{"cells":[{"metadata":{},"cell_type":"markdown","source":"# Épreuve Pratique NSI 2025 — Tous les sujets"},{"metadata":{},"cell_type":"markdown","source":"!!! info Indication\nExécutez la cellule suivante pour afficher deux boutons qui permet de :\n* revenir à la liste des exercices\n* choisir aléatoirement un exercice\n!!!"},{"metadata":{"trusted":false,"scrolled":true},"cell_type":"code","source":"from initialiser import *","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"top\"></a>\n## Liste des exercices\n\n|   Exercice    | Titre                                                 |   Exercice    | Titre                                                        |   Exercice    | Titre                                                 |   Exercice    | Titre                                                        |\n| :-----------: | :---------------------------------------------------- | :-----------: | :----------------------------------------------------------------- | :-----------: | :---------------------------------------------------- | :-----------: | :----------------------------------------------------------------- |\n|  [1.1](#1.1)  | Liste des voisins entrants d’un sommet                |  [1.2](#1.2)  | Suite de Conway                                                    |  [2.1](#2.1)  | Maximum et son indice d'une liste                     |  [2.2](#2.2)  | Points de rupture                                                  |\n|  [3.1](#3.1)  | Suite de Fibonacci                                    |  [3.2](#3.2)  | Élèves ayant la note maximale                                      |  [4.1](#4.1)  | Conversion base 10 vers base 2                        |  [4.2](#4.2)  | Tri à bulles                                                       |\n|  [5.1](#5.1)  | Renverser une chaîne                                  |  [5.2](#5.2)  | Crible d'Ératosthène                                               |  [6.1](#6.1)  | Lister les puissances d'un nombre                     |  [6.2](#6.2)  | Mots parfaits                                                      |\n|  [7.1](#7.1)  | Compter les caractères d'une chaîne                   |  [7.2](#7.2)  | Fusion de deux listes croissantes                                  |  [8.1](#8.1)  | Maximum d'une liste                                   |  [8.2](#8.2)  | Vérification de la validité d’un parenthésage                      |\n|  [9.1](#9.1)  | Multiplication de relatifs sans ×                     |  [9.2](#9.2)  | Recherche dichotomique itérative                                   | [10.1](#10.1) | Recherche dichotomique itérative                      | [10.2](#10.2) | Chiffrement par décalage (code de César)                           |\n| [11.1](#11.1) | Parcours en largeur d'un arbre binaire                | [11.2](#11.2) | Sous-tableau de somme maximale                                     | [12.1](#12.1) | Fusion de deux listes croissantes                     | [12.2](#12.2) | Représentation d'un nombre en chiffres romains                     |\n| [13.1](#13.1) | Indice de la première occurence d'un élément          | [13.2](#13.2) | Insertion d'une valeur dans une liste triée par échanges adjacents | [14.1](#14.1) | Lancer de dès et détection d'une paire de 6           | [14.2](#14.2) | Négatif et binarisation d'une image                                |\n| [15.1](#15.1) | Multiplication de relatifs sans ×                     | [15.2](#15.2) | Recherche dichotomique récursive                                   | [16.1](#16.1) | Moyenne pondérée                                      | [16.2](#16.2) | Triangle de Pascal                                                 |\n| [17.1](#17.1) | Hauteur et taille d'un arbre binaire                  | [17.2](#17.2) | Insertion d'un élément à un indice donné d'une liste               | [18.1](#18.1) | Moyenne d'une liste                                   | [18.2](#18.2) | Recherche dichotomique itérative                                   |\n| [19.1](#19.1) | Indice du minimum d'une liste                         | [19.2](#19.2) | Séparation de deux valeurs par échanges                            | [20.1](#20.1) | Minimum et maximum d'une liste                        | [20.2](#20.2) | Paquet de cartes                                                   |\n| [21.1](#21.1) | Maximum et son indice d'une liste                     | [21.2](#21.2) | Filtrage des positifs d'une pile                                   | [22.1](#22.1) | Indice de la dernière occurence d'un élément          | [22.2](#22.2) | Adresses IP                                                        |\n| [23.1](#23.1) | Tri compteur                                          | [23.2](#23.2) | Conversion entre base 2 et base 10                                 | [24.1](#24.1) | Énumération des indices de chaque élément d'une liste | [24.2](#24.2) | Insertion dans un arbre binaire                                    |\n| [25.1](#25.1) | Minimum d'une liste                                   | [25.2](#25.2) | Détecter un palindrôme                                             | [26.1](#26.1) | Fusion de deux dictionnaires                          | [26.2](#26.2) | Simulation d'un jeu de plateau                                     |\n| [27.1](#27.1) | Vérification du tri d'une liste                       | [27.2](#27.2) | Dépouille d'une urne                                               | [28.1](#28.1) | Détection de doublons dans une liste triée            | [28.2](#28.2) | Calcul d'une matrice de voisinage au démineur                      |\n| [29.1](#29.1) | Sélection dans une table (liste de dictionnaires)     | [29.2](#29.2) | Détection d'intrus dans une liste                                  | [30.1](#30.1) | Codage par différence                                 | [30.2](#30.2) | Expressions sous forme d'arbres binaires                           |\n| [31.1](#31.1) | Recherche d'un motif dans un texte                    | [31.2](#31.2) | Parcours en profondeur d'un graphe                                 | [32.1](#32.1) | Nombre d'occurrences d'un caractère dans une chaîne   | [32.2](#32.2) | Algorithme glouton pour le problème du rendu de monnaie            |\n| [33.1](#33.1) | Insertion dans un arbre binaire                       | [33.2](#33.2) | Algorithme glouton pour le problème du bin packing                 | [34.1](#34.1) | Algorithme du tri par sélection                       | [34.2](#34.2) | Jeu du plus ou moins                                               |\n| [35.1](#35.1) | Clé de la valeur maximale d'un dictionnaire           | [35.2](#35.2) | Notation polonaise                                                 | [36.1](#36.1) | Nombre de mots d'une chaîne                           | [36.2](#36.2) | Insertion dans un arbre binaire                                    |\n| [37.1](#37.1) | Notation Big Endian d'un nombre binaire               | [37.2](#37.2) | Algorithme du tri par insertion                                    | [38.1](#38.1) | Moyenne d'une liste                                   | [38.2](#38.2) | Conversion base 10 vers base 2                                     |\n| [39.1](#39.1) | Moyenne d'une liste                                   | [39.2](#39.2) | Tri d'une liste de 0 et de 1                                       | [40.1](#40.1) | Partition d'une liste autour d'une valeur             | [40.2](#40.2) | Moyenne des notes d'un élève                                       |\n| [41.1](#41.1) | Ou Exclusif entre deux listes                         | [41.2](#41.2) | Carrés semimagiques                                                | [42.1](#42.1) | Nombre d'occurrences d'un élément d'une liste         | [42.2](#42.2) | Conversion base 10 vers base 2                                     |\n| [43.1](#43.1) | Couple d'entiers consécutifs successifs d'une liste   | [43.2](#43.2) | Coloration récursive d'une image                                   | [44.1](#44.1) | Moyenne pondérée                                      | [44.2](#44.2) | Zoom d'une image                                                   |\n| [45.1](#45.1) | Mots à trous                                          | [45.2](#45.2) | Détection d'un cycle                                               | [46.1](#46.1) | Nombre d'occurrences d'un élément d'une liste         | [46.2](#46.2) | Algorithme glouton pour le problème du rendu de monnaie            |\n| [47.1](#47.1) | Taille récursive d'un arbre binaire                   | [47.2](#47.2) | Algorithme du tri par sélection                                    | [48.1](#48.1) | Indice de la dernière occurence d'une liste           | [48.2](#48.2) | Le plus proche point                                               |"},{"metadata":{},"cell_type":"markdown","source":"## Exercices"},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"1.1\"></a>\n\n!!! question Sujet 1 — Exercice 1\nOn considère dans cet exercice un graphe orienté représenté sous forme de listes d'adjacence. On suppose que les sommets sont numérotés de 0 à $n-1$. Par exemple, le graphe suivant :\n\n<img src=\"attachment:image_5cbceb69\" style=\"border-radius: 5px;\" />\n\n\nest représenté par la liste d'adjacence suivante :\n\n```python\nadj = [[1, 2], [2], [0], [0]]\n```\n\nÉcrire une fonction `voisins_entrants(adj, x)` qui prend en paramètre le graphe donné sous forme de liste d'adjacence et qui renvoie une liste contenant les voisins entrants du sommet `x`, c'est-à-dire les sommets `y` tels qu'il existe une arête de `y` vers `x`.\n!!!\n\n??? example Exemples\n```python\n>>> voisins_entrants([[1, 2], [2], [0], [0]], 0)\n[2, 3]\n>>> voisins_entrants([[1, 2], [2], [0], [0]], 1)\n[0]\n```\n???","attachments":{"image_5cbceb69":{"image/svg+xml":"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"}}},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"1.2\"></a>\n\n!!! question Sujet 1 — Exercice 2\nOn considère dans cet exercice la suite de nombre suivante : 1, 11, 21, 1211, 111221, etc. Cette suite est construite ainsi : pour passer d'une valeur à la suivante, on la lit et on l'écrit sous la forme d'un nombre. Ainsi, pour 1211 :\n\n- on lit : *un 1, un 2, deux 1*\n- on écrit donc en nombre : *1 1, 1 2, 2 1*\n- puis on concatène : *111221*\n\nCompléter la fonction `nombre_suivant` qui prend en entrée un nombre sous forme de chaine de caractère et qui renvoie le nombre suivant par ce procédé, encore sous forme de chaîne de caractère.\n!!!\n\n??? example Exemples\n```python\n>>> nombre_suivant('1211')\n'111221'\n>>> nombre_suivant('311')\n'1321'\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def nombre_suivant(s):\n    \"\"\" Renvoie le nombre suivant de celui representé par s\n    en appliquant le procédé de lecture. \"\"\"\n    resultat = ''\n    chiffre = s[0]\n    compte = 1\n    for i in range(...):\n        if s[i] == chiffre:\n            compte = ...\n        else:\n            resultat += ... + ...\n            chiffre = ...\n            ...\n    lecture_... = ... + ...\n    resultat += lecture_chiffre\n    return resultat","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"2.1\"></a>\n\n!!! question Sujet 2 — Exercice 1\nÉcrire une fonction `max_et_indice` qui prend en paramètre un tableau non vide `tab` (type Python `list`) de nombres entiers et qui renvoie la valeur du plus grand élément de ce tableau ainsi que l'indice de sa première apparition dans ce tableau.\n!!!\n!!! warning Règle à respecter\nL'utilisation de la fonction native `max` n'est pas autorisée.\n!!!\n\n??? example Exemples\n```python\n>>> max_et_indice([1, 5, 6, 9, 1, 2, 3, 7, 9, 8])\n(9, 3)\n>>> max_et_indice([-2])\n(-2, 0)\n>>> max_et_indice([-1, -1, 3, 3, 3])\n(3, 2)\n>>> max_et_indice([1, 1, 1, 1])\n(1, 0)\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"2.2\"></a>\n\n!!! question Sujet 2 — Exercice 2\nL'ordre des gènes sur un chromosome est représenté par un tableau ordre de $n$ cases d'entiers distincts deux à deux et compris entre 1 et $n$.\n\nPar exemple, `ordre = [5, 4, 3, 6, 7, 2, 1, 8, 9]` dans le cas $n = 9$.\n\nOn dit qu'il y a un point de rupture dans `ordre` dans chacune des situations suivantes :\n\n- la première valeur de `ordre` n'est pas 1\n- l'écart entre deux gènes consécutifs n'est pas égal à 1\n- la dernière valeur de `ordre` n'est pas $n$.\n\nPar exemple, si `ordre = [5, 4, 3, 6, 7, 2, 1, 8, 9]` avec $n = 9$, on a :\n\n- un point de rupture au début car 5 est différent de 1\n- un point de rupture entre 3 et 6 (l'écart est de 3)\n- un point de rupture entre 7 et 2 (l'écart est de 5)\n- un point de rupture entre 1 et 8 (l'écart est de 7)\n\nIl y a donc 4 points de rupture.\n\nCompléter les fonctions Python `est_un_ordre` et `nombre_points_rupture` proposées à la page suivante pour que :\n\n- la fonction `est_un_ordre` renvoie `True` si le tableau passé en paramètre représente bien un ordre de gènes de chromosome et `False` sinon\n- la fonction `nombre_points_rupture` renvoie le nombre de points de rupture d'un tableau passé en paramètre représentant l'ordre de gènes d'un chromosome.\n\n!!!\n\n\n??? example Exemples\n```python\n>>> est_un_ordre([1, 6, 2, 8, 3, 7])\nFalse\n>>> est_un_ordre([5, 4, 3, 6, 7, 2, 1, 8, 9])\nTrue\n>>> nombre_points_rupture([5, 4, 3, 6, 7, 2, 1, 8, 9])\n4\n>>> nombre_points_rupture([1, 2, 3, 4, 5])\n0\n>>> nombre_points_rupture([1, 6, 2, 8, 3, 7, 4, 5])\n7\n>>> nombre_points_rupture([2, 1, 3, 4])\n2\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def est_un_ordre(tab):\n    '''\n    Renvoie True si tab est de longueur n et contient tous les\n    entiers de 1 à n, False sinon\n    '''\n    n = len(tab)\n    # les entiers vus lors du parcours\n    vus = ...\n    for x in tab:\n        if x < ... or x >... or ...:\n            return False\n        ... .append(...)\n    return True","execution_count":null,"outputs":[]},{"metadata":{"trusted":false},"cell_type":"code","source":"def nombre_points_rupture(ordre):\n    '''\n    Renvoie le nombre de point de rupture de ordre qui représente\n    un ordre de gènes de chromosome\n    '''\n    # on vérifie que ordre est un ordre de gènes\n    assert ...\n    n = len(ordre)\n    nb = 0\n    if ordre[...] != 1: # le premier n'est pas 1\n        nb = nb + 1\n    i = 0\n    while i < ...:\n        if ... not in [-1, 1]: # l'écart n'est pas 1\n            nb = nb + 1\n        i = i + 1\n    if ordre[i] != ...: # le dernier n'est pas n\n        nb = nb + 1","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"3.1\"></a>\n\n!!! question Sujet 3 — Exercice 1\n\nOn s'intéresse à la suite d'entiers définie par :\n\n- les deux premières valeurs sont égales à 1\n- ensuite, chaque valeur est obtenue en faisant la somme des deux valeurs qui la précèdent.\n\nLa troisième valeur est donc $1+1 = 2$, la quatrième est $1+2 = 3$, la cinquième est $2+3 = 5$, la sixième est $3 + 5 = 8$, et ainsi de suite.\n\nCette suite d'entiers est connue sous le nom de suite de Fibonacci.\n\nÉcrire en Python une fonction `fibonacci` qui prend en paramètre un entier `n` supposé strictement positif et qui renvoie le terme d'indice `n` de cette suite.\n!!!\n\n??? example Exemples\n```python\n>>> fibonacci(1)\n1\n>>> fibonacci(2)\n1\n>>> fibonacci(25)\n75025\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"3.2\"></a>\n\n!!! question Sujet 3 — Exercice 2\nOn considère la fonction `eleves_du_mois` prenant en paramètres `eleves` et `notes` deux tableaux non vides de même longueur, le premier contenant le nom des élèves et le second, des entiers positifs désignant leur note à un contrôle de sorte que `eleves[i]` a obtenu la note `notes[i]`.\n\nCette fonction renvoie le couple constitué de la note maximale attribuée et des noms des élèves ayant obtenu cette note regroupés dans un tableau.\n\nAinsi, l'instruction `eleves_du_mois(['a', 'b', 'c', 'd'], [15, 18, 12, 18])` renvoie le couple `(18, ['b', 'd'])`.\n\nCompléter le code suivant.\n!!!\n\n??? example Exemples\n```python\n>>> eleves_nsi = ['a','b','c','d','e','f','g','h','i','j']\n>>> notes_nsi = [30, 40, 80, 60, 58, 80, 75, 80, 60, 24]\n>>> eleves_du_mois(eleves_nsi, notes_nsi)\n(80, ['c', 'f', 'h'])\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def eleves_du_mois(eleves, notes):\n    note_maxi = 0\n    meilleurs_eleves = ...\n    for i in range(...):\n        if notes[i] == ...:\n            meilleurs_eleves.append(...)\n        elif notes[i] > note_maxi:\n            note_maxi = ...\n            meilleurs_eleves = [...]\n    return (note_maxi, meilleurs_eleves)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"4.1\"></a>\n\n!!! question Sujet 4 — Exercice 1\nÉcrire une fonction `ecriture_binaire_entier_positif` qui prend en paramètre un entier positif `n` et renvoie une chaine de caractère correspondant à l'écriture binaire de `n`.\n\nOn rappelle que :\n\n- l'écriture binaire de 25 est 11001 car $25 = 1 × 2^4 + 1 × 2^3 + 0 × 2^2 + 0 × 2^1 + 1 × 2^0$\n- `n % 2` vaut 0 ou 1 selon que `n` est pair ou impair\n- `n // 2` donne le quotient de la division euclidienne de `n` par 2.\n!!!\n\n!!! warning Règle à respecter\nIl est interdit dans cet exercice d'utiliser la fonction `bin` de Python.\n!!!\n\n??? example Exemples\n```python\n>>> 5 % 2\n1\n>>> 5 // 2\n2\n>>> ecriture_binaire_entier_positif(0)\n'0'\n>>> ecriture_binaire_entier_positif(2)\n'10'\n>>> ecriture_binaire_entier_positif(105)\n'1101001'\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"4.2\"></a>\n\n!!! question Sujet 4 — Exercice 2\nLa fonction `tri_bulles` prend en paramètre un tableau `tab` d'entiers (type `list`) et le modifie pour le trier par ordre croissant.\n\nLe tri à bulles est un tri en place qui commence par placer le plus grand élément en dernière position en parcourant le tableau de gauche à droite et en échangeant au passage les éléments voisins mal ordonnés (si la valeur de l'élément d'indice `i` a une valeur strictement supérieure à celle de l'indice `i + 1`, ils sont échangés). Le tri place ensuite en avant-dernière position le plus grand élément du tableau privé de son dernier élément en procédant encore à des échanges d'éléments voisins. Ce principe est répété jusqu'à placer le minimum en première position.\n\nExemple : pour trier le tableau `[7, 9, 4, 3]` :\n\n- première étape : 7 et 9 ne sont pas échangés, puis 9 et 4 sont échangés, puis 9 et 3 sont échangés, le tableau est alors `[7, 4, 3, 9]`\n- deuxième étape : 7 et 4 sont échangés, puis 7 et 3 sont échangés, le tableau est alors `[4, 3, 7, 9]`\n- troisième étape : 4 et 3 sont échangés, le tableau est alors `[3, 4, 7, 9]`\n\nCompléter le code Python ci-dessous qui implémente la fonction `tri_bulles`.\n!!!\n\n??? example Exemples\n```python\n>>> tab = []\n>>> tri_bulles(tab)\n>>> tab\n[]\n>>> tab2 = [9, 3, 7, 2, 3, 1, 6]\n>>> tri_bulles(tab2)\n>>> tab2\n[1, 2, 3, 3, 6, 7, 9]\n>>> tab3 = [9, 7, 4, 3]\n>>> tri_bulles(tab3)\n>>> tab3\n[3, 4, 7, 9]\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def echange(tab, i, j):\n    '''Echange les éléments d'indice i et j dans le tableau tab.'''\n    temp = ...\n    tab[i] = ...\n    tab[j] = ...","execution_count":null,"outputs":[]},{"metadata":{"trusted":false},"cell_type":"code","source":"def tri_bulles(tab):\n    '''Trie le tableau tab dans l'ordre croissant\n    par la méthode du tri à bulles.'''\n    n = len(tab)\n    for i in range(...):\n        for j in range(...):\n            if ... > ...:\n                echange(tab, j, ...)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"5.1\"></a>\n\n!!! question Sujet 5 — Exercice 1\nProgrammer une fonction `renverse`, prenant en paramètre une chaîne de caractères non vide mot et renvoie cette chaîne de caractères en ordre inverse.\n!!!\n\n??? example Exemples\n```python\n>>> renverse(\"\")\n\"\"\n>>> renverse(\"abc\")\n\"cba\"\n>>> renverse(\"informatique\")\n\"euqitamrofni\"\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"5.2\"></a>\n!!! question Sujet 5 — Exercice 2\nUn nombre premier est un nombre entier naturel qui admet exactement deux diviseurs distincts entiers et positifs : 1 et lui-même.\n\nLe crible d'Ératosthène permet de déterminer les nombres premiers plus petit qu'un certain nombre `n` fixé strictement supérieur à 1.\n\nOn considère pour cela un tableau tab de `n` booléens (type `list`), initialement tous égaux à `True`, sauf `tab[0]` et `tab[1]` qui valent `False`, 0 et 1 n'étant pas des nombres premiers.\n\nOn parcourt alors ce tableau de gauche à droite et pour chaque indice `i` :\n\n- si `tab[i]` vaut `True` : le nombre `i` est premier et on donne la valeur `False` à toutes les cases du tableau dont l'indice est un multiple de `i`, à partir de `2*i` (c'est-à-dire `2*i`, `3*i`, …).\n- si `tab[i]`vaut `False` : le nombre `i` n'est pas premier et on n'effectue aucun changement sur le tableau.\n\nOn dispose de la fonction `crible`, donnée ci-dessous et à compléter, prenant en paramètre un entier `n` strictement supérieur à 1 et renvoyant un tableau contenant tous les nombres premiers plus petits que `n`.\n!!!\n\n??? example Exemples\n```python\n>>> crible(40)\n[2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37]\n>>> crible(5)\n[2, 3]\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def crible(n):\n    \"\"\"Renvoie un tableau contenant tous les nombres premiers\n    plus petits que n.\"\"\"\n    premiers = []\n    tab = [True] * n\n    tab[0], tab[1] = False, False\n    for i in range(n):\n        if tab[i]:\n            premiers....\n            multiple = ...\n            while multiple < n:\n                tab[multiple] = ...\n                multiple = ...\n    return premiers","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"6.1\"></a>\n!!! question Sujet 6 — Exercice 1\nOn rappelle que :\n\n- le nombre $a^n$ est le nombre $a \\times a \\times a \\times \\cdots \\times a$ , où le facteur $a$ apparaît $n$ fois,\n- en langage Python, l'instruction `t[-1]` permet d'accéder au dernier élément du tableau `t`.\n\nDans cet exercice, l'opérateur `**` et la fonction `pow` ne sont pas autorisés.\n\nProgrammer en langage Python une fonction `liste_puissances` qui prend en argument un nombre entier $a$ , un entier strictement positif $n$ et qui renvoie la liste de ses puissances :\n\n$$\\Big[ \\ a^1 ,\\ a^2 ,\\ \\ldots \\ ,\\ a^n \\ \\Big]$$\n\nProgrammer également une fonction `liste_puissances_borne` qui prend en argument un nombre entier $a$ supérieur ou égal à 2 et un entier `borne`, et qui renvoie la liste de ses puissances, à l'exclusion de $a^0$ , strictement inférieures à `borne`.\n!!!\n\n??? example Exemples\n```python\n>>> liste_puissances(3, 5)\n[3, 9, 27, 81, 243]\n>>> liste_puissances(-2, 4)\n[-2, 4, -8, 16]\n>>> liste_puissances_borne(2, 16)\n[2, 4, 8]\n>>> liste_puissances_borne(2, 17)\n[2, 4, 8, 16]\n>>> liste_puissances_borne(5, 5)\n[]\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"6.2\"></a>\n!!! question Sujet 6 — Exercice 2\nOn affecte à chaque lettre de l'alphabet un code selon le tableau ci-dessous :\n\n|  A  |  B  |  C  |  D  |  E  |  F  |  G  |  H  |  I  |  J  |  K  |  L  |  M  |\n| :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: |\n|  1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  | 10  | 11  | 12  | 13  |\n\n|  N  |  O  |  P  |  Q  |  R  |  S  |  T  |  U  |  V  |  W  |  X  |  Y  |  Z  |\n| :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: |\n| 14  | 15  | 16  | 17  | 18  | 19  | 20  | 21  | 22  | 23  | 24  | 25  | 26  |\n\nCette table de correspondance est stockée dans un dictionnaire `dico` où les clés sont les lettres de l'alphabet et les valeurs les codes correspondants.\n\n```python\ndico = {\"A\": 1, \"B\": 2, \"C\": 3, \"D\": 4, \"E\": 5, \"F\": 6, \"G\": 7, \"H\": 8, \"I\": 9, \"J\": 10, \"K\": 11, \"L\": 12, \"M\": 13, \"N\": 14, \"O\": 15, \"P\": 16, \"Q\": 17, \"R\": 18, \"S\": 19, \"T\": 20, \"U\": 21, \"V\": 22, \"W\": 23, \"X\": 24, \"Y\": 25, \"Z\": 26}\n```\n\nPour un mot donné, on détermine d'une part son code alphabétique concaténé, obtenu par la juxtaposition des codes de chacun de ses caractères, et d'autre part, son code additionné, qui est la somme des codes de chacun de ses caractères.\n\nPar ailleurs, on dit que ce mot est « parfait » si le code additionné divise le code concaténé.\n\nExemples :\n\n- Pour le mot `\"PAUL\"`, le code concaténé est la chaîne `'1612112'`, soit l'entier 1612112. Son code additionné est l'entier 50 car $16 + 1 + 21 + 12 = 50$. 50 ne divise pas l'entier 1612112. Ainsi, le mot `\"PAUL\"` n'est pas parfait.\n- Pour le mot `\"ALAIN\"`, le code concaténé est la chaîne `'1121914'`, soit l'entier 1121914. Le code additionné est l'entier 37 car $1 + 12 + 1 + 9 + 14 = 37$ . 37 divise l'entier 1121914. Ainsi, le mot `\"ALAIN\"` est parfait.\n\nCompléter la fonction `codes_parfait` située à la page suivante et qui prend en paramètre un `mot` en majuscule et renvoie un triplet constitué du code additionné, du code concaténé et d'un booléen indiquant si le mot est parfait ou non.\n\nOn rappelle que pour tester si un entier `b` divise un entier `a`, on utilise l'opérateur modulo `a % b` qui renvoie le reste de la division euclidienne de `a` par `b`. Si `a % b` vaut 0, alors `b` divise `a`.\n!!!\n\n??? example Exemples\n```python\n>>> codes_parfait(\"PAUL\")\n(50, 1612112, False)\n>>> codes_parfait(\"ALAIN\")\n(37, 1121914, True)\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"dico = {\"A\": 1, \"B\": 2, \"C\": 3, \"D\": 4, \"E\": 5, \"F\": 6, \"G\": 7, \"H\": 8, \"I\": 9, \"J\": 10, \"K\": 11, \"L\": 12, \"M\": 13, \"N\": 14, \"O\": 15, \"P\": 16, \"Q\": 17, \"R\": 18, \"S\": 19, \"T\": 20, \"U\": 21, \"V\": 22, \"W\": 23, \"X\": 24, \"Y\": 25, \"Z\": 26}\n\ndef codes_parfait(mot):\n    \"\"\"Renvoie un triplet\n    (code_additionne, code_concatene, mot_est_parfait) où :\n    - code_additionne est la somme des codes des lettres du mot\n    - code_concatene est le code des lettres du mot concaténées\n    - mot_est_parfait est un booléen indiquant si le mot est \n      parfait.\"\"\"\n    code_concatene = \"\"\n    code_additionne = ...\n    for c in mot:\n        code_concatene = code_concatene + ...\n        code_additionne = code_additionne + ...\n    code_concatene = int(code_concatene)\n    mot_est_parfait = ...\n    return code_additionne, code_concatene, mot_est_parfait","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"7.1\"></a>\n!!! question Sujet 7 — Exercice 1\nLe nombre d'occurrences d'un caractère dans une chaîne de caractère est le nombre d'apparitions de ce caractère dans la chaîne.\n\nExemples :\n\n- le nombre d'occurrences du caractère `'o'` dans '`bonjour'` est 2\n- le nombre d'occurrences du caractère `'b'` dans `'Bébé'` est 1\n- le nombre d'occurrences du caractère `'B'` dans `'Bébé'` est 1\n- le nombre d'occurrences du caractère `' '` dans `'Hello world !'` est 2.\n\nOn cherche les occurrences des caractères dans une phrase. On souhaite stocker ces occurrences dans un dictionnaire dont les clefs seraient les caractères de la phrase et les valeurs l'occurrence de ces caractères.\n\nPar exemple : avec la phrase `'Hello world !'` le dictionnaire est le suivant :\n\n```python\n{'H': 1,'e': 1,'l': 3,'o': 2,' ': 2,'w': 1,'r': 1,'d': 1,'!': 1}\n```\n\n**L'ordre des clefs n'a pas d'importance.**\n\nÉcrire une fonction `nbr_occurrences` prenant comme paramètre une chaîne de caractères `chaine` et renvoyant le dictionnaire des nombres d'occurrences des caractères de cette chaîne.\n!!!"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"7.2\"></a>\n!!! question Sujet 7 — Exercice 2\nLa fonction `fusion` prend deux tableaux `tab1`, `tab2` (type `list`) d'entiers triés par ordre croissant et les fusionne en un tableau trié `tab12` qu'elle renvoie.\n\nCompléter le code de la fonction `fusion` ci-dessous.\n!!!\n\n??? example Exemples\n```python\n>>> fusion([1,2,3],[])\n[1, 2, 3]\n>>> fusion([], [])\n[]\n>>> fusion([1, 6, 10],[0, 7, 8, 9])\n[0, 1, 6, 7, 8, 9, 10]\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def fusion(tab1,tab2):\n    '''Fusionne deux tableaux triés et renvoie\n    le nouveau tableau trié.'''\n    n1 = len(tab1)\n    n2 = len(tab2)\n    tab12 = [0] * (n1 + n2)\n    i1 = 0\n    i2 = 0\n    i = 0\n    while i1 < n1 and ...:\n        if tab1[i1] < tab2[i2]:\n            tab12[i] = ...\n            i1 = ...\n        else:\n            tab12[i] = tab2[i2]\n            i2 = ...\n        i += 1\n    while i1 < n1:\n        tab12[i] = ...\n        i1 = i1 + 1\n        i = ...\n    while i2 < n2:\n        tab12[i] = ...\n        i2 = i2 + 1\n        i = ...\n    return tab12","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"8.1\"></a>\n!!! question Sujet 8 — Exercice 1\nÉcrire la fonction `maximum_tableau`, prenant en paramètre un tableau non vide de nombres `tab` (de type `list`) et renvoyant le plus grand élément de ce tableau.\n!!!\n\n??? example Exemples\n```python\n>>> maximum_tableau([98, 12, 104, 23, 131, 9])\n131\n>>> maximum_tableau([-27, 24, -3, 15])\n24\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"8.2\"></a>\n!!! question Sujet 8 — Exercice 2\nOn dispose de chaînes de caractères contenant uniquement des parenthèses ouvrantes et fermantes.\n\nUn parenthésage est correct si :\n\n- le nombre de parenthèses ouvrantes de la chaîne est égal au nombre de parenthèses fermantes\n- en parcourant la chaîne de gauche à droite, le nombre de parenthèses déjà ouvertes doit être, à tout moment, supérieur ou égal au nombre de parenthèses déjà fermées.\n\nAinsi, `((()())(()))` est un parenthésage correct.\n\nLes parenthésages `())(()` et `(())(()` sont, eux, incorrects.\n\nOn dispose du code de la classe `Pile` donnée plus bas.\n\nOn souhaite programmer une fonction `bon_parenthesage` qui prend en paramètre une chaîne de caractères `ch` formée de parenthèses et renvoie `True` si la chaîne est bien parenthésée et `False` sinon.\n\nCette fonction utilise une pile et suit le principe suivant : en parcourant la chaîne de gauche à droite, si on trouve une parenthèse ouvrante, on l'empile au sommet de la pile et si on trouve une parenthèse fermante, on dépile (si possible) la parenthèse ouvrante stockée au sommet de la pile.\n\nLa chaîne est alors bien parenthésée si, à la fin du parcours, la pile est vide.\n\nElle est, par contre, mal parenthésée :\n\n- si dans le parcours, on trouve une parenthèse fermante, alors que la pile est vide\n- ou si, à la fin du parcours, la pile n'est pas vide.\n\nCompléter le code de la fonction `bon_parenthesage` ci-dessous.\n!!!\n\n??? example Exemples\n```python\n>>> bon_parenthesage(\"((()())(()))\")\nTrue\n>>> bon_parenthesage(\"())(()\")\nFalse\n>>> bon_parenthesage(\"(())(()\")\nFalse\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"class Pile:\n    \"\"\"Classe définissant une structure de pile.\"\"\"\n    def __init__(self):\n        self.contenu = []\n        \n    def est_vide(self):\n        \"\"\"Renvoie un booléen indiquant si la pile est vide.\"\"\"\n        return self.contenu == []\n        \n    def empiler(self, v):\n        \"\"\"Place l'élément v au sommet de la pile\"\"\"\n        self.contenu.append(v)\n        \n    def depiler(self):\n        \"\"\"\n        Retire et renvoie l'élément placé au sommet de la pile,\n        si la pile n'est pas vide. Produit une erreur sinon.\n        \"\"\"\n        assert not self.est_vide()\n        return self.contenu.pop()","execution_count":null,"outputs":[]},{"metadata":{"trusted":false},"cell_type":"code","source":"def bon_parenthesage(ch):\n    \"\"\"Renvoie un booléen indiquant si la chaîne ch\n    est bien parenthésée\"\"\"\n    p = Pile()\n    for c in ch:\n        if c == ...:\n            p.empiler(c)\n        elif c == ...:\n            if p.est_vide():\n                 ...\n            else:\n                 ...\n    return ...","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"9.1\"></a>\n!!! question Sujet 9 — Exercice 1\nProgrammer la fonction multiplication, prenant en paramètres deux nombres entiers relatifs `n1` et `n2`, et qui renvoie le produit de ces deux nombres.\n\nLes seules opérations autorisées sont l'addition et la soustraction.\n!!!\n\n??? example Exemples\n```python\n>>> multiplication(3, 5)\n15\n>>> multiplication(-4, -8)\n32\n>>> multiplication(-2, 6)\n-12\n>>> multiplication(-2, 0)\n0\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"9.2\"></a>\n!!! question Sujet 9 — Exercice 2\nOn s'intéresse dans cet exercice à la recherche dichotomique dans un tableau trié d'entiers. Compléter la fonction suivante en respectant la spécification.\n!!!\n\n??? example Exemples\n```python\n>>> dichotomie([15, 16, 18, 19, 23, 24, 28, 29, 31, 33],28)\nTrue\n>>> dichotomie([15, 16, 18, 19, 23, 24, 28, 29, 31, 33],27)\nFalse\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def dichotomie(tab, x):\n    \"\"\"\n    tab : tableau d'entiers trié dans l'ordre croissant\n    x : nombre entier\n    La fonction renvoie True si tab contient x et False sinon\n    \"\"\"\n    debut = 0\n    fin = len(tab) - 1\n    while debut <= fin:\n        m = ...\n        if x == tab[m]:\n            return ...\n        if x > tab[m]:\n            debut = m + 1\n        else:\n            fin = ...\n    return ...","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"10.1\"></a>\n!!! question Sujet 10 — Exercice 1\nÉcrire une fonction `recherche` qui prend en paramètres un tableau `tab` de nombres entiers triés par ordre croissant et un nombre entier `n`, et qui effectue une recherche dichotomique du nombre entier `n` dans le tableau non vide `tab`.\n\nCette fonction doit renvoyer un indice correspondant au nombre cherché s'il est dans le tableau, `None` sinon.\n!!!\n\n??? example Exemples\n```python\n>>> recherche([2, 3, 4, 5, 6], 5)\n3\n>>> recherche([2, 3, 4, 6, 7], 5) # renvoie None\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"10.2\"></a>\n!!! question Sujet 10 — Exercice 2\nLe codage de César transforme un message en changeant chaque lettre en la décalant dans l'alphabet. Par exemple, avec un décalage de 3, le A se transforme en D, le B en E, …, le X en A, le Y en B et le Z en C. Les autres caractères (!, ? …) ne sont pas codés.\n\nLa fonction `position_alphabet` ci-dessous prend en paramètre un caractère `lettre` et renvoie la position de `lettre` dans la chaîne de caractères alphabet s'il s'y trouve.\n\nLa fonction `cesar` prend en paramètre une chaîne de caractères message et un nombre entier `decalage` et renvoie le nouveau message codé avec le codage de César utilisant le décalage `decalage`. Compléter la fonction `cesar`.\n!!!\n\n??? example Exemples\n>>> cesar('BONJOUR A TOUS. VIVE LA MATIERE NSI !', 4)\n'FSRNSYV E XSYW. ZMZI PE QEXMIVI RWM !'\n>>> cesar('GTSOTZW F YTZX. ANAJ QF RFYNJWJ SXN !', -5)\n'BONJOUR A TOUS. VIVE LA MATIERE NSI !'\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"alphabet = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'\n\ndef position_alphabet(lettre):\n    '''Renvoie la position de la lettre dans l'alphabet'''\n    return ord(lettre) - ord('A')\n    \ndef cesar(message, decalage):\n    '''Renvoie le message codé par la méthode de César\n    pour le decalage donné'''\n    resultat = ''\n    for ... in message:\n        if 'A' <= c and c <= 'Z':\n            indice = (...) % 26\n            resultat = resultat + alphabet[indice]\n        else:\n            resultat = ...\n    return resultat","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"11.1\"></a>\n!!! question Sujet 11 — Exercice 1\nUn arbre binaire est soit vide, représenté en Python par la valeur `None`, soit un nœud représenté par un triplet `(g, x, d)` où `x` est l'étiquette du nœud et `g` et `d` sont les sous-arbres gauche et droit.\n\nOn souhaite écrire une fonction `parcours_largeur` qui prend en paramètre un arbre binaire et qui renvoie la liste des étiquettes des nœuds de l'arbre parcourus en largeur.\n!!!\n\n??? example Exemples\n```python\n>>> arbre = ( ( (None, 1, None), 2, (None, 3, None) ),\n              4,\n              ( (None, 5, None), 6, (None, 7, None) ) )\n>>> parcours_largeur(arbre)\n[4, 2, 6, 1, 3, 5, 7]\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"11.2\"></a>\n!!! question Sujet 11 — Exercice 2\nOn considère un tableau non vide de nombre entiers, positifs ou négatifs, et on souhaite déterminer la plus grande somme possible de ses éléments consécutifs.\n\nPar exemple, dans le tableau `[1, -2, 3, 10, -4, 7, 2, -5]`, la plus grande somme est 18 obtenue en additionnant les éléments 3, 10, -4, 7, 2.\n\nPour cela, on va résoudre le problème par programmation dynamique. Si on note `tab` le tableau considéré et `i` un indice dans ce tableau, on se ramène à un problème plus simple : déterminer la plus grande somme possible de ses éléments consécutifs se terminant à l'indice `i`.\n\nSi on connait la plus grande somme possible de ses éléments consécutifs se terminant à l'indice `i-1`, on peut déterminer la plus grande somme possible de ses éléments consécutifs se terminant à l'indice `i` :\n\n- soit on obtient une plus grande somme en ajoutant `tab[i]` à cette somme précédente\n- soit on commence une nouvelle somme à partir de `tab[i]`\n\nCompléter la fonction `somme_max` ci-dessous qui réalise cet algorithme.\n!!!\n\n??? example Exemples\n```python\n>>> somme_max([1, 2, 3, 4, 5])\n15\n>> somme_max([1, 2, -3, 4, 5])\n9\n>>> somme_max([1, 2, -2, 4, 5])\n10\n>>> somme_max([1, -2, 3, 10, -4, 7, 2, -5])\n18\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def somme_max(tab):\n    n = len(tab)\n    sommes_max = [0]*n\n    sommes_max[0] = tab[0]\n    # on calcule la plus grande somme se terminant en i\n    for i in range(1,n):\n        if ... + ... > ...:\n            sommes_max[i] = ...\n        else:\n            sommes_max[i] = ...\n    # on en déduit la plus grande somme de celles-ci\n    maximum = 0\n    for i in range(1, n):\n        if ... > ...:\n            maximum = i\n    return sommes_max[...]","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"12.1\"></a>\n!!! question Sujet 12 — Exercice 1\nProgrammer la fonction `fusion` prenant en paramètres deux tableaux non vides `tab1` et `tab2` (type `list`) d'entiers, chacun dans l'ordre croissant, et renvoyant un tableau trié dans l'ordre croissant et contenant l'ensemble des valeurs de `tab1` et `tab2`.\n!!!\n\n??? example Exemples\n\n```python\n>>> fusion([3, 5], [2, 5])\n[2, 3, 5, 5]\n>>> fusion([-2, 4], [-3, 5, 10])\n[-3, -2, 4, 5, 10]\n>>> fusion([4], [2, 6])\n[2, 4, 6]\n>>> fusion([], [])\n[]\n>>> fusion([1, 2, 3], [])\n[1, 2, 3]\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"12.2\"></a>\n!!! question Sujet 12 — Exercice 2\nLe but de cet exercice est d'écrire une fonction récursive `traduire_romain` qui prend en paramètre une chaîne de caractères, non vide, représentant un nombre écrit en chiffres romains et qui renvoie son écriture décimale.\n\nLes chiffres romains considérés sont : I, V, X, L, C, D et M. Ils représentent respectivement les nombres 1, 5, 10, 50, 100, 500, et 1000 en base dix.\n\nOn dispose d'un dictionnaire romains dont les clés sont les caractères apparaissant dans l'écriture en chiffres romains et les valeurs sont les nombres entiers associés en écriture décimale :\n\n```python\nromains = {\"I\":1, \"V\":5, \"X\":10, \"L\":50, \"C\":100, \"D\":500, \"M\":1000}\n```\n\nLe code de la fonction `traduire_romain` fournie repose sur le principe suivant :\n\n- la valeur d'un caractère est ajoutée à la valeur du reste de la chaîne si ce caractère a une valeur supérieure (ou égale) à celle du caractère qui le suit\n- la valeur d'un caractère est retranchée à la valeur du reste de la chaîne si ce caractère a une valeur strictement inférieure à celle du caractère qui le suit.\n\nAinsi, XIV correspond au nombre $10 + 5 - 1$ puisque :\n\n- la valeur de X (10) est supérieure à celle de I (1), on ajoute donc 10 à la valeur du reste de la chaîne, c'est-à-dire IV\n- la valeur de I (1) est strictement inférieure à celle de V (5), on soustrait donc 1 à la valeur du reste de la chaîne, c'est-à-dire V.\n\nCompléter le code de la fonction `traduire_romain` et le tester.\n!!!\n\n!!! info Indication\nOn rappelle que pour priver une chaîne de caractères de son premier caractère, on utilisera l'instruction :\n\n```python\nnom_de_variable[1:]\n```\n\nPar exemple, si la variable `mot` contient la chaîne `\"CDI\"`, `mot[1:]` renvoie `\"DI\"`.\n!!!\n\n\n??? example Exemples\n```python\n>>> traduire_romain(\"XIV\")\n14\n>>> traduire_romain(\"CXLII\")\n142\n>>> traduire_romain(\"MMXXIV\")\n2024\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"romains = {\"I\":1, \"V\":5, \"X\":10, \"L\":50, \"C\":100, \"D\":500, \"M\":1000}\n\ndef traduire_romain(nombre):\n    \"\"\" Renvoie l'écriture décimale du nombre donné en chiffres\n    romains \"\"\"\n    if len(nombre) == 1:\n        return ...\n    elif romains[nombre[0]] >= ...:\n        return romains[nombre[0]] + ...\n    else:\n        return ...","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"13.1\"></a>\n!!! question Sujet 13 — Exercice 1\nÉcrire une fonction `recherche` qui prend en paramètres `elt` nombre entier et `tab` un tableau de nombres entiers (type `list`), et qui renvoie l'indice de la première occurrence de `elt` dans `tab` si `elt` est dans `tab` et `None` sinon.\n\nL'objectif de cet exercice est de parcourir un tableau, il est interdit d'utiliser la méthode `index` des listes Python.\n!!!\n\n??? example Exemples\n```python\n>>> recherche(1, [2, 3, 4]) # renvoie None\n>>> recherche(1, [10, 12, 1, 56])\n2\n>>> recherche(50, [1, 50, 1])\n1\n>>> recherche(15, [8, 9, 10, 15])\n3\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"13.2\"></a>\n!!! question Sujet 13 — Exercice 2\nOn considère la fonction `insere` ci-dessous qui prend en argument un tableau `tab` d'entiers triés par ordre croissant et un entier `a`. Cette fonction crée et renvoie un nouveau tableau `tab` d'entiers triés par ordre croissant.\n\nCette fonction crée et renvoie un nouveau tableau à partir de celui fourni en paramètre en y insérant la valeur `a` de sorte que le tableau renvoyé soit encore trié par ordre croissant. Les tableaux seront représentés sous la forme de listes Python.\n!!!\n\n??? example Exemples\n```python\n>>> insere([1, 2, 4, 5], 3)\n[1, 2, 3, 4, 5]\n>>> insere([1, 2, 7, 12, 14, 25], 30)\n[1, 2, 7, 12, 14, 25, 30]\n>>> insere([2, 3, 4], 1)\n[1, 2, 3, 4]\n>>> insere([], 1)\n[1]\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def insere(tab, a):\n    \"\"\"\n    Insère l'élément a (int) dans le tableau tab (list)\n    trié par ordre croissant à sa place et renvoie le\n    nouveau tableau.\n    \"\"\"\n    tab_a = [ a ] + tab # nouveau tableau contenant a\n                        # suivi des éléments de tab\n    i = 0\n    while i < ... and a > ...:\n        tab_a[i] = ...\n        tab_a[i+1] = a\n        i = ...\n    return tab_a","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"14.1\"></a>\n!!! question Sujet 14 — Exercice 1\nDans cet exercice les tableaux sont représentés par des listes Python (type `list`).\n\nÉcrire en python deux fonctions :\n\n- `lancer` de paramètre `n`, un entier positif, qui renvoie un tableau de `n` entiers obtenus aléatoirement entre 1 et 6 (1 et 6 inclus)\n- `paire_6` de paramètre `tab`, un tableau de `n` entiers compris entre 1 et 6 et qui renvoie un booléen égal à `True` si le nombre de 6 est supérieur ou égal à 2, `False` sinon.\n!!!\n\n!!! info Indication\nOn pourra utiliser la fonction `randint(a,b)` du module `random` pour laquelle la documentation officielle est la suivante :\n\n> `random.randint(a, b)` renvoie un entier aléatoire `N` tel que `a <= N <= b`.\n!!!\n\n??? example Exemples\n```python\n>>> lancer1 = lancer(5)\n>>> lancer1\n[5, 6, 6, 2, 2]\n>>> paire_6(lancer1)\nTrue\n>>> lancer2 = lancer(5)\n>>> lancer2\n[6, 5, 1, 6, 6]\n>>> paire_6(lancer2)\nTrue\n>>> lancer3 = lancer(3)\n>>> lancer3\n[2, 2, 6]\n>>> paire_6(lancer3)\nFalse\n>>> lancer4 = lancer(0)\n>>> lancer4\n[]\n>>> paire_6(lancer4)\nFalse\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"14.2\"></a>\n!!! question Sujet 14 — Exercice 2\nOn considère une image en 256 niveaux de gris que l'on représente par une grille de nombres, c'est-à-dire une liste composée de sous-listes toutes de longueurs identiques.\n\nLa largeur de l'image est donc la longueur d'une sous-liste et la hauteur de l'image est le nombre de sous-listes.\n\nChaque sous-liste représente une ligne de l'image et chaque élément des sous-listes est un entier compris entre 0 et 255, représentant l'intensité lumineuse du pixel.\n\nLe négatif d'une image est l'image constituée des pixels $x_n$ tels que $x_n + x_i = 255$ où $x_i$ est le pixel correspondant de l'image initiale.\n\nÉtant donné une valeur `seuil`, la binarisation d'une image est l'image constituée des pixels $x_b$ valant 0 si $x_i$ < `seuil` et 255 sinon, où $x_i$ est le pixel correspondant de l'image initiale.\n\nCompléter le programme ci-dessous :\n!!!\n\n??? example Exemples\n```python\n>>> img=[[20, 34, 254, 145, 6], [23, 124, 237, 225, 69],\n         [197, 174, 207, 25, 87], [255, 0, 24, 197, 189]]\n>>> nombre_lignes(img)\n4\n>>> nombre_colonnes(img)\n5\n>>> negatif(img)\n[[235, 221, 1, 110, 249], [232, 131, 18, 30, 186],\n [58, 81, 48, 230, 168], [0, 255, 231, 58, 66]]\n>>> binaire(img,120)\n[[0, 0, 255, 255, 0],[0, 255, 255, 255, 0],\n [255, 255, 255, 0, 0],[255, 0, 0, 255, 255]]\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def nombre_lignes(image):\n    '''renvoie le nombre de lignes de l'image'''\n    return ...\n    \ndef nombre_colonnes(image):\n    '''renvoie la largeur de l'image'''\n    return ...\n    \ndef negatif(image):\n    '''renvoie le negatif de l'image sous la forme\n       d'une liste de listes'''\n    # on cree une image de 0 aux memes dimensions\n    # que le parametre image\n    nouvelle_image = [[0 for k in range(nombre_colonnes(image))]\n         for i in range(nombre_lignes(image))]\n    for i in range(nombre_lignes(image)):\n        for j in range(...):\n            nouvelle_image[i][j] = ...\n    return nouvelle_image\n    \ndef binaire(image, seuil):\n    '''renvoie une image binarisee de l'image sous la forme\n       d'une liste de listes contenant des 0 si la valeur\n       du pixel est strictement inferieure au seuil et 255 sinon'''\n    nouvelle_image = [[0] * nombre_colonnes(image)\n                      for i in range(nombre_lignes(image))]\n    for i in range(nombre_lignes(image)):\n        for j in range(...):\n            if image[i][j] < ... :\n                nouvelle_image[i][j] = ...\n            else:\n                nouvelle_image[i][j] = ...\n    return nouvelle_image","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"15.1\"></a>\n!!! question Sujet 15 — Exercice 1\nProgrammer la fonction `multiplication` qui en paramètres deux nombres entiers **relatifs** `n1` et `n2`, et qui renvoie le produit de ces deux nombres.\n\nLes seules opérations arithmétiques autorisées sont l'addition et la soustraction.\n!!!\n\n??? example Exemples\n```python\n>>> multiplication(3, 5)\n15\n>>> multiplication(-4, -8)\n32\n>>> multiplication(-2, 6)\n-12\n>>> multiplication(-2, 0)\n0\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"15.2\"></a>\n!!! question Sujet 15 — Exercice 2\nSoit `tab` un tableau non vide d'entiers triés dans l'ordre croissant et `n` un entier.\n\nLa fonction `chercher` ci-dessous doit renvoyer un indice où la valeur `n` apparaît dans `tab` si cette valeur y figure et `None` sinon.\n\nLes paramètres de la fonction sont :\n\n- `tab`, le tableau dans lequel s'effectue la recherche\n- `x`, l'entier à chercher dans le tableau\n- `i`, l'indice de début de la partie du tableau où s'effectue la recherche\n- `j`, l'indice de fin de la partie du tableau où s'effectue la recherche.\n\nL'algorithme demandé est une **recherche dichotomique récursive**.\n\nRecopier et compléter le code de la fonction chercher suivante :\n!!!\n\n??? example Exemples\n```python\n>>> chercher([1, 5, 6, 6, 9, 12], 7, 0, 5)\n>>> chercher([1, 5, 6, 6, 9, 12], 9, 0, 5)\n4\n>>> chercher([1, 5, 6, 6, 9, 12], 6, 0, 5)\n2\n>>> chercher([1], 0, 0, 0)\n>>> chercher([1], 1, 0, 0)\n0\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def chercher(tab, x, i, j):\n    '''Renvoie l'indice de x dans tab, si x est dans tab,\n    None sinon.\n    On suppose que tab est trié dans l'ordre croissant.'''\n    if i > j:\n        return None\n    m = (i + j) // ...\n    if ... < x:\n        return chercher(tab, x, ... , ...)\n    elif tab[m] > x:\n        return chercher(tab, x, ... , ...)\n    else:\n        return ...","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"16.1\"></a>\n\n!!! question Sujet 16 — Exercice 1\nÉcrire une fonction `moyenne(notes)` qui renvoie la moyenne pondérée des résultats contenus dans le tableau `notes`, non vide, donné en paramètre. Ce tableau contient des couples `(note, coefficient)` dans lesquels :\n\n- `note` est un nombre de type flottant (`float`) compris entre 0 et 20\n- `coefficient` est un nombre entier strictement positif.\n\nAinsi l'expression `moyenne([(15.0, 2), (9.0, 1), (12.0, 3)])` devra renvoyer `12.5` comme résultat du calcul suivant :\n\n$$\\frac{2 \\times 15 + 1 \\times 9 + 3 \\times 12}{2 + 1 + 3} = 12.5$$\n!!!"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"16.2\"></a>\n\n!!! question Sujet 16 — Exercice 2\nOn cherche à déterminer les valeurs du triangle de Pascal (Figure 1).\n\n<img src=\"attachment:image_23f2e8ff\" style=\"width: 600px; border-radius: 5px;\" />\n\nDans le triangle de Pascal, chaque ligne commence et se termine par le nombre 1. Comme l'illustre la Figure 2, on additionne deux valeurs successives d'une ligne pour obtenir la valeur qui se situe sous la deuxième valeur.\n\nCompléter les fonctions `ligne_suivante` et `pascal` ci-dessous. La fonction `ligne_suivante` prend en paramètre une liste d'entiers ligne correspondant à une ligne du triangle de Pascal et renvoie la liste correspondant à la ligne suivante du triangle de Pascal. La fonction `pascal` prend en paramètre un entier `n` et l'utilise pour construire le triangle de Pascal ayant `n+1` lignes sous la forme d'une liste de listes.\n!!!\n\n??? example Exemples\n```python\n>>> ligne_suivante([1, 3, 3, 1])\n[1, 4, 6, 4, 1]\n>>> pascal(2)\n[[1], [1, 1], [1, 2, 1]]\n>>> pascal(3)\n[[1], [1, 1], [1, 2, 1], [1, 3, 3, 1]]\n```\n???","attachments":{"image_23f2e8ff":{"image/png":"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ligne_suivante(ligne):\n    '''Renvoie la ligne suivant ligne du triangle de Pascal'''\n    ligne_suiv = [...]\n    for i in range(...):\n        ligne_suiv.append(...)\n    ligne_suiv.append(...)\n    return ligne_suiv\n\ndef pascal(n):\n    '''Renvoie le triangle de Pascal de hauteur n'''\n    triangle = [ [1] ]\n    for k in range(...):\n        ligne_k = ...\n        triangle.append(ligne_k)\n    return triangle","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"17.1\"></a>\n\n!!! question Sujet 17 — Exercice 1\nUn arbre binaire est soit vide, représenté en Python par la valeur `None`, soit un nœud, contenant une étiquette et deux sous-arbres gauche et droit et représenté par une instance de la classe `Noeud` donnée ci-dessous.\n\nL'arbre ci-dessus sera donc implémenté de la manière suivante :\n\n```python\na = Noeud(1, Noeud(4, None, None),\n             Noeud(0, None,\n                      Noeud(7, None, None)))\n```\n\nÉcrire une fonction récursive `taille` prenant en paramètre un arbre `a` et qui renvoie la taille de l'arbre que cette instance implémente.\n\nÉcrire de même une fonction récursive `hauteur` prenant en paramètre un arbre a et qui renvoie la hauteur de l'arbre que cette instance implémente.\n\nOn considère que la hauteur d'un arbre vide est `-1` et la taille d'un arbre vide est `0`.\n!!!\n\n??? example Exemples\n```python\n>>> hauteur(a)\n2\n>>> taille(a)\n4\n>>> hauteur(None)\n-1\n>>> taille(None)\n0\n>>> hauteur(Noeud(1, None, None))\n0\n>>> taille(Noeud(1, None, None))\n1\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"class Noeud:\n    def __init__(self, etiquette, gauche, droit):\n        self.v = etiquette\n        self.gauche = gauche\n        self.droit = droit","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"17.2\"></a>\n\n!!! question Sujet 17 — Exercice 2\nOn rappelle que les tableaux sont représentés par des listes en Python du type `list`.\n\nLe but de cet exercice est d'écrire une fonction `ajoute` qui prend en paramètres trois arguments `indice`, `element` et `tab` et renvoie un tableau `tab_ins` dans lequel les éléments sont ceux du tableau `tab` avec, en plus, l'élément `element` à l'indice `indice`.\n\nOn considère que les variables `indice` et `element` sont des entiers positifs et que les éléments de `tab` sont également des entiers.\n\nEn réalisant cette insertion, Les éléments du tableau `tab` dont les indices sont supérieurs ou égaux à `indice` apparaissent décalés vers la droite dans le tableau `tab_ins`.\n\nSi `indice` est égal au nombre d'éléments du tableau `tab`, l'élément `element` est ajouté dans `tab_ins` après tous les éléments du tableau `tab`.\n\nCompléter et tester le code ci-dessous.\n!!!\n\n??? example Exemples\n```python\n>>> ajoute(1, 4, [7, 8, 9])\n[7, 4, 8, 9]\n>>> ajoute(3, 4, [7, 8, 9])\n[7, 8, 9, 4]\n>>> ajoute(0, 4, [7, 8, 9])\n[4, 7, 8, 9]\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def ajoute(indice, element, tab):\n    '''Renvoie un nouveau tableau obtenu en insérant\n    element à l'indice indice dans le tableau tab.'''\n    nbre_elts = len(tab)\n    tab_ins = [0] * (nbre_elts + 1)\n    for i in range(indice):\n        tab_ins[i] = ...\n    tab_ins[...] = ...\n    for i in range(indice + 1, nbre_elts + 1):\n        tab_ins[i] = ...\n    return tab_ins","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"18.1\"></a>\n\n!!! question Sujet 18 — Exercice 1\nÉcrire une fonction `moyenne` qui prend en paramètre un tableau d'entiers non vide et qui renvoie un nombre flottant donnant la moyenne de ces entiers.\n!!!\n\n!!! warning Règle à respecter\nIl est interdit d'utiliser la fonction `sum` ou la fonction `mean` (module `statistics`) de Python.\n!!!\n\n??? example Exemples\n```python\n>>> moyenne([1])\n1.0\n>>> moyenne([1, 2, 3, 4, 5, 6, 7])\n4.0\n>>> moyenne([1, 2])\n1.5\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"18.2\"></a>\n\n\n!!! question Sujet 18 — Exercice 2\nLe but de l'exercice est de compléter une fonction qui détermine si une valeur est présente dans un tableau de valeurs triées dans l'ordre croissant.\n\nCompléter l'algorithme de dichotomie donné ci-après.\n!!!\n\n??? example Exemples\n```python\n>>> dichotomie([15, 16, 18, 19, 23, 24, 28, 29, 31, 33], 28)\nTrue\n>>> dichotomie([15, 16, 18, 19, 23, 24, 28, 29, 31, 33], 27)\nFalse\n>>> dichotomie([15, 16, 18, 19, 23, 24, 28, 29, 31, 33], 1)\nFalse\n>>> dichotomie([], 28)\nFalse\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def dichotomie(tab, x):\n    \"\"\"applique une recherche dichotomique pour déterminer\n    si x est dans le tableau trié tab.\n    La fonction renvoie True si tab contient x et False sinon\"\"\"\n    debut = 0\n    fin = ...\n    while debut <= fin:\n        m = ...\n        if x == tab[m]:\n            return ...\n        if x > tab[m]:\n            debut = ...\n        else:\n            fin = ...\n    return False","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"!!! question Sujet 19 — Exercice 1\nÉcrire une fonction `recherche_min` qui prend en paramètre un tableau de nombres `tab` non vide, et qui renvoie l'indice de la première occurrence du minimum de ce tableau. Les tableaux seront représentés sous forme de liste Python.\n!!!\n\n??? example Exemples\n>>> recherche_min([5])\n0\n>>> recherche_min([2, 4, 1])\n2\n>>> recherche_min([5, 3, 2, 2, 4])\n2\n>>> recherche_min([-1, -2, -3, -3])\n2\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"!!! question Sujet 19 — Exercice 2\nOn considère la fonction `separe` ci-dessous qui prend en argument un tableau `tab` dont les éléments sont des 0 et des 1 et qui sépare les 0 des 1 en plaçant les 0 en début de tableau et les 1 à la suite.\n!!!\n\n!!! example Exemples\n```python\n>>> separe([1, 0, 1, 0, 1, 0, 1, 0])\n[0, 0, 0, 0, 1, 1, 1, 1]\n>>> separe([1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0])\n[0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n```\n!!!\n\n!!! note Description de l'algorithme\n\nDescription d’étapes effectuées par la fonction separe sur le tableau ci-dessous, les caractères `^` indiquent les cases pointées par les indices gauche et droite :\n\n```python\ntab = [1, 0, 1, 0, 1, 0, 1, 0]\n       ^                    ^\n```\n\n* **Etape 1** : on regarde la première case, qui contient un 1 : ce 1 va aller dans la seconde partie du tableau final et on l’échange avec la dernière case. Il est à présent bien positionné : on ne prend plus la dernière case en compte.\n\n```python\ntab = [0, 0, 1, 0, 1, 0, 1, 1]\n       ^                 ^\n```\n\n* **Etape 2** : on regarde à nouveau la première case, qui contient maintenant un 0 : ce 0 va aller dans la première partie du tableau final et est bien positionné : on ne prend plus la première case en compte.\n\n```python\ntab = [0, 0, 1, 0, 1, 0, 1, 1]\n          ^              ^\n```\n\n* **Etape 3** : on regarde la seconde case, qui contient un 0 : ce 0 va aller dans la première partie du tableau final et est bien positionné : on ne prend plus la seconde case en compte.\n\n```python\ntab = [0, 0, 1, 0, 1, 0, 1, 1]\n             ^           ^\n```\n\n* **Etape 4** : on regarde la troisième case, qui contient un 1 : ce 1 va aller dans la seconde partie du tableau final et on l’échange avec l’avant-dernière case. Il est à présent bien positionné : on ne prend plus l’avant-dernière case en compte.\n\n```python\ntab = [0, 0, 1, 0, 1, 0, 1, 1]\n             ^        ^\n```\n\nEt ainsi de suite... :\n\n```python\ntab = [0, 0, 0, 0, 1, 1, 1, 1]\n```\n!!!"},{"metadata":{"trusted":false},"cell_type":"code","source":"def separe(tab):\n    '''Separe les 0 et les 1 dans le tableau tab'''\n    gauche = 0\n    droite = ...\n    while gauche < droite:\n        if tab[gauche] == 0 :\n            gauche = ...\n        else :\n            tab[gauche] = ...\n            tab[droite] = ...\n            droite = ...\n    return tab","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"20.1\"></a>\n\n!!! question Sujet 20 — Exercice 1\nÉcrire une fonction `min_et_max` qui prend en paramètre un tableau de nombres `tab` non vide, et qui renvoie la plus petite et la plus grande valeur du tableau sous la forme d'un dictionnaire à deux clés `min` et `max`.\n\nLes tableaux seront représentés sous forme de liste Python.\n!!!\n\n!!! warning Règle à respecter\nL'utilisation des fonctions natives `min`, `max` et `sorted`, ainsi que la méthode `sort` n'est pas autorisée.\n!!!\n\n??? example Exemples\n```python\n>>> min_et_max([0, 1, 4, 2, -2, 9, 3, 1, 7, 1])\n{'min': -2, 'max': 9}\n>>> min_et_max([0, 1, 2, 3])\n{'min': 0, 'max': 3}\n>>> min_et_max([3])\n{'min': 3, 'max': 3}\n>>> min_et_max([1, 3, 2, 1, 3])\n{'min': 1, 'max': 3}\n>>> min_et_max([-1, -1, -1, -1, -1])\n{'min': -1, 'max': -1}\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"20.2\"></a>\n\n!!! question Sujet 20 — Exercice 2\nOn dispose d’une classe `Carte` permettant de créer des objets modélisant des cartes à\njouer.\n\nCompléter la classe `Paquet_de_cartes` suivante en respectant les spécifications\ndonnées dans les chaînes de documentation.\n\nAjouter une assertion dans la méthode `recuperer_carte` afin de vérifier que le paramètre `pos` est correct.\n\nOn rappelle que l’instruction `assert condition, message` permet de vérifier que la condition est vraie. Si ce n’est pas le cas, le programme s’arrête et affiche le message d’erreur fourni.\n!!!\n\n??? example Exemples\n```python\n>>> jeu = Paquet_de_cartes()\n>>> carte1 = jeu.recuperer_carte(20)\n>>> carte1.recuperer_valeur() + \" de \" + carte1.recuperer_couleur()\n\"8 de coeur\"\n>>> carte2 = jeu.recuperer_carte(0)\n>>> carte2.recuperer_valeur() + \" de \" + carte2.recuperer_couleur()\n\"As de pique\"\n>>> carte3 = jeu.recuperer_carte(52)\nAssertionError : paramètre pos invalide\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"class Carte:\n    def __init__(self, c, v):\n        \"\"\" Initialise les attributs couleur (entre 1 et 4), et valeur (entre 1 et 13). \"\"\"\n        self.couleur = c\n        self.valeur = v\n\n    def recuperer_valeur(self):\n        \"\"\" Renvoie la valeur de la carte : As, 2, ..., 10, Valet, Dame, Roi \"\"\"\n        valeurs = ['As','2', '3', '4', '5', '6', '7', '8', '9', '10', 'Valet', 'Dame', 'Roi']\n        return valeurs[self.valeur - 1]\n\n    def recuperer_couleur(self):\n        \"\"\" Renvoie la couleur de la carte (parmi pique, coeur, carreau, trèfle). \"\"\"\n        couleurs = ['pique', 'coeur', 'carreau', 'trèfle']\n        return couleurs[self.couleur - 1]\n\nclass Paquet_de_cartes:\n    def __init__(self):\n        \"\"\" Initialise l'attribut contenu avec une liste des 52 objets Carte possibles\n            rangés par valeurs croissantes en commençant par pique, puis coeur,\n            carreau et tréfle. \"\"\"\n        ...\n        ...\n            ...\n                ...\n\n    def recuperer_carte(self, pos):\n        \"\"\" Renvoie la carte qui se trouve à la position pos (entier compris entre 0 et 51). \"\"\"\n        ...\n        ...","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"21.1\"></a>\n\n!!! question Sujet 21 — Exercice 1\nÉcrire une fonction `indices_maxi` qui prend en paramètre un tableau non vide de nombre entiers `tab`, représenté par une liste Python et qui renvoie un tuple (`maxi`, `indices`) où :\n\n- `maxi` est le plus grand élément du tableau `tab`\n- `indices` est une liste Python contenant les indices du tableau `tab` où apparaît ce plus grand élément.\n!!!\n\n??? example Exemples\n```python\n>>> indices_maxi([1, 5, 6, 9, 1, 2, 3, 7, 9, 8])\n(9, [3, 8])\n>>> indices_maxi([7])\n(7, [0])\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"21.2\"></a>\n\n!!! question Sujet 21 — Exercice 2\nCet exercice utilise des piles qui seront représentées par des listes Python.\n\nSi `pile` est une pile, alors :\n* `pile == []` indique si la pile est vide\n* `pile.pop()` retire et renvoie le sommet de la pile \n* `pile.append(v)` ajoute la valeur `v` au sommet de la pile\n\nSi on considère qu'une fonction manipule une pile, elle ne peut pas utiliser d'autres opérations que celles décrites ci-dessus.\n\nOn cherche à écrire une fonction `positifs` qui prend une pile de nombres entiers en paramètre et qui renvoie une nouvelle pile contenant les entiers positifs de la pile initiale, dans le même ordre, quitte à modifier la pile initiale.\n\nPour cela, on va également écrire une fonction `renverse` qui prend une pile en paramètre et qui renvoie une nouvelle pile contenant les mêmes éléments que la pile initiale, mais dans l'ordre inverse. Cette fonction sera également amenée à modifier la pile passée en paramètre.\n\nCompléter le code Python des fonctions `renverse` et `positifs` ci-après.\n!!!\n\n??? example Exemples\n```python\n>>> renverse([1, 2, 3, 4, 5])\n[5, 4, 3, 2, 1]\n>>> positifs([-1, 0, 5, -3, 4, -6, 10, 9, -8])\n[0, 5, 4, 10, 9]\n>>> positifs([-2])\n[]\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def renverse(pile):\n    '''renvoie une pile contenant les mêmes éléments que pile,\n    mais dans l'ordre inverse.\n    Cette fonction détruit pile.'''\n    pile_inverse = ...\n    while pile != []:\n        ... .append(...)\n    return ...","execution_count":null,"outputs":[]},{"metadata":{"trusted":false},"cell_type":"code","source":"def positifs(pile):\n    '''renvoie une pile contenant les éléments positifs de pile,\n    dans le même ordre. Cette fonction détruit pile.'''\n    pile_positifs = ...\n    while pile != []:\n        ... = pile.pop()\n        if ... >= 0:\n            ...\n    return ...","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"22.1\"></a>\n\n!!! question Sujet 22 — Exercice 1\nÉcrire une fonction `recherche` qui prend en paramètres `elt` un nombre entier et `tab` un tableau de nombres entiers (type `list`), et qui renvoie l'indice de la dernière occurrence de `elt` dans `tab` si `elt` est dans `tab` et `None` sinon.\n!!!\n\n??? example Exemples\n```python\n>>> recherche(1, [2, 3, 4]) # renvoie None\n>>> recherche(1, [10, 12, 1, 56])\n2\n>>> recherche(1, [1, 0, 42, 7])\n0\n>>> recherche(1, [1, 50, 1])\n2\n>>> recherche(1, [8, 1, 10, 1, 7, 1, 8])\n5\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"22.2\"></a>\n\n!!! question Sujet 22 — Exercice 2\nOn définit une classe gérant une adresse IPv4.\n\nOn rappelle qu'une adresse IPv4 est une adresse de longueur 4 octets, notée en décimale à point, en séparant chacun des octets par un point. On considère un réseau privé avec une plage d'adresses IP de `192.168.0.0` à `192.168.0.255`.\n\nOn considère que les adresses IP saisies sont valides.\n\nLes adresses IP `192.168.0.0` et `192.168.0.255` sont des adresses réservées.\n\nLe code ci-dessous implémente la classe `AdresseIP`.\n\nCompléter le code ci-dessus et instancier trois objets : `adresse1`, `adresse2`, `adresse3` avec respectivement les arguments suivants :\n\n```python\n'192.168.0.1', '192.168.0.2', '192.168.0.0'\n```\n\nVérifier que :\n\n```python\n>>> adresse1.liste_octets()\n[192, 168, 0, 1]\n>>> adresse1.est_reservee()\nFalse\n>>> adresse3.est_reservee()\nTrue\n>>> adresse2.adresse_suivante().adresse # acces valide à adresse\n                 # ici car on sait que l'adresse suivante existe\n'192.168.0.3'\n```\n\n!!!"},{"metadata":{"trusted":false},"cell_type":"code","source":"class AdresseIP:\n    \n    def __init__(self, adresse):\n        self.adresse =...\n        \n    def liste_octets(self):\n        \"\"\"renvoie une liste de nombres entiers,\n        la liste des octets de l'adresse IP\"\"\"\n        # Note : split découpe la chaine de caractères\n        # en fonction du séparateur\n        return [int(i) for i in self.adresse.split(\".\")]\n    \n    def est_reservee(self):\n        \"\"\"renvoie True si l'adresse IP est une adresse\n        réservée, False sinon\"\"\"\n        reservees = [ ... ]\n        return ...\n    \n    def adresse_suivante(self):\n        \"\"\"renvoie un objet de AdresseIP avec l'adresse\n        IP qui suit l'adresse self si elle existe et None sinon\"\"\"\n        octets = ...\n        if ... == 254:\n            return None\n        octet_nouveau = ... + ...\n        return AdresseIP('192.168.0.' + ...)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"23.1\"></a>\n\n!!! question Sujet 23 — Exercice 1\nOn veut trier par ordre croissant les notes d’une évaluation qui sont des nombres entiers\ncompris entre 0 et 10 (inclus).\n\nCes notes sont contenues dans un tableau `notes_eval` (type `list`)\n\nÉcrire une fonction `effectif_notes` prenant en paramètre le tableau `notes_eval` et\nrenvoyant un tableau de longueur 11 tel que la valeur d’indice `i` soit le nombre de notes\nvalant `i` dans le tableau `notes_eval`.\n\nÉcrire ensuite une fonction `notes_triees` prenant en paramètre le tableau des effectifs\ndes notes et renvoyant un tableau contenant les mêmes valeurs que `notes_eval` mais\ntriées dans l’ordre croissant.\n!!!\n\n??? example Exemple\n```python\n>>> notes_eval = [2, 0, 5, 9, 6, 9, 10, 5, 7, 9, 9, 5, 0, 9, 6, 5, 4]\n>>> eff = effectif_notes(notes_eval)\n>>> eff\n[2, 0, 1, 0, 1, 4, 2, 1, 0, 5, 1]\n>>> notes_triees(eff)\n[0, 0, 2, 4, 5, 5, 5, 5, 6, 6, 7, 9, 9, 9, 9, 9, 10]\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"23.2\"></a>\n\n!!! question Sujet 23 — Exercice 2\nL’objectif de cet exercice est d’écrire deux fonctions récursives `dec_to_bin` et\n`bin_to_dec` assurant respectivement la conversion de l’écriture décimale d’un nombre\nentier vers son écriture en binaire et, réciproquement, la conversion de l’écriture en\nbinaire d’un nombre vers son écriture décimale.\n\nDans cet exercice, on s’interdit l’usage des fonctions Python `bin` et `int`.\n\nL'exemple suivant montre comment obtenir l’écriture en binaire du\nnombre 25 :\n\n$$\n\\begin{aligned}\n25 &= 2 \\times 12 + 1 \\\\\n   &= 2 \\times (2 \\times 6 + 0) + 1 \\\\\n   &= 2 \\times (2 \\times (2 \\times 3 + 0) + 0) + 1 \\\\\n   &= 2 \\times (2 \\times (2 \\times (2 \\times 1+1) + 0) + 0) + 1 \\\\\n   &= 2 \\times (2 \\times (2 \\times (2 \\times (2 \\times 0 + 1)+1) + 0) + 0) + 1 \\\\\n   &= 1 \\times 2^4 + 1 \\times 2^3 + 0 \\times 2^2 + 0 \\times 2^1 + 1 \\times 2^0 \\\\\n\\end{aligned}\n$$\n\nL'écriture binaire de 25 est donc `11001`.\n\nCompléter, puis tester, les codes de deux fonctions ci-dessous. \nOn précise que la fonction récursive `dec_to_bin` prend en paramètre un nombre entier\net renvoie une chaîne de caractères contenant l’écriture en binaire du nombre passé en\nparamètre.\n\n!!!\n\n!!! info Indications\n0n rappelle également que :\n\n- `a // 2` renvoie le quotient de la division euclidienne de `a` par 2.\n- `a % 2` renvoie le reste dans la division euclidienne de `a` par 2.\n\nOn indique enfin qu’en Python si `mot = \"informatique\"` alors :\n\n- `mot[-1]` renvoie `'e'`, c’est-à-dire le dernier caractère de la chaîne de caractères `mot`.\n- `mot[:-1]` renvoie `'informatiqu'` , c’est-à-dire l’ensemble de la chaîne de\ncaractères `mot` privée de son dernier caractère.\n!!!\n\n??? example Exemple\n```python\n>>> dec_to_bin(25)\n'11001'\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def dec_to_bin(nb_dec):\n    q, r = nb_dec // 2, nb_dec % 2\n    if q == ...: \n        return ... \n    else:\n        return dec_to_bin(...) + ... \n\ndef bin_to_dec(nb_bin):\n    if len(nb_bin) == 1:\n        if ... == '0': \n            return 0\n        else:\n            return ... \n    else:\n        if nb_bin[-1] == '0':\n            bit_droit = 0\n        else:\n            ...\n        return ... * bin_to_dec(nb_bin[:-1]) + ...","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"24.1\"></a>\n\n!!! question Sujet 24 — Exercice 1\nÉcrire une fonction `enumere` qui prend en paramètre un tableau `tab` (type `list`) et renvoie un dictionnaire `d` dont les clés sont les éléments de `tab` avec pour valeur associée la liste des indices de l'élément dans le tableau `tab`.\n!!!\n\n??? example Exemples\n```python\n>>> enumere([])\n{}\n>>> enumere([1, 2, 3])\n{1: [0], 2: [1], 3: [2]}\n>>> enumere([1, 1, 2, 3, 2, 1])\n{1: [0, 1, 5], 2: [2, 4], 3: [3]}\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"24.2\"></a>\n\n!!! question Sujet 24 — Exercice 2\n\n<img src=\"attachment:image_fe934c18\" width=\"280px\" style=\"float: right; border-radius: 5px; margin-left: 1rem;\">\n\nUn arbre binaire est soit vide, représenté en Python par la valeur `None`, soit un nœud, contenant une étiquette et deux sous-arbres gauche et droit représentés par une instance de la classe `Noeud` donnée ci-dessous.\n\nLa fonction récursive `parcours` renvoie la liste des étiquettes des nœuds de l'arbre implémenté par l'instance arbre dans l'ordre du parcours en profondeur infixe à partir d'une liste vide passée en argument.\n\nCompléter le code de la fonction `insere`, présenté page suivante, qui prend en argument un arbre binaire de recherche `arbre` représenté ainsi et une étiquette `cle`, non présente dans l'arbre, et qui :\n\n- renvoie une nouvelle feuille d'étiquette `cle` s'il est vide\n- renvoie l'arbre après l'avoir modifié en insérant `cle` sinon\n- garantit que l'arbre ainsi complété soit encore un arbre binaire de recherche.\n\nTester ensuite ce code en utilisant la fonction `parcours` et en insérant successivement des nœuds d'étiquette 1, 4, 6 et 8 dans l'arbre binaire de recherche représenté ci-contre.\n!!!","attachments":{"image_fe934c18":{"image/png":"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"}}},{"metadata":{"trusted":false},"cell_type":"code","source":"class Noeud:\n    \"\"\"Classe représentant un noeud d'un arbre binaire\"\"\"\n    def __init__(self, etiquette, gauche, droit):\n        \"\"\"Crée un noeud de valeur etiquette avec\n        gauche et droit comme fils.\"\"\"\n        self.etiquette = etiquette\n        self.gauche = gauche\n        self.droit = droit","execution_count":null,"outputs":[]},{"metadata":{"trusted":false},"cell_type":"code","source":"def parcours(arbre, liste):\n    \"\"\"parcours récursivement l'arbre en ajoutant les étiquettes\n    de ses noeuds à la liste passée en argument en ordre infixe.\"\"\"\n    if arbre != None:\n        parcours(arbre.gauche, liste)\n        liste.append(arbre.etiquette)\n        parcours(arbre.droit, liste)\n    return liste","execution_count":null,"outputs":[]},{"metadata":{"trusted":false},"cell_type":"code","source":"def insere(arbre, cle):\n    \"\"\"insere la cle dans l'arbre binaire de recherche\n    représenté par arbre.\n    Retourne l'arbre modifié.\"\"\"\n    if arbre == None:\n        return Noeud(cle, None, None) # creation d'une feuille\n    else:\n        if ...:\n            arbre.gauche = insere(arbre.gauche, cle)\n        else:\n            arbre.droit = ...\n        return arbre","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"25.1\"></a>\n\n!!! question Sujet 25 — Exercice 1\nOn a relevé les valeurs moyennes annuelles des températures à Paris pour la période allant de 2013 à 2019. Les résultats ont été récupérés sous la forme de deux tableaux (de type `list`) : l'un pour les températures, l'autre pour les années :\n\n```python\nt_moy = [14.9, 13.3, 13.1, 12.5, 13.0, 13.6, 13.7]\nannees = [2013, 2014, 2015, 2016, 2017, 2018, 2019]\n```\n\nÉcrire la fonction `annee_temperature_minimale` qui prend en paramètres ces deux tableaux et qui renvoie la plus petite valeur relevée au cours de la période et l'année correspondante.\n\nOn suppose que la température minimale est atteinte une seule fois.\n!!!\n\n??? example Exemples\n```python\n>>> annee_temperature_minimale(t_moy, annees)\n(12.5, 2016)\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"t_moy = [14.9, 13.3, 13.1, 12.5, 13.0, 13.6, 13.7]\nannees = [2013, 2014, 2015, 2016, 2017, 2018, 2019]","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"25.2\"></a>\n\n!!! question Sujet 25 — Exercice 2\nUn mot palindrome peut se lire de la même façon de gauche à droite ou de droite à gauche : kayak, radar, et non sont des mots palindromes.\n\nDe même certains nombres ont des écritures décimales qui sont des palindromes : 33, 121, 345543.\n\nL'objectif de cet exercice est d'obtenir un programme Python permettant de tester si un nombre est un nombre palindrome.\n\nPour remplir cette tâche, on vous demande de compléter le code des trois fonctions ci-dessous qui s'appuient les unes sur les autres :\n\n- `inverse_chaine` : qui renvoie une chaîne de caractères inversée\n- `est_palindrome` : qui teste si une chaîne de caractères est un palindrome\n- `est_nbre_palindrome` : qui teste si un nombre est un palindrome.\n\nCompléter le code des trois fonctions ci-dessous.\n!!!\n\n??? example Exemples\n```python\n>>> inverse_chaine('bac')\n'cab'\n>>> est_palindrome('NSI')\nFalse\n>>> est_palindrome('ISN-NSI')\nTrue\n>>> est_nbre_palindrome(214312)\nFalse\n>>> est_nbre_palindrome(213312)\nTrue\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def inverse_chaine(chaine):\n    '''Retourne la chaine inversée'''\n    resultat = ...\n    for caractere in chaine:\n        resultat = ...\n    return resultat","execution_count":null,"outputs":[]},{"metadata":{"trusted":false},"cell_type":"code","source":"def est_palindrome(chaine):\n    '''Renvoie un booléen indiquant si la chaine ch\n    est un palindrome'''\n    inverse = inverse_chaine(chaine)\n    return ...","execution_count":null,"outputs":[]},{"metadata":{"trusted":false},"cell_type":"code","source":"def est_nbre_palindrome(nbre):\n    '''Renvoie un booléen indiquant si le nombre nbre\n    est un palindrome'''\n    chaine = ...\n    return est_palindrome(chaine)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"26.1\"></a>\n\n!!! question Sujet 26 — Exercice 1\nÉcrire une fonction `ajoute_dictionnaires` qui prend en paramètres deux dictionnaires `d1` et `d2` dont les clés sont des nombres et renvoie le dictionnaire `d` défini de la façon suivante :\n\n- les clés de `d` sont celles de `d1` et celles de `d2` réunies\n- si une clé est présente dans les deux dictionnaires `d1` et `d2`, sa valeur associée dans le dictionnaire `d` est la somme de ses valeurs dans les dictionnaires `d1` et `d2`\n- si une clé n'est présente que dans un des deux dictionnaires, sa valeur associée dans le dictionnaire `d` est la même que sa valeur dans le dictionnaire où elle est présente.\n!!!\n\n??? example Exemples\n```python\n>>> ajoute_dictionnaires({1: 5, 2: 7}, {2: 9, 3: 11})\n{1: 5, 2: 16, 3: 11}\n>>> ajoute_dictionnaires({}, {2: 9, 3: 11})\n{2: 9, 3: 11}\n>>> ajoute_dictionnaires({1: 5, 2: 7}, {})\n{1: 5, 2: 7}\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"26.2\"></a>\n\n!!! question Sujet 26 — Exercice 2\n\nOn considère une piste carrée qui contient 4 cases par côté. Les cases sont numérotées de 0 inclus à 12 exclu comme ci-dessous :\n\n<img src=\"attachment:image_686c4de7\" style=\"width:200px; border-radius: 5px;\" />\n\nL'objectif de l'exercice est d'implémenter le jeu suivant :\n\nAu départ, le joueur place son pion sur la case 0. A chaque coup, il lance un dé équilibré à six faces et avance son pion d'autant de cases que le nombre indiqué par le dé (entre 1 et 6 inclus) dans le sens des aiguilles d'une montre.\n\nPar exemple, s'il obtient 2 au premier lancer, il pose son pion sur la case 2 puis s'il obtient 6 au deuxième lancer, il le pose sur la case 8, puis s'il obtient à nouveau 6, il pose le pion sur la case 2.\n\nLe jeu se termine lorsque le joueur a posé son pion sur **toutes les cases** de la piste.\n\nCompléter la fonction `nombre_coups` ci-dessous de sorte qu'elle renvoie le nombre de lancers aléatoires nécessaires pour terminer le jeu.\n!!!","attachments":{"image_686c4de7":{"image/png":"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"}}},{"metadata":{"trusted":false},"cell_type":"code","source":"from random import randint\n\ndef nombre_coups():\n    '''Simule un jeu de plateau avec 12 cases et renvoie le nombre\n    nécessaire de coups pour visiter toutes les cases.'''\n    nombre_cases = 12\n    # indique si une case a été vue\n    cases_vues = [ False ] * nombre_cases\n    nombre_cases_vues = 1\n    cases_vues[0] = True\n    case_en_cours = 0\n    n = ...\n    while ... < ...:\n        x = randint(1, 6)\n        case_en_cours = (case_en_cours + ...) % ...\n        if ...:\n            cases_vues[case_en_cours] = True\n            nombre_cases_vues = ...\n        n = ...\n    return n","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"27.1\"></a>\n\n!!! question Sujet 27 — Exercice 1\nÉcrire une fonction `verifie` qui prend en paramètre un tableau de valeurs numériques et qui renvoie `True` si ce tableau est trié dans l'ordre croissant, `False` sinon.\n\nUn tableau vide est considéré comme trié.\n!!!\n\n??? example Exemples\n```python\n>>> verifie([0, 5, 8, 8, 9])\nTrue\n>>> verifie([8, 12, 4])\nFalse\n>>> verifie([-1, 4])\nTrue\n>>> verifie([])\nTrue\n>>> verifie([5])\nTrue\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"27.2\"></a>\n\n!!! question Sujet 27 — Exercice 2\nOn considère dans cet exercice l’élection d’un vainqueur à l’issue d’un vote. Les résultats du vote sont stockés dans un tableau : chaque vote exprimé est le nom d’un ou d’une candidate.   Par exemple, les résultats pourraient correspondre au tableau :\n\n```python\nurne = ['A', 'A', 'A', 'B', 'C', 'B', 'C', 'B', 'C', 'B']\n```\n\nindiquant que 3 candidats ont obtenu au moins un vote chacun : A, B et C.\n\nOn cherche à déterminer le ou les candidats ayant obtenu le plus de suffrages. Pour cela, on propose d’écrire deux fonctions :\n\n* La fonction `depouille` doit permettre de compter le nombre de votes exprimés pour chaque artiste. Elle prend en paramètre un tableau et renvoie le résultat dans un dictionnaire dont les clés sont les noms des issues et les valeurs le nombre de votes en leur faveur.\n\n* La fonction `vainqueurs` doit désigner le nom du ou des gagnants. Elle prend en paramètre un dictionnaire **non vide** dont la structure est celle du dictionnaire renvoyé par la fonction depouille et renvoie un tableau. Ce tableau peut donc contenir plusieurs éléments s’il y a des artistes ex-aequo.\n\nCompléter les fonctions `depouille` et `vainqueurs` ci-après pour qu’elles renvoient les résultats attendus.\n!!!\n\n??? example Exemples\n```python\n>>> depouille([ 'A', 'B', 'A' ])\n{'A': 2, 'B': 1}\n>>> depouille([])\n{}\n>>> election = depouille(['A', 'A', 'A', 'B', 'C',\n'B', 'C', 'B', 'C', 'B'])\n>>> election\n{'A': 3, 'B': 4, 'C': 3}\n>>> vainqueurs(election)\n['B']\n>>> vainqueurs({ 'A' : 2, 'B' : 2, 'C' : 1})\n['A', 'B']\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def depouille(urne):\n    '''prend en paramètre une liste de suffrages et renvoie un \n    dictionnaire avec le nombre de voix pour chaque candidat'''\n    resultat = ... \n    for bulletin in urne:\n        if ...: \n            resultat[bulletin] = resultat[bulletin] + 1\n        else:\n            ...\n    return resultat\n\ndef vainqueurs(election):\n    '''prend en paramètre un dictionnaire non vide avec le nombre de voix\n    pour chaque candidat et renvoie la liste des vainqueurs'''\n    nmax = 0\n    for candidat in election:\n        if ... > ... : \n            nmax = ... \n    liste_finale = [ nom for nom in election if ... ] \n    return ...","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"28.1\"></a>\n\n!!! question Sujet 28 — Exercice 1\nÉcrire une fonction `a_doublon` qui prend en paramètre un tableau **trié** de nombres dans l'ordre croissant et renvoie `True` si ce tableau contient au moins deux nombres identiques, `False` sinon.\n!!!\n\n??? example Exemples\n```python\n>>> a_doublon([])\nFalse\n>>> a_doublon([1])\nFalse\n>>> a_doublon([1, 2, 4, 6, 6])\nTrue\n>>> a_doublon([2, 5, 7, 7, 7, 9])\nTrue\n>>> a_doublon([0, 2, 3])\nFalse\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"28.2\"></a>\n\n!!! question Sujet 28 — Exercice 2\n\nOn souhaite générer des grilles du jeu de démineur à partir de la position des bombes à placer. On se limite à la génération de grilles carrées de taille $n \\times n$ où $n$ est le nombre de bombes du jeu.\n\nDans le jeu du démineur, chaque case de la grille contient soit une bombe, soit une valeur qui correspond aux nombres de bombes situées dans le voisinage direct de la case (au-dessus, en dessous, à droite, à gauche ou en diagonale : chaque case a donc 8 voisins si elle n'est pas située au bord de la grille).\n\nUn exemple de grille 5 × 5 de démineur est représenté ci-dessous :\n\n<img src=\"attachment:image_9a0870e3\" style=\"width:200px; border-radius: 5px;\" />\n\nOn utilise une liste de listes pour représenter la grille et on choisit de coder une bombe par la valeur `-1`. L'exemple ci-dessus sera donc codé par la liste :\n\n```python\n[[1,  1, 1,  0,  0],\n [1, -1, 1,  1,  1],\n [2,  2, 3,  2, -1],\n [1, -1, 2, -1,  3],\n [1,  1, 2,  2, -1]]\n```\n\nCompléter le code situé à la page suivante afin de générer des grilles de démineur, on pourra vérifier que l'appel\n\n```python\ngenere_grille([(1, 1), (2, 4), (3, 1), (3, 3), (4, 4)])\n```\n\nrenvoie bien la liste donnée en exemple.\n!!!\n\n??? example Exemples\n\n???","attachments":{"image_9a0870e3":{"image/png":"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"}}},{"metadata":{"trusted":false},"cell_type":"code","source":"def voisinage(n, ligne, colonne):\n    \"\"\" Renvoie la liste des coordonnées des voisins de la case\n    (ligne, colonne) dans un grille de taille n x n,\n    en tenant compte des cases sur les bords. \"\"\"\n    voisins = []\n    for dl in range(-1, 2):\n        for dc in range(-1, 2):\n            l = ligne + dl\n            c = colonne + dc\n            if (l, c) != (ligne, colonne) and 0 <= l < n and 0 <= c < n:\n                voisins.append((l,c))\n    return voisins\n\n\ndef incremente_voisins(grille, ligne, colonne):\n    \"\"\" Incrémente de 1 toutes les cases voisines d'une bombe.\"\"\"\n    voisins = ...\n    for l, c in voisins:\n        if grille[l][c] != ...: # si ce n'est pas une bombe\n            ... # on ajoute 1 à sa valeur\n            \n            \ndef genere_grille(bombes):\n    \"\"\" Renvoie une grille de démineur de taille nxn où n est\n    le nombre de bombes, en plaçant les bombes à l'aide de\n    la liste bombes de coordonnées (tuples) passée en\n    paramètre. \"\"\"\n    n = len(bombes)\n    # Initialisation d'une grille nxn remplie de 0\n    grille = [[0 for colonne in range(n)] for ligne in range(n)]\n    # Place les bombes et calcule les valeurs des autres cases\n    for ligne, colonne in bombes:\n        grille[ligne][colonne] = ... # place la bombe\n        ... # incrémente ses voisins\n    return grille","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"29.1\"></a>\n\n!!! question Sujet 29 — Exercice 1\nOn considère des tables, c'est-à-dire des tableaux de dictionnaires ayant tous les mêmes clés, qui contiennent des enregistrements relatifs à des animaux hébergés dans un refuge.\n\nLes attributs des enregistrements sont `'nom'`, `'espece'`, `'age'`, `'enclos'`.\n\nVoici un exemple d'une telle table :\n\n```python\nanimaux = [ {'nom':'Medor', 'espece':'chien', 'age':5, 'enclos':2},\n            {'nom':'Titine', 'espece':'chat', 'age':2, 'enclos':5},\n            {'nom':'Tom', 'espece':'chat', 'age':7, 'enclos':4},\n            {'nom':'Belle', 'espece':'chien', 'age':6, 'enclos':3},\n            {'nom':'Mirza', 'espece':'chat', 'age':6, 'enclos':5}]\n```\n\nProgrammer une fonction `selection_enclos` qui :\n\n- prend en paramètres :\n  - une table `animaux` contenant des enregistrements relatifs à des animaux (comme dans l'exemple ci-dessus),\n  - un numéro d'enclos `num_enclos`\n- renvoie une table contenant les enregistrements de animaux dont l'attribut `'enclos'` est `num_enclos`.\n\nExemples avec la table `animaux` ci-dessus :\n\n```python\n>>> selection_enclos(animaux, 5)\n[{'nom':'Titine', 'espece':'chat', 'age':2, 'enclos':5},\n {'nom':'Mirza', 'espece':'chat', 'age':6, 'enclos':5}]\n>>> selection_enclos(animaux, 2)\n[{'nom':'Medor', 'espece':'chien', 'age':5, 'enclos':2}]\n>>> selection_enclos(animaux, 7)\n[]\n```\n!!!"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"29.2\"></a>\n\n!!! question Sujet 29 — Exercice 2\nOn considère des tableaux de nombres dont tous les éléments sont présents exactement trois fois à la suite, sauf un élément qui est présent une unique fois et que l'on appelle « l'intrus ». Voici quelques exemples :\n\n```python\ntab_a = [3, 3, 3, 9, 9, 9, 1, 1, 1, 7, 2, 2, 2, 4, 4, 4, 8, 8, 8]  # l'intrus est 7\ntab_b = [8, 5, 5, 5, 9, 9, 9, 18, 18, 18, 3, 3, 3]  # l'intrus est 8\ntab_c = [5, 5, 5, 1, 1, 1, 0, 0, 0, 6, 6, 6, 3, 8, 8, 8]  # l'intrus est 3\n```\n\nOn remarque qu'avec de tels tableaux :\n\n- pour les indices multiples de 3 situés strictement avant l'intrus, l'élément correspondant et son voisin de droite sont égaux,\n- pour les indices multiples de 3 situés après l'intrus, l'élément correspondant et son voisin de droite - s'il existe - sont différents.\n\nCe que l'on peut observer ci-dessous en observant les valeurs des paires de voisins marquées par des caractères `^` :\n\n```txt\n[3, 3, 3, 9, 9, 9, 1, 1, 1, 7, 2, 2, 2, 4, 4, 4, 8, 8, 8]\n ^  ^     ^  ^     ^  ^     ^  ^     ^  ^     ^  ^\n 0        3        6        9        12       15\n```\n\nDans des tableaux comme celles ci-dessus, un algorithme récursif pour trouver l'intrus consiste alors à choisir un indice `i` multiple de 3 situé approximativement au milieu des indices parmi lesquels se trouve l'intrus.\n\nPuis, en fonction des valeurs de l'élément d'indice `i` et de son voisin de droite, à appliquer récursivement l'algorithme à la moitié droite ou à la moitié gauche des indices parmi lesquels se trouve l'intrus.\n\nPar exemple, si on s'intéresse à l'indice 12, on voit les valeurs 2 et 4 qui sont différentes : l'intrus est donc à gauche de l'indice 12 (indice 12 compris).\n\nEn revanche, si on s'intéresse à l'indice 3, on voit les valeurs 9 et 9 qui sont identiques : l'intrus est donc à droite des indices 3-4-5, donc à partir de l'indice 6.\n\nCompléter la fonction récursive `trouver_intrus` proposée page suivante qui met en œuvre cet algorithme.\n!!!\n\n??? example Exemples\n```python\n>>> trouver_intrus([3, 3, 3, 9, 9, 9, 1, 1, 1, 7, 2, 2, 2, 4, 4, 4, 8, 8, 8], 0, 18)\n7\n>>> trouver_intrus([8, 5, 5, 5, 9, 9, 9, 18, 18, 18, 3, 3, 3], 0, 12)\n8\n>>> trouver_intrus([5, 5, 5, 1, 1, 1, 0, 0, 0, 6, 6, 6, 3, 8, 8, 8], 0, 15)\n3\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def trouver_intrus(tab, g, d):\n    \"\"\"Renvoie la valeur de l'intrus situé entre les indices g et d\n    dans le tableau tab où :\n    tab vérifie les conditions de l'exercice,\n    g et d sont des multiples de 3.\"\"\"\n    if g == d:\n        return ...\n    else:\n        nombre_de_triplets = (d - g) // ...\n        indice = g + 3 * (nombre_de_triplets // 2)\n        if ...:\n            return ...\n        else:\n            return ...","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"30.1\"></a>\n\n!!! question Sujet 30 — Exercice 1\nLe codage par différence (*delta encoding* en anglais) permet de compresser un tableau\nd’entiers dont les valeurs sont proches les unes des autres. Le principe est de stocker la\npremière donnée en indiquant pour chaque autre donnée sa différence avec la précédente\nplutôt que la donnée elle-même.\n\nOn se retrouve alors avec un tableau de données plus petit, nécessitant\nmoins de place en mémoire. Cette méthode se révèle efficace lorsque les valeurs consécutives\nsont proches.\n\nProgrammer la fonction `delta(liste)` qui prend en paramètre un tableau non vide de nombres entiers\net qui renvoie un tableau contenant les valeurs entières compressées à l’aide cette technique.\n!!!\n\n??? example Exemple\n```python\n>>> delta([1000, 800, 802, 1000, 1003])\n[1000, -200, 2, 198, 3]\n>>> delta([42])\n[42] \n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"30.2\"></a>\n\n!!! question Sujet 30 — Exercice 2\n<img src=\"attachment:image_653b4bc5\" width=\"300\" style=\"float: right; border-radius: 8px;\">\n\nUne expression arithmétique ne comportant que les quatre opérations +, −, ×, ÷ peut être\nreprésentée sous forme d’arbre binaire. Les nœuds internes sont des opérateurs et les feuilles\nsont des nombres. Dans un tel arbre, la disposition des nœuds joue le rôle des parenthèses que\nnous connaissons bien.  \n\nEn parcourant en profondeur infixe l’arbre binaire ci-contre, on\nretrouve l’expression notée habituellement :  \n\n\n$$((8 + 7) \\times 3) − (2 + 1)$$\n\n\nLa classe `Expr` ci-après permet d’implémenter une structure\nd’arbre binaire pour représenter de telles expressions.\n\nCompléter la méthode récursive `infixe` qui renvoie une chaîne de caractères contenant\ndes parenthèses représentant l’expression arithmétique sur laquelle on l’applique.\n!!!\n\n??? example Exemples\n```python\n>>> a = Expr(Expr(None, 1, None), '+', Expr(None, 2, None))\n>>> a.infixe()\n'(1+2)'\n>>> b = Expr(Expr(Expr(None, 1, None), '+', Expr(None, 2, None)),\n    '*', Expr(Expr(None, 3, None), '+', Expr(None, 4, None)))\n>>> b.infixe()\n'((1+2)*(3+4))'\n>>> e = Expr(\n    Expr(Expr(None, 3, None), '*', Expr(Expr(None, 8, None),\n         '+', Expr(None, 7, None))),\n    '-', Expr(Expr(None, 2, None), '+', Expr(None, 1, None)))\n>>> e.infixe()\n'((3*(8+7))-(2+1))'\n```\n???","attachments":{"image_653b4bc5":{"image/png":"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"}}},{"metadata":{"trusted":false},"cell_type":"code","source":"class Expr:\n    \"\"\" Classe implémentant un arbre d'expression. \"\"\"\n\n    def __init__(self, g, v, d):\n        \"\"\"\n        Un objet Expr possède 3 attributs :\n            - gauche : la sous-expression gauche\n            - valeur : la valeur de l'étiquette, opérande ou nombre\n            - droite : la sous-expression droite\n        \"\"\"\n        self.gauche = g\n        self.valeur = v\n        self.droite = d\n\n    def est_une_feuille(self):\n        \"\"\" Renvoie True si et seulementsi le noeud est une feuille. \"\"\"\n        return self.gauche is None and self.droite is None\n\n    def infixe(self):\n        \"\"\" Renvoie la représentation infixe de l'expression en chaine de caractères. \"\"\"\n        s = ... \n        if self.gauche is not None:\n            s = '(' + s + ... .infixe() \n        s = s + ... \n        if ... is not None: \n            s = s + ... + ... \n        return s","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"31.1\"></a>\n\n!!! question Sujet 31 — Exercice 1\nÉcrire une fonction `recherche_motif` qui prend en paramètre une chaîne de caractères\n`motif` non vide et une chaîne de caractères `texte` et qui renvoie la liste des positions de\n`motif` dans `texte`. Si `motif` n’apparaît pas, la fonction renvoie une liste vide.\n!!!\n\n??? example Exemples\n```python\n>>> recherche_motif(\"ab\", \"\")\n[]\n>>> recherche_motif(\"ab\", \"cdcdcdcd\")\n[]\n>>> recherche_motif(\"ab\", \"abracadabra\")\n[0, 7]\n>>> recherche_motif(\"ab\", \"abracadabraab\")\n[0, 7, 11]\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"31.2\"></a>\n\n!!! question Sujet 31 — Exercice 2\nDans cet exercice, on considère un graphe non orienté représenté sous forme de listes\nd’adjacence. On suppose que les sommets sont numérotés de 0 à $n$ - 1. Ainsi, le graphe suivant:\n\n<img src=\"attachment:image_631cfbf8\" style=\"width: 200px;\" />\n     \nsera représenté par la liste d’adjacence suivante :\n\n```python\nadj = [[1, 2], [0, 3], [0], [1], [5], [4]]\n```\n\nOn souhaite déterminer les sommets accessibles depuis un sommet donné dans le graphe.\nPour cela, on va procéder à un parcours en profondeur du graphe. Compléter la fonction suivante.\n!!!\n\n??? example Exemples\n```python\n>>> accessibles([[1, 2], [0], [0, 3], [1], [5], [4]], 0)\n[0, 1, 2, 3]\n>>> accessibles([[1, 2], [0], [0, 3], [1], [5], [4]], 4)\n[4, 5]\n```\n???","attachments":{"image_631cfbf8":{"image/png":"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"}}},{"metadata":{"trusted":false},"cell_type":"code","source":"def parcours(adj, x, acc):\n    '''Réalise un parcours en profondeur récursif\n    du graphe donné par les listes d'adjacence adj\n    depuis le sommet x en accumulant les sommets\n    rencontrés dans acc'''\n    if x ...:\n        acc.append(x)\n        for y in ...:\n            parcours(adj, ...)\n    \ndef accessibles(adj, x):\n    '''Renvoie la liste des sommets accessibles dans le\n    graphe donné par les listes d'adjacence adj depuis\n    le sommet x.'''\n    acc = []\n    parcours(adj, ...)\n    return acc","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"32.1\"></a>\n\n\n!!! question Sujet 32 — Exercice 1\nÉcrire une fonction `occurrences(caractere, chaine)` qui prend en paramètres `caractere`, une chaîne de caractère de longueur 1, et `chaine`, une chaîne de caractères.\n\nCette fonction renvoie le nombre d'occurrences de `caractere` dans `chaine`, c'est-à-dire le nombre de fois où `caractere` apparaît dans `chaine`.\n!!!\n\n??? example Exemples\n```python\n>>> occurrences('e', \"sciences\")\n2\n>>> occurrences('i',\"mississippi\")\n4\n>>> occurrences('a',\"mississippi\")\n0\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"32.2\"></a>\n\n!!! question Sujet 32 — Exercice 2\nOn s'intéresse à un algorithme récursif qui permet de rendre la monnaie à partir d'une liste donnée de valeurs de pièces et de billets.\n\nLe système monétaire est donné sous forme d'une liste `valeurs = [100, 50, 20, 10, 5, 2, 1]`. On suppose que les pièces et les billets sont disponibles sans limitation.\n\nOn cherche à donner la liste des valeurs à rendre pour une somme donnée en argument. L'algorithme utilisé est de type glouton.\n\nCompléter le code Python ci-dessous de la fonction `rendu_glouton` qui implémente cet algorithme et renvoie la liste des pièces à rendre.\n!!!\n\n??? example Exemples\n```python\n>>> rendu_glouton(67, 0)\n[50, 10, 5, 2]\n>>> rendu_glouton(291, 0)\n[100, 100, 50, 20, 20, 1]\n>>> rendu_glouton(291, 1) # si on ne dispose pas de billets de 100\n[50, 50, 50, 50, 50, 20, 20, 1]\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"valeurs = [100, 50, 20, 10, 5, 2, 1]\n\ndef rendu_glouton(a_rendre, rang):\n    if a_rendre == 0:\n        return ...\n    v = valeurs[rang]\n    if v <= ...:\n        return ... + rendu_glouton(a_rendre - v, rang)\n    else:\n        return rendu_glouton(a_rendre, ...)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"33.1\"></a>\n\n!!! question Sujet 33 — Exercice 1\nDans cet exercice, on considère des arbres binaires de recherche qui sont :\n\n- soit l’arbre vide identifié par `None` ;\n- soit un nœud, contenant une clé et deux sous-arbres gauche et droit et représenté\npar un triplet `(g, v, d)` où `g` et `d` sont les sous-arbres gauche et droit et `v` la clé.\n\nPar exemple, si on considère l'arbre `abr1` ci-contre :\n\n<img src=\"attachment:image_3ef8732f\" \n     style=\"width: 400px; border-radius: 5px;\" />\n\n\nAlors, l’arbre binaire de recherche `abr1` est créé par le code python ci-dessous :\n\n```python\nn0 = (None, 0, None)\nn3 = (None, 3, None)\nn2 = (None, 2, n3)\nabr1 = (n0, 1, n2)\n```\n\nÉcrire une fonction récursive `insertion_abr(a, cle)` qui prend en paramètres une clé `cle` et un arbre binaire de recherche `a`, et qui renvoie un arbre binaire de recherche dans lequel `cle` a été insérée.\n\nDans le cas où `cle` est déjà présente dans `a`, la fonction renvoie l’arbre `a` inchangé.\n!!!\n\n??? example Exemples\n```python\n>>> insertion_abr(abr1, 4)\n((None, 0, None), 1,(None, 2,(None, 3, (None,4,None))))\n>>> insertion_abr(abr1, -5)\n(((None, -5, None), 0, None),1,(None, 2, (None,3,None)))\n>>> insertion_abr(abr1, 2)\n((None, 0, None), 1, (None, 2, (None, 3, None)))\n```\n???","attachments":{"image_3ef8732f":{"image/png":"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"}}},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"33.2\"></a>\n\n!!! question Sujet 33 — Exercice 2\nOn dispose d’un ensemble d’objets dont on connaît, pour chacun, la masse. On\nsouhaite ranger l’ensemble de ces objets dans des boites identiques de telle\nmanière que la somme des masses des objets contenus dans une boîte ne dépasse\npas la capacité `c` de la boîte. On souhaite utiliser le moins de boîtes possibles pour\nranger cet ensemble d’objets.\n\n\nPour résoudre ce problème, on utilisera un algorithme glouton consistant à placer\nchacun des objets dans la première boîte où cela est possible.\n\nPar exemple, pour ranger dans des boîtes de capacité `c = 5` un ensemble de trois\nobjets dont les masses sont représentées en Python par la liste `[1, 5, 2]`, on\nprocède de la façon suivante :\n\n- Le premier objet, de masse 1, va dans une première boite.\n- Le deuxième objet, de masse 5, ne peut pas aller dans la même boite que le\npremier objet car cela dépasserait la capacité de la boite. On place donc cet\nobjet dans une deuxième boîte.\n- Le troisième objet, de masse 2, va dans la première boîte.\n\nOn a donc utilisé deux boîtes de capacité `c = 5` pour ranger les 3 objets.\n\nCompléter la fonction Python `empaqueter(liste_masses, c)` suivante pour\nqu’elle renvoie le nombre de boîtes de capacité `c` nécessaires pour empaqueter un\nensemble d’objets dont les masses sont contenues dans la liste `liste_masses`.\n!!!\n\n??? example Exemples\n```python\n>>> empaqueter([1, 2, 3, 4, 5], 10)\n2\n>>> empaqueter([1, 2, 3, 4, 5], 5)\n4\n>>> empaqueter([7, 6, 3, 4, 8, 5, 9, 2], 11)\n5\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def empaqueter(liste_masses, c):\n    \"\"\"Renvoie le nombre minimal de boîtes nécessaires pour\n    empaqueter les objets de la liste liste_masses, sachant\n    que chaque boîte peut contenir au maximum c kilogrammes\"\"\"\n    n = len(liste_masses)\n    nb_boites = 0\n    boites = [ 0 for _ in range(n) ]\n    for masse in ...: \n        i = 0\n        while i < nb_boites and boites[i] + ... > c: \n            i = i + 1\n        if i == nb_boites:\n            ...\n        boites[i] = ... \n    return ...","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"34.1\"></a>\n\n!!! question Sujet 34 — Exercice 1\nÉcrire une fonction `tri_selection` qui prend en paramètre un tableau `tab` de nombres entiers (type `list`) et qui le modifie afin qu'il soit trié par ordre croissant.\n\nOn utilisera l'algorithme suivant :\n\n- on recherche le plus petit élément du tableau, en le parcourant du rang 0 au dernier rang, et on l'échange avec l'élément d'indice 0\n- on recherche ensuite le plus petit élément du tableau restreint du rang 1 au dernier rang, et on l'échange avec l'élément d'indice 1\n- on continue de cette façon jusqu'à ce que le tableau soit entièrement triée.\n!!!\n\n??? example Exemples\n```python\n>>> tab = [1, 52, 6, -9, 12]\n>>> tri_selection(tab)\n>>> tab\n[-9, 1, 6, 12, 52]\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"34.2\"></a>\n\n!!! question Sujet 34 — Exercice 2\nLe jeu du « plus ou moins » consiste à deviner un nombre entier choisi entre 1 et 99.\n\nUne élève de NSI décide de le coder en langage Python de la manière suivante :\n\n- le programme génère un nombre entier aléatoire compris entre 1 et 99 ;\n- si la proposition de l’utilisatrice est plus petite que le nombre cherché, l’utilisatrice en\nest avertie. Elle peut alors en tester un autre ;\n- si la proposition de l’utilisatrice est plus grande que le nombre cherché, l’utilisatrice en\nest avertie. Elle peut alors en tester un autre ;\n- si l’utilisatrice trouve le bon nombre en 10 essais ou moins, elle gagne ;\n- si l’utilisatrice a fait plus de 10 essais sans trouver le bon nombre, elle perd.\n\nLa fonction `randint` est utilisée.  \nSi `a` et `b` sont des entiers tels que `a <= b`, `randint(a, b)` renvoie un\nnombre entier compris entre `a` et `b`.\n\n\nCompléter le code ci-dessous et le tester.\n!!!"},{"metadata":{"trusted":false},"cell_type":"code","source":"from random import randint\n\ndef plus_ou_moins():\n    nb_mystere = randint(1, ...)\n    nb_test = int(input(\"Proposez un nombre entre 1 et 99 : \"))\n    compteur = ...\n\n    while nb_mystere != ... and compteur < ... :\n        compteur = compteur + ...\n        if nb_mystere ... nb_test:\n            nb_test = int(input(\"Trop petit ! Testez encore : \"))\n        else:\n            nb_test = int(input(\"Trop grand ! Testez encore : \"))\n\n    if nb_mystere == nb_test:\n        print (\"Bravo ! Le nombre était \", ...)\n        print(\"Nombre d'essais: \", ...)\n    else:\n        print (\"Perdu ! Le nombre était \", ...)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"35.1\"></a>\n\n!!! question Sujet 35 — Exercice 1\nSur le réseau social TipTop, on s'intéresse au nombre de « like » des abonnés. Les données sont stockées dans des dictionnaires où les clés sont les pseudos et les valeurs correspondantes sont les nombres de « like » comme ci-dessous :\n\n```python\n{ 'Bob': 102, 'Ada': 201, 'Alice': 103, 'Tim': 50 }\n```\n\nÉcrire une fonction `max_dico` qui :\n\n- prend en paramètre un dictionnaire `dico` non vide dont les clés sont des chaînes de caractères et les valeurs associées sont des entiers\n- et qui renvoie un tuple dont :\n  - la première valeur est la clé du dictionnaire associée à la valeur maximale\n  - la seconde valeur est la première valeur maximale présente dans le dictionnaire.\n!!!\n\n??? example Exemples\n```python\n>>> max_dico({ 'Bob': 102, 'Ada': 201, 'Alice': 103, 'Tim': 50 })\n('Ada', 201)\n>>> max_dico({ 'Alan': 222, 'Ada': 201, 'Eve': 222, 'Tim': 50 })\n('Alan', 222)\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"35.2\"></a>\n\n!!! question Sujet 35 — Exercice 2\nNous avons l'habitude de noter les expressions arithmétiques avec des parenthèses comme par exemple : $(2 + 3) \\times 5$.\n\nIl existe une autre notation utilisée par certaines calculatrices, appelée notation postfixe, qui n'utilise pas de parenthèses. L'expression arithmétique précédente est alors obtenue en saisissant successivement 2, puis 3, puis l'opérateur $+$, puis 5, et enfin l'opérateur $\\times$ . On modélise cette saisie par le tableau :\n\n```python\n[2, 3, '+', 5, '*']\n```\n\nAutre exemple, la notation postfixe de $3 \\times 2 + 5$ est modélisée par le tableau :\n\n```python\n[3, 2, '*', 5, '+']\n```\n\nD'une manière plus générale, la valeur associée à une expression arithmétique en notation postfixe est déterminée à l'aide d'une pile en parcourant l'expression arithmétique de gauche à droite de la façon suivante :\n\n- si l'élément parcouru est un nombre, on le place au sommet de la pile\n- si l'élément parcouru est un opérateur, on récupère les deux éléments situés au sommet de la pile et on leur applique l'opérateur. On place alors le résultat au sommet de la pile.\n- à la fin du parcours, il reste alors un seul élément dans la pile qui est le résultat de l'expression arithmétique.\n\nDans le cadre de cet exercice, on se limitera aux opérations $\\times$ et $+$.\n\nPour cet exercice, on dispose d'une classe `Pile` qui implémente les méthodes de base sur la structure de pile.\n\nCompléter le script de la fonction `eval_expression` qui reçoit en paramètre une liste python représentant la notation postfixe d'une expression arithmétique et qui renvoie sa valeur associée.\n!!!\n\n??? example Exemples\n```python\n>>> eval_expression([2, 3, '+', 5, '*'])\n25\n>>> eval_expression([1, 2, '+', 3, '*'])\n9\n>>> eval_expression([1, 2, 3, '+', '*'])\n5\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"class Pile:\n    \"\"\"Classe définissant une structure de pile.\"\"\"\n    def __init__(self):\n        self.contenu = []\n        \n    def est_vide(self):\n        \"\"\"Renvoie un booléen indiquant si la pile est vide.\"\"\"\n        return self.contenu == []\n    \n    def empiler(self, v):\n        \"\"\"Place l'élément v au sommet de la pile\"\"\"\n        self.contenu.append(v)\n        \n    def depiler(self):\n        \"\"\"\n        Retire et renvoie l'élément placé au sommet de la pile,\n        si la pile n'est pas vide. Produit une erreur sinon.\n        \"\"\"\n        assert not self.est_vide()\n        return self.contenu.pop()","execution_count":null,"outputs":[]},{"metadata":{"trusted":false},"cell_type":"code","source":"def eval_expression(tab):\n    p = Pile()\n    for ... in tab:\n        if element != '+' ... element != '*':\n            p.empiler(...)\n        else:\n            if element == ...:\n                 resultat = ... + ...\n            else:\n                 resultat = ...\n            p.empiler(...)\n    return ...","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"36.1\"></a>\n\n!!! question Sujet 36 — Exercice 1\nDans cet exercice, on considère des phrases composées de mots.\n\n- On appelle « mot » une chaîne de caractères composée avec des caractères choisis\nparmi les 26 lettres minuscules ou majuscules de l'alphabet,\n\n- On appelle *phrase* une chaîne de caractères :\n    - composée avec un ou plusieurs *mots* séparés entre eux par un seul\ncaractère espace `' '`,\n    - se finissant :\n        - soit par un point `'.'` qui est alors collé au dernier mot,\n        - soit par un point d'exclamation `'!'` ou d'interrogation `'?'` qui est alors séparé du dernier mot par un 1 caractère espace `' '`.\n\nVoici deux exemples de phrases :\n\n- `'Cet exercice est simple.'`\n- `'Le point d exclamation est separe !'`\n\nAprès avoir remarqué le lien entre le nombre de mots et le nombres de caractères espace\ndans une phrase, programmer une fonction `nombre_de_mots` qui prend en paramètre une\nphrase et renvoie le nombre de mots présents dans cette phrase.\n!!!\n\n??? example Exemples\n```python\n>>> nombre_de_mots('Cet exercice est simple.')\n4\n>>> nombre_de_mots('Le point d exclamation est séparé !')\n6\n>>> nombre_de_mots('Combien de mots y a t il dans cette phrase ?')\n10\n>>> nombre_de_mots('Fin.')\n1\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"36.2\"></a>\n\n!!! question Sujet 36 — Exercice 2\nUn arbre binaire de recherche est soit vide, représenté en Python par la valeur `None`, soit\nun nœud, contenant une étiquette et deux sous-arbres gauche et droit et représenté par\nune instance de la classe Noeud donnée ci-dessous.\n\nOn considère ici que les étiquettes des nœuds sont des entiers et que les arbres binaires de\nrecherche considérés ne contiennent pas de doublons.\n\nCompléter la méthode récursive `inserer` afin qu’elle permette d’insérer une clé dans l’arbre binaire de recherche non vide sur lequel on l’appelle.\n!!!\n\n??? example Exemple\n```python\n>>> arbre = Noeud(7)\n>>> for cle in (3, 9, 1, 6):\n        arbre.inserer(cle)\n>>> arbre.gauche.etiquette\n3\n>>> arbre.droit.etiquette\n9\n>>> arbre.gauche.gauche.etiquette\n1\n>>> arbre.gauche.droit.etiquette\n6\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"class Noeud:\n    def __init__(self, etiquette):\n        \"\"\" Méthode constructeur pour la classe Noeud. Crée une feuille d'étiquette donnée. \"\"\"\n        self.etiquette = etiquette\n        self.gauche = None\n        self.droit = None\n\n    def inserer(self, cle):\n        \"\"\" Insère la clé dans l'arbre binaire de recherche en préservant sa structure. \"\"\"\n        if cle < self.etiquette:\n            if self.gauche != None:\n                ...\n            else:\n                self.gauche = ... \n        else:\n            ...\n                ...\n            else:\n                ... = Noeud(cle)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"37.1\"></a>\n\n!!! question Sujet 37 — Exercice 1\nOn considère dans cet exercice une représentation binaire d’un entier non signé en tant que\ntableau de booléens.\nSi\n\n```python\ntab = [True, False, True, False, False, True, True]\n```\n\nest un tel tableau, alors l’entier qu’il représente est $2^6 +2^4 + 2^1 + 2^0 = 83$. Cette représentation consistant à placer en premier le booléen indiquant la puissance la plus élevée de 2\nest dite *big-endian* ou grand-boutiste.\n\nÉcrire une fonction `gb_vers_entier` qui prend en paramètre un tel tableau et renvoie\nl’entier qu’il représente.\n!!!\n\n??? example Exemples\n```python\n>>> gb_vers_entier([])\n0\n>>> gb_vers_entier([True])\n1\n>>> gb_vers_entier([True, False, True, False, False, True, True])\n83\n>>> gb_vers_entier([True, False, False, False, False, False, True, False])\n130\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"37.2\"></a>\n\n!!! question Sujet 37 — Exercice 2\nLa fonction `tri_insertion` suivante prend en argument un tableau `tab` et trie ce tableau en\nutilisant la méthode du tri par insertion. Compléter cette fonction pour qu'elle réponde à la\nspécification demandée.\n\nOn rappelle le principe du tri par insertion : on considère les éléments à trier un par un,\nle premier élément constituant, à lui tout seul, un tableau trié de longueur 1. On range\nensuite le second élément pour constituer un tableau trié de longueur 2, puis on range le\ntroisième élément pour avoir un tableau trié de longueur 3 et ainsi de suite...\n\nA chaque étape, le premier élément du sous-tableau non trié est placé dans le sous-tableau\ndes éléments déjà triés de sorte que ce sous-tableau demeure trié.\n\nLe principe du tri par insertion est donc d'insérer à la n-ième itération, le n-ième élément\nà la bonne place.\n!!!\n\n??? example Exemple\n```python\n>>> tab = [98, 12, 104, 23, 131, 9]\n>>> tri_insertion(tab)\n>>> tab\n[9, 12, 23, 98, 104, 131]\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def tri_insertion(tab):\n    \"\"\" Trie le tableau tab par ordre croissant en appliquant l'algorithme de tri par insertion \"\"\"\n    n = len(tab)\n    for i in range(1, n):\n        valeur_insertion = ... \n        # la variable j sert à déterminer où placer la valeur à ranger\n        j = ... \n        # tant qu'on n'a pas trouvé la place de l'élément à insérer on décale les valeurs du tableau vers la droite\n        while j > ... and valeur_insertion < tab[...]: \n            tab[j] = tab[j-1]\n            j = ...\n        tab[j] = ...","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"38.1\"></a>\n\n!!! question Sujet 38 — Exercice 1\nÉcrire une fonction `moyenne` qui prend en paramètre un tableau non vide de nombres\nflottants et qui renvoie la moyenne des valeurs du tableau. Les tableaux seront\nreprésentés sous forme de liste Python.\n!!!\n\n??? example Exemples\n```python\n>>> moyenne([1.0])\n1.0\n>>> moyenne([1.0, 2.0, 4.0])\n2.3333333333333335\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"38.2\"></a>\n\n!!! question Sujet 38 — Exercice 2\nOn considère la fonction `binaire`.\nCette fonction prend en paramètre un entier positif `a` en\nécriture décimale et renvoie son écriture binaire sous la forme d’une chaine de caractères.\n\nL’algorithme utilise la méthode des divisions euclidiennes successives comme l’illustre\nl’exemple ci-après.\n\n<img src=\"attachment:image_209c1871\" style=\"width: 400px; border-radius: 5px;\" />\n\nCompléter le code de la fonction `binaire`.\n!!!\n\n??? example Exemples\n```python\n>>> binaire(83)\n'1010011'\n>>> binaire(127)\n'1111111'\n>>> binaire(0)\n'0'\n```\n???","attachments":{"image_209c1871":{"image/png":"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"}}},{"metadata":{"trusted":false},"cell_type":"code","source":"def binaire(a):\n    '''convertit un nombre entier a en sa representation\n    binaire sous forme de chaine de caractères.'''\n    if a == 0:\n        return ...\n    bin_a = ...\n    while ... :\n        bin_a = ... + bin_a\n        a = ...\n    return bin_a","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"39.1\"></a>\n\n!!! question Sujet 39 — Exercice 1\nProgrammer la fonction moyenne prenant en paramètre un tableau d'entiers `tab` (de type `list`) qui renvoie la moyenne de ses éléments si le tableau est non vide. Proposer une façon de traiter le cas où le tableau passé en paramètre est vide.\n\nDans cet exercice, on s'interdira d'utiliser la fonction Python `sum`.\n!!!\n\n??? example Exemples\n```python\n>>> moyenne([5,3,8])\n5.333333333333333\n>>> moyenne([1,2,3,4,5,6,7,8,9,10])\n5.5\n>>> moyenne([])\n# Comportement différent suivant le traitement proposé.\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"39.2\"></a>\n\n!!! question Sujet 39 — Exercice 2\nOn considère un tableau d'entiers `tab` (de type `list`) dont les éléments sont des 0 ou des 1). On se propose de trier ce tableau selon l'algorithme suivant : à chaque étape du tri, le tableau est constitué de trois zones consécutives, la première ne contenant que des 0, la seconde n'étant pas triée et la dernière ne contenant que des 1. Au départ, les zones ne contenant que des 0 et des 1 sont vides.\n\n```python\n[0, ..., 0, <zone non triée>, 1, ..., 1]\n```\n\nTant que la zone non triée n'est pas réduite à un seul élément, on regarde son premier élément :\n\n- si cet élément vaut 0, on considère qu'il appartient désormais à la zone ne contenant que des 0\n- si cet élément vaut 1, il est échangé avec le dernier élément de la zone non triée et on considère alors qu'il appartient à la zone ne contenant que des 1.\n\nDans tous les cas, la longueur de la zone non triée diminue de 1.\n\nCompléter la fonction `tri` suivante.\n!!!\n\n??? example Exemples\n```python\n>>> tab = [0, 1, 0, 1, 0, 1, 0, 1, 0]\n>>> tri(tab)\n>>> tab\n0, 0, 0, 0, 0, 1, 1, 1, 1]\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def tri(tab):\n    '''tab est un tableau d'entiers contenant des 0 et des 1.\n    La fonction trie ce tableau en plaçant tous les 0 à gauche'''\n    i = ... # premier indice de la zone non triée\n    j = ... # dernier indice de la zone non triée\n    while i < j:\n        if tab[i] == 0:\n            i = ...\n        else:\n            valeur = ...\n            tab[j] = ...\n            ...\n            j = ...","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"40.1\"></a>\n\n!!! question Sujet 40 — Exercice 1\nÉcrire une fonction `recherche_indices_classement` qui prend en paramètres un entier `elt` et un tableau d'entiers `tab` représenté par une liste Python, et qui renvoie trois listes Python d'entiers:\n\n- la première liste contient les indices des valeurs du tableau `tab` strictement inférieures à `elt`\n- la deuxième liste contient les indices des valeurs du tableau `tab` égales à `elt`\n- la troisième liste contient les indices des valeurs du tableau `tab` strictement supérieures à `elt`.\n!!!\n\n??? example Exemples\n```python\n>>> recherche_indices_classement(3, [1, 3, 4, 2, 4, 6, 3, 0])\n([0, 3, 7], [1, 6], [2, 4, 5])\n>>> recherche_indices_classement(3, [1, 4, 2, 4, 6, 0])\n([0, 2, 5], [], [1, 3, 4])\n>>>recherche_indices_classement(3, [1, 1, 1, 1])\n([0, 1, 2, 3], [], [])\n>>> recherche_indices_classement(3, [])\n([], [], [])\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"40.2\"></a>\n\n!!! question Sujet 40 — Exercice 2\nUne professeure de NSI décide de gérer les résultats de sa classe sous la forme d'un dictionnaire :\n\n- les clefs sont les noms des élèves\n- les valeurs sont des dictionnaires dont les clefs sont les types d'épreuves sous forme de chaîne de caractères et les valeurs sont les notes obtenues associées à leurs coefficients dans une liste.\n\nAvec :\n\n```python\nresultats = {\n    'Dupont': {\n         'DS1': [15.5, 4],\n         'DM1': [14.5, 1],\n         'DS2': [13, 4],\n         'PROJET1': [16, 3],\n         'DS3': [14, 4]\n    },\n    'Durand': {\n         'DS1': [6 , 4],\n         'DS2': [8, 4],\n         'PROJET1': [9, 3],\n         'IE1': [7, 2],\n         'DS3': [12, 4]\n    }\n}\n```\n\nL'élève dont le nom est Durand a ainsi obtenu au DS2 la note de 8 avec un coefficient 4.\n\nLa professeure crée une fonction `moyenne` qui prend en paramètre le nom d'un de ses élèves et renvoie sa moyenne arrondie au dixième. Si l'élève n'a pas de notes, on considère que sa moyenne est nulle. Si le nom donné n'est pas dans les résultats, la fonction renvoie `None`.\n\nCompléter le code de la professeure ci-dessous.\n!!!\n\n??? example Exemples\n```python\n>>> moyenne(\"Dupont\", resultats)\n14.5\n>>> moyenne(\"Durand\", resultats)\n8.5\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"resultats = {\n    'Dupont': {\n         'DS1': [15.5, 4],\n         'DM1': [14.5, 1],\n         'DS2': [13, 4],\n         'PROJET1': [16, 3],\n         'DS3': [14, 4]\n    },\n    'Durand': {\n         'DS1': [6 , 4],\n         'DS2': [8, 4],\n         'PROJET1': [9, 3],\n         'IE1': [7, 2],\n         'DS3': [12, 4]\n    }\n}\n\n\ndef moyenne(nom, resultats):\n    '''Renvoie la moyenne de l'élève nom, selon le dictionnaire\n    resultats. Si nom n'est pas dans le dictionnaire,\n    la fonction renvoie None.'''\n    if nom in ...:\n        notes = resultats[nom]\n        if ...: # pas de notes\n            return 0\n        total_points = ...\n        total_coefficients = ...\n        for ... in notes.values():\n            note, coefficient = valeurs\n            total_points = total_points + ... * coefficient\n            ... = ... + coefficient\n        return round( ... / total_coefficients, 1 )\n    else:\n        return None","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"41.1\"></a>\n\n!!! question Sujet 41 — Exercice 1\nL'opérateur « ou exclusif » entre deux bits renvoie 0 si les deux bits sont égaux et 1 s'ils sont différents. Il est symbolisé par le caractère $\\oplus$. Ainsi :\n\n$$\n\\begin{aligned}\n0 \\oplus 0 = 0 \\\\\n0 \\oplus 1 = 1 \\\\\n1 \\oplus 0 = 1 \\\\\n1 \\oplus 1 = 0 \\\\\n\\end{aligned}\n$$\n\nÉcrire une fonction `ou_exclusif` qui prend en paramètres deux tableaux de 0 ou de 1 de même longueur et qui renvoie un tableau où l’élément situé à position `i` est le résultat, par l’opérateur « ou exclusif », des éléments à la position `i` des tableaux passés en paramètres.\n!!!\n\n??? example Exemples\n```python\n>>> ou_exclusif([1, 0, 1, 0, 1, 1, 0, 1], [0, 1, 1, 1, 0, 1, 0, 0])\n[1, 1, 0, 1, 1, 0, 0, 1]\n>>> ou_exclusif([1, 1, 0, 1], [0, 0, 1, 1])\n[1, 1, 1, 0]\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"41.2\"></a>\n\n!!! question Sujet 41 — Exercice 2\nDans cet exercice, on appelle carré d’ordre $n$ un tableau de $n$ lignes et $n$ colonnes dont chaque case contient un entier naturel.\n\nExemples :\n\n<img src=\"attachment:image_ae65074b\" style=\"width:500px; border-radius: 5px;\" />\n\nUn carré est dit **semimagique** lorsque les sommes des éléments situés sur chaque ligne, chaque colonne sont égales.\n\n- Ainsi `c2` et `c3` sont semimagiques car la somme de chaque ligne, chaque colonne et chaque diagonale est égale à 8 pour `c2` et 12 pour `c3`.\n\n- Le carre `c3bis` n'est pas semimagique car la somme de la première ligne est égale à 15 alors que celle de la deuxième ligne est égale à 10.\n\nLa classe `Carre` ci-après contient des méthodes qui permettent de manipuler des carrés.\n\n- La méthode constructeur crée un carré sous forme d’un tableau à deux dimensions à partir d’une liste d’entiers, et d’un ordre.\n\n- La méthode `affiche` permet d’afficher le carré créé.\n\nPar exemple :\n\n```python\n>>> lst_c3 = [3, 4, 5, 4, 4, 4, 5, 4, 3]\n>>> c3 = Carre(lst_c3, 3)\n>>> c3.affiche()\n[3, 4, 5]\n[4, 4, 4]\n[5, 4, 3]\n```\n\nCompléter la méthode `est_semimagique` qui renvoie `True` si le carré est semimagique, `False` sinon. \n!!!","attachments":{"image_ae65074b":{"image/png":"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"}}},{"metadata":{"trusted":false},"cell_type":"code","source":"class Carre:\n    def __init__(self, liste, n):\n        self.ordre = n\n        self.tableau = [[liste[i + j * n] for i in range(n)] for j in range(n)]\n\n    def affiche(self):\n        '''Affiche un carré'''\n        for i in range(self.ordre):\n            print(self.tableau[i])\n\n    def somme_ligne(self, i):\n        '''Calcule la somme des valeurs de la ligne i'''\n        somme = 0\n        for j in range(self.ordre):\n            somme = somme + self.tableau[i][j]\n        return somme\n\n    def somme_col(self, j):\n        '''Calcule la somme des valeurs de la colonne j'''\n        somme = 0\n        for i in range(self.ordre):\n            somme = somme + self.tableau[i][j]\n        return somme\n\n    def est_semimagique(self):\n        s = self.somme_ligne(0)\n\n        #test de la somme de chaque ligne\n        for i in range(...):\n            if ... != s:\n                return ...\n\n        #test de la somme de chaque colonne\n        for j in range(...):\n            if ... != s:\n                return ...\n\n        return ...","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"42.1\"></a>\n\n!!! question Sujet 42 — Exercice 1\nÉcrire une fonction Python appelée `nb_repetitions` qui prend en paramètres un\nélément `elt` et un tableau `tab` (type `list`) et renvoie le nombre de fois où l’élément apparaît dans le tableau.\n!!!\n\n??? example Exemples\n```python\n>>> nb_repetitions(5, [2, 5, 3, 5, 6, 9, 5])\n3\n>>> nb_repetitions('A', ['B', 'A', 'B', 'A', 'R'])\n2\n>>> nb_repetitions(12, [1, 3, 7, 21, 36, 44])\n0\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"42.2\"></a>\n\n!!! question Sujet 42 — Exercice 2\nPour rappel, la conversion d'un nombre entier positif en binaire peut s'effectuer à l'aide des divisions successives comme illustré ici :\n\n<img src=\"attachment:image_1deb7a39\" style=\"width: 400px; border-radius: 5px;\" />\n\nCompléter la fonction `binaire`basée sur la méthode des divisions successives permettant de convertir un nombre entier positif en binaire.\n!!!\n\n??? example Exemples\n```python\n>>> binaire(0)\n'0'\n>>> binaire(77)\n'1001101'\n```\n???","attachments":{"image_1deb7a39":{"image/png":"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ZlLJoJTZi4CASS+MXkIghICASYgxaoIAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGBIAdtMhtR21zoFBEzWqe9uAmUJCJiUNQ/VECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIVCRgm0lFw1LqUgICJkuxOUQgpICAScixaooAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGAogeOX5+noxUk6PbvodOVkPEqHB7M039vudM7DBIYUEDAZUttdBMoWEDApez6qI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQqERg2W0mD2ab6cmjnbQ13aikU2W2JCBg0tK09UrgbgEBk7t9/JYAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAwgK2mSxM5cFKBARMKhmUMgkMICBgMgCyKwgQIECAAAECBAgQIECAAAECBAgQIECAAAECBNoSsM2krXlH7lbAJPJ09Uagm4CASTcvTxMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBYSMA2k4WYPFS4gIBJ4QNSHoEBBQRMBsR2FQECBAgQIECAAAECBAgQIECAAAECBAgQIECAQHsCtpm0N/NIHQuYRJqmXgjkCQiY5Pk5TYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQOCDAraZfJDIA4UKCJgUOhhlEViDgIDJGtBdSYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0KbAsttM9nc30+P5LG1N77cJp+u1CQiYrI3exQSKExAwKW4kCiJAgAABAgQIECBAgAABAgQIECBAgAABAgQIEIgscPzqPB09P0mnZxed2pyMR+npwSx9b2+70zkPE8gREDDJ0XOWQCwBAZNY89QNAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAJQK2mVQyqMbLFDBp/AugfQLXBARMrmH4kQABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMCQAjnbTA4vt5nMbTMZclxN3iVg0uTYNU3gRgEBkxtZfEiAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgOIG8bSY7aWu6MVyxbmpKQMCkqXFrlsCdAgImd/L4JQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFhBI5fnqejFyfp9Oyi04WT8SjZZtKJzMMdBARMOmB5lEBwAQGT4APWHgECBAgQIECAQBeB15cPj7sc8CwBAgQIECBAgAABAgQIECBAoHeBZbeZPJhtpiePbDPpfSCNv1DApPEvgPYJXBMQMLmG4UcCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECJQjYZlLCFNTwVkDAxPeAAIErAQGTKwl/EiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEChMwDaTwgbSYDkCJg0OXcsEbhEQMLkFxscECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEShCwzaSEKbRbg4BJu7PXOYGvCgiYfFXEvxMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAoUMA2kwKH0kBJAiYNDFmLBBYUEDBZEMpjBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBNYtYJvJuifQ3v0CJu3NXMcEbhMQMLlNxucECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEChVYdpvJ/u5mejzfSVvTjUI7U1ZpAgImpU1EPQTWJyBgsj57NxMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBYWuD41Xn67fOT9I+zi07vmIxH6fBgluZ7253OebhNAQGTNueuawI3CQiY3KTiMwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKVCNhmUsmgKi1TwKTSwSmbwAoEBExWgOqVBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBIYUeLvN5Ohym8mpbSZDsjdxl4BJE2PWJIGFBARMFmLyEAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHyBfK2mczS1vR++U2qcFABAZNBuV1GoGgBAZOix6M4AgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAt0EbDPp5uXpuwUETO728VsCLQkImLQ0bb0SIECAAAECBAgQIECAAAECBAgQIECAAAECBAg0I2CbSTOjXmmjAiYr5fVyAlUJCJhUNS7FEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEFhc4PjleTp6cZJOzy4WP3T55GQ8SocHszTf2+50zsPxBARM4s1URwSWFRAwWVbOOQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKVCORtM9lJW9ONSjpVZt8CAiZ9i3ofgXoFBEzqnZ3KCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECCwsYJvJwlQevCYgYHINw48EGhcQMGn8C6B9AgQIECBAgAABAgQIECBAgAABAgQIECBAgACBtgSW3WbyYLaZnjyyzaStb0tKAiatTVy/BG4XEDC53cZvCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECIQUsM0k5FhX0pSAyUpYvZRAlQICJlWOTdEECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE8gWW3Wayv7uZHs9naWt6P78IbyhaQMCk6PEojsCgAgImg3K7jAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEBZAraZlDWP0qoRMCltIuohsD4BAZP12buZAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQDECedtMdi63mWwU04tC+hMQMOnP0psI1C4gYFL7BNVPgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoCcB20x6ggz0GgGTQMPUCoFMAQGTTEDHCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECEQTWHabyYPZZvrih5+lj++No5E024+ASbOj1ziB9wQETN4j8QEBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAstuM/nZjz9P3519CjCIgIBJkEFqg0APAgImPSB6BQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGoAl22mTz87NP00x98HpWiyb4ETJocu6YJ3CggYHIjiw8JECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIELgSWGSbydfuT9IvvniY7n88uTrmzwACAiYBhqgFAj0J3OvpPV5DgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEBQgd1vTtOXT/fTXdtMfvL97wiXBJz/s2fPAnalJQIElhGwwWQZNWcIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQINCpw0zYTfzVOo18GbRMg0JSAgElT49YsAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgX4ErraZvP2rcX5++VfjbPircfqB9RYCBAgUKiBgUuhglEWAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgdIG320y+/slHaWu6UXqp6iNAgACBTAEBk0xAxwkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC0QXG0RvUHwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJ6AgEmen9MECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgfACAibhR6xBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECegIBJnp/TBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHwAgIm4UesQQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAnoCASZ6f0wQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB8AICJuFHrEECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJ6AgEmen9MECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgfACAibhR6xBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECegIBJnp/TBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHwAgIm4UesQQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAnoCASZ6f0wQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB8AICJuFHrEECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJ6AgEmen9MECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgfACAibhR6xBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECegIBJnp/TBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHwAgIm4UesQQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAnoCASZ6f0wQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB8AICJuFHrEECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJ6AgEmen9MECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgfACAibhR6xBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECegIBJnp/TBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHwAgIm4UesQQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAnoCASZ6f0wQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB8AICJuFHrEECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJ6AgEmen9MECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgfACAibhR6xBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECegIBJnp/TBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHwAgIm4UesQQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAnoCASZ6f0wQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB8AICJuFHrEECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJ6AgEmen9MECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgfACAibhR6xBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECegIBJnp/TBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHwAgIm4UesQQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAnoCASZ6f0wQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB8AICJuFHrEECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJ6AgEmen9MECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgfACAibhR6xBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECegIBJnp/TBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHwAgIm4UesQQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAnoCASZ6f0wQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB8AICJuFHrEECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJ6AgEmen9MECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgfACAibhR6xBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECegIBJnp/TBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHwAgIm4UesQQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAnsD/AA4R90lyEYO7AAAAAElFTkSuQmCC"}}},{"metadata":{"trusted":false},"cell_type":"code","source":"def binaire(a):\n    '''convertit un nombre entier a en sa representation\n    binaire sous forme de chaine de caractères.'''\n    if a == 0:\n        return '0'\n    bin_a = ...\n    while ...:\n        bin_a = ... + bin_a\n        a = ...\n    return bin_a","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"43.1\"></a>\n\n!!! question Sujet 43 — Exercice 1\nÉcrire une fonction `couples_consecutifs` qui prend en paramètre un tableau de\nnombres entiers `tab` non vide (type `list`), et qui renvoie la liste Python (éventuellement vide) des couples d'entiers consécutifs successifs qu'il peut y avoir dans `tab`.\n!!!\n\n??? example Exemples\n```python\n>>> couples_consecutifs([1, 4, 3, 5])\n[]\n>>> couples_consecutifs([1, 4, 5, 3])\n[(4, 5)]\n>>> couples_consecutifs([1, 1, 2, 4])\n[(1, 2)]\n>>> couples_consecutifs([7, 1, 2, 5, 3, 4])\n[(1, 2), (3, 4)]\n>>> couples_consecutifs([5, 1, 2, 3, 8, -5, -4, 7])\n[(1, 2), (2, 3), (-5, -4)]\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"43.2\"></a>\n\n!!! question Sujet 43 — Exercice 2\nSoit une image binaire représentée dans un tableau à 2 dimensions. Les éléments\n`M[i][j]`, appelés pixels, sont égaux soit à `0` soit à `1`.\n\nUne **composante** d’une image est un sous-ensemble de l’image constitué uniquement de `1` et de `0` qui sont côte à côte, soit horizontalement soit verticalement. Par exemple, les composantes de :\n\n<img src=\"attachment:image_092cca08\" style=\"width: 200px; border-radius: 5px;\" />\n\nsont :\n\n<img src=\"attachment:image_210efa84\" style=\"width: 200px; border-radius: 5px;\" />\n\nOn souhaite, à partir d’un pixel égal à `1` dans une image `M`, donner la valeur `val` à tous\nles pixels de la composante à laquelle appartient ce pixel.\n\nLa fonction `colore_comp1` prend pour paramètre une image `M` (représentée par une liste de\nlistes), deux entiers `i` et `j` et une valeur entière `val`. Elle met à la valeur `val` tous les pixels de la composante du pixel\n`M[i][j]` s’il vaut `1` et ne fait rien sinon.\n\nPar exemple, `colore_comp1(M, 2, 1, 3)` donne :\n\n<img src=\"attachment:image_a16778ab\" style=\"width: 200px; border-radius: 5px;\" />\n\nCompléter le code récursif de la fonction `colore_comp1` donné ci-dessous.\n!!!\n\n??? example Exemples\n```python\n>>> M = [[0, 0, 1, 0], [0, 1, 0, 1], [1, 1, 1, 0], [0, 1, 1, 0]]\n>>> colore_comp1(M, 2, 1, 3)\n>>> M\n[[0, 0, 1, 0], [0, 3, 0, 1], [3, 3, 3, 0], [0, 3, 3, 0]]\n```\n???","attachments":{"image_092cca08":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA8QAAALUCAYAAADNDfvYAAAhvnRFWHRteGZpbGUAJTNDbXhmaWxlJTIwaG9zdCUzRCUyMmFwcC5kaWFncmFtcy5uZXQlMjIlMjBhZ2VudCUzRCUyMk1vemlsbGElMkY1LjAlMjAoTWFjaW50b3NoJTNCJTIwSW50ZWwlMjBNYWMlMjBPUyUyMFglMjAxMC4xNSUzQiUyMHJ2JTNBMTM2LjApJTIwR2Vja28lMkYyMDEwMDEwMSUyMEZpcmVmb3glMkYxMzYuMCUyMiUyMHZlcnNpb24lM0QlMjIyNi4xLjMlMjIlMjBzY2FsZSUzRCUyMjQlMjIlMjBib3JkZXIlM0QlMjIxMCUyMiUzRSUwQSUyMCUyMCUzQ2RpYWdyYW0lMjBuYW1lJTNEJTIyUGFnZS0xJTIyJTIwaWQlM0QlMjJyeERXejU5Z0t4dFZobmdQQ0JONCUyMiUzRSUwQSUyMCUyMCUyMCUyMCUzQ214R3JhcGhNb2RlbCUyMGR4JTNEJTIyODQ4JTIyJTIwZHklM0QlMjI1NDYlMjIlMjBncmlkJTNEJTIyMSUyMiUyMGdyaWRTaXplJTNEJTIyMTAlMjIlMjBndWlkZXMlM0QlMjIxJTIyJTIwdG9vbHRpcHMlM0QlMjIxJTIyJTIwY29ubmVjdCUzRCUyMjElMjIlMjBhcnJvd3MlM0QlMjIxJTIyJTIwZm9sZCUzRCUyMjElMjIlMjBwYWdlJTNEJTIyMCUyMiUyMHBhZ2VTY2FsZSUzRCUyMjElMjIlMjBwYWdlV2lkdGglM0QlMjI4MjclMjIlMjBwYWdlSGVpZ2h0JTNEJTIyMTE2OSUyMiUyMG1hdGglM0QlMjIxJTIyJTIwc2hhZG93JTNEJTIyMCUyMiUzRSUwQSUyMCUyMCUyMCUyMCUyMCUyMCUzQ3Jvb3QlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0NteENlbGwlMjBpZCUzRCUyMjAlMjIlMjAlMkYlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0NteENlbGwlMjBpZCUzRCUyMjElMjIlMjBwYXJlbnQlM0QlMjIwJTIyJTIwJTJGJTNFJTBBJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTNDbXhDZWxsJTIwaWQlM0QlMjIyJTIyJTIwdmFsdWUlM0QlMjIxJTIyJTIwc3R5bGUlM0QlMjJyb3VuZGVkJTNEMCUzQndoaXRlU3BhY2UlM0R3cmFwJTNCaHRtbCUzRDElM0JzdHJva2VXaWR0aCUzRDAuNSUzQnN0cm9rZUNvbG9yJTNEJTIzOTk5OTk5JTNCZm9udFNpemUlM0QyMCUzQnNwYWNpbmdUb3AlM0QxJTNCJTIyJTIwdmVydGV4JTNEJTIyMSUyMiUyMHBhcmVudCUzRCUyMjElMjIlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0NteEdlb21ldHJ5JTIweCUzRCUyMjE2MCUyMiUyMHklM0QlMjIxNTIwJTIyJTIwd2lkdGglM0QlMjI0MCUyMiUyMGhlaWdodCUzRCUyMjQwJTIyJTIwYXMlM0QlMjJnZW9tZXRyeSUyMiUyMCUyRiUzRSUwQSUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUzQyUyRm14Q2VsbCUzRSUwQSUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUzQ214Q2VsbCUyMGlkJTNEJTIyMyUyMiUyMHZhbHVlJTNEJTIyMSUyMiUyMHN0eWxlJTNEJTIycm91bmRlZCUzRDAlM0J3aGl0ZVNwYWNlJTNEd3JhcCUzQmh0bWwlM0QxJTNCc3Ryb2tlV2lkdGglM0QwLjUlM0JzdHJva2VDb2xvciUzRCUyMzk5OTk5OSUzQmZvbnRTaXplJTNEMjAlM0JzcGFjaW5nVG9wJTNEMSUzQiUyMiUyMHZlcnRleCUzRCUyMjElMjIlMjBwYXJlbnQlM0QlMjIxJTIyJTNFJTBBJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTNDbXhHZW9tZXRyeSUyMHglM0QlMjIxMjAlMjIlMjB5JTNEJTIyMTUyMCUyMiUyMHdpZHRoJTNEJTIyNDAlMjIlMjBoZWlnaHQlM0QlMjI0MCUyMiUyMGFzJTNEJTIyZ2VvbWV0cnklMjIlMjAlMkYlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0MlMkZteENlbGwlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0NteENlbGwlMjBpZCUzRCUyMjQlMjIlMjB2YWx1ZSUzRCUyMjElMjIlMjBzdHlsZSUzRCUyMnJvdW5kZWQlM0QwJTNCd2hpdGVTcGFjZSUzRHdyYXAlM0JodG1sJTNEMSUzQnN0cm9rZVdpZHRoJTNEMC41JTNCc3Ryb2tlQ29sb3IlM0QlMjM5OTk5OTklM0Jmb250U2l6ZSUzRDIwJTNCc3BhY2luZ1RvcCUzRDElM0IlMjIlMjB2ZXJ0ZXglM0QlMjIxJTIyJTIwcGFyZW50JTNEJTIyMSUyMiUzRSUwQSUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUzQ214R2VvbWV0cnklMjB4JTNEJTIyODAlMjIlMjB5JTNEJTIyMTUyMCUyMiUyMHdpZHRoJTNEJTIyNDAlMjIlMjBoZWlnaHQlM0QlMjI0MCUyMiUyMGFzJTNEJTIyZ2VvbWV0cnklMjIlMjAlMkYlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0MlMkZteENlbGwlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0NteENlbGwlMjBpZCUzRCUyMjUlMjIlMjB2YWx1ZSUzRCUyMjAlMjIlMjBzdHlsZSUzRCUyMnJvdW5kZWQlM0QwJTNCd2hpdGVTcGFjZSUzRHdyYXAlM0JodG1sJTNEMSUzQnN0cm9rZVdpZHRoJTNEMC41JTNCc3Ryb2tlQ29sb3IlM0QlMjM5OTk5OTklM0Jmb250U2l6ZSUzRDIwJTNCc3BhY2luZ1RvcCUzRDElM0IlMjIlMjB2ZXJ0ZXglM0QlMjIxJTIyJTIwcGFyZW50JTNEJTIyMSUyMiUzRSUwQSUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUzQ214R2VvbWV0cnklMjB4JTNEJTIyODAlMjIlMjB5JTNEJTIyMTQ4MCUyMiUyMHdpZHRoJTNEJTIyNDAlMjIlMjBoZWlnaHQlM0QlMjI0MCUyMiUyMGFzJTNEJTIyZ2VvbWV0cnklMjIlMjAlMkYlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0MlMkZteENlbGwlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0NteENlbGwlMjBpZCUzRCUyMjYlMjIlMjB2YWx1ZSUzRCUyMjAlMjIlMjBzdHlsZSUzRCUyMnJvdW5kZWQlM0QwJTNCd2hpdGVTcGFjZSUzRHdyYXAlM0JodG1sJTNEMSUzQnN0cm9rZVdpZHRoJTNEMC41JTNCc3Ryb2tlQ29sb3IlM0QlMjM5OTk5OTklM0Jmb250U2l6ZSUzRDIwJTNCc3BhY2luZ1RvcCUzRDElM0IlMjIlMjB2ZXJ0ZXglM0QlMjIxJTIyJTIwcGFyZW50JTNEJTIyMSUyMiUzRSUwQSUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUzQ214R2VvbWV0cnklMjB4JTNEJTIyODAlMjIlMjB5JTNEJTIyMTQ0MCUyMiUyMHdpZHRoJTNEJTIyNDAlMjIlMjBoZWlnaHQlM0QlMjI0MCUyMiUyMGFzJTNEJTIyZ2VvbWV0cnklMjIlMjAlMkYlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0MlMkZteENlbGwlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0NteENlbGwlMjBpZCUzRCUyMjclMjIlMjB2YWx1ZSUzRCUyMjAlMjIlMjBzdHlsZSUzRCUyMnJvdW5kZWQlM0QwJTNCd2hpdGVTcGFjZSUzRHdyYXAlM0JodG1sJTNEMSUzQnN0cm9rZVdpZHRoJTNEMC41JTNCc3Ryb2tlQ29sb3IlM0QlMjM5OTk5OTklM0Jmb250U2l6ZSUzRDIwJTNCc3BhY2luZ1RvcCUzRDElM0IlMjIlMjB2ZXJ0ZXglM0QlMjIxJTIyJTIwcGFyZW50JTNEJTIyMSUyMiUzRSUwQSUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUzQ214R2VvbWV0cnklMjB4JTNEJTIyMTIwJTIyJTIweSUzRCUyMjE0NDAlMjIlMjB3aWR0aCUzRCUyMjQwJTIyJTIwaGVpZ2h0JTNEJTIyNDAlMjIlMjBhcyUzRCUyMmdlb21ldHJ5JTIyJTIwJTJGJTNFJTBBJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTNDJTJGbXhDZWxsJTNFJTBBJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTNDbXhDZWxsJTIwaWQlM0QlMjI4JTIyJTIwdmFsdWUlM0QlMjIxJTIyJTIwc3R5bGUlM0QlMjJyb3VuZGVkJTNEMCUzQndoaXRlU3BhY2UlM0R3cmFwJTNCaHRtbCUzRDElM0JzdHJva2VXaWR0aCUzRDAuNSUzQnN0cm9rZUNvbG9yJTNEJTIzOTk5OTk5JTNCZm9udFNpemUlM0QyMCUzQnNwYWNpbmdUb3AlM0QxJTNCJTIyJTIwdmVydGV4JTNEJTIyMSUyMiUyMHBhcmVudCUzRCUyMjElMjIlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0NteEdlb21ldHJ5JTIweCUzRCUyMjE2MCUyMiUyMHklM0QlMjIxNDQwJTIyJTIwd2lkdGglM0QlMjI0MCUyMiUyMGhlaWdodCUzRCUyMjQwJTIyJTIwYXMlM0QlMjJnZW9tZXRyeSUyMiUyMCUyRiUzRSUwQSUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUzQyUyRm14Q2VsbCUzRSUwQSUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUzQ214Q2VsbCUyMGlkJTNEJTIyOSUyMiUyMHZhbHVlJTNEJTIyMSUyMiUyMHN0eWxlJTNEJTIycm91bmRlZCUzRDAlM0J3aGl0ZVNwYWNlJTNEd3JhcCUzQmh0bWwlM0QxJTNCc3Ryb2tlV2lkdGglM0QwLjUlM0JzdHJva2VDb2xvciUzRCUyMzk5OTk5OSUzQmZvbnRTaXplJTNEMjAlM0JzcGFjaW5nVG9wJTNEMSUzQiUyMiUyMHZlcnRleCUzRCUyMjElMjIlMjBwYXJlbnQlM0QlMjIxJTIyJTNFJTBBJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTNDbXhHZW9tZXRyeSUyMHglM0QlMjIxMjAlMjIlMjB5JTNEJTIyMTQ4MCUyMiUyMHdpZHRoJTNEJTIyNDAlMjIlMjBoZWlnaHQlM0QlMjI0MCUyMiUyMGFzJTNEJTIyZ2VvbWV0cnklMjIlMjAlMkYlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0MlMkZteENlbGwlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0NteENlbGwlMjBpZCUzRCUyMjEwJTIyJTIwdmFsdWUlM0QlMjIwJTIyJTIwc3R5bGUlM0QlMjJyb3VuZGVkJTNEMCUzQndoaXRlU3BhY2UlM0R3cmFwJTNCaHRtbCUzRDElM0JzdHJva2VXaWR0aCUzRDAuNSUzQnN0cm9rZUNvbG9yJTNEJTIzOTk5OTk5JTNCZm9udFNpemUlM0QyMCUzQnNwYWNpbmdUb3AlM0QxJTNCJTIyJTIwdmVydGV4JTNEJTIyMSUyMiUyMHBhcmVudCUzRCUyMjElMjIlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0NteEdlb21ldHJ5JTIweCUzRCUyMjE2MCUyMiUyMHklM0QlMjIxNDgwJTIyJTIwd2lkdGglM0QlMjI0MCUyMiUyMGhlaWdodCUzRCUyMjQwJTIyJTIwYXMlM0QlMjJnZW9tZXRyeSUyMiUyMCUyRiUzRSUwQSUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUzQyUyRm14Q2VsbCUzRSUwQSUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUzQ214Q2VsbCUyMGlkJTNEJTIyMTElMjIlMjB2YWx1ZSUzRCUyMjElMjIlMjBzdHlsZSUzRCUyMnJvdW5kZWQlM0QwJTNCd2hpdGVTcGFjZSUzRHdyYXAlM0JodG1sJTNEMSUzQnN0cm9rZVdpZHRoJTNEMC41JTNCc3Ryb2tlQ29sb3IlM0QlMjM5OTk5OTklM0Jmb250U2l6ZSUzRDIwJTNCc3BhY2luZ1RvcCUzRDElM0IlMjIlMjB2ZXJ0ZXglM0QlMjIxJTIyJTIwcGFyZW50JTNEJTIyMSUyMiUzRSUwQSUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUzQ214R2VvbWV0cnklMjB4JTNEJTIyMTYwJTIyJTIweSUzRCUyMjE1NjAlMjIlMjB3aWR0aCUzRCUyMjQwJTIyJTIwaGVpZ2h0JTNEJTIyNDAlMjIlMjBhcyUzRCUyMmdlb21ldHJ5JTIyJTIwJTJGJTNFJTBBJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTNDJTJGbXhDZWxsJTNFJTBBJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTNDbXhDZWxsJTIwaWQlM0QlMjIxMiUyMiUyMHZhbHVlJTNEJTIyMSUyMiUyMHN0eWxlJTNEJTIycm91bmRlZCUzRDAlM0J3aGl0ZVNwYWNlJTNEd3JhcCUzQmh0bWwlM0QxJTNCc3Ryb2tlV2lkdGglM0QwLjUlM0JzdHJva2VDb2xvciUzRCUyMzk5OTk5OSUzQmZvbnRTaXplJTNEMjAlM0JzcGFjaW5nVG9wJTNEMSUzQiUyMiUyMHZlcnRleCUzRCUyMjElMjIlMjBwYXJlbnQlM0QlMjIxJTIyJTNFJTBBJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTNDbXhHZW9tZXRyeSUyMHglM0QlMjIxMjAlMjIlMjB5JTNEJTIyMTU2MCUyMiUyMHdpZHRoJTNEJTIyNDAlMjIlMjBoZWlnaHQlM0QlMjI0MCUyMiUyMGFzJTNEJTIyZ2VvbWV0cnklMjIlMjAlMkYlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0MlMkZteENlbGwlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0NteENlbGwlMjBpZCUzRCUyMjEzJTIyJTIwdmFsdWUlM0QlMjIwJTIyJTIwc3R5bGUlM0QlMjJyb3VuZGVkJTNEMCUzQndoaXRlU3BhY2UlM0R3cmFwJTNCaHRtbCUzRDElM0JzdHJva2VXaWR0aCUzRDAuNSUzQnN0cm9rZUNvbG9yJTNEJTIzOTk5OTk5JTNCZm9udFNpemUlM0QyMCUzQnNwYWNpbmdUb3AlM0QxJTNCJTIyJTIwdmVydGV4JTNEJTIyMSUyMiUyMHBhcmVudCUzRCUyMjElMjIlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0NteEdlb21ldHJ5JTIweCUzRCUyMjgwJTIyJTIweSUzRCUyMjE1NjAlMjIlMjB3aWR0aCUzRCUyMjQwJTIyJTIwaGVpZ2h0JTNEJTIyNDAlMjIlMjBhcyUzRCUyMmdlb21ldHJ5JTIyJTIwJTJGJTNFJTBBJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTNDJTJGbXhDZWxsJTNFJTBBJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTNDbXhDZWxsJTIwaWQlM0QlMjIxNCUyMiUyMHZhbHVlJTNEJTIyMCUyMiUyMHN0eWxlJTNEJTIycm91bmRlZCUzRDAlM0J3aGl0ZVNwYWNlJTNEd3JhcCUzQmh0bWwlM0QxJTNCc3Ryb2tlV2lkdGglM0QwLjUlM0JzdHJva2VDb2xvciUzRCUyMzk5OTk5OSUzQmZvbnRTaXplJTNEMjAlM0JzcGFjaW5nVG9wJTNEMSUzQiUyMiUyMHZlcnRleCUzRCUyMjElMjIlMjBwYXJlbnQlM0QlMjIxJTIyJTNFJTBBJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTNDbXhHZW9tZXRyeSUyMHglM0QlMjIyMDAlMjIlMjB5JTNEJTIyMTUyMCUyMiUyMHdpZHRoJTNEJTIyNDAlMjIlMjBoZWlnaHQlM0QlMjI0MCUyMiUyMGFzJTNEJTIyZ2VvbWV0cnklMjIlMjAlMkYlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0MlMkZteENlbGwlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0NteENlbGwlMjBpZCUzRCUyMjE1JTIyJTIwdmFsdWUlM0QlMjIwJTIyJTIwc3R5bGUlM0QlMjJyb3VuZGVkJTNEMCUzQndoaXRlU3BhY2UlM0R3cmFwJTNCaHRtbCUzRDElM0JzdHJva2VXaWR0aCUzRDAuNSUzQnN0cm9rZUNvbG9yJTNEJTIzOTk5OTk5JTNCZm9udFNpemUlM0QyMCUzQnNwYWNpbmdUb3AlM0QxJTNCJTIyJTIwdmVydGV4JTNEJTIyMSUyMiUyMHBhcmVudCUzRCUyMjElMjIlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0NteEdlb21ldHJ5JTIweCUzRCUyMjIwMCUyMiUyMHklM0QlMjIxNDQwJTIyJTIwd2lkdGglM0QlMjI0MCUyMiUyMGhlaWdodCUzRCUyMjQwJTIyJTIwYXMlM0QlMjJnZW9tZXRyeSUyMiUyMCUyRiUzRSUwQSUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUzQyUyRm14Q2VsbCUzRSUwQSUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUzQ214Q2VsbCUyMGlkJTNEJTIyMTYlMjIlMjB2YWx1ZSUzRCUyMjElMjIlMjBzdHlsZSUzRCUyMnJvdW5kZWQlM0QwJTNCd2hpdGVTcGFjZSUzRHdyYXAlM0JodG1sJTNEMSUzQnN0cm9rZVdpZHRoJTNEMC41JTNCc3Ryb2tlQ29sb3IlM0QlMjM5OTk5OTklM0Jmb250U2l6ZSUzRDIwJTNCc3BhY2luZ1RvcCUzRDElM0IlMjIlMjB2ZXJ0ZXglM0QlMjIxJTIyJTIwcGFyZW50JTNEJTIyMSUyMiUzRSUwQSUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUzQ214R2VvbWV0cnklMjB4JTNEJTIyMjAwJTIyJTIweSUzRCUyMjE0ODAlMjIlMjB3aWR0aCUzRCUyMjQwJTIyJTIwaGVpZ2h0JTNEJTIyNDAlMjIlMjBhcyUzRCUyMmdlb21ldHJ5JTIyJTIwJTJGJTNFJTBBJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTNDJTJGbXhDZWxsJTNFJTBBJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTNDbXhDZWxsJTIwaWQlM0QlMjIxNyUyMiUyMHZhbHVlJTNEJTIyMCUyMiUyMHN0eWxlJTNEJTIycm91bmRlZCUzRDAlM0J3aGl0ZVNwYWNlJTNEd3JhcCUzQmh0bWwlM0QxJTNCc3Ryb2tlV2lkdGglM0QwLjUlM0JzdHJva2VDb2xvciUzRCUyMzk5OTk5OSUzQmZvbnRTaXplJTNEMjAlM0JzcGFjaW5nVG9wJTNEMSUzQiUyMiUyMHZlcnRleCUzRCUyMjElMjIlMjBwYXJlbnQlM0QlMjIxJTIyJTNFJTBBJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTIwJTNDbXhHZW9tZXRyeSUyMHglM0QlMjIyMDAlMjIlMjB5JTNEJTIyMTU2MCUyMiUyMHdpZHRoJTNEJTIyNDAlMjIlMjBoZWlnaHQlM0QlMjI0MCUyMiUyMGFzJTNEJTIyZ2VvbWV0cnklMjIlMjAlMkYlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0MlMkZteENlbGwlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0NteENlbGwlMjBpZCUzRCUyMjE4JTIyJTIwdmFsdWUlM0QlMjJNJTIwJTNEJTIyJTIwc3R5bGUlM0QlMjJyb3VuZGVkJTNEMCUzQndoaXRlU3BhY2UlM0R3cmFwJTNCaHRtbCUzRDElM0Jmb250RmFtaWx5JTNESmV0QnJhaW5zJTIwTW9ubyUzQmZvbnRTaXplJTNEMjAlM0Jmb250Q29sb3IlM0QlMjM0RDRENEQlM0JsYWJlbEJhY2tncm91bmRDb2xvciUzRG5vbmUlM0JzdHJva2VDb2xvciUzRG5vbmUlM0Jmb250U3R5bGUlM0QwJTNCZm9udFNvdXJjZSUzRGh0dHBzJTI1M0ElMjUyRiUyNTJGZm9udHMuZ29vZ2xlYXBpcy5jb20lMjUyRmNzcyUyNTNGZmFtaWx5JTI1M0RKZXRCcmFpbnMlMjUyQk1vbm8lM0JmaWxsQ29sb3IlM0Rub25lJTNCJTIyJTIwdmVydGV4JTNEJTIyMSUyMiUyMHBhcmVudCUzRCUyMjElMjIlM0UlMEElMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlMjAlM0NteEdlb21ldHJ5JTIweCUzRCUyMjIwJTIyJTIweSUzRCUyMjE0NDAlMjIlMjB3aWR0aCUzRCUyMjYwJTIyJTIwaGVpZ2h0JTNEJTIyMTYwJTIyJTIwYXMlM0QlMjJnZW9tZXRyeSUyMiUyMCUyRiUzRSUwQSUyMCUyMCUyMCUyMCUyMCUyMCUyMCUyMCUzQyUyRm14Q2VsbCUzRSUwQSUyMCUyMCUyMCUyMCUyMCUyMCUzQyUyRnJvb3QlM0UlMEElMjAlMjAlMjAlMjAlM0MlMkZteEdyYXBoTW9kZWwlM0UlMEElMjAlMjAlM0MlMkZkaWFncmFtJTNFJTBBJTNDJTJGbXhmaWxlJTNFJTBBWZArzgAAIABJREFUeF7snQuwVNWVsNfFaAQlOD6AICAximP011JHRJ0kPphgFJWxIkqNhShyI8pMLKODWoIDJBKNjhrK0QgCSswomChioiaBUSNKAYUl0VIRoRAoBUJMpFB0hnv/e648vNx+nHN6nd577f11lTVTYZ+19/rWx+pedPfphuaWh/CAAAQgAAEIQAACEIAABCAAAQiETCCZfBvaJtjAQBxyxckNAhCAAAQgAAEIQAACEIAABMoRYCDGDQhAAAIQgAAEIAABCEAAAhCIkgADcZRlJ2kIQAACEIAABCAAAQhAAAIQYCBWcKCpJUYHhTiEgAAEIAABCEAAAhCAAAQgAIH6EWAgrh9rdoIABCAAAQhAAAIQgAAEIAABjwgwEHtUDI4CAQhAAAIQgAAEIAABCEAAAvUjwEBcP9bsBAEIQAACEIAABCAAAQhAAAIeEWAg9qgYHAUCEIAABCAAAQhAAAK2CJT4YVdbCdg4LTctKqxODMSFoSUwBCAAAQhAAAIQgAAEIAABCPhMgIHY5+pwNghAAAIQgAAEIAABCEAAAhAojAADsRbaED4twkcxtGwgDgQgAAEIQAACEIAABCBggAADsYEicUQIQAACEIAABCAAAQhAAAIQ0CfAQKzPlIgQgAAEIAABCEAAAhCAQKQE+NClrcIzENuqF6eFAAQgAAEIQAACEIAABCAAASUCDMRKIAkDAQhAAAIQgAAEIAABCEAAArYIMBDbqhenhQAEIAABCEAAAhCAAAQgAAElAgzESiAJAwEIQAACEIAABCAAAQhAAAK2CDAQ26oXp4UABCAAAQhAAAIQgAAEIAABJQIMxEogCQMBCEAAAhCAAAQgAAEIQAACtggwENuqF6eFAAQgAAEIQAACEIAABCAAASUCDMRKIAkDAQhAAAIQgAAEIAABCEAAArYIMBB7VC9+xNujYnAUCEAAAhCAAAQgAAEIQCB4AgzEwZeYBCEAAQhAAAIQgAAEIAABCECgFAEGYryAAAQgAAEIQAACEIAABCAAgSgJMBBHWXaShgAEIAABCEAAAhCAAAQgAAEGYhyAAAQgAAEIQAACEIAABCAAgSgJMBBHWXaShgAEIAABCEAAAhCAAAQgAAEGYhyAAASyEeB26Nl4sRoCEIAABCAAAQhAwFsCDMTeloaDQQACEIAABCAAAQhAAAIQgECRBBiIi6RLbAhAAAIQgAAEIAABCEAAAhDwlgADsbel4WAQgAAEIAABCEAAAhCAAAQgUCQBBuIi6RIbAhCAAAQgAAEIQAACEIAABLwlwEDsbWk4GAQgAAEIQAACEIAABBwQaG7Zs8HBvmwJAQcEGIgdQGdLCOgS4FlLlyfRIAABCEAAAhCAAARiIcBAHEulyRMCEIAABCAAAQhAAAIQgAAE2hBgIEYICEAAAhCAAAQgAAEIQAACEIiSAANxlGUnaQhAAAIQgAAEIAABCEAAAhBgIMYBCEAAAhCAAAQgAAEIQAACEIiSAANxlGWPLemmloQ7xJY0+UIAAhCAAAQgAAEIQAACVQgwEKMIBCAAAQhAAAIQgAAEIAABCERJgIE4yrKTNATqR+CBBx6o32bsBAEIQAACEIAABCDgDYHGxkZvzlLuIAzE3peIA0LANgEGYtv14/QQgAAEIAABCEAgLwEG4rzkuA4CEAiGwI6B2EJDDAY6iewkgH/I4JIA/rmkz974hwMuCVjyj3eIXZrC3hCIgIClhhhBOaJLEf+iK7lXCeOfV+WI7jD4F13JvUrYkn8MxF6pw2EgEB4BSw0xPPpkhH844JIA/rmkH9LezS3JNGROCP8yI+MCRQKW/GMgViw8oSAAgfYELDVE6hceAfwLr6aWMsI/S9UK76z4F15NLWVkyT8GYktmcVYIGCRgqSEaxMuRqxDAPxRxSQD/XNJnb/zDAZcELPnHQOzSFPaGQAQELDXECMoRXYr4F13JvUoY/7wqR3SHwb/oSu5Vwpb8YyD2Sh0OA4HwCFhqiOHRJyP8wwGXBPDPJX32xj8ccEnAkn/mBuJ8txVwqQN7QyBuApYaYtyVCjN7/Auzrlaywj8rlQrznPgXZl2tZGXJP3MDsRUJOCcEIPA5AUsNkZqFRwD/wquppYzwz1K1wjsr/oVXU0sZWfKPgdiSWZwVAgYJWGqIBvFy5CoE8A9FXBLAP5f02Rv/cMAlAUv+MRC7NIW9IRABAUsNMYJyRJci/kVXcq8Sxj+vyhHdYfAvupJ7lbAl/xiIvVKHw0AgPAKWGmJ49MkI/3DAJQH8c0mfvfEPB1wSsOQfA7FLU9gbAhEQsNQQIyhHdCniX3Ql9yph/POqHNEdBv+iK7lXCVvyj4HYK3U4DATCI2CpIYZHn4zwDwdcEsA/l/TZG/9wwCUBS/4xELs0hb0hEAEBSw0xgnJElyL+RVdyrxLGP6/KEd1h8C+6knuVsCX/GIi9UofDQCA8ApYaYnj0yQj/cMAlAfxzSZ+98Q8HXBKw5B8DsUtT2BsCERCw1BAjKEd0KeJfdCX3KmH886oc0R0G/6IruVcJW/KPgdgrdTgMBMIjYKkhhkefjPAPB1wSwD+X9Nkb/3DAJQFL/jEQuzSFvSEQAYHsDbGphUqHCMiQYj0IZPevHqdij1gI4F8slfYzT/zzsy6xnMqSfwzEsVhJnhBwRMBSQ3SEiG0LJIB/BcIldFUC+FcVEQsKJIB/BcIldFUClvxjIK5aThZAAAK1ELDUEGvJk2v9JIB/ftYlllPhXyyV9jNP/POzLulOZf/Tcpb8YyBOZyWrIACBnAQsNcScKXKZxwTwz+PiRHA0/IugyB6niH8eFyeCo1nyj4E4AiFJEQIuCVhqiC45sXcxBPCvGK5ETUcA/9JxYlUxBPCvGK5ETUfAkn8MxOlqyioIQCAnAUsNMWeKXOYxAfzzuDgRHA3/Iiiyxynin8fFieBolvxjII5ASFKEgEsClhqiS07sXQwB/CuGK1HTEcC/dJxYVQwB/CuGK1HTEbDkHwNxupqyCgIQyEnAUkPMmSKXeUwA/zwuTgRHw78IiuxxivjncXEiOJol/xiIIxCSFCHgkoClhuiSE3sXQwD/iuFK1HQE8C8dJ1YVQwD/iuFK1HQELPnHQJyupqyCAARyErDUEHOmyGUeE8A/j4sTwdHwL4Iie5wi/nlcnAiOZsk/BuIIhCRFCLgkYKkhuuTE3sUQwL9iuBI1HQH8S8eJVcUQwL9iuBI1HQFL/jEQp6spqyAAgZwELDXEnClymccE8M/j4kRwNPyLoMgep4h/HhcngqNZ8o+BOAIhSRECLglYaoguObF3MQTwrxiuRE1HAP/ScWJVMQTwrxiuRE1HwJJ/DMTpasoqCEAgJwFLDTFnilzmMQH887g4ERwN/yIosscp4p/HxYngaJb8YyCOQEhShIBLApYaoktO7F0MAfwrhitR0xHAv3ScWFUMAfwrhitR0xGw5B8DcbqasgoCEEgINLX81yEbCksNMVtmrLZAAP8sVCncM+JfuLW1kBn+WahSuGe05B8DcbgeklleAjmGvrxbxXCdpYYYQz1iyxH/Yqu4X/nin1/1iO00+Bdbxf3K15J/DMR+ucNpIBAcAUsNMTj4JCT4hwQuCeCfS/rsjX844JKAJf8YiF2awt4QiICApYYYQTmiSxH/oiu5Vwnjn1fliO4w+Bddyb1K2JJ/DMReqcNhIBAeAUsNMTz6u2UU4dcB8C94q71OEP+8Lk/wh8O/4EvsdYKW/GMg9lolDgcB+wQsNUT7tMlgdwL4hxMuCeCfS/rsjX844JKAJf8YiF2awt4QiICApYYYQTmiSxH/oiu5Vwnjn1fliO4w+Bddyb1K2JJ/DMReqcNhIBAeAUsNMTz6ZIR/OOCSAP65pM/e+IcDLglY8o+B2KUp7A2BCAhYaogRlCO6FPEvupJ7lTD+eVWO6A6Df9GV3KuELfnHQOyVOhwGAuERsNQQw6NPRviHAy4J4J9L+uyNfzjgkoAl/xiIXZrC3hCIgIClhhhBOaJLEf+iK7lXCeOfV+WI7jD4F13JvUrYkn8MxF6p4+thmlsO1uDr4TiX5wQsNUSXKD/99FN577335N133239b+vWrdKpUyc5+OCDpUePHq3/de3aVb70pS+5PKa5vfEvXcnwLx2nrKvwLyuxXesXLlwoH330UbsAJ510knTp0iV/4IiuxL90xab/peOUdZUl/xiIs1aX9RCAQCYClhpipsQUFr/66qvyk5/8RJYsWSIrV65MFfHiiy+WESNGyOmnny577LFHqmtiXoR/5auPf8X/zcC/fIyTfxDs2LFjyYtnzZolF154Yb7AkV2Ff/Q/l8pb8o+B2KUp7A2BCAhYaoj1Kscbb7wh48ePl9mzZ+fesmfPnjJq1Ci56qqrZL/99ssdJ/QL8a99hfGvftbjXz7W8+bNkwEDBjAQ58O38yr8o//VqFBNl1vyj4G4plJzMQQgUI2ApYZYLZda/3z9+vVy/fXXy8yZM2sNtfP6Qw89VObMmSNHH320WsyQAuHfrmriX/3Nxr98zK+77jq58847GYjz4WMgLsGN/lejTDkut9T/GIhzFJhLIACB9AQsNcT0WWVf+eGHH8ppp50my5Yty35xiiv4GGFpSPj3ORf8S/GXqIAl+Jcd6scffyzdu3eXzZs3MxBnx9fmCvyj/9WoUE2XW/KPgbimUnMxBCBQjYClhlgtl7x/nrzA+853viMLFizIGyLVdcnHsMeNG5dqbSyL8E8E/9zZjn/Z2U+dOlVGjhxZ9kL+8S89U/yj/6W3RX+lJf8YiPXrT0QIQOALBCw1xCIK99lnn8ngwYPlmWeeKSJ8u5i//e1v5bvf/W5d9rKwCf7hn0tPY/cvK/u//OUvcuSRR8qGDRsYiLPCK7E+dv94/lWQqIYQlvxjIK6h0FwKAQhUJ2CpIVbPJvuKYcOGZfrO8LnnniuHHXaYJDfNSu60unr1annzzTflj3/8Y6rNO3fuLO+8845069Yt1frQF9XkXwC/OId/bg2vyT+3R6/77k1NTTJ06FBJ3gGu9OAd4vSlid0/+l96V4pYack/BuIiDCAmBCCwk4ClhqhdtpdffllOPfXUqmGTIXbMmDGtHxNMfmu41OPtt9+We+65R+67776q8c455xyZO3euNDTw++H4h39V/8IUuCBm/7JgTb4vfNlll8mvfvWrqpcxEFdFxPNvCwGef9N7UtRKS/2PgbgoC4gLAQi0ErDUELVLdtZZZ8lzzz1XMWzfvn3l2Wefla997Wuptn/xxRfl29/+dtW106dPl+HDh1ddF/oC/MM/l47H7F8a7qtWrZJf/OIX8tOf/rTsTbR2j8NAnIbs52ti9o/n3/SeFLXSkn8MxEVZQFwIQCDqJ+SFCxfKySefXNGC448/Xn73u9/JAQcckMmWNLGTQTv5qHWHDh0yxQ5tsaUnZE32aRzBP03ipWPF6l8pGsn3OZNPuiR32l+6dKk8/fTTsnz58sxFYCBOjyxW/+h/6R0pcqUl/xiIizSB2BCAQLT/Qn322WdXvZHWW2+9JUcccUQuS+666y659tprK16bvDud3N065oelJ2TNOuGfJs38sWL1bwexH/7wh63D74oVK2Tt2rX5QX7hSgbi9Bhj9Y/+l96RIlda8o+BuEgTiA0BCEQ5EKf51+lbb71VbrzxxtyGfPLJJ9KnT5+Kd2NNvkucvAsT88PSE7JWnfBPi2TtcWL074vUevXqpTYI74jLQJzeyxj9o/+l96PolZb8YyAu2gaf4ze1HC7uT1P6XJ1gzmapIWpBT24OM2PGjLLhkhtnrVmzRvbaa6+atnzwwQfliiuuqBhj3bp10qNHj5r2sXwx/rWvHv7Vz+gY/WMgrp9f1XaK0T+ef6tZUb8/t+QfA3H9vGAnCERJwFJD1CpQ8pNHlX5Hc+zYsTJhwoSat9u0aZMceOCBFeP88pe/bP0pk1gf+Ne+8vhXv78NMfrHQFw/v6rtFKN/PP9Ws6J+f27JPwbi+nnBThCIkoClhqhRoHfffbf1d4QrPZIbyRx++OEa28mZZ54p8+fPLxvr8ssvl+Sd5Fgf+Ne+8vhXv78Nsfm3O1k+Ml0/10rtFJt/PP+69W333S35F+xAzKeB/fpLwWniJWCpIWpUaebMmTJs2LCyofr37y+vvPKKxlatMe69914ZPXp02XjJx2M/+OCDaH+TGP/aqoF/an/1UgWKzT8G4lRa1G1RbP7x/Fs3tVJtZMm/YAfiVJViEQQgoEqguSVaw24RLTVEDRjJd3orvSN78803y8SJEzW2ao2R3MH1hBNOKBsvqcebNdzNWu2gjgLhX1vw9fYv2b2Wu6k70kZt29j82x1c8rNyGzduzMRz3LhxsnLlyrLXcFOt9Dhj88+351/63wOtsjY2NqaX1tFKBmJH4NkWArEQiO0JudpHBJO7Pid3f9Z6bN26VTp27Fgx3Ny5c2XQoEFaW5qKg39ty4V/Bepb4l8EY/NPg+55550nSc8q92AgTk85Nv94/k3vRj1WWvKPgbgeRrAHBCImYKkh1lqm1atXt/4UUqXH+vXrJfkYs+YjeYc4eae43OPuu++WH/zgB5pbmomFf21LhX/1VTcm/7TIMhBrkZSofvaQ5189b7QiWep/DMRaVScOBCBQkoClhlhrCR999NGKd3Tu2bNn688taT+SjyNNmTKlbNjkO8aTJ0/W3tZEPPzbVSb8q7+yMfmnRZeBWItkXAMxz7963mhFstT/GIi1qk4cCEAg+oH4jjvukOuvv76sCWeccYbMmzdP3ZQf//jHknw3tNxj4MCB8uyzz6rvayGgpSfkWnniX60E9a+PyT8tegzEWiTjGojpf3reaEWy1P8YiLWqThwIQCD6gfimm26SSZMmlTVhxIgRMnXqVHVTZsyYIZdddlnZuIceeqgkP0cR48PSE3Kt9cG/WgnqXx+Tf1r0GIi1SMY1ENP/9LzRimSp/zEQa1WdOBCAQPQD8ahRo+T+++8va8L48eMluYOq9iO5k2vyLnC5R+fOneWjjz7S3tZEPEtPyLUCxb9aCepfH5N/WvQYiLVIxjUQ0//0vNGKZKn/MRBrVZ04EIBA9APxkCFDZPbs2WVNmDZtWsV3cvMqtGzZMjn22GMrXt7cnNwCN76HpSfkWquDf7US1L8+Jv+06DEQa5GMayCm/+l5oxXJUv9jINaqOnEgAIHoB+IzzzxT5s+fX9aEp556Ss4991x1U5KPQx922GEV43722Wey5557qu/te0BLT8i1ssS/WgnqXx+Tf1r0GIi1SMY1ENP/9LzRimSp/zEQa1U9pjglfmvRSvqGj24FcbtzWmqItUJO3qVN3q0t9/j9738vAwYMqHWbdtevW7dOkjsIV3r89a9/lS5duqjv7XtA/NtVIfyrv60x+adFl4FYi2RcAzHPv3reaEWy1P8YiLWqThwIQKAkAUsNsdYSduvWTTZs2FA2zIsvvijf/OY3a92m3fV//vOf5aCDDqoY9/3335fu3bur7+17QPzbVSH8q7+tMfmnRZeBWItkXAMxz7963mhFstT/GIi1qk4cCEAg+oG4oaGhogWLFi2SE088Ud2UzZs3y1e+8pWKcVetWiV9+vRR39v3gJaekGtliX+1EtS/Pib/tOgxEGuRjGsgpv/peaMVyc/+V/qzogzEWlUnDgQgEPVA/Mknn0inTp0qWvDaa6/JMccco25Kcgfpah+HXrt2rRx88MHqe/se0M8nZH1q+KfPVCNiLP5psNoRg4FYj2Ys/tH/9JzRjGTJPwZizcqHHosv4IZe4ULys9QQawHw6aefyt57710xxOuvvy5HHXVULduUvHbjxo3StWvXinE3bdok+++/v/revgfEv10Vwr/62xqLf5pkGYj1aMbiH8+/es5oRrLkHwOxZuWJBQEItCNgqSHWWr5qH9launSpHHfccbVu0+76NWvWSO/evSvG3bJlS9V3sNUP5kFA/NtVBPyrv5Ax+adFl4FYiyQfmf4iSfqfnldpI1nqfwzEaavKOghAIBcBSw0xV4JfuCj5Hm/yfd5yj1deeUX69+9f6zbtrl+xYoUcfvjhFeNu27ZNOnTooL637wHxb1eF8K/+tsbknxZdBmItknENxDz/6nmjFclS/2Mg1qo6cSAAgZIELDXEWktY7S6XL7zwgnzrW9+qdZt21//pT3+q+t3k5ubkOw/xPfBvV83xr/7+x+SfFl0GYi2ScQ3EPP/qeaMVyVL/C3wgbmqpaXzviGiJTBwIaBCw1BBrzfeII46Q5cuXlw0zZ84cSV7saT8WL14s/fr1Kxs2+X7x+vXrtbc1EQ//dpUJ/+qvbEz+adFlINYiGddAzPOvnjdakSz1v8AHYq2SEgcCEMhLwFJDzJvjjutOOOEESb6nVO6RsBg5cmSt27S7fu7cuRUH7VNPPVVeeukl9X0tBMS/XVXCv/obG5N/WnQZiLVIxjUQ8/yr541WJEv9j4FYq+rEgQAEShKw1BBrLeHgwYMleReu3GPChAkyduzYWrdpd/29994ro0ePLhv30ksvlRkzZqjvayEg/u2qEv7V39iY/NOiy0CsRTKugZjnXz1vtCJZ6n8MxFpVJw4EIBD9QHzDDTfIbbfdVtaEK6+8Uu677z51U8aMGSO333572bjjx4+XcePGqe9rIaClJ+RaeeJfrQT1r4/JPy16DMRaJOMaiOl/et5oRbLU/xiItapOHAhAIPqBeOrUqRU/El3UR5eHDBkis2fPLmvg9OnTZfjw4VEaaukJudYC4V+tBPWvj8k/LXoMxFok4xqI6X963mhF8r7/Jfcabfg8WwZiraoTBwIQiH4gfv755+X000+vaEIRP39U7btTCxYskFNOOSVKQ71/QlasCv4pwlQKFZN/Ssha74eQ3Beh3GPWrFly4YUXam0XdJyY/KP/+aeyJf8YiP3zhxNBICgClhpireDXrFkjvXv3rhgm+c3gr3/967VutfP6LVu2yL777lsxXrKmU6dOantaCoR/bauFf/W1Nyb/tMgyEGuRjOsdYp5/9bzRimSp/zEQa1WdOBCAQEkClhpirSVsamqS/fbbTzZv3lw21EMPPSTDhg2rdaud18+bN08GDBhQNl5RH9NWS6DgQPjXFjD+FSzcbuFj8k+LLAOxFsm4BmKef/W80Ypkqf8xEGtVnTgQgED0A3ECIBl2Z86cWdaG5Pu+jz32mJott9xyiyR3Dy73uPnmm2XixIlq+1kLZOkJWYMt/mlQ1IsRm38a5BiINSh+HiM2/+h/eu5oRLLkHwOxRsWJ4SGBL3xT3sPTxXQkSw1Roy6PPPKIXHLJJWVDde7cWdavXy8dO3bU2E769esnixcvLhvrmWeekbPOOktlL4tB8K9t1fCvvhbH5p8GXQZiDYpxDsQ8/+q5oxHJUv9jINaoODEgAIGyBCw1RI0yvv/++9KjR4+Koe6//375/ve/X/N2S5YskRNPPLFuw3fNB3YQAP/aQ8e/+okYm38aZBmINSjGORDz/KvnjkYkS/2PgVij4sSAAAQYiL9AoNpdn3v27CkrV66UPffcsyZzLrjgAnniiSfKxhg9erRMnjy5pj2sX2zpCVmLNf5pkaw9Toz+1UqNgbhWgruuj9E/+p+eP7VGsuSf4YG4qaVOHWqtFddDAAIFE7DUELVQTJkyRRobGyuGS75nXOmj1dXO8uqrr8rxxx9fcdnChQvlpJNOqhYq6D/Hv9Llxb/6aB+jf7WSZSCulWDcAzHPv3r+1BrJUv8zPBDXWiauhwAE6kHAUkPU4vHxxx9L9+7dK95tumvXrpJ85LlXr16Zt920aVPrd4eTd5nLPfr27Stvv/125tihXYB/pSuKf/UxPUb/aiXLQFwrwbgHYp5/9fypNZKl/sdAXGu1uR4CEKhIwFJD1CxlcmfncePGVQz5jW98Q15++WXp0qVL6q23bt0q55xzjsyfP7/iNXPnzpVBgwaljhvqQvwrX1n8K976WP2rhSwDcS302l4bq388/+o5VEskS/4xENdSaa6FAASqErDUEKsmk2HBhg0bpFu3blWvOOOMM1p/pqnajbiSQCtWrJCLLrpIli5dWjHu+eefL08++WTVvWNYgH+Vq4x/xf4tiNW/WqgyENdCj4E4IcDzr55DtUSy1P8YiGupNNdCAAJVCVhqiFWTybhg2rRpMmLEiFRX/ehHP5JrrrlG9tlnn3brV69eLQ899JAkvzmc5rFq1Srp06dPmqXBr8E//HMpecz+5eXOQJyXXPvrYvaP5189j/JGsuQfA3HeKnMdBCCQioD/DbHYG/Ql7+jOmjUrFatkUfIzSkcddZQ0NzdLQ0ODvPPOO7JgwYLU10+aNEluuOGG1OtDX+i/f8VWAP+K5Vsteuz+VeNT6s8ZiPNQK31N7P7R//RcyhPJkn8MxHkqzDUQgEBqApYaYuqkMiz88MMP5ZhjjpG1a9dmuCrf0v79+8vzzz8vX/7yl/MFCPAq/MM/l1rH7l8e9gzEeagxEJcikPX5t6ElSHNO/Dz/tgdnqf8xEOcUn8sgAIF0BCw1xHQZZV+V/PzRySefnP3CDFcMHDhQHn/8cdl3330zXBX+UvwTwT93nuNfdvYMxNmZlbsC/+h/ejZlj2TJPwbi7PXlCghAIAMBSw0xQ1qZl7711luS3Oxq+fLlma+tdsGQIUPk4Ycf5p3hEqDw73Mo+Fftb1Exf45/2bkyEGdnxkBcmRn9T8+pLJEs9T8G4iyVZS0EIJCZgKWGmDm5jBf87W9/k0svvVTmzJmT8cryy0ePHi1333237LHHHmoxQwqEf7uqiX/1Nxv/sjNnIM7OjIG4OjP6X3VG2iss9T8GYu3qEw8CEGhDwFJDrEfpmpqaZMaMGXLPPffIsmXLcm+Z3L36mmt+IEcf/f9yx4jhQvxrW2Vd/65p8e/oGDTKnSP+ZUc3dOhQefTRR8te+PTTT7eOto8wAAAgAElEQVT+FjuP6gTwj/5X3ZLiVljyj4G4OA+IDAEItBCw1BDrXbBFixbJ1KlTZcqUKam27tmzpwwbNkyuvvrqVL9bnCpo4Ivwr3yB8a94+fGveMbsUJ4A/tH/XP79sOQfA7FLU9gbAhEQsNQQXZVj27ZtsmHDBlm3bl3rf8kdqZOPd331q1+VQw45RHr37i29evXiO8I5CoR/1aHhX3VGeVfgX15yXKdBAP+qU6T/VWeUd4Ul/xiI81aZ6yAAgVQELDXEVAmxyBQB/DNVruAOi3/BldRUQvhnqlzBHdaSfwzEwelHQhDwi4ClhugXOf9Ok/w+Y/I7jZYe+GepWuGdFf/Cq6mTjJpadu2QfWf8y86MK/QIWPKPgViv7sYjWXypaxx5JMd/4IGpLZk2SWNjYyQZk6ZPBCw9IfvEjbPoEMA/HY5EyUcA//Jx4yodApb8YyDWqTlRIACBMgQsNUSKGB4B/AuvppYywj9L1QrvrPgXXk0tZWTJPwZiS2ZxVggYJGCpIRrEy5GrEMA/FHFJAP9c0mfvz/1rbvmE1veBAYG6E7DU/xiI664HG0IgLgKWGmJclYkjW/yLo86+Zol/vlYmjnPhXxx19jVLS/4xEPtqEeeCQCAE3DdEvh8fiEq50nDvX65jc1EgBPAvkEIaTQP/jBYukGNb8o+BOBDpSAMCvhKw1BB9Zci58hPAv/zsuLJ2AvhXO0Mi5CeAf/nZcWXtBCz5x0Bce72JAAEIVCBgqSFSyPAI4F94NbWUEf5ZqlZ4Z8W/8GpqKSNL/jEQWzKLs0LAIAFLDdEgXo5chQD+oYhLAvjnkj574x8OuCTgxr98P9rNQOzSFPaGQAQE3DTECMCSYioC+JcKE4sKIoB/BYHNGzayW0rgX15RuE6DgCX/GIg1Kk4MCECgLAFLDZEyhkcA/8KrqaWM8M9StcI7K/6FV1NLGVnyj4HYklmcFQIGCVhqiAbxcuQqBPAPRVwSwD+X9Nkb/3DAJQFL/jEQuzSFvSEQAQFLDTGCckSXIv5FV3KvEsY/r8oR3WHwL7qSe5WwJf8YiL1Sh8NAIDwClhpiePTJCP9wwCUB/HNJn73xDwdcErDkHwOxS1PYGwIRELDUECMoR3Qp4l90JfcqYfzzqhzRHQb/oiu5Vwlb8o+B2Ct1OAwEwiNgqSGGR5+M8A8HXBLAP5f02Rv/cMAlAUv+MRC7NIW9IRABAUsNMYJyRJci/kVXcq8Sxj+vyhHdYfAvupJ7lbAl/5wNxPl+NtmrOnMYCEAgBQFLDTFFOiwxRgD/jBUssOPiX2AFNZYO/hkrWGDHteSfs4E4sJqTDgQgUIaApYZIEcMjgH/h1dRSRvhnqVrhnRX/wquppYws+cdAbMkszgoBgwQsNUSDeDlyFQL4hyIuCeCfS/rsjX844JKAJf+CGIibW6rd4LLi7A0BCJQlYKkhUsbwCOBfeDW1lBH+WapWeGfFv/BqaikjS/4FMRBbkoOzQiA2ApYaYmy1iSFf/Iuhyv7miH/+1qbsyQK6yQ3+GfQvoCNb8o+BOCDxSAUCPhKw1BB95MeZaiOAf7Xx4+raCOBfbfy4ujYC+FcbP66ujYAl/xiIa6s1V0MAAlUIWGqIFDM8AvgXXk0tZYR/lqoV3lnxL7yaWsrIkn8MxJbM4qwQMEjAUkM0iJcj8w8yOOAxAfqfx8WJ4Gj4F0GRPU7Rkn8MxB6LxNEgEAIBSw0xBN7k0JYA/mGESwL455I+e+MfDrgkYMk/BmKXprA3BCIgYKkhRlCO6FLEv+hK7lXC+OdVOepzGI9uyoV/9Sk5u5QmYMk/BmIshgAECiVgqSEWCoLgTgjgnxPsbLqdAP6hgksC+OeSPntb8o+BGF8hAIFCCVhqiIWCILgTAvjnBDubMhDjgAcE6H8eFCHiI1jyj4E4YlFJHQL1IGCpIdaDB3vUlwD+1Zc3u7UlgH8Y4ZIA/rmkz96W/GMgxlcIQKBQApYaYqEgCO6EAP45wc6mvEOMAx4QoP95UISIj2DJPwbiiEUldQjUg4ClhlgPHuxRXwL4V1/e7MY7xDjgDwH6nz+1sHES3TvCWfKPgdiGoZwSAmYJWGqIZiFz8LIE8A85XBLAP5f02Rv/cMAlAUv+MRC7NIW9IRABAUsNMYJyRJci/kVXcq8Sxj+vyhHdYfAvupJ7lbAl/xiIvVKHw0AgNAJN8sADU1uTamxsDC058jFAwNITsgGcHDEjAfzLCIzlqgTwTxUnwTISsOQfA3HG4rIcAhDIRsBSQ8yWGastEMA/C1UK94z4F25tLWSGfxaqFO4ZLfnHQByuh2QGAS8IWGqIXgDjEKoE8E8VJ8EyEsC/jMBYrkoA/1RxEiwjAUv+MRBnLC7LIQCBbAQsNcRsmbHaAgH8s1ClcM+If+HW1kJm+GehSuGe0ZJ/DMThekhmEPCCgKWG6AUwDqFKAP9UcRIsIwH8ywiM5aoEYvSvuYVggypFguUlYMk/BuK8VeY6CEAgFQH/G6Lu7+6lgsKiuhHw37+6oWAjBwTwzwF0ttxJAP+QwSUBS/4xELs0hb0hEAEBSw0xgnJElyL+RVdyrxLGP6/KEd1h8C+6knuVsCX/GIi9UofDQCA8ApYaYnj0yQj/cMAlAfxzSZ+98Q8HXBKw5B8DsUtT2BsCERCw1BAjKEd0KeJfdCX3KmH886oc0R0G/6IruVcJW/KPgdgrdTiMdwT4emnNJbHUEGtOlgDeEcA/70oS1YHwL6pye5cs/nlXkqgOZMk/BuKo1PQjWWZMP+pQr1NYaoj1YsI+9SOAf/VjzU7tCeAfVrgkgH8u6bO3Jf8YiPEVAhAolIClhlgoCII7IYB/TrCz6XYC+IcKLgngn0v67G3JPwZifIUABAolYKkhFgqC4E4I4J8T7GzKQIwDHhCg/3lQhIiPYMk/BuKIRSV1CNSDgKWGWA8e7FFfAvhXX97s1pYA/mGESwL455I+e1vyj4EYXyEAgUIJWGqIhYIguBMC+OcEO5vyDjEOeECA/udBESI+giX/GIgjFpXUIVAPApYaYj14sEd9CeBffXmzG+8Q44A/BOh//tQixpNY8o+BOEZDyRkCdSRgqSHWEQtb1YkA/tUJNNuUJIB/iOGSAP65pM/elvxjIMZXCECgUAKWGmKhIAjuhAD+OcHOptsJ4B8quCSAfy7ps7cl/xiI8RUCECiUgKWGWCgIgjshgH9OsLMpAzEOeECA/udBESI+giX/GIgjFpXUIVAPAhUbYlPLCTrU4xTsESsBS0/IsdYo5LzxL+Tq+p8b/vlfo5BPaMk/BuKQTSQ3CHhAYEdD9OAoHAECEIAABCAAAQhAoI4EGhsb67hbvq3MDMTNLfk15MuRqyAAAYcEGIgdwmdrCEAAAhCAAAQg4JAAA7FD+GwNAQj4QcDSR2b8IMYpNAngnyZNYmUlgH9ZibFekwD+adIkVlYClvwz8w5x1iKwHgIQ8IOApYboBzFOoUkA/zRpEisrAfzLSoz1mgTwT5MmsbISsOQfA3HW6rIeAhDIRMBSQ8yUGItNEMA/E2UK9pD4F2xpTSSGfybKFOwhLfnHQByshiQGAT8IWGqIfhDjFJoE8E+TJrGyEsC/rMRYr0kA/zRpEisrAUv+MRBnrS7rIQCBTAQsNcRMibHYBAH8M1GmYA+Jf8GW1kRi+GeiTMEe0pJ/DMTBakhiEPCDgKWG6AcxTqFJAP80aRIrKwH8y0qM9ZoE8E+TJrGyErDkHwNx1uqyHgIQyETAUkPMlBiLTRDAPxNlCvaQ+BdsaU0khn8myhTsIS35x0AcrIYkVp0Av25dnVHtKyw1xNqzLREBzQrBmjZo9P6lBcW6QgjgXyFYCZqSAP6lBMWyQghY8o+BuBAFCAoBCOwgYKkhUrXwCOBfeDW1lBH+WapWeGfFv/BqaikjS/4xEFsyi7NCwCABSw3RIF6OXIUA/qGISwL455I+e+MfDrgkYMk/BmKXprA3BCIgYKkhRlCO6FLEv+hK7lXC+OdVOaI7DP5FV3KvErbkHwOxV+pwGAiER8BSQwyPPhnhHw64JIB/LumzN/7hgEsClvxjIHZpCntDIAIClhpiBOWILkX8i67kXiWMf16VI7rD4F90JfcqYUv+MRB7pQ6HCZZAU0tmHYLNrmJilhpinBUKO2v8C7u+vmcXhn/cKt93z8qdLwz/rNLn3Jb8YyDGVwhAoFAClhpioSAI7oQA/jnBzqbbCeAfKrgkgH8u6bO3Jf8YiPEVAhAolIClhlgoCII7IYB/TrCzKQMxDnhAgP7nQREiPoIl/xiIIxaV1CFQDwKWGmI9eLBHfQngX315s1tbAviHES4J4J9L+uxtyT8GYnyFAAQKJWCpIRYKguBOCOCfE+xsyjvEOOABAfqfB0WI+AiW/GMgjlhUUodAPQhYaoj14MEe9SWAf/XlzW68Q4wD/hCg//lTixhPYsk/BuIYDSVnCNSRgKWGWEcsbFUnAvhXJ9BsU5IA/iGGSwL455I+e1vyj4EYXyEAgUIJWGqIhYIguBMC+OcEO5tuJ4B/qOCSAP65pM/elvxjIMZXCECgUAKWGmKhIAjuhAD+OcHOpgzEOOABAfqfB0WI+AiW/GMgjlhUUodAPQhYaoj14MEe9SWAf/XlzW5tCeAfRrgkgH8u6bO3Jf8YiPEVAhAolIClhlgoCII7IYB/TrCzKe8Q44AHBILtf80tcBs8AGzhCA5ZWfKPgdiCzJzxCwSaWv7/DhAxRMBSQzSElaOmJIB/KUGxrBAC+FcIVoKmJIB/KUGxrBAClvxjIC5EAYJCAAI7CFhqiFQtPAL4F15NLWWEf5aqFd5Z8S+8mlrKyJJ/DMSWzOKsEDBIwFJDNIiXI1chgH8o4pIA/rmkz974hwMuCVjyj4HYpSnsDYEICFhqiBGUI7oU8S+6knuVMP55VY7oDoN/0ZXcq4Qt+cdA7JU6HAYC4RGw1BDDo09G+IcDLgngn0v67I1/OOCSgCX/GIhdmsLeEIiAgKWGGEE5oksR/6IruVcJ459X5YjuMPgXXcm9StiSfwzEO9Vxd19y7pvs1d9fDqNMwFJDVE6dcB4QwD8PihDxEfAv4uJ7kDr+eVCEiI9gyT8G4ohFJXUI1IOApYZYDx7sUV8C+Fdf3uzWlgD+YYRLAvjnkj57W/KPgTh4X9298x08WhJMRcBSQ0yVEItMEcA/U+UK7rD4F1xJTSWEf6bKFdxhLfnHQBycfiQEAb8IWGqIfpHjNBoE8E+DIjHyEsC/vOS4ToMA/mlQJEZeApb8YyDOW2WugwAEUhGw1BBTJcQiUwTwz1S5gjss/gVXUlMJ4Z+pcgV3WEv+MRAHpx8JQcAvApYaol/kOI0GAfzToEiMvATwLy85rtMggH8aFImRl4Al/xiI81aZ6yAAgVQELDXEVAmxyBQB/DNVruAOi3/BldRUQvhnqlzBHdaSfwzEwelHQhDwi4ClhugXOU6jQQD/NCgSIy8B/MtLjus0COCfBkVi5CVgyT8G4rxV5joIQCAVAUsNMVVCLDJFAP9MlSu4w+JfcCU1lRD+mSpXcIe15B8DcXD6kRAE/CJgqSH6RY7TaBDAPw2KxMhLAP/ykuM6DQL4p0GRGHkJWPKPgThvlbkOAhBIRcBSQ0yVEItMEcA/U+UK7rD4Z6OkTS3H7GDjqJlOiX+ZcLFYmYAl/xiIlYtPOAhAoC0BSw2R2oVHAP/Cq6mljPDPUrXCOyv+hVdTSxlZ8o+B2JJZnBUCZQj4/K/blhoigoVHAP/Cq6mljPDPUrXCOyv+hVdTSxlZ8o+B2JJZnBUCBglYaogG8XLkKgTwD0VcEsA/l/TZG/9wwCUBS/4xELs0hb0hEAEBSw3RZTk+/fRTee+99+Tdd99t/W/r1q3SqVMnOfjgg6VHjx6t/3Xt2lW+9KUvuTymub3xL3/JFi5cKB999FG7ACeddJJ06dIlf+CIrsS/dMWm/6XjlHUV/mUltms9/S8/ux1XWvKPgbj2ehMBAhCoQMBSQ6x3IV999VX5yU9+IkuWLJGVK1em2v7iiy+WESNGyOmnny577LFHqmtiXoR/+aqf/INMx44dS148a9YsufDCC/MFjuwq/CtfcPpf8X8Z8C8fY/pfPm67X2XJPwZinZoTBQIQKEPAUkOsVxHfeOMNGT9+vMyePTv3lj179pRRo0bJVVddJfvtt1/uOKFfiH/5Kjxv3jwZMGAAA3E+fDuvwr/2AOl/NUqV4XL8ywDrC0vpf/m4MRDrcCMKBCAQIAGekHcVdf369XL99dfLzJkz1Sp96KGHypw5c+Too49WixlSIPzLV83rrrtO7rzzTgbifPgYiEtwo//VKFOOy+l/OaC1XEL/y8eNgViHG1EgAIEACfCE/HlRP/zwQznttNNk2bJlhVSZj7GWxop/2XX7+OOPpXv37rJ582YG4uz42lyBf/S/GhWq6XL8y46P/pedWbkrLPnHR6b16k4kCECgBAFLDbGoAiZPsN/5zndkwYIFRW3RGjf5GPa4ceMK3cNacPzLXrGpU6fKyJEjy17IP76kZ4p/IvS/9L5or8S/7ETpf9mZMRDrMSMSBCAQKIHYn5A/++wzGTx4sDzzzDN1qfBvf/tb+e53v1uXvSxsErt/WWv0l7/8RY488kjZsGEDA3FWePyDYDsC9D8FiWoIQf/LBo/+l41XtdWW/OMd4mrV5M8hAIGaCFhqiDUlWubiYcOGZfrO8LnnniuHHXaYJDfNSu50uXr1annzzTflj3/8Y6rjde7cWd555x3p1q1bqvWhL9L2r7kFWEOg0JqammTo0KGSvANc6cE7xOkF0PYv/c5+rKT/ua1D7P5loU//y0Ir3VpL/jEQp6spqyAAgZwELDXEnCmWvezll1+WU089tWrYZIgdM2ZM68dUk98aLvV4++235Z577pH77ruvarxzzjlH5s6dKw0NoY5uVRHsXBCzf+kpSev3hS+77DL51a9+VfUyBuKqiPCvhQD9L70nRa2k/6UjS/9LxynrKkv+MRBnrS7rIQCBTAQsNcRMiaVYfNZZZ8lzzz1XcWXfvn3l2Wefla997WspIoq8+OKL8u1vf7vq2unTp8vw4cOrrgt9Qcz+pantqlWr5Be/+IX89Kc/LXsTrd3jMBCnIfv5mpj9o/+l96SolTH7l4Yp/S8NpfxrLPlX20Ac8mfH8tffzZVNLdt2cLM1u0KgEgFLDVGzkgsXLpSTTz65Ysjjjz9efve738kBBxyQaes0sZNBO/modYcOcTeGWP0rJVTyfc7kkwbJnc6XLl0qTz/9tCxfvjyTe8liBuL0yGL1L02Pov+l9yjvylj9o//lNUb3Okv+1TYQ63IjGgQgECABSw1RE//ZZ59d9UZab731lhxxxBG5tr3rrrvk2muvrXht8u50cnfrmB+x+rej5j/84Q9bh98VK1bI2rVrVVRgIE6PMVb/6H/pHSlyZaz+0f+KtCp9bEv+MRCnrysrIQCBHAQsNcQc6ZW8JM27I7feeqvceOONubf85JNPpE+fPhXvBpx8lzh5FzDmR4z+fbHevXr1UhuEd8RlIE7/NypG/+h/6f0oemWM/tH/irYqfXxL/jEQp68rKyEAgRwELDXEHOmVvCS5OdGMGTPKhktunLVmzRrZa6+9atrywQcflCuuuKJijHXr1kmPHj1q2sfyxTH6xwtCf4yN0T/6H/75QoB/EHRbCUv9j4HYrSvsDoHgCVhqiFrFSH7yqNLvuI4dO1YmTJhQ83abNm2SAw88sGKcX/7yl60/pRPrI0b/GIj9sT1G/+h/+OcLAQZit5Ww1P8YiN26wu4QCJ6ApYaoUYx333239XeEKz2SGxkdfvjhGtvJmWeeKfPnzy8b6/LLL5fkneRYHzv8G9nYGOzvB1eqLS8I3ZpP/2vPn/5XPydj8293svS/+rlWaidL/jEQu3WF3SEQPAFLDVGjGDNnzpRhw4aVDdW/f3955ZVXNLZqjXHvvffK6NGjy8ZLPp79wQcfRPubxLH5xwtCtb9aKoFi84/+p6KNWpDY/KP/qamjEsiSfwzEKiUnCAQgUI6ApYaoUcXkO72V3pG9+eabZeLEiRpbtcZI7iB8wgknVIxXy92s1Q7qKFBs/u2OOflZr40bN2aiP27cOFm5cmXZa7ipVnqcsflH/0vvRj1WxuYf/a8eVqXfw5J/DMTp68pKCEAgBwFLDTFHeu0uqfYRreSuz8ndn7UeW7dulY4dO1YMN3fuXBk0aJDWlqbixOafRnHOO+88SZwp92AgTk85Nv/of+ndqMfK2PzTYEr/06D4eQxL/jEQ69WdSBCAQAkClhpirQVcvXp1608hVXqsX79eko8xaz6Sd4iTd4rLPe6++275wQ9+oLmlmVgx+adVFF4QapG09YKw1qzpf7US1L+e/pedKf0vO7NyV1jyr8RA3NSSVwc9GkSCAASiJmCpIdZaqEcffbTiHZ179uzZ+nNL2o/GlhtGTZkypWzY5DvGkydP1t7WRLyY/NMqCC8ItUjGNRDT//S80YqUrv81t2zXoLWl+Tj0P70SpvNPb79aIvEOcS30uBYCEKhKwFJDrJpMlQV33HGHXH/99WVXnXHGGTJv3rxat2l3/Y9//GNJvptc7jFw4EB59tln1fe1EDAm/7TqwQtCLZJxDcT0Pz1vtCLR/7KTpP9lZ1buCkv+MRDr1Z1IEIBACQKWGmKtBbzppptk0qRJZcOMGDFCpk6dWus27a6fMWOGXHbZZWXjHnrooZL8HFSMj5j806ovLwi1SMY1ENP/9LzRikT/y06S/pedGQOxHjMiQQACgRKI6Ql51KhRcv/995et5Pjx4yW5g6/2I7mTcPIucLlH586d5aOPPtLe1kS8mPzTKggvCLVIxjUQ0//0vNGKRP/LTpL+l50ZA7EeMyJBAAKBEojpCXnIkCEye/bsspWcNm1axXdy8yqwbNkyOfbYYyte3tycfE8svkdM/mlVlxeEWiTjGojpf3reaEWi/2UnSf/LzoyBWI8ZkSAAgUAJxPSEfOaZZ8r8+fPLVvKpp56Sc889V73SycehDzvssIpxP/vsM9lzzz3V9/Y9YEz+adWCF4RaJOMaiOl/et5oRaL/ZSdJ/8vOjIFYjxmRIACBQAnE9IScvEubvFtb7vH73/9eBgwYoF7pdevWSXIH60qPv/71r9KlSxf1vX0PGJN/WrXgBaEWybgGYvqfnjdakeh/2UnS/7IzYyDWY0YkCEAgUAIxPSF369ZNNmzYULaSL774onzzm99Ur/Sf//xnOeiggyrGff/996V79+7qe/seMCb/tGrBC0ItknENxPS/Hd748zNG9L/sf5fpf9mZMRDrMSMSBCAQKIGYnpAbGir/luOiRYvkxBNPVK/05s2b5Stf+UrFuKtWrZI+ffqo7+17wJj806oFLwi1SMY1ENP/9LypOdL2mZz+l50k/S87MwZiPWZEggAEAiUQyxPyJ598Ip06dapYxddee02OOeYY9Uond5Cu9nHotWvXysEHH6y+t+8BY/FPsw68INSjGYt/9D89ZzQjxeKfJjP6nx5NS/7xO8R6dXcSqall1w5OdmZTCKQjYKkhpsuo9KpPP/1U9t5774ohXn/9dTnqqKNq2abktRs3bpSuXbtWjLtp0ybZf//91ff2PWAs/mnWgReEejRj8Y/+p+eMZqRY/NNkRv/To2nJPwZivboTCQIGCNT/n1AsNcRaC1jtI4NLly6V4447rtZt2l2/Zs0a6d27d8W4W7ZsqfoOtvrBPAgYk39auHlBqEWSj0x/kST9T8+rtJHof2lJ7VpH/8vOrNwVlvxjINarO5EgAIESBCw1xFoLmHyPN/k+b7nHK6+8Iv379691m3bXr1ixQg4//PCKcbdt2yYdOsT3eZKY/NMSixeEWiTjGojpf3reaEWi/2UnSf/LzoyBWI8ZkSAAgUAJxPSEXO0uqy+88IJ861vfUq/0n/70p6rfTW5uTu6yEt8jJv+0qssLQi2ScQ3E9D89b7Qi0f+yk6T/ZWdWdSC+otH773fyDrFe3YkEAQiUIBDTE/IRRxwhy5cvL+vBnDlzJHmy1X4sXrxY+vXrVzZs8v3i9evXa29rIl5M/mkVhBeEWiTjGojpf3reaEWi/2UnSf/LzqzqQNzYMhB7/mAg9rxAHA8C1gnE9IR8wgknSPI9uUpPDiNHjlQv6dy5cysO2qeeeqq89NJL6vtaCBiTf1r14AWhFsm4BmL6n543WpHof9lJ0v+yM2Mg1mNGpOgI1P/mTtEh9iThmJ6QBw8eLMm7wOUeEyZMkLFjx6pX5t5775XRo0eXjXvppZfKjBkz1Pe1EDAm/7TqwQtCLZKlBuLtPxCrt0X9IlV52qb/1a8UaXei/6UltWsd/S87MwZiPWZEggAEAiUQ0xPyDTfcILfddlvZSl555ZVy3333qVd6zJgxcvvtt5eNO378eBk3bpz6vhYCxuSfVj14QahFMq53iOl/et5oRaL/ZSfpc/+z9s9plvzjI9PZ/65wBQQgkIGApYaYIa2SS6dOnSqVPhJd1EeXhwwZIrNnzy57/OnTp8vw4cNrTc/k9TH5p1Ugn18QauVYrzgx+Uf/q5dV6feJyb/0VCqvpP9pkbT1D4IMxHp1JxIEIFCCQExPyM8//7ycfvrpFT0o4uePqn13b8GCBXLKKadE6WdM/mkVmBeEWiRtvSCsNWv6X60E9a+n/2VnSv/LzqzcFZb8YyDWqzuRIBAFgazf/rbUEGst4Jo1a6R3794VwyS/Gfz1r3+91q12Xr9lyxbZd999K8ZL1nTq1EltT0uBYvJPqy68INQiGddATP/T80YrEv0vO0n6X3ZmDMR6zIgEAQgESiCmJ+SmpibZb7/9ZPPmzWWr+dBDD8mwYcPUqj1v3jwZMGBA2XhFfUxbLYGCA8XknxZKXhBqkYxrIKb/6XmjFSlv/7P2XVUtXj8q0TQAACAASURBVEkc+p8ezbz+6Z0gfSTeIU7PipUQgEAOApYaYo702l2SDLszZ84sGyr5vu9jjz2msVVrjFtuuUWSu1eXe9x8880yceJEtf2sBYrNP4368IJQg+LnMWLzj/6n545GpNj802BG/9OgaK//MRDr1Z1IEIBACQKxPSE/8sgjcskll5R1oXPnzrJ+/Xrp2LGjii/9+vWTxYsXl431zDPPyFlnnaWyl8UgsfmnUSNeEGpQtPeCUCNr+p8GRb0Y9L/sLOl/2ZmVu8KSfwzEenUnEgQgwEAs77//vvTo0aOiC/fff798//vfr9mXJUuWyIknnli34bvmAzsIYOkJ2QGeklvyglCvErH5R//Tc0cjUmz+aTCj/2lQtPcPggzEenUnEgQgYHIgznqbsOplrnbX5549e8rKlStlzz33rB6swooLLrhAnnjiibIrRo8eLZMnT65pD+sX84IwewV5QZidWQjvkGhlTf/TIll7HPpfdob0v+zMQuh/DMR6dScSBCBgciDWL9uUKVOksbGxYuDke8aVPlpd7VSvvvqqHH/88RWXLVy4UE466aRqoYL+c14QZi8vLwizMwvhBaFW1vQ/LZK1x6H/ZWdI/8vOLIT+x0CsV3ciQQACDMStBD7++GPp3r17xbtNd+3aVZKPPPfq1SuzN5s2bZLku8PJu8zlHn379pW33347c+zQLuAFYfaK8oIwO7MQXhBqZU3/0yJZexz6X3aG9L/szELofwzEenUnEgQgwEC8k0ByZ+dx48ZVdOIb3/iGvPzyy9KlS5fU7mzdulXOOeccmT9/fsVr5s6dK4MGDUodN9SFvCDMXlleEGZnFsILQr2spfXO9vQ/TaL5YtH/snOj/2VnFkL/YyDWqzuRIAABBuKdBDZs2CDdunWr6sQZZ5zR+jNN1W7ElQRasWKFXHTRRbJ06dKKcc8//3x58sknq+4dwwJeEGavMi8IszMr+4Lw5w+INEjVr1Do7ehHJPqfH3Wg/2WvA/0vOzMGYj1mRIIABAIlEPMT8rRp02TEiBGpKvujH/1IrrnmGtlnn33arV+9erU89NBDrb85nOaxatUq6dOnT5qlwa+J2b+8xeUFYV5y7a+L2T/6n55HeSPF7F9eZvS/vOT86H/NLcdo+TfIzA/eIc6MjAsgAIEsBGJ/Qk7e0Z01a1ZqZMnPKB111FHS3NwsDQ0N8s4778iCBQtSXz9p0iS54YYbUq8PfWHs/uWpLy8I81ArfU3s/tH/9FzKEyl2//Iwo//loWa//zEQ69WdSBCAQAkCsT8hf/jhh3LMMcfI2rVrC/ejf//+8vzzz8uXv/zlwveyskHs/uWpEy8I81Cz/4JQL+tdkeh/RVBNH5P+l57VjpX0v+zMyl1hyT8GYr26EwkCEGAgLulA8vNHJ598cqF+DBw4UB5//HHZd999C93HWnBLT8i+sOUFoV4l8E+E/qfnU9ZI+JeVmAj9LzszBmI9ZkSCAAQCJcAT8ueFfeuttyS52dXy5cvVKz1kyBB5+OGHeWeYf5BRcYsXhCoYW4PQ/+h/ejZlj4R/2ZnR/7IzYyDWY0YkCEAgUAI8Ie8q7N/+9je59NJLZc6cOWrVHj16tNx9992yxx57qMUMKRD+Za8mLwizMwvhBaFe1qUj0f/0CDe1hOqQIhz9LwWk3ZbQ/7IzC6H/8ZFpvboTCQIQKEGAJ+S2UJqammTGjBlyzz33yLJly3I7k9y9Orkr9dFHH507RgwX4l/2Kg8dOlQeffTRshc+/fTTrb+FzaM6Afyj/1W3pLgV+JedLf0vOzMGYj1mRIIABAIlwBNy+cIuWrRIpk6dKlOmTElV/Z49e8qwYcPk6quvTvW7xamCBr4I/wIvsOfp4R/9z6Wi+OeSPntb8o93iPEVAhAolIClhlgoiArBt23bJhs2bJB169a1/pfckTr5eOFXv/pVOeSQQ6R3797Sq1cvviOco0D4lwMal6gRwL/qKOl/1RnlXYF/eclxXc0EWn4Q+IEpD7SGaWxsrDlc0QEYiIsmTHwIRE6AJ+TIBXCcPv45LkDk2+Nf5AI4Th//HBcg8u0t+cdAHLmspA+BoglYaohFsyB+/QngX/2Zs+MuAviHDS4J4J9L+uxtyT8GYm1fWz4iIA3aQYkHATsEdr/7paWGaIcyJ01LAP/SkmJdEQTwrwiqxExLAP/SkmJdEQQs+cdAXIQBxIQABHYSsNQQKVt4BPAvvJpaygj/LFUrvLPiX3g1tZSRJf8YiC2ZxVkhYJCApYZoEC9HrkIA/1DEJQH8c0mfvfEPB1wSsOQfA7FLU9gbAhEQsNQQIyhHdCniX3Ql9yph/POqHNEdBv+iK7lXCVvyj4HYK3U4DATCI2CpIYZHn4zwDwdcEsA/l/TZG/9wwCUBS/4xELs0hb0hEAEBSw0xgnJElyL+RVdyrxLGP6/KEd1h8C+6knuVsCX/GIi9UofDQCA8ApYaYnj0yQj/cMAlAfxzSZ+98Q8HXBKw5B8DsUtT2BsCERCw1BAjKEd0KeJfdCX3KmH886oc0R0G/6IruVcJW/KPgdgrdTgMBMIjYKkhhkefjPAPB1wSwD+X9Nkb/3DAJQFL/tkdiJtaStzBZZnZGwIQSEPAUkNMkw9rbBHAP1v1Cu20+BdaRW3lg3+26hXaaS35Z3cgDs0a8oFAoAQsNcRASxB1WvgXdfmdJ49/zksQ9QHwL+ryO0/ekn8MxM514QAQCJuApYYYdiXizA7/4qy7L1njny+ViPMc+Bdn3X3J2pJ/DMS+WMM5IBAoAUsNMdASRJ0W/kVdfufJ45/zEkR9APyLuvzOk7fkHwOxc104AATCJmCpIYZdiTizw7846+5L1vjnSyXiPAf+xVl3X7K25B8DsS/WcA4IBErAUkMMtARRp4V/UZffefL457wEUR8A/6Iuv/PkLfnHQOxcFw4AgbAJWGqIYVcizuzwL866+5I1/vlSiTjPgX9x1t2XrC35x0DsizWcAwKBErDUEAMtQdRp4V/U5XeePP45L0HUB8C/qMvvPHlL/jEQO9eFA0AgbAKWGmLYlYgzO/yLs+6+ZI1/vlQiznME4V9zS+0a4qyf9awt+cdAbN02zg8BzwlYaoieo+R4OQjgXw5oXKJGAP/UUBIoBwH8ywGNS9QIWPKPgVit7ASCAARKEbDUEKlgeATwL7yaWsoI/yxVK7yz4l94NbWUkSX/GIgtmcVZIWCQgKWGaBAvR65CwLZ/fFbQuuC2/bNO36/zN7Ucp0Odj4R/dQbOdm0IWPKPgRh5IQCBQglYaoiFgiC4EwL45wQ7m24ngH+o4JIA/rmkz96W/GMgxlcIQKBQApYaYqEgCO6EAP45wc6mDMQ44AEB+p8HRYj4CJb8YyCOWFRSh0A9CFhqiPXgwR71JYB/9eXNbm0J4B9GuCSAfy7ps7cl/xiI8RUCECiUQLqGyHclCy1C5uDh1COdf5kBcQEEUhHAv1SYWFQQAfwrCCxhUxGw5B8DcaqS6i568803ZcyYMVWD7rHHHjJr1izZc889q64tteB///d/ZciQIbJt27aK1yf7TJkyRQ488MBc+3ARBCoRsNQQqWR4BPAvvJpaygj/LFUrvLPiX3g1tZSRJf8YiB2YlXYgTo524403ysknn5zrlIsXL5aJEyemuva2226TI488MtXa6otc3Eux+qlY4YaApYbohhC7FkkA/4qkS+xqBPCvGiH+vEgC+FckXWJXI2DJv7YDMXNMtdqq/HmWgTgZhpOhOM/jrrvukv/5n/9JdanuQJxqSxZFQsBSQ4ykJFGliX9Rldu7ZPHPu5JEdSD8i6rc3iVryT/eIXagT5aBOPk48+OPPy7J/83yaG5ulosuuki2bt2a6jIG4lSYWJSDgKWGmCM9LvGcAP55XqDAj4d/gRfY8/Twz/MCBX48S/5FPRC7ekM8y0Cc/F35j//4Dzn++OMz/bVZvny5XHfddamvYSBOjYqFGQlYaogZU2O5AQL4Z6BIAR8R/wIuroHU8M9AkQI+oiX/oh6IXTmYdSA+7bTT5Nprr8103OnTp8sTTzyR+hoG4tSoWJiRgKWGmDE1lhsggH8GihTwEfEv4OIaSA3/DBQp4CNa8o+B2IGIWQfivfbaS2bPni0NDQ2pTztixAjZuHFj6vUMxKlRsTAjAUsNMWNqLDdAAP8MFCngI+JfwMU1kBr+GShSwEe05B8DsQMRsw7EyRFvvfVWOfroo1OddsOGDXLFFVeUXJt8F7nUzzAxEKdCy6IcBCw1xBzpcYnnBPDP8wIFfjz8C7zAnqeHf54XKPDjWfKPgdiBjOUG4t69e8t7771X8kQDBw6Uq6++OtVpn3zySZk2bVrJtclPKyX77/5gIE6FlkU5CFhqiDnS4xLPCeCf5wUK/Hj4F3iBPU8P/zwvUB2P19yyV/rPmeoczJJ/DMQ6Nc8UpdxAfMghh7S+e7t27dp28Tp16iSPPvpoqn2S7xuvWLGi3drk3eEBAwbIc889x0CciiSLNAhYaoga+RLDLwL451c9YjsN/sVWcb/yxT+/6hHbaSz5x0DswM5yA3Hnzp3ln//5n+Xhhx8ueao77rhD+vbtW/HEW7ZskaFDh5Zcc8opp8j//d//yaJFixiIHdTdypbad1+31BCt1IhzpieAf+lZsVKfAP7pMyViegL4l54VK/UJWPKPgVi//lUjVvoO8dSpU8t+//e8884r+2c7Nn3++eflP//zP0ue4aabbmp9l3nlypUMxFWrxAItApYaolbOxPGHAP75U4sYT4J/MVbdn5zxz59axHgSS/4xEDswtNJAnNxN+t/+7d/k/fffb3eyLl26yMyZMyueeMKECbJkyZJ2a5KPS8+aNat1oP7www9NDsQuvv/gQI/gtrTUEIODT0KCf0jgkgD+uaTP3iH7x2tC//225B8DsQOfqr1DPG/ePPnv//7vkiebPHmyJN81LvVIvn/8ve99r+RdpE844QS55ZZbWj+SHc1dprU/++vAlRC2tNQQQ+BNDm0J4B9GuCSAfy7pszf+4YBLApb8YyB2YEqlgTj5nvA+++wjo0aNKnmyZOAdNmxYyT979dVXW4feUo/rrrtOku8QX3DBBSX/nLtMOxAhki0tNcRIShJVmvgXVbm9Sxb/vCuJ4oH8f48S/xTLTajMBCz5x0Ccuby1X1BpIB47dqyceOKJMmLECNm4cWO7zQ466CB58MEHSx7iZz/7mfzhD38o+WfJx6U3b97cGrfUg4G49roSoTQBSw2RGoZHAP/Cq6mljPDPUrXCOyv+hVdTSxlZ8o+B2IFZlQbif/3Xf5V/+qd/ar3T9OOPP17ydIlg3bt3b/dnF198sXz88cft/vdjjz1WJk6cKG+//bZcf/31DMQOah7zlpYaYsx1CjV3/Au1sjbywj8bdQr1lPgXamVt5GXJPwZiB05VGogvueQSGTJkiKxevVqS4bjU41/+5V/koosuavNHyZ2jr7nmmpLrk5t0Jb8//Morr8ikSZMYiB3UPOYtLTXEmOsUau74F2plbeSFfzbqFOop8S/UytrIy5J/DMQOnKo0EA8aNEgaGxtbT3XppZeWvCP0wQcfLPfdd1+bkyd3n07uUF3qkdygK/le8m9+8xv5+c9/zkDsoOYxb2mpIcZcp1Bzx79QK2sjL/yzUadQT4l/oVbWRl6W/GMgduBUpYH4H//xH+Xf//3fW081bdo0efLJJ0uecMaMGbL//vvv/LOrrrpK1q5d227t3//938vtt9/e+r9X+hh2bN8hfvrpp2XOnDkOqt9+y/PPP1+SfwgJ9WGpIYZag5jzwr9Iqu/p/Y3wLxL/PE0T/zwtTCTHsuQfA7EDKSsNxDu+75scq9LHoEeOHCnnnntu6+mTm2UlH6Mu9bjyyivl7LPPbv2jSjfdim0gTv5B4de//rWD6rffMrnz9/Dhw704SxGHsNQQi8g/X0xPX93nS8bpVfjnFH/0m+Nf9Ao4BYB/TvFHv7kl/xiIHehaaSA+9NBD5e677955qmTQTQbe3R+HH3643Hnnna3/8wsvvLDz/999XfJR6i5durT+z8mNtRYvXlwyYwZiByJs35KB2B17dg6fgKUn5PCrEV+G+BdfzX3KGP98qkZ8Z7HkHwOxAz8rDcTdunWTKVOm7DxVIlPy8d5Sjx3fDU4+Ev3SSy+1W7L7cJ18FPutt95iIG4hwDvE9RPfUkOsHxV2qhcB/KsXafYpRQD/8MIlAfxzSZ+9LfnHQOzA10oDcefOneWRRx7ZeapKP5WU3FX6jDPOaL0r9datW9tlcvnll8vgwYN3/u+jRo2SdevWMRAzENfVeksNsa5g2KwuBPCvLpjZpAwB/EMNlwTwzyV99rbkHwOxA18rDcR77bVXu98fLvf7wv/wD//Q+t3T0aNHl8xi+vTpcsABB+z8s3Ifv04W8JFpByJs35KPTLtjz87hE7D0hBx+NeLLEP/iq7lPGeOfT9WI7yyW/GMgduBnpYE4Oc5TTz3V5lT33nuvPPfcc+1OmgzPyZCbDL67P3r27Cn/9V//1eZ//t73viefffZZyYxjG4gfe+yxNu/EO9CgzT9U7P670i7Po723pYaonTvx3BPAP/c1iPkE+Bdz9d3njn/uaxDzCSz5x0DswNRqA/GsWbNk77333nmyN954Q2688caSJ03Wlfq49CWXXNL6Ueodj+bmZkl+3qfcI7aBOGH23nvvOah++y179+7dpt5eHErxEJYaomLahPKEAP55UohIj4F/kRbek7Txz5NCRHoMS/4xEDuQtNpAvPtHnZNhNnkHsdTgW+74iYTdu3ff+cdbtmyRoUOHMhA7qHfsW1pqiLHXKsT88S/EqtrJCf/s1CrEk+JfiFW1k5Ml/xiIHXhVbSCePHmyHHLIIW1OlvwU0/z581Oddvc7VScXffDBB9LY2MhAnIogizQJ7GiImjGJBQEIQAACEIAABCDgP4FK84cvp2cgdlCJagPxHXfcIX379m1zstdee03Gjh2b6rTJR6WTj0x/8bFixQq59tprGYhTEWSRJgG9gbhDy7GaNI9GLAhAAAIQgAAEIACBAgkwEBcI13LoagPxpEmT5KijjmqTYlNTU+t3gsvdFOuLi5ObcPXq1avN9a+//rrcdNNNDMSWxTF6dksfmTGKmGNXIIB/6OGSAP65pM/e+IcDLglY8o93iB2YUm0gHj9+vBx33HHtTnbnnXfKCy+8UPHEf/d3fycPPfRQuzVLliyRCRMmMBA7qHfsW1pqiLHXKsT88S/EqtrJCf/s1CrEk+JfiFW1k5Ml/xiIHXhVbSC++eabpV+/fpmH2uSCwYMHy+WXX97u2pdeekluv/12BmIH9Y59S0sNMfZahZg//oVYVTs54Z+dWoV4UvwLsaoOcmpu2bMh+76W/GMgzl7fmq+oNhCPGTNGTj311Hb7bNu2TZ555pmK+5900kly0EEHtVvzhz/8QX72s58xENdcPQJkJWCpIWbNjfX+E8A//2sU8gnxL+Tq+p8b/vlfo5BPaMk/BmIHJlYbiJObX5122mmqJ3vuueck+W5xuUdsv0OsCpdgFQlYaoiUMjwC+BdeTS1lhH+WqhXeWfEvvJrWO6PkVqbJLU3zPCz5x0Ccp8I1XlNtIL766qtl4MCBNe7S9vLf/OY38vOf/5yBWJUqwdIQsNQQ0+TDGlsE8M9WvUI7Lf6FVlFb+eCfrXqFdlpL/jEQO7Cv2kCc3J580KBBqiebO3euTJkyhYFYlSrB0hCw1BDT5MMaWwTwz1a9Qjst/oVWUVv54J+teoV2Wkv+MRA7sK/aQJzcFCu5OZbm48knn5Rp06YxEGtCJVYqApYaYqqEWGSKAP6ZKldwh8W/4EpqKiH8M1Wu4A5ryT8GYgf6MRA7gL7blgsXLpQFCxa4P0jLCZIbqPXv39+LsxRxCEsNsYj8iemWAP655R/77vgXuwFu88c/t/xj392SfwzEDmxlIHYAfbctZ8yYIb/+9a/dH6TlBBdccIEMHz7ci7MUcQhLDbGI/InplgD+ueUf++74F7sBbvPHP7f8Y9/dkn8MxA5sZSB2AJ2B2Bl0Sw3RGSQ2LowA/hWGlsApCOBfCkixLsn5265ZcOFfFlqs1SZgyT8GYu3qp4jHQJwCUsFLeIe4YMBfCG+pIdaPCjvViwD+1Ys0+5QigH944ZIA/rmkz96W/GMgduArA7ED6LxD7Ay6pYboDBIbF0YA/wpDS+AUBPAvBSSWFEYA/wpDS+AUBCz5x0CcoqDaSxiItYlmj8c7xNmZ5b3CUkPMmyPX+UsA//ytTQwnw78Yquxvjvjnb21iOJkl/xiIHRjJQOwA+m5bPvzww/L444+7P0jLCb73ve/JsGHDvDhLEYew1BCLyJ+Ybgngn1v+se+Of7Eb4DZ//HPLP/bdLfnHQOzAVgZiB9B323LDhg2yaNEi9wdpOUG/fv2ka9euXpyliENYaohF5E9MtwTwzy3/2HfHv9gNcJs//rnlH/vulvxjIHZgKwOxA+hs6YyApYboDBIbF0YA/wpDS+AUBPAvBSSWFEYA/wpDS+AUBCz5x0CcoqDaSxiItYkSz2cClhqizxw5Wz4C+JePG1fpEMA/HY5EyUcA//Jx4yodApb8YyDWqXmmKAzEmXCx2DgBSw3ROGqOX4IA/qGFSwL455I+e+MfDrgkYMk/BmIHpjAQO4DOls4IWGqIziCxcWEE8K8wtAROQQD/UkBiSWEE8K8wtAROQcCSfwzEKQqqvSTNQHze4MHSQXHjJ598UqZNm1Y24m233SZHHnmk4o6EgsDnBCw1RGoWHgH8C6+mljLCP0vVCu+s+BdeTS1lZMk/BmIHZqUZiAe3DMSaDwZiTZrEykLAUkPMkhdrbRDAPxt1CvWU+BdqZW3khX826hTqKS35x0DswEIGYgfQ2dIZAUsN0RkkNi6MAP4VhpbAKQjgXwpILCmMAP4VhpbAKQhY8o+BOEVBtZcwEGsTDTleU0tymh+erz8rSw2x/nTYsWgC+Fc0YeJXIoB/+OGSAP65pM/elvxjIHbgKwOxA+hs6YyApYboDBIbF0YA/wpDS+AUBPAvBSSWFEYA/wpDS+AUBCz5x0CcoqDaSxiItYkSz2cClhqizxw5Wz4C+JePG1fpECjev+aWgzboHJYowREo3r/gkJGQIgFL/jEQKxY+bSgG4rSkWBcCAUsNMQTe5NCWAP5hhEsC+OeSPnvjHw64JGDJPwZiB6YwEDuAzpbOCFhqiM4gsXFhBGr3j3fgdIsTF8/a/dOlT7S4COBfsfW2f5eXYvlY8o+BuFgXSkZ3MRC/+OKLcscdd5TNlt8hdiBCJFtaaoiRlCSqNPEvqnJ7lyz+eVeS2g9k6N908K/2chMhPwFL/jEQ568zV0IAAikIWGqIKdJhiTEC+GesYIEdF/8CK6ixdPDPWMECO64l/xiIA5OPdCDgGwFLDdE3dpyndgL4VztDIuQngH/52XFl7QTwr3aGRMhPwJJ/DMT568yVEIBACgKWGmKKdFhijAD+GStYYMfFv8AKaiwd/DNWsMCOa8k/BuLA5CMdCPhGwFJD9I0d56mdAP7VzpAI+QngX352XFk7AfyrnSER8hOw5B8Dcf46cyUEIJCCgKWGmCIdlhgjgH/GChbYcfEvsIIaSwf/jBUssONa8o+BODD5SAcCvhGw1BB9Y8d5aieAf7UzJEJ+AviXnx1X1k4A/2pnSIT8BCz5x0Ccv85cCQEIpCBgqSGmSIclxgjgn7GCBXZc/AusoMbSwT9jBQvsuJb8YyAOTD7SgYBvBCw1RN/YcZ7aCeBfUwvEDrWDJEIuAviXCxsXKRHAPyWQhMlFwJJ/DMS5SsxFEIBAWgKWGmLanFhnhwD+2alViCfFvxCraicn/LNTqxBPask/BuIQDSQnCHhEwFJD9AgbR1EigH9KIAmTiwD+5cLGRUoE8E8JJGFyEbDkHwNxrhJzEQQgkJaApYaYNifW2SGAf3ZqFeJJ8S/EqtrJCf/s1CrEk1ryj4E4RAPJCQIeEbDUED3CxlGUCOCfEkjC5CKAf7mwcZESAfxTAkmYXAQs+cdAnKvEXAQBCKQlYKkhps2JdXYI4J+dWoV4UvwLsap2csI/O7UK8aSW/GMgDtFAcoKARwQsNUSPsHEUJQL4pwSSMLkI4F8ubFykRAD/lEASJhcBS/4xEOcqMRdBAAJpCVhqiGlzYp0dAvhnp1YhnhT/QqyqnZzwz06tQjypJf8YiEM0kJwg4BEBSw3RI2wcRYkA/imBJEwuAviXCxsXKRHAPyWQhMlFwJJ/DMS5SsxFEIBAWgKWGmLanFhnhwD+2alViCfFvxCraicn/LNTqxBPask/BuIQDSQnCHhEwFJD9AgbR8lIoLllfUOJa/AvI0iWqxLAP1WcBMtIAP8yAmO5KgFL/jEQq5aeYBCAwO4ELDVEqhceAfwLr6aWMsI/S9UK76z4F15NLWVkyT8GYktmcVYIGCRgqSH6hnfhwoXy0UcftTvWSSedJF26dPHtuF6eB//ylwX/8rPbcSX+5WeIf/nZ4V82dp9++qm899578u6777b+t3XrVunUqZMcfPDB0qNHj9b/unbtKl/60peyBY58taX+x0AcuaykD4GiCVhqiEWzyBI/eULu2LFjyUtmzZolF154YZZw0a7Fv3ylL96/ppaDdch3OENX4V++YhXvX75zWbsK/8pX7NVXX5Wf/OQnsmTJElm5cmWq0l588cUyYsQIOf3002WPPfZIdU3Miyz5x0Acs6nkDoE6ELDUEOuAI/UW8+bNkwEDBjAQpyZWeiH+5QOIf/m47X4V/uXjiH/5uOFfdW5vvPGGjB8/XmbPnl19cZkVPXv2lFGjRslVV10l++23X+44oV9oqf8xEIduI/lBwDEBSw3RMao221933XVy5513MhDXWBT8ywcQ//JxYyDR4YZ/Ohzpf7s4rl+/jjlazQAAIABJREFUXq6//nqZOXOmDtyWKIceeqjMmTNHjj76aLWYIQWy5B8DcUjmkQsEPCRgqSH6gu/jjz+W7t27y+bNmxmIaywK/mUHiH/ZmZW7Av+ys8S/7MzwrzKzDz/8UE477TRZtmyZHtwvROJrTKWxWup/DMSF/NUgKAQgsIOApYboS9WmTp0qI0eOLHscnnzTVwr/0rPasRL/sjNjINFjhn96LOl/Isk/sHznO9+RBQsW6IEtESn5GPa4ceMK3cNacEv+MRBbs4vzQsAYAUsN0Qe0f/nLX+TII4+UDRs2MBArFAT/skHEv2y8qq3Gv2qE2v45/mXjVW117P599tlnMnjwYHnmmWeqoVL589/+9rfy3e9+VyVWCEEs+cdAHIJx5AABjwlYaoiuMTY1NcnQoUMleQe40oN3iNNXCv/Ss8K/9KzSrsS/tKRE8C89q7QrY/dv2LBhmb4zfO6558phhx0myU2zkjudr169Wt5880354x//mAp5586d5Z133pFu3bqlWh/6Ikv+MRD7YGNzyyEafDgIZ4CAPgFLDVE/+/QRk+8LX3bZZfKrX/2q6kUMxFUR7VyAf+lY4V86TllX4V86YviXjlPWVTH79/LLL8upp55aFVkyxI4ZM6b1a0rJbw2Xerz99ttyzz33yH333Vc13jnnnCNz586VhgZe2Fvyj4G4qtosgAAEaiFgqSHWkmfea1etWiW/+MUv5Kc//WnZm2jtHpuBOD1t/KvMCv/Su5RnJf7V1z/eX2jLO2b/zjrrLHnuuecqCti3b1959tln5Wtf+1qqv94vvviifPvb3666dvr06TJ8+PCq60JfYMk/BuLQbSQ/CDgmYKkhFo0q+T5T8i/NyZ0uly5dKk8//bQsX74887YMxOmR4d8uVviX3hutlfiHf1ou5YkTq38LFy6Uk08+uSKy448/Xn73u9/JAQcckAltmtjJoJ181LpDhw6ZYoe22JJ/DMSh2Uc+EPCMgKWGWAS6H/7wh63D74oVK2Tt2rUqWzAQp8eIf/iX3hb9lfiHf/pWpY8Yq39nn3121RtpvfXWW3LEEUekh/mFlXfddZdce+21Fa9N3p1O7m4d88OSf4UNxE0tBsT97yIx/xUgdwjsImCpIRZRt169eqkNwjvOx0CcvlL4h3/pbdFfiX/4p29V+ogx+pfmHdxbb71VbrzxxvQgd1v5ySefSJ8+fSr+GkTyXeLkU2AxPyz5V9hAHLMA5A4BCDAQ7yDAQOz2b4OlJ+QiSOFfEVTTx8Q/BuL0tuivjNG/5OaUM2bMKAszuXHWmjVrZK+99qoJ+IMPPihXXHFFxRjr1q2THj161LSP5Yst+cdAbNk0zg4BAwQsNcQicDKQFEE1fUz8YyBJb4v+SvzDP32r0keM0b/kJ482bNhQFtLYsWNlwoQJ6SGWWblp0yY58MADK8b55S9/2fpTirE+LPnHQByrpeQNgToRsNQQi0DCQFwE1fQx8Y+BJL0t+ivxD//0rUofMTb/3n333dbfEa70SG5kefjhh6eHWGHlmWeeKfPnzy+74vLLL5fkneRYH5b8YyCO1VLyhkCdCFhqiEUgYSAugmr6mPjHQJLeFv2V+Id/+laljxibfzNnzpRhw4aVBdS/f3955ZVX0gOssvLee++V0aNHl12VfDz7gw8+iPY3iS35x0Cs9teCQBCAQCkClhpiERVMftZh48aNmUKPGzdOVq5cWfYabqqVHif+4V96W/RXtvrXcofRxisa9YMbiEj/c1uk2Ppf8p3eSu/I3nzzzTJx4kS1oiS/IHHCCSdUjFfL3azVDuookCX/GIgdScK2EIiFgKWG6EtNzjvvPJk7dy4DsUJB8C87RPzLzqzcFfiXnSX+ZWeGf58TqPaJrOSuz8ndn7UeW7dulY4dO1YMlzyXDxo0SGtLU3Es9T8GYlNqcVgI2CNgqSH6QpcXhHqVwL/sLPEvOzMGEj1m+KfHMqb+t3r16tafQqr0WL9+vSQfY9Z8JO8QJ+8Ul3vcfffd8oMf/EBzSzOxLPnHQGxGKw4KAZsELDVEXwjzglCvEviXnSX+ZWfGQKzHDP/0WMbU/x599NGKd3Tu2bNn688taT8aGxtlypQpZcMm3zGePHmy9rYm4lnyj4HYhFIcEgJ2CVhqiL5Q5gWhXiXwLztL/MvOjIFYjxn+6bGMqf/dcccdcv3115eFd8YZZ8i8efP04G6P9OMf/1iS7yaXewwcOFCeffZZ9X0tBLTkHwOxBaM4IwQME7DUEH3BzAtCvUrgX3aW+JedGQOxHjP802MZU/+76aabZNKkSWXhjRgxQqZOnaoHd3ukGTNmyGWXXVY27qGHHirJz0HF+LDkHwPxDkObW/6fhhh1JWcIFEvAUkMslkT66LwgTM+q2kr8q0ao/Z/jX3ZmDMR6zPBPj2VM/W/UqFFy//33l4U3fvx4SX7BQfuR3Ek9eRe43KNz587y0UcfaW9rIp4l/xiITSjFISFgl4ClhugLZV4Q6lUC/7KzxL/szBiI9Zjhnx7LmPrfkCFDZPbs2WXhTZs2reI7uXmpL1u2TI499tiKlzc3J++6xfew5B8DcXx+kjEE6krAUkOsK5gKm/GCUK8S+JedJf5lZ8ZArMcM//RYxtT/zjzzTJk/f35ZeE899ZSce+65enC3R0o+Dn3YYYdVjPvZZ5/Jnnvuqb637wEt+cdA7LtNnA8CxglYaoi+oOYFoV4l8C87S/zLzoyBWI8Z/umxjKn/Je/SJu/Wlnv8/ve/lwEDBujB3R5p3bp1ktzButLjr3/9q3Tp0kV9b98DWvKPgdh3mzgfBIwTsNQQfUHNC0K9SuBfdpb4l50ZA7EeM/zTYxlT/+vWrZts2LChLLwXX3xRvvnNb+rB3R7pz3/+sxx00EEV477//vvSvXt39b19D2jJPwZi322qeL6mlj/tYDoDDh8+AUsN0Zdq8IJQrxL4l50l/mVnxkCsxwz/9FjG1P8aGirfGXfRokVy4okn6sHdHmnz5s3yla98pWLcVatWSZ8+fdT39j2gJf8YiH23ifNBwDgBSw3RF9S8INSrBP5lZ4l/2ZkxEOsxwz89lrH0v08++UQ6depUEdxrr70mxxxzjB7c7ZGSO0hX+zj02rVr5eCDD1bfu7CASu+3WfKPgbgwmwgMAQgkBCw1RF8qxgtCvUrgX3aW+JedGQOxHjP802MZS//79NNPZe+9964I7vXXX5ejjjpKD+72SBs3bpSuXbtWjLtp0ybZf//91ff2PaAl/xiIfbeJ80HAOAFLDdEX1Lwg1KsE/mVniX/ZmTEQ6zHDPz2Wde1/yS8LVf7Usl5iJSJV+8j00qVL5bjjjlM/w5o1a6R3794V427ZsqXqO9jqB/MgYF39qzFfBuIaAXI5BCBQmYClhuhLLXlBqFcJ/MvOEv+yM2Mg1mOGf3osY+p/yfd4k+/zlnu88sor0r9/fz242yOtWLFCDj/88Ipxt23bJh06xHfPH0v+MRCr/9UgIAQg8EUClhqiL5XjBaFeJfAvO0v8y86MgViPGf7psYyp/1W7y/QLL7wg3/rWt/Tgbo/0pz/9qep3k5ubk7fP43tY8o+BOD4/w8pY6Yv/YUHxKxtLDdEXcrwg1KsE/mVniX/ZmTEQ6zHDPz2WMfW/I444QpYvX14W3pw5cyRxS/uxePFi6devX9mwyfeL169fr72tiXiW/GMgNqEUh4SAXQKWGqIvlHlBqFcJ/MvOEv+yM2Mg1mOGf3osY+p/J5xwgiTfE670d3HkyJF6cLdHmjt3bsVB+9RTT5WXXnpJfV8LAS35x0BswSjOCAHDBCw1RF8w84JQrxL4l50l/mVnxkCsxwz/9FjG1P8GDx4sybvA5R4TJkyQsWPH6sHdHunee++V0aNHl4176aWXyowZM9T3tRCwvX/+fqyTgdiCUZwRAoYJxPSErFUmXhBqkeRnv/KQxL881EpfQ//LzhL/sjPjH2REbrjhBrntttvKwrvyyivlvvvu04O7PdKYMWPk9ttvLxt3/PjxMm7cOPV9LQR84IGftxyzQRobG70/LgOx9yXigBCwTYAXhNnrxwvC7Mx4QajHDP/0WNL/srPEv+zM6H8iU6dOlUofiS7qo8tDhgyR2bNnly3a9OnTZfjw4XpFNRTJUv9jIDYkFkeFgEUClhqiL3x5QahXCfzLzhL/sjNjINFjhn96LGPqf88//7ycfvrpFeEV8fNH1b67vGDBAjnllFP0imookiX/GIgNicVRIWCRgKWG6AtfXhDqVQL/srPEv+zMGIj1mOGfHsuY+t+aNWukd+/eFeElvxn89a9/XQ3wli1bZN99960YL1nTqVMntT3dBkp+Pqoh9REs+cdAnLqsLIQABPIQsNQQ8+RXxDW8INSjin/ZWeJfdmYMxHrM8E+PZUz9r6mpSfbbbz/ZvHlzWYAPPfSQDBs2TA3wvHnzZMCAAWXjFfUxbbUECg5kyT8G4oJlIDwEYidgqSH6UiteEOpVAv+ys8S/7MwsDMT+3t+1LT38C9M/vazKR0qG3ZkzZ5ZdkHzf97HHHlM7yi233CLJ3avLPW6++WaZOHGi2n7WAll6/mUgtmYX54WAMQKWGqIvaHlBqFcJ/MvOEv+yM7MwEOtlVWwk/NPjG1v/e+SRR+SSSy4pC7Bz586yfv166dixowrkfv36yeLFi8vGeuaZZ+Sss85S2ctiEEv+MRBbNIwzQ8AQAUsN0ResvCDUqwT+ZWeJf9mZMRDrMcM/PZax9b/3339fevToURHg/fffL9///vdrhrxkyRI58cQT6zZ813xgBwEs+cdA7EAQtoRATAQsNURf6sILQr1K4F92lviXnRkDsR4z/NNjGWP/q3bX5549e8rKlStlzz33rAn0BRdcIE888UTZGKNHj5bJkyfXtIf1iy35x0Bs3TbODwHPCVhqiL6g5AWhXiXwLztL/MvOjIFYjxn+6bGMsf9NmTJFGhsbK0JMvmdc6aPV1Srw6quvyvHHH19x2cKFC+Wkk06qFiroP7fkHwNx0CqSHATcE7DUENVp5byLDS8I9SoRtX85MeJfTnAlLsO/7CzxLzsz/kFmF4GPP/5YunfvXvFu0127dpXkI8+9evXKDHvTpk2SfHc4eZe53KNv377y9ttvZ44d2gWW+h8DcWj2kQ8EVAjknOR4QahCnxeEKhhbg1h6QtbLurZI+Fcbvy9ejX/ZWeJfdmYMxG0JJHd2HjduXEWQ3/jGN+Tll1+WLl26pAa+detWOeecc2T+/PkVr5k7d64MGjQoddxQF1rqfwzEoVpIXhDwhIClhugJMuEFoV4l8C87S/zLzoyBRI8Z/umxjLX/bdiwQbp161YV5BlnnNH6M03VbsSVBFqxYoVcdNFFsnTp0opxzz//fHnyySer7h3DAkv+MRDHYCQ5QsAhAUsN0SGmNlvzglCvEviXnSX+ZWfGQKzHDP/0WMbc/6ZNmyYjRoxIBfNHP/qRXHPNNbLPPvu0W7969Wp56KGHJPnN4TSPVatWSZ8+fdIsDX6NJf8YiIPXkQQh4JaApYboltSu3XlBqFcJ/MvOEv+yM2Mg1mOGf3osY+9/yTu6s2bNSg00+Rmlo446Spqbm6WhoUHeeecdWbBgQerrJ02aJDfccEPq9aEvtOQfA3HoNpIfBBwTsNQQHaPauT0vCPUqgX/ZWeJfdmYMxHrM8E+PZez978MPP5RjjjlG1q5dqwe1TKT+/fvL888/L1/+8pcL38vKBpb8YyC2YhXnhIBRApYaoi+Ii39B2NySaoMv6RZ6DvzLjrd4/7KfyZcrst5uEP+yVw7/sjPjH2TKM0t+/ujkk0/Wg1oi0sCBA+Xxxx+Xfffdt9B9rAW31P8YiK3ZxXkhYIyApYboC1peEOpVAv+ys8S/7MwYSPSY4Z8eS/rf5yzfeustSW52tXz5cj242yMNGTJEHn74Yd4ZLkHWkn8MxOp/NQgIAQh8kYClhuhL5XhBqFcJ/MvOEv+yM2Mg1mOGf3os6X+7WP7tb3+TSy+9VObMmaMGePTo0XL33XfLHnvsoRYzpECW/GMgDsk8coGAhwQsNURf8A0dOlQeffTRssd5+umnW38LkUd1AvhXndHuK/AvOzMGYj1m+KfHkv7XlmVTU5PMmDFD7rnnHlm2bFlu0Mndq5O7Uh999NG5Y8RwoSX/GIhjMJIcIeCQgKWG6BATWxdEAP8KAkvYVATwLxUmFhVEAP/Kg120aJFMnTpVpkyZkop+z549ZdiwYXL11Ven+t3iVEEDX2TJPwbiwGUkPQi4JuBdQ8x6VxzXANm/JgLe+VdTNlxsjQD+WatYWOfFv+r13LZtm2zYsEHWrVvX+l9yR+rk49Vf/epX5ZBDDpHevXtLr169+I5wdZTtVljyj4E4R4G5BAIQSE/AUkNMnxUrrRDAPyuVCvOc+BdmXa1khX9WKhXmOS35x0AcpoNkBQFvCFhqiN5A4yBqBPBPDSWBchDAvxzQHFwS6geH8M+BTGy5k4Al/xiIERcCECiUgKWGWCgIgjshgH9OsLPpdgL4hwouCeCfS/rsbck/BmJ8hQAECiVgqSEWCoLgTgjgnxPsbMpAjAMeEKD/eVCEiI9gyT8G4ohFJXUI1IOApYZYDx7sUV8C+Fdf3uzWlgD+YYRLAvjnkj57W/KPgRhfIQCBQglYaoiFgiC4EwL45wQ7m/IOMQ54QID+50ERIj6CJf8YiCMWldQhUA8ClhpiPXiwR30J4F99ebMb7xDjgD8E6H/+1CLGk1jyj4E4RkPJGQJ1JGCpIdYRC1vViUC4/jW3EGyoE8X/3975x3pZVgH8udesIAnXDyAEIvPHSmdLp2KuHypLSy3XFuXWUENvWWy1ymlNaWhlP5fOOd0gxahmUivCpdVgZqFMHS6qpYgwAmZgZMlUdPPe7nsFEe79fr/v877nfc9znvO5m//o85znOZ/z4bwevt/7/XJMVQL5+leVCPvaJIB/bdLmrAMJWPKPgRh/IQCBRglYaoiNgiB4CQLyQx7+lcDOksYI4F9jaAlcggD+lYDEksYIWPKPgbgxDQgMAQgUBCw1RCqWHwH8y6+mljLCP0vVyu+u+JdfTS1lZMk/BmJLZnFXCBgkYKkhGsTLlXsQwD8U0SSAf5r0ORv/cECTgCX/GIg1TeFsCDggYKkh5lUO+bcfW+SDfxarls+d8S+fWlrMBP8sVi2fO1vyj4E4H+/IBAJJErDUEJMEyKVqEcC/WvjYXJMA/tUEyPZaBPCvFj421yRgyT8G4prFZjsEINCdgKWGSC3zI4B/+dXUUkb4Z6la+d0V//KrqaWMLPnHQGzJLO4KAYMELDVEg3i5cg8C+IcimgTwT5M+Z+MfDmgSsOQfA7GmKZwNAQcELDVEB+VwlyL+uSt5UgnjX1LlcHcZ/HNX8qQStuQfA3FS6nAZCORHwFJDzI8+GeEfDmgSwD9N+pyNfzigScCSfwzEmqZwNgQcELDUEB2Uw12K+Oeu5EkljH9JlcPdZfDPXcmTStiSfwzESanDZSCQHwFLDTE/+mSEfzigSQD/NOlzNv7hgCYBS/4xEGuawtkQcEDAUkN0UA53KeKfu5InlTD+JVUOd5fBP3clTyphS/4xECelDpeBQH4ELDXE/OiTEf7hgCYB/NOkz9n4hwOaBCz5x0CsaQpnQ8ABAUsN0UE53KWIf+5KnlTC+JdUOdxdBv/clTyphC35x0CclDpcBgL5EbDUEPOjT0b4hwOaBPBPkz5n4x8OaBKw5B8DsaYpnA0BBwQsNUQH5XCXIv65K3lSCeNfUuVwdxn8c1fypBK25J/oQDw4XIb+pErBZSAAAW0ClhqiNivOlyeAf/JMiVieAP6VZ8VKeQL4J8+UiOUJWPJPdCAuj4iVEICAFwKWGqKXmnjKE/88VTu9XPEvvZp4utF+/g0NZ97nKXty1SZgqf8xEGvbwvkQkCaQ2EPPUkOULgXx9Angn34NPN8A/zxXXz93/NOvgecbWPKPgdizqeQOgRYIWGqILeDgiJYJ4F/LwDluPwL4hxCaBPBPkz5nW/KPgRhfIQCBRglYaoiNgiC4CgH8U8HOoXsI4B8qaBLAP036nG3JPwZifIUABBolYKkhNgqC4CoE8E8FO4cyEONAAgTofwkUwfEVLPnHQOxYVFKHQBsELDXENnhwRrsE8K9d3py2PwH8wwhNAvinSZ+zVfyr+Dk6DMT4CgEINEpApSE2mlGCwSs+ABLMRPxK+CeOlIARBPAvAhZLxQngnzhSAkYQsOQfA3FEYVkKAQjEE7DUEOOzY0fqBPAv9QrlfT/8y7u+qWeHf6lXKO/7WfKPgThvF8kOAuoELDVEdVhcQJwA/okjJWAEAfyLgMVScQL4J46UgBEELPnHQBxRWJZCAALxBCw1xPjs2JE6AfxLvUJ53w//8q5v6tnhX+oVyvt+lvxjIM7bRbKDgDoBSw1RHRYXECeAf+JICRhBAP8iYLFUnAD+iSMlYAQBS/7pDcR8CEyEUiyFgF0ClhqiXcrcvBMB/MMNTQL4p0mfs/EPBzQJWPJPbyDWrBBnQwACrRGw1BBbg8JBrRHAv9ZQc9AYBPAPLTQJ4J8mfc625B8DMb5CAAKNErDUEBsFQXAVAvingp1D9xDAP1TQJNCkf7zRU7OyNs5u0j9pAgzE0kSJBwEI7EfAUkOkdPkRwL/8amopI/yzVK387op/+dXUUkaW/GMgtmQWd4WAQQKWGqJBvFy5BwH8QxFNAvinSZ+z8Q8HNAlY8o+BWNMUzoaAAwKWGqKDcrhLEf/clTyphPEvqXK4uwz+uSt5Uglb8o+BOCl1uAwE8iNgqSHmR5+M8A8HNAngnyZ9zsY/HNAkYMk/BmJNUzgbAg4IWGqIDsrhLkX8c1fypBLGv6TK4e4y+BdR8ow/JUwrNUv+MRBH/FlhKQQgEE/AUkOMz44dqRPAv9QrlPf98C/v+qaeHf6lXqG872fJPwbivF0kOwioE7DUENVhcQFxAvgnjpSAEQTwLwIWS8UJ4J84UgJGELDkHwNxRGFZCgEIxBOw1BDjs2NH6gTwL/UK5X0//Mu7vqlnh3+pVyjv+1nyj4E4bxfJDgLqBCw1RHVYXECcAP6JIyVgBAH8i4DFUnEC+CeOlIARBCz5x0AcUViWQgAC8QQsNcT47NiROgH8S71Ced8P//Kub+rZ4V/qFcr7fpb8YyDO20Wyg4A6AUsNUR0WFxAngH/iSAkYQQD/ImCxVJwA/okjJWAEAUv+MRBHFJalEIBAPAFLDTE+O3akTgD/Uq9Q3vfDv7zrm3p2+Jd6hfK+nyX/GIjzdpHsIFCBgOw31u1tiBUuwhYImCIg+yfHVOpcFgJ5EOgfTmMwj1TIAgKpEBgYGEjlKh3vwUCcfIm4IARsE2Agtl0/bg8BCEAAAhCAAASqEmAgrkqOfRCAQDYELL1lJhvoJPIyAfxDBk0C+KdJn7PxDwc0CVjyj1eINU3hbGUCvMGxjQJYaoht8OCMdgngX7u8OW1/AviHEZoE8E+TPmdb8o+BGF8hAIFGCVhqiI2CILgKAfxTwc6hewjgHypoEsA/Tfqcbck/BmJ8hQAEGiVgqSE2CoLgKgTwTwU7hzIQ40ACBOh/CRTB8RUs+cdA7FhUUjdCwPg7uy01RCNGcM0IAvgXAYul4gTwTxwpASMI4F8ELJaKE7DkHwOxePkJCAEIvJKApYZI5fIjgH/51dRSRvhnqVr53RX/8quppYws+cdAbMks7goBgwQsNUSDeLlyDwL4hyKaBPBPkz5n4x8OaBKw5B8DsaYpnA0BBwQsNUQH5XCXIv65K3lSCeNfUuVwdxn8c1fypBK25B8DcVLqcBkI5EfAUkPMjz4Z4R8OaBJIwr/BYQL9mhQ4W4tAEv5pJf/Kc/kzoFIFS/4xEKsowqEQ8EPAUkP0UxU/meKfn1qnmCn+pVgVP3fCPz+1TjFTS/4xEKdoEHeCQEYELDXEjLCTyh4C+IcKmgTwT5M+Z+MfDmgSsOQfA7GmKZwNAQcELDVEB+VwlyL+uSt5UgnjX1LlcHcZ/HNX8qQStuQfA3FS6nAZCORHwFJDzI8+GeEfDmgSwD9N+pyNfzigScCSfwzEmqZwNgQcELDUEB2Uw12K+Oeu5EkljH9JlcPdZfDPXcmTStiSfwzESanDZSCQHwFLDTE/+mSEfzigSQD/NOlzNv7hgCYBS/4xEGuawtkQcEDAUkN0UA53KeKfu5InlTD+JVUOd5fBP3clTyphS/4xECelDpeBQH4ELDXE/OiTEf7hgCYB/NOkz9n4hwOaBCz5x0CsaQpnQ8ABAUsN0UE53KWIf+5KnlTC+JdUOdxdBv/clTyphC35x0CclDpcBgL5EbDUEPOjT0b4hwOaBPBPkz5n4x8OaBKw5F+zA/HgcBn6NUvB2RCAgDYBSw1RmxXnyxPAP3mmRCxPAP/Ks2KlPAH8k2dKxPIELPnX7EBcnhkrIQCBTAlYaoiZlsB1WvjnuvzqyeOfeglcXyAX/4aGq9jnupI2k7fkHwOxTce4NQTMELDUEM1A5aKlCeBfaVQsbIAA/jUAlZClCeBfaVQsbICAJf8YiBsQgJAQgMA+ApYaInXLjwD+5VdTSxnhn6Vq5XdX/MuvppYysuQfA7Els7grBAwSsNQQDeLlyj0I4B+KaBLAP036nI1/OKBJwJJ/DMSapnA2BBwQsNQQHZTDXYr4567kSSWMf0mVw91l8M9dyZNK2JJ/DMRJqcNlIJAfAUsNMT/6ZIR/OKBJAP806XM2/uGAJgFL/jEQa5rC2RBwQMBSQ3RQDncp4p+7kieVMP4lVQ53l8E/dyVPKmFL/jEQJ6UOl4FAfgQsNcT86JMR/uGAJgH806TP2fiHA5oELPnHQKxpCmdDwAEBSw3RQTncpYh/7kqeVML4l1Q53F0G/9yVPKmELfnHQJyUOlwGAvkRsNQQ86NPRvhPTO+CAAAgAElEQVSHA5oE8E+TPmfjHw5oErDkHwOxpimcDQEHBCw1RAflcJci/rkreVIJ419S5XB3GfxzV/KkErbkn/uBeHBYnf6k9OEyEMiLgKWGmBd5sikI4B8eaBLAP036nI1/OKBJwJJ/7gdiTVE4GwIeCFhqiB7q4S1H/PNW8bTyxb+06uHtNvjnreJp5WvJPwbitNzhNhDIjoClhpgdfBLiFWIcUCVA/1PF7/5w/HOvgCoAS/4xEKuqwuEQyJ+ApYaYfzX8ZYh//mqeUsb4l1I1/N0F//zVPKWMLfnHQJySOdwFAhkSsNQQM8TvPiX8c6+AKgD8U8Xv/nD8c6+AKgBL/jEQq6rC4RDIn4Clhph/NfxliH/+ap5SxviXUjX83QX//NU8pYwt+cdAnJI53AUCGRKw1BAzxO8+Jfxzr4AqAPxTxe/+cPxzr4AqAEv+MRCrqsLhEMifgKWGmH81/GWIf/5qnlLG+JdSNfzdBf/81TyljC35x0CckjncBQIZErDUEMfEPzT8b/syLIyTlMz756ROuaaJf7lW1kZe+GejTrne0pJ/DMS5WkheEEiEgKWGmAgyriFIAP8EYRIqmgD+RSNjgyAB/BOESahoApb8YyCOLi8bIACBGAKWGmJMXqy1QQD/bNQp11viX66VtZEX/tmoU663tOQfA3GuFpIXBBIhYKkhJoKMawgSwD9BmISKJoB/0cjYIEgA/wRhEiqagCX/GIijy8sGCEAghoClhhiTF2ttEMA/G3XK9Zb4l2tlbeSFfzbqlOstLfnHQJyrheQFgUQIWGqIiSDjGoIE8E8QJqGiCeBfNDI2CBLAP0GYhIomYMk/BuLo8rIBAhCIIWCpIcbkxVobBPDPRp1yvSX+5VpZG3nhn4065XpLS/4xEOdqIXlBIBEClhpiIsi4hiAB/BOESahoAvgXjYwNggTwTxAmoaIJWPKPgTi6vGyAAARiCFhqiDF5sdYGAfyzUadcb4l/uVbWRl74Z6NOud7Skn8MxLlaSF4QSISApYaoiez5558P//znP8Pjjz8+8s/u3bvD+PHjw2GHHRamTp068s+kSZPCq171Ks1rmjsb/6qXbM2aNeHpp58eFeDkk08OEydOrB7Y0U78q15s/KvObu9O/CvHkOdvOU6xqyz5x0AcW13WQwACUQQsNcSoxAQWP/zww+Hb3/52eOihh8LGjRtLRfzkJz8Z5s2bF0477bRw0EEHldojsmhoOEqfSKRWg+BfNdzFX8iMGzduzM133HFH+PjHP14tsLNd+Fet4PhXjduBu/CvM0dTz18ZHVqPkqZ/Y//PDANx63pwIAR8EUizIerW4O9//3tYuHBhWLZsWeWLTJs2LVx66aXhc5/7XDj00EMrx8l9I/5Vq/DKlSvD7NmzGYir4Xt5F/5VA4h/1bgxEPfmxvO3NyOpFZb6HwOxVNWJAwEIjEnAUkNsuoTbt28Pl112WVi6dKnYUYcffnhYvnx5OPbYY8Vi5hQI/6pV8ytf+Ur4wQ9+wEBcDR8DcU1u+FcT4J7t9L99HHn+yjgVE8WSfwzEMZVlLQQgEE3AUkOMTi5iw1NPPRU+8IEPhHXr1kXsKr+Ut7GOzQr/yju0d+Wzzz4bpkyZEnbt2sVAHI9vvx0+/Bsczrm/Jql92/FPDGXw4V9vXjx/ezNqYoUl/xiImzCAmBCAwMsELDXEpspW/A/eBz/4wbB69eqmjhiJW7wNe8GCBY2eYS04/sVXbPHixeGSSy7puJG/fCnPFP/Ks9q7Ev/imXXaUck/o58X0YkBz185n2IjVfIv9hCh9QzEQiAJAwEIjE3AUkNsooYvvPBCOO+888Jdd93VRPhRMX/729+GD33oQ62cZeEQ7/7F1ug///lPeMc73hF27NjBQBwLb4z1+BcHEf/iePVa7d0/nr+9DGn2v1vyj4G4WReIDgH3BCw1xCaKNXfu3KjfGT733HPDEUccEYoPzSo+aXXz5s3hH//4R/jTn/5U6noTJkwIjz32WJg8eXKp9bkv8u5fTH0HBwfD+eefH4pXgLv98Apxear4V54V/pVnVXald/94/pY1pZl1lvxjIG7GAaJCAAJ7CFhqiNJFu++++8Kpp57aM2wxxF5++eUjb1Mtvmt4rJ9HH300XH/99eGmm27qGe/ss88OK1asCH19Br8nqWd2cQs8+xdDqvh94Ysuuij88pe/7LmNgbgnopcX4F85VvhXjlPsKs/+8fyNtUV+vSX/GIjl609ECEDgFQQsNUTpwp111lnhd7/7XdewRx11VLj77rvD2972tlLH33vvveH9739/z7W33npruPDCC3uuy32BZ//K1HbTpk3hJz/5Sfje977X8UO0DozDQFyG7Etr8K87K/wr71KVlZ794/lbxRjZPZb8YyCWrT3RIACBAwhYaoiSxVuzZk045ZRTuoY8/vjjw+9///vwxje+MeroMrGLQbt4q3V/v9ynv0ZdMpHFXv0bC3/x+3TFOw2KTzpfu3ZtuPPOO8P69eujK8VAXB5ZR/8y++CiMkTwrwwl2TVe+1+ZZyTPX1nXxopmyT8G4uZ94AQIuCZgqSFKFurDH/5wzw/SeuSRR8LRRx9d6dgf/vCH4Utf+lLXvcWr08WnW3v+8erf3pp/+ctfHhl+N2zYELZu3SqiAgNxeYz4h3/lbZFf6dU/nr/yLlWJaMk/BuIqFWYPBCBQmoClhlg6qR4Ly/zt9Le+9a3w1a9+tfKRzz33XJg5c2bXTwMufpe4eBXQ849H/15Z7+nTp4sNwnvjMhCX/xOFf/hX3hb5lR794/kr71HViJb8YyCuWmX2QQACpQhYaoilEiqxqPhwoiVLlnRcWXxw1pYtW8KrX/3qEtE6L/nRj34ULr744q4xtm3bFqZOnVrrHMubPfrHQJyOsfjHQKxpo0f/eP5qGrf/2Zb8YyBOxxtuAoEsCVhqiFIFKL7yqNv3uF511VXh6quvrn3czp07w5ve9KaucX72s5+NfJWO1x+P/jEQp2M7/jEQa9ro0T+ev5rGMRCnQ5+bQAACSRHw9kB+/PHHR75HuNtP8UFGRx55pEidzjjjjLBq1aqOsT796U+H4pVkrz/e/DuwzrxlWtd8/GMg1jTQm388fzVtG322Jf94hTgtd7gNBLIjYKkhSsBfunRpmDt3bsdQs2bNCvfff7/EUSMxbrzxxjB//vyO8Yq3Z//rX/9y+53E3vxjIBb7oyUSCP8YiEVEqhjEm388fyuK0tA2S/4xEDckAWEhAIGXCFhqiBI1K36nt9srsldeeWW45pprJI4aiVF8gvAJJ5zQNV6dT7MWu6hSIG/+HYi5+FqvJ598Mor+ggULwsaNGzvu4UO1yuPEP/wrb4v8Sm/+8fyVd6hOREv+MRDXqTR7IQCBngQsNcSeyZRY0OstqsWnPhef/iz1s3v37jBu3Liu4VasWBHOOeccqSNNxfHmn0RxPvKRj4TCmU4/DMTlKeNfeVZ7V+JfPLNOO7z5x/NXzh2JSJb8YyCWqDgxIACBjgQsNcS6Zdy8efPIVyF1+9m+fXso3sYs+VO8Qly8Utzp57rrrgtf+MIXJI80E8uTf1JFYSCRIunvHTIS5PBPguJLMTz1P56/ct5IRbLkHwOxVNWJAwEzBIaGb9rX2m0tNcS6UG6//faun+g8bdq0ka9bkv4ZGBgIixYt6hi2+B3jG264QfpYE/E8+SdVEAYSKZK+BhIpavgnRdKXfzx/5byRimTp+ctALFV1B3HaHaMcAHWSoqWGWLck3//+98Nll13WMczpp58eVq5cWfeYUfu/+c1vhuJ3kzv9nHnmmeHuu+8WP9dCQE/+SdWDgUSKpK+BRIoa/kmR9OUfz185b6QiWXr+MhBLVZ04EIDAmAQsNcS6Jfza174Wrr322o5h5s2bFxYvXlz3mFH7lyxZEi666KKOcQ8//PBQfB2Fxx9P/knVl4FEiqSvgUSKGv5JkfTlH89fOW+kIll6/jIQS1WdOBCAgPuB+NJLLw0333xzRxMWLlwYik/wlf4pPkm4eBW408+ECRPC008/LX2siXiWHsipAGUgkasE/sWzxL94Zp12ePKP56+cN1KRLPnHQCxVdeJAAALuB+I5c+aEZcuWdTThlltu6fpKblWF1q1bF971rnd13T40VPzSg78fSw/kVKrDQCJXCfyLZ4l/8cwYiEPg+SvnjVQkS/2PgViq6sSBAATcD8RnnHFGWLVqVUcTfvOb34Rzzz1X3JTi7dBHHHFE17gvvPBCOPjgg8XPTj2gpQdyKiwZSOQqgX/xLPEvnhkDcQg8f+W8kYpkqf8xEEtVnTgQgID7gbh4lbZ4tbbTzx/+8Icwe/ZscVO2bdsWik+w7vbz3//+N0ycOFH87NQDWnogp8KSgUSuEvgXzxL/4pkxEIeRd0nx/JVzRyKSpf7HQCxRcWJAAAIdCVhqiHXLOHny5LBjx46OYe69997w3ve+t+4xo/b/+9//Dm9+85u7xn3iiSfClClTxM9OPaAn/6RqwUAiRdLXhxpJUcM/KZK+/OP5K+eNVCRLz18GYqmqEwcCEBiTgKWGWLeEfX3dv9/5gQceCCeeeGLdY0bt37VrV3j961/fNe6mTZvCzJkzxc+WCNjkV7p58k+iFkUMBhIpkr4GEilq+CdF0pd/PH/lvJGKZOn5y0AsVXXiQAACrgfi5557LowfP76rBX/5y1/CcccdJ25K8QnSvd4OvXXr1nDYYYeJn516QEsP5FRYMpDIVQL/4lniXzyzTju8+MfzV84ZyUiW/GMglqw8sSAAgVEEtBtik68+vjLZ559/Prz2ta/tasDf/va3cMwxx4hb8uSTT4ZJkyZ1jbtz587whje8Qfzs1ANq+5c6n7Hux0AiVzX8i2eJf/HMvA/EPH/lnJGMZKn/MRBLVp5YEIgl0Na0FnsvwfWWGmLdtHu9ZWvt2rXh3e9+d91jRu3fsmVLmDFjRte4zzzzTM9XsMUvlkBAT/5J4WYgkSLp6y2rUtTwT4qkL/94/sp5IxXJ0vOXgViq6sSBAATGJGCpIdYtYfF7vMXv83b6uf/++8OsWbPqHjNq/4YNG8KRRx7ZNe6LL74Y+vv7xc9OPaAn/6RqwUAiRdLXQCJFDf+kSPryj+evnDdSkSw9fxmIpapOHAhAwP1A3OtTLv/4xz+G973vfeKm/PWvf+35u8lDQ8XbEfz9WHogp1IdBhK5SuBfPEv8i2fWaUdb/g0OX0D7r1t5/sp5IxWpLf8k7stALEGRGBCAQEcClhpi3TIeffTRYf369R3DLF++fOQTfKV/HnzwwXDSSSd1DFv8fvH27duljzURz5N/UgVhIJEi6esVOilq+CdF0pd/PH/lvJGKZOn5y0AsVXXiQAACYxKw1BDrlvCEE04Ixe8Jd/vb+ksuuaTuMaP2r1ixouugfeqpp4Y///nP4udaCOjJP6l6MJBIkfQ1kEhRwz8pkr784/kr541UJEvPXwZiqaoTBwIQcD8Qn3feeaF4FbjTz9VXXx2uuuoqcVNuvPHGMH/+/I5xL7jggrBkyRLxcy0EtPRAToUnA4lcJfAvniX+xTPr9pewxX8bGBiQC5poJJ6/6RXGUv9jIE7PH24EgawIWGqIdcFfccUV4Tvf+U7HMJ/97GfDTTfdVPeYUfsvv/zy8N3vfrdj3IULF4YFCxaIn2shoCf/pOrBQCJF0tcrdFLU8E+KpC//eP7KeSMVydLzl4FYqurEgQAExiRgqSHWLeHixYtDt7dEN/XW5Tlz5oRly5Z1vP6tt94aLrzwwrrpmdzvyT+pAjGQSJH0NZBIUcM/KZK+/OP5K+eNVCRLz18GYqmqEwcCEHA/EN9zzz3htNNO62pCE19/1Ot3p1avXh3e8573uDTU0gM5lQIxkMhVAv/iWeJfPLNOO6r6V3wnQZ/cNVqJxPO3FcxRh1T1L+oQocUMxEIgCQMBCIxNwFJDrFvDLVu2hBkzZnQNU3xn8Nvf/va6R728/5lnngmHHHJI13jFmvHjx4udaSmQJ/+k6pLzQNL218Ps8+/i4fJofzGNlCHNxsnZv2bJjY7uqf/x/G3brt7nWfKPgbh3PVkBAQjUIGCpIdZIc2Tr4OBgOPTQQ8OuXbs6hrrtttvC3Llz6x718v6VK1eG2bNnd4zX1Nu0xRJoOJAn/6RQMpBIkfT1llUpavgnRdKXfzx/5byRimTp+ctALFV14kAAAmMSsNQQJUpYDLtLly7tGKr4fd+f//znEkeNxPj6178eik+v7vRz5ZVXhmuuuUbsPGuBvPknUR8GEgmKL8XAv3iW+BfPrNMOb/7x/JVzRyKSJf8YiCUqTgwIQKAjAUsNUaKMP/3pT8OnPvWpjqEmTJgQtm/fHsaNGydxXDjppJPCgw8+2DHWXXfdFc466yyRsywG8eafRI0YSCQoMhBXpYh/VcmN3uet//H8lXNHIpIl/xiIJSpODAhAgIF4D4EnnngiTJ06tasRN998c/jMZz5T25qHHnoonHjiia0N37UvrBDA0gNZAc+YRzKQyFUC/+JZ4l88s047vPnH81fOHYlIlvxjIJaoODEgAAEG4lcQ6PWpz9OmTQsbN24MBx98cC1zPvaxj4Vf/epXHWPMnz8/3HDDDbXOsL7Z0gM5FdYMJHKVwL94lvgXz4yBeB8Bnr9y/tSNZKn/MRDXrTb7IQCBrgQsNUSpUi5atCgMDAx0DVf8nnG3t1b3usvDDz8cjj/++K7L1qxZE04++eReobL+7x79q1tQBpK6BPftx794lvgXz4yBeB8Bnr9y/tSNZKn/MRDXrTb7IQABBuIDCDz77LNhypQpXT9tetKkSaF4y/P06dOjDdq5c+fI7w4XrzJ3+jnqqKPCo48+Gh07tw2WHsipsGcgkasE/sWzxL94ZskOxApfaMzzV86fupEs9T8G4rrVZj8EIMBAPAaB4pOdFyxY0JXNO9/5znDfffeFiRMnlrZo9+7d4eyzzw6rVq3qumfFihXhnHPOKR0314WWHsip1ICBRK4S+BfPEv/imSU7EMulEhWJ528UrsYWW+p/DMSNaUDglAgMDl+mP6ULObqLpYYoWZYdO3aEyZMn9wx5+umnj3xNU68P4ioCbdiwIXziE58Ia9eu7Rr3ox/9aPj1r3/d82wPC7z6V6e2DCR16O2/F//iWeJfPDMG4v0J8PyVc6hOJEv9j4G4TqXZCwEI9CRgqSH2TCZywS233BLmzZtXatc3vvGN8MUvfjG87nWvG7V+8+bN4bbbbhv5zuEyP5s2bQozZ84sszT7NZ79q1pcBpKq5Ebvw794lvgXz4yBeDQBnr9yHlWNZKn/MRBXrTL7IACBUgQsNcRSCUUuKl7RveOOO0rvKr5G6ZhjjglDQ0Ohr68vPPbYY2H16tWl91977bXhiiuuKL0+94Xe/atSXwaSKtTG3oN/8SzxL54ZA/HYBHj+yrlUJZKl/sdAXKXCKe1R+MCClNLnLukTsNQQm6D51FNPheOOOy5s3bq1ifD7xZw1a1a45557wmte85rGz7JygHf/qtSJgaQKNQZiKWr4J0UyBO/9j+evnEtVIlnyj4G4SoXZAwEIlCZgqSGWTipyYfH1R6ecckrkrrjlZ555ZvjFL34RDjnkkLiNma/Gv/gCM5DEM+u0A//iWeJfPDP868yM56+cT7GRLPU/BuLY6rIeAhCIImCpIUYlFrn4kUceCcWHXa1fvz5yZ+/lc+bMCT/+8Y95ZXgMVPjX258DVzCQxDNjIJFjhn9yLOl/L7Hk+SvnVEwkS/4xEMdUlrUQgEA0AUsNMTq5yA3/+9//wgUXXBCWL18eubPz8vnz54frrrsuHHTQQWIxcwqEf/HVZCCJZ8ZALMcM/+RY0v/2seT5K+dV2UiW/GMgLltV1kEAApUIWGqIlRKM3DQ4OBiWLFkSrr/++rBu3brI3fuWF59eXXwq9bHHHls5hoeN+Bdf5fPPPz/cfvvtHTfeeeedI9+FzU9vAvjXm9GBK/Avnhl/IVOOGc/fcpykVlnqfwzEUlUnDgQgMCYBSw2x7RI+8MADYfHixWHRokWljp42bVqYO3du+PznP1/qe4tLBc18Ef5lXuDE08O/xAuU+fXwr3OBaz9/+VDbnn96LPnHQNyznCyAAATqELDUEOvkWWfviy++GHbs2BG2bds28k/xidTF27ve8pa3hLe+9a1hxowZYfr06fyOcAXIefo3OEyivwINtrRNIE//2qbIeVUJ4F9vci6fvy09Qiz5x0Dc+88KKyAAgRoELDXEGmmyNVEC+JdoYZxcC/+cFDrRNPEv0cI4uZYl/xiInUhJmhDQImCpIWox4tzmCOBfc2yJ3JsA/vVmxIrmCOBfc2yJ3JuAJf/2H4hbegm9N0JWQAACuRCw1BBzYU4e+wjgHzZoEsA/TfrNnm3hV0jxr1kHiN6dgCX/eIUYmyEAgUYJWGqIjYIguAoB/FPBzqF7COAfKmgSwD9N+pxtyT8GYnyFAAQaJWCpITYKguAqBPBPBTuHMhDjQAIE6H8JFMHxFSz5x0DsWFRSh0AbBCw1xDZ4cEa7BPCvXd6ctj8B/MMITQL4p0mfsy35x0CMryYIWPhdHRMgFS5pqSEq4OHIhgngX8OACd+VAP4hiCYB/NOkz9mW/GMgxlcIQKBRApYaYqMgCK5CAP9UsHPoHgL4hwqaBPBPkz5nW/KPgRhfIQCBRglYaoiNgiC4CgH8U8HOoQzEOJAAAfpfAkVwfAVL/jEQOxaV1CHQBgFLDbENHpzRLgH8a5c3p+1PAP8wQpMA/mnS52xL/jEQZ+Qrv2ebUTEzSsVSQ8wIO6nwCh0OJECA/pdAERxfAf8cFz+B1C35x0CcgDBcAQI5E7DUEHOug9fc8M9r5dPIu5R/g8N37U/jvtwiLwKl/MsrZbJJiIAl/xiIExKHq0AgRwKWGmKO/L3nhH/eDdDNH/90+Xs/Hf+8G6CbvyX/GIh1XeF0CGRPwFJDzL4YDhPEP4dFTyhl/EuoGA6vgn8Oi55Qypb8YyBOSByuAoEcCVhqiC/z5y2M2aho0r9s6JMI/uGAJgH806TP2Zb8YyDGVwhAoFEClhpioyAIrkIA/1Swc+geAviHCpoE8E+TPmdb8o+BGF8hAIFGCVhqiI2CILgKAfxTwc6hDMQ4kAAB+l8CRXB8BUv+MRA7FpXUIdAGAUsNsQ0enNEuAfxrlzen7U8A/zBCkwD+adLnbEv+MRDjKwQg0CgBSw2xURAEVyGAfyrYOZRXiHEgAQL0vwSK4PgKlvxjIHYsKqlDoA0ClhpiGzw4o10C+Ncub07jFWIcSIcA/S+dWni8iSX/GIg9GkrOEGiRgKWG2CIWjmqJAP61BJpjxiSAf4ihSQD/NOlztiX/1AfioWFf+nAGAhDIloClhphtERwnhn+Oi59A6viXQBEcXwH/HBc/gdQt+ac+ECdQL64AAQg0SMBSQ2wQA6GVCOCfEniOHSGAf4igSQD/NOlztiX/GIjxFQIQaJSApYbYKAiCqxDAPxXsHLqHAP6hgiYB/NOkz9mW/GMgxlcIQKBRApYaYqMgCK5CAP9UsHMoAzEOJECA/pdAERxfwZJ/DMSORSV1CLRBwFJDbIMHZ7RLAP/a5c1p+xPAP4zQJIB/mvQ525J/DMT4CgEINErAUkNsFATBVQjgnwp2DuUVYhxIgECa/W9wmEx/AnS4QtME0vRv7KwZiJu2gfgQcE7AUkN0Xqos08e/LMtqJin8M1OqLC+Kf1mW1UxSlvxjIDajFReFgE0ClhqiTcLcuhsB/MMPTQL4p0mfs/EPBzQJWPKPgVjTFM6GgAMClhqig3K4SxH/3JU8qYTxL6lyuLsM/rkreVIJW/KPgTgpdbgMBPIjYKkh5kefjPAPBzQJ4J8mfc7GPxzQJGDJPwZiTVM4GwIOCFhqiA7K4S5F/HNX8qQSxr+kyuHuMvjnruRJJWzJPwbipNThMhDIj4ClhpgffTLCPxzQJIB/mvQ5G/9wQJOAJf8YiDVN4WwIOCBgqSE6KIe7FPHPXcmTShj/kiqHu8vgn7uSJ5WwJf8YiJNSh8tAID8ClhpifvTJCP9wQJMA/mnS52z8wwFNApb8YyDWNIWzIeCAgKWG6KAc7lLEP3clTyph/EuqHO4ug3/uSp5Uwpb8YyBOSh0uA4H8CFhqiPnRzzejweHU+kukh38lILGkMQL41xhaApcggH8lILGkMQKW/GMgbkwDAkMAAgUBSw2RiuVHAP/yq6mljPDPUrXyuyv+5VdTSxlZ8o+B2JJZ3BUCBglYaogG8XLlHgTwD0U0CeCfJn3Oxj8c0CRgyT8GYk1TOBsCDghYaogOyuEuRfxzV/KkEsa/pMrh7jL4567kSSVsyT8G4qTU4TIQyI+ApYYYyv5ian5lyjYjU/5lWwW/ieGf39qnkDn+pVAFv3ew5B8DsV9PyRwCrRCw1BBbAcIhrRLAv1Zxc9gBBPAPJTQJ4J8mfc625B8DMb5CAAKNErDUEBsFQXAVAvingp1D9xDAP1TQJIB/mvQ525J/DMT4CgEINErAUkNsFATBVQjgnwp2DmUgxoEECND/EiiC4ytY8q/8QMzv1jlWmtQhUJ2ApYZYPUt2pkoA/1KtjI974Z+POqeaJf6lWhkf97LkX/mB2EftyLIxAvyNSmNoEw9sqSEmjpLrVSCAfxWgsUWMAP5VQMn/LlSANvYW/BNDSaAKBCz5x0BcocBsgQAEyhOw1BDLZ8VKKwTwz0ql8rwn/uVZVytZ4Z+VSuV5T0v+MRDn6SBZQSAZApYaYjLQuIgYAfwTQ0mgCgTq+8fLpRWws2UPgfr+gRIC1QlY8o+BuHqd2alIgP9FUIQfebSlhhiZGssNEMA/A0XK+Ir4l3FxDaSGfwaKlPEVLfnHQJyxiKQGgRQIWGqIKfDiDrIE8E+WJ9HiCDTu39DwfYp/+uPuxWofBBr3z9eTKxsAAASSSURBVAdGsqxIwJJ/DMQVi8w2CECgHAFLDbFcRqyyRAD/LFUrv7viX341tZQR/lmqVn53teQfA3F+/pERBJIisLchJnUpLgMBCEAAAhCAAAQg0DiBgYGBxs+oewADcV2C7IcABLoSYCBGEAhAAAIQgAAEIOCTAAOxz7qTNQQgAAEI1CDAh+bVgMdWCEAAAhCAAASiCPAKcRQuFkMAAhCAAAQgAAEIQAACEIBALgQYiHOpJHlAAAIQgAAEIAABCEAAAhBwQaD4iP0+kUwZiKMw8ka+KFwshgAEIAABCEAAAqUJ8P9ZpVGxEAIQECPAQCyGkkAQgAAEIAABCEAAAhDImwB/bZF3fT1mx0DsserkDAEIQAACEIAABCAAAQhAAAKBgRgJIAABCEAAAhCAAAQgAIH0CfDydPo1MnhDBmKDRePKEIAABCAAAQhAAAIQgAAEIFCfAANxfYZEgAAEIAABCEAgFQJyHzyaSkbcAwIQgAAEGiTAQNwgXEJDAAIQgAAEIAABCEAAAhCAQLoEGIjTrQ03gwAEIAABCEAAAhCAAAQgAIEGCTAQNwiX0BCAAAQgAAEIQAACEIAABCCQLgEG4nRrw80gAAEIQAACEIAABCAAAQhAoEECDMQNwiU0BCAAgZQI8G0VKVWDu0AAAhCAAAQgkAIBBuIUqsAdIAABCEAAAhCAAAQgAAEIQKB1AgzErSPnQAhAAAIQgAAEIAABCEAAAhBIgQADcQpV4A4QgAAEIAABCEAAAhCAAAQg0DoBBuLWkXMgBCAAAQhAAAIQgAAEIAABCKRAgIE4hSpwBwhAAAIQgAAEIAABCEAAAhBonQADcevIORACEIAABCAAAQhAAAIQgAAEUiDAQJxCFbgDBCAAAQhAAAIQgAAEIAABCLROgIG4deQcCAEIQAACEIAABCAAAQhAAAIpEGAgTqEK3AECEIAABCAAAQhIEBgcDtIvEYgYEIAABHwQYCD2UWeyhAAEIAABCEAAAhCAAAQgAIEDCDAQowQEIAABCEAAAhCAAAQgAAEIuCTAQOyy7CQNAQhAAAIQgAAEIAABCEAAAgzEOAABCEAAAhCAAAQgAAEIQAACLgkwELssO0lDAAIQgAAERhMYGv5XfYCBAAQgAAEIOCLAQOyo2KQKAQhAAAIQgAAEIAABCEAAAvsIMBBjAwQgAAEIQAACEIAABCAAAQi4JMBA7LLsJA0BCEAAAhCAAAQgAAEIQAACDMQ4AAEIQAACEIAABCAAAQhAAAIuCTAQuyw7SUMAAhCAAAQgAAEIQAACEIAAAzEOQAACEIAABCAAAQhAAAIQgIBLAgzELstO0hCAAAQgAAEIQAACEIAABCDAQIwDEIAABCAAgTEJ8K28iAEBCEAAAhDInQADce4VJj8IQAACEIAABCAAAQhAAAIQGJMAAzFiQAACEIAABCAAAQhAAAIQgIBLAgzELstO0hCAAAQgAAEIQAACEIAABCDAQIwDEIAABBQIDA6f2a9wLkdCAAIQgAAEIAABCOwjwECMDRCAAAQgAAEIQKAWAT6ArRY+NkMAAhBQJPB/2N6fnuD4n98AAAAASUVORK5CYII="},"image_210efa84":{"image/png":"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"},"image_a16778ab":{"image/png":"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"}}},{"metadata":{"trusted":false},"cell_type":"code","source":"def colore_comp1(M, i, j, val):\n    if M[i][j] != 1:\n        return\n\n    M[i][j] = val\n\n    if i-1 >= 0:  # propage en haut\n        colore_comp1(M, i-1, j, val)\n    if ... < len(M):  # propage en bas\n        colore_comp1(M, ..., j, val) \n    if ...:  # propage à gauche \n        colore_comp1(M, ..., ..., val) \n    if ...:  # propage à droite \n        ...","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"44.1\"></a>\n\n!!! question Sujet 44 — Exercice 1\nDans cet exercice on cherche à calculer la moyenne pondérée d’un élève dans une matière\ndonnée. Chaque note est associée à un coefficient qui la pondère.\n\nPar exemple, si ses notes sont : 14 avec coefficient 3, 12 avec coefficient 1 et 16 avec coeffi-\ncient 2, sa moyenne pondérée sera donnée par :\n\n$$\\dfrac{14 \\times 3 + 12 \\times 1 + 16 \\times 2}{3+1+2} = 14,333 \\ldots $$\n\nÉcrire une fonction `moyenne` :\n\n- qui prend en paramètre une liste notes non vide de tuples à deux éléments entiers\nde la forme `(note, coefficient)` (`int` ou `float`) positifs ou nuls ;\n- et qui renvoie la moyenne pondérée des notes de la liste sous forme de flottant si la\nsomme des coefficients est non nulle, `None` sinon.\n\n!!!\n\n??? example Exemple\n```python\n>>> moyenne([(8, 2), (12, 0), (13.5, 1), (5, 0.5)])\n9.142857142857142\n>>> moyenne([(3, 0), (5, 0)])\nNone\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"44.2\"></a>\n\n!!! question Sujet 44 — Exercice 2\n\n<img src=\"attachment:image_424c128a\" width=\"300px\" style=\"float: right; margin-left: 1rem;\">\n\nOn travaille sur des dessins en noir et blanc obtenus à partir de pixels noirs et blancs :\nLa figure « cœur » ci-contre va servir d’exemple.\nOn la représente par une grille de nombres, c’est-à-dire par une liste composée de sous-listes de même longueurs.\nChaque sous-liste représentera donc une ligne du dessin.\n\nDans le code ci-dessous, la fonction `affiche` permet d’afficher le dessin. Les pixels noirs (1 dans la grille) seront représentés par le caractère `\"*\"` et les blancs (0 dans la grille) par deux espaces.\n\nLa fonction `liste_zoom` prend en arguments une liste `liste_depart` et un entier `k`. Elle renvoie une liste où chaque élément de `liste_depart` est dupliqué `k` fois.\n\nLa fonction `dessin_zoom` prend en argument la grille `dessin` et renvoie une grille où toutes les lignes de `dessin` sont zoomées `k` fois et répétées `k` fois.\n\nCompléter les fonctions `liste_zoom` et `dessin_zoom` du code suivant.\n!!!\n\n??? example Exemple\n```python\n>>> coeur = [[0, 1, 1, 0, 1, 1, 0],\n             [1, 0, 0, 1, 0, 0, 1],\n             [1, 0, 0, 0, 0, 0, 1],\n             [1, 0, 0, 0, 0, 0, 1],\n             [0, 1, 0, 0, 0, 1, 0],\n             [0, 0, 1, 0, 1, 0, 0],\n             [0, 0, 0, 1, 0, 0, 0]]\n\n>>> affiche(coeur)\n\n  * *   * *   \n*     *     * \n*           * \n*           * \n  *       *   \n    *   *     \n      *\n        \n>>> affiche(dessin_zoom(coeur, 2))\n\n    * * * *     * * * *     \n    * * * *     * * * *     \n* *         * *         * * \n* *         * *         * * \n* *                     * * \n* *                     * * \n* *                     * * \n* *                     * * \n    * *             * *     \n    * *             * *     \n        * *     * *         \n        * *     * *         \n            * *             \n            * *             \n```\n???","attachments":{"image_424c128a":{"image/png":"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"}}},{"metadata":{"trusted":false},"cell_type":"code","source":"def affiche(dessin):\n    \"\"\" Affichage une grille. Les 1 sont représentés par des * , les 0 par un espace. \"\"\" \n    for ligne in dessin:\n        affichage = ''\n        for col in ligne:\n            if col == 1:\n                affichage = affichage + '* '\n            else:\n                affichage = affichage + '  '\n        print(affichage)","execution_count":null,"outputs":[]},{"metadata":{"trusted":false},"cell_type":"code","source":"def liste_zoom(liste_depart,k):\n    \"\"\" Renvoie une liste contenant k fois chaque élément de liste_depart. \"\"\"\n    liste_zoomee = ... \n    for elt in ... : \n        for i in range(k):\n            ...\n    return liste_zoomee","execution_count":null,"outputs":[]},{"metadata":{"trusted":false},"cell_type":"code","source":"def dessin_zoom(grille,k):\n    \"\"\" Renvoie une grille où les lignes sont zoomées k fois ET répétées k fois. \"\"\"\n    grille_zoomee = []\n    for ligne in grille:\n        ligne_zoomee = ... \n        for i in range(k):\n            ... .append(...) \n    return grille_zoomee","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"45.1\"></a>\n\n!!! question Sujet 45 — Exercice 1\nOn considère des chaînes de caractères contenant uniquement des majuscules et des caractères `*` appelées *mots à trous*. Par exemple `INFO*MA*IQUE`, `***I***E**` et `*S*` sont des mots à trous.\n\nProgrammer une fonction `correspond` qui :\n\n- prend en paramètres deux chaînes de caractères `mot` et `mot_a_trous` où\n`mot_a_trous` est un mot à trous comme indiqué ci-dessus, \n- renvoie :\n    - `True` si on peut obtenir `mot` en remplaçant convenablement les caractères\n`'*'` de `mot_a_trous`.\n    - `False` sinon.\n!!!\n\n??? example Exemple\n```python\n>>> correspond('INFORMATIQUE', 'INFO*MA*IQUE')\nTrue\n>>> correspond('AUTOMATIQUE', 'INFO*MA*IQUE')\nFalse\n>>> correspond('STOP', 'S*')\nFalse\n>>> correspond('AUTO', '*UT*')\nTrue\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"45.2\"></a>\n\n\n!!! question Sujet 45 — Exercice 2\nOn considère au plus 26 personnes A, B, C, D, E, F ... qui peuvent s'envoyer des messages avec deux règles à respecter :\n\n- chaque personne ne peut envoyer des messages qu'à une seule personne (éventuellement elle-même),\n- chaque personne ne peut recevoir des messages qu'en provenance d'une seule personne (éventuellement elle-même).\n\n\nVoici un exemple — avec 6 personnes — de « plan d'envoi des messages » qui respecte les règles ci-dessus, puisque chaque personne est présente une seule fois dans chaque colonne :\n\n- A envoie ses messages à E\n- E envoie ses messages à B\n- B envoie ses messages à F\n- F envoie ses messages à A\n- C envoie ses messages à D\n- D envoie ses messages à C\n\nEt le dictionnaire correspondant à ce plan d'envoi est le suivant :\n\n```python\nplan_a = {'A':'E', 'B':'F', 'C':'D', 'D':'C', 'E':'B', 'F':'A'}\n```\n\nUn cycle est une suite de personnes dans laquelle la dernière est la même que la première.\n\nSur le plan d'envoi `plan_a` des messages ci-dessus, il y a deux cycles distincts : un premier cycle avec A, E, B, F et un second cycle avec C et D.\n\nEn revanche, le plan d’envoi `plan_b` ci-dessous :\n\n```python\nplan_b = {'A':'C', 'B':'F', 'C':'E', 'D':'A', 'E':'B', 'F':'D'}\n```\n\ncomporte un unique cycle : A, C, E, B, F, D. Dans ce cas, lorsqu’un plan d’envoi comporte un *unique cycle*, on dit que le plan d’envoi est *cyclique*.\n\nPour savoir si un plan d'envoi de messages comportant N personnes est cyclique, on peut utiliser l'algorithme ci-dessous :\n\n\n- on part d’un expéditeur (ici A) et on inspecte son destinataire dans le plan d'envoi,\n- chaque destinataire devient à son tour expéditeur, selon le plan d’envoi, tant qu’on ne « retombe » pas sur l’expéditeur initial,\n- le plan d’envoi est cyclique si on l’a parcouru en entier.\n\n\nCompléter la fonction `est_cyclique` en respectant la spécification.\n!!!\n\n!!! info Indication\nOn rappelle que la fonction Python `len` permet d'obtenir la taille d'un dictionnaire, c'est-à-dire son nombre de clés.\n!!!\n\n??? example Exemples\n```python\n>>> est_cyclique({'A':'E','F':'A','C':'D','E':'B','B':'F','D':'C'})\nFalse\n>>> est_cyclique({'A':'E','F':'C','C':'D','E':'B','B':'F','D':'A'})\nTrue\n>>> est_cyclique({'A':'B','F':'C','C':'D','E':'A','B':'F','D':'E'})\nTrue\n>>> est_cyclique({'A':'B','F':'A','C':'D','E':'C','B':'F','D':'E'})\nFalse\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def est_cyclique(plan):\n    \"\"\" Prend en paramètre un dictionnaire `plan` correspondant à \n    un plan d'envoi de messages (ici entre les personnes A, B, C, D, E, F).\n    Renvoie True si le plan d'envoi de messages est cyclique et False sinon. \"\"\"\n    \n    expediteur = 'A'\n    destinataire = plan[...] \n    nb_destinataires = 1\n\n    while destinataire != expediteur:\n        destinataire = ... \n        nb_destinataires = ... \n\n    return nb_destinataires == ...","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"46.1\"></a>\n\n!!! question Sujet 46 — Exercice 1\nÉcrire une fonction `compte_occurrences` prenant en paramètres une valeur `x` et un tableau `tab` (de type `list`) et renvoyant le nombre d'occurrences de `x` dans tab.\n!!!\n\n!!! warning Règle à respecter\nL'objectif de cet exercice étant de parcourir un tableau, il est interdit d'utiliser la méthode `count` des listes Python.\n!!!\n\n??? example Exemples\n```python\n>>> compte_occurrences(5, [])\n0\n>>> compte_occurrences(5, [-2, 3, 1, 5, 3, 7, 4])\n1\n>>> compte_occurrences('a', ['a','b','c','a','d','e','a'])\n3\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"46.2\"></a>\n\n!!! question Sujet 46 — Exercice 2\nOn considère dans cet exercice un algorithme glouton pour le rendu de monnaie. Pour rendre une somme en monnaie, on utilise à chaque fois la plus grosse pièce possible et ainsi de suite jusqu'à ce que la somme restante à rendre soit nulle.\n\nLes pièces de monnaie utilisées sont :\n\n```python\npieces = [1, 2, 5, 10, 20, 50, 100, 200]\n```\n\nOn souhaite écrire une fonction `rendu_monnaie` qui prend en paramètres\n\n- un entier `somme_due` représentant la somme à payer,\n- un entier `somme_versee` représentant la somme versée qui est supérieure ou égale à `somme_due`,\n\net qui renvoie un tableau de type `list` contenant les pièces qui composent le rendu de la monnaie restante, c'est-à-dire de `somme_versee - somme_due`.\n\nAinsi, l'instruction `rendu_monnaie(452, 500)` renvoie le tableau `[20, 20, 5, 2, 1]`. En effet, la somme à rendre est de 48 euros soit 20 + 20 + 5 + 2 + 1.\n\nCompléter et tester la fonction `rendu_monnaie` donnée ci-dessous.\n!!!\n\n??? example Exemples\n```python\n>>> rendu_monnaie(700, 700)\n[]\n>>> rendu_monnaie(102, 500)\n[200, 100, 50, 20, 20, 5, 2, 1]\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"pieces = [1, 2, 5, 10, 20, 50, 100, 200]\n\ndef rendu_monnaie(somme_due, somme_versee):\n    '''Renvoie la liste des pièces à rendre pour rendre la monnaie\n    lorsqu'on doit rendre somme_versee - somme_due'''\n    rendu = ...\n    a_rendre = ...\n    i = len(pieces) - 1\n    while a_rendre > ...:\n        while pieces[i] > a_rendre:\n            i = i - 1\n        rendu.append(...)\n        a_rendre = ...\n    return rendu","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"47.1\"></a>\n\n!!! question Sujet 47 — Exercice 1\nDans cet exercice, un arbre binaire de caractères est stocké sous la forme d’un\ndictionnaire où les clefs sont les caractères des nœuds de l’arbre et les valeurs, pour\nchaque clef, la liste des caractères des fils gauche et droit du nœud. On utilise la valeur `''` pour représenter un fils vide.\n\nPar exemple, l’arbre suivant :\n\n<img src=\"attachment:image_0b6d302d\" style=\"width:400px; border-radius: 5px;\" />\n\nest stocké comme :\n\n```python\na = {'F':['B','G'], 'B':['A','D'], 'A':['',''], 'D':['C','E'],\n     'C':['',''], 'E':['',''], 'G':['','I'], 'I':['','H'],\n     'H':['','']}\n```\n\nÉcrire une fonction récursive `taille` prenant en paramètres un arbre binaire `arbre` non vide\nsous la forme d’un dictionnaire et un caractère `lettre` qui est la valeur du sommet de\nl’arbre, et qui renvoie la taille de l’arbre à savoir le nombre total de nœuds.\n\nOn observe que, par exemple, `arbre[lettre][0]`, respectivement\n`arbre[lettre][1]`, permet d’atteindre la clé du sous-arbre gauche, respectivement\ndroit, de l’arbre `arbre` de sommet `lettre`.\n!!!\n\n??? example Exemple\n```python\n>>> taille(a, 'F')\n9\n>>> taille(a, 'B')\n5\n>>> taille(a, 'I')\n2\n```\n???","attachments":{"image_0b6d302d":{"image/png":"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"}}},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"47.2\"></a>\n\n!!! question Sujet 47 — Exercice 2\nOn considère l'algorithme de tri de tableau suivant : à chaque étape, on parcourt le sous-tableau des éléments non rangés et on place le plus petit élément en première position de ce sous-tableau.\n\nExemple avec le tableau :\n```python\nt = [41, 55, 21, 18, 12, 6, 25]\n``` \n\n1. On parcourt tous les éléments du tableau, on permute le plus petit élément avec le premier. Le tableau devient :\n\n    ```python\n    t = [6, 55, 21, 18, 12, 41, 25]\n    ``` \n\n2. On parcourt tous les éléments **sauf le premier**, on permute le plus petit élément trouvé avec le second. Le tableau devient :\n\n    ```python\n    t = [6, 12, 21, 18, 55, 41, 25]\n    ``` \n    \nEt ainsi de suite. \n\nCompléter le code ci-dessous qui implémente cet algorithme. \n!!!\n\n??? example Exemples\n```python\n>>> tab = [41, 55, 21, 18, 12, 6, 25]\n>>> tri_selection(tab)\n>>> tab\n[6, 12, 18, 21, 25, 41, 55]\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def echange(tab, i, j):\n    \"\"\" Échange les éléments d'indice i et j dans le tableau tab. \"\"\"\n    temp = ... \n    tab[i] = ... \n    tab[j] = ... \n\ndef tri_selection(tab):\n    \"\"\" Trie le tableau tab dans l'ordre croissant par la méthode du tri par sélection. \"\"\"\n    n = len(tab)\n    for k in range(...): \n        imin = ... \n        for i in range(..., n): \n            if tab[i] < ...: \n                imin = i\n        echange(tab, ..., ...)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"48.1\"></a>\n\n!!! question Sujet 48 — Exercice 1\nProgrammer la fonction `recherche`, prenant en paramètres un tableau non vide `tab` (type `list`) d'entiers et un entier `n`, et qui renvoie l'indice de la **dernière** occurrence de l'élément cherché. Si l'élément n'est pas présent, la fonction renvoie `None`.\n!!!\n\n??? example Exemples\n```python\n>>> recherche([5, 3], 1)\nNone\n>>> recherche([2, 4], 2)\n0\n>>> recherche([2, 3, 5, 2, 4], 2)\n3\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a class=\"anchor\" name=\"48.2\"></a>\n\n!!! question Sujet 48 — Exercice 2\nOn souhaite programmer une fonction donnant la distance la plus courte entre un point\nde départ et une liste de points. Les points sont tous à coordonnées entières.\nLes points sont donnés sous la forme d'un tuple de deux entiers.\nLa liste des points à traiter est donc un tableau de tuples.\n\nOn rappelle que la distance entre deux points du plan de coordonnées $(x;y)$ et $(x';y')$\nvérifie la formule :\n\n$$d^2=(x-x')^2+(y-y')^2$$\n\n\nCompléter le code des fonctions `distance_carre` et `point_le_plus_proche` fournies ci-dessous pour qu’elles répondent à leurs spécifications.\n\n!!!\n\n??? example Exemples\n```python\n>>> distance_carre((1, 0), (5, 3))\n25\n>>> distance_carre((1, 0), (0, 1))\n2\n>>> point_le_plus_proche((0, 0), [(7, 9), (2, 5), (5, 2)])\n(2, 5)\n>>> point_le_plus_proche((5, 2), [(7, 9), (2, 5), (5, 2)])\n(5, 2)\n```\n???"},{"metadata":{"trusted":false},"cell_type":"code","source":"def distance_carre(point1, point2):\n    \"\"\" Calcule et renvoie la distance au carre entre\n    deux points.\"\"\"\n    return (...)**2 + (...)**2\n\n\ndef point_le_plus_proche(depart, tab):\n    \"\"\" Renvoie les coordonnées du premier point du tableau tab se\n    trouvant à la plus courte distance du point depart.\"\"\"\n    min_point = tab[0]\n    min_dist = ...\n    for i in range(1, len(tab)):\n        if distance_carre(tab[i], depart) < ...:\n            min_point = ...\n            min_dist = ...\n    return min_point","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"name":"python3","display_name":"Python 3","language":"python"}},"nbformat":4,"nbformat_minor":2}