diff --git a/.ipynb_checkpoints/Projet_algo-checkpoint.ipynb b/.ipynb_checkpoints/Projet_algo-checkpoint.ipynb
deleted file mode 100644
index dc1b24c..0000000
--- a/.ipynb_checkpoints/Projet_algo-checkpoint.ipynb
+++ /dev/null
@@ -1,786 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "83c2b1e7-b401-4a15-adf0-d43cebf9ad81",
-   "metadata": {},
-   "source": [
-    "# Projet algorithme # \n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "0b4f92e5-ac40-4491-983d-890c4f0f6694",
-   "metadata": {},
-   "source": [
-    "## Contexte du projet: \n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "5f483b31-1246-4f00-ae39-718ef92ce9eb",
-   "metadata": {},
-   "source": [
-    "L'ADEME a lancé un appel à manifestation d'intérêt pour développer des solutions de mobilité adaptées à différents territoires. CesiCDP, en collaboration avec des partenaires, s'est spécialisé dans la Mobilité Multimodale Intelligente. Dans le cadre de cet appel, l'équipe de CesiCDP travaille sur la gestion de tournées de livraison pour minimiser les trajets et optimiser l'efficacité. L'objectif est d'obtenir de nouveaux marchés et des financements pour poursuivre le développement de l'entreprise. Des contraintes supplémentaires seront ajoutées pour rendre le problème plus réaliste et intéressant pour l'ADEME."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "fc23daaf-9f25-4c5a-bf6c-300a7ed8d623",
-   "metadata": {},
-   "source": [
-    "Notre but est de réaliser un algorithme permettant de passer par tous les points de livraisons avec un temps optimisé."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d633beb7-8f26-46d4-9cd9-1d0093e5b5c3",
-   "metadata": {},
-   "source": [
-    "## Contrainte :\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "35fc1c3c-d7a9-4423-a948-aa00ab51dbf4",
-   "metadata": {},
-   "source": [
-    "Les contraintes que nous avons choisi sont les suivantes:\n",
-    "- Avoir plusieurs camions disponible simultanément pour effectuer les livraisons.\n",
-    "- Fenêtre de temps de livraison pour chaque object\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ba356166-604a-4627-ac0f-93b76eb7a22d",
-   "metadata": {},
-   "source": [
-    "## Formulation du problème"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "c4d6888b-14e6-4745-880f-0a063ebf7476",
-   "metadata": {},
-   "source": [
-    "Le problème que nous avons avec les contraintes ci-dessus est le problème VRPTW (Vehicule Routing Problem avec la contrainte supplémentaire de Time Window).\n",
-    "\n",
-    "- Tous les clients doivent être déservis\n",
-    "- Un client ne peut être servi que par un et un seul véhicule.\n",
-    "- En quittant un client, un véhicule peut aller que vers un seul autre client.\n",
-    "- Un véhicule ne peut servir un client que s'il a assez de capacité pour servir le client.\n",
-    "\n",
-    "On va donc affecter chaque client à une tournée effectué par un seul véhicule.\n",
-    "\n",
-    "e.\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3346ae96-1c36-4e9d-9480-3ab4657c7d68",
-   "metadata": {},
-   "source": [
-    "## Objectifs\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "50a3e56e-3bdc-4f2c-a811-8433ffeb2a34",
-   "metadata": {},
-   "source": [
-    "L'objectif de notre algorithme est de calculer et de fournir les meilleurs itinéraires pour pouvoir livrer tout les clients avec le nombre de camion disponible. \n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "dbd49849-988e-4915-8e28-e00085f4b97e",
-   "metadata": {},
-   "source": [
-    "Il est possible de minimiser le nombre de camion nécessaire en optimisant les trajets et leurs temps.\n",
-    "Il faut donc pour cela minimiser le temps de chaque parcours."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "16b3b8a7-4658-4509-a511-7a395654e6f1",
-   "metadata": {},
-   "source": [
-    "## Modélisation mathématique"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "286caeb7-26cb-486a-b5f0-94a3f24811fd",
-   "metadata": {},
-   "source": [
-    "Nous allons représenter notre problème par un graphe <br>\n",
-    "$G=(V,E)$\n",
-    "\n",
-    "$V$ représente les sommets du graphe qui correspondent aux clients\n",
-    "\n",
-    "$E$ représente les arcs entre deux clients $i,j \\in V$\n",
-    "\n",
-    "\n",
-    "\n",
-    "On a un ensemble $C=\\{1,2,...,n_c\\}$ de clients qui doivent obtenir leur livraison qui provient du dépot.\n",
-    "\n",
-    "\n",
-    "L'ensemble des emplacements des clients est défini comme :\n",
-    "$V = C \\cup \\{0, n_c+1\\} $\n",
-    "\n",
-    "$0$ et $n_c+1$ représente le dépot, puisqu'on doit revenir au point de départ le dépots est le dernier client plus un. \n",
-    "\n",
-    "\n",
-    "On a un ensemble $V=\\{1,2,...,n_v\\}$ de véhicule disponible et chaque véhicule possède une capacité $Q$.\n",
-    "\n",
-    "\n",
-    "\n",
-    "# Variables de décisions: \n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "5a3512bc-02da-4e2d-b8f6-65e70c3fe686",
-   "metadata": {},
-   "source": [
-    "Variables de décision:\n",
-    "- Un ensemble de k véhicule\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "7670fdf4-884c-4352-83fa-eed0c8b50074",
-   "metadata": {},
-   "source": [
-    "# Initialisation de la matrice"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 72,
-   "id": "337db031-2e38-4b6d-9d57-74e277d7f033",
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[[0 0 0 ... 0 0 0]\n",
-      " [0 0 0 ... 0 0 0]\n",
-      " [0 0 0 ... 0 0 0]\n",
-      " ...\n",
-      " [0 0 0 ... 0 0 1]\n",
-      " [0 0 0 ... 0 0 0]\n",
-      " [0 0 0 ... 1 0 0]]\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import random\n",
-    "import networkx as nx\n",
-    "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
-    "\n",
-    "def generate_graph(num_nodes):\n",
-    "    # Créer un graphe vide\n",
-    "    G = nx.Graph()\n",
-    "    # Ajouter les sommets au graphe\n",
-    "    G.add_nodes_from(range(1, num_nodes + 1))\n",
-    "    # Ajouter au moins deux arêtes par sommet\n",
-    "    for node in G.nodes():\n",
-    "        connected_nodes = sorted(set(G.nodes()) - {node})  # Exclure le sommet lui-même et trier les nœuds\n",
-    "        distance1 = random.randint(1,10) \n",
-    "        distance2 = random.randint(1,10)\n",
-    "        random_nodes = random.sample(connected_nodes, 2)\n",
-    "        G.add_edges_from([(node, random_nodes[0], {'distance': distance1}), \n",
-    "                          (node, random_nodes[1], {'distance': distance2})])\n",
-    "    # Ajouter des arêtes supplémentaires de manière aléatoire\n",
-    "    while not nx.is_connected(G):\n",
-    "        node1, node2 = random.sample(G.nodes(), 2)\n",
-    "        if not G.has_edge(node1, node2):\n",
-    "            distance = random.randint(1,10)\n",
-    "            G.add_edge(node1, node2, distance=distance)\n",
-    "    return G\n",
-    "\n",
-    "graph = generate_graph(100)\n",
-    "A = nx.adjacency_matrix(graph).todense()\n",
-    "\n",
-    "\n",
-    "    \n",
-    "\n",
-    "\n",
-    "print(A)\n",
-    "\n",
-    "# Dessiner le graphe\n",
-    "nx.draw(graph, with_labels=True)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "0bcb13e3-9f98-4601-8140-8a2147757aed",
-   "metadata": {},
-   "source": [
-    "Définition des données du problème VRPTW"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 73,
-   "id": "8266e414-d350-4101-8f15-9cc05ee02934",
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "100\n",
-      "Client 0 : (0, inf)\n",
-      "Client 0 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 1 : (88, 128)\n",
-      "Client 1 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 2 : (5, 31)\n",
-      "Client 2 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 3 : (73, 107)\n",
-      "Client 3 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 4 : (81, 97)\n",
-      "Client 4 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 5 : (33, 75)\n",
-      "Client 5 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 6 : (87, 98)\n",
-      "Client 6 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 7 : (37, 56)\n",
-      "Client 7 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 8 : (26, 49)\n",
-      "Client 8 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 9 : (31, 78)\n",
-      "Client 9 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 10 : (21, 59)\n",
-      "Client 10 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 11 : (68, 91)\n",
-      "Client 11 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 12 : (24, 49)\n",
-      "Client 12 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 13 : (60, 83)\n",
-      "Client 13 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 14 : (6, 53)\n",
-      "Client 14 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 15 : (93, 128)\n",
-      "Client 15 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 16 : (55, 81)\n",
-      "Client 16 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 17 : (99, 128)\n",
-      "Client 17 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 18 : (31, 49)\n",
-      "Client 18 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 19 : (49, 97)\n",
-      "Client 19 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 20 : (94, 104)\n",
-      "Client 20 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 21 : (99, 113)\n",
-      "Client 21 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 22 : (52, 94)\n",
-      "Client 22 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 23 : (85, 97)\n",
-      "Client 23 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 24 : (35, 61)\n",
-      "Client 24 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 25 : (29, 56)\n",
-      "Client 25 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 26 : (33, 78)\n",
-      "Client 26 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 27 : (54, 66)\n",
-      "Client 27 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 28 : (92, 128)\n",
-      "Client 28 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 29 : (46, 85)\n",
-      "Client 29 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 30 : (15, 44)\n",
-      "Client 30 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 31 : (63, 91)\n",
-      "Client 31 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 32 : (94, 123)\n",
-      "Client 32 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 33 : (36, 80)\n",
-      "Client 33 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 34 : (97, 122)\n",
-      "Client 34 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 35 : (40, 76)\n",
-      "Client 35 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 36 : (69, 96)\n",
-      "Client 36 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 37 : (30, 67)\n",
-      "Client 37 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 38 : (21, 64)\n",
-      "Client 38 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 39 : (22, 41)\n",
-      "Client 39 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 40 : (11, 51)\n",
-      "Client 40 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 41 : (74, 94)\n",
-      "Client 41 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 42 : (53, 101)\n",
-      "Client 42 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 43 : (22, 41)\n",
-      "Client 43 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 44 : (15, 40)\n",
-      "Client 44 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 45 : (58, 76)\n",
-      "Client 45 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 46 : (6, 41)\n",
-      "Client 46 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 47 : (12, 27)\n",
-      "Client 47 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 48 : (59, 91)\n",
-      "Client 48 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 49 : (98, 109)\n",
-      "Client 49 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 50 : (53, 94)\n",
-      "Client 50 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 51 : (73, 100)\n",
-      "Client 51 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 52 : (26, 45)\n",
-      "Client 52 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 53 : (8, 24)\n",
-      "Client 53 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 54 : (46, 72)\n",
-      "Client 54 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 55 : (94, 111)\n",
-      "Client 55 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 56 : (2, 27)\n",
-      "Client 56 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 57 : (40, 59)\n",
-      "Client 57 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 58 : (26, 37)\n",
-      "Client 58 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 59 : (94, 114)\n",
-      "Client 59 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 60 : (50, 74)\n",
-      "Client 60 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 61 : (60, 96)\n",
-      "Client 61 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 62 : (1, 28)\n",
-      "Client 62 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 63 : (96, 123)\n",
-      "Client 63 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 64 : (59, 98)\n",
-      "Client 64 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 65 : (54, 94)\n",
-      "Client 65 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 66 : (0, 10)\n",
-      "Client 66 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 67 : (62, 105)\n",
-      "Client 67 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 68 : (97, 126)\n",
-      "Client 68 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 69 : (86, 132)\n",
-      "Client 69 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 70 : (2, 22)\n",
-      "Client 70 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 71 : (93, 118)\n",
-      "Client 71 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 72 : (75, 116)\n",
-      "Client 72 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 73 : (74, 98)\n",
-      "Client 73 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 74 : (89, 129)\n",
-      "Client 74 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 75 : (53, 83)\n",
-      "Client 75 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 76 : (39, 77)\n",
-      "Client 76 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 77 : (88, 111)\n",
-      "Client 77 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 78 : (62, 100)\n",
-      "Client 78 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 79 : (27, 66)\n",
-      "Client 79 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 80 : (27, 73)\n",
-      "Client 80 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 81 : (60, 98)\n",
-      "Client 81 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 82 : (52, 77)\n",
-      "Client 82 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 83 : (24, 63)\n",
-      "Client 83 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 84 : (95, 110)\n",
-      "Client 84 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 85 : (81, 118)\n",
-      "Client 85 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 86 : (78, 113)\n",
-      "Client 86 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 87 : (58, 105)\n",
-      "Client 87 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 88 : (31, 61)\n",
-      "Client 88 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 89 : (6, 47)\n",
-      "Client 89 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 90 : (79, 89)\n",
-      "Client 90 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 91 : (54, 94)\n",
-      "Client 91 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 92 : (34, 55)\n",
-      "Client 92 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 93 : (58, 103)\n",
-      "Client 93 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 94 : (57, 79)\n",
-      "Client 94 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 95 : (70, 114)\n",
-      "Client 95 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 96 : (75, 86)\n",
-      "Client 96 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 97 : (13, 38)\n",
-      "Client 97 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 98 : (61, 108)\n",
-      "Client 98 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n",
-      "Client 99 : (96, 108)\n",
-      "Client 99 : {1: 5, 2: 10, 3: 3, 4: 7, 5: 3, 6: 5, 7: 9, 8: 1, 9: 10, 10: 3, 11: 9, 12: 6, 13: 5, 14: 10, 15: 1, 16: 7, 17: 9, 18: 8, 19: 10, 20: 9, 21: 3, 22: 10, 23: 6, 24: 3, 25: 9, 26: 9, 27: 10, 28: 8, 29: 3, 30: 10, 31: 6, 32: 2, 33: 3, 34: 6, 35: 10, 36: 4, 37: 10, 38: 9, 39: 10, 40: 2, 41: 5, 42: 4, 43: 3, 44: 6, 45: 5, 46: 10, 47: 3, 48: 9, 49: 5, 50: 1, 51: 7, 52: 2, 53: 5, 54: 7, 55: 4, 56: 4, 57: 4, 58: 9, 59: 8, 60: 4, 61: 10, 62: 9, 63: 6, 64: 1, 65: 6, 66: 9, 67: 10, 68: 4, 69: 2, 70: 4, 71: 2, 72: 3, 73: 9, 74: 3, 75: 1, 76: 8, 77: 10, 78: 9, 79: 2, 80: 4, 81: 1, 82: 4, 83: 9, 84: 10, 85: 3, 86: 1, 87: 3, 88: 8, 89: 8, 90: 9, 91: 8, 92: 8, 93: 6, 94: 5, 95: 9, 96: 8, 97: 6, 98: 3, 99: 10, 100: 5}\n"
-     ]
-    }
-   ],
-   "source": [
-    "#k Nombre de camion disponible\n",
-    "k = 4\n",
-    "\n",
-    "#Q capacité de marchandise de chaque camion\n",
-    "Q = 10\n",
-    "\n",
-    "# Implémentez les étapes 1 à 6 de l'algorithme ACO ici\n",
-    "\n",
-    "# 1. Définir les données du problème VRPTW\n",
-    "# Votre code pour attribuer les demandes et les fenêtres de temps aux clients\n",
-    "# Attribuer des fenêtres de temps aux clients\n",
-    "def assign_time_windows(graph):\n",
-    "    # Créer un dictionnaire pour stocker les fenêtres de temps des clients\n",
-    "    time_windows = {}\n",
-    "\n",
-    "    # Définir la fenêtre de temps pour le dépôt central (nœud 0)\n",
-    "    time_windows[0] = (0, float('inf'))\n",
-    "\n",
-    "    # Assigner une fenêtre de temps à chaque client\n",
-    "    for node in graph.nodes():\n",
-    "        if node !=0 and node !=100 :\n",
-    "            # Générer une fenêtre de temps aléatoire pour chaque client\n",
-    "            start_time = random.randint(0, 100)\n",
-    "            end_time = start_time + random.randint(10, 50)\n",
-    "            time_windows[node] = (start_time, end_time)\n",
-    "\n",
-    "    return time_windows\n",
-    "\n",
-    "# Attribuer les fenêtres de temps aux clients\n",
-    "time_windows = assign_time_windows(graph)\n",
-    "\n",
-    "print(max(graph.nodes()))\n",
-    "# Afficher les fenêtres de temps assignées\n",
-    "for node, window in time_windows.items():\n",
-    "    print(\"Client\", node, \":\", window)\n",
-    "    \n",
-    "\n",
-    "    \n",
-    "\n",
-    "\n",
-    "\n",
-    "# 3. Initialiser la matrice de phéromones\n",
-    "# Votre code pour initialiser la matrice de phéromones\n",
-    "\n",
-    "# 4. Implémenter la fonction de construction de la solution par une fourmi\n",
-    "# V\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "4fcc61cf-b917-4d41-b7c4-e79ffc0c7bcd",
-   "metadata": {},
-   "source": [
-    "# Définition de l'algorithme des fourmis"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 69,
-   "id": "5a55bfc8-a5b5-4b25-b924-ee906b7b3d7e",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Meilleure solution : [0, 0]\n",
-      "Coût de la meilleure solution : 0\n"
-     ]
-    }
-   ],
-   "source": [
-    "# 2. Définir les paramètres de l'algorithme ACO\n",
-    "num_ants = 10  # Nombre de fourmis\n",
-    "num_iterations = 100  # Nombre d'itérations\n",
-    "\n",
-    "# 3. Initialiser la matrice de phéromones\n",
-    "pheromones = 0.1 * np.ones((num_nodes, num_nodes))  # Matrice de phéromones initiale\n",
-    "\n",
-    "# 4. Implémenter la fonction de construction de la solution par une fourmi\n",
-    "def construct_solution(pheromones, visibility, demands, time_windows):\n",
-    "    solutions = []\n",
-    "    costs = []\n",
-    "    for ant in range(num_ants):\n",
-    "        current_node = 0  # Dépôt central\n",
-    "        unvisited_nodes = set(range(1, num_nodes))  # Tous les clients non visités\n",
-    "        path = [current_node]\n",
-    "        current_time = 0\n",
-    "        current_capacity = Q\n",
-    "\n",
-    "        # Construction du chemin de la fourmi\n",
-    "        while unvisited_nodes:\n",
-    "            feasible_nodes = []\n",
-    "            feasible_probabilities = []\n",
-    "            for next_node in unvisited_nodes:\n",
-    "                if current_node != 0 and next_node != 0 and 'distance' in graph.edges[current_node, next_node]:\n",
-    "                    if current_time + graph.edges[current_node, next_node]['distance'] <= time_windows[next_node][1] and \\\n",
-    "                            current_capacity >= demands[next_node]:\n",
-    "                        feasible_nodes.append(next_node)\n",
-    "                        probability = pheromones[current_node][next_node] ** pheromone_importance \\\n",
-    "                                      * visibility[current_node][next_node] ** distance_importance\n",
-    "                        feasible_probabilities.append(probability)\n",
-    "            if feasible_nodes:\n",
-    "                feasible_probabilities = np.array(feasible_probabilities)\n",
-    "                feasible_probabilities /= np.sum(feasible_probabilities)\n",
-    "                next_node = random.choices(feasible_nodes, weights=feasible_probabilities)[0]\n",
-    "                current_node = next_node\n",
-    "                path.append(next_node)\n",
-    "                unvisited_nodes.remove(next_node)\n",
-    "                current_time += graph.edges[current_node, next_node]['distance']\n",
-    "                current_capacity -= demands[next_node]\n",
-    "            else:\n",
-    "                break\n",
-    "\n",
-    "        # Ajout du retour au dépôt central\n",
-    "        path.append(0)\n",
-    "\n",
-    "        # Calcul du coût du chemin\n",
-    "        cost = sum(A[path[i]][path[i + 1]] for i in range(len(path) - 1))\n",
-    "\n",
-    "        solutions.append(path)\n",
-    "        costs.append(cost)\n",
-    "\n",
-    "    return solutions, costs\n",
-    "\n",
-    "# 5. Mettre à jour les phéromones\n",
-    "def update_pheromones(pheromones, solutions, costs):\n",
-    "    for solution, cost in zip(solutions, costs):\n",
-    "        for i in range(len(solution) - 1):\n",
-    "            current_node = solution[i]\n",
-    "            next_node = solution[i + 1]\n",
-    "            if cost != 0:\n",
-    "                pheromones[current_node][next_node] += 1 / cost\n",
-    "    return pheromones\n",
-    "\n",
-    "# 6. Répéter les étapes 4 et 5 pour un nombre donné d'itérations\n",
-    "best_solution = None\n",
-    "best_cost = float('inf')\n",
-    "\n",
-    "for iteration in range(num_iterations):\n",
-    "    # Construction des solutions par les fourmis\n",
-    "    solutions, costs = construct_solution(pheromones, visibility, demands, time_windows)\n",
-    "\n",
-    "    # Mise à jour des phéromones\n",
-    "    pheromones = update_pheromones(pheromones, solutions, costs)\n",
-    "\n",
-    "    # Recherche de la meilleure solution\n",
-    "    best_index = np.argmin(costs)\n",
-    "    if costs[best_index] < best_cost:\n",
-    "        best_solution = solutions[best_index]\n",
-    "        best_cost = costs[best_index]\n",
-    "\n",
-    "# Affichage de la meilleure solution trouvée\n",
-    "print(\"Meilleure solution :\", best_solution)\n",
-    "print(\"Coût de la meilleure solution :\", best_cost)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "301fb5e8-9804-4592-9193-5915f1b9ecad",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "import random\n",
-    "import numpy as np\n",
-    "\n",
-    "# Fonction d'évaluation de la qualité d'une solution (ici, la distance totale)\n",
-    "def evaluate_solution(solution, distances):\n",
-    "    total_distance = 0\n",
-    "    num_nodes = len(solution)\n",
-    "\n",
-    "    for i in range(num_nodes - 1):\n",
-    "        current_node = solution[i]\n",
-    "        next_node = solution[i + 1]\n",
-    "        total_distance += distances[current_node][next_node]\n",
-    "\n",
-    "    # Ajouter la distance de retour au dépôt\n",
-    "    total_distance += distances[solution[-1]][solution[0]]\n",
-    "\n",
-    "    return total_distance\n",
-    "\n",
-    "    \n",
-    "# Algorithme ACO\n",
-    "def ant_colony_optimization(distances, num_ants, num_iterations, evaporation_rate, alpha, beta):\n",
-    "    num_nodes = len(distances)\n",
-    "    pheromone = np.ones((num_nodes, num_nodes))  # Matrice de phéromones initiale\n",
-    "    best_solution = None\n",
-    "    best_distance = float('inf')\n",
-    "\n",
-    "    for iteration in range(num_iterations):\n",
-    "        # Construction de solutions par les fourmis\n",
-    "        solutions = []\n",
-    "\n",
-    "        for ant in range(num_ants):\n",
-    "            visited = set()\n",
-    "            current_node = random.randint(0, num_nodes - 1)\n",
-    "            visited.add(current_node)\n",
-    "            solution = [current_node]\n",
-    "\n",
-    "            while len(visited) < num_nodes:\n",
-    "                next_node = None\n",
-    "                probabilities = []\n",
-    "\n",
-    "                # Calcul des probabilités de choisir chaque prochain nœud\n",
-    "                for node in range(num_nodes):\n",
-    "                    if node not in visited:\n",
-    "                        pheromone_value = pheromone[current_node][node]\n",
-    "                        distance_value = distances[current_node][node]\n",
-    "                        probability = (pheromone_value ** alpha) * ((1 / distance_value) ** beta)\n",
-    "                        probabilities.append((node, probability))\n",
-    "\n",
-    "                total_probability = sum(prob for _, prob in probabilities)\n",
-    "                probabilities = [(node, prob / total_probability) for node, prob in probabilities]\n",
-    "\n",
-    "                # Choix du prochain nœud basé sur les probabilités\n",
-    "                roulette_wheel = random.random()\n",
-    "                probability_sum = 0\n",
-    "\n",
-    "                for node, probability in probabilities:\n",
-    "                    probability_sum += probability\n",
-    "                    if probability_sum >= roulette_wheel:\n",
-    "                        next_node = node\n",
-    "                        break\n",
-    "\n",
-    "                visited.add(next_node)\n",
-    "                solution.append(next_node)\n",
-    "                current_node = next_node\n",
-    "\n",
-    "            solutions.append(solution)\n",
-    "\n",
-    "        # Évaluation des solutions et mise à jour de la meilleure solution\n",
-    "        for solution in solutions:\n",
-    "            distance = evaluate_solution(solution, distances)\n",
-    "            if distance < best_distance:\n",
-    "                best_solution = solution\n",
-    "                best_distance = distance\n",
-    "\n",
-    "        # Mise à jour des phéromones\n",
-    "        pheromone *= evaporation_rate  # Évaporation des phéromones existantes\n",
-    "\n",
-    "        for solution in solutions:\n",
-    "            delta_pheromone = 1 / evaluate_solution(solution, distances)\n",
-    "            for i in range(num_nodes - 1):\n",
-    "                node1 = solution[i]\n",
-    "                node2 = solution[i + 1]\n",
-    "                pheromone[node1][node2] += delta_pheromone\n",
-    "                pheromone[node2][node1] += delta_pheromone\n",
-    "\n",
-    "    return best_solution, best_distance\n",
-    "\n",
-    "# Exemple d'utilisation\n",
-    "distances = [[0, 2, 9, 10],\n",
-    "             [2, 0, 6, 4],\n",
-    "             [9, 6, 0, 8],\n",
-    "             [10, 4, 8, 0]]\n",
-    "\n",
-    "num_ants = 10\n",
-    "num_iterations = 100\n",
-    "evaporation_rate = 0.5\n",
-    "alpha = 1\n",
-    "beta = 1\n",
-    "\n",
-    "best_solution, best_distance = ant_colony_optimization(distances, num_ants, num_iterations, evaporation_rate, alpha, beta)\n",
-    "\n",
-    "print(\"Meilleure solution :\", best_solution)\n",
-    "print(\"Distance totale :\", best_distance)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.2"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/Projet_algo.ipynb b/Projet_algo.ipynb
index 45746e3..1829777 100644
--- a/Projet_algo.ipynb
+++ b/Projet_algo.ipynb
@@ -42,7 +42,7 @@
    "id": "d633beb7-8f26-46d4-9cd9-1d0093e5b5c3",
    "metadata": {},
    "source": [
-    "## Contrainte :\n"
+    "## Contraintes choisies :\n"
    ]
   },
   {
@@ -71,50 +71,37 @@
    "id": "c4d6888b-14e6-4745-880f-0a063ebf7476",
    "metadata": {},
    "source": [
-    "Le problème que nous avons avec les contraintes ci-dessus est le problème VRPTW (Vehicule Routing Problem avec la contrainte supplémentaire de Time Window).\n",
+    "Soit un graphe $G=(V,E)$, où $V$ est l'ensemble des villes (ou points de livraison) et $E$ est l'ensemble des routes entre les villes. Chaque ville $v∈V$ a une fenêtre de temps de livraison $[a_v,b_v]$, où $a_v$​ est le début de la fenêtre et $b_v$​ est la fin de la fenêtre. Il y a $k$ camions disponibles pour effectuer les livraisons.\n",
+    "\n",
+    "Le problème consiste à trouver une tournée pour chaque camion, de manière à ce que toutes les livraisons soient effectuées dans leurs fenêtres de temps respectives et que la date de retour du dernier camion à la base soit minimisée.\n",
+    "\n",
+    "\n",
+    "Le problème que nous avons avec les contraintes ci-dessus est le problème du VRPTW (Vehicule Routing Problem avec la contrainte supplémentaire de fenêtres d'ouverture)."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "6d392f68",
+   "metadata": {},
+   "source": [
+    "## Contraintes du problème"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "f95dba22",
+   "metadata": {},
+   "source": [
+    "Liste des contraintes du problème:\n",
     "\n",
     "- Tous les clients doivent être déservis\n",
     "- Un client ne peut être servi que par un et un seul véhicule.\n",
     "- En quittant un client, un véhicule peut aller que vers un seul autre client.\n",
     "- Un véhicule ne peut servir un client que s'il a assez de capacité pour servir le client.\n",
     "\n",
-    "On va donc affecter chaque client à une tournée effectué par un seul véhicule.\n",
-    "\n",
-    "e.\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "3346ae96-1c36-4e9d-9480-3ab4657c7d68",
-   "metadata": {},
-   "source": [
-    "## Objectifs\n"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "50a3e56e-3bdc-4f2c-a811-8433ffeb2a34",
-   "metadata": {},
-   "source": [
-    "L'objectif de notre algorithme est de calculer et de fournir les meilleurs itinéraires pour pouvoir livrer tout les clients avec le nombre de camion disponible. \n",
-    "\n"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "id": "dbd49849-988e-4915-8e28-e00085f4b97e",
-   "metadata": {},
-   "source": [
-    "Il est possible de minimiser le nombre de camion nécessaire en optimisant les trajets et leurs temps.\n",
-    "Il faut donc pour cela minimiser le temps de chaque parcours."
+    "On va donc affecter chaque client à une tournée effectué par un seul véhicule."
    ]
   },
   {
@@ -126,6 +113,82 @@
     "## Modélisation mathématique"
    ]
   },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "b54bfa8c",
+   "metadata": {},
+   "source": [
+    "### Ensemble et paramètres:"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "637eb295",
+   "metadata": {},
+   "source": [
+    "$V=\\{0,1,2,...,n\\}$ : l'ensemble des villes, où 0 est la base (ou le dépôt) et $1,2,...,n$ sont les villes de livraison. <br>\n",
+    "$K=\\{1,2,...,k\\}$ : l'ensemble des camions. <br>\n",
+    "$d_{ij}$​ : la distance (ou le temps de trajet) de la ville ii à la ville $j$. <br>\n",
+    "$[a_i,b_i]$ : la fenêtre de temps de livraison pour la ville $i$. <br>\n",
+    "$M$ : une grande constante."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "1219e4f2",
+   "metadata": {},
+   "source": [
+    "### Variables de décision:"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "a6d398fa",
+   "metadata": {},
+   "source": [
+    "$x_{ijk}$​ : variable binaire qui vaut 1 si le camion $k$ se déplace de la ville $i$ à la ville $j$, et 0 sinon. <br>\n",
+    "$t_{ik}$​ : le moment où le camion $k$ arrive à la ville $i$."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "e635cf14",
+   "metadata": {},
+   "source": [
+    "### Fonction objective:"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "56652859",
+   "metadata": {},
+   "source": [
+    "Minimiser $Z=max_{⁡k∈K}t_{0k}​$"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "a1465000",
+   "metadata": {},
+   "source": [
+    "### Contraintes:\n",
+    "Chaque ville est visitée une fois et une seule fois : $$\\sum_{⁡k∈K} \\sum_{⁡j∈V} x_{ijk} = 1, ∀i \\in V∖ \\{0\\}$$\n",
+    "\n",
+    "Si un camion se déplace de la ville ii à la ville $j$, alors le moment d'arrivée à la ville $j$ doit être plus grand que le moment d'arrivée à la ville $i$ plus le temps de trajet : $$t_{ik}​+d_{ij}​ \\leq t_{jk}​+M(1−x_{ijk}​),∀i,j \\in V,i \\ne j,∀k \\in K$$\n",
+    "\n",
+    "Les fenêtres de temps de livraison doivent être respectées : $$a_i​ \\leq t_{ik}​ \\leq b_i​, ∀i \\in V∖ \\{0 \\},∀k \\in K$$\n",
+    "\n",
+    "Les contraintes de flux pour garantir que si un camion entre dans une ville, il doit également en sortir :\n",
+    "$$i \\in V,i \\ne j∑​xijk​=i∈V,i \\ne j∑​xjik​=yjk​,∀j∈V,∀k∈K$$"
+   ]
+  },
   {
    "attachments": {},
    "cell_type": "markdown",
@@ -193,43 +256,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "id": "337db031-2e38-4b6d-9d57-74e277d7f033",
    "metadata": {
     "scrolled": true
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[[0. 5. 4. ... 4. 4. 3.]\n",
-      " [5. 0. 3. ... 4. 4. 2.]\n",
-      " [4. 3. 0. ... 3. 3. 5.]\n",
-      " ...\n",
-      " [4. 4. 3. ... 0. 4. 3.]\n",
-      " [4. 4. 3. ... 4. 0. 4.]\n",
-      " [3. 2. 5. ... 3. 4. 0.]]\n",
-      "[[0 0 0 ... 0 0 0]\n",
-      " [0 0 0 ... 0 0 0]\n",
-      " [0 0 0 ... 0 0 0]\n",
-      " ...\n",
-      " [0 0 0 ... 0 0 0]\n",
-      " [0 0 0 ... 0 0 0]\n",
-      " [0 0 0 ... 0 0 0]]\n"
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-    },
-    {
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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import random\n",
     "import networkx as nx\n",
@@ -261,22 +293,10 @@
     "A = nx.adjacency_matrix(graph).todense()\n",
     "\n",
     "\n",
-    "def generate_distance_matrix(graph):\n",
-    "    # Calculer la matrice de distances\n",
-    "    distance_matrix = nx.floyd_warshall_numpy(graph)\n",
-    "    return distance_matrix\n",
-    "\n",
-    "\n",
-    "# Générer la matrice de distances\n",
-    "distance_matrix = generate_distance_matrix(graph)\n",
-    "\n",
-    "\n",
-    "# Afficher la matrice de distances\n",
-    "print(distance_matrix)\n",
-    "\n",
     "\n",
     "\n",
     "print(A)\n",
+    "\n",
     "# Dessiner le graphe\n",
     "nx.draw(graph, with_labels=True)\n",
     "plt.show()"
@@ -293,120 +313,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "8266e414-d350-4101-8f15-9cc05ee02934",
    "metadata": {
     "scrolled": true
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "100\n",
-      "Client 0 : (0, inf)\n",
-      "Client 1 : (92, 133)\n",
-      "Client 2 : (87, 121)\n",
-      "Client 3 : (74, 117)\n",
-      "Client 4 : (25, 64)\n",
-      "Client 5 : (100, 131)\n",
-      "Client 6 : (23, 70)\n",
-      "Client 7 : (48, 89)\n",
-      "Client 8 : (36, 58)\n",
-      "Client 9 : (51, 61)\n",
-      "Client 10 : (67, 107)\n",
-      "Client 11 : (93, 134)\n",
-      "Client 12 : (34, 73)\n",
-      "Client 13 : (48, 71)\n",
-      "Client 14 : (87, 133)\n",
-      "Client 15 : (42, 84)\n",
-      "Client 16 : (33, 67)\n",
-      "Client 17 : (83, 128)\n",
-      "Client 18 : (33, 65)\n",
-      "Client 19 : (80, 97)\n",
-      "Client 20 : (45, 78)\n",
-      "Client 21 : (2, 12)\n",
-      "Client 22 : (92, 131)\n",
-      "Client 23 : (47, 58)\n",
-      "Client 24 : (18, 46)\n",
-      "Client 25 : (12, 30)\n",
-      "Client 26 : (42, 62)\n",
-      "Client 27 : (54, 83)\n",
-      "Client 28 : (24, 36)\n",
-      "Client 29 : (69, 105)\n",
-      "Client 30 : (33, 72)\n",
-      "Client 31 : (18, 28)\n",
-      "Client 32 : (52, 98)\n",
-      "Client 33 : (47, 59)\n",
-      "Client 34 : (34, 54)\n",
-      "Client 35 : (85, 114)\n",
-      "Client 36 : (74, 97)\n",
-      "Client 37 : (6, 31)\n",
-      "Client 38 : (69, 108)\n",
-      "Client 39 : (89, 130)\n",
-      "Client 40 : (18, 35)\n",
-      "Client 41 : (24, 56)\n",
-      "Client 42 : (31, 64)\n",
-      "Client 43 : (63, 86)\n",
-      "Client 44 : (67, 115)\n",
-      "Client 45 : (94, 134)\n",
-      "Client 46 : (93, 104)\n",
-      "Client 47 : (56, 74)\n",
-      "Client 48 : (82, 105)\n",
-      "Client 49 : (61, 78)\n",
-      "Client 50 : (64, 112)\n",
-      "Client 51 : (29, 73)\n",
-      "Client 52 : (81, 102)\n",
-      "Client 53 : (2, 50)\n",
-      "Client 54 : (64, 106)\n",
-      "Client 55 : (53, 82)\n",
-      "Client 56 : (74, 117)\n",
-      "Client 57 : (48, 89)\n",
-      "Client 58 : (58, 95)\n",
-      "Client 59 : (70, 80)\n",
-      "Client 60 : (24, 42)\n",
-      "Client 61 : (100, 113)\n",
-      "Client 62 : (84, 104)\n",
-      "Client 63 : (0, 17)\n",
-      "Client 64 : (56, 86)\n",
-      "Client 65 : (43, 73)\n",
-      "Client 66 : (3, 20)\n",
-      "Client 67 : (74, 113)\n",
-      "Client 68 : (11, 31)\n",
-      "Client 69 : (89, 101)\n",
-      "Client 70 : (34, 53)\n",
-      "Client 71 : (11, 52)\n",
-      "Client 72 : (24, 65)\n",
-      "Client 73 : (94, 122)\n",
-      "Client 74 : (52, 89)\n",
-      "Client 75 : (42, 54)\n",
-      "Client 76 : (29, 51)\n",
-      "Client 77 : (51, 81)\n",
-      "Client 78 : (24, 62)\n",
-      "Client 79 : (56, 90)\n",
-      "Client 80 : (57, 83)\n",
-      "Client 81 : (49, 62)\n",
-      "Client 82 : (3, 25)\n",
-      "Client 83 : (69, 118)\n",
-      "Client 84 : (23, 65)\n",
-      "Client 85 : (100, 134)\n",
-      "Client 86 : (7, 33)\n",
-      "Client 87 : (20, 43)\n",
-      "Client 88 : (6, 25)\n",
-      "Client 89 : (22, 67)\n",
-      "Client 90 : (10, 32)\n",
-      "Client 91 : (92, 129)\n",
-      "Client 92 : (15, 40)\n",
-      "Client 93 : (32, 79)\n",
-      "Client 94 : (3, 40)\n",
-      "Client 95 : (44, 58)\n",
-      "Client 96 : (79, 94)\n",
-      "Client 97 : (13, 41)\n",
-      "Client 98 : (76, 92)\n",
-      "Client 99 : (68, 106)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "#k Nombre de camion disponible\n",
     "k = 4\n",
@@ -471,19 +383,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": null,
    "id": "5a55bfc8-a5b5-4b25-b924-ee906b7b3d7e",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Meilleure solution : [0, 0]\n",
-      "Coût de la meilleure solution : 0\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# 2. Définir les paramètres de l'algorithme ACO\n",
     "num_ants = 10  # Nombre de fourmis\n",
@@ -577,6 +480,13 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
     "\n",
     "\n",
     "\n",
@@ -705,7 +615,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.2"
+   "version": "3.11.3"
   }
  },
  "nbformat": 4,