{ "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." ] }, { "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.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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r6gYA93FUjsswKPSWncxTURa02UeNMXmVs0AgIp8CNqvqgj5uf4OINItIc2tr6wCXLr9iiSR7YgmqynrvI6gqC9jto8aYvOo1EIjIMBG5U0TeEJHXReQ/M+zgPRW4UERWAX8AzhaR+4FNItLo7rsR2Nzdxqo6S1WbVLWpvr6wZ7nYHe19eglPRShIuwUCY0weZVIj+AOwC7gKuNp9/mBvG6nqd1R1rKpOAC4H/qqqV+PkNZjprjYTmNOHcheUTLKTeSpDAdpjCZJJzXWxjDEGyCwfwUhV/W7K6++JSJ+ae1x3AA+JyHXAGuDSfuyrIHQlpcmgs7iyLIgq7IkluiahM8aYXMrkSvOiiFyiqg8DiMhFwNPZHERVXwBecJ9vBaZnV8zClkkuAk9X3uLOuAUCY0xeZHKl+QJwk4jE3NelwE4R+UdsqomMeNnJMmkaqkrNSVCd02IZYwyQYdNQzksxxLVl2VkMlqXMGJM/6TKUTVbV5cCR3b1vyesztyubPoKQl5zGxhIYY/Ij3ZXpVuA64BfdvGfJ67OwNztZBnMNdTUNWY3AGJMfPQYCVb1OREqAW1R1fh7LNOREOmIESoRwae9361amdBYbY0w+9Db7aBJnmgjTD94U1CI9ZyfzdAUCqxEYY/IkkwFlc0VkRs5LMoRlmpQGnAFl4N41ZIwxeZDJ1elrQK2IRIE9WIayrO3KIhBUdHUWW43AGJMf6e4aGq+qa7DbR/utLRqjJoOOYoBQsIRQoIQ2qxEYY/IkXdPQ49BzlrI8lW9IyCRxfaqKsoDVCIwxeZMuEPTes2kykmm+Yk9lKGhTURtj8ibd1ekgEflZT2+q6o05KM+QFMmijwCcsQTt1jRkjMmTdFenPUB/Zhk1Lic7WWZ9BOB0GNs4AmNMvqQLBFtVdXaa900GOmIJOhPJrJqGLG+xMSaf0vURdOatFENYNhPOeSpCAZtryBiTNz0GAlU9KZ8FGaq8eYay6SOoKrPOYmNM/uQseb1xRPoQCJzbR61GYIzJj5wFAhEJuwnv3xaRd0Xke+7y4SIyV0SWu4/DclWGwSASdZLSZNNZXBmyPgJjTP70GAjcC3aPPxnsOwqcrapTgWOAT4jISTjTW89T1cnAPPf1kNWVrzibcQRlQaLxJPFEMlfFMsaYLumuTgtw8g4IMB7Y7j6vw0k6PzHdjlVVgTb3Zan7o8AM4Ex3+WycXMbf7kvhC0FbHwJBhTfxXGeC2nJrvTPG5Fa6zuKJqjoJeBb4tKqOVNURwKeARzPZuYgERGQRsBmYq6qvA6NVdYN7jA3AqB62vUFEmkWkubW1NbuzGkS68hVn2VkMNhW1MSY/Mvm6eYKqPuW9UNWngY9lsnN3XqJjgLHANBH5aKYFU9VZqtqkqk319fWZbjboeHf/ZDfXkM1AaozJn0wCwRYR+T8iMkFEDhaR24Ct2RxEVXfgNAF9AtgkIo0A7uPmLMtcUCIdcULBEsqCgYy3sZwExph8yiQQXAHUA4/hzEg6yl2WlojUi0id+7wcOAd4D3gCmOmuNhOYk32xC0ckGqcmi9oAWJYyY0x+9XqFUtVtwDf6sO9GYLaIBHACzkOq+qSIvAY8JCLX4XQ6X9qHfReMbLKTeSpDXt5iqxEYY3Kv1yuUiBwGfBOYkLq+qp6dbjtVfQc4tpvlW4Hp2Ra0UEU6Yln1D4Az+yhYjcAYkx+ZXKH+CPwSuAewr6hZaovGqS7LfDAZpDQNWWexMSYPMgkEcVW9O+clGaIiHXHGDa/IahtvHIHlJDDG5EMmncV/EpGvikhjliOLDU4gyGYwGexNYG8Tzxlj8iGTK5R3h88tKcsUmDTwxRl6Ih0xqrPsLA6UCOWllrfYGJMfmdw1lHYqCdMzVXXzFWfXRwBOP0GbNQ0ZY/Igk7uGruluuar+ZuCLM7S0dyZIanajij2VZVYjMMbkRyZXqBNSnodxbv1cCFgg6EVfspN5KkNBXl+xjYfeXMuFx4whXJr5yGRjjMlGr53Fqvr1lJ/rccYGhHJftMLXl6Q0nn869zBqy0v51iPvcPK/z+OOp99j3Y49A11EY4zpU2KadmDyQBdkKPJmHu1LjeCcj4zmmZtO54HrT2LaxOHMeulDTv/hX/nyb5uZvyKrqZ4G1K9fWcnFd79KMqm+lcEYM7Ay6SP4E85dQgAB4AjgoVwWaqjY2zSUfWcxgIhw8iEjOPmQEbRsb+f++Wv4w5trePbdTfzXFcfy6aljBrK4vXr8rXV8709LAdjSFmVUTTivxzfG5EYmX1X/I+V5HFitqi05Ks+gpao0r97OkWNquu7z701/mob2N3ZYBbeefzg3nTOZi+9+lTuefo9zPzI6b30Hf1u+hVsefpuRVSG2tHWyfmeHBQJjhohM+ghexJk1tBoYBnTmulCDTTSe4NZHFnPpL19j9qurM96uL9nJehMuDXDbBUewbscefvW3lQO233TeXb+Tr9y/gEPqq/ivK44DYONO668wZqjoNRCIyGXAGzizhF4GvC4il+S6YAPh3fU7eemDVpysmX3TGoly5f+8zoPNawmUCGu2tWe87S6vjyDLuYZ6c8ohIzn3I6P57+f/TmskOqD73t/abe1c++s3qQkHue8L05jSUA3A+h0dOT2uMSZ/Muksvg0nS9lMVb0GmAb8c26LNTDueXkl19z7Bpf9v9d49cMtWW+/uGUnF/78byxdv4tfXHkchzdUs2lX5hfAvmQny9R3zj+caDzJnX/5YMD37dm+u5OZv36DaCzB7C9Oo6E2zLCKUsqCJWywGoExQ0YmgaBEVVOziG3NcDvf3XHxUXx/xpGs2dbOlf/zOlfMms+bq7ZltO2cReu45JevUiLCw/9wMhcc3UhDTZiNOzMPBJGOOBWhAIES6esp9GhSfRVXn3Qwf3hjDe9vjAz4/jtiCb70m2Zatu/hnpknMHm0UxMQERprw6zP4vdgjBncMrmgPyMiz4rItSJyLfBn4OncFmtglAUDfP7kCbx4y1l899MfYfnmNi795Wt8/levs2D1djpiiQN+2jvj3PH0e3zjD4uYOraOOV87lSPH1AIwujbMxixqBJsjUUZWleXq9PjG9MlUlQX5t6eWDeh+E0nlxgfeYuGa7fz0c8cwbeK+cww21pazwcY0GDNkZDLX0C0ichFwGiDALFV9rLftRGQczujjBiDpbvdTd+bSB3ES3awCLlPV7X0+gwyESwN84dSJXH7CeO6fv5q7X/yQi+9+Ne02V544nts/fSSh4N5Y2VATZtvuTqLxREY5iFu2tzN2WHm/y9+TYZUhbpw+mX/98zJeeH8zZ04Z1e99qirffWIJzy3dxPcuPJLzj2o8YJ3GujDzP/RvLIMxZmBl1Hitqo8CjwKISEBErlLV3/WyWRz4X6q6UESqgQUiMhe4FpinqneIyK3ArcC3+3wGWSgPBbj+jElceeJ45ixaz849sW7Xm1RfyXlHNhywvKHWuV1y865oRjkGWrbv4awp9f0rdC8+f/LB/Hb+an7w1DJOO3QkwUD/Wu3++4UPuX/+Gr7ysUOYecqEbtdprA2zKRIlkdScNHsZY/Krx0AgIjXAPwIH4SScn+u+vgVYBKQNBKq6AdjgPo+IyDJ3XzOAM93VZgMvkKdA4KksC3LlieOz3q7BvW9+466OXgNBRyxBayTK2GHZJaXJVlkwwHfOP5yv3L+QB5vXctWJB/d5X39sXsuPn32fzx57EN86b0qP6zXWlpNIKpsjHTTW5q7GY4zJj3RfH38LTAEWA18CnsO5hXSGqs7I5iAiMgFnjqLXgdFukPCCRf/bM/LEqxFsyKCj1JsXKJdNQ57zjmxg2oTh3Dn3g65pLbL1wvubufXRxZx26Eh+ePHRlKT5pj+mzvk92C2kxgwN6QLBJFW9VlX/H3AF0AR8SlUXZXMAEakCHgFuUtVdWWx3g4g0i0hza2trNofMmdFujWBTBoGgZbsXCHJbIwDnTp7bLjiCLW2d3P7EUvZ0ZpfHYHHLTr76u4VMGV3N3Vcft0+/SHe8WkA2d1AZYwavdJ/4rq+WqpoAVqpqVvcpikgpThD4ndvPALBJRBrd9xuBzd1tq6qzVLVJVZvq63Pbzp6pmnCQ8tJARncOtWx3Bp7lo0YAMHVcHV/+2CQeWdjCOT95kWeWbMhoIN2are184b43GF4Z4r4vnJDRvEhj3EBgYwmMGRrSBYKpIrLL/YkAR3vPRaTXb/YiIsCvgGWq+pOUt55gb/rLmcCcvhY+37x76DMLBHsIlkhXLSIfvnP+ETz05ZOpDgf5yv0LuebeN1jR2nbAeomk8sbKbXz/yaVcdPerxJPK7C9Oy3juoJpyJyBa05AxQ0OPncWq2t/ZzE4FPg8sFhGvOel/A3cAD4nIdcAanH6HgjE6w0FlLdv3MKauPO931UybOJwnv34av3ltNXfO/YDz7nqJL50+ia+ccQgL127nuXc3MnfpJra0dRIKlHDa5JHcfM5hHFJflfExRITGurDVCIwZIgZ+7gOXqv4NZ9xBd6bn6ri51lAb5o2VvY9OzvUYgnSCgRK+eNpEPjW1kTuefo+7X/iQu1/4EIDKUICzDh/FeUc2cOaU+j5PkT2mtjyjTnNjzOCXs0AwVI2uCbM50kEyqWnvrMnHGILejKoO85PLjuHKaeOZu2wTJ04czimHjByQqasba8O8tHxwdOIbY/rHAkGWGmvDxBLKtvbOHqePyNcYgkw1TRhO04Thva+YhcbaMJsjUWKJJKX9HMRmjPGXfYKz5HX+pusnyOcYAr801pWjSlazsRpjBicLBFnyBpWlCwT5HEPgl8YMfg/GmMJggSBLqdNM9CTfYwj8MKbOOTebjtqYwmeBIEv11WUESiRtk4gfYwjyrWu6DZuO2piCZ4EgS4ESob6qrNemIT/GEORTTbiUqrKg3UJqzBBggaAPektQ4+cYgnxqrA2z3moExhQ8CwR90FDTe42gKAJBXXlWGduMMYOTBYI+aKjpuUYw2MYQ5NKY2rDNN2TMEGCBoA8aasuJdMTZHY0f8F4xjCHwNNSG2dIWJRrPbtprY8zgYoGgDxpqnRHF3dUKimEMgcebjnrTzqjPJTHG9IcFgj5Il6CmGMYQeBrrvIxt1mFsTCGzQNAH6QaVFcMYAk9jV4Ia6ycwppBZIOiDrmkmeggEQ30MgcebZmK91QiMKWgWCPqgIhSkJhzs9hbSYhlDAFBZ5vweNtidQ8YUNAsEfdRQ232msmIZQ+AZU2cJaowpdDkLBCJyr4hsFpElKcuGi8hcEVnuPg7L1fFzbXRN+ID5hoppDIGnsdZSVhpT6HJZI7gP+MR+y24F5qnqZGCe+7ogdZfEvpjGEHgaLGWlMQUvZ4FAVV8C9k/uOwOY7T6fDXwmV8fPtYaaMK2RKPFEsmtZMY0h8IypDbNtdycdMRtUZkyhyncfwWhV3QDgPo7qaUURuUFEmkWkubV18OXGHV0bJqnQ2rZ3MFUxjSHwNNbZLaTGFLpB21msqrNUtUlVm+rr/U0C352GblJWFtMYAs+YWhtUZkyhy3cg2CQijQDu4+Y8H3/AdI0u3rVvICiWMQSerhqB3UJqTMHKdyB4ApjpPp8JzMnz8QdMdzl7i2kMgcerGVmNwJjClcvbRx8AXgOmiEiLiFwH3AGcKyLLgXPd1wVpeGWIUKCEDfvVCIotEJSHAgyrKLXcxcYUsGCudqyqV/Tw1vRcHTOfRIRRNWVdE88V4xgCT2NtedpEPcaYwW3QdhYXgtQENeuLcAyBZ0ydpaw0ppBZIOiHhtowm3Y5t48W4xgCT0Nt2G4fNaaAWSDoh4YaZ3oFVU0JBMVXI2isLWfnnhjtnQdmbDPGDH4WCPqhoTZMRyzJrj1xWra3F90YAs+YrgQ1ViswphBZIOiH0SkJaopxDIGnK0FNN2MJZr30IZ/971fYuSeW72IZYzJkgaAfGmtTA0HxjSHw9JSg5u4XPuQHT73HW2t28K9PLvWjaMaYDFgg6IeuGsHOPUU5hsDjZWxLrRHMeulDfvjMe3x66hi+/LFJ/HFBCy+8X7ADyY0Z0iwQ9IMXCFZvbWdzkY4hACgLBhhZFeoaXXzPyyv4wVPvccHRjdx52VRuPucwDh1VxXceXUykw5qO84JkAAAU20lEQVSIjBlsLBD0QyhYwojKEAvXbAeK844hT6Obl+C+V1byr39exvkfbeCuzx1DMFBCuDTAjy85mk27OvjBU+/5XVRjzH4sEPTT6Jowi9buAIpzDIGnsTbM6yu3cvuflnLekaP52RXHUhrY++917PhhfOn0STzwxhpe+fsWH0tqjNmfBYJ+anRvIYVirxE4v4dzjhjNf11x3D5BwPNP5x7GpJGVfPuRd9gdtTEHxgwWFgj6abTbUVqsYwg8Fx03li9/bBK/uOpYQsHu/63CpQF+dMnRrNuxhx8+Y01ExgwWOZt0rlh40zAX6xgCz9RxdUwdV9frek0ThnPtKRP49Sur+ORRjZw0aUQeSmeMSccCQT95gaCYm4Wydct5U5i3bDPf+MNbfPsTh3Ph1DEEu2lK6k2kI8ajC9chAhdOHUNdRSgHpc1MMqnMX7GV5tXbOfvwUXz0oNq063fGkzy9ZAPvtOxk+hGjOGniCEoG8ItEpCPGQ80t7Gjv5MSJIzju4DoqQoXxcd/R3sm9f1vJi8u3MP3wUVzWNK7rFuVsqCqvfbiV9Ts7OPeI0dRWlKZdP5lUmldvJ1AiHDe+DpG+/T0WrN7OwwvWcuioaq6cNp7yUCDt+iu37ObP76xnSkMNp08eSbg0/fq5IKqa94Nmq6mpSZubm/0uRrde+qCVa+59g8uaxvKjS6b6XZyCsWTdTm55+B2WbdjFpJGV3Dh9Mp+eOiajWlVrJMqvX1nJb+evJtLh9DWEgiWc/9EGPnfCOE6eNKLPH+Jsrdqym0cWtvDownWsS5mB9djxdVx94sFccHTjPh/sTbs6+N3ra/j962vY0halRCCpcFBdORcddxAXHzeWCSMr+1yeTbs6uPeVlfx+/hoi0XjX/ksDwtSxdZw4aTgnTRrBlNHV1FWEemzG88O23Z3c8/IKZr+6it2dCY5orGHZhl2UCJx9+CguP2E8Z06p7/VLQ0cswROL1nPvKyt5b2MEcP4/Pv6R0Vxy/FhOn1zf9X+mqizbEGHOonXMWbS+azbhKaOrueqk8Xz22IOoDqcPIACJpDJ36UZmvbSChWt2UBYsIRpPMqIyxBdPm8g1Jx98wH4WrN7GrJdW8NzSTXiX4aqyINOPGMUnj2rkY4fV9zsoiMgCVW3qdT0LBP3zwaYIH7/zJf7p3MO4cfpkv4tTUJJJ5bmlG7nrL8t5b2OEQ+qdgPCpo7sPCKu27GbWyyt4eEELsUSS8z/awJfPOITSQAkPvrmGx95ax66OOBNGVPC5E8ZzeGM1nfEksUSSzrj7k0iya0+Mbbtj7GjvZFt7J9t3d7K9PYYIlAVLKAsGKAuWEAqWUBYsoSpcSk04SHW4lJpy5zGRSPLkOxtoXr2dEoHTJtdz8XEHcfKkETz5zgbuf301K1p3M6yilMuaxnHSpBE8srCFZ5ZsJKHKWVNGMfOUCZwwYRhzl27i4QUtvPL3LSQVjj94GGdNqSeRhI54go5Ygo5Ykmg8QbBEGDesgnHDKxg3vJxxwyqory7j75vbmPXSCh5ftI5EUjn/qEa+fMYkJtVXsWD1duav2Mr8FVt5p2UnieTez3xlKEBdRYi6ilKGVYQoDQhJhaSq85N0nleWBaktL+36qasopSZcSiKp7O6M096ZYHfUeWzvjFMRClITDlLjru89VpUFqSwLUlkWoKosSHlpgC1tTgD47fzV7IkluOCoRr5+9mSmNFSzZms7Dzav4aHmFlojURpqwlx4zBgmjqykoTbMmNpyGmrD1ISDbN3dyf3zV3P//NVsaetkyuhqrjttIoc1VPP4W+t4fNE6drTHGFVdxmePO4iacClzFq3jg01tBEuEjx1Wz4xjD2JPZ5z7569h8bqdVIQCzDhmDFedeHBXLU9VSapz8d8TS/D4W+u495WVrN7azrjh5Vx36kQubRrH0g27+Plf/86LH7RSEw5y7SkTmHnKBN5ctZ3/eXkFC1Zvp7a8lM+fdDBXnjie5ZvbeOqdDTy7dCM72mNUhgKcfcRovnrmIRzRWNOnz9igDgQi8gngp0AAuEdV02YqG8yBIBpP8KXZzXzz41MyaiM3B0omlWfe3chdf/mADza1URkKEC4NECgRSgMlBEqEYImwautugiUlXHz8WG44YxIT9/vm3BFL8PSSDTzwxlreWLkt7TGryoIMqyxleEWo60IIEI05wSIaTxCNJemIJ2jriBPpiLOrI0Yssffzckh9JZccP47PHnvQAU0XXrPEb+ev5rmlm0gklepwkM81jePzJx/MwSMO/Na/cWcHj721jkcWtvD3zW2A800+HAxQVhogXOp8y2yNRPfZzvv2GS4t4XNN47jutEmMH9H9rcy7o3GaV29n7bZ2drQ7AXB7eyc73MdEUhERSgRKRAiIgEB7Z5yde2LsaI911cL2FywRKsuChEtL2NOZIBKN09vlpUScJE+qyoVTx/C1sw/l0FHVB6wXSySZt2wzf3hzDS8v37JPMAMnoMUSSmciyVlT6rnutEmceui+NcNoPMHz723m4QUtPP9+K4mkcvzBw/jMsQdxwVGNDK/ct2nx7bU7+N3rq3ni7fV0xJKUBoRE0gkC+zt2fB3Xnz6J845sOOBLzOKWnfz8+eU8++4mREDVaUr+0mlOwKgs27fJLpZIMn/FVp5avIFnlmzkvi9M6/O1ZdAGAhEJAB/gpKpsAd4ErlDVHiejGcyBwAycZFJ5eslG3ly1jXgySTyhxJNKPJEknlQmjKjkmlMOZlR17+3Fa7a2s2V3lFCgpOvbfWnAeawOBykLZl/lVlWicadGEY0nGTusPKMmqI07O1i8bienHjoio3Z6VaUjliQULOm2ZtQRS9CyvZ212/awdns7a7e1U1cR4opp4w+4mOVCPJEk0uEEhtJgCZWhABWh4AHNTMmkEonG2bUnxs49MXbtidEWjbO7M05b1Amwu6NxFOWi48ZySH1VxsffHImyYece1u/oYMPOPWzY2UFAhMunjefQUb3vZ2tblGg8yZi63vv2drbHmPP2Otbv6CBYIpSUOAEyGBACJcIJE4Zx/MHDe93P+xsjPLKwhaPH1vKJIxsy6heLJ5IESqTPTZ2DORCcDNyuque5r78DoKr/3tM2FgiMMSZ7mQYCP3qKDgLWprxucZcZY4zxgR+BoLs6zgHVEhG5QUSaRaS5tbU1D8Uyxpji5EcgaAHGpbweC6zffyVVnaWqTaraVF9fn7fCGWNMsfEjELwJTBaRiSISAi4HnvChHMYYY/BhZLGqxkXka8CzOLeP3quq7+a7HMYYYxy+jDlX1aeAp/w4tjHGmH0NnvHlxhhjfGGBwBhjilxBzDUkIq3A6j5sOhIY6umwiuEcwc5zqCmG8xwM53iwqvZ622VBBIK+EpHmTEbVFbJiOEew8xxqiuE8C+kcrWnIGGOKnAUCY4wpckM9EMzyuwB5UAznCHaeQ00xnGfBnOOQ7iMwxhjTu6FeIzDGGNOLIRMIRORmEXlXRJaIyAMiEhaRH4vIeyLyjog8JiIFn0Ksu/NMee+bIqIiMtLPMvZXT+coIl8Xkffd937kdzn7q4f/2WNEZL6ILHJn353mdzn7S0S+4Z7juyJyk7tsuIjMFZHl7uMwv8vZXz2cZ2Fcg1S14H9w8hmsBMrd1w8B1wIfB4Lush8CP/S7rLk4T/f5OJz5m1YDI/0uaw7+lmcBfwHK3OWj/C5rjs7zOeB8d9kngRf8Lms/z/OjwBKgAmdKm78Ak4EfAbe669w6BD6bPZ1nQVyDhkyNAOeXXy4iQZw/xnpVfU5VvQSr83GmvC50B5ynu/xO4Ft0k9uhAHV3jv8A3KGqUQBV3exj+QZKd+epgJepvJZupmgvMEcA81W13f0svgh8FpgBzHbXmQ18xqfyDZRuz7NQrkFDIhCo6jrgP4A1wAZgp6o+t99qXwSeznfZBlJP5ykiFwLrVPVtXws4ANL8LQ8DTheR10XkRRE5wc9y9lea87wJ+LGIrHXf/45/pRwQS4AzRGSEiFTg1HLGAaNVdQOA+zjKxzIOhJ7OM9WgvQYNiUDgti/OACYCY4BKEbk65f3bgDjwO39KODB6OM9rgNuA/+tn2QZKmr9lEBgGnATcAjwkfc3oPQikOc9/AG5W1XHAzcCv/Ctl/6nqMpwmkbnAM8DbOJ/FIaW38xzs16AhEQiAc4CVqtqqqjHgUeAUABGZCXwKuErdhroC1t15fgHnYvK2iKzCqXouFJEG/4rZLz39LVuAR9XxBpDEmculUPV0njPd5wB/BAq+s1hVf6Wqx6nqGcA2YDmwSUQaAdzHgm/q6+E8C+IaNFQCwRrgJBGpcL8lTgeWicgngG8DF6pqu68lHBjdneejqjpKVSeo6gScC+ZxqrrRz4L2Q7d/S+Bx4GwAETkMCOH/hF790dN5rgc+5q5zNu7FpJCJyCj3cTxwEfAATlbCme4qM4E5/pRu4HR3noVyDfIlMc1AU9XXReRhYCFO9estnFF97wJlwFy3FWG+qn7Ft4L2U5rzHDLSnKMC94rIEqATmDlYv11lIs15vgX81O1A7gBu8K+UA+YRERkBxIB/VNXtInIHTvPedThB8VJfSzgwujvPn1MA1yAbWWyMMUVuqDQNGWOM6SMLBMYYU+QsEBhjTJGzQGCMMUXOAoExZkgRkUvdid+SIpI2VaSIBETkLRF5MmVZtxPFuaOGnxeRNvduIG/9aneSQO9ni4jclfL+ZSKy1C3T71OWPyMiO1KP7S4XEfk3EflARJaJyI29nENIRH4tIotF5G0ROTPjX5bLAoHJGfeD4304NorIupTXr+bomMeKyD392P5fROScLNa/yZ1SwHv9VK5mmBSROhH5ai72vd9x6kXkmVwfZyCIyJkict9+i5fg3Mf/Uga7+AbO+I1Uc4GPqurRwAfsneajA/hn4JupK6tqRFWP8X5wJn581C3fZHf7U1X1SJwpRDw/Bj7fTZmuxZme4nBVPQL4Qy/ncL1bjqOAc4H/FJGsru0WCEzOqOrWlA/HL4E7Uz4wp+TosP8b+K++bqyq/1dV/5LFJjfhTBjnbf9JVd3R1+P3og7IeSBQ1VZgg4icmutj5YKqLlPV93tbT0TGAhcA+3xx6GmiOFXdrap/wwkIPe1zMs68SS+7i64HfqGq2919dI2gVtV5QKSb3fwD8C+qmkzdRkQqReReEXnTrcXMcNf/CDAvZd0dQNqa0P4sEBhfiEib+3imOJPIPeRWhe8QkatE5A23qnuIu169iDzifgje7O4iJSLVwNHe5HsicruIfDPl/SUiMsH9WSYi/+NW158TkXJ3nftE5BIRqRUn98EUd/kDInL9fse7EWeeoOdF5Hl32SoRGeke4z0Rucc97u9E5BwReUWcOfinuet3++EWkSPd38Eit4liMnAHcIi77MciUiUi80Rkofu78rbN9Ni3i8hvReSv7vLU83scuKrff+jB7S6cGXuTadbJdqK4K4AHUwY7HgYc5v7u54sz0rg3hwCfEycfxdPu3x6cOcX+qqon4EzL/mMRqcSZ12iGiARFZCJwPAdOeJderue5th/7UVWA24Fvprxucx/PxPkG04gzAnMd8D33vW8Ad7nPfw+c5j4fDyzr5hhnAY+kOeYSYIL7EweOcZc/BFztPr8PuMR9fi7wGnA58EwP57WKlPwP3uuUYxyF84VrAXAvIDiTzT3urv+DlGPX4TRFVOLUaq5yl4eAcnefS1KOFQRq3Ocjgb+7+8/02LfjXETK3e3XAmPc9w4CFvv9f5Pm/+l1YJF7ztvc54uA81LWeQFo6mH7TwH/nfI/+GQ369wGPIY78DZl+bXAz3vY71Lg+JTXT7r7KMWZE6wFqEt5/4BjA23A/3KfXwS87D5vxvkf9s51Dc7010GcaegX4UzV8RQwI5vf55CYYsIUvDfVnZJYRD7ESc4CsBjn4g7OJG0fkb0TjtaISLWqplatG4HWDI+5UlUXuc8X4Fw896Gqc0XkUuAXwNQM97v/MRYDiMi7wDxVVRFZnHK8jwMXptRcwjiB7jXgNrf54lFVXS4HTrYqwA9E5Aycb7UHAaOzODbAHFXdA+xxazXTcGoDm3FqO4OSqp4ITo0SJznTtVnu4lSc3/sncX7nNSJyv6pe7e7XmyhuurpX4d6IyFScJDQLUha34EwrEQNWisj7OAlr3kyzqxbgEff5Y8CvvUMAF2v3zV43p5TjVbKco8qahsxgEE15nkx5nWTvfFglwMm6t4/hoP2CAMAenA+1J86+/+Op76UeM0E38265HW5HuPsdnuG5pMrkvLwPt3de49Vp4/49cKF77GdF5Oxu9n8VUI/zDfQYYBN7zzGTY8OBiYy812H32EOSqn5HVceqM1Hj5ThNLl4Q6OtEcVfgTKiX6nHcLzPipJA9DFjRy366JljEmYDwA/f5s8DXxf1GICLHuo8VbhMRInIuEFfVpVmU2wKBKRjPAV/zXojIMd2ssww4NOX1KuA4d/3jcKrm2bjZ3ecVOBPelXazTgSoznK/qXr6cE8CVqjqz3Bm6jy6m2PVAptVNSYiZwEH9+H4M8TJlTwCp5nC+6Z6GE4zRMERkc+KSAtwMvBnEXnWXT5GRJ7KYBc/x/k9z3X7Y36Zsu9VwE+Aa0WkRUQ+krLdZRwYCJ4FtorIUuB54BZV3eru62Wcqcanu/s6z93mDuBit/b278CX3OXfx2liekecyRe/7y4fhTP1/DKcANbdnUhpWdOQKRQ3Ar8QkXdw/m9fAvaZxVFV33M7eb0mo0eAa0RkEc4F7oP9d9oTcaa6/hIwTVUjIvIS8H+A7+636izgaRHZoKpn7b+fDHwfp9PyHTcYrMJpkvgccLWIxICNOHeRbHM7HZfgdGD+EPiTiDTjtA+/14fjvwH8Gac56vuq6qXGPMtdPqip6gs4fQGpyx7DaVLZf931OJnD0u5DVQ/df52U9yakeW9SN8sU+Cf3Z//3Tu9hPztw7mbaf/ke4MvdLF8FTOmpXJmw2UfNkCIiNwMRVe3zWIJiISK343Ta/0c3772E0+G4Pe8FM3lnTUNmqLmbfdvHTZZEpB74iQWB4mE1AmOMKXJWIzDGmCJngcAYY4qcBQJjjClyFgiMMabIWSAwxpgiZ4HAGGOK3P8HGpMjYUBDthQAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# On affiche seulement les 10 premières mesures\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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# On affiche seulement les 10 premières mesures\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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "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": "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.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.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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\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.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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# On affiche seulement les 10 premières mesures\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", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# On affiche seulement les 10 premières mesures\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.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. Mais on remarque assez facilement qu'elle n'a pas l'air de concerner la valeur minimale." ] }, { "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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PjUdC3vO5tbSOQ4n/N38X+xWW4C1ceuQetG76IXDgJWDvBhQ/G1KGyXjj12afX8R6dy6WvPkUS03deGexYidEhdV+J99fxnTIxx7aAezfxNJfD7wEDO5Vz83YdJexfo70yOaRHqDekR4BqNIWUxel9GD+778DcAal9HJCyEIAq8EGjOkA1gKYS6kBVmJStdNcV9yzEW2NCVy5dCZWv9iD/pEUbr/a8VubltZxrcy32xCjGe8nkhAw6yzzsp6X38ewG289KfGNbOQl/VSF9NjxB/V5JMRiA5vvYQOY9cUACy8DXn/EXXut2uZTbi2msg0QhJD7ASwD0ArgHQDfyr8+Dewjwm4AK4QB4+sAPgdgEsBXKKVPOtVR7QFCS0vLh0Z6gd99A3jzcZbNQ8JsLWoo2EQA29/9MeCS79t/gpbLjdQBJ58LgLA1pvm2U5YDF9zCylKdI+73Upeq3Dceyy9olFckAZxyqXX94QSbMT3WXwQCAvmMLZdtcyG3A0TZFgyilF6h2HyHzfG3ALilXO3R0tKqEclWzGT+DZSE1d8AZEQGwN5YH7oW+NTdNuiMNBBrBHb+kdWhsogaO9knfZ4+6zZ1dLQP2PorIDdhXa5oi9GsebU7fg3Ns4S+SANjA+y32DcVSmuVpVEbWlpalZcKW8HTROumsbTSxi5rRIZVzEBOA+15lp3b1m2dGvr2Wva7ebr71NGHP88Gh0SLdbly+uusM43H8WvoebbY5rZuNljx9spIjzKntcrSqA0tLa1jR0GuJLey2bqelUMW232cI8sLNqRMK8zVapqrlpaWln+5xU24OW7FeoboENUyE/jCM9b1+znHzTXMX87SWCuM83aSHiC0tLSqL6t5CPJ2u7RTN1gK0OIxXacyJIeoaD3Quci6nX7Oka9DFYPZ9juGEnG6Lru+KoP0AKGlpVV9WcUUVNutcBNusBTyMakhFh/41F3s9/igc1v9nGPXtkQzi2fsWOPuuiq47KiOQWhpaVVPXjHefhAXbo8ph+zqtbvulUPu++ZYxH1raWlpOcoqViDjM+w8eTfxhiqgsh3rdYpnyOeasObHNu5bS0tLy15WsQIZnzGZAnY9xeYf3HWxcWlPN3GJ0X5g91MshRSElSfOKRjpBX52LnD7R4Cfn+eO2eQmbmLXNlU8IxwrxjP4uZMp1uZsmmHNsz4x5j6kBwgtLa3qyiqmIG5v62bb+ZKe8tKeTnGJh69n2xItbDsvj2vdrcD+jcDBV9i6D26YTW7jJnaIbh7PmJOHfA7tN/dNkBhzj9IxCC0trdqVXx8+iCVKxXJLKc8uRmAXowDKFjfRMQgtLa2alKdVGLkPH4qr98tLewLM4ulYzOYVyIhwrrCACj/5PPN+eYnRwjKk/C1TeOvksYAVHuImXDLWWzxHrrMKcyP0AKGlpVVReVqFscA0UpFTJbYR17pbGVp7YLu0FKignIAKH9xn3i/znxo7gYEdAM3ly8sJbcjHArpk7LiLGIGI9ZbPkeusAotJW0xaWloVka9VGO2sndkfMSK/g7KVAMY/6lzsvlwSAr51RI0Gv/w+8/FWZZIwW5LUDif+rSP+rkksptq470pIDxBaWseO+oZT+Ncn3sDvX+9FaiKHRDSECxd24uuXnGK90JYXHLfVsR+6CXjmh+btZ94EPK3YLpetwpMDpSG43eLCvWLIXUrHILS0tGpK8iqMTZOH8JW9N6EdNpA7pxXd3BzbtZhhLCbHgXDcOpXWDm+x+6kiMpxm84ODoj1usRhO1+XlussoPUBoaWlVTAOjaVx1xiw8cuOZ+NH0NZg19qozMsIuTdTtsT3Psd/dF1un0lrhLdbdakSG2yG4vWAxnK7Ly3WXSdpi0tLSqqwqib3wWpebeIMX3IfbeissbTFpaWnVpiqJvfBal3w8CRdjDp5wHwmgeaY6ffUYkh4gtLS0Kiu//rofzLXbunjZIMbj7eINtvVkGEYjVzksRjmkBwgtLa3Ky4+/7hdz7aYusWzVcqh+4h8VxmKUQzoGoaWlVdsqZ8yiWhjwKkvHILS0tN4dKmfMoloY8GNEeoDQ0tKqXY30Ag9dC4QiRey1jOouReWcb1DBpUHLJT1AaGlp1a54bKDnWSP2Okg/v1zzDSq4NGi5pGMQWlpatSe/8xFqQcdAXCOwGAQhZAYh5B8JIY8SQjYQQp4ihPyEEHIJIUR/A9HS0gpeMgbb7XwEUdWweEZ6gc5Tge5Lvcc1atCSsn2DJ4TcBeBOABkA3wVwBYAbAawBcBGApwkhHyl3I7W0tI4zyRhst/MRRFXD4ll3K7B/E3Bou/e4Rg1aUrYWEyFkEaV0i83+GICZlNId5Wick7TFpKX1LpOdtdQyi6Gz7TDadmWU0+KxqjMcA06/uubaG4jFpBocCCFTCCGn5vdnrAYHQsidhJA+QoiqjH8khFBCSKuw7WZCyA5CyFuEkAudGq6lpfUulFXa6T9sA77yKiOwLv936zdbuzLKmbpqVedXttRme13KVQyBEPInQkgTIWQqgFcA3EUI+XeH0+4Gs6Hksk4EcD6AHmHbAgCXA1iYP+cnhKiWgdLS0no3yHLZ0SDSTsuVumoXI5DrnEwBr/8K6HuDndP7mvtzawjL4TbI3EwpHQbwSQB3UUrfD0CxkGtRlNKnABxW7PoBgK8CEL2tjwN4gFKappTuArADwFKXbdPS0jrGZLvsaBBpp+VIXXWKEYh1JpqB3ATw39ewc355vftzawjL4SrNlRDyGoALAPwngK9TSjcQQl6llJ7qcN5sAI9TShflX/85gHMppTcRQnYDWEIpHSCE3AbgeUrpvfnj7gDwJKX0IbvydQxCS+vYkq9lR6stLzGClc3uyqxyymvQqI1/AfA7ADvyg8McAC5WHDc0qB7A1wF8U7VbsU05chFCbiCEbCSEbOzv7/fSBC0trSpr/VfPwZ+fNh2JKHvrSURD+Php07H+a+dUuWU28hIjWLEeaD7RuqxwombiC27kaoCglP43pfRUSumN+dc7KaV/4bGukwC8B8Ar+W8PMwC8RAjpBLAPgNirMwAcsGjLTymlSyilS9ra2jw2QUtLq5qSlx1NT+bQGI9Yr0ldCbmZfyAuOZpNAyQCPPTZ4jkHXwW+cyJAQgzzrRIJM/y31/hCFedHuA1Sv4cQ8u+EkIcJIb/mP14qopS+Riltp5TOppTOBhsU3kcp7QXwawCXE0LihJD3AJgL4EWP16KlpXUMSFx29KozZqF/1MVKbOWUU2xBXnL0/dcy9Id4zsOfB9LDwC+vA1JDQNt8YPr7gEQLEIqy17PO9BdfqOL8CLcxiFcA3AHgNQAFA5FSus7mnPsBLAPQCuAdAN+ilN4h7N+NfAwi//rrAD4HYBLAVyilTzq1S8cgtLS0fMsptuB2GVErrRzyfy5Q1vkRQccgUpTSVZTS/6GUruM/didQSq+glHZRSqOU0hni4JDfP5sPDvnXt1BKT6KUdrsZHI4FWabyHcfSfaJVkpzsFnG/07FOsQXV/vnLgfkCRiMcL/7N1TIT+MIz3tvutX0VkNsB4oeEkG8RQj5ICHkf/ylry94Fsk3lO06l+0SrJLmxg/h+p2Od5h+o9ic7gIa24rbcBJDLGsuN1gOdi7y33Wv7KiC3FtN3AFwN4G0ULSZKKf1oGdvmqFq1mI7JVL4yS/eJVkkKwg5SWTMPXMXe9Jdcq0Z4qPYDbNvmXwDZCXVdor1UilXk1D6fcmsxuR0g3gRwKqU0U3LLAlStDhB9wyn86xNv4Pev9yI1kUMiGsKFCzvx9UtOqW62RhWl+0SrJI30Ar/7BvDm48DkOLNbTlkOXHAL+0Qt7+cgBpo1H1upNnk9roIKOgbxCoCW0pp0/KhWUvlqye+vlT4B7PtF3Ffu/qv0/aml58GzRLslHGdvtKGItR0k0l8nU8Cup4JtT2Glu7A7C0hOk60RlIaT3A4QHQDeJIT8zm+a6/GmWkjlqzW/vxb6BLDvF3Ffufuv0ven1p4Hz+I4iu68JbnnWfX+69cw8mvLLPY3X4EuyDTRwkp3zzkjMlRpsjWC0nCSW4vpbNV2p0ymcqtWLaZqS/v9atn1CwDlPvm4IPqv0vfnXfM8ePXyy5Em6qXMGl5ZLhCLiRBCADYQqH7EY7RqR8ckzqACsusXeV+IAOH8kx10/1X6/rxrngevaZ/lSBP1UmYNpKmWKieL6X8IIV8ihMwUNxJCYoSQjxJC/hPANeVrXnUke7V2vrRXX9et/+23DKA8fn85/OtK+v2Afb/I+3IUyFK47j8v7bdqByjK0gd2113TcQl53oBV2ieoen5BKWmiVnMWVGVy7AZHevPfIOzYyRT7ezJVfux4wHIaIC4CkAVwPyHkACFkKyFkJxio7woAP6CU3l3mNlZcsldr50t79XXd+t9+y+AK2u8vh39dSb+fy65fxH0nTqnDiVPqXPef1/ar2lHOPrC67pqOS6jmDaiw2HbzC/xitL2UybEbHOktor3H+ljsASjGQkpVBdEbrmIQAEAIiYJhM8YppYNlbZVLBR2DsPJqvcjK1/Xjf8tlVcNLLkedbvr5WPHHg+ifd8t9DUxuvftajTE4yW/7ArzeoNNcQSmdoJQerJXBoRySvdp4hOCElrrCm3iYMG+a7Qvl97ENTr6uF//bqqxqeMnlqLOSfn+5FUT/vFvua2By693XTIzBwnoMxRn6m+8vtX1ViGm4HiCOB5m9WopDY+nC6ywFcnlfOpPNoT4WRiZLXfnUXvzv1EQOz719yFUZquOA4GIGTvEMtzEZcXupfn85r9drWUHEe9yU4ef67M6ppXkpSonzBiZTwK71bLvovzd2snkIk+NsboRTTMKNvMQtCsdmihPzuEgYoBNAtIHt52VlJ4DblgC9W8rbtoCkBwhJolc7tz2J1EQOc9uTSl96aHzCk8/v1v+e255E30ha6QsbjmuzPi5Ib9mu3W5jMvL2Uvx+lYK83iDiCV7lVIaf63M6p1bmpZgkzxto6wZGe9V8pZ7n2O/ui93FJNzIS9yCHzvrTIb0rptmRHunBo1l7VhTxIKXu20ByDYGQQj5PaX0grK2oASVax5EtfxZt/UGEc8oV1vdqhbnFNSiL++nTbV4Ha5UKl7bSjUw78B2KdJSseA+FFQM4rhcsk3lz160sAOndDUFlg6o+vq//qvn4MKFHYU4h59YxPqvnoMLFnaA2JTRN5zCJ378DC778TOe0235vkdu/BD+/LTphUHJKibzxJfPMrSVEODChR22XjevY+uBIUdbRdUXFy7swILpTa7OdyqrXL68W8vI7vqszrW7Di9966atfq0903kjvUDHYgmlnTB6+ER4u5L3gQCzPwLUTbX3/Ed6gR9/APj2FGBnCfN8vWDFAfVSpC0zgc88Ghy+vAxyGiCaCSGftPqpSAurIJU/+3b/GF7ZNxhYOqDq6397UwI7+8eQoyxoa+ULO8UzdvWPgVIW/FWVsWrtdmzeO4iX96qvx00q7uoXegptAFg9qpjMgunNheNCBKAU2Nk/Zut18zpueuBlR1tF1Rc7+8fw8t5BV+e77deg5dYysrs+q3PtrsNL37ppq19rz3TeuluBAy8BA9sFlHbG6OFT4VuRuI+EAVCg91Vg/LA982jdrUD/G6ysBz/jqc0GecGKA0DXqealSKP1wNZfB4cvL4OcLKZDAB4FoJotTSmlnytXw9yonKiNFfdsRFtjAv+1oQcTWXMf+f267tWaCRFg53cusWzflUtnYvWLPegfSeFPb/Ury+Zl2NXtZE9Z7VPV9fiXPlxo0+1XL8Gcm3+DnOIxc2udWR3P5XSvnM5XlSX26+1XO34Tdy0/9o+fZ1G+jtUv7FHeA7syymFlymW+Gb8GCaJAZoejwOmfAd78DYs/+BEJAd0fY3hsJ/vKrc3jFysOAN/rBupagLO/xkB/dueWUo8LBYL7JoRsppSe7qsFFVAlWExBY6qtylvxkTn4j6d2llSPU1v7hlP450e3YM3Wd8DfZ0IEOH9BB/73ZYsACsvz5X3xSAityTgGRlNIT1Lb9rrtQ37c77YcRHqy+FzGIyFctMi5L0o9vxIq5XkK4lwvfWNXn92z4uYe8fNOjA7hBy0P4f3jz4JYobAPvgo8cCV4Dd2MAAAgAElEQVQwtLdYUMtM4NIfAZvvBd58LD9bOa9wAlhwqbGMkV7goeuBPeuNDYrUAVf+FzBHiZszKyiseJXx5YHPg3g3yipFU/Znn9k+gNREDrEwCQSL8PzbhwpvsiorJhYmSE3kECEk8HTJzT2DED+E5ijQlowX7KmJyRxSEzlEQ0Z7qr0pgQhh7QLYPpYCbLSU5H7pG07hi/dvRoQQR+uGtz+TpYU4TJgAmaw7q0d1PuD+fJW2HhjC4m/9DlsPDrnabidVX6QmcnjitYPY1jti6jc5TiTeA/6MWKU5y1L1TQjsPsrPGf8/AIHymQQFVtyzCc9s7zfc0zAhuOEXm/CJnzyjTHvm1z+Zf8ZiYYJ9k83IxpIg3FZSobmt7JmTlpnTTEmY2U+ytdTYCbTONXdMJF4cHGSPX+X522HFvaSd2qWsFlDikdLrKVFOA8SAw/5jWlYpmqI/u2rtdhwaY+sknbegs2Qswqq129E3ki6kzorphTzt8LwFnQCAF3cf9nxNTimpfSNpNMTCuGRxFy5Z3IUTp9QZjnlqWz8AoKul3nT+BqE9zYmIIQXYql/46w27D7tKqeTt/8CcaZjXkcTSOVM9pWCK5zcnIgCAuW1J3ymcNz3wMkbSk7jp/pddbbeTqi+aExFMZCluvO8lU7+p4kT8Hpy3oNM2HVoluW/bmuIAzM+ZeA9VzyRv26GxCcxtK97/DbsP4+W9g9jcM6hMe+Z/r8s/Y/z/KTp+qJi6aYXmTg2x9NFP3cV+j+fn68pppjy9VJX+OdbHbKdYI3DCn7E34Inx4n7Z47fy/K2w4l7TTq1SVgso8WeDqacEOVlML1FKa3btab8WUxBIDVlevVfVeeVKT3RT7ux/+o3l+fwTYhCqRKplEP1o1x9W2v1v5liRXXuCltvrq1R73CoeCeGtxDXVQ2O7Ta8td1sqiAcPymJqeTdmMVkhNWJhYyw+JIXmwwRY1t2GCxZ2eE6FdJNCWa40SzflPvHls3BCS53hvBktdXjiprMK6bdhRapCPKJOZ/WKIglSQfSjVX/cdsVplv3kpT3L5rWiszluOjYWJuhqThj+MUMEWDavFRcKz52IffF6fVb9I99DnlIr1iv/T/C2LZvXatgXIkBnc6Jw/0PEfG48QortriYa21R3AmieyWIZlWxLDeLBHdNcASwHcKniZ3l5m1Y+cT82NZEDAZCepKiPhTGRE/xZAlPWR5YC9bEw2pJxg/caCRF8cfVmQzzCyXtV+fBOGOitB4Zw2Y+fwfIfrTf4vHJ9Kj339oAloqNvOIWVj201DZDRMMGCrma0NyXQmoxDTqAJgfn7z719CK2N8aI/nkeR8BgFUaTbBo2OEI/54v2bEQmRwv218ur7hlO47MfP4MIfrMPCb/22EE+w7I9ICL94vgexiHF7/0gK/+u/XzXdEy45fpOayGHGlHrURcKmYzNZimQ8AvHzfY4C9bEINvcMFsoQsS9e03GtnrPWZNwUH2tLxtEqPO/y/0SOAjOm1GNqQ9ywL0dRiHnw1zx9G2D/X5ksLbZb9uRFvAbgfg6A1XF255viARkW48hlSvP8vc5bcIPSqPBcCKcBYg+l9HOU0msVP1VNcS1VA6MsDgAAc9uTBWxGW5J9qmtLxnHilDrURUNIxor/yOve6jf5/C/uOmyKR7jxXlW+uB0G+qYHXsbLewexZf+wweeV65O1au129I9kCn6xjOjg5x4cTmFeRxJnnTwNAHBwuPhmNzCaxolT6nDJ4i7U5T9NtjXFDWVxf/z8+e2Y28YwJc2JCCg1xwHKgY4Qj9mw63Dh/jYlIkqvftXa7Xh57yDeemcUY+lsIZ7Ay+gdTqG5LgICoLkugt6hcbZ9iPdTKwAgnaV4/YD5nogS4zdNiQj6R9PoHTYPJvxZPHFKHWZOLQZm123rR99I2jBoNcTCvjEZVs+ZKj4mY1HqoiFTDItf38yp9YXtQ+MsRiG2d+mcqZjXkcQH5kwzt1v05EW8BuB+DoDVcU7ny/EAGZHhx/P3M2/BCaVR4bkQx2Waa1AebKnevN+4hduyAXdzF9yU9da/XlxW77pUdERN+upl7jO5Lr8qJWbj5/psy/UbD/CK6ShnPKHaGHIXCioGcbVF4WFCyFWeW1UjskJpyLGFZd1tmFofM53f3hgvePNuPFtb79VFO/mbvayQQ0zECV9ufm0fN5DLE31wEdltd80qn9upL/zEb5zacMHCDuXsz0QkVPiULl6TEfVO0NkcN5XPz7lIQIms/+o5WDav1XRcPEyU9fN7umxeqzLmI2tZd1tFYlRez+V9LPZRWOobpfzGA6z8+y88XXlfv9oY8gDlNED0EEJuJoTcRgi5gDB9CcBOAH9Z1paVUaIHGw0xT3hiMoeX8x4vz/muj4ZxdGLSdH5zXRQLuhh8i3u2/JyNu4+ggeeO5z1b2XtNT1JTDMCKj/Pc2wPIZHPKN6McZQFSHhOR50+I1xnL48tjEYJM1vzaDcJc9q5FH5wju2NhUrhmcfDgfrM438MuhiPfLzH/3y5+wz16ud8B1u+8DW3JOFTfncNhgokcNVwTIZBQ7xR10bByZnKOAq3JeCFuBAKcMKXedFw8GlbWz+/pCVPqTTEflbYeGHZxjPOcjae39xtiJG7mV4jxnjSfHzORM/Sx2EfZfN/YxkpKiQeIiHB+XEObervqfD/xC1fXEMC8hSqgvgHnAeIeAN0AXgNwPYDfA/gUgI9TSj9e1paVWdxX7Wph/7zrtvcX/Fee871uW/GfBgDqoiGECTA0ztAAomfLzzk0lsGGXSzP/fz57QDM3qucv27FxxFjBzw2EiLArKn16GiMF/xfu/kTfB9vS+9QSvnaLcLcCtPdkI/TnLegE5H8yBALh5R+s5sYjiwx/98ufsPnPkRCwIlT6rB0ztTifIj2pKENJ05h357EL2hj6azh+hpiYVDK7qGIJO8dYoNZIhJCXZT9iPdEnksgDlSREJCazBX8fIANZPI95TGfjqY4GmLhwjeOeCSEWVPrECZwNQ/Cac7GqrXbcXisiLuwitmozuPxnqZ8H/P4itjHVnNuLOUnHiAjwkX0t2q7Sn7jF26uIYh5CxVGfQPOMYjXKKWL83+HwSbOzaSUjpS9ZS5UCmrDT557Lcnt/AnAXRyi3Gwp1RyBIOeGeLmf5YgPBFWmFyaS07l2fbL73+zZXHbllnLPA1cQsYdail9USEHFIAofKyilWQC73A4OhJA7CSF9hJAtwrb/TQh5lRDyMiHk94SQ6cK+mwkhOwghbxFCLnRTRylS5blzqewcgP2jTGuI4UdXnIapDbHCG7AqN7yzKWHy8p/48lkGnDf3/OV0ylgYhtiA6KdzXPYjN36oYEc9cuOHDO3h7Xzkbz9k8ohjYWYDiXGNc+a1GspzIxn7zcuX1dWUwBM3nVVIKf3ET57B09v7sfCbv8V7Whtw9rzWwifjWJjgwoUdmNuexPJV63HZj58RsOLFPhJx4bwd91631HQ/u5oTWDav1RQjmtueLJStig9EwwQ/uvI089yF7jbURUNoSkQK/Sfjy2VkezwSQmdzwhBvIAA+OGcqptRHC+XwuRHhEMHyH603YeDFWBQBf77sYwZ2c1t4uXKcQFQsTEyYcP68TamPKmMoch2e5CeF08qbX+Eh9hBEGUFcSznKKFFOA8R7CSHD+Z8RAKfyvwkhTubn3QAukrb9H0rpqZTS0wA8DuCbAEAIWQDgcgAL8+f8JP+NpWxaML0Z9TF1FaJ/zsXx24fGMli1dgcOj2Vsc8MbExEl+lrEeXPPfyJHDf9sEzk234J/ShM9fY7LXv1CT8HCWP1CT6E9QLGdq5/vMcUNMlkWDxA/AW7qGTSU50Yq7LcqmD6WmcSCruZCSunmnkHceN9LGMtk8WbvCDb3DBa8+EyWYmf/GLYcGMaWA8N4ee+gUH6xk0VcOG/Hb7f0mu5nMh7BCVPqTahssWxVfGAiS/HC24dNsZKX9hzB+EQOw6lJS3y5jGznHCjxEaEABkYzOHJ0wlh+zyCOZrLYsn/YhIEX0eoUwNHMZCF2ZDUPQvWM18XChfhZe1PCFCcQJc5TEC2z1S/04MjRCVBAGUgX6/AkP1aOlTfftdjH0qEllBHEtZSjjBJlazGVXDghswE8TildpNh3M5hd9Tf5v0Ep/U5+3+8ArKSUPmdXfqk016W3rEHfiPqrJSF5z3okjSNHFThiSXXRED46nz04r+4bRHoyhwsWdrrGLZdTIQIQEGQ93Gsry8nKXuCY74+tWm/aV2nddsXpWPXH7Rg8OoHTZ7a4QoFbSTVhspJysgmjYYK/+rOZlljypbesQUt9FF/+6NxCn7z49fMK+1fcsxFbDwwjk83hneHSVnMT+12sw1GlpnA+cBWQ7ACWXAtsvIt585ffZ729XGUEcS1BleGgQHDfATRiNqQBghByC4DPABgCcA6ltJ8QchuA5yml9+aPuQPAk5TShxRl3gDgBgCYOXPm+/fs2VNSG90glIuo5F7DP2o8QnDRoq6SUM0qzPfZ89hCfjxILqO12Rs+ywoJE/aJ0mq9BY5ylvHMVnLCNrtBihux4ART6uPoG0n5fqNtb4xhYDRTOD9EgI/MbUU8Gi70kZt2+0WdD4yk8bn/3IDeIeM/LR88nJDtn37/DHztl69h/+C4qV2JaAgfeM9UbD04jL6RjGHfOfNa8d1PvxegwDfybed9EM63/V8uWxQYwlx1b5fNa0MODOKYmsiZBkyxD323wwl9fSwpiGupQH/ULO6bUvp1SumJAO4D8MX8ZpWdqXw7oZT+lFK6hFK6pK2t9BVR3SCyi6jknBIVIKMwVBgMK+R1azJeSDHkaaqb9hzBxt2HC6mr6ckc9g+OIz1JEQmhkH4ppprK4qvJPb19AAMjaVP9KsnXb4W2kLEddqmwmSxFYyJS0qfw4dSkCeMwY0q9AQFhh2Hn/d8Qj9iizsV281TPgZE0/p9HtuDImPlbpIi6iIQIVj621XSPIyGC7/9+GwYU2Tv8mBlT6tFcZ55v8+r+Ydzwi00YGE1jc88RU8roht1HLPvMDmUvP6Mi3lvEpXDbKxkr9ovKTn1x52Gc870/mdJoVc+PJS6Fp6KG4+xNMTsB/NdVwH98BPj5ee6W3PTi2auODcLzd0pHdVNHlVJaVarmehCrAfxF/u99AMQFW2cAOFCphtghsuVjVKgAGYVhhcFQIa/FFEOOcB4YzRRQyjx1lSsRZZ4yxyzwVEyuEAFDOefTYg+NZQrps2L9fKA76+RWNMTCqIuGTNevQlvI2A6nVFieOpuUvHBxkOJtIfn2dzTGWSpvPr0zNZFTIsrtsCTK/t912DbtUiyPpyLze8re7IEPn9yKZNx4D8RUXfkev7jrMDbnz+dXTABTfw+NT0Aetw+NZQpLp/aPZJCMhQ34jUNjGcuYkR3K3g7JLeNS+kbShms6cUpd4X7NnFqPhlgYR8YnDKgSqzZYbTOkonbnbc0da4B9G4DeV9hvN0tuevHsVccG5fnbpaO6raMKKa0qVdRiIoTMpZRuz//9JQBnU0o/RQhZCDZgLAUwHcBaAHPzmVOWqsSKcnbym9IYJAYjKPnFVpQDF+JnScug2lxpZIeXdFM7VRLtEZQslxt1K6flOUtNaQ0ynbWCKG83qrrFRAi5H8BzALoJIfsIIdcB+DdCyBZCyKsALgBwEwBQSl8H8CCArQB+C+BvnQaHWpAdCsMJDe6UYuikWJilV35wzlTTvniEKMuNR8woELfYcRWKxC0u5GxFKimXiLOww4Q41RdUm+3uaYiw1FkxfdmqP3lKsxUuQ043VaXbulFIkWZrh1cxnAugqzle2GeFTrHCgauesa7mBO69bqmre3HL3AeQmv/JYhopCcP2LYknNsrppl4wFKpj5y8H5l9aXoxFDaK83ahsAwSl9ApKaRelNEopnUEpvYNS+heU0kX5VNdLKaX7heNvoZSeRCntppQ+Wa52WcnKs7V6DahjE1zZPDIhGYsYEBET2RzO/d46bOsbwcs9g769+UyW+edzBFomVzyixkCo8M0yVsGAT5jMgRCGXpC9aPE8GW0u9lN7UwIzFKmkQBHLkaXm+IcqNiTXt/XAUGFZTnF5TH58azJuQrPLCAmOoXh6e79pmU1ZOcpSZ8X05c09gwW0ipzSrEKkcw2MpRmSI99HqnRbUVb/qGIchZclx4AYPsX8jOYAJOPRQrosj2eJ90VEtRcwKQLORFYyHsG8jkbTMr0N8UgBZcP7iTZ0IBGLsZhDOM6W1ESuOBDI4ktuyihwL569eCyPd8QbGZKjXJ5/YQnRcE3EFbwovHLlymq3wbd++tOfrrzhhhsCKes7T7yB377ei/F0Fh89pcPxNdeDG/fiA3NaUR8PY/BoBlMaYlg2rx2piSwa4hG8sncQw6lJXLioC2e8Zxp+u6UXo5ks1mx9B4ePTqAhFkZXM0MjhwkQz2e+zOtoxL4jR5GjbD2FumgIk8J/5Nz2JOLREI5mstg/OI5ElL0ZRELsHzsRCWEiS/MoB4ocNZ7zgTmtuOWyxXhx12HsPTKO8YzxOkdTk+hoTODQWAbNiQgOH53AaHoSl773BNN5L+w6XOgb8W/eTw9u3IsDg+M4oaUOp57QjP1HjiIRDeHcUzqxvW8UDbEwfvk3Z4IQgv7RNC5973RD395y2WJs2HUYPVJ9L+46jNcPDqN3OIXxTBYDo+nC8bws8VrFMnjbrvzZCzg4nMKaN97BrkNjGE+zckKE4PBYBpEQQVtjvHBPxzJZfOL0GYbyRlPFfhGv4cGNe5GZzOHDc9vQc/goCCgWndDEyklnDe0Q+ygSIhifYF+g66IhJKIhtDTEMJbOIkyA9qY4WhtiSETDmFofQ0M8Uugzud8IIdh6YBifOH2G8hkVr+epbf1orovigye1YnvfaCEhYl57ErFoqHBN/SPpQkwGYLGIU09oxqHRNHKUxXJe2MViGfy5f3bHAA4OpTC3PYm7r11a7KfeH7PlRE+5lC3/mWgBOhcDRw8BIEDLTCBaB+SyQNMJwGceBfY8CwzuBiaOAvPyc2o33wPMPgtY/gP2evQdYNFfQCl+bPMJQP+bQHoEiCfdn+9Vf/gmy0hKD7Myy1GHR337298+uHLlyp86HVfWGES5FUQMopQ4QjlR3X5xC27LByoTA/FyLUFcd7n6LoilYYPElpdj6dZS+slrLMUy/mDnyQfl41cqHlBjcQdRVY9BHCsye7ZG5LXs4fpdYjQeCaEuav7qLGI07Mp2u0yk3H63Hr/qPPnhUMUwnHxrL9fi5lixPrkfL7RASSuX/OxuQ2eTOW8/GoLj/faLx/aDLa/k0q1W8ReOSVfhTORYihx3scLOjH5hk3dPPigfv1LxgGM07iDquB8gRJR0NO+XxvLeLfdwD42lDViDzCSLI3DfWoxTWHnimSwrXxbHaMTyvn4kRApzED7x42ewfNV6XLJqPVbcu6mQY0/A4gJP7xhAa2O8iPTm7Q8TpCcZvsOtx5/J5hAL5xHgHNkttDOUx0Yk4xG81HPEhPzmaPNs/m+V3y/2Oa9b9LhVcxjE+8MnB6pQKAxtYcSGi/n9Yh9xlPvguHFiGgBMUhQ8e6t5Iap4h2o5VRnfbnXd4nlfvH8zRlMTBf/eCcEehOTrsprvM6+jEYfGjJ+IOVbDbq6JiJ1JTbC5Odc/vA9HQ/XePHk/8wNU8w5KmWfgda5EqajxKuu4HyCAIkq6q5n90/UOjRfz4fNLZ4p5/09t68dIehI33veSKdd8895BvLx3sIB5FnPiU5O5AnqadzzHSHP89ot575aXteXAcGE5yw27D2NuW7Iwg/DQaMZQD58zcXA4VVhuU8ZUW+X9X3XGLPQOs5m+5y3oNMytAFgglOf1i/MgOPKbtx8w5tBb5ekPjKbZtQjLkVotKcrvDxWu5wNzpqEhFkZHY7wwN2Ddtn5l7r+qj/gM7Oa6CN47oxnNdRFMqY/aIs9V5an61QrfbnXd8nlPbRsAwD55u0GwlyrVdVnN9+EDFwA0JyIG9D2fa8KfnZlT6wtLj4rzS/j8jl17dnnP9fc6P8Bq3oHfeQZe51qUihqvso7rGEQll4Osdn56tXP/g14eNOg4SqlLntodF4TKgc6u1HU53atyxFMC9/+DmGtR6rEBSscgXMjOc/3gSVMRJqTwaYnjmDub48qy2hvjBl4I98Q5RluFreaKhgn4B3a75SxVCgFYNq/VMi7Ac9BP6WqyRB5w75gItoKpHoWXfOHCDiya3oSz57Uqkef8OBkZLSPCZZ+dI7RVy1YCjFEkxlHk+xcLE1McaUpdFMu620z9L6LRRcn9I88tUJ3j5OHL8SIA+NBJ0wrbVXMVZrTU4d7rlyoRLk6SU3jlc63mjsjPil0/y/Mb7GJey+YZ0Th2caOSLZebXmXzG0i+zW78f7FOuf5S51p4Pfb6tcb6q2RBHdcDhB1j6fX9w8hSavB+Z0ypR2M8qiwrNZE1wKN4fjrHaHNsdSZLi2s75I+dyFJkssXlLBvjUdfzI3Iwc4nE5THTkzm83T+GV/ap8R+r1mwvIKr5l0mrpTRlhPnO/jG8fnAYBwbNIL6cIu5hhQgXfXYRoa1athIA9g2mTHEUrhABJnJU8u0pjoxPYP+RcUP/iwj31c/3GOqQ+8cYc6DKc8TnSRyGVMutcm3YfbiwXT4PYB7/b1/rVSJcnMRXkpOtULm9YixF9axYzffJZKlproldzEuGFcpzOAwq1XJp7AQGdgA0P6/CTZxBrFOu3+9cC7/HbrzLWH+VLKjj2mICGO64rTGBt/tHcGg0g23vjFoee+HCDmzuGURLfdT2ODuFCUGOUjWJML9/WpIt/rP3iJn+yTVraj1Sk1nEwiEsmN4EAGhrTODKpTOx4h7WJ73DKV+Ia2M9dUhN8gA2Q5h7QWfzN2PVoBMmBI996SysfrEH9z6/x/J8r5MJQ4StfXxoNKNEnBNYkCAdyrRCposWyZybf2MJT9z5nUtsV3kLE/dIdjtbxml1PfFc/vxb3VN+7Ip7NuIPAk1WVIgAV54xy/Ds3X71Eqx+sQf9Iyn86a1+S3uJ90tB5cRlkxDwLQXg0A1+IxIHTj6/dHy407G3f4QNak4q0YKqCdx3uVUOFtPWA0P4/C82GT7tzGipw0+veb9hERQZjSxit1WYZBEf7Rbf7AZFbic3+OZ4hGBKQwx9w2kDTtsO4eymXPl63SLVVcdYnW+F17ZCj5daZqnX0d6YwNPb+/H5X2wqTIQDgLpoGD+75v2Y194oodJDmNIQwztDqcKA5gbzrXqGAYZnuXjxdOXz4wV77/V57BtOuceVVwOXLR/PZ3LTbOXR46a2J4CGdmC0D8imAmuPjkG4lIyJWPnYVtMSoNFwCCt/vdWAkpBTHWVbR0ZTyOmJKnxzazJuSvXkaG2eBvv0jgHldXC/WUQuqyyE1mTcgP9QWVryV38VPsMJayGiOMTjeZpphBDTm0oBzyCgsr+4erMxTTVf9kQ2Z8Brq8oVU2QBmCwPVaqqaAPZpQar0lSt+kY85qy5bQhL/3XRMMFZJ7cpU4/rIiHDt50sBV7qGcTASLqQSnvJqvVY+K3fYuvBoeIzrIh1TeRgmSJr1e6BkTSLY+zoVyLrrVKZ5bJlq5A/76a2uLFn3PjxbtNLVXXSbB77QVgZfur3K7ktk2lgrN+IBglFKoboOO4HCNFr5n/3DqcwryOJ2644HfM6kugdHjcdI6c68nRPnhorY5LldMn+EYZxAICZ+XPlVE8Rrc3TSHlqqyzuN8vIZVU6Jk8bPW9BZyGN0g6DrUo/VZWrwmXzc+Q00xfzbRDrODTG5iWcP7/dgNAW+5r3w7q3+g14batyNwiv5bRSq1RVuxRWuzRVp3K5jmaK3x5iYYKUYL/I5x4cZoPyzKn1uGRxFxpi4QKGnKfSvn5guIDbLjzDQ+wZPnVGE5rrIpiaT+G1S5FVtbsQx7j3JRPO3CmVWS67kP4qPO9KOaWgusF+u00vVdXZMguI5Rlnbd3e6y9VYlvautmgIKLQ9zxbnnoVOm4tpqBSEr0gGIJOg+Sf4qwkp0Z6RUT4QUpUO53XjfymVfpFbDidryqjHM+nFznFMbzUVWq/FeQUnyj3cp9A5VJS3cZFfNarLSYH2SEcrDAWqmO8IBiK6YLmVEtbhIXU9jABLsqnBz7x5bNs8Qd21+wHoe0Wl+2EBLHDYhdTaovH8v5xSml1KtcyrdKF/CI2xPPltF3xXtrVxVOBZfvTSqUiOVTPFW+HV4x6qf1WkFP6aBBoC7syKonOkOsiYWvceRl13A4Qsucqoo65/9qajBt8cTnO4MZ/5j66GFPIZGmh4znCoi0ZR0M+NiAiJeKREOTPXlkKNMQj+OLqzWhtjJveNChoIWZidc1WsQAx3uBmOVa354jevogVUWGxiym1xTI4plyVknxoLF1AhPBrsio3aeHBWy6FafPMeMVe2HnxYuxJtUQtQ6EQw7NjJRnbYier614wvRn1MTM7LJNVY9RVqBE5ZsWf7dSET1yIU3wiiKU6TTGAPFp8tC+P7I54L99ufoXVcVZxkQqjwo/bAQIweq7cH+W+PI8HiL64GGdwWppUXopSjim0NbGvrBxhIcYGRKQEj2/URUOGGIFYbm/ep67Lf7o+MJhS5r2L7bOLBYjnulmO1e05chyBY0UGRtOmGIgKL6HCQMxtz6NQ2pOmaxJ9b77kKa/T6Rqs5KY/nM5XxXtUsTA5hsXjEW1NcczrSGJKfRThEEOCf/jkVoQJ+3Qu96+d7K57aHwC8zqSmNbA1suOhYky3mSFGjEhRvL4l7nt6tiNKznFJ4JYqlOOAYz2Ag9fz+IOPc96L99ufoXVcXI7WmaxnwovQXrcxiC4gsBJB1Gu2/r8LuHpF3MRBILC7/F2CgL/YBcXKgv+QaEgsfBBYNRLwZqX63+pKnKKAYaWEsUAACAASURBVLjx/93GEYCK4zZ0DMKF+oZTWNDVZPJTl3W3oTkRMXjFIQuv2OorOsdXiLN2rbDYFy7swDIJV+HWmxZx4bJiYbiOk1jFCB658UMFzINMJ3VCNciptypffUp9FCe3Jz0hJHhZFwh4EBVe5IKFHcp4jyouxNvEMR+l4LTtVtiTjzulq8kWk2J3b5yeDS8Y9RBhS+Tye6dqm1yefG1eny1XfTzSC/zsXODn51mnlXpNO3VzPI8BhCS0TiRh9v+tyrtuDVDfCoTzVpoYRwBhy5yKsQ1+XFhRR5V0XA8Qq9Zux8v7BrGrf8zgp+4/Mo6h1KRpboAqb9vqKzrHVzAMtRRTkHAEbck4TphS7ypPXPbBOS5cNUao8t695v+vfqGngHmQ6aROqAY59VZ1/JGjE3j9wLAnhAQva1ceDxKS+leclyGjNTJZo/8ttknEfJSC01bZRarrW7V2O17ZN4idwvOninPZzc2Q+8RtjEQ8Npyfrf7SniOFe6dqm1yefG1+5pY4at2twP6NwL4N9mmtXtJO3RzPYwA54ZM9CQPZjNn/typv093A0YH8BDchjkDCAChwaDsrpxBvyH+IyCrmXlRJx6XFFMTXeruv34A1ufKJL39YiSMAgK0HhnHqjBYAwKv7BrFgehNuv9r8LZDjETjawArJESYE5y1oN5Uhns/rv/3qJYbtl/7oaUfsQzzCvm3ZoRpkXbiwwxLZwMt0sh3s7t8TX/6woU/bGhPY2T+KgdE0piVjOKmtsXC9XFZ4DK8WiJvnyu75iIZJYREj8dmQ7424XZbb4wDr61YpGib4qz+baYvOEJ8Hu2fLqV0A7O0Zv2mtQVBWSQjo/hjDZrixkEpRDVhMx+UAYYUMkDELMj6jVIyDW0RGUNdTSn0qPAJXPBLCRYvsMQyyRFxJ33AK/5wvm48pTniPcl5vUOXJ5TB+U36N8Co+H07t/d2WXhPwUNXuoBAwrjTSCzz+D8C2J/OzmsE+eXd/DLjk++zTdalIDbvj3RxrdcyHbgKe+aH77WfeBDyt2F5GvIeOQdjI6qtwazJeQFtYfd1XWRN8/0SWrTQ3MJZ2/Eqt8qat/Gqn7QOjaTz/9qFCOq7bFEenPlKRVGWbxmrVNlluVh7bLCAkyplualkeR3J4SMO0S/GVrUQRPcIRIGJaNShMWG+r1en8StVeOXXYishq6i+X/e8mhdikxk4g2V4cHAD2d7IdAGWeP4g5rTUUAR64Uh2zcEqDtUozDcfYG3d20vyGrUJ6dC1W18O3T6ZgwHh0WhxfAxbTcTlAAOp0RTENVcZnqFIa5TLWvdVf8Nyd0iFV3rSVX+20/aYHXkbfCEsj9JLi6KaPeEpmR1McDbEwls6Z6rjKGk83jYRQwJWoVh4T0z1lhES5001V5TXlV/trSkRcl2eX4qvCr/DjZNwJf/5krLfd6nR+ZNVeMXXYTzq3XX+5TSE2aayPpXYu/ASw4DL29+g7Rs9fTmvd86x9zMIuDdYqzbRpOnu94w/GsuyQHlb1jPWx4wEjxiOI9Nwy6Li0mGSVmupohyVwi7sol8qVSujlOkpZ/a0SqZBe7h9XtVeZCyo+Us7+DbxOPxgMvt/Oyw8qluC3njKvHqeStpg8qFQUQKm4Cxmz4QZPoUJ2iCmvpaIWnGSV4mqFYHBKgbRaha1c7Rfl5f5xuX1mVKvRMTSIsd/kVflCBOhsTkCezCyn6bpVYLiLatbphMHoXi6kkYL9zVNJ/ZR79a+A5hONx7bMBK5+1B9yo5KojoCkBwiU7mmrsATcc3dTF8dIqGIiPLYgIgqKK5AZUzh5yitHTjzx2kEMBLzAvd112CEYnFIgZR88PUkNcZRSvXi7uQle7p/d9YcJw6qIbTTgTfKr0cUixIARaU3GMUNKc85RFtOZyMGUpivjW1TXJvdT0HEbVb+66aOS6rSLIdjFLKwC1lZYC17uSecA0XrjeaEY8NR3/SE3eD2T+azDyfGaiTVYSQ8QeZXqaXMsgey5u63LKibSN1L0xkVEAT/+A3OmYV5HEkvnTDXgQpoSEUxkqQn/HaTcXofd8eJ27oO3JZllIMZRSvXineYmeLl/VtfD8RhyG2XESO9QStlvVrgR8R7L+Bara1P1U9BxG7luN31Ucp12Xr1VzEIlO6yFWG5qCGibD3zqLvZ7eL9/5AavJ8FS2ZFoqZlYg5V0DKIG5eRb+/W5rfz0WlGpGBG/ZZbqw/uNM5RjnkVQdfltS03jMwD/cYAg4gcrrb+RYuWQ9b4yqOoxCELInYSQPkLIFmHb/yGEvEkIeZUQ8gghpEXYdzMhZAch5C1CyIXlatexIDssuBufW5aTn14rsovP+I1RuMG6l+rDF++Xuo0loSZsroUjwPlzosKulCuWU42YRiDyGwcIIn6wYr06pvGFZ9yXUWGV02K6G8BF0rY/AFhEKT0VwDYANwMAIWQBgMsBLMyf8xNCiJk1HKC8zEOwO8/ptR8V89PtMRHy8dzrlRWNhApzEJy8aq9ye71u5nhYxWdCeew1VwjIL5Xq7GdbYd29zE9xui6O5hbjKACLo6hQE+JyrF6kWpK0PhZGJksN2BUjSr7YT0E8m/K8FzE+ZjX3RmZy9Q2nsHzVepzyzSdxyar1zu1RsY6s+EcjvWwOxM/PVbOW/CLBGzuBUJjFDcLx4nl8ToYbDlTXqeaYRrQe6FzkfG6VVLYBglL6FIDD0rbfU0on8y+fBzAj//fHATxAKU1TSncB2AFgabnaBnibh2B3ntNrv1LFGOw8XNHrrYuG0BAL48MnTQMA9A6Nm9oWVH692+t1O8dD5Vk/ta0fQBFw2NYU9+RnW81NcDs/xc11cTT30jlT0VxnHTNSLcfqRXL/iFh0HoPiOPAPzJlmOWfFr+R5L3Pbk4U1s63m3shMrlVrt2PLgWGMZ3LuOFwq1pEV/2jdrWwOxL6N1qwlv3MOep5jv7svLp7nlQMlxzTGB92dVyWVNQZBCJkN4HFKqWmIJIQ8BuC/KKX3EkJuA/A8pfTe/L47ADxJKX3Irnw/MQiv+ft+MdmqMiqlSnjV5ZoHIJ7vtOxlkH1bTrR1udHifpe69VKvn+v1umypqT2Vmp/gJC/tqMKcBj+qegzCToSQrwOYBHAf36Q4TDlyEUJuIIRsJIRs7O/v91y31/z9vuEUPvHjZ3ByexLL5rUVLB/Z/41HCLqa4wX8tIy+tpKd9SJjF9zqkRs/hGkNMUPbxNz7sIVXfeHCDiyY3mSyoFT4BycUNFcpCOh7r1uqxHaoMOalSjVfYVpDDI/87YcK1yyjrUWcezwSQpgAHzxpWqGfrdDi4n3xeh2q58XtUrdybIffazdSPVNdzXHT3A0Rla6aX6KyQAFg2bxWcz/IuOxIHTB/OZvbEOFo7DjQ0MrmJsxXzIM4+Tyg81T3KHCV5PhDOMEykBItRkR3fStw/R/N53vFkdeQKj5AEEKuAbAcwFW0+PVlHwAxejMDwAHV+ZTSn1JKl1BKl7S1tXmu32v+/qq127F57yBePzCMl3qOFPDdsv+byVKMpbOg+f0y+tpKdtaLjF1wq9Uv9ODQWAbpyWLbWFuNPjwX96p39o/h5b2DJgtKhX9wQkHb9bdbBPRvt/QioyDEqjDmpcrcTopDYxmsfr6ncM0y2lrEuacnc8hS4PX9Q4VP2tb8Lprf7y6OIkr1vDjNN1DtF++1G6meqWQ8apq70SYg6lXzS6wGiBlT6s39IOOys2kg2QE0tOV5RmDbxgaAN34NNCjmQQztA/Zvcm8BqWSKW6SA1CD7KbQtxdq68U7z+V5tqBpSRS0mQshFAP4dwNmU0n7huIUAVoPFHaYDWAtgLqXi3TbLb5qrCj0MwLBt9Qt7XKGQ//oDs1yjrku1rPymdIYJwbRkDBcs7HTdVi8SUdBeENRW2536xgpjXqpW3LMRa7b2OWLOvSoIq8fpXCecNt9vdf+9Wmn8mYpHQraI+qW3rEFLfRRf/uhcrPrjduw+dJR966DAlPooBvPzTT4yr614niVqO7+OAnX4v1lwGbD114BpNXf4t4AeuAp460njAGSnKq0U51ZVx30TQu4HsAxAK4B3AHwLLGspDoCncDxPKf1C/vivA/gcmPX0FUrpk051lHMehApJzRWPEFy0qMsS/R2PELQmExgYTSM9qcYh2yHH/7+12w2Y7XAehf0vDihsNxhm1TFnz2PfxNZt6zdhzkWFCNDRlMDhsTTSk7RsmOoihvpg4dM263czZjxome9lCK3JOAZGU4VrlvvLSl4Q8ZVCnHstpyJob1l2qG1Qtu+Nx4oL7ADsU/wplxYR2V5R4G7bZUKQh4DGLmDsUP7bhKKtFcR4u1XVYxCU0isopV2U0iildAal9A5K6cmU0hMppaflf74gHH8LpfQkSmm3m8EhKFl5/e1NCbQm46bBQU4d5MeKqOv0JEUsbMQpWCGTxTTBzGQOf3X784iEiKvV5VR+tIgrd4tqDhGCP77ZV8BPcwtKjlPkKJDI2wsywjpIqdJ8AbNlA5hTKK36xUpOfShbiamJHDb3DKLBJq0YUKfRDoym8eSrB5Ge8I6esLOR3C5xKpdDSLFPQWE4j/frC7sOuWqz6j7Ienp7P066+Td4/JX99vfHCakRbwRymWK8QbXSWwFrIaG1xTdmr7EBJc4jB8Ty7RGR4w99FkocuR+0RhVjGMc9asPO65dx18l42JQ6KB4roq57h804BVk8TRBgKZFPbWO48HVv9SMpeLcNsbDyfFWKrYgrd4tqfmpbPyayFE2JSKH9DTF2rcl4GB1NccycyvK3DwrXJSOsg5SY5qtKG+WSUyhV/WInN30oppLyFNUNuw6b0orPOpmlFYcJlP1/0wMvYyLH+tkPesIKW+F2iVOxnLltSVAKzG1LFrAu4nm8X//+wVdctVl1H2TdeN9LyFLg7x58xfn+OCE13n8tMOtMlio660x1uqoVWpvLT2xAhfNIDZqR41Y4cj9ojSrGMI5b1Iadz+0n7bCcaZJyWW7PdboOr2mIpdbnVXZ96jd11qlsq3P9LDHrJt2zFPyJH4xIEPhxsc1urq2S6coF+UGDlysd1m+5ZcSDV91iqnWt/+o5uEBIUwTYJ7+LhDQ9r+V5QQ844TFEye1yQi64xR6o0hC57NJR7dKCg5Rdn6ra3tWUwLLuNlft8tqHdm1xuvd+cOJ++scNRsQJPx6PhFAXVUMMVG12c233XrdUWWY0FHy6ckFOaPByYLeDLrcG8ODH7QChWlIzS4GGeMSAUhZlh9VwgzaWjy8sO2nhY8vtskpbzGSNsQ+3sQFVGiJgXCKztTFumRZswCwQf0uc2iFPxGVM5T5VtT2ZiOCEljrH1NsCHiNECteQnjTGGuQ+tLu/Tve+NRnHoTHjJ8FoJISVv97qC3Vi1T88dhTzkHacyRafGR43iyrmngBqBLodKp23c15no7JM23Rl0XeXPXg3nrxdDMKwnGicBZBDkdLiE2KdbmMOTnWo2rnzT+7bE4CO2wECgBKxLKOURTlhNbwuM8qXnTx/fjsS0RCS8SIeAwAuWdyFmVPYpwcZYyDXdXCYvcGct6DTU2xAxFwn42EkoiFTfMEK623ALOz2t8SpE/LErk9ViG43eGlx2VMxBmSINSj60A/KnNeXmsihOREptLV3aNw36sSqfzhq4/z57a6xLPKzc9UZs5CazGFeRxJNiQhiYYKmRMQWgT40PoHmuggIgOa6iGl52VVrtiM1mUNzXQTz2pOFNx1VTKkg0XeXPXi3nrxdDILHBrrz1taeZ63r9yIvMQc3dcjtHOuvaCziuI1ByPLjMauODSre4LaOoHHWbmIpQcRv/CJPSlGlcdlBz3UpBVvipbxyITisZKjPD15D5ck7+fde6wly7oKX2IJdO0tok45BeJQXj9mr5+922UnR11cd48ZTLhVn7SaWwjETomsgYxb81FPu2IZcZ4gUAYBeECB+6zPiy92h3J3KK6XNQSC7vdxHV+2UfXcSLqazRhJA80wjesPKk3fy7632r3i6/L6/l9hCKUupBiA9QOTlxWOWc+Od8tlVvi9HXwDMw2+IRQy4DxmP4dZTlnHWfBlMtx63an4G9+K5pzwwmsZLPUcMc0RkzIKXfHwV8oQvmzqZzXlqPxdnaF324+L8FrnOHGXxHRHBLcdcUhM5PL19AJ+7a4OhLLt6lXGmvM/fEIvgpZ4jSpS7U9xIdW/c4sRV8bMv3r8Zk5O5QhzM7jm2up/KeTUhgv95o880d6I1GS/MMYnl22lChI/2AVt/lZ9YlmBzDmg278GnmOXixuN3igdY7e9aHFwcwWqfVQwE1Iwq97qUasDSA4QgLx6z6Fe7yWdXnT+3LVnY/+Luw77rsMNZcxS1F49bnJ/RnIgUvHiRz9Q/kkFDLGyI38i+u5t8fKslS/l8jD+91e97idHNewdNvCGrvhIR3DKa+9BYBlsODLtiF1nFmbi/v2H34cI8CxHl7jZuJM+dcYsTt4qfrcuj1J3iFnb3U76P697qV86dEOeY8OVXTYjwhz8P5CYYCO/6NWyeQcusogc/mWLxBDcev1M8wGp/UHEEu32qGIgVqtzLUqoBS8cgqqCg52B4qSOIJTrtyizV1/a63KqX80uZD+FUVpBxJlX5dnV4nR/jpV4v97OUeTW74lcWSMiuVU2mUanzLNzGQMp0jToGUSbZWSduV5fzMwfD62pgsjdMCNBUF8HcjqQtkoFjnWXMNoH5YeG++SM3fqhQlhdf2w5dLdfvZYlRL/ERO1//goUdSg79OQo0Nb+n/PhYGIYYEgHQ2ZQwxK0uWtiBhdPN2HQrTLwbrLeMIJ9SH8XZ81otY1tcVv3r5X4+8eWz0NkcN2zrakrg3uuWGtolPve8vMNXr1Uvx/mpu9i3CVFePHgv6apujx3pZQjx7kvdzbMgIXN7VcfIOvn84jlVwm3oAcKj7L5qu11dzmoOhoq35KZelURvOEwASoHh8Uls2T9si2TgWOdMlhbeZEMc3gcol0Bd/UJPoSw380HsrknkMInyssSozNCS4yNW/STjyNuSceWiJPsGU8pY0K7+scLxmSwKMSTef0czk4a41dv9Y9h6cNiETbfCxLvBessI8iNHJ3BgMKWMbYn316p/vdzPBdObcTRtpJ2OZSZx1tw2Q7v4cx8SWFDTTl6iXo5z99MMZSHKiwfvJV3V7bHrbmUI8UPb7XlR2TQbzGiOHSu2V46BqAi1Q3uL51QJt6EtJpcKOg12xT0bsfXAsC0q2aleJ8tmzs2/cYUstxMBWwRn7+GjAIATp9ZjYDSNackYXth5WFl+iABXnjHLEj3tF6ERIsDO7zijKdz2rXi8jMr+01v9rtOHg7aXrOqxaqsbRDpQxLL//vVeXLCwE2/3j+DQaAatyTjmtCU949pFldIHhfv6vW6grgU4+2vAQ9fanzR/OXD5fdb7g0gllY+1Oi4cA06/msUFeJu+PUX9pi+W+cBVbH2LJdeyvwf3WF+Pm+vwoKrjviuhSg4QdthjUHjGfQdRrxtE9D8/ugV/eP0dExk/lP8kJ2LG/+OpnZ7q8ds2u/MGRtL43H9uQO+Q8R/xnHmt+O6n31s+xLSijV5w7/KxIQKcPbcV0WgYT+Wx4E597eceiO0V+zRE2OCeFe5xJTDpKkS7iEt33S4lWjsMdH8MuOT7zt8evOC+3R5bjjKdzjn5XAAE2LEmUGS4jkG4kBtEMZcB6S2l6NnhCzjGwe8KaDKSw0sqIrdbVJ/r+Cd/q1RJN2320jb5PFVdoMDKx7YquT0nTKk3IanLKa+4d5WtdcKUekPqslUqrWhrWfULR9JboTnklFoxhVfGhriNlfnBiKvSd8WUcN4uETXe3pgwe+ylpndapbFapZKGwuwNOBw3p7bytnnBd3vFblidw1fQ49smU8Cup5yvPyAd1wOEG0SxKJ7Op0rRk1P9evP4AooiUtmvRCSH11REjhPpaIpj1tR6dDTGkYiGEMn/FzclIspUSbcoardtk6Wqi7e/dyiFhlgYHz65FbOm1qMuGlIiqcstr7h3Gdsipu3apdKK5Vn1C0fS26E5xJRaQwqvlELrNlbmByPOEe08fVdO1z5xSh0aYmEDahyA2mMf6wNi+VTwKbO9p3eq0lWtUkl7nmO/uy82p7aKbfOSAusH9a06R9zGkSEVikUclxaTX/xypTAUXurzchzg/9r9ti2IsoKsqxoqZ8qxlxhYkArqPr8ZvwYJomY8KRU0OtuuHqB2lgwNGP2tLSYb+cUvVwpD4aU+L8cBwaGng8A0uC0ryLqqIb/tV6VDc4lpqW4RHCq0twoZI59XKr7Frh9umfsAUvM/aU4X/ULAyIubXmWBbRlZcfL57tNVq4DbNrS/Cm05LgcIO0SxlUREtJ1Pb+VHJ2PW3rwXjIGVxy8vNRoJMcSG6Fn3Dafw9Ue2YGDUWI947bwtT2/vN8RnVPENLzELO5/7i/dvRoTY96vTUqpWcvLOvc4v8XOuXcxFjgWIeBBVOjSAfFyLFhDrqvIjIYKVj201PK8yvsUKGSPHQmR8i2qpUzd9pGonbehAoqFFwHLnsROdAvIiHGPbs5NqD1+FBt/xP8B3TgTW/wBY2cyC3T3Pm2MaDa3A/hdZ+UC+ngm2ZOhYP7D7qfy+PDI8OwH86H3A7WcDb+freO1h9nvnn4CfnctiHFaY8p+dC/zkg8AtXcAP3wesbAFu+zMWE+HlvS2Uw69jz7NFBInYzjLjNo7LAQJQo6LtJCKi3Swlyv1ovlSnHQ7bC8bACl8tL5PJseWiZ83xE+lJakBPi9fO23LjfS8Z4jNW8Q23MQsnn3vDbut+dbuUqte+dbO/lLJF2cVcxFiAjAcRn6WEAG4EjM+UXD6///LzKuNbrHAudvgW1VKnbvtI+cwUsNz5kZCjt7n33jSdvd7xB3UlKjT4Q58F0sPA2pXsmMf+Hjg6UDyHxzT2PMs8fXEy3o41rIxfXm/c19bN9mVGgYMvA/+dr+NXK9jvB68B9m9kMQ4rTPn+jUDfVmDiKHDkbXbNA9tYTISX999COfw6HlnBECThmLGdZdZxGYPwoqD940piKdzIby5/udoYVP+UM65RyfvmJsYQ5DPlRoE+237w3gCwcsj/ue9GrXTOxBSl50H40NPb+3HNnS/iP69biqn1MfzV7c/j/179Pjy4cZ8wxyGEZDyCe65fWlg164v3b8ZtV55e+Nr9xfs3Y+WlCww57QCwrLsNt37qVAPx9BuPbsEftr4Dmk/9O3tuKw4OpbBvcBz/9snF+Kdfvob3tDXgzs/+WaH8FfdsQiabAyFAa0Mc67b3F85//8wp2CyRVq20bF4rbv30e7GtdwSfufNFnPGeqdi05zAyxsmwIAAiIbYCmFXuet9wCp+7ewPeHhjFSW1J/NNF8/E3976Emy/uxj8/+jpylH0+JABa6qP40ZWn457n9uAPW98pzMc4e14b9hw6it0DowiFQvjupxbjnx95HYPCN5wQAWZPq0dzfQz/cP483HDPJuRoDie3Nxb6CGApzFf87HkMjU+ya8j37f/f3rlHWVXdd/zznTvDDDCMQmagE14iQl2oDQHEJ8aoCca0ilZTUo12xazU1ceqK00shtS62viHMU2zmtaa1BJM8ZWshlXS1gZXVxVXohCwPIMIBEUiz6g8DIwy/PrH3pc5czl3Zu5w77kX5vdZ66577r77nP29v3Pu/p2999m/vf/IUb79melgBNtv2I0R+uenjRvOS9veorFePHr7hXx96ascPXaMhlwd3/7MdPYd7ODmR16ks7OT+lyOd6OhRAhj0n7GYHJ1ovOY8fpb7zJ2+BCGNtbz5x+bzB8uWsXwIQ3sePsI7S2N7Dn0XnwMNJyo+joo5gNamwex79B7qd/VCcaOGMzu/Ucw6DYHIckDN57Hk8vfYNOug7x/zJh74Wh+tHYXo4Y1sutAB2OGD6az8xhb9/0aARPbhnL4aCe/fLur+ygHdAL1grRiGnKiDqOjM9gkTUlDTrwff/P3+GtmNb4CcW6E0x8a4K7n4DfOL2kvdxD94Lfu/zEHjhylpameUS1NbN5ziEkjm5k5YQRPrNjOoFzXTN/bLhrHV2+8gK8sXsfjK7Zz68wTPxvwxIrtECvHlqZ61t4/u1uZH/vG82zec+j455ameg4cCZVa8s+ULG/R8u2p+Qv36Y1JI5t59gsfOf67G3Li6DGj2CWR77fO/9YkxXQV03PbReNYvu0tNu85FMIvAOe0NRe1RRqF3+dtlKYnn/9gx9Hj+gttn9Saduy83lLp6XcUq0jLTSnXRVZsa/z949slB+pzuiix9QDuIEriZKJQ9pfewkrUKjmJa6aMPB5qodJhJpzTj35FbnV6pwRH4Y+5lsCiO2emzt7NM+bMwSy6c2bJjwxeObn1hOiW+UdK84/8Fa4s1hOtQwf1qymeFkWz8Ls8gxtyLPrcTFZ8+erURydf/PJV3eLwvHDPR7lycls/VJGIOipGDmvsOXMfuXTiB7jk7BE95mmsr6P9jCa/+KvECx3nYkbRlqrTD8ZcXJHDDtgWxIV/s5S975YwQcdxnLKR7F7K462Kk6BCg9QD9ibKnYPjOE7P1FdbQNZUY7zBcZwuXmm8Y2C1FvoxiFwrVKwFIWmBpD2S1ifSbpG0QdIxSTMK8t8raYukTZJmn3jE8tA2tKFSh3Ycpw/M6vgmy49Oqt0xiFxTWAEuGYKjt/znXAPDRndPP3Mc3PWTymjMiEp2MS0Eri1IWw/cBHSLVytpCjAXOC/u87Ck4qPGJ8HP/vLjlTis4zh9ZC/D2cw4gNobrFYOjr0Xwoo3J8Js95b/zPHQ2Nz9u4YhJc9PqDUq5iDMbBnwVkHaRjPblJL9BuApM+sws23AFmBmpbQ5jlNdWnWgtPkf9YPDHXp+7eaGIVDXQNcUu7oQGrwu9ppPmZPYubd7zbrwqrKFCgAACZZJREFUUg7GX5YeZrt+cDj+B6eF0Bt1DdB2bvf8R/aHtJu/G94Pv9NLubVPrYxBjAZeSnzeEdPKjo9BnDr0da5IT+EoTpWQ4AOPvoeWrwm+squ0/OffVBkdGVMrTzGlDVml3mBI+ryklZJW7t27t+SCvjrnvJL3cbIlJ7g2hkdPC0+eJxl6+lQPCe44tUitOIgdwNjE5zHAm2kZzew7ZjbDzGa0tZU+Qeu2i8/yuC81TqdBa3MjI4c1pYZmhxNDT5caftxxnN6pFQexBJgrqVHSBGASsKJShdXCmFh7y+lVceXilVRfB/V1YlBcMWlQTpzRVM/QWMmPHzGEWee0Hl+E5pMXtDNqWCM5waiWxm7LdeZJhmYfOijH4Ia61LDf/Vky1XGc4lRsJrWkJ4ErgVZgN/BXhEHrbwFtwDvAajObHfPPBz4LHAXuNrNneisji3DfjuM4pxt9nUldsUFqM/t0ka8WF8n/APBApfQ4juM4pVErXUyO4zhOjeEOwnEcx0nFHYTjOI6TijsIx3EcJxV3EI7jOE4qp/SCQZL2Aq+XsEsrsK9Cck6GWtUFtavNdZVOrWpzXaVzstrGm1mvM41PaQdRKpJW9uXZ36ypVV1Qu9pcV+nUqjbXVTpZafMuJsdxHCcVdxCO4zhOKgPNQXyn2gKKUKu6oHa1ua7SqVVtrqt0MtE2oMYgHMdxnL4z0FoQjuM4Th8ZEA5C0rWSNknaImlexmWPlfS/kjZK2iDpz2L6/ZJ+KWl1fF2X2OfeqHWTpNkV1veapHVRw8qYNkLSs5I2x/fhWWqT9JsJu6yWdEDS3dWymaQFkvZIWp9IK9lGkqZHW2+R9PeSTmppkiK6HpL0iqS1khZLOjOmnyXpcMJ2j2Ssq+RzV25dPWh7OqHrNUmrY3qWNitWT1T3OjOz0/pFWJB2K3A2MAhYA0zJsPx2YFrcHga8CkwB7ge+mJJ/StTYCEyI2nMV1Pca0FqQ9jVgXtyeBzxYDW2J87cLGF8tmwFXANOA9SdjI8IaJ5cQVlB8BvhEBXR9HKiP2w8mdJ2VzFdwnCx0lXzuyq2rmLaC7/8WuK8KNitWT1T1OhsILYiZwBYz+4WZvQc8BdyQVeFmttPMXo7bB4GN9Lze9g3AU2bWYWbbgC2E35AlNwCPxe3HgDmJ9Ky1XQ1sNbOeJkRWVJeZLSOsZVJYZp9tJKkdaDGzFy38i7+X2KdsusxsqZkdjR9fIqzOWJSsdPVAZvbqTVu80/4U8GRPx6iQzYrVE1W9zgaCgxgNvJH4vIOeK+iKIeks4MPA8pj0J7ErYEGi6Zi1XgOWSlol6fMxbZSZ7YRw4QIjq6QNYC7d/7C1YDMo3Uaj43aWGj9LuIPMM0HS/0l6XtKsmJalrlLOXTXsNQvYbWabE2mZ26ygnqjqdTYQHERa/1vmj25Jagb+jbBa3gHgn4CJwFRgJ6FpC9nrvczMpgGfAP5Y0hU95M1Um6RBwPXAD2JSrdisJ4ppydp28wmrMz4ek3YC48zsw8AXgCcktWSoq9RzV41z+mm634xkbrOUeqJo1iIayqptIDiIHcDYxOcxwJtZCpDUQDjpj5vZDwHMbLeZdZrZMeCf6eoSyVSvmb0Z3/cQVvubCeyOTdV8c3pPNbQRnNbLZrY7aqwJm0VKtdEOunf3VEyjpDuA3wZujd0MxK6IX8XtVYQ+68lZ6erHucvMXgCS6oGbgKcTmjO1WVo9QZWvs4HgIH4GTJI0Id6RzgWWZFV47Nf8F2CjmX0jkd6eyHYjkH+qYgkwV1KjpAnAJMKgUyW0DZU0LL9NGOBcHzXcEbPdAfx71toi3e7oasFmCUqyUeweOCjp4nhN3J7Yp2xIuhb4C+B6M/t1Ir1NUi5unx11/SJDXSWdu6x0JbgGeMXMjnfPZGmzYvUE1b7OTmbk/VR5AdcRngrYCszPuOzLCU28tcDq+LoO+FdgXUxfArQn9pkftW6iDE9u9KDtbMKTEGuADXnbAB8A/gfYHN9HVEHbEOBXwBmJtKrYjOCkdgLvE+7Q7uyPjYAZhIpxK/APxImqZda1hdA3nb/WHol5fzee4zXAy8DvZKyr5HNXbl3FtMX0hcBdBXmztFmxeqKq15nPpHYcx3FSGQhdTI7jOE4/cAfhOI7jpOIOwnEcx0nFHYTjOI6TijsIx3EcJxV3EM6AQNL8GCVzbYzMeVFMf1TSlDIc/25Jt8ft5yT1eb1gSXP6q0HSBZIW9mdfx+mN+moLcJxKI+kSwsziaWbWIamVENkXM/tcGY5fT4h7NK2fh5gD/Afw81J3NLN1ksZIGmdm2/tZvuOk4i0IZyDQDuwzsw4AM9tnMcRI/m5f0vXqivu/SdK2+P30GKhtlaQfF8wIznMVISTI0UTabZJ+Kmm9pJmS6hRi+rfF49YpxOu/ghBv6qFY9sT4+u9Y5guSzo373BKPt0bSskRZPyJECHCcsuIOwhkILAXGSnpV0sOSPlKYwcyWmNlUM5tKmDn79Rgb51vAzWY2HVgAPJBy/MuAVQVpQ83sUuCPgAUWYhAtAm6N318DrLEQfnoJ8KVY/lbCesN/Gsv8IvBw3Oc+YLaZfYjgVPKsJEQidZyy4l1MzmmPmR2SNJ1QiX4UeFrSPDNbWJhX0j3AYTP7R0nnA+cDz4awNuQIYRoKaSfE70/yZCx7maQWhZXdFhDi4nyT0CX13ZTym4FLgR+oayGwxvj+E2ChpO8DP0zstgf4YI9GcJx+4A7CGRCYWSfwHPCcpHWEwGcLk3kkXQ3cQlh1DELo5A1mdkkvhz8MNBUWeaIEe0PSbklXARfR1ZpIUge8E1syhQe4Kw6ufxJYLWmqhWijTVGD45QV72JyTnsU1rielEiaCrxekGc8oSvnU2aWr2w3AW1xkBtJDZLOSyliI3BOQdrvxX0uB/ab2f6Y/iihq+n70WkBHCQsM4mFNQC2Sbol7i9JH4rbE81suZndB+yjK9zzZLqiozpO2XAH4QwEmoHHJP1c0lq61gRP8geEyJmL42Dxf1lYovZm4EFJawgRNi9NOf4zdLU68rwt6afAI4RopnmWRD3J7qWngC8prFw2kdCyuDOWuYGuJXIfUliMfj2wjDBWAqHb7D/7YAfHKQmP5uo4ZUDSYuAe675cZVq+GcDfmVlZBpUlNQLPA5cXPEXlOCeNtyAcpzzMIwxWF0XSPMKKYfeWsdxxwDx3Dk4l8BaE4ziOk4q3IBzHcZxU3EE4juM4qbiDcBzHcVJxB+E4juOk4g7CcRzHScUdhOM4jpPK/wMrgrQDb1EaeAAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "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.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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\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.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 }