"Sciences de l'Ingénieur\",\n",
    "                                        'Humanities' : 'Humanités',\n",
    "                                        'Mathematics' : 'Mathématiques',\n",
    "                                        'Medical research' : 'Sciences médicales',\n",
    "                                        'Physical sciences, Astronomy' : 'Sciences physiques, astronomie',\n",
    "                                        'Social sciences' : 'Sciences sociales'}, inplace = True)\n",
    "df_oa_discipline_global = df_oa_discipline_global.sort_values(by='closed', ascending=True)\n",
    "# Ajout d'une colonne qui concatène le nom de la discipline et le total\n",
    "df_oa_discipline_global[\"y_label\"] = df_oa_discipline_global.index + \"\\n\" + df_oa_discipline_global[\"Total\"].apply(str) \\\n",
    "                                     + \" \" + \"publications\"\n",
    "# Réindexation de l'index pour que les bonnes informations s'affichent dans le graphique final\n",
    "df_oa_discipline_global.index = df_oa_discipline_global[\"y_label\"]\n",
    "df_oa_discipline_global"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Retirer la ligne des publications pour laquelle aucune discipline n'a pu être identifiée. Attention lors des mises à jour, le chiffre \"n9 publications\" peut changer. Il faut donc mettre dans la ligne ci-dessous le nombre de publications unknown (voir la 1ère ligne du tableau).\n",
    "\n",
    "**Si vous n'avez aucune publication \"unknown\", n'exécutez pas la ligne ci-dessous et passez à la suivante.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_oa_discipline_global = df_oa_discipline_global.drop('unknown\\n1 publications')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Convertir le résultat en pourcentages**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "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>oa_type</th>\n",
       "      <th>closed</th>\n",
       "      <th>publisher</th>\n",
       "      <th>publisher;repository</th>\n",
       "      <th>repository</th>\n",
       "      <th>Total</th>\n",
       "      <th>y_label</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>y_label</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>unknown\\n1 publications</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>unknown\\n1 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mathématiques\\n176 publications</th>\n",
       "      <td>26.1</td>\n",
       "      <td>7.4</td>\n",
       "      <td>13.1</td>\n",
       "      <td>53.4</td>\n",
       "      <td>176</td>\n",
       "      <td>Mathématiques\\n176 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Biologie (fond.)\\n566 publications</th>\n",
       "      <td>41.2</td>\n",
       "      <td>7.2</td>\n",
       "      <td>31.8</td>\n",
       "      <td>19.8</td>\n",
       "      <td>566</td>\n",
       "      <td>Biologie (fond.)\\n566 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sciences physiques, astronomie\\n661 publications</th>\n",
       "      <td>43.1</td>\n",
       "      <td>6.7</td>\n",
       "      <td>15.6</td>\n",
       "      <td>34.6</td>\n",
       "      <td>661</td>\n",
       "      <td>Sciences physiques, astronomie\\n661 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Informatique\\n491 publications</th>\n",
       "      <td>44.2</td>\n",
       "      <td>7.1</td>\n",
       "      <td>8.4</td>\n",
       "      <td>40.3</td>\n",
       "      <td>491</td>\n",
       "      <td>Informatique\\n491 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Humanités\\n140 publications</th>\n",
       "      <td>45.7</td>\n",
       "      <td>22.9</td>\n",
       "      <td>15.0</td>\n",
       "      <td>16.4</td>\n",
       "      <td>140</td>\n",
       "      <td>Humanités\\n140 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sciences de la Terre, Ecologie, \\nEnergie et biologie appliquée\\n447 publications</th>\n",
       "      <td>46.1</td>\n",
       "      <td>9.6</td>\n",
       "      <td>19.5</td>\n",
       "      <td>24.8</td>\n",
       "      <td>447</td>\n",
       "      <td>Sciences de la Terre, Ecologie, \\nEnergie et b...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sciences sociales\\n153 publications</th>\n",
       "      <td>46.4</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.7</td>\n",
       "      <td>22.9</td>\n",
       "      <td>153</td>\n",
       "      <td>Sciences sociales\\n153 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sciences médicales\\n985 publications</th>\n",
       "      <td>53.8</td>\n",
       "      <td>10.5</td>\n",
       "      <td>24.7</td>\n",
       "      <td>11.1</td>\n",
       "      <td>985</td>\n",
       "      <td>Sciences médicales\\n985 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sciences de l'Ingénieur\\n215 publications</th>\n",
       "      <td>54.4</td>\n",
       "      <td>15.8</td>\n",
       "      <td>12.6</td>\n",
       "      <td>17.2</td>\n",
       "      <td>215</td>\n",
       "      <td>Sciences de l'Ingénieur\\n215 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chimie\\n375 publications</th>\n",
       "      <td>56.8</td>\n",
       "      <td>7.7</td>\n",
       "      <td>12.8</td>\n",
       "      <td>22.7</td>\n",
       "      <td>375</td>\n",
       "      <td>Chimie\\n375 publications</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "oa_type                                             closed  publisher  \\\n",
       "y_label                                                                 \n",
       "unknown\\n1 publications                                0.0        0.0   \n",
       "Mathématiques\\n176 publications                       26.1        7.4   \n",
       "Biologie (fond.)\\n566 publications                    41.2        7.2   \n",
       "Sciences physiques, astronomie\\n661 publications      43.1        6.7   \n",
       "Informatique\\n491 publications                        44.2        7.1   \n",
       "Humanités\\n140 publications                           45.7       22.9   \n",
       "Sciences de la Terre, Ecologie, \\nEnergie et bi...    46.1        9.6   \n",
       "Sciences sociales\\n153 publications                   46.4       17.0   \n",
       "Sciences médicales\\n985 publications                  53.8       10.5   \n",
       "Sciences de l'Ingénieur\\n215 publications             54.4       15.8   \n",
       "Chimie\\n375 publications                              56.8        7.7   \n",
       "\n",
       "oa_type                                             publisher;repository  \\\n",
       "y_label                                                                    \n",
       "unknown\\n1 publications                                            100.0   \n",
       "Mathématiques\\n176 publications                                     13.1   \n",
       "Biologie (fond.)\\n566 publications                                  31.8   \n",
       "Sciences physiques, astronomie\\n661 publications                    15.6   \n",
       "Informatique\\n491 publications                                       8.4   \n",
       "Humanités\\n140 publications                                         15.0   \n",
       "Sciences de la Terre, Ecologie, \\nEnergie et bi...                  19.5   \n",
       "Sciences sociales\\n153 publications                                 13.7   \n",
       "Sciences médicales\\n985 publications                                24.7   \n",
       "Sciences de l'Ingénieur\\n215 publications                           12.6   \n",
       "Chimie\\n375 publications                                            12.8   \n",
       "\n",
       "oa_type                                             repository  Total  \\\n",
       "y_label                                                                 \n",
       "unknown\\n1 publications                                    0.0      1   \n",
       "Mathématiques\\n176 publications                           53.4    176   \n",
       "Biologie (fond.)\\n566 publications                        19.8    566   \n",
       "Sciences physiques, astronomie\\n661 publications          34.6    661   \n",
       "Informatique\\n491 publications                            40.3    491   \n",
       "Humanités\\n140 publications                               16.4    140   \n",
       "Sciences de la Terre, Ecologie, \\nEnergie et bi...        24.8    447   \n",
       "Sciences sociales\\n153 publications                       22.9    153   \n",
       "Sciences médicales\\n985 publications                      11.1    985   \n",
       "Sciences de l'Ingénieur\\n215 publications                 17.2    215   \n",
       "Chimie\\n375 publications                                  22.7    375   \n",
       "\n",
       "oa_type                                                                                       y_label  \n",
       "y_label                                                                                                \n",
       "unknown\\n1 publications                                                       unknown\\n1 publications  \n",
       "Mathématiques\\n176 publications                                       Mathématiques\\n176 publications  \n",
       "Biologie (fond.)\\n566 publications                                 Biologie (fond.)\\n566 publications  \n",
       "Sciences physiques, astronomie\\n661 publications     Sciences physiques, astronomie\\n661 publications  \n",
       "Informatique\\n491 publications                                         Informatique\\n491 publications  \n",
       "Humanités\\n140 publications                                               Humanités\\n140 publications  \n",
       "Sciences de la Terre, Ecologie, \\nEnergie et bi...  Sciences de la Terre, Ecologie, \\nEnergie et b...  \n",
       "Sciences sociales\\n153 publications                               Sciences sociales\\n153 publications  \n",
       "Sciences médicales\\n985 publications                             Sciences médicales\\n985 publications  \n",
       "Sciences de l'Ingénieur\\n215 publications                   Sciences de l'Ingénieur\\n215 publications  \n",
       "Chimie\\n375 publications                                                     Chimie\\n375 publications  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_oa_discipline = pd.crosstab([publications_2019['scientific_field']],publications_2019['oa_type'])\n",
    "df_oa_discipline = (df_oa_discipline.T / df_oa_discipline.T.sum()).mul(100).round(1)\n",
    "df_oa_discipline = df_oa_discipline.T\n",
    "df_oa_discipline[\"Total\"] = publications_par_domaine\n",
    "df_oa_discipline.rename(index = {'Biology (fond.)': 'Biologie (fond.)', 'Chemistry': 'Chimie', \n",
    "                                         'Computer and \\n information sciences' : 'Informatique',\n",
    "                                       'Earth, Ecology, \\nEnergy and applied biology' : 'Sciences de la Terre, Ecologie, \\nEnergie et biologie appliquée',\n",
    "                                        'Engineering' : \"Sciences de l'Ingénieur\",\n",
    "                                        'Humanities' : 'Humanités',\n",
    "                                        'Mathematics' : 'Mathématiques',\n",
    "                                        'Medical research' : 'Sciences médicales',\n",
    "                                        'Physical sciences, Astronomy' : 'Sciences physiques, astronomie',\n",
    "                                        'Social sciences' : 'Sciences sociales'}, inplace = True)\n",
    "df_oa_discipline[\"y_label\"] = df_oa_discipline.index + \"\\n\" + df_oa_discipline[\"Total\"].apply(str) \\\n",
    "                                     + \" \" + \"publications\"\n",
    "df_oa_discipline.index = df_oa_discipline[\"y_label\"]\n",
    "df_oa_discipline = df_oa_discipline.sort_values(by='closed', ascending=True)\n",
    "df_oa_discipline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Retirer la ligne des publications pour laquelle aucune discipline n'a pu être identifiée. Attention lors des mises à jour, le chiffre \"n9 publications\" peut changer. Il faut donc mettre dans la ligne ci-dessous le nombre de publications unknown (voir la 1ère ligne du tableau).\n",
    "\n",
    "Si vous n'avez aucune publication \"unknown\", n'exécutez pas la ligne ci-dessous et passez à la suivante."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_oa_discipline = df_oa_discipline.drop('unknown\\n1 publications')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Générer le graphique**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x792 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.ticker as mtick\n",
    "\n",
    "ax = df_oa_discipline.drop([\"Total\", \"y_label\"], axis=1).plot(kind=\"barh\", stacked=True, figsize=(15, 11), color=['tomato','gold','greenyellow','seagreen'])\n",
    "ax.xaxis.set_major_formatter(mtick.PercentFormatter())\n",
    "\n",
    "labels = []\n",
    "for j in df_oa_discipline.columns:\n",
    "    for i in df_oa_discipline.index:\n",
    "        label = str(df_oa_discipline.loc[i][j]) + \"%\"\n",
    "        labels.append(label)\n",
    "\n",
    "patches = ax.patches\n",
    "\n",
    "for label, rect in zip(labels, patches):\n",
    "    width = rect.get_width()\n",
    "    if width > 0:\n",
    "        x = rect.get_x()\n",
    "        y = rect.get_y()\n",
    "        height = rect.get_height()\n",
    "        ax.text(x + width/2., y + height/2., label, ha='center', va='center', fontsize=15)\n",
    "\n",
    "# Trier les disciplines par ordre alphabétique\n",
    "plt.gca().invert_yaxis()\n",
    "plt.tick_params(axis = 'both', labelsize = 15)\n",
    "\n",
    "plt.xlabel(\"Nombre total de publications recensées et proportions par type d'accès ouvert\", fontsize=15)  \n",
    "plt.ylabel(None, fontsize = 13)\n",
    "\n",
    "# Les légendes sont nativement en anglais. Elles ont été renommées ici, mais attention, pour une réutilisation avec d'autres\n",
    "# données, il est conseillé d'enlever cette liste [\"Accès fermé\", \"Editeur\"...] et de générer le graphique une 1ère\n",
    "# fois pour voir quels types de documents ressortent et dans quel ordre. On peut toujours renommer la légende dans un 2ème \n",
    "# temps.\n",
    "plt.legend(['Accès fermé', 'Editeur', 'Editeur & Archive ouverte', 'Archive ouverte'],\n",
    "              loc = 'best', ncol = 1,\n",
    "              frameon = True, markerscale = 2, title = None,\n",
    "              borderpad = 0.3, labelspacing = 0.3, bbox_to_anchor=(1, 0.1))\n",
    "\n",
    "plt.title(\"Taux d'accès ouvert aux publications 2019 par discipline\", fontsize = 25, x = 0.49, y = 1.02,\n",
    "          fontweight = 'bold', alpha = 0.6)\n",
    "plt.savefig('Data/outputs/2019_taux_type_oa_discipline.png', dpi=100, bbox_inches='tight', pad_inches=0.9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Variante du code pour les établissements travaillant sur de petits jeux de données :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x792 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df_oa_discipline_global.drop([\"Total\", \"y_label\"], axis=1).plot(kind=\"barh\", stacked=True, figsize=(15, 11), color=['tomato','gold','greenyellow','seagreen'])\n",
    "\n",
    "labels = []\n",
    "for j in df_oa_discipline_global.columns:\n",
    "    for i in df_oa_discipline_global.index:\n",
    "        label = str(df_oa_discipline_global.loc[i][j])\n",
    "        labels.append(label)\n",
    "\n",
    "patches = ax.patches\n",
    "\n",
    "for label, rect in zip(labels, patches):\n",
    "    width = rect.get_width()\n",
    "    if width > 0:\n",
    "        x = rect.get_x()\n",
    "        y = rect.get_y()\n",
    "        height = rect.get_height()\n",
    "        ax.text(x + width/2., y + height/2., label, ha='center', va='center', fontsize=15)\n",
    "\n",
    "plt.xlabel(\"Nombre total de publications recensées et proportions par type d'accès ouvert\", fontsize=15)  \n",
    "plt.ylabel(None, fontsize = 15)\n",
    "\n",
    "plt.gca().invert_yaxis()\n",
    "plt.legend(    loc = 'best', ncol = 1,\n",
    "              frameon = True, markerscale = 2, title = None,\n",
    "            borderpad = 0.3, labelspacing = 0.3, bbox_to_anchor=(1, 0.1))\n",
    "\n",
    "plt.title(\"Taux d'accès ouvert aux publications 2019 par discipline\", fontsize = 25, x = 0.49, y = 1.02,\n",
    "          fontweight = 'bold', alpha = 0.6)\n",
    "plt.savefig('Data/outputs/2019_taux_type_oa_discipline_en_nb_total.png', dpi=100, bbox_inches='tight', pad_inches=0.9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### *Taux d'accès ouvert aux publications 2020 par éditeur / préfixe DOI (calculé en 2021)*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Le Baromètre du Mnistère montre le taux d'accès ouvert aux publications par éditeur, ce qui a du sens au niveau national. Mais au niveau local, il semble plus judicieux de regarder auprès de quels éditeurs publient en majorité les chercheurs, puis de regarder ces éditeurs de plus près.\n",
    "\n",
    "<span style=\"color:red\">**Pour mettre à jour ce graphique, changer l'année ci-dessous et modifier le titre du graphique au niveau de la fonction plt.title. Attention, il faudra mettre la nouvelle année à jour partout dans le code.**</span>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Isoler les publications de l'année 2019**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "publications_2019 = df_complete.loc[df_complete['published_year'] == 2019.0,:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Voir quels sont les 20 éditeurs majoritaires au sein de la production de l'Université de lorraine**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Elsevier BV                                                 1227\n",
       "Springer Science and Business Media LLC                      470\n",
       "Wiley                                                        303\n",
       "Springer International Publishing                            171\n",
       "IEEE                                                         150\n",
       "MDPI AG                                                      146\n",
       "Informa UK Limited                                           113\n",
       "IOP Publishing                                               105\n",
       "American Chemical Society (ACS)                              101\n",
       "Oxford University Press (OUP)                                 91\n",
       "CAIRN                                                         78\n",
       "OpenEdition                                                   62\n",
       "AIP Publishing                                                61\n",
       "Ovid Technologies (Wolters Kluwer Health)                     60\n",
       "American Physical Society (APS)                               57\n",
       "Institute of Electrical and Electronics Engineers (IEEE)      55\n",
       "Frontiers Media SA                                            45\n",
       "Royal Society of Chemistry (RSC)                              42\n",
       "EDP Sciences                                                  39\n",
       "SAGE Publications                                             37\n",
       "Name: publisher, dtype: int64"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "publications_par_editeur = publications_2019['publisher'].value_counts().iloc[0:20]\n",
    "publications_par_editeur"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Elsevier BV', 'Springer Science and Business Media LLC', 'Wiley',\n",
       "       'Springer International Publishing', 'IEEE', 'MDPI AG',\n",
       "       'Informa UK Limited', 'IOP Publishing',\n",
       "       'American Chemical Society (ACS)', 'Oxford University Press (OUP)',\n",
       "       'CAIRN', 'OpenEdition', 'AIP Publishing',\n",
       "       'Ovid Technologies (Wolters Kluwer Health)',\n",
       "       'American Physical Society (APS)',\n",
       "       'Institute of Electrical and Electronics Engineers (IEEE)',\n",
       "       'Frontiers Media SA', 'Royal Society of Chemistry (RSC)',\n",
       "       'EDP Sciences', 'SAGE Publications'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "publications_par_editeur.index"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Copier-coller la liste des éditeurs choisis** :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "filter = ['Elsevier BV', 'Springer Science and Business Media LLC', 'Wiley',\n",
    "       'Springer International Publishing', 'IEEE', 'MDPI AG',\n",
    "       'Informa UK Limited', 'IOP Publishing',\n",
    "       'American Chemical Society (ACS)', 'Oxford University Press (OUP)',\n",
    "       'CAIRN', 'OpenEdition', 'AIP Publishing',\n",
    "       'Ovid Technologies (Wolters Kluwer Health)',\n",
    "       'American Physical Society (APS)',\n",
    "       'Frontiers Media SA', 'Royal Society of Chemistry (RSC)',\n",
    "       'EDP Sciences', 'SAGE Publications'] \n",
    "\n",
    "editeurs_2019 = publications_2019[publications_2019['publisher'].isin(filter)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Quelle est la proportion d'accès ouvert, par type d'accès, des publications par éditeur dans l'année ?**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>oa_type</th>\n",
       "      <th>closed</th>\n",
       "      <th>publisher</th>\n",
       "      <th>publisher;repository</th>\n",
       "      <th>repository</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>editeurs</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AIP Publishing</th>\n",
       "      <td>33</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>22</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Chemical Society (ACS)</th>\n",
       "      <td>53</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>43</td>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Physical Society (APS)</th>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>40</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CAIRN</th>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EDP Sciences</th>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Elsevier BV</th>\n",
       "      <td>759</td>\n",
       "      <td>95</td>\n",
       "      <td>92</td>\n",
       "      <td>281</td>\n",
       "      <td>1227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Frontiers Media SA</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IEEE</th>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>48</td>\n",
       "      <td>150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IOP Publishing</th>\n",
       "      <td>23</td>\n",
       "      <td>16</td>\n",
       "      <td>13</td>\n",
       "      <td>53</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Informa UK Limited</th>\n",
       "      <td>86</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>15</td>\n",
       "      <td>113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MDPI AG</th>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>128</td>\n",
       "      <td>0</td>\n",
       "      <td>146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OpenEdition</th>\n",
       "      <td>11</td>\n",
       "      <td>36</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ovid Technologies (Wolters Kluwer Health)</th>\n",
       "      <td>38</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oxford University Press (OUP)</th>\n",
       "      <td>42</td>\n",
       "      <td>13</td>\n",
       "      <td>20</td>\n",
       "      <td>16</td>\n",
       "      <td>91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Royal Society of Chemistry (RSC)</th>\n",
       "      <td>17</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAGE Publications</th>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Springer International Publishing</th>\n",
       "      <td>88</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>73</td>\n",
       "      <td>171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Springer Science and Business Media LLC</th>\n",
       "      <td>198</td>\n",
       "      <td>34</td>\n",
       "      <td>126</td>\n",
       "      <td>112</td>\n",
       "      <td>470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wiley</th>\n",
       "      <td>145</td>\n",
       "      <td>24</td>\n",
       "      <td>59</td>\n",
       "      <td>75</td>\n",
       "      <td>303</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "oa_type                                    closed  publisher  \\\n",
       "editeurs                                                       \n",
       "AIP Publishing                                 33          4   \n",
       "American Chemical Society (ACS)                53          1   \n",
       "American Physical Society (APS)                 7          3   \n",
       "CAIRN                                          60          0   \n",
       "EDP Sciences                                    5          6   \n",
       "Elsevier BV                                   759         95   \n",
       "Frontiers Media SA                              0          1   \n",
       "IEEE                                          100          0   \n",
       "IOP Publishing                                 23         16   \n",
       "Informa UK Limited                             86          3   \n",
       "MDPI AG                                         0         18   \n",
       "OpenEdition                                    11         36   \n",
       "Ovid Technologies (Wolters Kluwer Health)      38          5   \n",
       "Oxford University Press (OUP)                  42         13   \n",
       "Royal Society of Chemistry (RSC)               17          2   \n",
       "SAGE Publications                              17          1   \n",
       "Springer International Publishing              88          8   \n",
       "Springer Science and Business Media LLC       198         34   \n",
       "Wiley                                         145         24   \n",
       "\n",
       "oa_type                                    publisher;repository  repository  \\\n",
       "editeurs                                                                      \n",
       "AIP Publishing                                                2          22   \n",
       "American Chemical Society (ACS)                               4          43   \n",
       "American Physical Society (APS)                               7          40   \n",
       "CAIRN                                                         0          18   \n",
       "EDP Sciences                                                 26           2   \n",
       "Elsevier BV                                                  92         281   \n",
       "Frontiers Media SA                                           44           0   \n",
       "IEEE                                                          2          48   \n",
       "IOP Publishing                                               13          53   \n",
       "Informa UK Limited                                            9          15   \n",
       "MDPI AG                                                     128           0   \n",
       "OpenEdition                                                  12           3   \n",
       "Ovid Technologies (Wolters Kluwer Health)                     7          10   \n",
       "Oxford University Press (OUP)                                20          16   \n",
       "Royal Society of Chemistry (RSC)                              7          16   \n",
       "SAGE Publications                                             9          10   \n",
       "Springer International Publishing                             2          73   \n",
       "Springer Science and Business Media LLC                     126         112   \n",
       "Wiley                                                        59          75   \n",
       "\n",
       "oa_type                                    Total  \n",
       "editeurs                                          \n",
       "AIP Publishing                                61  \n",
       "American Chemical Society (ACS)              101  \n",
       "American Physical Society (APS)               57  \n",
       "CAIRN                                         78  \n",
       "EDP Sciences                                  39  \n",
       "Elsevier BV                                 1227  \n",
       "Frontiers Media SA                            45  \n",
       "IEEE                                         150  \n",
       "IOP Publishing                               105  \n",
       "Informa UK Limited                           113  \n",
       "MDPI AG                                      146  \n",
       "OpenEdition                                   62  \n",
       "Ovid Technologies (Wolters Kluwer Health)     60  \n",
       "Oxford University Press (OUP)                 91  \n",
       "Royal Society of Chemistry (RSC)              42  \n",
       "SAGE Publications                             37  \n",
       "Springer International Publishing            171  \n",
       "Springer Science and Business Media LLC      470  \n",
       "Wiley                                        303  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_oa_editeur_global = pd.crosstab([editeurs_2019['publisher']],editeurs_2019['oa_type'])\n",
    "df_oa_editeur_global[\"Total\"] = publications_par_editeur\n",
    "\n",
    "# Renommer la colonne des éditeurs\n",
    "df_oa_editeur_global = df_oa_editeur_global.rename_axis('editeurs')\n",
    "df_oa_editeur_global"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>oa_type</th>\n",
       "      <th>closed</th>\n",
       "      <th>publisher</th>\n",
       "      <th>publisher;repository</th>\n",
       "      <th>repository</th>\n",
       "      <th>Total</th>\n",
       "      <th>y_label</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>y_label</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Frontiers Media SA - 45 publications</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>Frontiers Media SA - 45 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MDPI AG - 146 publications</th>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>128</td>\n",
       "      <td>0</td>\n",
       "      <td>146</td>\n",
       "      <td>MDPI AG - 146 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EDP Sciences - 39 publications</th>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "      <td>39</td>\n",
       "      <td>EDP Sciences - 39 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Physical Society (APS) - 57 publications</th>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>40</td>\n",
       "      <td>57</td>\n",
       "      <td>American Physical Society (APS) - 57 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OpenEdition - 62 publications</th>\n",
       "      <td>11</td>\n",
       "      <td>36</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>62</td>\n",
       "      <td>OpenEdition - 62 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAGE Publications - 37 publications</th>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>37</td>\n",
       "      <td>SAGE Publications - 37 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Royal Society of Chemistry (RSC) - 42 publications</th>\n",
       "      <td>17</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>42</td>\n",
       "      <td>Royal Society of Chemistry (RSC) - 42 publicat...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IOP Publishing - 105 publications</th>\n",
       "      <td>23</td>\n",
       "      <td>16</td>\n",
       "      <td>13</td>\n",
       "      <td>53</td>\n",
       "      <td>105</td>\n",
       "      <td>IOP Publishing - 105 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AIP Publishing - 61 publications</th>\n",
       "      <td>33</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>22</td>\n",
       "      <td>61</td>\n",
       "      <td>AIP Publishing - 61 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ovid Technologies (Wolters Kluwer Health) - 60 publications</th>\n",
       "      <td>38</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>60</td>\n",
       "      <td>Ovid Technologies (Wolters Kluwer Health) - 60...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oxford University Press (OUP) - 91 publications</th>\n",
       "      <td>42</td>\n",
       "      <td>13</td>\n",
       "      <td>20</td>\n",
       "      <td>16</td>\n",
       "      <td>91</td>\n",
       "      <td>Oxford University Press (OUP) - 91 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Chemical Society (ACS) - 101 publications</th>\n",
       "      <td>53</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>43</td>\n",
       "      <td>101</td>\n",
       "      <td>American Chemical Society (ACS) - 101 publicat...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CAIRN - 78 publications</th>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>78</td>\n",
       "      <td>CAIRN - 78 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Informa UK Limited - 113 publications</th>\n",
       "      <td>86</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>15</td>\n",
       "      <td>113</td>\n",
       "      <td>Informa UK Limited - 113 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Springer International Publishing - 171 publications</th>\n",
       "      <td>88</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>73</td>\n",
       "      <td>171</td>\n",
       "      <td>Springer International Publishing - 171 public...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IEEE - 150 publications</th>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>48</td>\n",
       "      <td>150</td>\n",
       "      <td>IEEE - 150 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wiley - 303 publications</th>\n",
       "      <td>145</td>\n",
       "      <td>24</td>\n",
       "      <td>59</td>\n",
       "      <td>75</td>\n",
       "      <td>303</td>\n",
       "      <td>Wiley - 303 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Springer Science and Business Media LLC - 470 publications</th>\n",
       "      <td>198</td>\n",
       "      <td>34</td>\n",
       "      <td>126</td>\n",
       "      <td>112</td>\n",
       "      <td>470</td>\n",
       "      <td>Springer Science and Business Media LLC - 470 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Elsevier BV - 1227 publications</th>\n",
       "      <td>759</td>\n",
       "      <td>95</td>\n",
       "      <td>92</td>\n",
       "      <td>281</td>\n",
       "      <td>1227</td>\n",
       "      <td>Elsevier BV - 1227 publications</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "oa_type                                             closed  publisher  \\\n",
       "y_label                                                                 \n",
       "Frontiers Media SA - 45 publications                     0          1   \n",
       "MDPI AG - 146 publications                               0         18   \n",
       "EDP Sciences - 39 publications                           5          6   \n",
       "American Physical Society (APS) - 57 publications        7          3   \n",
       "OpenEdition - 62 publications                           11         36   \n",
       "SAGE Publications - 37 publications                     17          1   \n",
       "Royal Society of Chemistry (RSC) - 42 publications      17          2   \n",
       "IOP Publishing - 105 publications                       23         16   \n",
       "AIP Publishing - 61 publications                        33          4   \n",
       "Ovid Technologies (Wolters Kluwer Health) - 60 ...      38          5   \n",
       "Oxford University Press (OUP) - 91 publications         42         13   \n",
       "American Chemical Society (ACS) - 101 publications      53          1   \n",
       "CAIRN - 78 publications                                 60          0   \n",
       "Informa UK Limited - 113 publications                   86          3   \n",
       "Springer International Publishing - 171 publica...      88          8   \n",
       "IEEE - 150 publications                                100          0   \n",
       "Wiley - 303 publications                               145         24   \n",
       "Springer Science and Business Media LLC - 470 p...     198         34   \n",
       "Elsevier BV - 1227 publications                        759         95   \n",
       "\n",
       "oa_type                                             publisher;repository  \\\n",
       "y_label                                                                    \n",
       "Frontiers Media SA - 45 publications                                  44   \n",
       "MDPI AG - 146 publications                                           128   \n",
       "EDP Sciences - 39 publications                                        26   \n",
       "American Physical Society (APS) - 57 publications                      7   \n",
       "OpenEdition - 62 publications                                         12   \n",
       "SAGE Publications - 37 publications                                    9   \n",
       "Royal Society of Chemistry (RSC) - 42 publications                     7   \n",
       "IOP Publishing - 105 publications                                     13   \n",
       "AIP Publishing - 61 publications                                       2   \n",
       "Ovid Technologies (Wolters Kluwer Health) - 60 ...                     7   \n",
       "Oxford University Press (OUP) - 91 publications                       20   \n",
       "American Chemical Society (ACS) - 101 publications                     4   \n",
       "CAIRN - 78 publications                                                0   \n",
       "Informa UK Limited - 113 publications                                  9   \n",
       "Springer International Publishing - 171 publica...                     2   \n",
       "IEEE - 150 publications                                                2   \n",
       "Wiley - 303 publications                                              59   \n",
       "Springer Science and Business Media LLC - 470 p...                   126   \n",
       "Elsevier BV - 1227 publications                                       92   \n",
       "\n",
       "oa_type                                             repository  Total  \\\n",
       "y_label                                                                 \n",
       "Frontiers Media SA - 45 publications                         0     45   \n",
       "MDPI AG - 146 publications                                   0    146   \n",
       "EDP Sciences - 39 publications                               2     39   \n",
       "American Physical Society (APS) - 57 publications           40     57   \n",
       "OpenEdition - 62 publications                                3     62   \n",
       "SAGE Publications - 37 publications                         10     37   \n",
       "Royal Society of Chemistry (RSC) - 42 publications          16     42   \n",
       "IOP Publishing - 105 publications                           53    105   \n",
       "AIP Publishing - 61 publications                            22     61   \n",
       "Ovid Technologies (Wolters Kluwer Health) - 60 ...          10     60   \n",
       "Oxford University Press (OUP) - 91 publications             16     91   \n",
       "American Chemical Society (ACS) - 101 publications          43    101   \n",
       "CAIRN - 78 publications                                     18     78   \n",
       "Informa UK Limited - 113 publications                       15    113   \n",
       "Springer International Publishing - 171 publica...          73    171   \n",
       "IEEE - 150 publications                                     48    150   \n",
       "Wiley - 303 publications                                    75    303   \n",
       "Springer Science and Business Media LLC - 470 p...         112    470   \n",
       "Elsevier BV - 1227 publications                            281   1227   \n",
       "\n",
       "oa_type                                                                                       y_label  \n",
       "y_label                                                                                                \n",
       "Frontiers Media SA - 45 publications                             Frontiers Media SA - 45 publications  \n",
       "MDPI AG - 146 publications                                                 MDPI AG - 146 publications  \n",
       "EDP Sciences - 39 publications                                         EDP Sciences - 39 publications  \n",
       "American Physical Society (APS) - 57 publications   American Physical Society (APS) - 57 publications  \n",
       "OpenEdition - 62 publications                                           OpenEdition - 62 publications  \n",
       "SAGE Publications - 37 publications                               SAGE Publications - 37 publications  \n",
       "Royal Society of Chemistry (RSC) - 42 publications  Royal Society of Chemistry (RSC) - 42 publicat...  \n",
       "IOP Publishing - 105 publications                                   IOP Publishing - 105 publications  \n",
       "AIP Publishing - 61 publications                                     AIP Publishing - 61 publications  \n",
       "Ovid Technologies (Wolters Kluwer Health) - 60 ...  Ovid Technologies (Wolters Kluwer Health) - 60...  \n",
       "Oxford University Press (OUP) - 91 publications       Oxford University Press (OUP) - 91 publications  \n",
       "American Chemical Society (ACS) - 101 publications  American Chemical Society (ACS) - 101 publicat...  \n",
       "CAIRN - 78 publications                                                       CAIRN - 78 publications  \n",
       "Informa UK Limited - 113 publications                           Informa UK Limited - 113 publications  \n",
       "Springer International Publishing - 171 publica...  Springer International Publishing - 171 public...  \n",
       "IEEE - 150 publications                                                       IEEE - 150 publications  \n",
       "Wiley - 303 publications                                                     Wiley - 303 publications  \n",
       "Springer Science and Business Media LLC - 470 p...  Springer Science and Business Media LLC - 470 ...  \n",
       "Elsevier BV - 1227 publications                                       Elsevier BV - 1227 publications  "
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_oa_editeur_global[\"y_label\"] = df_oa_editeur_global.index + \" - \" + df_oa_editeur_global[\"Total\"].apply(str) \\\n",
    "                                     + \" \" + \"publications\"\n",
    "df_oa_editeur_global.index = df_oa_editeur_global[\"y_label\"]\n",
    "df_oa_editeur_global = df_oa_editeur_global.sort_values(by='closed', ascending=True)\n",
    "df_oa_editeur_global"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Convertir le résultat en pourcentages**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "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>oa_type</th>\n",
       "      <th>closed</th>\n",
       "      <th>publisher</th>\n",
       "      <th>publisher;repository</th>\n",
       "      <th>repository</th>\n",
       "      <th>Total</th>\n",
       "      <th>y_label</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>y_label</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Frontiers Media SA - 45 publications</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2.2</td>\n",
       "      <td>97.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>45</td>\n",
       "      <td>Frontiers Media SA - 45 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MDPI AG - 146 publications</th>\n",
       "      <td>0.0</td>\n",
       "      <td>12.3</td>\n",
       "      <td>87.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>146</td>\n",
       "      <td>MDPI AG - 146 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Physical Society (APS) - 57 publications</th>\n",
       "      <td>12.3</td>\n",
       "      <td>5.3</td>\n",
       "      <td>12.3</td>\n",
       "      <td>70.2</td>\n",
       "      <td>57</td>\n",
       "      <td>American Physical Society (APS) - 57 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EDP Sciences - 39 publications</th>\n",
       "      <td>12.8</td>\n",
       "      <td>15.4</td>\n",
       "      <td>66.7</td>\n",
       "      <td>5.1</td>\n",
       "      <td>39</td>\n",
       "      <td>EDP Sciences - 39 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OpenEdition - 62 publications</th>\n",
       "      <td>17.7</td>\n",
       "      <td>58.1</td>\n",
       "      <td>19.4</td>\n",
       "      <td>4.8</td>\n",
       "      <td>62</td>\n",
       "      <td>OpenEdition - 62 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IOP Publishing - 105 publications</th>\n",
       "      <td>21.9</td>\n",
       "      <td>15.2</td>\n",
       "      <td>12.4</td>\n",
       "      <td>50.5</td>\n",
       "      <td>105</td>\n",
       "      <td>IOP Publishing - 105 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Royal Society of Chemistry (RSC) - 42 publications</th>\n",
       "      <td>40.5</td>\n",
       "      <td>4.8</td>\n",
       "      <td>16.7</td>\n",
       "      <td>38.1</td>\n",
       "      <td>42</td>\n",
       "      <td>Royal Society of Chemistry (RSC) - 42 publicat...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Springer Science and Business Media LLC - 470 publications</th>\n",
       "      <td>42.1</td>\n",
       "      <td>7.2</td>\n",
       "      <td>26.8</td>\n",
       "      <td>23.8</td>\n",
       "      <td>470</td>\n",
       "      <td>Springer Science and Business Media LLC - 470 ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SAGE Publications - 37 publications</th>\n",
       "      <td>45.9</td>\n",
       "      <td>2.7</td>\n",
       "      <td>24.3</td>\n",
       "      <td>27.0</td>\n",
       "      <td>37</td>\n",
       "      <td>SAGE Publications - 37 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oxford University Press (OUP) - 91 publications</th>\n",
       "      <td>46.2</td>\n",
       "      <td>14.3</td>\n",
       "      <td>22.0</td>\n",
       "      <td>17.6</td>\n",
       "      <td>91</td>\n",
       "      <td>Oxford University Press (OUP) - 91 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wiley - 303 publications</th>\n",
       "      <td>47.9</td>\n",
       "      <td>7.9</td>\n",
       "      <td>19.5</td>\n",
       "      <td>24.8</td>\n",
       "      <td>303</td>\n",
       "      <td>Wiley - 303 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Springer International Publishing - 171 publications</th>\n",
       "      <td>51.5</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.2</td>\n",
       "      <td>42.7</td>\n",
       "      <td>171</td>\n",
       "      <td>Springer International Publishing - 171 public...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Chemical Society (ACS) - 101 publications</th>\n",
       "      <td>52.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>42.6</td>\n",
       "      <td>101</td>\n",
       "      <td>American Chemical Society (ACS) - 101 publicat...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AIP Publishing - 61 publications</th>\n",
       "      <td>54.1</td>\n",
       "      <td>6.6</td>\n",
       "      <td>3.3</td>\n",
       "      <td>36.1</td>\n",
       "      <td>61</td>\n",
       "      <td>AIP Publishing - 61 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Elsevier BV - 1227 publications</th>\n",
       "      <td>61.9</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.5</td>\n",
       "      <td>22.9</td>\n",
       "      <td>1227</td>\n",
       "      <td>Elsevier BV - 1227 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ovid Technologies (Wolters Kluwer Health) - 60 publications</th>\n",
       "      <td>63.3</td>\n",
       "      <td>8.3</td>\n",
       "      <td>11.7</td>\n",
       "      <td>16.7</td>\n",
       "      <td>60</td>\n",
       "      <td>Ovid Technologies (Wolters Kluwer Health) - 60...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IEEE - 150 publications</th>\n",
       "      <td>66.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>32.0</td>\n",
       "      <td>150</td>\n",
       "      <td>IEEE - 150 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Informa UK Limited - 113 publications</th>\n",
       "      <td>76.1</td>\n",
       "      <td>2.7</td>\n",
       "      <td>8.0</td>\n",
       "      <td>13.3</td>\n",
       "      <td>113</td>\n",
       "      <td>Informa UK Limited - 113 publications</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CAIRN - 78 publications</th>\n",
       "      <td>76.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.1</td>\n",
       "      <td>78</td>\n",
       "      <td>CAIRN - 78 publications</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "oa_type                                             closed  publisher  \\\n",
       "y_label                                                                 \n",
       "Frontiers Media SA - 45 publications                   0.0        2.2   \n",
       "MDPI AG - 146 publications                             0.0       12.3   \n",
       "American Physical Society (APS) - 57 publications     12.3        5.3   \n",
       "EDP Sciences - 39 publications                        12.8       15.4   \n",
       "OpenEdition - 62 publications                         17.7       58.1   \n",
       "IOP Publishing - 105 publications                     21.9       15.2   \n",
       "Royal Society of Chemistry (RSC) - 42 publications    40.5        4.8   \n",
       "Springer Science and Business Media LLC - 470 p...    42.1        7.2   \n",
       "SAGE Publications - 37 publications                   45.9        2.7   \n",
       "Oxford University Press (OUP) - 91 publications       46.2       14.3   \n",
       "Wiley - 303 publications                              47.9        7.9   \n",
       "Springer International Publishing - 171 publica...    51.5        4.7   \n",
       "American Chemical Society (ACS) - 101 publications    52.5        1.0   \n",
       "AIP Publishing - 61 publications                      54.1        6.6   \n",
       "Elsevier BV - 1227 publications                       61.9        7.7   \n",
       "Ovid Technologies (Wolters Kluwer Health) - 60 ...    63.3        8.3   \n",
       "IEEE - 150 publications                               66.7        0.0   \n",
       "Informa UK Limited - 113 publications                 76.1        2.7   \n",
       "CAIRN - 78 publications                               76.9        0.0   \n",
       "\n",
       "oa_type                                             publisher;repository  \\\n",
       "y_label                                                                    \n",
       "Frontiers Media SA - 45 publications                                97.8   \n",
       "MDPI AG - 146 publications                                          87.7   \n",
       "American Physical Society (APS) - 57 publications                   12.3   \n",
       "EDP Sciences - 39 publications                                      66.7   \n",
       "OpenEdition - 62 publications                                       19.4   \n",
       "IOP Publishing - 105 publications                                   12.4   \n",
       "Royal Society of Chemistry (RSC) - 42 publications                  16.7   \n",
       "Springer Science and Business Media LLC - 470 p...                  26.8   \n",
       "SAGE Publications - 37 publications                                 24.3   \n",
       "Oxford University Press (OUP) - 91 publications                     22.0   \n",
       "Wiley - 303 publications                                            19.5   \n",
       "Springer International Publishing - 171 publica...                   1.2   \n",
       "American Chemical Society (ACS) - 101 publications                   4.0   \n",
       "AIP Publishing - 61 publications                                     3.3   \n",
       "Elsevier BV - 1227 publications                                      7.5   \n",
       "Ovid Technologies (Wolters Kluwer Health) - 60 ...                  11.7   \n",
       "IEEE - 150 publications                                              1.3   \n",
       "Informa UK Limited - 113 publications                                8.0   \n",
       "CAIRN - 78 publications                                              0.0   \n",
       "\n",
       "oa_type                                             repository  Total  \\\n",
       "y_label                                                                 \n",
       "Frontiers Media SA - 45 publications                       0.0     45   \n",
       "MDPI AG - 146 publications                                 0.0    146   \n",
       "American Physical Society (APS) - 57 publications         70.2     57   \n",
       "EDP Sciences - 39 publications                             5.1     39   \n",
       "OpenEdition - 62 publications                              4.8     62   \n",
       "IOP Publishing - 105 publications                         50.5    105   \n",
       "Royal Society of Chemistry (RSC) - 42 publications        38.1     42   \n",
       "Springer Science and Business Media LLC - 470 p...        23.8    470   \n",
       "SAGE Publications - 37 publications                       27.0     37   \n",
       "Oxford University Press (OUP) - 91 publications           17.6     91   \n",
       "Wiley - 303 publications                                  24.8    303   \n",
       "Springer International Publishing - 171 publica...        42.7    171   \n",
       "American Chemical Society (ACS) - 101 publications        42.6    101   \n",
       "AIP Publishing - 61 publications                          36.1     61   \n",
       "Elsevier BV - 1227 publications                           22.9   1227   \n",
       "Ovid Technologies (Wolters Kluwer Health) - 60 ...        16.7     60   \n",
       "IEEE - 150 publications                                   32.0    150   \n",
       "Informa UK Limited - 113 publications                     13.3    113   \n",
       "CAIRN - 78 publications                                   23.1     78   \n",
       "\n",
       "oa_type                                                                                       y_label  \n",
       "y_label                                                                                                \n",
       "Frontiers Media SA - 45 publications                             Frontiers Media SA - 45 publications  \n",
       "MDPI AG - 146 publications                                                 MDPI AG - 146 publications  \n",
       "American Physical Society (APS) - 57 publications   American Physical Society (APS) - 57 publications  \n",
       "EDP Sciences - 39 publications                                         EDP Sciences - 39 publications  \n",
       "OpenEdition - 62 publications                                           OpenEdition - 62 publications  \n",
       "IOP Publishing - 105 publications                                   IOP Publishing - 105 publications  \n",
       "Royal Society of Chemistry (RSC) - 42 publications  Royal Society of Chemistry (RSC) - 42 publicat...  \n",
       "Springer Science and Business Media LLC - 470 p...  Springer Science and Business Media LLC - 470 ...  \n",
       "SAGE Publications - 37 publications                               SAGE Publications - 37 publications  \n",
       "Oxford University Press (OUP) - 91 publications       Oxford University Press (OUP) - 91 publications  \n",
       "Wiley - 303 publications                                                     Wiley - 303 publications  \n",
       "Springer International Publishing - 171 publica...  Springer International Publishing - 171 public...  \n",
       "American Chemical Society (ACS) - 101 publications  American Chemical Society (ACS) - 101 publicat...  \n",
       "AIP Publishing - 61 publications                                     AIP Publishing - 61 publications  \n",
       "Elsevier BV - 1227 publications                                       Elsevier BV - 1227 publications  \n",
       "Ovid Technologies (Wolters Kluwer Health) - 60 ...  Ovid Technologies (Wolters Kluwer Health) - 60...  \n",
       "IEEE - 150 publications                                                       IEEE - 150 publications  \n",
       "Informa UK Limited - 113 publications                           Informa UK Limited - 113 publications  \n",
       "CAIRN - 78 publications                                                       CAIRN - 78 publications  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_oa_editeur = pd.crosstab([editeurs_2019['publisher']],editeurs_2019['oa_type'])\n",
    "df_oa_editeur = (df_oa_editeur.T / df_oa_editeur.T.sum()).mul(100).round(1)\n",
    "df_oa_editeur = df_oa_editeur.T\n",
    "df_oa_editeur[\"Total\"] = publications_par_editeur\n",
    "df_oa_editeur[\"y_label\"] = df_oa_editeur.index + \" - \" + df_oa_editeur[\"Total\"].apply(str) \\\n",
    "                                     + \" \" + \"publications\"\n",
    "df_oa_editeur.index = df_oa_editeur[\"y_label\"]\n",
    "df_oa_editeur = df_oa_editeur.sort_values(by='closed', ascending=True)\n",
    "df_oa_editeur"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Générer le graphique**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Les légendes sont nativement en anglais. Elles ont été renommées ici, mais attention, pour une réutilisation avec d'autres\n",
    "données, il est conseillé d'enlever d'abord la liste  [\"Accès fermé\", \"Editeur\"...] à la ligne plt.legend et de générer le graphique une 1ère fois pour voir quels types de documents ressortent et dans quel ordre. On peut toujours renommer la légende dans un 2ème temps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.ticker as mtick\n",
    "\n",
    "ax = df_oa_editeur.drop([\"Total\", \"y_label\"], axis=1).plot(kind=\"barh\", stacked=True, figsize=(15, 15), color=['tomato','gold','greenyellow','seagreen'])\n",
    "ax.xaxis.set_major_formatter(mtick.PercentFormatter())\n",
    "\n",
    "labels = []\n",
    "for j in df_oa_editeur.columns:\n",
    "    for i in df_oa_editeur.index:\n",
    "        label = str(df_oa_editeur.loc[i][j]) + \"%\"\n",
    "        labels.append(label)\n",
    "\n",
    "patches = ax.patches\n",
    "\n",
    "for label, rect in zip(labels, patches):\n",
    "    width = rect.get_width()\n",
    "    if width > 0:\n",
    "        x = rect.get_x()\n",
    "        y = rect.get_y()\n",
    "        height = rect.get_height()\n",
    "        ax.text(x + width/2., y + height/2., label, ha='center', va='center', fontsize=15)\n",
    "        \n",
    "plt.gca().invert_yaxis()\n",
    "\n",
    "plt.tick_params(axis = 'both', labelsize = 20)\n",
    "\n",
    "plt.xlabel(\"Nombre total de publications recensées et proportions par type d'accès ouvert\", fontsize=20)  \n",
    "plt.ylabel(None, fontsize = 15)\n",
    "\n",
    "# Les légendes sont nativement en anglais. Elles ont été renommées ici, mais attention, pour une réutilisation avec d'autres\n",
    "# données, il est conseillé d'enlever cette liste [\"Accès fermé\", \"Editeur\"...] et de générer le graphique une 1ère\n",
    "# fois pour voir quels types de documents ressortent et dans quel ordre. On peut toujours renommer la légende dans un 2ème \n",
    "# temps.\n",
    "\n",
    "plt.legend(['Accès fermé', 'Editeur', 'Editeur & Archive ouverte', 'Archive ouverte'],\n",
    "              loc = 'best', ncol = 1,\n",
    "              frameon = True, markerscale = 2, title = None,\n",
    "              borderpad = 0.3, labelspacing = 0.3, bbox_to_anchor=(1, 0.1))\n",
    "\n",
    "plt.title(\"Taux d'accès ouvert aux publications 2019 par éditeur/plateforme\", fontsize = 25, x = 0.49, y = 1.02,\n",
    "          fontweight = 'bold', alpha = 0.6)\n",
    "plt.savefig('Data/outputs/2019_taux_type_oa_editeur.png', dpi=100, bbox_inches='tight', pad_inches=0.9)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Variante du code pour des établissements travaillant avec de petits jeux de données (n'est pas pertinent pour les grands jeux de données comme celui de l'Université de lorraine) :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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+bW+7U3lfeTj3ueilRFFmVdGwwUT14/byEuUBqS7A8WZ2DVFbYTPKs+dL2qPH4a7E9fQa4p4wlDj/s8HSbYlzMntsvkOcs5OJwPAC4r7Wi7gPfICmYIQRLwtbqr3QhbgW30RTUGsz4rhpUaY8kn0ZMpeoaTCNuL/sQwTESvYxs4fc/bk0jx7kgvE0Hf9PEUHRD9P2F5+lDsW+SmR2lzxI5bW+lB29G02BP4jr0O3AY8Q+3Ig4TtZP3/chXvCe28Z1rVUXopx6M1EOG0ju/E4vS0rX9ymZ8lg1XYmy4LVEu7KbAh+j6Z4JcX39T51N+3ia3yTi+rQg/XUlzqs9KX+xNcrMNkrLWEpcwwH+hyinltxClCOzyyk5mPLOdt4lttWTaZ6bEeXGUkb4YCL7+e/pc63HTOma1VFl0C7ES51/Ec0U9KXymp9lafwriargh1L+srz0jDGFuF8tI174Zcuko8ysT66mwKcor0b/Bk3nehei/eMP03Qv2InInJ+ASBUKXopIu3H3C5r5+sX0VvNDmWHN3Uzbui5vmdnFlLf58zHKH5jeAS5sTXs8lFcXhQgQ/SZT5eGVVFD/EG2Q2jCq9uD6skXbYd/KDBtmZj09Oo+ACC5tlJvuQXfPV2l/BbjHoq2jkl2pzAC7qaBq+tRUvatHZti+lFcJfA34babtpFfN7EWiE6hSIKo3UU2+VLDMP9zmC7/TiYeC6wuyYJqVxs/vwyfd/cLM52npLfD7M8M2Jgpsz9WzvBrcR3nwcoyZXZ0poO5KedDjpdy2yAcuJ7j7JZnPs83sJeBsmrbrRkRwqLlqSMuBX+eqA01N/75jZkWBgzcLqjDWbC27jhR5IbcNpqbzMvtAP9zM1nf32e20zOb8O3vOm9kU4AzKX5rsQfsHL/PH9HzgZ7nqurOBJ1JgcCV3fwH4SZX5TjezycBvaQqidCUChZNSNvPclF2ft6AN1QR3pfwhGuBid8++bHoWOJPywNR+NB+8hLgul8aZlY6X4zLf9yYCkqV1r3ghlWtGYhbxwH5rvdfWlpjZJkTwLet5Kqun5quRQ3EvvUXD8tu5rR4mXv5kg5E7p7/mFP2G1rggs39mmNkrNAVKSvYgE7x096uamd80M1tCZFSV1HodvczdH8h8zleXb06p3esSJ8oF2fvLiykbMfviYl+a7rmjqdy/17v7f0rrY2bPEy93Wn0ceGoP3syW5b56p5lrQP6adVu2rVWi3PMa8IPMsO3NbFBbqx/XaDZxP1+W+ZyvLbANTVl7tfQy7sDv3P3V9HmGmc0lqiFn7Q5cX+uKerSlfHqVr2cCT6Zs4WzwbyuiDWAnXevMLB/kW1TH/rsq15zCLDNbTGQhluyVymrv1nPMdHAZdCFwdiaQOJsIWlfjRNMpr6V1u4bKmj5LgP8rBbPN7DqiXfCVPymt25T0/QaUN//jwDml9jOTV1ItluzL2f1Q8FKaoeCliLQrM9uGeEjbjChUrEN5ECurPbISqnL3J1JQrVQgyT+wXVZqv64eqdCRrwbxcEFbLffSxuBlWt4GROBiJJFB14vq1TiNeCtcCl4WVfH6R7Vl5d6y56ddQry1LppuBeUZdvmMqe7AiQU1QvIFy5E0BS9fzs3nmyno8CpRGJtZCt5kgrW1GkHl8XBPwXh3U15wJK1TewcvnyDexpeCxQOI7V/qKCNfkLwv9zn/4DmmqAmBAlvRfPDy4aJ2jDra2nAdaUZ+30JcS/bKDduCOA86Wtn6uPsKM3uA8rZ4+7fnA7iZrU9ltdI7C9oZLK1TUQdUfYhs8m1p6rCkB9WrV3focUTlObqIyjYcl5vZ/ZRnlg02s4FevWMkJ7J0s14tGK83TcHLfEcoR6VzbgbxomkWMMPdl7fi2lpVqjL8VcqDSrOJzm/y94Ki/VRrlcJ2y4yHqCFhZucB/4/qVSdLy82uY3u03/Zmvn1id5+TAt3ZWgcV1T4tOrraI303mAhKVXv262tm3TKBrSJziSyy1sqfA+8CHy8oF+QzqbMZXkXVZvPXqHfM7FFqq77dLlJG6PDc4EPN7NAaJt+SGrNX2+jWFvYvNGWOOrUFL1/IBC5jQvfnUpA2+4KrlmYJylhTp07bE81j9KeDruHpnpM/tz9l0d5sc7oT+73eMmFHlkHH1dJWcsZL2XJeemm7jPJrxcTc80FRuTB7Xc+f6wacXkOt8BFm1qUdXwbLGkbBSxFpFynL8PNE5lytamn3q62uId7+bZgbPsHdx7dynv1oub0uiOpk+QJAXSzajTyS+toozmbK5AMAC7xKD/MF8tPOqqMx7Xwhct2CYUWymZ63EY2xr5v5bs/syCnzbzzRq2092X5F7W29XjBsHpX7MN+JRJuloMVDRFXZkt2AZ1KhetPM8KVkqlimc6/uNkmTln7LquxMYG27jlRT9BBbNKy5IEp7WZnBklN0vetfZdzWKDo/X651Yos2Hb9MfZlXHX0c5c+1uVWq/hVt24FUrwa9oCB4W5SNmL2HPEE0R1IKfnWnMpNwqUWnQTe7ez3ZdYXM7D1EO9DZF28zicy7ogzuioA0xS/tehQMa6mqa93cfbqZnU5UqdyFpuxYJ37HOGL7ZZsjaHUGeka1FyP54WXXAzP7GOX3k1qsQ9zvqpnexiZT8ud1D8prHFTTv8r/ITLpivZ3e75QqkV/ag+u57V7maKKZq+hKcuv1H7ltGZemGRV285zKQ9e1nW/sugQ8yTqC0i25RrelpdXrdl/HVkGrbfcVrTcpbll5vdzS/eY1rY73JWo5j6/ldPLGk7BSxFpLwdQX8ChVkVBu74Fw6pZj8q3+BDVq9dJbU7Wq6iA2q6ZHrAya+KoKstbU618OE1tQZ5FHFvvIQJH+W1RqnIy2sx+3Mr92d7KjtkUkKul+uB9lD9svsfM/k5l1uUj7ZgNVS2Dt6Q9242rxdp0HammPa4lbf29Lenoa2Crr3kpW+eL1F9ldHW9zhYFyJrNWkntuZ5DZKbuTmSz5Z8JehBBulJPsq1+kZFewuXvZVPIVEMsUBQI71cwvOjFTYcErlI203XAdakGRk9gccrMNCrbYpzREeuRVD1ezWxn6g9cNjvPpDDzeRVo7nm12nVndTqfiwLwWa0tU+S1tP+2oCnIWEvWZT3qvT98gfoDip21z1vaf6taveW2omtwfn+1+wuhZrRULpW1mIKXItJe8gGWBUT7NtNouuntQ3RIUE3RA1dZoSA9IAwtGK+CmXUlCkBFb2OHEg2lX1zLvHLmU1k9rKjHyAG07To7JreMFUTj4ZOIB1YnGlv/SuWkK+ULMf3MbN0asy/z025oZt1rzL6cR3nB8+FcWz41SQ+L/wL+ldqgG0pTRz1jadq3Q4ntVVTlttr65Q2hsv2ugVTuw+wDQFGHHfmC7BBqyJx195lmNpWmqme9iKyUZquMp2q8CyjPbBhHy+3kQTQF0JxVXXVnbbqOVDOYynbIijovyWYm5I/DbgVVr9anfpaWnc/MqLUzldYquj4No7xDkmq2pjLLZzxRJW8eTdvqdFbtQ2c+cDDIzKwgk62o1+p2DxqlY+Meoq3jrmm5Q4h2y/bNrEd3oiOLi+pdRjrPjqayLbkHgb+1UIV1asGwjQqGb5z7/FaNGWNtkl4gZV8ibUdlIDV/HrdG0fEAledg9npQ1F7dDUTAeDFRdhhN/b1At/V+kD+O3wK+W2c2Z/4608fMehUEwYuuUR1pAZXlwuup7IiqSHbd261MUaCl/ZftbKjW4GWtx2fN94eUdZk/r58E/ku8mChdN06mxvt4DYquGRcR7fG2pDUZ1u1VBi3SCFWu879vOdFOb1HGZl6ttcNkLdSaC5+ISJF8FYF73f0+d5+e2kF7g+K2ilZKQbH8w0y+muZOBcuq5qOU9ziZfXCFaGi77iyv9NCSb1Ns19SRSFZb21vKv3V+yd3/5e5T3X1O2q7DWphH0cNTPjtkJSvvsCc/7TpElbmi6SzXsUO+HcXRZla1kGlm3c1s3+w8zKysaoy7L3H3V9z90dQIfr5R7/yx0pwXqCzg7VMw3r4Fw7JtDRW9jc63hzq29tWqCL5+lPLC+Wueel3NyW/v7YmMoLlFf8SDxJZ1VrUvUhR8aMtb87XmOtKM9xYMK7qWvJT5f/44NCqDlWPbY31S1s+euXHmt2eHE6kt2/zDz/5mVlj1MNdhT36/OtExzhR3fy2t5yBaDlzWEkSoR/4cLXVQtlIKIubbNp1TR1MfNTGzPha9CgPRbIW7z3b3ye5+K5W9KeevabUsoztwIpWBy5vc/S81tL33PJUP6bvkljGA8vYQIdeOaHsxs75WpcG21OnEJ3KDZ9PUZnFbrGtm2aromNlgKtukzl4P8ufARHf/b7p/lsoOw9th3eqVL1MMILdPs1K5Ygczy5ZzXioYNX+N6knU1mgP+etA4f0tZd9PzQ3ekQimV7sPLwa2yDX70N5linqUgpezvbxjleaMSO2yr2RmW1IZVCzab9UU3ZuvcPcn03VqLlG9uFrgNCt/nalWPplNZVXlnartu7QOy4BNWlnzor3KoI0qf7/rCmzTwvbsDQxQe5fSHGVeikh7WUB5Oyy7W/Ru/CpR3fIAynueq2Y65YXq/VPD38+n4R+rZWXMbFsiW6TEgT8TDzrZjiY+ZWYvteLB+yEiqFHSH/iGmf2LeAs7GvhAnfPMy7+p3szMxhIPAD2JB98D8xPlPEN0vpAN3uxlZn2Bu4hGt3sQbSq+l8iIuTeN9zDxG7PVTT9k0RPo/cTb0Z7EftmPaBew1LHAPUS1tVInKz2Bb5nZbcCLRG+IvYlMmq2JQn4v4NHMsj6Y9uMTaZrXiYJ9NyKAle/pteYCZGrQ/yHKgzCjzOwLRAPpS9I65TP8ZlD+Jn4mUQDNvgz8ZKru/QbxYJZ/eG/OeOIYLwVJ8g8t1TJLx1EeCBkMfCdt7+lEhlBfYntvQxyfRts6X4DibIqDzewemt6wv1VDoCI7v7XpOlJkhJl9CbiT6NBiVyoDWtNynSQUtUn4OTO7mmg7cB+a2jKr12FmthyYSJyzh1D5YNrW46jIOCqvsd83s1uI/bicOM53JAK1v0nj5QPyRnRIcx+x/7Yieo5ulrsvM7N3KG9DeC8zm5VZxsI6mnAoXU+zgdbPpMDXFCJr7/1UPpDfVeP867EdcExq03IKcX6VftP6xD7Oquvh3KKzpK9T+aLhRuB+MyvKinN3fyPzYYWZ/Rc4IjPO9mZ2FHH/6ZO+yz7LLCPOm/z69EzjlxRVNR+QW68F7p7NEtoL2NvMxhPbbB7xQm9LYnvlXzZe38b2IbO+YNED8DTi3DuKygSU7DmYvy5vb2a7pen7E78l/wJiVXiaCBJlX6wcn5rImUQEq3sQGWgjiHv8IOCPNLXX+ARxTcueR4enlypPEfePj9B+Pc7nt+Uoi86t5hDXk6WZNlvHUX7Mb0GUe/5LnGPvEtt/Y+Ic3I4o12SzM9u7TFGTlO1Yuq7XU2XcgP+Xjs9ZxAv1ovtrPfeIonLFR8zsdqJcMZzoDLOWJKx8mWKMmT1DHGtO9AS+MDWlcRflnWy+x8xOIq7Br6fxBxA1nrYnyq5PEvfGurRjGbQhufuraTtny2sfN7MNiXL+m8S1exDxcnhH4jnkWqK8L1JIwUsRaS+PETf0kvWorM78Fi03ND2e8qBDd+DY3Dj5qjll0sPg53Lj/Mfdp5jZ80TgptTzYW/iIf9Xdb7tu5N4I5ptB28EUY0lu57NrmsLHiOCNSXdqKzm1ew2TQ+AFwPfpDxraIf0l7eygJkKV38jsmeyv2GP9FeVu79uZv8gOhsqGQh8vLnpCgwhArQtBWkhHn7qcR1R+Mzuw13TX5F3gUuzD6RpG02iPDA0iHhwz6rpOPCmXlKLtu8K4IEq0z1nZuMoz8jYEDiumcW1RzuNs4jAaDbAk99fP6Wyd+Nq1rbrSJGlxANqtYwkJ14UNA1wn2Vm0ynfdsOAb+Wmq/daVDrWP0j1gN8CamuioF7/IbbxiMyw9YCi3l9fyPz/GeIlRzaLfH/KH/gXEedzS1nCLwCjMp+3Bk7NfL6WGn+7uy9KAYgvZAb3IKpVV/MicEct82+FPtRwLU/qvbaOoDhDurnjaAnRQUfW7UQAK4NY2UEAACAASURBVDuvgyl/oZB1g2d6zc3Yk8rMyLyv5j7/kfKXaRBBtw/Rslvd/bEaxqvFUmJfNXctf4byJhUeo/ye1JvoCC2rlutou0rlkUuAb9D0DNqdCP7mA+bV5rHUzG6kvCzRjShrZMsb+QBga71I+bYcSKx/ySTgvPT/h0jtxGa+34I6etpu7zJFHVpTZRzi+FwP+FIz49zv7jPrmOd0IjicfZEzhvIXtMuIl+DZlxJFXqT8vrgR8J3M53HA5en/txH3nOGZ70dRfg9oT20ugza4vwPfpWkfdSESHfbrtDWS1Z6qjYtIe7md4jaqSp4Abq1hPnfR/Fu3h2n5Qep4yts8mwn8A1a283UR5YGbkUTGS81Sts3vqd6OjwNXUNxjaq3LmEIUrKp5DfhrDfN5CfgtregJ2N0fB86nFW36uPttRKGw1h7KF9B8T6dVF0U8tE6tayL3+cCvqK0X4/nAOe5edGxeTfPHwVXUdxxUy66c7O7NtXV0BdEmaq3BszZXRU0Zle0ZuFqrriNVXEL1feNE9bl8lSyAy6jentS7ab71Wpqmq3ZMLSY6XWnP9i6BldX/z6XOasAebd9dSvV1XkIEpmppe+vfzcynbu7+MJXHTTWTgfPqyFruKJOItuZWuXSe/Y6Wq18vJzIdOyKIXo8lwFWpWZP28izNX/NmAhfmAhoP0nw22FTivrXKufvzxD6t9f7zLhGkyrqDyE6rZiZxL2wP91Fjz8dpH1xA1DypVdF2aO8yRS1Kwcu3qK+K9wPEy8JqphBlk5ql7fhXql+jlxP3pVo65vpPM/PJL3cpcA71ZVK2uhzVjmXQhpSaf/kV8ZK7FsvpvE7BZDWhzEsRaRcevW2eTWRE7EZkzC0jblr3E4W5sTXMZ5mZ/ZZoW3EM8cZ5KXFzv8vdHzWzE6pNb2YHEtU5SpYDF2UfAFNW4NWUZ2J9wMyedvdsBk9L6zrdzM4kAhY7EFkMi4lsnVvd/UUzq9q+ZI3LuNzMXiC23SbES6e5RGbFvynuAbloPi+Y2Q+JbboTkZXVL81vAVEl5hmi2lV+2olmdhqRobM9UbWj9CZ1PlEN7GkKCmDuPi5lEu5NVB/ZkKbqXAvTtFPTcp/NZa39M63TCOJNeP+0zj2Ih8Q5xLa+11vZE667zzGznxHbZExaTmm7LAJeIR7e76/WrlE6nn5GZBSVOm1YSBTab3X3l82sniYEniP2R74TqPtb+C0O3JCqx+5NvNEfSmzv5UQA+lUiqPck7VQ1x91vMrN5RLMDGxNVKVuVEbI2XkcKvAacCRxGZJ2tRxzvzxPHU+G80/Xm50RzFVsR+30+cW79m3goaC57q5C7329mr6T12ZI49xcQwbWbvJ3bY8wtezFwgZkNJ7LnRhD7sidxfs4jjuNHc9NNMLM30jqPTOPPJ65Tt7j7a1WaL8wvf4qZ/ZrICtuc+O1tevHv7g+Z2VPEObodcU3sQwRp3iKuaQ+6e3u0l1jNRCKANCL9rUtct3ql9ZhHnCsPA090ZqZPOgZ+Y2Y70dQzej/iuvAmsU/HpQfljvQo0QzK1sR1qS+RNVi6jz1J3Is6IpB/nZlNIWpiDCeusa8T7T7flqveXupN/nziWrkXcYytSNOMJ4LRZe1orkrpvPoBcY3fkSiP9CW27+K0nq+QMkrzTTOk4/EyM3uayKgeRpyXc0jbhLa3OV5a1oJ0Xf0gse+b7YgxvXS51MzuJO6JI4kMwl7EMTufuJ+9kH5bRdmlA8oUzTKzdWlq13linee7u/ufzWwy0TzJJsT2eZW4Z49rTW2EVJvkp0S16W2Ja+TbNN0Hp6X7dEvzmW1mv0jzGUmUI6tewz06ifw/MxtBlHlL18eeNF0bZ6b1eKJKpnfN2qMM2sjcfUZ6TnoPUZ4ZTvy+7kStnblEVfhnie3Z1nbYZQ1nq0/msYiIiMiaI7Uz9qPc4J+6e63V7EVkDZJeqmQ7m5nk7udVG1+krcxsf5qaVTjH3Z9sZtxTKe/Abpy7X15tfBGR9qRq4yIiIiIiIiJrn1KV8Xeo7BFeRKRhqNq4iIiIiIiIyNrnWaIa9OsN0MauiEhVCl6KiIiIiIiIrGXcvb06NxIR6VCqNi4iIiIiIiIiIiINSR32iIiIiIiIiIiISENS5qWIiIiIiIiIiIg0JAUvRUREREREREREpCEpeCkiIiIiIiIiIiINScFLERERERERERERaUgKXoqIiIiIiIiIiEhDUvBSREREREREREREGpKClyIiIiIiIiIiItKQFLwUERERERERERGRhqTgpYiIiIiIiIiIiDQkBS9FRERERERERESkISl4KSIiIiIiIiIiIg1JwUsRERERERERERFpSApeioiIiIiIiIiISENS8FJEREREREREREQakoKXIiIiIiIiIiIi0pC6dfYKiIisCoMHD/bhw4d39mqIiIiIiIh0ikceeWSOuw/p7PUQqZeClyKyVhg+fDgTJkzo7NUQERERERHpFGY2rbPXQaQ1VG1cREREREREREREGpKClyIiIiIiIiIiItKQFLwUERERERERERGRhqTgpYiIiIiIiIiIiDQkBS9FRERERERERESkISl4KSIiIiIiIiIiIg1JwUsRERERERERERFpSApeioiIiIiIiIiISENS8FJEREREREREREQaUrfOXgERkVVhHk9xHTut0mUeweOrdHkiIiIiIiIiaxplXoqIiIiIiIiIiEhDUvBSREREREREREREGpKClyIiIiIiIiIiItKQFLwUkTWWmW1iZuea2QMvPrqYI20ir01d2uw0Zx32IkfaRP7+P7OqjvOHE17hSJvI746d1t6rLCIiIiIiIiIZCl6KyJpsJPBx4M2e/Vq+3N1z+ZtMnbi42XGeuX8h91w2j979dfkUERERERER6Wh6+haRNdnd7r6+u7+/77pdmx1x4bzl/PUbMzn+1xtVHWfZu84fvjSdI08bSp8W5iciIiIiIiIibafgpWBmy83s8czf8Haa78lm1jvz+WYzG9ge887M83gzczM7MDPs8DTsqDrmM9zMJqf/jzGzc+qYtouZnWNmk81skpk9bGabZ77fOa3PobXOs2AZ/c1shpmdlxk2zsyezey3oa2df25ZU81scMHw083slPT/M83soFbMe7iZfTLzua5tXS93X1HruJd8ZyabjurJPsesW3WcG375GiuWOx/61pB2WT8RERERERERaV63zl4BaQiL3X2nal+aWTd3X9aK+Z4MXAosAnD399czsZl1dfflNYw6CTgG+G/6/AlgYj3LynL3CcCEOiY5GtgI2MHdV5jZJsDCzPfHAPemf29t5WqdBdxVMPxTaX1XKXf/YSsnHQ58Evh7mk+927pDPH3v29x1yZv8auJWVcd59YUlXPPj2Zx60xZ076H3PiIiIiIiIiKrgp7ApVDKaLzazP4F3Gbhl5nswqPTeGNTBuA1ZvaMmV2Wxj2JCOjdaWZ3pnFXZvSZ2bFmNj5lDP7RzLqm4W+nrL6HgD3N7Odm9pSZPWFmZ1dZ3XuA3cysu5n1Jdo5fDzzW3Yxs7vM7BEzu9XMNswMn2hmDwBfzYw/1sxuTP/fzczuN7PH0r9bFyx/Q2BWKcvP3ae7+5tpegOOAo4HDjGznq3YF7sA6wO3tWLa083sb2Z2h5k9Z2ZfzP/G9Pk8Mzs+M+m30/4Zb2YjC+b711Jmq5ntmrbNxDR+v5RheY+ZPZr+9kqT/hzYJ+33b+S29Xpm9o+0rx80sx0yv+GidJy9mI4tzKyPmd2Ulju5dEzWa9m7zh9OmM6HTxnCxltX3z1/PHE6exwxgNH7923NYkRERERERESkFZR5KQC9zKwU7HvJ3Q9P/9+TyCZ8w8yOBHYCdgQGAw+b2d1pvJ2BUcBM4D7gve5+jpl9E9jf3edkF2Zm2xLZiu9193fN7P+ATwGXAH2Aye7+QzNbD/gzsI27u1Wvcu7Af4BDgQHAP4HN07K6A+cCH3H311OA6yfA54C/AF9397vM7JdV5v0MsK+7L0vVpH8KHJkb5yrgXjPbh8j+vNTdH0vfvTdt0xfMbBzwfuC6KsuqYGZdgF8BnwYOLBjlL2a2HLgW+LG7e8E4OwB7ENv2MTO7qYZFz3f33czsM8BvgQ9WWb8ewJXA0e7+sJn1BxYDrwEHu/s7ZrYlcDkwBvgecIq7fzBNPzYzuzOAx9z9o2Z2AHE8lDKCtwH2B/oBz5rZ+cBhwEx3/0Ca14AafleFf/ziNZYudo48bf2q49x16Zs8//Aiznlmm9YsQkRERERERERaScFLgerVxm939zfS//cGLk/VuGeb2V3ArsB8YLy7TwdIQdDhRDXpag4EdiECoAC9iGAXQCkQR5r3O8CFKeB2I9VdAZxEBC+/BZyahm8NbA/cnpbVFZiVAl0D3b1UFftvwPsK5jsAuDgF4Bzonh/B3aenjMwD0t9/zexj7v5foqr4FZl1/DR1BC+BrwA3u/sraf2zPuXuM8ysH7HNPk0E/PJucPfFwOKUBbsbMK+F5V6e+fc3zYy3NZF1+jCAu8+HyIoEzjOznYh9Wr0+dpO9SYFhd7/DzAZlApI3ufsSYImZvUZkok4CzjazXwA3uvs9+Rma2ZeALwH0Xa+yg53XX17KtT+ZzZcv3JRlS5xlS5paKXh3ibNw3nIw+Os3Z3L4d4fSo2eXGAb4isjaXDhvOev06UK37hX7R0RERERERETaSMFLaU623cbmIjNLMv9fTsvHlQEXu/v3C757p9TOZcp23I0Idn4C+BoRHKzg7uPNbHsiEDslE+gz4El337NsBSKLsyhLMe8s4E53P9yiI6NxVZa/BLgFuMXMZgMfTZmWRwIfNrPT0roMMrN+7r4gsy6HAz9KH7+Qa8NyT6Ka9VeAvkAPM3vb3b/n7jPSsheY2d+JoGRR8DL/Ox1YRnmzEfn60l7l/3lW5ftvALOJTN0uRBC6JUXHWGneFcdY2s+7ENmsPzOz29z9zLKJ3S8ALgAYOryHv/1GeROqs19cytJ3nN8d+3LFgv959uv88+zXOfuxrZj/+jIuO/VVLjv11bJx5rzyFvdf9RbfuX44u3+0VYmfIiIiIiIiItIMBS+lVncDJ5jZxcB6wL7At4nqvNUsIKr5zskN/y9wg5n9xt1fS9XD+7n7tOxIqf3K3u5+s5k9CDzfwjp+n8og2bPAEDPb090fSNXIt3L3J83sLTPb293vJaqtFxkAzEj/P75oBDN7D/Cqu89M1bx3AJ4ADgImuvuhmXEvBj5KZHoC4O7XA9cXzdvdV65XapNyjLt/z8y6EZmjc9Jv+iBRdb7IR8zsZ0S18bFE1e2uwHZmtg4RuDyQ8mzZo4n2KY8GHqgyX4hq9RuZ2a6p2ng/otr4AGB66sDouLQ8aDomitxN7IezUnXyOe4+vyDjtLQ9NgLecPdLzextquyf5my+Uy/OuHNExfAf7f8C+x67Lgd+fj02GNmjcJzffGIaw0b35MjT1mfY9nU3ZSoiIiIiIiIiNVDwUmp1PZEFOJHIhvuOu79qZs0FLy8gMhFnufv+pYHu/pSZ/Q/REVAX4F2iw5xpuen7EUHOnkRW3jeaW0F3v6Vg2NLUscw5qQpyN6INxyeBzwIXmdkiqvcC/r9EtfFvAndUGWco8KcUCAQYD5wH/IHKoOS1wJfJBC9baR3g1hS47EoELv9UZdzxwE3AMOAsd58JYGZXEUHW54DHctOsY9FpUhei6nuhtH2PBs41s15E4PIg4P+Aa83sY8CdNGXxPgEsM7OJwF9zyz2daMPzCaKH+uNa2AajgV+a2QriGPpy0Uhp/9N/cMRPH71lPgOGdKP/kG6M2q8v248t7oBnyGbdV35XNE73nsbA9btVnV5ERERERERE2s6K+/cQkTWBmZ0OvO3u1XpqX+OZWeFFbtR+fThzXEVH6gAcaRM58rShfPLHG1ad74nDn2Lbvfvw/y7drOo4RzR1ei8iIiIiItKpzOwRdx/T2eshUi9lXorIGs3dDWDkmN7+vxNq6TcIrvUdWxznD1O3a9uKiYiIiIiIiEiLFLwUWYO5++mdvQ4iIiIiIiIiIq3VpeVRRERERERERERERFY9BS9FRERERERERESkISl4KSIiIiIiIiIiIg1JwUsRERERERERERFpSOqwR0TWCgPZjiOY0NmrISIiIiIiIiJ1UOaliIiIiIiIiIiINCQFL0VERERERERERKQhKXgpIiIiIiIiIiIiDUnBSxEREREREREREWlICl6KiIiIiIiIiIhIQ1LwUkRERERERERERBqSgpciIiIiIiIiIiLSkBS8FBERERERERERkYak4KWIiIiIiIiIiIg0JAUvRUREREREREREpCEpeCkiIiIiIiIiIiINScFLERERERERERERaUgKXoqIiIiIiIiIiEhDUvBSREREREREREREGpKClyIiIiIiIiIiItKQFLwUERERERERERGRhqTgpYiIiIiIiIiIiDQkBS9FRERERERERESkISl4KSIiIiIiIiIiIg1JwUsRERERERERERFpSN06ewVERFaJdx6BZ6zm0a/bZscOXJm1yxE83tmrICIiIiIiIqspZV6KiIiIiIiIiIhIQ1LwUkRERERERERERBqSgpciIiIiIiIiIiLSkNTmpYisscxsE+C7wBgzsG3hpf/A8I3Lx3t5JvzgHLhzPMx5EzZZH3Y4dhZHfH8oPft0XSXrOnf6Uq7/xWu8MGExUycuZuli5/yXtmXo8B4rx3l+wiJuv2AuT929kDkvL6X/4G5su08fjvnxBqy/+Tpl81swdxlXnTmbCf+az7xZ7zJwg+685wP9+PiPNmDAEF36RUREREREZPWgJ1gRWZONBD4OPNKvN8xfWDnCwkVw0Ofg3WVw1kkwbEN4eBL84FevM+u5JXzryuGrZEVnPb+U+696iy126cW2+/Rh4m1vV4xz3xXzeOXJd/jASYPZdFRP3pjxLlefNZvvjHmOXz2+FYM3jUCnu/OzD7/ErClLOPrMDdhk255Mf+odLv/Bq7z4yGJ+ev9IzGrvvEhERERERESksyh4KSJrsrvdfX2A4RubFwUv73sMnpsGt14Ih7w3hu2/OzzQbTD/PPt1lixawTq9O76Fje327cNFs0cB8J8L5xYGLz/63aEVWZNbv7cPX9n8aW7/0xscc+YGAMx6binP3r+IE/64CYd8aRAA24/ti3WBC748g5lTlrDx1j07+BeJiIiIiIiItJ3avJTVjpm5mf0t87mbmb1uZjemz8enz4+Z2XNmdquZ7ZUZ/69m9pKZPW5mj5rZnpnhR1VZZjczm2NmPysY/tO0nMfT32mt+E3/NrN5pd9Q8P25ZvZ2btjHzewpM3vSzP5e7zKrLOd0MzulYPhwM5uc/j/GzM5p5fxPNrPemc83m9nA1q9x89x9RUvjLF0a//bvUz68z8Cu+IrIYlwVunRpOROyqLr30M160H9IN96Y8e7KYcuWxs/u3b/8Et9nYFSBb3mriIiIiIiIiDQGBS9ldbQQ2N7MeqXPBwMzcuNc6e47u/uWwM+B68xs28z333b3nYDvAX+sYZmHAM8CH7fy+rY/BjYCRqf57QN0r/sXwS+BTxd9YWZjgIG5YVsC3wfe6+6jgJNbscxWcfcJ7n5SKyc/GVgZvHT397v7vPZZs9Y5aC/YcjP47q/gqefh7YVwx4Nw0+/mcMiJg1ZZm5etNf3pd3jrtWVssm1Tm5ebjurJdvv24eqzZvP8hEUsfns5z41fxNVnzmbn9/Vjk22VdSkiIiIiIiKrBwUvZXV1C/CB9P9jgMurjejudwIXAF8q+Ppuol3ElhwD/A54GdgDIGUQfhH4uru/k5a1wN1Pr+0nlK3jf4EF+eFm1pUIbH4n99UXgd+7+5tp+tcKph1uZs+Y2cVm9oSZXVPKejSzqWY2OP1/jJmNy0y6o5ndkbJJv1gw37GZLNe+ZvYXM5uUlnFkGn6+mU1IWaFnpGEnEYHeO83szoL1+KaZTU5/J2d+w9Nm9qc0r9tKQWszOyllnj5hZlfUuKkr9FwH7r0MVjiM+hD0GwMHfhbGfLA/Xzhv45Zn0ImWL3P+eOJ0+g/pxoGfX2/lcDPjtJs3Z+Ote/LdXZ/j2H6T+d7uz7H+Fj349rXDO2+FRUREREREROqk4KWsrq4APmFmPYEdgIdaGP9RYJuC4R8CJjU3YQqWHQjcSARJj0lfjQRedveKoGM7+hrwT3eflRu+FbCVmd1nZg+a2WFVpt8auMDddwDmA1+pYZk7EIHhPYEfmtlGzYz7A+Atdx+dlnFHGn6au49J89rPzHZw93OAmcD+7r5/diZmtgvwWWB3Ijj8RTPbOX29JRGoHQXMA45Mw78H7JyWe2INv6vQO0vg6G/Ca3Phb7+Auy6BX34b7rtyHn/6aj6ht7Fc+LUZPHv/Qv7fpcPou255lfLzvzidKQ8u5IQ/bMKZd43ghD9swgsTFnP2UVNZsWLVVIUXERERERERaSsFL2W15O5PAMOJQOLNNUySb1Dwl2b2OJGN+fkWpv0gcKe7LwKuBQ5PGZHlCzD7bGrz8hUz27SGdWp+hSNo+DHg3IKvuxFBvbHENriwStuRr7j7fen/lwJ717DoG9x9sbvPAe4Edmtm3IOA35c+lDJBier1jwKPAaOA7VpY5t7A9e6+0N3fBq4jquADvOTuj6f/P0Lsd4AngMvM7FhgWdFMzexLKQN0woKCznoA/nwNjBsPN/8Rjv0w7LsrnPI5OO5XG3HbH+YydeLiFla9c1z6/VncfsFcvnLRpux0SL+y7x65aT73Xj6Pk/42jENOGMSofftyyAmDOOlvw3j05gVM+Nf8TlprERERERERkfooeCmrs38CZ9NMlfGMnYGnM5+/7e47ufvB7j65hWmPAQ4ys6lE8GwQsD/wPDDMzPoBuPtfUruXbwFlwU0zOzzToc+YGta3tM4jgefTsnub2fPpu+lEkPFdd3+JaI9zy4J55FPsSp+X0XT+5xtArDZNEct/b2abA6cAB6asyJsKllE0n2qWZP6/nAjcQmSH/h7YBXjEzCp6s3H3C9x9jLuP6dcn/22Y9BysOwBGDCsfvuVu0TTn9KffaWHVV71rfjKb63/+Gp/73UaM/fR6Fd9PmxQB15G79i4bPrKBf5OIiIiIiIhIEQUvZXV2EXCmu7dU7Xs/IsPyT/UuwMz6E1mBw9x9uLsPB74KHJMyMf8MnJeqr5faqOyRn4+7X5+CpTu5+4Ralu3uN7n7BpnlLnL3Uvuc/yACqKQ2I7cCXiyYzbBSb+pEEPbe9P+pRNAPmqphl3zEzHqa2SAis/PhZlbzNqJqO2ld1gX6E50qvWVm6wPvy4y/AChPEwx3Ax81s95m1gc4HLin2kLNrAuwaWrP9DtEh0Z9m1nPqjYYDG++Bc9PKx8+5aFFAKy3cWv6X+o4N53zOpf/z6t88icb8P6vDykcZ+AGsc7PjV9UNvy5Bv1NIiIiIiIiItVUZCqJrC7cfTrRiU6Ro81sb6Jn65eAI9396SrjNucI4A53z2b/3QD8r5mtA5wGnAVMNrMFwGLgYqJtx5qZ2T1Em5x9zWw68Hl3v7WZSW4FDjGzp4hsxG+7+9yC8Z4GjjOzPwLPAeen4WcAfzazU6lsL3Q8kS05DDjL3Wea2fAq6/Fj4PdmNjmtxxnufp2ZPQY8SQRU78uMfwFwi5nNyrZ76e6Pmtlf07IBLnT3x5pZblfgUjMbQGRt/qZar+VmdhTA4HXj8y13w5D1YMi6sN9ucPzh8Ou/wvtPgNNOhGEbwoTJcMkfZzJil15s894qKZsd4IFr4ie88EhkTj56y3wGDOlG/yHdGLVfX+694k3+cvJMdj6sH6MP6MuUB5vqwvfq35VNt4sE1z2OGMDlp83i3M+8zFE/WJ+Nt+nJjGfe4eozZjN40+7sfviAVfabRERERERERNrC3NVxg8iaKAX+bnT37Tt5VTqVmRVe5PbbFcZdEv9/6nk4/ffwwOMw503YdAPY9qghHHna0IqOcDrSkTaxcPio/fpw5riRnHv8y4y7+M1mxymZ88pSrjx9NpPveJs3Z73Luht2Z4eD+vLx0zdg0CrOvDyCx1seSUREREREOpSZPZI6VhVZrSh4KbKGUvCy3JjtzSdcU/v4122zY8etzFpGwUsRERERkc6n4KWsrlRtXGQN5e5TAQUuRURERERERGS1pQ57REREREREREREpCEpeCkiIiIiIiIiIiINScFLERERERERERERaUgKXoqIiIiIiIiIiEhDUoc9IrJ26LkLbDOh5tGP6MBVEREREREREZHaKPNSREREREREREREGpKClyIiIiIiIiIiItKQFLwUERERERERERGRhqTgpYiIiIiIiIiIiDQkBS9FRERERERERESkISl4KSIiIiIiIiIiIg1JwUsRERERERERERFpSApeioiIiIiIiIiISENS8FJEREREREREREQakoKXIiIiIiIiIiIi0pAUvBQREREREREREZGGpOCliIiIiIiIiIiINCQFL0VERERERERERKQhKXgpIiIiIiIiIiIiDUnBSxEREREREREREWlICl6KiIiIiIiIiIhIQ1LwUkRERERERERERBqSgpciIiIiIiIiIiLSkBS8FBERERERERERkYak4KWIiIiIiIiIiIg0pG6dvQIiIqvEtOfgC4fF/0+5teyr67bZsc2zP+PsbZh4yhVtno+IiIiIiIiINFHmpYiIiIiIiIiIiDQkBS9FRERERERERESkISl4KSIiIiIiIiIiIg3J3L2z10FEpMOY2Vjgzvzwrl2h5zqwfDl07dWFbj26sHj+cgYP68HuRwzgyFOH0qtf17Jppjy4kCtPn82UBxey/F3oN6grAzfsxrxXlzF35gq23GIERxxxBKeeeir9+vVbRb9QRERERESkZWb2iLuP6ez1EKmXMi9FZK2waZ+ePPChcTGJUgAAIABJREFU3fnO6OF07QofPwyuPweGbwSDNu3Bvp9el//59xYc+uVB3Hr+HM44+EVWrGh6ufPITfP5wb4vMHCDbpz898347g3DsS7gDp/66YZs/oV9+fKXv8z555/PwQcfzIoVKzrx14qIiIiIiIisGdTbuIisFXp27cIGvdbhnKde5uxvw8nHxfC7L4V79tp65Xij9utL3/W6cu5xr/DkuLcZfUA/Fi9YznmffYVDvzKIz/1245Xj/uLhrRgwJC6jd84aysknn8x6663Hcccdx7hx4zjggANW6W8UERERERERWdMo81JWGTNbbmaPZ/6+l4aPM7NnzewJM3vGzM4zs4EF0002s6vNrHfBvD9nZpPSPCab2UeaWY+NzOyajvmV7cfMeprZeDObaGZPmtkZme8OMLNH02+92Mza5UVE2hcV1QjM7HgzOy/9/0Qz+0wr5j3QzL6S+bzK98NFU6bTxYwTP9E0bMh6leON3DUOsbkz3gXg/qvnMf/1ZXz4W0PKxisFLrN23XVXAGbMmNFOay0iIiIiIiKy9lLwUlalxe6+U+bv55nvPuXuOwA7AEuAGwqm2x5YCpyYnamZbQKcBuyd5rEH8ES1lXD3me5+VDv9po60BDjA3XcEdgIOM7M9zKwLcDHwibRNpgHHraqVcvc/uPslrZh0ILAyeLmq98NLCxZz1uMvsmT5csZ+BjY7ALptDyMPhVt+P6ds3CfvehuATbbtCcAz9y6k73pdmTbpHb4x+lk+1m0iX9r0Ka4641WWLy9vN/iuu+4CYNttt10Fv0pERERERERkzabgpTQUd18KfAcYZmY7FoxyDzAyN2wosAB4O83jbXd/CcDMRprZf1L24qNmNsLMhpvZ5PR9VzP7pZk9nLI2T0jDx6YsxGtSNuhlZmbpu13N7P40z/Fm1q+Z+WxoZndnMkf3qWNbuLu/nT52T38ODAKWuPuU9N3twJH56VO25A1m9u+U2fqjNHzl70+fTzGz0zOTHpt+32Qz261gvqeb2SnNbN++Zvbf9HlSJgv258CItC1+mdsPPc3sL2n8x8xs/8xvuC79hufM7H8z++2vaR0nmdk3mtmUbwG/2qxvTzbt05Nu1oXxk+Ctt+HKX8PBe8KFX5vBjb97HYhsyyt+OJsdDurLyDGRgfnGzGUsXbSC335yGvsfvy4/+s8Ixh63LlefNZtLTpm5ckEzZszghz/8IQcddBBjxqgdbBEREREREZG2UpuXsir1MrPHM59/5u5X5kdy9+VmNhHYBphYGp6qRr8P+HdukonAbOAlM/svcJ27/yt9dxnwc3e/3sx6EgH7oZlpPw+85e67mtk6wH1mdlv6bmdgFDATuA94r5mNB64Ejnb3h82sP7C4mfkcAdzq7j8xs65ARZX35qRpHiECtr9394dSELW7mY1x9wnAUcCmVWaxG7A9sAh42MxuAuZUGbekj7vvZWb7Ahel6asp2r5LgcPdfb6ZDQYeNLN/At8Dtnf3ndJvG56Zz1cB3H20mW0D3GZmW6Xvdvr/7N15uJVlufjx780kyKyCgqgoDuQEKjmUs2aeMofS1GywjpanuXOobHJotPQcO5lZ6UkbLLXU8lcqmolDOYECzqKiaSjiAAgybu7fH++zYbH32psNgizh+7mufe21nveZ3metzXV5ez/PS/VZzAcejYjzqD7DTUvmKVFzzEBLmXkfcN+oAX3/a9aCRcxfvJizR8Op58J9D8EFZ8BdM3tz9fde4MCP9ef7R0yhcxf49MVLlzQXJwvmJcd/ZxCH/2e1dXzH/Xvx6ktNXH/+S7z/jE1omr+QI444gi5dunDxxRcvZ4klSZIkSVJHmHmpN1LLbeOtApc1ouZ1c9BzHPBP4P9qK2ZmE3AoVRDvMeDckh3YmyrAdXWpNy8zX2sxziHAh0v/d1FlNW5Trt2dmc9m5mJgAjAU2A54LjPvKX3OysxF7fRzD/DRktm4U2a+2rGlWnpvJdg3BNg9InbMzASOK/d5N1XW6aI2urgxM1/KzLnAVcDeHRj2d2XsW4E+bQUG21nfAL4bEZOAvwKbAhsvZ8y9gV+Xfh6h2grfHLy8KTNnZuY84CFgC+BJYKuIOC8iDgVmtTHHj0fEuIgYN33uAjZcrysAnzgOth0K95T80xGH9GbGtEV8+9ApTHtyAd8YsxUbDum2pJ9eG1b/n2fEO3ot0//IQ3qzaGHy5L2v8dTFt/Pkk08yZswYhgwZspzblSRJkiRJHWHwUg2nZBvuBDxcimqDnp8pW8uXUbZY352Z36MK7L2PZQOgbQ4HfKam/y0zsznzcn5NvSaqTOWg2rrdoX5KAHBf4F/Ar6PFg24iYo9Y+gCjw9uaZGbOAMZSBWnJzDsyc5/M3B24FZjcVtM67xex7N9+9w60qaet9T0BGADsVgKv0+qM0dG+oM7nkJmvACOo1uRTwEX1GmbmzzNzVGaOGtCjGzv071VzDaKM2rSousWnJszla9duyRY79Vimn813qKYfLWZZxZHhd19/nrnPvMy1117LTjvt1O6NSpIkSZKkjjN4qYYSEV2B7wHPZGabD91p0WZwROxaUzQSeDozZwHPRsSRpd560fpJ5WOA/yjjEhHbRkTPdoZ7BBgcEW8t9XuX7ex1+4mILYAXMvNCqozR2nmSmXfVBDyvaXFfA5qzHiOiB3BwGZ+IGNh8T8CXgZ+2Md93RMQGpf2RVNvfpwEDI2LD0v6wFm2OLX3vTbUVfma9jttZ377lnheWsyu3KE1eBXq3Mc9bqYKelO3imwOPtlGXsh29U2ZeCXyDFuvalqO2qBJAf/JbeOwp2GNnWLwYrvnv6rzLU6/Zkm33bP3x735kHwDuu37ZxNn7rp9Fp07w5Pi5bHHi3uy5554dmYYkSZIkSeogz7zUG6nlmZfXZ+ap5fWlETEfWI9qq/ERrVq3rStwTkQMBuYB01n6RPIPAT+LiG8CC4FjgMU1bS+i2g5+bzlLcjpVkK+uzFwQEccC55WA4FyqoGJb/ewPfDEiFlI9UOjD9fptwyDglyUTtRNwRWb+uVz7YkQcVsovyMy/tdHH7VTbsbcGflvOyKSsx13AFEpAtMYrEfEPoA/wseXMsd76Xgr8v4gYR7Xd/hGAzHwpIv5eHtJzHXB+TT8/AX4aEfdTZYaemJnzo2Wq41KbAhdH9eR1gK+0VTEiLgWmbNW7B907B8N6r89Xzn2Nfr1hx21gx/fAzGmL2O2wPnTv2YnH7pyzpO2GQ7qy4ZBubL5jDw44sT+XnfY8uRi23LUHk/76Kn+98BUAjho9gAkzO3PnnXcuaTtkyBC3j0uSJEmS9DpF87ZHSWuXiDgRGJWZn17Tc1mTIuIrwPGdgp06EQzs0Y1+g+bzwsvVE8dJWNjGiaHvP31jjj1jEwAWLljM7785jbG/fIWZ0xYxYGhXXn2xidmvNNVte/rpp3PGGWeslnuSJEmSpBUVEeMzc9Sanoe0ogxeSmspg5fLGjWgb447Yq/qzegxy1y7aviI193/mecMZ+Loy153P5IkSZK0Ohi81JuV28altVRmXgJcsoanIUmSJEmStNJ8YI8kSZIkSZKkhmTwUpIkSZIkSVJDMngpSZIkSZIkqSH5wB5J64RRo0bluHHj1vQ0JEmSJGmN8IE9erMy81KSJEmSJElSQzJ4KUmSJEmSJKkhGbyUJEmSJEmS1JAMXkqSJEmSJElqSAYvJUmSJEmSJDUkg5eSJEmSJEmSGpLBS0mSJEmSJEkNyeClJEmSJEmSpIZk8FKSJEmSJElSQzJ4KUmSJEmSJKkhGbyUJEmSJEmS1JAMXkqSJEmSJElqSAYvJUmSJEmSJDUkg5eSJEmSJEmSGpLBS0mSJEmSJEkNyeClJEmSJEmSpIZk8FKSJEmSJElSQzJ4KUmSJEmSJKkhGbyUJEmSJEmS1JAMXkqSJEmSJElqSAYvJUmSJEmSJDWkLmt6ApL0hnh6Mpx06NL3o8cAcNXwEa2qnnnO8DdkShNHX/aGjCNJkiRJ0puVmZeSJEmSJEmSGpLBS0mSJEmSJEkNyeClJEmSJEmSpIYUmbmm5yBJq01EjAX2W9F2vbbdhK1Ort/syQtvYfZjzzPwoO3Z5NCdlpQvem0Bz/1lArMe+BeLFzbRc4uNGHT4SHoM6le3H8+8lCRJkvRGiYjxmTlqTc9DWlFmXkpa230S2Gu7vutzx3v24Mxdh7H/oP4AfOhwOOa0gQwY2pX11g++eNVQTvyfwQD02WFw3c5eue9p5j03o1V5ZvLUJbcx+9HnGXzkrgz98NvJxYt58qc3s2DGa6vt5iRJkiRJWpsZvJS0VsvMhzLzzl5du7DnwH6ctsvWbNV7fbp1hR9+BY47cxDfuH4r5r+WvPDkfP75wDyicyf6jdy8VV9Ncxfw3DUTGPSeka2uzXpwKq9NeZHNjtuD/rtsQe/hgxh64t6QMH3sI2/ErUqSJEmStNZZZ4OXEXFURGREDF+NY4yKiB+txv73j4iZEXFfRDwcEaeX8hMj4seroP+LImL7lZzXn+uUrx8Rl0bE/RHxQETcHhG9VqL/UyLiw8upc+RKzv2HEbFvzfsBEbEwIj7Rot5T5T4mRsQNEbFJKf9YKZ9U7vGIUn5ORBy4EvMZGxGPRsSE8jOwlJ9bU/ZYRLROBVwJEXFGRIyuUz40Ih4or1f6ex0Rn4+I9WveXxsR9fdUryZzFzXx+ynP854DYIMycu8NuwCQCXf8fgZ9th9Ml/XXa9X2ub9MpPsmfei/yxatrs166F906dODXltvvKSsc49u9Nl+MLMe/NfquRlJkiRJktZy62zwEjgeuB04bnV0HhFdMnNcZn52dfRf47bM3AUYBXwwInZbVR1n5kmZ+dCq6g/4HDAtM3fKzB2BfwcWrsS8fpqZv1pOtSOBFQpeRsQGwJ6ZeWtN8THAnVTfl5YOyMwRwDjgqxExBPgasHdm7gzsCUwqdc8DTl2R+dQ4ITNHlp8XADLzC81lpe+rVrLvFfY6v9efB5YELzPzXZm5SgKvHXXVU9N4dWETHzwcFiyAqZPn89NPPEu/Tbqw3vqdmPvqYvqPGtqq3Zwp03ll/FMMPqr+n9j8aTPpvknfVuXrbdyHhTNeo2n+Cn/VJUmSJEla562TwcuS7fd2quDZcTXl+0fELRFxRclmOysiToiIu0s23bBSb0BEXBkR95Sft5fyMyLi5xFxA/Cr2gzEiOgVERfXZOW9r5RfEBHjIuLBiDizZi5PRcSZEXFvadNuhmhmzgHGA8NK0eCIuD4iJkfED0qf/x4R59aMcXJE/E9E9IyIv5Qswgci4thyfWxEjCqvDy1zmRgRN5Wy3SPiHyXz8x8Rsd1yln4QsCQFLTMfzcz5pa//LGM/EBGfr5njh8t6TYyIX9es8+jyeli5z/ERcVtEDI+ItwGHA2eXzMRhEXFvTZ/bRMT4OvM7Gri+RdnxwH8BQyJi0zbu61Zga2Ag8Cowu9zf7MycUl4/DWzYnKG5ih0P/K5lYcmWfCQiflnW8A/NWY/l+7VReT0qqofaNBsREX8r352T6/S7Ut/riPgsMBi4OSJurjOPVt+Bcg8PR8SFpa8bIqJHc38R8VAZt8NPvvnV41MZ2L0b3/oJrDcCPrPtIzw9aS5n/m0Yd/9pJn0HdqH3doOWaZNNi3n2ynEM2G843Qf2qdvvotcW0LlH11blndfvBkDTXIOXkiRJkiStqHUyeEmVlXd9Zj4GvBwRu9ZcG0GVIbgT8CFg28zcHbgI+Eyp87/AuZn5VuB95Vqz3YAjMvMDLcb8BjCzZB3uDPytlH+tPO1rZ2C/iNi5ps2LmbkrcAHQaitvrYjYkCrT78FSNBI4ttzHsRGxGXAZcHhENEdYPgpcDBwKTM3MESUj8voWfQ8ALgTeVzINjymXHgH2LZmfpwHfbW+OwC+AL0fEHRHx7YjYpvS/W5nLHuUeTo6IXSJiB6pMxgPLuJ+r0+fPgc9k5m5ljX6Smf8ArgG+WLITnwBmRkTzQYUfBS6p09fbqQLAzfe9GbBJZt4NXEG1nvUcBtwPTASmAVNKQO89LerdW8ZYUReXIOw3IiJqL0TEFsCWLP0+tbQd8PPynZtF9fCa5dkZeDewF3BaRNR/ck2lw9/rzPwRMJUqY/WAFvdR9ztQLm8DnJ+ZOwAzqP7moMpk3aWMe0oH7oupc+bx16kvccKwQfzmB3DnZfD5327O+n06c/qBTzDpr7PZ54R+ROdl/2l84eaHyYVNDDzoLe0PsOzHI0mSJEmSXqd1NXh5PFUgj/K7dkvwPZn5XMkIfAK4oZTfDwwtrw8GfhwRE6iCZH0ione5dk1mzq0z5sHA+c1vMvOV8vL9JSvwPmAHlt3q3LwVeHzN2C3tExH3lXmelZnNwcubMnNmZs4DHgK2KNmZfwMOK5mcXTPz/nJvB0fE9yNin8yc2WKMPYFba7IIXy7lfYHfR3UW4rll/m3KzAnAVsDZwAbAPRHxFmBv4OrMnJOZs8t97wMcCPwhM19sMS6wJIP2bWUOE4CfUWV31nMR8NGI6EwVhPxtnTqDgOk174+jClpC6+8JVBmEE4A+wPcys4kqEHw08BhwbkScUVP/BarMwxVxQmbuRLUe+1AF1GsdR7VGTW20fyYz/15e/4ZqrZfnT5k5t6z7zcDu7dRdme91PW19BwCmlO8OLPu3MAm4NCI+CCyq12lEfLxkgI6bPncBv3niORYnfGSbwbxlGOwxAvY5vj9n3DSMOTOayMVwwEc2WKaPBa/M4YWbHmbjd+5ILlpM09wFNM1dAMDiRU00zV1ALl5M5x7daHptQas5NJfVy8qUJEmSJEnt67KmJ/BGKxmKBwI7RkQCnYGMiC+VKvNrqi+ueb+YpevVCdirZZCyJMXNaWtoIFvU35IqW/CtmflKRFwCdK+p0jx2E21/Vrdl5mF1ymvvo7b9RcBXqbImLwbIzMdK5tu7gO9FxA2Z+c325l58C7g5M4+KiKHA2DbmuERNYOqqiFhcxmwr8NbWuM06ATPKuY/LcyVwOlXwdnxmvlSnzlyWXf/jgY0j4oTyfnBEbJOZk8v7A5oDq80yM4G7gbsj4kaqNT6jXO5exliiZHf+v/L2p5n50xb9/av8fjUifksVSKw97/M44FPt3HfL9Wt+v4il//Oiext12npfa2W+123105aW3+Ue5fW7gX2pjgj4RkTskJnLBDEz8+dU2bmMGtA3fzV5KiM26M2IDZfd+t2zX2cAuvfqxNARPeDGpdcWvDyHXNTEM7+7q9XEXrzlUV685VG2+fwhdN+kL7Mfe7715KfNomu/9em8nsFLSZIkSZJW1LqYeXk08KvM3CIzh2bmZsAUOpaR1uwG4NPNb2q2I69Im/5UGXtzqLY0bwz82wrMYaVk5l3AZsAHKOcklm3Br2Xmb4BzgF1bNLuDauvvlqV+c2paX5aeYXni8saOiLeX+yYiulFl4z1NdWbkkVE9jbwncBRwG3ATVQbfhi3Gbb6XWVRbtI8p1yMiRpTLrwK9a+rOA8ZQbcG/uI0pPkx1diVRnd/ZMzM3Ld+TocD3aOcBTxExuMURBCPL/TXbFnigxT08U/MwnmUClxHRpeY8yK5U29MfqLm+HdCf6vNpy+YRsVd53fyQKoCnqI44gKXbsJsdERHdy7rvD9zTTv8r+r1e5nOp0dZ3oK6I6ARslpk3A18C+gHtPrl+zsImHpwxm49s0zr5dcKYWSycl2y+Y+sYa4/B/djqlANa/QD023ULtjrlALpt1Is+2w9m4cy5zH7ihSVtm+YtZNbDU+mzw4om3EqSJEmSJFgHMy+pAjhntSi7kiqYd3kH+/gscH5ETKJaw1tZ/pl73y5tHqDKHjszM68qW74fBJ4E/t5eB6vQFcDImi2+O1E93GYx1dO//6O2cmZOj4iPU2VLdqLa/vwO4AfALyPiP2n7zMVaw4ALyrmNnYC/AFdmZpbsvLtLvYsy8z6AiPgOcEtENFFtQT6xRZ8nlD6/DnSl2t49sfy+MKqHxBxdzr28FHgvS48CaOkvwCeoslOPB65ucf3K0u+32mjfFTinBIPnUW1BP6XcR1eqwOi4NtrWsx4wprTtDPyV6uzRZscDl5Vsz7Y8DHwkIn4GTKYK3gKcCfxfRHwVaJlSeDfVWmwOfCszp5bM2npW9Hv9c+C6iHiu9tzLzLy33negnXE7A7+JiL5UWZvnLu+p5S/NX0iXCG7810vMXtjEzjdBn15wwy0v8ZtTnwPgI//dOsjYuUc3eg0bWLfPbv17LrnWZ/tNWX+LDXnmd3cy6LCRdO7RlRf+9jAkDNh/OWdlSpIkSZKkuqL9uIfWRlE9KfrczLxpTc/ljRTVE8r7ZuY32qlzO3DY8gJhKzH2UcCu7Y29qpXA35/LQ5jWaRHRtUvEgkOHbMTeG/fjiinTeGLBLBYshH6bdePFZxYy/G09OeOmYQCcec7w5fY56YuXM/Cg7dnk0J2WlC16bT7P/Xkisx74F4sXNdFziw0Z9J6R9Bjcv24fE0d3+CHpkiRJkvS6RMT48mBV6U1lXcy8XGdFRD+qzLaJ62Dg8mqqzM8Dl1P1v6gyDldp8JLqb+2/V3Gf6qDMXDhqQF/+3yHVrv4vj9gKRo8B4KrhK5cVufPZrR8+32X99djs/bvD+1d+rpIkSZIkaSmDl+uQkk247Zqex5qQmUd1sF7rp7KsmvF/vzr6Xc6YTwHrfNalJEmSJEl681oXH9gjSZIkSZIk6U3A4KUkSZIkSZKkhmTwUpIkSZIkSVJD8mnjktYJo0aNynHjxq3paUiSJEnSGuHTxvVmZealJEmSJEmSpIZk8FKSJEmSJElSQzJ4KUmSJEmSJKkhGbyUJEmSJEmS1JAMXkqSJEmSJElqSAYvJUmSJEmSJDUkg5eSJEmSJEmSGpLBS0mSJEmSJEkNyeClJEmSJEmSpIZk8FKSJEmSJElSQzJ4KUmSJEmSJKkhGbyUJEmSJEmS1JAMXkqSJEmSJElqSAYvJUmSJEmSJDUkg5eSJEmSJEmSGpLBS0mSJEmSJEkNyeClJEmSJEmSpIZk8FKSJEmSJElSQzJ4KUmSJEmSJKkhGbyUJEmSJEmS1JAMXkqSJEmSJElqSF3W9AQk6Q3x9GQ46dD610aPWW3DXjV8RLvXzzxnOAATR1+22uYgSZIkSdKblZmXkiRJkiRJkhqSwUtJkiRJkiRJDcngpSRJkiRJkqSGZPBS0lonIoZExHkRcUdEvBYROb9pcat6Xx33GIdcN44N94R4C1xyNYy5HQ48ETbZB9bbGYbsD+//Ajz0eOtxrr0F9v0g9NoN+oyCUUfD5dfCZ74Nex0H6+8C74uJvPDUgmXa/eW86Zw0+EGO6TKRSV+8nElfuoItttiCG264YfUsiCRJkiRJb1IGLyWtjbYG3g+8AtzWVqXzHvonc5uaOGz/pWUvz4TddoAffx1uuAi+9wV4cDLseRw8/a+l9X52ORzx6aru1T+C3/8QjnknPPkMXHE99O8D++xWf9wJ178KAQecuAGDDh/JBntuxfPPP8873/lO7rjjjlVx/5IkSZIkrRUiM9f0HCRplYqITpm5uLw+Cbhwx/69uP+9b1+m3uJMOkXw+DFj2OZQuPi7cOJRrft7dAoMfxec8yX4r4/CU/+Ct7y7Cmx+/iPL1l28GDqV/y100e/h5NPggilvYeDQbkvqzJy+iL4DugBLnzZ+7q4f56CDDuLggw/mxhtvXEUrIUmSJEmViBifmaPW9DykFWXmpda4ssX3TxExOSKeiIj/jYhuy2+5wuOcERH/iogJNT/96tQbGxGjyutrI6Jf+flkTZ3BEfGHVT3HOnPpFxF/iIhHIuLhiNirlJ9dyiZFxNX17mMlx7skIo6uU75/RPy5vD48Ik5dyf6/2uL9P1Zupu1rDlwuT6eIDvW3YVndrlW8kV9cWQUoTzmuTp8d+Fe1OXBZa+eddwbg1Vdf7dCcJEmSJElaFxi81BoVEQFcBfwxM7cBtgV6Ad9ZTUOem5kja35mtFc5M99V6vQDPllTPjUzWwX5VoP/Ba7PzOHACODhUn4jsGNm7gw8BnzlDZgLAJl5TWaetZLNlwleZubbVsGUVoumJliwACY/BZ84HTbZCI57V3Xt9nth+JZw2bUw7BDosiNs/U44/9IVHSNZvKiJ+dNf5QMf+AAAhx566Kq9EUmSJEmS3sQMXmpNOxCYl5kXA2RmE/AF4GMRsX5EnFiyMq+PiEcj4vTmhhHxwYi4u2RQ/iwiOpfy2RHxnYiYGBF3RsTG7U0gInpExGUli/FyoEfNtaciYiPgLGBYGevsiBgaEQ+UOt0j4uKIuD8i7ouIA0r5iRFxVZn75Ij4wYosTET0AfYF/q+szYLmYGtm3pCZi0rVO4EhddrvHxG3lszMhyLipxHRqXmNauodHRGX1DQ9OCJui4jHIuKwOv2eGBE/Lq83Lv1PLD9vK+V/jIjxEfFgRHy8lJ0F9ChreGntPKJydkQ8UNbx2Jp7GFuTfXppCXgTEWeV+5oUEeesyNp2xB7HwnojYNt/g0mPwt8ugYEbVtemvgCTn4Yvng2nnlSdjfmOveDT34b//VXHx/jKHpN54Ct/4NEfXMttt91G//79+dznPreqb0WSJEmSpDet1nsXpTfWDsD42oLMnBUR/6R66ArA7sCOwGvAPRHxF2AOcCzw9sxcGBE/AU4AfgX0BO7MzK+VgOHJwLdLX1+IiA+W169k5gHAfwCvZebOEbEzcG+deZ5Klek4EiAihtZc+1SZ904RMRy4ISK2LddGArsA84FHI+K8zHymg2uzFTAduDgiRpR1+lxmzmlR72PA5W30sTuwPfA0cD3wXmB5292HAvsBw4CbI2Lrdur+CLglM48qweNezXPKzJcjogfVZ3ZlZp4aEZ9uXsMW3ku1ViOAjUqbW8u1Xai+J1OBvwNvj4iHgKOA4ZmZq2onrHnWAAAgAElEQVTbfK1ffx9mzYYnn4VzfgHv+He4/VIYuml1ruWrc+CS78J7D6nqH7gnPDUVvnchfPZD0JEd6Z/99eacd8FmPHfdJOY8/gK9evVi5syZ9O/ff1XfjiRJkiRJb0pmXmpNC6DeU6Nqy2/MzJcycy7VFvO9gYOA3aiCXBPK+61K/QXAn8vr8VTBuGa128YPKGX7Ar8ByMxJwKQVvIe9gV+X9o9QBQqbg5c3ZebMzJwHPARssQL9dgF2BS7IzF2oArbLnDUZEV8DFgFtbVi+OzOfLBmtvytzXZ4rMnNxZk4GngSGt1P3QOACqLJmM3NmKf9sREykygrdDNhmOWPuDfyu9DENuAV4a809PFvOsZxA9XnOAuYBF0XEe6kC262UrM+vA7w8b8FyprCstwyDPUbA8e+Gmy6G2a/BWRdW15rPwHzHss//4ZC3wbQX4bnpHRtjyFu6M/OBfzHniRe44IILWLhwIWedtbI78iVJkiRJWvsYvNSa9iCwzNPOynbpzYAnSlHL4GZSBTd/WROI3C4zzyjXF2Zmc5smOpZhXC+A2lHt5djNr3ndai4RsUcsfXjQ4S3aPgs8m5l3lfd/oApmNrf9CHAYcELN/bZUb+1alnfvYJsOiYj9gYOBvTJzBHBfnTFaNWvnWqs1LFvmdweuBI6kyiptJTN/Tsm63aD7yj8Dql8f2HpzePzp6v0ObeSiNi9Up449B4g/fGca029+mMGH78Ipp5zC1ltvzeOPP77S85QkSZIkaW1j8FJr2k3A+hHxYYCy9fi/gUsyszmb7h0RsUHZgnwk1dbhm4CjI2JgabdBRKxIVmOtW6m2nBMROwI716nzKtC7A+23BTYHHu3IwJl5V00A9poW154HnomI7UrRQVTZm0TEocCXgcNr1qme3SNiy3LW5bHA7aV8WkS8pZQf1aLNMRHRKSKGUWWztncvN1FtuyciOpfAc1+qLfmvlW30e9bUXxgRXev0cytwbOljAFU27N1tDRoRvYC+mXkt8HmqLeerzbQX4ZEpMGzz6v1RB1e/x9y+bL0xt8OQTWCTAcvv8y8/ms7vvv48mxy6ExvtvS3Tpk3jkUceYdiwYat28pIkSZIkvYl55qXWqHJe4VHATyLiG1QB9WtZ9qnUt1Nty94a+G1mjgOIiK9TnS/ZCVhIdfbk08sZsvbMS6iCoRdQnSs5iWpbcqugWWa+FBF/Lw/puQ44v+byT4CfRsT9VFu4T8zM+dGRQw+X7zPApRHRjWoL90dL+Y+B9YAbyzh3ZuYpddrfQfWwoZ2oAoRXl/JTqbbWPwM8wNKzKqEKVt4CbAyckpnz2rmXzwE/j4h/p8qK/A+qLMhTyno+SrV1vNnPgUkRcW9mnlBTfjWwFzCRKoHxS5n5fAl+1tMb+FNEdKfK2vxCywoR0fw0+N0AZi1YxB+mPM+A7t3Yb9AGANzy3MtMn7eA50sQctwD8JPfwVZDqu3ifXrBY0/Bub+ELp3hv06s6r1rPzhgj+op5C++AlttBn8YAzf8HS7+bvUaYPyD1e97r5tF3wFd6DOgCzvs14svvfUxnhg3ly136c787l2Y+pcJ7H7e7kQERxxxRFtrLUmSJEnSOifa3m0qrXkRcSIwKjM/vabn8mZTtm+PzsxWTwxfF0RE3X/c9tukP2PfvTsA+//lbm55/pW67fv2hgULYbNNYP/d4Ssfrx7W02zWbPjK/8AfboBXZsHwLeHUk+EDh0G8pf6cdtivJ98cuzVf3O0xnrx3bt06++23H2PHju34jUqSJElSB0TE+MwctfyaUmMxeKmGZvBy5a3rwcuWRg3om+OO2Kv+xdFjVtu4Vw0f0e71M8+pkksnjr5stc1BkiRJkgxe6s3KbeNqaJl5CXDJGp7Gm1JmjgXGruFpSJIkSZIkrTQf2CNJkiRJkiSpIRm8lCRJkiRJktSQDF5KkiRJkiRJakg+sEfSOmHUqFE5bty4NT0NSZIkSVojfGCP3qzMvJQkSZIkSZLUkAxeSpIkSZIkSWpIBi8lSZIkSZIkNSSDl5IkSZIkSZIaksFLSZIkSZIkSQ3J4KUkSZIkSZKkhmTwUpIkSZIkSVJDMngpSZIkSZIkqSEZvJQkSZIkSZLUkAxeSpIkSZIkSWpIBi8lSZIkSZIkNSSDl5IkSZIkSZIaksFLSZIkSZIkSQ3J4KUkSZIkSZKkhmTwUpIkSZIkSVJDMngpSZIkSZIkqSEZvJQkSZIkSZLUkAxeSpIkSZIkSWpIBi8lSZIkSZIkNSSDl5IkSZIkSZIaksFLSZIkSZIkSQ2py5qegCS9IZ6eDCcd2rG6o8dw1fARrYrPPGd4m00mjr5sZWcmSZIkSZLaYOalJEmSJEmSpIZk8FKSJEmSJElSQzJ4KUmSJEmSJKkhRWau6TlI0moREUOALwOjAvZMYMr792Vo7x5L6pxx7+Oced8TbfbRqXP1e3ETDP/KYXTboOcy1xcvbOL5MffT5dGZzJgxg5EjR/L973+ffffdd9XfkCRJkiStpIgYn5mj1vQ8pBVl5qWktdnWwPuBV3p37Vy3wknbDeGO9+zB+Xu9hf7durBDv6XByc5dYLMdutO5awCwuKmpVftnf383L9/1JN/85jf585//zKBBg3jnO9/JhAkTVsf9SJIkSZK0TjF4KWltdmtmbpyZ7+q/Xte6FYb07M6eA/txyls24+UPHcQm669H7xK//MTPhvA/E7fj8P8cAMCMCf9cpu3cqa8w475/MvjwkZx88skcdNBBXHHFFWy++eacdtppq/XGJEmSJElaFxi81DIi4msR8WBETIqICRGxR821ARGxMCI+0aJNr4i4ICKeiIj7ImJ8RJxcrg2NiLmlr+afD9cZd2xEPBoREyPi7xGx3XLmeUZEjK5TPjQiHiivR0XEj1ZyHT4fEevXvL82IvqtTF+vR0ScEhH3l3W7PSK2L+UntFjTxRExchWMt39E/LmNa09FxEbl9T9Wsv8jm++hvP9mRBy8crNdvsxc3NG6naLKrrzzhZl0Lv8ybr9vLwAGbtkNgNmPTVumzawHpxKdO9FvxOZLyrp06cJxxx3HmDFjmD9//uuavyRJkiRJ6zqDl1oiIvYCDgN2zcydgYOBZ2qqHAPcCRzfoulFwCvANpm5C3AosEHN9Scyc2TNz6/amMIJmTkC+CVw9uu9n8wcl5mfXcnmnweWBC8z812ZOeP1zmkl/DYzd8rMkcAPgP8p87m0eT2BDwFPZeYbtk85M9+2kk2PBJYELzPztMz866qZ1arRKWDGq9Xrzl1imWvzp89a5v28aTPpukFPOnXrskz5DjvswIIFC3j88cdX61wlSZIkSVrbGbxUrUHAi5k5HyAzX8zMqTXXjwf+CxgSEZsCRMQwYHfg681Zbpk5PTO//zrmcSvVWYUts/1GRcTYmnojIuJvETG5OdOzVm0WYckOvbhkMU6KiPeV8gsiYlzJNj2zlH0WGAzcHBE315nHf0bEA+Xn86VsaEQ8HBEXlr5uiIgezf1FxENl3MtWZCEyszZa1hOo94St44Hf1Wtf5v39iLi7/DSv6yURcXRNvdk1zfpExNVlzj+NiFb/TtTWj4gvlXWdGBFnlbKTI+KeUnZlRKwfEW8DDgfOLtmiw2rnEREHlczd+yPiFxGxXs09nBkR95Zrw0v5fjWZp/dFRO8OLepy9O3apVXZrJcWAdA0d+Ey5U2vLaBLj9bb0TfYoIrdv/zyy6tiSpIkSZIkrbMMXqrWDcBmEfFYRPwkIvZrvhARmwGbZObdwBXAseXSDsDE5WzPHdZii/M+y5nHe4D7OzDfnYF3A3sBp0XE4HbqfgOYWbIYdwb+Vsq/Vp62tjOwX0TsnJk/AqYCB2TmAbWdRMRuwEeBPYA9gZMjYpdyeRvg/MzcAZgBvK+UnwrsUsY9pQP3tYyI+FREPEGVeVkvk/RY2gheFrMyc3fgx8APOzDk7lRB6p2AYcB725nbv1FlU+5RsmZ/UC5dlZlvLWUPA/+emf8ArgG+WLJGn6jppztwCXBsZu4EdAH+o2aoFzNzV+ACoPm4gNHAp0r26T7A3Drz+3gJTo97dcGiDtw6NNWEh2e9uIhnH5nHTf/3cnOH9VahVUlmvRizJEmSJElaUQYvtURmzgZ2Az4OTAcuj4gTy+XjqIKWAJfReus4sOTMzAkRUZux2XLb+G1tTOHSiJgAvJ2lAar2/Ckz52bmi8DNVEG3thwMnN/8JjNfKS/fHxH3AvdRBWK3r9O21t7A1Zk5p6zXVVSBM4ApNVu3xwNDy+tJ5d4+CHQsglYjM8/PzGHAl4Gv116L6kzS1zLzgXa6+F3N7706MOTdmflkZjaVNnu3U/dg4OLMfK3MtTnVcMeIuC0i7gdOoFrb9mxHtX6Plfe/BPatuX5V+V27rn8H/qdkyvbLzFZrm5k/z8xRmTmqd7fWGZUt3T19Bs/Nnc/2w6r3X37rZD6//aP07Fc9qbxrr/WWqd95/W4smrugVT+vvFJ9vZozMCVJkiRJ0soxeKllZGZTZo7NzNOBT7M0e/B44MSIeIoqe25ERGwDPFRedyrtv1My4fqsxPAnlODmkZnZfNbmIpZ+T7u3nO5y3teKltcjYkuqIOlBJSvyL3XGqNdPW2qfztJElT0IVXbo+VSB4fERsUwUrWxnnxAR1y5n7MuoshxrHUf7WZew7H03v16yrhERQLc26td7X6vVuhaXAJ8uWZRn8vrWFZau7ZJ1zcyzgJOAHsCdzdvJX49fTp5KlwhOKhvqv37dllz03PYc8vENAeg+ZNlgZPeN+7Lw5TksbpHV+dBDD9GtWze23nrr1zslSZIkSZLWaQYvtUREbFcCks1GAk9H9eTvnpm5aWYOzcyhwPeA4zLzcWAc8O2I6Fz66c7yg1Ed9RRV0A+WBlKbHRER3SNiQ2B/4J52+rmBKhhLmWN/qgDrHGBmRGwM/FtN/VeBemco3gocWc5w7AkcBbSVSUoJ6m6WmTcDXwL6Ab1q62TmR0vQ9l112td+Hu8GJrfo+xiqoGZ7jq35fUd5/RRL1/UIoPbgxt0jYsvS/7HA7e30fQPwsShPZo+I5uheb+C5iOhKlXnZrK11fQQY2nwmJ9VDiG5p76YiYlhm3l/OVx0HvK7g5YKmxVz25PO8a7ON6N2zKtt0eHf6bdyVfz4wD4D+u26xTJs+2w8mmxYzY9LS51otWrSIyy+/nEMOOYT11ls2U1OSJEmSJK2Y5e+j1LqkF3BeRPSjysx7nGoL+aeBq1vUvZIqaPYtquy3s4HHI+JlqrMHv1xTd1jZDt7sF+VcyY44E/i/iPgqcFeLa3dTZUtuDnwrM6dGxNA2+vk2cH5EPECVvXdmZl4VEfcBDwJPUm1DbvZz4LqIeK723MvMvDciLiljA1yUmfe1M25n4DcR0ZcqoHvuCj61/NMRcTCwkOqJ7h+pubYv8GxmPrmcPtaLiLuo/mdF83b/C4E/RcTdwE1UQdxmdwBnUZ15eSutP/slMvP6iBgJjIuIBcC1wFepzhi9C3ia6vzS5oDlZcCFZav30TX9zIuIjwK/L5mp9wA/Xc59fT4iDqD6PB8CrqtXqfmBQBt1r+Kz1z07nQHduzGgezf2G7Q0k/LPz0zn5fkL6du1Cxf+vir72SnPMGdGE4/fUx2n2TR7PjMmPUOXnuvRa9hAemzan74jNuO5a+7joosuYsstt+SCCy5gypQpXHrppcuZviRJkiRJWp7wwRLS2qts8x9VzgVdJ0VE3X/k9tukP2PfvfSY1CNuvJdr/jm9Q3323GoAw/7jQAAWL1zE89fdT+fHZjJjxgxGjBjB97//ffbff//XP3lJkiRJWkUiYnx5YK30pmLwUlqLGbxcatSAvjnuiI48rwgYPYarho9oVXzmOW3vTJ84enm79yVJkiRpzTF4qTcrt41La7FyPqkkSZIkSdKbkg/skSRJkiRJktSQDF5KkiRJkiRJakgGLyVJkiRJkiQ1JB/YI2mdMGrUqBw3btyanoYkSZIkrRE+sEdvVmZeSpIkSZIkSWpIBi8lSZIkSZIkNSSDl5IkSZIkSZIaksFLSZIkSZIkSQ3J4KUkSZIkSZKkhmTwUpIkSZIkSVJDMngpSZIkSZIkqSEZvJQkSZIkSZLUkAxeSpIkSZIkSWpIBi8lSZIkSZIkNSSDl5IkSZIkSZIaksFLSZIkSZIkSQ3J4KUkSZIkSZKkhmTwUpIkSZIkSVJDMngpSZIkSZIkqSEZvJQkSZIkSZLUkAxeSpIkSZIkSWpIBi8lSZIkSZIkNSSDl5IkSZIkSZIaksFLSZIkSZIkSQ3J4KUkSZIkSZKkhtRlTU9Akt4QT0+Gkw7tWN3RY7hq+IhWxWeeM7xDzSeOvmxFZiZJkiRJktpg5qUkSZIkSZKkhmTwUpIkSZIkSVJDisxc03OQpNUiIoYAXwZGBeyZwJT378vQ3j2W1Dnj3sc5874nOtzn+ltuxNafPKhV+bxps5h2w/3MfvwFui7uxOabb84nP/lJPve5z73+G5EkSZKk1ykixmfmqDU9D2lFeealpLXZ1sD7gfG9u3Zm1sKmVhVO2m4Ihw7ZiJNue4CNe6zHvpv0Z86uT3D2LyCi+tn6resz+5Umpj46n17bbNyqj9eeeZknf3YzPYcNZMgxb+Xij3yLyZMnM3v27NV/h5IkSZIkrcUMXkpam92amRsDDO3dI+sFL4f07M6Qnt25+V27M6BHNwB+vc0TkPDuz23In3/4Eh/4ziZcdtrzTH0U+mw/eJn2uTh55vK76LX1xgw9cW8ADjjgAA444IDVfW+SJEmSJK31PPNS0lorMxd3tG5z4BLgl3+Efht34cCPbQjAtCnzeWLcXAC69FhvmXZznnyB+dNmMWDf7VbFlCVJkiRJUo11IngZEU0RMSEiHoiI/xcR/VZx/0Mj4oE65Z0i4kdl3Psj4p6I2HIl+j88Ik5dTp39I+JtK9p3G30NiIi7IuK+iNinxbWuEXFWREwu93V3RPxbubZa9shGxEURsX0710+MiMFtXV+BcX4YEfuW12Mj4tGImFg+t5E19T5WPs9JZQ2OqLk2OiIeKeUTI+LDpfyyiNhmJefVuXwWf64pu7TM74GI+EVEdF35O19mrLER0eoMlLLGPy6vT2m+rxXsu19EfLLm/eCI+MPrm/Gq9+ycedx8N+xzQn8e+fscAF6ZuoiF8+ufDzxnyosALF7UxOPn3cikL1/BwIED+exnP8vcuXPfsHlLkiRJkrQ2WieCl8DczByZmTsCLwOfeoPGPRYYDOycmTsBRwEzVrSTzLwmM89aTrX9gVUSvAQOAh7JzF0y87YW174FDAJ2LOv5HqD3Khq3rsw8KTMfaqfKiVTr3EpEdO7IGBGxAbBnZt5aU3xCZo4AfgKcXeoNAb4G7J2ZOwN7ApPKtVOAdwC7l7XZF4jS1wXAlzoylzo+BzzcouxSYDiwE9ADOGkl+15hmfnTzPzVSjTtBywJXmbm1Mw8etXNbNX49eNTWbwYdjm0F5edNo2dD+7Fw7fPoUfv+v9cLpxVBSj/+Zs76LXtJmz18f350pe+xEUXXcQHPvCBN3LqkiRJkiStddaV4GWtO4BNAaJydk1m5LGl/NctsukuLdmPQyPitoi4t/wsL1g4CHiueetqZj6bma+UPo8vYz4QEd+vGevQ0vfEiLiplNVmvQ2IiCtLNuA9EfH2iBgKnAJ8oWSY7hMRU5qz8SKiT0Q81TI7LyK2iIibSgbhTRGxeckw/AHwrtJXj5r66wMnA5/JzPnlnqZl5hU1db5T5n5nRGzc1pxL+RkR8cuIuKHM770R8YOyLtfXzH9sRIwqGYiX1HxeX4iIo4FRwKXN8y19nRYRtwOnRsS9NfPbJiLG1/msjgaub+NzXPKdAQYCrwKzy/3Pzswp5dpXgU9m5qxybWZm/rJcuw04OCJW6JzZEix9N3BRbXlmXpsFcDcwpE7bEyPiT2UtH42I00v5MpnCJVv0jJqmH4yIf5R13r1Ov2dExOjyeuuI+Gv5zO+NiGER0at8n+4tn1Pz39JZwLDyOZ1dO4+I6B4RF5f690XEATX3cFW5h8kR8YNS3uq7sCLr2p5fTZ7KztvBpV95ns5d4IPf24T7/zqbbfZYv36DrDIy++26BZu8cyd6DRvI6NGjOf300/njH//IQw+1F3eXJEmSJEntWaeCl1Fl4R0EXFOK3guMBEYABwNnR8QgqkDRR0ubvlQZjdcCLwDvyMxdqbIqf7ScIa8A3lOCNf8dEbuUPgcD3wcOLOO/NSKOjIgBwIXA+0rG3zF1+vxf4NzMfCvwPuCizHwK+GkpH1myJcdSBb0AjgOuzMyFLfr6MfCrkkF4KfCjzJwAnAZcXvqq3fe6NfDP5uBcHT2BO8vcb6UKdNadc02bYWWeRwC/AW4uWapza+bfbCSwaWbuWOpcnJl/AMZRZUnWzndeZu6dmd8BZsbSbd8fBS6pM/e3A/WCmgCHAn8srycC04ApJdj2HoCI6A30zswn6nVQAtiPU33XVsQPqTI2657dWAK8H6LtwOvuwAlUa3dM1NkSXkfPzHwbVZbkL5ZT91Lg/PKZvw14DpgHHFX+Tg4A/jsiAjgVeKJ8Tl9s0c+nAMrnejzwy4joXq6NpPp72wk4NiI2o853od7kIuLjETEuIsa9umDRcm/87ukzeGTmHObOg2lPLuAbY7bi/r/NYfFi2O5tPeu26bx+dQZm722XfQr5IYccAsCECROWO64kSZIkSapvXQle9oiICcBLwAbAjaV8b+B3mdmUmdOAW4C3ZuYtwNYRMZAqkHJlZi4CugIXRsT9wO+BNs9hhCrTEtgO+ApV8OmmiDgIeCswNjOnl34vpdpivCfV05GnlPYv1+n2YODH5X6uAfqUwFlLSwKw5Xe94M5ewG/L61+X9Xg9FgDN5zKOB4Z2YM7XlaDq/UBnlgbh7q9p3+xJYKuIOC8iDgXaCqICXF7z+iLgoyV4fSxL77nWIGB6i7JLI+JZ4MvAeQCZ2UQVzDwaeAw4t2QtBlD/UMSlXqCN7e31RMRhwAuZ2VZQFaot7bfW2d7f7MbMfKkEda+iY5/x7wDKFvo+0cYZseUz3DQzry7152Xma1Rr8d2ImAT8lSprdeN6fdTYm+o7SGY+AjwNbFuu3VSyWOcBDwFb0MHvQmb+PDNHZeao3t2Wn/T6i8f+RQD/egG+du2WbLFTD8b+6hWGjujORpvVP1a0+8Z9mlek5dgAdOq0rvwzK0mSJEnSqreu/Ff13MwcSRX06MbSMy+j7Sb8mipjrTbw9wWqrLsRVFuVu9VvulRmzs/M60qm2XeBI9sZtyMBsE7AXiV7bWRmbpqZr9YZ9+/A0IjYD+icma0eKFRvusu5/jiweRvBUoCF2RyxgSagOVrU3pybt58vbtF+cU375nt6hWrtx1J9hstspW5hTs3rK4F/Aw4DxmfmS3XqzwW6tyg7AdiSKth5fs08MjPvzszvUWW1vq9ko86JiK3amVP3Ms4SEbFHycydEBGHt6j/duDwiHgKuAw4MCJ+U9P2dGAA8J/tjNnyM01gEcv+7be873pt6mnre3xCmddu5e9uWp0xOtoXlO9I0QR0WcHvQofMW9TExSV4ec35sO2ePXl83Gs88+A89v/IBm226z18ENGlE68++twy5WPGjAFg1KiOJLtKkiRJkqR61pXgJVCdQQh8FhhdttveSrUNtXPZsr0v1fmBUG0t/nxp92Ap68vSMyw/RJUp2KaI2LVsESciOgE7U2WU3QXsFxEblWzA46myPu8o5VuWNvUiJjcAn64Zo3k79Ku0fnDOr6iy6OpuqQX+QRV8gyrgdHt791Oy6v4P+FFEdCvjD4qID7bXrp05r5CI2AjolJlXAt8Adi2X6t177bznAWOoHprT1lo8TLUtvmXbhcDXgT0j4i1RPSF715oqI6k+U4DvAedHRJ8y3z4R8fGautsCD9a8JzPvqgnqXtPi2lcyc0hmDqX6nP6WmR8sfZ8EvBM4vvlM1Ta8IyI2iOrs0iOBv1MFEwdGxIYRsR5VULdW89mvewMzy99NKyVg+2xEHFnqrxfVuah9qTJGF5azK7coTdr7nG6l+g4SEdsCmwOPtnVT7XwX6tU9OiKOnrOoCYDrnp3OH6Y8zy3PLZvYfMRf72PB4uSooRvTswc8ducc/viDF4hO0LRoMU+Mr+LOr/5/9u47Sq+qXPz490kvk15IIEAgAQIhJECoSpViQUGvSlNBRRFE1J8B7/UqAuq9cC9evcpVREAUpUiTIk2QXhNIo6fRQgkhjfRk5vn9cc6EN5OZzCQk5A18P2tlzfvus88+++xzZtbi4dl7P/sacya8zPwpMwBo07k9fQ/YnrcemcJrt07g7edf55xzzuHss8/muOOOY/DgVV4rSZIkSZLUQmu0ecj7QWaOjYjxFMGgP1NMnR5PkV12ema+XtZ7IyKe4Z21DqGYonttRHwOuJuVs/sa05dimnn78vtjwPmZuTgi/q1sI4BbMvMGKNboA64rg50zKHavrnQqRYBsAsXzu49is56bgGvKzVG+VU4j/gvwU8ppwI04FbgkIk6jmDL95SbqVfph2ebTEbG4HIMzmjmnqT6vqc2AP5RjA8V0fCgCzRdExCKK59mYv1CscXpHE8f/DpxIIxl8mbkoIn4OjALOBs4rg9KLKcat/l5+C9QAoyNiGbAM+DlAFJsXLcrM1xq2v5YuoAiaPlwsJ8l1mXl2I/UeoMgiHgxcnpljyv6cTRFEnwY82+Cc2RHxENAV+Eoz/fgi8LuyvWUU67T+BbgpIsYA4+rbz8y3IuLBKDbpuZWKbFaK360LyiUZlgPHZ+aS8t4a09S70JirAWYuLpZ8PfmhYuP2/fr14J5PvLMf0f2vzwbg2hfe4NqjoUg0Llx2+usrPk+/vpjF33nrPtScdCAAfQ8eSqv2bXnr4cnMvP0Cf8EAACAASURBVPc5frvZNE477TR+9KMfraZbkiRJkiSpOfHOLF1VKjPIJgK7NJV5Vu2i2In78Mz84obuy4YWxe7Y3TKzyWhSFLuTH5aZc9bD9b8LzMvMi9d126u55vHAyMw8pbm6HwQj+3TLMYc3FdtuYNTtXDdk1b2VzjpvSItOHz/qyjXpmiRJkiStdxHxeGa6rpU2Oh+4zMuWiIiDKHZZ/p+NOHD5a4p1Hj++ofuyoUXE9RS7mh/YTNXvUUxXXufBy7LNy9ZDu5IkSZIkSe9bBi8bkZl3UgSxNlqZ+a0N3YdqkZmfbmG9R9djH5paa3O9ycxLKabUS5IkSZIkbZQ+UBv2SJIkSZIkSdp4GLyUJEmSJEmSVJUMXkqSJEmSJEmqSu42LukDYeTIkTlmzJgN3Q1JkiRJ2iDcbVwbKzMvJUmSJEmSJFUlg5eSJEmSJEmSqpLBS0mSJEmSJElVyeClJEmSJEmSpKpk8FKSJEmSJElSVTJ4KUmSJEmSJKkqGbyUJEmSJEmSVJUMXkqSJEmSJEmqSgYvJUmSJEmSJFUlg5eSJEmSJEmSqpLBS0mSJEmSJElVyeClJEmSJEmSpKpk8FKSJEmSJElSVTJ4KUmSJEmSJKkqGbyUJEmSJEmSVJUMXkqSJEmSJEmqSgYvJUmSJEmSJFUlg5eSJEmSJEmSqpLBS0mSJEmSJElVyeClJEmSJEmSpKpk8FKSJEmSJElSVWqzoTsgSe+JFyfBCR9du3NH3d6iatcNGd5snbPOG7J2fVjHxo+6ckN3QZIkSZKkZpl5KUmSJEmSJKkqGbyUJEmSJEmSVJWcNi7pfS0iPgsc3a5V0PHSf7BFTQc+s+Um/GD41nRpV/wJfHzmXP59zCQmzp7PW0uW0b1dG7bv1pneHdrxyoLFjP8LLFoM0+6EgZu90/Yrr8O5F8H9Y+DJSVBbN5627aDPwPYcenIvDvt2H2a8uJRLTp3OtHGLmDdjObWtnqFDv270OWB7ug7pv0p/50+ZwdQL7l6lvFWHtuz4k88AsPCVWbx+60QWvz6X2oVLaN2hHR0H9KDvR3ag88De62UcJUmSJEnaEAxeSnq/GwW8tGmnDly6746MfWseZ46dwt2vzeKhT+5BqwjmLF3O4K6dOH6bzejfqT0zFi/lzCcmc8/rs9mrbzf22RXueHDVhie/BJffDHPnQ89u8OZsOPnSLVj8dh2L59cBsHh+HV16t+Hon/aj14B2/OGP/Zn12BReuPg+tvzSh+g2bECjnd708J3puHnPFd+j1TuJ8rWLltG+dw09d9uKNl06sHz+Embe/xxTL7ibQScfSKcteq3TAZQkSZIkaUMxeCnp/e6TmfnmyD7dcr/+Pdmvf096tm/Lcfc9yT2vzeLATXvxkfJfpUM27UXfy+9m197dGH7o3EaDlx/eBfr1hn1Hwif2g6+dAUP26kzfge1W1NliaAe+efHmK753e3wzum7fn2f/82ZmjZ7WZPCyfd+udN6y8SzKLttsQpdtNlm5bLt+PH3m35j9xAsGLyVJkiRJ7xuueSnpfS0z32xYtlufbgBMX7CkyfO6tGtD+9ataBvRZJ37xsDTU+D/Hb9mfYrWrWjVoS3Ruum211Srdm2INq1WytCUJEmSJGlj53/l6l2LiPkVn4dGxD8j4vmImBQRP4oooj8RcXxEvBkR4yLi6Yj4WiNt7R8RcyNibEQ8ExE/XpPrNyi/tFzvkIi4KCJ2WE0b90TEyEbKR0bEr5rrw7sVEadExOSIyIjoXVEeEfGr8tiEiNil4lhtOZbjIuLGddSPgRHxZBPHVoxRRNwSEd3Xov39I2Lviu/fiIgvrX2P1869r80GYPvunVcqr8tkWV0dL81fxCkPPQPACds1nhkJ8MDjxc/FS+A/fld8Pm3X57n41OksWVS3ctt1Se3yZNm8Rbzxj6dYOnM+vfbepsm2X77iESac/lee+vH1vPSXh1k6e8EqdbIuydo6ls5ewKt/KzrTc4+tV3/zkiRJkiRtRJw2rnUmIjoCNwInZeYdEdEJuBY4Gfi/stpVmXlKRPQFnoqIGzPzjQZN3Z+Zh0VEZ2BcRNycmY+/m75l5glred4YYMy7uXYLPQjcDNzToPxjwDblvz2A35Y/ARZl5oj3oG+ryMyPr+Wp+wPzgYfKdi5YV31qqekLFnPGE5M5aNNejCwzMOt9/p/jufaF4nXs26EdtxyyKzv0qCk624hXy5zOI78HHxoB06bDISf25OZfzmTmy0v5/vVbrah72emvcePP3wQm0Kp9G7Y4dq9Vpn4DtO7Qlt77bkfNoD60at+WRa/OZsZdzzD//LvY9ruH0Kamw4q6L/35IeZOfAWANjXt2eqr+9Jhk26rtClJkiRJ0sbKzEutS8cAD2bmHQCZuRA4BfjXhhUzcwYwBdiyqcYycwHwODCozNo8v/5YRNwcEftXfP95RDwREXdFRJ+GbdVnDUZE6zIj88mImBgR362o9rmIeKzMGt2nPG//iLi5/HxmRFxStjU1Ik6taP9HEfFsRPwjIq6IiFEtHLP6ex2bmS80cuhw4E9ZeAToHhGrblHdhLKvv4yIh8p73r3iXkZV1HsyIgaWX9tExB/LTM9ryiB0w3ZfqM8QjYgvlXXHR8RlZdknI+LRMoP2zojYpGz/G8B3y2zRfSr7EREjIuKRsq3rI6JHxT2c28izGVqWjSvPaTqNsTR/2XIOv3MsbVoFf9h3x1WO/9du2/LYp/bk2o+MYMceNRz2jycY8+bcJturK5Mrv/BJOPwjxeeDv96bz/+4H4/9bR4vP714Rd3DvtObc0dvw8Av70OX7frz0uUPM+/pV1dps+NmPdj0kyPousNm1AzqS599tmOrE/Zl+fzFzHxg0kp1+31iOINPPYgtv/QhOvTrxrRL7mfhy7OaGwZJkiRJkjYaBi+1Lg2lCDaukJlTgJqI6FpZHhFbA1sDk5tqLCJ6AXsCTzVz3c7AE5m5C3AvsLqp5iOAzTJzx8wcBvyh4libzNwd+M5q2hgCHArsDvw4ItqWU6n/BdgZ+AywyvTzd2Ez4OWK76+UZQAdImJMGfA7YjVtdM7MvSkyYC9pwTW3Ay7MzJ2AeeV5jYqIocC/Awdm5nDg2+WhB4A9M3Nn4Erg9DI4ewHwi8wckZn3N2juT8D3y+tOZOVn0Niz+Qbwv2X26UiKsWnYv6+XYzRmxsIlfOofY5k6byG3H7orAzp3aFidrbt2Yrc+3fjMwE249dBd6duhHT98fNIq9er1KifOH7z3yuXDD6kB4IVxi96pO6Adg0d2ousOm7LlF/em0xa9eO3mcU22XanTgJ60791llcBk+141dNq8F92GDWDgV/elTU17Xr9tYovalCRJkiRpY2DwUutSANnEsfryIyNiHHAFcGJmNpYmtk9EjAXuAM7JzOaCl3XAVeXnPwMfXk3dqcDWEfHriPgoRXCu3nXlz8eBgU2c//fMXJKZM4EZwCbl9W7IzEWZ+TZwUzP9XRON7ehSP5ZbZOZIiozXX0bEoCbauAIgM+8DurZgrcqXM7N+b+3mxvNA4JpyPKh4ngOA2yNiInAaRWC7SRHRDeiemfeWRX8E9q2o0tizeRj4QUR8H9gyMxfRQGZeWI7RXnOX1fLYm3O55dBdGdazy+q6A0C71q3YqWcXJs9b2GSdoYPL/q9y4bJ8NX9hOw7oyZK3Gl2utQlN/WoVWrVpTcf+3Vm6Rm1KkiRJklTdDF5qXXqKBlmHZYbl/DKoB8WalyMyc4/MvL6Jdu7PzJ0zc9eKNRGXs/L7umra3DuajPJk5mxgOMXakt8ELqo4XL/1dC1NrwdbuT11fb1mt4wup6vXb65zdnP1K7wCbF7xfQDwKkBm1v+cSnE/OzfRRsPxSFY/no3Vb0pTAetfA+eX2a0nsvrn1RKrPJvMvBz4FLCIIlB6YKMdjGgF/OXtZcu54eCd2bNvy/YZWri8ljEz5zKo6yqz5lf42D7Qvh3c9sDK5eNuL173QSMbPzfrkoUvvEm7XjUt68vLs1jy5nw6bdGryTp1S5ez8JVZLW5TkiRJkqSNgRv2aF36C0Um3EGZeWe5gc+vgP9aB22/AJxcBqI2o5i2Xa8V8FmK6cnHUExZblS5TuPSzLw2IqYAl66Dvj0A/C4i/pPid+oTwO8rK2RmLcWU9TV1I3BKRFxJsVHP3Mx8rVwPcmFmLinv6UM0Pc5HAndHxIfL8+dGxAvAYQBR7GC+VUX9LSJir8x8GDia1YwncBdwfUT8IjPfioieZfZlN2B6Wee4ivpvA10bNlL2aXZE7FNOJ/8ixRIATSoD41Mz81fl552AfzZS9f+Az23SsR2d27TmkRlzVhwY0LkDAzp34MQHnqJn+7aM7N2V3h3a8eL8RZz/9EtMX7CYr247gMefeguAW++DPj2hTw/Yb3fo1QM+dSD89koYvl3R5iXfmc7YW+Yx4tAa+g9uz1Vnvs78WbUM+VAnuvdry5xxLzHrsaksfHkWWxyz1yqdfenyh2nXs4aOm/Wgdce2LJo+mxn/fIa23TrS+8PFsp6vXDOa1p3a02lAD1p3bs+y2QuY+dBkls9bzBZH7bm6YZMkSZIkaaNi8FLrTGYuiojDgV9HxP8BrYHLgPNXf2aLPAhMo1gL8UngiYpjC4ChEfE4MJciWNeUzYA/lEFQgH97tx3LzNERcSMwHniRYnfypnd5aUS5+c/pQD9gQkTcUu6QfgvwcYq1QRcCXy5P2Z4iYFpHEbw9JzOfbqL52RHxEEXQ8Ctl2bXAl8op/KOB5yvqPwMcFxG/AyZR7HDe1L0/FRE/A+6NiFpgLHA8cCZwdURMBx7hneDoTcA15XvyrQbNHQdcUG4QNLXiXptyJPCFiFgGvA40ldH6MYDXFy1lr5seXenAj3cexJm7DGaPvt246LnpXPjcKyxYXstmndqzR59ujJ45jzOemLzibTu5vMJ+u8E9fyo+X31b8XPsM8XP0TcUKxEsXVQkpG69S0du/uVMHrhyDgvn1hKdXqPDpt0ZdNKBdN5qlb2l6NCvG3PGvsTMBydRt3Q5bbt0oNuwAWxyyI606dwegE5b9GLWY1OZ9eiUok7XjnTaohcDPrcbHfu3LLNUkiRJkqSNQWSufh01Sc2LiJrMnF8G3u4Dvp6ZTzR33nvQr3uAUZk5ZkP3ZUMb2adbjjl81UzHFhl1e4uqXTdkeLN1zjpvyNr1YR0bP+rKDd0FSZIkSe+hiHi83BNA2qiYeSmtGxdGxA4Uazv+sRoCl5IkSZIkSRs7g5fSOpCZx2zoPjQmM/ff0H2QJEmSJElaW+42LkmSJEmSJKkqGbyUJEmSJEmSVJUMXkqSJEmSJEmqSu42LukDYeTIkTlmzAd+03VJkiRJH1DuNq6NlZmXkiRJkiRJkqqSwUtJkiRJkiRJVcngpSRJkiRJkqSqZPBSkiRJkiRJUlUyeClJkiRJkiSpKhm8lCRJkiRJklSVDF5KkiRJkiRJqkoGLyVJkiRJkiRVJYOXkiRJkiRJkqqSwUtJkiRJkiRJVcngpSRJkiRJkqSqZPBSkiRJkiRJUlUyeClJkiRJkiSpKhm8lCRJkiRJklSVDF5KkiRJkiRJqkoGLyVJkiRJkiRVJYOXkiRJkiRJkqqSwUtJkiRJkiRJVcngpSRJkiRJkqSqZPBSkiRJkiRJUlVqs6E7IEnviRcnwQkfXbdtjrp9xcfrhgznrPOGrFUz40ddua56JEmSJEnS+4qZl5IkSZIkSZKqksFLSZIkSZIkSVXJ4KUkSZIkSZKkquSal5I+UG5/ZSbnTpjG03PmM3vJMvp0aMfem3TnzJ0Hs0OPmhbXAbjmdrji73DT3bBs+XiI8RBBux6d6bbT5vQ9cHtad2gLwNuT3mD26GksfHEmy+Ytpm3XDtRs249+h+64QcZBkiRJkqSNgcFLSR8os5YsY9feXTl5+83p06EdL81fzDkTprLnTY8w8dMfYssuHVtUB+C8S4o26+qKn+37dmXp7AVkbR1vPTyZBVPeYNA3DyJaBbMemUzdkuX0PWgH2vWsYcnMt3njjqeY//zrzB81n5qamiZ6LEmSJEnSB1dk5obugyStdyP7dMsxh+/V6LHn5ixgyLUPcN7u2/G9YQNbXGfy527nw1+As06Bb5wJfT+yA+171/DyVY/R54AhvHn3s2x94v7UDN6E5fMX06amw0ptzp86g6m/vZuLL76Yr3zlK+vwbiVJkiRpZRHxeGaO3ND9kNaUa15K+sDrVU7tbtsq1qjOf10MQwfDiUe+U6/j5r0AaN2hHQDL5i4CWCVwCdBp854ATJ8+/V30XpIkSZKk9y+Dl1rvIuLTEZERMaSibGBEPFl+3j8i5kbE2Ih4JiJ+3EgbAyNiUUSMi4inI+KCiFjt+xsRL0RE70bKz4yIUeXnsyPioNW0cWlEfLaR8k0j4prV3/m6ERHfiojnIuKpiPivsqxXRNwdEfMj4vx1eK39I+LmJo6tGM+IeGgt2z8iInao+L7a8V+fauuSpbV1TJq7gBMffIp+Hdtx1Nb9Wlzngddn86cb4DdnrNzugqkzinMXLwWKqeRNWTDlTQC23377dXVbkiRJkiS9r7jmpd4LRwMPAEcBZzZR5/7MPCwiOgPjIuLmzHy8QZ0pmTkiItoA/wSOAK57Nx3LzDOar9Xoea8CqwQ117WIOAA4HNgpM5dERN/y0GLgR8CO5b/3VGbuvZanHgHcDDxdtrNW478u7HHTIzw+cx4Ag7t24p8f342+Hdu3qM6yujpOfPApRn0Zttvqnfq1i5fx1iNT6LRVb2Y9No2abTZZkV3ZUO3iZbx641ja9+3KEUccsX5uUpIkSZKkjZyZl1qvIqIG+BDwVYrg5Wpl5gLgcWDQauosBx4CBjfMFIyI8yPi+Irqp0XEY+W/wY30b0VmZUScU2Z1ToiI8yqq7RsRD0XE1Iq6lZmjx0fEdRFxW0RMqs+OLI99NSKej4h7IuL3a5EleRJwTmYuKe99Rv04ZeYDFEHMJpXZkuc2HIOGGaURMb/itK4Rcf3qMlwr60fE6RExMSLGR8Q5ZdnXImJ0WXZtRHSKiL2BTwH/XWbQDmow/h8ps28nRsQlEdG+4h7OiognymNDyvL9ynbGled1WZOBvWy/YTzyyT24fP+d6Nq2DQffOoYX3l7Uojrnjp/Goto6/v0bK7c5d8LL0ArqFi0jWgcDPr97o9fO2jpeuvxhls1bxBbH7kWbNv5/JEmSJEmSGmPwUuvbEcBtmfk8MCsidlld5YjoBewJPLWaOp2AjwATW3D9eZm5O3A+8MvVtNkT+DQwNDN3An5acbg/8GHgMOCcJpoYARwJDAOOjIjNI2JTiuzIPYGDgSFNnLs62wL7RMSjEXFvROy2Fm20aAwq7A58j+JeBgGfaapiRHyM4hnvkZnDgfrA7XWZuVtZ9gzw1cx8CLgROC0zR2TmlIp2OgCXAkdm5jCKrPCTKi41MzN3AX4LjCrLRgHfzMwRwD7AypHHot2vR8SYiBjz5qKlKx3bvnsNe/TtztGD+nPXx0Yyf3kt50yY2mydf3/8eX42fio/2WUwS5bCnHnwejH7m+ULl9C2a0eWzV3IVifsR7vunVYZs6xLXr7qUeZPeoMtj/swHTft3tTwSpIkSZL0gWfwUuvb0cCV5ecry++N2ScixgJ3UGQaNha8HBQR44AHgb9n5q0tuP4VFT8b32q6MI8ii/GiiPgMsLDi2N8ysy4znwY2aeL8uzJzbmYuppgSvSVFEPDezJyVmcuAq1vQ34baAD0oAqCnAX+NiKZ3lWlcS8eg3mOZOTUza8tzPryaugcBf8jMhQCZOass3zEi7o+IicCxwNBmrrkdMK0McgP8Edi34nj98gCPAwPLzw8C/xMRpwLdy4zclWTmhZk5MjNH9unYrsmLd2/flsFdOzF53sJm6zw7ZwGLa+v4wr0T6bEH9NgD+tf3tDZZPH0O/T+1Mx37Nx6UnH7dGOaMf5ktjt2LLts09TpJkiRJkiRwzUutR2UW5YEUgawEWgMZEac3Uv3+zDysmSanlFl2lZazchC+4ZbO2cTnlStlLo+I3SkyOo8CTin7DrCkompTgcPKOrUUv1stCjJGxO0UQdExmXlCg8OvUGQxJvBYRNQBvYE3W9J2qbExWDFuZTC0XRP1G/u+UvebOH4pcERmji+n8e/fTB+bG6v68a0fWzLznIj4O/Bx4JGIOCgzn22mnUa9sWgJz85ZwLGD+jdb57MDN+HnexRJtHWfG83Zv4EHx8Ly5cVd9P/EcLoNG9BoG6/eNJZZj01l8yP3oNuOjdeRJEmSJEnvMHip9emzwJ8y88T6goi4lyKT7+V1dI0XgR3K9RE7UAQfH6g4fiTFVO8jgYebaqRcm7NTZt4SEY8Ak9dB3x4DfhERPYC3gX+hkanumXnoatr4G0UQ9Z6I2JYiyDhzDfvR2Bi8AOwK/JViQ6C2FfV3j4itKMb2SODC1bR9B3BGRFyemQsjomeZfdkFeC0i2lJkXk4v679dHmvoWWBgRAzOzMnAF4F7V3dTETEoMycCEyNiL4pp+c0GLz9951h26dWVnXp2oWvb1jw/byG/ePJF2rQKvjdsYLN1fjBia7bt1hmAk26De0fDLjvAE09Dh37daNWhLXPGvUSbmg60qWlP226daNe9EzPufoaZ9z1Pj922ol3vGha8+M5jnDJlCoMGNbnMqyRJkiRJH1gGL7U+Hc2qa0ReCxwDnLsuLpCZL0fEX4EJwCRgbIMq7SPiUYosw6amrEMRULuhXHsxgO+ug75Nj4j/AB4FXqWYTj53DZu5BLik3BxoKXBcmYVJRLwAdAXaRcQRwCHl1PaGGhuD31Pc72PAXcCCivoPUzy3YcB9wPWrucfbImIEMCYilgK3AD+gWOvzUYoA6ETeCVheCfy+nOr92Yp2FkfEl4Gro9hNfjRwQTNj850odmOvpRjbliwjwJ59uvHXaW/w8ydfYGltHZvXdGD/fj35t+FbM7BLxxbXAbj1/uLnE+WoL35tLtOvGbPS9foePJR+h+zI28++BsDs0dOYPXraSnV+8vZPuPTSS1vSfUmSJEmSPlCijINIWg8ioiYz55cBueuBSzKzyWDgerj+C8DIzFzTbM33nZF9uuWYw1uy5OcaGHX7io/XDRnOWeetzZ5MMH7Ulc1XkiRJkqR3ISIez8yRG7of0ppywx5p/Tqz3GToSWAaxTRwSZIkSZIktYDTxqX1KDNHbeDrD9yQ15ckSZIkSXo3zLyUJEmSJEmSVJUMXkqSJEmSJEmqSgYvJUmSJEmSJFUldxuX9IEwcuTIHDNmzIbuhiRJkiRtEO42ro2VmZeSJEmSJEmSqpLBS0mSJEmSJElVyeClJEmSJEmSpKpk8FKSJEmSJElSVTJ4KUmSJEmSJKkqGbyUJEmSJEmSVJUMXkqSJEmSJEmqSgYvJUmSJEmSJFUlg5eSJEmSJEmSqpLBS0mSJEmSJElVyeClJEmSJEmSpKpk8FKSJEmSJElSVTJ4KUmSJEmSJKkqGbyUJEmSJEmSVJUMXkqSJEmSJEmqSgYvJUmSJEmSJFUlg5eSJEmSJEmSqpLBS0mSJEmSJElVyeClJEmSJEmSpKpk8FKSJEmSJElSVWqzoTsgSe+JFyfBCR9dv9cYdfuKj9cNGb7SobPOG9LkaeNHXbneuiRJkiRJ0sbMzEtJkiRJkiRJVcngpSRJkiRJkqSqZPBSkiRJkiRJUlVyzUtJHzi3vzKTcydM4+k585m9ZBl9OrRj7026c+bOg9mhR82Keg++MZuznpjCuFlvs7i2lsFdO3HKDlvwlW0HrKhzz2uzOOCW0cWXiyuvMr7BVcdTs20/tv7afitK6pbV8vrtE+n/8/7MmTOHESNGcO6557Lvvvuu+5uWJEmSJGkjZOalpA+cWUuWsWvvrpy/1/bc8dGR/OfIbXlq9nz2vOkRXnx7EQATZr3NQbeOYVnW8fsPD+Xaj4xgt97d+Or9T/HbZ15apc1f7TmEh6+Ay/8bRn0ZOnZtxbZ7dWKbPTquqNN16KYrnfPK1Y8x69GpnH322dx8883079+fQw89lHHjxq3fAZAkSZIkaSNh5qWkD5yjB/Xn6EH9VyrbvU83hlz7ANe88AbfGzaQK6e+Rm0mNx28CzVtiz+VB2/Wm/Gz3uZPk17lpO23WOn87bvXsOcI2HMEHPlx2OuSYQDcedFbTHr0FWgVdB/xzjmLXp3NnLEvMeDzu/G1r30NgP3224+hQ4dyxhlncOONN67PIZAkSZIkaaNg5qUkAb06tAWgbasAYGlt0rZVKzq2br1Sve7t2lDXTFutKv6yLl+aAHTZZhPadGq/onzeU68SrVvRffg7Ac02bdpw1FFHcfvtt7NkyZJ3cTeSJEmSJL0/NBu8jIgBEXFDREyKiCkR8b8R0a6Zcz4VEf/axLH5Db73iohx5b/XI2J6xffVXqeRtn8aEd9Zk3NW09afI+KItTz30xFx2jroQ+eIuCciWkXETRFxWMWxKZVjXD6jT62mrYMi4m/l5wMjYs93278mrvNKRHQvP+8eEdMiYqeIOCEifrk+rtmCPq30LCOiTUTMeRftvRIR3SOiZ0R8o6J8xRg3cs7VEbH1WlyrZ0RcFxHPRsQzEbF7Wd4rIu4qfy9vj4hua3s/Da73QESMaKR8xfOLiG9GxLFr0XbD8do8Iq56dz1+d2rrkqW1dUyau4ATH3yKfh3bcdTW/QA4fptiivepjzzDqwsWM2fJMn7/7Mvc9eosvjt0y1XaOvaeCbQeCr32hGNGwZsvLQVg6hPFNPSuwwasVH/xG3Np27MzrdqtnAA/dOhQli5dyuTJk9f5/UqSJEmStLFZ7bTxiAjgOuC3mXl4RLQGLgR+BjQZnMvMG4EWzXnMzLeAEeX1zgTmZ+Z5Lep9lcrM69dRUycAV2dmXUQ8BOwN3BwRmwBz7SUQcgAAIABJREFUgL0q6u4JfLWF7R4IzAQeaWlHIqJNZi5fg/ojgKuAz2XmhPqg23shIlpnZu17cKmewDeAC1pQ9wKK35mT1vAavwZuzMzPlMH8+gUU/x24NTPPi4gfAqeXZetdZv7fWp660nhl5svAkeuqX2tjj5se4fGZ8wAY3LUT//z4bvTtWGRH7tizC/d8fDc+fedYfvPMy0CRlXnBh3bgqIop593atuF7Ow5kv/496PqFsYx9Bv7jQrh9r0mcN3Zbnnt4AQA1W/dd6dq1C5fSpmPbVfrUs2dPAGbNmrXub1iSJEmSpI1Mc5mXBwKLM/MPAGVA6LvAVyKiU0Q8GhFD6yuXWYK7RsTxEXF+WbZVRDwcEaMj4idr2sGIOC4iHiszMX8TEa3K8k9ExBMRMT4i7qg4ZVhE3BsRUyPim2XdwRHxZERcHBFPRcStEdGhPLZLeR8TIuLaxjLYIuLg8voTI+L39RmhZYbpcxFxf0T8uiKzsTJLbZMyc25MeR97luUHln0fV95H50Zu/1jghvLzgxTBS8qffwM2LdvaBpiTmTMjomNE/LHs6xMRsdK2xRExiCIoelp57b1X08efRsTvIuIfwB8iYlj5HMeV49VUJuFQ4HrgmMwc08h4NsyEnF/+vDAiPl5+vikiLiw/n1gGtht9H6LMpCz7+xiwRoHSiPjXss0JEXFGRflNEfF4+c6c0Mip5wDblX05pyzrUo7lcxHxp4q69wAfLf8HQEv71RPYIzMvBcjMpZk5tzx8OPDH8vMfgVWyhMv38PooMjOfK4Oc9b8P4yrq/Wv9sdLx5e/sxIgY2Ui7KzKcI2LbiPhn+S4/EREDI6JrWfZEOab1GcMrjVdlP5p6b8t7uKa8h0kR8Z9leZuIuKys/2REnNrSca102X7DeOSTe3D5/jvRtW0bDr51DC+UG/ZMmruAf7lrHEN71HDTwTtz58dG8o0hm/ONB5/mL5NfXdHGzr27ct4e2/HJLfqy3+7wnePgtgthzhvLueZnbzD9mWL6d7Ru7M9trFKSmWtzK5IkSZIkvS81F7wcCjxeWZCZ84CXgMHAlcDnASKiP7BpZj7eoI3/pcjc3A14fU06FxE7Ap8G9s7MERSZokdFRD/gt8CnM3M4cFTFadsCB1NkIp5dESzaDvhlZg4FFvFOsOfPwPcycyfgOeBHDfrQCbgE+JfMHAZ0Ar5elv8GOATYF+jXxG38CvivzBxJMVYXleWnAV8v72tfYHGD63YABmTmK2XRaGBERLShCF4+DEyOiG3L7w+W9U4FlpZ9/SJwWVRMv8/MKWUf/jszR2TmQ6vpI8DOwCcz84vAycB5ZZ93A16lcTcBJ2bmw00cb8p9wD4REcAmwLCy/MPA/U29D2WdbsATmbl7E9f9RRk0GwesCKiWwdItgD0oMoD3joj6IPFxmblrea//LyJ6NGjzX4HnynGsn8K/C/BNYAdg+/pAcBn4fwHYcQ3GY2vgzYj4U0SMLYO7ncpjvTLzzfLzdKB/402wO8UY7QIcE41MCW9E+8zcC/g2K78LjbkC+EX5e7g3MIPi9+vwzNwFOAj4RVm3sfGqt7r3djjwWWAn4AsRsSmwK9A7M4dl5o7An2hERHy9DMqPeXPR0lWOb9+9hj36dufoQf2562Mjmb+8lnMmTAXgB2Mm0bZVcPMhu3DYFn35yKa9+NVe2/P5rfvx7UeepW41QcZdhsKm27Zn7K1v01S11p3asbyRPs2ePRt4JwNTkiRJkqQPsuaClwE09p/e9eV/BT5Xln0euLqRuh+iCHAAXLaG/TuIInA0pgw67QcMopgufXdmvgiQmZXzK28uM9RmALOAPmX55MycWH5+HBgYEb2ADpn5QFn+R4pAYqXtgUll0A+KIMm+FMGp5zLzxSxSpa6gcQcBF5T9/xvQIyI6UgQbfxkR3wK6NjLNuW/Zf8p7XEQRXB1BEWh7jCKAuXf576Gy6ocpxzkzn6IIMA5uom/N9RHghsysD6w+BPwwIk4HNq8ob+hO4IQos2TXwP0UYzsMmAC8FRF9KQLRj9D0+wCwlCLbsynfLYNmI4DKbMJDgI8BY4EnKMZq2/pzImI8xTgPqLjW6jySma+Vz3McMLDi2AzKbNkWalP29VcUwcelNL1cQ1ORtNszc3ZmLqB4th9uwXWvAMjMfwJ9I6KmsUplMLd3Zt5U1l+cmQsp/j6cGxETgDuAzSOidzPXXN17e2dmvl3+DjxLEWyeTJHF+b8RcSgwt5E2ycwLM3NkZo7s03H1S+h2b9+WwV07MXneQgAmzp7P8J5daNtq5dd4997deGvJMmY0Enhc+dow+7Xl9BrQ+OocHTbpxrJZC6hbuvJqDE8//TTt2rVj8ODmfm0lSZIkSXr/ay649BQrB3qIiK7A5sCUzJxOEWDaiWLtuiubaGdt50EGcEl90Ckzt8vMn9B0UBWgcoveWt5Z17Ox8lXnbDbehzUpb6ze7hX3sFlmLsrMnwInAjXA6CimfldaBHRoUPYQsD9FwHUeRUCvPnhZn3nZ0n4128fy2IL6Spl5GUXm4xLgH9FgSnqFk4D2FOs1NmY55btXZsa2Kdt/kSJoewhFFuYDFFmDb5XBt6beB4BFuXbzbQP4aUWbgzPz0og4iCKQumeZVTiBVZ9HY5p6/yjPX1RZOYpp+/UbVH28QVuvAC9m5pjy3q6lCGJC8XtXH5jfjKazmhuOSVIx/hX9au6cpjR27EsUmbC7lMHimY1co6HVvberjGm5Vu5OFO/IqcDvmmm/WW8sWsKzcxYwqEuR3NqvYzvGzXqbpbUr7y3+6Jtz6NC6FT3br7peZb0xT8Krzy1h8fw6ttu7sRUhoOsOm5K1dcyZ8PKKsuXLl3PVVVdxyCGH0L59+0bPkyRJkiTpg6S54OVdQKeI+BKsCDT9HLi0zLCCImB5OtCtIrOx0oO8M7V3TXcovhP4fH3WVhQ7LG9RtnlgRGxZlq/V/MrMnAksqpgm/EXg3gbVnga2iXfWd/xCWecpisyvzctpzk1tPHInxTRiyr7Wb040KDMnZOZ/UmT9bdegb28CHWLlHdcfpAgMji2/jwX2oZiy/mxZdh/lOEfE9hTTiRtuW/w20KW5PjYUEVtn5uTM/F/g7xTBo8bUUjzznaJiDckKL1BM+4UiGFq5DuSjFMGo+ygyMU8rf9b3s7H34d24HfhqlGuORsSAsv1uwKzMXBTFuq67NXJuw3FszjYU780KmflQReD0lgbHXgFmRER9Ct5HKN5HKDbEOq78fBzvrI3a0CFR7IzeiWKdzAcpAp2bRkSPcnmCTzQ450iAiNgfeKMMHK8iM2cDMyPik2X9DuV1ugEzMnN5RBxMEVyF1Y9XS97bFcrAbWTm1cCPeSeo2yKfvnMsPxk7hRtenMHdr77F7559mf3+Ppo2rYLvDRsIwCk7bMG0txfxyX88wQ0vzuCOV2ZyykNPc8XU1zlpyOa0K9ewPPaeCfxwzCSue+EN/vkI/PwP8NGvQZv2QatW0K5DUe/tZ19jzoSXmT9lBgAdN+tBt+Gb89qNY7nooou46667OOqoo5g2bRpnnXXWmtyOJEmSJEnvW6vdbTwzMyI+DfwmIn5EEey8BfhBRbVrKNa1bGoznm8Dl0fEtykyx1osMydGxFnAneUU5GXANzJzdEScBNxQBg5fpZj6uza+CPy2nCY9Gfhygz4sjIivAteVwdtHgd9n5tKIOIUioPYmxZqUjQVRv1m2/2WK8b67LBsVEfsAdRRZfXc0cu5dFFmV95TfH6RYB/Hhsm/LIuItYGpF1uGvgd9FxESK8fpS2dfKdm8Aro6Iz5R9aaqPDR0TEUeX7b4K/LCROpR9WxQRnwLui4g3KAKa9X5H8ewOLu+7MrPufmDfzHwhIl4FepdlTb4PNL32ZrMy85aIGAI8Uo7R28AxFMHZr5fTxp+leO4Nz32jXE9xYln/zqauU67TOLdincqW+hZwVUS0BaYAx5fl/wH8NSJOBKbRdPD8AeByiinvl2Vm/QY5/0Hxzk7lnYBovXlR7G7fhQa/D404luJ9+xnFtPZ/oZj+fVNEjKGYij8JGh2vyvU0W/LeVtocuLj8/U/g+830cyV79unGX6e9wc+ffIGltXVsXtOB/fv15N+Gb83ALsWKCZ/dqh+3HNKacydM44QHnmRxbR2DunTi//banhOHbL6irR171HDFlNf49dMvsfBe6NcbjvgIXHxt8St5z5+KNSynX18sB9x56z7UnHRgcRNH7s7rt07khz/8IXPmzGH48OHcdttt7LLLGsViJUmSJEl634q1m2krgIioycz5ZQDld8DEzGxqqvTatL8bcHJmNhdAUpWLiNMoshH/2GzldXfNE4AdM/M779U1q9nIPt1yzOF7rd+LjLp9xcfrhgxf6dBZ5w1p8rTxo5pacUOSJEmS1o2IeDyLjXqljcqabqiilZ1UbhzzNNAR+P26bDwzRwMPrMXGN6o+b1HsbC9JkiRJkqQWWu20ca1eZv438N/r+RoXr8/29d7IzEs2wDUvar6WJEmSJElS9TKjT5IkSZIkSVJVMngpSZIkSZIkqSoZvJQkSZIkSZJUldxtXNIHwsiRI3PMmDEbuhuSJEmStEG427g2VmZeSpIkSZIkSapKBi8lSZIkSZIkVSWDl5IkSZIkSZKqksFLSZIkSZIkSVXJ4KUkSZIkSZKkqmTwUpIkSZIkSVJVMngpSZIkSZIkqSoZvJQkSZIkSZJUlQxeSpIkSZIkSapKBi8lSZIkSZIkVSWDl5IkSZIkSZKqksFLSZIkSZIkSVXJ4KUkSZIkSZKkqmTwUpIkSZIkSVJVMngpSZIkSZIkqSoZvJQkSZIkSZJUlQxeSpIkSZIkSapKBi8lSZIkSZIkVSWDl5IkSZIkSZKqksFLSZIkSZIkSVWpzYbugCS9J16cBCd89L251qjbm61y3ZDha9zsWecNaVG98aOuXOO2JUmSJEmqRmZeSpIkSZIkSapKBi8lSZIkSZIkVSWDl5IkSZIkSZKqkmteSlLpo7eN4fbpb/Hvw7fmpyO3AeCuV9/iD89P5+EZc3h14RI27dSeQzbrzVm7DKJvx/YAvLJgMedOmMaYN+cyftbbLLoYpt0JAzd7p+0Xp8NnvwNPTYZFiwHG065jMPKwrpx88eZ07NJ6Rd35s5fzp9Ne45Fr57Bofh3tO7Vi+dJk2eLxDPm3w2jXs/MqfV/8xjzeuGMi8yfPoOOPOrLFFltw8skn8+1vf3t9DpkkSZIkSeuVmZeSBFwx5TXGz3p7lfILnnmZt5Ys44cjBnHbobvyb8O35saXZrDnTY8yf9lyACbPW8hfp75Oj/Zt2adfj0bbn7+wCGAO2wZ+8HU4+qf96LtVOx66ei6n7fo8dXUJQGZyzqdeYOxtb/PRU3rTsaYVrVsHdbXZZN8XvjyLyb/+B3XL6xjwud245ZZb+N73vkdtbe06GBlJkiRJkjYcMy8lfeDNWbKM7z76LL/YYwjH3DNhpWO/2XsH+nRst+L7fv17sm3XTux3y2j+Ou11vrLtAPbt14M3jj0AgIuee4U7pr+1yjWGbgNP3Qx9ehbfrxuyCZ/+fl++0vcpXpu0lKfumc+wA7sw+sZ5PPPAAs785yCG7teZY37SnwVza/napk9Ru2zVAGbWJS9f9Sg1gzdh4PEfBuCAAw7ggAMOWFfDI0mSJEnSBmPmpaQPvNNHP8/Q7jUcPaj/KscqA5f1duvTDYDpC5YA0CqiRdepD1zWa90mqOlVTBd/a/oyAEbfOI+em7Zh2AE1tGpVtNu5W2u2HN6x0TYXTJ3Bkjfm0Wff7VrUB0mSJEmSNiYGL1sgIgZExA0RMSkipkTE/0bEqhGNlc9pHxF3RsS4iDhyLa87MCKebKR8/4i4uUHZpRHx2Wba+1RE/Ova9KUlImLTiLim/DwiIj6+hucfHxFvlmP2dER8bf30tNFrfycivlR+joj4Yfm8n4+IuyNiaEXd+Y30+/zy85kRMb28hycj4lNl+SkR8eW16NeBEfFE2dYfI6JNWT4kIh6OiCURMerd3HtT99LIsfnlzxXPeS3b37Ti+0URscPa9XbdeOD12fxp8qv8Zu+Wd+Pe12cBsH33VdeebE5dHSxfDrNfX8bVP3mDGVOXAjBg+w4AvPzUYjbfscMq5/XctC0AtUuXrVS+YNrMot3ltUz+9T+Y8P2/0rdvX0499VQWLVq0xv2TJEmSJKmaGLxsRkQEcB3wt8zcBtgWqAF+1sypOwNtM3NEZl7Vwmu1br7W2svMGzPznHfbTn0ArZH2X83M+gDqCGCNgpelqzJzBLA/8B8RsUlLrv1ulG1+Bbi8LPomsDcwPDO3Bf4TuDEiVo0oNe4X5T18DrgkIloBlwCnrmG/WgF/BI7KzB2BF4HjysOzyvbOW5M214UGz3lNHQ+sCF5m5gmZ+fQ66dhaWFZXx4kPPsWoHQeyXQsDkW8vXc53HnmO7bt35ogt+67xNU8/D9oOgxP6P83157xBh5pW7HRQDYNHdgJg/qzl1PRY9TVv37n4c127ePnK9zCvCFC+9OeHqdm2H1t/fX9OP/10LrroIo455pg17p8kSZIkSdXE4GXzDgQWZ+YfADKzFvgu8JWI6BQR/y8iLgGIiGFlhtwWwJ+BEWUG3qCI+EhEjI2IiRFxSUS0L895ISLOiIgHgM9FxK4RMT4iHqYIoq2xss2zyoy9iRExpCw/PiLOj4huZZ1WZXmniHg5ItqWfb0tIh6PiPsrzr00Iv4nIu4Gzo2I/cp7G1feV5f6TNEyK/Vs4Mj6zNMyi7FP2VariJgcEb2buofMnAFMAbYssxkvjIg7gD9FROuI+O+IGB0REyLixLLd/hFxX0XW4z5l3UvL7xMj4rtNPOMnMrM+KvR94FuZubDsyx3AQ8Cxa/IcMvMZYDnQu2zrhYjYfQ2a6AUsyczny+//AP6lfnwyczSwrKmTociWjIifl+/CXRXP4J6IGFl+7h0RL1Sctnn5DjwXET9upM0VGcHl+J5Xju2EiPhWWX5G+XyeLJ9dRJEZPBL4S/mMOjbox9FlO09GxLkN7uFn5e/FI/UB7Yj4XFl3fETctwbjusK546exqLaOfx+xdYvqL6+r4+h7JjB94WKuPGA4bVqt+Z/Q73wJRl8N3/vrlrRp34qF8+rY59h3NvnJBBqbhd7Ufj1ZHOi+y5b0O3QYNYP6MmrUKH784x/zt7/9jaef3mCxYUmSJEmS3jWDl80bCjxeWZCZ84CXgMHAL4HBEfFp4A/AiZn5EnACcH+ZgTcduBQ4MjOHUWyUdFJFk4sz88OZeWXZxqmZude77PfMzNwF+C2w0rTizJwLjAf2K4s+CdyemcuACykCd7uW5/2m4tRtgYMy83vlsW+W97cPsKii/aXAGZRZlGXm6Z95J/h3EDA+M2c21fmI2BrYGphcFu0KHJ6ZxwBfBeZm5m7AbsDXImIr4JjyPkYAw4FxFBmgm2XmjuXY/6GRy32I8hlHRFegc2ZOaVBnDMW70GIRsQdQB7xZ0cY+a9DETKBtfXAP+Cyw+Zr0AehMEZjdBbgXWCUY2YjdKZ7VCIqA+sjV1P06sBWwc2buBPylLD8/M3crM0Y7Aodl5jUUY3Bs+V6seGeimEp+LkUgeQSwW0QcUXEPj2TmcOA+oH45gTOAQ8vyTzXWuYj4ekSMiYgxby5autKxl+Yv4mfjp/KTXQazpLaOOUuWMWdJEQteUld8r617J2JYl8lx9z3Jna++xd8O2pmdenZZzbA0bUA/2HEbuP23bxHAoF07cv05M1Yc79KzDfNnLV/lvCUL6wBo3WHlrMzWndoX5227UpIyhxxyCADjxo1bq35KkiRJklQNDF42L2g85ymAzMw6iqmwlwH3ZuaDjdTdDphWkUH3R2DfiuNXAUREN6B7Zt5bll/WRJ+azMGq+Hxd+fNxYGAjda8C6tfiPAq4KiJqKKZLXx0R44DfAZU7mFxdZp4CPAj8T0ScWvZ51WjLyi4BvlR+/gqNBxGhzNYErqAIBM8qy2+sCHYdAnyprPcoRYbiNsBo4MsR/5+9Ow/XqiwXP/69mecZZFBEUUQcQAXUzHnIymOjmWnHTllpdSzP0X56MlM7DaadTuVJUzMzTS21stSwxDknHABnFByQSQSZx73v3x9rbXjZ7A0b2Mirfj/Xta/9vs961jOstTZd3d7Ps+JcYLfMXABMBraPiJ9HxJHA/Ab67MfqAGNjGnsO6lQeO60c20UUAeu6Y7OoWDK9PuV5nwZ+EhGPAAsoMjk3RC3l80URQH5/E875e2a+WV7vm9dzzmHApXX3v+J+HRwRD0fERIqA5PoCv6OAuzPzjbKta1n9N7IcqNvjtfJ5fgC4Koq9URvcciEzL8vMkZk5sv6LdyYvWMLSmlpOuGci3a8Zu+oH4KKJL9P9mrFMnLtgVf2TH3iGGybP4PqDdufQ/j3XM53GrVgBnzgVXnxkMd+6bTt2OagTM15ctur4Nru05bWnl6113pxpRWC1ZZvWa5S326pL+WnNdM26x67FRmSHSpIkSZJULZp9/8B3oacpl+rWKbPztqFY1gxF4GwhjQem1vcq4kUV9dYVIKvzJtC9XlkPiky9OnXRjxoavs+3AD+IiB4UWY1jKTLc3iozF9c1TjLzhxFxK8W+lg9FxGHA0sYGnJmvRcTMiDgE2JvGl2DfkJlfW1ffFNfp3zNzTP1KEXEA8GHgtxFxYWZeHRHDgQ9QLMP/FEXwtNISoF05zvkRsSgits/MyRV16jIXAZZERJsywxTWvvY/ycyG9qJsR0WGajnelqzO7L0lM8+pPJ6ZD1Jma0bEERTZr5ui7vlayer/eFF/L8/6z+C6nsm1ntko9gb9BTCyvO/nNtBHQ+00ZkVFAHjV85yZJ5fZrR8GnoyIEZn55nr6WWVEj87c9aFRa5UffNujnDC4H1/YaWt26FLsQ/mfDz/HFc9P5TcH7MZHB2211jlNVVsLx38T7nwIzrxtEDuM7sCV35hG38FtV9UZeXRXxv56Lk/fs5BdDuwEwOL5NbwyvuGX73Qe2o9o1YIFz0+ny7DV/wSNGVP8eYwcua7EWUmSJEmSqpspOet3J9AhVr+JuiXwY+CqzFxcZkv+lCJLrGc0/Mbv54BBEbFD+f2zrA6ErZKZbwHzIqIu062xAN8koH9E7FyOaVtWL5NuksxcCDxSjv2vmVlTLoefEhHHlO1GGfhbS0QMzsyJmXkBxVLgofWqLADqr6u9giL77/cVGZwbYwxwSkS0LscyJCI6ltdhVmZeDvwK2DOKfTVbZOZNwLcpgpD1PUuxBUCdC4GfRUT7sv3DKLIP617ocw9wQnmsPUVA9K4mjHsIsMbb48vrPqL8Oaf+CRHRp/zdlmIvzkub0E+lFhTLzaFYVn9/+flliqA1FcfrHB4RPcq5fZQiw7ExdwAnx+q3oPdgdaBydpnNW9l+Q88FFBm0B5b7b7YEjqOBv5FK5TP4cHndZrOBS+q7tW3NQf16rPUDsG2n9hzUrwedWrfigvGT+Z+nXuHfhgxgx64deGjWW6t+Xpq/eFV7N06ZwY1TZvDY7CK59/Z74cYxcM8jxfFzL4bhH4U//A2O+QA8/+AiztpnEpMeXswBJ3TjzalFLHzU0V3Yad8O/PSEV7n/+rn87uzpnLXvJGrKnNsFz03nrQmvsfClYql5q45t6XPwzrz50EtMv30CC16YwQ9/+EPOP/98TjzxRHbYofLRliRJkiTpncXMy/XIzCz3s/xFRHybIhh0G/BfZZWfAL/IzBci4gvAXfVfHpKZSyPi3yiWY7eiWN7cWBDq3yjeUL2YIkjX0JiWRcQJwK/LLLcVwEnlXpYb4gbgDxRv9q5zPHBJRJwNtAaup9gfs75vRMTBFJlwzwC3s+YS87uAM8vl0z8o9728hWK5eGNLxpvqCoqlw49HRFAs+f5oOY8zImIFRSbsvwIDKK5TXaD+rAbau501l+j/nCKzdWJE1AAzKPbbrEt9+zrwy3LJfABXZ2ZTXhizH3BeUydZOiMijqJ47i7JzLEAEdGXImjcBaiNiG8Aw8oAdKVFwC4R8Rgwj9VbBVwE/D4iPkuRdVvpforrsQPwu8wct47xXUERlJ1QXvfLM/PiiLgcmEgRJH20ov5VwKURsQRYta9rZk6PiLMonpsAbsvMP6/70nBhROxY1r+Thp/TTXb71CKp9soXXufKF15f49iJO/bnqgN2A+CYsWt2/5Xzi98HjoK7r4Y9h8EFlxdl1/wF+MvMVXWvP2cmtTVw7Ll9adEiOOuv23H16dO4/Cuvs3DumnH+1/9YJOp23L43nU45BIA+h+9Ci7atefPBF5l9z/NcMmAKZ5xxBt/+9reb5RpIkiRJkrSlxOrVmNLmVb745SeZuSEvrXlbRMQfgW9m5qTN1P4ewH9k5mc3R/vr6HdhZnZ6O/usViN7d81xH9nU92A10ekN/neHNdw8tMGk5nU676L6Cc4NG3/69RvctiRJkqR3t4h4LDPdV0rvOC4b19siIs4EbqLhzMdqcCZrZo42t14Uy9YlSZIkSZLURC4b19siM38I/HBLj6Mxmfk88PxmbP/vm6vt9fRr1qUkSZIkSXrHMvNSkiRJkiRJUlUyeClJkiRJkiSpKhm8lCRJkiRJklSVfNu4pPeEkSNH5rhx47b0MCRJkiRpi/Bt43qnMvNSkiRJkiRJUlUyeClJkiRJkiSpKhm8lCRJkiRJklSVDF5KkiRJkiRJqkoGLyVJkiRJkiRVJYOXkiRJkiRJkqqSwUtJkiRJkiRJVcngpSRJkiRJkqSqZPBSkiRJkiRJUlUyeClJkiRJkiSpKhm8lCRJkiRJklSVDF5KkiRJkiRJqkoGLyVJkiRJkiRVJYOXkiRJkiRJkqqSwUtJkiRJkiRJVcngpSRJkiRJkqSqZPBSkiRJkiRJUlUyeClJkiRJkiQtvRiDAAAgAElEQVSpKhm8lCRJkiRJklSVDF5KkiRJkiRJqkqttvQAJOlt8cokOOnILT0KOH0MNw8dvurreRcNfdu6Hn/69W9bX5IkSZIkNQczLyVJkiRJkiRVJYOXkiRJkiRJkqqSwUtJkiRJkiRJVck9LyUJuHv6HA6+7dG1yru2acVbnz0UgMdmz+Nb4yYxce5C3ly2gm5tWrFnzy58e8Rg9t2qW6NtT120lAsmTGHcG/MYfy0sWTqeS6bszC9PnsqEMePpc+gw+h65W6PnT778Hha+MGONeounzmHG7RNZOmMeNYuX0bJdG9pv3Z0+hw6j46Bem3g1JEmSJEmqDgYvJanCz/YZyqjeXVd9bxWx6vNby1eyQ5cOfG7HAfTr0JZZS5fzk6de4cDbHuH+o0YzunfDAcwX5y/m95NnsFevLuw/BO54AB69ZR4vj1+y3vHMfeIVlk5/a63ymiUraNurEz1GbUerzu1YuXAZs+97nsmX3sXgrxxCh4E9N2L2kiRJkiRVF4OXklRh526d2KdPw0HIQ/v35ND+awYFjxzQi17XjuW3L05vNHh5QN/uzDz+YACu2HYMdzwAN353Jp//2QD+9zOvNjqWmiXLmX7Lk/Q7egSv/e6hNY513nErOu+41ZplO/XlmXP/xNzHXzZ4KUmSJEl6V3DPS0naBB1bt6Rtyxa0rsjQrK9FA8f6DWnL/sd1X2fb028dT7u+Xei+x7ZNGkuLNq2IVi2IFv7TLkmSJEl6d3jX/D/ciPhYRGREDN2MfYyMiJ9trvbLPkZHxL0R8XxEPBcRV0REh4g4NyJO3wz9bfScIuLuiBjZQPlREfFERIyPiGci4ssb2f4/13O8W0R8ZSPa7RcRf61X9tOIeD0iWtQr/2BEjIuIZ8v7cVFZvlM5/yfLY5eV5btFxFUbMaYDIuLxiFgZEZ+sd+zEiJhU/pxYUf69iHgtIhZuaH/rGcvLEbHWpomVz2BEnB8Rh21E24Mi4jMV3zf739SGOv7uCbS8cgw9rxnLZ+4az6sL117aXZvJitpaXl24hK/981kATtpp6ya1P+mV4venz++7znqLprzB3Mdepv/H9lpnvaxNsqaW5XMXMe1PjwHQY+/tmzQWSZIkSZKq3btp2fhxwP3Ap4Fzm7vxiGiVmeOAcc3ddkUfWwF/AD6dmQ9GRACfADpvrj6be04R0Rq4DBidmVMjoi0waCPH9r71VOkGfAX4xQY2/R/A5XVfyoDlx4DXgAOAu8vyXYGLgQ9n5nMR0Qr4Unnaz4CfZOafy7q7lWOeGBFbR8TAzGx8PfDaXgU+B6wRoI6IHsB3gJFAAo9FxC2ZORf4Szm+SRvQT7PIzHM28tRBwGeA35XtbNa/qQ3RtXUr/nPXQRzYrztdWrfiiTfn8/3xU9j3Lw/zxEf3pU/7tqvqfmrseG56eSYAfdq14bYj9mJY907r7WNFbS2/LcPmfQe3bbRe1tQy9aZx9D5wKO36dFlnm69e80/mTZwKQKtObdnuCwfQbquu6zxHkiRJkqR3indF5mVEdAL2A75AEbysKz8oIu6JiN9HxAsR8cOIOD4iHomIiRExuKzXOyJuiohHy5/9yvJzI+KyiLgDuLps7691fUbEr8t2JkTEJ8ryS8pMvacj4ryKsbwcEeeV2XUTG8kQ/Srwm8x8ECALN2bmzPL4sDLbb3JEnFrR9gnlnJ6MiF9GRMuyfGFEXBARj0XEP8qszrrzj664Rhs1p0Z0pgiKv1nOYVlmPl+2s21E3Fm2fWdEDCzLt4qIP5aZmuMj4n1146+Y4xnlvZlQMYYfAoPLeV8YEb+NiI9UnHNt3Tzr+QTwt4rvBwNPAZdQBMHrfBP4XmY+V85lZWbWBUr7AVPrKmbmxIrz/kLFc9gUmflyZk4Aausd+gDw98ycUwYs/w4cWZ7zUGZOX1e75TP824gYW2ZufrEsX3Xfy+8XR8TnKk49o3ymHomIHRpo96ooM0QjYlRE/LO8d49EROcyw/K+8nl/vO6eUtyz/ct7dlq9569HRPypvMcPRcTuFXO4sv6zHxEdI+LWst+nIuLYJl7uBu3RqwsX7b0T/zKwDwf268E3dh3E3z6wFzOXLOdnT68Zh/7RqCE8cvQ+3HToCHbt3omj/v44496Yt94+Lhg/hRUr1z+WWXc9S66ooc+hO6+3bt8PD2eHUw9j23/dj3Z9uzLlyvtY/Nqc9XciSZIkSdI7wLsieAl8FPhbZr4AzImIPSuODQe+DuwGfBYYkpmjgSuAfy/r/JQii24URWDriorz9wI+kpmfYU3fBuZl5m6ZuTswtiz/VmaOBHYHDqwLwJRmZ+aeFEGyhpaA7wo8to55DqUIZo0GvhMRrSNiZ+BYYL/MHAHUAMeX9TsCd2fmXsAC4L+BwymyDM9voP2NmdMaMnMOcAvwSkRcVwaL656zi4Gry7avpchepPx9T2YOB/YEnq5sMyKOAHYs5z0C2CsiDgDOBF7KzBGZeQbFffu38pyuwPuA2+q1tR0wNzOXVRQfB1wH/BE4KorsUVj3/fgJMDYibi+DcJVvahkH7N/YNdpAAygyQutMLcs2xO7Ah4F9gXMion8Tzplf/p1cDPxvY5Uiog1wA/D18v4dBiwBZgGHl8/7say+12cC95X37Cf1mjsPeKJ8Pv4LuLri2FrPPkUQd1pmDs/MXVkzIF03vi+VgfdxbyxZ3oRpr2nPXl0Y0rUDj85eMzC5fZcOjOrdlY8P2orbP7AXfdq14ezH1p0A++rCJXxv/GQ+ckjxffH8Gha9VQNA7coaapYsJ2uL5d+z7nyWrT6wK7mylpoly6kpx15Zr07bnp3osE1Puu62NYO+cACtOrVlxt8mrtW/JEmSJEnvRO+WZePHsTrAcn35/fHy+6N12WkR8RJwR1k+kSLjDoqAy7BY/VKNLhFRt1T7lsxce9O74pxV2XVlVhzApyLiSxTXth8wDJhQHru5/P0Y8PENnCPArWXQbVlEzAK2Ag6lCLA+Wo6/PUXgCGA5qwM6E4FlmbkiIibS8FLujZnTWjLzpCiWUR9GEaQ9nGJJ9L6snvdvgR+Vnw8B/rU8twaon8J2RPnzRPm9E0Uwc410uMy8JyL+LyL6lP3clJn189z6AW/UfSmDbx8CTsvMBRHxcNnXrY3Nr+zr1xExhiKA9hHgyxExvLw/s4CmBAiboqG3wOQGtvHn8hleEhF3UQQA31rPOddV/K4fZKy0EzA9Mx8FyMz5UGRFAhdHRF1AfUgTxvl+iv94QGaOjYieZRAaGn72JwIXRcQFwF8z8776DWbmZRTbGDCyd9cNvW5lGw3fhDptWrZg9x6defLN+etsZ/KCJSytqeVXNxXf/3P4C6uOzb7neWbf8zw7fuMIapauIFfW8Np1D6/VRmW99gPWftlPi1Ytad+vG0umre/2SpIkSZL0zvCOD15GRE+K4NeuEZFASyAj4ptllcoMu9qK77Wsnn8LYN/6QcoyGLiosa6pF0Qqs/pOB0Zl5twoXtzSrqJKXd81NHztn6YIRP65kT4r51LXRlAsNT+rgforMrNujKvmnpm1Uezf2BxzalC5jHpiRPwWmEIRvFyr2vraqRjXDzLzl/XGNqiBur+lyDz9NPD5Bo4vYc3xHwl0LccK0AFYTBG8rLsf4xsaVGZOA64EroyIp1idqdmu7GfNSUT8GtiDIlvwQw3OdG1TgYMqvm9NuSfnBqh/nRNYyZqZ1/XvaTbyub61npnSacBMisznFsDSJoxzXYHatZ79zHwhIvaiCD7/ICLuyMyGMoo32rg35vHC/EV8avvGX66zeGUN42bPY6euHdfZ1ogenbnrQ6O4datHuejXcNp1A+nWtzXfOfgluu25LT1Gb0+bXp2gNtn+5IPXOn/ypXetWa8BtctXsnjqHNr2Xvc+mZIkSZIkvVO8G5aNf5JiKfK2mTkoM7ehCJa9fwPauAP4Wt2XMltsQ8/pDnShCHbOi+LlOx/cgDFAsUT3xIjYu6LdEyJiXa8lvhP4ZJltWLdv4LYb2G+dTZ5TFPtmHlRRNAIo36/MP1md2Xk8xQuW6uZwSnl+y4ioH3kZA3w+ir1NiYgB5XwXsPbLjK4CvgGQmU+zthdYM+v0OOCk8tkZBGwHHBERHYALgf+KiCFlvy0i4j/Kz0fWLS8v709P4PWyzSEUe2iuITP/rVwu3dTAZd3cj4iI7uX9OKIs2xAfiYh2ZaD/IOBRinsyLCLaltmNh9Y759iK3w+uo+3ngP4RMQqg3O+yFUVAeHpm1lJs19CyrN/QPatzL+WWB+UzNLsuk7Mh5fL3xZl5DXARxZYDG+34uydw9rhJ3PzyTMZOe5MfT3yZI8c8xoAO7fj3YQMB+PL9T3PWoy9w05QZ3DN9DldPep2Dbn2E6YuXcfaIwets/x/T3mT20uUsXFx8Xzi3hgWzi8TgNt070mlwH1q2bU3L9m3oNLjPWj/160298VGm3zaBeRNeY+FLs5g7bgovXXoXK+cvZatDh23KpZAkSZIkqWq84zMvKYJPP6xXdhPFG41vaGIbpwL/FxETKK7JvcDJ6znnv8tznqLIBDsvM2+OiCcoMvYmAw80sX8AMnNmRHyaYilsH4psyXtZvdy8oXOeiYizgTvKvSVXULz455XGztnMcwrgmxHxS4rsw0Wszro8lSJL8QyKpdv/VpZ/HbgsIr5Q9nsKFQGzzLyj3NvzwTI7ciFwQma+FBEPlOO9PTPPKK/hs8CfGhpcZi6KiJeieAnNNIp9FL9c7/j9wL9k5g0R8Q3gujKYmaxeTn4E8NOIqMsoPCMzZ5SfD2Y9y87XumhF8O+PQHfgXyLivMzcJTPnRMR3KQKOAOeX+4oSET+ieM47RMRU4IrMPLeB5h8pxzMQ+G6ZMUpE/J5i+f8kVi/Jr9O2XELfgjVfYrSGzFwexYtyfh4R7Snu+WEUb4C/KSKOAe5idQbzBGBlRIynCDRX9nsu8Ovy73AxcGJj/ZZ2Ay6MiFqK5/6U9dRfp127d+K6l6bz82deZfHKGvp2aMvHB23FeXvuQK92bQDYu09Xrnj+dS57fiqLVtYwoENb9u7dlV/tvyu79WgsJls4ZuyaCbyXf+X1Rmo2TYeBPZnzyGTmPPwStctX0rpLezoM7MnWx4yifb9u629AkiRJkqR3gFi9qlh65yuDjBOBPTOzwdc/R8THgL0y8+zN0H9b4B7g/Q3st/m2i4hzgYWZedGWHsuWNrJ31xz3kX239DDg9DHcPHT4qq/nXTT0bet6/OnXv219SZIkSaouEfFY+TJe6R3l3bBsXAIgIg6jWMb888YClwCZ+Ufg5c00jIHAmdUQuJQkSZIkSXqnezcsG5cAyMx/UAQPm1L3is00hkkUy7CrQiPLyCVJkiRJkt4RzLyUJEmSJEmSVJUMXkqSJEmSJEmqSgYvJUmSJEmSJFUl3zYu6T1h5MiROW7cuC09DEmSJEnaInzbuN6pzLyUJEmSJEmSVJUMXkqSJEmSJEmqSgYvJUmSJEmSJFUlg5eSJEmSJEmSqpLBS0mSJEmSJElVyeClJEmSJEmSpKpk8FKSJEmSJElSVTJ4KUmSJEmSJKkqGbyUJEmSJEmSVJUMXkqSJEmSJEmqSgYvJUmSJEmSJFUlg5eSJEmSJEmSqpLBS0mSJEmSJElVyeClJEmSJEmSpKpk8FKSJEmSJElSVTJ4KUmSJEmSJKkqGbyUJEmSJEmSVJUMXkqSJEmSJEmqSgYvJUmSJEmSJFUlg5eSJEmSJEmSqlKrLT0ASXpbvDIJTjpyS4+iQcOHdmty3fGnX78ZRyJJkiRJUnUx81KSJEmSJElSVTJ4KUmSJEmSJKkqGbyUJEmSJEmSVJXc81KSGnDba2/ww/FTePzN+bQIGNK1Iz8aNYRD+vcEYO6yFZzxyPP86ZVZLKmpZd8+XfnJ3kPZrUfnJrU/ddFSLpgwhXFvzGPi1QvJFTUMPeso2vTouEa95XMXMXPMUyx8aRYrFy1jyGVD+NSnPsVZZ51Fx44dG2ldkiRJkqR3B4OXklTPL597ja/981m+Nmwg395je2oTnnxzPotX1gCQmRz998eZsmAJP993Z7q3bcUPxk/h4Nse5cmPvY+tO7Zbbx8vzl/M7yfPYK9eXei4XW8WvjBjrTq1y1cy+bK7yZpkqw/sSptuHThp+w/yne98h0mTJnHDDTc0+9wlSZIkSaomBi8lqcLLC5bwjYee48LRQ/jGroNWlX9g616rPt/y6hvcP/Mtxn5wJAeXmZj79unGdjfcy48mTOFn++683n4O6NudmccfDMDW895sMHi5aMpsls9eyHYnHUjnnfoC8M3Tv8mcOXO46KKLWLx4MR06dNiU6UqSJEmSVNXc81LvaRHRNyKuj4iXIuKZiLgtIoZUHD8tIpZGRNeKsoMi4q/l589FxBsR8WREPBcRp1XUOzciFkdEn4qyhRs4voPLtut+lkbER8tjh0bE42X5/RGxw6Zci4o+X46IXg2UnxsRp5efz4+Iwzai7UER8ZmK7yMj4mebNuLmdeULU2kRwclDt2m0zi2vzqJ/h7arApcAXdu05l8G9uHPr8xqUj8tItZbJ2tqi7rt1vzvTN26daO2tpbMbFJfkiRJkiS9Uxm81HtWRATwR+DuzBycmcOA/wK2qqh2HPAo8LF1NHVDZo4A9gO+FRGVUa/ZwH9u7Bgz867MHFG2fwiwGLijPHwJcHx57HfA2Rvbz0aM65zM/MdGnDoIWBW8zMxxmXlqsw2sGdw/8y2Gdu3I9ZNnMPj399LqyjvY4ff38n/PvLqqztNzF7Jr905rnbtL9068umgpC1esbJaxdNpxK9r06sSM2yawdOY8apatYOzYsfz0pz/l5JNPds9LSZIkSdK7nsFLvZcdDKzIzEvrCjLzycy8DyAiBgOdKIKCx62vscx8E3gR6FdRfCVwbET0aIbxfhK4PTMX13UJdCk/dwWm1T+hzJb8bUSMjYhJEfHFsnxV9mj5/eKI+FzFqWdExCPlz1oZnRFxVUR8svw8KiL+GRHjy/qdywzL+8rM0Mcj4n3lqT8E9i+zRU+rl8XaIyL+FBETIuKhiNi9Yg5XRsTdETE5Ik4tyztGxK1lv09FxLEbfWUrTFu8jEnzF3HGo89z5u7bcceRe3H4gF587cFn+elTrwAwZ9kKurdpvda5PdoWZXOXrWiOodCidUt2+OqhZCYvXPQ3nj77Zg499FCOOuooLr744mbpQ5IkSZKkauael3ov2xV4bB3HjwOuA+4DdoqIPpnZ6JrgiBgItAMmVBQvpAhgfh34ziaO99PA/1R8Pwm4LSKWAPOBfRo5b/fyWEfgiYi4tQl9zc/M0RHxr8D/Akc1VCki2gA3AMdm5qMR0QVYAswCDs/MpRGxI8V1HAmcCZyemUeV5x9U0dx5wBOZ+dGIOAS4GhhRHhtKEWzuDDwfEZcARwLTMvPDZVtdaQa1mSxYUcNVB+zGxwcVSbiH9O/JywuX8IMJkzl1l4Ek0NCq7+Zexl27ooZXrnmQlQuXsc2n96Z19w6csv2HOP/882nVqhWXXHJJs/YnSZIkSVK1MfNSatyngeszsxa4GTimkXrHRsTTwGTgp5m5tN7xnwEnloG9jRIR/YDdgDEVxacBH8rMrYFfs2Zgs9KfM3NJZs4G7gJGN6HL6yp+77uOejsB0zPzUYDMnJ+ZK4HWwOURMRH4AzCsCX2+H/ht2c5YoGdFQPLWzFxWzmEWxdL+icBhEXFBROyfmfPqNxgRX4qIcREx7o0ly5swBOhZZk8eXrGfJcARA3oyc8lypi9eRo+2rZnTQHbl3OXFcvHubdfOytwYcx6ZzKKXZrHd5w+g+16D6LR9H04//XR+/OMfc+mllzJ+/Phm6UeSJEmSpGpl8FLvZU8DezV0oFyyvCPw94h4mSKQ2djS8Rsycxdgf+DHEdG38mBmvkWxJ+VXGunrYxUv5BnZSB+fAv6YmSvKc3oDwzPz4boxAO9r5Nz66YAJrGTNv/926zhnXemE0cjx04CZwHCKjMs262ijsq366tpeVlFWA7TKzBco7t9E4AcRcc5aJ2delpkjM3Nk7/ZNGUKxb2VD6pIqW0SwS7dOPD137XcvPfPWQgZ2bEen1s2T1L50xjxatm9D215rjmn06CL+/OyzzzZLP5IkSZIkVSuDl3ovGwu0rdsHElbt33ggRaDy3MwcVP70BwZExLaNNZaZD1JkDn69gcP/A3yZBrZqyMw/1r2UJzPHNdJ83RL2OnOBrhVvRj8caCyS9ZGIaBcRPYGDKF5A9AowLCLaltmNh9Y759iK3w820i7Ac0D/iBgFUO532YpiD87pZdbqZ4GWZf0FFEu/G3IvcHzZzkHA7Myc31jHEdEfWJyZ1wAXAXuuY5xN9rFti6XiY16fvUb5mNdns3XHdvTt0JajB/bm9cXLuGf6nFXH5y9fyV9efYOjt+1Dc2nVuR01S5azbPaCNcoffriIWQ8YMKDZ+pIkSZIkqRq556XeszIzI+JjwP9GxJnAUuBl4BsUmZYfrHfKH8vyh2ncBcDjEfH9en3Njog/UmQkbpCIGARsA9xT0d7KMuh6U0TUUgQzP99IE48AtwIDge9m5rSy3d9T7M85CXii3jltI+Jhiv/A0ejLijJzefminJ9HRHuK/S4PA35Rju0YiqXqi8pTJgArI2I8cFW9fs8Ffh0REyjeqn5iY/2WdgMuLOe/AjhlPfWb5EPb9OLgfj348gPPMHvpCrbv3J4bX57JHa+/ya/33xWAo7ftw759unHCPRO5cNQQurdtzQ/GTyYz+eZug5rc141TZgCwZHGRxbnguem07NSWVh3b0mlwH3qM3I7Z9z7PlF/dS59Dh9GmWwcuvPBCvvvd77LXXnux3377NceUJUmSJEmqWtHcL5iQVD0i4lxgYWZetKXHsqWN7N01x31kXdt3rjZ/+UrOGvcCN06ZydzlKxjatSNnDt+Ozwzuv6rOnGXLOf3hF/jTKzNZWlPLvn268T9778Twnk3f2jR+NabB8o7b92bwKYcAsHTmPGbe8TSLX5nNykXL2WG77Tn66KP51re+Rffu3ZvclyRJkqT3toh4LDMb26pMqloGL6V3MYOXq21I8PLtNnxotybXHX/69ZtxJJIkSZLerQxe6p3KZePSu1hmnrulxyBJkiRJkrSxfGGPJEmSJEmSpKpk8FKSJEmSJElSVTJ4KUmSJEmSJKkqGbyUJEmSJEmSVJV8YY+k94Ztd4Qr/ralR9Gg8Vt6AJIkSZIkVSkzLyVJkiRJkiRVJYOXkiRJkiRJkqqSwUtJkiRJkiRJVcngpSRJkiRJkqSqZPBSkiRJkiRJUlUyeClJkiRJkiSpKhm8lCRJkiRJklSVDF5KkiRJkiRJqkoGLyVJkiRJkiRVJYOXkiRJkiRJkqqSwUtJkiRJkiRJVcngpSRJkiRJkqSqZPBSkiRJkiRJUlUyeClJkiRJkiSpKhm8lCRJkiRJklSVDF5KkiRJkiRJqkoGLyVJkiRJkiRVJYOXkiRJkiRJkqqSwUtJkiRJkiRJVcngpSRJkiRJkqSq1GpLD0CS3havTIKTjtzSo9h8Th8DwM1Dh6916LyLhjapifGnX9+sQ5IkSZIkaVOZeSlJkiRJkiSpKhm8lCRJkiRJklSVDF5KkiRJkiRJqkrueSlJG+GBmXM57/GXeHLOApbW1LBDlw58bdhAPj9k6zXqPfvWQs557EXumj6HRStrGNipHV8ZOpCv77rtJo9hzNTZXDBhCs+8tZC5V0PvHtB16IssmV/L1GeWAEG7zi1Y+NZT5Moahp51FG16dFyjjQln3LDqc1R8fuKJJxgxYsQmj1GSJEmSpE1h8FKSNtCEOQs47PZx7NOnK5e/fxc6tGrBjVNm8oX7nmZZTS2n7DwQgHFvzOOQ2x/loH49uOL9u9C1TSsmzV/MwhU1zTKOOctWsFevLnxl523ofeJ4/v5P+N4vF9GiJRx9em/GXPImSxfWQot1J9l3HzmIHvsM5prj/3tV2ZAhQ5pljJIkSZIkbQqDl5K0ga6fPJ2aTP5y+J50al38M3r4gF6Mn7OAqydN45SdB1KbyYn3TuTQ/j3542F7rDr34P49m20cxw3ux3GD+xVfRo/nu5dAr4Gtmf3qCrr0bMk183bjxUcX8/9GT1pnO627dqDjtr3YZ599mm1skiRJkiQ1B/e8fJeLiIVNqLN/RDwdEU9GRPu3Y1z1+j8oIv5ar+yqiPhk+fnuiBhZfh4UEZMi4gP16g+KiKcaaPv8iDhsA8bSPyJuLD+PiIgPbcR8Vo13A865MiJm1Z9DRBxT3pvayjYjYnR5v56MiPER8bENHWcj4/hcRFzcyLGF5e9V12gj2+9f8f2KiBi2caPdcpbXJK1btKB9y5ZrlHdr04ra8vPd0+fwzFuL+I9dB71t43poAux2SCcAWrUt/nnfYVQHok3LdZ0mSZIkSVLVMngpgOOBizJzRGYuWV/liNgikZCI2BoYA/xnZo5pyjmZeU5m/qOpfWTmtMz8ZPl1BLDBwcuNdBVwZAPlTwEfB+5toHxkZo4oz/tlRLwtmdT1rtGG+hywKniZmSdl5jPNMrC30ed2LKZw6kPPMm3RUt5atoLLn3uNO6fN4bRdir0s7585F4ClNTXsc8tDtL7yDvpcexenPvgsS1Y2z7LxOjW1yfLlEMAz9y2iW99WvP/T3VYdj/UsG3/zwReZeOYf6NChA4cccgj33Xdfs45PkiRJkqSNZfDyPaLMbrw7Im6MiOci4toonAR8CjinouzCiHgqIiZGxLEV598VEb8DJpaZjs+VmXNPleceFhEPlJmRo8vzRkfEPyPiifL3Ths5hb7AHcDZmXnLBsy7MoPz5Yj4fkQ8GBHjImLPiBgTES9FxMllnUHlfNoA5wPHltmNx0ZExzJD8tFyPh8pz2kfEddHxISIuAHY4OzVzLwXmH73ewkAACAASURBVNNA+bOZ+XwD5Yszc2X5tR2Qjcx/YUT8OCIej4g7I6J3WV6ZzdorIl6uOG2biPhbRDwfEd9poM1VWa4R0TIiLiqflQkR8e9l+TnldXoqIi4rn6tPAiOBa8tr2r7eOI4r23kqIi6oN4fvlRmmD0XEVmX5MWXd8RFRP7i7We3aozN3f2gUf35lFgOuv4fu14zlqw8+y6X7DePT5TLuaYuXAXDs2PEcMaAnf//gSL65+yCueH4qn7l7QrOOZ++/PETb4bBwMcyZuoLzxg6ma5/WAMx6ZTm1S1c0em63PbdlwMf2YvsvHcRll13Gm2++ySGHHMLdd9/drGOUJEmSJGljGLx8b9kD+AYwDNge2C8zrwBuAc7IzOMpsvxGAMOBw4ALI6LcVI/RwLcys26Z7w7AT4HdgaHAZ4D3A6cD/1XWeQ44IDP3AM4Bvr+RY78auDgz/7CR59d5LTP3Be6jyHb8JLAPRaBylcxcTjHeG8qM1BuAbwFjM3MUcDDFtekInAIszszdge8Be23iGJskIvaOiKeBicDJFcHMSh2BxzNzT+AeYK1gZANGU2TjjgCOiXUvgf8SsB2wRzn/a8vyizNzVGbuShHMPSozbwTGAcfXz/Itl5JfABxS9jsqIj5aMYeHMnM4RQbqF8vyc4APlOVHN2FezWbSvEV84s4n2aV7J/5y+B7844MjOXnoNpz8wDNc++I0AGrLcPIJO/Tn/L125KB+PTh9t+34zh6D+dMrs3hm7np3dGiy3x64Gw9dD1/5DKxYlvy/vSfx4rjFTH1uKT/77KtFSmYjBh63D91GDKTj9r054YQTuP/+++nfvz9nn312s41PkiRJkqSNZfDyveWRzJyambXAk8CgBuq8H7guM2sycyZFwGtUxflTKupOycyJZXtPA3dmZlIE0+ra7gr8oczU+wmwSwN9Npg1WK/8H8BnI6LD+ia5HnVZmxOBhzNzQWa+ASyNiG7rOA/gCODMiHgSuJsi43EgcABwDUBmTgCaN62uEZn5cGbuQnF/zoqIdg1UqwVuKD9fQ3F/1+fvmflmGVy8eT3nHAZcWhc4zcy67NGDI+LhiJhIEZBs6L5XGgXcnZlvlG1dS3FdAZYDdXuiPsbqZ+sB4KqI+CLQ4FYGEfGlMst23BtLlq9nCE33X+Mm0bpF8Ncj9uSogX04tH9Pfrbvznxq+758/aHnqM2kZ9si8/HwAWu+oOeIAb0AeHLO/GYbz87dOrH3cPi/bxdvGV+6oJb/N2oS3xj2PD0GtKZt365Nbqtz5858+MMf5tFHH2228UmSJEmStLEMXr63LKv4XEPDb5tfR44Wi9bRXm3F99qKtr8L3FVm4P0LRcCvvjeB7vXKegCzK77/CHiYIhC6KXs7Vo6x/vjX124AnyizBkdk5sDMfLY81lgAtjixyJKse8FOs2YJlmNYBOzalOrl75Ws/vuvf0/qz2Vdc4v6x8sg6i+AT2bmbsDlDfTRUDuNWVEGxaHiuc3Mk4GzgW2AJyNirdd4Z+ZlmTkyM0f2bt9mPUNouolzFzK8R2da19tLcnSvrry5bAWzlixnl+7Fi3PqT6xuIi3WOeWNd+KF/dluRDt23Ls9V0wfxn9cty01C5duUBuZScTmGZ8kSZIkSRvC4KXqu5din8eW5f6IBwCPbEJ7XYHXy8+fa6TOJKB/ROwMEBHbUixbf7JevdOA+cCv4u2JrCwAOld8HwP8e13fEbFHWX4vxTJrImJXimX0ayizJOuCnk3es7MxEbFdXRC3vF47AS83ULUFxdJ4KJb1319+fpnVy9vrv3zn8IjoEcWb5z9KkeHYmDuAkyvG0oPVgcrZEdGpXvv1r2mdh4EDy/03WwLHUWT9NioiBpfX9RyKQPc266rfnPq2b8OTcxawvKZ2jfKH33iLdi1b0KNtaz64dS/atmzB36bOXqPOmNeL7yN7d9ksY3tr5gqmT1rOoOHt6bZVa57423xWLli2/hNL8+fP59Zbb2XvvffeLOOTJEmSJGlDvC1vJ9Y7yh+BfYHxFEli38zMGRExdCPb+xHwm4j4D2BsQxUyc1lEnAD8uszaWwGclJnz6tXLiDiRYgnxj4Az6jW1U0RMrfh+2kaOuc5drF4m/gOKLNL/BSaUAcyXgaOAS8qxT6AIuG5wsDcirgMOAnqVc/hOZv4qIj4G/BzoDdwaEU9m5gcolnKfGRErKLJGv5KZsxtoehGwS0Q8BswDji3LLwJ+HxGfZe37cj/wW4o9TX+XmePWMfQrgCEU12QFcHlmXhwRl1MszX8ZqFx/fBVwaUQsoXjOAMjM6RFxFsU1D+C2zPzzOvqFYs/RHcv6d1I8s2+Lrw0byDFjx/Mvf3+cr+w8kPYtW3DLq7O4bvIMTttlW9q0bEHPlm04a/ft+O6Tk+nSphWH9OvJuNnzOP+Jlzhxx/7s0KXjJo/jY/94gj17dmH3Hp3p8jD840H4+U3Pk5nsMKoDP/rEFB69ZT7t+ndj6bS3WPDcdFp2akurjm3pNLgPb9z9HMveWEDHHfrQukt7fvOb33DRRRcxY8YMrr322vUPQJIkSZKkzSxWr8aU9G4TEQszs9OWHkc1GNm7a477yL7rr9hEt7/2BhdMmMLTby1kaU0tgzt34Es7bc2Xh25DyxZFYnBm8pOnXuEXz77Kq4uW0q99W07csT/f3mPwWkvON8YF4yfz+ykzeWnBYpa3WEmfHjCvphXLFtdSsyJZvrThf987bt+bwaccwvxnXmfW2GdZ9sYCapauoEe37uy3336cffbZjB49epPHJ0mSJKl6RMRjmbmuF7JKVcngpfQuZvByteYOXlad08cAcPPQ4WsdOu+ipiVOjz/9+mYdkiRJkqTqYfBS71TueSm9ixm4lCRJkiRJ72QGLyVJkiRJkiRVJYOXkiRJkiRJkqqSwUtJkiRJkiRJVckX9kh6Txg5cmSOGzduSw9DkiRJkrYIX9ijdyozLyVJkiRJkiRVJYOXkiRJkiRJkqqSwUtJkiRJkiRJVcngpSRJkiRJkqSqZPBSkiRJkiRJUlUyeClJkiRJkiSpKhm8lCRJkiRJklSVDF5KkiRJkiRJqkoGLyVJkiRJkiRVJYOXkiRJkiRJkqqSwUtJkiRJkiRJVcngpSRJkiRJkqSqZPBSkiRJkiRJUlUyeClJkiRJkiSpKhm8lCRJkiRJklSVDF5KkiRJkiRJqkoGLyVJkiRJkiRVJYOXkiRJkiRJkqqSwUtJkiRJkiRJVcngpSRJkiRJkqSqZPBSkiRJkiRJUlVqtaUHIElvi1cmwUlHbulRbF6nj1mr6OahwznvoqFbYDDNZ/zp12/pIUiSJEmSthAzLyVJkiRJkiRVJYOXkiRJkiRJkqqSwUtJkiRJkiRJVck9LyVpIzwwcy7nPf4ST85ZwNKaGnbo0oGvDRvI54dsvarOqwuX8O3HXuSu6XOYvXQ5W3dsx6e268tZw7ejY+vm/+f3gcfhvP+DhyfA4iUQAbUxnpbdJtN1163pc8jOtGzXeoPafOmSsSya/EaDxzoN6cv2XzyQxVPnMOP2iSydMY+axcto2a4N7bfuTp9Dh9FxUK/mmJokSZIk6T3K4KUkbaAJcxZw2O3j2KdPVy5//y50aNWCG6fM5Av3Pc2ymlpO2Xkgi1as5LDbx7GiNvnuXjswsGM7Hp09n+88/iKT5i/mhkOGN/+YPg/7DIe+vYqfli3hroehU9+uvPngiyx6aSaDv3oY0SKa3O6Aj+9FzdIVa5QtfuVNpv/lSbrs0h+AmiUraNurEz1GbUerzu1YuXAZs+97nsmX3sXgrxxCh4E9m3WukiRJkqT3DoOXkrSBrp88nZpM/nL4nnQqMygPH9CL8XMWcPWkaZyy80AemPkWk+YvZswH9uKIrYvsw4P792TOshVcNPFlFq+soUOrls07plr4yy9gyTLo3aMoH/K5Drw+fQkDPrIHr93wCIsmz6LTDls1ud12W3Vdq2zOw5OJli3oNmIgAJ133IrOO67ZZued+vLMuX9i7uMvG7yUJEmSJG20d92elxHxrYh4OiImRMSTEbH3Bp5/dEScubnG10ifn4uIi9dTZ1BEfOZtGs9HI2JYxffzI+KwZu7joIj4ayPl8yLiiYh4NiK+04S2FjZSflVEfLL8fEXlnBqoe3dEjGygfGRE/Gx9Y9hUEfG1iHgxIjIielWUn1E+x09GxFMRURMRPcpjV0bErIh4qpnHssnXcx1tj4iID1V8f9v/3prD8pqkdYsWtG+5ZvCxW5tW1NbVqS0+dWnTau06mWRm84+pFbRvtzpwCdCxW0syk/bbFAHEFfOWbFI/tStWMm/Ca3QZ1p9WHdo2Wq9Fm1ZEqxZEi3fd/8xIkiRJkt5G76r/VxkR+wJHAXtm5u7AYcBrG3B+q8y8JTN/uLnGWNfPRpw2CNig4GVEbGxa10eBVYGpzDwnM/+xkW1tjPsycw9gJHBCROy1qQ1m5kmZ+cxGnDcuM0/d1P6b4AGK5/WVev1fmJkjMnMEcBZwT2bOKQ9fBRz5NoxtLRt7PYERwKrg5dvx97Y5fG7HYrn0qQ89y7RFS3lr2Qouf+417pw2h9N22RaAw/r3ZMcuHfh/j77AM3MXsnDFSsZOe5OfPv0KJw/dptn3vFw1pu/BtFnw1ny4/Pcw8c4F9D5gJxZNngVA2z5dNqmfeROnUrtsJd1HDlrrWNYmWVPL8rmLmPanxwDosff2m9SfJEmSJOm97V0VvAT6AbMzcxlAZs7OzGkAEfFyRFwQEY+UPzuU5VdFxP9ExF3ABZVZkOWxn0XEPyNickXWWYuI+EWZ4fnXiLit4theEXFPRDwWEWMiol9ZfndEfD8i7gG+3tgEGusT+CGwf5mBd1pEtIyICyPi0TLL9Mvl+QdFxF0R8TtgYpmx+WxEXF6O946IaF/W/WJ5/viIuCkiOkTE+4CjgQvLvgbXy7g7tMyKnFhm/rWtuL7nRcTj5bGhZfnoci5PlL93aurNzMxFwGPA4PrZqeV1P6ji+4/Lvu+MiN4NXNe7yyzKluV8nirHeVpFtWPKZ+OFiNi/4nr+tfx8bjnnu8t7c2pF+9+OiOci4u8RcV1EnN7UeZZzfSIzX15PteOA6yrOuReY03j1Vc/TpRFxXzmvo8ryZrme5ecjy7rjI+LOsmyt+x4RbYDzgWPLZ+vYen9v25b9TSh/D6yYQ0N/h/0i4t5YnZW6/3quX7PZtUdn7v7QKP78yiwGXH8P3a8Zy1cffJZL9xvGpwf3A6Bdq5bcf9RoajPZ5eYH6Hz1nRx6+ziO2qY3F79v580zpt/An8fCgAOh+97w1f+GL126NR2368WMMU/Racet6LBNj/U3tg5zH3uFVp3a0nmnfmsde/WafzLxzD/w3Pf/yryJU9nuCwc0uOxckiRJkqSmercFL+8AtimDNL+IiAPrHZ+fmaOBi4H/rSgfAhyWmf/ZQJv9gPdTZHTWZYh9nCITcjfgJGBfgIhoDfwc+GRm7gVcCXyvoq1umXlgZv54PfNoqM8zKTISR2TmT4AvAPMycxQwCvhiRGxX1h0NfCsz67IndwT+LzN3Ad4CPlGW35yZozJzOPAs8IXM/CdwC3BG2ddLdYOKiHYU2X7HZuZuFHumnlIx7tmZuSdwCVAXvHsOOKDMpDwH+P565r5KRPQE9gGeXk/VjsDjZd/3AOtaaj4CGJCZu5Zz+HXFsVbl8/GNdbQxFPgAxTX+TkS0LoN4nwD2oHg21lp+vqkiogNFluVNG3H6IOBA4MPApeV9XJcmX88ysHk58InyOTqmPLTWfc/M5eXnG8pn64Z6zV0MXF1mTV8LVC7Xb+hv4jPAmDIrdTjw5Hrm1WwmzVvEJ+58kl26d+Ivh+/BPz44kpOHbsPJDzzDtS9OA2DpyhqOvWs8s5Yu57cH7sY9HxrFhaOHcMOUGXz1n89unjF9HXbZodj38h9XwsnHwi+/PJUXfzGWaBls/anRm9THinlLWDhpJt322JZoufb/fPT98HB2OPUwtv3X/WjXtytTrryPxa+tM74uSZIkSdI6vate2JOZC6NYYrw/cDBwQ0ScmZlXlVWuq/j9k4pT/5CZNY00+6fMrAWeiYi6N1K8vzynFpgRRdYmwE7ArsDfIwKgJTC9oq36wZrGNNRnfUcAu8fqzMyuFEHK5cAjmTmlou6UzKwL7DxGEcwC+P/s3Xd8VuX9//HXJwlJSEJIAoGw9x4CgnvgrKNq66zVqtVq3dVv1dZVV4f251f9qq2LunBLsbVSwQVuQPaWvQkzEEhC5uf3xzmBO3uASZT38/HII/d9netc1+ec+yDyua8x0Mz+CKQAScCEGuLqE7a1OHz/EnAdexPBYyP6ODsirpfMrBfgQLMa+oBghOlMoAR40N3nm9mIauqXsPfevhIRR2WWA93N7AlgHEHCu1Rk/F2rOH9cOLI338w2AW0Jnod/u3segJn9p5r+6+sM4MuIKeN18Vb4PC0xs+UECdjq1OV+HgZ8Vvq8RcRXn8/9cPY+N6OBv0Ycq+zPxDfA8+GXBv+KeMb3MLOrgKsAOifWlLOtvTumLaFZlPHeycNoFq7peEL7VmzNL+Q3kxdxYY92/GPxOiZtyGLpeUfTIzkBgGPapdGyWQxXfbmAq/t25KBW+zaFu0JMMfDeU9AsvNtHDoOXP4xhx8Ycet10MrEpCfvUR9aMleBe6ZRxgLhWSdAqCTpBi37tWPy/48kcP5fuV5b/HklERERERESkdn5oIy9x92J3n+Tu9wDXs3eUIQRJlMpe51TTZH7Eayv3uzwD5peuUejug9z95Fr2U1OflfV1Q0Rf3dy9NBFXvp/I9orZm7R+Ebg+HIF4H1BTdqeqWMr3E9nHA8BEdx9IkICrTQbpc3cf6u4Hu/vTYVkRZZ/X6tqpcicUd88iGKU3iSDxOqqG+Mur7F7WdF8Ip6uXbrxzf031K/EzIqaM11H5++Hsp/tJcO2VHa/P515dvxX+TITT5o8B1gGjzeySCg24P+vuw919eHrz2HqEULm5Wbs4KK3FnsRlqUNat2RrfiGb8gqYm7WT1NiYPYnLPXXSg2nUC7fX9j8HdYipz97EZWEhnHMj5GQF38vEtNj35G3W9JXEt0uhefvUGutGxUTTvF0KBVsr3f9JREREREREpFZ+UMnLcF29XhFFQyi7AcoFEb+/3oeuvgDOsWDty7bAyLD8WyDdgo2DCKcUD9iHfiLtBFpEvJ8AXBOOOsPMeptZYh3bbAFsCNu4qJq+Si0Culq4XijwC4JpxdVpSZBcArisjvFFWgkMCe95J4Jp26WigNIRqD8n+HwqZcFO3lHu/k/gbmDYPsRU6gvgDDOLN7MkgunZZYRJ9dJE8x/q0riZtSSY9v3vesZ3XnjfegDdCZ7TleyH+0nw5+jY0iULLNwJnao/96qeLYCvCJK0EDyP1fWLmXUBNrn7c8A/2D+fZa1kNI9l1radFBSXlCmfsnk78dFRpMU1I6N5HFkFRSzNzilXZwcAHfbjSNA9MS2CggIoKYGLboOPJ0PfIxOwmGiiE/YteZu7Zhv5G7OrHHVZXklBEblrtxHbKmmf+hUREREREZED2w9q2jjB1OcnzCyFYGTZUsIpo6E4M5tCkJy5cB/6+SdwAjAPWAxMIVh/siCcxv14mHCKIZhSXdOajbUxBygys9kEIyb/j2Bq8wwL5qhvJtglvC7uDmNfBcxlb1LpDeC5cEOa0iQW7r7bzH4JvG3BjunfAE9Tvb8STB/+H+CTOsYX6UtgRRjnPGBGxLEcYICZTQd2sDdJXZkOwAtmVpq4v30fYgLA3b8xs3eB2QT3cloYR62F9/o2IAOYY2b/dfdfhYd/CnwQbmAUec7rBInz1ma2FrjH3f9RSfPfEiSZ2wJXh5/jfrmf7r45nJo9Nrynm4CTqPpznwj83sxmAX8p19yNBNPAbyV4nn9ZVb+hkcCtZlYI7AIqjLz8rlzfvzPnfTKbMz6cwbX9OtM8Oop3V2/i9eWZ3DygC7HRUVzWqwOPzFvJaRNmcOeQ7nROjGfalmwemLWMg1snc2TblO8gpizOuBaiDMZ/AQcPgOkTc2h5UCfy1mUB0KxlQr2mj2dNXwlRRsrQLhWOrR3zDdEJcSR0TCU6MY7CrBy2fLWUouzddP7ZYft6aSIiIiIiInIAM/fqZoT+cJjZSmC4u2/ZT+0lhWtstgKmAke6e+b+aFu+fyKehwTgM+Aqd59R03kNENeLwHvuPqaxY2lsw9Nb+rSzDt9v7b2/ZjMPzVnB/O272F1cQo8WCVzVpyO/7tuJ6KhgJYEFWbu4d+ZSvt60gy27C+iUGM+Zndtw55DupMbVZhnQOsZ0yAQeGgWfTw9GX1amzUkDyDh5YJ3a9eISFjzwLgmdW9Ht8oqbum+bupxtU5eTv3knJQVFNEtuTkLnVqQf34/m7fY9STv7ljf2uQ0RERERkQOdmU139/2+wazId+2HNvKyIb0XjvCMBR5Q4vKA96yZ9SdY2/GlppC4lO/WqZ3SObVTerV1+qcm8dbxQxooIjj1mOAn0ti+B3HfwzXt0VQ9i45iwL1VD+xOO6Q7aYd036c+RERERERERCpzwCQv3b3rfm5v5P5sT77f3P3njR1DZdz9ssaOQURERERERESkvn5QG/aIiIiIiIiIiIjID4eSlyIiIiIiIiIiItIkKXkpIiIiIiIiIiIiTdIBs9u4iBzYhg8f7tOmTWvsMERERERERBqFdhuX7yuNvBQREREREREREZEmSclLERERERERERERaZKUvBQREREREREREZEmSclLERERERERERERaZKUvBQREREREREREZEmSclLERERERERERERaZKUvBQREREREREREZEmSclLERERERERERERaZKUvBQREREREREREZEmSclLERERERERERERaZKUvBQREREREREREZEmSclLERERERERERERaZKUvBQREREREREREZEmSclLERERERERERERaZKUvBQREREREREREZEmSclLERERERERERERaZKUvBQREREREREREZEmSclLERERERERERERaZKUvBQREREREREREZEmSclLERERERERERERaZKUvBQREREREREREZEmKaaxAxARaRCrlsCvTmnsKBrV2FGZ3Pdw30brf/YtbzRa3yIiIiIiIvL9pJGXIiIiIiIiIiIi0iQpeSkiIiIiIiIiIiJNkpKXIiIiIiIiIiIi0iRpzUsRkTpam7Obh+asYNrmHczetpO84hJWnH8MXVs0L1Nvd1Exd89YyitL17O9oIghaS14aERvjmmXVqZeiTsPzVnBM4vWkJlXQJ+WCfxhSA/O6Zaxz7GOWZHJ68s3MG1zNpmv5kOL5bQc2JE2x/cjOr5Ztecuf+5Tdi3OpM0J/ck4ZdDe68rcQeaEueSu3kpxXiGxaYmkjehG66N6Y9H6TkxERERERET2H/0rU0SkjpZm5/LW8kxS45pxdEZqlfWu+GI+z327lvuH9eS9k4fRLiGOH02Yzqyt2WXq3T19KffOWMr1/Tvz/snDOCw9hfM+mc1/12ze51gfnruSaDP+PLwXd43vTqvDe7D166WseG4SXuJVnpc1cxW7N2yvUF64I49lT0+kYGsO7c8cSrfLj6blgA5sGDebzPFz9zleERERERERkUgaeSkiUkfHZKSy8aLjABj17Vo+WLe1Qp3ZW7N5bdkGnj96IL/s3QGAYzNSGTD2S/4wYynvnjQMgE15+Tw8dwW/P6g7twzqBsBx7VuxNDuX33+zmNM6pe9TrP85aRjpzWMBGHtsJunf9CGmeSxr3pxKzvJNJPVsW+Gc4rwCNrw7i3ZnDmHNa5PLHMteuJ7inHx6XncCcektAEjq2Zb8rbvImr6SdqcftE/xioiIiIiIiETSyEuRkJntCn93NbM8M5sV8XNJeGylmc2NKH88LH/RzFZElH9Vx76PMbMZZlZkZueWO1Yc0e67EeXdzGyKmS0xszfNLHbf78Kea2xdSfm9ZnZL+Pp+MzuxHm13NbOfR7wfXnoPv0+izGqs8+7qzTSLMi7ovnfqd0xUFD/r3o4Ja7eQX1wCwIS1WykocS7u0a7M+Rf3bM/crF2s2Jm7T7GWJi4jNe/UCghGUVZmw7jZxGckkzq0S4VjHsYdFVf2u6/o5rHgVY/kFBEREREREakPJS9FKrfM3YdE/Lwccey4iPIbI8pvjSg/oo79rQYuA16r5FheRLtnRpQ/BDzq7r2ALOCKOvZZb+7+B3f/qB6ndgX2JC/dfVq5e/iDMT9rF91aNCchJrpM+YCUJApKnKXZQVJy/vZdxEVH0TM5oWy91EQAFmTl7PfYcpZvAiCuTXLFYys2kzV9Je1/enCl57Yc3InoxDjW/2sGBdt2Uby7kB1z15I1fSWtj+mz32MVERERERGRA5uSlyJNgLuvdPc5QElt6puZAccDY8Kil4CfVFLvXjMbbWafhCM0rwzLR5rZexH1njSzyyJOvdXMpoY/PStp98XSEaJmNsLMvjKz2WH9FuEIy8/D0aQzzKw0mfsgcHQ4ivTmyDjMLM3M/mVmc8xsspkNjriG581skpktN7Mbw/JEMxsX9jvPzC6ozb1rKNvyC0mNrbghTlpcsz3HS3+nxMZg5UZzlq+3vxTuyCVzwjySerUloVPZjYO8uIS1/5xG+rF9ia8ksQnQrEU8Pa8/gd2bsln0l3HMv3ssq0Z/SZvj+tHmuH77NVYRERERERERrXkpUrkeZjYr4v0N7v55+HqimRWHr19y90fD1//PzO4KX89394v2UyzxZjYNKAIedPd/Aa2A7e5eFNZZC3So4vzBwGFAIjDTzMbVos9sdz8knC7/GPDjyiqFU9XfBC5w92/MLBnIAzYBJ7n7bjPrBbwODAd+D9zi7j8Ozx8Z0dx9wEx3/4mZHQ+8DAwJj/UFjgNaAN+a2VPAKcB6XcR2nwAAIABJREFUdz89bKtlLa6rwThQ2eRyp+zUanevvN53MAM7b1cxK1/8Aos2Op5/SIXjmyYuxAuLaXNC1UnIol27WfXSl0TFxtDlF0cQnRjHrqUb2fTxAiwmSglMERERERER2a+UvBSp3DJ3H1LFsePcfUsl5be6+5hKyvdVZ3dfb2bdgU/MbC6QXUm9qtJd/3b3PCDPzCYChwAVt5Eu6/WI349WU68PsMHdvwFw92wIRkUCT5rZEKAY6F1DfwBHAeeE7XxiZq0iEpLj3D0fyDezTUBbYC7wsJk9BLwXkVzew8yuAq4C6JwYX4sQ9p+0uGaszqm4pmRWftGe46W/swqKgiRmxOjLrILCMvX21e6iYh48cyUFWwvofs1xxKaUnaZekJXDpo8X0vG84XhRCcVFBXuOlRQVU5xXQFRcDJsmLaIgK4e+d5xBTEKwnmZSjzZQ4mycMI+0Q7oTkxi3X2IWERERERERUfJSpIGY2QvAUILRgqfV9jx3Xx/+Xm5mk8I2/gmkmFlMOPqyI7C+qiYqeV9E2WUjymf2vIrX5VkVx28GNgIHhf3srqaNyLbKK207P6KsGIhx98VmdjBwGvAXM/vA3e8vc7L7s8CzAMPTWzbobjIDUhN5Z9VGcouKy6x7uWD7LmKjbM8alwNSk8gvLmHZzlx6JifurReuddk/NZF9VVhSwjkfz2JpVi5drziO5u1SKtQp2JaDFxWz5vUpFY5t+fRbtnz6Lb1uOpndG3YQ2zppT+KyVPNOrfDiEvK37FTyUkRERERERPYbrXkp0kDc/Zfhpju1TlyaWaqZxYWvWwNHAgvc3YGJQOnO5JcC/66imbPMLN7MWgEjgW+AVUB/M4sLRzeeUO6cCyJ+f11NiIuA9mY2IoyxhZnFAC0JRmSWAL8ASrN3OwmmflfmM+CisJ2RwJbSkZyVMbP2QK67vwI8DAyrJs4Gd2bnNhSWOG+vyNxTVlRSwpvLMzm5Q2viooP//J7SsTWxUcarSzeUOf+VZesZmJpEtxZlR0jWVYk7F02aw8cbtvG7f3clsUuFjeQBaN4+he5XH1fhByBlWBe6X30csa2TaNYinoItuyjKLShzfu6arQA0a7lv8YqIiIiIiIhE0shLkcqVX/PyeXd/PHwdueblHHe/JHwdueYlwCHuXjbDU4Uw+fcOkAqcYWb3ufsAoB/wjJmVEHzZ8KC7LwhP+x3whpn9EZgJ/KOK5qcC44DOwAOlIznN7C1gDrAkPD9SnJlNCfu8sKq43b0g3CjnCTNrTrDe5YnA34F/mtl5BEnW0i2z5wBFZjYbeLFcv/cCL5jZHCCXICFbnUEE97wEKASuqaH+fjUmTEpO3xLkV99fu5n0+FjS42M5tl0aQ1olc0G3DG6avIjCEqdbi+Y8tXANK3bl8erIwXvaadM8jpsHduUvc1bQolkMw1on8+byTD5Zv41/nzR0n+O87quFvL1iI3ce1J34xChyVu1d8aBZy4Q908ejm8cG078rEZuauOdY2uE9yJq5ihXPTSJ9ZF+iE+LIWbaJLZ9+S/LADhWmo4uIiIiIiIjsC/PvYlcIEWkSzOxeYJe7P9zYsTS24ektfdpZh++39uwfEyotPzYjlUmnB5vh5BUVc+e0Jby2fAPbC4o4KK0FD43ozch2ZXf5Li5x/jJ7Oc99u5bMvHz6tEzkD0N7cG63jH2Os+ubn7JqV+Wz9tucNICMkwdWe/6cW9+kzQn9yThl0J6ynFVb2PTRAvLWZVG8u5DYtERShnQm/dg+RDWr+jux2be8Ub+LEBERERGRfWZm0919eGPHIVJXSl6K/IApebnX/k5efh+NHZXJfQ/3bbT+lbwUEREREWk8Sl7K95WmjYv8gLn7vY0dg4iIiIiIiIhIfWnDHhEREREREREREWmSlLwUERERERERERGRJknJSxEREREREREREWmStGGPiBwQhg8f7tOmTWvsMERERERERBqFNuyR7yuNvBQREREREREREZEmSclLERERERERERERaZKUvBQREREREREREZEmSclLERERERERERERaZKUvBQREREREREREZEmSclLERERERERERERaZKUvBQREREREREREZEmSclLERERERERERERaZKUvBQREREREREREZEmSclLERERERERERERaZKUvBQREREREREREZEmSclLERERERERERERaZKUvBQREREREREREZEmSclLERERERERERERaZKUvBQREREREREREZEmSclLERERERERERERaZKUvBQREREREREREZEmSclLERERERERERERaZKUvBQREREREREREZEmSclLERERERERERERaZKUvBQREREREREREZEmKaaxAxARaRCrlsCvTmnsKA48t0zYp9PH9j1oPwWyf933cN/GDmGfzb7ljcYOQUREREREpEYaeSkiIiIiIiIiIiJNkpKXIiIiIiIiIiIi0iQpeSkiIiIiIiIiIiJNkta8FBFpIGtzdvPQnBVM27yD2dt2kldcworzj6Fri+ZVnvOX2cu5Y9oSjmybwhc/PrTMsa5vfsqqXbsrnPPOCUP4Sde2+z3+uhqzIpPXb4Rp82DTNujcDs4+Ce74NbRIrPycX98Dz74FF50Br/y19n3Nm7SLe45bVqE8oWUUo7cP2vN+xaw8Xvn9BhZ9kYNFwYCRSVz2SHva9Yyr6+XV27KnPiFn+eZKjyX1zqD7lcdSsC2HRX95r9I6A+7/KdHNY7/LEEVERERERJoMJS9FRBrI0uxc3lqeycGtkzk6I5UP1m2ttv7y7Fz+NGs5beKrTlT9qEMr7h3Ws0xZn5ZVZAYb2MNzV9L5YPjzzdCxLcxcCPf+DSZOga9eh6hyY/+/mgmvvgfJSfXv84rH29NzRMKe91Extuf1+iX53HX0UjoPjOc3r3amuMh5676N3H3MUv53Vm9atmlW/47roMPZB1O8u7BMWe6qrWz4zyySB7QvU55+fD+S+5cti4rTX90iIiIiInLg0L+AREQayDEZqWy86DgARn27tsbk5TVfLeCiHu34dkcORe6V1mkdH8thbVL2e6z7w39OGkb63RP3vD/2EEhrCZfeDpOmwvGH7a1bWAhX/QHu/DU882b9++zQL57eh1WevP3XQ5uIioa73u9OYko0AL0PTeC6nov498ObueSv7Ss9b3+Lb9uyQtm2Kcux6ChShnQuUx6blkhil9YNEpeIiIiIiEhTpDUv5YBiZo+a2U0R7yeY2aiI9/9rZv9jZu3NbExYNtLMKp+/uf/iutrM5prZLDP7wsz6Rxy73cyWmtm3ZvajsCzezKaa2Wwzm29m9+2nOLqa2bwqjk0ys+Hh6/+aWZ0zZuG9PCLi/dVmdkn9I/5+iTKruVLotWXrmbE1m7+M6PUdRvTdSq9kavOIcAb3uo1ly//f81BcAr+97LuLZ/HkXPocnrgncQnQqmMsnQfGM+WdHd9dxzUoKSxix5w1JPdvT0xCw01fFxERERER+T7QyEs50HwFnAc8ZmZRQGsgOeL4EcBN7r4eOLcB43rN3Z8GMLMzgUeAU8Ik5s+AAUB74CMz6w3kA8e7+y4zawZ8YWbvu/vkhgjW3U+r56kjgV0EnwOl1yxlZeUXcvPkb/nriD6kxVW/tuF/Vm8m4cUPKXZnaKtkfj+4W5NY77Iqn34T/O7XY2/ZstXwx6dh3NMQu49LOf7fRavZuaWIhJRohvyoBRc/2I70zkGjUdEQE1sxgRwTZ2xcVkDB7hJi4xv+O70dc9dSkl9E6vCuFY5lvj+XdWOnExUbQ2L3dDJOGUTzdk1zpK2IiIiIiMh3QSMv5UDzJUGCEoKE4Dxgp5mlmlkc0A+YWdUIRDNLNLPnzewbM5tpZmeF5Z+b2ZCIel+a2eDaBuXu2RFvE4HSOcJnAW+4e767rwCWAod4YFdYp1n4U2FecTha8jEz+8rM5pnZIWH5vWZ2S0S9eWbWNXwbY2YvmdkcMxtjZgmVtLvSzFqHry8J6842s9Fh2RlmNiW8Rx+ZWduw/auBm8MRpkdHxmFmQ8xsctjWO2aWGnEND4UjTReb2dFh+YCwbFZ4zvd3iGI5t079lt4tE7isV/XTmM/o3IYnDu/LhFOG8+rIwcRHR/HTj2fxytL1DRRp3azbCH94Ak48HIYP3Ft+9b3BRj7HHVrlqTVKaBnFmb9N55pRHbn3kx6cd3db5ny0izsOX8KOTcH6ku37xLFseh5FhXv/qOTtLGbN/N24Q05Wcf0D2AdZ01cRkxRHiz7t9pRZTBRph/Wg4znD6fHr42j344PYvWEHy/72Mbs3ZlfTmoiIiIiIyA+LkpdyQAlHVBaZWWeCJObXwBTgcGA4MMfdC6pp4k7gE3cfARwH/D8zSwRGAZcBhCMj49x9Tl1iM7PrzGwZ8FfgxrC4A7AmotrasAwzizazWcAm4EN3n1JF04nufgRwLfB8LULpAzzr7oOB7PC8qmIeQHBPjnf3g4DfhIe+AA5z96HAG8Bt7r4SeBp41N2HuPvn5Zp7Gfhd2O9c4J6IYzHufghwU0T51cD/ufsQgs9ubS2urcn7PDOLl5eu56kj+mM1TDN/4vB+XNKrA0dnpHJutww+PnUEw1snc/u0JQ0Ube3tyoGzroOYaHjhz3vLX3kXvpkHD9+6b+13H5rApQ+3Z8QZLRlwbBI/vimdu8d3Y/vGIsY9vgWAH/8mnW3rCnnm6rVsXVfIplUFPPnLNezeVQKANcLfiIU78ti1ZCMpQ7tg0XsDaJbcnI7nDKfloI4kdk+n1aE96HHt8QBs+nhBwwcqIiIiIiLSSJS8lANR6ejL0uTl1xHvv6rh3JOB34dJw0lAPNAZeBv4cTiF+3LgxboG5e5/c/cewO+Au8LiyrJXHtYvDhN3HYFDzGxgJXUBXg/rfwYk12KtyjXu/mX4+hXgqGrqHg+McfctYR/bwvKOwAQzmwvcSjDKtUpm1hJIcfdPw6KXgGMiqowNf08HuoavvwbuMLPfAV3cPa+Sdq8ys2lmNm1zXnU56abj11/O54reHemYGM/2/EK25xdS5E5xibM9v5D84pIqz42OMs7rlsHanN1syM1vwKirtzsfzrwOlq+FCaOgY0ZQvisH/uch+N2vID4OtmcHPyUebOCzPZsyoyTrqvuwBNr3jmPpN7kA9D0ykSv/1oHJY7ZzVccFXNN1ITnbixl5aRoxsUZSWsOvpJI1YyW4VzplvLzYlAQSu6WTu3ZbjXVFRERERER+KLTmpRyIviJIVA4imDa+BvgtwSjDmkYmGnCOu39b4YDZhwTTvM8nGAlY/vgLwFBgfQ1rRr4BPBW+Xgt0ijjWESgzJ9jdt5vZJOCU8HrKK5/9caCIsl9exNdQvypWxfEngEfc/V0zGwncW00btVGaiSsm/O+Wu79mZlOA0wkSpb9y90/KBO7+LPAswPD0lvXPgjWghdtzWLg9h6cXralwLPWVT3j00D7cNLBrled7uCt57bcG+m4VFsI5N8LUufDRP2BQ773HtmyHzdvgjkeDn0hrNsBb4+G2d7I59CcVd+euLXfKjGA95drWnHBFGhuWFpCQHEXrTrH88dTl9Do0gZhmDX/XsqavJL5dCs3bp9buBPcm89mKiIiIiIg0BCUv5UD0JUGycrm7FwPbwtGIA4Arazh3AnCDmd3g7m5mQ919ZnhsFPAf4POIEYh7uPsvq2rUzHq5e+lc39OB0tfvAq+Z2SMEG/b0AqaaWTpQGCYumwMnAg9V0fwFwEQzOwrY4e47zGwl8OOw72FAt4j6nc3scHf/GriQYAp4VT4G3jGzR919q5mlhdfeElgX1rk0ov5Oym6QBEAYU5aZHR1OJ/8F8Gn5epHMrDvBZ/h4+How8El153wfTDxtRIWymyYvotidJw7vR8/kCkuQ7lFUUsLbKzfSOTGejCawa3WJOxfdBh9PDjbjOWxI2eMZrWHiSxXP+9lvYVAvuPNqWHlUYr37Xzotlw2L8zni/LKDjZvFRdF5QJCvXzU3jzkf7eSGlzvXu5/6yl2zjfyN2bQ7Y0jNlYGCrBxyVm6h5cCO33FkIiIiIiIiTYeSl3Igmkuwy/hr5cqSSqc/V+MB4DFgjgXDuVYSJgHdfbqZZQMv1COm683sRKAQyCJM+Ln7fDN7C1hAMFryOncvNrN2wEtmFk0wgvItd3+virazzOwrgqTh5WHZP4FLwunv3wCLI+ovBC41s2cIkqhPUYUwvj8Bn5pZMTCTYO3Pe4G3zWwdMJm9ydH/AGPCjY5uKNfcpcDT4QZBy4Eqk72hC4CLzawQyATur6F+kzBmRSYA07cEm668v3Yz6fGxpMfHcmy7NEa2S6twTkpsDEXuZY69vmwD/161idM6taZTYjwb8wr428LVTN+Szesja71X1Hfquq8W8vYiuPPXkNgcJs/ae6xjRvAz8pCK58XHQtvWwbGxrWv319RjF62iTbdYug9rTmJKNCtm5jH2L5tI69CM025oDcDWtQWMf2orfY9IJCbOWD49j7F/3sihZ7fk6AtrOfJxP8qavhKijJShXSocW/+fmeCQ0KUVMYlx5G/eyaZPFoIZ6cf3a/BYRUREREREGouVTjEUkX1jZu0J1sHs6+5VL0zYgMLp5Le4+7TGjqWxDU9v6dPOOryxw8D+MaHS8mMzUpl0eiWZPGDkuKkUufPFj/duxz1503bumLaE+Vm72JZfSEJMNCPSk7l1UDd+1LH1dxJ7XXV981NW7dpd6bF7roN7r6/ivBPgqIPhlb/C2L4H1aqvsX/ZyOevb2fLqgLyc0tIyWjG0FNb8LP7Mkht1wyA7RsLeeyi1ayclUfezhIyesRywhVpnP6bdKJj6jYZ+76H+9apfnleXMKCB94loXMrul1+dIXj26YuZ+vXSynYuovi/CJiEuJI6tmGNicNIL5NhcHL9TL7ljf2SzsiIiIi8v1gZtPdvcISZyJNnZKXIvuBmV0C/An4H3d/u7HjKaXk5V5NJXl5wLml8mRtbdU2ednQ9jV52RQoeSkiIiJyYFHyUr6vNG1cZD9w95eBlxs7jvLcfWRjxyAiIiIiIiIiUl9RNVcRERERERERERERaXhKXoqIiIiIiIiIiEiTpOSliIiIiIiIiIiINEnasEdEDgjDhw/3adMO+H2LRERERETkAKUNe+T7SiMvRUREREREREREpElS8lJERERERERERESaJCUvRUREREREREREpElS8lJERERERERERESaJCUvRUREREREREREpElS8lJERERERERERESaJCUvRUREREREREREpElS8lJERERERERERESaJCUvRUREREREREREpElS8lJERERERERERESaJCUvRUREREREREREpElS8lJERERERERERESaJCUvRUREREREREREpElS8lJERERERERERESaJCUvRUREREREREREpElS8lJERERERERERESaJCUvRUREREREREREpElS8lJERERERERERESaJCUvRUREREREREREpEmKaewARERERERERESk4U2fPr1NTEzMKGAgGuAmjaMEmFdUVPSrgw8+eFNlFZS8FBERERERERE5AMXExIzKyMjol56enhUVFeWNHY8ceEpKSmzz5s39MzMzRwFnVlZHyUsROTCsWgK/OqWxo5DGcsuE76zpsX0P+s7aPlDc93Dfxg6hyZt9yxuNHYKIiIj8MA1U4lIaU1RUlKenp+/IzMwcWGWdhgxIRERERERERESajKgfQuJy4sSJCePGjUtq7Diq8sYbb7ScOnVq88aOo6kKn8Eqc5QaeSkiIiIiIiIicqD71SkH79f2Ro2fXptqL7/8csqll17aY8aMGfOHDh26uz5dHX300bmXX35557i4OD/xxBNzanvezJkz4y+88MLuZsaYMWOWDRgwIL8+/VdnzJgxyZMmTWpx/vnnr93fbR8olLwUEREREREREZFG8cYbb6QNGzZs1+jRo9OGDh26vj5txMTE8PLLL6+u63lvv/12yqmnnrr90UcfrXW/RUVFxMTUPp127rnnZp977rnZdY1N9tK0cRGR75m1Obu54euFHP7uZBJe/BD7xwRW7syrUG/FzlzO/XgWKaM/JvGljzjuv1OZtnlHhXpbdxfwm68X0v2tz2j+4od0e/Mzrv9qAZvzChrichrchC/g+Msg42iIGwwdR8L5N8OCpVWfc8qVYP3grscaKsrKbV1bwKgb1nL74Uu4MGEO59hsNq0s+zktnZbLU1et4Ya+i7gwYQ6/7ryAxy5axcYVlX+JvHVdIX+7fDVXZMzngrg5XNNtIa/cvqEhLqdBFGzPZd2/prP0iY+Ye8cY5tz6JgXbKn4Zv+H9OSx/dhLz73mHObe+ybZvVlSoU5idx4b/zmHJ/33AvLvHMv/ef7H8mYnsWl7ppogiIiIiUoMdO3ZETZs2LemFF15Y+c4776RGHrvrrrva9u7du3+fPn36X3vttR0A5s2bF3fEEUf07tOnT//+/fv3mz9/fhzA3Xff3XbgwIH9evfu3f/mm29uD5CdnR01cuTInn369Onfq1evAc8991yZ