{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Sujet 4 : Estimation de la latence et de la capacité d’une connexion à partir de mesures asymétriques\n", "\n", "Un modèle simple et fréquemment utilisé pour décrire la performance d'une connexion de réseau consiste à supposer que le temps d'envoi T pour un message dépend principalement de sa taille S (nombre d'octets) et de deux grandeurs propres à la connexion : la latence L (en secondes) et la capacité C (en octets/seconde). La relation entre ces quatre quantités est T(S) = L + S/C. Ce modèle néglige un grand nombre de détails. D'une part, L et C dépendent bien sûr du protocole de communication choisi mais aussi dans une certaine mesure de S. D'autre part, la mesure de T(S) comporte en général une forte composante aléatoire. Nous nous intéressons ici au temps moyen qu'il faut pour envoyer un message d'une taille donnée.\n", "\n", "Dans tout le document, T(S) (le temps mis par un ping pour faire un aller-retour), sera également appelé [RTT](https://fr.wikipedia.org/wiki/Round-trip_delay_time) (Round Trip Time)." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "import requests\n", "import os\n", "import shutil\n", "import gzip\n", "import re\n", "import numpy as np" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On définit nos sources de données et on les récupére en local si on ne les a pas encore" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "data_set_1_url = \"http://mescal.imag.fr/membres/arnaud.legrand/teaching/2014/RICM4_EP_ping/liglab2.log.gz\"\n", "data_set_2_url = \"http://mescal.imag.fr/membres/arnaud.legrand/teaching/2014/RICM4_EP_ping/stackoverflow.log.gz\"\n", "\n", "data_set_1 = \"liglab2.log\"\n", "data_set_2 = \"stackoverflow.log\"\n", "\n", "# Fichier de data 1\n", "if not(os.path.isfile(data_set_1)):\n", " r = requests.get(data_set_1_url, allow_redirects=True)\n", " open('liglab2.log.gz', 'wb').write(r.content)\n", " with gzip.open('liglab2.log.gz', 'rb') as f_in:\n", " with open(data_set_1, 'wb') as f_out:\n", " shutil.copyfileobj(f_in, f_out)\n", "\n", "# Fichier de data 2\n", "if not(os.path.isfile(data_set_2)):\n", " r = requests.get(data_set_2_url, allow_redirects=True)\n", " open('stackoverflow.log.gz', 'wb').write(r.content)\n", " with gzip.open('stackoverflow.log.gz', 'rb') as f_in:\n", " with open(data_set_2, 'wb') as f_out:\n", " shutil.copyfileobj(f_in, f_out)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On utilise du regex pour vérifier que les logs sont conformes au format attendus et pour les convertir en données utilisables, que l'on stocke dans un dictionnaire.\n", "Les lignes rencontrées qui n'ont pas le format attendues sont affichées par le programme dans la sortie standard." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Analyse du jeu de données 1" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Il y a 377 lignes malformées dans le fichier\n" ] } ], "source": [ "def extract_datas_from_logs(fileName):\n", " processLine = re.compile(r\"\\[(\\d+.\\d+)\\] (\\d+) bytes from .*: icmp_seq=\\d+ ttl=\\d+ time=([\\d\\.]+) ms\")\n", "\n", " resDict = {'timestamps': [], 'size': [], 'RTT': []}\n", " \n", " malformed = 0\n", " \n", " with open(fileName, 'r') as f:\n", " for l in f:\n", " r = processLine.search(l)\n", " # Verify that all line contains a sample\n", " if r is None:\n", " malformed += 1\n", " else:\n", " g = r.groups()\n", " resDict['timestamps'].append(float(g[0]))\n", " resDict['size'].append(int(g[1]))\n", " resDict['RTT'].append(float(g[2]))\n", " print('Il y a %d lignes malformées dans le fichier' % malformed)\n", " return resDict\n", "\n", "resDict = extract_datas_from_logs(data_set_1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On affiche les dix premières entrées du dictionnaire pour vérifier que les données sont cohérentes" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[1421761682.052172,\n", " 1421761682.277315,\n", " 1421761682.502054,\n", " 1421761682.729257,\n", " 1421761682.934648,\n", " 1421761683.160397,\n", " 1421761683.443055,\n", " 1421761683.672157,\n", " 1421761683.899933,\n", " 1421761684.122687]" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "resDict['timestamps'][:10]" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[665, 1373, 262, 1107, 1128, 489, 1759, 1146, 884, 1422]" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "resDict['size'][:10]" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[22.5, 21.2, 21.2, 23.3, 1.41, 21.9, 78.7, 25.1, 24.0, 19.5]" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "resDict['RTT'][:10]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On représente graphiquement l'évolution du temps de transmission au cours du temps à différentes échelles de temps" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# On affiche toutes les mesures\n", "plt.title(\"Mesures de RTT au cours du temps\")\n", "plt.xlabel(\"Time (unix timestamp)\")\n", "plt.ylabel(\"Round Trip Time (ms)\")\n", "plt.plot(resDict['timestamps'], resDict['RTT'])" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# On affiche seulement les 10 premières mesures\n", "plt.title(\"10 premiéres mesures de RTT au cours du temps\")\n", "plt.xlabel(\"Time (unix timestamp)\")\n", "plt.ylabel(\"Round Trip Time (ms)\")\n", "plt.plot(resDict['timestamps'][:50], resDict['RTT'][:50])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Pour avoir une intuition sur l'impact de la taille dans le RTT, on affiche la courbe des tailles correspondantes aux temps ci-dessus." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# On affiche seulement les 10 premières mesures\n", "plt.title(\"taille des 10 premiers paquets\")\n", "plt.xlabel(\"Time (unix timestamp)\")\n", "plt.ylabel(\"Round Trip Time (ms)\")\n", "plt.plot(resDict['timestamps'][:50], resDict['size'][:50])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On remarque que les deux courbes ont des têtes bien différentes et on n'bserve pas visuellement de correlation. Il semble donc complexe d'expliquer les variations de RTT seulement avec la taille des messages." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Pour pousser l'analyze, on représente le temps de transmission en fonction de la taille des messages." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.title(\"distribution des RTT en fonction de la taille des paquets\")\n", "plt.xlabel('Size (bytes)')\n", "plt.ylabel('RTT (ms)')\n", "plt.plot(resDict['size'], resDict['RTT'], ls=\"\", marker=\"*\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On remarque visuellement que le comportement de la variabilité change au delà de ~1500 bytes. Une possibilité est que pour les requêtes de taille supérieurs, le paquet subisse une [fragmentation IP](https://en.wikipedia.org/wiki/IP_fragmentation), le [MTU](https://fr.wikipedia.org/wiki/Maximum_transmission_unit) sur les réseaux ethernets étant classiquement fixé à 1500 bytes et les paquets correspondants devant donc êtres fragmentés avant envoi et réassemblés après réception. Si le MTU est effectivement le soucis, nous devons théoriquement splitter à 1492 (1500 - la taille du header ICMP)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Forts de cette information, on split notre jeu de données en deux parties: les données avec une taille de moins de 1492 et et celles avec une taille supérieure à 1492." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "def split_datas_at_value(data, value):\n", " resDict_sub = {\n", " 'timestamps': [],\n", " 'size': [],\n", " 'RTT': []\n", " }\n", " resDict_over = {\n", " 'timestamps': [],\n", " 'size': [],\n", " 'RTT': []\n", " }\n", " for i in range(len(data['size'])):\n", " if data['size'][i] <= value:\n", " resDict_sub['size'].append(data['size'][i])\n", " resDict_sub['timestamps'].append(data['timestamps'][i])\n", " resDict_sub['RTT'].append(data['RTT'][i])\n", " else:\n", " resDict_over['size'].append(data['size'][i])\n", " resDict_over['timestamps'].append(data['timestamps'][i])\n", " resDict_over['RTT'].append(data['RTT'][i])\n", " return resDict_sub, resDict_over\n", "\n", "resDict_sub_1500, resDict_over_1500 = split_datas_at_value(resDict, 1492)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On affiche le résultat du découpage :" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.title(\"distribution des RTT après découpage\")\n", "plt.xlabel('Size (bytes)')\n", "plt.ylabel('RTT (ms)')\n", "plt.plot(resDict_sub_1500['size'], resDict_sub_1500['RTT'], ls=\"\", marker=\"*\")\n", "plt.plot(resDict_over_1500['size'], resDict_over_1500['RTT'], ls=\"\", marker=\"*\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Visuellement, le split paraît correct.\n", "On s'intéresse donc maintenant à la dépendance du RTT par rapport à la taille sur les deux sections des données." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On réalise une régression linéaire sur les deux parties." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "reg1 = np.polyfit(resDict_sub_1500['size'], resDict_sub_1500['RTT'], 1)\n", "reg2 = np.polyfit(resDict_over_1500['size'], resDict_over_1500['RTT'], 1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Numpy nous renvoit les coefficient de la régression linéaire sous forme d'un tableau [a, b]. On peut ensuite le transformer pour retrouver les paramétres L et C du modéle T(S) = L + S/C. La transformation est : L = b et C = 1/a." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[4.75022492e-04 3.20041914e+00]\n", "[2.46441831e-03 5.49930604e+00]\n" ] } ], "source": [ "print(reg1)\n", "print(reg2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Sur la première partie des données, on trouve $L \\approx 3.2$ et $C \\approx 2105$." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Sur la seconde partie des données, on trouve $L \\approx 5.5$ et $C \\approx 407$." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On peut maintenant afficher la régression avec les valeurs mesurées." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "x1 = np.linspace(0,1493, 1492)\n", "x2 = np.linspace(1493, 2000, 506)\n", "\n", "y1 = reg1[0]*x1 + reg1[1]*np.ones(x1.shape)\n", "y2 = reg2[0]*x2 + reg2[1]*np.ones(x2.shape)\n", "\n", "plt.title(\"Régression linéaire des RTT par rapport à la taille\")\n", "plt.xlabel('Size (bytes)')\n", "plt.ylabel('RTT (ms)')\n", "plt.plot(resDict_sub_1500['size'], resDict_sub_1500['RTT'], ls=\"\", marker=\"*\", alpha=0.1, color='lightblue')\n", "plt.plot(resDict_over_1500['size'], resDict_over_1500['RTT'], ls=\"\", marker=\"*\", alpha=0.1, color='lightblue')\n", "plt.plot(x1, y1, color='red')\n", "plt.plot(x2, y2, color='red')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On peut également s'intéresser à la régression des temps minimaux pour chaque taille. Pour cela, on sélectionne le temps minimum pour chaque taille de paquet et on répéte les régressions ci-dessus." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[2.60965854e-04 1.02118720e+00]\n", "[2.43235028e-04 1.74080472e+00]\n" ] } ], "source": [ "# On créé les abscisses et le tableau des minimums\n", "def create_min_array_with_split(resDict, split_value):\n", " \n", " x = [i for i in range(0,max(resDict['size']) + 1)]\n", " min_tab = [np.inf]*len(x)\n", "\n", " for i in range(len(resDict['size'])):\n", " if min_tab[resDict['size'][i]] > resDict['RTT'][i]:\n", " min_tab[resDict['size'][i]] = resDict['RTT'][i]\n", "\n", " # On retire les données erronnées\n", " filtered_x_sub_1500 = []\n", " filtered_min_tab_sub_1500 = []\n", " filtered_x_over_1500 = []\n", " filtered_min_tab_over_1500 = []\n", "\n", " for i in range(len(x)):\n", " if min_tab[i] != np.inf:\n", " if x[i] <= split_value:\n", " filtered_x_sub_1500.append(x[i])\n", " filtered_min_tab_sub_1500.append(min_tab[i])\n", " else:\n", " filtered_x_over_1500.append(x[i])\n", " filtered_min_tab_over_1500.append(min_tab[i])\n", " return filtered_x_sub_1500, filtered_min_tab_sub_1500, filtered_x_over_1500, filtered_min_tab_over_1500\n", "\n", "x_sub_1500, min_tab_sub_1500, x_over_1500, min_tab_over_1500 = create_min_array_with_split(resDict, 1492)\n", "\n", "# On fait les régressions\n", "reg1_min = np.polyfit(x_sub_1500, min_tab_sub_1500, 1)\n", "reg2_min = np.polyfit(x_over_1500, min_tab_over_1500, 1)\n", "print(reg1_min)\n", "print(reg2_min)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Sur la première partie des données, on trouve $L \\approx 1.02$ et $C \\approx 3846$." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Sur la seconde partie des données, on trouve $L \\approx 1.74$ et $C \\approx 4115$." ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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IVf20G4E7pla7k00CjIi8WERuFZFb77vvvgNMtTHGmGkHHjBEZAH4deClqroE/BTweOApwN3Aj64vusnqD3mwmqq+XlVvVtWbr7vuugNKtTHGmI0ONGCISEUJFr+sqm8DUNV7VDWpagZ+lvPFTncCj5pa/ZHAXQeZPmOMMbM7yFZSArwB+IiqvnZq+iOmFvsa4IP967cDzxWRgYg8Fngi8KcHlT5jjDG7c5CtpL4YeD7wv0TkA/20VwLfICJPoRQ33Q58K4CqfkhEbgE+TGlh9RJrIWWMMcfHgQUMVX0fm9dL/O4267waePVBpckYY8zFs57exhhjZmIBwxhjzEwsYBhjjJmJBQxjjDEzsYBhjDFmJhYwjDHGzMQChjHGmJlYwDDGGDMTCxjGGGNmYgHDGGPMTCxgGGOMmYkFDGOMMTOxgGGMMWYmFjCMMcbMxAKGMcaYmVjAMMYYMxMLGMYYY2ZiAcMYY8xMLGAYY4yZiQUMY4wxM7GAYYwxZiYWMIwxxszEAoYxxpiZWMC4Aqgqk5hQ1aNOijHmEmYB4wrQpUwTE13KR50UY8wlLBx1AszBGXeRpEpWCN4xSZk2Z7wIo8p+emPM7tgdxmVsGDyVc6CCEwEVKucYBn/USTPGXIIOLGCIyKNE5D0i8hER+ZCI/Kt++tUi8k4R+Vj//6qpdV4hIreJyEdF5BkHlbYrhYgggJLpUkbJSD/dGGN26yDvMCLwMlX9TODvAS8Rkc8CXg68W1WfCLy7f08/77nAk4FnAq8TEbsU3iMFRsGzUAdGwWPV3saYi3VgAUNV71bVP+9fLwMfAW4Eng28uV/szcBz+tfPBt6qqo2qfgK4DXjqQaXvSjEInjp4nAh18AysOMoYc5EOpQ5DRG4CPg/4E+B6Vb0bSlABHtYvdiNwx9Rqd/bTNm7rxSJyq4jcet999x1kso0xxkw58IAhIgvArwMvVdWl7RbdZNpDSlBU9fWqerOq3nzdddftVzKNMcbs4EADhohUlGDxy6r6tn7yPSLyiH7+I4B7++l3Ao+aWv2RwF0HmT5jjDGzO8hWUgK8AfiIqr52atbbgRf0r18A/ObU9OeKyEBEHgs8EfjTg0qfMcaY3TnI3ltfDDwf+F8i8oF+2iuB1wC3iMi3AJ8Evg5AVT8kIrcAH6a0sHqJqqYDTJ8xxphdOLCAoarvY/N6CYCnb7HOq4FXH1SajDHGXDzr6W2MMRvYgJ2bs4BhjDEb2ICdm7MR6IwxpmcDdm7P7jCMMaZnA3ZuzwKGMcb0bMDO7dk9ljHGTFkfsDN4R0zZBuycYgHDGGOmTA/QWVtR1AWsSMoYY8xMLGAYY4yZiQUMY4wxM7GAYYwxZiYWMIwxxszEAoYxxpiZWMAwxhgzEwsYxhhjZmIBwxhjzEwsYBhjjJmJBQxjjDEz2XEsKRF5JPBc4B8CNwBj4IPA7wC/p6r2hBFjjLkCbBswROSNwI3AbwM/BNwLDIEnAc8E/o2IvFxV//CgE2qMMeZo7XSH8aOq+sFNpn8QeJuI1MCj9z9Zxhhjjptt6zA2CxYicpWIfE4/v1XV2w4qccYYY46PmSq9ReS9InJCRK4G/gJ4o4i89mCTZowx5jiZtZXUSVVdAr4WeKOqfj7wZQeXLGOMMcfNrAEjiMgjgK+nVIAbY4y5wswaML4P+G/Abar6ZyLyOOBjB5csY44/VWUSE6r21GdzZZjpmd6q+mvAr029/zjwTw4qUcZcCrqUaWLCYc9+NleGWSu9HysirxWRt4nI29f/dljn50XkXhH54NS0V4nIp0TkA/3fs6bmvUJEbhORj4rIMy7+KxlzsMZdZKXtmKRM8I5Jyqy0HeMuHnXSjDlQM91hAL8BvAH4LWDWnt1vAn4C+IUN039MVX9keoKIfBalN/mTKb3J3yUiT1LVNONnGXNohsHTpkwTFSdCUqi8UHsbacdc3mYNGBNV/U+72bCq/qGI3DTj4s8G3qqqDfAJEbkNeCrwx7v5TGMOg4gggJLpkqAogkdEjjppxhyoWS+JflxEvkdEvkhE/u7630V+5reLyF/2RVZX9dNuBO6YWubOftpDiMiLReRWEbn1vvvuu8gkGLM3CoyCZ6EOjILHqr3NlWDWO4zPBp4PfCnni6S0f78bPwV8f7/u9wM/CnwzsNml2abnoKq+Hng9wM0332znqTkSg6lKbqvwNleKWQPG1wCPU9V2Lx+mqvesvxaRn+V8n447gUdNLfpI4K69fJYxxpj9NWuR1F8Ap/b6YX3nv3VfQxnEEODtwHNFZCAijwWeCPzpXj/PGGPM/pn1DuN64K9E5M+AZn2iqn71ViuIyK8ATwOuFZE7ge8BniYiT6EUN90OfGu/nQ+JyC3Ah4EIvMRaSBljzPEis/RSFZF/tNl0Vf2DfU/RLtx888166623HmUSjDHmkiMi71fVm3e73k4PUBIttgwM68vs9oONMcZcWnaqw3iPiHyHiFzwkCQRqUXkS0XkzcALDi55xhhjjoud6jCeSWn2+it9ZfQZyiNaPfAOSq/tDxxsEo0x5sqhqjQpM/Du2HUG3TZgqOoEeB3wOhGpgGuBsaqeOYzEGWPMleY4D2o5ayspVLUD7j7AtBhjzBVr3EWSKlk5N6hlmzNehFE1c1Z9oGy0NGOMOQaGwVM5Byo4EVChco7hMbrLsIBhjDHHwIWDWmaUjPTTj4ttA4aIvOOwEmKMMVe64z6o5U4FY9cdSiqMMcYc+0EtdwoYJ0Xka7eaqapv2+f0GGOMOaZ2DBjAV7L18OMWMIwx5gqxU8D4pKp+86GkxBhjzLFmraSMMcbMZKeAcf+hpMIYY8yxt1PAuOZQUmGMMebY26kO45S1kjLGGAPWSsoYY8yMdgoYf2utpIwxxsDOdRjHZxATY4wxR2qngPH8zSaKiBeRbzyA9BhjjDmmdgoYnxSRV4jIT4jIl0vxHcDHga8/hPQZY4w5Jnaqw/hF4DTwx8CLgO8CauDZ9mhWY4y5suwUMB6nqp8NICI/R+nI92hVXT7wlBljjDlWdiqS6tZfqGoCPmHBwhhjrkw73WF8rogs9a8FGPXvBVBVPXGgqTPGGHNsbBswVPX4PcHDGGM2UFWalBl4d6weaXq5sdFqjTGXvC5lmpjoUj7qpFzWDixgiMjPi8i9IvLBqWlXi8g7ReRj/f+rpua9QkRuE5GPisgzDipdxpjLx7iLrLQdk5QJ3jFJmZW2Y9zFo07aZekg7zDeBDxzw7SXA+9W1ScC7+7fIyKfBTwXeHK/zutExIrDjDHbGgZP5Ryo4ERAhco5hsfwediXgwMLGKr6h8CDGyY/G3hz//rNwHOmpr9VVRtV/QRwG/DUg0qbMebyICKlBQ6ZLmWUjPTTzf477DqM61X1boD+/8P66TcCd0wtd2c/7SFE5MUicquI3HrfffcdaGLNpUdVmcSEqh51UswhUWAUPAt1YBQ8l+svfxyO7eNS6b3V8OkPnaj6elW9WVVvvu666w44WeZSczlWfh6HjOI4GwRPHTxOhDp4BpdpcdRxOLZ36oex3+4RkUeo6t0i8gjg3n76ncCjppZ7JHDXIadt16wp3/Ex7iJJlaycq/xsc8aLMKoO+zDfX+sZhQPqyzQzNFs7Tsf2Yd9hvB14Qf/6BcBvTk1/rogMROSxwBOBPz3ktO3acYj4prgcKz+tBZCB43VsH1h4EpFfAZ4GXCsidwLfA7wGuEVEvgX4JPB1AKr6IRG5BfgwEIGX9EORHEvHKeKb4sLKT0FRBH9J3/kNg6dNmSYqToSkUHmh9selJPnwzHo3fzne9R+nY/vAcjdV/YYtZj19i+VfDbz6oNKzn+xEPhy7PfnXKz+Dd8SUL/nKz+OUURy1WYvl9rP47jgFn+NybNvl8EWwE/lw7Pbkn67svFzK+o9LRnHY1jPrnDMZdrybn+Wuf7cBYLPj76iCyCD48tkxoXBkRa0WMC7SlXoiH4aDLPI7TleNs7gcg+BG663AhPJ9ReRcZj30Di+y6d389G85fdcvQNtlFgalxVTOmeU2MnBCkxVRJcO5zwNoUqZ2Qpsya21HhvK5fdBaaiNzwRGcY9JFuijM14G2P/eH4fwF42bH2FbH3fr02glt1nPzNy6vqiy3HU2XEVF83yLssFnAuEhXwol8VA6yyM9aHB0vqsrypGW56ahDoIml6vLBccNiXZVg0iXaGBkET5cz184NwTuWJy3jLjGsPScGNagyiZGuSbQpU/sKRDi7NubetY7FynFiNGCpSyw1HYPgedjCEIBJl1jNiXHKSAYcTNpES6ZCqL2n7aDyHu+F1S6zFiNdVobe4YBcvhBtzqgKooqKMPCONiaWmw4ZVAyqcC4gSP8/CsQMbUosVIHlScvZNnKyDlTBc3qt4cFJx4lBYFBVPDjuCK5jvg6HWm9qAcMcOwdR5GcNFY6ftbbj3tWGcdeRVBi2HY2Cy5kzMRETLA4D4y4xSYmokFV4cNwyTImlJqE5sxYT4zbRxo5xAkEJznH7mVW8czRtR3SOM5MJYaWlcrAwGqCx4+NnIikpAVjuElnLHYMX4WzT4QDn4Oq6YqktQWYQAs4LDiE4R/LKOGbOTpqS5tpRh0AbPWsxUXtH5YSlpiOlxCRmupwYVoG1psP70ocEgTaWu4ylSUMbI/eK49SwZtJ1rCrknFlMmUnKPObk3KEXTdmZYo6l/S7ys4YKx8u4i5wZd6w1LWebFhXHHeNEBOY8DGvHXcurxLPQJBh6GFaeYXDcv5bJqtTeszisWG0id7QdkpXhIJAyBBzLsYUEaxkCiQQIkYEHRCGXO84kyoL3jLuEOCEmZRxLkVXlYBJhte1IwFyXGNYZEfACmh3BKatdJkaoKlhpIeOY88KJQUVOwh1rDSmB98pqowwr4doRPDiOtLkhiFAFj+TEHY0iWpqLRhIPTsYkBQ+sCJx2LSE4rpmrmR8ODvV3s4BhjqX9LvK71BoqXGp1Lbsx7iIxZ5ImzjQN90xASKz3ZjqbgDYz7hvWV5SMe61LpJjIAiPv8Chnxi1n1yIC+AC0kY7ye6cIE4UWaPptC9AliKslONWUoqRVyvuKUr8x7pd3GaZ7WS0pjBslUTJPRzq3LMCgg0ogaaYRWGsTTYQ1IFEy/QS4Rrm/mRD7NA3Qc2nf2J+gnb5aUggJTmnmntWWcYTaCzecmNv9D3ERLGCYK8al1FDhcq5rGQbPJ0+vcdfyGqcn5XfZ+FucTaVXsaM8J/q+7vy8RSDFMtDg2akVfSzBRYGE4ijBYppSrtxX+veTqXmO84Fl3cYuuTq1zc06ijVAo+cXXt7Qx3J9nTy1be3TIWwxHtIGEYgCTczkKnL9iYUZ1tofFjDMFeNSaKhwJdS1rI+LtTrRh2TQ09Yz1Y2FhquUZrYbpf7vXAX0Lh31eA27uYBZSxDXWuZdxvvDO5atANccKBs4b3eO0zAQB2HcRVaajrWoDOvZ1tmYke+UsR91xn8YBFCFOlzeY0mZQ3CcMmkbb2t3LvfnOwyDZ3FQ4QVWN5YX7QNhvW7h8paBhRoahL++b4m7ltYO5XMvj3tcc4HjUP59JRStHJRLqa5lt0SEs5OWtS5u+kyDjXZbvDSk1Hlc7pcnjtJ6LCbl5Ei4fv5wWkvZmXsZOU6ZtDVjvXiXQl3LXpwYVIyHFZMu0jb6kIppOF8BPGvGPw8MK2i78y2RxjusM62iBBrYPEhJ/xm73e5O/NT/lpIhy1RatqIADrocEQmHVo9hAeMycpwy6UutGas5RCJ0WWlVqSiZ83pjovUjdUTpMBfz+YrsSHmtlMw7U1oljYCTQ49qhkrPNad9yMdyYcVy3b+X/m/Yb3M6s3aUzNwB4mAuQBX7Xtlc2Npp26889dl1v82u3+56kBgI1KF0EZnEUrm/1d2lAEOBBecZHGKltwWMy8hxy6Qv56IVc/GGwXNqWDFuE2dyi8aSgY4ofSm60sOO+UFFFztWuxIsRq50lnMOJMOJUcXQw3KbaGLi6vkBTZdZSh3zHsglY18PRhXnA04osxlTgo8X8ArLnM/cK0qGXlOCg+byF3zpF0I8n+nHqeU2mu+3t77s+vZrzgfBhQBOYNyV+RkYsN55b3PiHIujimsXDqcPBljAuOwcp0z6ci+J/3WiAAAgAElEQVRaMRdnEhNtLhloXVUoXZ9peurKkZIiKNk7RD3iEkFhVHvapFw9GjCsKmLOtCkTKsGHEhzWUsZ5WKwDKZfhOHKG2pVAU2spulpuAC2Z+XXzFasx0XSZRQ/DEGi6SJcgOUgKIZ+/+s+U7UUP60/tiZSgV1O+V8X5Yi4HeAdzFbRNCRCDAFcPAiKZB5tMcOAksCCRTqHLJYg18fwdzqQkGU9/V6TKUhOpVyfleeaHUOxsAeMyY5m0Oe6GwYOWFmDzdWCuEpYnLQgEcQwHHnKm08T8sMJJzbgf1nu+dowGFTkrMSt1EHwsTUwrDwFlblhRh4pxGzkxdMwHj0M407RliA3nWRiCpETyjky5Gz8x8DjvyCkzqiuq3BGTMKody5PEwJUAMO+gzYJH8QJdH3g8MF8JXafgSpBYCI6smaaBGKGuyp1E7nug1xI4McicbSKaIoNamPeOlSYxrB2VByHjRFhqlMqVYJIVBMdcXfVNbA/n0tAChjHm0Kw3zBhUgatHQ9ZiguyYGwy4ZlSxOKhYbjrmBzUj7/n08pgzTaT2jphzGQdKy9V1EIidsjioaVLGoYwGFUHKYH+nTo4Ytx3DKjCqK+qVMStdhOwQzTjnyCrEnFisKkbBId4xbhOiQlUFKgfjpMQack4owiB4gggBYa2LjLvMXB0Yx8gwCCdqzzgpXc54PF3MLAwE7x1nm4QqDDzEmJhopvKOgfP4Wsj9iLXXLgy4dm7Ig2sTJjEyFyrGcYJ3JeCoK39nm4gX4Zo5ayVljLnMrDfMmOAYVg7BMfBCm1I/dLjn5MgxCr4fNbYUCTUxUlcV45zJXWYuOKpKeXDcoG1msa4YVJ6UMm1KiChVJyXwVB5VxzXzQ+omsty0pCQ0XWJQCQNf+oUsdQkflTqUNJ0dNwy9Z9JFYlYmsQweeLqNVL5CKM/wGNaeE6OKueSpRUl4qpBY7hxOEyrgvKNNJcghkJ0DBwPvcNkhVblLOjXyDP2QEMootZUIXS5jigUnNCkxjiXIOHHMBWFxcHj1lBYwzL661AbNu9TSe5T2Y1+tN8yovACeegDzlWelUbpUAkHW8jwMEcdqzASUtQRJI01KLIbMWYRRX+eBeNqcWV5LnBhUpK6UUa3FRAe0MeO9o4uJcZdIqtQiuOBxCrUTTg4HeCYkhatHA1a7SBUCC3UZIXc5JrxXhk5Y7TqGkrhqMCCJEEQYDiqGXliatLRZaSNcNQhAYBASbSxtqYJ3BC8459GUqUWQUO6I1mKico6FYc1CHVBgcViK4zzw6KsWmcTIp5cnZFVGdeBEHRhW1f78wDOwgGH21XHoNLgbs6R3Lxnl5RSQ9uu3XW+YsTioiCnTpERUR6uRcRcJ3lMJdJoIwZGzUmlmEASHZ+gdKWU6zcyFgKhQDxx1LL3jsysPPEIUpyCaqcVRV45x7Bg4x/yw4vSkBVVGVUARFkcDlsctD0waElA7x2rK/YONMoJnkiNZhEEIDIcVJwYVc3XF8qQlKtRVIHeRCQ4nwrgrd04dSpWgbRIrDZwYKtfND0qjFBFOjmrOjiPD4BhVnjj1aFrvhHEbmaREzsq18zWKQ8gE5y6otzxoFjBmdDmd+AfhOHUanMVu0ruXjPJSC6Cb2e/fdj2DG3eRB1YbVmJEVBgEx90rTXm4kHcs1OXZFmspk1TRLNSVp8lKCOcf4+pEyB04BNXMpIs0GkGEUR3wwGoqwWVUVSw1idzG0sKpfyhRS2QxeKq5CkFY60pF80oXGVUOlxPjlEAdCzUoQhsz98WGk32+sNp0TGJGEUSEpr+jORWEgfPMVY4VX5qHjWrPqdGAScysxcxqm5mrAl2OnB53zAXHqA40UUlkVjsFTSwOPFmFYeXI6hAp+/GwzrHjdyYfU5fDiX+QDrvT4F4D+Czp3UtGedQBdLPnZF+sg/ptB94x8LDSZtY6pc1CTo6Fgcc54Z6VhkTmZO2JSVHoi2ocjsykTVSVMO4ynSqj4IgZ6uAYT7p+muB8KM/5zkpAyZqpXSB4JYkrz+bOSgiOq4cjVpqWSS6VyUMt6z7ixDxn20gXM7UvleNOIThIWQmVIwisxQgKMStd05BdICblbNNxRsF7x8jDWoTbzqzhsvKwxQFRM8ttYhITD1/wIHD38hpNlwghAEoQ4f7V0gT5mrmaUagOvWOuBYwdzHLi293H4Xca3GsAnyW9e8koj7rXfZcyq23pBeBE9nSRc1CPzD09aViaJCa51F90fVCYr2rm6xo/hNqXMv2VJpK1PL50nDJBPFmEQIbak2IqnfSyMvCezmcEISMkYOhK3YH2T65LWYmqJM08sJapfQCNOOdYbSMjX1pDVaIsNx1NDjRdImlmuS19wVPOnBxWzFUVSYWVSUvbJSZtRyeOroWr5x0JuGoYWGtbxklBPSJwlXdcvVijIrRdxDuYrwMxQ5MiOWeuHdUk51iZtKx05XGyXjJt9GQFVccgHN5T9yxg7GCWE9/uPorD6DS4n1fuO6V3LxnlUfW6H3eR1TYSMyAly3xw3OKd7Klz137+tutP3AviqEic7lqGLpQrd1eGDek0Ebwjq5Ky9n0aAm3KVCIl01ZYjon5ypfnQ6TEJHYM58oV+0IVztWBrHUdi75mWHlqX4LCWs60qdyvzC86EKGNiUFwfasoBSkV1OM2MQyOLkL0ykCEcRS6BBNXnpu32qbynA7nqBE6V568F5PjqmFg0iWSJlKKiAhrWVnQmqF3zFUBMoxTZqWN1MFzaljTJGV5bcJKG4kqOJTgSp40Cv5Q6y/AAsaOtjvxj7rYYS/2ele02fqH0WlwP6/cZ0nvXjLKo+h1PwweAVba0pyTLDhfWiLtJXPZz9+2/IbC0qRjOXZkDVRBGFQVHkXFMR8cy03EO8fAn29mO19XtCkz8J611HG2S3RJGYRS1LNQDYgJHA7vhJETRgNP7cvvsNyU/bIaE4gjiNIm5YG1BieCF+Wq0ZAuK5PYEXNGVGlTJil0fZ1J50qf6xQT4y7jaHHOc6JyLEvJWCc59fUqStNF1mKiFlgYDmjajnEbiYOEqzwLwXF63HGiDmR1NP3nLXcd5HI3k7ISEUQcZ5tI7RzOOYaHmNcc71ztmNjqxD/qYoe92Otd0VbrH3Tx3GFfue8lozyKXvci/YOXyLQJBKVWjxM5NsWlIsKZScPpcctq2zEKFU2G2CZqB3MDx4PjiCLMB0ebFSeK77/DpIuMU2bclmapMZdMX0icGg0YAFUQmlQqp7MK3nucwCiUQFWLEnxgVUvx08h7auf640kYhpLRe1EqKePftjkzqgMD73igafEkfHB48Zxda3FBaRtoVXA5MR8Cw8oRnKMSYXFYs9KVu5BTcyMWB4H5ulRiR03MD2oWas/ptYbVLrLSxvJI2Zypgyd3uR9XSiFnUOXk4HCzcAsYM9jqxD9ug/3NYq93RTutv9dANEvAOagr990Eu+Ncb6XA0HsW6nLh0uXjNfDjuIs4pDQfTQNwsNy01K4M++Gco4kJEWhios3KQnDM1QFVZRA8XoSUM+REm0rdwzB4uqxETVTiCE6JORNV6FJiNSkpJZa7zJx3jFMkZaicowqlqMo5Ydx1rK5lupz6IUdK/cegrxOZaCkWqrwjqjJpI5MEc75cOC56UOepq0AlnkecGEJWlrtE6BKNQhM7lFKHUgdfRuXNsdQ7aRkIsYykq6ymzMh5ap8hCcGBd4FWlbNtxyjo5d1KSkRupwwMmYCoqjeLyNXArwI3AbcDX6+qp48ifbtxnAb7m8Ve74q2Wj/lzErb7bl4bpaAs59X7tMZ/26C3XGutxpsKNseHmFaNqOqOOfoYiahpJwZuDIkxjh56pRpNbPgPWRlkjrmfVWG/xBhWAVaSdBE1DnIgVNVYDjwnFltSCrUlWNYQdeW0QEfXJ0wTsLAKeLgbBtJKgw9nBxV/WhSiqjQxUQdHEMJrLSRUV+3MqwcUUFRKpdYmbQIQqMJXN/UNvdDlVeBU3M1ZFhpYtlmVfqenHKlOLtJ0LYRQVAVFgeBlaZjtU20Cl1KVN4hQNSMd45alflQUVWOlCHlcgdyWE1rj/IO40tU9f6p9y8H3q2qrxGRl/fvv/tokja74zbY305Xvnu9K9pq/VEV9hSIjqo+qEuZs5OWyrm+F+72n33Q6TzOdy77ZVQFcu5KMVn/NIm6DgxyxgXHahM50zT4YY33jgycbiKDDJOu1CGsdZG5yjOqas5Muj7ThMVhICC0OLImlmOkRalESJpYajLzgwpVx6h2eATFlSa52g9/LmWwwvL8i5qkCUGY5ESmNJ+dG1SMY8apMtDA3MjTpogHhsFxclCzWAUmsQy9PqoCo+A408b+WPNkEl2E5bWO4JQueSYp0SZFcy4NAGJi4IQTw4qrRwPaFGkzIK40GZbSSfGwisGPU5HUs4Gn9a/fDLyXSyBgHDcz9Vxmb3dFm62/10B02PVB0xn/fF1O7LUuMvClTHqrz97vdG4MEMf5zmW/iAgqsDiq8J4y2J9zeB+ImhlWwrV+eK6oHiCi0EXEe04O+r4YIqSs5KQs1n0RkIMH1hpEFO8dtRNW247FUFN7aDpladISNVOHmsEgkFG6nAgiLAxqNCdWu8RKkxAclcDV/Qi5962OSSo8fHHEVaOK5XFXxk1Xxalj5DPzVcBJ5u6VMcF5hpVDBe5bm7DSZU7WgbOTjrUu4lCuWRiw2mYeGCfGbVeK6nDEtkMRrhpWTGImaib4wLASugyalaQc6jPfjypgKPAOEVHgZ1T19cD1qno3gKreLSIP22xFEXkx8GKARz/60YeV3mNrPcPJU0MJ7HTlu9e7ovX1VbU86KXPLPcSiGYNOPt1BT6d8XsviJZ95URQ8pbBbq+BcasA0XSxXE1fgi3udmvcRbpUOsBVw5qYGiJahuhWEPFct1BxdtKy1HR0KRO8Z6EKjGOiTYlRVVpJnZl0VL6MdjsMgSYl5uqamCOIY3FQl+dtyPq2wYkQ1Pf1KFUp16FUgifVUlSUM14cQyes5NLUVUS4ajTgbBc527RU4lAnnHSeYe04s9bQJiV3ieu8o+ojXttl1Fe0MTNpO5yWFlBOlOUIaaWlcp46QKoCXVaydqQMXpWo5WFKbZe4bqFmtUtl8MXgD70Y/KiOxC9W1bv6oPBOEfmrWVfsg8vrAW6++eYD31c7ZVDr82sntFkPvShhPcMZeocXObAr9M32w8ar4a0Cycyfwc4BZ7+uwDdm/JnSrn2urs599la//V4C47kAEUuT0fUAEVOmjYmksDCoDr3F3WEWhQ1DabXVREUl45yw6Dwnh4GzTaTJmXGXGbeKKIycI/WDBKY+yOesNLlsa+gd96421D4yDJ75QeDMWmS1bclZGVSes5OuPA5WM3Ohxnvw4jg7npwrIpKUWG4VJzBfVWQtfUVGqTRrVXV0kkgxkkToKOdZcom7lsqAgJ1CTeJv20gSRXN5hnlOHY0qw+BYaVqcK3dJA5+JufzuKZc7ry6nc/UT2Ze6jOWsTDI0usYwVOf24WHfhR5JwFDVu/r/94rIfwGeCtwjIo/o7y4eAdx7FGnbaKcMan1+7IdhPqyihI1l6U1WuhhZi5kT/c+6ny22pvdDUj2QllLb3fls/L7jmFhuu3OZ/MWYzviH3vWtUjgX7Lb6Hhdzh7Yx/TFlmphJuZS7C+VhOS6XfX3YLe42ftfdBpDdLL/eNHYtZrIq3glNVu4fdzQxcnJY6g2QDAgn50o9xVqb8U6pQsmo2xzxWUhJma/KkOQD32ekPhBc6pvWKimUp9pJdCwMS6/tcddx3VyN956o9E2PS/Pd+UFgtVWcZEZVoPZwdhJZbsow5DGVzP/U0HNmtaVRqHGknFjue52PfBmefWnS0nagAqO5Cu8DbSpP1puvauYHAGWgwoT0w4cICjQ5kbLgREEyKZWgdXqizNfh0O9ADz1giMg84FR1uX/95cD3AW8HXgC8pv//m4edtmmbVW42KRGzcmpYM4llmOS10tidmJXgoImZufrgixI2K0sXlKGXMsa+yEXdqm488TfbD0LpfevEH0hLqVm+b0x9wdEeMtTNMv42pnI16iE4v2/fY2P6BcfAZaLouQDhFOaqze9cDuoOYKtK/JRy6eXMbEFxs+C6XZoHwdOmsq+X2khUZb4f9mOlWWN+EPCiiHiaWLaxUHnECR5YaiIepclanpAXygOQmhRBSpPXcZcYBU9GYaAsj9u+l7Sy3CboR3utfCgXQlnLmFMpU8fMwAsLdU2bEmfGHWsx0pFpkjCJHWebjqXWkZMycJSLtkyplKavQFfKmFO+BIzlmGi7zDDAw+YGTJKy1CZO1IGr5oegykpT+l8kEl3nCQJ15fC+f4gUpVlx5dyh9/k6ijuM64H/0h9AAXiLqv5XEfkz4BYR+Rbgk8DXHUHaztkqQxbKybE+f+ABUWJ/YsDh/JDTRSorTSaqUjthrh9Ibb2j025tPPE32w91cOCUSdrfllKzfN9x7FjrhKSZ+X7k0q7t9hyULqwE94y7RBsTdRDCNpXgu03/dN2HCsyFgHfCWhsJ3p3LbDdm0gdVGb7x912LES/g3c4txgDW2o5xTIRNli9FpJunWQEnDh88LiZil3mga0GEofPUzjNJEfHl6XqLg8DAC8EHTo8b7hk3SCod6eognG4iqzExVwVuqAOrbcckRq4ZeYIPBIHlSaSJkS6X33E+BO6bdLRxTO0cN55cYDUmxjFx9ahiGEpjiNo7rpsfcPdypo3lwnDgHCEIOFjLEc3l+duyXt8AtAkqB+QyVHp5VB7MDzxD8SwMak56R4qp9CAHrlkY0sYVksLIVUjuyJrpomN1Uup6rsmK8x4RZa6qLu87DFX9OPC5m0x/AHj6YadnK1tlyMMqPOQqrIxdn0lJ8P7wWi2sF6nMV54zk5acueiMervmor6vCO6SkDXTRqHqh2vYz5ZSs3zfU4MKBVa7VLarsi9BaWMluJMMrlR8blcJvtv0b9xndfC0MZGh76F9of1qxrvV1f7G36xyDu/KoHazHEteSk/qmMrztZNCzAl1pYx/qzQPvOOBGNG+sUFKiaZTQgWrqSN05XGlJwZQBU/TRtZUGdYlmD18WHO67WizQ4jUvuJEHZirPfevtay1CefgU0tjau9xDoaDioXsmaQMKgwHngdWOypRyMrZcUsGRnXFmSbhmsRK2zEMvn98bE3WhtNNqUSvJBBjxzAEHELtM7ErD21yEUa1kPvHyE5yZrEKDL3gBUIoPbwHzjOsPVolHpx0LE8anAucGji8C9TBs9J0zNeepSZxpinPQh+4CtH++eiH6PJqfrHP1k/whTqw1kWaqKBl9MprhhWhH7dnrMrJ2hO87zPXwzGYKkYBh0i+6PLv7ZqLrg90FrzrryiVQZBNr4bX99n6VXPex4fTT3/f4MowEaoZ+rF39uNJcOcDIw+pBN+v9EPZZ+Mu7liEt9tmvFsFhi5lJl1pYbRYV9tW4pcAtn3Qnw5klSsBvBsrIsqpQQU7NMCIWctdRFeeJjdfVyiRoReSlgAyN6i4bn7IUtOyljI3LgzwPvDAWoevAs14Ajn1x59yZtLR5vL9Bcgxs9RmTtSKF0cdhKryZDJLTeTupY4uJbwrQ4a0k5bgHaOsrLRlZNoAtEn7Z3QERpUjZs9aVmJuUVVOhroEgKycpqESx5qPVL48M3x+rvS8H1ae1TahKFcNKypf7mQbVdaalkaVlDJJhLtWOgYhkXNmqe14YNIRNSMZHhgn1uKESQrU1eHWY1jA2Mb0CT7wvnQEaroy/HEQrp4b0cZypTsIpdx0/WQ9DNMnrXellQWUoLbbDG67u4NBn7m1XSQjzNVbX+lOZ+pbXTXv1WYZXAmZuyuu2Zi5XlgJnvtik4NriTJLMNjtXVsbyzEqg4pBFS44RkBZbhIxKaPKn7/a3xDIFKhh21Zg02kXkdI6qSoXUGyT5gvSI6WZwagqnd5qLwxDIPjyyNKsmbtXGkSVOnjOdkpuGyapPOcjKyzWjvlBRY6ZhDAKwtlxh1CavDoyq02pVJivHLUfstpGKlcq1HOCTmEEtF1kHIHKszzuyA7mqsDIwdkmMpbIfOUJznHtwqBU0rcdaylxqvIMagcyYNJ1xCRUUnp8nxgFUlRON11pjYWyNOkQiQxc+d3XusSwDqx2mdopHqicUocKyYmVtvT6HnhPk4RF7wgOQn9+HhYLGDN6cNz0Q0bDwiBw/1rHUpPxAlfPD5ikzErX0SW4algdeEsp1VKfEqQMRzCsAl1UBl6o691daa9nnKhu2Vx01ivdw+ixPf3EtqRanovgZNeftVWzYDiclm4z9z2B8lhS6HsmP9T6vmhiIlKG/17uEiNfOretxfJ4z9JzWh8ynMR08JxlP0ynXaSMbySASml0MX1XunHAzqVJyziV4j4ExjGVoTf+//bONdiy7arrvzHnXGvtvc853X1fCdeQhCQErIhFSG6BBIglIC+VIAaMomCJRVGKJWUBXipVFF/8gPgqH0gFjIkKBChJGZVnWYZYokiCeRICeUEuyX307cc5+7XWfAw/jLX77D63z+l9+rG77+31rzp11l57rjnHnmutOeYcc4z/UGHSr9TRQlFBFGKGKjhiUlJOeIRYCh7zaJulQsnKqDeJTWpP7BVB42wjvUbZqStiKozrmlIy81SICJoLbeljJgpIHajrPg1sgdgmcsmcHTcsu8ylHBk5hyqoOLpkVodRcLRJmcWEc4HKe2OSLaCixqrrC1E985wY+cCZUcUiFw5SABWKKuLM3Nt4W6nvjEckWdIlu3dOFOeFJlSkUhjJc3gP49mK5+3YzOSgK4wrh/Y8NF68EaQl7ROg+I0Grpv1eulSZr9NODEitJvZM1gNnOPgn2FmukpOrj+4bTNi+0bbulmldiuz2W0S09H0+xwxZcLaPToqU5sKbYKmEmZtBjKhrhhXnlksLFJhJFDJ1XQSqspBF8lZ6bw8w2S1qexXrfT61bbwTMLOUfB0BWZdomAr4zp4fF9XEMzVtVi08zIVytLyVtzXVIjAY/tzFMeiyzSVp3JKyfDUdGkbzBSmywQOGufJ2Ma4w1xmY09ESAbX97pzcP/Y9gZSVlKGFM1MpqpcaiPL3mV2QbZVEMrZukZUmHbRqEv6PbCkwjR2THxgniJtUfb3W1wl1CJUI+Ez00gsuac8gWXOjIK5Waec2atrGq+0S8eoFrxzzGMGhN0msEwF5OadPjbFoDA2hHOWP7dQWMaeqEyMb8YjeFfM68M5StLrDlw36vWyGuyWMdPmQpsSe7WteirvT2WK2mTgXJdzk8Ftmwy+q7aKFmat2r7GBm3d6L7AKjhTVK+Zze4ZJq4NJgXXm81vqtxW/Ez7KZJUaEvhTONpc7FMbaUwqTypZGYlm6dPaFjExCKaZ1DlhHlSYip4J5wd1Sf25UkrvRNX22KR9cHBvLVc2Y0YG+u0K5ypA6IgzjGLiUXKNK6mqZSLyyXLrP2+QjHX1a7DNwEXHE7Nc2nRFs42gVFTmSIrcP+kJhVl7B372dFUgXENwTm6bO/UKFRcXHSIE1xRmgoaUfCeVAo4x45XlllJSckC8xQZh0ATTMkVLXRqnoRNFrIr5GITzBSEkpUkyjhUOCdUqXBf0xC1MO48e40nSKAKMA7mZHNmUqMK941rYilcXEQq53AIldtegOegME7AMwcAONcE85SK6cqs3Dvh0iKTi5646ayqXF5a9jM9wYPkJBlKKZyftWSUynuc2PJ/3iV2m9O52F1lhwa6WNht/JU9i6MDlbN38Upg23GD4mkioTeNpD/2eyyv8vr/6+GZG9xGB3HcS7dSmtOUmfbkd3XwHM1md9SN9LSTgmv91tU9WiZzaBDMQ21d1iv0MCi7dQABLTaRqUJgIr3C846CEFALfuwz3y1isix3xS5cMatK23F2dHL6z6Om0U1W203waFMx6s2gy1lBtbBTjwj9Nty8M8XWFSwJlAPUkZLy9DxZqtXeJlU8TGOmLhEtSkshO8eZKpAyBGcxHdMuEUS4lBIijnNNTfA26O4vW2IRpm3k8iKxF6CpPY0Tpm3CCeZS64VOLQo7eBg7iFFZlMisWz1gjuDMEysEYRYTs1QICN4JXhWccKHtqJ0nSIHi6PrYjy7DxbREsjId297FQWtKnmUyz82UGbWRcRW2GuA5KIwjWJkbUBv8C+Aw97a9UX2l3G5Ts9u/S7bB65hUFgdxEq2FWXoBlWcM0qv2TyKjW3lhqT2PiBOCc+zWlqxeVW+IeXYRC4ucka4YPbZ3TLtEKZhdtX/4u5QpuVzpk2sNisfNmjehF7lWn7UpI6qoyFUULGYeKCxixjvzrqEUSrx+foB1pbaKJRj5q809K6U57z1b5jERBJbRuIdcb2v2/Z7Ayo300jKiRATYacKxUemlFA66xF4dELHBKqviCFc5UKxif7qSqZ1nHK5W1vT1jLzj7KgyzzRVulTIYgot9KvPLiakcuysnBOy0PiCSuFgGfEOSrG4BzAzi8NW2CtnjnXHjpXMwdlz6aVfbWOJjY5TcIt+T2WZC+PgKCLkWMiiPDCpWaaEL0oQB87MVwuntNEmLlGhZJu8VAWePwm0KkxzQoCJs9SsIraX4sVxYdFSgLqqGQVjwZ3FyI4z76XgIFKY1A5KYZmUKqglZfLCk9NMLoXdylM3jkUXLTGTUwqKV0GckAvUXvAKRcUC7ySQNFGKUnvh/vGY4LR/nz3eCxcWmVQywQV2AhykxPQgU3sBy91nExYVzoy87cHkyMInPmtvcuLzfqswKIwjiLnw9LwzqmLnODOqjl0FzLvIPBUqZ5t1udigcrTcVS6IwTFvI/PU4QUQx6jIlY2rLmX2u0zt1CiQ+xn+ahBK2Tw+clEQy97V1D1dh2WFpy3KbuVt0+8aKwHgig1+3tnssg6OxglPz1umXWav9iyKIkVR59CiLELrMuQAAB/vSURBVJKySPYCtivlp0oVHLMucn62pAme+yfN1W6bRwY2aSqyKrOY0aI4Z7971HugjNe8e3IxGpKDzlwmKYVxVdG6PhiqKPNos7CRN/u4R3lquuD+sdE+HJWj7ge3XOy+Fux+7beRJmcjIewHyFiUxkMsiZSFUS2EYBG8pqBhVHm6ohbV64XaOXvxe5qKa0Wll1J4YrogZmXWdjSVtyQ8lbvKpDMKQsqFmJXdJtClwvn5gnEIiMAia69MHZ0q0scHjStPVuXivKWpHA9MLPJ5Hi1wbRxMKa1caIPYZvFy2XGhjRblPGrYFce0i2Qc941sb6NNmUXXcdBa4qJJHyPQeMeo8njx7HcJSrlKwa2/Y20yb63aOSYTW7F7Jzgsn/aZprIBvW1ZKlRaGKkFbFYV5K4PilPwlafFlGBS5SBGxi5wpqmYdpGUYUFhEioWRVnmxDIJTpWlwsJHUrHnY96ZhaCIoKWwyEJUc0l2IbBXmdl53nZcXoI4e4+cA1D2+kDMSXAEEWPgLR5xBdTTpYJ4x6j2TEIAlMtt5NIsomrP0LxLLGLBi7k4dLnQFssMuBdqRrVjp6q4HCPn6opz45NXgbcSg8LosYiJWZf6RO62gTiPHQfLSBM8D4wqnHdXBuA297l+Y0J6l9ouZYKA845lTIczbVViTMxiZuSFT+/PqXywlYUX5jGzTEsLfsNmeLF/OVYBUW0yHv2shUUXaWPmeXsjRBxebCPMO+HS3AbWeeUZ14GYhJ06MOvSldkrcMUG33hh2nVcWio7lWeZCpeWC57UYj7pVWUeWP0MNxdlES395Lg2G/502bGIqR9MEk4LXS42swyeS8toAY65gLMBo3LChUXsZ2YF8Z7n+QZEWHTRTEzAU/PW2DtzsjSczrGXlWk0+UXNk2W3duyrUUNoKTw175i3HZ99btcI4ZwwjbZiSs7iAETV6EtxJClM20wQ83KZx8LDe2Pry1ToUiKVzMW5Kcq9JnCmCjw+W+KpsGiCDMkzjx1FlemsxQkUER4aV1xuC7LsuLBoEYR5LqCZeVQm3jNuPLNlv1dWCg+fGVMUZp1ttE4aLC9DVBaxo3JCLEYlMak8uUATjM5jns3McxCVUS48OWvJxVY8948aHp8uCWL8Z6MgTBctznlatVXBH+7PmcwjowBIoJbDe7pMiZwyl7rMbnAkNSZWre152o+Z2jmayjbr95ctuZgJtQorHi2bWEWFFDPar0R2a9vI7XImJZuBN17xWYjFTEO1C7SSzCQUAs5bEqEpRk7YiOWVeHyaqb1tYBcPKp42pisZ+rQoQeBiMqU/axOiEJyAEybO05aM10TGzG4xF6ZtYtr2gZfeVjqLZNxRu3VA1dxx22wKuiuFlM2UeW5U26qrf1e8t0DEpnLkWChJECz/hjgzfeWsOITggpm3onlzVd73z2fG95xXtxuDwsBezjbaQOfEqIdTNkrjqUaeP2nois18vMAi2YyvS+a6OPKOcbTgvlIKoyqwU1c0OVNy5qlpawylaiyuy1jYrRJFoPEQXKERZRoLVXDsjWrb1G4zTpULc1t/T+rAxUVkPya6ojxQCi84O2HaJR4/WNCVwoVlx0Ojmgs5UxYtCuzVdW+CEZ7Yn7PoXR4r75nFRBdbLrX22/pFii3dfWG/SzzY1CyzPaiNd+A8s2VHEzzLlFmUTM4w8UIINZ+ZLk0peMeZpmIRC5UrxGL7QKnYYNZ2QM+xM/YW0doEz8h7RCB4C/6bxkSMiVaBAmlis8+xVy61HV1x5GI5ArroURUWOXGpjTy96PAiPH9vzNPzJW3M3DeuWRTjbooFRpXQhMAiRvaXhUttd2UFYiak3nRQlDYl8/GvPY9dmnGhK4gWdpuaWZtoc6bLhZF3THMhdomoiqaGuvJcbjtSKnSqOHHEnJlHWErmHJ6uX1VUoeLpeYsT4dK8JXaRJw9s0Ds3CjjxXF50XFxEAM40NnEQ9SxiZJEtqLEtytPmLIQDKMqiy7Ql88LdMWdHNX+0v2AeI2hhkY0wbx5h0ZujRlXiTBNoMSVcOZsodCnzxLLgli0T78kpcDDvaILQ4pi10PhATIkn55EHJxU7dcWleculpOx5YW8yYhxswtOlwpLMMmdizghGOT7ycHnZsexgpxHONB5ILJOZfHZ61oF5KlAHclHamJlUnqbyzLrCMiZStpXSyFl8xKL30ipaaJxjLrYBLihBPOogF0/jlUlVs79sOWgLWmzgjNjzk/ose8Gbe7vDNvURWwUHp2iwfBq7VaAtsFcHdpqKWZdouxZ6E1vlQfEYyZBDxFaqZ0c1KrBsW8YVPDRukJ67bpucUqK3MBJ323jkkUf03e9+903XM207npwumbeRZVYWKTLtjDwsA3sOxrWjDo4gZjvPJePEMe0KVYAzVeDSIhGBnZ5i3wksOuOVabFUmZHe7grUrtfYAhMPlzo7//IHd7iw7Li4jARs9nN+kWn7a8dwZQZee2vLO9v0nRfwmO96cPDwrm3sTaPNBp9ctKQMD44CF+aJRYGRN2VyqVXma3WPe3m1/0//G6SXP/fn+nGcBdfedF55WDkOZyht/18weUNfXwWcrSGJ+cEnNU6e1JdbtZeBCeCDnV9kaHsz0erVWcncAA80ME9WxhW7bq8SBGERCw44SPT53w7lbQTGNagKy6SIwDybvE7MFJEtQydpre127Xi9/3b7z7O1vpG+/1Z9UfV/ztNvtto1vX7l/rEjlsL59lDepm/D9/VL/3nlpLCCx+6r9H91ZYNeA1zK1ka99n3qZZnUUIsjxkJdCxeXSrd2H1xfdwfc10ASmLUQpK+nwLKXzQNnahj5wN6oYq+p8GDK3Tua4Cz+ImbOtx07IXDQdlQOxlXNMmdyMvfVxnvaArUzN1j1DldgGiPj4Nhpai4vbDWWAMmZeTbadBzUYs+tUZ/DpBLazvYZxqOKSuCJgw7n7R1zzrFoC8ty+B4D7FUwrgOTyhNTwXmHiimfWTR51Qln6orgbKWxN6rIuTDrIhfnkbYUHhhXLJJtzuyOKlKx1XQQz7IUghq78U4dqIPlOF93h98UIvIeVX3kVBdxjyuMC/PWVhFdZLpsmeXCtDt8udfhsMGyEljq4YA3wV6qKw4SHM4+rofVFnri6pc69OdW6B1HroveKHIVzvVmh9UAthrc81qbKwXQcTrUHA7e5TplT4MG+/2ZQ6WVuXYf1Jjss2t8twlWfXutvlth/bvVa7n6fHRAvhY2KfNsQsVmz/dJOOdBvLAXHOdGNXVVsYixX91nclY8yrwoHhugx95bjIMKMWcyjpwz3gsBy5+RFSYBFgqNFyZVg9juM/ttohJlkc3Mo2Z5MjcUtQmceMdObUy6SYVaPAddZ15Z2H1vewVeedAMWeC+iaN2nkqEpvKU3jy6v2gpAhNvTgQ42On3eXYao0YJvTl7mQqlmJn0wXHFuZ0Rl+ZLyyCII4niVG1FUfk+RsP47U4b7X2jCuOeNkmdG1VM25ZFNO1+0F09UK+jAHN4xqg1P1JufTZ5PRw3QB+VYVOVfq0B79IGF69mr6fFjVyzCdq148UGMtyMHKvuOU5ZHP3uaLlNFMFzSVnAzSsLsNUMWTnjMg/vjrjcFSZ1YBFtxV/UoZoJ4q7s5y1LpmSLzI4FmsqcGILaajqqyRYUztQVbY6IM4+6WbJRvojlHQleSdm4ryrnUc0ojp2qpsuFS/OCeHCNgMIsHa6ivAfft6kKVS2MfMUiZ9qsNFVAHHSdrZAr59lpahAlJtgbVX1bwk7wzFLmUs+O7LzjoVEFYildR0548X27LGKxfN9doaptg3+vCTcdOHpa3NMKw3zTPRfnif3n2ls9YMCzAE8s4b5ZizjHhdkS54QuZwTbSyRA2xV2msooP1Kic5DbQpDCQTaTJRya0Npi7rJBIJWWs+PaXFsDfeAlzGMxttfaaMILlsdi2nVkVVs9FFjEQm8hYteBD0Kb1QJ2nSDOMakcTbA4HA3K+XlnbsHOsVc7lkm53Bqb9E7taNwIxGJNpjEz6xJdzsSipBhRNe66UeXYGVWkYgzARWGZE6lzNM73CZ+2pyzgHlcYqsoTsyXtoCwGDLgjWAIfuzBnUsNuXVO04Jy3XNpJabtM8MYePO+ycVUFb/QcncVJrfJPrIbOlYl3R4wlFnEkMlWo0GTxFiqgWpg4oXhHhcelYrQhqVC0sN/ajF4wD6hpBulsTXqusd0nFVimghZzjRbvGGWYeId4y6UiIbPrHEGMRNEJIBYbs+dg2raUUozBV5RSMkuU3aqmy4IjM287sgpNMBdw7YNGzzThhjNO3gjuaYUBcLYOPO26QWkMGHCH0CmEPpVq5WyzOJVCKbZ3IAKTCs7WNUmUZZfZrYSUOs4E23t4srvalKnYZv5Ti8yZkql8jYjtE+xUniY4al8zDo5ZzKCZByYNsRSWRSkqjD2MnLnMxn6VcTZYvIr3njYrXpQzdaDLyqWlSVCHmuCUNgtRjCOqzYXWOVDHg3UAEfbbyDIWxHlUbf9Ce0p0XxQRR9FMmy1WKuPY9bbZPWsjlS942Z6ygEFh4LwcTk0GDBiwdXTADlgQY4rs1BUVpijqYKwKBQsarb2zXBtqLLniIaLXfIUd0DgYe8ek8ZwdNVxeJLwDj2Pa06TfNwp4aQjOKEJ2a2f0637M5Zntou0E29z2TlgqhGSBvOIcs6S0qSMlZdIEnFqq1iB9mA+wHzP31co0Kp+6bAnX9pqa2jsCQlUFslp8SBBlt6nJKE8dLFimxKSqQBNPpUyZWQzNC89NblnGyU1xzyuMWWs2ypO8ZAYMGHD7oMA0QdFEWyC4TB0Ce1WFeLPXz2JHLOalWGFxUuIUr45FVva8pdeY9e6uCZsH7lQeHwLBmaLxPcnksmcSCGKuua6P7hfncMCsK3RtQpzwwNiTgboKtCmzW3vGThCx1ckiZ0RBbeFAFSwPdymF+0YVnUJByKxcmE2xBIROlaRq5qgqUInSFehKYr5IeFWCC7TFgokFONtY36RitDWjIOys0RbdTtzTCmNcBR6aVLRdy9Pzwj6beyQNGDDg1mAVOzPPfWyNEzJGtIgKy5LIaoO9OGHRJrRkgjNutZEUdqqapIXUJiRzJQp7b1L1OTUKF6eZadehIuw1NecaT5eV6aKzjWsfyKUwjZlljohawqIshVyMDn6nCpxrPEVg2mYSavFaalGv+5ppcrGAvd5s1WXLU3I5W/6cg5x5PiNKbSa4SpTxqAJRUiw4J3gpLEohFWPBbrPl/NipHLVzSK+wvNOeJmYgH7ztWKbMLClJHMWV557/4xaxaazIgDuHO32PGmwVHziMB4pYfFPpz/k+Z3fdMx23JVkkdU8p83hr/G21QJFyhesreKFkoeqjuM9UjlQgOKMlr72naGHXVcxioc0Z7xzOCw82RhmeMsxjYt5Zgw7lICaCWvBmEE/OxrcmIhx0mb3KEii1vTLISVmizCk8PFHmsc+m54xxIaXE+ZTpsvJgFYzqJFTsLzsiBbISqoCqUcW3GbqSiQnG3qjMAc7UAR+88WkNbrXbwSgYMdq4z4q1mxKPx2fHwHenX/6juJtkuZV4rgTd3Q3PS+Qwoj9gCmR1fhXhngtcWEQqZ3FS54JjVpRFVBzKtDXPKBVovJE67lY1yy6zNwpGj0KhEzG215SZVI4u2yDdpUzRQuU9bSxUHqqdhi4pqpndqmLRLSxVay9PEaA42llL4wJNJcSsHKQEGthfJrpsK5pJ5ZkvM9nDpWWmI1N5EDzTtkWzUgXPNHb87vlI0xOchqDk6PA+03hBiyVLMkoXoamd1Z0KNZBUOVMZA/GQonVLELEkMVnh08mCge70S7Upni1yPtuxigKHZ+8eV8ONB2eeBkcZCo6icEhvAofUJbX07L/e2JXbVFhEyBJ5aFQTFFJKKId7E62CdDCusCRLMeO9IqFi3sFiYWSLD4wC3jsuzFraCCWAL1BKphLYL5APYFzZwD1tE0V7VgRL10ESCP1Kpy2ROmNZ8RQOYqTtqWHaDKqZOeAynLeEfowitD5Tcp/Vb8ex7ATENr+TKkUDO42Si7EKx5ypK9sUz2rEhVXw7IjlO1/mxOWlY7fZ7hB+TysMwDwuYjLKj/b6xZ+raLjaLXETPFdm3ydhRX9y0kC4TdxIn99uRbHCJn20IkFcKeKdYPQc6hyzWLjQGq/XbmUD9vllh/TW4pwOJ0qC0X8EVdo24x3sLzOhsvgK6XmiOqDrElqMNwuEuSptMpfZcW0JWhepsJx21H1OkWlnuS8wVn4qZ7TzIpAyXOwSSM/jBj0Fvv2w1QpqxcPWYtHnlTel8tQs0lSOHScUsBWKZnZCxSIbf1xRJaUW7wMlW+BeF4Ssjh3nEfwVOv9tYjsUh3cxmmA5uZ+edUxvcd3bvZWnx/rNvxFd+VxXFmD90nH3/NbCITngJqgwl9XbaeVebVo7jPvrJKz2LZYY/9cyWYR1jEbxYTy0kBRignlnA/Zu7a+QKq7yhkfgIBrhJhi55HyRaTslWToOulKg92LqkvFLuV7rlD6S++Ii0aZEG2Mf96AkLcyjeWWJwxI3eZgES5CEg71GCM5ICUd1YDIyJtwVv1xZ+82zYr+pCcYGXEohZsvYuVd7xj4QS0Gw/ORdsQh2UVAcuSgpWmK3aZvIWmhL6VdX25vO3PMrjAtzox6/HdQgd7sJY518cDBxPXuwYoXdBJFbw/10ElbMvjWnU6yCcYX5fMhgWyksowXLJWyAEixHhXhTfrN8SAZ6RXGkfh/Ew0E+VKyhFNQZW24WowOHntEZIw8sWGDeyFlisowxGje+j+PoAwmXCfbVqEWcgFcHmlFn+XSW6ZlMySsUzPy1W2CnEqKYDS6qoJoZBcfBInIpXs0Cvd8rAwfEZWGnSQQfmHWmBFexHNvCPa8wtBRzUbvTgtxBDMri2YXrETLeCWROL9eK6Xg1QC6uoQU74EKBC9PNZtGLtVlaWm+kP54fU82llSDxyDQvwzXVoMLlZV4rsxmmwDSuUV4uT754vUuWCvvLctXZT5+f8qqXPrSVoD24C01SIvJ1IvIREfmoiDx6O9taxEQVHJ/c7+4aG/WAAQMGbIonME68beGuWmGIiAf+NfBngceA3xKRd6jq79yO9kb9/sXtXrIPuMNYf6GOOZbjyhwtx2nrOl6Wq8odU+/Gch1bF9cus2ldx9S7aV3Htt9/8blv/QlGTz1BbsYc7axj29ANy50o89Fix/Xl0To3LLepjEeqOPb5OvL58dd+JR//698JwC9/4jwA3/z5D3O7cVcpDOCLgY+q6scBRORtwOuAW6sw3v9+eP3rmXaZgPI169+ddkA5bjA5sa4NymxY12YyXl3V6Qe9E16EjeriumVuVq5nvLwDnjVIoxHtAw/ZhyNBaLr++bhjuJpN6qh9ea3ssfWdVO5opSeVW/94Uv3H1Hf9+u1zWFydiefz2A7uNoXxAuBTa58fA77klreyswOPPELcXzDj+Jty9Pjqcsc9yFdXtckDv1G9G9e1fsXN1rWpXFz7u41e1A1fltP+3huq64SXmOPKnbK9E+u6Ebm4frmN7u/RujeR8Zi2T1nX4vmfxVOveS0DbhxfsIXVBdx9CuNab8NVU0cR+S7guwBe9KIX3VgrL3sZ/PRPcz/wzo985sbqGDBgwIB7DHebwngMeOHa588GPr1eQFXfBLwJLKf39kQbMGDA7cI27O8Dbh53m8L4LeDlIvIS4I+ANwB/9XY2ODyoAwYMGLAZ7iqFoapJRL4H+BUstubNqvqhOyzWgAEDBgzgLlMYAKr6i8Av3mk5BgwYMGDA1bjrAvcGDBgwYMDdiUFhDBgwYMCAjTAojAEDBgwYsBEGhTFgwIABAzaCbJO46lZDRJ4C/uAmqngQOH+LxLlVuBtlgkGu02KQ63QY5DodblauF6vqQ6e96FmtMG4WIvJuVX3kTsuxjrtRJhjkOi0GuU6HQa7T4U7JNZikBgwYMGDARhgUxoABAwYM2Aj3usJ4050W4Bq4G2WCQa7TYpDrdBjkOh3uiFz39B7GgAEDBgzYHPf6CmPAgAEDBmyIQWEMGDBgwICNcE8qDBH5OhH5iIh8VEQe3XLbLxSR/yEiHxaRD4nI3+vP/7CI/JGIvLf/+4a1a36wl/UjIvK1t1G2T4rIB/r2392fu19Efk1Efr//f9825RKRz1/rk/eKyL6IfO+d6C8RebOIPCkiH1w7d+r+EZFX9/38URH5FyInpNG7MZl+VER+V0TeLyJvF5Fz/fnPEZHFWp/9+O2Q6QS5Tn3PtiTXz67J9EkReW9/fpv9ddy4cEefr2dAVe+pP4w2/WPAS4EaeB/wii22/zDwqv54D/g94BXADwPfd43yr+hlbICX9LL72yTbJ4EHj5z7R8Cj/fGjwI9sW64j9+5x4MV3or+A1wKvAj54M/0D/F/gS7EMk78EfP0tlulrgNAf/8iaTJ+zXu5IPbdMphPkOvU924ZcR77/J8AP3YH+Om5cuKPP19G/e3GF8cXAR1X146raAW8DXretxlX1M6r62/3xAfBhLJf5cXgd8DZVbVX1E8BHsd+wLbwOeGt//Fbgm+6gXF8FfExVT4ruv21yqeq7gAvXaG/j/hGRh4Ezqvq/1d7uf792zS2RSVV/VVVT//H/YJkrj8Wtluk4uU7AVvrqenL1M/FvBX7mpDpuk1zHjQt39Pk6intRYbwA+NTa58c4ecC+bRCRzwG+CPjN/tT39GaEN68tPbcprwK/KiLvEcudDvB8Vf0M2EMNPO8OyLXCG7j6Zb7T/QWn758X9Mfbku9vYrPMFV4iIv9PRH5dRL5iTdZtyXSae7btvvoK4AlV/f21c1vvryPjwl31fN2LCuNa9ryt+xaLyC7wn4DvVdV94N8ALwNeCXwGWxrDduX9MlV9FfD1wN8RkdeeUHar/SgiNfCNwM/3p+6G/joJx8mxNflE5I1AAn6qP/UZ4EWq+kXA3wd+WkTObFGm096zbd/Lv8LVE5Kt99c1xoVjix4jw23ts3tRYTwGvHDt82cDn96mACJSYQ/FT6nqLwCo6hOqmlW1AD/BoRlla/Kq6qf7/08Cb+9leKJf5q6W4k9uW64eXw/8tqo+0ct4x/urx2n75zGuNhHdFvlE5DuAPw98W2+aoDdfPN0fvweze3/etmS6gXu2FbkARCQA3wz87Jq8W+2va40L3GXP172oMH4LeLmIvKSftb4BeMe2Gu/tpP8W+LCq/tO18w+vFfuLwMqL4x3AG0SkEZGXAC/HNrVutVw7IrK3OsY2Tj/Yt/8dfbHvAP7zNuVaw1WzvzvdX2s4Vf/0ZoUDEflT/bPw7WvX3BKIyNcB/wD4RlWdr51/SER8f/zSXqaPb0Omvs1T3bNtydXjq4HfVdUr5pxt9tdx4wJ32/N1q3bPn01/wDdgXggfA9645ba/HFsivh94b//3DcB/AD7Qn38H8PDaNW/sZf0It9Dj4YhcL8W8Lt4HfGjVL8ADwH8Hfr//f/825erbmQBPA2fXzm29vzCF9RkgYjO577yR/gEewQbLjwH/ip5x4RbK9FHMvr16vn68L/uX+nv7PuC3gb9wO2Q6Qa5T37NtyNWffwvw3UfKbrO/jhsX7ujzdfRvoAYZMGDAgAEb4V40SQ0YMGDAgBvAoDAGDBgwYMBGGBTGgAEDBgzYCIPCGDBgwIABG2FQGAMGDBgwYCMMCmPAPQEReWPPAvr+nnn0S/rzPykir7gF9X+viHx7f/xOEXnkFNd+043KICJ/UkTeciPXDhhwWoQ7LcCAAbcbIvKlWNTzq1S1FZEHMaZiVPVv3YL6A8bZ9KobrOKbgP8K/M5pL1TVD4jIZ4vIi1T1D2+w/QEDNsKwwhhwL+Bh4LyqtgCqel57GpTVakBEvlEO8x58REQ+0X//6p547j0i8itHopVX+EqMtiStnftrIvIbIvJBEfliEXFiOQ0e6ut1YvkKXotxZP1o3/bL+r9f7tv8nyLyx/trvqWv730i8q61tv4LxlgwYMBtxaAwBtwL+FXghSLyeyLyYyLyp48WUNV3qOorVfWVWGTvP+65ff4l8HpVfTXwZuAfXqP+LwPec+Tcjqq+BvjbwJvV+JP+I/Bt/fdfDbxPjW77HcD39+1/DHgT8Hf7Nr8P+LH+mh8CvlZVvxBTMiu8G2NaHTDgtmIwSQ14zkNVpyLyamxQ/TPAz4rIo6r6lqNlReQHgIWq/msR+QLgC4BfM1oePEYrcRQPY/kL1vEzfdvvEpEzYlnv3ozx+vxzzIT1767R/i7wGuDn5TBRWtP//1/AW0Tk54BfWLvsSeCPndgJAwbcAgwKY8A9AVXNwDuBd4rIBzAit7eslxGRrwK+BcvKBkYV/SFV/dLrVL8ARkebfKYI+ikReUJEvhL4Eg5XG+twwKV+pXO0gu/uN+v/HPBeEXmlGpvqqJdhwIDbisEkNeA5D7G84C9fO/VK4A+OlHkxZvr5VlVdDb4fAR7qN80RkUpE/sQ1mvgw8LlHzv3l/povBy6r6uX+/E9ipqmf65UYwAGWlhO1HAifEJFv6a8XEfnC/vhlqvqbqvpDwHkO6a0/j0Pm1wEDbhsGhTHgXsAu8FYR+R0ReT+HOdTX8TcwZtC395vPv6iWwvf1wI+IyPswBtHXXKP+X+JwVbLCRRH5DeDHMabWFd7Ry7Nujnob8P1imd1ehq08vrNv80McphD+URH5gIh8EHgXttcCZmb7bxv0w4ABN4WBrXbAgFsAEXk78AN6dXrPa5V7BPhnqnpLNqlFpAF+HfjyI15aAwbccgwrjAEDbg0exTa/j4WIPIplVPvBW9jui4BHB2UxYBsYVhgDBgwYMGAjDCuMAQMGDBiwEQaFMWDAgAEDNsKgMAYMGDBgwEYYFMaAAQMGDNgIg8IYMGDAgAEb4f8Dix4woY/VnzgAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "x1 = np.linspace(0,1493, 1492)\n", "x2 = np.linspace(1493, 2000, 506)\n", "\n", "y1 = reg1_min[0]*x1 + reg1_min[1]*np.ones(x1.shape)\n", "y2 = reg2_min[0]*x2 + reg2_min[1]*np.ones(x2.shape)\n", "\n", "plt.title(\"Régression linéaire des RTT minimums pour chaque taille\")\n", "plt.xlabel('Size (bytes)')\n", "plt.ylabel('RTT (ms)')\n", "plt.plot(resDict_sub_1500['size'], resDict_sub_1500['RTT'], ls=\"\", marker=\"*\", alpha=0.1, color='lightblue')\n", "plt.plot(resDict_over_1500['size'], resDict_over_1500['RTT'], ls=\"\", marker=\"*\", alpha=0.1, color='lightblue')\n", "plt.plot(x1, y1, color='red')\n", "plt.plot(x2, y2, color='red')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Analyse du jeu de données 2\n", "\n", "Pour analyser le second jeu de données, on applique le même process que pour le premier. On commence par récupérer les logs et les transformer en données utilisables." ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Il y a 63 lignes malformées dans le fichier\n" ] } ], "source": [ "resDict = extract_datas_from_logs(data_set_2)" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[1421771203.082701,\n", " 1421771203.408254,\n", " 1421771203.73973,\n", " 1421771204.05663,\n", " 1421771204.372224,\n", " 1421771204.688367,\n", " 1421771205.005514,\n", " 1421771205.321112,\n", " 1421771205.637464,\n", " 1421771205.953472]" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "resDict['timestamps'][:10]" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[1257, 454, 775, 1334, 83, 694, 1577, 632, 405, 1419]" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "resDict['size'][:10]" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[120.0, 120.0, 126.0, 112.0, 111.0, 111.0, 112.0, 111.0, 111.0, 111.0]" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "resDict['RTT'][:10]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Ensuite on affiche les données et on cherche une intuition visuelle." ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# On affiche seulement les 10 premières mesures\n", "plt.title(\"10 premiéres mesures de RTT au cours du temps\")\n", "plt.xlabel(\"Time (unix timestamp)\")\n", "plt.ylabel(\"Round Trip Time (ms)\")\n", "plt.plot(resDict['timestamps'][:50], resDict['RTT'][:50])" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# On affiche seulement les 10 premières mesures\n", "plt.title(\"taille des 10 premiers paquets\")\n", "plt.xlabel(\"Time (unix timestamp)\")\n", "plt.ylabel(\"Round Trip Time (ms)\")\n", "plt.plot(resDict['timestamps'][:50], resDict['size'][:50])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Comme sur le jeu de données 1, il semble qu'il faille pousser un peu plus l'analyse." ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.title(\"distribution des RTT en fonction de la taille des paquets\")\n", "plt.xlabel('Size (bytes)')\n", "plt.ylabel('RTT (ms)')\n", "plt.plot(resDict['size'], resDict['RTT'], ls=\"\", marker=\"*\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On retrouve la même fracture à ~1500 bytes que sur le premier jeu de données. On notera que l'axe des y ne commence pas à 9 mais à 110, l'offset de RTT est plus élevé que dans le jeu de données 1." ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [], "source": [ "resDict_sub_1500, resDict_over_1500 = split_datas_at_value(resDict, 1492)" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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Y+VhmbmfmRwrVLgMDg9Kjqz+Ov7v1aXQNxFMH7Ry9+l6GkI7FAZD4X9sC1DanjnFC/JVDiKk95NXetlAEuP9TwfSIbNdn5ABjtWFgYFB0rFyzDet3HsTK1dtSB+0cvf39UBfQ3C5eN7cLbUA9VlkrNINysbZQbcsbZ6W3bddTwfWIbNdn5ABjtWFgYFA0tH/lEQyPjacdezV6BWI0mr9KytDaIols7Djc9Iws+1pyDcLAwMDAjnVfPBMfOnEqYhXiqydWEcJNc+9FfP5HUnx9OAY0zBB0DKDXG5yOlTu3n40dxw1bgPblKQ0DEK/nX1DwvpoJwsDAoGhoqY+hLhrB8Ng4opEQhsfGwTWtiNU0Cm4+HAUScfHLODGS4uyl3qDaWOiO+dEd9m8B/nMacOvpwbn8XNcy6Ow4yEOPKMT6DJ8wE4SBgUFR0TM4jMtOnoUHr38PLjt5FroHh1N8fft5IlHf3kyrbN1WpNlsT/rAp4GRQWD/C8G5/HysZbC3ucOHHpHv9Rk+YTQIAwOD0qMYVtl2v6Yg9RSifSW0BzcahIGBwcSBGzefL4uKa9cBdVMzj88+3ZvLL4SVtywzbGkt4Vh6mWVgzWEmCAMDg9LDzSo7XxYVU04Qddgx1OXN5RfCyjtZprUWJBFPL7MMrDkMxWRgYFAeuPcyoLY1ZZW98XaAxzPT5ULBfKcdGOzUn/Mq196+wbeAi+/Orh1AcPuQPFJPfikmM0EYGBiUJwY6gce+Arz6EDB2RNA6xy8Hzr4pt1/uhSo3X+14zw3AE/9T0PYZDcLAwGBiQGchMdAJ3H+lsKRI2mscAXas81+mE3/vRBeBnfN46QHyfOeLejtyXd66NhHKO3YECFWm2tG2OLN9Y6PAD94J3HpGUTUJM0EYGBiUFjoLCcm/dzyVstKINQp6yA8n78Xf68Jj3fJ4lSfP/+ZqZztyXd431oj/DVPTw3Tt7XtjtRWau7momoShmAwMDEqDbC28JXScfD6tLCLWBkRu5WXTh0jUPY+6RWouobkuMBSTgYFBeUNrIREC6qelQj8pjIyvqUjMOcQ0WysLpzxe5SXPx9LLDMfcrUCuXSfsRFQ0zgSuezL9mDY0l4C5ZxfFUsRMEAYGBqWB1kJiXHyRJuLCdoMTEBtPKl9VY7YQU8nx73/R0i3C+nBUNy3Ayf4C5B7emsw7kproKAyMj7hbgUw5QWyJqkK3Rao2NJfF5FIEQT1S8BoMDAwMnDDUJWy6RwaBSbMBZrF1KCBsN/ZtEq8TI8DAfvFaWn1LSI7/gauBnteBBsumQw1HVdOt/Taw/HuZ7VDzbF8N9O0Wae3n7BYX8nzPNvG6pgVomptK55Q33gc0zwfO+JKox2mL1HifGKPpS4FDb4oJrkhW5kaDMDAwKA1y1SC84KUT5EvDmIAwGoSBgUF5I4PfjwENM1P6Q6QKmL8cOO4Deqvra59It6qQsGsUQXSJQlhqTGCYCcLAwKA0yOD+RwQPP67afLcKvl1ndT1lsaU3xJH8KqOwKMeuE4TCYr1BOOpuk6Hb2lSXNh8+SQOdYu3Hz95fUr8lNxgNwsDAoHSw8/uv/lHP2TfOAqaeBBABe59PHe94WvyvawViDZn8v4RM134eUH2MO4cvtzHtfi1T75Bw0zP8Yu0tYu0HkFs5BYTRIAwMDCYe/GoFQTUFr/T50CgKsIVoUBgNwsDAoGzR1R/H3936NLoG4tkV4FcruGo1UDUZADmnU+miG7YI3SOZ3qZnXLUaqG5KrXugUPCtP2Udqq4CTTk6GqvIFuBmgjAwMCg6Vq7ZhvU7D2Ll6m3ZFeDXfnvjHcCRgwDY0ic06VS6qK4N6Nku0gOZGsTGO4DDPeI4hcW6jQPbgq1JqGsTVJiqq2A8cwtRnUVHkS3ADcVkYGBQNLR/5REMj2VaeEcjIbz2zfOCFeZmv+1G41AI+Nqh/IfZBqGHvj7J2coc8N+uLCkpQzEZGBiUHdZ98Ux86MSpiFWIr55YRQgfPnEq1n3pzOCFXXy3EHbbFov/6t4MOhpHhsf+y6upNPYw27ppSPtatIfUyrQUTpWdTSjsv7wSzN7DzbajgDAThIGBQdHQUh9DhAjx0XFUhgnDY+Ooi0bQUhfzzgykc/B2Pl59X9cmVh/rwmMzbDKUMNtoHYS1h5Kn42mRT03LCfEn6a2QZc2xX2P3rWu/m4WHjj5TbTvCUcsiPFJwuw0zQRgYGBQV63ceBACctaANl508C92DAWgelYO38/H29zK0ddJsYOFFIlTWySZD2mrHe0W6hReJfIDQHFTLjatXizSNs1L5dj2VsvvwYwtuL0+1+ta1a/Ct1LF2i4rb9ZT/ccsSRoMwMDAoCnLSH/KhF/jl64OEoXq1qxjhsVnoEEaDMDAwKCvkpD/YeXlVAwjHxGprGXqqs+wIwte76Rf2MmS78mn34dauItuAFGyCIKKfE1EXEb2kHFtBRHuJaLP190Hl3I1EtJ2IXiOicwrVrnwj53huA4OjBC31MdRFIxgeG0dlJIT46DgiIcrUH3Sx/qpdRqgyXQMYHwEqaqxf1yT+2y07nKw1dNCFoXIiterZnjZaJ+pKTighEQaragSqriA1hDf+6t0Wu67iJ7Q3jyjkE8QdAM7VHP8+M59o/T0MAES0AMDFABZaeX5MlLaKpGyRczy3gcFRhJ7BYVx28ix8YH4LAOC5HQczEznF+ktNocHaQKeyNl07kFuTNreL9078vh8MdQmNYcGFQo+orHXe7lRqA7PeI+y7a60vbLtGYNcQDnd7r2ewj4WbblEAFFSDIKLZAB5i5kXW+xUABpn5O7Z0NwIAM99svX8MwApmftqt/FJqEHmN5zYwOErg+rmJXVG6dQlOyKdVeD60jTxZcZSzBvFZItpiUVCTrGPTAOxW0uyxjmWAiK4hog1EtKG7u7vQbXVEXuO5DQyOEqifm2Ycwn3R/8DfL4riyc8sAFoXC2tvaXMBEjYZl//Onee/zrZGIRwTdhhX/yWV1suiwum8F+9vt+nIWL+wHGg7QYS/yv7ptI2r1qTXLy09kn2m4JYeeUCxJ4j/D8CxAE4EsB/Ad63jpEmrfbRh5p8w8xJmXtLc3FyYVvqAyqdGI6Hg8dwGBkch1M/NP1f+FkvwGi44dCeaNv4PsO95YPd6pD76LGwyXvl9Js+v2nq3LbZx83ERmrrh56mKvSwqnM578f52mw572gPbgb0bRfjrvueB3t36tRkbb0+vX1p6JCxLD3BwS488oKgUk9O5iUgxAcC1d25Ac10Mly6diVXPdaB7II5bL/d8ajMwOKox8vVmVPJI8IwUAmadlrmt58V3C9uN1x6x+Ru5IEj4qc7SY/uf9fkoJLSBTXeKCcy5M8DCC4GXH/TXXqe2ZQm/FFOxNYgpzLzfev3PAE5m5ouJaCGAVQCWApgKYA2AuczuV7vUE4SBgUEWGOgEHvsK8OpDIpqHwmIvami8iQBxvv2DwPnfdf8FbS83UgUc934AJPaYlseOXw6cfZMoS5dHPR+kLl25r/zB2tDIQiQGHH+Bc/3hmFgxPdSdMgQErIgtn23zgZJrEER0D4CnAbQT0R4iugrALUT0IhFtAXAmgH8GAGZ+GcB9ALYCeBTAZ7wmBwMDgwkKOxXDCQDjNvtrBXaLDMA5FNZO8VTWAXueE1+2Ooqork380pfhs35DRwe7gK2/tSYHh3LdaDE5Odx/pQiHVds81COeTnSWHgUOa7WjYDvKMfMlmsO3uaS/CcBNhWqPgYFBGUHdSe7ey8Sxxlni+GC39WVYB8w8JX0HOQmnHd3sO9RtXy3yNs8HPvqz9F3qJN5YI/43TAWOfb+/0NEHPg2MjwKxRuBTD+nLlW3p2ZZJi6l9aNibavNvrga6X021V47NxXfr6ygwjNWGgYHBxEE+d5Jb0eBcz4o+h+NZ5LEjiG1IgXaYKznFZGBgYJB3+LWb8JPu2nXCokNF40zguied688mj58+zF8uwliLbOftBTNBGBgYlB5O6xDsx93CTv3YUoBTaaacICw5VFRUA20ZQZcpZJPH3g9728biwOuPCSsRr365jVUBYCYIAwOD0sNpHYLuuJPdhB9bCnuaeJ/g+z92u/h/pNe7rdnkcWtbrEHoGdtX++tXEbcdNRqEgYFB6RDUxjsbiwu/aQoBt3rd+r2iz//YGLtvAwODtyWctAK7fYYbJ+9HbyiBVbZnvV56hj1vhq35BLb7NjAwMPCEk1Zgt88YiwM7HhfrD24/L31rTz+6xGA3sPNxsW4BJMpT1xQMdAI/fT9w6+nAz87y59nkRzdxa5tOzwhXpvQMmXcsLtqcGBa25oksbcyzgJkgDAwMSgsnTUE93twujsstPe1be3rpEg9cLY7FGsVxWZ7E2luAvRuA/S+IfR/8eDb51U3cLLqlnjHHMvns25s5Nvm0MQ8Io0EYGBiUL7Ll4fOxRalabi7luWkEbhoFUDDdxGgQBgYGZYlAuzBKHj4U1Z+3b+0JCIqndbFYV2C3CJcIK1bhx52Ved6+xWhyG1L5lal8dUot4NoAuomE3dZbzWOvswRrI8wEYWBgUFQE2oUx6Wmkc061eRtJrL1FWGv3bLNtBapgXLEK792Ted7u/1TXBvRsB1h6Ro0rbbC0gCl223EfGoFq623PY6+zBF5MhmIyMDAoCrLahdGN2pl9errld75oJUD4QrUt9l8uhYCvHdJbg198d2Z6pzIpLLYkdbMT/9qh7PqkFlMOdt+FhpkgDAwmDrr64/jmw6/gTy93Ij46jlhFCOcsbMOXzz/eeaOtIHbcTmlPvQF48n8yj7/nBuAJzXF72Tp7ciA3C26/duFBbch9wmgQBgYGZQX7Loz1YwfwT7tvQAtcTO68dnTzk3bKYmFjMXYECEedQ2nd7C12Pp6yDHez4PZri+HVryD9LiDMBGFgYFA09AwO47KTZ+HB69+DH0xdjVlDW7wtI9zCRP2m7bA2p2w/zzmU1sneYu0tlmV4u0jXOEv86doTxBbDq19B+l0gGIrJwMCguCim7UXQuvzoDUHsPvzWW2QYisnAwKA8UUzbi6B12dNTOKU5BLL7iAENM/XhqxMIZoIwMDAoLrLl17OxufZblywblLkdqp8tPzPqGRE2GuPFs8UoBMwEYWBgUHxkw69na3Ptpy61bDW9m97gVU+RbTEKAaNBGBgYlDcKqVmUyga8xDAahIGBwdsDhdQsSmUDPkFgJggDA4PyxUAncP+VQCiSsr22W3XngkKuNyji1qCFgpkgDAwMyhdSG+h4Kt32Op98fqHWGxRxa9BCwWgQBgYG5Yds1yOUAyaArpE3DYKIphPRvxHR74hoPRE9TkQ/JqLzicg8gRgYGOQfdhtsv+sRVJSC4hnoBNpOANovCK5rlCEl5foFT0S3A/g5gBEA3wZwCYDrAawGcC6AJ4jo9EI30sDA4CiD3Qbb73oEFaWgeNbeAuzdCBzYFlzXKENKypViIqJFzPySy/lKADOZeXshGucFQzEZGLzN4EYtNc4S1tluNtpuZRSS4nGqM1wJnHR52bW3YHbfRDQJwAxm3pJt4/IFM0EYGLzNkA+b6wJbZee9zhK0N6/rIIjor0RUT0STAbwA4HYi+p5Hnp8TURcRZTyBWJoGE1GTcuxGItpORK8R0Tl+2mVgYDAx4bjtaD7CTgsVuuqmEdjrHIsDL/8W6HpF5Ol80X/eMrLl8CsyNzBzP4CPALidmd8FQLORaxrugNAp0kBEMwB8AECHcmwBgIsBLLTy/JhIt0+ggYHB2wGu247mI+y0EKGrXhqBWmesARgfBX59hcjzm6v95y0jWw5fFBMRvQjgbAC/APBlZl5PRFuY+QSPfLMBPMTMi5Rj9wP4BoDfAVjCzD1EdCMAMPPNVprHAKxg5qfdyjcUk4HBxEJW246WGkE0ghUN/soscchrvq02/gPAYwC2W5PDHAA+dhzPaNSHAOxl5hdsp6YB2K2832Md05VxDRFtIKIN3d3dQZtgYGBQQqz74pn40IlTEasQXz2xihA+fOJUrPvSmSVumQuC2HFcuw5omOFcVjg2oaw8fE0QzPxrZj6Bma+33r/JzB8NUhERVQP4MoCv6k7rqnVoy0+YeQkzL2lubg7SBAMDgxIXUlH4AAAgAElEQVTDvu3o8Ng46qIR5z2piwE/6w/ULUcTwwBFgPs/lcqzfwtw8wyAQsLmWwcKC/vvoPpCCddH+BWp/4aIvkdEDxDR7+VfwLqOBfA3AF4gop0ApgN4nojaIJ4Y1Gl3OoB9Acs3MDCYAFC3Hb3s5FnoHvSxE1sh4aUt2LccfdeVwvpDzfPAp4HhfuA3VwHxPqB5PjD1nUCsEQhViPez3pOdvlDC9RF+NYgXANwG4EUASQKRmdd65JsNmwahnNuJlAaxEMAqAEsBTAWwBsBcZk64lW80CAMDg6zhpS343UbUCSv6ss8LFHR9RL41iDgzr2Tm/8fMa+WfRwPuAfA0gHYi2kNEVzmlZeaXAdwHYCuARwF8xmtymAhwDOU7imHGxCAneNEt6nmvtF7agu78/OXAfMVGIxxNvZZonAlc92TwtgdtXxHgd4L4HyL6GhG9m4jeKf/cMjDzJcw8hZkrmHk6M99mOz+bmXuU9zcx87HM3M7Mj2TRl7KDayjfUQozJgY5wQ8dJM97pfVaf6A7X9sK1DSnjo2PAuO237IV1UBbBmkSnCoqg/URfimmmwFcDuANpCgmZub3FbBtnihXimlChvIVGGZMDHJCPuggHTVz72XiS3/JlXoLD915QBzb9EsgMaqvS6WXcqGKvNqXJfJqtUFErwI4gZlHcm5ZHlGuE0RXfxzffPgV/OnlTsRHxxGrCOGchW348vnHlzZao4QwY2KQE7zsKOzn5TpbThTOusKvRUYprD88kG8N4gUAjbk16ehBuYTylRPfXy5jAriPi3qu0ONX7OtTTvdDYKh0SzgqvmhDEWc6SHV/HYsDOx7Pb3uSO92F/VFA9jDZMrHS8ILfCaIVwKtE9FgOYa5HFcohlK/c+P5yGBPAfVzUc4Uev2Jfn3K7HwJD2lG0W5Tkrqf0569eLZxfG2eJ13IHunyGiSZ3unva2yJDFyZbJlYaXvBLMZ2hO+4VyVRolCvFVGoYvl8Pt3EBoD1nT5eP8Sv29Xnb3A9BufxChIkGKbOMd5bLC8VERASIiUD3p6YxKB9MSDuDIsBtXOznQgSErTs73+NX7OvztrkfgoZ9FiJMNEiZZRCmmiu8KKb/R0SfI6KZ6kEiqiSi9xHRLwBcUbjmlQZ2rtaNlw7K6/rlv7MtAygM318I/rqYfD/gPi72c+MMJBi+xy9I+53aAUZBxsCt32WtS9jXDTiFfYL16wtyCRN1WrOgK1PabkhLb/kfJNKOxcXrsXjhbcfzDK8J4lwACQD3ENE+ItpKRG9CGPVdAuD7zHxHgdtYdNi5WjdeOiiv65f/zrYMiXzz/YXgr4vJ90u4jYt6bsakKsyYVOV7/IK2X9eOQo6BU7/LWpfQrRvQ2WK7rS/I1kY7SJnSdkNaeqvW3kNdQnsAUlpIriii9YbvHeWIqAJAE4AjzNxb0Fb5RL41CCeuNgiceN1s+G97WaXgkgtRp59xnij8eD7G5+1yXfMGv9x9uWoMXsi2fXnsb77DXMHMo8y8v1wmh0LAztVGI4RpjVXJL/EwCW5anAtZ58QBL143CP/tVFYpuORC1FlMvr/QyMf4vF2ua97gl7svG43BgXoMRYX1tzyfa/tKoGn4niCOBmRytYwDQ8PJ9wkGxi1eeiQxjurKMEYS7IunDsJ/x0fH8fQbB3yVoUsH5E8z8NIz/Goy6vFc+f5C9jdoWfnQe/yUkU3/3PKU07oULdR1A2NxYMc6cVzl3+vaxDqEsSNibYSXJuEHQXSLZNqR1MI8CQoDPApU1IjzsqzEKPDDJUBnxk7M+W1bnmAmCBtUrnZuSy3io+OY21Kr5aX7jowG4vn98t9zW2rRNTCs5YXT0jU7p8snt+zWbr+ajP14Lny/Dvnsbz70hKDwKiOb/nnlKZd1KRmwrxtobgcGO/X+Sh3WppPt5/nTJPwgiG4h0856j7D0rjom3do73pte1vbVKVvwQrctD3DVIIjoT8x8dkFbkAMKtQ6iVPys33rzoWcUqq1+UY5rCsqRl8+mTeXYD1/I1V7bCWWw7sB1K9JcbcGzQL40iKNyyzYdP3vuwlYcP6U+b+GAusf/dV88E+csbE3qHNloEeu+eCbOXtgKcimjqz+Oi370JC780ZOBw23luQevPxUfOnFqclJy0mQe/vxpaW0lAs5Z2OrKdcs6tu7r86RVdGNxzsJWLJha7yu/V1mF4uX9UkZu/XPK69aPIGPrp63ZUnsZ+QY6gdbFNivtWDqHT8rXlf0cCJh9OlA12Z3zH+gEfnQK8PVJwJs5rPMNYisO6LcibZwJfPJ3+bMvLwC8JogGIvqI019RWlgC6PjZN7qH8MKe3ryFA+oe/1vqY3izewjjLERbJ17YS8/Y0T0EZiH+6spYuWYbNu3uxebd+v74CcVd9WxHsg2AqEenySyY2pBMFyKAGXize8iV65Z13HDvZk9aRTcWb3YPYfPuXl/5/Y5rvuGXMnLrn1Net34EGVs/bc2W2svIt/YWYN/zQM82xUp7JJ3DZ+WpSD1HYQAMdG4Bjhx09zxaewvQ/Yoo675PBmpzGoLYigPAlBMytyKtqAa2/j5/9uUFgBfFdADA7+CwZzQz/0OhGuYHhbTauPbODWiui+FX6zswmsgco2wf14NSMyEC3rz5fMf2Xbp0JlY914HugTj++lq3tmxZhlvdXvSU0zldXQ997r3JNt16+RLMufGPGNfcZn6pM6f0El7Xyiu/rix1XG+93PNJ3DeyoX+yuRft/Vj17C7tNXAroxBUpr3MV6NXIEYay+xwBXDSJ4FX/yj0h2xAIaD9g8Ie24u+8kvzZGsrDgDfaQeqGoEzviSM/tzy5lKPD+TF7puINjHzSVm1oAgohhdTvm2qncq79vQ5+N/H38ypHq+2dvXH8X9/9xJWb30L8nsmRMAHFrTiGxcuAhiO+e3nopEQmmqj6BmMY3iMXdvrdwxlusde2o/hsdR9GY2EcO4i77HINX8xkMv9lI+8QcbGrT63e8XPNZL5ZlT04fuN9+NdR54COVlh798C3Hsp0Lc7VVDjTOCCHwCb7gJe/YO1WtlCOAYsuCC9jIFO4P6rgV3r0hsUqQIu/RUwR2s3l4l82YqX2L487+sg3o5wCtG087NPbutBfHQclWHKiy3CM28cSH7J6qiYyjAhPjqOCFHewyU3dfRC/RE6zkBzbTRJT42OjSM+Oo6KUDo91VIfQ4REuwBxToQAp1NK9nHp6o/js/dsQoTIk7qR7R9JcFKHCRMwkvBH9ejyA/7z67B1Xx8Wf+0xbN3f5+u4G3RjER8dx8Mv7sfrnQMZ42bXidRrIO8RpzBnO3RjE4K4jvb7TH4OQNDek2Dg2js34slt3WnXNEyEa365ERf9+Elt2LPs/5h1j1WGCXvGGpCorAVJWklnze1Ezxy7LDPMlMKCfrJTS3VtQNPczIGJRFOTg53j13H+brbiQcJO3UJWk1bikdzryRFeE0SPx/kJDacQTZWfXblmGw4MiX2SzlrQlrMtwso129A1MJwMnVXDC2XY4VkL2gAAz+08GLhPXiGpXQPDqKkM4/zFU3D+4imYMakqLc3jr3cDAKY0VmfkX6+0pyEWSQsBdhoX+X79zoO+Qipl+0+ZcwzmtdZi6ZzJgUIw1fwNsQgAYG5zbdYhnDfcuxkDw2O44Z7Nvo67QTcWDbEIRhOM6+9+PmPcdDqRvAZnLWhzDYfWwT62zfVRAJn3mXoNdfekbNuBoVHMbU5d//U7D2Lz7l5s6ujVhj3L12ute0x+niqOHEiFbjpZc8f7RPjox24X/49Y63XtYaYyvFQX/jnUJWinyjpg2t+KL+DRI6nzdo7fifN3shUPGnbqFLKatBJ/Kj/15AAviul5Znbde7qUyJZiyoelhh1BuVddvkKFJ/opd/b/+aNjfvkLMR8oRqhlPsbRbTycsPNbmVqRW3vyDb/9K1Z7/CIaCeG12BWls8b2G15b6LYU0R48XxRT49sxisnJUqMynK7Fh2zSfJiAZe3NOHtha+BQSD8hlIUKs/RT7sOfPw3TGqvS8k1vrMLDN5yWDL8Na0IVohF9OGtQK5J8Ih/j6DQeP7zkRMdxCtKeZfOa0NYQzUhbGSZMaYilfTBDBCyb14RzlPtOtX0J2j+n8bFfQxlSq9Zr/0zIti2b15R2LkRAW0Msef1DlJk3GqFUu0tpjZ1RdwxomCm0jGK2pQztwT3DXAEsB3CB5m95YZtWOEg+Nj46DgIwPMaorgxjdFzhZwkZUR8JBqorw2iujaZxr5EQ4bOrNqXpEV7cq46H97KB3rqvDxf+6Eks/8G6NJ7XXp8OT7/R42jR0dUfx4o/bM2YICvChAVTGtBSH0NTbRT2AJoQBL//9BsH0FQXTfHjlhWJ1ChIE26bb+sINc1n79mESIiS19eJq+/qj+PCHz2Jc76/Fgu/9mhST3Acj0gIv3ymA5WR9OPdA3F84ddbMq6JhF2/iY+OY/qkalRFwhlpRxKM2mgE6u/7cQaqKyPY1NGbLEO1fQkajut0nzXVRjP0sebaKJqU+93+mRhnYPqkakyuiaadG2ckNQ/5XoZvA+LzNZLgVLvtnLxqrwH4XwPglM4tf4YeMCI0jvGR3Dj/oOsW/FhpFHkthNcEsYuZ/4GZr9T8lTTENVf0DAodAADmttQmbTOaa8WvuubaKGZMqkJVRQi1lakP8trXujN4/ud2HMzQI/xwrzpe3M0G+oZ7N2Pz7l68tLc/jee112fHyjXb0D0wkuSL7RYdMu/+/jjmtdbitOOOAQDs70992fUMDmPGpCqcv3gKqqxfk8310bSyJD/+gfktmNssbEoaYhEwZ+oAhbCOUNOs33EweX3rYxEtV79yzTZs3t2L194axNBwIqknyDI6++NoqIqAADRURdDZd0Qc75Pj1AQAGE4wXt6XeU1UqPpNfSyC7sFhdPZnTibyXpwxqQozJ6eE2bWvd6NrYDht0qqpDGdtk+F0n+n0MbstSlVFKEPDkv2bObk6ebzviNAo1PYunTMZ81prccqcYzLbrXLyqr0G4H8NgFM6r/x2PcBukZEN55/NugUvK40ir4U4KsNc88XB5srNZ6tb+C0b8Ld2wU9Zr33zvIJy17laR5Qlr17gMbPXlS1y0Wyy6Z9rudnqAUFtOgqpJ5TahtwH8qVBXO5QeJiILgvcqjKBk5WGXVtY1t6MydWVGflb6qJJbt4PZ+vKvfpop/yytyPkoYl42ZdnvnfXDezlqTy4atnt1mcdz+01FtnoN15tOHthq3b1ZywSSv5KV/uUbvVOaGuIZpQv85yrWIms++KZWDavKSNdNEza+uU1XTavSav52LGsvbkoGlXQvHKM1TEK28ZGi2z1ACf+/ronis/rl9qGPI/wmiA6iOhGIvohEZ1NAp8D8CaAvytoywoIlYOtCAlOeHRsHJstjlfGfFdXhHF4dCwjf0NVBRZMEeZbkrOVeTbsPIQaGTtucbZ27nV4jDM0ACd/nKff6MFIYlz7ZTTOQiCVmoh9/YTaz0rLvrwyQhhJZL73Y2Fu565VHlxadleGKdlndfKQfLO63sNNw7FfLzX+302/kRy9fdwBMe6yDc21UeiencNhwug4p/WJCDard0ZVRVi7MnmcgabaaFI3AgHTJlVnpItWhLX1y2s6bVJ1huajw9Z9/T7SeK/ZeGJbd5pG4md9har3DMv1MaPjaWOsjlHCGhtXrSQXPUC1CJfpapr1x3X5s9EvfPUhD+sWSmD1DXhPEHcCaAfwIoCrAfwJwMcAfJiZP1zQlhUYkled0ig+vGu3dSf5Vxnzvfb11IcGAKoqQggT0HdEWAOonK3Mc2BoBOt3iDj3D8xvAZDJvdrj1538cVTtQGojIQJmTa5Ga100yf+6rZ+Q52RbOvvi2vd+LcydbLprLJ3mrAVtiFgzQ2U4pOWb/Wg4dqjx/276jVz7EAkBMyZVYemcyan1EC21aW2YMUk8PakPaEPDibT+1VSGwSyuoWpJ3tknJrNYJISqCvGnXhP7WgJ1ooqEgPjYeJLPB8REZr+mUvNprY+ipjKcfOKIRkKYNbkKYYKvdRBeazZWrtmGg0MpuwsnzUaXT+o99dYYS31FHWOnNTeOyEYPsFuEq9bfuuM6ZKtf+OlDPtYtFNnqG/DWIF5k5sXW6zDEwrmZzDxQ8Jb5QC5WG9nEuZcT/K6fAPzpEIX2ltKtEcjn2pAg17MQ+kC+ygziieSV121Mdn7L3ZvLrdxcrnnekQ/toZz0iyIhXxpE8mcFMycA7PA7ORDRz4moi4heUo59g4i2ENFmIvoTEU1Vzt1IRNuJ6DUiOsdPHblAF+cuoaNzAPFBOaamEj+45ERMrqlMfgHrYsPb6mMZXP7Dnz8tzc5bcv72cMrKMNK0AZVPl3bZD15/apKOevD6U9PaI9v54GdOzeCIK8OCBlJ1jTPnNaWV5wd2229Zvh1T6mN4+IbTkiGlF/34STyxrRsLv/oo/qapBmfMa0r+Mq4ME85Z2Iq5LbVYvnIdLvzRk4qteGqMVLtw2Y67rlqacT2nNMSwbF5ThkY0t6U2WbZOH6gIE35w6YmZaxfam1FVEUJ9LJIcP7t9ud2yPRoJoa0hlqY3EIB3z5mMSdUVyXLk2ohwiLD8B+sybOBVLYog7y93zcBtbYss164TqKgMU4ZNuLzfJlVXaDUUex2BkE0IpxM3f20A7SEfZeSjL4UoI0d4TRDvIKJ+628AwAnyNRF5kZ93ADjXduy/mPkEZj4RwEMAvgoARLQAwMUAFlp5fmw9sRQMC6Y2oLpSX4XKn0tI++0DQyNYuWY7Dg6NuMaG18UiWutr1c5bcv6j45z2YRsdF+st5K80ldOXdtmrnu1IUhirnu1ItgdItXPVMx0ZusFIQugB6i/AjR29aeX5gc72WyemD42MYcGUhmRI6aaOXlx/9/MYGkng1c4BbOroTXLxIwnGm91DeGlfP17a14/Nu3uV8lODrNqFy3Y8+lJnxvWsjUYwbVJ1hlW2WrZOHxhNMJ5942CGVvL8rkM4MjqO/viYo3253bJd+kCptwgD6BkcwaHDo+nld/Ti8EgCL+3tz7CBV63VGcDhkbGkduS0DkJ3j1dVhpP6WUt9LEMnUKGuU1Aps1XPduDQ4VEwoBXS1ToCIRsqx4mbn7I4i61DcygjH30pRBk5wpViyrlwotkAHmLmRZpzN0LQVf9ovQYz32ydewzACmZ+2q38XN1cl960Gl0D+kdLIouzHhjGocMaO2IbqipCeN98ceNs2dOL4bFxnL2wzbfdciERIoBASAS41k6UkxO9IG2+P7hyXca5YuOHl5yElX/Zht7DozhpZqMvK3An6BZMFhNeNGFFmPCJv53paEu+9KbVaKyuwOffNzc5Js99+azk+Wvv3ICt+/oxkhjHW/257eamjrtahydyDeG89zKgthVYciWw4XbBzV98t/PxQpWRj77kqwwP5MXuOw+NmA3bBEFENwH4JIA+AGcyczcR/RDAM8x8l5XmNgCPMPP9mjKvAXANAMycOfNdu3btyqmNfiyUU1bJnWkf1GiEcO6iKTlZNetsvs+YJzbykyK53VpbfOGLqJAwiV+UTvstSCtnuz2zE7xsm/1YiqfbghMmVUfRNRDP+ou2pa4SPYMjyfwhAk6f24RoRTg5Rn7ana3Vec/AMP7hF+vR2Zf+oZWTh5dl+8ffNR1f+s2L2Nt7JKNdsYoQTvmbydi6vx9dAyNp586c14Rvf/wdAANfsdouxyBstf0/LlyUNwtz3bVdNq8Z4xAmjvHR8YwJUx3DrNvhZX09kZCPvhRhPMrW7puZv8zMMwDcDeCz1mEdnan9OmHmnzDzEmZe0tyc+46ofiyyU1bJ41qrALsVhs4Gw8nyuqk2mgwxlGGqG3cdwoadB5Ohq8Nj49jbewTDY4xICMnwSzXU1A65m9wT23rQMzCcUb8O9v47WVvYbTvcQmFHEoy6WCSnX+H98bEMG4fpk6rTLCDcbNjl+NdEI65W52q7Zahnz8Aw/v3Bl3BoKPMpUrW6iIQIK/6wNeMaR0KE7/7pdfRoondkmumTqtFQlbneZsveflzzy43oGRzGpo5DGSGj63cechwzNyt7+z2q2nurdimS9qqtTI2Ljk597s2DOPM7f80Io9XdP452KTIUNRwVX4qJUeBXlwH/ezrws7P8bbkZhLPXpc0H5+8VjuqnjhKFtOpQyv0gVgH4qPV6DwB1w9bpAPYVqyFuFtn2NDqrALsVhpMNhs7yWg0xlBbOPYMjSStlGboqEasQnLK0WZChmBIhgrBytsJiDwyNJMNn1frlRHfacU2oqQyjqiKU0X+dtYXdtsMrFFaGztbauHB1kpJtIav9rXVREcprhXfGR8e1FuVutiTa8d9x0DXsUi1PhiLLayq+7IH3HteE2mj6NVBDde3X+LkdB7HJyi97TEDGePcdGYV93j4wNJLcOrV7YAS1leE0+40DQyOOmpGblb2bJbfdLqVrYDitTzMmVSWv18zJ1aipDOPQkdE0qxKnNjgdSwtFbbdoze2rgT3rgc4XxH8/W24G4ex1afPF+buFo/qtowQhrToUlWIiornMvM16/TkAZzDzx4hoIcSEsRTAVABrAMy1IqccUYwd5dyQbUhjPm0w8oVsbSsKYReSzZaW+WpzsS07goSbuqGY1h75guN2o37htT1nriGt+QxnLaKVtx+UnGIionsAPA2gnYj2ENFVAL5FRC8R0RYAZwO4AQCY+WUA9wHYCuBRAJ/xmhzKAW5WGF7W4F4hhl6oDIvwynfPmZxxLhohbbnRSKYViF/bcZ0ViV+7kDM0oaQSqp2Fm02IV335arPbNQ2RCJ1Vw5edxlOGNDvZZdjDTXXhtn4Q0oTZutmrpOUFMKUhmjznZJ3iZAeuu8emNMRw11VLfV2Lm+bei/j8j6TCSCkM168kGdhoDzcNYkOhSzt/OTD/gsLaWJShlbcfFGyCYOZLmHkKM1cw83Rmvo2ZP8rMi6xQ1wuYea+S/iZmPpaZ25n5kUK1ywlOnK3Te0CvTUgkLMuE2spImkXEaGIc7//OWrzeNYDNHb1Zc/MjCcGfz1HcMiWiEb0NhM6+2W6rkGafMDYOImG9YOei1Xx2a3N1nFrqY5iuCSUFUrYcCc7UP3TakL2+rfv6kttyqttjyvRNtdEMa3a7hYS0oXhiW3fGNpt2jLMInVXDlzd19CatVewhzTqLdImeoWFhyWGNkS7cVoXTB1XVUWRZdg1I2Kdk3qPjAGqjFclwWalnqddFtWpP2qQodiZ21EYjmNdal7FNb000krSykePENa2IVVYKzSEcFVtqYjw1Edght9y0W4EH4ezVtFLviNYJS45Ccf7JLUTDZaErBEF4xYoVpW5D1vjJT36y4pprrslLWTc//AoefbkTR4YTeN/xrZ7vJe7bsBunzGlCdTSM3sMjmFRTiWXzWhAfTaAmGsELu3vRHx/DOYum4OS/OQaPvtSJwZEEVm99CwcPj6KmMowpDcIaOUxA1Ip8mddahz2HDmOcxX4KVRUhjCmfyLkttYhWhHB4JIG9vUcQqxBfBpGQ+GDHIiGMJtiycmCMc3qeU+Y04aYLF+O5HQex+9ARHBlJ7+dgfAytdTEcGBpBQyyCg4dHMTg8hgveMS0j37M7DibHRn0tx+m+Dbuxr/cIpjVW4YRpDdh76DBiFSG8//g2bOsaRE1lGL/5x/eAiNA9OIwL3jE1bWxvunAx1u84iA5bfc/tOIiX9/ejsz+OIyMJ9AwOJ9PLstS+qmXItl3602exvz+O1a+8hR0HhnBkWJQTIsLBoRFEQoTmumjymg6NJHDRSdPTyhuMp8ZF7cN9G3ZjZGwc753bjI6Dh0FgLJpWL8oZTqS1Qx2jSIhwZFQ8QFdVhBCrCKGxphJDwwmECWipj6KpphKxijAmV1eiJhpJjpl93IgIW/f146KTpmvvUbU/j7/ejYaqCrz72CZs6xpMBkTMa6lFZUUo2afugeGkJgMILeKEaQ04MDiMcRZazrM7hJYh7/untvdgf18cc1tqcceVS1Pj1PkjsZ3o8ReI7T9jjUDbYuDwAQAENM4EKqqA8QRQPw345O+AXU8BvTuB0cPAPGtN7aY7gdmnAcu/L94PvgUs+ii0kGkbpgHdrwLDA0C01n/+oPjzV0VE0nC/KLMQdQTE17/+9f0rVqz4iVe6gmoQhUY+NIhcdIRCWnVna7fgt3ygOBpIkL7ko9+FGrt8bA2bT9vyQmzdmss4BdVSHPUHN04+Xzx+sfSAMtMdVJRcg5goyORs0y2v7RxutluMRiMhVFVkPjqrNhpuZfvdJtLefr8cvy6f/ebQaRhevHWQvvhJq9ZnH8dzHKyktVt+tjejrT4zbr8iBM/rna09dja25cXcutVJf5E26To7E7uWYtddnGxnBq/bGJyTzxePXyw9YILqDiqO+glCtZKusPjSSou7lRzugaHhNFuDkTGhI0jeWtUpnDjxkYQo3w5po1Fp8fqRECXXIFz0oyexfOU6nL9yHa69a2Myxp4gdIEntvegqS6asvSW7Q8ThseEfYdfjn8kMY7KsGUBLi27lXaGLNuI2mgEz3ccyrD8ltbmCeu1ju9Xx1zWrXLcujUM6vWRiwN1VijC2iLdNlyN71fHSFq59x5JX5gGAGOMJGfvtC5Ep3fotlO127c79VvN99l7NmEwPprk770s2PMBe7+c1vvMa63DgaH0X8TSVsNtrYlqOxMfFWtzrn5gDw6HqoNx8tmsD9CtO8hlnUHQtRK5Wo2XGEf9BAGkrKSnNIgPXWffkVQ8vLV1phr3//jr3RgYHsP1dz+fEWu+aXcvNu/uTdo8qzHx8bHxpPW0HHhpIy3tt5+zuFtZ1kv7+pPbWa7feRBzm2uTKwgPDI6k1SPXTOzvjye327TbVDvF/V928ix09ouVvmctaEtbWwEIIVTG9avrIJh7RBUAACAASURBVKTlt2w/kB5D7xSn3zM4LPqibEfqtKWovD6s9OeUOcegpjKM1rpocm3A2te7tbH/ujGSK7AbqiJ4x/QGNFRFMKm6wtXyXFeeblyd7Nud+m3P9/jrPQDEL28/Fuy5Qtcvp/U+cuICgIZYJM36Xq41kffOzMnVya1H1fUlcn3Hjl07gsf6B10f4LTuINt1BkHXWuRqNV5iHNUaRDG3gyx1fHqpY//zvT1ovnWUXLc8dUuXDxTCOrtY/fK6VoXQU/LO/+djrUWuafMIo0H4gBvn+u5jJyNMlPy1JO2Y2xqi2rJa6qJpfiGSE5c22jrbaomKMEH+YHfbzlKHEIBl85ocdQEZg378lHpHywPJHZNCK2TUo+GSz1nYikVT63HGvCat5blMZ7eMtluE23l2aaGt27YSEB5Fqo5iv36VYcrQkSZVVWBZe3PG+KvW6Crs42NfW6DL48Xh2/UiADj12GOSx3VrFaY3VuGuq5dqLVy8YA/hted1Wjtiv1fcxtm+vsFN81o2L90ax003yplyuWGLWN9AVpv98P9qnfb6c11rETTt1WvS6y8RBXVUTxBuHksv7+1HgjmN+50+qRp10QptWfHRRJp5lIxPlzba0rZ6JMGpvR2stKMJxkgitZ1lXbTC9/qIcWT6EqnbYw6PjeON7iG8sEdv/7Fy9bakRbV8mHTaStNuYf5m9xBe3t+Pfb2ZRnzjGt3DySJc5dlVC23dtpUAsKc3nqGjSIQIGB1nG2/POHRkFHsPHUkbf9XCfdUzHWl12McnXXNgbR71flKnId12qxLrdx5MHrfnAwTH/+iLnVoLFy/IneTsVKi9vaqWortXnNb7jCQ4Y62Jm+ZlNyu0r+FIQ66US10b0LMdYGtdhR+dQa3TXn+2ay2yTbvh9vT6S0RBHdUUEyDsjpvrYnijewAHBkfw+luDjmnPWdiKTR29aKyucE3nhjARxpn1ToTW+WNqxeY/uw9lun9KzJpcjfhYApXhEBZMrQcANNfFcOnSmbj2TjEmnf3xrCyu0+upQnxMCtjCwjyIdbb8MtZNOmEi/OFzp2HVcx2465ldjvmDLiYMkdj7+MDgiNbinODgBOlRppNlukqRzLnxj47miW/efL7rLm9h8m/J7kbLeO2up+aV97/TNZVpr71zA/6suMmqCBFw6cmz0u69Wy9fglXPdaB7II6/vtbtSC/JcUmikHbZFAK+pjE49GO/EYkCx30gd/twr7S3ni4mNS/kSEGVhd13oVEIL6at+/rw6V9uTPu1M72xCj+54l1pm6DYrZFV222dTbJqH+3XvtmPFbkb/Ng3RyOESTWV6OofTrPTdrNw9lOuvb9+LdV1aZzyO9lrO1mP51pmrv1oqYvhiW3d+PQvNyYXwgFAVUUYP73iXZjXUmezSg9hUk0l3uqLJyc0PzbfunsYEPYs5y2eqr1/gtjeB70fu/rj/u3KS2GXbU8vV3JzovjW4xltjwE1LcBgF5CI5609RoPwCbtNxIo/bM3YArQiHMKK329Ns5KwhzraaR27NYU9PFFn39xUG80I9ZTW2jIM9ontPdp+SL5ZtVzWUQhNtdE0+w8dpWV/9NfZZ3jZWqhWHGp6GWYaIcr4UknaMyhW2Z9dtSk9TNUqezQxnmavrStXDZEFkEF56EJVVRrILTRYF6bqNDZqmtPmNiNs+9RVhAmnHdesDT2uioTSnnYSDDzf0YuegeFkKO35K9dh4dcexdb9fal7WKN1jY7DMUTWqd09A8NCx9jerbWsdwpltpdtpwrl/Z7RFj/0jB8+3m94qa5OTli2HyTKyKb+bGFvy9gwMNSdbg0SihTNouOonyBUrlm+7uyPY15rLX54yUmY11qLzv4jGWnsoY4y3FOGxtptku3hkt0DwsYBAGZaee2hnqq1tgwjlaGtdki+2W65rAvHlGGjZy1oS4ZRutlg68JPdeXq7LJlHnuY6XNWG9Q6DgyJdQkfmN+SZqGtjrUch7WvdafZazuVu155bw8rdQpVdQthdQtT9SpX4vBI6umhMkyIK/SLPe/+fjEpz5xcjfMXT0FNZThpQy5DaV/e15+0207ew33iHj5hej0aqiKYbIXwuoXI6tqd1DHuej7DztwrlNledjL8VbnftfAKQfVj++03vFRXZ+MsoNLyOGtuD15/rlDb0twuJgXVCn3XU4WpV4OjlmLKV0hiEAuGfIdByl9xTrCHRga1iMjGUqLU4bx+kG1YZbYWG175dWUU4v4MAi8dI0hduY5bEl76RKG3+wSKF5LqVxfJsl5DMXnAzcLBycZClyaIBUMqXDAz1NLVwsLW9jAB51rhgQ9//jRX+wO3Pmdjoe3XLtvLEsTNFjsVUptKK8fHK6TVq1zHsEofyNZiQ81vD9tVr6VbXTIU2E5/OiFXSw7dfSXbEdRGPddxS8IrfDQf1hZuZRTTOsNeF4Wd7c4LiKN2grBzrqrVseRfm2qjaby4XWfwwz9LHl3VFEYSnBx4aWHRXBtFjaUNqJYS0UgI9t9eCQZqohF8dtUmNNVFM740GJzUTJz67KQFqHqDn+1Y/eZRuX3VVkRni50KqU2VIW3KdSHJB4aGkxYhsk9O5dY6cPCOW2G63DNBbS/cuHhVe9JtUSusUCjt3nGC3bbFDU79XjC1AdWVmd5hIwm9jbrOasSuWcl7Oz6apV2Ilz6Rj606MzQAy1p8sMuy7I4EL99tfYVTOiddpMhW4UftBAGkc66SH5W8vNQDVF5c1Rm8tia1b0Vp1xSa68Ujq7SwULUB1VJC6htVFaE0jUAtt9PiqausX9f7euPauHe1fW5agJrXz3asfvPYdQRpK9IzOJyhgejsJXQ2EHNbLCuUltqMPqm8t9zyVNbp1Qcn+BkPr/w6vUenhdk1LKlHNNdHMa+1FpOqKxAOCUvw9x7XhDCJX+f28XWDW7/7joxiXmstjqkR+2VXhkmrNzlZjWRYjFj2L3Nb9NqNL3jpE/nYqtOuAQx2Ag9cLXSHjqeCl++2vsIpnb0djbPEX5G3ID1qNQiJfNhJ56Ncv/Vlu4VntjYX+bCgyDa9G/Jh/+CmCxXE/kGDfNrC58NGPRdb80J9lkoCLw3AD//vV0cAim63YTQIH+jqj2PBlPoMPnVZezMaYpE0rjjkwBU7PaJL+wp11a6TLfY5C1uxzGZX4ZebVu3C7agMw7dO4qQRPHj9qUmbB7s7qZdVgz30VserT6quwHEttYEsJGRZZyv2IDp7kbMXtmr1Hp0uJNskbT5ysdN222HPnu74KfWuNilu18br3ghiox4isUWuvHa6ttnLs/ct6L3la4wHOoGfvh/42VnOYaVBw079pJcaQMhmrROJZfL/TuVdtRqobgLCFpWm6gggsc2pqm3IdGFNHSXCUT1BrFyzDZv39GJH91Aan7r30BH0xccy1gbo4radHtGlfYWwobZpCjY7gubaKKZNqvYVJ27nwaVduG6O0MW9B43/X/VsR9Lmwe5O6mXVYA+91aU/dHgUL+/rD2QhIcvaYdmDhGzjq67LsFtrjCTS+W+1TarNRy522jq6SNe/lWu24YU9vXhTuf90Opfb2gz7mPjVSNS0YWu1+vO7DiWvna5t9vLsfctmbYkn1t4C7N0A7FnvHtYaJOzUT3qpAYwrv+wpDCRGMvl/p/I23gEc7rEWuCk6AoUBMHBgmygnqTdYPyISmrUXJcJRSTHl47He7fEbcHaufPjz79XaEQDA1n39OGF6IwBgy55eLJhaj1svz3wKlPYI0trAyZIjTISzFrRklKHml/XfevmStOMX/OAJT9uHaEQ8bblZNdhxzsJWR8sGWaYX7eB2/R7+/HvTxrS5LoY3uwfRMziMY2orcWxzXbK/Ek72GEEpED/3ldv9URGm5CZG6r1hvzbqcTv8pgOc+61DRZjwib+d6Wqdod4PbveWV7sAuNMz2Ya15sNllUJA+weFbYYfCikXlAHFdFROEE6WAXabBbt9Rq42Dn4tMvLVn1zq09kjSEQjIZy7yN2GwQ7VrqSrP47/a5Ut5xQve49C9jdf5dnLEf5N1h7hJbw/vNr72EudGYaHunbnywLGFwY6gYf+FXj9EWtVM8Qv7/YPAud/V/y6ztVSwy29n7ROaU69AXjyf/wff88NwBOa4wW09zAahAucHoWbaqNJawunx30dNSHPjybETnM9Q8Oej9Q6btqJr/Y63jM4jGfeOJAMx/Ub4ug1RjonVTtN47Rrmx1+dh7bpFhIFDLc1LE8ackRIAzTLcTXTiWq1iPSAkQNqwYjw9bbaXe6bKFrrz102MmRNWO8fI6/nxDiDNS1AbUtqckBEK9rWwCw4PxBmWGtoQhw76V6zcIrDNYpzDRcKb64E2OZX9g6S48pi/X1yONjcaTZeLQ5pC8DiumonCAAfbiiGoZqt8/QhTTay1j7WneSc/cKh9Rx0058tdfxG+7djK4BEUYYJMTRzxjJkMzW+ihqKsNYOmey5y5rMtw0EkLSrkS385ga7mm3kCh0uKmuvHprt7/6WMR3eW4hvjr7FZnObnci7z+7rbfb7nTZwKm9auhwNuHcbuPlN4Q4A0NdIrRz4UXAggvF68G30jl/e1jrrqfcNQu3MFinMNP6qeL99j+nl+Vm6eFUz1CXSA+k23jkIzy3ADgqKSY7cg11dLMl8Gt3USgUKpQwSD9y2f2tGKGQQa6fRKl3mcuXPlLI8c17ndnYYMjzblx+vrSEbOsp8O5xOhiKKQBytQLI1e7CbrPhx55CZ9mhhrzmarXgBacQVycLBq8QSKdd2ArVfhVBrp+E33tGtxudsAZJHzf7rnwhAtoaYrAvZraH6fpF3uwuSlmnlw1G+3IljBTitQwlzabcy38LNMxIT9s4E7j8d9lZbhTTqiNPMBMEcue0dbYEknP3U5e0kdBpIlJbUC0KUjuQpYdwypBXaTnx8Iv70ZPnDe7d+uFmweAVAmnnwYfHOE1HyZWLd1ubEOT6ufU/TMJWRW1jmr2JtRtdZYTSbESaaqOYbgtzHmeh6YyOIyNM127fouubfZzyrdvoxtXPGOVUp5uG4KZZOAnWTrYWstxjzwQqqtPzhSqBx7+dneWGrGfMijocO1I2WoMTzARhIVdOW9oS2Dl3v3U5aSJdAyluXLUokOlPmXMM5rXWYumcyWl2IfWxCEYTnGH/nU/47YdbevW45MGbawVloOoouXLxXmsTglw/p/5Iewx7G+0WI519ce24OdmNqNfYbt/i1DfdOOVbt7HX7WeMcq7Tjat30ix0cLO1UMuN9wHN84GP3S7+9+/N3nJD1hMToeyINZaN1uAEo0GUIbx462x5bic+vVyQq41ItmXmysNnqzMUYp1FvurKti1lbZ8BZK8D5EM/WOH8RIoVfc7nCoCSaxBE9HMi6iKil5Rj/0VErxLRFiJ6kIgalXM3EtF2InqNiM4pVLsmAtxswf3w3HZ48enlAjd9JluNwo+te648fOp66duYk9WES1+kBbi8T3S2K4XSckqhaeQF2eoA+dAPrl2n1zSue9J/GUVGISmmOwCcazv2ZwCLmPkEAK8DuBEAiGgBgIsBLLTy/JiIMr2G84gg6xDc8nm9zwap+HR3mwh7esn12lERCSXXIHhx1UHht79+1ng46TMhy/ZaIgRYW6V689lOtu5B1qd49Utac6s6CiB0FJ3VhLodaxDotiStrgxjJMFptivpVvKpccrHvWlf96LqY05rb+yeXF39cSxfuQ7Hf/URnL9ynXd7dF5HTv5HA51iDcTP3q/3WsrWEryuDQiFhW4QjqbyyTUZfnygppyQqWlUVANti7zzlggFmyCY+XEAB23H/sTMY9bbZwBMt15/GMC9zDzMzDsAbAewtFBtA4KtQ3DL5/U+W+g0BjcOV+V6qypCqKkM473HHgMA6Ow7ktG2fMXX++2v3zUeOs768de7AaQMDpvro4H4bKe1CX7Xp/jpl7TmXjpnMhqqnDUj3XasQWAfH9UWXWpQ0g78lDnHOK5ZyRb2dS9zW2qTe2Y7rb2xe3KtXLMNL+3rx5GRcX8+XDqvIyf/o7W3iDUQezY4ey1lu+ag42nxv/28VL6gPlB2TeNIr798JUJBNQgimg3gIWbOmCKJ6A8AfsXMdxHRDwE8w8x3WeduA/AIM9/vVn42GkTQ+P1sbbJ1ZRQLxeCqC7UOQM3vte1lPse2kNbWhbYWz3ar2yD1ZtPfoNuWZrSnWOsTvBCkHSVY05ANSq5BuIGIvgxgDMDd8pAmmXbmIqJriGgDEW3o7u4OXHfQ+P2u/jgu+tGTOK6lFsvmNScpHzv/G40QpjREk/bTdutrJ7hRL3bbBb948PpTcUxNZVrb1Nj7sANXfc7CViyYWp9BQensH7ysoCVysYC+66qlWtsOnY15rtCtVzimphIPfubUZJ/t1taqnXs0EkKYgHcfe0xynJ2sxdXrErQfuvvF71a3dm1HXms/0N1TUxqiGWs3VKt03foSHQUKAMvmNWWOg90uO1IFzF8u1jZEpDV2FKhpEmsT5mvWQRx3FtB2gn8rcB3s+kM4JiKQYo3pFt3VTcDVf8nMH9SOvIxQ9AmCiK4AsBzAZZx6fNkDQFVvpgPYp8vPzD9h5iXMvKS5uTlw/UHj91eu2YZNu3vx8r5+PN9xKGnfbed/RxKMoeEE2Dpvt752ghv1Yrdd8ItVz3bgwNAIhsdSbRNtTefhJSRX/Wb3EDbv7s2goHT2D15W0G7j7dcC+tGXOjGicYjV2Zjnisx2Mg4MjWDVMx3JPtutrVU79+GxcSQYeHlvX/KXtrN/F1vn/ekoKnT3i9d6A9159Vr7ge6eqo1WZKzdaFYs6nXrS5wmiOmTqjPHwW6XnRgGaluBmmbLzwji2FAP8MrvgRrNOoi+PcDejf4pIB0ydIs4EO8Vf8m2xUVbN/w8M39QGqqMUFSKiYjOBfA9AGcwc7eSbiGAVRC6w1QAawDMZVavdiayDXPVWQ8DSDu26tldvqyQ//6UWb6trnOlrLIN6QwT4ZjaSpy9sM13W4NAtYIOYkHtdNxrbJxszHPFtXduwOqtXZ4250GRD6rHK6+XnbY873T9g1Jp8p6KRkKuFvVLb1qNxuoKfP59c7HyL9uw88Bh8dTBwKTqCvRa601On9ecyudotW3to8Aen5sFFwJbfw9k7OaO7Cmgey8DXnskfQJyQ4l2ivOLktt9E9E9AJYBaALwFoCvQUQtRQHIEI5nmPk6K/2XAfwDBPX0T8z8iFcdhVwHobOklohGCOcumuJo/R2NEJpqY+gZHMbwmN4O2c1y/L/XbEuz2Q5bVtj/4WGF7ceGWZfmjHniSWzt690ZNucqQgS01sdwcGgYw2NcMJvqlA31/uSvbTHumTbj+UbmtQyhqTaKnsF4ss/28XJCEIv4YlmcBy2nKNbedrhZbYPFuVf+kNpgBxC/4o+/IGWRHdQK3G+7MizIQ0DdFGDogPU0oWlrEW28/aLkGgQzX8LMU5i5gpmnM/NtzHwcM89g5hOtv+uU9Dcx87HM3O5ncsgXnLj+lvoYmmqjGZODPXRQplWtrofHGJXhdDsFJ8tkNUxwZGwcn7j1GURC5Gt3OR0frdqV+7VqDhHhL692Je2nJQVl1ynGGYhZ9ILdwjqf0IX5ApmUDZAZQuk0Lk7wGkM7lRgfHcemjl7UuIQVA/ow2p7BYTyyZT+G///2zjw6jurKw9/tbqklS5YXJBsDtlm8cGxIwIAJW4CwZicMJIQ1CUxgEmaSIQkxQ5LxzISTIftkhZBxIJglZHGAkExYTmxDAC+ADbbB2MYLBi+yjXdLsqQ3f7yq1uvSq+qqVi8Cve8cHbWqq967/apUr+ve+353f3LpiSg3UtwSp8F2RHrGFEXecf64zlu9NZbNtvMQ5KkVrRxx0yP8afEb0eenkKRGdjB0d/TEG2yV3nKyFgFpbfPGnDQ2YJXz6IZazx5Tcvx3n8IqR16MtEYVYxgDXmojytcflLtuzKZ7pQ6a+5pS1xt39pZTCOKnCYJOiZz7qpYLn7O8lUbDd9tQm7Yeb0uxNeXK40o1z321lf1diqa6TM7+hlr9WRuzaUY2ZRkzXOdvbzA+V1DCupSYab62tFGfYAqlbVyiiDOGZiqpn6K6YPW2XmnFp47TacVpwTr+X7h/Efu79TgXIz0RJlsRt8Sp2c74lkaUgvEtjTlZF/M4f1xveGBxLJtt5yHI5+55ni4F//rA4sLnp5CkxnGfhrGn6FTRsafY01XDpLV9iokN2OQ82rb3lhwPkyMvRlqjijGMASu1EeXnLibtsJxpksG24h5b6HMkTUPsa39JiRrTYlNnC7UddmwxJWbjpHv2Rf6kGBmRUsiPmzbH+WyVTFfOUYw0eLnSYYttt4zy4FV3MfV3nrzxTM410hRBf/M730jTS9peEumBQvIYJkG7CkkuxJU9sKUh+kSlo0alBZeSqDG12T6qqY4zJrbEsivpGEbZUujcFyMnXsz4xJERKSQ/ns2kqK+xixjYbI7z2WZePdXaZk2q9OnKOQpJg5dDdrvU7fYDefABO0HYSmp2KWjIZvKklE2iZDXiSBsH98+VnQzxYwftCktb7OjKj33EjQ3Y0hAhv0Rm8+BsaFpwnsyCFFfiNEryxCxjGhxTm+2NdRkOHlpfMPU2J4+RktxnaO/MjzUExzDq/BY6982NWbbuyf8mWJNJMf2hZUVJnYSNjx87qk2QdtzR1XPN+HGzGsvaE7BLoEdJpft2TjhwsLXNyHRl0+8e9MHH8clHxSDyyolmdQA5lelbfMLsM27MoVAfNjtfmx3fnhIwYCcIwCqxHJRSNikkq5G0zKhfdvKcI0dQV5OiMdsjjwHwwaNHMWaY/vYQlDEI9rVhp77BnD3pwESxAVPmujGbpq4m1Su+ECbrnSezsKa4EqeFJE+ixtQm0R1HXtose2rGgPJiDZYxLEbK3O+vbX83Q+oyOVs37thXtNRJ2Pj4UhvnHDkitixL8Nq57MSxtHV2M2FkI011GWrTQlNdJlICfce+/QypzyDAkPpMr/KyP3p8BW2d3QypzzBhRGPupmOLKeUw/e5BH3xcn3xUDMKPDUz0XFtrnw7vPwlJYg5x+gjauae1orGIARuDCFKMj9m2b6niDXH7KLWcdZxYSiniN8VKnvSFSstll3qtS19kS5K0Vy4JjjDy+itGXsPmky/kv0/aTynXLiSJLUTZ2QebXAwiIUl8zEl9/nHLTpp+fds+cXzKfZWzjhNL8WUmTK9BUGahmH7KHdsI9pmSHgHAJBIgxfaXL18eT8q9UHt9sbkUkt1JzmMsO4N+d0n3pLNm6mDImHzpjTCffCH/fdj71z5Vfr9/kthCX0qplgA3QXgk8TEHc+ML5bPb/L6+9AVoH35DbSZP7iMojxHXpxyUs/bLYMb1cdvWZ/i+eN+nvGV3O8+veytvjUhQZiFJPr5N8sQvm9rZ1Z3Ifh9fQ+uCn/asbwn22a10fMeU4A7GXNr2d/PUii185lcL8tqK6tcaZ/L8/A21GZ5f95ZVyr1Q3Mh2buLKidviZ9ff9wKdnd25OFjUdRx2Pq3ralLC317e3GvtRHNjNrfGpNazs5dE+O7NsOyP3sKyOr3mQHV5Pvg27XKJ4+MvFA8Ie3/U0aWLI4S9FxYDQfWWKk9aSrXEuAnCIImP2fRXx8lntx0/vqUx9/78NduK7iNKztqXok7i4zbXZwypy+R88aY+U+uuDhpq03nxm6DfPU4+fljJUn89xuzlrUWXGH3h9e299IbCxsqU4A5Kc2/d08GSN3fG0i4KizP5/v0Fa7bl1lmYUu5x40bBtTNx5cTD4mdzPCn1QnGLqPMZPI9zlrda106Ya0z88qu9JML/8I/QvV8L4V3zuF5nMHRsjw++s03HE+L4+AvFA8LeL1UcIeo9WwwkTKo8SSnVEuNiEFWg1GswkvRRihKdUW321a+dtNxqkuP7sh6iUFuljDPZ2o/qI+n6mCT9JjmffVlXszp7aU4JOTbV1DTq6zqLuDGQMn1GF4MoE1Guk7jV5YpZg5G0GljQNywCTfUZxo9sjJRk8GWdgzLbQu+Lxfebz/rcybm2kvi1o6Srg/0nKTGaJD4S5dc/d/JIqw79mRZpav+c+vvXpsmLIQlwYFNdXtzq/MkjmXxQb9n0MJn4OLLeQQnyYYNqOH1Cc2hsyydsfJOczz//y6kcOCSbt21UUx0zr56aZ5d53fvtbbviCXs5zot+pZ8mTJL44JOkq8bdd9dGLSE+8cPx1llIqre9tn2CjDun55gqyW24CSIhUY/acavLha3BsOktxenXhukbTgsoBTv3dbLkjZ2Rkgy+rHNHl8rdZFO+eB9YS6DeO29drq0460GiPpOpw2SSpMRoUEMrGB8JG6egHHlLY9ZalGT99jZrLGh1657c/h1d5GJI/vjt7ejMi1utat3Dsg07e8mmh8nEx5H1DkqQv7V3P29ub7PGtszzGza+Sc7npIOGsLc9X+10T0cnp45vybPLv+5ThhbUAeOOt5fjXPOUlrIwSeKDT5KuGnffOd/WEuJbV0TrRXW168lMdet9TXuDMRCbQu2O13uOqZLchnMxxaTUabDX3r2QZW/ujJRKLtRvIZfN4Tc9EkuyPApBF8F5fdteAEYPH8SW3e0c0FjLvNe2WdtPCVx64thQ6eliJTRSAq99q7A0RdyxNfcPSmXPXt4aO3241O6lsH7CbI0jkQ49suyPLt3IuZMPZFXrLrbu7qC5McvhLY2J5dpN+jIGufP63YlQPxRO/yr87tPRBx35IbjknvD3S5FKGtw3bL90LRx7hY4L+Db9xzD7Td9s8/7LdH2L4z+tX29fG/554nyOBFRd7rsSVHKCiJI9RpFY7rsU/caRiP76g0t4bOmmXsr4Ke+bnCkzftvc1xL1U6xtUcdt2dXOZ+5awMYd+f+IZ05o5taL310+iWmLjUnk3oP7mxLElAAAE0ZJREFUpgROH99MTU2auZ4seKGxLuYcmPaaY5oSPbl3Gee4EjLpNol2Uy49tl1Wae00TPwAfPB7hZ8eksh9x923HG0WOmbcWYDAysdLKhnuYhAxiCNR7JMn6R1I0YuSL/BlHIqtgBaU5EiSiui7W2zf6/xv/mGpknFsTmJb8DhbXyiY/vAyq27PwcMG9ZKkLidJ5d5tbq2Dhw3KS10OS6U13Vph4+JL0odJcwRTas0U3qBsSNxYWTEy4rb0XTMl3LfLlBofMbiut4+9r+mdYWmsYamkqbS+AaezvVNbfduSyHcnld0IO8avoOdv62yD1XMLf/4SMaAniDgSxSZ+Op8tRS+Y6rfRky9Q9EgqF4spyZE0FdGXExnZlGXs8EGMHJylriZFxvsvbqrLWFMl40pRx7UtiK0v3/6NO9poqE1z2rhmxg4fRH1NyipJXW6Syr0HZVvMtN2oVFqzvbBx8SXpo6Q5zJTavBTeQApt3FhZMTLivkS7n74bTNcePayehtp0ntQ4YPex79kMtV4q+LBDk6d32tJVw1JJ1z2jf098f+/UVtO2JCmwxUh9244xt/mSIRWKRQxIF1Ox8suVkqFI0l+S/aD4z16sbaVoq5R9VYNyphwniYGVklKd51eyV1Endo0nK6WWzo7qB/pPydASS387F1MExcovV0qGIkl/SfaD0klPl0KmIW5bpeyrGhRrvy0d2sdMS40rwWGT9rZJxgSP66t8S9Q43DL+ftqOvLB3uuh1JZa8+MKLOrAdlKwYd078dNUqyG3n2V8FWwbkBBElURyGKREd5acP80c31ob75pPIGIT5+IOlRjMpLbFh+qw372zj5llL2LI7vx/zs/u2PLWiNS8+Y4tvJIlZRPm5r7/vBTISPa6FSqmGUch3nnR9STHHRsVcgrEAUx7Elg4NeHEtlZNYt7WfSQnTH16Wd70G5VvCJGOCsZCgfIut1GmcMbLZqRpGUtcw1JDl9mQnDjQkL9K1entXp92Hb5MGX/k3+NZoePIHMH2IDnave7Z3TKOhGd6Yr9sHr5/9umTonlZYM9d7z5MM79oPP54Ct58Oq7w+XvqD/v3abLjjLB3jCJMpv+Ms+NlJcMso+J8pMH0o/OQEHRPx21tltON/jrVP90iQmHaWWW5jQE4QYJeKjsKUiI5TStT3R/ulOqPksJPIGITJVwfLZPqy5abP2pefaO9UedLT5mf3bfncPc/nxWfC4htxYxaF/NwL1oSPa9xSqknHNs77fWnbJCrmYsYCgvIg5rVUZwg3Qv41FWzfP//B6zUo3xIm5xIl32IrdRp3jKzXTE6W25sJfelt3/fedJD+e+Vj9k5s0uC/+xS074Qnput9Hr4B9m7pOcaPaax9Wvv0zcV4Kx/Xbfz+mvz3Wibq9zp2w4ZF8Fuvjz9eq38/cBW8sVDHOMJkyt9YCJuXwf698NYq/Zm3vKpjIn57vzXa8T/HrGu1BEm6Nt/OMjMgYxBJKLX/uJKyFHEoNpe/XDaWanzKGdeo5HmLE2Mo5TUVh5Je28XIewNM31H8se9EphfOxDRx6yCK4KkVrVw1Yz53XT2V4YNq+cTtz/LzK6bwwML1xhqHFI3ZDHdfMzVXNev6+17gJ5cem3vsvv6+F5j+4Ul5Oe0AZ0xs4dsXvStP8fRrDy7hsWWbUF7q3+njm9mwo4312/fx3xcezbTfv8RhLQ3M+NQJufavvfs5Orq6EYHmhixzVrTmjj9uzDBeCCithnHGhGa+ffG7eXXjLq6cMZ8TDxvOc2u30ZG/GBYBMildASwsd33zzjY+c+cCVm3ZzREtjUw7/0j+aebz3PT+iXz9waV0K/39UIChg2r48aXHcvcza3ls2abceozTJ7Swdute1mzZTSqV4taLjubrs5ay3XjCSQkcesAghgyq5UvnTOCzdz9Ht+pm3IjBuTECncL8yTueZce+Tv0ZvLHd0dbJ7VccBwo99ks3odD++SljhvHs6m1kM8IvrzyB7z76Kp3d3dSkU9x+xXFs2dXORbc9Q1dXF5l0mj3eQAlaxmTUkHrSKaGrW7F22x5GDxtEQzbDl86ZwLUzn2PYoBrWv9XGqKYsm3d3eGmg+kRlUhA2BzQ31rJld4f1vZTA6OH1bNrRhoK8NQgmt3xsMvfNe53lG3exv1txyQkH8/CLGxk5OMvGne0cMqyerq5uVm3ZiwBHtDSwr7OLN97qcR+lgS4gI2DrpiYtpFC0d+kxsVlSkxb2e5/51/wnp2VfAW9thKMYauC62XDgUYmOchNEEbxr+l/Z2dZJU12GkU11rNi8m/EjGpl62HDunb+O2nTPSt/LTxzDNz92NF+b9RL3zF/HZVN7/62Ae+evA+/m2FSX4cXp5+X1ec7357Bi8+7c3011GXa26Zua+c9k9jdz3jrr/sFjCjF+RCOP3XB67nPXpIXObkXYJeH7rf3PahJmV5g9l584hnmrt7Fi824tvwCMa2kMHQsbwff9MbLZ4++/q70zZ39w7E1bbW379iYl6nOE3UhLTZLrolKszl6ae51YqM/RQ8KnB3ATRCL6okJZLIVkJforaRHOnjQiJ7VQbpkJxzuPopRbHYVJMFG4NNcEzLx6qnX1rs8hQ+uZefXUxCmDZ0xo7qVu6aeU+il/wcpiUTQ31Bb1KG5T0Qy+51Nfk2bmNVOZ/29nWVMnn/m39+Xp8Dx545mcMaGlCKswVEeFEYOz0TvH5OQjDuCkw4dH7pPNpBg1pM5d/FXiyfYjUYrQJ1VHERzynrI0O2CfIE74r0dp3ZNggY7D4SgZpnvJxz1V9IEyBakH7JcoNzk4HA5HNJlqG1BpqhFvcDgcPbySvWpgPS0UEUTuLwy4J4iWhppqm+BwDGhOa/8h8zrH998YRLpOV4AzJTgK7T/ubBh8cP72oWPgur+Xx8YKUbYJQkRmiMhmEVlibLtYRJaKSLeIHB/Y/yYRWSkiy0XkvN4tloYFXz+3XE07HI4YtDKMFYwB6H/BaklDd4eWFW80ZLYL7T90LGQb89+rGZR4fUJ/o5xPEHcC5we2LQEuBPIEzUVkEnAJMNk75mciEp5W5HA43tY0y85k6z8y9fobul+7uWYQpGroWWKX0tLgKc9rPukC4+BCt5KU/pE0jD3FLrOdqdftHzRFS2+kaqDlyPz923bobRf9Sv/et71Av/2fssUglFJzReTQwLaXAaS3A/KjwP1KqXZgtYisBKYCz5TaLheDePsQd61IlBzF20USfOARX1q+X/C1jcn2P+rC8thRYfpLDOJg4HXj7/Xetl6IyGdFZKGILGxtbU3c0TcvmFychY6KkRY435NHt8mT+5jS0293SXCHoz/SXyYIW06D9QlUKfULpdTxSqnjW1qSL9C6/D2HOt2Xfk6XgubGLCMG11ml2aG39HRS+XGHw1GY/jJBrAdGG38fArxZrs76Q0xsVNM768aV9q6kTAoyKaHWq5hUmxaG1GVo8G7yY4cP4rRxzbkiNB88ehQjB2dJC4xsyuaV6/QxpdkbatPU16Ssst/FlEx1OBzhlHUltReD+JNS6qjA9tnAl5VSC72/JwP3ouMOBwFPAOOVUgFd0XwqIfftcDgc7zTirqQuW5BaRO4DzgCaRWQ98O/ANuDHQAvwiIgsUkqdp5RaKiIPAMuATuDzhSYHh8PhcJSXcmYxfTLkrVkh+98C3FIuexwOh8ORjP4Sg3A4HA5HP8NNEA6Hw+Gw4iYIh8PhcFhxE4TD4XA4rLytCwaJSCuwNsEhzcCWMpnTF/qrXdB/bXN2Jae/2ubsSk5fbRurlCq40vhtPUEkRUQWxsn9rTT91S7ov7Y5u5LTX21zdiWnUrY5F5PD4XA4rLgJwuFwOBxWBtoE8YtqGxBCf7UL+q9tzq7k9FfbnF3JqYhtAyoG4XA4HI74DLQnCIfD4XDExE0QDofD4bAyICYIETlfRJaLyEoRmVbhvkeLyN9E5GURWSoiX/C2TxeRN0RkkffzAeOYmzxbl4vIeWW2b42IvOTZ4MuvDxeRx0Rkhfd7WCVtE5GJxrgsEpGdIvLFao2ZiMwQkc0issTYlniMROQ4b6xXisiPxFJ7twR2fUdEXhGRF0VklogM9bYfKiL7jLG7rcJ2JT53pbYrwrbfGHatEZFF3vZKjlnYfaK615lS6h39g65Yvgo4HKgFFgOTKtj/KGCK93ow8CowCZiOrokR3H+SZ2MWOMyzPV1G+9YAzYFt3wamea+nAbdWwzbj/G0ExlZrzID3AlOAJX0ZI2A+cBK6guJfgPeXwa5zgYz3+lbDrkPN/QLtVMKuxOeu1HaF2RZ4/3vAN6owZmH3iapeZwPhCWIqsFIp9ZpSqgO4H/hopTpXSm1QSj3vvd4FvExIvW2PjwL3K6XalVKrgZXoz1BJPgrc5b2+C7igiradBaxSSkWtmC+rXUqpuehaJsE+Y4+RiIwCmpRSzyj9X/xr45iS2aWUelQp1en9+Sy6OmMolbIrgoqNVyHbvG/aHwfui2qjTGMWdp+o6nU2ECaIg4HXjb/XE32DLhuiK+wdC8zzNl3vuQJmGI+OlbZXAY+KyHMi8llv20il1AbQFy4wokq2AVxC/j9sfxgzSD5GB3uvK2njZ9DfIH0OE5EXRGSOiJzmbaukXUnOXTXG6zRgk1JqhbGt4mMWuE9U9TobCBOEzf9W8dxeEWkEfg98USm1E/g5cARwDLAB/WgLlbf3FKXUFOD9wOdF5L0R+1bUNhGpBT4C/Nbb1F/GLIowWyo9djejqzPe423aAIxRSh0L3ADcKyJNFbQr6bmrxjn9JPlfRio+Zpb7ROiuITaU1LaBMEGsB0Ybfx8CvFlJA0SkBn3S71FK/QFAKbVJKdWllOoG7qDHJVJRe5VSb3q/N6Or/U0FNnmPqv7j9OZq2IaetJ5XSm3ybOwXY+aRdIzWk+/uKZuNInIV8CHgMs/NgOeK2Oq9fg7ts55QKbuKOHcVGy8AEckAFwK/MWyu6JjZ7hNU+TobCBPEAmC8iBzmfSO9BHioUp17fs3/BV5WSn3f2D7K2O1jgJ9V8RBwiYhkReQwYDw66FQO2xpEZLD/Gh3gXOLZcJW321XAg5W2zSPvG11/GDODRGPkuQd2ich7vGviSuOYkiEi5wNfBT6ilNprbG8RkbT3+nDPrtcqaFeic1cpuwzOBl5RSuXcM5Ucs7D7BNW+zvoSeX+7/AAfQGcFrAJurnDfp6If8V4EFnk/HwDuBl7ytj8EjDKOudmzdTklyNyIsO1wdCbEYmCpPzbAAcATwArv9/Aq2DYI2AoMMbZVZczQk9QGYD/6G9rVxYwRcDz6xrgK+AmekkGJ7VqJ9k3719pt3r7/4J3jxcDzwIcrbFfic1dqu8Js87bfCVwX2LeSYxZ2n6jqdeakNhwOh8NhZSC4mBwOh8NRBG6CcDgcDocVN0E4HA6Hw4qbIBwOh8NhxU0QDofD4bDiJgjHgEBEbvZUMl/0lDlP9Lb/UkQmlaD9L4rIld7r2SISu6C8iFxQrA0icrSI3FnMsQ5HITLVNsDhKDcichJ6ZfEUpVS7iDSjlX1RSl1TgvYzaN2jKUU2cQHwJ2BZ0gOVUi+JyCEiMkYpta7I/h0OK+4JwjEQGAVsUUq1AyiltihPYsT/ti8iH5Ee3f/lIrLae/84T6jtORH5a2BFsM/70JIgnca2y0XkaRFZIiJTRSQlWtO/xWs3JVqv/71ovanveH0f4f38n9fnkyJypHfMxV57i0VkrtHXw2iFAIejpLgJwjEQeBQYLSKvisjPROT04A5KqYeUUscopY5Br5z9rqeN82PgIqXUccAM4BZL+6cAzwW2NSilTgY+B8xQWoNoJnCZ9/7ZwGKl5acfAr7i9b8KXZD+n70+vwz8zDvmG8B5Sql3oycVn4VoJVKHo6Q4F5PjHY9SareIHIe+iZ4J/EZEpiml7gzuKyI3AvuUUj8VkaOAo4DHtKwNabRMQ5BRaP1+k/u8vueKSJPoym4z0Lo4P0S7pH5l6b8ROBn4rfQUAst6v/8O3CkiDwB/MA7bDBwUOQgORxG4CcIxIFBKdQGzgdki8hJa+OxOcx8ROQu4GF11DLR08lKl1EkFmt8H1AW77G2Cel1ENonI+4AT6XmaMEkB270nmWAD13nB9Q8Ci0TkGKXVRus8GxyOkuJcTI53PKJrXI83Nh0DrA3sMxbtyvm4Usq/2S4HWrwgNyJSIyKTLV28DIwLbPuEd8ypwA6l1A5v+y/RrqYHvEkLYBe6zCRK1wBYLSIXe8eLiLzbe32EUmqeUuobwBZ65J4n0KOO6nCUDDdBOAYCjcBdIrJMRF6kpya4yafQypmzvGDxn5UuUXsRcKuILEYrbJ5saf8v9Dx1+LwlIk8Dt6HVTH0e8uwx3Uv3A18RXbnsCPSTxdVen0vpKZH7HdHF6JcAc9GxEtBus0dijIPDkQin5upwlAARmQXcqPLLVdr2Ox74gVKqJEFlEckCc4BTA1lUDkefcU8QDkdpmIYOVociItPQFcNuKmG/Y4BpbnJwlAP3BOFwOBwOK+4JwuFwOBxW3AThcDgcDitugnA4HA6HFTdBOBwOh8OKmyAcDofDYeX/AVJXVXcjKH6wAAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.title(\"distribution des RTT après découpage\")\n", "plt.xlabel('Size (bytes)')\n", "plt.ylabel('RTT (ms)')\n", "plt.plot(resDict_sub_1500['size'], resDict_sub_1500['RTT'], ls=\"\", marker=\"*\")\n", "plt.plot(resDict_over_1500['size'], resDict_over_1500['RTT'], ls=\"\", marker=\"*\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On réapplique la régression linéaire avant de l'afficher avec les données." ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[2.29726279e-04 1.13135332e+02]\n", "[-1.4810656e-03 1.1946463e+02]\n" ] } ], "source": [ "reg1 = np.polyfit(resDict_sub_1500['size'], resDict_sub_1500['RTT'], 1)\n", "reg2 = np.polyfit(resDict_over_1500['size'], resDict_over_1500['RTT'], 1)\n", "print(reg1)\n", "print(reg2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Sur la première partie des données, on trouve $L \\approx 113$ et $C \\approx 4347$." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Sur la seconde partie des données, on trouve un a négatif, ce qui est très incohérent avec le modèle, $C = 1/a$ étant censé être le débit de la connection et donc une grandeur positive." ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "x1 = np.linspace(0,1493, 1492)\n", "x2 = np.linspace(1493, 2000, 506)\n", "\n", "y1 = reg1[0]*x1 + reg1[1]*np.ones(x1.shape)\n", "y2 = reg2[0]*x2 + reg2[1]*np.ones(x2.shape)\n", "\n", "plt.title(\"Régression linéaire des RTT par rapport à la taille\")\n", "plt.xlabel('Size (bytes)')\n", "plt.ylabel('RTT (ms)')\n", "plt.plot(resDict_sub_1500['size'], resDict_sub_1500['RTT'], ls=\"\", marker=\"*\", alpha=0.1, color='lightblue')\n", "plt.plot(resDict_over_1500['size'], resDict_over_1500['RTT'], ls=\"\", marker=\"*\", alpha=0.1, color='lightblue')\n", "plt.plot(x1, y1, color='red')\n", "plt.plot(x2, y2, color='red')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Cela remet fortement en question la pertinence d'applique la régression sur toutes les valeurs et pas seulement sur les minimums. On applique donc la régression sur les minimums" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[3.57496224e-04 1.10878770e+02]\n", "[4.99749629e-04 1.11655553e+02]\n" ] } ], "source": [ "x_sub_1500, min_tab_sub_1500, x_over_1500, min_tab_over_1500 = create_min_array_with_split(resDict, 1492)\n", "\n", "# On fait les régressions\n", "reg1_min = np.polyfit(x_sub_1500, min_tab_sub_1500, 1)\n", "reg2_min = np.polyfit(x_over_1500, min_tab_over_1500, 1)\n", "print(reg1_min)\n", "print(reg2_min)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Sur la première partie des données, on trouve $L \\approx 111$ et $C \\approx 2801$." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Sur la première partie des données, on trouve $L \\approx 111$ et $C \\approx 2000$." ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "x1 = np.linspace(0,1493, 1492)\n", "x2 = np.linspace(1493, 2000, 506)\n", "\n", "y1 = reg1_min[0]*x1 + reg1_min[1]*np.ones(x1.shape)\n", "y2 = reg2_min[0]*x2 + reg2_min[1]*np.ones(x2.shape)\n", "\n", "plt.title(\"Régression linéaire des RTT minimums pour chaque taille\")\n", "plt.xlabel('Size (bytes)')\n", "plt.ylabel('RTT (ms)')\n", "plt.plot(resDict_sub_1500['size'], resDict_sub_1500['RTT'], ls=\"\", marker=\"*\", alpha=0.1, color='lightblue')\n", "plt.plot(resDict_over_1500['size'], resDict_over_1500['RTT'], ls=\"\", marker=\"*\", alpha=0.1, color='lightblue')\n", "plt.plot(x1, y1, color='red')\n", "plt.plot(x2, y2, color='red')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Conclusion\n", "Il semblerait que la relation entre RTT et taille soit assez complexe et qu'il y ait un grand écart type dans les mesures de RTT pour une même taille de paquet. Toutefois, le minimum de RTT pour une taille donnée semble être corrélé à la taille du paquet et la modélisation simple qu'on utilise (T(S) = L + S/C) semble assez cohérente dans ce cas." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On note toutefois que les valeurs qu'on a trouvé pour C, de l'ordre du Ko/s semblent assez faibles et qu'on gagnerait à faire des mesures avec des tailles beaucoup plus grandes de paquets pour avoir une plage plus grande sur laquelle effectuer la régression." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On note également que la méthode np.polyfit() ne renvoit pas la R² ni l'incertitude sur la régression et on est réduit à se baser sur la cohérence visuelle des données. Le travail réalisé ici ne permet que d'avoir une intuition sur l'évolution du RTT avec la taille des paquets sur une connection réseau." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 }