{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "introduction",
   "metadata": {},
   "source": [
    "# TP SQL — la base `education.db` — Corrigé\n",
    "\n",
    "Écoles, collèges, lycées, spécialités et communes de France : la base\n",
    "`education.db` est décrite en détail dans `README_bases.md`. Ce qu'il faut\n",
    "savoir pour ce TP :\n",
    "\n",
    "- **aucune valeur `NULL`** ; dans les tables d'effectifs, l'absence de ligne signifie un effectif nul ;\n",
    "- les **codes** (`code_insee`, `code_commune`, `dep_code`, `uai`…) sont des **chaînes de caractères** : on écrit `dep_code = '78'`, avec des apostrophes ;\n",
    "- les établissements sont **datés** : la clé primaire de `ecoles`, `colleges` et `lycees` est le couple `(uai, rentree)`.\n",
    "\n",
    "**Rappels hors programme** : `NULL`, `LEFT JOIN`, `WITH`, `IN`/`NOT IN`, `EXISTS`, `GROUP_CONCAT`.\n",
    "\n",
    "Tout ce TP se traite avec `SELECT … FROM … JOIN … ON … WHERE … GROUP BY … HAVING … ORDER BY … LIMIT/OFFSET`,\n",
    "les sous-requêtes et `UNION`/`INTERSECT`/`EXCEPT`."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "chargement-base",
   "metadata": {},
   "source": [
    "## Chargement de la base"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "2d5b74ad",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "name\n",
      "------------------\n",
      "communes\n",
      "ecoles\n",
      "colleges\n",
      "effectifs_colleges\n",
      "lycees\n",
      "effectifs_lycees\n",
      "specialites\n",
      "combinaisons\n",
      "cpge\n"
     ]
    }
   ],
   "source": [
    "from sql_fonctions import GestionnaireSQL\n",
    "\n",
    "db = GestionnaireSQL(\"education.db\")\n",
    "db.liste_tables()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "d94eb764",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "communes : ['code_insee', 'nom_standard', 'nom_sans_pronom', 'nom_a', 'nom_de', 'nom_sans_accent', 'nom_majuscule', 'reg_code', 'reg_nom', 'dep_code', 'dep_nom', 'epci_code', 'epci_nom', 'code_postal', 'academie_code', 'academie_nom', 'population', 'superficie_km2', 'altitude_moyenne', 'altitude_min', 'altitude_max', 'latitude_mairie', 'longitude_mairie', 'latitude_centre', 'longitude_centre', 'grille_densite', 'grille_densite_texte', 'gentile', 'url_wikipedia']\n",
      "ecoles : ['uai', 'rentree', 'denomination', 'patronyme', 'secteur', 'code_commune', 'rep', 'rep_plus', 'nb_classes', 'pre_elementaire', 'elementaire', 'ulis']\n",
      "colleges : ['uai', 'rentree', 'denomination', 'patronyme', 'secteur', 'code_commune', 'rep', 'rep_plus']\n",
      "effectifs_colleges : ['uai', 'rentree', 'niveau', 'filles', 'garcons']\n",
      "lycees : ['uai', 'rentree', 'denomination', 'patronyme', 'secteur', 'code_commune']\n",
      "effectifs_lycees : ['uai', 'rentree', 'niveau', 'serie', 'filles', 'garcons']\n",
      "specialites : ['uai', 'rentree', 'niveau', 'code_specialite', 'specialite', 'filles', 'garcons']\n",
      "cpge : ['rentree', 'ministere', 'filiere', 'annee_etude', 'garcons_public', 'filles_public', 'garcons_prive', 'filles_prive']\n"
     ]
    }
   ],
   "source": [
    "# Les schémas des tables utilisées dans ce TP.\n",
    "for table in [\"communes\", \"ecoles\", \"colleges\", \"effectifs_colleges\",\n",
    "              \"lycees\", \"effectifs_lycees\", \"specialites\", \"cpge\"]:\n",
    "    print(f\"{table} : {db.schema('SELECT * FROM ' + table)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "utilisation-requetes",
   "metadata": {},
   "source": [
    "### Exécuter une requête dans ce TP\n",
    "\n",
    "Placer ce notebook, `education.db` et `sql_fonctions.py` dans le même dossier, puis exécuter les deux cellules de chargement ci-dessus avec **Maj + Entrée**. Dans une cellule de code, écrire une requête SQL entre les triples guillemets de `db.requete(\"\"\"…\"\"\")`, puis exécuter la cellule : les noms des colonnes et les lignes du résultat s'affichent en dessous. Les triples guillemets permettent d'écrire la requête sur plusieurs lignes ; les valeurs textuelles SQL restent entre apostrophes. Par exemple :\n",
    "\n",
    "```python\n",
    "db.requete(\"\"\"\n",
    "SELECT nom_standard\n",
    "FROM communes\n",
    "LIMIT 5\n",
    "\"\"\")\n",
    "```\n",
    "\n",
    "Modifier la requête et réexécuter la cellule pour essayer une autre solution. Pour la partie graphique, `db.liste(\"\"\"…\"\"\")` renvoie une liste de tuples à conserver dans une variable, tandis que `db.schema(\"\"\"…\"\"\")` renvoie les noms des colonnes. Après un redémarrage du noyau, réexécuter les cellules de chargement."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25b69163",
   "metadata": {},
   "source": [
    "## 1. Lire le schéma\n",
    "\n",
    "**Question 1**. Sans écrire de requête :\n",
    "\n",
    "1. Quelle est la clé primaire de `communes` ? Celle de `lycees` ? Pourquoi `uai` seul ne suffit-il pas ?\n",
    "2. Quelle colonne de `lycees` est une clé étrangère, et vers quelle colonne de quelle table ?\n",
    "3. Donner le type d'association ($1-1$, $1-*$ ou $*-*$) entre : `communes` et `lycees` ; `lycees` et `effectifs_lycees` ; les lycées et les spécialités."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf0daa31",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "source": [
    "*Réponse.*\n",
    "\n",
    "1. `code_insee` ; le couple `(uai, rentree)` : un même établissement apparaît une fois **par rentrée**, `uai` seul n'est donc pas unique dans la table.\n",
    "2. `code_commune` référence `communes(code_insee)` — les deux colonnes ont le **même contenu mais pas le même nom**.\n",
    "3. `communes`–`lycees` : $1-*$ (une commune a plusieurs lycées, un lycée une seule commune) ; `lycees`–`effectifs_lycees` : $1-*$ ; lycées–spécialités : $*-*$, et c'est précisément le rôle de la **table d'association** `specialites`, dont chaque ligne relie un lycée (clé étrangère `(uai, rentree)`) à une spécialité (`code_specialite`)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2cff0658",
   "metadata": {},
   "source": [
    "## 2. Une seule table\n",
    "\n",
    "**Question 2** *(projection, sélection, tri)*. Le nom et la population des communes des Yvelines\n",
    "(`dep_code = '78'`) de plus de 20 000 habitants, par population décroissante."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "4a265f76",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nom_standard              population\n",
      "------------------------------------\n",
      "Versailles                     84095\n",
      "Sartrouville                   52763\n",
      "Saint-Germain-en-Laye          45931\n",
      "Mantes-la-Jolie                43526\n",
      "Poissy                         40983\n",
      "Conflans-Sainte-Honorine       36958\n",
      "Trappes                        34689\n",
      "Les Mureaux                    34632\n",
      "Houilles                       33983\n",
      "Montigny-le-Bretonneux         32465\n",
      "Plaisir                        31811\n",
      "Le Chesnay-Rocquencourt        30689\n",
      "Chatou                         30598\n",
      "Guyancourt                     29778\n",
      "Rambouillet                    27724\n",
      "Élancourt                      26365\n",
      "Maisons-Laffitte               23093\n",
      "Vélizy-Villacoublay            23011\n",
      "Mantes-la-Ville                22332\n",
      "Achères                        22241\n",
      "Saint-Cyr-l'École              21268\n",
      "Carrières-sous-Poissy          20825\n",
      "Maurepas                       20629\n",
      "La Celle-Saint-Cloud           20460\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT nom_standard, population\n",
    "FROM communes\n",
    "WHERE dep_code = '78' AND population > 20000  -- '78' entre apostrophes : dep_code est une chaîne\n",
    "ORDER BY population DESC\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b8f5a34",
   "metadata": {},
   "source": [
    "**Question 3** *(`DISTINCT`)*.\n",
    "\n",
    "1. Comparer le nombre de lignes de `colleges` et son nombre d'établissements distincts. Expliquer l'écart.\n",
    "2. Combien de communes distinctes comptent au moins un collège REP+ à la rentrée 2025 ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "06a5fa37",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lignes  etablissements\n",
      "----------------------\n",
      " 48676            7029\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT COUNT(*) AS lignes, COUNT(DISTINCT uai) AS etablissements\n",
    "FROM colleges\n",
    "\"\"\")\n",
    "# 48 676 lignes pour 7 029 collèges : une ligne par établissement ET par rentrée (2019-2025)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "c9198bf0",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nb_communes\n",
      "-----------\n",
      "        198\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT COUNT(DISTINCT code_commune) AS nb_communes\n",
    "FROM colleges\n",
    "WHERE rentree = 2025 AND rep_plus = TRUE\n",
    "\"\"\")\n",
    "# « au moins un » se traduit par DISTINCT : une commune à deux collèges REP+ ne compte qu'une fois.\n",
    "# rep_plus est un booléen : on le compare à TRUE (l'écriture = 1 est acceptée)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4cabcd8a",
   "metadata": {},
   "source": [
    "**Question 4** *(`ORDER BY`, `LIMIT`, `OFFSET`)*. Les trois communes les plus peuplées de\n",
    "France, puis les communes des rangs 4 à 10 (nom et population)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "177d4b6f",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nom_standard  population\n",
      "------------------------\n",
      "Paris            2103778\n",
      "Marseille         886040\n",
      "Lyon              519127\n",
      "nom_standard  population\n",
      "------------------------\n",
      "Toulouse          514819\n",
      "Nice              357737\n",
      "Nantes            327734\n",
      "Montpellier       310240\n",
      "Strasbourg        293771\n",
      "Bordeaux          267991\n",
      "Lille             238246\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT nom_standard, population\n",
    "FROM communes\n",
    "ORDER BY population DESC\n",
    "LIMIT 3\n",
    "\"\"\")\n",
    "\n",
    "db.requete(\"\"\"\n",
    "SELECT nom_standard, population\n",
    "FROM communes\n",
    "ORDER BY population DESC\n",
    "LIMIT 7 OFFSET 3\n",
    "\"\"\")\n",
    "# LIMIT sans ORDER BY renverrait des lignes non déterminées,\n",
    "# et LIMIT tranche arbitrairement entre ex æquo."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d198f8a6",
   "metadata": {},
   "source": [
    "**Question 5** *(renommage `AS`)*. Les dix communes les plus denses parmi celles de plus de\n",
    "10 000 habitants (nom et densité en habitants/km²)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "d8ff2af4",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nom_standard                     densite\n",
      "----------------------------------------\n",
      "Levallois-Perret       28137.19008264463\n",
      "Vincennes             25364.736842105263\n",
      "Le Pré-Saint-Gervais  24275.714285714286\n",
      "Saint-Mandé           23154.945054945056\n",
      "Montrouge              22378.74396135266\n",
      "Clichy                 20912.33766233766\n",
      "Paris                   19954.2634923646\n",
      "Courbevoie            19928.365384615383\n",
      "Asnières-sur-Seine    19449.482401656314\n",
      "Boulogne-Billancourt  19321.266233766233\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT nom_standard, population / superficie_km2 AS densite\n",
    "FROM communes\n",
    "WHERE population > 10000       -- l'alias n'existe pas encore ici :\n",
    "ORDER BY densite DESC          -- ... mais il existe déjà là !\n",
    "LIMIT 10\n",
    "\"\"\")\n",
    "# Ordre d'exécution : FROM -> WHERE -> SELECT (l'alias naît ici) -> ORDER BY -> LIMIT."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b6708bb",
   "metadata": {},
   "source": [
    "### Agrégats\n",
    "\n",
    "**Question 6** *(agrégats simples)*. En une seule requête : le nombre de communes des Yvelines,\n",
    "leur population totale, leur superficie totale et l'altitude du plus haut sommet du département."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "5d8bec6c",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nb_communes  nb_habitants      km2  sommet\n",
      "------------------------------------------\n",
      "        259       1485086  2305.68     201\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT COUNT(*) AS nb_communes, SUM(population) AS nb_habitants,\n",
    "       SUM(superficie_km2) AS km2, MAX(altitude_max) AS sommet\n",
    "FROM communes\n",
    "WHERE dep_code = '78'\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ef5a19f",
   "metadata": {},
   "source": [
    "**Question 7** *(`GROUP BY`)*. Le nombre de communes et la population totale de chaque région,\n",
    "par population décroissante (nom de région, nombre de communes, population de la région)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "a18d403d",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "reg_nom                     nb_communes  nb_habitants\n",
      "-----------------------------------------------------\n",
      "Île-de-France                      1266      12463067\n",
      "Auvergne-Rhône-Alpes               4019       8199817\n",
      "Nouvelle-Aquitaine                 4293       6150451\n",
      "Occitanie                          4445       6123113\n",
      "Hauts-de-France                    3781       5992194\n",
      "Grand Est                          5115       5563378\n",
      "Provence-Alpes-Côte d'Azur          946       5218960\n",
      "Pays de la Loire                   1225       3888744\n",
      "Bretagne                           1202       3449370\n",
      "Normandie                          2643       3343946\n",
      "Bourgogne-Franche-Comté            3685       2802670\n",
      "Centre-Val de Loire                1754       2587031\n",
      "La Réunion                           24        889679\n",
      "Guadeloupe                           32        384160\n",
      "Martinique                           34        360630\n",
      "Corse                               360        355486\n",
      "Guyane                               22        293996\n",
      "Mayotte                              17        256518\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT reg_nom, COUNT(*) AS nb_communes, SUM(population) AS nb_habitants\n",
    "FROM communes\n",
    "GROUP BY reg_nom\n",
    "ORDER BY nb_habitants DESC\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84093f1f",
   "metadata": {},
   "source": [
    "**Question 8** *(`WHERE` et `HAVING`)*. Les académies comptant au moins cinq communes de plus de\n",
    "50 000 habitants, avec ce nombre, par ordre décroissant."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "463060b0",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "academie_nom  nb\n",
      "----------------\n",
      "Créteil       23\n",
      "Versailles    21\n",
      "Nice           9\n",
      "Nantes         7\n",
      "Lille          6\n",
      "La Réunion     6\n",
      "Rennes         5\n",
      "Montpellier    5\n",
      "Lyon           5\n",
      "Bordeaux       5\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT academie_nom, COUNT(*) AS nb\n",
    "FROM communes\n",
    "WHERE population > 50000   -- filtre les LIGNES, avant regroupement\n",
    "GROUP BY academie_nom\n",
    "HAVING COUNT(*) >= 5       -- filtre les GROUPES, après agrégation\n",
    "ORDER BY nb DESC\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac47842b",
   "metadata": {},
   "source": [
    "**Question 9** *(division entière !)*. La proportion de filles en terminale générale (série `G`)\n",
    "en France à la rentrée 2025."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "3f46d35c",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "proportion\n",
      "----------\n",
      "         0\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT SUM(filles) / SUM(filles + garcons) AS proportion\n",
    "FROM effectifs_lycees\n",
    "WHERE rentree = 2025 AND niveau = 'terminale' AND serie = 'G'\n",
    "\"\"\")\n",
    "# 0 ! Les effectifs sont entiers : la division est ENTIÈRE."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "9174a96f",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        proportion\n",
      "------------------\n",
      "0.5562758311351282\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT 1.0 * SUM(filles) / SUM(filles + garcons) AS proportion\n",
    "FROM effectifs_lycees\n",
    "WHERE rentree = 2025 AND niveau = 'terminale' AND serie = 'G'\n",
    "\"\"\")\n",
    "# Multiplier par 1.0 force le calcul en flottant."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7cc1eb50",
   "metadata": {},
   "source": [
    "### Sous-requêtes\n",
    "\n",
    "**Question 10** *(sous-requête scalaire)*. La commune la plus peuplée des Yvelines, de deux\n",
    "façons : avec `ORDER BY … LIMIT 1`, puis avec une sous-requête scalaire. Quelle version garde\n",
    "les ex æquo ? Pourquoi `SELECT nom_standard, MAX(population)` serait-il incorrect ?\n",
    "\n",
    "On affichera (nom, population)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "12de811d",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nom_standard  population\n",
      "------------------------\n",
      "Versailles         84095\n",
      "nom_standard  population\n",
      "------------------------\n",
      "Versailles         84095\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT nom_standard, population\n",
    "FROM communes\n",
    "WHERE dep_code = '78'\n",
    "ORDER BY population DESC\n",
    "LIMIT 1\n",
    "\"\"\")\n",
    "\n",
    "db.requete(\"\"\"\n",
    "SELECT nom_standard, population\n",
    "FROM communes\n",
    "WHERE dep_code = '78'\n",
    "  AND population = (SELECT MAX(population) FROM communes WHERE dep_code = '78')\n",
    "\"\"\")\n",
    "# La sous-requête scalaire garde les ex æquo ; LIMIT 1 en écarterait.\n",
    "# SELECT nom_standard, MAX(population) est incorrect : une colonne non agrégée\n",
    "# n'a pas de sens à côté d'un agrégat (même si certains logiciels l'acceptent)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3635911e",
   "metadata": {},
   "source": [
    "**Question 11** *(rang)*. Le rang de Versailles au classement des communes françaises par\n",
    "population décroissante."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "7ebdd7f7",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rang\n",
      "----\n",
      "  56\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT 1 + COUNT(*) AS rang\n",
    "FROM communes\n",
    "WHERE population > (SELECT population FROM communes WHERE nom_standard = 'Versailles')\n",
    "\"\"\")\n",
    "# Rang = 1 + nombre de communes strictement plus peuplées.\n",
    "# La sous-requête doit être SCALAIRE : on a vérifié qu'une seule commune s'appelle Versailles."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f2891d1",
   "metadata": {},
   "source": [
    "**Question 12** *(agrégat d'agrégat)*. Le nombre moyen d'écoles par commune à la rentrée 2025\n",
    "(parmi les communes qui en ont au moins une)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "9adfee1c",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ecoles_par_commune\n",
      "------------------\n",
      "2.2388224559381453\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT AVG(nb) AS ecoles_par_commune\n",
    "FROM (SELECT COUNT(*) AS nb\n",
    "      FROM ecoles\n",
    "      WHERE rentree = 2025\n",
    "      GROUP BY code_commune)\n",
    "\"\"\")\n",
    "# AVG(COUNT(*)) n'existe pas : un agrégat d'agrégat exige une sous-requête dans le FROM."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b66c299a",
   "metadata": {},
   "source": [
    "**Question 13** *(compter des groupes)*. Dans un département, appelons *doublon* un ensemble\n",
    "de communes ayant exactement la même population. Les départements comptant au moins cent\n",
    "doublons, avec ce nombre, par nombre décroissant."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "d556be75",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dep_nom             nb_doublons\n",
      "-------------------------------\n",
      "Aisne                       172\n",
      "Somme                       170\n",
      "Côte-d'Or                   163\n",
      "Pas-de-Calais               153\n",
      "Marne                       128\n",
      "Haute-Saône                 120\n",
      "Meuse                       119\n",
      "Seine-Maritime              114\n",
      "Oise                        113\n",
      "Moselle                     112\n",
      "Jura                        106\n",
      "Meurthe-et-Moselle          103\n",
      "Hautes-Pyrénées             103\n",
      "Gers                        103\n",
      "Doubs                       103\n",
      "Eure                        100\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT dep_nom, COUNT(*) AS nb_doublons\n",
    "FROM (SELECT dep_nom, population\n",
    "      FROM communes\n",
    "      GROUP BY dep_nom, population\n",
    "      HAVING COUNT(*) > 1)\n",
    "GROUP BY dep_nom\n",
    "HAVING COUNT(*) >= 100\n",
    "ORDER BY nb_doublons DESC\n",
    "\"\"\")\n",
    "# Deux GROUP BY empilés et deux HAVING : celui du DEDANS ne garde que les\n",
    "# groupes d'au moins deux communes (les doublons), celui du DEHORS ne garde que\n",
    "# les départements qui en comptent au moins cent."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "deed944e",
   "metadata": {},
   "source": [
    "## 3. Jointures\n",
    "\n",
    "Toute cette partie se joue dans l'univers des lycées, avec des tables introduites une à une :\n",
    "d'abord le couple `lycees`–`communes`, puis `effectifs_lycees`, et enfin la table d'association\n",
    "`specialites`.\n",
    "\n",
    "### 3.1 Un premier couple : `lycees` et `communes`\n",
    "\n",
    "**Question 14** *(jointure simple)*. La dénomination, le patronyme et le secteur des lycées de\n",
    "Versailles à la rentrée 2025."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "83e68a5b",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "denomination                    patronyme                 secteur\n",
      "-----------------------------------------------------------------\n",
      "LYCEE D'ENSEIGNEMENT GENERAL    HOCHE                     PUBLIC\n",
      "LYCEE GENERAL ET TECHNOLOGIQUE  LA BRUYERE                PUBLIC\n",
      "LYCEE POLYVALENT                JULES FERRY               PUBLIC\n",
      "LYCEE GEN.ET TECHNOL.PRIVE      LES CHATAIGNIERS          PRIVE\n",
      "LYCEE POLYVALENT PRIVE          ST VINCENT DE PAUL        PRIVE\n",
      "LYCEE GEN.ET TECHNOL.PRIVE      SAINT JEAN ET HULST       PRIVE\n",
      "LYCEE GEN.ET TECHNOL.PRIVE      NOTRE DAME DU GRANDCHAMP  PRIVE\n",
      "LYCEE GENERAL ET TECHNOLOGIQUE  MARIE CURIE               PUBLIC\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT L.denomination, L.patronyme, L.secteur\n",
    "FROM (lycees AS L JOIN communes AS C ON L.code_commune = C.code_insee)\n",
    "WHERE C.nom_standard = 'Versailles' AND L.rentree = 2025\n",
    "\"\"\")\n",
    "# La condition de jointure apparie la clé étrangère code_commune à la clé\n",
    "# primaire code_insee : deux colonnes de même contenu... mais pas de même nom."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2341144",
   "metadata": {},
   "source": [
    "**Question 15** *(désigner par la clé, pas par le nom)*. Combien la commune nommée Saint-Denis\n",
    "compte-t-elle de lycées à la rentrée 2025 ? La réponse obtenue est-elle correcte ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "8cc90bad",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nb_lycees\n",
      "---------\n",
      "       11\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT COUNT(*) AS nb_lycees\n",
    "FROM (lycees AS L JOIN communes AS C ON L.code_commune = C.code_insee)\n",
    "WHERE L.rentree = 2025 AND C.nom_standard = 'Saint-Denis'\n",
    "\"\"\")\n",
    "# 11 lycées ? Non : un NOM ne désigne pas une commune."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "57719582",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nom_standard  dep_nom            nb_lycees\n",
      "------------------------------------------\n",
      "Saint-Denis   Seine-Saint-Denis          5\n",
      "Saint-Denis   La Réunion                 6\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT C.nom_standard, C.dep_nom, COUNT(*) AS nb_lycees\n",
    "FROM (lycees AS L JOIN communes AS C ON L.code_commune = C.code_insee)\n",
    "WHERE L.rentree = 2025 AND C.nom_standard = 'Saint-Denis'\n",
    "GROUP BY C.code_insee, C.nom_standard, C.dep_nom\n",
    "\"\"\")\n",
    "# Le 11 fusionnait DEUX communes : Saint-Denis (93) et Saint-Denis (974).\n",
    "# On regroupe par la CLÉ PRIMAIRE (en répétant dans le GROUP BY les colonnes\n",
    "# affichées) : 1 446 noms de communes sont partagés, seul le code identifie."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05d32338",
   "metadata": {},
   "source": [
    "### 3.2 Un deuxième couple : `lycees` et `effectifs_lycees`\n",
    "\n",
    "**Question 16** *(condition de jointure composée)*. Le patronyme et l'effectif de terminale G\n",
    "des lycées de Versailles à la rentrée 2025, par effectif décroissant. Le code INSEE de\n",
    "Versailles, lu dans `communes` à la question 14, est `'78646'`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "c2d5dd5b",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "patronyme                 effectif\n",
      "----------------------------------\n",
      "HOCHE                          377\n",
      "LA BRUYERE                     376\n",
      "SAINT JEAN ET HULST            314\n",
      "NOTRE DAME DU GRANDCHAMP       254\n",
      "MARIE CURIE                    236\n",
      "JULES FERRY                    193\n",
      "LES CHATAIGNIERS                27\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT L.patronyme, E.filles + E.garcons AS effectif\n",
    "FROM (lycees AS L JOIN effectifs_lycees AS E\n",
    "      ON L.uai = E.uai AND L.rentree = E.rentree)\n",
    "WHERE L.code_commune = '78646' AND L.rentree = 2025\n",
    "  AND E.niveau = 'terminale' AND E.serie = 'G'\n",
    "ORDER BY effectif DESC\n",
    "\"\"\")\n",
    "# Les établissements sont datés : la jointure porte sur uai ET rentree.\n",
    "# En oubliant la seconde égalité, chaque lycée serait apparié aux effectifs\n",
    "# de TOUTES ses rentrées."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18df66d2",
   "metadata": {},
   "source": [
    "**Question 17** *(joindre avant d'agréger)*. Le plus grand effectif de terminale G d'un lycée\n",
    "privé à la rentrée 2025."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "8c7badf4",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "record\n",
      "------\n",
      "   495\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT MAX(E.filles + E.garcons) AS record\n",
    "FROM (lycees AS L JOIN effectifs_lycees AS E\n",
    "      ON L.uai = E.uai AND L.rentree = E.rentree)\n",
    "WHERE L.secteur = 'PRIVE' AND E.rentree = 2025\n",
    "  AND E.niveau = 'terminale' AND E.serie = 'G'\n",
    "\"\"\")\n",
    "# Le secteur est dans lycees, l'effectif dans effectifs_lycees : il faut\n",
    "# JOINDRE avant d'agréger. Une sous-requête scalaire ne peut pas remplacer la\n",
    "# jointure : il y a 852 lycées privés (comparer au « record de France », X 2019)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b34d3e3",
   "metadata": {},
   "source": [
    "**Question 18** *(portée d'une sous-requête scalaire)*. Le ou les lycées privés atteignant ce\n",
    "record en 2025 (patronyme, effectif). Que renvoie la requête si la sous-requête calcule le maximum sur tous les lycées ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "2badaa46",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "patronyme  effectif\n",
      "-------------------\n",
      "Résultat vide.\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT L.patronyme, E.filles + E.garcons AS effectif\n",
    "FROM (lycees AS L JOIN effectifs_lycees AS E\n",
    "      ON L.uai = E.uai AND L.rentree = E.rentree)\n",
    "WHERE L.secteur = 'PRIVE' AND E.rentree = 2025\n",
    "  AND E.niveau = 'terminale' AND E.serie = 'G'\n",
    "  AND E.filles + E.garcons = (SELECT MAX(filles + garcons)\n",
    "                              FROM effectifs_lycees\n",
    "                              WHERE rentree = 2025\n",
    "                                AND niveau = 'terminale' AND serie = 'G')\n",
    "\"\"\")\n",
    "# Résultat vide : le maximum TOUS SECTEURS (658 élèves) est atteint par un\n",
    "# lycée public. La sous-requête a une portée trop large."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "205969de",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "patronyme          effectif\n",
      "---------------------------\n",
      "SAINTE MARIE LYON       495\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT L.patronyme, E.filles + E.garcons AS effectif\n",
    "FROM (lycees AS L JOIN effectifs_lycees AS E\n",
    "      ON L.uai = E.uai AND L.rentree = E.rentree)\n",
    "WHERE L.secteur = 'PRIVE' AND E.rentree = 2025\n",
    "  AND E.niveau = 'terminale' AND E.serie = 'G'\n",
    "  AND E.filles + E.garcons =\n",
    "      (SELECT MAX(E2.filles + E2.garcons)\n",
    "       FROM (lycees AS L2 JOIN effectifs_lycees AS E2\n",
    "             ON L2.uai = E2.uai AND L2.rentree = E2.rentree)\n",
    "       WHERE L2.secteur = 'PRIVE' AND E2.rentree = 2025\n",
    "         AND E2.niveau = 'terminale' AND E2.serie = 'G')\n",
    "\"\"\")\n",
    "# La sous-requête doit refaire la MÊME jointure et le MÊME filtre : son maximum\n",
    "# porte alors sur les seuls lycées privés (cf. CCMP 2022 Q8, 2024 Q9)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7a9fd76",
   "metadata": {},
   "source": [
    "### 3.3 La même table des deux côtés : autojointures\n",
    "\n",
    "**Question 19** *(autojointure)*. Les paires de lycées distincts de Versailles à la rentrée\n",
    "2025. Combien de lignes obtiendrait-on avec `<>` au lieu de `<` ? Et sans aucune condition\n",
    "sur les `uai` ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "56e7b4b9",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "patronyme            patronyme\n",
      "---------------------------------------------\n",
      "HOCHE                JULES FERRY\n",
      "HOCHE                LA BRUYERE\n",
      "HOCHE                LES CHATAIGNIERS\n",
      "HOCHE                MARIE CURIE\n",
      "HOCHE                NOTRE DAME DU GRANDCHAMP\n",
      "HOCHE                SAINT JEAN ET HULST\n",
      "HOCHE                ST VINCENT DE PAUL\n",
      "JULES FERRY          LES CHATAIGNIERS\n",
      "JULES FERRY          MARIE CURIE\n",
      "JULES FERRY          NOTRE DAME DU GRANDCHAMP\n",
      "JULES FERRY          SAINT JEAN ET HULST\n",
      "JULES FERRY          ST VINCENT DE PAUL\n",
      "LA BRUYERE           JULES FERRY\n",
      "LA BRUYERE           LES CHATAIGNIERS\n",
      "LA BRUYERE           MARIE CURIE\n",
      "LA BRUYERE           NOTRE DAME DU GRANDCHAMP\n",
      "LA BRUYERE           SAINT JEAN ET HULST\n",
      "LA BRUYERE           ST VINCENT DE PAUL\n",
      "LES CHATAIGNIERS     NOTRE DAME DU GRANDCHAMP\n",
      "LES CHATAIGNIERS     SAINT JEAN ET HULST\n",
      "LES CHATAIGNIERS     ST VINCENT DE PAUL\n",
      "MARIE CURIE          LES CHATAIGNIERS\n",
      "MARIE CURIE          NOTRE DAME DU GRANDCHAMP\n",
      "MARIE CURIE          SAINT JEAN ET HULST\n",
      "MARIE CURIE          ST VINCENT DE PAUL\n",
      "SAINT JEAN ET HULST  NOTRE DAME DU GRANDCHAMP\n",
      "ST VINCENT DE PAUL   NOTRE DAME DU GRANDCHAMP\n",
      "ST VINCENT DE PAUL   SAINT JEAN ET HULST\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT L1.patronyme, L2.patronyme\n",
    "FROM (lycees AS L1 JOIN lycees AS L2\n",
    "      ON L1.code_commune = L2.code_commune AND L1.rentree = L2.rentree)\n",
    "WHERE L1.rentree = 2025 AND L1.code_commune = '78646'\n",
    "  AND L1.uai < L2.uai\n",
    "ORDER BY L1.patronyme, L2.patronyme\n",
    "\"\"\")\n",
    "# Versailles a 8 lycées. Avec L1.uai < L2.uai : 28 paires.\n",
    "# Avec <> : 56 lignes, chaque paire apparaît DEUX FOIS (cf. CCMP 2021 Q4).\n",
    "# Sans condition : 64 lignes, chaque lycée est apparié à lui-même."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3399d2ac",
   "metadata": {},
   "source": [
    "**Question 20** *(autojointure temporelle)*. Pour chaque lycée de Versailles, l'effectif de\n",
    "terminale G à la rentrée 2019 et à la rentrée 2025, et la variation entre les deux, par\n",
    "variation décroissante."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "370aed86",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "patronyme                 effectif_2019  effectif_2025  variation\n",
      "-----------------------------------------------------------------\n",
      "SAINT JEAN ET HULST                 307            314          7\n",
      "NOTRE DAME DU GRANDCHAMP            254            254          0\n",
      "MARIE CURIE                         246            236        -10\n",
      "HOCHE                               397            377        -20\n",
      "LA BRUYERE                          401            376        -25\n",
      "JULES FERRY                         242            193        -49\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT L.patronyme,\n",
    "       E19.filles + E19.garcons AS effectif_2019,\n",
    "       E25.filles + E25.garcons AS effectif_2025,\n",
    "       (E25.filles + E25.garcons) - (E19.filles + E19.garcons) AS variation\n",
    "FROM ((lycees AS L JOIN effectifs_lycees AS E25\n",
    "       ON L.uai = E25.uai AND L.rentree = E25.rentree)\n",
    "      JOIN effectifs_lycees AS E19\n",
    "      ON E19.uai = E25.uai AND E19.niveau = E25.niveau AND E19.serie = E25.serie)\n",
    "WHERE L.rentree = 2025 AND E19.rentree = 2019\n",
    "  AND E25.niveau = 'terminale' AND E25.serie = 'G'\n",
    "  AND L.code_commune = '78646'\n",
    "ORDER BY variation DESC\n",
    "\"\"\")\n",
    "# Deux copies de effectifs_lycees, une par rentrée : on joint la table à\n",
    "# elle-même sur (uai, niveau, serie) et chaque copie reçoit sa propre rentrée.\n",
    "# Un lycée sans terminale G à l'une des deux rentrées disparaît du résultat."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "725b2ae1",
   "metadata": {},
   "source": [
    "### 3.4 Trois tables et plus\n",
    "\n",
    "**Question 21** *(jointure triple, agrégat)*. Les dix académies dont l'effectif total de\n",
    "terminale G est le plus élevé à la rentrée 2025 (nom, effectif)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "22d6b959",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "academie_nom   effectif\n",
      "-----------------------\n",
      "Versailles        41509\n",
      "Créteil           27218\n",
      "Lille             22026\n",
      "Nantes            20826\n",
      "Grenoble          19135\n",
      "Lyon              19027\n",
      "Bordeaux          18350\n",
      "Rennes            17897\n",
      "Aix-Marseille     16971\n",
      "Normandie         16790\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT C.academie_nom, SUM(E.filles + E.garcons) AS effectif\n",
    "FROM ((effectifs_lycees AS E JOIN lycees AS L\n",
    "       ON E.uai = L.uai AND E.rentree = L.rentree)\n",
    "      JOIN communes AS C ON L.code_commune = C.code_insee)\n",
    "WHERE E.rentree = 2025 AND E.niveau = 'terminale' AND E.serie = 'G'\n",
    "GROUP BY C.academie_nom\n",
    "ORDER BY effectif DESC\n",
    "LIMIT 10\n",
    "\"\"\")\n",
    "# Trois tables, mais rien de neuf : l'effectif est dans effectifs_lycees,\n",
    "# l'académie dans communes, et lycees fait le pont entre les deux."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f69b75f5",
   "metadata": {},
   "source": [
    "**Question 22** *(maximum par groupe)*. Pour chaque académie, le lycée dont l'effectif de\n",
    "terminale G est le plus élevé à la rentrée 2025 (académie, patronyme, effectif), par effectif\n",
    "décroissant. Pourquoi la sous-requête scalaire de la question 18 ne suffit-elle plus ici ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "2d8b1a8d",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "academie_nom      patronyme                   effectif\n",
      "------------------------------------------------------\n",
      "Versailles        ROSA PARKS                       658\n",
      "Lyon              INTERNATIONAL                    649\n",
      "Nice              AUGUSTE RENOIR                   491\n",
      "Toulouse          SAINT-SERNIN                     462\n",
      "Rennes            ST PAUL                          460\n",
      "Grenoble          CLAUDE LOUIS BERTHOLLET          445\n",
      "Montpellier       FRANCOIS ARAGO                   442\n",
      "Aix-Marseille     GEORGES DUBY                     434\n",
      "Clermont-Ferrand  JEANNE D'ARC                     430\n",
      "Bordeaux          FRANCOIS MAURIAC                 425\n",
      "Nancy-Metz        HENRI POINCARE                   415\n",
      "Normandie         MALHERBE                         406\n",
      "Nantes            SAINT BENOIT                     401\n",
      "Mayotte           YOUNOUSSA BAMANA                 380\n",
      "Poitiers          JEAN DAUTET                      380\n",
      "Orléans-Tours     GRANDMONT                        379\n",
      "Lille             INTERNATIONAL MONTEBELLO         374\n",
      "Paris             HELENE BOUCHER                   368\n",
      "Corse             GIOCANTE DE CASABIANCA           360\n",
      "Créteil           WOLFGANG AMADEUS MOZART          349\n",
      "Amiens            PIERRE D AILLY                   348\n",
      "Strasbourg        JEAN MERMOZ                      347\n",
      "Dijon             CATHERINE ET RAYMOND JANOT       338\n",
      "Limoges           D ARSONVAL                       325\n",
      "Besançon          XAVIER MARMIER                   311\n",
      "Reims             JEAN JAURES                      310\n",
      "Guadeloupe        BAIMBRIDGE                       281\n",
      "Guyane            LEON-GONTRAN DAMAS               274\n",
      "La Réunion        EVARISTE DE PARNY                249\n",
      "Martinique        BELLEVUE                         249\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT C.academie_nom, L.patronyme, E.filles + E.garcons AS effectif\n",
    "FROM (((effectifs_lycees AS E JOIN lycees AS L\n",
    "        ON E.uai = L.uai AND E.rentree = L.rentree)\n",
    "       JOIN communes AS C ON L.code_commune = C.code_insee)\n",
    "      JOIN (SELECT C2.academie_nom AS academie,\n",
    "                   MAX(E2.filles + E2.garcons) AS record\n",
    "            FROM ((effectifs_lycees AS E2 JOIN lycees AS L2\n",
    "                   ON E2.uai = L2.uai AND E2.rentree = L2.rentree)\n",
    "                  JOIN communes AS C2 ON L2.code_commune = C2.code_insee)\n",
    "            WHERE E2.rentree = 2025 AND E2.niveau = 'terminale' AND E2.serie = 'G'\n",
    "            GROUP BY C2.academie_nom) AS M\n",
    "      ON C.academie_nom = M.academie AND E.filles + E.garcons = M.record)\n",
    "WHERE E.rentree = 2025 AND E.niveau = 'terminale' AND E.serie = 'G'\n",
    "ORDER BY effectif DESC\n",
    "\"\"\")\n",
    "# Une sous-requête SCALAIRE ne renvoie QU'UNE valeur : elle donnerait le record\n",
    "# de France (658, question 18), et non celui de chaque académie. Il en faudrait\n",
    "# une PAR académie.\n",
    "# On les calcule donc toutes d'un coup par un GROUP BY : la sous-requête du FROM\n",
    "# produit la TABLE (academie, record), qu'on JOINT au résultat de la question 21\n",
    "# sur l'académie ET sur l'effectif. Ne survivent que les lignes atteignant le\n",
    "# record de LEUR académie : 30 lignes, une par académie (les ex æquo seraient\n",
    "# tous conservés, comme à la question 10)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab8d62a2",
   "metadata": {},
   "source": [
    "**Question 23** *(deux jointures triples)*. Les dix académies où la proportion d'élèves de\n",
    "terminale inscrits en voie générale (série `G`) est la plus élevée à la rentrée 2025\n",
    "(nom, proportion)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "e27aeaf8",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "academie               proportion_TG\n",
      "------------------------------------\n",
      "Paris             0.8300464967131633\n",
      "Nice              0.7724336865868189\n",
      "Corse             0.7682983682983683\n",
      "Bordeaux          0.7581391505536275\n",
      "Versailles        0.7501807272464397\n",
      "Strasbourg         0.742875788557755\n",
      "Poitiers          0.7420810626702997\n",
      "Clermont-Ferrand  0.7409080104587592\n",
      "Nantes            0.7374384759746468\n",
      "Reims             0.7364384797564001\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT T1.academie, 1.0 * T1.effectif / T2.effectif AS proportion_TG\n",
    "FROM ((SELECT C.academie_nom AS academie,\n",
    "              SUM(E.filles + E.garcons) AS effectif\n",
    "       FROM ((effectifs_lycees AS E JOIN lycees AS L\n",
    "              ON E.uai = L.uai AND E.rentree = L.rentree)\n",
    "             JOIN communes AS C ON L.code_commune = C.code_insee)\n",
    "       WHERE E.rentree = 2025 AND E.niveau = 'terminale' AND E.serie = 'G'\n",
    "       GROUP BY C.academie_nom) AS T1\n",
    "      JOIN\n",
    "      (SELECT C.academie_nom AS academie,\n",
    "              SUM(E.filles + E.garcons) AS effectif\n",
    "       FROM ((effectifs_lycees AS E JOIN lycees AS L\n",
    "              ON E.uai = L.uai AND E.rentree = L.rentree)\n",
    "             JOIN communes AS C ON L.code_commune = C.code_insee)\n",
    "       WHERE E.rentree = 2025 AND E.niveau = 'terminale'\n",
    "       GROUP BY C.academie_nom) AS T2\n",
    "      ON T1.academie = T2.academie)\n",
    "ORDER BY proportion_TG DESC\n",
    "LIMIT 10\n",
    "\"\"\")\n",
    "# Le numérateur et le dénominateur portent sur des ENSEMBLES DE LIGNES\n",
    "# DIFFÉRENTS (la terminale G, toute la terminale) : un seul GROUP BY ne peut\n",
    "# pas les produire ensemble. On calcule donc chaque total dans sa propre\n",
    "# sous-requête du FROM, puis on les lie académie par académie."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18e373d2",
   "metadata": {},
   "source": [
    "**Question 24** *(table d'association : traduire un « et »)*. Les lycées de l'académie de\n",
    "Versailles proposant, en terminale à la rentrée 2025, à la fois « Numérique et sciences\n",
    "informatiques » et « Arts plastiques » (patronyme du lycée, nom de la commune). Pourquoi la condition\n",
    "`specialite = 'Numérique et sciences informatiques' AND specialite = 'Arts plastiques'`\n",
    "renvoie-t-elle une table vide ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "67c994e1",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "patronyme\n",
      "---------\n",
      "Résultat vide.\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT L.patronyme\n",
    "FROM ((specialites AS S JOIN lycees AS L ON S.uai = L.uai AND S.rentree = L.rentree)\n",
    "      JOIN communes AS C ON L.code_commune = C.code_insee)\n",
    "WHERE S.rentree = 2025 AND S.niveau = 'terminale' AND C.academie_nom = 'Versailles'\n",
    "  AND S.specialite = 'Numérique et sciences informatiques'\n",
    "  AND S.specialite = 'Arts plastiques'\n",
    "\"\"\")\n",
    "# Vide : une MÊME ligne de specialites ne peut pas porter deux valeurs à la fois."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "db8aea0c",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "patronyme                       nom_standard\n",
      "---------------------------------------------------------\n",
      "SAINTE MARIE LA CROIX           Antony\n",
      "EDMOND MICHELET                 Arpajon\n",
      "NOTRE-DAME                      Bourg-la-Reine\n",
      "SAINT PIERRE                    Brunoy\n",
      "FRANCO ALLEMAND                 Buc\n",
      "EMMANUEL MOUNIER                Châtenay-Malabry\n",
      "GUY DE MAUPASSANT               Colombes\n",
      "JULES FERRY                     Conflans-Sainte-Honorine\n",
      "ROBERT DOISNEAU                 Corbeil-Essonnes\n",
      "ECOLE EUROPEENNE DE PARIS LA D  Courbevoie\n",
      "PAUL LAPIE                      Courbevoie\n",
      "NIKOLA TESLA                    Dourdan\n",
      "RENE CASSIN                     Gonesse\n",
      "MONTESQUIEU                     Herblay-sur-Seine\n",
      "FRAGONARD                       L'Isle-Adam\n",
      "JEAN MONNET                     La Queue-les-Yvelines\n",
      "L'ESSOURIAU                     Les Ulis\n",
      "ST EXUPERY                      Mantes-la-Jolie\n",
      "NOTRE-DAME DE BURY              Margency\n",
      "PARC DE VILGENIS                Massy\n",
      "FUSTEL DE COULANGES             Massy\n",
      "ROSA PARKS                      Montgeron\n",
      "JEAN-JACQUES ROUSSEAU           Montmorency\n",
      "COURS SECONDAIRE                Orsay\n",
      "LE CORBUSIER                    Poissy\n",
      "CAMILLE PISSARRO                Pontoise\n",
      "LOUIS BASCAN                    Rambouillet\n",
      "RICHELIEU                       Rueil-Malmaison\n",
      "MANSART                         Saint-Cyr-l'École\n",
      "ALBERT EINSTEIN                 Sainte-Geneviève-des-Bois\n",
      "JEAN-BAPTISTE COROT             Savigny-sur-Orge\n",
      "MARIE CURIE                     Sceaux\n",
      "JEAN-PIERRE VERNANT             Sèvres\n",
      "CAMILLE CLAUDEL                 Vauréal\n",
      "HOCHE                           Versailles\n",
      "LA BRUYERE                      Versailles\n",
      "NOTRE DAME DE SION              Évry-Courcouronnes\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT L.patronyme, C.nom_standard\n",
    "FROM (((specialites AS S1 JOIN specialites AS S2\n",
    "        ON S1.uai = S2.uai AND S1.rentree = S2.rentree AND S1.niveau = S2.niveau)\n",
    "       JOIN lycees AS L ON S1.uai = L.uai AND S1.rentree = L.rentree)\n",
    "      JOIN communes AS C ON L.code_commune = C.code_insee)\n",
    "WHERE S1.rentree = 2025 AND S1.niveau = 'terminale' AND C.academie_nom = 'Versailles'\n",
    "  AND S1.specialite = 'Numérique et sciences informatiques'\n",
    "  AND S2.specialite = 'Arts plastiques'\n",
    "ORDER BY C.nom_standard\n",
    "\"\"\")\n",
    "# Le « et » se traduit en joignant DEUX FOIS la table d'association : une copie\n",
    "# par spécialité exigée (cf. X 2017, points et ensembles). La jointure de S1\n",
    "# avec S2 est aussi une autojointure : tout de cette partie se retrouve ici."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f733f3b",
   "metadata": {},
   "source": [
    "## 4. Ensembles et antijointure\n",
    "\n",
    "**Question 25** *(`INTERSECT`)*. Les codes INSEE des communes des Yvelines ayant au moins un\n",
    "lycée à la rentrée 2025."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "7bff62b8",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "code_insee\n",
      "----------\n",
      "78005\n",
      "78029\n",
      "78117\n",
      "78124\n",
      "78126\n",
      "78158\n",
      "78172\n",
      "78297\n",
      "78335\n",
      "78354\n",
      "78358\n",
      "78361\n",
      "78372\n",
      "78383\n",
      "78401\n",
      "78423\n",
      "78440\n",
      "78490\n",
      "78498\n",
      "78501\n",
      "78513\n",
      "78517\n",
      "78545\n",
      "78551\n",
      "78586\n",
      "78621\n",
      "78642\n",
      "78646\n",
      "78650\n",
      "78674\n",
      "78683\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT code_insee FROM communes WHERE dep_code = '78'\n",
    "INTERSECT\n",
    "SELECT code_commune FROM lycees WHERE rentree = 2025\n",
    "\"\"\")\n",
    "# Les deux requêtes renvoient une colonne de MÊME TYPE (un code de commune)\n",
    "# mais de noms différents : c'est la position qui compte, pas le nom.\n",
    "# Variante : jointure + SELECT DISTINCT."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b193d827",
   "metadata": {},
   "source": [
    "**Question 26** *(`EXCEPT` et antijointure)*.\n",
    "\n",
    "1. Combien de communes de plus de 10 000 habitants n'ont aucun lycée à la rentrée 2025 ?\n",
    "2. Donner le nom, le département et la population des dix plus peuplées d'entre elles."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "1beb7b84",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nb_communes\n",
      "-----------\n",
      "        334\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT COUNT(*) AS nb_communes\n",
    "FROM (SELECT code_insee FROM communes WHERE population > 10000\n",
    "      EXCEPT\n",
    "      SELECT code_commune FROM lycees WHERE rentree = 2025)\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "5abb4815",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nom_standard            dep_nom          population\n",
      "---------------------------------------------------\n",
      "Villenave-d'Ornon       Gironde               42545\n",
      "Le Cannet               Alpes-Maritimes       41938\n",
      "Six-Fours-les-Plages    Var                   37109\n",
      "Châtillon               Hauts-de-Seine        36705\n",
      "Schiltigheim            Bas-Rhin              34708\n",
      "Houilles                Yvelines              33983\n",
      "Villiers-sur-Marne      Val-de-Marne          33162\n",
      "Saint-Médard-en-Jalles  Gironde               32910\n",
      "Saint-Laurent-du-Var    Alpes-Maritimes       32172\n",
      "Koungou                 Mayotte               32156\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT C.nom_standard, C.dep_nom, C.population\n",
    "FROM (communes AS C\n",
    "      JOIN (SELECT code_insee FROM communes WHERE population > 10000\n",
    "            EXCEPT\n",
    "            SELECT code_commune FROM lycees WHERE rentree = 2025) AS S\n",
    "      ON C.code_insee = S.code_insee)\n",
    "ORDER BY C.population DESC\n",
    "LIMIT 10\n",
    "\"\"\")\n",
    "# EXCEPT ne renvoie que la colonne comparée : pour retrouver nom et population,\n",
    "# on REJOINT le résultat à communes. C'est l'antijointure du programme\n",
    "# (NOT IN est hors programme)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d62f86ea",
   "metadata": {},
   "source": [
    "**Question 27** *(distance)*. La commune des Yvelines, autre que Versailles, dont le centre est\n",
    "le plus proche de celui de Versailles (au sens de la distance euclidienne sur les coordonnées\n",
    "`latitude_centre`, `longitude_centre`)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "536eb612",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nom_standard\n",
      "-----------------------\n",
      "Le Chesnay-Rocquencourt\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT nom_standard\n",
    "FROM communes\n",
    "WHERE dep_code = '78' AND nom_standard <> 'Versailles'\n",
    "ORDER BY\n",
    "    (latitude_centre - (SELECT latitude_centre FROM communes\n",
    "                        WHERE nom_standard = 'Versailles'))\n",
    "  * (latitude_centre - (SELECT latitude_centre FROM communes\n",
    "                        WHERE nom_standard = 'Versailles'))\n",
    "  + (longitude_centre - (SELECT longitude_centre FROM communes\n",
    "                         WHERE nom_standard = 'Versailles'))\n",
    "  * (longitude_centre - (SELECT longitude_centre FROM communes\n",
    "                         WHERE nom_standard = 'Versailles'))\n",
    "LIMIT 1\n",
    "\"\"\")\n",
    "# Minimiser la distance = minimiser son carré : inutile de calculer une racine\n",
    "# (et l'écart longitude/latitude n'est qu'approximativement euclidien)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "88ae4dff",
   "metadata": {},
   "source": [
    "## 5. Synthèse et compléments\n",
    "\n",
    "**Question 28** *(la requête complète)*. Pour chaque académie, le nombre de lycées publics de la\n",
    "rentrée 2025 situés dans une commune de moins de 20 000 habitants ; ne garder que les académies\n",
    "en comptant au moins vingt, par nombre décroissant de lycées."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "8bd7d6d8",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "academie_nom      nb_lycees\n",
      "---------------------------\n",
      "Normandie                52\n",
      "Toulouse                 46\n",
      "Grenoble                 45\n",
      "Bordeaux                 36\n",
      "Nancy-Metz               34\n",
      "Lille                    33\n",
      "Versailles               32\n",
      "Rennes                   31\n",
      "Nantes                   31\n",
      "Créteil                  31\n",
      "Montpellier              27\n",
      "Strasbourg               25\n",
      "Lyon                     25\n",
      "Clermont-Ferrand         22\n",
      "Orléans-Tours            21\n",
      "Dijon                    21\n",
      "Poitiers                 20\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT K.academie_nom, COUNT(*) AS nb_lycees                     -- 4. projection\n",
    "FROM (lycees AS L JOIN communes AS K\n",
    "      ON L.code_commune = K.code_insee)                          -- 1. jointure\n",
    "WHERE L.rentree = 2025 AND L.secteur = 'PUBLIC'\n",
    "  AND K.population < 20000                                       -- 2. lignes\n",
    "GROUP BY K.academie_nom                                          -- 3. groupes\n",
    "HAVING COUNT(*) >= 20                                            -- 3'. filtre des groupes\n",
    "ORDER BY nb_lycees DESC                                          -- 5. tri\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5db5077a",
   "metadata": {},
   "source": [
    "**Question 29** *(bonus, une table pour finir)*. Pour chaque rentrée, le nombre total d'étudiants\n",
    "en CPGE et la proportion de filles. Attention à la division…"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "048fdf0a",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rentree  total          part_filles\n",
      "-----------------------------------\n",
      "   2009  81135   0.4268441486411536\n",
      "   2010  79874  0.41943561108746275\n",
      "   2011  80411  0.41892278419619206\n",
      "   2012  82221   0.4206711180841877\n",
      "   2013  83520   0.4202586206896552\n",
      "   2014  84151  0.41850958396216326\n",
      "   2015  85938   0.4207568246875655\n",
      "   2016  86473  0.42575139060747286\n",
      "   2017  86478  0.42793542866393763\n",
      "   2018  85121  0.42555891025716336\n",
      "   2019  85070   0.4224520982720113\n",
      "   2020  84903  0.41852466932852783\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT rentree,\n",
    "       SUM(garcons_public + filles_public + garcons_prive + filles_prive) AS total,\n",
    "       1.0 * SUM(filles_public + filles_prive)\n",
    "           / SUM(garcons_public + filles_public + garcons_prive + filles_prive)\n",
    "       AS part_filles\n",
    "FROM cpge\n",
    "GROUP BY rentree\n",
    "ORDER BY rentree\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07aa9648",
   "metadata": {},
   "source": [
    "**Question 30** *(bonus, retour sur la question 15)*. Plusieurs communes peuvent porter\n",
    "le même nom. On s'intéresse ici aux couples de communes homonymes.\n",
    "\n",
    "1. Combien y a-t-il de couples de communes distinctes portant le même nom ?\n",
    "2. En donner les vingt premiers par ordre alphabétique (nom, et les deux départements)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "758d097a",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nb_couples\n",
      "----------\n",
      "      3893\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT COUNT(*) AS nb_couples\n",
    "FROM (communes AS C1 JOIN communes AS C2 ON C1.nom_standard = C2.nom_standard)\n",
    "WHERE C1.code_insee < C2.code_insee\n",
    "\"\"\")\n",
    "# 3 893 couples pour 1 446 noms : certains noms sont portés par plus de deux\n",
    "# communes, et n communes homonymes fournissent n(n-1)/2 couples."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "9df6f715",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nom_standard  departement_1            departement_2\n",
      "------------------------------------------------------\n",
      "Abancourt     Nord                     Oise\n",
      "Aboncourt     Meurthe-et-Moselle       Moselle\n",
      "Abzac         Charente                 Gironde\n",
      "Achères       Cher                     Yvelines\n",
      "Aiglun        Alpes-de-Haute-Provence  Alpes-Maritimes\n",
      "Aigremont     Gard                     Haute-Marne\n",
      "Aigremont     Gard                     Yvelines\n",
      "Aigremont     Gard                     Yonne\n",
      "Aigremont     Haute-Marne              Yvelines\n",
      "Aigremont     Haute-Marne              Yonne\n",
      "Aigremont     Yvelines                 Yonne\n",
      "Aigueperse    Puy-de-Dôme              Rhône\n",
      "Aigues-Vives  Ariège                   Aude\n",
      "Aigues-Vives  Ariège                   Gard\n",
      "Aigues-Vives  Ariège                   Hérault\n",
      "Aigues-Vives  Aude                     Gard\n",
      "Aigues-Vives  Aude                     Hérault\n",
      "Aigues-Vives  Gard                     Hérault\n",
      "Ainvelle      Haute-Saône              Vosges\n",
      "Alaincourt    Aisne                    Haute-Saône\n"
     ]
    }
   ],
   "source": [
    "db.requete(\"\"\"\n",
    "SELECT C1.nom_standard, C1.dep_nom AS departement_1, C2.dep_nom AS departement_2\n",
    "FROM (communes AS C1 JOIN communes AS C2 ON C1.nom_standard = C2.nom_standard)\n",
    "WHERE C1.code_insee < C2.code_insee\n",
    "ORDER BY C1.nom_standard\n",
    "LIMIT 20\n",
    "\"\"\")\n",
    "# L'autojointure de la question 19 au service de la question 15.\n",
    "# On compare les CLÉS PRIMAIRES et non les dep_code : avec la condition\n",
    "# C1.dep_code < C2.dep_code, deux homonymes d'un MÊME département\n",
    "# s'échapperaient (il n'y en a aucun ici, mais la requête serait fausse)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "utilisation-donnees",
   "metadata": {},
   "source": [
    "## 6. Utilisation des données *(bonus)*\n",
    "\n",
    "Cette partie ne sera pas traitée en TP. Elle montre ce que l'on fait des résultats d'une\n",
    "requête une fois revenu dans Python : le SQL fait le calcul, matplotlib le donne à voir."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94519995",
   "metadata": {},
   "source": [
    "### Importation de matplotlib et de la fonction $\\log_{10}$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "f65ba802",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from math import log10"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ca71fee",
   "metadata": {},
   "source": [
    "On écrit les requêtes en langage SQL comme précédemment, mais on utilise la fonction\n",
    "`db.liste` pour récupérer la liste des données demandées (sans le schéma de la table)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2838c13a",
   "metadata": {},
   "source": [
    "### Création d'une carte"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e718e56e",
   "metadata": {},
   "source": [
    "**Question 31** *(du SQL au graphique)*\n",
    "\n",
    "1. Récupérer dans une liste nommée `V` la longitude et la latitude du centre de chaque commune\n",
    "de France métropolitaine, ainsi que sa densité (hab/km²).\n",
    "2. Stocker dans `x` la liste des longitudes, dans `y` celle des latitudes et dans `L_d` les\n",
    "images des densités par $t \\mapsto \\log_{10}(t+1)$.\n",
    "3. À l'aide d'une requête SQL, récupérer dans `D` la densité maximale des communes de France\n",
    "métropolitaine."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "ba0771e7",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [],
   "source": [
    "V=db.liste(\"\"\"\n",
    "SELECT longitude_centre, latitude_centre, population/superficie_km2 FROM communes\n",
    "WHERE dep_code<'96'\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "c26819a3",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [],
   "source": [
    "x = [t[0] for t in V]\n",
    "y = [t[1] for t in V]\n",
    "L_d = [log10(t[2]+1) for t in V]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "fdeec849",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "28137.19008264463\n"
     ]
    }
   ],
   "source": [
    "D=db.liste(\"\"\"\n",
    "SELECT MAX(population/superficie_km2) FROM communes\n",
    "WHERE dep_code<'96'\n",
    "\"\"\")[0][0]\n",
    "\n",
    "print(D)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ab2674b",
   "metadata": {},
   "source": [
    "Une fois `x`, `y`, `L_d` et `D` calculés, exécuter la cellule suivante pour tracer la carte."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "03663a5e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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zYNfcpEF/MGkQ2JPDzjRCocsuu0x+Exh43XXXyd/z8/MyZug/d6ZZEAgEds6a6Qsjet0QrKclfSRiMOzreR7MyooGBvEYzI4J2IPTbm5QaoZAn2YOJpGAfegIbLMFPFiAd0UeoM5Aq61shL4Dl5a+gTVGQIXy2du1+pB/9Si8vjC8ZEjwCfGtCSEcai43N8iNQNphBya0JeUfqB2vYeYOZRvcOpVE9PykTCRg+Q7Y6z8Kw7ubmMPn/CGQGoY9/FXgW+/Tz3jJn8CbPL19ycACe7zsTJIS3rt3r4D//s//+T/yOxqNyjghJwde8pKX4Ey0IBAI7Ny2dAKGGTsnARgQzM92nxsYVKffbMJkE9oCYCvAd86+5TMwzQbsZXTsLUX3e2HAFQ/sWlliCCRCQLGD5nQVkatzG0qDFBoSp32oJP+O7U4gNhFD4ZtrCF+TQ/O+omghgOOIxCQ6ToF4NIRIzKBZtzDpEAzbEO02QvO3S4tDgo5YCPYbvyX0xu2lOkJp17f8wlvQ3vtLCF3zQ0/YoQ4ssCeDffCDH8Rf/MVfoFLRqSMSC8Xjcfz6r/86fuRHFJvz4Q9/GC9/+cvF+RMbEIlEcP3118uY4JloQSAQ2LlriTjMpfvkT3v3/cre12scGwyHZTQQg3nN8tfXVH+gVFSMgPFgGi1gclKCAUyzcnCyqcdnRYAshjYRwvonFhDZFkc0FUI4G5FMXkYEWZkodiSIyLx0CKDuwbUDaK400OLkAEmLXCBAG7kyIRMKkQszwGodSJEciboGTRl/tGx7tFpoHiuj9NlF5H7CtQQ6Hdi//k20rYF30YVAKAGT7KKcAwvsbLEnujXw/Oc/HxdccMEjHt+6devG31u2bBECoUOHDqFer2PPnj2PAA+eSRYEAoGdu9bpEfEheVAmB9tpw0QjQLGoOAAanT5L+eQSkJaABaJRbScwKMj362864LExDRZapBRuqmohP4MERc5i1w2h+ZkFpF86vvGYPVyC4ZjhXFWFiejQK9QtoBSyh8hIHOGXxmFJXdy0WnWIeEgSkFhtyeY/cv8s2tMleMkwwkMxxDNhND+/ICBGQ1BhOAR717thS/0ijWyvekcQDAR21tkTHQiMjo5uGg38drZjxw6cDRYEAoGdu+b1jAcR7X9wBhhKAxuRuwXW1zUI4GP0tg0XPDAI8EeBIhHYhTkYuGkC9uXJNsg/WAqsFTd/r7WIX5Xd/NhYXD/zopwIG4lRtIgVhHpbwIcMJejA9Q+2H5zYkXymAYbisIs1N7HAEYYOPFFNdBiFpMe+grAiMhjwXjQJrBeA6SXYqcEzqs8aWGCBPXEWBAKBnZNmC8eB9WOw9inATR8E6DjTcc2M55aVUCgSgulPKYVwnBiBtnP0RisAiQSQH9F/F/bDEszH9+3aol9SLsHUG7B9SWDejR/S2ZN2IB8VOmP5PPb2nWaRGMGE8TDQHwMqTZiFJpDheCIdeQioNvV9JCXidnN0ke8hlpDbws+64mrYm25V2uMiQYdA+LoRhHf0y4giEkmpeFivCSyWgEveElQDAjsr7UybGjgbLQgEAjs3g4B/fQOQjups/hFSi3rAFROwbTf6R2dJR00SIQIGWRHgD3EAbBmMjOmHdVoCDDSpGDCchz1+Qh52OEAlF0onYAk0ZNWBFlP2QT/zt1QwYt8/ZORxvmejlbBUV44DL9p9bLXpgIhkFoyo86dwEgODVBhm93kw42PAKGcgw/o9BCWm+NqTDgZxD89+C7yRx0ZvaheUKc0Mu+AnsMCeYPMLZI/5/fbx3Jqz04JAILBzz6qLCqSjE2QgIAP4HYcJeJRVga/rNVYDem3+uJAO6XMWOHocSBJ8F9NsvVrThYrZvOnRMKCRWVDaDKxAhIFmW3kN4B6j8BALB6UmDKsCviaCYxkUUOB4Sj+z1dLXmAmgPKAESVIK8ByewQJrFVjKH8eoj2Dlc0z8sTGodQ7fAvsXvyx/m1/4c3i7rnpMnxNYYIGdXgsCgcDOObNz9+msP22pBhCkl43BJPUx2+7TeiHFhFZr6kDXazCDaYBAwkoZOHpQpwZCEaBZV/wA8QQss2cSwPhoN2hINoDCujpjn6aYzjnWUafOqQTJ9o0EAYYVAPbyQx46xAlkQzATKTfuGAHIL+Abnf2K0zlnoEE78EXYUkpaABLW9BHYSPVDJ6/Mvyd0fNHkh4CVf4NNj8Ckdn93x291GnblfuDmdwF7lQvBfvLXYH/6/wZERYE94eYZKz+P+f04qTV3DloQCAR2zpidOYLOfV8C7nw/zM4MQCpfltPZX6+2hB5YKH7LZV0XmH2zv+5bNK6kQqEQbKkOhKgpUFNBItuBLeqcP3v+dn1dq/CcNJhf0IAgl9VWQiqt1Yd4A6jUtBrB7XNCR8J26My7bgqd+xbcDrjVajSmWghkOmQAIcEEMQlNZTFsWRE/otOXFgSxDTSX+Zt8qLvu8ftjKWDhH2EnfwEmkv/OQcDfvkbaGNiS0e+n+fwEgQX2BJuvv/WY349HLwSeSxYEAoGdM0FA+7+9CJiIw5uMATNlfYKOrMlxQANQzIeAPHkDQXwOzMeVIpeCZQ8fIREcYgm+87VjwJYkzEhGyIbE6Q4lhWJ4w2mvLGvG3++mBAjS81sLUWoIJIG1VQUOMjBhFk8FQ2EgUjPbskCxCpSd1oCoELoggCsguQYGUrrtrDT4OkR8PsTKQljaBt2WhAUOLQIDMdhmA6a4AmzZDdSXgO8UCFRmNQgYiAHlBjA1qC2NqR8OqgGBBXaWWhAIBHZOWOeO6/UP33mebHSmDQoMAZZ3Rcll0f5rK3XA95HlijpzqepzVE95/rGyqi/vj8GQsIfBAR9nmb/BzJsVBWfVqlYF+FPTkUQzMaTARNryooIV+Tx/31cAprQML7belGBAAI/8krAHI1gAN+roG7ELDDgIQRTaY8ogO+pjh30QiERxHQhT1OA7WMtNP+gWK+cC92/qmd/5vYEF9n0w11Q7pfef6xYEAoE96c3O3g5T/KIk5iLfe1FGWwJFB7QbiCvLIF9cqkjWb7cOq1NdWlJXeawMFE7A7h5yY4SA2U3OAekwqjdda8AmnUxxLAqz2OM0CT/gKOFKSacSBvuUtZAaBQQM8jUrq8CYwxYYD7begKkxOOFYogWmq8A+tjRaOiUgG+E+n1k5OurUY1HYtSoQDwmb4UZgUG8CD6zq36mwaCyYegG46r8C254OEx/5jsdScAfPuVqwDmb6CJAfBbb/DEwiYCUM7HS2Bh57bd88rltzdloQCAT2pDVLBT4R6TkB0x+F97odsIU60BcBVtjP92CGk5uXgnAEdmRI/jQE+MVjsMyg+928P3vqftmfo4HtDixJeZar6tRNVDNzn5XQfyWnAdZqQLkOOzUEE3cAPhIOrRacM6cYEQGELdhGHYbqhMm0kv5cMaREQXEDm+Jr2sIxIFUBYhSOLsPye6cGYW0LJhmBdQGLXS+5loFWDywDkQcKwO4+IO7BDFz0bYMA/zjKivuVP9XWAD+PeAc+FtfjFVhgZy1G4By3IBAI7Kw3W5iR35TbbR46DMzeg5C3BNz/j/qC696kz/dHAWb67Jf314HbnIOjtyRLINsGmRRMrarZOp10JgJDOuFtBBQSQxAFjh7VKgArDPmkzv7nE7DH1uHRKfPzTyzAEnvAicGo0YyFdMB0/tm0fi0nDQg8TGaB1RUYxiTkKeglLqJRwKhVA4bTEpSYeh2W0w4MaLwQzFAONsPKQgcmEdXy/+iAVh5WCzAZAghJd9yGvWAIptiAHU/DsMfPQKE8ra2G2orud3or0Czqe6pl2C/9jrYnnvY/9PdKVY9aPg4z+VOyzbZ5AibVpUwOLLDAzh4LAoHAzlqzlTnYo1+FueVvxcG2dvwkSu/6Y2SuYqYbUmY+2vy9iphP9YlztAQCkADoohHYJc7Td2DoyA1Beo9ixYI65nSfaAxYiovsPwKs1dFZJ8GQS0luXQN+KCXc/wLo43vorHuFAEgm5P9dKsKu1mCvP6Q9/J+8SFnOWE0otoHRbBdHkI7AhB0KMB8DVh05kfswEwt3JxsiVEwksNACA/26fQxmSkUYMhZyRLFQVSxEJAKz8jHgWKkbeAyOAQQQyqgjYCbzQKkAPPBu2N5Cx2W/oEDIr/2y7Kt95ruDYCCwJ9yCisCpWxAIBHbGmy2fgF2cgfHSsMUjgF0G2hVg+StAo6FZNsn4DnwQmadndbTOcfOLLXwRNhyCyWSBWASm3/X/48uw2yaAAh3yMrBeESIgcWqlMkwmo6/zWwH8TdrglRUZl7P3N2E4m0+fPlNHstZG+1Mz8AbUYdvtSS2hC+0vAXoeUG8Bx+aAPgL/iDZsA5MJmVDg2CJSWa0ojOdgwzEYCh7x3yfzoG4d0FYCnX61pMeA1YGkDwYkDTIrHQ0BIOoeeMBqFYaVAcYunCIQgKGORGLYtQfccMImYxBCnQViGzg6SbKjO/4GdngAhiOS3PaWVgoCC+ys4xE4xy0IBAI7Y80e/jyw+iDsgc/A3jALy5G5S3uQ7f1RmPyAOHk0HEK/RrS+hRmhNkAHWKwDA8nuGJ3c821gwbUF2HfvS8EuL0nf3R5f1jG7kSxstSKtAJ3F7zgBIjL7NbtkPuQgYKI/EcX6N9eAEzX0X5vToGE/RxTLsNcOCZYAIhhEkp+OqgfCE1li85yuNLC0KChXLB8aARbqgvpv7l8EIhVEBqJAfxzIZsWhyw7544hrbSDFFoeLGmYXdDvGhoFCRVsbDA6IjcglgWRK38ttY8XAN04uREZgHz4AjA7rNpdbMKvrwFAY2J6DPU5cRBlmpQx73rhub7hnqiGwwAI7aywIBAI743QA7Mw9wPJ9MAtfkseMZ2FzZPQ7merXChJfKHmZaRNAx5I8jex+zHQbVeCBFeA8f/avJ/oPh2E41scqeywKRNgzd6N1NI+OmrLDTPlLQDyuTrOmTH7toThCCUXkezNl9L9yDMUvL8PsSsNS9e9QWZy/Icc/bbUO5BKK8Cf+gE6YwYZvFDcirwADDZlCWAVSUWCphOUPzUjQkv+JSUQmhmCm57vvIyPi0CBMLgQcngYSqnsgQcBgv8oh3zGrYkU/sFMmDoQ/QCYNOEHgpJV9a9aV3GhgALj7AX3sWB12hKyHrE4Y4M5VYLcbmzywADz/zfACjEBgp8GC8cFTtyAQCOyMsc70LcCn/rf2v8eTQDaqzr7agrmAGXoLlqV90uy2mjAE460UgBQzUTL9eUJ0Y+ib553070729UPapl+cB5jM7xsCBpglr2x8t2T9uTQsnT3L6izV9zlQn7zA+cpwGJbZs7UIxdm/16dDOd3WzPOH9PvowHcSTW9hTEtL9yzDlygtrMVII1iAmqgeoi8D1KsCzsPwOBBLAMcPO5Ejg+i2JPI/tVW/rLCmv1kJoVPuS8GQsKhYUgpkBkQkINp9HrA23yVF4n71ZQHThElntB3AwEmEk4y0WcQi1B+IwvJx/ubnjXgwfO1xNxJZagF3uL9Zpbnr3bDZUSDeD4RiMLHh7/v1Elhg/r15KlMDgQWBQGBngHUevgkoLsJ+8Y9gmJGz5C6COZvNjFEDQIlzbIOMgA7MZluwDA4oIETRHWbjDugmz3OVYBm8VJFs3h56GKY3BGbGzO/NZJQIqFqBYcbeOwLIvjoDj2PzwEi6WzVoEBjoa6H25CZsOZDsR3YwAhTKMONd1j7LMcT1oo74hULyvRtYBOIeYgkY92+OEeZfM9HdFn5XJqYZ+8b2ORzB1Gi3utAsS4XBVKuwzzxPGRHTMSCa0+kH2uIJrXToVnU/jwJGzRqwe4vGQPcf0faCT3jIIIhcDDxP7M8yiHjwnXoMyGOw85dhMvu+uwsgsMACO60WVAQCOy1ml47BlueB+YeAD/+ZPjgadUQ5ZNarwTJ77nNVgYEkDDNgsZNUAumLUlHYgSxMtQLbagB+OZ4KgHSyS6uSQVu2ESoFcfobxr/rNe2T0wFyjp9gQzpiOtH1VQXszVSAPeNAs6rOcTitNLsyTuckgfuJTWhvDiIYvJy0/4ZAvygfp0NtKJBwraRPEux4w4OwYyF4nDrg/m8cOKuBR9znEXZG8SPUNr+OARC3I5fTiQORVa5p4ENQIisCwjrIaQM3Yri6BBDseLLC4ng/ELF6Xtw2mAtcS4HO/0QZtnJUqjJmcgj27j8Cdv00kN0dkA0F9n21YGrg1C0IBJ6ERgIYOlnD+XQBcKkbMukzY87bHr0F9h9+1YHyurS7UvL3e/zMNGUET+lzpQzuv79Qdsx7SmgjI3HM6Es1FQ6iBhAdaDwGI9K/6pQty+X8GL6Wjk7G8vrUabIUTweZSMD252HKBc2y40T0Oxj91n4Ykg3xdSXO52eAIcCONoCj89LPNxzbI1kQAXZ8HbPodlsIfji+5/ZURYqqbcUPcFt4LLJp2Td7Yg1ItWAaBOk1Ff8wmFGHS+ZDrnzhlm47D9Damqob0lpNaV2IVoEJwbIKkB0DFo7oMWBAkNWyvSmvAnOzwNRW/WxKJg+PAQyk+P54CqgrhsH09YkWgx8gWanYWJhRVUW0KzV0CgpU9CaodFiDve+v9dhP/DCQ2w30jcIkvjN7YWCBfS9Gjo5TYxa05/wBDwKBs404p1UBwkkhz3k06+z/DPD1dwCdNmwqLA7URD1YKuLt/kV4l7wYp3sf7Jd/HRhNaGLfmyqHnPOnkxlTByMsfdKzbyrrnzD0ubJ/yL2/0oRlmZr0wSNkAqRTM0qHG4pR1k+dPR0qWwqcmPPK2lck/79PwUugHgGEIlFMBH4K8CIwwztg2X9fUWcqDpMTCG4BkX763i1SgheaYHnQNS7ZrhAGQTcV4D8nUxEl4OIxmE4N9viKbLNoHpBWmI6ZKoSpOHCsAFtRNkG2CQRfwCCA2T2zfG4/qZCFATG7AWeQiQenJyDfx/8cXAQu00kAeWTHTjfe6Pc3XJuhUtEqAwMHYgVYOdi2Heb+B3V/nr8VmHVYBRrhEtQckGtwHt7WHLBU1CrM7N/qdmwdgd3+CqB/D0z2/Mf/4gossMAekwWBwNkUBPzbT3f//dK/UyfQrKDDsnd6FKb8AMyd74KNGRiRvHVZr2RxbXS+9cfoxPLwzrv69O1I0wn2yNy7c/L70rANq06fJXOSAfnoH5bFZdSOQj11tI+WZIZdwHmHy6IcaPeStz+kkwFrZTfv34I1dWCx1FXdY3Vg9zblyV9Zgm205TMNZYB7mfxYqk8mYctVmOUZ2OiCEgH1lvsrnPnvA0JxWE4mMHihQ+bnEDcwkHMO2ZERPYqZpww7bEFC38MCSKkJZOIwIQUXmkYTdjCG1qePAtUOIq+Z0v1h/56UxaxY8Drwv4NtiWYThqBATiTw8eKSBjlkTNzSD9TITdCQYFECIcfDgA6RlGQjXAZiSWDIjTUefdBhKLIqcsRtHxwEQh2g4NoR+SRQVLCh4fkr1WF26/stA5a5VT2+K5+XH7vjF4NgILDHxRgz+2rYj+n9CCwIBM5Ss+uzwPX/U/7mPVD+0iqSzxmEGYp1e8P9nLnvcUKFBlCliM7pM7tMFj1HsCMPWFhS4K47B05nTU7/RUdj68R1WFpvHSlj9X3H5PH+Hx9DmOA930jsQ0ecSwFkC5T5egYRfpbL7wtJ/5+oe8uMfrksc/FWuAQcTmBpwWX7rsxebQCHV3STdwzAzB7XNgLBeDJ6WFCHTwdM0B0z+h71P3tPQWWBr1WAoaxXFB/yzxG3k/LHogzYgTee0zcyWGq0YNlqKDcRfmYerX+fR/Oj04i8bFyZEml8ft5NP1BfgK0StiTWWWFwr6GFlNGQREKS/XMagfvJfXbnQSsvrg3C4IavIahwIK9qiBxn7LWsYz5k4MQ2QnFZHjbbRpQDQb43pJ8xOrAZ2r12L2ws/10JHQUW2LezACNw6hYEAmeJsRUgVYDiUb3y5+4Hko4gx1pE9iVhxkmT6+4MqQTQ+bnMmzZfBciqdzpteUYdNJX/yjVgPAHDKgEr02wLRF126mMFaCzxN9volLuUd7bcBi4gCx/JcDzYahMeqwF8zmMQQGfWhhlRUKBdLysBz/QsrC/du/FhVnvsotQXVllgkuqwLE5CnXkXpHDUj1n0uuv187i6EUMjGgEt5SPodXj0r8+a0odWSxoAcbxQPq+sLRs+xt3lflAhkOBCBhTluhIkufG/8OUZYDgJw5YPqxHcxrm57leRZ6EHA6mjh8QeDGvQEorD1EpAiQHQmL6GwEmf9fA/M595kD90+FkqIDoWwe27ZFxQKhokY+J2p1J6eBlwZPNapVjTANSSmZHf1boBmPsc7O5fFdGjwAJ7rMZm2an0+U2AEQgCgbPKQgb25t9X50flOdbDpPdtEZ0g2Q170RFdaPnDmXRaIgV75zTMegum7zTLxU4f1YCEjHy9Gb1v7S5jnzAEOsIerDfgORY/mpfwYFkFOFQCpuJODU+rDLbYEqGfjayURoeaCsksvMnp2J1N54D5VZgRgu5c8STbL0A9gt3M4iqwbQvsZbuAhQWg2daxPrYFaPy+taIGFdGQABWRSisngZAPtYGnT54UdLgAQgCKxHCw+lHeGMuzBP5xX1gJEWxBCCacAmbWgFy8q5/gywtzssL/6K/NA5M1mOft1oCGY3ylkpImHbynu81sEzBo8Y3XSkIxGQIOTKX1u08cogICTH9OqwI0VgzKVWDyPCdSROrhKkynBctKAEchx/foa4/eJ1wNEvRQzIjfTbpjtmZYtSiXgFvfBnvxr8OMXraxOZ39N+o53ns1Wrd8Xf4OX/n07/oSCyywwL43CyoCZ5HZA191fX8Znj/pSS39i/wsM+cQCXG0n2vp0AajwMveDjO45fRsPH3xZz8O+5lPIpqPwOQjALP6A2UgR8W7SE8J38Au1YEjVeC6Ed3fZAihwQhyv6AI91DcAQsZHMw3gOGeMvj+Iuz5fZsPEZ0Rlf5EXdDxDxAMuGNMHRKN/yZrINsVVPljSTszCDNIwGFTVfaOrcCO9SsrHwMCAdpZ2EpDAxxTgu2LAeMhoC8GQ5KgIisF3UBFyX1cMEBgYE9AJIqBWzStF/pejjQyy6aq4A6C/BQEKN87PaMYvyUqC7aArSl4F/YDRxx98s5tyohYfnjzieBrVxf072gCSGfdBcQqRRE2RWQjKxgrGrTQifsmLQV667YGBdwlLwrkx+ANKuGRwBXaTSDrAixWDxwmRPgSCLYU8Kd+rv3sm2Gf9wcy5WLv/BzsPf8km1L7wpVo/MMnhI458dY/QPj5P3qKV2BgT0YLWgOnbkEgcJaYXZ4GPvfXwA6XuckIGZ2Ao9gVhHobnZkycMeKMMyZHztPX8oMj2h240bMToM1Dh7GsZ96kzihqRfn4C3UEBmIadlf68gbJEKGin7ECZTbsF+cFzChGVLGv1DKU5Agnc2OHua/SgsWNbT2l7pxUrkJ21lXER0GDeyfSybsyHToyOhoicDnuJ/wDZCf30n/Mis/8iCw7byN0rlIGdO50jgmmE7D8nPo0N1u2HtWgdtXgEvzMONZYHpJ5I0p3WePl2TkEHVF83dq7c1gJe53zzCFobNktWFLzjGocbIgCnC8MeVK8hMxGBtTAaTVsgIuuT9LizDLrh0x6I5VflQDKwYoNE4bDDcBZv1ynZGEyAkvkdEx6o4LnXiInA5OpbDGVgpxKG56pVUT3IVUo6rrQK3QsxOkgGYViLLJ1G1oq0iRb4kIcOP/py2Qo0UFjfIstW9BMxtCgtMT73sbOv0RIDci45BmZMvmcdnF+4DKCpAYFHZDb+rKU7xiAztbLAgETt2CQOCsMqcox6yZiz0XTkrSku7VPQ2izS/PqeBNL8o91w+0exbf07b9wMwN64gPhTH+g0mYq/Ib/qIzU1S2OvrsmAfLdgezYQrk0DGHm0BR++Zy9xNn4BvbJM0OGnM1mI5BfKwOG6V4j3P6dLw8dr0I/rUVzUw9D3apCPvF4zDPGpSn7LFVYPuA9urlAb9237M7nDqgcW4/GYMdZ5UiDLPV4RKWSVIUBiYH3Gy+O38rdWBOHXHjUBXt2ToSLxyCx0oOA5a7F2Gv3gWzXgeGVAJYMml/xSPFsJM+NkM5WAZ5IjvsbPseYOU4DPEK4wPAiRXRK8DWCaCf/f2KMDJv7JeUFdyu3TcHPDAP85zzYCZHYYn2PzoHDPcD+T6gX4+PEA9lukyJCLMio2hIkxqAjaaB5cPaxjo6o85/u5tCONkG0gKYFMZIn1CK6oZSbPBkjNJkI7Cf+wPgeB3WC8H77X8BGKQs3At8/U+BNCsurD64AGvfjwKZbTAhTnBMwgw/5bu6QgML7Fy0IBA4S8zkp4DXvAP2lrdK5i/OkyQ1e54He/DzWqolOI4LKJ+8ckjHxZgxEtBGB9Kcgy0+CNOnlYIn0qI7t2PiI3+H6Vf8BDrlDupRZqmb2fHMaAY4ykyTLINxeNuzwNZJN97WEUgQ7iT/vitjH64AwyQOorKghhP1Ygf9O8jTXwP6wqpXQONb6Cz5Oj/ykFE/lrojAKcDmAXfMKcBxoUZqV5YZrH33O3AcVbJi/y3x8MwtSpMMi0ZtXxspQJbc68l3XG5opgB39jn7+3rtzqCaRBf7AMkXbUAWQoTtbVNwX/TmfKzWRHga/0WAf/mDwMm6hRwdHD9hH4GcQRTbK94KrHM/SWJUDrdE0DVgeV5xT5ckoO9tzsdYMYHtZQv21UCwu545vI6ZlikMFI/kBnajIWor7spkDCw22kk+FoG3CaOIvL72i2tcvB1DHZcW4TcCQwGDNsdV2TRXmnA42ilxC5tdO7/Iswd74cZSSrdMacvOb7IQCviwd78Ub0/slEhlbJP+UVg6FKYpANJBvaksUCG+NQtCATOJhucVDa7khsBzKSB4i0wQxSSMUqHy2oBM0Vmss0mbDyhaHkCxFZvA9Zuhz3vf5yWYCD17Gdg27/+OTonHoBp12DTBO99a+N5cvPbC8Z0+yWIOUltkMbSvG8EEubisOJFDQ5/ZBnF/Q0kBqOIZUjMQ8fpPkNYeJiRd2BX19RnUaVPvhjAWA7ei/XfnY8eEHQ+CnXg8DqQcbfJal1JmujY2Y5JJzY+VtD+0pLQTFacW19KnR6BcZl+zbhX57UEToKgjkVnxuEVSCZElkU65v44TGlVZ/3IASHbz1YJqzx0/G6f/DiK7QO2CXbs1o2ZP+qCBWovZHv4BdjTt3otrDsyIMEtsLrkNBdoV+3Q3xyR5E/3DOmhrOrIoWGAUC4CDIRIOkRj+0C2LaZjllIJcSaTGPwJ6+NsyXA7uG1sr/g8DNymQQZBFonLdwIHp2W/i99cRd8VWZiwgbn1/YpVONkYzK03gYfdBMlEDDivH+a+90lAY699ZxAMPMksaA2cugWBwNlmiTgwMSjOZFOmSfR2hJmjU+GjUXd+dc3Nt7sFmotwdR42NghbmJWM04TpjJx4TnIHTOr7kzV1bv0Uot/8I/3HVAr2kwvoDEZhLulXgR4i7t1rqRdgKnXgwLTsj2gErFQFuGefmtesfTCuuDsyCxIfQd/V6ODAJwsY2xuSRDaVjSAU4wQB5/7bsMyM2dvnRIEg95NSJTB+tsrPexab+JQbJqE+g4+YTAyIjLA/wsjWDLeBjmeKzlezaDvBSYQKMBBVJkO/5L5Cql6rzpg4ACepHO4PwZvMgBOPKLSAK3YA5VU9vwzklteBfAZmecn17S2MD40gHfJtRwUXYK/ZrhwJvaOLfruA7Q8KGRUKMARMMqv3n2P1IVSFGR3bUDU0/Wm9npLkoWCVY01bCLUqLDP9Bw/rfu3dqudLqk0EToZg27yWiGtIa6WFoMF60YEFOYLIJYcBjvt+qkBS+Ig4FgokyfaynA/YRl0lm3dOIZxbQeoHDQy1HQgyJWgxF4Gdr6DdaMNbbgIEobI6cLKyA7973ck9E0uwNagKBBZYrwWBwFlkJF+x4z8Oe9efaZ982GV7ZIcb265/P3C3Lsy5HDA7r2C4rdsACufAZX3hOOw9bwXufUizpEvOg6GzmJ9VxP62VwHxrcoxEw/BVpa0d29ykoWZgXGY3NT3tO2dB29C+4/fgtBl2S4PAAGAvAKZ5bKXvLICy+yUjn+1ItTIovrXcgv/gQLs8RAwmdBqgG+RkFRAdv/yJPb/1iE0FpqIX5RGfEcCIWIoZIa/CazUAI99dycJvFwgUEAz0THX++YRiIVgKSQ0GAcG/pP5er5fttsqGNDzHWIbdrYMQ+ZDZ3atoW0bbjP387gD6nHXxzKIvHSLbuMD80BpTUWM2DJgZrs9DCwsw7JNsd6E/eYaQj97qduGsGbTCTrACLCmhD4bpEDM/hlA0IHze5sd2DRVDesOoOm4FnjcF5aB886DWZkDpo9rJcEPBOSg+EJPrn0hPAgFYHwbkM4DrTqQcGqIPFfO0Vtpu1QUpEnuAz9QYaCxcf7IbthDv8yggO0Qnw2RWIeIh9BYHDhO+mPiPYBOfxLNT1BXow0zHEW40EZobwomFYK9hsEcYJKeUE1vTGzc/i7Y/D6Y9KNTdAd29lmP5udjfv+5bkEgcLZZ327gREWA7+IgM0mYEZfhECcw5YSFZme1NCy8+CFFhVP0ZvLlgpo3s9PAUAq2E/ELvg5IZ4F7P6il7mNl2O19ypfPlgODj1JD3cFlr4b1JtFZXYK343yELn3afzrtYKfvRvuTv68Swf7jxOhd2NcVFqqxF+563bR2Gx1y63PWnhvoi+ExSycJD9sGpCVmtu8D+gAM7QrDbPOQZNthQacPLKsOSQYV7vP7kpJpWuHGt/IacRZ0TgurbkSTn+uCAG4S+9M7c/r+BWa/J+2oTj3qvP/9JXTm6sBFGX38ds207WX9MM02zEAYNsvsOIrI8y8BFuf02O/IaT/bJ1Saymi7hD2AB2bEAZq1GtrvuxNmOAZzURYYjSnDn39c2c6QoMMDxvS6sCdmgLmSBiHzZdiprIzkyRf1RTVIIJPjnffCXnI+TJhVgp6lIZ5RR0/dhVAZ9vwdEljKMTNtvc6EntgZRzb4eu7D0QdhBih7TL4Bx2JI3QIfa8CDO8h2kAcUFjfaN8Jk6HNgtBtCWSyfFw+hmTOofGEZ7S+tIJEwaDc7aO4vI5QMIbUtiVCWLSe/cpPYqMyIlgNPyMJ9QBAIPGksEB06dQsCgbMRNPiSt8N+/Tf130IeeBKngCi+PQP2+Fdh2Iud1lIudr0WZvyFsMc+6xjnctrL5sJ7/IQy6g0PAgMUupmBudSxEKY7OlbGyUU3OYf9H0P7i0uSjdEFRF77X+Bd9DQgP47Q1DbYmSNo33oDcNPfwmu2Fcv3ggkpw3e+OQePokOsjjcdYx+/k5m9T+6zQj78tmTTzPDEKW9LyYihoPEXG8AY8QFhtA+WUPr6mowW9u9yM/C+0Xkcq8JeNABDJsZkAsYnGlqqbOAQ7GBTsmrLIOHIck//mW0F9tvrCmijcVuyqppoZ0uaLPeW5Iej6OSjsDM16f0T+c7WRfvBAiIELxIEx9expdBswQyNwB48okqENFYO4h7MjknlNWCLJBqGScdgrwkJ14DZmYeRMjzxDaMynmfZIrjhEECa6Us0IxajCBP5//2dWijBZuIaGPDE+FoOvIyK69pGYSWpuKJAQO5gakjL/M0KDOmNK+zzs83RApqOaZGy0sLFLJGMHr0tu3WUkO/dOCfUOIh2g1ef1ZDXIdtYNAavrAaRvIgB4i1Lug8X98O7ZxXtYlNOQ3WthVDUQygRQvqSPqm22ExY9Q5kn0iJ5ItTtVSI6mt/JPTG3sTl3+ZOCyywc8eCQOAsNDN1BfCS9+vCywX7xN8ClVWdCafjZ2ab68CMjcPefwjod1MGN78fNn8VEO7hoZWZ8Dqw4jz8EcrSjrgeckwrAcWayvmC/eW6lsPpYCluVAFiT8uh9YV/QP0j7xcVwMSv/hw6//5ReANkOexB6UvZPQyzx2fyc4RA1AfgYt877kjn1DEwI3GYtiPtYcm5Lw4zmQbyTdi5GpCPw0ZCaM/V4Y30lJtHIuiQaGelCe/5k1K6J0GQtaQrbgEzqxoEOO4CrKwDIwNOmpiKjeThd0ECQW40TmAweKAD5etYiThYAc7X/bFHSzATSbSzEZQ+1qX+je9LikhS5PK87ifZEDndwc9ZprZBSJyvoN4pJFRvADuGNIuu1eWY2X0ORClMkg0dDWzFgVQG6B8DqiVg+l6YHxhRpT85p8vqBNlr77HaoTLinADw7YoBRdhnojCNIlDTUUzsow5Az8ljmT89ouOGrMysLQDzJ4CJqS4Gxckf+yOJqv8wBTQqQMmRGPUGTWwh8FiGUgR0aMDVY3b/InD/EkyyW/UJDUTR//JRmAPdfSgfq0oVRz55oQZsSXXbJzyO82wDGVgBm4aAz/waOtf9PrztV236vsDOPgvAgqduQSBwlprpmwD6JmBLJ7Snyx4rAW19CQfQYj/cA7aPwnBeXmheDbB8FyydBp07CYbGJ9Tx9BoZ5eiwaH5v1Tdm7uy1LzUQ2kVAmJZcw9kIwttZcvfg1b6A0HWakdp8Tp2soOjj0s4Q+l8Zc6SDd58bi8AMDOiMuyDSyWjHbNWR45A/gOx8vjgOs+f+NuyRMlqHFCHeXmqidH8RiX1peIcco5+8twmTjcKWqXxIVLqT4CX6fFyRd5aAw6VlBQRyln1Dq4H0xmUdUWO7pOJ639+YEzXAjd42bUsKdrEOUGiox3hcwhzn5NcSYOjHOyNsFdTBkorJZGEzBmAR5sHjyoK4vA5Dsp1IDEYYFx3Gg/gPnl/h/zddJ802Su/2+NMFPIZ9ESx9ZAa1B8uC95h8aRcTIbP/+VS3vzG11REtuYCRwWW9AEQpy2xUKCg1Aou7gYojqaLzjzu+BCojMliMMrt32xflmF+fBgQEZrZWdXqBlr8YWHvYXQ9u+zlRIBwPK9qWYSDA4OPuNbRCFiFWd3qNl8WkCm5JNYDOn19NASqOfAoB10n9nA/8Kuwv/RPM0Olj2wzs1E0EPE9FfdAGZyEIBM52Y1WgUNYxNq58DATgSrxtVgIoQERQWUtEiuw9fwMccgh3ouXX1jVrysbESVr2Ux1hkT3AETbOkrvPpDE7p0OWD2AvmI7GLd503r2TDLRmQ0U9eKf6melAEpaZdTqpY2/1FmwipjK/Pg8+t2G9JGQyYuLwOCLZUjpiaga4/n+k0kYkVUK71pFggFWEzsEiQn7muVhzLIyV7vax/O2X4vnJiYhgFMxYRhnwuHvhOEw8CiMgSgIcWRFwQROBfOQr6F2BGETcU5BSdXpnAhhisBJBiHwGvTaZlJl/ZrkEAcrJW6sCWf84G+D2ExI02GumYAYy3SyaDtJXDuQbWRmYPahnf2oMtlyGbTRgyHtQKKsb5nkNGwy+ZgJz7z4i562xPYcomfoINIy0lE2Qx2b0aiDqQIe+GBF/2lWAWgoS3F0ME+F54jQCJwI6DvDnxgDvuVnJhnbv08+prQIxAk3JTFhUkCGtVAD2XAfwsyh+xMkDaTU0VARKeAz6gNdcrEHK8UXYw+vwim2pPPWu/bWVFlI8n3wwEwMogcxj88AROc+G17d/LLgfvKwYrFBbgZf1scNozxxHe35eyKxil10OM+L4DwJ7cmMETBAJBIHA2W7JYVhmYyyx9q6MzAaZyZLaln1YN/u9aS6c2fEiEe+O0IUZU4ef1VTHez7BZhb2GEfXOoqU98nohORGv7B8xzpS52dhJlLAXWuKduf7L+hXh8TsUj3S5m3vNGHo2Nm39RkAGQyQu577RJyAM5Prg82wTUEEekcEiRh4mKl+hHfmkVxtoDMcg5cOI0RBovMzqs4o2W4EOOgy1yzBkyrqI1MJPcfClCmEw5n/OCwDHgIyiVvgPrONwB2/JCcTCnZlFjhQgTmfXA51WBIYcTLBVSzE+e/U8rS9uwj7QBneDxFhz7FPji8SBKjywHL86wb4PB06sQOcVohr64I6EYWCMvsNDjvZ37q2Srg9lAZmWT4chiGYj5kwH2/wPOoCJxTB9Hwhg7H/rhwBlvs5vy4YDbszp0EYBZfalHl2ZfXu0e/28fmbAkOcJJnfr85/YKuTTaaDjwHxNHDxM4CaCygYBDQd5TCrVhsfyyx/FqhSkZItJwZaxBkIHZO0lczEkI5JzrINUdZRT7Z8vCYwEkXrSBUrdxbRqVrMv3cag/9lSi5TQ+ZDvXqBlTIw7PaJx3q6DKzxXHXQOfgg0Imh9JoXol1vYemo3kdTz+1H7Df+Gt4F13zb288u36W7kr/k274usMDOZAsCgSdDi+CKXwbufJej3S1pYLBcVZBdgaXRnsyXAKzhhCzIzKgF1CX9f/f8hZcBS0dhp+ec8zbKcMdeLV/OLPZgBYbjfyGD+jQzzxZqpojE1pT2/Ol3ZAafRDdJYNsu/fC1FVjOqh9fUowBK/1c7OmES1UgmVLxHqEYDgHDeYCyuf62EenvCJM2yrzTa7BT/fAu6+/i+5gtct9J/kPz2xw0/0+iLFkJGboK9uDXgDpFhjw9FrWmOn8eu8VlWB4/f+6+AtiMB3PdGOyhNVjiCKxF80QdEbYPfOrnje9xGIm6iu2YdEK/l7TE/A5OckigVga2JIGBBMyAc1qjcYBz83T0Y24ahMbAgIEemQL97JpBAsvybBf4lZWCC6QYHCxVpCpg+h0Yj1/OYIO/SXzE9/Bz+3kU3ffz83gt5Z4NVG7TsjtL/I0l2MoyMOCmVRYP6z4PjAJ9Q8D5V8J4Ydi4oyAucyqio+C/Uh32Mw9LUGne8HoYu9Ldrx5FRJMfAlaWdHpgZEzEnpRsiJsXArKsYoXhmRpS5Gzgbl6Wlg7JJuOxZdDESY9sCnhgSbEfgjkIofKO30TkhT+O9NYoGqUQwEBArpMO2n/5S8B//ytpfZnMmAJ1/cuoxEmMm4CZ6yWAsVt+GBh/Jkyq5zwF9oRZMAJ4ahYEAk8GG76wWzoW0J0FSjVYG5VMSLI91xb3sQKdxSZCQ6FuxshSO0vi1aI6rOGcc6DMvls68y/+zYM9ugwzrg4lPB5Hu1JGPBGCvWcN5gLXV6aqILnjm5rZiZEcplbRNgT7vtRIYDmXVQs6+cUV4E6XEW5LK0CRIDZyHXCEcY2UtB1YThZU2WboYhu80TQs589pCyvAGsl/HFK97S5zBg8yFsj5fzcxuXCTlogLbeCCQcUznGysaJTrOnZ43m6Yu+7TbWQvmgEPKRAO1JB/fl4KIXapBlPkqB+z1oRUBiQwMS1pbdhwBIafSVuvacBCxULuq9/zp/G40XmNnTTzTpwAHRx6WgkkRuJ5ajDTVVzARiySzcCm+2CIK2DZHS4wYdAmHAvULugH4jHYQ0eA4w9oWf05V8HYNuzMvwHRPhgfM+BvW29FldvD72dAw/essOev+A6pMIniIfkKCoAD+dlvfgbmqr0OM9DUsUI3LYBkTttbQgNd04CI2I7deZidbh/W6rBjMeCoVruEM4JcCWt1mLzDH/iYEipxslQgba+NgVm5vhv/8gFEJmKI5sPY8qw+ue4jAxGpOnX+7pf11iKfxuveBpMd1urHN3/LBVyOA+HQ/5Mf+/S/CIKBsw0saB7PrTk7LQgEngRGcpTOea8Hjv2Lsg2yDTCiWZ6MS/FG8XlgWh10VupofnEJoVc5ERgC4Mot2B0Er5WUxMVH8Ie3wbTvADjPTsdKR0XZ4PPU6YbuKyK5lWp1Kvjij2qZi3KadWUSsOvLMJwbX12W7bB0MvzhSGKhoeOA3N5NjsUt4uQtsHXtvwuPvMv7uaizslFrwRTZfgjLWKCW2z3lLJDxOE8WdJMn+M3JMp8ow1YqMNv6YMgayAAo6iiHB7PaR+aEABnx6DjmNDjgeJ7Z021v2JtX0aq0EMlHMXJ5H2yhCbtCp0cgYBTN2TrMrZqVh67KwBxdk6zcZhLo1HU/vNWqIP+FmpjiRxyZZPncVxokMJC9+DZbJh5sqQwjvXorlZROg1MOCXjlguLsTszrOR8dUgrqpYK2DeTrOkDBMeyNZYEwK0cFxYNQUZEOm59dqWgFZL0grRHcervu76WXwEyd7/ZeWwSoqV6A2Noy7PTtMrVi9uzWx9j6kAqJ4kQEi8FgTCSY+T0EF9a7rYcxkiux/VEERsc1m6/VYC4a1Ws9noTdf8idow7MtGt5iVKj6SpRHl7Ta2XCTaj48t1b0vqZVOmcqSExGEFHriUGex1EyKE0EYOdrsKeqAPTNdiBMLwLMzD3vQc26sEwCBVKgo6IJW1QVct3E5MQVAUCO7ssCASeBNY5fivwrb/RDDeT0OyVxiyd2bA/Ui3jajVx2AJUI+MdjeA/EZ8hSK/tFjg63jbs0i0wThFOkitrEXrGoALnTsbYEEV/pAwMRWGGyBXP8ju3oQ0UyE7Iz6RzdhtEh+ln7XS8/pgejdkqHZQvwOMbnSSV9IimJ3HOhiIjH1/RQIXjc7Qk58mVMMmyv+zMztTRvq8E3FZA+NocDAOKpIXdP6MBhIwQxoHhPs1EVxz1biaE9m0PCBcOt4tsdhGC5DgJwNaCNQj9kGbvrbtXQHRBZ805yQNl2AMVqUq0kx7Kt+6Xh9P/dTvCDIrWXRmfmAkGB3R024Y1W5GRwZrSQTMw8Y9ZeVHaGWQytLvzwInlrhgSnR0dOn8fn5dj3k70A9EswsPxDZyBL1ksFifdcl2rEM+8RM9T/DIAd2oQ0azClkn0wxI9gxO2LcKa0XMiY0WDCn62vWs/zCV7NUjwrxNSSDMi+fmrtSW0eAJ2gS0oT8ciSYzEiQOarzsgzp+cB2RnbGjgMZJH55tHhG7ae/Yg4jcsosQxUQZh/NnC1pdrITHIkxHZnmoIbUXHFkm8FCImw1E+63VphQXS7EmhU2whRGIobsospbwNLKtj0tpyKBneN8RXUBq58jXYyhBMdBAIq7RzYN9fC8CCp25BIPBkMC6eMhbHMi9ZB11ZmI6SiTsDhEJDwXNRD14uhuiLk1o+35AvNjAc3eNncXGnfjydtuAIfFOHIVUHzu8zGGArgKx0BMdxYRxyALmWQ3UvLsLsfg1w4Q8A818BVr4iAEK70kvaoz1ZBhz2yinJRAXIJ71ct5DPVoGxhJSvRZeApXWWwbnN3EZfjIcOhO0GOkuO0/nmy/ayO7Avi/ZaE+GdyW7bwlUP3MZ0SZp6yob1pRZstY4jn14nowK2vigLwxFKnoJ71xHuOVZ2uo5wLowQnZII9bBXTc8fAkpteGQ6pM1WYKcUkyBGBUHuR4WOltgBxU5IcCLZMacweoxgRoISGaz4ZXDamtMHcNZaqmH13SrwNPD2pyHM7eDECHd1aFjn93n+silYqkLyb9EXuAOWDp1ZPgMFOv8Nvgf3XZkB4NisXDemzW1s6ghmV2DavZwBVhomn3HBjWNxlCpT3ikpuiCHj/vYDmIceAz4s7ggbJrYOwYsEzfAt1j0XcMKlAa0Jk9HTXIiUhPH9JBQa4GbRB4BykCzNeLvxWBCsBmYL0mFSpw93xQxCF05oLvBAG3jfiOHQkM0KCSgiZChMQtEEzAUW1r7NCzvo9S1QCgNJCe1dVKah+U1y0CDbI2R5PdM1R3YI4239imND5rgqAaBwJPBDJ1iF9WvmOuu+IoshOP9OkfPEjyd5CZxGorhtGHDVRhWFAi48p8mE+C/6/icefWFQKsqpWOhl2VfW6h5e3qx28d0AZ5fgC3XYVIesP/DwOAFwOJXgIRK6BL4h5znEO3UsCfZD/fBwOTSOjEgvW5+fhjYNwyTjKoTqrsAhp+BpGaj/p6TDIcYB4oW0ZFIFVp/s43AbBkJD5Gn9mvVgj5nkcBKrTAIdoHWq1yYjqC+0MBD71Bp33DaIBdpYeUrbeR3aKRVuaeIzJ4u2r5DTMPJt9flOaUbrnaQfnZezlmH2yivdafSz2K5zxQdotOZW5PyP0GfdmZl06kzxC1wH6Wi0xEAoNIHq7aAHD+fvMifIpiegyV2wedpZ4tAMBdGnK1gSo4fAwjg3LYNhn1wOjhhFmQvn/XzHkZCBgIcaxzp58wlzP6D6rxZLZHri60mllFqTgBoHmZxvutUsyNA3s3yr0wDRw/rtTTFNgG/R0owKkVtPQk6vEJD2AU783VELu7TtgBBp3sHNICynmBVqdMglowoCyfbYONZ2P4UcHxNp0fI5Eg8C8dSidfg5cLHiPHwvYQcU3dKj5W1YuVfc4KvIcETW1RJDQKmHwA8rfogngBKFVXJvH9Gx2X99778HfC2Xvmf39uBBfYEWBAIPAnM9I3CFind6lJs9kaZSdPoAFh6phwxGQdLZX2OmWDY9fbJT0/j8zteDsx9Vp0Gsx0iy583BgwPwwymgXU6rq5ojizUW5gRUjAIMCyTkhNgoB827Uqx7D+3nRMgZSwBZdEEsO9nYWol2Af/AbZRFbU9KcfTpBzcVIDbBW8Ajv+rZmqJhNImE21PgBnXZ04b0IF/+ogCEJkAXtCH2N6MLrgyFeH60gtVzcr9uXLadBXmKYmuEM8GR0I3ayx8dlHH6sn5M+6hxU7H8RqO/6nSN68cswjd2UToMwqEG8m00VxowosbRK7JIzQeg2EQ8gNDCLtqgz1UQojbe+McLCcOLhvTaouMg+ooolklTsGic3BRqyQNqiwadfb5uDrxdgeGjox4h30vgF27Wys7/Jz1IuzxJfnO3AsHJTkPkxGSTsmfaKDWAYGCzj3JYVgtaIuFMsE7flRXisI3uudctrFnHHTHTqC8rO2d570SWDvUfS5CMCgliQkSdY554zkdfdx0PTVPahOxkkDSq9UlmGYDlu2HelO0BULn9cn1bj8/L9ME9tI0DEmOHg0BRrxFn9IbeyxKsIXGfWQVpneyhNUEVgwEy+A4J/jDakFD9Q6k6uTIpaTyFO2DXT6h449SdnLjmDQJXDlz+8hNwsffiM6LfgPghAWraNnN0wmBfWcLwIKnbkEg8CQwk98C+8zXA/v/UR/YkCE24iCkjC6KdCT1cRkvhXb4mzPzQljjwVz6ZiBBkNkYcOjDwPqKGxlj5rauYjuNpoC0VJa2DTORV+wBF2eZ0Z4DtowoU6Agy/3ybgK45HeAtf3AwffrY5UTQGIYJt8P28zoKJyPRiefPWfSuZhmtwAzHux6XZ1Gpaffz88/uKilWhmFCwujYKTfAQdFJa/hUPlxYNT1ems9Y5MRg85dK1g/3kLpgTJGJonwN+jEDIrzTUSiBqn+EHIDdQxdnBbfVWp30Kh0UFpsoVgOwePrKxbtqgYnyBDf0JGK+/KX15FAE30vG0d0hKQ6buOHY7AEtvE4cjs/Nw2bj8LsTeuxZODhizDN1WGHozCrTdh+kWzsCgMRELmVs/yAGYoCQ1cAB28VshybSmwUd8IijexAczy+ZP7jeSQWhOeQgEzKDGdjeqx9shVWdBJpYFgBe3IOJBAgPqCkXAIyWcEIrAyUpoHyClDjiN+QBn2STceAvmH9nZkAVqeBvPvMNXIJ8DrieUoAaVauysDAiL6epXVWHSh2RFAo1R0FGOuqNqkQvOeNAlUGAapuaUlWRcwH205sGbmxzQ3GxaGMgCMpsGWSMSEdkuNAUq1+VpYcr8WI6/WnFKch1zoJoFhB4rkcV24GUljznhFcy0IR5vJ+2ALHawsagJ8gyddJXBq8BL/5x8CyUndbgkJ//sNBMPC9rH/B1MApWxAIPFmMzpvAtn72RF05mAuhn1nJDPZJixCNjp6l9dFh7a9/+b/q4/z7sv+pmQoX8dUHgelP6ELJBZgOip/P1/GxsAePI1r8qmKJZYoNhj5s2QlwXrxDh7Cu6HcKDT3wLyqfGw7BTGwFhocUxEb8gJT9XVDDysWenwYevg2tG/4VkatHNEtk+dnfBy74DqhnZytKCUxAIbn7uf3ZPhiH7rbk4V+tKm6iLwxzfj9w3xr6t0flp3nbOizH/JoWyWYHlekmvFwYfcMhNJZraBoPlWIHjWIbrYZBq22cHpFBqWZEz6BOQGbUw+qyQWm+gk6yieLRoxj/hUlEB6Pi/LnwtwkgLLdVlyETBUZZBlctB0G2s0TNvvdEHJZgTM7fs6WxdQzGV/zL5RQ0yRK6b3SaIQ+m3YS9cFKAlAIsJLCxLwk7PKiTJHTUvF5aFYBEenfslyDA3roCazx42RTMYJ86xI0sm9/GPjoDJoJReR10gDyPPyspDIY8vfY4ebFBEsUS/YBWI9JjsKk8UHWaDKJg2FYyIl4vq/MaYJBoCPHud2dzsCdmtU0ko7Au6L22hzKZ37tzXKciOJHAsUVPiaE2XfoMBBOuAsUn2VIiMyOxEAMR4AQDYccJQWfDygNbEwRt5tNaUeDP/BH9iZNielmDk8M12N1V4FN36naSZbLiqgKs5viMmQQssoI3moSd67a4AgvsibQgEHiSmJm8GJaOz+9pcsGhI/aBXSy7syxPy/QpwptGkJYswHGgdLT7gcyaImngoXfrh8n8PVsOOYCy8ywZ8zXMcE4OMNhvZnl3MKeLMbdj5fMbPWPLUvFdB/Tvp+6UbExEc5jhMmsbnwRIPCRAsihw9L2wBB22G4hcNSSPWz8rpW3LC7hxw02NkcK4CqxUNWAZ6wYB8nw0AhtldkcsgMNWcHEe1teYfSm0b9KRQS/iIbEtodTFbG8vtpGf8hBJhHD4GDfFQ6NlEG1ZRD2r1eS4h2NLBvaIQTLiVPgMMPLMPkSKDbRabYRSEbS/siRBgJ6HKMyLtzosgyL6BYfBbeTcO/3wYFIxFgx8qAeRdU6MIEX2yAnkW3jYkfe4IIEOkKVrX1KZQcTICEzZTSlUSlqez/GkMuBrKc3000fV9xYrwL596lxDcSCZh6Hz9xUHZYzOfRdbDENDes7HLwRWXXuAWTqNUwsyebACsM1Ep39wmshSrUogDDO03Z0l5bDotg0Y+Cn4Dzih39uDe5AWViajjnpiEqa4qs8zIBkgENEFMv41224IrmIDLNqXUeBptQZDJkP/kuZxkyCFFbC6sk8KFfMATCyuxErUoGC8wP3y2wU8/p+9t9tyIA7HF07ihAI/X05JT7+ArJeX/HRQDfgejbykQmP+GM2cwnufLBYEAo9lVK9ZgxnYtnEPm343j38arX3rF4D5qqq0ERmdimupksaxKz8gEDR0BBhj+Z7oe87bOyGdW98rM32qNMjMxedn14WLY4CksFV+fHL9Ez29BjM2BptMCkBQTeYMgZVVWZyFeU2Y9cj4R4Deo/RvSZXLzIkMecQq+PU+2T4S6Gy+WclcJwSy3Dby5Ru3wLt9wWifatgfKYqoD3Lar7UyDlhxY262C3ibTCjgkjfFXs71K4kMF+vYfB31TBjzt5bRbhkcu78ph6Rcj2xU+VfYcmfcwsPdNEiWwoQxyqGfGKiL72hULeIMJj69iPx/2YrQDwxKINCeLsN7NumD3YfxxfREPI90ZmMp/U3NBLZA9k6o0+on82IVEpGMD7q2SsnxL5SA0UmgUhSkPhaW/nOINM/l2hqsjQAXjsLLk2rY4QNopOvlY9QCIBhONAPoTFltce0fOj7/uiGGY5WBHqcB9gCrpE4mBTFxHZy7z6pGhuemU5p1BUWut4EdDnSapBKhIvjldbwmDh+U0j7pnNt3UoyIwL8kQs+dgJHAkI5dWLM27x/vgw0BJlYwWJHwR/t8MCApmFWmWrL0lTWRahadB5oPUD35GLq/Zcqg92spmc0pDxbHeJ35bTIRzHLHyWk8bRjZjXc/65HnJ7Bva0Fr4NQtCASc2YVjOqMcT8EMK4LZrh0X/XVZwEgEw39/6c/0OXEkvLkN8Nq/P63BQOu+G1H9w99H0i/Nv3BEVPWkosm7hI6gXtcFnBmPkNeQjc45+sKa6r7Ps4wbgn3R78DktsGkx2G3vg6476/cSJ2j3W03YfrIwMbeMIWD0oo055w2CWm46LLEz88nqx2d/L1HdNuuvRIml4N91kWCNxClOAL/uEhyMaZjY5ZKp06aXGojMKMko+AhyixTHncCho/PLWnZmryyV70ZqCwAt71TvocyvVK6RhEgbfGJRS33Hyupk6eQkp8li8SxBU5UNAjKRWTsj0qC8vi+LOJ9YUwkF6THfvTOOmoLDWTjLczUQ6hZgwoM6m6C01dI2A2LgY7B7HpYKvy5G4tYurmMaKOJzl8cQjgTRv8lfQgJoY8bIRQVvxAMWwf5hFIqyzb2nHAGRQxsGCDRQW7QGrsXjWwHmg+rc+bIHas9e3dLVUjOE6OT0e2auTNTlkCrA1Nahh0cVSa/3lYSBYAGsuq1yqtAOu80D/i8Yw2k82dWv7osQaDM/nOHCtNAy00kiDNsA0XXDkgNAkOUvCa3RR2YPQp7660wT7lYAyEJ9lxbi0d2eFCuN1Orw0tH0LprFdEf2euOiasOkODnxDQsv5+WTOpxLZMwqQMMTcDmRmEKi84H8xqhKJfDmPB4CKdBGqa30sVrnZUjjuD2ymULS6XiZQRASCBuqyNqlnLvLTdg+yOKAdn6dOCKHwU+9WvauiLGgEyIVPOkPefNZ0RScbYZK2dSPXus70cwPxgEAi4I6Lz15d0L4xffDXRWgBv+UG9+0TB3ZUIp1zpEOYVpekV8TpO15+ZgWz0XM/kBSLMbDsOOsH/M6SsLfEvH3+zTSXnLTI+ofgNse5US+sy+T2+Lvi0aBFRmJQggmEoWUTL4uUXLTpB0JaZIbDp90sMO5ICYo709cLALjJI2gwua6EgSIzr2JuDFGkAJXi8Ow2yMC2aBvVkurhUgcR5QntaMf9eg7Ke0EgjAYpa24gFP/R9AZhIIEdFNdLoji4l7sDsyOq7FfaAcMUFmNI6N5dLoHF/VccoHHO3tHnUcttJG5xZtn1i69qcNoPqAghQHr85g+dPLiKXa6E928M21COodw062JPU8qnR9rrWMZjOMqNcS595sWIQzBtydMEF/W5zDYl+ZEsZkWuTCdrGW6mWBYwGGwdyScxh04AySGDiR25/jfWwn8FpNszQf1srKBp0kVQodXiRKICKzZ26pOz8E463PyjnUq8gDFtx4Hy2fB+bnlEmQQdc2VirYalrWHntZKweS1T94GLhgG2y1CsOgLkLwoGsNDI+40r4zfsbCCQ1C+P69ZOTzHpnRE2fAQENGKiswE6MwExzjpAaEa0sw0JUAlJoRIZ026R8QnIOoHPK7aMRNcB/y2/W4HL0P2LZPg5Tykk60tP1AOd6tlvnJu9z3ZJ1kayata0Hv5rrrXALKZkfYKwVvQfrjO74GjF2LduoZwL3/IcJUVDoEZblFKlqluwML7Im2IBAQcJlTfXNm3/0LMLxxnbWlB+shREBaHwFoBCAREBUCXv320x7Fh3ddghp52H1z5W7J/JkJ0X+RoOZkk4zHk8zMjO8Bxp6mj3Nefek2YP2gAv/IRvjtjAsqM0EunCHOazObdw53bRWGgcKY62fLXHvV9WtbCgzMD8MM9NCyslzMkjbZ4Ga/KQAxzLA6Qwnivm4tcNTNr898BJhn/zgCbNkOLMzCUsLYj/S5WPdy+MtBA+xiEbi3oGp/vlXIrV8HJhxXvbMWzzeder2Dwhe6Qjn+p/IT+mHRD4MtjosvY8g2qNmjVK7DRvSb8i/MI8JWhJ/B0zxHWtMfFR9duv444lfnEB7UbTMcA8zqMZVJkF5j8EUHWy4AFc7GJ9TpM8h6xBhdF/D3CJMyPPUOTnp8TadHxBjw+fgAVhv4ndwPmUxxeBFqBPifR+Q/d94XYuI1GSWZDtkNK/p6Om05uC0YTjIceUgxC6LHwKkPfgdL+67H74JvUaF0XBHivHl9+BMzHDc8eEj1M3btUq4JVk/CbtKhVQBmj510DkiJPQCsLHQxBfwpFfW7yCbpCx8Rp0KgIK85qnz2KXGRVJB4HPibJFhcOyIGlvoKTYvOzP+HEKtgxHQMGJW+5ufx+iDJUGDfs/lK2Y/VTHDMn7yBgJTxv4v+vV08Bvuht2x+kCNoPm+5ZxAe7TqFjUnrkCsXrkzD5sZgsqcvGAht3Y7kb/wa8O9/CezpgyEpCjffJz1hD5isfZfnJZM0ZGbz+eGJzj/0Af37Kb8PlA8Dd/+d9uyZqSU5StbQaYH7mVl1gPP7lLBo6w8C67eqFxu+HFi4XZ23f2dx0fQzNt9yTwWy24A2A4wvP/oO0QFUe25PlrK5yPvlajoDLsKX/jTs9L9KRcIQjyB9XuIKOMnQAm5ZANJhKcO2YyGE+LcAyFx1gp/lH6ddZO9jWT0p2AZL0pgeW/mPRTTXWmg2DCK5MLych/WZNuoVi/GORQ2c7++uRheHm9iWbaPjArTBLSHUi0Ylcv3KkqgoKpWyEOLw7VNKSpTe0qft9x6KZeEYoHG7Z+eBkSGHynf7QsxGi5MGCbc6sm3Afj5L0K6fv6AgTWzZB6RG9G9vXMv3rBYwWyZ4jzzKxUX9TN+xC2X0SfJ+DP6YRXP7EjHYC3cARcdy6PryllwIpD2em5E2EpI1IDfmOAQiGgiQC4GiUhK1uuuSlY74ZBd0yFHSXiFJghqvP6Bl+acNwAzENhQOTTrWde6sHFFMidu0fatWsaTMHwf6BoDKKhCOu1aEO8atJuz0KtBPvIqLg1hZIi6B9M+LDWCoDiPXkwpaUZBLPpeJAjkjyITJdtNUAmZbEp17u7La3ZPqXwMhYRoM7Hu3ACNw6vakDAQ6B2+G/cc36lz1K/8E3t6nftvXc8zL9pEkxAPWW7pQT2iJu11rbzpIkhVkYspAxhG9W98NS1/4qn84bcGAXZlGiM77/Iwik+nj+cPFxe9zEkiVivYIpBhVnaOx90onQwrg2q1AgpS1HINyACkKrXB9vDirAkFEPRMdvfD1LviwdsApxzmHTfCgkBXRiRCVHxJ1QLP8TWD2y/qaPAFuHrC84BZE57TolPzRQJ7PO4/BjMWkv22Y5S5VRDrXPvRR4NCCahKMZmByGQWzLa0B33pIjwHL2YMpZSBerMOsN+Cx1UM8BRv3pOflQk5u+VwKhrP2P5gUUKEdXUdrpYnZ/7eAVsXCC2sQsOXntXpRXWrh+PXLWHvIIhc1GM41McPKBOOdCEcJw+hLNOXQpvb0wT5YRqfaQedYVStK7BM/pV8DN75oa1rBgDyn3MZYSHUemFVy7p9MfzQGRZNjrk9PJ0pnXegJbpe1N57yKx3UYeAxdudHpkBYeXAaEqvfEucv2bgw5XGKJAUUlzYCxtZcBbZYh4kVET6P55dVB4LwqE5pgQPHtD+eSikTYoZMkURGNrSCkSXjHsGl6zCpjJ4XOumxKVheI0emN2dmDOTo1Bcf1Czcry7wPXxcrt8aMFeVS6nylUV4I3FE8hHZrugevxrU3hxgkp9ANAdY5YtoK0lO5jqQ6gf6B4FUH+wtd6D5j0eBySQiL5uUoENGJqnfUWoDRyrAbA32gjQM93ud7TOH/PeFsfgtbPP4FbqhCELTdbQZTGTDCDVjMK95K5AdhokNnvbKYmDnrj3pAgFm+Hj3L3aT0t/9Odg//iTM2FbYda0SMGu0C4e1nMiRqLG4lNFlAaRzcCI78tKeFgHNc+VZMp5K5klGO858z93zfQ0E7Oo07NIJYRE0oxz4fhRjZktHQtASnbDsn2Y4MkdNgJ/8A5sFWLhYkqTn3n/UMiqd8NAocOyoVhOccpyWYX1ojc9DR18e6jp/ZnfFonK78/UU0GFWOUBmw56aMxHalM6d2KIZJTezToi1y8gYVDQa6FA7odqC2bKr+94TM64UTY73JMx2f4Y8BAyNAxESJD28Ub+R/7IC/cVl2GIL8WflEBoj0DEMb3sWlmQ5tBXFCYhxMSfGIGbQqrG1AOReNoTGw91KAX3T2M4wamt1rK2FROyPgUqxFt6oUAtbsMPkxYfC8PrCiF5NquF1JffhXD8VIdlKiYXh8drzXC+b++g7Kjp/TgtIpt3SSosESz2kTdxX6ksM6Xm2awUYjhjSqcqx3u6Q6pxd77muZVau1w07dkMGGtE4WvfNYfmPH9x4Nv/LTYSJtdizFcgPibKk7Wfmuw925pBTonQVJwYBFJ7iAZxbVQbDHVEYVjKEPjgi4FEMDCjOgRMKDEKF37/qxhwtOsyyiQ9JuG79iTJMpYnWZAwnPrGC+bkQMv0ljJ4fQfZXdsk0iSHPhQQMS8COHV1wqKSQjM7Sim/w2xYb5z6m5z8TFqIfe8+SgFqly8N7Pk+AKqWb3dQAqznCNNjcmDyRsVWRgI50HyOB1GwDIU4RbInDvPQt8Pb84Ml3cWBPtNgAgubAWRkI0KHbwpw6RRdF2+VjsMV55SpnpsV7j8ChoSjsgzfB1haAr/6WOkaKhHD8yLcxcql7MKQaXa/JvLZkOVwdZGF2o0G+EtzG3z3X0Ff+FO1SG2bkQniT2777fSnNbEgJf9sg4AOvlb87+2vwfvtjm4IBMzAF/PRHYA/eAHz9/RKckJxG0MgUBuJivJUdbPd69uDZ32VZl4viyooruzOzOwAM5jVbOv/VwJ0f6WIO6NF2DvSU3zs6rpXoadDxfT75DKsPDA6OUv2OjH+OXIbfnb+UFH+6IPNYM0bgNswe7yrPtTvwOBY3cdKNOrkFSGZgGhXY/ICCwXrM9KdhX34FcOy44+dfRe3f5iQIEGO2LSN6Sh5vdqhkri3e1f2MaAid43VE6m1M/NQIvMk0IikDDOktU1tu4YF3L8g1sPcZMZRm22jXQ4hH24iEm8p1ww6Ti32ayw0knzYAZJTXHpdn9fhFDTrrDTS+sobEr13dc12UFIQpG+PwFJymEOfpblsGAjzes7O6Lym2BHoPhGurHHLtAE4EpMgDoEBB4b4nCE+EhDbVvfQ7cpcB8zfq6GCv+YMMx2eUtrqgM/uWWILDh2HyKaBU09tjsB8Y2wrMH+vh7HcZPr/Tb09UKUJl9LN4fHwBKVYR+PiXSDBkgR8cVRBkNgKbiaL4tTUsLHhIpiwG+tpoV3uCTV5XJKli0EvGQwIphdyIVYUuyFBbRLwPZuW6sgSroonIj0wIH4VoVgiYT6sNJtcHO0a2Q4fH9Edb465K2Hskmf3zJ6cVLkOAKNklyWS47ZLNxzWwx2QBRuAcDAQ6M7cBn36T/G07HvDcN2nP7vrf18x2NA7spuY4gIe4mHZg//WP0Wl24F0zBDPshGGyfI7z8SScSanDZ9bUXpWnWc6TvrhvPoEJFxdhw3PPEfhDOlOikr/1J2h8cRXRP//EfxoM0KnLx+WmYOduB258myZ1z/mrjWCg89BNsERpb7lY37N8uNt9JjL+UYzBgMm8DJ3+fuDm9yhKXqYCNCDCgRVgrKELMzN06ae7XrrvVIaHpeQq/VCWblnhmJwApl0lhUZyGn8x54JNdTyWpfl+GffjgqmgJ2oHCH//RF5BW6w6iMRxCah+A8gOwnCMLZGTwA4stoyMA7MndLGWEUW3v8tLjqGNyHOWy2s6GeCPcvE3AXI1cvMzMy8AO0aBw9PwshHEn52HJYp7NKliNOy9syVEZ7wRIRlRh7M1i9ZnZhB5njqp6HxFyrqGALA9GdiHCmhNVx34DagVOqgt1mRfi42wkNnFQm1MnBeD4TQAjwFbDtkQTJl9duWrJwOhna+rfPPJ55Nehs6fEw08ruRj4G8eP2bMcqFkpASPya0aECzOdDkg+BkZzuJ3gPSjgNCk0sNticIykDjvVbDgeeZO+fLUZSCWQvjCPAb+hnoSOr0R3ppX5T86RwIzeV/MFmEPL2rFKORknJMJ2Gw/TLsMk6P2RA44ehRm/yFg587NeAOu5pu4InySDoPOTFErJynKK7unEhG05yrSZtm21QpWVY4xYSn/eAzm0gzCWzJAlsRMLshcngdyI+4e4vd5wIGjWrHYMg7De3h1Qasv/mZxXeB2sULAh123RZkVHRBQJhV8kGIb4DlllZA/FC6isierBgJqJBlXB+a1fxQoDwZ2xlj4rJjvp/GGK80DX3TAPt5UaaNz47zHdqU0i/cXkx7Z0M5kHK3b1hHliJwzs4d9Slc69uVqyUlOQRr5m6QmBEw1dLzHFyKhkeaVTkM+3GrJ0Ld2S0r4eJRAQDL7f3id/uOFvw7c8i4gYRQQffRW2PgMcPR+4DN/pSPYtxTRWW/By4TR90PM5JhlG3Tu/ixM4RKYUQ0cTGYStrAfKH4aJmmAK34C9ht/576U2RNBWVz4OiLxu0med/wFsJWPO8ATqx8syVO7vQkc/KDyxE+MKYqf33+ioMeCC9/WhPaEWVl4NCpjCh0x2OD4nWTfGkCwfC0Og+0YZqSyEywhuwx3cFDHvXw0uZ+t+pUGLtRCQexQXHR0PgMdRw5JtsPt4ne5r+Ux1P3tBxbcuNvxKky2Cdx7t7YxOGkQPYmKlgnk9gwsWxw+7TFH4FMhnPfGUTSPVWSKoN2wclhqDuQ4vDeC1ChxDUDhYAWtgxWZAgiFLcyUtiIk3jq2DLMljthFOXQePAaPDHnyPY5Xga/isRXZ3pqi9nmMpI1F8htiNIhz8IBB0kz3VEfI+Ed0/tadG9cmyguwsayg8A3BgT5xVOM+3aDs04HKHbp9xoPNsgIUQXhXDiZa1m3IZvXQE5nPzFqOs6uUHS4DU1kNElj54bXA8xYKwaT6gPCUw4Nwe8hASQIkd44J2OveoTr+GqaaYgmW1RR/WkKEmbitmpXTooMRDP3PnXqJ3bYCQ2e8sgQ8vA57+YgGJmxjWE77uImN4rIDtLaUkMgnHeLx5/E8WtBMnvf7qAumRAq6JIRBFNiSe5eniZWAuSrAQE9ahx20yk3I1eRoEITl8Q2/CbP9kg2uksBO3bgubjBEPsb3n+t2RgcCkhm/+xdUmnabGxuLa2Qt1UVZeySH7fb4fGfNoGA7keBGfFv0uUMSHAgSmO/lKCCNC6kTJBFpXN9yGRiWDR+FJkDQyhR6ma3I5wgYKBaSEm94PAHPOehHvG/xkG4XM9Hb3gXjkXiEinwt4IY/BQ5XurPIXNwyWtkN5zVbskJb1wE++G5NRp8xDK8vAns51fk+Aey9VB3h3F0wk4Owwy2g4CSDuYBREId9U7IEHlZOATPChTYEywrAzIwy/3FR9CsG4y8GIlng3r/UbWPPU+iLPZhiAXbqWqBxaLPzZF+bM+RCOBQX8BUWlETGshoxoyh0m83DLLlAj8ZRQBqdeNMPBFwmNejPWLtsjj8s+fI1Xg+hDp0dqxPs//LdO0OwM9OqOxCPKTB0hI7MwMzMKthtdk2vKe6TvAkIPy0PM6DVI7tCCVn3HbW2Or3BCOKLVYRsBwVYVBsG4XQY2bRBNmVF7a90oIL0rqRUDNp1i/TRMrxhf1a/x9ZaMNt4/bl9Yj/Bp/wNOQfFN/W7x/rIzFfSAEx8E1s0nqNpdhfsxuLGNotPN+ycrT814RsZCB1hFDUHtHXAuJhUdxpQGI4V5oY0IGSQxmpNvAWcmAUKJARSml0CSTsn1rUyUWaLKg4MDev3cPt8W5zVIIGCPT73BPdn10XA0f0bpD3mvMthKzfChAvAUEp4AYwIUgGhVAvZV4yhdbSMjBD99FAQEDTbF4G5Su/F2ueOI/aqQQ3ap48qmJLAwd3bVYiL1ywDSIL7eK/ImygeRPVOghq7my4BbC4GrFkFQjLz368BsgRPDAIeVCzJ6lxduCOS4zFEfuaNSD31pSef/cBO0XzIx2N+vw1OwRkXCPiAPnv4TuCTf6jiHyTd4EgTN5fZJMt0Anhj9tmGbZNkxi0E8maW7Dwh67AT18Ic+aou9LM14HgVeNqQEtMIBsCo/K0g3nsQxrJYOrYyGe3qWThJ7MKLj+NovjHg4OKwhSAt9mzJed/t4xPDgH/+TXWOg2HXW49o8OHWd7vSVPSxuzC9SAiZH+zXbSiSaS4Ky+Ox7CvcsRzvAfd/UBfOA3er/voAUWtk16MjH+g6BTrnra+G5QL8lffodz78TzBUqNv+k/qZD/+tjmlxUaQOQeFLyhZIat5aTeap5XWhMCxBTzd+DtjWD4w6HgBxWj3HimQ17EGTTIZOm0EUVCFO2g+ktaUtL2oGR8sPqTNnRjn6AmD63zZfJJOvBmJ50SCQPjrPH3kGNkhrekrOdKp+RqrKQCrywooOT/dKE5ZIc5LA0MHRgbEqMExOBOcQ76RaYQv2kiwMp0b8/ZuMIxrykDpSR6zWweDLh9FeaqD0+a7U7voDJUSHwsiNsm1hgek6OqzQ8JomIc3Tx4GFdWC+AsvRRTo6P0hlEDDYE1Syz+1fHDyWPnvevfuBrVT5izpmRuJCODbpgjqfTIfbvTangRnlfIkVEXIhN6nBSkP5dpHU3biPfCAi+Ql8bIIc14helxnSHxuYFcUE4LIBLaezNcWgj9fD4gIwuVO3hzLEbEf5VSOKHfH6IKWwHwzwcxlo8G9OsIzltNLAdoabArCs7h1aQng0Kj/24RLsXavo7EjDu2gIyOk51muyg+hECJhf0lV/elF6/faSPRpUiDhRY3NHYnIUdmQKZseztAqzdBMwNw0MXgd7z8c0xZd1iBUFloJcJaDPkQOhe1mTNmNlsYXdT33u5us4sMDOEAufcSDA//fTWnqeLUvSIhE3y6U+wIhz2a0OWvcXEd7Xp1kUHR5Rwuz1MSBgOZ/67PzQxRtdaY49UQP8l/8FMzkC3PQu1+N1mRDFVbgwCxe+Iznx58xpRM1zYWP2zseGXBazztaBLgiW/eBmB63f/HkJUsK//R5425y2OLnVfRY5X9/8ZAa1HWngvnUgH0Z7roHQJLN3zka5RTPT0eDmGhLpRGFYDWi1dRNFFOW7UC87+GHFOvjGRZiNTy7yhz7ohIGIFk9o0MKRLVofs3xXqmd1gjK15L6Xz2Clxs1A07n4jscfy5LsTkFulDS2WygCw0CsrYx67Z4f+YwasL6ux3T1KzDM7olD2PYyYOELwLEPA7t/Bdj9a8DCLcADH+x+H4+DEByRi56lfpJAZWDi5wNlBwbkRAN77wSibUtq71+CwohWT3iue8FzbIE87ErYvB7HXVbNDLAvhoE3bEHnwTXgobJmkT0WvyqD5GQS9j6dIZdOhReCN5iA5aSAaAi4OYzbl7WH/ELyNDzS7E33AX1GwWv9aQ3WpOrSFCa/TQEQOSDufwgYHpDqCKmKpSyeTKvTm3ECU1SCzGT1+7LDAqizNXJIkPqQTtK1fISKuKE9dtkYXkOuApEn/wADqQ5MfxJ223YdPV1fh2U1j60NjiOKTDRHVSNdZcoNHoGWXnOcIBkeVjwEbfGABimUDBY+BHdtnaQ9gZ1peCMJeHTKHu/RsN5dXEvKFZjxpO43ARx04GxrcHyWgkRC3WhhuR0MPASYSXBhH0DODV7PoQjs5I8CN79XKav9KR3PoHmg2F1I+Viie/aS0TYK9XCXAyKwx98CIoEnVyAgxpudmuyjVJSjo+CCzZIvnxQycFlOI5e6TJkkIm5sSqoFNc4fu0oBy/2y+EQUbDQeAx76B9jlOAwz6f6cEufQwdO4CLD0KUAi67JSN7pFX37jKlIXsiTq5r7bvqyoB0uluwdK6oMeLKBd6SDzK69H4jl5eJwTf/Z/2+h1EzhEPINs2yZ+Fo4Vad+Xqq4Et7WLbXguCJIS1gjH8DzYo2UYEh/RhKDGKej19YyFjfwAwBlxZyISJAET5+5TshjrSKHVSoB8hhMh4thW3TGx+ds2NgZkngLMfQ2Y65m6SLtsjubofeV9kvW5RdFf2I8cEh0AOVBke9t9sS7YB+9F/cZFxK7bIr1nO0cp4oj0oynoYpiVMUgR9jdS3n4EyL8YmPsUQICkOBPOy5P6lb1pVkDYU6dz59/3aFWHAEZ+I3EfRH7TsTMgcD0BIfBhZp3pg6XTIXc9rwW2nDg3PhKHN9xD/MLxUYkjHHN9PIT0BSlUVpuIX9GPyJYksNbEcsNDZrqCTs3C3l9E4qe2icqd6BcT1MYsnjTHw4kNrQZLouJD9wNrVZHuNR45HNzCFx/Sc8TzyaoS9+uhg5rd8tjyvmHJO0wxn2XJau3AsFbB2G/qsQ23VViByYzCsifFYECe7HFgUmlzrQo61Hk38SLnN6SVsvkGzGjdkfVkYG++E3YsB0OkvOBBHHthdkydOid95FooaNuC2hUZCgI5QiK2awg+rZDTgCJGXBdqXUyKvw+kG2ZQKURfbqvSaViOLHJKSKZlasDQACx9//KqgiWpcinXLSsYbCuRijkBw0CAJEy3fdSRNZGC++YukFDAhzXRHghvTaF547LgAxh+eNEQmiGg+FAFIWulozLwvvcjttNXVgzsjJoasI/n1pyd9oQGAjIqR/WxcOJRx+XswTt1AZtpwk6kNNt3884ksrEsjwsmoKM3vfTSfZCauzlzFFmJwd40C4xxMWAJk5S3Dv3ro449OgNK3o4BJ+bcrDWZzKhCV9UM2e8587liEbHLczKGt7EIkadeAg3+224ovw3u5vSBFU16mXWnffrdwHgKuPCHYGc/q71p4yoKPAvcxqW6Ip8JdEyFYFoeQjWLdqMDb4xKgUQuk8K0DcOs1B9f3HDWPpDKLe2Z7cChz+nKSJY2HzkXiSoPPJ0gEfy+MTvrZ0XAjVP5n+uPeu14BbD2BQmYTHgNdsjR3/YlVGyGaA1BorMc3VbCGW4kM0MGWTQ6XYLYoi5IowkILo7Yyy7UMuz8rJbfqVrIrF6Y8gxw/N8cqL2mDmnx47JfcoSjUaUy5mf6VQwSz5TL+j08n0Sgl1sw5HSdL+uxYnBAJyb9eXeu5DpxfPNwrIxXD8KIwMzmjN8fI22VO0I4xCmB0FNz6BPJWcU3mEsmMHTVTjT/6k60SUfr406OLgPDjq8+G4P5kfPFccthWV3XMriv1yAtFcevMMLxzhDs8JTeH3Pke2jDjA5L8GK/eEh0IcwzRzYcKisdMtnCVoy/aIpQT0eveZ6zSkXVHOV+UqlekYEWh7mszr8vB9R5fHlNuDG/k5X3WBXyiat473BMY21Nnbhw6TLK1etQAgLa+sIGt4Gg8UW62OFDSEC0O6djotwW9vb5nedHgduPSPuwV3RGgJ+sgBBsuG+XggF90iVOmvA+4Gcw0BSODJU4ltdI1dECE/uA1hrQ79okM9ScbnfHbPl9TDCWNKjyhuIw0YZMqDCAT6RDCF+aRmWtCa9mEUkGFYEzVnTIBmDB8BMaBHz+57r/ft57NwUDlspjf/mbwMWZRy+LFprAHevAxUq9KsZ78HhZR3Nc/1d03eng9vVpn/7inwLmPqEIZPa6Iw7cx8yXzoQ39rYd2q9mIMDyofEpeN3qxkUykUJEJhNU0lemBnZPAIWilqDpoNl+4G/+P+Yhviupo2EZBQhKhnb7v8CkHQ//cEadketP2j1RLTseLEpVxF+wQwTo+e+hiUyrUp8+wnr786lx4Cm/BNzBNkh7Y6xPMslGC7ahSmoC7GJIPTLqDrZ9JGaCO8WszNcR2DapCycfZ4m69/WssmT6tTxPkh7u9/w67EKFZQl18nRMExmYQ/fBFCuwjQYMF/qpLSJCJM6JizOVCbmAk4WQC/DSvBLETO3Y1IvdFAD5++CPyLWsVmysRWexjuYta4g/c0BPL0v5DBKHdK4f68y+dfLBEqPAAKjUhDfIKgMz1826C50jJZipFCJX5ACWxecK0rIRI8EMs1gGMvyyHXFh8RV8yC3LsLsY7Pa0c4TNUqdRJEuR65RTHG1tk1EBsM8h/ZlN33G/VrouIaKeQEBSFcdgXrxPwaBxR+HLwJVtGd4XAvQb0ev12OGe48cAYxdQc5WeOnv3bW0XyGifO7cdl9X76oAcwRP93J6DMjujo4N8Da/tg0dhTxyH2XMBMO5IjfxrSnAHvH9TbvKgozgCAgt9HIEATskaGdWMnNvCqsb8vLZppiuwF00IgZBdWlLGwcUybP8gDANQ18VTPhAGuZ671x3WhpUL/5in+4HpgzpqOOnaehIakyxroYsP8amByUTKw1fgMTAqLsQko9JBdCqO6HxD9kvkwQML7Ay109oaIDXuBiEOrWlhyNDF0vliDZ1vsDxMjEAEhgA5YgNYPk14CE9qNlq9s4Tk0wdhzp/UPl+l7qJ83vQcYcpuZLYExWl2S6CWQ+jRhF/d9djpMHlnk6Z2dMiVM1l4iCmQy2M514m/cKHK59FercMI1aByjnPkyIxGYPwKrM9S1l0B1eh4ep0ZWxvTZUXmr7eUfIYl7O1kQOvpu1PPPOFtbKpkhey5cnHk/jHbJ5KZ2XdkQFHgvRlbpaUTCEtVYM9Et/Tum08bzMyav7mffP7Bf9UMiceCQZTQ5unzRgInt9DSePz5nsYqbLkF++VZIBeGIccDN4bnmYxyBCaOh2GOHNPqjA9O4zHm+4m24meznCxE/WxfEAh3GTD9aXX2Pr5AMjxX2aA6oYjTGFgGVzzM81WE2haNtQZqn11A6OocorsyXSAoz9MOytqFgaMzMOwRE1TGIEAuWLuJNc6u1pSS2PeCs+ubR5EEhd8GDs5oIWYkgsbhEiIlJ997vAb7nEEFnXIbjsw7zvkwLDEgvlSETAKQ9pdVHZ8y2oMZCcPunRR2vI05dv8UOnZBCch8YiK2SniMZCS351okdTGDAwIC/RE9kj8R0c8qAC3JwJrTMkokJTu06xI9H2snYDnF0OewBqI14Co3vZbkPeeTCfG6aTjsD+/TNEy8XwPtoV3AkbscP0UMmKDUMMV/FjQILazCxFwliAyMlxAgarSvL/ecEyfiMfOzfO4Ht9HnnWBbkMJDdN78/vWyyFQjRhIusmPWYeQ6I+11B1hbgkf8EY9cIgozeCEwQ2kpN8TST7KttMaijNrOoyqjLgDEhBgyXgb2fbEAInAWBQLM/lkF8FsDQvTz3h/XJ3/uQ4KwN7/6f4B736U8/ryZCixdsjSv6nGtWhsrN+uc9MBzBxAejSG2jcjirrqZYQm8WlGZWwLYpv+5ZyM4JscXnTQrTuOCwYWEtloAtriSZWygO+NO2tUVJ88qxDhlZfK9awWRvTFYtg7I5kfeehIN1XpIh3z5W18FkNkeZX2ZlfN5IUzvcfY7+rSXn2po5VU05x0moZeq11+0OdvNUisdyvjzYG0f8Kk366jgM38W5p6/31iYlLXNA7Zz3/zSf09plU70yIKgtXWUjGjzNR09ZIbHxZSgLr6vP68LrF9NoDGLX5x3VYYcsFwFxovKqObbrqfCVA4A445vYRt/+46WpXuVp1WgVhgY/VE9/kXyI7Bf/wWVTmZ2yAoCN/PILLCVVZpVzZzdCCGqc5tIYuyOFOJDqhuv55JVjboyKvpVDT7HIIQVJLl2XHbea6ykUBJ5jMegrI6U55G4AR9XMEiQJb+boLwEIhdb4Js9+ApRqqOKnmJHBAuybXizfgBL+xlWSEJaOeFjMsPf1iCCyo0swffSRtPRSZkbwMKiC0oIinPPx1wgJoEemffW9Vgvruj5JTcDnedxZSW0uZyC/ngOsuPA2oy759j+agvug7z6Gy0pilu1i7DUdKg1tezvV+2krcD2UVUh9bRwTIOAdQUxWr5nY2d6snAJCgnIS8Ds3a3bLCBAjsqu6/NsL3oRmIltjj57XYPkHrIrObYcm8274POrt+v9yARDOo5hYHoBOG+78ImYdAUoaVAkNNDmuI4i8oeBvx940Ri083EGu+zOPPstMEMBb8D3zU4RI4AAI/DEVgQ2tQJcNWCTRsA//66W9InM96NsUnKEDU7cXEa7YhET+lntozILCjFK33QiXXlRkO/sh7KERwR8SzPkh3Ru3b7wrTCsFtRmgbUvbr4aKMLjm59BcEHhotlHZj7ynvsZsEXk2iFgsaDOn6pnrAx7HtrpMMqfnBPK48wrJzVb5HgRjU5CsiHN7mRmm/15Lvjk1vdLsVxIJSN3qw4BSjLuFNLX0yHwQ0gUJADHMLD6SaDaADLUsyXrWVZY7LhY2gcLwL6s4/13ZCoskXKMirwJQsfaAEb7NcvkdtF6M06puHAsj1oLRZ1r7zXOhbNdwG3hDyvszxqFXaNgkMsSS/cp/bD/kWwjtBrKhietCRf4RCKwoy+BOfIhd17dSBtxHSSJMT4XhMuqN1R2e9zIcF6ZFgUt3kKKY3obT7oKkY9CF6KZAjDAEbsaMEwypTKsr9bIitM8M0tHs8xrLEbp5SjsVE6qAgL84zVMy7EHHwZ2vRx48OPAYAzr1Y4kttHrXDWAWenDRVgGvIMJeBnl12c2agtl3SXy27MK4NMv8/og38IAA1ZWgQpa1vZbWuzT83hRVndrCDh+HNYpOMrnlXh9tPU6dEI+cixYoREQLBny6JTdTP38ogDtJJNnWyo76kZ65eZQshxe93T4/eMaKB4/ApOMwo6NirgQQLGlVWCAoDl3LgkA5XGWIGBaR1tpD80A23ld8Vw/7Mb0ao+kT+Z9KCRLYQkCzfQs7DDbbeSHmFUhKgZp/r3m3+kVKhSyBUi+CiovOkXR3s/fdE1HtZUna1UJlgJWoTawqysU9agmbYgAHxDYmW2nrTUg7YCf+9DG33b6wc3ytdOu90/dgJDByHveAYxdBLNwCPYD/0vIW7rAHVJ5FmHGRlz/PAmMvAioUlVN6N6AhGIPLKN8mQq0wOH3djdIdM59pRgHkOo1+ZySLpICLqJuexim1YDdyHQ4+vVm4J6/kD9DsTAyP7tT5/AlQ0goCl0EbeiAqHiYVASztCtcBsvkYnFNAU8MAMptQSfrhzqWw70vgyl+TfvvPt85S5uufC3VBPrFbBj2xnfqFAUXWTooCrik2zChslLXNuvSW/UJleQ09O4TXInbBw+exBUg6nH7DzsFvXEdlSIXAPuzrTpMpSKLrRx/8vzn0zB5Zqw9dLh0th2LTqUAjzPx8TEBDaoK3S0aczFgmV2BYU/an1FnQMNTRcc3QjVDlw3LzLrLqMtFDaxI68tj54vA0Ch2w32lg+LrfZAoHfzETqBRUCprvy3ADJ5/DroRwqlxGFZi+PfqvIJTswngoEPdizJdHbjn/wnXhZ2uIXtBCq3ZGqoPlpF6lhIlhS4bQOd4CYbtoQcpMeyAmPwPM9C5Rfku4Vbg9UnCIemZO7Anx/xKq90JjiSdloLgkBvWn5tv1ntBmtos8TuK7dK6qgn2Gp9nlamtqntyrIUlsAOszgCZYVeh4sx/3oH7XIAo/Btd0CHvEXeWgb4hZRSkXLJvibxWBgqOC+L+GWBHDpYOfmqX3qsnDndZCmlVx34pEyDdtpbtSwH3K1kWFh6Afepeh0nhOfSkUkW+CLt/DXbXAEy7qbiCLVQUded4y5Bey9mMA7w6kCsnSdaqsP96XOPRp+Zg2Kbr1Rzh+CJHg5fdPc/Hv/6nsFMXn1ap8ie1narokA3AgqcVI7CBDaBx4eYC7XTgOdtt3/A/YQ78g/w7/PCfA9v/EBjpU415eZCNV8qTMrMpwhI5TkfJz1r4jy7HOjMHAWwBeOprgLVvAXP/vDnqp9MR0BLBPpxzZg+co1w90b6w43GByGlQIGXBvDo4LtBlLnDFDZU90SfXuceenWZgw89wQi4+1//J5alsUnu6BIr1Ps6skRoCd3wMdqRf0e98QV4d08maM4qAd6A+68CUJKzhNrD/yUWaDoWZ7OTA5puj5tDhzAoXC9oa4Lw4Zfa4sLL/TFwFHQqDHTgHwGPNRZs9YrYIZLvdAsmRTgrBMJDisfCzvGodhvPeso0xDVAY0AnIje9LwbD3TG79FS3R2hpL43S8lwN3XK+fs3OrjnOyL04gpBwDRXsTC+EfBlYTRJ2O55nblutXx+ILMRGcRmfFAKNUBu7TPr9ozJ98jGnMiH3xmkwc9sIRra7IaCe/z4nOEEiWCiN8TR7RnVmg4PZFOAmodtfTHno0k+94lAzTd7zEu9AOPeQmPfb0nFOgtdqQzWl1PMSw1n2q6NppGw/4QFneC+5xHn/yAPjUzlL6InlRDEjn3Xt61CMZhNB4Paxpm0XLBm4qx7+yCUJle8n/To5E5vMO4+FexnuYx5PtDL8ax8CUwZuMrCqXiAZCLhDold3muRUsibvftqRU7bARh1mtacsQPUU6tnx4b6ysyXtZVRJsTJGTE8SgsGUFgJLSUwmd6oj6OhwMFKPaInDFycC+fxZgBJ5EPALSQ3vLv8DOH9J1ZnSHZrUuEBD7zK/rAvCLf6lzzv/xe9LLM/tcP5+lzxlKmC4DOxhkFPQxcYTqdM3615yaXkhR7USHS4+xCcOSbr8B5k7oajClTmXDiF6mKI58Vw1YK7mFh6XsCHD/w8D974LdmhUkvrQ0d/w3IJxDKFkC7v1rBXztfSVw4lPdET1mx3S0y1TncwGO9F5JUqSoZOn1S5/XX6CZ3azDZNzIFeffKZQkDHkUQdKs15AkJx0VJjbTF4cZ7QMKzApdlsTysnz+mgjuCOe6gNLcPvuVkXILnTtXYc4nOt5NdrAXz15tXx/sheogxWn7Y2VuYd8UyPRWGmQsbdUpwnW06sFzwIWdLQc6Eo4lrnTc6JnDR7Bsz4DCByguO64Ef582gIuurB1NyMgp8SM2qdz4G7PDLAsvuex90DkZBmnMBFnepjHwcTPt2v/lWGq/jE1KkED8B6spWyYVmEcAG6+peE4Je2JFBS9a6hFYhJ86pP12bmcmBssyPRklea2NJoD5mgZ72/uU8pZ4GlYyVtdg0nQ6LngaGOyC+8rM6nscufTKK8D8tFY7GEBUqwj3RbD4nmNYWPZw4e/2yFkfmoHdOQEjolJsFRAYOAasPQRMnCx7zfG8ho6Bynihz1zoAl9WenjuduxV53zosFB2y7nzW4KZoW6gwEDCKwFHjivHxFN2OvbBNlBY1CkUH//AgEColTmFw2CclYsedcSywxzI8eF5d8ZrmvskU4kGhoqKvFbWnIaG3+/n5V6sw9aoXJqCXS9ozOOuZwEF/9gWGWeW6ZDVZVieu7iBySrZmbao3Ddz+17wB0E1ILBHWKlUwre+9S2MjY3hwgsvxOm0MyYQ8IOBXlCN4AhWuCBx4XARvxdW6lzy9F8woQu2OE7td2vWZx1tsAHyzwQWvggsLTgn6gCIXLR8VPOBNSnf2nHyGzgsANnzWH5kpkdMAFzJ2TdmW5MMQJhisv/+6H3C0PaLYVLjsOUT6iy4vZyHp7Evz1KtcNdndMGWHfdbqCQd8hcU10rgRAFHxghI40vibixsgX1Wkv4k9BiQXZHsdcyKtzwX5tgXevgFWOnoADtfDcz/uzv4unhtjFGdNOHAjMns7oMZTsD45EBSLnatCMf/LpkejwUXXX5dfljLsXTwNJLxcGGnI2Sm6JPf8NxyG8aHtSzPfWmTw55ZWwuozwGX/jLQWAEO/nNX7dC3Pdsds4g7HzxWzDJ9YBwzW+mPc2TMxxJQqOcaYMkdA74n5N7nz5iTmpiXFIWCBnIbc/eGfX+S0dBhUaxofAyWDurYrJaLeTz86RLyWsy1gCMlhOodVavjXLkI1riKgTvvJkusgSvv+/1vjs2vlmCLZYBZu9MYkONMxjui3Cs1JShaXwLyTwMSR3QbKMXMu1wCWp+7mpNwTTz8J9PY8rNjiA44nA3JmPKZ7rW87vaPlQCeE7IDrsx102a2H3oFrHRvdbRWwIt1DVo4fZO5CGge7DIDLp8ARnuEuXgut25RwK5UAtz1QjAgiYGoDcB7uN6E2dpdNO39t27+duIqLt0uUwCmWQGOTut5mOI0CPch2Z1c4DayKnbedt3m+RM6OnqcwMkOOnPEPRjYyX6Y4jrs8rqqbZK+nPdPtaGU3w841shtVlt5vpHs7Pl/CG/LlScdo8DOdR6BO+64A6997WuxdetW3H///Xj5y1+Od73rXThddkYFAo9qXCx9ZDvlQ6/5BeDLrAyQSz8KbOkhJpqfc21nA8wuKKKbpDNZjj65KF3EY3o00fna84e7M+UjqrZm+54JfO198rF2hDPM5BJIwLBczgDBJ01xTsU0KrD7xoHlNRj2E7naEkxUnoMtzenixj7sI/QMHPiNCxG/37iesOvf+mNhQunLrN+Nrj3C/N51kWVS1oA5c18HKFg0+yV1pr76IgMBVgKOfEz7+NyU7aMaBHDhZoDEtgoXPW5iqbZBvbtBJLNRxmWmutoVBfKJgGS+XLEYcp62OwCmBC3z2vbwxxJFYjehTmJlVcuxzML5HevUR3ATCQ+/X7+bC/vJimH+hACdF6sFsg2uKiLjoa7uy6oOzekPoOhGwGgsO/uTI6KwSK6JiDpgChYJLTRHN7VFstHWoUqlVdIau/1q4Pi3NkvsShDSI4jF1pPPvsiSPFsZO0Yc66Gi5R/1LJOEamkNZsoFQKEY7IkZ4G6HtH/axTDk7l+/WbNvXiv8bp5vOuV+g9bDqxh43QT6jUGEwd466Zy1ZYSBfnWMfhVoo23FbJiMgnXYWBSG0xQMRohJqFChz4kKUQWRx0Dm/LkdLrCVk3CfckNsXK9NxRWkXKWHlbmahWGVgweA1wU3g6yIcq/HZV9sbmQzjk9wL6XuvVSqwGQ5hmhhb1/R231fHiG/C7nOCZu0u27Xu4qcWx4F1c970OcaEZ0GBxJ10wNCisUxXuJFiAmQSmOPJcMwuWBs8PttZyOzYLvdxte//nXk83ksLy9j27ZtQSDwbTEEP/N/1ZHe8BYt6WX+c8CNJZvaJgfh5p2JrOfCu8Txog7wA/8bOPh33X6wc15mYtiRmJD//XPd6QNhWWtqJisZhXMC09O60NI/1BowLM36pVq/UvDN/0//SRDYyNBmXMKK03Tnqxk83MPPDwF7M8AKS69WiIkUId0WxjLxEBRPiruFfqkhfO5UfZNjRnAat+GKVwIPf0I3X0r+7PlzQXcLHPdH+rXuGAm+wN0RLG+vLGrw4h63zG74sm3PB4q36OuktOskZWtuIWw0YY/PAAd1RM5ePAXDKQKRq3VSzj64iuV/yrzS6JQZCLBXL0GGBkiWFMH+EV2vwWQp00uCpXQ3KPGNDkFYDVvS9tk41MzQSdnL9ZzOqPcaIXDzqb8AxNgy+YwDirpAgaAyoV+eUfXCjQuN+xCWdkV7sQhbaiJEQUNWHFbuUvT/8XXtc3O/WJWJhWBF+pp0yksqfb2lD4bVCgZjrKwcXQPGkgKKNAxYuM0UGhKK7Q5K/3xCHFH65yN6nadPqkJJ391tpxzLAR2t5Pkk14NU4enQOwgLpoNEXgRytmE45siALj4MjLl7jCp9vQyErI75o7TCG+D4/4mXiauio1JvkzmyV1LYh5qQFZBTIawMna+v7VDAi9dmHPbzt8K86jLH6NmjPSEU4lSabAP/cSM6ZAW8YBSGVNIime0YJaMJWAaYxRPAPaooyUVegtsDh7r7srFNPYDXw8cVAzPN6RUXQNLBJ2PdNYX3KJMRn/HQFyg6LyOKpBv3GI04pvgm/vDAnkQ2NzeHD3zgAzhy5Aje9ra3YWTEaXD02G233Ybrr78e9Xodz33uc/GCF7xg47krrrgCR48exQ033ICvfvWr+LEf+zGcTjvjYSwMBlhaMz/yAf2ZuBx46d8Bz3qr3miUmD16GDjEsiM56quwyQgsgULkO2c26i9CfmWh2YNYZtbNH/YZufiPvki/lxWA87YC52+HGWJPN6EEIwQKMmthBktUNTEI8bRmk2QYdGbX2Gr4wc074zP20WFyekAWOncK+Ded+6V5RZozuOinkwgpnXKJPd8WcJSZFhXd6sADZfmx1DiQ32VYAidp+z+uTr5nkqC7HT3ZHimGF5eB+WVgZgFY1l42R82IK5AARdoPIR23mvkCMDuvP00FMlpmjKyUcEyLjHSuJC7G/rtgMNyoFyspvqwuqyDFHopjTkDwePolfwHtRbsOgf+mII0//+7/+Cp83/Fi4phiRasHdJAMUBiMHPgIsPIpfY0PYhMHVwXWCjB7xmCmmKn6o58sxZeE2S7UqSAcbaD8vrvRJuCSTlBoiDm94qhwWVbfNgWze4uOEspnOE0MOjcGbqz87BlTYh3STq860KwwEXko/cc8Wseq6LDi4zvJhhuBu3wXcM3FMH1unJDfT2fZQz7kH1+zcpIwEsmShBTJGZkyfeM9QWwGHb+0TaJ6rY9O6fdLYJzWkUEhB3JtN1o46lQO2cYqKtYjRMc64AiwiKtw2gIS0JkudoVBEfE7nEZJpmBlbLdPBYJkvLOk+A1H6CXXAwPDqKvW9Ipq0SSedyqirBL6twF5GcpNWMEGKU+DVON4jkaSMLz2qLLJ+HmeWAKSkrFV40YoRRBMgwPDlp2AQil/zPZYB7jkl2H6Hl2SPLDHzxionerP92K/+7u/iyuvvBJ33XUX/uZv/garfku3xz760Y/immuuQaFQQDwex6tf/Wr8+q9rJdu3w4cPy+u+9rWvYceOHTidZqzwep6dZhfuAL7yG11Hl4iqAmCKWWTHZXcue+cixQyGizIfYybBxazgggL2EH3VvO0/Bex/v/7NLN8vI/t66pzNJshNKFivApa/qY+vKuBOnDaR+ZJou4oD114ClLhN/hgeX8vFjM6D+8OpA1FC46giRWOctOlqXXEBaw6AV2yhU2nBrHEE0Cji2YEIzb40TIq976QujExKjOqmW24XX5eOwLBXn0jAElzFYIEO3yfdYRBCiWHfhlMwMhVBkRuVXRU2Nmb3/De/R7hmSJyUk8oM7juh/eOhBAxlkX1jlluqa+VCcCA1gNMPDMaW3Ljfri3qGGo1WFdetkfr8K7ZsRkQxwOcuQY49h8aWDAg8DO+/ucDR/7JcUk4bAaBgf7oXN5F8Cem1VkNDAHzC8DWnooTgxeZfnClYGazbGswzWQ1iRS3crxCsAwQCRIkip3fQ2rhC/bpe+X6c+2f5TXlx6ftJG8/s/+I9ObliPNlFMqZJDfFUndTblpUAZ64h9B5A4pi537Q4foATF5XfruL38csWpD0OQX3kfp3nvgMOn4NBiiTw/aER74KP1DmmCtlpaU8zxaJY5OUN7jKDil4547ra3buc6qV7uJhhYDkSiz3z89pCZ1VBhntzes0hggYUcCLwYLSLMtrO02l4F5adOexX3AuG/f4alGCMOnF9w9oi4nP+fcuqcTZyz/sFufzt6L97/vh8RxTRnoLSbLc8WGrhWqmc2wN5DRf8Am0Di0CE8IHLTLLWC25QMBhRwS8S5rmkiqeSnnalSB4CV7z8/Aufc0j1qzAHj+jk81ms5i+YgcyG5XYx/A5rQ6mbj2E9fV1ZNim/A529913Y9++fRIIMCB44IEHcN55520832g0MDExgV/8xV/Eb//2b8tjH/vYx/CqV70KDz30EHbu3Im1tTX0UyxNcrKWYAVuuukmTE6enhHTMx8j4MxW5rpjUmQkYxTWcosAjYssS41pMub9GGyzAnPk37plTVqdIi+D6tilxMksh1mIBww9H5j1s0LVhRcbewmw8O+bpXVPHHMgPwolfUKWU+ESbylZiyWSX4CNBna9IxmlPOE7DpaRBJ2vJD42/zzg+GeVApnOp1jSBSkdhv3Ggvb9mTEy2yCYut5G87gyzIXiBl4PQIllasOyNUu3HFkjg54/XUbKZv91LxmH4YjToVWn/tYCJphFciE7KUJ+cBX2kpTD12mGKkQ7kZByBLAvzOzN8QKICNFFkzLayVIyyXhktK5Q0umGmTIstznLbN8CKwUNRpiR8Utm3fgXo3UGOvzavdQCoDwsxxUZaLlSNFUFh0d6FOEWtMoycQ0wsAu47x0atLGNwUqAz87o29Coqt7RYftofP8YsdzLLNtXpqPjEFKnJdVnoDstNtAJhRHO9dSKmT1XasB9D6ijnFB+C7u2Dhxf0vEznhsGQwyWZCytqA6KvBKU3OX1MTSo+ggnFhG+qB8ouFaATIi40TpiGkKUAXZEQ7JRrFI5KmxWqcpr2n7g/THcr5m6gDPZe0/K2CtZAc36ihN0iookr0yQcPKA2Td73TyGsYyeZ5bNeS5Yll9ZAEZcj51OnfgAivTQKE0s9Jtum4/s1ykZBmcRfxTGAWOzMRVFYnDJLF/uxbCj0XYtHQZZrCpw2/y2kD99IORSxJB4MOc57MHCHLxLs8Cxon4OKyJku5RJgZBqWYySc6IqWBXB5PB6Po+U5ZR8bsEurCjt+Wod9oQTqyq3BRQqtMRHdVLBjkRcOyECDO4+aQUL7EwfHyxwsqfHYrGY/JxsF1988bf9PE4CLC0tCRjQt5e97GVIpVL49Kc/jV/5lV/B29/+dsEJXHLJJRJQhEIhDLPaeZrsjA0EbKnrDFBbhL3l/8iCbHrm+ju3rcGjLLCzjaX4lg/oos3M9+RIsdXT56Nd9JPA0heAhc91nUmbQECX4Sz+hz5M2WBf710YzdoyNmSvP66lwB+egnFZlsj90gguG2Kps6cFQBMiHJXp5efiKx/U79g2pJkO+5J8jg9yjOlCF6XSKR4uwy7pCByfry61sLRsMDTlIdIfQnSU42jaD5agaAPUd9IBni7pZMHGcWHp1AMO8mYwaIc9hFhO9ZWEGXj5o44E4/G1fsmeNLyTWx1Nc9GNFLJiwEzaSqVAqhYUYCLvv2i/t4UPQBT9uJiyLdJrIrXrl6yNTj/ISJmjHabTTjJjczoKPtueP2bYXIUZuAh2+0/A3vkXcs5MWjyFOk+WtVlOlgyO21SHZRY8vyhtIUtEPPvGTzlf0fJHKUSzBBzVxcKyv89CUSaqhHRrK+7i43EMi469JQUwpxRcRUDGF7ePamWFIEGhrWaAoedz4/rj4iNaC1Fgbp7kxBtz7mIDma5qHneJLRmCPwnu5LUnI/4ENDqRIcHHLMJK8KTVLaneCJCSbJhJdbTUeigqsZKMP/YWCzk5k+yHEc0Hbh+VNIcVv9PoaSdwasGX9hUCrwrMxU7um9UckgkRe5BIAzuHXIDt6Tgwj4NUt1jVo0ZCT9uIFYfeY8BAQnABcYAqjPwHiY54n3KMj8Gf/1KSal2QAyh6VWzCurjRMHgV7IMBhvKCwZGRVAZlfMGlz4JJpGG/9QXY2VXg3p79HIygs78i9768llgeBnhsu3CqIHES22ZgZ7xNTfXw2gB461vfupHRfy/28MMPy+/t27uy05FIRKoEBw4oZffv/d7v4T3veQ8++9nPClDwG9/4BqK9LdVzMRCg8iCNegO0zuztwI08AVw8E7BcGO6edX3U7sywd1k/LPn5G4zOqUfe0FE0Yf9zfceN2XJHxMK7ljf/th8Djv+rzvP7Dn52CRgeAA5+QLNT2biQivJUSaXrHPLWFwAPf1Izszw56zkOVXciQQS9nUz6Qga6HwaWHJOh78i4MPcaM6+mQ8XzXfSzF2aVVpjGdoMs3gZNhwWgI932TMcFIAePpX+2BtyIoItB2MO0zyCDm45+yZgU/2AWxtfl4hoMiBSvReWmAtrrLfT9QA6hnVRRbMHmQkrqwwXdVcs3CGyYlXFKouOQ4TzmdGiNhrZLjrtqxImajM/xGEkwMeoknAmG5Pfz/JCbn4hrPxBYKgH5lFQUxCbGXTZogYFnAcuf3XwceezJNknFy1v/rAsa5PllGX6K/PI+e4wCvyydPbPjGgmLlmDWFwFOixCDQkzIxkXnetgnY/slKGKrwgWmtapuPwM9VoLIJ0BMCemIyx1tYXEffAAoM2Bm3yKe1ENtzV4/qwsyAsiJEIIzQ10xqA0gG6/9SveaItiTAYKMcYaBsXFpl8loKfdV7gOOJzoRKH9feO35c/kMfHyeiRgnAhqwJ+t0ZLcDKw+pdDfbIvw+Vst8y7C65t7B7R1zPfM5To5UtG9PE/EqR0ol1xUrJX2KL8jkYMjJIH39FOzKMcWazKwAe7cpjkJPjr7fZxrk93FdkEvFAv0xlf0+siRBuiWtMFzLjud0egn2ih+HKX6055zKtwIPb84WcaIOsyWh9xXfS30UvmWhrrTnDKwCewKnBk5hfNDT39PT05taA49WDfhurFqtynvp/HuNn11hFU26iSFpHfDnezG2L/7xH/8Rn/vc57B//34Ui0UMDg4K+PAlL3kJXvSiF8lnn3WBAIOAzq/9iPztvf16gCX2z/xvfTLiqXKcrypHYhWWRxOUW3Wb7sriMuduLOzWVwPhDMzX3qmLAPEA+34cuI/ERFQRU7ERPPCh7qLN/uH8SnfGWUaSqpphRuM6DeAHAcz82jcogp+l46f0KxGODBdoL17LtI4OmLbrDUC0D+jPdhnOmCWWS07OmMpvtY2KgizEy8vKVNibKZPNLBWCN55AIuGhtd5EZOiki5XOlGXL7VEdn3OOX7IU0vvSCfOYMFvc0m2TmIUVnUd31veKUaz9/bSjXnaEK49WfxOQpT+OSRS4lnutlG5Dithm2ZUmAYe7OWbcY37WSWEXHrtEWBdWKiSyjEtU/aBD15MJTto41wLN+9W5FngMI5tJbYhgX7oeiPbMb0ejsDt2wRjXw5bHXNWH2A+ZBukBUfq2XtYAxD8NdFwShNFRhdWZ+XZy9Yn9e0aJqSQsqxCFNdgHVtFsW0T20MmVFJsh21AHUnE9HzxmPNZs75AaekiJjkzK4VnKBdj0+TDxeXXUK8tafWF/vOfrRYJ5aKQbqM3NwjDrkeshJ8qQMv5HDIE/xsos2Qdf8hqhU2c2LiOYrJaxhdO7kzxng0D8UqBxvY7bOfIiPucNuckcvtdVwTRYYGXgoJJ2+aOWvD4YACQy3akb4QzpLlMiXlSpKmcDCZzkeK0rVoDVQt5fPIc8nr7tfR1w70eAIo+rQ//zNYvu2MtoaBOY6oe976OCd5FL86HbBQdgP3cUIO/DnlS3KtBzoNlO8C9jr9pGO3cNIt9muimwM2x80Os66u8GI/CdjJ/BSYFarSZAQd8IKnysn0/yod///d/Hn//5n8uEwtOf/nS84hWvkHYDP/fee+/F61//evl8Vht+/MedoN/ZEgh8V2dpjqVPVwpkGZnQgByDAS5ULDdrabVTt2j93Z/J28IXJ2Da67DP+1ngvv+rs9o+CpvWW/YUARcudByLKnb7vMywmFX5cruyPa7CQE4Aww3pqbkTcUxj8CL/pgRyCDj0ga4+gQQBbUe5q/PvskVMwojSZ/bMJI5le+MWGfbuqRxYakkf1Q4lRMEuynZtw1UARLveOSNm1wSu+ZMHLC3zuInyIjNKjp5FlHRJdOyJbDeiZW8viYsKG8fd+q4lIyKxCSxh8/mIm/+uKriOToi9aH8awB0fIWJaXYUZHxA+AlNvwaY6wFyP0+R5I6jxZPP1I2gs89LZ8juJn8hltc/f3u9IZyzw4T+BfcZuGBIyEWxG5zvVp/iR1td0AoHz4m1HN9yrJ+9btSpaBwo0W9KWgWTkJMZZhyFsPB6B5bmmYyLYjkqFzPh5DLnNK0vq5CTQc+BAXwuh2ZAKjOzV7asIs6U0SHGe7mikGHv3JMC65+NAigGYatxvONJeO/Z1RbPnBmHiDptCYaWHKWVMdcgm7JjDddCYrbMF4B/j5SPq3DntQeS//x2sCPi9Uqk+MLtlts5xUw+GQQGpdzsNwUsYW1TxocqNsH6wsOt1Gy01aRUJcJE8BgQtttwsv8OjLBwHhif1/uI5GLkWsCc0sKtzBJCOvqDVAd8GBmBCrGrwWiT1dU6nAVpTwNr9j7ymZv8dCCVgO2U97X5gK7odm4+rZJac6CB4+BDllXmPeDBPG9JWHt/DJID3Is9hz/t9DE1o9uvo3PVReJcEYMFz0S644AL5TaKgyy67bMORHzt2bOO579V+9Vd/VUCIX/rSlwSg+GjWbDYFg/CHf/iHUo0gOPGsCQTYDpBKQE9rAD/yARUh4QLQNwq7cgL4t//lqrEOIb9QgSUnvajUuZJ2teem5g1Lh3KL67/nk8BKRYOBl71DFwNmRBQIkmzFpXy+X2eG1Ssm4hsdNXu/BBRx7IoO1i9LbZDI+JUFoY7r2Vn2bDn65xZa6c92n7bHF4A5srsANptQXvpcytGqepqZFlsw9TZC2xLAIaczwD47NQCE5z4qaGeZmpAPcvLMMY5BqaqcGXDlWilT8T2cB3ez0wQ6scwcCyF0ZV4ZDJ2GgWVmxsxdXuiz1cmXdHeCPPGUAKaTpHOk0XGy1cLZbkrWUkci6mH+hlXkfiCHKGmdy23Y614Lc+RTuhjT4XI8lO9jwOETBvncD/zWbz2s44UDacnczMiYjrj1GsF3e38CSJKUqAn079HgrXwYWPm37nlygjZSoeH0xJFFdNaa6JTr6NQsQrkwPFaiSP1Lqx2EvWinlv/5Xn43iXYYfRFhzu0biLtj5Wk2yrK0s6XrFzD02lGACHnuD8dRmdVmdwLXEQ+zAiy4+4KAUqED7AEz8rTSSd20H+Z5jrSGQFEnVmSP1dWB++9h9YHHkNcfKyBSuWFgk1RnLdMF1HfoV8IsmogbDWoLgaBAYgP8L+d+sh3QS6LD64NVltI33L3geAOILxDaald1ONk6fRqY8DpZuxVIkdSLEz9OJ6NZg62ytUQnzPFTVgUHlFZZJl0cDmfpbnfO04pByL8EuO0vtbrGFsj+osh5e5c7TQ3yjNVa2iYrMXBkFbCjQQCvOSpwEtC7d1THGflNrj0nQFeuL6GuyJds7wjVRz0ZSbW7fkBYRQM7t8QGLr/8cuzevRt/+Zd/ife/X6fP3ve+90nJ/qUvfelj+sx3vvOd6OMI7bcxOv8f/uEflh8GHt+LnfZAYFMA4P/7JJUuk5mA/YkPwxbngH9/kz4o4kIszbJ8r0x8JtlB+NoscP4LYI6fJC08dB2woAu/rVVgbvoDzQoSrrXQ4gRBzzVBp+mjtLGg38HFzVdho3wv+4xcAAg4u/b3VHXvq7/VDQyYJcuome+cLOx6tTumdDeVEJeBp4woZa0/vkejnDHbJOEIDEuhxCPIweC0gxEuIHseJVCbMHuZJVvtrXNEsNaBzaa1miAtEz9QcUp9LBOz3SHjaW70iuNufa6M5ZPnkMyHXAx0jjyUnMEfphwuHbUbLROn0j3O8n18XICC/oNK/4wJ9/mHS1i+TUWbBIpRssDOJMyBT6kcbL/LXAkG5PfQiZApkMRQEmNFBHhnLhwFkjp/K20QqVhQl35ZZ/jdMUfhy0DFjYVl36TbndgK9L8EeOi93d666NXTO4TRvmsZzTsKQhIT5XYTBM9gjAGY+1gxVgBOOGArUb88tmSg4/4ygOMtxjYTqy7M0F+Zgv3noxh63SUwq3Na6clnHb+/Be7/K52tv+RNGnTKeYjCsLVBeWSWvIWlkPvFbJVOsKPaEr1tJI7DMSDzTUZp3UihgEbozIbUQfqgQ7mvtgGxB9QBs+TEykqBtMKsmFDEh20KV/1hSZ6Bw8Z38Nj0BuMMODk+WXdjeI6syjdWG8jl0JrXCRr+Lfde1ZX8KYilY7gbeiE+WHjthOp9TM8B/SehrVkt4oVV5pQOnUQIhnTVzxiWtiGqXTCjBJ1kr6TzJr2ybLdjxSxVZLvY5rKVtlbpGHTLk6yi8QJ2o8G+Ocpl42OMAjtrWgPfrRHg9/GPfxyLizriSkAhRwFf97rX4RnPeIastyQbevGLXyzjghxx/OIXv4i//uu/fsyTAd8pCDjZ0kK4dpYFAt+Nmf5J+en80DuAb/ymPkYaUd6cIvShJXHDteSuT8O6XrTxM/KjrlRJc2hkghAJyBPk/rSeVDuagqEjYpmzU+/pG3eAC34BePBvNRhgGdbnqbbqKKl/Lo/19fTt2eOdW4b91hK850/A5BKw8y0FABo6Ul+5j6p9PVfkQgF264Ao8klGHg/DEg8gVMnsxbMywLl9Kgj6fXanBsd9ZsJXd20TAgG5XQSkkb6XJVqfZ10WSncnkTqVqof+MfcrMPxhlkWMA50oF2w6f/aP2ToRngSnksjF/eSsj31fEhX5losg/6x+gNMPfDkFmnwH4rOxiY47sytWKAgIdeX1h48I5sA+4yqVFva3NeRed5iIXastAX/cjA51dMyV8G8HDv1T9zuYFdMJr60pQRQJZBbqaBVOwgrIuewFB1rggeOwV/4EDD7inheBCGBMJXrNRp9fyayk2uBZmBeOwTSXNeDidAorAXVX7fCrULz29vyKAuiO/X1X2IrTGEJ41ZBA0fKH1/9iVasoeSf+5BMX+cZzLueyBQyM6jbRsdc10xUHT1BhaF1HBCV4qygfAHEDtEy/BuNx5zDZHqisABH/muE2xkUJFCknU9ziZzIICQHTD3TpqX2gJo+9Oz6bjNVALma+oiGrVL4SogRCnNJwVZK7bgd2bhchKPvQw4DnWCUbrk1w9RuBu/5CHyPo9LDbZ15PviQ1Bbmkl2ZhCRY90VReDwYFpFVedVUSjtYKyRYTB2IeNgPVBIDIe+DqtwbVgCepjYyM4NJLL5W/n/e85208Trpg3572tKfh4MGD+MIXviB4AVYHyBXweGgUJJNJ7N27V/5NMiJOI5wqIdFZEwj45o1dBnvVG4Gb36Gug6NpgrymQyXBDhcNpd6lk7VEz89WYK7KA/0EirWAb/wJ7BU/A9z9AQEfssS6cSuTyIeEOeMvgln+Z3lIsndmFVGe6JNWLK5ppAL+3FvEGTbuLiP+/NGeDQ5pOfGqHolfruVkIlvrAD/4SpjKVx3BCuffU6pEx8VGCGF6MAgC9KPDeJRSGCskI11GPsOqgJR/jZL2pKLK+d+f6vL1bwiwEL2f1PI6CXyYzfD76RhcJraBkRfFtpUuoI0Olxkpszd/HI0VBjpwZuXCMVAW7gDkfTS3+zTZZi7A/ByHVdj3emD+Ez2iOq5M4wcXO0aBBylGtaCKhWkXKRNdLmI57nX8WxwNqXx3dPvks6wKcfUmCM1lcwJG9WCPzcFSZfHAClBqiyQAv7f0cEl8WrPSQXYgjDD5F1jp4Xd89r3ALhd9kycgPwCUnOMkOt8HoHKzEpRSXtdxU9oGhqAJDNFxUnTppcDsJ4ED79HXnPff9Xiy0gIXbMkIoHI0yGctuhaPj0MRoiFXHeH+j24HFjiZYxXTwfI6z+2m7D0GE05s1jgoLHRn9N11JYFJlaN5zIiJLWD27RgUZdPCsKmLgPKd+vF8Dc9d3QEdea3QwbbJU+BEgAREeFLwyO0TxkLiaYgX4ESFYlU2tBocEZdci5xoINh1uqD8HWQG9D+ruQJMcjSsIxMIyOZhGfjd+SCw4j4jEdL+P88reRR4/Z+gemMVoGJnr7Ovu7VmwHFq9IJEycdxxU/BDD9l8/4EduaKDnnf23sZBPiBwLezgYEBvPKVr8TjZez/k6Fw165dAgZ84xvfKMyGpC4+1UDgjKcYflQbPF9LuAQ/kRGN87x3rAN3FkW4xyaNc6Ye8Ow3AfN12K8vAjtftXFDm7s+0AX6Hejpp5RbsCzX3vpPki1YBhUyT8+S8xxw0ZuAi98Mu9yAXWnAXvATUjImQpsXVOwZOXQWyNbXBsaf4xbPjsoFC2K6h9CG40wrNzhn29F+JB3JUAoYScNQn4DZfsf98IIfTjgaUy6Gj3IBS/UgLtgCw1L21W8ABpLdKkWv/K5PtkS63F5ud24zo1vJTN1jBLyVy/LTFaOxsMsFWFwAzKwCM2uw/oQAjRK9LAX7JEUUQeJnjsZhSJ08/Chzs/f8vZMl7qFe7q0w8P1bB2FY+eBzlIzmz/oKbKEi4kwi60swIp1Mb4ls7EUO5Z7S1gjZAJNsBXjoPDwD++UZ4Jtz8FYaiEzFJKjkOW3XrOAE+i5IIcTJi41xOB4bC3uiomN5dEws34tRJpr0yqyA5IHREc7+OLpbh4Qn+JHOkPgA/rANw953r9WWdSae/XBWD6S8rgqIDvnWpSkeTjsiohHVGeBPf77rzHkcj84o2HONxEs91w9bLwwQWmxr1LSsTlxAcQ2WqoQE+HH7ZdaSwNMGUFl1baI0TDQlQYAEHo2D7hC46RkZ6aNGhJPMPk6WPk8nS8jUyIqNCDCt6/Hjb75HyLUYdDoSH94nglcgNoGjulFgJA9MjjrCJzfCyXslloAlaJb/u/dD+nncHgYVnEoQcaWe48xjTwZEd1RMjsybIdgc2Uo3E01tYFSYaPA+93vUvB/Jajq055HXdWDfN/MP/6n8nA32yU9+Em9605tEw4A6BX/2ZwqMfzzsrKsIiJWa6Nw4DXNeVvXhRabWqmO5+udgJrYDXhwmPw4zvAWd3xkGPv/rwO0f0myaGYNTIrRLFaDQhj1Wg9meUgXAI+Tb78DkouhQd5yysSTzKb5Ls9cXvxd44R8AX/wt4M4PKnCIjlkyYqL1CXDqAA9+Bkg4gZKp5wGHdN6dTpCkP7IQrZVgB1LaU2RGzjIxAw9pdbj95WfRnEOUqgf/eeVrgNv/WfGILP+z+sDP8Ykp2Fue+zcF1IksbENBUAwCemfEmQEdnAe2EglPaWA6hgZsS9kLN0CaPSyOgqjn4p2KwH7jM/B2uc+iUp+gyp2jZDmbZeo9WSUw4vHnBw4lFaQllZBQl/iJSn6shIiDoVaEk2rm1Af77r5OgdsWW61rwWCtBnvrgjhJBkD2uu1KAOWPNHKnFj6rVQfx33Q0dVhS2bJ90kuuRB/GQOWiNCr3V5B5/ahkgaFcRH3HcQJZLbA7A7h4iSyENk5lvmIPeDQK7N2j4DcC8thT5LawKkUHRmNgWKwAIw7DEB8ELv5dlWBmmb3isnK2FRgYHnNiTpP9QKmh47S85taawLjS3m5a10gONDABO74DOPiQntvwdi2bs0qQI8CSbSFta0nZn9k321Y0CV7J8cBx1w7MxA6n1cESOMGIHDfMwkpFga2NFowXgvXY1lG9A9Oq6nGLJ2DXV2Am41rJ4QQB1SbXDwPbp4C+bHdskA677EiBeB7pxHk9iUpotfs4g53j0xJACyD2ki1y3ZhMH+ynbwMmYzCcvuCI5Y7z9GTNHYTJZGCfej4wR1Dmsl6jgr8Jb9w/lq2bkysVPCQcIWRQzqA76qFzZU4DW//I/2cKoYEFdgpWLpcl8/c8T8YIf/Inf1JaA71iRudWIMCRp9WG0n0eIwsgKU/DMDUP5tLniPPvNTM8QWoi/YfgCQxw9X8FvvwXyiLHgIJ+me0ElmmXNeNtrjbQvHEd4bEEwuenBTVO5LwpzMJkRpVrnE6l3thwzjSVv+U3OqfH7zzsmAtPNjr5Qg12UMcIZcFl5XrPy4EDH3ekQCyje8DFrwFSE8Ct75T+sFn4DKzwzHPMzqkO+sgX/uaMvzDxtRV4J06oJ7uR0UgSAYV0ZIrml+K5HYfKOoY4FtdAxy/R+6qDG/JrJ9EWslKQHwUOHNapgwzbEuxnJwWAyYkLeZl8nyon2uEoDGfQRRvA3wetpqh5wMyyBjOTw1qpOUraaSo0ktK3BexKoXNrAV7SwKMc73JFHQUzSPcRUmFJUgHPws7NAIeYGUP47W3MYTUu7gfG++XlqasNPM7tS8+cAaEHc5Gjv6URpyLHko6rLaKE4iRkKsXhExgjsfKwYx9wz106a+8b2yaiBsksPwXMfQgYeR0QzcHEhvV7hY+Ax6EHlbbmRImSYdh719EqNBEeTeg+Et1PIiI6TJbiF8nklwC2b3PnmORYW4H5oxsKkxuz+jIqSQKpMpAd0ZZENA5LHAuR+MQD5HYpAHD5QScVPQOkRrv9e9J7u/uNbTXL0UNm8mG2otyoK4/R/8/ed8BHdlXnf3eqRhr1rpW0vXvdO65gY5veIcQBkgAOEBI6BEIIEBL+lBAwJhTTe0kIGGOwjcEBF9z79iqtetfMSKMp9//7zrl35km2idemeHfn/CyvNJp5896bp3fOPecrtKpmF0yKDWfIJeH0BhDo1AneIrPYayLI6uHfLQG83P+hSdh9BwBCY8azsBvZQQqcO2FP5JXxUReBjTYAnecAcw/oBsUfgn/TYdjrBtVJ8MR6KQaL900j31cGPEZXJGB4TYvXgoUdIXbj4U50lThyRgN/qjj11FMX4QyuvPJKvPa1r0VXV9dRWgjI7JWJIFPWI3/ue2CWH/ewIoBBkCH+/CsKdLrGiRXRFUxyjALx5EaUyinAzsXsr6Zg5guInU1RISZHucvBfv9twMXv1Cc5OqOo4rFly9UlxXvqvF5BIEmSXs734crWLxp4U3TdBMul/QRbs5y5f6eMPKb1LqltHCMkn19WTWQBQFAkRxl87xYnEMSb6OysshaIiG50RUCgWJEIKtNt6IZxVKjSedvYIhr0pTuu02fXVVtBVn5FKjmuXIJoZfIYHyyBFC1XjrWO086nDowry4PdBCaGagPT1OSEboJqNfR+d7oOVGac+b4kUTHpSU+plW9TApjiClb/oMMvXQu7t2zWo06AgeAqNOVWmgGbW4nmCNBWJ8JL3hTJ8LNJzyjQj/PgBprkBIopSWrUFnCcdNfNsGwRczXJjgPb3b0XAKFRYO0qYLqMWkcnQYyuUGNbnfu05zMqlrTi1Qq0E2VDmjKNwbbT+6DgCigt3iwLYf49+MLUf15M6MbpE3jUvRyUK1DFSIqjjAJAy28GuftyzVGsh9udBWIdrnvDLgrZA1Wa1BPNCurjXJ0y4BGqF/qbKgG0vnvjnBwP7IXp1CQpBS+psa2t7rMIanuQ3jm1+O+dIlHVLbp/PK/cb9ICSX0lCJaFjkhczwFtVcrcGHOfE+tXXmdbH1DfAypLMvi5zM8rCHXfL4GWdliOkmqbgYG9ygigeNR8AcWbJmCOTQr2JhhqU52GTca0K3DRm2GaF0vVVuIPHH6e80RefxgEPQqCQUlishN+H3FYFgJM9qH3/RDFgX65qYW6lsG09j4m1oF96ddKFEV76eKTaAf7gf9Hb3r9eXbaorErirAoGXppWS5qisD1/wbQXIcr3ukCDFcN1JYhV1wQ7zQVcghvt8K15NjzXz7OpMy5pCQjCyOWv24FyeDilM8JVqtcVe3+jlqmynNUdEiojUz2pMFRXlVW7rKj5VUWEyDn9F5+NVkLu2tIneA29cIQrS9gO38yXKFRWvW7QmDVpcBd/6lJIUZwZlHR6zw3bMu7t12kvLaUSSV0Na6AmSxZYC1JyH4XJiYUN8Hv9/y3WkNLu59UvE6gUVe8LAwE3EUPBD6n1YEg5c0fYcPu8+AxWwI5CfZ8YApmfT1MIgZseiUw9D/63GPeBCxXgyuz++tOmS5QCJDGyALM7/OD+7SF3doE0GmQny+T2rYfqn8Bxzc0MmKCb1sPDD2oL5wcBRpbdbd5zDzGke+4jTqcxNCoFodir8DPgyyZMMLHNcp0SAR9wu4z9tiISBwm2QHLfV5wIEbjWvrsNFD7gNtqdAqU3FKcCpjUqCgEOgXOy4FCP6P3A9W05iYmIeAHITtPNgI/M1dALnA7pGvWAFtOAob26Ohoqd6DFPdOoIsYl4YWd81ScpnCPQQEusKOol9CJiArZF4xEVzFs1NFtUG+ey/1we51IlrUj9Xi0PLvmBTMlkYYsh4mHdtiIqP6HuzeEcDJ4yUD40RlSJhO4mx0fBD65aiIl83NFVBHCiELCRa/tVHF5VTiiKYPPlmiWCxifHxczIuCQSpjUNHwiC0EfDEQfoTV///5uoBGgXQKgkGgoTXIjWcxsyOD3qc4mtTBLHBsVXlWz+TBdvbBWeB2JwB0fgvMaFZRw8MLsFtnYY6vK88amaAcPkksgRcM7LX9CJ3v2ohsn7Ko8JFnV8BZBvtWOZMd8QOlA+CqL66jER9yk9TnFO8ck9Va6CRPZyTugFK29G6PAxf+FXD3J2E4v87QNvf1wO2f1Nef80FVbtv6KTeX97rsxwGn/ROQGQS2fcG1hl0BQXU3UThcnNypeGeC7sEU0aFOLbn7pNdxpc2V/8wcLFehLGp4prgq5uqeM/WT1uvzp5w9rc/xvkAhzoAtd56rlb1lqVkmB7bdWeQwsYhevRNFYlFBAN54GmZlvdL5uC3y60dcMiiEgF9/XJNDb5v+fssbgIHv6WfGmbJnBvC9uTIlOJNFXt0KoOXpwPav6+9v3y3HYk9fDUPjoMUY/bKRUJGfZ7F8lyI2gEYmlOWtSygmIBqHZfGW0Ta1MGf6Cd4DbENzafzi/8LZurbsOFCJT9r/5P8XyjoABx7SBN2zURO54AACQZMhoZgOO+EdZTAEsPTOYfAR7qqeoeDrUxlpLNHir6f0MVfgI84NknN4R9HjOMLvzyS7STnFpzSodbDiCVIOYxB4W+oozGdUrTO4n2S47B6EJViXXTF2AvkrFrL8G5ugfgHHFmGYFcTU8DxRDKwI0xBBviaCsf4FLDuDNEugkMojElPlUoTctVWJSvyBggqDr3vd6/CNb3xDvl8aX//6149AieE/YpiO5cCbLkf27/4KBaKBH/WJjtdMYGGwiGDfsWBRcI/LyeVdgTLAW54HbFelONEvZ5Kn+A/DaeuXQiRgF4B6rqjysC012g7n0nrVSxwP3gLr/gzY76h2wdc6jnZoM1vCgWRD/2veWN2tynRsAS78LJAZBqrbNPd47fuqVmB6u3OzY8FRBax/s4LKbvlnJ8rDFVKgUyIQAo4gKPdqgb3TWhQsq4Gl2x5V/hgb/wLY7bj8wWASYTLZNwUsry/TOZkIBcTFJNuhyUwSJo1kGoRBwrY50vOwNYlykmew8BkZU5Q4k5djSsh+7pgEmjkG4HGEgc4WfR2TPIulNW8AwgHBHF8MseBgws/5n6NqVz37G5iTmoH684DJ67Vj85AqW6LjIiD/Tb12lj0XSF8PjO/U46puBqYo2sMVcBhouhAoZIDUbboNbr+rTWfkvktEOmuRNsYJxRFwRDOccRx7qhi6z4SodyZXPofYGjIb6toW6fdLtHD7M7CpKcWRJOimOagrdO4zXQP5uTLijUoT9PQ9HwQFUqZbkPvOF0KuP2c3PD2ip5DHxO4FX8+io3m16EBYFhiiScCCiPRHtfrGHIttN3aZnIQVJgrNo9q1GKF+B88RZZmnR3T0JmZLbvwlHQg3uuHfnNQq/Lko7f/iRB5zPxtGDf9eGE1RmDXlooL2w5jKqlDXXB5VXVXo7uQ1rr+PbEwCE/PKVul6+I25En/YENDmE8EImMOrdKMmwY033ojvfve7JfDg73JRfCxRKQQCYSf7EFrWjOR/fhlV+wew8NUPwlQZRDfWClBo7jcTqDqmFqGOGtiqOFIPTZQVgrMFmK5q5A9OYvIBXb00rkwgQslRxl3f11UFVzlpzkBVBbB41UGYs1ukS8CLWW7fs8ob53uaBFdndIlzq1XZUZes9/5AQWpsd3L1wxUwGRR8mqzIXTLw9Cwv+bv5r4G6lXqzZtu11s1M2W146r8AVW0A7WV/8xH3fpRObQFGHtAETto93RbTeZg6UqziQO/zgF0/AqbngS6HwPZqiENzMMe36/73PB+4g50EX/gwySyUnep4fujrzlYzb+JrO4FmzqiZ3EbV/InaBZzvClYgpYBA8sSLBmZ8uDz/9zRHYh+EkuYa1nLTcJryYwXYE1ZpoSXASy8c5MYqoTRw8QdlpSc/7/400PdNZVf4MQzb6TO/dj1GUtcatLDwPUcWjQ9+H6YzAXvsK4HfXgkc44B7oqFABcXVQM7R5mZ/A0wMKahx+EAZ4EaTLJ4fket1HYPJCVVyTBj9HJaq2tWfDWRucYA837mIOWofuw3E2bDQoq4FaYJ7RarbnOBW4DLmcp2xzLiOp7zjZKQKNj1YHgNI8hYgjGAIxAQsyDYhZkFMu/h7drJolqFgRSkCcg4cyCRO9T9HN5Rzwvdk4bl+E8yendoJm1cny9zeSUQaIoILkE4MpY/leqqVokE+huYE7BBpshTHUkCqaW5A/v4BLbozgaL+kWSQybzJzJXZLdzn1Qn1HCA+h8wjFhn3/hNsz7Ew7U9cPKYSh6XC8B886GHwlre8RaSEf19RKQQCRYD92p/L9zJ2f8U3gVN+LD8XxwaQftNfw85kgVMUcc4xQfKkBmCru3ntmYMlsEzAYw6wd2ABaEuo+iF1AriKca67hnP1CzvkZmlqnWeBvBlXrO5GxJY428zEG/A9178GuPNTToXQJQOvjMeE6Fug0p61ZXGZlla9uTq9dOz7XnmGLDLBbuZNJz3yydddJhgIIulLN8XhMWDky3JDFM8CFisETpLex1b1nh/qKpsz1oEUcMG7YM7ZoInGZoA99HQoADO/1ATOLkldg1IY9zveeYkaqatQQ0tnms1wdVxKfOOl4+N+BNka8sHVNrgxC8GS1Khf0CItbkQsSGKcOg+UQS5Iq90Qr0B8BhMoiwwecsvFQB91wjmOccmq5uLymEbOs0+4jvrX9lxg8Af61fp8YPsXtYsx450WCzB935P8a+/fC5x+KUxsj+IlOMKoPR+Yva3cb19kjOWeU1Ovq3Mm0ICyooAolzkjKI4xfMtw3385W2ZaUzt0MXn54qyZcJ4ANNiiIFNO4SXJQNven3e5zihN3SJJ2bLdz/2k8yAZBBLEEKj8NvdRCjmyNzyNlAVYE/mWBCq6TktiCzBxox5PlXcDVTXNRw1iMujkWLTIX7cXMzeOoekNK2X/LeWnA09d9H13A+xkWotM1icc6cyxgE/AFtzfBgGCvFYmsy7pq36HFOaU9iaeoFu7MoYsDTnHKekIFvg3PFdE4babEHt2pRCoxB8mVq9ejf7+/t/rNiuFwO8Iz0AgFqH6E18Ern4nQnT6I02pb06ZAkHTlZF5hDfXorE3CTw4izCTfbqAwm9omAKEn9YC08UWNWehOYS8F3swmNi4YhH5YsczZ7A4EJCa+BsD6/4SuPtzesP07XwfXobYz1hluwQUNjlKG2/cZaEd4Z5zV7hSo+3uHZ/UxMdWJx+vdjdX4XCzW+G2z5v+rJou2dYadXhk25xJvHUzTLJMa7E1b9PEyv048/1aFOz/gtIXl6/WZCHvP+lm5a5UZ7fASb+WtfK5unRAy6UtQSLhd+wW+ptl77YvJcVJkXLGk65Q6q1SNgDVHZ9yLjCxSx9nAqO/AxPa2E8XoRxFKOm6DwNnrXu40FHn84Bos3ZYfO72Ak1UcyRmgfQ7Kg62tgBtIeCBfcANX4Q951TxhFCa6e36OU8NOjyDo9SJrr0D12WmtSDwWvz8ngWV+EXwfLDDwlW705OQrgZNj5yxEJNznzvenjUq9MOVPDs0BGCmUrq+n5qEoY4Dk7OMEVghOMOfZDcMNQKyel0LUFSkpV1hKtfqjO4PP68De/V9VqzSrkDQ6pkKhHKxB8WNFiTRo6ntkVfoFMCaywja32xoQOGHg5j6dj8a/2a1nof2Dr32G1phhwdh2EnSN9FCds4V0iNTCNWHEWqMofrFy1DYl0JoJdUSWZuRdpkFaBzVUQc7PKOAYBaQ/LyCf/cc83E6sz2DKop9XfEBLLT2Inb6WYv3uxJ/kDha6IM+LrvsMpx//vno7u7GOeec8zBgYEdHx5HrNfCHDtPYA7ALwNVItFp/DkRk8+ko1n0cuPpdJSAXmQSWiZ0WyTQlEde8ECK1Udh6nlquiDwaO7A8YQtebm6Oa81Z/87vadIXYJKTXCUNkclp1auBez4D3PsZff0Jb9KVGO8+sqKnQyCTo/s4qSmw6XXAXZ8CKG5Uor0Tbf8MYM//wO4fgb3ugL4fb94v3lRiCAgF7BkfgeUo4LavinCNgK+tgeGximRsEehKKF2ypF1AMyQDnPZ+zRvpgZLeuqnbBLv2XU4nvxU2S/5+UbsUosjmVPGk+HHCQb2XAJM3a4Lm3JorNLciLxwcw9zP+lHzVHLdC+pTTxU9Bil699xX0iCgdGxxZB4h3zKXFWkE2PIsmGgZfCjPb3gKMEbDKq6MTwUmbtYEIA8UYW/fA1z8dzDpX7jHSBH8udLsfFC+duTzwJa3AYVZYPB7iinoOh+Y/I3r+rBIiMBQl591GUcNUbdCX/4KID8LjPxE1Q/lgB/B+6CxHZgd19fwmNgNWJjXgoPniQk3qAI5NiBUwtJtT2byROTTr4OFUlnARyh1pOAhBdOaVwAl948xvRu2fjUMZX15/BwP1C1z59AVIWKK5LYnxxvEwJCS51QJKZrE6yCxTn0geF6ofMh/KSPN60JwKO5xMmMChUSkLY6md20MjJocaJMmTcRUbN2roMrWpP59ct8aqoDBSW08cYXPOpniYTMUbnLbYLInDZG+I+LSyC4fi1wWeBagFTiLdkpnN0RQYLfJF/YVPaE/bvCW8ESQ/yEcdmwB4hre8IY3POLvK2DBJxhLk//Dfl/VBnvuexXBnGyRmbUhopwXElfrbPtzTnj+a2Du/JJyu2MG4XOaRZTEEKVM7XLG8S8A9vwEeUoVX/sF0a+XVjznvNGwgqC82p3vCvjY6nToiQOQm44rKjhKoM87Eyrbx17dj3bDTNYUiZlWwCJ6Xg4MqXmTBG/cp/ytbjOqycds/w5QH0dxeB749ShsTRg4n6BCmvowIdAIhrr2pFe6JMvEQEbBHf+iP557ebkYYAEwPyJfmNvrDGfmdT+5ApS5vtoey3YedPuaYcu3CLQ1wDjXw3BNCMkXasem0DeG8MpOleFl65zKdse9Arj/q0BXEmY4hVBPFTDkdeXprVADjPwStnod0EYTICbDBWD4urK+wNiNwP/ugn3Ze2DaqoHs53Wfczc7pz2GA8d5OhyTqhdB4nMH/8uB+7j6vQ0YnlALa76MSWi7G4usX+26CEVg32f0teTI++CKmhsR+iQzoDNVYpLi50q8guAHqDMwX1bfY0xNSkJVSn/xkXlTweTFJMoC79pt+qunGxgWAsEn52dLZaMk+VlSeXktJIBsSgsEP+IKx9TwanpCbaF9N4nXGoGNPKb0g86jIbA64/nwx1Fy0OSqnKOi8g5HaL3MYtGP5GQXqelBHEkEWEF8ihMd4pgmrCJXIAgwb1EcycBkXBHOa53b81Lk/lTx+uZHEA6hSLtn/mycjXHYIJyMoPa57cjeN4PQRW+odAMq8QeLyy+/XIyMrrvuukcEC7Z6bY5DiEpH4DGGHT0A+68vLP1s3v1fMKtOhV15HOzkAPCVtwB1TIZh4GbOll17m8/lKjrn5uf+5rjtx8hN5zD5WTWDaXz9CkSFVude49937cth7v/84p2RmxoTfAChTCDVsa8C+v9Lb4b3fUHff+OlwM5vO+BDQKyn3q3gfGx4JXD/f+p+UybYr6aJ2O86D9Z+H4bKeQ85JkB3QilquzlbtrAvfZYoHUp2uO+zrqW9+AKVAmCbFgjofkl5lc0WrxQQaSfz6vT8i0S5SzWjSSyXh+VFPzgJQ139gNstZlOy0pQWPlds+27XZMFWfzEK0xES3XihiBGT4c6jvfYBxTLw3JPrzpiZcE2fPFBTBZO5HiCmjmONpaTjjhfrDqSc7XXN+bDNDphI5oUfIbAbkWwANups3OzbBTufhZ2dU/MgEZmybpyj7pKLQv7YXdtfDIzWAOM3A8NDQNcyLWLYAufrqGIYLAQ4lx8dUTW9wrBiRlhQMVkO9+uoSIR5mpRRwcKCl0q1E6tiMZmlbbQr9mgkRCZCaWTgigGuypl8Xd1jtw0BY7NyzFKqegVBjlAEzEqZ4vASESmUE75f+QtrxVsUF7XzkadMsaM00k7bdw44DnHbM8kE7GoWoU7fYiYNUyjqNeRGYr7zNr93VnI/lQJlLJbJKx3Yu2F6SWuhlFrYm0eA5dVKMwxICsdPqIe5mJ4WlfijRUlg7Qm8/jCKgYEBvPGNb8QFF1zwe9tmpRB4nGFHBkTEqGSP/Kp/B37+bpfofds/sMziTXQL5/pfLN9YuIIX5GAYOOlvYXe6mf/m5wL3flcLB6oMcpt82hnv0RXXvf+qSPjg/sznYO75KuwJfyPtXnPf5Qqo2/YNbflzu5xv0mqYILvNBubyq3U1yQRIbYR9gQ3KSDgH9BPs9TOYDiLkiREoaht0OoeIFDhuP3b/GDYRgfGzYh7T8W9Ud8h5h+SX1aP3lc84oJp2NnhzNsEenVeDI8DOH+NDozou4Yo+YG4kN+f8tJ7uXcM6QmBC4NfmtcAmcvgfgDHsYDjLW5pSbV4NsyoBM0ewFxUhXYGw4lIg2gRDKhqBYSlnYb3pzU7o55uBExXVRO522nIm/vN/0B+f/m5NyDJKYUIOiCmQ/VAYB+qdedDYiBZqXT2akLlS5ucuK31eP8R4XAiMstjKA6O/0SKD9El5a7ayVwLDO8sCPZkUrHRqaMI1D1Q53T/qMcjlSTe+JJClZr+OWOwd9wE9ZD0AOLlLFSBF1tRd1yK/qyh+AQPSX4FeCmQkiHNfTq2LGRn6JTh9ATJWiGXga5ytNBrbVP45nRY3QDmNHgvBa4OfBztE/oIQvEoNMOFGBwKONUDvCmDEeSWIUyOBkASxhmF4fgYP6j50kno6pwXn6CzsVB7moKqTxuNhZHanETueFFsq1ADoqlanQY67+ACL71gUptbAshlFESEWeC1R7S6wIDjcIOhHQhxlo4ENGzZg7969v9dtVgqBxxhM+vbVl8P+2+t0sd/kKHcuQitPhX2ZUyoMmvMsZGDnpsWbQEB19361RP+LNETR+MpuWf1E4vM6b2fkIgAZCpz530bkuQK+LGIwTJoDbvbK1Tq57Hy/+hgsV2XXf1xxdc3VcuOXVXKuoF7rkQCw8Lp/AJ7/ZZhOZkmCw/ph174aJjsKbPumCMhhJq9OhwKu4s3RYPKeDELkqxNueGojIq99D/Dgf4qmO0wW9il/DjN0jaLE+78NENzqV5JrXq83YsboT3WFTfDY/t2aoCg5K/kpCwzOwu5ROdliC53r1OFRhJzyBFTStpgGTyGAxlGU3iV1kj93kpamALySyGI9E4OVNq68BxMgfSOYqGXVHvgwx67Wf/2qvOevpTCQ5FWYA5pepslh+LviDWCrm2DEs5hdg4wmPK4yUj9XeWAmiME+IL1XV/bt3ZLohb8s2gnswswD3WSkuNY2z5kAL3mxOZri1C+BhjOBsV/q70XAR8wNgKaV2klhIvWzec+o2NOvq/aGxjJ4MCh97dkP3CZFre7cD2zpgGGXqb7NcftZBBK30F8endDw6IRTxcBrkQKlD1pMN7bAFtSISM4JMQy8XomZoOpgnNgIC8NkTaEgXjfLaRgVc6MiFngsJtzfBt0KXSg1kB2kqIx3pKsyPea0A/LOQKuoOAtiTPh5pmYFd2OJg6ijB0hgNX96o15nNBHz75GkIVgEqD0WKOxStgIPs1k9QUoCX2T20O774o88XKisEn/YOMo6AhdccAEuuugitLW14bzzznsYWJA6AvX1i8W1/q+oFAKHEKHNp8N+VKVnTafSg+zsQf25dtmj3gCCl5k94w3AHZc773jew5wa3jWfA5oc0v9XX9abn/iYEIntkv2v3uvaxs65kBfwU98G3PIfCkoUn3cHThSEv1NRS0RUMZizzeCOTe6Tm7gdfgC44aO6ImypguEqn0UGAVKUxGUXvqlKknJ9Ywyz383IPodef7k6Pt4asC/+zbdlFWqe+jfA+DWu3e3Q/ZM7A/r+bk+4fb8/bPvyeVTQ48qTgMSiReoHA8hOF1B1Uh0S7VGEu6pgx+adkVFYLYdpQEUAYG0ChitqBjX9+w7o9nksPRcBu67TlRwVGPtcVc1VJlfQtQ4jMjugFMSS9D154vuAWz9QPndnffgR9YtN/g6Ysy5QsR1eG6ITUAOs3ATsfcgxNpyCIJPetNI+RVGRxcHEhCZ3JmcmMhYrybaADPYvyqC0VEpkqU1bBzBxwLXEl/hF8JHNm4W9IMmaGAbuG82OfCuduAofx66QWX2JMJFwYwYWryyCmluAeI1ep7t2Anf8FlizHKDeBd8hmwO2H9DEm10QR0ZRbGQy9kWCZ374gplumK7DI/bSU+OuCAqMBHi+ZrzFc+AKYtdkiIUOpYEDssVc9Tc6QC3xHJNj2i1gh4QCVI6FUhzNYv76URkhVZ/Q8DA8jjn5H4GadmBqO3Bwf/l9qUEhf6N6CxXX0md8FKFlJz3smqhEJX6f8ZGPfARDQ0NiSfxIUQEL/oHCpgbkX9LhfAEgj/NG/7O/0e8v/qwUA78rintvB67/hNoG+zjxFUCiFej/CDDL+SfR3o67vvpiYP+1OrOcL6hbW9LI7FNf+0bhdevMk5StQB4gV57zS/6KN/6YIv2LpoiQE0Wxv3gfwG35dioCrxcFuyIMQVX+eKey4sCYPK5WtmXMJHAzfQeoPsgVLCtztumLwL1fcYZMrhXPufyEU9nzSnZsf9M8pr1RTXd6XgJ79xWqBU9p5fYYcoPzosczuB+IDc9i9dlVAN0Q/Y56sxpiMEjVW7+i3HVge5jaCD4mblWJXs/rLx2YB7WRRkfRunNgCr8BIkyceWDHp1RnIBgmDnT+hX5Lxb2UZxFoF0GU8tpfDBSmgdlbdWXf0VteWQugk54EjbDD4zo/H3Mt9fY2oOeZQNGB9TwtT36ggyQd7pJAxzJgzAsosSPjRjLScqfE8pwWWix0vGiTHCdX+mznE2AXdt2FBRkTmdqESOuK8A+D29lzv37f21tu3Ysypbv2ggC9vn3AtEvY4ro5BiSrYLc4OWB/vslQkCplXIUwF5/dsvaBL+jc2MbSvpjjLHmNc6ekjDB/WUegbVzdQNmJEfChi4UFZdUSGxGIUCyCqtMbUGyMiSKoUBJTeYROfSXQfiyQ7ICJtwKJDn2PpgEgPKCiTNvIaJkHNrwapuV4GM+cqMQfN46y0cAVV1yBj33sY4/6e3oNHGpUOgKPpQj45WX6/Un/DCTaHpldkBnRFmmAO79oO+N9wDfeoomigYAmd/Vd9wVdxa+uB/bOAFMBjfgHyWXnS3LqcMbtvPqtsHfTOMkifNen9bljVGVjEgisZriip7mMzMsjwJBTihumLatDo7u7r/D/aWR0yt8rkOuOz0gL/RFZUNURhM9sBu6eAqYHZUZqO2uB9ZfC7PyaotLFqI7jCJ3xl0UIltzuueIj5Y8tW448KALkCxIeT6qAaG0Uyac0ANuVs87RQOE3kwjR076rCibi2vdNLkEFOepC53Rts5QDIpZa14F9oV0z7XJ33An7423aDXjNWdq6HxvShOnxDKUPNAuMXqXftv9Z2XY3cjJw28c0ia1xc+uW56rhT/rHuuLkCnt0RLEN/KBlv1yXhytg7vPgtUC7KxwErDdVdhScmFFlRdG6WKZGQAzO6qWYIShvVlfe3G8WHjwXdScAk3fpqpjFqE+0ZFskGhR/IiwQajSwfZ98OGNFrqGDmoCF1UCRHc7IJ+Qzz903gmImJ9IEUX8BUbu/aRjo7tDih/RKvlYYLWkZA9ieXpWgJuiROgHsnPA80GGQPxNTwVEA1/JDM0BzUo2m0vPCtpGaguyYWAxmakbcLhdFVRUMC08WMp6iSj2M+hBCtdUI8RhoBsZi4ZjnAZ2rgYEv6We65t1SDJjOc3VbBT33tulF+hnULB4TVuKPHEfZaGBiYgIrV658xN9NT09j27ZtOP744w9pm5VC4P8KKqO5sFe9U1Dn9gXaAmQHgJ0AFgG4XdvG9rwrHrUYkKWPyAvPKzhPbtgOjTxDkBU7AUSbc3Ud5C6VL9TiNf+JzE+GxAmt+iU9CNXFtC2ZK8IkllzQgszmXD1wM+eM/c5JmDf9B0z7Kv0jSA/DsP1J9bQfvlrHCIIWL8JOEmRG5L16yy2Krd+Ffe6HYWo7NPlv+wowVV552jNeC2z7hrT6Db0UuPLnTJizagfmktVo8mnAr/8dyF0JTGaAFq5KnXtjroh4YwTL1rN1XsDCXBGJ7igMlQk5DvFtcuIoxtPAjv2iG0BZYzlvpzwdZuQmBWaKUmMDsJouf06Dgc9hsty7R+fjtChu9BgDtzLlKnv5nwGrqpzIENvQir+Qn/NZ2OqzYWLNOlZg9yBI6Rm52qk/Oq0BUbRzYxpDlD+LmBhsSztMO1vzzhtgfAiob6Ygg76OSX6Ru51TsRyllgDtirvL+8zWen2Lc5HkZ0Kd/YfKnRRv2eb590XS6liUuFsCW/pSQISBDce5IoQOl7NAYUz3b0qpkGhshk2lkRuew9B/6Lgl2hJFx0vaA9ddVsV9OL5gYcpzz22zWxGr0lk/95lFBmee7ILxOQQcxhIwKVXwVFXLef1ikM9fjMBSrpHdHj6HHSXnXCnFOT9fjyVgoUX6oTgw8ry662dND8yAdv4wdy8wHABjkeIajLBzJKwJ0DsrUYk/Urz//e/Hc57zHLzgBS94WBHw9Kc/XeyKK4XA7zvI1/bB1SZvTr99P+zTP6ujAhYDjwEpTI9ye8E7YH/8b0qZSxcReuprgOs/j8JUDqG7h0rPtZuTMMkoLJMd29M99cAOdyMkBaw2guQLubpStTxL7jOTXG/CqdSReUdkeQEhOhM2l1ez5s3/KcDFRVrobqRhp51spbQeaE1LYxXy1F27m+3sc97qXBo/ITLJLCBM0r3+rA8pYp7FBW/Yt5Rpj3pDZuK3wOiQAh6TYRV52XgmLBMKLWGDksF0acwVkblzCrGqEEw1Z9oULfJJmqZDVUB9laxK7RyTnVP3Y1FUFYHZdYOOJfx+cHWZSKgV8OQULKl2mXlNB4kwzIlNmiCHDmpi4sqRq9MdXwY4i/chSZPn6CJg72dUsGfV3yrD4LjTgeixwNyt+tz7bgU2B2bHXnPBawL4ODAKsBBgcElNe13qE2RGHWBOvKlLgjn0YJBVe/c6t7qm8ySxDUTvu0KLCbLkBRABmp6l25+9RRMxNTEoOkVcBq81JmYWB952WISPqoFEoxMdosFPrNyyJwD24JCMACJFi0hjBPlJWmovYbWMp2CyMdhlOiIQR8CRaS3glrXBBISP2DGxSVeMHVT/BUsgJVyBGoxcAXbMFUq73TjjhNVAfVILlaAYvYw1fBuM3bsk7JZ6YGgcpiauHQsWqBwxBSN0aJaulfgjx1HWEXj5y1+OF73oRTICeOpTn1oqAi688EJUV1c/Lg+CSkfg/wgme3v6B4A7PgR0K1JbNPCXPue8K0rfP1IU+/Zh7h/fpfQ1rp4XDGLbPgG0RTB7yxQaVgb03XkfPumvgM98Qi2GO+phntYlzmehkSX2sI6fLffte2dk/p+PGuQP6ComfnIdQrNR4M//Haaxc9FYw844oKObbYpF8/Ov1F/ODgE3vfdhXQCTbAXqDEyjuzly5TZ6r/jFm1AWWK3JUm70e8oIb2n1j3AubLVty6Qic/0osPXzgkUQSWOONFh48G+zvVpW9tVrky65uQKAp7+B3u9hYA1xG/qeZj1gb6cwTQAXsDSYcLYfgF3boyvpg/t0LLCs3nnXO0T9xLiTOC4oX32JaEcp6DLIVabn7bMbwE5B33e1NU99AxY3sVVAzCHauc3uTvU1YDFHLQBGE9XqIkANOxZEzM+7DkSAisoRQmuX01tw4EB2QPg9Ofxxp6/g0eyTHG0UgBXPBWL1wPSvHSaCuBBniHT/vdqGP/YE1+UgI6NKdQRYCLAwmHMt+mBw//vYvVBqBkcpzWfUoTiRQyFTkOuR+2aPqUWYIySxkODfEPUL1ADLJJ1yn8hLU3CI9MCJcvEjvgWKAREgIq8NjhrIYpnOww7NI7Sp3tlfO3+NxnptohFHIQBBVwjzWHj9CYjQKSiK7HA1MDignyELofYu7bC0XgIkNytGoBJP3jBPcM5vcFgFV/1f+MIXpCNw/fXXY82aNfJYTU0Nrr76aikGDjUqhcBjCNN6Auw5nyqPuh8h4T/qOGBJ2HmP+I+I5nn2oXkUcxZTe+fk3p7sTSC8NwOQZsiV/En1MG5eas5+K8zP/xXVT2tGYSyHUF9Gb5LZIjJDOUQuey9sNI75D7wL8Vqnvy3zYCrDdcKmhuUr1HOyFgFXvUb36bwPAsl2KQSkGGDUd8Oe8yEgNQr8ggh5AOe+Dbj5n10icZzpiW3Ajs+5k8BVl3PAi0VR7J+HaY0GbJpDMC1udhsLP5xy3RLXln6SFrUWOJCS+7YwA1g0+KiOwBAIKdtdAvxb2w2MT2lCa+kEqjfB7v25CtvwXHhg4H7OuVWfQY1yFqTTYJtZkFmYZidXTFCbrMbzwMgQbO8rYEinI66g/6s6ImCy7nqZmu8MOR4/g4ZLvd1lTX0mFw86LCkERhU4yQJz/xAwcyvQ2QrI7J/sDc6jl/DTZYUr35QMkQRnwaKCFs01DqHvAYZiOEXwIzEjTtK3tK3w4hWwbNfhNMIR2Onpkp+2YSLlfvsETbwCufrrV2g7fmAU0XunYTvi+vYHs4I1MRRyYgOFIyYWjqR5+hDOvmPFDLvkv9TLQQS90sC9k8oQkevHcfs5PvIrujY6QiZg6DTJIoXFG4sBng/5zLfp5yZ2zJSTdp+xDxZDa49z52AtTPN5Sy7QSlTiyREvfelLBStwySWXCF2Q3YGf/OQnj6sIYFQKgccYXib38UaoZwUSX/0p7MSA3tebu2CH+7Hwltcg1hhC4oOfQihKkZ+3ADVhmEaa89DZzRu5OEnWeboVRmXmns9YFDecj9QPrkKRyPrXvR8hFNHRlkfWGtSe2YQQjXW4yN37v8A9Cn4qnv12mM4tpX2z17xDE+JLvloqBIQR8b//pGvRZ39MMQRcdd3D5Olu0uf+q64sfZSogS580VN6oyIwlQZCFCmyQpkzNFhiQmEyYNJtq4ZJU1IYwKo6xUwQ1MVCgHav7ArQEnbPNLCqQemRwc+J82f+nkmrga8/CHT2APumypiA9lqYDOf4BrabegIGpq0dqEnAjAyVUfB87qoNagWcW4CdzsL+F7skBub174MhRY4iRT0vAXZ+CZZodV+gCBiNsrXzqvTnqaUzg0qts47WRstcItnZqWhICEPAcE5OultHp7opLq2YRPPfdwkcCFMU8hywZP8eoK1FOxVN7XrdMOGKgNBZwMS1ZSthYhQ2b9TRwDzHJjUBDQVuW8jyztPCd1q8w2Ye2HKMjhdo/0ua4MZamKEs0B2HIaAz5AoBBvUeqJUhQFYWmwlNzLLJkBoyyfPGxPDIshisJ7iSOgRs+TfC3q3FQG7BIrospuZR1LWoi6mmRF1ENQoIPPXUzdL1R/2KEVVaJE6DXgaCWSDOgEVOoCCKHJppSyX+hHEUjAb6+/sxRZBtIM4++2zRE7j99tvx2c9+Fnv27JHHKzoCT/JgMQB++ehZgZpvXlP6nR3cj6LYoDr+PkKwZ74ZmJ8A7vqK6gXw9xQbumdWq7j7r3eeAyGEkUdtNIeFOYOmY+tE/1xuuLzJ3UqnP+eadvPHgBd+BXj2F4DJvcC179P9oeHSI4RgCoiFIINCzFccUC9Wp5xyH7KqG9cEyxv+ZBY2ndNkfkydJElJovzDY55hMTCXL5n6iJc8279pBdJZ0Uyg2I5bRcfDqirIc7DeJRDaDG/b7hJf1eJV5PgE0NIA01AP+4IPAHu4gmfxQW167t8EDKloDCrEUaa2uxeYmRVzHlTXuVV0TN37qLTI5GfCsL/6OAy9FxgNE5rISVHbN6pCRwSDMuimyNf7/WICFU49AaGcRyeB2QkR2hEVQL9YZheI+xhvVEMjCvGIy19MAZfynJTzfWhScCkxBDFqFjSUW/rMfmSOeEfKSUdzZPfAMwwYDqAnq2Xul3RJctLZoRSyzOmlNip3fSRqmbxbYObGYKl50FIFSzwH35Nf9N7w11FTlQIABeoQcnbJAets79hIRgEVJYm7EE2JAH6gMQpM5BBdX6NFpFy3WiTaZXXaXJiYgRkfUYomPSZ8iCU3xZzYdaoVQSJu01Ak6MEJoD0OM3u7UDrB0VwlDo84CuiD73rXu/DNbwYVTRfHaaedVvq+oiNwuBYHvMeNHYDddzvMGpdY98zA9iRhbv+kztv90prmRbyvY7ZshRo3SDTFUDuXRVVVGI0r4qIKaOlFQOETrs5IteIXV1CibT8H07wWRa5Qnea6Hd2t+IXsjCohPkNb/iV9hMywM9AJqZJafhamaQ3sce8Gbnyvrhrrq4GpWfVXOK9djVwoZsObNoVj+HpKEfOI6NzG17Q2KdiuoUlv3lUzMNQwIOqbqPFZotQLyl5oaiqj7xnNjSpcMztb5ohT1piFyC/uE7VC+7y/hmleBdS/Q38/8GWgyioOoNnNf1vOBcb+V1fATV1uxk6q20RppCDHdGYr7GgGJkTApLuD3PdVGCLLZaXrV9EueFx7+mH8apo8eILWWECRrkcUPlUHZb+rgfsOABvqFq9UimFgyD2HuIPVxyqAz7fU5UNiAZlc/LOA3Fi05YCmpymeQc68ex3lff11RXAiX9PEz5py1JNqzjM+oDoExBIQvxBUJJR940q6CvbAQWCr09uQa5I0RIplGWCWOhYsgNj54LiqCLOsXnws7K4+J+fbrIwCFkp8L/E8mAemNVl7bwJDx0t+yUjGnZ9lLNic+iav+Qf6gfX1Wpz19anDJbdNauLoIFBTB8vtPajMACnANnUIDdG2Pxem9ykwiQAwtBKVeJJrBwSjoiNwmIYUAR9/sf7gW8uyyinICjpgQaT3vpoILOVQ92bEh6DpklahVXl/FAkR8YmoOt9IDrZT57alm2c0IbLC+ElZncpe+2FdOBK4xwcu/DeYZAds6qCjSH5QiwCvfMeEm9oHkD547geB/l8DA9epgU++qImzsRp27QZ9AyrATZbbW2ZdG+w9A7D39sFsahcHQGIc7K19MOevkGTALoE95VUieywWx7yh+1V6lSZ+y/ffvxvWjMNwNckEhBDMi07QN5r9NXDgLp2nt78CaH4usO/rqtPPGTgTRuQ3qvXP1bZw9t3smm1mQdIT38E5eL+CRTsdx35XCtgzABzfJKtgYZAIZc8fpIGh0A1X9Ixi0vlRcAVM572IrrC5OuWqeEOdivR0dCrtbXZQE2NgewIiJO+/inTFISBDNcKofi6iaDimz6snfU9lrjH+c2UNBNX3FsgyYGfHeQ9IhelHPwTwudW6aBA0limXFOrx45OxfmB4uCzi5IPjl3gElqqF7Mww2c7P6Tni9cWiaZ+TQpbrfhro1NGAnZkHWARI8nfH3FwDjAc6VvysxFCKHQ/iTZQVYFlo1FfD7ksBa5thOlod8DMwo+K5npjS7hNjywZlkZDeWCkCDr84CkYD9fX1Mh5Yvnw5ksnf/9iqghF4sgXn4Be8GrjlS8CIu/Fd+kmlzN34HlhiBtgq5U2QQCn6ADzCdWw21AjNUPzT2cbP0vo2BLPu5TDHXQRT1w07ukOf7FeRpCHy3ks1QT527Xs0p3H+yhWYaNIb4Ni/1aSz9eP6OjGS4fsslLdFbQPenOsSi3bPtLSU5+cMoQsWtUCg8VCtBc7ohM1m5eYuxkO//bJwz21rm1IYOctlC1+SxhRw832wsxmY47qAplZtu4cJsluCWWDs+nQZy8BRAL8YTDyy8neMAcay1Q6NTv37dgUuSquajoFcgceBkxtg7xoWo0TcPabH00WxIwolEdtB0yQmVp47cu/HAVLjCBpkW53FCVXw0imY9Ays3JQs0DcAW18HdLTre/noIvuAIxDO2ilqpMwP9GzSWb3oCfQ41gHn/jwPPNeuE+RDEPQUtmLRRltfaiNQZXKyjD3g61l4ERhIZUqB/bPA5GrbvT/HKOx28LqkJwQ//6YaKQLk866rlZFFfmC2VIMUQjGE/bjHBztXIxPA8h5gTStwF9UMjSpftrqCLRg9bUoZ5b4NjAGdjXIeDdWlycgYpQZDoxaFHZ2w2/fpZ9NUD9M/XHYBLV2DlFd+R6UTcDhGcK30eF9/GMTnPvc5fP7zn8e5556LZz3rWfL1aMJChxqVQuBJEKalF3jr92GH9ijquaUL9tYvl5/Qtw3oXqZFwAiFcsIwTXHguDhM17PFIc387GuqttcSg2mOwbBI4NzbAaOLfSldod/5ddjlx0ohIGYygoh3+9GVgB3ILkkWjrImSYRt81Zg4Lu6bVmB5he3wX3SakzCcEXJr/79bqRA3j3v1LQJ3qdo9VWNLmE6yqAbPYhQjZeiZRG0Zpn+no8HZtRiX3zqcl11Eqzm/qrNyufB9l+nC/vW04Ed39f3JZqchQJX+sGgcI/MyB1FjqtR4geYv4kVkEFiEYajjs5O/R2Fkfhe5zfA7jwAzBRgC1nk96URowYEz9e6ZqC5rtzWl9Y63ftCupLnvghOwQFC5TwS4T4NzE0AG+Zheztgmmj+w5Y4HR/ZSXDUw6DEr5gJkU7oMi6LAB6TNw3ihqOUG6ZdMKmdfiXF7gQxCUz87H7IiS7LDz8SddJbJ5O1kUzATKVhhVarxaltaIBhsbD/gFj5shVfHEvDJKIIL28GfktcB+2meRdyuhPcXiQCYyzsSSpiZHbuAGZoPFSEpfBSd5uq/5F2KsfmLL5JASVzga8S34Ol+0sTKBpMueuDOBZ6U9Q3wKz4S6CqEybmwIqVOLziKOgIMD71qU/hTW96E6666ir8+Mc/xtve9jahDvqi4Mwzz0TYG4gdYhirOqeV+BOGyA870SEfxa23wn7s9cBKtvQN0FPjLHBVPx71SguU1T6piP0pbVPzBn1crYj9lEpd3mQnF7TdLyJAcZiX0gsAsN9+5SK0v30oDbO5Wme8jOZaGGofiPJbXJHsPthGnxzVBefyS2EJQuTLmODbO8QaluhveS1v1ET/d7brXo0Sb6AJ2U5lHHitANPh2BlDQ8D0rEoPs23b5LTqiZcYnQS2qGuizPBZsHBblJjl8SecAmAz+fZyZoGBvdqe5wqYPHwRa2AR5Fa58VpNlFTTO9gHjE871sAKgNgFSvoeGFAzm/WrtT1OO19/3g4cgL1tDLldadhwGPE3vIpIThi25X1xJBiJiHYSaN4jvgFMTu5PkMlucAjYxyKAvHpXZG2ohWmpBrq6tSvjaYfOOEdtgdkhSup7pd34he/D8+Aohpa+DjYOk3QsBaHXtWjBIawUN77gsfJnMhYI+OPqmZiGEiaB6n5Tci4sOxmFIuz4rFr0rl+l2xDgpDoKsmA0K7uRPzCJcHxBhaPu8w6J1E8gNsAAJ6yA4flntDudBXYypka08yMdo4BBUlWV4gj2UsrZAsQHMJa36PiGLpDuxmjHUrDfuVfVOwnyJNiQfz8v/AhCvWc8nj/bSvyJY2ZmRlrmE686FnVLtF0OaTsLBTR95T4R5akT2ezDI2ZnZ3HttdcKbfCnP/0p8vk8Lr74YikK+G9jo6PNHhl4ySO/CLCfeol+uYKAEdp4Oszf/4vetN1FLkjs814NXPxObb1Ttle3omhqOEU9Pk+kc91KyyUayrgaSveyAz5wv3zpL3QBKEXA+oQ+nzdJ4hWoNsdtcU6+dBXt5Xep/87RAG/wHGeMZrSlzJs5NeKlxW+BvSPA3du0CGDxEYnBEjjXUg97x8BimhwTQ201LFenTHoFtVPWFbUBdu1RNzovVcs2cOcyLVRkBcsRipeQtcDyzcDyDaotIPgGGtQkVJlPEiiPgwC3MNDaUd4XrtypxU+wXqxAM3CgrllZBULZi8GKFbCBaYogdmo94iclgZnfaBGwyNQoDDuRAVZdCnS9pKQnIZ4C9a3AwYOwNIsirsPbRTMKTt6Z/PhS8g/QNnmsPC9jg0DfrsW0wmiVjjZESY82x+LSBMSqVVOALAFa95K5IC3+XLnDwMKB6oH8En8Bp07Iz52YARYBeYJS51VaOh0oKPnelHwemweGU7DzC4h01wsA9GErsJIr4ZJxAWmW7JbMZaQYFmtiXgssEDjS4fXMLs3Kdh3FBDEw/GFmGnZ0VACJdi9xLm7/0gUYUkx5addWLIOPmI7AE/k6DKO2thYvfOEL8eUvf1ncCFkMrFq1StwJaVHMrsFjjcpo4E8cdnRP+fu9t5W6AjY9ANP3OWCtWwGlFnQ08OB39IZ31mXAnVzVs31fFAqePb2pTFujAhuTWJUBTn6D3lBv+6Ii21koXPsRfS3V49guHZ6DIQebre+aqK5AdU8CWgDk4L9I59NMCAm65CmNT+bbTBSUNubXwDBMQ1ILAgHbWWDLcmDnwXIHws9meTxcAUcDIBgaIcWSQL9TmaNPwVQKdnknTNBQg4lsqf5hOqWreFk5q0CQdA3YEWCybHfIeHlv929QgY4J85TzdEaen9KEVNr2JJCd1W6ICuo5gN3v+JCpI1DfDBuJwrROAuM/BkYpj+y0+L2cL4NJmMqQKVv+46R8NL3uqYDHNjmD3Qg6IOZSWgjVtQFczHBswO4GjZN4TF4p0X+CHM2IRgC7SQvAFDszgfUAiyt+PqQTUuWP0Tekpk3sELAA4PuS7cDP1mMIGN6gSLoLruMwT8BlFEjNAy212qWg3wOcHDAPe12n6BnQwAqhGoC4Ap6TPXv1tBLbwv3xin8ifezGSf64iBegmFRVHCbljoFiRyxu2AWrroF9ejswy/GD0THZsz7yyAZilTi84iigD/5fwUKZFEJ+ffCDH8RBLioOodlfKQSeTHHDJ1FsaINpWQkYtzryoKYTXqMiJzdRdpigt285fnixDMyqovmKm4HGuQo3wOl/D/z0I24+7Fbw0uL1LocOib86BIzQs4Bz9CUUMXZcJ1PAsa8E7vu0vlaMXMLAaUppsbP7FydDJo4EWQMKUjBcDZNTT1CYCN9wLt8Ek19QEZ1nHgMjkrYuiXClHkSiz6Zk10WDPhicmQuSnfPwkM7hOcKYmASqFpRSx8QhoDm2oUlVJB5BOJjsn+vjA3sUHBitBepOA7IPqXY/V85VrcCQUuNEHZHfJBuB2XG1Dv7fvZqA19cBXcuALPEY1ERgIUFgZzUwPQLj/QkYVQH9hWwGGDig54mqiqTbGYOJm8bR9OJO7QhRlCed1uTM805AI2WRGzrd4t+zQejIGBPcCPp2auJ2WAY9XyzwXFeFHQspEoJ3QtpgL6jAEKmO3G4HAZ4Ub0oBM86VMBgs6ET+maONQWFuyDhrU7cef01SsSMUOFrIyWrcnkwzJQIuqazot6cdFjmezFxZEoJJfMUapf7JtR3Trgz9DNIZQqoVN8AOFkc3PE/yRI+fcB21+piqVp72HqB+RcU2uBKHbWSzWXzpS1/Cr3/9a4yNjaG3txcvfvGLRWCIsWzZoVliVwqBP3GYtlWwlEuVDnsRuPo9ihy/5N0wLALIh2c88CVF0Z/wSmDrNxxXmwI9vHFq4pYVOcWGmOcFOEcTHjeL5U31tFcAD31LwVi8KfJOGwrQ3QhADBkUO89D2N5W3slNr1AXwQe/BlRTbIYsBFeoTG4Hdl0JM59dbL7UcS7ND0ozWgnetDvqYAl2rCUdjatGqr2HAXYPqAYnhjpMzgswyRpYjkZII2zUZEGK4eITGAEaTgLS1+p5IC4gEoeJqUqfiCQ9WmXMpM6ug29lJ04FZm8EUncsEjC3hRTQuwa46k7pTtjnnalt6tp6dQ8+pkmSuZHCp1ZXnZQNZvCj4WjhkSyYfRDwxpUrd7OOZjl5RBIx1F1EBgJn8zqnF9mCCBkcjkIplrpuVRxx51NGHG40QMVGcSDkqEfHF3I+OC5giK9BvQoRUSTpnt3A0LQKN520QtkpDa1aeE4SaZ+HJeuBRQvHCkT5863ipOzFNPlz5c7Ch/vMz9ONMErmP7weuFrn9cmisD4Z+F3k4R0SuZa6tTA5MKzjFTIGZieVQsj3CXQ07ORM6dRaMhOo/0AMAuO0fwTqeksmWZU4QuIoAQv6mJycxFOe8hQMDw9L4l+3bh327dsn2IBXvvKVuPJK5xdzCFEpBP7EYUj1et13YQ/eD9zwYXdRszvwMbXTZVuTd9tsXhP97foh22NfAuz9ocqq8gWkHQqOi4NPhyDnzfQXnwOe+lrg3i8CD37DIfsDzDr+e9yfAXd/zc3lowjN3IRCz3MRHr5at1lV727OBlj3l8BDXygfQIYAuoxy3VlckILIfaAwzdRWYGzUqchFYGqTHGypYt6+/cC6lW7GTwR6ziWOvAPSabudiXbRipcgPQZXxZzTi9nO3UBdUznR8Hc+KNXLg6ScLMcZq/8MmLhOJXH5sxgkUSq4COz+trbc5RyGNfnRmIYFCTfJTgbtcLma92I8LV3C8sD2ezQJjo8pWFE/XX1u8gwgfatb7br5PhMqZ/6NrXrMrrAyqzbBdmvxFhkchkmnFV8xtAAc2+swC6nyGMNHOK4sDfA64QM5oKMHGNyv2+9a6WSF3XVCDwOeUn5uImFdANa1AzNzAroj4NFwFCHdI6qUtAETQ45aaYGDowpSJKaCttH+8xEpYlpXVzvnQkcp5GfC/eA+hFiw8NquAsiJHhlReWG/DYIVXedFSjgnZGROPMa9BxkdGf2s178Q6PupChCNTiguoU3HWvamMf1beloS5uz3wbSQiVCJIy3EeuMJtPfN4VUH4NOf/rQYDO3fv3+RpsB9992Hs846C6973etw0kkBt9PHEJVC4ElSDPDL9hwLTO6D/dUHgHlS79zclXoAS+O+H8gN0TbE1d5XBGA8+tyt4q/7nKLsH/yKc9LjDb+MI5Ml5tQccOOVqh0QjH1XKQCRSfHuT+n2eUOuDrAGGGPXq178yLCu7Na51n36RnXt4/uxxR9iAnLAQyJzRUaW8sEziiEYHiwnkqlJfd+xGd3/eurY05mP82i2rTPOUrbWze89LdCt4muOh83cq3Ny0u4Yk+NabNzyWZ1Tr6EOQU5Xuy4sZ84DgzCWK+SQmtIInsGh5Z92gowKDKaABVcYEddAOh6fy/Z4I9+Pvgl05SsC/SPA/HZgVY/zCBCPaP1XRJHc+Vq1St+zph4mR9S/KwgTcZi6BthO6ieExGlSgsVE3y5YFhLVndot8sBJ6Qq4C4HvwZ/rzwWyd5Q9H7zVMMc8BCamp/XzO26ZqOth6CrYaSpHejljgv4Oli0OSL3j9cYvvi8fo8+DgPvSgmnBujUq+sSCh0XATlXyQ0czDIslXjeS5APgRn8NcNRSW6X00N07VLtgnfPHSI04LYYFYOQG3fbUpB52OwGmUBYNE8QFBIcS81BxEKzEkRH9/f2y8l8qLHTsscfinHPOwYEDByqFwOEcpqEbxdRQWfHMz/N9EPR386fc7xyIijau5LznssIKsLXKzTbbvwZ7/p8B93xPAYKCcGdmcR2DQrB74DZYtCiMLwCbX4RI5noHxqLFcVFv0bzhpkZhh2gcZGDOfwsw/iN9nFgA4aYvCY/gl5UwV4RLaD5MSkSlM5h0yfVuqle/AuY8JgMRpSkArct0Jbx3u7IEuIq+9wE9gAvfpaC8we8DM7e4cxSYyfeu031IP6C4gn279e0HD6rufNvzgP/+hCrQHdusz2ltKwHSTFWjmuRwNUpAHU9gTZ2Tre3X9xBjKg9CdOf6mNO0Fe+Nf4a2KkWRokBB97twFKZrIyy3J+dIKZegqBAR8zUO9BiJqPIgTw4lfXdPwpxd7RgFBPulYFaeAhuvA7JU63OJnB4DCQfCYyeEBQxphqOjep15WUr+fuc3gD7tStieITVy4uhAOi4sHueVu8/vSTOd0evVElKQiGhKD45j2Dlg0vZaEizi/BcLgZYmxXbweCn5zM+Wn49niJCVEGRJ0E+Bz00PaVFImqmPorhZwLAgoKw1TyOLncwQ8BgdQitxmMVRNhrYuHEjHniA973FsbCwgB07dsjvDzUqHYEnWYikL2/UTNInXQps/Y48Lk5s+SjsA2nBBpjjG/RGmVFAnbT7mbA5TnDJz/RdDduovgMq2ONWmTbwyVPH3hcICCGcDAN9P4bd+ByYoZ+XZWu9ZS9Xhm4laHOZ8uSbK7zeLr2ht5wMFHZpUmk+F4jeXAbOLZ3Xy/ItIKTDrsXENOyql8Fe8TGgqxrmBY/A7SX/XoobWhQXgJGrgO4XBwSOHCCSxQDDt+XP/FsgdROw1WEgaECz+mUwphWWpkL0M/DBc+YTkN9taa+76kn0Edz8ne9LBH/B9SgJtOOLPECQ+zm+Gwi7Njnpb9w/JuO9u2U/LBHsvsVJxsLKZwDDvywXM06PoaT5zzZ+wxLxHG5H3peSw0TYc07u8Cf0D5BTQwopDY+qgRVUJnMGSIyJYZ29j6S0IJXP3fku8CLjt9SuiPouFAtFSl8bZZyQQtpUC7QllYIqI6M6YGIC6OnU6yP42ZcufE/lCvR4qS/Bp6xZDZD2SmEtRnOnfp6+K9DSCIyMq//FjHuNFG9hWNJseX3TIKsSR2YcBayB/oD74BlnnIF/+7d/QygUwgte8ALRC+CY4PLLLxelwU4Knh1iVASFnoRRPHAH8D9vLT/QWAXMOUDgHrcaP55IcAvjF3K0YuUqjYmfTIBj/hLY7tyqNvw5cO9XddzAmy2fF/wj8D9z5UewIT3kW8s9czubVyVDOgny5xNfARz4L2ECqE6/o5GxxU/b3awrFjradTXc9gxg//dLSVUMX3Y6LQEivflFf4KpDIwTMrKtz4L99OeBhihCf7ZOEy4xAWQHkG9eQsJzhUleecLpChSA1c8FcjvKbWQ+1vFCYOwn+hjV88iRH9ytiY4aBTwRdw3q+6xtVAR6e5tL6EzsVLQjot4h7VmIsAPBBCagzildyQuYkaJGVG1kJ4QrXorscNSxq7zKldU5C7k0sONBfU13t/MdmFdMg4/VJ2lylkTO/c3BsgDcuhumPQlUUweB55HSxhcC479REyGaJ+XdGILbZ4fAf+8rOJnj16myoIDtRtUaeVs/ML+AAkKIrGxUdz96PbDoohaCN6qidkCuINeHuEoyyOnndcECQM6dA4KWFBBdsUUGBG2C6UHhB71km7CAoECRH3WtWQ5UU7xq0qlNpoD1G3XEMzOmRSYxA+wsCZDVUWR5PARiLhRgLv58BSR4hAoKTb7hBNR5AbTHs51sAY1X3P2kFhS69NJLf6f7YDAq7oNHSND5b9G6ednFwA4VhzCrq7UlS+42v+joBreSlta3m2nf8DldfXLl9sDXlb533PNhHvqBJj3elJn4eWP3FMVH+Vsyvew+OD34goXZ9i29WbML4EVeVm8ur7C33q3fy+yYK9cbHTXMVS3zC8BsWsF1G3r0OMhVzxVVK2FwDrj368BmOs0x2bquAW/unDmz0GDSp1gRxw7k9vPLr2oz9wuqX45TkjG5+ZQ2ZjBpj+kKXlafWgjwnM3clULteQ0wo2lYmuZIznbLBSZRQah76+EzgZ0/AtZu0eMMM3EVFPNAQObYOGwxChOlW2REjYAYtMH1+8HHOcrZsAWoPQNYuFephFTtCwbPb5EWwwntIlCpT1rx1ZL8zcpjlSFBZcD8QwrUpEXx/FTZbEc6ABy5hJ2mgmunJwjMDLTdCQy9fZt0A9gAIC9FGivr1ylucPceZR5Q14LPv21SF/Yc5XDlvYoS2WRTBLo/BAM6g6hS8FoYGIatjoookRQVzn/ANNcC7exmUGuBdE+CK6dgOQaQRD8PMzMOEHzK8YIoQ5JemVIcSDCm54CTX1MpAo7kOApGA1dU3AePLmlh+bmhG3jFN2FH9gBfeQdw8Du6ym8hWM+4xEMhIAs7TfMXgsQiwOl/BdzmEP1s34rSGlduTHoRmN0/1Jku7/ADTAQLAMFg3s6YamsZ1by3kwvCXTd11fqHwgTtq27BHBCA5trkLAi4EuZK37vs+fCrQNknTQ4UjrHd9cAxrwLGr4EZIjrfwC6EnQ6+dgoMt99drTd3OgVyW2PjujqmeRGDK2ofBBQy4XgcQt25QANn7GGYWBPsslcBB7+mv2MRQN8EJimEYY67DDXvmQB++zmHoWABM6vvy6AOP4PdB742ez/QQ4Gk+3XGThMk6XhMKnnvtv3A/dOwLNT+PKfMDyLpfZB1wFk3g8j6gZ/qcTHZ8XwTf8Dj5YqZq1rOcmgqxGIjo5oIZlVPyQdIH/AjHvlBE6jgJMJA3B2HLwBEvInFGVH9nNXTdXFGhHvsOWei+Js7Ecq6c8vuix83cZ7fVA97z16lkp7ufnXfDJAuAsuqtVvS6Nr2QmFsAPpVhwGkg7J4FNBnFmZWvR0sqYq8Zh2V07RRI6EZGCfokqyJSaBB2RiG3g0slugp4NkT3AlqOLBrMDWrIFPZWBim+ymP8hdYiSMijoJCoL6+Xr7+UFHBCPwppYU/d6n+cNk3HrkYyBcVG8DIWxSzFqE6t0IV+9UIcMKrgFu+qBczEwtnomM52DkLnPcSmMGrgVQO9qSXwOz6gb7WJ34GkxrpX6SLtbUCXYBl+53c/bkFhw/IA8f+HXDn5boCT7AL4MxoRP6XK/qdwLBz7aP1K7nkXH2SJsftMTlzteyD252Ygb1tDwzNkhjUimfB0R4XsFfpMarACWfe0fr8yp/Bc8DtMkEmmez02ERVa/xn5VWvrL6fpgWU5RjBrdCbm7TFPPETAdjbTcuAZS+AoW5C0KFu0TzbgTj57/JVruvgcAiNLZqI+LmRTimvLTrWRh4Y79cRRxA0yXa8FApMxmRYhLTbQf0BAiTzc6qQONyvYLrgdWJ4jeRgwnTiywKNZwNTN5WfQJyAo0mqUZCjPZLBwKItS0xArdAc7UFSDRdQuHdQaItYzZGBUcEqfoZ6MPrPimaY6iTs1G51xjzZjWo4ZprMwrJ24LXRtVofHyZ7Yl6LDn8++S3llK1TwqRwklBgC06C2u83C6MaGTWIjoQUYlmRNhYlTZ53UY+kA2Kr0k/HRmHrz4FZ/xyY2opuwBEdRwFG4A8dlVPwJHclNG//Puwlb8XCA7PI/3ZagGACBhMkfxHmoa8IeFDa+r/9jMgDW66saEB05ZdgKffLRfnW75e3y3k6rV6ZqJiclrATjDXq/scuhL9pU7Z2yyuV771qOdDbrZgAH0tBgNyuf4ytf86I/VM5jpjNwT7wdfUlKL2GnQ4C65Zclssv1EKAicRtZv4AAPyvSURBVOG4lwE9akEsEXLgOSYDJjauMOdmVAVvaRRmYectbPbRScSmmvTAu4BVq4H6GkXje9tkAt3YnZAiIHBuGEzWXLFzP1hUnbUC5iUbJEHZqaxKEnM7pNZx/k/swNQQMDmonQwa5ETiorYoIDgWC80d7j2KwJ771ROgbzcwOeG6K67bUn0S7NyUru5nblUsAb+8kRCBh+lBIHVQRwuitJgG9j4IHKAg1B2wIweAB3cD2/uwcPsI5m+dFuMe01DtzH+cbTP3s1DQSyYRg1n9SMAkq+dJ9tEJSU2k1BuDnz2vLbbx2XlqbkCREsosnNy/MhoQCmHSGV11A2tXw0jb3xsf8TomZZRAzaLiBILXIHUrNj2vUgRU4oiMa6+9Fuedd54AA0kjDH5997vfPeTtVToCf6KQDsBl3yh//7uKgTVF2BxR2XnYwTmYJvrIc17O2bFz5BOlWDd3ftqrga3/oRs44++BPV/QlVMJC8DkSTMftuIJWMvD+KTP4E1VCoFAQr7/45p0uWr1egAUEuIqjxz27EK5RS3odteuI9iOyZmrw+lp7XCksmUMxHwRxe2TKq0rr1XwnUj5chTB/Ri6EWhu1iSauQ5oaddkyaDAT4N7ba4AyyR3130w579LAX5CWVNKm932GeC6m9Uk6fgVUjyZNjdiaH6asCUk+bJbwaTu3fbcMUoCxjjQs0oR956HKWMDD1WnuU8NLA2P+NoLuzWZylDfIfCd4RLq2rVVL61JqvOdAYzeUO7YsMBJjavGApOgsBicaqF0FNx7Tv26/DmxGColRIfyrz0VmPyVPtRwPnDwx1oQBC2MA7P1eGsUqA2jGG9HqMkh+Tm+EMwHQY+TWhTV1MK0NcCyizEy83BveJ6Xvm3iLlm6NtyM37+vEawHVQbJSmCxEej25CnOlFAb5aWKkm0dKlZF4Chd1niuiDtZ/9dAuA5Y2wSzVPOiEkdwR+CJjAZwWMU999wjZkPvfOc7pfN5/PHHY/ny5fjMZz6Djo4OUR081KgUAn/C+F0FQDBC3SsQ+3+fhv3+OxFiAUAJW6L4ffj7flUIOP0tMMXG0kOh1h6g4a+Avd/WroGsSufEhVe01wkiXGDbugAMjzlw2eLVvaW6ngjcOPlfb9DjZHEti4nRNBUHtKig+683rCG6ndue9FoBRNwXVACHK8S6MEzOIr8/AxsOIbrSrT5ZhFCHPms1uTERsStAv4KxYaDGad+HHOaB9wHO2GlJy6Q98T/AhGMU8OeGcxVBTxoan7yvD4Zgu5YG/f3Qz5QFIEnUoeOl5eyCCbj0fU5ldb2AEVet3Ccm58Z2oKYKhgh+gtqImPeJmfvKwqjlacDoL3VFv5zjoQIw9QsgfY8WCHIeZ92YwIMyI+Wuim/1s5BgAmQ3gNtm8TLcp9oG0pbne7NV/6tywh/8ubo/+ujZqOdo6+3l65LLfWkS0UKZDIu06hewC8Vj4b5YJ/wkBY4zuCL+g34R/lir4rAsKgfHlNonj3Oc5MYiUhTlRUrbUtCKwEECWIPnnJ+pgD1jQFuXCg2JxDKf584rcRTc5zWvhqk/dA51JQ7zOMpGAz/4wQ9w2WWX4R//8R+xbds2nHzyyfiLv/gLERnavHmz2BEfalQKgcMkQsvXwHJWzuDqPRmHlTYv27Bc6UVFbtgSXf6rdwPnNClj4Jb36QqzySVYQb4bGDIAeCNtbVMgm7RrA8C7dAaWSZ8tVp/Igi6EwwN6o2Z+YdIUfjvb+p5r72L1S9XI6PZPLj4gJg2uBEd0pTd1wwQKqQKaXt2NKJUU2f2IhGAI6BewnEu8nJ3zfdkiZ9BNj/spyPUwzGadSWs69xoF1Ca4HiYRhz2BYwUD7B4AsgvAQ7t1u8s7FaDHRJWZ1mTJebOXLdZPAejo0PPqjXtKFsNRwQeYqjpYacczOXPuT6vfwCqdI5a5e5yuQwiYvEYf9+JOB/t09bvhL4AHriyD9dzrZdQzMSda/abGtd6Fw0/75xEtUgjanFkA2vJlUyax+C3C7t8PUxUocKaHhHZnCvOwDYr9MA0cVdTB1MVLx8V9MnNu3NLepm9LbMbMrF4fjXEUh8srfzsyDfQ6VUd+DKSuFsPCoiidC981oggQvQdEm4CF34KCNGudcBDHLrKdIiy1DSantGBgcUh5Z/pWtL4ApqZSBFTiyI++vj489alPle85CiDtkdHc3IzTTz8dd955J1asWHEk10JHuSfBy127n+HdA3l/P/VlznOAOIErZLVKW2JTZbRYYOKkKVB2QQ2NqJi3rEvVBfk7SegBdL8AuaIwXK0FZ+j8nrNdfnnTodqktvBba2DWLIM5pkdMjaSw4NfBHwFD/63P5eycK7xT/kwlar3ZES/izUm0nV6PaILaBBYYTotqnnQNNrwG6BvQFnFQY5+rTjGx4Wy5oPN16QCEYLiPVKRrusDx5sOiZ8DVruHP3muBxQANbZiIKUnM0YKnFZKXzu3zuIeprW/V7ld490y4gZEACxImWq7GuTIn1c+fOxr7MEUyqXLFzxU9gY0sPETnn10SP9cvOBxC4Dj52R0Yge2fAW4eBq55APjvu2EfvA/Ye38ZYLj5dYozYDeirVF9AXgepAiQEybvbx8ah717CFZW0tRnIFg0Jl0cU10FU8UCLKP7yMQtWAPqS5CT7yh+/B8TcZB3PcxrzJ1YsgB2DwN9E0B3M9DbCqxrdYUZBY/CWmj64rKzS1f9/KIt9oiTWfZBOW1xr5yTro/ddQB230HYsWFYsjtiztK5Ekcva+CJfB1GUSgUEHaLk9WrV+OGG24oKQs+9NBDqKWfyyFGpSNwGEVo5akovuwTsN95m9x0TdJZ6e76H6XfiaANRYPYNqa8aggm51ZSXMEStNZCZri7xTJ5jlNi1lkRywotDCvtdjfz5+N+u4wJ+tCTadBWBn2VmGtulUxOt8cRiEeBUYAhEzNn6G1rYHdFgf4AX55iNUE2A4MgSObD+Wl9n3kFmJV874NFCrXofddAkGykHq4HFu4vP2/uTqB9BWA6gMTdwNS0tq1ZnMQcMp6rSyY8j85nkcQigMdKJkSK4xPiK9yfDhkCLEBK+xIYq3D1z3PJxM8OAzEO3c8AijvLQj+hBJA8FZh3YkfdPUD9BcDQ1fqznHsVeVrEYmBwzFDn5IsFaFkPjE7qCIirfnEDrC5bC7O1v2I57IrlYtNsBN+Q06JuzZrydoV6R8ohDZ0CYE4eIlfr7HAQK8Lz4a+LSAihE8uSySZSBcuihNcgV/pSaCoN1fL68Oc2WaXnkjcvfolehXvPHB0tw+UiNwgG3K9eAhilwmQ/0JN2xVgljrooG4U+/tcfRlFVVYWo02Sh0ND/+3//D1u2bBGBpXg8Ln4DhxqVQuAwCxNtg72TVrEGOMlxw2W0HRLzIVvP1S51BTg+qHE3+nmd4ZKeRYGVbB+w+iIg2rf4j4Aobmr98347n1M+N+l85JYLR78KxqQA0gwZTI4eN+AoXbKi8zKxTH5MAGxtO50jifsv18TGBNwegU3lgOOVIyviNZ01+odNKWW+aNfXAFo1x08CZm7WRN2z2skdL5RpcvQLmPkVQPhE51OBzM26ypcNs+U8437eDcMRA78mAzr1DK46RXchkHza29Upj4mLx8T3b2t32IMW10Vgh6MADOwGWt3qlB0AL0gkLn/EAvwvUNepvH7uS2EemKLgkgsm7Bk+h2OJCDCkRj2cvedyIUSe1uJc/0Iw1H2QAoRJlp2RGS3CyOMnUr/RXR/EDXhg5YqVInBkW84Fxm7Qz8cLPfnjTVDDwFlYE/PA7ge1I3btCdwxpgC2H1kMNNQvYoXI9jhSks+bAEMWIg7xX2SXyeFbxlLAhtUqGuTDu0u6fSE9EikWBhYmTswBqawvBQ5+BWh3+51+FJvpSlTiCIwrAzbDZA3cfffd+OEPfyhdgpe//OVSKBxqVAqBwzI4EwZwyYeB6hBww3sFsEWrXM7F1cxNhYcsZ76ZkMi/lhZUmRyw62e6Wk+yLezQ46X7qXOV48qflC7K6jKx1FSJelypdiC1Tla8gaTJwoNYA26bhYG4BPrNkhLGNn4RpioCe0yr6hXsGVfKI6ljXM3OEBDmkOpBkZw9PwJaW4E6ktRDAMWUQjGggdrzpOexhZ0T/roY8xCR7yl2IpU8B+NxFj6WL1usRkcpW29lLNRKZ7fH88Pv4+58edfD6qBrI2WJV6iQD5M+ixRp20eAJrITCECk7oIz2Nm+TTsl3FeqLXLlLyvnaccSCIxrOjsRTZJ9EVj6sMPQuUrPce3pooWADeuBfbuAlauciZPrulDtkCv9XbtkFW2zt8PQ1tij8UeHYYXCGIEh44FCPhxjcF/npsteFQT6eTDS+LicB5n/U3MiYmBqAyMRHxznyPuQ1bJk6ea7O/764bEEDYZEypgaEeq0JniEwm2wz/lb4PYv6ns9/4Mw9GmoxNEZR4Gg0O+Knp4e/N3f/R2eSFQKgcMsTNdyhP7jf0rf2+n+cv5OqyysrLZ3zgA1KeCkZYAosaV0Np4vwO5PA5sanA3wnNIQJd+q6l+R7daBDMyaOnXcY2SywAhtaQPqeOI9T7e8kK4Mp7R1X5guIrymRW/qVJXzwUQ0MuHm5lFhLsiKke3jmAVG3SybgkVMlGxrM/Fxhcug6t5MGmhoUwAat8cJBIsArqR3fVGeZlt7Yaavc7a8LHLysBxpXHM38GdnKrffTS6kKyF0trCiz32iErMgf5xUTFzQ39MjgMh1H0ze4ujHbgiTIOf7rlvCAyTOYNKNE2SlHCsrNApwU0c4UiwY5zyYZzeGv6aaJJkBrsvDR71iHmf3YjHslCOHf1rep2NeAmTu0m3VtwDJRmBwvxQqhgDG5hgMYrDjEw6Qx31LSMfAiJKiM0Ziq16Aem7cs9rpN/Qf1PM2O6MrdKpQurA8b91Nuu88Z8Iy4Hipttwx8hVpcxKgFsCM8xCobSobMlEE6r47YPnZ11OASVf/8pnl8zD7vw3bVAWc+j6EOk98fH9MlTgy4ihjDXicAEGBBw8elO+Dceqpp6K3N6C18hiiUggchsECoBRcuQ9zpWgUgOeT7HKKv7CV77IZ27eNBL1NAUmrEr0HB+VXAiBk69XPYvszMBvrpaAQPj9ny5QzJh+eGgDzg7oyy+e1CAmzVV2AcSvY1DUHkbwYCJ/MubNVmiHn8VzpeR0edhom3ZycjodMamMuoazvET658QZGHD1wBV4IA3KBuwt/z4AC6Vb/FUz6hrKCnw/O4evPBKZ+rkY6M3Ow375Z59LnHwN0XgTs/5ImWuoSlP6g6HdA8R1HtyR7YOlK1gdZGoKpWPJ7maXPAQf6y4mb4wR2COKbgOJeYO1G7bZw29VVsATt8RyNDKmWQjwh7XBZgROhz8TuOyxMrp0rXZfFFUo+Jm7SGb5eLcDcrPDuTf28shJcWM7ZUzMwZ6zUFjxHAKKV4IofEfURkMli+iStr9nB8NdLMNILqjPQ3iL7aNMZGHatGIHOka1rlgJU1AdlN9nBciJEVNVk54jXVDIGu2cI2K20ULtllTps2gKMYAuc6NL/EcX+fbCZNPLbt8FEDSKrlsFgSpmnrZtVybMSlTgMYnx8XHAAHhhIF8JgfP7zn68UAkdlsBjwYjUClvMywu5GzguFKzHOjlZUw5BZQoBZTwfsxHQpIdvaqBQOZn2t46/HVWGQq35SvFgMiExtDjZXhOFqfdIh7mN0BNTZb93zl6FAHXjfq6BoDFe0TPasVXxS8S25eAxm7SrYZXMyazYUleFx1DUB+50vPW/61LYPBgFxLFIitbrt1hXSGTDCxXc2wtM3KV2yLgH7ohM1gVUnle++7/vawpfd9C3qAE3Ri/94+iDPZZAaKccQAWqa9TULGYcXCAM7dmnx4pNl8I917FdAsh3Yd6++H8Vx/HsIe8GdN2I8vNERuyE8b90rdDzhE6jYLnPVHQcGB1RcRyiPZE/weggBTLrznOG7rgSdFYsFhE7rVNVAKhJSt0Dev1AGIpIh4Lj+mHXugcIgcO/JY+P2JzjqIFYlUvakkGsxJEJDlkqE3C6xJjz/B1LABWt0/2aokphTCWFhJFhgol/Fgkrn2AkjEbzYeKZqMFDVcsULgfEBYZaYtvIKqLjjVn3ZutNhB/dj4Y47kP3XdyHM4+bjtWGENiQROkWxCZY23S/+SqUYOFzjKBsNXHHFFWhqasLQ0BDaiV/6PUSlI3Ak0Aov+44kITu1B7jjE3rTnKCV7TzslkaVFG5/OjCuNJPSfF9c2wKXgHjNFxSgV0LwU16YM94sMMuCgPLAWVUIJIbA50+iwfmeRIivaBbguh0Z1rxK7feaViAzru8xOyOOczZCYGIRpqVZ0eEEv+UoNJSGoSGQZx0Ed/ChrcBJfwWM/RxmlVOOI4CR+yUJMALLhJKg9S8tiClKw5V2FqaOrf2YE6nh84kJqNFWNJMWE56TCEbc4QK4La7u+WTiAZz7nx5IGJao+tiCuB1KkcDVOVfvrtixfRmghbiAAC6TY4zJ/nLhFnYujjPTwG+26l/lGWt0Hi/0wjzQ3qmJ3tsTdxJbEFHXRQYFm9hm92JPdEus4QjFSUgzWAQsc7N0X4zxGAnQ4/uw28BjYxdCzofn77tigAUKqZayLWcXTRBhlnLXrABJT+TrCrAEJo7N6sp+2gk5JcggiMK2x4WtYmoIwMw5GmiVFnY+iGWoYgekSouEsJN2nrq5VFjZ7d/Rrss908AbviXFQOG2q4Cv/rM8pXD6M5D/4X9j+LfEigCNW2oQ7YgjurFG99OrM7JDkZ+GQaUrcFjGUVYIDAwMCFvg91UEMCqFwJFSDPDfjvWwy46FHd8LXPXe8s2fN/Id31eZXh8uCQkS+4SXAvf/QEWGmHw8KExYAa7DEA/BckUs+gBu1eoNkfTdF69mGeMpoKvV2SOPlVfba16m4jL3fE6fx+TDebVxSYvUPT6Pyaq9Q5MPj4OAOyaoGafK52Poe0BVsyZGl6CQJyPC2RD7akU0E5i4snp8THxkQ7ANTxXAgvsdiwMBBpKTHwMmx1VSWECVbsUcq4PlsWZHgWwatqFDOyTED3AM0d0O9A+jkC5g9rphhKqjqHt9veozsG1P8R8moBCLACZeGk01As84HZZeCe60SxGTm9LnUiRIBJaiAIWB2CGpc2qIBDl6DwR2T/gv/QO4lZYOtRemNTGLkGBIhyCmKoEzfB/aXvdokcfiZGpKAYNyHRGgOL+ou2EfmIbJFmFjBoaGQwQMeovsRAi2bx6oCQMdxJBM6+8pHsSuD8GOLAIa2x7pqgbyBubYk2A2AMU7b5YRE4tUS6YGwYeT+10nywCpIZ31fv+D5U3c/lOVn3ayx/EXLUOEbBgBIBqYZsdU2bByschSJQ6vOMowAscccwx27Njxe91mpRA4woJOa/yylzq7Xa6Ahx+EHf+kIMPNxstUdObAx/QGufFVMA9+1SVMruhcde218YP8wlQOxbEs8rszsLQKthaxM9V1ztQSBMdkXQdDLYJBir/oc6Sl3tTsOOLzwF2uAODPLc0yPxdwWVpFa0Tilq/repGTC6b6nkOPewEeSUxsm3tL4QuA9G/Lq1jZKa7gF9zsObdYWpetf77O4wIocOO+F4c7JkG/ahZ9hSV3C3daDFH7DBoIUQ6ZwRW5CcHWJxHeYlDfk0Dm5glgbCagt+CCnQdiGaI1Acqcey/pZBSB3fuUVUHxIxZXRVU0tC1VMF2OicCipbbOCQ0yideUhY98V4GrenZiJqZh2tq0Ne/PQSEvUtJyzDPTMLQ85THSnMiPLWbSQinlyp0YETvLDpARH4zxu+ZQt66A0GQOsZPKIxyzkjLHDhfgHQVzOZi9+4COJQXAzAQsO1XpOcEGBG2bzeo1KmpU2wJ7+90o/roP+YEMonSupOgUcRWDQ+68UTKb59GISmX7c1qBVTWI0KNjIKe4mTaPoQBMehx44GOwx30AJlERJqrEky/6+/sxxaIcwGmnnYaPfvSjQh2k8dBSuiBZBIdqWVwpBI6gEAZBahimtmMRncrWcS7rgHmnbYKd2AdMcmVHJcLP6k2XIwKu8D09jbLBXOGJx4DbUHsCoWwRsadoZ6E4ulAGIzKHhsltdzfYJiLwuTqc11UyCwGu/oKdfr6093nA0E+1BR91crYtFwGDPwIOfk+fV8UVOo9vUmfNpLlJsvTLZlGwKdsB830Ybc8Gxn+q1rdBimBJgjggSsR/mWQ7KA7k/AS4P3ydzNGX/Knk52BqjwfmtunPTKh+Lu6EbQxX4iMHYZqzgock4t9GwyVpgfLOEMuRUeVEYTJUu5a+hU1NSj0jz6HegpAHAuZRHCdwP6kWKduysMWIChPmvAMj298sagwsFRpH58uiPT3LdXVNTMA09RPCMDx2nuexMS26yJZgEifVk4A9bofKgX0pNcBqDyH90ynUX9iEaPuSlbVXp2Y3Q+b8BSARFoEruXaIfdh2vz5pISujg+LQLExvU7n7IseqFtSkhZoD0wg3hpDfS0Ernid2KgpCbbVz6mMRBI1G6yMqwR0Nw65whWtQvIpjLz8+qcThF0fBaOBd73oXvvnNby567O1vf/sjPvfrX/+6jA4OJSqFwJFUBPzglfo96YDnfQhm2UnysxQFL/uy/m6gH/ZLb4ZZUbYQtlnH6+edmuIsLAyiBoZsAHlCYBRQx4JBHw51kh7oqlEmKaEmjurqkxa+3A/ZgfCShOSCq8OxawOrbYoSzQP9P1yMSK86FZbGOZwLR6uVLugR5pSj7XgxMEJKJZ0UUzDNChyzpUTIBFQN1FPYiA6O4yrCxCRH2WP+nomusxmGIkX+mBnUtue+CP/fAQf9yGH2PoCcez/eEFbEkpsKnytSvu7xGJUdLcCW+amrYEjLI5BSZIjdOaB5BLsdTIRM2CLOY2BXkpJJWV4t0AwZCwyu8rnapxhS/yiwZp0Y/sj5CXvsgts3jkSO6YYdH3Pdj4Ans6GvRODz4Wy+4LQceNycSYo5VQDIJ68Duv66E7Fmvk9BcQPUm3Bywxyh2GlXNPLwEg5jwfEIJYpLEsgO4PmbcRTz48AzexFq6tPujC8KfnaTull6jah9c6KlFIm3IrqmF0VhcBSBeu5vQt+P55e+Fuy28OLlOMh7GvAazDinyaBuQyUOnzgKRgNXXHEFPvaxjz2m5zYIBfjQolIIHCnBFWVQl/3qd6K46RVAtBGh7rWaCHMW9v2vRTFuEA4UAjg4B9tZ5RJyERifA9jqbylT0Cx1Avq9vC6TDw11YuJZz7BNlPR9Nsx96oVtp9LSZbBtjTDeD0A6Arwpu3Yx29kMoc/VlKtzJitxr6t1ToD3CNIfD+4BjtsUSNQegedFfwrA7j2wB/oA2gsXHlJVQ7/+F5R7BGisAbY6Gt1KugUmYGRFTwqdG2cIOh7ldvOydt0nSivrji5u8ftVRVAG130WwtU/foueyaGDukhel9TCgbRO6QiwI+LOhx+nzKdgOL+nUuHkBMzyVTqjJ39fNBsCegZMdulZncenJoDinBYG4kK4Up8TicK0tSpdtKVV6aLy2bgkOzUFyzENfShY2Hg7aSly8qquyPGES/SSaPfNIrcvh9gpjdJBstM5GAo9tVA6WO+w9sEpoI0mWdStyCkYleDBWF6SsKVIFJM0NRfkXCgjwZAGyyQdpeVxHezABDDo6I2cWoznEE+EMN1fQMOCxcxXvoXERBYmbxEnQ4GeCQtFRw9NqrKmHI8yX0qSyYylbJBKVOJJFGz1H2q7/1CiUggcKcG2so9MHjaVB674qObHNgrZhIBL3obsbB6F4QISiRltj7ZGxaAIMzldNcnqVwVs7Aj126sVLe9Xyj6aE0B90skXc1VtgL6r9H04125w1rl+tU8Uucz1nZsfb8hMQKTYMVmFgi5/rlXPm7MkZTfXPcbN4xmtlwCxDiB7EJi4qvx8Jk4PNOR7ixufu9nzZ1ENdGqFq9oVXCg+BQQ3jmniEe59VsGATkdBEiBj317d145OnbGn0rr9lc8DMnfqc+jSR+0Enhu23Lkqr3LHsnw1MDsB3LFNQYqbwzCNtZq8WQhw/7gPLCCWno+xMdjtCpAzpMKxWJMVN02CCrBCiicA1HUvGDx+dhVC7vv5Oa2dSg6A87BkcWRzJZCfPTggTIoSgI7J0hUFwlJl92LnoOJJYiFEV3lny0eRbV9erTP7oawwDMiywHrKO88DzRQ90iRst0/DjmWALbUwp/XCULaYuI6mFtg8lRh3aaFTKKKQKaL2Qx+FrWlFw/gwRl7zKkQyC/BXafO5jYiTBuvkmDFJHQZiSSifzHNjywUUd/qEt8DUOBZKJQ6vWDIKelyvf5LHe97zHqxbt04khL3PwCPF2NgYPv7xj4uo0POf//zHvP1KIXCEhKnvBl70VdiBB4BffnjxL5nDCha5B+/B0N3ayqZbQLQ1imhbrKRMKLNrorq7nKPcXA6WaPTBSZjOOti2pM6o6UrY1KCqeHwRW8hiROPEZrhqc+MAwxk2269UGCQyXSSJHbKdN3qR4A0rfZCCO16GlsmXKPeeVwPZSWDsh7pP1OYnOyDlaGSL6IUA1q51LokzZR0A3zHwx0lK2tmXwQ5etThxiakQte7Vvljkmvl60th4HNIeJyXP2RuXpIN5MuuAsNNOyBJp70CNPGa673H1PjmpLXv+ITfUKCbhnt2wx6+E4XnjKp5FCbsjfA+i6n1QOGl8RtQjs2M5FCJhRNos4h1xoKFWEzdb6NJNcWZUPoYOAsuWayIU4F4BdpIyxlZdCqUDERgJ0AxqBZkMjlonnRsL3L8bSM+L/4TlStuxQIoFizBdC00B1olascNixQgpBJMyqrckGBRHTeV2WbRwv6mkSEMqFGAaeZNbcmOWcdGI0yqIAnN5sPQsRHLilBj60b+g64XNGPm6CmRJLK8RYSw53laCRt3jdccCY7e5boCz8WZQqroSh2c4VsgTev2TPF70ohfh9a9/Pd7xjnfI92eeeaZYDdfU1GBiYgIPPviguBBec801UiwcqvFQpRA4wooBftnOY2ByGRTXXQNc/dWSJoDpXbOoFRypjcIOZWHYpqYYDFuxARCVnWcSLAItTuedSYZB+1wC+FqpcFgEJgYUUMeYnIDtbtfn1mwCJu7SubYP4aOb8qrdOR7KOGNkHKa2Glj9EsUOiKfCJLDzS5rcep4FzN/rlPy8eBLbvFSzG9LHOpbp+7DQEM164h5S2onoeTYwdI1qAWRuUlU7ourp580igNslEJGRdBoCQxNlp8HSKpqFDM8V8RJOZIhmR1UKRENtVg17iNwnqI77SNoi3Q3jLaqhQOfImlpgKg9D8SW/ghfDIIdt4DETRe8dJUNGioDt/+7GFRRh/PfNiDe6z4X7SY0E6XzEdJzi97tvjxZx9JxgF2Qyo/s2MyddEfFmECXBvCpSNrpikJoIpXBFF1fY1WEYJnV+z9fydaQQevpmbQ1MlrbEORUwYuJnV6SzSroPMtU5ZqVKF/OUkj66Uu1TxYSKRQrVHkUm2hWP3Aw7XdkCTNYi/MtPYOJn46hdE0fk9GY0PWUOM3fP6scTYiHmruX+eWC+ALusFmbXTTpSSjpaoY/EI1EYK1GJJ0eccMIJuPnmm3HttdeK6RC9BVgA+Fi1ahWe9axn4d5778X69esPefuVQuAIDC+XGn72OhTXnQbbtxOorkP8zOdiWcd65N7514h0xmA2KLIf4wtqW8wIriT30vp3GjiFLXQmrqSj7nmHQTdL97N+RjIJw5Y3seWT9yx2thMd/bwmpuyC+tH7x2kkRD8DbpbAQKrdMWGP/Uj3ke3ckeuBxi79PpcGYi7RcWwxPwdbLMBQ15/bFVtlR41jEmbc/zXd9y4WC7I01sfZBRibAFqby90Irp4JKuvpVKEeKYyy2k0gXceL0QSXI7474VuNLBbaaP7DZFgNLF+vToC1dWXGAscd/pzIsXAG78YQPAbqGjg3SUm81NcPhN05AvQQX5Equ/jFnSKhJG6jc/ihKWB6HoYFX3ujfOamQ7dlaUIl+kgsvKgl4WiEXnp6alLPFD8PrqLFBTMEy+dzgS8gxgjs0CQwZ2E6CcZzDpjEkvD5TPiXrNVzdu8egMqO3o5YnuDOB89DPKrYExZOfMW+FFDFDklB3leuRRZ/7OqTTbAiCZsvIt4aQ9P5jTBtcYRJ05hyok5kv8zmgYmskkrIIvBx/F8BDeuEcluJwzSOgtEAg+PRiy66SL6ItxkdHUUqlUJzc/MTxg9UCoEjPELrTwf45SJ+5tkI/eOHkbvyn7TlzVZrI1ekRNwT7R+Fnc4C/eSPE9TFmXUWaKIYThx2YQGGs3QmVEoAMzkEg50BUrz89wyuFkWlLyBmQ0tjJm/+EVJgp6EJpoF/0C5BCxXQeQcIUt5JKKdGHYo96mRzC5pQei4E7roKaKMTnxNOmqQNch6gdgLby3d/SnnxFM4pKevlVVNAFqPFh4H9DFv5/nvaPPPYgrN7tsAVTlm2POY+s2viaXhU+WNwdNDRrYWBV/jz3H0vAhTU9GdngKtnFlZ5GkKFUNVbjQ0fXYVCf1qEfOKNEbWWjrOA4TLbsRpEXIk6BMQpRGHqqsSeWYCCsynkJ7OIukIAzaQrcvVPvIdRxP3YiBZCPD7qTvSN6Hw/EHbrLELHNMDE3G2EuJC17QHHwRxMej8sO030FWCeZ6FRExUaqN2xD1jWptbExJNEI7Ai9JMElj0T2PYNfT67J9LCX3KtsdP/vA5E2vU4imuSCE3MI0RmC/ePmIS1NcDuNDCZg72HUteAfVaHAhEZg1cBkwnYqrfCJFmoVOKwjMMjl/9ei4K2tjb5+n1EpRA40imFs0OqK0AMgaD5+xHq7oINhRHqDFAIyfP24Li4ATa5NjeDN2Of/DzIj8I9WdKuCCJz7oWc95dsh93qTrT3XZubN3tveyvyuRaGxULJeCbQfud7lGhjjp/f/gyRFgbbvs0XAlTlG/uxPn/wlzCbV+nqPkGZXUdRk33IA/f8h26/qQ0YDggLrVyjlEbR7IfT8Q8g5r0GP4P76kGDgTBSQAQ4SDwPkQhsNAbjiwBdUpfVFQm485S4SIB2yA4Aw+v6sxtB4x4vhRuPIbaMfL0E7G9HgdEFYJPzkRjoU0leGk5JISVExdI90pLOR7Q+tXvunEEzjaX8/pPhkXVjGp4K38jh+Zuc1dcx39JbgiMjQjlWVCN7/bAs0MPtNYu1FsSRkYDGGkfPXFAQYiqrctSDcwA1CDiecKMn2RdiUsSh0Bdq3A5EjdDGw7BjVG4siv02b4bhRKAo47db07AnuLEGMQnOX6B07VLBYCqHMBkxNEZiEUrr6MkfwYaeD0TqYWIO91GJShwlUSkEjuQi4Ht/KUIskoNe+BXNi9/6S7kxV73uLcDId8ovqFO0vSH/n90Brlp99HTLDdMODQgX3zY2wczNqZobgYLNDm0tlrNMpOwwOFvetKOE8fmkh4nqnmunM9lz1Rtnqz3QJhaUu6d60WyoFvb+HTDFnzigYRwYJlOASoguYwndjxK8dO87oPr2LDrIbOB4g8HOAq116YHgg/K5rT2avDPU7WfykKWzdg+4wua+SJJjez4MOzEm25HmhZgpcTYfUk0BFkUsKpjvPTtCrIa9cRFX3e7PbtoZ7jAZSeeAxZhaJ9sMQZSBhQ5n+97aV1ryIZhTW1SR0VCRkWZDjhYnn7hbvU+NofjbbSjcMSrjmkgHiyteHznYXa7IWUNr5WLZTng2Bbu6Xfd/JgXT0gA7TJ8IV1hFDLJDen1E19cgVBeFnc+VhJIsFSKHB4C6hI4zWJAs8LwSXEk5abJRnGQxZ/UEkvKcMqgmuPavgbGfqFvj9Ky4BMoYgHgEFqkiqqQnx87lYbgNObcsnCgqUB5JoI4dHT3O3FxROiuF3WkkyVqgUtvxLwSwQ8/7wFe1t9P7xkoxcDjFUTIa+ENGpRA4oqPc5rZT+2DqV5QtgL/2CRSbYjBb6nXl1ESaW0jBWGGrM1qujn0HgDrvFAyaGC9r7jPhCWDOrWL5OJ3/3Gq0FJIoXaJn4mMxQZnbkO8YOBe70vNdAl3IwtKFbu9g2TPBMwFEDMiB4pjwO3sl6ZXmzKKPTxpgBtj6Vd2++AaMAStX0rnDGfR4jQNVKhQkezxZTkrsenieP9+TXYxYTDnx/hzv3gWsWCUFi6xkE6StceXriqlSl8R1RkRtkeC6WInSJ1EswpKOSAbGFP0Q2JbnfD2qzotstfN5NUkxZlp0A2MxsXK1ds+TJwLpe1X9kBLTy5sQqS6K6h7uUpnSpmNqVYWPSZOrfC7rg8ECbYFmQLpfprYGNj0vqoLZ8QXs/s9hOc1r/qJZGgWS7OdzwL5+YGsZxGRP7dW5vohT8fMDiuT6E1jIt2xtg6GoEHn+8r40cWrUzgY7Kh6o6YPX6nTeAVnDwEAWRYozMVqjCD2tQy/7zAJwVgJmXTtsbRWwrBNRFgeDYwgRX5LOwcbZdWmGqX2GsjkGnCx3JQ6vOAoEhf7QUSkEjtAQ9sBZbwRuuVwfSI3DLD8LePmXgdGDsA9dpi3eNDX4s7B9aRFi8WFP6YLJknvN1XBUqX4Um8nOw6aLQNUj/PUwYaYnyoA7rk6lKHDIcq7wmACZTOkE6MBg8jsa7XB1zza+9z3g82wOtqcVqKctsEO1+/ECF3tpatOnyy11Jvb5eVgmELEYZvJhwqOsrdPyJxKf4jhMYZ59QHBiPKGaAaXj4eo3UMDIstTAcv4/PqrdEGevK4I34hNAISS23CmeM6THw+fI2IXL0oVygbBEe0iLK8UEKIKftD4WEhHpFkjab2zQAoJGTGMp1XNgEDNBsSRKRWecZC8jVuOOVeeKi96SdsGSpPnlVlUsAAlM9DLTfHyYnQtxGVBPiQfL45LCSBb2wWmYZdSViAJTS/QmRP9gShwrZVvRMPK3TMC0xhA9pQlmbx+wnuDGAjA6qMDODMGBZwKpr8AOjQMTHLWotoVcKwQjbqPGgMM0zLvPLMPz5YrYS94Nu/PLsDYE01EPNFUjRPfM+5ViaFeTsbEA/OQ9Qigxz/kY0PtGYG5Ur9sKm/DwiUpH4AlHpRA4goMSw7JyJR3r+k+gWNuFUO8p2kJ1Ii4CpGI71ed1rrIkAiljCYDO5vJlsRkmTnLsvXkNGQQsHkSZjm18ism4xOcpdxwTBIMAOSL/ve0u329mUleFNkBbXAJMtOPK1zdc/fN7AuRO/CvYHd/SRDrnCoZUThHuxRmh19mW2jLATVboOTVMStChL60dAo4fXOKX/WGyJNecWvx8DYsA2gIna5xSIhOlAzjmMzpSYBLm6j+bUplhRit9FK523gGu0PJBuiLxGHtmVMwoU4RZVaPFGsFtgsJ3aH5iB0bTsCO0Oa4FamkiZGDEljir+8zzx8dyc7AdLTDUVjiP4DwDNNQBUc+aoIAR0fpxYHAqoChJOmMAvOgiVhvGqmfWojCcFSGqwsA8wh3UEXDFBGf/bQ3CDDCgv0IE2Ou6BL3ViJ3p2A1TC7BNcZitW/VnAld5jfz2n8oUTWZpdgF43CyM/PM21QH3TCG3fw7hjjhCLTGVruD1e9ZbgXADsIeWzRa2t1npiY2XALhLt9F9IbD3mvJY4Rf/AFz0EeCBj+q1dcbHKwJDlXjSBu/rP/vZz4QueMkll+C4447Dvn37kEgkHpc9caUQOILD1HXDPv3DwH+/XZMbZYcv/jBMsmPxE9MF5OaLiJ3eDNPkkgATo3WIdrbXfRuazALmYyLtg5RAD7ZjMuPvvCkQHxfwl3WrYSZ9t3rn6IGr6SD1hYXC1IS+bnRIf8+kzo4E3Da4sqX74f39soK1LQkF08Us7D1f0pU1kydz+HxB3I0JThN/Bbb401nYNZ3K36fgD79WHAtDGeZ4LSwxBSwqZNDvuhvFWfcv6Yg8VqvyxYWc0hZzXLU6VUMv98wiQPTrAy38mZudsI9L6ixg+JpEXDj3xZE5xR7I6wOFD7/ncQ9Pi0CRwN7I9uAKnAC6qVkRFrJ9VD50bAfu3/Ss7LOAMnO0QHbUSiZ9jiCCQdR+bwvsyHQpQRbTBYRoEhSyOo9nwRMPoWp5FSzxBtvSALsCPxsGzmyEqae3Afcuq0qFAewHi5v8PVOIblC9AH0w8P4bXwzUtAH3fBaWB0EL6gZ2Evq1e8UOwJIg9qAwk0NoBRkOPI9h2Ie+ADMyAVOlWBTL0YvNAWPfLr/wFz8QLQSsCdBbM0s8FCpxeMRhKig0Pz+PBx54AL29vf8n+p/ug93dCvguFAp45jOfidtvv12Kbz7OQmD//v344Ac/iOuvv/6Q96UyHTnCI9RzCnDBO7TFTGbAN94COzEIvOzNChJzbL3YRifH6oNgNbbb2YLm3Fa+n4elVGxtwq36nc/ACFehgeCNl4mbyV8AcUzq48DMDDA5roWAgOKWgHz4OGffBBWKCBApjRktDNh14OspxjOXBXaPSJvZbGyBaXTFS56Jyhsl6VfhvhnkB6kwt6QPzx9925+RTcN6Ax6CHCVcIcCgDoB/oac8NjYK3sE0NJdW3/oy/kuWBJOuU+UrHeN8uZXZ3ArUVAG11bA2DGwfRyhNOWUAO9PA7jlYct8XCoLrEL7/zDywaxiYnQX480MzwPYJ4JvXAjf8St389o2okA/flp0LOj/ys1rWDXR2ic+A/Mwii18cHXA/xmcVfBhPYOHbB+QLY3pO6EtgBueBvjkYJlDqEXA2z9PD72sj0hmQa4gdJ2c9jMm00k97qmF6axA9gc6RgZs32/3+s7G7YWdvgWUXaWJeH8/TTTAE01IDtFfLlEnOxWAGufEcTEcMsZNJYXQW2sMpYF8ADBoQwqIKITY2KCOCdEt2Go65VDEsLI5aNgNnfFy+KnLDh1H4v6cn8vVHDgoDUfjnb/7mb7B27Vp86lOf+p3Pf/e73423vOUtyOVy4i44Pj4uHQB2A3yce+65GBoawv33B0aDjzEqHYGjIEzz6nIq6k0A33irrJxw2jKgtRYYntGWqpdb5T2Zs1pTLK1OJbGEI3oz5eqKXQJGgTfqPDA1DcsZO1vOovHvOgTi6uZMarjK94A/T2zjvNwD35icmMjE6Y+rSaoJPhPYdzWwzAm+kN+ep+McE1bg8uXfcnVEUOEikFSwyO9MYeqXE4gkY6jbUg2zzlEC2bIeoYHNGLBhteoQTA8C0wa2oVXHGVzJMkEIzsFZG3sQYaQGdoFIdmIPyJGvVXBiqRBgi5vgvhk9F1RhZCFFqV9ur6lJmBKWCZL7G3XnNHgsRNkT7EilPuHvs7DgSIBZzMJOzgFzS3j9pOTFwjDEC3DfKVHsOxIel+BDxjQU7Zl1wkE8/2rJG2pJIPLsTh13RAzsXM659ZFNQlCgExUikyERRi5TRLQ6hNB4DrY9B0MWwe4ZGAodiSQ1xyVE9LvPy71eggBGyhIfeyzs2EFgd19Z62nrXvmc2Y2QDkiWjoUL8r4UQ4qdFReRoEVBwaXxeS2aVnbAsMjpepr6QGQyMKkDwDEBauzOb+txn/shmLqKqFAl/jgxMzODO++8Ey0tLfjtb3+Ll770paIW+Gjx4Q9/GG94wxtw1llnoaOjA3/5l3+JWjKXlhQxLCq2bduGLVvU5OyxRqUQOBqitJp1iZkUrEYDHJwETnoJ0HSdJorpFOyc3milKJjOwpJW6J31hmalHS00Lq6URfWuoAh3RrtD9vsQ1cGErvCZ2MVkyD2XyoIsHNi+JTOgpVV0/Y2zBi5hBRbuAVauJfdL8Q4tbTALA7ANXG279+H+NFA8xwENyW7w2AjRDOJjupKXY2OWkULH4QOEs85z0upm1wd139vWuK4AKWk8h+S0s/VNu94cLBMtmQ8icOS6C8IscIDGMDsLLulVNQA1Tr54YA8sTYa2DygtcWWzotaTcdg9M5o8uc8Uw2HS5ykdy8I0x2HIbORxcY4fbHLUxGAuPBbGLChoUaScXaHAbfF7dlUc5kFwHrIiDyTlOkdjzGQQIpCQz6P5lC8QuYLOFGB3aos+R7W+qggO3DGHVeeqXkD2tklECBzkS1jA8FJpjSsIkYUAiwk6E6bysBx3PDADbKmHEfECFywA6WuxkIehyBEPY2ZeGC0mXQDWJrV4YgegqxoYoFVzGFhPDYAwLBkWpHoaSjNXARM3abeJ+hGeHcGuRTCShz5XrcTROxpIpVL4zne+I6vyN73pTZLQl8auXbtw1VVXIZvN4mlPexpOOeWU0u/oF+CDq/sTTzzxd75fV1cXfvjDH+IHP/iBGBCxIHik2LlzJxrZqTzEqIwGjoIwTT3Ay/8D6KxWutj5L1dNeloH7/sxTCGnrd/6pM7NmTD5M1dXXM1RVnZ0TtTYxNZ1wcIyWVOfP5BHpDqlgh9nz0y0wyPA0JCOCoTfviT6J9T8hgqD1CgYm4AdnIBlR4A6+Wy5C0COLWiudB1Qb9XFMNVxGPLzWWgwmXK/I0zQIZVLHs4iHDJoOKsRdWfUw9BcafuMtpaZlGrjQA/nciwSAknIq/LxK3k20PYSoOs1+m+4Csb7HMRqYUgXrKorjxDkta6IIZsho1Q9jQBWgHLKjM3dwLoOYO84UHsqkKCrYQJ2jB0NoLCLNLc8cMcUzEQO2JlS6ieLMwa7A2uSwMntwIXrYHLq8GjY7meRtkBN/4ImYQbHKgNjsAdGdJRByejaetixNGyfwyqEw7BTpAm63eVnzuuAq3hK9hKbwbAWC6kicpmCdAT23JjC0C3TmLgvg6kbJjHz22kUJtntKWChbw65IaUymvoqLThobLWP46cibEerdjIIQF21DEg6xcNFRaWF4cPzRdgdKdjd6XIdxE4BsSDuOOl34L8nLVG6W0vjKe8ENqwH1q4BLvxoRWL4cI4/8mjgP/7jP8QJ8L/+67/woQ99SBz/lsbVV1+NY445BrfddpsUC+eddx4++lEFogbjjjvukNX+Zz/72cf03iwg+P6f+9znZAzgOwIcGbz3ve/F4OCgGBIdalQ6AkdJhHpOhr3ww8Cv/hHY90Olc3VwFccVeEQb9eI+yFVbIGlPLsDSophufF6WNVhEs0XPx2sSSnMTDj8BhvMqR8ybO1fHYmZDKd9a2Bk1hpFlYyQKy7Y4xXQm0kCiSrsC3C/SAts6FHFP4J2P6duA3mVA+4uB3CSw69u64mXRUsUkEIc5tQrF28cQJuqe+ztAwBi7IVEY5x0gq0iGHC+7A7TIjQH1rjMw/UtgrhqoPQeI1MmsuqwO6FgEMu4ghbBeRxZCR+RKOAokm8qyw9J65/MX9FxWV8F60GRzDGbyFhTnLIp3TAEzeYz055BPF9G2YBFNBOp1dja4n9x3sgVoYTyn83TdMz+ecJTNZgdCMiHY4UEdCbGIYuEknx/PgYFpiAF0AORGOCZi25/vxW4AOy4+68ZCyEUNhm5KIT+nD6YjUaQnC9jYYRGuCiNUFULjUziLV6OgmV9MoPnpLUtUBw3MiS2wM3Mw7Uq9lM+ZRWNLvWJK+Fh9QhUdecFw/+E6Dfyi/sHqZrVj5vGPpPR5lDrmR8Sitc0AO/th25Mw9JLg72ubgMZlQMqdg6Xg2UpU4nfEySefLO33HTt2CHJ/aRDM99rXvhZvfOMbS8n/jDPOwGte8xq87GUvQ0+PyovztR/5yEfw3//934/YUXi0IC7gGc94hhgNVVVViRnR3//93yOTyeC73/0uqrlAO8SoFAJHU9QE2p8zeeChcdi19UCALRbECWgLuSgrUvkVueRNVTAEfQ9Pyqzdjmb0RpyiDbGK3pQ4/S1O858taYrljE/qCjdXgGWSqI4JBU7a60z8VTEYCht5TwLPTNCd0X+4bY8x2PZZfT9RF/TeBGU5PnMsjYyIbTAiu2uIhxCxogBlj9HcotvlCj7cAkRIW+T22JaOqPERoQ0tz9VtT1ztEjspfVGdPZP5EFf2g52fAqJMXo5+KI03tuTdOCJBHYKRcjFFHMBcGqY2ivBF7ShcM4y2TREU5lShEMvYmXHP9WOa+hrFJzBiZEnMwgo2IAa0dgHJFmC6jIK3Il5UAKZ5bukd4SiTcMA5oUq68yYYkSIsEy3HDEzaPUl1LRzIIJYMw9yW1vk+awnuZygCE9IxQihG6p+BoXofx/ar5oChrIwCxJ2QeJN5KgJWKZainzbJy7RLxaAwUT8pl2FhJhj/eIrCV1EpnDjXN7VxmNYG6XrYvcOqJ9BRo0DDmhgsi8N7d2iByA4BuyMtHdpFijUBq96uxxt3hV8ljmpBoRmCkQMRj8fla2k8Wlvex6233oqBgQGZ4/sgBoAzfo4KaCf8rW99C//wD/+AT3/608IcCIVCh2QdTHAh7YZpO0wXQhYXfI/ly+kIe+hRKQSOpjBu/ioCOqS5FVSsZWZBEj4NdULUF6DCIBM2NWo6q2FbZ4ViiEREkhWD83wQ6V4Vgh3PKDI75eRvSWtzaHtJ30xY5KxTstdR4gRhPl+U9zNrm1RzngC4YEQCHQa/MbIIZAWeKK/GudJOJHXlSI0Cr1PAbgRphKVjdywHjhjYFudKl/vGrxrHbWeMDQJNrNAdFVCYCAYY+q7TB1jsACiiQYvOs1NYZFElLohUSaRCoUdeBof7FPGJOcEgAuNCIrZjCkVEWgnODAMdlGwmPoJ0SxYN1DkIFDNu7m+am3Wk4imPtPEVbIYrlshSIP6BuIOREcU6EJdB5T3vgMjib3YBxfF5/QjZGYiEYSazQhvEyiTsnhTqVkQxv7cgL0sUQ6ivJmiUdFGgprdKrqdSoZOMAJuTsH0pnet7YgePyTsU0oCI5kiJGIWQ9XksQvumYNN0ZHS20N1Or4CJnd2NiSk9f2uXAyODTniIToU5LbB4fTQk3b4QU/BioKq5JCFs0wOw+QGYmq5D+EOqxJEoKNTjVuo+3ve+9+Gf//mfD3lz27dvl3/XrCHGSIMrd9L8/O+IH1i5ciU+/vGPy8+xWEyYBI8l/umf/kk6DOwMnH766Y/6u0OJSiFwtAVvvNStbamSlr/w65m8dysLwD61E6anCaY+D4w5+9lT6TIIkYX1N/FSi5o3ZH7xcSZ55t2hvCLBZwcV2c8V/2BanOREmY4vv3kCJluArYsgkozANMVhu2rL3HYmNCZu0eDPlA2IJOnSQY/+ARaopiodW9CuFe7th8lEmCeS3yWGNd2KNWABQyoEE4aX/qX3wDLXThPTnYVyK1+yIZeflFLmLJDiQixCcgDFe7hPTafDpneWQYNis5ySzRkZbIvVjVonMzERR5FKaVFWxxY6QZazQLWFTecQOrkReHBakx/n39NUumMnIaIKify86DhIp0WG7wxwlEKfhPlx/dmvZlj4cFTDlqGfAXV26P2P3ReCHnmuRbXRmTxFQsj97xiiT219OJgqb1Gzshp2Ki8CfE3rIwLInOvPIcQCk/N+zxDg1lZWI+Q7GQLadDdfYk9Ye4h4UEg0CoSdwsKhp0GKAIlsDvbWCUX314eEqWA2rFCDIp7X/oMwk+OwHT3Ajt1ulGGBrc5jAinYzQ0wZ74OGP0f3adVb9Nu0v/+rf580nv1vNS0w1RXRgVHY/T19aGO40sXj9QNeCyRTqfltUzuwaBVMH/nEza/Hk/s2bNHMAqPBhbctGnTIW+zUggcRUHPdXvRZ4H++2C/+E8oUgyGcYLqCSwqqrkab2mUYkCNbZwKX3B0oFtVFgGTLb/CBiZBO1mqA5bn+naESdii+MAMLFu47DgkIwif06KjApHndWwFxlxKV7P8wyTTYCYFLO8R3r4UMxQeottez8XAzqu0UGCwjcxEXl0Fw7zXGAYaGsTm1qYKzh7XWSL7P9TVLwKmfqkJMFoLdK7X9rnPgNFqASnaeo4GSFm7Rp8r838ey33OY4FJlOciB+y9T+fyXJWTtdG2Um2IZwacMJHrMshqnksGYhnCCDXVw+52s3B/7rL0FSrqDD0Zg0mlYZub9ZwxmfkPjp9P/wHVfeBjq9aW2/9CF2ShEtH3ziyob09VFJh1cwd2gkhbjIQQaowhtCmJwsi82vySeUAfCtlXIw2J+hXUQNBbiPgJFFOorovCkE1QVwO7O4X0PTMoZouo+5tVejqHHe2U4YpKM5dTACd1LjhuoJtifa3zf2CN5PQJMkXg/llgfS3Q5BgYBJrW1cGwCEixe+OKXV5fweB4YOm1m+oraxn85p/082ushz39E5Vi4ChkDdTV1S0qBB5vJJNJYQrwK1hMTE1Nye8eb+zdu1cYBhwF8HsCDYPB3xEvQGzCoUalEDgKiwG0FmBFOc/htogGr48AvOFHFtPMuGorqQ06dTj5y2G7mKtnFgxx3txpmEOjH2cYFFTFC/ydZoYWRBUwRllj9wvZIufX/j7N7VIEhw+w3c+WMOfJXM1z5eoSBNo6galbgZYmYGhULG9LM3T/vhwPsDjwWgCyGKU6YBAQeUMZg8DtxxK6OuYSNKGufraYg8lthfWsglitYgIWUkCRNEqXkNmx4Gpf9AqSmnQ5EvG4hvSsFirEPzB5yUDegSP5Ax0dueLncbALUEWXQa865vYxmXQ0S+6HAWacvHJNrX6lM44+OQsTdYWTnDKOcmLA+DTs7bt1H9c1w9CpkVvfy9FNEagLw9bGkLte0dCh53aIw6Cs1Fn0sSBwmBEMK54j1B5DKLH4dpKbXkDaFZtVN44gtjGpCT3v7YHLg12OHiRRcxt0L+R1JUDUGlW4zHKk4YJdh50HgJXLBKdhutjWJ6shwNLgR00aI4vOljhMbxsw+hNg41uBqhYdhTz4CefbEACiEmexMAJUugKHTzzJvAY2bNgg/xJM6Pn8c3Nzog7of/d4gqyAb37zm/I9sQFLOwrRaBQvfvGLZTRwqFGhDx6FYVp6EXrHdxF6678ix0RPpP2GOpjGGMDVnCDwncPf0r8RWY0bBXAJV51ccq6sQzA1VSW3ONPVBtDsReR0FRmPtjjim5OoubAF0TMbEX5Kq3YiiEsg44Arf76es26f9MR2l8VFCDjQLxa5pTEAb+K+zdxQ7+bmS1Z9TIwyOuA+x2BGxoApcvWdToF8BZ5PwODQDsUsiI4Pj8fCcATAtxJAoltlcwzA4mJyCHbgAOy0AxsRQ0D++rK1QNdq3f+ZEWBguxs7sOEwB4wP6fF6hz1um/S/3lbV0qf402qOPlzzoLigRYaXWiZtUpQBaxXwyG1n52Dpf8Cfu1bCVjcDDedqwixa2LpazN9KMSQaOllgSkcY1AsoZvIoMsnXx0ROuBT8DKv4XkzILBSIqwjBJAM4hZYo4qfXwy6nC2ICZooqj2WcJDEPxZ2zsAtFWP7CAQ3lvSlaxOdSu4CCVewkcbTjlS6XNqGIk6iJws5Mqsqkj32DwME0MJQBSMFc3Q6cshyGmhP+HLPAy0wDs336MwvQjZcBZ/+LShqv2ADMXgubKzsoVuLJHU82YcFTTz1V8AZf/OIXS48xgefzeTz72c9+3Nv9/Oc/j8nJSWEefOELX5Dv/Re7DexA8H2Wigw9lqh0BI7WSEQROvU0JD7+FeDrf6+PcfUl+u0Um1HgWmn17YNKblwZ0qI3cL2xzSwtdLoKMnmT019fI+h2u39UkeC84DY0aHuY9cRxnapsRxlZv6HGZlHdKxkVCTCM4kFc2QfEjXwI+NF5IkjecPK/8rNz8ZNJtks8HC+wyKHhz+QEkOTK3rkQMqgSuH87MDagP689EYYdAoIEydNnxDcDu76v+9TWA5uaA25VEJC98HRFw69Y5yRyF4D6FmBqWIuZpnOA3f/jOgUZYOiAdja8aZPsQxVMYxKoycHSephgOQF4BjwKmNj4WLIRaF+r2fIg94GOfBGAngSCfeKI5rf63iNDCIVySPz5WhQfGtYZ/dAcbFsV7PQCTHsMuRsnEVlRI6OB+PM6BdNBDImoCPJ8itogZ+wJGE45JlzBMJ1HqC4i2wAfy1tEV9eg+ZUJSf5hShPP8vVzwOY65CdzmPnCAXlNcSaPuue0Izy2ANOb0JEHxwRYEFYJfSTsSfXIb0/JeIdWRqWRx9AI0OS8Knh99DTpeSVOgawUdwrQdC4QTQK3/qMrcHk+Y8DYLDD+aTUc6uhWcCgLrEpU4lHi17/+NX7+858LZ5/xyU9+Es3NzXjuc58rokHhcBhXXnklnve854n+P7EB3/ve94QquMwrpD6OIC2QX9/+dsAz4/cUlSv+KAybHgRueYt8b874d9jXfRr49b/AnHuB3iC33qKa+Alay+oMVQBqvAHPOIdBrl4l4XpnwQhwUMWATIigQdfqZuJe1aE/Z+elVW/r0kAyoTfqIoF35Hu3uRV+SFvqXPF6YJ3stEvUvImn59w+MHGSXz4MNLOFHwbangHs/y+gGAJGx0Q/H+e8Cxj4lmuRO9YEdQv4nt4zQSiFThCIweTPxwsev+Bb+Bz2/QZYyKi2wTxBfwHjGs7sC1zlO3OiEkPALY1z9wFtXcDEiLNrdr8WxH1gnNLTpb8fGtRzkC0L+YhbYNcyBRpyv9itkIJNOwXUO7CiyzCg+I5EAFDpI0rpYMoxE/SYBxoDx0BlxtG8iEoJFZDjm6kFFPvTCHUnnG4EmyUEO1IbwWLuzhnk7kuh9oIWhFdznEMgaQgRFi98rxYPzJxXcGm0iMJUXr7CjVHpCoV6q5EfmsP8reOofla7dhLoxpjJyWGysCjuSsHum0PoDDeuao/A3nyPuiSesAUILQB3bVcBpAnngcHrSz4zjmTqVR5b2BSuoGKhSVMpBcIArS+EiQZYJJV4cscfeTQQDoeFBUDUP01+go/7ePrTny5aAz/5yU9kpf7mN79ZjIEeb+zevRujo6PCRJienpbvHy34nEPRJWBUCoGjMdLDZcrb5HaEVp0H2/gRYJ6zcsd1r6lRFDefE4sKzUxizTJx67OzpOiFhBUggDPOvCn+MzSsErtcZdcroEtaVbxBk1dfVw9T527GFBMiHbHpNJjCQ7p9WveWZIYVAGcPHtSWeWOT3ryHB4DeFe5gnAaBj7GfAUSTr/gLYMQpeYUDdD8/qw/QCSW42mWxw7b+qi0wyTK33FIEKFINyy4FEfkUQGpqA+pOBmZv07EGTXuKpMzNa2u7nsA8dipcIVPf7MYQRXW9qz8eqD8PKKSA6V/ocwRw6I7JJW3T0Qk7QPc9JsNAImchJMZNbAKQveDAhDRoomDRqX8OzNykxyU9eivAS8vRyLhzF6TGgugeWGBPRoCCZlUVFvZmmKclQaNN5YKFBcCnd9QCU3M6rWiqQripCnYqq59CughL8SPO+QX7GFLdgkxB/AfECXA5Z/4WkaYYGi/rlddFaSHsbsbsQNgpyl3nYU7o1YLtQdedkXMUOAcZKlIOa8OHQlH7tsOyC7WiCdg3CbvqJJjZA+rayI7UACmTIZh1q4GxYS1in/JmIHcLMHs90PUXWoyFHj+gqxJHvsTwmWee+ZjU++gqSM2A30eQysi2Pw2HKETksQKPFHzOpZdeekjbrxQCR2NEaoCZOWAZE/f3YGvo4HcMkO+ATe0BGrYBGbr/qdmLJCUmdjdXpxseHirLatoTuDrVqlzYdnkrYi6L/r64Uibwz0c0BktFvx0HgFg/sGmV8t6pOe/1bSVpUzM+BKw5Vl+3/V4Fd3GV7M1yunvKKHxJtsQPkDfPdgZ/duwI2Vm3etj0UmDyJk3MXCkyAbCNz1FFTcAW2QvskCGQc6vGkX6d8VOwp74JprYG9mknifFSaYkvCoPu3DHYrudxUGiIweIi/b9A8wuAYXLemTyb9Cs1pVRDH+y8TM/Bsl3ObfZ2qO0yaX9sb/v3SNQCvWuB0QFg4Gc6ZuEIhxbJ7nM0K9fCztwHFOaBdiZl0iy5Ys6hOFdA6hal3PEVdU9pgL12SGSpQ2tqEGqmfHEUtiXkWARuPk9sgZceJpaAxUcsAtNYBTQlYPfPaJElTspU9osCqYIUA3quRNlAuhfhxhiqX9CplEeObvjrFbW6zYUiTCIKPDCF4p27EGInQWyG1RjKVlPgyZlXrWqD6bgAmLkShZE0zNCYdkeILeB17Ts11XWAZxnyGtj2SX3P9W8E4i0VsaFKPCmCeAPKELMTQUDg75Ik5nMONSqFwNEY+ZRbATvBlbv/DfbE98A0bIJpOBF2XQ2w63JNigwm/wxntRommYDlipLtapG7jcJwdcUbKVeqBO1ls7ATYzBM7rWUwZ0r0w99S5auhVQj9JK/i8IhzTguYBtce/OCmBeWAFMH3ftkJVyEWUTLscDIDxyfvAgM/VBXywT3DfXr+y/83K0UudqPwiSJeXDKiMUF2Im9TgWwURkCqUFN7vPTJAQD0xbo2aAJPZfRxMJOB5M4Y2FOCwsvKOSliReNCvhQDqb7eFgZNbiM1NANjG7X/aTamRgB8VzxfFTBdHUDGffZLCq3mIDjTvGwANQ1a8HCjgKDHRVSKolJGBqAsQsKvDNGKH78elgwwXcmRJmRyZ/iPiI2tXMGZr2e80Iqj+rzmmCqIwgzudfEYZZRvEgTuenW50khQ/wJRYPYcuC14wWf/EfOmokaF7kyQtAQD8BritcSx089WRh2l0pPcOd19UqYgrsmWNzNszvi9C5YKBQs5m8YRxwRhDm6Oe0yYPZXWpyxICPf1G+v7/O6S2veXSkGnuzhwMBP6PVP8giqHEYikYdpHBw4cEA0CjZu3Pi4tl9hDRyNQV18Gr/wRs1Ew4Qz+DXY2e2w8yMwyfVA98v1uUzeTJRCjXM3Xyb85bXA2gaVF+bfEefhLAbEOU9V5mScwOpUNO9b1OSGojZUB2w+G6alFThpi1oBsyUvs/A5vYm3vdDNv61D2PcD4wcBIuI5UphNAw/tAbbtA+7eCku9/WCQN88/FnYy+HqCA6ljz/fgcXAOTm39XQeB+/fCUkqY6HtRMiRrgl0C0gIp/kM3wryoKRIwJymqwVH6WFywUCB3n0VLbaO+r+T+AuzAADA6DEyPA3VUAXNt+kZF8mPyZzJyMByJJNr0i7oDNY1AXSvQ3AmQ3sfWOscPHHsQx8B95ZfHNPiQjgjpnbGyBXTpd0UUJ2aR//JtMFNpFSpqr4atj2N+Vwa5g1lEa0Ko6ogKY8+O5xFuSiDywjUILWtSamgqC0OkvimiuCeF4v4UwnVRRNqqEKbSnygh8hwsFlNhGNL+ElGRL5YQEKR+xnY6i/zoHAqj9KjgZ7OweJrD7gbP75oVMCeuXmyZfXABOHEzTH2ZA247VgDFB+U6CHcmYY99NYqTecTX1SDEIomF6Pj1wNg+tdKONsBUtQNb3gesfW15p/PjQGGx9GwlnqSjgSfydRgFMQf0GqDpEIMuiMQrUEjoda973ePaZqUjcDQGW9xSAjLp0dLWodZ3fEp+bdf8DRCnXG2NJlK24ifcKICPMVF6q8vmJnUEZMKRypyrUnKxRUqrrG4ngDanMcCIMkG7VrGf27OQEHVAzr9dIvDP9zLDvvIXEBzHFQQU5sr8fBYfXC1zmx7EJ50PC+zfrQmEK2OC6vi7Ve2we5iox4AU98Vtn4mMxYTgFVxSYyFClcMGdgkC5zOYjKNMdKHyvWXrAOyKRhgCIOfudw8SNMh9pHaCVYviXFp1GSTxUdSHzIkFLSCEsmhgqNJI0abge/J5FCoi2p29dz63vQ2YntRzMec7B0y8GelUUMVRX6sAQjubQ6ghIuh+fh6cFBTrYtIZMusCAiucv0/NCnvBEIwHFkaAOdXJ9VLjn7tHDQmeO9LxSNcbHXHHxfFAUVkjIjiV03Z+OofibA7zN07KqUm8eBlCtWEUD9JvIIbQscvK5+WX94oYErprYFNZsYPAmkaY2Ukp9iyvAfpX1HVpD2bz24FIPSKJDthN58DO7ITZdWX5c+B+tjwfiOj1zGJAtCJK5+w3QJZ4l+cA4ScuNlOJSjzR+NKXvoTVq1ejo0MVMD/wgQ/g8ssvx7nnnit+BW9729vk94cSlULgaIwqL1DjYvAgsPElgP2VJt6Br2pC7nkRMHp1ORnLTZ669aFyAhfRIb8a9y1wJo1GTdSPFFzdjd1Y9j2gYNC0a6nLzDsDzH1DEd5M4sQSkBLGVRyLhGgEhp2BTSt1t8YnRDlQigI+jzfy4EpYkOKcuTuFRIIZg9Fep/PjvuHyY6uX66FUB0RvWDQx84lNsZMylh0oloCREnMF2Du26vccX5CiyIQj781kuKAgQxYvdMJbGtz+YB+Qz+isnOZNMloBiv3jImyEtath4nGYOJ37uE+1QDYgqMPCaXxACzF6DDAmxxBCAeZFm4CxMZWWZp20vBZVp7BFb2GSEU4PgM4atfKt42fIfc7DsJvCGT3xg/zdfEH9AnywI0D8SP8Y7PAU0EBkPwuyCEBnQHmuo3Sy9c/n3zkJkGWwdCrRVAMzP6MdEJFgtsCBMWDUXWuzWkSYTV3qpMhrxGs0UGHwpluBTc+EWb7eqTOOAuEUDP0ixPyJipO0P64CYs1A3p27SIOMAjgSoFKimbvpka/hSjx54kkmKPSHjnvuuUdoigyaG1GoiG6HHBmwGKCJUaUQqMT/HcLN5+2esq2EhVlg+/c1cbd3amITx7Y6HSOwbc4VKFvpvOFKe7409V4couVPVT1nHcsbrtD8AsH34e8oGjPlKF5Lg7NuJkoKCImGPyVyw9qJYJLjKMIfTke7jhM46uDrpDjJSbIrFR5ezleEi+iUmABmZ2Xb0tGYXNr+dUmLPP+OXn2ISZWva+x2IwQHwvO0Qh+79go9TjZxbC8MqY0JqhCyGCm7I4rYUbJT7IttdKMmeBEtKsC2druiiHK5k7BDfcBWFgdFNdoZGoJtaoGpblY2AfEOcRYjFshMls8P32N4FOg6FSgMq74D97e5SRQkLc15UlRFdF0W0v3kmKz6RLCI4Y98n+k9D7+UiFso/eBOG68dnuNMFqaZVYOF5bbZBZilbwLXH+6aoJNh1iIcDqGqOw7bWgXDIoQjhPZaYPNGZ7F8CnDTR8sCUixaiBtY/gqgmuDOInDzB12RwWuQ4vHXwU5cCNR0Ars+rPvG19Q2AKsuBeZvLrf/p36u37deWioGUCDe4qlAmL4XlW7Akzb+yKyBP3U0NjaWzIt+9KMf4eyzz5YigDE2Nia/P9SodASO1hCkOdHzrwTuuhKW4DaK1zCRd3gntmqg+qnAHR9S1LckdqcrQElfJmb6EYjbnbcJ1pWlPJFzbuG9T2jbn0lUWvYU58kB5MJ68RZPT6RLIXEF0gnI6vtyxs/fr3olkP6Vbt7LIJOJIAh9o8I8DL5W3PVcomZimp6C5arWWxxTi6Ca+AWncewwBmyTy8p1/7BKK3MlP7ivrJ3gW/IsbhbN3/X8WCZAfrHbwailGyBX1Ey2Tp6YiVv8BggG3K/FUtMSE5GGDn2PwR3A7ISi9Td2wwxPwIQs7NQkDBN5Pgu0Ly8zB3ie+RmxkGCQ2ZCgBfFuPS8NTUrdlE5KRpX4qDLIzgf3s4MrcH4+FmCBRT0HRlVCdQeo/kh6YFtcNAHMfBHFeydgKOfrtQ6oGtjscRJ6XZRcK0lZ7KwD+iZV7bElrpLDfE5rHCE+/8Yh2KcugyHrI50Wt0h7x5V6v6Y08SbO893n0NgN07ABduIuR9+kv4TObeyCgbnnw8DKF+h54We59o1qQczCcsgVAl4pMhjEBcxe5T7Dx68GV4lK/L6DdsOUEb733ntxyy234Mtf/rI8Pjw8jIMHD5a6BYcSlULgKAy6q9nj3gkMfFE41LzRiixrTQG208AMU/qWSZ5UupXlFrgPzzggcn9gHKajoSz7yzY2g8mbiY5J0RcJTHhMXAzOjlm5kplAEN70rN7o2QKfnHQgv6yubBs5Q88D93xOCwcmY489oDY/V4Ft7QpCZLBNz3053gl4zGVg2fmYnhfTnmDorilNkkWAvdaPB0aAl62GocOfT65UCORMns6CmRmnl++DvgsxmEQC9pSTgPS0FAemoVYLGhYgFD5iQbN2CxB3RREBidUtMLlt5X3iORLhI9L0KMBDfYGiuu211mnCI4KeGAxiLYg3EFqiUU0BYTfMlAGcPO88Zy1tZcCnfAZOh0C6AezclH9nCCYNPpef54aVwM49qi/Btj5ZGdVGpIulk0CbYgYZJfwdRwNLu0ErSWmMAisaYGIR2GV54E7FEJgV1cBe/QwLs0VE6nKwFF4ankbh9lEtMOqiiPoigDH9UwFNmshu2E1PAXbcqg6NdLqkYGRmDmbbt/S5p38Qpq6MqrZNL9D3rVqhnQBGxI14guOjpaOkSjy54igbDZxwwgm48cYbRU+A4MDnP//58vhdd92FT3ziE0hQCO4Qo1IIHK0Rryvb157wemDwI8DyRgWDEYzVWAfc9mHg5DcDne1AOqVzdv7RtJwEk9shL7W7hjS5iSqg/kFJWmULmomE78Fky/mtn+EyJKGHYDnz39sP1EXEjlZewxU85Xx9p2F8osy6m6XiIClprhDwv2DB4Y+HSS1oAUrgHx/j+83lYceywicXXICbADzcVdGNkllw8LUNrsBJTSpjgKDJ/FxArZHywwXR7jHkptclyyMNQUWGyr4JIdoJV8GyoxDhH+2SGxGLg/EDZb+HjjXA6D4gWS/jDDs/B0MGBGfn9U4eeX5KRzkM0SuIObdBl+lZjHh6J/d9P/WBOTpwtwAyCESSmRx7cv11JCDFGF9fSwMm0hLDKPbPiBKgpXHUQ7PaPeisEpEiwY7wPSPu385O7f5wH2NxxSUMD8OCzA/X8aHIkFD+yoVH+pu7kPyrdcq4nFxA6jZP9geSmxoR6a2GWXcKTMJRE9lx4XE1NaqV8UHv4DgHW0+ZZD3/ghVgLIwD+z6nIkfr3gUTX4KboY7yI31fiSdfHGWjAcZpp50mX8G45JJL8HijcoUfrREq81BNxwnA8z4Ce/9Hyrk1Pac39YFvA3W1sDOzMM6Ixo7cBsOWN+dSnfXamee8X8YC7q+qs0M9C5brCsxuvVOsZZkoBf3NcoHgMzIMNq9UlDspbyXMgEOYi0c95WAtchMLiOxTPQNLc5xqouiLQE8rDJOigPKI9o+oPDKDCUa+8tq5EODYhLaxRzJCfzRErsfDMDS9eU6XAte4wu1teTjroYRqW3L32LoXptvN5tjloHuieCNQpbEeqGoC6nso4+fcDAua8Gu7daQwtks7KHVuJCBwfIoGccwQB1pWAIU00NoJM3hA92foIDA+BiwjnoAYijiQ7NCuAIsisif4GYrUsbPh5fkVUSgmeDdSKVVZDugIqkU6f4WVZ8Nuuxq4f6f+noqSvGukqHRoUaRhFMkHXP1XR/gITI079+JC6bQU5JrjzzlYilndGTD1ObVNsAbF0SxyB8dQnM0jnC1i7vKtYmwU6VzcxQm11Krtcd35QF2PFgHEL/C9pBh9lDv7/EFg1zcc5oCy0U6rIjcFLC0EiAnwI4EKPuDJHWJk+QSyeQiHXRQKBdx5550yCuD3S02PqGp4KFEpBI7WEE9610pnq5nFgHkH7HXvBpj78jnYbFgd68amYUdnhUdv6uOC0rZsOTtlOZnXEi1eLGpOYfLrG9QxAbsI+QVFoLNYkAkBLY87JJkZUtp4Q+7u1dUyn8OVG1vfk9O6in1oBgsD8xj63xn0XNIovgeCZWDi27BKlP1KIEXvMjc5BsvVbCKhCwYWLrK69ZLHLHZoGZyH7Unq/vF3DeXOxiJt/pFBXdkywRPNL94EGpZ4A87Og8HzwPer7RLvBClewvRbWPI8fVfdptRHxbJ3QJxaAZyTj2mBI0JI1GBwOuKkdEqiTQKJJAzfi5uYmyjbIvNzcgp9EqQ+DjsQJW+eLH64eq9nAUXBojCQjgGda9wLxpy5kvuRAkz8kLMF2LkiCs5m2FSHhWooaoI++DqOdIoGaD4F6L8BxdGMYBwedrIo/dtYj8L4XhQX9PekEFaf2yS21VV9WXla5OVrEG6tArqepkXT5I/Lctl8v9UvgJm9E7a9FxgblO6DdCFY0OXudoWcKgsKkoV4lOGvw8beBEP2QDAqBUAlnoQxPj4uNMGHHnoItbW1CC0xhqNLYaUQqMRjj+BKkDfF9hOAs94Ce9cnNRkta4Qdn4G9ekf5Jcc1AA1JTVr3DorZiz25s+QDIDdY0vs8GO7e2zRpityvbEHn2kK/Y4LoUQW4oO4/Y8dBBZHxv5ao2MrmUwX0/WwSnS9oQbQ1CWx5CUz+Tn0+/xjYYSAQjvLIXAXvOyhiRXKUY9q6l1UxUeXB03DXBHBCK0yzM+eRtjtn77lyR6CpydEn3dxd6g2njx+Pwm5ZDTszDUM7ZNloGNj6IJDYD5x+kSQgshMsj1teRLMjjh3WADS46dwATF0DMIkzyOrwn4+cGxY5S2Z/PauBkQFgYhBIcAXbDZumSJTbBnPe0gKFHYaGOi1MhqlRYLWmYWMgGtYi6ZiexddFzwrYvp26P2z/TxacEyJHC4HPjUJABYI7C9pd8bbMUuDdgMJgGgvXHUTVeS0A8QD8fJurRJFQbKyTIURObcDCzdoVmpm1QmVkkRF/aguwqgmhDqcgmboD2LsVtmn54g4ALRHru2BIpaRi5YZLtfs1e506M7JY2veAUl7pFxGgh1biMI2jbDRwxRVXoKmpSQSF2tvbfy/brHQEjtIwVW2wG/6x9H3JlXDnFwWUZjsuBlK/0dWujxqC1wrAwATAVZv3rJ9M6Qy6jXz1ohYBDKfEhyLZCLmyq9+qk5yAkG9PM4nMA3sfgmXxMEKWQGBfjUH0uDr0rK+T50ZZpGx5BcyB72mS4UiASWrEAf2YAFgYMAneu01X/uTzU9mOq+BJnYfnxhYQYTKbzgNM4P6vQcYMasks+gZssxOASDoj32dqDOjo0RUo95edEo4ieAxFt+qfcrx0dkTY5eA+sQMSKY9kaDGM0Z8EDjQCZKZ1lCAaDV5EiQUDD7waaFkOpDnnNsBgv3ZTcgQX0jQoA/Tfo7x9Bp0LSaP0Rj1S5BD/0ShjG+nomDDsyS+Dmf41DD9b4in4eUz0OYxGUfAkhp9vKAJbn1S6IW1+u8OIkD0gdY17jwd0Bm8pSUyXQvobkPEwk0GobxpVG5LAEMcdBljdALPedR64ep+fVytjfk5M28PuOoqHETrW3fBYhLFbxHMfrwGys0rBFCnozTCZu7Twa3mR7v8wdQOcDwUBnYmTgblbdZ9XvQ5I0MEx/vBuQCUOnzjKwIIDAwNiKvT7KgIYlULgaI4lLaVgm1aSzwMHdIWfDMvKT6heDCZWtpLbHfVL8gVnrg4Qx4RIGeBJer3P6WqzqU5Q4hJ+Lj3HWbY+ZtnibiIocY5Qb+WaE3PQWq2iOigiRjwA49hXAQ98TWfppC+yMCjpCjDZ872ngWkC5NiZeITDLFhEj2tQvnp9PUyt0x/gsXM+Tloik+/wkIrmELW/dBtyvA4ISIngdB+QJijO6SSUzjOTuBP88VRHHvPkwGKPhIlhTcRkHPA53A9GOKoFhC3CckQgAjuATbI4mRbjHXF2HHxg8f5Rc0AkmouqF8AEWx17+HEMXaevp5aC4AJ6F6+ShHUQAtrbtZNQHQdSc8DuUXkZMR+FBdoJe/dEQiEoQFRwssQLZWqhD/oa8DMmjoLaD6PDajrUVYPqNTqyqllIKfA0veTc9zwDmL5JfR8Ies1Mw9R3ANkHgOQ5MOFqIN4Dm3OdEX4+Xa8UhUETa4E9S0WGTI2nyVaiEodPHHPMMdixo9yl/X1EpRA4SsMujAH7/l2/X/EWXWnNDStNjLHn2042GDDHORAcTWM8up7JkTKznClz5cftjI0rspxucNQlmBANYaC2CnBymLLSn+7XbgCTN7X5pTbIwW6nBHARWO+eOzMHU+eEj/jcCVINyUTwkH4DtHaocRFtZUlHrKoB9h7Q1W1DHJaJtd8hzimMRBQ/rXJboE52HU2aZBayukmxEyb+IKIURmIZZDUcUhXAiBYmoqFMTQAKBTG5B6l2DI4U1qwCGntlOzY7A1PIiysjqk8Chq+Wc2Dv3K16Bpyxc6zBEQuLIxYTvhCYn4KtbpVigN0WW90GS3ve3TtEnc+uXwWTmtbPMOr2nzoLcwsKzGRBsHVG2/mb6zhk1IROT4CaJAzlnAukK7o2v8g8E3wY1S5ENg00lf3NFe+gNtGyfXoHXTOCmme2I7yShY1BcXQeIYoF5fKwPE9Lq48NTTCbTwRCOSdh7T4jXlPuuQ2n16N4y6QUnaEzAq8NTei5p0Ljzm1AzzJYfu4siVK/1Oc0vQwm2gS77DLdZ45f5PqbhamqBcKOFVGJwz+OstHARRddhAsuuACdnZ0477zzHuY22NPTg3pSiw8hKoVAJYC5EeDuD2sCYQeAyXYyqwYyQQlZT7WTpE/hHKXL+RAHQnLxhS5oYXMFnYtzEUyTm/oE7K59wLIu4ZIL08AVAkilRWVOsAMOAWx6u4DZaQUi8vfC2w8Boz8FOlqBxhYtAmSHqBqYUIpidzswNKZUuFU9sKQ/VteowyD30bfN/fdMznNzMFRD9GC+8REVKKIWAEcD1A9gkpWOSbT8WjIJ+HqyH1Zs0NY+TwrdDhl5av5zuzOwTLTk/Gd/AbQ/C2bql0qfDDm754N9CrjkuYotwJAO5yWN+f5Oolg8CdixOOdcBRlyNBDOwLSr5LKcDrtLQZ4TcyhOLIiLYHhLUtr0pc9relaLp3CVM3piQTUB9PUBvSsF5KjdG/otRICDB90L1RLYji6gcHAemT0ZFFPEB7Ai0M7Mwq2TshAXPAC7AbwIGh2VlFiM1iTsxCgM/Qvo31Da8WIJd0AnQ2vmpAAtHphCaMsaYMVpMOwYNa2AnRoEaEPAfZs6oF2oanpfUPYyt7gAYBRmgdTP9PvkxZVi4EiJo2w08P73v1/cBt/+9rc/4u+//vWvy+jgUKJSCBytQQR6x18AVa3lpEYFt3WvAq65HKhzq0ORhaUGgLONjVKshb7tKV0R9sRhBpm4wrB+Fk0wHld2owuCmSPX3N4yAnt2Owzn4lt3w6zp0JVn/x5gbFLHCUz0TKrxKk2MnIEz/MqYwdWycPhJH3Rc/dFB7RT4P2j+29mq2yUjgsmviqh7157me4g9sNsmQYYMFiYUBKLbIhPX8ADQSXqfM/fxwdl9oCiS1bucP0X7U6XR+EKAI4+ZYT3HlBimpS7HCNl7gUQTTJErYhoDETjZKloK2LoPZmWdvn9re9mUycske2MkP/sWDIPzEwgEUf3Fq4bKP6+sgVn6NJ5bihvRnVHGEWnVjBjYXy7SOI+PRmBTszBiiTwHEzewq+sQ3p9B9UY91vBAFpYuiRwXzORLp0e/YYs/r7oF26f06zm9ym6oKo9HDM2OnL5DqDEGS5BgSw1ClBvm6IjJ3Ks7tq0H9t4GZNwIoDnQ6i/Oq39ApKE0IjAeqFmJShzGccUVV+BjH/vYo/6+oSHge/IYo1IIHIVh54aAu96jP5z4ITfj1kvBjF8NWwwDw/NATw2Q4Wp5AUgXYIkHIKW73fm26yt0HMAgeLDo/k3nYWIh2JX1yn///+19B5RkV3XtvpWrq7o65zR5RjPKOSNACCGRkQUmmI9twpdN+vhjG0wwwf4YAwYbjElGYEw0SGAQCAFCIJTjRE2e6ekcqrtCV677177nvq6akQTIjcT09N1r9Ux1hVfvvap+59xz9tm7xOSAgjo+IB6V8jqNiYjJaXPhL907h+CFg6IJwNK+Bz63tUUCkicU1H0JoA/JatgEs6AEeuM/bxObrnaZACC44mWA8WSOY+zpZ21C4QVtEuiyUN091u1Q5t5NwNUBIJKQlaYntVwPJjL7t8vtiTR0F0vQAZliYJLC2Xli/RqjJ2AEhUjuYzLEQMj9y2aEtb/RluFZnRincVAUmJ+H7l4HRYKcUWjMy/w7wXOVT0NzZcyWDB0LObIZP8b0qaKhp3JAjAI7NkCH6Yo4D9C215yzIWDisJD3DuwCyGFgu4LPnclAdzZBtUbM6KmvP4zqmQX4h7NSOUqXga0pVHui8HcHEaQrIUf9Zmyi1c5pEQAJ2jWTM2JFjCiUtOkkYHgfVMIHnM0KEUmNYSi2LPrYx7FGBkai2UsxjvkQel4BFe2WZGH+JvmuJ54NTH5DbrfQQfBMK189D/jzUKFHJ1AOywwrrDXQ1NT0hEv/vwkuEXAAKvmjRwqveh1w52dh/GjH6qYGmBxsboQvHoQ+uwV6rijysvUwKnd2db6+Cb5Na4GT7WMHDgPsbfdTbKfGnsfQgJE0DnYtiCY9S/y+gqyGWQFgsPTU6TwkOZbIkcG6/TMOf2Kta+BVCBjsGWhNglGWsj035QndMOgzCRiTlaMOzktFg6v5jiKUx94f2iIz9x7YoyaxIJcC9u03uYIJbEx4DoxD91lXQ1ZTPDQwqDGfoJvgAFCckHPhO4ZMJwcAmCkDWxGoZKHLQSiUrb8PWZrkA0xZ1cCYBFomNkm2ChLw/ymdBuegAwqK5MtoAKo9BvQMSv+f0w5sZxz1GVaA3n45nzy/2TQ0z9tgV02h0MLX24BqqYqFn0wh1Bo0FxQfqgifTAlkChMFoJk4sk1D7QG+6LSXQ7UNAePfls8w1iWkv2rBfD/UfA5ojkCzEkURqkX3S5sIGM4B1QtPAzY/S76//ggUE7XHAxNGCmbxu1F3EdUDr4OKH+Pz4LC8wL+xJQkKKSw3kJtDiWH6DVBR8LTTTsPBgweNvPD/ZJrAJQIrEFw1aVYCCF7syzYQGGJZCWriB9DjRSBXgmY7oKKNaJApTnsmMtGAGPTUycJyzEuXq1BdEbPqM4p99fC0AkzyUBfUqaFPeeHGEkCBoVmOJ+aFcOcZIHEl76kEMnCb25Xf2PPTmRyUUfAjqU/aAtqO9iky2r1Rx/okY9eY6amjjeOBVeBMm8lEzgRaNwJjX5FAxADE15eL0KkMkLWVCK+QTxW9su3/o66NwP2n1K0eEZJjR59UGmgXbKR4ObFQR9xj6yIhjynS9D3TooYzgCPfrwVmThSQv1D3kVDgRyMs+9DSJVUGVlV4PplwEZRMZoBnZWLqMHDksJzDoaHadhaPiUmRdXfk5EC1inK2guy+HLL7c2g5O4GAtTc2qFTl4yCp9JRnmMRItfigIwPABGWIGdQ9qWf5/pk2BCsMPCxjfmT3gxUhdELHToYKdULVC/7oHFC+156Hs4HWa+1+a+iOa4Q7Mv6hR39nRv4devXbzDSBg8NyAJUEr776atxzzz0mSe7v7zeJwKFDh/D+978ft9xyyxPepksEViA0pwOsHwCGPykX9pOuAygGs+MT8hw6DGZKqGzPmpVndrYAxaB2qIDGVRlREyRHgBf9WRsA18bEY54CMQz6DFCHj4hvAS/yHNUzY4FcZVNbvggkmoUMSDlcBgCuWjlvb0bQiqIuSIGiVlrCUoTHBm9L6qPuvumZc8XJUjkfDwahuc3dU8Y6WW9oWQzGZpv7JoTrsIoWvra0bgKcRa+MDi6Ov3lQ9AZoBrpfCaR3SPnZa0PQGMnM9wvKuzNijkPZXVodr10tK48cJyvqAtjAJgmG2UnTnlEJqw5YYpWG6o8p4UDEWqDLC1CBunn3/E45x8bPoI40xYDZNQA9NQns3gfEIlCnnyRTEESkxRDqdGrUkiDpFGirKEl7DDwxtHWmWyFB7wgGf4oQEV0d0Pz8NC2cKe1r94nTD9aQyCSCXoK14RKo3g1AMW1bLXmgfa3oDFTJJ7BjlUx8BpkYkbNxUI7PJAAWwzcD8TuhV/8FlKJIFPOiuhFMD/ycSNScuF6+S4nnABmaRS2Y6RZ9qATfFac92lDLYflhhZEFv/zlLxt1QVYArrvuusX7n/a0p+HP/uzPsHXrVpxyyilPaJsuEViJScBD75ZftvyfWtk5+QNg4M+Asz8EvfdB4NDfGHKgEQRCBaVkycx059NFJDaw1OttUObUPfhYCuYqrlA0pC/FyrZdsZrF97CU3/OhRqPF44sWEFZJKf8yAOyZAMgWp9VtMg9MZ2WSYSNn4KNQHLVj8J2wpjIsqzMJoKgRkbDBjkGLq2eOzHli4nYqQnam7qS0dwCRBqCnID19ui8uOibWPS93DzB8vygCEtyP0VG5zbJ8HfxMJjy+xEkbgKaE8BW4MjXiSlZLwRP/YXk8ejpQ3GYtoelK2ASEyNj3QXOlzqqGd9pJPKTSYNdamWowLY01wMJ2wE+5YGohZGtkQiYBvH/xg4CMPrI6QSEjViQ4gRBuAJq05QocEEElTktEw0efE05rWD0If8SHxICcdz8nAzrY2rE76n01OOdv+CTnQpMgOXWjPEh9Bc9pkVUKP5PBvKkc6JNWS3Vi14MyxmncGvmlCQJFiiUdkA8yfI7IAbMSYPbvMdzXWL2hoyYTFyZ+Y/NA48tMAqe8z9NheWKFJQL33HMPXvOa1xh54cW2mcX69euxa9culwg4PAF4q9vxr9QiXqYI/dl3SkmcsvPT9ByoopDXKFUVfEfHOxn5S9urfblqWgNYKFvSnoYOsf/OVR3dCCvQ4QAKEwXset9WhNokCK55Yw/CvWHg4YOmv64fJLveB7WavXwrSbx/VFZzXQlRtbNvbwSPypzP1yJYxMQll5cY1SnByRDjyITnqjYUhF7TKWqAKdHJN2OIRqSHlQZA0SOB8rjMVDqazJibGT+MUTCnIkSzaDuQ6KolAjyUhpAkID1t8E3x/fxAf4uU81m1iDYC40ck+Jug5xeRoWg7lJ8iSLdBB6PA/odkmz1DosDX1QOMMTmpoEr55FAMKsp9YYCPG66CUWScvUOCa7jJVC9USzv0mettTZ9VE691YcmeNslDOWuTGw2sOQMY3W0dFimClDUSxnpu3qgvqiExSTITJqpFbIlbQ/B7lszddsyRx0aeAcccE32ipVBaALI/teV5a/jT9AwgfatNjoS3YVQMYy1i97xxs0xhJKflfQe2SJskd7d8Bjzewl3y2shFMF9Q78sRaAG6Xi1TAzO7hCDKZDKbhXomJZljUMW7jSTE4jhhJWUJodRR+DWcA4fjByssEfD5fMiS6PwY2LNnD1o4EvwE4SoCKwwq2gV92vuA9LjM6LMf3XqNPBZsg0bWlHZ1yIfqTAnlTNksfMemQgj4NcfbjVHPYtO4k6NlPiBTEc14luRla0KsI/Ob/WGa/pi7fVDREuJbklh9raxwy+x9N9CWlqNkfmDAB8zY7ZDMdr5Vk/nlr8x0AE2PEOb8u08UBDN50bnvaRdzIa4ap8VYx/yJs4URIsnO2iPz/yrJZtbmmAGCmKbnvZ1pZ1JRb2bE/xmMGkXm2ARw6hOzIlEsQLW2QlM0aWpGTG4Sts9PbYJYnT0wpYpZfTAOOjETyM3cu9HUb4HO2z9w0zunNwKlnwvivXDqKuFwdJwDFO3KX9nnGe6AfQ9R+hGBnZYOGQ2shy5DJznSWAQa7aiRjxMZcSHi9ayVJMhYQI9IC+DgBBBPQbfac7V3Erht2thHq41xBC5uMe0kHzUAODPa0SQ8j65+YwWM5CNCfAzY81LiyGkTlD8GtDwXmPymVAZMC4l6D3np7xsbaK7i7Rik1wapkr9CF8I6omPxXjn+8CWSEJjiRwXY/2lgYtge+6PtphdPS/4QkPkJlFc5SXDKwCUDDscXrrrqKrzxjW/Eq171qsWKQKlUwvve9z6MjY3hwgsvfMLbdInACoNOjQCpcegb3iZ30MmvW1aI+lmfMYFYndpuLsLlxmugf/k+s1BmEtDTKqu27EIFMc6Ok1BHIiEDPgM4wS8me8SN4manjMFPLeNWwRDCfRGs++hZqO4aMb35UEejqQCgOwCMzktM20LXvZLRsF+8dK/vB3JpIGFL5Awo6yj6w3rZfTUyollxR4SxTzJjd3dtD9gn5gs6e+2UgQ2ksne1ExWLQzOhYOBgcsO4wtHHqXGgq692rKvXWR2GivxRcvSQzzGz8McQ0zgpsPgWCmh9NlTOrmaNRoAlzhFMMDwpZvIFyJ1gxWTzIHDwvwFWDjathzIlb5EN1vmMXfV70xLkGWigyRLh6JHAwM/Vt+nL+I/qkRvVQk5C8OXJEcuPsGefCdiqnsXnVo0roYJiIpgsQjGpMiRROgNatUaTQJXl8zBl/WJt0sIIJSlg5jtA24uEs+BjOyVf42XoEBTPCacgNpxjj2EKGNsDJGjrPG8UF3neVPwSoPqI3TmOZcZqYllHG1cA618BtJ8NRbJk9ULJm0ozwOiXzJHpxGAtGXA4/sHv8FK4Hmp58UQ4JcBkYM2aNUZV8Fe/+hXe/OY3Y2FhAV//+tfRwMXHE4RLBFZaEvDd14osLL/7hoBeF/ySh4CmIRtHFHw9nTLWpyro6eWsujwtxHbADOfvWfqmrjtXgeIUaN+pZnTDiQAG3SQvyBaG8Kfh2+DJDrOcHRYVQprh8O+aBMMeGvmUoCYPS5maq/Rgsx0fo7UsLYaV6OuctBYqQ2Eei84uMSEKHi39uzj5wKBIBn/7gFRFuHqdmbVWxn6ZWKgG6wSN7MEZl0UGMRsogmxdBKxjIQMe5W0toW8uKQEvm5J+PwmOvc8F5m+zZktRQ2JTmsZEd4n4EsvnLM+TUMiAnTwMFQlBn8FVup10oISzuXgdcwHjeWEiQPlm7ofR6hdXQBWLS288Qk2ACtDAhKFeFpKpH5OHBWkHMHiSSNhOq995oCcEvVCAos8AwQSPCaC3CTPRUDetwU+GFyS6IcYZrINALiPJFM/vkQlgXQu0slMVXa8G5h8EJupMmMi7CNqAbqoVPqBtHZCZBGYP1PEdykCAx3UWkL8dqPwSaHiWkAjZ8kjTjroF6HsOMPo9YOIHQGM3MH/X0YGASQePO/Y0gPoCrhqwPGBIpiunNUB84hOfwMtf/nLcdNNNmJ2dNbLCL33pSzFUN+nzROASgRUIBs/qAxmgoKH+7/uBvZwcAPQP/wa4/EPAxX8rBjD/9Xa0vrQX5R0pBLqCmLpRGOWKrQDGSFYEHpqH3twIFQvIqtBcmzWQ5dy+H6CoTppldGuWwySApXjOpbMVQFAr25aFVTwkj7GnzxIxZYHJV5iziQTL7C09sqJdoHJgWVb+XCHyJ5OUbfGHwZylfo7fcWyQf/CpHLS/IvLG606RWMrgR0IEA3w0Ymx6jdHR4gVCG+a/ZlvBENtsb90EIY98aFVNuL1F6+J2Ow7IpIH6BQ1A7n4JasUMMPGf4tDY81Lr9Gc9DrzAxDI4vQqm90s7xPMz6BoAmi8ESpYwGb8QWLgXaB4E/BuB6R+Z9zN7xs9i+8PQnS1Q688RUaQMeQ3HlMhH9orhUUu3HY0kd6AEzbbLzx5efFppwQ//2ggUKQobGo0NtZFXHmKbQwk/ZGwWeqoEdaltO3Ai5Mi+2nut3iCtm4X7gc0nQ7Mq0PoiIH5yLRHwBaHiNlEkmi6HLm2Ti3aZCUXAajjMgDujI1NQhjPgfR50hUxDVe4BTrpE7krulO8fVSZHvgod6xDfAVsNWdS2oCyxSwIcjnOcf/755ud3AZcIrCCoRB/08z9rbvueKeNyqnfIuO/p779TNOG/+FZZHf7RR8zjgZYQAm99N/DfH0bHSzpN8hBIBORyy5E7loc5850qGXlZlvIV2wKmLFwF0hmgrbUW8D1lwPosvJ7s4/VwWbY2IjlR40sgIkEKiK8CCvO1FYAJxnVfY1PtsL1mMuXTKTHgaW6BammTccXhg7bsbqcIzHuXgTPOlaTAyAFbzwGCdsZU2DP8Ae6D7RsfPAj4Kb1csu0KtjjqSspsESwsAKvWWjU7aiMkZPvsz/O9GST3/zvQ0mkTCc+h0SYiJBEOvAo48iXLrE+Ia+PUj4GW1YZcaMrnXFmzKMNEo6EVSI9AMViy+MJ96lsvZMpSBprPj/eLgA/fc+/9ZmzQJEoTk6L6R+5kKgWk6wSbzLRCEapC7wUfVDt1FoJGaMiYQ83PQauSqWSo/hAwOyMB2xux9MCPbLAHyM4BB7YCAycB+ltAx8uAtk1AdrSmo+Ah0AkVugI6sxNI3Q6kZuUn1iajl6Pbode/HqiKqZCuUAL7GA0HTiS0PQNYuMN89urwDuhNb4Bq2wKUpoHZ79r9IxHGYdlghZEF8/k8vvvd7+KBBx4wpMGOjg4zOnjppZf+j7fpEoEVhipnvnlNHKozqKmEgPGCDYq8ACuxdX319fKE7CR0LIhAI+fdq5YsxyBNaeK68nSiAZoz60aohyOJKUkGOAfuEfM8MDAyeOaosGe3wfI6AwerBywr8zmmylCV0blSAXp+ryUcRqADMZR+vgeBswYWK/VCLLMywCxDL8LrvTMoDopLoTdXb04Cj8uOUjLJqHMT1Axk1FyINkCTrEeTHBLwUnPAQL8oEPJ9Wy4CFu6pbZOv49sygYg1SL+cRjl8/uJueSJLVtKYv5ueJ/+nDPNzAPbOV19nRzXHgNx37PYXgLYXAkGyhI+RPfZG7fjIhlUmuBviHBFl8ByX7TOYTk7Y6kEVepeQ6vRABxQTKIKjkNx4R7Ppfih+DpwOmWRLoww8MgJ96iqoTuFiaI5fevP/fWvk89i3o7ZvresAdUASAfP9mrJjoAtQ4Ti0fwDIzYo1ddvzDIl1URcgcyfQ0g9weoI/3H+PM/Lwx82506f/H2Dia3IcnS8FSklg9iZo2hZXp4GbtxuCqd4Uh0p/CPrSf4QKkAhje6u6Lgl0OP6xgjgCDz30EJ773OfiyJEjaGtrQzwex9TUFN797nfjiiuuwH/913+Z+54oXCKwglA5dADJF15pbrfc8MPFZECFExIIWPK/6m1Qq86GahuEzowI2WrrB6HO5IoV0GMpYGRBxGJMgICU+FmCTi2I5TDBIM4+v7nAVwA63REkhUXCUNm0BGuW+j1uWJqBIGAd/diDtl9Pa/OruTLfLiVmfcoGgFo4l66TgG5m7/MigsMAFG+0PV8LtiXYIuCBziel9UCNe2MgpMXAiCX7EHvzRSBPq1tR8FMcT9y/X8bM+jvkXNEXgCVxbyafGLtFjsdESx/Qz75+FZidABLkDbBFcQyBkGZBRhEwACSeAcxQI5+tjiFzHnRlHhj9omXxW5MhW85G0yWAv/ZHr1nFGN8tHg7Hrqi9xIFVkFCT3R5X6sUaKZE20975vu8IsN6+z+bNYtzUEIdmFWjfVqsCWHfs/D2ThuY56+2TaoZJgjge2Qys3QyEmmUUlEnYfE18ySBxYY04GbsQyP9AEkD2/pkEWIgBIxNQtlnovFin5jifgmrk5x6pXdypKnnkKzYJ5QgGWynkDdQ5HqZ+LPtkXsME8ner4+7g8LsAJwNe/OIX4/TTTzfqgRs3blxUGvzZz36G173udXj729+OT33qU0942y4RWKmYGYXmip6jgqWUEL9I/Nv2WWD9uZIE3HKdXHk5/udhkVjlzaZr6EmOiYWFOzA1Dx2PSuDg4+wFMzjEuJrmhV1LiyBpFeoq89D0H+CF+sg89PoeqERcxgYJVgwYJMkbqPc1YFWApevCRM2TwIjNBIDOQXkO8xQzOVCQfeAq1WtNMKgyYJP0ZshGHEtskRUlgyTJhLlsjQeQzZm2yGJVg5oIsSgUR+t4LhjgWVFofxaQIhnQbt/0nutm683K+ulAbqslPDZYfgArEV5Zg4kP+99TUBg3LoV6YUYmBex7m4A293PzoztfaIWKChLgORba2ivEzyJdBX2GBa9JImTWRQJdfABQrGb8mCokUGMjQDQEjQXggZmjyVcc4yhTwTFicqtqWjggdAo0ycD+DDCbApobFs+vpuujzxNNigLd50LlaS7FyYSyEBo9rweSCbP3QFvFQ6X80KxasDJlExpdlHFQxC4G0rdB9W2Gbs1AP/QTKI590hCLfAs/uSrUV/BGNv1GZtoUTAzRsQqc0QOc1gWsehUQaoSqbpPnNl8tBMOASwSWFVZIa+Dmm2+G3+83q/6Qdx0zlxU/Lr/8ctx4442GM/DhD38YMW8k+reESwRWEFgBaPmPLwrx7l/ejGrEB3Umgx+Al7wbuJel1WNexIBz2pulb7rjM0BPE9ActaVfBUxloXqj0LkK9N60/E1Fs9DdDVD0nTfb0NAMuGO2FEyVvZ4+kRhmoBgfB0YzcjFny8EQ8uyOsEWQo6mMz7Qc9EZONSjpd0eagJmisPEZ7NmPJ1iKtmp7MrNesm0GruABdHTWlQOtIAKFeapFaAbK/IwQ/XIR6WfnuZJOCkHwkUPGvc8kJh0syWvoMZkOUB1krjcDva8Gxv5Dgg4DJVepbCewFM8V+cytUgWgHTHZhSbBqQLJHwLdrwCCTVDlaaB4q9UEqEDnSsK9IBLnA9UAkLrVujd+b7GqgrY+IRkatr2GinZABzdCJ/medqXMJC/JFoAVLuJFxcj+Mmjzd55/WiHkgFWNUIcPAqsluarsmUT5c7uBRj9CL+mT1s1AAzCbEUVAOkvyeAkel2mxKChdlODsY/I0B73mPCEtcn+YMC1qH7Da8kvDezAEzfRuSQZneIw+YJz7XYVefwFUNI7qcAXoJxeA350yMDwOPfgAVNDqMRT3AHftkPe5cJOcf+4Xz5ERE1LQ7c+HoqaDnxMpT+wC6nAcYIWYDt1555249tprj0oC6kFZ4U2bNuHhhx/GBRdY7ZXfEi4RWEHQyWGon/yNBK/QMV/+5g6oBnsfA228D/ryT0l/dfTfJYByNj9ikwDa4rJMTPXAYhV6WwpqgAY3SioDVY3qfB7YPgffJX1HGeFgbALo7ZIL/+y0Cep6bYcVnKFXAH0F7FeTgYTVAUveUyS+cSXp8QoY4Oe4WiZB0SYQyQnobF7GEClJXP+Hw/eksRHv4w/bCkwWSMo7qm/PFT5bFHmTCChaGjPcHByX4Md9zGahR2mStAC0c0JhHBh+J3DlPwLxi4AjN8rKlxMKhFEvFLdDHaVSIS2ZL5GydPoXdqTQB0Ud/sJ9NnD6pV9+8wNQL7lYtjP5UzPSaNoVlTLU+pNrLQevuiC/QEfPA6a/V+N+eK6F9aC2Ag2SSlWoXAnYEJeRUD6Zo4oTJeiuPDA/BtzwgBk/rc6WUfzRBEJPa5NjYtWIn01XhyR49ee8nJeRVe5B+gAQjFt547RUcQLSlvGElYSImjXHjexDwMNMWBSwaVPtuLKDqP77p+A7i6JPFLhSUG1sywSByR9J24DJjf9e4NQ+4CAnTMgD8QFr/8hUAjBPcxa2OLaTUQmwyxB5mksGHI5L/DZiQdQW4POeKFwisCKhoN72L1Ccpab4D8GA56GcgyZzm0G1gQGbd2ohZTEwcTUczsvUALPphoAxJNLDeagNMREl6k5I0FlXhp7LAe2cHLAVgYMzRvJdUSiGZEKu9hm/2FpnBYBjdgTJYkbZD+JIyNUcV9LUnbfQ7IfTZ4CdCK+HPjxqDHJ0tgR90hAUtQxMVaJk3RWtSt3aDTLjTz5Bbh7KzLv7jFWwZm+bPIi5fJ02QsCI5ZjAztUp2+xMAswIujD3zep23yekksGZ/qMIktaMKVcBdh6Cbg1D7XtEpgparUhRdR5IUyrYItSE6kI/EPdBU0+BhkzhMPRCCfrG7fKc5/ugeq1oUEOblPIjpwJhVge4OqcRkVQDJAnIW8LdtCQQdGPkKtmIPy1+RWpVGf7P9sb0BFQ8AP+aBlT35VEZKaK6Pwvf5haoPjsZ4k1hcIE/lwYGhmSsdG6fsT321I5lqoPjlRSNiljFYeFWqEgP9BSDv5c92v0wSo1x4ULc8Wng6c8FsrdJUuhVfEhU9RwNKffMz5y205t65bvUvRFQ+6CqQejOa2U6o2wrIw7LEyuELFgoFB63GuAhHA4jxwraE4RLBFYQVMsA8KovLt7WZp4cUPFe6Om6i2EpDdz5drl97ntlxc2LLQNmow04Ld1Qe7dDtxWgWBG4uB0Yy4nMcF2pTSWoHaDMfL/mzDlL5QwS940Dq+Jyie9uES+CTmtM44ElfjLzCVYKGKg4WUDDoeZWaP5RMIDtnDLBT3dEoVq4yleyujO9ewkmZpDswBHZJoWQzPY7gPwkQFnfYASaBjh8GSWAPWtcvm896BBYtBeOvh5bVqdEchh65wRw3pVQnI/3dAwYfDzZYhtY9eFpqa4YhSBb1aB4EIPj9M3iSWChc1GoQ1+HOs9OedDgie+5e78lZrL9UOecSDVBbi99O0B+ZsvVQNtzTF/dHBDbAiRIkjDIwJrPA+NWo4GJ2YwlVHKFHYtCn7nJnEMVqED3dkBtnDUXDd9Gfo5V+NoiQD8Duuc3weTQZwKwaqVpkseBoFCTSCubaYCJHSZgKzoQcn+815pzzH0LilEQhaTOllUQE0c9/AgwwSkDDbXv+6Is6YGjoazwMLnhuR87Iq8z3Aw7EcLvdjYPHeuWCkSw13Iz2JKiAZJrDSw7rBCOgNYat956qxkffDzs27dvsfr2ROASgZWYDPBLxSTg1j+T2xf8LXDwXyWwmSfVrQxJNmMw9UrxiyAxrgOYS0kQV1WopgDQwlK79xQpdS+iueZgpzriNcY3V9MMSlTiI2KNosfvJQFmoqtgWP/m4m3K/yQb+oHtYxJA2i0hb/FAbSAfHgdibGdUgUPzUsXYbE05DnIUzQZd9vB33inv1TsAJNqBqSMy9tfcIvuaz0Hxf4/kxgDJkjjfi9s9YxXU4ZuFFElFxLgVTmLbgsHIHOMc0NJgZI/NSpVBi1oCnGKw7oi6ew2zMTnHh28/+rSTBESxo6gPeNEWOVSeG1ZKePxWNlix9E1wxcxt6lVA6k4JkCWrdmimMeQiai4e3mQHQdGdkzZCsTrD/aLaoHWRZDLnYw7CVkB7XCYEvGsPpza4rQGOaMa95b8cT0X8A8w55qqdScBjfkn9UJFm6NSYaZuYypEhDLJNkxUPiJ3jYvJ01Fey7gLIz6h/PTA/ac89v5vdNe4Ijyn9EyBxBVC2gkmhJ67R7nAcYIUkAn6/H1/84hfNz28yJXqicInASpQZfjyCjBfg2Kv3wHE6ivrQbIerPqrYmZXl7dAku2XtrPyWIYAOdaWCYX2LIFAZ6OkCJibMpoxjHsvWoTD0hi1QLGE9sgd6YUHIfwGvpEu5X65SWZK2+0SwHM7veAOFeLLy3JM65DHOzvKCzwShUICOhSVBYRWhoxmKCUl3K/Q9B6EDYTOmqOezj+JGGpB5X0yLnDCDbJREwrQEdSuPbMA5ezvaaI6vkJckIFkAkuPQA61Sxu97ATD2A8BXhjKra88TgduySRblfw0Bk+2IUVndep9T/bTEzLSc13ijdPz5OKcmeM47rgKi/UCFLn+/qBE1mWjc8XH5/YyzpIrw0APyO+2ErfCOZuWmJQxMk3xZEgtiJiv8LMkjGJ8w3hKmtZEIA5v6jKOk2X9vasM7N0y8+BhNhSqWI0Hhn5j9vGLttQtwsAmaJk6hDVClPcDCuLRVOE1CESAjmlTXHvASVb7Hr7ugN7YBzVSh5Hk9DSjcXXuMqon8LB7r83dwOA5x/fXXm58nAy4RWIFeAwZUGLzsk7XWQOxv7fgZPenbgAs/IJMCFFoZOlUCVmoCGLnRBt6mo93ueDPGsqxdpTGo8XpNHYF1J9V2Yu9OqTzzNvvoQ7TYnZCLMr0CDG+gDGSy0FNZIOmVi7m6t+JD6wvW7rZORIevV9ayl+p3DExMNKhuZ1eUZh83tUHvmIXut3oH1OBnOZnPNwGXM+rWbpjgCno+Cc2VPNX0eLx8jSm/czTPnFl57kwSaGqSqQzb8zaEyp/W5nr1ZddBta8Hqhlg7xekn82Eg+D0RJvoNWB2Utooq0+V7U8ftglAs7ym/w/EPnjshtq5LW2DqpLRf8XRHzxL8V6AztE3YAPQdFCSJpYZPeElHlNHM9BahhpPAnsPyWMUcyIpkcEzFhARIZIJjcujreL0dEEv5IEckyUlVQo9D2Tngbb+2sSG9zlEGfypO9EHTYMfjjwW7zaqh4p6DsShYWDTZklmQmuB1D3QtFjlsRyYAXIF6GwFqikqCaMZwQzLqCMNnvIHga6NRqQIibXQ2SBw5DtWaGnEfJd07FIgsNbIFCvXFlieMNeBpXAEFFY6XCKwkmGDg85zpUexmwVg9HrPmaf2BxLrMkFNNfUYb3jPO54kPL15nRDYeOGtU+NbLNcxWNIDwOshs8w+PgXs2gmQiT8xKi3kB2ahzxoQ4yEGT7LXY0FgqiClbG+KgCDXgL3s/lbp/3I1zKBvSG12qoC9aVYDji2T+RTUmrgEelYRuH+chDAiNVYamStIj4VPUR86/x2mAI6Cbo2LH4KnS2+OMwBkFkwioYo56M6YtAp6XoTyVz6OwKq6EvberwDDoZo18VH7ZklPPFexZqBtlW072BU1y/99J4vE8sIv7WsCQCEHdF8FVPaaEr9iz91TLIxfDKhDwOqDtnduA+bmLcBdd0kiQD0AVKGiUa9wX9sn81lwHPQqYPvnZMSTgXmWgXYCaLF6EcNjIkjEJIFbCMxA2VaTHh+GYlZI58NG237yU7chCJTT0oIhoZAJgZFJzgFbaR6Ur1VoZkUWuLZfbL9UgV4qF5LD4gfirfJ/gV4EltTacD5Q2QlN0SASFmnglLK6AuQGjH+p9ucw+FaokOXAOCwfrJDxwScTLhFYSWD5/Yr3CTmK3/2b/lRWwv11hCuu9I9VpaNBDmf2ecGnCEvhAXlOkUqAnKHnTHadUhvB7bZb/XyW0CNhaM7ah0JQnRSLodd9nSMhV7/js9DNorLn2djqDbSbTYjfwIExawwkY4KKryEhzYOXuHQ8E0hsBg5+GujqPXq/uPpfsEkDwaBI4SC2PwI20DChoQqhx1egnDADDysSBzLQ5/QYO2Uz3cAKAFe7XAEzqHIcko9Viyjd8mlMfvkw/K1BBLpCaL62HwHP2tfY8x4ju7zptQCNc8aul217n0PkHGDDtcL2X/j5oz9XbuPwDXYmPwjdcOFioUTzTzxzB9DdD+TJAaDz4qh5b20Ff5gAGO0AJjL10szcV7Yx+GvmbmCBSRl1E+iKWADaQsBlvdaquQTws+N54o8RRbJtj+w8NJ0iOTWQGjWjl/WGQoa4SpKjSV74+hwwYMdL83NAidMWkliqqSlo6kps7DZVANXULK6RrOY0DgKT245OGI7iTdnkdNeoVKNOo66A8xVwcHCJwAqBWfU//K7aHYN/8thP7HwRkFgPlHgBngGSN9tVchUaHF3rAKr0cafSXwG6uRdoebasSnd9RgIONeSNWp+/NmVA0JKW9xsBGRL06tivJ7UYwyLNlVxnh5DzSmXDrNe9/eYpamZeVv504mttAdrI+rcJiCnr2yrG9K1AMSv7yGDW+nQgc4/sI8foWjuEoMf2BV+XTtd68kw0GFBZgTAkORLc6FHP5ClXaxfwGFgVMDy4ktzH96b9MVeiiSpw2K7k/Qptr10lwYw2y13s6StpJVRs8sVtJWgM1A7d9Up5XVDGKFXEKiUWj8gIYLgZiJ0PBPuAhhHg7nfXGPc9/XZkkPGwCOSsXS8xNbmo2KhnZhZldjnmpzpbgcZojbC5pleSRVZ/qGfAykBX3DDuQSXJRj8U9QbMGKXnYUAXwggw8FyomZ9Cs9qyl9+FANTzLgbGd8ln1NQFnTpsTZRaoYIxKE5seLkZPztz4JSgtq2AOeGZmGmL7iGRk2bySTJr9ymiumgkoe2+mDZBEBj+KnTnJihOhTSvARovh2rLA2WSKEmanAY6XwwEG6EouOSw/LBCyIJPJlwisFJB3QCu9hhA1v45oMrArk8Bu78AnPIXYpFLUCWPZK8ZsYfVKgrVcBmQuw2I90DRGz4nJCx98v8G5m+2gj9+0Zivx55hU843pTgGT44jUg3QaBGIFKzqsFr+3AZNZdiS4MiZEd/zRHNsGZ0/nC4gPPKgV9pP/kru53bmbwc6rHnPAbY+OHJnJxbIHzBtB8s34Gqee8D/2QbhG9NMpzEL3cL+vB+KyoIEE4vktAQ0JiWeJ4IxMPIhsPkSdDyXYkd1pcu1zwOy98nKd90mUftrfQ4QaJQkgAnb7n+WfWqnt7iC7vpfYn/M8jb8UKbtsRMID0H7aHMcEz0I9twHXwMVaoOung+MUt1w+Gjy5+ERSXboA2GDuGmvTpPt32QDqG238PuhbNKw+wiwUARmi1AxBugQcIDnnFUTtgdoTy3KiXrPDQBVK80ERkj4GjxXXiuDLQ6CVYDUEeimVWILQctD85lFgBYrj2zkpUvQdmJBmaTJByT6DCHTBPtIo5FQNt/BwZcDC/fJd4BTB0yGGp9lSK+K2/fTV+MQkLIGT72vlHZA7lajC4HoZSIz7LB8sEJ0BJ5MuERgJcGzuB16hVjf9nUDa98EJPqBgtVyPxbUXffc7Ra3UxdYWp4JpH8pwZtBje9BRrhRdePF2fsjZfPX/+g/PK6smYwYgmARmotl9qBJzqP4TzwMPXwYmEhDx/xQzTGAPXsmEiOHrY9B3M7t26RgdkpK694UBMVwOEfvBW0jlmMD3eB6WfUar4D6lkhdTZkcArL0/VO1EbrOi4FpmuRw9Wr9DEi+Y/maq3aq61VGEeyPQOc1dMUHH6sKoz+RfV33XKB6QN5mhgY7Crr/9U/gw2R7IQ1Vvhs49TK5h34ErFokvykGQ97zqG7I88vjbG0EZtPAmB3zoy5B3Mr70jKaZEuiVJCefj4tgkCbB6F3HDKJgHwvqAvAz87aPldrPA7VUJe0JXPQLQ1QaY77NYoGgJ3eNJ4HDNSs3FRsC8p8bygMRNIfDZbaoctdwOwO43qI6hiwfpO0h/pOk1HJhvMkscrdC4X9QKTZtBd0I0mYHKVspp+2nI0S3Ra/Id+DjmugIkNC3PTOFpU0fUWooCVwOjisALhEYKWBgSdry6wEY+X4F+T22j+WCzFLz6wE8CJrSIN+6D4JUoY1742DEaF+6MbLgRF6GHwN6LkWSLOPzUARhuIYmIczzwCm9kvgaO4ARg+JCc0cAwBX2GVg9zB0YxiYzZpVtI40QG+fgMoVoU7vkkCcZT9+GuimLDETgUY7umYJiUwMWGkwhL76JjGXt9aUx9gbM/glZbXqKeKxSmGqDwygZNuzalBHDPQw9SuA/enuS4HkXQDdFJkw8D15fDTC4fPXNUJtfAGUz9rwJm3pvbBNSIZsW7BiwTdaOGxK1Nj4Fil9MyBy9WzK3bRtttMAmZ/az7Lu3BJGjvhuaLYU6vvkRkinWHN1NK6AJO8FgCZWBTwjpRAwdIrcPrQVGD0gLRPvuEk0PJNTGZSY5nfAzn9wBHGcpkNWMClXJglfQEJf2fb9WX1paxXyI4+d+xltNQkj9YZM5aKQtmTNgkwPsAITTELHE9DT48JhYLLJ8c5QMxTPEa2fvSTXa4kwIfPuIAm2GoLmVEzZWiubhKNRxkKJ6GWSBIx/RR7ufZ1LBpYLXGtgyXCJwEoBe7yd10Df+U9QVa5Aj13da+CXHwFyGeCcC0wwXRSl4d9a68sswU983tHyPFNmNRdTv3W9I4ItUJwyMO/JC3AtWNEVTneslvt5wWcSYMh6FQkWRtu+CNCjgKAz4j2HoTMloDFoJ/VoGMPVHA1iOPduOQgMdAQTBfbrKYdsRtgUUPaEieoU+LyjTs4Ym2HZ94CQCTk9wPcIt9QqCtxnVhmSs0IO5I/xWtgu0wf88aSLvdeQU8EgmbpdpiVYcdj0KmCGJX5yJTg2d7uQ8Zh4jH8NsA6I2P2gVBl6hkSat3u96AaQG2DiGOfsR46egzfJUMmed54P6/5HXQb+z/cr5IRASHMn+k2Qt3CseqLXImHVhdLObW1WLIjBWUF78/veREaSgV1Dj8ybz4nnX2+17pKt1qAplQfWny4bnz8ogdhyTxZJkUzSSrYqwHZQsKFGeqSREX0ezjlFPiM5CZLwmIkXOjlugkYYmPqmaRlotq4an24Eg4wg1dxuu0/PFqtiJgj5e+S+2OWPqSpoKgima+EqBMct3NTAkuESgRUAnR4Bbnr9osrqIlb/ERDpALr/GMhMAPmf/ZYbFEc881OaguJFd9VbzUMKYg4k8rxsFQShQ6cCMzfJhbv1mcDMD2vb8rQAtO01N8aBg7SrFZIdUiVUtqXh3xJH9XASqoXSvDYIkfnNlTiDrje6yISAiQDfiwGL5XAvFyGrn3PodBak6BAFaw5MSpmb6OFjFwHpu+X901O2NcCVo7Ubbm6VgM55fuNdQK6F/TNKZYFWGQtUVOajHLI340xCYkNcJIRXvw4ojAqbv/48LJ5fW1rnvj+yUwSNOlcbNz6V/ZUYCU19G8iOQcd6oUpp4VCYYy4D2aQIAXmqfjQ1CsagW3qhFuagBv2o7r0dOJwCehsAxj8/tf+LULvukkoHhZ9YWTHTEuPQrAKwJcOqAd+MiVu9PXV7DJik7gOTlzBwqdWOGB+DIpmQCZvZH45pxkTqmKDPgAdOFBjfgJC0DNgu4dTADKWhC6YSpH9xv5zv0zaZnr8hTgZCUCQLUoyIHhHGLMpqTAdIdLTnxsPM9+17h6EbByTBqmSMjgArAebjCLZKEmCrZbr7j10y4HDCwiUCKwzqzNcAyZvkl9TPgIXbgb7XQ7WcBH31x8QRrlHU6fTUt+Ri2nktVKBJPOFjF0Nlfg4k6WhXswtWLFuTjDV/k9zf+DQgf5+UbDmuaCoGJNMdkudxxdk/BDzwCJATSV4MdECF/dCr2sTf3guOTUH4zqd1sHknaLYCylUorv4pQoSUHbfzQVP5LpmGYhLR/wJg1AogeSsHcg+amqCZROynaE8F2iga+qBWvQCYoiIfTXuEXS+M9SmRAB5cWzNEYhI0PSKkQwZMY0jUCRyZEKnm5jZgZkpW9UaClytyTyWREsk/t8REiwxH4MpA0+nAfZ+Tfr2nVcAqzR0/BM64VMiR9QZRdtVvCJVNQ8Dsfgl6HInkBAZ5E2YKgvoBVeuAyPPNakAAvks9Rz8SLhfkuI1hkh0JDFeBmZSs6j0PItOy8QGHcpJEcdXvVQd4nMPzZjJCRcPQNHwyGgsFYPQBYOAV9FGrvSfPI6cEslZN0KtC+UPSBuAIaTwhI5/kINA5kpLR4YC0deZkW7rvNEkGDBfFBn3/RiDYBfgvlarQ/N660+aDCjcCRVstqtwixMPgOYA/Li2zSsZaR7NSMcczLC8N2gqJw3GCJZIF4ciCLhFYAVBUb7vgbcCOfwUOfgM4403SezY2rBblOaiinVH3rYNmk9frM/sboRf2AyP/blfDVia2HqmbvXeTC3GgA6BqWzUHVbgPunk1EKBwjwQgIAFM7wdilK8l8z0AHJmGHmwV/f7uFuiZNFR3FMHV1KyvExMa5iy6D9XmjJ0lD0PR2IdBev80MJeB7gwDRz5ly/gkGcat2I4tiRhbZVYQfEYv35SnZ2+V4Gn2kU53MWkFmAoIe/jzNV8EJhVMRMz9fG9x98P6DdJa4Gqeo5SJi4H5X9rgZMWC8jTDYTDOA62XAvO/Ek6AOX0xkzxoBuJ8HmrNGqDvSqB6EIpaB+yvF+oqN9FzTRtE5+6QpIvJBTUf0jPCwyDHgwc7cRCK72eMnY7R5Tfv6xOi4CKjv8a5MO2bEuf0Q9KmIZeDCduFfwh8+3pghJLQedM2QMReUrz2QbkKXapATY4BgSmgncnF6UCmPhmg8E+7VHWYMJjvHIO69/0LQCVaoJ91KfCL2wF6WmzfKo+tGrRCUOugiz7o+W1Q5ALEOoHCg0D5FPEu4He45bnA6FfF1MlLFjxugS5B8zu0+x/k1w3/C4pCRJzQ4L6Of3mxnKa7XgEEmmWUtg66KO0QTm04PIVwHIElwyUCKwA6NwEc+U+AJjgsZ6dsab7nf9mGsH4cVrq9KHM1NcuRsISs3rxnNJxlLqgq/6C9owo0XgbNMb1KCipzq+2Fh2X8rZKDZom38XwgeRvQvUr05CfqzG48dHSKbLDnHpgqybeVvXsS/VrjwM3DsgC8eo1JBgzIMfAC0XwRCBaN2ZGeKhqdAsSjIjtM5jxXvAxcTBTMcZYkwDPgMtgzIWGZnKtrrmyZwJiStV9yJJoQcf+4iuaKlYZALMv72Oe3RjxzTK5Ilitag6EsMPdVINEmAXDCfhYM4NzG3i9Cb3wZ8EuWpBX0mlfDh60m8BgEmqDy89CJy2Xbs9+Hbn0hMH6//ayolRC3o42TQFM3sOsh+WwSDcDoYXleqw8YKaD6zYeB09vgO2Xd0ec/EICeTAKUDfYmALzgzqoLz9uBG6RFwIQoz8SprsIxOyuSvpOy4tYLBaiOKLDrY8DmPxNuijeqaPaZ0yAzIgqUn7dmTUFoagVkyD1gcLXvP5UxbSTTKmEVYGoE+tDHgfEccNFJ0D4fFJMHJjelKaBgz03wNKhOqYBo/2ZofwSKCZQHVgeM1XUEiklE/dhl/d/I8OdEXXHwdUCIOgitkgQM/7M8c+CNteqJqx48+XCJwJLhEoEVA/ZLQwDL34ZlzdVpEZj8jnnUjK5Fny7PZNDJWJY7YQlTphrQ+gxolrWJ3M0mOFbTWaDlafDprdCzP7RENUBHOw1/wAShUlbY3CSKYRcQYA/bB1VcgO5qEBXCcFhK+tbExrjOkS3OjSVnoex8vu6LAPk6Vvx0CrrEUbQ54LK3SjDeXWfOkbWyt9TJp38BkwX2rQ2PgcQ5WufSpEb6zZges451locQtkkAdQ288r43u0xhI6NEWKg7XxwdLIl2gbH/pfRxtJYIEEyyFklyliyYsWXqHf8p+0cNBY5u1g8HkGDJ13FW3gSbKpB5RIJpPbpEhMmQB0kGNH1/tTghoWJ+6ARHPX3wre60hkd2UiK3AE1XybE5oIsrcxIjC8C0TbK6pW1iiIMnJ4CZBShqJRBMDIiD8yhNFxEctMkBVQmpR0BMfY+ZgS3pJuQ8p6gJwGCcB7aLfLJecyowdci2lMqSNLY1iBFWMgXVJpUPIwHNAM6k5YFDUJddAdXUJqTJhTulLUImAJMNey5VqFVGCn0XAgvUwbCVqo5Bq2cgY5cmTebr2Lbg99erDvFn4isiQd133dHnvpwEJr6x+HflkgGH4x0uEVgJ4Cp33SuBqRuB+V/URFsWZ7x4oZ4C7n6vuanPeRcw9dWavv/szTboXQkc+aoEH+s3oHUUuO0OoOEB6GdeevT7VovQsQuBahaq9KBdTVsYSVle+ZUw65ut9r4XVFm5IPGNksQTkxLEWCWIWib51ARw5RB0ogmKYjr7RXUPU7uBO74NRFiJ4KqdKzzRDtA9z6eMH9QvPi3v1d4ArO+RgMxgSQEhr2/vlf0X97do5XIzwrm87TCQykFdbcVnSFA0kwI+O3LYCIx9T4I/JXGZ6HDbTa228lDXl+Tqt+uFwMxnzK8q1gA9EAVOf6NZ3Wv2uCl/XJoHCrYkbsY87YTBwe8DDfWqeEyS7PYNhyFiBZQUdDINPVcAdswD6+gsqKAzC1Cj49AssbPnXypBUz2w3p3PiAZx+sBWBNJ5IFOB6owYXobhZvDznbNqjY0B6F1p6HgrVBe/a4/jkd70TGD7Z4QM2LcaKFCy2haq6EhoYSr5Ow5IMrCmWxI1j6Q5RfOiKPDMC6A6qIjI0cANAL9zTBDoCknPBTuYYrY3/yPb/2eCYD9zJhtMBFsuh84/JJbJPBZTYfFIiAV570f2AOs2ilIjRx3DPdA9r7J/W8cIaTk8uXAVgSXDJQInOHRhEnjkg/KLd+EkeFHjBcsTsaEAzrHg6qzt2cZyeHFUiwGMK6QFWyVIzwK9MeuQd9CK79jeKZMFKhKS8MXX0IbWA4MGV2p9lM/1xhnq3AR5QeYMOy+6fdYvoD4wU+CnuVUu1izT9ncBByaAh74tLPgGe6yH2Xawq/XbPieBb21Y3qaVUw1sC3j9e44m0sf+EmD2fiu4U5AqABODFDXzraxwO8fgqjVJXto0M4nZY0fUtpwqJEL6FDCJ8MDkyutPM9lZ/DwsgZLvM7QKvmaOYD4Affun5bxv2CKJkdEDYIuiAHQ+E3ryZ2IRPDNnSYE+MfupMlAGoQ+Pmkk5+axS5mNXbWFUV5FEeJRMlBAbtR+aFZQH5bh0Y0jMgTgNwerINO2Y2Q4JQNMQ6lAGekcW1VIVqjdkvNBpZ1x+JIMAT/u2DHQ4ANUYhj5lrbGoVg2N0JSpbn+J5Cze+THy03yvDhnH5Jggd5hVIpI1TxoCdrKixByWjpEkKQahTmKLiRMLw5JohRug534q3ABOrfCxuf+QalIX5bB3WK7GrElATLvK+042DUDlHqjrmLGaxCyycowZE6dRiuJ66AvLhMGMdYLsfs3i35WrBjwF8FRGl/L6FQ6XCJzoYN/VM3/hypOjaIbsxhXwJBDsFHITK/gXfkxew4tx02XA/q9LP5ssffbXx75hVfSyi3K6qrQAXT/6xhUwiWp0z6NErDcytvNOYFW/BDyzOvXZcrT9Cu4/KPevXSMrTyPmw8qDqjH4Of7njePFmoBEu7wmlxTjnI426Lt3yKrRY+oziHAEzojmkPTGoE3DIAYdH1RyHmhn2dxndfjLwMIj4oNA8hjBsT8eBuV4OUFgyO4VYE1MiHQUr2Gg8krGpgTPFTVbDn6gq69GwuNonOjpCgchci4Q6RNvB5tscExPc2SRgZCVEpblCQbFpp7FVgsmfwIc2AccnAWmbDumWIXeOAOVCEOtXyP6/57wUF0ipbq5yiVxzw/snYBuIKkS4iMQqRsLzNiKAgl/DP7RAJAqQKfLKN+dQrVchT/qR36mBEyVEO4NInh6M4LtYeBADr5X1yyojY8EkxMmmIlnic6/2gucfIU4A1IumcfabNsYc3NynptbJC7zn8YIFEWKTjtbEqL4gJyPXT+VZIDqhHwfjsO2rgXnKTBzSCoORORuQNWZS5kxzbpELU3xIlalaHnNIO8T6easuE+i5WLgvv+QBDHD6gXJkzMyYeAFlHIKKrpqqX+5Dg5PGVwicALD6NY/8k/yy7rrRNLVaN5XxUtgXPwE9MBbZLVpZrj9wKGPyYXTW7kaCV6ugo4p75qRuAAUNfg9C2Ain5VEgCDZa/c+ubDOyyrUbJcXca6yOCLHVTKDA3u8YyPi6GfA4NwI+HjB5lx7TOyFefH2DGI4FWCIiFYUiGVj9sC58h+eADg9QDC2dbLV4Idqoj49KwHaEvamgN7e2sgcz0H9YY5OyP1RK2pk7lTQ9ydRKSUReNGgtAa4D3RD5LjbLhrsWGxcZ1sOvjq7YTL8zwZ+9Uk5dz2UZeYsfwNw8kXWfngB6FkNHNkLkPFO2V2OfHIvGKS8/5ubALryMUDuWwCSZeD5Q9CjB4HJBemhD7RCNcShW7vEzGkneRp++YjpEZDl6pbJYhUqFoGmqyDfIV8wLRD+aD6PJyBLhr0E00qhiuxEASEKCfGbxXY9nxZQ0M+uc7WsF6lmC+befxTFRiZgay+UY6P6IAM5PxcmUCMjUMUiNCWj+ZmQZ8Fj8cYq+Z1gEK9TFQTVCM3nzfP9GGYy+ZSMg7aQI2C/e2W6Z5aAHTvl9zPOAbZyCoOeBmxZaft8jizeAXS2SAWNCWpLN5D8DjC6D+jfKFWIYJ0jpsOTD9caWDJcInAiw2P9e4zoI9RYV8D6N8p9Hhs8PwXssNWADXQltLrxVOdjFWFsTGJYV8061hTyeRHPZqEZZRnE2GvmxZGvmR6WJ5Id3xIHqCjIqEN5X7NyZqvBOhCyJG1McAJAt6d1b1dpHKubnpSKRO9A3cEZhp3cZJWBAZ0VCjoTeiX3YxIXBicjq5stSTBb3wJF2Vz2t03JnwSwI8BJ1wEtPmjyDUZ+KEGC7YfJDBR5BVz07U7Bz170cA7lG4YRvHatvAm5BuE67oU5z0xkJGla3HcGksP/CbTT5pjEQSoZRmwgPAYbXw1Vfkiq1E2XA5nboJkINZwCRLYBAQ1smQUOHQEyh4B2bTkOCjh9I3DfLqC1H/rATnE85Kgm97O/XUIlHX/3jANpq3kQDkLxOQTlnL1KwlgWaJcETDWQMxJEbjiPKs+fRWCtnB8zqumnZfGstF82rJKkjceteK4eqZ2LA3cCrd3WbdFuK5Uyz9U8hlxexinHJs151EODQjkoZ4DkbmmNsJVA9cGOq4QjUXhYtpMeq1UDKHndvhZoXwt98AEhHpqqEUdCWQXgd64IbLNTBo+CbV10dIlGRO9VQGmbVI7ognlwG3DyWxd9DRyeIrhEYMlwicCJjILVVSeGv2rL5Xb13HI1MPyVY0rGXoC27oDGXtb60zNYz86iOlNA6YaD0OUqQtcMQCUiwEHPu2AS+rQNUFSyy9sSLTkEDM7eezBJYGA03zzrFMj34n1cTXvPI1Ofj/F3JiTzcxIc2D82Jf6clII9cyMvueCFem5WAiFL79QJMGNvCmBZ+7FAMiHn3E1loQLc/RFxND7zXah+7d8Baty0Bk3eoXfPmyAXWKBaHuV0KV2bFytfvr6/36z+9ca1UAxeDO5eW4blfsKUom0Sw5YBWfseuGKneRDFbsxUgYLK3w8daJCAFpqFCifsuOOkTFWUC/D1rwP610GfnEb1S9+UpIXv26eB1V1QuiwhludpdgGI14/GMWmqADRFamPVJQR9+6hoNnSTI8AphQrQGpaEpomjjiVzfKy8+E1JXMMfD8AXZnLIREe0BmScswp9aFRaKIEydHWvOBeefyVUcbt8T3K0mJ4XkiXbPdPj0DF6TjARzAF5b+7fzv4fpcRYBdpsIuafhiKTv2irOm1XiclRdhgYqZPWHjrdWmmzSsQWyQJwzjnyneJ9hw/Kd5JVLkOitN8dJr88h0x4R74r362D3kgmDboeQ2PDweE4h0sETlDozChw+zssuzoItFlN/v5rgK0fkeDEmXrz5AKw9tXA2Nfkh2Qwlu29iy3/zxehZxaAX04hENEoHbHMfqPKUwez6rXBvv5izfIuL6Kj43J/b7cd0aJinU/U87iyYtmXwdzr8dv31yQHpuZk/K69Q4K/13c37ndHs/xN755B3ej425l+/rB8TrA6MDVvNAY8eWI99FygYQjqQZkHN+2DV7wT+mf/CEwsALNl4OQm4P6kVBEYd05PAOsoO2x2FOh+rpgusc8eTVgpZq56yTJvXgzu5jipPniUORBL2w2ycrX9ZqEdUHwoKRyB4q46DX4FFT8PyD8MTY1+jhu2tEA96yxgL0mLCkgMAgeHoSemoKIhk8Ax8TEs/ynqBJTl844HgL6nQ0cp0NMCTLxTAvnhHNDNz6SmIilv7YM/6kNifVRW6z1hGiRDFarQrKCwiHJIqhuqJQzcIZLC+ux2OTcMthO3yWfdbcmgZpyQjxVl1U00V4A7H6k7P0Gg61lA/l5JTs1IpxVzIiqc/Gi15fkqEF0FzdFK/ngy1F4PI0e3RpJfKbPcBUTbgfQEsO9+SV7L5HBY7wlWhFhNiWwBwuMyysrjrCfZbnkLVEOtaubwFMHjDS3l9SscLhE4UVG2RDdjm1v/Rff633Vl8z0c3+LKiKY7oiiouZIjy5yl82ODlU8h9OI++FhmZ4zd0L9ISFS8UDMos4pQD+4H67nsBfPx+GZg7mEZCeTF1EgF15khmMoEEwWu7EPAgXHotigUV4tm+1bv3pgX2YkDE2S1lImTKWkB8H5a5zaSfV4/ssd9qRwdHB74BlDxQZ/9GlE3vOd9ZpdVTxS6O2zY9Irqeue3A4ezUNTfXxUT4h33gToEUzcBZPwbHoBVH/Sw835g/RlCYCSMs2AVaO4R8p83y072AnkZHtHS6ieYQEUwiPJ38j0KW40UryY5rlqCbl4F1d0KHVoH1X2SDfpVmfMvlxeNmzRNh9hOYWLEpED5UP3JjcjfloQKBhBJ8Jl2RNSnoJqZTNYOxRAHh6Lwm9cCqpkmRVVojms+nAdiASiu+glPY8ADqz0tPiF41k+yMMmjdfD4EWvSJE6Dhn/JhPay10PlfwpMfF9cIo/IBIFJqPybgdxdwNSD0B1XQ5lzRK+Cw8CRL1sNjHbo9CjQ2Cs8Enoe2L8Fk2zVg+93ytOAB38JDHbJN/OOA0Bqp+GYVAeboXzy2YoUMnU1Ukdvw+GpgTMdWjJcInCCQo/vBeaKZuWryJ+iixz/YLpob2uDphFa4fU+BxyxJjAdvFimgAlZzenzXgKVuttcvFVwDrikwyj2mf4v/++K2j67JeuRTc3+s1Hhs+OGppRqKwd9DJLsUY/Lyp5goB+ypV3qA5ALwH2SPZD/Btrl4myCR9CSC2nyY6MTE5kwJyJsG6N2JqS3bubcraYAj5/kNgYoBpx8TnrR4Jx8Bdj7HwBNg5gY8RzNzZvrvGqJAolG+GhEN9gBTatkBhy2Lgij5y9mTGKCazX+ifVbgOy8cBFoolMpQ/WImp+eHQUSrTVpXaN/T1El8h2s6iIFmIisBBvNSQZdNuN4i8JEhFkhnwXl/6kc67ZbjWgQ8nUVFt4/ngEyZaA/ChwmK75sSH61c36MCZJnVexh6Apg9kZzXhclAlg14PMMH7UusLKycHqLsStWYbZoosC5G8QYid+F+VFZodMQihMpzb3QJO5xlHGsAIwXgT99D1RvP7DbWjA3P00SAQZhJoePfAno6DNTMSplRZxYWWG7iqOrPAhKXPN9MnSJ9C1Ouygmp6wemOStAmy6RJLaSBx67QbTeqn+9B5UfzFlHBv9pyaAB6eAM6QSpGeFw1D97v9D4I+3QCX6Hvfv0sHheIRLBE5A6IlD0B/569odl3RCsT3NVsDOz8lzwNUo2fNUlzsXqH7bsMYV5XeN9Cv79xqY/IX4zfv9EkciPvjI3vbACz5H53K5Wo+bUwNmG7a8zd6wN1plRhe9F9v5cMYMlsqZLPA9GeyM4p+1zw0EhYRIpUHTMrDWtWa8r+0xZoEVVEuTkbU1bPhKBdp7U0YtG6soD6zHpoEW9uMpdke+Qhmqpe7YOB4Wi0Jni6YffhQOctSPUrNWorixQwK3qWTQQIg9522y2ud9DS2yCicxbm5KlBZNJLHb4wRArAMoWm6HSU68fSkB9/1EEiWeg7POBeKtRmbXrHajbcD8JHDfLUBIlB+1v+nogOx9P9JFoCcKHOC519AcryxW4StphDdQRY/GTXUaB0Z22QfMMsHisVGe+AYjFKT3ZqA3NEGxVz5XhGJVgIRBTiD0RSUB4/eqOWanT2hlPS1TJN7+5FmdYXJFEmAVOHIAKuKDPpCCYtWnnQI+nwQOc1zQJl3jdQ6WTJj4fplpoOv5QJ5Kgd7GmcAx4eK4awl6YdL6Q9CEaFr4C9qrKtiWBUm2LRdDT98mr3noEZTvmoIvpBBYHzcmWbpQRXX3HFSDbfUEfJj+98Nof8ZhBE91icBTCkcWXDJcIrASkCsB5oIl0PN54KERWcFxRRixo24SI2XCj3K8bc1ip2tFe5Akw78MHQ+Kbj8RbTDxypj+eL02lu75QwGX0STQ3ST679QjiNjxLq74/auB3XXugJtPEoIf2wQxStdOyfsyuKxZA8VteqtfchGMYE9aNOl5wSeZkM9hMsMxOAbBaABVkvr2Z6F4TDxeYqEkK0KWyHMlaLYR7hYJXJ0rA6ubZNzfA9sL69ute589SeetBu45AkXxGJIG57kK55z9uJ3B/54kBwVbMiYBkOo+VFUkS93I6vqAtgFZCXObXLU2rxHCYL2A0swYMDMhx83nzZEo2Gq1FmyANsp4AWCoX1o8+3cBu6bMapXBXsX9wHwZaA7IsZMgOLIg0sFFeS8fpwHYw+d78D7PXZC6C950QN2UgAnyxmTKDwzRzY/aEjLuaYKk4WqQoJgB6AfBhIGCRfZrQKh8FjpdBca2Qbc1SPuHxxGlwBInGeqkiz1CK9s//PyNwFUDMGfPOX0urGKlECzY/uC8f1XaLRQRIkyyym3y+0UtADovkmsQkPM4dxd0eg76yDxw5wiCbSHoiJWqLlRR3EEyrEKwT4iw2cN5VGmeFXccgaccntz3Ul6/wuESgRMQqmsI6i//DZjeB33/52RefO2roDpXQSf3Azs/YwImy+GKUrweuHoO+owIi4np+ZyQpo4FVeZ44YfVETD3tUOzLTA+AuXVikNhKE6EUSSH4MXdSwRYEs7V2cISM5QStn+YNJoxngOh2ooadp9YXico3UsjJbr/lctGKpf2tIq3GYxYsjWWvyUTABkTyApXYR/0AAOGFll5M0Z5zMo5lRd2vJfwnLrKCOIojjWaTMkG3rN6gcoR4CCtnRWw6o+AuS/aYxQ2/VHGTgxAaRElMmCJ3+gihIFYn7Q8OMa2kJZdou1wpWSCmKLxUVsT9OQ01MiwqCRybp7ESZrscNsMansOQG9YCz2ZAhIMxrR3yEDbjoORX2Z7JFmprfgvsLoP+zNAR0iSxEco0KMNR8IkUee9E2heBZ0eB378DuhqBWojkxsFnHwtsO9GqEgQ+pTrAJIGb/h7035Rnaw+1Q5Zk/cxPmeeIwkqK0O2AjGRgj7nWqjiA0B/Bdh+SLQDknlokjdXXQss/Eo+F6PSaFfwiyDXxcpVG5dDK6ntBX35C5Ekgp+lJ/ecTAJNVE9sNMRVnZuB/sVO4H4aEQHFoEJxvIThHy6gu7uKECsQ7OR0BOGjZsIC0P6lLyG4ZvVj/EU6PKlwFYElwyUCJyD0/BHgh2+X/i2V4Ygf/DN0f0wCQFtYVr1H8qI3bw1kuIoksUw2YvvuyTlJJIyzIEVwIqbsvgjyCUplaJracPW/UIAeapc59GMJWEYApix9cyYCpA1s2Sz3m6mCYw6Eo3F8PoP99j3QPXa73C+zj9YCmMQvo+xHxrrt9Ro/BLt65LEuVIEFYXhz7r28S4hsgU0N8J3dDkUt/WdFoYsVKENs9E5mbXLBzIpTGIgJTW7BPqUKPf7f0lPmrwzkFOHhCWTPOuiND5aAiWE5fhLdvFVrmLbDtFNuAg7dbnUbOLpXhO7qNII27GEbEuZgX820iJibAfxzwP4ps7rXm4dsjqKhp9PQPxmDutRyDxYq0OQEsHozWQJ6LXfBno/FNVE8JERJJnqve5c8f7d4IKC5G6p1wFQJNKWM82TN83sRBB78ppBMWbG49aNy3kgwpG8Bv4PcsRmOfHLck0RH0XnQLMJkK1BMzDzQO4HHfmwrhpwCql2e+mfA9HeFj2HUJqlpMCD/s+qSD9rqSN33lIkUSYEcwzQtGY6lNss+j4xCHxiDUmOoDg6ZvwFfit+n2p9CoKJxZGcReXYUwmpxqIEVkeTDWST+6QsIX3zJY/05Ojgc93CJwAkIQz4bpkQqL+z1RDKqB4rkrgl8G4PQd84AG2NQPZaMZsl9plQeDUMxCBtveq6eKQl8tOqemacOlKF4wfeip+ELkOhWtBdbO8fPHixbAix/ezKvHokwMiQjhMa5z5Zg99MFkLKuMaA5Js6EDNKe8h/3zeMmeGA1gG6CTAJ4TPfMHC2Zy6dkK0juldc1RX2InGoliDvjpppg+srUsqctMHkE3HvK3VIRj/tFPftCUcyBKJBE7gLP2eg41MjHgDYGX5LYWNamtgGrDxVJBljhaOuv2xk7fpZPyuPJWWiW9YtlqFQS4A/Jk4YZTTfEGFR8Qc7TMQqIfC5lIjDBysxB2adfzkKxrJ0pozwtSWGgKwg1XgLWSC9fD1eA6QLAqQx+L9gS4Mjfts8AV3wQsPYJIvhDw8B+6Gd9EPjuX9ZEqRYh1Q+TdNgkyhSI+MMVfJQBOCwiSGxLEJkq9J4s0B+B6uf4pA/ouhJq5sfQVIqcnDH3mSSQmzeTGDQ+SgG798g2Nm8GBl8GBCaA+CB0iRMWFF26CJik22EVitWV0LlArF+SuZEvQis/9N4p4P5Zs4u5b46Yv5MGoxGhUGGCzOSFI6ieF1KulqCUz/lDNP/Nta4S8PuEqwgsGS4ROBGRJwGKpWvbz/XZ8nirtfmtt7WlVGw9Idz0qYNAZ9SUeR+F+r61eb5l3hPsny/kZIqAKzWCwUqz3SCBQJlqgHkTKWkXLSueAYwcAiJpS+fsYVN1T1WhGBy4zVjUegLYpIVBwRAcbfWBAX2bNczhbHzKJhUNCuWZMmb35xHm/d7hcF+4bQrgcCXP/eUUAI+LLPYjRyS94e3pIjRXwSxX87XreiRJmpyQKQv20RmsqCXQ2AWkbqqVpUlia2ViQbvcO2rnr3mdvNf8AcOWNyZG3Ae66bHVYkboSGKzExg8UY2N0MkZUXXcNQcki0bcSFEFkHoHPGStUYTP7I7xC6j/CE1wZnmcVRk//H1R4yJoyB7hAHDRXwB3f1w+Xs7XP/fzcruxRoLz9Z8N/fLrzdii+U4x6TDP6UZ11/3A371Tnsg87yKpSlCWWBkzKLaefNCNbONo6LXyeRhuwdgC0KmA7V8x3hHmc/d4ERtfCxz6D2Df9cDAC4Hkd2sHRY+CnV8Azn6FCe4Y/5pUWngO9++V/aNpkrpTqlGb/gIIPhPIzQKzv4DieCmpDgGNis2vqgtVlMZriQ7bTav/7R/QcP450DvvM/dFn/eSR/+NODy1cKZDS4ZLBE5A6FlhlquTGqG8FTwVfk3/nUFNCE6apdrzW03/V5PcFQrYUTBbUjejbySMSd/daP3zf6r8LY7M1ValZjIgYXvGHMniqiuTFrMZPnbkIPTqVVAR28NlgAs1So/X2hqbizRLwCT+9bcBhyehOHLogclAvXAQ/2GFw/SeS8A4WwX2OJuCqHASgI9lqygVNSaO+OD3V9DhTesNMABqCYoMUN78v1fm7++TkjNL8yQWer1s4vAUNMvs6RLQHYDyRYDOJmD4O/J4OmM8F9RpTxMpWu7H3AFrV2wRjFofhdOBha1A7zpgZA+QtZUOBkIaRVGtkSiXoBn02jqgb9kFzBeAddYUiYGU8/1k5t+RRGihhP13l0yMVEEf1j+Nn4lfSJRMmHTdDPa65wJ7vi+fY+da4EUyXaKa6qoXx0A190vF5odvkN+v/LQQO7/6tyZxMWeRH8ftlqB3ZT+QXBAlxov+FLjrc9LKIR/B603wGJi8kkfAkVfirNeKKqMRBbKB+cHPSuWIxEiTLFGUaha468vA+mvEU2BRlMl+X3I5w7PQbBt87f8AbTYBodlRTwMwLy0Mb71f4eddh95Pfhjxa66RX9Y5UyGHEwcuETjBoMcPAZ99j5XEPUZrf5EuZUVg6FDnkeH4P1faixa5ZFtbC15jLmSrA6wWcIVmRutsxCVBjcQ9mt94Smt8fnMH0NIh42B8bntCJIcpGsMAx/I2x+Lo8c5VnHlfMtjJque4Xdjo3h8F6sl7YCJhxvIsGY1LOcrFDtHESPr86b1ZVJIMnlZW3u9DpaIwNetH96CC3p4B1sahaEnM80V2uucJwGM0FQ2rw8CAZR6zx3iEY5N0AtRQtP2dzUF3loSAySoJt8WgUw+Wx5svA1K/kmOdoz/AYevDYH0GxmnaJCtsihQpT0HxWCSk1K6s4Q/PtT7E0jYrKRUT/Hv6lHEI3L+zgtyW56Fh6hYotiseWQBumwXOoJ1zEJj+SW27VC58nARAp0ceVR1YxPQIKsNjWLhzHr6ID5HT4kZnwgR2JgxMmHKibYHv/gv0C94JfOpdtW2zRdUUBc5/G9DQCtz7AfENmL8FKDTI6p5kUfPkau17O20dIfmB5wpQe74OTZ4Dk1EmcXOWTMjpCf5PHky9LgKfe7Kw/X27s9CpHMr5Cqa2L8AXVGhZE8X0gSK6zzjrsT8Hh98zvBXOUl6/suESgRMM5X17UM2UjQ48CU50nlss8fOiSbYze+hjot+uhxqMSpwZ9ePcPVfFDKxGVtVqBBB01OMK3xC9+D8d6zK1RGF2HmjkyjUi5XqPdEg1O+McxzaAbF8sXdkKaJHVKFsEZuxvsiYGxCoEL+4djdC0wGWSYWbYa77wmjoDVL1jBYHkPVrc9jcDM9bYyEuETIFDgkCoWRQGK2TDqwrKZY3wotWChmagGp+BGmIlgPtqmfj5nKkWaNaPGdCMCVPEKgszANmAv3cK+uRVUBwb5E+1DE27XSOiFIXieFlhGzQrK8Pb5bzw9Ty/HXb0bPc4MJYxn4dq7xYXQo/4xmMcSQKTSSgvqBrw/xAwvCAcAQsfk5KyH+vO9aN6w7eQ1RXEzm2tXfqY2ERCUA1BCZ5n/tWvTwJuer3cfs6/mWSAP5qVgOkRVP/hz41ioYoGENlEbwS2Xfh9IjekCr2XMslsSdjkKn0Mv+OSl0GFaIz0baDpDcCF7wfGvmwmATT5Gvwueat7738mBx6mOdJHsmwG6O8Fdh0CNr4cqEo1xoD+CH4FTR0FbmP9C4E7v2ZPoQgiGfVg21Li92TikfwilcPhOITjCCwZboDyBEL54AEk/+S1mN+WRWp7FmVKvM5y9EzLRb4hKKV/tgvYPD6l3fi7kxSouWLj2BpH1UiQY1A0QdeC1QK2BkgO9FbM0zPA2LhUAZqo185RtoA1EaoAU6Pi5seVNUv6nivgYmmfLQSa3DTKY4atz1KFFTOiNC4VDVdvAlp6ZcSOxLEYrX65Ug5AsbfPzXFqobUVqrNdOApUs3s4hcaeMKIdQZTyVZTzVax5YRM2/GELTnp1K8LNfmg6FPK9GMhzJD1ytViEHh8H2IdndcJrWxCsCnCVuzgQwWOoW1FEfVDJdO04GPD5eo4D5iwfgoidKdUVrw1RT3o8dxPwzLOhztsAHBiF5nlhqTufNv8rMtr3pmxJnSOWTETI4O8xxECS7uQ9/AivjyO6KSYO0UbpMQC88B2192JlxnMuICGvpVby1qVZ8/ObYKoDDdK+8YX9aHjX38lnw+/CaX+C6h1JVO6tM8CyKH3sA8Ar32J8CtAXhgrsNYmWKd3f/X7ofB665WroVBq462Hgvu3QuYJVBYwCXb3Qxt7Z22FtyI5ManBQJi9K//YJw00wtslG06AKnPYmIwusUIU68D1jL40DSaDlpUYTIdAeRHJaIadDaPrIR9Dzg//G0J23IrTWjQY6/G4wMTGBG264wfzs27cPv2+4isAJhMK995j//Y1+NJ/bJCXiBpaJKatagu6KLa5gFY1yWM4neHFkMPQC9ELervQ5imc3Xj/KxQAZtnazi317EdU9ChxB40rK6snrEmfhyQrn3LutUjDQcrnF57CNkJmzUaIkSQZ16T1Qg2D9JmDPLqCvB5qtgeExE3Qw5BnXMACGpJefLMEf8SPUEwH2ybEa9UAbfBuu7IQ+kpPS8KKqrpZkwCggWpJe/ZExOSLhbYDVD/vnQ6ElJldcDRunxqKcS74PWyGclDiw35jU6HOugKJ2wNSPxePek2b2St7W3tlUHhjcp7PAzx+Abo6LyY1JCmjqY6cZ+AJDCmVL4Q5pCVQV9EAYWB2D2p01x+ELBxDp8MP/3n9F4JyLoTedAT0/BtzyDmlhnP4uoKkHKibn0SQA41+Q291/DEUjH67+n/Nvj90aCPqg3vrPUE3dom/Q/XE5p5/+c+iYD9WxIlRrEKqF1SSF4o4F6ALHPzmJ4rMFDSabzcD37oDuCwE/fIecx8Guujm+ENTm8ww5UB/cAewbk0SJ9tB0TiRPhCDJ1IySauh7k6YqpU9JQBkp483QZ74JuOtjxmFR09mQAk/zc/BfIuSRrjf+H2DwNIRd8F8GWKKgEJ769fDw8DC++MUvYseOHbjuuuvwlre8Bb9PuETgBEHpzl9i/q//2szAN/U1oDzC+WqFIMVhPBiyvt8Emnp9eqMd4JW7PR/6Q/NQ1A3gRb09AcX+tWc+FApD8zalh81qNwNM5qA7OmU17sH0121AJBZKQKfV42fw8lbVHJFrbDFaBcbA5ajJBFYTuJpUIjLE6kIbpXqFjKaZsBxrcMTAVndXIOZH+/kJ6GQZajiP6poG+EI++JqD0PMVaErntpOPYCslBVYiyLHwrG/53gUhVIaD0D09ct+kVbPj+wc19IEFo9evOKa54yGA1QmKAMHaETOQj++G5nFQyW5gFdB6EUs5QPEAsGB9BA6PALNpYMRWECgJjHSt3TJdhOK+kuFPtr85v3WiRWYj5HyEgJOCUFf9PQIRsTpWfbLiV71DpnqxOPIZ7VxMAn4dHosboGeHoT/7h+Z25aL/C9932NsH8FpxcSRXgTyB8sE8/Ff8b/g3n4JQvorq6BhK//ROBChJzI/967fDR9LmfBa48H8DO78m35XxCWCwB2i7DGrsR/KebNlkqEtQEv5BKg/VUS9XaJV/T04AD8sUial4oYLqjp8B//UpISZOFuR7SOGlbf8CbIpDMXk842whQzosAyw/jsDZZ59tqgF/9Vd/heMBLhE4AVD+4bdR/cS70LE+RAl7BKxKXPm+1DGjgSxjc3yPAY9l6UZgjIoudtC7SrnbdsPb061V4NC49FTZc2Xgi0Vk9cXyMkvex5ARMXxIVsbeJEFTixgL8TXFgqj4eSAXgKvrqA1kxZwkKCz1clXHWvbajZakaKcYPHa4Ca6WWEjWuBf06TaXzZgJBxUPQp9KcZmK0VQwu0S9fHNiNHSLH2qoE2pzCHj4CDBBFUKO8/H9ySK3rnLG/Y4l5wgUV/q5EtSBYWD9GgnuVGjs40qU423Pg3r4u5YzkIeamgaGBuQ9mbyw/N8xBGS3ygqmoQNQo3I/qzAMVNQQoEgSS+De+TXMfps4kevQFgQmS1BsCUzm5OObKgAdYfOj75wF5jjWWIB632fhW3vuY35vVMsA8Mov1m7XPxZsNZUA7/avE6/Ss+ICWEmVsfBXf4HG8+T7p+LNwDu/DcWk55e3ofSpj6L0j/+IyMmN8IV9qIxSU0KhfCQvPg7+AnyrGiSw3/UlaVtYV0Pcuh8IHYBeE4P+1W3ArK0cBe1zuC/kCJjqgn+RDGhUJJkMlKmiSY0MQN3zOWAwBH3Yej14tRVWyp7/IaiOPpcEOPxaTE1N4frrr8fBgwfxrne9C11ddZNNFg8++CC+853voFAo4PLLLzc/xytcIrBMuQA6k4GKx6F3PYDKP0rPtxoEEjSN8VxuT0sATXYG+6SrgfxdQJ9d0XFFFa4Cq7lSLQOHxiTSmGSBY4SlGheAhepU0S7sySWYlbfIVwwj3dzLmXDWpzn7r2wVgsHbWAbTRW7CzupzDDFiyIVqagbYsFZkdFneZ2Anog01E57RUWBwSEroDLxHgURB7r8QxkyrYDoDnWHiUYLqboB+iNWGAPxljUqzgk9RmIbytBJg1ewsdFcU+oA1xLlj1pSUNaWKB5uBWFg8DpjgcDKAIgysWBQTQH+7VFgo4BSNQQUmoC+7QMRreC6mR+p2VQFbzoFqiEGvO12qDd5I4J5tYqBUKEIzQeOxeiVrvpRVHeMNUIWetOeIu0GhwBn7e7GKalbK7Iold750oSLkxF+DYxOAox77NQnAYhLwrT+xn5WCLleh69j4ei4J1RpFZXwGmQ99GEGKCfH7uzeFQCKIwJl2jHQb5/05NghokhsTATEx4jGc/SYgkwT2fxJg5YAZ3YZrgTs/U7ejtjQc4/ingt74OvljYF/qln8yioKmevL8D0mb5gcyqaD+9ENQiSHZhr8mz+2wzPAUkwX/7u/+Dp/61KdwwQUX4Fvf+hb+/M///FGJwDe+8Q288pWvxJ/8yZ+gqakJL3nJS/CmN70J73//+3E8wiUCyzAJmL78skUuQENP1LuGQa1tgL8rDJX2SvgUuJESsr7zu/CdblfnBOVyeZtBmBr1BEv9pn3AqYEwsEpK+9WD41AM4NTeN8p+dXX3XWmRr10VBZrKQFeDXMTNmB97wFno8Rng4Ixse2QrcPYmmcFvj0OZXrwlB5pSRB1BkWQzJg1MCPhDEpkp19dVIhgYmCAwOHOKoI+KcgB2sDrhOQ4qYEMj/Nz0hOVFsO1BEhrjBc8Rk4OHUtJXJjg5YSoV+RpPgYmR1ZiHbxaqaYu5qQspqI510KW8JEjGQpk6+iRBWgncaKsZZzN7XrYl/yr1HKrAGgZjDWzfDaT4uWhUk6VFhnwlWZSSef31qp0ldHss3NSWZyP7yW+Y89Dw7r9DYMNJkpywBfBU4NqPwjdfRvWHr0Dq9iSiXQ3wveN1pmpRqjBBqBjLCCLUXOdfcUxRCYfyqCiNwFqrR/Gzj0A1+KAHWTmyp2Dr9Sbp0yMZKLZ0kkWo014E7LzBSETjKx+S79FaWjVbo6oX/D+oll7okYcX21Wqe41b+Z8IeIpNh57znOfgbW97G7Zu3WoSgWNRKpVMcsCy//ve9z5z35lnnomXv/zleM1rXoM1a9bgeINLBJYZWAnwkoDWF3TJGD8Z2X4F/2mtUn5nMJsmgU96/orSuZ3sn7LXnVlk5etMEZicFxOfoS5gYEic32h1axb0FBPyQQ12ACmWzxdEic/PkTDrwrfoSMdRw5KUZI1rXF1A58WYV/C4rRQcOgz0JCShKNK10CdscF7oOXnAYM8/Tv7PSoHHMwgw4HO1nwPm6kSNPF0Etga87D7qN2p/VK4zoITuBT3QrWkRIOJ7d7QYJT+zYtzQAd3TBCSz5ph9TSHxHSDhMRCAjjeK4VBLm6zeOVkwe0j2a2QMuqEdmNgnrYvOVXJeeAxMZrKztr1BnwfLyucxpcgFmLbKjDQQ8otD31wBip8htfg5xkbGO887JxI2NgoD3lTAOe5mz/O+n8rn61PwbTkLavDJF7wxY4bXWNXBpn7TvWj67k+gJ0agP3CdYeWzZRJYHUFgtoCGs5rM+fA//69Q/Yd3oHp/CguTRVPJaFgXRYDJGdsC2bIYGhlJYlaBiuJ/QDDRG52EIr9htgzNhIkV/8q3zNjiUdbNPD/tUeCit0NxMuZbrwaSBUkMXvxhlwScMPjdcARSFDGrQzgcNj/H4owzzvi1W7vjjjtM64AVAQ8vfOELEY1G8f3vfx9vfOMbkclkcMstt2DPnj3mueQLPO95z4P/WNnwpwguEVhmYDvgKPj9CKxpMKIwps9KmNK3lbvtb5WSOx9aLPWzrOwHfj5c284VGyxpvm6JNkGd+7rysCdXXNaobmXyoTFz1zx8DX600mGO+gQH0sCp9LSvMxxqbZYqw6Tt6zKR8IclYfA8CsamDPlLb14DxcqEaRXQ5If/sw/OSoRNCowrYkQu9CZRsBl9oQDFCsRcWlbL3kqfCQ3tYoeTUOwnU2KY2vHRCHS+EdgxBpzSAEWtfV9FXsPjLJTNqhOBeTl/PfSsDwAT096VQnQTClng0FZ7XxR6bhYY2y8JBlsnA/3WwGnWOCzqnvVGBc/I51KLwQgrVU0SJmwN3l+1Bj1+VLJl+FaxWqOA8QIU2z3Uc9qbEQ7H5mb4/H7EPvMFqEQP/E9BEuDhWM0B/9BqYGg1qn/7r9Dvu860OagjELugGT66B/qDUCefhfLffAbVyXGU/+bt5nVM4IxhEbfRGTKW1eoFV0A1J1CdiUPN3Sqfd/33Kkaehf3s8xX5GhiPiaC0XS55q+zfnn+Rc1Xba6iEswt2OBoDA0e3yd7znvfgve997xM+TQzuxKpVtb/DUCiE/v7+xcfm5+fN1AAxMzNjbl955ZUuEXD47RBYtRpt3/4aqjf8JSpBhcBVb4e68YPAlmYpkzPwpAuAcRo8uuRlSG9eqdvLPBttxsveNKsB1KP1QJZ7lt4BIeiNvUY3wMjTljQq1QUsbMsgP15EhKNqDLbszy6UawmFrV4YAmD9NIFJ4G3SwhItl3SD3dCHx61TH1f9LNsHLZGOSntsNViyII2MPBTEGMj8UM44XxQZW7YFSDI7rUVK9Icnji5DUzmRo4chP/RAAog2CROfcr5ZrgyoWBiVCgF5D7wnX4DKT9WSJY4DTk6ZeXXEaUBUhGL9O3kA6E0IBY39/rExoKOj9hmwcmCPn4JPi58FJ98aI+IYeUpCTKKG8wh2S1nc7BP9DDyQC0FewDPeAzW4DoFf0+9/quE74yLoT37XVAcQ8SHQ3AK9MA/V3IPiXBl7nvMq87y13/sSsH878p/+GPzJKkKnxhAkGbKTya1wCFT36UDvGUC1CGRmgH3/YN+k7lzwPNZ/3df1Qs1+D2h7IzRJmIcn5LOmvPbZbwUyWejSYajOwaf0vDg8Cai/nvxPXw8Z6UskEkdVBP4nyOVy5rUM/vXgthdIBGZhq6/PVAGOF7iKwDJE8NQLoAf/09zmiJNu7QLuYy+Kq9ygVAK40mZSMJqE5sq7KWqU92Rev90EdH3NWZZJr6Qkf4QVAhLlokbIxgRA/mGQPMg3y6TF3c9fhf+CdjSe3oLGnVYopqihWcV9IIVqXsHHMjD/EFatltXwQhbFeRHsCa3qEvIdS+zUE/BMhFb3QyWsgVE6Ke0Fo0hYBFIcHayIaBFV+Ag+zkTB9PLJH2BAYN/cigQZt8IqVEsUumlQCJJUMZyitbLYJJPcZsr/xgyHf/1MPixnob0HGLGrf2IqZVojhgPhkRNH5oy9nk5OAg8loSkuRLXGkZQJZsaCN0spYSYs/ItT4kfggToByAKjbDdo4OxjVqrdETEEKlRQeWjOkB7RZffVtmVUx5pfS/r7fYH8hHqOgneprg7XlP4q6QWkP/hh+Y6wI7U3g7aXdSNgRv0sKBW87cPyuU5NSeVgiuRKVlF8QHdY+DBem4rwxmMjbcC6NwB73in8gS2vAD7/nlpOyKkGlwwsc1gzriW9HiZQ1ycC/1PE43EzKZDP5xHx3FUpN5JM/k62/2TAJQLLFPUzzmrgbOiWf7W/2MstS8bpPcDuz8rvXHW2yarUlNmzaah4VC7ARC4PnZTSvRpIQA90ANkFKF50jxyRl2mfSSBY0jb8gWPBfjbvphEOwQA+MWFmvIt75zD84QPm8YG/DSHUF5E2hyeoc2yXj8Y8rF6Y2xQIskwzltJZnmdS4ykRcsogQtfBMbG3NXPrdRyFSBTKUOztfSevkUmGPQeh2M7gaw4dETvhwT4xPYq2GlVDfb7dx9lxIJ+RKknG7tfuQwB5Fh5MIqIB6tWfZMWbOizpbTotK9jGCPTIrNymrgLfn4/T4Ia8gJ1TwregLK+xQ7bqgUGN9ANpNG5sgP9V74EaOg3Kmyp4qgiBvyP4GmO12zE7IXIsMhlUv/89+azPXyPESW/Sj99Zo/VgOQXeWCiTsKe/zbgSLupZGFGneRlFZGJ8HyWLHRyePGzZIiTinTt3LvIJstmsqThspl32cQiXCJwgUPHHEHr5dcQTltK5iubcOlfGI5OLJW89nxb/AV5fFw1daBNrLX0Nk98PPZ0UWVfqtscDprSu27JAW1hWwlw9F2ahx7LQd/O59e/PUjtd+1ZBNbcCVLk7ShCnLpAzqLNNYCSKSbKbk6DNAElPem/ckPtYrEAbAyUZtzNaAFQzzNbJ+3ql/Z4OYHxaSsckBho/ALLzA4uTAkYJke9ZyUKTC8AEwjxgzZYe/xMBHp4BTu4EKHvLgEUEWJ5uAKbSwKH6vrW1TZ4lz4EkSdHpx0AU1ek8Ut+eQDWlof73J+E740IsZ1Ctb/19P128HfzSZ1D+t7fBRzJkcxABCj3x1E7OQ5Fg+sX3QDeGoV76Dmj/BPCjTy3aAqPoq51bM/oaMcRA8zgTtrFtUKPXQ/e2QN8+AjUYBs5pFc2MS9/vqgEnAo4zr4GzzjoLa9euNSOGn/2sLMQ+//nPm2sRCYHHI1wicCKDq06OB9L45tAMsGfSThE0CFPdK4mmJ6G6WmVUjzatTA648qV0MFXeSOTKkbld58oXiUCta4cmWcsQ8uzc98Np4CKq9LEiUIb2Ub8+hGBfGL3nxqHifqi7ZqCf0weVnAcmHoJe0wcVs3a8k6PWFjgmwZ8kQ67ojv2D9ZIWlntHxqFoesSA3twA1d4qj8/MCt/AtBRitTFJux3VGIfmmOQDu83KUvfEoMbHjOPfogQyWwlEcw/UfFpaANNsRwAYapeRyVIZPl02I39m5clcYjIPMKDPL0CVAzVVQFZJ9qUAfx3pjcdBAuAhW2lgAsAWAH8CfvjjfiT+5QtQ8S4h450AqJfuDaxbD3932FhGL/wqCV/cjwZOfTAHvOoaIPUD+AYiKHz9A6hy+qNQRqg5AH97AOW7U/C/4K+gSGr9wd8AP/gA9LUfB+ZHgBveD0TeA31qt3y3SMCkpHFLRJK+9t+spOiwDPAUJwI//vGPceONNxq2P/GBD3wAzc3NeNnLXoaLL74YPp/PkP+uvvpq7N271+gI/OhHP8InP/nJxxQeOh7gEoETHQziqSL0jw7L75ky8JIhqMH1ted4I2gRcQhUFOjhKru52QRjPZOBmisCnfbrkslDMehSbc+MJQLVHw0bRjt7/2pzL9TIhEkCSCw09/XH0HB6Sy2Gk8tANT1v8md+Tsb1SNgjSNRhb1gr6DRX4uJ8aCYK2B6gEyA3NDZvVPh0Rwwq3gh02fYHL/x21NHIINOnoKMLGBkF5lNAolEY/2wXmJJ9SEyUOlskcah41rW0JbYchv4haVOM75KDWLUBKm7L3PfdDbU+AXCRz7bJljbxPKCcsF/X9Ad4rmMM9DQvYrbE6Q62Mvi49UNgAjAQg3rOX0L1rje2wIHEY9j+niBQ7YPA274JNXIE1df+sfBN+v2oFsoofl64MNWH5nHgoRL8fo2OTpGcaHlxl6kW6Y+9A+p9n6wVlEj2vPVjtfM9MS+KmGy/sIpwJAtc85HHrKI5OPwmtLW1YdOmTebnkksuWby/pcXymwCTENBM6OabbzZ8gY9+9KPHpX6AB5cInKDQBfaa00Df84Dpr0A9SzJRfU8K5kpKcxdP7L+xE0hPSAXAQ2wLUHhAVuVkz1fmoCeF8UoS3LFju+qKddD3HDIBn0p8mtbHk3YF3tsKXyuNduycrtEUYDtBFAUN54CthP1zwAYZV9Qz01D+pHFOxH5rW8z7Nw1AJVNAY5NJ5I1rYiQMtb5upcxV9/Q00N1TM6Hh7yTqkL3PIM7jMsmCH9WREnxMBDz2MXUKdML2pD0OA1cdPqi2dujztgBTk7UkgCBdgcJGF5wu8ShDImQVaOd2fOb5htjIVnecXg08x5y2sO0LtkoOZUWLge925V/Cd8pVWClgMhBoH0TiWzfJHdOjKP3f15qb1YpGwfIhPFCHKfWjKTS0h+Cn/gBbRB6YuNVPFPBzY7voLf8C1dYjdx2H5EqH5eE1cOaZZ5qf34T29nYjIrQc4BKBEzUJ2P9hINIopMHmhsXyunrtxUBjO1QoZkx+ENoIZB8S5zfjbGdd8FJbxT3QF4EaaoNmyZuBc2Zu0be9HqaXu6lZSF2cMuhsE6c/o2HgA5gYwF6sufgtVUSghwqEJAJy+2R+e8lCLCDiQPU2szy2ew9BDTUAB4eF6R/2QfVxtLAOLOv39ol6ovd6VgPmZ4yAkKkuMBkiOJI/noPPyt/qdqtMmJyGIoeBBkNlugvGgAATlygUORCqDD05LJMUxaLIEDdKdcSoJfafJFyDfXcDmUmbUFkuQ6kIRTtngjLLa58HdeQm4JkDQrScy0Ft/RfoVadBncCVgMeCf9AmdIOrEf77z2Lhzf8LpUwFlaJGwNg9K0xNanQNKgSYBFIP4rr3Q3/+feb7o97yz/D1nw39B1+ATo6JxDJbLY+heeBwguApVhY8EeESgRMRpaRl1RckeHFaoLlNHmM5PGgDFhX9omuAhW1AhKpvFCKidXBBxuiCEaD1CmD6h1AM5MEI9OqToQopYOc2Yc/H7XhMMAjV1QZNjX9rO4xVnVAk9lEQaOAkoKkdeudOGR0k45s/duVmFt/9VPazBDomMHysWIRmu8DzNFjfKEkDSYFsO/jq7JM9GEMlqiimpezOkUMeG8mODMj8wy/khR+QyiPQKMRCAwrgcNzPkyzmcZNfkLM8hVDcrFYXvf5ylkC4YQiKY420uY33AllRZ0RXnxw/kw9KJC8ebR0Ofc/qJyhg9dXAtm//Tr8OyxWBcy9C9GP/jtIbXoNAqIK+Ncp8twJv/yAqH3mX+az8bDu1dspnUdRQjTJ+qRIcRXWB38Hht4FLBE5EhFqliUp0vhQINAHFCcN8x/xPRbff2OXRWKYNuu0qYPaHQDkDxFmaJ0M/JfFq7qdAOA70rgESfRLCZmwLgcG5Z7XIBLOfP/AHUIVpoLjVkP5oiXwU2EMr2rE5dioW3QRjRuBFJeLAgq1IcCXvjRbuzwBn9RnxI8URPtlz+Y8aCSR+UXKYojLGX8A+xgSAPX1veqKr5+jsn6/hW3ieBJyU4OrRq0IzoWlkcK87jvrbtGYu2PG1RcIR9QvqbRb5GfTKsczPyv885nin1Lc7ngYc/D40j/tgCtj7H9ImeMlH4Vth1YDHQvD8i9F8480o3H8vSh9+lznPkbPOBr56EzBxBL6efmOtrN8vmu/ONGgF4jibGliOcInACQgVaocefNPibQP7v25YB1Ss34C/0QRRVXkEOtYNFOagWtfJ8wKnAmNfl5YBQfa+t/ImwW6dLeE20YGPVQES4B4CcuPSNkjNQ7P/v2ajPI/mO9QGOGUjMDcLZeyF7R+hWZlbJcGeLuMhYP40D+yXx3viAKcW2uMenw5obhQnP38AumuVPJ8xenjnov6A3ncEatPqmqbAseOUE5NQcyng5GbobXPAmUNShVB+aCoMUmjJeBwwmeCfCpOEWq9atbYAbdQxIBFxo7QQqkWocg6aVRdWB1gFYCJFwmJHA1DMANEuqWTkpoDyVqB/EDgoVr6L2w4f0+5YweCkRMPQalTOOkd+9ySUB2oSri4B+J9B57lAsHblgQRU5PhktR9PHIETES4ROEGxmAA8lrVsvb1sVVbYKhCF7vkDIQjy90gfdPcfALP/XZvrP/CwjOANbZKgRzScDFXca1bCmsQ69v0nJ2QlzqoEgzxX0UwWGtqhUrNA3OrmMzCHGoCoXXUz4DK46qKIxvC2IXY1Q28dhw7NQA32AmEKCJHTUIKiq5/3h8wJh4cnRZKYJMOZPHRPN8O5BOR4syQJpSI0xxSNCqFFXwRoahBfBILVhYf3AOdukWNixYNg/7+tT7aXTdqT6ociQY2jhoU5c65M64ArfsNorGtdxLrEhGhhHqgjG6qmZujWFDBpqyDBxxHaWcF4Kj0UVkwSsOvvgEQHMH3IeDHrU/92+SUDjiOwZLhEYKXDFwcanmFuKgYumwiQ6Kaig9AkyZlApqHWnCxOgbFLAH87UJmHSn5Ppg9IjOPT7IpZ0wWuu0vuY8Dlipjg6pyl8aY6vwC/huaqWZeg2Iv3iHT1GGyUcUPj1EdUgaZeGdUrUKyIPfY8MNQE3DYt70sOASsWiQZgIQXVZqsduQwwcvDohcBgF0Bte3IriNk0kM1D37vdkAPFLyECDJ0kfzXzE7Jtbm94HIpkdIosGSs8aiqQj2ADPasAfLPEAFCiiRFvN8t5HR+WBIaciHgImsd10bsdq93hyQdJxfwOM7n3lDtZpVpuiYDDkuESAQdJBjw0WuUrf8KUDBW12rnaD6wFCtsloOk8VLhDWPkmmvqg4+cBdIhr4PPtuB+DIn/nz+xhIM5gS4vebmD+1sW31GwL7HoE2LRGHIdZOi9noBP8euatRC/VBB9jlVzICFeBFYjpWaAjDlyxSQI3dRF8CzLKl6iJx6hoHLpjCPjZVui0rQqczekCLdUCTgvcs1Pu96TBvemHxZ3mObJ/PoOD0IfukaqHGY1sA1RVzIhMYlAGIi22YlCnRki+ACsfdNrjmGNXJ1AcE5Kmg8OTDbbBTILuVaxsG2yZge0708JbwutXOlwi4HA0mAA8CiT1xeyFogEo7QIKHQCrASTqtTwP8IUNCVH1nwXdth4qH4Weeti+XAHt66HYBjDvMQXd9yqgRLvem4Hxg7KdBJViKAlMU6I1UI0zZvJB73nI6g1wvLEMNHebIExLWwZdTTc/Kv6xVcApg+YOqMy0sSVGpNlq+aegjW6tEIuMn/1VpwE79sqkALUP9h0A1qw+2uo2X4Ru6oVqaZO2AK2RM3PmNXr8iBlL9DUNQkebpL3BtoYiYZBeA9a1EJzUiEplIDVqqwPnAYf+WxIYM3lgxyXpVXDzO6Ff9Dk37ubw5IJVvKSdbukeBGLtUFE7Vrus4DgCS4VLBBx+fVLQ9AIzbaByty2Wuh+VP3MqwfTDhYyn2PMvj0D1dkNXilBBkhKPIerN/LfYyrKX74n+MJAyGOZngWpB3shPb/owUArLWCPfx7DpGTTF68CstNusa1+FngcBgIkAA/q8GCmhJQCUrUFQ9/OA9I1mQkEPy3SEbotAkZ+n2euv6+mvWwfV1grMTQMDzwCyD8sIZopqiwvQ3WxjKKhQFJr7v7ji19C0SCbCUahSBprTFdx/7vP0bTItQT6DcWfMiQyxtTx2cHjKwO9jckZUPKvCb3FYWXCJgMNvUSHwTF3oiMfaPfX0m4COV9pvUbOQ4zr+ACjda19YldI3x/yz09DTh81YnW/w9NrjRiGO43TUHOgBRvcJsW91DJhi77wRGDkgZfmuQdOSWDQYMgShoBgMdW+QWX0j26csV2ALMLK7lmRw3zs3yG2OT9JbIF0ARgtQNKEh4mKdrOIR6Oe/SKoOTS1AuQD4qkDmASDaJm/Tth5YraA8Ul9pwQgJaR4zxw4XkgArGcTqk6CjjbIvnmCTN2LIZCWZNNwC3fkio3ugBk9y1QCHJx/lNNDcLjLMUyPA9BGgfwoIWc2R5QJHFlwyXCLg8JvBMcP4VUB1Dli4o5YYBJqPmVTokwShnAKqB+TOxsugH/kMUCpAhavQobOktz5/UBT26DpIwZ7RUaClqWYrzlW+rwz09wvTnq2DSifQco4ZXzTTD5F5qMyPZZVtKg5aEguW73lxOO2vRVxp/DuikuhpKzAIU3a2saHmd0gRoq4WYGGaM5FQLd11nIA6dzuKNDFoV8tQPttP5fsbNeKCTCUEWSGpOzHJscUKhfbIiNHzgLu+DJ0rQXXRGKoC/OvHgXQZuisK/d5vuZE4hycXvqhwAkqFWuWMt5cdXGtgqXCJgMNvnwyYhMAGf95+POIh1fc6X21+VYEW4OS3A9mfi2ZBpANI/wi6sd+6AR6urYzDMaBvnZTZK/mjrYiJfBUqWqcWx30IvFhWNoy8vogIJ+W/I7/TBbC0B7p7iwngxnHOaCSwZx+EagtCP2sD9Pyc8Q0w4Z4jjfRhKKaAAHULRqGa10K3nyJJQHbMjvc1Qfv8UOQdlO0qn/WMjnVAbgZoaIRuaJQLK6sYdIEs5KHILWCScN9/Qk/QijiP6uEFqNaAmOJQZvlYpUQHhycDqgwVikNXfWLpzMkgz4DMYUXBJQIOTwyPlwA86ptVc+JSoWag4pEQraJhIALd3ieTBNO7gPYFoKUH8IdlMU2BIyYDnEx46DYJ7Jte+xj7Q2nkptp7BTugexJA7hdQJSErSoC32gWEeQO57dtyGlCYl5V8Lm36pIsgV4FkQ29/66cGyDmk+qKVazZ3sdJQH8SH1km1IOeZLSkzpsUxTV0ooHokD52vwFctoLQnjeDqqOzWpa931QCHJx/+KHR+ATqThd47L9/dc6vLjyPglAWXDJcIODw17GQP/mag6UVANQ1U6HGQEPXCjiuAzB0yx0zEeswKXjckRMwnOw+0/HY2nipIKWMrANR4ufyfuaX2eKgNuut5ZhxS+Tm7PwDkmHQcEgvbfdsA2jR7YkAkSRqXwBB0ywYREDJchKy0LMhlMC0Jq9joYTEp8EHT/ZD8AOoolDUqU0Bhaxo6XzXueeH2EHDElmW/+gno0y+H6hla0ml3cHg86Pkj0LO7obbeBT2+AOwUYTE9Ogb0L8dEYCmmQworHS4RcHiKRIueVbtN+BNQ/mbo8hzQe554HoR7gPH/kMcbzgRyD4gxEsfxaFQUeAyhocerWsSeXbtNNL3QCBahmgfmb5L+PnkIJnGImGREBytA+mFRNFyYA3IFYPAsIDtpeAVmvC8zZsiGOpKwAkxzQICJAomRVWgKIqWZzGgzLUBQBhkPHhLSY7EKPVqAr6oR3RxHbnsGCxNFSQQ8lDU0jY1cIuDwuwRVRCtp6Gwa+sY3mURVt0SMwZiXs+p0BcfM9zisALhEwOGpFy1avC9m7JA9qOhq6P7r5HawDYiuh16YBM66TOx/YzVRoCfcwvD0EcrzdVMLdhUR3ARUdkPFOqAH/xAYFwMbdPQBlb1AWBQETVJCUh/3uZiFJjeAlQs+SL0D3kqOGM6AUVZMW+4AJYUjtHFmIlExyYBnjevz01HPh+JMwexSYG0DVKYCX8cTOFYHhzpUDh2AntwPFWmA/5QLACbb1QXohZ8DJWpWhMSQK5MC+vrgWxdBdXcamM1DNzsdgZUIlwg4HFcwCYAHfxNUY63//zsBpxpa/sD+YlUFKZaU2y23G+oCMMmAtT2DRi9Q3gFUY6JhQBEl/yrowg5pEeTS0JkU9Mw8sGsUaoxkSAWc2wF0c8ywAXpmAihUUclUUSX5scmPpiGrJFjShqJQSZbhq5i0wsHhCaF81/eQ+9g7ETuv2RBfy/lXwz9gFUBzk/KkeD+wth8o5qA4fksdC2sJHuiocXuWDRxHYMlwiYDDygOTAYO6JCP6TPOf0hVoOjBSyMisnC7jUKI8hxwAYzY0DoQSQDM5C+MycqhCwEM/Ez2F6RywNQndFjLpA4bTwEmtwhnoiAJpdhqUEWkkW1uP10a2quQJFKoiNOTg8ASgd/8IescnEHtWh9wRCsBXuQOobjm6D+4bgPI9LPLCOauzkQgCE0B1fC/8gyctr/PudASWDJcIODjUty7K01BGb50+CedAs1ow/jl5LPFMmQKgGiKFWLw1e0MnME4fBgvyGdqiQEIBjZRgTkCdebU81nQn1AUh6Il54J4DUEG2G2RTlcmSbNtss9YycXD4ddCzw8DCBPDQJ+BPhIG5nEkCsK5fLMP3PghsOr/2gvQ9MiKb5ditQJ3RDZ0vQP3gg9BrT4dqG3AnfQXBJQIODvVQFBvyy7hh4SEgfE6N/U/dg1QauhqEai0D+aR93ixArwFvE3REPKUR2LAFavXZdHcFFDkAZahEk6ggRmp/ekwGQKuGPlo2A6onCBRYxnW2uw6/OQnQX/gj4ZysaoTq6YROpKw/iNHpBAaeBjScAmRvAoppgE6fNOVq6xX+CoW94iT0Bo2Xh06OLbNEwAkKLRUuEXBwqAeTAJb96YNA5MeBUh4o5KDv/0fTT9V7C8AL2FOlOmGfSBZTMOikc6AP7gJmLPdgYAtUYwI6dQjI0xqZIkdUSPQBLY3AQCP0QgGICU/bN1EU62RWI65/K6qv/Ch8689zn4/DbwYFgdZcCeQfgKJSJ1sBrf3G7EolfEBxO3Q4Ycy3UMiK/sXsOEBLboLkwYAPiPoB3zITtHIcgSVjCcOXDg4ncDLgC0NXB4Hd1xt3RD11BGhvMYHc96wNULRwpUJhYhWQWM1+gGi1k3zlgY8fC79PGAdMCuZLZmJg0UZ1XQw4uRGK6oILJeBzb4GessqLDg6P9VVtHQBe+U/AheugDnwfmE3amXpllDpVRFpM5jtHGe7+VwLhVvEBaZRpmEXQzpsYuc+d6xUGVxFwcHiU5sEzZWzx3r8WQlXWrvDbWoAqxwBpQJSG6uyuMfvDMei1FxrTJN0/auSRfYlToed/YUyQNHNuuh8eOgBUS8BsDvBXZHthH7DlZKiDe+SK3RICMjnjP6DHt0F1DLrPyOFxoZpagQYroFUsAuuowLkbKhwBApugtR8Y+4Z99j5g/4PAwKB874ypVgl6oQiEtHhu3Pc1VIfOhW/w7GVy1n1LXNP6sNLhEgEHh8dKBhSJVMYHWSgCvBkKA4ONsppnMsBVPA2OIicDkbJIBzMVCNJquAqdvUsMlqgouHWbJAJh2jFyiVaRUqx5PwU1uAo47c+gFxaAm/4SGGwAihXg5x+BHjgVqnm5yb05PCWokA9AbYsQMDgEDL0BqvUUoLwGKN4DqBFAD0E1dllzrBHobvb/PbltflcBRVGh3mbxw2DVKj+zfD5A1xpYMlwi4ODwGFCxHugLPwakxoAf/TVULAgdbzWz2TrQABWJQrU+Bwj3WSnig3JRVWuB6sM1p0OCZdgOJhAA9o8D574ZqqENmgkAnxYIQjUPip0zpwyvvR565gDwg/fWLtgODo+VBMzdICOra94s0tcha6nt42xqBagUofx2RNADx2IjTYb3gonatIvadDLw0MOmArYUxV6H5QeXCDg4/JpkgMqBOO81wNTN8K29ZPExrdcCDZtqT45cJv/TodA8oQKETwNmfkhxAqhAGLpShnr230N1nibbf7z3beo3P/qV18vvrhrgcCwq9OrI1E2eRIHSAwC/fuFLrN7FqDwYzBhlTk1zLSarJL9mFszq/yiwFUW7bmas01NQ65bJaXcVgSXDJQIODr8JbZtMIlAP1bDqMXUIlC8OPfAmuUinbxE+AEN+xwAUV2ytv32/3yUADo+bBGR+KME+vAXwk5Rax/SvZoGKZ40txFTzKMddqYAZTxiJbPiKx3yHWVHwAbEQtH85VaIcR2CpcImAg8NvgOo8HRpvgl4oQbXSlTDw2N4J9TLJHCmks2HTaiB6LtT8T9x5dvjdgUlAfgqo1gX82NNkYiB7q1nde9Cz+4B2mnAdrq2gGzqAYAOwjpLeFcNTQT69WCVQjb+l3bjDCQGXCDg4/JbJwBMCTY6aXiDlf96OWLJfYBlquTscX6ChVsMlQP47R9+f/plUn0IkuypoJqxsUS2kgGocaPsDYO4OwD8HxVHCpiHo7IRMxhRS0JVSrV1FR85lA9oQL6WCobDS4RIBB4cnC57joflLcwmAw+8OmmTApmdA5e6q3cdA7g8CoTMBfwwq9SNoqmHu3wvs/xsgFgWiYdEPGDgNmnwB07rSIo4VCEI3iu6Aau1ZRh+XUxZcKlwi4ODg4LCMoEuzwOhn5XbLM4CpHwgJsONqIH8/kPoJEL8UaLwcCGYB9ZNaK71QAEI5EReqcHSwjlsQb4PqLMqUi79u6uV4hzMdWjJcIuDg4OCwLKGByh6gZQ0Q2AiVucu0AjR7/smboFQQqu1F0M/8FJDZB8z/t7xMhaDTI0IyZEWA3hjBmGhemJZADgg8PgfG4cSDmxZ1cHBwWEZQwVag9YVAy1XS3y8VgLlfmsRgUb7a3K4C6R+LZHVTP+ALSS89GLZkQg1EqCxYtP4DMaB9legM+CLLrDOglvCDFQ9XEXBwcHBYRtC5cWDrh63aZbB2f+dagBbaRdv3j7XJZED2Z1C5GehYp0yzFObEaluX5XUNzTYg2nZA/8uhIp1YPnAcgaXCJQIODg4OJwLYKw/GFhe4upSR1b1VGTD3N10OTUXC+Vtrr2NVgUJYh3Yad00UfwJ90T+LoJbDioBLBBwcHByWEVS0G/qMD8gvhRlgx0eELJibN31/XfQUAzW06gOKB8xUgG59DlRlh0gSx84Bpn8snhmhBrCLgAX6a1jUCxId73BkwSXDJQIODg4OyzAZIDQDeTYLUBo4OS5W2CWrZhlrAPzDQDAIxHtEf4ABn/4D2XuAaLNsg9MDxbQkBT5LG/NHsXzgWgNLhUsEHBwcHJYrWBFQGmiIQ+89aMb+VHfb0QQ49gXaXwJFgywG+nJqUWVQZ7PQoVOh9vxCnnfBO4DEkGsLrDC4RMDBwcFhGUJnx4CZPUBDzE4LAChXTHBXVT+QsIJWfS+DCrcBhWEg82MjPIRyCXohBzzwAJC7HbopaOyHER9YfkmAMx1aMlwi4ODg4LAck4BfvVlu52k5qAB6CFEMKKyhLroEmmOBfCR/D/TCHWasUEXYHigBoZj4FZy+BXhoO3Dhe4DGbqjGPiw/ONOhpcIlAg4ODg7LDfVkvtkFIFsCZkvA6jjQJXLWZkSQ0GWR4qf/QLkgZEHlgypXgUe2AhEfkOiGii/HJMDhdwEnKOTg4OCw3FBH5iv8ZBp64Bq5mhtpgAqqwzuh0+PQ2enaa6gTkJuFzs3JWGFzD8AKwZIMe44DLElMaKmGRScGXCLg4ODgsMzAPr5e83+R++QOVA9moVadBQQUsFAEdo8Ch0aB8RGjHEihQV3MQkfagObV9DCWjXDkcO1JwNP+fnlXA7zxwaX8rHC41oCDg4PDMoRv7TmI/LP4B/gGVqGafxXwwNfFMKglBoTpJVARDwFWAMzK1w/0vFo2MPE1USaMyyji8oUbH1wqXCLg4ODgsEzBBICgiZAa/j50WwRq/QYg3kppQaDINkBY3AZDp0MFmwBf3Fhk697XAoVpURasKRU7rEC4RMDBwcFhGUMXp4FS0iyMVTAk4kIeTBVATIgw92OgoUNW0I3WsOiRj8s2trwbKtKFZQk3PrhkuETAwcHBYTknAQc/JmOD574OSN0JVDJAfl4CJHkA0TYxGyovQFdLUHQhJIpJnBhw44NLhUsEHBwcHJYzmASkZoD0jUAoXGPB+4NAIApErLBQIQ2EzwQig9DZEeDQvwGhEDD0+uVbDXD4ncDRJR0cHByWKVSoHeh7zdF3ckxgIQeV6AYiTcDcIfmhl4BqgE4fBnZ9DFjISMuAqoPLGW58cMlwFQEHBweHZQyV2AR92geBSh56/CFgz1dlcqBtASBnwIMuA6PXA5NHAB8JBT6g7cVQYfIGljNca2CpcBUBBwcHh2UOlvZ1JgX85/8DHhoGUrPQD98FpKeEHMgqwSJxkFICGjgyCfzs/0GnRn7fu+/we4ZLBBwcHByWOXRpFjjypWPvFR0BEgY9BMLAmtcA3dcAxqPgBIBrDSwZrjXg4ODgsNxRLYg4EFGsAkdywJZeIJeVQLn6ZUBsCMjlgJvfJs/jlOHTPgiVWMaqgoT1UVjS61c4XCLg4ODgsNzhC0Ml4tDXPg8oFoDChMTGnucBjWuhGjeap+m5OwHaDVdslSDc+Pvdb4fjAi4RcHBwcFjmUMFW6N43QFXSQH4a2Pe5WvO3WoBO7ZSpgT3/CnS0AFNJSQaCDVj+cGTBpcIlAg4ODg4nSDIA/kSGoFeXgJGvAeM/qD3BqwL4AsDF7wbiA1CNy7wtQDhlwSXDJQIODg4OJxriawEfWwB193Gk8NS3A6E2qIblbjRUD2c6tFS4qQEHBweHEwwq1AEMvu7oO9dcB4Tbl0asczgh4SoCDg4ODicgVOMm6JPeDVQK4kBI7YAH32Ue06e/Hyp6gsgKUxiJP0t5/QqHSwQcHBwcTlCocOfibZ2bwIkJ1xpYKlwi4ODg4LACwAoAKwHebQcHDy4RcHBwcFghOCETANcaWDJcIuDg4ODgsIzhWgNLhWNJODg4ODg4rGC4ioCDg4ODw/KFExRaMlwi4ODg4OCwfOE4AkuGaw04ODg4ODisYLiKgIODg4PDMoYjCy4VriLg4ODg4LD8OQJL+fk9YX5+HuVyGb9vuETAwcHBweEEsCFeys9Ti3w+jxe84AUYHBxEW1sbvv71r+P3CZcIODg4ODg4PIX44he/iFKphNnZWdxxxx1405vehGw2i98XXCLg4ODg4LDMKQJLaQ3gCUNrjVtvvdUEdJb3HwupVArf+9738K1vfQvj4+NHPfbLX/4Sr3rVq+D3+7F582Zs2LAB27Ztw+8Ljizo4ODg4LCMsdTyvu8JPftrX/sa3vve9yIQCGD79u04//zz0dTUdNRz7rnnHlx11VVYtWqVeezVr341Pv/5z+NlL3uZeXxubg7Nzc2Lz29paUEymcTvC64i4ODg4ODg8FuCCcCNN95oqgGPVy34oz/6I1x55ZUmIbjlllvwnve8B6997WsxMzNjntPd3Y3h4eHF1xw+fBg9PT34fcFVBBwcHBwcli1S6YUlMf9TfL0t5dcjHA6bn2NxzTXXmP/vvffex9zeAw88gF27duHLX/7y4n1veMMb8K53vQvf/e538ZrXvAbPf/7z8dd//dc444wzzPMzmQxOOeUU/L7gEgEHBwcHh2WHUChkVtYDA1cveVvxeBwDAwNH3cdVPFsATxRer3/Lli2L9yUSCTMh4D3GRGD37t14/etfj46ODtxwww3w+X5/BXqXCDg4ODg4LDtEIhEcOHAAxWJxydvSWkMdU1V4rGrAbwOSB5mkRKPRo+5vbW09ilj4F3/xF+bneIBLBBwcHBwclm0ywJ/jCdFo1CQnHA8MBoOL96fT6UclB8cLHFnQwcHBwcHhd4S1a9ea/w8dOrR4H9UDR0ZGFh873uASAQcHBwcHh98RLrzwQtMGqFcL/P73v28qAhwpPB7hWgMODg4ODg6/JbZu3Yr77rsPBw8eNL9/5zvfMaN/F1xwATZu3Gi4BR/96EfNuCD1Aqgj8LGPfQxvectbjHDQ8QilyZJwcHBwcHBw+I3g6v6b3/zmo+6naNDTn/70xd9/9atfGVXBQqGAyy+/HC960YtwvMIlAg4ODg4ODisYjiPg4ODg4OCwguESAQcHBwcHhxUMlwg4ODg4ODisYLhEwMHBwcHBYQXDJQIODg4ODg4rGC4RcHBwcHBwWMFwiYCDg4ODg8MKhksEHBwcHBwcVjBcIuDg4ODg4LCC4RIBBwcHBweHFQyXCDg4ODg4OKxguETAwcHBwcEBKxf/H4Ycm5yoWblAAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "\n",
    "# Tracé\n",
    "points = ax.scatter(x, y, c=L_d, cmap=\"YlOrRd\", vmin=0, vmax=log10(D+1), marker=\"s\", s=0.75)\n",
    "\n",
    "# Création de la légende\n",
    "cbar = fig.colorbar(points, label=\"Densité (hab/km²)\")\n",
    "\n",
    "# Graduations entières de 0 à la valeur maximale possible\n",
    "ticks = list(range(0, int(log10(D+1)) + 1))\n",
    "\n",
    "# Étiquettes en puissances de 10 correspondantes\n",
    "labels = [f\"$10^{k}$\" for k in ticks]\n",
    "\n",
    "cbar.set_ticks(ticks)\n",
    "cbar.set_ticklabels(labels)\n",
    "\n",
    "ax.set_axis_off()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39a2a00c",
   "metadata": {},
   "source": [
    "4. Récupérer dans une liste nommée `G` les centres de gravité démographiques (barycentres des\n",
    "centres des communes, pondérés par leur population) des départements de France métropolitaine\n",
    "(`dep_code` strictement inférieur à `'96'` : c'est une chaîne de caractères)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "5e1f8ed4",
   "metadata": {
    "tags": [
     "corrige"
    ]
   },
   "outputs": [],
   "source": [
    "G=db.liste(\"\"\"\n",
    "SELECT SUM(longitude_centre*population)/SUM(population),\n",
    "    SUM(latitude_centre*population)/SUM(population)\n",
    "FROM communes\n",
    "WHERE dep_code<'96'\n",
    "GROUP BY dep_code\n",
    "\"\"\")\n",
    "\n",
    "xG=[t[0] for t in G]\n",
    "yG=[t[1] for t in G]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51f0b491",
   "metadata": {},
   "source": [
    "Une fois `G` calculée, extraire les longitudes dans `xG` et les latitudes dans `yG`, puis exécuter la cellule suivante pour ajouter ces points à la carte."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "082c0a6c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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auUiG0aqGYDhRUJwDMmPr2gR21U0a9AeTBoE9OuyRRih0+eWXy28CA2+44Qb5e25uTsYM/eceaRYEAoGdt2YyYURvGIb1dJYfiRgM+3qeB7O8rIFBPAazbQPsoWk3Nyg1QyCjmYNJJGAfOArbaAL78vCuHASoM9BsKRuh78CJ+GfgYAxM1NPP3qrVh8EXj8HLhOElQ7C1FuKbE0I41FhqdMiNQNphBya0ReUfqJ6o4uQdyja4eWMS0QuSMpGApTtgP/ZhGN7dHIt88luA1Ajska8D33m3fsZz/gze5NljMgsssB+lPZKkhHft2iXgvz/8wz+U39FoVMYJOTnwnOc8B49ECwKBwM5vSydgmLFzEoABwdxM97mBIXX6jQZMX0JbAGwF+M7Zt8EsTKMOezkde1PR/V4YcMUDu1qSGAKJEFBoozFdQeSaXEdpkEJD4rQPF+X/sakEYhtiyH97FeFrc2jcVxAtBBwqy3uijlMgHg0hEjNo1CxMOgTDNkSrhdDc7dLikKAjFoL91u8JvXFrsYZQ2vUtv/R6tHb9OkLX/vRP7FAHFtijwd7//vfjne98J8plnToisVA8Hscb3vAG/OzPKjbngx/8IJ7//OeL8yc2IBKJ4GMf+5iMCT4SLQgEAjt/LRGHuWyP/Gnvvl/Z+3qNY4PhsIwGYmhQs/y1VdUfKBYUI2A8mHoTmJyUYADTrBycburxWREgi6FNhLD2yXlEtsQRTYUQJtI/anREkJWJQluCiOxzhwHqHlw/gMZyHc2b14ByU8mNnI1elUBoLI7IRVlgpQaQc4CBSrEh44+WbY9mE43jJRQ/v4DcL7qWQLsN+ze/i5Y18C6+CAglYJJdlHNggZ0r9pNuDTz96U/HhRde+KDHN2/e3Pl706ZNQiB0+PBh1Go17Ny580HgwUeSBYFAYOevtXtEfEgelM3Btlsw0QhQKCgOgEanz1I+uQSkJWCBaFTbCQwKBvv1Nx3w+LgGC01SCjdUtZCfQYIiZ7EbhtH43DzSz53oPGaPFGE4ZjhbUWEiOvQydQsohewhMhpH+Llx2HxD1BCl6hDxkCQgsdKUzX/w/lm0povwkmGEh2OIZ8NofHFeQIyGoMJwCPaud8EW+0Ua2V79tiAYCOycs590IDA2NrZuNPB72bZt23AuWBAIBHb+mtczHkS0/6GTwHAa6ETuFlhb0yCAj9Hb1l3wwCDAHwWKRGDnZ2FINCBpPXGC/AwDsBRYLaz/XmsRv7pv/WPjcf3Mi3MibCRG0SJWEGotAR8ylKAD1z/YfnBiR/KZBhiOwy5U3cQCRxja8EQ10WEUkh77CsKKyGDAe9YksJYHphdhNw49ovqsgQUW2E/OgkAgsPPSbP4EsHYc1j4GuOn9AB1nOq6Z8eySsgxGQjD9KaUQjhMj0HKO3mgFIJEABkf1//n9sATz8X07NumXlIowtTpsJgnMufFDOnvSDgxGhc5YPo+9/V5+IYIJ42GgPwaUGzDzDSDL8UQ68hBQaej7SILE7eboIt9DLCG3hZ915TWwN90KeC2gQNAhEL5hFOFt/TKiiERSKh7WawALReDS1wfVgMDOSXukTQ2cixYEAoGdn0HAJ14BpKM6m3+U1KIecOUG2JYb/aOzpKMmiRABg6wI8Ic4ALYMRsf1w9pNAQaaVAwYGYQ9cUoedjhAWGID0glYAg1ZdaDFwjCkL3aZv6WCEfv+ISOP8z2dVsJiTTkOvGj3sZWGAyIaDQTo/CmcxMAgFYaZ2g0zMQ6McQYyrN9DUGKKrz3tYBD38KTXwxt9ePSmdl6Z0syIC34CC+wnbH6B7GG/3/4ot+bctCAQCOz8s8qCAunoBBkIyAB+22ECHmJV4Ot6jdWAXps7IaRD+pwFjp0AkgTfxTRbr1R1oWI2b3o0DGhkFpQ2AysQYaDRUl4DuMeqbZk4sMUGDKsCviaCYxkUUOBESj+z2dTXmA1AaUAJkqQU4Dk8gwVWy7CUP45RH8HK55j4w2NQax+5BfadvyF/m1/7S3g7rn5YnxNYYIGdXQsCgcDOO7Oz9+msP22xChCk1xeDSepjtpXReiHFhFaq6kDXqjBDaYBAwnIJOHZIpwZCEaBRU/wA8QQss2cTwMRYN2hI1oH8mjpjn6aYzjnWVqfOqQTJ9o0EAYYVAPbyQx7axAn0hWA2pNy4YwQgv4BvdPbLTuecgQbt4JdhiylpAUhYkyGwkeqHTl6Zf2/Q8UUzOAws/ztsehQmNfWDHb+Vadjl+4Gb3wHsUi4E+6nfhn3l/wuIigL7iZtnrPw87PfjtNbceWhBIBDYeWP25FG07/sKcOd7YbZnAVL5spzO/nqlKfTAQvFbKum6wOyb/XXfonElFQqFYIs1IGRhIlUVJLJt2ILO+bPnb9fWtArPSYO5eQ0Icn3aSkiltfoQrwPlqlYjuH0MCny2Q2feDRvRvm/e7YBbrcZiqoVApkMGEBJMEJPQUBbDpoVhq4AAQ1YKiG2guczfDIa66x6/P5YC5j8CO/lrMJHB7x8EvOcl0sbApqx+P83nJwgssJ+wsch2Rq0BPHQh8HyyIBAI7LwJAlr//VnAhji8yRhwsqRP0JFRCZCMfBTzISBP3kAQnwPzcaXIpWDZw0dIBIdYgm9/4ziwKQkzmhWyIXG6w0mhGO447eUlzfj73ZQAQXp+ayFKDYEksLqiwEEGJsziE2EYYSBSM1v6gEIFKDmtAWoYx1wQwBWQXAMDKd12Vhp8HSI+H2JlISxtg25LwgKHF4CBGGyjDlNYBjZNAbVF4PsFAuUZDQIGYkCpDmwc0pbGxp8JqgGBBXaOWhAIBHZeWPuOj+kfvvM83ehM6xQYAizviqLLov3XlmuA7yNLZXXmUtXnqJ7y/GN5RV/eH4MhYQ+DAz7OMn+dmTcrCs4qFa0K8KeqI4lmw7ACE2lLCwpW5PP8fV8e2KhleLG1hgQDAnjkl4Q9GMECuFFH34hdYMBBCKLQHlMG2VEfO+yDQCQKa0CYogbfx5pu+kG3WDkXuH8bn/D93xtYYD8Gc021M3r/+W5BIBDYo97szO0whS9LYi7yvRdntSVQcEC7gbiyDPLFxbJk/XbziDrVxUV1lcdLQP4U7NSwGyMEzBQ5B6TDqN50tQ6bdDLFsSjMQo/TJPyAo4TLRZ1KGMooayE1CggY5GuWV4Bxhy0wHmytDlNlcMKxRAtMV4A9bGk0dUpANsJ9PrNytNWpx6KwqxUgHhI2w05gUGsAe1f071RYNBZMLQ9c/d+ALY+DiY9+32MpuIMnXyNYBzN9FBgcA7a+CiYRsBIGdjZbAw+/tm9+pFtzbloQCAT2qDVLBT4R6TkF0x+F97JtsPkakIkAy+znezAjyfVLQTgCOzosfxoC/OIxWGbQ/W7enz11v+wPi4MnC8jPVZCpNTHFcrmJambusxL6r+Q0wGoVKNVgNw7DxB2Aj4RDK3nnzClGRABhE7Zeg6E6YTKtpD9XDitRUNzApvialnAMSFWAGIVjS7D83o1DsLYJk4zAuoDFrhVdy0CrB5aByN48MJUB4h7MwMXfMwjwj6OsuF/7c20N8POId+BjcT1egQV2zmIEznMLAoHAznmz+ZPym3K7jcNHgJl7EPIWgfs/oi+44bX6fH8UYKbPfnl/DbjNOTh6S7IEsm2QTcFUK5qt00lnIzCkE95CQCExBFHg2DHJvA+cKmP3677d2Y69v3cVdg0N6+efmocl9oATg1GjGQvpgOn8+9L6Bk4aEHiY7ANWlmEYk5CnoJe4iEYBo2YVGElLUGJqNVhOOzCg8UIwwznYLCsLbZhEVMv/YwNaeVjJw2QJICTdcQv2wmGYQh12Ig3DHj8DhdK0thqqy7rf6c1Ao6DvqZRgv/J/tT1x3f/U38sVPWqDcZjJX5Ztto1TMKkuZXJggQV27lgQCAR2zpotz8Ie+zrMLe8RB9vc9ksovuNPkb2amW5Imfloc/cqYj6VEedoCQQgAdDFo7CLnKdvwwxSrY8gvYewQl4dczojGgOW4iL7j6KwUFn/sjtWgcuGhftfAH18D511rxAAyYT8v4sF2JUq7McOaw//ly5WljNWEwotYKyviyNIR2DCDgU4GANWHDmR+zATC3cnGyJUTCSw0AID/RrgMJgpFmDIWMgRxXxFsRCRCMzyvwHHi93AY2gcIIBQRh0BMzkIFPPA3nfB9hY6Lv81BUJ+4zdkX+0T3hUEA4H9xC2oCJy5BYFAYI94s6VTsAsnYbw0bOEoYJeAVhlY+hpQr2uWTTK+g+9H9nF9OlrnuPnF5r8MGw7BZPuAWASm3/X/40uwWzYAeTrkJWCtLERA4tSKJZhsVl/ntwL4m7TBy8syLpeprCcWStcsWp8+CW9AHbbdmtQSutD+EqDnAbUmcHwWyBD4R7RhC5hMyIQCxxaR6tOKwkQONhyDoeAR/386D+rmAW0l0OlXinoMWB1I+mBA0iCz0lEXAKLugQesVGBYGWA5lVMEAjDUkUiMuPaAG05YZwxCqLNAbANHJ0l2dMffwY4MwHBEktveXB8YBRbYOcMjcJ5bEAgE9og1e+SLwMo+2IOfg71xBpYjc5f1INv7ozCDA+LkUXcI/SrR+hZmlNoAbWChBgwku2N0cs+3gHnXFmDfPZOCXVqUvrs9saRjdqN9sJWytAJ0Fr/tBIjI7KfcAlMjSez7b5eiUG8hYYCRvVWs3V9E//U5DRr2c0SxBHv9MAzfL4JBJPlpq3ogPJElNk/uSgNLi4Jyxfx/LALM1wT139i/AETKiAxEgf440NcnDl12yB9HXG0BKbY4XNQwM6/bMT4C5Mva2mBwQGxELgkkU/pebhsrBr5xciEyCnvgIDA2ottcasKsrAHDYWBrDvZEHlgqwSyXYHdP6PaGe6YaAgsssHPGgkAgsEecDoA9eQ+wdB/M/FfkMeNZ2BwZ/U6n+rWCxBdKXmbaBNCxJE8jux8z3XoF2LsM7PZn/3qi/3AYhmN9rLLHokCEPXM3Wkfz6KizroxfBOJxdZpVZfJrDccxtUkZ/1onS/AuzqHw1SWYHWlYqv4dLonzN+T4p63UgFxCEf7EH9AJM9jwjeJG5BVgoCFTCCtAKgosFrH0gZMStAz+4iQiG4Zhpue67yMj4vAQTC4EHJkGEqp7IEHAUL/KId8xo2JFP7VdJg6EP0AmDThB4KSVfWvUlNxoYAC4e68+drwGO0rWQ1YnDHDnCjDlxiYPzgNPfx28ACMQ2FmwYHzwzC0IBAJ7xFh7+hbg0/9H+98TSaAvqs6+0oS5kBl6E5alfdLsNhswBOMt54EUM1Ey/XlCdGM4LTfnpH+3s68f0jb9whzAZH7PMDDALHm5892S9efSsHT2LKuzVJ9xoD55gfOV4TAss2drEYqzf69Ph3K6rdmnD+v30YFvJ5rewpimlu5Zhi9SWliLkUawAFVRPUQmC9QqAs7DyAQQSwAnjjiRI4PoliQGf3mzfll+VX+zEkKnnEnBkLCoUFQKZAZEJCCa2g2sznVJkbhfmT7ANGDSWW0HMHAS4SQjbRaxCPUHorB8nL/5eaMeDF97wo1EFpvAHe5vVmnuehds3xgQ7wdCMZjYyI/9egksMP/ePJOpgcCCQCCwR4C1D9wEFBZgv/wnMMzIyZ8vgjnrzYxTA0CJc2ydjIAOzGabsAwOKCBE0R1m4w7oJs9zlWAZvFiWbN4ePgDTGwIzY+b3ZrNKBFQpwzBj7x0BZF+dgcfxOWA03a0a1AkM9LVQe3ITthxI9iM7GAHyJZiJLmuf5RjiWkFH/EIh+d4OFoG4h1gCxv2fY4SDL9nQ3RZ+VzamGXtn+xyOYONYt7rQKEmFwVQqsE/YrYyI6RgQzen0A23hlFY6dKu6n0cBo0YVmNqkMdD9R7W94MMiGASRi4Hnif1ZBhH73q7HgDwG238DJrvnB7sAAgsssLNqQUUgsLNidvE4bGkOmHsA+OBf6INjUUeUQ2a9Kiyz54yrCgwkYZgBi52mEkhflIrCDvTBVMqwzTrgl+OpAEgnu7giGbRlG6GcF6ffMf5dq2qfnA6Qc/wEG9IR04murShg72QZ2DkBNCrqHEfSSrMr43ROErif2ITW+iCCwctp+28I9IvycTrUugIJV4v6JMGON+6DHQ/B49QB979z4KwGHnGfR9gZxY9QXf86BkDcjlxOJw5EVrmqgQ9BiawICOsgpw3ciOHKIkCw4+kKixP9QMTKeXlgrozCXBnZXRlMDcfV+Z8qwZaPSVXGTA7D3v0nwI5XAn1TAdlQYD9WC6YGztyCQOBRaCSAoZM1nE8XAJe6IZN+ZMx522O3wP7TbzlQXpd2V0r+fo+fmaaM4Cl9rpTB/ffnS455TwltZCSOGX2xqsJB1ACiA43HYET6V52yZbmcH8PX0tHJWF5GnSZL8XSQiQRs/yBMKa9ZdpyIfgej39wPQ7Ihvq7I+fwsMAzYsTpwbE76+YZjeyQLIsCOr2MW3WoJwQ/H99yeqkhRpaX4AW4Lj0VfWvbNnloFUk2YOkF6DcU/DGXV4ZL5kCtfuKnbzgO0uqrqhrRmQ1oXolVgQrCsAvSNA/NH9RgwIOjTsr0prQCzM8DGzfrZlEweGQcYSPH98RRQUwyDyWREi+GBU0Xs+f1bOudi/59dj6mBOOxyFe28AhW9DVQ6rMLe9zd67Df8DJCbAjJjMInvz14YWGA/jJGj48yYBe15f8CDQOBcI85ploFwUshzHsra+z8HfPNtQLsFmwqLAzVRD5aKeFOvhnfps3G298F+9Q3AWEIT+95UOeScP4OAcQXhCUuf9OwbyvonDH2u7B9y7y83YFmmJn3wKJkA6dSM0uGGYpT1U2dPh8qWAifmvJL2Fcn/71PwEqhHAKFIFBOBnwK8CMzINlj235fVmYrD5ASCW0Ckn75rk5TghSZYHnSNS7YrhEHQTQX4z8lURBG4ZBymXYU9sSzbLJoHpBWmY6YKYSoOHM/DlpVNkG0CwRcwCGB2zyyf208qZGFA7OvAGWTiwekJyPfxn0MLwOU6CSCPbNvuxhv9/oZrM5TLWmVg4ECsACsHW7ai6CshOitQKIlGuAQ1B+QanIO3OQcsFrQKM/Me3Y7No7BbXwD074Tpu+BHeVkFFlhgZ2BBIHAuBQH//sru/5/7D+oEGmW0WfZOj8GU9sLc+Q7YmIERyVuX9UqZu4X2d/4U7dggvN3XnL0daTjBHpl7d05+Txq2btXps2ROMiAf/cOyuIzaUainhtaxosywCzjvSEmUA+0u8vaHdDJgteTm/ZuwpgYsFLuqe6wOTG1RnvzlRdh6Sz7TUAa4l8mPpfpkErZUgVk6CRudVyKg3nJ/mTP/GSAUh+VkAoMXOmR+DnEDAznnkB0Z0UOYecyIwxYk9D0sgBQbQDYOE1Jwoak3YIdiaH7mGFBpI/KSjbo/7N+TspgVC14H/newLdFowBAUyIkEPl5Y1CCHjImb+oEquQnqEixKIOR4GNAmkpJshEtALAkMu7HGY/schqIPmYH1I4KZhAuiBpNAQcGGhuevWIOZ0vdbBiyzK3p8l78oP3bbq4NgILAfiTFm9tWwH9b7EVgQCJyjZtdmgI/9L/mb90DpKytIPnkIZjjW7Q33c+a+xwnl60CFIjpnz+wSWfQcwY48YGFJgbvmHDidNTn9HWsfJXkFeZ+MoHm0hJV3H5fH+39hHGGC93yrKuiOcsEgW6DM1zOI8LNcfl9I+v9E3Vtm9EslmYu3wiXgcAKL8y7bd2X2Sh04sqybvG0AZuaEthEIxpPRw7w6fDpggu6Y0feo/9l78ioLfL0CDGW9oviQf464nZQ/FmXANryJnL6RwVK9CctWQ6mB8BMG0fzsHBofnkbkeRPKlEjj83Nu+oH6AmyVsCWxxgqDew0tpIyGJBKS7J/TCNxP7rM7D1p5cW0QBjd8DUGFA4Oqhri6gqkNaez/uxtQiGWRiVhM9blpA7YRCkvyVrNlVDkQ5HtD+hljA+uh3av3wsYGfyCho8AC+14WYATO3IJA4BwxtgKkClA4plf+7P1A0hHkWIvIniTMBGly3Z0hlQA6P5d50+YqAFn1zqYtnVQHTeW/UhWYSMCwSsAKM9sCUZed+lgBGkv8jRbapS7lnS21gAvJwkcyHA+20oDHagCf8xgE0Jm1YEYVFGjXSkrAMz0D60v3dj7Mao9dlPrCKgtMUh2WxUmoM+eCFI76MYtec71+Hlc3YmhEI6CpfAS9Do/+9Ykb9aGVogZAHC+Uzytpy4aPcXe5H1QIJLiQAUWppgRJbvwvfEUWGEnCpMI4sGxRaAKZ8gKm0hp4WPIs9GAgdfSQ2IMRDVpCcZhqESgyABrX1xA46bMe/mfmMw/yJ57C1OXjSk4kPAWjMi4oFQ2SMXG7Uyk9vAw4+ga1SrGqAaglMyO/q3kjMPsF2KnfEtGjwAJ7uMZm2Zn0+U2AEQgCgXPKQgb25j9S50flOdbDpPdtEd1Ashv2oiO60PKHM+m0RAr2zmmYtSZM5izLxU4f04AkyvL2Q9y8DAhYZqdTJEOgX3peq8PjewAcrjfgrVSQPeZhqtQGNsadGp5WGWyhKUI/nayURoeaCsksvMnp2J1N54C5FZhRgu5c8aSvX4B6BLuZhRVgyybYy3cA8/NAo6VjfWwL0Ph9qwUNKqIhASoilVZOAiEfagGPmzwt6HABhAAUieFg9aPUGcuzBP5xX1gJEWxBCCacAk6uArm46CccOFXCrld/pvOR+992PabGUrDfmAMmqzBPndKAhmN8xaKSJh26p7vNbBMwaPGN10pCMRkCDkyl9btPHaYCAkx/TqsCNFYMShVgcrcTKSL1cAWm3YRlJYCjkBM79bXH7hOuBgl6KGbE7ybdMVszrFqUisCtb4a95A0wY5d3Nqe9/7vy29t1DZq3fFP+Dl/1uB/2SgsssMB+QAsqAueQ2YNfd31/GZ4/7Ukt/Yv8LDPnEAlxdFbc0qENRYHnvRVmaNPZ2Xj64s9/HPZzn0J0MAIzGAGY1R8sATkq3kV6SvgGdrEGHK0AN4zq/iZDCA1FsPiCYVz7h7cAf6eKg/tefSmm5jxgpKcMvr8Ae0Fm/SGiM6LSn6gLOv4BggG3jatDovH/ZA1ku4IqfyxpZ4dghgg4bKjK3vFl2PF+ZeVjQCBAOwtbrmuAY4qwmRgwEQIyMRiSBDF1p1xwByzonC+3icDAnoBIFAM3aVov9L0caWSWTVXBbQT5AYW19dl7/lQNlgdpcwreRf3AUUefvH2LMiKWDqw/EQwCVhzoL5oA0n3uAmKVogCbIrKRFYxlDVroxH2TlgK9dUuDAu6SFwUGx+ENKeGRwBVaDaDPBVh+9YCVDh4Dgi0F/Kmfaz//Otin/rFMudg7vwB7zz/LplS/dBXq//RJoWNOvPGPEX76zz2Mqy6wR7sFrYEztyAQOEfMLk0DX/gbYJvL3GSEDMCio9gVhHoL7ZMl4I5lYZgzP79bX8oMj2h240bMzoLVDx3B8V9+rTihjc/OwZuvIjIQ07K/1pE7JEJmra44gVIL9stzAiY0nFc3BmWW/XuswGkBWrkJiyqa+4vdOKnUgG2vqYgOqyXsn0sm7Mh06MjoaInA57if8A2Qn99J/zIrP7oP2LK7UzoXKWM6VxrHBNNpWH4OHbrbDXvPCnD7MnDZIMxEHzC9KPLGlO6zJ4oycoiaou3b1dZ6sBL3u2eYwtBZstqwKecY1AwyWeeonWU2J2DGGOC0gJWSAi65P4sLMEuuHTHkWBIHxzSwYoBC47TBSANg1i/XGUmInPASGR2j7rjQiYfI6eBUCqtspRCH4qZXmlXBXUg1qrIGVPM9O0EKaFaBKJtM3YaWihT5logA3/3/tAVyrKCgUZ6l1i1o9IWQ4PTEu9+Mdn8EyI3KOKQZ3bR+XHbhPqC8DCSGhN3Q23jVD3mFBnauWhAInLkFgcA5ZU5RjlkzF3sunJSkJd2rexpEm1+RU8GbXpR7rh9o9Sy+Z237gZM3riE+HMbE05IwVw92/EX7ZEHZ6uizYx4s2x3MhimQQ8ccbiBzGjVPxrULpE3SaKM+W4VpG8THa7BRivc4p0/Hy2PXi+BfXdbM1PNgFwuwXz4B88QhecoeXwG2DmivXh7wa/c9X86pAxrn9pMx2AmOP4ZhNjtcwhJJisLA5ICbzXfnb7kGzKojrh+uoDVTQ+KZw/BYyWHAcvcC7DU7YNZqwLBKAEsm7Va8qX6L/e97JgqVJjKZBHYkCf7rKfVv3Qksn4AhXmFiADi1LHoF2LwB6M/qNIFPvCj4hFZ31+6bBfbOwTx5N8zkGCzR/sdmgZF+YDAD9OvxEeKhbJcpEWFWZBQNaVIDsNE0sHRE21jHTqrz3+qmEE63gbQAJoUx0ieUorqhFBs8GaM0fRHYL/wxcKIG64XgvemjAIOU+XuBb/45kGbFhdUHF2Dt+TkguwUmxAmOSZiRx3yfazOwwM5fCwKBc8TM4EbgJW+DveWNkvmLOyRJzc6nwh76opZqCY7jAsonrxrWcTGCuAhooxNpzMIW9sFktFLwk7To9q3Y8KF/wPQLfhHtUhu1KLPU9ex4ZiwLHGOmSZbBOLytfcDmSTfe1hZI0FS1hX2/dKFUAhgETI0nABIKuRHDWqGN/m3k6a8CmbDqFfhejs6Sr/NjCRn1Y6k7AnA6gFnwjbMKZLwoK9ULyyz2nru1vM0t4Hf5b4+HYaoVmGRaMmr52HIZtupeS7rjUlkxA76xz0/GRP8zmm3BNIgv9gGSrlqAPgoTtbRNwf/TmfKzI1FMkWeBrQu2O+Ypy2w1YKJOAUcH107pZxDgt5HtFU8llrm/JBFKp3sCqBqwNKfYh0tzsPeudM/JxJCW8mW7ikDYHc/coI4ZFiiM1A9kh9djIWprbgokDEw5jQRfy4DbRElofl+rqQRJfB2DHdcWIXcCgwHDdseVfWgt1+FxtFJilxba938Z5o73wowmle6Y05ccX2SgFfFgb/6w3h99USGVso95NTB8GUzSgSQDe9RYIEN85hYEAueSDU0qm13RjQBm00DhFphhCskYpcNltYAlcGayjQZsPKFoeQLEVm4DVm+H3f0/z0owkHrS47HlE3+J9qm9MK0qbJrgve90nic3v71wXLdfgpjT1AZp/VFMUYaXRiBhLg4rXtTgyIeWUNhfR2IoiliWxDx0nO4zhIWHGXkbdmVVfRZV+uSLAYzn4D1b/9/+8EFB5yNfA46sAVl3m6zUlKSJjp3tmHSi87GC9peWhGay4twyKXV6BMZl+zXjXpnTEjgJgtoW7ZMOr0AyIbIs0jH3x2GKKzrrRw4I2X62SljlYdXB7ZMfR7F9kIoB26Z0Y+aOaZDANggdbodfgD19q9fCmhMuEtwCq0tOc4F29Tb9zRFJ/nTPkB7Kio4cGgYIpQLAQIikQzS2D2TbYjpmKZUQZzKJwZ+wPs6WDLeD28b2is/DwG0aYhBkkbhiO3BoWva78O0VZK7sgwkbmFvfq1iF043B3FoDOOAmSDbEgN39MPe9WwIae/3bg2DgUWZBa+DMLQgEzjVLxIENQ+JM1mWaRG9HmDk6FT4adedXVt18u1uguQhX5mBjQ7D5Gck4TZjOyInnJLfBpH48WVP71k8j+u0/0f9sTMF+ah7toSjMpf0q0EPEvXst9QJMuQYcnJb9EY2A5YoA9+xjBzVrH4or7o7MgsRH0HfV2zj4qTzGd4UkkU31RRCKcYKAc/8tWGbG7O1zokCQ+0mpEhg/W+XnPZFNfMoNt9T39cdkYkBkhP0RRrZmuA10PBvpfDWLthtyOHD3IopRg0w8jKkJJ9W7TKpeq86YOAAnqRzuD8GbzEKgD/kmcOU2oLSi55eB3NIaMJiFWVp0fXsL44sikg75tmOCC7DXblWOhN7RRb9dwPYHhYzyeRhWEJjV+8+x+hCqwIyNd1QNTX9ar6ckeShY5VjVFkK1AstMf98R3dddm/V8SbWJwMkQbIvXEnENaa20EDRYKziwIEcQueQwwHHfTxVICh8Rx0KBJNlelvMBW6+pZPP2jQjnlpF6moGhtgNBpgQt5iKwc2W06i14Sw2AIFRWB05XduB3rzm5Z2IJNgdVgcAC67UgEDiHjOQrduIXYO/6CxmHw4jL9sgON75V/957ty7MuRwwM6dguM1bAArnwGV94TjsPW8E7n1As6RLd8PQWczNKGJ/y4uA+GblmImHYMuL2rs3OcnCzMAETG7jD7Xt7X03ofWnr0fo8r4uDwABgLwCmeWyl7y8rOh3Ov6VslAji+pf0y38B/OwJ0LAZEKrAb5FQlIBmfqNSez/vcOozzcQvziN+LYEQsRQyAx/A1iuAh777k4SeClPoIBmouOu980jEAvBUkhoKA4M/Cfz9Xy/bLdVMKD4H4MDx9aw+3e+3XnZ/nf+FLazRM22DbeZ+3nCAfW46+NZRJ67Sbdx7xxQXFURI7YMmNluDQPzS7BsU6w1YL+9itCvXua2IazZdIIOMAKsKqFPhxSI2T8DCDpwfm+jDZumqmHNATQd1wKPO9sLu3fDLM8C0ye0kuAHAnJQfKEn174QHoQ8MLEFSA8CzRqQcGqIPFfO0Vtpu5QVpEkmRj9QYaDROX9kN+yhX2ZQwHaIz4ZIrEPEQ2g8Dpwg/THxHkC7P4nGJ6mr0YIZiSKcbyG0KwWTCsFey2AOMElPqKY7Exu3vwN2cA9M+qEpugM796xH8/Nhv/98tyAQONcsMwWcKgvwXRxkNgkz6jIc4gQ2OmGhmRktDQsvfkhR4RS9mXy+oObNzDQwnIJtR/yCrwPSWeDe92up+3gJdmtG+fLZcmDwUayrO7j8xbDeJNori/C2XYDQZdf9p9MOdvputD71RyoR7D9OjN5Fma6wUJW9cAIhu1S5bXLrc9aeG+iL4TFLJwkP2wakJWa27wP6AAzvCMNs8ZBk22Fepw8sqw5JBhXu8zNJyTStcONbeY04Czqn+RU3osnPdUEAN4n96e05ff88s9/TdlSnHlEgyLDH1k4WgUUHxru8H6bRghkIw/YxO44i8vRLgYVZPfbbctrP9gmVNma1XcIewN6T4gDNahWtd98JMxKDubgPGIsBfX09VNQ1F3R4wLheF/bUSWC2qEHIXAl2Y5+M5MkXZaIaJJDJ8c57YS+9ACbMKkHP0hDPqqOn7kKoBHvBNgks5ZiZll5nQk/sjCMbfD334dg+mAHKHjMYciyG1C3wsQY8uENsB3lAfqHTvhEmQ58Do1UXymL5vHgIjZxB+UtLaH1lGYmEQavRRmN/CaFkCKktSYT62HLyKzcJ1ZiQv92FNH8fEAQCjxoLRIfO3IJA4FwEDT7nrbDf/F39v5AHnsYpIIpvj4c98XUY9mKntZSLHS+FmXgm7PHPO8a5nPayufCeOKWMeiNDwACFbk7CXOZYCNNtHSvj5KKbnMP+f0Pry4uSjdEFRF76K/Auvg4YnEBo4xbYk0fRuvVG4Kb3wGu0FMv3jA1Shm9/exYeRYfoHxuOsY/fyczeJ/dZJh9+C3a1LhmeOOUtKRkxFDT+Qh0YJz4gjNahIorfXEUo5aF/x/rROnEexyuwFw/AkIkxmYDxiYYWyx0cgh1qSFZtGSQcXerpP7OtwH57TQFtNG5Ln+IU7ExRk2WX6WbIs99jKaLYSY5UbaG1L48IwYsEwfFJthQaTZjhUdhDR1WJkMbKQdyD2TapvAZskUTDMOkY7LUh4Row2wdhpAxPfMOYjOdZtghuPAyQZvpSzYjFKMIk2+W2bb4Im41rYMAT42s58DIqrGkbhZWkwrICAbmDqWEt8zfKMKQ3LrPPzzZHE2g4pkXKSgsXs0QyevQ2TekoId/bOSfUOIh2g1ef1ZDXIdtYNAavrAaRvIgB4i2Lug+X9MO7ZwWtQkNOQ2W1iVDUQygRQvrSjFRbbDasegeyT6RE8sWpmipE9Y0/EXpjb8MVD32TBRbYeWZBIHAOmtl4JfCc9+rCywX71HuA8orOhNPxM7PNtWHGJ2DvPwz0uymDm98LO3g1EO7hoZWZ8Bqw7Dz8UcrSjroeckwrAYWqyvmC/eWalsPpYCluVAZi1+XQ/NI/ofah94oKYOK3/gvan/0wvAGyHPag9KXsHobZ6TP5EVXuqT4AF/vecUc6p7aBGY3DtBxpD0vOmTjMZBoYbMDOVoHBOGwkhNZsDd5oT7l5NIL2ItsBDXhPn5TSPQmCrCVdcRM4uaJBgOMuwPIaMDrgpImp2EgefhckEORG4wQGgwc6UL6OlYhDZeAC3R97rIipDUnc++pLMf/5BaRDHsa+sobanqSIJEWuGNT9PKzCSfI5S9Q2CInzFdQ7hYRqdWDbsGbR1ZocM7vHgSiFSbKuo4HNOJDKAv2k/C0C0/fC/NSoKv3JOV1SJ8hee49VD5cQ5wSAb1cOKMI+G4WpF4CqjmJiD3UAek4ey/zpUR03ZGVmdR6YOwVs2NjFoDj5Y38kUfUfNgL1MlB0JEa9OAa2EHgsQykCOjTg6jG7fwG4fxEm2Q2wQgNR9D9/DOZgdx9KxytSxZFPnq8Cm1Ld9gmP4xzbQAaWPBAMiD7322jf8Efwtl794BsssHPKArDgmVsQCJyjZjIbgMwG2OIp7emyx0pAWybhAFrsh3vA1jEYzssLzasBlu6CpdOgcyfB0MQGdTy9RkY5Oiya31v1jZk7e+2LdYR2EBCmJddwXwThrSy5e/CqX0LoBs1I7WBOnayg6OPSzhD6XxlzpIN3nxuLwAwM6Iy7INLJaMds1ZHjFMj/77gTpI8ckQDHHi2heVgR4q3FBor3F5DYk4Z32DH6yXsbMH1R2BKVD4lKdxK8RJ9PKPLOEnC4uKSAQM6yd7QaWN8v6Yga2yVl1/v+1qyoAXZ627RNKdiFGqZONTCe7DId8riEOc7JryXA0I93RtkqqIElFZPtg80agEWYfSd0LHBpDYZkO5EYjDAuOowH8R88v8L/b7pOmm2U3u3xpwt4DDMRLH7oJKr7SoL3mHxuFxMhs/+DqW5/Y+NmR7TkAkYGl7U8EKUss1GhoNQoLO4Gyo6kis4/7vgSqIzIYDHK7N5tX5RjfhkNCAjMbK7o9AJt8BJg9YC7Htz2c6JAOB6WtS3DQIDBx92raIYsQqzu9Bovi0kV3JJqAJ0/v5oCVBz5FAKu0/o57/st2F//Z5jhs8e2GdiZmwh4non6oA3OQhAInOvGqkC+pGNsXPkYCMCVeFusBFCAiKCypogU2Xv+DjjsEO5Ey6+uadbUFxMnadlPdYRF9iBH2DhL3iM9y+ycDlk+gL1gOhq3eNN5904y0Bp1FfXgnepnpgNJWGbW6aSOvdWasImYyvz6PPjchrWikMmIicPjiGRT6YipGeD6/5FyC5FUEa1qW4IBVhHahwoI+ZnnQtWxMJa728fyt1+K5ycnIoJRMONZZcDj7oXjMPEojIAoCXBkRcAFTQTyka+gdwViEHFPXkrV6e0JYJjBSgQh8hn02mRSZv6Z5RIEKCdvtQL0+cfZALefkqDBXrsRZiDbzaLpIH3lQL6RlYGZQ3r2N47Dlkqw9ToMeQ/yJXXDPK9hg6GXbMDsu47KeatvzSFKpj4CDSNNZRPksRm7Bog60KEvRsSfVgWgloIEd5fARHieOI3AiYC2A/y5McB7blayoak9+jnVFSBGoCmZCQsKMqQV88DOGwB+FsWPOHkgrYa6ikAJj0EGeMklGqScWIA9sgav0JLKU+/aX11uIsXzyQezMYASyDw2e4/KeTa8vv1jwf3gZcVghdoKvKyPH0Hr5Am05uaEzCp2+RUwo47/ILBHN0bABJFAEAic65YcgWU2xhJrz8p44PgqCvMFZIYzSj7jZr/XzYUzO14g4t0RujBjavOzGup4LyDYzMIe5+haW5HyPhmdkNwYHFiuYn7fGkZ292HnhhRw16qi3fn+C/vVITG7VI+0ftvbDRg6dvZtfQZABgPkruc+ESfgzOQysFm2KYhAb4sgEQMPs7Ef4e2DSK7U0R6JwUuHEUp4sBdkVZ1Rst0IcMhlrn0ET6qoj0wl9BwLU6IQDmf+47AMeAjIJG6B+8w2Anf80pxMKNjlGeBgGeYCcjnUYElgxMkEV7EQ579dy9P27gLs3hK8nybCnmOfHF8kCFDlgeX41wzwRTp0Ygc4rRDX1gV1IvJ5ZfYbGtHjw4CKrRJuz+qKluXDYRiC+ZgJ8/E6z6MucEIRTM8XMhj/H8oRYLmfc2uC0bDbcxqEUXCpRZlnV1bvHv1uH5+/KTDESZK5/er8BzY72WQ6+BgQTwOXPB6ouoCCQUDDUQ6zatX5WGb5M0CFipRsOTHQIs5A6JikrWQ2DOuY5AzbECUd9WTLx2sAo1E0j1awfGcB7YrF3N9PY+hXNsplash8COCB2SIKhSqyExmRUJZjPV0CVnmu2mgf2ge0Yyi+5Jlo1ZpYPKb30can9CP2O38D78Jrv+ftZ5fu0l0ZvPR7vi6wwB7JFgQCj4YWwZW/Adz5Ds0aC0U8MFPB7v/+5c5rqB8/xVE9vp4ArJGELMjMqAXUJf1/93kXXQ4sHoOdnnXO2yjDHXu1fDmz2ENlmFILB4o17PnnvfrGLwP7/vBaTNG50u/IDD6JbpLAlh36mtVlWM6qn1hUjAEr/Vzs6YSLFSCZUvEeoRgOASODAGVz/W0j0t8RJnXKvNOrsBv74V3ej8NzZRTyVWSKBlOjCYDkPzS/zUHz/yTKkpWQ4athD30DqFFkyNNjUW2o88+XgIUlWI7m+XP3ZcBmPZgbxmEPr8ISR2AtGqdqiLB94FM/d77HYSRqKrZj0gn9XtIS8zs4yUHAHJUiNyWBgQTMgHPEY3GAc/N09ONuGoTGwIBlfzIF+tk1gwSW5dku8CsreRdIMThYLEtVwPhkTPxyBhv8TeIjvoef289rwX0/P4/OOvckoHyblt1Z4q8vwpaXgAE3rbJwRPd5YAzIDAMXXAXjhWHjjoK4xKmItoL/ijXYzx2QoNK84uUwdrm7Xz2KiGZwGFhe1OmB0XERe1KyIW5eCOhjFSsMz1SRGtAgMnJ5Wjokvh04WcTu//2Nzv/3vfMGTK0Rg8Fjp5iX8tt+F5Fn/gLSm6OoF0MAAwG5Ttpo/dWvA//jr6X1ZbLjCtT1L6MiJzFuAk5+TAIYu+lngIknwKR6zlNgPzELRgDPzIJA4NFgIxd1S8dtiwIlinuswLE/1xb3sQLthQZCw07HntkcS+0siVcK6rBGcs6BMvtu6sy/+DcP9tgSzEQcBX/Uz1n+3lXgSU7mmKqC5I5vaGYnRnKYalnbEOz7UiOB5VwK8tDJLywDd7qMcEtaAYoEsZHrgCOMq6SkbcNysqDCNkMX23CoDez+/27q/H/fm67GlP+flrvMGTzIWCDn/93E5PxNWiLOt4ALhxTPcLqxolGq6djh7imYu+7TbWQvmgEPKRAOVjH49EEphNjFKkyBo37MWhNSGZDJB9OU1oYNR2D4mTQ6JgYsVCzkvvo9fxqPW18KGD9t5p04AQYP6GklkBiJ56nOTFdxAZ1YpC8Lm87AEFfAsrtUjIootNrIJEKYiq0CXj8Qj8EePgqc2Ktl9SdfDWNbsCf/HYhmYHzMgL9tvaef28PvZ0DD9yyz56/4DqkwieIh+QrygAP52W9/DubqXQ4z0NCxQjctgGRO21tCA13VgIjYjqlBmO3uvK/WYMdjwDGtdglnBLkSVmswg0nRYlh3HxCXIm2vzsCsXN/1j74PkQ0xRAfD2PTEjFz3kYGIVJ3a//AbemuRT+Nlb4bpG9Hqx7d/zwVcjgPh8L/Kj33cO4Ng4FwDC5of5dacmxYEAo8CIzlKe/fLgeMfFbbBTGo9+C/NErnPA9Nso71cQ+PLiwi9yInAEABXasJuI3itqCQuPoI/vAWmdQfAeXaWk+moKBu8O43MwPpRuYzqBWkl+eKcZl3ZBOzaEgznxleWZMTc0snwhyOJ+bqOA45Sna/nw/yxSPIW2Jr234VH3n0n67+sbFSbMIUKCo6H3rcCt5NYAjpEBjmDBL85WeZTJdhyGWZLBoasgQyAoo5yeKhP+8icECAjHh3HrAYHHM8zO7vtDXvzCprlJiKDUYxekYHNN2CX6fQIBIyiMVODuVWz8tDVWZhjq5KV22wC7Zruh7dSEeS/UBNT/IgjkyyfO6VBAQayF99iy8SDLZZgpFdvpZLSrnPKIQGvlFec3ak5HZEbG1YK6sW8tg3k69pAvowDsyXsfkOX2nnfO5+AqVhRHTY/u1zWCshaXlojuPV23d/LLoXZeIF7l7YIUFW9ALHVJdjp22Vqxex0YRhbH1IhUZyIYDEYjIkEM7+H4MJat/UwTnIltj8KwNiEtkCqVZiLNcA08STs/sPuHLVhpl3LS5QaTVeJ8sgq0hRt6r0+GXDl0vqZVOk8WUViKIK2XEsM9tqIkENpQwx2ugJ7qgZMV2EHwvAuysLc97ewUQ+GQahQErRFLKlDVS3fTUxCUBUI7NyyIBB4FFj7xK3Ad/5OM9xsAlMxYN8fX4cCLDK5hNDcEvEuxDF0upWWAtVWXcBA8J+IzxCk13ILHB1vC3bxFhinCCftb2sRevyQAOemRhLY+6I94oQz4RCm6FCPloDhKMwwueJZficgrgXkyU7Iz+TsunPmdJgMLmh0vP6YHo0tBgIWfQEe3+gkqaRHND2Jc5yiX4aTCD3GTJcYAXIDSDGE/WVn9mQNrfuKwG15hK/PwTCgSFrY/SeV9EhGCOPASEYz0WVHvZsNoXXbXuHC4XaRzS5CkBwnAdhasAahn9bsvXn3MoguaK86J3mwBHuwLFWJVtJD6db98nD6v21FmEHRmivjM4tlcEBHt2VEsxUZGawqHTQDE/+YlRaknWFnSrBTg8Cppa4YEp0dHTp/n5iTY95K9APRPhR87QRnBV+PIU665ZpWIZ5wqZ6n+OUA7tQgolGBLZHohyV6BidsW4Q1o+dExnJeWyP1Guxd+2Eu3aVBgh/gkUKaEcl/vUZbQgunYOfZgvJ0LJLESJw4oPm6A+L8yXlQ1+9h4DE6iPa3jwrdtPekIcRvXECRY6IMwvizia2vNqYG49j3j09HodJCJtTCFJ29f80v69giiZdCxGQ4yme9Lq2wQJqdKbQLTYQuzuo+zFDK28CyOiatLTeuyPuG+ApKI5e/AVsehokOAWGVdg7sx2sBWPDMLQgEHg3GxVPG4ohcJ+ughx0k7CGwaiCpAUK+ruC5qAcvF0P02UkprXbliw0MR/f4WVzcqR9Ppy04At/U2YrGAef3GQxcR674iir9cWEcdgC5pkN1LyzATL0EuOingLmvActfEwChXe4l7dGeLAMOe9VGyUQFyCe9XCLBDTBTAURpMKa6BCytswzObW5aAYLtf+cTkG9aZGIhTJG4h+N0vgkLHtsUgLenD63VBsLbk922hZDr+ODBHrninviittiErdRw9DNrZFTA5mf14WDGQyESQuJ4HbtJtON/wnQN4VwYITolEeohloCePwQUW/DIdEibKcNuVEyCGBUEGTixvcPfBFsmXQ9fsmNOYfQYwYwEJTJY8UcraatOH8BZc7GKlXdpFSDxWxetu3wyE6NALqbnry8FS1VI/i36AnfA0qEzy2egQOff4Xtw35UdAI7PyHVjWtzGho5gdgWm3csZYKVhBrMuuHEsjlJlGtRt94mH+LiP7SDGgceAPwvzwqaJXePAEnEDfItF5lpWoDSgNYN01CQnimJqYlAPSamoLTDyCFAGmpgNfy+GEoLNwFxRKlTi7PmmiEHoqgHdjd42A4NRBhT9MQ1oImRo7AOiCRiKLa1+Bpb3Uep6IJQGkpPaOinOwfKaZaBBtsZI8oem6g7swcZb+4zGB01wVINA4NFghk6xi+pXzHVXfEUWwol+naNnCZ4Z5TpxGorhtGDDFZhsQlXt/KfJBPhZHZ8zL74IaFakdCz0suxrCzWvXy4wwNZxFfWZm4ct1WBSHrD/g8DQhcDC14AEWfqsAP+Q8xyinRr2JPvhPhgYlm85MSC9bn5+GNgzApOMqhOquQCGn4GkZqOATEe02ySQCQP5opTOlehOf7ONwGwZCQ+Rx/Zr1YI+Z6GirH5E6fsthl7lwnQEtfk6HnibSvuG0wa5SBO3fq6Ca24/1jmMe192AXa5v9vENJx+e12RA25fFf6B9JMG5Zy1uY3yWncqRZI3ovtM0SE6ndlVKf+DzIcnl9edOkPcAvdRKjptAQAqfbBqC8jx88mLnGPd0Spj318+EYVKA1liBLawH8+RUiPOViYIThwHCODcsgWGfXA6OGEWZC+f9fMeRkIGAhxrHO3nzCXM/kPqvFktkeuLrSaWUapOAGgOZmGu61T7RoFBN8u/PA0cO6LX0ka2Cfg9UoJRKWrrSdDh5evCLtieqyFySUbbAgSd7hrQAMp6glWlToNYMqIsnGyDTfTB9qeAE6s6PcLqEfEsbCWxfcDLhY8R4+F7CTmm7pQeL2nFyr/bBF9DgidOyCQ1CJjeC3ha9UE8ARTLqpJ5/0kdl/Xf+/y3wdt81fe6uwML7MduQSDwKDCTGYMtULrVpdjs6zKTptEBsPRMOWIyDhZL+hyT3nBCFzfy09P4/LbnA7OfV6fBbIfI8qeOAyMjMENpYI2OqyuaIwv1JmaEFAwCDMuk5AQY6IdNuzJssQi0nBMgZSwBZdEEsOdXYapF2H3/BFuviNqelONpUg5uKMDtwlcAJz6hmVoiobTJRNsTYMb1mdMGdOCfOaoARHYaLswgtiurC65MRbi+9HxFs3J/rpw2XYF5TKIrxNPhSOhmjfnPL+hYPTl/Jjw0F4GVU93+NO2uz6yh/d3D8vdotoXGfANe3CBy7SBCEzEYBiE/NYywqzbYw0WEuL3fnYXlxMHl41ptkXFQHUU0K8QpWLQPLWiVpE6VRaPOfjAOEya4rg1DR0a8w55nwK7erZUdfs5aAfbEonxn7plDkpyHYwY7SZFsEhogUeuAQEHnnuQwrOSF4llkgrf9nK4U+W91z7lsY8846LbtQGlJ2ztPfSGwqsdBr0eCQSlJTJDoko62nlhBJhnB1JYBDXp6r6fGaW0iVhJIerWyCNOow7L9UGuItkBod0aud/vFOZkmsJelYUhy9FAIMOItMkpv7LEoQQAo95FVmN7JElYTWDEQLIPjnOAPqwV11TsQkKsjl5LKUzQDu3RKxx+l7OTGMWkSuPoAmtPs469B+1m/A3DCglW0vvXTCYF9fwvAgmduQSDwKDAzuAn2CS8H9n9EH+jIEBtxEFJGF0U6kvq4jJdCO/zNmXkhrPFgLnsdkCDIbBw4/EFgbdmNjDFzW1OxnXpDQFoqS9uC2TCo2AMuzjKjPQtsGlWmQEGW++XdBHDp/wVW9wOH3quPlU8BiRGYwX7YRlZH4Xw0upTZKajTD/RtAk56sAR/0WmUe/r9/PxDC1qqlVG4sDAKRvojuu6KSl7dofLjwJjr9VZ7xiYjBu27lrF2ooni3hJGJ4nwN2jHDApzDUSiBqn+EHIDNQxfkpZpvmKrjT4K7vRYrGZQn9PgBFniG9rCmLv01TUk0EDmeROIjpJUx71hJAZLYBuPI7fzC9Owg1GYXW7enYGHP5kxW4MdicKsNGD7RbKxKwxEQORmzvIDZjgKDF8JHLpVyHJsKtEp7oQ5ZicOzh1fMv/xPBILwnNIQCZlhvtieqx9shVWdBJpYMRNhPAcSCBAfEBRuQRksoIRWAkoTgOlZaDKEb9hDfokm47hwKKHXc//cOeY7f/Sr2MqMwCskkuA1xHPUwJIs3JVAgZG5X1SWmfVgWJHsQhsLqrXOVsutFQI3lPHgAqDAFW3tCSrIuaDbSdiDtzYZodxcTgr4EgKbJlkTEiH5DiQVKufrQHHazHqev0pxWnItU4CKFaQeC4nlJuBFNa8ZwTXMl+AuaIfNk9ip7wG4KdI8nUalwYvwW//KbCk1N2WoND/+sEgGPhh1r9gauCMLQgEHi1G501gW39MHTDLwVwI/cxKZrBPW4RodPQsrY+NKEDrq/9NH+ffl/8vzVS4iK/sA6Y/qQslF2A6KH4+X8fHwh68jEPlF4osU3QY+rBpO8B58TYdwpqi3yk0tPejKp8bDsFs2AyMDCugkPgBKfu7oIaVi52vBA7chuaNn0DkmlHNEll+9veBC74D6tmZslICE1BI7n5uf18GxqG7LXn4VyqKm8iEYS7oB+5bRf/WqPw0bluD5ZhfwyLZaKM83YCXCyMzEkJ9qYqG8VAutDFW9vCZ9DgWah76wh42eREUqwbH2w3MrdQw0BfCQCmG4lwZ7WQDhWPHMPFrk4gORcX5c+FvEUBYaqkuQzYKjLEMrloOgmxniZp97w1xWFIac/6eLY3N4zC+4l8up6BJltB9o9MMeTCtBuxFk8DisgILCWzMJGFHhmSCQxw1r5dmGSCR3h37JQiwty7DGg9eXwpmKKMOsZNl89vYR2fAFAZCvA7awCCPPyspDIY8vfY4edEhiQIKLdcucFbgNUsTBcOWkhHxelmZ0wCDREOId7+7Lwd7akbbRDIK64Le63sok/m92yfkupKJBI4tekoMte7SZyCYcBUoPsmxWTIzEgsxEAFOMRB2nBB0Nqw8sDVB0OZgWisK/Jk7qj9xUkwvaXBypAo7VQE+faduJ1kmy64qwGqOz5hJwCIreGNJ2FltcQUW2E/agkDgUWJm8hJYOj6/p8kFh47YB3ax7M6yPC2bUYQ3jSAtWYDjQLHb75asKZIGHniXfpjM37PlkAMoO8+SMV/DDOf0AIPjVSzvDuV0MeZ2LH+x0zO2LBXfdVD/fux2ycZENIcZLrO2iUmAxEMCJIsCx/4elqDDVh2Rq4flcetnpbQtgwJu7LipcVIYV4DligYs490gQJ6PRmCjzO6IBXDYCi7OI/oasyeF1k06MuhFPCS2JPDAiZLM3aMAXLktiUgihCPHKcwYQbRpEG1b1D2Lk2jgZe1p4Kh+1ydTk9hMxj8DjD4hg0ihjmazhVAqgtbXFiUI0PMQhXn2ZodlUOZAwWFwGzn3Tj88lFSMBQMf6kH0OSdGQCd75ATyzR9w5D0uSKADZOnal1RmEDE6ClNyUwrlohIW5XhSGfA1lWb6cWPqewtlYM8eda6hOJAk+I74Bfd+GaNz38UWw/CwnvOJi4AV1x5glk5L9FNuYp1l2E44qZm2RRhmeKt7Rjksum0DBn5RrRjglH5vD+5BWljZrDrqDZMwxDzweQYkAwQiukDGv2ZbdcFVdMCimawCTytVGDIZ+pc0j5sEKayA1ZR9UqiYB2BicSVWogYF4wVWQfx2AY//5+/tthyIw/GFkzihwM+XU9LTLyDr5aWvDKoBP6SRl1RozB+mmTN476PFgkDg4YzqNaowA1s697Dpd/P4Z9Fat34JmKuoShuR0am4lippHLvyAwJBQ0eAcZbvib6PuLYBYG/9e5npU6VBZi4+P7suXBwDJIWt8uOT65/o6VWY8XHYZFIAgmoyZwgsr8jiLMxrwqzXhiHT4EPxgJEql5kTGfKIVfDrfbJ9JNBZf7OSuU7oj7lt5Ms3boF3+4KxjGrYHy2IqA9y2q+1Mg5YdmNutgt4m0wo4JI3xS7O9SuJDBfr4/vXcOXnpzvf/dnSBmxEBKVaBNOoo4I25lotZFohLMuXdW2O4oSDTfEd9YpFnFi5zyxg8Fc2I/RTQxIItKZL8J5E+mD3Jr6Ynojnkc6MFNH8Tc0EtkB2bVCn1U/mxQokIpkYcm2VouNfKAJjk0C5IEh9zC/+5xBpnsvVVVgbAS4agzdIqmGHD6CRrpePUQuAYDjRDKAzZbXFtX/o+PzrhhiOFQZ6nAbYCayQOpkUxAVMjYWx/6v/G4ViDZlsElP144roJ2hwrQVsc6DTJJUIFcEvWhm8Jo4cktI+6Zxbdy7jwEwJxf4o+p44gZ0UTZKpEGHNWr9/vA86AkysYLDN4I/2+WBAUjCrTLVk6curItUsOg80H6B6+jF0f8uUQe/XUjKbUx4sjvE689tkIpjljpPTeOoY2Y2nnvjg8xPY97SgNXDmFgQCzuz8cZ1RjqdgRhTBbFdPiP66kJuQCIb//8pf6HPiSHhzG+Cl/3hWg4Hmfd9F5S1/hKRfmn/mqKjqSUWTdwkdQa2mCzgzHiGvIRudc/T5VdV9n2MZNwT7rP8Lk9sCk56A3fwy4L6/diN1jna31YDJkIGNvWEKB6UVaU5yGBLScNFliZ+fT1Y7Ovl7NUW2118Fk8vBPvFiwRuIUhyBf1wkuRjTsTFLpVMnTS61EZhRklHwMGWWKY+7AYaPzy5q2Zq8sle/DijPA7e9Xb6HMr1SumYKT9riUwta7j9eVCdPISU/SxaJYwucKmsQlIvI2B+VBPl4gSJBPVbr92DzFvloBb9aP/E9z03EhjCz5kmFP/fdAhZvLiFab6D9zsMIZ8PovzSDEEv2RTdCKCp+IRi2DgYTSqks29jzoQyKGNgwQKKD7NAauxeNbgUaB9Q5c+SO1Z5dU1IVkvPEwHBsq2buzJQl0GrDFJdgh8aUya+3lUQBoIE+9VqlFSA96DQP+LxjDaTzZ1a/siRBoMz+c4fy00CTTtQFdraFqSFWiwi4ywB5Sl6T26IGzByDvfVWmMdcooGQBHuurUWvOTIk15up1nCoWMeF771Dn//Qvdj/wZ/GFAWKSPBzahqW309LJvW4lkiY1AaGN8DmxmDyC84H8xqhKJfDmPB4CKdBGqa30sVrnZUjjuD2ymULS6XiZQRASCBusy1qlnLvLdVh+yOKAdn8OODKnwM+/dvauiLGgEyIVPOkPfl1j4ik4lwzVs6kevZw349gfjAIBFwQ0H7j87sXxqvfBbSXgRvfoje/aJi7MqGUax2inMI0vSI+Z8las7OwzZ6LmfwA88tSVrWj7B9z+soC39HxN/s4Ut4y02N/1gBbXqSEPjPv1tsis0mDgPKMBAEEU8kiWmC5XRctu4GkKzFFYtPpkx52IAfEHO3twUNdYJS0GVzQREeSGNWxNwEvVgFK8HpxGGZjXDDz7M1ycS0Did1AaVoz/h1Dsp/SSiAAi1nasgc89n8C2UkgREQ30emOLCbuwW7L6rgW94FyxASZ0Tg2lkujfWJFxyn3Otrbneo4bLmF9i3aPkn5fWxnk5enkfhGCeEEKX0ffD5+BsOIIIQpeNiIqE7ceU1x7o26RThrwN0JE/S3yTks9pUXasq0yIXtEi3VywLHAgyDuUXnMOjAGSQxcCK3P8f72E7gtZpmaT6slRVfVY3HlEEZf6IEIrKtQmfmzg/BeGszcg71KvKAeTfeRxscBOZmlUmQQdcWVirYalrSHntJKweS1e87Aly4BbZSgWFQFyF40LUGRkZdad8ZP2P+lAYhfP8uMvJ5D87oiTNgoCEjlWWYDWMoFU4jRVouwPbxeqJmREinTfoHBOcgKof8LhpxE9yHwa16XI7dB2zZo0FKaVEnWlp+oBzvVsv85F3ue7JOsjWT1rWgd3PddS4BZaMt7JWCtyD98R3fAMavRyv1eODe/xBhKiodgmRYIhWt0t2BBfaTtiAQEHCZU31zZt/1azC8cZ21pAfrIURAWoYANAKQCIgKAS9+61mP4sM7LkWVPOy+uXK3ZP7MhIjmPk1/QEwyHg9IDcFM7ATGr9PHOa++eBuwdkiBf2Qj/F7GBZWZIBfOEOe1mc07h7u6AsNAYdz1s2WuveL6tU0FBg6OwAz00LKSzIgl7WoVmPm2AMRwktUZShBnurXAMTe/fvJDwBz7xxFg01ZgfgaWEsZ+pM/FupfDXw4aYBcKwL15VfvzrUxu/RqwoVsFmEpFcfcrL8HyTcuIU2zv5rJq3/wnJOWfANn31HZhMyYRVaB92Ih+0+AzBxFhK8LP4OH8H0lr+qPio4sfO4H4NTmEh5xYFMcASZIkVLqnST0z+KKDLeWBMmfjE+r0GWQ9aBu7gL8HmZThSct82uOrOj0ixoDPxwew2sDv5H7IZIrDi1AjwP88Iv+5874QE6/JKMl0qK5Y1tfTadMaTRhOMhx9QDELosfAqQ9+B0v7rsfvhWT0sNfS4ngZqLhjw3HDQ4dVP2PHDuWaYPUk7CYdmnlg5vhp54CU2APA8nwXU8CfYkEVL8km6QsfEadCoCCvubWSTKVIwYOVJR4H/iYJFteOiIGlvkLDon3y/0OIVTBiOgaMSl/z83h9kGQosB/afKXsh2smOOaP3kBAyvg/QP/eLhyH/cDr1z/IETSft9wzCI91nUJn0jrkyoXL07C5cZi+sxcMhDZvRfJ3fhv47F8BOzMwJEXh5vukJ+wBk7XvikHJJA2Z2Xx+eKLzD79P/37MHwGlI8Dd/6A9e2ZqSY6S1XVa4H5mVm3ggowSFm1+GrB2q3qxkSuA+dvVeft3FhdNpsO9lnss0LcFaDHA+OpD7xAdQKXn9mQpm4u8X66mM+AifNkrYac/IRUJQzyC9HmJK+AkQxO4ZR5Ih6UM24qFEOLfAiBz1Ql+ln+cdpC9j2X1pGAbLEljemzguwVkVg0adQMvF4KX8zB6MoR/jW7AbN1gEU2kEUERTbwZSsBES2VqmGCCvimEWsFI0n6oVEd5po1MPIQpKv9RTlkEkShBrMyM6U0Zbb/3UCwLxwCN2z0zB4wOO1S+2xdiNpqcNEi41ZFtA/bzWYJ2/fx5BWli0x4gNap/exNavme1gNmybUJ4lAsL+pm+YxfK6PUOWII/ZtHcvkQM9qJtQMGxHLq+vCUXAmmPZ09KGwnJKpAbd/LJEQ0EyIVAUSmJWt11yUpHfLILOuQoqfPbU5v6sPetj0Ph1iXRuNjBapD7TiocmnSs69xZOaKYEp/fulmrWFLmjwMcXSyvAOG4a0W4Y9xswE6vAP3Eq7g4iJUl8j6Q/nmhDgzXYOR6UkErCnLJ5zJRIGcEmTDZbtqYgNmSRPverqx296SSMItAyJAwDQb2w1uAEThze1QGAu1DN8N+5DU6V/3CP4O367Hf8/UkarEZ9iw9YK2pcrQbtMTdqrbWHSTJCrIxZSDjiN6t74KlL3zRP521YMAuTyNE531BVpHJ9PH84eLi9zkJpEpFewRSDLDiwGDsvdLJkAK4eiuQIGUtx6AcQIpCK1wfL+lTgSCinomOnv9mF3xYPeiU45zDJnhQyIroRIjKD8ESS7D0bWDmq/qaQQLcPGBp3i2IzmnRKfmjgTyfdx6HGY9Jf9swy10si3SufeDDwOF51SQYy8LksgpmW1wFvvOAHgOWs4dS4itbCzWYtTo8tnqIp2DjnvS8XMjJLZ9LwXDW/mlJARXasTU0lxuY+dd5NMsWXtggkgtj03/V6kVlsYn4x5aQfcDi4qjBSK6Bm+bWp9Ok9Y9G2kjtzMDuK+HgWg3X/ZOqF9L2vulq7Nya1eO/Od3hwrfcxlhIdR6YVXLun0x/NAZFk+OuT08nSmed7wlul7Q3nvIrHdRn4DF250emQFh5cBoSK98R5y/ZuDDlcYokBRQWOwFjc7YMW6jBxAoI7+b5ZdWBIDyqU1rg4HHtj6dSyoSYJVMkkZF1rWD0kXGP4NI1mFRWzwud9PhGWF4jR6fXZ2YM5OjUF/ZpFu5XF/gePg6DKZL8tDzlqfraArzROCKDEdmu6E6/GtRaH2CSn0AUGFnli2grSU7mGpDqB/qHBLtgb7kDjY8cAyaTiDxvUiYpZGQyEYIttoCjZWCmCnthGob7vcb2mUP++8JY/Ba2efwK3XAEoekaWgwm+sIINWIwL3kj0DcCExs665XFwM5fe9QFAszw8a5Xd5PS3/8vsH/6KZjxzbBrDtgVMrDzR7QXyJGo8biU0WUBpHNwIjvy0p4WAc1z5VkynkrmSUY7znzP3vNjDQTsyjTs4ilhETRjHPh+CGNmS0dC0BKdsOyfZjgyR02An/yHzqSnuc3FkiQ9935Ey6h0wsNjwPFjWk1wynEsY0pA4T6kI3PLxdl3/szuCgXJ4uX1FNBhVjlAZsMeJ0mENqVzN2zSjJKbWSPE2mVkDCrqdbSpnVBpwmza0X3vqZOuFE2O9yTMVn+GPAQMTwAREiQd6NRv5F9WoL+8BFtoIv7EHELjBDqG4W3tgyVZDm1ZcQJiXMyJMYgZNKtsLQC55w2jfqBbKaBvGt8eRnW1htXVkIj9XVNv49/KG1E1baSMh53xLiYvPhxGe8ACx7tfUyDv/UAdbbZSYmF4vPY818vmPvqOis6f0wKS9Ta10iLBUg9pE/eVQkzDep7tah6GI4Z0qnKstzqkOmfXe65rmZXrdcOO3ZCBRjSO5n2zWPrTfZ1nB3+jgTCxFjs3A4PDoixp+5n57oE9eVgPuM/NzyCAwlM8gLMrymC4LQrDSobQB0cEPIqBAcU5cEKBQajw+1fcmKNFm1k28SEJ160/VYIpN9CcjOHUJ5cxNxtCtr+IsQsi6PvNHTJNYshzIQHvIrBtWxccKikkW2JpxTf4bYvOuY/p+WcUt1SDvWdRQK2cTJR7fpAAVUo3u6kBVnOEabDRmTyRsVWRgI50HyOB1EwdIU4RbIrDPPf18HY+rfcODuxsiA0gaA6ck4EAHbrNz6pTdFG0XToOW5hTrnIicnnvETg0HIXddxNsdR74+u+pY6RIyJ3L3Q8cJ5e6B0Oq0bWqzGtLlsPVQRZmNxrkK8F1/u65hr7252gVWzCjF8Gb3PKD70vxZEdK+HsGAe97qfzd3l+F96Z/WxcMmIGNwCs/BHvoRuCb75XghOQ0gkYusczLbLO/67jZg2d/l2VdLorLy67szszuIDA0qNnSBS8G7vxQF3NAj7Z9oKf83tZxrURPg47v88lnWH1gcHCM6ndk/HPkMvzuwctI8acLMo81YwRuw8yJrvJcqw2PY3EbTrtRJzcBySxMvQw7OKBgsB4z/WnY518JHD/h+PlXUP33WQkCxJhty4ieksebbSqZawt3dT8jGkL7RA2RWgsbfnkU3mQakZQBhvWWqS41sfdd83IN7Hp8DHcfreCeShMxr4nLshGZZ2c72o99Gkt1JK8bwCB711872q0YpMNor9VR/9oqEr99Tc91UVQQpmyMw1NwmkKcp7ttGQjweM/M6L6kHGVwZydcW+WwawdwIiBFHgAFCgr3PUF4IiS0ru6l35G7HJj7ro4O9po/yHDipNJW53Vm3xJLcOQIDEf5ilW9PYb6gfHNwNzxHs5+l+HzO/32RIUiVEY/i9crg3JeB6wi8PGvkGDIAk8bUxBkXwQ2G0XhG6uYn/eQTFkMZFpoVXqCTV5XJKli0EvGQwIphdyIlQTXsmLbQFpEvA9m5LqyBKuigcjPbhA+CtGsEDCfVhtMLgM7TrZDh8f0R1vjrkrYeySZ/fMnpxUuQ4Ao2SXJZLjl0vXHNbCHZQFG4DwMBNonbwM+81r527Y94Cmv1Z7dx/5IM9uxODBFzXEAD3AxbcN+4k/RbrThXTsMM6I9WPTxOc7Hk3AmpQ6fWVOL4itMiIz2xX3zCUy4uAgbnnuOwB/SmRKV/J0/Q/3LK4j+5Sf/02CATl0+LrcRdvZ24Ltv1qTuyX/dCQbaD9wES5T2pkv0PUtHOiPmgox/CGMwYLLPQ7u/H7j5bxUlL1MBGhDh4DIwXteFmRm69NNdL913KiMjUnKVfihLt6xwTG4ApntG5EhO4y/mXLCpjseyNN8v435cMBX0RO0AtqUP2AiKM3VkvAamNmTVoVW+BfQNwXCMLZGTwA4stoxOADOndLGWEUW3v0uLjqGNyHOWy6s6GeCPcvE3AXJVcvNzdjsPbBsDjkzD64sg/qRBWKK4x5IqRsPeO1tCDGY6EZIRdThbtWh+7iQiT1UnFZ0rS1nXEAC2Mwv7QB7N6YoDvwH3zVVx/d6uc/9YfBJTEQ8bdsdgOA3A48mWQ18IO0sx7Psfl3GoEemwwY62B7v4YCCnoZeh8+dEA48r+Rj4m06LGbNcKFkpwWNyswYECye7HBAim8xZ/DaQfggQmlR62POPwjKQ2P0iWPA8c6d8eeoSEEshfNEgBv6OehI6vRHePKjKf3SOBGbyvpgpwB5Z0IpRyMk4JxOwff0wrRJMjtoTOeDYMZj9h4Ht29fjDbiar+OK8Ek6DNonCyr1nKK8snsqEUFrtoz28Qq2bLaCVZVjTFjKR47DXJZFeFMW6CMxkwsyl+aA3Ki7h/h9HnDwmFYsNk3A8B5emdfqi79ZXBe4XawQ8GHXbVFmRQcElEkFH6TYAuZqOLBQQb7aRLpqMUUhKFYNeB2wU7HWhnnpnwTKg4E9Yix8Tsz303jDFeeALztgH2+qtNG5cd5jO1KaxfuLSY9saHsyjuZta4hyRM6Z2ck+pSsd+3K15CSnII38TVITAqbqOt7jC5HQSPNKpyEfbrVk6FurKSV8PEQgIJn9P71M//PMNwC3vANIGAVEH7sVNn4SOHY/8Lm/1hHsWwporzXhZcPI/DQzOWbZBu27Pw+TvxRmTAMHk52Eze8HCp+BSRrgyl+E/dY/uC9l9kRQFhe+tkj8rpPnnXgGbPnjDvDE6gdL8lUtPR96v/LEbxhXFD+//1RejwUXvs0J7QmzsvBQVMbxBA6eKGD3L32683X7/+Hp2DHmyF/YjmFGKjvBErLLcIeGdNzLR5P72apfaeBCLRTEDsVFR+cz0HHkkGQ73C7yA7iqDY+h7m8/MO/G3U5UYPoawL13axuDkwbR06homUBuzcKyxeHTHhMEmAph92vG0Dhexrc+O7vuPBfaFiM7IkiNEdcA5A+V0TxUlimAUNhi52O6Y2Ltm5ZgNsURuziH9r7j8MiQJ9/jeBW4NTy2IttbVdQ+j5G0sUh+Q4wGj6cHDJFmuqc6QsY/ovM3b+9cmyjNw8b6BIVvCA70iaPq9+k10Pc4oKzz+awc2D5WgCII78jBREu6DX19euhZ3WBmLcfZVcqOlICNfRoksPLDa4HnLRSCIW9AeKPDg3B7yEBJAiR3jgnY65iqTtow1RSLsNdRnMhvG3luWzUrp0WHIhj+X9s1qL5tGWaOo6WLwIE12CtGNTBhG8Ny2sdNbBSWHKC1CcPrxycd4vHn8TyW10ye9/uYC6ZECroohEEU2JJ7l6eJlYDZClBq48BKFbvfe09nT+5/4R7sHKJyZgjmFb8Ls/XSDldJYGduXBc7DJEP8/3nuz2iAwHJjN/1aypNu8WNjcU1spbqoqw9ksN2e3y+s2ZQsJVIcCO+LfqUYQkOBAnM93IUkMaF1AmSiDSub7ksDMuGD0ETIBSsFHqZKcvnCBgoFpISb3giAc856Ae9b+Gwbhcz0dveAeOReIRIpyZw458DR8rdWWQublmt7IYHNVuyIZfdv/9dmow+fgReJgJ7BdX5Pgnsukwd4exdMJNDsCNNIO8kg7mAVZhV6eJpjyingBnlQhuCZQXg5Ell/uOi6FcMJp4NRPqAe/9Kt409T6Ev9mAKediN1wP1w+udJ/vanCFvt1AghW+P5RlYuZlu2zcIs9jTMOcoII1OvOEHAi6TGvKdp8vm+MOSL1/j9RDq0NmxOsH+L9+9PQR7clp1B+IxBYaO0pEZmJMzCnabWdVrivskbwLC1w3CDGj1yC5TQtZ9R7WlTm8ogvhCBSHblni013Zs9ETtr3iwjPSOJKp5ig9ZpI+V4I34s/o9ttqE2cLrz+0T+wk+5W/IOSi+qd89lunTsVAGYOKb2KLxHE2zu2A7ixvbLD7dsHO2/tSEb2QgdIRR1BzQ1gHjYlLdaUBhOFaYG9aAkOeP1Zp4Ezg1A+RJCKQ0uwSStk+taWWixBZVHBge0e/h9vm2MKNBAgV7fO4J7s+Oi4Fj+zukPWb3FbDl78KE88BwSngBjAhSAaFUE30vGEfzWAlZIfrpoSAgaDYTgbla78XqF04g9qIhDdqnjymYksDBqa0qxMVrlgEkwX28V+RNFA+ieidBjd1NlwA2FwNWrQIhiRHarwEyj13eKWD6dvymVYwvtBF51WuQeuxzTz/7gZ2h+ZCPh/1+G5yCR1wg4AP67JE7gU+9RcU/SLrBkSZuLsv5LNMJ4I3ZZwu2RZIZtxDIm1my84Ssw264Hubo13Whn6kCJyrAdcNKTCMYAKPyt4J470EYy2LpuMxltKtn4SSxCy8+jqP5xoCDi8MmgrTYsyXnfbePTwwD/uV3tX0xFHa99YgGH259t8sNRR+7C9OLhJB9Wr9uQ4FMc1FYHo8lX+GO5XgPuP/9unAevFv11wfSun1cwCYGuk6Bznnzi2G5AH/tb/U7D/wzDBXqtv6SfuaB9+iYFhdF6hDkv6JsgSTVqVZlnlpeFwrDEvT03S8AW/qBMccDIE6re6wyRND1WIatiZIqxEn7gbS2tKUFzeBog8PqzJlRjj0DmP739RfJ5IuB2KBoEEgfneePPAMd0pqekjOdqp+RRvV8icgLKzo83csNWCLNSQJDB0cHxqrACDkRnEO8k2qFTdhL+2A4NeLv32Qc0ZCHi47W8O3RGMI/1Y9kuY3xW7uAwrW9RUSHw8iNsW1hgeka2qzQ8JomIc3jJoD5NeEithxdpKPzg1QGAUM9QSX73P7FwQDIZ8+7dz+wmSp/UcfMSFwIxyZdUOeT6XC7V2eV0Y9yvsSKCLmQm9RgpaF0u0jqdu4jH4hIfgIfmyDHNaLXZZb0xwZmWTEBuHxAy+lsTbEFxethYR6Y3K7bU1zSdpRfNaLYETEKpBT2gwF+LgMN/s0JlvGcVhrYznBTAJbVvcOLCI9F5cceKMLetYL2tjS8i4eBnJ5jvSbbiG4IAXOLuupPL0iv3166U4MKESeqr+9ITI7Bjm6E2fZErcIs3gTMTgNDN8De828KlJB1iBUFkl/p/tiMQcavPjlrLHk4UWhi6rFPWX8dBxbYI8TCjzgQ4L++UkvPMyVJWiTiZrnUBxiROKfZRvP+AsJ7MppF0eERJcxeHwMCZp3UZ+eHLnzX6ZewJ2qAX/nfMJOjwE3vcD1elwlRXIULs3DhO5ITf86cRtQ8FzZm73xs2GUxa2wd6ILwwLECCrNVJH/rl7EjHkX4TX8Lb4vTFi/NdVnkfH3z0xnUtqWB+9aAwTBas3WEJpm9W1Uto2XbGtxcSyKdKAyrAc2WbqKIovwA6mWHPqhYB9+4CLPxyUX+8PudMBDR4gkNWjiyRcswy3elelYnKFNL7nv5DFZq3Aw0nYvveDjvPRrC/k+8DIVyA5mYh6mJFOwanQ8DsZYy6rV6fuQzqsDamlYxVr4Gw+yeOIQtzwPmvwQc/yAw9ZvA1G8D87cAe9/f3R8eByE4Wla+fRLKZLIw8QuAkgMDcqKBvXcC0bYktfcvQWFEqyc8173gObZADrgSNq/HCZdVMwPMxDDwik24et8qMN8Q+v2evBfxq7NITiZh79MZculUeCF4QwlYTgqIhoCbw7h9SXvIzyRPw4PN3nQfkDEKXutPa7AmNM8NYfJbFwCRA+L+B4CRAamOkKpYyuLJtDq9k05gikqQ2T79vr4RAdTZKjkkSH1IJ+laPkJFXNceu2wMryFXgRgk/wADqTZMfxJ2y1YdPV1bg2U1j60NjiOKTDRHVSNdZcoOj0BTrzlOkIyMKB6CtnBQgxRKBgsfgru2TtOewPY0vNEEPDplj/doWO8uriWlMsxEUvebaoR04GxrcHyWgkRC3WhhuR0MPASYSXBhBiDnBq/nUAR28ueAm/9eKav9KR3PoHGw0F1Iox6mNqdx73XbRKSqdryGwWqsywER2I/eAiKBR1cgIMabnZrsY1SUo6Pggs2SL58UMnBZTiOXuUx5wEnLslLAnyrnj12lgOV+WXwiCjaaiAEP/BPsUhyGmXR/Tolz6OBpXARY+hQgkXVZqRvdoi//7gpSF7EkytI5S4K+rKiHB/YvY88fklBA7euT47jsN1+OxJMH4ZFz4En/vdPrJnCIeAbZtnX8LBwr0r4vVV0JbmsVWvBcECQlrFGO4Xmwx0owJD7qUB87Bb1Mz1jY6E8BnBF3JiJBEjBx7j4li7GOFFqtBMhnOBEijm3VHBObv23j40D2McDsN4DZnqmLtMvmaI7eV94nWZ/B1OZ+Pba0o4dFB0CHv8vA1CW6YB+6F7XvLiB2wybpPdtZShFHpB9NQRfDrIxBirC/kfL2Q8Dgs4HZTwMESIoz4bw8qV/Zm2YFhD11Onf+fQ8OnCqiUKgiHTWYGkkARH7TsTMgcD0BIfBhZp3NwNLpkLue1wJbTpwbH43DG+khfuH4qMQRjrk+HkL6whTKKw3Er+xHZFMSWG1gqe4hO11Gu2ph7y8g8ctbROWOI4wgqI1ZPGmOuV1Oq8GCRDj3A6sVGPb0PXI4uIUvPqzniOeTVSUCMx84pNktjy3vG5a8wxTzWZKs1g6MaBWM/aYe6wQd+WWY7Bgse1IMBuTJHgcmlTbXqqBDnXMTL3LvhLRSNleHGas5sp4s7M13wo7nYIiUFzyIYy/sG1enzkkfuRby2ragdkWWgkCOkIjtGoJPy+Q0oIgR14VqF5Pi70M6okGlEH25rUqnYTmyyCkhmZapAsMDsPT9SysKlqTKpVy3rGCwrUQq5gQMAwGSMN32YUfWRArum7tAQgEfVkV7ILw5hcZ3lwQfwPDDi4awmRMND5TR5n0wDAy8+72IbfeVFQN7RE0N2B/l1pyb9hMNBGRUrlkRffmHGpezh+7UBexkA3ZDSrN9N+9MIhvL8rhgAtp600sv3QepuZszR5GVGOxNM8A4FwOWMEl569C/PurYY6+ekrfjwKlZN2tNJjOq0FU0Q/Z7znyuUEDsipyM4XUWIfLUS6ARQ0Ey/K7FtsbgsfzLWXfaZ94FTKSAi34adubz2ps2rqLAs8BtXORMOVn1mqJQZpoeQlWLVr0Nb5xKgUQuk8K0BcOs1B9f7DhrH0jllvbsVuDwF3RlJEubj5yLRJUHnk6QCH7fmJ31syLgxqn8z/VHvba9AFj9kjh1E16FHXb0t5mEis0QrSFIdJajW0o4w41kZugHAnS6BLFFXZBGExBcHLHnXaRl2LkZLb9TtZBZvTDlGeDEvztQe1Ud0sLHZb/kCEejSmXMz/SrGCSeKZXkrQdmK9j1KzwWavvedDWmWIpnBYBOTPrz7lzJdeL45uFYGa8ZghGBmZ72key87mKz1BbCIU4JhB6bQ0YkZxXfYC7dgOGrt6Px13eiRTpa/1I5tgSMOL76vhjMz14gjlsOy8qalsF9vQbiUuT8hoBRjneGYEc26v0xS76HFszYiAQv9suHRRfCPGG041BZ6ZDJFrZi/EWT1xx/eM3znJXLquYo95NK9YoMtDjMJXX+mRxQ4/HlNeHG/E5X3mNVyCeu4r3DMY3VVXXiwqXLKFevQwkIaGvzHW4DQeOLdLHDh5CAaCqnY6LcFvb2+Z0XRIHbj0r7sFd0RoCfrIAQbLhnh4IBfdIlTprwPuBnMNAUjgyVOJbXSNXRAhv2AM1VoN+1SU4e1yTFH7Pl9zHBWNSgyhuOw0TrMqHCAD6RDiF8WRrl1Qa8qkUkGVQEHrGiQzYAC4Z/okHAF/9L9/9P/ft1wYCl8thf/S5wSfahy6L5BnDHGnCJUq+K8R48UdLRHNf/FV13Org9Ge3TX/LLwOwnFYHMXnfEgfuY+dKZ8Mbesk371QwEWD40PgWvW924SCZSiMhkgkr6ytTA1Aai36QEnelhE6NlkmHEL8gAlTaQVYCgZGi3fxQm7Xj4RxyjnOtP2p1RLTseKkhVxF+wQwTo+e+hiUyrUp8+yHoRsKkJ4DG/DtzBNkirM9YnmWS9CVtXJTUBdjGkHh1zB9s+GDPBY8GszNcR2DKpCycfZ4m69/WssmT7tTxPkh7u99wa7HyZZQl18nRMG7Iwh++DKZRh63UYLvQbN4kIkTgnLs5UJuQCThZCLsCLc0oQs3Fbl1f+9ADI3wd/RK5pkee0Q48VCATj6eVvBonDfVqmX2P2rZMPlhgFBkDFBrwhVhmYua7XXWgfLcJsTCFyZQ5gWXw2Ly0bMRLMMItlIMMv2xYXFl/Bh9yyBLuDwW5PO0fYLHUaRbIUuU45xdHSNhkVADMOc8Fs+o77tdJ1KRH1BAKSqjgG8+w9CgaNOwpfBq6hsN4XAvQb1YDy+JGe48cAYwdQdZWeGnv3LW0XyGifO7dtl9X76oAcwRP93J6DMnNSRwf5Gl7bh47BnjoBs/NCYMKRGvnXlOAOeP+m3ORBW3EEBBb6OAIyHjIYYKWGGTm3hVWNuTlt00yXYS/eIARCdnERWKkCCyXY/iEYBqCui6d8IAxyPXevO6wNKxf+MU/3A9OHdNRw0rX1JDQmWdZ8Fx/iUwOTiZSHL89jYFRciElGuY3oxjiic3XZL5EHDyywR6id1dYAqXE7hDi0hoUhQxdL5wtVtL/F8jAxAhEYAuSIDWD5NOEhPKnZaOXOIpKPG4K5YFL7fOWai/J503OEqa+T2RIUp9ktgVoOoUcTfnXXY6fD5J1NmtqxYVfOZIofUyCXx3KuE3/hQjU4iNZKTUrNe39+DwqNFjKeh6mdaRi/AuuzlHVXQDU6nl5nxtbGdEmR+WtNIEvgmgG2kgGtZ9aceuYJr7OpkhWy58rFkfvHbJ9IZmbfkQFFgfdmbOWmTiAsVoCdG7qld9982mBm1vzN/eTz+z6hGRKPBYMofqeAxtowEji5hZbG48/31FdgS03Yr84AuTAMOR64MTzPZJQjMHEiDHP0uFZnfHAajzHfTxAhP5vlZC683Bc6j/jlwPRn1Nn7+ALJ8Fxlg+qEogxpYMt1l6F3LXrLKhp9cUR3ZLtAUJ6nbRv0ejl2EoY9YoLKGATIBWvXscbZlapSEvtecGZt/SiSoPBbwKGTWogZjaB+pIhI0cn3nqjCPnlIQafchqNzjnM+DEsMiC8VIZMApP1lVcenjPZgRsOwuyaFHa8zx+6fQscuKAGZT0zEVgmPkYzk9lyLpC5mcEBAoD+iR/InIvpZBaAlGVhzWkaJpGSHdlyq52P1FCynGDIOayBaA65y02tJ3nM+mRCvm7rD/vA+TcPE+zXQHt4BHL3L8VPEgA279PuK8xqE5ldgYq4SRAbGSwkQNdrXl3vOiRPxmPlZPveD2+jzTrAtSOEhOm9+/1pJZKoRIwkX2TFrMHKdkfa6DawuwiP+iEcuEYUZugg4eae71vl5JNtKayzKqG03VRl1ASAmxJDxMrAfiwUQgXMoEGD2zyqA3xoQop+//wV98r98QBD25rf+ELj3Hcrjz5spz9IlS/OqHtestrB8s2Z2A08ZQHgshtgWIou76maGJfBKWWVuCWCb/peejeCYHF902qw4jQsGFxLaSh7Y5EqWsYHujDtpV5edPCsXh3JJmXzvWkZkVwxTN4ypTC9560k05I/O8W9f/tZXAWS2R1lfZuV8ntvfqxC4LaO9/FRdK6+iOe8wCb1Uvf6izdlullrpUCaeCmszwKdfp6OCT/hVmHv+sbMwKWubB2zlvvml/57SKp3o0XlBa+soGdHmqzp6yAyPiylBXXxf/6AusH41gcYsfmHOVRlywFIFmCgoo5pvOx4LUz4ITDi+hS387TvaNjCn8rQK1AoDYz+nx79AfgT267+k0snMDllB4GYenQE2s0qzopmzGyFEZRZTYynse/0VKJSaCC82ceEUqXfd+eE1QXAbGRX9qgafYxDCCpJcOy477zVWUiiJPM5jUFJHyvNI3ICPKxgiyJJBEkF5CUQuscC3e/AVolTX1kRVSGc4KjuyXj+Apf0sKyQhrZzwMZnhb2kQQeVGluB7aaPp6KTMDWB+wQUlBMW552MuEJNAj8x7a3qsF5b1/JKbgc7zhLIS2lxOQX88B30TwOpJd89x4qAluA/y6ndaUhS3ahVgqelQbWjZ36/aSVuB7aOKKlHSwjENAtYUxGj5ns7O9GThEhR6UmUxu6Z0mwUEyFHZNX2e7UUvArNhi6PPXtMguYfsSo4tx2YHXfD59dv1fmSCIR3HMDA9D+zeKnwiJl0GihoUCQ20OaGjiPzJRbqBF41BOx9nsMvuzJNeDzMc8Ab82OwMMQIIMAI/2YrAulaAqwas0wj4l9/Xkj6R+X6UjZAskKduLqFVtogJ/az2UZkFhRilrzuRrrwoyHf2Q1nCIwK+qRnyAzq3bp/5RhhWC6ozwOqX118NFOHxzc8guKBw0cyQmY+8534GbBG5fhhYyKvzp+oZK8Oeh1Y6jNKnZoXyOPvCSc0WM25Ro5OQbEizO5nZZn+eCz659f1SLBdSycjdqkOAkow7hfT1dAj8EBIFCcAxDKx8CqjUgSz1bMl61gfLwIoEKPvywJ4+x/vvyFRYIuUYFXkThI61Doz1a5bJ7aL1ZpxSceFYHrUWCjrX3mucC2e7gNvCH1bYnzgGu0rBIJclFu9T+mH/I9lGaNaVDU9aEy7wiURgx54Dc/QD7ry6kTbiOkgSY3wuCJdVd1R2e9zIyKAwLU49hmhxHtvei9JViHwUuhDN5IEBjthVgRGSKZVgfbVGVpzmmFk6mmVeYzFKL0dhN+akKiDAP17DtBx78GFgx/OBfR8HhmJYq7QlsY3e4KoBzEoPFGAZ8A4l4GWVX5/ZqM2XdJfIb88qgE+/zOuDfAsDDFhZBcprWdtvabFPz+NFWd3NIeDECVin4CifV+T10dLr0An5yLFghUZAsGTIo1N2M/VzCwK0k0yebam+MTfSKzeHkuXwuqfD75/QQPHEUZhkFHZ8TMSFgAqwsgIMEDTnziUBoDzOEgRM62gr7YGTwFZeVzzXB9yYXvXB9Mm8D4VkKSxBoJmegR1hu438EDMqRMUgzb/X/Du9TIVCtgDJV0HlRaco2vv5667pqLbyZK0qwlLAKtQCdnSFoh7SpA0R4AMCe2TbWWsNSDvgv3yg87ed3rdevnba9f6pGxAyGP3btwHjF8PMH4Z93/9GmAtoB7hjYVcLMOOjrn+eBEafBVS+40r+BC8p9sAyypepQAsc+fvuBonOudctS/slWN/kc4q6SAq4iLrtYZhmHbaT6XD063XAPe+UP0OxMLK/ul3n8CVDSCgKXQRt6ICoeJhUBLO0K1wGy+RiYVUBTwwASi1BJ+uHOpbDXc+DKXxD++8+3zlLm658LdUE+sW+MOx3365TFFxk6aAo4JJuwYRKSl3bqElv1SdUktPQu09wJW4fPHgaV4Cox+0/4hT0JnRUilwA7M82azDlsiy2cvzJ8z+YhhlkxtpDh0tn27Zol/PwOBMfHxfQoKrQ3aIxFwOWmWUY9qT9GXUGNDxVdHyjVDN02bDMrLuMulTQwIrCMTx2vggMjWI33Fc6KL7eB4nSwW/YDtTzSmXttwWYwfPPITdCuHEChpUY/r0yp+DUvgRwyKHuRZmuBtzzr8J1Yaer6LswheZMFZV9JaSeqERJocsH0D5RhGF7aB8lhh0Qk/8wA51dkO8SbgVenyQckp65A3tyzK+40p3gSNJpKQgOuRH9uflmuRcOzJVRqFtkGh6mxtNAcU3VBHuNAQerTC1V3ZNjLSyBbWDlJJAdcRUqzvwPOnCfCxCFf6MLOuQ94s4ykBlWRkHKJfuWGNTKQN5xQdx/EtiWg6WD37hD79VTR7oshbSKY7/kcz1tLUtZ5/uVLAvze2Efu8thUngOPalUkS/C7l+F3TEA02oormATFUXdOd40rNdyX9YBXh3IlZMkqxXYT5zQePSxORi26Xo1Rzi+SODwkrvn+fg3/xx24yVnVar8UW1nKjpkA7DgWcUIdLABNC7cXKCdDjxnu+0r/hfMwX+S/4cP/CWw9S3AaEY15uVBNl4NDhwpoPDAGjLbatjJUSx+1vx/dDnWmTkIYAvAY18CrH4HmP2X9VE/nY6Algj24Zwze+Ac5eqJ9udJJcsFIqdBgZQFB9XBcYEucYErdFT2RJ9c5x57dpqBDT/DCbn4XP+nl6f6ktrTJVCs93FmjdQQuOPfYEf7gTlmO8wY1TGdrjmjCHgH6rMOTEnCGm4D+59cpOlQmMlODqy/OaoOHc6scCGvrQHOi5MkiAsr+8/EVdApM9iBcwA81ly02SNmi0C22y2QHOmkEAwDKR4LP8ur1GA47y3bGNMAhQGdgNz4vhQMe8/k1qdin5SPWRqn470CuONj+jnbNyvrI/viBELKMVC0N7EQ/mFgNUHU6XieuW25fnUsvhATwWl0VgwwiiXgPu3zi8b86ceYxozYF6/JxmEvGtXqiox28vuc6AyBZKkwwtcOIrq9D8i7fRFOAqrdPVh3YJ3JdzxEhuk7XuJdaIcfcJMeO3vOKbD3gTVc9Ee3dB7a/2fXS9vEFlw7rfNaHyjLe8E9zuNPHgCf2llKXyQvigHpQfeeHvVIBiE0Xg+r2mbRsoGbyvGvbIJQ2V7yv5MjkYODDuPhXsZ7mMeT7Qy/GsfAlMGbjKwql4gGQi4Q6JXd5rkVLIm73zalVO2wHodZqWrLED1FOrZ8eG8sr8p7WVUSbEyBkxPEoLBlRdrACrAxoVMdUV+Hg4FiVFsErjgZ2I/PAozAo4hHQHpor/8o7NxhXWfGtmlW6wIBsc+9QReAV/+Vzjn/xx/gwFodu3//5s5L9r/lOkyNJ4FtDDLy2jsUR6hO16x9w6nphRTVTnS49BgbMCzp9htg9pSuBhvVqXSM6GWK4tDowFaLbuFhKTsC3H8AuP8dsJv7BIkvLc1t/x0I5xBKFoF7/0YBX7teCJz6dHdEj9kxHe0S1flcgCO9V9ICKypZev3S5/UXaGY3azBZN3LF+XcKJQlDHkWQNOs1JMlJR4WJzWTiMGMZIF/plsRZXpbPXxXBHeFcF1Ca22e/MlJqon3nCswFRMe7yQ724tmrzWRgL1IHKU7bHytzC/u6QKa30iBjaStOEa6tVQ+eAy7sbDnQkXAscbntRs8cPoJlewYUPkBxyXEl+PvUAS66snY0ISOnxI/YpHLjd2aHWRZedNn7kHMyDNKYCbK8TWPg42batf/LsdR+GZuUIIH4D1ZTNk0qMI8ANl5T8ZwS9sQKCl60Fq22Rfixw9pv53ZmY7As05NRktfaWAKYq2qwtzWjlLfE07CSsbIKk6bTccHTwFAX3Ee2xp5Wi/bKy8DctFY7GEBUKugV56MVOIZLO3wSdvsGGBGVYquAwMBxYPUBYMPpstccz6vrGKiMF/rMhS7wZaWH527bLnXOh48IZbecO78lmB3uBgoMJLwicPSEckw8ZrtjH2wB+QWdQvHxDwwIhFqZUzgMxlm56FFHLDnMgRwfnndnvKa5TzKVaGCoqMhrZdVpaPj9fl7uhRpslcqlJL/Ka8zjrmdD/fGf3yTjzDIdsrIEy3MXNzB9SnamLSr3zdy+Z/xxUA0I7EFWLBbxne98B+Pj47joootwNu0REwj4wUAvqEZwBMtckLhwuIjfCyt1Lnn6L9yAwjFlbPMtXyMXvCrficMffAIw/2Vgcd45UQdA5KLlo5oPrkr51k6Q38BhAciex/IjMz1iAuBKzr4x25pkf5YpJvvvD90nDG29BCY1AVs6pc6CCx3n4Wnsy7NtIdz1WV2wZcf9FipJh/wFxbUSOFHAkTEC0viSuBsLm2eflaQ/Cc18ya5I9jpmxZueAnP8Sz38Aqx0tIHtLwbmPusOvi5enTGq0yYcmDGZqQzMSALGZ32TcrFrRTj+d8n0eCy46PLrBke0HEsHTyMZDxd2OkJmij75Dc8tt2FiRMvy3BfS9BHER1BgbRa47DeA+jJw6F+6aoe+7dzqmEXc+eCxYpbpA+OY2Up/nCNjPpaAQj3XAovuGPA9Ifc+f8ac1MSMKTamgYFcZ+7esO9PMho6LIoVTYzD0kEdn9FyMY+HP11CXovZJnC0iFCtrWp1nCsXwRpXMXDn3fQRa+DK+37/m2PzK0XYQolzqR2NATnOZLwjyr1cVYKitUVg8DogcVS3gVLMvMsloLXIcLt7LMY42Se5JBnTYLZ7La+5/WMlgOeE7IDLs920me2HXgEr3VsdrRXwYg0HDsxCNju6EVP9xS4z4NIpYKxHmIvncvMmBexKJcBdLwQDkhiI2gC8h2sNmM3dRdPe3yXx0mMdhb1sq0wBmEYZODat52Ejp0G4D8nu5AK3kVWx3Vt1m+dO6ejoCQIn22jPEvdgYCf7YQprsEtrqrZJ+nLeP5W6Un7vdayRW6y28nwj2dnT3wJv01WnHaPAzncegTvuuAMvfelLsXnzZtx///14/vOfj3e84x04W/aICgQe0rhY+sh2yode+2vAV1kZIJd+FNlNjvLUWZZEPMyoZ+YV0U3SmT6OPrkoXcRjejTR+eEXjHRnykdVbc1mngB8493ymXaUM8zkEkjAsFzOAMEnTXFOxdTLsHsmgKVVGPYTuboTTFSahS3O6uLGPuyD9Awc+I0LEb/fuJ6wsADazliYUPoy63ejazRKnRbydWTTEexo+lTJLJOS4YYz9zWAgkUzX1Fn6qsvMhBgJeDov3UY/8zWMQ0CmG0yQGJbhYseN7FY7VDvdohkOmVcZqorXVEgnwhI5ssViyFZ3lYHwJSgZU7bHv5YokjsJtRJLK9oOZZZOL9jjfoIbiLhwHv1u7mwn64Y5k8I0HmxWiDb4KoiMh7q6r6s6tCc/gAKbgSMxrKzPzkiCovkmoioA6ZgkZBGcXRTWySdtg5VKq2S1tit1wAnvrNeYleCkB5BLLaefPZFluTZytjGVkIDFoqWf0ggM0moFldhNroAKBSDPXUSuNsh7a+7BIbc/Ws3a/bNa4XfzfPNCYB+g60LNdz3O1cjX28jFzOYIpDtSFGrGgP96hj9KlCnbcVsmIyCNdhYFIbTFAxGiEkoU6HPiQpRBZHHQOb8yzhw71HsetFHO5u//z9ehamhUNfBE1eQcpUeVuaqFoZVDh4AXhfcDLIiyr0el32xudH1OD7BvRS791KxDNPHMUQLe/uy3O4P5OIoFyLIpCKYanHCJu2u27WuIuemh0D18x70uUZEp8GBRN30gJBicYyXeBFiAqTS2GPJMEwuGBv8cdu5yCzYarXwzW9+E4ODg1haWsKWLVuCQOB7Yghe9f/Ukd74ei3pZdcDbqY257D/s69AoVRHenEeU9nem9HNOxNZz4V3keNFbeCn/g9w6B+6/WDnvMyGEUdiQv73L3SnD4RlraGZrGQUzglMT+tCy7WtWodhadYv1fqVgm//f/pfgsBGh9fjEpadpjtfzeDhHn5+CNiVBZZZerWwXKgFId0SxjLxEDNVHCg1sOevHXc+gL2/chGmcnEYgtO4DVe+EDjwSd18Kfmz5+9IdARox8w40j1Ggi9wdwTL28sLGry4xy2zG75sy9OBgusxS2nXScpW3UJYb8CeOAkc0hE5e8lGGE4RiFytk3L2wVUs/1PmlUanzECAvXoJMjRAsqQI9o/oWhWmjzK9JFhKd4MS3+gQhNWwKW2fzqFmhk7KXq7nJCrqDSII3HzsrwExtkw+54CiLlAgqEzol0+qeqFvApILS7uitVCALTYQoqAhKw7Ldyn6/8Sa9rm5X6zKxEKwIn1NOuVFlb7elIFhtYLBGCsrx1aB8aSAIg0DFm4zhYaEYruN4r+cEkeU/q8RrRSlT6tCSd/dbaccywEdreT5JNeDVOHD2E08gmA6SORFIGcLhmOODOjiI8C4u8eo0tfLQMjqmD9KK7wBjv+feJm4Kjoq9TaZI+OiL9FrBWJotnBcj5WhC/S1bQp48dqMw37xVpgXXe4YPXu0J4RCnEqTLeA/vos2WQEvHIMhlbRIZjtGyWgClgFm4RRwjypKHlyq4oI/vKnzOfvf+URMXeyCxl7A65ETioGZ5vSKCyDp4JOxblWO9yiTEZ/x0Bco2p0VRdLOPUYjjim+jj88sEeRzc7O4n3vex+OHj2KN7/5zRgdXZ+Q0m677TZ87GMfQ61Ww1Oe8hQ84xnP6Dx35ZVX4tixY7jxxhvx9a9/HT//8z+Ps2mPeBgLgwGW1szPvk9/NlwBPPcfgCe+UW+0k9OYwioujxcxNRyFna3AJiOwBAqR75zZqNy0TkBIyEV6EMvMuvnDPiMX/7Fn6feyArB7M3DBVphh9nQTSjBCoCCzFmawRFUTgxBPazZJOlxndpWthqet3xmfsY8Ok9MDstC5U8C/GQRcNqhIcwYX/XQSIaVTprQppwKOMeNroTBXWd8S2V+E3VuC5YQBbf/H1cn3TBJ0t6Mn2yPF8MISMLcEnJwHlrSXzVEz4gokQJH2Q0jHrU5+CZiZ05+GAhktM0ZWSjimRUY6VxIXY/9dMBhu1IuVFF9Wl1WQQg/FMScgeDz9kr+A9qJdh8D/U5DGn3/3f3wVvu97MXFMsazVAzpIBigMRg5+CFj+tL7GB7GJg6sAq3mYneMwG5mp+qOfLMUXhdku1C4jHK2j9O670SLgkk5QaIg5veKocFlW37IRZmqTjhLKZzhNDDo3Bm6s/OwcV2Id0k6vONCsMBF5KP7HHJrHK2iz4uM7ybobgbtiB3DtJTAZN07I76ez7CEf8o+vWS51nRWNZElCiuRfSD2tNt4TxGbQ8UvbJKrX+thG/X4JjNM6MijkQK7tRgtHkWEfvscy1LUgqZBwChBX4bQFJKAzXewKgyLidziNkkzBythuRgWCZLyzqPgNR+gl1wMDw6ir1vSIahUYgPdYoScSt+RlKDVgBRukPA1SjeM5Gk3C8Nqjyibj5zliCUhKxlaNG6EUQTANDgxbdgIKpfwx22Nt4NLfgMk8tCR5YD86Y6B2pj8/jP3+7/8+rrrqKtx11134u7/7O6z4Ld0e+/CHP4xrr70W+Xwe8XgcL37xi/GGN2gl27cjR47I677xjW9g27ZtOJtmrPB6nptm5+8AvvY7XUeXiMLSaaaYRbZddueydy5SzGC4KPMxZhJczPIuKGAP0VfN2/rLwP736t/M8v0ysq+nztlsgtyEgvVqYOnb+viKAu7EaROZL4m2qzhwPeLCyG3yx/D4Wi5mdB7cH2ZMooTGUUWKxjhp05Wa4gJWHQCv0MT+2RIu/MQDnWNx/xO3YyoVhdmThkmx953UhZFJiVHddMvtYraajsCwV59IwBJcxWCBDt8XVGEQUrc6ZlZtIrMhg507Rp3IjcquChsbs3v+n98jXDMkTsrBkpjlvlPaPx5OwFAW2TdmucWaVi4EB1IFOP3AYGzRjfvt2KSOoVqFXdObzB6rwbt223pAHA9w9lrg+H9oYMGAwJ9D7386cPSfHZeEw2YQGCg4USrmuQj+1LRmzwPDwNw8sLmn4sTgRaYfXCmYwFC2NVhLZDWJFLdyvEKwDBAJEiSKnd9DauEL9+h75fpz7Z+lVeXHp20nbz+z/4j05uUq5ssolDNJborF7qbctKACPHEPod0DimLnfoRJSOBP0SgngQ+UFGCdIOlzCu4j9e8c8Rl0/OogKZPD9oRHvgo/UOaYK2WlpTzPFoljk5Q3uMoOKXhnT+hrtu9xqpXu4mGFgORK7TYeuP0gCk2L7OZJTG0ZAJKDOo0hAkYU8CJfg9Is27lZ+Xyh4F5ccOexX3AunXt8pSBBmPTi+we0xcTn/HuXVOLs5R/R6+ZAXw67X/GJznHc996nYeckW4VaZbFUM51layCn+YJPoHV4AdggfNAis4yVogsEHHZEwLukaS6q4qmUp/kCfQ7X/ld4l73ktBUrsB+l0cn29fVh+sptyHYqsQ/jc5ptbLz1MNbW1pBlm/L72N133409e/ZIIMCAYO/evdi9e3fn+Xq9jg0bNuDVr3413vSmN8lj//Zv/4YXvehFeOCBB7B9+3asrq6in2JpkpM1BStw0003YXLy7IyYPvIxAs5sebY7JkVGMkZhTbcI0LjIstSYJmPez8M2yjBH/71b1qTVKPIypI5dSpzMcpiFeMDw04EZPytUXXix8ecA859dJ62LU8cdyI9CSZ+U5VS4xJtK1mKJ5Bdgo4Fda0tGKU/4joNlJEHnK4mPHXwqcOLzSoFM51Mo6oKUDsN+a177/swYmW0QTF1rYUve4O5rtqIcssgmQphy884sUxuWrVm65cjacKQ7XUbKZv94PmcChiNOh1ec+lsT2MAskguZkSBg9xu6yoX7/vE52Ml2Lhc7bguJdiIh5QhgX5jZm+MFEBGiiydltJOlZJLxyGhdvqjTDSdLsFzI+5jtW2A5r8EIMzIepxk3/sVonZMQ/Npd1AKgPCzHFRlouVJ09R5gZLRHEW5eqywbrgUGdgD3vU2DNrYxWAnw2Rl9Gx5T1Ts6bB+N7x8jlnuZZfvKdHQcQuq0qPoMdKeFOtqhMMK5nloxs+dyFbhvrzrKDcpvYVfXgBOLOn7Gc8NgiMGSjKUVNGgkrwQld0W1bkj2qX1qAeGL+4G8awXIhIjrtRPTEKIMsCMako1ilcpRYbNKVVrV9gPvj5F+IJVx4Ez23pMy9kpWQLO27ASdoiLJKxMknDxg9s1eN49hLKvnmWVznguW5ZfngVHXY6dTr5dVpIetu+Go8ixMZnX7ju7XKRkGZxF/FMYBY/tiKorE4JJZvtyLYUej7Vo6DLJYVeC2+W0hf/pAyKWIIfFgdiv2YOdiEXvfcj0KR/PIbkhiKsFWFoN0BZSKlsUYOScqglURTA6v592kLKfkcxN2fllpz1dqsKd4vJXbg6BQoSU+ptU5Oxpx7YQIMDT1vZazwB6B44N5Tvb0WCwWk5/T7ZJLLvmen8dJgMXFRQED+va85z0PqVQKn/nMZ/Cbv/mbeOtb3yo4gUsvvVQCilAohBFWO8+SPWIDAVvsOgNUF2Bv+UNZkE3PXH/7tlV4lAV21lmKb3mfLtrMfE+PFJs9fT7axb8ELH4JmHfKdJIpEAjoMpyF/9CHKRvs670Lo1lLxobsx05oKfBnNsK4LEvkfmkElw2z1NnTAqAJEY7K9PJz8bX363dsGdZMh31JPscHOcZ0kYtS6RSPlGAXdQRueyKCRqmFxVmD8sYWIv0hRMc4jqb9YAmKOqC+0w7wdFEnCzrHhcAyDzjEm8Fgba68vqRKWWDK/3IRJxiPr/VL9qThndzsaJoLbqSQFQNm0lYqBTKnTQEmiiqJ9ntL+ABE0Y+LKdsivSZSu37J2uj0g4yUOdphOu0kMzano+Cz7fljho0VmIGLYbf+Iuyd75RzZtLiKdR5sqzNcrJkcNymGiyz4LkFaQtZIuLZN37MBYqWP0YhmkXgmC4Wlv19FoqyUSWkW112Fx+PY1h07C0pgDml4CoCMr64dUwrKwQJikNigKHns3P9cfERrYUoMDtHcuLOnLvYgHOqEtA6tUWCPwnu5LUnI/4ENDqRIcHHLMBK8KTVLaneCJCSbJhJdbTUeigosZKMP/YWCzk5k+yHEc0Hbh+VNEcUv1PvaSdwasGX9hUCrzLMJU7um9UckgkRe5BIA9uHXYDt6TgwjwP3k/uQokZCT9uIFYfeY8BAQnABcYAqjPwPiY54n3KMj8Gfs127+mCnWM0pS2XNurjRMHgV7IMBhgcFgyMjqQzK+ILLngiTSMN+50uwMyvAvT37ORRBe39Z7n15LbE8DPDYduFUQeI0ts3AHvG2cWMPrw2AN77xjZ2M/oexAwcOyO+tW7uy05FIRKoEBw8qZfcf/MEf4G//9m/x+c9/XoCC3/rWtxDtbamej4EAlQdp1BugtWduB77LE8DFMwHLheHuGddH7fYdvcv7YQlIqjM6px55XUfRhP3P9R07s+WOiIV3LW/+LT8PnPiEzvP7Dn5mERgZAA69T7NT2biQivJUSKXrHPLmZwAHPqWZ2WBEJ52Wak4kiKC300lfyED3M8CiYzL0HRkX5l5j5tVwqHi+i372oj6lFaax3SCLt5EAQP6OGGx5guMCkIPH0j9bA25E0MUg7GHax5PBTUe/ZEyKfzAL4+tycQ0GRIrXInxfaX1/lxlt2CqpDxd0Vy3vENgwK+OURNsR7vCY06HV69ouOeGqEaeqMj7HYyTBxBgjbpaxyX3gxtLIzU/EtR8ILBaBwZRUFMQ2TLhs0AIDTwSWPr/+OPLYk22Sipe3/kW3K8zzyzL8RgdY89HgrKTT2TM7rpKwaBFmbQHgtMjJacWEdC4618M+HdsvQRFbFS4wrVZ0+xnosRJEPgFiSkhHXGprC4v74ANAmQEz+xbxpB5qa/b6WV2QEUBOhDCjDXXFoDpANl775e41RbAnAwQZ4wwD4xPSLpPRUu6r3AccT3QiUP6+8Nrz5/IZ+Pg8EzFOBNRhT9fp6NsKLD+g0t1si/D7WC3zLcvqmnsHt3fc9cxnOTlSVs4MmohXOVIqua5YKckohiObgyEng/T1U7DLxxVrcnIZ2LVFcRR6cvT9PtMgv4/rglwqFuiPqez30UUJ0i1pheFadjyn04uwV/4CTOHDPedUvhU4sD5bxKkazKaE3ld8L/VR+Jb5mtKeM7AK7Cc4NXAG44Oe/p6enl7XGnioasAPYpVKRd5L599r/Owyq2jSTQxJ64A/P4yxffGRj3wEX/jCF7B//34UCgUMDQ0J+PA5z3kOnvWsZ8lnn3OBAIOA9m//rPztvfVjAEvsn/s/+mTEE+W4jqociVVYHk1QbtVtupvblTl3Y2E3vxgIZ2G+8XZdBIgH2PMLwH0kJqKKmIqNYO8Huos2e8Rzy90ZZxlJqmiGGSUSP9kNApj5tW5UBD9Lx4/pVyIcGS7QXryWaR0dMG3HK4BoBujv6zKcMUssFZ2cMZXfqp2KgizES0vKVNibKZPNLBWCN5FAIuGhudZAZPi0i5XOlGXLrVEdn3OOX7IU0vvSCfOYMFvc1G2TmPllnUd3dtnLN+NmqgZemETf7j5MTfQs6L0mIEt/HJMocC33WindhnQckWVXmgQcenMcuHcFxaZFxmthajihwi48domwLqxUSCSwjaj6IYeuJxOctHGuBxr3q3PN8xhG1pPaEMG++DEg2jO/HY3CbtsBY1wPWx5zVR9iP2QapAdE6dtaSQMQ/zTQcUkQRkcVVmfm2+nVJ/bvGSWmkrCsQuRXYfeuoNGyiOykk+NcvTvn5EtIxfV88JjxWLO9Q2roYSU6MikXnJXysOkLYOJz6qiXl7T6wv54z9eLBPPwaDdQm52BYdYj10NOlCFl/I8YAn+MlVmyD77kNUKnzmxcRjBZLWMLp3cnec6GgPhlQP1jOm7nyIv4nDfsJnP4XlcF02CBlYFDStrlj1ry+mAAkMh2p26EM6S7TIl4UbminA0kcJLjtaZYAVYLeX/xHPJ4+rbrZcC9H6L2tO47jzlfs+COvYyGNoCN/bD3fVjwLjT7wO2CA7BfOAaQ92FnqlsV6DnQbCf4xROv0kIrdy0ip003BfYIHh/0uo76B8EIfD/jZ3BSoFqtClDQN4IKH+7nk3zoj/7oj/CXf/mXMqHwuMc9Di94wQuk3cDPvffee/Hyl79cPp/Vhl/4BSfod64EAj/QWZpl6dOVAllGJjQgx2CACxXLzVpabdcsmv/wF/K28CUJmNYa7FN/Fbjv/+msto/CpvWWPUXAhQsdx6IK3T4vMyxmVb7crmyPqzCQE8BwQ3pq7kQc0xi8yP8pgRwCDr+vq08gQUDLUe7q/LtsEZMwovSZPTOJY9neuEWGvXsqBxab0ke1dJzfXkaU7dq6qwCIdr1zRsyuCVzzJw9YWuZxE+VFZpQcPYso6ZLo2BPZbkTL3l4aFxU2jrtd9pRRhLgA7tB+vJSyZf67ouA6OiH2ov1pAHd8hIhpZQVmYkD4CEytCZtqA7PlDv/Bnvfc2zls+95wBaaYrfnnxS8Bs8xLZ8vvJH4i16d9/tZ+RzpjgQ/+Gezjp2BIyESwGZ3vRioLVoHmN3QCgfPiLUc33Ksn71ulIloHCjRb1JaBZOQkxlmDIWw8HoHluaZjIh6DSoXM+HkMuc3Li+rkJNBz4EBfC6FRlwqM7NXtKwizpTREcZ7uaKQYe/ckwLrn40CKFQPVuO840l47/k1Fs+eGYOIOm1JrAAcoZUx1yAbseKr7+czW2QLwj/HSUXXunPYg8t//DlYE/F6pVB+Y3TJb57ipB8OggNS77brgJYwtqPhQ+buwfrCw42Wdlpq0igS4SB4DghZJwMRZfodHmT8BjEzq/cVzMHo9YE9pYFfjCCAdfV6rA74NDMCEWNXgtUjq65xyhjQ3Aqv3P3gNmfksEErAtkt62qVa6Ot2rD+ukllyooPg4cOUV+Y94sFcN6ytPL6HSQDvRZ7DnvcrR5VBaOabaN/1YXiXBmDB89EuvPBC+U2ioMsvv7zjyI8fP9557oe13/qt3xIQ4le+8hUBKD6UNRoNwSC85S1vkWoEwYnnTCDAdoBUAnpaA/jZ96kICReAzBjs8ing3/+3q8Y6spz5Miw56UWlzpW0Kz03NW9YOpRbXP99MAkslzUYeN7bdDFgRkSBIMlWXMrn+3VmWL1iIr7RUbP3S0ARx67oYP2yVIdExq8sCHVcz86yZ9tSOmHZRvZnu0/bE/PALDlQAduXUF76XMrRqnqamRaaMLUWQlsSwGGnM8A+OzUAhOc+KmhnmZqQD3LyzDGOQamqnBlw2b2UqfgezoO72WkCnVhmjoUQumpQGQydhoFlZsbMXV7os9XJl3R3gjzxlACmk6RzpNFxstXC2e5mC8UT69sOBYognSzD3vBSmKOf1sWYDpfjoXwfAw6fMMjnfuC3fueAjhcOpCVzM6PjOuLWawTf7fpFIElSogbQv1ODt9IRYPnfu+fJCdpIhYbTE0cX0F5toF2qoV21COXC8FiJIvUvg5lj96CwcRzZXBJTBMLxu0m0w+iLCHNu30DcHStPs1GWpZ0tfmwewy8dA4iQ5/5wHJVZbd924AbiYZaBeXdfEFBKz9UDZjxwqoT8Ug2Z4yex64Vu9IhAUSdWZI/X1IH772H1gceQ1x8rIFK5YWCTVGct0wXUd+hXwiyaiBsNaQuBoEBiA/zzzf1kO6CXRIfXB6ssxW+5e6GtkxbEFwhttas6nG7tjAYmvE5WbwVSJPXixI/TyWhUYStsLdEJc/yUVcEBpVWWSReHw1m8253ztGIQBp8D3PZXWl1jC2R/QeS8vSucpgaHB6pNbZMVGTiyCtjWIIDXHBU4CejdNabjjPwm154ToCvXl1BX5Eu2d5Tqo56MpNodPyWsooGdX2IDV1xxBaampvBXf/VXeO97dfrs3e9+t5Tsn/vc5z6sz3z729+u47ffw+j8f+ZnfkZ+GHj8MHbWA4F1AYD//9NUukx2A+wvfhC2MAt89rX6IBcgzvsSnCPCMS2YZBvh6/uAC54Bc+I0aeHhG4B5XfhttQxz0x9rVpBwrYUmJwh6rgk6TR+ljXn9Di5uvgob5XvZZ+QCQMDZ9X+gqntf/71uYMAsWUbNfOdkYdcq3TGlu6mEuAQ8ZlQpa/3xPRrljNkmCUdgWAolHkEOBqcdjHAB2d2UQG3A7GKWbLW3zhHBahu2L63VBGmZ+IGKU+pjmZjtDhlPc6NXHHfLuDKWT55DMh9yMdA58lByBn+Ecrh01G60TJxK9zjL9/FxAQr6D6rcMTbo52cW13MgZJqezm0f/LTKwfa7zJVgQH4PnQiZAkkMJTFWRIB35qIxIKlOUNogUrGgLv2SzvC7Y478V4GyGwvre61ud2Iz0P8c4IG/7/bWRa+e3iGM1l1LaNyRF5KYKLebIHgGY1sSOLBYwe4/v6Oz/fv/6omYmkgpxwGPLRnouL8M4HiLsc3Eqgsz9BemYP/lGIZfdinMyqxWegb7HL+/Be7/a52tv/S1GnTKeYjCsLVBeeRKTYKA3f/zm93vv24IOzgO2ttG4jgcAzLfZJTWjRQKaITObFgdpA86lPtqCxDbqw6YJSdWVvKkFWbFhCI+bFO488eSPAOHznewL94bjDPg5PhkzY3hObIq31htIJdDc04naPi33HsVV/KnIJaO4Xb0Qnyw8Oop1fuYngX6T0Nbs1rEALLEKR06iRAM6aofPyJtQ1S6YEYJOsleSedNemXZbseKWSzLdrHNZcstrdIx6JYnWUVjlc+NBvvmKJeNjzEK7JxpDfygRoDfxz/+cSws6IgrAYUcBXzZy16Gxz/+8bLekmzo2c9+towLcsTxy1/+Mv7mb/7mYU8GfL8g4HRLC+HaORYI/CBm+iflp/3TbwO+9bv6GGlEeXOK0IeWxA3Xkrs+A+t60cbPyI+5UiXNoZEJQiQgT5D703pS7VgKho6IZc52radv3AYu/DVg33s0GGAZ1ueptuooqX8uj2V6+vbs8c4uwX5nEd7TN8DkErBzTQUAGjpSX7mPqn09V+R8HnbzgCjySUYeD8MSDyBUyezFszLAuX0qCLrFV2bzua3q8G3NtU0IBOR2EZBG+l6WaH2edVko3Z1E6lSqHvrH3K/A8IdZFjEOdKJcsOn82T9m60R4EpxKIhf307M+9n1JVORsansGe//HpSjM1ZHpj2DHGJ22e4/PxiY67syuWKEgINSV1w8cFcyBffzVKi3sb2vIve4IEbtWWwL+uBkd6ti4K+HfDhz+5+53MCumE15dVYIoEsjM19DMn4YVkHOp21jwgzJnBVaF5HkRiADGVaLXdPr8SmYl1QbPwjxzHKaxpAEXp1NYCai5aodfheK1t/M3FUB3/B+7wlYZD4VQjzMVDiBWbSpaRRl04k+naQrIOZdz2QQGxnSb6NhrmumKgyeoMLSmI4ISvJWVD4C4AVq2X4PxuHOYbA+Ul4GIf81wG+NArQCknExxk5/JICQETO/t0lP7QE0ee3d81hmrgVzMfEVDVql8JUSha+aUhquS3HU7sH2rCEHZBw4AnmOVrLs2wTWvAe56pz5G0OkRt8+8nnxJagpySS/NwhIseqqhvB4MCkirvOKqJOQdEJItJg7EPKwHqgkAkffANW8MqgGPUhsdHcVll10mfz/1qU/tPE66YN+uu+46HDp0CF/60pcEL8DqALkCfhQaBclkErt27ZL/k4yI0whnSkh0zgQCvnnjl8Ne/Rrg5rep6+BomiCv6VBbmpWzTbBIFHULluj5mTLM1YNAP4FiTeBbfwZ75auAu98n4EP2ATu3Mol8SJgz8SyYpX+RhyR7Z1YR5Yk+bcXimkYq4C+8Xpxh/e4S4k8f69ngkJYTr+6R+KW/JxPZaht42gthyl93BCucf0+pEh0XGyGE6cEgCNCPDuMhSmGskIx2GfkMqwJS/jVK2kOyIVYm+lNdvv6OAAvR+0ktr5PAh9kMv5+OwWViHYy8KLYtdwFtdLjsnTJ788fRWGGgA2dWLhwDJeEOwKCP5jaYosPiKNqWpDpM4iuYNe95OTD3yR5RHVem8YOLbWPAPopRzatiYdpFykSXi1iOex3/FkdDKl+/dJ4HZlgV4upNEJrL5gSM6sEen4WlyuLBZaDYks3j9xYPFMWnNcpt9A2EkWGlpscyPjaEPAGDA0DROU6i830AKjcrQSnlNR03pXUwBA1gmI6TokvPBWY+BRz8W33N7v+hx5OVFmiwlXFkTJ3v56QMW0I+DkWIhlx1hPs/thWY52SOVUwHy+s8t+uy9xhMOLFe4yA/353Rd9eVBCYVjuYxIya2gNm3Y1CU2CoMm7oYKN2pH8/X8NzVXDuI1wodbIs8BU4ESECEpwWP3D5hLCSehngBTlT48/9Oq8ERccm1yIkGgl2n88rfwQqT/1mNZWCSo2FtmUBA3yAsA7879wHL7jMSIe3/s4JHHgVe/6eo3lgBqNjZ4+wfOFGUYDA7ksDUZHo9SJR8HFf+MszIY9bvT2CPXNEh74d7L4MAPxD4XjYwMIAXvvCF+FEZ+/9kKNyxY4eAAV/zmtcIsyGpi8+7QEBs6AJXwmWZvgLctaYAvUIL9sI0kDTAHB1BGHjSa4G/eAPsNxdgfunXgb0fko8wd70P1u+jHywCvpALkfLxOnDrP0v2pgsPAWwsOc8CF7O0bGH//f+od7zmV4AHPiCOl4tF7PE5tOcrytS2/WnA3NeU511Ihpwj99c8AuSWb9SSs2RxMVhhPyxKa8L4IkEdSDLlU+Pa62fWz8DgNLCTVg/iQMLAFEuwF78CeOAjHQKcznczU/YzWC6y7A/3kDMJdasjC5JSKwFvvipdR4zGwjLTH7gGOHmjguvInZR1ZXlK9Io+u5IUiQgSqxpj1ICvSb/2QXbPPwJjPeN6/P7ecRge881DMKx8cN8pGe07GLYYKM5EvETcA3KZ7mgobfxZwMnPKrmOjDcmOlWN9oHjwN3sOVvlutkYQ4sBWduiVVW2uMyFKYT6o5iKGOx701UoVFvItEPYwf3mcadjYvleTxawsKKOntwGLBnPz3f1DbgjubRDyTuMAI29716rLulMvARL7L9XMTWcwv5/fAYKKyWk221MsURNZzRCpxQGhnrKj3SavjPneTh2EthOAqUKMNKTobD1Yh3FL0vuBOoRF1Atwy4uOw4NfgczcgeGJLgvPQzEHOCVLQDuT/2Q+243PSMjfdSIiMln2hNFmImolNwNmRq5vdw3Bkl+yMnrkddbea0r0CToSEeY5AeIo4N6joXwyY1wMqiIJZS+msfm3g/AyISBC1IT/Trt0XvrsAVGESE/cMslYedKsAQpVzjRo3Zgvow9f9ptC+1989XYNeXIj/gispoO73zwdR3Y+QIR+LHZpz71Kbz2ta/F7/7u/8/ed4BHdpVnv2eKpJFmRr2upK3aaq97weAKphN6CaGkUAKEnxICBEJPAqGEYiD03iEhYAzGNqbaGPe+vWvV+xTNaMr5n/f7zpm5kk3ipcXrne9BeCVNuXNndL/2ln/Cq1/9anzwgwqM/0PE8VkIpAso33AEZnOz+sOLTa0FuuqAc18Cs2otEGqAae+D6RpE+Z1dwNVvAm79inbT7BicE6GdygILJdjDOZi1TeoAeJB6+2WY1jqU6TtO21iK+aQ+rN3rEz4FPO7dwLVvAW7/ogKHKCYiHTHR+gQ4lYGdV+pFnh+0gUuB/cp3N+w+0q4omEvDtjXpTpEdOcfELDxk1eFeLx+L4RK1TD347Vl/Dtz6LcUjcvzP6QMfxwtTcLc8drkC6sQWdklBUCwCghxxdkD7xoHVRMLTGpgX9SXY4lIVGBgEejkZW6EINkVhr7sSoQ3usejUJ6hyB8LjOJtj6o3NKmDE888H7GxUkJZMQugYGao6+XESIjgEekU4q2ayPrh39z4F7ljsYl4HBnM52JsnpDgy9SHYS9Zq8vKURr6oiR/r1IH5Qlr8PCylbLk+CYorMYfR4+HkOLL3ZpF8YY9gNMKtUc0dw4sY4mOfpqNAReyzgKQzXyoAHq0DNm1U8BsBedwp8lg4lWICY7CoS2WBbodhaOgAtr9LLZg5Zs+6rpxrBermH9ax9oZ+ylWXYeeXdJIzVwD6VPZ22XWN4kBtq2D71gH7dut7G1mrY3NOCVoJsORaSNdaMvZnYci1FUPoftR4IN21DLNqnfPqcAp9xAk0NMPKRIGrjSJMKAwb4lpH/Q5McVHPW0MMdn4Gpr9BJzlM6HSbnD8ArB0AEs1V2iATdsaJAvFcM4nz8yQuoYvVn9NYafiITGIEEHvKoHxuTDIBe8UtQH89DNkXpFiu26xv1tg+mGQS9pytwBhBmdP6GRX8DQGPTqWTq5sVkwoWf8u+v3MB5f6E/E1XpoUri/Na1OIPEJlMRjr/UCgkNMIXvOAFshoImhmdWIUAKU+zSyr3eZgqgJQ8jcDkQjCnPlKSfzBM1ypKE+k3gicwwLl/C/zsMlWRY0HBvMx1AjuCae14C7NLKNwwj0hvDJGtcUGNEzlvFkZhkj2qNV4C9hycRTpflhExQWNqf8tndEmPz3nAKReuDCb5hRxsh3ZVcsHl5HrjU4G933WiQNy9hoDtfw40rQJu/pAACc3ElbCiM0+anXMd9MgX/pccf1HiKynwTpJQQEZXqJEUAgorZYrhOy0ex/6M0hB7G7TQ8SN67zpYsV9bIVvISUF7D7D3gLIOklxLhMVTngBMMi7kZvJ8ZC+UYLsoRcuLsBv7yuOyu/OPHQKOTmsx098Fy/XPIcpO06GRkr5FYEMTyjcvINRoEKId73RWEwVH4e4hBE/R2KzHOHYU2K9dOvXtbb3DamxvAfpa5OZN5xqEyNuXnTkLwhDMya4DZBCnIueSiaskpoQyuRFWisMnsEZqTADrtgB33aFcex9cm4gbZFlXCWNfAbr/Aqhrhanv0ucVPQKeh0ASmnOmRI0R2LvnUVwoINLDdYtYDKoQERMmJyWTVPKLAWvXuPeY4lirgfFDFYfJCldfqJKNKm7V3K0riboGWOJYiMQnHqB1g3b/0zudVfRRoKmnur+nvLf7e+NazZJ6yIlahFM3R3XlOaJVNUGCUmw4Qy4JpzeAAPJZ8BbZ5V4TQVYP/24J4OXxj83CHjwMEBoznYfdwglS4NwJe6Kogk/JCGy0Bei9AFgkpdW9byyCuXa8elSdBE9vlmKwcfdyNLb81fIzLV4LFnZiCWi8rxNdLR46q4H/qzj77LOX4Qw+85nP4CUveQn6+vpO0EJAdq9MBNmqHvmT3wyz+pT7FAEMggzxF19QoNOPnFgRXcEkxygQTy5E6YIC7FykfjYHkyuh7nyKCjE5ylUO9tuvAx77BrnNntE0Nv/jdZX77HzH2Rgifc/bIQd1BjhR5fOws/VNAy+Kbppg2drPEHHOnfs3qshjWu+S2sY1QvypVdVEFgAERRJ5zjVBhxMI4kU0lVLWAhHRHEHzZxW6n4ugMt3mfhhHhaqcty0dokFfueI6fXbt2krS+ZW5n167AtHK5DE9WgEpWnaOCcdp501HppXlwWkCE0OjgWlrc0I3wf03vd+drgOVGRe+LUlUTHoyc2rl2xYD5tjB6h90+NlDsAeqZj3qBBgIdqFp12kGbG4l2iNAV1KEl7wpkuF7k1lQoB9XGS00yQkUU5LUqC3gOOlummE5ImY3yYkD1wWDjwJCk8DQOmC+ilpHL0GMrlDjWJ3HtP/jKpa05kUKtBNlQ5oyTcF20/ug5AooLd4sC2H+PbjCtPJ+MaHLuNqt0Sqn1RWoxHBkuMooAbT8ZnAlIJ85N0ovpIC6Hje94RSF7IEGTeqxdgX1ca9OGfAI1Qv9RZUAWj+9cU6Ohw/A9GqSlIKX1NjOTvdeBLU9SO+cW/73TpGoxg49Pp5XHjdpgaS+EgTLQkckrrnyaFDmxpR7n1i/8nO24271nqeyJIPvSy6nINSDPwU6umEJUEy0AyMHlBFA8ahcCeXrZmC2x7GxPioeH6lSGYlwCBua62D3ZGDjdToVeMxrYNqXS9XW4o8c7uP8e93/OAh6FASDksRkJ/wh4rgsBJjsQ2/7Lsojw3JRC/WtgukcfECsA/vsL1UoivZ5y0+iHR0G/o3e9Pp9at6itS+KsCgZemlZNjVl4Jp3EyWGBToDBmJhKicjYtkJc08tFadXP6T2POVs2RUxATa4ZGQFD2C5k/WUMTanvE2wWmVXte8bapkqt1HRIaE2MtmTBkd5Venc5UCrXRYTIPf0Xn41noDdO6ZOcFsHYYjW9xgAOVhXaFS6flcIrHsecOt/aFKoIzizLNMJUQPkWN497TLltZVMKqGrsQNmsmSBtSIh+0OYmVEeN/+9/7/UGlrG/aTi9QKt2vGyMBBwF3fOvE2nA0HKk9/PA7v3g6/ZEshJzMfdczCbmmFidcDWFwJjzrHupFcDq9Xgyuz7slOmCxQCpDGyAPPHfM9BHWF3tgF0GuT7y6S287vqX8D1DY2MmOC7NgFj9+gdZyeB1k49bL5mvsaJb7gHda6TY5NaHIq9At8PsmTCCJ/SKtshEfQJu/fY04ci9TDxHlge85IDMRo30uekgdoHgldwCpR8pHoqYFKjohSYFDgvBwr9TN4FNNKam5iEgB+EHDzZCHzPXAG5xMchXbMJOPkMYGy/ro5W6j1Ice8Euohxaelwn1lKLlO4h4BAV9hR9EvIBGSF5FQ9kV08J1XEAvDZB6kPdocT0aJ+rBaHln/HVB3saIUh62HWsS1msqrvwekdcR18vQS0nq4MCdPbCEOQpwlhI/Ul8haLiyX1BmEhweI3EZW1VC0e2vTBB0uUy2VMT0+LeVEwSGUMKho+ZAsBXwyE76f7/1/vF9AokElBMHIlWGtQmM5jYXcWgw93NKmjeWB7Q3VXz+TBcfbRFBK3LPeiTiyUgNvnYXekYE5NVneNTFBkUTnxEbtkYK8aRuhiN0bk+JRjdB9FTgWcZbAflTPZET9QeQHs+up1NeJDLpJ6m/ItU9Kthc7wdEbiDihlS+/2euDSvwZu+zAM99dZ2ua+HLjpw3r/C96lym07PuL28l6X/RTgnLcC2VFg56fdaNgVEFR3E4XD5cmdincm6B5MER3q1JK7T3odO212/guLsOxCWdTwTLErZnfPnfoZm/T2c86e1ud4X6AQZ8CRO8/V2sGq1CyTA8fuLHKYWESv3okisaggSG06A7O2Wel8fCzy6ydcMiiFgF9+QJPDYJf+/uRXACPf0veMO2UPMONzszNta1T9heQaoOPRwK4v6+9v2ievxZ67HobGQcsx+lUjoTLfz3L1KkVsAI1MKMubjKndcbQelsVbVgtRYc4ME1QI2Jb2yvrF/4VzdG05caASn4z/yf8vVXUADt+rCXpgiyZywQEEgiZDQjEdd8I7ymAIEOccsPN+rqqeoeDrU1lprNDib6b0MTvwCecGSayFo+hxHeGPZ5bTpILiU1rUOljxBGmHMQg8LXUUCHb0xbU/TjJc9o3CEqzLqRgngfwVC1n+jc1Qv4BrizDMGmJqeJ4oBlaGaYmg2BTB1PASVj2MAFuglC4iUqfKpQi5z1YtavFHCioMvuxlL8NXvvIV+ffK+PKXv/wQlBj+E4bpWQ28+jLk/99fo0R+/2+9oeM150oYitdjxyPXI7U1jkTJYigcQWk4Vz25vCpQBvjkpwC7VClO9MuZ5Cn+w3Da+pUQCdgloJkdVRG2o0nH4Wyt1z3L8eAtsPHPgUOOahe8r+Noh7Y533Uf9L/mhdVdqkzPycClnwCy40Bjl+Yer33f0AnM73Judiw4GoBNr1FQ2a/f7kR52CEFJiUCIeAKgnKvFjgwr0XBqiZYuu1R5Y+x5fnAPsflDwaTCJPJwTlgdXOVzslEKCAuJtkeTWaSMGkk0yIMEo7NkcnBNsWqSZ7BwmdiSjUTmLycLbUc5+5ZoJ1rAL6OMNDbofdjkmextOEVQDggmOOLIRYcTPgF/31U7apTv4I5ox1ovgiYvUYnNveqsiV6HgMUv6qfnVVPBjLXANN79HU1tgNzFO1hBxwG2i4FSlkgfaM+Bh+/r0t35H5KRDprmTbGMcURcEVDx0jh2FPF0L0nrXWwTK68DbE1ZDYku5bp90sQuU8sRHpOcSQxummOaofOY6ZrIN9XRn2r0gQ9fc8HQYGU6RbkvvOFkM+fsxuen9BTyNfE6QXvz6Kjfb3oQFgWGKJJwIKITAC1+sYiJxlu7TI7C8v3lM8z0K3FyOgo9oznkIouIhGfw1AfBbYoz+zWXzKBcKsb/s1JrcLvyzL+L88UsXjlOJr498Joi8JQVtv/SXHqR/VLUnIXi2joa0B/Lz/j+vvIljgwk4NNLwF9970w1+KPG1zb/V4YAXN8lW7UJPj5z3+Ob37zmxXw4P/kovhAolYIBMLOHkFoVTvi//F5NBwawdIX3wXTYBDdkhCg0OKvZtBwUgKhnibYhnqk750RhWAWA3T7M50NKN40i9m7tXtpXRtDhJKjjFu/rV0Fu5wMd6CqAli+/CjM+R0yJeCHWS7fFIjhuDrP0S+7M7rEuW5VDtQl6wPfUZAax53sftgBk0HBm0lH7pIBOyImHC/5u+1vgORavVhz7JpwO1NOGy75Z6ChC6C97K/e656P0qkdwMTdmsBJu6fbYqYIkwyr1PPgU4C93wPmc0CfQ2B74Z2xRZhTu/X4B54K3MxJgi98mGSWqk51PD/0deeomRfxoV6gnTtqJrdJNX+idgH3u4IVSCsgkDzxsoGZHq/u/z3NkdgHoaa5gbVcNJym/FQJ9rR1WmgJ8NILB7m1SigDPPZd0unJ9/s+Chz5qrIr/BqG4/SFX7oZI6lrLVpY+Jkji8Z7vg3TG4Pd/kLgN58BTnLAPaEFUkFxPVDgMRLf8StgZkxBjeOHqwA3mmTx/Ihcr5sYzM6okmPM6PuwUtWu+Xwg+2sHyPOTC2oOcOLBaQNxNiy0qGsxowj+RQtzWiYg7OQmY9lpXU95x8lIA2xmtLoGkOQtQBjBEIgJWJBtQsyCmHbx95xk0SxDwYpSBBQcEI9JnOp//GzqG6LPycJz01aY/Xt0EpZTJ8t7f3MUJ739hspL3vVxp/RI5sBSXt+G9hjsGGm5FMdSQKppb0HxrhEturMl7JnJIbVUQqJUh42bAwWgnP86wR9U2C085vUx9RwgPofMIxYZd7wVdmA7TPfvLx5TiwcWJwp90Ac9DF772teKlPAfKmqFQKAIsF/6C/m3rN1f8FXgrO/L9+WpEWRe/TewC3ngLEWcc00QP6MF2OEuXvsXYQksE/CYA+wdXgK6yGdWe1XDLsa57hru1S/tkYuloeZAUJ3Od9gciXPMTLwBn3PTi4FbPuJUCF0y8Mp4TIh+BCrjWVsVl+no1Iur00vHwW9Vd8giE+x23uRWk0++8aWCgSCSvnIRH58CJj4vF0TRMWCxQuAk6X0cVe//rnbZ3LGOpIFHvRHmgs2aaGwW2E9PhxKw8FNN4JySJFuUwnjI8c4r1EjtQkX7gGYz7I4riW+68vp4HJ5KWXnjEi1uzUKwJDXql6QgMfUGu/fNI7VYQiJXxBDVH1moJGMwxCsQn8EEyiKDL7njscAR6oQ7HQUBAD62uqaR8+wTrqP+dT0ZGP2OfnU+Fdj1WZ1iLDjWAgGWR74l+dfedQA493kwdfsVL8EVRuJiIHVjdd6+zBjL3aapWbtzJtCAsqKAKFc5IyiuMfzI8OB/OltmWlM7dDHFfcRZM+Y8AWiwRUGmgsJL4oGxvT/v8jmjNHWHJGXLcT+Pk86DZBBIEEOg8ts8RinkyN7wNFIWYG3teuX1K4nYycDMz/X1NHg3UFXT/K1BTAadHMsWxasPYOyHw/ev9LgCImL6W2BnM1pksj7hSod7/r4Y9qbHcPpndlduu7Mjho0UC5ICR6dexBeQ/YJ+ncoYsjTkHKdlOlji8y6WUbrxOtQ9qVYI1OKPE+vXr8fw8PLP/O8btULgfwjPQCAWofGDnwWueANCdPojTenIIizH30HTlYkcwtsSaB2MA/ekEGayz5RQ+hUNU4DwIztESEVAe5kCQt6LPRhMbOxYRL7Y8cwZLA4EpCb+xsDGvwJu+6QTgFmxxvAyxH7HKo9LQGGbo7Txwl3VohbuOQ+FnRptd2/+sCY+jjr580bnkiccbk4r3OPzop9S0yXb2aQOjxybM4l3boOJV2kttul1mlh5HOe9Q4uCQ59W+uLq9Zos5Pln3a7cleqcFjjp16pWPrtLB7RcORIkEn73PqG/Wc5uj6SlONm1O4Utn76zeqF/81kYGogDD78QmNmrP2QCE9VAGtj8cBnK0dJK+er3AI9wYjF8bp+oe58CRNt1wuJzN3/PL6o5ErNA+h0VBzs7gC6K3BwErv0s7AVniyeE0kxv0vd5btThGRylTnTtHbiOAjssCLwWP//Ngkr8Ing+QlXBHU8N5c/IIvHmSkfc6x3YoEI/7OQ5oSEAM53W/n5uFoY6DkzOskZgheAMf+L9MNQIyOvnWoCiIvjjClP5rC7o8fD9OnxAn2fNOp0KBK2eqUAoH/bA+8hR/sIc0OaEkVZKVmfTAowl2t9sbkHjN93UxEVioAfobQNaOmHHR2E4SdIn0UJ20RXSE3MINYcRaq1D4eIO4CaqL2qk6N44SZfNBpieJOz4AgxphIssyBwF0gfXfNzO7MqiIR4GPvZOLHUOou7cRyw/7lr8UeJEoQ/6eOlLX4qLL74Y/f39uOCCC+4DDOzp6Xnoeg38scO0DgCcArAbiTbq94GIbDsX5eQHgCveWAFykUlgmdipPkZTEnHNCyGSiMI289SyI/Jo7EB7whG8XNwc15q7/j3f0qQvwCQnuRoNwTA5rXsRcPvHgTs+rvc/7dXaifHqIx09teaZHN3bSU2BrS8Dbv0IQHGjCu2daPvHA/v/G/bQBOzVh/X5ePF+5tYKQ0AoYI9/LyxXATd+EUgvKfjaGhi+VpGMLQN9MRXjqWgX0AzJAOe8Q/NGZqSit26SW2GHeO4AU9cJmyd/v6xTCp43jr4lmbjRMJPI4OOA2es1QXNvzbGs68hLR6eweOUwmi4h172kPvUtTqSHFL3b76xoEFA6dsFZIPtI8Xyd+iSYaBV8KLdveTgwRcMqdsZnAzPXawKQH5Rhb9oPPPb/wWR+Uk1SUz9Wmp0PytdOfAo4+XVAKQWMfksxBX0XA7O/clMfFgkRGOrysy7jqiHqOvTVLwCKKWDiB0Cze/Mc0HFZtHYDqWm9DxMppwFLOS04eJ6YcIMqkFMjQiWsXPZkJ09EPv06CrJ/l4hGlVJHCh7SMJ1FBVDy+Bjz+2Cb18NQ1pevn+uB5Cp3Dl0RwuRIRUR/XvlzH0IndGqJFE3i5yC2UX0geF5oc83/UkaanwvBobifkxkTKCQiXfU4863bcc/YGizGwkjEwhha3SpFkCWmYscBBVV2xvXvk8fW0gCMzurgiR0+4TOkHAYiEY8qDZG+I+LSyCkfi1wWeBagFTiLdkpnt0RQ4qrPF/Y1PaE/bfCS8Psg/0M47tgCxDW84hWvuN/f18CCv2esTP73+X1DF+yFb1EEc7xDdtaGiHJ+kNitc+zPPeHFL4a55XPK7a4zCF/QLqIkhihlapczTn0asP8HKE4vwV71aUQ66nQUzz1vNKwgKK9256cCPnY4HXriAOSi44oKrhLo886EyvGxV/ejVDCTNUVi5hWwiIHnAmNq3iTBC/dZf6ePGdXkY3Z9A2iuR3k8B/xyErYpDFxMUCFNfZgQaARDXXvSK72EMYGPo8DN/6zfXnhZtRhgAZCbkC8sHnCGMzk9TnaAstdX22N5nHvcsWaJ6i4DXS0wzvUw3BRC/Ok6sSkdmUJ4ba/a0nJ0TmW7U14A3PVFoC8OM55GcrBxRdcYByZ+Ctu4EeiiCRCT4RIwfnVVX2Dq58Av9sI+580wlNbNf0qPuXC9c9pjOHCcp8MxqXoRJN529D8duI/d743A+IxaWPNuTEK73Fpk03o3RSgDBz+u9yVH3gc7aj6I0CeZAZ2pEpMU31fiFQQ/QJ2BXFV9jzE3KwlVKf3l++dNBZMXkygLvKt26q8ebWBYCARvXExVykZJ8ilSeflZiAH5tBYIfsUVrlPDq/kZtYX20yR+1ghs5GvK3OM8GgLdGc+Hfx0VB0125VwVVQ840t2ALW30qvAqkm6VkSWOJAKsIT7FiQ5xTRN23gwEARYtyhNZbMhZ7Hj5KaoP0BdTjEHgaOTzzbcgHEKZds/83jgb47BBOB5B4sndyN+5gNBjXlGbBtTijxaXXXaZGBldffXV9wsW7PTaHMcQtYnAAww7eRj2X59e+d686T9h1p0Nu/YU2NkR4AuvBZJMhmHgeu6W3Xibt2UXXXD7c39x3Pl9FOYLmP2EmsG0vnwNokKrc/fxzzv0XJi7PrX8YOSixgQfQCgTSLX9L4Hh/9SL4Z2f1uff8jxgz9cd8CEg1tPsOjgfm18I3PUfetyUCfbdNBH7fRfB2m/DUDnvXscE6I8pRW0fd8sW9tlPFKVDyQ53fsKNtJd/QKUA2KkFAvqfVe2yOeL12vUi86qSuigT5S7VjCaxQhGWH/rRWRjq6gfcbkFdeUvAFsfXFjh4kyYLjvrLUWzc1oodbzoDqXQBya5GRZbzMa+6W7EMPPfkujMWZtzQpwg0NcBkrwE4UOBaYyXpuOeZegBpZ3vddDFsuwMmknnhVwjEH8RbgC26GzcH98Lm8rCpRRhhoTj9flnnqLvkspA/djf2FwOjDcD09cD4GNC3SosYjsB5P6oYBgsB7uUnJ1RNr0Rtf/oD0MmyDIwP66pIhHnalFHBwoIflUYnVsViMp92YlLOSIhMhMrKwBUDXC8w+bq6x+4cA6ZS8pqlVPUKglyhCJiVMsU0LVpuolRJ+L7zF9aKtygu6+SjSJliR2mknbafHHAd4h7PxGOw61mEOn2LhQxMqayfIbcS85O33IEU1rDOIl2wMwabLcJM5qtumF7SWiilFvb6CWB1o9IMA5LC9ac1wzz28fd9PbX440VFYO33uP9xFCMjI3jlK1+JRz3qUX+wx6wVAr9j2IkRETGq2CP/5b8DP36TS/R+7B9os3gRpQHQbZ+tXljYwQtyMAyc8Xewe9zOf9uTgTu+qYUDVQb5mLzZw96sHdcd/6pI+ODx5Aowt38R9rS/lXGvufMyBdTt/IqO/Pm43G/Sapggu20G5rIrtJtkAqQ2wsHAA8pKuAAME+x1JUwPEfLECJR1DDpfQEQKHHcc+74PG4vA+F0xX9Opr1R3yJxD8kv36H3lsw6oppMNXpxNcEbn1eAIsPOv8d5JXZfQrpkJ3/+c57I4r6d777h2hkwI/No2BGwlh/9ubBxwcs8smmgotG09zLoYzCLBXnRMdIXYmucB0TaY+QkFhqWdhfXW1zihn68GTlRUE7k7aMud+I//Ub999Js0IcsqhQk5MJUg+6E0DTTH9DGnJrRQ6xvQhMxOme+7dPr8/BDjcSkwyWKrCEz+SosM0iflqWkItBYY31MV6MmmYWVSY5TN0eB0/6jHIB9PuvHFgTw1+3XFYm++Exgg6wHAmX2qACmypu5zLfK7iuIXMCD9FeilQEaCOPcV1LqYkaVfgtMXIGOFWAbex9lKo7VL5Z8zGXEDlNPosRD8bPD94ITIfyAEr9IEzLjVgYBjDTC4BphwXgni1EggJEGsYRien9Gjegy9pJ4uasE5mYKdK8Ic1ZVRfX0Y2X0Z1J1Kii0VagD0NQpzRxQG+QMW33VRmISB5TCKIkIs8DqiOl1gQXC8QdAfCnGCrQY2b96MAwcO/EEfs1YIPMBg0rcvugz23S/TZr/NUe5chNaeDfscp1QYNOdZysIuzos3gYDq7vhihf4XaYmi9YX90v1E6nO6b2cUIgAZCtz530jkuQK+LOpgmDRH3O6V3Tq57Hw+Sp2yK7vmA4qra2+UC790yYWSeq1HAsDCq/8ReOrnYXqZJQkOG4YdehFMfhLY+VURkMNCESD4ScBVvDgazN6eRYh8dcINz25F5CVvBu75D9F0h8nDPvwvYMZ+pCjx4a8DBLf6TnLDy/VCzJj8oXbYBI8d2qcJipKzkp/ywGgKdr/KyZY76FwXgpFxLw1wCKjUUbCwBmgcReldUif5fS9paQrAq4gsNjMxWBnjynMwAdI3golauvbAmzl1hf7Xd+UDfyOFgSSvEgFkz9HkMP5N8QawjW0w4lnMqUFWEx67jPSPVR6YCWL0CJA5oJ19d78keuEvi3YCpzA5oJ+MFDfa5jkT4CU/bI6mOPdToOU8YOqn+nsR8BFzA6BtrU5SmEj9bt4zKvYPa9fe0loFDwalrz37gY9JUatbDgEn98CwYGructx+FoHELQxXVycLS8BpZ6vzYlCB0kd3A0xrB2xJjYjknBDDwM8rMRNUHaQDZNTCMFlTKIifm9U0jKpzqyIWeCwm3N8G3QpdKDWQEyTu83t1qjI/5bQDis5Aq6w4C2JM+H6mU4K7scRBJOkBEujmz23VzxlNxPxzxGkIFgES24HSXmUr8GW2qydIReCLzB7afT/2vfcVKqvFHzdOsInAox71KDzmMY9BV1cXLrroovuABakj0Ny8XFzrf4taIXAMEdp2Luz7VHrW9Co9yKaO6veJVb/1AhD8mNmHvQK4+TLnHc9rmFPD+9EngTaH9P/Z5/XiJz4mRGK7ZP+zt7ixsXMu5Af4ktcBv/6QghLF592BEwXh71TUYhFVDOZuM3hgswflIm7H7waufZ92hB0NMOzyWWQQIEVJ3Diwp1AWWlbjyfXomcjKMYdefpk6Pt5QqiaBX31dulBzyd8C0z9y426H7p/dE9D3d0fCx/fHw7Evb0cFPXaeBCSWLdLfGUF+voSGM5KIdUcR7muAnco5I6OwTClAAyqCLBMxGHbUDGr6Hzmsj8/XMvAYYO/V2slRgfGIq6rZZbKDTjiMSGpEKYgV6XvyxA8CN7yzeu4e8Z771S82xZthHvEoFdvhZ0N0ApqAtVuBA/c6xoZTEGTSm1fapygqsjiYmdHkzuTMRMZiJV61FbajP6mC0tJpkaU2XT3AzGE3El/hF8GfbNsm7AVJ1sQw8NhoduRH6cRV+Ni+Rnb1FcJEzK0ZWLyyCGrvAOpp4xwG9u4Bbv4NsGE1QL0LPkO+AOw6rIk3v6Ry21RsZDL2RYJnfviCmW6YbsIj9tJz064ICqwEeL4WvMVz4BPEqckYCx1KAwdki9n1tzpALfEcs1M6LeCEhAJUjoVSnswjd82krJAaT2u5Dx7HnPlPQFM3MLcLOHqo+rzUoJC/Ub2Eimvp49+H0Koz7vOZqEUt/pDx3ve+F2NjY2JJfH9RAwv+kcKm1fOedDhfAMjPeaG/8m/134/9hBQD/1OUD9wEXPNBtQ32cfoLgFgnMPxeIMX9J9Hejru+/rHAoauUypcrqVtb3MjuU+/7SuF1686TlK1AHphe1P0lf8ULf50i/cumjJATRbE/eRvAx/LjVATuLwp2ZZhkHfaMZrD5bb+pHPLdT9mEoXqOxGeB6+k7QPVBdrCszDmmLwN3fEEvlPy38PvrgBmnsueV7Dj+pnlMd6ua7gw8C/a2j6kWPKWVu+tQGM1h18IS9u8vomVkBpdclADohugP1JvVEINBqt6mNdWpA8fD1EbwMXODSvR6Xn/ljfSgNtLoKFp3AUzpV0CEibMI7P6I6gwEw9QDvc/Xf1JxL+1ZBDpFEKW87mcCpXkgdYN29j2D1c5aAJ30JGiFHZ/W/fmUG6l3dwEDTwDKDqznaXnyDR0k6XAXB3pWAVNeQIkTGbeSkZE7JZYXtdBioeNFm+R1stPnOJ/Uz7CbLizJmsgkYiKtK8I/DD7O/rv034OD1dG9KFO6z14QoHfkIDDvEra4bk4B8QbYk50csD/fZChIlTKtQpjLz25V+8AXdG5tY2lfzHWW3Me5U1JGmL9MEmhLfYglGE5iBHzoYmlJWbXERgQiVBdBw7ktKLfWocS/MeJV0kWEzn4h0L0diPfA1HcCsR59jrYRIDyiokw7yWjJAZtfBNNxKoxnTtTiTxsn2GrgYx/7GN7//vf/1t/Ta+BYozYReCBFwE9fqv8+4+1ArOv+2QXZCR2RBrjzyx5n+gjwlddqomghoMl9+q7+tHbx65uBAwvAXEAj/h5y2XmXAkCHMz7Oi/4e9jYaJ1mEb/2o3naKqmxMAoFuhh09zWVkXx4BxpxS3DhtWR0a3V19hf9PI6OzXqVArps/LiN0XxOkBMsQeKlbEwhPk/M/KjtS25sANj0PZs+XFJUuRnVcR+iOvypCsOJyz46PlD+ObLnyoAiQL0j4etIlHFwq4ty7HU98Ebh7ci2GfjWLED3t+xpgIu7Y2lyCCnLUhc7pxmZpB0SsjK4Dx0K7Ztrl7r4F9vs7dRrw4kfo6H5qTBOmxzNU3tA8MHm5/rP7z6u2u5EzgRvfr0lsg9tbdzxZDX8y39eOkx325IRiG/hGy3G5KQ87YB7z6FVAtyscBKw3V3UUnFlQZUXRulilRkAM7uqlmCEoL6WdN4+bhQfPRfI0YPZW7YpZjPpES7ZFrEXxJ8ICoUYDx/fx+zJW5DN0VBOwsBoossMd+Yy854U7J1DOFkSaIOo/QNTubxsH+nu0+CG9kvcVRktG1gB2YFAlqAl6pE4AJyc8D3QY5PfEVHAVwF5+bAFoj6vRVCYnbBupKciOqauDmVsQt8tl0dAAw8KThYynqFIPozmEUKIRIb4GmoGxWDjpKUDvemDkc/qebniTFAOm90J9rJKee9v2DH0PmpavCWvxJ44TbDUwMzODtWvX3u/v5ufnsXPnTpx66qnH9Ji1QuB/CyqjubCXv0GMSezTdATICQAnASwCcJOOje1FH/utxYC0PiIvnFNwnlywHRp5gSArTgKINmd3HeQuVT+o5R/9B7I/GBMntMZnDSCUrNOxZKEME1vxgRZkNvfqgYs5d+y3zMK8+kMw3ev0jyAzDsPxJ9XTvvsiXSMIWrwMO5sLSA9pJIR7XQJ2fBP2ye+BSfRo8t/5BWCu2nnah70E2PkVGfUbeimw8+dOmLtqB+aSbjT+SOCX/w4UPgPMZkWuWUauDSGk2FUGYiZTRKg1CkNlQq5D/JicOIrpDLD7kOgGUNZYzttZj4aZuE6BmaLU2AKsp8uf02DgbZgsD+zX/Tgtils9xsB1puyyV/85sK7BiQxxDK34C/m+mIdtPB+mrl3XCpweBCk9E1c49UenNSCKdm5NY4jyZxFTB9vRDdPN0bzzBpgeA5rbKcig92OSX+Zu51QsJ6klQLvi/uoxc7Te3OFcJPmeUGf/3uokxVu2eannMml1LErcJYEjfSkgwsDmU1wRQofLFFCa0uObUyokWtth0xnsuH0SB9+3C03GYGNPI3qe1R343OVV3IfrCxamPPd8bE4r6hp0189jZpHBnSenYLwNAYd1MZi0KniqqmVOvxjk85cjsJRr5LSHt+FEyTlXSnHO99djCVhokX4oDow8r+7zs2EAZkQnf1i8AxgPgLFIcQ1G2DkSNgXonbWoxZ8o3vGOd+DP/uzP8LSnPe0+RcCjH/1osSuuFQJ/6CBf2we7TV6cfvMO2Ed/QlcFLAYeAFKYHuX2Ua+H/f67lTKXKSN0yYuBaz6F0lwBodvGKre12+Iw8Sgskx3H0wPNwG53ISQFLBFB/Ok92DM6j9SBEppGljDExDkYcyp1ZN4RWV5CiM6E7dVu1rzmPwS4uEwL3a007LyTrZTRA61paaxSxhDZju84W1SFE+e/BEM9PbDXf1BkkllAmLi7/yP+RRHzLC54wf51lfaoF2QmfgtMjingMR5WkZct58EyodASNigZHAkhvsLWNR6jy6BP0jQdagCaG6QrtYtMdk7dj0VRQwRm77W6lvDHwe4yFlMr4Nk5WFLtsjlNB3zs09s0QY4d1cTEzpHd6e7PA9zF+5CkyXP0GODAx1WwZ93fKcPglHOB6HZg0enf33kDsC2wO/aaC14TwMfhSYCFAIMtNe11qU+QnXSAOfGm1qTGzra9R7v2/o2uu6bzJLENRO+7QosJsuIFEAHanqiPn/q1JmJqYlB0irgMftaYmFkceNthET5qBGKtTnRotMqu4MieANijY9jzmyM46Z9vqryUXyT6EThbsNNpmHwd7CpdEYgj4MS8FnCrumACwkecmNi4K8aOqv+CJZASrkANRqEEO+UKpX1unXHaeqA5roVKUIxe1hp+DMbpXRz25GZgbBqmqV4nFixQuWIKRujYLF1r8SeOE2wi8NznPhfPeMYzZAVwySWXVIqASy+9FI2Njb+TB0FtIvC/BJO9PfedwM3/AvQrUls08Ffe5qKPVf59f1E+chCL//RGIOJG50sGdTs/CHRFkPr1HFrWBvTdeR0+46+Bj39QLYZ7mmEe2SfOZ6EJvejtmchi8zuqF957n7kFG2YpWxxCMWpQPKxdTP2ZSYRSUeAv/h2mtXfZWsMuOKCj222KRfNTP6O/TI0B172lsh4YoqBOJAJz0qmqs97qLo7s3CbvEL94E8oD6/XyLxf6/VWEt4z6J7gXtjq2ZVKRvX4U2PEpwSKIpDFXGtRs599mdyOGrMGOvzoJqXwJicYIhtoadKzdQu/3MLCBuA19TrMJsDdRmGa5iuCyYMLZdRh2aEA76aMHdS2wqtl51ztE/cy0kzguKV99hWhHJegyyC7T8/Y5DeCk4Mg3dTRPfQMWN3XrgDqHaOdj9veqrwHxG9QCYLRRrS4CNHFiQcR8zk0gAlRUrhA6+5zeggMHcgLCf5PDX+/mNx7NPsvVRglY82SgrhmY/6XDRBAX4gyR7rpDx/DbT3NTDjIyGlRHgIUAC4NFN6IPBo//CKcX5j7rI3SHUb5jQY7NnpRAmCsksZDg3xD1C9QAy8Sdcp/IS1NwiPTAmWrxI74FigERICI/G1w1kMUyX4QdyyG0tdnZXzt/jdZm7D00i9TMIhL1BkPrva8GX5t1IEKnoCiyw43A6Ii+hyyEuvt0wtL5OCC+TTECtXjwhvk99/wGx1Ww6//0pz8tE4FrrrkGGzZskJ81NTXhiiuukGLgWKNWCDyAMJ2nwV7wkeqq+34S/m9dB6wIm/OI/4honufvzaFcsJg7sCjX9vhgDOEDWYA0Q3byZzTDuH2pOf/vYX78r2h8ZDvmDy+/KE8eXMTq1/0LbLQeuXe+EfUJp78t+2Aqw/XCpsflKzRwphYBl79Yj+midwHxbikEpBhgNPfDXvAvQHoS+AkR8gAufB1w/dtdInGc6ZmdwO5PupPArss54NVFUR7OwXS6aUSuBEsPgg63u60L35dy3VGvI33Ku/Lifzgt1+2hVU1aNPhojMAQCCmPuwL4N9QPTM9pQuvoBRq3wh74sQrb8Fx4YOAh7rlVn0GNcpZk0mDbWZBZmHYnV0xQm3TjRWBiDHbwBTCk0xFXMPxFXREwWfc9R813xhyPn0HDpcH+qqY+k4sHHVYUAqMKnGSBeWgMWLgB6O0EZPdP9gb30Sv46dLhyj8qhkiCs2BRQYvmJofQ9wBDMZwi+JGYESfpW3ms8PIOWB7X4TTCEdj5+YqftmEi5XH7BE28Arn6m9YgEWWyva3yMJ1rG4GM0jVNa51CIbjyYuFImqcP4ew7Vsy4S/4rvRxE0CsD3DGrDBH5/DhuP/f6vqProiNkDHvvOYxNz/p25b67fvIqDK1tBw7t1PdN7JgpJ+3eYx8shoZOcedgCKb9ohUf0FrU4sERz372swUr8LjHPU7ogpwO/OAHP/idigBGrRB4gOFlcn/XCA2sQeyLP4SdGdHrensf7Pgwll77YtS1hhB710cQilLk57VAUximleY8dHbzRi5OkjVHt8Iokonlb110uoTdL3sHQiijp6uIvDVInNeGUDP3o4A98AvgdgU/lc//B5jekyv3tT96vSbEZ32xUggII+IXb9Ve9EnvVwwBu67bmTzdRfrCf9XO0keFGujCFz2VJyoDcxkgRJEiK5Q5Q4MlJhQmAybdrkaYDCWFAaxLKmaCoC4WArR75VqAlrD754F1LUqPDL5P3D/z90xaLbz/UaB3ADg4V8UEdCdgstzjG1g6zHHC0dUNNMVgJsaqKHjedt1mtQIuLMHO52H/k1MSA/Pyt8GQImeWhO2APZ+DJVrdFygCRqN3RE6V/jy1dGFUqXXW0dqWFlXlj5OKlpgwBAz35KS79fSqm+LKikk0//2UwIEwRSHPAUsO7Qe6OnRS0datnxsmXBEQegQwc1XVSpgYhW1bdDWQ49qkKaChwMcWsrzztPCTFu+wWQROPknWC0OburHzk4/Gwr0TSKRKGOLIXTAvrhBgUO+BWhkCZGWxGdPELA8ZUkMmud2UGB5ZFoPNBFdSh4Aj/1bY27QYKCxZRFfVyd8CqGuRrFNNiWQEqezy85UirVY+f6yYJ1RpkTgNehkIZoE4AxY5gYIocmymLbX4P4wTYDUwPDyMOYJsA3H++eeLnsBNN92ET3ziE9i/f7/8vKYj8CAPFgPgl4+BNWj66o8qv7Ojh1AmBc/z9xGCPe81QG4GuPULqhfA3y/kMXRoCTseOyRguvKBHNZEophAEYloAUuLBm3bk6J/LhdcXuRuoNOfc027/v3A078APOnTwOwB4Kq36fHQcOl+QjAFxEKQQSHmKw6oV5dUTrkP6eqmNcHygj+bh80UNJmflJQkKUmUf3jMMywGFosVUx/T2ABw/JtRIJ0VzQSK7bgLeX1YVQV5Dja5BEKb4Z27XOJrWN5FTs8AHS0wLc2wT3snsJ8dPIuPBk0EszMwpKIxqBBHmdr+QWAhJeY8aEy6LrpO3fuotMjkZ8KwP/sADL0XGC0zmshJUTs4qUJHBIMy6KbI+/vjYgIVTj0BodxHx4HUjAjtiAqgb5Y5BeIx1reqoRGFeMTlr04Bl3KbtPN9aFNwKTEEddQsaKmO9Jn9yBzxjpSzjubI6YFnGDAcQE+6ZR6XTEkKMtmhFLLs6aU2qk59JBJM3h0wi1MY6m8B6sqy4jF8Tn7Re8N/jtoaFAAoUIeQs0sOWGd7x0YyCqgoSdyFaEoE8AOtUWCmgOimJi0i5XOrRaJdlZSXEOe6IxAJ7v/lOagCSDEnTp0SIkjExzQUCbpnBuiuh0ndJJROcDVXi+MjTgD64Bvf+EZ89atBRdPlcc4551T+XdMROF6LA17jpg7DHrwJZoNLrPsXYAfiMDd9WPftvrWmeRGv60hhiEA5Iumny6hvq0NiMY+GhjBa19SLKqClFwGFT/rrYUi14hc7KNG2X4RpH0KZHarTXLeT+xS/kF9QJcTH68i/oo+QHXcGOiFVUiumYNo2wJ7yJuDnb9GusbkRmEupv8JF3epuSDEbXrQpHMP7U4qYr4jObbxPZ5uC7VralF/fsABDDQOivokaTxGlXlJ+e1tbFX3PaG9V4ZpUqsoRp6wxC5Gf3ClqhfYpfwPTvg5ofr3+fuTzQINVHEC72/92XAhM/UI74LY+t2Mn1W2mslKQ13ReJ+xkFiZUUqQ6484vwhBZLp2u76Jd8HXtH4bx3TR58AStsYAiXY8ofKoOynE3AnceBjYnl3cq5TAw5m5D3MH67Qrg8yN1eZNYQMaXfy8gNxZtBaDtkYpnkDPv7kd5X/+5IjiR92nje0056lk155keUR0CJlfiF4KKhHJs7KQbYA8fBXY4vQ3+H/EbfC/5GogyZRFKdcci11VlmFXN4mNh9x5xcr7tyihgocTnEs+DHDCvydp7Exg6XvJLVjLu/KxiwebUN7NLGDo8gV2XXSACWIl4PYbsOHCExdoSMDkKNCVh+Xj3KDNACrCtPUJDtN1Phhl8OEwsCHWsRS0e3NoBwajpCBynIUXAB56p3/jRsnQ5JemgAxZEeu1risBSDvVAVnwI2h7XKbQq748iISI+EVXnmyjA9tbrff3FMxoTWWH8oKpOZa96jzaOBO7xB5e+GybeA5s+6iiS79IiwCvfMeGmDwKkD174LmD4l8DI1WrgUyxr4mxthB3arE9ABbjZ6njLbOyCvX0E9o4jMFu7xQGQGAd7wxGYi9dIMuCUwJ71lyJ7LBbHTBa+S2/QxG/5/If2wZppGHaTTEAIwTzjNH2i1C+Bw7fqPr37BUD7k4GDX1adfu7A2c1HfqVa/+y2hbPvdteUwhUkPfEdeWBkWMGivY5jvzcN7B8BTm2TLnj3eBapfBnJzoIaGxGdTqEbdvSMctz5UbADpvNeRDtsdqfsijcnVaSnp1dpb6lRSYx7hheQyhaFADG0Oqe8/wbSFceALNUIo/q+iKLhlB57M+l7KnON6R8rayCovrdElgEnO857QCpMv/ohgM9166JB0FqlXFKox69PpoaB8fGqiJMPrl/qI7BULeRkhsk2tyjnyPLzxaLpoJNCls/9PNCrqwG7kANYBEjyd5/Z9iZgOjCx4nslhlKceBBvoqwAy0KjuREb+F5t6oLp6XTAz8COiud6Zk6nT4yTNyuLhPTGWhFw/MUJsBpobm6W9cDq1asRj//h11Y1jMCDLbgHf9SLgF9/DqCUL+N5H1bK3M/fDEvMAEelvAgSKEUfgPv5HJvNTUIzFP90jvHztL4NwWx8Lswpj4FJ9sNO7tYb+y6SdsO89tKilT+76s1KQ+f+lR2YaNIbYPvfadLZ8QG9nxjJ8HmWqo9FbQNenJOxZYdnOjqq+3OG0AXLWiDQeChhgYf1wubzcnEX46HffF6457azS02NuMvlCF+Sxhxw/Z2wqSzMKX1AW6eO3cME2a3ALDD2frSKZeAqgF8MJh7p/B1jgLFqvUOjU/++W3KJjqrpGMgOvB44swX21nExStxz7TC2fO7OylPt/PzjMdTHUo6JleeO3PtpgNQ4ggY5VmdxQhW8TBomswArFyULHBmBbU4CPd3Ye3gem57/g8rj7vrJJgxt4q6dokbK/MDAVqUCip7AgGMdcO/P88Bz7SZBPgRBT2ErFm209aU2AlUmZ6vYA96fhReBgVSmFNg/C8xmnTLw+blG4bSDn0t6QvD9b2uSIkDe72RCVhbFkVSlBimF6hD26x4fnFxNzACrB4ANncCtVDPknD8GdLqCLRgDXUoZ5bGNTAG9rXIeDdWlyciYpAZDqxaFPb2wuw7qZ62tGWZ4vOoCWvkMUl759bVJwPEYwV7pd73/cRCf/OQn8alPfQoXXnghnvjEJ8rXbxMWOtaoFQIPgjAdg8Dffxt2bL+Kp3T0wd7w+eoNjuwE+ldpETBBoZwwTFs9cEo9TN+TxCHNXPklVdvrqINpr4NhkcC9twNGl4+ktUO/5cuwq7dLISBmMoKId8fRF4Mdya9IFo6yJkmEY/NOYOSb+tjSgRaXj8H9xKE1DsOOkl/Dh9xKgbx7XqlpE3xQ0errWrUokN27q87JLvCocQIIWQRtWKW/588DO2qxLz57tXad1LR3f9Vm7VNgh6/Wxr7zXGA3UeTcp3OkHtZOPxgU7pEduWNjsBslfoD5m1gBWSSWYbjq6O3V31EYic91cQvsnsNIzQaAkxxE3DYKtK4G2pPVsb6M1uneF9JOnsciOAUHCJXzSFbDPLA4A2zOYSG7nK6amnedPM9tUOJXzIRIJ3QZl0UAX5M3DeIDRyk3TLtgUjt9J8XpBDEJTPycfsiJrsoP3x910lsnk7URj8HMZWCFVqvFqW1pgWGxcOiwWPlyFF+eysDEogivbgd+Q1wH7aZ5FXK6E3w8UlSNhT1DRYzMnt3AAo2HyrAUXurvUvU/0k7ltTmLb1JAKSTEe4nvwcrjpQkUDabc54M4FnpTNLfArPkroKEXps6BFWtxfMUJMBFgfOQjH8GrX/1qXH755fj+97+P173udUId9EXBeeedh7A3EDvGqBUCD4IQ+WFjEDqpSleyT/t32Pe/HFhbD/Pz/4AdoPe6F0NxqG5e1A78FwypiB31MBxTjy4BXdRcD1y8S2WEaDxEED9BWFf+I+yznVOiZLpA5zxXVNEWUQ8ktz0BQ+0DUX6rV563DxYFs5PacK5/HixBiLwbE3x7B+zEqCrGyVzdeNPFKnebgMjmFti5rJr0hEswHV2aysfGgPmUui12cMTuUjwT9CTZBU61zk0gTGcnQInZkSNArAGY/ZYwM9Q6+U7tlDmeJ96CtxWxBiZT1+VybO5penyO6XmV8l23RtcF4/uAwyPa/UZ7FXC2wnog0b1ciCbxsPUKGvRiOQT/8Xmyi4rO5xsixQbH+uS/1wGjY8BBFgHk1ReB3wwj0br8jzsRXgLmOQmgJkNCu/H5EVX+Iwtg3uk3cGLBRC5i/gY2NQ0spGHi9VUtfwI+WXBQac/y/KRVvpjFBRkLfAzRV3D7fjnfVMdUGWDrllei+EeL3k3r9LkFODmtk4PFCKKb+1E8PItw/RIwNqG3mSDugJ+jKDCdgz1tDcyIykmbbqezsHETMDehk5+mBpjg/ovHxkkOk/qRSSCr0xG7ukPXN0G2RVs77FV3qLImQZ4EG3Lac/7bYZJVBk0tavFgjnXr1uFVr3qVfKVSKVx11VVCG6TAULFYxGMf+1gpCvjf1lZtVB5I1AqBB0ERYD/yLP3m/zF5qeBPaMu5KL/qn4Fr31uxDpb96kUvAhq7gJ/+myYw6cIcmhpOUY9obbG4NQrWczLGkpSpQMjcMHJXldpnXF7clYHZFNPby0icj+WSI/fkK/X2vfwuEeUFpwzIpNFAgGIU4MWcHXyWPgkWODAJjM0C/a2us4/BEjjXEYW94k6YcwMALSadRCPsTFqft1TSybR01AbY6yhyXqqWY2B+MVLaQarNLUf/Fli9Tb8nXU+qZpcohI/OcAmT64FOuvk54xx27tTiJ76BeX5ws+reC6XTSjISJDwMNm5IYOcbzlDxo23d2NjtzpdLxIKpmM7CPPxvBLCG4W9oYUC9A3bW99wKO7sEQ1yHt4smo70jhp2fuBhpU49EdzuGBt1oXrAQDOdQOUVqYlbpcf6NjTrhJxaA8WZYug6KI5+3Fs6oda8PrgL8hIGGUPLwLOTmVNtAAINFxQxMjosioCVzg9LSNMzyn2s+NyWfnf6D7V1ChOqAKa4/Vkj2VlwJV6wLhGZJM6SsrmK4xuBnwYMKSbXka1/brWJD++jtEPCSWJhXUOB8DpbS1aQzyusqwZBiSpnnRM0y+LiPE2QisDISiQSe/vSnyxd9S2688UYpCuhO+IIXvAD/+Z//KVLEDyRqhcD/cdjJ/dV/H7ixUgjYzAjMkU8CQ05aNb2kq4F7vqHXuke8FLiFDn8c35eFgmfPbavS1qjAxiTWYIAzX6Gd542fVWQ7C4Wr3qv3pXocJwvjizBJggtLQFMUpiMwTq6sU8nBf4bK2DKBxeiSpzQ+2W8zYVDamF8j4zAtcb1oC9jOAievBvYcre7o/W6Wr4cdsIjSuKARUl0cGHYqc/QpmEvDru6FCRpqMJGtsN6VbpUMBBk7q0CQrDk4EWCy7HbIeHlu919JrO7cxZuBsy7SHXlxThNS5bFngXxKpwRskOUUVc/RELXvGasS1ftQR6C5HTYShemcBaa/D0xSHjkw1fBmS0zCVIZM2+ofZ66IoUQ9DKWmOUbnqDxJgF89UEhrIZTsAriBoBtefUKNk/iavFKifwe5mhGNAE4+mMDJBAlMj2j1y/eHdEI//TkypqZNnBCwAODzku3A99ZjCBjeoEg0L+hsGAJyBFxGgXQO6EhoF0+/Bzg5YL7sjb0yyaCBFUJNAHEFPCf7D+hpJbaFx+MV/0T62K2T/OsiXoBiUg31MGn3Gih2xAkOpbAbm2Af3Q2kuH4wuiZ74nvv30CsFsdXnAD0wf8tWCiTQsivd73rXTh69KgzNXtgUSsEHkxx7YdRbumC6VgLGNcdeVDTaS9WkZPrKDtM0NvXHD+8XAVmNdB8xe1A6wm0M8C5rwJ++F63H3YdvNDOvMuhQ+KvDwETOREsQmwFRYy07Nk0sP2FwJ0f1fuKkUsYOEcpLTZ1aHk+ZuKIkTWg3alhN0xOPUFhInzDvXwbTHFJRXSecBKMSNq6JEIN/SASPZWWQxcN+mCwKxYkO/fhId3Dc4UxMws0cMVBlD6FmFx3S/ohO1rlYHK+rD8f2a/gwGgCSJ4D5O9V7X52zg2dwJhS40Qdkf+ItwIctdM6+BcHNAFvSgJ9q4A88RjURGAhQWBnIzA/AeP9CRgNgRVLnisNNxKnqiLpdsZg5rpptD2zV6c+XBtkMpqced4JaKQsckuv0xTybBA6MtYJbgRH9mjidlgGPV8s8MpVNoEUCcErIW2wl1RgiFRHPm4PAZ4Ub0oDC86VMBgs6GQVVYYdHRXmhnTwW/v19TfFFTtCgaOlgnTj9kyaKRFwSWVF/3j8jDp3wOxiVRKCSXzNBqX+yWe7DkhSFIiFZ5aQal0dkXGTzeh5kht6/ISuVkxznapWnvNmoHlNzTa4Fsdt5PN5fO5zn8Mvf/lLTE1NYXBwEM985jNFYIixatWxWWLXCoH/4zBd62A5nhZAfhm44s2KHH/cm2BYBJAPz7j7c4qiP+2FwI6vOK42BXp44XTjV95+gb70gBXgHE14HEWLF9VzXgDc+zUFY/GiyCut7H1dEiEAMWRQ7r0IYXtj9SC3vkBdBO/5EtBIsRmyEFyhMrsL2PsZmFx+uflSz4VA+Q43hnfBi3ZPEpZgxwTpaOwaiRgIA5we0IZY9tZMzksw8SZY7rNJI2zVZEGK4fITGAFazgAyV+l5IC4gUg/DtYOI4jDZ/ZbKmEmdUwc/yo6dDaR+DqRvXiZgbktpYHADcPktMp2wTzlPrHOJnhf34JPaJJkbKXwS2nVSNpjBt4arhfuzYPZBwBs7Vx5mkmY5RURidUg+JgT0ERuiwkoiWxAhg8NRKMVS13XFEXc+ZVXjUP9UbBQHQq56+KdOhcZsdV0gvgbNKkREkaTb9wFj8yrcdMYaZae0dGrhOUukfRGWrAcWLZQqJsqfT1VPyl6dJn927ix8eMx8PzmV8K/erUekW+fnk0Vhczzwu8h9JyTyWerXwuTwuK5XyBhIzSqF0GMdXNjZhcqptWQmUP+BGATGOf8EJAcrJlm1eIjECbYamJ2dxcMf/nCMj49L4t+4cSMOHjwo2IAXvvCF+MxnnF/MMUStEPg/DkOq18u+CXv0LuDa97gPNacD71c7XY41ebXNFzXR36Rvst3+LODAd1VWlXcg7VBwXNxHOwQ5L6Y/+SRwyUuAOz4L3PMVh+wP4AP531P+HLjtS24vH0Vo4TqUBp6M8PgV+pgNze7ibICNfwXc++nqC8iOKEiPCZrFBSmIPAYK08ztAKYmnYpcBCYRV3AbQXMHDwEb17odPxHoBZc4igI09ON2JtplHS857Ax2xVT/E7Od24BkWzXR8Hc+KNXLF0k5Wa4z1v85MHM1QBVDAQhyDU2p4DKw7+s6cpdzGNbkR2MaFiR8SE4yaIfLbt6L8XT0CcsDu27XJDg9pWBFfXf1tvGHAZkbXLfrBH6YUIllaO3U1+wKK7NuK2y/Fm+R0XGYjMNXjC0B2wcdZsHhJoIRrleWBvg54Q8KQM8AMHpIH79vrZMVdp8TehjwlPJ9E7xDCdjYDSwsAtklWI7VCeiU6RFVSrqAmTFHrbTA0UkFKRJTQdto//6IFHFOixBxLnSUQr4nPA4eQ4gFCz/bDQA50RMTKi/sH4NgRTd5kRLOCRmZ009yz0FGR1bf601PB478UAWIJmcUl0CDLN73uin9W3pkHOb8t8F0kIlQi4daiPXG7zHeN8dXHYCPfvSjYjB06NChZZoCd955Jx7xiEfgZS97Gc44I+B2+gCiVgg8SIoBftmB7cDsQdifvRPIkXrn9q4rfAUk7vyOXBBtS73a+4oAjOt8revir/6kouTv+YJz0uMFvypPLy3m3CLw88+odkAwDl6uAEQmxds+oo/PC3Jj7/LbTV2jevET49rZbXSj+8zP1bWPz8cRf0goC05bIOlkZCkfvKAYgvHRaiKZm9XnnVrQ429uULofkwgTFwFxYimbcPt7Twt0XXzTqbDZO3RP3uY689lpLTZ+/QndU2+gDkFBu10XljvnkVEYAtR4ZaEpjeAZHFr+kafJqsBgDlhyhRFxDaTj8bYcj7fy+eibQFe+MjA8AeR2AesGnEeAeETrf0UUyZ2vdev0OZuaYQoUNHIFYaweJtkC20v9hBCMB/KxmDiyF5aFRGOvTos8cFKmAu6DwOfg980XAvmbq54P3mqYax4CEzPz+v6dskrU9TB2OSxZG3REZLBYogeCz86k3vHzxi8+L39GnwdiUfhFJ8mNG1T0iQUPi4A9quSHnnYYFkv83EiSD3gm+M8AVy2JBqWH7tut2gUbHbo/PeG0GJaAiWv1sedm9WV3N+rLGk7ruuBRvWqzzPVOLWrxEIjh4WHp/FcKC23fvh0XXHABDh8+XCsEjucwLf0op8eqimd+n++DoL/rP+J+50BUtHElMrqQF1aApfQcL4C7vgR78Z8Dt39LAYJiSuOofH4iUJkeuAcsW5Sml4Btz0Ake40DY5V1h8+b8IKbnoQdo3GQgbn4tcD09/TnxAIIN31FyNjWFQHSEa7guTIp0deewaRLrndbs1LCmPOYDESUpgR0rtJO+MAuZQiwi77jbn0Bl75RQXmj3wYWfu3OUWAnP7hRjyFzt+IKDu7Tpx89qrrzXU8B/uuDqkC3vV1v09lVAaSZBrISnDkNAXU8gUT+i2ztsD6HGFN5EKI71yedo6N4b/wztgPIEXvQsNz9LhyF6dsCy8eTc0Q8B2V5k6pO2ORAj5GIKg/y5FDSd98szPmNmmwZpAeuPQu2PgnkqdbnEjk9BmIOhMdJCAuYzBwwOamfM0/L4+/3fAU4olMJOzCmRk5cHcjEhcVjTtkA/Ddppgv6ebWEFJCm6vUdfHBywKTttSRYxPkvFgIdbYrt4Oul5DPfW74/niFCmWm3YpCgnwJvmxnTopC6Cj7K4mYBw4KAstY8jSx2smPAA3QIrcVxFifYamDLli24+25e95bH0tISdu/eLb8/1qhNBB5kIZK+vFAzSZ/xPGDHN+Tn4sRWjMLeTUpcCObUFr1QkpMuIDZNqsKNdsnPHLkCtlV9B1Swx3WZvEZXmGc0v/E/DCEcDwNHvg+75c9gxn5cla31lr3sDF0naAvZ6uabHd5gn17QO84ESns1qbRfCESvrwLnVu7rpX0LCOlwajEzD7vuObAfez/Q1wjztBUAQQbpdlLchLWjnbgc6H9mQODIASJZDDD8WP68vwPS1wE7HAYiv4g9oQuQmppF/GgKQ9zJ++A58wnIH7aM1131xITMwsELKxHBX3IzSgLteCcPEORxTu8Dwm5MTkVDHh+T8YF9chyWCHY/4iRjYe3jgfGfVosZeT4n8cxzxjF+ywrxHD6OPC+1CYiw557c4U/oHyCnhhRSGh41AmuoTOYMkBgz47p7n0hrQSrvu/Nd4IeM/6RSZdRPoVgoUvraUVVJIW1LAF1xpZ/KyigJzMwAA736+Qi+95UPvl7M9xyeQyqzhMRcCkON7vk2rFfaK4W1GO29+n76qUBHKzAxrf4XCw5rIcVbGJYKl1Gnl1CLh2acAKyB4YD74MMe9jC8+93vRigUwtOe9jTRC+Ca4LLLLhOlwV4Knh1jGHssHINa/EmifPhm4L//vvqD1gZg0QEC97tu/FQiwa3owMjPacXKLo2Jn0yAk/4K2OXcqjb/BXDHF3XdwOrXcbsrfwT+e3Z+BBvSQ97T4AR0VVQlQzoJ8vvTXwAc/k9hAqhOv6ORccRP2928KxZ6urUb7no8cOjblaQq3O49405LgBfpkPoTzGVhnJCR7Xwi7Ec/BbREEfrzjZpwiQkgO4B88woSnh1mo1gIS6fOjn39k4HC7uoYmT/reTow5WR6qZ5HjvzoPuw5soBNf/3jymvd+ZpTMfSwPkWgd3e5hM7ETkU7Iuod0p6FCCcQTGAC6pzTTl7AjCFdVcgInh0vRXa46thb7XKlO2chlwF236P36e93vgM5xTT4WH+GJmdJ5KooaFkA7tgH0x0HGikkxPPYAPRdCkz/Sk2EaJ5UdGsIPj4nBP7fvoKTPX5SlQUFbDepWgs7h4HcEkoIIbK2Vd396PXAomvGATAJYMzoaoGfD3GVZPS16+eCBYCcOwcErSgguqkQGRAUVqJGgzHYM5zGpuf+d+Vl73r/wzHU0wRsWA00xlRlUtQm08CmLbriWZjSIpOYAU6WBMjqKLJ8PQRiLpVgHvupGkjwIRYLCwuiwT/7itOQ9AJov8vj5Eto/dhtmJ+fR5IrywdhPO95z/sf3QeDUXMffIgEnf+WVWerHgvs/r7+bn2jjmTJ3eYXHd3gOmkZfbud9rWf1O6TndvdX1b63ilPhbn3O6rfz4syEz8v7J6i+Fv+lswgpw9OD75kYXZ+Tbs9TgG8yMv6bXpjKu7tuE3/Lbtjdq4/d9QwV7XklmgSr+C6zQP6OshVL5RVK2F0Ebjjy8A2Os0x2bqpAS/u3Dmz0GDSp7CPqNzN6pfvarN3CapfXqckY3LzKW3MYNKe0g4+FEIqt5wqucAiajIDS9McydmuXWASFYS6tx4+D9jzPWDoZH2d4ZQWNsQ8EJA5NQ1bjsJE6RYZUSMgBm1w/XHw51zlbD6ZMoTA0h1KJUwt9x2X81umxXBMpwhh596YaJTkb9ZuV4ZEkSP0exWoSYXA3FzVbEcmAFy5hJ2mghunxwjMDIzdCQy9aadMAzgAIC9FBiubNipucN9+ZR5Q14K3v3FWG3uucth5r6NENtkUgekPwYDOIKoS/CyMjMM2RkWUiJ/BhaNOW8BFilOTzRv0+ObmYLkGkESfg1mYBgg+5XqBJ4OUQoIoiQMJxvwicOaLa0XAQzlOgNXAx2rugw9xaWHmGiciFMQK4AVfhZ3YD3zh9cDRb2iX30GwnnGJh0JAFnae5i8EiUWAc/8auFER/XtGs0iVikgk6zBEsGEoArPvu7rT5RV+hIlgCSAYjEmdQbW1rGreU+GO3HWTpBQwxWfKVdlhwRwQgObG5CwI2Amz0/cuez58F8hwqwEKx1iqzJ30l8D0j2DGiM43sEthp4OvkwLDx+9v1Is7nQL5WFPT2h3TvIjBjtoHAYVMOB6HkLwQaOGOPQxT1wa76i+Bo1+qjtnbOpFocPoCQe96JksWVjTU4fMyqMPP4PSB983fBQxQIOku3bHTBEkmHrNK3rvxEHDXPCwLtb8oKPODSHofZB1w180gsn7kh/q6mOx4vok/4Otlx8yulrscmgqJUqMes1k3UPEB0h/4FY98owlUcBJhoN69Dl8AiHgTizOi+rmrp+viggj32AvOQ/lXtyCUd+eW0xe/buI+v60Z9vYDSiU91/3qzgUgUwZWNeq0pNWN7YXC2AIMqw4DSAdl8SigzzxMSr0d7FIRCS/F7N8LrhLSrsunIqWz3Tb0bmCxRE8Bz57gQVDDgVODuZSCTOWBwzD9D1/+mazFQytOgEKgublZvv5YUcMI/F9KC3/yefrNS79y/8VAsazYAEbRopy3CCVdhyr2qxHgtL8Efv1Z/YNnaI8AAQAASURBVDAzseRK2LM7hc2fuKPyWDvfdQ6GHv9imL3f0R/4xM9gUiP9i3Sxrk6gD7Acv5O7T+lYwQcUge3/D7jlMu3AY5wCODMakf9lR78HGHeufbR+JZecCZU0OT4ekzO7ZR983JkF2Bv3w9AsiZFlMVEGuusF7FX5GVXghDPvaH2+82fwHPBxmSDjTHb62mTjNX1lteuV7vuRWkBZrhG0Qx/avhq7fvACpDIFJJqi2BC3wKqnwVA3IehQt2yf7UCc/O/qdW7q4HAIrR2aiPi+kU4p9y071kYRmB7WFUcQNMlxvBQKTMZkWIR02kH9AQIki4uqkDg+rGC64OfE8DNSgAnTiS8PtJ4PzF1XvQFxAo4mqUZBjvZIBgOLtjwxAQmhOdqjpBouoXTHqNAWsZ4rA6OCVXwP9cXof9a0wzTGYef2qTPmmW5VwzXTbB6WtQM/G33r9efjE04y2J8Tyhxz0uLO3WIRQ72N2Pnu85AKhZFc1YKh9Z3A+IieO64RmpOqIyGFWB42m1MlTZ53UY+kA2Kn0k+nJmGbL4DZ9GcwiZpuwEM6TgCMwB87aoXAg92V8B++jfLdN6DwvrdLlxx9ouuKBMlvgHu/AFvP3XUZ+M3HRR54Ibu8s0pRvnfHt6Xrlvs2xWA31AOT85qcTIAHLo/NpMU9q1dmoaZ+Ajj5hUIrE+ofg92rB3+thJrwcb0WPkf/3OG6EF+CVAH27i8Dk1nAFwLswlmkrKzQV1/KckaP6ZTnALnbqokp5MBzLDoEyEhmQoP+zLvwVY4pBUvlxKBzszEYWh1Q3iMHHrcC69arjgDR+MQ+VGRzWQRxHO0ohf51M1l7ZTwWVY9Yo+rM39oJO5eH6WnVqQKnBkz2HQPA3Jjen5MMSuvycZvbdLJC/AELAzlhZWD/XcDigk4D+FpZKHiJ5sYzYOd+ocl94YYqKJCqilwXEC/gJwEyrrAqzXzIge/4o661wD3KpFi6aQZ2oYimLa06rSDeIZ/DnsmCAvkKaQy108GxDljfq0I/y8I6gyVOn1jMZQF6RjBiXG2UHNizDNveAjs8BcPCiVLKnTGYdY7yWaBEdb0WP92AmeBUwRsf8XNMymhEmRv8qngvaIFotj4FZiXdtRa1eAjEVVddhX/913/Frl27xHwoGJ/97Gfx7Gc/+5ger1YI/B+FTABe+pXqv3/b7ToGYTbQ1Ieo7CLs6CJMG33kuS/n7phXbnbtTIq6d05c9BzgS2+pPEaijRQ8pwnAYAIRQyE3As8WYXzSZxB8JYVAoFS+6wOadJmcvB4AL/Ds8shhzy9Vk6ug211CJ9iO4192h/PzOuFI07XORa6M8q5Z7F0sIpUrIRGPYKirUaV8uYrgcYz9HGhvV3569mqgo1sR4wwK/LS48XCBxkQl4NY7YS5+owL8hLKmlDa78+PA1ddLMrGnrlHfIRoXMdofKWwJtPfotIJjeJ/s3WvELHfY08DAOkXcex6mrA08VN2oABENjnjfS/thWpiwPEPCunNLmdxuTdBS+FCd72HA5LXViQ2LmfS0aiwwsQqLwakWykTBPefcL6vvE4uhSlHmUPeJs4HZn+mPWi4Gjn5fsQZBC+PAbr2+M0qLQ5TruxFq4/sYwp6xRWx6gnesBHZ95AIMnZmA6WqBZWEzsXBfb3ielyMshALsErfj989rBOtBlUGyErieCkx7ihRniqmN8kpFya4eFasicJQuazxXxJ1s+hsgnASG2mpFwAk1Efh9VgM4ruL2228Xo6E3vOENMvk89dRTsXr1anz84x9HT0+PqA4ea9QKgf/D+J8KgGCE+teg7t8+CvvtNyDEAoAStkTx+/DX/YYQcO5rsbHcih0XfwGpYhnNb30vhlaVgQNfd47D7M4XxW1QtNcJIlxyE4DxKQcuW97dW6rricCNk//1Bj1OFlcsaCczVBzQooLuv96whuh2Pvas1wog4r6kAjicXCTD2Du2iM0fDawy3nYWhnppUMMEYTW5sTPleoB+BVPjQJPTvpeu03kUc8d+YFST9sx/AzOOUcDvWy5UBD1paLzxwSMwBNt1tOjvx67ULlySqEPHy8jZRXB/zddPWV0vYMSulcfE5NzarXa5RPAT1EbEvE/MPFYWRh2PBCZ/qp3+aq6HSsDcT4DM7VogyHlMuTWBB2WyKHCVvx/1s5BgAlyc08dm8TJ+xHXHHMvzuTmq/1k14Y/+WFwDKzGwRc/Rjpuqn0uuPGT7keUbKdr9qfnqRIeRos4/hZ+kwHEGV8R/0C/Cv9aGelgWlaNTSu2Tn3Od5NYiUhQVRUrbUtCKwEECWIPnnO+pgD3rgK4+FRoSiWVnG80gjoLHvOFFMM3HzqGuxXEeJ9hq4Dvf+Q5e+tKX4p/+6Z+wc+dOnHnmmXj+858vIkPbtm0TO+JjjVohcJxEaPUGWO7KGeze4/Ww7OrY5bOZa4mK3LAluvxnb8LQ48m1DiM0+llgwgBtbucuyHcDQwYAL6SdXQpkY7L2Zi2MTBaWSZ8jVp/Igi6E3N0K2ls7ceW3ky/vufYu1j9bjYxu+vDyF8SkwU5wYgkpbw/rIpWj5G4RNhKC4a8ELOcSL0fifN4jOsYG3fR4nIJcD8Ns0520pnOvUUBtgmtgYvWwp1FR0AD7RoD8EnDvPn3c1b0K0GOiys5rsuS+2csW67sA9PQoE8Mb9/hzw9fc2gHTkIQV9D6TM/f+DW437m7HFcvi7U7XIQTM/kh/7sWdjh7R7nfz84G7P1MF67n7Wzo7ziyKVr9pIvjSAeXINpic0CKFq4WFJaDLrWdYBIjFbxn20CGYhkCBMz8mtDtTysG2KPbDtMRk/WOS9ZXXlWhdfnGJr+sHGkMCqJTPR2s9yuPVzt9OzAODbsTPt4HU1XJYWBSVc+GnRhQBoveAaBOw8FtSkGbCCQfJ2kVXJGI3PDunBQOLQ8o707ei82kwTbUioBYP/Thy5AguueQS+TfVBUl7ZLS3t+Pcc8/FLbfcgjVr1hzTY9YKgeMkRIL4uR8CvvVa/YF3D+T1/eznKCOA8ZuPSbdq+NZKnirR4VUQ2uoAVwdDxTxeiw8fdZ1uYNddAXJFYTg9IM0reOEmRYsX53wee0bSSNk6JMwSNvQ1w7QxYZXF1KhiNXz0e1WbWu7OOYE46+nAPd9WoBgn13TXC0SCHeM4R+sZ2M4mmFNfDOz+opPh5TSjWO06xcTG2eqKvK9a8RquDLg/XvskYPYaPfaux8PMfdVNMRxdksWAT8SUJC57ExurvHQCz3jfcXomRNXu11P1RKUvVC1ImGjZjbMzJ9WPfHzehsY+9Ejg/dnxs6MXYKOX++X74yYmXG1wTO8FIuDeu6NTai29g1MB7ejtRVPqVthFGd0wsO1lwD2fVDlnqiDSF4CTmWAhQ2fCe6dVLOi89fpeUYOhQFdAihCJRBlQygJx2iSr5e9QfxN2ff8FSM3MIdHchCFSSnm7pFEmB2M8D9sQ0ZUODYv2uclDf7sDs1J3wq0g+DkgDTLjzn9vH7DgsA18OyfmFC/hg3LafD84UTowCivCTAboLYhWg1nlLJ1rceLFCcAaCEapVELY/U2vX78e1157Lf7u7/5OlAXvvfdeJOjncoxRKwSOowitPRvl53wQ9huvk4uuiTsr3b3/rfQ7EbQhSItjY8qrhmAKrpNiBzuXBzrIDHdrXCbraUrMOiti6dDCsDJudzt//tw/LmOGPvQh7Fmsx6a//UF1Z/zJR2KolfQWWst6hD8rEQcAXLdapWK5Q+/aALs3Cgxr8htqa8COp25CqlRG8uRmAYxJEATJfJib1wIkl9bu1vveB+WXqUXvpwaC6if1cBOwdFf1dou3AN1rANMDxG4D5uZ1bM3xMztMAhDZXXLc7tH5LDpYBPBckQmR5vqE+Ar3p0OGABNW5VgCBRW7f55LJn5OGIhx6H88UN5TFfoJxYD42UDOncv+AaD5UcDYFfq9nHsVeVrGYmBwzZB08sUCtGwGJmc1mbPrl8KvsWotzCJtzWrYNavFptkIvoHgxTywYUP1cYV6R8ohDZ2qK4GhNS1As9JLpQjg+fCfi0gIodOrkskm0gAbIRUzJHRRXU0oDdXy8+HPbbxBzyUvXvwSvQr3nAUWryweXbEVLFYPqZcAJgk6HAYGMq4Yq8UJF1Wj0N/9/sdRNDQ0IOo0WSg09G//9m84+eSTRWCpvr5e/AaONWqFwHEWJtoFewutYg1whusqZbUdEvMh2xzSpCBAvSZ3oc/pDpcdGQVW8keA9Y8BokeW/xEQxU2tf+lQC2LNa8hGILdcOPoNMCYNdHUitdMJ5LhIFTmezusu13fJTH5MABxtO50jibsu08TGBNwdgU0XMHRBwLa3q0n/sCmlzDvt/RJAq+b6M4CF6zVRD6x3LAHXUZIhQL+AhZ8BhE/0XgJkr9cunyEj5wX3/T4Yrhj4NbsccSsYBI7t/Wvg/bq71SmPiYuvic/f1e2wBx3axTPZc8wwsg/odN0pJwBekEhc/ogF+AWQ7FVeP4+llAPmKLjkggl7gbfhWiICjKlRD3fvhUIIkUd2ONe/EAx1H6QA4UnjZGRBizAi8mn53Oo+H8QNMDglWbNWBI5sx4XA1LX6/nihJ/96Y9QwcBbWxDwQPEntiL37A1eMOYDjRxYDLZx4BM4jH48rJXm/OfFgIcLzzmKmCGMcvmUqDWxeD7QEErh3l3THQnok0iwMLEw9MQeksj4bOPoFoNsdd6YmjlqLEyc+E7AZppzwbbfdhu9+97syJXjuc58rhcKxRq0QOC6DSRfA496je9pr3yKALVrlci+uZm4qPGS5882GRP610lBlC8DeK7Vbj1NDwKHHK9dT5ypHYCL39ZTVZWJpahD1OF7fEx4U5iJBNzo+AQsPYg342CwMxCXQPyzNZ6hOWIZpiMCe1Kl6BfunYalfT9VCdrMLBITR0KZhuUjO/u8BnZ1AkiT1EEAxJdL5WoiHiGkBVCwIf12MeYjI9z4GIpW8CONxFj5Wr1quRkcpW29lLNRKZ7fH88N/17vz5V0PG4MURcoSkzbIcTW79CUH+IsAbWQnEIBI3QVnsLNrp05KeKxUW2TnL53zvGMJBMSYensRjZN9EWh9OGHoXafnOHEuMPMDYPMm4OBeYO06Z+LkVg5UO2Snv3evdNE2fxMMbY09Gn9yHDbZogmcjIfpCV1j8FgX56teFVzb+NXM9LScB9n/U3MiYmASy6moEgT3yfMEVik+/HTHHaO8lqDBkEgZUyNCndYEj1C6EfbP/g646bP6XE99Fwx9GmpxYsYJthpYGQMDA/h//+//4feJWiFwnIXpW43Qh/678m87P1zN3xmVhZVue88C0JQGzlgFiBJbGkZGxCXYQxlga4uzAV5UGqLkW1X9K3PcOpKF2ZDUXTMjmwcmaEuroMOhwWbs+uQlSC3kRYhnaFUSmNPRfWm+jPCGDr2oU1XOBxPRhJOR5T5a8gmnFyGYOgtMOvU+8tOZKDnWZuJjh+t1CxYyQItiHCSxcQPBIoCd9N7Pys1s5yDM/NXOlpdFThGWK40f3Qb8+XmSkPzmQqYSQmcjL76pmqjELMgdt0jyLunv6RFA5LoPJm/BCnAawiTI/b5bu/AFcq8969YJ0inXVRUaBbipKxwpFoxzHixyGsNfU02SzAA35eFPvWIeQXeiZ8BEyfXFD6vHdNKzgOyt+ljNHUC8FRg9JIWKIYCxvQ4GdbDTMw6Qx2OLycTAiJKiM0biqF6Aem7ds37QOaAc1fOWWtAOnSqULrj3R3+bHjvPGc+NrJcS1YmRr0jb4wC1AIgN4M8SbVVDJopA3XkzLN/7ZgowaeEp71mxCHPo67BtDcDZb0Oo9/Tf4y+qFsd9nGCsAY8TICjw6NGj8u9gnH322RgcdH+rDzBqhcBxGCwAKsHOfZydolGPeJ9kV8dlfyyucAyOb1sJepsDqJ5Hid6jo/IrKxUxu3H3FzGchdnSLAWF8Pm5W6acMfnw1ADIjUpnNpSMwhKLwNvR2MV1sOkfHUX8sUD4TO6drdIMuY9np+c1ijhpmHV7cjoeMqlNuYSyaUD45MYbGJEVwA68FAbkA+4++PtHFEi3/q9hMtdWFfx8cA/ffB4w92MF7i0swn79et1LX3wS0PsY4NDnNNFSl6DyB0W/g6PODZG8/c77drI+yNIQTMWK3zMJMokdHq4mbq4TOCGo3wqUDwBDW3TawsdubIAlaI/naGJMDX3qYzIOlw6c6olM7H7CwuTau9ZNWVyh5GPmuqoYEU/4Ykp496Y5p6wEF5Z79vQCzMPW6gieKwDRSnDFD99PmZY4C2kftL7mBMN/XoJB8N/ULNDdIcdoM1kYTq0YgXWLTbZLASrqg3KYnGCR8VAEqKrJyVGkBBOvg90/BuxTWqg9eZ06bBIEK9iCnvt/X1a+TcMHYbMZFHfthIkaRNatgsGcMk87t6mSZy1qcRzE9PS04AA8MJAuhMH41Kc+VSsETshgMeDFagQs52WE3YWcHxR2YtwdrWmEIbOEALOBHtiZ+UpCtomoFA5mU8Lx1+thmBw59iXFi8WAyNQWYAtlGHbrsxxnc6RLR0Dd/Safugol6sD7WQVFY9jRMtmzVqmg/l3Srq+DGVoHu2pRds2GojJ8Hck24JDzpedFn9r2wSAgjkVKJKGP3blGJgNGuPjORnj+OqVLJmOwzzhdE1hjXPnuB7+tI3w5TD+iDtAUvfiPR93zXAapkfIaIkBTu95nKevwAmFg914tXnyyDP6xTv1MEfkHqZ1ANkNP9TmEveDOGzEe3uiI0xCet/41up7wCVQYE+y664HRERXXEcoj9RP4eQgBTLo57vDdVILOiuUSQuf0qmog/QaoWyDPX6oCEUk5dFx/UL2MhYFXWBSrY2eLPMNVh9A9qp4U8lkMidCQLbFILCnWhOf/cBp41AY9voUZLX7IbhCKowVmhlUsqHKOnTASwYut56kGA9Ue1zwdmB4RPQrTVe2Ayrtv0LttPBd29BCWbr4Z+X99I8J83fx5IozQ5jhCZyk2gSqKeOYXasXA8Ron2GrgYx/7GNra2jA2NoZu4pf+AFGbCDwEaIV46TckCdm5/cDNH9SL5gytbHOwJ7eKpDC6Hw1MX1u9I6VzxbUt8BEQr/mSAvQqfgSUF+aONw+kWBBQHjivCoHEEPj8STQ4n5MI8TXtAly3E+OaV0nBa+oEstP6HKkFcZyzEQITyzAd7YoOJ/itQKGhDEyb4/AHdvxy53t3AGf8NTD1Y5h1Tj6WAEYelyTACCwTSozWv7QgpigNO+08TJKj/TonUuN0hplQOIpm0hK6pIosod7hAvhYIqPMiUtdxf1PX0gYlqj6uiVxO5Qigd05u3dX7NgjWaCDuIAALpNrjNnhauFGSWTef2Ee+NUO+avc09eB1PQ0ko1cu8SB7l5N9N6euJfYgoi6LjIo2MQxuxd7oltiE1co3O27IoNFwCq3S/fFGF8jAXo8z5w28LVxCiHnw/P3XTHAAiXn1jeipcD1TElooPLa6IPB4rBUgiUwcSqlnf28E3KKkUEQhe2uF7aKaSIA00kR8xwE9Q2IZWjgBKTBUSA5TTLA3PWVwsru+oZOXW6fB17xNSkGSjdeDnzx7XKT0rmPR/G7/4Xx3xArArSe3IRoTz2iWyjnHKqqM3JCUZyHQW0qcFzGCVYIjIyMCFvgD1UEMGqFwEOlGOB/ezbBrtoOO30AuNxJDHsdgN3fVpleHy4JCRL7tGcDd31HRYYIBvOgMHbDItGrCH7Ljpg/YxHApOANkfTZl3ezjOk00Nfp7JGnqt32hueouMztn9TbMflwX21c0iJ1j7djsuru0eTD10HAHRPUglPl8zH2LaCBXPVIJUGhSEaEsyH21Qofj5MQ7qr5+pj4yIbgGJ4qgCX3OxYHAgys19vMTquksIAqXcdcl4Tla81PAvkMbEuPTkiIH+Aaor8bGB5HKVNC6upxhBqjSL68WfUZOLan+A8TUIhFABMvjaZagcefi907D2HzEz5feXm7/vsvMDSQhKVIkAgsRQEKA3FCknRqiAQ5yjTIURv534nDes47etRemNbELEKCIROCOlUJXKDTH22vB7TIY3EyR+7+kvscOS+GwHTD3j0Pky/D1hkYGg4RMOgtsmMh2CM5oCkM9DTqeoi/p3gQpz4EO7II8PoPyz/VQNHAbD8DZjNQvuV6WTGxSLVkahB8OHvITbIMkB7TXe+331V9iJt+qPLTTva4/hmrECEbRgCIBqZd3dzs5rXLRZZqcXzFCYYROOmkk7B79+4/6GPWCoGHWNBpjV/2ec5ulx3w+D2w0x8WZLjZ8lKA/O7D79cL5Ja/hLnniy5hsqNz1bXXxg/yC9MFlKfyKO7LwlIN0FrUnaeGPSZBEByTdRKGWgSjs04/3jEJ2todRzwH3OoKAH7f0S77cwGXZciXJ+3MjZb7nuHkgqm+59DjPE5PeeNePuQthR8FZH5T7WLloNjBL7ndc2G5tC5H/7yfxwVQ4Mb9WxzumAR91yz6CiuuFu60GKL2GTQQohwygx25CcE2xxE+2aB5IIbs9TPA1IIjQQSKGE4eiGWIOklma5FeaRq16xDsYlLFj1hclVXR0HY0wPQ5JgKLlkTSCQ0yiTcB9cQ9FNw5I1tDvQq4DjJdXTqa9+egVBQpaXnNC/MwtDzla6Q5kV9bLGSEUiqiVHz+FCdARnwwpm9dRHJjCaHZAurOqK5wzFrKHDtcgHgs0E65AHPgINCzogBYmIHlpCqzKNiAoG2zWb9BpjpIdMDedBvKvzyC4kgWURpW8XwRVzE6pjcm1ZQMFGMQTUTQ/WedwLomROjRMVJQ3EyXx1AAJjMN3P1+2FPeCROrCRPV4sEXw8PDmGNRDuCcc87B+973PqEOXnTRRfehC5JFcKyWxbVC4CEUwiBIj8MkepbRqWySe1kHzDtnK+zMQWCWnR2VCD+hF12uCNjhe3oaZYPZ4YnHgHug7hhC+TLqHq6ThfLkUhWMKEp95La7C2wbEfjsDnPaJbMQYPcXnPTzroNPAcZ+qCN4JiLa+HY8Bhj9HnD0W3q7BnbofH2zumsmzU0yqitY5LFIX3QUSD4Po+tJwPQP1fo2SBGsSBAHRIn4XybZHooDOT8BHg/vJ3v0FX8qxUWYxKnAonPwY0L1e3EnbGPYiU8chWnPCx6SiH8bDVekBaoHQyxHVs11CE9ocYZKLhJJOilyhO/MpSqyxpyOzOtxUi1SHsvCliMqTFhwjn8y/lb1RXtkBJjMVUV7BlZrd01MwDz1E8IwfO08z1NTWnSRLcEkTqonAXt8HCoHHkmrAVZ3CJkfzqH50jZEu1d01l6dmtMM2fOXgFhYBK7ks0Psw8679EZLeVkdlMdSMINt1emLvFa1oCYt1ByeR7g1hOIBymJzisRJRUmorXZRfSyCoNFoc0QluKNh2DWucA1acXPt5dcntTj+4gRYDbzxjW/EV7/61WU/+4d/+If7ve2Xv/xlWR0cS9QKgYdSEfCdF+q/SQe86F9gVp0h30tR8BwdNduRYdjPvQZmjetA+bO84/XzSk1xFhYGUQPD5CM3CKwCmJTc9TnUS3qgq0aZpISaOKndZ3OT0hLlAMIrEpILdodTVwW6bUoX54Dh7y5HpDecDUvjHO6Fo41KF/QI85IBep4JTJBSSSfFNEy7AsdsJREyATUCzRQ2ooPjtIowMclR9pi/Z6LrbYehSJF/zQxK8fJYhP/vgIN+5ZC6EyDn3q83hBWx4qLC24opjvt5HZUdLcCR+dnrYEjLI5CSMsTuHAyt68Cua16OVGoR8dw8hpLs2Euwazucr4IWaIaMBQa7fHb7FEMangQ2bBTDHzk/YY9dcMfGlchJ/bDTKghlxDnRHyt9JQLvD3fzJaflwNfNnaSYUwWAfHI/oO9velHXzucpKW6AehOcCEmdY2HnXdHItzXmMBZcj9DSWkCCLvjZ+dU0ysVp4AmDCLUd0emMLwquvE7dLL1G1MFF0VKK1HciumEQZWFwUGKZx0t7Z6dVQF8L0mP54eU6yHsa8DOYdU6TQd2GWhw/cQKsBj72sY/h/e9//wO6bYtQgI8taoXAQyXYUQZ12a94A8pbXwBEWxHqH9JEWLCw73gJyvUG4UAhgKOLsL0NLiGXgelFGgAAHVUKmqWC3LCX12XyoaFOHYzzCbBtlPR9Esyd39Tv5zIyZbBdreIvIGNpmQjwouzGxRxnM4Q+11StzpmsxL0u4ZwAbxekP+7ZD5yyNZCoPQLPi/6UgH37YQ8fAWgvXLpXVQ19/y8o9wjQ2gTscDS6tXQLjMFIR08KnVtnCDoe1XEztex5TLQA1gNdPuL3XUVQBte9F8LVP/VkPZNjR7VJ3hjXwoG0TpkIcCLizgepmasSQI6v3RVTszMwq9fpjp78fdFsCOgZMNllUrqPT88A5UUtDMSFcK3eJhKF6epUumhHp9JF5b1xSXZuDpZrmlV9Wth4O2kpcoqqrsj1hEv0kmgPplA4WEDdWa0yQbLzBRgKPXVQOlivsPaeOaCLJlnUrSgoGJXgwbqiJGFLkSgmaWouyLlQRoJ4HzBJR5fEEMqOzACjjt7IrcV0AfWxEOaHS2hZslj4wtcQm8nDFC3qyVBoCMEslR09NK7KmvJ6lPkiHxsBgq4wyqpFLR5kwVH/sY77jyVqhcBDJThW9pEtwqaLwMfep/mxi0I2IeBxr0M+VURpvIRYbEHHo51RmHgEWCho1yTdrwrY2AnqtzcqWt53yj7aY0Bz3MkXs6s2wJHL9XlIIWtx1rm+2yeKXPb6zs2PF2QmIFLsmKyYnCrmOG5Uz4uzJGW31z3J7eMZnY8D6nqA/FFg5vLq7Ql880BDPre48bmLPb8X1UCnVriuW8GF4lNAcOOUJh7h3ucVDOh0FCrmRAcP6LH29OqOPZ3Rx1/7FCB7i95mMa3aCTw3HLmzK29wr2X1eiA1A9y8U0GK28IwrQlN3iwEeHw8BhYQK8/H1BTsLgXIGVLhWKxJx02XxhKskOIJAHXTCwZfP9cAIffv3KLWThUjqRwsWRz5QgXkZ4+OCJOiAqBjsnRFgbBUOb3YM6p4kroQouu8s+VvkW1f3ag7+7G8Gk3VLQGbKO+cA9opeqRJ2O6ah53KAicnYM4ZhKFsMXEdbR2wRSox7tVCp1RGKVtG4l/eB9vUiZbpcUy8+C8RyS7Bf0rbL2xFPWmwTo4Zs9RhIJaE8sk8N7ZaQPGgT3stTJNjodTi+IoVq6Df6f4P8njzm9+MjRs3ioSw9xm4v5iamsIHPvABERV66lOf+oAfv1YIPETCNPcDz/gi7MjdwE/fs/yXzGEli8I9t2PsNh1l01In2hlFtKuuokwou2uiuvvcjnqxAEs0+ugsTG8StiuuO2p6yLe1qCoe78QRMhN6gxObYdfm1gGGO2yOX6kwSGS6mPA4ZDsv9CLBG1b6IAV3vAwtky9R7gMvAvKzwJRzV6Q2P9kBaUcjW0YvpOThkHNJXKjqAPiJgX+dpKSd/1LY0cuXJy4xFaLWvdoXi1xzqYQ9MzmkjqSQiNdh6LR1TrOhHJAO5slMAmGnnZB3LnmcKvA1032P3fvsrI7s+Yfc0qSYhNv3wZ66FobnjV08ixJOR/gcRNX7oHDS9IKoR+anCihFwoh0WdT31AMtCU3cHKHLNMWZUfkYOwqsWq2JUIB7JdhZyhhboMtZHHuHSAbNoNaQyeCodTK5scBd+4BMTvwnLDttxwIplyzCjRSvKsE6UStOWKwYIYVg0kb1lgSDYrBnLofUAYtELIKNg92CSbA0pEIJppUXuRUXZlkXTTitgqi4MLL0LEUKMA0hhL73z+h7ejsmvqwCWRKrm0QYS15vJ0Gj7ufJ7cDUjW4a4Gy8GZSqrsXxGY4V8nvd/0Eez3jGM/Dyl78cr3/96+Xf5513nlgNNzU1YWZmBvfcc4+4EP7oRz+SYuFYjYdqhcBDrBjgl+09CaaQRXnjj4ArvljRBDCDG5aNgiOJKOxYHoZjaorBiA1t9a/C5igCUwY6nM47kwyjKakAvk4qHJaBmREF1DFmZ2D7u/W2TVuBmVt1r+1D+Oim2rU7x0NZZ0xMwyQagfXPUuyAeCrMAns+p8lt4IlA7g6n5OfFkzjmpZrdmP6sZ5U+DwsN0awn7iGtk4iBJwFjP1ItgOx1qmpHVD39vFkE8HEJRGTEVUNgz21HsPm1v6wc/q5vtYu8skwxODLn/TmJoNlRgwLRkMirYQ+R+wTV8RhJW6S7YX2HaijQObIpAcwVYSi+5Dt4MQxy2Aa+ZqLovaNkyEgRsOvf3bqCIoz/vg31reHqa6ZGgkw+6nSdIm8kMQn7tYij5wSnILNZPbaFRZmKiDeDKAkWVZGy1RWD1ESohCu62GE3hmE4EeC/eV/ejxRCT99MNMHk87DEWHB6wYKiIYo9oTK2vOeO6vn83joMrY7DkD66Vu1TaUIlRQrVHkUm2hWPfBhOuvIlmLxF+KcfxMyV00hsqEfk3Ha0PXwRC7eldHtFK2Z+zhjDOSBXgl2VgNl7na6UaN8cTACx+6Mw1qIWD4447bTTcP311+Oqq64S0yF6C7AA8LFu3To88YlPxB133IFNmzYd8+PXCoGHYHi51PCTNqK88RzYI3uAxiTqz3syVvVsQuENf4NIbx3MZkX2Y5q+8m7cFOwkD9D6dx44iyN0Jq64o+55h0G3S/e7fkY8DsORN7Hls7cvd7YTHf2iJqb8EqwvEPhzGgnRz4APS2Ag1e6YsKe+p8fIce7ENUBrn/67kAHqXKLj2iK3CFsuwVDXn48rtsqOGsckzLjrS3rsfSwWpDXWn3MKMDUDdLZXpxHsnmMxpIJeCcyLBSr1tVbFaILtiJ9O+FEji4Uumv8wGTYCqzepE2AiWWUscN3hz4m8Fu7g3RqCr4G6Bs5NUhIv9fUDYfdMAAPEV6SrLn71TpFQErfRPfzYHDCfg2HB190q77np0ceyNKESfSQWXtSScDRCLz09N6tniu8Hu2hxwQzB8vbcyAiIMQI7NgssWphegvGcAyaxJLw9QZGPG0J653KgYSrrXqucRqVFkoYq2BMWTnzag2mggROSkjyvfBZZ/HGqTzbBmjhssYz6zjpMn96ITDyMuXwBQ059kSqYSBWBmbySSsgi8HHqXwMtG4VyW4vjNE6A1QCD69HHPOYx8kW8zeTkJNLpNNrb239v/ECtEHiIR2jTuQC/XNSfdz5C//QeFD7zVlVu46i1lR0pEfdE+0dh5/PAMPnjBHVxZ50H2iiGUw+7tATDXToTKiWAmRyCwckAKV7+3wx2i97D3gctjZm8+UdIgZ2WNpgW/kG7BC1UQOcdIEh5J6GcnnQo9qiTzS2pIc7ApcCtlwNddOJzwkmztEEuAtRO4Hj5to8oL57CORVlvaJqCkgzWr4P2C9JYGEg4vQpCO7uOQJXOGXV8pjHzKmJp+FR5Y/B1UFPvxYGXuHPc/e9CFBQ05+TAXbULKyKNIQKoWGwEZvftw6l4YwI+dS3RtRaup4FDMGTjtUg4kpUVCROIQqTbBB7ZgEKptIozuYRdYUA2hud4iPxHkYR91MTiq7n66PuxJEJ3e8Hwu5IIXRSC0ydu4wQFzLUHXAcLMBkDsFy0kRfAVIjo8svunGuE4hRIJ4kGoEVoZ84sOoJwM6vqKkRpycywl/xWeP785QeRLr1dexqDuOkj++o/G7HUzdj6Iw2YF8GmC3A3k6pa8A+sUeBiIzRy4HZGGzD38PEh+7z+LU4TuL4yOV/0KKgq6tLvv4QUSsEHuqUwtSY6goQQyBo/mGE+vtgQ2GEegMUQvK8PTiu3gBb3ZibwYuxT34e5EfhnjxpVwSROfdC7vsrtsOuuxPtfTfm5sXe295ydUCkOIuFivFMAMTG56jQxhw/v/vxIi0Mjn3bLwWoyjf1fb396E9htq3T7j5GmV1HUZNjKAK3f0gfv60LGA8IC63doJRG0eyH0/GvIuaHIhFR9ktlC0g0N2JDz/LCQA+bBUSAg8TzEInARutgfBGgLXVVXZGAO0+JiwRoh5wAMLyuP2WDadzjpXDr61C3iny9GOxvJoHJJWCr85EYOaKSvDSckkJKiIqVa6QlnY9ofWr33LKAdhpL+eMnwyPv1jQ8FX6Qw/M3m9L7Md/SW4IrI0I51jQif824NOjh7qblWgviyEhAY5OjZy4JCHGolMfOdz8MqeEMEl0NGKKYUqZ6FTfEpIhDoS/U+DgQNUJbH4adonJjWey3eTEMx6pFWSqIc5C6huuKwPviLKXLcwWEyYihMRKLUFpHz34PNvRUINIMU+dwH7WoxQkStULgoVwEfOuvRIhFctDTv6B58Wt/JRfmhpe9Fpj4RvUOSUXbG/L/OR1g1+pjoF8umHZsRLj4trUNZnFR1dwIFGx3aGuxnGUi5YTB2fJmHCWMtyc9TFT33DidyZ5dbz277ABYS1DunupFs6EE7F27Yco/cEDDemCcTAEqIbqMJXQ/SvDSve+w6tuz6CCzgesNBicLtNalB4IPyud2DmjyzlK3nwZK0jrr9MCEMbRW1Q+VyliAnZmSx5HhhZgpcTcfUk0BFkUsKpjvPTtCrIa9cRG7bvdnN+8Md5iMZHLAYkytk22WIMpAo8Pdvrf2lZF8CObsDlVkNFRkpNmQo8XJO+6697kplH+zE6WbJ2VdE+lhccXPRwF2rzMa2kBr5XLVTjiVhl3frce/kIbpaIEdp0+EK6wiBvkx/XxENzUhRBfKXKEilGSpEDk+AiRjus5gQbLE80pwZQRDPLwWvt9Gd/Vcv/CcMqgmOPQ3wNQP1K1xPiUugbIGIB6BRaqIKunJsYtFGD4GYQkr3BATxCskuX7S11lYLMtkpbQvgzhZC1RqO/XpAHbreR/5os52Bl9ZKwaOpzhBVgN/zKgVAg/pqI657dxBmOY1VQvgL30Q5bY6mJObFc3dRppbSMFYYas7WnbHfgJAnXcKBs1MVzX3mfAEMOe6WP6czn+uG62EJEqX6Jn4WExQ5jbkJwbOxa5ye5dAl/KwdKE7MFr1TPBMABEDcqA4JvzeQUl6lT2z6OOTBpgFdnxRH198A6aAtWvp3OEMerzGgSoVclVh6uPVpMSph+f58zk5xairU068P8f79gJr1knBIp1sjLS1vAMrsgAJFDkCrKPaIrvVugqlT6JchiUdkQyMOfohcCzP/XpUnRc5auftmuJizLTsAsZiYu16nZ7HTwcyd6j6ISWmV7ch0lgW1T3cqjKlbSclVIWPiZpdPtv6YLBAW6IZkB6XSTTBZnKiKpifXsK+/xiX07zh+e0yKJBknysAB4eBHVUQkz17UPf6Ik7F9w8ok+tPYCGfsrMLhqJC5PnL89LEqVUnG5yoyGQnEPyszhcdkDUMjORRpjgTCSOdUez8t4cjtVhCAmUM9cRhNnbDJhqAVb2IEq8wOoUQ8SWZAmw9py7tMInHK5tjxMly1+L4ihNAUOiPHbVC4CEawh54xCuBX1+mP0hPw6x+BPDczwOTR2HvfamOeDPU4M/DHsmIEIsPe1YfTJ7c67AmYVL9KDaTz8FmykDD/fz1MGFmZqqAO3anUhQ4ZDk7PCZAJlM6ATowmPxucUG7e47xve8Bb2cLsAOdQDNtgR2q3a8X2OxlqE2fqY7UmdhzOVgmELEYZvJhwqOsrSYsQyQ+xXGYwjz7gODE+phqBlReD7vfQAEjbamB5f5/elKnIc5eVwRv+Njc0dPgh8+WGtPXw9vI2oVt6VK1QFihPaTFlWICFMFPWh8LiYhMCyTtt7ZoAUEjpqm06jkwiJmgWBKlorNOspdR1+Req+4Vlz0l7YIlSfPLdVUsAAlM9DLT/Pk4JxfiMqCeEvekqnl5Ig97zzzMKupKRIG5FXoTon8wJ46V8ljRMIq/noHprEP0rDaYA0eATQQ3loDJUQV2ZgkOPA9IfwF2bBqY4apFtS3ks0Iw4k5qDDhMQ869Z1mLod5GLWLPfy3sns/D2hBMTzPQ1ogQ3TPvUoqhXU/GxhLwgzcLocT82fuBwVcCi5P6ua2xCY+fqE0Efu+oFQIP4aDEsHSupGNd80GUE30IDZ6lY2An4iJAKoq0hKB8eVgk6sIYCqaMFQA6WyhWxWaYOKkV4M1ryCBg8SDKdBzjU0zGJT5PueOaIBgEyBH5L7gBN01YmNWu0AZoiyuAiXZa+fqG3T//TYDc6X8Nu/trmkgXXcGQLijCvbwg9DrbkagC3KRDL6hhUowOfRmdEHD94BK/HA+TJbnm1OLnfVgE0BY43uSUEpkoHcCxmFXQHpMwu/98WmWGGZ30UbhCb8dCKAg8pNQu8Rj7F1TMKFuGWdekxRrBbYLCd2h+YgcmM7ATtDlOAAmaCBkYsSXO6zHz/PFnhUXYng4Yaitc1KW0OvoZRD1rggJGROvXA6NzAUVJ0hmX790ZdYkw1j0hgdJ4XoSoSiM5hHuoI+CKCfoPdLUAjVEY0F8hAhxwU4LBRtSd59gNc0uwbfUwOxzAj8BVfkZ+81anYOkEqDgF4OtmYeRvtzUJ3D6HwqFFhHvqEeqoU+kKTgke8fdAuAXYT8tmCzvYrvTE1scBuFUfo/9S4MCPKmsF/OQfgce8F7j7ffrZetgHagJDtXjQBq/rV155pdAFH/e4x+GUU07BwYMHEYvFfid74loh8BAOk+yHffR7gP/6B01ulB1+7Htg4j3Lb5gpYcdYFid/7d7Kj3ad0q0yt7wAc7zux9BkFjAfE2kfpAR6sB2TGX/nTYH4cwF/WdcNM+m77p2rB3bTQeoLC4W5Gb3f5Jj+nkmdEwm4x2BnS/fDu4alg7UdMQXT1VnY2z+nnXWmgD0TWSzMLyEZCWNDyai/Akf8mTzshl7l71Pwh19rtsNQhrk+AUtMAYsKWfS76UY55f5LOiJfq1X54lJBaYsFdq1O1dDLPbMIEP36wAh/4Xon7OOSOgsY3idWL5z78sSiYg/k/oHCh//m6x6fF4Eigb2R7cEOnAC6uZQIC9kjVD4EDEfdPL75lByzgDILtEB21Eomfa4ggkHU/mAH7MR8JUGWMyWEaBIUsrqPZ8FTH0LD6gZY4g12ZgBOBa4cB85rhWmmtwGPLq9KhQHsB4ub4u1ziG5WvQD9YeD5tzwTaOoCbv8ELF8ELahbOEkY1ukVJwArgtiD0kIBoTVkOPA8hmHv/TTMxAxMg2JRLFcvtgBMfb16x598R7QQsCFAb82u8FCoxfERx6mgUC6Xw913343BwcH/Ff1P98H+fgV8l0olPOEJT8BNN90kxTd/zkLg0KFDeNe73oVrrrnmmI+lth15iEdo4CzgUa/XETOZAV95LezMKPCc1yhIzLH1crRzDURq1o3bOYLm3lb+nYOlVGwi5rp+5zMwwS40ELzwMnEz+Qsgjkl9GlhYAGantRAQUNwKkA9/zt03QYUiAkRKY1YLA04deH+K8SzmgX0TMmY2WzpgWl0HW2Si0jHxnrEsNv/jDTj7Pbdi8z/fhD30TwgGX7cf+zPyGVhvwEOQo4QrBBjUAfB39JTH1lbBO5iW9kr3rXfjf8mSYNJ1qnyV15irjjLbO4GmBiDRCGvDwK5phDKUU+YLyAD7FmHJfV8qCa5D+P4LOWDvOJBKAfz+3gVg1wzw1auAa3+mbn4HJ1TIh0/LyQWdH/lereoHevvEZ0C+Z5HFL64OeBzTKQUf1sew9PXD8oUpPSf0JTCjOeDIIgwTKPUIuJvn6eG/ExGZDIikLydOznoY/ByRfjrQCDPYhOhpdI4MXLw57vcTJ7sPNvVrWE6RZnL68yLdBEMwHU1Ad6NsmeRcjGZRmC7A9NSh7kxSGJ2F9ngaOBgAgwaEsKhCiC0tyogg3ZKThpOepxgWFkcd24CHfUC+anLDx1H4v6ff5+tPHBQGovDP3/7t32JoaAgf+chH/sfbv+lNb8JrX/taFAoFcRecnp6WCQCnAT4uvPBCjI2N4a67AqvBBxi1icAJEKZ9fTUVDcaAr/y9dE44ZxXQmQDGF5CgdkAg4uIzz8Sq30tiCUf0YsruilMCRokX6iIwNw/LHTtHzqLx7yYE4urmTGrY5XvAnye2cV/ugW9MTkxk4vTHbpJqgk8ADl4BrHKCL+S3F+k4x4QV+Pjyb7kxIqhwiuWk5pbbDi8wifEY+DwcWU/QwGYK2LxedQjmR4F5A9vSqesMdrJMEIJzcNbGHkQYaYJdIpKd2ANy5BMKTqwUAhxxE9y3oOeCKowspCj1y8draxOmhGWC5PFG3TkNvhai7Al2JPJd+PssLLgSYBazsLOLwOIKXv8o6ZthGOIFeOyUKPYTCY9L8CFrGor2pJxwEM+/WvKGOmKIPKlX1x0RA7tYcG59ZJMQFOhEhchkiIVRyJYRbQwhNF2A7S7AkEWwbwGGQkciSc11CamQ7v1y95cggJGyxNu3w04dBfYdqWo97Tgg7zOnETIBydOxcEmel2JIdY+oF5GgZUHBpemcFk1re2BY5PQ9Un0gslmY9GHgpAA1ds/X9XVf+C8wyZqoUC3+NLGwsIBbbrkFHR0d+M1vfoNnP/vZohb42+I973kPXvGKV+ARj3gEenp68Fd/9VdIkLm0oohhUbFz506cfLKanD3QqBUCJ0JUulmXmEnBajXA0VngjGcBbVdjqFjAzg+fL9zrZGMUG3q0K7OkFXpnvbGUjKOFxsVOWVTvSopwZ3Q7ZL8PUR2MaYfPxC4mQ+62VBZk4cDxLZkBHZ2i62+cNXAFK7B0O7B2iNwvxTt0dMEsjcC2sNt2z8PjaaF4jgMaFkuI1y3/A0mI3gGR6s53gKA0T7cTzjrPSafbXR/VY+/a4KYC9LnlOSSnnaNv2vUWYJloyXwQgSM3XRBmgQM0hjlZcEmvoQVociqFI/thaTK0a0RpiaQncmQfr4fdv6DJs1jGnrYwUkcWkKiPYIjFS3s9DJmNxHxwjx8cqzfVwVy6HcYsKWhRpJxdocAkzH9zquIwD1LkSUceSMpJR2PMZhEikJC3o/mU1+NnB50twe7RET3XSamwQWpnAZc8skWSdf7GWUQIHORdWMDwtHfWKwiRhQCLCToTpouwXHfcvQCc3Awj4gUuWADS12KpCEORI76MhZwwWkymBAzFtXjiBKCvERjJKr5kEzUAwrBkWNAGy1CauQGYuU6nTdSP8OwITi2CET/2vWotTtzVQDqdxje+8Q3pyl/96ldLQl8Ze/fuxeWXX458Po9HPvKROOussyq/o1+AD3b3p59++v/4fH19ffjud7+L73znO2JAxILg/mLPnj1o5aTyGKNWCJwAYdoGYJ/7IeCnb9IO7+LnAjv/C6B18MHvK3AuHMLGzUT1F4Al1z22NaiyG6/R9JNnN8oLednA0nGQ+vzcTfvnYWahgp9w5g0wx+7dAfG8wEwwhmdg25VrLhoF0Rgs+f+rOmBEJtgVIVTHI0jPCwSteyxM+r+102ShQUU/JtRFUuotbDKKobEQdjxjC+YLJcRpbtPXCLtrAdhGhcSwvmb5g2HhYAOiRk6Vjz+Pnw80dAGRJFBaAKa/p8h7AeKxGg/dd4Ugx1tQNkMkp5RCCY8VsCpRnBsHtunOD7vHgFOfCMS+D/TEYO+cx965PLZ8Y0/lVO38m5MxNFOA3dCkmg8Mvh8b4mpg1N8JU0jLKkDAjKR5SoFC2iRV/nR1YifpXVACVvcpG4GUxQMjYjAlZlNhivZQvjmshUJTFCYWgR3JiC+CFBW84KRy2H7dgcrxXfkTi22Neg7qduUQagwheX4rwrEQlrhOiIVRRwEr1gg8rqQBfj4ixYLt6ZQETgCqXbcKmHKrpmVFpYXh9ipXht1NVgETf1yv4Xm3QnCW2OJ34DulOKmW+fte6x/+BmCan6ESsOalNYnh4zn+xKyBD33oQ3jve98re3kC9p73vOfdpxC44oor8PSnP10cACn/e9FFF+Htb387/uEf/mHZ7W6++Wbp9pngH0iwgKDR0Ctf+Uo8//nPr0wEuDJ45zvfidHRUTEkOtaoFQInSIQGzoS99D3Az/4JOPhdpXP1UPWNHXhEB/XiPsiuLTBGnl2CpUUx3fi8LGuwiOaInj9vimliEQ4/AYY5lSMmu4DdsZjZUMo3AbugxjCSFCNRWI7FKaYzkwFiDToV4HGRFtjVo4h7Au98zN8IDK4Cup8JFGaBvV/XjpeFQQOTfD3M2Q0Y4pMQdc/jHSFgjNOQKAwR9wzPRpDXy+kALXLrgGY3GZj/KbDYCCQukGJAE79XB3QsAll3kELYrCsLoSOyE44C8baq7LCM3nn7JT2XjQ2wHjTZXgcz+2uUFy3KN88BC0Uc2rsc05ByGv9StPA4eexkC9DCeFH36Xpkfj3hKJvtDoRkQrDjo7oSaqxXoKS8f1q0GQr80AGQD8Iky7E/n4vTAE5cfE6uC6EQNdh7R8AZkbYU8yVsbzIIN4QRagih9eHcxatR0MJPZtD+6MCFUopCA3N6B+zCIky3Ui/lfSa+pKNZMSX8WXNMpar5XvL44SYN/KL+wfp2tWPm659I6+0odcy3iEVrlwH2DMN2x2HoJSE6x21A6yog7c7BSvBsLWrxP8SZZ54p4/fdu3dLIbAyCOZ7yUteIsn6fe9TFsrDHvYwvPjFL8ZznvMcDAyovDjvy4Liv/7rv+53ovDbgriAxz/+8WI01NDQIGZEr3rVq5DNZvHNb34TjWzQjjFqhcCJFE2B8edCEbh3GnaoWbq0SvgxMENGyGWAyUlk+S1MWwMMm9zxWdm128msXojTtCFW0ZsKp7/Daf5zJF0uY/ddw0jN5pGIGAz1k99eJxQ4Ga8z8TfUwVDYyHsSeGaCHoz+h4/tMQY7P6HPJ9289yaoyvGZ7TQyIrbBiOyuIR5CxIoClD1Ge4c+bnYOCHcAEdIW+XgcS0fU+IjDiI4n62PPXOESOyl9Ud09k/lQr+wHm5sDokxejn4oiDqO5N06IkYdgolqMcUOdjEDk4gi/JhulH40jsFNjcDe6iGS0inh1zTNTYpPYNSRJZGCFWxAHdDZB8Q7gPkqCt6KeFFJJjtCL2xzkxo44JxQJd154+1pNcxEyzUDk/ZAXF0LR7Koi4cR9/RLF42hiGIGyhYhrmVoZ031Pg6W1i0CY3lZBUi3TrxJjoqADYqlGKZN8iqdXDAoTDRMymVYmAnG/zxN4auoFE7c65tEPUxni3T19sC46glQAppAw6Y6WBaHd+zWApHnj91/R49OkeragHXanZl6V/jV4oQWFFogGDkQ9fX18rUyfttY3scNN9yAkZER2eP7IAaAO36uCmgn/LWvfQ3/+I//iI9+9KPCHAiFQsdkHUxwIe2GaTtMF0IWF3yO1avpCHvsUSsETqTgFZ6jYhHQIc2tpGItC0uS8GlFG6K+ABUGM6T9Aaa3EbYzJRRDxCKSrBjc54NI94YQ7HRWkdlpJ39LWpsblUv6jkSxZyKFza/8eeVQ7nndGRiK18vzmaE2tcQlAC4YkcCEwT8YWQTSgceq3Tg77VhcO0dqFHidAk4jyMGvvHbHcuBag06K7HSZTPnV5LjtjKlRoI0VuqMCChPBAGPfdPoAyxkWIhq07Dw7hUUWVeKCSJVEKhR65GVwuU8RnzonGERgXEjEdja2RbDj+VuQZgPb34ghguCIC2C3vkidg0Ax4/b+pr1drYc95ZE2voLNcMUSWQrEPxBsODGhWAfiMqi85x0QWfylllCezulbyOQeCcPM5oU2iLVx2P1pnDLUiF/aXswXLEwugqEEVwl8r4CmwQb5PFUKnXgE2BaHPZLWvb5bz5OBUnEo3H1QzZFidRRC1tuxCD0yB5uhI6PaQqPf6RUwsXO6MTOn529oNTAx6oSH6FTIdRFxDiWgxa0Q+P99zwQa2isSwjYzAlscgWnqe4B/RLV4qK4GBlyn7uNtb3ubjPOPNXbt2iX/3bCBGCMNdu6k+fnfET+wdu1afOADH5Dv6+rqhEnwQOKtb32rTBg4GTj33HN/6++OJWqFwIkWvPBSt7ajQUb+RJobJu99ygKwl/TCDLTBNBdlVysp62y6DEJkYf1FvDKi5gWZX/w5Cwvm3bGiIsFTo4rsD1mkvKCMi7kbZ1DiRT8ZQSQegWmrh+1LVLntTGhM3KLBn60aEEnSpYMe/QMs0EhVOo6g3Sjc2w+TiZAjkt8lhg39ijVgAcOExYThpX/pPbDKjdPEdGepOsqXbMj2k1LK1MOnuBCLEOIAZvWY2s6FzeypggbFZjktD2dksS1WN2qdzMREHEU6rUVZkiN0YihSQKOFzRQQOrMVuGceGz3Ik903EyELMSok8v2i4yCdFhl+MsBVCrEVuWn93nczLHy4quHI0O+Aenv0+sfpC0GPPNei2uhMniIhFH4xheglnfcFUxUtmtY2YstcUTcJbRGUi2UsDhcQYoHJfb9nCPDR1jYi5CcZ/Nx4y2GuO1h7iHhQSDQKhJ3CwmGgRYoAiXwB9oYZRfc3h4SpYDavUYMintfhozCz07A9A8DufW6VYYEdzmMCadhtLTDnvQyY/G89pnWv02nSL/5Ovz/jLXpemrphGmurghMxjhw5giTXly7ubxrwQCKTych9mdyDQawAf+cTNr9+l9i/fz82btz4W8GCW7duPebHrBUCJ1DQc90+5hPA8J2wn30ryhSDYZymegLLimp24x2tUgyosY1T4QuuDvRRlUXAZMuvsFFwGW9HzruLOCcMgUhQJa41jPAFHZJ8VJ7XVB9/Ma3dLP8wyTRYSAOrB4S3L8UMhYfotjfwWGDP5VooMDhGZiJvbIBh3msNAy0tYnNr0yVnj+sskf0f6vpnAHM/1QQYTQC9m3R87jNgtFEAeLaZqwFS1n6kt5X9P7EMdzqPBSZRnosCcOBO3cuzK2dC71qrNsQLI06YyE0ZpJtnNiWWIYxQWzPsPrcLd2HzBEGyEGgC4nUw6Qxse7ueMyYz/8bx/Rk+rLoPgo8Yqo7/hS7IQkUBgsguqW9PQxRIlSraCwtzWVWW7G5EaGscpYmc2vwSJEgfCjlWIwOJ5jXUQNBLiPgJlNNoTEZhUnzfmmD3pZG5fQHlfBnJv12np3Pc0U4Zrqg0iwVYFpPUuSCdkG6KzYkKuNSSOcDnz5aBu1LApgTQ5hgYtLJOJmFYBKQ5vXHF7orPm6wHVn5200eqWga/equ+f63NsOd+sFYMnICsgWQyuawQ+F0jHo8LU4BfwWJibm5Ofve7xoEDB4RhwFUA/02gYTD4O+IFiE041qgVAidgMYDOEqwg4x1ui2jw5gjAC35kOc2MXZtpq4IIlErGDo5Su6TVUd+eF3ca5tDoxyG2g6p4ADa2x7DzFadg4s55xAvAkJexdXmQhkYVQBoflyI4/AHH/RwJc5/Mbp6dq2cfdPUCczcAHW3A2KRY3lZ26P71cj3A4sBrAUgzSnXAICDy2ioGgY9fF9PumC1oTF39bLkAU9ihiHeeu7qEYgKW0kCZNEqXkDmxYLcvegVxTbp0MfS4hkxKCxXiH5i8ZCHvwJH8ho6O7Pj5OiiS00CXQa865o4xHnc0Sx6HARacvHJTQr8yWSctnYKJusJJThlXOXXA9DzsTfv0GDe2w8xnpAjY9MbrK6dkx9vOxsDPFL0fenKPOAxKp86ijwWBw4xgXPEcoe46hGLLLyeF+SVkXLHZ8PMJ1G2Ja0Ln/eqWL3a5epBEzcegeyE/VwJEbQJsFMhzpeGCU4c9h4G1q7BnOINUKYTE0iQ2hALvKd9q0hiJG+iohxnsAiZ/AGz5e6ChQ1ch93zQ+TYEgKjEWSxNALWpwPETDzKvgc2bN8t/CSb0fP7FxUVRB/S/+13iLW95C7761a/Kv4kNWDlRiEajeOYznymrgWONWiFwAobpGETo9d8E7roVuX99AyLcO290NDd2c7EAx3rl34hTAxQAF5H+vJYzueRIL6QcsLoDmr4u2Pk0MMnEVxaA11B7HdbG6xBucfK1vOhyEkFcAsff7PyJ6G/lKsIlPbHdJdCrDBweVgAijXcYvIgLsJBI8WYd+XNUHwwmRrlQcLVRBwyP6M/bmwO7ejfxYBAwmJoDEhQWYtGh5kWGj8sax5ZhKRjE4BqAxcX0mIoDxSmxywlAg/LXVw1pkh8/BCxMiPFTxXeBtsfTY0BPv9M+UDYB1wRmsFMIDtIhs+P2ID4yDqghwK6CTAyqAop4EwuAJlUtpCkU/Q8IiOtbC2tIyzsZmPslTGEJ5WQC+SsOoX4TpxxsU7RoWSCoMhCUZq4EJwkNXI2wkCkALAomlmDiYdgZ13l3RFG/JgY7VRA6qJlzYlSOaGFKZZT3pNSciOeRnb8rHKxYFXPYopgTmSSJ+p/rplYOofh5bYpi9z2HsPm5Oupn7Pznh2NIWDAOd3DWoABSzeysFhYMFnjleSDvVlUsQLe8FIj3Abs+DAxsAFJXwTb1w0QDuJFaPGjjQVYH4Oyzzxa8wWc/+1mhGjKYwIvFIp70pCf9zo/7qU99SsCFL3vZy0SXIKhFwGkqpxkrBYYeaNQKgRM1YlGEzj4HsQ98Afjyq/RnTCai306xGQWu3Yf7TyU3doa06A185jhmlhE6XQWZnCMRmOYmQbfbQ5OKBOcHbnOLjoc53T+lV5XtyAH3D9TaLqp7lYQpwDCnKcBEvqLjV/Aj1wG8wMsdFEgo3zsXP7GScwUC1wucLNDwZ3YGiLOzdy6EDKoEHtoFTLmCYeh0GE4ICBIkT59Rvw3Y+209pq4B2PQicIOCgOyl5yoafs1GJ5G7BDR3AHPjuoNuuwDY999uUpAFxg7rZMObNskxNMC0xoGmAiythwmWE4BnwKOAiY0/i7cC3UOaLY/yGOjIFwHoSSDYJ65ofqPPPTGGUKiA2F8MoXzvuO7oxxZhuxoQXyGw09zVgPqnJMVtkBgSzwhQtUHu2GMw3HL4QmC+iFAyAtNdB/BnRYvo+ia0vzAGu1RGmFoCKd5/EdiWRHG2gIVPH5b7lBeKSP5ZN8JTSzCDMV15sAjCkrBKqB9hz2hGcVda1ju0MuLKI5VdjvLmZABrWvS8EqdAVoo7BWi7EIjGgRv+Sc+9nM86YCoFTH9UDYdYlBEcSk2KWtTit8Qvf/lL/PjHPxbOPuPDH/4w2tvb8eQnP1lEg8LhMD7zmc/gKU95iuj/ExvwrW99S6iCq7xC6u8QpAXy6+tfD3hm/IGi9ok/AcNmRoFfv1b+bR7277Av+yjwy3+GufBReoHc8WvtLmO0ltUdqgDUeAFecA6D7F4l4XpnwQhwdAaWHW2IoEE36mbiXtej3+dzKhqTzADxmF6oywTeke/dpYmeCavRdbweWCcH7RI1L+KZRXcMTJzkl48D7Rzhh4GuxwOH/hMoh4DJKdHPxwVvBEa+5kbkjjXBaQaf03smCKWQhY9D4zP5yyTC4xf8CJ9d9K+ApaxqG+QI+gsY13BnX+II3ZkTVaYOjkJYuBPo6gNmJpxds/s1nyCo8jfQp78fG9VzkHe/k5F/BuhbpUBDHhenFVKwqSkT9Q6s6DKMKL4jFgBU+qCE9CLlmAl6LGKoowE73nA6Zq+fRcu5rdggk4ayUgHZsM8toTycQag/5nQjOCwh2JHaCBaLtyygcGcaiUd1ILye6xwCSUOIsHjhc3V4YGZOwaXRMkpzRfkKt0ZlKhQabERxbBG5G6bR+MRuHdRQ0CpbkJfJwqK8Nw17cBGhh8WQpIZCIBJb1gI0lrp1l8oYzzhhIn6+5D3jhKVZ5bGFTeEKKhaaNJVSIAzQ+fTaNOB4ij/xSCAcDgsLgKh/mvwEf+7j0Y9+tGgN/OAHPxCswGte8xoRIPpdY9++fZicnBQmwvz8vPz7twVvcyy6BIxaIXAiRma8Snmb3YXQuotgW98L5Lgrd1x3KtQ5kRru2Ekzk9iwStz6bIoUvZCwAgRwxp03xX/GxlVil112s47wZVwVYldbBpLNMEl3MaaYEOmIbefAlJzzIa17KzLDCoCzR4/qyJwrA168x0eAwTXuxTgNAh9TVwJEk695PjChYh4IB+h+flcfoBNKsNtlscOx/rqTYeJVbrnlSD7SCMspBRH5FEBq6wKSZwKpG3WtIWsRUuZyOtpuJjCPkwpXyDS3O3peWV3vmk8Fmi8CSmlg/id6GwEcutfkkrbp6YUdofsek2EgkbMQEuMmDgHIXnBgQho0UbDo7L8AFq7T1yUzeioaJmEnWBw5d0G3DrA5C+zPYgOd/E5vRSltUV5YlASNLpULFhYAb96TAOYWFZ/V1oAw1Sfn8vouZMqwMeok8Hy4aQ1XDNmS+A+IE+Bq7vwtIm11aH3poNwvSgthdzHmBMLSJ2K+CHPaoBZs97jpjJyj6jkY6qjDzg89Aql0EQmqR5YnYKebgDVtwMFZ2HVnwKQOq2sjJ1IjpEyGYDauB6bGtYh9+GuAwq+B1DVA3/O1GAv97oCuWjz0JYbPO++8B6TeR1dBagb8IYJURq4XaDhEISKPFbi/4G2odngsUSsETsSINAELi8AqJu5vwTbRwe8koNgDm94PtOwEsnT/U7MXSUpM7KKjb8UND/eSSqdhT2N36rADvE4XrYi5LPv7YqdM4J+PaB0sFf12HwbqhoGt65T3Tj1jSYYOrCia8SFgw3a93647FNwlUsbuCtA/UEXhS7J1srrEAQg/LaCCx9E6k87WZwOz12liZqfIBMAxPlcVTQFbZC+wQ4ZAwXWNE8O646dgT3MbTKIJ9pFniPFSpcUXhUF37hgc1/N1UGiIweIi8wug/WnAuJNIppYBv9JzSjX0wcnL/CIsx+V8zMEelVsm7U9kmN1zxBLA4BAwOQKMXKlrFq5waJHs3kezdgh24U6glAO6mZRJs2THXEB5sYT0r5Vyx3skH94Ce9WY7PxDG5oQaqeNcRS2Q6cFSDvhqGwRZdpCy7GSlUAwYASmtQFoi8EeWtAiS5yUKYwQBdIlKQb0XImygUwvwq11aHxar1Ieubrhr9ck9DGXyjCxKHD3HMq37EWoNYqNvXEFqUqN5XQJWOCt64LpeRSw8BmUJjIwY1M6HWmikqWVIleiMQl4liE/Azs/rM+56ZVAfUdNbKgWD4og3uATn/iETCIICOS/f1vwNscatULgRIxi2nXATnDltnfDnv5mmJatMC2nw25sAvZepkmRweSf5a5Ww8RjsOwoOa4WudsoDLsrXkjZqRJkl8/DzkzBMLknKIO7WKUf+pEsXQupRuglf5eFQ5pxXcAxuM7mFShHlgBTBwF60gmXYZbRciww8R3HJy8DY9/VbpngvrFhff6lH7tOkd1+FCZOzINTRiwvwc4ccCqArcoQSI9qcs/NkxAMzFtgYLMm9EJWEwsnHUzijKVFLSy8oJCXJl62KuCPCjD9p8LKqsFlpJZ+YHKXHifVzsQIiOeK56MBpq8fyHqPh2C5xQRc7xQPS0CyXQsWThQYnKiQUklMwtgIjCXgUFkepPjx6z7BBN8bE2VGJn+K+4jY1J4FmE16zkvpIhovaoNpjCDM5N5UD7OK4kWayE2/3k4KGeJPqB8RdXbFXvDJv+WsmahxQXqpf4WkQPIzxc8S108DeRhOlyo3cOd1/VqYkvtMsLjLcTri9C5YKJQsctdOox4RhLm6OeelQOpnWpyxICPf1D/ekU/pIW14U60YeLCHTBwfRGjBP0IEVQ4jkch9NA4OHz4sGgVbtmz5nR7/9xFmrMXxGtTFp9McL9RMNEw4o1+CTe2CzU3AxDcB/c/V2zJ5M1EKNc5dfJnwVyeAoRaVF+bfEffhLAbEOY/WxEbXCR7ZThlfqvlR1IbqgO3nw3R0AmecrFbAHMnLLnxRL+JdT3f7b+sQ9sPA9FGAiHiuFFIZ4N79wM6DwG07YKm3Hwzy5vnHwkkG709wIHXs+Rx8HcUSLLX19x4F7joASylhGgSJkiF9CzglIC2Q4j90IyyKmiK7TklRLY7Sx+KChQK5+yxaEq36vJL7S7AjI8DkODA/DSSpAubG9K0XasKevVJWDoYrkViXflF3oKkVSHYC7b0AjZg4Wuf6gWsP4hh4rPzymAYfMhEhvbOuagFd+V0Z5ZkUip+/EWYuA8wXgO5G2OZ65PZmUTiaR7QphIaeqDD27HQR4bYYIk/fgNCqNqWGpvMwixQ2KKO8P43yoTTCySgiXQ0IU+mPhUUPz8FyMRWGIe0vFhX5YgkBQep7bOfzKE4uojRJjwq+N1XWgtROnG7w/G5YA3P6+mWaAPboEnD6NmVs+J/1rAHK98jnIMypwfYXoTxbRP3GJoRYJLEQnb4GmDqoLJdoC0xDN3Dy24Chl1QPukimx3JQYi0epKuB3+frOApiDug1MDY2Jt/TBZF4BQoJkVHwu0RtInAiBkfcUgIy6dHS1qHWd39Efm03/C1QT7la0tAadBQ/41YB/BkTpbe6bG9TtzsmHKnM2ZWSiy1SWlUKmADaAq5wUSZoNyr2e3sWEqIOyP23SwT+9l5m2Ff+AoLjuoKAwkKVn8/ig90yH9OD+GTyYYFD+zSBsDMmqI6/W9cNu5+Jegqi5yu8PZbgdVpMCF7BJTUWIlQ5bOGUIHA+g8k4ykQXql5bdozArmmFIQBy8S73Q4IGeYzUTrBqUVzIqC6DJD4q+5E5saQFhHgoGJh6R+ELPidvR6Eiot05e+dtu7uA+Vk9F4tVd0gpVpYWRcVR76sAQpsqINQSEXQ/3w9uCsrJOpkMmY0BgRWyQOg2GQ3BEIwHFkaAOdvJ9VLjn4dHDQmeu26CRIvA5IR7XVwPkE6Z1fdhoYDd6QJSc3k0FS0G7qJ9JBB75iqEEmGUj9JvoA6h7auq5+Wnd4gYEvqbYNN5sYPAhlaY1KwUe5afAfpXJPt0BrPtH4BIMyKxHtitF8Au7IHZ+5nq+8Dj7HgqENHPM4sB0YqonLNfAXniXf4MCP/+YjO1qMXvG5/73Oewfv169PSoAiZdBy+77DJceOGF4lfwute9Tn5/LFErBE7EoLVuMEaPAlueBdifaeId+aIm5IFnAJNXVJOxXOSpWx+qJnARHfLduB+BM2m0aqK+v2B3N/Xzqu8BBYPm3Uhddt5ZYPErivBmEieWgJQwdnEsEqIRGE4Gtq7Vw5qeEeVAKQp4O17Ig52wIMUzVb0AghmD0Z3U/fGR8erP1q/Wl+KsdeXVsWhi5qO2AM2GfMLgzxwwUmKxBHvzDv236AvQ7Ii3dxgFJniCDFm80AlvZfDxR48AxazuyqmdIKsVoDw8LcJGGFoPU18PU0/nPh5TAsi7c+gLp+kRLcToMcCYnUIIJZhnbAWmplRamnXS6gQazuKI3sLEI9weAL1Nauub5HvIYy7CcJrCHT3xg/xdrqR+AT44ESB+ZHgKdnwOaKFoFAuyCEBnQLmto3QWLPakl7DlX6rqaLeeNogNnvLX1gSTW9AJiEgwW+DwFDDpPmupAmxjFGZrnzop8jMi0tBUDMwC190AbH0CzOpNTp1xEginYegXIeZPVJzs1ElUXTtQdOcu0iKrAK4EqJRoFq+7/89wLR488WATEvgjx+233y40RQbNjShURLdDrgxYDNDEqFYI1OJ/D+Hm83JP2VbCwiyw69uauLt7NbGJY1tS1wgcm7MD5SidF1wZz1e23stDtPypquesY3nBFZpfIPg8/B39AOYcxWtlcNfNRJmi4I1D4LMo4CSCSY6rCP9yerp1ncBVB+8nxUlBkl2l8PByviJcRKfEGJBKyWPLRGN25fjXJS3y/HsG9UdMqrxfK0WAOE1xIDxPK/Sx94DQ4+Qhtg/CkNoYowohi5GqO6KIHcV7xb7YRrdogueRcqXQ2e+KIsrlzsKOHQF2sDgoq9HO2BhsWwdMY7uyCYh3qGcxYoHsbPX88DnGJ4G+s4HSuOo78Hjb20RB0tKchyJFAmx0WgXymqz6RLCI4bd8nvn99/0oEbdQ+cadNn52eI6zeZh2Vg0Wlo/NKUCqoO8BSkjJVKEahY4I6jc2w7AI4QqhOwFs2+Isls8Crntf1aeARQtxA6tfADQS3FkGrn+XKzL4GaR4/NWwM5cCTb3A3vfosfE+iRZg3fOA3PXV8f/cj/Xfnc+rFAMoEW9xCRCm70VtGvCgjT8xa+D/OlpbWyvmRd/73vdw/vnnSxHAmJqakt8fa9QmAidqCNKc6PkXArd+BpbgNorXMJH3eCe2RqDxEuDmf1HUt1PoE10BSvoyMdOPQNzuvE2wdpZyQ+65hfc+o2N/JlEZ2VOcpwCQC+vFWzw9McpROcfd7C7z+rzc8fP3614IZH6mD+9lkMlEEIS+UWEeBu8r7nouUTMxzc/Bsqv1FsfUImgkfsFpHC/msGc0g4WZPBLREIYi9SqtzE5+9GBVO8GP5FncLNu/6/mxTID84rSDkaAbIDtqJlsnT8zELX4DBAMe0mKpbYWJSEuPPsfobiA1o2j9Lf0w4zMwIQs7NwvDRF7MA92rq8wBnme+RywkGGQ2xGhBvE/PS0ubUjdlkpIFjmYkQRtOPnicPezA+f5YgAUW9RwYDTHVHaD6I+mBXfWiCWByZZTvmFHFQK91QNXAdo+T0M9FxbWSlMXeJHBkVih/wUgQZ8Db/3wM9pJVMGR9ZDLiFmlv/oxerylNvJX7fPc+tPbDtGyGnbnV0TfpL6FTBbtkYG5/D7D2aXpe+F4OvVItiFlYjrlCwCtFBoO4gNTl7sB+dzW4WtTiDx20G6aM8B133IFf//rX+PznPy8/Hx8fx9GjRyvTgmOJWiFwAgbd1ewpbwBGPiscal5oMZYFmkqwvQZmfEw7pw5S6dZWR+A+POOAyP2RaZielqr7H8fYDCZvJjomRV8kMOExcTG4O2blSmYCQXjzKb3QcwROSVgB+eW1s6WkMG9/+ye1cGAy9tgDavOzC+zqVhAig2N6HsupTsBjMQvLycd8Tkx7gqGHZrF3NINNf/+rys93PHoDNr54Kwwd/nxypUIgd/J0FqSqnejl+6DvQh1MLAZ71hlAZl6KA9OS0IKGBQiFj1jQDJ2sEsAyVcgDjR0whZ3VY+I5EuEj0vQowEN9gbK67XUmNeERQU8MBrEWxBsILdGopoCwGxaqAE6ed56zjq4q4FPeA6dDINMATm6qvzMEkwZvy/dz81pgz37Vl+AagKyMRgMjdsukmLrzQUYJf8fVwMpp0FpSGqOiALhxYwQ7L4sjddukGB1tWJ8ADuh7WEqVEUkWYCm8ND6P0k2TWmAko4j6IoAx/0MBTZrIPtitDwd236AOjfkiaPzI993s/Jre9tx3wSSrqGrb9jR9rQ1rdBLAiLgVT3B9tHKVVIsHV5xgq4HTTjsNP//5z0VPgODApz71qfLzW2+9FR/84AcRoxDcMUatEDhRoz5Zta897eXA6HuB1a0KBiMYqzUJ3Pge4MzXAL3dQCate3b+0XScAVPYLXe1e8c0uYkqoP5BifoAR9BMJHwOJlvub/0OlyEJPQTLnf+BYSAZETtauQ87eMr5+knD9EyVdZdSzrjp9zr07hcsOPzrYVILWoAS+Mef8fkWi7BT9DSgAqKbBnBiTXpeIFKkynHCzIKD921xBU56VhkDBE0WFwNqjZQfLol2jyE3PRmvrjQEFRmq+iaEaCfcAMuJQoR/tCsuRCwOpg/reeX56NkATB4E4s2yzrC5RRgyILg7b3byyLk5XeUwRK+gzrkNukzPYsTTO3nsh6gPzNWBuwSQQSCSzOTYk+vvVPtYjPH+CRowkZYYRnl4QZQAbVMYuDel04PeBhEpEuwInzPi/tvbq9MfHmNdveISxsdhQeZHHkO9TWqcVC4LWNFH5qt7Ef/rjcq4nF1C+kZP9gfiW1sRGWyE2XgWTMxREzlx4etqa1Ur46PewXERtpkyyXr+BSvAWJoGDn5SRY42vhGmfgVuhjrK9/fvWjz44gRbDTDOOecc+QrG4x73OPyuUfuEn6gRqvJQTc9pwFPeC3vXe6u5NbOoF/WRrwPJBOxCCmZRk6WduBGGI2/upXqbdTLPfb+sBdxfVW+Pehas1g7M7rhFrGWZKAX9zXKB4DMyDLatVZQ7KW8VzIBDmItHPeVgLQozS4gcVD0DSwe8RqLoy8BAJwyTooDyiPaPqDwyg4lUvoo6uRDg2IyOsSeyQn80jVEkKJUbiOTj+2AGO+7LeqioGK64euw4ANPvdnOcctA9UbwRqNLYDDS0Ac0DlPFzboYlTfiJfl0pTO3VCUrSrQQEjk/RIK4Z6oGONUApA3T2wowe1uMZOwpMTwGriCcghqIeiPfoVIBFEdkTxmDP/mmkMnkZxQ/RYVJEoZjg3UqlUmU5oCOoFun8FdaeD7vzCuCuPfp7KkryqpGm0qFFmYZRJB+w+2+M8CcwTd5ZkuwIp6Ugnzl+X4ClmNUtzvSHcXaXYA3Kk3kUjk6hnCoinC9j8bIdYmwU6V3+3oQ6Emp7nLwYSA5oEUD8Ap9LitHfcmXPHQX2fsVhDigb7bQqCnPAykKAmAC/EqjhAx7cIUaWv0c2D+G4i1KphFtuuUVWAfz3StMjqhoeS9QKgRM1xJPejdI5amYxYF4Pe/WbAOa+YgE2H5axr52ah51MCY/eNNcLStty5OyU5WRfS7Q4uzonC4wjo7om4BShuKQIdBYLsiGg5XGPJDNDShsvyP2D2i3zNuzcOPqendcu9t4FLI3kMPaLBQw8rlV8DwTLwMS3eZ0o+1VAit5lbnYKlt1sLKYNAwsX6W695DGLHVoGF2EH4hjqj2PXxy5CKl9EojGCob74cm3+iVHtbJngieYXbwINS7wBd+fB4Hng8yX6xDtBipcw/RZW3E6PSB9T6qNy1TugnloB3JNPaYEjQkjUYHA64qR0SqKNA7E4DJ+LD7E4U7FF3rN/Cpue+e3KM+361jMwVO9EfHjxpOMfu/dmFlAULAoDmTqgd4O7x5QzV3LfUoCJb3K+BLtYRsnZDJvGsFANRU3QB+8nbn8GaD8LGL4W5cmsYBzuc7Io/dvajNL0AZSX9PekEDZe2AabLaHhSF5uFnnuBoQ7G4C+R2rRNPv9qlw2n2/902BSt8B2DwJTozJ9kCkEC7rCba6QU2VBQbIQjzL+Zdi6V8OQPRCMWgFQiwdhTE9PC03w3nvvRSKRQGiFMRxdCmuFQC0eeAQ7QV4Uu08DHvFa2Fs/rMloVSvs9ALsFburdzmlBWiJa9K6YxTIFWHP7K34AMgFlvQ+D4a740ZNmiL3K4+ge22h3zFBDKgCXFD3n7H7qFrJ8n8dUWBqCcV0CUeunEXv0zoQ7YwDJz8LpniL3p5/DJwwEAhHeWTuxw8eFbEieZVTOrqX8TdR5cHTcOsMcFonhjZ26THJ2J2790J1ItBGa2SHbRDgmZwxPW/1UdiT18MuzMPQDlkeNAzsuAeIHQLOfYwkILITLF+33IlmR1w7bABod9u7GZj7EcAkziCrw78/cm5Y5KzY/Q2sByZGgJlRIMYOth82Q5Eo9xhlOioHpIrZ0M9mgM0dWpiMU6PAak3DwUA0rEXSSQPLPxcDa2CP7NHj4fh/tuScELlaCLxvFAIqEdxZUkvhecfEkALvWpRGM1i6+igaLuoA1jTq+9veIIqErMxMPITI2S34/+29B5hdV3U9vs7rfXrTNLVRsdx7wcaAMcb0QAihhJCEEhIIhISEEDrkl/wJOBAghG4IoQZsDBiMAccU9yrZKqMuTe/zej3/b5197rw3simOwGg0Z33fSG9eue/e+97cvc/ea69V+rlUhRbT2owyMskIP7kdWN8KX7dVkMzcDRzYCd06uLwCQEvEpjVQHKWkYuWWl0r1K/0DcWZksnRwh4y80i+iYTzUYYVilbUGPvrRj6K1tdUICnV1df1GtukqAqsUKtIJveUfl24vuRIOf9qQ0nT3VUDmp7La9RAnea0KjM4CXLXZVgHmMtKD7uS8ek2SAMIq8aHGaYRy3dVv/TlWQMgrTzOIFIADD0MzeZjklEDDviqFgz0BzL+kHcmIH0Ey0k/7I6jDX5Ugw5YAg9Sk1QFgAGBiwFX6A7tk5c95firbcRU8J/3w8nQJAQazhQrAAO79NZg2g1gyG30DltlJQOQ4I99nfhro7pcVKPeXlRK2IngMNbvqn7dz6ayIsMrBfWIFJFBvydBiGFPfbjjQAJBbkFaC0WjwRJTCdrQvBrQPAln2uRUwdlSqKWWSC3MiU3z0fpnbJ8bHkMxb62SLpB15ZNvGVHSUH/rcF0Et/ASKny35FPw8Zo9YjkbN8EkUP19fALopIeOGtPnt8yPA6QGT19iAukN68JqSxHQppL8BJx4Wc/AdWUBkSwIYZ7tDARuaoTbbygNX74WCWBnzc2LYnrDfo7AfvtPtBY9JGKtFPPfhOFBMywimkYLeBpW7VxK/9hfI/k9QN8D6UJDQGT0XyN8u+7z+z4EoHRzDj6wGOKwcrDKy4OjoqDEV+k0lAYRLBFYzjikpNZZpTfDZcVhW+Am/WfmpdhvEGFhZSu4Ky6rOxAv2XC0hjgGRMsBz9HoXtTjdmoIy8+MN2vB59rLlPs0SdytJiXlSvWXWnJyDjhiGJwvY+q67lvZw9w0fwNCOz0svneOLrF4s6Qow2PO9F4AFEuRYmXiUw6xqBM9olnn1piaopNUf4LGzP86xRAbfiXERzSFr/9htmOO1REBKBGePAFmS4qxOwtJ5ZhC3gj/eqCOPeW50uUfC7IQEYk4c8DncD8IflARC16DZIjACO4BOMDlZoC2TODuO7Vi+f5Uahrpi2H3NZVicLyCZDGBjt01wGjH+A3k9tRQML2Bg+SrJTB34gK4uqSTEwkAmD+ybMi8j56Naop2w555IKgQFiKpWlrhUHy30QF8DfsbkUVD7YWpCTIfWxBHbKC2reCkjxNPsMee+/2pg4Wfi+0DSa24BqqkbKO4AEpdB+WNAuB+6bCsj/HzWvNwoDKpQO/QTRGRIxb0xWQeHlYNTTz0Ve/bUq7S/CbhEYJVCl6aBgx+U22v/WlZa+QkZEyP2f8nKBgPqDEuCo2mMp/HO4EhBGPaUufLjdqZnhFlOy1fqEswaDWEgGQGsHKZZ6S8clWoAgze1+U1uUIbeTQngGrDZPncxD5WKIZOpOx0SabYADKVfAR3dYlxEW1mOI0biwIHDsrptDkMzsB61jHMKI5HFT6vcdoiTXXerBJlSUTZp7ITJPwjICCO5DGY17BMVwEDMlupLoglAoSAG98ZRO4IthY3rgZYBsx1dXISqVowrI2LnABPfMedA37NP9AzYY2dbgy0WJkdMJrxEoDAPHeswyQCrLTrWCU173n17jJqf3rweKrMgn2HQ7j91FvIlE6Q3NlMLgSZIVF4ssckoAZ2eAPEEFOWcqxxXtGV+I/NM8mFQqhDFLNBa9zcXvoPYRBviJ72DbpxE/Bld8K9jYqNQmyrAl/BDlSvQPE/HZlFbWqG2nQ34ylbC2n5G/E7Z5zZf2ITabXMm6fRd1PBa36yceyo0Du8C+nuh+bkzJcr8WJ7T+iKoYCt076tln9l+Md+/NFQkCfjtVITDyscqaw087WlPwxVXXIGenh5cfvnlj3Ab7O/vRxNHix8DXCLgAOQngfv+WQIIKwBcRc8VxUCmUULWjtqZm9MUzpFxOQ/GgZDSr2ZcUEOXq9IX5yKYveqmKPTeg0DvGjNLbiYNbCKATBZg5YE9dMsAVgNrgPQCkt58ukWyeAfQ1wG0tEsSYHaIqoFRGVHs6wLGp2UUbn0/NMcfY3FxGOQ+EuNj9dsMzvk8FNUQPTLfzKQIFFELgK0B6gcwyJqKSbD+Wk4S8PWcfli7RUr7PCl0OwQwvHcf0roZyWAZQ+sp0JMGij8Eup4JNf9jGZ/0WbvnkSNCuOS5CpWgOA7nSRrz/a1EsfEkYMXisicKyZCtAX8Oqkskl83p0HuF5DmbR222ZFwE/aclTJl+6fNaSEvy5I9YoycmVLPAkSPAwDpDcpTqDf0WAsDIiH2hWALrqRKqIwXk9udQy5AfwIxAKjOl2+fMQtzwAVgN4JegxY6StsWBjgT07BQU/Qvo37C047Ul3gGdDLXKmwS0dngevtM2AmsvgGLFqHUt9PwYQBsC7tv8YalCxeh9QdnL8vIEgKimgcz35HbiKpcMnCxYZa2Bd73rXcZt8G//9m8f9fEvfOELpnXwWOASgdUKMtC7XwZEOupBjQpum/4YuPHfgZRdHRpZWGoAWNvYIMVa6NuekRVhfxhqjIHLD03WOUEyHld2UyXDmeOsub5tEvrSLij2xXfug9rYLSvPo/uB6TlpJ1Cgh0E1HJHAyB44gKGBJuz+yBORzleQTIYxtImyvBwftLP6U2PSAvD+oPl/T4dslxMRDH4Rsu5teZrvYeyB7blghYFgYkJBILotMnBNjAI9HO+z5j4e2LtvSIrM6t2cP2H7U6VRReMYPjiLzU/75NLLdn/zJRgaor49g98DQLQVqsYVMY2BSJzsMFoK2HkQal1K3r+jq27K5Mkke8ZIXu/bcBisn0ADyOqv3TBe/31dHOrYp7HqQHEjujOadkRWNCNGD9WTNPbjgwHoTBrKWCLnocIKekMK/kM5xLZK0uMfLULTJZHtgsXK0umRGyzxV0S3YPe8/Dx7QKYbIvX2iKLZkdV38LWEoEkSbI/DR7lhto4YzD11x87NwIE7gZxtAbQ1lPprBfEPCDQvtQiUR9R0cFjB+OhHP4p//dd//YWPNzc3+J78mnCJwCqEzo8D975Vfjn7fbbHLV8FNfMd6JofmCgA/XEgx9VyCchWockH4Eh3l/Vtl1dIO4AgebBm/89WoEI+6HVNMv9ukgMK6viARFTK6zQmIianzYW/fPc8ghcPiCYAy9ge/H4MnWq19z2hoO5LAX1IVsMmmAUl0Bv/eZvYdLXLBADBFS8DjCdzHGdPP2sTCts350RAJgvV3WPdDmXu3QRcHQAiKVlpelLLjWAis/8huT2Rhu5KI324LoJDpHftBwaajJ6AERQiuY/JEAMh9y+bEdb+ZluGZ3VinMZBUWBhAbp7IxQJckahsSDz74Qp+aehuTJmS4aOhRzZTBxj+lTV0FN5IE6BHRugw3RFXABo22vO2SAwcVjIewd2AeQwsF3B585koDuboFojZvTU1xdG7ewi/EeyUjlKV4Dti6j1ROHvDiJIV0KO+s3YRKud0yIUaaBdMzkjVsSIQklbtgJH9kGlfMC5rBBR1CoMxZZFL/s41sjASDR7KcYxH0LPS6Ci3ZIsLNwo3/XU04DJr8rtFjoInm3lqxcAfwEq9MgEymGFYZW1Bpqamh5z6f9XwSUCDkC1sHyk8OpXAbd/EsaPlr1lD0wOTknClwhCn9sCPV8SedlGGJU7uzofaoJvywbgVPvYgcMAe9t9FNups+cx2G8kjYNdOdGkZ4nfV5TVMPvlDJaeOp2HOY4lcmSwYf+Mw59Y6xp4FQIGewZak2BUpGzPTXlCNwz6TALGZOWogwtS0SCBsaME5bH3B7fJzL0H9qhJLMgvAvv2m1zBBDYmPAfGkThGqSQZCRg5YUOeLNNNsB8oTci58B1DppMDAMyUga0IVLPQlSAUKtbfhyxN8gGmrGpgXAItE5s5tgpS8P8ZnQbnoQMKiuTLaACqPQ70DEj/n9MObGcs+wyrwJo+OZ88v9k0NM/bQFddodDCtyaGWrmG3A+nEGoNmguKDzWET6UEMoWJAtBMHNmmofYAX3TGi6HaBoHxb8hnGO8S0l+taL4faiEPNEegWYmiCNWS+6VNBAzngOqFZwCnPFW+v/4IFBO1XwQmjBTM4nej4SKq+18FlTjG58FhZYEJ/nEJCimsNJCbQ4lh+g1QUfCMM87AwYMHjbzw/2WawCUCqxBcNWlWAghe7CsL9QttpQw18V3o8RKQL0OzHVDVRjTIFKc9E5lowPjYs1e8hLAfulKDonpdShT7lsHTCjDJQ0NQp4Y+5YWTZYACQ7McTywI4c4zQOJK3lMJZOA2t6u/suenM3koo+BHUp+0BbQd7VNktHujjo1Jxq4x01NHG8cDa8DZNpOJnA20bgbGviiBiAGIr6+UoBczQNZWIuzRDXWFsevDlyHDlkbIb+V0I7L/lLrVI0Jy7OiVSgPtgo0ULycWGoh7bF2k5DFFmr5nWhQ7Czj6nXpg5kQB+QsNHwkFfjTCsuhp6ZIqA6sqPJ9MuAhKJjPAszIxdRg4eljO4eBgfTtec4IJE6y7IycHajVUslVk9+WR3Z9Hy7kpBKy9sUG1Jh8HSaWnPdlMBqgWH3SkH5igDDGDuif1LN8/04ZghYGHZcyP7H6wIoRO6PipUKFOqEbBH00ypLU0DpwLtL7Q7reG7niBcEfG/+WR35mRz0Kve5OZJnBwWAmgkuAznvEM3HXXXSZJ7uvrM4nAoUOH8J73vAc333zzY96mSwRWITSnA6wfAI58VC7sW18LUAzm4Q/Lc+gwmCmj+lDWrDyzs0WoioY6VERybUbUBMkR4EV/1gbADXHxpKdADIM+A9Tho+JbwIs8R/XMWCBX2TVZpaeaRZWQcrgMAFy1ct7ejKCVRF2QAkWttISlCI8N3pbUR9190zPnipOlcj4eDEJzm3umjHWy3tSyVP0z29w3IVyHtbTwtaV1E+As1sjo4NL4mwdFb4BmoPulQPphKT97bQgaI5n5fkFlT8aY4wx1047ZB7V2raw88pysaAhg/VskGGYnTXtGpaw6YJlVGqo/LgoHIt4CXclBBRrm3Qs75RwbP4MG0hQDZlc/9NQksGcfEI9AnblVpiCISIsh1OnFUUuCpFOgrV7M2WPgiaGtM90KCXpHMPhThIjo6oDm56dp4UxpX7tPnH6whkQmEfQSrE2XQq3ZBJTSttVSANo3iM5AjXwCO1bJxGeAiRE5Gwfl+EwCYHHkJiBxO/S6v4FSViPB1zCC6YGfU2UOmLhWvkuppwMZmkXlzHSLPlSG78ozHmmo5bDysMrIgl/4wheMuiArAK997WuX7n/iE5+Iv/iLv8D27dtx2mmnPaZtukRgNSYBD7xdftn21/Wy89x3gf6/AM79F+i99wOH/tGQA40gEKrYPZFDuqYRnCnjiZtY6vU2SLnZ+hLUx1IwV3HFkiF9KVa27YrVLL6PSPm9EEoaLR5ftIiwmpPyLwPA8ARAtjgtaucKwHRWJhk2K1M5UBy1Y/CdsKYyLKszCaCoEZGywY5Bi6tnKuB5JXo7FSE703BS2juASAzoKYoyId0XlxwTG56Xvws4cq8oAhLcj9FRuc2yfAP8TCY8vsTWTUBTSvgKXJkacSWrpeCJ/7A8Hj0TKO2wltB0JWwCQmTs+6C5UmdVwzvtpawoDXZtkKkG09JYD+QeAvyUC6YWQrZOJmQSwPuXPgjI6COrExQyYkWCEwjhGNCkLVfggAgqcVoiGl5+TjitYfUg/BEfUv0R7M2VcLhUQlOV+gWe14PdYc75Gz7J+dAkSE5dLw9SX8FzWmSVws9ksGAqB3rrOqlO7LpfxjiNWyO/NEGgNAaUDsgHGT5P5IBZCTD79yjua6ze0FGTiQsTv7EFIPkik8Ap7/N0WJlYZYnAXXfdhVe84hVGXnipbWYxNDSEXbt2uUTA4THAW92Of7Ee8TIl6E++VUrilJ2fLmPvYhGXHPbc3ICd80kMNduAy5G/tL3a07GP0wV08jOkPQ0dYv+dqzq6EVahwwEUJ4rY9e7tCLVJEFz/uh6E14SBBw+a/rq+P2ssbdU69vKtJPH+UVnNdaVE1c7uixE8qnA+X4tgEROXfEFiVKfsoyHGkQnPVW0oCL2+U9QAF638LscQjUgPKw2AokcC5XGZqXQ0mTE3M34Yp2BOVYhm0XYg1VVPBHgosZAkID1t8E3x/fxAX4uU81m1iCaB8aMS/E3Q84vIULQdyk8RpFuhg1Fg/wOyzZ5BUeDr6gHGmJxUUaN8cigOFeW+MMAnDFfBKDLO3ibBNdxkqheqpR367CFb02fVxGtdWLKnTfJQydrkRgPrzwJG91iHRYogZTH8wC4szmWR7G7BpkExSTITJqpFbIlbQzhQruCMOw4Cd8imd33wUmy6aJ2MOaZ6RUuhnAOyP7LleWv40/RkIH2LTY6Et2FUDOMtYve8+RSZwpiblvft3yZtkvyd8hnweDlOSkQuAXwkU3rf7xag6+UyNTCzSwiiTCazWainUJI5DlW600hCLI0TVhctIZQ6Cr+Ec+Bw4mCVJQI+nw9ZEp0fBcPDw2jhSPBjhKsIrDKoaBf0Ge8G0uNmRt/0o1tfII8F26CRNaVdHfKhNlNGJVPBLPvlDUgvkHjHVSRbthwt8wGZqmjGsyQvWxNiHZnf7A/T9Mfc7YOKlpHYNod1L5QVboW97xhtaTlK5gf6fcCM3Q7JbBdaNZmf/txMB9D0CGHOv/tEQTBTEJ37nnYxF+KqcVpEiMyfOFsYIZLsrD0y/6+RbGZtjhkgiGl63tuZdiYVjWZG/J/BKJmSjTKAU5+YFYlSEaq1FZqiSVMzYnKTsn1+ahPEG+yBKVXM6oNx0ImbQG7m3o2mfgt0wf6Bm945vREo/VwU74XT1wqHo+M8oGRX/so+z3AH7HuI0o8I7LR0yGhgI3QFem5CqhNJO2rk40QGjZboKLlBkiCtMXz/Tmz+w28svXTXZ6/GUF8S2DsJ3Dpt7KPV5gRyp8WBnzZ8R6LUJigAXX3GChhzu4X4GLDnpcyR0yYofxxoeSYw+TWpDJgWEvUeCtLfNzbQXMXbMUivDVIjf4UuhA1Ex9LdcvzhSyUhMMWPKrD/48DEEXvsxxoeNZyWwiEg80Mor3KS4pSBSwYcTixcffXVeN3rXoeXvexlSxWBcrmMd7/73RgbG8PFF1/8mLfpEoFVBr04AiyOQ1/3JrmDTn7sY/Oxp37CBGJ1Ok1pNCrJF0D/9N2IHzNfE2A7fYAjZLTS1VAM+AzgBL+Y7BEnxc1OGYOf+utVMIRwbwQbP3gOartGTG8+1JE0FQB0B4DRBYlp2+i6VzYa9kuX7qE+IJ8GUrZEzoCykaI/rJfdUycjmhV3xJSXDZmxu7u+B+wT8wWda+yUgQ2ksnf1g4wnoJlQMHAwuWFc4ejj1DjQ1Vs/1nUbrQ5DVf4oOXrI55hZ+GOIaZwUWHoLBbQ+DSpvV7NGI8AS5wgmGJ4UM/kC5E6wYnLKAHDw2wArB1uGoEzJO2Q5FRm76vemJcgz0ECTJcLRI4GBn6tv05fxL+uRG9VCTkLw5XMjhh+RznG5XEfGF4ZKpVAzroQKiongXAmpRi4FY2jC7j/PIT8PU9Yv1SctjFCSAma+CbQ9TzgLPrZTCnVehg5B8ZxwCmLTefYYpoCxYSBFW+cFo7jI86YSlwK13fKcGscy43WxrOXGFcDQS4D2c6FIlqxdLHlTeQYY/bypMOjUQD0ZcDjxwe/w8XA91MriiXBKgMnA+vXrjargz3/+c/zVX/0VcrkcvvKVryDGxcdjhEsEVlsS8K1Xiiwsv/uGgN4Q/OYOAU2DNo4o+Ho6TXl7Uxy4dWANsoUq4kpha08MmOH8PUvf1HVn71WcAu07yWrbmwhg0J3jBdnCEP40fJs82WGWs8OiQkgzHP5dk2DYQyOfMtTkYSlTc5UebLbjY7SWpcWwEn2drRugMhTmsejsEhOi4HLp36XJBwZFMvjb+6UqwtXrzKy1MvbLxELNrj6N1K89OOOyyCBmA0WQrYuAdSy0VRJaFRPzcxLwsovS7yfBcc0zgYVbrdlS1JDYlKYx0R0ivsTyOcvzJBQyYM8dhoqEoM/iKt1OOlDC2Vy8jrmA8bwwEaB8M/fDaPWLK6CKJ6Q3HqEmQBWIMWFolIVk6sfkISeSwgyegQiSvT3L3iLpTYIwwWMCaDcx1BrBrnedj7Tfj+RgGzb2NUk1hG6ICQbrIEADJCZTPL9HJ4CNLdDKqip2vRxYuB+YaDBhIu8iaAO6qVb4gLaNQGYSmD3QwHeoAAEe1zlA4WdA9adA7KlCImTLI0076hag9+nA6A3AxHeBZDewcMfyQMCkg8cdfyJAfQFXDVgZMCTT1dMaID784Q/jxS9+MW688UbMzs4aWeE/+IM/wGDDpM9jgdImKjispkSAF+/arZNAUUP97Xug9n7UygbngSv+RQIxyVr/82ZU5kqoPLyIQFcQU9cLo7z96W0I0L7VazmfkoSKB5Yc6AzBkBUC2tqmGMC9oMm+K70J4jLPn7Yla7LCvbLw7HTdQKidiQiDGycMrPQvy+xtvbKizc3JRZwXAar1EZk52RZ/piel1M8VJccG+Qc/y2DEqQQNbDytrudPEaW7bwVY0m5OSRDz/AM4hWDm1gMmWRHJX/boxdveIE9lxGM09TmJYMYBvdUlKye2FF+ylQm2HHr+ACjfJwGabnrmvSwHg8nA9H6pCnj7k2wDmi8GfGPydomLgdzdkhD5NwPT3zfBUVPfgJ/FQ8NAZwvU0HlAvBnIjAIVq79g2xKYHBfDoxYK8vCzmTbnRmcKGP7vW5EuVpEM+7EuloB/Q8RoEuj5ClShIvLKg2xzKOGHBPzQU2X4LttiL9IR4Oi++nlZtwnYvlPO8Smn2vbU82QVv++f7X4FoejT4KHpCujyDtne7DCQnZPkkAQQxf1+FhQ5A3nrNRB9krgNZr5T//4z0Z06YImO/B52iO+A57JIHQOi60+EX+BwQmNxcdEI68z/z7OQsn4n/6ftZMtofv4NWFhYQCq1OltBriKwiqBSvdDPFslb31Mk2Ko1g8Z9T3/nraIJ/7k3yurwjz5gHg+0hBB449uBb78fHc/vNMlDIBWQ8MdAx/IwZ74Xy0ZelsmAYlvAlIVrQDoDtNkRNJpjeEGxMQtvJPt4eSnL1kYkJ2p8CUQkSAGJtUBxob4CMMG44Wtsqh02qSBTnskGDXiaW6Ba2mRc8chBW3a3UwTmvSvAWefLipilfi/xIGhnTIU9wx/gPtiLxcGDgJ/Sy2XbrmCLo6GkzBZBLges3WDV7KiNkJLtsz/P9+bY5P7PAi20gmbQ9Bwa/dJqIImw/2XA0c9bZn1KXBunfgC0rDPkQlM+58qaRZn8vUCsFUiPQLEkz+IL96l3SMiU5Qw0n5/os4FPAXvvNWODJlGamBTVP3InFxeBdB5D7XUWfpkiUlV6L/ig2qmzEDRCQzSH4oSBVmWTvKi+EDA7I20Bb8TSAz+ygR4gOw8c2A70bwX014GOFwFtW4DsaF1HwUOgEyp0JXRmJ7D4M2BxVn7ibTJ6OfoQ9NCrgZqYCukqJbBttcEDJxLangzkbjOfvTr8MPSW10C1bQPK08Dst+z+LW+HOJzgWGVkwUKhgG9961u47777DGmwo6PDjA5edtll/+dtukRglaHGmW9eEwcbDGqqIWC8aIMiL8BKbF1ffq08ITsJHQ8ikOS8e82S5RikKU3cUJ5OxaA5s26EejiSuCjJAFf8HjHPAwMjg2eeCnt2Gyyv++1qm6tFPse0GGoyOlcuQi/stYTDCHQgjvL/DiNwTv9SpV6IZVYG2FYoBF7vnUFxQFwKwxEMH5gxffBkNIChQa7WmUiQTFhvKWgGMlYmojFokvVokkMC3uI80N8nCoR835ZLgFzdLtkEQL4tE4h4TFbaNMrh85d2yxNZspLGZoVrnQD50/R0gL3zda+1o5pjQP6bdvs5oO25QJCr12Nkj71ROz6yaa0J7oY4R0QZPMdl+wymkxOS2LFqsktIdbq/A4oJFMFRSG68o9l0PxQ/B06HTLKlUQF2j0CfvhaqU7gYmuOX3vx/73r5PPY9XN+31o2AOiCJgPl+Tdkx0BxUOAHt7wfys2JN3fYsQ2Jd0gXI3A609AGcnuAP9z/VhOHDC0g/8A4k4yEMPfOdwMSX5Tg6WW2ZA2ZvhKZtcW0auOkhQzDVWxJQ6X+BvuxfoQI1ITKaFzUkgQ4nPlYRR+CBBx7AM5/5TBw9ehRtbW1IJBKYmprC29/+dlx55ZX4n//5H3PfY4VLBFYRqocOYO65V5nbLdd9bykZUOGUBAKy/69+E9Tac6HaBqAzI0K22v4+qLO5YgX02CIwkhOxGBMgSBG3mvGLObEcJhjE2ec3F/gqQKc7gqSwSBgqyxK4klK/xw1LMxAErKMfe9D262ltfjVX5g9JiVmftgmgFs5lG2Xlb2bvCyKCwwCUYMm34evNtoSxL6YN8pwZJxye0dj8XBLEBLtvfj2G1rYJoa1Aq1spGSuOJ+7fL2NmfR1yrugLwJK4N5NPjN0sx2OipQ/oY1+/BsxOACnyBljeP4ZASLMgowgYAFJPBmaokc+pg0FzHnR1ARj9nGXxW5MhlrPNay8F/PU/es0qxvge8XA4dkXtJQ6sgoSa7Pa4Ui/VSYm0mfbO9z1HgSH7PqecIsZNsQQ0q0D7tlsVwIZj5++ZNDTP2ZpeqWaYJIjjkc3AhlOAULOMgjIJW6iLLxmkLq4TJ+MXA4XvSgLI3j+TAAsxYGQCGpMEq1w2ScDmF369/jne+xoMddiLO1Ulj37RJqEcwWArhbyBBsfDxR/IPpmAwATyN6vj7uDwmwAnA37v934PZ555plEP3Lx585LS4I9//GO86lWvwpvf/GZ87GMfe8zbdonAasXMKDRX9BwVLC8K8YvEvx2fBIbOlyTg5tfKlZfjfx6WiFXebLqGnuSYWBiKicTUAnQiKoGDj3OMj8EhztU0L+zkD0SAOatQV12Apv8AL9RHF6CHeqBSCRkbJFgxYJAkb6DR14BVAZauixN1TwIjNhMAOm1vmXmKmRwoyj5wleq1JnQN6UZ5ZNILKmGoeJvM5JNMmM/WeQDZvGmLLFU1qIkQj0JRXY/nggGetfn2pwKLJAPWLHmQFsXWQthMNXBl/SQgv90SHkV5UFoaXlmDiQ89DKagMG5cCnVuRiYF7HubgDb/v+ZHdz7XChUVJcBzLLR1jRA/S3QV9BkWvCaJkFkXCXSJfkCxmvEDqpBAjY0A0RA0csB9M8vJVxzjIKdAR0xuVUvzfJSMU6BJBvZngNlFoDm2dH41XR99nmhSFOg+H6pAcylOJlSE0Oh5PZBMmL0L2ioeKuWHZtWClSmb0OiSjIMi/gQgfStU7ynQrRnoB36I9Ojcss8xnStKC8bsu9/ITJuCSYxaCTXgrB7gjC5g7cuAUBKqtkOe2/wMIRgGXCKworBKWgM33XQT/H6/WfWHlnhHvKz4ccUVV+D666/HhRdeiPe///2IeyPRvyZcIrCKwApAy399DpifBD7yV6hFfFBnt0iQev7bgbs/9EgnLgacM/5K+qYPfwLoaQKao7b0q4CpLNSaKHS+Cr03LX9T0Sx0dwyKvvNmGxqaLPMxWwqmyl5Pr0gMM1CMjwOjGQoKSMvBKM3ZHWGLgEQ8cg8oC7yZUw1K+t2RJmCmJGx8Bnv24wmWoq3ansysl22bgSt4AB2dJjgmSSxsQDLmgyY5rzADtJJ4FpF+doEraT63Cuw+ZNz7TGLSwZK8hh6T6QDVQeZ6M7Dm5cDYf0nQYaBMUpgnJ6V4rshnbpEqgCE40nrZrlbnvgd0vwQINkFVpoHSLVYToAqdLwv3gkhdiOHhcaQnbkUyHsYQbliqqhgiJWftDdteQ0U7oIOboef4nkxIqPkwAsyxBWCFi3hRMbK/DNr8neefVgh5YG0S6vBBYJ0kV9XhSVQ+tQdI+hF6fq+0bvpjhoRpFAHpLMnjJXhcpsWioHRJgrOPydM89PoLhLTI/WHCtKR9wGrLTw3vgSt/nd4jyeAMj9EHjHO/a9BDF0FFE6gdqSLBhLYBiSLNrWySVxoG7nhY3ufiLXL+uV88R0ZMSEG3PxuKmg5+TqQ8tguowwmAVWI6dPvtt+OFL3zhsiSgEZQV3rJlCx588EFcdJHVXvk14RKBVQQ9dwTqh/8owSt0zJe/uQMqZu9joE30Ql/xMemvjn5WAihn8yM2CaAtLsvEVA8s1aB3LEL10+BGSWWgplFbKAAPzcN3KVn+De81NgGs6VqaEmBQ1xs6rOAMpw3oK2C/mgwkrA5Y8p4i8Y0rSY9XwAA/z9UyCYo2gZibgM4WZPqBksSNfzh8TxobhUIYGmzB7u/+KdI0Berowsb1HQ19e67w2aIomERA0dKYswYHxyX4cR+zWehRmiTlgPYwQHvnI28FrvpXIHEJcPR6WfnmrEiQUS8Ut0MdpVIhLZkvlbJ0+id2pNAHRR3+4j02cPqlX37TfVDPf4LZzPCdX8fmp3986ZB23/zXGNpgWe5edUF+gY5eAEzfUOd+eK6FjaC2QlkMplS+DGxKyEgon8xRxYkydFcBWBgDrrvPjJ/WZisofX8CoSe2yTGxasTPpqtDErzGc14pyMgq9yB9AAgmrLxxWqo4gYQZD/SElYSImjXHjewDwINMWBSwZUv9uLIDqH32Y/CdE8emqh+7P3450hU/kqkohuIPAnuZvFEd827g9F7g4Jx8l3h+NvyRqQRggeYsbHE8REalTMFEnuiSAYcTEr+OWBC1Bfi8xwqXCKxKKKg3fQSKs9QU/yEY8DxU8tBkbjOoxhiweacWch8DE1fD4YJMDTCbjgWMIZE+UoCi6ABFibpTEnQ2VqDn80A7JwdsReDgjJF8VxzrI5mQq33GL7bWWQGgshxBsphR9oM4EnI1x5U0dectNPvh9BlgJ8LroR8ZNQY5OluG3joIRS0DU5UoW3dFq1K3YROGWv1AotkELkUNe+5IrB2avW3yIOYLDdoIAWBNqwR2rk7ZZmcSYEbQhblvVrf7PmzHD4+xTjYsfgb2KrDzEHRrGGrfbpkqaLUiRbUFIE2pYItQE2q5PiDhg6aeQq2K9Pxy2+DF3TuBbukXItYmpfzI6UCY1QGuzmlEJNUASQIKlnA3LW0GujFylWzEn5a+IvWqDP9ne2N6AioRgH99DLV9BVRHSqjtz8J3SgtUr50M8aYwuMCfTwP9g1BMnOb3GdtjT+1YpjraDU9B+SNWcVi4FSrSAz3F4O9lj3Y/jFJjQrgQt30ceNIzgeytJikcYhLHig+Jqp6jIeWe+ZnTdnrLGvku8TypfVC1IHTnC2U6o2IrIw4rE6uELFgsFn9hNcBDOBxGnhW0xwiXCKwiqJZ+4GWfW7qtWZrl7cQa6OmGi2E5Ddz+Zrl9/jtlxc0VOAl4SatS19INtfch6LYiFCsCT2gHxvIiM9xQalMpagcoM9+vOXPOUjmDxD3jwNqEXOK7W8SLoNMa03hgiZ/MfIKVAgYqThbQcKi5FZp/FAxgO6dM8NMdUaiWkMyzewJ7lv1vBskOHJVtUgjJbL8DKEwClPUNRqBpgMOXUQLYs8bl+zaCDoEle+Gg2I4pq1MiOQy9cwK44Cqo3L1yvihKxODjyRbbwKoPc0Y/AmUUgmxVgy0JBsfpm8STwELno1CHvgJ1gZ3yKNaQbFpevk42Tm5QTZDbS/8MID+z5RlA29NNX90cENsCmrP/NqkrFIBxK/bExGzGEipZFYpHoc/eYs6hClSh13RAbZ41Fw3fZn6ONfjaIkAfA7rnN8HkkBoTZahWmiZ5HAgKNYm0spkGmHjYBGxFB0Luj/dac465b0ExCqJWwLmyCmLiqI/sBiY4ZaCh9n1HlCU9cDSUxFEmNzz3Y0fldYabYc21+N3OFqDj3VKBCK6x3Ay2pGiA5FoDKw6rhCOgtcYtt9xixgd/Efbt27dUfXsscInAakwG+KViEnDLX8jti94FHPwPCWzmSQ0rQ5LNGEy9UvwSSIzrAOYXJYirGlRTAGiJ1AXvzOqw4XXNdQc71ZGoz5dzNc2gRCU+Ip4UPX4vCTATXUXD+jcXb1P+J9nQDzw0JgGk3RLylg7UBvIj40Cc7YwacGhBqhin2DL6QY6i2aDLHv7O2+W91vQDqXZg6qiM/TW3yL4W8lD83yO5MUCyJM734nbPWgt1+CYhRVIRMWGFk9i2YDAyxzgPtMSM7LFZqTJoUUuApkjWHVF3r2c2Juf48M+Wn/Z4HENNAez+zFVYDMSM0t+mrohUSnj8VjZYsfRNcMXMbeq1wOLtEiDLVu3QTGPIRdRcPLzJDiISArZuhmJ1hvtFtUHrIslkjhpBphXQnpAJAe/aw6kNbqufI5oJb/kvx1MV/wBzjrlqZxLwqF9SP1SkGXpxzLRNTOXIEAbZpsmKB8TOcTF5WvaVbLgA8jPqGwIWJu2553ezu84d4TGlfwikrgQqD8p9oceu0e5wAmCVJAJ+vx+f+9znzM+vMiV6rHCJwGpUF/xFBBkvwLFX7yGUElEfmu1w1UcVO7Oy/Bk0yW5ZOyu/bRBgybpcNKxvEQSqAD1dwMSE2ZRxzGPZOhSG3rQNiiWs3cPQuZyQ/wJeSZdyv1ylsiTdoBiWK5uWAmIU4snKc7favj5nZ3nBZ4JQLELHw5KgsIrQ0QzFhKS7Ffqug9CBsBlT1AvZR3AjDci8L6VFTpgJSDRhhGpMULfyyAacs7ejjeb4igVJAuaKwNw4dH8rVDgM3fscYOy7gK8CZVbXnicCt2WTLMr/GgIm2xGjsrr1PqfGaYmZaXNehzavsVwJK3DEc95xNRDtA6p0+ftJnajJROO2D8nvZ50jJfcH7pPfqbJnhXc0KzctYWCa5MuyWBAzWeFnSR7B+ITxljCtjVQY2NJrHCXN/ntTG965YeLFx2gqVLUcCQr/xO3nFW+vX4CDTdA0cQptgioPA7lxaatwmoQiQEY0qaE94CWqfI9fdkE3Cow9sh/BM4DinfXHKmWZbHi0z9/B4QTEtddea35+G3CJwGqUGCaoMHj5R+utgfi77PgZPenbgIvfK5MCFFoZPF0C1uIEMHK9DbxNy93ueDPOsqxdpTGo8XpNHYGNW+s7sXenVJ55m330QVrsTshFmV4BhjdQATJZ6KksMOeVi7m6t+JDQ0WgmxWABhEdvl5Zy95SSXr2TDSobmdXlGYft7RBPzwL3Wf1DqjBz3KykTK21rim3G+DDVfQC3PQXMlTTY/Hy9eY8jtH88yZlefOzAFNTTKVYXvehlD5o/pcr778tVDtQ0AtA+z9jPSzmXAQnJ5oE70GzE5KG2Xd6bL96cNyXshn4Gv6fl/sg8euq5/b8g6oGhn9Vy7/4FmK9wJ0fgHo2QQ0HZSkiWVGT3iJx9TRDLRWoMbngL2H5DGKOVUrUAye8YCICJFMaFwebRWnpws6VwDyTJYUFBMovQBkF4C2vvrEhvc5RBn8qTvRC02DH448lu40qoeKvgLEoSPAllMkmQltABbvgqbFKo/lwAyQL0Jnq1BNUUkYzQhmWEYdafBUOAh0bTYiRUhtgM4GgaPftEJLI+a7pOOXAYENRqZYubbAyoS5DhwPR0BhtcMlAqsZNjjoAld6FLvJAaPXes489T+QeJcJaqqpx3jDe97xJOHpUzaaFZfihbdBjW+pXMdgSac4r4fMMvv4FLBrJ0Am/sSotJDvm4U+p99o+e85MIv00WmjbT/EkUKWsr0pAoJcA/ay+1ql/8vVMIO+IbXZqQL2plkNOLZM5lNQ6xMS6FlF4P5xEsKI1FhpZK4gPeEfivrQ+e8wBXAUdGsCKsHRv3DDcQaATM4kEqqUh+6MS6ug53mofPFDCKxtKGHv/SJwJFS3Jl62b5b0xHNFT4C2tbbtYFfULP/3nioSyznr+cuSdzEPdF8NVPeaEr9iz91TLEw8AVCHgHUHbe/cBsxTtgF33CGJAPUAUIOKRr3CfX2feBx5joNeDTz0KRnxZGCeZaCdAFqsXsSRMREkYpLALQRmoGyrSY8fgWJWSOfDpG0/+WknHQQqaWnBkFDIhMDIJOeB7TQPKtQrNLMiC1zfL7ZfasAaKheSw0LSZ6v8X6SfhCW1xi4EqjuhKRpEwiINnBatrgC5AeN1QSk98EaokOXAOKwcrJLxwd8mXCKwmsDy+5XvFnIUv/s3/pmshPsaCFdc6R+rSkeDHM7s84JPEZbiffKcEpUAOUPPmewGpTaC26VpEN+IJfRIGJqz9mTnd1IsRtvyvwVXv+Oz2JMrYctrOT8v2PXvT8LQ1jXiN3BgTMrBURkTVHwNCWkevMSl4ylA6hTg4MeBrjXL94ur/5xNGggGRQoHsf0RsIGGCQ1VCD2+AuWEGXhYkTiQgT6vx9gpm+kGVgC42uUKmEGV45B8rFZC+eaP447P7kMu6UdzZxhn//F6BIzFrpX/5Wq7sa+95ZUAjXPGrpVte59D5Dxg0wuF7Z/730d+rtzG4evsTH4QOnbxUqFE8088cxvQ3QcUyAGg8+KoeW9tBX+YABjtACYyjdLM3Fe2Mfhr5k6AQj0cFx2jK2IRaAsBl6+xVs1loDkk54k/RhTJtj2yC9B0iuTUwOKoGb1UifrkhyGukuRokhe+Pg/02/HSwjxQ5rSFJJZqagqauhKbu00VQDU1i2skqznJAWByx/KEYRlvyianu0alGnUGdQWcr4CDg0sEVgnMqv/Bt9XvGPjTR39i5/OA1BDdZQB6tM/dZFfJNWhUocIdQI0+7lT6K0I3rwFaniar0l2fkIBDDXnjOuevTxkQtKTl/UZAhgS9Bvbr1hZjWJRmgGlAhitv6vnzMj6zICv/aBhobQHayPq3CYgp69sqxvQtQCkr+8hg1vokIHOX7CPH6Fo7hKDH9gVfl07Xe/JMNBhQWYEwJDkS3OhRz+QpX28X8Bi4b4YHV5b7+N60P+ZKNFXD8N1TuIxWyMx39gG7/rAPm2iz3NUlz2UroWqTL24rRWOgduiul8r7BGWMUkWsUmLpqIwAhpuB+IVAsBeIjQB3vr3OuO/psyODjIclIG/teompySXFRj0zsySzyzE/1dkKJKN1wub6NZIssvpDPQNWBroShnEPKkkm/VDUGzBjlJ6HAV0II0D/M6FmfgTNastefhcCUM96AjC+Sz6jpi7oxcPWRKkVKhiH4sSGl5vxszMHTglq2wqYF56JmbboHhQ5aSafJLN2nyaqi0YS2u6LaRMEgSNfgu7cAsWpkOb1QPIKqLYCUCGJkqTJaaDz94BgEspzfHRYWVglZMHfJlwisFpB3QCu9hhANvwloCrAro8Bez4DnPY3wMR/y/Ookkey14z4xGsVhYpdDuRvBRI9UPSGzwsJS5/658DCTZbE5heN+UYMHzHlfFOKY/DkOCLVAI0WgUjBpnptj9yC7QEyzUUq3l7kDTveWg1zuoDwyINeaX/u53I/92XhZ0CHNe85wNYHFf/sxAL5A6btYPkGXM0zWPF/tkH4xjTTSWahW9if90NRWZBgYjE3LQGNSYnnicDtKx/yvacB+Hld+pb98w3PArL3yMp34xZR+2t9OhBIShLAhG3Pv8s+tdNbXEF3/bHYH7O8DT+UaXvsBMKD0D7aHMdFD4I994FXQIUok3whMEp1wyPLyZ+HRyTZoQ+EDeKmvTpNtn+TDaC23cLvh7JJw56jQK4EzJag4gzQIeAAzzmrJmwPwJpNVaGHrwOoWmkmMELC1+C5IjwLZ4JVgMWj0E1rxRaClofmM4sALVYe2chLl6HtxIIySZMPSPUaQqYJ9pGkkVA238GBFwO5e+Q7wKkDJkPJpxrSq+L2/fTVOAQsWoOnNS+VdkD+FqMLgejlIjPssHKwSnQEfptwicBqgmdxO/gSsb7t7QY2vB5I9QFFq+V+LKi77rnbLW2nIbC0PAVI/1QqsAxqfA8ywo2qGy/O3h8pm7/+R/7hcWXNZMQQBEvYuKEDu7/6+1icmAUVdYfWNkMfOQxMpKHjfqjmOMCePROJkcPWxyBh5/ZtUjA7JaV1bwqCYjico/eCthHLsYFuYEhWvcYroLEl0lBTJocgwWAzVR+h63wCME2THK5erZ8ByXcsX3PVXiohqReXncpUSxwY/aHs68ZnArUD8jYzNNhR0H2vfgwfJtsLaajKncDpl8s99CNg1WLua2Iw5D2P6oY8vzzO1iQwmwbG7JgfpXgTVt6XltEkWxLlovT0C2kRBDplAPrhQyYRkO8FdQH42Vnb51qdx6FiDUnbXB66JQaV5rhfUjQA7PSm8TxgoGblpmpbUOZ7Q2Egkv5osNQOXekCZh82roeojQFDW6Q91HuGjErGLpDEKn83FPYDkWbTXtBJkjA5StlMP205G2W6LX5VvgcdL4CKDApx0ztbVNL0laCClsDp4LAK4BKB1QYGnqwtsxKMleOfkdsb/kQuxCw9sxLAi6whDfqheyVIGda8Nw5GhPqgk1cAI/Qw+DLQ80IgzT42A0UYimNgHs4+C5jaL4GjuQMYPSQmNPMMAFxhV4A9R7AxGV4yDOI4nn5oAipfgjqzSwJxlv34aaCbanJMBJJ2dM0SEpkYsNJgCH2NTWIub60pj7E3ZvCbk9Wqp4jHKoWpPjCAkm3PqkEDMdDD1M8B9qe7LwPm7gDopsiEge/J45uewlBvArs+cAnSXU9AKnFUbI7nbOm9uENIhmxbsGLBN8odNiVqbH6DlL4ZELl6NuVu2jbbaYDMj+xn2XBuCSNHfCc0WwqNfXIjpFOquzoaV0CS9wJAE6sCnpFSCBg8zTL2twOjB6Rl4h03iYZncyqDEtP8Dtj5D44gjtN0yAom5Ssk4QtI6KvYvj+rL22tQn7ksXM/o60mYaTekKlcFNOWrFmU6QFWYIJz0IkU9PS4cBiYbHK8M9QMxXNE62cvyfVaIkzIvDtIgq2FoDkVU7GqjCbhSMpYKBG9XJKA8S/Kw2te5ZKBlQLXGjhuuERgtYA93s4XQN/+b1A1rkCPXd1r4KcfAPIZ4LyLTDBdEqXh31rriyzBT3ze0fIsU2Y1F1O/db0jgi1QnDIw78kLcD1YqUAQumOd3M8LPpMAQ9arSrAw2vYlgB4FBJ0R7zoMnSkDyaCd1KNhDFdzNIjh3LvlIDDQEUwU2K+nHLIZYVNAxRMmsvvYAD03Y2yGZd8DQibk9ADfI9xSryhwn1llmJsVciB/jNfCQzJ9wB9Puth7DarYtK0LCB+RaQlWHLa8DJhhiZ9cCY7N/UzIeEw8xr8MRPk8H7Dnfqky9AyKNG/3kDgFkBtg4hjn7EeWz8GbZKhszzvPh3X/oy4D/+f7FfNCIKS5E/0mSMI7Vj3Ra5Gw6kJp57Y2KxbE4Kygvfl9byJjjoFdQ48smM+J519vt+6SrdagabEADJ0pG184KIHYck+WSJFM0sq2KsB2UDBWJz3SyIg+D+edJp+RnARJeMzEC50ct0AjDEx9zbQMNFtXyScZwSAjSDW/x+7T00i8kAShcJfcF7/iUVUFTQXBdC1cheCEhZsaOG64RGAVQKdHgBtfvaSyuoR1fwREOoDuPwEyE0Dhx7/mBsURz/yUp4xGv177RvOQgiX7aa9VEIQOnQ7M3CgX7tanADPfq2/L0wLQttecTAAHaVfLRTAnDsqo7kjDvy2B2uE5qBZK89ogROY3V+IMut7oIhMCJgJ8LwYslsO9XISsfs6h01mQokMUrDkwKWVuooePXQKk75T3T0/Z1gBXjtZuuLlVAjrn+Y13AbkW9s9oMQu0yligojIf5ZC9GWcSEmMJkRBe9yqgOCps/sbzsHR+bWmd+04fAQoada4zbnwq+3MxEpr6BpAdg46vgSqnhUNhjrkCZOdECMhT9aOpUTAO3bIGKjcPNeBHbe/PgMOLwJoYwPjnp/Z/CWrXHVLpoPATKytmWmIcmlUAtmRYNeCbMXFrtKdujwOT1H1g8hIGLrPaEeNjUCQTMmEz+8MxzbhIHRP0GfDAiQJ+rmwpcVXPdgmnBmYoDV00lSD9k3vlfJ+xxfT8DXEyEIIiWZBiRPSIMGZRVmM6QKKjPTceZr5j3zsMneyXBKuaMToCrASYjyPYKkmArZbp7j9xyYDDSQuXCKwyqLNfAczdKL8s/hjI/QzofTVUy1boZ1wjjnBJUafTU1+Xi2nnC6ECTeIJH38CVOZ/gTk62tXtghXL1iRjLdwo9yefCBTukZItxxVNxYBkukPyPK44+waB+3YDeZHkRX8HVNgPvbZN/O294NgUhO9CWgebd4JmK6BSg+LqnyJEWLTjdrQR1sBcGopJRN9zgFErgOStHCgM1NQEzSRiP0V7qtBG0dAHtfY5wBQV+WjaI+x6YaxPiQTwwIa6IRKToOkRIR0yYBpDok7g6IRINTe3ATNTsqo3ErxckXsqiZRI/l9LTLTIcASuAjSdCdzzKenXe1oFrNLc9j3grMuEHNloEGVX/YZQ2TQIzO6XoMeRSM7SkzdhpiCoH1CzDog836wGBOC7zHP0I+EyJ8dtDJPsSGC4Bswsyqre8yBiyybiAw7lJYniqt+rDvA4jyyYyQgVDUPT8MloLBSB0fuA/pfQR63+njyPnBLIWjVBrwrlD0kbgPLHVE7kyCc5CHSOpGR0OCBtnXnZlu49Q5IBw0WxQd+/GQh2Af7LpCq0sLfhtPmgwkmgZKtF1ZuFeBg8D/AnpGVWzVjraFYq5nmG5aVBWyFxOEFwnGRBOLKgSwRWARTV2y56E/DwfwAHvwqc9XrpPRsbVovKPFTJzqj7NkKzyev1mf1J6Nx+YOSzdjVsZWIbsXiT925yIQ50AFRtq+WhivdAN68DAhTukQAEpIDp/UCc8rVkvgeAo9PQA62i39/dAj2ThuqOIriOmvUNYkJHOIvuQ605Y2fJw1A09mGQ3j8NzGegO8PA0Y/ZMj5JhgkrtmNLIsZWmRUEn9HLN+Xp2VskeJp9pNNdXFoBpgLCHv5C3ReBSQUTEXM/31vc/TC0SVoLXM1zlDL1BGDhpzY4WbGgAs1wGIwLQOtlwMLPhRNgTl/cJA+agbhQgFq/Hui9CqgdhKLWAfvrxYbKTfR80wbR+dsk6WJyQc2H9IzwMMjx4MFOHITi+xljp2N0+c37+oQouMTor3MuTPumzDn9kLRpyOVgwnbxHwLfuBYYoSR0wbQNELGXFK99QI5HuQo1OQYEpoB2JhdnApnGZIDCP+1S1WHCYL5zDOre9y8AlWqBfuplwE9+BtDT4qHt8tjaASsEtRG65INe2AFFLkC8EyjeD1ROE+8CfodbngmMfklMnbxkweMW6DI0v0N7/j/5ddMfQ1GIiBMa3NfxLyyV03TXS4BAs4zSNkCXpB3CqQ2HxxGOI3DccInAKoDOTwBH/xugCQ7L2Yu2NN/zx7YhrH8BK91elLmamuVIWEpWb94zYueYC6oq3G/vqAHJy6E5plddhMrcYnvhYRl/q+ahWeJNXgjM3Qp0rxU9+YkGsxsPHZ0iG+y5By6W5dvK3j2Jfq0J4KYjsgB8xnqTDBiQY+AFooUSECwZsyM9VTI6BUhERXaYzHmueBm4mCiY4yxLgGfAZbBnQsIyOVfXXNkygTEla7/kSDQh4v5xFc0Va5zeC2Sds89vjXjmmVyRLFeyBkNZYP5LQKpNAuCE/SwYwLmNvZ+D3vwi4KcsSSvo9S+HD9tN4DEINEEVFqBTV8i2Z78D3fpcYPxe+1lRKyFhRxsngaZuYNcD8tmkYsDoYXleqw8YKaL2tQeBM9vgO23j8vMfCEBPzgGUDfYmALzgzqoLz9uB66RFwISowMSpocIxOyuSvpOy4ta5IlRHFNh1DXDKXwg3xRtVNPvMaZAZEQUqLFizpiA0tQIy5B4wuNr3n8qYNpJplbAKMDUCfehDwHgeuGQrtM8HxeSByU15CijacxM8A6pTKiDafwq0PwLFBMoDqwPG6joCxSSiceyy8W/kyKdEXXHgVUCIOgitkgQc+Xd5Zv/r6tUTVz347cMlAscNlwisGrBfGgJY/jYsa65OS8DkN82jZnQt+iR5JoNO5uH6Sy1hylQDWp8MzbI2kb/JBMdaOgu0PBE+vR169nuWqAboaKfhD5ggVM4Km5tEMewCAuxh+6BKOeiumKgQhsNS0rcmNsZ1jmxxbmxuFsrO5+veCFBoYMVPL0KXOYo2D1z+RgnGe8ScY3gih/RIFslIAEMbUgD9C5gssG9teAwkztE6l6IF0m/G9Jh1rLM8hLBNAnKZennfm12msJFRImwQQmLQZ0Wgw7P/pfRxtJ4IEEyylkhyliyYsWXqh/9b9o+yzhzdbBwOIMGSr+OsvAk2NSCzW4JpI7pEhMmQB0kGNH1/tTQhoeJ+6BRHPX3wreu0hkd2UiKfg6ar5Ng80MWVOYmRRWDaJlnd0jYxxMFTU8BMDipoIx8TA+LgAsrTJQQHbHJAVULqERBTNzAzsCXdlJznRWoCMBgXgIdEPlmvPx2YOmRbShVJGttiYoQ1twjVJpUPIwHNAM6k5b5DUJdfCdXUJqTJ3O3SFiETgMmGPZcq1Cojhb6LgRx1MGylqmPA6hnI2KVJk/k6ti34/fWqQ/yZ+KJIUPe+dvm5r8wBE19d+rtyyYDDiQ6XCKwGcJW78aXA1PXAwk/qoi1LM168UE8Bd77T3NTnvQ2Y+lJd33/2Jhv0rgKOfkmCj/Ub0DoK3HobELsP+imXLX/fWgk6fjFQy0KV77eraQsjKcsrv4Li+Fmz1d73giorFyS+UZJ4YlKCGKsEUcskn5oArhqETjVBUUxnv6juYWoPcNs3gIjC8GwOW95hWeEAdv73OzE0sB7qJx+XO9pjwFCPBGQGSwoIeX17r+y/tL8lK5ebEc7lrYeBxTzUM6z4DAmKZlLAZ0cOk8DYDRL8KYnLRIfbbmq1lYeGviRXv13PBWY+YX5V8Rh0fxQ483Vmda/Z46b8cXkBKNqSuBnztBMGB78DxBpV8Zgk2e0bDkPECigp6Lk09HwReHgB2EhnQQWdyUGNjkOzxM6ef7kMTfXARnc+IxrE6QNbEUgXgEwVqjNieBmGm1EtYfhAFuliFcmWENZOlqETrVC0STYtikdB01OAhz4hZMDedUCRktW2UEVHQgtTyX/4gEkGhsNxpKfTSJWDGOpjckfzoijwlIugOqiIyNHATQC/c0wQ6ApJzwU7mGK2t/B92/9ngmA/cyYbTARbroAuPCCWyUzQTIXFIyEWJUncPQxs3CxKjRx1DPdA97zM/m0dI6Tl8NuFqwgcN1wicJJDFyeB3e+TXzx2O8GLGi9YnohN6VE017k6a3uasRxeGtViAOMKKWerBOlZYE3cOuQdtOI7tnfKZIGKhCR88TW0ofXApIArtV7K53rjDA1ugrwgc4adF91e6xfQGJgp8NPcKhdrlmn7uoADE8AD3xAWfCyA9Mxy6dD0l74MdMahN4TlbVo51cC2gNe/52gifewvBWbvtYI7RakCMDFYpGa+lRVu5xhcrS7JS5tmJjHDdkRt2+lCIqRPAZMID0yuvP40k52lz8MSKPk+g2vha+YI5n3QP/u4nPdN2yQxMnoAbFEUgc6nQE/+WCyCZ+YtKdAnZj81JjdB6MOjZlJOTsCi+dhVWxi1tSQRLpOJEmKj9kNnK8D9clw6GRJzIE5DsDoyTTtmtkMC0FNF4FAG+uEsauUa9sY1tn2ZMsKCh5+0AZt2ZKDDAahkGPq0DcaiWsWS0JSpbn++5Cze+THy03yvDhnH5Jggd5hVIpI1tw5i+McPYctb6l4Uu7/6IgxtZYuJEwtHJNEKx6DnfyTcAE6t8LH5/5JqUhflsB+2XI1Zk4CYdpX3nWzqh8rf19AxI8mVbZ7qMWZMnEYpieuhLywTBjPWCbL7FUt/V64a8DjAUxk9ntevcrhE4GQH+66e+QtXnhxFM2Q3roAngWCnkJtYwb/4GnkNL8ZNlwP7vyL9bLL02V8f+6pV0csuyemqcg66cfSNK2AS1eieR4lYb2Rs5+3A2j4JeGZ16rPlaPsV3H9Q7t+wXlaeRsyHlQdVZ/Bz/M8bx4s3Aal2eU1+ToxzOtqg73xYSshKmXZAI5IsX1vSG6IMOj6ouQWgnWVzn9XhrwC53eKDQPIYwbE/HgbleDlBYMjuVWB9XIh0FK9hoPJKxqYEzxU1Ww5+oKu3TsLjaJzo6QoHIXI+EOkVbwebbHBMT3NkkYGQlRKW5QkGxaaepVYLJn8IHNgHHJwFpmw7plSD3jwDlQpDDa0X/X9PeKghkVLdXOWSuOcH9k5Ax4IYns4iPV1EoimEIe+JGVtRIOGPwT8aABaL0OkKKncuolapwR/1ozBTxvTBxmkGIBP3w/fHdQtq7bfJCRPM1FNF51/tBU69UpwBKZfMY222bYz5eTnPzS0Sl2lmyW00IN15JrBlLbDrR5IMUJ2Qz+E4bOsGcJ4CM4ek4kBE7gRUg7mUGdNsSNTSFC9iVYqW1wzyPpFuzor7JFqeANzzX5IgZli9IHlyRiYMvIBSWYSKrv11/jodHE4IuETgJIbRrd/9b/LLxteKpKux3KyJl8C4+Ano/jfIatPMcPuBQ9fIhdNbuRoJXq6CjinvmpG4ABQ1+D0LYKKQlUSAINlrzz65sC7IKtRsl6tarrI4IsdVMoMDe7xjI+LoZ8DgnAR8vGBzrj0u9sK8eHsGMZwKMEREKwq0vlt64D6FId8Edr3tPClVx/zYSDJbyA/VRH168TAQwt4UsGZNfWTumGCjRyfk/qgVNTJ3Kuh751AtzyHwvAFpDXAf6IbIcbdd9ZUxNm+0LQdfg90wGf7nAj//qJy7Hsoyc5Y/Bpx6ibUfzgE964CjewEy3im7y5FP7gWDlPd/cxNAVz6q+O3LAXMV4NmD0KMHgcmc9ND7W6FiCejWLiOEpHaSp+GXjzjox/CBeWx5V0Mb5cOXY6gnAVUomhYIfzS9BHgCsmTYSzCtFmvIThQRSgaRPGZllXxS3WGQWDp3bMHc/a+i2MgEbMPFcmxUH2Qg5+fCBGpkBKpUgqZkND+TUJReR8vfI3bMJYxqhISRt34UM5nCooyDtpAjYL97FbpnloGHd8rvZ50HbOcUBj0N2LLS9vkcWbwN6GyRChoT1JZuYO6bwOg+oG+zVCGCDY6YDr99uNbAccMlAiczPNa/x4g+So11BQy9Tu7z2OCFKeBhWw3YRFdCqxtPdT5WEcbGJIZ11S/sppDPi3g2C035WwYx9pp5ceRrpo/IE8mOb0kAVBRk1KG8r1k5s9VgHQhZkjYmOAGg29O6t6s0jtVNT0pFYk1/w8EZhp3cZJWBAZ0VCjoTeiX3ssZQp537ZwApWFndbFmC2VALFGVz2d82JX8SwI4CW18LtPigyTcY+Z4ECbYfJjNQ5BVw0bdnEX72oo/kUbnuCIIv3CDvQ65BuIF7Yc4zExlJmpb2nYHk8H8D7bQ5JnGQSoYRGwiPweaXQ1UekCp10xVA5lZoJkKx04DIDiCggW2zwKGjQOYQ0K4tx0EBZ24G7tkFtPZBH9gpjocc1eR+9rVLqOwC0oeW+yJkyN0gL4Byzl4lYSwLtEsCpmLkjASRP1JAjeePCtXREB56+TZk4z5jFrWpLwZNTwO2XzatlaSNx614rnbXz8WB24HWbuu2aN9rcdE8V/MY8gUZpxybxJAP2PWlP0Am2YVkpIah1kXg0J3SSqD6YMfVwpEoPijbSY/VqwGUvG7fALRvgD54nxAPTTuII6GsAvA7VwJ22CmDR8C2Ljq6RCNizdVAeYdUjuiCeXAHcOobl3wNHB4nuETguOESgZMZRaurThz5kh1ps6vnlmcAR754TMnYC9DWHdDYy1p/egbr2VnUZoooX3fQeACEXtAPlYoABz3vgknoMzZBUcmuYEu05BAwOHvvwSSBgdF886xTIN+L93E17T2PTH0+xt+ZkCzMS3Bg/9ho5+elFOyZG3nJBS/U87MSCFl6p06AGXtTAMvajwaOI3LO3VQWqsCdHxBH47PfhtqXPwtQ46Y1aPIOvWfBtAMCOarlUU6X0rUFsfLl6/v6zOpfb94AxeDF4O61ZVjuJ0wp2iYxbBmQte+BK3aaB1HsxkwVKKjCvdCBmAS00CxUOGXHHSdlqqJShK9vI9C3EfrUNGqf/5okLXzfXg2s64LSFQmxPE+zOSDROBrH/Gj56jmxcw76UAboJkeAUwpVoDUsCU0TRx3L5vhYefGbSoCGPxHA5u6YfO60W2bbwYxz1qAPjUoLJVCBru0V58ILr4IqPSTPz9NiekFIlmz3TI9Dx8PALBPBPFDw5v6BocE2KJ5ntke8z73NJmL+aSgy+Uu2dNB2tZgcZY8AIw3S2oNnWittElLZIskB550n3yned/igfCdZ5TIkSvvdYfLL92TCO/It+W4d9EYyadD1KBobDg4nOFwicJJCZ0aBn/2DXGS5Emuzmvx9LwC2f0CCE2fqOWK3dw/S2QuRzP0YQ4kvCxmMZXuv98//CyXomRzw0ykEIhrlo5bZb1R5GmBWvTbYN3IHWN7lRXR0XO5f021HtKhY5xP1PK6s2CpgMPfU+Oz7a5IDF+dl/K69Q4K/13c37nfLWf6md8+gbnT87Uw/f1g+Jxj4phaMxoAnT6wHnwnEBqHul3lw0z54yVuhf/yvwEQOmK0ApzYB985JFYFx58wUsJGyw2ZHge5niulShDbMKSvFzFUvWebNS8HdHCfVB5eZA7G0HZOVqy2zC+2A4kNzwhEo7WrQ4FdQiQuAwoPQ1OjnuGFLC9RTzwH2krSogNQAcPAI9MQUVDRkEjgmPoblP0WdgIr5vIfWp7Dr2jdisdaKZFMnhr77MamgHM4D3fxM6iqS8tY++KM+pIaislrvCdMgGapYg2YFhUUUJhJ8aksYuE0khfW57XJuGGwnbpXPutuSQc04IR8ryaqbaK4Ct+9uOD9BoOupQOFuSU7NSKcVcyKqnPxoteX5GhBdC83RSv54MtQExwHzdGsk+ZUyy11AtB1ITwD77pXktUIOh/WeYEWI1ZTINiA8LqOsPM5Gku22N0DFlrdDHB4HeLyh43n9KodLBE5WVCzRzdjmNn7RvSarBLLhQ/PY/JznLj26+9t/hKE1CWiu5MgyZ+n82GDlUwj9Xi98LLMzxm7qWyIkKl6oGZRZRWgE94MjZOwF8/HEKcD8gzISyIupkQpuMEMwlQkmClzZh4AD49BtUSiuFs32rd69MS+yEwcmyGopE88tSguA99M6l83lxn2i416wujw43PdVoOqDPvcVom5417vNLqueKHR32LDpFdX1LmwHDmehqL+/Ni7EO+4DdQimbgTI+Dc8AKs+6GHnvcDQWcKCJ4yzYA1o7pHVrTfLTvYCeRke0dLqJ5hARTCI8nfyPYrbjRSvJjmuVoZuXgvV3Qod2gjVvdUG/ZrM+VcqS8ZNmqZDbKcwMWJSoHzYsPdnKNw6B8VkLsVn2hFRn4JqZjJZPxRDHByMwm9eC6hmmhTVoJk8PFgA4gEorvoJT2PAA6s9LT4heDZOsjDJo3Xw+FFr0iROg4Z/yYT28ldDFX4ETHxHXCKPHrTJQhvgPwXI3wFM3Q/d8Qwoc47oVXAYOPoFq4HRDp0eBZJrhEdCzwP7t2CSrUbw/U57InD/T4GBLvlm3nYAWNxpOCa1gWYon3y2IoVMXY3l7RWHxwnOdOi44RKBkxR6fC8wXzIrX0X+FF3k+AfTRXtbGzT9QaS9kqtF+ugUNIV5JmQ1py94PtTinebirYLzwKUdRrFP+TU0/++K2j67JeuRTc3+s1Hhs+OGppRqKwe9DJLsUY/Lyp5goB+0pV3qA5ALwNK/7IH8198uF2cTPIKWXEiTHxudWFkIcyLCtjHqZ0J662bOnSRDEiKVuOQxQDHgFPLSiwbn5KvA3v8CaBrEXjrHCecXzHVetUSBVBL7cotId/qRKJUxlIxI64Iwev5ixiQmuFbjnxjaBmQXhItAE51qBapH1Pz07CiQaq1L6xr9e4oqke9gVRcpwERkJdhoTjLoihnHWxImIswK+Rwo/4/kWHfcYkSDUGiosPD+8QyQqQB9UeAwWfEVTg42nPNjTJA8q2IPg1cCs9eb87okEcCqAZ9n+KgN3yu2CM5sMXbFKswWTRQ4f5MYI/G7sDAqK3QaQnEipXkNNIl7HGUcKwLjJeDP3gG1pg/YYy2Ym58oiQCDMJPD3Z8HOnrNVIxatCJOrKywXcXRVR4EJa75Phm6RPqWpl0Uk1NWD0zyVgW2XCpJbSQBvWGTab3UfnQXaj+ZMo6N/tNTwP1TwFlSCdKzwmGofeufEfiTbVCp3kf9m3RwOFHhEoGTEHriEPQH3lK/49JOKLan2QrY+Sl5DrgaDSJB85YGJLkyLdHAh/17DUz+RPzm/X6JIxEffFTJ88ALPkfn8vl6j5tTA0Y+1pa32Rv2GOVmdNF7sZ0PZ8xgqZzJAt+Twc4o/ln73EBQSIhUGjQtA2tda8b7bCKwjLGuoFqajKwtslT5q0J7b8qoZWMV5YH12DTQwn48xe7IV6hAtTQcG8fD4lHobMn0w4ePLmLzS29YeqddbzofQwN9EjaTHRK4TSWDBkLsOe+o97JjLbIKJzFungmXZxVsN8YJgHgHULLcDpOcePtSBu75oSRKPAfnnA8kWo3MrlntRtuAhUngnpuBkCg/an/T8oDsfT/SJaAnChzgudfQdBgs1eAra4Q3UUWPxk0NGgdGdtkHzDLB4rFRnvg6IxSk92agNzVBsVc+X4JiVWAD1f/IT4hKAhbyQTXH7fQJraynZYrE258CqzMABgak5H70AFTEB31gEYpVn3YK+HwUOBwAEjbpGm9wsGTCxPfLTANdzwYKVAr0Ns4EjgkXx13L0LlJ6w9BE6Jp4S9or6pgWxYk2bY8AXr6VnnNA7tRuWMKvpBCYChhTLJ0sYbannmomG31BHyY/uxhtD/5MIKnu0TgcYUjCx43XCKwGpAvA+aCJdALBeCBEbOCG+qLYtcHLkE6X0WyKYSNPXFjzKPjAaCtWex0rWgP5sjwr0AngqLbT0RjJl4Z0x+v18bSPX8o4DI6B3Q3if479QgidryLK37/OmBPgzvgKVuF4Mc2QZzStVPyvgwu69dDcZve6pflayPYkxZNel7wSSbkc+glQHdCBsFoADWS+vZnoXhMXAETubKsCFkiz5eh2Ua4UyRwdb4CrGuScX8PbC8MtSM9uZzVn4YPiuIxJA0ucBXOOftxS72/QZKDoi0ZkwBIdR+qKpKlbmR1fUBbv6yEefq4am1eL4TBRgGlmTFgZkKOm8+bJ1Gw1Wot2ABtlPECwGCfTC7s3wXsmjKrVQZ7lfADCxWgOSDHXq4CIzmRDi7Je/k4DcAePt+D93nugtRdsLyIpf8JBnljMuUHBunmR20JGfc0QdJwNUhQzAD0g2DCQMEi+zUgVCELna4BYzug22LS/uFxRCmwRPfGBulij9DK9g8/fyNwFQPm7Tmnz4VVrBSCBdsfnPevSbuFIkKESVa5TX6/qAVA50VyDQJyHufvgE7PQx9dAG4fQbAtBB2RqheTgNLDJMMqBHuFCJs9XECN5lkJxxF43OHJfR/P61c5XCJwEkJ1DUL93X8C0/ug7/2UzItveBlU51rouf3Azk+YgMlyuIooDHXbsjP78Qz0XFGbSnleSFPHgipzvPDD6giY+9qh2RYYH4HyasWhMBQnwiiSQ/Di7iUCLAnnG2xhiRlKCQPDIxmkc9NIBqqGIb60oobdJ5bXCUr30kiJ7n+VipHKpT2t4m0GI5ZsjeVv2QRAxgSywlXYB93PgKFFVt6MUR6zcl4sCDveS3hOX2sEcZLx5QqMyXPWANWjwEFaOytg7R8B85+zxyhs+mXGTgxAaRElMmCJ3+gihIF4r7Q8OMaWS8su0Xa4WjZBTNH4qK0JenIaauSIyANzbp7ESZrscNsMasMHoDdtgJ5cBFIMxixdZKBtx4Hyy6Y9Mletr/gvsroP+zNAR0jK/LtZHdKGI2GSqAveCjSvhU6PAz/4B+haFWozkxsFnPpCYN/1UJEg9GmvBUgavO7/mfaL6mT1qX7Imt+z8XnzHElQWRmyFYiJRejzXghVug/oqwIPHRLho7kCNMmba18I5H4un4tRabQr+CVwCsDKVRuXQyup7QV9+QuRJIIjqp7c89wc0ET1xKQhrur8DPRPdgL3zmN4sYhZrRFZqCF0MIfu7hpCrECwk9MRhC+gjHVC++c/j+D6dY/8e3H47cJVBI4bLhE4CaEXjgLfe7P0b6kMR3z336H74hIA2sKy6j1aEL15ayDDVSSJZbIR23efm5dEwjgLUgQnYsruS0gvmnK6pqkNV/+5IvRgOxT768cSsLhCJ5eAfXMmAqQNbDtF7jdTBXhk6f2/nyuJykPD0D12u9wvs4/WApjEL6PsR8a67fUaPwS7euSx5mpAToI4594ru4TIFtgSg+/cdpmZf2oUulSFMsRG72TWJxc4Kz402ILd33gR0rNpJGNBDPUnoMe/LT1lPo+BnCI8PIHsWQe98cEyMHFEjp9EN2/VGqbtMO2Um4BDP7O6DaMypdHVaQRt2MM2JMyB3rppETE/A/jngf1TZnWvTxmUlIMVnek09A/HoC6z3INcFZqcAFZvJsvAGstdsOdjaU2UCAlRkoneq94mz98jHgho7oZq7TdVAk0p4wJZ8/xeBIH7v2a4EZoVi1s+KOeNBEP6FvA7yB2b4cgnxz1JdBSdB80iTLYKxcTMA70TeOxG/KoB5BRQ7fL0vwCmvyV8DKM2SU2DfvmfVZdC0FZHGr6nTKRICuQYpmnJcCy1WfZ5ZBT6wBiUGkNtYND8DfgW+X0ChtNFbP3u8NJm/ifSj2g4tDTUwIrI3INZpP7tMwg/4dJf+Dfp4HAiwyUCJyEM+ewIJVJ5YW8kklE9kCXhmgS+zUHo22eAzXGoHlsVsOQ+UyqPhqG44jbe9Fw9UxL4GGk39u4DFShe8L3oafgCJLqV7MXWzvGzB8uWAMvfnsyrRyKMDJqVWPrIcpna9KEZoJ2jdnFxJmSQ9pT/uG8eN8EDqwF0E2QSwGO6a0ZK3Y1PyVYxt1de1xT1IXJ6TUhunQlTTTB9ZRoI0RaYPALuPeVuqYhHkcb2VqMtYMyBKJBE7gLP2eg41Mg1QBuDL0lsLGtT24DVh6okA5wUaOtr2BlbYSjMyeNzs9As65cqUItzAH9InjTMaLohxqESOTm3xygg8rmUicAEKzMHZZ9+OgvFsnamgsq0JIWBriDUeBlYL718faQKTBcBTmXwe8GWAEf+dnwCuPJ9gLVPEMEfGgb2QT/1fcC3/q4uSrUEqX6YpMMmUaZAxB+u4KMMwGERQWJbgsjUoIezQF8Eqo/jkz6g6yqomR9AUylycsbcZ5JAbt5MYtD4aBHYY4P0KacAAy8CAhNAYgC6zAkLii5dAkzS7bAGxepK6Hwg3ifVqZHPQSs/9N4p4N5Zs4v5r42Yv5OY0YhQWDiGY5FHDcV8PUGpnPeHaP7HF7pKwO8SriJw3HCJwMmIAglQ7Bnbfq7Plsdbrc1vo60tpWIbCeGmTx0EOqOmzPsINPatzfMt857gTHguL1MEXKkRDFbaJ2/B8rWpBpg3kZJ2ybLiGcDiSSS7O5eX3hkoKdbD4MBtxqPWE8AmLVXLCfCqDwzoO6xhToL9etvXjSlUZiqY3V9AmPd7h8N94bYpgMOVPPeXUwA8LrLYjx6V9Ia3p0vQXAWzXM3XbuyRJGlyQqYs2EdnsKKWQLILWLyxXpYmia2ViQXtcm+rH2DzRnmvhQOGLW9MjLgPdNNjq8WM0JHEZicweKKSSei5GVF13DUPzJWMuJGiCiD1DnjIWqMEn9kd4xfQ+BGa4MzyOKsyfvh7o8ZF0JA9SB695G+AOz8kHy/n65/5abmdrJPgfH3nQr/4WjO2aL5TTDrMc7pR23Uv8E9vlScyz7tEqhKUJVZGEpitJx90km0cDb1BPg/DLRjLAZ0KeOiLxjvCfO4eL2LzK4FD/wXsuxbofy4w9636QdGjYOdngHNfYoI7xr8slRaew/17Zf9omqRul2rUlr8Bgk8B8rPA7E+gOF5KqkNAo2rzq1quhsj08kRn03vejPXPfTb0znvM79FnPf+RfyMOjy+c6dBxwyUCJyH0rDDL1dYklLeCp8KvocozqAnBSbNUe2Gr6f9qkrtCATsKZkvqZvSNhDHpuxutf/5Plb+lkbn6qtRMBqRsz5gjWVx1ZdJiNsPHjh6EXrcWKmJ7uAxwoaT0eK2t8dD6Tuz+9h8jPTmHhL+GoVoBiiOHHpgMNAoH8R9WOEzvuQyMs1Vgj7MpiConAfhYtoZySWPiqA9+fxUd3rRePwOglqDIAOXN/3tl/r5eKTmzNE9iodfLJg5PQbPMni4D3QEoXwTobAKOfFMeT2eM54I644kiRcv9mD9g7YotglHro3AmkNsOrNkIjAwDWVvpYCCkURTVGolKGZpBr60D+uZdwEIR2GhNkRhIOd9PZv5tcwjlyth/Z9nESEVi6BP5mfiFRMmESTfMYG98JjD8HfkcOzcAz5PpEtXUUL04Bqq5T1pN33uN/H7Vx4XY+aV3mcTFnEV+HD+zBL2r+oC5nCgxXvJnwB2fklYO+Qheb4LHwOSVPAKOvBLnvFJUGY0okA3M939S2iwkRppkiaJUs8AdXwCGXiCeAkuiTPb7ks8bnoVm2+DLfw202QSEZkc9MWBBWhjeer9arGJjNIT7z1uLTKWG+Cv+Bme+zspzb3SmQg4nD1wicJJBjx8CPvkOK4m7fPVep6xZERg61HlkOP7PlfaSRS7Z1taC15gL2eoAqwVcoZnROhtxSVAjcY/mN57SGp/f3AG0dMg4GJ/bnhLJYYrGMMCxvM2xOHq8cxVn3reEIY62tdkqwgHLBvdAPXkPTCTMWJ4lo3EpR7nYQZoYSZ8/vTeL6lwZ+7JlpGs1FBFAXzWEqVk/ugcU9EMZYEMCipbEPF9kp3ueADxGU9GwOgwMWOYxe4xHOTZJJ0ANRdvf2Tx0Z9kQME2VhNti0GkEy+PNlwOLP5fjn6c/wGHrw2AnEsZp2iQrbIoUKU9B8VikpNSu2KOnOFQujMXDs0hWgaFM1QT/nl5lHAL376wiv+1ZiE3dDMV2xe4ccOsscBbtnIPA9A/r26Vy4S9IAHR65BHVgSVMj6B6ZAy52xfgi/gQOSNhdCZMYGfCwIQpL9oW+NZHoJ/zVuBjb6tvmy2qpihw4ZuAWCtw93vFN2DhZqAYk9U9yaLmybX693baOkLyA88XoYa/Ak2eA5NRJnHzlkzI6Qn+Tx5Moy4Cn3uqsP19e7LQi3lUClVMPZSDL6gwtD6K6QMldF/9zEf/HBx+x/BWOMfz+tUNlwicZKjsG0YtUzE68IEqFeQYmIL1iybZzuyhj4l+ux6MGZU4M+rHuXuuio1Ln1W9IwmPoKMeV/iG6MX//fKYlyjMLgBJrlwjUq73SIdUszPOcWwDyPbF0pWtgBZZjbJFYMb+JutiQKxC8OLekYSmBS6TDDPDXveF19QZoOodSWT5HBQtbvuagRlrbGQTof3FMi4+PLp0jm7sX4t+HYRSVVQqGuElqwUNzUA1PgM1yEoA99Uy8Qt5Uy3QrB8zoBkTpohVFmYAsgF/7xT0qWuhODbIn1oFmna7RkQpCsXxsuIOaFZWjjwk54Wv5/ntsKNne8aBsYz5PFR7t7gQesQ3HuPIHDA5B+UFVSYBYzlsedNNS8e486kbMZQIw8ekpOLHxvP9qF33dWR1FfHzW+uXPiY2kRBULCjB8+y//+VJwI2vlttP/0+TDPBHsxIwPYLa//eXRrFQRQOIbKE3Atsu/D6RG1KD3kuZZLYkbHKVPobfcemLoEI0RvoG0PQa4OL3AGNfMJMAmnwNfpe81b33P5MDD9Mc6SNZNgP0rQF2HQI2vxioSTXGgP4IfgXNZJPbGHoucPuX5TEmDWxVUFbBtpSqrCLtLixRORxOQDiOwHHDDVCeRKgcPIC5P30lFnZksfhQFhVKvM5y9EzLRT4WlNI/2wVsHp/WDlAZLxqG5oqNY2scVSNBjkHRBF0LVgvYGiA50FsxT88AY+NSBWiiXjtH2QLWRKgKTI2Kmx9X1izpe66AS6V9thBoLZyUxwxbn6UKK2ZEaVwqGq7bArSskRE7EsfitPrlSjkAxd4+N8ephdZWqM524ShQze7BRSR7wig3Lf+atz81ga0vb0W42Q9Na2W+FwN5nqRHrhZL0OPjAPvwbA/YtoUBqwJc5S5xyHgMDSuKqA9qLl0/DgZ8vp7jgHnLhyDiZ0t1xWtDNJIez98CPOVcqAs2AQdGoXleWOoupM3/ioz2vYu2pE4FQoU0WwQNSLMaEfcjPJRAdEtcHKKN0mMAeO4/1J/IyoznXEBCXku95K3Ls+bnV8FUB2LSvvGF/Yi97Z/ks+F34Yw/Re22OVTvbjDAsihf817gpW8wPgXoDUMF9ppEy5Tu73wPdKEA3fIM6MU0cMeDwD0PQeeLVhUwCnStgTb2zt4Oa0N2ZFKDgzJ5Uf7PDxtugrFNNpoGNeCM1xtZYIUa1IEbjL00DswBLX9gNBEC7UHMTSvkdQhNH/gAer77bQzefgtCG9xooMNvBhMTE7juuuvMz759+/C7hqsInEQo3i1+8v6kH83nN4ljXKwqZLFMGborvrSCVTTKYTmf4MWRwdAL0LmCXelzFM9uvHGUiwEyLAxyvdS3F1HdZeAIGldSVk9elzkLT1Y4595tlYKBlsstPodthMy8jRJlSTKoS++BGgRDW4DhXUBvDzRbA0fGTNDB4JqGIBuSXv5cGf6IH63dDdtgtZ35TbaK2FWd0EfzUhpeUtXVkgwYBURL0ms8MiZHJLz1s/ph/3wotMTkiqth49RYknPJIM9WCCclDuw3JjX6vCuhqB0w9QPxuPekmb2St7V3NpUHCkFNZ4H/vQ+6OSEmNyYpoKmPnWbgC8wE3/IJgiS5D2c1Qe3JmuPwhQOIdPjhf+d/IHDeE6C3nAW9MAbc/A/SwjjzbUBTD1RczqNJAMY/I7e7/wSKRj5c/T/9Px+9NRD0Qb3x36GaukXfoPtDck4//pfQcR9qYyWo1iBUC6tJCqWHc9BFjn9yEoW8DJbomWw2AzfcBt0bAr73D3IeByxHhNsLhKBOucCQA/XBh4F9Y5Io0R66jRwWm7TR2tmMkmrou+dMVUqfloIyUsanQJ/9euCOa4BCBZoy2xR4WpiH/1Ihj3S97q+BgTMQdsF/BeA4BYXw+K+Hjxw5gs997nN4+OGH8drXvhZveMMb8LuESwROEpRv/ykW3vIWMwPf1BtDZYTz1QpBisN4MGR9vwk0jfr0RjvAK3cbmjmAQwtQ1A3gRb09BcX+tWc+FApD8zalh81qNwNM5qE7OmU17sH0121AJHJloNPq8XNF7a2qOSKXbDFaBcbAZdlkAqsJXE0qILMg1YU2SvUKGU0zYTnW4IiBreGuLd0xPHjlBizOltEcDWADEwX++TcHoReq0JTO5Ygiqwg8/iIrEeRYeNa3fO+iECrDQeieHrlv0vIX+P5BDX0gZ/T6Fcc0H34AYHWCIkCwdsQM5ON7oHkcVLLrXwu0XsJSDlA6AOSsj8DhEWA2DYzYCgIlgZGut1umS1DcVzL8yfZXCkNdcex69wVIj+aQ9PuwkXLFVObbGoS6+v8hEJFpDNUrK361ZtBUL5ZGPqOdS0nAL8OjcQP07BHoT/6huV295G/h+yZ7+wBeKS6O5CqQJ1A5WID/yj+H/5TTECrUUBsdQ/nf3ooAJYn5sX/lZ/CRtLmQBS7+c2Dnl+W7Mj4BDPQAbZdDjX1f3pMtmwx1CcrCP1gsQHU0yhVa5d9TU8CDMkViKl6oovbwj4H/+ZgQEyeL8j2k8NKOjwBbElARP0JnnStkSIcVgJXHETj33HNNNeDv//7vcSLAJQInASrf+wZqH34bOoZClLBHwKrEVe5ZPGY0kGVsju8x4LEsnQTGqOhiB71rlLttN7w93VoDDo1LT5U9Vwa+eERWXywvs+R9DBkRRw7JytibJGhqEWMhvqZUFBU/D+QCcHUdlUCGUl4SFJZ6uapjLXvDZktStFMMHjvcBFchFhrWuBf06TaXzZgJB5UIQp9OcZmq0VTYTHlbBkdzYjR0ix9qsBPqlBDw4FFggiqEHOfj+5NFbl3ljPsdS84RKK7082WoA0c43iDBnQqNvVyJcrztWVAPfstyBgpQU9PAYL+8J5MXlv87BoHsdlnBxDoANSr3swrDQEUNAYoksQTunV/D7LeJEwlvbUFgsgxFfsBkXj6+qSKGOiJARxT69llgPmeCnHr3J+HbcP6jfm9USz/w0s/Vbzc+Fmw1lQDv9i8Tr9Kz4gJYXawg9/d/g+QF8v1TiWbgrd+AYtLz01ux8wP/jMw734u2LUls7oqhOkpNCYXK0YLxcYC/CN/amAT2Oz4vbQvraohb9gOhA9Dr49A/vxWYtZWjoH0O94UcAVNd8C+RAY2KJJOBClU0qZEBqLs+BQyEoA9brwevtsJK2bP/Baqj1yUBDr8UU1NTuPbaa3Hw4EG87W1vQ1dXw2STxf33349vfvObKBaLuOKKK8zPiQqXCKxQLoDOZKASCehd96H6r9LzrQWBFE1jPJfbM1JAk53B3voMoHAH0GtXdFxRhWvAOq5UKxi+cx/ShQqSoQQ2bWiFotmOxwVgoXqxZBf25BLMylsUqoaRbu7lTDgZ3tSvV7YKweBtLIPpIjdhZ/U5hhgx5EI1NQNs2iAyuizvM7ATUasyx8A9OgoMDEoJnYF3GUgU5P5Lf9y0CqYz0BkmHmWo7hj0A6w2BOCvaFSbFXyKwjSUp5UAq2Znobui0AesIc5ts6akrClVPNAMxMPiccAEh5MBFGFgxaKUAvrapcJCAadoHCowAX35RSJew3MxPdKwqwrYdh5ULA698UypNngjgcM7xECpWIJmgsZj9UrWfCmrOsYboAY9ac8Rd4NCgTP291INtayU2RVL7nxprirkxF+CYxOAZY/9kgRgKQn4+p/az0pBV2rQDWx8PT8H1RpFdXwGD7z7fbhg12F54H7goSs3YvNl1n1yB+f9OTYIaJIbUwExMeIxnPt6IDMH7P8owMoBk8xNLwRu/0TDjtrScJzjnwp686vkj4F9qZv/zSgKmurJs/9F2jTflUkF9Wf/ApUalG346/LcDisMjzNZ8J/+6Z/wsY99DBdddBG+/vWv4y//8i8fkQh89atfxUtf+lL86Z/+KZqamvD85z8fr3/96/Ge97wHJyJcIrACk4DpKy5f4gLEeqLeNQxqQwz+rjBU2ivhU+BGSsj69m/Bd6ZdnROFnNyOxDC8bwJb3uKJ3NyF3d/4QwytbQHWSmm/dnAcigGc2vtG2a+h7r4rLfK1a6NAUwXoislF3Iz5sQechR6fAQ7OSEIysh04d4vM4LcnoEwv3pIDTSmigaBIshmTBiYE/CGJzJTrGyoRDAxMEBicOUXQS0U5AA+zOuE5DipgUxJ+bnrC8iLY9iAJjfGC54jJwQOL0lcmODlhKhWFOk+BiZHVmIdvFqppm7mpi4tQHRuhywVJkIyFMnX0SYK0ErjRVjPOZva8Ykv+Neo51ID1DMYaeGgPsMjPRaM2V15iyFfnSlIyb7xetbOEXldhrG17GrIf/ao5D7G3/xMCm7ZKcsIWwOOBF34QvoUKat97CRZ/NodoVwy+f3iVqVqUqzWkmQQ2IMNVPnFMUQmHCqgqjcAGq0fx4w9AxXzQA6wc2VOw/VqT9OmRDBRbOnMlqDOeB+y8zkhE44v/It+jDbRqtkZVz/lnqJY10CMPLrWrVPd6t/I/GfA4mw49/elPx5ve9CZs377dJALHolwum+SAZf93v/vd5r6zzz4bL37xi/GKV7wC69evx4kGlwisMLAS4CUBrc/pkjF+MrL9Cv4zWqX8zmA2TQKf9PwVpXM72T9lrzuzxMrXmRIwuYD0wvLZqDTH79qsMA2Z5AMdwCLL5zlR4vNzJIy9/gYnOuMqV5aSrHGNawjovBjzCp6wlYJDh4GelCQUJboW+oQNzgs9Jw8Y7PnHyf9ZKfB4BgEGfK7288B8g6iRp4vA1oCX3Uf9Ru2PynUGlNC9qAe6NS0CRHzvjhaj5GdWjJs6oHuagLmsOWZfU0h8B0h4DASgE0koVixa2mT1zsmC2UOyXyNj0LF2YGKftC4618p54TEwmcnO2vYGfR4sK5/HtEguwLRVZqSBkF8c+uaLUPwMqcXPMTYy3nneOZGwOSkMeFMB57ibPc/7fiSfr0/Bt+0cqIHfvuCNGTN8gVUdbOoz3Yumb/0QemIE+r2vNax8tkwC6yJoHll+qUnUFGr3LiI3WTKVjNjGKAJMztgWyFbE0MhIErMKVBL/A4KJ3ugkFPkNsxVoJkys+Fe/bsYWl1k38/y0R4FL3gzFyZivvxyYK0pi8Hvvd0nASYPfDEdgke6lDQiHw+bnWJx11lm/dGu33XabaR2wIuDhuc99LqLRKL7zne/gda97HTKZDG6++WYMDw+b55Iv8KxnPQv+Y2XDHye4RGCFge2AZfD7EVgfM6Iwps9KmNK3lbvta5WSOx9aKvWzrOwH/veIuZ0k670BNNMxmKDOfUN52JMrrmjUtjP50Ji5YwG+mB+tdJijPsGBNHA6Pe0bNNpbm2VSYNL2dZlI+MOSMHgeBWNThvylT1kPRRKiaRXkZJ+5wmYCYNzmtHVFjMiF3iQKNqMvFqFYgZhPy2rZW+kzoaFd7JE5KPaTKTFcY2CNQBeSwMNjwGkxKGrt+6ryGh5nsWJWnQgsyPnroWd9AJiY9q4UoptQzAKHttv7otDzs8DYfkkw2Drp77MGTrPGYVH3DBkVPCOfSy0GI6xUM/a7wtbg/TVr0ONHNVuBby3FcRQwXoRiu4d6TnszwuE4pRk+vx/xT3wGKtUD/+OQBHg4VnPAP7gOGFyH2rv+A/rdrzVtDuoInP7kTuy8oAWZikLqTz+EwaoPlclxVP7xzeZ1TOCMYRG30RkyltXqOVdCNadQm0lAzd8in3fj9ypOnoUPwzN5pIfnkWwOYYiBvycobZdL3yj7N/wROVf1vYZKObtgh+Xo71/eJnvHO96Bd77znY/5NDG4E2vX1v8OQ6EQ+vr6lh5bWFgwUwPEzMyMuX3VVVe5RMDh10Ng7Tq0fePLqF33d6gGFQJXvxnq+vcB25qlTM7Aky4CxmlwecnLkN68UreXeSbDGEqGsevzz0MmlkAyqDHU7Enslo3UraIr4eY1RjfAyNOWNaq1HHI7MiiMlxDpD0uwZX82V7FTeFqqDwQJgI3TBCaBt+/BEi2XdAPd0IfHrVMfV/0s2wctkY5Ke2w1WLIgjYw8FMUYyPxQzrhQEhlbtgVYfj6jRUr0hyeWl6GpnMjRw5Afuj8FRJuEiU853yxXBlQsjEqFgLwH3lMoQhWm6lMNHAecnDLz6kjQgKgERcvkuQPAmpRQ0NjvHxsDOjrqnwErB/b4Kfi09Flw8i0ZEcfI01JiEnWkgGC3lMXNPtHPwAO5EOQFPPkdUAMbEfgl/f7HG76zLoH+6LdMdQARHwLNLdiUW4Bq7kFpvoLhc55snrfhhs8D+x9C4ePXwD9XQ+j0OIIkQ3YyuRUpatV9JrDmLKBWAjIzwL7/z76JMknA1n97YOl9d/3jeRjqjAIb10DN3gC0vQ6aJMzDE/JZU1773DcCmSx0+TBU58Dv5gQ5/ObQeD35v74eMtKXSqWWVQT+L8jn8+a1DP6N4LZzJAKzsNXba6oAJwpcRWAFInj6RdAD/21uc8RJt3YB97AXxVVuUCoBXGkzKRidg+bKuylqlPdkXr/dBHT9gnOAsAjKbGJJ/igrBDVoX9QI2ZgAyD+MoKj8MdAadz9/Df6L2pE8swXJnVYopqShWcW9bxG1goLvnCZh/q9dJ6vhXBalBRHsCa3tEvIdS+zUE/BMhNb1QaWsgVF6TtoLRpGwBCxydLAqokVU4SP4OBMF08snf4CJAasbViTIuBXWoFqi0E0DQpCkiuEUrZXFJpnkNlP+N2Y4/Otn8mE5C+09wIhd/RNTi6Y1YjgQHjlxZN7Y6+m5SeCBOWiKC1GtcWTRBDNjwZullDATFv7FKfEj8ECdAGSBUbYbNHDuMSvV7ogYAhWrqD4wb0iP6LL7atsyqmP9LyX9/a5AfkIjR8G7VNeO1JX+qukc0u97v3xHJqjMmEHbi7oRMKN+FpQK3vF++VynpqRyMEVyZQ2ZueWmQGlWpQhvPDbSBmx8DTD8VuEPbHsJ8Ol31HNCTjW4ZGCFw5pxHdfrYQJ1YyLwf0UikTCTAoVCARHPXZVyI3Nzv5Ht/zbgEoEVisYZZ9V/LnTLf9hf7OWWJeP0MLDnk/I7V51tlqXNMns2DZWIygWYyBeg56R0r/pT0P0dQDYHxYvu0aPyMu0zCQRL2oY/cCzYz+bdnsodA/jEhJnxLu2dx5H3HzCP978rhFBvRNocnqDOsV0+GvOwemFuUyCIAZMxkzKylOsN1pUIOWUQoevgmNjbmrn1hgARiUIZir2979T1MskwfBCKgYOvOXRU7IQHesX3PtpqVA31hXYfZ8eBQkaqJBm7X3sOAeRZeDCJiAaoV7/Vijd1WNLbdFraDckI9Mis3KauAt+fj9PQiLyAnVPCt6Asr7FDtuqBQY30fWkkN8fgf9k7oAbPgPKmCh4vQuBvCL5kvH47bidEjkUmg9p3bpDP+sL1Qpz0Jv34nTVaDwEkE8sdMpNPeQ3QdHddz8KIOi3IKCIT43soWezg8NvDtm1CIt65c+cSnyCbzZqKwym0yz4B4RKBkwQq8ShCL7+MeMJSOlfRnFvnynhkcqnkrRfS4j/ARHnJ0IU2sdbS1zD5/dDTcyLrSt32RMCU1nVbFmgLy0qYq+fiLPRYFvrOORwsl5HVGsXJHE7pYX+ern1roZpbAarcNdbuG6cHGNTZJjASxSTZzUvQZoCkJ703bsh9LFWhjYGSjNsZLQCqGWYb5H290n5PBzA+LaVjEgONHwDZ+YGlSQGjhMj3rGahyQVgAmEesGZLv/gTAR6cwXBrjFJASBkzpbgZN9QtMWAqDRxq7Ftb2+RZ8hxIkhSdfvRHUZsuYPEbE6gtaqg//yh8Z12MlQyq9Q3d86Ol28HPfwKV/3wTfCRDNgcRoNATT+3kAhQJpp97B3QyDPUH/wDtnwC+/zHzWl2uYWMsIkJKxSqSkQCGhtZDpYWvoZmwje2AGr0Wek0L9M9GoAbCwHmtoplx2XtcNeBkwAnmNXDOOedgw4YNZsTwk5+UhdinP/1pcy0iIfBEhEsETmZw1ckZfRrfHJoBhiftFEFMmOpeSTQ9CdXVKqN6tGllcsCVL6WDqfJGIleezO0GV75IBGpjO3TMGhmZPj2AB9PAJVTpY0WgAu2jfn0IB2MaV84x2AN45zh2XnM5NjUVgIkHoNf3QsWtHe/kqLUFjkvwJ8mQK7pj/2C9pIXl3pFxKJoeMaA3x6DaW+XxmVnhG5iWQhwoZJdtRyUT0KEwcN8e00bQPXGo8THj+LckgcxWAtHcA7WQlhbANNsRAAbbZWSyXIFPV8zIn1l5MpeYLGB4JIctb/fGMoHdH7gEQ1Q13LcI+BtIbzwOEgAP2UoDEwC2APgT8MOf8CP1kc9AJbqEjHcSoFG6N7BxCP7usLGMzv18Dr6EHzFOfTAHvPoFwOJ34euPoPiV96LG6Y9iBaHmAPztAVTuXMTGN7wXiqTW7/4j8N33Qr/wQ8DCCHDde4DIO6BP75bvFgmYlDRuiUjS1/6rlRQdVgAe50TgBz/4Aa6//nrD9ife+973orm5GS960YvwhCc8AT6fz5D/nvGMZ2Dv3r1GR+D73/8+PvrRjz6q8NCJAJcInOxgEF8sQX/firlkKsDzB6EGhurP8UbQIuIQqCjQw1V2c7MJxnomAzVfAjrt1yVTgGLQpdqeGUsEat8/Yhjt7P2rU9ZAjUyYJIDEQt6XaVlOnMk0+A6Zn4V5GdcjYY8gUYe9Ya2g01yJi/OhmShge4BOgAz2YwtGhU93xKESSaDLtj944bejjkYGmT4FHV3AyCiwsAikksL4Z7vAlOxDYqLU2SKJQ9WzrqUtseUw9A1Km2J8lyQaazdBJWyZ+547oYZSABf5bJtsa0O6Nw18rt4PT/NAea7j/J/mRcyWON3BVgbLL5IIGFGe/jjU0/8Oas2QsQUOpB7F9vckgWofAN70NaiRo6i98k+Eb9LnR61YQenTwoWpPbCAAw+U4fdrdHSK5ETL73WZapG+5h+g3v3RekGJZM9brpHbPN8TC6KIyfYLCaRHs8ALPvCoVTQHh1+FtrY2bNmyxfxceumlS/e3tFh+E2ASApoJ3XTTTYYv8MEPfvCE1A/w4BKBkxS6yF5zGuh9FjD9RainSiaq71qEuZLS3MUT+092AukJqQB4iG8DivfJqpzs+eo89KQwXkmCO3ZsV125EfquQ1B9caPEp2l9PGlX4Gta0XRMayzZlgD6xNrYcA7YStg/D2yScUU9Mw3lnzPOidhvbYt5/5Z+qLlFINlkEnnjmhgJQw01rJTJTZieBrp76iY0/J1EHbL3GcR5XCZZ8KM2UoaPiYDHPqZOgU7ZnrTHYeCqwwfV1g59wTZgarKeBBCkK1DY6KIzJR5lqPk/s/yYWQ3w+aES9GrgOea0hW1fcBzwUFa0GPhuV/0dfKddjdUCJgOB9gGkvn6j3DE9ivLfvtLcrFU1ipYP4YE6TIvfn0KsPQQ/9QfYIvLAxK3RJIufG9tFb/gIVFuP3HUCkisdVobXwNlnn21+fhXa29uNiNBKgEsETtYkYP/7gUhSSIPNsaXyunrlE4BkO1Qobkx+ENoMZB8Q5zfjbGdd8Ba3i3ugLwI12AbNkjcD58z8km97I0wvd0uzkLo4ZdDZBs0yrNEw8GFoQzt2//PFRsY4EQtgiAqEHKWhAiGJgNw+lRCn7AU9HhBxoEabWR7b3YegBmPAwSPC9A/7oHo5WtgAlvXX9Ip6ovd6VgMWZoyAkKkuMBkiOJI/nocvalsN7VaZcG4aihwGGgxV6C7I/j6lkKNQ5ECoCvTkEZmkKJVEhjgp1RGjlti3FZv6A9j9tRLS01NIJqMYWtcm2y6XoGjnTFBmecOzoI7eCDylX4iW83mo7R+BXnsG1ElcCXg0+AdsQjewDuH/90nk/uqPUc5UUS1pBIzds8LUpEbXgEKASSD1IF77HuhPv9t8f9Qb/h2+vnOhf/8z0HNjIrHMVsujaB44nCR4nJUFT0a4ROBkRHnOsuqLErw4LdBsgxDL4UEbsKjoF10P5HYAkSbRHSDBkK0Bsq6DEaD1SmD6e1Bc4Qcj0OtOhSouAjt3CHs+YcdjgkGorjZoavxb22Gs7YQisY+CQP1bMXRFO/TOnTI6SO13/tiVm1l891HZzxLomMDwsVIJmu0Cz9NgKClJA0mBbDv4GuyTPRhDJaoopqXszpFDHhvJjqwE8A+/WMCesTzSUxkkK0UMlW3CQAEcjvt5ksU8bvIL8panEEqY1apHYEfeEgg3DUJxrJE2t4k1QJazcMDQeduAo3sl+aBE8tLRNuDQDVY/QQHrngHs+MZv9vuwQhE4/xJEr/ksyq95BQKhKnrXK/PdCrz5fah+4G3ms/KzFdXaKZ9FSUMlZfxSpTiK6gK/g8OvA5cInIwItUoTlej8AyDQBJQmDPMdCz+yLnwSlFSwDbrtamD2e0AlAyRYmidDf1Hi1fyPgHACWLMeSPVKCJuxLQQG5551IhPMfn7/70MVp4HSdkP6oyXyMrCHVrJjc+xULLkJxo3Ai0olgJytSHAl740W7s8A5/Qa8SPFET7Zc/mPGgkkflFymOI8xl/APsYEgD19b3qiq2cp+x8+OIstz/3i0q7t+qszMcTKAlePXhWaCU2Swb3hOBpv05q5qESLYYlwRP2C5SNt6Fwjx7IwK//zmBOdUt/ueCJw8DvQPO6Di8De/5I2wfM/CN8qqwY8GoIXPgHN19+E4r13o/z+t5nzHDnnXOBLNwITR+Hr6TPWyvo9ovnuTINWIU6wqYGVCJcInIRQoXbogdcv3Taw/+vYRqBq/Qb8SRNEVXU3dLwbKM5DtW6U5wVOB8a+Ii0Dgux9b+VNgt1GW8JtogMfqwIkwD0A5MelbbC4AM3+//rN8jya71Ab4LTNwPwslLEXtn+EZO4bA6Ag0NNlPATMn+aB/fJ4TwLg1EJ7wuPTAc1JcfLzB6C71srzGaOP7FzSH9D7jkJtWVfXFGgYp0xz1d+A9EIZeGqvVCGUH5oKg5SiNR4HTCb4p8Ikod6rVq0tQBt1DEhE3CwthFoJqpKHZtWF1QFWAZhIkbDYEQNKGSDaJZWM/BRQ2Q70DQAHxcp3advhY9odqxiclIgNrkP1nPPkd09Cub8u4eoSgP8bdIELBGtXHkhBRU5MVvuJxBE4GeESgZMUSwnAo1nLNtrL1mSFrQJR6J7fF4Igf4/0Qnf/PjD77fpc/4EHZQRvcIsEPSJ2KlRpr1kJaxLryAmYnJCVOKsSDPJcRTNZiLVDLc4CCaubz8AcigFRu+pmwGVw1SURjeFtQ+xqht4+Dh2agRpYA4QpIEROQxmKrn7eHzInHB6cFElikgxnCtA93QznEpATzZIklEtITItIkodkfwxoiokvAsHqwoPDwPnb5JhY8SDY/2/rle1l5+xJ9UORoMZRw+K8OVemdcAVv2E0NrQu4l1iQpRbABrIhqqpGbp1EZi0VZDgLxDaWcV4PD0UVk0SsOufgFQHMH3IeDHr09+18pIBxxE4brhEYLXDlwBiovuuGLhsIkBRHRUdgCZJzgQyDbX+VHEKjF8K+NuB6gLU3A0yfUARHj7Nrpg1XeC6u+Q+9tq5Iia4OmdpvKnBL8Cvoblq1mUo9uI9Il0jBpJArmCd+oga0LRGRvWKFDZij70ADDYBt07L+5JDwIpFKgbkFqHabLUjn8FQ50Hs+sgTkZkrIhn1Y+PQGoDa9uRWELNpIFuAvvshQw4Uv4QIMLhV/moWJmTb3N6RcSiS0SmyZKzwqKlAPoIN9KwCMDVI9QNlmhjxdrOc1/EjksCQE5EIQfO4Lnm7Y7U7/PZBUjG/w0zuPeVOVqlWWiLgcNxwiYCDJAMeklb5yp8yJUNFrXau9gMbgOJDEtB0ASrcIax8s/b1QScuAOgQF+Pz7bgfgyJ/58/sYSDRBTTTorcbWLhl6S012wK7dgNb1ovjMEvnlQx0il/PgpXopZrgo6ySixnhKrACMT0LdCSAK7dI4KYugi9nRvmQqovHqGgCumMQQzu2A1Tx4886chO0Wf0bxcO7dsqTPWlwO/1Q32meI/vnMzAAfeguqXoYu+U2QNXEjMgkBhUg0mIrBg1qhOQLsPJBpz2OOXZ1AqUxIWk6OPy2wTaYSdAbRD1YlVthYPvOtPCO4/WrHS4RcFgOJgCPAEl9cXuhiAHlXUCxA2A1gES9lmcBvrAhIaq+c6DbhqAKUeipB+3LFdA+BMU2gHmPKejelwFl2vXeBIwflO2kqBRDSWCaEq2HSs6YyQc9/IDVG+B4YwVo7jZBWJGUl2iDppsfFf/YKuCUQXMHVGba2BIj0my1/BehjW6tEIuMn/3VZwAP75VJAWof7DsArF+33Oq2UIJuWgPV0iZtAVojZ+bNa/T4UTOW6GsagI42SXuDbQ1FwiC9BqxrITipEZXKwOKorQ5cABz6tiQwZvLAjkvSq+Cmt0I/71Nu3M3htwtW8eZkugXdA0C8HSpqx2pXFBxH4HjhEgGHX54UND3HTBuo/K1Lpe5H5M+cSjD9cCHjKfb8KyNQa7qhqyWoIEmJx/gezHxbbGXZy/dEfxhIGQwLs0CtKG/kpzd9GCiHZayR72PY9Aya4nVgVtpt1rWvSs+DAMBEgAF9QYyU0BIAKpYg2P0sIH29mVDQR2Q6QrdFoMjP0+z1N/T0N26EamsF5qeB/icD2QdlBHORaos56G62MRRUKArN/V9a8WtoWiQT4ShUOQPN6QruP/d5+laZliCfwbgz5sVsyFoeOzg8buD3cW5GVDxrwm9xWF1wiYDDr1EhsJcGBnpTu6eefhPQ8VL7LWoWclzH7wPlu+0La1L65ph/dhp6+rAZq/MNnFl/3CjEcZyOmgM9wOg+IfatiwNT7J0ngZEDUpbvGjAtiSWDIUMQCorBUPcm0Sowdn3KcgW2ASN76kkG971zk9zm+CS9BdJFYLQIRRMaIiHWySoRgX7286Tq0NQCVIqArwZk7gOibfI2bUPAOgXlkfrKOSMkpHnMHDvMzQGsZBDrtkJHk7IvnmCTN2LIZGVuznALdOfzjO6BGtjqqgEOv31U0kBzu8gwT40AJND2TQEhqzmyUuDIgscNlwg4/GpwzDBxNVCbB3K31RODQPMxkwq9kiBUFoHaAbkzeTn07k8A5SJUuAYdOkd66wsHRWGProMU7BkdBVqa6rbiXOX7KkBfnzDt2TqodgIt55nxRTP9EFmAyvxAVtmm4qAlsWD5nheHM94i4krj3xSVRE9bgUGYsrPJWN3vkCJEXS1AbpozkVAt3Q2cAC8RYk+VlQraMFegfLafyvc3asRFmUoIskLScGJotmQrFNojI0YvAO74AnS+DNVFY6gq8B8fAtIV6K4o9Du/7kbiHH678EWFE1Au1itnvL3i4FoDxwuXCDj8+smASQhs8OftX0Q8pPpe58vNryrQApz6ZiD7v6JZEOkA0t+HTvZZN8DD9ZVxOA70bpQye7Ww3IqYKNSgog1qcdyHwO/JyoaR1xcR4aTCN+V3ugCWh6G7t5kAbhznjEYCe/ZBqLYg9FM3QS/MG98AE+450kgfhtIiEKBuwShU8wbo9tMkCchaB8VgEzR9A8g7qNhVPusZHRuB/AwQS0LHknJhZRWDLpDFAhS5BUwS7vlv6AlaERdQO5yDag2IKQ5llo9VSnRw+G1AVaBCCeiaz1g6m8kgz4DMYVXBJQIOjw2/KAF4xDer7sSlQs1A1SMhWkXDQAS6vVcmCaZ3Ae05oKUH8IdlMU2BIyYDnEx44FYJ7Fte+Sj7Q2nkpvp7BTuge1JA/idQZSErSoC32gWEeQO57dt2BlBckJV8Pm36pEsgV4FkQ29/G6cGyDmk+qKVazZ3sdLQGMQHN0q1IG/9E/j+2awZ09TFImpHC9CFKny1IsrDaQTXRWW3Lnu1qwY4/Pbhj0IXctCZLPTeBfnunl9beRwBpyx43HCJgMPjw0724G8Gmp4H1NJAlR4HKVEv7LgSyNwmc8xEvMes4HUsJWI+2QWg5dez8VRBShlbAaDkFfJ/5ub646E26K5nmXFI5efsfj+QZ9JxSCxs9+0AaNPsiQGRJGlcAkPQLZtEQMhwEbLSsiCXwbQkrGKjh6WkwAdN90PyA6ijUNGoTgHF7WnoQs2454XbQ8BRW5b90oehz7wCqmfwuE67g8Mvgl44Cj27B2r7HdDjOWCnCIvp0TGgbyUmAsdjOqSw2uESAYfHSbToqfXbhD8F5W+GrswDay4Qz4NwDzD+X/J47Gwgf58YI3Ecj0ZFgUcRGvpFVYv40+q3iabnGsEi1ArAwo3S3ycPwSQOEZOM6GAVSD8oioa5eSBfBAbOAbKThldgxvsyY4ZsqCMpK8A0DwSYKJAYWYOmIFKayYw20wIEZZBx/yEhPZZq0KNF+GoaR9cEML0rg+DhIs5lIuChoqFpbOQSAYffJKgiWk1DZ9PQ17/eJKq6JWIMxrycVaerOGa+x2EVwCUCDo+/aNHSfXFjh+xBRddB971WbgfbgOgQdG4SOOdysf+N10WBHnMLw9NHqCw0TC3YVURwC1DdAxXvgB74Q2BcDGzQ0QtU9wJhURA0SQlJfdznUhaa3ABWLvgg9Q54a27EcAaMsmLacgcoKRyhjTMTiapJBoYzRWz9r4eXdu/B9gA2RkMIbIhBZarwdTyGY3VwaED10AHoyf1QkRj8p10EMNmu5aBz/wuUqVkREkOuzCLQ2wvfxghqe9LAbAG62ekIrEa4RMDhhIJJADz4m6CS9f7/bwScamj5ffuL9UugWFJ+j9yONQRgkgHrewaNNUDlYaAWFw0Diij510IXH5YWQT4NnVmEnlkAdo1CjZEMqYDzO4BujhnGoGcmgGINCzPLTY/yrQEEm8KGolCdq8BXNWmFg8NjQuWOG5C/5q2IX9BsiK+Vwsvh77cKoPlJeVKiD9jQB5TyUBy/pY6FtQQPdNS5PSsGjiNw3HCJgMPqA5MBg4YkI/oU85/SVWg6MFLIyKycLudQojyHHABjNjQOhFJAMzkL4zJyqELAAz8WPYXpPLB9DrotZNIHHEkDW1uFM9ARBdJA0zH11yRbH6xTkCdQpOyx1X53cPg1ofd8H/rhDyP+1A65IxSAr3obUNu2vA/u64fyPSjywnmrs5EKAhNAbXwv/ANbV9Y5dzoCxw2XCDg4NLYuKtNQRm+dPgnnQbNaMP4peSz1FJkCoBoihVi8NXusExinD4MFg3pbFEgpIEkJ5hTU2c+Qx5puh7oohE0TC9jFnKBYQ3y6jKFUGNVRq7RotllvmTg4/DLo2SNAbgJ44MPwp8LAfN4kAdjYJ5bhe+8HtlxYf0H6LjMiO7zrKNK5MpKxIDae1Q1dKEJ9933QG86Eaut3J30VwSUCDg6NUBQb8su4YfEBIHxenf1P3YPFNHQtCNVaAQpz9nmzAL0GvE3QEfG0JLBpG9S6c+nuCqiiqSaoVJOoIEYCGGKyYGiFRYBWDb20bAZUTxAosozrbHcdfnUSoD/zR+JouTYJ1dMJnVq0/iBGpxPofyIQOw3I3giU0kA4geGji9j8om8sbWf31/8AG2NB4+Wh58ZWWCLgBIWOFy4RcHBoBJMAlv3pg0AUxoFyASjmoe/9V9NP1XuLwHPYU6U6Ya9IFlMwaOt50Ad3ATOWe9C/DSqZgl48BBRojUyRIyok+oCWJNCfhM4Vgbi0BXwTJbFOZjXi2jei9tIPwjd0gft8HH41KAi0/iqgcB8UlTrZCmjtM2ZXKuUDSg9Bh1PGfAvFLNKLyzkq6UwBCPiAqB/wrTBBK8cROG4cx/Clg8NJnAz4wtC1AWDPtcYdUU8dBdpbTCD3PXUTFC1cqVCYWguk1rEfIFrtJF954OPHwu8TxgGTgoUyVMBXt1HdGAdOTUJRXTBXBj71Bugpq7zo4PBoX9XWfuCl/wZcvBHqwHeA2Tk7U6+MUqeKSIvJfOcow933UiDciiQDfgPYHjB23sTIPe5crzK4ioCDwyM0D54iY4t3v0UIVVm7wm9rAWocA6QBURqqs7vO7A/HoTdcbEyTdN+okUf2pU6HXviJMUHSzLnpfnjoAFArA7N5wF+V7YV9wLZToQ4OyxW7JQRk8sZ/QI/vgOoYcJ+Rwy+EamoFYlZAq1QCNlKBcw9UOAIEtkBrPzD2VfvsfcD++zG0dgC7b3o10pPTSIYUNrZHgSktnhv3fBm1wfPhGzh3hZx133GuaX1Y7XCJgIPDoyUDiv4FxgdZKAK8GQoDA0lZzTMZ4CqeBkeRU4FIRaSDmQoEaTVcg87eIQZLVBTcvkMSgTDtGLlEq0op1ryfghpYC5zxF9C5HHDj3wEDMaBUBf73A9D9p0M1rzS5N4fHBVXyAahtEQIGBoHB10C1ngZU1gOluwA1AuhBqGSXNccage5m/19haG0r0EIbcCakGnpNs/hhsGpVmFk5H6BrDRw3XCLg4PAoUPEe6IuvARbHgO+/BSoehE60mtlsHYhBRaJQrU8Hwr1WivigXGjVBqD2YN3pkKA1cQcTCAD7x4Hz/woq1gbNBIBPCwShmgfEzplThi+8FnrmAPDdd9YnExwcHi0JmL9ORlbX/5VIX4espbYvJslmtQTltyOCHjgWG2kyvBdM1Kdd1JZTgQceNBWw41HsdVh5cImAg8MvSQaoHIgLXgFM3QTfhkuXHtN6AxDbUn9y5HL5nw6F5glVIHwGMPM9ihNABcLQ1QrU0/4fVOcZsv1f9L5NfeZHv/Ra+d1VAxyORZVeHeIPYL4jwShQvg8cQEH4Uqt3MSoPBjNGmVPTXIvJKsmvmZxZ/S8DW1G062bGOj0FtXGFnHZXEThuuETAweFXoW2LSQQaoWJrH1WHQPkS0P2vl4t0+mbhAzDkd/RDccXW+uv3+10C4PALk4DM9yTYh7cBfpJSG5j+tSxQ9ayxhZhqHuW4KxUwEykjkQ3f8skBo6QZ8gHxELR/JVWiHEfgeOESAQeHXwHVeSY0Xg+dK0O10pUw8OjeCY0yyRwppLNh0zogej7Uwg/deXb4zYFJQGEKqDUE/PgTZWIge4tZ3XvQs/uAdppwHa6voGMdQDAGbKSkd9XwVFBIL1UJVPLXtBt3OCngEgEHh18zGXhMoMlR03Ok/M/bEUv2C6xALXeHEws01IpdChS+ufz+9I+l+hQi2VVBM2Fliyq3CNQSQNvvA/O3Af55KI4SNg1CZydkMqa4CF0t19tVdORcMaAN8fFUMBRWO1wi4ODw24LneGj+0lwC4PCbgyYZsOnJUPk76vcxkPuDQOhswB+HWvw+NNUw9+8F9v8jEI8C0TCQbAf6z4AmX8C0rrSIYwWC0EnRHVCtPSvo43LKgscLlwg4ODg4rCDo8iww+km53fJkYOq7QgLseAZQuBdY/CGQuAxIXgEEs4D6Yb2VXiwCobyIC1U55trALUi0QXXS76JipmNWDJzp0HHDJQIODg4OKxIaqA4DLeuBwGaozB2mFaDZ85+7EUoFodqeB/2UjwGZfcDCt+VlKgSdHhGSISsC9MYIxkXzwrQE8kDgF3NgHE4+uGlRBwcHhxUEFWwFWp8LtFwt/f1yEZj/qUkMluSrze0akP6BSFY39QG+kPTSg2FLJtRApEWEropZSQba14rOgC+ywjoD6jh+sOrhKgIODg4OKwg6Pw5sf79VuwzW7+/cANBCu2T7/vE2mQzI/hgqPwMd75RpluK8WG3rirwu1mwDom0H9L0YKtKJlQPHETheuETAwcHB4WQAe+XB+NICV5czsrq3KgPm/qYroKlIuHBL/XWsKlAI69BO466J0g+hL/l3EdRyWBVwiYCDg4PDCoKKdkOf9V75pTgDPPwBIQvmF0zfX5c8xUANrXqB0gEzFaBbnw5VfVgkiePnAdM/EM+MUAzsIiBHfw2LRkGiEx2OLHjccImAg4ODwwpMBgjNQJ7NApQGnhsXK+yyVbOMxwD/ESAYBBI9oj/AgE//gexdQLRZtsHpgVJakgKfpY35o1g5cK2B44VLBBwcHBxWKlgRUBqIJaD3HjRjf6q7bTkBjn2B9udD0SCLgb6yuKQyqLNZ6NDpUMM/kedd9A9AatC1BVYZXCLg4ODgsAKhs2PAzDAQi9tpARhLYQZ3VfMDKSto1fsiqHAbUDwCZH5ghIdQKUPn8sB99wH5n0E3BY39MBL9Ky8JcKZDxw2XCDg4ODisxCTg538ltwu0HFQAPYQoBhTWUJdcCs2xQD5SuAs6d5sZK1QRtgfKQCgufgVnbgMeeAi4+B1Ashsq2YuVB2c6dLxwiYCDg4PDSkMjmW82B2TLwGwZWJcAukTO2owIEroiUvz0H6gUhSyofFCVGrB7OxDxAaluqMRKTAIcfhNwgkIODg4OKw0NZL7iD6eh+1+A4dk87t27iOEjc6gd2QmdHofOTtdfQ52A/Cx0fl7GCpt7AFYIjsuw5wTAcYkJHa9h0ckBVxFwcHBwWGFgH7+2/m9ReNMroGdL2Ks6seWa+5Ye3/WhJ2PTmX3A+jNFaLCcBWiJTSXB+f3yJI4cbtgKdLxgZVcD3PjgccMlAg4ODg4rEL4N5yHy7+IfkJ2aXfZYmiODYXoJVMVDgBUAs/L1Az0vlydNfFmUCRMyirhy4cYHjxcuEXBwcHBYofD1rzX/J6aPLLs/tWkz0J4CSmwDhMVtMHQmVLAJ8CWMRbZe80qgOC3KgnWlYodVCJcIODg4OKxg6NI0hgZbsPsjT0K6XENy83oMrWujxrCtAogJEeZ/AMQ6ZAWdtIZFuz8k29j2dqhIF1Yk3PjgccMlAg4ODg4rOAnAwWvM2ODQc/8aWLwdqGaAwoIESPIAom1iNlTJQdfKUHQhJEpzODngxgePFy4RcHBwcFjJoHbA4gyQvh4IhesseH8QCESBiBUWKqaB8NlAZAA6OwIc+k8gFAIGX71yqwEOvxG48UEHBweHFQoVagd6X7H8To4J5PJQqW4g0gTMH5IfegmoGHT6MLDrGiCXkZYBVQdXMtz44HHDVQQcHBwcVjBUagv0Ge8DqgXo8QeA4S8ZzwG05YCgbQMQugKMXgtMHgV8nJ/3AW2/BxUmb2Alw7UGjheuIuDg4OCwwsHSvs4sAv/9z8ADR4DFWegH7wDSU0IOZJVgiTgIoKaBo5PAj/8ZenHkd737Dr9juETAwcHBYYVDl2eBo58/9l7RESBh0EMgDKx/BdD9AsB4FJwEcK2B44ZrDTg4ODisdNSKIg5ElGrA0TywbQ2Qz0qgXPciID4I5PPATW+S5/kBPPF9UKkVrCpIWB+F43r9KodLBBwcHBxWOnxhqFQC+oXPAkpFoDghsbHnWUByA1Rys3manr8doN1w1VYJwsnf7X47nBBwiYCDg4PDCocKtkKveQ1UNQ0UpoF9n6o3f2tF6MWdMjUw/B9ARwswNSfJQDCGlQ9HFjxeuETAwcHB4SRJBsCfyCD0ujIw8mVg/Lv1J3hVAF8AeMLbgUQ/VHKFtwUIpyx43HCJgIODg8PJhsQGwMcWQMN9HCk8/c1AqA0qttKNhhrhTIeOF25qwMHBweEkgwp1AAOvWn7n+tcC4fbjI9Y5nJRwFQEHBweHkxAquQV669uBalEcCKkdcP/bzGP6zPdARU8SWWEKI/HneF6/yuESAQcHB4eTFCrcuXRb5ydwcsK1Bo4XLhFwcHBwWAVgBYCVAO+2g4MHlwg4ODg4rBKclAmAaw0cN1wi4ODg4OCwguFaA8cLx5JwcHBwcHBYxXAVAQcHBweHlQsnKHTccImAg4ODg8PKheMIHDdca8DBwcHBwWEVw1UEHBwcHBxWMBxZ8HjhKgIODg4ODiufI3A8P78jLCwsoFKp4HcNlwg4ODg4OJwENsTH8/P4olAo4DnPeQ4GBgbQ1taGr3zlK/hdwiUCDg4ODg4OjyM+97nPoVwuY3Z2Frfddhte//rXI5vN4ncFlwg4ODg4OKxwisDxtAbwmKG1xi233GICOsv7j4bFxUXccMMN+PrXv47x8fFlj/30pz/Fy172Mvj9fpxyyinYtGkTduzYgd8VHFnQwcHBwWEF43jL+77H9Owvf/nLeOc734lAIICHHnoIF154IZqampY956677sLVV1+NtWvXmsde/vKX49Of/jRe9KIXmcfn5+fR3Ny89PyWlhbMzc3hdwVXEXBwcHBwcPg1wQTg+uuvN9WAX1Qt+KM/+iNcddVVJiG4+eab8Y53vAOvfOUrMTMzY57T3d2NI0eOLL3m8OHD6Onpwe8KriLg4ODg4LBisZjOHRfzf5Gvt6X8RoTDYfNzLF7wgheY/+++++5H3d59992HXbt24Qtf+MLSfa95zWvwtre9Dd/61rfwile8As9+9rPxlre8BWeddZZ5fiaTwWmnnYbfFVwi4ODg4OCw4hAKhczKur//Gce9rUQigf7+/mX3cRXPFsBjhdfr37Zt29J9qVTKTAh4jzER2LNnD1796lejo6MD1113HXy+312B3iUCDg4ODg4rDpFIBAcOHECpVDrubWmtoY6pKjxaNeDXAcmDTFKi0eiy+1tbW5cRC//mb/7G/JwIcImAg4ODg8OKTQb4cyIhGo2a5ITjgcFgcOn+dDr9iOTgRIEjCzo4ODg4OPwtyqkpAAABNklEQVSGsGHDBvP/oUOHlu6jeuDIyMjSYycaXCLg4ODg4ODwG8LFF19s2gCNaoHf+c53TEWAI4UnIlxrwMHBwcHB4dfE9u3bcc899+DgwYPm929+85tm9O+iiy7C5s2bDbfggx/8oBkXpF4AdQSuueYavOENbzDCQScilCZLwsHBwcHBweFXgqv7r33ta4+4n6JBT3rSk5Z+//nPf25UBYvFIq644go873nPw4kKlwg4ODg4ODisYjiOgIODg4ODwyqGSwQcHBwcHBxWMVwi4ODg4ODgsIrhEgEHBwcHB4dVDJcIODg4ODg4rGK4RMDBwcHBwWEVwyUCDg4ODg4OqxguEXBwcHBwcFjFcImAg4ODg4PDKoZLBBwcHBwcHFYxXCLg4ODg4OCwiuESAQcHBwcHB6xe/P/dFDyWvi1NogAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.scatter(xG, yG, marker=\"s\", s=0.75,c='k')\n",
    "fig\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
