{ "cells": [ { "cell_type": "markdown", "metadata": { "hideCode": false, "hidePrompt": false }, "source": [ "# Sujet 5: Analyse des dialogues dans l'Avare de Molière" ] }, { "cell_type": "markdown", "metadata": { "hideCode": false, "hidePrompt": false }, "source": [ "J'ai choisi de partir du format markdown. Je commence par télécharger le fichier." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [], "source": [ "import os\n", "import urllib.request \n", "data_url = \"http://dramacode.github.io/markdown/moliere_avare.txt\"\n", "data_file = \"moliere_avare.txt\"\n", "if not os.path.exists(data_file):\n", " urllib.request.urlretrieve(data_url, data_file) \n", " print(\"Download from http://dramacode.github.io/markdown/moliere_avare.txt\")" ] }, { "cell_type": "markdown", "metadata": { "hideCode": false, "hidePrompt": false }, "source": [ "Je voudrais faire un dataframe contenant pour chaque scène les interventions de chaque personnage. " ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [], "source": [ "import pandas as pd" ] }, { "cell_type": "markdown", "metadata": { "hideCode": false, "hidePrompt": false }, "source": [ "Je commence par lire le fichier markdown. " ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [], "source": [ "text=open(data_file,'r')\n", "Lines = text.readlines()\n" ] }, { "cell_type": "markdown", "metadata": { "hideCode": false, "hidePrompt": false }, "source": [ "Je parse le texte de façon à récupérer le nom des personnages. " ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [ { "data": { "text/plain": [ "['VALÈRE',\n", " 'ÉLISE',\n", " 'CLÉANTE',\n", " 'HARPAGON',\n", " 'LA FLÈCHE',\n", " 'MAÎTRE SIMON',\n", " 'FROSINE',\n", " 'MAÎTRE JACQUES',\n", " 'LA MERLUCHE',\n", " 'BRINDAVOINE',\n", " 'MARIANE',\n", " 'LE COMMISSAIRE',\n", " 'ANSELME']" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Perso = []\n", "for l in Lines:\n", " if l[0:4]==' ':\n", " name=l[4:].split('.')[0].split('*')[0].split(',')[0]\n", " if name not in Perso and name[-1]!=' ':\n", " Perso.append(name)\n", "Perso " ] }, { "cell_type": "markdown", "metadata": { "hideCode": false, "hidePrompt": false }, "source": [ "Je récupère de même les actes et les scènes:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [ { "data": { "text/plain": [ "['Premier_Première',\n", " 'Premier_II',\n", " 'Premier_III',\n", " 'Premier_IV',\n", " 'Premier_V',\n", " 'II_Première',\n", " 'II_II',\n", " 'II_III',\n", " 'II_IV',\n", " 'II_V',\n", " 'III_Première',\n", " 'III_II',\n", " 'III_III',\n", " 'III_IV',\n", " 'III_V',\n", " 'III_VI',\n", " 'III_VII',\n", " 'III_VIII',\n", " 'III_IX',\n", " 'IV_Première',\n", " 'IV_II',\n", " 'IV_III',\n", " 'IV_IV',\n", " 'IV_V',\n", " 'IV_VI',\n", " 'IV_VII',\n", " 'V_Première',\n", " 'V_II',\n", " 'V_III',\n", " 'V_IV',\n", " 'V_V',\n", " 'V_VI']" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Scenes=[]\n", "for l in Lines:\n", " if l[0:2]=='##':\n", " if l[2]!='#':\n", " Acte=l.split(' ')[2].split('.')[0]\n", " else : \n", " Scene=Acte+'_'+l.split(' ')[2].split('.')[0]\n", " Scenes.append(Scene) \n", "Scenes" ] }, { "cell_type": "markdown", "metadata": { "hideCode": false, "hidePrompt": false }, "source": [ "Après avoir vérifié que je récupère bien tous les personnages et toutes les scènes, je construis un dataframe qui contient les répliques de chaque personnage dans chaque scène. " ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "hideCode": false, "hidePrompt": false, "scrolled": false }, "outputs": [], "source": [ "df=pd.DataFrame()\n", "Scene=''\n", "for l in Lines:\n", " if l[0:2]=='##':\n", " if l[2]!='#':\n", " Acte=l.split(' ')[2].split('.')[0]\n", " else : \n", " Scene=Acte+'_'+l.split(' ')[2].split('.')[0]\n", " new_row = pd.Series(data={}, name=Scene)\n", " #append the row to the dataframe\n", " df = df.append(new_row, ignore_index=False)\n", " Name=''\n", " elif l[0:4]==' ':\n", " Name=l[4:].split('.')[0].split('*')[0].split(',')[0]\n", " if Name[-1]==' ': \n", " Name=Name[:-1]\n", " if Name not in df.columns: \n", " df[Name]=None\n", " if isinstance(df[Name][Scene],list)==False: df[Name][Scene]=[] \n", " \n", " elif Scene!='' and Name!='' and l[0] != '\\n': \n", " df[Name][Scene].append(l.split('\\n')[0])\n", " \n", " \n" ] }, { "cell_type": "markdown", "metadata": { "hideCode": false, "hidePrompt": false }, "source": [ "Je vérifie une entrée:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [ { "data": { "text/plain": [ "[\"Me voilà prête à vous ouïr, mon Frère. Qu'avez-vous à me dire ?\",\n", " 'Vous aimez ?',\n", " 'Vous êtes-vous engagé, mon Frère, avec celle que vous aimez ?',\n", " 'Suis-je, mon Frère, une si étrange personne ?',\n", " \"Hélas ! mon Frère, ne parlons point de ma sagesse. Il n'est personne qui n'en manque du moins une fois en sa vie ; et si je vous ouvre mon cœur, peut-être serai-je à vos yeux bien moins sage que vous.\",\n", " 'Finissons auparavant votre affaire, et me dites qui est celle que vous aimez.',\n", " \"J'en vois beaucoup, mon Frère, dans les choses que vous me dites ; et pour comprendre ce qu'elle est, il me suffit que vous l'aimez.\",\n", " 'Oui, je conçois assez, mon Frère, quel doit être votre chagrin.',\n", " 'Il est bien vrai que tous les jours il nous donne, de plus en plus, sujet de regretter la mort de notre Mère, et que…']" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['ÉLISE']['Premier_II']" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "9\n" ] } ], "source": [ "print(len(df['ÉLISE']['Premier_II']))" ] }, { "cell_type": "markdown", "metadata": { "hideCode": false, "hidePrompt": false }, "source": [ "Il y a 9 répliques d'Élise dans l'acte I scène 2. " ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [ { "data": { "text/plain": [ "41" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df['ÉLISE']['Premier_II'][4].split(' '))" ] }, { "cell_type": "markdown", "metadata": { "hideCode": false, "hidePrompt": false }, "source": [ "Il y a 41 mots dans la 5ème réplique (en coupant simplement aux espaces). \n", "J'ai à présent un objet que je peux utiliser pour répondre aux questions posées.\n", "\n", "\n", "\n", "# Question 1\n", "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).\n" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "hideCode": false, "hideOutput": true, "hidePrompt": false, "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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VALÈREÉLISECLÉANTEHARPAGONLA FLÈCHEMAÎTRE SIMONFROSINEMAÎTRE JACQUESLA MERLUCHEBRINDAVOINEMARIANELE COMMISSAIREANSELME
Premier_Première[Hé quoi, charmante Élise, vous devenez mélanc...[Non, Valère, je ne puis pas me repentir de to...NoneNoneNoneNoneNoneNoneNoneNoneNoneNoneNone
Premier_IINaN[Me voilà prête à vous ouïr, mon Frère. Qu'ave...[Je suis bien aise de vous trouver seule, ma S...NoneNoneNoneNoneNoneNoneNoneNoneNoneNone
Premier_IIINaNNaNNaN[Hors d'ici tout à l'heure, et qu'on ne répliq...[Je n'ai jamais rien vu de si méchant que ce m...NoneNoneNoneNoneNoneNoneNoneNone
Premier_IVNaN[Nous ne venons que d'arriver., Quoi ?, Pardon...[Rien, mon Père., Quoi ? mon Père., Non., Nous...[Certes, ce n'est pas une petite peine que de ...NaNNoneNoneNoneNoneNoneNoneNoneNone
Premier_V[C'est vous, Monsieur, sans contredit., Non. M...[Vous moquez-vous, Valère, de lui parler comme...NaN[Ici, Valère. Nous t'avons élu pour nous dire ...NaNNoneNoneNoneNoneNoneNoneNoneNone
II_PremièreNaNNaN[Ah ! traître que tu es, où t'es-tu donc allé ...NaN[Oui, Monsieur, et je m'étais rendu ici pour v...NoneNoneNoneNoneNoneNoneNoneNone
II_IINaNNaN[Lui aurait-on appris qui je suis ? et serais-...[Mais croyez-vous, Maître Simon, qu'il n'y ait...[Que veut dire ceci ? Notre maître Simon qui p...[Oui, Monsieur, c'est un jeune Homme qui a bes...NoneNoneNoneNoneNoneNoneNone
II_IIINaNNaNNaN[Attendez un moment. Je vais revenir vous parl...NaNNaN[Monsieur…]NoneNoneNoneNoneNoneNone
II_IVNaNNaNNaNNaN[L'Aventure est tout à fait drôle Il faut bien...NaN[Hé c'est toi, mon pauvre la Flèche ! D'où vie...NoneNoneNoneNoneNoneNone
II_VNaNNaNNaN[Tout va comme il faut. Hé bien, qu'est-ce, Fr...NaNNaN[Ah, mon Dieu ! que vous vous portez bien ! et...NoneNoneNoneNoneNoneNone
III_Première[Je n'ai jamais vu de réponse plus impertinent...[Oui, mon Père.][Moi, mon Père, mauvais visage ; et par quelle...[Allons.Venez çà tous, que je vous distribue m...NaNNaNNaN[Châtiment politique., Oui ; le vin pur monte ...[Quitterons-nous nos siquenilles, Monsieur ?, ...[Vous savez bien, Monsieur, qu'un des devants ...NoneNoneNone
III_II[À ce que je puis voir, Maître Jacques, on pay...NaNNaNNaNNaNNaNNaN[Morbleu, Monsieur le nouveau venu, qui faites...NaNNaNNoneNoneNone
III_IIINaNNaNNaNNaNNaNNaN[Savez-vous, Maître Jacques, si votre maître e...[Oui vraiment il y est, je ne le sais que trop.]NaNNaNNoneNoneNone
III_IVNaNNaNNaNNaNNaNNaN[Mais pourquoi, et quelle est votre inquiétude...NaNNaNNaN[Ah ! que je suis, Frosine, dans un étrange ét...NoneNone
III_VNaNNaNNaN[Ne vous offensez pas, ma Belle, si je viens à...NaNNaN[C'est qu'elle est encore toute surprise ; et ...NaNNaNNaNNaNNoneNone
III_VINaN[Vous avez fait, Madame, ce que je devais fair...NaN[Vous voyez qu'elle est grande ; mais mauvaise...NaNNaN[Qu'elle vous trouve admirable., L'aventure es...NaNNaNNaN[Je m'acquitte bien tard, Madame, d'une telle ...NoneNone
III_VII[Il a perdu le sens.]NaN[Madame, à vous dire le vrai, c'est ici une av...[Voilà un compliment bien impertinent. Quelle ...NaNNaN[Non, il vaut mieux que de ce pas nous allions...NaNNaNNaN[Je puis dire la même chose. C'est une rencont...NoneNone
III_VIIINaNNaNNaN[Dis-lui que je suis empêché, et qu'il revienn...NaNNaNNaNNaNNaN[Monsieur, il y a là un Homme qui veut vous pa...NaNNoneNone
III_IX[Cela ne sera rien., C'est assez.]NaN[Qu'est-ce, mon Père ? Vous êtes-vous fait mal...[Ah, je suis mort !, Le traître assurément a r...NaNNaNNaNNaN[Il vient en courant, et fait tomber Harpagon....NaNNaNNoneNone
IV_PremièreNaN[Oui, Madame, mon Frère m'a fait confidence de...[Rentrons ici, nous serons beaucoup mieux.Il n...NaNNaNNaN[Vous êtes, par ma foi, de malheureuses gens l...NaNNaNNaN[C'est une douce consolation, que de voir dans...NoneNone
IV_IINaN[Voilà mon Père.][Puisque vous n'y allez pas, mon Père, je m'en...[Ouais ! mon Fils baise la main de sa prétendu...NaNNaNNaNNaNNaNNaNNaNNoneNone
IV_IIINaNNaN[Ce qui m'en semble ?, Là, là., À vous en parl...[Ô çà, intérêt de Belle-Mère à part, que te se...NaNNaNNaNNaNNaNNaNNaNNoneNone
IV_IVNaNNaN[Je me moque de cela., Je n'en démordrai point...[Me parler avec cette impudence !, Laisse-moi ...NaNNaNNaN[Eh, eh, eh, Messieurs, qu'est-ce ci ? à quoi ...NaNNaNNaNNoneNone
IV_VNaNNaN[Je vous demande pardon, mon Père, de l'emport...[Cela n'est rien., Et moi, j'ai toutes les joi...NaNNaNNaNNaNNaNNaNNaNNoneNone
IV_VINaNNaN[Qu'y a-t-il ?, Comment ?, Quoi ?, Qu'est-ce q...NaN[Ah, Monsieur, que je vous trouve à propos !Su...NaNNaNNaNNaNNaNNaNNoneNone
IV_VIINaNNaNNaN[Il crie au Voleur dès le jardin, et vient san...NaNNaNNaNNaNNaNNaNNaNNoneNone
V_PremièreNaNNaNNaN[Tous les Magistrats sont intéressés à prendre...NaNNaNNaNNaNNaNNaNNaN[Laissez-moi faire. Je sais mon métier, Dieu m...None
V_IINaNNaNNaN[Qui ? celui qui m'a dérobé ?, Il n'est pas qu...NaNNaNNaN[Je m'en vais revenir. Qu'on me l'égorge tout ...NaNNaNNaN[Ne vous épouvantez point. Je suis Homme à ne ...None
V_III[Que voulez-vous, Monsieur ?, De quel crime vo...NaNNaN[Approche. Viens confesser l'action la plus no...NaNNaNNaN[Oh, oh. Aurais-je deviné sans y penser ?, Écr...NaNNaNNaNNaNNone
V_IV[Ce ne sera point votre passion qui jugera l'a...[Ah ! mon père, prenez des sentiments un peu p...NaN[Ah ! fille scélérate ! Fille indigne d'un Pèr...NaNNaN[Voici un étrange embarras.][Tu me payeras mes coups de bâton.]NaNNaNNaNNaNNone
V_V[Qui songe à votre argent, dont vous me faites...NaNNaN[Ah ! Seigneur Anselme, vous me voyez le plus ...NaNNaNNaN[Vous voyez que je ne dis rien.]NaNNaN[Hélas ! à vos paroles, je puis ici répondre, ...NaN[Qu'est-ce, Seigneur Harpagon, je vous vois to...
V_VINaNNaN[Ne vous tourmentez point, mon Père, et n'accu...[Où est-il ?, N'en a-t-on rien ôté ?, Il faut,...NaNNaNNaN[Hélas ! comment faut-il donc faire ? On me do...NaNNaN[Mais vous ne savez pas, que ce n'est pas asse...[Holà, Messieurs, holà.Tout doucement, s'il vo...[Le Ciel, mes Enfants, ne me redonne point à v...
\n", "
" ], "text/plain": [ " VALÈRE \\\n", "Premier_Première [Hé quoi, charmante Élise, vous devenez mélanc... \n", "Premier_II NaN \n", "Premier_III NaN \n", "Premier_IV NaN \n", "Premier_V [C'est vous, Monsieur, sans contredit., Non. M... \n", "II_Première NaN \n", "II_II NaN \n", "II_III NaN \n", "II_IV NaN \n", "II_V NaN \n", "III_Première [Je n'ai jamais vu de réponse plus impertinent... \n", "III_II [À ce que je puis voir, Maître Jacques, on pay... \n", "III_III NaN \n", "III_IV NaN \n", "III_V NaN \n", "III_VI NaN \n", "III_VII [Il a perdu le sens.] \n", "III_VIII NaN \n", "III_IX [Cela ne sera rien., C'est assez.] \n", "IV_Première NaN \n", "IV_II NaN \n", "IV_III NaN \n", "IV_IV NaN \n", "IV_V NaN \n", "IV_VI NaN \n", "IV_VII NaN \n", "V_Première NaN \n", "V_II NaN \n", "V_III [Que voulez-vous, Monsieur ?, De quel crime vo... \n", "V_IV [Ce ne sera point votre passion qui jugera l'a... \n", "V_V [Qui songe à votre argent, dont vous me faites... \n", "V_VI NaN \n", "\n", " ÉLISE \\\n", "Premier_Première [Non, Valère, je ne puis pas me repentir de to... \n", "Premier_II [Me voilà prête à vous ouïr, mon Frère. Qu'ave... \n", "Premier_III NaN \n", "Premier_IV [Nous ne venons que d'arriver., Quoi ?, Pardon... \n", "Premier_V [Vous moquez-vous, Valère, de lui parler comme... \n", "II_Première NaN \n", "II_II NaN \n", "II_III NaN \n", "II_IV NaN \n", "II_V NaN \n", "III_Première [Oui, mon Père.] \n", "III_II NaN \n", "III_III NaN \n", "III_IV NaN \n", "III_V NaN \n", "III_VI [Vous avez fait, Madame, ce que je devais fair... \n", "III_VII NaN \n", "III_VIII NaN \n", "III_IX NaN \n", "IV_Première [Oui, Madame, mon Frère m'a fait confidence de... \n", "IV_II [Voilà mon Père.] \n", "IV_III NaN \n", "IV_IV NaN \n", "IV_V NaN \n", "IV_VI NaN \n", "IV_VII NaN \n", "V_Première NaN \n", "V_II NaN \n", "V_III NaN \n", "V_IV [Ah ! mon père, prenez des sentiments un peu p... \n", "V_V NaN \n", "V_VI NaN \n", "\n", " CLÉANTE \\\n", "Premier_Première None \n", "Premier_II [Je suis bien aise de vous trouver seule, ma S... \n", "Premier_III NaN \n", "Premier_IV [Rien, mon Père., Quoi ? mon Père., Non., Nous... \n", "Premier_V NaN \n", "II_Première [Ah ! traître que tu es, où t'es-tu donc allé ... \n", "II_II [Lui aurait-on appris qui je suis ? et serais-... \n", "II_III NaN \n", "II_IV NaN \n", "II_V NaN \n", "III_Première [Moi, mon Père, mauvais visage ; et par quelle... \n", "III_II NaN \n", "III_III NaN \n", "III_IV NaN \n", "III_V NaN \n", "III_VI NaN \n", "III_VII [Madame, à vous dire le vrai, c'est ici une av... \n", "III_VIII NaN \n", "III_IX [Qu'est-ce, mon Père ? Vous êtes-vous fait mal... \n", "IV_Première [Rentrons ici, nous serons beaucoup mieux.Il n... \n", "IV_II [Puisque vous n'y allez pas, mon Père, je m'en... \n", "IV_III [Ce qui m'en semble ?, Là, là., À vous en parl... \n", "IV_IV [Je me moque de cela., Je n'en démordrai point... \n", "IV_V [Je vous demande pardon, mon Père, de l'emport... \n", "IV_VI [Qu'y a-t-il ?, Comment ?, Quoi ?, Qu'est-ce q... \n", "IV_VII NaN \n", "V_Première NaN \n", "V_II NaN \n", "V_III NaN \n", "V_IV NaN \n", "V_V NaN \n", "V_VI [Ne vous tourmentez point, mon Père, et n'accu... \n", "\n", " HARPAGON \\\n", "Premier_Première None \n", "Premier_II None \n", "Premier_III [Hors d'ici tout à l'heure, et qu'on ne répliq... \n", "Premier_IV [Certes, ce n'est pas une petite peine que de ... \n", "Premier_V [Ici, Valère. Nous t'avons élu pour nous dire ... \n", "II_Première NaN \n", "II_II [Mais croyez-vous, Maître Simon, qu'il n'y ait... \n", "II_III [Attendez un moment. Je vais revenir vous parl... \n", "II_IV NaN \n", "II_V [Tout va comme il faut. Hé bien, qu'est-ce, Fr... \n", "III_Première [Allons.Venez çà tous, que je vous distribue m... \n", "III_II NaN \n", "III_III NaN \n", "III_IV NaN \n", "III_V [Ne vous offensez pas, ma Belle, si je viens à... \n", "III_VI [Vous voyez qu'elle est grande ; mais mauvaise... \n", "III_VII [Voilà un compliment bien impertinent. Quelle ... \n", "III_VIII [Dis-lui que je suis empêché, et qu'il revienn... \n", "III_IX [Ah, je suis mort !, Le traître assurément a r... \n", "IV_Première NaN \n", "IV_II [Ouais ! mon Fils baise la main de sa prétendu... \n", "IV_III [Ô çà, intérêt de Belle-Mère à part, que te se... \n", "IV_IV [Me parler avec cette impudence !, Laisse-moi ... \n", "IV_V [Cela n'est rien., Et moi, j'ai toutes les joi... \n", "IV_VI NaN \n", "IV_VII [Il crie au Voleur dès le jardin, et vient san... \n", "V_Première [Tous les Magistrats sont intéressés à prendre... \n", "V_II [Qui ? celui qui m'a dérobé ?, Il n'est pas qu... \n", "V_III [Approche. Viens confesser l'action la plus no... \n", "V_IV [Ah ! fille scélérate ! Fille indigne d'un Pèr... \n", "V_V [Ah ! Seigneur Anselme, vous me voyez le plus ... \n", "V_VI [Où est-il ?, N'en a-t-on rien ôté ?, Il faut,... \n", "\n", " LA FLÈCHE \\\n", "Premier_Première None \n", "Premier_II None \n", "Premier_III [Je n'ai jamais rien vu de si méchant que ce m... \n", "Premier_IV NaN \n", "Premier_V NaN \n", "II_Première [Oui, Monsieur, et je m'étais rendu ici pour v... \n", "II_II [Que veut dire ceci ? Notre maître Simon qui p... \n", "II_III NaN \n", "II_IV [L'Aventure est tout à fait drôle Il faut bien... \n", "II_V NaN \n", "III_Première NaN \n", "III_II NaN \n", "III_III NaN \n", "III_IV NaN \n", "III_V NaN \n", "III_VI NaN \n", "III_VII NaN \n", "III_VIII NaN \n", "III_IX NaN \n", "IV_Première NaN \n", "IV_II NaN \n", "IV_III NaN \n", "IV_IV NaN \n", "IV_V NaN \n", "IV_VI [Ah, Monsieur, que je vous trouve à propos !Su... \n", "IV_VII NaN \n", "V_Première NaN \n", "V_II NaN \n", "V_III NaN \n", "V_IV NaN \n", "V_V NaN \n", "V_VI NaN \n", "\n", " MAÎTRE SIMON \\\n", "Premier_Première None \n", "Premier_II None \n", "Premier_III None \n", "Premier_IV None \n", "Premier_V None \n", "II_Première None \n", "II_II [Oui, Monsieur, c'est un jeune Homme qui a bes... \n", "II_III NaN \n", "II_IV NaN \n", "II_V NaN \n", "III_Première NaN \n", "III_II NaN \n", "III_III NaN \n", "III_IV NaN \n", "III_V NaN \n", "III_VI NaN \n", "III_VII NaN \n", "III_VIII NaN \n", "III_IX NaN \n", "IV_Première NaN \n", "IV_II NaN \n", "IV_III NaN \n", "IV_IV NaN \n", "IV_V NaN \n", "IV_VI NaN \n", "IV_VII NaN \n", "V_Première NaN \n", "V_II NaN \n", "V_III NaN \n", "V_IV NaN \n", "V_V NaN \n", "V_VI NaN \n", "\n", " FROSINE \\\n", "Premier_Première None \n", "Premier_II None \n", "Premier_III None \n", "Premier_IV None \n", "Premier_V None \n", "II_Première None \n", "II_II None \n", "II_III [Monsieur…] \n", "II_IV [Hé c'est toi, mon pauvre la Flèche ! D'où vie... \n", "II_V [Ah, mon Dieu ! que vous vous portez bien ! et... \n", "III_Première NaN \n", "III_II NaN \n", "III_III [Savez-vous, Maître Jacques, si votre maître e... \n", "III_IV [Mais pourquoi, et quelle est votre inquiétude... \n", "III_V [C'est qu'elle est encore toute surprise ; et ... \n", "III_VI [Qu'elle vous trouve admirable., L'aventure es... \n", "III_VII [Non, il vaut mieux que de ce pas nous allions... \n", "III_VIII NaN \n", "III_IX NaN \n", "IV_Première [Vous êtes, par ma foi, de malheureuses gens l... \n", "IV_II NaN \n", "IV_III NaN \n", "IV_IV NaN \n", "IV_V NaN \n", "IV_VI NaN \n", "IV_VII NaN \n", "V_Première NaN \n", "V_II NaN \n", "V_III NaN \n", "V_IV [Voici un étrange embarras.] \n", "V_V NaN \n", "V_VI NaN \n", "\n", " MAÎTRE JACQUES \\\n", "Premier_Première None \n", "Premier_II None \n", "Premier_III None \n", "Premier_IV None \n", "Premier_V None \n", "II_Première None \n", "II_II None \n", "II_III None \n", "II_IV None \n", "II_V None \n", "III_Première [Châtiment politique., Oui ; le vin pur monte ... \n", "III_II [Morbleu, Monsieur le nouveau venu, qui faites... \n", "III_III [Oui vraiment il y est, je ne le sais que trop.] \n", "III_IV NaN \n", "III_V NaN \n", "III_VI NaN \n", "III_VII NaN \n", "III_VIII NaN \n", "III_IX NaN \n", "IV_Première NaN \n", "IV_II NaN \n", "IV_III NaN \n", "IV_IV [Eh, eh, eh, Messieurs, qu'est-ce ci ? à quoi ... \n", "IV_V NaN \n", "IV_VI NaN \n", "IV_VII NaN \n", "V_Première NaN \n", "V_II [Je m'en vais revenir. Qu'on me l'égorge tout ... \n", "V_III [Oh, oh. Aurais-je deviné sans y penser ?, Écr... \n", "V_IV [Tu me payeras mes coups de bâton.] \n", "V_V [Vous voyez que je ne dis rien.] \n", "V_VI [Hélas ! comment faut-il donc faire ? On me do... \n", "\n", " LA MERLUCHE \\\n", "Premier_Première None \n", "Premier_II None \n", "Premier_III None \n", "Premier_IV None \n", "Premier_V None \n", "II_Première None \n", "II_II None \n", "II_III None \n", "II_IV None \n", "II_V None \n", "III_Première [Quitterons-nous nos siquenilles, Monsieur ?, ... \n", "III_II NaN \n", "III_III NaN \n", "III_IV NaN \n", "III_V NaN \n", "III_VI NaN \n", "III_VII NaN \n", "III_VIII NaN \n", "III_IX [Il vient en courant, et fait tomber Harpagon.... \n", "IV_Première NaN \n", "IV_II NaN \n", "IV_III NaN \n", "IV_IV NaN \n", "IV_V NaN \n", "IV_VI NaN \n", "IV_VII NaN \n", "V_Première NaN \n", "V_II NaN \n", "V_III NaN \n", "V_IV NaN \n", "V_V NaN \n", "V_VI NaN \n", "\n", " BRINDAVOINE \\\n", "Premier_Première None \n", "Premier_II None \n", "Premier_III None \n", "Premier_IV None \n", "Premier_V None \n", "II_Première None \n", "II_II None \n", "II_III None \n", "II_IV None \n", "II_V None \n", "III_Première [Vous savez bien, Monsieur, qu'un des devants ... \n", "III_II NaN \n", "III_III NaN \n", "III_IV NaN \n", "III_V NaN \n", "III_VI NaN \n", "III_VII NaN \n", "III_VIII [Monsieur, il y a là un Homme qui veut vous pa... \n", "III_IX NaN \n", "IV_Première NaN \n", "IV_II NaN \n", "IV_III NaN \n", "IV_IV NaN \n", "IV_V NaN \n", "IV_VI NaN \n", "IV_VII NaN \n", "V_Première NaN \n", "V_II NaN \n", "V_III NaN \n", "V_IV NaN \n", "V_V NaN \n", "V_VI NaN \n", "\n", " MARIANE \\\n", "Premier_Première None \n", "Premier_II None \n", "Premier_III None \n", "Premier_IV None \n", "Premier_V None \n", "II_Première None \n", "II_II None \n", "II_III None \n", "II_IV None \n", "II_V None \n", "III_Première None \n", "III_II None \n", "III_III None \n", "III_IV [Ah ! que je suis, Frosine, dans un étrange ét... \n", "III_V NaN \n", "III_VI [Je m'acquitte bien tard, Madame, d'une telle ... \n", "III_VII [Je puis dire la même chose. C'est une rencont... \n", "III_VIII NaN \n", "III_IX NaN \n", "IV_Première [C'est une douce consolation, que de voir dans... \n", "IV_II NaN \n", "IV_III NaN \n", "IV_IV NaN \n", "IV_V NaN \n", "IV_VI NaN \n", "IV_VII NaN \n", "V_Première NaN \n", "V_II NaN \n", "V_III NaN \n", "V_IV NaN \n", "V_V [Hélas ! à vos paroles, je puis ici répondre, ... \n", "V_VI [Mais vous ne savez pas, que ce n'est pas asse... \n", "\n", " LE COMMISSAIRE \\\n", "Premier_Première None \n", "Premier_II None \n", "Premier_III None \n", "Premier_IV None \n", "Premier_V None \n", "II_Première None \n", "II_II None \n", "II_III None \n", "II_IV None \n", "II_V None \n", "III_Première None \n", "III_II None \n", "III_III None \n", "III_IV None \n", "III_V None \n", "III_VI None \n", "III_VII None \n", "III_VIII None \n", "III_IX None \n", "IV_Première None \n", "IV_II None \n", "IV_III None \n", "IV_IV None \n", "IV_V None \n", "IV_VI None \n", "IV_VII None \n", "V_Première [Laissez-moi faire. Je sais mon métier, Dieu m... \n", "V_II [Ne vous épouvantez point. Je suis Homme à ne ... \n", "V_III NaN \n", "V_IV NaN \n", "V_V NaN \n", "V_VI [Holà, Messieurs, holà.Tout doucement, s'il vo... \n", "\n", " ANSELME \n", "Premier_Première None \n", "Premier_II None \n", "Premier_III None \n", "Premier_IV None \n", "Premier_V None \n", "II_Première None \n", "II_II None \n", "II_III None \n", "II_IV None \n", "II_V None \n", "III_Première None \n", "III_II None \n", "III_III None \n", "III_IV None \n", "III_V None \n", "III_VI None \n", "III_VII None \n", "III_VIII None \n", "III_IX None \n", "IV_Première None \n", "IV_II None \n", "IV_III None \n", "IV_IV None \n", "IV_V None \n", "IV_VI None \n", "IV_VII None \n", "V_Première None \n", "V_II None \n", "V_III None \n", "V_IV None \n", "V_V [Qu'est-ce, Seigneur Harpagon, je vous vois to... \n", "V_VI [Le Ciel, mes Enfants, ne me redonne point à v... " ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df" ] }, { "cell_type": "markdown", "metadata": { "hideCode": false, "hidePrompt": false }, "source": [ "Je génère un dataframe `NW` qui contient le nombre de mots de chaque personnage dans chaque scène." ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [ { "data": { "text/plain": [ "593" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def NWords(Name, Scene):\n", " N=0\n", " if isinstance(df[Name][Scene],list):\n", " for i in range(0,len(df[Name][Scene])):\n", " N+=len(df[Name][Scene][i].split(' '))\n", " return N\n", " \n", "NWords('VALÈRE','Premier_Première') \n" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "hideCode": false, "hideOutput": true, "hidePrompt": false, "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " VALÈRE ÉLISE CLÉANTE HARPAGON LA FLÈCHE MAÎTRE SIMON \\\n", "Premier_Première 593 463 0 0 0 0 \n", "Premier_II 0 150 725 0 0 0 \n", "Premier_III 0 0 0 459 249 0 \n", "Premier_IV 0 158 211 1094 0 0 \n", "Premier_V 666 36 0 268 0 0 \n", "II_Première 0 0 350 0 852 0 \n", "II_II 0 0 126 159 13 186 \n", "II_III 0 0 0 21 0 0 \n", "II_IV 0 0 0 0 281 0 \n", "II_V 0 0 0 520 0 0 \n", "III_Première 245 3 74 729 0 0 \n", "III_II 107 0 0 0 0 0 \n", "III_III 0 0 0 0 0 0 \n", "III_IV 0 0 0 0 0 0 \n", "III_V 0 0 0 100 0 0 \n", "III_VI 0 16 0 66 0 0 \n", "III_VII 5 0 565 172 0 0 \n", "III_VIII 0 0 0 20 0 0 \n", "III_IX 6 0 38 75 0 0 \n", "IV_Première 0 54 229 0 0 0 \n", "IV_II 0 3 12 49 0 0 \n", "IV_III 0 0 383 364 0 0 \n", "IV_IV 0 0 158 148 0 0 \n", "IV_V 0 0 157 120 0 0 \n", "IV_VI 0 0 15 0 40 0 \n", "IV_VII 0 0 0 392 0 0 \n", "V_Première 0 0 0 84 0 0 \n", "V_II 0 0 0 168 0 0 \n", "V_III 600 0 0 429 0 0 \n", "V_IV 19 139 0 120 0 0 \n", "V_V 358 0 0 240 0 0 \n", "V_VI 0 0 125 87 0 0 \n", "\n", " FROSINE MAÎTRE JACQUES LA MERLUCHE BRINDAVOINE MARIANE \\\n", "Premier_Première 0 0 0 0 0 \n", "Premier_II 0 0 0 0 0 \n", "Premier_III 0 0 0 0 0 \n", "Premier_IV 0 0 0 0 0 \n", "Premier_V 0 0 0 0 0 \n", "II_Première 0 0 0 0 0 \n", "II_II 0 0 0 0 0 \n", "II_III 1 0 0 0 0 \n", "II_IV 116 0 0 0 0 \n", "II_V 1448 0 0 0 0 \n", "III_Première 0 734 22 20 0 \n", "III_II 0 184 0 0 0 \n", "III_III 18 11 0 0 0 \n", "III_IV 182 0 0 0 173 \n", "III_V 21 0 0 0 0 \n", "III_VI 7 0 0 0 32 \n", "III_VII 40 0 0 0 215 \n", "III_VIII 0 0 0 18 0 \n", "III_IX 0 0 28 0 0 \n", "IV_Première 395 0 0 0 218 \n", "IV_II 0 0 0 0 0 \n", "IV_III 0 0 0 0 0 \n", "IV_IV 0 292 0 0 0 \n", "IV_V 0 0 0 0 0 \n", "IV_VI 0 0 0 0 0 \n", "IV_VII 0 0 0 0 0 \n", "V_Première 0 0 0 0 0 \n", "V_II 0 317 0 0 0 \n", "V_III 0 11 0 0 0 \n", "V_IV 4 7 0 0 0 \n", "V_V 0 7 0 0 185 \n", "V_VI 0 24 0 0 34 \n", "\n", " LE COMMISSAIRE ANSELME \n", "Premier_Première 0 0 \n", "Premier_II 0 0 \n", "Premier_III 0 0 \n", "Premier_IV 0 0 \n", "Premier_V 0 0 \n", "II_Première 0 0 \n", "II_II 0 0 \n", "II_III 0 0 \n", "II_IV 0 0 \n", "II_V 0 0 \n", "III_Première 0 0 \n", "III_II 0 0 \n", "III_III 0 0 \n", "III_IV 0 0 \n", "III_V 0 0 \n", "III_VI 0 0 \n", "III_VII 0 0 \n", "III_VIII 0 0 \n", "III_IX 0 0 \n", "IV_Première 0 0 \n", "IV_II 0 0 \n", "IV_III 0 0 \n", "IV_IV 0 0 \n", "IV_V 0 0 \n", "IV_VI 0 0 \n", "IV_VII 0 0 \n", "V_Première 103 0 \n", "V_II 151 0 \n", "V_III 0 0 \n", "V_IV 0 0 \n", "V_V 0 378 \n", "V_VI 23 105 " ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Perso = df.columns\n", "NW=pd.DataFrame(index=df.index)\n", "for Name in Perso:\n", " NW[Name]=[NWords(Name,Scene) for Scene in df.index]\n", "NW" ] }, { "cell_type": "markdown", "metadata": { "hideCode": false, "hidePrompt": false }, "source": [ "Je génère un dataframe `NS` qui contient le nombre de répliques de chaque personnage dans chaque scène." ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [], "source": [ "def Nsentences(Name, Scene):\n", " N=0\n", " if isinstance(df[Name][Scene],list):\n", " N=len(df[Name][Scene])\n", " return N" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "hideCode": false, "hideOutput": true, "hidePrompt": false, "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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VALÈREÉLISECLÉANTEHARPAGONLA FLÈCHEMAÎTRE SIMONFROSINEMAÎTRE JACQUESLA MERLUCHEBRINDAVOINEMARIANELE COMMISSAIREANSELME
Premier_Première8800000000000
Premier_II09100000000000
Premier_III000423300000000
Premier_IV0242956000000000
Premier_V244022000000000
II_Première002102000000000
II_II0069150000000
II_III0001001000000
II_IV0000605000000
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III_Première1113400003021000
III_II140000001200000
III_III0000002100000
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III_V0002001000000
III_VI0106002000500
III_VII1023170020001000
III_VIII0002000002000
III_IX2026000040000
IV_Première02100006000600
IV_II0113000000000
IV_III002223000000000
IV_IV00890002100000
IV_V001918000000000
IV_VI0050600000000
IV_VII0005000000000
V_Première0006000000070
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V_III300030000200000
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" ], "text/plain": [ " VALÈRE ÉLISE CLÉANTE HARPAGON LA FLÈCHE MAÎTRE SIMON \\\n", "Premier_Première 8 8 0 0 0 0 \n", "Premier_II 0 9 10 0 0 0 \n", "Premier_III 0 0 0 42 33 0 \n", "Premier_IV 0 24 29 56 0 0 \n", "Premier_V 24 4 0 22 0 0 \n", "II_Première 0 0 21 0 20 0 \n", "II_II 0 0 6 9 1 5 \n", "II_III 0 0 0 1 0 0 \n", "II_IV 0 0 0 0 6 0 \n", "II_V 0 0 0 35 0 0 \n", "III_Première 11 1 3 40 0 0 \n", "III_II 14 0 0 0 0 0 \n", "III_III 0 0 0 0 0 0 \n", "III_IV 0 0 0 0 0 0 \n", "III_V 0 0 0 2 0 0 \n", "III_VI 0 1 0 6 0 0 \n", "III_VII 1 0 23 17 0 0 \n", "III_VIII 0 0 0 2 0 0 \n", "III_IX 2 0 2 6 0 0 \n", "IV_Première 0 2 10 0 0 0 \n", "IV_II 0 1 1 3 0 0 \n", "IV_III 0 0 22 23 0 0 \n", "IV_IV 0 0 8 9 0 0 \n", "IV_V 0 0 19 18 0 0 \n", "IV_VI 0 0 5 0 6 0 \n", "IV_VII 0 0 0 5 0 0 \n", "V_Première 0 0 0 6 0 0 \n", "V_II 0 0 0 19 0 0 \n", "V_III 30 0 0 30 0 0 \n", "V_IV 1 2 0 4 0 0 \n", "V_V 15 0 0 11 0 0 \n", "V_VI 0 0 4 10 0 0 \n", "\n", " FROSINE MAÎTRE JACQUES LA MERLUCHE BRINDAVOINE MARIANE \\\n", "Premier_Première 0 0 0 0 0 \n", "Premier_II 0 0 0 0 0 \n", "Premier_III 0 0 0 0 0 \n", "Premier_IV 0 0 0 0 0 \n", "Premier_V 0 0 0 0 0 \n", "II_Première 0 0 0 0 0 \n", "II_II 0 0 0 0 0 \n", "II_III 1 0 0 0 0 \n", "II_IV 5 0 0 0 0 \n", "II_V 44 0 0 0 0 \n", "III_Première 0 30 2 1 0 \n", "III_II 0 12 0 0 0 \n", "III_III 2 1 0 0 0 \n", "III_IV 5 0 0 0 6 \n", "III_V 1 0 0 0 0 \n", "III_VI 2 0 0 0 5 \n", "III_VII 2 0 0 0 10 \n", "III_VIII 0 0 0 2 0 \n", "III_IX 0 0 4 0 0 \n", "IV_Première 6 0 0 0 6 \n", "IV_II 0 0 0 0 0 \n", "IV_III 0 0 0 0 0 \n", "IV_IV 0 21 0 0 0 \n", "IV_V 0 0 0 0 0 \n", "IV_VI 0 0 0 0 0 \n", "IV_VII 0 0 0 0 0 \n", "V_Première 0 0 0 0 0 \n", "V_II 0 24 0 0 0 \n", "V_III 0 2 0 0 0 \n", "V_IV 1 1 0 0 0 \n", "V_V 0 1 0 0 3 \n", "V_VI 0 1 0 0 1 \n", "\n", " LE COMMISSAIRE ANSELME \n", "Premier_Première 0 0 \n", "Premier_II 0 0 \n", "Premier_III 0 0 \n", "Premier_IV 0 0 \n", "Premier_V 0 0 \n", "II_Première 0 0 \n", "II_II 0 0 \n", "II_III 0 0 \n", "II_IV 0 0 \n", "II_V 0 0 \n", "III_Première 0 0 \n", "III_II 0 0 \n", "III_III 0 0 \n", "III_IV 0 0 \n", "III_V 0 0 \n", "III_VI 0 0 \n", "III_VII 0 0 \n", "III_VIII 0 0 \n", "III_IX 0 0 \n", "IV_Première 0 0 \n", "IV_II 0 0 \n", "IV_III 0 0 \n", "IV_IV 0 0 \n", "IV_V 0 0 \n", "IV_VI 0 0 \n", "IV_VII 0 0 \n", "V_Première 7 0 \n", "V_II 8 0 \n", "V_III 0 0 \n", "V_IV 0 0 \n", "V_V 0 14 \n", "V_VI 2 6 " ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "NS=pd.DataFrame(index=df.index)\n", "for Name in Perso:\n", " NS[Name]=[Nsentences(Name,Scene) for Scene in df.index]\n", "NS" ] }, { "cell_type": "markdown", "metadata": { "hideCode": false, "hidePrompt": false }, "source": [ "Je fais des graphs simples pour visualiser rapidement les données: " ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [ { "data": { "text/plain": [ "Text(0.5,1,'Nombre de répliques par personnage et par scène')" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" }, { "data": { "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "fig = plt.figure()\n", "colors=['steelblue','lightsteelblue','darkorange','peachpuff','mediumseagreen','mediumaquamarine','firebrick','lightcoral','slateblue','thistle','c','powderblue','darkgrey']\n", "NS.plot(style='*', color=colors)\n", "plt.legend(loc='upper center', bbox_to_anchor=(1.5, 1.0), shadow=True, ncol=2)\n", "plt.title('Nombre de répliques par personnage et par scène')" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [ { "data": { "text/plain": [ "Text(0.5,1,'Nombre de mots par personnage et par scène')" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = plt.figure()\n", "NW.plot(style='*', color=colors)\n", "plt.legend(loc='upper center', bbox_to_anchor=(1.5, 1.0), shadow=True, ncol=2)\n", "plt.title('Nombre de mots par personnage et par scène')" ] }, { "cell_type": "markdown", "metadata": { "hideCode": false, "hidePrompt": false }, "source": [ "Je calcule le nombre total de répliques et de mots prononcés par chaque personnage. " ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [ { "data": { "text/plain": [ "VALÈRE 2599\n", "ÉLISE 1022\n", "CLÉANTE 3168\n", "HARPAGON 5884\n", "LA FLÈCHE 1435\n", "MAÎTRE SIMON 186\n", "FROSINE 2232\n", "MAÎTRE JACQUES 1587\n", "LA MERLUCHE 50\n", "BRINDAVOINE 38\n", "MARIANE 857\n", "LE COMMISSAIRE 277\n", "ANSELME 483\n", "dtype: int64" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "NW.sum(axis=0)" ] }, { "cell_type": "markdown", "metadata": { "hideCode": false, "hidePrompt": false }, "source": [ "Du plus silencieux au plus bavard:" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "hideCode": false, "hidePrompt": false, "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "BRINDAVOINE 38\n", "LA MERLUCHE 50\n", "MAÎTRE SIMON 186\n", "LE COMMISSAIRE 277\n", "ANSELME 483\n", "MARIANE 857\n", "ÉLISE 1022\n", "LA FLÈCHE 1435\n", "MAÎTRE JACQUES 1587\n", "FROSINE 2232\n", "VALÈRE 2599\n", "CLÉANTE 3168\n", "HARPAGON 5884\n", "dtype: int64" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "NW.sum(axis=0).sort_values()" ] }, { "cell_type": "markdown", "metadata": { "hideCode": false, "hidePrompt": false }, "source": [ "C'est donc Harpagon qui prononce le plus de mots, et Brindavoine qui en prononce le moins. Je fais pareil avec les répliques:" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "hideCode": false, "hidePrompt": false, "scrolled": false }, "outputs": [ { "data": { "text/plain": [ "BRINDAVOINE 3\n", "MAÎTRE SIMON 5\n", "LA MERLUCHE 6\n", "LE COMMISSAIRE 17\n", "ANSELME 20\n", "MARIANE 31\n", "ÉLISE 52\n", "LA FLÈCHE 66\n", "FROSINE 69\n", "MAÎTRE JACQUES 93\n", "VALÈRE 106\n", "CLÉANTE 163\n", "HARPAGON 376\n", "dtype: int64" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "NS.sum(axis=0).sort_values()" ] }, { "cell_type": "markdown", "metadata": { "hideCode": false, "hidePrompt": false }, "source": [ "De façon rassurante, en ne comptant que les répliques, on tombe sur un ordre très similaire. J'ai vérifié manuellement que Brindavoine n'a bien que 3 répliques, et Maître Simon 5, c'est bon. " ] }, { "cell_type": "markdown", "metadata": { "hideCode": false, "hidePrompt": false }, "source": [ "# Question 2\n", "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 (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": { "hideCode": false, "hidePrompt": false }, "source": [ "Pour calculer les hauteurs de chaque rectangle:" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [ { "data": { "text/plain": [ "Premier_Première 1056\n", "Premier_II 875\n", "Premier_III 708\n", "Premier_IV 1463\n", "Premier_V 970\n", "II_Première 1202\n", "II_II 484\n", "II_III 22\n", "II_IV 397\n", "II_V 1968\n", "III_Première 1827\n", "III_II 291\n", "III_III 29\n", "III_IV 355\n", "III_V 121\n", "III_VI 121\n", "III_VII 997\n", "III_VIII 38\n", "III_IX 147\n", "IV_Première 896\n", "IV_II 64\n", "IV_III 747\n", "IV_IV 598\n", "IV_V 277\n", "IV_VI 55\n", "IV_VII 392\n", "V_Première 187\n", "V_II 636\n", "V_III 1040\n", "V_IV 289\n", "V_V 1168\n", "V_VI 398\n", "dtype: int64" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Height = NW.sum(axis=1)\n", "Height" ] }, { "cell_type": "markdown", "metadata": { "hideCode": false, "hidePrompt": false }, "source": [ "Je transforme ensuite le nombre de mots en pourcentage:" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "hideCode": false, "hideOutput": true, "hidePrompt": false, "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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VALÈREÉLISECLÉANTEHARPAGONLA FLÈCHEMAÎTRE SIMONFROSINEMAÎTRE JACQUESLA MERLUCHEBRINDAVOINEMARIANELE COMMISSAIREANSELME
Premier_Première0.5615530.4384470.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
Premier_II0.0000000.1714290.8285710.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
Premier_III0.0000000.0000000.0000000.6483050.3516950.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
Premier_IV0.0000000.1079970.1442240.7477790.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
Premier_V0.6865980.0371130.0000000.2762890.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
II_Première0.0000000.0000000.2911810.0000000.7088190.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
II_II0.0000000.0000000.2603310.3285120.0268600.3842980.0000000.0000000.0000000.0000000.0000000.0000000.000000
II_III0.0000000.0000000.0000000.9545450.0000000.0000000.0454550.0000000.0000000.0000000.0000000.0000000.000000
II_IV0.0000000.0000000.0000000.0000000.7078090.0000000.2921910.0000000.0000000.0000000.0000000.0000000.000000
II_V0.0000000.0000000.0000000.2642280.0000000.0000000.7357720.0000000.0000000.0000000.0000000.0000000.000000
III_Première0.1341000.0016420.0405040.3990150.0000000.0000000.0000000.4017520.0120420.0109470.0000000.0000000.000000
III_II0.3676980.0000000.0000000.0000000.0000000.0000000.0000000.6323020.0000000.0000000.0000000.0000000.000000
III_III0.0000000.0000000.0000000.0000000.0000000.0000000.6206900.3793100.0000000.0000000.0000000.0000000.000000
III_IV0.0000000.0000000.0000000.0000000.0000000.0000000.5126760.0000000.0000000.0000000.4873240.0000000.000000
III_V0.0000000.0000000.0000000.8264460.0000000.0000000.1735540.0000000.0000000.0000000.0000000.0000000.000000
III_VI0.0000000.1322310.0000000.5454550.0000000.0000000.0578510.0000000.0000000.0000000.2644630.0000000.000000
III_VII0.0050150.0000000.5667000.1725180.0000000.0000000.0401200.0000000.0000000.0000000.2156470.0000000.000000
III_VIII0.0000000.0000000.0000000.5263160.0000000.0000000.0000000.0000000.0000000.4736840.0000000.0000000.000000
III_IX0.0408160.0000000.2585030.5102040.0000000.0000000.0000000.0000000.1904760.0000000.0000000.0000000.000000
IV_Première0.0000000.0602680.2555800.0000000.0000000.0000000.4408480.0000000.0000000.0000000.2433040.0000000.000000
IV_II0.0000000.0468750.1875000.7656250.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
IV_III0.0000000.0000000.5127180.4872820.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
IV_IV0.0000000.0000000.2642140.2474920.0000000.0000000.0000000.4882940.0000000.0000000.0000000.0000000.000000
IV_V0.0000000.0000000.5667870.4332130.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
IV_VI0.0000000.0000000.2727270.0000000.7272730.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
IV_VII0.0000000.0000000.0000001.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
V_Première0.0000000.0000000.0000000.4491980.0000000.0000000.0000000.0000000.0000000.0000000.0000000.5508020.000000
V_II0.0000000.0000000.0000000.2641510.0000000.0000000.0000000.4984280.0000000.0000000.0000000.2374210.000000
V_III0.5769230.0000000.0000000.4125000.0000000.0000000.0000000.0105770.0000000.0000000.0000000.0000000.000000
V_IV0.0657440.4809690.0000000.4152250.0000000.0000000.0138410.0242210.0000000.0000000.0000000.0000000.000000
V_V0.3065070.0000000.0000000.2054790.0000000.0000000.0000000.0059930.0000000.0000000.1583900.0000000.323630
V_VI0.0000000.0000000.3140700.2185930.0000000.0000000.0000000.0603020.0000000.0000000.0854270.0577890.263819
\n", "
" ], "text/plain": [ " VALÈRE ÉLISE CLÉANTE HARPAGON LA FLÈCHE \\\n", "Premier_Première 0.561553 0.438447 0.000000 0.000000 0.000000 \n", "Premier_II 0.000000 0.171429 0.828571 0.000000 0.000000 \n", "Premier_III 0.000000 0.000000 0.000000 0.648305 0.351695 \n", "Premier_IV 0.000000 0.107997 0.144224 0.747779 0.000000 \n", "Premier_V 0.686598 0.037113 0.000000 0.276289 0.000000 \n", "II_Première 0.000000 0.000000 0.291181 0.000000 0.708819 \n", "II_II 0.000000 0.000000 0.260331 0.328512 0.026860 \n", "II_III 0.000000 0.000000 0.000000 0.954545 0.000000 \n", "II_IV 0.000000 0.000000 0.000000 0.000000 0.707809 \n", "II_V 0.000000 0.000000 0.000000 0.264228 0.000000 \n", "III_Première 0.134100 0.001642 0.040504 0.399015 0.000000 \n", "III_II 0.367698 0.000000 0.000000 0.000000 0.000000 \n", "III_III 0.000000 0.000000 0.000000 0.000000 0.000000 \n", "III_IV 0.000000 0.000000 0.000000 0.000000 0.000000 \n", "III_V 0.000000 0.000000 0.000000 0.826446 0.000000 \n", "III_VI 0.000000 0.132231 0.000000 0.545455 0.000000 \n", "III_VII 0.005015 0.000000 0.566700 0.172518 0.000000 \n", "III_VIII 0.000000 0.000000 0.000000 0.526316 0.000000 \n", "III_IX 0.040816 0.000000 0.258503 0.510204 0.000000 \n", "IV_Première 0.000000 0.060268 0.255580 0.000000 0.000000 \n", "IV_II 0.000000 0.046875 0.187500 0.765625 0.000000 \n", "IV_III 0.000000 0.000000 0.512718 0.487282 0.000000 \n", "IV_IV 0.000000 0.000000 0.264214 0.247492 0.000000 \n", "IV_V 0.000000 0.000000 0.566787 0.433213 0.000000 \n", "IV_VI 0.000000 0.000000 0.272727 0.000000 0.727273 \n", "IV_VII 0.000000 0.000000 0.000000 1.000000 0.000000 \n", "V_Première 0.000000 0.000000 0.000000 0.449198 0.000000 \n", "V_II 0.000000 0.000000 0.000000 0.264151 0.000000 \n", "V_III 0.576923 0.000000 0.000000 0.412500 0.000000 \n", "V_IV 0.065744 0.480969 0.000000 0.415225 0.000000 \n", "V_V 0.306507 0.000000 0.000000 0.205479 0.000000 \n", "V_VI 0.000000 0.000000 0.314070 0.218593 0.000000 \n", "\n", " MAÎTRE SIMON FROSINE MAÎTRE JACQUES LA MERLUCHE \\\n", "Premier_Première 0.000000 0.000000 0.000000 0.000000 \n", "Premier_II 0.000000 0.000000 0.000000 0.000000 \n", "Premier_III 0.000000 0.000000 0.000000 0.000000 \n", "Premier_IV 0.000000 0.000000 0.000000 0.000000 \n", "Premier_V 0.000000 0.000000 0.000000 0.000000 \n", "II_Première 0.000000 0.000000 0.000000 0.000000 \n", "II_II 0.384298 0.000000 0.000000 0.000000 \n", "II_III 0.000000 0.045455 0.000000 0.000000 \n", "II_IV 0.000000 0.292191 0.000000 0.000000 \n", "II_V 0.000000 0.735772 0.000000 0.000000 \n", "III_Première 0.000000 0.000000 0.401752 0.012042 \n", "III_II 0.000000 0.000000 0.632302 0.000000 \n", "III_III 0.000000 0.620690 0.379310 0.000000 \n", "III_IV 0.000000 0.512676 0.000000 0.000000 \n", "III_V 0.000000 0.173554 0.000000 0.000000 \n", "III_VI 0.000000 0.057851 0.000000 0.000000 \n", "III_VII 0.000000 0.040120 0.000000 0.000000 \n", "III_VIII 0.000000 0.000000 0.000000 0.000000 \n", "III_IX 0.000000 0.000000 0.000000 0.190476 \n", "IV_Première 0.000000 0.440848 0.000000 0.000000 \n", "IV_II 0.000000 0.000000 0.000000 0.000000 \n", "IV_III 0.000000 0.000000 0.000000 0.000000 \n", "IV_IV 0.000000 0.000000 0.488294 0.000000 \n", "IV_V 0.000000 0.000000 0.000000 0.000000 \n", "IV_VI 0.000000 0.000000 0.000000 0.000000 \n", "IV_VII 0.000000 0.000000 0.000000 0.000000 \n", "V_Première 0.000000 0.000000 0.000000 0.000000 \n", "V_II 0.000000 0.000000 0.498428 0.000000 \n", "V_III 0.000000 0.000000 0.010577 0.000000 \n", "V_IV 0.000000 0.013841 0.024221 0.000000 \n", "V_V 0.000000 0.000000 0.005993 0.000000 \n", "V_VI 0.000000 0.000000 0.060302 0.000000 \n", "\n", " BRINDAVOINE MARIANE LE COMMISSAIRE ANSELME \n", "Premier_Première 0.000000 0.000000 0.000000 0.000000 \n", "Premier_II 0.000000 0.000000 0.000000 0.000000 \n", "Premier_III 0.000000 0.000000 0.000000 0.000000 \n", "Premier_IV 0.000000 0.000000 0.000000 0.000000 \n", "Premier_V 0.000000 0.000000 0.000000 0.000000 \n", "II_Première 0.000000 0.000000 0.000000 0.000000 \n", "II_II 0.000000 0.000000 0.000000 0.000000 \n", "II_III 0.000000 0.000000 0.000000 0.000000 \n", "II_IV 0.000000 0.000000 0.000000 0.000000 \n", "II_V 0.000000 0.000000 0.000000 0.000000 \n", "III_Première 0.010947 0.000000 0.000000 0.000000 \n", "III_II 0.000000 0.000000 0.000000 0.000000 \n", "III_III 0.000000 0.000000 0.000000 0.000000 \n", "III_IV 0.000000 0.487324 0.000000 0.000000 \n", "III_V 0.000000 0.000000 0.000000 0.000000 \n", "III_VI 0.000000 0.264463 0.000000 0.000000 \n", "III_VII 0.000000 0.215647 0.000000 0.000000 \n", "III_VIII 0.473684 0.000000 0.000000 0.000000 \n", "III_IX 0.000000 0.000000 0.000000 0.000000 \n", "IV_Première 0.000000 0.243304 0.000000 0.000000 \n", "IV_II 0.000000 0.000000 0.000000 0.000000 \n", "IV_III 0.000000 0.000000 0.000000 0.000000 \n", "IV_IV 0.000000 0.000000 0.000000 0.000000 \n", "IV_V 0.000000 0.000000 0.000000 0.000000 \n", "IV_VI 0.000000 0.000000 0.000000 0.000000 \n", "IV_VII 0.000000 0.000000 0.000000 0.000000 \n", "V_Première 0.000000 0.000000 0.550802 0.000000 \n", "V_II 0.000000 0.000000 0.237421 0.000000 \n", "V_III 0.000000 0.000000 0.000000 0.000000 \n", "V_IV 0.000000 0.000000 0.000000 0.000000 \n", "V_V 0.000000 0.158390 0.000000 0.323630 \n", "V_VI 0.000000 0.085427 0.057789 0.263819 " ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "NW_percent=NW.div(Height, axis=0)\n", "NW_percent" ] }, { "cell_type": "markdown", "metadata": { "hideCode": false, "hidePrompt": false }, "source": [ "Je vais avoir besoin du nombre total de mots:" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [ { "data": { "text/plain": [ "19818" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "NWtot=Height.sum()\n", "NWtot" ] }, { "cell_type": "markdown", "metadata": { "hideCode": false, "hidePrompt": false }, "source": [ "Il reste à faire une jolie figure avec tout ça..." ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "hideCode": false, "hidePrompt": false, "scrolled": false }, "outputs": [ { "data": { "text/plain": [ "Text(0.3,1.02,\"L'Avare de Molière\")" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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iSwgBvV6PWbNmXTdVKgDlxT4AqNVqu5NKaoJt27Z5mpbX6N+/fyagLGVSr169YgCYP39+ufdh7ty5pcfHjBmTVplYli5d6puRkeEKAJ07d86OiIgosadfZGRkSadOnbIBIDU11W3FihXXRZUQV1dXCQCZmZmuaWlp1btOSSUxoYKIiIiIiIiIiIiIiIiIbmr33HNPYVRUVCEAzJ49+6oX66bvIiMji+65555CR8ZeuHBhEADExMRoo6KiLgFAdHT0pebNm2uBy5UvrgepqanqrKwsNQDUrVv3krPjccSsWbOCAMDDw8MwaNCgHNP38fHxWQCwdetW33PnzpVZLWTPnj0+AODp6Wno1q1bfmVi2bx5s49p+5FHHskpr62l7t27l7Y3H6cma9q0aQEASCkxZMiQ8Nzc3OsmT+G6KR9DRERERERERERERERERHSt9O3bN3PSpEn1li1bppkxY8ZZUyUGg8GAZcuWBZraODLm7t27PVNSUjwBoF+/fv0V6xkAACAASURBVFf07devX+bevXu9U1JSPHfv3u0ZGxvrUKKGM0yaNClUSqUwRY8ePbLt6bNnz56rKn5YCgoK0jdq1MiuKg0VUVJSgpUrVwYCQKdOnXL8/PxKl98YMWJE5vTp0+vodDoxe/bswLfeeuuCZf+TJ0+6mhJJbr311kK1unKv2Q8ePOhp2m7dunWBI33N2x84cMCrUoE4KDk52SMvL6/cZAgfHx/DrbfeekWyzejRoy+sXLlSYzAY8L///c+/Xr16d3bs2DG3bdu22nvuuUcbGxtb6Orqem2DryAmVBARERERERERERERERHRTe/xxx/P+vDDD+ulpaW5rl271qd79+75ALBmzRqf8+fPu7m4uGDEiBGOLvehAQA3Nzc5dOjQKxIQhg0blv3mm282uHTpkkhISNDExsb+V3VnU3WysrJcDh486PHZZ5+FmpISGjZsWPzKK69clXhgTWxsbBNbbeLi4jKXLl16spKhlmnJkiV+poSIQYMGXXEP77zzzuKmTZsWHDx40GvRokUaawkVaWlppe/Vg4KCKp34kZ2dXZo9UK9ePYfGCwsL05m2TedUXeLj46NstWnZsqV29+7dKebfdejQoWDKlCmnXnvttQY6nU5otVrVypUrA03Pk6enp6FZs2bauLi47CeffDLL19fXYH306nfdlNIgIiIiIiIiIiIiIhJCqIQQrwgh3hVC9HN2PHR9EEI8a3xmnnZ2LERUczVq1KikVatW+QDw/fffly7DYdqOjY3Nj4iIsPvlt06nw4oVKwIBoH379rlBQUF68+NBQUH6du3a5QLAihUrAnU6nbVhqt2yZcs0QogY00ej0TRr167dbStXrgwUQqBDhw65v/76a0pwcLDe9mg1w/z58zUAEBgYqOvdu3ee5fHHHnssEwCSk5O99u3bd1VFDfMlKry8vCr9sr+goKB0PEeTB3x9fUuve35+vqqysVSXl156KWPXrl2Hevfunenp6XnFORcWFrps377dd9y4cQ0jIyObLlmyxNdZcVpihQoiIiIiIiIiIiIium5IKfVCiLMAFgDQCyFOSSl3ODsuqvGSAUwHoBZCZEopf3R2QERUMw0YMCBzx44dPuvWrQvQarWnAGD9+vX+ANC/f3+HqlMsW7bMNz093RUABg4caLXvwIEDMzdu3Oifnp7uunLlSt/4+PirXvbXJCEhISUvvfTSeUeW55BS7r2WMdmSkZGh2rRpkz8A9OjRI8va0hLDhw/Pevfdd+vp9Xoxa9YsTfPmzc+aHzdfIsQ8GaKiatWqVZoUkZubq9JoNHYnp+Tm5pYmUbi5ucnKxuKIw4cP/924ceNLtlta17x586Jly5adLCwsPLV58+Za27dvr3XgwAGvXbt2+aSlpbkCQHp6umu/fv2ilixZcqRXr175VRd9xbBCBRERERERERERERFdV6SUiQA+A6ACMF8IUcvJIZGTCCGGCSGk8RNeVjsp5WYAY4273wgh6lZHfER0/Rk8eHC2h4eH4eLFiy5JSUn+iYmJAVqtVuXh4WEYPHhwtu0RLjNVRfDx8dH37ds311qbvn375vr4+OgBYN68eRprbapbx44dc3bv3p28e/fu5J07dx5asmTJ0aeffvq8l5eXIS0tzTU+Pj56/fr13s6O015z5swJuHTpkgCAYcOGWU1sCQsL091zzz15ALB06VKNXn9lfkNoaGhp+ZCMjIyrMzIcFBAQUDref//951ARhLNnz5a2Nx8HAIQQDidYSHm5S0X6V4Snp6d86KGHtBMnTkxbuXLlifPnz/+1cuXKI5GRkUUAoNfrMWbMmIYGg/NX/mBCBREREREREREREdVIQoh7zV6USiHE/c6OyRmEEOFm12BuGW1OGo+fLOP4XHteOtsZT5gQ4h0hxFYhRLoQ4pIQIksIcVgI8asQYrIQ4iEhhE9l5rHDKwB+BhABYOo1nstpzO6t5UcnhMgUQuw0XvNbnB1rTSelnAFgDoBAAHOEEMLJIRFRDeTn52fo3LlzDgAkJSVpkpKSAgHgwQcfzAkICLD77W5WVpbLzz//7A8oyzJ4eno2N19Gw/Tx8vJqblq2YePGjf7Z2dlOf3/r5+enb9myZVHLli2LWrVqVRgfH5/39ddfn12/fn2Kh4eHobi4WAwfPrxRVlaW02O1x8KFC4NM2+3bt7/N2n0QQsRs2bLFDwDS0tJcV69efcX/jwkPDy8xJS8cPnzYs7LLszRp0qTQtL1r1y4vR/ru3LmzNJE0Kiqq0PyY+XIk9lbSuHjxYmk7Hx8fp2Uw9OjRI//nn38+4ufnpweAU6dOue/YscPTWfGYXBcPOREREREREREREd2UhtjYr3IWyQvDrvV81xshxHAAKQDeBXAvgCAArgACADQG0B7AqwDWAZh5LWORUuoBPAbgBIAnhRCPXMv5aiAVlMSAVlCu+SEhxFPODem68AyA3QA6Axjl5FiIqIYaOnRoJgD8/vvvvtu2bfMFgMGDBzu03MfcuXMDi4qKHHoXW1RU5PL9998HONKnOt13330F48aNOwcA58+fd5swYUJtZ8dky8GDB93379/vcCUra9VCYmNj8wGgsLDQZe3atZVKHG3Xrl3pUharVq3yd6Tv6tWr/Uzb9913n9b8WHBwcGlpjbS0NLsqX5iW2gCAoKCgymWKVFLDhg1LOnTokGPaT0lJ8XBmPADgUPkQIiIiIiIiIiIiouoghHAH8KhxVwvAG8CjQojRUsrCsnvStSKE6AtgFgABoAjKL/03APjP+F1dAC0AdAPQvDpiklJmCSF6AdgOIEEIcYeUMr065naCcwC6mO2rAdQH0A/AAADuAL4WQpyWUq5zQnxOIaWcC2CuA+2LhRBxAP4AMEUI8bOU8vA1Co+IrlM9evTICw4OLklPT3cFAI1Go4uLi8tzZIykpCQNAAQHB5e8//77Z2y1f/fdd+ulpqa6JSUlaV544QWHkjeq0xtvvHFh5syZoWlpaa4zZ84Mfe211y7UqVPHqS/hy5OQkFCaGPHRRx+d9vf3LzfWBQsWBG3dutV3w4YNAXl5ead9fX1LKzYMGzYsc8OGDQEAMG3atNAePXrklz1S+eLj4/PGjBlTkpGR4bpx48aA48eP/xcREVFiq9+xY8dcN27cGAAAHh4ehj59+lyxlMytt95a7OXlZSgoKHA5ePCgXYkkBw8e9AKAWrVqGRo3bnypIudTlerUqVN6HVxcXKplCZLyMKGCiIiIiIiIiIiIaqKeAEy/1nsByot8X+P3i5wV1M1KCKECMA1K4kQ+gHullH9ZafoTgPFCiNsA3FEdsRnjuG7Wca+EEinlQYvv/gSwSgixF8CnUO7Pe1AqhFAZpJRnAdRxdhxEVHOp1WrEx8dnzp49OxQA4uLiMtVq+1+rHj582G3fvn3eANC1a9fskSNHZtvq88cff9SaOXNm6J49e3yOHj3qFhUV5fQX29Z4enrK0aNHn3/rrbfqFxYWunzwwQehM2bMOOvsuKwxGAxYsmSJBlCWxnjllVdsJl36+PgYtm7d6ltQUOAyf/58/1GjRmWZjvXt2zd3woQJhYcPH/b89ddf/b766qvAZ599Nqu88UzmzZvn37t37zxTgoaHh4d8+umn095///16xcXF4vHHH2+4adOmYyqVqswx9Ho9nnjiiYbFxcUCAPr3758RFBSkN2+jVqvRqlWr/F9//dXv2LFjHjt27PBs06ZNmcnIv//+u9e///7rAQCtWrXKK2/+yjAYDHBxsa9gy59//lmaCBIZGen0fwdc8oOIiIiIiIiIiIhqoqHGv4eklLMBHDLuX/NlP8iqWFx+Af1tGckUpaSU/0gpF1/7sMhoGoDTxu0YIUSIM4MhIroRfP3112eLi4v3FRcX7/vuu+/+c6RvQkKCRkrlh/V9+/a1mUwBAI899lg2AEgpkZCQEOhwwNXoxRdfTA8KCioBgLlz5wZnZmZem7fwlbRhwwbvs2fPugFA9+7d7boPvXv3zvP29tYDQGJi4hXLfri4uGD+/Pn/enh4GADg+eefD588eXKwXq+3NhQAIDU1VT106ND6w4YNi7h06ZIwP/bOO++kNWvW7CIAbN682S8uLq5Rbm6u1ff3eXl5LnFxcY02b97sBwAhISElH3/88TlrbUeNGnXBtD1y5MjwrKwsq2NmZmaqnnrqqYam/dGjR1+w1q4qdOnSJWLy5MnBeXl55eYnfP7555odO3b4AECdOnUutW3btuBaxWQvVqggIiIiIiIiIiKiGsX4MrizcXeB8W8igEkAOgshQqWUaXaOdQ+A4QDug5IQ4AJliYrDAJYBWCGlzDO2tSwpPEcIMcfiuwlSynetzNMYwCgAHQHUA+AGIBXAZgAzpJT77Im3Bmtotn2sKgYUQgQDeAbKMhZRAPwAXICSGLABwA9SypQy+qqhJN3EA7gbQBCUyhn/AFgB4Gsp5cUy+v4GoB2AzVLK9kKIMAAvAegBIAxAAZTlIKbZs3SGECIAyr3vZjwPHwCZAPYAmCelXGZrjMqSUhqEEHsANDB+1QDKtYQQoj2AX43fdwCwBcAwAIMB3A4gGMD3Usph5mMKIQSU69sfSkJNMIBCAEcBrILyXOfACiHEXCj355SUMlwIURvAOCjXuB6AbADboPx7SjbrFw5gLICHoCxnkgfgZwDjpZTHy5hrGJTlZwCgkZTyZBntrJ1PEZTneQ2Az6WUVkvsWzmfOgDGAHgEyrX2BtBBSvmbRT+nPxtE5Bw//vijBgACAwN1Dz30kNaePh06dLgYGhpakpaW5rp48WLNRx99dP7aRllxXl5e8plnnkl777336mm1WtXkyZNDPv7449Sy2u/Zs8fDnnEjIyMvBQQEGGy3tM+cOXNKEyL69etnV0KFh4eH7NChQ+6qVasCd+3a5XvixAnXRo0alS5B0aJFi6J58+YdHz58eERBQYHL66+/3mD27NnBvXr1ym7VqtXF0NBQnVardTlx4oTbxo0bfTdu3Oiv1WqtJpyo1WosW7bseOfOnaOOHj3q+dNPPwU2btzYZ8CAARn3339/fnBwsC49PV29detW76SkpKDz58+7AcrSHEuWLDmm0WisZnLEx8fn9erVK3PFihWagwcPet1+++1NR4wYcaFt27YXAwMDdVlZWert27fXmj17dkhaWporADz66KMZvXr1srmESXJysoetpAgAqF+/fknt2rVL40tNTXV7/fXXG7z33nv1HnjggZz77rtPe9tttxVpNBpdYWGhS3JysseyZcsCTAkjQgh8+OGHZ+ytanEtMaGCiIiIiIiIiIiIapqBUP7bpYSSSAHj3/cBqIzHPytvACGEJ5RlQvpbOdzY+OkJYAKAdysTrBDibQDjcfV/b21k/AwVQrwnpXynMvM4mXm55dsqO5gQYiCAbwFYru1dz/hpC2AEgHArfSOgLC1yu8WhQAD3GD+jhBDdrSyRYTnWvVASMMx/geoBJaGnsxDiZSnlJ+X0fxjKs+lvcagOlOSBHkKINQD6SSnteqFWCeZrwpf1S2EPKMkqD5Y3kDHZZTmUa2nOHUBL42eUEKKnlHKXjbHuArAeQG2zrz0BPAqgmxCii5TydyHEA1CSnPws4h0AoKsQ4j7z5AtH2DifGONnlBAiXkq52cZYraEklATZaFeTng0iqkb/+9//ap0+fdodALp06ZJt7xIKLi4u6Nq1a/bcuXNDTp486fHLL7/UeuCBB6wmB9YE48aNS58xY0btnJwcdUJCQshbb72V5ufnZzUZIjY2tok9Y37//ffHBw8ebDVZzx7mybFarVasW7cuAADCw8OLWrZsWWTvOH369MletWpVoMFgQEJCgmbSpElXJLf07ds3r2HDhoefffbZBvv27fM+evSo58cff+xZ1nj+/v66cePGpQYEBFyVABEeHl6yffv2lCeeeKLBTz/9FJiWluY6derUOlOnTrW6NNUtt9xS9MMPPxxv0aJFueezcOHCUyNGjDAsXLgwOC0tzfXDDz8MK6vtgAED0mfPnn2mvPFM4uPjo+xpN2HChDPjx48vrXhRu3btS8nJyV4FBQUuq1evDly9enWZVVi8vb31kydPPj106NAKPwtVyfkpHURERERERERERERXMi33sVVKeRoApJSnAPxu/L7cZT+EEC4AVuJyMsVRAC9CqVIRA+VX5R/g6koLd0CplmDylvE7889XFnNNBDARSjLFdgBPAGgDoAWUxI8dAASA8UKI0eWfdo2232z7KePL7woRQgyBUnmkFpQKATMAPAygOYD7ATwH5aX/VS8djJUBtkFJpsgH8CmArsa+HQB8CKXCRDiAdUKI8l5614Hykl0P4DUA90KpXDAWgOk/4H8ohLD6EkgI0QlKYoc/gJMAXgXQ3hhLd1yurtINwLxy4qgqd5ptWy0BDuAjKMkUPwGIg/Lv4WEApZU4hBC1oFRWuQdKIs23UJKPmkP5N/QmlCoLoVCusXn1EkteUK6xG4A3jGO2hpLEdMl4fL4QItLYLh/AC8Y29wKYCiWxKgBKgpTDHDgfDYBVQojocobzBrAUSqLHJCj3OxbA41Aq0pjmrGnPBhFVo7lz55b+b8+jjz7q0Ath8+VBzKsr1ES+vr6Gp556Kg0AcnJy1J988kmwM+IwX0bDy8urNKEjMTExwFQZ4pFHHnHoPsTFxeV6enoaAGDx4sVW70OrVq0K9+7dm7Jy5cojw4YNu3DrrbcWBgYG6lQqlfT29taHh4cX9ejRI+ubb745cfbs2b/efPPNC2Ul1wQFBelXrFhxYtu2bYeefvrp87fffntBQECAzrI6Q6dOnXIOHTp0yFYyBaBU2khKSjq9ffv2Q0OGDLkQHR1d6Ovrq1epVNLHx0cfHR1dOGTIkAvbt28/lJiYeNrd3d2yUluV+vnnn4//+eefB997770zDz/8cHZkZGSRt7e3XqVSwdPT01CnTp1L7dq1y504ceKZI0eOHBw1alTWtYzHEcK0fs81UA/AGQAYOG0TMvLtTvohcopnH1AS2nvuvMXJkVSxHhucHQERERFVo9ykHc4OgYiIiJzkjSPdK9z3+SctiwTYpnZXI6JNhGm3PpRlNCpNCHEHgL+MuyOllDPNjo2E8jIUAO6UUv5dxhgvAJhm3F0OoL+UsthKOxcAtaWU58y+Cwdwwrg7XEo5t5xYWwLYCeWHa+9LKd8uY455AAZBeVncoKxlEsqZxzymeZZLMxjbnISyLMcpKWW4leNzcTlRpcxlEWzEsQpKMorJH1AqD+wCsEtKmW7HGHWhJLh4QVmSomNZVSSEEPWklP9ZfGeK4QyA9lLKf630aw5lWYtaAKZKKcdaHP8NypIfAHAKwD1SyrMWbe41jiGgLAXxgsXxWgCOQ0kq+B+A3lLKq9b4FkI8CeA74+6DUspN1s61PLburbFNbyjVHQDgXyllhNmx9ri85AcAvCelHF/OfDOgJLXkGmP+w0qbhlCSheoAWCClHGxxfC4uP28ZAFpbLtkhhHgWwJfG3XQoSSz3WD5HQogpAF427jaXUu63OD4M5Sz54cD57IRSRWO5lDKunPPRArhXSnnAchxj22p7NujGs3fv3rVqtfp2Dw8P/8aNG1fJ8kpEN7qZM2cGjBw58hYA+PTTT0+NHTs2w9kxVaX09HRVbGzsrSdPnvRQq9Vy0aJFx+Lj4/OcHVdNlpKSEllUVJSj0+kOxcTEPFzZ8VihgoiIiIiIiIiIiGoS00vLYgA/WhxbbPzevN0VjAkMppevZwEMsZZMAQBSSoN5MkUFvArlv7HuhbLkh9U5AIw2xu0DoE8l5nO24VCSKExaQKnisQrABSFEihBihjGhoSyjoSRTAMBT5S3JYSWZoikuJ3Q8Zy2ZwthvHy5XEhkshBDW2pnisUymMI7xO5REEUCpYmBpOJQX5kUABlt7YW4cZyaA3WZ9qowQQiWECBdCvA4gyezQlHK6HYGyzE1ZYwZBqbICAOOtJR8ApRVj3jPuPiaE8LLWzuhty2QKozlQrh8ABEO5F9aScr4227Z2L8pUwfPpKYTws9bOaEpZyRRGTn82iIhuJsnJyaVLbTRp0uSG+4V/cHCwfvXq1cf8/f11Op1ODB48OGLz5s3l/e8uVTEmVBAREREREREREVGNIIRQARhg3F1jWcnBuL/WuDvA2N7S3QBMa0TPlFJqr1GsrlCWmgCAJbKcUsDGuE3VNNpci3iqg5QyA0BbAM/gchURc9FQKgHsFULMN/5S31I3498TUJZlcURP498CAGtstN1i/BsEoFEZbXJsjLPX+NdaSVtTLJullBesHLcWS2XvfUMhhDR9AOigXMcPoCxBAQBfSym/LXME4Acp5VVLqZjpYjbWYhvxmM7LFcrSIdbIssaRUhZCqVYCANlQqjlYa3cCSnUXwPq9KE9FzscFZZ8PACTaGMcZzwYR0U2psLBQLF++PBAAvL299ffdd99FZ8d0LTRp0qT4hx9+OObm5iYLCwtdevfuHfX333+7Ozuum4Xa2QEQERERERERERERGXWGsoQAACwoo80CAL2N7R4EYLneaTOz7S24dm7H5UoLHwohPrSzX+1rFE+1kFKWAPgGwDdCiAYA7gXQHEAsgNZQXq4DyhIndYUQnU0v8I1JKE2Nx7eWl4RShhbGv14AissvPAHzgyEArFWzOGqsIFIW09rdPuXE0sWY3GCPa3XvtQC2ApghpVxno621RBhzLcy2U21cY3NlnVuGlLK8NdBNSVPHbDwPOVDug7V7UR7z8/nPgfMJKeN7bVmVUazMWROeDSKiG8758+dVJ06ccDt+/Lj71KlTQ0+fPu0OAP369cvw8vJy9P9bXDc6d+58MSkp6di2bdu8AeC3337zvuOOO6xWYaOqxYQKIiIiIiIiIiIiqimGGP+WVzlgjfG4v7G9ZUJFkNl2apVGd6WyXrjacsOUaJZSnoay1EQSAAghAgGMw+WlUB4A0B+Xk2MCcTnRoSL3xvyaW6tOUhaPMr63uhSDGVOyxRWVno2JIf4OzG9S2Xt/DkrFBRMdgDwA520khpjLtnG8qp9re6+xve0cue9A1T8zOWV8D8CpzwYR0U3ju+++07zzzjv1zb+76667Ln7yySeVWcbtuhAfH58XHx+f5+w4bjZMqCAiIiIiIiIiIiKnE0L44nKpfH/YrkAAAL2EED5Syvwyjl/LXymav5x9GcB6O/vdkKWoAcBYieANody414xfPwrr1UYqcm9M1/yolDK6Av2rivm9XwzgvWqat0RKebCSY5S33Adw+dwuofxlLyz9V7FwrjnT+RQD8KxAVRRL9l4/oHqfDSKim4oQAt7e3vqIiIii3r17Z7388svpnp6eN2x1CnIuJlQQERERERERERFRTdAXgKeDfbwA9AEwx+y7DLPtugBSKhlXWTLNtl2r4EX3jWQmLidURJp9nwWl0oALlHvjKNM1byCEcJdSOqXMtZSySAhRAOX587/B7r3pGrsByJRSXssqL9XBdD7uABoCOHktJ7vBnw0iohph/PjxF8aPH3/B2XHQzcPFdhMiIiIiIiIiIiKia8603EcqlGUibH1OW/Qz2We2fX8F4rD3143JUH7FDwCdKzDPjcy85HbpUhRSyhIAphfM9wk7SpBY2G/86w6gQ8XDqxKmWO4RQtxIyzXsN9u+EZ5r8/N5qJrnvNGeDSIiopsSEyqIiIiIiIiIiIjIqYQQjQDca9xdKqVcZOsD4Edj+3ZCiAZmwx0AcMa4/YQQwtvBcIrMtt3LaiSlLACwybjbXggR6+A81xUHkx9amG2fsDi2yvi3ES4v8WKvlWbbr1QgIaMq/WT8WwvAKCfGUdXWASgxbr8ohLjeq1ybn88YIUSZ/6ar0I36bBAREd2UmFBBREREREREREREzjYYgOnl+BI7+5jaCWN/AICU0gDgY+NuPQDfCyHcrA0ghHARQlguPZGJy5UnImzEMAmXK1osEkKU2V4IoRJCDBBC1LMxZk3VVQixWAjRrLxGQohAAJ+bfbXSoskXAC4at78VQjQtZ6wrrpWUcg+A/xl3OwCYUl5ShRCisRBiWHnxVsI3uLy8zHtCiK7lNRZC3COEqEjFlGolpTyLy0vo3AXlHpWZVCGECBFCPFEtwVWAxfk0BjBHCOFaVnshRJgQ4rlKTntDPhtEREQ3q+s9u5SIiIiIiIiIiIiuf6aEiAsAttrZZxeA/6AkTQyGktxg8iWA7gA6AegN4G8hxFcA/gBQAKA2gNZQlg5JAvCuqaOUUieE2APgHgAjhBD7AfyJy79yz5JSZhnbbhNCTATwDpSKC38KIWZBeemfCqXCRTiANgD6AKgL4A5j3NcbFwCPAnhUCHEAwBoAe6Cc5yUAIVCqjIw0bgPAXgDzzAeRUp4XQjwD4Htju91CiJlQKgmcB+ANoCmAHlBegFsmqQyHch/rABgHoIMQIgFKZZIiAEFQEgEegbLkyzIAc6viAlicR54Qor8xbncAq4UQSwEsBXDc2KwOgBgoz+CdAEYD2FLVsVwDLwFoC+U+jADQWgjxHZT7qQXgD6AJgAcBPAzgbwAJzgnVLubn0x9AjBDiGyjPrxZAgPFYF+PnAJTEnwq5wZ8NIiKimw4TKoiIiIiIiIiIiMhphBD3AIg07i43VpiwSUophRDLADwPoLEQopWUcpfxmEEI0QvKy/w+AKIBTHMgrA+hLE2hgZJwYW4CrkzAeFcIkQNgMpRkgBeMH2su4colRa4n2VAqS9SCkrBwl432GwH0l1LqLA9IKecLIVwAfA3AE8o9fN7KGKes9D0nhGgDZcmXllBeSseUE0eejTgrTEr5sxCiC4BEKEk6jxo/1R5LVZJSaoUQ7aCc10MAbkf5/35q9HlZOZ9oAJ+V06XS53OjPhtEREQ3IyZUEBERERERERERkTMNMdte6mDfpbj8In4IlKoVAAApZQGUagodoFQ1uBfKi00dgLMADkFZi7EsegAAIABJREFUNuQny0GllGuEEB2hJEa0BBAMoMxlAqSU04QQPwJ4CkpVjEgov+IvNs71N5QEg6VSyoyyxqnJjNU4gqFUJWgPJYkhCkrSiQrKC+GTUH71v0hK+ZuN8eYJIf4HYBSUl9wRALygVKk4DeXX/QvL6HtKCNEKQE8AjwFoBSAUyj3KAXAUwA4o99beiicVIqX8xbjUy3AoVTHugnJNDADSAfwDYDOUe59yLWOpSsYqLF2FEA8AGATl308dAB5Q7vVxALuhVCr5X1nj1BTOOJ8b9dkgIiK62Qgppe1WFVMPwBkAGDhtEzLyr9fEa7pZPPvA7QCAnjtvcXIkVazHBmdHQERERNUoN2mHs0MgIiIiJ3njSPcK933+yVoO91G7qxHRpnQ1hvq4PpexICIiqjH27t27Vq1W3+7h4eHfuHHjY86Oh4joepSSkhJZVFSUo9PpDsXExDxc2fFcqiIoIiIiIiIiIiIiIiIiIiIiohsJEyqIiIiIiIiIiIiIiIiIiIiILDChgoiIiIiIiIiIiIiIiIiIiMgCEyqIiIiIiIiIiIiIiIiIiIiILDChgoiIiIiIiIiIiIiIiIiIiMgCEyqIiIiIiIiIiIiIiIiIiIiILDChgoiIiIiIiIiIiIiIiIiIiMgCEyqIiIiIiIiIiIiIiIiI6KayevVqHyFEjBAiZuzYsXWrYsy2bdtGm8Zs3bp1dFWMaRIWFnaHaWwhRMyXX34ZaE+/fv36NTTvFx8fH27P+LY+Pj4+d1uOYX5NLT8eHh7NQ0ND77z//vujJk+eHJybm2vzPbUpprCwsDvsOVdzMTExjYUQMWq1Osae9iUlJTDF2rZtW5v3Tq/XIzEx0W/AgAENo6Ojbw8MDLxLrVY39/Pzuzs6Ovr2vn37NlywYIF/cXGxqK74TGM68rHnPtzs1M4OgIiIiIiIiIiIiIiIiIgcM2rgPrtexF6vvkxsvtfZMTji+PHjrrt27fIx7e/evdvn6NGjblFRUZeuxXxJSUmaUaNGZZXXprCwUKxZsybgWszvqOLiYnHhwgXXCxcuuG7dutV3xowZtZcsWXKsTZs2hc6OzVFr1qzxfvHFFxscPXrU0/JYXl6eKi8vz/Po0aOeP/74Y9C4ceNK3n777f9s3SuquZhQQURERERERERERERERERUCbNmzdIYDAa4urpKKSV0Op2YNWtW4OTJk89X5Tzu7u6yuLhY7Ny50/fkyZOu4eHhJWW1Xbhwob9Wq1WZ+tgzfnBwcMmaNWuO2GqnUqnKPT5w4MD0F1544YJpPy0tzfWff/5x//LLL2ufOnXK/dy5c249e/aMSklJORgQEGCwJ7aaYPr06Zpx48Y11Ol0AgDuvvvui927d89u3rx5QVBQkD47O1t15MgR9/Xr1/v99ttvfmlpaa5vvfVW/epMqFCpVNixY0eyPW29vb2vm2vvLEyoICIiIiIiIiIiIiIiIiKqhMWLF2sA4P7778+VUuKXX37xX7x4saaqEyqaNGly8cyZM+7p6emus2fPDpw4cWJaWW0XLFigAYAHH3wwx95KFa6urrJly5ZFlY0zJCREZzFO0SOPPJI/evTozA4dOkTt3LnTJz093XXatGnBEyZMKPMcapIVK1b4jB07NtxgMMDT09Pw5Zdfnhw+fHi2lab5L730Usbhw4fdxowZU8+8ckl1qYp7SAquiUJEREREREREREREREREVEGbN2/2On78uAcADBgwIKt///5ZAHDixAmPX3/91asq51KpVOjdu3cWAPzwww+astqlpqaqt27d6gsAgwYNyqzKGCrDw8NDvvPOO+dM+7/88ouvM+OxV15enssTTzxxi8FggEqlwtKlS4+WkUxR6tZbb720fv36f997773/qitOqnpMqCAiIiIiIiIiIiIiIiIiqqDZs2drAMDb21vfr1+/nAEDBuR4e3vrAWDOnDlBVT3fiBEjMgHgyJEjnrt27fIsI6ZAnU4nAgICdPHx8blVHUNltG3btsC0nZqa6ubMWOw1ffr0oMzMTDUADBky5ELXrl219vZ97rnnakxCCzmOCRVERERERERERERERERERBVQXFwsfvrpp0AA6Nq1a7aXl5f08vKSDz30UA4ArFq1KqC4uFhU5ZytWrUqjI6OLgQuJ3NYWrRokQYAevbsmeXq6lqV01eaWq2Wpm2VSiXLa1tTJCYmBgGAEAKvvPLKdbFECVUNJlQQEREREREREREREREREVXA4sWL/XJyctQAMHjw4CzT94MHD84EgJycHPXixYv9qnrexx57LBMAli9fHqjX6684duDAAfeDBw96AcDw4cNrXHWEffv2lVbVqFevXrEzY7FHRkaG6ujRo54AEBkZWXjrrbdecnZMVH3Uzg6AiIiIiIiIiIiIiIiIiOh6NH/+fA0AhIaGljz88MP5pu+7deuWHxoaWpKWluY6f/58zeDBg3Oqct7HH38864MPPqiXnp7u+tNPP/n27t07z3Rs1qxZGgBo1KhR0f33319Q9ihXKykpEXv27PGw1a5u3bq6sLAwneORAx999FGoaTsuLi67ImNUpz179ngaDAYAQNOmTR26nnaOb/N663Q6h6qc2DNmcHCwPjw8vMSRcW9GTKggIiIiIiIiIiIiIiIiInJQWlqa6rfffvMDgN69e2eqVKrSYyqVCr169cr69ttvQ3/77Te/tLQ0VWhoqL7MwRzUsGHDktatW+dt27bNd/78+YGmhAqDwYClS5dqAKBv374OV6dIT093jY2NbWKr3Ysvvpj62WefnbN33PPnz6sOHDjg+cEHH9TesmWLHwDcfffdF5944okan1Bx4cKF0nfqISEhFUoiKYter4c91/tajNm3b9+MH3744VRVzn0j4pIfREREREREREREREREREQOmjNnTmBJSYkAgOHDh2dZHjctt1FSUiLmzp0bWNXzDxgwIBMANmzYEJCXl+di3PY+d+6cmxACI0aMuCqm6jJ16tQ6QogY06dOnTp3P/TQQ423bNnip1KpZM+ePbM2bdp0xN3dXTorRnvl5eWVZsrUqlWrypJi6PrAChVERERERERERERERERERA5KSkrSAEB0dHRhbGxsoeXxVq1aFUZFRRUePXrUc+HChZpXX301vSrnHzx4cM7LL79sKCgocElMTPR/5plnsubOnasBgBYtWmijo6MvOTpm3bp1L509e/bvqozTUnh4ePEbb7xxPjAw0HAt56kqvr6+pUkUFy9eVJXX1lEqlQo6nW6vrXYlJSVwc3OLqcoxyT6sUEFERERERERERERERERE5IC//vrL/e+//64FlL+0hunYgQMHav3999/uVRmDj4+PoUuXLtmAktxRUFAg1q5dGwAA/fv3d3i5j6o0cODA9N27dyfv3r07edu2bYcWLVp0rH///ulqtVoeP37co3Pnzo0PHDhQpdfDGintK4BhMBiEeTfzY+bLfJgv/0E3ByZUEBERERERERERERERERE5YObMmUGm7ffff7+e+fIW5p9JkybVM7VLSEjQVHUcQ4YMyQSAHTt2+H766afBWq1W5e7uLocMGZJd1XM5IiQkRNeyZcuili1bFrVt27bwsccey01KSjo9f/784y4uLsjNzVUNGDDgFp1OZ3uwCvDw8DAAgMFgQFFRkbDVPj8/v/S9uZeX1xWVM1q0aFHo4qIcPnjwoFcVh0o1HBMqiIiIiIiIiIiIiIiIiIjsZDAYsHTp0kBH+y1ZskRjMFTtKhfdu3fPDwkJKdHr9TAlb3Ts2DFHo9HobfV1hn79+uUOGDAgHQAOHTrkNWPGjCBbfSoiICCg9PzPnDnjaqu9eRvzvgAQHBysj4qKKgSAY8eOeaakpLhVZaxUs7EkCRERERERERERERERERGRnVavXu2TmprqBgBDhw690LZtW2157ffs2VMrISEh9Ny5c27r1q3z7tatW7ntHaFSqRAXF5f5zTff1C4uLhYAMGjQIKcu92HL5MmTzy1dulRTWFjoMmXKlDrPPPNMpoeHh31rc9ipadOmBWvWrAkAgJ07d3pFRUVdKq/9rl27SitP3HHHHQWWxwcOHJgxfvz4+lJKfPzxxyEJCQn/VWW8VHOxQgURERERERERERERERERkZ3mzZunAZRkhkmTJqWOHDkyu7zPBx98kKpWq6V536o0YsSITDc3N+nm5iZDQkJK+vTpk1vVc1SlsLAw3cCBA9MB4Pz5825ffvlllV+Tzp0755u2k5KSbFYTWbhwYWmbLl265Fsef+GFFzICAwN1ADB37tzQDRs2eNsbyxdffFHl50fVhwkVRERERERERERERERERER2yM/Pd1m/fn0AAMTExOSHhYXpbPUJDg7Wt27dOh8A1q1bF6DVakVVxtSyZcui4uLifcXFxfvS0tL+cnW1ucKF07399tvn3d3dJQBMmzattk5n8zI65IEHHrjYpEmTAgBYv359QEJCQkBZbadPn67ZsmWLHwC0bNlS26pVq0LLNr6+voaZM2eeEEJAr9cjLi4uav78+f7lxXDkyBG3hx9++Ja33367XmXPh5yHS34QERERERERERERERER0U3rr7/+8vz8889tVhF44IEHtJs3b65VUFDgAgA9e/bMtneOXr16Zf/+++++Wq1WlZiYGPDUU09lVSbma6WkpETs2bPHw562TZo0Kfby8qrQUh0NGjTQ9e3bN2P+/PnB//33n/u3334bOGrUKKvXpKCgwMWe+1O3bt2SPn365Jn2Z86cebJDhw63FRcXi5EjR96yYsWK7Li4uOzIyMhiKSWOHDnivmTJksCNGzf6A4CXl5chISHhZFnjx8XF5X3yySenXnnllQYFBQUuQ4YMiZg6derFHj16ZDdr1qwgKChIl52drT569Kj7hg0bfH/55Rf/kpIS4e/vX7XZInaw9x5GRkZeCggIMFzreK5nTKggIiIiIiIiIiIiIiIiopvWpk2b/Ddt2lRutQEAmD59+slFixYFAoAQAgMGDMixd44BAwbkvPrqqw31ej0SExM1NTWhIj093TU2NraJPW23bdt2qG3btldVc7DX+PHjUxctWhRUUlIiPv300zpPP/10lkqluqpdTk6O+oUXXgi3NV7Lli215gkVbdq0Kfzpp59SBg0aFJGenu66Zs2agDVr1litVFG7du1LixYtOn7nnXcWlzfH2LFjM6KioorHjh3b4NixYx779++vtX///lplta9bt+6ld9999z9bsVclvV4Pe+9hUlLSsf79+9foJWKcjUt+EBERERERERERERERERHZcPbsWdddu3b5AsDdd999MTw8vMTevnXq1NG1aNEiHwC2b9/ue/r06Zv+h++RkZEl8fHxmQBw4sQJj3nz5pW5LEdFde7c+eK///779+TJk0+3b98+NyQkpMTd3V26u7vLkJCQkg4dOuR+/PHHp44fP36wXbt2BfaM2b179/zDhw8nf//998cfe+yxjMjIyCJ/f3+dSqWSPj4++qioqMK+fftmJCUlHTt16tTfTz75pN2VTKjmEVJWqAqLPeoBOAMAA6dtQkZ+0bWah6hKPPvA7QCAnjtvcXIkVazHBmdHQERERNUoN2mHs0MgIiIiJ3njSPcK933+yTJ/VFcmtbsaEW0iTLv1AVTrL++IiIhuNHv37l2rVqtv9/Dw8G/cuPExZ8dDRHQ9SklJiSwqKsrR6XSHYmJiHq7seKxQQURERERERERERERERERERGSBCRVEREREREREREREREREREREFphQQURERERERERERERERERERGSBCRVEREREREREREREREREREREFphQQURERERERERERERERERERGSBCRVEREREREREREREREREREREFphQQURERERERERERERERERERGSBCRVEREREREREREREREREREREFphQQURERERERERERERERERERGSBCRVEREREREREREREREREREREFphQQURERERERERERERERERERGSBCRVEREREREREREREREREREREFphQQURERERERERERERERERERGSBCRVEREREREREREREREREREREFphQQURERERERERERERERERERGSBCRVEREREREREREREREREREREFphQQURERERERERERERERERERGSBCRVEREREREREREREREREREREFphQQURERERERERERERERERERGSBCRVEREREREREREREREREREREFphQQUREREREREREREREREQ3ndWrV/sIIWLK+nh5eTULDw9vGhcXF7569WqfssZJSUlxK2sMNze35kFBQXe1bt06+s0336ydmpqqthVXbGxsY1N/a8fHjh1b13yOKVOmBNsaMyws7A4hRExsbGxjW3Oafzw9PZsFBwffGRkZ2aRbt263vP3226F//fWXu635yvLVV18FmsZ2cXGJOXLkiFt57du0aRNtb1tLH3/8cZBprokTJ4aU1e7kyZOub731VmirVq2ia9eufae7u3tzPz+/uyMiIpr079+/4eLFi33tma9nz56NTPMdP37c1fL4Z599FmR+bZ9//vm6tsaMiYlpLISIadCgQVNbc9r72bNnj4c950MKm/9giYiIiIiIiIiIiIiIiKhmSfktxerL9htF4/aN9zo7hsLCQpdTp065nzp1yn358uWaRx99NCMpKemUWm3/K9aSkhKRmZmpzszM9Nm1a5fPV199FTpnzpx/e/XqlV9VcX722Wd1Ro8eneHp6SmrakyToqIil6KiIpeMjAzX48ePe6xduzZg0qRJ9Vq1apX/2WefnWnTpk2hI+MlJiZqTNtSSiQkJGimTJmSWlb7AQMGZO7cudNHSonZs2cHTp48+by9cy1atEgDACqVSg4fPjzL8rher8drr71W54svvqhdVFR0RSGCS5cuqfLy8lT//vuvx6JFi4I++ugj7cyZM081b968yN75bZk1a1bo66+/fqFOnTq6qhqTqh4TKoiIiIiIiIiIiIiIiIjopjZw4MD0F1544YJpX0op0tPTVdu2bfP+9ttvQ7OystQ//vhjUFhYWMnUqVPPlTVOx44dcz788MOzpv2cnBzVP//84/Hdd9+FJCcne+Xk5KgHDhwYuX///uTo6OhLVRF7Wlqa66effhr81ltvXbDd2rbdu3cnm7ZLSkpEVlaW+vTp0647d+70XrdunX9GRobrzp07fdq1a3fbBx98cHrcuHEZ9ox78uRJ1507d/oCgJeXl6GgoMBl8eLF5SZUDBkyJPvVV19tUFhY6LJ48WKNvQkVhw8fdtu/f783ANx777159evXvyJpoaioSMTFxTVat25dAAB4enoa4uLiMrt27Zpbv379kvz8fJc///zTa+HChZrk5GSvffv2eXfo0OHWJUuWHO3UqdNFe2KwpaCgwGXChAm1v/nmm/+qYrwVK1YcqVu3bomtdk2bNi2uivluFkyoICIiIiIiIiIiIiIiIqKbWkhIiK5ly5ZXVR/o1q2bNj4+Pufee++9raioyCUhISFk8uTJqe7u7larQfj5+ektx+nUqdPF5557LrNPnz7hy5cv1xQUFLhMmjQpdN68eWcqG7e/v78uJydHPX369NpjxoxJ9/b2rnSVCmvXAQCeffbZrMLCwjOTJk0KmTx5clhJSYl49dVXG4aFhZX0798/19a4CQkJgQaDASqVSk6YMOHMyy+/3PDUqVPumzZtqtWxY0erSQp+fn6GLl26ZK9YsUJz4sQJjy1btnjdf//9BbbmmjVrlkZK5VIMHDgw0/L4qFGj6pmSKW677baCFStWHLdMcOnWrZv29ddfvzBhwoTQiRMn1svLy1P17ds3cv/+/YfCw8NtJi6Ux3Tf5s2bF/zmm2+et0z4qIimTZsWRUREVCouupqL7SZERERERERERERERERERDenmJiYovbt2+cCgFarVf35558ejo7h4uKCKVOmlFau2LJli29VxPbcc8/9n737jo6qTv8H/n5mUiYhfRJCQJqUrGJBShDpoCBKk5IAkRaxfgXUVVwVEAQEXEVX9IdKC5AElrbi0qUoxZJQXYoRlFASID0kpJDy+f0xM2EYJpOZFBLl/Trnnrl37qc899548OQ+eT6XASA1NdX5n//8Z92qGNMWNzc3NWvWrCsLFy48CwAlJSWYOHFi49zcXCmv77///W9/wFAx4uWXX07z8vIqBoBly5bpbfUbM2ZMaUJEeW1N1q5dqwcADw+P4vDw8Ezzc9u3b/dYtmxZXQAICgq6vmfPnt/Kqhai0WgwY8aMK2+88UYSAGRmZjo988wzjeyJwRbTc8vPz9dMnz49qLLjUfVhQgURERERERERERERERERkQ2NGjUqfeFuT/KANc2bNy/08fEpAoDLly+7VEVc4eHhGcHBwXkAsGDBgnpZWVm35f3vs88+m9G3b98MwJDMsWDBAn9b7fft2+d+5swZHQCMGDEiXafTqSeeeCIDADZt2uSXn59f5j3t379/dmBgYCEAbNy40a+w0HYRht27d9c5d+6cKwA8+eSTGe7u7jdV7Zg3b149U/WKefPmXQgMDCwu73pnz559qXnz5vkAsGfPHp9Dhw45nFRjrnPnzte6du2aBQDR0dEBZ8+eda7MeFR9mFBBRERERERERERERERERGTD+fPnSxMgmjVrZrWagT20Wi0AwMnJqdJLcwCAiOCdd95JAoCMjAynuXPnVnuVCpPXXnvtimn/m2++8bHVdunSpXoAcHd3Lxk5cmQmAIwePToNALKysrT//ve/vcvqq9VqMXjw4DTAcI3r168vsy0AREZGllaxGDt27E3LfVy6dMnpu+++8waA+vXrX7esXlEWZ2dnPPPMM8kAoJTCokWLbCaQ2GPmzJlJAFBQUCDTpk1jlYpaigkVRERERERERERERERERERlOHLkiM70Ev6+++7LbdSoUVFFxrl06ZJTenq6E2B4mV9V8Y0aNSqzVatWuQCwcOHCeunp6bflHXCPHj2u1alTpwQAjh496lFW5YjCwkJs3LjRDwD69OmT4enpWWLczzHdh5UrV9pcymP8+PGliRFRUVFlti0oKJD//ve/vgDQoEGD6717984xP79z504PU3WKXr16ZWk09t+qYcOGlSZf/PTTTx52dyxD165dc3v27JkJGJZDOX36dJVULaGqxYQKIiIiIiIiIiIiIiIiIrqjJScnO8XFxelMW2xsrNu2bds8pkyZEti7d++W+fn5Gg8Pj+L58+efr+gcs2fPDjS9zB8wYEBGlQUPYOrUqUmAodrD+++/H1iVY5dFq9UiODg4FwByc3M1586ds7psxZo1a7wzMjKcAGDUqFHppu81Gg2eeuqpdAD4/vvvvS9fvqwta642bdrkm5JGdu7c6VNW0si6deu8MjMznQBg2LBhaZYJE0ePHnUzG/OanZcKAGjWrFmhr69vEQDEx8e7ldfeHrNmzUoSERQWFla6SsXx48d15j/D1rb4+HgmbTiICRVEREREREREREREREREdEeLjo4OCAkJaWXaOnTocG/fvn2DZ8+efVd6errziBEjUvbu3fvrY4895tBL+PT0dM3evXvdBw0a1PTzzz+vBwCNGzcumDx5cnJVxh8WFpb14IMPXgOAL7/8MjAlJaXM5ISqZEowAIC0tDQna21M1ScCAgIKBwwYcNX83Lhx49IAoKioSJYuXepna64RI0akAYYqFCtWrPC11sa8esUzzzyTZnk+NTW1NMagoCCHK434+/sXAkB+fr4mJydHHO1vqWPHjnm9e/fOAIC1a9fqT548WeGEh0GDBrU0/xm2to0bN65JZWO+0zChgoiIiIiIiIiIiIiIiIioDCUlJdi8ebPfwoUL/fPz822+RN+wYYNeRNqaNr1e/1C3bt3u2bhxo5+IoEePHll79uyJDwgIKK7qON99990kAMjJydHOnDnztlSpMC35AQBZWVm3vHtOSUnR7tmzxwcABg4cmK7V3pzn0bZt2/x77rknFwBWr15tc9mPiIiIdCcnJwUAq1atuqVtamqqdvfu3T4A8NBDD1277777Cizb5OTklAbg4eHh8DNwc3Mrvd6MjIwqSVqZNWtWkkajQXFxsUydOrV+VYxJVYcJFURERERERERERERERER0R3v11VcvKaUOmW/Z2dmHf/7555PPP//8lWvXrmkWLVoU2LVr15YVrUxQt27dwr///e+XmzZtWljV8QPAU089dbVt27Y5ALBkyZJAW0toVJWcnJzS980+Pj4llueXLl3qd/36dQGAsWPH3lIxAgBCQ0PTAeB///tfnWPHjrmWNVdQUFBRt27dsgAgLi7O8/Tp0zdVc1i+fLmvaa7hw4dbncs8iSI7O9vh+5Obm1vax9fXt0qSYtq1a5f/xBNPpAPAxo0b9b/88kuZ98CWM2fO/GL5M2y5/fDDD79VRcx3EiZUEBERERERERERERERERFZ8PDwUCEhIXlffPHFxXnz5p0HgLi4OI8pU6YEldWnV69embGxsSdiY2NP/PTTTyfXrVt3+oUXXrjs7u5ecuXKFechQ4a03LZtm0d1xTxjxoxEAMjNzdXMmDGjXnXNY5KRkeFs2g8ICLhlCQ1TJYlmzZrld+rUKc/aGOPGjSutXLF48WJ/W/ONGjUqDQCUUrBcIsQ0l4uLixo3bly6tf56vb40CeLSpUvO1trYYloyRKfTlXh4eChH+5dl9uzZSVqtFsXFxZgyZQqrVNQiTKggIiIiIiIiIiIiIiIiIrLhlVdeSfX29i4GgJiYmDJf+nt7exe3b98+v3379vkdOnTIGzJkyNWFCxcmbtu2LV6n05UUFBTIuHHjmqanp1fLe9onn3wy5+GHH84GgMjIyLoXLlxwqo55AKC4uBjx8fFugKHyQ8OGDW+qvPG///3P9dixY3UA4Pfff9eZL4VivjVp0uSB4mJDnsP69ev9SkpuKXRRKiwsLMv0HNasWVPdBb8NAAAgAElEQVS67Ed8fLzL4cOHPQCgR48emWUtqdK6detc0/6RI0fcHbneM2fOOGdmZjoBQHBwsNXkkIp64IEHCgYMGJAGAJs3b/Y7ePCgrirHp4pjQgURERERERERERERERERkQ1arRaNGzfOB4CUlBTnK1euOLRcRJcuXXJff/31JAC4fPmyS3VWj3jvvfcSASA/P18zffr0MqtpVNauXbvq5ObmagCgdevW15ycbs7dWLRokd5qRxsuXbrksnnzZs+yzut0OtW/f/90APjjjz90+/btcweAJUuW6JUyFIwwVbGw5tFHH80REVP83raSNyytXbvWx7T/8MMP59jd0U4zZ868pNVqVUlJCaZOncoqFbUEEyqIiIiIiIiIiIiIiIiIiMpRXFwspv3r16+LrbbWvP3228mBgYGFALBo0aLAS5cuVUv1iMcee+xaly5drgJAdHR0QEJCgsNLW9jj448/DjTtDxgwIMP8XElJCdavX68HgJYtW+Z9+eWXf5S36XS6EgBYvny5zUSMcePGlSZMLFu2TA8Aa9eu9QMAHx+foqFDh14tq2/9+vWLunXrlgUASUlJLtHR0T5ltTVXWFiIpUuX1jUdjx8/PtWefo5o1apVwdChQ9MAYPv27b4//vijW1XPQY6rthIvRERERERERERERERERER/BdnZ2Zrff/9dBwCurq4qKCioyNEx3Nzc1IQJEy5PmTKlYV5enub9998PXLBgQWLVRwvMnDkzsXv37l4FBQUybdq0Kq9S8dVXX/lu27bNFwACAgIKX3755ZuqQmzZssUzKSnJBQCGDx+e9txzz2VYG8fchg0bfLdv3+67bds23+zs7POenp5Wy0f07NnzWpMmTfITEhJ0Gzdu9Pv222/TExISdAAwcODAdFdXV2VrnsmTJ1/+7rvvvAHgzTffbNi7d+/swMBAq0uEmLzzzjtBZ86c0QFAjx49stq1a5df3vVUxMyZMy9t2LBBX1hYKKxSUTuwQgURERERERERERERERERkQ2vv/56/fz8fA0AdO7cOctyeQt7vfrqqyn+/v6FABAZGRmQlpbm0NIh9urWrVtujx49sgBg9erV/levXq2SefLy8mTq1KmBL730UlMA0Gg0+OyzzxLc3NxuSmIwrzIxcuTIcpMpAGDw4MEZAHDt2jVNVFSUzcoRYWFhaQCQnp7u9NJLLzUxfR8REVHmch8mffv2zRkzZkwyYFhipGfPni1Pnz7tYq1tSUkJpk+fHvjhhx/WBwwVMJYsWXLOnuupiBYtWlwPDQ1NBYBdu3b5/PHHH7rqmovswwoVRERERERERERERERERHRHS05OdoqLi7vp5XVeXp7m1KlTuujoaP2+ffu8AEN1ivfffz+povO4u7urF1988crMmTPvysnJ0c6dO7fuP//5z0uVjd+aWbNmJXbu3Nm7sLBQCgsL7U6oML8PRUVFkp6erj1//rzLTz/9VGfLli2+qampzgDg4uKi5s6dez40NPSmJTays7M1W7du9QWAVq1a5QYHB1+3Z95hw4ZlTZw4URUUFEh0dLT+xRdfTC+r7fjx49M++OCDBkopmCpH3H333fldu3bNtWeuhQsXXkxKSnL59ttvfU6ePOn+4IMPthoyZEha3759sxo2bFiYk5OjOXLkiFtMTIz/iRMn3AHA09OzeNWqVb83bdq00J45KmrmzJmX1q1b519QUCCZmZl2v88/fvy4Lj09vdzn3KhRo8LyKnLQDUyoICIiIiIiIiIiIiIiIqI7WnR0dEB0dHSArTa+vr5FixcvPhsSEpJXmblef/31lAULFtTLzMx0Wrx4cd0pU6Zc8fb2trq8RWU88sgjeb17987Yvn27ryP9QkJCWtk6LyJ4+OGHsz/++OMLHTp0uOVeREVF+Vy7dk0DAAMGDLCrOgUA+Pr6lnTq1Clr9+7dPj/99JNXQkKCc5MmTawmLzRv3rwwJCQk++eff/Y0fWeqWmEPNzc3tXXr1t/feOON+gsXLgzMy8vTREVFBURFRVn9GXjwwQevLV68OKG6lvow17Rp08KRI0emLFu2rK4j/QYNGtTSnnazZ88+//bbb6dULLo7D5f8ICIiIiIiIiIiIiIiIiKy4OzsrPz9/Qs7duyY/e67716Mj48/Pnjw4Kvl97TNy8ur5Pnnn78CAJmZmU4ffvihzUSOypg1a1aSRlPxV8Kurq5Kr9cX3X333flPPPFExtSpUy8eO3bs+A8//PCbtWQKAIiOji5d7mPEiBF2J1QAwFNPPZUJAMXFxViyZImfrbbh4eGlCRQajQbPPPOM3QkVAKDVajF//vykkydPHn/rrbcS27VrlxMQEFDo7OysPDw8ips0aZIfGhqaumrVqjNHjx799XYkU5jMmDHjkk6nq/IkG3KcKKXKb1UxdwG4AADhn+xCavZt+/kiqpCXet4LABj40901HEkVG7C9piMgIiKi2ygr5seaDoGIiIhqyNu/9a9w34nP1nG4j5OrE5p1bGY6bAjgYoUDICIiIhw6dGiLk5PTvTqdzic4OPhMTcdDRPRnFB8f3zw/Pz+zqKjoZNu2bZ+o7HisUEFERERERERERERERERERERkgQkVRERERERERERERERERERERBaYUEFERERERERERERERERERERkgQkVRERERERERERERERERERERBaYUEFERERERERERERERERERERkgQkVRERERERERERERERERERERBaYUEFERERERERERERERERERERkgQkVRERERERERERERERERERERBaYUEFERERERERERERERERERERkgQkVRERERERERERERERERERERBaYUEFERERERERERERERERERERkgQkVRERERERERERERERERERERBaYUEFERERERERERERERERERERkgQkVRERERERERERERERERERERBaYUEFERERERERERERERERERERkgQkVRERERERERERERERERERERBaYUEFERERERERERERERERERERkgQkVRERERERERERERERERERERBaYUEFERERERERERERERERERERkgQkVRERERERERERERERERERERBaYUEFEREREREREREREREREd5xNmzZ5ikhb01anTp2HsrOzy31/mpOTI56enq3N+27atMmzvH7bt2/3MO+zdetWj4rEab7pdLo2gYGBD3Tt2rXF3LlzA7KyssqNv0GDBveLSNsGDRrcb8/8ABAWFtbYNGfDhg3vs7ffkCFDmpjHu27dOq/y+pjaDhkypImt+O3dPD09W9sbL5Elp5oOgIiIiIiIiIiIiIiIiIgcI99917amY6hOqnv3Q7d7ztzcXE10dLTPCy+8kG6rXUxMjE9OTo7W0fEjIyP1lsd9+/bNcXQccwUFBZKcnOycnJzsvG/fPq8FCxbUW7du3ZmOHTvmVWZcc7m5ubJlyxZf0/HFixddt2/f7tGnTx+HY58xY0aDoUOHXq2q2IiqGxMqiIiIiIiIiIiIiIiIiOiO5urqqgoKCiQmJkZvR0KF3ryPPePn5eXJ5s2bfQHA3d29JDc3V7NlyxbfnJyc8x4eHsreOMPDw1MmTZqUbDq+cuWK86lTp1w///zzeufOnXNNSkpyGThwYIv4+Pjjvr6+JfaOa0tUVFRpAombm1tJXl6eJjIyUl+RhIrjx4+7R0dHe4eHh2dVNq6AgIDCzZs3/1ZeO63W4dwXolJc8oOIiIiIiIiIiIiIiIiI7mi9evXKBIAffvjB6/z582X+UXpiYqLT/v37vQDg0UcfzbR3/OjoaJ/s7GwtAMyePfs8AOTk5GhjYmJ8HImzbt26Re3bt883bf369ct+4403Un/99dcTDz/8cDYApKSkOH/yyScBjoxbTux6AAgODs4LCwtLBYBNmzb55ubm2pVMYuLj41MEADNnzmxQUlL5XA9nZ2dlfi/K2tq0aZNf6cnojsWECiIiIiIiIiIiIiIiIiK6oz366KNX/f39C4uLi7Fs2TK/stotXbrUr7i4WPR6fVGvXr3sXroiKipKDwDNmjXLf+WVV9KaNWuWD9xIVqgsnU6n3n333STT8e7du72qYtzz5887HThwwBsAhg0bljZ69Og0oGLJIC+//PJlAIiPj3dbsWKFQ32JagoTKoiIiIiIiIiIiIiIiIjojqbVatXAgQPTAeDf//53mUkOq1ev1gPAoEGD0rRarV1LdZhXtRg2bFgaAAwdOjQNAA4cOOB94cKFMitiOOKRRx7JNe1funTJpSrGXLJkib64uBgajQYRERHpPXr0yG3cuHEB4HgyyOTJk1P0en0RAMyePbtBcXFxVYRIVK2YUEFEREREREREREREREREd7xx48alAcCpU6fcDx48qLM8f+jQId3JkyfdzdvaY/HixX7FxcUiIoiIiEgHgIiIiHQRQXFxMZYsWVIlVSqcnJxKEzzsTfYojymBJCQkJLtp06aFwI1kkH379nklJibanQzi6elZMnHixEsAcObMGd3ixYvLrARCVFswoYKIiIiIiIiIiIiIiIiI7nidOnXKa9GiRR4ALF269JYkB9N3zZs3z+/UqVOeveOuWrXKHwDatm2b06JFi+sA0LJly+tt2rTJAW4kLVTW4cOH3Uz7d911V0Flx/vxxx/dfvvtNzcAGD58eGkCSURERBoAFBcXy5IlSxxKinj99ddT6tatWwgAc+fODSoqKqpsmETVigkVREREREREREREREREREQAQkND0wBgw4YNevMlKUpKSrBhwwY/8zb2iI2NdYuPj78lKcH8OD4+3i02NtbNWn9HzJs3L9C0P3jw4IzKjmeqnOHq6qpGjRpVOt699957vXXr1tcAx5NB3N3d1auvvnoJABISEnRffPFFhZNJCgsLJS4uTlfe5kgVDSJLTKggIiIiIiIiIiIiIiIiIgLwzDPPpGs0Gly5csV5y5YtnqbvN2/e7Hn58mUXjUZTWqHBHosXL9YDgIuLixozZsxNSQ5jx47NcHFxUebtHHX58mXt9u3bPbp169Z806ZNfgDQunXra+PHj69UQkVRURE2btzoBwC9evXK9PPzKzE/HxYWVro8Slxc3C3Lo9jyyiuvpAYFBV0HgA8++CCosLCwQjGmpKQ4h4SEtCpv++ijj+pWaAIiMKGCiIiIiIiIiIiIiIiIiAgA0LRp08IOHTpkA8CKFStKkxxM+yEhIdnNmjWzKwOgqKgIX3/9tR8AdO/ePcvf37/Y/Ly/v39xt27dsgDg66+/9rNn+YuPP/44SETamragoKDWjz/+ePDevXu9tVqtGjhwYPquXbt+c3V1VXZftBXr16/3Tk1NdQaA8PDwWxJIxo4dm+7k5KQA68uj2KLT6dTf//73SwBw4cIF1wULFvhXJlai6sSECiIiIiIiIiIiIiIiIiIio5EjR6YBwNatW31zcnIkJydHtm3b5gMAI0aMsLs6xYYNG7xSUlLKTEow/z4lJcV548aNXpWJu0mTJgVvv/32ZctqEhVhSiDx8fEpGjJkyFXL8/Xq1Svu0qXLVeDW5VHsMXHixNS77rqrAAA++uijoPz8fHE0xvr1619XSh0qb5s/f36So2MTmTChgoiIiIiIiIiIiIiIiIjIaNSoURk6na7k2rVrmpiYGJ/o6GjfnJwcrU6nKxk1apTdS2msXLlSDwCenp7FoaGhWdbahIaGZnl6ehYDwPLly8ut9BAeHp4SGxt7IjY29sSBAwdOrl69+syIESNSnJyc1O+//67r3bt38LFjx1ztjdGatLQ07a5du3wAoF+/fhllVbswJZ4kJyc7f/PNNw4lgzg7O2Py5MmXACApKcnlX//6F6tUUK3EhAoiIiIiIiIiIiIiIiIiIiNvb++S3r17ZwJATEyMPiYmxg8AHn300UxfX1+7qj+kp6drdu7c6QMA2dnZWjc3tzbmS3WYNnd39zbZ2dlaAPj22299MjIybL6/rVu3blH79u3z27dvn//II4/khYWFZcXExJxfuXLl7xqNBllZWdqRI0febc/yIWWJjIz0LSgoEACIiooKsBa3iLR99tln7zb1sScZxNKLL76Y1rhx4wIAmD9/flBubq7DVSqIqhsTKoiIiIiIiIiIiIiIiIiIzIwZMyYNAPbv3+914MABLwAYNWqU3ct9REZG+uXn5zv0LjY/P1+zYsUKX8ciNRg+fHjWyJEjUwDg5MmT7gsWLKhwxYeYmBiHkyN27Njhk5WV5dD1Ojk54R//+EcSYKhy8dFHHwU4Oi9RdXOq6QCIiIiIiIiIiIiIiIiIiGqTAQMGXA0ICChMSUlxBgC9Xl80ePDgq/b2NyUlBAQEFM6aNetCee2nT59+16VLl1xiYmL0kyZNsjtxw9zcuXOT1q9fr8/Ly9N88MEHQS+++GKaTqezulxHWU6ePOly+PBhDwDo169fev/+/TNttU9ISHCdM2dOg7y8PM2KFSt8J0yY4FDszz77bPpHH30UdObMGd2nn35a75VXXkl1pD9RdavOhAo3006zQE/4eVRqqR6iauddx8WwE9iuZgOpaq6eNR0BERER3UaaoKCaDoGIiIhqSKMit/IblcHV0/Hf3WmdteaHFZ+ciIiIqBZycnLCkCFD0pYuXRoIAIMHD05zcrLv1eqvv/5ampTQt2/fjOeeey6jvD4HDx6ss2jRosC4uDjP06dPu7Ro0eK6ozE3aNCgKDw8PGXx4sWBly9fdvn888/1f//73x1KUFi8eHFpZYvJkydf6dKlS66t9sXFxfjqq68C09LSnGJiYvSOJlRotVq8/fbbSREREXenpqY6//Of/2SVCqpVqjOh4mHTznsjQqpxGqIq1jqupiMgIiIiqjDP5zrWdAhERERUQ96s2ekfBnC6ZkMgIiIiqloLFy5MXLhwYaKj/RYvXqxXylAYIjQ0tNxkCgAICwvLWLRoUaBSCosXL/abN2/eZUfnBYCpU6deXrlyZd2CggL55JNP6k2aNCnV3kQQAFi7dq0fANSvX/96eckUgCEhonfv3hmrVq0KiI2N9Txz5oxz8+bNCx2JecyYMRnz5s3Li4+Pd1uwYEE9R/oSVTeH1rEhIiIiIiIiIiIiIiIiIqKyrV27Vg8Afn5+RY8//niOPX169OhxLTAwsBAA1qxZo6/o3I0aNSoKDQ1NBYCLFy+6fvnll3729t22bZvHxYsXXQHgySeftCsRBACGDRuWCQAlJSVYsmSJw7FrNBpMmTIlCQAyMzPtzv4oLCyUuLg4nT1bbm6uOBoXEVC9FSp+Mu1MWLwf6TkF1TgVERHRnWFhybGaDoGIiIiIiAgAIB4e8HzuOdPhT7baEhEREd0pduzYUef8+fOuANCnT58MrVZbXhcAhqSCvn37ZkRGRtZNSEjQ7d69u07Pnj2vVSSGadOmXVq9erV/YWGhfPTRR0EvvPBCuj1xREZGliZDhIWF2Z1Q0a9fv6ve3t7FWVlZ2jVr1ujnzJnjcHWNp59+OnPu3Lm5J06ccLe3T0pKinNISEgre9oeOHDg5COPPJLnaFxE1ZlQUfoDmZ5TgNTs/GqcioiI6M6gSrJrOgQiIiIiIiJr+MtpIiKi20x1736opmOgW0VGRvqb9k2VG+wVGhqaERkZWRcAli1bpq9oQkXz5s0LhwwZkrZ69Wr/s2fP6pYvX+4bERFhM0EiNzdXNm/e7AsAdevWLezRo4fdczs7O+Oxxx7LXLdunf6PP/7Qff/99+7dunUrd7kQS9OmTUsMCwtr4Wg/ouokpvV7qsFdAC4AQPgnu5hQQUREVAXWlBys6RCIiIiIiIgAAOLpCa/XXjMdNgRwsQbDoTuIiGgB/B2AO4BflVKrazgkIqIqcejQoS1OTk736nQ6n+Dg4DM1HQ8R0Z9RfHx88/z8/MyioqKTbdu2faKy41VnhQoiIiIiIiIiIiIioiqllCoWkUQAUQCKReScUurHmo6LiIiIiP56NDUdABERERERERERERGRI5RS0QDmA9ACWCkidWo4JCIiIiL6C2JCBREREREREREREdVKItJZRJTZ1rWmY6oJItLE7B5EltEmwXg+oYzzkWZjNKlkPA1E5F0R2SciKSJyXUTSReRXEdkjInNF5HER8azMPHaYDGAngGYAPq7muWrM7Xy2RERERHQzJlQQERERERERERFRbTW6nOMqZ5G8MLa65/uzEZFxAOIBTAfQGYA/AGcAvgCCAXQH8CaArQAWVWcsSqliAGEAzgJ4VkT6Ved8RERERHTnYUIFERERERERERER1Toi4gpgmPEwx/g5TETcaiikO56IhAJYAqAOgHwACwEMAtAOQHsAAwHMBHD4dsWklEo3xnANwGIRCbhdcxMRERHRX59TTQdAREREREREREREZMVAAD7G/UkwvMj3Mn6/uqaCulOJiBbAJwAEQDaAzkqpX6w0/QbANBG5B8D9tyM2Yxwet2MuIiIiIrqzsEIFERERERERERER1UZjjJ8nlVJLAZw0Hlf7sh9kVQiAIOP+l2UkU5RSSp1SSq2p/rCIiIiIiKoPEyqIiIiIiIiIiIioVhGRugB6Gw+jjJ/Rxs/eIhLowFidRGSxiMSLyFURyRGRX0XkaxEZLSJeZm0VgLNm3ZeJiLLYppcxT7CIfCoiJ0QkS0TyROQPEVkmIm3svvjaq7HZ/pmqGFBEAkRkmogcEJFkESkQkQvG42kiEmyjr5OIPCMiW0QkSUSui0iaiOwXkddFpI6Nvt8Zn+V3xuMGIjJfRM4Yn1uaiGwXkb52XoeviEwRkR9FJNV4HUkislFEBjt8Y4iIiIio1uCSH0RERERERERERFTbhMPwu0uFG4kU0QBmAdAaz8+3NYCIuMGwTMgIK6eDjdtAADMATK9MsCIyFcA03Pr71qbGbYyIzFRKvVuZeWrYdbP9eyo7mIiEA/gSgGXiw13G7REAEQCaWOnbDIalRe61OOUHoJNx+z8R6a+UOl5OHJ0BfA1Ab/a1DoaEnt4i8oZS6kMb/Z+A4WfTx+JUEIABAAaIyGYAw5VSObZiISIiIqLahwkVREREREREREREVNuYlvvYp5Q6DwBKqXMish9AFxiW/SgzoUJENAA2AnjM+NVpAP8PwEEAuTC87H4EQKhF1/sB1Aew3Xg8xTiOuWSLud4DMNV4+AOApQBOACiEIWnjZQAdAUwTkVSl1AJbF16LHTHbf15EvlFK7a7IQCIyGsBy42E+gEUAtgK4DMADwAMA+gNoYaVvEIADAAIBZAP4CsBOAFcAeMOQCDEJhkSMrSLykFIqtYxQggD8B0AxgH8A2A9D4khnGBJkfADMEZGtSqkTVmJ5DIbEDi2ABAALAfwM4CqABgDCADwN4Enj9Q4p/+4QERERUW3ChAoiIiIiIiIiIiKqNUTkfgAPGg+jLE5HwZBQ8aCI3K+U+l8Zw0zAjWSK/wAYoZQqsGiz2VhZop7pC6XUcRExryKQaKvCgYi0B/CO8XCWUmqqRZNDIrIahpfpTwOYLSIrlVKZZY1ZWymlzorIJgD9YKjgsEtEDgLYBkMSwc9KqZTyxhGR+jAkHgCG5JReVu7xPgCfi8hdVob4CoZkigsAuiul/rA4/52IrAOwF4ZKF28DeK2McFoCOAegk1Iq0ez7OBGJM47hBOA5GJI0zK+jDoCVMCRT7ADwlFIq16zJEQCbRGSvMebBItJLKbWrjFiIiIiIqBbS1HQARERERERERERERGZM1SkKAKy1OLfG+L15u5sYq1O8YTxMBDDaSjIFAEApVaKUSqpErG/C8DvWQzBUNLA6BwwJHgUAPAEMrcR8NW0cDFU+TNrBUMXjvwCSRSReRBaISBsbY0wA4G7cf95WwopS6qL5sYjcB0NCBwC8bCWZwtTvMAwVSQBglIiIrXgskilMY+yHIVEEMCTxWBoHQ2JHPoBRFskU5uMsAhBr1oeIiIiI/kSYUEFERERERERERES1gohoAYw0Hm62rORgPN5iPBxpbG+pNQzLLQDAIqVUjpU2VRGrM4C+xsN1SilVVltj3KZqGh2rI57bwbh0xiMAXgTwi5UmLWFY4uSQiKw0VnGw9KTx8yxuXU6lPAONn7kANpfTdq/x0x9A0zLaZJYzziHj5902YvleKZVs5by1WP60z56IiIjoTsUlP4iIiIiIiIiIiKi26A0gyLhvudwHzL5/ytjuUQDbLc4/ZLa/F9XnXtyotDBHRObY2a9e+U1qL6VUIYAvAHwhIo0AdAbQBkAIgIcBOBubPg2gvoj0VkoVA6VJKPcZz++zlYRShnbGT3cABbYLT8D8ZF0A1qpZnDZWEClLuvHT00YsfUTE3uv4Uz97IiIiojsRK1QQERERERERERFRbTHa+GmrcsBm43nz9ub8zfYvVVFc1tStYD/38pv8OSilziulYpRSryulusKQMDAHgClJoSeAEWZd/HAj0aEiz8b8nmvL2cx/960rYzyry3SYMV3HTb9HNyaG+NgX8k3+Ms+eiIiI6E7BChVERERERERERERU40TECzeWUfBB+RUIAGCQiHgqpbLLOO9oBQRHmC838gaAbXb2u1YNsdQKSql0AG+L4cH9w/j1MFivNlKRZ2O656eVUi0r0L+qmD/7NQBm1lQgRERERFS9mFBBREREREREREREtUEoADcH+7gDGApgmdl3qWb79QHEVzKusqSZ7TsrpY5X0zx/RotwI6Giudn36TBUfdDA8GwcZbrnjUTEVSlVUPEQK04plS8iuTD8/Pnw2RMRERH9dTGhgoiIiIiIiIiIiGoD0/IdlwC8Zkf7eQAaGfuZJ1QcNtvvCmCPg3HYWznhBIDrAFwA9IZhqQsySDLbNy2bAaVUoYgcB/AAgC4iIkopRypVHAHwBABXAD1gf1WQ6nAEQCcAnUTEXSlV3vIhRERERPQnpCm/CREREREREREREVH1EZGmADobD9crpVaXtwFYa2zfTUQamQ13DMAF46jlgtMAACAASURBVP54EfFwMJx8s33XshoZX6DvMh52F5EQB+f5UxE71l8x085s/6zFuf8aP5vixhIv9tpotj/ZwZiq2jfGzzoA/q8G4yAiIiKiasSECiIiIiIiIiIiIqppowCYXo6vs7OPqZ0Y+wMAlFIlAP5pPLwLwAoRcbE2gIhoRMRy6Yk0GCpPAECzcmKYjRsVLVaLSJntRUQrIiNF5K5yxqyt+orIGhF5yFYjEfED8KnZVxstmnwG4Jpx/0sRuc/GWDfdK6VUHIAdxsMeAD6wlVQhIsEiMtZWvJXwBW4sLzNTRPraaiwinUSkazXFQkRERETVhAkVREREREREREREVNNMCRHJAPbZ2ednABct+pt8DuBb4/5TAP4nIpOML7UfEpG+IjIDwK8AnjPvqJQqAhBnPIwQkREico+INDdufmZtDwB4z3jYFMBREflERJ4wzvOwiAwXkX8BOA8gGoCPnddX22gADANwWESOishsERkkIh2M19pHRGYCOAXAlHRxCMBy80GUUpcBvGg8rAsgVkT+JSKPi0hrEeksIi+IyBYA31uJYxwMy8IAwOsAzhjbdzTG8ZiIvC4i3xlj6VeF98D8Oq4CGAGgCIZKJpuMCSdhItLOuPUXkekicgzAfhiWOiEiolpi06ZNniLSVkTavvbaa5YJluUKCQkJNvW3d0tNTdVWNu6CggL56quvfAcPHtzk7rvvbuXj49Paycmpja+v74OtWrW6Jzw8vNHXX3/tWVxcbNd4a9as8RoxYkTjZs2atfL29m7t6urapl69eg906NCh5ZQpUwITEhKcyxsjPj7exfw6NRpN299++81qQqulJk2a3Gfe99NPP9XX5PhDhgxpYmu8rVu3eoSGhjZu1qxZKw8Pj4ecnZ3b1K1b94G//e1v9/bu3bvZe++9V/fAgQNutu7/1atXNR9++KF/9+7dmwcGBj7g6uraxt3d/aG77rrr/tatW/9t5MiRjb766ivfc+fOlXvvTcLCwhqbrqFhw4ZlJqxaGjJkSBNTv/j4+Fvu6aeffqov6+fZzc3toQYNGtzfq1evZp999pk+Pz+/3Ophjv4387e//e1ee6+lujjVdABERERERERERER05xKRTgCaGw//Y6wwUS6llBKRDQAmAggWkQ5KqZ+N50pEZBAML/OHAmgJ4BMHwpoDw9IUegAxFudmAJhuFsd0EckEMBeAB4BJxs2a67h5SZE/kwwYKkvUAfCgcbPlWwAjjAkqN1FKrRQRDYCFANxgeIYTrYxxzkrfJBHpCGA3gLuN20IbcVwtJ84KU0rtFJE+MCTK1IMh4WRYTcRCRHemjecuta3pGKrTwMZBh2o6htomKirK56233rrr4sWLtyxLlpmZ6ZSZmel08uRJ95iYmIDGjRsXzJ0798Lw4cOzrI118OBB3bPPPtvk6NGjdSzPXblyxfnKlSvOsbGxnvPnz68/YcKES3PmzLms0dj3t/pKKSxdutRv7ty5l22127VrV51z586VucRaTY1vTXZ2tiY0NLTJtm3bfC3PpaSkOKekpDjHx8e7ffvttz7vvvsu1q5de3ro0KG3/Nu/Z88e96effrpZUlKSZfKCJCYmuiQmJrocO3aszqpVqwL0en1RamrqsfJiy83NlS1btpTGdfHiRdft27d79OnTJ6dCF2un/Px8TVJSkktSUpLL7t27fRYsWBC4adOmMy1atLhefu8/DyZUEBERERERERERUU0abba/3sG+63HjRfxoGKpWAACUUrkAholIDxiqGnSG4aV3EYBEACdhWDbkG8tBlVKbRaQXDIkR7QEEACjzLwSVUp+IyFoAzwN4DIYEER8ABca5/gdDgsF6pVRqWePUZkqpAyISAOBRAN0BtAXQAoakEy0MyQIJMFT3WK2U+q6c8ZaLyA4A/wfgcRiWV3EHcBmGah5bAawqo+85EWkO4D8ABsLwTK/D8IwyAZwG8CMMz9beiicVopTabVzqZRwM1TAehOGelABIgaFKxvcwPPv46oyFiIhqTmxs7Al72vn6+tpXNsKKt956q968efMaKGVYbaxjx45X+/Xrl3nffffl+/n5FaempmpPnTql27Jli88PP/zgde7cOdfp06c3sJZQsW3bNo/Q0NDm2dnZWgBo1apV7ogRI9Jat26d6+XlVXL+/HnnrVu3eq9fv16fl5en+eCDDxqcPHnSbd26dQmurq7Kcjxzrq6uqqCgQNasWaMvL+EhMjJSb97HnvtQ3eOXpX///nd///333gDQqFGjglGjRqV06NAhV6/XF+Xk5Gh+/fVX3Q8//ODx7bff+qSnp1t9B3/8+HHXAQMGtMzJydECQM+ePTMHDx6ccc899xS4urqWJCcnOx85csRt9+7dXj///LOnvbFFRUX5mMZ0c3MrycvL00RGRuqrOqFi8uTJiUOHDs00HScmJjr/8ssvbp999lm9lJQU599++82tf//+zY8fP37Sycl2GkKrVq1yly1bdra8Od3d3W3+vN0OTKggIiIiIiIiIiKiGqOUeh6GRIRbiEhn3PxCvJtSaq9Z370AbP5yXCm1B8CeCsTlUD+lVCKAacbtL0kplQfgvyJyGMB4GBIpXAB4w/Ac6gAIBvC4iOgAHFBKZdsY7xKAKcbN0ViUiAwBsA2GJI9lSqnnyulm6tvdznbTYVaNxEa7XBiWmfncnnFvNxEZC2CZ8XCcUiqy5qIhIvprat++fbVWoPr888/95s6d2wAAfH19i5YvX/5H//79b/k3dtCgQdlvvfVWSmxsrNukSZMaZmRk3PIu+Pfff3cePnx48+zsbK2IYNq0aRenTZt2xbL6RHh4eNbUqVMvDxw4sHl8fLzbpk2b/F555ZXrCxcuTLQVa69evTK3bNnie/bsWd3evXvdu3btmmutXUFBgWzatMkXAB599NHMzZs331L5oSbGt2bNmjVepmSKzp07X92xY8cZNze3m1709+7d+9rEiRPTioqKzkVFRfk0adLklioNb775ZgNT4sMnn3ySMGnSpDSLJnlPPfXU1ffee+9KUlKS0/Lly+2KOTo6Wg8AwcHBeR07dsyOjIysu2nTJt/c3NzzVZmQ0KBBg0Lzn/X27dvnDxo0KPvll19ODQkJuef333/XxcfHu0VFRfmMHTs209ZY7u7uJdX9301Vsa8uCxEREREREREREdHtN7qc4yonIk1ERBm3sdU935+NiIwDEA9DokFnAP4wVIbwhSGZojuAN2GoMLGoOmNRShUDCANwFsCzItKvOucjIiKqCQkJCc5vvPFGYwDQ6XQl3377bby1ZApzISEhefv37/9t4sSJt1RwiIiIaJyVlaUFgH/84x+J06dPvyWZwiQ4OPj6nj17fgsMDCwEgC+//LLe7t27b1kixKJPfqtWrXIBYNmyZfqy2q1du9Y7MzPTydnZWQ0bNizd1pi3c3xrvv7669LEho8//viCZTKFOScnJ4wdOzazXbt2NyULFBUVYffu3d6AoTqDlWSKm9SvX7/orbfeSikvtvPnzzsdOHDAGwCGDRuWNnr06DQAyMnJ0cbExPiU178q+Pn5lbz66quXTMc7duzwuh3z3i5MqCAiIiIiIiIiIqJaR0RcAQwzHprKFQ8TEbcaCumOJyKhAJbAUIkiH8BCAIMAtINhaZSBAGYCOHy7YlJKpRtjuAZgsXFZEiIior+MOXPmBObl5WkA4I033khq27atXX/Vr9Vq8dJLL92USPDjjz+67d271xsAWrZsmffee+/ZXDIDAIKCgormzJlzAQCUUpg3b1698voMHz48DQA2btzoV1hYaLXNypUr9QDQvXv3LL1e79BSKNU9vqULFy64mPZbtWpVUJExkpKSnPLz8zUA0LRp0yqrzLBkyRJ9cXExNBoNIiIi0nv06JHbuHHjAuBG5YrboUOHDqWVQpKSklxstf2zYUIFERERERERERER1UYDAZj+qm6S8dPL+D3dZiKiBfAJDEt7ZAPooJR6SSm1USl1SCl1UCn1jVJqmlKqLYB7AWy4HbEppX5RSnkopeoppcr9S04iIqI/i5KSEqxdu1YPAG5ubiWvvPJKpf6dW7JkSekL9ueeey7ZyemWFUGsGj16dIapSsXOnTt9UlJStLbaR0REpGu1WpWRkeG0fv16b8vzKSkp2u+++84bAJ5++mmblRpqYnxLzs7OpRUpjhw5oqvIGK6urqVjnD59usoShFevXq0HgJCQkOymTZsWAsDQoUPTAGDfvn1eiYmJ9j3kStJqteb7VbbMSG3AhAoiIiIiIiIiIiKqjcYYP08qpZYCOGk8rvZlP8iqEABBxv0vlVK/2GqslDqllFpT/WERERH9dR0+fFiXkZHhBADt2rXL8fPzK6nMeD/99JOnaX/YsGGZ9vbTarXo2bNnJmBI8ti1a5eHrfb169cv6tKly1UAiIqKuqVKQmRkpO/169fFy8urODQ0NMv+K7g941t68MEHS6svTJgwoVFSUpLDSQqBgYHF9evXvw4A8fHxbu+880694uJKFc7Ajz/+6Pbbb7+5ATeqdgBAREREGgAUFxfLkiVL/Co1iZ1++eWX0kSTRo0aXb8dc94uTKggIiIiIiIiIiKiWkVE6gLobTyMMn5GGz97i0igA2N1EpHFIhIvIldFJEdEfhWRr0VktIh4mbVVAM6adV8mIspim17GPMEi8qmInBCRLBHJE5E/RGSZiLSx++Jrr8Zm+2eqYkARCRCRaSJyQESSRaRARC4Yj6eJSLCNvk4i8oyIbBGRJBG5LiJpIrJfRF4XkTLXdxeR74zP8jvjcQMRmS8iZ4zPLU1EtotIXzuvw1dEpojIjyKSaryOJBHZKCKDHb4xRET0pxMXF6crbzt79qyzo+MePHjQ3bRv/lK/ouLj490AICAgoLBRo0ZFjvRt06ZN6fxHjx4tt8JCeHh4GgDs2rXLOz09/aZ30qaqCv369UvX6XQVqmZQ3eObe+mll1J1Ol0JABw+fNijWbNm9/fp06fZzJkz6+7atatOXl6e2DPO+PHjk03777//foNGjRrdP2bMmIZffPGF34kTJ1wdjctUccTV1VWNGjUqw/T9vffee71169bXgBv3ojoVFRXh008/Lf3/87CwsAxb7QEgNzdXY89/N6mpqTarodwOt6XEBxEREREREREREZEDwmH43aXCjUSKaACzAGiN5+fbGkBE3AAsATDCyulg4zYQwAwA0ysTrIhMBTANt/6+talxGyMiM5VS71Zmnhpm/peG91R2MBEJB/AlAMvEh7uM2yMAIgA0sdK3GYBvYFhWxJwfgE7G7f9EpL9S6ng5cXQG8DUA85cNOhgSenqLyBtKqQ9t9H8Chp9NH4tTQQAGABggIpsBDFdK5diKhYiI/rxCQkJalddm8ODBaevXr09wZNzU1NTS/7cwLblRUWlpadqioiIBAH9/f4fHqlevXmkCRlpaWrnvmEeOHJn56quvFufk5GhXrlzpO2nSpDQAOHnypMvhw4c9AGDs2LEVXo6jusc316JFi+tLly79Y/z48Xfn5uZq8vPzNTt27PDZsWOHDwC4uLio+++//1r//v0zXnjhhbTAwECrpSemTZt25dSpU7q1a9f6A0BSUpLLihUr6q5YsQIAoNfrix5++OHskSNHpg0fPjxLoym7NkJRURE2btzoBwC9evXKtKxeEhYWlnb06NE6p06dco+Li9O1b98+vyruhbkLFy44HTx40H3GjBn1jx07VgcA+vTpk/H444+X+/88J06ccLfnv5t//etfCRMnTqyS51hRrFBBREREREREREREtY1puY99SqnzAKCUOgdgv/F7m8t+iIgGwEbcSKY4DeBVAF0AtAXQD8D7uLXSwv0A+pgdTzF+Z779P4u53gPwHgzJFD8AGA+gI4B2MCR+/AhAAEwTkQm2L7tWO2K2/7yI9KzoQCIyGobKI3UA5ANYAOAJAG0AdAXwMoDtAG55GSEiQQAOwJBMkQ3gIwB9jX17AJgDIBeGRIytIuJvI5QgAP8xzvMPAJ1hWNrkNQCmMuhzRMTqL/tF5DEYEjt8ACQAeBNAd2Ms/XGjusqTAJbbiIOIiMiq7Ozs0ne5derUqdRyH5mZmaVjubm5OTyWh4dH6b/L2dnZ5VYNcHd3V0888UQGAKxatao0cXHp0qV6AGjYsGHBY489ds3ROG7X+JZGjBiRdezYseOjRo1K8fb2vun/Ua5fvy6HDh3ymD59esMWLVrc/9lnn1mtCqHVarFmzZpza9euPf3II49ctUyYSEtLc9q8ebNveHh48wceeOAeW1Ur1q9f752amuoM3KjWYW7s2LHpTk5OCrhxTypr0qRJTUSkrWlr1KjRg4MHD25x7NixOq6urmrs2LHJGzduPFv+SH8urFBBREREREREREREtYaI3A/gQeNhlMXpKBiSIh4UkfuVUv8rY5gJAB4z7v8HwAilVIFFm83GyhL1TF8opY6LiPlf1CXaqnAgIu0BvGM8nKWUmmrR5JCIrIbhZfrTAGaLyEqllN1rltcWSqmzIrIJhmQUHYBdInIQwDYAPwP4WSmVUt44IlIfwELjYTKAXlbu8T4An4vIXVaG+ApAIIALALorpf6wOP+diKwDsBeGShdvw5AgYU1LAOcAdFJKJZp9HyciccYxnAA8B2CSxXXUAbAShoopOwA8pZQyL8V+BMAmEdlrjHmwiPRSSu0qIxYiIvoTU0odqo5xPT09SxMfrl27Vqk/lPfx8SkdKzc31+FlFMyTKDw9Pa1WYLA0duzYtDVr1vjHxsZ6njlzxrl58+aF69at0wPA0KFD0x2N4XaPb6l58+aFK1asOF9YWHh+//797j/88IPH0aNH3ePi4jzOnTvnChju04QJE5oUFxfDVDXD0tChQ68OHTr0akpKinbnzp0ecXFxdUzj5OTkaAFDBYcePXoEx8XFnWrcuPEtFUVWrFihBwAfH5+iIUOGXLU8X69eveIuXbpc3bNnj/eGDRv0n332WaJWW32rZ7Rq1era22+/fcXV1dWuJVbat2+fExsbG19tAVUhVqggIiIiIiIiIiKi2sRUnaIAwFqLc2uM35u3u4mxOsUbxsNEAKOtJFMAAJRSJUqppErE+iYMv2M9BMOSH1bngCHBowCAJ4ChlZivpo0DcNDsuB0MVTz+CyBZROJFZIGItLExxgQApvXgn7eVsKKUumh+LCL3wZDQAQAvW0mmMPU7jBuVREaJiK11zSdYJFOYxtgPQ6IIYEjisTQOhsSOfACjLJIpzMdZBCDWrA8REZHd/P39S5fZuHLlinNlxtLr9cVarVYBNy8lYq/Lly+X9tHr9UW22pr06dMnp379+teVUli6dKl+586ddUyJBxEREZVexqG6xy+Ls7MzevTokfvOO+8kr127NiEhIeH43r17T7Vp06Y0MXfatGkNMzIybL6LDwgIKB4xYkTW/Pnzk3bv3n0mOTn52CeffJLg5eVVDAApKSnOkydPrm/ZLy0tTbtr1y4fAOjXr19GWUkMI0eOTAOA5ORk52+++carMtcMAJMnT06MjY09ERsbe2L//v0nV65c+Xu/fv3SRQSHDx/26N69e3BSUtJfrqADEyqIiIiIiIiIiIioVhARLYCRxsPNlpUcjMdbjIcjje0ttQbQwLi/SClV7hrOFYzVGYalJgBgnVKqzL/GM8ZtqqbRsTriuR2UUqkAHgHwIoBfrDRpCcNyHYdEZKWxioOlJ42fZ2FYlsURA42fuQA2l9N2r/HTH0DTMtpkljOO6a+N77YRy/dKqWQ7Y/nTPnsiIqoZ7dq1K03YO3bsmLuttvYIDg7OA4DU1FTn8+fPO/Ti+8iRI6X/rrdu3TrPnj4ajQZDhgxJA4A1a9boIyMj9cb+1+677z6rCa+OqO7xHdGlS5fcPf+fvTuPr6q6+j/+WRmAQJjnoQIVoVXQCooDCAIyKdahgqCiOPvYWmtrq49axLmtrb9KB6tiZYYHpIqKOIE4UKsIjiiIRRBFIBBmQiDJ+v1xziWX683NvSEhCXzfr9d53X3O2Xufde6J1uasrP3aayuOOOKIfIBt27alP/fccyklMWRlZfmNN9646Z///Oe+pNEXX3yxYWHh/gVBxo8f3zA/P98AJk+e3DR6GY7o7eqrr9733zATJkw44GU/WrduvffEE0/cfeKJJ+7u0aNH3iWXXLLlueee+/KBBx74CmDt2rU1Ro4c2fZAr1PVKKFCREREREREREREqooBQMuwHbvcBzHHWwJnxDl/fFT7jTjny8vRFFdaeMDMPNFGUM0BopYYqY7cfa+7/8PdjwPaAhcDfyJYpiO6HPUlwLPRSS9hEkrncPfNREkoJYh8h7WBfDMrKGlj/2SNZiXMtyKsIFKSSKnwugliGZjEs7857Futn72IiBx8Xbt23d2gQYMCgPfeey87Nzf3gN7tnnzyyfsSTWfMmNEg2XGFhYXMnz+/PgRJDP369Us6YfWqq67aBPDf//631lNPPdUEYPjw4eVWPaKi509FvXr1is4777x9S42sWLGiZlnm+clPfrKtRYsWeyBIzFi/fv1+yS9Tp05NOTni5ZdfbrB169YKyQ245ZZbcnr37r0VYP78+Q1mz54d77+dqi0lVIiIiIiIiIiIiEhVcWn4mahywJzwfHT/aE2i2t+WU1zxlPSSvjQH/NelVYW7f+XuU939ZnfvRZAw8AAQSVLoC4yIGtIIiCy/UZZnE/2dp5eyRf/uu1YJ88VdpiNK5D72+z16mBiS9EuoKIfMsxcRkYMjLS2NYcOGbQLIy8tLGzt2bNMDme/KK6/cGGk//vjjzQoKklq5gwkTJjSMLDnSr1+/LU2bNi0sbUzEsccem9+lS5edAPn5+ZaZmemjRo3KLW1cVZk/Va1atdqXYJqWVvZX8c2aNYueZ18S6qefflpjyZIl2QBDhgzJffTRR1cm2v73f//3Gwh+fiZOnNiwzAGV4sEHH/w6ssra6NGjW5fSvVo55NYwERERERERERERkerHzOpRvIxCA4IKBKUNO9fM6rr79hLOp1oBIRXRy438GngxyXE7KyCWKsHdc4HbLHhwt4aHhxK/2khZnk3kO1/h7h3LML68RD/7GcA9lRWIiIgc+m699db1EydObLp79+60P/zhD63OOeecrccff/zu0sYVFhby6KOPNrr++uv3JReceuqpeT169Ni2cOHCep9//nnW6NGjW9x///3rEs3z7bffZtx2223fAzAzbrnlloT947nooos23XnnnbUB+vbtu6V58+ZJJ2RUhfmLioqSTo5YvHjxvgTK73//+2VadmT79u1p//3vf7MAsrOzC5s1a7bvfsaNG7cvefg3v/nN+tNOOy1hgmhhYSGPPfZY802bNmVMnTq18Q033FAh1TtOPPHE3f3799/y8ssvN/joo4/qPP300/XOO++8bRVxrYNNFSpERERERERERESkKhgGZKU4pjZwQcyxjVHtVgcUUWLRv4zOdPdPkty+rMCYqorHo9odotq5FFd9KMuziXznR5hZmUpolwd3301xdYsGKTz7TyorZhERqb7at2+/93e/+91XEFQZOOOMMzrNmTMnO9GYxYsX1zrttNOOGjt27HeWm3ryySdX161btxDgd7/7Xeu77767WVFR/BWwPv/88xp9+vTpGKlOcdVVV63v169fysmht956a05+fv6S/Pz8JXPnzl2Z6vjKnv+SSy454tZbb22xfv369ET9nn766XqzZs1qDJCVlVV09tln70so2Lp1a9qxxx77g2nTptUvLCw536OwsJArr7zyezt37kwD6Nev39boZI6ZM2c2AmjVqtWe0pIpANLT0xkwYMBmgHfffbfuF198kVnamLIaPXr02kj7/vvvb5mob3VSkRUq9v2fnyOb16VRdqX9962IiMghI63okPlvEBERERERqeYse7/f46eaCBFPZPmOb4FfJtH/98AR4bgno44viWr3Al5LMY5kKycsBfYANYABBEtdSGBtVHvfGxp332tmnwDHAqeZmbl7KpUq3gfOBGoCfUi+KkhFeB/oAfQws9ruXuoLDRERqbo++uijrLFjxzYurV/fvn13dO7c+TtVBxYtWlTS8lL76dChw56GDRvGz15I4MYbb9z09ddf1/jjH//YKjc3N2PIkCGdevTosW3IkCFbjjnmmN2NGjUq2LhxY8ayZctqvfjii/XffPPN+oWFhXTq1Ckvdq6jjjpqz7Rp074YPnx4hx07dqTfeeed35sxY0bjiy66aOPxxx+fl52dXbRmzZrMuXPn1p81a1bjvLy8NIBBgwZtHjt27Depxn4oyM3NzZg2bVrThx56qFXv3r239urVa3uXLl3ymjZtWlBQUGDLli2r9fzzz9d/4YUXGkWSU2699dZvGjVqtN+z/vjjj+tcdNFFHX7xi1/sHThw4JZTTjllx/e///099erVK8zNzU1fvHhx7cmTJzdZsWLFvuoUv//97/d95y+++GL2119/XRPgrLPO2pxs/EOHDt0ybdq0pkVFRTzxxBONH3jggZSrjCSjR48eeaeffvrWBQsW1H/vvfeyX3zxxexBgwbtiNd3165dacn+c9O1a9fd6ekJc1kqVEUmVJwcadw9onsFXkZERORw0rOyAxAREREREYnnZGBFWQebWXuK/w/PLHefnsSYE4BfAb3N7Ah3/yo89SGwBvgecJWZ/cnd4/4itwTRJbRL/Csxd99lZvOAwcDpZtbd3d9N4TrVSorJDydEtWMrcjxHkFDRnmCJl2dSCGM2cHvY/o2ZvZRiQkZ5epYgoaIO8FPgwUqKQ0REysG8efMazJs3r0Fp/R5++OFV8RIqunfvfkwy15k4ceJ/R44cuaUsMT744IPfdu7cOe+222773tq1a2ssXLiw3sKFC+uV1L9Dhw6777///q/jnTvrrLN2zJs3b/nVV1/d9qOPPqqzdOnS2rfffvsR8frWxqJ7EQAAIABJREFUqlWr6Prrr1/3hz/84dvKfKldmVq2bLkXYO/evfbqq682ePXVV0v8WalZs6bffPPN34wePXpD9PHMzExv0qTJ3o0bN2Zu2LAhc9KkSU0nTZrUtKR52rZtmz9p0qSVnTp12hM5Nn78+H1JPxdeeGHSCRVDhgzZVr9+/cKtW7emz5gxo8ISKgB++9vffrtgwYL6APfee2/LQYMGxf3/CEuXLq2d7D83OTk5HzRp0qRcl3FJRUUmVIiIiIiIiIiIiIgkYyRgYfupJMc8RZBQYeH4+wDcvcjMHgTGAm2AiWY23N33xE5gZmlAC3ePrqiwieLKE0eWEsN9wKAwhulm1t/d/xuvo5mlAxcCb7h73JcbVdxgMxsFPODu75fUycwaEXz3EbNjuvwV+AVBIsKjZvZFSUthmFmb6O/K3ReZ2csEFUH6AH8ws9+UlFRhZp2AU9x9fKl3l7p/AL8GmgD3mNkn7j63pM5m1gNId/c3KiAWETlMndO25eLKjkEOrssuu2zLhRdeuHX8+PENX3zxxfoffvhh7dzc3MydO3emZWdnF7Vu3Tq/a9euO4cOHbp5yJAh26OXiojVvXv3vA8//HDZ9OnT6z/99NMNFi1alJ2Tk5OZn5+f1qBBg4K2bdvm9+/ff+vVV1+9qX379nsP4m1WOU8++eSa2267bf3s2bPrvfXWW3WXL1+etXbt2ho7d+5My8zM9Lp16xZ26NAhr1evXtuvuuqqTR06dPjO91W7dm1ft27dR/Pnz6/z0ksv1Vu0aFGdlStX1tq0aVPmnj170rKysgqbNm269+ijj847++yzt1x22WWba9Wqte+/cXbt2mVz5sxpCNCsWbO9ffr0SXrplczMTPr377/lqaeearxy5cpar7/+eu3evXtXSHWtvn377jz11FO3/fvf/663cOHCeq+99lrtPn36VOtKXlaBCbxHAZ8DvHHuueTn5FTUdURERERE5DBz0k9+UtkhiIiIHPYsO5u611wT2e3IgVWoWAF0ADYALd291FLYZmbAVwRJE8vd/QdR59IIloPoHx76HPg78B6wC2hBUFVjBDDV3cfEzP0WQfWBTcANwAdA5Bfjue6eG9V3DHBnuLsDeAJ4mWDpkppAO+AU4AKgFdClpASCBPfajuJKDxPcfVScPquAtsBqd28X5/x44LJwt727r0oxhiEE1SUgqAIyB1hEcJ97gGYEVUauCdsAi4GT3b0gZq6RwMRwNw94HJgLrAOygc7Aj4FO7n5kzNhWBM8xsibmYmBcGNNuggSH44AhBEu+/MvdL4iZYwHQG3jd3U9PcM9jCJ+tu1uc82eEcWcQLG0yK9wiSTUtgW7AeQRVOW5w97+WdL0EcaziAJ5tmAgTWRbn8gpKMBGRcrB48eIXMjIyjq5Vq1aDTp06fVHZ8YiIVEfLly/vsHv37i0FBQWfduvW7cwDna8iK1TsW5MnPyeH3esqrHKIiIiIiIgcZnz79soOQURERPb3nfW5kxX+5X6HcPfpZJIpANzdzexfwM+BTmZ2kru/E54rMrNzgQkEiQwdgT+nENYDBMkDjYGpMefuAsZExTHGzLYAvyNIBrgx3OLZw/5LilQnm4GdBJUljgu3RF4BRsQmUwC4+6Qw6eURIIvgGf48zhyr44xda2anADOBEwkSFroliGNbKXGWmbu/amYDgSkESTpDw+2gxyIiIiIiFaMiEyqyIo26Rx9NzaYlLgEjIiIiIiKSkrSWLUvvJCIiIhXKsrOjd7NK6peES6Pas1IcO4viF/GXAu9ETrj7LmComfUBLieontACKAC+AT4lWDbk2dhJ3X2OmfUjSIw4EWgKZJYUhLv/2cxmAtcSVMXoADQA8sNrfUyQYDDL3TemeI9VgrsvNLOmwBnA6QRJDEcRJJ2kEyQLrCKoWjHd3ReUMt+EcPmOnxIsm3IkUJugSsVXBJUfppUwdrWZnQScQ7CMyklAc4JntIWgWsrbBM/2zTLeclLcfb6ZHUnwMzaEINGkMUHFihzgM+B1gme/vCJjEREREZHyV5FLfkSXbRMREREREREREZFD16XApMoOQkREpDrTkh8iIgeuvJf8SCuPoEREREREREREREREREREREQOJRW55Md/Io03zj2X/JycCryUiIiIiBwqLv/jHys7BBERERFJQssaNVjUrVtk9z+J+oqIiIiIiFRHFZlQkRdp5OfksHvdugq8lIiIiIgcKr7Jz6/sEEREREQkdXmldxEREREREaletOSHiIiIiIiIiIiIiIiIiIiISAwlVIiIiIiIiIiIiIiIiIiIiIjEUEKFiIiIiIiIiIiIiIiIiIiISAwlVIiIiIiIiIiIiIiIiIiIiIjEUEKFiIiIiIiIiIiIiIiIiIiISAwlVIiIiIiIiIiIiIiIiIiIiIjEyKjsAEREREREREREREREkmVm6cCvgNrAMnefXskhiYiIiMghSgkVIiIiIiIiIiIiIlJtuHuhmX0DTAYKzWy1u79d2XGJiIiIyKFHS36IiIiIiIiIiIiISLXi7lOAh4B0YJKZ1ankkERERETkEKSEChEREREREREREamSzKynmXnU1quyY6oMZtYu6jsYX0KfVeH5VSWcHx81R7sDjKe1md1pZm+aWY6Z7TGzXDNbZmavmdnvzGyQmdU9kOsk4TfAq8CRwP+r4GtVmnjP1sxqmdmWyHEzsxTnnBT183BCuQctIiIicohQQoWIiIiIiIiIiIhUVZeWsl/uYpIXRlX09aobM7scWA6MAXoCTYBMoCHQCTgduAWYCzxekbG4eyFwIfAlcLWZDanI61Ul7r4bmBnutgVOS3ZsWM3jvHD3M3d/r5zDExERETlkKKFCREREREREREREqhwzqwkMDXd3hJ9DzSyrkkI67JnZMOAJoA6wG3gEOBc4ATgROAe4B1hysGJy99wwhp3AODNrerCuXQVMjGqPTGHceQTPEGBS+YUjIiIicujJqOwAREREREREREREROI4B2gQtm8keJFfLzw+vbKCOlyZWTrwZ8CA7UBPd/8oTtdngdFm9kOgy8GILYwj+2Bcqypx9zfNbCXwfYJkoxvCyhWliSRfFAGTKyxAERERkUOAKlSIiIiIiIiIiIhIVXRZ+Pmpu/8T+DTcr/BlPySu7kDLsP1oCckU+7j7Z+4+o+LDOuxFKkzUB84urbOZtQT6hbsL3H1NRQUmIiIicihQQoWIiIiIiIiIiIhUKWbWDBgQ7kb+gn5K+DnAzJqnMFcPMxtnZsvNbJuZ7TCzZWb2jJldamb1ovo68GXU8CfNzGO2MSVcp5OZjTWzpWa21czyzGylmT1pZl2Tvvmqq21U+4vymNDMmprZaDNbaGYbzCzfzNaE+6PNrFOCsRlmdqWZvWBma81sj5ltMrO3zOxmM6uTYOyC8FkuCPdbm9lDZvZF+Nw2mdlLZjY4yftoaGZ3mNnbZrYxvI+1ZjbbzM5P+YtJTarLflwEpMcZKyIiwEsvvZRtZt0i29y5c0utgPT888/XjR4zZMiQ75c25ic/+Um7SP9E/b788svMX/3qVy27devWqWHDhsdlZmZ2rV+//o/at29/zEknndTx+uuvb/3UU0/V27x5c9x3vq1bt+4SHVtpW926dX+U6P5++ctftirt3mJ17969U/Q1fv3rX7csfRTccsstLaLHde/ePe5/F8TOn8y2cePG9HhzicSjJT9ERERERERERESkqrmY4HeXTnEixRTgXoKXwRcDDyWawMyyCJYJGRHndKdwOwe4CxhzIMGa2W+B0Xz3963tw+0yM7vH3e88kOtUsj1R7R8e6GRmdjHwKBCb+NAm3E4FrgDaxRl7JMHSIkfHnGoE9Ai3n5rZ2e7+SSlx9ASeARpHHa5FkNAzwMx+7e5/TDD+TIKfzQYxp1oCPwZ+bGZzgOHuviNRLGXh7ivNbCHBPQ8ysybuvjHBkEjSxU5gVnnHIyIH14wZMxK+jK/uhg0btvhgX3P8+PGNY/cHDx6c0r+/X3jhhYbvvvtuVvfu3fMOJJaHH3648f/+7/8ekZeXt1+yxLZt29K3bduWvmrVqlrvvvtu3UceeaTFWWedtfn5559feSDXO1hmzpzZ+MEHH/w2mX4HIx6R0iihQkRERERERERERKqayHIfb7r7VwDuvtrM3gJOI1j2o8SECjNLA2YD/cNDK4C/A+8Buwhedp8KDIsZ2gVoBbwU7t8RzhNtQ8y17gZ+G+7+G/gnsBTYS5C08TPgFGC0mW10978kuvEq7P2o9rVm9qy7zy/LRGZ2KTAh3N0NPA7MBdYB2cCxBMtXHBVnbEtgIdAc2A48BrwKrCdY9mIAcCNBIsZcMzs+QYJBS+BpoBC4FXiLIHGkJ0GCTAPgATOb6+5L48TSnyCxIx1YBTwCvANsA1oDFwKXAGeF9/uT0r+dMplAkFCRCQwH/hqvk5l1AY4Ld5+uiAQPEZHqLC8vz+bMmdMQoHbt2kW7du1Ke+GFFxru2LHjq+zsbE92HnfnjjvuaPXyyy//t6yxjBs3ruFNN93Uzt2pWbOmX3DBBRsHDRq0rW3btnvcnTVr1mQuWrSoziuvvFL/008/rV3afE2bNt07Z86cz0vrl55ecYUbatas6fn5+bZ69eqa8+fPr9O3b9+dJfV9/fXXa3/55Ze1osclc4133333O/97HU/Dhg0Lk4taRAkVIiIiIiIiIiIiUoXEvPSdHHN6MkFCxXFm1sXdPy5hmhsoTqZ4Ghjh7vkxfeaElSVaRA64+ydmFv2S+ZtEFQ7M7ETg9nD3Xnf/bUyXxWY2neCF9yXAfWY2yd23lDRnVeXuX5rZ88AQggoO88zsPeBFgiSCd9w9p7R5zKwVQeIBBMkp/eJ8x28CfzOzNnGmeIwgmWINcLq7x/417gIzewp4g6DSxW3AL0sIpyOwGujh7t9EHV9kZovCOTKAawiSNKLvow4wiSCZ4mXgPHffFdXlfeB5M3sjjPl8M+vn7vNKiOVAzADGEjyXkZSQUMH+S4JouQ8RkRhTpkxpsH379nSA++6776ubbrqp3Y4dO9KnTp3a4JprrtmczBwNGjQo2LJlS8Yrr7zS4K233qrds2fPXaWP2l9BQQG33Xbb99ydOnXqFM2bN2/ZSSed9J1qFxdffPFWYO2SJUtqLVmyJCvRnJmZmX7iiSfuTjWW8tS4ceO9jRs33vvxxx/XGT9+fONECRVPPvlkY4Bjjz1258aNGzPXrl1bI5lrVPY9yqEp7no6IiIiIiIiIiIiIpUkUp0iH5gZc25GeDy6337C6hS/Dne/AS6Nk0wBgLsXufvaA4j1FoLfsS4mqGgQ9xoECR75QF3gggO4XmW7nKDKR8QJBFU8ngM2mNlyM/uLmXVNMMcNQOQvaa9NlLDi7l9H75tZZ4KEDoCfxUmmiIxbQlCRBGCkmSX6q9YbYpIpInO8RZAoAkEST6zLCRI7dgMjY5Ipoud5HHg3aky5c/etBJUyALqb2XfWmA//ubgo3P0GqIjEDhGRam3y5MmNAY488sjdv/jFLzYdeeSRuwGmTJmS9NITV1999YYaNWo4wOjRo1uVJY4FCxbUycnJyQS4+OKLc+IlU0Tr2rXr7quuuiqphI/KNmLEiE0Azz33XMOSqk7s3buXZ599thHA8OHDNx3M+ETiUUKFiIiIiIiIiIiIVAlmlk7xS985sZUcwv0Xwt2Lwv6xfkSw3ALA4xW1rIGZZQKDw92n3L3EUuBh3JFqGqdURDwHQ7h0xqnA/wAfxenSkWCJk8VmNims4hDrrPDzS767nEppzgk/dwFzSun7RvjZBGhfQp8tpcyzOPz8foJYXnf3DXHOx4ulIp/9hKj2JXHO96X4n4spYaKPiIiEvvnmm4y33nqrHsDQoUM3AVxwwQWbABYuXFh/zZo1SVX9b9OmzZ4RI0bkALz22mv158+fH+9/CxNauXLlvmoMHTp0OKQqLlx++eW5GRkZvmXLloynnnqqXrw+M2fOrL958+aMjIwMHzVqVLVIFJFDmxIqREREREREREREpKoYALQM27HLfRBzvCVwRpzzx0e134hzvrwcTXGlhQfMzBNtBNUcIGqJkerI3fe6+z/c/TigLXAx8CeCZTr2RnW9BHg2OuklTELpHO6+mSgJpQSR77A2kG9mBSVt7J+s0ayE+VaUkliQG37WTRDLwCSe/c1h34p89i8B68P2JXGqckQv9zGpAuMQEamWxo0b16iwsNDMjCuuuCIX4Iorrsg1MwoLC3niiSeSrlJx1113ratVq1YRlK1KRc2aNff97+Nnn32WcCmP6qZFixaFvXr12grFFUFiRY736tVra8uWLQsOZnwi8SihQkRERERERERERKqKS8PPRJUD5oTno/tHaxLV/rac4oqnpJf0paldepfqwd2/cvep7n6zu/ciSBh4AIgkKfQFRkQNaQREXvSX5dlEf+fppWzRv/uuVcJ8pa1rH7mP/X6PHiaGNEgu5P1U2LN390JgarjbDugZOWdmtYHzw933Ey2zIiJyuJo2bVoTgG7duu046qij9gB07NhxT9euXXcATJ8+PemEirZt2+695JJLcgAWLlxY76WXXspOJZaTTjpp3/8+TZ06temzzz4bL7Gv2rrkkktyAebPn99g48aN+1Ub27RpU/r8+fMbRPcTqWxJlacRERERERERERERqUhmVo/iZRQaEFQgKG3YuWZW1923l3A+1QoIqYh+AfBr4MUkx+2sgFiqBHfPBW4LqyPcGh4eSvxqI2V5NpHvfIW7dyzD+PIS/exnAPdUViAxJgA3he2RBFVDAM4DIi/zJh7soEREqrp33303a/ny5VkAw4cP3xR9bvjw4ZsWL16cvXz58qx33303q3v37nnJzHnXXXetmzJlStO8vLy0O++8s9XAgQM/TzaeH/zgB3v69Omz9bXXXqufn59v55xzTsdjjjlmV79+/baefPLJO3v37r2zVatWKVVu2Lt3ry1atKikBMN9WrVqVdC6desKrQoxfPjwLTfeeGPh9u3b0ydMmNDwV7/61cbIuQkTJjTMz8+3unXrFg4fPnxLonniSeYemzRpUti+ffu9pfUTiVBChYiIiIiIiIiIiFQFw4BUy1rXBi4Anow6tjGq3QpYfoBxlST6hUum/up/P49TnFDRIep4LkHVhzSCZ5OqyHd+hJnVdPf8sodYdu6+28x2Efz8Nagqz97dPzSzj4BjgaFmdkP4HUWW+yiguIqFiIiExo0b1xigRo0aftlll22OPjdq1KjNt99++xF79uyxcePGNe7evfvXyczZqlWrglGjRm145JFHWrzzzjt1n3vuubpnn312SQmg3zFlypRV/fv3P2rp0qW1AZYuXVp76dKltceOHQtA27Zt83v37r316quv3tSzZ8/SKi6Rk5OT2b1792NK63fTTTd9+9BDD61NNs6yyMrK8iFDhmyeNm1ak+nTpzeOTqiYNm1aY4Czzjprc1ZWVsrJl8nc4/nnn79p1qxZq1KdWw5fWvJDREREREREREREqoLI8h3fEiwTUdr2Vcy4iCVR7V5liCPZX94vBfaE7QFluM6hLPpFTGTZDNx9LxBJPjjNkihBEuP98LMm0Kfs4ZWLSCw9wiU1qopIBYoGwNlm1gI4Izz2krtvqJywRESqpoKCAp555plGAKeffvrWJk2aFEafb9KkSWHv3r23AjzzzDONCgqSL94wevTodXXq1CkCGDNmTEqJhC1btixYvHjxst///vdfdezY8TtVMVavXl1z4sSJzU477bQfnnvuue23bdtWrd75XnbZZZsAwuofNQA+//zzGosXL86OPi9SFVSrf7hERERERERERETk0GNm7YGe4e4sd59e2gbMDPv3NrMjoqb7EFgTtq8ys5TWLQd2R7VrltTJ3XcB88Ld082se4rXqVZSTH44Iar9Zcy558LP9hQv8ZKs2VHt35QhIaM8PRt+1gF+WolxxJoCRF4GjgQuoniJEi33ISIS41//+le9nJycTICLL7447kv8yPGcnJzM2bNn10t27hYtWhReddVV6wGWLFmSPWvWrKTHAtSsWdN/85vf5CxfvvzTzz///ONHHnnky6uvvnp9t27ddmRkZOxLAJ09e3ajgQMHdkiU7NGqVas97r64tK2iq1NEDBw4cEebNm3y3Z1//vOfjSCoFOLutGrVas+AAQN2lGXeZO5R1SkkVUqoEBERERERERERkco2Eoi8HH8qyTGRfkbxkga4exHwYLjbBphoZjXiTWBmaWYW+xejmyiuPHFkKTHcR3FFi+lmVmJ/M0s3s4vMrE0pc1ZVg81shpkdn6iTmTUCxkYdmh3T5a/AzrD9qJl1TjDXft+Vuy8CXg53+wB/SJRUYWadzGxUongPwD8oXl7mHjMbnKizmfUws7JUTEmJu6+j+DsaDFwbtrdSnAQiIiKhSZMmNQaoW7du4bBhw7bG6zNs2LCtdevWLQSYMGFC41Tmv+OOO9ZHxt51111lWe4KgKOOOmrPddddl/vYY499/d577y3/+uuvP/zpT3+6Li0teNX7n//8p+5jjz3WqKzzV4YLLrggF2DGjBmNAWbOnNkoPL4pcl8iVYF+GkVERERERERERKSyRRIiNgBvJjnmHSCyjvnImHN/A14J2+cBH5vZjeFL7ePNbLCZ3QUsA66JHujuBcCicPcKMxthZj80sw7h1iiq70Lg7nC3PfCBmf3ZzM4Mr3OymQ03s4cJliiZQrAUQ3WUBgwFlpjZB2Z2n5mda2Ynhfc60MzuAT4DIkkXi4EJ0ZOEL/z/J9xtBrxrZg+b2SAz+5GZ9TSz68zsBeD1OHFcTrAsDMDNwKKw/ylhHP3N7GYzWxDGMqQcv4Po+9hGsPRMAUElk+fDhJMLzeyEcDvbzMaY2YfAW8CxFRFLHJFKFJlAx7A9w913l9BfROSwlJubm/bqq682ANi+fXt6VlZWVzPrFrvVrl276/bt29MBXnnllQabN29O+v1qkyZNCq+99tr1AB9//HGdadOm1S+P2Js3b17417/+9ZvrrrtuXeTYrFmzGpbH3AfLlVdeuQlg1apVte6///6mq1atqgVwxRVXaLkPqVIyKjsAEREREREREREROXyZWQ+gQ7j7dFhholTu7mb2L+DnQCczO8nd3wnPFZnZuQQv8y8geKn85xTCeoBgaYrGwNSYc3cBY6LiGGNmW4DfAdnAjeEWzx72X1KkOtlMUFmiDnBcuCXyCjAiTFDZj7tPMrM04BEgi+AZ/jzOHKvjjF1rZqcQLPlyItAt3EqyrZQ4y8zdXzWzgQSJMi0IEk6GVkYsMZ4hqEgR/dJOy32IiMQYP358o927d6f0x+e7d+9OmzhxYsMbb7wx6Zf+t9122/px48Y127JlS8Y999zT6sILL4xbCaMsfvrTn+b8/e9/bwGwevXqWuU178HQuXPn/B/96Ec7P/jggzp333339wC6dOmy87jjjsuv7NhEoimhQkRERERERERERCrTpVHtWSmOnUXxi/hLCapWAODuu4ChZtaHoKpBT4KX3gXAN8CnBMuGfGcZBHefY2b9CBIjTgSaEvy1f1zu/mczm0mwvEJ/ggSRBkB+eK2PCRIMZrn7xpLmqcrcfaGZNQXOAE4nSGI4iiDpJJ0gWWAVQXWP6e6+oJT5JpjZy8BPgUEEy6vUBtYRVPOYC0wrYexqMzsJOAe4EDgJaE7wjLYAK4C3CZ5tshVPysTd54dLvVxOUA3jOILvpAjIIaiS8TrBs19ekbFExbQ7/Hm8Kjy00t3fOhjXFhGpTqZOndoYoGnTpnvvvffeNaX1HzNmTJtvv/22xtSpUxunklDRsGHDouuvv379/fff3/qzzz6rPXny5HKrVtWuXbu9kXZaWpon6lsVDR8+fNMHH3xQJz8/3yL7lR2TSCwlVIiIiIiIiIiIiEilcfdrCRIRyjL2DcBK6fMa8FoZ5k5pnLt/A4wOt3Ll7qso/T7blXJ+FDDqAOPII6jc8dyBzBM137fAHeGW6lgnqMTwTBnGnp5kvzFEVSNJ0G8XwTIzf0s1liTjaFeGMVcDV5d/NCIih4Zly5bVWLJkSTbA4MGDN19zzTWbSxvz3nvv1Xn88cebL1q0qO6KFStqHHXUUXuSvd4tt9yy4R//+Efz3NzcjHvvvbdV586dd5XUt6ioiLS05ApnvPnmm3Ui7TZt2iQdT1UxatSo3HvuuafN3r17LSMjwy+//PJSn4PIwZZSGRsRERERERERERERERERkeps3LhxjYPcPBg2bFhSL/EvvPDCzQDuzrhx4xqlcr169eoV3XDDDesAVqxYkfXaa6/VL6nvzJkz65955pnfX7hwYVaiOdevX59+0003fS+yf/bZZ29JJaaqoHnz5oU7dux4Pz8/f8nOnTvfb9my5XeWChOpbKpQISIiIiIiIiIiIiIiIiKHjZkzZzYGaNSoUcGgQYN2JDOmT58+O5s3b753/fr1mTNmzGj8+9//fl0q17z55ps3/P3vf2+ek5OTuWXLlhLf0RYVFTF37tyGc+fObdipU6e8/v37b+3evfvO1q1b761Zs2bRunXrMt94443syZMnN83Nzc0AOOaYY3b97Gc/K3FZsb1799qiRYtqJRPnMccck1+7du24y4d89NFHWWPHjm1c2hx9+/bd0blz5/xkrleekr3HDh067GnYsGFRRccjhwYlVIiIiIiIiIiIiIiIiIjIYeHll1+u89VXX9UEGDhw4Ob09PSkxqWlpTF48ODN48ePb7Zq1apa8+fPr9O3b9+dyV43Ozvbf/GLX3x7++23H5GoX+PGjQuysrKK8vLy0pYvX561fPnyhJUqTj311G2zZs1amZmZWWKfnJyczO7dux+TTJwLFy789NRTT82Ld27evHkN5s2b16C0OR5++OFVlZFQkew9Tpw48b8jR46sdhU9pHIooUJERERERERERERERESkmhnpJYdlAAAgAElEQVQ2bNjiyo6hOho/fnyTSHvo0KEpvVQfNmzY5vHjxzcDePLJJxunklABcNNNN238y1/+0mLdunU1SuozYMCAnRs2bPjg2Wefrffaa6/V/fDDD+usWrWq5tatWzMKCwvJzs4uat26df5xxx2386KLLto8ZMiQ7anEICKpscj6QBWgDbAG4JUePdi9LqWqNyIiIiJymPrxE09UdggiIiIikoTWNWvy9SmnRHa/B3xdieGIiIhUe4sXL34hIyPj6Fq1ajXo1KnTF5Udj4hIdbR8+fIOu3fv3lJQUPBpt27dzjzQ+dLKIygRERERERERERERERERERGRQ4kSKkRERERERERERERERERERERiZFR2ACIiIiIiIiIiIiIiyTKzdOBXQG1gmbtPr+SQREREROQQpYQKEREREREREREREak23L3QzL4BJgOFZrba3d+u7LhERERE5NCjJT9EREREREREREREpFpx9ynAQ0A6MMnM6lRySCIiIiJyCFJChYiIiIiIiIiIiFRJZtbTzDxq61XZMVUGM2sX9R2ML6HPqvD8qhLOj4+ao90BxtPazO40szfNLMfM9phZrpktM7PXzOx3ZjbIzOoeyHWS8BvgVeBI4P9V8LUOKjM7Jep5TUhxrJnZ6nBsrpnVqKg4RURERA51SqgQERERERERERGRqurSUvbLXUzywqiKvl51Y2aXA8uBMUBPoAmQCTQEOgGnA7cAc4HHKzIWdy8ELgS+BK42syEVeb2DKVzCZEW4e36KFTh6AUeE7f9z9z3lGpyIiIjIYUQJFSIiIiIiIiIiIlLlmFlNYGi4uyP8HGpmWZUU0mHPzIYBTwB1gN3AI8C5wAnAicA5wD3AkoMVk7vnhjHsBMaZWdODde2DYFL4mU1wj8kaGdWeWH7hiIiIiBx+lFAhIiIiIiIiIiIiVdE5QIOwfWP4WS88LgeZmaUDfwYM2A6c5O7Xu/tsd1/s7u+5+7PuPtrduwFHA/86GLG5+0funu3uLdw952Bc8yCZCHjYHpmoY4SZ1QIuCHdXhJUuRERERKSMlFAhIiIiIiIiIiIiVdFl4een7v5P4NNwv8KX/ZC4ugMtw/aj7v5Ros7u/pm7z6j4sA5d7r4aeCPcPcPMWibqH/oxUD9sT0rUUURERERKp4QKERERERERERERqVLMrBkwINydHH5OCT8HmFnzFObqYWbjzGy5mW0zsx1mtszMnjGzS82sXlRfB76MGv6kmXnMNqaE63Qys7FmttTMtppZnpmtNLMnzaxr0jdfdbWNan9RHhOaWVMzG21mC81sg5nlm9macH+0mXVKMDbDzK40sxfMbK2Z7TGzTWb2lpndbGZ1EoxdED7LBeF+azN7yMy+CJ/bJjN7ycwGJ3kfDc3sDjN728w2hvex1sxmm9n5KX8x+4ss2ZEOjEiif6SShaOECpHqyAHc3So7EBGR6irq36GesGOSlFAhIiIiIiIiIiIiVc3FQAbBL0EjiRRTwv308HxCZpZlZlOBt4ArgY5AXaAO0Ilg6ZAJwC8PNFgz+y3wCXADwVIX9YBaQHtgFPCemd11oNepZHui2j880MnM7GKC5JW7gFOBpkANoE24fxfwUgljjwQ+BMYBgwkqZ2QCjYAewIPAJ2bWOYk4eoZz3QQcSfDcGhEk9LxgZjeXMv5MYCVwD3Ay0Di8j5YE1SJmmdnzZpZdWiwlmAnkhe2Ey36YWVNgULj7pruvKuM1RaTybHP3gsLCwoyCggK9wxMRSVFBQUFaYWFhhrsXAFvLY079y1hERERERERERESqmshyH2+6+1ewb/mDt8LjCZf9MLM0YDbFf9G/guCF+WlAN2AIcD/frbTQBRgYtX9HeCx6+3vMte4G7iZIAPk3cBVwCnACQeLH24ABo83shsS3XaW9H9W+1sz6lnUiM7uUoPJIHWA38BfgTKAr0Av4GUEyRWGcsS2BhQSJK9uBPxEkVXQF+gAPALuAdsBcM2uSIJSWwNPhdW4FehIsbfJLYEvY5wEzO6aE++gPPAs0AFYBtwCnh7GcTXF1lbMIkndS5u7bwxgBflRKkshwgp9DKK5sISLVy/uFhYXbAc/NzW1Y2cGIiFQ34b87Pfx36ful9U9GRuldyiwr0qh79NHUbNq0Ai8lIiIiIoeKE+rWrewQRERERCQJLTIzo3ezSuqXKjPrAhwX7k6OOT2ZICniODPr4u4flzDNDUD/sP00MMLd82P6zAkrS7SIHHD3T8xsR1Sfb9z9kwSxngjcHu7e6+6/jemy2MymE7xMvwS4z8wmufsWqhl3/9LMnidIRqkFzDOz94AXgXeAd9w9p7R5zKwV8Ei4uwHoF+c7fhP4m5m1iTPFY0BzYA1wuruvjDm/wMyeAt4gqHZxGyVXIekIrAZ6uPs3UccXmdmicI4M4Brgxpj7qEOwpEY68DJwnrvviuryPvC8mb0Rxny+mfVz93klxJLIROCisD2SIHEjnkgFizyCyhYiUv38CxhWWFi4JScnp1lhYWF6/fr1t2ZlZeWbaRUQEZF43J28vLyaW7durZ+bm9u4sLBwM0HC7L/KY35zL5elQ+IZibJgRUREREREREREDgeXErxcPmBm9kfgV0A+0CI6+cDMGgDrgJrAn9z9O8sxhNUpvgJaA98AP3D3HbH9Ely/HcFSFACXu/v4BH2fAn4CLAZO9BJ+2RoT99XuPi7ZeOLENMHdR8XpswpoC6x293Zxzo+nuPJH+7IsBxFWe5hLUH0jns8JkguedPclJczxAEE1CAiSEJ5J4fqdgUgSzTnu/myCvn8Afg1sBJpFPxszWwD0Dnd/7O7PlTDH2wTLeLzv7l1jzv2MoLLGbqCtu29IEMs7BJUvprj7JQlvMv74dIKf6VYEP9NHuHtRTJ9OwLJwd7q7j0BEqqXFixePAYZkZGQ0ycjIaAykpaWlFZlZkZlV2Es9EZHqyN3N3dOKiorSgKKCgoJNBQUFG4Hnu3XrNqY8rlGRFSpEREREREREREREkha+OI78Jf6c2EoO7r7FzF4AzgMuMrNb3D12WYgfESRTADyeSjJFirFmEiw1AfBUSckUsC/ujwkSEU4BUkqoqCrcfaOZnQpcCfwPcGxMl47h9jMzmwxc5+47Y/qcFX5+SbAsSyrOCT93AXNK6fsGQUJFE6A9EFvJAoJlPRLNs5ggoeL7CWJ5PVEyRVQs3QmefcrcvdDMphDcT2uCpU1iK12MjGrrDx1Fqre7gK8LCgquKygo2JSWlpaVlpZWC0ir7MBERKqooqKiot1FRUV5gBNUQ/tneU1ekQkV/9nX+uptKNxTgZcSERERERERkcPdK5fcVtkhiBxWajZtSq9n9hUX+E+ivikYALQM27HLfRB1/Lyw3xnASzHnj49qv1FOccVzNFA7bD8QVl5IRovSu1Rd7r4X+AfwDzM7AugJdCVIGDgZiKwFcwnQyswGRJJewiSUzuH5NxMloZQgUhmjNlBa+fvok82In1CxIrbSQ4zc8DPeuoSRWAam8BfjB/LsJxAkVECQPLEvocKCL+LicHc9QZUQEammunXr5sC4xYsXvwScUlRUdEpRUVEboE4lhyYiUlXtBL4G3gbe7tat25rynLwiEyry9rUK90BB7BKFIiIiIiIiIiLlZ/e6dZUdgsjhLK/0Lkm5NPxMVDlgTni+Qdg/NqGiSVT723KKK55mZRxXu/Qu1YO7fwVMDTfMrBFwM3ALwV9S9wVGUJwc04jiRIeyPJvo7zw9hXG1Sji+q5RxkWSL/f4qPEwMaZDC9SPK/OzdfamZvU+QMPQTM7ve3SPxnwa0C9tT41RtEZFqKHwhuAaYUdmxiIgczrTkh4iIiIiIiIiIiFQ6M6tH8TIKDSi9AgHAuWZW1923l3C+Iteaj36h/2vgxSTHxS6Bcchw91zgtrBiwq3h4aHErzZSlmcT+c5XuHvHMowvL9HPfgZwz0G67kSChIps4FzCRBa03IeIiIhIhVFChYiIiIiIiIiIiFQFw4CsFMfUBi4Anow6tjGq3QpYfoBxlWRTVDvT3T+poOtUR49TnFDRIep4LkHVhzSCZ5OqyHd+hJnVdPdKKYvs7rvNbBfBz1+Dg/jspwIPEvxefyQw1cxqEiStAHzs7h8cpFhEREREDgtKqBAREREREREREZGqILLcx7fAL5Po/3vgiHBcdELFkqh2L+C1FONItnLCUmAPUAMYADyQ4nUOZWuj2pFlM3D3vWb2CXAscJqZmbunUqnifeBMoCbwNzP7Gljm7tPLI+gUvQ/0AHqYWe2o5TcqjLtvMLMXgSFAfzNrQbDcR/2wi6pTiIiIiJSztNK7iIiIiIiIiIiIiFQcM2sP9Ax3Z7n79NI2YGbYv7eZHRE13YcEa84DXGVm2SmGszuqXbOkTuEL9Hnh7ulm1j3F61QrlsT6K1FOiGp/GXPuufCzPcVLvCRrdlT7FOBOYLKZnZLiPOXh2fCzDvDTg3jdSNJEOjCC4uU+CoEpBzEOERERkcOCEipERERERERERESkso0EIi/sn0pyTKSfUfxSGXcvIlgWAaANMNHMasSbwMzSzCx26YlNBJUnAI4sJYb7KK5oMd3MSuxvZulmdpGZtSllzqpqsJnNMLPjE3Uys0bA2KhDs2O6/BXYGbYfNbPOCeba77ty90XAy+Hu0cB7BIkFk8ysTpzxncxsVKJ4D8A/KF5e5h4zG5yos5n1MLNe5XDdZ4HNYfs6YFDYftXdvy2H+UVEREQkihIqREREREREREREpLJFEiI2AG9GDppZTzPzqC36hfQ7wNcx4yP+BrwSts8DPjazG8OX2seb2WAzuwtYBlwTPdDdC4BF4e4VZjbCzH5oZh3CrVFU34XA3eFue+ADM/uzmZ0ZXudkMxtuZg8DXxFUEGiQ8rcTJIZE9CylT0kJG9HjypLUkQYMBZaY2VIze8PMPjWzzWa218y2mdlGYB0QSbp4H5gQPYm7rwP+J9xtBrxrZg+b2SAz+1H4zK8zsxeA1+PEcTnBsjAQVMLYRpD4MiX8zvub2c1mtgD4jGB5jHLn7tsIKkQUEFQyeT5MOLnQzE4It7PNbIyZfQi8RbDUSVLM7JSon/t936G75wMzwt2OQGbYnhg11sxsdTg2NzqhyMxWhcdXlfHWRURERA4rGZUdgIiIiIiIiIiIiBy+zKwH0CHcfTqsMBFxaUz3S4E3ANzdzexfwM+BTmZ2kru/E54rMrNzCV7mX0Dw4vnPScbTDugR7jYGpsZ0uQsYE9lx9zFmtgX4HZAN3Bhu8exh/yVFqpPNBJUl6hBUh4hVN86xVWGCyn7cfZKZpQGPAFkEz/DnccavjjN2bbjEx0zgRKBeeOoc4i8hsi3OsXLh7q+a2UCCRJkWBAknQxMMSToWd3/bzFYARwHnm9n17h6p7DERuDaq+3bgmaj9XkBkGZz/c/c9iIiIiEiZqEKFiIiIiIiIiIiIVKbopIlZkYaZ1aT45fSO8HOomWXF6x8zD+6+y92HAn2BScCXQB7By+dlwL+AiyheHiSe94G1wN5EN+DufyaoknAP8B+CpSAKCBIQPg/jvA5o7e5fJJqrqgqrcVxL8RInRQT3t5fgXrcC/wUWE9wzFC+dEm++CQTf2X3hmC1h/68IqjncDvQpYexq4CSC6iPTgW+iTm8E/g38CegNXJnSjabI3ecT3MfPgBcJqmdEEmfWECxRcjvwA3efWNI8JZgUfmYD50Zd89/Aiqh+T7n7rqj96IotqV5TRERERKKYu5feq2zaEPwHI3z5OhTkV9R1RERERERERER4btD/lN5JRMpNrRYt6L9wYWT3exQvv1EuzGwY8H/h7pXAE2F7hLtPL89rxVy3HUHyBcDl7j6+oq6VrJiYJrj7qDh9VgFtgdXu3i7O+fHAZeFue3dflWIM6QS/721JkJTS090/StD/h0AXd59RUh9JzMzaEjx3A15y90FJjKlFsOxKfWCFu3eMOb+KBD8nIiIiIrI/VagQERERERERERGRqijy8v9Td/8n8Gm4H7sMiBwc3QmSKQAeTZRMAeDunymZ4sCElTjeCHfPMLOWifqHfkyQTAHFFS5EREREpIyUUCEiIiIiIiIiIiJVipk1AwaEu5PDzynh5wAza57CXD3MbJyZLTezbWa2w8yWmdkzZnapmdWL6usUV4IAeNLMPGYbU8J1OpnZWDNbamZbzSzPzFaa2ZNm1jXpm6+62ka1y2XZEjNramajzWyhmW0ws3wzWxPujzazTgnGZpjZlWb2gpmtNbM9ZrbJzN4ys5vNrE6CsQvCZ7kg3G9tZg+Z2Rfhc9tkZi+Z2eAk76Ohmd1hZm+b2cbwPtaa2WwzOz/lL2Z/kSU70oERSfSPLPfhKKFCRERE5IApoUJERERERERERESqmouBDIKXwpFEiinhfnp4PiEzyzKzqcBbBEuGdATqAnWATsA5wATglwcarJn9FvgEuAE4GqgH1ALaA6OA98zsrgO9TiXbE9X+4YFOZmYXEySv3AWcCjQFahAsJX1qePylEsYeCXwIjAMGE1TOyAQaAT2AB4FPzKxzEnH0DOe6CTiS4Lk1IkjoecHMbi5l/JnASuAe4GSgcXgfLQmqRcwys+fNLLu0WEowE8gL2yMTdTSzpkBkWZA3U13WRURERES+SwkVIiIiIiIiIiIiUtVElvt4092/gn3LH7wVHk+47IeZpQGzKf6L/hUEL8xPA7oBQ4D7+W6lhS7AwKj9O8Jj0dvfY651N3A3QQLIv4GrgFOAEwgSP94GDBhtZjckvu0q7f2o9rVm1resE5nZpQSVR+oAu4G/AGcCXYFewM8IkikK44xtCSwkSFzZDvyJIKmiK9AHeADYBbQD5ppZkwShtASeDq9zK9CTYGmTXwJbwj4PmNkxJdxHf+BZoAGwCrgFOD2M5WyKq6ucRZC8kzJ33x7GCPCjUpJEhhP8HEJxZQsREREROQAZpXcps6x9rRrZkF6jAi8lIiIiIiIiIoe7+l26VHYIIoeVGk2bRu9mldQvVWbWBTgu3J0cc3oyQVLEcWbWxd0/LmGaG4D+YftpYIS758f0mRNWlmgROeDun5jZjqg+37j7JwliPRG4Pdy9191/G9NlsZlNJ3iZfglwn5lNcvctVDPu/qWZPU+QjFILmGdm7wEvAu8A77h7TmnzmFkr4JFwdwPQL853/CbwNzNrE2eKx4DmwBrgdHdfGXN+gZk9BbxBUO3iNkquQtIRWA30cPdvoo4vMrNF4RwZwDXAjTH3UYdgSY104GXgPHffFdXlfeB5M3sjjPl8M+vn7vNKiCWRicBFYXskQeJGPJEKFnkElS1ERERE5ABVZELFyftarbtV4GVERERERERERKDXM89Udggih7OT+f/s3XnYXVWVoPF3JYRAGIwISIBCKCzSZYEog4oBBAUURUELVMBEKAe0FOlWLG0HRNHGbiceLacKFDNNI6igiFpYpYADMqmASkVlkkGESAGGJBBW/7H39Ts53Hu/eSLv73nuc/c+Z59z1r3napXfWVmrVIEYC53qFCt4/EPh84DPArPruse1Y6jVKd5dp3cAi7okUwCQmY8Bd44i1vdQqgBfAxzX6xq1MsUhlJYjB1NaVUxHRwKXUKpvUN87YyLiPynJBadm5rU9znE0MKeOj+qXsJKZv2/Oa3WGA+r07V2SKTrHXRsRX6D8DhZGxLsyM3vF00qm6Jzjioi4kvLb3qPLcUdSEjuWAwtbyRTN8yyOiDdSKl8cCYwkoeJSyu90c+DwiPif9bf7FxExH9i1Ti/MzAdGcB1JkiS12PJDkiRJkiRJ0pQQETMZ+Jf4F7crOdT5t+r0sLq+7VnAFnW8ODMf6rJmLGKdRWk1AXB+nwf2nbg71TR2G494JkJm3gs8H3gr8IsuS7ajtOu4JiLOrFUc2l5W32+mtGUZjgPr+zLg4kHWXlbfNwa26bHm/kHOc019/+s+sfwgM+8ZYiwjuveZuQo4u063oLQ2aVvYGNvuQ5IkaYyMZ4WKn3QG3//ZHax45HHt7qQp4cUb3zzZIUiSJElj7t9e977JDmFaOPKTn5zsECRp2pq39tpctfNfKtP+pN/aYdgPmFfH7XYfNLa/sq7bB/hOa/+zG+PLGD/PYKDSwokRceIQj9ts8CVTV2Y+AnwJ+FJEbAXsDuxEqcDwPGBWXfo6YPOI2K8mBHSSULav+y/vl4TSQ6caxhxgRUT0W9vcuSnQrZrFknalh5al9X2DPrG8OCKG+jlGc+9PZ6DyykIalS6ifBGH1+kfKFVCJEmSNAbGM6Hi4c5gxSOrWL7ShApNUY92rfgoSZIkTWvL7757skOYFu5Y4f8ekKQx8vDgS4ZkUX3vVzng4rp/bl3fTqjYuDG+a4zi6mbTER43Z/Al00Nm3gacU19ExEaUNiydVigvBA5lIDlmIwYSHUZyb5rfebfqJL2s02N71zYdDZ1ki9UqPdfEkLnDuH7HiO99Zt4YEddREob+PiL+sdFmZA9g6zo+p5PAIkmSpNEbz4QKSZIkSZIkSRqSiNiQgTYKcxm8AgHAQRGxQWY+2GP/cCsgDEfzgf67gW8P8bg/j0MsU0JmLgXeVysmvLduPoTu1UZGcm863/mSzNxuBMePlea9Pw84YYKuewYloWJ94CBqIgu2+5AkSRo3JlRIkiRJkiRJmgpeDaw7zGPmAAcDpza23dsYbw7cNMq4ermvMZ6VmTeM03Wmo8UMJFQ8vbF9KaXqwwzKvRmuzne+VUTMzsxJKTWVmcsjYhnl9zd3Au/9OcAnKH/XXwicExGzKUkrANdn5s8mKBZJkqQ1wozBl0iSJEmSJEnSuOu0+7iL0iZisNdtreM6rm2M9xxBHEOtnHAjsLKO9xvBdZ7I7myMO20zyMxHgE7ywR4xhBIkLdfV99nA3iMPb0x0YlkQERPSxiUz72GgEsq+EbEZ8ArgSXWb1SkkSZLGmAkVkiRJkiRJkiZVRGwD7F6nF2TmuYO9gK/U9S+IiK0ap/s5cHsdvzEi1h9mOMsb49m9FmXmMuB7dbpXRDxnmNeZVoaZ/LBLY3xza9836vs2DLR4GaoLG+N/GkFCxli6qL6vB7xtAq/bSZqYSUks6rT7WAWcPYFxSJIkrRFMqJAkSZIkSZI02RYCnYfj5w/xmM66YOChMpn5GKUtAsCWwBkRsXa3E0TEjIhot564j4HKE9sOEsPHGKhocW5E9FwfETMj4rCI2HKQc05V+0fEeRHx7H6LImIj4LONTRe2lvwz8Oc6/nJEbN/nXKt9V5l5FfDdOt0b+D/9kioiYn5EHNEv3lH4EgPtZU6IiP37LY6IBRExkoopbRcBf6rjtwAvqeNLM/OuMTi/JEmSGtaa7AAkSZIkSZIkrfE6CRH3AJcP8Zgrgd9TkiYWUpIbOj4PvBzYF3glcH1EfAG4GlgGbAY8j/Iv/M8Bju8cmJmPRsRVwALgHyLiOuBnwCN1ydLMXFrX/jAiPgJ8iFJx4WcRcQrlof9dlAoXWwO7AQcDmwM71LinmxnAIcAhEfFz4GLgKsrnXAlsSqky8uY6BrgGOL15ksy8OyLeSqm0sCnw04hYDFwC3A2sD2xPaWUxn8cntRxJuY/zgGOBvSPiZEplkuXAxsCOwAGUli9fBU4biy+g9TkeiIhDa9yzgW9GxAXABcBv67J5wM6U3+AzgaOBy0Z53RURcR5wFLBdY5ftPiRJksaBCRWSJEmSJEmSJk1ELACeXqdfqxUmBpWZGRFfBd4BzI+I52bmlXXfYxFxEOVh/sGUB88nDSOsEymtKZ5CSbho+jCrJ2AcHxH3Ax+nJAMcU1/drGT1liLTyZ8olSXWoyQs7DjI+n8DDs3MR9s7MvPMiJgBfBFYl3IP39HlHLd2OfbOiNiN0vJlV0rCws594nhgkDhHLDMvjYgXU1ptbEZNOJmAWM6gJFR0PAh8fYzOLUmSpAYTKiRJkiRJkiRNpkWN8QXDPPYCBh7EL6JUrQAgM5dRqinsTalqsDvlofejwB3ALyltQy5qnzQzL46IF1ESI3YFNgFm9QoiM0+KiK9QHnLvS0kQmQusqNe6npJgcEFm3tvrPFNZrcaxCbAPsBclieFvKEknMynJArdQqlacm5nfH+R8p0fEd4G3UdpWbAvMoVSpuI1S+eH/9jj21oh4LnAg8BrgucBTKffofmAJ8GPKvR1qxZMRycx/r61ejqRUxdiR8p08BvwR+BXwA8q9v2mMrvmjiFhC+f4Bzq+/d0mSJI2xyMzBV43MlsDtAN+56jaWr1w1XteRRuXATZdMdgiSJEnSmPvGS9462SFMC6845ZTJDkGSpq0tZs/m97vt1pn+FdOzjYUkSZIk9TRjsgOQJEmSJEmSJEmSJEmaakyokCRJkiRJkiRJkiRJajGhQpIkSZIkSZIkSZIkqcWECkmSJEmSJEmSJEmSpJa1xvHc63YGG86ZxexZM8fxUtIozN5gsiOQJEmSxtyTdthhskOYFnbZwP89IEkjtdmsWc3pur3WSZIkSdJ0FZk5XudeCJwxXieXJEmSJEmSNGUsAs6c7CAkSZIkaSzZ8kOSJEmSJEmSJEmSJKllPFt+/KQzOPrkK1j60IrVdp697uvH8dKSJEnSGmC/syc7AmmN8m+ve99khzBmjvzkJyc7BElPAPPWXpurdt65M/1Jv7WSJEmSNB2NZ0LFw53B0odWcO+Dy1ffu+qOcby0JEmStAZ4dMXgaySNmeV33z3ZIYyZO1b43x+SxtzDgy+RJEmSpOnFlh+SJEmSJEmSJEmSJEktJlRIkiRJkiRJkiRJkiS1mFAhSZIkSZIkSZIkSZLUYkKFJEmSJEmSJEmSJElSiwkVkiRJkiRJkiRJkiRJLSZUSJIkSZIkSZIkSZIktZhQIUmSJEmSJEmSJEmS1GJChSRJkiRJkiRJkiRJUosJFZIkSZIkSZIkSZIkSS0mVEiSJEmSJEmSJLFkEhkAACAASURBVEmSJLWYUCFJkiRJkiRJkiRJktRiQoUkSZIkSZIkSZIkSVKLCRWSJEmSJEmSJEmSJEktJlRIkiRJkiRJkiRJkiS1mFAhSZIkSZIkSZIkSZLUYkKFJEmSJEmSJEmSJElSiwkVkiRJkiRJkiRJkiRJLSZUSJIkSZIkSZIkSZIktZhQIUmSJEmSJEmSJEmS1GJChSRJkiRJkiRJkiRJUosJFZIkSZIkSZIkSZIkSS0mVEiSJEmSJEmSJEmSJLWYUCFJkiRJkiRJkiRJktRiQoUkSZIkSZIkSZIkSVKLCRWSJEmSJEmSJEmSJEktJlRIkiRJkiRJkiRJkiS1mFAhSZIkSZIkSZIkSZLUYkKFJEmSJEmSJEmSJElSiwkVkiRJkiRJkiRJkiRJLSZUSJIkSZIkSZIkSZIktZhQIUmSJEmSJEmSJEmS1GJChSRJkiRJkiRJkiRJUosJFZIkSZIkSZIkSZIkSS0mVEiSJEmSJEmSJEmSJLWYUCFJkiRJkiRJkiRJktRiQoUkSZIkSZIkSZIkSVKLCRWSJEmSJEmSJEmSJEktJlRIkiRJkiRJkiRJkiS1mFAhSZIkSZIkSZIkSZLUYkKFJEmSJEmSJEmSJElSiwkVkiRJkiRJkiRJkiRJLSZUSJIkSZIkSZIkSZIktZhQIUmSJEmSJEmSJEmS1GJChSRJkiRJkiRJkiRJUosJFZIkSZIkSZIkSZIkSS0mVEiSJEmSJEmSJEmSJLWYUCFJkiRJkiRJkiRJktRiQoUkSZIkSZIkSZIkSVKLCRWSJEmSJEmSJEmSJEktJlRIkiRJkiRJkiRJkiS1mFAhSZIkSZIkSZIkSZLUYkKFJEmSJEmSJEmSJElSiwkVkiRJkiRJkiRJkiRJLSZUSJIkSZIkSZIkSZIktZhQIUmSJEmSJEmSJEmS1GJChSRJkiRJkiRJkiRJUosJFZIkSZIkSZIkSZIkSS0mVEiSJEmSJEmSJEmSJLWYUCFJkiRJkiRJkiRJktRiQoUkSZIkSZIkSZIkSVKLCRWSJEmSJEmSJEmSJEktJlRIkiRJkiRJkiRJkiS1mFAhSZIkSZIkSZIkSZLUYkKFJEmSJEmSJEmSJElSy1qTHYAkSZIkSZIkSUMVETOBdwFzgF9n5rmTHJIkSZKeoEyokCRJkiRJkiRNG5m5KiLuAM4CVkXErZn548mOS5IkSU88tvyQJEmSJEmSJE0rmXk28GlgJnBmRKw3ySFJkiTpCciECkmSJEmSJElTUkTsHhHZeO052TFNhojYuvEdnNZjzS11/y099p/WOMfWo4xni4j4UERcHhF/jIiVEbE0In4dEf8RER+PiJdExAajuc4Q/BNwKbAt8JlxvtaEiojdGvfr9GEeGxFxaz12aUSs3dg3Yb8TSZKkJwITKiRJkiRJkiRNVYsGmY+5VvLCEeN9vekmIo4EbgKOB3YHNgZmAU8G5gN7Ae8BLgEWj2csmbkKeA1wM/CmiDhgPK83kWoLkyV1+qphVuDYE9iqjv9fZq4c0+AkSZLWICZUSJIkSZIkSZpyImI2cEidPlTfD4mIdScppDVeRLwaOAVYD1gOfBE4CNgF2BU4EDgBuHaiYsrMpTWGPwMnR8QmE3XtCXBmfV+f8hmHamFjfMbYhSNJkrTmMaFCkiRJkiRJ0lR0IDC3jo+p7xvW7ZpgETETOAkI4EHguZn5j5l5YWZek5lXZ+ZFmXlcZu4MPAP46kTElpm/yMz1M3OzzPzjRFxzgpwBZB0v7LewIyLWAQ6u0yW10oUkSZJGyIQKSZIkSZIkSVPR6+v7LzPzX4Ff1vm4t/1QV88B5tXxlzPzF/0WZ+avMvO88Q/riSszbwUuq9N9ImJev/XVK4An1fGZ/RZKkiRpcCZUSJIkSZIkSZpSImJTYL86Pau+n13f94uIpw7jXAsi4uSIuCkiHoiIhyLi1xHx9YhYFBEbNtYmcHPj8FMjIluv43tcZ35EfDYiboyI/4qIhyPidxFxakTsNOQPP3U9rTH+zVicMCI2iYjjIuKHEXFPRKyIiNvr/LiImN/n2LUi4g0R8a2IuDMiVkbEfRFxRUQcGxHr9Tn2+/Vefr/Ot4iIT0fEb+p9uy8ivhMR+w/xczw5Ij4QET+OiHvr57gzIi6MiFcN+4tZXadlx0zg0CGs71SySEyokCRJGjUTKiRJkiRJkiRNNYcDa1EeCncSKc6u85l1f18RsW5EnANcAbwB2A7YAFgPmE9pHXI68M7RBhsRHwRuAI6mtLrYEFgH2AY4Arg6Ij482utMspWN8d+O9mQRcTgleeXDwPOBTYC1gS3r/MPAd3ocuy3wc+BkYH9K5YxZwEbAAuATwA0Rsf0Q4ti9nut/ANtS7ttGlISeb0XEsYMc/1Lgd8AJwPOAp9TPMY9SLeKCiPhmRKw/WCw9fAV4uI77tv2IiE2Al9Tp5Zl5ywivKUmSpMqECkmSJEmSJElTTafdx+WZeRv8pf3BFXV737YfETEDuJCBf9G/hPLAfA9gZ+AA4H/x+EoLOwAvbsw/ULc1X19oXesjwEcoCSA/At4I7AbsQkn8+DEQwHERcXT/jz2lXdcYHxURLxzpiSJiEaXyyHrAcuBzwEuBnYA9gbdTkilWdTl2HvBDSuLKg8CnKEkVOwF7AycCy4CtgUsiYuM+ocwDvlav815gd0prk3cC99c1J0bE3/X4HPsCFwFzgVuA9wB71VhezkB1lZdRkneGLTMfrDECPGuQJJHXUn6HMFDZQpIkSaOw1uBLJEmSJEmSJGliRMQOwI51elZr91mUpIgdI2KHzLy+x2mOBvat468Bh2bmitaai2tlic06GzLzhoh4qLHmjsy8oU+suwLvr9OPZuYHW0uuiYhzKQ/TXwd8LCLOzMz7mWYy8+aI+CYlGWUd4HsRcTXwbeBK4MrM/ONg54mIzYEv1uk9wIu6fMeXA5+PiC27nOJfgKcCtwN7ZebvWvu/HxHnA5dRql28j95VSLYDbgUWZOYdje1XRcRV9RxrAW8Gjml9jvUoLTVmAt8FXpmZyxpLrgO+GRGX1ZhfFREvyszv9YilnzOAw+p4ISVxo5tOBYuHKZUtJEmSNEpWqJAkSZIkSZI0lXSqU6zg8Q+Fz6vbm+tWU6tTvLtO7wAWdUmmACAzH8vMO0cR63sof2O9Bjiu1zUoCR4rKC1HDh7F9SbbkcDVjfkulCoe3wDuiYibIuJzEbFTn3McDcyp46P6Jaxk5u+b81qd4YA6fXuXZIrOcdcyUElkYUREv3hayRSdc1xBSRSBksTTdiQlsWM5sLCVTNE8z2Lgp41jRuJSoPM7Pbz+xlcTEfOBXev0wsx8YITXkiRJUoMJFZIkSZIkSZKmhIiYycC/xL+4Xcmhzr9Vp4fV9W3PArao48WZ+VCXNWMR6yxKqwmA8zMze62tcXeqaew2HvFMhMy8F3g+8FbgF12WbEdp13FNRJxZqzi0vay+30xpyzIcB9b3ZcDFg6y9rL5vDGzTY839g5znmvr+131i+UFm3jPEWEZ07zNzFXB2nW5BaW3StrAxtt2HJEnSGDGhQpIkSZIkSdJUsR8wr47b7T5obZ8H7NNl/7Mb48u67B8rz2Cg0sKJEZH9XpRqDtBoMTIdZeYjmfmlzNwReBpwOPApSpuORxpLXwdc1Ex6qUko29fp5f2SUHrofIdzgBUR8WivF6sna2za43xLagWRXpbW9w36xPLiIdz7Y+va0dz70xvjZvIEtQLH4XX6B0oLEkmSJI0BEyokSZIkSZIkTRWL6nu/ygEX1/3N9U0bN8Z3jVFc3fR6SD+YOYMvmR4y87bMPCczj83MPSkJAycCnSSFFwKHNg7ZCOi03xjJvWl+5zMHeTX/9r1Oj/N1bdPR0Pkcq/0dvSaGzB1ayKsZ8b3PzBuB6+r07yOiea49gK3r+Jxa0UKSJEljYK3JDkCSJEmSJEmSImJDBtoozKVUIBjssIMiYoPMfLDH/uFWQBiOZruRdwPfHuJxfx6HWKaEzFwKvK9WTHhv3XwI3auNjOTedL7zJZm53QiOHyvNe38ecMIEXfcMSgWW9YGDgHPqdtt9SJIkjRMTKiRJkiRJkiRNBa8G1h3mMXOAg4FTG9vubYw3B24aZVy93NcYz8rMG8bpOtPRYgYSKp7e2L6UUvVhBuXeDFfnO98qImZn5oqRhzhymbk8IpZRfn9zJ/DenwN8gvJ3/YXAORExm5K0AnB9Zv5sgmKRJElaI9jyQ5IkSZIkSdJU0GnfcRelTcRgr9tax3Vc2xjvOYI4hlo54UZgZR3vN4LrPJHd2Rh32maQmY8AneSDPWIIJUhaOi0vZgN7jzy8MdGJZUGr/ca4ycx7GKiEsm9EbAa8AnhS3WZ1CkmSpDFmQoUkSZIkSZKkSRUR2wC71+kFmXnuYC/gK3X9CyJiq8bpfg7cXsdvjIj1hxnO8sZ4dq9FmbkM+F6d7hURzxnmdaaVYSY/7NIY39za9436vg0DLV6G6sLG+J9GkJAxli6q7+sBb5vA63aSJmZSEos67T5WAWdPYBySJElrBBMqJEmSJEmSJE22hUDn4fj5Qzymsy4YeKhMZj5GaYsAsCVwRkSs3e0EETEjItqtJ+5joPLEtoPE8DEGKlqcGxE910fEzIg4LCK2HOScU9X+EXFeRDy736KI2Aj4bGPTha0l/wz8uY6/HBHb9znXat9VZl4FfLdO9wb+T7+kioiYHxFH9It3FL7EQHuZEyJi/36LI2JBRIykYkrbRcCf6vgtwEvq+NLMvGsMzi9JkqSGtSY7AEmSJEmSJElrvE5CxD3A5UM85krg95SkiYWU5IaOzwMvB/YFXglcHxFfAK4GlgGbAc+j/Av/c4DjOwdm5qMRcRWwAPiHiLgO+BnwSF2yNDOX1rU/jIiPAB+iVFz4WUScQnnofxelwsXWwG7AwcDmwA417ulmBnAIcEhE/By4GLiK8jlXAptSqoy8uY4BrgFOb54kM++OiLdSKi1sCvw0IhYDlwB3A+sD21NaWczn8UktR1Lu4zzgWGDviDiZUplkObAxsCNwAKXly1eB08biC2h9jgci4tAa92zgmxFxAXAB8Nu6bB6wM+U3+EzgaOCyUV53RUScBxwFbNfYZbsPSZKkcWBChSRJkiRJkqRJExELgKfX6ddqhYlBZWZGxFeBdwDzI+K5mXll3fdYRBxEeZh/MOXB80nDCOtESmuKp1ASLpo+zOoJGMdHxP3AxynJAMfUVzcrWb2lyHTyJ0plifUoCQs7DrL+34BDM/PR9o7MPDMiZgBfBNal3MN3dDnHrV2OvTMidqO0fNmVkrCwc584HhgkzhHLzEsj4sWUVhubURNOJiCWMygJFR0PAl8fo3NLkiSpwYQKSZIkSZIkSZNpUWN8wTCPvYCBB/GLKFUrAMjMZZRqCntTqhrsTnno/ShwB/BLStuQi9onzcyLI+JFlMSIXYFNgFm9gsjMkyLiK5SH3PtSEkTmAivqta6nJBhckJn39jrPVFarcWwC7APsRUli+BtK0slMSrLALZSqFedm5vcHOd/pEfFd4G2UthXbAnMoVSpuo1R++L89jr01Ip4LHAi8Bngu8FTKPbofWAL8mHJvh1rxZEQy899rq5cjKVUxdqR8J48BfwR+BfyAcu9vGqNr/igillC+f4Dz6+9dkiRJYywyc/BVI7MlcDvA4Sd9j3sfXD3x+jtzDhiv60qSJElrhld8Z7IjkNYo33jJWyc7hDHzilNOmewQJD0BbDF7Nr/fbbfO9K+Ynm0sJEmSJKmnGZMdgCRJkiRJkiRJkiRJ0lRjQoUkSZIkSZIkSZIkSVKLCRWSJEmSJEmSJEmSJEktJlRIkiRJkiRJkiRJkiS1mFAhSZIkSZIkSZIkSZLUYkKFJEmSJEmSJEmSJElSiwkVkiRJkiRJkiRJkiRJLSZUSJIkSZIkSZIkSZIktZhQIUmSJEmSJEmSJEmS1GJChSRJkiRJkiRJkiRJUosJFZIkSZIkSZIkSZIkSS0mVEiSJEmSJEmSJEmSJLWYUCFJkiRJkiRJkiRJktRiQoUkSZIkSZIkSZIkSVKLCRWSJEmSJEmSJEmSJEktJlRIkiRJkiRJkiRJkiS1mFAhSZIkSZIkSZIkSZLUYkKFJEmSJEmSJEmSJElSiwkVkiRJkiRJkiRJkiRJLSZUSJIkSZIkSZIkSZIktZhQIUmSJEmSJEmSJEmS1GJChSRJkiRJkiRJkiRJUosJFZIkSZIkSZIkSZIkSS0mVEiSJEmSJEmSJEmSJLWYUCFJkiRJkiRJkiRJktRiQoUkSZIkSZIkSZIkSVKLCRWSJEmSJEmSJEmSJEktJlRIkiRJkiRJkiRJkiS1mFAhSZIkSZIkSZIkSZLUYkKFJEmSJEmSJEmSJElSiwkVkiRJkiRJkiRJkiRJLSZUSJIkSZIkSZIkSZIktZhQIUmSJEmSJEmSJEmS1GJChSRJkiRJkiRJkiRJUosJFZIkSZIkSZIkSZIkSS0mVEiSJEmSJEmSJEmSJLWYUCFJkiRJkiRJkiRJktRiQoUkSZIkSZIkSZIkSVKLCRWSJEmSJEmSJEmSJEkta012AJIkSZIkSZIkDVVEzATeBcwBfp2Z505ySJIkSXqCMqFCkiRJkiRJkjRtZOaqiLgDOAtYFRG3ZuaPJzsuSZIkPfHY8kOSJEmSJEmSNK1k5tnAp4GZwJkRsd4khyRJkqQnIBMqJEmSJEmSJE1JEbF7RGTjtedkxzQZImLrxndwWo81t9T9t/TYf1rjHFuPMp4tIuJDEXF5RPwxIlZGxNKI+HVE/EdEfDwiXhIRG4zmOkPwT8ClwLbAZ8b5WhMqInZr3K/Th3lsRMSt9dilEbF2Y9+oficRcURj/xHD+1SSJEnTjwkVkiRJkiRJkqaqRYPMx1wreeGI8b7edBMRRwI3AccDuwMbA7OAJwPzgb2A9wCXAIvHM5bMXAW8BrgZeFNEHDCe15tItYXJkjp91TArcOwJbFXH/y8zV45pcJIkSWsQEyokSZIkSZIkTTkRMRs4pE4fqu+HRMS6kxTSGi8iXg2cAqwHLAe+CBwE7ALsChwInABcO1ExZebSGsOfgZMjYpOJuvYEOLO+r0/5jEO1sDE+Y+zCkSRJWvOYUCFJkiRJkiRpKjoQmFvHx9T3Det2TbCImAmcBATwIPDczPzHzLwwM6/JzKsz86LMPC4zdwaeAXx1ImLLzF9k5vqZuVlm/nEirjlBzgCyjhf2W9gREesAB9fpklrpQpIkSSNkQoUkSZIkSZKkqej19f2XmfmvwC/rfNzbfqir5wDz6vjLmfmLfosz81eZed74h/XElZm3ApfV6T4RMa/f+uoVwJPq+Mx+CyVJkjQ4EyokSZIkSZIkTSkRsSmwX52eVd/Pru/7RcRTh3GuBRFxckTcFBEPRMRDEfHriPh6RCyKiA0baxO4uXH4qRGRrdfxPa4zPyI+GxE3RsR/RcTDEfG7iDg1InYa8oefup7WGP9mLE4YEZtExHER8cOIuCciVkTE7XV+XETM73PsWhHxhoj4VkTcGRErI+K+iLgiIo6NiPX6HPv9ei+/X+dbRMSnI+I39b7dFxHfiYj9h/g5nhwRH4iIH0fEvfVz3BkRF0bEq4b9xayu07JjJnDoENZ3KlkkJlRIkiSNmgkVkiRJkiRJkqaaw4G1KA+FO4kUZ9f5zLq/r4hYNyLOAa4A3gBsB2wArAfMp7QOOR1452iDjYgPAjcAR1NaXWwIrANsAxwBXB0RHx7tdSbZysb4b0d7sog4nJK88mHg+cAmwNrAlnX+YeA7PY7dFvg5cDKwP6VyxixgI2AB8AnghojYfghx7F7P9T+AbSn3bSNKQs+3IuLYQY5/KfA74ATgecBT6ueYR6kWcUFEfDMi1h8slh6+Ajxcx33bfkTEJsBL6vTyzLxlhNeUJElSZUKFJEmSJEmSpKmm0+7j8sy8Df7S/uCKur1v24+ImAFcyMC/6F9CeWC+B7AzcADwv3h8pYUdgBc35h+o25qvL7Su9RHgI5QEkB8BbwR2A3ahJH78GAjguIg4uv/HntKua4yPiogXjvREEbGIUnlkPWA58DngpcBOwJ7A2ynJFKu6HDsP+CElceVB4FOUpIqdgL2BE4FlwNbAJRGxcZ9Q5gFfq9d5L7A7pbXJO4H765oTI+LvenyOfYGLgLnALcB7gL1qLC9noLrKyyjJO8OWmQ/WGAGeNUiSyGspv0MYqGwhSZKkUVhr8CWSJEmSJEmSNDEiYgdgxzo9q7X7LEpSxI4RsUNmXt/jNEcD+9bx14BDM3NFa83FtbLEZp0NmXlDRDzUWHNHZt7QJ9ZdgffX6Ucz84OtJddExLmUh+mvAz4WEWdm5v1MM5l5c0R8k5KMsg7wvYi4Gvg2cCVwZWb+cbDzRMTmwBfr9B7gRV2+48uBz0fEll1O8S/AU4Hbgb0y83et/d+PiPOByyjVLt5H7yok2wG3Agsy847G9qsi4qp6jrWANwPHtD7HepSWGjOB7wKvzMxljSXXAd+MiMtqzK+KiBdl5vd6xNLPGcBhdbyQkrjRTaeCxcOUyhaSJEkaJStUSJIkSZIkSZpKOtUpVvD4h8Ln1e3Ndaup1SneXad3AIu6JFMAkJmPZeado4j1PZS/sV4DHNfrGpQEjxWUliMHj+J6k+1I4OrGfBdKFY9vAPdExE0R8bmI2KnPOY4G5tTxUf0SVjLz9815rc5wQJ2+vUsyRee4axmoJLIwIqJfPK1kis45rqAkikBJ4mk7kpLYsRxY2EqmaJ5nMfDTxjEjcSnQ+Z0eXn/jq4mI+cCudXphZj4wwmtJkiSpwYQKSZIkSZIkSVNCRMxk4F/iX9yu5FDn36rTw+r6tmcBW9Tx4sx8qMuasYh1FqXVBMD5mZm91ta4O9U0dhuPeCZCZt4LPB94K/CLLku2o7TruCYizqxVHNpeVt9vprRlGY4D6/sy4OJB1l5W3zcGtumx5v5BznNNff/rPrH8IDPvGWIsI7r3mbkKOLtOt6C0Nmlb2Bjb7kOSJGmMmFAhSZIkSZIkaarYD5hXx+12H7S2zwP26bL/2Y3xZV32j5VnMFBp4cSIyH4vSjUHaLQYmY4y85HM/FJm7gg8DTgc+BSlTccjjaWvAy5qJr3UJJTt6/TyfkkoPXS+wznAioh4tNeL1ZM1Nu1xviW1gkgvS+v7Bn1iefEQ7v2xde1o7v3pjXEzeYJagePwOv0DpQWJJEmSxoAJFZIkSZIkSZKmikX1vV/lgIvr/ub6po0b47vGKK5uej2kH8ycwZdMD5l5W2aek5nHZuaelISBE4FOksILgUMbh2wEdNpvjOTeNL/zmYO8mn/7XqfH+bq26WjofI7V/o5eE0PmDi3k1Yz43mfmjcB1dfr3EdE81x7A1nV8Tq1oIUmSpDGw1mQHIEmSJEmSJEkRsSEDbRTmUioQDHbYQRGxQWY+2GP/cCsgDEez3ci7gW8P8bg/j0MsU0JmLgXeVysmvLduPoTu1UZGcm863/kS4GRKgsKvM/PcEZxrNJr3/jzghAm67hmUCizrAwcB59TttvuQJEkaJyZUSJIkSZIkSZoKXg2sO8xj5gAHA6c2tt3bGG8O3DTKuHq5rzGelZk3jNN1pqPFDCRUPL2xfSml6sMMyr0Zrs53vhWltcVpwKqIuDUzfzyyUIcvM5dHxDLK72/uBN77c4BPUP6uvxA4JyJmU5JWAK7PzJ9NUCySJElrhPFMqPjL//jZ9qkbsNH6s1ffu84u7fWSJEmShmN2t1bOksbLk3bYYbJDGDO7bOB/f0gavc1mzWpOh5sI0U2nfcddwDuHsP5/Ux6sL2L1hIprG+M9gf8YZhxDrZxwI7ASWBvYj9LqQsWdjXGnbQaZ+UhE3AA8E9gjIiIzh1Op4jrgpcBsSkLFpym/lTMjYsfMnMjqH9cBC4AFETEnMwdrHzJqmXlPRHwbOADYNyI2o7T7eFJdYnUKSZKkMTaeCRXP6ww+cuhzuuy+ahwvLUmSJEnS2Nrz61+f7BDGjP+LXNI4eB6lDcOIRMQ2wO51ekGnhUNE7A5c3lj6gsy8rO7bBXgX8IKI2Cozb6trfg7cDvwV8MaI+FRmPjSMcJY3xrN7LcrMZRHxPWB/YK+IeE5m/nQY1xmOLRvj3QdZs2WP/c3jtgRuGU4AzeSHiNgCeCOwD/DfKA/0HwLuoSTE3NE49ObWqb5BSajYhtLiZTj/B/ZC4P11/E/AvvVc+wCfAd48jHON1kWUhIr1gLdRKkeMi4i4BXgacCulvcwBlLYjhwKvbSzt9of4x52uvj8tIv4EPCMz7xq7aCVJkp5YZkx2AJIkSZIkSZLWeAsZeNB7fmP7ota65ryzLurxAGTmYww83N4SOCMi1u520YiYERHt1hPrN8YHDhL3xxioaHFuRGzba2FEzIyIwyKiV8LDVLd/RJwXER+itFE5npKksTEwC3gyMB/YCzi8cdyFrfP8M9CpJPHliNi+1wXb31VmXgV8t073Bj4OvIaStPGmiDigdfz8iDhiaB9v2L7EQHuZEyJi/36LI2JBROw5Bte9CPhTHb8FeHZj3yER8eJBjn9yY3ysyRSSJEn9jWeFip/8ZXTbj2HVynG8lCRJkjTgt3dP179RS5IkTR8z157J1jtv3Zn+pM/SoegkRNxDrUgREbOBQ+r2hyiJDodExNGZ+TBwJfB7StLEQkpyQ8fngZdTKhi8Erg+Ir4AXA0sAzajVNU4FDiHkhzQsaox3iMiDgV+BjxSty3NzKUAmfnDiPgI8CFKxYWfRcQplIf+d1EqXGwN7AYcDGwO7FDjnm5mUO5H5548ClwK/DulIsVGlPYTL6NUbYDy4P/05kky8+6IeCulPcWmwE8jYjFwCXA35T5vD7yCkqDRTlI5knIf5wHHUhIrzqZUKzktIt5C+c4PoLR8+Spw2ig/++Nk5gP1t3EJlTlsJwAAIABJREFU5T5/MyIuAC4AfluXzQN2pvwGnwkcDVw2yuuuiIjzgKOA7Rq7Ov8Z+XJE/F239icRsRvQ6fu1PDNPGU0skiRJa4LxTKh4+C+jVSvh0RXjeClJkiRpwKMrHp3sECRJktY0Dw++pLuIWAA8vU6/VitMQKkOMbeOjwFOATas28/NzIyIrwLvAOZHxHMz80ooVSoi4iDKw/yDKQ+eTxpBeOtTEi6aPkwjASMzj4+I+ynVEtavsR7T43wrWb2lyHTyX5RqHJ1KImsBL6mvbn4EnJKZj/t/zjPzzIiYAXwRWJdyD9/R5Ry3djn2zpoY8BVgV0rCws5197p1e9MDfT7TqGTmpbUixNmUJJ1mwkk3YxXLGZSEio4HKQkl/0JpDfIx4L83D6hVWk5ubLpvjGKRJEl6QrPlhyRJkiRJkqTJ1GzjcUFj/Pr6/svM/Ffgl4OsX609SGYuy8xDgBcCZ1LaQjxMefj8a0rlgsMYaA/SzXXAnQxUp+gqM0+iVFI4gVKt415KBYc/A/9Z43wLsEVm/qbfuaawRxlIprga+AHlu1lR9y0FrgW+DOydmQvqfesqM0+nfGcfA64B7qcknNwGXAG8n1J9otuxtwLPpVR+OJdyb5dR7tMfKckcnwJeALxhpB94KDLz3+vneDvwbUplkk7izO2UaiXvB/5bZp4xRtf8EbCksen8zFzMQDuUoyPiea3DPgg8ozE3C12SJGkIxrNCxbp/Ga29Pszs2qZQkiRJGnOzN5g92SFIkiQ94c2cNbM5XbfXusFk5lGs/q/tiYhNgf3q9Kz6fjbl4ft+EfHUzPxDZl7GwEP+XlbW1yOUh8gz6jEzgVn1vXPdbB377GF8lPUpFTU2BNau17qH8nD/c5l57TDO1dZsEXJFnzVPo3c7kSsYaJ8xkpYjT2uMT87ML4/gHG2PUu7NCgaSVmbU11qU77GXmcBTgCcB61Du5YOUBJavA1/s1vaim4jYglLh4RXAFpTkjKuBkzJzsN8XlJYfT6bc/07Mf6Ik5JyemV8dShzDkZnbddl8FHADpeXKyRGxU2aujIhnAu+pa64CdsvMVV2OJzOPAI7oc93TGIcWKpIkSVPVeCZUDGTAbrFzn2WSJEnS2Np6q8mOQJIkaY3zPFb/F/OjdTjlb5dJSaSgvn+U8iD9cODT/U4QEetS2oQc2mX3/Po6kFYLj5GIiA8Cx/H4v7duU1+vj4gTMvNDo7nOJFvZGP/taE8WEYdTqlms19q1ZX09H/gHYOsux24LXMTqFRcANgIW1NfbIuLlmXnDIHHsTknAeEpj8zqUhJ79IuLdmfnJPse/lPLbnNvaNY+SoPGKiLgYeG1mPtQvltHKzFsi4gPAZ4C/A/5nRHyU8p+DWZSklTf0SqaQJEnS441nQoUkSZIkSZIkjUSn3cflmXkblDYPEXEFsAelvUfPhIqImAFcCOxbNy0BvkCpOrCM8rD7+cCrW4fuAGwOfKfOP1DP03RP61ofobRTgFKN4l+BGykPr+dTWkHsBhwXEfdm5uf6ffAp7LrG+KiIuKi2uxi2iFgEnF6ny4HFwCXA3ZRKH88EXg78TZdj5wE/BJ5KqUjxL8ClwB8o1Sr2A46hJGJcEhHPzsx7e4QyD/gasAp4L6WKx0pgd0qCzFzgxIi4JDNv7BLLvpTEjpnALcAXgSuBByiVLl4DvA54Wf28fz/4tzNqnwVeS2mJ8j7K73mXuu/jmXn9BMQgSZL0hBGZ7Sp2Y+ZvKOXVOPrkK1j60Irxus6EOnvd1w++SJLWdPudPfgaSZIkrdHe/+mNJjsESaO04dy1eM8JfylUsB1jVKEiInYAflGnb87MxY19b6ZUNQB4Zq+HwxFxDHBSnX4NODQzH/cHypp4sVlm3tnYtjVwc50eWVsc9Ip1V+AnlBYVH83MD3ZZM4PyMP11lASArTLz/l7n7HGdZkyn17YM7TW3UNpy3JqZW3fZfxoDiSrbZOYtw4mhnuMbwAGNTVcD36YkEVyZmX8cwjk2p/xW5lCSU17Uq4pERGyZmb9vbevEcDuwV2b+rstxOwGXUapffCYz39na/33gBXV6K7AgM+9ordm9niOAz2bmMa396wG/pSR2fBd4ZWYu6xLLmyhJHwD7ZOb3un3Wfga7t13Wbw9cS6lK0fEr4FmZubL7UZIkSepmPCtUPNwZLH1oBfc+uHwcLzWBVt0x+BpJWtM9+sRIopMkSdL4uX/pI5MdgqSx9fDgS4as89B/BfCV1r7zKP8Cf3Zdd2z74JrA8O46vQNY1C2ZAiAzHwPu7LZviN5DSaa4hlLRoOs1IuJo4BBgA+Bg4ORRXHMyHUmpJNGpeLBLY0xE/CclueDUzLy2xzmOpiRTABzVryVHl2SK7RlI6Hh7t2SKety1EfEFyu9gYUS8K3v/y8Kj28kU9RxXRMSVlHY2e3Q57khKMsVyYGG3ZIp6nsUR8UbgOfWYYSdUDFdm3hARn6b8PgEeo7T6MJlCkiRpmGZMdgCSJEmSJEmSBBARM4HD6vTidiWHOv9WnR5W17c9i9JuAWBxZj40TrHOAvav0/P7PLDvxN2pprHbeMQzEWrrjOcDb2WgikjTdpQWJ9dExJm1ikPby+r7zTy+ncpgDqzvy4CLB1l7WX3fGNimx5r7BznPNfX9r/vE8oPMvKfL/m6xTMi9j4ig3KeOR4BBq4dIkiTp8UyokCRJkiRJkjRV7AfMq+OzeqzpbJ8H7NNl/7Mb48u67B8rz2Cg0sKJEZH9XgxUcthsHGMad5n5SGZ+KTN3pLShOBz4FHA55cF9x+uAi5pJLzUJZfs6vbxfEkoPne9wDrAiIh7t9WL1ZI1Ne5xvSa1S0svS+r5Bn1hePIR736mkMlH3/q2sXlVjNgOtciRJkjQMJlRIkiRJkiRJmioW1fd+lQMurvu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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "previous=1\n", "fig=plt.figure()\n", "plt.rc('axes',edgecolor='w')\n", "plt.rcParams['figure.figsize'] = [8, 15]\n", "plt.rcParams['figure.dpi'] = 200\n", "for scene in NW.index:\n", " h=Height[scene]/NWtot\n", " acte=scene.split('_')[0]\n", " sc=scene.split('_')[1]\n", " ax = fig.add_axes([0.05, previous-h, .8, h], xticks=[],yticks=[]) # je fais un subplot / scène et j'enlève les ticks\n", " fig.text(0.86, previous-h*0.6, 'Acte '+acte+' Scène '+sc,fontsize=10) # je mets le nom de la scène à droite\n", " start=0\n", " i=0\n", " for perso in NW.columns: # j'empile des barplots pour chaque personnage en utilisant 'left='\n", " width = NW_percent[perso][scene] # la longueur de la barre est la portion de la scène où le personnage parle \n", " ax.barh([acte],[width] , left=[start], height=1, color=[colors[i]], label=perso) \n", " start+=width\n", " i+=1\n", " plt.ylim(-.5,.5)\n", " plt.xlim(0,1)\n", " previous-=h\n", "plt.legend(loc='upper center', bbox_to_anchor=(1.5, 30.0)) # je mets une légende\n", "fig.text(0.3, 1.02, 'L\\'Avare de Molière',fontsize=20) # j'ajoute un titre\n" ] }, { "cell_type": "markdown", "metadata": { "hideCode": false, "hidePrompt": false }, "source": [ "Et voilà, c'est pas hyper joli, mais ça répond à la question! " ] } ], "metadata": { "celltoolbar": "Hide code", "hide_code_all_hidden": true, "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 }