From cae61724386c53c1ab4eafb1bb7d3822dc7c1d91 Mon Sep 17 00:00:00 2001 From: 6d8af797d01bfc5ebbe3e45be8c278ea <6d8af797d01bfc5ebbe3e45be8c278ea@app-learninglab.inria.fr> Date: Wed, 28 Feb 2024 20:50:27 +0000 Subject: [PATCH] a --- module3/exo2/incidence-PAY-3.csv | 2053 +++++++++++++++++ ...vec \303\251valuation par les pairs.ipynb" | 1029 +++++++++ module3/exo3/exercice.ipynb | 25 - 3 files changed, 3082 insertions(+), 25 deletions(-) create mode 100644 module3/exo2/incidence-PAY-3.csv create mode 100644 "module3/exo3/Travail pratique avec \303\251valuation par les pairs.ipynb" delete mode 100644 module3/exo3/exercice.ipynb diff --git a/module3/exo2/incidence-PAY-3.csv b/module3/exo2/incidence-PAY-3.csv new file mode 100644 index 0000000..d2fc6b3 --- /dev/null +++ b/module3/exo2/incidence-PAY-3.csv @@ -0,0 +1,2053 @@ +# @source="réseau Sentinelles, INSERM, Sorbonne Université, https://www.sentiweb.fr", 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{}, + "source": [ + "__Sujet__ : \"Analyse des dialogues dans l'Avare de Molière\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Préliminaires" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Avant tout, j'importe les __packages__ qui me seront nécessaires (et je règle la taille des figues) :" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import os\n", + "import urllib.request\n", + "import pandas as pd\n", + "import urllib.request\n", + "import subprocess\n", + "\n", + "plt.rcParams['figure.figsize'] = [14, 7]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Afin d'étudier le texte, je décide d'exploiter la __version .txt (markdown)__ que je télécharge" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "data_url = \"http://dramacode.github.io/markdown/moliere_avare.txt\"\n", + "data = urllib.request.urlopen(data_url)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Je souhaite extraire chaque ligne de dialogue, __mais__ :\n", + "1. le texte est encodé en __utf-8__ ;\n", + "2. des __sauts de lignes__ sont fréquemment effectués ;\n", + "On corrige ces défauts dans le code suivant :" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "lignes=[]\n", + "for ligne in data:\n", + " l1=ligne.decode('utf-8')\n", + " l2=l1.replace(u'\\xa0', u' ')\n", + " if l2.strip()!=\"\":\n", + " lignes+=[l2.strip()]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Certaines lignes ne correspondent pas à des répliques. On veut créer un tableau avec la structure suivante : chaque ligne correspond à une réplique, et les colonnes correspondent successivement au __numéro de la réplique__ (ordre chronologique), au __personnage__ qui la prononce, la __réplique__ elle-même, l'__acte__ et la __scène__ correspondants.\n", + "\n", + "On enlève les __premières lignes__ qui n'auront pas d'intérêt dans notre analyse, et on supprime également un saut de ligne non conventionnel à l'acte III." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "lignes=lignes[26:]\n", + "lignes.remove(\"Il crie au Voleur dès le jardin, et vient sans chapeau.\")\n", + "target_index = lignes.index(\"Il se prend lui-même le bras.\")\n", + "lignes[target_index] = \"HARPAGON\"\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "La fonction suivante permettra de supprimer les didascalies." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "def nodidasc(L):\n", + " M=L\n", + " if \"*\" in L:\n", + " for k in range(len(L)-1,-1,-1):\n", + " if L[k]==\"*\":\n", + " M=L[:k]\n", + " M=M.replace(\",\",\"\")\n", + " M=M.replace(\".\",\"\")\n", + " while len(M)>0 and M[-1]==\" \":\n", + " M=M[:-1]\n", + " return M" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Pour déterminer l'acte et la scène, on exploite le formatage du texte : les nouveaux actes sont annoncés par __##__ quand une nouvelle scène est annoncée par __###__.\n", + "\n", + "Pour déterminer qu'une nouvelle réplique commence, on exploite le fait que le nom de personnage qui l'énonce est __toujours en majuscules__." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "repliques=[]\n", + "acte=0\n", + "scene=0\n", + "deb=False\n", + "nb=1\n", + "for ligne in lignes:\n", + " if ligne.startswith(\"## \"):\n", + " acte+=1\n", + " scene=0\n", + " if ligne.startswith(\"### \"):\n", + " scene+=1\n", + " if not(ligne.startswith(\"#\")):\n", + " ligne2=ligne\n", + " if deb:\n", + " repliques+=[[nb,personnage,ligne2,acte,scene]]\n", + " deb=False\n", + " nb+=1\n", + " if ligne[:5].isupper():\n", + " ligne2=nodidasc(ligne)\n", + " deb=True\n", + " personnage=ligne2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Une mesure du temps de paroles sera donnée par le nombre de mots prononcés. On écrit donc une __fonction__ qui compte le __nombre de mots dans une réplique__ ( _en faisant attention à supprimer la ponctuation_ ) :" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "def compte_mots(replique):\n", + " for ponctuation in [\"...\",\".\",\"?\",\"!\",\",\",\";\",\"'\",'\"']:\n", + " replique=replique.replace(ponctuation,\" \")\n", + " for k in range(10):\n", + " replique=replique.replace(\" \",\" \")\n", + " return len(replique.split())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On teste cette fonction sur un fameux adage :" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "10" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "compte_mots(\"Quand le chat n'est pas là, les souris dansent.\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Enfin, pour pouvoir manipuler simplement ces données, on créé une fonction qui change légèrement leur forme :" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "def traitement(L):\n", + " M=[]\n", + " for k in range(0,len(L[0])):\n", + " M+=[[L[0][k],L[1][k]]]\n", + " return M" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "_Petit bonus : pour des raisons purement esthétiques, on invoquera la fonction suivante, qui transforme un nombre entre 1 et 9 en écriture romaine._" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "def roman_num(k):\n", + " return [\"I\",\"II\",\"III\",\"IV\",\"V\",\"VI\",\"VII\",\"VIII\",\"IX\"][k-1]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "__Il est à présent temps d'exploiter toutes ces informations !__" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Temps de parole des personnages" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "__Consignes__ : classez les personnages selon la quantité de parole grâce à une analyse syntaxique du texte (scènes / répliques / mots). En particulier, quel est celui qui parle le plus ? Quel est celui qui ne parle pas du tout ? Attention, les noms des personnages ne sont pas forcément homogènes (casse et accents par exemple)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Par nombre de scènes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "__Dans combien de scènes__ apparaissent les personnages ? On propose ici un code qui détermine la liste des scènes (au format __[n° acte,n° scène]__) pour chaque personnage." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "liste_scenes=[[],[]]\n", + "for replique in repliques:\n", + " if replique[1] in liste_scenes[0]:\n", + " k=0\n", + " while liste_scenes[0][k]!=replique[1]:\n", + " k+=1\n", + " if not([replique[3],replique[4]] in liste_scenes[1][k]):\n", + " liste_scenes[1][k]+=[[replique[3],replique[4]]]\n", + " else:\n", + " #première apparition\n", + " liste_scenes[0]=liste_scenes[0]+[replique[1]]\n", + " liste_scenes[1]=liste_scenes[1]+[[[replique[3],replique[4]]]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "La fonction de traitement construite en introduction permet d'obtenir une liste plus facile à exploiter :" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "liste=traitement(liste_scenes)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On peut à présent lister les scène dans lesquelles apparaît un personnage donné : ( _attention à bien mentionner le nom du personnage en majuscules_ )" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MARIANE apparaît dans les scènes suivantes :\n", + "Acte III, scène 4\n", + "Acte III, scène 6\n", + "Acte III, scène 7\n", + "Acte IV, scène 1\n", + "Acte V, scène 5\n", + "Acte V, scène 6\n" + ] + } + ], + "source": [ + "nom='MARIANE'\n", + "def LS(nom):\n", + " for L in liste:\n", + " if L[0]==nom:\n", + " print(nom+\" apparaît dans les scènes suivantes :\")\n", + " for actscen in L[1]:\n", + " print(\"Acte \"+roman_num(actscen[0])+\", scène \"+str(actscen[1]))\n", + " return None\n", + "LS(nom)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On peut également lister les personnages avec le nombre de scènes dans lesquelles ils apparaissent chacun :" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "VALÈRE : 9\n", + "ÉLISE : 9\n", + "CLÉANTE : 14\n", + "HARPAGON : 23\n", + "LA FLÈCHE : 5\n", + "MAÎTRE SIMON : 1\n", + "FROSINE : 10\n", + "MAÎTRE JACQUES : 9\n", + "LA MERLUCHE : 2\n", + "BRINDAVOINE : 2\n", + "MARIANE : 6\n", + "LE COMMISSAIRE : 3\n", + "ANSELME : 2\n" + ] + } + ], + "source": [ + "for k in range(0,len(liste)):\n", + " print(liste[k][0]+\" : \"+str(len(liste[k][1])))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "C'est sans suprise __Harpagon qui apparaît dans le plus grand nombre de scènes (23)__. __Maître Simon__ n'apparaît que dans une scène, mais de quelle scène s'agit-il ?" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MAÎTRE SIMON apparaît dans les scènes suivantes :\n", + "Acte II, scène 2\n" + ] + } + ], + "source": [ + "LS(\"MAÎTRE SIMON\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Par nombre de répliques" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Compter les scènes peut donner une idée globale, mais la longueur des scènes diffèrent, et on ne pondère pas nos données par l'importance du personnage dans cette scène. Cette section vient corriger ce problème en comptant le nombre de répliques de chaque personnages tout au long de la pièce. Le code suivant produit une liste dont chaque élément correpond à un personnage et est de la forme __[nom,nombre de répliques]__." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "nombre_repliques=[[],[]]\n", + "for replique in repliques:\n", + " if replique[1] in nombre_repliques[0]:\n", + " k=0\n", + " while nombre_repliques[0][k]!=replique[1]:\n", + " k+=1\n", + " nombre_repliques[1][k]+=1\n", + " else:\n", + " #première apparition\n", + " nombre_repliques[0]=nombre_repliques[0]+[replique[1]]\n", + " nombre_repliques[1]=nombre_repliques[1]+[1]\n", + "new_repliques=traitement(nombre_repliques)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Et on peut alors facilement donner la __liste des nombres de répliques par personnages__ :" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "VALÈRE : 101\n", + "ÉLISE : 51\n", + "CLÉANTE : 161\n", + "HARPAGON : 355\n", + "LA FLÈCHE : 66\n", + "MAÎTRE SIMON : 5\n", + "FROSINE : 60\n", + "MAÎTRE JACQUES : 85\n", + "LA MERLUCHE : 5\n", + "BRINDAVOINE : 3\n", + "MARIANE : 31\n", + "LE COMMISSAIRE : 17\n", + "ANSELME : 20\n" + ] + } + ], + "source": [ + "for L in new_repliques:\n", + " print(L[0]+\" : \"+str(L[1]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A nouveau, __Harpagon__ est en tête avec 355 répliques. La surprise porte plutôt sur les moins bavards : Maître Simon qui n'apparaissait que dans une scène prononce cinq répliques au cours de la pièce, quand __Brindavoine__, qui apparaît dans deux scènes, n'en prononce que trois." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Par nombre de mots" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On propose une dernière critique dans cette section : un personnage qui ne dirait qu'une longue tirade lors de la pièce a sûrement plus d'important qu'un personnage qui prononcerait deux ridicules et courtes répliques. On propose ici d'analyser le nombre de mots prononcés par chaque personnage toute au long de la pièce. Le code suivant produit une liste dont chaque élément correpond à un personnage et est de la forme __[nom,nombre de mots]__." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "nombre_mots=[[],[]]\n", + "for replique in repliques:\n", + " if replique[1] in nombre_mots[0]:\n", + " k=0\n", + " while nombre_mots[0][k]!=replique[1]:\n", + " k+=1\n", + " nombre_mots[1][k]+=compte_mots(replique[2])\n", + " else:\n", + " #première apparition\n", + " nombre_mots[0]=nombre_mots[0]+[replique[1]]\n", + " nombre_mots[1]=nombre_mots[1]+[compte_mots(replique[2])]\n", + "new_mots=traitement(nombre_mots)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On peut alors lister les personnages et le nombre de mots qu'ils prononcent :" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "VALÈRE : 2671\n", + "ÉLISE : 1050\n", + "CLÉANTE : 3284\n", + "HARPAGON : 5751\n", + "LA FLÈCHE : 1494\n", + "MAÎTRE SIMON : 197\n", + "FROSINE : 2110\n", + "MAÎTRE JACQUES : 1481\n", + "LA MERLUCHE : 51\n", + "BRINDAVOINE : 43\n", + "MARIANE : 907\n", + "LE COMMISSAIRE : 289\n", + "ANSELME : 513\n" + ] + } + ], + "source": [ + "for L in new_mots:\n", + " print(L[0]+\" : \"+str(L[1]))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hideCode": true, + "hideOutput": true + }, + "source": [ + "Une dernière fois, Harpagon est bien en tête. Maître Simon semble posséder des repliques relativement longues : elles sont composées en moyenne du nombre suivant de mots." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "39.4" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "new_mots[5][1]/new_repliques[5][1]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "__C'est la moyenne la plus élevé parmi tous les personnages !__" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "VALÈRE : 26.445544554455445\n", + "ÉLISE : 20.58823529411765\n", + "CLÉANTE : 20.39751552795031\n", + "HARPAGON : 16.2\n", + "LA FLÈCHE : 22.636363636363637\n", + "MAÎTRE SIMON : 39.4\n", + "FROSINE : 35.166666666666664\n", + "MAÎTRE JACQUES : 17.423529411764704\n", + "LA MERLUCHE : 10.2\n", + "BRINDAVOINE : 14.333333333333334\n", + "MARIANE : 29.258064516129032\n", + "LE COMMISSAIRE : 17.0\n" + ] + } + ], + "source": [ + "for k in range(0,12):\n", + " print(new_mots[k][0]+\" : \"+str(new_mots[k][1]/new_repliques[k][1]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On pourrait évidemment questionner la longueur de chaque mot prononcé par chaque personnage au cours de chaque scène, mais l'intérêt serait vite limité." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Nombre des mots par scène" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "__Consigne :__ Réalisez un graphique qui montrera le nombre de mots que chaque acteur prononce dans chaque scène. Pour cela, vous pouvez vous inspirer de [l'étude de l'Avare de Molière réalisée par l'OBVIL](https://obvil.sorbonne-universite.fr/corpus/moliere/moliere_avare) (graphe de gauche). Dans ce graphique, les lignes sont de longueur égale et la hauteur représente le nombre de mots prononcés au total dans la scène. La largeur de chaque rectangle indique le pourcentage de la scène qu’un acteur occupe." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Une simple modification du code de la sous-section nous offre une fonction qui à un __personnage__, un __acte__, et une __scène__, associe le nombre de mot qu'il y prononce." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "def nb_mots(perso,acte,scene):\n", + " nombre_mots=0\n", + " for replique in repliques:\n", + " if replique[1]==perso and replique[3]==acte and replique[4]==scene:\n", + " nombre_mots+=compte_mots(replique[2])\n", + " return nombre_mots" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On peut, par exemple, se demander combien de réplique prononce Harpagon dans la première scène de l'acte III :" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "602\n" + ] + } + ], + "source": [ + "perso=\"HARPAGON\"\n", + "acte=3\n", + "scene=1\n", + "print(nb_mots(perso,acte,scene))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Harpagon prononce 602 mots durant la première scène de l'acte III ! Représentons graphiquement toutes ces nouvelles données. Pour cela, on veut d'abord lister toutes les scènes et actes. Pour des questions de lisibilité, on fixe la nomenclature suivante : __concaténation(n° acte en chiffres romaines,n° scène)__. Par exemple, la troisième scène de l'acte deux correspondra au sigle _II3_. La fonction suivante liste des sigles pour un acte donné." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "def LSigleA(acte):\n", + " sigles=[]\n", + " for replique in repliques:\n", + " s=roman_num(replique[3])+str(replique[4])\n", + " if not(s in sigles) and replique[3]==acte:\n", + " sigles+=[s]\n", + " return sigles\n", + "\n", + "def LSceneA(acte):\n", + " scene=[]\n", + " for replique in repliques:\n", + " s=[replique[3],replique[4]]\n", + " if not(s in scene) and replique[3]==acte:\n", + " scene+=[s]\n", + " return scene" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Quant au programme suivant, il donne la __liste des personnages__ de la pièce :" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "list_perso=[]\n", + "for replique in repliques:\n", + " if not(replique[1] in list_perso):\n", + " list_perso+=[replique[1]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "La fonction suivante renvoie la liste contenant pour chaque personnage une liste avec le nombre de mots prononcés à chaque scène d'un acte donné" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "def donnee(acte):\n", + " M=[]\n", + " for k in range(0,len(list_perso)):\n", + " m=[]\n", + " for actsc in LSceneA(acte):\n", + " if actsc[0]==acte:\n", + " m+=[nb_mots(list_perso[k],actsc[0],actsc[1])]\n", + " M+=[m]\n", + " return M" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On trace la donnée calculée avec des __diagrammes bâtons empilés__ :" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "def plot_acte(acte):\n", + " df=donnee(acte)\n", + " fig, ax = plt.subplots()\n", + " for k in range(0,len(list_perso)):\n", + " ax.bar(LSigleA(acte), df[k], label=list_perso[k])\n", + " ax.set_xlabel(\"Scènes de l'acte \"+roman_num(acte))\n", + " ax.set_ylabel(\"Nombre de mots\")\n", + " ax.set_title(\"Nombre de mots prononcé par scène et personnages durant l'acte \"+roman_num(acte))\n", + " ax.legend()\n", + " plt.show()\n", + " return None\n", + "plt.rcParams['figure.figsize'] = [12, 5]\n", + "plot_acte(3)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On peut évidemment réaliser le même rendu pour tous les actes :" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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mZl9G21ZTTUREREREYkCJt4iIiIhIDCjxFhERERGJASXeIiIiIiIxoMRbRERERCQGlHiLiIiIiMSAEm8RERERkRhQ4i0iIiIiEgNKvEVEREREYkCJt4iIiIhIDCjxFhERERGJgdrVHYCIiIjIiWTT2A+qOwSJIHFyp+oOoUw64y0iIiIiEgNKvEVEREREYkCJt4iIiIhIDCjxFhERERGJASXeIiIiIiIxoMRbRERERCQGlHiLiIiIiMSAEm8RERERkRiossTbzP5sZjvMbEVY2VQzW21my83sDTM7M6xunJnlmdkaM+sWVt7OzP7t1z1uZlZVMYuIiIiIVJWqPOM9Hbi+SNlcoLVzri3wBTAOwMxSgf5AK3+bp8wszt/maWAY0Mx/FO1TREREROS4V2WJt3NuIbCrSNnfnXNH/JcfA4n+855AjnPukHNuA5AHXGpm5wL1nXMfOecc8BLQq6piFhERERGpKtU5x3sI8I7/vDHwVVjdJr+ssf+8aLmIiIiIyAmlWhJvM/stcASYUVAUoZkrpbykfoeZ2SIzW7Rz586KByoiIiIiUklinnib2SCgBzDAnz4C3pnsJmHNEoEtfnlihPKInHPPOefSnXPpjRo1qtzARUREREQqIKaJt5ldD/wGuNk5tz+sajbQ38xONbNkvIsoP3XObQX2mtnl/momPwdmxTJmEREREZHKULuqOjazbKAL0NDMNgH34a1iciow118V8GPn3B3OuZVm9irwOd4UlOHOuaN+V3firZASjzcn/B1ERERERE4wVZZ4O+cyIhT/qZT2k4BJEcoXAa0rMTQRERERkZjTnStFRERERGJAibeIiIiISAwo8RYRERERiQEl3iIiIiIiMaDEW0REREQkBpR4i4iIiIjEgBJvEREREZEYUOItIiIiIhIDSrxFRERERGJAibeIiIiISAwo8RYRERERiQEl3iIiIiIiMaDEW0REREQkBpR4i4iIiIjEgBJvEREREZEYUOItIiIiIhIDSrxFRERERGJAibeIiIiISAwo8RYRERERiQEl3iIiIiIiMaDEW0REREQkBpR4i4iIiIjEgBJvEREREZEYUOItIiIiIhIDSrxFRERERGJAibeIiIiISAwo8RYRERERiQEl3iIiIiIiMaDEW0REREQkBpR4i4iIiIjEgBJvEREREZEYUOItIiIiIhIDVZZ4m9mfzWyHma0IKzvbzOaa2Vr/37PC6saZWZ6ZrTGzbmHl7czs337d42ZmVRWziIiIiEhVqcoz3tOB64uUjQXmOeeaAfP815hZKtAfaOVv85SZxfnbPA0MA5r5j6J9ioiIiIgc96os8XbOLQR2FSnuCbzoP38R6BVWnuOcO+Sc2wDkAZea2blAfefcR845B7wUto2IiIiIyAkj1nO8f+yc2wrg//sjv7wx8FVYu01+WWP/edFyEREREZETSu3qDsAXad62K6U8cidmw/CmpdC0adPKiUxETlrff/89mzZt4uDBg9UdilSB0047jcTEROrUqVPdoYjISSLWifd2MzvXObfVn0aywy/fBDQJa5cIbPHLEyOUR+Scew54DiA9Pb3EBF1EJBqbNm3i9NNPJykpCV3XXbM45/j666/ZtGkTycnJ1R2OiJwkYj3VZDYwyH8+CJgVVt7fzE41s2S8iyg/9aej7DWzy/3VTH4eto2ISJU6ePAgDRo0qDFJ9xtvvMFvfvOb6g7juGBmNGjQQH/NEJGYqrIz3maWDXQBGprZJuA+YDLwqpkNBTYCPwVwzq00s1eBz4EjwHDn3FG/qzvxVkiJB97xHyIiMVFTkm6A3r17s2/fPg4fPswpp5xS3eFUu5r03orIiaEqVzXJcM6d65yr45xLdM79yTn3tXPuGudcM//fXWHtJznnUpxzzZ1z74SVL3LOtfbrRvirm4iI1HhdunTh3XffLVT26KOP8stf/hKAadOmcdppp/Htt9+G6hcsWECPHj0i9tW8eXMeeughLr30Uvr06QNAVlYWjRs3JhAIkJqaSnZ2dmibwYMHk5ycTCAQIBAI0LFjx6rYTRGRk8bxcnGliMhxL2ns25XaX3DyjaXWZ2RkkJOTQ7duoXuKkZOTw9SpUwHIzs6mffv2vPHGGwwePLjM8WbMmEF6enqx8rvuuosxY8awdu1a2rVrR58+fUIXHE6dOjWUpIuISMXolvEiIsepPn368NZbb3Ho0CEAgsEgW7Zs4corr2TdunV89913TJw4sdBZ6opo1qwZdevWZffu3ZXSn4iIFKbEW0TkONWgQQMuvfRS5syZA3hnu/v164eZkZ2dTUZGBp06dWLNmjXs2LGjjN5gwIABoWkjmZmZxeqXLFlCs2bN+NGPfhQqy8zMDG0zYMCAyts5EZGTkKaaiIgcxwqmm/Ts2ZOcnBz+/Oc/A14S/sYbb1CrVi1+8pOfMHPmTIYPH15qXyVNNZk2bRrPP/8869evDyX5BTTVRESk8uiMt4jIcaxXr17MmzePJUuWcODAAS655BKWL1/O2rVrue6660hKSiInJ6dC003uuusu1qxZQ25uLj//+c+1xJ6ISBVR4i0ichxLSEigS5cuDBkyhIyMDMC7qDIrK4tgMBia971582a+/PLLCo31k5/8hPT0dF588cXKCF1ERIpQ4i0icpzLyMhg2bJl9O/fH/CmmfTu3btQm969e5OTkwPAvHnzSExMDD0++ugjoPAc72uvvTbiWBMmTOCRRx4hPz8fKDzHOxAIcPjw4araTRGRGs9q6rLY6enpbtGiRdUdhoicwFatWkXLli2rOwypQnqPpTw2jf2gukOQCBInd6qWcc1ssXOu+AU0EeiMt4iIiIhIDCjxFhERERGJASXeIiIiIiIxoMRbRERERCQGlHiLiBzn8vPz6datGxs3bqzuUEREpAKUeIuIHOc2bNjAvffeS9OmTas7FBERqQAl3iIix7G4uDhuueUWRo0aRSAQYPLkyQB06dKFokumLliwgB49egCwfft2evToQVpaGqmpqXTv3h2AYDBIfHx8obW5X3rppdjulIjISap2dQcgInLCyDqjkvv7tswm8fHxLF269Ji7njBhAtdddx2jRo0CYPny5aG6lJSUcvUpIiIVozPeIiI10NatW0lMTAy9btu2bTVGIyIioDPele7JO96v7hAkguHPXF3dIYiUy4EDBwgEAqHX48aNo1+/fmVuN3z4cPr168cTTzzBtddey2233cZ5550HwLp16wr1+Yc//IFOnarnjm8iIicTJd4iIsex8k416datG+vXr2fOnDm88847XHzxxaxYsQLQVBMRkeqiqSYiIjXU2Wefza233srLL79M+/btWbhwYXWHJCJyUlPiLSJSA73//vvs378fgL1797Ju3TotRygiUs001URE5DhWdI739ddfH1pS8MYbb6ROnToAdOjQgeHDh4faLV68mBEjRlC7dm3y8/O5/fbbad++PcFgsNgc7yFDhjBy5MgY7ZGIyMlLibeISLSiWP6vsh09ejRi+YIFCyKWd+nSBYDMzEwyMzOL1SclJXHgwIHKCk9ERI6BppqIiIiIiMRAmYm3mV1hZvX85z8zs0fM7PyqD01EREREpOaI5oz308B+M0sD7gG+BHR/YRERERGRYxBN4n3EOeeAnsBjzrnHgNOrNiwRERERkZolmosr95rZOOBnQGcziwPqVG1YIiJSXo8//ji1atVixIgR1R2KiIiEieaMdz/gEDDUObcNaAxMrdKoRESk3BISEpR0i4gch6JJvO9yzj3inPsAwDm3EWhVtWGJiAjAtm3b6N+/PykpKaSmptK9e3e++OILWrduXazt4MGDSU5O5vHHHycQCNCxY8dC9T179qRDhw6FyrKysqhbty47duwIlSUkJPD1118TCAQIBAKcc845NG7cOPT68OHDxMXFhV4HAoHQ2uIiIlKyaKaaXAf8pkjZDRHKRERqtDYvtqnU/v496N+l1jvn6N27N4MGDSInJweApUuXsn379hK3mTp1Kn369ClW/s0337BkyRISEhLYsGEDycnJobqGDRvy8MMPM2XKlFBZgwYNWLp0KeAl5wkJCYwZMyZUHx8fH6oXEZHolHjG28zuNLN/A83NbHnYYwOwPHYhioicnObPn0+dOnW44447QmWBQIAmTZocc1+vv/46N910E/379w8l8QWGDBlCbm4uu3btqnDMIiJSstKmmrwC3ATM9v8teLRzzv2sIoOa2V1mttLMVphZtpmdZmZnm9lcM1vr/3tWWPtxZpZnZmvMrFtFxhYROVGsWLGCdu3aHdM2mZmZoekfAwYMCJVnZ2eTkZFBRkYG2dnZhbZJSEhgyJAhPPbYY1GPU3Ar+4JHbm7uMcUpInIyKnGqiXPuW+BbIMNfw7uTX/UBUO7TImbWGBgJpDrnDpjZq0B/IBWY55ybbGZjgbHAb8ws1a9vBZwHvGdmFznnIt9HWUTkJBZpqsn27dvJy8vjyiuvxMyoXbs2K1asKDRPfOTIkQQCAUaPHh3VOJpqIiJy7KK5c+VIYAbwI//xFzP7VQXHrQ3Em1ltoC6wBW+d8Bf9+heBXv7znkCOc+6Qc24DkAdcWsHxRUSOe61atWLx4sUV7ic3N5fdu3eTnJxMUlISwWCw2HSTM888k1tvvZWnnnqqwuOJiEhk0axqcjtwmXNugnNuAnA58N/lHdA5txl4CNgIbAW+dc79Hfixc26r32YrXpIP3vKFX4V1sckvExGp0a6++moOHTrE888/Hyr77LPP+PLLL4+pn+zsbObMmUMwGCQYDLJ48eJiiTfA3XffzbPPPsuRI0cqHLuIiBQXTeJtQPi0jqN+Wbn4c7d7Asl4U0fqmVlpc8YjjeVK6HuYmS0ys0U7d+4sb4giIscFM+ONN95g7ty5pKSk0KpVK7KysjjvvPNYs2YNiYmJocfMmTOBwnO8A4EAX3zxBRs3buTyyy8P9ZucnEz9+vX55JNPCo3XsGFDevfuzaFDh8qMregc77Fjx1buzouI1EDRLCf4AvCJmb3hv+4F/KkCY14LbHDO7QQws78CHYHtZnauc26rmZ0LFCwquwkIv4Q/EW9qSjHOueeA5wDS09MjJuciIuVV1vJ/VeG8887j1VdfLVb+/fffFyv76U9/GrGPzZs3FytbsmQJAJdddlmh8kceeYRHHnmkUFlWVlax7Y8e1WU2IiLHqswz3s65R4Db8C6o3A3c5px7tAJjbgQuN7O6ZmbANcAqvNVTBvltBgGz/Oezgf5mdqqZJQPNgE8rML6IiIiISMxFc8YbYANwxG9vZnaJc25JeQZ0zn1iZq8BS/w+/4V3ljoBeNXMhuIl5z/126/0Vz753G8/XCuaiIiIiMiJpszE28x+DwwG1vHD3GoHXF3eQZ1z9wH3FSk+hHf2O1L7ScCk8o4nIiIiIlLdojnj3RdIcc4drupgRERERERqqmhWNVkBnFnVgYiIiIiI1GTRnPF+APiXma3Amw4CgHPu5iqLSkRERESkhonmjPeLwBRgMvBw2ENERKpYQkJCodfTp09nxIgRhcrS0tLIyMgoVDZ48GCSk5MJBAKkpaUxb968UF2XLl1o3rw5aWlpXHHFFaxZsyZUt3PnTurUqcOzzz5bqL/vvvuOO++8k5SUFC6++GLatWtX6MY+K1eu5Oqrr+aiiy6iWbNm/P73v8c5F4q5Vq1aLF++PNS+devWBIPB8h0UEZETVDRnvP/jnHu8yiMRETnOrWrRslL7a7l6VYX7WLVqFfn5+SxcuJB9+/ZRr169UN3UqVPp06cP8+fPZ9iwYaxduzZUN2PGDNLT03nuuefIzMxk9uzZAMycOZPLL7+c7OxsfvGLX4Ta33777VxwwQWsXbuWWrVqsXPnTv785z8D3s10br75Zp5++mm6du3K/v37ueWWW3jqqacYPnw4AImJiUyaNInc3NwK77OIyIkqmjPei83sATPrYGaXFDyqPDIRESnTK6+8wsCBA+natWsoeS6qQ4cOEW+iA9C5c2fy8vJCr7Ozs3n44YfZtGlTaJt169bx6aefMnHiRGrV8v7baNSoEb/5zW9CMVxxxRV07doVgLp16/LEE08wefLkUL89evRg5cqVhc6ui4icbKI5432x/+95Gl8eAAAgAElEQVTlYWUVWk5QRESiU3Br9gK7du3i5pt/uMQmNzeXuXPnsmbNGp544oliU04A5syZQ69evSL2/7e//Y02bdoA8NVXX7Ft2zYuvfRS+vbtS25uLnfffTcrV64kLS0tlHQXtXLlStq1a1eoLCUlhe+++449e/YAUKtWLe655x7uv/9+XnzxxWM7CCIiNUSZibdz7qpYBCIiIsXFx8ezdOnS0Ovp06ezaNEiAD777DMaNWrE+eefT2JiIkOGDGH37t2cddZZAGRmZnLPPfewY8cOPv7440L9DhgwgPj4eJKSkvjDH/4AQE5ODn379gWgf//+DB06lLvvvrtYTJMmTWLmzJns2LGDLVu24JzDuxFxceHlt956K5MmTWLDhg0VOCIiIieuaKaaiIjIcSg7O5vVq1eTlJRESkoKe/bs4fXXXw/VT506lby8PCZOnMigQYMKbTtjxgyWLl3Km2++SZMmTUL9TZ8+naSkJG6++WaWLVvG2rVrSU1NZdmyZeTn5wPw29/+lqVLl4bOZrdq1Sr0y0CB9evXk5CQwOmnnx4qq127NqNHj2bKlClVcjxERI53SrxFRE5A+fn5zJw5k+XLlxMMBgkGg8yaNYvs7OxC7WrVqsWoUaPIz8/n3XffLbG/NWvWsG/fPjZv3hzqb9y4ceTk5HDhhReSnp7O+PHjOXr0KAAHDx4MrVoyYMAA/vnPf/Lee+8B3vSYkSNHcs899xQbZ/Dgwbz33nvs3Lmzsg6FiMgJQ4m3iMgJaOHChTRu3JjGjRuHyjp37sznn3/O1q1bC7U1M8aPH8+DDz5YYn/Z2dn07t27UNktt9wSSuT/+Mc/8vXXX3PhhRfSrl07rr322tCZ6/j4eGbNmsXEiRNp3rw5bdq0oX379sWWPQQ45ZRTGDlyJDt27Cj3vouInKis4IxFiQ3M6gKjgabOuf82s2ZAc+fcW7EIsLzS09Nd0T99xsKTd7wf8zGlbMOf0bXAcuxWrVpFy5aVu4SgHF/0Hkt5bBr7QXWHIBEkTu5ULeOa2WLnXHo0baM54/0C3h0rO/ivNwETyxmbiIiIiMhJKZrEO8U59yDwPYBz7gAQ+fJ1ERERERGJKJrE+7CZxeOt3Y2ZpeCdARcRERERkShFcwOd+4A5QBMzmwFcAQyuyqBERERERGqaMs94O+fmAj/BS7azgXTn3IKqDUtERGLt8OHDdO3alS1btlR3KCIiNVKJZ7zN7JIiRQXrUzU1s6bOuSVVF5aIiMTaKaecwnPPPceqVas477zzqjscEZEap7Qz3g/7jyeBT4DngOf9549XfWgiIpKQkFBiXVpaGhkZGSXWZ2Vl0bhxYwKBAIFAgLFjxwLQpUuXYneaXLBgAWeccQa9evVi9OjRBAKB0A1xtm3bRv/+/UlJSSE1NZXu3bvzxRdfEAwGad26dbExH3roIcC7WU5ycnJo/I4dO5brGIiI1BQlnvF2zl0FYGY5wDDn3L/9162BMbEJT0Tk+FHZ6/RXZH35VatWkZ+fz8KFC9m3bx/16tWL2O6uu+5izJjofmR36tSJt94qfIsG5xy9e/dm0KBB5OTkALB06VK2b98eutV8aaZOnUqfPn2iGl9EpKaLZlWTFgVJN4BzbgUQqLqQRESkLK+88goDBw6ka9euzJ49u8rGmT9/PnXq1OGOO+4IlQUCATp1qp4bVYiInMiiSbxXmdkfzayLmf2XmT0PrKrqwEREpGS5ubn069ePjIyM0G3dI5k2bVpoqse7775bap8ffPBBqG0gEGDdunWsWLGCdu3albjNunXrCm3zzDPPFKrPzMwM1Q0YMODYdlJEpIaJZjnB24A7gVH+64XA01UWkYiIlOqzzz6jUaNGnH/++SQmJjJkyBB2797NWWedVaxtRaealCUlJYWlS5eGXmdlZRWq11QTEZEfRLOc4EHn3DTnXG//Mc05dzAWwYmISHHZ2dmsXr2apKQkUlJS2LNnD6+//nqVjNWqVSsWL15cJX2LiJxsoplqIiIix4n8/HxmzpzJ8uXLCQaDBINBZs2aVep0k4q4+uqrOXToEM8//3yo7LPPPuMf//hHlYwnIlKTKfEWETmO7d+/n8TExNDj0UcfpXHjxjRu3DjUpnPnznz++eds3bq1lJ4Ku/HGG0N9/vSnPwWKz/F+7bXXMDPeeOMN5s6dS0pKCq1atSIrKyvqdb7D53gHAgEOHz58bAdARKQGMedcdA3N6jnn9lVxPJUmPT3dFV2nNhYqe7kxqRwVWbZNTl6rVq2iZcuW1R2GVCG9x1Iem8Z+UN0hSASJk6tntSUzW+ycS4+mbZlnvM2so5l9jr+SiZmlmdlTFYxRREREROSkEs1Uk2lAN+BrAOfcMqBzVQYlIiIiIlLTRDXH2zn3VZGio1UQi4iIiIhIjRXNOt5fmVlHwJnZKcBIdAMdEREREZFjEs0Z7zuA4UBjYBPe7eKHV2VQIiJSMUeOHKF379707duX/Pz86g5HREQo44y3mcUBA51zlXqfXzM7E/gj0BpwwBBgDZALJAFBoK9zbrfffhwwFG+Ky0jnXOn3PRYROcnl5eUxYcIEDh8+zIYNG0hJSanukERETnqlnvF2zh0FelbBuI8Bc5xzLYA0vKkrY4F5zrlmwDz/NWaWCvQHWgHXA0/5vxCIiNR4ZsbAgQNDr48cOUKjRo3o0aNHoXY9e/akQ4cOodctWrRg1qxZfPDBBzzyyCMEAgFSU1OJj48vtE734MGDSU5OJhAIkJaWxrx580J9dOnShebNm4faR7r1+/bt2+nRowdpaWmkpqbSvXt3AILBIK1btwZgwYIFmBl/+tOfQtv961//wsx46KGHAHDOMXHiRJo1a8ZFF13EVVddxcqVK0Ptk5KSuOWWW0KvC2IXETmRRDPH+//M7Am8s9Ghdbydc0vKM6CZ1cdbFWWw389h4LCZ9QS6+M1eBBYAv8FL/HOcc4eADWaWB1wKfFSe8UVEyuvhfj3KbnQMRue+VWabevXqsWLFCg4cOEB8fDxz584tdPMcgG+++YYlS5aQkJDAhg0bSE5OLlT/5JNPAl4y3KNHD5YuXRqqe+utt5g6dSp9+vRh/vz5DBs2jLVr14bqZ8yYQXp6ycvTTpgwgeuuu45Ro0YBsHz58ojt2rRpQ25uLkOHDgUgJyeHtLS0QjF++OGHLFu2jLp16/L3v/+dm2++mZUrV3LaaacBsGjRIlauXEmrVq3KPG4iIsejaOZ4d8Q72/w74GH/8VAFxrwA2Am8YGb/MrM/mlk94MfOua0A/r8/8ts3BsJXVdnkl4mInBRuuOEG3n77bQCys7PJyMgoVP/6669z00030b9/f3Jycso9TocOHdi8efMxbbN161YSExNDr9u2bRuxXdOmTTl48CDbt2/HOcecOXO44YYbQvVTpkzhD3/4A3Xr1gWga9eudOzYkRkzZoTajBkzhvvvv/+Y4hMROZ6UmXg7566K8KjIbQBrA5cATzvnLsY7iz62lPYWKayIDc2GmdkiM1u0c+fOCoQoInL8KEioDx48yPLly7nssssK1Rck4xkZGWRnZ5d7nDlz5tCrV69CZQMGDAhNNcnMzCy2zfDhwxk6dChXXXUVkyZNYsuWLSX236dPH2bOnMmHH37IJZdcwqmnngrAnj172LdvX7F56Onp6YWmm/Tt25clS5aQl5dX7n0UEalOZU41MbMGwH3AlXgJ7z+B3znnvi7nmJuATc65T/zXr+El3tvN7Fzn3FYzOxfYEda+Sdj2iUDEn+zOueeA58C7ZXw54xMROa60bduWYDBIdnZ2aA51ge3bt5OXl8eVV16JmVG7dm1WrFgRml8djczMTO655x527NjBxx9/XKiurKkm3bp1Y/369cyZM4d33nmHiy++mBUrVkRs27dvX/r168fq1avJyMjgww8/LDUu5xxmP5x7iYuLIzMzkwceeKDQ2XIRkRNFNFNNcvCmhtwC9PGf55Z3QOfcNry1wZv7RdcAnwOzgUF+2SBglv98NtDfzE41s2SgGfBpeccXETkR3XzzzYwZM6bYNJPc3Fx2795NcnIySUlJBIPBY55uMnXqVPLy8pg4cSKDBg0qe4Mizj77bG699VZefvll2rdvz8KFCyO2O+ecc6hTpw5z587lmmuuCZXXr1+fevXqsX79+kLtlyxZQmpqaqGygQMHsnDhQjZu3HjMcYqIVLdoEu+znXO/d85t8B8TgTMrOO6vgBlmthxvXfD7gcnAdWa2FrjOf41zbiXwKl5yPgcY7q+2IiJy0hgyZAgTJkygTZs2hcqzs7OZM2cOwWCQYDDI4sWLyzXPu1atWowaNYr8/HzefTf6FVvff/999u/fD8DevXtZt24dTZs2LbH97373O6ZMmUJcXOHFqTIzMxk5ciQHDhwA4L333uOf//wnt956a6F2derU4a677uLRRx+NOkYRkeNFNKuazDez/njJL3hnvd+uyKDOuaVApL9dXhOhDOfcJGBSRcYUETmRJSYmhlYOKRAMBtm4cSOXX355qCw5OZn69evzySefFO2iTGbG+PHjefDBB+nWrRvgzfGOj48HoGHDhrz33nuFtlm8eDEjRoygdu3a5Ofnc/vtt9O+fXuCwWDEMTp27Bix/Fe/+hW7d++mTZs2xMXFcc455zBr1qzQ2OGGDh3KxIkTj3n/RESqmzkXeSq0me3Fm9NtQD2g4NZntYDvnHP1YxJhOaWnp7tFixbFfNwn73g/5mNK2YY/U5HrgeVktWrVKlq2bFndYUgV0nss5bFp7AfVHYJEkDi5U7WMa2aLnXMlXwwTpsQz3s650ysvJBERERGRk1s0U00ws7Z4t3IPtXfO/bWKYhIRERERqXGiWU7wz0BbYCU/TDdxgBJvEREREZEoRXPG+3LnXGrZzUREREREpCTRLCf4kZkp8RYRERERqYBozni/iJd8bwMO4a1y4pxzbas0MhERERGRGiSaM95/BgYC1wM3AT38f0VEpIrFxcURCARCj2AwyIIFCzjjjDO4+OKLadGiBWPGjCm0zZtvvknbtm1p0aIFbdq04c033wzVffzxx1x22WUEAgFatmxJVlYWANOnT2fEiBEAZGVlUbduXXbs2BHaLiEhocSYJk+eXIVHQESk5ojmjPdG59zsKo9EROQ4V9lr90az5mx8fDxLly4tVBYMBunUqRNvvfUWBw4c4OKLL6Z3795cccUVLFu2jDFjxjB37lySk5PZsGED1113HRdccAFt27Zl0KBBvPrqq6SlpXH06FHWrFkTcdyGDRvy8MMPM2XKlKhiEhGRskVzxnu1mb1iZhlm9pOCR5VHJiIiZYqPjycQCLB582YAHnroIe69916Sk5MB706W48aNY+rUqQDs2LGDc889F/DOXKemRr6EZ8iQIeTm5rJr164Y7IWIyMkhmsQ7Hm9ud1e8KSYF001ERKSKHThwIDSlo3fv3sXqd+/ezdq1a+ncuTMAK1eupF27doXapKens3LlSgDuuusumjdvTu/evXn22Wc5ePBgxHETEhIYMmQIjz32WKkxBQIBcnNzK7qbIiInhTKnmjjnbotFICIiUlxJ0zo++OAD2rZty5o1axg7diznnHMOAM45zKxQ2/CyCRMmMGDAAP7+97/zyiuvkJ2dzYIFCyKOPXLkSAKBAKNHj44qJhERKV2ZZ7zNLNHM3jCzHWa23cxeN7PEWAQnIiKRderUieXLl/Pvf/+bp59+OpQIt2rVikWLFhVqu2TJkkJTSlJSUrjzzjuZN28ey5Yt4+uvv444xplnnsmtt97KU089VXU7IiJyEolmqskLwGzgPKAx8De/TEREqtlFF13EuHHjQhdBjhkzhgceeIBgMAh4F2Lef//9obPWb7/9Ns45ANauXUtcXBxnnnlmif3ffffdPPvssxw5cqRqd0RE5CQQTeLdyDn3gnPuiP+YDjSq4rhERCRKd9xxBwsXLmTDhg0EAgGmTJnCTTfdRIsWLbjpppt48MEHCQQCALz88ss0b96cQCDAwIEDmTFjBnFxcSX23bBhQ3r37s2hQ4dCZUXneI8dO7bK91FEpCawgjMfJTYwew+YDmT7RRnAbc65a6o2tIpJT093Rf/cGgtP3vF+zMeUsg1/5urqDkFOQKtWraJly5bVHYZUIb3HUh6VvbSoVI5olmitCma22DmXHk3baM54DwH6AtuArUAfv0xERERERKIUzaomG4GbYxCLiIiIiEiNVWLibWYTStnOOed+XwXxiIiIiIjUSKWd8d4XoaweMBRoACjxFhERERGJUomJt3Pu4YLnZnY6MAq4DcgBHi5pOxERERERKa7UOd5mdjZwNzAAeBG4xDm3OxaBiYiIiIjUJCWuamJmU4HPgL1AG+dclpJuEZETw5EjR+jduzd9+/YlPz+/usMRERFKP+M9GjgEjAd+a2YF5YZ3cWX9Ko5NRETKKS8vjwkTJnD48GE2bNhASkpKdYckInLSK/GMt3OulnMu3jl3unOuftjjdCXdIiKxYWYMHDgw9PrIkSM0atSIHj16FGrXs2dPOnToEHrdokULZs2axQcffMAjjzxCIBAgNTWV+Pj40B0nX3vtNQYPHkxycjKBQIC0tDTmzZsX6qNLly6hu1wGAgH69OlTLL7p06czYsSIQmVpaWlkZGQUa/vQQw/RokULWrduTVpaGi+99BIAhw8f5te//jUpKSlceOGF9OjRg40bNwLeLe9bt25dqJ+srCweeughgELxBwIBOnbsCMD27dvp0aMHaWlppKam0r1797IPtohIFStzHW8REfFkZWXFvL969eqxYsUKDhw4QHx8PHPnzqVx48aF2nzzzTcsWbKEhIQENmzYQHJycqH6J598EvCS2B49erB06dJQ3VtvvcXUqVPp06cP8+fPZ9iwYaxduzZUP2PGDNLTo7ohG+DdCTI/P5+FCxeyb98+6tWrB8AzzzzD3Llz+fTTT6lfvz7ffvstb775JgD33nsve/fu5YsvviAuLo4XXniBnj17snjx4qjGLIg/3IQJE7juuusYNWoUAMuXL496H0REqko0d64UEZFqdMMNN/D2228DkJ2dXexs8uuvv85NN91E//79ycnJKfc4HTp0YPPmzRWK9ZVXXmHgwIF07dqV2bNnh8rvv/9+nnrqKerX9/5gesYZZzBo0CD279/PCy+8wLRp04iLiwPgtttuIyEhgffee6/ccWzdupXExMTQ67Zt25a7LxGRyqLEW0TkOFeQUB88eJDly5dz2WWXFaovSMYzMjLIzs4u9zhz5syhV69ehcoGDBgQmsaRmZlZZh+5ubn069evUCx79+5l7969EeeZ5+Xl0bRp01BCXiA9PZ3PP/88qrgzMzNDMQ4YMACA4cOHM3ToUK666iomTZrEli1boupLRKQqaaqJiMhxrm3btgSDQbKzs4vNVd6+fTt5eXlceeWVmBm1a9dmxYoVxeZFlyYzM5N77rmHHTt28PHHHxeqO5apJp999hmNGjXi/PPPJzExkSFDhrB7927i4uIIu0C/EOdcxDrnHECJ24WXR5pq0q1bN9avX8+cOXN45513uPjii1mxYgWNGjWKal9ERKqCzniLiJwAbr75ZsaMGVNsmklubi67d+8mOTmZpKQkgsHgMU83mTp1Knl5eUycOJFBgwaVO8bs7GxWr15NUlISKSkp7Nmzh9dff5369etTr1491q9fX2ybCy+8kC+//JK9e/cWKl+yZAnp6ek0aNCA3bsLr2S7a9cuGjZsWGY8Z599Nrfeeisvv/wy7du3Z+HCheXeNxGRyqDEW0TkBDBkyBAmTJhAmzZtCpVnZ2czZ84cgsEgwWCQxYsXl2ued61atRg1ahT5+fm8++67x7x9fn4+M2fOZPny5aFYZs2aFZpuMm7cOIYPH86ePXsA2LNnD8899xz16tVj0KBB3H333Rw9ehSAl156idNOO40rrriChIQEzj333NBqK7t27WLOnDlceeWVpcbz/vvvs3//fsCb6rJu3TqaNm16zPslIlKZNNVEROQEkJiYGFqho0AwGGTjxo1cfvnlobLk5GTq16/PJ598csxjmBnjx4/nwQcfpFu3boA3xzs+Ph6Ahg0bFrvg8ciRI5x66qksXLiQxo0bF1pxpXPnznz++eds3bqVO++8k++++4727dtTp04d6tSpw+jRowF44IEHyMzMpHnz5hw4cIBGjRrx0UcfhaaTvPTSSwwfPjzU/r777is0XzwzM5OJEyeGXn/66acsXryYESNGULt2bfLz87n99ttp3779MR8TEZHKZAXz6GI+sFkcsAjY7Jzr4d+ePhdIAoJA34I7ZZrZOGAocBQY6Zwr83RMenq6W7RoURVFX7In73g/5mNK2YY/c3V1hyAnoFWrVtGyZcvqDuO4dtddd9GsWTN++ctfVkp/27Zt4/rrr+eXv/wlw4YNq5Q+S6P3WMpj09gPqjsEiSBxcqdqGdfMFjvnoroYpjrPeI8CVgEFl7KPBeY55yab2Vj/9W/MLBXoD7QCzgPeM7OLnHNHqyNoERHx3HDDDRw+fLhS1zc/55xzCq0zLiJSk1TLHG8zSwRuBP4YVtwTeNF//iLQK6w8xzl3yDm3AcgDLo1VrCIiEtk777zDvHnzOOOMM6o7FBGRE0J1XVz5KHAPkB9W9mPn3FYA/98f+eWNga/C2m3yy0REREREThgxT7zNrAewwzkX3b2AIdIirhEnppvZMDNbZGaLdu7cWe4YRUREREQqW3Wc8b4CuNnMgkAOcLWZ/QXYbmbnAvj/7vDbbwKahG2fCES8BZlz7jnnXLpzLl03SRARERGR40nME2/n3DjnXKJzLgnvosn3nXM/A2YDBXduGATM8p/PBvqb2almlgw0Az6NcdgiIiIiIhVyPN1AZzJwnZmtBa7zX+OcWwm8CnwOzAGGa0UTETlZJCQklFiXlpZW7E6W4bKysjAz8vLyQmXTpk3DzChYbjUpKYk2bdoQCAQIBAKMHDkSgMGDB5OcnEwgECAtLS10AxuALl26UHS51unTpzNixIhCZeHtvvvuO37xi1+QkpJCq1at6Ny5c2it8aL7GN5XVlYWjRs3DsUXCAT45ptvStxnEZHjWbXeQMc5twBY4D//GrimhHaTgEkxC0xEJIJ576eU3egYXHP1unJvu2rVKvLz81m4cCH79u2jXr16Edu1adOGnJwcxo8fD8Brr71GampqoTbz58+PeAv2qVOn0qdPH+bPn8+wYcNYu3ZtueO9/fbbSU5OZu3atdSqVYv169ezatWqqLa96667GDNmTLnHFhE5XhxPZ7xFRCRKr7zyCgMHDqRr167Mnj27xHa9evVi1ixv5t769es544wzONZrYDp06MDmzZvLHeu6dev45JNPmDhxIrVqef/tXHDBBdx4443l7lNE5ESkxFtE5ASUm5tLv379yMjIIDs7u8R29evXp0mTJqxYsYLs7Gz69etXrM1VV10VmsYxbdq0YvVz5syhV69excqjtXLlSgKBAHFxcRHrDxw4UGgqyYQJEwrVT5s2LVR31VVXlTsOEZHqVq1TTURE5Nh99tlnNGrUiPPPP5/ExESGDBnC7t27OeussyK279+/Pzk5Obz77rvMmzePF154oVB9SVNNMjMzueeee9ixYwcff/xxqTGZRVr5teTycPHx8YXuVjl9+vRCc8g11UREagqd8RYROcFkZ2ezevVqkpKSSElJYc+ePbz++usltr/pppt4+eWXadq0KfXr1496nKlTp5KXl8fEiRMZNGhQqW0bNGjA7t27C5Xt2rWLhg0b0qpVK5YtW0Z+fn4JW4uInByUeIuInEDy8/OZOXMmy5cvJxgMEgwGmTVrVqnTTeLj45kyZQq//e1vj3m8WrVqMWrUKPLz83n33XdLbNe+fXv+7//+j23btgGwaNEiDh06RJMmTUhJSSE9PZ377rsP57z7n61duzY091xE5GShqSYiIsex/fv3k5iYGHp9991307hxYxo3bhwq69y5M59//jlbt27l3HPPjdhP//79SxzjqquuCs2/btu2LS+99FKhejNj/PjxPPjgg3Tr1g2AG2+8kTp16gDexZczZ87kscceo3v37uTn55OQkEB2dnboYso//vGPjB49mgsvvJC6devSoEEDpk6dGtUxmDZtGn/5y19Cr998802SkpKi2lZE5HhiBWcfapr09HRXdJ3ZWHjyjvdjPqaUbfgzV1d3CHICWrVqFS1btqzuMKQK6T2W8tg09oPqDkEiSJzcqVrGNbPFzrn0aNpqqomIiIiISAwo8RYRERERiQEl3iIiIiIiMaDEW0REREQkBpR4i4iIiIjEgBJvEREREZEYUOItInIci4uLIxAIkJaWxiWXXMKHH34IQDAYJD4+nkAgQGpqKj//+c/5/vvvAViwYAE9evQAvNuv16pVi+XLl4f6bN26NcFgEICkpCTatGlDmzZtSE1NZfz48Rw6dKhQDNOmTeO0007j22+/BWDfvn00aNAg9LpAr169ePXVVwFvre22bdvSokUL2rRpw5tvvhlqN3jwYF577TUAunTpQnr6D6twLVq0iC5duoT24/+3d+/RUVV3/8ffXwJIAEHE2B8S06QIQriNEoKsGhfUh5tyB0nAgllV0AqiKVFBKIv2JxdtlfoorbqePj9YKpMglqioWFFQ0AdaCBGJkAIyyq0SolYQ4iNh//6YyTRDLoRLZnL5vNaaRc4++/I9cxb4dWeffVq3bo3H4wl+1q5de0Hfp4hIJOkFOiIi1fR/1uVd1P7+2d9z1jrR0dHk5fnHffvtt5k1axbvv/8+AB06dCAvL4+SkhIGDBjAihUruP3228v1ERsby/z588nOzq5wjHXr1nHFFVdw/PhxpkyZwpQpU1i2bFnwvNfrpXfv3qxatYr09HRatGjBwIEDycnJCb5K/l//+hcbN25k+fLlfPzxx2RmZombXiEAABpDSURBVPLOO++QkJDAvn37GDBgAD/5yU/o0aNHufGPHDnCW2+9xZAhQ8qdS0lJYfXq1Wf9nkRE6gLNeIuI1BHffvstbdq0KVceFRVFcnIyBw8erLDd0KFDyc/Pp6CgoMr+W7ZsybPPPktOTg5fffUVAHv37uX48eM8+uijIa+lHz9+PFlZWcHjVatWMXjwYJo3b87vf/97HnnkERISEgBISEhg1qxZlb6p8sEHH+TRRx+t+uJFROoBzXiLiNRiJ0+exOPxUFxczOHDh3nvvfJvxy0uLmbz5s089dRTFfbRqFEjHnroIRYsWBAyk12RVq1akZCQwO7du+nTpw9er5fx48eTkpJCQUEBR44c4corr2Tw4MHcddddFBUV0bZtW7KysrjvvvsAyM/PJzMzM6TfpKQklixZUuGYffv2ZdWqVaxbt45LL7005NyGDRvweP79m4FXXnmFDh06VHkN4aS3Fdc+elOx1Gaa8RYRqcVKl5rs2rWLNWvWMGnSJJxzgH822uPx0LZtW+Li4ipcxlFqwoQJbNq0iX379p11zNL+AbKyskhLS6NRo0aMHj2al19+GYCmTZsyfPhwVq5cydGjR8nLy2PgwIHB9mZWrs8zy8qaM2dOhbPeKSkp5OXlBT+1KekWETlXSrxFROqIvn37cvToUQoLC4F/r/Hes2cPmzZt4rXXXqu0bePGjZkxYwaPPfZYlWMcO3YMn89Hp06d2L59O7t372bAgAHEx8eTlZVV4XKTlStXMmLECJo0aQJA165d2bJlS0i/ubm5JCYmVjruz372M4qLi9m0adNZvwcRkbpKibeISB2xa9cuSkpKaNu2bUh5u3btWLRoEQsXLqyyfXp6OmvXrg0m7mc6fvw49957LyNHjqRNmzZ4vV7mzZuHz+fD5/Nx6NAhDh48yOeffw5A//792b17N0uWLGH8+PHBfjIzM1m4cGFw5xSfz8eCBQuYMWNGlfHNnj2bxx9//Gxfg4hInaXEW0SkFitd4+3xeEhNTWXZsmVERUWVqzdy5EhOnDjBhg0bKu2radOmTJ8+nSNHjoSU9+/fn27dupGcnExcXBzPPfcc4F9mMmrUqJC6o0aNCj5U2ahRI8aMGUNRURE33XRTsI7H4+Gxxx5j2LBhdO7cmWHDhvH444+HrNWuyC233EJMTExIWeka79JP6TaEIiJ1kZVdy1efJCUluTN/1RkOetCmdtLDNnI+du7cSZcuXSIdhtSgC73H+je/9gnHv/cHZlb+P7gSObGLUiIyrpltdc4lnb2mZrxFRERERMJCibeIiIiISBgo8RYRERERCQMl3iIiIiIiYaDEW0REREQkDJR4i4iIiIiEgRJvEZFazMyYOHFi8PjUqVPExMQwdOjQkHojRoygb9++IWXz5s2jffv2eDweEhMTQ946mZ6eHrIndmFhIU2aNAnu4V0qPj6eMWPGBI9XrlxJeno6AEuXLiUmJiZkn+1PP/30gq9ZRKS+ahzpAERE6or4mW9c1P58i249a50WLVqwY8cOTp48SXR0NO+88w7t27cPqfPNN9+Qm5tLy5Yt2bdvHwkJCcFzGRkZZGZmsnv3bnr16sXYsWODr3Yv6+WXX+aGG27A6/Vy9913h5zbsmUL+fn5dO3atVy71NRUnnnmmepesohIg6YZbxGRWm7IkCG88YY/6fd6vSGvZwd45ZVXGDZsGGlpacG3Sp6pY8eONG/enK+//rrC816vlyeeeIIDBw5w8ODBkHOZmZksWLDgIlyJiEjDpsRbRKSWK02oi4uL2b59O3369Ak5X5qMjx8/PmQ5SVm5ubl07NiRK6+8sty5/fv3889//pPk5GTGjRtHdnZ2yPlx48aRm5vLnj17yrXNzs4OWWpy8uTJC7hSEZH6LeyJt5ldbWbrzGynmeWb2f2B8svN7B0z2x34s02ZNrPMbI+ZFZjZoHDHLCISST169MDn8+H1ernllltCzn355Zfs2bOHG2+8kU6dOtG4cWN27NgRPL948WKuvfZa+vTpw7x58yrsPysri3HjxgH+JP/M5D0qKooHH3yQhQsXlmubmppKXl5e8BMdHX2BVysiUn9FYsb7FDDDOdcFuAGYamaJwEzgXedcR+DdwDGBc2lAV2Aw8Eczi4pA3CIiETN8+HAyMzPLLTPJzs7m66+/JiEhgfj4eHw+X8hyk4yMDAoKCsjOzmbSpEkUFxeX69vr9bJ06VLi4+MZPnw4H3/8Mbt37w6pM3HiRD744AO++OKLmrlAEZEGIOyJt3PusHMuN/DzMWAn0B4YASwLVFsGjAz8PALIcs5975zbB+wBksMbtYhIZP3iF79g7ty5dO/ePaTc6/WyZs0afD4fPp+PrVu3VrjOe/To0SQlJbFs2bKQ8oKCAr777jsOHjwY7GPWrFnl+mjSpAkZGRn84Q9/uPgXJyLSQER0jbeZxQPXAZuBHznnDoM/OQdKFyK2B/aXaXYgUCYi0mDExsZy//33h5T5fD6++OILbrjhhmBZQkICrVq1YvPmzeX6mDt3Lk8++SSnT58Olnm9XkaNGhVSb8yYMRWuFb/zzjs5depUSNmZa7w/+uij87o+EZGGIGLbCZpZS+AV4AHn3LdmVmnVCspcJX1OAaYAxMXFXYwwRartidShZ68kYTUje/VF7a862/9dbMePHy9X1q9fP/r16wdQbgcS8D9ICZR7CLNXr14UFBQA/j24AcaOHVuufY8ePYL7cft8vmD5JZdcwqFDh4LH6enpwT29RUTk7CIy421mTfAn3S855/4SKP7SzNoFzrcDjgTKDwBXl2keCxyiAs65551zSc65pJiYmJoJXkRERETkPERiVxMD/gzsdM49WebUa8AdgZ/vAF4tU55mZpeYWQLQEfhbuOIVEREREbkYIrHU5KfAROATM8sLlD0CLAJWmNmdwBfAbQDOuXwzWwF8in9HlKnOuZLwhy0iIiIicv7Cnng75zZS8bptgJsraTMfmF9jQYmIiIiI1DC9uVJEREREJAyUeIuIiIiIhIESbxGRWqxly5blyubNm0f79u1D9s/+5ptvytX7xz/+wS233MI111xDly5dGDduHF9++SUAGzduJDk5mc6dO9O5c2eef/75kP7NjD179gTLFi9ejJmxZcsWAOLj40lJSQkZz+Px0K1bNwDWr1/P0KH+LTa//PJLhg4dSs+ePUlMTAy+9v706dNMnz6dbt260b17d3r37s2+ffuC/W3btg0z4+23367wO/H5fERHR+PxeEhMTGTSpEn88MMPwfFbt24d8h2tXbu2Ol+5iEiNidg+3iIidc681he5v3+dd9OMjAwyMzMrPV9cXMytt97Kk08+ybBhwwBYt24dhYWFOOeYMGECOTk5XH/99Rw9epRBgwbRvn17br3Vv1d59+7dycrKYs6cOQCsXLmSxMTEkDGOHTvG/v37ufrqq9m5c2elscydO5cBAwYEXwC0fft2wP/ynUOHDrF9+3YaNWrEgQMHaNGiRbCd1+vlxhtvxOv1MmjQoAr77tChA3l5eZSUlDBgwABWrFjB7bffDkBKSgqrV1/cvdxFRC6EZrxFROqh5cuX07dv32DSDdC/f3+6devGkiVLSE9P5/rrrwfgiiuu4PHHH2fRokXBuiNHjuTVV/27un722We0bt2aM9+PMG7cOLKzswF/kjx+/PgKYzl8+DCxsbHB4x49egTL27VrR6NG/v8UxcbG0qZNGwCcc6xcuZKlS5fy17/+leLi4iqvNyoqiuTk5ApfKCQiUlso8RYRqYMWL14cXELRv3//cud37NhBr169Kmybn59f7lxSUhL5+fnB41atWnH11VezY8cOvF4vqamp5foZO3Ysf/mL/x1or7/+ekiSX9bUqVO588476d+/P/Pnzw++/XLcuHG8/vrreDweZsyYwbZt24JtPvzwQxISEujQoQP9+vXjzTffrPL7KC4uZvPmzQwePDhYtmHDhpClJnv37q2yDxGRmqbEW0SkDsrIyCAvL4+8vDzWrVt3Tm2dc/jfZRbqzLK0tDSysrLIyclh1KhR5epffvnltGnThqysLLp06ULz5s0rHG/QoEF89tlnTJ48mV27dnHddddRWFhIbGwsBQUFLFy4kEaNGnHzzTfz7rvvAv4Z9LS0tGAcXq+3wr737t2Lx+Ohbdu2xMXFBWfTwb/UpPQ7ysvLo0OHDtX7gkREaogSbxGReqhr165s3bq10nOlD0mW2rp1a7k13MOGDeOFF14gLi6OVq1aVdhXamoqU6dOrXSZSanLL7+cCRMm8MILL9C7d28++OADAC655BKGDBnC7373Ox555BFycnIoKSnhlVde4be//S3x8fHcd999vPXWWxw7dqxcv6VrvPfs2cOmTZt47bXXqoxDRCSSlHiLiNRDEyZM4KOPPuKNN94Ilq1Zs4ZPPvmEqVOnsnTpUvLy/C8PLioq4uGHH+ahhx4K6SM6OprHHnuM2bNnVzrOqFGjeOihhyp9+BHgvffe48SJE4D/gcy9e/cSFxdHbm5ucNnJ6dOn2b59Oz/+8Y9Zu3YtPXv2ZP/+/fh8Pj7//HPGjBlDTk5OpWO0a9eORYsWsXDhwrN/OSIiEaJdTUREarETJ06EPJj4q1/9CvCv8X7xxReD5Tk5OcTHxwePo6OjWb16NQ888AAPPPAATZo0oUePHjz11FP86Ec/4sUXX2Ty5MkcO3YM5xwPPPBAhWu0S5d7VObSSy/l4YcfrrLO1q1bmTZtGo0bN+b06dPcdddd9O7dmzVr1jB58mS+//57AJKTk5k2bRr33HNPuaUtY8aM4U9/+hMTJ06sdJyRI0cyb948NmzYAPx7jXepOXPmMHbs2CpjPVcjLmtyUfsTkfrNnHORjqFGJCUluTN/lRoOS+55L+xjytlNffZnNT7GE6lDa3wMOTczsi9sK7mdO3fSpUuXixSN1EYXeo8PzNxwEaORiyF2UcrZK10g3ffaKRz3viJmttU5l1SdulpqIiIiIiISBkq8RURERETCQIm3iIiIiEgYKPEWEREREQkDJd4iIiIiImGgxFtEREREJAyUeIuI1HKrVq3CzNi1axcAPp8PM+Ppp58O1pk2bRpLly4FYNOmTfTp0wePx0OXLl2YN28eAEuXLiUmJgaPxxP8fPrpp/h8Prp161Zu3PT0dJo3bx7yxsj7778fM+Po0aMAREVFhfS3aNGiGvoWRETqPr1AR0Skmrov635R+/vkjk+qVc/r9XLjjTeSlZUVTKKvvPJKnnrqKe6++26aNm0aUv+OO+5gxYoV9OzZk5KSEgoKCoLnUlNTeeaZZ0Lq+3y+Sse+5pprePXVV/n5z3/O6dOnWbduHe3btw+ej46ODr4BU0REqqYZbxGRWuz48eN8+OGH/PnPfyYrKytYHhMTw80338yyZcvKtTly5Ajt2rUD/DPSiYmJ5z3++PHjyc7OBmD9+vX89Kc/pXFjzdmIiJwPJd4iIrVYTk4OgwcPplOnTlx++eXk5uYGz82cOZMnnniCkpKSkDYZGRlce+21jBo1iueee47i4uLguezs7JClISdPnqxy/I4dO1JYWMjXX3+N1+st9wr5kydPhvRXmqSLiEh5SrxFRGqxssluWloaXq83eC4hIYHk5GSWL18e0mbu3Lls2bKFgQMHsnz5cgYPHhw8l5qaSl5eXvATHR191hhGjx5NVlYWmzdvJiUl9JXMpUtNSj+pqakXcrkiIvWafl8oIlJLFRUV8d5777Fjxw7MjJKSEsyMe++9N1jnkUceYezYsdx0000hbTt06MAvf/lLJk+eTExMDEVFRecdR1paGtdffz133HEHjRppvkZE5HzpX1ARkVpq5cqVTJo0ic8//xyfz8f+/ftJSEjgwIEDwTqdO3cmMTGR1atXB8veeOMNnHMA7N69m6ioKC677LLzjiMuLo758+eHJPwiInLuNOMtIlJLeb1eZs6cGVI2ZswYFixYEFI2e/ZsrrvuuuDxCy+8QEZGBs2bN6dx48a89NJLREVFAf413hs3bgzW/eMf/8hVV11FQUEBsbGxwfLFixeHjHH33XdXGGPpGu9SgwcP1paCIiKVUOItIlJN1d3+72JZv359ubLp06czffr0kLKePXty+vTp4HHZ3U/KSk9PJz09vcJzP/zwQ7my2267rcK6ZbcfPPPBThERqZyWmoiIiIiIhIESbxERERGRMFDiLSIiIiISBkq8RUSqULo7iNQ/urciEm5KvEVEKtGsWTOKioqUoNVDzjmKiopo1qxZpEMRkQZEu5qIiFQiNjaWAwcOUFhYWGW9Hw4dClNEUl1NrrrqrHWaNWsWsoWiiEhNqzOJt5kNBp4CooD/cs5po1gRqVFNmjQhISHhrPV2jhodhmjkXHTZtTPSIYiIlFMnlpqYWRSwBBgCJALjzSwxslGJiIiIiFRfnUi8gWRgj3PuM+fc/wJZwIgIxyQiIiIiUm11JfFuD+wvc3wgUCYiIiIiUidYXXha38xuAwY55+4KHE8Ekp1z951RbwowJXB4LVAQ1kDrnyuAo5EOQiJC977h0r1vmHTfGy7d+wv3Y+dcTHUq1pWHKw8AV5c5jgXKbSPgnHseeD5cQdV3ZrbFOZcU6Tgk/HTvGy7d+4ZJ973h0r0Pr7qy1OTvQEczSzCzpkAa8FqEYxIRERERqbY6MePtnDtlZtOAt/FvJ/jfzrn8CIclIiIiIlJtdSLxBnDOvQm8Gek4Ghgt22m4dO8bLt37hkn3veHSvQ+jOvFwpYiIiIhIXVdX1niLiIiIiNRpSrwFADM7Hvgz3sx2BH5ua2brzOy4mT0T2QilplRy7weY2VYz+yTw588iG6VcbJXc92Qzywt8PjazUZGNUmpCRfe+zLm4wL/5mZGJTmpSJX/v483sZJm/+89GNsr6rc6s8ZaIKAZ+DXQLfKThOAoMc84dMrNu+B9s1kur6r8dQFLggfZ2wMdm9rpz7lSkA5OwWQy8FekgJOz2Ouc8kQ6iIVDiLZVyzn0HbDSzayIdi4SXc25bmcN8oJmZXeKc+z5SMUnNc86dKHPYDNBDQA2ImY0EPgO+i3QsIvWVlpqIyNmMAbYp6W4YzKyPmeUDnwD3aLa7YTCzFsDDwG8iHYtERIKZbTOz980sJdLB1Gea8RaRSplZV+AxYGCkY5HwcM5tBrqaWRdgmZm95ZwrjnRcUuN+Ayx2zh03s0jHIuF1GIhzzhWZWS8gx8y6Oue+jXRg9ZESbxGpkJnFAquASc65vZGOR8LLObfTzL7D/3zHlkjHIzWuDzDWzB4HLgNOm1mxc04P1tdzgd9mfh/4eauZ7QU6ob/3NUKJt4iUY2aXAW8As5xzH0Y6HgkPM0sA9gcervwxcC3gi2xUEg7OueDyAjObBxxX0t0wmFkM8JVzrsTMfgJ0xL/WX2qAEm+pkpn5gFZA08CDNwOdc59GNioJg2nANcCvzezXgbKBzrkjEYxJat6NwEwz+wE4DdzrnDsa4ZhEpGbdBPzWzE4BJfif7fgqwjHVW3pzpYiIiIhIGGhXExERERGRMFDiLSIiIiISBkq8RURERETCQIm3iIiIiEgYKPEWEaklzGygmfWMdBwiIlIzlHiLiNQQM5ttZvlmtt3M8sysz1mabARmmNk14YivlJmtN7Okc6i/1MzGlmkbfx5jeszslnNsE29mOwI/9zOz1ec6rohIJGkfbxGRGmBmfYGhwPXOue/N7AqgaVVtnHMngEnhiK8W8ABJwJuRDkREJFw04y0iUjPaAUcDr2PGOXfUOXcIwMx6m9lHZvaxmf3NzC41sygz+52Z/d3MPjGzuwN1+wVmlVea2S4ze8nMLHCul5m9b2ZbzextM2sXKJ9uZp8GZtqzzgzMzKLNLCtwPhuILnNuoJn9j5nlmtnLZtbyLNf5Ff6XbmBmfzKzLYFZ/t+U6fPM620N/BZIDfwmINXMWpjZfweuf5uZjTj/r15EpHbSjLeISM34KzDXzP4BrAWynXPvm1lTIBtIdc793cxaASeBO4FvnXO9zawZ8JGZvRPo6zqgK3AI+BD4qZltBp4GRjjnCs0sFZgP/AKYCSQEZtovqyC2XwInnHM9zKwHkAsQmJWfA/yHc+47M3sY+BX+JLlCzrnRZQ5nO+e+MrMo4N1A37squN4TwFwgyTk3LTD2AuA959wvAjH/zczWOue+q+b3LSJS6ynxFhGpAc6542bWC0gB+gPZZjYT2Aocds79PVDvW/DPNAMJZnZzoIumwE+AU8DfnHMHAvXygHjgG6Ab8E5gAjwKOBxoux14ycxygJwKwrsJ+M/A+NvNbHug/AYgEfgw0GdT4H/O4bLHmdkU/P9taRfoy1VyvWe2HQgMN7PMwHEzIA7YeQ7ji4jUakq8RURqiHOuBFgPrDezT4A78M8uuwqqG/4Z4zUhhWb9gO/LFJXg/7fbgHznXN8K+roVf3I9HPi1mXV1zp06M7xKYnjHOTf+LJdWvqFZApAJ9HbOfW1mS/Enz1bJWBWNPcY5V3CuY4uI1BVa4y0iUgPM7Foz61imyAN8jn/pxVVm1jtQ71Izawy8DdxjZk3KtG9RxRAFQEzgIU7MrImZdTWzRsDVzrl1wEPAZcCZ67Q/AG4PtOsG9AiUb8K/jOWawLnmZtapmpfcCvgO+JeZ/QgYEiiv7HqPAZeWaf82cF+Z9evXVXNcEZE6QzPeIiI1oyXwdGC98ilgDzDFOfe/gfXYT5tZNP713f8B/Bf+JSS5geSzEBhZWeeBfsYC/xl4WLEx8AfgH8CLgTIDFjvnvjmj+Z+A/xdYYpIH/C3QZ6GZpQNeM7skUHdOoM8qOec+NrNtQD7wGf616FRxveuAmYGlMwuB/xuIf3vg+n34d4UREak3zLnq/AZQREREREQuhJaaiIiIiIiEgRJvEREREZEwUOItIiIiIhIGSrxFRERERMJAibeIiIiISBgo8RYRERERCQMl3iIiIiIiYaDEW0REREQkDP4/dVaZQaVpdEkAAAAASUVORK5CYII=\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.rcParams['figure.figsize'] = [12, 5]\n", + "for k in range(1,6):\n", + " plot_acte(k)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On peut alors tout de suite analyser le texte avec beaucoup plus de précision. Par exemple :\n", + "1. Harpagon semble énoncer un monologue à la scène 4 de l'acte I.\n", + "2. Il est quasiment absent de l'acte II.\n", + "3. Le record de la scène la plus longue semble être tenu par _II5_, et Frosine y monopolise la parole." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Graphe des interlocuteurs" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "__Consignes :__ ( _facultatif_ ) construisez un graphe d’interlocution permettant de visualiser les échanges entre les personnages." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On introduit un nouveau package :" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [], + "source": [ + "import networkx as nx" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On va parcourir les répliques, et estimer que deux personnages s'adressent une fois la paroles si l'un parle immédiatement après l'autre ( _cette convention est évidemment source de nombreuses critiques_ )" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "G=nx.MultiDiGraph()\n", + "G.add_nodes_from(list_perso)\n", + "for i in range(0,len(list_perso)-1):\n", + " for j in range(i+1,len(list_perso)):\n", + " perso1=list_perso[i]\n", + " perso2=list_perso[j]\n", + " for k in range(0,len(repliques[:-1])):\n", + " if repliques[k][1]==perso1 and repliques[k+1][1]==perso2:\n", + " G.add_edges_from([(perso1,perso2)])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On observe qu'__Harapagon__ se retrouve à nouveau au centre de l'attention, proche entre autres de __Cléante__ :" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+nIiICEpLSykpKeHo0aMAKIpCdHQ0zZs3Z8mSJdhsNjZv3oyPjw8AZrOZwYMHM3fuXAwGA7m5uWzfvp2kpCQmTJhAamoqkZGRWimF+Ph4QkND/5DfWAghhBBC3Hhkpk78aRo0aEBERATr16+nb9++umMLFizAYrEQFhZGcHAw/fv3x2azaZuruLv8/J+qwexOQI9HsBzaTFn2iUrvdenAJhxlVjJnDeX0Ownkrp4KjnLWfjAFRVEYPXo0xcXFAJw9e5a+ffvy6quvUqtWLTZt2oSqqtqsoaqq7Nq1iwULFmCz2fD29mb58uXccccdGAwGysrKmDt3LkajEUVRCA8P54cffuC1114jKSmJ/Px83nnnHerXr8/SpUtp27YtDRo0YODAgbz33nvs27dPlmwKIYQQQojrJqFO/KnmzZvHpk2b8PT01NrOnDnDt99+y7p160hNTSU1NZX9+/czbtw4bQlmiK87yi/6Mbr74N2mOwVJS/m18qI8rD/tp3b/CdQd+k7FZ9g7+Mf1p+RkaqXj+uyzz5g9e7auXEGTJk247777UFWVkpIS4uLiUBSFoqIi+vfvz7fffouqqvTq1YvTp0/TvHlzFEWhuLiYp59+GoPBgKIohIaGcuHCBZ5++mlWr17NuXPn2LhxI926dWPfvn0MHDiQgIAAunXrxksvvcTGjRspKir6fX5wIYQQQgjxP0/q1Ik/XHh4OHPnzqVr16669vLyclxcXJgyZQrLly9n7969uuNZWVk0aNCAffv2sXnbDsZOnkmdhGk/X1+Yx5kPHiLkwTcxmD20OnWFyasoPrqNkKFv6fozFOdz8m39ss8rMZvN2Gw2PDz0O2b++OOPrFmzhieffFKb7busVq1arF+/HoDevXtz9uzZSn+Pr776iqZNm2pt58+fZ/v27dqyzZSUFJo0aaJbshkWFlbtsQshhBBCiBuHhDpRY4xctIeNR3K4nv9iFQV6tKhD3uqprFy58rrH4OHhwc0338zixYsJCgoCoKCggPj4eI4cOcIv/+dkNBp58MEHmTdvHh999BFPPvmk0wycoii0b9+er776ioCAAK29rKyMlJQUkpKStI/ZbCYuLk4LeW3atNFKMgghhBBCiBuXhDpRY+w/XcCAD3dSYrv298/cXYwsGxlL61A/hg8fzkcffaQdUxSF3/I/Azc3N9q1a8eHH35IixYtmDRpEpMnT6asrEx3XmhoKFu3biU8PJxx48bx1ltvUVpaqjvHZDLRu3dvEhMTMZvNWruqqpw4cUILeNu3bycjI4Po6Ggt5MXGxuLr63vdzyGEEEIIIWomCXWiRlm88xST1x+hxOao9jXuLgbG92xOQmy41jZ69Gjeeecd2rRpQ2pqxXt2SUlJdO7cWVe77nq5uLjQvHlznn/+eZ566ikyMjJ0x81mM+PGjWPSpEmUlpZy//33s27dOqcNU9zc3BgzZgyvvPKKVlvvsgsXLrBjxw4t6O3Zs4dGjRoRHx+vzeiFh4drtfeEEEIIIcT/Jgl1osapCHZHsZbbr7gUU1HAzWRkfM9IXaCrjuzsbBo1auT0ztzVGAwGVFWtdObPaDTi6elJYWHhr8ap0LRpU3bu3Imfnx+FhYXccccdpKSk4HDow6uvry9vv/02DzzwgFNYKysrIzU1VbdkU1EU3Xt5UVFRuLi4XNMzCSGEEEKIvzcJdaJGSsssYNaWdDYfy0UBrOU/hx83kwEV6NIsiEc7N6Z1aOUFyqvLYrHQsGFDcnNzr/laV1dXXFxcsFqt1Z4BdHd3Z/r06Tz66KMAHD58mDvvvNNptg8gJCSE5cuXEx8f73RMVVVOnjypbb6SlJTEyZMn6dChg27Jpr+//zU/lxBCCCGE+PuQUCdqtPOWUlakZHL0bBGFVhs+bi5EhnjTr10otbxc/5B7NmvWjOPHjzu1V/Vu3i/bXV1dqV+/PmVlZZw7dw6r1XrFeymKQmxsLJs2bcLNzQ2AVatWMWLECPLz853ObdGiBRs3biQkJKTS/goKCti5c6cW8nbv3k2DBg10s3kNGzaUJZtCCCGEEDWIhDohfoPOnTvz3XffObX7+fnpat5dZjQaMZvNWK1WVFXFZDIRHBxMfHw8OTk57N69m0uXLlV5P5PJRGJiIvfdd5/WNnXqVF5++WWnpaJGo5EuXbqwevVqXV3AX7LZbOzfv1/bfCUpKYny8nJdyGvbtq1u0xYhhBBCCPH3IqFOiN/Jr3fVvCw6Opr09HQuXLjgdMzHxwdXV1cuXLhAeXk5iqLg7+9Phw4dGDp0KBs2bGD16tVcvHix0nuaTCbuv/9+5s2bh6trxczkgw8+yNKlS7HZbLpzzWYzw4YN46233qoypKmqSkZGhu69vPT0dNq3b69twBIXF6crvyCEEEIIIf5aEuqE+ANMnz6dsWPHOi3HbNWqFf379+eVV15xKnlgMBho3LgxLi4unDhxQlua6eHhQbNmzRgwYAAjR46kX79+fPvtt1Xe29PTk86dO/Pxxx/j4+NDjx492Lp1q9OmK56enkycOJExY8Y47az5S4WFhbolm7t27SI0NFQ3m9e4ceNqLdnMs5SyYm8mR7MLKbSW4+NmIjLYh/7t/7jlskIIIYQQ/+sk1AnxB1u7di19+vRxClV169bl4MGDDBw4kK+++sopALq5uXHPPfeQlZXF/v37tV0zXVxcqF+/Pj169GDEiBEkJCRw+PDhK47Bzc2Njh078sorr/DQQw/xww8/ON2vVq1azJw9D0tQS45mF1UZusrLyzlw4IBuNq+0tFRXGL1du3bazCFU1Bh8b0s63x2v2GymtJKNbTo3C+LR2xrTpv5v29hGCCGEEOJGI6FOiD9RamoqMTExTrN03t7eZGVlcf78ebp06cLJkyedrg0MDGTy5Ml8/fXXbNu2jdzcXBwOBwaDgcDAQDp16kRAQACJiYlO/VfGbDYTFhZGXl4exW5B+HTqj0ejDqiqisGlIpDZCrKx/7QP3/a9rhi6Tp8+rQt5x48fJyoqivj4eByNbubz0yZK7Y4/rASFEEIIIcSNTEKdEH8Ri8VCaGio0/tyLi4u7Nq1i6ioKNasWcPgwYMrrW3XqlUrlixZwocffsgXX3xBRkaGFua8vb1p0qQJJ0+erPRdPoPBoM0cekXdif8dw1GMZpRKlmHmfz0bc52GeLXqiqvZyAu9Wlw1dBUVFZGcnMy8746xs7QeqrH6tfEqKxYvhBBCCCGqJqFOiL+JsLAwTp8+rWszGAx88skn9O/fH4fDwdixY3n77bedNkExGo0MHDiQuXPnMmvWLBITEzly5Ii2k6arqyuurq4UFRXpll16tb2TgDseQjHp32fLnDUMR3EBKD+HvNr3v0zO4qdRXNxQ7TY83FwZN24cEyZM0F07f/583njjDdLTT2AzuuHeNBb/2x7E4OYFgMNqIf/buZT8uAfVVorR0x+vNt3xje0HwE9T/0nDx+bx2TN9WTV3JhMnTuTTTz+lf//+QMXyTxcXF06ePEl4eDhDhgxhyZIlus1fGjVqxP79+6/r34MQQgghRE1T9e4IQog/VUZGBqqqoqoqUVFRADgcDu677z4URcFoNOLv709ZWRmqqnLo0CHtWrvdzqJFi3B1dWXMmDEcOnSIGTNmoKoqH330EaWlpRQWFuoCnWtIU8y1G5LzyQuVjsfkXxfVYde+53wyHoD6Y5ZRf8wySl39efHFF1EURdu18+abb2bs2LG8/vrrGD198e8yjPKL58j55AVUuw1L2jecmTMK1Wal7ojZKK5elBfmUrA1kYw3+pHxRkWwKy0vZ8ZXFe8JBgQEMGHCBOx2u/Mg/9/YsWOxWCzaRwKdEEIIIW4kEuqE+Bvat28fDRo0YOPGjdxzzz1a+/PPP6+FqAEDBhAQEIC/vz9Wq5UjR45Qr149AEpKShg1ahSKojBs2DAAdu/ejaqqHDt2jGHDhhF8+2AwmK44joDuDxP23xWE/XcF9R56/xdHFBRVH7IKCgpISkoiNzeXfglDKS13YPDyJ6j3M5QXnuPSwc0AqGVWPFvchtHNC0VRqN3/RRo8/Zl2HwAVhc1Hc3h71mz8/PywWCxMmzbNabMZIYQQQgghoU6Iv73Vq1drM3jjxo3T2g8cOEB+fj4XLlwgKiqKyMhIMjMzUVUVh8PBggULdEXHo6OjURSFyMhIUo+cwBzRrlplCCpz6fAWHFaL9t1k0odDY+M4bVbQYHbHvWF7Sk6lAqCY3Sn4fhGWtI2o9vIq7+Hu5kbrW3sSGBhIo0aNmDBhAoGBgdx9990AJCcnU1JScl3jF0IIIYT4XyKhTogaZOrUqaiqyvfff68LUkePHtVm8C7XjBs8eDAWi0XbSXPo0KGYTCZUVSXdUQvrVQKRLS+DCxs/IOPN+zm38hWt/fRbA8nf8B4OqwWX4CZAxXtuUPFuX1FREa1u+Qfwc2A0egXgKKnY7MXkH4xni84U7V2H41I+59fNoOTEHqf7W8sdWDHTpEkTtmzZQrt27Rg7diwPPvggAFOmTCEwMJAvvviCqVOn4unpia+vL35+fto5QgghhBA3Agl1QtRACxYsoFevXqiqyvbt2zEajRiNRgBOnDihBbzAwEBts5RVq1ZpwadlRD2tbEFVXALDuBzMrBkHOPPR4wDUf2IJrmGtcA1rrQW1y+x2O8HBwTS9qeKdwNyVr5Dx5v0U7lqNNeMA+V+/j6IY8I27j5Chb2HwDsRefJFzy1/ipxn3kfHm/br+Sst/XuL5yiuv8O6779KrVy+gYgYzNzeX9u3bc8stt9C5c2eMRiOBgYEAfPDBBxw8eFCWbAohhBDif56EOiFqmJKSEpYvX86gQYMA6NSpEw0aNGD69OmoqsrZs2fx8PAA4Pz589x0000AlJaWcvToUQoKCoj8xwPVupd/t5GEjVlG2Jhl1Bv2rtZu9PDB5BOIYjI7XXPp0iW2b/kWgKB7nyf0sQUY3DwJ6PEoAd0f0Z2rKAYC+zwHQPDAVwkbs0x33GEr1UJZt27daNy4MbNmzdKOe3h4EBwcTHx8PF988QV5eXmsWbOG+Ph4tm/fTu/evalVqxY9e/Zk8uTJbNmyheLi4mo9uxBCCCFETSGhToga5rPPPqOwsJBHH32U4OBggoODOXPmDAsXLgQgODiYS5cuoaoqRUVF+Pv7A2C1WgkJCUFRFNat/PQ3jcEtPIqSkym4hbWp9PjpHZ+jqg7slgvkrp6CyTsQr5a3A1BemEvp2eOodhuqqlJyfAcGV09cAurp+nDYSjmaupulS5dqM4/fffcdU6dOrXJcBoOBli1bMnLkSBYsWEB6ejpHjx5lxIgRXLhwgWeffZagoCA6duzImDFjWLFiBVlZWb/ptxBCCCGE+KtJqBPib8xms2G1WrVPeXk5CxYsYNiwYRw4cIDU1FRSU1NJSkoiNTWVAwcO6K738vIiJSVF66tRo0YAlJ77EYettOIkVUUtL9N9rsar5e0YvWpRfCLZ6djo0aMJsefiKMojf+NsTD5B1P7XZBTTzwXIz38xk9NvDcRRlEdZdjpB/V/CYHbXd6QolJ370an/y8XUhw8fziuvvEJWVhbTpk3Dy8tL+1xegglQp04d+vTpw/Tp09mxYwd5eXm88cYb1KlThwULFtCqVSsiIiJISEjg/fffJy0t7YrlE4QQQggh/m6k+LgQf1Ph4eH89NNPurYhQ4awaNEi9u3bR6tWrXTHevbsSYsWLZg+fbqu/dSpU0RERGCz2bTNVfIspXR4eQOWg1s4v36m073Dxq4hZ+l4SrOOoRiMWrtLQD1Chr4FQPmlC5yZNRzslYdAg4cvQXc/jVt4lNZmSfsGS9rXBCdMAyovcu4WHkWde5/HciyJvM+mXPE3UhQFb29v7HY79evXJyYmhtjYWGJiYmjVqpXTrpyVcTgcHDt2jKSkJLZv305SUhI5OTnExsYSHx9PfHw8MTExup1EhRBCCCH+TiTUCXGDGrloDxuP5HA9fwEUBVr5O/h87N1VnmMObkKdQVMwuLhd+w3Kyzi7eCxl2enXdJnRaCQsLAxXV1dOnz5N27ZtiYmJ0T7169evVhmH3NxcLeAlJSWxf/9+IiMjiYuL04JeaGjotT+XEEIIIcQfQEKdEDcc2rl+AAAgAElEQVSo/acLGPDhTkps177U0N3FyLKRsayaO5OJEydWeZ5X1J343z4cg7n6wc5RZuXCpnlYUr90OnbTTTfx/fff8+abb/Lyyy9ftS83NzdiY2Px9vYmOTkZg8GgC3nR0dF4e3tftR+r1crevXu1kLd9+3Y8PDy0gBcfH0+rVq20HUiFEEIIIf5MEuqEuIEt3nmKyeuPUGKr/rb/jjIraspKjnw+By8vL+69915WrVoFgKqqLFy4UFcnzivqTvzvGI5iNKMYqn6NV1HARYELm+aRt/OzK47BaDTSrVs3Bg0aREFBAf/+97+rNXY/Pz8GDx6MwWAgOTmZ/fv3ExERoS3ZjImJoWXLllcNZ6qq8sMPP2ghLykpiaysLGJiYoiPjycuLk4Lk0IIIYQQfzQJdULc4CqC3VGs5fYrLsVUALvNyoVv9bNoPj4+7N69Gy8vL+rWrau7plmzZhw/fhxzcGN8OvXHvVE0qKquRp7DVgqKQsmJ3RTuWE5ZdjphYWEcO3aMO+64g+3bt1/1GTw9PYmIiCA0NJQNGzZU+9kbNGjAxIkTsVgsJCcnk5ycTFZWFu3bt9fN6NWrV++qfZ0/f163ZHPfvn00adJEN5sXFhZW7bEJIYQQQlSXhDohBGmZBczaks7mY7kogLX855k7N5MBFejSLIhHOzemdagfFouFunXrUlRUpOvHxcWFXbt2ERUVxa8pioLB3QfPVl0xB4VjcPPEaC/FkX+avN1fOBUy/6XXXnsNf39/nnjiCUpKSpyOe3p6YjQaKSys6MNkMuHp6cnFixer/RsYDAaioqJYunQpJ0+e1EJecnIybm5uupDXoUOHq26cUlpaSkpKii7omc1mXchr3bp1tTZzEUIIIYS4Egl1QgjNeUspK1IyOXq2iEKrDR83FyJDvOnXLpRaXq6VXmOxWIiMjOTMmTO6doPBwGeffcbdd+s3U1m7di333HOPUz+vvvoq58+f5+2338Zms11xnBcuXCA+Pp7Dhw/r2hVFoWfPnri4uLB9+3Zyc3O52p84RVHw8/PTSiVc5uLiQvfu3VmxYgVnzpzRhby0tDSaNGmiW7YZGRl5xWWbqqpy4sQJ3ZLN06dPEx0drYW82NhYfH19rzheIYQQQohfk1AnhPhdtW3bltTUVF2boihMmzaNp556Stfepk0b0tLSnPpQVZWffvqJoUOHsmXLlisGs6CgIPr06cOcOXOcjoWGhpKYmMinn37KF198wenTp69ag27s2LG8++67FBcX69rd3NwYNWoUM2fOpLS0lNTUVF3Qy83NpUOHDroZveDg4CveKz8/nx07dmibr+zZs4dGjRrpZvMaNGhQrR07hRBCCHHjklAnhPjD9O7dmzVr1ji1Dxs2jHnz5unaKgsutWvXJicnB4fDwY4dOxg4cCAZGRnXNRaz2cy4ceN49tlnee211/j444/JzMzE4ah6kxir1cqgQYNYu3at0+yhr68vU6ZM4ZFHHgEgLy+PXbt2aSFv165deHt760Jeu3bt8PDwqPJ+ZWVlWjH5yx+DwaBtvhIfH09UVBQuLi5V9iGEEEKIG4+EOiHEn+I///kPb775plP7bbfdxpYtW7TvVS3PfPHFF3nppZcAKC4uZuHChTz99NNYLJar3ltRFN1sn6IoREZGsn37dgoLCxk/fjyrV6++Yl+qqlJYWEjXrl3Zu3evUxisW7cuixcvpkuXLtr5P/zwg24279ChQ0RGRuqWbTZt2hRDFbuCqqrKyZMndSHv1KlTdOjQQZvJ69SpE35+flf9DYQQQgjxv0tCnRDiTzdnzhwefvhhp2WVTZs25dixY9r3Dh06sHfvXqfrf31ddnY2EyZM4OOPP6a8vPyK9w4MDCQvL0/X5u7uzltvvUVMTAyJiYksXLiQ7OzsKvuYMmUKzzzzDIcPH+auu+7ixx9/1B03GAw0a9aMr7/+WlekvKSkhH379umCXkFBAdHR0boZvaCgoCrvXVBQwM6dO7WQt3v3bsLDw7WQFxcXR8OGDWXJphBCCHEDkVAnhPhLffPNN9x5551OYSwwMJCTJ0/i5eUFVNSm+/XsWGBgILm5ubo2VVU5fPgwDz30EDt37rzivevXr8+ZM2d0/SqKQseOHZk4cSIrV65k5cqVKIrC+fPnK+3Dw8ODF198kX//+99s2LCBhx9+mHPnzunOMRqN3HLLLWzYsAFXV/2GMzk5Obplm7t37yYgIEAX8tq2bYubW+UF3G02G/v379fN5jkcDm25Znx8PG3btsVsNl/xtxBCCCFEzSWhTgjxt5Genk7r1q2dyhZ4eHhw4sQJgoOD2bNnD9HR0U7X/nJ55i+VlpayefNmhg4desXZNwAvLy+nJZje3t6MHj2aY8eO8fXXX1OvXj2OHDlSZR8NGzakR48ePPPMMyxevJgpU6Y49enq6srAgQP56KOPnK53OBwcO3ZMN5t39OhRWrZsqVu22bhx40pn4y5vMnN585WkpCTS09Np3769bslmQEDAFX8LIYQQQtQcEuqEEH9LFouF8PBwpxkyk8nEli1btIBSWXHyM2fOOBVCvyw/P58+ffrw/fffX3UMv34Xz2AwcNNNNxEUFERKSgrNmze/YnF0g8FAYGAgnTp14sknn2ThwoUsWbKE0tJS3XleXl688MILjB07ttJ+iouL2bt3ry7oXbp0iY4dO2ohr2PHjtSqVavS6wsLC3VLNnft2kX9+vV1s3lVhUQhhBBC/P1JqBNC1AiNGjVyendNURTmz5/P4MGDcXFxcVrC6e3trRUkr8wjjzzC7Nmzq3V/g8HgtPzT09OT4OBgSkpKGDBgADNmzLhqP97e3rRq1Yr777+fVatWsW3bNqcyC0FBQXzwwQf06dOnyn7Onj2rC3l79uyhTp06umWbUVFRlS67LC8vJy0tTbdks6ysTBfy2rVr57RUVAghhBB/TxLqhBA1zi233MK2bduc2seNG0e/fv0qXZ45atSoKgPcoEGDWLJkCVARuurWravbsKU6FEXB3d2dsLAwBg0axAsvvFDleR4eHly6dAmoWIoZERFBXFwc27ZtIz093Sk8NmzYkM8//5wWLVpUeX+73c6RI0d0QS89PZ1WrVrplm1GRERUOiN3+vRpXcg7fvw4bdu21W3AUtVMoBBCCCH+WhLqhBA1WkJCAomJiU7t9957LyUlJaxfv97pWFXLM++55x7Wrl0LVNTIu7xkccyYMU47Zl6NoihERUUxfPhwHn/88UrP8fPzIy4ujuTkZPLz81FVFaPRSHBwME2aNOHQoUNOG8EYDAbat2/PN998g4+PzxXHYLFYtGWbO3fuJDk5mbKyMt1sXseOHSstiVBUVERycrIW8pKTkwkJCdEVRm/atKks2RRCCCH+BiTUCSH+Z0yePJnnn3/eqb1jx47s27fPqYC4u7s7xcXFTufffvvtbN68GYDQ0FAOHjyIr68vmZmZzJ49m6lTpzotmbyaiIgIXnnlFQYPHlzptV5eXuzdu5fXXnuNb775hqysLMrLy1EUBV9fX4KCgjhz5ozTeF1cXLj77rtJTEys1nLJzMxM3WxeSkoK9erV00JebGwsrVq1cipwbrfbOXDggG4DlkuXLumWbLZv377KXTqFEEII8ceRUCeE+J+0fPlyBgwYUGmR8KysLKfzExISWLRokfbdZrNx8803s2vXLqDinb60tDQ8PDyAil0q09LSmDBhAp9//vk1jc3b25s5c+YwcuRIioqKnI4bDAbsdjsXL15k5syZrFy5kh9++AGr1QpUhFF3d3cKCwud3iP08PDgiSee4NVXX63WWMrLyzl06JAu6J06dYqoqCjdjF5YWJjTrFxmZqYW8JKSkjhy5Aht2rTRzeZdqeaeEEIIIX4fEuqEEP/zUlNT6dixo9NMnclkqrRY+S+XZ9psNtq1a8fBgwcBaNGiBampqU4zWSUlJSQlJfHYY49x/Pjxao/NZDLx1FNPsWTJEjIyMio95/KfabvdzrJly5gzZw6pqakUFhZqx1xdXSkrK3MqzO7v78+MGTMYMmRItcdUWFjInj17tCWbycnJALqQFx0d7bT802KxsGvXLm02b8eOHdSuXVsX8po1a4bBYKj2WIQQQghxdRLqhBA3lOzsbJo2bVrpDNmvubq6arNjNpuNFi1akJ6eDkD79u3ZsWOHU7i77Ny5c6xcuZLnnnuOgoKCao+vTZs22O12LUT+2q//ZO/atYs33niDrVu3cu7cOW1p5+XdOg0evni1ugOXoHAMrp64GeGBu2/nP/d0opZX9Xa3VFWVjIwM3WxeamoqDRo00C3bbNmyJSaTSbvObrdz+PBh3QYsFy9e1JZsxsXFER0djbu7e7V/HyGEEEI4k1AnhLhhWSwWmjVrVulyzF/r27cvK1eupLi4mObNm2uzarfeeivffffdFa9VVZVjx47x/vvv8+677zotCa2Kl5cXbdu2ZevWrZUenzZtGqNHj9a9S5ednc306dNZsy2VwtBOuEW0Q1VVDC4/n+OwlYKiYP1xL0HnUvhq6RxCQ0OrNabLbDYbBw4c0AW9zMxM2rVrp5vR+3W/Z8+e1YW8Q4cO0apVK91sXp06da5pLEIIIcSNTkKdEEL8vzZt2pCWlnbV886cOYPZbOamm24iJycHgJ49e/LFF19U6z42m43k5GTGT5pCaqGbNovmKL2ELfcUlrRvcJTo6+sZDAZatmzJgQMHKu3z6NGjNGvWDIDFO08xef1RrOV2rvQXXnU4UO1lXPh2HpbULzGZTNx+++2sXbv2umrUFRQUsHv3bt2yTbPZrAt5HTp0wMvLC4A8SylLd/7I9sM/ceZcPhfzssk5loJnzgFujo7SQl7z5s1lyaYQQghxBRLqhBCiEv/85z+vGtJcXFxIT0+nbdu25OfnA/Cvf/1Lq3kHYLVaeeedd3QzavtPF/DelnS+O15RrqC0/OeZu8uzaCUn9lC4Yzll2T9Uem8fH59KC6t7Rd1JcM9HsTmqX2rAUWblwqaKYPdLbm5uDB06lFmzZlW7r19SVZWTJ0/qZvPS0tIIb3cbHtF9yHcLwWhQKPv/zUBtBdnYf9qHd9s7iXArwfOnbRzYso78/Hw6deqkLdvs2LGjtmGNEEIIISTUCSHEVY0ePZp33nnniufcfPPNpKWlaUFrxIgRzJkzhxEjRnDHHXcwYMAAoPqzaKDisJVqs2hXoigKqqqiuLgROnoxBhd9WYHsxGfwvKkL3m16AHBx+6cU7f8KR/FFDG6euNZrQZ17/ovj6xn8tO/7Ku/j4+PD5MmTq6y7Vx3zt53g1Q1HKbOrgHPwzP96NuY6DfGO6o6bycj4npF0DXfT7bJ54MABWrZsqVuyGRISct1jEkIIIWo6CXVCCHEN3nnnHZ544gmnDUt+yc3NDavViqIo/Oc//2H69OnA5UB3hBJb9d6pA3B3MZDQ0pPj6+excOHCK55rCgil7kOzUH61VPGXoc5y4Fsu7lxO7X4v4uIfgt1ygeL0ZHza/oMeLepwdO5T9OvXj6KiIpYtW8aBAweqfAcwODiY+fPn06NHj2o9y/U8vwkHCS3dGds3TpudKykpYc+ePVrI2759O76+vlrAi4uLo2XLlhiNxmrfRwghhKjJJNQJIcRVLFmyhBkzZnD06FG8vb2Jiopi/PjxzJkzh8WLF18x4F3mYjbj2boHvl1HaW3Wn9LIWfocfp2H4BvbT2svL8jhzOzhuDfqQO3+L+HuYmTZyFimPfM4n3/+OT169GDlypXOYUtRUEyuhP13BZmzhuEoLgDFgFpeBgYj3m26V5xnMBLQdaTTGF1NBgK3TGHog4N56KGHtHa73c6qVat4+OGHK62Nd1nTpk1Zv349ixYtYuLEiSQnJ9OxY0egYsnpPx5/mQspGwhOmOZ0bXbiM5RmHUMx/BzE3MJaUbv/i1hPppCzbAIGgwGj0UitWrV4/PHHefbZZ7VdPo1GI2azGYfDgd1uR1VVmjZtSkJCAvHx8cTExODp6XnVf09CCCFETWS6+ilCCHHjmjFjBlOnTmX27Nn06NEDs9nMhg0bWLNmDQ0bNmTgwIEsXryY9PR0WrduTUlJSaX9+PZ6Co8msbo2y8FNGNy8uXRwky7UXVZ65hjWzMMo9Vswa0tFKQVFURg5ciSffvopU6dOpUmTJjz00EPY60RSWlRAyODp2vVB/SbgHh6ln6k7uJkL33yA0bsWbmGtMddpqAUpBci1lGrXX7p0iaCgIPz8/MjKyqK8vJznnnuOH3/8kf379/P666+zYcMG7X3C48eP07hxY+36e+65h2PHjuHj48N7W9Kx2a88QxfQ/WFtiaiO0YSHfxDfrl/Lzp07Wb16Nc8//zxTp04lNjaWmJgYAL7//nvtn8+dO8f27dvZvn07L7zwAqmpqTRv3ly3ZLNevXpXHI8QQghRU8h2YkIIUYWLFy8yYcIE3nvvPfr27YunpycuLi7cddddvP7667pzGzduTHFxMaqqUlRUpNut0eDhi0ejDrplkQ6bleJjSQR0fxhbfhalZ503RPGJvZeC7xehqrD5WC6l5RU7ivTq1QtFUXj22Wfp378/ALFd/uG07LIyXjd1wb/bKKw/ppCz5Bky307g4o7lAFjLHfyUeZbHH38cRVHw8vKipKSEs2fPAtC7d2/y8/PZunUrUVFRJCYmkp6ejqurK5s2bWLs2LH4+vpq98rOzsbX1xejpx9fpZ2G610XokJZuYMmN7XlySefZMuWLQQFBTFz5kyefPJJ7bfu1q0bERERDBgwgMTERGrXrs2kSZNISkri/PnzvPXWW9SrV4/ExESioqJo0KABAwcO5L333iM1NVWr8SeEEELUNDJTJ4QQVdixYwdWq5U+ffpc03VeXl7Ur1+fuXPn0rVrV8LvfAiHquq2BSk+th2DixsekTfjfmgLlw5uwjWkia4f73a9KNqzlpJTqbg1bsepvEtcvHhRd46qqhQUFLBzT0r1x9eyC14tu6Dayyn+YSd5a6djrtMQ94btUTFQVlrqdI2i/Dz6zp074+7ujoeHBwaDAZPJxIoVK+jevTvZ2dmUlJSwcOFCAgMDK95ra35HtZaoXs2KlExG3BzBunXryMvLo127drRt25ZevXrx8ssvs2fPHhwOh7bT5uLFizl69CjNmzfXCqT37t2bp59+GqiYWbz8Xt67775LVlYWMTEx2kxeTEwM3t7ev3ncQgghxB9NQp0QQlTh/PnzBAYGYjJd35/K3r17YzKZKLHZsW3+BP8uQ/GO+gcAlw58i0fzW1AMRjxbdiZ/4wf43z4cxfjzvRSTGd+4+yn4fhHu4VGcPFJ5eQP4/1IIv5K78hUwGFHLSig7exxUVbs/gGI04Rl5M4U7V2DL/aki1DmuPlulqirFxcUUFxdrbbNmzdKVPli+fLn2z7WCwnXFz6tyYeMcLmz6SPvu0/6f+N36AADlRfmMvjOK0eVllJeXM2PGDNq2bau7vkOHDroZ0mXLlnHrrbeSkpJCcnIy69at44UXXqCwsJCOHTtqtfNee+01AgMDycvLY8eOHSQlJTFx4kT27dtH06ZNtc1X4uPjCQsLu+pzCCGEEH82CXVCCFGFWrVqkZeXR3l5+XUFu9WrV9O1a1eGLdjNpqPntPbywlysGQfw6/wgAO5NYlA3vEvJid14NO2k68OrTQ8uJq+i+IdkTGZXyiq5j4uLC74mB+cdjopNUQBQCeo9DvdG0fp36tK+weDhi1v9lihmN6w/pmDLy8BctxkOWymqzVqtZ+vUqROBgYF88cUX9OnTBw8PD60mXevWrTl//jz5+fkUFhZWu3C4f7eRlb9TBxi9A0h450tmDWjNM888w6ZNm3jyySd156SkpOje6bvs8szbZdnZ2ezatYvk5GRmzJjB7t27CQoK0kJenz59mDhxotZnUlISn376KU888QSurq669/Jat2593aFfCCGE+L3I/yUSQogqdOrUCTc3N1avXk2/fs4bmVSXj5v+T+2lg5tBdXBuxSStTS0vw3Jwk1OoU4wm/OL/RcHWxSimyme7bDYbTw3pw3/+/SgZ0/tq7eeWTyRs7BrduQZXDwp3fMr5zzNQVQcm39oEdH8Ut/otUcvLsF+6UK1n2rFjh/bPK1asAKB794rdNTMzM4GK0g6FhYW08Fc4Va1er2zN8k/4aEhH7fu4ceN47bXXrrmf4OBg7r77bu6++26gYnfPo0ePass2P/roI3744Qduuukmbdnm9OnTiYiI4MSJE1rNvNmzZ3P69Gk6duyohbzY2Fh8fHx+h6cVQgghqk9CnRBCVMHX15dJkybx2GOPYTKZ6N69Oy4uLnzzzTds3rwZDw8PHA4HVuvPs1uKouDqqg9fkcE+uJqyKS2v2P3RcnATvvH/wrttT+2c0rPHyV09BXtJodM4PG/qwsWdy7GdP1PlWP/z70cJ7PMcHk1iUQwGMmcNo1bP0SgGI8GDpmrneTSLw6NZnNP1igL/aFOf2fafyxUYjcYqa9Tpr/35fbu5c+fSq1cv7fvMmTNZ8tk63O/rggVAVX8xm/j/15vMV70HKrjUaYg5uAll2RXLUKdNm8a0aT+XR2jSpAnt2rVj7969V+/vF4xGIy1btqRly5YMGzYMqNj5c+/evSQnJ7Nq1SrGjRuH1WrVlm3ee++9vPbaa6iqqi3ZnDx5Mnv37qVRo0a62bwGDRrofiMhhBDi9yZ16oQQ4ioSExN58803OXLkCN7e3rRv357x48fz9ddfa8v0LqtXrx6ZmZmEh4eTk5OD0WhEBUrK7LiFR+Eb24/sJc8S+th8jB6+umuz5j6KV9s78WjUkTOzhxM2do1WbqDs+DbOrprKiy++yEsvvaRds2XLFvr27cuFCxcwBzehzqApGFzcdHXqLnMLj6L2vc9X+oyXa+G1DvWr9HhmZib169e/pt/tcl2/0NBQgh98k7Jzpzi/fqbTeWFj15CzdLxTnTqXgHqEDH0L609p5K17g9DH5uNmMvJ8r+b0bV2bWrVq6QJ1VUwmEx9++CFDhgy5pvH/WlZWljabl5yczN69ewkJCdGWbcbExBAZGcmhQ4e0ouhJSUkYDAZdyGvTpg0uLi6/aSxCCCHEL0moE0KIP5DVamXo0KF8W9YIj8YxUM33y35JUaBHizrMTuhw1XMX7zzF5PVHKLFdfYbtMkeZlQub5mFJ/dLp2CuvvML48eOd2q815P1yFvG3Mqp2Ho8PYcxd0U7H8vPzadGiBTk5OVftp2nTphw7duy6x2G32zl06JAu6P3444+0adNGW7bZsWNHHA6HFvCSkpI4deoU0dHR2uYrnTp1ws+v8jAthBBCVIeEOiGE+AM4HA4mTZrElClT8PDw4Nnps/n4J19KbNdeC+1qs2i/VhHsjmItt3Olv/CKAoq9nNyvP6g00FXHbbfdxv79+1mzZg233XZb1fcyu1Nn4FRcgxsBYEn7hvNfvl2x9FJRMPkF43frA3g0/vmdOVtBNlmzR+DV9k5q9XhU15+jzIrrt9Mov3iOnJwcfHx8iIyM5OGHH2bAgAHaeevWrWPSpEmkpqZis9mu+jwmk4k333yTqVOnsnjxYjp37nxNv0dRURF79uzRBT273a6bzWvSpAmHDx/WQt6ePXsIDw/XzeZFRETIkk0hhBDVJqFOCCF+Z59++imPPPIIFouFsWPHMnHiRAwGw3XNorm7GBjfszkJseHXNIa0zAJmbUln87FcFCoKi1/mZjKgAl2aBfFo58aVhsXw8HDmzp1Lt27drum+V2Lw9KPeqLkYzG5Y0r7BkvY1wQnTUFUHRXu/oGDLfOo9Nh+je0VtuIJtSyja8zmgEvr4IhTTz0sW87+eTfmpPdT190RVVR577DFatGjBJ598wvz584GKDVyGDRvG+++/T9++fbl48SLPPfccmzZtYt++faiqSpMmTcjPz7/q2CMiItizZw8BAQHX9MyqqpKZmakLeSkpKYSFhWkhr127dlp9vctBz+FwaAEvLi6Otm3bYjZX491DIYQQNyQJdUII8TtJSUlhwIABpKen069fP+bPn4+Hh4funGuZRXMzGRnfM/KaA90vnbeUsiIlk6Nniyi02vBxcyEyxJt+7UKp5VV17bjLoa5r165a2/z585k7dy7btm0DICQkhOzs7Gsaj1fUnfjfMZxLh7dy6cBGghMqNjpxlFk5PaMfwQ++qRVhPzP7IXw69qVg2xICuj+MZ+TNANjyz5D14SOEDZ3B3pmjOH4ghXfeeYcNGzYwYMAAHn/8cVq0aEF4eDiPPfYYY8eO1e7vcDho3bo1ffv2ZdKkSdoz+fv706FDB1588UVef/113TVVMRqNTJkyRStmXl02m42DBw/qgl5GRgZt27bVgl69evX48ccftWWbJ06coH379rqg5+/vf033FUII8b/rt7/cIIQQN7hz585x++2306FDB/z8/Dh58iSffvqpU6ADSIgNZ9nIWHq0qIOryYCbSf9n2M1kwNVkoEeLOiwbGfubAh1ALS9XRt3aiDfvj2Leg9G8eX8Uo25tdMVAV12enp6899577NmzB5PJRHZ2NqqqoqoqDz74YKXXWFK/JCfxGcoteVxOtarDjmX/Vyhmd1z86wJgPX2Q8qI8PFrcimfkzVw6uEnrw/rTfozegbjXbcrKfWeIi4tj6dKlHDp0iDp16tC1a1diY2PJyMigT58+uvsbDAbuvfdeNm7cqGt/+eWXefPNN8nPz+fpp5+mXr16bN68WXue8+fPO9XAs9vtjB07FkVRdJ+6dev+H3v3HRbF9f59/L1L71VEQIqKiqJRsWCJYkVNvpZExd57sMauEaOxxxgFsUfAhoVEY4+9ixUFRSVGBRULVWDpO88fPu4vBFSsC3he17XXlezOzH5mVdh7zplzv3b0T0tLi5o1azJ06FDWrVvHjRs3ePjwIT4+PpiZmbF+/Xo6duzIhAkTiPehZmAAACAASURBVI2NpVu3bmzevJnRo0ejpaXF4sWLcXBwoGrVqgwePJjAwED+/vtvxDVaQRCEz5doaSAIgvCOcnJyVF/MbW1tOXbsGI0bN37jftXtTFnRs/Y7j6J9Kh06dMjTWDsrK4tatWoBcOrUKe7fv0+XLl2wtLSkfPnybNq0iTFjxqi219HRITMzM99xM2OjaDHEh8OnNhO92AuZXANNszKU+mYqcl0DANLCj6BXrjYauoYYVG3C442TyE1LQsPAlFzFczQMzcjIUXIzNgUAOzs7UlNTycjIIDw8nA0bNnD+/HmaN2/O8OHDGThwIJaWlsCLEca4uLg8mWrUqEGrVq2YP39+gb3vzM3NiYqKyvd8QEAAgwYNIifn/1pBxMbGYmFhkWc7uVzOuHHjXtlXz8TEhBYtWqhGRiVJ4v79+6qRvF27dnH16lWcnJyoV68enTp1wszMjMePH7Nv3z6mTZtGVlaWavGVhg0bUqtWrXztNQRBEISSSRR1giAI72DRokX88MMPaGhosHz5cgYPHvzWx3g5ilZU7dixo8DplwCBgYG0atVKVSh1796dwMDAPEXduHHjmD17NgAuLi78+OOPdO7cGYDMXNCxrayafvlvyuxM0m6dwqLNSAB0bF3QNC5F2o3jGNdpj4aeMbmpL0bCNm77nV+71syzf8WKFVX3n3399dfcunULZ2dnOnTowIgRI4iNjVXl/reZM2dSt27dPOfwJn379i2wVULVqlW5cePG/52TUpmvrx5AqVKluHnzZr579WQyGY6Ojjg6OuLl5QW8mLZ57do1QkNDOXPmDKGhocTGxlKrVi26d+9OuXLlyMnJITIykk2bNnH79m1q1qyZZ8rmf4tNQRAEoWQQRZ0gCMJb2Lt3L/379yc+Ph5vb28WLVqE/AMs01+cpKens3XrVnJzc7G2tgYgMzOTpKQkrl69yhdffKHa9uWUwIMHD9KnTx++/vpr9PT00NN69WeWfvssUqaChAP+JBxcAYAyI420iCMY12mPrkN1Eg6uIDM2CmVGWoHHyMp60eB8+fLlqucCAgJUi6jAi3vidHR00NbWJiIiAldXV7755hvmzJnzbh/Mv1y/fj3fcyEhIXTr1i3PKpzPnj3LV2jJZDJGjBjBkiVL8jyvpaWFm5sbbm5uDB/+YjXQxMREzp8/T2hoKH/++SehoaHo6elRr149OnbsiIGBAfHx8fj6+tKzZ09sbGzyrLLp7OwsVtkUBEEoAURRJwiCUAiRkZF4eXkRERFB27Zt2bRpE8bGxuqOpRY7duxAQ0OD8PDwPCsydunShaCgIBYtWpRvn5YtW2JjY8OqVavo2LEjkZfOIikLXgU0NeIwBtVbYta4t+q5nNR4HgeMIevpPbStHDGs0Zq4nfPpNXIqy7Yp0NbW5vTp069tq/BfSqWS9PR00tPTqVatWr7XmzZtCrwopkqXLq0q+AwMDAr9Hv/27bffqorNf3Nzc+Py5cuq/5ckiaVLl7J06dI825mamnLhwoU89/aZmZnh6emJp6enat9//vlHNW1zz549hIeH4+zsTJcuXbC1tSUnJ4e//vqLGTNmoFAo8kzZdHNzQ1dX953OTxAEQVCfz+vysiAIwltKSkqibdu2VK1aFXhR3O3evfuzLejgxdTLfv36YW9vj7W1terh7e3Nxo0b89xf9m/16tVj7NixODg48DjiTIEjRDkpcWTcu4px7fZoGJqpHjrWFdAtV4u0iMMAmLcahlGtr1g3axQGBgaYm5vzww8/sGXLFnJzc1ULnOzYsYPatWujr6+PmZkZhoaGb32+2dnZPHjwgKVLl2JoaJhvYRSZTIZcLkdfX58aNWoQHBz8Vse/dOmSKu/Lx4EDB/IVV0lJSaqRtX8/evf+v+JXJpNRvnx5unfvzpIlSzh37hwJCQmsWrWK6tWrExUVRXBwMHv37qVChQp4eXlRsWJFbt++zahRo7C0tKRhw4ZMmDCBnTt38uzZs7f+vARBEIRPT7Q0EARBKIBSqWTMmDH4+/tjaWnJb7/9Rps2bdQdq9hJT09nwIABhISEkJWVhbW1NYsWLaJ79+4MXn+Rg5FPXtva4VVkMvCsUpoxdYz4/vvv+euvv9DQ0KB9+/b8/PPP2NnZFfpYSUlJBAQEvNW9dO9KLpdjZmaGu7s7vr6+ODk5vdX+Hh4eHD9+/I3bGRkZcfny5Xwrdr4UFxenmrYZGhrK+fPnMTY2platWpQuXZqcnBzu3bvHhQsXsLKyyjNls3LlymLKpiAIQhEjijpBEIT/WLVqFd9//z25ubn89NNPjB07Vt2Rip3z58/Tp08fbt68iVwup2HDhmzevBlbW1vVNldjkui6+hzp2blvfXw9LQ22DHZXNU7Pyclh8eLFLF26lIcPH1KxYkWmTZtGz549C31MpVLJ/v378fPz4+LFi/Tv359hw4bh4OAAgK2tLY8ePXrrrO9CW1sbW1tbunbtytSpU1875fP8+fM0bdoUhULxxuN26NCBP/74I9/zkiQRFRWVp3fejRs3qFSpEs7Ozujq6pKYmEhERATJycl5pmzWrl0bPT299zpfQRAE4f2Iok4QBOH/O3bsGL169eLRo0f079+f5cuX51nSX3izH3/8kUWLFpGSkoKhoSGjR49m1qxZr9z+RTP2SNKzC76/riB6WnKmtnV5ZQ+/a9euMX78eI4cOYK2tjbffvstCxYsUC3qUhhRUVH4+/sTFBRE48aNGTFiBE2bNn3lCNXly5dxc3Mr9PH/Sy6Xo3zFPYavIpPJMDAwwMXFhZkzZ9K6des8r3/11Vfs3bv3jccxMDDgyJEj1K1bN8/zGRkZXLlyhdDQUM6dO0doaChJSUlUq1YNKysrsrOziYmJ4datW1SvXl21wmbDhg0pXbr0W52LIAiC8H5EUScIwmfv/v37dOrUiUuXLtG0aVO2bNlS4JL3QsEeP35M165dOXnyJEqlkooVKxIYGIi7u3uh9n9R2N0kIyf3tVMxJaUSXS0Nfvi6SqGasmdlZbFgwQKWLVvGkydPqFKlCjNmzKBTp06FPDNITU1lw4YN+Pr6AuDt7U2vXr3e+t689xnla9SoEU+ePCEmJoaMjIy33l9TUxNTU1OaN2/OyJEjadWqFWlpBa8a+m+tWrXiwIEDeZ57+vRpntG8CxcuYGZmRrly5VSjeZGRkVhYWOSZsuni4vLZrRIrCILwKYmiThCEz5ZCoaB37978/vvvODs7s2XLFmrUqKHuWMXGtm3bGDVqFLGxsWhpadGxY0cCAgLeaSretQdJ+B/7m6O3niEDMnL+b9RKV1OOBOTEXEX3nxNcP/Hm0af/unDhAhMmTODkyZPo6enRtWtX5s+fn68/3KtIksSxY8fw9fXl+PHj9OrVi++++w5nZ+e3zvJf7zvKl56ezvPnzxk5ciTHjh0jPj7+lYvVvC9dXV127txJq1atgBdTVm/dupWn0Lt58ybly5fH0tKSnJwcoqOjSUlJoX79+qoir06dOujr63+UjIIgCJ8jUdQJgvDZUSqV/PDDDyxcuBAjIyNWrlz5VqM3n7OsrCwGDx7M5s2bycrKwsrKivnz5xfYgPtdxKdmsv3yA27GpvA8IxtjXS0qlzGiUy074h7ew8XFhR07dtCuXbt3On5GRgazZs1i9erVxMXF8cUXXzBr1iy+/vrrQh/j/v37rFixgrVr1+Lm5saIESNo3br1RxuJKlWqFHFxce+07/jx4/M0PN+/fz8zZszg+vXrKBSKt57y+SoNGzbk1KlTwIuLJZcvX84zbTMlJQVHR0fVaF5MTAxVq1bNM5pXpkyZD5JFEAThcySKOkEQPisbN27E29ub9PR0pkyZwrRp08S0sEIICwujV69eREREIJPJcHd3Z+PGjW+9euP76tixIydPnuTp06fv/ed26tQpJk2axNmzZzEyMqJHjx7MnTu30O0q0tPT2bJlC76+viQnJ/Pdd9/Rr18/TE1N3yvX23ifUT65XE5aWlq+1glpaWksXLiQoKAgHj58WGBvvcLy8PBg9+7dPH/+PN+0TVNTUywtLVX35pmbm9OoUSNVkVe1alXxb1MQBKGQRFEnCMJn4cKFC3Tt2pV79+7RtWtX1q5dK5osF8L8+fOZO3cuycnJ6OvrM2zYMObPn4+GhoZa8igUCszMzJgyZQo+Pj4f7Jg+Pj789ttvJCYm4ubmxpw5c2jZsmWh9pckibNnz+Ln58e+ffvw8vLC29sbV1fXD5LvfVhaWhIfH/9O+06ePJk5c+a88vW7d+8yZswYTp06RWJi4juN+mlqamJgYIChoSHx8fHY2Nigo6NDYmJinsboDRo0oF69eu/c+F0QBKGkE0WdIAgl2uPHj+nSpQunTp3C3d2drVu3vlUPs89RQkICXl5eHDlyBKVSSbly5Vi7di0eHh7qjga8WGFzzpw5JCYmfvD7sg4fPszkyZO5ePEipqam9OvXj1mzZhX6fWJjY1m1ahUrV66kUqVKjBgxgnbt2hXJVVT9/PwYMWLEO+2ro6NTqEVbJk6cmGf657t62Wjd2dkZT09P1Wjev1tkCIIgfM5EUScIQomUlZXFoEGD2LBhA/b29mzatIn69eurO1aRtnv3boYPH05MTAyampp89dVXbNiw4a1XevzYlEolVlZWfPnllwX2XPsQnj9/ztSpU1m/fj0pKSm4u7szf/58GjVqVKj9s7KyCAkJwc/Pj5iYGIYNG8agQYOK1aqqJiYmPH/+/J32/eGHH5g5c2aBryUkJODq6kpsbOz7xMtHU1OT0qVL8+233zJnzhwxqicIwmdFTFYXBKHEmTt3LiYmJuzYsYPffvuNu3fvioLuFXJzcxk6dCh6enr873//Q6FQ4O/vT3Z2Njt27ChyBR28uBfst99+Y+fOndy6deujvIexsTG+vr4kJSWxc+dO0tPTady4MVZWVkyZMuWNo1Ta2tp069aN06dPs2PHDqKionB2dqZv375cunTpo2T+0JKTk5EkqcDHyxYPrzJr1izV6Np/Hy/bO/z3mD4+PoWe1lvQyGdOTg4PHz5k6dKlGBoaFvjecrkcfX19atSoQXBw8Dt9LoIgCEWRGKkTBKHE2LlzJ4MGDSIxMZExY8Ywb948sdDCK0RGRtK9e3fCwsKQyWTUqlWLTZs2UbFiRXVHK7Tq1asjSRLh4eGf5P0SEhKYNGkSwcHBpKWl8eWXX7Jw4ULq1KlTqP3j4uJYu3Yt/v7+2Nra4u3tTadOndDW1v7IyT+99xnlmzVrFtOmTQNefOY1a9YkOjq6UO9Zu3ZtLl26hEKhICcn551X95TL5ZiZmeHu7o6vr+8HWRAoLjWT7ZcecPPxc55n5GCsq0lla2M6u9lhYajz3scXBOHzJoo6QRCKvYiICLp06cLNmzdp374969evL5IjTEWBr68vPj4+JCYmoqenx4ABA/j111/VtvDJ+4iKiqJSpUqEhITQsWPHT/reISEh/Pjjj0RERFC6dGmGDh3K5MmTC1Wg5eTksGvXLvz8/Lhx4waDBw9myJAh2NjYfILk6vc+9/IZGhqSkpKCn58fo0ePJjc39437WFlZkZSUhI6ODtnZ2ejp6VGvXj2aNm3KmTNnCA0NJS4u7p16+2lra2Nra0vXrl2ZOnVqgVM+r8YksezY3xy//QyAzAJ6MHpUKsXwJhX4ouynWzlVEISSRRR1giAUWwkJCXTt2pVDhw5Ro0YNtm3bRvny5dUdq8hJTk6mR48e7N+/n9zcXBwcHFi5ciWenp7qjvbeOnXqxNGjR3n27JlaRmWfPn3KhAkT2LZtG5mZmTRr1oyff/6Z6tWrF2r/69evs2zZMjZv3kzr1q3x9vamQYMGyGSyj5y86DI2NiYlJeWjv49cLkdHR4fc3FwqVapE8+bNadOmDe7u7nnaWhw/fpzp06cTFhZGamrqW43+GdZog1nzAcg0tJG95u+nTAa6mhpMbVuZnu6O73NagiB8pkRRJwhCsZOTk8PIkSNZtWoVpUuXJigoiObNm6s7VpFz8OBBBg8ezL1799DQ0MDT05NNmzZhYmKi7mgfzMsWBxMmTGDWrFlqzbJhwwZmz57NrVu3sLGxYeTIkYwdO7ZQK18mJSURGBiIn58fRkZGeHt7061bN/T09D5B8uLjfUb5CkMulyOTybCysqJu3bq0a9eOZs2a4eDgUGChHRERQeXKldHU1GTRokWsXLmSmJgYMjIyVAWdXKvwrVOk7EzKJV9hy+wRWFlZfchTEwShhBNFnSAIxYqfnx+TJk1CkiTmz5+Pt7e3uiMVKbm5uYwdO5bVq1eTnp6OmZkZ06ZNY+zYseqO9tH89NNPzJw5k4SEhCIx7fbBgweMHz+eHTt2kJubS8uWLfn5559xcXF5475KpZIDBw7g5+fH+fPn6d+/P8OHD8fBweETJC/+9PT0CtVq4V2OW7VqVZo3b07Hjh1xc3OjadOmnDp1CoBnz57lWdn0akwSXVefIz37zdND/0uZncGTjZPIevx3ga/r6Ohgb29P3759mTJlyrudkCAIJY5YQUAQhGLh8OHD2NraMnr0aHr37k1ycrIo6P7lzp071KlTBy0tLZYuXYqzszPh4eEkJCSU6IIOYNq0aZiamtKjRw91RwHAzs6OzZs3k5aWhr+/P7dv36ZKlSo4OjqyZMmS107fk8vltGnThj179nD27Fmys7OpVasWHTt25PDhw3zu12EdHR3R1tYmLi4uz/M1atRAJpMRGRmZb0VNgNDQ0Deu2Pk66enpXLx4kfnz5+Pu7o6WlpaqoAMoVaoUurq6GBoaYmhoSG1nG5LuRRR4rMcbJ5Fy9UCe57KTHnN/3v+IP+CPhrYubcb9Sr169VSreP5bZmYmUVFRTJ069ZUrjMpkMgwMDGjSpAnHjx8nICCgwHYcjo6OHDp0CIC+ffuira2tOgdDQ0O++OIL1bZr166lcuXKGBkZUbp0ab766qtPMk1WEITCEUWdIAhF2p07d6hVqxYtW7bE1dWVp0+f4u/vXySbOavDypUrsbS0pEKFCoSHhzNgwABycnK4evUqrq6u6o73yQQEBLBr1y4iIyPVHUVFLpczcOBAoqKi+Oeff3Bzc2PChAno6enRsWNH7ty589r9K1SowC+//ML9+/fx9PRk1KhRVK1aFX9/f1JTUz/RWRQ9Tk5ObN68WfX/4eHhpKen59tOkiTWr1+Pubk5gYGBeHt7q4q9devW0bBhwzwFoK5u4adJFiQzM5P09HQW+q7Aadx2dGzfPDL7UlrEEeS6higiT6DMziYySc6eQ8dJSUnB29ubcuXKcfjwYTIyMkhLS2PDhg38+OOP+Pj4UKZMmQKPqVAoOHHiBB4eHvTr14/Tp0/nK/zu37+Pl5cXffv2JScnhwkTJpCamqp6XL16FXhxX+GUKVPYvHkzKSkpREZG0qVLl/f6vARB+LBEUScIQpGUmppKhw4dcHZ2JiMjg2vXrnHgwAHMzc3VHU3tUlNT+fbbb9HS0mLo0KHo6ury+++/k5GRwerVq4vlSpbvq23btnzxxRd06tRJ3VEK5OTkREhICOnp6SxatIgrV67g7OxM+fLlWbVq1WtH7wwNDRk6dCjh4eEsW7aMw4cP4+DgwOjRo7l9+/YnPIuioVevXgQFBan+PzAwkN69e+fb7uTJkzx69IglS5YQHBxMVlbWa4+bnp6Og4MDBw8ezDfaV7NmzUJlUyqVbDxzh8zMzLc6p7SII5g27gVyTRR/hyIDtl9+QFRUlGohnWbNmqGjo4O+vj49evRg+vTpzJgxg/LlyzNs2LB8ff9at25N3759+eeff6hZsyaampoF/mxISEggMDCQjRs3Mnv27AJH/Vq0aIFCoeDChQsAmJub06dPH4yMjN7qPAVB+HhEUScIQpGiVCqZMGEC5ubmnDlzhj/++IMbN258VqNOr3LixAmcnZ0xMjJix44dNGnShKdPn/LgwYNPvqR/UbR9+3YiIyPZvn27uqO8klwux9vbm3v37hEZGYmLiwve3t4YGBjQtWvX1/Zjk8lkNG3alJCQEK5cuYKenh6NGjVSTdd8155sxY27uzvPnz8nMjKS3NxctmzZQs+ePfNtFxgYyP/+9z+8vLwA2L179zu/Z5UqVZAkiczMTCZOnIiFhcUrt63doh0yzcL3HsyIiSAnJQ79Ko0xqNyItIgjZOQouRmbwuHDh7Gzs6Nu3boF7qtQKDhz5gydO3fO91qXLl3466+/cHJyYuTIkdSrV4+cnJw8hd+/i9jGjRtjZWWFvr5+vimfOTk5pKamMmTIkFdO99TQ0MDMzIyWLVsSEVHw1FNBED4eUdQJglBkBAYGYmZmhq+vLzNnzuTp06e0b99e3bHUKjc3l4kTJ2JoaKgq4ubMmUNubi6HDh2iVKlS6o5YZJQvX55OnToxePDgYlHgVKpUid27d6NQKPjpp584ffo0jo6OVK5cOc9IVEHs7e2ZO3cu0dHReHl5MX36dCpWrMjixYtJSkr6RGegPi9H6w4ePEjlypWxtbXN87pCoWDbtm10794dLS0tOnXqRGBg4Du/39atWzE1NUVPT4/Vq1fnu3Agk8kwMTHBxMSE5f0aE73YC2VW4RZsSQs/gl652mjoGmJQtQnp/1wiNy2Jjdt+Z9iwYURHR6Orq4uJiQn29va4ubnRqVMnZs+ezaFDh1AqlQVOwSxTpgzPnj0r9Dk6OTmRnJyMlpYWxsbGmJiY0Lt3b1UBuHfvXtq0aYO2tjYymSxfCxGlUklSUhKHDh2iWrVqryz+tLW1KVu2LKNGjSItLa3Q+QRBeD1R1AmCoHZnz57F0dGR/v3706FDB5KTk5k0aZK6Y6lVdHQ0DRs2REtLiwULFuDo6MiVK1dITk5m8uTJ6o5XZAUFBaFQKJg2bZq6oxSapqYm33//PTExMYSFheHg4MCAAQMwMDCgd+/ePH78+JX76urq0rdvXy5evMj69eu5ePEiTk5OqumaJVWvXr3YtGkTAQEBBU69/OOPP9DU1KRt27YA9OjRg3379r1VkfNvXbp0ISkpiSdPnuDq6sqlS5dUxc7Ro0exsbEhKSmJpKQkhq07gf2YLci133yPnjI7k7RbpzCo6gGAjq0LmsalSLtxHFN9bUxNTZHJZEiSRGpqKg8ePODy5cuEhIQwbdo01UUvFxeXfKNmX3/9NTk5OZQpU4YffviBiIgIJk6cyL59+8jOzgYgOzsbLS0tVZ5x48apzuNlm42X2rRpw969e0lPT+fgwYOYmJiwYsWKfNM+JUkiPDwcT09PzMzM8hV/2dnZPHjwgKVLl6oWgvnvQy6Xo6+vT40aNQgODn6nPzNB+NyIok4QBLV58OABDRo0oGHDhtjb2/Pw4UMCAwPR1i781KWSJigoiNKlS+Pg4MDFixfp1asXmZmZREREUKNGDXXHK/J0dXXx8fFh4cKFPH/+XN1x3lr16tU5cOAA6enpTJ48mUOHDmFjY4Orqytbt2595X4ymYz69euzceNGbty4gY2NDZ6enqrpmjk5OZ/wLD4+BwcHnJyc2Lt3L998802+1wMDA0lNTcXe3h5ra2s6d+5MdnZ2ngVW3oWlpSUrV65kxowZxMbGFrhNZWtjdDQL9/Uq/fZZpEwFCQf8ifHtSYxvT3JS4lFcP8L3A7tx/vx5ZDIZp0+fJjc3F6VSma+AqlmzJg0aNKB79+7UrVsXR0dHTExMVCulPnnyhAcPHpCcnMyCBQto27atarTt0aNHeHh4IJPJCAwMZO7cuRgaGlK6dGkqV65MixYt8Pb2ZsuWLSQnJwMvphA3b96cZs2avXKapaurK/v37ychIYHc3NwCCz9Jkli5ciVVqlRBT08vz5RPSZJIT0/n6tWrdOvW7bVTPi0tLfn666+5e/fu2/xRCkKJI4o6QRA+uYyMDLp3746DgwNPnjwhNDSUEydOYG1tre5oapGenk7Xrl3R1tamT58+aGhoEBwcTGZm5mdf5L6LyZMnY25uTvfu3dUd5Z1pamoybdo0Hj16xPnz57GysqJ79+4YGRkxaNAgEhISXrlvmTJlmD59Ovfu3WPIkCEsXrwYJycn5syZ884jVUXR2rVrOXLkCAYGBnmef/jwIYcPH2b37t2EhYURFhbG1atXmThx4ntNwXypcuXKeHp6smDBggJf7+RmV+hjpUYcxqB6S2wGLMOmny82/Xyx7rWQzMf/UEUnCWdnZ4YPH063bt04duwYWVlZZGRkEBwczLx58wBYunQpYWFh1KtXj0OHDnH58mWGDx+Orq4uV69eRalUkpGRgaOjI3PmzCE9PZ3IyEiaNWuGlZUVX375JeXLl0dHRwe5XE5mZibPnj3j1q1bHD58mGXLltG1a1fVqOHLR0hICH5+fmhpaaGvr69ahbdRo0b079+f5cuXv/YeUYDBgwdz/fp1FApFgQXryxHKAQMGYGNjk2/VY6VSSXx8PHv27KFcuXKvLP50dHRwcnJiypQpYsqnUHJJgiAIn0hubq40Y8YMSUdHRzI1NZU2bNig7khqFRoaKlWqVEkCJLlcLjVu3Fh68OCBumOVCHv37pVkMpkUERGh7igfTHp6ujRt2jSpVKlSkkwmk7744gtp586dhdr30qVLUv/+/SVTU1OpT58+0oULFz5y2o/DwcFBOnjwYL7ns7OzJUC6e/euNHfuXKlWrVr5tnn48KGkqakphYeHS+vWrZMaNmxYqOP7+PhIPXr0yPPcuXPnJH19fenJkyfS0aNHJZlMJhkYGKgemjp6UqmOkyWHSbvzPXTKukrmbUZKtt8FSMjkUpn+fnled5y0SypbvYH0/fffS5IkSUqlUvr111+lKlWqSHp6epKNjY3UpUuXPH+3T548KTVp0kQyMDCQAMnOzk46d+5cnszXr1+XWrVqJVlYWEhWVlbSt99+K0VHR6te79Onj6SlpZXnPCwsLCRJkqTjx49LjRs3SfVwPwAAIABJREFUloyMjCQtLS1JX19fsrKykqysrCQDAwNJS0tLkslkEvDGh0wmkzQ0NCRdXV3J1NRUsre3l+rUqSN169ZNWrBggXTlypU3/TUo0Llz56SmTZtKxsbGklwuL1SW/+YyNDSU6tSpI+3bt++dMgiCOskk6TPvZCoIwiexfft2hgwZQkpKCuPHj2fWrFn57rX4XPj4+LB48WJSUlIwNDRk9OjRzJo1S92xShw3NzcUCkWR6l33oZw6dYpJkyZx9uxZDA0N6dmzJ3PnzsXY2Pi1+8XHx7NmzRr8/f2xsbHB29ubzp07i9HgD+xqTBJdV58jPTs332ux60Zh0rAr+hXrF7xzThbl7u5k/ZLZ+RaAKdR7X71Ks2bN2LRpE56enm+9/4eUnZ3NsWPHOH78OFevXiU6Opq4uDhSUlLIzMzMsxrn67wccdPU1ERXVxcjIyNKlSqFvb09NWvWpEmTJjRq1CjP/YGvsmjRIlatWkV0dDQZGYVbzObfNDU1MTU1pXnz5ixduhQrK6u3PoYgfAyiqBME4aMKCwvDy8uLqKgovv32WwIDA9HX11d3rE/u8ePHeHl5cerUKZRKJRUrViQwMBB3d3d1Ryux7t+/j5OTE8HBwSW2UbJCocDHx4fffvuNxMRE3NzcmDNnDi1btnztfrm5uezatQs/Pz+uX7/O4MGDGTJkCDY2Np8oecm34dw9Zu+NJD37/1ZizXp2n8eBY7AZtAJNk/zFgJ6WnImtKnL/8AaWLVvG/Pnz6du3b74WA29y8uRJQkNDGT16dL4pi0VddnY2YWFhHD58mEuXLnH37l2ePXtGcnIymZmZZGdnq6ZqvsnLQlBHRwcDAwMsLCyws7OjSpUqNGnShFatWhX4++jp06eMHTuWQ4cOER8f/073pOro6GBvb0/fvn2ZMmXKW+9fEsWlZrL90gNuPn7O84wcjHU1qWxtTGc3OywMddQdr9gTRZ0gCB9FXFwcXl5eHD16FDc3N7Zv346Dg4O6Y31y27ZtY9SoUcTGxqKlpUXHjh0JCAhAT09P3dE+C926dWP//v3Ex8eX+JHhw4cPM2XKFC5cuICpqSl9+/Zl5syZGBoavna/GzduqBpct2rVCm9vbxo2bPjWhYSQ34vC7iYZObkkHFlH2vWjGLt3wrh2uzzbyWSgq6nB1LaV6enuCLwYcevbty/W1tasWrWKsmXLquEMio87d+6wf/9+Lly4QFRUFLGxsSQnJ5Oenk5WVtZbFYIaGhpoa2ujr6+Pqakptra2VKxYEXd3d9q0aaNqIbF//35mzJjBjRs3SEtLe+tWKnK5HAMDA6pVq8acOXNo0qTJO517UXc1Jollx/7m+O0X9/Rm5vzf56SrKUcCPCqVYniTCnxR1lRNKYs/UdQJgvBB5eTkMGzYMNatW4eNjQ1BQUF4eHioO9YnlZWVxaBBgwgODiYrKwsrKyvVFXfh08rIyMDU1JRRo0Yxf/58dcf5JJ4/f860adMICgoiJSWFevXqMW/ePBo3bvza/ZKTkwkICGDZsmUYGBgwYsQIunXrJi5AvKdrD5LwP/Y3R289QwZkFPCFtmmlUgz3qEB1u7xfaLOzs5k3bx5Lly5l3rx59O/fXxTbH1BcXBx79uzh3Llz3Lp1i4cPH5KYmEhaWhrZ2dmq6aFv8rINg5aWFnp6epiamlK6dGmcnZ1xdXUlOjqa/fv3ExMTQ1ZW1lvn1NTUpFSpUrRq1Ur177O4+PeFjdd9lAVd2BDejijqBEH4YH755RemTZuGhoYGP//8M0OGDFF3pE8qLCyMXr16ERERgUwmw93dneDgYOzt7dUd7bO2cOFCpkyZQnx8/BvvOStp9u7dyw8//MCVK1ewsLBg0KBBTJ8+HV3dV/dQUyqV/PXXX/j5+REaGkr//v0ZNmwYjo6Ony54CRSfmsn2yw+4GZvC84xsjHW1qFzGiE613jz17Nq1a/Tr1w9LS0tWr14tfqaokUKh4OjRoxw9epTr168TExNDXFwcaWlpZGZmqlpPvMnLQvDf00MVCgUKhULVR/Bt6erq4ujoyJgxYxg8ePA7HeNDKmgK8pvoacmZ2tZFFHbvQg2LswiCUMLs3btXsra2ljQ1NaWRI0dKubm56o70Sc2bN08yMTGRAElfX18aP368lJOTo+5Ywr9YW1tLbdq0UXcMtYmPj5cGDRokGRkZSXK5XGrSpIl0/vz5N+4XFRUljRkzRjI3N5fat28vHTx4UFIqlZ8gsfBfWVlZ0uzZsyVLS0tp1apV4s+hGMnKypJOnDgh/fjjj1KHDh2kmjVrSnZ2dpKxsbGkra0tyeXyQq8e+r4PuVwumZqaSi1atJDmzZsnubm5SQYGBpK1tbXUunVr6eTJk6rc169fl/73v/9JxsbGkqGhoeTh4SGdPn1a9frvv/8uAVLNmjXznO+zZ88kTS0tSdPESrWqq4axlYRcU7IbuTHPaq9aVk4SINkOXSs5TNotGbg2lywadZWuxiRKkiRJa9askSpVqiQZGhpKVlZWUtu2baXnz59LkiRJMTEx0jfffCNZWFhIxsbGkqurq7Ru3bo8WVJTUyUDA4MCf/7/e7XbdevWSXK5XDIwMJCMjIyk6tWrS7t27VJte/fuXQnIszqsgYGBFBwc/H5/OT4gUdQJgvDObt68KVWrVk2SyWRS27ZtpcTERHVH+mTi4+OlFi1aqJbOLl++vHT06FF1xxJe4a+//pJkMpkUHh6u7ihqt337dtW/W2tra2nGjBlSZmbma/dJTU2VVqxYIbm6ukqVK1eW/Pz8VF+shE8rPDxcql27ttSiRQvp3r176o4jfETh4eHSokWLpO7du0t169aVHB0dJblcLmlpaUkaGhoftRDU1NSUZDKZVKtWLSk6Olp6/vy5tGTJEsnAwEA6c+aMJElSnu0nTZqkyr1kyRLJxNpe0vhPUadpbiuZtRiieq5Mfz9J09w2X1Fn0sBLGrL+gnTs2DHJyspKunz5siRJL37vBgQEqH72eHh4SKNGjZJSU1Ol7Oxs6fLly9LevXvzfIYBAQGSubm5pKGhIT169CjPa/8t6l62OcnNzZVWrFghGRgYqL7XvCzqsrOzP8Kf9IchijpBEN5acnKy1LZtW0kmk0nVqlWTbty4oe5In8zOnTslOzs71S+9Dh06SCkpKeqOJRSCm5ubVLFiRXXHKDKePHki9enTRzIwMJA0NDSkFi1avLFHmFKplI4ePSp98803kpmZmTRy5Ejp1q1bnyix8FJ2drY0d+5cydLSUlqxYoUYtfuMvKpX49GjRyVbW1vp/v370qpVq6SBAwdKjRs3lsqXLy9ZWFhI+vr6qkLtY44ESpIkfVGzlmTh0VvSMM5b1Jl82VPStnZWPWdct6Nk2rhXvqLOuIGXVHHaXmnGT3Ol9u3bv/KzMDAweOPPrKZNm0pTpkyRatasKS1cuPCVn+V/e1empaVJgGpGQ3Eo6kr2UmCCIHxQSqWSMWPGYGFhwaVLl9i9ezfXrl3DxcVF3dE+qtzcXAYPHoyuri7t27cnPT2dFStWkJ2dzR9//PHG1QWFouH333/n77//ZvPmzeqOUiRYWVkREBBAamoqgYGBPHjwgFq1amFnZ8eCBQsKXMZdJpPh4eFBSEgIYWFhGBgY0KhRI1q3bs3u3bvfevU/4d1oamoyadIkjh8/zm+//UaLFi24e/euumMJRYC9vT2DBg1i9erVHD9+nL///lt1z9/LdhD79u1DQ0OD7OxsJEkiKSmJ7du3M3LkSFq2bImLiwtyuRxtbW20tLTeanEemUxGbFwiujaV8r2mY1sZZZaC7LgYJGUuaZEnMajatODjACnGjhw4cAAfHx9Onz5NZmZmnm3c3d357rvvCA4OJjo6Ot8xoqOjOXbsGD169KBHjx4EBQUV6hxyc3NZt24dWlpaxWrVblHUCYJQKKtWrcLExISVK1cyb948Hj9+TNu2bdUd66OKjIykRo0aaGpqsmbNGqpVq6b6Bfm5LQJTEtjb29OtWzeGDRsmio//6NGjB5GRkURHR9O4cWN8fHzQ09Ojbdu2r2zebm9vz5w5c4iOjqZbt27MmDEDZ2dnfvnlFxITEz/xGXyeqlSpwunTp/H09KRu3br4+/uLv9ufsUePHmFqaprnkZaWlm+7+Ph4LC0tVT0MTUxM+Pbbb1myZAl//fUXN27cQCaTsXPnzjztICRJUv08eNVFBEtLS8o3aEO2suB1GA2qNiU14jAZ98LQsrBDw8iiwO0ycpTkWlXm999/5/Lly3z11VdYWFgwduxYcnNzgRctg7788ktmzZqFk5MTNWrU4MKFC6pjBAUFUb16dapUqUK3bt24fv06V65ceeXnd+7cOUxNTdHV1WXcuHFs2LAhX3N5S0vLPJ/vq34+qoMo6gRBeK0TJ05gb2/PsGHD8PLyIikpie+//17dsT6qX3/9FXNzc6pUqcLt27cZOXIk2dnZXLhwgfLly6s7nvAefvvtNzIzMxk/fry6oxRJdnZ2bNq0ibS0NJYvX05UVBRVq1bFwcGBJUuWFFgw6Orq0qdPHy5cuMDGjRu5dOkS5cqVY8iQIYSHh6vhLD4vmpqaTJgwgRMnThAUFETz5s35559/1B1LUAMbGxuSkpLyPApqf2BhYUFcXNxrm6pbWloSGxub7/nY2Fjkcnm+Ysfb25uuXbuir6+PXR3PVx7X0LUZaTeOkxp+CAPXZq89n+cZ2bRp04Zdu3aRkJDAzp07CQgIYM2aNQCYmZkxb948rl+/zpMnT6hRowYdOnRQtaEICgqiR48eqs+mSZMmBAYGvvL93N3dSUpKIjExkXbt2nHy5Ml828TFxeX5fIvSTCVR1AmCUKD79+9Tt25dPDw8qFChArGxsaxZswZtbW11R/sokpOT+frrr9HU1GTMmDEYGxuzf/9+FAoFS5YsQUNDQ90RhQ9AW1ub2bNns3TpUpKSktQdp8iSy+UMHDiQqKgo7ty5Q+3atZk4cSJ6enp07NiRO3fu5NvnZRuPjRs3EhkZia2tLa1bt1ZN13zdF0jh/bm4uHD69Gm++uor6tati5+fnxi1EwpUv359dHV12bFjxyu3adGiBdu2bcv3/NatW6lfvz76+vpcvXoV+L9+inv27KFcuXLY2JV95XE1TazQNClN+p2L6Fds8Nqcxrpaqv+Wy+U0b96cZs2aERERkW9bS0tLxo0bx6NHj0hISODMmTNERUUxd+5crK2tsba2JjQ0lM2bN7/xZ5GhoSH+/v6sX7/+tSN7RY0o6gRByEOhUNC5c2ecnJxISkri4sWLHDlyJN9VuZLiwIEDODk5YWpqyv79+/H09CQpKYl79+7h6fnqq41C8TV27FhKlSqFl5eXuqMUC05OToSEhKBQKFi0aBFhYWE4OztTvnx5Vq5cWWDhYG1tzfTp07l37x7Dhg1j8eLFODk5MWfOHJ4+faqGs/g8aGhoMG7cOE6fPs3mzZtp2rRpgQW4ULxlZ2eTkZGherztBRMTExNmzpzJd999x44dO1S98fbt28eECRMA8PHx4cyZM0ydOpWEhARSUlLw9fUlKCiI+fPnA+Tp+2lgYMCRI0dYs2YNla2N0ZK/+j48i7ajKN1tDnLtV/fL1NWUk3HnHMHBwSQmJiJJEufPn+f48eO4u7sDMHHiRCIiIsjJySElJYXly5dToUIFLCwsCAwMpGXLlty4cYOwsDDCwsKIiIhAoVCwb9++N35GFhYWDBw4kJkzZxbqMy0KRFEnCALwYhGUH374ATMzM44cOUJwcDC3b9+mVq1a6o72weXm5jJq1Cj09fVp3bo1ycnJLFq0iJycHPbs2YOJiYm6Iwof2YYNGzh48CBhYWHqjlJsyOVyvL29uXv3LpGRkVSpUoURI0ZgYGBAly5dClyoQEtLCy8vL06dOsWff/7JnTt3qFSpkmq6pvBxVKpUiRMnTtChQwfq1avH0qVLxahdCdK2bVv09PRUjxkzZgAv7qkzNDTM8wgJCSnwGGPHjuWXX37hp59+olSpUpQtWxY/Pz86dOgAgLOzM6dOneLq1as4OjpSpkwZQkJCOHDgAA0bNizwmLVr16Z8+fJ0crN7bX4tszLolHF+7TYS0LZWBVavXo2zszPGxsb07NmT8ePHq6ZUKhQKOnbsiKmpKeXKleP+/fv8+eefZGRksHXrVkaMGKEapbO2tsbJyYlevXq9dgrmv40ePZq9e/dy7do11XOmpqZ5Pt9ffvmlUMf6FGTSy4mngiB8tjZv3szw4cNRKBRMmTKFH374Abm85F3zuXPnDl27duXSpUtIksQXX3zBhg0bcHV1VXc0QQ3q1atHYmIit2/fVneUYkupVLJ48WJ+/fVXHj58iLOzM1OnTqV3796v3Cc+Pp61a9fi7++PtbU1I0aMoFOnTujo6HzC5J+P27dv079/f+RyOWvXrsXZ+fVfpgXhQxi8/iIHI5/wLlWGTAaeVUqzomftDx+sBCt539oEQSi0ixcvUqFCBXr27KkasfLx8SlxBd3KlSuxtLSkQoUKhIeHM3DgQHJycggLCxMF3WcsJCSEO3fusGHDBnVHKbbkcjnff/89MTExhIWF4ejoyIABA9DX16d37948fvw43z4WFhZMmDCBO3fuMHnyZNatW4eDgwPTp0/n4cOHajiLkq1ixYocP36cb7/9lvr16/Prr7+qVg8UhI/lO48K6Gq+273oupoaDPeo8IETlXwl65ubIAiF8vjxY5o0aULdunUpVaoUd+/eZfPmzejqvnp+e3GTmppKx44d0dLSYujQoejp6bFz504yMjJYtWqVWPhEwM7Ojp49e/Ldd9+JqWkfQPXq1Tlw4ADp6elMmTKFQ4cOYWNjg6urK1u3bs23vYaGBu3bt+fQoUMcPXqU+Ph4XF1d8fLy4uTJk4iJRB+OhoYGo0aN4ty5c/z+++80adJEjFALH9UXZU2Z2rYyelpvV2roacmZ2rYy1e1MP1KykksUdYLwGcnKyqJv377Y2tpy//59Tp48ydmzZ7G3t1d3tA/m2LFjVKhQASMjI/788088PDx4+vQpMTExtGvXTt3xhCJm9erVZGdnl/g2HZ+SpqYm06ZN49GjR5w/fx4rKyu6d++OkZERAwcOJC4uLt8+Li4uLFu2jHv37tGwYUMGDBhAzZo1Wbt2LQqFQg1nUTJVqFCBY8eO4eXlRYMGDVi0aJEYtRM+mp7ujkxt64KelgZv6l8uk4GelgZT27rQ093xk+QracQ9dYLwmZg3bx4//vgjWlpaLFmyhH79+qk70geTm5vL5MmTWbZsGQqFAhMTEyZOnMjkyZPVHU0oBpYsWcL333/P06dPMTc3V3ecEikjI4PZs2ezcuVK4uLiqF69OjNnznzlhRalUsnBgwfx9fUlNDSUfv36MWzYMJycnD5x8pLrzp07DBgwgMzMTNatW0flypXVHUkooa49SML/2N8cvfUMGS8ai7+kqylHAppWKsVwjwpihO49iKJOEEq4P//8k4EDB5KYmMjo0aOZP39+iblnLjo6mq5du3Lu3DkkScLV1ZX169dTo0YNdUcTihk7OztcXFw4ePCguqOUeKdPn2bSpEmcOXMGQ0NDevTowZw5czA1LfjL3J07d/D39ycgIIBGjRoxYsQImjdvjuxNl/6FN1IqlaxYsQIfHx8mTJjA2LFjxdR04aOJT81k++UH3IxN4XlGNsa6WlQuY0SnWnZYGIqFkt6XKOoEoYS6fv06Xbp0ITIykv/973+sX78+T0+Z4iwoKIjx48fz9OlTtLW16datG6tWrSqxjdGFj+/YsWM0a9aMixcvlsg2HkWRQqFgxowZrF27lsTERNzc3JgzZw4tW7YscPu0tDQ2btyIr68vOTk5eHt707t3b4yMjD5x8pLn7t27DBgwAIVCwbp163BxcVF3JEEQ3lLJuFwvCIJKQkICnp6eVKtWDW1tbW7dusXOnTuLfUGXnp6Ol5cX2tra9OnTBw0NDYKDg8nMzCQgIEAUdMJ78fDwoF69enTp0kXdUT4b+vr6LFiwgPj4eA4ePIhcLsfT0xNzc3PGjh1Lampqnu0NDAwYPHgw165dY8WKFRw9ehQHBwdGjhzJrVu31HQWJYOTkxOHDh2ib9++NG7cmPnz5791Q2tBENRLFHWCUELk5OTw3XffYWVlRXh4OAcOHODKlSvFvifRuXPnqFy5Mvr6+mzfvp369esTGxvLo0eP8PLyUnc8oQQJCQnh7t27hW5MK3w4zZs3JzQ0lKSkJHr27Mm6deswMTGhQYMGnDhxIs+2MpmMJk2asH37dq5evYqRkRGNGzfG09OT3bt3i4U/3pFcLmfo0KFcuHCBgwcP0qBBA65fv67uWIIgFJIo6gShBPD398fU1JSAgAAWL17Mo0ePXjmFqbjw8fHB2NiY+vXr8+jRI6ZPn05ubi7Hjx/H2tpa3fGEEsjGxobevXszYsQI0eJATYyNjVm6dCmJiYns2rWLzMxMPDw8KFWqFJMnTyYjIyPP9mXLlmX27Nncv3+fHj168OOPP1KxYkUWLVpEYmKims6ieHN0dOTgwYMMHDgQDw8P5s6dK0btBKEYEPfUCUIxduTIEVWD30GDBuHr64umpqa6Y72zx48f4+XlxalTp1AqlVSqVImAgADc3d3VHU34TOTk5GBsbMzAgQNZunSpuuMIvJhSPmXKFDZt2kRaWhqNGjViwYIF1KtXL9+2kiRx/vx5fH192bNnD507d8bb25vq1aurIXnxd//+fQYNGkRCQgIBAQG4urqqO5IgCK8gRuoEoRi6e/cubm5utGjRgipVqvD06VOWL19ebAu6LVu2YGNjQ5kyZTh79iydO3dGoVBw8+ZNUdAJn5SmpiYLFizA39+/wH5qwqdnbm7OihUreP78OVu3biUxMZH69etjbW3Njz/+SFZWlmpbmUxGvXr12LBhAzdv3qRs2bK0adNGNV0zOztbjWdS/Dg4OHDgwAGGDh1K06ZNmT17tvgMBaGIEiN1glCMpKam0qtXL3bu3EmlSpXYtm1bsb1ympWVxaBBgwgODiYrKwsrKysWLlxI79691R1NEChbtiwVK1bk8OHD6o4iFODp06dMmDCB7du3k5GRQdOmTVm4cGGB7Uyys7P5448/8PX15d69ewwdOpRBgwZhZWWlhuTFV0xMDIMGDeLp06cEBASI0U9BKGLESJ0gFANKpZKJEydibm7OqVOnCAkJITIyslgWdGFhYbi6uqKjo8P69eupXbs29+/f58mTJ6KgE4qMzZs3c/ToUS5evKjuKEIBrKysCAgIIDU1lcDAQB48eECtWrWws7Nj3rx5ee4B09LSokuXLpw8eZJdu3Zx9+5dKlWqRO/evblw4YIaz6J4KVu2LPv27cPb25vmzZszc+ZMMWonCEWIGKkThCIuKCiIkSNHkpGRgY+PD5MnT1Z3pHcyd+5c5s2bx/PnzzEwMOC7775jzpw5otGtUGQ1bNiQ2NhY/vnnH3VHEQrhwYMHTJgwgT/++IOcnBxatmzJokWLCuy5lpCQwNq1a/H398fKyooRI0bQuXNndHREA+TCePDgAUOGDOHRo0esW7euwBFSQRA+LVHUCUIRdfbsWbp37050dDQ9evRgzZo1xa4X27Nnz+jWrRtHjx5FqVRSvnx51qxZg4eHh7qjCcIbPX78GFtbW1atWsWAAQPUHUcoJKVSybp165g3bx537tyhbNmyjB07lhEjRiCX552glJuby549e/D19SU8PJxBgwYxdOhQbG1t1ZS++JAkiaCgIMaPH8/w4cOZMmVKsfsdJQgliZh+KQhFzKNHj2jYsCENGzbEzs6OmJgYgoKCitUvyz///BM7OzusrKw4fvw47dq1IyUlhb///lsUdEKxYW1tTf/+/Rk9erRocVCMyOVyBgwYQFRUFHfv3qVOnTpMnDgRPT09OnbsyJ07d1Tbamho0K5dOw4ePMjRo0dJTEykWrVqquma4rr3q8lkMvr06cOVK1e4ePEiderU4cqVK+qOJQifLVHUCUIRkZGRQY8ePShbtiyPHz/m7NmznDx5EhsbG3VHK5Tc3FwGDx6Mrq4u7du3JyMjgxUrVqgWKTA0NFR3REF4a8uXL0epVOLt7a3uKMI7cHBwYPv27SgUChYvXkxYWBgVKlSgfPnyrFy5Mk+x7uLigp+fH/fu3ePLL79k4MCB1KxZkzVr1qBQKNR4FkWbra0tu3btYty4cXh6ejJ9+vQ8K5IKgvBpiOmXglAE/PTTT/z000/o6uri5+dHz5491R2p0CIiIujZsydXr15FJpPh5uZGcHAw5cuXV3c0Qfggli9fzogRI3j06JFYMbEEuHXrFuPGjePAgQPI5XLatWvHzz//jL29fZ7tlEolhw4dwtfXl7Nnz9KvXz+GDx+Ok5OTmpIXfbGxsQwdOpS7d++ybt063Nzc1B1JED4bYqROENQoJCQES0tLZs6cydixY0lISCg2Bd2vv/6Kubk51apV4/bt24wcOZLs7GwuXLggCjqhRBk2bBg2NjZ06dJF3VGED6BSpUrs2rWLjIwMZs+ezblz53B0dKRSpUoEBQWptpPL5bRq1Ypdu3YRGhqKJEnUqVNHNV1TXBPPr0yZMuzYsYOJEyfStm1bpk2bRmZmprpjCcJnQYzUCYIaXLt2jS5dunD79m06duxIYGBgsZiemJycTPfu3Tlw4AC5ubk4OjqyYsUKPD091R1NED6qs2fP0rBhQ86ePUu9evXUHUf4wCIiIhg3bhyHDx9GS0uLb775hp9//hlra+s826WlpbFp0yZ8fX3JysrC29ubPn36YGRkpKbkRdfjx48ZNmwYUVFRBAQEULt2bXVHEoQSTRR1gvAJxcXF0bVrV44cOUKtWrXYtm1bsZjKc+DAAYYMGcL9+/fR0NCgdevWbNy4ERMTE3VHE4RPpnHjxkRHR3Pv3j11RxE+kpy/1HSGAAAgAElEQVScHObPn8+yZct4/PgxLi4u+Pj45BullSSJkydP4uvry+HDh+nRowfe3t5UqlRJTcmLJkmS2LJlC6NHj6Zfv374+Pigq6ur7liCUCKJ6ZeC8Ank5OQwePBgrK2tuXXrFkeOHOHixYtFuqDLzc1lxIgR6Ovr07p1a54/f87ixYvJyclh9+7doqATPjtbt24lJiaGVatWqTuK8JFoamoydepUHj16xPnz5yldujTdu3fH0NCQgQMHEhcXB7xY+bFx48Zs27aNa9euYWJiQuPGjVXTNXNzc9V8JkWDTCaja9euXL16ldu3b1OrVi1CQ0PVHUsQSiQxUif8P/buMyyqq/v7+JdhQKoiIDYEFI2oQWwx0RBjb4kxdrBjF8WCXaJRbLH33gArxdhbJMaGYkcwYkdRsICIiEgdnhe5b57bv8YKHsr6XNe8YObMOb/NhcKatc/eIoctWLCA8ePHo1KpmD17NgMHDlQ60ltdv36dzp07c+HCBTIzM6lWrRqbN29+4wa+QhQ0AwYMYOPGjcTHx6NWq5WOIz6D/957t2rVKmJiYqhatSqenp789NNPrx3n7+/P4sWLiY2NxdXVlV69emFqaqpQ8twlMzMTf39/hgwZQo8ePZg8ebJ07YTIRtKpEyKHHDx4kJIlSzJy5Ej69OlDQkJCri7oli9fjrm5ORUrVuTy5cv069eP9PR0Ll68KAWdEP+xZMkSANnioADR09NjypQpPHr0iOPHj2NsbEybNm0oUqQIrq6uxMfHZx3XrVs3zpw5w9atW7l06RK2trb07duX0NBQhUehPC0tLTp27EhoaCgRERFUr16d4OBgpWMJkW9IUSdENrtx4wYODg60aNGC6tWrExsby6JFi1Cpct8/t8TERH7++Wd0dHRwdXVFX1+fnTt3Zu0xp62trXREIXIVtVrNvHnzWL16NQ8fPlQ6jvjMvv32W44fP87z58/p378/fn5+mJqaUqtWLQ4ePJh1XO3atdmwYQNXr17F2tqali1bZk3XTEtLU3AEyrOwsMDPzw9PT0/atGnDqFGjePnypdKxhMjzZPqlENkkISGBzp07s2/fPqpUqYKfn1+u7XAdOXKE3r17c/v2bVQqFQ0bNmTz5s0UK1ZM6WhC5Ak2NjZYWVlx7NgxpaMIhR0+fJjx48dz5swZTExM6NGjB1OmTHllReO0tDR27NjB4sWLuX37NgMGDKBfv34Fft/DmJgY3NzcuHjxIuvXr6du3bpKRxIiz8p9rQMh8hiNRoO7uztmZmacPXuWXbt2ERYWlusKuoyMDEaPHo2hoSENGjTgyZMn/Pbbb2RkZHDo0CEp6IT4AL6+vpw4cYKgoCClowiFNWzYkODgYOLj4+nWrRteXl4UKVKEOnXqZBX9Ojo6dOjQgWPHjrF3717u3r1LxYoVs6ZrFlTFihVj69atTJ8+nXbt2jFixAiSkpKUjiVEniSdOiE+wZo1a3B3dyctLQ1PT09GjRqldKTXREZG4uTkRHBwMJmZmXz55Zds2LCBatWqKR1NiDytfv36REREcPfuXaWjiFxm3759TJgwgYsXL2Jqakrfvn1fW84/Li6OdevWsXTpUooVK4abmxsdO3akUKFCCiZXTmxsLEOGDOHcuXOsW7cOR0dHpSMJkadIUSfERzhx4gRdunTh/v379OjRgxUrVqCrq6t0rFd4eXkxZswYHj9+jK6uLs7OzqxatSrX5RQir4qNjaVEiRIsXrw4Vy+CJJQTFxfH+PHj2bx5My9evMDR0ZFZs2a9soF9RkYGe/fuZcmSJVy6dIm+ffsyYMAALC0tFUyunO3btzNo0CA6duzI9OnTMTAwUDqSEHmCTL8U4gNERkby9ddfU69ePcqVK8eDBw9Yt25drimUXr58SadOndDV1cXFxQVtbW38/PxISUnBy8sr1+QUIj8wNzenX79+jBw5kvT0dKXjiFzI1NSUFStWkJCQQEBAAE+fPqVOnTqUKFGCSZMmkZqaira2Nj/99BN//PEHR48e5dmzZ1StWjVrumZB++y9TZs2hIWF8eTJExwcHOS+VSHek3TqhHgPSUlJ9OzZk23btmFra8vWrVupUaOG0rGyBAcH06NHD65fv45KpeK7775j69atlChRQuloQuRrGo2GIkWK4OTkxOrVq5WOI/KAx48fM2bMGPz9/UlOTqZ+/frMmTPnlSnxCQkJ+Pj4sGTJEgoVKsTgwYPp0qVLgeta7dq1i4EDB9KuXTtmzJiBoaGh0pGEyLWkUyfEW2g0GiZOnEjRokUJDAxk8+bNXL9+PdcUdBMmTMDY2Jg6derw4MEDJk2aREZGBkeOHJGCTojPQKVSsWDBAtatWydbHIj3YmFhwfr160lMTMTb25uoqChq1KhB6dKl+e2330hPT6dw4cIMHjyYK1euMGfOHHbv3o2VlRUjR47k9u3bSg/hs/npp58ICwvL6l4eOXJE6UhC5FrSqRPiX/j6+jJw4EBevHjBuHHjmDhxYq7Yay4qKgpnZ2eCgoLQaDTY2dnh7e1N7dq1lY4mRIFVrlw5SpUqxYkTJ5SOIvKg+/fvM3r0aLZv3056ejpNmjRh9uzZVKlSJeuY27dvs3z5ctavX0+dOnVwc3OjcePGueL30uewZ88eBgwYwM8//8xvv/32ypYRQgjp1AnxmnPnzlGhQgU6d+5M06ZNefr0KZMmTVL8F6evry8lS5bE0tKS06dP06lTJ5KSkggPD5eCTgiF+fr6cvLkSSnqxEextLTMWkxlxYoV3Lx5E3t7e6ytrVmwYAEajYZy5coxe/ZsIiMjad26NaNGjaJy5cosXryYhIQEpYeQ43788UfCwsJ48eIFVatW5fDhw0pHEiJXkU6dEP/x+PFjOnbsyLFjx6hduzZ+fn5YWVkpmik1NZW+ffuydetWUlNTsbCwYPbs2XTv3l3RXEKI1zVs2JAbN25w7949paOIfODu3buMGDGCPXv2kJmZSYsWLZg7dy62trYAZGZmcvz4cZYsWUJgYCCdO3dm8ODB2NnZKZw85+3bt4/+/fvTqlUrZs6cibGxsdKRhFCcdOpEgZeamoqLiwslS5YkIiKCY8eOERwcrGhBd/78eSpXrkyhQoXYsGEDtWrV4u7duzx69EgKOiFyKT8/Px48eMCSJUuUjiLyAWtrawICAkhKSmL+/PlcunSJ8uXLY2try/Lly8nMzKRevXr4+fkRGhpK0aJFqV+/Pk2bNmXXrl1kZGQoPYQc07JlS8LCwkhJScHe3p7AwEClIwmhOOnUiQJt1qxZ/Prrr+jo6DB//nx69+6taJ6pU6cye/ZsEhISMDQ0ZNCgQUyfPh1tbW1Fcwkh3s+QIUNYs2YNCQkJqNVqpeOIfObatWuMHDmSgwcPolKpaNWqFXPnzs36EDIlJQU/Pz+WLFnC48ePcXV1pXfv3piamiqcPOccOHCAfv360aJFC2bPnk3hwoWVjiSEIqRTJwqkPXv2ULx4cTw8PHB1dSU+Pl6xgi4mJobGjRujra3NhAkTsLCw4OjRoyQmJjJz5kwp6ITIQxYsWIBaraZv375KRxH5UMWKFdm9ezfJyclMmzaN06dPY2NjQ8WKFfH29kZHR4du3bpx+vRpfH19CQsLw9bWlr59+3Lp0iWl4+eI5s2bExYWhkajwd7enj/++EPpSEIoQjp1okD5+++/6dSpE1euXOGHH35g06ZNin2qt337dtzc3IiKikKtVvPTTz/h7e0tK3oJkcd5e3vTq1cv7t27R6lSpZSOI/K5y5cvM3LkSP788090dHRo27Yts2bNyvrZe/ToEatXr2bFihWUK1eOwYMH06ZNG3R0dBROnv3++OMP+vbtS9OmTZkzZw5FihRROpIQn4106kSBEB8fT4sWLbC3t0etVnPt2jV279792Qu6jIwM+vbti56eHm3btiUlJYVVq1aRlpbGtm3bpKATIh/o0aMHNjY2tGvXTukoogD48ssvOXDgAC9fvsTDw4PDhw9jaWlJlSpV8PX1pXjx4vzyyy9ERETg5ubG0qVLKVu2LFOmTOHRo0dKx89WTZs2JSwsDG1tbezt7Tlw4IDSkYT4bKSoE/maRqPBzc0Nc3NzLl26xP79+wkJCaFChQqfNcfly5dxcHBArVazdu1aqlatys2bN4mJiZFpWkLkQ/7+/pw+fZpjx44pHUUUEGq1Gg8PD6Kjozlz5gwlSpSgS5cuGBkZ0atXL549e0aHDh04evQoe/fu5d69e9jZ2WVN18wvChcuzIoVK1i3bh0DBgygd+/exMfHKx1LiBwnRZ3It5YvX07hwoVZu3Ytc+fOJTo6mmbNmn3WDPPmzaNo0aLY29tz48YNhg4dSlpaGmfOnMlalloIkf/UqFGDRo0a0blzZ6WjiAKoVq1a/PnnnyQlJeHu7s7evXuxsLDAwcGBnTt34uDgwKpVq7h16xbVqlXD2dmZ2rVr4+PjQ0pKitLxs0Xjxo0JCwujUKFC2Nvbs2/fPqUjCZGj5J46ke8cPnyY7t278/DhQ/r06cOSJUs+6yp0z549w8nJiUOHDpGRkYGNjQ2rVq2iSZMmny2DEEJ5cXFxWFhYMHfuXIYOHap0HFHABQUFMXbsWE6ePImRkRFdunRh+vTpmJiYkJGRwb59+1iyZAkhISH06dOHgQMHYmlpqXTsbHH48GH69OlDvXr1mD9/PkWLFlU6khDZTjp1It+IiIigVq1aNG7cmEqVKvHw4UNWrFjx2Qq6gwcPYm1tjYmJCYcOHaJFixbEx8cTEREhBZ0QBZCpqSlubm6MGzeO1NRUpeOIAu7bb7/l+PHjPH/+nP79++Pn54epqSm1atUiMDCQVq1acfDgQY4ePcrz58+pWrUq7du35+jRo+T1z/8bNmxIaGgoRkZG2Nvbs2fPHqUjCZHtpKgTeV5iYiJt27bF1taWFy9eEBISwqFDhzA3N8/xa2dkZDB48GD09fVp3rw5z58/Z/78+aSnp7N7925ZeUuIAm7u3Lno6OjIvbMi1zAwMGDWrFnExsYSGBiIWq2mRYsWmJqaMnz4cCwtLVm0aBF37tyhfv369O/fP2u65osXL5SO/9GMjIxYsmQJGzduZOjQoXTv3p24uDilYwmRbaSoE3mWRqNh3LhxmJqacuzYMbZt20Z4eDhVq1bN8Wtfv36dmjVroqOjw9KlS7Gzs+PKlSvExcUxbNiwHL++ECJvUKlULF26lI0bN3L//n2l4wjxioYNGxIcHEx8fDzdunXDy8uLIkWKUKdOHS5cuMDgwYMJDw9n7ty57N27F2tra0aMGMHt27eVjv7R6tevT2hoKCYmJtjb27Nr1y6lIwmRLaSoE3nSxo0bMTU1Zf78+UycOJHY2FjatGmT49ddvnw55ubmVKxYkStXrtCvXz/S09O5ePEilSpVyvHrCyHynq5du2JraytbHIhcq3DhwixcuJCnT5+ye/duUlNTadiwIebm5owfP57vvvuOnTt3cvbsWVQqFbVr186arqnRaJSO/8EMDQ1ZtGgRW7Zswd3dna5du/LkyROlYwnxSaSoE3nK6dOnsbW1pUePHvz444/Ex8fzyy+/5Og1ExMT+fnnn9HR0cHV1RUDAwN2797Ny5cvWbFiBdra2jl6fSFE3ufn58fZs2c5fPiw0lGEeKuWLVty/vx5YmNjad++PUuXLsXQ0JB69erx8OFDZs+eTWRkJK1bt2b06NFUqlSJRYsWkZCQoHT0D1avXj1CQ0MpVqwY9vb27NixQ+lIQnw0Wf1S5AnR0dF07NiRkydPUrduXfz8/ChVqlSOXvPIkSP07t2b27dvo62tTaNGjdiyZQumpqY5el0hRP7UrFkzwsLCiI6OVjqKEB9k+/bt/Prrr1y+fJlixYoxcOBAxo8fj46ODidOnGDx4sUEBgbSuXNnBg0alCdnrpw4cYJevXpRq1YtFi1a9FnuyxciO0mnTuRqycnJdO3alTJlyhAdHc2pU6c4ceJEjhV0GRkZjBw5EkNDQxo0aMCTJ0/47bffSE9P5+DBg1LQCSE+mq+vLzExMcybN0/pKEJ8kDZt2hAaGsrDhw9p2bIlc+bMwcDAgCZNmmBsbIyfnx9hYWEULVqUBg0a0KRJE3bu3ElGRobS0d+bo6MjISEhlCxZEnt7e7Zt26Z0JCE+iHTqRK41bdo0pkyZgp6eHosWLaJ79+45dq2IiAg6d+7M6dOnyczM5Msvv2TTpk2fZdEVIUTBMWLECJYtW8azZ8/Q1dVVOo4QH23Lli1MmTKFq1evUrJkSQYPHsyoUaPIyMjA39+fJUuW8OjRI1xdXenVqxdmZmZKR35vJ0+exMXFhWrVqrFkyRKKFSumdCQh3kk6dSLX2b59O+bm5kyePJnhw4cTFxeXYwWdl5cXFhYWlCtXjosXL9KzZ09SUlIICwuTgk4Ike1mz55NoUKF6NWrl9JRhPgkzs7OXLlyhfv371O/fn2mTJmCvr4+P//8M9WrVyc4ODirg1e+fHn69OlDSEiI0rHfS926dQkJCcHKyoqqVavi7++vdCQh3kmKOpFrhIaGUqlSJdq1a0e9evWIi4tjxowZqFTZ+2P68uVLOnTogK6uLi4uLujo6ODn50dycjLr1q2TT8+FEDlGpVKxfPlytmzZQmRkpNJxhPhkpUqVYtOmTSQmJrJq1Spu3bqFvb09VlZWBAUF4eXlxbVr1yhbtiw//vgj3333Hb6+vqSlpSkd/a309fWZPXs227dvZ+LEiXTo0IHHjx8rHUuIfyVFnVBcXFwcTZo0oVq1ahgaGnLr1i1+//13jIyMsvU6QUFBfPHFFxgYGPD7779Tt25dHjx4QFRUFB06dMjWawkhxL9xdnamfPnyssWByFdUKhUuLi5cv36diIgIateuzdixY9HX16dfv344OTlx584dhg4dyrJly7CxsWHKlCk8fPhQ6ehv9c0333Dx4kVsbW2pWrUqvr6+yJ1LIjeSok4oJj09nQEDBmBhYUF4eDiBgYGcO3eOsmXLZut1JkyYgLGxMY6Ojjx69AhPT08yMjI4cuQIJUqUyNZrCSHE+9i2bRvnz5/n0KFDSkcRIttZW1sTEBBAUlIS8+fPJzQ0lPLly/PFF18QExPDX3/9xf79+7l37x6VKlWia9euBAcH59piSU9Pj99++41du3YxefJk2rdvz6NHj5SOJcQrZKEUoYjFixczduxYtLS0mDVrFq6urtl6/qioKJydnQkKCkKj0WBnZ4e3tze1a9fO1usIIcTHatGiBSEhITx48EDpKELkuBs3bjBy5Ej279+PSqWiVatWzJ07F2NjY9atW8fSpUsxMzPDzc2Njh07oqenp3TkN0pOTsbT05O1a9eyYMECnJyc0NLSUjqWENKpE5/XoUOHKFWqFMOHD6dXr17Ex8dna0Hn6+tLyZIlsbS05PTp03Tq1ImkpCTCw8OloBNC5Cq+vr7ExsYya9YspaMIkeMqVKjAzp07SU5OZvr06Zw+fRobGxu+/vprzM3NuXbtGr/++iubNm3C2toaDw8P7t27p3Ts1+jp6TF9+nT27NnDtGnTaNOmjXwwI3IFKerEZ3Hjxg2qVatGs2bNcHBwIDY2lsWLF6NWqz/53KmpqXTr1o1ChQrh5OREZmYmGzZsICUlhc2bN6Ovr58NIxBCiOxVuHBh3N3dmThxIsnJyUrHEeKzUKlUuLu7ExkZSWhoKOXKlaNPnz4UKVKELVu2sH79eo4dO8bz589xcHCgffv2HD16NNdNzfzqq684f/48X375JdWqVWPjxo25LqMoWGT6pchRCQkJdOvWjd27d1O5cmV8fX2pUqVKtpz7/PnzdOvWjfDwcLS0tKhbty6bN2/GysoqW84vhBA5TaPRYGZmRvPmzdmyZYvScYRQRHp6OjNnzmTp0qU8fPgQOzs7fv31V1q2bImPjw9LlixBR0eHwYMH06VLFwwNDZWO/Irz58/j4uKCjY0NK1asoFSpUkpHEgWQdOpEjtBoNIwYMQIzMzOCg4PZtWsXly9fzpaCburUqRQpUoRatWoRGRnJ2LFjSUtL48SJE1LQCSHyFJVKxcqVK/H19eXu3btKxxFCEWq1Gg8PD6Kjozl37hwlS5akS5culCxZkvPnz3Ps2DHmzZvHvn37sLa2ZsSIEdy6dUvp2Flq1qzJuXPnqFatGtWqVcPHx0e6duKzk06dyHZr165l+PDhpKWl4enpyahRoz75nDExMTg5OXHkyBE0Gg3ly5dn7dq11KtXLxsSCyGEsipVqoSBgQHnz59XOooQuUJqaipTp05l5cqVxMTEYG9vj6enJw4ODixbtoz169fz9ddf4+bmRpMmTbJ9T9uPdfHiRVxcXLC0tGTlypWULl1a6UiigMgd/wJEvhAUFISNjQ39+vWjXbt2PHv27JMLuu3bt2NpaYmFhQXHjh2jTZs2PH/+nBs3bkhBJ4TINwICArh48SIHDx5UOooQuYKuri6enp48evSI48ePU7hwYdq2bYuDgwPPnz/n0qVLtGnThjFjxlCpUiUWLVrEs2fPlI5N9erVOXPmDF999RXVq1fHy8tLunbis5BOnfhkkZGRdOzYkTNnzlCvXj22bt36Sfu/ZWRk0K9fPzZt2kRKSgrm5uZMnz6dvn37ZmNqIYTIXX788UfOnj0r+18J8S+SkpKYPHkya9euJS4ujho1ajB16lSMjIxYvHgxhw4dwtnZmUGDBlG5cmWl43Lp0iV69uxJyZIlWbVqFZaWlkpHEvmYdOrER0tOTsbZ2ZmyZcvy5MkTzpw580kbel++fJmqVauiVqtZv349Dg4O3L59m5iYGCnohBD53ubNm3n69CkzZsxQOooQuZKBgQEzZ84kNjaWwMBA1Go1LVu2pFWrVpQqVYpTp05hZmZGw4YNady4MTt37iQjI0OxvA4ODpw5c4Y6depQvXp11q5dK107kWOkUyc+mEajwdPTkxkzZmBoaMjy5cvp1KnTR59v3rx5TJkyhfj4ePT19enXrx9z585FW1s7G1MLIUTuN378eObNm0d8fHyu3XxZiNwkISGBCRMm4OPjQ0JCArVr12by5MnExMSwePFiHj58iKurK71798bMzEyxnKGhobi4uGBubs7q1atlYTeR7aRTJz6In58f5ubmzJgxgzFjxhAbG/tRBV1cXBwtWrRArVYzYsQITExM+OOPP0hKSmLBggVS0AkhCqSpU6diYGBA9+7dlY4iRJ5QuHBhFi5cyNOnT9mzZw9paWk0b96coUOH8v3337Nhwwb+/vtvypcvT+/evQkJCVEkZ9WqVQkODub777+nZs2arF69Wrp2IltJp068lwsXLuDk5MTNmzdp3749Xl5eGBgYfPB59u3bx8CBA4mMjEStVtO8eXM2btxIkSJFciC1EELkPdu2baNDhw7cuHEDW1tbpeMIkefEx8czbtw4Nm3axIsXL/j2228ZO3YsISEhLF++HGtra9zc3Gjbti06OjqfPd/ly5dxcXGhaNGirF69Gmtr68+eQeQ/0qkTb/X48WMaNGhArVq1KFq0KHfu3MHPz++DCrqMjAwGDx6Mvr4+P/zwA4mJiSxatIi0tDR2794tBZ0QQvyPdu3aUalSJdq3b690FCHyJBMTE5YvX05CQgIBAQHEx8fz448/snDhQnr06MHgwYNZvnw5NjY2eHp68vDhw8+a78svv+TUqVM0bNiQWrVqsXLlSunaiU8mnTrxRqmpqQwYMABvb28sLS3ZtGkTjo6OH3SO69ev4+zszMWLF8nMzKR69eps2rSJSpUq5VBqIYTIH8LDw6lSpQp79uyhZcuWSscRIs97/PgxY8aMwd/fn+TkZOrXr0/fvn05fPgwfn5+tGzZEjc3N77++mu0tLQ+W64rV67g4uKCkZERa9euxcbG5rNdW+Qv0qkTr5k7dy4mJib4+/uzcuVK7t69+0EF3fLlyzEzM6NixYpcuXKFAQMGkJ6ezoULF6SgE0KI91CpUiVatWpFz549lY4iRL5gYWHB+vXrSUxMZMOGDURHR+Ps7Mzu3bsZPHgwDg4OdOnSha+++gpvb2+Sk5M/S67KlSsTFBREs2bN+Oqrr1i+fDkajeazXFvkL9KpE1n27duHi4sLcXFxuLm5MWfOHFSq96v7ExMT6dKlC/v27SM9PZ0yZcqwbNkyfvzxxxxOLYQQ+VNiYiKmpqb88ssvTJw4Uek4QuQ70dHRjBo1iu3bt5OWlkajRo346aef2LVrFxcuXKBPnz4MHDiQMmXKfJY84eHhuLi4oK+vz9q1aylXrtxnua7IH6RTJwgPD6dq1ar8+OOP1K5dmydPnjBv3rz3KugOHz5MuXLlMDY2Zu/evTRq1IgnT54QGRkpBZ0QQnwCIyMjxowZw7Rp00hKSlI6jhD5TqlSpdi0aROJiYmsWrWK27dvM2jQIK5cuULv3r15/vw5Dg4OtGvXjiNHjuT4fW+VKlUiKCiIH374gdq1a7NkyRLp2on3Jp26Aiw+Pp7OnTtz4MAB7O3t8fPzo2LFiu98X0ZGBqNGjWLlypUkJSVhYmLCuHHjGD169GdILYQQBYdGo6FYsWI0aNCAgIAApeMIke/dvXuXESNGsGfPHjIzM2ncuDG1atXC398fbW1tBg8eTNeuXTE0NMzRHNeuXaNXr16o1WrWrVsnK+GKd5JOXQGk0WgYMmQIxYoV4+LFi+zfv59Lly69s6CLiIigTp066OjoMH/+fGxtbbl06RJPnz6Vgk4IIXKASqVi3bp1/P7779y4cUPpOELke9bW1gQEBJCUlMT8+fMJDw/H09OT5ORkGjZsyN69e7GyssLd3Z1bt27lWI6KFSty7Ngxfv75Z77++msWLVokXTvxVtKpK2BWrVrFiBEjyMjIYPr06QwbNuyd7/Hy8mL06NHExMRQqFAhunTpwvLly9HV1f0MiYUQQtjb26OlpUVoaKjSUYQocG7cuAhzNN8AACAASURBVMHIkSPZv38/KpWKhg0bYmVlxbZt26hduzZubm40bdr0vdch+FDXr1+nV69eqFQq1q5dS4UKFXLkOiJvk05dAXHkyBHKlCmDq6srzs7OJCQkvLWge/nyJR06dEBXVxcXFxd0dHQICAggOTmZtWvXSkEnhBCfUUBAAJcvX2bXrl1KRxGiwKlQoQI7d+4kOTmZ6dOnc/nyZVatWoWJiQkWFhaMGTMGOzs7Fi5cyLNnz7L9+l988QVHjx6lXbt21KlThwULFpCRkZHt1xF5m3Tq8rm7d+/Srl07Lly4QMOGDdm6dSvm5ub/enxQUBAuLi7cuHEDlUrF999/z+bNmylRosRnTC2EEOL/atu2LceOHePx48c51hEQQryfv//+m5EjRxIYGIiOjg6Ojo7o6elx/PhxnJ2dGTx4MJUrV8726968eZNevXqh0WhYt24dX3zxRbZfQ+RN8lshn0pKSqJ9+/aULVuWFy9eEBISQmBg4BsLuoyMDDw8PDA2NsbR0ZFHjx7h6elJRkYGhw8floJOCCFygY0bN/L8+XM8PT2VjiJEgVelShX279/Py5cv8fDw4PLly+zZs4dixYrx8OFDGjVqRKNGjdixY0e2dtXKly/PkSNH6NSpE3Xr1mXu3LnStROAdOryHY1Gwy+//MKcOXMoXLgwK1eupF27dm88NioqCicnJ06ePIlGo8HOzg5vb29q1679mVMLIYR4H5MnT2batGnEx8djYGCgdBwhxP+4cOECo0aN4ujRo+jp6VGzZk0SExOJjY3F1dWVPn36YGZmlm3Xu3XrFr179yYlJYX169djZ2eXbecWeY906vKRTZs2YWZmxrx585g4cSKxsbFvLOj+O53S0tKSM2fO4OTkREpKCuHh4VLQCSFELjZhwgQKFy5Mly5dlI4ihPg/atSowZ9//klSUhLu7u5cvXqVixcvoqury4EDByhfvjy9evXi4sWL2XI9W1tbDh8+TLdu3XB0dGT27NnStSvApFOXD5w9exYnJyfu3LmDs7Mza9asQU9P75VjUlNTcXFxISAggNTUVIoXL86cOXPo2rWrQqmFEEJ8jF27dvHzzz8THh7+XnuLCiGUc+rUKcaMGUNQUBAGBgZUrlyZqKgorK2tcXNzo127dujo6HzydSIiIujduzdJSUmsX7+eSpUqZUN6kZdIUZeHPXz4kA4dOhAUFESdOnXw9fXF0tLylWPOnz9P165duXr1KlpaWnz77bds3bqV0qVLK5RaCCHEp3JwcECj0RAWFqZ0FCHEe0hKSmLy5MmsXbuWuLg4ypYti6GhIbGxsfTv35/+/ft/8hoGGo2GVatWMWHCBEaOHMmIESNQq9XZNAKR28n0yzwoNTWVHj16ULp0aaKioggKCiIoKOiVgm7q1KkUKVKEWrVqcf/+fcaPH09aWhrHjx+Xgk4IIfK4gIAA/v77b7Zv3650FCHEezAwMGDmzJnExsYSGBhIsWLFuHz5MomJiQQEBFCxYkU6d+7MqVOn+Nh+i0qlYsCAAZw9e5ZDhw5Rt25d/v7772weicitpFOXx8yYMQNPT090dXVZvHgx3bt3z3otJiYGJycnjhw5gkajoUKFCqxfv55vv/1WwcRCCCFyQvv27fnrr7+IiYmRLQ6EyIMSExPx8PDAx8eHZ8+eUaZMGdLT0ylRogRubm44OTm9djvN+8rMzGT16tV4eHjg7u7OqFGjpGuXz0lRl0fs3LmTPn368OzZM4YPH86MGTOyfolv374dNzc3oqKiUKvVtG7dmg0bNqCvr69waiGEEDklKSmJokWLMnr0aKZMmaJ0HCHEJ9i/fz8TJkzgwoULGBkZYWZmxvPnz+nbty8DBw7Eysrqo84bGRlJ3759efLkCevXr8fe3j6bk4vcQj7ay+UuX75M5cqVadOmDd999x1xcXHMnDmT9PR0evfujZ6eHm3btiUlJYU1a9aQlpZGQECAFHRCCJHPGRgYMGHCBGbOnEliYqLScYQQn6BFixacO3eOuLg4unTpwpMnT3j69Ck+Pj58+eWXtG3blr/++uuDp2ZaWVlx4MABBg4cSMOGDZk6dSppaWk5NAqhJOnU5VJxcXE4OTkRGBhI9erV8fPzw9bWltDQULp27UpYWBhaWlp89dVXbN26lbJlyyodWQghhAIsLCyoU6cOO3fuVDqKECIbbd++nV9//ZXLly9jZGSErq4uFhYWDBkyhK5du2JkZPRB57t37x79+vXj0aNHeHl5UbVq1RxKLpQgnbpcJj09nYEDB2JhYcGVK1c4dOgQ58+fZ8eOHRQtWhQHBwdu3brF8OHDSUtL4/Tp01LQCSFEAebl5cXu3bsJDw9XOooQIhu1adOG0NBQHj58SLt27UhOTubatWtMmDCB0qVLM3z4cG7evPne5ytTpgz79u3Dzc2Nxo0b4+npKV27fEQ6ddkoNjGFgPP3ufowgYTkdArrqbErUZgONS0xMyr02vFJSUmUKVOGqVOnMnDgQJYsWcKYMWPQ0tJi1qxZODk50blzZwIDA8nIyKBs2bKsWbOGhg0bKjA6IYQQuVX16tVJSUnhypUrSkcRQuSgLVu2MGXKFMLDwzE0NCQzM5N69eoxZMgQmjVr9t6LJt2/f5/+/fsTHR3N+vXrqVatWg4nFzmtwBV1gYGBhISEMHz4cLS1tbPlnJfuxbP0yE2OXo8BICVdk/WanlpFJlC/YjFcvy+PQxmTrNccHR0JCgoCwNzcnKdPn9K/f3+aN2/OoEGDuHfvHmq1mpYtW+Lj40ORIkWyJa8QQoj8JSIiAltbW/z8/Gjfvr3ScYQQOSw6OppRo0bx+++/k5qaiqGhISYmJri7u+Pi4vJefzNmZmbi4+PDqFGjcHV1Zfz48ejq6n6G9CInFKiiLiQkhOnTp9O6dWtCQkKYPXv2J59zY/Adpu27SnJ6Bm/7TmppgZ5aG4+WdnT9xoaNGzfSrVu3rNdVKhU9evRgy5YtJCcnY2pqyuTJkxk8ePAnZxRCCJH/dezYkcDAQGJjY2WLAyEKCI1Gg7e3NzNmzODGjRvo6+uTmZlJjx49cHNzo0qVKu88R1RUFAMGDCAyMhIvLy+qV6/+GZKL7Fagirrs9k9BF87LNM27D/4PfR0Vbt+VYXCzqm9cwahGjRps2bKFL774IjujCiGEyOeSk5OzPqmfPn260nGEEJ/Z3bt3GTFiBLt37yY9PR0dHR2qV6/O6NGjadWq1Vv3qcvMzGTTpk2MGDGCfv368csvv1Co0Ou3DoncK898lGdjY4Ouri6xsbGvPF+tWjW0tLS4c+fOK89PmjQJLS0tzpw588rzXl5eODo6AmBkZJT1UKlU6OvrZ329adMmJk2ahI6ODkZGRpiYmFC3bl1OnToF/DPlcvwyP65O+YHIue1feaREvflm9eR7fxOxzh23Vl+TidZrr1tYWHD+/Hm++OKLDxrvyZMnadiwIcbGxhQpUoRWrVq9cl/FkSNH0NLSYtCgQa+cy9HRES8vrzdmFUIIkbfo6ekxadIkZs+eTUJCgtJxhBCfmbW1NQEBAbx8+ZLFixdTsmRJgoODcXZ2plixYsyYMeO1vyv/S0tLi65duxISEkJoaCi1atXi3Llzn3kE4lPkmaIOoGzZsmzZsiXr67CwMF6+fPnacZmZmWzYsAFTU1O8vb3/9XyJiYlZDysrK3bv3p31dZcuXQDo1KkTiYmJxMbG0qBBAzp06ADA0iM3Sc3IQNvYFKsRAa88CpWu9Nq1NClJPA7wxLhmK8oM24J5qxGvHRMXF/fB4z116hRNmzaldevWREdHExERgYODA99++y23b9/OOs7Q0BAfH5/Xil8hhBD5x9ixYzE1NcXZ2VnpKEIIhahUKlxdXYmIiOD69es0a9aMxMREfvnlF0qVKkWHDh24cOHCG99bsmRJduzYwbhx4/jhhx/w8PAgJSXlM49AfIw8VdR169YNHx+frK+9vb3p3r37a8cdP36c6OhoFi5cyNatW0lNTf3ka6vVarp06UJUVBRXI+7/syjKB0xcTYuLAsCw8vegpY1p1QbEPk8mMzOTlJQUpkyZQs2aNV95z/uMd/To0XTv3p2hQ4dibGyMqakpU6dO5ZtvvmHSpElZx5mYmNCzZ08mT5784YMXQgiRZ/j4+LB//34uX76sdBQhhMIqVKjAzp07SUlJYfbs2VhYWBAQEMDXX39N+fLl2bRp02t/J2tpadG5c2cuXbrElStXqFmzJmfPnlVoBOJ95ami7ptvviEhIYHw8HAyMjLw9fWla9eurx3n7e1Nq1at6NSpEwB79uz55Gunpqbi4+ODmZkZf95+8cHv1zEtjZaWitg983h56xyal88JuHAfAF1dXSwtLV+b6/yu8SYlJXHy5Mms7uH/6tixI4cOHXrlOQ8PD7Zt28a1a9c+OL8QQoi8oVmzZtSoUeONvxuEEAWTSqXC3d2d+/fvc/nyZRo1akRERATdu3enSJEijBgxggcPHrzynhIlSvD777/zyy+/0KpVK8aNG0dycrJCIxDvkqeKOvj/3atDhw5hZ2dH6dKlX3k9KSkJf39/OnfujI6ODu3bt3/rFMx38fPzw8TEBH19fVavXk1AQAA3YpOyti3IeB5H5PxOrzw0qa//wKsKGVCi6yxAiycHFnNznjOz3Hvx6NGjjx5vXFwcGo2GkiVLvva+kiVLvjZvukSJEgwYMICJEyd+xHdCCCFEXrFt2zauX7+Or6+v0lGEELlMlSpVOHDgACkpKUydOhVjY2PmzZuHpaUldevW5eTJk1mL+WlpaeHk5MSlS5e4ceMGNWrU4PTp01nnev78uRR6uUSeLOo2b96Ml5fXG6debt++PWtvN4AuXbqwf/9+YmJiPup6HTt2JD4+nkePHvHll19y/vx5EpLTs17XNjbFarjvKw+Vrt4bz6VjXgbzH4djOcibUn2W8uzJY4YNG/bR4y1atCgqleq1T1YAHjx4gLm5+WvPjxkzhoMHD3Lp0qX3Gb4QQog8yNramk6dOtG/f380mvdfoVkIUXCo1WrGjRvH48ePOX/+PI6OjgQHB+Po6Ii5uTkLFy7MWsuhePHiBAQEMHnyZFq3bs3o0aN58eIFjo6OODk5KTwSAXmwqLO2tqZs2bLs27ePtm3bvva6t7d31sInJUqUoEOHDqSlpb2y4MjHMDc3Z+XKlUyaNAntl08/6VwAOmZlsK/f+p33PLxtvIaGhtSpUwd/f//X3ufn50ejRo1ee97MzIxhw4YxYcKETxuAEEKIXG3dunWkpKQwduxYpaMIIXK5GjVqcPToUZKTk/Hw8ECj0TBs2DCMjY1p27YtkZGRAHTo0IGwsDDu3r2LjY0N165d49ChQ5w8efKN541NTGHF0VsM871IL++zDPO9yIqjt3iSKIuvZLd/37AiF1u7di1Pnz7F0NCQ9PT/3zWLiorizz//ZP/+/VStWjXr+QULFuDt7c2QIUM+6bp2dnY0a9aM239uoZBdRz6k2Zz25B4vb57FoFI91IXN0X7xhMhzh2j4zTfvfO+/jRfgt99+o1mzZtjZ2eHi4kJ6ejpz587l1KlT/3pTq7u7O+XKlXvjPnlCCCHyBz09PTw9PRk/fjzjx4/HxMRE6UhCiFxOV1eXKVOmMGXKFE6dOsWQIUPYsWMH27dvx8bGhoULF9KqVSssLS1fuc2nV69eXLlyBZXqn37RpXvxLD1y85+FBSHrtiUAPfVD5gdep37FYrh+Xx6HMvJ/U3bIc506AFtbW2rVqvXa8xs2bKBatWo0bdqUEiVKZD2GDBlCaGhotqwENmrUKIL3+ZH+Ih74zz11/2efuhdXg157n5auPikPrvPQx53Iue246+WO41fVmTt37kePF/7Za+7gwYP8/vvvlCxZEmtray5evMiJEyeoUKHCG99TuHBhRo8e/doWCkIIIfKXUaNGYW5uLlscCCE+WJ06dTh79iyJiYkMGzaMmJgYWrdujYGBAfPmzXvl2GvXrmWtsL4x+A5Oq4M5FP6IlHTNKwUdQPJ/nvvjyiOcVgezMfjO5xpSvqaVKe2aj9JvwzkOhT/iY757WlrQrHJxVnR9c6EmhBBCZJdDhw7RrFkzQkJCXpnFIoTIP2xsbFizZg2NGzd+4+sRERHY2toyYMAAli1b9q/nuXPnDmXLlqV69eqv7GUXGxtLqVKlMDU1RV9f/7V9j1UqFSqVivqtnblf2ZmY83/wZP8itNS6oKWFukhxTL7vjkH52gCkxz8iakVvrEbvxKCQDh4tK9H1GxsAevbsiaWlJVOnTn0tV1paWtZq8Zs3b2bevHlcvXoVY2NjqlWrhoeHB46OjkyaNImbN2+ycePGV3JqaWlx48YNypcvz6RJk5g2bRqFChXKel2tVhMfH//ub3gulCc7dbnBoPrl0VNrf9R79dTauNYvn82JhBBCiNc1adKEmjVryhYHQhRgPj4+FC1alK1bt77XZuIvXrx4ZYbb5s2bKVu2LHp6ehgaGr52fGZmJudux3C/cmdepv3TmStU2g6rEQGUGe6LcY0fiN05C01y4mvvfZmmYdq+q4Tef/9iat68eQwbNozx48fz6NEjIiMjcXV1ZefOne99DoBOnTqRmJiY9cirBR1IUffRHMqY4NHSDn2dD/sW6uuo8GhpR1VLmT8shBDi89i2bRs3b9785EXDhBB5k4+PD1OnTkVHR4fdu3e/8/hu3bq9siWYj49P1irshoaG6OrqoqWlhbm5OTY2NtSvX5+lR26SnJ7x2rm0tFQYftmAzLRk0p5Gv/F6yekZLDty873G8uzZMyZOnMjSpUtp27YthoaG6Ojo0KpVK2bPnv1e58iPpKj7BF2/scGjZSX0dbTR0nr7sVpaoK+j/Up7WQghhPgcrKyscHZ2ZsCAAbLFgRAFzPHjx7l//z5OTk507NgRHx+fd76na9eubN26lYyMDMLDw3n+/Dlff/01AKdPnyYlJQUrKyu2bNlCREQEfrv2c/R6zBtvS8rUZPAiNBBUatSFLd54vcxM+OtazHutinnq1CmSk5Np06bNO48tSPLk6pe5SddvbKhqacKyIzf561oMWvxzA+h/6alVZAINKhbDtX556dAJIYRQxLp16yhSpAijRo16r0W6hBD5g7e3Ny1atKBo0aJ07tyZevXq8fjxYyws3lxgAVhaWlKxYkUCAwP566+/3rg3NMDPP/+MWq0m9T+Ln5g0cMG4WnMAUqKuEjm/E5lpyWiptDFvNQJtw3//O1gLCLhw/53jefLkCebm5ln31v0bPz8/9uzZ80HHVK9enb/++uudGXIjKeqyQVVLE1Z0rcWTxBQCLtzn6oPnJCSnUVhPB7uSxrSvYYmZUaF3n0gIIYTIIbq6ukybNo0xY8YwYcIE2eJAiALg5cuX+Pv7s2bNGuCfFS2trKzYvHkzw4YNe+t7u3fvjpeXFydPnuTYsWPcuHHjtWN27NhB48aNGeZ7kR0hr06tLFTajhJdZ6FJfcmTfYtIufc3hpW++9frJadruPrgOWq1mrS0tFdeS0tLy1qMxczMjNjYWNLT099a2HXs2PGNC6W865i8SqZfZiMzo0L0r2fL/E7VWNvjK+Z3qkb/erZS0AkhhMgV3N3dKVasGB07dlQ6ihDiM9i+fTsJCQm4urpmbfUVFRX1XlMw27Vrx969eylXrhzW1tZvPTYhOf1fX1Pp6mPabCCJf/9F6sNb7zhPGlZWVq+trhkREUGZMmVQqVTUqVMHPT09duzY8c4xFCRS1AkhhBAFyObNmwkMDCQkJETpKEKIbJSWlkZycnLWIz09HW9vb3r16kVYWBghISGEhIQQFBRESEgIYWFhbz2foaEhhw8fzuryvU1hvbdP/tPWL4yxQ1Pig15drCkzPY3M9NSsh7GudlYx+ccff5CRkUF0dDRTp07FyckJgCJFiuDp6cmgQYPYsWMHSUlJpKWlsX//fkaPHv3OrPmVTL8UQgghCpD69etTu3ZtOnTo8MbpVEKIvKlly5avfN2zZ0/+/PNPLl68SIkSJbKeL1GiBM2bN8fb25s5c+a89Zy1ar19T+VWrVqhra1NekYmqRka9GyqYdHulzcea1yrNVEr+5D6OAKVrgEA9+a1f/Wgud5Uce7Oli1bGDduHDdv3sTExISOHTvy66+/Zh3m7u5O8eLFmTp1Kl26dMHY2JiaNWvi4eHx1rz/l6+v72sdv9u3b7/1fsPcSjYfF0IIIQqY+/fvY21tzfr16/91AQQhhHhfsYkpfDvzMCnpH7+6biG1ipNjGsptSx9Jpl8KIYQQBYylpSXdunVj8ODBssWBEOKTmRsV4vsvir1zi69/o6X1z0rxUtB9PCnqhBBCiAJo1apVpKenM3z4cKWjCCHygUH1y6On1v6o9+qptXGtXz6bExUsUtQJIYQQBZCuri4zZ85k6dKlxMXFKR1HCJHHOZQxwaOlHfo6H1Ze6Ouo8GhpJ3s5fyK5p04IIYQowCwtLbGzsyMwMFDpKEKIfGBj8B2m7btKcnoGb6sytLT+6dB5tLSj6zc2ny1ffiVFnRBCCFGAHTt2jPr163PmzJl3rnQnhBDvI/R+PMuO3OSvazFo8c/G4v+lp1aRyT/30LnWLy8dumwiRZ0QQghRwNWtW5dHjx5x69bbNwYWQogP8SQxhYAL97n64DkJyWkU1tPBrqQx7WtYyqIo2UyKOiGEEKKAi46OpkyZMqxZswYXFxel4wghhPhAUtQJIYQQgl69euHv78+zZ89QqWQdNSGEyEvkf20hhBBCsGrVKjIyMhg6dKjSUYQQQnwgKeqEEEIIgVqtZtasWSxfvpzY2Fil4wghhPgAMv1SCCGEEFmsrKywtbXlr7/+UjqKEEKI9ySdOiGEEEJk2bJlC0ePHuXs2bNKRxFCCPGepFMnhBBCiFc4OjoSFRVFRESE0lGEEEK8B+nUCSGEEOIVAQEBREZGsmbNGqWjCCGEeA/SqRNCCCHEa/r168fmzZuJj49HrVYrHUcIIcRbSKdOCCGEEK9ZtmwZAG5ubgonEUII8S5S1AkhhBDiNWq1mrlz57J69WoeP36sdBwhhBBvIdMvhRBCCPGvbGxssLa25ujRo0pHEUII8S+kUyeEEEKIf7VlyxaOHz/OqVOnlI4ihBDiX0inTgghhBBv9f3333P37l3u3LmjdBQhhBBvIJ06IYQQQryVv78/9+/fZ+XKlUpHEUII8QbSqRNCCCHEOw0cOJANGzbIFgdCCJELSVEnhBBCiHdKT0/HxMSEzp07s2rVKqXjCCGE+B8y/VIIIYQQ76RWq1mwYAFr167l4cOHSscRQgjxP6RTJ4QQQoj3VrZsWSwtLTl+/LjSUYQQQvyHdOqEEEII8d78/PwICgoiKChI6ShCCCH+Qzp1QgghhPggDRo04NatW0RGRiodRQghBNKpE0IIIcQH8vf3Jzo6mmXLlikdRQghBNKpE0IIIcRHcHNzY926dTx79ky2OBBCCIVJUSeEEEKID6bRaChSpAgdOnRg3bp1SscRQogCTaZfCiGEEOKDqVQqFi1ahLe3N9HR0UrHEUKIAk06dUIIIYT4aLa2thQvXpyTJ08qHUUIIQos6dQJIYQQ4qP5+voSHBzMsWPHlI4ihBAFlnTqhBBCCPFJGjduzNWrV7l//77SUYQQokCSTp0QQgghPomfnx8PHz5k4cKFSkcRQogCSTp1QgghhPhkQ4cOZfXq1cTHx6Orq6t0HCGEKFCkqBNCCCHEJ9NoNJiYmNC2bVu8vLyUjiOEEAWKTL8UQgghxCdTqVQsWbKEDRs2yL11QgjxmUmnTgghhBDZpkKFCpiZmREcHKx0FCGEKDCkUyeEEEKIbOPv78+ZM2c4fPiw0lGEEKLAkE6dEEIIIbJV06ZNuXz5MtHR0UpHEUKIAkE6dUIIIYTIVn5+fsTExDBv3jylowghRIEgnTohhBBCZDt3d3eWL1/Os2fPZIsDIYTIYdKpE0IIIUS2mzNnDrq6uvTp04e4uDjp2gkhRA6STp0QQgghcsTGjRvp1q0bWlpaZGZmkpaWhlqtVjqWEELkO9KpE0IIIUS2O3z4MH379gXgv58fP378WMlIQgiRb0lRJ4QQQohsd/XqVZKTk195TlbDFEKInCFFnRBCCCGynaurKxcvXqRo0aJZz0lRJ4QQOUMmtgshhBAiR1SrVo3Y2Fh69+6Nl5cXN2/eBCA2MYWA8/e5+jCBhOR0CuupsStRmA41LTEzKqRwaiGEyHtkoRQhhBBC5Ljk5GSuxSSz9MhNjl6PASAlXZP1up5aRSZQv2IxXL8vj0MZE4WSCiFE3iNFnRBCCCFy3MbgO0zbd5Xk9Aze9peHlhboqbXxaGlH129sPls+IYTIy2T6pRBCCCFy1D8FXTgv0zTvPDYzE16mZTBtXziAFHZCCPEeZKEUIYQQIp+ysbFBX18fIyMjihYtyg8//MC9e/cA6NmzJ7q6uhgZGWFqakqTJk24evVq1nu9vLxwdHR85VzFixfnxYsXWc+tWbOG+vXrZ32tpaWFoaEhRkZGmJmZ0ahRI2YtXce0fVdfK+hi98zn7syfSH/+JOu5F1eOcn9ZLzIzM3mZpmHavquE3o8nPT0dCwsL9uzZA0B8fDwDBw6kRIkSGBgYYG9vz/r1618be2BgYNZYtLS0mD179ivHWFpacuTIEQAmTZqEjo4ORkZGWQ8TE5kCKoTIG6SoE0IIIfKx3bt3k5iYyIMHDyhevDhubm5Zr40ePZrExESioqIoXbo0vXv3fuu50tPTWbhw4VuPuXTpEomJiVy7do2ePXvy67gRPPxrwyvHaFKTSbp+ElUhQ15cOZL1vMEXddCkvCAlMgyA5PQMlh25yYEDB9DS0qJ58+akpqbSuHFj7t69y6lTp3j27BmzZ89m7NixzJs3719zmZqaMnPmTBISEv71mE6dOpGYmJj1iI+Pf+tYQuXDwwAABpRJREFUhRAit5CiTgghhCgA9PT0aN++PVeuXHntNX19fTp27EhISMhbzzFq1CjmzJnzXsWOubk5Ldp0pGhTV+JP+ZPx8v8XU0nXglAVMqTIt068CPvz/7V3/zFR13Ecx19wh4B3HOe6Shk4cZcBUlCxia3p+TN12hz++kNwa63+qE03J3+xoeJ0aiwmWDqtzPGHwx+bbJVzmGSj2Vq2lZRi1tAkCC64UOAuDq4/2L7JUM5aZh98PrbvP/f+fD+f9/f+utc+3+/3rM9j7OPkyHhBtxrPShq6FbO+qUPvvv+B1q5dK7vdrurqal2/fl3Hjh1Tenq64uLitGjRIlVWVqq0tPSuoS0zM1MzZ85URUVF1N4BwDSEOgAAHgK9vb2qqalRfn7+iFpPT4+OHDkir9c76hx5eXny+XwqLy+/pzWPX7gh57R8aXBAf/xy5a/1Gj+RI2uWHFmz1P/bDYXarlo1x1Pz1Nv0uQb7Q5KkwWCPPv7oQ61bt06SVFdXp8WLF8vhcAxba8WKFQoGgzp//vxd+9m2bZsqKirU2dl5T/0DgCkIdQAAjGHLly+X2+2Wy+VSXV2diouLrVp5ebncbreSkpLU0NCg6urqUWYaUlZWpqqqKnV0dEQde7mtW39EYhU73qWB4E1JUvj3dgWvXZQjyyebY4ISpuQM261LSM2SzeFW35WhcNbZeE7JEycrNzdXkuT3+zVp0qQRa9ntdnk8Hvn9/rv2k5ubq4ULF2rXrl13rB89elRut9s65syZE/UaAeD/gFAHAMAYdvLkSQUCAYVCIe3du1ezZ89WW1ubJGnTpk0KBAJqbm5WYmKimpqaos6XnZ2tpUuXaufOnVHHdgfDigyENdjbLVtCkiSp57t6xXnSNO7xqZIkR5ZPPd+fU2QgbJ3nyJ5r3YLZ01ivqc8vsWoej0etra0j1gqHw/L7/fJ4PKP2VFZWpn379lnfwe1Wr16tQCBgHfX19VGvEQD+Dwh1AAA8BGw2mwoKCmSz2dTQ0DCsNnnyZO3Zs0cbNmxQX19f1Lm2bt2qgwcPqqWlZdRxrgS7en/4QoqN1biUaZKkW41nFQ606eeqQv1cVaius+9psK9bfT9dsM5zZs9T8No3CrVcUuiXJuX4llq1+fPn69SpU8PewilJJ06cUHx8/B1vL71dRkaGCgoKtGPHjqjXCQCmINQBAPAQiEQiqq2tVVdXlzIzM0fUFyxYoJSUFB04cCDqXF6vV2vWrFFlZeVdx3R2dqr7Yr266vYrecZK2RJdCrVcUrirVRPXvaWUl6uGjlfe1vis2cNuwbQnP6b41Cx11L4px9Rn9FxmulUrKipSamqqVq1apebmZvX39+v06dNav369tmzZouTk5Kj9b968WYcOHeLtlgDGDEIdAABj2LJly+R0OuVyuVRSUqLDhw9r+vTpdxxbXFys3bt3KxQKRZ23tLR0xG6ZJOXk5MjpdMrr9erKZ7V6dMGrcs8qlCTduviJxj+Rr3GPTZHNOcE6XHkvqffHLzXQd9Oax5k9TwPd7XI9NVcrn021Po+Pj9eZM2eUlpamGTNmyOVyaePGjdq+ffuw5wVHk56erqKiohH919TUDPufOqfTqfb29nuaEwAepJhIJBJ50E0AAICx6bXqr1R36Vf9k18bMTHSi1mPa39h3r/fGACMIezUAQCA++YNn1cJdts/OjfBbtPrvtH/ZgEAQKgDAAD3UU6aWyVLMpQY9/d+ciTGxapkSYaeTnXfp84AYOywP+gGAADA2FaYP0WStP3jywqGB0a9FTMmZmiHrmRJhnUeAGB0PFMHAAD+E9/eCOidT6+qvqlDMZKC4UGrlmCPVUTSnCcf1es+Lzt0APA3EOoAAMB/6rdbIR3/+oYut95Ud7BfroQ4ZUxK0spnU/WIM/5BtwcAxiHUAQAAAIDBeFEKAAAAABiMUAcAAAAABiPUAQAAAIDBCHUAAAAAYDBCHQAAAAAYjFAHAAAAAAYj1AEAAACAwQh1AAAAAGAwQh0AAAAAGIxQBwAAAAAGI9QBAAAAgMEIdQAAAABgMEIdAAAAABiMUAcAAAAABiPUAQAAAIDBCHUAAAAAYDBCHQAAAAAYjFAHAAAAAAYj1AEAAACAwQh1AAAAAGAwQh0AAAAAGIxQBwAAAAAGI9QBAAAAgMEIdQAAAABgMEIdAAAAABiMUAcAAAAABiPUAQAAAIDBCHUAAAAAYDBCHQAAAAAYjFAHAAAAAAYj1AEAAACAwf4EVQqNga+RwvAAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#G.graph['edge'] = {'arrowsize': '0.6', 'splines': 'curved'}\n", + "G.graph['graph'] = {'scale': '3'}\n", + "nx.draw(G, with_labels = True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Cette représentation graphique marque la fin de notre analyse de données." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb deleted file mode 100644 index 0bbbe37..0000000 --- a/module3/exo3/exercice.ipynb +++ /dev/null @@ -1,25 +0,0 @@ -{ - "cells": [], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.3" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} - -- 2.18.1