{ "cells": [ { "cell_type": "markdown", "metadata": { "toc": "true" }, "source": [ "# Table of Contents\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Introduction aux *algorithmes de bandit* (UCB1, Thompson Sampling)\n", "Ce petit document est un [notebook Jupyter](https://www.jupyter.org), ayant pour but de présenter le concept de problèmes de bandit, comment les simuler et les résoudre, et deux algorithmes conçus dans ce but.\n", "\n", "Je ne vais pas donner beaucoup d'explications mathématiques, je conseille plutôt [ce petit article, datant de 2017, en français, écrit par Émilie Kaufmann](http://chercheurs.lille.inria.fr/ekaufman/Matapli_Kaufmann.pdf).\n", "\n", "Je préfère me focaliser sur une implémentation simple, claire et concise de chaque morceau nécessaire à la simulation de problèmes et d'algorithmes de bandit.\n", "J'utilise le [langage de programmation Python](https://www.python.org/).\n", "\n", "Dans ce but, j'utilise une approche *objet* : chaque morceau sera une classe, et des *instances* (des *objets*) seront utilisées pour toutes les composantes." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "code_folding": [] }, "outputs": [], "source": [ "# Dépendances\n", "import numpy as np\n", "import random as rd" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import matplotlib as mpl\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "sns.set(context=\"notebook\", style=\"whitegrid\", palette=\"hls\", font=\"sans-serif\", font_scale=1.4)\n", "from tqdm import tqdm_notebook as tqdm" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Lilian Besson (Naereen) \n", "\n", "CPython 3.6.3\n", "IPython 6.2.1\n", "\n", "scipy 1.0.0\n", "numpy 1.14.0\n", "matplotlib 2.1.1\n", "sympy 1.1.1\n", "seaborn 0.8.1\n", "\n", "compiler : GCC 7.2.0\n", "system : Linux\n", "release : 4.13.0-21-generic\n", "machine : x86_64\n", "processor : x86_64\n", "CPU cores : 4\n", "interpreter: 64bit\n", "Git hash :\n" ] } ], "source": [ "%load_ext watermark\n", "%watermark -v -m -a \"Lilian Besson (Naereen)\" -p scipy,numpy,matplotlib,sympy,seaborn -g" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "----\n", "## Problèmes de bandit\n", "\n", "Je ne rentrerai pas trop dans les détails ici. Pour plus d'explications, [cette page Wikipédia (en français)](https://fr.wikipedia.org/wiki/Bandit_manchot_(math%C3%A9matiques)) est très bien faite.\n", "\n", "> \"Dans le problème dit du bandit manchot, un utilisateur fait face à $K \\geq 2$ machines à sou. Chacune donnant une récompense moyenne que l'utilisateur ne connait pas à priori. A chacune de ces actions, il va donc sélectionner une machine permettant de maximiser son gain.\"\n", "\n", "### Problèmes stochastiques\n", "On se focalise ici sur des problèmes dits stochastiques : pour chaque bras, $k\\in\\{1,\\dots,K\\}$, une [distribution de probabilité](https://fr.wikipedia.org/wiki/Distribution_de_probabilit%C3%A9s) $\\nu_k$ est supposée générer les récompense à chaque sélection.\n", "Les récompenses $r_k(t)$ venant du $k$ième bras sont donc \"i.i.d.\" : indépendentes (les unes des autres) et identiquement distribuées, selon $\\nu_k$ :\n", "$$ \\forall t \\geq 1, \\;\\; r_k(t) \\sim \\nu_k. $$\n", "\n", "Un des exemples les plus simples sera de considérer des [lois de Bernoulli](https://fr.wikipedia.org/wiki/Loi_de_Bernoulli), avec des *récompenses binaires*, par exemple pour un traitement médical $r_k(t) = 0$ signifie que le traitement a échoué, et $r_k(t) = 1$ que le traitement a réussi à guérir telle maladie :\n", "$$ \\forall t \\geq 1, r_k(t) \\in \\{0,1\\}, \\;\\text{et}\\; r_k(t) \\sim \\mathrm{B}(\\mu_k). $$\n", "\n", "### Radio intelligente ?\n", "Dans le contexte de la [radio intelligente](http://orbi.ulg.be/bitstream/2268/16757/1/SCS09_Jouini_Wassim.pdf), le vocabulaire change un peu :\n", "\n", "- les bras sont des *canaux radio*,\n", "- les joueurs sont des *objets communiquants*,\n", "- et des *récompenses binaires* sont obtenues soit avant la communication (avec une écoute du spectre, \"sensing\", pour l'Accès Opportuniste au Spectre, \"OSA\"), soit après la communication (avec un \"acknowledgement\" reçu depuis une station de base),\n", "- ou bien des *récompenses réelles*, reflétant par exemple le SNR de la communication, le débit, la puissance reçue etc." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "----\n", "## Simulation de problèmes de bandit\n", "\n", "Une simple *fonction* suffira ici, pour initialiser un algorithme, le simuler durant $T$ étapes, et stocker les récompenses et les bras tirés.\n", "\n", "Il est important de tout stocker pour ensuite pouvoir afficher différentes statistiques sur l'expérience, permettant d'évaluer l'efficacité des différentes algorithmes.\n", "\n", "Je préfère donner directement cette fonction afin de fixer les *signatures* des différentes classes qu'on va écrire ensuite :\n", "\n", "- Les *bras* ont besoin d'une seule méthode, `tire()` qui donne $r_k(t) \\sim \\nu_k$ à l'instant $t$ pour la distribution $\\nu_k$ du $k^{\\text{ième}}$ bras, noté `r_k_t`.\n", "- Les *algorithmes* ont besoin de trois méthodes :\n", " + `commence()` pour initialiser l'algorithme, une fois,\n", " + `A_t = choix()` pour choisir un bras, à chaque instant $t$, noté $A(t) \\in \\{1,\\dots,K\\}$,\n", " + `recompense(A_t, r_k_t)` pour donner la récompense `r_k_t` tirée du bras `A_t`." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "def simulation(bras, algorithme, horizon):\n", " \"\"\" Simule l'algorithme donné sur ces bras, durant horizon étapes.\"\"\"\n", " choix, recompenses = np.zeros(horizon), np.zeros(horizon)\n", " # 1. Initialise l'algorithme\n", " algorithme.commence()\n", " # 2. Boucle en temps, pour t = 0 à horizon - 1\n", " for t in range(horizon):\n", " # 2.a. L'algorithme choisi son bras à essayer\n", " A_t = algorithme.choix()\n", " # 2.b. Le bras k donne une récompense\n", " r_k_t = bras[A_t].tire()\n", " # 2.c. La récompense est donnée à l'algorithme\n", " algorithme.recompense(A_t, r_k_t)\n", " # 2.d. On stocke les deux\n", " choix[t] = A_t\n", " recompenses[t] = r_k_t\n", " # 3. On termine en renvoyant ces deux vecteurs\n", " return recompenses, choix" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "----\n", "## Bras stochastiques, de Bernoulli\n", "\n", "Les récompenses de tels bras, notées $r_k(t)$ pour le bras $k$ à l'instant $t$, sont tirées de façons identiquement distribuées et indépendantes, selon une loi de Bernoulli :\n", "$$ \\forall t\\in\\mathbb{N}, \\forall k\\in\\{1,\\dots,K\\}, r_k(t) \\in \\{0,1\\}, \\;\\text{et}\\; r_k(t) \\sim \\mathrm{B}(\\mu_k). $$" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "class Bernoulli():\n", " \"\"\" Bras distribués selon une loi de Bernoulli.\"\"\"\n", "\n", " def __init__(self, probabilite):\n", " assert 0 <= probabilite <= 1, \"Erreur, probabilite doit être entre 0 et 1 pour un bras de Bernoulli.\"\n", " self.probabilite = probabilite\n", "\n", " def tire(self):\n", " \"\"\" Tire une récompense aléatoire.\"\"\"\n", " return float(rd.random() <= self.probabilite)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Par exemple, on peut considérer le problème à trois bras ($K = 3$), caractérisé par ces paramètres $\\boldsymbol{\\mu} = [\\mu_1,\\dots,\\mu_K] = [0.1, 0.5, 0.9]$ :" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "mus = [ 0.1, 0.5, 0.9 ]\n", "bras = [ Bernoulli(mu) for mu in mus ]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On peut prendre 10 échantillons de chaque bras, et vérifier leurs moyennes :" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],\n", " [1.0, 0.0, 0.0, 1.0, 0.0, 1.0, 1.0, 1.0, 0.0, 0.0],\n", " [0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]]" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rd.seed(10000) # pour être reproductible.\n", "T = 10\n", "exemples_echantillons = [ [ bras_k.tire() for _ in range(T) ] for bras_k in bras ]\n", "exemples_echantillons" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([0.1, 0.5, 0.9])" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "np.mean(exemples_echantillons, axis=1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> C'est assez proche de $\\boldsymbol{\\mu} = [\\mu_1,\\dots,\\mu_K] = [0.1, 0.5, 0.9]$..." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "----\n", "## Présentation des algorithmes de bandit\n", "Comme on l'a dit plus haut, les *algorithmes* ont besoin de trois méthodes :\n", "\n", "- `commence()` pour initialiser l'algorithme, une fois. Généralement, il s'agit de remettre à zero les vecteurs de mémoires internes de l'algorithme, et de mettre $t = 0$.\n", "- `A_t = choix()` pour choisir un bras, à chaque instant $t$, noté $A(t) \\in \\{1,\\dots,K\\}$. C'est la partie \"intelligente\" qui doit être conçue avec soin.\n", "- `recompense(A_t, r_k_t)` pour donner la récompense `r_k_t` tirée du bras `A_t`. Souvent, il suffit de mettre à jour les deux ou trois vecteurs internes.\n", "\n", "En fait, il faut aussi une méthode pour *créer* l'instance de la classe, i.e., une méthode `__init__(K)`, qui demande de simplement connaître $K$, le nombre de bras.\n", "\n", "> Bien-sûr, les algorithmes ne doivent pas connaître $\\boldsymbol{\\mu} = [\\mu_1,\\dots,\\mu_K]$ les paramètres du problème... Sinon l'apprentissage n'a aucun intérêt : il suffit de viser $k^* = \\arg\\max_k \\mu_k$...\n", "\n", "- Lisez [ce paragraphe sur la page Wikipédia précédemment citée](https://fr.wikipedia.org/wiki/Bandit_manchot_(math%C3%A9matiques)#R.C3.A9solution_du_probl.C3.A8me), il est assez instructif." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "----\n", "## Deux algorithmes naïfs\n", "On va commencer par donner deux exemples naïfs :\n", "\n", "1. Un algorithme \"stupide\" qui choisi un bras de façon complètement uniforme, $A^{1}(t) \\sim U(1,\\dots,K), \\forall t$, à chaque instant $t \\in \\mathbb{N}$, via la classe `ChoixUniforme`.\n", "\n", "2. Un algorithme moins stupide, mais assez naïf, qui utilise un *estimateur empirique* $\\widehat{\\mu_k}(t) = \\frac{X_k(t)}{N_k(t)}$ de la *moyenne* de chaque bras, et tire $A^{2}(t) \\in \\arg\\max_k \\widehat{\\mu_k}(t)$ à chaque instant $t \\in \\mathbb{N}$. Ici, $X_k(t) = \\sum_{\\tau=0}^{t} \\mathbb{1}(A(\\tau) = k) r_k(\\tau)$ compte les récompenses *accumulées* en tirant le bras $k$, sur les instants $t = 0,\\dots,\\tau$. Et $N_k(t) = \\sum_{\\tau=0}^{t} \\mathbb{1}(A(\\tau) = k)$ compte le nombre de sélections de ce bras $k$. Via la classe `MoyenneEmpirique`." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### `ChoixUniforme`\n", "\n", "C'est l'algorithme le plus naïf : à chaque instant, le bras choisi est tiré uniformément dans $\\{0,\\dots,K-1\\}$ (notation Python, on indice à partir de $0$)." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "class ChoixUniforme(object):\n", " \"\"\"Algorithme stupide, choix uniforme.\"\"\"\n", " \n", " def __init__(self, K):\n", " \"\"\"Crée l'instance de l'algorithme.\"\"\"\n", " self.K = K\n", " \n", " def commence(self):\n", " \"\"\"Initialise l'algorithme : rien à faire ici.\"\"\"\n", " pass\n", " \n", " def choix(self):\n", " \"\"\"Choix uniforme d'un indice A(t) ~ U(1...K).\"\"\"\n", " return rd.randint(0, self.K - 1)\n", " \n", " def recompense(self, k, r):\n", " \"\"\"Donne une récompense r tirée sur le bras k à l'algorithme : rien à faire ici.\"\"\"\n", " pass" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### `MoyenneEmpirique`\n", "Voilà qui donne une bonne idée de la structure que vont devoir suivre les différentes algorithmes.\n", "\n", "L'algorithme suivant est un peu plus complexe. Il est aussi appelé \"Follow the Leader\" (FTL)." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "class MoyenneEmpirique(object):\n", " \"\"\"Algorithme naïf, qui utilise la moyenne empirique.\"\"\"\n", " \n", " def __init__(self, K):\n", " \"\"\"Crée l'instance de l'algorithme.\"\"\"\n", " self.K = K\n", " # Il nous faut de la mémoire interne\n", " self.recompenses = np.zeros(K) # X_k(t) pour chaque k\n", " self.tirages = np.zeros(K) # N_k(t) pour chaque k\n", " self.t = 0 # Temps t interne\n", " \n", " def commence(self):\n", " \"\"\"Initialise l'algorithme : remet à zeros chaque X_k et N_k, et t = 0.\"\"\"\n", " self.recompenses.fill(0)\n", " self.tirages.fill(0)\n", " self.t = 0\n", " \n", " def choix(self):\n", " \"\"\"Si on a vu tous les bras, on prend celui de moyenne empirique la plus grande.\"\"\"\n", " # 1er cas : il y a encore des bras qu'on a jamais vu\n", " if np.min(self.tirages) == 0:\n", " k = np.min(np.where(self.tirages == 0)[0])\n", " # 2nd cas : tous les bras ont été essayé\n", " else:\n", " # Notez qu'on aurait pu ne stocker que ce vecteur moyennes_empiriques\n", " moyennes_empiriques = self.recompenses / self.tirages\n", " k = np.argmax(moyennes_empiriques)\n", " self.t += 1 # Inutile ici\n", " return k\n", " \n", " def recompense(self, k, r):\n", " \"\"\"Donne une récompense r tirée sur le bras k à l'algorithme : met à jour les deux vecteurs internes.\"\"\"\n", " self.recompenses[k] += r\n", " self.tirages[k] += 1" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "----\n", "## Approche fréquentiste, UCB1, \"Upper Confidence Bound\"\n", "\n", "Il s'agit d'une amélioration de l'algorithme précédent, où on utilise un autre *indice*.\n", "\n", "Au lieu d'utiliser la moyenne empirique $g_k(t) = \\widehat{\\mu_k}(t) = \\frac{X_k(t)}{N_k(t)}$ et $A(t) = \\arg\\max_k g_k(t)$, on utilise une borne supérieure d'un intervalle de confiance autour de cette moyenne :\n", "$$g'_k(t) = \\widehat{\\mu_k}(t) + \\sqrt{\\alpha \\frac{\\log t}{N_k(t)}}.$$\n", "Et cet *indice* est toujours utilisé pour décider le bras à essayer à chaque instant :\n", "$$A^{\\mathrm{UCB}1}(t) = \\arg\\max_k g'_k(t).$$\n", "\n", "Il faut une constante $\\alpha \\geq 0$, qu'on choisira $\\alpha \\geq \\frac12$ pour avoir des performances raisonnables. $\\alpha$ contrôle le compromis entre *exploitation* et *exploration*, et ne doit pas être trop grand. $\\alpha = 1$ est un bon choix par défaut.\n", "\n", "> On va gagner du temps en *héritant* de la classe `MoyenneEmpirique` précédente. Ça permet de ne pas réécrire les méthodes qui sont déjà bien écrites." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "class UCB1(MoyenneEmpirique):\n", " \"\"\"Algorithme UCB1.\"\"\"\n", " \n", " def __init__(self, K, alpha=1):\n", " \"\"\"Crée l'instance de l'algorithme. Par défaut, alpha=1.\"\"\"\n", " super(UCB1, self).__init__(K) # On laisse la classe mère faire le travaille\n", " assert alpha >= 0, \"Erreur : alpha doit etre >= 0.\"\n", " self.alpha = alpha\n", " \n", " def choix(self):\n", " \"\"\"Si on a vu tous les bras, on prend celui d'indice moyenne empirique + UCB le plus grand.\"\"\"\n", " self.t += 1 # Nécessaire ici\n", " # 1er cas : il y a encore des bras qu'on a jamais vu\n", " if np.min(self.tirages) == 0:\n", " k = np.min(np.where(self.tirages == 0)[0])\n", " # 2nd cas : tous les bras ont été essayé\n", " else:\n", " moyennes_empiriques = self.recompenses / self.tirages\n", " ucb = np.sqrt(self.alpha * np.log(self.t) / self.tirages)\n", " indices = moyennes_empiriques + ucb\n", " k = np.argmax(indices)\n", " return k" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "----\n", "## Variantes d'UCB : UCB-V et UCB-H\n", "On peut rapidement implémenter deux variantes d'UCB, UCB-V qui utilise les carrés des récompenses pour estimer la variance de chaque bras et calculer un meilleur intervalle de confiance, et UCB-H qui utilise la connaissance de l'horizon $T$ de l'expérience pour utiliser $\\sqrt{\\log(T) / N_k(t)}$ à la place de $\\sqrt{\\log(t) / N_k(t)}$ et obtenir de meilleures performances." ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [], "source": [ "class UCBV(MoyenneEmpirique):\n", " \"\"\"Algorithme UCBV.\"\"\"\n", " \n", " def __init__(self, K, alpha=1):\n", " \"\"\"Crée l'instance de l'algorithme. Par défaut, alpha=1.\"\"\"\n", " super(UCBV, self).__init__(K) # On laisse la classe mère faire le travaille\n", " assert alpha >= 0, \"Erreur : alpha doit etre >= 0.\"\n", " self.alpha = alpha\n", " self.recompensesCarrees = np.zeros(K) # somme des r_k(t)^2 pour chaque k\n", " \n", " def recompense(self, k, r):\n", " \"\"\"Donne une récompense r tirée sur le bras k à l'algorithme : met à jour les deux vecteurs internes.\"\"\"\n", " self.recompenses[k] += r\n", " self.recompensesCarrees[k] += r ** 2\n", " self.tirages[k] += 1\n", "\n", " def choix(self):\n", " \"\"\"Si on a vu tous les bras, on prend celui d'indice moyenne empirique + UCB le plus grand.\"\"\"\n", " self.t += 1 # Nécessaire ici\n", " # 1er cas : il y a encore des bras qu'on a jamais vu\n", " if np.min(self.tirages) == 0:\n", " k = np.min(np.where(self.tirages == 0)[0])\n", " # 2nd cas : tous les bras ont été essayé\n", " else:\n", " moyennes_empiriques = self.recompenses / self.tirages\n", " variance = (self.recompensesCarrees / self.tirages) - moyennes_empiriques ** 2 # Estimee de la variance\n", "\n", " ucb = np.sqrt(self.alpha * np.log(self.t) * variance / self.tirages) + 3.0 * np.log(self.t) / self.tirages\n", " \n", " indices = moyennes_empiriques + ucb\n", " k = np.argmax(indices)\n", " return k" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Et pour UCBH :" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "class UCBH(MoyenneEmpirique):\n", " \"\"\"Algorithme UCBH.\"\"\"\n", " \n", " def __init__(self, K, horizon, alpha=1):\n", " \"\"\"Crée l'instance de l'algorithme. Par défaut, alpha=1.\"\"\"\n", " super(UCBH, self).__init__(K) # On laisse la classe mère faire le travaille\n", " self.horizon = int(horizon)\n", " assert alpha >= 0, \"Erreur : alpha doit etre >= 0.\"\n", " self.alpha = alpha\n", " \n", " def choix(self):\n", " \"\"\"Si on a vu tous les bras, on prend celui d'indice moyenne empirique + UCB le plus grand.\"\"\"\n", " self.t += 1 # Nécessaire ici\n", " # 1er cas : il y a encore des bras qu'on a jamais vu\n", " if np.min(self.tirages) == 0:\n", " k = np.min(np.where(self.tirages == 0)[0])\n", " # 2nd cas : tous les bras ont été essayé\n", " else:\n", " moyennes_empiriques = self.recompenses / self.tirages\n", " ucb = np.sqrt(self.alpha * np.log(self.horizon) / self.tirages)\n", " indices = moyennes_empiriques + ucb\n", " k = np.argmax(indices)\n", " return k" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "----\n", "## Approche fréquentiste optimale, KL-UCB, \"Kullback-Leibler UCB\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### KL binaire\n", "Pour $x,y\\in\\{0,1\\}$, $x,y\\neq 0,1$, $\\mathrm{kl}(x,y)$, on définit [la divergence de Kullback-Leibler binaire](https://en.wikipedia.org/wiki/Bernoulli_distribution#Kullback.E2.80.93Leibler_divergence) de $x$ et $y$ comme la KL de deux lois de Bernoulli de moyennes $x$ et $y$, ce qui est défini comme :\n", "$$\\mathrm{kl}(x,y) := x \\log\\left(\\frac{x}{y}\\right) + (1-x)\\log\\left(\\frac{1-x}{1-y}\\right).$$\n", "\n", "Pour vous facilier la tâche, la fonction $\\mathrm{kl}$ est déjà implémentée, ainsi qu'une fonction pour résoudre (de façon approchée) le probl_me d'optimisation contrainte qui définit l'indice $g_k''(t)$." ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "code_folding": [ 0 ] }, "outputs": [], "source": [ "# Just forcing the ?? in Jupyter to be in the main document (to be saved) and not a floating window.\n", "# Thanks to https://nbviewer.jupyter.org/gist/minrk/7715212\n", "from __future__ import print_function\n", "from IPython.core import page\n", "def myprint(s):\n", " try:\n", " print(s['text/plain'])\n", " except (KeyError, TypeError):\n", " print(s)\n", "page.page = myprint" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[0;31mSignature:\u001b[0m \u001b[0mklBern\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mDocstring:\u001b[0m\n", "Kullback-Leibler divergence for Bernoulli distributions. https://en.wikipedia.org/wiki/Bernoulli_distribution#Kullback.E2.80.93Leibler_divergence\n", "\n", ">>> klBern(0.5, 0.5)\n", "0.0\n", ">>> klBern(0.1, 0.9) # doctest: +ELLIPSIS\n", "1.757779...\n", ">>> klBern(0.9, 0.1) # And this KL is symetric # doctest: +ELLIPSIS\n", "1.757779...\n", ">>> klBern(0.4, 0.5) # doctest: +ELLIPSIS\n", "0.020135...\n", ">>> klBern(0.01, 0.99) # doctest: +ELLIPSIS\n", "4.503217...\n", "\n", "- Special values:\n", "\n", ">>> klBern(0, 1) # Should be +inf, but 0 --> eps, 1 --> 1 - eps # doctest: +ELLIPSIS\n", "34.539575...\n", "\u001b[0;31mFile:\u001b[0m ~/Bureau/Python_code_TP_Odalric/kullback.py\n", "\u001b[0;31mType:\u001b[0m function\n", "\n" ] } ], "source": [ "from kullback import klBern\n", "klBern?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### KLUCB\n", "> ([Garivier & Cappé - COLT, 2011](https://arxiv.org/pdf/1102.2490.pdf))\n", "\n", "Il s'agit d'une autre amélioration de l'algorithme précédent, où on utilise un autre *indice*.\n", "\n", "Au lieu d'utiliser une borne supérieure d'un intervalle de confiance autour de cette moyenne, on utilise la [pseudo-distance de Kullback-Leibler](https://fr.wikipedia.org/wiki/Divergence_de_Kullback-Leibler) afin d'obtenir l'intervale de confiance optimal :\n", "$$g''_k(t) = \\sup\\limits_{q \\in [0,1]} \\left\\{ q : \\mathrm{kl}(\\hat{\\mu}_k(t), q) \\leq \\frac{f(t)}{N_k(t)} \\right\\}.$$\n", "Et cet *indice* est toujours utilisé pour décider le bras à essayer à chaque instant :\n", "$$A^{\\mathrm{KLUCB}}(t) = \\arg\\max_k g''_k(t).$$\n", "\n", "On utilise $$f(t) := \\log(t) + c\\log\\log(t).$$\n", "Il faut une constante $c \\geq 0$, qu'on doit choisir $c > 0$ pour simplifier les preuves théoriques. En pratique, $c = 0$ est un bon choix par défaut." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[0;31mSignature:\u001b[0m \u001b[0mklucb\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0md\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mupperbound\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlowerbound\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0minf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprecision\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1e-06\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mDocstring:\u001b[0m\n", "The generic KL-UCB index computation.\n", "\n", "- x: value of the cum reward,\n", "- d: upper bound on the divergence,\n", "- kl: the KL divergence to be used (klBern, klGauss, etc),\n", "- upperbound, lowerbound=float('-inf'): the known bound of the values x,\n", "- precision=1e-6: the threshold from where to stop the research,\n", "\n", "\n", ".. note:: It uses a bisection search.\n", "\u001b[0;31mFile:\u001b[0m ~/Bureau/Python_code_TP_Odalric/kullback.py\n", "\u001b[0;31mType:\u001b[0m function\n", "\n" ] } ], "source": [ "from kullback import klucb\n", "klucb?\n", "# do klucb?? to see the code" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[0;31mSignature:\u001b[0m \u001b[0mklucbBern\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0md\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprecision\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1e-06\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mDocstring:\u001b[0m\n", "KL-UCB index computation for Bernoulli distributions, using :func:`klucb`.\n", "\n", "- Influence of x:\n", "\n", ">>> klucbBern(0.1, 0.2) # doctest: +ELLIPSIS\n", "0.378391...\n", ">>> klucbBern(0.5, 0.2) # doctest: +ELLIPSIS\n", "0.787088...\n", ">>> klucbBern(0.9, 0.2) # doctest: +ELLIPSIS\n", "0.994489...\n", "\n", "- Influence of d:\n", "\n", ">>> klucbBern(0.1, 0.4) # doctest: +ELLIPSIS\n", "0.519475...\n", ">>> klucbBern(0.1, 0.9) # doctest: +ELLIPSIS\n", "0.734714...\n", "\n", ">>> klucbBern(0.5, 0.4) # doctest: +ELLIPSIS\n", "0.871035...\n", ">>> klucbBern(0.5, 0.9) # doctest: +ELLIPSIS\n", "0.956809...\n", "\n", ">>> klucbBern(0.9, 0.4) # doctest: +ELLIPSIS\n", "0.999285...\n", ">>> klucbBern(0.9, 0.9) # doctest: +ELLIPSIS\n", "0.999995...\n", "\u001b[0;31mFile:\u001b[0m ~/Bureau/Python_code_TP_Odalric/kullback.py\n", "\u001b[0;31mType:\u001b[0m function\n", "\n" ] } ], "source": [ "from kullback import klucbBern\n", "klucbBern?\n", "# do klucbBern?? to see the code" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "C'est assez facile avec tout ça :" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "def f(t, c=0):\n", " return np.log(t) + c * np.log(np.maximum(0, np.log(t)))\n", "\n", "class KLUCB(MoyenneEmpirique):\n", " \"\"\"Algorithme KLUCB.\"\"\"\n", " \n", " def __init__(self, K, c=0, tolerance=1e-4):\n", " \"\"\"Crée l'instance de l'algorithme. Par défaut, c=0.\"\"\"\n", " super(KLUCB, self).__init__(K) # On laisse la classe mère faire le travaille\n", " assert c >= 0, \"Erreur : c doit etre >= 0.\"\n", " self.c = c\n", " self.tolerance = tolerance\n", " # Version vectorisée\n", " self.klucb = np.vectorize(klucbBern)\n", " \n", " def choix(self):\n", " \"\"\"Si on a vu tous les bras, on prend celui d'indice KLUCB le plus grand.\"\"\"\n", " self.t += 1 # Nécessaire ici\n", " # 1er cas : il y a encore des bras qu'on a jamais vu\n", " if np.min(self.tirages) == 0:\n", " k = np.min(np.where(self.tirages == 0)[0])\n", " # 2nd cas : tous les bras ont été essayé\n", " else:\n", " indices = self.klucb(self.recompenses / self.tirages, f(self.t, self.c) / self.tirages, self.tolerance)\n", " k = np.argmax(indices)\n", " return k" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "----\n", "## Approche bayésienne, Thompson Sampling\n", "\n", "[Ce petit article](http://chercheurs.lille.inria.fr/ekaufman/Matapli_Kaufmann.pdf) explique très bien l'approche bayésienne.\n", "\n", "On a besoin de savoir manipuler des posteriors, qui seront les posteriors conjugués des distributions des bras.\n", "\n", "Pour des bras de Bernoulli, le posterior conjugué associé est une loi Beta, notée $\\mathrm{Beta}(\\alpha,\\beta)$ pour deux paramètres $\\alpha,\\beta > 0$.\n", "\n", "- Les posteriors sont initialisés à $\\mathrm{Beta}(1, 1) = U([0,1])$, c'est-à-dire qu'on met un a priori uniforme sur les $\\mu_k$, comme on ne connaît que $\\mu_k \\in [0,1]$.\n", "- Comme les *observations* sont binaires, $r_k(t) \\in \\{0,1\\}$, les paramètres $\\alpha$,$\\beta$ restent entiers." ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "from numpy.random import beta\n", "\n", "class Beta():\n", " \"\"\"Posteriors d'expériences de Bernoulli.\"\"\"\n", "\n", " def __init__(self):\n", " self.N = [1, 1]\n", "\n", " def reinitialise(self):\n", " self.N = [1, 1]\n", "\n", " def echantillon(self):\n", " \"\"\"Un échantillon aléatoire de ce posterior Beta.\"\"\"\n", " return beta(self.N[1], self.N[0])\n", "\n", " def observe(self, obs):\n", " \"\"\"Ajoute une nouvelle observation. Si 'obs'=1, augmente alpha, sinon si 'obs'=0, augmente beta.\"\"\"\n", " self.N[int(obs)] += 1" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Dès qu'on sait manipuler ces postériors Beta, on peut implémenter rapidement le dernier algorithme, Thompson Sampling.\n", "\n", "Les paramètres du posterior sur $\\mu_k$, i.e., $\\alpha_k(t)$,$\\beta_k(t)$ seront mis à jour à chaque étape pour compter le nombre d'observations réussies et échouées :\n", "$$ \\alpha_k(t) = 1 + X_k(t) \\\\ \\beta_k(t) = 1 + N_k(t) - X_k(t).$$\n", "\n", "La moyenne empirique estimant $\\mu_k$ sera, à l'instant $t$,\n", "$$ \\widetilde{\\mu_k}(t) = \\frac{\\alpha_k(t)}{\\alpha_k(t) + \\beta_k(t)} = \\frac{1 + X_k(t)}{2 + N_k(t)} \\simeq \\frac{X_k(t)}{N_k(t)}.$$\n", "\n", "La différence avec UCB1 est que la prise de décision de Thompson Sampling se fait sur un indice, tiré aléatoirement selon les posteriors.\n", "C'est une *politique d'indice randomisée*.\n", "\n", "D'un point de vue bayésien, un *modèle* est tiré selon les posteriors, puis on joue selon le meilleur modèle :\n", "$$ g'''_k(t) \\sim \\mathrm{Beta}(\\alpha_k(t), \\beta_k(t)) \\\\ A^{\\mathrm{TS}}(t) = \\arg\\max_k g'''_k(t). $$" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "class ThompsonSampling(MoyenneEmpirique):\n", " \"\"\"Algorithme Thompson Sampling.\"\"\"\n", " \n", " def __init__(self, K, posterior=Beta):\n", " \"\"\"Crée l'instance de l'algorithme. Par défaut, alpha=1.\"\"\"\n", " self.K = K\n", " # On créé K posteriors\n", " self.posteriors = [posterior() for k in range(K)]\n", " \n", " def commence(self):\n", " \"\"\"Réinitialise les K posteriors.\"\"\"\n", " for posterior in self.posteriors:\n", " posterior.reinitialise()\n", " \n", " def choix(self):\n", " \"\"\"On tire K modèles depuis les posteriors, et on joue dans le meilleur.\"\"\"\n", " moyennes_estimees = [posterior.echantillon() for posterior in self.posteriors]\n", " k = np.argmax(moyennes_estimees)\n", " return k\n", "\n", " def recompense(self, k, r):\n", " \"\"\"Observe cette récompense r sur le bras k en mettant à jour le kième posterior.\"\"\"\n", " self.posteriors[k].observe(r)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "----\n", "## Exemples de simulations\n", "\n", "On va comparer, sur deux problèmes, les 4 algorithmes définis plus haut.\n", "\n", "Les problèmes sont caractérisés par les moyennes des bras de Bernoulli, $\\boldsymbol{\\mu} = [\\mu_1,\\dots,\\mu_K]$, et on les suppose ordonnées par ordre décroissant : $\\mu_1 > \\mu_2 \\ge \\dots \\ge \\mu_K$.\n", "\n", "On affichera plusieurs choses, dans des graphiques au cours du temps $t = 0, \\dots, T$ pour un horizon $T = 1000$ ou $T = 5000$ étapes :\n", "\n", "1. leurs *taux de sélection* du meilleur bras $k^*$, (qui sera toujours $\\mu_1$ le premier bras), i.e., $N_k(t) / t$ en $\\%$, pour chaque algorithme,\n", "2. leurs *récompenses accumulées*, i.e., $R(t) = \\sum_{\\tau=0}^{t} \\sum_{k=1}^{K} X_k(\\tau) \\mathbb{1}(A(t) = k)$, pour chaque algorithme,\n", "3. les *récompenses moyennes*, i.e., $R(t) / t$, qui devrait converger vers $\\mu^* = \\mu_{k^*} = \\mu_1$,\n", "4. et enfin leurs *regret*. Cette notion est moins triviale, mais pour notre problème simple il se définit comme la perte, en récompenses accumulées, entre la meilleure stratégie (toujours sélectionner le meilleur bras $k^* = 1$) et la performance de l'algorithme :\n", " $$ \\mathcal{R}(t) = \\mu^* t - R(t) $$\n", " On souhaite maximiser $R(t)$, donc minimiser $\\mathcal{R}(t)$.\n", " Les algorithmes \"efficaces\" ont typiquement un regret *logarithmique*, i.e., $\\mathcal{R}(T) = \\mathcal{O}(\\log T)$ *asymptotiquement*, ce qu'on souhaiterait vérifier." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Fonctions pour l'affichage\n", "\n", "On définit 4 fonctions d'affichage pour ces quantités." ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "mpl.rcParams['figure.figsize'] = (15, 8)" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "def affiche_selections(choix, noms, kstar=0):\n", " plt.figure()\n", " for i, c in enumerate(choix):\n", " selection_kstar = 1.0 * (c == kstar)\n", " selection_moyenne = np.cumsum(selection_kstar) / np.cumsum(np.ones_like(c))\n", " plt.plot(selection_moyenne, label=noms[i])\n", " plt.legend()\n", " plt.xlabel(\"Temps discret, $t = 1, ..., T = {}$\".format(len(choix[0])))\n", " plt.ylabel(\"Taux de sélection\")\n", " plt.title(\"Sélection du meilleur bras #{} pour différents algorithmes\".format(1 + kstar))\n", " plt.show()" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "def affiche_recompenses(recompenses, noms):\n", " plt.figure()\n", " for i, r in enumerate(recompenses):\n", " recompense_accumulee = np.cumsum(r)\n", " plt.plot(recompense_accumulee, label=noms[i])\n", " plt.legend()\n", " plt.xlabel(\"Temps discret, $t = 1, ..., T = {}$\".format(len(recompenses[0])))\n", " plt.ylabel(\"Récompenses accumulées\")\n", " plt.title(\"Récompenses accumulées pour différents algorithmes\")\n", " plt.show()" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [], "source": [ "def affiche_recompenses_moyennes(recompenses, noms):\n", " plt.figure()\n", " for i, r in enumerate(recompenses):\n", " recompense_moyenne = np.cumsum(r) / np.cumsum(np.ones_like(r))\n", " plt.plot(recompense_moyenne, label=noms[i])\n", " plt.legend()\n", " plt.xlabel(\"Temps discret, $t = 1, ..., T = {}$\".format(len(recompenses[0])))\n", " plt.ylabel(r\"Récompenses moyennes $\\in [0, 1]$\")\n", " plt.title(\"Récompenses moyennes pour différents algorithmes\")\n", " plt.show()" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [], "source": [ "def affiche_regret(recompenses, noms, mustar=1):\n", " plt.figure()\n", " for i, r in enumerate(recompenses):\n", " recompense_accumulee = np.cumsum(r)\n", " regret = mustar * np.cumsum(np.ones_like(r)) - recompense_accumulee\n", " plt.plot(regret, label=noms[i])\n", " plt.legend()\n", " plt.xlabel(\"Temps discret, $t = 1, ..., T = {}$\".format(len(recompenses[0])))\n", " plt.ylabel(\"Regret\")\n", " plt.title(\"Regret accumulé pour différents algorithmes\")\n", " plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Pour afficher un histogramme, c'est moins évident, mais voici :" ] }, { "cell_type": "code", "execution_count": 93, "metadata": {}, "outputs": [], "source": [ "def nrows_ncols(N):\n", " \"\"\"(nrows, ncols) pour créer un subplots de N figures avec les bonnes dimensions.\"\"\"\n", " nrows = int(np.ceil(np.sqrt(N)))\n", " ncols = N // nrows\n", " while N > nrows * ncols:\n", " ncols += 1\n", " nrows, ncols = max(nrows, ncols), min(nrows, ncols)\n", " return nrows, ncols" ] }, { "cell_type": "code", "execution_count": 94, "metadata": {}, "outputs": [], "source": [ "def affiche_hist_regret(recompenses, noms, horizon, mustar=1):\n", " nrows, ncols = nrows_ncols(len(noms))\n", " fig, axes = plt.subplots(nrows, ncols, sharex=False, sharey=False)\n", " fig.suptitle(\"Histogramme du regret à $t = T = {}$ pour différents algorithmes\".format(len(choix[0])))\n", "\n", " # XXX See https://stackoverflow.com/a/36542971/\n", " ax0 = fig.add_subplot(111, frame_on=False) # add a big axes, hide frame\n", " ax0.grid(False) # hide grid\n", " ax0.tick_params(labelcolor='none', top='off', bottom='off', left='off', right='off') # hide tick and tick label of the big axes\n", " # Add only once the ylabel, xlabel, in the middle\n", " ax0.set_ylabel(\"Distribution\")\n", " ax0.set_xlabel(\"Regret\")\n", "\n", " for i, r in enumerate(recompenses):\n", " x, y = i % nrows, i // nrows\n", " ax = axes[x, y] if ncols > 1 else axes[x]\n", " regret = mustar * horizon - r\n", " ax.hist(regret, normed=True, bins=25)\n", " ax.set_title(noms[i])\n", " plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Premier problème, à 3 bras\n", "On reprend le problème donné plus haut :" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [], "source": [ "horizon = 1000\n", "mus = [0.9, 0.5, 0.1]\n", "bras = [ Bernoulli(mu) for mu in mus ]\n", "K = len(mus)\n", "kstar = np.argmax(mus) # = 0" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(1000,\n", " [0.9, 0.5, 0.1],\n", " [<__main__.Bernoulli at 0x7f1814c6ba90>,\n", " <__main__.Bernoulli at 0x7f1814c6b320>,\n", " <__main__.Bernoulli at 0x7f1814c6b1d0>],\n", " 3,\n", " 0)" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "horizon, mus, bras, K, kstar" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[<__main__.ChoixUniforme at 0x7f1814bfa390>,\n", " <__main__.MoyenneEmpirique at 0x7f1814bfa3c8>,\n", " <__main__.UCB1 at 0x7f1814bfa400>,\n", " <__main__.UCBV at 0x7f1814bfa438>,\n", " <__main__.UCBH at 0x7f1814bfa470>,\n", " <__main__.KLUCB at 0x7f1814bfa4a8>,\n", " <__main__.ThompsonSampling at 0x7f1814bfa518>]" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "algorithmes = [ChoixUniforme(K), MoyenneEmpirique(K),\n", " UCB1(K, alpha=1), UCBV(K, alpha=1), UCBH(K, horizon, alpha=1),\n", " KLUCB(K), ThompsonSampling(K)]\n", "algorithmes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Pour les légendes, on a besoin des noms des algorithmes :" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [], "source": [ "noms = [\"ChoixUniforme\", \"MoyenneEmpirique\",\n", " \"UCB1(alpha=1)\", \"UCBV(alpha=1)\", \"UCBH(alpha=1)\",\n", " \"KLUCB\", \"ThompsonSampling\"]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On peut commencer la simulation, pour chaque algorithme." ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "scrolled": true }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "758e9ab9365f45db932f7f874518f513", "version_major": 2, "version_minor": 0 }, "text/html": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=1, bar_style='info', description='Algorithmes', max=1), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "CPU times: user 335 ms, sys: 0 ns, total: 335 ms\n", "Wall time: 335 ms\n" ] } ], "source": [ "%%time\n", "N = len(algorithmes)\n", "recompenses, choix = np.zeros((N, horizon)), np.zeros((N, horizon))\n", "\n", "for i, alg in tqdm(enumerate(algorithmes), desc=\"Algorithmes\"):\n", " rec, ch = simulation(bras, alg, horizon)\n", " recompenses[i] = rec\n", " choix[i] = ch" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(array([[0., 0., 1., ..., 0., 0., 1.],\n", " [1., 1., 0., ..., 1., 1., 1.],\n", " [1., 0., 0., ..., 1., 1., 1.],\n", " ...,\n", " [1., 1., 0., ..., 1., 1., 1.],\n", " [1., 0., 0., ..., 1., 1., 1.],\n", " [0., 0., 0., ..., 1., 1., 1.]]), array([[2., 2., 1., ..., 1., 2., 0.],\n", " [0., 1., 2., ..., 0., 0., 0.],\n", " [0., 1., 2., ..., 0., 0., 0.],\n", " ...,\n", " [0., 1., 2., ..., 0., 0., 0.],\n", " [0., 1., 2., ..., 0., 0., 0.],\n", " [1., 0., 2., ..., 0., 0., 0.]]))" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "recompenses, choix" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On affiche et vérifie les résultats attendus :" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "image/png": 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/1BRudW5n8xuAk7zveJ53pRDiu8CzUTMx3oOa8v0H3tTv4Ptn1EOhfwZ+jppdEKFGfZdqdtd8/sZnelxP9n76dtSmMa0YBPA87xohxE9R5+ipqPWQbxVCXO4t8TssDYaFxIhBg2HlEm9lv0G78dPvQT2FbTbMtGycb7ot8mczZXQf8BQhRHfTdJ9zUH/ke2dR10za6WwaHWy1gcMQrad/bZ0nW6ZiEBgD3Dmcx5kSn8f9nufdPU3eIdTulM1sZX5GCM4SQthNoy7xOdk7g/Iv0HY8OzlVuWkKNQC6jZv1561CiNehpkE+j8SU3iaS6wXfgBqdideSXYMSfzfo8HyvF4SZHZ99qE2mnKbRwXOb8sWjLs3ncz6u633Aw6awdT7ZjZoi+d8nMT19Nr+BmTKlLXpq/ZXAlULtvPpb1IZHN09R7AWo6dF/nYwUQvSiNtxpx1HUZmBnt0hrjtuHEk/noKbIxm10oa7365kbcz0380l8nsdmcj/1PO8Iao3hVXqt5y9Ray+NGDScspg1gwbDMkcI8aQ2a5yeqd14mtOPUE+N3ynUO9ia65lqh8gZldUbb9wCXC6EOKMpT/JJbryua7qpm6A6GjbqKWySeBH/DcwPP9DtxDvcxVMA/7xF3t3AucljJtRurjPZefKk0J35a1Fr2ybtYjfNeZwp30Y9Uf9bMXmnwPg1BTG7gccmrwshxB+g1qzNB2tQrxSJ684Bf4raRfJ37QoliMVPcpv8M2naMVG03m32N9ptJXaBSesF1wI/1v67dbmvLuB6QZjZ8bkeNb34JYl8NmrkrEJ9k6R9qOP1+01tvH4e7PwB6vg8v4Wt8803dVuva04QQmSEEJ0zqGM2v4GZ0vK+p9f65ZJxeh3fUaa49jQhTaNkQogXU38I2BJ9H/kJ8IdaeMZlz0aNhiaJ77F/3RT/V6hR47mKwfj1EDP5H1godqKmxb6p1XUR30+FEI5I7OgMoJcuPMD058hgWNGYkUGDYfnzSaBDCPEd1BogG7W1+MtRa0auBPWieaG22f4qcJsQ4uuoDR22oHbeuws1DXQSsyz7BtTObDuFEFehRmW2oN5Jtl3nuVW7fy+E+Bpq84QbPc872qL561FrFd8n1Du1foN6p9YfAVd5jTuJngzfR71+4O+FegfWXah3W7Xa0OFLKDH6I71r4Brgz3SZ5o0NFoK3o97n9guhdhC9C9WhejhK5GRPpnLP8/YItUvjx4CtQojrUA8DzkBNkfomavt2UBuAPB/4oVA7EZ6Fmpo827WB7bgftXvsI1AC52Wo9WAvbbFGqxXfQ43sfU8I8T3U+wdfj1pz+vBEvvcItY38DaiRsl7UOZ1gBp1dvXbrEdR3b7wI1dlt+/5OfT2/XAdjAfbXQohxYJ+nd5qdhpkcn8+jdvP8os63B3VtX4Z6H91xqK0BuwZ4g1DvbtuNWn98smtQYxv+AvXaix2o6eYvQ4nR+eYrqGvyU3rq7/+gBJNAbS7zAqYebZvtb2Cm7EaNvr5On+Mx1PpqF7hRH/u7UMfkmag1rn8zTZ3fA/5ECDGq63o46uHATEblr0BNd/wfoXZOtlHn6C4Sr0vw1A7QXwRerQXRjaj/mFeh1s39YAZtTUJPzb4LeJEQ4j7U/9UDnuf9apqi84bneZEQ4tWo73G3EOJLqN/RBtRmaBZqs6BO4KAQ4tuopRijqId/T2fqXaoNhhWPGRk0GJY/8fv3nobagOCfUNPWvgo8yku8usHzvG+i/tj2o3Yd/SRqtOAeJr/fqYGZlvXUi44fi+owvFbneyGJdVSe592Kem/U+cC/ota/nd+mXYkSOJ9A/fFeierwvJPWo3ZzQnec/xB13F6Keg/aYeAVLfLeA/wJ6t1in9DlXk59JGlB0aL5MSgh9hxUZ+SNqO3t3zxPbXxc111FvSbhE6jzcDNq+mOc70e6zXNQ5+YilIB4kPlhD0r4X4Z6jUov6qXRM5qW5alXKbwVdX19Utf1RtQ7JZN8V7f1CtTx/GvU1vKP8zxv3wya2oF6WXX8TrWLgF9Ps6buDNTrC/6O+u6Ub9PhV8+gTZjB8fHUK2aeiNr84qWonXjXA6/xPK/59QVvQB2LP0MJ2/20+A3MFk+9JPwy1I63f4FaE/dz1LmZV/Rv+XmoDT/ORwm696HuS59mZiPKM/4NzMIuH3WfKKN2Kf46SrQeQN13Ho+673wM9dDi1Z7n/UPr2mr8FWrzkxeidve8AHWfnHLjGW3PTtQo4AnUJjSvRr0m6CfaxiSvRR2DR6B+5/H/zfNOYiouus29qGvy67QYzV1oPPXC+MeifruvR/3+X4U6Lh/R2Yqoc3Yh6tq9Engk6v/3jYtsssGwqFhSLocp3QaDwWAwGJIIIfYC93qe9/QlNsVwCqFHQS/wPG/7tJkNBsMpjxkZNBgMBoPBYDgFaV6rKITYjpqievOSGGQwGJYdZs2gwWAwGAwGw6nJHiHE1ajpxltR0zSrqCnHBoPBYMSgwWAwGAwGwynKD4EXo9YbV4BfAO/0PO/+JbXKYDAsG8yaQYPBYDAYDAaDwWA4DTmlRwZ37txplK7BYDAYDAaDwWA4rdmxY8ekd6rCKS4GAXbs2LHUJkxi586dy9Iuw6mDucYMC4m5vgwLibm+DAuNucYMC8lyvL527tzZNs3sJmowGAwGg8FgMBgMpyFGDBoMBoPBYDAYDAbDaYgRgwaDwWAwGAwGg8FwGmLEoMFgMBgMBoPBYDCchhgxaDAYDAaDwWAwGAynIUYMGgwGg8FgMBgMBsNpiBGDBoPBYDAYDAaDwXAaYsSgwWAwGAwGg8FgMJyGGDFoMBgMBoPBYDAYDKchRgwaDAaDwWAwGAwGw2mIEYMGg8FgMBgMBoPBcBpixKDBYDAYDAaDwWAwnIYYMWgwGAwGg8FgMBgMpyFGDBoMBoPBYDAYDAbDaYi72A0KIX4f+BtgB7ABeKXneVdPU+ZC4F+ARwMngKuAv/M8Ty6stQaDwWAwGAwGg8FwarIUI4MdwJ3AXwGl6TILIbqAHwMDwKN0ubcAb1pAGw0Gg8FgMBgMBoPhlGbRRwY9z/sB8AMAIcTVMyjyUiAPvMLzvBJwpxDiXOBNQohPrLTRQd/3OXR8lB1LbYjBYDAYDAaDwWA4rVkJawYvAn6qhWDMj1BTTLctiUUnwdc+/hvO+9JqbvrpHUttisFgMBgMBoPBYDiNWfSRwTmwDniwKW4gkfbAVIV37ty5EDbNGXtI6e8HvEG68svLNsOpxXK79g2nFub6WqnIFm6ruCbXmqrcFPXpctaM2tR5bfjNbTfMsM2pbAVrhm2qzO2+/0n4rZnkbbZzqvxJe2eQZ4o22+ZvW2/7OqyZ2m3NIM9c7G55nNuVAzcvuf2eb1O3v02bVnMdU9c7t/AM8rY8brOpey7lksemlS1zrXsejkfMpPOzUMdjiuPTdDxk1Am8akX9R64EMXhS7NixvCZk3nONujg6Ch3LzjbDqcPOnTvN9WWoIWUEREgkyAhJBFIql6ierl2Qbcqo8L333o0Q50xRJlG/LjM5r6z7dRuAtknq8nFnPa476WeKumTdj85bs6OxrhmVbwhPU14m4hPlk98laUv78jTWI+txjXW1iFMnfXLclJ0ug2EekYC09CVnzdCvy7TzS9XrthL+WZWfUxtWQ/yU5SfltUDaOp/dol4Au739Os0iEV/zM7ldHbYa4pvr1PFYie9KQ7i1myyfjEsclynqsJrjp6q/1bltZZf2W815G8q0+z7NbTWVbXBb1d++HrsvpPo0lx2PXl59sKnE6UoQg0eAtU1xaxNpK4v4KYaUU+czGAxzQkqJJETKAGSAlGEtLBvCIdT8EWhXEurOeuxGtTJ1UVTPK2VIXeiEOm9Uq6Nl/KQ8cR11t9ZOS0HVXnjV47S7AAIg3QEPHJz3alc4FmCrLohlo7pkKk49Oo7DFlh23Y+FZVn18lYyTL1OrFo9urtX89frp6EcFol2dBxMqp+49AzrV3rVUR3PyK53eCNH5Yhs1TmKbIhspARL2vWOcmSrv8JIHSep81sRIC1OnBimr6e/sYOe6ERb0kJGyfi4s6nCKi0RF+cF7ScRT62OuH4ZxZ12kHFapMvU9HX8XajFyYQtiWcCiTYT/mTdDZ96nbKhraZ8tWcUrerQt4JW6TTVzeSyk/K0yCvblTVdG8NKJ6G19Q29fhtsEU/Sa4GbSkE0uogGnzwrQQz+AviIECLreV5Zxz0FOATsXTKrThJpxKBhhSFlpMWUj5Q+Uc3fPi6q+atIGSTCfkKgaeHWEA6RBC3CoRJ4U+StjQStUCwcsBzt2ljYdRcLy7IBG9t2UEJBiY04n4qzEmXsWpmG+LhMU/nGMsl4qxZ/ZOAo69atn1z/FGVosMmqx9XsSgomu/bPG+ev29tCQLUpHwsh1TG2VUc8jDv3SgzIMBYXOi5ECYrQwpIgdX4ZKrFSy6ddGaLqCyUykqqTHknUswOp4mvpU+SrxQGRzlPr9Evdnq5DJvJKWSujREAibyxiav7GPLW8cZxsbKM2kJssvwg/rzxQnjbXaYq+vLEsdclrf/0nYCWeP1j1jmvcWbWt+KeoyyQ6tDa1jInnAvX6m/LEZVQnuKmtSfUmbE52pu26l0QZK1Gmbb3NcYl66+Vb1ztwdIC169ZNPjZT1gtWQx6rsXxzXO3718u0Oi/qa07+Dm0FSNLGRBStjk2r+GQ1LcpM2XbS5qnSmuNb2dRsz5xsamx7VjbVylM/3/PE4AqaIgpL857BDuBsHbSBLUKIhwMnPM/bL4T4e+DRnuddpvN8DXgvcLUQ4gPAOcDbgfettJ1Eof5w0jw9M5wMUkqkrBDJKlFURcoqkawiIxVnu7sZGdNxOk/dX6nlV2VifwUZ+TptstCThPP7JSIgdCFwlOu7WKFTDwcOVqDdMI0V5iFMQ+hiBSmsII0VulhhSuULXQgS5UIXAlvX5yh/mPgENoSW7uxb5P74KOnHFFFCxqEuaBwsSwuvWryDpdPqeWwgGa/yNsRbTiJP3E5cNs67uMhIIgP1QbsyVB9CEv563JF7PTqr25VICKUSRKEuG+l6IlUWHScDJSQiXT+RRAZoN1EuFkfJctqOWEjVysVxUjaJLeqCap4v2xWBhepk644/tu4cx0LBJiEKLHDAdu26yIjT47w1gWE11av9zeWsep7GuhL2WIn4Br/F4YHDrN+wvp5fd6CT4qf+LCDRSbQSdrXyWwk7reT30sctWVei7ZoAaCHCan4SdbVtO3EMmu2otZsIJ/zz3Vk93dm38xCrdqxbajOWNVLqIeBIzz7RLjKq+6M4vk2eSDbEt8wbJepL5onieup2SJkok7ANKev2JsvU2kqkabtracnvGJeJ7ZaRHvGeeVm3rx/OFEt9+mbFUowMPhK4KRF+n/78G3A5sB44K070PG9ECPEU4FPArcAQ8A/AJxbJ3gVBSnNTP52QMiKKyoTRBFFUJIxKRFGZSJaVG390OGxOq/krtfBUTxRSBTgw0Da5DTa2TGOFBSw/i13txvKzWEEG/AyWn1YCLEiDnwI/rcVaCst3oeoifQcrcJC+A74NVRvp21C1kL5Vc2WVBe2kTzoyFliuheVaoF3LtbByyvUPV6l8exPrLtmO0zF/t0UptajxJZEvkX7U5I+QflgTYw2CrOETTRZr05ZpER9Ojp/Lg6kO0hxm37wdp2mxwXIscCwsx0JpauXHtbBtSwkMh7pr6fS4bE24JPLZcf7FyaeeHSTiHF3GSZRtEG2NwqreBo2CyiIhyla+aNi780H6dzSvDjGcjihBESUEQtQYl3CTAmRSWiwkdJyzfy8TaVenhe3rbCqnXFlPa2i3VbmkiNC2yahRQNTqqAuRlsKrSSi1jI/9UVPZWDwlRVWUjI8m5anPBTbMBjuXg81nLLUZs2Ip3jN4M42Ds83pl7eIuwP4/YWzahHR39z8xlYekfQJwzHCcJwgHCOMxgjDIlE0QRgVCaOiEnphMSH64vgSJzMcbFtZbFt9XKcb285g21msIIdViT9ZKGexKhmGjozR17EWqimouFB1kBVHuxayYiPLaL9EliVRJUJW2ts4p+UgFlhpCyttY6dtrILyW2lLhV0LK6WFWcpO+FsNIvD3AAAgAElEQVSEk3naltFxybBrq074FB3koe8f4/hXj3D0qoPkLuhQIq2qBVNVCbjYH/lN8bVP1NK/ZCRFr/7YGXUOcLWoakonjnO0cHGtumiJRZhrcfjIYTZu2VgTQparRZGrRUytDl3Opt5mLb5Z4Ok2ncayNVFkMJxixEJAhno9cqiFSRjWhUUYIqMQwggZhTpPpOPCxjxRso6EyNH5VL06TUb1dpLxtbrj9trZ0iiC6kIopFmQTSua2oguooWbk9wBHF6w2hcYywJbT4XXLpZd99t6Gn4yj21jN+e1rUQddq1eS9fRWKeO1/VaDTbE/qb42Abbah2ftN9OtNVkUztbk/nr9Sb8ye8R50uGJ6XF9sXfUw3Jt847uWzst/MFhu68c6mvklmxEtYMnpoYNbjkRFGVIBwmCIbxw2GCcFiLvTGCcFyLvTEl/MIxPRo3c2w7h2MXSLmrcOw8jp3HdrRr53CsHFaQg1IOq5iFYgZZTEExhSw7UHKQJSXaoqIkKoZEpZCoGBEVQ4JiBEHr6ygLFFumxJIuAhvsnI2VsbE7HNxVKeXPOtgZCytrK/GQFG+ZhD8Zn7ZU2ZQWexkbO61FxwoYpeh5Rh+jNw0x8esxJn49NquyVspS399VwtQu2Fium4jXYjhV99fEarMgbh65TIg2FW9PEnCtytSmpy0Qe3c+SO+O1QtWv8EAiVGhMEAGWvyEgRYmKk6GYULMhMgg0Pl0XC1PUBMz9bp0fBQhg0CVScaHuu2G+IQdDSJKuQ0iLWohuKKoJrQWUuwsGVp4WLZT7+A3uLoT7bot0uy6qGiOq4mFKdJsuyY06mlWY36dfvjIETZs2tRUlzPDOu2aAJrK5mR7DaLBtlrH18RMizxJobQC/lMNKwsjBhcbvZuomSa6cEQyIAhO4AfHqPrHCMIhgmCYIBzBD4YIwhGCcJgoai2XklhWCsfpJJ1ah+N04jodOE4njq38tl3AcfI4dgH8HNZYFjmWQo65hGMh0Xio3AnlhuMBgfZH42GLkaMIqLS3J21h5x0l3lansfM2ds5Rbt7ByTtYOZsDAwc445wzsLO2EnVZLdCy9c9KEWqLgeXabHjnVsr3FhtHJWN/LOpSiRHNtB69MsfQsAKQseAJAggCLbCCmtCaFB/U0wnCNvGN4ZoQa4qrtVsTcAmBFYuwqC68unyfXStlmprjYDmOEhJOQgQ5SlzYmUyj2HDi9IRYchwsXZ6aq+tynHoeywanMb5ej5NIS9pRd+tpyXaclrY01FGrJ2lbGxG0Qti7cyd95vVLBgNgxOCiU99AZgX8yc2CqBwRjgak1qQXvi0Z4PsDVPwj+P4x/EB9qsExfP84QTjEVBMaHaeLlLsK1+km5fbiOt24set04TgdWux1YkUpgqGA4IRPOBQQjASEIwHhaEB1JCAcjuNCZGUcGJ/WfrtgYxcc0luyOB1K2NVdV6XnHeycjZN3lF+LPsudmfDYs3MfnTt6ZnhEDQCpVWlSlyz89Ws49ZFRhPSrSD9ABj7S15+gOeyrPLG/RTjyfUjUE7Woh6ToqgmsRrG2LP5zXFeJEke5sZCqCSYdP1Eu09HdVRc9tfx2U1lXiZMWdSq/m/DX4y3H1XW1y9OqrsnxtVEbg8FgWMEYMWiYNVJKgoEqpfuKlO8vUbm/SGV/GSLY+N4zyJ1XmIc2IvxgkEr1EBX/MFX/CNXqESUAg0Faiz2blNtHPnsuqVQ/aXeVEn1uLymnRwu+LixLXfYykATHffyBKsFxn+BEQOmET3DCJzgxTHD8GOFoMPVCORucbpfU+jROl4vb7eLEny4t8jpdnFjwFRy1DspgMCwoMoqQ1SqyWiXyq0qcVf16uFpVYqohrOKiamNYVqsqLmgn4oIG8beo0/8cByuVUkLFVR87k8FyCkp8uY6KT6Tj6PhkXFOeZBmawpbj1OMmldMCqyldjWzN7N63c+dOzjWjNgaDwbAoGDG42MT/hdEyeEo7C4Ihn9JdExTvHKd05wTBMb+WZqUsUmvS+EeqlHcVZy0Gg2CEcvUA5ep+KtUDlCv7qVQfJJKTp0u6Tjf57DmkU+tJp9aSTq0h5a4inVqF6/Q2bM0vpSQaC/EPVfGPVikdrRIcHcA/qsLBMb+t0LNSFm5/itSGPG5/Crcvhdvj4vQooed2uzhdLnaHYza3MBhmiNpdNSCqVpCVSsKtIitlokoFWakSVcvKrVSQ1UrNVcLN18JOibWomgxrIedXIVyg7WotS4uclBJhqZQSXx0d9TjX1e4MwyldX3M4larni8skw/G6K4PBYDAY5ogRg4tNvJto+w1VlwVSSqoPVpj431Embh2l8kB98xS7w6Hw6C5y5xXInpMjszVL9XCVA2/ZhX+4OmW9YVikVNlDqbKbUnkXxfJugvBEQx4Lh3R6I9n0ZjLpTWRS60in16l1e3Zusq2BxB+oMnFonOrBCv6hSs2NSq2f0Du9Ltlz8qTWpHFXpZTg60/h9rm4fSkl8sz0H8NpigxDonKJqFxGlsvKXykTlcrISpn0ffcxdPRwQqhViSrlRmFXrSITYi4WdPM6auY4WKk0djqtRFmhgNPTi51OYaXSWOm0Sk+llF+HrVRKlYnTdflamXQaW+erh1X6bEa4DAaDwWBY7hgxuOjIBme54R+tMnrLEOM/G8E/ooWdA7kLC+Qf2kHuIR1ktmYnjYal1qbBgurhxtE8PzjBROkuxot3USrfR8U/1JDuOj105n+PbGYLmfQWLQDX16ZyJpFSEpzwqewrU9lborqvTGV/GX+gOvmddY5Fen2a1Pq0EnxrlJtak8ZdncJOm6fphlMHGYZEpRJRqVgTcUrI1f1RuaREWqmshF2D2KvHyVJZTXWcghxwfDqjXBc7ncHKZLBzOZzuHjWClk5jZ7La1enpNm4yPSnSYvHmOPN1CA0Gg8FgOC0xYnCxsWpDg8sG6UeM/3KU0ZuHKN01AYCVsel4bBeFR3aRf0QnTmHqTpedtnH7U/hHKoyM/Zzx0p1MlO6m6h+p57FyFHIXkMucRS57NvnsWbhOX9un7MEJn/L9Rcq7SjXxF442qj47b5M9M0dqY4b0xgzpDRlSGzKk1qTN2jzDikAGAVGxSFgq1gVdsajcpL+o00olnbeeJivtd6CdFtvGzuaws1mczi7s1WtUOJPFzmaxstlaugrn2HfoEGedey5WJoOVVqLNTvitdMYINYPBYDAsOFJKQkJ86RPIkEAGhDKk1+3Bscz/0EwwYnCRiTXgctjYLRwPGPnJECM/PE44HACQPS9P1xN66XhsF3Z2Zj+iSvUwYxO/IejNwv1rObD/M5Dxsa0cnflHUMhdQCF3AdnM1oY1fUlkIKk8UKJ8X1EJwPtLBMcbRyfcNSkKokBmW5bM1izpbVnc/pSZsmVYcqTvE05MEBUnCCfGiSbGVbjmxvF1NypOKCHnTz0K1xLHwc7ncXJ53O4e7HxeCbbYzWWxMpNFXOyPxZ6VzaoRtln+hvydOyk8wmzwYTAYDKcqkYwIUeIqFln1T0hAQJAQYJPTgjZlg0R6Uxot8k5TZzhpaphijbua5/c9h0s6L8K27JponFxvSNgcl7AlTNqISg9b2B3qsr1uDxtZu8hn6+QwYnCRqfW5llAMRsWQoeuPMXzDcWQlwsrZ9Dyrn+6n9JFal5lRHVV/kJHxnzM89jMq1f0AuH1Px2Ut/cGL6D7rXHKZbVhtnsrISFLdV6Z45wSlu8Yp3VNEVupriZwuh8KOTrLn5MmcnSOzLTft6KTh9EZKiSyXCMdGCUZHCUdHiSbGyV/4cNyemb1mQ0aRGqUbGyUcHyMc1e7YKNH4uBJyxQnC8VjQjROOT6i1cDPFcXDyBex8Hre/HzuXV598HjuXw87lcfL5enxOi7xEvrkIOIPBYDAsTyIZ4UsfXyqB5csg4W8ON+ZRI2J+wl/PW20KJ+tpLbLqgqidyFosLCxcyyVlubiWi4tyM3ZahS0Xx3JxcRrzWS6BDPnNxG/59NHP8/nBfyXSQnAxSFkur+NVi9LWfGHE4GJjLd2aQRlIRn58ghP/cZRoLMTpdul5wRq6n9SLnZ9eaEVRhZHxXzA0ehPFsgeAhUtnfgedHTuQ27cz9KsROoqXkM92TyofjgcUfzvOxM4xineME43Xf5ipDRlyFxTIiTzZ7XncNaaza9A7whaLhCPDBCPDhPqj/COEoyNKsI0p8ddqrVt2u2D1yy4nHBtrKfLCsTGisTEVHh+b8QYndi6PXSiQXr9BbVxS6MAuFLALHTV/K9fKZMy1bTAYThkCGVCVPtWoSlVW8bUIUWG/HqfDZ2a2cWZ221KbDSRFmLZZ+vhR3Wa/wX6/FtdatAWT0oJEXFK0BQ15249uLQSzEVkpK4VrObV49VFhh8ZwQ96mNKfWVou8yXqph+02M8lmyqB/jO8OXc+eyj4cy6m1Xf+OTlObziQ7G+JqeVt/pzi+x+lh1/D983S2FgcjBhcZ2eQuFuXdRY5+7hDVfWWsnE3fC9fQ84xV2Nnpf2yV6iFOjPyE4bFbCKMJwKKQu4DuzsfRXXg0jtMBwMTGMWAE/0h9lMQ/VmX8l6NM7Byl7BVB97Pd/hSFR3aSv6CD3AUF3L7UAnxrw3JFRpESdUNDhCNDNXEXjAwTDjcKv+mmUVrpNE5nF+nNW3A6u3C6umpu8Xe/pXTPXRx47zumrMMudOB0dpJas1aV7ezE7uzC6ehU9XV04nR0qHwdHdi5vFkTdwohpaQiKxSjEsWoSDEsUZJlSlFJf5r99XA5KhMR8Ud9z+YxHY9a6q9iOM2Jp8JVogoVWaUaVZUrK1S0358k1KpUIy2EpBJ0VS2IqrEg0kIvLhMLo6qsEjH7HYKf2n0ZL+5/Pjk7h5SyJsaS4suPEgItITL9Blv9SUItKUhj25OCz5c+pa4y4a7FGf1Kii8lglwydoaCVSCtw6ma6+JaKZ03jk81lG3Mk5oUTraVStQfiz+H02NH5NWpVfzpmsuX2owVgRGDi80iTxOVgeT4NQMMf+8YSOh6Yi/9L16L0zX9qS+Vd3N06DrGJn4NgON0s7r3ufR2XUY6tWpS/tS6NACVPSVG/us4Yz8bUQIQwILM2TkKO7oo7OgkvcmMjswGtZPqcfwjh5FhSOGhD19qk9oiw5BgeIhg6AThiRMEQ8cJaq72Dw9NPQLnOLjd3aQ3bcHp7sHt7lZuTw9Ot/q4Xd043d3YmWzbajof+zhOXHctViqN09mpP13YDSKv0wi7FUzckSxGRSaiohZ0JUpa1Km4IiUdX4yKTISN4WJUmlOHFiBnZalKnyuPfJo/X/saLum8aJ6/oWG5EcigJrbKUYWKrNTCUkacnzuXtJ2eVC4ehaqLtEpNrKm4uK5qYx5ZpaLFWCXSYR1Xr6Ne11yv5alwcEjbadJWirSVptPpaAinrRRpO00qGbbStTwpHYcFNwz9iP8a+W9uGr0FAF8G825vkqQwSltpCnaBTJSmu9CjbUvV3FTD92hKs1NavKVaiC23QXi5llsTeqeL+DKsXIwYXCoWQQz6g1UGPnmA8v0l3DUp1rx2I/kLOqYtVyrvZuD4Nxkv/Q6AXOYsVvU8i86OR2O3eOVDTGp1GhyY+PUYE78eAwtyFxTouLibwiO7cLtX5uUWjo5S3rsbt7efzOYtMyojowh/8CjVA/sJho7T9fgnYmfbi5aYqFLBP3KY6pFD+IcPJdzDDTtGbnjru8mf/xDVlpSEoyP4Rw7jDxwhs/WMuX3RGRJVyvjHBgkGB5V77KhyT5wgOHGccGS4/Q5JjoPb00v2rO24vX24vX04PT24WuDFfjtfmJeXabu9fax55WtOuh7DwiKlpBSVGI8mmAgnGI+KTETjjIet3AlKkRZ5oRJzc3m6n7Wy5J08PW4PG+z15O08eTtH3s6Ts3Pk7Rw5O0vOzulPdpKbsTLYls395d38/aGP86mBzyGRPL7z4gU4SobZEou2sqxQjsqUI+VWZEX5pYqrxGlxOE6PyrWylYRQm+5663f76HI6GwRcRY+4zScpK0XGSpO2M+TtPL1OD2k7TcbKaDdN2kqTtTMJYZYUaspNTQrH4i4WdumTnrKX5PGdF3PdievZWfxtbSpi0pbYnqQAayXWksIzrqM5vt10w507d7JDmE2wDK2JIonvSwJfufEnCCR+tSktkPjVqJbW3etir7Du7goz9xRgkR4Ole8vcuij+4jGQjou7mbNn26Ydl1g1R9k4Pg3GRn/HwAKuQtY3fscCrmHzOipluVadD2hl8q+Mh0Xd9N5UfeKm/4pfZ/Kvr2U99xPec8uyrt3EQweBcAuFDjjn67Cct3JZQ7so7J3D5X9+6k+uI/KgweQ5XItT1Qq0feHz6uXCQKqRw5TfXA/lQP7qT64n+qDBwiOH5tkk5VKkVq3nvS6DdidnYze+GOOX/M1RtdtwD9yCP/IYaJSqZbf6emFl7yyZpt/dACA9MZNMz4G/uDRRqF3bBB/ULnh2Gjrgq6L29tH9pxzldDr68Pt7U+4/ThdXfMi8gzLk0AGjIcTjIXjjEfjTERFxsNmd4KJaKLmToQTTETFWY1mZKw0eTtPp9PButQa8k6OXE3M5SjY+XrYySficjXRN5+d2+3Zs3jXhrfyoUMf49MDnyeSEU/oumTe6j8diGRUm4Z7zD7OfaVdlGR5klBrEHMJsaZEXCzuVP6THXGysMhaGTK2+nRancpvpbWbIVsTXxmyVpoBf5Cfjf+SibBIRouvbreLtJXRwi2dcDMNYk3lz5BJCLlMQ5oqo+JS83oNLyYpK8UL+p/LC/qfu9SmGJYpUmqhpYVXtRqHo3q4KqnGcc35/ChRRou4pICrahFXi4sahF94krOHX/OX83McFgsjBheb+DWDCzgyOP6/owz88wFkIFn9qvV0PaX9u/yULQGDQ99jcOg7SOmTzZzBuv6X0ZG/YNZtr3nNxpMxfdEJR0cpefdQuu8eyrvvp7J/HwT1DoRdKJC/8GEU77idaGKC4t134vb0Un5gN5UH9lB5YDeVB/fTcOdwHNLrN5DevJXMps0c/841jP38p1iuWxd+hw7SfLdxunvInXcBqfUbSK9bT2r9RtLr1uP2r6oJKCkl5fvu1W3vAdclvXYdqXXrSa1dT/XgAYq330bh219n7zVfITg2qC42y2Lz+z9MZvNWVU8Y4h8bxB84XBtRrA4cwR84Ui/TjOuSWrWa9NZtpFatJrVqDe6q1aRWr8ZdtRqnq9tMhTmFiGREMSoyGo4zFo4xFmk3HOf+7P3878BttXCcNhEVZ1y/i0uHU6DL6WJDej0FO0+H09HkFijYhQY3b+dxp5ihsFSclT2Dd294Kx849DE+e/SLhIQ8qesJS23WrPClXxttLUXl2hTaXreH7dmzJuWPZERFVhJrKMst1leqdZUlqabllhvy1N2KTOzI2wkcnJ3tKStF1sqSsdN0u92stdaQtbNk7QxZS7kZO0vWyjT5G/Nk9YhvLNDmck/7s7WvnnUZg2E5EkXNgqxRZNXTovaiLSHefL+FcGuRN/AXdvqc40AqZeGmLOW6Frm8QyplkXItUmkVl0rX01NpnZZqTHddi1TKrqWvXuNyfGhkQe2fb5bfP6rhpBj7+QgD/3wAK22z/q1bKDyic8r8pfIeDh79LOXqflynl3WrXkJ3x+Pavg9wpROMjlC+9x5K3t2U7r2b6sEH64mOQ2bLNrJnnk32rLPJnHk2qbXrsCyL4p2/49DHP8ThT3y4sULXJbN1G9kzziKz7UwyW7aS3rAJK1UfES3vup+J227l+Le+BoCVzpDZuo3Mpi2kN28hvWkLmU2bcTq7prXfsiw2vPkdVA8eILW2USgCVA8fYv9dd+AOHEZ2dZM951ycfIGJ227l6JeuwunqVuLv2OAkMQpKkGa3C1Jr15FavUYJvtWrSa1ajdPdY0b1VjBSSiaiCUbCUYaDEUbCUUbCUUbDUUbDsYSwG9PhcWS7+ewZYEx5HRw6nQ763T62OVvpdDrosDvocAp02AUKbdy5drSXM2dkt/GejW/lgwc/xueOqu3Mn9x96aK0XY2qjeslE+shi1GJYljUaU3xtfWUxSlH0kT2HAIZaDGnN8+RlfbXyDRkrDRZPeW2z+2t+XN2lvFj42xZu5mcnSVr55oEXaNwi0fuzMulDcuFWEBVKhGViqSqXcex2LLt5O97UkqCAKoVJcyq1YhqRVKpKmFVqcTiS/n9qqSi8/jViEpVUq3oclP6o+Sz8XnHsiCdtkinlZjKZm06uyzSWmyl0japVJxuJfxaeKXb523IFwu+VN1v2wv733N854JWP+8YMbjo6D/O+V/fzcStowx86gB21mbDu7aRPTvf3goZMTj0HY6euBaQ9HY9iXX9L8VxCvNv2BIifZ/SffdSvOO3FO+4vUH8WekMuQsuJCfOJ3fueWS2nYmdnrzoHyB37vlkzzmXqFwme8aZZM44k8y2s8hs2jxp2mgzq178crJnb1dTPTdtIbV6zUmJqnitXSvS6zew7ROf4vY772LHxWrdkowi9r/zzWokEbA7OslsO1ONPq5dpz/rSa9dh53Lzdkuw/zgS5+hYFh9Qu0GQwyHI4yEIwwHI4yGY1za9Xhe0PdcxsJxRsJY3I0wEozWhF5z3HRrnSwsOuwCnU4H61Pr6HI66XQ66LS1q8MH7z/Ioy54FF12Bzk7d8qJupNhW2Yr79n4Nj5w6KN8YfBqIiKe2v2kacupHU2rDVNn1frJCb0+Uq2XVOsqizqfdqOJOU2JTFmp2jrJVW5/w3rJvJ1X02+tLP89egte+T5SlkvWUoJtbWpNQsDFayknr6vMWZPXXGbt7JTibeeDO9mxyqznMiwMUSSpVmFkOKCqRVu1osVbWYmhSkVSKUe19KSoS+avlUukV6vtH5CI87JcdElnbWStUhN0MiHupvfP9+wyVwuodNoik7Hp6IzDdl2M1YSWXQ83xbXM20K0xaNthuWBEYOLzQJd+6W7Jzh85QEs12L927dOKQSDYJgDA59ionQHKXcVG9e8lo78hQtj2BLgDx6l+LvfMnHH7ZTuubO28YqVTpN7yEPJnXu+EnfbzpxWyMVYrsumd14xJ3tSa9bS+6xnz6nsXHC7uiGTqYUt22bjO95LcPw4qbVrcQrTbyJkmH8CGTAcjDQIvLpfCb/hYJixaHzKenKW2ojoO0Pf57qh66cdmUlbabqdLs7IbKXb7abb6dKfbnpc5SrR10mHXZjROiQZhqxLrZn5lz/N2JLZzHs2vJ0PHPoIXxr8dwb9Y3Q7nUrgRRO1jXBi0VfUaylnsxGOjU3BzlNwCvS7feTtPAW9PjLXsBlOtmFzHLWOMjer6bbP7HkaAQEpa2WtATesbIJACbJyOaJcrvsrZandiHKlKVxuEm3VJlFXVlMRoRvYe9I2KvFkkc7YdHY5rMrYpDNKUMVunH7oYJXf3VbEu6c8fcWokbNMRgmodNqis9Mm1e+SSVukdbzyK8GV0eIsk9ECLh23bZFOKXvSmbrAS+t86fTCj5QZljdGDC428e9tHkcG/cEqh/9xP0jJ+r/ZRk60H90rV/az7/BH8IPjdOZ3sHHt63CdlS8OqocOMn7rrxi/9X+p7t9bi0+t30D+wodReOjDyZ5zXtuRv1Mdt1vt0mlYGEIZMhQMczw4wfHgOMe0ezw4wbHgBCeCE4yGY1PWkbdz9Dq9bM1sodftodfpodftpdftptfppdvtpsfpJmtneLB6kM8MfAHXcmvCrtvtahB63U4X3W4XWStrRu6WgM2Zjfztxrfzdwc/wveHf9Ayj4NTWwe52l1FobY2Mk/BLtTEXt2v450CuUU8r5ZlkcIIQUNr4mmL5ZIWa5UpxFscrkSUS83CLllmfqYopjNWTTB1dbtkVitBVK6MsXp1jxJrWbsm6ur+uojLZFqHU3MQUfd7JY4O+EqQZRKjb5P8Nq6LuXcbFgUjBlc40o848g/7icZCVv/pBvIXthd2Y8XbOXD4SiJZYk3fC1nd+5wVfaOpHDzA+C9/zvitv8I/fEhFOo4Sf4/YQf7Ch5NabUYvDCeHlJKxaJxj/nGOaYFXF3zqMxQMtR2hy1hp+tw+NqU3aoGnRV6Dv5uMnWlZvhWb0hv54Ob3ztdXNCwQG9Mb+NDmK7irdA85K6uFXV3gZU7BdZOGlUG8W2OpqMRXqRRpv6RUiign40tKuDW75ZLUI3PRSe++6KYsslklsnp6XDJZi1xOCbVMxlZpWbWuLJO1tKvis1rQZXT5TNaujZK1E2s7d+5kx47zTs7oObBd5NguzHIMw/LCiMHFZp5fOn/8W0ep7C3T9cReup/ceh0ZwOj4rew/8o9Yls3mtX9J9wp9D1YwOsL4L3/G2M9+SmXfA4Ca/lnY8Wg6djya/MN/DyfffoqswdCKclTmqD/I0eAYR/1BBrV/0B/kqH+Msmw9rcfBodft4Zzsdla5ffTrz6pUv/b302EXTIf/NKbP7TXvHTTMG2GoBFxSmLXyq7BsjC9rwaf9cxVwbkoJtWzWor/DrYmyulizyWYssjm7MS3TLOTqAs6sHzMYlg4jBhebebzfle6ZYPj6Y6TWpVn1inVt88VC0LZctm54G4Xc+fNnxCIgg4CJ23Yy+j83U7zjdogiNQL48B10Xfx48g97OHZm+he6G05fIhlxIhjiiD/AEf8oR/2jDWJvLGo9hTNnZVmTWs3a1GpWuf2scvvpT/XVhF6P071i3/VlMBgWFymlGnkrRhSLIaVixMSEEmhxXLEYUSwm4iYiiqWI4oTKX6nM7UmybUM2Z5PL2fT2uWSzNtm8CsfCLpe3VZ5EWjZrk0v4szm1AYjBYDh1MGJwqTjJkUEZSI5+QU2NXPvnm7CzrXdmG5u4PSEE304ht/jTIuZKMDzE6C03MnLTTwiHhwDInHEmnRf/Pp2PuRina/pXMRhODXzpc+WGYsUAACAASURBVKR6lEP+IQ5Vj3DIP8yJYIgX9T+/9v4zKSUj4QiH/QEO+0c4Uh3giD/AYV+5vvQn1evisirVzxmZraxJrdafVax2ld+M6hkMhpgokjUBNzGuhdtEpAVcmBB1+jMRUiqpPHH8bHeBtG3I5W3yeZvu9WklzHQ4Fnexq/xWwl9PS6ctcy8zGAwtMWJwsbHUP8HJbgs8/J/H8A9W6HpyH9ntradFlisHOHDkSizLXlFCsLxnF8M/vJ7xnb+GMMTO5eh+8tPpeuJlZDZuXmrzDAtIOSpzsHqIA9WDHKge5FD1EIf8Ixz1B1uuyfvnI5/lrOwZSvBVB1pO58xaWTamN7A+tZZ1+hMLv16nx4zsGQynEfHoXHEirIk65UZMTIQUtVsLT0SMj4c10Tfb/+5sziKfc+jpddmwqS7k8jVR5yi3YJPP6biCU8uTzhgRZzAYFhYjBheZ+J5+Mrf2cDTgxLcHsTsd+l/UeoMUPxhm3+GPEMkSm9f+5bIXglJKSnfdwdAN36V0z10ApDdtofuyp9J50SXYWTMN9FSiGlU56B/mwepBDlQeVG71IIPBsUl5u50uRHY7G9Lr2ZBap931fG/4B9w4egtHxwdJWakGsbcuvZb1qXWsT62l2+k2nSmD4RQjiiTFYsT4aMj4eMjYmBZ2sZiLR+8mkuJOjdbNZq1cOm2RL6iplRs32xQKDoUOm0IhIdoKTcIuIfbMlv0Gg2G5Y8TgIiP1/8LJjAwOff8YshzR/8frcDomn0IpIw4c+Sf84Bhr+l64rDeLkVIysfPXDF1/HZW96qXouQsupPdZzyZ33gWmE7/CkVJyPDjBvup+9lbU50D1QQb8o5NG+rqdLi7Incfm9CY2pTeyOb2RjekNdDitX5XyqtUv5wmdl9Dv9tHn9poRPoNhhRKGkonxkPHxiPGxkN33u4yPjDI+poTe+FjI+FjEmA5PjKm8M/0fdRwodCgRt3ZtirwWc4UOpybqOjqU2xhvk06b+4rBYDi1MWJwsTnJ3USD4YCRHx3H6XPparN76ODQdymW76Gr8ChW9z5nbg0tAsW77uD4tV+n8sAesCwKj3wMvX/wbLLbzlxq0wxzIJIRh/0jPFDZx75KLP72TXqJeoddQGS3a9G3gc0ZJf66nM5ZtedaLiK3fT6/gsFgmIYokoyPR4yNBIyOhoyOhDV3bCxkLHZHlYgDuOxpPTgONbE3PqbyTIwrgVecaH7xbgE4Oqlty4KOToeOTof1G9IUOh06O5WQ6+hyKNREXV3QFTocMmaqpcFgMLTFiMFFpjZNdI5icPgHx5BVSd9zVmO3eGJZLN/P0RPX4Dp9bFjz2mX5B1jeu4fj3/xqbTpox6Mvou+5LyC9fsMSW2aYKbHw21Xew+7KHh4o72N/9QAVWW3It8ZdzXm5czkjs4Vtma3qhepOz7K8Lg2G0xEp1XvlRkeUgIvF3dhoQuQl4sfHwmlH5CwLJdA6HYaGAq679sSkPI6jhF1vr8vmLSqvEnYOwyOHOPe8rTXh19lp09HhmGmXBoPBsAAYMbjIxP+hc5kmGlUjRm8cwu506Ly0d3J6VOXBgX8BJJvW/jmu0/4F9EtBOD7G8Wu/wegtN4KU5C98GP3PfxGZrWcstWmGaRgOhtlVeYBd5d3sLj/A7soeilGplu7gsCm9ga1a9J2R2crW9Gbyjnnno8Gw2EgpKU5EjIyEDA8FjAyHjIwEDA8lxF4s8kYDgmD6OgsFm85uh/UbUnR1OXR1O3R2OXR1u8rtcmpuoaMu2k4cD7jv3hL5ghJ8HR1K9GVz7Ufrdu7cy44dZrdog8FgWAyMGFxkav99cvZPN8d/NkI0HtL77FUtRwUHh75D1R+gv/uZdOQvOElL5w8ZRYzeciPHr/0G0cQ46Q2bWPWyV5A//8KlNs3QglCG7K3s497Sfdxf2c2u8h6OBccb8qxPrWNH4RGclTmT7dkz2ZLZTMpKLZHFBsPiEUWSkeGQE8cDTpwIWLsuxZatmUVpOwgkI8Na3A2HDNf8AcPaVcIvJPCnfuKYyVh0dTts2Zahq9uhq8uls8tWbrdTE3xdXWp0bq4vBe/rd3ns42Y3BdxgMBgMi4cRg4vNHGe4SCkZ+dFxsKDrKZPXClaqhzg29D1ct481/X98kkbOH9Ujhzj6hc9Q3nU/VjbHqhe/nO7LnoblmktvsZBScsg/zN2le7nr/7N333FyVve9xz9Pm952tu+qtxWoIQRCIMCAwRSDMbaJW1zi65JgO7ZjJ7mJk+v03GvHJcaFa1zBxoWLKwYbmyZ6WdQQ0qqX7X2nz9PO/WNmR7vaKml3tILzfr3EzE57zqDVzHznd87vZPewO7uHSj3Ov877RzRFI+/m2Z87yJ7cXvZk97I3t5+8yJfuH9HCnB9YxzLfUpb6lrDUu3jCpi6SdDazbcHggM1Av10KewPDp/02A32FAOaOWOKmqvDBv6jlkstOPfCMPO7AgFM47bdL4W446KVTJ66tG03TIBrTmb/AQyymE41pxT/68dNiwPP6ZGMUSZIkSYbBM+ckp4maR3PkD+cIXhjGqPKMub6z7x4EDvVV70NTz/w2DMJ1Gfrj7+j7fz9BmCahjZuoetf70GNjp7dKMy+hJHk0sYWdmV3syu5myEmUrjMUnaF8gtu77qDP6udg/jAOx3utz/M0sNK3gpX+FazwLadar5Jr/KSznusKBgcc+notenuKga8Y+oYDX2Jo4vVwmgYVcZ1ly31UVOpUxHVCYY0Hfj3And/oIpdzueqa6Kj7DE/XHBgOev3FoFf8ebDfYWCgcNzJBIMq0ZjGgoVeojFtRNDTiY0IfMGQKv+tSpIkSSdFhsFyO8VuosmnhgAIXxobc10620Iy/SIBXxOR4MbTHODps3p76LrzG+RadqOGw9R+8DZCGzed6WG9quXcPLuze9iReZkdmV20RdpLzfgqtBibQ5s417+Sc/0rUVD41NH/ybOpF1BRWexdxEr/Cs7xrWCFf/lJd/WUpLnAsgT9fRZ9PTa9vXYp9PUVz/f32RPuL6cbCvG4zoqVBvFi0IvHdeJVhdOKeGFd3HjNS9aeF+AL/97OXd/pYf/eHK4rCkGvWOEzzYlf7D0ehYq4Tn2DQUXxOBUVxdN4YaPyaEzHMGTAkyRJOhMcIci6LhnHJeu4ZIbPT3Aa0VXOPdODPkkyDJ4FhBCknh5C8asE1ofHXNfVdw8AdZXvOuPfCqe3vUTXnV/HTacJbriQ6vf+D/To2AArnZ7hqZ/N6W1sy+ygJbuvVN3zKh6WWIu4rH4zawOraDDqx/xe/FPj32MKi+W+pfjU8qx3kqTTYZouvT02Pd3FkNdjlUJfX29hOuVEVb1YhcaiJV4qqwyqqnQqqw0qK3UqKgthLxQ+9YragoVe/v6fGvn8v7Xx9BPJ0uWRaGH7g1hcGxPyhn8OBGUlT5IkaTYIIcgLMSqojQ1vzpgwl3EL54eDX949uepNUFM52za9kmGw3IaXaZzE71ZuXxa71yJ8WWxM45hMbjeZXAvhwAYC/qaZG+dJEo5D/y9+xsD9v0LRDarf/yEir7tKftCZQbawacnuozm9jebMVrqsQulPQWGxdyFrAqtZ61/FCv8ydry0gw2xDRM+ltyfT5prhBAkEw7dXRbd3TY9XRbdXRY93YU/A/3jl/U0rdCkpOkcP5VVOlXV+ojQpxOvNGa9slbf4OE//mshbW0msVihoneqDVckSZIkcIsVuXSxIpcuhre0U7gs47qkHacU8kZenymGuclXWY/PUBT8qkpAU4npOgFNLf0cUFX8E5wO3y6ia+zcOjDj/z9mkwyDZ8pJhMHUs4UpoqFLomOu6xn4FQDV8TO3ubyTydD1zf8ms3M7Rk0tdR/9FN6Fi87YeF5NMm6WbentvJjexvbMDtJuBgCf4mNj8AIuCK7nvOAaIppswy7NfZYl6Oux6O4eDnqFSl93l0VPl0U+P/aFUVGgskrnnFV+qmsNqqt1qqqNUuiLVYw/fbPc/AGVZcvP/HptSZKkucAVojSlMu0Ug9qICl3acYqBbvyfs657siuq8KsKAU0jrusEvMdD3ImnE4c6DWMOvJ+UmwyD5VYq7E3/ly2zPYXiVQisHt3BMZs/QiqznYDvHAK+M1PpsXq66fjK5zHbWgmsXU/tn38cLSD3lpuKEIJ9uQM8lXqGF1IvsT64jg/VvB+ArJulOb2NZ1PPsz2zE0sUNgGr0ivZHL6YDcH1nOtvkls5SHOS6wr6em26Oiw6O0w6Oy06Oyy6Okx6e+xxp3L6fAo1dQY1tQbVNQY1NcXztYXAJ6tskiRJ5ecKUazEOaRGnKaKFbjjp6PDXroY5k6WX1UJaipVHp2gqhLQNIJaIcAN/3z8vFq8TiNYDHOanI12SmQYLDPlJBvIWL0mVluewPowijF6imjf4IMAVFfcNIMjnL7cwQN0fOXzOIkhotdcT9U734Oiynblk+kwO9mSfIonk8/QY/eWLn80sYUl3kVsy+xgW2ZHKQDO8zSyKXQhFwY3sMAzT067lcrKtgXdXRYdbSYd7SaZjMvV18YQAoYGbTo7jge94dDX3WWNu8ddNKaxvMlHbV0x8NUePz2dNXuSJEnSxIbXzqXssQHuxJB34mnmJAPd8HTJGo9OQFUJDoe3YvXtxJ9Hhr2AqqLK94EzQobBM2WaYTCzPQVAYF1o1OWOk2Eo9QyGXkMocN5Mj25K2ZbdtH/584h8jur3fIDo699Q9jGcLbJulmdSz/N44ilacnuBwjTPy8KXcEloEx1WJ3f13sOdPd8HjgfATaELmedpPIMjl14r8nmXjjaT1mMm7W0mHe0WHe0mPV3WmA6cjz+SwDIjmObhMY/j96vMn++htt6grt5DXb1BXb1BbZ0Hf0B+USRJkjQVUVwrl7ALwS3pOCTtQjhLFn9OFa9LOS62EKwO+lEUJqjaOTgnMd/SqygENY0qQyeoqYSKgS2oaYSGT/Xjlw+fyjB39pJhsNxO8t9JKQyuHR0GB1NPIkSeeOQqFKW8H7IyL2+n46tfRDgOdbd9gtCFctuIEwkh2J1r4dHEFp5PvUhemCgorPGv4nWRzVwY3IC32MXzHHcFR/JHqdIr2RTayHyvDIDS7DBNl452i7ZWk/ZjJq2tedqOjT99MxhUWbzUR32DQX2jh/oGD/tasjz6hwShsMuiJRHq6gxqR4S+SFSTFT5JkqSi4WmWI0Pc8fMOyeHrRoS9lD1y59/J+VQFSwha8+aoy1UoBbVqQx8V3EInBrsTTl+La+Ze62QYLLeTmCYqHEF2Vwq92sCoP77RvBCCgaGHAY1Y5IrZGOWE0tteouNrX0JBof4vP0Nw3fqyHn+uy7pZnkg+zUNDj9BqtgFQa9TwuvClXB7eTJVROeY+PtXHX9R+sNxDlU6B4whaj5kc2p/jwP4cmbTL+z5UQySizcjj27agrdXk6OE8rUfzLFzi45JLT37fR9sWdHaYtB0rVvtaTdpaTbo6rTGhLxzRaDrHT+N8D43zPDQ0emhoNAhHxga79RuC/Mm7qmhubmbDhjPXvViSJKnchBCkXZeE7ZCwj1fskiNCXCHouaXzKWd6TVAUCuEtrGnU+A3CeuF8SNOI6IWgFtY0wiPODwe3jONwKJsnMCLQ+VVFfjEnTZsMg2WmnHA6GfNYDjftEtoYHfWPOm+2kjOPEA5egKGXbw+/bMtuOr/+ZRRVpf6Tf0Pg3NVlO/Zcdyzfxh8SD7Ml8TQ5kUND45LQJq6OXsE5vib5onwWEqLQCOXg/hwH9+c5uD/H4UP5MZuIO24Xn/jM2L0cp2JZgtajeQ4fynP4YOG09Wh+1LRMRRkiEtZYvW7ipkzplMPRI3mOHjE5diTP0SN52ltNbHv07YJBleVNPhrnFULfcPiLROXbgCRJrz1ucQ+6hOOUAt6454unyWlW7FQgXAxxjV7PmBBXOK+NCnwh7dSnWAY0jVUh2bhPOnXyU0C5lSqDU/+jz+3LAuBd7h91+VDqaQBioUtmdGiTyR85RMdXPo9wXeo/8dcyCFIIC9syO7h/8Hfsyu4GIK7HuTlyA1dGXkdMH7sViDR35XIuB/blOLAvx8EDhQCYGDr+1q8oMG++h8XLfCxd5mXxUh8/ubuXbc0ZHv1jgquuieI4gvZWk4MHchw6mGfxEi+vuyqKabq0HjNLoe/IwTytx0YHP91QWLDIy8JFXhYs8hIIqnz7G13c8bVO/uk/5hOv1OnttjlyJF8KfceOmPT1jk59hqEwf6GX+Qu8NM73MK8Y+qIxOYVTkqSzX2FNnWDIthkqBjdNUTgvHCDruAyNCG8jzycch6Hi+T5PmOyuA9Pahy5Q3Duu2m8Q1QshbzjshTX1eLgrBryAKhtiSWcXGQbLrfj6MF579RPl9hf3lFt+/BsfIQRDqWdRFA+h4PmzMcIxzM4O2r/4v3FzOWo/8nGCa8vfsGYusYXNk8lnuH/wd6WpoKv953Jt9PWcHzwPTZmZKYPS7BocsNnbkmPfniz79uY4ejjPyMZp8UqdCy4KsmSZj6XLfCxc7MXnG70+90O31fIPf3OUn9zdy7NPJjl8OI85Yq+8x4A//m6I9jZzVPAzDIWFi70sWuxl4WIfi5Z4aZznGbOFQi7j8v1v9/Av/9CKabrksqNfOKIxjTXrAsxf6GHBIi8LFnqprTPQNPlBRJKks4cQgtyIgDdoO8XTws8nnjen8yFqAgFVxSMEDQHfqHA30Xm5hk56tZNhsMyGvyyazktLbn8WxafiafQev8w8gml1EAltQlNnf4NjJ50qbR9R/d4PEN5UvmpkOSScJKZrjruW70Q5N8cfhh7lwcGH6HcGUFG5NHwxN8WuZ6F3QRlGK50q1xV0tFul4Ld3T5ae7uMVNV2Hpct9LG/ysWyFjyVLfcQqpn55rIjrfODDNdz+pU727c3RON/DkqU+Fi/1Egpp3PmNLjo7LBYt8bKoGPoWLfZS3zg2+I3nda+PcPhwni2PJKhv8BwPfQu8zF/oIRqTL+GSJM1dOcctBDvHZsgaDnnjB7z8FAFPA6LFqZdRXSNWDGwRXeNozqQjb0073DU3N7NhqVz3LEkgw2D5laaJTv6i56QdrLY8/lVBlBHfSiVSzwEQDc1+B0/hOHR983aszg5i199E9KpXz/YROTfPbwYe4P7BB1EVja8v/CIBbfw59zk3z0NDD/ObgQdJukl8io8botdyQ+wN0wqRUvkJUZiu+cquLLt3ZWnZnSWdOl72CwZV1p0fYEWTnxUrC1U/j+fUuvJu2Bjiv25fSDis4T2hcrh6XQCPRznlSp2iKLz/gzW89wPVqPLbaUmS5gAhBCnHZcC2GbAcBmybwVHnHQYtmyHHIe9OHfAiuka910NML4S2QtDTx5wPnsa6OkmSJibDYLkpY86MK3+guF5w2ej1gsnMNhS0Gd1b0E4M0f3tO4hecx3BNetKl/fdew+Zl7cTWLeeylvfOWPHO5OEEDyVeoZ7eu+l3xlAQUEIkx3Zl9kU2jjqtjk3zx+GHuE3gw+QcJIEVD+3xm/h2ujVhLTgGXoGr06uKzh6JM/LO7IsXORhzbqT+/8rhKCr02LPriyv7Mqy55XsqPV+lVU6a88LsmKljxVNPuobPTMarqqqjXEv9/tnZtsXGQQlSToVori1wYBtYwrBYp93wkA1VcgbeZk9ScZTKVTw6j2eEYFOI1oMdcdDn35ajVMkSZoZMgyWmTLcZHiK6e6l9YLLjlerbHuQXP4QQf+qGZ0i2nPXd8ns2IoWDpfCYKr5BQZ/91uM+gbq/vzjKOrZv2H0gdwhvt/7I/bl9mMoOrdU3MTawGr+ue0/eSm9vRQGbWHzh6FH+eXAbxhyEvhVP2+tuJkbYm8gKEPgjMlkHHbtyLJjW5od2zIMDRbCm9er8J9fWki8cvKXp4F+m107M+zelWX3y1n6+49P+4xVaFx8aZhzVvk5Z5Wf6prxw5okSdLZyhWCQduh37Lpt2z67OJp8ed+y2bAdrBGzERaGfBxeSzCULGCdzIhrzBNU2ehz0uFrlNhaFToOrER5yuMwlRMGfAk6ewhw2C5DX/DP0UYzB/OAeBbcrwymMzsAJjRqmDqhWdJv1iYemr39wFg9fbQ/Z07UDwe6j72KVT/2d2yOOWkuafvpzyS2ALAxuAF/GnV26kxqhFCUKHF2JregSMcmtNbuafvXjqtLvyKj1sqbuKNsetkJXAGCFFYt7etOc32rWn2782VmqqEIxqbLw8TCKr84cEhfvLDXm77RN2o+1uWYF9Llp3bM+zcnqH16PFNdsNhlQsuCnLuqgDnrPZTV2/Ibm6SJJ21bCEYHBHwjoc8p3Bq2wxY9oTdMBUK1bn5Xg8Vhk7c0OizbF5KZtiTyY26rQbEjELIi+s6sRNC3vBlMuRJ0quTDINzlNmWR/WraPHjf0WpzDYAwjMUBt1slp4f/QBFN0DXsPv7CusE7/gqbiZNzZ99GG/j/Bk51pkghODZ1At8v/eHDDkJFnjm8b6qd7MqcE7pNoqicH7wPB5OPMbfHvtHWs12NDSujb6et8ZvJqJFzuAzOPu5ruDggTwvvZDipRfSdHZYQKGR0uKlXtaeF2Tt+gCLFntRVQXXFRzYl+P5Z1JceXWGykqDHdvT7NyeYc+uLPlip07dUFi9LsDqtX5WrQ7QOH9mp31KkiTNBMsV9Fk2fZZVPLXpLZ5qisK6UICs6xYC34jgN2g7E35nrAEVhs6ygI+4rlNp6MSN4dPh8KajjxPcdqUydJl2KeRVGHKqpiS91skwWG7FF1xlksqgsAVWZx7vYn+puiGESyqzE12L4/XMm5Gh9P/65ziDA8Tf/DbS21/CbD3GwAO/Jrd/H6FNlxC+/MoZOc5sM91ChcijekqX9Vp9fK/nbpoz2zAUg3dWvo03xq5DV8b+yp8fXMfDicdoNdu5MLiBd1beSoOnbsztpOmxbcHuXRmaX0iz9cV0afqnx6uwYWOQ8y8Isua8IJHI2C04VFXhPX9Wzb/8Qyv/9R/to7ZjqG8wWL0uwJp1AZrO8eP1nv1TlyVJOrtlHIcey6bXtOmxLHpMm17LorcY+obsybcpb06mR/1sKApxQ2dlwCiFvOE/lXrhNKqfeoVuVSjAqlO6pyRJr1YyDJaZMpwCJ9l03uoywQHPvONbSuTNVhw3SSx8+YxMfzPb2xh86AH0qmpiN7yJ/LEj5A8dpP8X96LFKqh+zwfOiml2jyee5Ds9d7HGfy5/3fBJhBA8mtzC3T0/JityrPKfwwer30f9JOFufWAd76t6N4u8CzjHL1tNnwrLEry8PcNzzyTZ/lKGbLYweSkUVrnsijDnXxhi1Rr/tDp2Ll7q47obYzz+SIKV5/pZsy7A6rUBue5PkqSyEkKQdFx6LIveYsjrMe1C+CtelnbHn6ipK1BpGMwLeqgsVu0qDZ2q0nmDI7k8rXlzVHUvrMkNyyVJKi8ZBsttGi/yZlthPv/I/QUzuRYAAr6Vpz0EIQQ9P/o+OA5V73ofqseDHi9ukeC61Lzvg2jB0GkfZzbl3Dzf7bmLLcmnAGjObKPb6uGu3nt4Mb2VgOrnI9Uf4IrwZVO+saqKyvWxa8ox7FcV2xa88nKG559J0fxCmmym8KGoskrnsivCbNgYYtkK3yltq/D2d1fx9ndXzfSQJUmSSoQQDDkO3eZwRe+E6p5pT7j3nVdVqDYMlhs61R6dKsOg2tCp8uhUG8a0qnfnBP2cE/RPehtJkqTZJsNgmZXeGyaZJmq25QHwNB7vGJrOFsPgSVau7IF+en/yQ+Jv+RM8tYXqWHbXTrK7dhJYvY7g+g0AGFXVAIQvvrR02VzVarbxlc6v02q2s8S7mBqjmmdTz/OZo5/FFCbn+ldyW82H5B6As8B1BS27szz3TIoXn0uRShYCYLxS53VXRrjokhCLlnjlN9uSJM0JpuvSY9p0WRbdpkWXadFt2nSbhZ8nCntBVaXea1BlGKWANxz2qgxDVvAkSXrVkGGwzJTJFgsWma3DYXB0ZVBTQ3iN+pM63sD9vyT13NN4FyzE88abEULQd99PAai89R2lN7PwJZfhWtac31j+yeQz3Nn9PfLC5LroNby76k/Yk93Ls6nncYXLuyvfzhtj16Iqcj3ZTOpoN3nq8SRPP5EsbeEQiWq8/toomy4JsXS5TzZwkSRp1qUcB5+qlpqjiOL2CqWgZ9kjQp/FwARr9vyqQr3XoMZjFILecOArhr2AJt9DJEl6bZBhsNyKn5cny4RWWx7Fo6AXN7K27H4su4dw4HyUkwg5TjpF4onHgcLG8gDprc3kDx0gdOEmvAsXl26rhSPEb3zzST6Z8nGFy0/77uNXg7/Fr/r5VO1HuSh0IQCr/efykZoPsNS7mAXes7f76ZnkOIKd2zI8/USSxUu9XH9TBemUw3PPpHhqS4ID+wpfUPj9KpdfFWHTJSFWnuuXAVCSpBklhCCDwt5Mls68RadZ+NNVPE07LmFNZYnfR18x+JnjVPcUoMrQWRX0U+sxqPHo1HgMao1CAAzJyp4kSRIgw2DZTfXmI1yB2Z7HaPCiFD9oZ05ximhiy6MIs/Ah3hkaQrgu/T//GSgK8VtuPYXRnxlZN8vXOv8vzZlt1Bm1/HX9J2j0NJSuVxSFKyOXn8ERnr0G+m22PJrg8YcTpYrfC8+l2L8vx/atGWxLoCiwel2ASy8Pc/6FwWk1gZEkSZpM0nboME3a84Wg15E/Hviy3ggcbBt1e12BWo/BPK+HfZkc21MZAqpKo9dzPOh5CkGvpji1c7ytFSRJkqTRZBgst+E3pwm6idp9FsIUeBpGThHdC0DAt2LahxGuy9Aff4/i8SLMPE5iiHTzC5itRwlvvhxPQ+OpP4cy6rF6+XzHVzhmtrLGv4pP1N0mN4A/Ta4reGVnlkf/OMTW5jSuCz6/wlXXRKisMrj3x300P5+mvsHg5su1SAAAIABJREFU0tdFuOSyMBVx+VIhSdLJsVxBl2nRbpp05C3a8yYdpkVH3iTpjO3CaSgKdR4DbybNytpq6ooBr95jEDf0UkOWVHHPmZA2dnsaSZIk6eTIT3jlNsU0Uau7sGeeUXt8z7yceQRQ8HkXj3+ncWR27cTu6yVy+VWkXngWJzHEwIO/AaBiDk8HHelYvpX/bP8i/c4A10Wv5j1V70RT5Jv/qUqlHLY8kuDRPw7R012oAi5c5OXKayJs2hzG51MRQlBTaxCv1FmyTDaCkSRpckIIBmyH9nyhytcxIvj1WPaYXmkqUOMxWB7wUe/xUO8thL06r4eKYgfO5uZmNtRN3E1YhkBJkqSZI8NgmSlq4a1xoiWDdo8FgFFTCINCCHL5I3iMWjTVN8G9xko8/jAAkSuuIrt3N2ZbKwhBcP0GPPUNU9z71JmuyX39v2JjaANLfUtO+XFasvv4fMeXSbsZ3lP5Dt5Ycd0MjvK1paPd5KEHBnlqSxLTFHg8CpddEebKa6IsPqHzp6IoXLhpbm8rIklS+dlC0JW3aM2btOZN2kaEv7w79h0tqmk0BXzUez00eIzCabFhi5y+KUmSNHfIMFhmSrE0OFVl8HjzmD4cN03Qv3rax7CHBklvbcYzfwHexUvRIlGszg4AYtfdeBqjn5wQgu/23M1jySfosLr4q/qPTXkfV7j8auB+6ow6Lg5vBKA5vZWvdH4DV7h8tPbDXBa+ZNbG/GolBLyyM8PvHxhk+9YMUNj/75rro1x2RYRgUH6zLkmvNa4QCECbJIxZrqDDLAa+3HDwK0ztPLEvp6Eo1HsM6r0GDV5P8Xwh9AVl9U6SJOmsIMNguU3xhag9PE20WBksTBEFn3fhtA+RevYpcBwil1+JoihokQgA3sVL8K04/U3rJ/LQ0MM8lnwCgKPmsSlvL4TgOz138XDiMSr1OBeHN/JM8nlu77oDQ9H5q/pPsD64dtbG+2pk24Jnnkzyy/tC9PW0A7BshY9rb4hx/oXBU9oAXpKks8vw1M1juTzH8ibHcibH8iatORNdUfhgYzUbwkHa8yateYvWnFk8b9JpWmNmrvhVlSV+L41eD/N8Hhq9hT9VI9bxSZIkSWcnGQbLbKpN560eCxTQ44XKYC5/8mEw+ezToKqEL9oMgF5R2Hw9dt2Ns7YGrCW7j7t6f0xECxPVorSabeTcPD7VO+7thRD8sO8nPJx4DIA+u58HB//A3b0/xqt4+J8Nn6bJv3xWxno22NeSpb/PZuPFoWn9nZmmy5ZHEzzw60H6+2wURWXjxSGuvSHG0uXTn14sSdLZJe04HM0NB758KfilT2jQYigKjV6DTtPiq8e6UBj7NhTUVFYEfMwrhr15Pg/zimv55PphSZKkVycZBsut+IY60duq3WOiVxooeuEWpTDomV4YNDs7yB86QGDNulJFsOL6G/EuWEjowk2nN/YJpJw0X+36Ji4un6z7KM+nmjlmttJqtrFsgnWDvxl8kN8O/p5Go4G1gdU8OPQQP+j9EX7Fx983foblvmWzMta5Rggx6kNW67E8997TV5raGavQaTrHP+H9czmXR/8wxIP3D5IYcvB4FK65PkrjgmNcceVrN0xL0quNKwTdpsWRnMmRXL502mvZo26nAPUeg1VBP/O9Hub7vCzweaj1GGiKQlve5AcdPdiCYugrbNfQ6PMQ1WTokyRJeq2RYbDM1Ekqg8IV2IM2vuWB0mU58wiaGsTQK6f1+KnnngYgtGlz6TI9XknksitOdciTEkLwre7v0Wf3c2v8Fs71r6TT6gLgaP4Yy3xLcIWLqhzfm+6xxBPc0/cz4nqcv2v4NB1WJw8OPfSaCoKd7SY//mEve3fn+Oy/NBIIaPzi3j6efDyJEKBp4Djw0IOD44bBbMbloQcHeejBQdIpF59f4Y03x7j2hhiRqE5z89Ez8KwkSZoJOdflWCn0FYLf0Vye3AmNWqK6xtqQn4U+byn4NXoNPOrEe4E2ej38/aKzY2shSZIkafbJMFhmE3URBXAGbXBBryj8tbhuDtPqIug/Z9rf1qaeewbFMAidf8EMjHZqDyce5/n0i5zja+KWipsAWOiZDxTWDT6XeoFvdN3Jp+o+xnnBtbyU3sa3ur9HSA3y2YbPUGVUUqHHeGvFzVwQXM9i36KyjPtMyWZcfv2Lfh56YJDiVll887+76O6ysCzBvPkebn1XJWvPC/DPn23lpRfS9HRbVNcUpg2bpsvDvx/i/l8NkE65BEMqt9wa5+prowRDsmGDJJ1tBm2bQ9k8h7PHq30nrttTgQavh4U+Dwt93sIfv4eYLt/CJUmSpNMj30nKTFWHu4mODXf2QGFbCa24XjBvdQACr2fetB7b7GzHbG8luP4CVH9g6jucplazjbt67yGoBvlo7YdL1b95nkYUFLZldvJo4gnywmRbZieVepyvdt6Bruj8bcOnaPQUtrjQFI1bK2+Z9fGeSa5baOzys3v6GBp0qKzSefufVnHvPb20tZrE4zq3/EmczZeHS78j11wX5c5vdPPw74d42zsr2fJogl//vJ/BAYdAUOVt74jz+mtj+P0TVwEkSZo7Bi2bg7k8h7J5DmbzHMrm6LdH9+gMqiorAz4W+guhb1GxYctk1T5JkiRJOlVnJAw2NTXdBvw1UA/sAj7Z0tLyxCS3fxfwN8AKIAH8EfhMS0tLZxmGO7MmKfDZ/YW1H8PNY8zidEuPUTeth06/1AxAsAxVQUc4fLPr25jC5GO1H6HKOD6N1at6qTVqStNFAXZn99Cc3kpO5PhE7W1n9VTQbMbFslwi0en98zl8KMfd3+3hwL48Ho/CLbfGuf6mGB6PSnW1zpHDeS65LIzHM/rD3saLw/zsnj4ee2SI5hdS9HTbeLwKN765gutvjMlKoCTNIYOWjUdVCBS3VOi37GLoy3GoGAAHTgh+FbrG+eEAi31eFvt9LPJ5qDR0uW5PkiRJKpuyh8Gmpqa3A/8N3AY8WTx9sKmp6dyWlpYxC52ampo2A3cDnwF+CdQC3wB+BLy+XOOeKZN1E7X7C5VBPV74a8mbhb0BvdMNg1tfBEUhuO780x7nVB4YfIgD+UNcGrqYjaENY65f6JlPp9XFm2I30JzexpHiVhNvrbi5tJ/g2ej5Z1P84NvdaJrCF766EK934m/r8zmXX9zbz+8fGEQI2LgpxNv/tJLKKqN0m8VLfSxeOn63T8NQuOqaKL+4tx/bsrnmuig3vrmCaEwW9CXpdAgh6DQt9mVyVBo65wT9HMubBFWVKo8x5f1zjsvBXJ4DmRz7sjkOZPP0WTZeReGcoJ/DuTyDJwS/uK6xIRxksd/LYp+XJX4vFYb8tyxJkiSdWWfineivgO+3tLTcWfz5401NTdcBfwH83Ti3vxhobWlp+XLx50NNTU23A7fP/lBnnjJJN1G7v7jhfMVwZbBQ+JxOZdBODJHbvxff8hWlLqKzpd3s5Gf9PyeqRXhf9bvHvc3b4rewwr+c66JX028P0Ga1c1HwAt4av3lWxzZbcjmXu7/bw1NbkqXLtjan2XRJeNzbv7w9ww++001Pt01NrcH7P1jNuWtOfuru9TfFiEY1Vq8LUFU99YdUSZqrhBB0WzavpLO0pLOcHw6yMRoqy7FzjsuBbI69xfC2L5MjOWLrBa+qkHcFGvChxhquqDj+GuoIQWveZH+mEPr2Z3Icy5ujvs+LahrrQwFeSWfZlsoQ13UuKAa/JX4vi/1eub5PkiRJmpPK+u7U1NTkATYA/3XCVQ8Bl0xwt6eA/2hqaroJuB+oBN4BPDBb45xNpaaa41QGd7XvppEarJiDn+EwqGIYNVM+bmb7VhCC4PrZnSIqhODbPd/HEhZ/Vv1hwtr4H+bmexuZ7y10rLux4joq9AreGr95VFfRs8Xhgzm++dUuujotFi/xctNbKvjqf3Xy9BPJMWEwmXC4565ennkyiarCDW+KcfNb45NWECfj8ahccXV0Jp6GJJXVyPA3/KdvxDYIjw8m+Yg7OnjNlD7LpiWdZU+mEACP5vKM3HWvytBZEwqw1O/lmaEUOVew1O/lxWSaO9q6OZLLoykK+zM5DmXz5MXxF2yPotAU8LHU72N5wMdSv5eq4tTOjONiCZeoDH6SJEnSWaLc71hVgAZ0nXB5F3D1eHdoaWl5pqmp6R0UpoX6KYz5D8D7pnPA5ubmUx7sbBgcGADqEGLs2NKDaQCeO/o88fYKPOFjIMJsfWn7lI/r3/IYHuCw7uHgLD7nV4wWXgnsYam1GKNFpZnpHWslS9l15OVZG9dsEAK2vejh6S0+XFfh/I15Nl06hFC6qakNsnNbmie2vEQgWPigeHC/ziO/95PNqNTU2Vz1hizVtUO8/PKRMzL+ufa7L726jPf7lUThiKpzRNU5puokR3z54xcuK1yH+a5NBJcHdT93tHWz//AR1rvmKY9DAP2KSqui0arqtKk6QyOOqwlBnXBodB0ahE2D6xDKC0gVri+1rkrAUkXlPiPIg31DxQcXVAmXFcKh3rWpFw5VwkXNAQOFmxwt/pFmlnz9kmab/B2TZtPZ9Ps157++bGpqOpfClNB/BX5PoenMF4D/C7x3qvtv2DB2PduZ1NH9ElCYLrphw+i1fVt+OEjeY7Jq/Wpq9Qi7D2YIBdaxqGny5yBcl0PfvwMlVsF5V79h1poPZNws3z5yN4Zr8Illt1FjVM/KceaCVMrhW1/vYsfWDJGoxodvq2X1uuPTPPu6Brnnrl6yqSVccEGEe+7q4YnHkuiGwtv/NM4bro+haWeuCURzc/Oc+92XXj2Gf78yjsMr6RwvpzLsSGdoz1ul24Q1lY1BP+cG/awK+mn0elBHvDZdnMvz74fa+SN+6uvm88aq2LjHGq4wRjUNn6biCMHhbJ49mSx70jn2ZLKjpnwGNZUNAR8rA36agj4W+3wY6vT/LW6yHZqTaWoMnSV+H37t7JvNcLaTr1/SbJO/Y9Jsmou/X5OF03KHwV7AodAEZqRaYKLOoH8HPN/S0vKF4s87mpqa0sATTU1Nf9/S0tI6O0OdHcOfhZRxpomGUgHSwQxhYWGa018vaB47gptMEt58+ax2obuv/1cMOIO8Lf7mV3UQPHokz+1f7KCn22b1ugAfvq1mTOfQTZtD/OSHvTz80BAPPThIb4/NwkVePvzRGhrne8/QyCVpZgkhaM9b5FyXpQEftivYl83xpObllwdaOZDNlaZfelWF9aEAq0MBVof8zD8h/J1ogc/L/1rSyL8dauPuzl4s4fLm6nipucvI6aUDtkNYU1nk87I3myM/YvP1SkNncyjAyqCflQHfmNB5siK6xpWzMHVVkiRJkuaisobBlpYWs6mpqRm4Brh3xFXXAPdNcLcAhQA50vDPZ99XthN8RnFdl2A6QFtjF7ZwyBebx0ynk2hm104AAqvWztgwT9RhdvK7wT9Qo1fzptgNs3acM+2ZJ5N871vdmKbgplsquOXWeGnfv5EiUZ3V6wLs2JpBUeCmWyq4+a1xdF22hJfOblnH5eV0hq3JDNtTmdI6v3MCPg7m8oUgpvtQszmW+n2sCflZEwqw3O9DP4kKHECj18PnFs/j3w638ZOufl5OZWnLm6O2YIhqGuvDAbYlM+xMZ5nn9bAy4KOpGP6qp9H9U5IkSZKk8Z2JaaJfAu5uamp6nkJzmD8HGoA7AJqamu4CaGlpGZ4C+hvgzqampr/g+DTRrwAvjbcVxVxX+sb6hMpgKpVCczXSwQyWsDCtwrYS06kMDodB/6rVMzrWkX7afx8ODu+quhWP6pm145wpti342Y96eejBIXx+hb/8TB3nXzB5p8O33FoIfzfcFGPZCn+ZRirNJSnH4fmhFE8NpWjNmby1Js7GSJDYHNsywBWCtrxJjcfAe8Lm5UII2k2Lbck0W5MZdmeyOMXXp5CmsikSYnc6y+5MjgavwZpgAH9XO29au7q0p97pqPMafG5xI/92uJ2X01mimsamSKg0vbTBa6AoCoO2jYpCRJf7a0qSJEnSTCn7J5aWlpafNjU1VQL/QCHYvQzc0NLSMtxlY8EJt/9+U1NTGPgY8EVgCHgE+NvyjXrmDPc1OHGaaGIgAUA6mMEWNqbVDYDHOHFG7WjCssjt3YNn3gL06Phrbk7X/txBnk29wFLvEi4KXjgrxyi3I4fzRKMasQqdTMbh61/uZNfOLA2NBh//dD31DVMH3kVLfPzlp+vLMFqpHGwh0KcxvTDvujQn0jw1lGJbKl0KTgDf7ejhlz39/MfS+Wc8EJquy650lhcTaV5KphmwHZb6vfzDokZUBV5JZ9mazLAtmaZ7RJfPJT4v54UDrA8HWer3oioKSdvBEoJ48Tk1dxydkSA4rNpj8J9L5zNo29R7jHGnu8utGSRJkiRp5p2Rd9eWlpZvUNg4frzrrhjnsrN2X8HpSg0k0YFUqFAZtOx+AAy9atL75Y4cQlgW/qaVszIuIQQ/6v0pAO+u+pNZXZNYDkIIfvvrQf7fj/tY3uTjIx+r5cv/p4O2VpN15wf484/X4feffbOPpVOTsh2eHEqyZSDJsbzJXy+sZ21o7H6QrhDsTmfZMpjkuURhKwKAhT4Pl0TDXBIN0ZLJcU9nL/22wxePdvK/FjdOu3GJEIKjeRNHCJb4faf8fBK2w9ZkmuZkmu2pTGltXVhTWer3ciCb52/2H2WwGO4A/KrKRZEg68NBzgsFxg2x4TJU4wKaSkB79c06kCRJkqS5TH7VWmYTNTbIDGaI4CUVSmMLG9vuQ1NDqFNMycztbQHAt3x2wuD2zE5251pYH1jHuf7ZOUa5uK7gx3f38ocHC23j97Xk+OfPtpJMOFxzXZR3vrdq3PWB0quLEIJX0lkeGUjwfCKNJQQqheW8XzvWxf9eNr9UAevIm2wZTPLEYJLeYvWsytC5vjLM5miYeb7j/z6rPQaboyFub+3i6aEU3+3o4cMN1ZN+gdKaM3l6KMnTQyk6TQsF+MyCejZEgtN+Pp15kxeSaZoTaVoyudIM9HqPwQWRIBvCQVYEfAjgv4918nwizXyvp1T9WxHwTasiKkmSJEnSq48Mg+VWmiY6+sOXOZQHvGQCWWxsLHsAzzQ6dub2FcKgf0XTTI8UIQT39f8KgHdUvnXGH7+cHEfwvW918+TjSRrneVh/QZD7fzlAKunw7vdXcc11szPFVpo7hmybxweSPDKQoNMsbIHQ4DG4siLCZbEwzyZSfL+jl68e6+TSWJjHB5Lsy+YA8KkKV8TCXF4RYWXAN+GXOoqi8JHGGjryFo8OJFjo83Bd5ejfrS7T4pliADyaK+yv51UUNkaCbEtm+OqxTj63pHHSCmFb3uS5oRTPJo4/hgKsCPjYEA5yQSRIg3fsF0mfnF9HynHlujtJkiRJkgAZBstuosqTnSpUHTKBLHknjSuy6Hp80scSQpDd14JeWYUer5z2GAbtITJuhgbP5OvdXs6+wr78AS4Irmehd8Gkt53LLEtwx+2dND+fZslSL3/1PxvQNIXEkMMFG4OsXT/9Kox0dnGFYGcqy8MDQzQn0jiAoShcGg3z+ngh2A1X7q6NR9mdzvJcIs2eTA4FWBP087qKCBdGgmMar0zEq6p8ekEdnz3Qyl0dvczzemjwenh2KMXTQ0n2Z/MA6ApcEA5ySTTE+ZEgPlXlhUSKLx3t5PNHOvi3JfOoKnbKFELQmjd5dijFc4k0rXmz9BjnhwNsjIRYHw4QnWJdnarIBiySJEmSJB0nw2DZKSP+e5ybKuzWlQnkyDmFZjLGFGHQ6mjHTSUJrFl3UiP4YufttJlt3Ln4a2jKxB8Mf97/awDeUnHzST3+XJLPudz+pQ5e3pHlnFV+/vIz9aU1gR/4SM0ZHp00W1K2w6MDCR7qH6KnOL1zgdfDVfEIl8bChMZpfjJc1QtqfdR6DC6LhUvTRU9WlcfgUwvq+NfDbfyfIx3YQiCgFDA3x8JcGAkSPGEcF0ZCvKeuirs6e/k/Rzr4UGM1W5MZnkukShu6G4rCBeEgF0VDbAgHZrSRiyRJkiRJry0yDJbZcDfRE7eWEOlCGMz6c5hOYU2boU9e7csOTxFdPv0poh1mJ/ty+wEYsAepMsY/xivZPcW1gmtZ4ls07cefS/J5l698oYPdu7KctyHAbZ+ow+ORzWFezY5k8/yuf4gnB5NYQuBRCtM7Xx+PsszvnbIBUkDT+HDjzHxJsDLo54MNNdzZ1s2KgI/N0TAXRYNTVu+ur4zSbVr8rn+I/3WwDSgEwI2RIJsiIdaHg/g1+XssSZIkSdLpk2GwzNQJdp1XM4XLs/4ceScJgK5XTPpY+UMHAPAtXT7t4z+deq50vs/unzAM/mrgtwC8Jf6maT/2XGKaLl/9r0IQ3HBhkL/4RJ3cEP4s4AjBc0MpXk5nubUmTsU0KnO2ELyYSPO7vkH2ZApr/GoMnTdURrmiIjJuFbBcrqyIcHksjHYSDVoUReG99VW4FLqDXhQNsj4UxCcDoCRJkiRJM0yGwXIrrhk8cZ9BNa3iKoK8N0/eSQFgaJNXBvOHDqLoBp7GedM6tBCCp5PHw2Cv3UcTY4Nkm9nO9sxOmnwrWO5bNq3HnkssS3D7Fwv7Bp63ISCD4FnAdF0eG0hyf+9Aac+7Xsvi7xY2TFjNSzkOf+wf4qG+IfptB4C1IT/XxmOsDwcmbPJSbicTBIepisIHGqZuICVJkiRJknQ6ZBgss4l2LjAyGjlfDqGC6aYLl02yZlBYFvnWo3gXLkKZ5mbMR81jtFnthNQgKTdNr9037u0eHHwIgDfG3jCtx51LbFvwtS93sHN7hrXrA3z0k/UyCM5hOdfl4f4hftM7yKDtYCgKV8cjdOYtdqSyPDyQ4Op4dNR9ekyLB/oGeWQgQd4V+FSFa+NRrq2MjttBU5IkSZIkSRqfDINlVioSnFAZ9GQMMoHCFDfTyQCTh8F82zFwHLyLlkz72E8lnwXg2ujV3DfwK/rGCYNJJ8WW5NNU61VcEDx/2o89F7iu4Dt3dLP9pQyr1vj52KfqMAwZBOeirOPyUP8Qv+0dJOE4+FSFm6tiXF8VI6br9Fk2f73vKD/s7GVtKECNx+BQNsdvegd5diiFC8R1jbfVxHh9RUQ2UZEkSZIkSToFMgyW2/A+gyMucl0XX9bLQLTQRdR0MyiKF1UNTPgw+UMHAfAtXDytwwoheDr1HH7Fx9XRK7lv4Ff0WmPD4MNDj2EKk+ti16AqZ9capXt/3MczTyZZsszLX366XjaLmYPSjsPv+oZ4sG+QlOMSUFXeWl3B9ZUxQiO2PKg0dN5fX8U32rr572Od+FSVXeksUOgKemNVjEuiYfSJSu2SJEmSJEnSlGQYLLPCOqbRZcF8Po9u69j+wlopS+Qw9PiknQ/zhwthcLqVwcP5I/TafVwaupiYFsWv+Oi1+0fdxhEODw09jE/xcWX4spN4Vmfe7387yIO/GaSuweBTf9OA1yeD4FySc1we6Bvk/t5BMq5LSFP5k5o411VGJ6zqXRYL83wizYvJwrTp1UE/N1bFWBcKTNkVVJIkSZIkSZqaDINzQLr4YdcJFkKiJcwp9xjMHz50Us1jmjPbANgQXI+iKFQalWOmiW7L7KTfGeCayFUEtImrknPNs08l+fHdvcQqND7zdw2EI3LK4Fxhui5/7E/wy54BEo5DWFN5V20l18SjU26PoCgKf95Ywx/6hzgvHGCx31emUUuSJEmSJL02yDBYZoWplw6KOF7ZSCUK3UMJFk4clEm3lRC2XWges2D6zWNeSm9DQ2NdYDUAVXolrWYbGTdLQPUD8EjicQCuilx+ks/qzNnXkuXb3+zCH1D59N81UFVtnOkhSRS2iNgymOT/dffTZ9n4VYVba+LcUBk7qT3yQrrGLTWTfzEiSZIkSZIknRoZBstsvGV4+UweDVD9hSttwNBiEz6G2dVRaB4zf8G0jtlvD3Awf5jV/nNLFb+qYuWxz+on4G2k3x5ga3o7i70LWXyWbDLf12tx+5c6cV34+KfqmL/Ae6aH9JonhOC5RJqfdfXRbloYisKNVTHeVFVBRJcVW0mSJEmSpLlEhsFyK1YGRy4bzGfyBFDRAoW/DgfQtMiED2G2HgOY9hTRrentAJwfPK90WaVe2MOw1+5jvreRxxNP4uJyVeR1J/Fkzpx8zuUrX+ggMeTwp39Wxblrzp5prWe7Y7k8roCF/tHhe18mx10dvezL5tCAqysivKUmTnwaG8dLkiRJkiRJ5Sc/pZXZ8EbYI9tf2BkL8GIEClMcHUCfLAy2tQLTD4MvpQvrBUeGwSqjEAb77D5c4fJoYgtexcPm0KZpPpMzx3UFd36ji2NHTK64OsLr3xCd+k7SaUvYDj/t6uORgQS6ovCFZfOp83roMS1+3NXH00OF6c4XRYK8s7aSOrnnnyRJkiRJ0pwmw2CZKeO0wreyhTDoLVZaCmFw4oBzPAzOn/J4pmuyM/sKjUYDdUZN6fKqEZXBPbm9dNs9XB7ePKcax3R2mCCgrmF0qPj1zwd48fk0Tef4+NP3V8vOkrPMEYI/9g/xs+5+0o5LXNfpt22+097DEr+PB/oGsYRgid/Le+uqWBn0n+khS5IkSZIkSdMgw2CZDWdBZcQ0USdT2FLCGyiEQRtlisrgMdRAEC02cZOZYbuyuzGFOaoqCFBZXDPYa/fxdHEz+svCm6f9PGZbX6/FP3+2FZ9P4W//sZFdO7NcdU2El3dk+NV9/VRV63zsU/XougyCs6klk+U77T0czZn4VZX31lXxhsoonz/Szo5Ulp3pLHFd5511lWyOhkqVb0mSJEmSJGnuk2GwzMZrIONkHQA8AS86yqRrBl3TxOrqxLd8xbQqYjsyuwA4L7Bm1OVxvQIFhS6zmw6rk5gWZZV/5ck9mVniuoJvfb2LbMYlm4F//1wbyYSDP6Dy4x/0oGnw0U/WyS0kZlHKcfhJZx9/HEgAcEUszDvqKokVu9d+oL6JTPJcAAAgAElEQVSGO9q6WBMKcGNVDK8q93WUJEmSJEk628gwWGbjVU5EtlAm9Aa9aMUwOFFl0OrsACHwNEw9RRTg5ewreBQPy31LR12uKzoVWox9+QMAXBe9prjtxZn3u/sHadmdIxrTGBp0SCYKYfk73+zCceA9H6hm8VK559xMGrRsosVun88MpfhBZy9DtsM8r4cPNVbTFBg99bPOa/BPS6a3ZlWSJEmSJEmam2QYLLPhat7IaaLkXAC8fh+aJXBQUdXxt0kodRKdN/UH8UF7kGNmK2v8q/CoY5t5VBqV9DsDAGwOX3QyT2PWtLeZ/PzefiLRwgby//T3x5i3wEvr0TyOAxsvDnHVNRNPoZVOTsZx+WFnL48MJLiyIkK/ZbM9lcFQFN5RG+fGygr0cda5SpIkSZIkSWc/GQbL7HhlcMQH7GzhJBD0oQ0KHCb+8G22F5vHNEwdBl/O7gZgTWDVuNdX6XH2ATV6Ncu8S8e9TTk5juDb3+jCtgTv/1A18xd6+af/nE9VtcEP7uymo93izz5cIxvGzJDtyTTfau+hzyqsWX20OCV0TdDP/2iooc5rnMnhSZIkSZIkSbNMhsEyG+4mOjLOKLnCT/5gAH1QYDPxdE2ruxMAT139lMd6OfMKAKv95457/XBH0UvCF82JgPW7+wc5eCDPxZeGOP+CEEBpI/k//8s6hBBzYpxnu4zjcHdnH48OJNCAt1ZXsCLg597uPq6rjLE5GpL/nyVJkiRJkl4DZBgss9KH7BHTRLWciqO6GIaCjiA/yf2tri4Uj2fanUSDapBF3gXjXr8huJ5d2T1zYqP5tlaTX9zbRzSm8e73V497GxlQTt/OVIZvtnbTb9ss9Hn4i8ZaFhW3NFkXnjvbikiSJEmSJEmzT4bBMlPHWX+l5TRMj4kggw5YE9xXCIHZ1YlRU4syRffGPrufHruXDYHzJmwMs9K/gv+Y/7mTfAYzTwjBD77djW3D+z5YTSgku4TONMsV/KSrj9/2DaIBb6uJ8+YquR5QkiRJkiTptUyGwTJTx5kmauQ0LJ+N46TQARt33CmRTjKByGUxauqmPE5Ldi9QCHxngm0LhgZtKqumXnf25ONJ9u7JseHCYGl6qHR6bKDfsokbOq05k9tbOzmSM6n3GHx8fi1L/LIbqyRJkiRJ0mudDINlVqrojZgmauQNspEcjptCRyAABwf9hL8eq6uwXtCoqZ3yOHty+wBo8p2ZMPi9b3Xz3DMpvvDfC6mIT/xrlko6/OxHvXi9Cu96X1UZR/jqdSib53tGiPTeI9xYFeP+3kEsIbiqIsJ766vwyT0BJUmSJEmSJJikU4k0K1TGqQyaOo7XLVUGAUwxdrKo1d1VuH3t9CqDhmKwxLfoNEc8uX0tWR5/ZGjUZW2tJk8/kcS2BHv3ZCe9/70/7iOZdLn5bfFpVRFf6/KuO+F1Qgh+3zfIPx48xqCqYQnBL3oG8KoKf7Wgjg831sggKEmSJEmSJJXIymCZqapSLAoW4qBt2+iOjutxsd3jYdByLVBHb/RdqgzWTl4ZTDtpjpqtrPStQFdm76/YtgX//rk2ANatDxKrKBzrNz/vRxQrnwf25bjokvC499+/L8fjjySYN9/DG66Pzdo4Xw1cIfhpVz+/7h3gQw3VXBWPjro+67j837Zunk2kCGsqb8gl6auuI+O6vL++mrgh/6lLkiRJkiRJo8lPiGWmKIUwOFwZzOUKvUNdj8Bx0gy3TrHGqwyWpolOXhncmzuAQMz6esEXn0uVzh85nCdWodPeZvLcMynmzffQ0W5yYH9u3Pu6ruCe7/cA8J4PVKPrspHJRHKOy9dau3gxmQbgp139XBILl6p87XmTLx3tpDVv0hTw8Yn5dRzasZ1b5009nViSJEmSJEl67ZJzxsrsxDWDZq4QloRHFKeJFq4Yf5poJ4puoMcrJz3G/twBAFb4ls3QqMf30IODpfNHDhdC7a/vK1QF3/L2OPMXejlyKI9l/X/27jtMsrJM//j3nMqd88z05BngkNNIDmJAggQRxZwwuxh+poVdXV0VXV10RRQD7ooRUEARkSQ5h0HSAAcmT3dPz3QOlavO+f1xqqq7Ok31dJih+/5cF3ZVnVBvd5fX1fc87/u87qhrH39kkI0bkhx9bAXWAZFRx8XTkUrzH5taeHIgykHlEU6vr6Yvm+X2Lm9q7hP9g/z7hm20JFOcUV/NV1cuVhVQREREREqivxpnmWlClqHKYDKZAsANQtYZJL9qbmRl0HVd0u3t+JuadrmtxIbkJgBWh1dN48iLbdyQYOP6JMtWBNm6OcWWTUl2tqd57JFBli4PcsSactY9G2fzxiTbtiRZtc9Q98pUyuFP13Th98Pb3z1xsJ3LElmHrckk+5WNHYbtaJzvb22nP5vl1LoqPrCokZTj8EDvAH/t6GEgm+Vvnb0EDYOLlizgxJqxp+OKiIiIiIxFlcFZVtjzL1csS8ZzW8yHjKIGMiPDoBOL4sRjBBqbJry/67psSGykyd9IlW/mwsFdt3uVqQve1UBlpcnWzUlu+3svrgtvPqcWwzBYva8XADe8UjxV9I5b++jqzHDqGTU0Ns3PpjG96Qz/vnEb/7GxlUf6BkYdf6B3gG9ubmUwm+XCRY18uLkJv2FQ5vNxbkMtUcfhb529NAX8fHP1EgVBEREREZk0hcFZNnLT+XTSC31GyCDrxMZdM5jp6gIgUN844f13ZjoYcAZZHV45PQMeQ39fhsceHmBhc4ADD4mwbEWIjp0ZHrinn/oGP0cd6+0VuHrfEFAcBvv7MvztL91UVJqc9ZbaGRvjSK47eqrqntKZSvP1Ta205n73N+7swcmNz3Vd/tLRzU9adhAyTC5Z0cyb6oubxZxWX83qSIijq8r59j5LWR4Ozfr3ICIiIiKvfpomOstGbjqfTqQJAkbQwHHiBHJHUk6q6LpMdycA/vqJp1VuSHhTRPcJzdwU0Xvv7ieTgTe+qRrTNFi+MsS65+Kk0y6nn1WDz+d9D00LAlRUmkVNZG66sYdE3OW9H6qnvNw33ltMq4zr8t3NbSQcl2+sWoxh7LlmNduTKb61uY2udIZzG2rpSqd5sG+QpwaiHFlZztXbO7mju4/6gJ9LljezJBwcdY+QaXLp6qV7YPQiIiIiMpcoDM4yk+JpoulkmiA+zJCJ48QIGEFws+NWBnfVPGZDciMAq2aoMug4Lvfd1U84bHDCyVUALF/hVabKK0xOPqWqcK5hGKzeJ8wz/4zR15shk3G5764+Gpv8nPKG6jHvPxOu29HFc1Fvv8P18ST7loV3ccXM2JJI8u3NbfRlsrxrQT3nNtbSkkjxUN8gN+zs4b7eAZ7oj7IsFOTiFc1qBCMiIiIiM0rTRGfZyMpgNpHxXg/5yDpxgoZXCRrZTTTdnQuD9Q0T3n99YhMGBitDK6Zv0MOsey5GV2eGY46vJFLmfXysAyKUl5uc89Y6QuHij1R+3eDG9Ulu/ksPmQyce37drG0lsbY/ys2dvURyTXce7B29Pm82rI8l+MamVvoy3hrAcxu9KbJLwkGOripnUyLJE/1ex9Cvr1JHUBERERGZeQqDs8wwin/kmaQXBn0hH1knRsD0wuDoymBumugElUHHddic3MKS4GLC5tTXkXV2pOnYWTyO++/xwtTJrxuqANbU+vnxL1dy2pmjN47PdxF99OEBHrinn4WLAhx34uw0O+lIpbmydQcBw+CrK5up8vl4pG+QzCyvH3wlluDSza3Esg6fWtw0ag3g+U11REyTE6sruHh5M2W+2Zk+KyIiIiLzm8oPs8z0jagMJrMA+EImrpskaHghblQY7O4Cw8BfM37TlR3pnSTdJMtDU19P5jguX/z0FgCuvtbbr7C/P8tTT3gbyq/apzhsjrcOb9U+IQwDHnvY26D+3PPrCmsKp9POVJo6vx9/rvKadV1+tK2daNbho82NrIqEOa66gtu7+3huMMYRleXTPoaxbIgn+E5uveKnly7g+OrRQXhZOMRV+68sjF1EREREZDaoMjjLfL7iNYNOPgwGvReCpldJGzlNNNPVib+2FsM/fn7fktoGwIrgsimPc/3LQ01fBge9MT7ywADZLJz0uqqSm7CUlflYtNirdjYvCXLM8RVTHttI/xyI8tmXt3B9R3fhtT939PBKPMnx1RW8vtarYua3X3hoBqeKuq7LS9E4iazDpniCb29qI+44/MuSsYNgnoKgiIiIiMw2VQZnWT595//0d5IOAL5QcRgcXhl0HYdMTzfhVasnvPeW5FYAloemHgYfe2Sw8LitJcW+Vpj77unH54PjJznNc9/9wrS1pDjvbXWjttaYqlg2y1WtO3Hx1gO+o6mO9fEkN+7spj7g58PNjYXguk8kxIJggCcGoiQch7A5/f8Wcv3Obm7o6MEqC9OaTBFzHD65uEn7AIqIiIjIXkdhcJaZIwKIm/JCoBlwcIGQGQGKt5bI9vWC4+Cvm7h5zFAYnNo0UcdxeeqJoTDY2pIiGDRoa0nxmmPKqaya3Jq28y6o4+DDynjN0dM/NfN37V10Z7KUmSad6QwvxhL8IhcOP7W4ifJh6+8Mw+CE6gpu7Ojhyf7otAe027t6uaGjBwA7lsAAPr64iZNrqya+UERERERkD9A00Vnmy4VBI1cbdJNeGPQHvamYwVwYHF4ZTOebx+yik+iW1DZqfTVU+aYWPjZvTNLTnaV5cQDwKoOPPOSFwxNOmvy9a2r8HHVMxbTv7/fsYIy7e/pZFg7y0cWNAPxg63baU2ne3FDDQRVlo66Zqamij/QNcPX2Tqp9Pi5c1Eilz+SjzY2coiAoIiIiInspVQb3lHxDy1wY9AUzpIGQ6VXPhofBTPeu9xgczA7Slenm8LJDpzy0Jx/3gt9Z59Xxix/voGVbiu1tKcrLTQ45fHTA2hMSWYdftO7EBD6xuInFoSAhw2Aw67AsHOQdTWP/rJpDQVaFQzwzGKM3k6FmgjWYu7I9mWJhMMDz0Tg/btlB2DS4eEUzKyMhTq0rfV2liIiIiMieoMrgLBuqDHqM3GxQf8ALf8GxwuAYlcFNyS3sTHcUnm9Jes1jlgenNkXUdV2eeiJKMGTwmqPLqW/w89ILcXp7srzmmIpZ2x9wV/60s5vOdIazG2pYFQkTMk2Oqa4gaBhctGQBgQnWJp5UW4kDPNQ7OO45u/K3zh7+3ytb+VHLDn6wdTsG8IVli1gZ8bqsKgiKiIiIyN5OYXCWBQKBoudGygsNvoCXCsM+LwymiiqDXpdMf10dAFk3y3+2fIerdl5dOCffSXSq6wXbWtO0b09zyGFlBIMmi5cEyW/Ld+wJ098JtBRpxxtAwnFwXJctiSS3dvXSFPBzflNd4byPNjfxY2sFy8IT77F4QnUlPsNb4/dkfxR3kvsOPtE/yO/bvWrtI32DJByXi5Ys5OAxpqWKiIiIiOytSpojZ1mWH/gM8DZgCRAecYpr2/aCaR7bvGCkc2HQ74W/sOkFrqSTLJyT7esFKOwx2JXpJuEm6Mp0Fc5pTbUBsCS4eErjWZtrHLPmKG8czUuCPPt0jNo6H9YBkSnde3c8NRDlsi3b+VBzI3/c0cWaynLaUmkc4EPNjQSHNeQJmAYBc9fNbar8Po6oKOfJgSiXbd3OZ5cu4LgJtn0YbkM8wRXbdhA0DY6rquDe3gE+uKiBY6v3TFAWEREREdldpS6Yugz4NHAH8AiQmvh0mYgLGLlilJHJbUJveOEv7PNCRcod+hFn+nrBMPBVes1IOtLetNGBbLRwTmuqDQODRcGFUxrbU09E8fngsCO9KteSpd4egcccVznt20LsStpx+d6W7QD8b5s3JfbeXOOXo6vKp7Rx/Otqq3hywPv5/aO7v6Qw2JXO8N9btpN2Xb64dBFHVpbxroX1VE9h3aGIiIiIyJ5S6l+x7wC+Ytv2d2ZyMPPF8EmJZsYg488AuTCYrwy6w7eW6MNXUYmR2yZhZ8YLRoPOII7rYBomrak2FgSaCBjF01Ano7c3w+aNSQ48OEJ5ufdeRx9XQU93htedWr3b991dd3b3jfl6yDR4/8KJO6vuypGVZVyyvJlrd3SxLhqnPZlmYWj8n13Kcfj+lu30ZrK8f2EDa6q8IKogKCIiIiKvVqWuGQwBj8/kQOabfI3NzJhk/FkcNwGA3xchYASKp4n29+Grrik8z1cGXVxiToz+bD8DziCLg81TGtPzz8QAijqGBoMmZ59XR0XF5PYWnKpoNsufO7opM01eX1uFD/jgogZM4N0L6mkI7n7oBa/By2GVZZxR74Xce3r6xz3XdV1+2dbBxkSSU2oqC9eIiIiIiLyalRoGrwHOmsmBzCcjK4NZfxbH8cKgaYYJGcFCZdBJpXBiUXzVQwEkXxkEGMgO0pJbL7g4sGhK43r2aS8MHnr49G8OP1l/7ehhIOtwbmMtFzY3coW1gtPra7j6wFWcVl+z6xuU6NjqCspNk/t6+8mM00jm1q4+7u8dYHUkxIXNjeoUKiIiIiJzQqlz3O4BvmdZVh3eusGekSfYtv336RzYXJdfM+hLm2T9Do7rVQJNI0zQDJFyvDCY7femSvqrhsJgvjII3lTR6Wgek826rHs2Rl29v7DZ/J7Slc7w964+6vx+zqivxm8Y1AW8j+rwhjHTIWianFhTye3dffxzIMpRVcWNYJ4fjPG79k6q/T6+sGzRtL+/iIiIiMieUmoY/GPu6wrgfWMcd4HZnUf4KlZUGcz6yIQywyqDIcJGkKjjVenyYXB4ZXB4GBzIDtKa8pqsLA7ufmVw04YE0ajDUcdW7PHK1592dJF2XS5YUDcr4ev1dVXc3t3H3d39RWGwM5Xm8m3tGAZ8funCQiAVEREREZkLSv3r9oAZHcU8lI9bvoxJstzBcRIYRgDD8BE0Q3RnvO0k8ttK5NcMpt00Pdnewn28MOhVBpunEAbzU0QPOWzP7pXXmkhxX+8AS0NBTq4pbbuHqVoeDrE6EuLpwRidqTQNwQAZ1+VHLTsYyDpcuKgRq3z2t9UQEREREZlJJYVB27btmR7IfDK8MujP+HBy00RNw9u+MWSESLpJXNf1tpUA/Lkw2JnuwsWl3Cwn6kQZzIXBen8dEXP3A8tzz8Tw+eDAg/dsGLyhoxsXuGBBHeYsVijfUFvFhngH9/YO8LamOq7b0cXLsQTHV1dwal3VrI1DRERERGS2lDzvzbIsH3A+cBJQB3QD9wM32radnZnhzV0G4DgOvowP1+/iOAlMMwRAyAji4pJ202T7ctNEc2sGd2a8KaKrQit4Lr6Ozkw33dkeDo4cuNtj6e/PsnljEuuACJGyPbcmrjWR4pG+QVaEg7xmCnsI7o7jqiv5dXsn9/T0syIc4ubOXhYGA3ykuWmPT5sVEREREZkJJf3lb1lWA97WEtfiBcIDc1+vAx6zLKt+xkY4B+Urg9lsFtM1cQL5MJirDJreRu8pNzUUBnOVwfx6wVWhFQBsSG4EYGFgwW6P56V1MVwXDj50z06FzFcF39ZUN+sBLOIzOaG6kq50hh9u207AMPjc0oWU+dQwRkRERETmplL/0r0MaAZea9t2s23bR9i23Qy8Nvf6ZTM1wLnKcCGdTgN4lcER00TB23h+1DTRXGVwZXg5AJuSmwFYGGja7bG89EIcgP0P2nNTRIdXBdfMclUw7011XvU148IHFjWwIhLaI+MQEREREZkNpYbBs4CLbdt+YPiLuef/Bpw93QOby/KVwXRqKAy6browTTSYqwwmnaTXQMY0MSu8LpfdGW9Xj2XBZd493Aywe5VBN7ev3ovr4oRCBitW7rnwsyergnkrIiHeVFfNmfXVvKFW6wRFREREZG4rdc1gGdAxzrGdueMyCQbDwmDAC2WFaaJGLgy6Kcz+PnxV1Ri5LRbyYbDBX0eZGSHmeFW9BZMMg+1tKS7+/Fbe9q56trelOfiwMvz+PRPC2pJ7viqYd2Fz4x59fxERERGR2VJqZfBp4CLLsorOtyzLAP4F+Od0D2wuK1QGc9NE8efCYH6aaK5CmHK8aaL+YXsMdmd6qDQrCJpBKsyhPfEWBCYXYu6+01uLeP01XQAccOCeWy/4t85eXOC8xj1XFRQRERERmW9KrQx+BbgNeNmyrBuAdmAB8FZgOXDazAxv7iqqDPodgKJuogCJ+ADlyWShkyhAT6aHxlzwq/RVsDPTQZ2/rjC1tFTdXZmi5/vvoTDYk85wf28/C4MBjqras1VBEREREZH5pKTKoG3bdwOnAC8DnwS+n/v6Cl5TmXtnaHxzkpv7n0w6F8gKlcH8mkHva2Ygt+F8pbd+LebEibsJ6vy1AFT4vMrgZJvHuK7LhvWJwvNw2GD5LK8X7M1kSGQdbuvqJePCWQ01s7qvoIiIiIjIfFfyPoO2bT8MnAnenoPaW3BqDCCbymAA5CqDRq66l+8mmh7sByg0j+nJrRes83udRSt3Mwx2d2Xo6R769e23f2RW1gumHIe/d/VydFUF/7GxheXhEJviSap8Pk6uqZzx9xcRERERkSElh8HhFASnZqibaIYgQL6BTG56aH6fwezgAAC+8uJOorU+rzJYmVszuGCSYXDj+mTR89maInpndz/X7ujm7519DGYd1kW95jcXNNURNLWfn4iIiIjIbBo3DFqW9UfgEtu2N+QeT8S1bfsd0zu0uc0AnHTWe5RfM2gUrxnMRqMA+Cq8qll3oTLohcEqnzd9dLLbSmzc4E0RPeettTz28CCvOaZiF1dMneu6/KPba1rTnx36t4SQYXBqXfV4l4mIiIiIyAyZqDK4FMh3JVnGUEFLpij/g8ykMkAAY5xpouTCoDmiMpgPg6+rOgkHhzXlR0zq/TeuT2AYcMbZtbz1gvopfCe7time4L+3bOd1tVVszzXMAVgVCbExnuQNdVVU+n0zOgYRERERERlt3DBo2/Zxwx4fOzvDmT+8yqAXAocqg14YzHcGdaMxAHwVXpfNnmw+DNYBUOOv4fy6cyf1vtmsy6aNSRYvCRKJzPzUzFs6e+nOZLmhwxv7G2ureLR/kIuWLCDhOCwL77mN7kVERERE5rOS1gxalnUBcKdt2z1jHKsB3mTb9q6mkg6/5lPAl4BFwDrgc7ZtPzDB+UG87S3eBzQDO4DLbNv+UanvuTfJdxPNpr3pkoXKoFFcGTRya+rMcaaJ7o7WlhSppMuqfcK7fY9SRbNZHuuPFp4vDwf5cHMjH1k8uTWOIiIiIiIy/UotDV0D7DvOsdW54yWxLOsdwOXAt4EjgIeBWy3LWjbBZdcCpwMfAyzg7cCzpb7nXscYvmYQjID3dWQDGTPmre0baiDTS8DwU2Hu/n58G1/x7rlqn5mvyD3UO0jadclPAj21rlqbyouIiIiI7CVK7SY60V/wNcDgJN7z88DVtm1flXv+acuyTsfbt/CSkSdblvUm4A3Aatu2O3Mvb57E++118msGnbT3yChsOl9cGTRjXtdP37CtJWp9tVMKVBs3ePdcPQuVwXt7+jGBTy9dyLODMU7S9hEiIiIiInuNibqJngqcOuylT1uWtX3EaWHgNOCZUt4sN91zDXDZiEN3AMePc9lbgCeAz1uW9X4gDtwK/Jtt25MJoXudZLwDqCLrdgHDponmNp33R1Pg82GEI2TdLL3ZPqzweAXa0mxcnyAUMli8NLjrk6egJZFiYyLJEZVlHFtdwbHVM9+xVERERERESjdRZfBQvDV64BWzzgDSI85JAS8CXy7x/RoAH96av+F2AG8c55pVwIlAEjgfrxJ5Bd7awbft6g3Xrl1b4tBmj0EIA0jEWoHVZNw2AOyXNuA6UdJkoBrMwQROMMRTTz3FoBHFrXJx+53d/p5SKWjZVkXzkiz//OdT0/cNjeEBXwj8YRZ3d7K2c+S/Ichs2Bs/+zJ36PMlM0mfL5lp+ozJTHo1fb4m6ib6feD7ALmK4Jm2bf9ztgY2jIkXRt9t23ZfbjwXAbdblrXAtu2RwbLImjVrZmGIk/MUzwNguLkfv8+bJnrgQYcRDi7BdV2MDT8jnHAI1dSw35o1bEluhW2wonE5axp373t6cV0MaOOwIxpYs2b/6fhWxuS4Lr96eQvhbJa3H3YwIW0oP+vWrl27V372ZW7Q50tmkj5fMtP0GZOZtDd+viYKpyWtGbRte9E0jaUTyAIjd0lfALSPc812oDUfBHNezH1dxugq417PJbcIM+uFJMPMAEMNZAzDIEiAYDyOr9mbXtmX7QeGNprfHVs3pwBYsXLyzWPSjouLS3CMYJdyHP7Q3sVJtZWsjoR5OZagM53h5JpKBUERERERkb1USX+pW5b1CcuyvjnOsW9alvXRUu5j23YKWEvxWkRyzx8e57KHgGbLsoYvOtsv93VLKe+718qFQdNXvM8gQGU6gOkObSvRnwuD1VMJg1u85jFLl08+DH5/63Yu3rAN13VHHXuyP8pt3X1cuqmN37d3cn/vAIAaxoiIiIiI7MVK7Sb6aWC8Pf22AJ8Frhrn+Eg/AH5rWdbjeEHvE3jr/34GYFnWbwBs235/7vw/AF8FfmVZ1tfx1gxeDlxv2/bOEt9zr+IChgs4uSyeC4OGORQGq+Ler8ZX7m0j0Zf1AtaUKoNbkgSDBgsXBSZ13WA2yzODMVygI52hKVh8/aP9Xh+fmONwc2cvJlDr93FQeWS3xyoiIiIiIjOr1Dl8KwF7nGPr8Zq8lMS27euAz+FtIv80XnOYM23bzlf5luX+y58/iNdcphqvq+gfgfuAC0t9z72VkfV24DPN4n0GAaqTuTCYqwz2ZbxZsrtbGcxkXNpaUixZGsQ0J7c1xbrBeGE7jI3xZNGxpOPwzECs6DUHOL66ElN7CoqIiIiI7LVKrQwOAivGObYCb7uHktm2fSVw5TjHThnjNRt402TeY2/mkkvhucqg4XMAE8MY+nVUxHNTSHMbzvfnKoO7GwbbWlNks7BsxeSniD47OBT2NsQTRdtEPDMQI+m6VGT61IgAACAASURBVPpMBrJO4fUTNUVURERERGSvVmpl8E7gq5ZlLRz+omVZC/AqfHdM98DmtFzBzMivGTSzmEZxSCuPeyeZFflporkGMv7dC4PbdmO94N3dfdze1cszgzEipoEBvBCN88xAtHDOY7kpohcvb+a/Vi9lWSjI6kiIFeGZ3cdQRERERESmptTK4CXAo8B6y7JuA9rw1vmdBvQBF8/M8OamfDdRY1gDmeHrBQHKE14YdMvCgNdAJmD4iRjh3XrPrZu9MLhseWkhLeO6/KKto/D86KpyWpIpNsSTfGfLdi5evoiDK8r450CMhoCfVZEQhmHwjdVLAK8jqoiIiIiI7L1Kqgzatr0VOBz4ObAaeEvu68+AI3PHZZKMwjTRLKZR3JQlEvdW6WXLvUpeX7afKl/VboesrVu8bSWWLCutMrhpxNrAQyvKWB0ZCqKvxBLY0Tgxx+HIyvLCuMKmSVjbSYiIiIiI7PVKrQyS69z5hRkcy7wxqjJoZouaxwBE4t76u0xZENd16cv2szS4ZPfez3XZuiXJgoUBIpHSgtqL0eJloIdWlLEjlS4835xIEnO8Ma6pLN+tcYmIiIiIyJ5TchgEyK0ZPByv2+cNtm13WZZVDwzk9hCUSTCcXDdRn4MxIgyGEl5lMBX2kXATpN001b7da8rS050lOuhwwIGlb/XwwrAwuDAYoCkY4I111TzcN0hXOsPLsQQtyTRh0+BAbSEhIiIiIvKqU1IYtCzLD/w38EkgiFfcehLoAn4FPIvXSEZKNLwyaJhOUSdRgGDSC4PJ8NT3GCysFyyhk+ijfYOYBtixOPUBP7V+H8dXeyF0QTDAT6wVXL6tnUf6BhnIOhxTVU5gkltViIiIiIjInldqZfBS4EPAx4G78Taaz/sb3sbxCoOTlA+DPjOLMWLNYDDpTcGMBV2c3B6Dux0Gt+abx0wcBjOuyw+3tReeH1ddxscWN406b99ImEf6vC6imiIqIiIiIvLqVGqnj/cCl9i2/Wu8TqLDbWQSm86LV1bFHWog400TLc7l/mSGtB/iRor+3LYSNbsZBlu3eTN4Fy+duJPolkRx05jxpn/um+twagCHKwyKiIiIiLwqlVoZrANenuAek1p7OO8ZuWmijoljuJimO6qbqC+RIRmCuBMn63pVwt3dY7CtJUUoZFDfMPGv6eVYouj5AeOEwRXhEBU+k5XhEFV+326NSURERERE9qxSQ9zLwBuBu8Y49lrg+Wkb0Tzg5r6aWRPHzAKMqgz6EmkSQYO4EyfheBW73Zkmms26bN+eZunSIOawtX3rBmNU+/0sGbY5/PAw2BTwUx8Y++MRMA2+u88yQlorKCIiIiLyqlVqGPwh8HPLsuLAH3OvNVmW9VHgs3jrCWUSCpVBn1f1G7lm0EimSdZC3EkwkPXW51XtRjfRjp1pMmmX5iVDoS/hOHxzszfb99qD9ym8ng+DfgOO3MX0z/GCooiIiIiIvDqU9Be9bdu/siyrEfha7j+AW4Ak8J+2bV83Q+Obk4Yqgz6ypuMFw2Fh0HUcjGSKZMgk7sQZdLwwWGlWTPq92lq99YLNi4fC4NZhawNd18UwDDpTabrSGY6qLOe9ixqo1fRPEREREZE5bTKbzn/PsqxfACcBjUA38IBt210zNbi5zABMx8TxZfEB5rBpok7Cq9Alg15lMJqNAlDhm3yzlraWXBgcVhncHB/aErIznaExGOCVuPee+5WFWRAsrlKKiIiIiMjcM6m5frZt9wI3z9BY5o18ZdDImjimg4/iyqATjwEUGsgMZqP48BEydr1PIMBTTw6yfEWI+oYAba1pAJoXD91/87DKYEsyRWMwwPqY99o+uU6hIiIiIiIyt40bBi3LOnMyN7Jt++9TH848kesmamZ9w9YMDq8MxgFIhrwGMlEnSoWvHMPYdcOWHe0pfnRZOyedUsmHP7GAttYU/oBBY9NQGNwyIgweUVnOxngCA1gZLi1wioiIiIjIq9tElcG/4RWxSmkZ6QJaZFaiwppBxyQT9Cp3w8Ogm5uymQwZxJwEg06UihLXC7Zv9+63Y3sax3Fpa02xqDlQ6CTquC4tiRR+AzIutCZSOK7LxkSSxaEgYV+pW0+KiIiIiMir2URh8IBZG8U8ZAC+rEmqsLXEsGmiCW+aqBPyE3diDGajLAwsKOm+HTu9MNjZkaG7K0Mq6RY1j+lIZ0i6LsdWVfDEwCDbkinakmmSjsuqiKqCIiIiIiLzxbhh0LZtezYHMp8MrwyOtbWEE/emiTrhED2ZXhwcys3Smsd07MwA0NOToTXXPGbhoqF7b8tNEV0ZCdGaTNGaTLE+V4lcrTAoIiIiIjJvTKqBjGVZRwJHA8uAH9u23WZZ1qFAi23b3TMxwLnKwGsg45peGCzqJpoLg4SDDDgDQOmdRPOVQdeFF5/37rNg0VBlcFvCC4hLQkEWh4JsS6Z4ot/rVroqouYxIiIiIiLzxZgLxCzLKhvxvNKyrD8DTwI/AP4VWJg7fAnwlZkc5Fzj5lZhmo4PxzfGNNFcGDTCQ+GsouTKYLrweN1z3nTThQuH7r016YXBZeEgS8NeSHx6IIoPWB4eCo0iIiIiIjK3jdct5GHLspYOe/59vIrgKUA1xU1lbgfeNCOjm8MMwJ/1FSqDY3UTNSKRwmsVvl03kHFdtygMbtvqBb8FC4dPE00RMQ0aAn6WhLzwlwWWhkMETTWPERERERGZL8b76/8h4AnLsk7IPT8PuNi27fsBZ8S5W/CmjUqJXIZ+8ENhcHRl0AwPhcFys6hYO6bBAYdE3CUSGfq1lleafLO9jUf7BtkQT7A9mWJJKIRhGIUwCKh5jIiIiIjIPDNmGLRt+1+ADwG/y71UDuwY5x6lzV+UIvl9OMZsIJOrDPrLhn60pawZ7OjwqoL7HTBs7V+dt8n8D7e18+8bWnJVQC8ELggF8OVqvGoeIyIiIiIyv4w7L9C27VuBNbmnzwJvHefUM/DWEkqJ3OGPc2sGx2ogEwgPBcDyEvYZ7NjhhcH9D4iQ358+2Dj6V7wsFwb9hkFz0Hus5jEiIiIiIvPLhN1Eh3UI/RZwk2VZQeA6vDxzuGVZ5wMfAd48o6OcwyaaJhooqwCvB0yJlUFvW4lFzUFqan30dGcx60eft3TY9NBjqysIDUQL1UIREREREZkfSuoYYtv234D3AKcCt+L1P/klcCHwAdu2/zFjI5yD3GHtd1zfOA1kDINQuLLwWin7DOYrg41NfhoavXAZqx65xNNrFpN3flMd31q9FL9hjDpPRERERETmrpLbR9q2fS2wHDgMeCNwJLAk97rsJtfMby1RPE3UDEeI+IaaxpRSGezq9MJgfWOAxiYvDPbVjA6DVX7fqNdERERERGR+mdSm87ZtO8Bz+eeWZUWA+HQPaq4rXjM4dgMZMxKhzBxax1dKN9GuzgzlFSbhsMnZ59XSsNLPHxt7is7xqQAoIiIiIiKUGAYty/ogUG3b9uW55wcDfwWWW5b1EPA227Z3ztgo57ChymDxmkF/VTXhXBgsMyP4jImrea7r0t2VYcEi7z6LmoMsrwjDVnhHUx2n1dfQmkxRq6qgiIiIiIhQ+jTRLwCZYc+vAKLARUATcOk0j2tOG75mkFxlMN9N1HVdnHgMIxIhYnr7DJayXjAadUgmXerqh/L9jpQ3bXRRKEiZz2TfsjANwcB4txARERERkXmk1Gmiy4EXACzLqgdOAs6ybfs2y7K6gctmaHxzXn6aaD6Xu+k0ZLO5aaJeGCxlvWB3l5fV6+uHwl57LgwuUAAUEREREZERSq0MOkB+74HXAWngntzz7UDDNI9rTgvQDuZLACT6annp2UN44N4UnR1p3EQCgLQR4vkHfJgv7Eewe8Eu79nV6YXBuno/acflzu4+WpIpQGFQRERERERGK7Uy+CzwMcuy1gP/Atxj23Yyd2wZoPWCk9Bs/NKL1ol/o/eF/bjnhYOAOH+pauEH3/KqgU8/5/CXJ+IEuYAtALvo2VqoDDb4uXZHF7d09QJQ5fNR5iu5aayIiIiIiMwTpYbBrwA3Ay/jbYN+6rBj5wCPT/O45gm3qLPoQH8WJ+ll7HhmctW8wrYSDX7uSPQXXldVUERERERExlJSGLRt+37LslYAB3pP7c5hh6/BC4kyacVhECiEwRSTC3H5ymBdvR9zYOh1hUERERERERlLyfsM2rbdAzw0xut/ntYRzSsODsUb/7kpLwym3eBYF4yruzODYUBNrZ9U/1DEXBhSGBQRERERkdG0mGyPGl0ZdHOVwfQkK4NdXRlqa/34fAaduS6ioMqgiIiIiIiMTWFwj3JwRr5SCIPFlcFUauSZw65xXHq6M9Q1+IlnHXoy2cKxCjWPERERERGRMSgp7FHjrxlMu8UVvVh0/DDY3Z3BcaAllOJDL27EBcKmweEVZRxUHpnmMYuIiIiIyFxQ8ppBmQmjK4Nu0ttnMDWiMhiNOtTUjn2XR1u8jjGD5UN3O7O+hgsW1E/bSEVEREREZG6ZdBi0LCuMt7fgZtu2U9M/pPlkgsrgyDA4mGU8vT3eMbdy6LVGrRUUEREREZEJlDxN1LKscy3LehaIAi8CB+de/61lWRfO0PjmuLEqg2NPE40Ojj9NtKfH21bCrRh6rSGgoq+IiIiIiIyvpDBoWdYHgBuBtcAHoGg/hGeA903/0OYBY4zKYGrsyuDgBJXB7nwYHF4ZDKgyKCIiIiIi4yu1MngxcJlt2x/C22R+uBfxNqOXSXPG3Vpi5Kbz0ej4YbC/N3dMlUERERERESlRqWFwJXD7OMdiQNX0DGe+ccffWsIduWZw/GmisV7v2PBpon7TGOdsERERERGR0sPgdmD/cY4dAmyZnuHMN6OniWbjXjfRUQ1kJthaItXv4IaAIBxSHuGS5c3TPE4REREREZlrSg2D1wJftyzr5GGvuZZl7Q98GfjdtI9sXnBwKK7gZRP5NYMBjj2hgi9e4gW7sbqJZrMuWzYnyfaDvwq+tGwRl6xo5rDKspkfuoiIiIiIvKqVurDs68ChwD1Ae+61m4BFwB3Af037yOaFsbeWcA2TLD5WrAqx3wFhYOww+Kc/dHHbLb0AhJpN1lSVz/SARURERERkjigpDNq2nQTebFnW6cCpQCPQDdxp2/YtMzi+OW701hJOMonrDwEG4ZBJMGgSCBhF00Qdx+Fjn9lEpnMoSkaqS94lREREREREZHKbztu2fRtw2wyNZR4aXRlM9MdxcnsMhsJewCuvMAsNZLZ1JfnTP7qKgiBAZY1vxkcrIiIiIiJzx7hh0LKsSS08s207NvXhzDejK4PJwURhw/lwPgyW++jN7SX4jW+3kG4dGSGhplZbSYiIiIiISOkmShCDMKpwNRGVpiZtdGXQT5o4Xg4PhbzmMuUVJm2tDjdc1zVmEASoVxgUEREREZFJmChBfIqhMBjA6xo6CPwZ2AEsBM7D2+r8uzM4xjlsdGUwQIZ07tcyNE3Uh+vCzX/uGfdOTfUKgyIiIiIiUrpxE4Rt2z/LP7Ys6zLgSeB827bdYa//O3AjsGomBzlnGS5uUaHPwW9kyBSmiXqVwYqKXTeHWVQf3OU5IiIiIiIieaW2oHw/8IvhQRAg9/znwPume2Dzg1M0TdSPty4wM7KBTPmuZ+AubVQYFBERERGR0pUaBsPA8nGOrQRC0zOc+aZ4zWAgFwbz00TzDWQqqiYOg9kvQU1Y00RFRERERKR0pSaIm4DvWpY1ANxo23bCsqwwcD7wndxxmTS3aM2gnzQAGYorg5WVY4dBNwjpt0JdhR/DMGZ0pCIiIiIiMreUGgYvAiqB3wGuZVmDeI1jDODm3HGZNBeXoRDnN7wwmN9awp/77VRVjx0Gk58BwlDjVyNXERERERGZnJLCoG3bfcBbLMs6FDgWWARsBx6zbfuZGRzfHFfcTTQ/TTRfGcxX+yrHmCbqX2gQiUDcdan2a4qoiIiIiIhMzqRShG3bzwLPztBY5iF3RAOZXGVwxK+lasQ0UV8IfvnD1Xzxla20JFOqDIqIiIiIyKSV2kBGZsSIyqBRvGYwb2RlsG4f73h9wAuNCoMiIiIiIjJZCoN7lFcZdBogdcHwrSWKK4PhyNC6wvSb4LgPVgBQlwuDmiYqIiIiIiKTpTC4R3mVQWc5OMuGTxMtrgwO7xSaPRJqK4org7UBVQZFRERERGRyVFLao4atGQxAgLGniRbxQ6XPy/Cvr60i7bgcXlE+s8MUEREREZE5Z1oqg5ZlKVTuDmPYmkEf+I2xp4kCJD8ByQu9x+U+rxJYF/DzroX1BEztMSgiIiIiIpNTUhi0LOt6y7Jqxzl2EPD4tI5q3hivm2iAmoOKA6HbAG6z97jCp9m9IiIiIiIyNaWmiqOAdZZlnTH8RcuyvgisBaLTPbD5wSkKg/l9BhPHBFj0Xm+qaMpxuG5HV9FVFT6tERQRERERkakpdXrnIcCVwC2WZf0c+Enu+THAfwL/NTPDm+vcoq0lCpXBCj+u68XEG3b2cFNnT9FV5aoMioiIiIjIFJUUBm3b7gfea1nWX4FfAx8DXgGOtW37n5N9U8uyPgV8CVgErAM+Z9v2AyVcdyJwL/CSbdsHT/Z99z4uLkPr/fL7DKZDAZJZLyYOZLOjrgqaCoMiIiIiIjI1JacKy7LqgLcDQWArXpA7YrJvaFnWO4DLgW/nrn8YuNWyrGW7uK4W+A1w12Tfc+/ljF0ZDAaI5kJgwFBzGBERERERmX6lNpA5DXgeb1roqcB+wM+BX1iWdZNlWU2TeM/PA1fbtn2Vbdsv2rb9aWA78MldXPe/eFXJRybxXns5d8SawdzWEj4/0VxlUJ1CRURERERkJpRaGbwVuBs4xLbtu23bTtu2/WXg9cChwLOl3MSyrCCwBrhjxKE7gOMnuO5TwALgWyWO91UiVxnMTdbNby2R9gdIuS4/adnB3zp799joRERERERk7iq1gcw7bdv+48gXbdu+37Ksw4AflnifBsAH7Bjx+g7gjWNdYFnWIcDX8NYnZi3LKvGtPGvXrp3U+bOhuvDIJbMMMid4z4ylGWiD9ELv1/JA70DRdUHX5YxMbK/8nmTvo8+JzCR9vmQm6fMlM02fMZlJr6bPV6kNZEYFwWHH+oELp21Ew1iWFQKuA75o2/am3bnHmjVrpndQ02B94ZFD6i1AmffMH85tOu8f+9fykSULOLm2aqaHJ3PA2rVr98rPvswN+nzJTNLnS2aaPmMyk/bGz9dE4bSkMGhZ1oG7Ose27RdKuFUnkMWb8jncAqB9jPMXAQcAv7Is61e510zAsCwrA5xp2/bIKaevIi7OsIm6/mwuDPrG/rX41UxGRERERESmSanTRJ+Hol4nY9nlTui2bacsy1qL14TmT8MOnQrcMMYlrXh7HA73qdz55wGbd/WeezXDwR32G8iHwew4m8qn3V39CkREREREREpTahg8Y4zX6oDTgZOAL0ziPX8A/NayrMeBh4BPAM3AzwAsy/oNgG3b77dtO40XRAssy9oJJG3bLnr91am4MujLZEn7/DBOBdAqi0x4t4FHHmTwicdY+KnPYowz1VRERERERARKXzN4+ziHrrEs6zK8sPjnEu91nWVZ9cBX8KaBPo833XNL7pQJ9xucW9xRlcHxqoJXH7iK8C42mx945EFizz5NqnUboeUrp22U2WiU1LYtRPbf5WxhERERERF5lZiO8tGtwPXAx0q9wLbtK4Erxzl2yi6u/Trw9ZJHt1dzcIftI+jPZsZtHrOrIAiQ7fO2oUi1tk5rGOy+6Xr67riVxV/5BpF99pu2+4qIiIiIyJ5T6j6DEzkOiE3Dfeah4jWA/kxm3OYxE94lnab9Z1eQ3LIZgFRby3QMriC5aSMA0Scem9b7ioiIiIjInlNqN9HvjfFyEDgQb+P5H0znoOaPEWEwmyEZDJV+tetiGAbR555h8NGHCq+n2lqnb4SuS3LbVgAGn3qC+ne+FxwHY5zprCIiIiIi8upQahnqfWO8lgC2AZ8j1/xFJsspeubLZkuqDLquy7avfpnwqn1ouvDj4BTfZzorg5nODtxE3HvcsZPOP/ya/vvuYenXv02wefG0vMfg2sfxlVdoTaKIiIiIyCwqtYHMopkeyPw0eproyAYyTQE/n166sPiqVJJUyzacZBInHie5bUvR8fTOHbjpNEYgMOUR5quCoeUrSG7ZTN+dtwHQ/9D9NLz9XQD0/uM2fJVVVB5z/KTv78RjtF95OWY4zIrLrsCMlE15zCIiIiIismvTsWZQdltxRW94A5lQrrHMWxrr2LcsXHRednAQgExXJy2Xfo2em0Zs0eg4pHa0T3l0iQ2v0HeX10i25sxzYFhzm8HHHsZ1HNI72+n8/a/puPoqnGRy0u8Rf+kFyGZxolF677pjymMWEREREZHSlNytxLIsP/BGYD8gPOKwa9v2f0/nwOaHocqg6WQxXbcwTbTc9JF0MoR9o/ccdKLR3AOHVMvWMe+camshtGTplEbX8s2vFh5H9tufsgMPIfbsPwFv+ujOX/2CgQfu9YYSjxNd+wQVx50ArotRQvdTgNjzz3oPTJPe22+h5tTTMUMjP14iIiIiIjLdSvqL3bKsZuBF4O/A/wDfAf4r9/XS3H8yaUOVQX8mAzAUBn3eryZkjP4VZaODY97NjJTR+P4PA5BqHX/dYNx+kf6H7h9/VPEYHb//ddFrvppaKtYc5Y1p+QqAQhDM63/gHlov/Rptl30b1y2eAjue2LrnMMIRas88B2dggL67/1HSdQDprk66/vwnnGSi5GtERERERMRT6jTR7wM7gcWAARwNLAEuATYCB83I6OY6Yygw+bJZADJ+P2WmWQiDYXOMyuDg2GFw5RW/oPyINQCkWraN+7ad1/2OnVddSaa/b8zjXX+5nr47by0eqmFQecLJ1F/wbhZ99kuY5eVFxwMLFhJ/cR2J9S8Tf+F5kps2jPv+mZ5ukq3bSHd2kG7fTmT/A6k54yyMcITeW2/GSaXGvXa4nr/eSM9NN9B9459KOl9ERERERIaUGgZPwguEO3LPfbZtt9m2/T3gN8AVMzG4uW9YZTDrVQarwyF+vv/KYWFwrMrgwJh3M/x+fDW1mBWVpEY0lRku3bETgIT94qhj0Wf+ycCDQ1VDIxhi0ee+XLh/7Znn4K+rp2LNMbkTDOrf8R5q33xu0X36Jlj/1/7Ty2n5+r8xkKtOlh10CL7yCmreeBrZ/j7677tr3Gvz3GyWwaeeAKD3zlsLjW5ERERERKQ0pYbBaqDDtm0H6Aeahh17BDhhugc2PwxVBvPTRA1/gIBpUJ7rKjpWGHQGo+Pe0TAMQsuWk965AyceG31tIoEz4IXJ+EsvFI/Gddn+P9/FGTYNtflL/0b54UeOuk/lCScBUH/+O6k942wqjjoWI79Hot/P4OOPkB0cHVqdeIzE+ldw02m6/3ojAGUHHwpAzWlnYoRC9Nzy1wmb0WRjMQYfewRnYIDgshXgOHT89v9KnpoqIiIiIiKlh8FNQH57iReB9ww7djbQM52Dmj+GhcHsUBgEOK2umnMbamgOjd4eYqw1gws++ZnC49DS5QAkx5gqmu7sKDweGQazfcXTRmtOfzPh1fuOOfKIdQBLL/1vak5/MwBmJELVKa/HV1VN7ZvPxU2n6X/gvlHXxe2XhvZFzGbx19UTWOh9tHyVVdScegbZ3h767rqdwbWPM/DoQ6Pu0f7jH7DjFz8GoOFd76P8yKNIvPwSAw8/MOZYRURERERktFLD4G3A6bnH3wHebllWi2VZm4DPAD+dicHNfaMbyLi5vQFXl4V518IGDGOsbqJeGDSCQQBqzz2/aI+/4LJcGNyyedS1mdwUUfCazGT7+wvP0+1tRec2vPN9E3YFDS1eijFsu4mGd76PFT/8KTWnno4RCNB/7z+87Se6OgtVu/hL6wAoO+QwACIHHVL0PdaccTZmeTk9t9zEjqt+yo6f/5hk61CozfT1En/h+cLzyH770/Du92MEg3Rd93uy0fGrpiIiIiIiMqSkMGjb9pdt274w9/ivwGuB64BbgbfZtv2dmRviXDa6gYzr3/VuH/nKYGjZCu/aysqi46FcGBxr3WC60wuDwaXLAK+zaF5qWBhc9Pl/3eU4RjJME8M08VVUUnHM8aR3tNN1/TVs+cJF9N11B9u++VV6b7sF/H4WfPwias96C7VnvaXoHr7ycq+zaDSKm4iD69J13e8Lx6NPP1V43PjBj2D4fAQaGqk9561k+/uKzh2P67p0XPMb+u67e9Lf43zkOg7tP/sRrd/9JunODrID/aS7OnfrXk4iQfylF3Bdl+TWLbjpNJn+PpxEaR1hXdel89rfsv2K75Pe2U52oJ/4KzY7/vdnDDz2sKYKi4iIiEzCuMnDsqz/AH5p23bbyGO2bT8EjJ6/J5M0uoFM1ldCGMx1Ew0tX0li/cv4KqqKjgcXLQa/n+TWscKgN0206sTX0nnNb4m/9AIVR3nNYFLbvV/14q98g8g+++3G9zOk+vWnMvDgffT+/WYAuv74B9yUtw4wUN+Ar6KS+re9c+xr33g6vXfeRra3B19NLbFnnyb2/DOUHXwY0VzTmOXfu5xA04LCNbWnn8XgYw/Tf//dVBx7HGUHHjLmvWMvPE/7Ty/31k0aBsEFC4nsf+CUvte5LLW9jehTTzD46MMAbPvaJZihEJm+Xhre8R6qTz1jzOo1QGLDK7iuS2Sf/chGo7Rf+UPi654DINi8hFRbC8ElS0l3dmIGgzR96KOUH/GaMe/lui7RJx8n+sxTDDzoTT+OPfcMZqSMbF8v4G11MvDAfTS+/8Kiz4aIiIiIjG2iyuDX8LaPkBkzuoFMtoTKoBOLYUYilB12OGakjNDKVUXHDb/f+2O7dRuu4xQdy3R4YdBr+BIkbg+tG0xv3w5AcGHz7n07w4RWri4aVz4IApSN0ZBmODMUounCj1N1yhtY9JkvgmHQee3vWXu1HQAAIABJREFUyMZixNc9T3DpslF/7Bt+P00f/gSYJjt/ddW4ew92XH1VoYEOrkv7z64omio7l8RfeoHYsCm1w6VaW8jkQtR4Yi+uY+sln6frT9dglpdTf8F7cJIJMt1dAHT+4Te0X/GDMdewJrdtoeU7/0nrt/6Djmt+w85f/bwQBM2KSlJtLRjBEKmWbbiJONnoINsvv4wdV11JNhrFdV3c3P8nOv/4BzZ86F20/+R/GHjwPnzVNTS+/0KMUKgQBCtPOJnIwYcSe/4Ztv77F+n5202F60vlOs6kr9ld8Vdstn3tYrquv6bw8xv5/1URERGRmTZR8hj7n/tlGo2uDGZyXUQnvCoWxSwrp/zQI1j10/8b85zQsuWktm4mvb2N4OIluK7Lzv/7OdGnnsAIhvDV1hHe1yK+7jmyA/048Rip1m34KqvwVVRM+TszDIPqN5zGzl/+NP8CuC6N77+QyhNO3uX15YceTvmhhwNQeeJrGXjgXnZceTluJj1u9Si8YhU1Z5xN7y030XX9dTS+5wNFx9MdO0nv9HZHCa1aTfnhr6H7xuvY8csrWfS5L0+4PvLVItPXS3LLJip/+RNac91k6857O7XnvBXDMIjbL9Lxu6tJbduCWV7Bwov+H8nNm/BVVlJ5wskYhkGmv4++O26l946/F+7b9IGPUnH0sUQOPJj4i+uoOOoYdv7yp0SfeoJtWzez8FOfJbxqHwCcVIodP70CMhn89Q303e7dJ7TS+/2UH3YEsWefJrh4KZneHrKDAwQXL2HnVT9l4KH7ib/4PMHFS4m/YlNx1LEMPHBvYRyh5Sto/OBHCa9cTcVRx5LcsonIgYdgmCau6zL42MN0/uE3dF1/DQOPPkjjBz5CZF+r6GfUc9stZDp2Unv2efhrasgODtD1p2vof/A+zGCQ2rPfWlj3OhPi61+m7fvfwU0kSG7ZTN9dd2JGwmT6+qg64WRqzz6PQGPTrm8kIiIiMkW7LkPJDBqqDAYKlcFd/wHqxGL4GxomPCe0YhUDD95HYtMGgouXkO3tKfxRHWhoxDAMItaBxNc9R989/6D7xj8CEN7PmuCuk1N57AnE7RcpP3wNiVdeItvfT/Xr3zTp+9S/9QIGH3uE2PPPAFB+5FHjnlt37vlE1z5B3z9u88JLLgj03XUHHb/1gnPTRz5J1YmvxXUc4i+/SOzZp+m9/RZqzzh71P0GHnuY0PKVBBcuGnVsb5Lu6qT3lr/Sd7e3v2M+1prl5XT/+U+k27fT8J4PsP3HPyhURp14jLbvfQvyzX3sF0m3byfxil24b82Z51D/tncWgnJ4xUrCK1YC0Pzlr9B90w30/PVGWi79Gg0XvJt0Rwd9/7gNgOo3nEb9Be+i89rfkVj/Cgsv+jyBeu9zW3HUsQAEmxcX3mvJV75Bzy030f3XG8l0dwPe1E8zUkbzFy8h0LQAX+XQlGhfZRVlBx9WeG4YBpXHnkDZIYd54e7eu2i99GtUnfx6soMDuI5DaNlyenJbmgw8fD+155xPdO3jJNa/7P1MEgm6/vh7+u/9B/XveC/lhx9JYv3LhFfvi+H3E1v3HAOPPkTNqWcQbF5MqrWF4LLlRVNlU+3b6bvnTiqPO6nwswIYfPJxdv7vT3HicTBNFnzsX8j09dLzt5sK32///ffQ/9D9VJ10CrVvPpf4C14lPB+0RURERKbTrsLguyzLOrGE+7i2bf/PdAxoXjGGKoMh12sgs6vKoOs4OIk4Zln5hOeFV60GILlpA5z42sLUPgAj5O0HWHbwIXTfeB29tw9VgKZjimjhffx+Fnz4EwBUrBk/wO2Kv7aO2rPOLQTW0PIV455rBoM0ffjjtH776+z835/T/IWL6bzu90SffKxwTsWao73x5f4g3/bVf6Xr+muJ7Ls/6a4Ob6/HpiZ6bv4Lg48/gq+2jqVfu5TYuucILl5a9Af+npDt7yex4WU6/vAbqk58LbXnvJWdV11ZtFVIZskyms84i7KDD2X75Zcx8MiDRJ99Gic6iL+xidozziK4eCnbf/wD3ESCwMLmogocQOVJp1D3lreNWzE1TJP6895OxNqfHT/7MZ3X/LZwLLhkKfXveI/3+/jAR0r6vgy/n7pzz6fssCMZfPQhKk84if4H7qVizdHjbnEyFl95BU0f/CiVJ5xMx9VX0X//UKOg2NNrvS1MTn8zPX+/ma7rfgd4n6nKE0+h4jVH03PrzfTddQftV3wfX20d2Z5uAk3/n707j6uqzh8//ro7l32RRRDZ1OuKopn7kpW7ZZqNU2qNNpOZlZUzmpWWZaY1ldE42j5N1nwt9Jej7dOilamRZW6ooCKggIAgy93P748LR64soglavZ+Ph4+6Z/3ccw9w3+f9/nw+kQQOvZri9e+iOByc/vor9K3CcRYW4NPeQthNN6PzD6By14+UfLABV+kpSj/+AP8r+2GKi6f0809x1gy6o9EQOfNuAq7sB0DQ0Ksp/+F7fLsmU7VnN8Xvv0fZl/+j7Mv/qe02d+lG6HUTMFs6Nfk6iOblqqhAazZf8ooCR0E+ZZs/x56Xh7uqEt/kHvj3ulL6zQohhGiScwWD9zbxOAogweB5U4jLOULMiVwUkw8AzloDyFTs2olid2CMbUvF99sIHjXOk1VQFHS+vo0e2RQbBzod1sOZ2E/kUfjmq+o6Z4knC2GKT0Tr5+81yTwNDAZyqQWPHIvtyGF8u3VvcMCSGub2FoKuGUnppx9y7NEHcdeabiLo6hFozWb1tT4wiMg7ZpP39BKO/+M5XGWl4HajMfl4RjMFXCXF5C59DEf+CbRmX2IefgxTTGzzvNFzUJxOcpYsxJF/AoDi9e9StW+PGggGDBpKqz/cwo/7Mwi8wlNOGzN/IQWvrKR8+3fowyNou+QZtNXTksQtfRZ3VRW6oGBOvv0v7MfzCBk7HnMHC9rqe/JcfDt3I3bxMgpe+Sf2vBwCr7qGgP6D1HOcr9rZx/Cbbz3H1g0zt7cQ+9hTnPr0Q+zZR/Ht0ZPTW78h9LoJ+CQmEThkGMX/Lw23tYqIW29Xy0LDb76VoKHXcPI/b1G5ayf68AgcRScpWvs26HSETfojp7d+gz0nG31YK6wHM8hdsgiN3oDidAAQdO0orIcyKN++lfLtWwHQGE20vu9vmNrEemU4tWZfAqtLpwP6D8S/Tz9Ob/3a0+/RYUcfEkLVnp/J3fMzPh06eoLC6ilZTm/fiuN4HoFDr0aj1+M6XYYhPBLbsaOY2sY3GKgoioLtSBbGmNgL/pwuNUVROP31VzhOFhLQbyAagwFncZEni9tMAZrrdBnWzIOc3voN5du+RR/WCp+k9jgK8zFGt8HcsTOO/BMYIqPw69kbnZ8fisuFRqfDnptD2Teb8YlPxLd7Ctrqh3INvTeczgZLld12OyUb1lGx83vsJ45D9WjUAFX79lD0f2swto3Hv1dv/K64EmN0GxS7DY3egKbWA0dFUbAe2I9Gr8eUkITicIBGo94TiqLgrihH6+d/zt+74rfPejgTe84xTIlJGFvH/OKfM8XpRHG70RgMKDYbWp+m/c0533O47Xa0ZjPWA/sp/eJTFJsdk8lMhUGLq7QUrY8Zn6R2OMtKcZWV4TxZiCEiAsfJQvRBIZgSktAHB1/0tglxudA0NBS7xWJxA30zMjK2t2yTLp709HSlV69el7oZdRy6zTOKpsMdg0GbC0DJNaMI+exDKv80k+QhQwE4+uD9uMpKCeg/mNJPPyTm4cXog0M4OvduAvoPIvIvdzV4DovFwsIBfeijdaMPDPLKDEb8eZb65fPEyhXql1WANo88rmZhUlNT+fjjj9m4ceNFff9NsW3bNqZNm8bWrVsJDQ0F4LPPPmP58uXk5ORw3XXX8dRTTzW4v9tm49iiB73mToxb/jyGiKh6ty/+73qK0/6vznJTXALG6BhOb/1aXaYPa0WbR55o8T8OztJTnP72azWb5ds9BdepEs98klotbR9fjjHGM+ZTeno6te99xe2mfPt3mOKbt+RVUZTf1JdG27FsDJFROIuLOPXRRvy6p+CXcgWK240tKxNTfALWw5kUrX0b68EMDJFRBF07kuBrRqojoJanb8P/ir4Y27S54Mx71aEDlPx3PZU/7QQ8fV592lvU/photXDWADSGyCgMrWNwHM/Fr2dvgq8didbXj/yX/0FFumdUXm1AAEFDryHo6uHog0Oa3J6z76+mcpaewnY4C7OlE5V7d2PNOoRitaIPa4X92FH8el2JX4+eoNWiOOxoTT64qyrRmn1xV1XiOn2aip9+wJp5CHv2Uex5OXXOoQ+PwL93H9zl5aDVEdBvAD4dOl7Qfam43Z7gLjyCyt0/kf/qKrXM2hAZhbO0VH1oVLchevTBITiLTmJqG489N0d9WKAxmfBLTkFxuXDbrPil9AI0uCsrMMbEUrx+Lfbjefh26opf7z7497xCfYBQdegABa+uwlE9+rPWP8CT6Y+Nw9Q2nsqffqA8fQeVe3apQaIuIBDX6TK0fv749eiJX8/eGKKiKHrnLbX8Xuvrh7uqEo3BgG+Xbvgmp1C+4zuq9u5G3yocv+498UvphbljZ6/5Zb2ul6Jgz8tBHxJW54Gl4nRiyz6K48RxFIcdc9dkDGGtPAM32azYcnMwxbbFfuwYe/Py6NquHYrLhbFN7G/qd8r5ctvtLfLAxjOoWAk+CUlozZ7PTnG7cRadxJF/nJJNG6jat0fdXuvnh0+7Dvi0t6APCsZxshBDRCSOgnwMrcLxadcBQ3iE5+cnIhJr1iFKPtyIIy8HU3wiuuBgTn+zxVPpZPbFXX7a0xUgJBTnyUKMbWLxSeqAT1I79SG4T7v26ENCvdqtOJ2Ub/8O65FMTLFx6FuFU771G+wn8nAU5OOurESx29SfgQulDw2tHhgvCZ+EJM978Gu8Quty4CwpxllSgjGmDRqdDndVJY6CfLR+fhgiouoE9IrLhausFF1wCPbso1gzD2JoHY2hVbjns42IxJZ9lKr9ezFERHo+88J89KGtPL9jjEaMbdrirqwAnQ5Tm7ZofXzUh2I1A6Vd6oqK5nahfyObU3Wb6v1lKsFgC1MUhcw//REAQ9t4HNlHAAgaNpzSzz8h6p65+Pf0ZHQOz7kT16kS/K/sR/n2rUTOvAdjdAzHFs7D1XcQ754s4csvv+TEiROEhIRgsViYOnUqQ4YMwWKxsPiG6+h14pjX+WMeXux5cl79x7Vs8xcUvLYaNBoS/vGq1x/wiooK7HY7ISFN+5K4bt06Hn/8cXbu3FlnncViYcWKFYwcObJJx7Lb7ZSWltKqVSu1rX369GHSpElMnToVX19fAs6aX/Fs1qxMcp5cRGD/QbS6+dZGnzoqbjcnVq7AmrGP4NHXUfTeO7S+dy6+nbuhuN0cf/Yp3HY7ft1TKF7/LqaERGLmL/TKntX8srsQitNJ5b49+HbqUueLlrO4iNKvPqfk/TTAk2GKW/YcuqBgFJuNk//5N8bYOIKvGaHuczn+IvotUxQFxWr1yjo3B+uRw5T8d50azOmCQwgePorSLz7DWViAxmhEsds9GX6dDmqPjqrToa/+olXzWms04a6qBJ2OgL4DCB4+utEy7BrpO3bQyc8HU5z3FyJnSTFF69ZiahtPwIDB6Hx9KftmM5W7d+HbsTNF69/Fdaqk0WPrAgJR3C7cNpv6IEsf1srzQOusv1emxCSChl7D6e++wXY4C2PbOGxHslBsNq/t9OERBA4YTMCAwRjCI9T5KOsLMqoy9lH29VfYjmRhzzkGioLWzw93RQUavQHfbsn4dOhE8LUjPf2OM/ZhjGqN81QJFT98j9bXFxQo3/4t9pxjns/E6UTn50/YpD/iKMinfPtWdTCrhhiiY3DkeR4WotVitnRC3yrcM7WKohB0zUhCx9+I1te33i9WrsrK6sBwO5W7fkKj16MxGNQReGuYuyajDwmlYmc6uFxo/f1xFhacucbxiTjyT3juE0DjY8a3azJ+PXqiOJ04ThzHnpeDI/+EWrGAToe5vQXf7ino/AMofj/tzH131ufiKi31Gm36bLrgEHy7dff869wNxeVEsdnQh0eg0WjUB1A1gTtaLYaISDQaDW6bzZMBbxOL/XgezpOFnvaeyPN0tXA6cVut6IKCcBRWZ4Py83EWncRVfhpzh45oTCbPezuehy4oCHOnrhhj2uA4cRx9q3Bcp0pwlhTjKCyoDoZOYAgL91y3kwXoQ0Ixd+yMKS7BOyvrcOAoKqT004/RmEyY23fAWVqKxmBAazRy6tMPcZ4sxFlcjCEyCrOlEz6WTpg7dMRRWIDW1w9T27h6P3tFUajatxvcCj7tOnjmcVXcXoGUoihU7d+LI/84FT/upPLHdM8KjQZT2zhMie2o2rcHx4njZ+6VLt3w69ET25HDVB3Y73WfNEqnUx9MaM1mT3CH50GGISISx4njGKKiPPdZRQUak6nOz7B6z4SGYohsrWbg7cfzGvydojGZ0Pr6YQgPx1FQ4KkaGj4KQ6tw9nz6MTEaT9cSjU6P9fAhNDo9uqBgDJGROE+eRBcYhOKwYz2che1wZp2fHUNkFKaERE9wmJCEKS6+yRU1zcFdVcnprV9jzcrEWVKMu7wcW/YRz+9NjQaNXu/J/lfT+Jg9AXthAfqQEFynT+O2VnmqEoymRn8um0yjQR8ahvNUCTpfP9wOO7gVjG3aYIqNwxjbtvq/cbjKPPe/PjTsV/8A6HL8DtZYMCgDyLS0Wl9mNLWe5NdMhaDR1/pjYbcDqH9gncVF6IODybfa+NurrxMQ1or777+fjh07oigKW7duZdGiRXz55ZcAGCOj4Kxg0BgZ5fVD5ts1GQB9aN0nuX5+fvhdoidfRqOR8PBw9XVZWRmnTp1i4MCBREY2rS+MT2IS8c+kovX1U5+s2u12jPU8ZdVotUTdNQdcLjR6PcHDR6l/uDVA9LxH1C8ejpOFntFNV6USdfcDaLRaTm/fSsFrqwmf8icCBw5Rj2s9dBB9RAT6wCCv8ykOB6Vf/g+/Hj2p2r+Xkv+ux1GQj2+PXkTNuterTOv4i89hyzqk7ht6w43qH3WN2UzEn/7SpOshmo9Go0HTzIEgeEpoW9/9ALacY5Rv+5bAQUMxREQSPGIMzpJiz9Pbk4XoQ8NwlZVyeuvXmDt1xX70MCUfbcRxPI+AAYMJm3QzOn9/FJeL099u4dQnH3D6m82c/mYzPpZOBA8fjbOkCNxu9MGhngzRwQyM0TEEXXUtvh/8l7zDh9AYTQT0G4AxOobK3buoOrAfxWbjNFD07jv4JLVTswnlW78GjQb/K/tRlbEPXWAgPont8GnXAWvmQXwS22E7ls3pbzerpd01FQ01gaA+NAxTYjt8ktpjik/A3N6CRq8ncPBV6jVyW62U7/gOV3k5xpg2lH/3DeXfb6f4/71H8f97D2N0GxzFRZ4RdPsNxK97CtasQxhbR2M9dJDi99O8fk8bomNwV1Rgiksg4vaZnhL8ms8d8OvmGcTIEB7hNXJt6HU34CorQ+vvj9tqRWswqGWfoRP/gO3oYVwlJRjbxlHxww4cBWeCCb+evfHt1AVHYQHl6Tuo+P479ToaIqOImH7HOfuP6nx9Ceg3kIB+A1FcLk/2WFGwHTlMxQ87sB05TMDAwfj36a8GU2g0aDQa7CeOU/nzTxjCI/DtngIuF1UH9lPxYzqVP/5AxffbvPph19D6B2CMao3iclG1f++ZfswaDfqwVhhbx2CIiEQfGkZVxl6q9u0FjWfeUUN0NM6iInQBgZSWFBPg64suIJCqjL3Vc4h+6XUufatwT5mhzYouINAruNa3CsfcqQuVu3fhqu4Wcb40JpNX1YxGb8BtrfI8IGiA9cB+z3/J8KomAU8Q5NOhI2ZLZ6wHM6jY+b3X+non+tFoMETH4Cop9gwutfmLusds3xFdUJCntDE8Anv+CZzFRWcCteqRvKH6unToiLFtPOXbPA9Qavi0t1T/LB7AmpXpqTjR6TB37oo+JJSga0bgk5DkdX7nqRKsBzOwH8/zZMpPFqILCsZttWI9dAB7TjaGiCicJcXoQ8MIHjkGn3YdcBbmY8/Px9yho1e5tOJ2e7JSQcG4SkuxZh7EmnkAXG60fn7YDmdhzTxI1b49aIxGnMVFaHx8CBo+Cv+evbHn5mDPy/U8sGnfEa2PT4MPaJ1JHWh1Hl/WFUXBVVKM9XAmtsOZ1QFiFuXffavOw4tGgzEm9kyAmJiE1uSD81QJprZx6Pz81fdZuedn7Lk5mNrEYopPAEXBXVV15iGH24099xiu8nL189QFBmKKS8AQ1Rp7Xi6usjIUhx1dYBDl333D6e++rRPAmRI9mUzbsWxcp0rQh0d4qkDcbmxHj3i6O4SEeK6l3oChVTiGiEicRScxRETh2z0FR0G+5+FHeDiukhJ0wcH4pVyBq6TEUwkQGorr9Gk0RiManQ7bsWw0Oj0aowH7sWxsOdkYIiJR7HZ0Bj1aX39sR49gy8qs91prff3UIFGj0+GqKFe7NDjLSjHGtMHUpi2GyCgchQVU7d+DPjgU1+kyNAYjxthYjJGtq8t8gzyZZ7sdjcFQb5BpyzmGIy8XQ+vWGKOiPZ/P7l1odFqMMbG4Kys9P4tRrb2y9IrTiTXzYHXm041it6H180dxtcwUVReTZAZbmOJ2kzn9ZgAMUdFqGaNfr95UpO8g+m8PqROmH5pxiyc48fFBsVoJunoE5i7duOPOOzmqwMdffFknWCsrKyMwMNBTJnrfHP73rzf4/lQZwQY9U2Jb8+eNH6s/DBkZGSxdupT0HTvwMRq5esQIHnroITXjVrtM1GazMXHiRLp168bSpUsByM/P57rrruPPf/4zt99+e5MzgzUloG+88QbPPvssBw4cICkpiccff5wuXboA3mWiBw8eZNq0aV7He/PNN+nTpw+ffPIJqampHD58mLCwMCZPnszMmTPV9zhs2DBuuOEG8vLy+PTTT+nfvz9/+9vfuPrqq3n22Wd555132LVrF4mJiTz11FNotVoWLlzI/v376dSpE8uXLyc29kz/wM8//5zU1FQOZuwnVK9neK+e/PWfqznx2AJP2ZZGQ9Sse/Hv3Rdr1iFyFj+MPqwVMfMe4fR332CKjcMvpRclH26k6P/eQusfgLv8tNd7M3fsTOt7/4rbWkXFznS1v6ffFVcSfvOt6EPDznmfXY5PpcSlpbjdnqxFZOs6fxA9f/x+4tQnH1K1e1eTjmdKTMJVWnpmYBwAjYbQG25Co9VS+uVnni+oraNp9YdbqNy7G99uPdTgqSFuux3HieMYY9tiz8vBGBGFq/y056l9YGCj+zZ4zKoqyr/fxulvt5wpdauVrahNH9aK0PE3YkpI8pRWXSZPqJ3FRdiyj2Lu1KXR/obNTVEUHMfzqPgxHWfpKUzRbTAlJqELDEIfdKZ03ll6ispdP+LIP07AoKs8DyfP4rbb0Wi1daohav/+UtxubEcPU/nzT1T+/BPuyorqvroHcFurPOV/ZaXoQkIxhIej8/OnKmM/7soKNAYD/n0HeMrizL4YwsMxRrfB2DoatFrcFeUYIltjzz2GsW08jrxc9OER6PwDPNnC43k4CgswxSegqx60rerQAWyZh9CHheGq8JzD0CocU1wC9rwcDOERuCoqsB7Yh9Y/ANwKVfv3eLJsNZlTPFlRfWgYwdd4+rFX7d8LWh1asxlX6SkCBw/D0DpaDQxs2Ueo2r8P68H9aI0m0OuxHtjvdUyVRoN/n37oQ8OwHtiP4nShCwjAmnXoTB96jQa/nr3xSfI8XKldSu2227EfO4o+NKxOWealpigKrtJSdAEBuG02NDrdBf08XIy/kYqi4Mg/UR0cZmI7nIXt6GH1Qf7Z9OERnvsk+0iDlQFasy+m+AScxUX1f7aN0LcKJ3DIMHy7JKMLCkIXEHjOEmOv8s3qh0EtQXE6sR/PxZZ9FPuxo9iOZXvua50Oe0625703EJ+o9Hrv6pcG6AKDPCWsPmYMrVvjLClB5+ePMaYN9rxc7MeOntm4+vdRvZ+hVoshIgpjTBu0vr5U7Eyv8/0NAI2G0ttn02vAgHO2rSVdUGYwIyPjt13QW4+T/3mL8h3ftdj5HAVnftDdldUlONUDyChOp/pFRbF6sobO4iJKCgpIP1XGneOvrzdrF1jry9Lqt99hSqsQbmsbzWflVaw4coyxx48THR1NZWUlM2bMIDk5mffWraO0tJRHHnmEBQsWkJqaWue4JpOJZ555hkmTJjF48GBGjhzJvHnz6NixIzNmzLig9//3v/+duXPnEh4ezpNPPsncuXP54IMP6vwySklJYdOmTYwZM4bU1FRSUlIICgpi9+7d3Hvvvdx5552MGzeOn3/+mUWLFuHv78/UqVPV/V9//XXuvPNO0tLSqP3w44UXXmDBggW0adOGRx99lAceeIDQ0FDmzJlDWFgY8+bNY8mSJaxatQqALVu2MHfuXB566CF6du3Kz88u4/nvvsc29RZu9TPgY+mE7egRTqxKpbXRRNkWz1NcZ9FJji160FNmpdEQPm0Gpz7aCHq91y+SqLsf4PS3W6hI307u8sdxlpSo5S9tn/y71zQMQpwvjVbbYJ9FjVaLX3IKfskp2HKPUfrJh54vwW3jsR07ik9Se3y7dUfr60vZ559RUFxM0l33glZL5a6dlKfvwNze4pkGozp7EDx6HNasQ5hiYtGazfj1aNoXL63RiKmtJ/tWM1DTL/1CqjWbCRw0lMBBQ3GWFHueYOv1VPzwPRU7v/d8aQc0Oh2h1994UeZavdj0oWFNehDU3DQaDcbomHP+PtIHBRM4aGij2zSlL5xGq8Wnup9W6HUT1OWKy4XidHj6lVqtXt0AFJcL27Fs9MHBTeoLW/Nezg5Y63ufvp264NupS73HMXfoCHjuV1ObMw8RA/r2Bzxl1DVZcXOnrmdV6TT8kESj1eITn4hPfCKMHOO1znmqBHterqe1sTr3AAAgAElEQVS/5YnjGFqFozX71tstQnG7PV/AjxzGJz5R7WN+Nq3ReF4jOLckjUaj9tc/10B6LdEWY1RrjFGtCejnGXhfcbmw5+Vgy/JkD12lp9CHh2PPy8V2OIuK77ehMRgIGDQU385dsefmYDtyGLe1El1wKPacY1Tt34tGr8fviivR+QdgCI9AHxKG4nJ6snl5OZ7P2c8fXXUpvW+37vh2TT7vvnhqBVQL9+HT6PWYYuO8Ki1qc9ts2HNzcJWXoQ9theN4Ls7SUk/1S/5xbMeyseccQxcQgF9KL5ylpWhNnkywLScbe14u+qBg3DarZwqoNm1RHA5sh7PQmn1xVFZgz8kGnQ6/lCvw6WDBkX8Ce84x3NYq/Hr0QmM0qdtoTT7Y845hz8mhojqJowsMIujq4Z5uIjab57MoKcavRy9KDZfugd2FkDLRy0SdYNBR96mEs/gk2dlHUYCE+PhzHvP6669n+PEjOE8W8ue+fXn/jbfZsWMH119/PRs3bqSqqorly5fjX/3FZ/HixUybNo2jR48SF1f3B7Rjx4488MADLFq0iB9//JF9+/axYcOGC36SdO+999K3r2e+uVmzZnHzzTeTn59PVNRZf5CNRnUQmaCgILV89PXXX6d3797cc889ACQkJHD06FFefvllr2Dwyiuv5M9//rP6OifHM+jEn/70J4YM8ZR0Tp8+nZkzZ5Kamqq2acqUKTz++OPqfqtWrWLGjBlMnDgRgNhlz1I++w6Wpe9i2pXJhN98K25rFXnPPMmJF59FcToxxSfil9KL4vXvAqD1MVP4r1cACB5zPT7V/UqCR45Fo9Hg16MnBa+/5OkXVC3o6uESCIoWY4qJbbT0OHzqn8hOT1ezOX49etUb6Gm0WsztOjRbOy9U7cCypoxS/PpodDr1i+zZgY9Gp7vkUwDVRx8SSkDfi5st0AeHqAGvOaDxzLlGq8UUE3vJRsP+PdDodGqQEzhkmNc6RVFwFheh9TE3OviMu6rKM6pvfeMcDLrYLb48aU0mdYo0wOvhyi+hOByeqhA8D+q1vr5q+W6T9lcUTz/h0lJMsW0bHiciPf1iNLfFSDBYS6vJU2g1eUqznkNxOsm83XMOnZ+/OrqVq7K6dKP6C5a7ns7TjqIi3GGe/nJNKYuwWCzo7eWejvunThEaGkpx9eTWmZmZWCwWNRAETwZOq9Vy6NCheoNBgFtvvZXPP/+cN954g+eff77J/fcaal+NiIgIAIqKiuoEgw3JyspSg7kavXr14sUXX6S8vFx9b127dj3n+cPCPE/cO3To4LWssrKSqqoqzGYze/bsYdeuXbzyyivqNm6XC6vbja1TV3Xgjai7H+D4iqdBUQgePY6AK/uhDw5BcbnwSWpP7tNLUJwOQkaMqVP2ptHpiJh+B/qQUKwHM4iceQ+6IO/+hkIIIYT4ddFoNBjCWp1zu+YeiOz3rPZ0PYbwiPPfX6NBHxJ62ZVP/1ISDLa0WmWKSq1aZ3d1MFjztL2+UZzc5adpbdChAY7kn3sUL71eT6s/3ELO448Q9oeb0WzZhvus4efr01imr6SkhMzMTHQ6HdnZ2V7r/P39sVqtOBwODLV+4MrKPAHv2aN/6mv1E1H7KjShfefL3MAv1vrO31ib3G43s2fPrjMiquJ2ExNzJnPnl9yD6PvnYz10AP8r+gB4PSFs++QzKNaqBvs/abRawib+ocnvTwghhBBCiAvxu+sXeKnV7rOm1Bq8QC0TrR5N1G2rvwOyT9FJegYH8J///peKWpOp16gJvNTtE9vR7vV31EFpaiQlJXHgwAHKy89MOL9z507cbjdJSd4jhtW2YMEC2rZty3PPPUdqaiq7d+9W1yUkJOB2u9m3b5/XPnv27FHXX0yJiYn88MMPXsvS09OJioryynheLJ07dyYrK4u4uDivf/EJCRjO6vvi26UboddPrLcOXx8Y1OB8h0IIIYQQQrQUCQYvIa/hZ2vmvdLpUZxOSj//pN59bDnZ3JkQiwJMnDiRDz/8kKysLDIzM3n77be57rrrmnTucePG4ePjw7x588jIyGDHjh0sXLiQ4cOHN1gi+s4777Bjxw6efvppRowYwQ033MDcuXOpqp4zqH379gwcOJCHHnqIb7/9lmPHjrFlyxYee+wxRo0aRXT0hU243ZDp06ezY8cOdTTRDRs28Nprr3H77bdf1PPUuOuuu9i4cSMrVqzgwIEDZGZm8tFHH7F8+fJmOZ8QQgghhBDNScpEW1rtoXLrGdZco9dT/H4aZV98Vv/uViutfUysW7eOl15+mWeeeYb8/HyCg4Pp2LEjixcvblIzzGYzr776Kk8++SSTJk3CZDJx9dVX89BDD9W7fVZWFsuWLePRRx+lTRvPCGQLFizghhtuYOnSpep5n3vuOV544QUWLVpEQUEBUVFRXHPNNcyaNatJ7TofXbp0YcWKFaSmprJ69WrCwsL4y1/+wpQpzdPvc9CgQaxevZqVK1fy2muvodPpiI+PZ8KECefeWQghhBBCiMtMg/MM/hZcjvMMum1Wsu64rcH1CakvUfDGK1Ske0/vqAsMwlVWCoDGx4ekVW80YyvFr53MMyiak9xfojnJ/SWam9xjojldjvdXY/MMSploSztH7K3R6+sdSar2fECXem4dIYQQQgghxK+fBIMt7VyZWJ13MKitHoGz9jxzWt+G56cRQgghhBBCiKaQYLDFNR4MavR6tKYzE40awj3z+OkCg9AFeuab00pmUAghhBBCCPELSTDYwhpNDGq1aLRaryknjFGtPavMZnXyca3Rp97dhRBCCCGEEKKpZDTRltZINKhOOO9wqMv8+w5A3yqcgH4DqdiZDoCrqrJ52yiEEEIIIYT4zZNgsMU1EgzqPBPOK/YzE85rzWbCJtzk+X8/T19Bd0V53Z2FEEIIIYQQ4jxImWhLa6xMVM0MngkGFZtN/X+dv2cwGXelZAaFEEIIIYQQv4xkBltcY5lBz8fhrg4G9eER+HToqK4PvW4C1kMHCZ9yW7O2UAghhBBCCPHbJ8FgSzuPPoNtFy9DazSq6/WhYbR9Ynnztk8IIYQQQgjxuyBloi2tkTJRNRis7jOoqRUIiksvNTWVsWPHnnO7qVOnsnjx4hZokRBCCCGEEBdOgsEWpjRWJqqtHkDGYQedTh1Q5mzz58/HYrGwYMGCOuuefvppLBYLd9xxx8Vp8GVm6tSpWCyWOv/uu+++Zj/39OnT+fe//33O7VJTU7n//vubvT1CCCGEEEL8ElIm2tIaKRNVXE5Ob/sW66GDaHwan0uwdevWfPjhhzz88MP4Vk9C73Q6ef/994mOjr6oTb7cTJgwoU6w5XOO63Ux+Pn54Vc9omt97HY7RqOR4ODgZm+LEEIIIYQQv5RkBltaI2WiisNO/j9fAEBraLxE1GKxEB8fz4cffqgu+/LLLzEajVx55ZXqMrfbzT/+8Q+GDBlC165dGTduHJ999pm6ftq0aXVKGsvLy+nevTuffPIJ4Alynn76aQYPHkz37t2ZOHEiW7ZsUbfftm0bFouFrVu3MmnSJLp3786ECRPYs2ePus26detISUlh69atjB07lh49ejB16lSOHTvmde7PP/+cCRMm0K1bN4YNG8Zzzz2HvdZUGwBms5nw8HCvfwEBnpFWc3JysFgsbNq0iSlTppCcnMz48ePZv38/Bw4cYPLkyfTo0YM//vGPXueuKQF99913GTp0KMnJycyaNYvi4uI629SYP38+d9xxBy+99BKDBw9myJAhQN0y0aKiIu68806Sk5O56qqreO+99xg7diypqalen+dHH33k9T6HDRvGq6++qr4+ffo0jzzyCP369SMlJYUpU6bw888/I4QQQgghxIWQzGAtJ06+RWn5d816DsXtxjn7zGvdPjD8r3qdw6ku1xgM5zzWjTfeSFpaGhMnTgQgLS2NCRMmkJOTo27z5ptv8uqrr/LYY4/RtWtXNmzYwN133826devo1KkTN910E4sXL2b+/PkYq/sobty4EV9fX6666ioAHnzwQY4dO8bf//53oqKi+Oqrr7jzzjt577336NjxzGinf//735k7dy7h4eE8+eSTzJ07lw8++ACNRgN4gsrVq1fz5JNPYjQamT9/Po8++qga8GzZsoW5c+fy0EMP0bt3b/Ly8li0aBF2u5158+ad13V+4YUXWLBgAW3atOHRRx/lgQceIDQ0lDlz5hAWFsa8efNYsmQJq1atUvfJzc1lw4YNrFy5kqqqKhYuXMiCBQu8tjnb9u3b8ff355VXXkFpIOs7f/588vLyeP311zGbzSxdupTc3Nzzej+KovCXv/yFgIAAVq9eTVBQEOvXr+fWW2/lo48+IiIi4ryOJ4QQQgghhGQGLyPu6lFEARSns5EtPcaOHcvu3bs5cuQIhYWFbNmyhQkTJnht8+qrrzJ9+nTGjRtHQkIC9957L1dccYUagA0fPhyNRsOnn36q7pOWlsb48eMxGAxkZ2ezadMmnn/+eXr37k1sbCxTpkxh8ODB/Oc///E617333kvfvn1JSkpi1qxZZGVlkZ+fr653Op0sXLiQ5ORkOnbsyPTp09m2bZsaRK1atYoZM2YwceJE2rZtS9++ffnrX//Kf/7zH69Aa+3ataSkpHj9W7NmjVdb/vSnPzFkyBCSkpKYPn06hw4dYurUqfTt25f27dszZcoUtm3b5rWP1Wpl2bJldO7cmV69evHYY4/xxRdfcOTIkQY/A5PJxNKlS+nQoQMWi6XO+sOHD7N582YWL15Mr1696Ny5M0899RRWq7XBY9bnu+++Y//+/bzwwgskJycTFxfHnDlziI2N5f333z+vYwkhhBBCCAGSGfQS1WoKUa2mNOs5nCXFHFk8q951tSebdzchWAgKCuLaa68lLS2NgIAA+vTp49VfsLy8nIKCAnr16uW1X8+ePdm8eTMARqOR66+/nrS0NMaMGcPBgwfZtWsXTz31FAB79uxBURTGjBnjdQy73U7fvn29ltUOhmoyVUVFRURFRannSkxM9NrG4XBQWlpKcHAwe/bsYdeuXbzyyitnroPbjdVqpbCwUD3mqFGjmD27VnoVCA0NbbAtYWFhAHTo0MFrWWVlJVVVVZjNZgAiIyO9rl/37t3RarVkZmYSHx9Pfdq3b69mVOuTmZmJVqslOTlZXRYTE3Pembw9e/ZQVVVFv379vJbbbLY6pbZCCCGEEEI0hQSDLa0mw6XXw9nZP5frzGZ2W5MON3HiRObNm4evry/33ntvk5tRU7oJMGnSJK677jry8vJIS0sjJSWFpKSk6uYqaDQa3nvvPfR679vl7EFbaq+vOb7b7a53fX3buN1uZs+ezciRI+u0t3awFxAQQFxcXKPvr762nKt9F6Jm8J5zqX29G1p/dpmpo1am2O1206pVqzoZUAB/f/8mtUEIIYQQQojaJBhsYTVf+DV6Q5NKQc+lX79+GAwGTp06xTXXXOO1zt/fn4iICNLT070ySj/88IMa7IEnu9W9e3fWrl3Lhg0bvKZp6NSpE4qiUFhYWCcTeLF17tyZrKyscwZ6zSU/P5/jx4/TunVrAHbt2oXb7fa6VucrMTERt9vNrl276NmzJwB5eXkUFBR4bRcaGkphYaH6+uTJk16vu3TpwsmTJ9FqtcTGxl5we4QQQgghhKghweAlotHrGxtYtOnH0WjYsGEDQL3lijNmzOCFF14gPj6eLl26sGHDBr7//nvWr1/vtd2kSZNYtGgRBoOBUaNGqcsTEhIYN24cDz74IPPmzaNLly6cOnWK7du3Exsby/Dhwy/Cu/C46667mDlzJtHR0YwaNQqdTqeWrf7tb39Tt6uqqvIKlAAMBsMvntLBx8eHefPm8eCDD2K1Wnn00UcZOnRogyWiTZGYmMigQYNYtGgRixcvxsfHh6VLl9bJqvbt25c1a9aQkpKCTqfj2WefxWQyqev79+9Pz549mTVrFnPnziUxMZGTJ0+yZcsW+vfvzxVXXHHBbRRCCCGEEL9PEgy2NDUzePEufWNlgtOmTaOiooKnn36aoqIiEhISSE1N9RoFFGD06NE88cQTjBw5ss7xli5dyqpVq3j66afJz88nKCiIbt260adPn4v2HgAGDRrE6tWrWblyJa+99ho6nY74+Pg6g+KsW7eOdevWeS3r2bMn77zzzi86f0xMDGPGjGHmzJmUlJQwYMAAlixZ8ouOCfDUU0/x8MMPc+uttxISEsLs2bO9pqwAmDdvHg899BDTpk0jLCyMv/71r2RlZanrNRoNL730Es8//zyPPPIIxcXFhIWF0bNnT8aPH/+L2yiEEEIIIX5/NA0Nh/9bkJ6erpw9eMql5igs4Ohf70EfHoGz0FMqqDEaUc6aSw+g3Rv/qbOsueTn53PVVVfx73//u86AM78HqampfPzxx2zcuLFFzjd27FhGjBjB3Xff3SzHT09P/11+jqJlyP0lmpPcX6K5yT0mmtPleH9Vt6neASxkaolLpPY8gr7dugMQdM0IdVnI2JbJ9jgcDgoLC3nuuefo1KnTZXfzCiGEEEIIIZqHBIMtrToTq63VH0wf1oqkV9cQdNW1AARedQ1hN05ukeb88MMPDBw4kJ07d/LEE0+0yDmFEEIIIYQQl570GWxx1X0GjWeCQY1Wh0anQ3F6phLQ6A317tkc+vTpQ0ZGRoud73J19913N1vJZn1aqhxVCCGEEEKIhkhmsIXVdNHUmmqNJqn1fAw1U01czMFlhBBCCCGEEKI+Egy2tHrKRDU6nWeVBINCCCGEEEKIFiLBYIurLhOtFQyqmUFHdZmooeXKRIUQQgghhBC/TxIMtrTqMtGabCCARi0Tbfk+g0IIIYQQQojfJwkGW1pNp0FNrak+aspEHTVlorqz9xJCCCGEEEKIi0qCwUvmTDCo0VYHg66aYFAyg0IIIYQQQojmJcFgS1Mzg2cWaXS/jT6DDz74IC+++GKTt8/JycFisfDzzz83eZ9169aRkpJyIc1rVhkZGQwaNIjKyspL3RQhhBBCCCGaRILBFqZQT5noeUwtMXXqVBYvXlxn+dlBUnl5Oc8//zyjR48mOTmZ/v37M3XqVDZu3Ijb7VaPZbFYsFgsdOzYkQEDBvDAAw9QUFDgdewnnniCCRMm0K1bN4YNG1ZvuzIyMvjss8+47bbbznkNfo3++c9/MnnyZHr06IHFYqmz3mKx0KNHD15//fVL0DohhBBCCCHOnwSDLU1NDNZTJnqRBpApKytj8uTJpKWlMWPGDNLS0nj77bcZP348K1euJC8vT912woQJfP3113z11VekpqZy6NAhFixY4N1kReGGG25g/PjxDZ7zrbfeYvjw4fj7+/+itl+u7HY7w4cP59Zbb21wmwkTJvDOO+/grA7qhRBCCCGEuJxJMNjS6ikTrckSXqx5Bp999llycnJ49913mThxIu3btyc+Pp6JEyeyfv16wsPD1W3NZjPh4eFERkbSs2dPJk2axN69e72O98gjjzB16lTi4+PrPZ/L5eLDDz/kqquu8lr+/vvvM3HiRFJSUujXrx/33HMP+fn5DbZ727ZtWCwWvvjiC66//nq6devGhAkT2L17d51tt27dytixY+nRowdTp07l2LFj6rrs7GzuvPNOBgwYQI8ePbjhhhv44osvmnLpGnTvvfcyffp0OnXq1OA2AwYMoLS0lO3bt/+icwkhhBBCCNESZHbzWt46+R++K9/RvCdxunDONqH12Ya7k4mu+1xMqR44Rh1N1HDhH4vb7eaDDz5g3LhxREVF1Vlvqj2/4VmKi4v57LPPSE5OPq9zZmRkcPr0abp16+a13OFwcM8995CYmEhJSQlPP/00999/P2vWrGn0eMuWLeOhhx4iMjKSF198kZkzZ/Lpp59iNpsBT5Zu9erVPPnkkxiNRubPn8+jjz7Kq6++CkBlZSWDBw9mzpw5+Pj48MEHH3D33Xfz/vvvk5SUBMDChQv573//22g7Nm3aRHR0dJOvg9FopFOnTmzfvp3+/fs3eT8hhBBCCCEuBQkGL5VamcGajODFKBMtKSmhtLRUDXrOZe3ataxfvx5FUaiqqqJDhw688sor53XOvLw8NBqNV8YR4MYbb1T/PzY2lkcffZTRo0dz4sSJegPVGrNmzWLQoEEALF26lCFDhrBx40YmTZoEgNPpZOHChSQmJgIwffp0FixYgKIoaDQaOnbsSMeOHdXj3XnnnXzxxRd8/PHHzJo1C/Bk+mbMmNHo+4qIiDiPq3Bmn9zc3PPeTwghhBBCiJYmwWAtU1pNZkqryc16DtvRIxx7cT5B115F6acfAaBMvHjBoFJThtpEo0aNYvbs2QCcPHmS1atXc9ttt/Hee+/h5+fXpGNYrVb0ej1arXfV8Z49e3jxxRfZv38/p06dUpfn5eU1GgzWHgjHz8+PDh06cOjQIXWZ0WhUA0HwBGAOh4PS0lKCg4OprKzkxRdf5Msvv6SwsBCn04nNZvMa+CUsLIywsLAmvb/zYTKZsNlsF/24QgghhBBCXGyXJBi0WCyzgL8CrYE9wJyMjIwtDWw7AZgJpAA+wF5gSUZGxoYWau5FVhOsnUkNqpnB6jJRGukz6Ofnx+nTp+ssLysrw9/fn9DQUAIDA8nMzGxSawICAoiLiwMgLi6OJUuWMHDgQD744AM1E3cuISEhOBwOqqqq1FLOyspKZsyYQf/+/Vm+fDmhoaGUlJRwyy234KieQuNC6c+6PprqPpc1o6QuW7aMLVu2MG/ePOLi4jCbzcybN8/rvM1RJgpQWlpKTEzMee0jhBBCCCHEpdDiwaDFYvkDsAKYBXxd/d8PLRZL54yMjOx6dhkCfA48DBQDtwDrLRbL0IYCyMuZUjsW1OnA5ToTDLrO3WcwISGBzZs3qyWRNfbu3UtCQgJarZbRo0fz/vvvc9ddd9XJwNVkrRrqO6jTeUY2tVqtTX5PNYOqHDp0SO03mJWVRUlJCffddx+xsbEAfPLJJ0063o8//qjuU1lZycGDBxsdyfRsP/zwA+PHj2fEiBGA5z1nZ2d7DYDTXGWiBw8eZPjw4ee9nxBCCCGEEC3tUmQG7wfeyMjIeLn69d0Wi2UkcCfw4NkbZ2Rk3HvWoscsFssYYDzwqwsGqTXPoEavR3G5QB1A5txlojfffDNr1qzh8ccf56abbsJoNLJ582Y2bdrEypUrAbjvvvvYvn07kyZNYs6cOSQnJ2M0Gtm5cycvv/wyq1evpk2bNgBUVVVRWFgIQFFREStXrsRkMjFgwAD1nEePHqWyspKCggLsdjv79u0DICkpCaPRSGhoKF26dCE9PV0NBqOjozEajaxZs4ZbbrmFzMxMVqxY0aQr9M9//pPQ0FAiIiL4xz/+gcFgYOzYsU29wMTHx/Ppp59y9dVXo9fr+cc//lGndPN8y0Tz8vIoLS1V+wPWXIO2bduq5bQ5OTnk5+d7XTshhBBCCCEuVy0aDFosFiPQC3jmrFWfAOcz/GIAUHKx2tWiqlODGjRoTT64bDa1n19TppaIjY3lrbfeYsWKFUyfPh2bzUZiYiIrVqxgyJAhAAQHB7N27VpeeeUVXn75ZXJzc/H396ddu3bMmjXLq/Rx3bp1rFu3DoCgoCAsFgsvvfSSV5+8hx9+2Gu6hJos3f/+9z81qLzpppt499131UnnQ0NDWbZsGc8++yxr1qzBYrEwf/58br/99nNeogceeICnnnqKw4cP0759e1atWoWvr+8596sxf/58HnroIW655RYCAwO59dZbf3E/vhdeeIH169err2uuwZtvvkmfPn0AT1npgAEDpExUCCGEEEL8KmjOd8CRX8JisUQDucCQjIyMzbWWLwRuycjIsDS485lt7wKeArpmZGQcbWzb9PT0lntzTaTLP47/2rewpVyBvUMnzN98ReXwMSh+/pg/3IDxUAZlM2ah+DZt8JbLhd1uZ+7cucyaNctrJM/zsXfvXp544glWrVpFYGDgRW5h83I4HNx///3Mnj3ba6AaIYQQQgghLrVevXpp6lv+qxpN1GKxTASeBv5wrkCwRq9evZq3UefJmnWIHCAyMopWo8bAqDHquuPffEkF0L1nT3R+/pesjRfq+eefp7S09IKvubM6M9q9e3dCQ0MvZtOa3eHDh7nnnnuYPLl5R6NtqvT09Mvu3he/HXJ/ieYk95dobnKPieZ0Od5f6enpDa5r6WDwJOACIs9aHgmcaGxHi8VyI/AmMC0jI6PxYSB/DTR1g3O1TFT3q4rRVb17977UTbhkEhISSEhIuNTNEEIIIYQQosm0597k4snIyLAD6cC1Z626Fvi2of0sFstNwL+B2zIyMt5rvha2gEbKctXRRBvpM/hb1qdPHzIyMn51WUEhhBBCCCF+jS5F1PEs8G+LxbId+AbPHILRwCoAi8XyJkBGRsa06teT8QSCc4HNFoulZq4Ee0ZGRnELt/2XqzvN4JlV1ZlBqqd3EEIIIYQQQojm0qKZQYCMjIz/A+bgmTfwR2AgMLpWH8C21f9qzMQTtD4PHK/1b11LtfliUhqLBl1O0Om85g8UQgghhBBCiOZwSeoRMzIyVgIrG1g3tLHXv3rKmXkG66xyudBIVlAIIYQQQgjRAlo8Myg86kv+KU7nr3bwGCGEEEIIIcSviwSDLU1puExUcbl+t4PHCCGEEEIIIVqWBIMtrZEyUZxOGTxGCCGEEEII0SIkGLyM/Nozgw6HgxEjRrBjx44m77Nu3TpSUlLO6zzz58/njjvuON/mNbs1a9Ywc+bMS90MIYQQQgghmkSCwZbW2AAyTuc5B5CZOnUqixcvrrP87KCqvLyc559/ntGjR5OcnEz//v2ZOnUqGzduxO12q8eyWCxYLBY6duzIgAEDeOCBBygoKABgz549WCwWvv/++3rbMmfOHCZPnqy+Xrt2LREREb/JyedtNhvz589n3LhxdOnShalTp9bZZtKkSezevbvB6yWEEEIIIU2AyXIAACAASURBVMTlRILBFqacazTRi5AZLCsrY/LkyaSlpTFjxgzS0tJ4++23GT9+PCtXriQvL0/ddsKECXz99dd89dVXpKamcujQIRYsWABAly5d6NSpE2lpaXXOUVJSwmeffcaNN96ovq8333xTff1b43K5MBqNTJkyhSFDhtS7jdFoZNy4cbz55pst3DohhBBCCCHOnwSDlxHF6YSLMJros88+S05ODu+++y4TJ06kffv2xMfHM3HiRNavX094eLi6rdlsJjw8nMjISHr27MmkSZPYu3evun7SpEl89NFHVFRUeJ1jw4YNGI1GRo8eDcDu3bs5evQoV111ldd2zzzzDCNGjCA5OZlhw4axfPlybDZbg21PTU1l7NixvPvuuwwdOpTk5GRmzZpFcXFxnW3/9a9/MWjQIHr37s2DDz5IVVWVum7z5s3cfPPN9O7dmyuvvJIZM2aQmZl5fheyFl9fXxYvXswf/vAHoqKiGtxu2LBhfP75515tEUIIIYQQ4nL06+2g1gzeOnGS70rLm/UcisuI688PoPX1Q5txhL5B/kyJauVZ6XKi0f+yAWTcbjcffPAB48aNqzdoMZlMDe5bXFzMZ599RnJysrps3LhxLFu2jA8++IBJkyapy9977z1Gjx6Nr68vAOnp6bRt25bAwECvY5rNZp588kkiIyPJzMxk0aJFGI1G5syZ02A7cnNz2bBhAytXrqSqqoqFCxeyYMECVq1apW7z/fffEx4ezhtvvMHx48eZM2cO8fHxal/Cqqoqbr31ViwWC1arlX/+85/MnDmTTZs2YTQaARgzZoxXlvRs0dHRbNq0qcH19enatSsul4sff/yRfv36nde+QgghhBBCtCQJBluc0vCaizDPYElJCaWlpSQlJTVp+7Vr17J+/XoURaGqqooOHTrwyiuvqOsDAwMZPnw4aWlpajC4a9cuDhw4wBNPPKFul5ubS0RERJ3j33XXXer/t2nThjvuuIPXXnut0WDQarWybNkyoqOjAXjssce45ZZbOHLkCPHx8QD4+/vz2GOPodPpSEpKYuTIkWzdulUNBkeMGOF1zKVLl9KrVy927drFFVdcAcBLL72E0+lssB36CyjZNZvNBAQEkJOTc977CiGEEEII0ZIkGKxlSlSrM1m6ZlK552fyXv47oTdMIvT6iepyxe0GRfnFfQbVPolNNGrUKGbPng3AyZMnWb16Nbfddhvvvfcefn5+gKdUdNq0aWRmZpKUlERaWhodOnSge/fu6nFsNlu9WcePPvqIf/3rX2RnZ1NZWYnL5VIHsGlIZGSkGggCdO/eHa1WS2ZmphoMtmvXDl2twXYiIiL46aef1NfZ2dmsWLGCn376ieLiYhRFwe12c/z4cXWbmJiY87hSTWcymRothRVCCCGEEOJyIMFgS2tgABmlJkN1jtFE/fz8OH36dJ3lZWVl+Pv7ExoaSmBgYJP7xwUEBBAXFwdAXFwcS5YsYeDAgV5loVdeeSVxcXGkpaVxzz33sGnTJjWArBESEuLV1xDgxx9/5P777+euu+5i0KBBBAYG8vnnn7Ns2bImta0xZ2ftNBqNVyB8xx13EBUVxeLFi4mMjESn0zFmzBgcDoe6TXOUiQKUlpYSGhp63vsJIYQQQgjRkiQYbHE1ActZo4m6PMHgucpEExIS2Lx5M4qioKkVUO7du5eEhAS0Wi2jR4/m/fff56677qrTb7AmY9VQ38GabJvValWXaTQaJk6cyJtvvkliYiJWq5Xrr7/ea79OnTrx1ltv4Xa70Wo94xL98MMPREZGepWKNhZ81cjPz+f48eO0bt0a8JSlut3uJpe+lpSUkJWVxaJFi+jbty/gmSbj7JLQ5igTzc7Oxmaz0blz5/PeVwghhBBCiJYkwWALUxqIBRWXy7P4HAHIzTffzJo1a3j88ce56aabMBqNbN68mU2bNrFy5UoA7rvvPrZv386kSZOYM2cOycnJGI1Gdu7cycsvv8zq1atp06YN4BlopbCwEICioiJWrlyJyWRiwIABXucdP348K1asYPny5VxzzTWEhIR4re/Tpw82m42MjAw6deoEQHx8PPn5+WzYsIGUlBS2bNnCxo0bz3mNfHx8mDdvHg8++CBWq5VHH32UoUOHqiWi5xIUFERISAjvvvsurVu3Jj8/n+XLl9cJ7s63TPTQoUM4HA5KSkqoqKhg3759AOr7Bc/ANrGxsU1uqxBCCCGEEJeKBIMt7RxloueadD42Npa33nqLFStWMH36dGw2G4mJiaxYsUKd/y44OJi1a9fyyiuv8PLLL5Obm4u/vz/t2rVj1qxZXv3x1q1bx7p16wBPEGWxWHjppZdITEz0Om9kZCSDBw/miy++8BpVtEZISAjDhw9nw4YNanA0bNgwZsyYwZNPPonNZmPAgAHcc889PPbYY42+x5iYGMaMGcPMmTMpKSlhwIABLFmypNF9atNqtTz33HMsWbKEsWPHEhcXx7x587jnnnuafIz6/OUvfyE3N1d9PX78eAAyMjLUZZs2beKmm276RecRQgghhBCiJWjOd8CRX5P09HSlV69el7oZXip27eT4s8sIu/GPhIw9U2rpKDrJ0QdmE9B/EJF/uauRI1y+Dh48yLRp0/j000/x9/e/oGOkpqby8ccfNymDeLk5cOAAt912Gx9//DEBAQGXtC3p6elcbve++O2Q+0s0J7m/RHOTe0w0p8vx/qpuk6a+dTLpfEtrqEy0iQPIXM7at2/PvHnzfrfTKhQUFLBs2bJLHggKIYQQQgjRFFIm2tIaKBOliX0GL3c1pZO/RwMHDrzUTRBCCCGEEKLJJDPY4upPDZ7pM/jrDgZ/qbvvvvtXWSIqhBBCCCHEr40Egy3tHGWiGv2vt0xUCCGEEEKI/9/enUdHVeR/H3+HHRMYiEAAQZYABcgeo4JxUMYFkdEMiiPKEgR1RHRGEEEWAcGIgEQeFkVkBtlcWRRFRQcBQXAgM4g/lgLZIbKHABKBJP38cTtNZ++QpBPI53VOTtJ161bVvSlCf7vqVsmVQ8Gg32UxMpic+sxg8R4ZFBERERER/1Aw6GeX9hnMYproFf7MoIiIiIiIXBkUDPqbOxpMv36MZwEZjQyKiIiIiIgfKBj0uxwWkNEzgyIiIiIi4gcKBv0tqwVkNDIoIiIiIiJ+pGDQ37LYZ/DSAjJX9shgQkIC7dq1Y//+/T6fM2XKFDp37pyrenr06MErr7yS2+YVuNdff50xY8YUdjNERERERHKkYNDvshgaTPJt0/msgqBFixbRunVrz+uzZ8/y5ptv0qlTJ1q0aEG7du3o0aMHn3/+OSkpKZ6yjDEYY2jcuDG33norAwcO5OjRo55yDh48iDGGn3/+OUOdTz31FEOGDEmT9vbbb9O+fXuuv/76bK/jSnT06FEGDhxIx44dadKkSYZrB3jiiSdYvHgxBw4cKIQWioiIiIj4TsGgv2U5TTR10/m8jwyePn2aRx55hIULF9KnTx8WLlzIggULiIyMZPr06cTFxXnydunShTVr1rBq1SqmTJnCL7/8wtChQy+r3sTERD755BMefPDBPF9DUXThwgUqV67Mk08+ScuWLTPNExwcTEREBAsWLPBz60REREREckcPqPmZK4d9BvNja4lJkyZx8OBBvvrqK6pXr+5Jr1u3bobpmOXLl6dq1aoAhISE0LVrV6ZPn35Z9a5atYqAgADCwsI8acnJyYwYMYL169dz/PhxqlevTteuXenTpw8lSmT+WcSQIUOIj4+nZcuWzJs3j8TERDp27MjIkSMpV66cJ19KSgqTJk3iww8/pESJEkRGRjJo0CBPuZ9++ilz5sxh9+7dlCtXjvDwcIYNG0ZISMhlXV+tWrUYPnw4AF9//XWW+Tp06MCkSZMYPHjwZdUjIiIiIuIPCga9fDDvOBvWny3QOlwXgkn+fSAlPwgiYMlewm8J4pHuVTyrieb1mcGUlBSWLVvGn//85zSBYKqyZctmee7Jkyf59ttvadGixWXVvXHjRm644QYCvJ6HTElJISQkhDfffJPg4GA2b97Myy+/TKVKlejatWuWZf3nP/+hbNmyzJ49myNHjjB06FAmTpzoCcYAli5dSs+ePfnggw/Ytm0bL7zwAjfccIMn4L148SLPPfcc9evXJz4+ngkTJjBgwADmz5/vKcN7am1mwsLCePfdd3N1H5o3b86RI0fYv3//VTldVkRERESuDgoG/c2VRXqy8xxfXqeJxsfHk5CQQGhoqE/5P/roIxYvXozL5SIxMZFGjRplGvx07949w0je+fPnuf/++z2v4+LiqFatWpo8pUuX5u9//7vnda1atdi6dStffPFFtsFgyZIlee211wgMDKRRo0a88MILDBs2jAEDBnDNNdcA0KBBA0/Z9erV4+OPP2bdunWeYPChhx7ylFe7dm1GjRpFp06dOHz4sCdQXrJkSbb3x3sk0lepI4+HDh1SMCgiIiIiRZaCQS+PdK/CI92rFGgdZ9av5cjbU6j6aB/+0OEuT7orJXVribwFgy5XVtFm5u6991769+8PwPHjx5kxYwZRUVF88sknBAYGevK98cYbNGzYMM25I0aMSPP6/PnzVKmS8f69//77fPzxx8TFxXH+/HkuXrzIddddl227jDFp6m/dujUXL15k//79NG7c2JPHW7Vq1Thx4oTn9ZYtW5g6dSrbt2/n1KlTnvS4uDhPMFinTp1s23E5Ukdff//993wvW0REREQkvygY9Lcst5ZwgkFKZB8MBgYGcubMmQzpp0+fJigoiODgYCpWrMiuXbt8ak6FChU8AVGdOnV49dVXiYiIYNmyZWlG7kJCQjIETuXLl0/zulKlSiQkJKRJW7ZsGdHR0QwePJjWrVsTFBTE/Pnz+fbbb31qX3ZKpXu+MiAgwBMMnzt3jj59+tCuXTvGjx9PcHAw8fHxPPbYY1y8eNFzTkFME029B8HBwbk6T0RERETEnxQM+lsWq4mSuul8qeyDwXr16rF69WpcLleaZ/O2bt1KvXr1KFGiBJ06deLTTz/lmWeeyfDc4Pnz54Gsnx0s6R6ZvJxRraZNm7J48eI0abGxsbRs2ZLu3bt70nzZg3DHjh2cO3fOMyV006ZNlC5d2udpl7t37yY+Pp7nn3+e2rVrA7B8+fIM+QpimujOnTspXbo0jRo1yvW5IiIiIiL+oq0l/C6r1UTdwWAOI4OPPvooBw4cYMyYMWzfvp3du3cze/ZsvvjiC/r06QPA888/T40aNejatSsLFy5k586d7Nu3jyVLltClSxeOHTvmKS8xMZFjx45x7Ngxtm/fzqhRoyhbtiy33nprrq8sIiKCXbt2ER8f70mrW7cuW7ZsYdWqVezdu5dp06axYcOGHMtKSkpi6NCh7Ny5k7Vr1/LGG2/w8MMPe4LDnNSsWZMyZcowf/58Dhw4wMqVK5k8eXKGfHXq1Mn2K/3Ko9u2bWPbtm2cPXuWU6dOsW3bNn755Zc0eTZu3EhYWFiGkVMRERERkaJEI4N+5spimijuZwZzWk20du3azJs3j8mTJ/P4449z/vx56tevz+TJk2nfvj3gTNf86KOPePfdd5k5cyaHDh0iKCiIBg0a0K9fP2rWrOkpb9GiRSxatAiAP/zhDxhjeOedd6hfv36ur80YQ4sWLVi2bBmPPfYYAH/96189K326XC7uvvtuevfu7akzKzfddBMNGjSgZ8+e/P7779x9990MGjTI57YEBwfz+uuvM2nSJObPn48xhiFDhtC3b99cX5e3yMjINK+/++47rrvuOlasWOFJ+/zzz3nuuefyVI+IiIiISEELyO2CI1eS2NhYl/eed0XB6bWrOTpzOtV6P0nF9h086cc/mMeprz6n1stjKVe/QSG2MG9Wr17Nq6++yrJlyzxTTnMrdZ/BGTNm5HPrCt7KlSsZP348n332WYZnGv0pNjaWotb35eqh/iUFSf1LCpr6mBSkoti/3G1K/5AaoJFB/8tqAZkU3xaQKer++Mc/snfvXg4fPpzjiqFXo3PnzvHaa68VaiAoIiIiIuILvWP1t6ymiebTPoNFQc+ePQu7CYWmU6dOhd0EERERERGfKBgsIjwLyFwFwWBejRs3rrCbICIiIiJy1dNqov6WxwVkRERERERE8oOCQX/LYdP5gBL6lYiIiIiISMFT5OFnWa3d6gkGtfCIiIiIiIj4gYJBf3OPDAZkWEAmdTVR/UpERERERKTgKfLwu9Sxwcy3lggoqZFBEREREREpeAoG/S3zWBCXZ2sJ/UpERERERKTgKfLwtyz3GUxyvl/hm86LiIiIiMiVQcGg32U1TdT3TeeHDBnCU089lSbtu+++o2XLlsTExDBlyhQ6d+6c5fkdOnRg1qxZGdIzO+/48eOMHTuWO++8k2bNmnHbbbfRt29fVq1alaY8YwzGGJo0acJtt93Gyy+/zNmzZ3O8FhERERERKRx6QM3fspommuQeGbyMfQaXLFnC8OHDGTRoEL169WLKlCl5a6PbwYMH6datG4GBgQwYMIDGjRvjcrlYt24dI0eOZOXKlZ68zzzzDN26dSMlJYVdu3YxdOhQAgICGD16dL60RURERERE8peCQT9zZbnpfAqUKJFxldEczJ49m4kTJ/Lqq6/ywAMP5FMrHamB3MKFCwkMDPSkh4aGcv/996fJGxgYSNWqVQEICQnh3nvvZePGjfnaHhERERERyT8KBr0cn3eYs+sTCrSOlN9D4Pf+HHs3kBNzLEG3/IEq3avjSk4iIJfPC8bExDB79mymTZtG+/bt87Wdp06d4vvvv+cf//hHmkAwVcWKFbM8Ny4ujjVr1nDzzTfna5tERERERCT/KBgsKpJToJTvweDatWtZuXIlM2bMyPdAEGD//v24XC5CQ0N9yh8TE8PUqVNJTk7m/Pnz3HjjjTz//PP53i4REREREckfCga9VOlenSrdqxdoHae++ZLj89+j2hPPExTewpPuSk7O1chgo0aNOHPmDFOnTqVNmzbZjtRdDs90Vh/17t2bhx56CJfLxa+//kpMTAxPPfUUc+bMoUQJrVMkIiIiIlLU6F26v2XxzKArJdmnlURTVa1alXnz5nHmzBmioqJISPB9emtgYCBnzpzJkH769GmCgoIAqFOnDgEBAezatcunMitVqkSdOnWoW7cubdu2ZejQoWzYsIEff/zR53aJiIiIiIj/KBj0tyxWEyU5OdcriYaEhDB37lwSExOJiooiPj7ep/Pq1avHli1bMqRv3bqVevXqAU5wFxERwbx58/jtt98y5D19+nS2daSOBiYmJvrUJhERERER8S8Fg36XxT6DyckEXMZ0ymrVqjF37lwuXrxIr169OHnyJADnz59n27Ztab727NkDQFRUFGvWrGHatGn88ssv7Ny5k5iYGDZt2kRUVJSn7JEjRwLw4IMP8uWXX7J792527drFggULMqwm+ttvv3Hs2DGOHj3K5s2bmTBhAsHBwbRu3TrX1yQiIiIiIgVPzwz6medRvAxbSyRDycv7dVSpUoU5c+YQFRVFr169CAsLY//+/URGRqbJd8MNN7Bo0SLatGnDzJkzmT59Ou+99x4BAQE0atSI2bNnY4zx5K9duzaLFi1ixowZTJw4kSNHjlCpUiUaN27MK6+8kqbsadOmMW3aNACCg4Np3rw5//znP6lcufJlXZOIiIiIiBQsBYP+5o4G08eCrqRkSpQp61MR48aNy5AWHBzMZ5995nk9atSobMuIiIggIiIix7qqVavGiBEjGDFiRJZ5VqxYkWM5IiIiIiJStGiaqN9lMU00JSVXC8iIiIiIiIjkhYJBf8tyAZkkyOWm8yIiIiIiIpdLwaDfZbWATAoBudh0XkREREREJC8UDPpbNvsMamRQRERERET8RcGgv2Wzz2BASf06RERERETEPxR9+Jkrk2jQlZICLhcBl7m1hIiIiIiISG4pGPS3zKaJJic73y9j03kREREREZHLoejD3zKJBV0pTjCokUEREREREfEXBYN+l8k00aTUYFC/DhERERER8Q9FH/6W2TRR98gg+bDp/MGDBzHG8PPPP+e5LCkYixYtonXr1lm+FhERERHxB81LLCze00TdzwwG5LC1hDEm2+N/+ctf6N+/f56bdqVLTk5m1qxZLF68mLi4OMqUKUPt2rWJjIykZ8+ehd28DDp16kT79u0LuxkiIiIiUswUSjBojOkHDAJqAFuAf1hrv88mf3tgEnADEAeMt9a+7Y+25jtXJtNEU4PBHEYG16xZ4/l55cqVDB8+PE1auXLlSEhIyL+2XqGmTp3KggULePnll2nRogXnzp1j27ZtHDp0qLCblqly5cpRrly5wm6GiIiIiBQzfp8maoz5KzAZiAZaAz8AXxpjrs8ifz1gmTtfa+A1YIox5kH/tLiApJkmmuJ8zyEYrFq1querQoUKWaYBxMXF0bt3b1q2bEmnTp1Yu3ZtmrI2bNhA165dad68Oe3atSM6OpoLFy54jvfo0YORI0cybtw4brrpJm655Rbee+89Lly4wOjRo7nxxhu5/fbbWbJkieec1CmqS5cupVu3bjRv3pyOHTumCVgvXrzI2LFjiYiIoFmzZrRv356JEyd6jickJDB48GDCw8Np0aIFUVFR7Ny503M8dUrlunXr6Ny5M61ataJHjx4cOHDAk2fFihU88sgj3HfffdSuXRtjDJGRkTzzzDOePJs3b+bxxx/n5ptvpk2bNnTr1o3//e9/ae6RMYYFCxbw9NNP07JlS+655x7Wr1/P4cOH6dOnD61ateKBBx5gy5YtGdq3YsUK7rnnHpo3b56hfemlnyY6ZcoUOnfuzBdffMGdd95J69at6devHydPnvTkSUpKIjo6mvDwcMLDw4mOjmbkyJH06NEjy3pERERERLwVxsjgAGC2tXam+/WzxpiOwNPAS5nk/xsQZ6191v16mzHmZuAFYGF+Nuz4B/M4u2F9fhaZQcq5cwAceev/EVC6NEHht1Dx9g5AztNEcyMmJoYXX3yRkSNH8tZbbzFgwABWrFhBYGAgR44c4YknnuD+++9n3Lhx7N+/n+HDh1OiRAmGDBniKWPp0qX07t2bjz76iBUrVhAdHc3333/PbbfdxsKFC1m8eDHDhw+nXbt2VKtWzXPehAkTGDJkiCeY6tevH9988w0hISHMnTuXb775hpiYGK677joOHz7Mnj17POcOGTKEPXv2MH36dCpWrEhMTAx9+/bl66+/9oyeXbhwgRkzZhAdHU2ZMmUYMmQIo0aNYtasWQBUqVKF//znPxw/fpwqVapken9+++037r//foYNGwbA/PnzefLJJ1m+fDmVK1f25HvrrbcYPHgwgwcPZsqUKQwYMIAmTZrQrVs3hg8fTnR0NEOGDGHp0qWecy5cuMDUqVOJjo6mfPnyvPrqq/Tv358lS5YQ4P0hQDYOHTrEsmXLmDp1KomJiQwYMIA333yTV155BYB//vOfLF68mLFjx9KwYUMWLFjA559/TtOmTX0qX0RERETEryODxpgyQBiwPN2h5UC7LE5rm0n+r4EbjTGl87eFBS91G4nks2dIio/n9OrviJv4mnOwVP4Fg1FRUXTo0IG6desyYMAATp06xbZt2wBYsGAB1apVY9SoUYSGhnLHHXcwcOBA5s2bR2JioqeMhg0b8uyzz1K3bl169+5N5cqVKVWqFL169aJOnTqekbb//ve/aeru1q0bnTp1IjQ0lGHDhlGjRg0WLFgAOCOWdevW5cYbb6RmzZq0adOGBx90Bnn37t3LihUrGDNmDOHh4RhjmDBhAmfPnk0TbCUlJXmmgDZu3JjHH3+cH3/8EZd7Cu5LL71EQkICERER3HfffQwbNozly5d7jgO0bduWyMhIQkNDCQ0NZcSIEZQtW5bVq1enuZbIyEg6d+5M3bp1eeqppzhx4gQRERHceeed1KtXj759+7Jjx44Mo3bDhg0jLCyMpk2bMn78eHbs2MG6det8/v0lJSUxbtw4GjduTOvWrXn44YfTnD9nzhyeeOIJ7rnnHurXr8+wYcOyDHxFRERERDLj75HBKkBJ4Ei69CPAnVmcUx34NpP8pdzl/ZpdhbGxsb63rmET56sAlYn9kXLr1+AqWxYCAkjBBed+g8Agfi17DQd8bO/u3buBjNd37NgxAFwul+dYahC0YcMGAgICiI2NpXbt2mmmRZYtW5aLFy/y1Vdfcf3113PmzBlq1KiRpvxrrrmGihUrpkkrX748mzZtomrVqp66AwMD0+SpVasWsbGxxMbG0rhxYxYvXkz79u1p0aIFrVq1omXLlpQoUYLY2FgCAgJISUlJc37NmjVZu3Yt9evXZ+/evZQuXZr4+HhPnlOnTnHx4kVWr15NUFAQAKNHj2bPnj1Ya9m+fTuLFi2iefPmDBo0iBIlSpCQkMDHH3/M1q1bSUhIICUlhQsXLrBx40Zq1ap16fdVpoynntOnTwN47iHAkSNOV/7++++pVasWe/fuJSAggKSkpDTXUKlSJb777jvKli3L3r17SU5O9hxP/zouLo5rr72WHTt2eM4/d+4cx44dIzY21vNzuXLlMtznEydOeNJy1fdFckn9SwqS+pcUNPUxKUhXUv+66lcTDQsLK+wmpBUWRmzYzXluV2rglb6cgwcPAtCsWTOaN2+e5li9evUICwujUqVKlC9fPs25+/btA6Bp06YYY6hQoQI1atRIk+eaa66hdu3aadLKlClDrVq1CAsL89TdsGHDNHmCg4NJTEwkLCyMsLAwz3OE69atY+bMmTRu3Jh//etfnDp1ioCAANq0aUPp0pcGfYOCgqhevTphYWHs27eP0qVLpyk/KSkJgObNmxMcHOxJDw8P9/z86aef8uKLL5KSkkJ4eDh9+/blxIkTjB49muuuu44yZcoQFRVFtWrV0pTtfS2po39NmjTxpFWqVMmT1qhRI/bt20dAQABhYWGUKnXpn1fqiqap6zp30QAAEmBJREFU11CyZElPGelf//DDDwQFBWX4/aSWe+bMmSzv84ULFwgLCyM2Nrbo9X25aqh/SUFS/5KCpj4mBako9q/sglN/LyBzHEgGQtKlhwCHszjncBb5k9zlSS6Fhoby008/kZK6cA1OJyldujTXX5/pOj658tNPP3l+drlcbN68mdDQUE9aUFAQHTt2ZPTo0bzzzjusX7+effv2ERoaSkpKCps2bfLkPXv2LDt27Ehz/uVo0KAB4IywgXO93bt35/bbb6dhw4YEBgZ6Auy8SklJYfPmzZ7XcXFxHD16NM/XkKpChQpUrVo1zV6SLpdLe0uKiIiISK74dWTQWnvBGBML3AV87HXoLrJeDGYd8Jd0aXcBG621F/O/lVe/Rx99lPfee49Ro0bRq1cvDhw4wBtvvEH37t0pX758nst///33qVu3Lo0aNWLBggXExcXRrVs3AP71r39RtWpVmjRpQqlSpVi6dKln5K98+fL86U9/4uWXX2bMmDFUqFCBmJgYgoKC+POf/+xz/c899xxt2rShdevWVKlShYMHDzJp0iSqVKniWbWzXr16fPbZZ7Rs2ZJz584xYcKENKOReVGqVCmio6MZNmwY5cqVIzo6mgYNGtCuXVaPxeZez549mTVrFvXq1SM0NJQPP/yQY8eOUbVq1XyrQ0RERESuboUxTXQSMNcY8x9gLc5qoTWBtwGMMXMArLWpu4O/DfQ3xrwJzABuBaKAbv5t9tUjJCSEmTNnMn78eB544AEqVqxI586dGTBgQL6UP3DgQGbPns2WLVuoWbMmU6dOpXr16oDzPOGsWbM8z9Y1bdqUmTNneoLQ1157jejoaJ5++mnOnz9PmzZtePfdd3O1D19ERATLli3jnXfe4fTp01x77bW0adOGsWPHeqZ1RkdHM2LECLp06UK1atXo378/8fHx+XL9ZcqU4W9/+xuDBw8mLi6OVq1aMXXqVJ9XEvXF448/zrFjx3jppZcICAigS5cu3HXXXRw/rsFyEREREfFNgPcKi/7i3nT+RZxN5/8PeN5au9p9bCWAtfZ2r/ztgRgubTr/ui+bzsfGxrqK2pxdKJpzifPDwYMH+dOf/sQnn3yS4XnF4mLRokWMGTMmw56F/hAZGUlYWBgjRoy4avuYFA3qX1KQ1L+koKmPSUEqiv3L3aZMRyUKZQEZa+10YHoWx27PJG0V0KaAmyVyxTh06BBr1qwhPDycpKQkPvroI6y1jBkzprCbJiIiIiJXiKt+NVGRq1GJEiVYsmQJ48ePJyUlhQYNGjBz5sxiOyIrIiIiIrmnYFDyTa1atbDWFnYzClWXLl3o0qVLgddTo0YN3n///QKvR0RERESuXv7eWkJERERERESKAAWDIiIiIiIixZCCQRERERERkWJIwaCIiIiIiEgxpGBQRERERESkGFIwKCIiIiIiUgwpGBQRERERESmGFAyKiIiIiIgUQwoGRUREREREiiEFgyIiIiIiIsWQgkEREREREZFiKMDlchV2GwpMbGzs1XtxIiIiIiIiPggLCwvILP2qDgZFREREREQkc5omKiIiIiIiUgwpGBQRERERESmGFAyKiIiIiIgUQwoGRUREREREiiEFgyIiIiIiIsWQgkEREREREZFiSMGgiIiIiIhIMVSqsBtQ3Bhj+gGDgBrAFuAf1trvC7dVUtQZY14CugAGOA+sB16y1v6fV54AYCTwJFAZ+BF4xlq7xStPZeD/Afe7kz4DnrXWnvLHdUjR5+5r0cA0a21/d5r6luSJMaYGMA7oBFQAdgNPW2tXuY+rj8llM8aUBEYB3XHeX/0KzAdGWWuT3HnUx8Qnxpg/Ai8AYUBNoLe1drbX8XzpS8aY5sBU4CbgJDADGGOt9esm8BoZ9CNjzF+ByThvtFoDPwBfGmOuL9SGyZXgdmA60A7oACQB3xpjgr3yvAgMBJ4FwoGjwDfGmApeeRYAbYCO7q82wNyCbrxcGYwxt+D857Y53SH1LblsxphKwFogALgPaILTl456ZVMfk7wYDDwDPAc0Bv7ufv2SVx71MfFVEPB/OP0oMZPjee5LxpiKwDfAEXcZf8cZLBqQz9eSowCXy6/BZ7FmjPkR2GytfcIrbSfwibX2pazPFEnLGBMEJACR1tql7k+p4oCp1tpX3XnK4/yBesFaO8MY0wTYCkRYa9e680QA3wONrbW2MK5FigZjzB+A/wJ9cT7x/D9rbX/1LckrY0w00N5ae2sWx9XHJE+MMZ8DJ6y1vbzS3gOutdZ2Vh+Ty2WMOQv0Tx0ZzK++ZIx5GngdCLHWJrrzDAeeBmr5c3RQI4N+YowpgzPcvDzdoeU4oz0iuVEB599vvPt1PaA6Xv3L/cdlNZf6V1vgLM6IdKq1wG+oDwq8g/PB1Hfp0tW3JK8igR+NMR8aY44aYzYZY1I/aAD1Mcm7NcAdxpjGAMaYpjizaJa5j6uPSX7Jr77UFvg+NRB0+xpnWmrdgmh4VhQM+k8VoCTOcLC3IzidSiQ3JgObgHXu16l9KLv+VR045v1pk/vno6gPFmvGmCeABsDwTA6rb0le1Qf64TwneA/O369xONP4QH1M8u51nCl4W40xF3HWZHjPWjvdfVx9TPJLfvWl6lmU4V2HX2gBGZErjDFmEhCBM/0gubDbI1c2Y4zBeY45wlp7sbDbI1elEsBGr8ch/meMaYgTDE4tvGbJVeSvQE/gUZxAsBUw2Rizx1o7q1BbJlLEaWTQf44DyUBIuvQQ4LD/myNXImNMDNAN6GCt3e11KLUPZde/DgNVvaZmpc59r4b6YHHWFmfmwhZjTJIxJgloD/Rz/3zCnU99Sy7XrzjPz3jbBqQunqa/X5JXE4CJ1toPrLU/W2vnApO4tICM+pjkl/zqS4ezKMO7Dr9QMOgn1toLQCxwV7pDd5F2TrFIpowxk7kUCG5Pd3gPzh+Pu7zylwNu41L/WoezQlZbr/PaAoGoDxZnS4DmOJ+kp35tBD5w/7wD9S3Jm7U42+J4awTsc/+sv1+SV9fgfODuLZlL73PVxyS/5FdfWgfc5j431V04i9PsLYiGZ0WrifqRe2uJuTjPTqwF/gb0AW6w1u7L7lwp3owx04AeOAsxeH/CftZae9adZzAwFOiN8wZ+OPBHwFhrz7jzfAnUwtk+AJxFQ/Zaa//sj+uQK4MxZiXu1UTdr9W35LIZY8Jx3gCNAj7E2VrpXWCotXaaO4/6mFw2Y8xs4E7gKZxpoq1x+scca+1Adx71MfGJe8X2Bu6XP+A84/wZcNJauz8/+pJ7BW8LrATG4nxANhsYba19o4AvMQ09M+hH1toPjTHX4nSaGjh7mHRSICg+6Of+/u906aNx3mABjAfKA9O4tAnq3al/mNweBabgrFgFzh+3/gXQXrm6qG/JZbPWbjDGROI8mzoC2O/+Pt0rm/qY5MWzwBicPlUNZ2ryTOAVrzzqY+KrGwHvlbVHu7/eA6LIh75krU0wxtzlLmMjzurwb+BMb/YrjQyKiIiIiIgUQ3pmUEREREREpBhSMCgiIiIiIlIMKRgUEREREREphhQMioiIiIiIFEMKBkVERERERIohBYMiIiIiIiLFkIJBERERERGRYkjBoIiIiIiISDFUqrAbICJytTLGuHzINtpaO6qg2+Jv7msfZK2d6H49CnjBWhtUqA1zM8ZEAjWttdPzUMb1wOPAVGvt8Xxr3KXyGwAvALcAzYDt1tpm+V1PQTHGtAFifcja2Vr7RT7V6fM9M8Y0BKYAEUAi8AEw2Fp7riDziYgUJQoGRUQKTtt0r9fhvFlc4JV20H/NKVTvAvnyhj+fRAI3ApcdDAIdgGHAuHxpUUY3APcBP+LM5LnSZvPsJe2/gW7Ac0AnIN4r/ad8rNOne2aMqQR8B+wDHgKqAZOAqsAjBZVPRKSoUTAoIlJArLXrvV8bYwD2p08vDqy1BynAwNcYEwCUtdb+XlB1ZKIVYAuwzqXW2k8BjDGzcYLXK4a19iTg6evGmD7ACWvtlwVYra/37CmgMtAqdVTXGJMEzDfGjLHWbimgfCIiRYqCQRGRIsAYcxMwlksjKcuBv7uDKO83tn8H3gAMsAnoDRwCpuKMdp0Cxllr3/IqO/XcgcBEoCGwBehvrV3nla+J+/gtQHl3ufOstaNzaHtvYARQA9gAPJ1JnlF4TRP1pS5jTFtgtDtPALAVGG6t/cbrmgbgjMw1A/oAc3O6n+5ze7nzpU7lfc9aG5Xddaa7ngNArXRlPJOXaafpWWtT8qusIqI58HNBVpCLe9YJ+He66b0LgX8C9+L8+yiIfCIiRYqCQRGRQuYOXFYD3wCPAaWBUcDXxpgW1tpkd9bqwJvAq8DvONPQPsSZmvYzzvS0h4HpxpgfrbX/9aqmBvC2u9xTwEvu8htYa4+68ywFjuEEVaeAUJzAMbu234vzhnceMB8nKFviw2VnW5cx5lZgBc50v77uPDcC13uVUdN9TWOBPcCv7nOzvZ/AGJzpe43dx3G3JTceAr7i0nUDWO8M7tHKkj6UlWyt9eX50iuW+140w+krvuQt6PvWJH1brLXnjTG7cPpFQeUTESlSFAyKiBS+8TijfPenvrk1xmwEduA8ZzXPnS8YuMNa+7M7TyXgX8Baa+0wd9pK4EGgK+AdDAYDXa21K9z5VgMHgOeBl4wxVXACsuettUvd56z0oe0vAz9Ya3u4X39ljEnBGb3MlI91jQd+cV9vajC8PF2eyjiLj/yQyblZ3k9r7TxjzDGgTh6m7O4CKgFfZVNGL5zfT07uwLd7fSULBQKBzT7k9cd9q4zzAUN68Tj/Vgoqn4hIkaJgUESkEBljyuOsPjgIKOl+rhCcaZMWuIlLweCvqYGg2w73d0+QZK29aIzZC9ROV1VCaiDozhdvjFkB3OxOOoEzwviaMeZanClvB3Joe0mc0boX0x36hGyCwZzqMsZcgzM19CWvQDDTctIHgrm8n3nR0v09u8VPlgLhPpRlc85yxWvu/u5LMKj7JiLiJwoGRUQKVzDOlLhJ7q/0dnv9HJ/u2AX39/QjEheAcunSMpsGeQT31ExrrcsYczfOlMspQJAx5idgoLX231m0vSrO/yNH06UfySI/PtZVGWcVyLjsysmintzcz7xoCZxMfaYzCyeBBB/Kyi7gvVq0AFLw7dk5f9y3eJyR3fQqA9sLMJ+ISJFypS1TLSJytTkFuIBonNGQ9F8v5FM9VTNJC8H9nB2AtXaHtfZhnDewt+G8Kf/MPXqXmWNAEs4y+unLzVYOdZ3CCRxq5lBMZs+L+et+tiLnLRF6ARd9+GqfT20qyloAu621v/mQ1x/3bRvOc34expiyONNZtxdgPhGRIkUjgyIihcha+5sx5gegaepzfwXkD8aYDl7PDFbG2SdvSiZtSgLWGGPGAv8G6uBM7UyfL9kYE4uzmEqM16GHfG1UZnVZa/9rjFkH9DTGvJHDVNH05fl6PzMbPc2Nxjgrp2ZH0x0vaY5vU0TBP/dtGTDCGHOttTa1b/8FKOs+VlD5RESKFAWDIiKF7wXgO2PMJzgb0p/EGRW7A/jCWuvL6pw5OQnMcm/xEA8MxRlBexPAvcpm6uqku4AgnGcB43C2dMjKGOBzY8xcnGfxmpHJ1hLefKxrCM5qov82xkxzt7kNcNxam9OKlL7cz21AH2PMYzhBxXFr7V5jzO04m4f3ttbOzqaO00BbY8wdQCKwKf1+g+6gIEMQ7Sv3s5Od3C/rABWNMamB9gZr7T53vmzbbIzpibPS5Z+statyc9yHc7Ot2+s6QnF+FznKy33z9Z4BM4BngU+NMWO4tEn8h9Za7/6e3/lERIoUTRMVESlk7tUobwXKALNwtiwYg/M3Or/2J/sV6IcTdH3srqujtTb1ubvDOMHYEOAL4F2caaB3ZrepurX2C5ytHyKAT4EuOCMi2cmxLmvtGuB2nOmis4FF7nL3ZSwuQ5t8uZ+zgI+AyTgjfKPc6YFebczOMJxnE78G1uLbVgi5VQ3nd/Uxzr2o7fX6Dq98ObW5hLt9AZdxPKdzfblfN7jL8XVkMC98umfW2lM4I+NncfpWDM6HE497F5bf+UREipoAl+uq3tpIRKTYS92g3VrbrLDbUtS5R3X+AjS/Uvb+K8w2X4n3S0RELtHIoIiIyCW3AtFXWGBTmG2+Eu+XiIi4aWRQROQqp5FBERERyYyCQRERERERkWJI00RFRERERESKIQWDIiIiIiIixZCCQRERERERkWJIwaCIiIiIiEgxpGBQRERERESkGFIwKCIiIiIiUgwpGBQRERERESmG/j/+xx02x6T7SgAAAABJRU5ErkJggg==\n", "text/plain": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=1, bar_style='info', description='Algorithmes', max=1), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "CPU times: user 2.75 s, sys: 45 ms, total: 2.79 s\n", "Wall time: 2.76 s\n" ] } ], "source": [ "%%time\n", "N = len(algorithmes)\n", "recompenses, choix = np.zeros((N, horizon)), np.zeros((N, horizon))\n", "\n", "for i, alg in tqdm(enumerate(algorithmes), desc=\"Algorithmes\"):\n", " rec, ch = simulation(bras, alg, horizon)\n", " recompenses[i] = rec\n", " choix[i] = ch" ] }, { "cell_type": "code", "execution_count": 47, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "(array([[1., 1., 1., ..., 1., 1., 1.],\n", " [1., 1., 1., ..., 1., 1., 1.],\n", " [1., 1., 1., ..., 1., 0., 1.],\n", " ...,\n", " [1., 1., 0., ..., 1., 1., 1.],\n", " [1., 1., 1., ..., 1., 1., 1.],\n", " [0., 0., 1., ..., 1., 1., 1.]]), array([[0., 1., 2., ..., 0., 0., 0.],\n", " [0., 1., 2., ..., 1., 1., 1.],\n", " [0., 1., 2., ..., 0., 0., 0.],\n", " ...,\n", " [0., 1., 2., ..., 0., 0., 0.],\n", " [0., 1., 2., ..., 0., 0., 0.],\n", " [6., 8., 3., ..., 0., 0., 0.]]))" ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ "recompenses, choix" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On affiche et vérifie les résultats attendus :" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "data": { "image/png": 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s9DDJl3ZJP9wW7nRul/IbgDO87/i+/yal1KeBZ6NHYvwxesj3T/nzf4Pvn9Evhf4Z+DZ6dEGM7vVdrdFdy/kbX+xxPdP76WvRi8Z0YhTA9/2PKqW+gT5HT0PPh3y1Uuo6f5W/YSkIK4mIQUFYv6RL2e8wbvr2e9QMYVsKiy2b5ltoifylDBk9ADxVKdXfNtznUvQf8v1LqGsx7fS29Q52WsBhjM7Dv3Ytky3zMQpMAe5pnMfFkp7Hg77v37VA3jH06pTt7GJ5egguVkrZbb0u6TnZv4jyv2DseHZ2qHLbEGoATBs3m+3VSqnfRg+DfA6ZIb1tZOcLvgTdO5POJfsoWvx93oSXe74gLO74HEAvMuW09Q7uacuX9rq0n8/luK4PAFfNY+tycj96iORXzmB4+lJ+A4tlXlvM0Po3AW9SeuXV29ELHt08T7FfQA+Pflk2Uik1iF5wpxvH0YuBXdIhrT3uAFo8XYoeIpu20Ye+3j/H6XG652Y5Sc/z1GLup77vH0XPMXy7mev53+i5lyIGhXMWmTMoCGscpdSPd5nj9EzjpsOcvoR+a/w6pb/B1l7PfCtELqqsWXjja8B1SqmHteXJvslN53UtNHQT9IOGjX4LmyWdxP95locvmHbSFe7SIYC/2yHv/cCe7DFTejXXxaw8eUaYh/mPoee2zVnFboHzuFg+jn6j/idq7kqB6WcKUu4HHpe9LpRSP4Wes7YcbEF/UiStuwj8X/Qqknd0K5QhFT/ZZfIvom3FRNV5tdnbjNtJ7AJz5gtuBb5s/HeZcu9fwfmCsLjj8zn08OLnZ/LZ6J6zGs1Fkg6gj9eT2tr4nWWw8wvo4/PzHWxdbj5s2vrt9gSlVF4p1buIOpbyG1gsHe97Zq5fMRtn5vEdZ55rzxDR1kumlHoezZeAHTH3kRuBnzHCMy17Cbo3NEt6j31ZW/xL0b3GpysG089DLObvwEoxgh4W+4pO10V6P1VKOSqzojOAmbrwAAufI0FY10jPoCCsfd4M9CilPomeA2SjlxZ/EXrOyJtAf2he6WW23w98Vyn1QfSCDjvRK+/diR4GOoclln0JemW2EaXU29G9MjvR3yTbbfLcaty/Vkp9AL14wld93z/eofnPoecqvl7pb2rdhv6m1v8B3u63riR6JnwW/fmBv1b6G1h3or9t1WlBh3ehxeiXzKqBW4DfMmXaFzZYCV6L/p7bLUqvIHon+oHqarTIKZxJ5b7v71N6lcY3ALuUUp9Cvwx4GHqI1IfRy7eDXgDk54EblF6J8GL00OSlzg3sxr3o1WOvQQucF6Lng72gwxytTnwG3bP3GaXUZ9DfH/wd9JzTqzP5/ljpZeQ/j+4pG0Sf0xkW8bBr5m5dQ3P1xsejH3a7fr/TXM8vMsFUgL1MKTUNHPDNSrMLsJjj8w70ap7vNPn2oa/tp6C/R3cSGnPAPgq8ROlvt92Pnn98pnNQUxt+D/3Zi73o4eYvRIvR5eZ96GvyLWbo7zfRgkmhF5f5BebvbVvqb2Cx3I/uff1tc46n0POrXeCr5tjfiT4mz0TPcf39Ber8DPDLSqlJU9fV6JcDi+mVvx493PGbSq+cbKPP0Z1kPpfg6xWg3wn8mhFEX0X/jflV9Ly5LyyirTmYodl3Ar+klLoH/ffqAd/3v7NA0WXD9/1YKfVr6P24Syn1LvTvaAd6MTQLvVhQL/CQUurj6KkYk+iXf89g/lWqBWHdIz2DgrD2Sb+/93T0AgT/hB629n7g0X7m0w2+738Y/YftIHrV0TejewvuZu73nVpYbFlff+j4cegHht80+Z5LZh6V7/u3or8bdTnwH+j5b5d3aTdBC5w3ov/wvgn9wPM6OvfanRbmwfln0MftBejvoB0BfqVD3ruBX0Z/W+yNptyLaPYkrShGND8WLcR+Fv0w8nL08vavXKY2/t7UXUd/JuGN6PNwM3r4Y5rvS6bNS9Hn5vFoAXGI5WEfWvg/Bf0ZlUH0R6MXNSzL159SeDX6+nqzqevl6G9KZvm0aetX0MfzZeil5X/U9/0Di2hqL/pj1ek31R4P/O8Cc+oehv58wZ/TXJ3yNSb8a4toExZxfHz9iZknoxe/eAF6Jd7twG/4vt/++YKXoI/Fb6GF7UE6/AaWiq8/Ev4U9Iq3v4eeE/dt9LlZVsxv+TnoBT8uRwu616PvS29lcT3Ki/4NLMGuAH2fqKJXKf4gWrQ+iL7vPBF933kD+qXFr/m+/w+da2vwUvTiJ89Fr+55Bfo+Oe/CM8aeEXQv4Cn0IjS/hv5M0I3Gxiy/iT4G16B/5+nfm+ecwVBcTJv70dfkB+nQm7vS+PqD8Y9D/3Z/B/37/1X0cflbk20Wfc4ejr523wQ8Cv339+Vn2WRBOKtYSbIWhnQLgiAIgpBFKbUf+KHv+89YZVOEcwjTC3qF7/u7F8wsCMI5j/QMCoIgCIIgnIO0z1VUSu1GD1G9eVUMEgRhzSFzBgVBEARBEM5N9iml3o0ebrwLPUyzjh5yLAiCIGJQEARBEAThHOUG4Hno+cY14Bbgdb7v37uqVgmCsGaQOYOCIAiCIAiCIAgbkHO6Z3BkZESUriAIgiAIgiAIG5q9e/fO+aYqnONiEGDv3r2rbcIcRkZG1qRdwrmDXGPCSiLXl7CSyPUlrCRyfQkryVq9vkZGRrqmyWqigiAIgiAIgiAIGxARg4IgCIIgCIIgCBsQEYOCIAiCIAiCIAgbEBGDgiAIgiAIgiAIGxARg4IgCIIgCIIgCBsQEYOCIAiCIAiCIAgbEBGDgiAIgiAIgiAIGxARg4IgCIIgCIIgCBsQEYOCIAiCIAiCIAgbEBGDgiAIgiAIgiAIGxARg4IgCIIgCIIgCBsQEYOCIAiCIAiCIAgbEBGDgiAIgiAIgiAIGxARg4IgCIIgCIIgCBsQ92w3qJR6EvD7wF5gB/Bi3/ffvUCZhwP/AjwGOAW8Hfhz3/eTlbVWEARBEARBEATh3GQ1egZ7gB8ALwUqC2VWSvUBXwaOAY825V4FvGIFbRQEQRAEQRAEQTinOeti0Pf9L/i+/zrf9z8GxIso8gKgBPyK7/s/MOX+FniFUspaSVtXgmq1yokH71ltMwRBEARBEARB2OCshzmDjwe+4ft+thfxS+ghpheuikVnwP++/y8578pP843PfHC1TREEQRAEQRAEYQNz1ucMngbbgENtcccyaQ/MV3hkZGQlbDptcrlZAKaPP7TmbBPOLeT6ElYSub6EeUmSppv1Y8IJxq/jLZpxFnDbN77eWo/Jbv5rq7PpNuvpkIe2dtvjMm1YSae0dneeNNL9amtvQZvm2mO12zvP/i/u2HQ6DouxxdSzmGPT7u8W1yF/45hlnDnnrM3sRedPEgrAnTf919w2u+RfyN6WMu273CW/tRh728/NovJ3t9c6zfOxcPvd81tLtrdLW13zd7t+Otm0iPCc9tranHefNT09vYwEAXheh7rXJutBDJ4Re/fuXW0TWvifuz4AgJfz1pxtwrnDyMiIXF/CspKkD/VxzG0jt3LNVVdDEpPEJj6JSeKY9OG/4Y9jUzYGkzcx8SQmLZ6nfMO/tPLNdlN/ak/38q3tZvatrby2IdYPBsZNEjPrIY7TA9ZsP7M14jB1keh2yOabW1/SqLfZbpJkw8162+ub14455Zg3X9JmO3FCwtz6BUFYx1jW3HCHOCuVXlYmXxrRIa5ZhdVMmyfOysa125a1ybgt9Xfahw77ZnWJn7M/bWY22mw7BjOuxyMf9Sgsd21JrPle4K4tSztzFNjaFrc1kyYIgrAsJEkCUUQSRRBHJFFMEoVaDIShfiDvlp7GR5HJF5JEscmXTYua8XGsH/bjuOFP4igTTuZJizMiKTZ1GtHSnqdTuQ5uS1wSN/clFUiGfmDf6p2mjU36AGQ2Cwtsi8bDl2XrZxTLboT1c5GZFWJr12qUsXScZWG7mbpNva31mzZbbMi02ZbXarN1ThxWqx2mjvHxcQYGB01eU29j32nWnz0ebX4r3QeL5v4Yv8V89XbI095uNr5Tu3MeXDvUm42fU+/c9Oax6GLTmRyLxqGYb18XcSzaj0ujbZh7TDrHtdjT/iDeIa7jw/88cRYWd951F1dccUUHe7IZs/Uvbh+6ior0mGdt6yqkuu/DooXUfPbMd+w7iSFhyYyMjKw5IbgQ68HaW4C/VUoVfN+vmrinAoeB/atmlSAI85LEMUkQmK2uxVQUkoQRSRhCI5zZIhMfhlpAdYpvK0dbvWkaaVwUdhRpSRxBqMUZqag713o0zIO+5TjatWzt2tpN/ZbrNuJaXadDnM3k1BT9A4OmTksLAMtq1N946Dd+LEuXtWwtMCwr4zd5bB1nzSnTVt4yAiLdt/bymXYt08Z85ZtlFl9+QaEDGdFlRFhWlFnN8BzxtpCQ2gAcHhnhMhnZIKwQ8dFj5Hact9pmrGuSRI8IaPnXHtcShoTYDHxYoBx6ZERaBiBORy9k69KGkKY0Y5NGOwCxqSNtS8e11keSzI1rsQ1aLE+abba0nCScdE6wl/V1/1qN7wz2AJeYoA3sVEpdDZzyff+gUuqvgcf4vv8Uk+cDwJ8C71ZK/QVwKfBa4PXynUFBWJgkjknqdeJ6jaRW0/5ajaRea8TF9XpGuGXEW9CMj9P4bL6wtUycSSOKVnfHHQfLcfUbOsfGsh0tihwX27OxHBPvuA3BpNMd/QDvuFimHGmarfNbjhZKjfwLpduZ9uxMG+1Cy3GagqqDCGt3s6JtTtoKioej8rAunAFJkhATEyURMQlxEplwTEzMlDXN8WC0Y1p7uBkfExMRJzFRSzgh6hgfm/pNeeKGXdm4OElIiFvjk6QlXZc19WXyJS35usWZ+tvtSRop2Nj0Or06nKStZG1PTPtxJk9CyS6Rt3NY2Gk/mn7/kOltSlpsSObUkbUjeyySJMGyLPqd/kzdzZ5CCwvPcumxe7o+lGcfsmMz1DgrCObGt8mBJPsw3nxcT68xaH20T8P13jreA+9ryW9bNj12ubXdDm3MJ16y7TUFQ1PUtIuOduGSs3MUrHxHm/XudBImNF5ith+NhAQbm7JTbju23e2bX9C12iV0oQeeHj2VklNabUsWzWr0DD4KuCkTfr3Z3gNcB2wHLk4Tfd+fUEo9FXgLcCswBvwD8MazZK8gnBWSONbCrFohrlaJK5WGP6lWWsJxtarFXCru6lrcJbUaca1O7/QU+96V6LggWBmDLQvLy2F5XmNzCkXsRjiT5nq698lsuG5DqFmuq8WU62oB5mbjM/nb4vTmGNHWWk6Lqo3RiyKsTeIkJkxCIiKiJCJMolZ/EhERdkgLTVpkhI52U0ETJlEjrpHWEEgdyrWkmXDWn0mz0Q/3zYf/qCECugmqZjg24agl3CrcoobYmJc+4MBZOU1nFdv8syxL+yy7EWebOMuysbFwLdekW1TjGifCEzq9U14cbNvDwmrUb2ExGU1SDatzH+WT5hmwrbSUbfxWi41ZOyxjs4WFbdnU4hqzsV4Ur5NgqcZVIuZ/KWhl/qX2tMY2h8DaTSmrBa7VHFaarSM7z8zKhjPnwLXcxt8IC4taXON4eKJZd1sbLdZk6k2PjGW7bXtiNfalxW7Lbmmj4bMsZqPZxvHKDCKlk9DuJu6t1liCJKAa17Ds9iM9177Ujqa9nW3WtrQfFcscq9bS2XzdjkHnujrX33L+247NnHYy9dDBpuxxTs91ey3Z8z33XHY4v1ic2n9qXQlBWAUx6Pv+zZC5xuemX9ch7vvAk1bOqlXgXBuOJhDX68SzM8QzM0TGjWdniBruNPHsrN4qs1rYVapNwVerntl1YVlY+Tx2Lg+2jdvbi5XLY+Vy2PmCcfMZV+e10riMqGsVecbvutiZeBFcG4fEiIEgCQiTiGlrhuPBqBE1IUESEiYhIRm/yRtm0ht5CRvxURK25AkzdYVJRL/TR8HON+pK28zbBfqcXi2gGqIqbIiptHycxGz2NrHD205CPFeUGX+2nmY44zfCrink2oVba9p6e4Pu4Cz44J7mS0WM03CdhjhxsHFtF6chdnR+pyE4HGysRplGWiqMLJvxUxNsHt6USXeMAHLm5HdMfbapz7Gy7WRtbNZvN/ahVZSlIqdVqLXGWY20bFmrmTYnfzPfRiNeuj7LAAAgAElEQVR9IdLtYX+1kAXWhJVkJFx/K22vhzmD5xRJdx0srCHiep1oapJoaopoapJ4atKEJ4kmdVw0PZURftNL7oGzPA+7WMIuFHD6+rELBexCEbtYbPitljgTXyxi5QsZYaeFnuV5jT+wIyMjXCp/7M4JkiTRIisOqCcBYRJSTwKCLls9zobDZrxxw9Qfz82TzddIiwNCwlaj1lnPzd1V/4zrcHBwLL25uLjGn7NzODiNsM5n0k2Z1jQTxs3Ul6k7U4cu0xRbOo8WM/On2aZ+LYrm5muNS4VKLa5RjWsNgZNNP5uCZuShEfZulfvXese2bHJWbrXNEARhAUQMChuGJEmIZ2cIx8eIxsYIx8fm+icniKamSKqVhSu0LOxSGadcxh28oOG3Sz3Y5TJOqWRcHdb+MnaprAWd46z8TgsrRpzE1JM69aROLdZuPa5TS/QWNPw16nFg8tWoJwH1pGbKdPO31rvSvUwWFp7l4VmucT167B5ylodr4lzLbWxTY5NsGd6Cazm4ltcQRzqfibPa41yT18nU6bTUq+NdU5/+83QsGG2IqTSPjc1oMIpl6eF0Ds20Rj4TV08CfljxiYm1SGsRdU3/vGlsjF7wvJ0nb+dX2wxBEIQVRc8p1fNvSSI9ZzKJdVwSA5FZxCbSn/HBfIooE27mjxpuQoxlH5u37bWIiMFVwlpfI4jWBUkQEJw6SXhilODEKKHZgpOjhGNjRONj8/feOQ5Obx/e5i04fX04vb04vX1tm4nr68MulZsrBQprliRJ9LyJpEY1rurej6RKNdbhalIzPSLVRp6qyZP2lOg8zfhqXKOe1JfVTguLnJUjb+fIWTl67B6G3Rw5K0/O8shZHp7tNcRaVrjljOt2yJcKupyVLWs2W6cvVeyMHD57PTcX5Duv+tfjlBdVvmDlubr8iOU0SRAE4bRoiBAjHLQQiTICJOqc1vBHGUEyT1qHfEkSZtpefNrptO25w/SUrkIva5MRTnNEV6v4agq0+fK2irg5eTNxc11TZgVfsHo9EEXX4qyjeYMiBs82IgLPiLhWIzh+lODIEepHDxMcPUIwepzgxCjR+FjnOXeWhdM/QO78C3AHBnEGBnHN5gwO4g4M4Q4MYvf0iLhbJZIkoZpUqccBfU4vlmWRJAn1pM5sXKFittmMO9sW156exlXjWmMVu9PFwaFg58nbBXrsHja5m8hbOQp2Hs8IuLyVa/HnrBw5O0feypOzPS30rDw5I/byJj0VgC7uhuh9EgRBWCx6NcsIkrAhOJLU3xAg3dJC/fDflmbnHuDk+PEllUkFT8e2smlZQZeEHQXf+sbBshwszMrXGb+Fq1ftxqZaf5Bqff8yt61n4GLm5+q2M2Ezb1nbYbflzeZxMnmdtvqsTHo2X1qH01anOQ4N1+bQwal1JQRBxKCwRomrVWqHDlJ/8CD1Qw82hF948sTczLaNOzRM4dI9eJs2427a3OoODq27D4CuR5IkoZbUmYlnmI5mWtyZaIbpeIaZaLY13aTNxLMtQyF77DKVRaxE1wkbm5JdpGgX2eRuomgXtJCztFuwC+StfMNfsIxr5028yZfJnw5ZFARBWM+kvUAJoREz2S2aJy0gnpMWtebpWG6etugiwjJpnOGLvE54RTjS4VFi6VhGDDhguRmR5GDbeSxKJs0xq1U60BBOTve0hn+htKwga8/ntgim7mmtYiatlw6CjyUs/BOEY9SDox3EU1N0zRVxnfLaS257tTm4TxaQEYQlE46PU3vgPmoHD1A7eID6oYMEx4/N6eVzBgYpXnYF3tbt5LZvx9u2g9z27bjDm2X+3QpQj+tMRlNMRlNMRVNMxlOZ8CRT0bTxTzcE3lLEW/oNqgG3n/PsHeStPPfW7qdoFynZRbbbRUp2gaJdyrjFRnrWX8z4c1Zu3fzREAShM7pHKCSJA5KkTpzUjSAJtBvXSZJ6Rqjo+IZoaQmn/tDUE+LYJUqFPeihZxmxk9Qp5i+mt7x30fcRLbA6tR0uOi7OpHWO067tlLCwGqIqbhFcbeKsgxBbCXG1NCwjRhztNgSRi2XnjRgxwqohYJrhlnLZNOzO8R3K7N9/kIsu2j0nTYuRVlHXPc01IkrohOcO4rmDq22GsEhEDK4S623Z8eUiCQKqBx6gdv+9VO+/j+r9987p7bPLPRT3XE7ugp3kL9hF7vwLyG3bgV0srpLV65MkSajEFcaiccbCccYb7gQT4SQT0SQT0QST0RR5O892b5sWfWarJbUF27Cw6LF7KDslNrubKDtleuwyZadM2S7R4/S0uiatxy6Ts2WVOUFY6yRJ1BRiDQEWZOKCTDiTFqcirJ5x60bcBW3irm7q1v5cX407749Y6XkV41Nf75pWzO/GtvNdBFxo9keHV19gkREozU1/e7A4J16LMTcjdtrju2xz0pxGvL3IMroXaHVf1u0LRujvkdVqBSFFxOBZZqN9WiIJQ6r791G5604qd/+A6n33tCziYvf2UrrqkRQuvoT8hQ8jf8EunIHBVf9jsdokScJMPMOJ8CQnw1OcCIwbnuJEeIJduZ24lkOQBKjipYyH45wKxxmLxhkPxznac4zKvrdTW2CRk6JdpBJXIIJjwXFcXPqcXrZ7W+l1eunLbL1tbp/TR9kubcjvZwnCaqNFWs2IKO3GSc0IqxqxcbVoqTWEXJqmy9QaIq5bmZWd42RhWzksK4dledh2DsvqIagHlHv6saycTrc9k8/Dtry2/G4mPt3clrCdidd1usxW7yeITpp63UY6wOipTzFbvbthYzPdw7ZcPQTQKndoy50bR4c4yzX7lAmziLosmzCa7iC4NsZqt4IgrAwiBoVlJxw7xcz3bmPmu7dR8e8iqVYbabkLdlG8dA+FS3ZTuHg37uYtG+aPWJAEHA9GORYc55hxR4NRRsMTnAhPEiYRqrCbk+EpToYn5xVy91Tva/hvnLy5Jc3ComQV2Z7bzqAzwKA70HAH3AEGnX76nX76nF5ydq4xf6/P6aVgFTbM+RDODZIkIo4rRHGVOK4QJ9VMeJY4rhLFFeK4atKqbf4acVIFEhy7hzgJTHoNzxnggm0vI5/bfhp2JaY3qZZps9bqmrbjuJaxqRmXFWxZkZbEdb1wxjKihU4Oy8pj2wVcqx/L1mIsFWJpuJnXy4gyryHs7Lb4Zpxxbe3SRcSMjIxw0Z6V7bnpLV/VPa10FXFcyww5XDv3xJxdWG0TBEE4xxAxuEqsnT8ty0P98ENM3/odZr47Qu2B+xvx3rbtFC+/ktJlV1DcczlOb98qWrny1OM6h4MjHA2OcbR+nGPhcSP+jnMqHOs4PLhgFagmWjB/v3InvXYP271tDHvDDLtDbHJb3Qdq+7Esm1pc43D9SEbkacHX7/Rx+223s/fSxT1M9TjlRS/TLwjLQZJERPEscTxrhFqlVdDFVZ2eNMOtgq/pT87oEx8WtlXAslyieAaLE9h2AcvO49hFqvUD7D/8F2we/FnT81btIuY6C7zlGD44v0jLG38e285n8uXa/Jl8Vg7L5G2Wycn8pzZs+d6iIKxZ4jghCBLCICEIE6LQhEMdF2bDIYQmT5jZIhPfDBt/1C3/AnVF2l8o9HDlFTH5wvq5p4oYPNucQ1MFw/Expv7720zf8k1qBx7QkY5D8fIrKV+zl/LVe/E2b1ldI5eJJEkYjyY4WD/EgNPPsDvEQ/XDPBQc5qH6EQ7XtTsanugo+IbcIfYULmWrt6Vl2+JtNitnVhiPJhhyhygs8BCyyRteqd0UhAZxEhBHM9h2ATvTG6GXR69RD04YMTfbcKN4ljiaJYpnjMhL/bNazEUzurduEfNRu2FbRWy7gGOXybnD2HbR2FjEsZp+naekw1YRx+yHDmvXyiw2lCTxHEE0OvZpjp38IIdH37kIu/KN+l2r19Sfx0nFZaPNZpxtFVrSLbtgBFrq5kWkCYKwaixZdJl8Ydc8HerqVLepq2PZIGlfX/Cs4jjguBZuujkWjgv5gq3DuRqOu766fEQMCksiiWNm77idia9+mdnv365X/HQcSlddQ+/jfpTSI67BKa/vXqYwCXmofph9tf0cqB3kYP0QD9YOMRVPz1uu3+ljT+FSzsvtYEduG1u9LWzztrLZ3bTgYiklp0RpnX2XRjj7JElMFE8TRdNE0RSuO0DO2zpP/kT3okXTRNFMs2w8TWjc9ngdnmnpcct75xEntYbAy/cn3HNgKZY7RpgVyeV2GH8Jxy7h2EUj3lIBV8wIvmKL2FtJcdSp3s2Dz6aYv4QwOpURaKmobIo26VkTBGE5SZKEKIKgnhAEMYERQY2tboRSPRsf63DYzJMtE7bna4nL5Ftl0eU4aFHlWXieFlylkq3DJr4hxEyc45q8noXn0gxn8qX+ppAD12mP0/Gt4Wa644Btzy/0RkZGcEUMCothva0mGs3MMPm1rzBx042Eo8cByF90Cb0/8kR6H/N4nL71M/wzTmIO1R/ivuo+KnGFy4t7eKB2gH21/TxQ28/B+oMESdjIb2GxxdvMnuKlPFQ/TJCEnJfbwXm57Zzn7Wj4e5yeVdwrYb2hhVqNKJokjCaNO9UIN/1TRPEUUTRFFM+SHV5gWXk2DTyTOK4QpkKuIeqmieIZFj9U0TIirUwhdz62XQZiKrUHCKJTOHYZzx3Gsc9naipkaHA7jlNqE3ZNv+2Ucewijl3CsvJrat7VUugpXbHaJgiCsEwkSUIYwPR0RFBPqNdj6vXE+HU468+mBUFMGEIUNYcNRumQwijBdS12XZhv9KY1xNgc0ZYQ1ONGr1c2LSvOzoYQ8zwLL6eFjuctTXS5Di2CLZuvUdZr1t2Sx9M9am5al0sjfSGxJSw/IgbPOuvrIo+mJhn/ry8yceMNxJUKVi5H35N+nP6nPJX8roettnldCZOQB2oHKNslhtwh7qvej1+9l3uq93Jv9X5m40rHcg4OO/Pn87D8hVyUv5AL87s4P3fegkM3BQEgjuuE0ThhOK7daGqu0IsniUy8XpZ+fiwcHKcP1x0ib+/EdXpwnF7AYmzyK4yOfbJD/h5cp498bgeO3YPjlHHsMo7TY8IZ1ynj2j3YdmnRvVsjIyNccJkszS4IwpmRJMm8YiyoJ9SDhHptnrS6Flf1elu+IJkj+LTI6gceWJH9+c635x9BlMV1wfPshjgqFGy8Pu1PN7fht/FyWmilAq5jvpzdEt+y5bJ5bVyXdfuS7nRIkoQgSQiThHqSEMbGTRKCjL8em7h0i1N/nPG3pzXri90iVycJzjo6tiIGhY7ElVnGPv9pxr98A0mthtPXz/BP/Sx91z4Fp7z2esDiJObB+kP8oHIXP5i9ix9WfCpJtWPebd5WHlV+JGW7zN2VH3Jx4aKG+Lsgfx6e5Z1l64XVII6rBOEpgvAUYTRGEI7hOn2UinuwcMl5mwA9NFP31I0ThmOE0URD7AXROGE4YYTfOHGXlwxZLCuP6/RSyF2gRZ7Th+P0triu3ddIs+1i1z/Yw/3PIIwmWsSdvY574QRBWFtEUUKtFlOvdXITavWYWlULrlotoV6b69brrWUb6Ua8rQSuC17OJp9Pe7wccjktiKrVKYY3DZDLWWbTQisNezm71e9ZjbLZYYOOA046zNCxGB8POX4sIJf2tHUTZrlzvwcsSRLCBOpJTN2IpHocExixVc+IrjAjrMKMYAszIivoEE8Cnm0tSqAFSUx4lgbk9dkugYhBYT2TRBGTX7+JU5/4CNHUJM7AIIM//0v0PenHsfNrq3dsMprkuzN3cPvsHdxZuZvJaKqRtt3bRiU4CsDuwiWowiWowm52Fy5hwO1fLZOFs0CSJETxlBF6JwnDsaboC08RRNofx7Pz1uO5W0iSGmE0yfwrP1k4Ti+euxnX6cdzB3CdAVyn3wi6VOil4m75fkeF/AXABctWnyAI648wTKhWY2pVLbRSf7WaGFcLNi3EmkKuKch0uRaxV9dlo2X8gkkuZ5HPW+TyNr19DsN5I7pS1wilRriDGEuFWz6fEW1eMy3NN5/QGhkZYe/ey5Zvxwy9fQ4X7Fxbz0lg/ia2CTPdExa3CLMF0+PYCKu2cEbsZcNnezKUBeQsC9e2tGtZlF2bAcvCSzfbwrPsjN+a658vzbbn5HMt3V6a77u33UbBXl9zyEUMrhprb85gdf8DHH/X26kf3I+VzzP0nOcy8PRnrhkRmCQJh+oPcdvs7YzM3M691fsbcy8HnQGe2PsjXFm8nCtLlzPsDjXKSC/JuUUc1wjCE9SDEwThKPVwlCA4QRCeIAjHCMNTJIRdy6dz3zx3N547hOsM4bmDRPEss5UfEic1Zip3mgVa+il523EzAq8p9gZw3X5cp6/xsWpBEIRupEMiOwm1aq2TgMuEayZfB6G3HILNtiGft8kXtKjq7bXI5S3yebvp5izyBeOm8blmmVTozXEXIdA2IrERVjUjrGpxQi2Jm2EjumomrW7SarEWabWk6c+KMS3UdG9YGl6pJ04vI4RylkXJcVrCOdsmZ0RSLhuXEU9uRly5djPcEm/SsvEJuvcxFYAOG2vY63IiTzACcb3OqU9/nPEvfhbimN4n/BjDP/883IGB1TaNJEk4WD/ELdPf4Zbp/+FYoBevsbBQhd3sLV/NNeWrOM/b0fEmIDeG9UcUzxIEo9TDE8Ztir16OEoUTXYpaeE6AxTyu7TIc4fwzKYFn97m7Zkb/Bmg82cGBEHYeMSxFmCVWS3AKpWYaiVuuKm/JT7NXzHirdYUfWe6KEgqyAoFi8Fhl4IRcIWCTS6v43V6Mz5f0MKsUOgi6PL2ulv9cKWJjUirmd6xVJDVjOBqFWwx1Q4Crt4i7kwdSVP41Zd5hRjXAs+yG6Kr6DjkMmEt0LqEU8GWCWeFW1PQtYZtecY6JxAxuMGpHz3M0bf8E/UHD+Bu3sKWF/86pcsfvtpmcaR+lG9Pf4dvT32Hh4LDAOStPI/reQx7y1dzdekR9MrqnesSvWT2JPXgGLXgKPXgWGY7ShRPdSxn4eJ5myjkdpHzNuG5m/DczeS8zcY/hGU5y2KjCEFBWL8kiV4oZHYmI9RmYypVI9hmjWCraMFW6SDuUkFXO4M5bfm8RbFkk8/b9Pe7LeKsIdryduf4VMzl7Zaw9K61EpresWqculpoZd12/0NukW89eDSTb2755RRqFpC3LfJGaPW7LjnbIm/EVd62yNu2CWt/zjJumtae37Jb8uZsEWbC6SNicLVYA6NEp/772xx/97+RVKv0XfsUNj3vRdj5wsIFV4haXOM707fy1cmv8cPqPQB4lsdjyo/iR3ofyzWlR5CXVT3XBem8vVr9IWr1I9SDo2Y7Tj04RpzMXWjFwsHzNlMsXETO3YLnbSLnbsYzYs91+kWkCcIGII5hZjpidjbW20xEpRJrcZfGpfHG3x5/ukMnczmLQtGmWLTpH3ApFLSgKxa1ICsWbQolm2LBplC0G3mLbX4Rbpo4aZ1zlvaMpcMc65ket+oc1/iTmGqky7aKvdNcFMTJwURz1U/XgoJtk7dt+lyHvG3rsJURYqkwywiynJURcqY3LSvS8pkeNBmlJKxlRAyeZdaABiRJEk598qOMfeYTWIUCW3/rJfQ+7kdXzZ6DtQf58sRNfHP6FipmNcYri5fzY31P4FHlayjaxVWzTZifJImpB8epBQ9Rrx+mFhw2AvAwUTx3iW3LypPztpLztpI3bs7bRs7biucOL1vPniAIq0eS6N62memYmZnIuDGzqcCbiZmtdBBzMzGzlYhqZelL/3ueRalsU+6x2bzFpVSyKZUcCiWbUkaoFYpWi3DLuoWCDJcE3dtWjWIqcXPT4USHTVo140/jq2keE17OHjbdW2ZRsG0GXZeCEV0FI8aybne/xX13383ehz+8IeRcEWrCBkfE4AYjCUOOv/Nfmbrlm7ibt7Dj5a8ht+O8s25HnMR8b/YHfGH8S3y/cicAQ84gzxj8Ca7teyJbvS1n3SZhLg2xVz9Itf4g1dpBavVDBNEYnjtMvX6kw2ItNjlvK6WiIu+dRz63oyH6XGdA3pAKwjqhXm8XdO2uFnjTxp2ZaaYtRQNYFpRKNsWSzZatHlE0y5at/Y24putokVduxus0B8/bWPeV2PSSzRoxNhvFzGbE2ZCnH++0YEsa4m02MiKuReQZoWf8wRkIuIJtUbRtSrbNsOeSt7QI89qGNDaHQurVHQttYi5vhFtW7C3XMMhTSfP4CIIgYnBDkQQBR/75jcze8V3yF+9mx0tfhdPXd1ZtCJOQr099i8+N3cDh4AgAVxQv4ycHnsY1pUfgSM/QqhFGk1RrD1KtH6CWEX5xUuuYPwhiCvmd5HI7jOhLhd82bFldUxDWDFGUMDMdMTUVMz0VMT0VMWXc6amYqamI2ZmYmTZBFwSLFwWuC+Ueh75+l+07dA9duexQLtuUe7Rb6nEaAq5U1j1ypbJDodA6jE4v/b9nJQ7FihPGCbNxzEwUNQTaTBQzG0XMpKIt0nGVODJpcSPNteBJA31YFq1CL+OvxBGVePl63FIB1+PYbM65FGybom1TdIxrBFojbNyCEX2FRljmrQnCekSe2FYJa5lXkVqIrBAsPeJqtv3eK7BzuRVvN05ibpv9HoNOPwfrh/jkqc9yPBzFweFJvT/KMweexoX5XStux0YhTkJqtYPYuds5dOx/qdb24Xlb2LntlS0PW0E4TrW2j0rtASq1fVSqDxBGp1rqsnCMwNtJIX8BhdxO8rkLcJ0+onga1xmUXj5BOMssRthNT0VMT7cKvcVgWeihlmWHwZ1ui5Ar9ziUyjY9Xdxc7tyYFxXGCdNGpDUEXUasZUVdKuRm46gRXuqwSAso2TYlx2ZrzmU0CPn8yfE5+WygZETXlpxHyYiyua6DY8GJIGz0smUFW7uYEwEnCIKIwbPO2b/pJnHM0bf+kxaCD79qxYVgNa6Rszzurvi89+SH2F870EhzcXl6/1N49uBPMeQOrpgNG4UgHKdSvYfZ6r3MVu+hUttHkgR4RRg3i3JW6wc5Mf4Z4rhOtbafSm0fYTTWUo/rDNJbuoZ8fieF3E4j/LZ3/X6ebQ+t9K4JwoYgjhOmJiMmJyOmJrQ7mbqTEZMTIVOTSxd2jgM9vQ5DQy47dzn09Nj09Dn09jr09Dj09Nra3+fQU3Yo9+qeunNh0ZMkSajGCdNRxLQRddNRzHSkRV4nN81XXWKPm4MWaWXHYdBzG8Ku7DgZvxZkZceh5Jg426bkOHPE2EwU8UCl1uiJS+vIySIkgiCsECIGNwAnPvheZr57K8XLr2TbS165YkJwNprlfSc/xFcnv94x/Wn9T+HZg89qfBBeWBpJElOtH2C20hR/QXg8k8OikNtFqXAJx466XKaeTBzX2PfQn3Ds5AcbubTw20ux8DAK+YdRzF+EJ8JcEJaFJEmoVhMj7MKmuMsIvamM4JueihacX5cVdhfszIi4HiPuUmFntt5eh0JxfYmHOEmYjmKmoohDlkMyOcNUFDEdRkyZHroLCjlKjqPFW6h76KbDptjLuktZTLRoa8G2LZejx4i3suPQY4RbyXa0oGsIOach8pZbpJUdhyt7SstWnyAIwkKIGFwtztLf6PEbb2Diy18kd975y9IjGCcx35y6he25bdxd8dmZO59vT3+H83LbuWH8Rsai5vAWVbiUX970PHbmzydMQlkVdImk4m9m9i5mKncxU72bOJ5tpDt2Dz2laygVLqVU2E2xcDGOOcZHHhyhYIbfbt90HVE8QzF/EYX8w/DcgVXZH0FYz4Sh7sEbHwsZH4+YGAuZmJgbnpyIFjXXrly26e132L7Do69fz7Xr63Po63Po7ddun3FLZXt9CrswYjKKmDSCbiqMGoKvKfTihthrHLVcDxw8sqQ2HaDHCLitOY8e16bH0SIujU8FXja+5MhqkoIgbGxEDJ5tzuJUwcq9Pic+8J84ff1sf/lrcEpn9rZxLBznjUf/hXur93VMd3H5xaHnsMkdpmQX2Vu+pvEA41neGbW9EdDi76AWfpU7man8kDieaaTnvK2Uyo+hXNxDqXApOW/7oh4QhweesZJmC8K6plaNmRiPGB9virrx8dDEpeGFe/BcF/r6Xc6/INcUc0bY9Ruhl8b39jnr6hMGcZIwZUTdpBFwE2HY8E9mRF8q/Bbzp86xoNdxGHRdduZtel2HHsdhZvQ4l5x/Hr2OQ6/j0OPq74veP1sjb1stoi4VeQV7ffWECoIgrBVEDJ6jRNPTHHvbmyFJ2Pa7L8PbtPmM6ru74vOmo29hIprsmH5ZQfHrW65jR277GbVzLhNG08xUfkA+dz6F3PkmbpLp2e8zPfs9pme/RxhNNPJ77hb6yo+mXLyccvFyct6m1TJdENYdcZwwPRVx6lTI2KmIsZOh8evt1KmQ8bGQamV+2aI/Pu6w4zyPgUGXgQGH/gGX/gGnJVzuWdneuyhJmAgjJsKQ8TDSWxAyYfyVOOYpg31syrkmX2TSQipRzO5SAQtLi7iomV5ybPaUCjiW1SLqsr1609leu3nocWz6HIfteY8+16HPcehztaDTrk2PCfc4DsUuAm7k6IPs3TR36LoqyegSQRCE5UbE4GqxgquJJknC8Xe9nfDUSYZ+7hcoqsvOqL6bJr/Ovx9/DwAv2vQ89hR2k7fzJAkMe0MUrYK8ke1CPTjG5MytTE7fymzVB2I8dxMDvU9ievZ7VGr7SLuLXaefgd4nUi4+XMSfIMxDFCWMj6XCzgi+kyFjY2FD9I2PhYTtn8DM0Ntrs3mzR78RdAMDLv2Dxh1ouvmCvWL7kSQJM3HMWKAFXireJjqIvcX0tn1verZr2s3pilId+N/JmTlxFkbcuQ7n53P0uk6LwGvxOw49riPDLQVBENYhIgbPQab/5xZmbvtfinsuZ/Cnf+6064mTmA+e/CifHf8iPXaZl2/7Pa4onZmwPNdJkoRKbR9TM7cyOXMrtfqDJsWimL+ESu1egi3aN84AACAASURBVPAEo2OfABxKhT30lq6ip3wVhdwuLGvlHjwFYb0wMxNx8kSot9GAE6n/RMCpk3oIZ7f3aZYFA4MOOy/MMzTkMjjkMjjsNv1DLgODDrncyv7W6nHMqSBiLAwZC0LGwrAlfCqMGAvCBT9FULJtBlyH8/IeA57LgOsw4Lr0u07DP+A6jAYhXx2bpGBb9LsO/SZPv+tQjWL2V2v0GPE24Dr0uS59jsO+apXj9RDPsug14i/tzZNPDgiCIJz7iBg8x4impzjxvndj5XJs+dXfwLIX/8CTJAkT0QS2ZZOzcrxz9D/5xtS32e5t49XbX8b23LYVtHz9kiQJ1fp+Jqa+zcT0LQThCQAsy6O3dA295UfRW96L5w5QD0Y5NXkjpfwllEtX4NiyapywsYjjhInxiJMngobgO2FE38mTISdHQyqVzp9PcBwYGna5dE+BwcGmyBsY0u7QsEtfv4PjrJyIiZOEMSPktMALG+Gsfybu/gkIC+h3Hc7L5xjymoKuk9jLLfIePuC57C4VuqZf0WWFSlUqouQ2JAiCsGERMXiOcfIjHyCammT4F1+At2Xx4i1OYv7y8Bu4s3J3S/wl+Yt47Y5X0OP0LLep655q/VBDANYDvfKdbRXp730CfeXH0FN6BI7d+nCW8zazbfh5q2GuIJw1ZqYjRo8HHD8eMnos4PixgNHjASdGQ06dDLoO3ywULTZt8hje5DK82WPTJpehTS6bNrkMb/LoH3BW9Dt4SZIwFcWcDAJOBiEngpCTme1EoHv15vvSX9mxGfRcLnIdhjyXQc9lMPW7OjzgOjjS6yYIgiCsAUQMrhrLP2ewdvAAk9+4mdz5Oxl4+jMXb0mS8O+j75kjBC8v7uFV218qn4TIEEZTTEx9i7HJm6nW9wNgWTn6ex5Pf8/j6SldjW2vzHccBWGtEEU0BF4q9o4fDxg9HjJ6POj6YfT+AT18c9gIvlTkDW92Gd7kUi47K2p3JYqNqAvmiLzUH3QZtmkDg6b3bchzGXJdhjynIfC065BfwmgMQRAEQVhtRAyeZZIV/MDgiQ+/D5KETb/0Aixn8Q9VHzn1Cb46+TUAhpxBinaRiwoX8uubryMnwoYkiZmevYOxqZuZmr6VhBBw6C3tpb/3R+ktP3JOD6AgrHfCMGH0eMCxIwFHj9Y5eiTg+NG0h6+PJDkwp4znWWze6rFbuWzZ6rFli8fmLR6bt3ps2uySz6+sUKpGMaNBwPF6yGgQMFoPOW7c0SBgJurep9fvOFyQzzGccxn2mtsmz2XY86Q3TxAEQTgnETF4jjD7gzuo3Pl9SldeRenKqxbMnyQJh4Mj7Kvt55Njn2Wbt5Xrz3sdA27/WbB2fRCEpzg18RXGJm8ijE4BkM+dz2DvkxnofQKuHCthnRPHCWOnQo4eCcxW59hRLQBHjwd0mvY2MOiwbUfERRcPaqG3RQu/zVv0MM6VXFm4FscNYdcUegGjQchoPWCqi9jLWxabcx67i1mBl24eQ97i5+YJgiAIwrmEiMFVYrkHiZ76zMcBGP6Fxc1He8uxf+Ob07cAULSLvHr7y0QIokXybPUeTk18iYnp7wARtl1kqO8nGOh7MsX8RfIZDWHdUanEHDlc5/ChOkcO616+Y0cCjh0NCIK5d6PePoeLdxfYtt1j6/acdrd5bNnqkc/bjIyMsHfvnmW3M52zd7Re52gt4Fhdb0frWvxNRFHHcp5lsdlzuahYYHPOZbPnsaXhevQ6K/sNQEEQBEFYr4gYPAeo+HdTvcendNUjye+6cN6891X3cTwYbQhBgJds/c0N/7H4OAmYmPoWJyduoFrbD0A+dwHD/U9noPcJ2DIMVFgHzExHHH6orrdDdR56KODwoTqnTs5dsaVQsNhxvhZ67aJvJefuJWY1zlTkHasHDeF3tB5Q6dAd6Viw2fPYWcixOeex2XPZkvMawq/flc8gCIIgCMLpIGLwHGDs858GYPCnnj1vvq9Pfou3Hn9HS9zzh3+RR5avXjHb1jpRXGFs4qucGP+8GQpq01d+DMMDz6BUuEx6E4Q1ydRkxKEHaxw2Yi8VgBPjc3vOBgYdrnh4ke3n5dhhtm07PPr7T29IZ5IkzGBx90yFw7U6h2sBR+p1cpbNC7cNMxvHOq5W50g94EgtYDaOGHJdJowIrHVYpMWzLLblPLbldG/etrz2b815bPJcEXuCIAiCsAKIGFwlrGUaKFp/6BCzd9xOQV1Gcbfqmm86muYdo//RCL9g+Lk8a+Dp2Bv0I+dhNMnJ8Rs4NfElongG2yrw/9l77zA57vu+/zV9tu/e3V7HAQfgcChEIyh2URQpUc2SbNmObUWKJbc4sp3o50eOf7Gd4uSJnzxPEsex/ZO7rUiKLVmxmhVJJCU2USwgAZIgUQ7lcDhcb9vb7Mx8f3/M4g6HQhTiGvB9Pc8802c+uzu7O+/5tObkB2hOvA/TaFlp8yQSICjiMj7mcHbYYeRMjbPDDmeHa2QzF4u+lrTOrr1hOjtNOruDoaPz+r18vhDM1l1Gag5jNYeRWp2RajBdsuJwevSifV7IFy97vNFanZCq0GGZ8yKv3WqMzaBAixR8EolEIpEsL1IMLjs39mYn99T3AEi++31vut2XZ79KXQShYrtCt92yQtD1isxk/pHZ3HcRooamxmht+ic0JR5Bl70UJSuEEEEj9rPDDcF3xmFkuMbYqMOFaXJNzTq794bp7jHp6rbo7DLo6DSx7Ov7PntCMOXUGa05jNQcRmt1RqsOozXnIg+eCrSbBh2VGtvb0nRaJh2WQYdp8thcjqOlCh2mQcf8coO0aVD1fHyQuXsSiUQikawypBhcw/i1GoVnn0FLpojsuX1hufB5vrifneEdxLUYg9Uhvpd/kk6jg/+y7nfRFf2WE4KeX2Y2+x1mst/C9yvoWop06mdIxd+JqlorbZ7kFkIIwcy0y9DpGmcGawwN1ThzukYhv1j1mZbC+l6LdT0W63pM1q236F5nEolen6dPCMF03eVs1WG4WmO45jBadRhzHNwLAhUMRaHDMui2TLoaQ3fDo6erSlBApn2xB/0nWpsue+6ovrT9AyUSiUQikVwfUgyuYYr7n8evlEm9+70o+sJH+Q9z3+AfMt+gz97M73b9Fn89/XkEgk+mP37L9Q30hctc7lGm576O5xfQtDjtLT9BU/zdsjm8ZMnx/aBX39BgIPiGTgfj0gVN2VvSOlveFqG7IfrW9ZikWw1U9fq8aGXP52y1xpmqw9lajeGqw3DVuag4i6Uq9NjWBaIvyNmTIZsSiUQikdz8SDG4hsk/+zQoCvF3PDS/zBc+/5AJCsqcqJ7ku7nvcbI2yN3RO9kZ3r5Spi47QggK5QNMzHwRpz6BqoZpbfopmpPvkw3iJUuCEIK5WZdTJ2sMnqjOC79KZbEAa2s32LErzIZeiw29Fj29FtHr9Pb5QjDp1BmqLgi+4WqN6fri6qEK0GkZ9NhheiyTHtuixzZploVZJBKJRCK5pZFicA3iCpfZ2TNUjx/D3rIVo3khXGt/6eVF235+5m/R0Pho808ut5krRrU2zPjMFyhVXgdUmhPvJd30EzInUHJDqVZ9Tp+qMniyxqmTVQZPVhcVdlEUaO8w2H17mA0bLdZvsFjfaxEOX7/wG6vVGaxUOV2tMVSpMVStUfEXx3gmNI2dkdC84OuxA4+fbKoukUgkEonkQqQYXIP8l7Hf543KEX4zLEjffR+O7/BE/mkeiN/PNzPfQUFBQ8Ml8A48nHgHrUZ6ha1eejy/ytTcV5jNfhsQRMO7aW/5Z9hm10qbJlnj+L5gfKzOqROB6Dt1osrIWYfz66skUxr77oywabPNxs0263stQqHrE2CuEIxWHU5XawxWapyu1Biu1hYVdDnn7eu1LTaELNbbFutsk6Quf9YlEolEIlkuhBD4lQp+qYhSLq20OdeMvGtYKa6zs4QvfN6oHAHg1d0Gu+64kz+a+kteKO7npdJBBmunuTOyj0+kP8anhv4fAH4s9aEbZfWqpVB6hbHpv6LuzmAabXS0fIJYZO9KmyVZo7iuYGiwyvFjVY4PVDgxUKVUXAj3NE2Fvi02G/tsNm222dRn09R8fT+nQggmnDonKzVOlqucrFQZrjrUzxN+KtBtm/TaFr0hi147EH+2Jr19EolEIrk5EJ6HVyzgFQv4hQJeIZgOxnn8QgG9JY3Z0RmIr0oFv1pGjcSI3Xs/eiL51m1wXbxiEa9UwC8WG/YU8Rtjr9hYXjq3vIhXKnKu9HdMVfH23YEWDr9lW5YLKQaXGSHeWn7O6dqZ+elHH9Jo9Z7nheJ+AA5XjgLw/uR7SGlJ3pd4hPXWOlL6W/9yrFZcN8f4zOfIFZ8HNNKpHyWd+ogsDiO5JioVn1PHqwwcq3D8WIXBkzXq9QUxlm7V2b03wuY+m419Ft3rLHT9+r7LBdfjZKXaEH41TlWqFL0Foakp0GM1RF/IYmPD4yfDPCUSiUSyVhC+j18u4xXzeIVCIKYWibtCY3l+ft4vXb9XbfbLX0RLJIk/8E4SD70bLZnCL5fxS8XLiLgLxF2xgFcqIqrVqzuhoqBGomjRKEZrK2okhhaNMoWCGgpd9+tYCaQYXCM8V3iBglck7xUWLf/CzN8tmu82O+m3+1AUhZ9Nf3Q5TVx28qWXGZ36czwvT8jqo6v1F7GtnpU2S7IGqJR9Bo5WOHq4zLGjVYaHavMhn4oC3etMtmwN0bfVpn9riFTTtf9Uur5gqFrjeLnKYKUGCE5Wakw49UXbtRo6u6JhNods+sI266Xwk0gkEskqQHgeXqnh/SrkF7xk58TcvNcsj1+roYZC+MXS/DouqGB9SVQVLRpDTzWhrVuPGo2hxWJo8+M4aqwxHY5QGzqNVy6hhkKNIUztzBClgy9RO3OazD9+jcy3vh78mV/N+QHFtBqirh0tGgg8NRpDi0TRojHUaDCeXx6NoobCKJf4rx45cGDN9dOVYnANIITgDyf/FICNVu+bbvtQ/ME1dxFeK55fYWLm82TyT6IoBu0tH6c58T6UW6x3ouTqcRyfk8erHHkjEICnT9Xm/yN0HTZvsdmy1aavP0TfFvuae/mVPI+BcpVjpQoD5SpDlRo+LAr1BIioKruiITaHbDaHbTaHbOKyB59EIpFIlhDh+4GYy+fxCjm8XG5hOp/HzeXmp1U7hKg7gdfuavPfVBVF0xCu2/CWxTDa2ucF3WUFXjSGGg5f032r0dp20bJQXz/Jd70n6L/9/LMUnnsGfDEv3M4XcVrkAnEXiaKat3Y0mRSDK4SiXH3S4GR9an56sHaa3jM+E+0aFWvxMQzF4IHYvTfMxtVIuXqSsxN/SN2dwjY30N32K9jWupU2S7LK8DzB6cEaR94oc/SNCieOV3EbYZ+qChs32Wy7LcT220Js6rMxzWt7kDBXdzlWrnCsVOVYucLZqnNRGvAG22RLOES3ZWKpCn1hm3bZv08ikUgk14BfreLmsnj5HF42GKuxGOEdO/FLpXlR514g8Lx8rjEEHj3EFe47dR0tGqM+NYEaCqM3NaGu61kQcecLu3PCKhZDjQSC7tzxL+UtWy5UyyLx4MMkHnx4xWxYi0gxuAYYqJ5YNL/xtMePOffw+30vAvDLrT/Pd7OPc1t4O9GbtH2CEIK53KNMzHwBgU9L6sO0Nv0kqiIvYUlAZs7l0KtlXn+txOHXK1TKC+EhPRtMtu0Is21HiP5toWuu8pmtuxwuVeaHyfNCPQ1FYVskxNawzdZIiL6QjaEo6NfZMF4ikUgkNzd+rYqXyy2IvFy2IebOee0a87kcwqld93nUSAQtlsDo7EKLxdHjCbREAi0WR4sn0OLnxgnUUOitRZbJB51rFnknvQY4UT25aH7DsM/OdzzEv+18kD57E6Zq8mD87Stk3dLj+RXGpv6cXPF5NC3OurZfIxreudJmSVYY1xWcGKjw+qtlDr1WZmTYmV+XbtW5+94o228Ls3V7iFj82kIxi67HkXKFw8VA/I3UFo4dVlX2xsJsDYfYFrHZaNtS+EkkEsktjhACv1TCzWXwslncbCYQednGfC6Ll83g5rJXLlKiaWixOGZHZyDeEkm0eGJezNXODOGMjgReuwtEnX5uOhZHka2GJFeBvEpWiCt5689nsDa0aH7djIndu4kdq/hLLoRPoXyQsL31LTV7rzljDI//N2r1McJ2P+va/xWG3nQDLZWsJbIZl1cPlDj0Wpkjr5epVoMvkm4o3LY7zK7dYXbuCdPeYVzTE86q73P0nOevWGGoWpsP+7QUhd3RMDsiIXZEQ/Talgz1lEgkklsE4ftBqGUug5tdEHSBwFtY5uVyCLf+psfSYnGMdCt6ItUQeQn0htDTEsn5eTUcedNwy9jd993ol3nT4wmPgleYL8ZY8IPpsl+m7FUo+WXajDQdRjs+PiE1TMkvUfJKFP0SRa9EyS/RabTzjvjbid1EkXirV03crFxjawlXuAzXRhYti/VuWdVPe4QQTMx8gdncd2hOfoCOlo9f9b6V6immM9+grfmj1N0Zhif+B75fojn5AdqbfwZFhoXeUgghGBtxOPhyiVdeLjF4aiFcpq3d4P49gQDs3x7Csq4+9FMIwUjN4bVimdcKZY6WK7gN9acrsDVsc1tDAG4OSc+fRCKRrEVEvY7bCMP0cjncfA7r6BGys5MY7R1B5ctGlUzfqaGaViN88zxvXj735lUpNQ09kcBc14OeTDZEXRI9mWrMN8bxxKq+d1tN+MKn4BXJeTlyXj4Yu3lKfpmyX6bkl2k32rgzso+acCh4hUDgnRv7geA7t6zgFSj55Rtm35fnvsp90bt5OPEgG6weDMW4YcdeCeRVuco564zi4s7P95z1CW3dvoIWXZmZzDeYzX0HgEp1kEp1ENvacMVqn4XSKwxP/AFC1Ki7GSq1QRSgq/VTpOIPLIPlktWA7wtODFR55eUSB18uMTUZPGlVVdi2I8TefRH23B6htf3afnxLnsfrxcq8AJxzF75XG2yTXdEwO6NhtoRtLNnaQSKRSFYl5ypjupk5vMwc7twcbqYxzM3i5rLQ8OZdqhqmDcy88OwVz6OYJloiib2pb17caclk4MlrCD09kUKNRle0aMpa4VICL+uem148n/cK+Fy5LcRX5r72putVVGJalCa9ifVaD3EtRkyNBWMtSlSLElHDhNUwIdVmsDZEyS/jC4+qXyOqRYlqESJqmKgaJaSGOFR+ncfyT/BU4Qc8VfgBpmLSY3ZTFVXKXgU9qnGbfxuWat2ot27JkWJwhbjaaqKnq0MAfLz5pxk79Cx3/v1JQr++esVgtvAsk3NfwtBbEMKlXD3KqZHfYl37p0lE777sfpn8M4xO/SmKEuR2VWon0NQYPR2/TiS0bbnMl6wQris4drjC/heKvPJykUIh+BOwLIU77oxw+9ui7NobJnqVLR+mnDoHCyUO5Eu8UaqgKwqeEPN/LTFN5d5ElD3RMLuiYZKG/CmUSCSSlUQIETQpvyDPzs1eIPqyGfC8yx5HDUdQNA29qQltQ28g5M4Lwzw9OcX6eAy/XAoKqcTiaLFYYIPvz4u9t1xQ5SZECEFFVAkpNoqi3HCBZys2CT1On9FKQouT0BIk9DhJLUFci88LM0u1OVw+wsnaIBE1TKwh7uJanJgabYi9GBH12tpW9FxFdfp1VhfvSz7Ca+U3eL74IserJzldO0NYDRFSQ0T9MJqytlpGyTugZeYao0Tn8wW3hbay8/EnqHtBvuBqpFw5zujUn6GqIdZ3/r+MTv4ZrpdtrDtG2N7KxMz/oinxbiKhBUE7l/seY9N/haqG2dDxr5mY/Vs8v0RPx2ewjPaVejmSJcbzBMeOVNj/fJEDLxUpNgRgIqnx4MNx9t4RYduO0FW1ffCF4FSlxoFCiYP5EsPnFXwBcIWgL2yzOxpmdzTMxpDM+5NIJJLl4JzIc+dmcGdng/HcLPXZWdzZGbxCHlGv4+WyiPqb5NypKnoyibVhI3oqhZ5qRm9qQk8tDFoydcWece6BAyT37bvBr3Lt4gufvFcg62XJuFmyXo68lyfnFsg3RFy+Ie7yXgEPj6SWALhugZfUE43pxfPX4k1rT7TyMA++lZd+3aiKyt7ILvZGdgHBNX5OdB44cAB9jaU0rS1rb0GGamfQ0OgSzZwdPYu9ZeuqjDl36tOcmfjvCOHR0/4ZbLObtuafZDb7XQrlg5SrJzgz9ntUnWEEgkhoO4XSK8xkv0WpchhNjbGh67cJWRvo7fr3ALKJ/E2I7wsGjlZ48fkiB15c8AAmkhoPvyfBnXdH6eu3Ua8iR6/uCw4Vy7xcKHGwUCLnBk+KDUVhbzTM7fEIt8ci2KqCAKLa2npSJ5FIJCuF8H28XJb6zDTu7AzuzAz12YVpt5Ajsvt2mn70J9ATSdzMgrhz584fz1Kfm0VUK5c+kaKghsIoloXZvQ4tngzy65Ip9EQiyLdLpQKhl0jKcMxrwBc+Rb9Ixs0y52bnxV7GzZLxMmTcHBkvS87N4XF5TytASLGJ63E2Gr3YisWwc5aQGqLtBgu8tcpa9yCvPlUhmUcIwagzRofZjj88AkJg925cabMuwvdrDI//VzwvR0f654hFdgMQDe8iGt7FwNC/pFI7Nb99tTZEtvAsI5N/DICuJdnQ9W+xzS5AisCbDSEEw2ccnnsmzwvPFcllgz+deELjoUcCAbhl69UJQMf3ea1Y5sVckQOFMpVGUn9c03gwGWNfPMLOaBhb3jBIJBIJ0GhanpnDSLeCqi6IvJlp6jPTgTdOUXAbwq/eEHKXC8U8J94Kzz5N4YfPvGl5dDUSwUin0Zta0JubMRpjvakZvbkFPZlalQ+4VzNCCAp+key8sMuScTNkvFxD7GXIeFmyVxB5OjopPckmu5eklqRJT5LSk0FophYn3hB2cS2Gqb65t1WytpHfwJXiKlIG57wMFVGly+igejgQU9YqDBEdm/4bqs4wTfF30Zx45KL1IWsDdXeKRPQ+XC9LqXKYkcnPzq/v7f4PMhz0JiQz5/L8Dws890yBkbNB2GYkqvLgu+LcdU+U/m2hqxKAVd/n1UKZF/NFDhZK1Pzgy9Ni6DyUinNnIkJfyJZhnxKJ5JZANMTXOW+E7ziBiJueagi8KdzpYFyfmcYvFILtTQvhe3Be8axLoSVTWBs2YjQ3ozen0ZtbMFpa5qe1cBjh+xSef5b8k4+jGOaCuGuMjaZA8Kmh0NK+GTcJnvDIejnm3Axz7hxzbrYxzpDz8tiqRc4rkHEzZN3cosKCF6KhkdKTbLQ2kNKTJPUkKS0Qeik9RUpLkNJTRNXImvdoSW4MUgwuN9fQX3DUGQOg2+yiNjQIsOo8g5n8U2QLTxGyNtKe/tlLbtPa9OOE7M20JN/P5OyXKVUOoyomG7p+m7Ddt8wWS5aSWtXnwEslfvhMniNvVBACNA323Rnhvgdi7NoTQdevzgP4aqHMs7kCrxbKOI2bnzbT4K54hLsSUTbalvwjk0gkNyWiXqc+M019epL61GQg9KamGvNTKJaJaph4xSLCqV36ILqO0ZLGWt+LFgpTHRpEi8UwWtLoLWmMhrhDCBTLRG9OYzQ1oxhXrtSsqCrx+x4gfp+s9P1mCCGoizpzboZZd46Ml2HWzZBxg/E58Zf1cogr3CBqaCT0BOutnnkvXvKcyNMaQk9PElUjqDLCSnINSDG4ihlpiMEus4Pa6adQI1H0dNsKW7VAtTbM2PRfo6oR1rV/GvUyfVZsaz22tR6AePRuSpXDtLd8XArBm4ih01We/n6e539YoFoJ/tA299nc+0CMO++JXlUVUF8IjpYqPJsr8mKuSLkRAtppGtyViHJ3PEqPbUoBKJFIbgq8YpH65Dj16Snq80JvEnd6Cjczd8nwS8UOYbS2BesRGK1taLFYIO5a0kFD83QrRkta5tjdQHzhk/Pyi/Ltcl6ODqMdXdEW5eQt5OblKPrFNxV5OjpNeop+u48mPXXe0ESTFkxHtSg1v0ZMi0qRJ1kSpBhcIZSrcBGONcRgh5eiPjVJ6LZdq+ZG2Pcdzk7+IUI4rGv/l5hG61XtF7Y3sWnd7y2xdZLloFL2eeG5Ak8/kWdoMHgy3dSk8+73xrjvgRjtHVfOMRBCcKbq8GyuwHPZAnONIjBNus7DTXHuT8SkAJRIJGuWecE3OYkzOR54+SbHqU9O4Jcu7oGHoqA3NRPq3xaIutY2jHQbRmsrRroVNRqTv4c3kKpfY9adZaY+y7Q7G0w35mfcWYp+CUsxyXn5K3ruziekhkhpSdqMNCE1dLHQ01M06yli6tV9nvYtUIRFsnJIMbiKGXXGUVBoGiszDdgbelfapHmm5r5CzRmhKfEI8cgdK22OZBkZPFXlqe/nefGHBWo1garC3n0R3vFwnF17wleVB5hzXX6QLfBUpsBIow1ERFV5KBXnvkSUbZGQzAGUSCRrgmsWfLqOkW7F7tuK0daG2dreEH6tGM3pqwrTlFyZoGVCnhl3jhl3piHw5jgZPslXzn6T2fosBb94yX0VFJKNQiq+8Nli95HSE/PhmEktQUQLc6Z2Flu1SGkpko31ST0pxZtkTSHF4CpBCEHmH79G+Lbd2BuDIjEjzhhtRiticBwAs3v9itiWL77M+Mzn2ND5O1hmO6XKMWay38I02mlv/uiK2CRZXlxX8NILRR7/bpbBk4EXsLlF5wMfjvP2B+Okmq78U+IJwauFMk9l8xzMl/AAXYE74xHuT8bYG41gXIWQlEgktxZCCNy5WZzREZyxUbzsHNE770WLRtCSTVfsK3cj8KtVnIkx6mNj1yf42tox2jowWtvQm1tk+OYNwBc+WS/HVH2aaXcmGNdnmHZnmHXnmHVnqYtLFFoxwHRMWvRmeq0NtBhNtOgttOjNNOtNpI0WmvTUVfWK2xfZuwSvTCJZXqQYXCXUTp9i7qt/z9xX/57Nn/sSRa9EwS+w2e7FGRkBwOxet+x2DNqw8AAAIABJREFUeX6Zsem/nK8CquvJ+Uqg3a3/AlW1l90myfKRy7o89f08TzyeI5f1UJTAC/jQI3F27Lw6L+B4zeGpTIFnsnkyjTDQ9bbJO1NBGGhUl/3/JBJJ0NvOnZlGP32KzOTovPhzxkcR1eqibbPf/b8AaKkmIrtvJ7xrD5G9+95SCKXw/aAZ+sQYzvgY9fFxnPFRnIlxvMzcxTucE3yb+zHa2wPB19qO0dYuBd8NQAhBzssz7c4wPS/4ZpiuzzDlTjNTn71sVc2EFqfHXEez3kzaaKZZb6ZFbyatNzNyZIT7994nw20lkgZSDK4QF0aee7ncovnp+jQAbUYrztgAaBpme8cyWXeeHXNfxfWyADj1Cabn/g91d4qW5AcJh/qX3R7J8jB0usrj38nx4nMFXBdCIZX3vD/Bw48kaW2/cgiTKwQv50s8NpfjSCloNhxWVR5pSvDOVIwNshKoRHJTUvSKjNcn6DK7CKuXbisgPI/69FRD7AWCrz42gjM+hnAcIsDsuY11HbO9E7OzC7OrG7OzC1Qt6G+nqpRfPUj+qe+Rf+p7hHfvJf2xTwb99N4Ev1alPjGOM35O9I3hTIxTnwjOfyF6UzOhHTsx2zsxOjox2zuk4LsEQgiKfomKXyHr5phyp5mqB8NkfYopd5qiV+K+2N38WOqDtOjNFP3SvLgLvHrBeKrh4XPExZ8HQFyLsd5aR9pIk9ZbaDVaGuM0LXrzm/bFmxOz8v9HIjmPFRGD/f39nwJ+A+gADgOfHhgY+MGbbP9R4F8DW4A88D3gMwMDAxPLYO4N5tI/QH6lsmh+yg3EYFpvwRn9PkZb+7I3Zq05Y8xkv4OuJXG9LIXyq9ScUQy9ldamn1xWWyRLjxCCw4cq/N9vZjh6OLge2zsN3v3eJPc9EMO2r3zTk6m7fD+T5/tzuXkv4I5IiHem4twZj2DKGyeJ5KagLuqMOeMMOyMM10YYds5ytjbCnJcBoNWN88/dD9A9reGMDFMbOYs7O4NimrhTUwi3vuh4imFgdnZhdHYzIxQ2vO1OzK4ujHQbinZx9EB039sAcLMZakOnyT76fym/9grDRw/T9OEfJ/7AO4McvobI9KuVILRzfCxoqH4BimlhtHdidnRitHdgdnRhdnRgtHegWrdmBIwQgoqoBk3M3eChcE3UmKxPNYZpKn4VTVEbLRIylxVvCkqjMmaEJ/JP83T+WUzFoCKql9w+okboNDto1VtIGy2k9TRpo4VWPU3aaMaWUUkSyQ1j2cVgf3//TwH/E/gU8Gxj/J3+/v7tAwMDw5fY/j7gC8BngK8DbcBngf8NPLxcdi81fqW8aH6q4Rlsqtr4lQrh25Y/RHRy9kuAR0f65xid/Cw15ywAnemfQ32Tp26StYXnCV5+sci3v5nlzFCQD7hjZ4j3/kjyqkJBq57PYLXGY7M5XsoX8YCQqvLepgTvbk7QZclrRSJZqwghmHXnGHbONkRfIPzGnQk8PBRf0JwRtE0J7p22WDdtk5qsEZ6bAv6G6XMHUhQUywbhY67rWeTpMzu70VvS81620QMHiO7bd1X2VWMGI/1RSps/wKbX3k7my3/H7FeC4ZKvJxkjvH0HZntX4OXrCLx9eqrplvLy+cJnxp1lzs1Q82uNHLtgONcTb9ado3oZsXYhCS1Ot9lJk57CUixSepJWo5VWvYVWo5W00YyhGHjC44eFF/h29lF8/Et69tJ6C2EtvMTvgEQiOcdKeAZ/HfjcwMDAXzTmf62/v/+9wL8A/s0ltr8HGBkYGPgfjfnT/f39fwT80dKbupQsDhS9yDNYnwEgNRM8PTW7upfHrAbl6gnypf2E7D7ikbcxbbZTrQ0Rj95NLLJnWW2RLA2O4/PsUwW+860M01MuigJ33h3l/R9Ksr43qIR2qVCabN3lu3M5vj+Xo+j5i67kHsvkkeYE9ydi2Nqtc2MlkdwMuMJlxBllqDbMUO0MQ7Vhhp2zlP1GqHdZ0D7ps3Fa4+EZm7YpjehkCbXuNY4Q/F+psRh+/yZeTU0z2FJG7erkp2/7FN2xDQgh3jRETwhBQSnySukQGTeDqqiMOmOMOKMUvRK3R/aQ8/KMOKOMOKNkvYUUi67uTn7qdz6G+e1n8SYmKaRDjDW7DCaKzBolZlMKjlWnVc/TrOu8J3kbd0V23rQhg77wmXMzjNcngsGZZLI+yUR9ksn6NB7eZfeNqhFajTTNeipoZq4lqYkaUTVKm9HaGNJoio6mqBiX6TN8IZqi8UD8Ph6I33ejXqZEInmLLKsY7O/vN4F9wH+7YNVjwL2X2e2HwO/19/d/EPgW0Az8NPDtpbJzKblED1kAvHKjvHHjyeSUOwVAYrRIieUVg0IIJmb+NwDtzR9FURQi9jZcN0NHyz9bNjskS4Pj+Dz2vSyPfTNHPuuhGwoPvivO+34kid2i8u2ZLP/x6BgPNcX5WHvL/H5jNYdvzWR5JpvHveA6vicR5ZGmBFvD9k17YyWR3EyU/QpnasOcqQ3Pi7/x0gjNMy7RksCuQsec4J4Zk1TJJJapY+TPeYnqQDXI5+tch7WuB7O7B2vdOszu9WiJBIqi0O3X+PzM3/JE/mlem/rPfNz/Gd4df+eCDV6Zs85oEGLaCDc964xQipdh/GKbFRRO1E7Nz7fozewN76Lb7KLkl3gy/wN+v/5XcP+5LYLQxrTeQrfZxz6zkzk3w3PFF5lypzk6MYClWHSbXXww9T7uityxJn+/yl6Z8foEY/UJxpxxxuuTjDvjTNQnqV0ibDOiRthgrafDaCOpJ4io4UbvuyaaG33wZGsEieTWQRGXUydLQH9/fycwCrxjYGDgmfOW/zvgnw4MDFyyIkl/f/9HgM8BIQIB+zjw4YGBgcqltj/HgQMHlu/FXSXlV79G6h0nmXhyB6nb3z+/PPT972IeeR3fsin80q/xl9EvUFWqfOab67HeeI3Cz3wCvyW9LDaq+imMyFfx6ptwyx9pLBUQNANYFhskNx7PhYOHTF7eb+MWFDAEe/Y63L6vhh+FlzSL1zQTt3EzpAjBJ+tFqijs1yxOqjooCknf422eQ5vw0BGkhb/Cr0wiWXpq1CioJZr9FMplcr9XK0WlxJQ2zZQ2zaQ2w5Q6TcXN0jEh6Jjw6Zzw6ZwQpGcE6mX+Nf1YHK85jdfcgt+SxmtJ4ydScIl8vgs5rp/i0dATVNUqPW43utCZ0WbJq4VF2ylCIeknSPvNtHjN2MJCRSPtNdHsN1Onzqg+TtKP0+w1YbI4BH1Cm+S4foq4iJH0E9i+TZOfwmSx18rFpaAWecZ+jjFtgqIatIbYXO/lXZUHiYnoNby7bx0Pj5yaZ07NEBIh0l7LRTYvbJNlTs2Q0TKN6SxltXzRMXWhk/KTNHlJmvwUKT/ZGBKExKUL+0gkkpubffv2XfLPa9Xf2ff3928nCAn9T8CjBEVn/ivwZ8AV3VT7rjLvYLn4watfA0BVlUW2jT/7ZOABjEbZe/teCqf+hPXWOpLCpwLsfvDBZUliF0IwOPIPVGoK/Rt/Gdta/lxFyVvnwIED89dXvS54/PtZvvH1OWpZgTDAuwfcuxUOx0O44SZeLZZwBTQbOh9qSRLTNP5wZJIv2wlKfiD2NoUsPtyS4o54RDaEv8U5//q6GRFCMFGf5Hj15Pww4owiEOwIbeNX2n6JJj21JOeddmc4VT3Nydogp6qDjDpj3BG9nU+2fAxTNfGFj6osDsH2hc9EfQoQzLkZTteGGKwNcbp2hll3DqPkNESfYO+ET9cENM0tfoijWBbW5g1BwZRwGD2eCLx9PetRw+G39P+zj328x303n538C96oHAEgqSXYae6gx+pmndlNj7mObrMTUzXf0vX1gWvY9l2NsgPjzgR/Mf05jnCMUWuCjzb/JA/HH7zofX6rVP0a4844o/UxRp1xRp1gPFGfXBSyGVHDvCvxEK5wGXfGGatPMFWfxueCzwyFtN5Cn7mJDqOdTrOdDiMYmvTUDbf/ZuFm//2SrCyr9fo6cODAZdcttxicIXAvtV2wvA24XGXQfwPsHxgY+K+N+UP9/f0l4Af9/f2/NTAwMLI0pi4Rl7mJ9orBE1LFssh6OVxc0kYL9cljaMnUslUzK5YPUakNEo/cJYXgGsf3BU//IM/ff3mWypyP0MG4V+HDH27i7Z0xPn3iDAXP5+VCiXbT4MPpFG9PxNBVBSEEj8/lOFqusjcW5kMtKRkCKrlpcXyHU7XTHK+e4Hj1FMcrJyn4C14rSzHZFuqn5tc4XDnK75z9j/xGx7+i197wls5b8Iqcqg5yqnaak9VBTtUGyXsL51VQiKpRnsw/w4nqKcJqiKHaMGm9hXtjd1HxK5yunWGwNkSlkddnVwRd4z7dY4J3jUPXhCCWW5wbpkYiWNt7sXo2YG3oxVrfG1SsXsICKk16it/q/AyjzhgJPUFciy3Zua6VDrOdf9v5mzxZeIYvznyJv5r+PM8WXuCXWj9Bl9l5VccQQpD1cow54yT0OEWvNC/2AvE3xox7cRXTkBqi11pPl9lJq5FmvD7BK6VDfCPzrfltYmqUTfZGOhcJvg7ajPSbtlCQSG5VhBD4RQ93to47U6feGIu6wK966CkDvdnAy7m4WRcv64IKakjFL3hocZ3YA0nsreH5+x7hC7y8i1/18Us+XrY+v69X9BBVH3euTriiI3b7KPraeRizrGJwYGDA6e/vPwC8G/jKeaveDfzDZXYLw0VZzufm1847fQW8QuMGwPPIuEFp7pSawJ2dwe7bsmx2TGcCz2W66UeX7ZySG8/pIZ0v/N0Q2REPoYF2t8IHPpTigxuS8+0dfr2ng69MzvLe5iR3J6Jo5wk9RVH4zfWdFD2PFvPqCgNIJGuFsldmoHqSY9XjHKsc51R1cFHz6ha9mZ3hu9lib2aLvZkeqxtd0RFC8NXMN/k/c1/nP4z+Hr/Y+glMxSTr5bk/evdlKyCe8zSeqJ5isHaaaXeWEWeUyfrUou1a9Gbujr6NTdZGNtsb6bXWoykafzP9RZ7IP42KSrvRxmh9jK/MfQ2jLuicELxjIsr6iQipkRLR2dqiY2rxBNaujVjrG8KvZ0NQuXMFHuyoiso6a3mLoV0tiqLwUPwd7A3v5m+mv8j+0sv85vC/48eaPsiHUx9AV4LbpaAReo6zjaI2C8MYJb902eMntQQ7QtvoMjvoNDrpMjvpMjtIacmLPouyV+b1ymGSWpJOs4OYtrxhqxLJasF3fPyih5bSF31P/KofCL3ZOu6ME4i984eZOsJ5a5li+SczGG0miq0Ggi/vXtwk/BKoTQrCv1wjudXJSoSJ/j7whf7+/v0ExWF+GegE/hSgv7//8wADAwPnQkD/EfiL/v7+f8FCmOgfAAcv1YpireKXggIywnXn+/kkqgYIgdHaviw2lCpHKVePEQvvJWT1Lss5JTeWocEqf/mFKUaORhB4KDvhkY8k+PEtzRdV99wVDbMrevny3bamyoqgkpuCnJvnWHWAY5XjHK0e50xtGNH4V1dQ6LXW029vYWuojz5782VDQBVF4cebPkyP2c0fT/4Zfzz55/PrHs1+j9/o/DTtRitVv8qp6mmOV09yonqSE9XBRZ5GCEIBd4VuY7O9kU32RjYa64nMlHHOjiB8D2fsEHOnv47Z2ckvfOSf8pH4j2CNz+EPnmXyxCvUh05jTmRQfAHMAaCGI1g7dmL3bsLq3YS9cRN6qmlp3tSblJSe5Nc7fpWXigf46+kv8JW5r/F8cT9b7S3zwq94gehTUGg32tge2kqL3kzGy9KiNwWCzwhEX0SLXLUNYS3MXdG33eiXJpGsCoQQ+CWP+nQdd7oh5qYDEYcCftnDy7i4GRe/FPh+jDYTo8uaF3t+8fKVcNWYhtlloTcH3j+9xZifVkwVNaTijNQQVR8toaMldfSEjl/xEUKgRXVqZyrkn8xQ2p8HTUFP6BgdYfSkjmKpaFENLamjJXT0pIEa0VBDKnqTwSuHX0E119a907KLwYGBgS/39/c3A79DIOzeAN4/MDBwprFJzwXbf66/vz8G/Crw34Ec8ATwm8tn9Y3n/CcGQgi8Rp9B4XnzTXvjheBmxWi9MKp2aZjOfB2AdOrHluV8khvDQLkCBfjWlzO8/nwZBPi9gjs/EuMTe9NE9SsXeJBI1jKucDlZHeRw5ShHKseIqGFuj+zhePUExyrHGasvZCEYik6/3ce2UD9b7S30hTYTVq+toMbbovv4XeO3eSz3BGm9hYyX5bHc9/mds79Li97MGefsvNiEc57Gu+izN9NjdtOsN9FSj+KcPkn15AmqJ79DZvAks+WLPUvlQ69QeP6H+KXSfKN2FbBNE2vTFqzejfPiz2hrl6HcN4i3RfexI7SNv539Ct/LP8mIM4qCQpvRytbQFrrNLrrNLtaZXXQY7TJcUyJpIHyBl3WpzwRCz52uXzQtqm9eeE6NaOgpHW2jjWqqlF8vUp90UCwVvcXA2hjCOE/knT+o1pWFmNl+cbVcLb4wHd4RJbwjesVWODcLK1JAZmBg4LMEjeMvte7BSyy7CfoKXh5Rr4MbhCgJz2WuESYamwtKQi+HZ7DqjFAsv0bY3kY4tHxhqZLrZ9Kp87mzUxx6ooL+A1Ac8Ntg4wct7m+a4V239620iRLJkuAJj8HaaQ6Xj3G4cpTj1RMXldDfXwqS5UOKze7wbWy1+9ka2sImq/eG3LhvsNbzS62fPG++h7+e+gKj9XG22H302RvZYm+mz95MUktQHx+j+toA1VPPUD15gqHx0UW9hozWNiK796LG46h2CHvjZqye9cx946sUnv8BZlcX1nkeP7OzG+UqKnlKrp+wFuYXWn+W9ycfoSYcuowOKfoktzxCCLycS32qjjvlUJ92cKfqwXgmEHsX9Z9qoIZVjFYTPW0EYq7FxEg3vHctBsIVaDH9IkHn13xEXaBG1GUVZ7eCEIQ1UE30VsAvn1cW+rww0chkEDq6HJ7BueyjADQn37fk55JcHxXP58V8kT2xMI/P5vjmixmUR8GYBRGCxId0fumDreyIhTlwYOrKB5RIVjkz9VlerxxmoHKCyfoUES2MJzyOVo5TFdX57brNLnaEtrIjtI1toa28Vj5E3iuwze6nx1qHpiy9aHoo/g7ui96NpmhoHtSGTlM5cYzq8ac4fWIAv3heYRjLIrR1O/amvvlBi8cvedzWT/wC6Z/9+VvmpmQ10ml2rLQJEsmy4pW8eaF3vuirT9Vxp53L5uNpCQ1rvY3e0hB7aXN+rKcNtPD1/Rarlgqy9eWSIcXgKsCvLIhB4S54BsOjeVyWXgx6XolM4RkMvYV4ZPWVw5XAy/kSfz46Rd7zULKgPwba8aA47TsfiXP7B6NsbwnJlg+SNcW5wiqvld/gcOUoW+xNtBttvF45zOvlI4zXL11kutNoZ3toGztC29ge2kpCXyyk7o/duxzmz+NXylROnqB6/BiV48eoDZ4MIj4a6M0thHfuJtTXj715C2b3umuq3CmFoEQiuZH4jo/bEHf1Kach9hZEn1+6dBinGlExOy301oZHr9XEaDUxWgMv39WEaEpWH1IMLjeXeJjin5cnIlyXjJchokZQZ+ZQbBs1cvWJ59dDJv8UQtRoSvwEyjI8QZdcPZm6y+fGp3kxX0L1QdsP+tOg1KFvq83HP5mmZ718XCZZG0zVpzlUfoOMmyXn5Xit/AbT7sz8+pdKC32QbMVmX3gPt4V3sNneSEKLM1mfosvsXJIef9eCm5mjcvwY1eMDVE4M4Jw9sxDyqSiY3T2EtvRj923F7tuC0dyyovZKJJKbC+EL3Lk6qq2iRRdu5X3HD0I1pxv5eY2xl3PRYhrubJ36dD1opXAJFFNBT5vYWwyMtNkQewvTWkTeI96MSDG4CjjfM4gImgY36U24c5PoqaYlfSoshM9s7lEUxSQVf+eSnUdybfhC8EQmz99OzFL2fXqzJsq3YGzIIRJT+egvtnDv22PSYyBZ1Ti+w9HqcV4tHeK18qFFhVwAwmqIOyP72BXeyQarh8dy36fVSLMztINNdu98Of9ztBrp5TR/HjebpXLsCJVjh6kcO0J9Ynx+naIb2Fu2Bl6/Lf3Ym7agLfEDPIlEcvMgfBEIuPFaUCTFVIneFUfUBfWphdDMYPqcyKuDJ0CD0PYIoupTn6njZS4t8uZRQW8xCO2IBLl7rYtFn5bQ5X3FLYgUgyvGgovQOy9n0DGg7FfYpCbwS6ewNixti4dS5TB1d4pk7EF02ctoVTDt1PnT0SkOlyrYnsLel0IMPFHB9+G+B2L89MdaiMXl0znJ6mTOzXCw9CoHS69yuHJ0vrCLpVjsC++hw2wnoobZHtrGZnvjony+zfbGlTJ7EW4+F4i/ow3xNz42v06xQ4R37SW0dRv2lq3Y63tRDNmLUyK5lRBu4Jnzaz5mdxCd45d83BkHL+di94VRz8uPu1DwOeMO9QmH+mSN+mRD2J3H1J+OXvbcWlzD2mBjtJo4ozUqr5dAA6PFxLwtEoi7tLForEZUvGLQbF3RpNiTLEaKwWVGXOKJy/kFZArRYH3StQHQm5qX1J5M/ikAmqRXcMURQvB0tsD/Gp+m4gu2zlgUvupxdKpCulXnE7/Yyo6dl+8LKJGsBEIITtfOcKD0CgfLr3K6dmZ+XZfRyZ7ITvaEd7E1tAVDWZ2iycvnqQwcaQjAIzhjI/PrFMsK8v227SC0dTvW+l5ZxVMiuckRQuBlXJyxGvVxB2e8Ni/k/IofhFk29JuW1INql5WFPDslpBLdF8Mr+ZcVfABqVMPqtTHaTcx2C6PdpD7pUH6tiBbXggIs53LyGnl6qn2eyBQCv+ChRjUU9c1F3vn7SSTnI8XgKuCcGFQMg1IkcPFHq8GXdinFoOcVyZf2YxqdhGzZTmK5EULw6FyOJzJ5PtrWzONzeQ4UStg+3PFSmMPfC66L930wyY/+RBOWTMyWrBLquBxoeP8Oll4l4wUVkDU0doZ2sC+yh9sje1YsrPNK+I5D9fhRym8conz4dZyzw/PrFNMidNsuQlu3E966A2tDL4ou/yolkpsRv+ZTH6/hjNYC4Td2Tvg5iNrFRVTUiIYaVrG3hjGaDYQPlSOlRnuEoHKmYqkUns1SeDYX7NMQfGa7idEQfOeG8/P9zqfpx1uvyn5FUdDi8vdJ8taQV9Aq4FzOoBaLUwoHlUQj5UbD+SUUg9nicwhRJxV/UMaILzMF1+NPRic5WAg++/9yJshB2pyzqH/V543RMq1tBr/4qVb6+q+tIbZEciMpeSVeKR/iePUEo844jqhzOj6EOx48uIqpUd4eu5d9kT3sCu+85gbuy4HwfZyzZ+bFX/X4wHwDd0U3Aq/fttsIbduO3btJij+J5CZCCIGX96g3BJ/9isbYY0M4ozXcmfpF2yumgtFhYXaYGB0WRoeJ2WFhdFho0avzrjX/VBvOWA29Sb+s4JNIVgvyCl0hzpde56qJavEEpXDwhD2cD260tKUUg/mnAJVk7O1Ldg7JxQyUK/zP4UnmXJedkRBVXzBUrrLnUJgj3y7jefDQIwl+6qPNWLb0BkqWn5yb5+XSQfaXDvBG+Qge3qL1zX6Ke5vvYV9kD1vszajK6rtO3blZyodfp/zGISpH3sAr5OfXmevWE96xk/BtO7G3bEM1ZSNxiWStI7xGwZWxQPQ5o7WGAHTwSwu/YRY6ZYpoKZ3Qjghml4XRaWF2WhidJnqTccWQyyuh6ApWj/1WX5JEsixIMbjciEvkDFYqAGjRGK9vD26qwtkasHSewaozQqU2SCx8O8YKl2m/VfCF4FszWb40OYsAfqq1iQ+nU0zN1fmrL07x+tEyqSaNn//nbdy2W+YGSpaXWXeO/cUD7C++zLHqcUQjIabXWk+vtYFtoX7ajTZiWozRQ2fZ1786epLWpyYpHXoFZ+QsfrlE7cwQXrmEX1ho8q4lU8Tue4DwbbsIbb8NPZFcQYslEslbwSt51CcauXyjDdE3VsOZcMC9IC9PA6PNIrQ9PC/4Bgun2fnQ7utugC6R3GxIMbgK8GtVAE6t8zm1MfhxCs0G4YNLlTOYKzwPQCJ235IcX7KYvOvxJyOTvFIsk9I1fm1dO9sjIQ69UuIvPjtJoeBz+9si/Nw/byV6lWEoEslbJeNmeaH4Es8XX+R49eT88i32Zu6M7OPO6B2XzPsb5exymrkIUa9TGThK6dArlA+9Rn1i7KJtFMsivHtv4P3bsQujs0uGwkskawiv4OKMBELPKy6Iv/pEDS/nXbS9GlKx1tuYXdZiT1+biaIv/u57BwalEJRIzkOKwRVj4emVXw3E4FjTwg+cPV0KGs6H3jz/plIdxDTb0dTAk1SrT6CgYxqXb3IshCBXfB5FMYlFVsfT/ZuZoUqN/zY8zkzdZXc0zK90txFG5cv/e4bv/GMWXYePfaKFh9+TkDeskiUn7xXYX3yZ54ovcrQygECgoLAjtI27ondwR+T2FW/qfiFuLkv51YOUXj1I+cjriFoQOaFYFpG9+wjv3IMajWK2d2Ku6wHflxU/JZI1gFf2AtF3trpofMmm6CoYrSbWxhBGeyOnrzMQf1pS9seTSK4XKQZXAaJWA1XFsRaWhSbzVwxlKleOMzj674iF97G+8zcQwufEmU8DcNvmL112v6ozjFMfIx65C02VMe1XwhMC7Tr/ZJ7LFvjT0SkcIfjJ1iZ+LJ0iM+vye38wxuDJGm3tBp/6V+2s77WufDCJ5DopeSVeKh3k+eKLvF4+gk9QJa/f7uOe6J3cFX0bKX31hE4KIXBGzlJ69QClVw5QO30KRKOoVnsnkd17Ce/aQ2jL1kv3+JNCUCJZNXglD2e4Sn3KAU8EoZ0N4efOXSz69BaD8N4oZnfg6dNiWlDIpdVA0VdffrJEstaRYnAV4NeqqJaNc96noWYLsLuZN07+NN1tv0oydv9F+xUrrwNQKB8AoFYfv2gbz6+gKvaiJ2a5wnMAJGIbWA5CAAAgAElEQVT33MiXcdMhhODvJmd5dC7Hb2/oZEv46qsk+o19/3EmS0hV+My6Du6IRxg4WuH/+4MJ8jmPe+6P8s9+vpVQSP65SW4cvvA5XDnGs4XneL64H0c4KCjzOYCbrF7uid7J3dE7aTGWto/ptSBcNwj/fOUApVcP4M5MBytUlVD/tsADuGcfZlv7yhoqkUguiXB9nFEH52yV2nA18PIN13BnL67YCQQFXHZFMbstrHU2ZreF2W2hhuTDHIlkOZFicBUgajUUy8LRz+tpIwT1bUH46Mjkn1xSDDr14GZJU6MI4TM0+p/P292jUj3J4Oi/pzP9CzQl3tVYHoSIqopNLLx3CV/V2qTm+1Q8n0fnchwrVThaDj6DR2dzbyoGK57Pk5k89ySivFIo8+djUwC0mwa/0dNBp2Xw+HeyfOmLMwB87JMtPPyIDAtd68zUZ3mhuJ8us5O9kd2X3c4XPhP1KTqMtkWfedWvYavX5xWu+BVeLL5Mxa+yJ7wTR9R5tvAcPyy8wJyXWbRtj9nNPdG7uDt2J+3G1fWvWg68cpnyawcpvfIy5ddfmy+mpYbCRO+6l8ie2wnv2oMWia6wpRKJBBa8fLUzVZzhKu5sHcVW5yt4XlB4eF7wWess9HSQvxeIPvuq2zRIJJKlRYrBVYBfq6HaNjVtcYNTJRL8UGpa5JL7OQ1PoK43USy/huvNza/zvALT2W8BMJ35GqpqUyi9SkvyA9TdKRLRe1Gv8yb0ZmXaqfNbp85S8BY+hw22Sdnz2Z8vUfY8wpcIP8vWXf7T0CijtTqfn5iZX747GuZfrmvD8BT+4rNTPPeDAvGExq98up3+bauvF9taxBUu0/UZOszl8xYJIThaHeC72cd5qXRw3uP2a22/zLZQP0/kn+ZU9TSfTH+MkBri6fwP+F7+KSbqkxiKzs+nfxZTMfh+/mkOV47ykdSH+CfNH7nqcx+pHOPJwjO8VDxATTgA/K/ztgmrIR6KP8DbY/fRb/fhChdTXT2tE7xigdLBlym+vJ/ykdfBDcLE9HQrsfsfJLJ3XxD+KXv9SSQrhhACd6pO7UyF2unzxN8l+vIBKJaK1RvC6rEx19mYPYG3TzZEl0hWP/JbusyISyzza1X0ZJK6tnitCAUehHPFYRatE4KqM9KYdqg6w4vWu16emhNU/DONTkYm/xgApdEPLBa54y29jpuNGafOfzo9ukgI7o2F+dXuNh6bzfHlqTle+P/Zu/PwuMrz4P/fs8y+aZe8L9iMzQ4Gg1kMmM1gCCRQCJAQICQhZKFpmrRN3/bt26bNLwk0IWlJk5QQaAIhBEIoBBuDMZjFYGwWY8zYxniVJWudfc76/P44I1mybCNLsmVJz+e6fFmac2bOI2mWc5/7ee47nWN6KMjKTI6raisJqiq7DJPvbWlkt7Vn3UOlrnHHxHqOjYTIdDrc9cNGPtpsMP2oAF/9q3FUVY+dl13RLRI6BE3IbWGzPPMyT3T8L612G1+svYUFiXOH/Dg9Ga7BK9mVLE4vZVv5tVejV1OpV7KxtIl7m3+JQHSvx/toxxbybh5L2Ojlt1pL2PzX7vu6HzOkBHm840l0RUdTNOZF5+6zeme73cGLmZdZnl1Bs+Vlnet9dZwSPonNxkfsNBuZFTqas2Nnckr4xF7Bn185dIGgk8uSW72K/Fur0cJh0DQUTaPmhs/16t1nd3aSX/MGuTffoPjB++B6vyP/5KlE55xGZM5c/BMmyky5JA0DYQvMnSWMLV3/iphbSrjF3heotQqd8IlR/JODXuXOyUG0hI4wXPSawffmkyRpeIyds9IjlBCie5qorXrzK/5m+QzgPfB7waGm9s0M2k4Hrus1q3ecPCVja6/tpt2CaTV7X/dYS5jOrQQ0YuH9T2kba9otm++WA7pF1RXMjgQ5JRZBLZ+YnlMR4/e723mytZO0bVN0BSFV5dhIiO9vbSTruFxdW8nVdVWsyRY4JhIkrGls32bwo+/vor3N5uxzY9z0+Vr8/rGxPrDFauXhtj/wam4lN1ZfxxWVlw7J43pB4Aqe6HiKVrsNn+IjqAS5v/U3zAhOZ3Jg0pAcp6cOu5PF6ed4Lv0CeTePisq86FwWJi7i6OAMFEXhnfxa7mq6h3G+8VycuIAd5k4Wp5cyztfAhYnzOTd2Frqi81b+XZ7uXMys0NEsiJ+Lqmj8445/4fftjwPwfHo5/zzx76nQK7CFzVv5d1iWeYm3C+8iEPgVP/NjZ3F+fD6zgkcPS/DkFov4PlhH4/JnKaxb2x3Y9VRYt5a6W7+EuW0LudVvUNq4obsATGD6DKKnnk701NPw1cn1f5I0WEII7DbLy+BtKaL6VcInRglM7Xshzi06GNtK3fuaW0sY243e/fkU8I3zEz45RGBKkMDUIP6pIfSEPGWUpNFIvrKHiVLOEQrLAiFQ/UEKWieKEMSzbZiXg+r3yqer+8gMlsw9fb4cN0fR+BBNjVBX9Rfsav012fybdOUhLXvP1EUhTCKhY/c79XSs6bRsvvvRTppMi6tqK7murqrPCXaN38dxkRBr80W6Jok+3NwGgALcNr6WC6sSAJwa936v776d5957migVBdd8uopFV1aO2qyHIxyWppfxp46n8Sk+dtst3dsUFB5pe4yTwicwKTBhwMfYYmzl922Ps6bwDgA+xceliYv5ROVlfFjazF1NP+HHTffyb5P+acBr8Pa23djJ052LWZF9FQeHmBrjk5VXcFFiQZ/WCydGjue+affiU3woioIQgoUVF1Gv1/b6u8+LzWVebG6v+35n/F/z585nUVFZnl3B9xrv5oTwcbyUfYW0kwG8oi/nx+dzZvR0wlrf94NDTVgW+bXvkFv5Mvm3VhO2LApAYOp0onPnEZwxk+IH6wklZ5F+bgm5VStp/P6/eHdWFIJHzyJ66lwip5yGr3r/bW8kabQTQoAARfXeJ6xmE3ObQWBqEL3Gh9VsYnxURIvphI6L9PncEEJgt1gYW4oYm0sYHxUpbS7iZnsv1mt7uJnwKTHi8yswm0zMLUWMLSWsZrPXFCXFpxCY7AV8XUFfYHIQNTg2LlxKkiSDwcNOYa839nKPQSUYIK+aBEtQvMLL5Dl4J9VC9C29bJSnqZUfBdNqJhI6Dl3zgpJM7s39jiEWOWUwP8KokXcc/m1LI42mxRU1FfsMBLtcVVtJh+1wY0M1b2TyvNDhnaR/c3IDp8Z7F7dYtjTNb+5vQdUU7riznrnzYof8ZxkuHxQ38KuW/2Gb2bsJeZVWyaerryGshblr1z381+77+OeJf4+m9L9ggCUsnksv5+G2RzHLa+M0NC5JXMgVlZd2t0I4NXoKlyYu5pn0s/yq5UHuqP/CgH8eIQTriut5qnMxbxfeBWCcr4FFFQuZHzvzgGvvem5TFKXfhVqmBqZwR/0XEEKgKxrPZZaz1dxOVI2wMHER58fnM+UQZDw/jnBdiqn15Fa+Qu7N13Hz3kwEX8M4slOmc/Qnr8HfMK57/9DRswAIzkziGzcec/tWwiecTOSUUz+2TY4kjVZOwcH4sEhpUwFjU5HSh0XcvENgeghzRwk3X86sK6AG1V5TMwPTQwRnhChtLmK3W/hq/ZiNRp/AT6/zETom4q3ZmxLEzTukl7ZTWJOlsCbbvZ8aUb39pgbxTwkSmBbCPz6Aoo3OC5WSJPWPDAaHmWt4waAaCFJQDUJFAXvN7BDC6HO/kuGdfIcC0ykam8tfT0PT4gA4bhYvb9V3lWIsLBvNm67LD7fuYpthcnFVghvqqw+YuTs2GuaumZMBOCka5pKqBH5VYXxgTwAghOCxR9p56okOYnGNO/+6gRlHj85CMR12J79te4SXs68BcF7sHI4JzcLFpVavYUZwOoFyhu7s6Dxezr3G051L+ETlZR/72K5weTn7Gr9vf5xW28vAHhWYziWJCzg5ciIxrW9lyRtrriVV2shL2Vc4NjSbc+N9q+/uS8Ep8HxmOStzb1KhJ2iz29lSnnI9K3g0l1deyinhE1GVQ3+VXFEUbq29ifH+cVRoFZwaOfmQF35xDYP8mlVkXn4Ru6Mdf/04XNPAV99A/q3VOB1eUSqtopKKhecRPeNsAlOmsmbNml6BYK+fQ1Wp/tS1h3TcknQkEo7A3FaitMkL/kqbiliNRq+PYa1KR6vUKaUK+Br8hE8M4Z8QIL8mi1t0CM8JEZgWwthYIPd6BmNzETRQ/Kp3n3o/4WPLgd/0EIFpQbRo31O56FkJiu/nKW0s4p8Q6M48jtYZKpIkDZwMBoeZa3iBnhIIUFBNakv72MftGwwa5g4UNELBGd3BYDAwDb0cDAIE/ZOojC+gtfMpJjXcyeYd/0DAN57AYay8eCRyhOCn25v5oFDijHiUm8fVHNQHpKIoTA31norouoIH72th+fMZ6ht8fPPvxlNXv49m2COcIxyWpJ/j0bY/UhQlpgWmcGvtZ5kZnLHf+3yu9kbWFtfxaPvjzImcxAT/+H3uJ4RgTeFtHm77AzvMnejoLKq4hCsrLyeuHTi7qis6dzZ8mb/d/n/5VcuDzAhO3+9xAHJOjmc6l7I4vZS8W/BuNLzM/RnR01hUsZCZwaM+/hcyxFRF5bKKSw7pMYQQlD7cSHbFcnJvvNbdzgHAatwJQHHdWtRwhPj8BUTnnUUoORtFldPGJKlL9zq9TUVKG73Az/ioiDD3RH5KQCU0O0JgRojgjDDBGSH0Kp9XK8AUqIE9r6mqq/vOJDCbDNy8g39SEEVXEKaLGuzf7ApFUQgfGyV8rGzLIknSgclg8DDbO08nyplBEfBjKjYBo28mz90rMyiEwDB34PeP754WChAKTEXrkTUJh2ZRXbGQ6oqFCCGoqbiCcGjW0P0wI5AQgvsaW1iVzXNsJMRXJtZ3F4oZKMsS/OI/m1m1MsfkqX6++bfjSVSMvpfWR6Ut/LzlfrYYW4moET5fcxMXxM/72KxZTIvy+dqb+Pem/+C/dv+K/zfhO33us8XYyv+0/o51xfUoKJwXO4drqq46qKbo9b46vlR3Kz9u+k9+3HQv/zrxH/tk1jJOlqc7l/Bs53MURYmYGuPKyssxXRNd0bggcf4R1YdvoOx0J9mXXyT/1pskLrqU2OlnYne0k31lBZmXX8RqagRAq6yi8oJLiJ01H3PHdrREAmPrFvSqaiInnITiG30XNCTpYAkhsHZ5a/msFgujnPVzOnss4VDAPylAcEa4O/jzTwzss8KmoigogY//3PE39L7oqPQzEJQkSToYo++MdYTpygyaYe9NPtA3CdgnM2jZrbiiRNA/qbvSqKoE8fu6Mn7e9NBwcE/gpygKDTU3Dvn4R5rHWzpY1pFhWjDANyePwzfIUtilkstP797FurVFkrOD3PmtcYTDo+sD23ANHm3/I3/ufBYXl3NjZ3NjzXUfm63raW70VM6IzmVl7g2eSS9lUTn71WF38kjbY7yYfRmB4OTwCdxYcx0T/QMrNnNG9DQuTizg2fQyft36Gz5ReTkaKj7Fx1Odz7A0/QKGMEhoca6puIoLEucPWcGZ4SZcl8J775B58QXyb68Gx1tXVPpwE+llSylt+ACEQNF9RM84k/jZ5xI65vjujJ9/nJdJ7Vr7J0ljlVtyKX1YoLShQGmjl/nbe52eVqUTmRsnWA78AtOD/c7aSZIkHUlkMDjMujKDRrlyV8Dsu48res8d7SoeE/BP7M4EBgNTu3sIamoUx80SGeNZwL29ls7y6O52an06fzN1HGFtcNPeigWXu7/XyKaNJU6aE+aOOxtGTeuIvOP1x9tu7uCXu3/NbruFOr2WL9TdzPHhYwf0mLfWfoZ1hfU80vYYx4WOYXX+Lf7U8TSGMJjkn8hnaj7NieHjBj32z1R/mg2lD1mWeYkXMiu6m8KDV9jm+sprWBA/94hqxD5QwnUpvLOG9PJlFN5Z0327f9Jk4ucuwD9+Ak0//RGl1HoC02cQP+c8onPnoUVkNWFJAhCWS2lzkVKqQDFVwNxebqzeo2OKXucjfEKUwPQQvlofwRlh9CqZNZckaXSQweAw684MdgeDfaeJCmEhhNsd7BnlvoEB/3hUJQh4U0S7hIJH4Tg5fHrVoRz6iLKpUOLeHbsJqQrfnjKOCn1wT/1CweHu7zXy4UaDeWdH+fzt9ej6yF2Yv8PcyS9234+u6MyPncX/tD7cvZZOReWKiku5puqq7qIwAxHX4txS+xl+0vwz/mb7PwCQ0OLcVHU958XPOahKowfiV/18o+Er/OOO73a3ZqjRq7mychHnxc/Bp4z8kzgnkyH90jIyLzyH3VZuHaOqxM85j/i5FxCYNr17Heyk7/4AYVn7LfgiSWOJk7O7A79SqoCxuYiw9nzuqhHVW993dJjg0SGCM8PolSP/PUOSJGl/ZDB42PUOGLqCwVJ5/UBgr/7NihJACANXGGiKV5nStJoA8PsaCPgnUF2xiOrEnqITU8Z9m16XNce4VtPih9t2YQvBX00ex6Tg4KYFFgoOd/1bI5s3GZx5TozbvlyHOsjppsPFFS6L00t5uO1RrHILk/eLH3RvnxqYwpdqb2FacOqQHG9edC5rCm/zem4Vl1Us5MrKRYTVoa+4Wu+r42dTf4yqqDRZu6nRq9CVkf12J4TA+HAT6eeXkF21EmwbJRAgft6FJM6/EP+kyfss8iL7+kljTVf/vtL6AsX1eXCFV41zQwFzR49lFwoEpgQJzgoTPDpCKBlGr5aBnyRJY8vIPjsaBYTpzQs1fN6VSb/bOzPo99VimDtwXQOtfNJsmLvK2xpQFR/jaj7b6z5eBnF0TFccLMN1uWvbLtK2w00NNZwcG9z0uNEQCLrC5bnMcnJOjnXF9awrrieuxfh89bX8seN/qdfruK3uc5jCZJyvYcgyduCtXb2j7gt8sfaWQz5Ns6tIzUgvCOMaBrmVr5Be9izG1i0A+BrGk7jgImJnnYsWPvxN6CXpSCJcgbnToLQ+T3F9geIHeZyOvv15lYBK6LgIwWSYUDJCcGYINSTX+UmSNLbJYHDYeEGfsCwADJ+XyQvuFVf49XovGOyxbtC0mtC1SjQ1eHiGOkIJIfjlzha2lEwWVMa5tDrx8Xc6gGLB5a5/bWTzhwZnzY/x+duPzEDQdE22aNs4WZyMqqi4wqXd7qDGV0273cF/Nv+CdcX13fvPiZzMF2tvIaHHOTd29iHvQ6UqKn5l5K/XO5Ss3c10PreY/JuvY7d7vf5QFCJzTiNxwcWEZh8n+4VJo4ZwBeYOg+L6PL46/77a4/biZGyKH+QpflDAajIpbSjg5vYUeNEqdKLzEoRmhwnOiiAMF1SFwNSgbLAuSZK0FxkMDjNhe8FgSfM+yPx7fQr6yqX1RbmiqCssLLuVcDB5GEc5Mi1tz/ByOstRoQC3jKsd1Mmzabrcc9cuNn/oZQSP1ECwydrNj3f9B1ui26BD5cL4+fxH889ZW1zHJYkLeDX7Olk3R1yL4Vf8XFN1Va8AUAYYw0cIQWnDB3Qu+TP5t94E4b0XqJEIiQUXEz/vAjnlUxqxhBDYrRZ6pQ9hu5Q2FTG3G5RSeQrr8r2qdYan+TAnGvhq/Rhbili7TFCgtLFA8f085rbeFbb1Wh+RU2KEZkcIzg7jq/fL9zJJkqR+ksHgMOvKDD6hvwbA3sUouwrEdLWXMK3dgOjRRkLqyRWCV9M5QqrKA00txDSVb0xqGFQLCdsW/OyeZj54v8icuZEjNhBck3+b/2j+OQW3iCY0nuz4M8+lX6DD6QRgSfp5fIrOLTWf4eLEBfJk6QghHIfcqpV0PvMUxtaPAAhMm05s3tlETjoFX518rUsjk91mUXgvR2FtjuJ7eZxOGyWgIGwBPTo1aFU6sXMqCM4Kk1uZhrV5tn9rE4qu4BZ7r39X/Aqh4yKEjokQmhXB1+CXlT0lSZIGQQaDw6TrNFxYJoYfOpUcAIG9li+o5eqNXY3nu4rHBPyyMmBPz7alKbgOWdvl6TYv+FGAr09qoMY/8BMF1xX86ue7eWt1nmOOC3H71xrQjrBpRq5weaLjKR5t/yO6ovPlutvYtPVDloZewHIsbqy+lpAaYmVuFTfVXM/kwKThHrKEtxYws+IFOhc/jd3a4k0DPXUuFZcsIjjjaBmsSyOOU3AovZ/3AsB381iNezJ4WkInODOEsd0gMDVIcEYI/6QgoWO9gK7r+R5fUMnah94m8Ya3vjs6L4Ia0VBDKqFjIgSPCqH45Jp4SZKkoSKDwWEmLAurR6zi13pPE+2TGTT3VBKVPGtzBX61q6XP7dfWVXF8dODFNYQQPPxgK6+uyDJ9RoCv//U4fL4j6wS96Ba5t/m/WZVfTY1ezTcbvsa04FTCZoBxk8YxM3gUM4NHAXBh4vxhHq0E4GQzpJ9/ls7nluDmsig+H4kLLqbikkX46uqHe3iSdEB2p03h3SwICB8Xpfh+nsK7OYof5L3+fOWPMCWgEj45Svi4KKHjo/gnBfp1gUNRFKxZLlNuPPoQ/ySSJEkSyGBw2AnLwuwRYATKgWFYnUVN3eXYTgewp/G82dVjUAaDAORsh5/taO7+XgUuqU4QVFWurK0c1GM/87+dLF2cZuIkP3/1t+MJBo+cq9FCCNYW1/FAy0PstBo5NjSbOxu+TFyLA15vwMsqLh7mUUo9WS276VzyZzIvvYAwDdRIhMpPfIqKCxeixePDPTxpjBOOoLSxQOHtHPm3s9jNJrFzKggdF0WNqF7A904OY0tp3w+gKwRnhAgdHyV8fJTgzBCKfuS8Z0qSJEn7JoPBYeZaFmaPwor+couJCVVfIBCdQEfmJW+/cmbQsJrL+8kMghCC/25sod12WFiVYE02z2U1FSysrhj0Y7+xMsfvH2qjskrjm383nmh0+MqPm67JY+1/ot5fx4L4uRiuwb3Nv+T1/JsAXJa4hBtrrh3SFhDS0BC2TeblF+l46glvKiigV9dQccl1xOcvQA3KisDS8LE7LQpv5yi8naWwNoebL6/P0xXUkEr62XbSz7bvuYOuEDo+QviEGHabhdVkEDrW+94/uX+ZP0mSJOnIIoPBYSK6W0uYvaeJlvuh+yK1AKjl9hFdawYtuxVNjXXfPpa9ls6xMpMjGQ5y07gabh5fOySPu2lDkV/8ZzPBoMI3/mY8lVXD8zLJO3nuafoZ7xbfA0BDY4JvPA+0PsRmwys08tX6L3F2bN6wjE/aP2FZZFYsp+PpP2G3tQLgnziJyss+QXTuPBRdvvVKh58QAmNLicLqLPk1GYzNe7J8eo2P6JkVRE6KEjo2Ai5kXurE2FJEDaqET/SqdapH0AwJSZIkafDkGclhJuh95XTvaaK6HzBA9XnpQlUpF5BxDYQQWHYrAb8sAJK2be7f1UJAUfjyhHrUIboivbvJ4p4f7sJ1BHd8cxyTpwSG5HEPVpvdzvca72aHuROAyf5JbDO38393/isA58bO5gt1N6Mr8iV8JBGWRealF7wgsL3NWw940aVUXnYFemXVcA9PGoNc06X4Xp78mgz5NVmc9nIzdg0vq3dyjMjJUXzj+2b2KhZWD8OIJUmSpMNJnkkOM2FZWD3+CkoQRI8WSnuqiZZwnDRCWPh12Wvs/sZWso7LTQ01NASGpqx4Pu/w7z9oJJt1ufm2Wk44KTIkj9tTqriRD42PuCRxAUW3SFSL9tlnu7GT7+26m3a7nYsTCzgrOo8Zwel8Z/s/sdXczvXV1/CJikVyStYRxDVNMi8to+PpJ3E62lH8fiouWUTFpZejVwxu7aok7Y8QAnO7gRbT0Cv3vA/anRb5NVkKq7MU3sshjHLPyqhG7OwE4TlxwidG0cJyarkkSdJYJ4PBYbKntYSF5d9zUq/Eg+hiT4DQFQwK18C0velmvjEeDL5Rnh56dDjIwurEkDym6wp+/tNmmhotLr2igvMuHPzjCiFotlto8NUB8Hb+Xe5u+gmWsHmqczFFt8gPJ32XGt+eq++bSpv5XuPd5N08N1Zfy+UVl3YHfX8/4Vt02mnZGuIIImybzIvLaP/fP+J0dqD4A1QsvNwLAhODX7sqSXuz2y3yb2bIrcpQfC/fXb0zsbAKLaaTX5PF+LDYvb9vfIDInBiRU2IEjw6jHGGtcSRJkqThJYPBYSYsCzvm/RkuS1yMm36KYHDPdLLuaaLCwOoKBn1jNxjM2g737WrBpyjcPqFuyKaHPv77dt59u8DxJ4b5i+sHPjWq2dpNjV6Nisp9LQ/wXGY5t9XeTI1exd1NPwEUFBTaba8ow5OdT3Nr7U0ArCus54e77sEQBl+uu41z42f3euy4Fu+uFioNL+G65Fa+QtsfH8Vu2e0FgZde4QWB8aG5QCFJXcwmg/zrGXJvZHoFenqtD/+EAKWNRdKLy4VeytM/I6fECM+J4W8YnqnukiRJ0sggg8FhJiwTK6ABLjMCkwEXVd3TG6+7gIxrYFleNUK/PjSFUkaih5rbSNsON9RXMz7g//g79MOq13M89UQHdfU+bv9aPao6sADzufRy/rvl11wYPw+/EuC5zHIAHm1/nIJbABS+Ne5Odpg7sYTF8+kXeSHzEldVXsFWYxv/3vQfuMLlLxvu4PToaUPys0lDSwhB4e01tD32COaObaBpJC5aSOXlV8lMoDSkzJ0lcq9nyL2ewdxaLvSilgO90+JETo3hq/HeA4Xlkn05jRJQCJ8YQ4vI6Z+SJElS/8hgcJgJy8IKqoCLXp7vo6mh7u09C8iYYzwzmCoUeaEjw+Sgn0U1Q3PivWO7wX/f20wgoPD1v24gMsAWEq/nVnFfywMA3UHgRP94Jvsn8WrudXyKj2+Nu5MTwsdxQvg4AKJqlF+2/JqfNP2MjaUP0RSNb427k5MiJwzJzyYNrWJqPW2PPkxp0wZQFGJnzafqqmvw1dYN99CkUUAIgbnNIPdGmvzrGcwd5cXjmkL45CjR0xNE5sTQYn0/thWfSvx8uTZVkiRJOngyGBxmrmVh+TXAxlcOBntnBvcUkLGsrngjEtwAACAASURBVDWDYy8z6AjBfY1eZvTz42vRhmB6aLHg8tO7mzAMwVe+0cDESQObTvVe4X1+2vRzAkqAc2JnsjSzjHpfHd8Z/y0AXAQXxs/juPAxve53bvxsHu94kg9KGwgpQb49/hvMDiUH/XNJQ8vYvo22Rx+i8O7bAETmnEb1p67DP2HiMI9MGumEEBgflci97gWAVpMJgOJTiJwWIzo3QfgUmemTJEmSDh0ZDB52fVtL2AHvz6ALr+Gv1iMYVBQdRfHhuiUckUVVgmjq0Fe5PNItaUuzrWRyXkWMZDj08Xf4GEII7v/FbpqbLC77RAWnnd63qmd/bDG2cteunwDw1+O+zjGhWcwITuf48LFU6d6V+r9suGOf99UVnZtrbuSJjqe4tfYmjgpOG9gPIx0SdrqT9j8+SubFZSAEodnHUn3NpwkeNXO4hyaNYG7JIb86S+61NIV3cgjLuwioBBSiZ8SJzE0QOTmKGpIBoCRJknToyWBwmAnLxPJ7JcF1bBx6ZwYBVCWI6xaxnE58vpox11Lgz62dPNjUSkRTuaFhaKbILn8+wxsrc8xMBrn6uoEVjGmz2/l+448whMGdDXd0Z/72LvxyIKdF53BadM6Aji8NDWPrFvTKKrS4V5zHNU06n/0zHU89gSiV8I2fQM2nP0P4+JPG3GtPGhqu6VJ4O0fu1U7ya7IIszwLJKYRmetNAQ2fGEUNyIbukiRJ0uElg8HhongnA8K2scpN53Xh4NB7zSCAqoawnA5ct4hPP/pwj3RYtZgWDzZ502Ovq6smrg/+avn2rQa/faCVSFTl9q/Vow2g1HrRLfKDxh/R4XTymerrOEMWfBlxrNYWWn/3P+TffAO9to6Jf//PFD9YR9ujD2O3taLGYtRcewPxcy9A0WSWRvp4ruGSX50l+0onxkdFQrMioEJ+dRZR9GZ++Br8RM9KEJuXwD8xOMwjliRJksa6fgWDyWRSB74OXANMBPb+BBOpVKp+iMc2KomeXzsOOE53MKgJC+ibGdTUIJa9GwCfXsVY8nBzGwCTg34urBp8W4VSyeU/72nCtgRf+csGqmsOvmG9IxzuafoZW83tXBRfwKKKhYMel3T4uKZJ55+fpOPpPyEsC72mFrtlN1u/fSfCNEDXqbjsCiov/yRaOPzxDyiNacIRFN/LkX0lTe6NDKLkdm/LvZoGQK/xEb2witiZCfxTgzLDLEmSJB0x+psZvAv4GvAs8BpgHrIRjSHC9oI/qxyP6K73vbb3NNEemUJdGzsV4zYWSryazjE9FOC70ycOSU/B3/66haZGi0sWVXDynINfeymE4Nctv+XtwrucFD6Bm2tvlCd2I0j+rTdp+e0D2K0taBWV1Fx7A9EzzmL3/b8gu2I50blnUP0XN8gKodLHMrYWySzvJPdqGidtA17fv9jCamJnJ9BrfOTeyOBrCBCcGZLvE5IkSdIRqb/B4HXA/0mlUt87lIMZSxQhEJYX/JnlYFATXoyt9pkmuicR69PHRjAohODBXd700M821AxJILjmzRwrlmeZMjUw4MbyS9LPsTSzjCn+SdzZ8GU0RU4fHAmstlZaf/Nr8m+9CZpGxWVXUHXFp1BD3mut7tYvUX3Np2WvQOmA7LRN7uVOMi91dvf+U2Ma8YuqiJ2dIHh0uFfQF58/Nt6vJUmSpJGrv8FgAHjjUA5k7NhzotAVDFq6QEVFcYvAPjKDyp5gUB8jweDKTI6NxRJz4xFmRwZfPTSTtrn/Fy3oPoUvfrUeXT/44HJdYT0Ptj5MQovzrXF/SUgd/LikQ0vYNp1LF9P+xKMIwyCYnE3d527DP35Cr/0URZGBoLRPwnLJr8mSeamTwltZcAENIqfFiM2vJHJyFEWXhV8kSZKkkam/weDDwOXA84dwLGOOsLxMoKUJAoofV5SvNGt9C8h08Wmjf82gLQS/a25HU+CG+oFl8HoSQnD/L1vIZhyu/2wNEyb6D/oxWq02ftx0LwoK32j4KjW+wY9LOrRKmzay+4FfYm7fhhqLUfvZW4mdNV9O15M+lhACY3OR7IudZF9N4+YcAALTgsTmVxI7K4EWl/XXJEmSpJGvv59mLwA/SCaTVXjrBjv23iGVSv15KAc2FgjLW2diagK/6sd1C0DfzKCmjq3M4IsdGZpNi4urEjQEDj5w29srL2V56808s44JcdGliYO+v+ma3N30E7Julltrb2JWaGxVdD3SCSFACOyOdtoe+Q2Fde8hDKN7TW58/vlUX3sDWjQ2zCOVjnROxibzUifZ5R2YOwwAtIROxaJqYudWEpgsq39KkiRJo0t/g8Hfl/+fCnx2H9sFIBdPHQzFm8IGYGkuASWAK7yTD1UJ9Np1T2ZQRdcGX1HzSGa6Lo/t7sCnKFxVO/jAt63V4re/biUYUrjty3Wo6sFlhYQQ/KLlfj4ytrIgPp+L4ucPekzS4LilElbzLtB1Wu7/BaVNG70NigJiT71e//iJ1H7u84SSs4dppNJIIFxBcV2ezPPt5FZlwRGgew3gY+dWEj4hijKA9jOSJEmSNBL0NxiUZ1OHgHC8qUem6hJRfbiuASgoSu9sWFcBGV2rQFFG99qU5zsytNs2i6orqPINbhqWEIIH7muhWHS59Ut11NQefBuJpZllvJx9jZmBo7il9rNyiuEwsVp2s/uB/6b43rsowRCiVOyzjxoOE5+/AGEa6NU1VFx8GYoup/JJ+2Z3WGSWd5B5oQN7t5dF9k8MEF9QSWx+BVpUPnckSZKk0a9fn3apVCp1qAcyFgmnnBlUXfzlNYOqEugTcHRlBkd7JdGS6/LE7g6CqsKVQ5AVfP21HO++VeDY40Occ96BpwiW3BIrsq+yMreKvx73dUJqiI9KW3iw5WFiaoxvjPsqPuXgg0lpcIQQZFcsp+WhBxAlb01tVyCoVVRS97nbCB1zHIV33yY4M4leIYvASPsnXEHh7RyZZe3k13jFYJSAQuy8CuILqmQLCEmSJGnM6felz2QyqQFXA+cAVUA78BLweCqVcg7N8Ea3rmmituqiKzquY6CqgT77dVUTHe3rBZe0pUk7Dp+qrSSuD27WcS7r8Ntft+L3K3zu83UHPMFrtzu4Y8s3ur9fkX2Vs2Nn8uPme7Gx+Ur9F6ga5b/7I5GdSdNy/y/Iv7UaNRSi9vO3IyyT4MxZ+OobUFS1O/MXPe30YR6tdCSz2y0yy8pZwDYvCxiYGiS+oJLo2RVoYbnKQZIkSRqb+hUMJpPJGmAJcDLQBDQD9cBXgDXJZPKSVCrVdshGOYqInt84Do4CriLwKd400Z49Bbt0FZDxaaM361FyXZ5q7SCiqiyqGfzP+bvftJLNOFx7QzV1DfvP6LnC5b+a7+v+XkXl2fQy3i+maLZ2c2XFIk6KnDDo8UgHp/DeOzT/4l6cTJrQ7GOpu+3L+KprhntY0ggihKD0QYH0kjZyqzLggBJSiV9Y6WUBp8vWMJIkSZLU38zgXcB44NxUKrWi68ZkMnkO8Eh5+y1DP7zRTdg2TvkvoCs6riihK9E++/n0WgAC/omHc3iH1bL2DFnH5eraSiLa4K7Sr1tb4OUXvebylyw6cGD5bHoZ7xbfY1pgCrfW3sSfO5fwWu4Ndpg7SQZncm31pwY1FungCNum7bFH6Hzmf0HTqP70Z6m4+FIUdXSvlZWGjltyyK5Ik362DXO7V5TLPzlA4uJqYmcnUIMyCyhJkiRJXfobDF4OfLNnIAiQSqVWJJPJ7+AFg9LBEALhONjl8xL/ATKDoeA0jpr0PQL+SYd5kIeH5Qqeau0goCosrB5cVtCyBA/e14KiwC1frEU7QBXAJrOZh9p+T1SN8O1x36BSr+CixAJey71BVI3wtfrb0RR54ni4mE27aP75TzE+2oyvvoH6L99JcOq04R6WNEKYOw3SS9vIvtiJW3RBg+i8BImLqwjOCsu1gJIkSZK0D/0NBsNAy3627S5vl/plzwmJcPZkBr2gw0FR+q4ZBAgFRu9J8YrODO22w6LqCmKDXCu45M+dNDdZXLgwwdTp++8J5gqX/9p9H6Ywub3uVip1LwidHUxyc82NzAgeJRvLDzHhuhhbNhOYOh23WEQNBLB2N9Px1BPotXV0LnkaUSoRO+c8am+8GTUoe7pJ+yYcQX5VhuL7eRSfQnF9HmOzV2BIq9SpuryG+IJK9EpZ9EmSJEmSDqS/weDbwFeTyeTiVCrldt2YTCYVvHWDbx2KwY16toNdzlzp5SBxX5nB0cwRgj+1dqIrDHqtYEe7zf8+3k4spvLJa6oOuO/i9HN8UNrA3Mgc5kX3FB9RFIWFFRcNahzSHkIIsq96Ewqyr71M8b13CSZnY2zehK9+HGbjDnC9txQ1FKLu9q8RO+Os4RyydARzCw6ZFzrofKYNu9XqtS04O0zFJdVETo2j6DILKEmSJEn90d9g8P8Ai4ENyWTyMbwiMvXAp4ApwCWHZnijm3Bs7K41g93B4L4zg6PV6+kczabFBZXxQfcVfOQ3rRiG4IbP1RCJ7jvDKIRgl9XE79r+QEyNcmvtTXL62CHiGiV2/+oX5F5/tfs2xR+glFoPgLljG4o/gDANr0jMLV/EV1c/XMOVjmBWi0l6cRvpZR2IooviV4hfWIUWUVH8KtHT4/gnjq0LaZIkSZI0FPrbZ3BZMpk8Dy8o/DIQBbLAy8BNqVRq5SEb4SilKOVgsByz+PAKZHS1kRgLhBA82dqJAlxRM7jWDan1RVa+mmPaUQHOOS++3/1+0/Y7nu5cAsDtdbdSoScGdVxp36zdzez66d2Y27cBoPh8VF7xSWJnzSfzwlJi886h8N47hE+ag7++YZhHKx0J3JKL1WISmLTnPbC0qUDn023kXk+D600BTVxZS+KCSrSYbAovSZIkSYPV70/TVCr1KnAZeD0HZW/BgeqxZtB29qwZLN82ljKDHxRKbCkZzI1HaAgMfG2P6wp+c7+3pPUzN9eiqvvO9H2/8Ue8VXgH8NYG9pweKg2dwrq1NN37Y9x8nviCi6i94XPd/QABqq+5HgD/hNFbHVfqv9LGAh1PtpBflQUgmAwTmBLE2FqilCoA4J8SpGJRNbEzEyi6rCwrSZIkSUNlQJdWZSA4RHpkBruKXo6lzOAzbZ0AXDbICqIrlmfZvs3k7HNjHDVz37+/dYX13YHghfHzuKHmOjk99BBIP/8sLb/9Nagqdbd8kfi5C4Z7SNIRSAhB4d0cnX9qpfh+HgDFp6DX+iilCt1BYPjkGBWLqgkdG5GvV0mSJEk6BPYbDCaTyd8Df5dKpT4sf30gIpVKXTe0Qxvtyq0lyoUOdOG1ox8rmcHdpsWqTJ7pwQDJ8MADYKPk8sdH2/D7Fa6+bt/VP21hc1/LAwDcVvs5LkycP+DjSfsmHIfWhx4k/fwStFichq9/k9DM5HAPSxpmwhXk38xiNRkkLq5C8avk38jQ8acWjI+86p/hE6NUXllLcHYYYQkyyzpwMjaxsxL4J4ydi2OSJEnSkccVNoa5nZKxBUUJEA2fgK717gkuhI1h7sS0WkApDNNIB+5AmcFJgL/89WRAHPrhjH49r20Le0+fQa3861X301pitFnc1okALq2pGNQV/yXPdNLZ4XDFJyuprNr30/mZzmdptJq4OLFABoJDwDVNzO1bCUyfgaIoOPk8TT+7h+J77+KfOIlxd34LX23dcA9TGkbF9XnSS9oobSp2V/3MLO8AAdYuExSInhGn4spagtNC3fdT/AoVC2VLF0mSJOnwEcLBsHZhWs2oShDD3EHR+IiSuQXD2I6g54RIlXAwSSQ0G8tuo2RsxTB3ILAB8Mf8OM6paNrI6bq332AwlUrN6/H1GYdnOGNLrz6DXcHgKGstYbuCNzI55iai6OWgr+C4vNCRoVLXmBePfswj7F8m4/DnJzuIxVQuu2LfBWja7Q4ea3+SmBrj2qpPDfhYksfu7GTXj3+AsWUzAMHkbJxMGmtXI+ETT6bh9q+hhkbOG6A0NJycgzBczCaDjsdbKK7zpn6iQujYCIB3m6YQX1BJxRU1+MeNjQtfkiRJ0vASQuC4OVTVC/RKxhaKxhYMczuOW8AwdyKE1ed+iuIjGJhKKDCNYGAqtpMlW1hDofQBhdL6HvtMIRiYgq5VsmtX44g7l+/XmsFkMnktsDSVSnXsY1sFcHEqlfq4qaQ973MH8C1gHLAO+MtUKrXiAPv78SqZfhYYDzQDd6VSqZ/095hHpJ5rBkW519oomyb6P02tLGlP82nL4qpar/ffS50Ziq7gEzUJ9P0Ue+mPJx9vp1QUXH1zNaHwvotK/Lb1EUqixE011xPVBh54SmA2N9F4179ht+zuvq2rTUTiksuoue4zKKos7jGWOBmbjqdbSS9uRxjdLWgJnxglfFKMyJwYvjpvgklpcxG9Qkevko3gJUmSpEPHstspGpspljZ7/xubcZzMPvdV0AkEJhL0T8Hvq8N1SwT8kwgFphHwj0dRercqq6v6JLadpmh8iM9XT8DX0GufHVtWoygj61yovwVkHgbmAW/sY9tR5e39CgaTyeR1wD3AHXitKe4Ankkmk8ekUqlt+7nb74CJwBeBjXg9DkP72XfEELbdvWZQoxwMjqJpokIInm1PA/C75nauLLePWNqeRlfggqqBt3VobjJ5YWmaunof51+478dZX0zxSm4lRwWmcV78nAEfS4LSls3suvv/w8lmqLzyamLzzqK0IUX+rTeJnHIa8XPOG+4hSoeR2qzQ+P2tFN7yKoAqAQXFpxA6LkLVp+oIzuybHQ5OH/Fv2ZIkSdIQcpwCttOJ39fQK4ASwsW0dmGYuxC4GOY2SuYO/L56IqFjcJwMjltEQaFk7kBV/KhqsDsAtJ3euSufXksofGKPQG8qwcBUgv7JKIp+0MGbrieI6acMye/gSNDfYPBA6ZsKIHcQx/wr4NepVOqX5e+/lkwmF+L1L/y7vXdOJpMXAxcAR6VSqdbyzVsO4nhHFNGztYTTc82gNx95pKWWD2RDodRroel2wyTvuOw0LM5MRInr+24M3x9P/KEdx4FrPl2Frvd9eu40G/l/O78HwC21n0UdYVdpjiSFdWvZ9dO7EYZB7U2fJ7HgIgD8DeOJz5drMEc7IQSF1VnaHmnGajLxTwoS2+ynQBY1olJ1dR3xC6tQ/fI1JkmSJPUmhE3J2EahtAHDasJxsjhuAdNqxLSaAdC1CmKRU1DVEMXSZkrGFlxR3OfjtXb86YDH07UqYpFTCQWOIhSYTig4DV3bf/9p6cDVRC8CLupx09eSyeSuvXYLApcA7/TnYOXpnnOAu/ba9Cxw5n7udhWwCvirZDJ5E1AEngG+k0qlDiYIPeIIp0efQVEOBkdRa4nlnV7W4KxElFfSOd7LFdlc9CoIXlA58Bdm406Tla/kmDTZz6mn95366QqXb277DgCnhE9kRnD6gI81VhXWrSWz4gUCU4+i7dGHQFFouOMviZ4mezOOJcX1edoeaqK0cc+HsrG5iD3OZfKt0wkdJ1s+SJIkSXvYTo5iaQOF7n8fIoTRZz9NjREJHY+uxcgV1tKRWVbeohDwTyAUmIbfNx5FUQn6JxPwT6BkbqdQ2oBPq+peVhXwT8J1C7jCJBSYjk/fdw0Jaf8OlBk8AW+NHniVRC8F9l5daQLrgW/383g1eP3Vm/e6vRm4cD/3mQ6cDRjA1XiZyJ/irR285uMOuHr16n4O7fBw3a6KRILWpibs8gzHXLoDfLB+/UaE2z5s4xsqFvCKP04MwbG7G3klEOe5xiaaFY0q4VJMrWegf5klT4UQws/xJ3fw1lstfba/70tBeZba2btOZ/WuI+s5cLgM9Lmvb0oReeZJAHIrX0X4/eQv/xQpVYcj7PUkHRpqs0JwhYbvIy97b810KJ3joJiAAc4UwXozBWuGd5zS6HWkfXZLo4t8fg0VE0VrRlE7UPVGFG0nqrbnHFYIEG4Nwk7iOhMQbjXCDQN+EEEK3bPl5qFoTYCLcOow8NN7hZ8LbC9/ffReY+js8fXmIf3pBmqkPb8OVE30buBugHJG8LJUKvXW4RpYDypeMHpDKpVKl8fzVWBJMpmsT6VSeweWvcyZM+cwDLH/lr3zrPeFolBdWYldnllVFY9CEY477iT8vpFfln9lOoe5vYmFNZUsaDiaJzdspdH0ti0aV8epNQPrQbdzh8nGD7YxZWqAv/j0UX2yEjknx8+2/grd1fn3Kd+jzlc72B9lRFq9evVBP/dd06Tpp3dTWPsOSjCIFomCqjLua98kMHnKIRqpdCSxdpu0/a6Z3KveWt/QsRGqr68nOKP3GsCBPL8kqb/k80s6lOTz6+B0rd8rlDZSNLagawksezeF0iYMcwc9O8+pSpBQ8HjCwaPL/2agaZHhG/wwOFKfXwcKUPu1ZjCVSo0borG0Ag5eAZie6oGm/dxnF7CzKxAsW1/+fzJ9s4wjhnBsHJ8XzKhdawYV/4HuMmK8XJ4ienZFDIDjoiGa2i18isL8ioFPEf3TY+0IAVddU9UnEHSFy20ffRWAKyouHbOB4MFyMhka7/khxocbu2+b8O1/IDj9KIQQchrgGODkHDqeaKFzcRvYgsD0INXXNxA+XlbglSRJGksct0SxtKk8xXMjxdIGHDffZz9FCRAOziIcPAq/bxyh4AyC/kkjrpKm1P/WErcDE1Kp1D/sY9u/ANt6FITZr1QqZSaTydV4axEf7bHpIuCx/dztFeAvkslktMcawa4c8db+jP9IpIiuaqLe97rrVRNVRkEwmLMd3srlmRzwMznozek+LhLmufYMp8cjxAZYOGbndoNVK3NMnR7gpDl9qxW+lH2l++urKi8f2ODHGDuTpvEH38Xc4U2/iJx8Kg133Ini88r/y0BwdBO2S3ppB+2P7cbNOeg1Pqqvryc6L4EyiLYvkiRJ0pHLstsolDZimDux7Q4sJ43rljCtJiy7lZ7ZPp9eRzRyMuHg0YQC07DtNH5fLQH/xD5tF6SRqb/VRL8G7K+n31bgTuBjg8Gyfwf+J5lMvoEX6N2Ot/7vvwCSyeSDAKlU6qby/g8B/wDcn0wm/wlvzeA9wB9SqdRuRhghepxg9agmqmIDoKgjPxhcmcnhCDirnBUEOC0e4bMN1ZyZiB3gngf2p8c7vKzg1X2zgqZr8of2J/ApOj+a/H0iY2xawkA4mQyN3/8XzJ07iJ93IZFT5hA+5ngUvb9vC9JIJYQgvypL20NNWE0makil+oZ6EgurZVVQSZKkUcDL8G0kX/yAorEJTQ0jEBRKG7Dtfdem0LWKHlM8jyYcnImuVxzmkUuHW3/P+qYBqf1s24RX5KVfUqnUI8lkshqvifw44D289YhdWb7Je+2fSyaTF+IVjVkFdABPAH/b32MeqXpmBjVhAwoKI+sqy76mEb7So4poF01RWFQz8ApPu5ssVq3MMXmqnxNPCeMKl5JbIqx5X9+0+YsALKpYSI2vesDHGSucXI6dP/xXzJ07SFy0kJobPiezgKOYEIL8m1lyr3Tinxik8F6O0gcFUCFxSRVVV9ehxeVFAEmSpJHIcQpYdiuG1Uih+AH50gZKxhYo97DuSdMSxCKnEg7OJOifgk+vQtcSKKoPTe0760oa/fr76Z8Dpu5n21S8dg/9lkql7gXu3c+28/ZxWwq4+GCOMRIIx8HRvBNwBRtF8Y+YE3JXCB7b3c4TLR2cFAvzrSnjAWg1LdYXSswOB6nx+4bseM885WUFL/tEJaYw+dzmLwHwN+O+gSX2FLmV00M/npPP03jXv2Fu30p8wUUyEBzlzB0lWh7YRXFt15oPr0Zb5NQY1Tc04B8fGL7BSZIkjRFCuFh2O4a1sxyEHTjjJoTAtJvLffo+olDcQKGUwrI7iIRmAV4bB8fJYFiN9JzaqaATDs4kHEwSDiUJB4/GcXIoioZPr5Wf+VIv/Q0GlwL/kEwmF6dSqe5CL8lksh4vw/fsoRjcqKYIr+l8j8zgSCoeszZX4LGWDgBWZwsUHZeQpvJaxlvW2XOK6GClO21WvJiltk7ntNOjPN7xRPe2H+66hwl+LxD9+/HfIqbJghf7YrW1Ulj7NtE5c2n80Q8wtmwmPv98aj9zi/xQGKWcvEP7H3aTXtIGLoSOj6BX+3CLLomLqwgfK18rkiRJA+W6Joqi77dgiissiqVN5Ivvky++T6G0ESHKZdVRiISOIR49nURkLrpegRAuJXMr+eL6cnbvAxynd4MFRfGha3Ey+VXdt6lKiEjoGPy+Ovy+BsLBJKHAdNS9lh3p2tCdl0mjS3+Dwb8DVgKbksnkYqARb53fJUCaUTBl83Dpdd7t2Nh6uZqoa6EoQ5dJO9TezfVOBm8qljg+GuaNdA4FmBsfuhPNpc+ksS3BwssrcRSL5zIvdG9zcdlu7mB+7CyODx87ZMccTeyOdnb803dwshnaHn0YN58ndtZ8am/+Aooq14eNNqWNBTqfbqX4fh4n4+Cr91NzUwPhU2Iy8JckSeoHIRxspxNNS2AYW7GcTvy+eoqlD71grbQe02oGNCKhWahKAMtpR1NjBAOTvUxeaSOix8ylgH8SAd94/P4GCsX15IvryBfXsavlfoKBaZjWLlx3z7mVrlcRj56BqvgIBqYSDiYJBqaioGHZLSiKjqZGDxiQSlJ/9Le1xLZkMnkS8DfAAmAu0IZX9OWHI7GQy5FAOC5OVzAoLFQtOMwj6r+3c73LDKcKJcYH/GwsGhwTCREfYMXQvRULLs8vTROLa5w238/dTT8l7WS4svJyavQq7mt5EBWVT1VdOSTHG22cXI7Gu/4NJ+tdXXTzeaJnnEnd52+XgeAoU1yfp+W+RswdBgBKQKX6+noqLqtG8cm/tSRJ0t66s3GF97HsFjQt5rVUKKZwRQlQ6Dn9souqhgkHZ+O6BfLFdYCXtRPCIl9cCygE/VOIhGYTCc0mHJrdJzNnWq1k8q+Tzq6kaGzE72sgEj2DcHA2kdCsA07nHA39qKUjagWSDgAAIABJREFUR78rBpQDvm8ewrGMPa6L21VNVJgoysD77x1Ou02LnYbFSdEwX5hQx1dSW0jli0Q174RzbnzoKnkufz5NseDyqeuq+I+2/+Td4nsALKq4GBWNx9r/xLzo6TTIN8Y+XMNg149/0F0kpuKihRTWvUd8/vkyEBxFnIxN62+ayL7UCYCvwU/45BiVV9SgV42c2QaSJEmHmhACRW2jrXNxOTO3HsfN9dnPy+CNx7Y7CAam4dMrMK1mgoFpREKzCfqndGfjbNtrg63rCWwnQ8nYTigwBe1jlq34fTXUVCyipmIRrrBRFVnESxoeB/XMSyaTDcBJeBU/H0ulUm3lyqDZVCplHvjeEvRuLSFcB6erl5ewUEfINNG3swUATolFqPbpTAj42FAsYQrv6tlQTRF1HMHSxWkCAYVTFggeavECwUsTFxHXvMD5Z1N/PCTHGnUch6Z7f0xp0waiZ5xJzfU3oagqibqG4R6ZNEjCFmRXdFJM5TE2Fbszgf6pQar/oo7wyTHZI1CSpDFPCAdF0bDsdnKF98gX15IrvIc/1sGuVm8fn15DLHJq95o7x80RDsxE1xP9Pk7PfXUtTnQAS1ZkICgNp/42ndeBHwJf/v/Zu+84KerzgeOf2d537/YaRztAGDpSVLAAdlCwQIwmEU3Un1FjojEasCSWGGNijEYSg8SSxBiNEY3EXhFE6QiCsiDt4Hrb3nfm98feLZx3wJ7scQf3fb9evO52Znbmu0ebZ77P93kAA+k58zWkU0WfATaSLiQjdETzzKAWLRA9ahrOb2hOET3eni5BLFvMVDT58YSjDDabyNfn5h+1dWtCNDYkOeMcJx8l3gdgdt6FzN4vJVSsgWpLVRTM779F2PMFlpFjKL7mBjETeIyIbgtTu7CC+J5YZptklHBfVoLznHwkrfj7IAhCzxRP1BMMf0YgvIFI9CuSqSZ0WhfJlDdzjFbrIBUfRt8+p2EzjxTploJA9jODvwZ+APwQ+IB0o/kWr5FuHC+CwQ5SUwoprYRW0oDKUTEzGFcUNgUjlBr1FDW3jhhqMfFBU3pN2kRn7lJE33sr/Q/45LNN/Mq/BKfWwYV556MRC6UPquHFf2HwfIFx4HGU/Pinoon8US4VShH1hAl/FsD3biOo6VRQQ38TzrPyMQ4yo7UcXf1JBUHoOFVViScqUZQYoegWEskG9FoX8WQDdssYbJbRSJKWeKKeWLwCi1lGqzl6ahG0R1WTqGqSUGQLocgmovG9WM3DcNomote5CUe3EgitJxDeQCxennmfTpuP2XgciWQDNstYbJaR2MwjMRr6sm7devId47vwUwlC95LtXeLlwO0ej+fvsix//a5jBx1oOi+kSZIKqkIqMzMIkqb7zwxuCUeJqSpjbfuCPtlqznx/Qo5SRHfviuH5MsrIMRa2OlYRqgszO+9CDEfBz6gr+d5/B+9br5HKy6f0lrlojEf3jUBPFdsTpf7vVSQbk6QCSZRACgB9qZGi/yvFPCx3D10EQei+VFUlEtuBP7gCX3AFiWRdu8c1+t5Cp3Wh1ViJJSoAkCQjTtuJmIwDSCYbsVnGYjUP61aVJxUlSjC8iUB4HdFYOdH4boz6UsymwURjO4jEdvL1Ai7B8GfUNDyPJBlR1eaCWZIem+V47JbjsVmPx6gXSyIEIVvZBoP5wNaDnENMPWRrvywuNZVC0YBO0jbPDHb/QGd9oHWKKECRXkcfowGnTpuZLTxcLbOCZ53r4O/ed9Gh42znGTk599FMiUap/dtf0ReXkH/BLCTtvmczoQ3rqfvnM2jtDvwzZ6O1iZ5CR5vQ+gC1f60g1Zjct1ECbb4O55n55F1QICqDCsIxTlVVorEd+L4WAGokMw7riWi1ViwmGb3OTSoVQKt1NgeLnxBP1mOzjMVoKMUfXI03sAwCywCo976GXufGbDwOg74Enc5JJLqdZMqH1TwCm2U0ZuPAnC2/SKaCBMPricWrMBn7YTOPQqu1kkg2Egitwx9aSyiyab/2CxqMhlJi8Qqi8d1IaDEbByBJeiwmGZtlJEZDH4LhjfiCn5JI1GO1jMBuGYvVPByNxpiTcQtCT5NtELcVOAt4v519U4BNORtRT6LslyYKR0WfwQ3BMEaNxFDLvtlASZJ4YFAfJHLzH4jfn+LT5UGKS/Qog7dTVVPNFPupuDqwoPtYpKoqNU/+hdCalQCEN35G6W13orVYiJXvpvovf0TS6eh10200+vyHOJvQHaT8SRpfqcPY30RkS4jAkvRDEK1TR+FVvUgFUpiHWzGUipscQTiWpQPAnfsFgOmOXRrJhNN2Kk7bRGyW0W0aibewWUbQq/D7gIrUXIykxH054agn3TJBY8+0MfCHVrZ5fyiyidrGf2PUl+K0n4ZWayUS3UYqFcRiHo7Lfgp6Xf4hP0c8UYM/tIZAaC2hyBZAyeyT0GLQFxNLVGa2GQ19sVvH4bCMx2QaiEbSkVLCxOKVmAx92w3w8hxTyXNMPeRYBEHITrbB4KPAE7IsR4AXm7cVybL8f8BNpNcTCh2kKgqKRkVLOhjs7jODjYkklbEEY20W9F+rVmjIYYGSj95PN5kfPNXP0w3/AGC66+ycnf9o5X19cToQlCRQVWI7t7Prph/S977fUvXob1GjUUp+dDOm4wbD2rVdPVzhEEJr/dQurCTl2zcLaCwzUXRdbwz9TKIiqCAcxWLxKvyhNei09ubZvHQ2TUvapy/4CeHIVoyG3mg0JgKhdV8LAE9pDgDHHDAA/DpJ0n7ttYTVPBQYCoDdejy9Cn5AMuUlnqghkWzCbBqITusgGN6EP7SKQGgttY3/bnWeQHg9NQ3/wmYehcsxGbNxEPFELQZ9MfFEDcHwZwTDG0mmvKSUfT2IzcbBOKzjMRr6EI2X4w+uIhbfg9U8Cod1HHbr+HYLuGg1Fiym47L+WQuCcHiybTr/jCzLhcDdzb8AXgdiwL0ej+ffB3yzcEBxTYomu0oRR8fM4KZguqXESJv5EEd+c4qisuR9PwYTvHfcfEjGGW4eSpmxf6dd82gQ2vgZDYteQJefT5+7H0BNJtn9sxtREwn2/HIuaiKB+9vfxXbCxK4eqnAQqqri/7CJuoXNT8Z1EnmzColuC2MeZiXvgkIknQgCBeFo05La6Q18jD+0NhPYAVSwAItpCGbjoDb7IrFtAGgkI07byc0B4PFZB4AdpdEYMGiK2gRhLvvJuOwnk0qF8YdWo5LCapLRaMz4Q2vwBpYRjGwkGNnY7nklyYhOa8dikrFbx2O3jkevc2X2O5hAUf6sdJ8/UQVcELqVjjSd/50sywuB04BCoBFY5vF4GjprcMe6v16cbs3YmEqn9HXWP/65sikUAWCE1XKIIw/jGhvCNNQnKTq5Cr8p/fOZ5uzZs4LxmmpqFsxH0uooufFn6Jzp/2AH/fVZ9tx7J/G95TimnIFr+swuHqlwMCl/ktqFFYTWBAAwDjRTdH1vjH1FkR9BOBqllAjxeCWB8Hq8geXEE1VAembPZhmD0zaJRLIJf2g14eg2wtGtzUHfKTjtJ2Mzj0jP0KW8WE3DusU9gFZrIc8xpdU2t/Mc3M5ziMWr8AU/IRbfm073jFdh0Bdis4zBYh6aVUV0EQgKQvfTocIvHo/HC/yvk8bSw6js7ZX+Lkm6UmB37jOoqiqbQxHsWg39TJ03ziUfpAPjmjHvAjDHfRkTrGM77XrdXaK2hurHfo8SDlF09XWYBg7K7JP0enr99OeEP9+A49Qp4j/ZbkZVVNSYgsasTReGWVBBypfEPMJK0fW90Rd037/vgiC0T1WTBMMbaQosJRBamyl+IkkGnLZJOO2nplM792siXpR/MYlkY7rdg2lIq3VwJmN/TBwdmS9GQy+K8md39TAEQcixAwaDsiyf15ETeTyeNw5/OMc+9SBFVrpzn8HqeIKGRJKTHFY0nRR0eJuSfLY2RF7fOFWl5VyaP5vz86Z1yrWOBoFVn1Lz+B8BcJ55Do7TprY5Ru8uwDn1zCM8MuFQ4lUxah7bQ7wihnWcneAKP2gl3N8rwXW+W6wHFISjyL4U0GV4g5+Qas7mMehLsZiOw2oeicN2AlrNgZdQ6HX5WRVgEQRBONIONjP4GunmLtnctaiA6Hp8mLrzmsHNzSmiI22dlyK6bIkfRYHkhHVoJS2nO07rtGt1d/HKCmqfXACAaYhMwXeu6OIRCdnyL22i7ukq1KgCOongCj+GPkaKf9wHY//OW28rCMI+qpokEP6MZNKH0zYRrbZjvTkVJUYwvIFwbDuB4OpMBUytxk6+cxou+2k5bcMgCILQVQ4WDA47YqMQgO4dDG5oLh4zwto5N7OKorL0Qz96A9SNWMaJ1uNx7bf4vCdR4nGqH/8jajxG8fU/wX7SyV09JCELSjRF3dNVBJZ6kcya5uDPRHhzCMfpeWgMoj+g0PMoagJFieILfII/tBKjoW9z43M9iUQdkmTAZT+lwz3iVDWJoibwB9NtEpy2SWg0RmLxCpr8S/AGlpJM+QCorn+WPMfpuF3TM4VTFCVONLYLnS4PrdZGMPw5wfAG0s+2VXyBFShq+iGoJOlx2Cbisp+G3TIm07pBEAThWHDAf9E8Ho/nSA5E6L7B4FfhKKv96XLRvXLUVP7rvtgUoa42SeFJ1QRMMc7swT2E6l94Nl0U5oyzRSDYzSlRhVh5lHh5lLon0zMHxkFmSn7cB31J+ubW0EcUiBF6nmhsD42+d/AGlqGo0cz2UOQLGn1vtzq2puF53K5pqGqKeKIavaWKXZXvote5AYVk0ovLPhm9vghfYBnh6FYisR2tzlFd/xwGfTGR2FcAaDU23M5paLVOGn3v0uB7kwbfW1jNI9BpXQTD61u1Qfg6vc5NnnUqZtMg7JaxHZ5ZFARBOFp06PGWLMvjgBOBfsCfPB5PpSzLo4G9Ho+nsTMGeKxpL6GkpVl7d33auKBiXxnszkqJWfpheg1G7fHvUagrYJRlRKdcp7sLrl6J/4N3MfTpR8Flc7p6OMJBxPdGqfrDHhKVscw218wC3JcWIenELKBw7FJVhWB4I+HoNrRaK1qNBYd1AhqNCX9wNQ2+dwhHvwTSaZVmQ18c1vG4HKcRDG8mEt2GoiYwGfqQUkI0+N6htvE/mfNr9NCcjJIRCK9v9VqvK0CjMeO0TURVkzT63iUS247VPIp8x+nYrRMy1TkL82biC66g3vs6ocgmAHRaFw7rSaSUICklgtUkY7eOy/Tqs5iGIkni77EgCMe+dqMPWZYtHo8nvN9rO/AP4EIgChiBl4BK4HagCril00d7jNI2B4OabhgM+pMp9sbSLR7mD+mcimehUIp1a0I4ihPU9tnFGY7ZaHrgf8KJulpqn34CyWCk5Iab0BhEtcnuKvCxl9q/VqDGVCDdJiL/0iKsY+xdPDJB6DwpJYLX/xENvrczbRRaVCCRTrFMs5pH4Xae0yrAAshzTCbPMbnVewvyLsAXWI4kadHritjqqWD4iBHE4xVIkh69vpBG3zukUkGctomYTce1KcZSmHcxihpDp237d1CSdLjsp+K0nUIsvoeUEsJiGtKmSbsgCEJPdKDo4xNZlmd6PJ49za8fJj0jOBX4lHSz+RZvA7d22giPUdJ+/2lqM03nu18wuC28L72nsJNSRNesDJJMqDB2M5IkMbUHFo5Rk0mqF8xHiYQpuuqHGEp7d/WQhHaoCYX6Z6vxvdOIZNZQ8tM+2E5ydvWwBCHnEslGvIGP8QU+IaUEsJqH4w+uQVEjSOhw2SdjNg4gpYRJpYLpRuVqCqdtIvnOszEaSrO+llZjJt95Vua1qkQxGXpjMuz7d7C08KqDnkOjMaDh4A/QJEnCZOyX9bgEQRB6ggNFH8uB1bIsz/Z4PMuBi4FbPB7PUlmWv/4obTfptFEhK23TLDWSBGr3DAY94fQC+nn9e3XaNT5Zlm7CXTtiGcdbRpHXAwvHNLzyH2Lbt2GbeAr2dlpICF0v9FmAqgd3A2DoZ6Tk5n4YSjtW9EIQurN4oo54opom/xJ8wRVACtCgkQx4A8vQafMocM4k33EmOl3rhyC9Cq/skjELgiAIh6fd6MPj8fxIluXXgH8CAwArUHOAc4hV1YepJTzsjgVkPOEoEiBbOqeKaF1tAs+XUfIHB6jM8zHZ3vMKpkS2fIH3jcXoi4opuvJqUaq8m1EVlaZX6mj8T3rtrH2yi8KrS9EYe14qs3D0aOmN1xRYSjjyJXbrCRS4pqPV2r52nEIwvIF672uEIpsz242GPrjsU3DaJqHVmInG92I2DeqWyxkEQRCEb+5g1UTflGV5fPPLjcAs4J12Dp0OrOmEsfUY+4LB7vWfbFJR2RGJ0d9kxKztnBvfTz9OzwoGx6zGrDEzwTquU67TXSmRMDV/fRyA4mtvRGPuvD6OQsfEK6LU/HkvsR3pVGldgZ7Ca0qxHi/WBQrdVyoVxh9aSaPvAyKxbc1bJaLxchp8b+B2TsftOq95tu9jGryvE0tUAGAylmEy9MNlPxWreVSrB1NWs9wFn0YQBEHobAeNPvarEHo/8Kosywbg36RXiR8vy/Js4Brg/E4d5bHkILM+3S0Y3BmNkVBVhlg6pzS+qqp8siyATq/iH7qGM2wTMWh6VtGUun/9g2RDPXkzL8Z03OCuHo7QLLQuQPX8PagRBQDzSCslP+mL1tG9/o4KPZuqKgRC6whGPkcjGUmmvPhDq1GUdHq/1TyKPMdk7JaxNPk/pM77GnVNL1PX9DJkCr5ocdlPw+06H7OxrAs/jSAIgtAVsrqz8Xg8r8my/D3gIeD7zZufJJ06eqXH43mvc4bXM2RmBjvW6aPTbW1eLyh3UjC4c3uM6qoE+eNqCZrinGY/pVOu010F160hsGwJxv5l5F84u6uHI5B+QOH9Xz0Nz9cg6SSKru+NrkCPeagVSSvSd4XuQVUVfMEV1DX9l1i8vNU+ndZJnvN08pxntirAUpA3k3znOTT63qPR/y4pJUyefSpu17Q2lTkFQRCEniPr6MPj8bwgy/KLwAigEGgEPvd4PKnOGlxP0V3XDHqaK4l21szgJ80pog0jl1GkK0Q29ZyZsaTfR90zC5F0eoqu/RGSrns9COiJlEiK2qcqCX7sQ5uvo9fP+mMa1DlrZQXhm1DVJN7Ax9Q1/Zd4ohqQcNpPxWYeiaJE0enysVuOz/TX+zqNxkhB3vkU5IlkHkEQBCGtQ3egHo9HAT5veS3LshmI5HpQPYKktt3UjdJEVVXFE46Sr9NSoM/9uBRFZc3KIEabgm/QVk6zzzyqegsq8TjBlZ9gO3EiGmPHgmVVVan725OkAn7cl83B2LtvJ41SyIYSTuF9p5HGF9I1soyDzfS6pR+6vO71cEbouRQlTlNgCfVNi0kk65HQkuc4g4K8CzDqS7p6eIIgCMJRLKu7fFmWvw84PR7PH5tfjwQWA/1lWV4OfMvj8dR22iiPJerXvu73ojtVaatNJPElU0x02DqluuU2TxRvUwrXxD34tAqn2Cfl/BqdqfG/L+F9YzHRHV9RdOU1HXpv8NPlhNatxiQPw3XO9E4aoZCNeHWMqgd3k6iOA2Cf4qLomlIk/dHzYEI4MFVVj3h13khsJ7UNLxKJ7cJpPxmToS9W80gM+oJW41KUEEg6NJIeSdISinxBbeMiIrFdGPWlGA29cTvPJRTZRL33dZIpL5Kkx+2chts1o9X5BEEQBOGbyjb6+BmwYL/X84EQcCNwE/Br4P9yO7SeoztWE93WySmiqz4NAlA/9BPKDP0oNXTfp9tqMokSjaK1pUuyJ2qr8b7zBgD+Je/jPP1sjP36Z3WulN9P3b/+jmQwUnz1dUgaEXQcaaqqosZVYjsjVD1cjhJIobFr6XVrf8yyqOZ6tFNVFVVN0OB9gzrvYiymIZQUzGm1fq4jFCUOkuaQD+ti8QpqGv+DP7gCAEky0uB9Pf09OvKcZ2Ey9ENRwvhDawlHv2zep8VkLCMS2w6AVmMlEttGJLYNb2AJABrJRIHrAgpc56HrgX1YBUEQhM6TbfTRH/gCQJZlN3AaMMPj8bwly3Ij8PtOGt+xq52H1d1pzeBXkXQweJwl9021FUVl9cogRqtCdMAOJtm7b/GU2O6d7Ln7diS9nn6/+QP6gkLq//0cJJM4pp6Jf8n71D33N3rP/QWx8t3oXHmA2vy1rbp//Q0lGKDgO1egLyo+op+lp1NVFe8bDTQ8W71voxaKri3FcYYooHE0U1WVUOQLahqeI6WEUdVkOp1S0hMMf8ZX5Z+h17kpdl+G03YKUhYp6SklTH3T/6j3vo5GMlKUP4s859mZoDAa20My5cOgL6K2cRHewFJAxWwcRLH7UiymITT6PyAWryAY3kij761W59dp89FoTCSTjURi27FZxlCU/y1MxjISiTqi8b14Ax9hNg4g3zkN3df6AwqCIAhCLmQbDCpAy4r004EE8GHz6ypA5KtkSW0nZak7zgxuD8fQAmWm3AeDni8j+H0pnBN349OqTLSdmPNr5IKqKOy5547094kEDS+9gGPKGYTWrsY0WKbwymtI+byE1q+l8qFfE/ky3bBZ63TR74GH0Vqtrc4X+mwtwRWfYBx4HM6zpx3xz3OsSjYkSDQkMA9pPauXqI9TM38vujwdtpNdhDcG8L/XlNmvMWsouaUfllHiJvtoFI2VU93wPBpJRyxememVBxokJApcMyjMu5hQ9Euq6/9FPFHJ3po/0+B9k5KCOVjNw9o9r6omafS9T23TIlIpPzqtC0WJUVX/d2obX8ZhO5FkyksgtLbV+4yGPhTnX4rdOiGTmlrgOg8ARU3i9X9INL4XrcaM3ToeS3PBLEWJk1KCrSp6Gg2lGA2lOLvpv42CIAjCsSPb6GMjcK0sy18BPwI+9Hg8seZ9/QCxXvAwjNNYIRVCkrRdPRQAUqrKrmiMviYDhk5IY1y9ojlFdNinDDQOoFhflPNr5EJg+VJQ0+s5JZOJ4IrlRLd5ACj47hVIkoT7sjmEPt+QCQQBUj4vO390NX3vfwhjn3RxGCUSpu4fT4FWS9FVPxTpoTkS2xmh4oFdKIEU7u8W45pZgCRJ+D9qovYvFZnjgiv8ABj6mSi+sQ8aowZJL6HL7z6z8cLBJZKN1Da+jFHfi3iylkbfO+y/+NpsHEyvwivRaR2AJrOmzmGdgMM6gXiilpqGF/AFP2Fnxb3YrSdQ4v4ORkMpkJ5d9IdWUdPwPPFENRrJRFH+tylwnYeixqlrfIUG35s0+d8HwGQow2goJZ6ow+06F6ft5APOOGokHfnOs9vfpzGg0YiZaUEQBKFrZBsM3gX8D9gKhIH9/1e7AFiV43H1CKaIimrQcabBSkzpPrOCe6NxEqrKQHPu1wumUiprVoUw2lNEy3YyyXZJzq+RC0o8TuMr/0HS6en320dI1tVS8eB9JBvqsZ8yGdOAQQAYikvImzaDptf+i+3ESUh6PYEVyyGVouqPD9H/wUcIf7GJ2qcWkPI2kXfh7EyAKByeyNYwVQ/uQokoaB1aGv5VQ8qXROvS0/BcOhXU/d1iEtVx/B80YT3RQdF1vdFausdDFyE7qpqkwfsmtY2LUNRoZrtBX0KvgisBCb0uD5Px4Ot2Dfoi+pb8BHd0OtX1zxIIrSYQWofbeTYmY3/qvW8Qi+8BtOQ7z6EobzY6nRMADSZ6FV5JsftSfMEVaLV27JaxWaWbCoIgCEJ3lm3T+aWyLJcBw9MvPfX77X6edJAodIiKqoHCmAXMqW61XnB783rBgebcp4hu3ZJOEdWf5IFunCLq++Bdko0NuKbNQO8uQO8uwHbiJMJfbML9rctaHZs/69vYJp6SCfLyLpjFnrtuI1lXS/1zf8f3wTsA6AoKyZ9x0RH/LMei8OYgVb8rR00oFP+oD6ahFiof2I339QYAtPk6et9RhqFP+oFG0bXfrHiI0DVSSphAaD2SpKe28UVi8b1oNXbyHZMBCYO+iHznud+oArPFNJgBve/FH1pJdf2/aNhvLZ/DeiLF7ssys4Vfp9GYyHNM/YafShAEQRC6n440nW8Clrez/ZWcjuhYt9+SQUVKr25R1USXrxf0J1N82OTnfLeL7ZF0BvCgTpgZXLcmBEBo6Gfka/Mo7Ibl0VPhME2v/ReN2UzejAsz24t/eCNqMtGmr6Ck0bSa7TMUl1D28J/ZfcfPMoEgQMmNtyDpu0/Qf7QKrQ9Q/YdyVAVKbu6H7UQHAH3uHUDVH8pRQgq9buuHvrD9xttC96UoMeqaXqGu6b/7bZXId5xFkftSdFp7Tq4jSRJO20Ts1vE0+d4jlqgi33HmIWcXBUEQBOFY031yE3sgVQIJDYqa7PJg8C8VNawPhHm+Jj2zopck+ppyezOtqirr1gRRjVGUAbs43TEzp+fPFe9br6EEA+TPvhStbd/Np6TVImmzSzHUOhwUXPo9ap9agOX48ZTefFtnDbdHCa70Uf3YXiQN9LqtH9bj9/3+aO06+tw9sEt6ywkdl0z6qGv6LwZ9MbFEJV7/0lZpoFbzcDQaC0V5F2M2DeqUMWgkPW6X6PUpCIIg9FwiGOwiEqBqWmYGuzYY/HdNA+sD4VbbykwGdDm+od5bHqehLoUyajtllj7Myr8gp+fPhVQwiPedN9E6nIfdEN5+6hR0eXmYBg3O0eh6tsByLzV/2otk1FD68/6Yh1vbPU4Egt1XOLqdlBIkGPqMRt+7qCTbHFPgmklR/mw0ms7pcSoIgiAIwj4iGDzi9t2oZtJESaKVzF0ymmAqxSt1TW229+1gS4moEsOb9FJiOHDvvJYU0dTQrVxT9H203aR66v68b7+OGo3guuhbbdJBO0qSJCwjx+RoZD1b4JN0IKgxayi9vQzTYNEcPhcUNYmEtlMD6HSVzpVU1/+TRHLfcnONZKQ4/zskkvXodPnkOaYiSXq0IggUBEEQhCNGBINdREVF1Uho0HTZmsFwSuH6Lbva3efWd2w8f65ZyOpPz64pAAAgAElEQVTQWh7t99sDBoTr1gRBk8I+rJaBxrIOjrbzpYIBvO++hdbhxHn6WV09HKFZ4BMfNfP3ojFpKL2zDNMgEQgernSbhkX4gyvQ6dz0LroWi+m4Ax4fT9RT730Nu2U0duu4do9JJn1U1j9DOOKhKP8S8hxTSaZ8VNU9jT+0GgC9zo1Ol4/ZOJDCvAtb9dYTBEEQBOHI63AEIsuyiXRvwV0ejyee+yH1LBop92mij5ZXE0qluHNA+xUUfckkTp2OVf4gCXVfn65Sg54f9S3m/UY/57ldWV9PVVVWNzdgXhfewHmGc9oc09iQZPfOOKlBuxlfMAxNNyzJ7n0rPSuYd/G30BhzX0lV6LjgCh81f9qDZNJQeocIBL+p/ddR+oKrqKx9gpQSQpL0xOLl7Nj7C9zOaRS5L201MxcIbaCu6RUise2oaoJG31s4rCeC1Dog9AU+pbLuaVJKAJCorFtIo/894okaFCWExTSMXgVXYDL2F+0YBEEQBKEbyToCkWX5QuBXwIjmTScA62RZfpZ0E/qnO2F8xxypOU1UkfZtyXUwuMKfbuqeVNU26/7WB0L8dncVd5aVEkimWu27slcBg8wmBvXuWJpWdaIm8/1noY2c50oHgxElQm2ijv7Gfqxfm04RVYZtZbz1lA5/ps6WCgbwvvcWWqcLx+ntN4cWjqx0sZg96TWCIjX0G1HVJDWN/6G+6VVsljEkkz6i8V1Ikh67dQIl7u+SSDZRWfdXGnxv4g+tprTwGqzmoVQ3/Ku5sTtoJBPF7m/jD63BH1qFwb6eem8Ip20SVXV/xx9aiSQZKCm4Aof1RKob/ok/uAKNZKa08GryHGeKIFAQBEEQuqGsIhBZlq8Engb+Afyu+WuLDcCc5v1Cllrm47RoADVnwWAkpWS+r48nKDEaUFWVpAp6jcSWULpa3+ZQBG9iX/GGvw0biEmb3c3aX2qepDJexX197kKSJL6IbMns2xjZxC/23s+1hT/gbd+7vO//iN/1/RXr16SDUu2wnYw0/18uPmpOpWcFo+Rd/G00BtGSoCtFvwpT90wVse2R9IzgvDLMQ0Qg2FHB8Caq6/9JNL6r+fUGAIz63vTtdQsmQzpzwGgo5bi+v6O2aRH1Tf9jd9WDmXMYDX1wO6dht45Fr3Pjdp2PN/ARe6v/TnX9s1TX/xNQsZhkehddh9HQC4B+JTcTie5Ap8tDr8s7op9bEARBEITsZRuBzAN+7/F45sqyrKV1MPglIOrmd5DaPGHXMlOYq6bzDfsFeNXNweBrDV5erm3kkcH9qYqnM3vLozH8zTODfxzSP+tAMKkm+TS4irgaZ2+8kr7G3nwZ8QBwgnU8q0Nr2Rb9isdrF+JN+lBRWVK/ii83j0bpVcWoXn0xarpXCmbrWUGxVrAr+d5poO7pqvQLnUTpvP6YZREIZisWr2RvzZ+JxLZntjlsEylxX04k9hWSpMNhndDmfRqNgRL3d3DaTqay9kkisW24XedTnH8pGs2+hyOSpCHPcTo7vtJR3HszgdBqCvNn43ZOazPzZzYN7LwPKgiCIAhCTmQbDA4A3j7AvjDgyM1weg5VSs/gaaSWYDA3M4P1iUTm++p4+vstoQgRRWV7JEZVLL1tdzROOJWij9FAsSH7QHR3bA9xNR1Qboxsoo+hlC+iHhxaOzNc0zJrB3fGdmfe8+a6LzGkRqPIXzHeOvawP2Oued99S8wKdgP+pU2ZQNA4yEzhVaWYBnVNld2jkTfwCZW1T6CoseYtWnoXXYvLPhlJkjDoCw55DrOxP4P6/urQF1Mt9Cm+DlX9oWjlIQiCIAhHsWwjkCpgKPBBO/tGAbvb2S60oyU9tCWZs+U2KnfB4L6ZwZrmYLAmnt62JxbLBIgtM4h9jB0LfjzRbZnvN4Y3Md46lsZkIydZJzDYNAiTZCK6X+NoAM22dMPo1ODtjLNe3MFP1LmUaBTfe2+jsdlxTD2jq4fTI6mKSmCZl9oFFWisWnrfPQBjP9FeIFuKmqC6/p80+t5GkgwUuGaS7zwXndbRalavM4hAUBAEQRCObtlGIC8A98iyvAlY3rxNlWV5KPBzYEFnDO5YlkkTbZkZzFGXj6+niaqqmgkKNwTCraqHAvQxdexmcWv0KwDsGjtfRjxsDG8CYJh5KBpJw+Nlf2Bd+DP+VLMQgO/mX8pLWwtRTVHM/by4dNlXKT0S/B99gBIKkp+DvoJCxykxhcr7dxLdFkkXipnXXwSCHRBP1LGn+lEise0YDX3pV/JTjIbSrh6WIAiCIAhHiWzLu90DrAY+BMqbt70KfE66gMyD7b9NOCBNy5eWNNHcVNrbPxisiSWoSyQzAeCX4fSM3f5poR2ZGVRVla2RbTi1Dk61TyKuxvlf0xsADDfLAFi0FiZYx2OWTAwyDuCE6JlovC6GjzTzu7J7D/vz5ZKaTOJ9+3UkgxHnWed29XB6HDWpUv1IOdFtEQB6/bxfj6wYmm7KvpZEsgGASGwXjb4PUNVkq+MUNUFV/bPsrfkziWQTgdB6tu+5nUhsOy77ZAb1uV8EgoIgCIIgdEhW01EejycGnC/L8jTgbKAQaATe9Xg8r3fi+I45LQVjWubnWkLAXKWJNjYHg/1MBsqjcX6ytW0G74kOK/+r9wLQ25j9esHGVBONqSZOsI5njGUkb/reoS5Zj11jo49hX09Dk8bIr/r+ApNkYt27YQAmjiukQN+9lpYGViwn2diA8+zpaG32rh5Oj9L0ej0Nz1YDYBljo9dt/ZB0Pa/1gKLEqKhdgC/4KRJaAFTShZ0q6xbSu+gGXPbTSKaaKK96hEgsnabtD65BUSNIkp7Swv8jz3GGSNkUBEEQBKHDOhSBeDyet4C3OmksPYoqpcPBfWmiubkRbkwmsWs19DWmg8EWEvsC0JFWC2/Ue1GBXh0omLI9ugOA40wDGWaW0aEjSZKhZrlNE/mW4PDzDZUAjBrTOTM+SiSMZDAiabUdep+qKDS9sRi0WlzTzu+UsQltJerj+D9somlRHQDGwWZKftozA8FEspHyqt8Tie3AZCwjHq9GaV5v67BNxB9cQUXt4/iCy4nGdpNMeXHaTsFiGkxNw/PodUX0K/kpZtOALv4kgiAIgiAcrQ4YDMpyx+q5ezye8OEPp+dQmkOzljRRcjQz2JRIUmjQt6kQOshs5KtIusrgKJuZ8Q4rigo6TfazCdtagkHjQIwaI7J5MJsjXzLcPLTd4+NxhS1fROjTz0C+Ozefb39Jn5fyebdgO+Ekiq76Ydbvi9dUUz73ZgDsp0xG7z50lUXh8MX2RNl713bUmIrGpqX4xj5YRlp7VCCYSoWpbvgnWo0Vb+BjkqkmXPaplBZdTTLpIxavwGYZjSRJxBO1VNQ+0dwfUENJwRW4ndORJAmX/TQkjQFNjlrSCIIgCILQMx3sDj3IvsmkbHRsaqaHaikc06aAjHT4P75ISiGiqOTrdJR8LRjsbTRkgkGNJHFLv14dPv/22A4kJAaYygCYYj+VnbFdjLce3+7xni8jJBJqp80KBpYvQ4mE8S/9ENd5F2AoOfRnUhWFhhf/lXntOm9mp4xNaC3pTVD1292osfQ/KaVz+/eI9YGqqtLgewOvfylu13Tqva8Ri+9t3itR4p6D23VepvXD/u0fDPoiykrvxBdcgUFfiMU0OLNPq7Ue4U8iCIIgCMKx6GDB4A3sCwb1pKuGBoFXgBqgBLgYsAG/7cQxHpNagsHMmsEcpIk2JtPrBfP0Oor3Wwt4ntvJBYV5bAlH+U6x+xudW1EVdkR30dtQikWT7v022XEKkx2nHPA9n3+WnizujGBQVVUCH3+Ued30+qsUX33dId9X+8xCQmtXAVD4g2sx9u6b87EJrSlRharflZOsT5B/aRH5Fxd19ZCOCFVNUVX/dxp97wBQUZsuupzvnIZWY8ZqHo7NMuqg55AkDS77yZ0+VkEQBEEQeqYDBoMejyfTLkKW5d8Da4DZHo9H3W/7ncDLwMDOHOSxqOWHKGVmCA8/jbKleEy+TttqLeC3itxYtBr+OKT/Nz53RbySqBrlOGP2v9WbPo9gMEoMlnPfODy2exfxyr1Yx59AvLKCwCfLyL9wNvqCwgO+JxUMEFi2BIDC71+Dc4roK9gZUsEUGpMGSSehKio18/cQ2xHBPtVF3kUH/v05lihKlD3VjxEIr8Nk6Eex+3s0+t7Cbh1PvvOsrh6eIAiCIAgCkH1riSuAhfsHggDNr58A5uR6YMc6paWADLlLE21K7JsZtGv3/dZatIc/67gtth1IF4/JhtebpHJvnCFDzej1ua9yGFi+FADHqVPJm3ERpFJ43/jfQd/jX/IBAHkzLsIx5cycj0mA2O4Iu37sYc+8r0g2Jqh/tprQ2gDmkVaKrul9zFe8VJQ4e6r/yBc7vk8gvA6reRQD+tyD3TqG/qVzRSAoCIIgCEK3ku10lAk40LTSAMCYm+H0AM03w19PE83FksumZLokfb5ehyRJ3NC7qEOLPg9me3QnAIOyDAa3bE73jhs+IvezgmoySXDFcjR2O5ZRY0CSaPzvS/iXfkjeBRejc+W1fY+i4PvwXSSjEdf0mcd8UHIkqaqK780GlIiC/8Mm1IhCfG+M8p9/hRJMYehjbK4Yemz/zJOpIOVVDxGOegBw2afSu+ianLWNEQRBEARByLVsp4xeBX4ry/J3ZVk2AciybJJl+XvAb5r3Cx2wr89g7mYG96WJpm8+J+c5mJKXm95+26M70Et6+u7XT/BgvmgOBod1QjAY3rSBVMCP/aRTkHQ6JK2WvPMvRE0m8L75Wvvv2bCOZEM99kmnobWK4hu55H+vifp/VNP4n9r0usBvF5E3uxAlmELr0tFrbn+01mO3vlQsXsn2PXeyZec1hKMeDPpe9C+9nT7F14lAUBAEQRCOAvPnz2fGjBmHPG7OnDncd999R2BER062dyo3Anbgn4Aqy3KQdOEYCfhf836hA/ZVE23+moOZwZYCMvn63N6ANiQb2RUvZ5BxALosb26/3BTGbNHQf0DuJ40Dy5cBYD/ltMw2xymTaVq8CN+H7+KaPqPN7KDv/XcBcJ55ds7H05NFtoSo+1u6l6TOrcc63k7exYVIkoR5qBV9sQF9Yfa9LI8mqpqkovYJvIFlmW1u53RKCuYgST2nXYYgCIKQO/PmzeOVV15h9uzZPPDAA632PfTQQzz55JNMnTqVJ554ootG2HnmzJnDqlWr2mw/77zzeOSRRzr12ldddRWXX375IY+bP38+Ot2x9aA3q0/j8Xh8wEWyLI8GJgK9gCpgpcfj2dCJ4ztmKZkgsPlrjmYGdRKt1gvmwkOVj6bPn2zK6vi62gR1tUnGTrCiOUgfw8g2D1q7HUNJ6SHPqaZSVD/+RzQmE6H1a9GX9sZYti9lVdLrybtgFnV/e5Km//2Xwjk/yOyLV1cR3rQB0xAZY99vXkRHaC3ZkKD6kT2gQukvyrCMsLXabxllO8A7jy6qqhKL78Vo6I0kaVBVhVBkE+XVj6Ao6RnwkoIrsJqGYTKWiRRkQRAE4bD06tWLN998k7vuuguLJV2RPZlM8uqrr1Jaeuh7pqPZrFmzuOWWW1ptM5lMnX5dq9WK9SCZY/F4HIPBgMvl6vSxHGkdiho8Hs9Gj8ez0OPx3Nv8VQSC35DaXEBGk5khzE0BmTydLuc3o3pNembnJyXXZ3X8li8OvV4wFQpR8eu7KZ93C0okcshzhjd/TmjtKgLLl6ImEzhOntzmczpOnYq+qBjfkvdI1NVmtvs/fA8A5xnnZjV+4dCUuELVH8pJ+ZIUXF7SJhA8VqiqQkXtAr7acxu7Ku+nvPpRNm//LrsqH0BRIljNIxnS/08UuM7DbBogAkFBEAThsMmyTFlZGW+++WZm25IlSzAYDJx44omZbYqi8Oc//5kpU6YwcuRIZs6cyXvvvZfZf8UVV7RJaQwGg4wZM4Z33km3PYrH4zz00ENMnjyZMWPGMHv2bJYt25fxsnLlSmRZ5tNPP+WSSy5hzJgxzJo1i82bN2eOefnllxk7diyffvopM2bM4Pjjj2fOnDns2bOn1bU/+OADZs2axahRozjjjDN45JFHiMfjrY4xm80UFha2+mW32wHYu3cvsizz+uuvc/nllzN69GguuugitmzZwtatW7nssss4/vjj+c53vtPq2i0poP/5z3+YOnUqo0eP5oYbbqCxsbHNMS3mzZvHD3/4QxYuXMjkyZOZMmUK0DZNtKGhgeuvv57Ro0dz+umns2TJEmbMmMH8+fNb/X6+9dZbrT7nGWecwVNPPZV5HQgE+MUvfsGkSZMYO3Ysl19+OZ9//jlHwrE1z3kU+XpricMtIKOoKt5kisGW3D89aUg0kKd1McwsZ3X8F5ua1wuOPHAwGN68MfP9nvvupP9v/nDQcwZXr2j12japbX9DSacj/6JLqFn4JxpfXUTxNdejxGL4P16C1uHENuHENu8ROk5VVeqeriS2PYJ9sgvn9G/Wu7K7S6aCVNY9iT+4Aq3GSijyxX57Jdyu8yh2fweNWBcoCIJwVKh/4Z/Yly9l17+O3PIF2wkTKbjs0OmHX/etb32LRYsWMXv2bAAWLVrErFmz2Lt3b+aYf/zjHzz11FPce++9jBw5ksWLF/PjH/+Yl19+mWHDhvHtb3+b++67j3nz5mFobjn22muvYbFYOP300wG4/fbb2bNnDw8//DAlJSV89NFHXH/99bz00ksMHTo0c62HH36YW2+9lcLCQh544AFuvfVW3njjjcxD0Hg8zhNPPMEDDzyAwWBg3rx53HPPPZmAZ9myZdx6663ceeednHDCCVRWVnL33XcTj8eZO3duh342jz32GHfccQd9+vThnnvu4Wc/+xn5+fncfPPNuN1u5s6dy69//WsWLMh0yaOiooLFixfz+OOPE4lE+OUvf8kdd9zR6pivW7VqFTabjSeffBJVbb8k47x586isrOSZZ57BbDZzxx13UFFR0aHPo6oq1157LXa7nSeeeAKn08krr7zClVdeyVtvvUVRUef2ZxYLW7rK15vOH+bMoDeZQgHycpzH7Ev6aUw1UWbMLr1SVVW+3BzG7tDSu8+B/7ENb1if+T5RVUkqFDrwOZNJQmtXo83Lx37KZJxnnoveXdDusbaJJ2Po3YfA8qVEvtpK5e8fQAmFcEw5A+kYy/HuKoEPmwgs8WIcaKLwmtJjcjYsEN7Alp3X4A+uwGKSGdJ/Pr2LrsPtOh+57HGGDlhIr4I5IhAUBEEQOsWMGTPYtGkTu3btoq6ujmXLljFr1qxWxzz11FNcddVVzJw5kwEDBnDTTTcxYcKETAB2zjnnIEkS7777buY9ixYt4qKLLkKv11NeXs7rr7/Oo48+ygknnEDfvn25/PLLmTx5Mi+88EKra910001MnDiRQYMGccMNN7Bjxw5qamoy+5PJJL/85S8ZPXo0Q4cO5aqrrmLlypWZIGrBggVcffXVzJ49m379+jFx4kRuu+02XnjhhVaB1osvvsjYsWNb/XruuedajeUHP/gBU6ZMYdCgQVx11VV89dVXzJkzh4kTJzJ48GAuv/xyVq5c2eo90WiU3/72twwfPpzx48dz77338uGHH7Jr164D/h4YjUZ+85vfMGTIEGS57YTIzp07Wbp0Kffddx/jx49n+PDhXHfddUSj0QOesz0rVqxgy5YtPPbYY4wePZr+/ftz880307dvX159tfNrdIo7mSNMag7/cr1msKXHYL4+t1Ubd8V2AzAgy2CwpiqBtynFiZNsBwwS4lWVBJYvRetw4jrnPBpeep7A8o9wnXNeu8eHN21ACYdwnjqZwu9eedDrSxoN+bMupXr+w1Tc/8vMdsdU0VcwF2K7I9Q9U4XGqqHk5n5oDEf/86RIdCexRAVO28lIkoZAaD3l1emZaptlLP1KbkKjMZHnmNq1AxUEQRAOS8Fll7N78DDGjx/f1UM5JKfTydlnn82iRYuw2+2cdNJJrdYLBoNBamtr23yWcePGsXRpuhezwWDgwgsvZNGiRZx//vls27aNjRs38uCDDwKwefNmVFXl/PPPb3WOeDzOxIkTW23bPxhqmalqaGigpKQkc62BAwe2OiaRSODz+XC5XGzevJmNGzfy5JNPZo5RFIVoNEpdXV3mnNOnT+fGG1vXpczPzz/gWNzudHbSkCFDWm0Lh8NEIhHM5nSWWnFxcauf35gxY9BoNGzfvp2ysjLaM3jw4MyManu2b9+ORqNh9OjRmW2FhYUdnsnbvHkzkUiESZMmtdoei8XapNp2BhEMdpF9aaLNrSUOM020qbmSaK5nBnfF08FgtjODLesFD9ZSovz29MJgfXEJjimn0/jfl/B98C7Os6dnfh6pYIDIl5uxTjiJ4Kp0iqj9xJOzGoN13AQMpX2IV6ZTKWyTTj3gTKKQvVQ4RfUje1ATKiU390VfdPRWCY0n6mnyf0CT/32SKR8AXv9SnPaTqax9EiSJstI7sFlGH+JMgiAIgtA5Zs+ezdy5c7FYLNx0001Zv2//h/GXXHIJF1xwAZWVlSxatIixY8cyaNAgIJ3NJUkSL730UpsKmV8v2rL//pbzK4rS7v72jlEUhRtvvJFp06a1Ge/+wZ7dbqd//4Pfc7Y3lkON75toKd5zKIfKkJIkqU2aaSKRyHyvKAoFBQVtZkABbLbOr8mQk8hBlmWdx+NJ5uJcPUVLARmfXwVHbtJEAZy63M4M7uzgzKBnS3pqfMjQ9oPB2N59Tzjcsy9Fa3dgO3EigU+WEfliE5YRowCofXohoXWrM8fq3AUYBx2X1RgkSaJgzg+o/N395F/8bfJmXJjV+4QDU1WV2gUVJKrjuC4owDo+N/0rO1tLJVCdLo9YvAKtxkI8UU159cOZYyR0mE3HEYxsJBjZiCQZ6d/r59gsI7pw5IIgCEJPN2nSJPR6PV6vl7POOqvVPpvNRlFREWvXrm01o7Ru3bpMsAfp2a0xY8bw4osvsnjxYn76059m9g0bNixdB6Curs1MYK4NHz6cHTt2HDLQ6yw1NTVUVVXRq1cvADZu3IiiKK1+Vh01cOBAFEVh48aNjBs3DoD6+npqa2tbHZefn09dXV3mdX19favXI0aMoL6+Ho1GQ9++fb/xeL6prIJBWZZfAv7P4/G06S0gy/II4FlgXI7HdkxSM1/T31VWAQ7gMINBX3Mw6Mpxj8FdsXKsGisFuuyKhGzzRLDaNPQq1be7v/6fzwBgHjEK89DhADjPOIfAJ8vwffAOkk5H+ItNrQJBAOuEEzu0Ns0ybARlj/4Frd2BpDn6Uxm7mu/NBkKr/JiGWXBfWtzVw8lKKhVk+967iCeq0UhmFDXKvr+BYDKWke84C5OxP2bjcTT43sQbWEqvgiuxmod13cAFQRAEgfTD7cWLFwO0m6549dVX89hjj1FWVsaIESNYvHgxa9as4ZVXXml13CWXXMLdd9+NXq9n+vTpme0DBgxg5syZ3H777cydO5cRI0bg9XpZtWoVffv25ZxzzsnZZ/nRj37EddddR2lpKdOnT0er1WbSVn/+859njotEIq0CJQC9Xn/YLR1MJhNz587l9ttvJxqNcs899zB16tQDpohmY+DAgZx22mncfffd3HfffZhMJhYsWNBmVnXixIk899xzjB07Fq1Wyx/+8AeMxn19uE8++WTGjRvHDTfcwK233srAgQOpr69n2bJlnHzyyUyYMOEbjzEb2UYOJwCbZVm+2uPxZOrcyrJ8K3A/sPqA7xTa1bJmUNM8Q3i4aaK+TpgZDKfCVCdqGGkenlUg1tiQpL4uyfHjLQfsL5gK+AEouX5fuoNx0HEY+w8gtG4NobXt/1FynDqlw+PXOY+9XjBdIbotTP1z1WidWkp+0hdJ2z0LxsQT9eytmY/FNIQC1/nsrPgV8UQ1AIraun3JgN6/xGoe3mpbges8Clztr1sVBEEQhK5wsDTBK664glAoxEMPPURDQwMDBgxg/vz5raqAQrpp+/3338+0adPanO83v/kNCxYs4KGHHqKmpgan08moUaM46aSTcvo5TjvtNJ544gkef/xxnn76abRaLWVlZW2K4rz88su8/PLLrbaNGzeO559//rCu37t3b84//3yuu+46mpqaOOWUU/j1r399WOcEePDBB7nrrru48sorycvLY+bMma1SQAHmzp3LnXfeyRVXXIHb7ea2225jx44dmf2SJLFw4UIeffRRfvGLX9DY2Ijb7WbcuHFcdNFFhz3GQ5EOVCp1f7IsO4DHge8CTwB/bn59EnAv8KDH4zm8xNxOsHbtWrW7LRJ+7x/zKTl5OZ9vKeDVoUEGbi3ju0O2UFZ6JzbLqG983j+UV7HKH+KJoWU4c7Ru8MuIh3srfsMM1zQuL7jskMev/CTAXx6r4dvfc3PezLw2+5NNjez66Q2YR46m9613tNrn/+gDap9Z2Gpb8fU/QV/cC63Vir6wc8vqHmvWrl2bkwXyqWCKPfO+ItmQoPSuto3lu5qiJlHVJIHQGvbW/CmzXZL0qGoCo743A/veTyoVQpI06HX5BzmbkK1c/fkShPaIP19CZ+qJf75qamo4/fTTefbZZ3vcZ4d0D8G3336b1157rdOvtXbtWu6++27OPfdcfvzjH3f69bLV/Oe+3af5WUUNHo/HD1wuy/Ji4O/AtcA2YKLH41l/0De3Q5blG4DbgF7AZuBmj8ez7ODvAlmWTwWWAFs8Hs/Ijl63O2iZYWsJwbUtM4M5SBOVALs2dzODLesFsy0es9XTvF5Qbr/XYfiLTQCZdYH7s006NRMMah1OzMNHYJtwElIOP4/QMaqqUvvXCpL1CfIvKeo2gWCD901qGl5Ep3MQT9Syf+qn2zmdZCqAL/gxLvtkehddhyRp0GoOXNBIEARBEI5FiUQCr9fLI488wrBhR0cVVeHIy3oKSZblfOASwACUkw7kxgIdCgZlWb4U+CNwA/Bx89c3ZVke7vF4yg/yvoTB1aAAACAASURBVDzgH8D7QO+OXLM7UjshTdSh06LJYc+3PfF0Nc7+huwWs27dEkGvl+g/oP1gMLIp3WjeMrJthUaNwYD70u/R9Nqr9L33N+jyxAxOVwt82ERopR/TUAt5Fxd29XAA8AY+oar+7wDEE61TPwtcF1Ds/g4Axe5L0OuKjskeiIIgCIKQjXXr1nHFFVdQVlbGo48+2tXDEbqpbAvInAs8AySBs4FlwK+BhbIsX0i6uEztQU6xv1uAv3k8nr82v/6xLMvTgOuB2w/yvqdIz0pKwLeyvFa3lWkt0bLhMJtX+5JJigztF235pspje9GipZeh5JDHhsMp9pbHGTLUhF7f9gZcVVXCmz9H63Bi6NOv3XO4ps3ANW3G/7N35/FR1efixz9n1kxmsk1WQkI2YECES1AvyuJasUa9ChZtpVQK/m4VFUXbgqKI4gJqudILKILVKtQWKVyqYFkUxVorFXBFxhCWkITsyWSZyWzn/P44yUmGJGQSQkD8vl+vtjNn/U4S0vPk+X6fRzzAnwV8xV4q/qj2E0y+Jw2pkzWgfanRs5/ishXodBb6J91JfeMeIkwDiIlSW460nQJqMn4/itwIgiAIwukyevRonE7nmR7GGXfvvff26ZTNvpiO2pvCjUDeBf4E3O10Ol3N237rcDjeQQ3QvgS6jBgcDocJuAB4/oRd24BOm8g1TytNRi1W82iYYz6ryTo1HNRJ6lJLSep5xUuvLOORlV4tHiMrMkW+Yvqb+mEII1A9+F0TigKDHB1Px/MVFRKsc2G7ZFynwZ4IAvtOsDFI9fpy5PoAtvGxWByRyG4Zg92I4pcp+99jKF6F5LvSMCac2X6CXl8JpZVrqXfvAfRkpDyALXI4MbbeXdwuCIIgCILwQxNuMPhTp9O57sSNTqdzl8Ph+A8g3NxzAqAHyk7YXgb8qP3h4HA4hgOPoa5PDDocjjBvpdqzZ0+3jj/dvD61wlBLa4mWwozf7neiyNU9umYtEpijCbpc7NlT2ivjrNG58EZ5sTZEhvU1/OQjMxCBpC9iz54j7fabPt+DBSiPtFF8ln1PzkkK7Pl0D4ZDOgJZMpyQNLZsNmDar/7xoP4fLm17401+DEUS5iMGfMODOI0H4Ux8u6R6jNZ16PSh/yb87gk4v/VxZgYltHW2/W4Vzi3i50s4ncTPl3A6fd9+vsItINMuEGyzrw6Y3msjasPhcJiBvwC/djqdh3tyjbNtseyObz8B2q4ZVDODw4YNx2zq2VLIfHcTHCoiOzmJC1ISemWc/27YA6Uwst8ILojr+mu47Z0iJKmJH+edj9XaPkN5/OMPaASG/jhPVAY9zQLVfo7MbJ0WYjnfSr/fZKAzq9nnhs/qKN2vLs/V2w0EqwPasda/GUEGYz8T2Q8ORBfR9z0a/YFq8gt/jSy7tW1mY38S7TcTG9XpBAKhD/0Qq/EJfUf8fAmnk/j5Ek6ns/Xn62QBarhrBs/r6hin07k/jEtVAkHUKZ9tJQMdpbT6AUOBVx0Ox6vN23SA5HA4AkCe0+ncFsZ9zzotwWDrzMieT/GsDagP8705TbSwuXhMuimty2MDAYXDBV76p5s6DAQVWcbj3I8hIVEEgqeZoiiULj3WukEHnq8bOXK3k/6PZWGINVCxqgQMEgMW5WBKi8Bf7qOpwIMxwUjJoqPITTLJs9JPayAYlN1I6NDpIlAUmQbPV0Sac1BQKDg2D1l2Ext1GfaYq1EUH5ERQ8U0YkEQBEEQhF4W7jTRr2lbv71jXUYiTqfT53A49qAWoXmrza6rgb92cEoxcGIfgpnNx08EjnR1z7OP+kDb0pSxpbWELPc8kGtpOB/bS/0FAY75igEYEEYl0aJjXnw+hZyBHVcR9R0rRG5sxJp7Ya+NT+jY8ecKaXKqGbXE/04l8nwblW+U0vjvOo799iCWoVaCrgDxP0vGlKZ+v4xJJoxJ6rrAAc8NJNgYxJze8feyN/gDtRQUPYyiBEhPvpcG91dU1v4NSTKjKF4AIkwZpCb9P3SnWFhJEARBEARB6Fy4T1rXdrDNDvwYGA882I17LgHecDgcu4GPgTuBVOAlAIfD8TqA0+n8hdPp9KMGohqHw1EOeJ1OZ8j275sTp4kGgz3PwlT5Ty0zqCgKXsVHhM7M2sp1ROltHPMWEamzEB9Gk+5D+eoDfHYnwaDnwDcAWIYO69H4hJMLuoPU7ahGH2vAvbcegLo7vQy8XP3epdyXzvHnj+L+vAHP/kbMAy3EXt/xdGKD3YjB3rtVaVsEgnUAHCv9HwKBakDiSMlTAOh1UQRldezR1otIT5l9SkWVBEEQBEEQhK6Fu2Zwaye73nQ4HM+jBosbw7zWXxwORzzwCOo00K9Rp3sebT6k474D5xh9Wj2g1zKDwUDPHnwbg0E2VtQAPQ8G36v7kD9WruHJtPm8U/suJsmEX/EzKCInrKl5hwrUZvM5g8wd7vccUGcQWxxDezQ+4eSq3iilbmeN9j51XiYuX+uaQckgkTo3k8Z99bj+XkXC7f2Q9H0z5dLrK6Gk4lWsliFU1W4hKDcCEGMbgz3mGo4efxZZbiSr/6MEgi6q694jLekuEQgKgiAIwlnmoYceon///txzzz1hHV9UVMRVV13F+vXrGT78xIl+HduwYQMLFy5k375utTE/7ZxOJ3fccQdbt24lMjLyTA+nV/XGHKx3gfXAf4d7gtPpXAGs6GTf5V2cuwBYEPbozjrqQ7hkkgE9UVFqNiTg79nDb2lzdVLo+TTRbz0H8CsBNtduRUHB2zxVLz3MgjaHDjYRESGR2r99CwJ1veABDIlJGBPOjsbl55KmfDd1O2vQReqQ3TKx18UTOdzWYbFNa24U1tyoPhlXlWsb1bV/x+svAaDR85W2L8I0gP5J/41OF8F52a+EnGeLDO//LARBEAThXDR16lQGDRrE/PnzQ7afGCQ1NDSwevVqtm3bRlFRETabjZycHG699Vby8vLQ6XRMnTqV3bt3A2r7rvj4eC6++GLmzJlDUlJrDYcnn3ySvXv3kp+fT2JiIu+//367cTmdTnbs2MHOnTtP46c/87xeL5MnT8bpdIYEsQ6Hg5EjR/Lqq69y9913n+FR9q7eCAYvAdxdHiWE0NYM6tX1foEeThP1BGXttU0f/jUKvcdQgAxzOsf9aqePTxo+DTkmnOIxbneQ4yV+HEMt6E5oTO4rKcZbVIjsbsR6wUVhj00IjyIrVLyiBlv9fpOhTvFM6r0pnkHZjU6yhGSHFUVBlt3o9VaavEcJyk1ERgwOOeZ4xetUubZo76MiL0BBxmLOwh7zI/Q6Kzpdx1lkQRAEQRBOrq6ujttuuw2Xy8X999/PiBEjMBqN7NmzhxUrVjBy5EjS0tRnuEmTJvHAAw8gyzLFxcU8/vjjPPzww6xevVq7nqIoTJw4ke+++46PP/64w3uuWbOGCRMmYLPZ+uQznimLFy8mJSUFp9PZbt+kSZN49NFH+dWvfoWhF+t0nGnhVhN9toPNJuA84ErUdYBCN7RU49HrmtcM9nCaaH1QDSaNkoSuG9UWl5Quo0lu4sXMFzjuVwu5+pVAyDEDzF0Xjzlc4EVRIHtg6MO9IssUPty6lNQypMuCtEI31e2oxnukiahLY7EMtfbqtRvc33D0+CKsEUNJTZpBfeM+YqLGUF69nmpXaAFfi3kg8bHXEGMbR717rxYIRtsuxh59JbbIEb06NkEQBEH4IVuyZAlFRUX8/e9/JyUlRduemZnJ9ddfH3KsxWIhMVGdmZWcnMzkyZNZsSJ0ct6jjz4KwCuvvNJhMBgMBnn33XdZtGhRyPZNmzbx+uuvc+jQISIiIrjooouYN28eycknNg1Qffrpp/ziF7/gpZde4oUXXuDQoUMMGjSIJ554gvPPPz/k2E8++YSnnnqKoqIihg8fztNPP016uvpcWlhYyDPPPMOXX35JY2MjWVlZzJo1iyuuuCKcL1+nduzYwaeffsrvf/97Pvzww3b7x44di8vlYvfu3YwZc+60ugo3rJ3awbYm4BhwP83FX4TwteTzDM3BYE+nidY1VxK9q3/4LRv8ip8yfzkKCvOKnsAje0L2JxkSqQxUhZUZPHSweb3gCcVj/KXHQ96LYLB3BGr9KH6F488V4itsQhepI/62lK5PDJM/UE1t/ceUVa0FoMHzJd8dnQ3IHK98rcNzPN6DFJUdpKzqz/gDVQBk9HuIKOt/9Nq4BEEQBOFUlVauwRS1C+eR9staTpcY28WkJPy8164nyzJbtmzhhhtuCAkEW5jNnc+8qa6uZseOHYwY0b0/0jqdTurr69ut+/P7/cyaNYvs7Gxqamp47rnneOCBB1i7du1Jr7d48WItaFy2bBl33nkn27dvx2KxAODz+Vi5ciVPP/00JpOJuXPnsmDBAl55RV1a4na7ufTSS7n//vuJiIhgy5Yt3HvvvWzatImcnBwA5s+fz9tvv33ScWzevJnU1FQASktLWbBgAatXr+70a2gymRg6dOgPMxh0Op39TvdAfihaptO1ZAYN+iCKLBEIdr+gx1GPl3+5GgCI6kbxmEp/FUrzCA55DwMQp4+lJliLWTIxN/VBqgJV2PRdZ5sOHey4kqjnuwMh743xHVevFLoWbAxy/PmjmDMt1O+qQW5snRpsvyUZQ2x4f9Px+SsJBGuIMGUgSQaKypZhtQwjLvpKJEmiomYTZVVvascn2ScTCNZR7WqtHyVJRjJTH6LRc4D4mAlIkonSqj9R7fq7FgimJs4QgaAgCIIgnAY1NTW4XC4t6OnKunXr2LhxI4qi4PF4GDx4cMgU0XCUlJQgSZKWYWzxk5/8RHudnp7OggULyMvLo7S0tMNAtcXMmTMZP348AM888wyXXXYZ77zzDpMnTwYgEAgwf/58srOzAZg+fToPP/wwiqIgSRJDhgxhyJAh2vXuuusudu7cydatW5k5cyYA9913HzNmzDjp52pZNxkMBvn1r3/N9OnTGTJkCEVFRSc9p7i4+KTX/b45dya8fs+0nSYalHUE5K7aOLY3p6C1uXh0N4LBcn9Fu2251hG8X7eLVFM/Uk0ppJq6zjYpikLBwSbsdgNx9tAfpaZ8da519KVXYh0l+gv2RNAdpOLlYhr+pbZkaPq2dWmuLlJH4vRUbGNiwruW3MTh4gX4A5UAGA0J+AOVuBr+icd7kCZfEZ6mfO349JT7ibFdjKIoxEVfjtmUjiy7keUmTMYkrJbWTG9q4jRSEn5OWeVaFCVAXPSPeuPjC4IgCEKvSkn4OcVHhzL8ggvO9FB6TFG697x47bXXatU/KysrWblyJdOmTWP9+vVYreEtMWlqasJgMKDThc5i++abb1i2bBkHDhygtrZW215SUnLSYDA3N1d7bbVaGTx4MAcPHtS2mUwmLRAENQDz+/24XC5iY2Nxu90sW7aMDz74gIqKCgKBAF6vF4fDoZ0THx9PfHx8WJ/vpZdewmg08stf/rLLY81mM16vN6zrfl+EHQw6HA4D8CNgMHBiQznF6XQ+15sDO9dp00QNQRSfnkCw+8FgW1H6bgSDgfbB4G3xtzIkwkGiMfwMXlVlgDpXkAv/s/WXSf0/P6L+X//EW3gEXaSVxGl3IOlEm4CeqPlruRYIApgyItBZdNhvTsLU39ytfoBllWubA0E9ENSCQkkyUVPXWhkso98coqytv6QlScJizgJAp48GfXSH19dJBvol3t6NTycIgiAIwomsViv19fXtttfV1WGz2bDb7URHR1NQUBDW9aKiosjIyAAgIyODp556inHjxrFlyxYtE9eVuLg4/H4/Ho9Hm8rpdruZMWMGY8aM4dlnn8Vut1NTU8OUKVPw+/1dXPHkTizO0jKrTpbVp+fFixfz0UcfMWfOHDIyMrBYLMyZMyfkvt2ZJvqvf/2Lzz77jGHDQvth33rrrVx77bX87ne/07a5XC769w+v2v73RbgFZFKBD4EcWpNaUvNrufl/RTDYDW2/iMGgHn/g1ILB6O4EgydkBn8W/xNseiuXRo/t1j0PFbSfIlr28nLtdeSIXBEI9pC/zEft1moAYm9IwD4xEcmiAwUkXfemFFe7tlNdtx2jIZHstMcJBGpo8HxDlPUCjPpYisqW4W46SFryXSGBoCAIgiAIfSsrK4tdu3ZpUyJb7N+/n6ysLHQ6HXl5eWzatIm77767XQauJWvV2bo3ffPzYlNTU9hjGjpU7RN98OBBbd3goUOHqKmpYfbs2Vphl23btnV6jbY+//xz7Ry3201+fj433XRT2OPZu3cvN910E9dccw2gfubCwkIyMzO1Y7ozTfTpp5/G42mtn1FeXs6MGTN4/vnnGTVqVMg5+fn5TJgwIeyxfh+Emxn8HVAOXAoUAxcBx4GfAzOA6zs/VeiI0txvUIeCLOsI+LsXDAZPmCZg6EaA0BIMXhd7DZtrtzIqcmS37t3i6GH1F0lWjvoLRwmEViONGOxod44Qnqo/l0FAIXlWGlFjYlt3dCMOrK3/J0Vlv9fepyXfg9Fgx2iwY4loXWuQkTqnN4YsCIIgCMIpuu2221i7di0LFy7klltuwWQysWvXLjZv3qxVAZ09eza7d+9m8uTJWmsJk8nEvn37WLVqFStXrtRaS3g8Hioq1Oe+qqoqVqxYgdlsZuzY1gTA0aNHcbvdlJeX4/P5+PbbbwHIycnBZDJht9sZNmwYe/bs0YLB1NRUTCYTa9euZcqUKRQUFLB06dKwPuOLL76I3W4nKSmJ5cuXYzQa21VBPZnMzEy2b9/OVVddhcFgYPny5e2mbnZnmmhLYNqipal8enp6SLBdVFREWVlZyNfuXBBuMDgemAWUNb/XO53OEuBZh8NhBP4X+PFpGN85q2WaqATIsg65m5nBxjb9BburIlCJUTIyJf5WJtsnEdHDnm9HD6v/8AZkqOd7C4+G7I/IHtjjMf6QNR320PCJC3O2Bdsl4a0JbFHt2kFJxWr0ERdSVPaZtr1/0kysFhGcC4IgCMLZLD09nTVr1rB06VKmT5+O1+slOzubpUuXctlllwEQGxvLunXrWL16NatWraK4uBibzcbAgQOZOXOmViET1Gb1GzZsACAmJgaHw8HLL78csibvkUce0ZrTA1qW7r333tOCyltuuYW33nqLadOmAWC321m8eDFLlixh7dq1OBwO5s6dyx133NHlZ3zwwQdZtGgRhw8fZtCgQbz00ktaABaOuXPnMm/ePKZMmUJ0dDS33357n6zj27x5M2PHjv1hThMFYoAKp9MpOxyOOqBtH4NPgLm9PrJzXNtporKsQ+lmMNjQ3F+wO2oDtWxzvU+Rr4QkQyI6SUeE1LNAUFEUjh72kphkwGprnnJQoBYgifuvSegirViGDjvZJYROVP9Z/ZtL/M+SQ6aInEwgWI8seyipUCuEGcxqIBgZMYR+ib/EYs44PYMVBEEQBKFXjRgxQmuj0JmoqChmz57N7NmzOz3mjTfeCOt+4Rw3ceJEXn75ZT777DMuvFAtDJiXl0deXl7IcW2btaelpXXYvD03N7fT9XyTJk1i0qRJIdtGjx4dcp3+/fvz2muvhRzT1ZTQ7uho3D6fjzfffDNk/eC5Itxg8DDQ0l7iW2AK8E7z+xuAml4e17nrhNYSEqDIOvzdnCbaNjM4NSW8NPiq8tfY4/4cgKRuFIrpSHVVgPp6GcdQi7atJRiMGjMOU0pqZ6cKJ+H+pgH3Fw1YzrcSOdwW1jmepsMUFD2kvU+Mm0hZxafExg4gPfm+sANKQRAEQRCEjpjNZhYvXhxSNfSHpLi4mDvvvJMLvseVaDsTbjD4d9RpoOuAZ4ANDodjPOAHBgCPnJ7hnfskQFGkbq8ZbMkM/iw5nusS4sI6pzrYGrMn6hNQAgEkQ8+6ixw9oqbjM7LUzGLNlrdp+NfHABiTRVvKnlAURV0riJoVDIcs+zhcvEB7bzEPJMk+maIjAxkw5Nz7hSUIgiAIwplx0UUXnekhnDFZWVlkZWWd6WGcFuE2nf9tm9d/czgclwGTAAuw3el0bjxN4ztnnThNtLvVRBuaM4M2ffjVOiN1rfOxxz/8dwqCW8h++XV0JlO37g2t6wVbgsGqdWu1fSIT1TONe+rx5nvQj6xFN8ANqN8vr6+UusZPiY+5Bp0uAn+glqMli7BFDscXqEBWvOh1UaSnzCLCnIkkiQqugiAIgiCcXU6c7imcHToNBh0Ox3xgdXOhmBBOp/Nj4OPTObBzV8fTRHuaGbR1o6VEVUBtVZBeJCM1B5NNB51EnqdWhmr88nNcO7Ziv3ESgdoabBf8Z6fX0jKDmeaQKqIps37drc/xQ6MEZGo3VxE5woY5y0KwPoD7iwZso6OperMURZJxX/Ym3x2tol/idOzRP6Ko7Pd4vIeob9zHgH6/prx6HU2+IzT5jgCgk8wMzngBvT685rGCIAiCIAiCACfPDD6GOj20XTAonLoTM4OB7mYGAy3BYHhZoHJ/BaV+dQrihftai8949n+jBYPHlywCwP3lPgAynvs9xsQkOnL0sJc4u56YWAO1O7aqY7l4LLZRF3brc/zQ1L1fQ9WbZdT8XwWp87Oofqsc9956ypap+4OjvkRJrALgeMUfaHR/jcd7CJ3OirvpAAcOq1W6zMb+6HQWPN6DpCTeLgJBQRAEQRAEodtOFkmIuX6nUUhmUJHw+XpWQCbczODjxc9or69IvUZ77f72G3wlxfirKtvfY++/O7yWqzZATXWQAZnqFNHqv/4FAFM/UTTmRPXuL2hwfw2oWcGaTZVggGBTkKInnLj31occH7hyF47MFQwa8DsM+jjqGncjoScn7Ulioy7VjktJ+AXZaU8wJHMl9ugr+/QzCYIgCIIgCOeGnlUPEXpM6qCaqCzruh0MtkwTtXaRGawL1vF6xZvaFNH+xlTkSvW1ISERb0E+hQ8/2PE99vyb2Guua7e9ZYpoZvN6QX1MLLLHTdz1N3XrM5xLgrIHvc4Sss0fqKaw5FkUZPrJ96PsHUCgyo/+0mM0xX+OceMNAPim/AX9P0cjO/JJyr4Go8EOQFb/RzlW9ntibJdgNvWjf9JdJMffBsjaMQZD9/oQCoIgCIIgCEKLroLBnzkcjnFhXEdxOp3/0xsD+iFSZB0+b/eayGsFZAwnzwxuqH6bfzR8or1/tP8c6iufBYOBqEvGUfN257V/mvKdBOpcGKJDA47CNpVE5aYm/GXHiXAMRerG+sXvO0VRcDcdwGLOwd30HUdKngRAQs/AAc+j00VQWbsZhSC4I6l+3ojkU6d/Nl78VwxxBrB+hL+qCXloPvJQtS1HfOyvtHuYTakMTF+kvZckCaMhtg8/pSAIgiAIgnAu6yoYvC/M6yiACAa7ISQz2INpog3BIAYJzF1U7vzS/ZX2OtGQQKwhhprKCozxCVjOO79dMJg47Q4qXluNZch5eA7sp3HfHmIuU6chyh436HQcOdxaPKb8D8tBUYjIzO7W+L/vyqvXUVGzEbMpHb2udb2eQpD8wtYGsHqdjbj999HgU79PgXH/hOgGkuPvJOraCzlSvJCgDwamP4vZlIokiWS9IAiCIAiC0De6evK82Ol07u6TkfxAKJ00nfd5u99awqbXd9nGocRfqr22G+KQvU0E6+swDcjAMnBwu+NjLv8RUWMuJVhbw9Hf3kfjnn9rweCxhY+ij7QSPH4pMbZ0pH9toWH3vwAwZ56bvVfaCgRqMRhiKa9eT0WNGkR7fccAiDANINo2mgb3F7ibvtPOSYr6Ka73DEiRAZrueYn4AZeTELcag15tKD9wwGIURRbtIARBEARBOKs99NBD9O/fn3vuuSes44uKirjqqqtYv349w4cPD+ucDRs2sHDhQvbt23cqQ+11TqeTO+64g61btxIZGdn1Cd8jIg3Rx3TND/3tC8h0b5poYzBIjMFAftNBinwlXBF9KX+oeIMUYzJ5sRM6PMcrewlUqVMVjfGJSEajts9y/gjsN0xUx2gyoUtKxpQ+APf+r5A9bmS/H39JMX7gOtRgp3p967UjOggsv69k2Ue1aytR1lGYTf0BaHB/xZGSp0KOs8dMwOsrotGzn+T4nxFlzSUx7kbqGvdg0EchSUZ8H9iR648TNzGJuJH/g07XvqejCAQFQRAEQQCYOnUqgwYNYv78+SHbTwySGhoaWL16Ndu2baOoqAibzUZOTg633noreXl56HQ6pk6dyu7dak5HkiTi4+O5+OKLmTNnDklJrdXin3zySfbu3Ut+fj6JiYm8//777cbldDrZsWMHO3fuPI2f/sx58cUX+fDDDzlw4AAej6ddP0SHw8HIkSN59dVXufvuu8/QKE8P8RTa15oTed0pIFNZ4eeD91woinqMrCg0BGWseh3rqjaysvwPVAdq2OZ6jy21W7XzmmRvyHVkZBr2qL8UDAmJAKT+9hFsl4wj9b7fYHEMDTneOuoiCAQ48sA9NDm/7XR8/R96rNMWFN9H+YUPUlq1lvzCB6lvVH/pVtZuCTkmynoR/RJ+QUa/ueSkLybKmguAJBmIsY3GajkPi3EgtZsrkYwSMT+O7zAQFARBEARB6I66ujp++tOf8te//pUZM2bw17/+lT/96U/cdNNNrFixgpKS1q5wkyZN4h//+Acffvgh//u//8vBgwd5+OGHQ66nKAoTJ07kpps6LwS4Zs0aJkyYgM1mO22f60zy+XxMmDCB22+/vdNjJk2axJtvvkmgTX/tc4EIBvvaCZlBaA4GTzJN9JnHi3ltVQWf73ED4JFlFNQeg/VBtTXBfs8BACoDVTQEGwGoCdQAkBs5guGWYfwqaYbWBsJgV6tRRp53Pim/uickS9jC9p8Xq+PzuCld/kKHYzMmJbcLIr/PAoFa/IEK7X1h6RLqG/fS4P6cCHMW8THXYjKm0D/pV0iSAZ3OhMWc0eG1Gj5xEajwE31FHIYYkYQXBEEQBOHULVmyhKKiIt566y1uvvlmBg0aRGZmJjfffDMbN24kVqcQgQAAIABJREFUMTFRO9ZisZCYmEhycjKjRo1i8uTJ7N+/P+R6jz76KFOnTiUzM7PD+wWDQd59912uuOKKkO2bNm3i5ptvJjc3l0suuYRZs2ZRVlbW6bg//fRTHA4HO3fu5MYbb2T48OFMmjSJr7/+ut2xn3zyCddffz0jR45k6tSpHDt2TNtXWFjIXXfdxdixYxk5ciQTJ0485Yzlfffdx/Tp0xk6tPNn2rFjx+JyubRs67mi0ydUp9MpAsXToKPWEoqsO+k00apK9S8QpaU+wEp9QD3WqtdzNKAGft96WtPZR72FDIscSk2wFoBMcwa3xt+MIssUNB9jiI3rcqzm/unttpX3u4S6oioGXj4UPn4b+6RburzO90lN/UcA9EuYhkEfw7GypRw9/iwA8TE/Ji76MvrR+V+NWiiKQs3blSBB7HUJp3XMgiAIgiB0bU3ln9kV9TGmI3/qs3tebLuInyf8tNeuJ8syW7Zs4YYbbiAlJaXdfrPZ3Om51dXV7NixgxEjRnTrnk6nk/r6+nbr/vx+P7NmzSI7O5uamhqee+45HnjgAdauXXvS6y1evJh58+aRnJzMsmXLuPPOO9m+fTsWi9qiy+fzsXLlSp5++mlMJhNz585lwYIFvPLKKwC43W4uvfRS7r//fiIiItiyZQv33nsvmzZtIicnB4D58+fz9ttvn3QcmzdvJjU1/B7ZJpOJoUOHsnv3bsaMGRP2eWc7ka7oa9r6MEn773Cbzrsb1SDQLbf2GGzwqsFgS2YQ4KivORgMqMFgXHM7gqCrVjvGMiy8hbxZy1+h7OVluL/YB3o9/7DcxH6/n5emZGO+fTKS4ez/EVIUGa/vGF5/KT5/Gfboq9DrrR0cp1BTtxNJMhIbNQ693obXX0J59VsAxNguOel9ZK9M5ZpSrLlReA978B1twjYmBmOymB4qCIIgCMKpq6mpweVyaUFPV9atW8fGjRtRFAWPx8PgwYNZvXp1t+5ZUlKCJEkhGUeAn/zkJ9rr9PR0FixYQF5eHqWlpR0Gqi1mzpzJ+PHjAXjmmWe47LLLeOedd5g8eTIAgUCA+fPnk52tVqqfPn06Dz/8MIqiIEkSQ4YMYciQIdr17rrrLnbu3MnWrVuZOXMmoGb6ZsyYcdLP1XbdZLiSkpIoLi7u9nlns7P/Sf4cI7VbM6g0TxPtODP4t43V2mstGGzuMRihgyalCYDjbaqGHvEWAvCnqnUAxOrVPoFVzVNETf3TuqxC2kJvtRI/+TbcX+zDmNKPY8eCJCUbiYjQcbbPMvYHqgjKHuobPqOs+s/adlfDJ+SkPdWucEt+4Wx8/lJibGPQN1f7TLLfTIztEiTJ1OWav/oPa6jbXk3d9tbvWdwNIisoCIIgCGeDnyf8lKFHB3HBBRec6aH0WEv9iHBde+21WvXPyspKVq5cybRp01i/fj1Wa/s/jHekqakJg8GAThf63PTNN9+wbNkyDhw4QG1ta8KhpKTkpMFgbm6u9tpqtTJ48GAOHjyobTOZTFogCGoA5vf7cblcxMbG4na7WbZsGR988AEVFRUEAgG8Xi8Oh0M7Jz4+nvj4+LA+X3eYzWa8Xm/XB36PiGCwj0k69Uve9p+yIuvwdpAZLC/1s+EvrYFFfb2aEWwJBg1SsMN77Kr/mPFRY6kKqOdam/vgeY8eBsAyZFi3xmxOS8c+6Vb8MSnUvygzaIilW+f3lKLIHC1ZRIQ5g5SEKd08V6Hg2MMEgi4kKXQ9ZJP3MBU1G0iyt/5FKxCsw9ccUNtjQquxmk1dTyFQZIXad6vAIEFA/V5GjYvBnNU3XytBEARBEL7/rFYr9fX17bbX1dVhs9mw2+1ER0dTUFDQwdntRUVFkZGh1jbIyMjgqaeeYty4cWzZskXLxHUlLi4Ov9+Px+PRpnK63W5mzJjBmDFjePbZZ7Hb7dTU1DBlyhT8fn+Yn7ZjhhNmnbUkMGRZff5dvHgxH330EXPmzCEjIwOLxcKcOXNC7ns6pokCuFwu+vfv361zznYiGOxjLfk4JeS9Dr9P0dLfLWQ5NECsqVbXDrqb/zHoJF+76+vREyTIUyXPokOHjMx5FjWVbkzuh+9YIXHX39jtcdv/ayJff+kGSkhL75tpj03eozR4vqTB8yUmYxL2mKvDPrekYhWBoAsARfETZb2IASkPEAy6KCh6hPLq9ZRXb6Bf4jTs0VdxuHghADG2MVgtQ052aY3sCSKZdTTurqP0BXVhc9TlscT9VyKyVyZCBIKCIAiCIHRDVlYWu3btavdMuH//frKystDpdOTl5bFp0ybuvvvudhm4lqxVZ2sH9Xo9oGb7wtVSVOXgwYPausFDhw5RU1PD7NmzSU9Xa0xs27YtrOt9/vnn2jlut5v8/PyTVjI90d69e7npppu45pprAPUzFxYWhhTAOV3TRPPz85kwoeMWbt9XIhjsa/r2fQYlnYSigN+vYDK1/sM/MVtYXRVgX+OXvF6xFxgHtE9TD4rI4UBz03MZmWxzlvbLJFBTDXo9+pjYHg39WKF6v7QBnS9O7k0N7i+01yUVr9Do2U9a8r1d9uWra9xDTZ3aI8egjyMQrCEuajySJGEwxDIg5QEKih4GZI5X/IHjFX/Qzu2XOK3LcSmKQvnKYuo/qG23L/baeEypffP1EQRBEATh3HLbbbexdu1aFi5cyC233ILJZGLXrl1s3ryZFStWADB79mx2797N5MmTuf/++xkxYgQmk4l9+/axatUqVq5cSVpaGgAej4eKCrVKelVVFStWrMBsNjN27FjtnkePHsXtdlNeXo7P5+Pbb9V2Yjk5OZhMJux2O8OGDWPPnj1aMJiamorJZGLt2rVMmTKFgoICli5dGtZnfPHFF7Hb7SQlJbF8+XKMRiPXX3992F+jzMxMtm/fzlVXXYXBYGD58uXtpm52d5poSUkJLpdLWw/Y8jUYMGCANp22qKiIsrKykK/duUAEg33sxLV6EqCT1L/S+HwKpjZJtxPXEdbWBFhc/D8QVBfdKpL6V510UxrHfEUADIoYqAWDAHHN6wUBAtVVGGLjkHQ9W+tXVKhmItMH9E1msMHzJSARFTmKevceXA2fYNDH0i+xtZqnLHtRFL+2xs8fqKLw+HPafkfmCry+IsymNG2bJSKbwRnLOFy8AH+gUttuj/4RBn10l+OqeOV4u0DQlBlBws+SMWeIbKAgCIIgCD2Tnp7OmjVrWLp0KdOnT8fr9ZKdnc3SpUu57LLLAIiNjWXdunWsXr2aVatWUVxcjM1mY+DAgcycOTNk6uOGDRvYsGEDADExMTgcDl5++eWQNXmPPPJISLuElizde++9pwWVt9xyC2+99RbTpk0DwG63s3jxYpYsWcLatWtxOBzMnTuXO+64o8vP+OCDD7Jo0SIOHz7MoEGDeOmll4iMjAz7azR37lzmzZvHlClTiI6O5vbbbz/ldXy///3v2bhxo/a+5Wvw+uuvM3r0aECdVjp27FgxTVQ4NTqdGviFZgabg0GvAm16eXpP6D0YDAKNVohQM08+pQ4AR8QgLRg8z+Lg7TYN0mObK4kqwSDB2hoiBg3u8diLjvkwGiWSU9r3JOwNihLgm4Kfh2zT66xkpP6Gqtp3OV75R6pc7xIbfTkRpgF8U/CzNkfqgNDg+bzs15EkiQhz+xYZJmMCgzN+jz9QzcHC32AyJdMv8ZddjjFQ5afufXUtpm1cDDqjjqYCDymz0kVGUBAEQRCEUzZixAitjUJnoqKimD17NrNnz+70mDfeeCOs+4Vz3MSJE3n55Zf57LPPuPDCCwHIy8sjLy8v5Dins7XVWVpaWsj7Frm5uZ2u55s0aRKTJk0K2TZ69OiQ6/Tv35/XXnst5JiupoR2ZdGiRSxatKjT/T6fjzfffJPf/e53p3Sfs5EIBvuarn2fQV3ztMcTew121HtQckWhNAeDX7j/DcAQyyB21KnNNkdGjuAXCbfxeqXaQ6elkmigtgYUBYO9Z5WVZFmhpMhHapoJnS68SqTddeDwne22xUZfDkB87LWYjKkcPf4MBcfmdDTCkHdDsl7usvqnJOkwGRM4L+fVsMbXdNBN0SOH1HHdmEDCzzqvlCUIgiAIgnCuMJvNLF68OKRq6A9JcXExd9555/e6Em1nRDDYx3RSaDVRCdDpW4LB0ExgR70HJVc0SlIEAKUBtYWE3WBnuGUYUXobkiSRFzuBTxp2k990UOsx6DmwHwB9VEy7a4ajvNSP36+ctuIxXn8pQbkhZFu09SJS4luzf1HW/yA2ajy1zY3hAeKir0RRgtTWf6htM5vSwpru2V2ura2VXWOusvf69QVBEARBEM5WF1100ZkewhmTlZVFVlbWmR7GaSGCwT7WUe0TvTZN9ITMoLeDYLA2BlAzgx65FiSw6azM6/+bkOMGmrPIbzqoTRMtX6UuOvYd71mjzJISdb1gv/69Hwwqikz+0fsBiDBnMTD9mU6P7ZcwTQsG01PuJ8Z2MYoiY4/5ERbzwLD7J3ZXsCFIw79cGJNNpD2ZjT5K/NMRBEEQBEEI14nTPYWzg3ii7WM6XQeZwbZrBtvoqBG9VBOLkSj8+EBS91v17ZuGXhurlr0dYRmG7G0tH5xw68/bHRuOkmK1d0tq/95fL1hb/w/tdb+EaSc9Vq+3cv7AP4dskyQdkRGDen1cbdX/oxbFrxB9VZwIBAVBEARBEIRzQs/KSgo9p2+/ZlBvUL8NTSdmBv2tweHoMWplGakmDoNkRWrTY9Cmax8MJhkTuT1xCiadCd+xY9p2c/qAHg37eLF6v9TU3s8MVtSoVa7sMROwWhy9fv1TpciKWjRGD1GXxp3p4QiCIAiCIAhCrxApjj4mdZAZNLQ0APWcmBlU3989O4VRF1r54osG3NWxBGUDBsmHH9ChwySdPEAL1qvN12OuyTvpcSdTUuzDYIDE5N7NDCqKjM9fCnSdFexriqJQvb6cmr+q/Xmso6MxxIp/MoIgCIIgCMK5QTzZ9jF9B9VEDYaWYPDENYPqe7vdgF/yEZMg4ymOxScbsBnBj9pYvqt1chVr/whARGb2SY/rjKIoHC/xkZxiQq/v+Zo8WfZxqGg+Tb4j7fbp9dFdNpPva4176rVAECDmalE0RhAEQRAEQTh3nF1P3z8AOn37PoMGY3Mw2NTxNNEKSpl26Fe4Yo4hBYwoDRK25uu0CDY2IPt8dCRQqQY0Oqutw/1dqakO0uRR6HeK6wWLy1/uMBAE6J/036d07VPl/qaBht2ukG1Vb5Rqr9MX5xB5fs++foIgCIIgCIJwNhKZwT7W0mC+LWNzMOhplxlUg8H84LdggIbYIgxkINVAVLKJ482HK4EAhXMfIPI/ckm+4y7t/MbP91L99kbtvTkjs0djLmlZL3gKlUQPHptLk/dIh/uS7D8h2nphj6/dE4qiUPLkEXwlXoI1AW17zIRG4m9Lpinfg7/Mh95uIGvFkD4dmyAIgiAIgiD0BZEZ7GMdZQaNhtbMYG2glrWVf8En+7Rpopvdm9Vz4tRGn1INxBhaA7NgnYtgfR3ur75AUVrXHR5/4Vm8BfkA2EaPwRAT26MxHz/FYPDrgz8NCQTPH/jnkP8k2X/So+ueiqZv3Xi+aQwJBAFc26o5NO1bSp46AoD9psQ+H5sgCIIgCMLZ5qGHHmLZsmVhH19UVITD4eCrr74K+5wNGzaQm5vbk+GddXw+H5dffnm3Pv+ZIDKDfUyn0yNzQjBoal0zuLxsFV95viGgBPD5r1QPMqoBi2KvUa9RCynGWG6MvI7hkcMIVqrN2oOuWoI11Rjs8SHtJACMiT0Paloyg+H0GAzKbnRShLb+71DRYyH7B6T8usfj6C2yJ0jxE4e193q7gbjrEogYYqVoXoG2XYrQES3WCQqCIAiC0EemTp3KoEGDmD9/fsj2DRs2sHDhQvbt2wdAQ0MDq1evZtu2bRQVFWGz2cjJyeHWW28lLy8PnU7H1KlT2b17NwCSJBEfH8/FF1/MnDlzSEpK0q795JNPsnfvXvLz80lMTOT9999vNy6n08mOHTvYuXPnafz0Z47L5eLJJ5/UPvuVV17Jo48+SnR0dKfnzJ07l40bN4ZsGzhwIJs3q0kck8nEjBkzeP755/njH/94+gZ/ikQw2McMej0+TggGtTWDCvXBegDK/OXoWlpNGNUef20zg5EojH/fT8zl8fgbWoucNB0uwGaPp3TF70Puq4/peUuEkmIfkgT9Uk++ZjAQrOPA4da1fwPTn8PdpDYXNRjsDMlc0eMx9JZgXYDD/31Ae5+zZhjo0Yrw5PxpGJWvHce1vZq0hdmnrYm9IAiCIAhCT9TV1XHbbbfhcrm4//77GTFiBEajkT179rBixQpGjhxJWloaAJMmTeKBBx5AlmWKi4t5/PHHefjhh1m9erV2PUVRmDhxIt999x0ff/xxh/dcs2YNEyZMwGY7N+snPPjggxw/flz7ujzyyCP89re/5aWXXjrpeWPGjOHZZ5/V3u/fvz9k/w033MDixYvJz89n0KDT2xO7p8Q00T4m6VtaS7QGGaY2mUGLzgKAR27C51WQJEAfVM+JcaHoZKQaGPrMI9Ru+RuFj/wWuaFBu1bToQKaDhXg/mLvCXdW6KnjJX4SEg2YTCf/cWkbCAIcPPYb7fWZDgQVRcH9VUNIIJi+KAfJIIUEfJJOInF6KgPfPB9zesSZGKogCIIgCEKnlixZQlFREW+99RY333wzgwYNIjMzk5tvvpmNGzeS2GY2mMViITExkeTkZEaNGsXkyZPbBSyPPvooU6dOJTMzs8P7BYNB3n33Xa644oqQ7Zs2beLmm28mNzeXSy65hFmzZlFWVtbpuD/99FMcDgc7d+7kxhtvZPjw4UyaNImvv/663bGffPIJ119/PSNHjmTq1Kkca9Mzu7CwkLvuuouxY8cycuRIJk6ceEoZy4KCAj766COeeOIJcnNzyc3N5fHHH2fnzp0cOnTopOeaTCYSExO1/5wYLMfGxjJq1CjeeeedHo/vdBOZwT6mN7TtM6horSUkSV0zGNkcDLplNxa/gmz0ocWNegUlzo1UZcOAWvlS8XkJNtRr1/ceLqB28ybtfczVP6buw/ex5vasQEtDQ5A6V5Ahw+qpdh2k0fMtiXH/RWXtZry+YrLTHkeSDJRX/7XTayTGTezRvXuLr8RL4QP5Idsylg7GmNzzgjiCIAiCIHy/rCmtZJcpCpPzSJ/d8+IYGz9PSei168myzJYtW7jhhhtISUlpt99sNnd6bnV1NTt27GDEiBHduqfT6aS+vp7hw4eHbPf7/cyaNYvs7Gxqamp47rnneOCBB1i7du1Jr7d48WLmzZtHcnIyy5Yt484772T79u1YLOozsM/nY+XKlTz99NOYTCbmzp3LggULeOWVVwBwu91ceuml3H///URERLBlyxbuvfdeNm3aRE5ODgDz58/n7bffPuk4Nm/eTGpqKvv27SMyMpJRo0Zp+y644AIiIyPZt28f2dmdt2bbs2cPl1xyCdHR0Vx00UVceeWV7Y4ZMWIE//73v086ljNJBIN9TNK1ZtdaYjxJ0hFh0dHkkYnRgkEPeq+sTRFtoSS60VdZoE3S6sRgsK3EKdNInDKtx+NtKR5ji/2Ckoq/A+BqaJ1CUHDsEbLTnqC8+i0ADPo4hmS9iD9QjfPITACS42/t8f1PVfX6cqrXl4dsS3lwgAgEBUEQBEH43qmpqcHlcmlBT1fWrVvHxo0bURQFj8fD4MGDQ6aIhqOkpARJkkIyjgA/+UlrAcD09HQWLFhAXl4epaWlHQaqLWbOnMn48eMBeOaZZ7jssst45513mDx5MgCBQID58+drQdj06dN5+OGHURQFSZIYMmQIQ4a0Vnq/66672LlzJ1u3bmXmTPXZ87777mPGjBkn/Vwt6yYrKyux2+2hM8UkCbvdTmVlZafnjx8/nquvvpq0tDSKi4t54YUX+OSTTxg3bhwmU+tzZlJSEsXFxScdy5kkgsE+ZjCYQFYzg1owqNNhidDR1CRj1ql/0fHIHkxeRQsGTZIJn+JDifcSL4X+YFZvWAeAsV8q/uMl2vacV9885fEeK6wGwJ5Y0eH+Jt8R9h/6hfbe0Twd1Giwc172a0jSmQ26XNurtNeJd6QS4YgU0z8FQRAE4Qfo5ykJDC0+ygXDLzjTQ+mxtlXjw3Httddyzz33AGrQs3LlSqZNm8b69euxWq1hXaOpqQmDwYBOF7pc6JtvvmHZsmUcOHCA2tpabXtJSclJg8G21UKtViuDBw/m4MGD2jaTyRSSjUtKSsLv9+NyuYiNjcXtdrNs2TI++OADKioqCAQCeL1eHA6Hdk58fDzx8fFhfb6euu6667TXDoeDYcOGccUVV/DBBx8wYcIEbV9ERARNTU0dXeKsIILBPqaTWltLtGYGZSIsEnV1QYKKuj7QIzcR6VdQTGol0UidBV/Qh5zoY6zhXx1eO/K84bjaBIO9UfykuLgCsBEXX0VkxBCirLmUValBptVyHo2e1nnn/RJ+GXJPne7MBV2KX8Z7pImgK0hkbhSpczLO2FgEQRAEQRDCYbVaqa+vb7e9rq4Om82G3W4nOjqagoKCDs5uLyoqiowM9RkoIyODp556inHjxrFlyxYtE9eVuLg4/H4/Ho9Hm8rpdruZMWOGVkDFbrdTU1PDlClT8Pv9XVzx5AyG0PCk5dlSltXCiosXL+ajjz5izpw5ZGRkYLFYmDNnTsh9uzNNNCEhgerqai3zCGrQXV1dTUJC+FN8k5OTsdvtHDlyJGR7bW0tdvvZW51eBIN9zGA2glt93Ro2yURE6Cgv8+NX1B/kIEEam3xgVd9fYvtP3nVtR0kIUiSnM1z/BYb4BAJVrVnCqLHjcb23FQDLkPN6ND6vvxSdZMJoUH9oCwuPAsMYft5PSes/Ur1P5CiCspvIiMEcK1tKXYManMbHXtOje/aGgz9VFx8PeGEQxmQTBVNbg1Tbf3ZeFlgQBEEQBOFskZWVxa5du0ICE1CrVGZlZaHT6cjLy2PTpk3cfffd7TJwXq8X6HztoF7fUsE+/EzV0KFDATh48KC2bvDQoUPU1NQwe/Zs0tPTAdi2bVtY1/v888+1c9xuN/n5+dx0001hj2fv3r3cdNNNXHON+tzp9XopLCwMKYDTnWmiubm5uN1u9u3bp60b3LdvH263u1s9D6urq6murg5p2wGQn5/Peef17Lm8L4hgsI/pdKFN51UyERYdgQB8XLtb/a4oEPBJWHUu5j/ZRMx/GSgaPYyipFiMqGvg4m6YSMVrq7SrmAdkaq+T/t/MHo3vcPET6CQTgwYsQVZ81FTFYzR5SUhI1o6JMKdrr9OTZ+GOuZbIiME9ul9PKYpC/Ye1WIZa8RW1/kIrefoIgcrQv0hZL4jq07EJgiAIgiD0xG233cbatWtZuHAht9xyCyaTiV27drF582ZWrFCX4syePZvdu3czefJkrbWEyWRi3759rFq1ipUrV2qtJTweDxUV6lKfqqoqVqxYgdlsZuzYsdo9jx49itvtpry8HJ/Px7fffgtATk4OJpMJu93OsGHD2LNnjxYMpqamYjKZWLt2LVOmTKGgoIClS5eG9RlffPFF7HY7SUlJLF++HKPRyPXXXx/21ygzM5Pt27dz1VVXYTAYWL58uRYEt+jONNGcnBzGjx/PY489xhNPPAHAY489xhVXXKFNVy0rK+P222/nwQcf5Oqrr6axsZFly5YxYcIEEhMTKS4uZsmSJcTExPCjH/0o5Pp79uxh1qxZYX++viaCwT7Wtppoy997FEUm0to8D7spAmxuCOqQFB3XNKrFWlx/28i8SX/maX8xZvOXIIMppZ923djrbkQyGEj9zTwkkwljfPcrVwWDDQQC6hrBBvdXuBr2Uls9GntCJWZTx3/RkCQdVoujw32nU1O+h/KX2i/GDZS3BoKx1ycQNS4GfbT4MRcEQRAE4eyXnp7OmjVrWLp0KdOnT8fr9ZKdnc3SpUu57LLLALVdwbp161i9ejWrVq2iuLgYm83GwIEDmTlzJqmpqdr1NmzYwIYNGwCIiYnB4XDw8ssvh6zJe+SRR7Tm9ICWpXvvvfe0oPKWW27hrbfeYtq0aQDY7XYWL17MkiVLWLt2LQ6Hg7lz53LHHXd0+RkffPBBFi1axOHDhxk0aBAvvfQSkZGRYX+N5s6dy7x585gyZQrR0dHcfvvt7YLB7vrd737HwoULtWzilVdeyfz587X9fr+fw4cPa1N49Xo93333Hf/3f/9HfX09iYmJjB49mhkzZoS0l9i3bx/19fX8+Mc/PqXxnU7iKbmPGQxq4/a2wSAEsVrVjKHksaDY3OBXjzvfc1g7yl9RjieoYIrwghv8+tY1eVJzkBk5LLTsb1eafEVI6DGb+tHkaw2ujh5/hnpXNAH/eJJTzGdV8/VArZ/SFwrbbc9Zcx7Hf3cM9756oi6LJX5K8lk1bkEQBEEQhK6MGDFCa6PQmaioKGbPns3s2bM7PeaNN94I637hHDdx4kRefvllPvvsMy68UG1XlpeXR15eXshxTqdTe52WlhbyvkVubm6n6/kmTZrEpEmTQraNHj065Dr9+/fntddeCzmmqymhXYmJieH555/vdP+JnyUiIqLD79GePXtC3r/66qvMmDGDiIizt3ihCAb7mL6DYFBRZKwtmUFP8w9LczDYVtFTjxF/7c2Mdn8CQHmNAWNyCv6yUmSPu93xFeV+vtjXyJVXx6DTtQ+KCo//D3WNnwKQnbaQw8WPheyvqVLT6xkZnfdXOROq/lxGsLq5sE5uFO599eS8cR6SQUfqnAwUWUHq4PMKgiAIgiAI3Wc2m1m8eHFI1VDh5Hw+Hw6HQ8umnq1EMNjHOgwGCWK1tWQGI9R9HQSDwdoarn+ztTdMSYWei2fPofLN14nLu7Hd8Vu31LLj7y6SkoyMyA0tH+zzl2mBIMChoke110n2Wymv/osWDCandN7AtC8osoLn20akGCi3AAAgAElEQVQsDivuL+qp/0D9RWQbF0PKPentjheBoCAIgiAIQu+66KKLzvQQvldMJhN33333mR5Gl0Qw2Mfapom1kCUkM6iW7MXf9bfmaImOS6/rR+rsOR3ur2nOnn2xz90uGDxS8kyn102yTyTJPpGv/1UJ1JLSr31g2pcaPq2jbOkxJKOE4ldL75gGRHQYCAqCIAiCIAhnnxOnewpnB13XhwinQ9tqoooSJLJNZhBAajJiP6G5/ImOFgZPur/Ope7/Yl9jSJPSJl8RPn8pAMnxtxEVOUrbl532pPa6rFQtxpKccmaDwbKlxwC0QBAg5X4RCAqCIAiCIAjCqRCZwTMktOm8HtsJmcHLN8VypfkFACzDhuP55qt21ygs9CLLSofrAaE1GKysCFBS5KN/ujrd82Dhr7VjEmJvgNg8mrzHsERkhZxfVurHYtERFa3v6cc8ZY37WhuvtmQGc9YMQzKIqaCCIAiCIAiCcCpEZvAMUQBkiUPO86mNmMDrtWoWUO8cyH9Ens+V9Xu1Y/VWG/aJk9tdw+dVtOxdR1yugPb6871uZNlLXcO/2xyhR5IkJMnQLhCUZYXyMj/J/YxnrCKnoigcX3wUgKhxMWQud5C5wiECQUEQBEEQBEHoBSIzeIYogCLreO/tKbydXU8DMmZAV9yf2i+PhhwrmUwYk/uFbDt29SPwNhQe8dIv1dTu+j6fTJNHISPTTOFRL1/sbSRj2F0hxzgyl3c6vuqqAAG/ckaniPqKWnvGJN2ZJoJAQRAEQRAEQehFIjN4hrSsfnMrjdQHXSiW1n2NBfGhBweDGNs0mK/NHkTKSLXdQ+HRjpts1tepU0T79TeSMyiC/O+aaGxoLSKTEHsDRkNsp+M7G9YLVv1JXdeY9N+pIhAUBEEQBEEQhF4mgsEzSFIkfHhB8kGb7g1x/uSQ4+o/+Qem5BTtfWRlBQMy1BOOHDp5MBgdrefC0VYUBQ7uP6/1GhGDTjq2suNnNhhUAjLufQ0AWM63nZExCIIgCIIgCMK5TASDZ4hWQEZSAF+bPhOQ0Rg6e9dgt6OztKYOTXW1WG16UvoZOXRQLSJzorrmYDAqWs9Fo9Vgyvn1+ZiMKZiMqURahpx0fGWlPgCS+7Wfgnq6Va8vp+Dn+7X3xqS+H4MgCIIgCILQ6qGHHmLZsmVhH19UVITD4eCrr9oXQezMhg0byM3N7cnwzjo+n4/LL7+8W5//TBDB4Bng5f+zd+fxMZ77/8dfk2WSyIJUErtEcFMVItUFLdVNlTaltNpaSnu0qCrtofal0tLW8rO0Ss9RRc+haG3dfGm1jm45VafobV9TBBFL9sz8/phkZCQhSDLB+/l45PHIfd/Xfd3XTC6Rz3yuBU7hwTnvbOy5wWAeFU5sczkO6dbL5fhcg0YARNb1JTXVRsJh1/vhfGYwiw0cSX6OKjUOcGBPJF8t7U29WpPx8gy6aBuPHXUsPhMWVrqZQbvdzslPjzmPqwytVarPFxEREXGXbt26MW7cuHznLwySzp49y9SpU2nXrh1RUVE0b96cbt26sWrVKmw2m7MuwzAwDIP69evTokULBg8ezLFjx1zqfuONN+jYsSONGjWiTZs2BbbLNE3Wrl1Lz549i+/FliHJycm89tprxMTEEBMTw2uvvcbp06cves/XX39N7969ueOOOzAMg59++snlutVqpXfv3rzzzjsl2fSrpmDQDTblXbfHw+YYJppHyNk/XY5tGY7rNqtjaKgtZ8honXqOPQl370zL94zk5Jxznr9jt6dj3PIHAPE/+3HyRFa+8hdKTMzE189CQGDpdpGEN88vnlNzal38mwSW6vNFREREyrLTp0/z5JNPsnTpUnr37s3SpUtZtGgRsbGxzJo1i4SEBGfZjh078sMPP/Ddd98xffp0du3axbBhw1zqs9vtPPbYY8TGxhb6zAULFvDAAw8QEHB9Tt0ZPHgw27ZtY+7cucydO5dt27bx97///aL3pKSkEB0dzdChQwst06FDB+Lj49m5c2dxN7nYKBh0A5fNIPJkBiM9dvCg10qqZexwKW+tWh2Agy+8wl8hlcludR8Adeo6gsFdO/IHg8eObQegnP85R9kG253X/vPDmXzl87Lb7SQezSQkpHS3lcg4nEbqFsc8wdC/VcVa2ecSd4iIiIjcWCZPnsyhQ4dYsmQJnTp1om7duoSHh9OpUyeWL19OSEiIs6yfnx8hISGEhYXRtGlTOnfuzLZtriPQRo4cSbdu3QgPDy/wednZ2XzxxRfcc889Luc///xzOnXqRHR0NHfeeScDBgzg6NGjhbb7p59+wjAM1q9fz6OPPkqjRo3o2LEjf/zxR76ymzZton379jRp0oRu3bpx8OBB57UDBw7w4osv0qJFC5o0acJjjz3G+vXri/LWFWj37t18//33jBs3jujoaKKjoxk7dizr169nz549hd4XGxtL//79ufvuuwstU6FCBZo2bcqqVauuuH0lTVtLuIFLBO5hB0smntlZdLXOdym3K7surd95CZ+wUACSq9dkcY/+DMv5R16thhVfX0uBmcETJ/8CquGXEwxGhDdhyMgqTBz/Fxu/O83Dj1QoNNA7c8ZGerqdSqGlN0Q06fNETnxy/hdIYKuKpfZsERERuf79a8FxNm4IZJF1X6k9s9kdATz5TKViq89ms7FmzRo6dOhA5cqV81338Sn8g/STJ0+ydu1aoqKiLuuZpmly5swZGjVq5HI+MzOTAQMGULt2bZKSknj77bcZNGgQCxcuvGh9EydOZPjw4YSFhTFjxgxeeOEFvvnmG/xy1sfIyMhg9uzZxMXFYbVaGTp0KGPGjOHDDz8EHBm5u+++m4EDB+Lr68uaNWt46aWX+Pzzz4mMjARg1KhRrFy58qLtWL16NVWrVuW3336jXLlyNG3a1HktJiaGcuXK8dtvv1G7du3Ler8uFBUVxS+//HLpgm6iYNANXEIwi2Mpmab/+2++cucsgfjmBIIAqTljwP08HOGkh4eFiEhftm9N5dzZbKy+yXh5ViQr+xQp5xzbSETW6kK1Kq0AqBYKt90ZwM+bzrJnVzqROZnFCx0/5shdhoaWTvfY9fRWyD6/CE7Ehw2weGorCREREZG8kpKSSE5OdgY9l7J48WKWL1+O3W4nNTWVevXqMXfu3Mt6ZkJCAhaLxSXjCPD44487v69RowZjxoyhXbt2HDlypMBANVffvn256667AHjzzTdp1aoVq1atonPnzgBkZWUxatQoZxDWq1cvhg0bht1ux2KxUL9+ferXP78Q4osvvsj69ev56quv6Nu3LwAvv/wyvXv3vujrCg11/I19/PhxgoODXZIkFouF4OBgjh8/fsn351JCQ0M5fPjwVddTUhQMuoFLZtBiA7sHj65dka/cBo92dMpznJYTDPp6nO+sdQ1HMPjHH3vwrzSSkIqPAR6knLsJD49sqlZ2TV23vDuQnzedZeOG04UGg8dygsGSzAymbD3L2R+SSd1+zjUQ/KA+nv6eJfZcERERuTE9+Uwl6jbYT0xMjLubcsXs9vwryF/MQw89RP/+/QFH0DN79mx69uzJp59+ir+//yXudkhLS8PLywsPD9fZZVu3bmXGjBn8+eefnDp1ynk+ISHhosFg3oVw/P39qVevHrt27XKes1qtLtm40NBQMjMzSU5OpkKFCqSkpDBjxgy+/fZbEhMTycrKIj09HcMwnPfcdNNN3HTTBft2u4mvry9paflH8ZUVbgkGDcPoC7wGVAG2AgNN0/y+kLIdgReAaMAX2AZMME0zf/R0jfAgzz9kix2LveAsmM27nMtxak7Q5JfnH2ODhn6sWJbEls0HufM+SExajofFl9RzL1LOPzPfUNCGUeWoUNGTTRvP0uXpSvj65p82mpsZDAkpmWDQnmUjYfw+l3PW6j7UfOfiex+KiIiIXM/8/f05cyb/2g6nT58mICCA4OBggoKC2L17d5HqCwwMpFYtx8rstWrVYsKECbRs2ZI1a9Y4M3GXUrFiRTIzM0lNTXUO5UxJSaF37940b96cSZMmERwcTFJSEk8//TSZmZmXqPHivLxcw5Pcv2VzV0mdOHEi33//PUOGDKFWrVr4+fkxZMgQl+dezjDRSpUqcfLkSWfmEXJWtz95kkqVrn6I76lTpwgODr7qekpKqS8gYxjGE8A0IA5HgPcf4AvDMGoWcksrYB3wcE75NcBywzDuKoXmlogL5ww++O3mAst5e7v+eJyZQc/z5yPr+uLlbWHHn+cDN5s9jZRz/gSVzz9u3NPTQqs2QaSm2NhUyEIyicccq42GlNC2EgcG78p3ToGgiIiI3OgiIiLYtm1bvgzgtm3biIiIwMPDg3bt2rFy5UqOHDmS7/709HTS09MLrd/T0zH66nIyVQ0aNABwyd7t2bOHpKQkXnnlFZo1a0ZkZCQnT54sUn2bN5//uzclJYWdO3cWedgrwH//+19iY2N58MEHqV+/PpUrV+bAgQMuZV5++WU+++yzi37lDhONjo4mJSWF3377zXn/b7/95lwt9Grt3LmTm2+++arrKSnuyAwOAuaZpjkn5/glwzDaAi8Cr19Y2DTNly84NdYwjIeBWKDAbGJZ5zpM1E70H3vzlUm3++Btdc3qXThnEMBq9aBuPV+2b61CyrlylPNPISvLk4x0X8qX96Mgre8tz6rPkvi/r5NpfW9QvuxhYu4w0ZDi7x4pW8+SedSxemrFjiF4lvciSIvFiIiIiPDUU0+xcOFCxo8fT5cuXbBarWzYsIHVq1cza9YsAF555RV+/vlnOnfuzMCBA4mKisJqtfLbb78xZ84cZs+eTfXqjpXoU1NTSUxMBODEiRPMmjULHx8fWrRo4Xzm/v37SUlJ4dixY2RkZLB9u2MF+sjISKxWK8HBwTRs2JD4+HjnIjJVq1bFarWycOFCnn76aXbv3s20adOK9Brfe+89goODCQ0NZebMmXh7e9O+ffsiv0fh4eF888033HvvvXh5eTFz5sx8AfDlDBONjIzkrrvuYvTo0c49HkePHs0999zjHK569OhRevToweDBg7n//vsBR8bvr7/+cu5HeODAATw8PKhZs6bL/Mr4+HgGDBhQ5NdX2ko1GDQMwwrEABfuvvg10PwyqgoEkoqrXaVtHeczblWyjuKfmv8THDvg7e0apKXZbHhbLHheELw1uMWP7VtT+dfc56ha4yAt7lsLQGBQwXPvKgZ7EdMsgJ9/PMuOP9MwGrgGjYnHMilfwRMfn+JLHB9fcIRTq1wn4d7UJazY6hcRERG51tWoUYMFCxYwbdo0evXqRXp6OrVr12batGm0auVYELBChQosXryYuXPnMmfOHA4fPkxAQAB16tShb9++VK1a1VnfsmXLWLZsGQDly5fHMAw++OADlzl5I0aM4Oeff3Ye5+43+H//93/OoLJLly4sWbLEuel8cHAwEydOZPLkySxcuBDDMBg6dCjPPffcJV/j4MGDeeutt9i7dy9169bl/fffp1y5cpe8L9fQoUMZPnw4Tz/9NEFBQfTo0eOi2dCiePfddxk/frxz0Zk2bdowatQo5/XMzEz27t3rMoR33bp1vP76+TzWiBEjAOjfvz8vvfQS4MgwnjlzhrZt215V+0qS5XInol4NwzCqAoeBVqZpbshzfhTwtGmaRqE3ny/bD3gLuMU0zf0XKxsfH196L+4yvF1+uvP7YROgnD1/qv7jjF6khtbkiW7nnOc+9A4gzWKhX4br8M4jR5JY8nG48/iRrotY8clTRDVNp9W9BQ8DOHzIk2WfBFDHyOChR1Kd5202eG9KEKGVs+n89LkC771cnkcsBHxsdTl35rkMbBXL5I9HRERERPLIyMjg1VdfpW/fvi4reV6Obdu28cYbb/D+++8TFBRUzC0sm6ZOnUp4eLgzwHanmJiYAhcpuaZWEzUMoxPwNvDEpQLBXGVyxag8U+bsFqCAmCjBVo2I8gHExJz/B/fhn3sJsFiIaXT+NdntNrbseAarzzAy0h2rg+7b/hyQQmRkFWJiCp6w2rSpnV83HWT3DqherQ5hlR3BWuKxTGy2/YRHVHB59pU6Nucwp//vfBI3sHUFQp+rhsVLW0eUpPj4+LLZ9+W6oP4lJUn9S0qS+teVmzp1KsnJyVf8/mVlOdakaNy4cZleUOVq5O1fGRkZ3HHHHfTu3Rtf34JX8C/NdhWmtIPB40A2cOH4wDAg/yzYPAzDeByYD3Q3TfPiywNdQ7zs2QWez8bTZc6gzZZBanYGlayunSnp9Ho8PW3UrL2HXdsdk1O3bE4BCh8mCo6VmR5+pCLv/b+jfLHyFD2fz9lrJTFnJdEr3FbCbrez/+UdZB3Lv5JU+Pv18apwTX3+ICIiIiJAs2bN3N2Ea4rVaqVfv37ubsYllepqoqZpZgDxwP0XXLofx6qiBTIMowvwMdDTNM1PS66Fpc/H7ho0rbi3A7/RFBueeOWZM3j81CrS7XbIOozdbsdmy8BmSyMh0bEOT9WarqsowcWDQYBbbw8gNMybH747TdJJx6c1zpVErzAYPLXieIGBYK0Z9RQIioiIiNygbr/9dkzTvG6zgtcqd/x1Phn42DCMn4GNOPYQrAq8D2AYxnwA0zS75xw/iSMQfBXYYBhG7i6WGaZpFm0N22vEqSArP0ffzuYfwSMNPPJsLn88eQM2ovC0n+HoiU84fsp1m8UGjX9nw1dt8fGxkJ7uGHcadIlg0NPTQrsOFZg3N5GvvzjFE09Xcq4kGhJ6+V0jaWUiJz456nIuqE1FQp6vmm/FUhERERERca9SDwZN0/y3YRg3ASNwbDr/B9AuzxzAC/cbfAFHO6fmfOX6Dmhdsq0tXR89UcPxTc7inslns5zXUrJOAWAlI18gCHB7k5ncttCbY0czeX2QI0t4qcwgQItWQXy29CTrvk7mofYVWPtVMnD5mcHTG5I4sfB8IBi5sCEWTwWAIiIiIiJllVvG7ZmmOQuYVci11hc7vp55Z50FwO7vOE5OdswnTM9IICNnOwpvMgq818PDsQBMlarnV+0MKn/pYNDb20L72Ios+OdxVixPIjXFsZdhxeCid43M4xkcm3XYeRw2oIYCQRERERGRMk6TuMqQOyJuZ9np88HgmeRs7PZsdh4YRKbdsXGmtyX/fLzKlbq7HI+eUJ1DBzMICLh0MAiOTei/Wn2KtV86soJ+fh54FjGYyzqZyf7+O5zHEf9ogGe5oj1XRERERETcR8GgG7Xf7xrYZVod+/rZKzqObZYMMrISHddwZPyseTKDFQJbU86vHhUDW7nUExHpS0Rk0Zew9fKy8FiXm/hghmOYZ8vWgZe8x55l4+iMQ5z98bTzXGjfagoERURERESuEQoG3ejC3FtDa2VWAtm3guU41LhtDzv3fwxARk4wWCmwGaStAaB62AvF1pY7mgc4g8Fy5QpfZDbxo784u/EU2addt8So8lpN/GNujA1ERURERESuB6W6tYRc4ILN5mt6+eNLGnhDVgdIrXw+u5dpd8wZDPCuhK81nMo3PV2sTUnflcrrw6sQVtmbW28PKLBM5rEMkr84kS8QrPp6LQWCIiIiItexzMxMHnzwQX755Zci37Ns2TKio6Mv6zlDhw6lT58+l9u8Erdw4UJeeKH4EjFlhYLBMmL5I49w7MQSylnOOs8l5cwThPPDRH09valT8y0qVexQbM8+s/EUh0ftwXPCXl6J9KDi0XSOTD1A+v40l3KnvjjhclyhQyXq/OsWyjW+9LBSEREREbm4bt26MW7cuHznLwyqzp49y9SpU2nXrh1RUVE0b96cbt26sWrVKmw2m7MuwzAwDIP69evTokULBg8ezLFjxwDYunUrhmHw66+/FtiWgQMH8uSTTzqPFy9eTGho6HW5+Xx6ejpDhw6lQ4cONGzYkG7duuUr07lzZ/74449C369rlYaJupEtTyieWDmUrOwk/DnLSSoBcI4AUu1++FlSqVCxCxwDH4/iXaXTnmnj6PRDzuOzG5M5u9GxkEzufMCA5uXJSsokbXsKAGH9q+N/axAevvosQURERKQ0nT59mqeeeork5GQGDhxIVFQU3t7exMfHM2vWLJo0aUL16tUB6NixI4MGDcJms3H48GHGjh3LsGHDmDt3Lg0bNqRBgwYsXbqUW2+91eUZSUlJrF27ljFjxgBgt9uZP38+ffv2Le2XWyqys7OxWq0888wzfPfdd5w5cyZfGavVSocOHZg/f36+9+tapr/m3cieJ66zezjGjAZYXDvfcXsIAJk4hoz6eBTvj+zQyD2XLHP2P8nOQBAg4HYFgiIiIiLuMHnyZA4dOsSSJUvo1KkTdevWJTw8nE6dOrF8+XJCQkKcZf38/AgJCSEsLIymTZvSuXNntm3b5rzeuXNnvvzyS86dO+fyjBUrVmC1WmnXrh0Af/zxB/v37+eee+5xKffOO+/w4IMPEhUVRZs2bZg0aRLp6emFtn369Om0b9+eJUuW0Lp1a6Kioujbty8nT57MV/ajjz7irrvuolmzZrz++uukpqY6r23YsIGnnnqKZs2acdttt9G7d2927959eW9kHuXKlWPcuHE88cQTVK5cudBybdq0Yd26dS5tudYpM+hGeYNBS873TTz/y3ZbI26yHOOEPZTjthBqeBwg2xIEnMT3KjKD2aezSP6/kyR/eYLsZNd5fz6RfoT1r07q1nOc++U01uo+nPv1DJlHXfc1rP5GbSzeCgRFRETk2nJ8wRECN1jZZzVL7ZkBd5Sn0jOFBxeXy2azsWbNGjp06FBg0OLj41PovSdPnmTt2rVERUU5z3Xo0IGJEyeyZs0aOnfu7Dz/6aef0q5dO8qVKwdAfHw8NWvWJCjIdY0IPz8/4uLiCAsLY/fu3YwePRqr1crAgQMLbcfhw4dZsWIFs2bNIjU1lVGjRjFs2DDef/99Z5lff/2VkJAQ5s2bx19//cXAgQMJDw93ziVMTU2lR48eGIZBWloa7733Hi+88AKrV6/GanVMrXr44YdJSEgotB1Vq1Zl9erVhV4vyC233EJ2djabN2/mzjvvvKx7yyoFg25kyxvX5QR5kZ47GejxFiftNzE/43lOezXCCH8e86Rj/PelMoOnv00ifX8aNz0R5pK9S91+jsNj9xZ6X7WREXj4emCt4kP5+4IBqNStCgApW8+SeTSDoHsqYrFoM3kRERERd0hKSiI5OZnIyMgilV+8eDHLly/HbreTmppKvXr1mDt3rvN6UFAQDzzwAEuXLnUGg1u2bGHHjh288cYbznKHDx8mNDQ0X/39+vVzfl+9enX69OnDP/7xj4sGg2lpaUycOJGqVasCMHbsWJ5++mn27dtHeHg4AAEBAYwdOxZPT08iIyNp27YtmzZtcgaDDz74oEudb775JjExMWzZssU5hPODDz4gKyur0HZ4eV1+GOTn50dgYCCHDh26dOFrhIJBN8qbGcRyPnALsJzFE0fm7qxXFN5eFUi3HQcuPmfQbrdz7P3DACR/cYLqE2qTZqZw5odTpO9JK/S+St0rX3TYZ7mGAdCwKK9IREREpGyq9Exl9jc4TExMI3c35YrZ7fZLF8rjoYceon///gAcP36c2bNn07NnTz799FP8/f0Bx1DR7t27s3v3biIjI1m6dCn16tWjcePGznrS09MLzDp++eWXfPTRRxw4cICUlBSys7OdC9gUJiwszBkIAjRu3BgPDw92797tDAbr1KmDp+f5vatDQ0P5/fffnccHDhxg2rRp/P7775w8eRK73Y7NZuOvv/5ylqlWrdplvFNF5+Pjc9GhsNcaBYNulDcYzBvjeXuFUKfqEMrvzuRQumOYZrrN8Y//YpnB02uTXI4PDS94PqBPpB83PRGGLSUbz2Bv/OqVu8JXICIiIiLFxd/fv8DFS06fPk1AQADBwcEEBQUVeX5cYGAgtWrVAqBWrVpMmDCBli1bugwLve2226hVqxZLly5lwIABrF692hlA5qpYsaLLXEOAzZs3M2jQIPr168ddd91FUFAQ69atY+LEiVfy0l1cmLWzWCwugXCfPn2oXLky48aNIywsDE9PTx5++GEyMzOdZUpimChAcnIywcHBl31fWaVg0I3yBoM2Hz/n9xHVRmD1DqOm72H+dy6Vc9nZpOd8yuJjKTgYPPvLaRI/LLzD54pc1BBLMa9IKiIiIiJXLyIigg0bNmC3212m5mzbto2IiAg8PDxo164dn3/+Of369cs3bzA3Y1XY3MHcbFta2vkRYxaLhU6dOjF//nxq165NWloajz76qMt9DRo0YMGCBdhsNjxyEhP//e9/CQsLcxkqerHgK9fRo0f566+/qFLFMR1py5Yt2Gy2Ig99TUpKYs+ePYwePZo77rgDcGyTceGQ0JIYJnrgwAHS09O5+eabL/veskrBoBvlzhlce9d9WLyszvPeXo4x2RF+PvzvXCr7UtNJy8kM5l1Axm63c+a7U6TvTSX5q/OrMPnfGsi5+DMum9r7NihH1aHhCgRFREREyqinnnqKhQsXMn78eLp06YLVamXDhg2sXr2aWbNmAfDKK6/w888/07lzZ+fWElarld9++405c+Ywe/Zs59YSqampJCYmAnDixAlmzZqFj48PLVq0cHlubGws06ZNY9KkSdx3331UrFjR5frtt99Oeno6pmnSoEEDAMLDwzl69CgrVqwgOjqa77//nlWrVl3yNfr6+jJkyBBef/110tLSGDNmDK1bt3YOEb2U8uXLU7FiRZYsWUKVKlU4evQokyZNyhfcXe4w0V27dpGZmUlSUhLnzp1j+/btAM7XC46FbWrUqFHktl4LFAy6UW5m0JJtw8OZ8bM4PwmK8HN8qrM3LZ10uyMzaM35NCYrOYu07eeccwTzChtQA7LsHH3vEH71/Snf7iYt/CIiIiJSxtWoUYMFCxYwbdo0evXqRXp6OrVr12batGm0atUKgAoVKrB48WLmzp3LnDlzOHz4MAEBAchtgtEAACAASURBVNSpU4e+ffu6zMdbtmwZy5YtAxxBlGEYfPDBB9SuXdvluWFhYdx9992sX7/eZVXRXBUrVuSBBx5gxYoVzuCoTZs29O7dm7i4ONLT02nRogUDBgxg7NixF32N1apV4+GHH+aFF14gKSmJFi1aMGHChCK/Rx4eHkyZMoUJEybQvn17atWqxZAhQxgwYECR6yjI3/72Nw4fPv93dWxsLACmeX712dWrV9OlS5erek5ZY7nciajXkvj4eHtMTIy7m5HPk7t6AtA6MZP7ZmezoVlLkm++m/urxWE5FkqD26biYfXgSHoGA3ceoEX5AJKystl2LpVZu4LIPJLBmW9PFVh39fG18a2rOYA3uvj4eMpi35frg/qXlCT1LylJ6l9XbufOnXTv3p1vvvmGgICAK6pj+vTpfPXVV0XKIJY1O3bsoGfPnnz11VcEBgYWWKas9q+cdhWYGVJm0I1sOdm6cucqcvdsD7LrdsVzZyR/RR2g2rBwwqzelPPwYG9aOn4eHkQetHHyX8cKra/6hEh8I/0KvS4iIiIiciXq1q3LkCFDOHToEPXr13d3c0rdsWPHmDhxYqGB4LVKwaAb2TxgU9D91Nnn2PzTc6dj4mzqlrOAY0JvuJ8P3j+epfPnmYXW41nRiyqDaioQFBEREZESkzt08kbUsmVLdzehRCgYdCObxYs7j91e4LWTS4+R/M1JOmdm432u8KG83mFWak2rV1JNFBEREREpFi+99BIvvfSSu5sheSgYdCNb4VsGcnKJYzio90Xurz4hEu8w60VKiIiIiIiIFEzBoBvZPK5s8Z7qcZHYUrI1LFRERERERK6YgkE3yr6C3R4qD6qBb20FgSIiIiIicnUuMlBRSprNUvTMYIovfNDHl4Dbypdgi0RERERE5EahYNCNKtqKHgx+/rA3B0JKsDEiIiIiInJD0TBRN7o9zXbJMmEv1yAtLYsDYafoFhpcCq0SEREREZEbgTKDbuBtgyrY8PIsODNo8XP8WCI+qE/gneUJuecm5twcycOVKpZmM0VEREREnJKTk2nevDkHDhwo8j3Tp0+nffv2l/Wcbt26MW7cuMttXombOHEi48ePd3czipWCQTfIDQHthawmGvF+fWrPuxnPICVuRURERG4UhQVBy5YtIzo62nl89uxZpk6dSrt27YiKiqJ58+Z069aNVatWYbPZnHUZhoFhGNSvX58WLVowePBgjh075qzn0KFDGIbB//73v3zP7NOnD0OHDnU59/7779OqVStq1qxZXC+5zDh27BiDBw+mbdu2NGjQIN9rB3j++edZvnw5Bw8edEMLS4aCQTexAHiePz5V2xvfBuUI7VsNDx8PPHz1oxERERERV6dPn+bJJ59k6dKl9O7dm6VLl7Jo0SJiY2OZNWsWCQkJzrIdO3bkhx9+4LvvvmP69Ons2rWLYcOGXdFzU1NT+fTTT+nUqVNxvZQyJSMjg4oVK/K3v/2Nxo0bF1gmODiYli1bsmjRolJuXclR6smd8mQGT9fy5tY+td3YGBEREREp6yZPnsyhQ4f48ssvqVy5svN8eHh4vuGYfn5+hIQ4ViAMCwujc+fOzJo164qe+91332GxWIiJiXGey87OZuTIkfz4448cP36cypUr07lzZ3r37o2HR8GJjaFDh5KUlETjxo1ZsGABqamptG3bltGjR+Pr6+ssZ7PZmDx5Mv/+97/x8PAgNjaW1157zVnv559/zvz589mzZw++vr40a9aM4cOHExYWdkWvr3r16owYMQKAr776qtBybdq0YfLkyQwZMuSKnlPWKBh0AzseYLfh/Xlz5znruUsvJiMiIiIiV+b4vxYQuHED+xZZS+2ZAc3uoNKTzxRbfTabjTVr1tChQweXQDCXj49PofeePHmStWvXEhUVdUXP/vXXX2nYsCEWy/mNsm02G2FhYUydOpXg4GC2bNnCqFGjqFChAp07dy60rp9//hkfHx/mzZvH0aNHGTZsGO+8844zGANYuXIl3bt351//+hfbt2/n1VdfpWHDhs6ANzMzkwEDBlC7dm2SkpJ4++23GTRoEAsXLnTWkXdobUFiYmKYO3fuZb0PjRo14ujRoxw4cOC6GC6rYNAN7BYLCfbqeG5r4zyXFaBhoSIiIiJSuKSkJJKTk4mMjCxS+cWLF7N8+XLsdjupqanUq1evwODnmWeeyZfJS09P55FHHnEeJyQkEBoa6lLG29ubl19+2XlcvXp1tm3bxurVqy8aDHp6evLmm2/i7+9PvXr1ePXVVxk+fDiDBg2iXLlyANSpU8dZd0REBEuWLGHTpk3OYPDxxx931lejRg3GjBlDu3btOHLkiDNQ/uyzzy76/uTNRBZVbubx8OHDCgblapz/VOVwFQuH7w9wY1tERERErm+VnnyG/XUbuAxzvNbY7UXfoxrgoYceon///gAcP36c2bNn07NnTz799FP8/f2d5d59913q1q3rcu/IkSNdjtPT06lUqVK+Z3zyyScsWbKEhIQE0tPTyczMpFq1ahdtl2EYLs+Pjo4mMzOTAwcOUL9+fWeZvEJDQzlx4oTzeOvWrcyYMYM///yTU6dOOc8nJCQ4g8FatWpdtB1XIjf7mpaWVux1u4OCwTIgvoknYX7KDIqIiIjcyPz9/Tlz5ky+86dPnyYgIIDg4GCCgoLYvXt3keoLDAx0BkS1atViwoQJtGzZkjVr1rhk7sLCwvIFTn5+fi7HFSpUIDk52eXcmjVriIuLY8iQIURHRxMQEMDChQtZu3Ztkdp3MV5ermGKxWJxBsMpKSn07t2b5s2bM2nSJIKDg0lKSuLpp58mMzPTeU9JDBPNfQ+Cg6+P/b8VDLqF66c6vmngmWf8tYiIiIjceCIiItiwYQN2u91lbt62bduIiIjAw8ODdu3a8fnnn9OvX7988wbT09OBwucOeno6lrK/kqzWzTffzPLly13OxcfH07hxY5555vy8yKLsQbhjxw5SUlKcQ0I3b96Mt7d3kYdd7tmzh6SkJF555RVq1KgBwNdff52vXEkME925cyfe3t7Uq1fvsu8ti5SOciNbzrvvk27XD0JERETkBvfUU09x8OBBxo8fz59//smePXuYN28eq1evpnfv3gC88sorVKlShc6dO7N06VJ27tzJ/v37+eyzz+jYsSOJiYnO+lJTU0lMTCQxMZE///yTMWPG4OPjQ4sWLS67bS1btmT37t0kJSU5z4WHh7N161a+++479u3bx8yZM/nll18uWVdWVhbDhg1j586dbNy4kXfffZcuXbo4g8NLqVq1KlarlYULF3Lw4EG+/fZbpk2blq9crVq1Lvp14cqj27dvZ/v27Zw9e5ZTp06xfft2du3a5VLm119/JSYmJl/m9FqlzKDbWNh1pw/1NqZzsLoHtygzKCIiInJDq1GjBgsWLGDatGn06tWL9PR0ateuzbRp02jVqhXgGK65ePFi5s6dy5w5czh8+DABAQHUqVOHvn37UrVqVWd9y5YtY9myZQCUL18ewzD44IMPqF378rczMwyDqKgo1qxZw9NPPw3AE0884Vzp026388ADD/Dss886n1mY2267jTp16tC9e3fS0tJ44IEHeO2114rcluDgYCZOnMjkyZNZuHAhhmEwdOhQnnvuuct+XXnFxsa6HK9fv55q1aqxbt0657lVq1YxYMCAq3pOWWK53Imo15L4+Hh7WZwk/NTOXtjsVanv0YdOBDIhNZEuYTfRMfT6GHss7hcfH39NT5CXsk39S0qS+peUJPWvq7NhwwYmTJjAmjVrnENOL1fuPoOzZ88u5taVvG+//ZZJkyaxYsWKfHMaoez2r5x2FZh5UmbQTTyAFOxkh3nDfovmDIqIiIhImXb33Xezb98+jhw5cskVQ69HKSkpvPnmmwUGgteq6+eVXEPs2PG0WEjLtpGdk5jVnEERERERKeu6d+/u7ia4Tbt27dzdhGKnYNBNPLCQarNhz1lZ1EOJQRERERG5zr311lvuboLkoYSUm3hYIM1mx5aTGbSgaFBEREREREqPgkE38cBCpt1ORs4CPp6KBUVEREREpBQpGHQDO3Y8chaMOZedDeA8FhERERERKQ0KBt0kd/XQ5KycYNCdjRERERERkRuOYhB3sIBXzhzBUznBoLaWEBERERGR0qRg0E28coK/pKwsQD8IEREREREpXYpB3CQ3E3gqU3MGRURERESk9CkYdJPczOApZQZFREREBBg6dCh9+vRxObd+/XoaN27MlClTmD59Ou3bty/0/jZt2vDhhx/mO1/QfcePH+eNN97gvvvu45ZbbuGuu+7iueee47vvvnOpzzAMDMOgQYMG3HXXXYwaNYqzZ89e5SuVskKbzpcye85WEueHiSozKCIiIiL5ffbZZ4wYMYLXXnuNHj16MH369GKp99ChQ3Tt2hV/f38GDRpE/fr1sdvtbNq0idGjR/Ptt986y/br14+uXbtis9nYvXs3w4YNw2KxMHbs2GJpi7iXgkE38bog+PNQLCgiIiIiOebNm8c777zDhAkTePTRR4u17txAbunSpfj7+zvPR0ZG8sgjj7iU9ff3JyQkBICwsDAeeughfv3112Jtj7iPgsFSZud8ZtDLAlmOQzxQNCgiIiJSUo4cX4A1cAPmPmupPbN8wB1UrvTMZd83ZcoU5s2bx8yZM2nVqlWxtunUqVN8//33DBw40CUQzBUUFFTovQkJCfzwww/cfvvtxdomcR8Fg25isVgI9fYmISMTAE/FgiIiIiI3vI0bN/Ltt98ye/bsYg8EAQ4cOIDdbicyMrJI5adMmcKMGTPIzs4mPT2dW2+9lVdeeaXY2yXuoWDQjcKs54NBLSAjIiIiUnIqV3qGw/sb0Cgmxt1Nuah69epx5swZZsyYQdOmTS+aqbsSuetXFNWzzz7L448/jt1u56+//mLKlCn06dOH+fPn4+Ghv2CvdfoJulGY1dv5vRaQEREREZGQkBAWLFjAmTNn6NmzJ8nJyUW+19/fnzNnzuQ7f/r0aQICAgCoVasWFouF3bt3F6nOChUqUKtWLcLDw7nzzjsZNmwYv/zyCz/99FOR2yVll4LBUpY7ZxCgik+eYNAdjRERERGRMicsLIyPP/6Y1NRUevbsSVJSUpHui4iIYOvWrfnOb9u2jYiICMAR3LVs2ZIFCxZw7ty5fGVPnz590WfkZgNTU1OL1CYp2xSDuIkFC7X9fJ3HygyKiIiISK7Q0FA+/vhjMjMz6dGjBydPngQgPT2d7du3u3zt3bsXgJ49e/LDDz8wc+ZMdu3axc6dO5kyZQqbN2+mZ8+ezrpHjx4NQKdOnfjiiy/Ys2cPu3fvZtGiRflWEz137hyJiYkcO3aMLVu28PbbbxMcHEx0dHTpvBFSojRnsJTlzQzW8j2/mpW2lhARERGRvCpVqsT8+fPp2bMnPXr0ICYmhgMHDhAbG+tSrmHDhixbtoymTZsyZ84cZs2axUcffYTFYqFevXrMmzcPwzCc5WvUqMGyZcuYPXs277zzDkePHqVChQrUr1+fcePGudQ9c+ZMZs6cCUBwcDCNGjXiH//4BxUrViz5N0BKnIJBN7FgwZpn0m325c3lFREREZHrzFtvvZXvXHBwMCtWrHAejxkz5qJ1tGzZkpYtW17yWaGhoYwcOZKRI0cWWmbdunWXrEeubRom6mYxgY79XSp4ebq5JSIiIiIiciNRZtDNXqlZmeMZmVT2Kb0NUEVERERERJQZLGV55wwCeFksCgRFRERERKTUKRh0EwtaMUZERERERNxHwWAps9u1UoyIiIiIiLifgkE30baCIiIiIiLiTgoGRUREREREbkAKBt1GqUEREREREXEfBYOl7MLVREVERERERNxBwaCbaDVREREREbkchw4dwjAM/ve//7m7KVKIZcuWER0dXehxWaNN50uZ8oIiIiIiciHDMC56/bHHHqN///6l1JqyKzs7mw8//JDly5eTkJCA1WqlRo0axMbG0r17d3c3L5927drRqlUrdzejUG4JBg3D6Au8BlQBtgIDTdP8/iLlWwGTgYZAAjDJNM33S6OtJUV5QRERERHJ9cMPPzi///bbbxkxYoTLOV9fX5KTk93RtDJlxowZLFq0iFGjRhEVFUVKSgrbt2/n8OHD7m5agXx9ffH19XV3MwpV6sNEDcN4ApgGxAHRwH+ALwzDqFlI+QhgTU65aOBNYLphGJ1Kp8UiIiIiIiUrJCTE+RUYGFjoOYCEhASeffZZGjduTLt27di4caNLXb/88gudO3emUaNGNG/enLi4ODIyMpzXu3XrxujRo3nrrbe47bbbuOOOO/joo4/IyMhg7Nix3HrrrbRu3ZrPPvvMeU/uENWVK1fStWtXGjVqRNu2bV0C1szMTN544w1atmzJLbfcQqtWrXjnnXec15OTkxkyZAjNmjUjKiqKnj17snPnTuf13CGVmzZton379jRp0oRu3bpx8OBBZ5l169bx5JNP8vDDD1OjRg0MwyA2NpZ+/fo5y2zZsoVevXpx++2307RpU7p27cpvv/3m8h4ZhsGiRYt48cUXady4MQ8++CA//vgjR44coXfv3jRp0oRHH32UrVu35mvfunXrePDBB2nUqFG+9l3owmGi06dPp3379qxevZr77ruP6Oho+vbty8mTJ51lsrKyiIuLo1mzZjRr1oy4uDhGjx5Nt27dCn3OlXJHZnAQMM80zTk5xy8ZhtEWeBF4vYDyLwAJpmm+lHO83TCM24FXgaUl3tpip4GiIiIiIqVtwfF/sSFwI9Z9i0rtmXcENOOZSk8We71Tpkzh73//O6NHj+a9995j0KBBrFu3Dn9/f44ePcrzzz/PI488wltvvcWBAwcYMWIEHh4eDB061FnHypUrefbZZ1m8eDHr1q0jLi6O77//nrvuuoulS5eyfPlyRowYQfPmzQkNDXXe9/bbbzN06FBnMNW3b1+++eYbwsLC+Pjjj/nmm2+YMmUK1apV48iRI+zdu9d579ChQ9m7dy+zZs0iKCiIKVOm8Nxzz/HVV185s2cZGRnMnj2buLg4rFYrQ4cOZcyYMXz44YcAVKpUiZ9//pnjx49TqVKlAt+fc+fO8cgjjzB8+HAAFi5cyN/+9je+/vprKlas6Cz33nvvMWTIEIYMGcL06dMZNGgQDRo0oGvXrowYMYK4uDiGDh3KypUrnfdkZGQwY8YM4uLi8PPzY8KECfTv398lcL6Uw4cPs2bNGmbMmEFqaiqDBg1i6tSpjBs3DoB//OMfLF++nDfeeIO6deuyaNEiVq1axc0331zkZxRVqWYGDcOwAjHA1xdc+hpoXshtdxZQ/ivgVsMwvIu3hSXvz9QdOd9poKiIiIiIXL6ePXvSpk0bwsPDGTRoEKdOnWL79u0ALFq0iNDQUMaMGUNkZCT33HMPgwcPZsGCBaSmpjrrqFu3Li+99BLh4eE8++yzVKxYES8vL3r06EGtWrWcmbb//ve/Ls/u2rUr7dq1IzIykuHDh1OlShUWLXIE2AkJCYSHh3PrrbdStWpVmjZtSqdOjsF8+/btY926dYwfP55mzZphGAZvv/02Z8+edQm2srKynENA69evT69evfjpp5+w2x0Jlddff53k5GRatmzJww8/zPDhw/n666+d1wHuvPNOYmNjiYyMJDIykpEjR+Lj48OGDRtcXktsbCzt27cnPDycPn36cOLECVq2bMl9991HREQEzz33HDt27MiXtRs+fDgxMTHcfPPNTJo0iR07drBp06Yi//yysrJ46623qF+/PtHR0XTp0sXl/vnz5/P888/z4IMPUrt2bYYPH15o4Hu1SjszWAnwBI5ecP4ocF8h91QG1hZQ3iunvr8u9sD4+PjLb2UJ2ud5gKBygQSfKE/8X2WrbXJ9KWt9X64v6l9SktS/pCQ0oC4NqFu6Dz0B8fsvvz/v2bMHyP9vITExEQC73e68lhsE/fLLL1gsFuLj46lRo4bLsEgfHx8yMzP58ssvqVmzJmfOnKFKlSou9ZcrV46goCCXc35+fmzevJmQkBDns/39/V3KVK9enfj4eOLj46lfvz7Lly+nVatWREVF0aRJExo3boyHhwfx8fFYLBZsNpvL/VWrVmXjxo3Url2bffv24e3tTVJSkrPMqVOnyMzMZMOGDQQEBAAwduxY9u7di2ma/PnnnyxbtoxGjRrx2muv4eHhQXJyMkuWLGHbtm0kJydjs9nIyMjg119/pXr16s5nW61W53NOnz4N4HwPAY4edYQs33//PdWrV2ffvn1YLBaysrJcXkOFChVYv349bdu2Zd++fWRnZzuvX3ickJDATTfdxI4dO5z3p6SkkJiYSHx8vPN7X1/ffO/ziRMniv3343W/mmhMTIy7m+AihhjC42uWuXbJ9SU+Pl59TEqM+peUJPUvKUnXSv/KDbwubOuhQ4cAuOWWW2jUqJHLtYiICGJiYqhQoQJ+fn4u9+7fvx+Am2++GcMwCAwMpEqVKi5lypUrR40aNVzOWa1WqlevTkxMjPPZdevWdSkTHBxMamoqMTExxMTEOOcRbtq0iTlz5lC/fn3++c9/curUKSwWC02bNsXb+/zgvoCAACpXrkxMTAz79+/H29vbpf6srCwAGjVqRHBwsPN8s2bNnN9//vnn/P3vf8dms9GsWTOee+45Tpw4wdixY6lWrRpWq5WePXsSGhrqUnfe15Kb/WvQoIHzXIUKFZzn6tWrx/79+7FYLMTExODldT6Myl3RFCA8PBxPT09nHfv373c5/s9//kNAQEC+n09uvWfOnCn0fc7IyLii/nuxALK0F5A5DmQDYRecDwOOFHLPkULKZ+XUJyIiIiIiQGRkJL///js2m815Lj4+Hm9vb2rWLHC9xsvy+++/O7+32+1s2bKFyMhI57mAgADatm3L2LFj+eCDD/jxxx/Zv38/kZGR2Gw2Nm/e7Cx79uxZduzY4XL/lahTpw7gyLCB4/U+88wztG7dmrp16+Lv7+8MsK+WzWZjy5YtzuOEhASOHTt21a8hV2BgICEhIS57Sdrt9hLbW7JUM4OmaWYYhhEP3A8syXPpfgpfDGYT8NgF5+4HfjVNM7P4WykiIiIicm166qmn+OijjxgzZgw9evTg4MGDvPvuuzzzzDP4+flddf2ffPIJ4eHh1KtXj0WLFpGQkEDXrl0B+Oc//0lISAgNGjTAy8uLlStXOjN/fn5+3HvvvYwaNYrx48cTGBjIlClTCAgIoEOHDkV+/oABA2jatCnR0dFUqlSJQ4cOMXnyZCpVquRctTMiIoIVK1bQuHFjUlJSePvtt12ykVfDy8uLuLg4hg8fjq+vL3FxcdSpU4fmzZvnm195pbp3786HH35IREQEkZGR/Pvf/yYxMZGQkJBiqT8vdwwTnQx8bBjGz8BGHKuFVgXeBzAMYz6AaZq5u0a+D/Q3DGMqMBtoAfQEupZus0VEREREyrawsDDmzJnDpEmTePTRRwkKCqJ9+/YMGjSoWOofPHgw8+bNY+vWrVStWpUZM2ZQuXJlwDGf8MMPP3TOrbv55puZM2eOMwh98803iYuL48UXXyQ9PZ2mTZsyd+7cy9qHr2XLlqxZs4YPPviA06dPc9NNN9G0aVPeeOMN57DOuLg4Ro4cSceOHQkNDaV///4kJSUVy+u3Wq288MILDBkyhISEBJo0acKMGTOwWIpvcchevXqRmJjI66+/jsVioWPHjtx///0cP178gyIteVfeKS05m87/Hcem838Ar5imuSHn2rcApmm2zlO+FTCF85vOTyzKpvPx8fH2sjgu/FoZry7XLvUxKUnqX1KS1L+kJKl/XblDhw5x77338umnn+abr3ijWLZsGePHj8+3Z2GukuxfsbGxxMTEMHLkyMu+N6ddBUarbllAxjTNWcCsQq61LuDcd0DTEm6WiIiIiIiIWx0+fJgffviBZs2akZWVxeLFizFNk/Hjxxf7s6771URFRERERESuFR4eHnz22WdMmjQJm81GnTp1mDNnTolkZBUMioiIiIjIRVWvXh3TNN3dDLfq2LEjHTt2LPHnVKlShU8++aTEnwOlv7WEiIiIiIiIlAEKBkVERERERG5ACgZFRERERERuQAoGRUREREREbkAKBkVERERERG5ACgZFRERERERuQAoGRUREREREbkAKBkVERERERG5ACgZFRERERERuQAoGRUREREREbkAKBkVERERERG5AFrvd7u42lJj4+Pjr98WJiIiIiIgUQUxMjKWg89d1MCgiIiIiIiIF0zBRERERERGRG5CCQRERERERkRuQgkEREREREZEbkIJBERERERGRG5CCQRERERERkRuQgkEREREREZEbkIJBERERERGRG5CXuxtwozEMoy/wGlAF2AoMNE3ze/e2SsoawzDuBl4FYoCqwLOmac7Lc90CjAb+BlQEfgL6maa5NU+ZisD/Ax7JObUCeMk0zVN5yjQCZgC3ASeB2cB40zS1Ael1yjCM14GOgAGkAz8Cr5um+UeeMupfckUMw+gH9AHCc05tBd4wTXN1znX1LSk2Ob/P4oCZpmn2zzmnPiZXzDCMMTj6T15HTdOsnHP9uutfygyWIsMwngCm4fjFFQ38B/jCMIyabm2YlEUBwB/Ay0BqAdf/DgwGXgKaAceAbwzDCMxTZhHQFGib89UU+Dj3omEYQcA3wNGcOl7G8UHFoGJ+LVK2tAZmAc2BNkAWsNYwjOA8ZdS/5EodAobg6A+3AuuAzwzDiMq5rr4lxcIwjDtw/EG+5YJL6mNytUwcSZvcr0Z5rl13/ctit+sDjtJiGMZPwBbTNJ/Pc24n8Klpmq+7r2VSlhmGcRbon5sZzPlUKgGYYZrmhJxzfjh+Ib1qmuZswzAaANuAlqZpbswp0xL4HqhvmqZpGMaLwEQgzDTN1JwyI4AXger69PPGYBhGAJAMxJqmuVL9S4qbYRgngdeBD1DfkmJgGEZ54L/AZ2IhVwAADD1JREFUcziyNH+Yptlfv7/kauVkBh83TfOWAq5dl/1LmcFSYhiGFceQv68vuPQ1jk/oRYoqAqhMnr6U88tkA+f70p3AWRzZ51wbgXMXlPk+9xdRjq9wDEsNL4mGS5kUiOP/gqScY/UvKRaGYXgahvEkjpEO/0F9S4rPBzg+SF9/wXn1MSkOtQ3DSDAMY69hGP8yDKN2zvnrsn8pGCw9lQBPHCnhvI7i6FgiRZXbXy7WlyoDiXk/Xcr5/tgFZQqqI+8z5Po3DdgMbMo5Vv+Sq2IYRqOcEQ3pwPvAY6Zp/g/1LSkGhmE8D9QBRhRwWX1MrtZPQE8cwzufx/Hz/o9hGDdxnfYvLSAjInKDMgxjMtASx3CWbHe3R64bJtAEKA88DnxkGEZrt7ZIrguGYRg41l1oaZpmprvbI9cf0zS/yHtsGMaPwB6gB44F1647ygyWnuNANhB2wfkw4EjpN0euYbn95WJ96QgQkjO+HXCOdQ+9oExBdeR9hlynDMOYAnQF2pimuSfPJfUvuSqmaWaYprnLNM34nPnwm4FXUN+Sq3cnjpFWWw3DyDIMIwtoBfTN+f5ETjn1MSkWpmmexbEqcl2u099hCgZLiWmaGUA8cP8Fl+7HdVyxyKXsxfHLwtmXDMPwBe7ifF/ahGOezp157rsT8L+gzF059+a6H8fk6H0l0XApGwzDmMb5QPDPCy6rf0lx8wB8UN+Sq/cZjpUdm+T5+hX4V873O1Afk2KU0wfqA39xnf4O02qipShna4mPgb44JpO+APQGGpqmud+dbZOyJWeFxzo5h/8B3sKxT81J0zQPGIYxBBgGPIvjP78RwN2AYZrmmZw6vgCq41h6GxwT7veZptkh53p5HMO5vgXeAOoB84Cxpmm+W8IvUdzEMIyZQDcgFseKZ7nO5nwCivqXXCnDMN4CVgMHcSxO9BSOrSYeNk3zC/UtKW6GYXxLzmqiOcfqY3LFDMN4B1gJHMCRzRuJo/80Mk1z//XYv5QZLEWmaf4bGIij42zGMVennQJBKcCtwG85X37A2Jzvx+VcnwRMAWbi+FS0CvBA7i+iHE8Bv+NYoeqrnO+75V40TTMZxydRVXPqmAm8C0wuqRclZUJfHH+k/x+OTzpzv17NU0b9S65UZWABjj90/g/HHloP5ZmHo74lJU19TK5GdeATHL/DluFYCOuOPH+rX3f9S5lBERERERGRG5AygyIiIiIiIjcgBYMiIiIiIiI3IAWDIiIiIiIiNyAFgyIiIiIiIjcgBYMiIiIiIiI3IAWDIiIiIiIiNyAFgyIiIiIiIjcgBYMiIiIiIiI3IC93N0BE5HplGIa9CMXGmqY5pqTbUtpyXvtrpmm+k3M8BnjVNM0AtzYsh2EYsUBV0zRnXUUdNYFewAzTNI8XW+PO118HeBW4A7gF+NM0zVuK+zklxTCMpkB8EYq2N01zdTE9syfwzwIuzTRNs/8FZesC04GWQCrwL2CIaZopJVlORKQsUTAoIlJy7rzgeBOOPxYX5Tl3qPSa41ZzgWL5g7+YxAK3AlccDAJtgOHAW8XSovwaAg8DP+EYyXOtjebZh+u/ga7AAKAdkJTn/O8l8Oy2QHKe4yN5LxqGUQFYD+wHHgdCgclACPBkSZUTESlrFAyKiJQQ0/z/7d17jF1VFcfxb2m0IkaZQkUI2JhiFo9OaQigpBAYMcbyhwkIhIRAKSWRlyEoIhWLJVPQEF4GBU2oKaH8wUNDqdUOTcsjUBAoaShQV2MRWqFCYWYwEHn0wR9r387hcHvOGWZu7729v08yuZlz1tl7nz132rtmP44/lf3ezAA25I93Anf/Dw1MfM1sDDDO3d9vVB11TAW8gXUudvdFAGa2gEhe24a79wM73utmNgt4293/vguqX1UyWvsjoAuYWoszsy3A3WbW6+4vNihORKSlKBkUEWkBZnYMMI+hkZSHgEtTEpVNBi4FbgQMWA3MBF4DfkeMdg0Cv3H32zNl1679KXAD8E3gReASd38yE3doOv9tYM9U7kJ3v6ak7TOBOcD+wDPAhXVi5pKZJlqlLjM7FrgmxYwBXgJ+6e7LMvf0E2JkbjIwC7irrD/TtTNSXG0q753ufm7RfebuZyNwYK6Mi0cy7TTP3beNVlktohtY0+xGJCcDy3MJ45+BPwHTid+PRsSJiLQUJYMiIk2WEpfHgGXAWcDngLlAn5lNcfetKfRrwC3AtcD7xDS0e4ipaWuI6WlnALeZ2T/c/blMNfsDf0jlDgKzU/kHu/ubKWYxsJlIqgaBSUTiWNT26cQH3oXA3URS9kCF2y6sy8ymASuIKZLnp5ijgK9nyjgg3dM84N/ApnRtYX8CvcT0vUPSeVJbhuM0YClD9w3g2YA0Wjm2Qllb3b3K+tK2lfpiMvFeqRI70n57wcwmABuABcC17r4lc/7QfFvc/QMzW0+8LxoVJyLSUpQMiog03/XEKN8Pah9uzexZYB2xzmphihsP9Lj7mhSzN7FZxhPuflU69gjwQ+B0IJsMjgdOd/cVKe4xYCNwGTDbzPYlErLL3H1xuuaRCm2/Gljp7men75ea2TZi9LKuinVdD/wr3W8tGX4oF9NFbD6yss61O+1Pd19oZpuBiSOYsrse2BtYWlDGDOpvZpLXQ7W+bmeTgL2A5yvEjqTfNgG/Ap4GthKjcnOAbwDnZuK6iD8w5A0QvyuNihMRaSlKBkVEmsjM9iR2H/wZMDatK4SYNunAMQwlg5tqiWCyLr3uSJLc/SMzewU4KFfVO7VEMMUNmNkK4Fvp0NvECOOvzWwfYsrbxpK2jyVG667InbqfgmSwrC4z+yIxNXR2JhGsW04+ERxmf47EEem1aPOTxcDRFcry8pC2151eqySDn7nf3L0P6MscWmZm7wBz09q99RXKFRHpGO22M5mIyO5mPDEl7ibgo9xXN5+cFjmQu/bD9JofkfgQ+ELuWL1pkG8Q00dJI2jfI9bl3QpsMLPVZnZSQdsnEH9UfDN3/I2Ca6rU1UX8//R6UTk7qWc4/TkSRwD9tTWdO9FPjFCWfb07Sm1qZVOAbVRbOzfa/XZvej0yc2yAGNnN60r1NypORKSlKBkUEWmuQWA7cB0xGpL/unyU6plQ59h+pHV2AO6+zt3PID7AHk98iH0wjd7VsxnYQmyjny+3UEldg0TicEBJMfXWi+2q/pxK+SMRZvDphLTe1wmj1KZWNgV42d3fqxC7K/ptLbHObwczG0dMZ/1nA+NERFqKpomKiDSRu79nZiuBw2rr/hrkK2b2ncyawS7iOXm31mnTFuBxM5sHLAcmElM783FbzWwVsZnKzZlTp1VtVL263P05M3sSOMfMbiyZKpovr2p/1hs9HY5DiJ1Ti2ia6JBuqk0RhdHvtzOJPxCsyhz7GzDHzPZx99p7+xRgXDrXqDgRkZaiZFBEpPkuBx42s/uJB9L3E6NiPcASd6+yO2eZfmB+esTDAPAL4gPyLQBpl83a7qTrgS8RawFfJ6Zz7kwv8Fczu4tYizeZOo+WyKpY15XEbqLLzez3qc1HAm+5e9mOlFX6cy0wy8zOIpKKt9z9FTM7kXh4+Ex3X1BQx/+AY82sB/g/sDr/vMGUFHwqia4qrZ08OX07EfiymdUS7Wfc/dUUV9hmMzuH2OnyJHd/dDjnK1xbWHfmPiYRP4tSI+k3M+sj3jcvEKPL04GLgPnu/nIm9I/Aj4FFZtbL0EPi73H3lxoYJyLSUjRNVESkydJulNOAzwPziUcW9BL/Ro/W88k2ER+KrwDuS3V9391r6+7+SyRjVwJLgDuIaaDfLXqoursvIR79cBywCDiVGBEpUlqXuz8OnEh8oF8A/CWV+2rZjVbsz/nEWrLfEiN8c9PxvTJtLHIVsTaxD3iCao9CGK6vEj+r+4i+OCjzfU8mrqzNe6T2jfkM58uurdJfh6dyqo4MjsRa4DziZ/sAMfr9c+CCbJC7D6Zz7xLvrZuJP06c18g4EZFWM2b79t360UYiIh2v9oB2d5/c7La0ujSqcwrQ3S7P/mtmm9uxv0REZIhGBkVERIZMA65rs8SmmW1ux/4SEZFEI4MiIrs5jQyKiIhIPUoGRUREREREOpCmiYqIiIiIiHQgJYMiIiIiIiIdSMmgiIiIiIhIB1IyKCIiIiIi0oGUDIqIiIiIiHQgJYMiIiIiIiIdSMmgiIiIiIhIB/oYdtGh6FQCwQIAAAAASUVORK5CYII=\n", "text/plain": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Répétitions'), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "CPU times: user 10 mins, sys: 0 ns, total: 10 mins\n", "Wall time: 10 mins\n" ] } ], "source": [ "%%time\n", "N = len(algorithmes)\n", "recompenses, choix = np.zeros((N, repetitions, horizon)), np.zeros((N, repetitions, horizon))\n", "\n", "# Pour chaque répétitions\n", "for rep in tqdm(range(repetitions), desc=\"Répétitions\"):\n", " for i, alg in enumerate(algorithmes):\n", " rec, ch = simulation(bras, alg, horizon)\n", " recompenses[i, rep] = rec\n", " choix[i, rep] = ch" ] }, { "cell_type": "code", "execution_count": 71, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Dimension de 'recompenses_moy' = (9, 10000)\n", "Dimension de 'recompenses_fin' = (9, 100)\n" ] } ], "source": [ "# On moyenne\n", "recompenses_moy = np.mean(recompenses, axis=1)\n", "choix_moy = np.mean(choix, axis=1)\n", "print(\"Dimension de 'recompenses_moy' =\", np.shape(recompenses_moy)) # juste pour vérifier\n", "\n", "# On garde la distribution à t=T\n", "recompenses_fin = np.sum(recompenses, axis=2)\n", "choix_fin = np.sum(choix, axis=2)\n", "print(\"Dimension de 'recompenses_fin' =\", np.shape(recompenses_fin)) # juste pour vérifier" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Cette fois, les statistiques accumulées ne sont plus entières." ] }, { "cell_type": "code", "execution_count": 72, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "(array([[0.94, 0.77, 0.68, ..., 0.86, 0.88, 0.88],\n", " [0.94, 0.82, 0.64, ..., 0.91, 0.9 , 0.92],\n", " [0.91, 0.82, 0.66, ..., 0.91, 0.94, 0.87],\n", " ...,\n", " [0.94, 0.82, 0.69, ..., 0.87, 0.93, 0.79],\n", " [0.89, 0.76, 0.75, ..., 0.83, 0.92, 0.86],\n", " [0.47, 0.53, 0.45, ..., 0.89, 0.92, 0.9 ]]),\n", " array([[0. , 1. , 2. , ..., 0.34, 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8986., 8946., 8921., 8987., 8914., 8873., 8956., 8956., 8972.,\n", " 8975., 8933., 8955., 8938., 8925., 8932., 8966., 9015., 8929.,\n", " 8963., 8948., 8977., 8983., 8968., 8965., 9005., 8980., 8933.,\n", " 8988., 8983., 8963., 8935., 9004., 8944., 8984., 8943., 8957.,\n", " 8928., 8990., 8974., 9006., 8920., 8941., 8919., 8980., 8938.,\n", " 8941., 8907., 8980., 8988., 8956., 8994., 8963., 8928., 8930.,\n", " 8920., 8992., 8917., 8989., 8976., 8895., 8950., 8958., 8941.,\n", " 8963.]])" ] }, "execution_count": 73, "metadata": {}, "output_type": "execute_result" } ], "source": [ "recompenses_fin" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On affiche et vérifie les résultats attendus :" ] }, { "cell_type": "code", "execution_count": 74, "metadata": {}, "outputs": [], "source": [ "choix_moy = np.floor(choix_moy)" ] }, { "cell_type": "code", "execution_count": 75, "metadata": { "scrolled": false }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Répétitions', max=10), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "CPU times: user 1min 14s, sys: 625 ms, total: 1min 15s\n", "Wall time: 1min 14s\n" ] } ], "source": [ "%%time\n", "N = len(algorithmes)\n", "recompenses, choix = np.zeros((N, repetitions, horizon)), np.zeros((N, repetitions, horizon))\n", "\n", "# Pour chaque répétitions\n", "for rep in tqdm(range(repetitions), desc=\"Répétitions\"):\n", " for i, alg in enumerate(algorithmes):\n", " rec, ch = simulation(bras, alg, horizon)\n", " recompenses[i, rep] = rec\n", " choix[i, rep] = ch" ] }, { "cell_type": "code", "execution_count": 101, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Dimension de 'recompenses_moy' = (11, 10000)\n", "Dimension de 'recompenses_fin' = (11, 10)\n" ] } ], "source": [ "# On moyenne\n", "recompenses_moy = np.mean(recompenses, axis=1)\n", "choix_moy = np.mean(choix, axis=1)\n", "print(\"Dimension de 'recompenses_moy' =\", np.shape(recompenses_moy)) # juste pour vérifier\n", "\n", "# On garde la distribution à t=T\n", "recompenses_fin = np.sum(recompenses, axis=2)\n", "choix_fin = np.sum(choix, axis=2)\n", "print(\"Dimension de 'recompenses_fin' =\", np.shape(recompenses_fin)) # juste pour vérifier" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Cette fois, les statistiques accumulées ne sont plus entières." ] }, { "cell_type": "code", "execution_count": 102, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "(array([[0.3, 0.1, 0. , ..., 0.1, 0.4, 0.3],\n", " [0.5, 0. , 0. , ..., 0.1, 0.1, 0.2],\n", " [0.2, 0. , 0.1, ..., 0.1, 0.3, 0.4],\n", " ...,\n", " [0.1, 0.1, 0.1, ..., 0.2, 0.4, 0.2],\n", " [0.1, 0. , 0.1, ..., 0.1, 0.2, 0.2],\n", " [0.1, 0.4, 0. , ..., 0.2, 0.3, 0.3]]),\n", " array([[0. , 1. , 2. , ..., 0.9, 0.9, 0.9],\n", " [0. , 1. , 2. , ..., 3.2, 1.7, 1.2],\n", " [0. , 1. , 2. , ..., 0. , 0. , 0. ],\n", " ...,\n", " [0. , 1. , 2. , ..., 0. , 0. , 0. ],\n", " [0. , 1. , 2. , ..., 0. , 0. , 0. ],\n", " [4.9, 7.2, 7.3, ..., 0. , 0. , 0. ]]))" ] }, "execution_count": 102, "metadata": {}, "output_type": "execute_result" } ], "source": [ "recompenses_moy, choix_moy" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On affiche et vérifie les résultats attendus :" ] }, { "cell_type": "code", "execution_count": 103, "metadata": {}, "outputs": [], "source": [ "choix_moy = np.floor(choix_moy)" ] }, { "cell_type": "code", "execution_count": 104, "metadata": { "scrolled": false }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "Failed to display Jupyter Widget of type HBox
.
\n", " If you're reading this message in the Jupyter Notebook or JupyterLab Notebook, it may mean\n", " that the widgets JavaScript is still loading. If this message persists, it\n", " likely means that the widgets JavaScript library is either not installed or\n", " not enabled. See the Jupyter\n", " Widgets Documentation for setup instructions.\n", "
\n", "\n", " If you're reading this message in another frontend (for example, a static\n", " rendering on GitHub or NBViewer),\n", " it may mean that your frontend doesn't currently support widgets.\n", "
\n" ], "text/plain": [ "HBox(children=(IntProgress(value=0, description='Répétitions', max=10), HTML(value='')))" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:24: RuntimeWarning: invalid value encountered in log\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "CPU times: user 1min 16s, sys: 527 ms, total: 1min 17s\n", "Wall time: 1min 16s\n" ] } ], "source": [ "%%time\n", "N = len(algorithmes)\n", "recompenses, choix = np.zeros((N, repetitions, horizon)), np.zeros((N, repetitions, horizon))\n", "\n", "# Pour chaque répétitions\n", "for rep in tqdm(range(repetitions), desc=\"Répétitions\"):\n", " for i, alg in enumerate(algorithmes):\n", " rec, ch = simulation(bras, alg, horizon)\n", " recompenses[i, rep] = rec\n", " choix[i, rep] = ch" ] }, { "cell_type": "code", "execution_count": 115, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Dimension de 'recompenses_moy' = (9, 10000)\n", "Dimension de 'recompenses_fin' = (9, 10)\n" ] } ], "source": [ "# On moyenne\n", "recompenses_moy = np.mean(recompenses, axis=1)\n", "choix_moy = np.mean(choix, axis=1)\n", "print(\"Dimension de 'recompenses_moy' =\", np.shape(recompenses_moy)) # juste pour vérifier\n", "\n", "# On garde la distribution à t=T\n", "recompenses_fin = np.sum(recompenses, axis=2)\n", "choix_fin = np.sum(choix, axis=2)\n", "print(\"Dimension de 'recompenses_fin' =\", np.shape(recompenses_fin)) # juste pour vérifier" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Cette fois, les statistiques accumulées ne sont plus entières." ] }, { "cell_type": "code", "execution_count": 116, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "(array([[0.4, 0.1, 0.3, ..., 0.3, 0.1, 0.3],\n", " [0.2, 0. , 0.1, ..., 0.4, 0.2, 0.1],\n", " [0.3, 0.2, 0. , ..., 0.3, 0.2, 0.3],\n", " ...,\n", " [0.3, 0.1, 0.1, ..., 0.2, 0.1, 0.3],\n", " [0.3, 0. , 0. , ..., 0.4, 0.3, 0.4],\n", " [0.3, 0.1, 0. , ..., 0.2, 0.1, 0.1]]),\n", " array([[0., 1., 2., ..., 0., 0., 0.],\n", " [0., 1., 2., ..., 0., 0., 0.],\n", " [0., 1., 2., ..., 0., 0., 0.],\n", " ...,\n", " [0., 1., 2., ..., 0., 0., 0.],\n", " [0., 1., 2., ..., 0., 0., 0.],\n", " [0., 1., 2., ..., 0., 0., 0.]]))" ] }, "execution_count": 116, "metadata": {}, "output_type": "execute_result" } ], "source": [ "recompenses_moy, choix_moy" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On affiche et vérifie les résultats attendus :" ] }, { "cell_type": "code", "execution_count": 117, "metadata": {}, "outputs": [], "source": [ "choix_moy = np.floor(choix_moy)" ] }, { "cell_type": "code", "execution_count": 118, "metadata": { "scrolled": false }, "outputs": [ { "data": { "image/png": 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\n", 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