{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Присоединяйтесь к чату воркшопа:\n",
    "# https://clck.ru/9yRpd\n",
    "## Подходите за материалами (на флешках)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Один день из жизни нагрузочного тестировщика\n",
    "## Алексей Лавренюк, Яндекс"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Процесс нагрузочного тестирования:\n",
    "\n",
    "* Анализ работы сервиса:\n",
    "  * архитектура\n",
    "  * нагрузка (планируемая или существующая)\n",
    "* Подготовка стрельб\n",
    "  * настройка тестового стенда\n",
    "  * подготовка патронов\n",
    "* [Стрельбы](http://www.failoverconf.ru/upload/iblock/8ce/2_01_YandexTank.pdf)\n",
    "* Анализ результатов\n",
    "  \n",
    "Из вышеперечисленного сегодня мы займемся анализом входной нагрузки и анализом результатов стрельб."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Задачка 0: готовим тестовое окружение\n",
    "\n",
    "Логи, с которыми мы будем работать -- на флешках:\n",
    "\n",
    "* `access_log_Jul95` -- логи веб-сервера NASA Kennedy Space Center за июль 1995 года\n",
    "* `phout_1` и `phout_2` -- логи стрельб Яндекс.Танком\n",
    "\n",
    "Страничка с описанием логов NASA: http://ita.ee.lbl.gov/html/contrib/NASA-HTTP.html\n",
    "\n",
    "Если будете использовать jupyter, запустите его в той папке, куда скачали логи.\n",
    "\n",
    "Проверьте, что библиотеки имортируются:\n",
    "```\n",
    "import numpy as np    # numpy\n",
    "import pandas as pd   # pandas\n",
    "\n",
    "# альтернативная библиотека для визуализации\n",
    "# https://github.com/mwaskom/seaborn\n",
    "import seaborn as sns\n",
    "\n",
    "# подключаем графику прямо в браузер\n",
    "%matplotlib inline\n",
    "```\n",
    "Если нет -- самое время их поставить.\n",
    "```\n",
    "sudo -H pip3 install numpy pandas seaborn\n",
    "```\n",
    "Если вы под ubuntu, вероятно, для сборки этих библиотек вам понадобятся:\n",
    "```\n",
    "sudo apt install build-essential python-dev gfortran\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Парсим access.log"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# немного о jupyter. vim-like, помощь, автодополнение"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "?np.linspace"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "199.72.81.55 - - [01/Jul/1995:00:00:01 -0400] \"GET /history/apollo/ HTTP/1.0\" 200 6245\n",
      "unicomp6.unicomp.net - - [01/Jul/1995:00:00:06 -0400] \"GET /shuttle/countdown/ HTTP/1.0\" 200 3985\n",
      "199.120.110.21 - - [01/Jul/1995:00:00:09 -0400] \"GET /shuttle/missions/sts-73/mission-sts-73.html HTTP/1.0\" 200 4085\n",
      "burger.letters.com - - [01/Jul/1995:00:00:11 -0400] \"GET /shuttle/countdown/liftoff.html HTTP/1.0\" 304 0\n",
      "199.120.110.21 - - [01/Jul/1995:00:00:11 -0400] \"GET /shuttle/missions/sts-73/sts-73-patch-small.gif HTTP/1.0\" 200 4179\n",
      "burger.letters.com - - [01/Jul/1995:00:00:12 -0400] \"GET /images/NASA-logosmall.gif HTTP/1.0\" 304 0\n",
      "burger.letters.com - - [01/Jul/1995:00:00:12 -0400] \"GET /shuttle/countdown/video/livevideo.gif HTTP/1.0\" 200 0\n",
      "205.212.115.106 - - [01/Jul/1995:00:00:12 -0400] \"GET /shuttle/countdown/countdown.html HTTP/1.0\" 200 3985\n",
      "d104.aa.net - - [01/Jul/1995:00:00:13 -0400] \"GET /shuttle/countdown/ HTTP/1.0\" 200 3985\n",
      "129.94.144.152 - - [01/Jul/1995:00:00:13 -0400] \"GET / HTTP/1.0\" 200 7074\n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "# можно исполнять bash-команды прямо отсюда\n",
    "\n",
    "head ./access_log_Jul95"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "199.72.81.55 - - [01/Jul/1995:00:00:01 -0400] \"GET /history/apollo/ HTTP/1.0\" 200 6245\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# мы на PyCon, поэтому будем работать с помощью преимущественно в Python\n",
    "\n",
    "# читаем первую строку:\n",
    "with open(\"./access_log_Jul95\") as datafile:\n",
    "    log_line = datafile.readline()\n",
    "print(log_line)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "## Задачка 1: парсим access.log\n",
    "\n",
    "**Задание**\n",
    "Написать функцию `parse_line`, которая принимает на вход строку из лога и возвращает массив полей:\n",
    "* hostname - имя хоста, например `199.72.81.55`\n",
    "* date - дата в виде строки, например `01/Jul/1995:00:00:01 -0400`\n",
    "* method - метод, указанный в запросе, например `GET`\n",
    "* url - url, указанный в запросе, например `/history/apollo/`\n",
    "* response_code - код ответа, например `200`\n",
    "* size - размер ответа, например `6245`\n",
    "\n",
    "**вспомогательные материалы**\n",
    "* функции [split](https://docs.python.org/3.5/library/stdtypes.html#str.split), [rsplit](https://docs.python.org/3.5/library/stdtypes.html#str.rsplit) и [strip](https://docs.python.org/3.5/library/stdtypes.html#str.strip)\n",
    "* документация по [regex](https://docs.python.org/3/library/re.html) в питоне (а именно [re.match](https://docs.python.org/3/library/re.html#re.match))\n",
    "* [сервис](http://rubular.com) для тестирования регэкспов\n",
    "\n",
    "**заготовка кода**\n",
    "```\n",
    "with open(\"./access_log_Jul95\") as datafile:\n",
    "    log_line = datafile.readline()\n",
    "\n",
    "def parse_line(line):\n",
    "    # ваш код тут\n",
    "    return []\n",
    "    \n",
    "print(parse_line(log_line))\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('199.72.81.55', '01/Jul/1995:00:00:01-0400', 'GET', '/history/apollo/', '200', '6245')\n"
     ]
    }
   ],
   "source": [
    "# andrey-yantsen\n",
    "def parse_line_t(line):\n",
    "    ip, _, _, dt, tz, method, path, _, responce_code, size = line.split(' ')\n",
    "    return ip, dt + tz, method.replace('\"', ''), path, responce_code, size\n",
    "\n",
    "def parse_line_t(line):\n",
    "    ip, _, _, dt, tz, method, path, _, responce_code, size = line.split(' ')\n",
    "    return ip, (dt + tz).replace('[', '').replace(']', ''), method.replace('\"', ''), path, responce_code, size.strip()\n",
    "\n",
    "print(parse_line_t(log_line))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n",
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n",
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('199.72.81.55',\n",
       " '01/Jul/1995:00:00:01 -0400',\n",
       " 'GET',\n",
       " '/history/apollo/',\n",
       " 'HTTP/1.0',\n",
       " '200',\n",
       " '6245')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# вариант с регэксом\n",
    "\n",
    "import re\n",
    "\n",
    "# регэкс скомпилим заранее\n",
    "regex = re.compile('([\\w\\-\\.]+) - - \\[(.*?)\\] \"([A-Z]+) (\\S+)\\s+(\\S+)\" (\\d+) (\\d+)')\n",
    "def parse_line_re(line):\n",
    "    return regex.match(line).groups()\n",
    "\n",
    "parse_line_re(log_line)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['199.72.81.55',\n",
       " '01/Jul/1995:00:00:01 -0400',\n",
       " 'GET',\n",
       " '/history/apollo/',\n",
       " 'HTTP/1.0',\n",
       " '200',\n",
       " '6245']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# вариант без регэкспа: постепенно откусываем поля по известным разделителям\n",
    "\n",
    "def parse_line_split(line):\n",
    "    host, line = line.split(\" \", 1)\n",
    "    _, line = line.split(\"[\", 1)\n",
    "    date, line = line.split(\"]\", 1)\n",
    "    _, line = line.split('\"', 1)\n",
    "    req, line = line.split('\"', 1)\n",
    "    code, timing = line.strip(\"\\r\\n \").split()\n",
    "    return [host, date] + req.split(\" \") + [code, timing]\n",
    "\n",
    "parse_line_split(log_line)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100000 loops, best of 3: 2.57 µs per loop\n",
      "100000 loops, best of 3: 3.74 µs per loop\n",
      "The slowest run took 4.26 times longer than the fastest. This could mean that an intermediate result is being cached.\n",
      "1000000 loops, best of 3: 1.91 µs per loop\n"
     ]
    }
   ],
   "source": [
    "%timeit parse_line_re(log_line)\n",
    "%timeit parse_line_split(log_line)\n",
    "\n",
    "%timeit parse_line_t(log_line)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Тестируем на нашем логе"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def test_parser_on_file(parser):\n",
    "    with open(\"./access_log_Jul95\") as datafile:\n",
    "        for line in datafile:\n",
    "            try:\n",
    "                parser(line)\n",
    "            except Exception as e:\n",
    "                # если парсер не сработает, напечатаем строку,\n",
    "                # на которой он сломался, и выйдем\n",
    "                print(line)\n",
    "                raise e"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "UnicodeDecodeError",
     "evalue": "'utf-8' codec can't decode byte 0x80 in position 3690: invalid start byte",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mUnicodeDecodeError\u001b[0m                        Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-17-30e604a0ff59>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# сначала попробуем на функции, которая ничего не делает\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;31m# python 2 работает по-другому =)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mtest_parser_on_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0ml\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0ml\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-16-0b4ad3a93aa3>\u001b[0m in \u001b[0;36mtest_parser_on_file\u001b[0;34m(parser)\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mtest_parser_on_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparser\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m     \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"./access_log_Jul95\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mdatafile\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m         \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mdatafile\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m                 \u001b[0mparser\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/Cellar/python3/3.5.1/Frameworks/Python.framework/Versions/3.5/lib/python3.5/codecs.py\u001b[0m in \u001b[0;36mdecode\u001b[0;34m(self, input, final)\u001b[0m\n\u001b[1;32m    319\u001b[0m         \u001b[0;31m# decode input (taking the buffer into account)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    320\u001b[0m         \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbuffer\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 321\u001b[0;31m         \u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconsumed\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_buffer_decode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfinal\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    322\u001b[0m         \u001b[0;31m# keep undecoded input until the next call\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    323\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbuffer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mconsumed\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mUnicodeDecodeError\u001b[0m: 'utf-8' codec can't decode byte 0x80 in position 3690: invalid start byte"
     ]
    }
   ],
   "source": [
    "# сначала попробуем на функции, которая ничего не делает\n",
    "# python 2 работает по-другому =)\n",
    "test_parser_on_file(lambda l: l)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n",
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n",
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0c86e60 6e 74 64 6f 77 6e 2f 64 79 20 80 3f 73 68 75 74\n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "# посмотрим, что же это за 0x80\n",
    "\n",
    "hexdump ./access_log_Jul95 | grep -m 1 ' 80 '"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0c86e40: 323a 3234 3a34 3120 2d30 3430 305d 2022  2:24:41 -0400] \"\n",
      "0c86e50: 4745 5420 2f73 6875 7474 6c65 2f63 6f75  GET /shuttle/cou\n",
      "0c86e60: 6e74 646f 776e 2f64 7920 803f 7368 7574  ntdown/dy .?shut\n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "\n",
    "xxd ./access_log_Jul95 | grep '0c86e60' -C 2 -m 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# пофиксим читалку файла\n",
    "def test_parser_on_file(parser):\n",
    "    with open(\"./access_log_Jul95\", encoding=\"ascii\", errors=\"replace\") as datafile:\n",
    "        for line in datafile:\n",
    "            try:\n",
    "                parser(line)\n",
    "            except Exception as e:\n",
    "                # если парсер не сработает, напечатаем строку,\n",
    "                # на которой он сломался, и выйдем\n",
    "                print(line)\n",
    "                raise e\n",
    "\n",
    "test_parser_on_file(lambda l: l)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dd15-062.compuserve.com - - [01/Jul/1995:00:01:12 -0400] \"GET /news/sci.space.shuttle/archive/sci-space-shuttle-22-apr-1995-40.txt HTTP/1.0\" 404 -\n",
      "\n"
     ]
    },
    {
     "ename": "AttributeError",
     "evalue": "'NoneType' object has no attribute 'groups'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-21-803443080bf3>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# протестируем вариант с регэкспом\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mtest_parser_on_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparse_line_re\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-20-db0fa5390d1a>\u001b[0m in \u001b[0;36mtest_parser_on_file\u001b[0;34m(parser)\u001b[0m\n\u001b[1;32m      9\u001b[0m                 \u001b[0;31m# на которой он сломался, и выйдем\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m                 \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 11\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     12\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[0mtest_parser_on_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0ml\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0ml\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-20-db0fa5390d1a>\u001b[0m in \u001b[0;36mtest_parser_on_file\u001b[0;34m(parser)\u001b[0m\n\u001b[1;32m      4\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mdatafile\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m                 \u001b[0mparser\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      7\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m                 \u001b[0;31m# если парсер не сработает, напечатаем строку,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-8-d7c9d614de00>\u001b[0m in \u001b[0;36mparse_line_re\u001b[0;34m(line)\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0mregex\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mre\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcompile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'([\\w\\-\\.]+) - - \\[(.*?)\\] \"([A-Z]+) (\\S+)\\s+(\\S+)\" (\\d+) (\\d+)'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mparse_line_re\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mregex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmatch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroups\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0mparse_line_re\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlog_line\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'groups'"
     ]
    }
   ],
   "source": [
    "# протестируем вариант с регэкспом\n",
    "test_parser_on_file(parse_line_re)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pipe6.nyc.pipeline.com - - [01/Jul/1995:00:22:43 -0400] \"GET /shuttle/missions/sts-71/movies/sts-71-mir-dock.mpg\" 200 946425\n",
      "\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "not enough values to unpack (expected 10, got 9)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-22-bbfa984a1552>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtest_parser_on_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparse_line_t\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-20-db0fa5390d1a>\u001b[0m in \u001b[0;36mtest_parser_on_file\u001b[0;34m(parser)\u001b[0m\n\u001b[1;32m      9\u001b[0m                 \u001b[0;31m# на которой он сломался, и выйдем\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m                 \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 11\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     12\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[0mtest_parser_on_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0ml\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0ml\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-20-db0fa5390d1a>\u001b[0m in \u001b[0;36mtest_parser_on_file\u001b[0;34m(parser)\u001b[0m\n\u001b[1;32m      4\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mdatafile\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m                 \u001b[0mparser\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      7\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m                 \u001b[0;31m# если парсер не сработает, напечатаем строку,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-13-313c0dc71145>\u001b[0m in \u001b[0;36mparse_line_t\u001b[0;34m(line)\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# andrey-yantsen\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mparse_line_t\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m     \u001b[0mip\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtz\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresponce_code\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msize\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mline\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m' '\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mip\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdt\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mtz\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreplace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'\"'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m''\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresponce_code\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msize\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparse_line\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlog_line\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: not enough values to unpack (expected 10, got 9)"
     ]
    }
   ],
   "source": [
    "test_parser_on_file(parse_line_t)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n",
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n",
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('dd15-062.compuserve.com',\n",
       " '01/Jul/1995:00:01:12 -0400',\n",
       " 'GET',\n",
       " '/news/sci.space.shuttle/archive/sci-space-shuttle-22-apr-1995-40.txt',\n",
       " 'HTTP/1.0',\n",
       " '404',\n",
       " '-')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# если сервер возвращает ошибку, то размера нет\n",
    "# добавим поддержку для отсутствующего размера\n",
    "regex = re.compile('([\\w\\-\\.]+) - - \\[(.*?)\\] \"([A-Z]+) (\\S+)\\s+(\\S+)\" (\\d+) (-|\\d+)')\n",
    "def parse_line_re(line):\n",
    "    return regex.match(line).groups()\n",
    "\n",
    "# и проверим, что все работает на этой строке\n",
    "parse_line_re('dd15-062.compuserve.com - - [01/Jul/1995:00:01:12 -0400] \"GET /news/sci.space.shuttle/archive/sci-space-shuttle-22-apr-1995-40.txt HTTP/1.0\" 404 -')\n",
    "\n",
    "# кстати, если бы мы парсили не регэкспом, а вручную, мы могли бы в случае отсутствия значения поставить там \n",
    "# 0 или None, и потом нам было бы удобнее работать с такими данными"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pipe6.nyc.pipeline.com - - [01/Jul/1995:00:22:43 -0400] \"GET /shuttle/missions/sts-71/movies/sts-71-mir-dock.mpg\" 200 946425\n",
      "\n"
     ]
    },
    {
     "ename": "AttributeError",
     "evalue": "'NoneType' object has no attribute 'groups'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-24-efe7c782512d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# попробуем еще раз\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mtest_parser_on_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparse_line_re\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-20-db0fa5390d1a>\u001b[0m in \u001b[0;36mtest_parser_on_file\u001b[0;34m(parser)\u001b[0m\n\u001b[1;32m      9\u001b[0m                 \u001b[0;31m# на которой он сломался, и выйдем\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m                 \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 11\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     12\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[0mtest_parser_on_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0ml\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0ml\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-20-db0fa5390d1a>\u001b[0m in \u001b[0;36mtest_parser_on_file\u001b[0;34m(parser)\u001b[0m\n\u001b[1;32m      4\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mdatafile\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m                 \u001b[0mparser\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      7\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m                 \u001b[0;31m# если парсер не сработает, напечатаем строку,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-23-4a826dae5b89>\u001b[0m in \u001b[0;36mparse_line_re\u001b[0;34m(line)\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mregex\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mre\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcompile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'([\\w\\-\\.]+) - - \\[(.*?)\\] \"([A-Z]+) (\\S+)\\s+(\\S+)\" (\\d+) (-|\\d+)'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mparse_line_re\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mregex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmatch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroups\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;31m# и проверим, что все работает на этой строке\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'groups'"
     ]
    }
   ],
   "source": [
    "# попробуем еще раз\n",
    "test_parser_on_file(parse_line_re)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('pipe6.nyc.pipeline.com',\n",
       " '01/Jul/1995:00:22:43 -0400',\n",
       " 'GET',\n",
       " '/shuttle/missions/sts-71/movies/sts-71-mir-dock.mpg',\n",
       " None,\n",
       " '200',\n",
       " '946425')"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# учитываем возможное отсутствие протокола в запросе\n",
    "regex = re.compile('([\\w\\-\\.]+) - - \\[(.*?)\\] \"([A-Z]+) (\\S+)(?: (\\S+))?\" (\\d+) (-|\\d+)')\n",
    "def parse_line_re(line):\n",
    "    return regex.match(line).groups()\n",
    "\n",
    "parse_line_re('pipe6.nyc.pipeline.com - - [01/Jul/1995:00:22:43 -0400] \"GET /shuttle/missions/sts-71/movies/sts-71-mir-dock.mpg\" 200 946425')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "204.120.229.63 - - [01/Jul/1995:04:29:05 -0400] \"GET /history/history.html                                                 hqpao/hqpao_home.html HTTP/1.0\" 200 1502\n",
      "\n",
      "204.120.229.63 - - [01/Jul/1995:04:29:05 -0400] \"GET /history/history.html                                                 hqpao/hqpao_home.html HTTP/1.0\" 200 1502\n",
      "\n"
     ]
    },
    {
     "ename": "AttributeError",
     "evalue": "'NoneType' object has no attribute 'groups'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-27-a74df5e447b3>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      9\u001b[0m         \u001b[0;32mraise\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 11\u001b[0;31m \u001b[0mtest_parser_on_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparse_line_re\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-20-db0fa5390d1a>\u001b[0m in \u001b[0;36mtest_parser_on_file\u001b[0;34m(parser)\u001b[0m\n\u001b[1;32m      9\u001b[0m                 \u001b[0;31m# на которой он сломался, и выйдем\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m                 \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 11\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     12\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[0mtest_parser_on_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0ml\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0ml\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-20-db0fa5390d1a>\u001b[0m in \u001b[0;36mtest_parser_on_file\u001b[0;34m(parser)\u001b[0m\n\u001b[1;32m      4\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mdatafile\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m                 \u001b[0mparser\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      7\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m                 \u001b[0;31m# если парсер не сработает, напечатаем строку,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-27-a74df5e447b3>\u001b[0m in \u001b[0;36mparse_line_re\u001b[0;34m(line)\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mparse_line_re\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mregex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmatch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroups\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mAttributeError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m         \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'groups'"
     ]
    }
   ],
   "source": [
    "# посмотрим все необработанные строки (опасно, но я пробовал)\n",
    "regex = re.compile('([\\w\\-\\.@]+) - - \\[(.*?)\\] \"([A-Z]+) (\\S+)(?:\\s+(\\S+))?\" (\\d+) (-|\\d+)')\n",
    "def parse_line_re(line):\n",
    "    try:\n",
    "        return regex.match(line).groups()\n",
    "    except AttributeError:\n",
    "        print(line)\n",
    "        # не будем бросать тут эксепшн, просто продолжим\n",
    "        raise\n",
    "        return None\n",
    "test_parser_on_file(parse_line_re)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Задачка 2: починка парсера\n",
    "\n",
    "**Задание** Починить парсер хотя бы для тех ответов, которые обработал сервер\n",
    "* нераспаршенными должны остаться только те ответы, на которые сервер выдал код 400 (bad request)\n",
    "* предположим, что сервер читает url до первого пробельного символа, все остальное выкидывает\n",
    "\n",
    "**Заготовка кода**\n",
    "\n",
    "Можно либо поменять регулярное выражение, либо использовать свою функцию.\n",
    "```\n",
    "import re\n",
    "\n",
    "def test_parser_on_file(parser):\n",
    "    with open(\"./access_log_Jul95\", encoding=\"ascii\", errors=\"replace\") as datafile:\n",
    "        for line in datafile:\n",
    "            try:\n",
    "                parser(line)\n",
    "            except Exception as e:\n",
    "                # если парсер не сработает, напечатаем строку,\n",
    "                # на которой он сломался, и выйдем\n",
    "                print(line)\n",
    "                raise e\n",
    "\n",
    "regex = re.compile('([\\w\\-\\.@]+) - - \\[(.*?)\\] \"([A-Z]+) (\\S+)(?:\\s+(\\S+))?\" (\\d+) (-|\\d+)')\n",
    "def parse_line_re(line):\n",
    "    try:\n",
    "        return regex.match(line).groups()\n",
    "    except AttributeError:\n",
    "        print(line)\n",
    "        return None\n",
    "\n",
    "test_parser_on_file(parse_line_re)\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "klothos.crl.research.digital.com - - [10/Jul/1995:16:45:50 -0400] \"\u0005\u0001\" 400 -\n",
      "\n",
      "firewall.dfw.ibm.com - - [20/Jul/1995:07:34:34 -0400] \"1/history/apollo/images/\" 400 -\n",
      "\n",
      "firewall.dfw.ibm.com - - [20/Jul/1995:07:53:24 -0400] \"1/history/apollo/images/\" 400 -\n",
      "\n",
      "128.159.122.20 - - [20/Jul/1995:15:28:50 -0400] \"k��\u0003tx��\u0004tG��\u0007t���\" 400 -\n",
      "\n",
      "128.159.122.20 - - [24/Jul/1995:13:52:50 -0400] \"k��\u0003tx��\u0004tG��\u0007t���\" 400 -\n",
      "\n",
      "alyssa.p\n"
     ]
    }
   ],
   "source": [
    "#briskly\n",
    "import re\n",
    "def parse_line(line):\n",
    "    res = re.match(r\"(.*)- - (\\[.*\\]) \\\"(\\w+) (.+)( (.+))?\\\" (\\d+) (\\d+|-)\", line)\n",
    "    if res is None:\n",
    "        print(line)\n",
    "        return\n",
    "    return res.groups()\n",
    "\n",
    "def parser_log(fn):\n",
    "    for line in open(fn, encoding=\"ascii\", errors=\"replace\"):\n",
    "        res = parse_line(line)\n",
    "        if res:\n",
    "            pass\n",
    "\n",
    "parser_log(\"access_log_Jul95\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pipe6.nyc.pipeline.com - - [01/Jul/1995:00:22:43 -0400] \"GET /shuttle/missions/sts-71/movies/sts-71-mir-dock.mpg\" 200 946425\n",
      "\n"
     ]
    },
    {
     "ename": "AttributeError",
     "evalue": "'NoneType' object has no attribute 'groups'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-28-55ac332b59f3>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mparse_line\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mre\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msearch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'(.*) - - \\[(.*)\\] \"(.*) (\\/.*) HTTP/1.0\" (.*) (.*)'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroups\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mtest_parser_on_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparse_line\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-20-db0fa5390d1a>\u001b[0m in \u001b[0;36mtest_parser_on_file\u001b[0;34m(parser)\u001b[0m\n\u001b[1;32m      9\u001b[0m                 \u001b[0;31m# на которой он сломался, и выйдем\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m                 \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 11\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     12\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[0mtest_parser_on_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0ml\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0ml\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-20-db0fa5390d1a>\u001b[0m in \u001b[0;36mtest_parser_on_file\u001b[0;34m(parser)\u001b[0m\n\u001b[1;32m      4\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mdatafile\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m                 \u001b[0mparser\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      7\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m                 \u001b[0;31m# если парсер не сработает, напечатаем строку,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-28-55ac332b59f3>\u001b[0m in \u001b[0;36mparse_line\u001b[0;34m(line)\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# beloborodov\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mparse_line\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mre\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msearch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'(.*) - - \\[(.*)\\] \"(.*) (\\/.*) HTTP/1.0\" (.*) (.*)'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroups\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0mtest_parser_on_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparse_line\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'groups'"
     ]
    }
   ],
   "source": [
    "# beloborodov\n",
    "def parse_line(line):\n",
    "    return re.search('(.*) - - \\[(.*)\\] \"(.*) (\\/.*) HTTP/1.0\" (.*) (.*)', line).groups()\n",
    "test_parser_on_file(parse_line)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n",
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n",
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**что получилось у меня**\n",
    "* запросом считаем то, что после метода и до первого пробельного символа, далее выкидываем все до последней кавычки\n",
    "* учитываем то, что после метода перед урлом может быть не один пробел\n",
    "* добавил все символы, которые встречались в хостнеймах. Можно было просто ограничить хостнейм первым пробельным символом, но мне было интересно, какие бывают хостнеймы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "klothos.crl.research.digital.com - - [10/Jul/1995:16:45:50 -0400] \"\u0005\u0001\" 400 -\n",
      "\n",
      "firewall.dfw.ibm.com - - [20/Jul/1995:07:34:34 -0400] \"1/history/apollo/images/\" 400 -\n",
      "\n",
      "firewall.dfw.ibm.com - - [20/Jul/1995:07:53:24 -0400] \"1/history/apollo/images/\" 400 -\n",
      "\n",
      "128.159.122.20 - - [20/Jul/1995:15:28:50 -0400] \"k��\u0003tx��\u0004tG��\u0007t���\" 400 -\n",
      "\n",
      "128.159.122.20 - - [24/Jul/1995:13:52:50 -0400] \"k��\u0003tx��\u0004tG��\u0007t���\" 400 -\n",
      "\n",
      "alyssa.p\n"
     ]
    }
   ],
   "source": [
    "regex = re.compile('([\\w\\-\\.@\\'*,:/#&]+) - - \\[(.*?)\\] \"([A-Z]+)\\s+(\\S+).*\" (\\d+) (-|\\d+)')\n",
    "def parse_line_re(line):\n",
    "    try:\n",
    "        return regex.match(line).groups()\n",
    "    except AttributeError:\n",
    "        print(line)\n",
    "        # не кидаем эксепшн, посмотрим все нераспаршенные строки\n",
    "        return None\n",
    "test_parser_on_file(parse_line_re)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Считаем урлы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# убираем печать ненайденных урлов, чтобы не мешались\n",
    "\n",
    "regex = re.compile('([\\w\\-\\.@\\'*,:/#&]+) - - \\[(.*?)\\] \"([A-Z]+)\\s+(\\S+).*\" (\\d+) (-|\\d+)')\n",
    "def parse_line_re(line):\n",
    "    try:\n",
    "        return regex.match(line).groups()\n",
    "    except AttributeError:\n",
    "        return None\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "defaultdict(int,\n",
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       "             '/images/home_igloo.gif': 2,\n",
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       "             '/news/sci.space.news/1552': 2,\n",
       "             '/HISTORY/APOLLO/APOLLO-13/APOLLO13.HTML': 2,\n",
       "             '/shuttle/missions/sts-2/movies/': 11,\n",
       "             '/shuttle/missions/sts-71/images/KSC-95EC-0873.jpeg': 1,\n",
       "             '/11/history/gemini/gemini-4/news/': 1,\n",
       "             '/images/lc39a.gif': 669,\n",
       "             '/home/guided-tour.html': 1,\n",
       "             '/procurement/midrange/rfo/consamp.txt': 15,\n",
       "             '/shuttle/missions/status/r91-61': 1,\n",
       "             '/shuttle/technology/sts-newsref/stsover-missions': 1,\n",
       "             '/statistics/1993/Nov/Nov93_byte.gif': 1,\n",
       "             '/shuttle/missions/sts-63/sts-63-patch-small.gif': 1936,\n",
       "             '/icon/q_mark3.gif': 1,\n",
       "             '/shuttle/missions/sts-41/sts-41-info.html': 6,\n",
       "             '/shuttle/missions/missions.html;': 1,\n",
       "             '/shuttle/missions/61-c/news': 7,\n",
       "             '/shuttle/coutdown': 2,\n",
       "             '/history/apollo/apollo-10/news/': 36,\n",
       "             '/shuttle/missions/61-c/sounds/': 3,\n",
       "             '/shuttle/missions/41-c/images/84HC210.GIF': 6,\n",
       "             '/facts/wais-readme.html': 2,\n",
       "             '/software/webadmin/astronauts.perl': 4,\n",
       "             '/shuttle/missions/sts-28/sts-28-patch.jpg': 11,\n",
       "             '/history/gemini/gemini-viii/': 5,\n",
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       "             '/software.html': 3,\n",
       "             '/history/apollo/apollo-1/docs/': 433,\n",
       "             '/shuttle/shuttle/missions/sts-70/mission-sts-70.html': 3,\n",
       "             '/index.html': 2,\n",
       "             '/shuttle/missions/sts-48/sts-48-info.html': 5,\n",
       "             '/shuttle/missions/sts-40/sts-40-patch-small.gif': 171,\n",
       "             '/shuttle/missions/sts-2/': 24,\n",
       "             '/history/apollo/appollo-13info.html': 1,\n",
       "             '/shuttle/missions/sts-72/sts-72-patch.jpg': 41,\n",
       "             '/cgi-bin/imagemap': 1,\n",
       "             '/shuttle/technology/sts-newsref/sts-cron.html': 701,\n",
       "             '/shuttle/missions/sts-67/images/k95p0394.jpg': 2,\n",
       "             '/shuttle/resources/orbiters/orbiters-logo.gif': 8545,\n",
       "             '/facilities/vpf.html': 60,\n",
       "             '/shuttle/missions/status/r91-68': 1,\n",
       "             '/apollo.html': 2,\n",
       "             '/history/apollo/apollo-11/sounds': 1,\n",
       "             '/mdss/srqa/../MDSS.html': 5,\n",
       "             '/software/winvn/bluemarb.gif': 5814,\n",
       "             '/images/cdrom-1-95/img0019.jpg': 1,\n",
       "             '/shuttle/missions/sts-71/images/KSC-95EC-0875.jpg': 66,\n",
       "             '/history/apollo/apollo-13/news/': 1432,\n",
       "             '/elv/uplink.htm%3EThis': 1,\n",
       "             '/shuttle/missions/sts-70/mission-sts70.html': 2,\n",
       "             '/peripherals/graphics/peripherals_bar.gif': 1,\n",
       "             '/images/NASA-logos': 5,\n",
       "             '/history/gemini/gemini-4.html': 1,\n",
       "             '/persons/astronauts/a-to-d/BurschDW.txt': 4,\n",
       "             '/history/apollo/a-001/a-001.html': 140,\n",
       "             '/classes/net/www/content/image/jpeg.class': 2,\n",
       "             '/shuttle/missions/sts-65/news/sts-65-mcc-08.txt': 1,\n",
       "             '/software/winvn/userguide/winvn34.gif': 23,\n",
       "             '/base-ops/procurement/kscbus.htm': 14,\n",
       "             '/images/getstats.gif': 65,\n",
       "             '/shuttle/missions/sts-71/sts-71-day-04-highlights.html': 542,\n",
       "             '/history/apollo/apollo-12apollo-13.html': 1,\n",
       "             '/shuttle/missions/sts-5/sts-5-patch.jpg': 22,\n",
       "             '/history/apollo/apollo14/apollo14.html': 1,\n",
       "             '/history/apollo/apollo-1/apollo-1.html': 2574,\n",
       "             '/facilities/press.html': 112,\n",
       "             '/shuttle/missions/sts-31/movies/': 4,\n",
       "             '/cgi-bin/imagemap/video/livevideo2.gif': 2,\n",
       "             '/elv/uncons.htm': 409,\n",
       "             '/shuttle/missions/sts-71/images/KSC-95EC-0423.gif': 1520,\n",
       "             '/~www/pics/welcome.gif': 1,\n",
       "             '/procurement/midrange/abstract/pneuabs.txt': 35,\n",
       "             '/msfc/who.html': 1,\n",
       "             '/shuttle/missions/41-d/images/84HC191.GIF': 9,\n",
       "             '/mdss/ped/acs/cmu2.gif': 14,\n",
       "             '/payloads/processing/vpart5as.gif': 1,\n",
       "             '/shuttle/missions/41-g/images/': 14,\n",
       "             '/shuttle/missions/sts-70/mission-sts-72.html': 2,\n",
       "             '/job.com': 1,\n",
       "             '/shuttle/missions/sts-67/sts-67-patch-small.gif': 2209,\n",
       "             '/shuttle/missions/sts-70/images/DSC-95EC-0002': 1,\n",
       "             '/shuttle/Countdown': 1,\n",
       "             '/skylab/skylab.html': 2,\n",
       "             '/biomed/soils/gif/legend.gif': 3,\n",
       "             '/shuttle/missions/sts-51/news/': 2,\n",
       "             '/shuttle/missions/sts-66/news/sts-66-pocc-16.txt': 4,\n",
       "             '/shuttle/missions/sts-63/images/k95p0264.jpg': 23,\n",
       "             '/shuttle/missions/sts-65/news/sts-65-pocc-09.txt': 1,\n",
       "             '/elv/elvpage.htw': 2,\n",
       "             '/payloads/processing/ppart5a.gif': 1,\n",
       "             '/shuttle/missions/news/1993/h01.29.93': 2,\n",
       "             '/history/apollo/apollo-17/images/721200.GIF': 112,\n",
       "             '/shuttle/missions/sts-70/movies/sts-70-launch-press.mpg': 588,\n",
       "             '/shuttle/missions/sts-38/news': 5,\n",
       "             '/shuttle/missions/sts-49/news/': 9,\n",
       "             '/history/apollo/apollo-13/apllo-13.html': 1,\n",
       "             '/missions.html': 1,\n",
       "             '/shuttle/countdown/images/cdtclock.gif': 8662,\n",
       "             '/shuttle/missions/51-l/images/86HC119.GIF': 407,\n",
       "             '/shuttle/missions/sts-47/movies/': 5,\n",
       "             '/shuttle/missions/51-i/51-i-info.html': 6,\n",
       "             '/www/software': 2,\n",
       "             '/payloads/processing/vpart3s.gif': 2,\n",
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       "             '/history/gemini/gemini-viii/gemini-viii.html': 297,\n",
       "             '/shuttle/technology/sts-newsref/operatio.txt': 19,\n",
       "             '/shuttle/countdown/http://stentor.ca/': 1,\n",
       "             '/history/skylab/skylab-2.html': 395,\n",
       "             '/shuttle/missions/sts-73/sts-73-info.html': 292,\n",
       "             '/history/apollo/sa-6/news/': 5,\n",
       "             '/shuttle/missions/51-b/news/': 5,\n",
       "             '/shuttle/missions/sts-38/images/90HC399.GIF': 1,\n",
       "             '/payloads/processing/paylproc.gif': 49,\n",
       "             '/history/gemini/images/GT-8.gif': 2,\n",
       "             '/shuttle/missions/sts-66/news/sts-66-pocc-04.txt': 3,\n",
       "             '/cgi-bin/imagemap/DSC-95EC-0001.gif': 2,\n",
       "             '/shuttle/missions/4I-d/mission-4I-d.html': 1,\n",
       "             '/shuttle/missions/51-a/sounds/': 2,\n",
       "             '/shuttle/missions/sts-42/mission-sts-52.html': 1,\n",
       "             '/SOFTWARE/WINVN.HTML': 1,\n",
       "             '/shuttle/missions/sts-48/images/': 4,\n",
       "             '/shuttle/missions/sts-68/news/sts-68-mcc-10.txt': 3,\n",
       "             '/history/apollo/apollo-10/apollo-10.html': 922,\n",
       "             '/shuttle/missions/sts-39/images/91HC372.GIF': 4,\n",
       "             '/shuttle/missions/sts-63/news/sts-63-mcc-03.txt': 3,\n",
       "             '/shuttle/missions/sts-28/images/': 7,\n",
       "             '/persons': 11,\n",
       "             '/statistics/1995/Jul/Jul95.html': 304,\n",
       "             '/shuttle/missions/sts-33/sts-33-patch-small.gif': 212,\n",
       "             '/software/winvn/userguide/3_7.htm': 8,\n",
       "             '/shuttle/missions/sts-29/sts-29-info.html': 5,\n",
       "             '/facts/faq04.html': 931,\n",
       "             '/shuttle/news/sci.space.news/164': 1,\n",
       "             '/software/winvn/userguide/3_1_1_6.htm': 8,\n",
       "             '/statistics/1995/Jan/Jan95.html': 4,\n",
       "             '/shuttle/missions/sts-61/movies/hub2.mpg': 4,\n",
       "             '/HISTORY/APOLLO/APPOLO-13/APPOLO-13.HTML': 1,\n",
       "             '/s...ters/enterprise.html': 1,\n",
       "             '/shuttle/missions/sts-71/images/KSC-95EC-0870.jpg': 121,\n",
       "             '/shuttle/missions/sts-61/mcc07.txt': 1,\n",
       "             '/shuttlecountdown': 1,\n",
       "             '/history/apollo/apollo-13/images': 2,\n",
       "             '/sts-59': 1,\n",
       "             '/shuttle/missions/astro.gif': 1,\n",
       "             '/shuttle/technolgoy/sts-nesref/stsref.html': 1,\n",
       "             '/shuttle/missions/status/index': 3,\n",
       "             '/persons/astronauts/e-to-h/GutierrezSM.txt': 9,\n",
       "             '/shuttle/missions/sts-70/images/KSC-95EC-1054.jpg': 34,\n",
       "             '/shuttle/technology/sts-newsref/sts-acronyms.html': 200,\n",
       "             '/history/apollo/apollo-13/apollo-13.info.html': 5,\n",
       "             '/sts-70/landing/orbiter/': 1,\n",
       "             '/hist/apollo/apollo-13/apollo-13.html': 2,\n",
       "             '/shuttle/missions/sts-9/mission-sts-9.html': 371,\n",
       "             '/shuttle/missions/status/r91-16': 1,\n",
       "             '/shuttle/missions/status/r153-92.ksc': 1,\n",
       "             '/history/apollo/apollo-11/images/69HC635.GIF': 81,\n",
       "             '/mission/': 1,\n",
       "             '/shuttle/missions/sts-69/movies/': 214,\n",
       "             '/shuttle/missions/sts-71/news/sts-71-mcc-08.txt': 107,\n",
       "             '/shuttle/missions/61-c/docs/': 4,\n",
       "             '/history/apollo/apollo-13-info.html': 21,\n",
       "             '/shuttle/mission/mission.hmml': 1,\n",
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       "             '/history/apollo.html': 27,\n",
       "             '/shuttle/missions/51-l/images/86HC125.GIF': 421,\n",
       "             '/shuttle/missions/51-d/images/85HC97.GIF': 2,\n",
       "             '/ksc..html': 2,\n",
       "             '/payloads/org/cm.html': 7,\n",
       "             '/mdss/dcy2.gif': 840,\n",
       "             '/history/spollo/apollo-13/apollo-13-info.html': 2,\n",
       "             '/AIAA/': 1,\n",
       "             '/gtbin/cdt_main.pl': 1,\n",
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       "             '/images/cdrom-1-95/img0001.jpg': 33,\n",
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       "             '/msfc/crew/lawrence-small.gif': 4,\n",
       "             '/shuttle/missions/sts-70/mission-sts-': 7,\n",
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       "             '/shuttle/technology/sts-newsref/sts-cron-72.html': 40,\n",
       "             '/history/apollo/pad-abort-test-1/': 12,\n",
       "             '/shuttle/missions/sts-70/70crew.jpg': 33,\n",
       "             '/msfc/crew/jernigan.wav': 5,\n",
       "             '/elv/DOCS/LLV_DATE.HTM': 3,\n",
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       "             '/history/Apollo/apollo-13.html': 1,\n",
       "             '/shuttle/missions/sts-3/': 33,\n",
       "             '/winvn/winvn.html': 2,\n",
       "             '/software/winvn/userguide/3_4.htm': 4,\n",
       "             '/procurement/business/boc.htm': 5,\n",
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       "             '/shittle/countdown/': 1,\n",
       "             '/shuttle/countdown/lps/omr/omr.html': 206,\n",
       "             '/history/apollo/www': 1,\n",
       "             '/shuttle/missions/sts-70/images/temp/KSC-95EC-0575.jpg': 1,\n",
       "             '/elv/elvhead3.gif': 1646,\n",
       "             '/orbit/': 2,\n",
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       "             '/shuttle/missions/news/1991/h04.02.91': 1,\n",
       "             '/shuttle/resources/resources.html': 4,\n",
       "             '/history/appolo/appolo-13.html': 1,\n",
       "             '/ksc.html/facts/about_ksc.html': 5,\n",
       "             '/LDAR/LDARhp.html': 9,\n",
       "             '/history/skylab/skylab-3.html': 246,\n",
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       "             '/icon/redball.gif': 42,\n",
       "             '/news/sci.space.news/1727': 7,\n",
       "             '/HISTORY/APOLLO/APOLLO-13/APOLLO-13.HTML-': 2,\n",
       "             '/history/apollo/apollo-13/apollo/13.html': 1,\n",
       "             '/shuttle/missions/sts-43/images/91HC594.GIF': 2,\n",
       "             '/home%20page': 1,\n",
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       "             '/shuttle/technology/images/sts_spec_6-small.gif': 1841,\n",
       "             '/shuttle/missions/sts-43/sts-43-patch.jpg': 11,\n",
       "             '/shuttle/missions/status/r89-171': 1,\n",
       "             '/history/apollo/as-201/images/as-201-launch-small.gif': 13,\n",
       "             '/shuttle/missions/sts-64/sts-64-crew.txt': 2,\n",
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       "             '/software//winvn/icons/image.xbm': 1,\n",
       "             '/www/software/winvn/WINVN.HTML': 2,\n",
       "             '/wxworld/images/IMAGE6pNgmSfc/95072712_00.GIF': 2,\n",
       "             '/facilities/hq.html': 70,\n",
       "             '/payloads/org/cg-esd.html': 5,\n",
       "             '/history/apollo/apollo13/apollo13.htm': 2,\n",
       "             '/news/sci.space.news/archive/sci-space-news-25-jan-1995-75.txt': 16,\n",
       "             '/shuttle/missions/sts-76/sts-76-info.html': 54,\n",
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       "             '/software/winvn/userguide/winvn3.gif': 7,\n",
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       "             '/biomed/climate/gif/f22pcfinmed.gif': 3,\n",
       "             '/history/apollo/as-202/': 10,\n",
       "             '/shuttle/missions/51-j/': 31,\n",
       "             '/sts-70/green/': 1,\n",
       "             '/software/winvn/wvsmall.gif': 5871,\n",
       "             '/history/apollo/apollo/-13/apollo-13-info.html': 1,\n",
       "             '/statistics/1995/Jul/Jul95_daily_byte.gif': 12,\n",
       "             '/shuttle/missions/sts-65/news/sts-65-pocc-23.txt': 1,\n",
       "             '/biomed/wwwicons/warning.gif': 32,\n",
       "             '/shuttle/countdown/lps/sts-71-s-5-i3.mpg': 1,\n",
       "             '/shuttle/missions/51-l/www.yahoo.com': 1,\n",
       "             '/sts-70/orbiter/': 1,\n",
       "             '/shuttle/missions/sts-67/news/sts-67-pocc-20.txt': 1,\n",
       "             '/persons/astronauts/q-to-t/SullivanKD.txt': 26,\n",
       "             '/msfc/description/ips-small.gif': 48,\n",
       "             '/history/apollo/apollo-13/docs/': 1693,\n",
       "             '/software/winvn/userguide/winvn1.gif': 38,\n",
       "             '/persons/astronauts/a-to-d/ConradCC.txt': 13,\n",
       "             '/history/apollo/apollo-12/images/69HC1326.GIF': 40,\n",
       "             '/SOFTWARE/WINUM/WINUM.HTML': 1,\n",
       "             '/images/ksclogo-scanned.gif': 15,\n",
       "             '/shuttle/missions/sts-5/images/82HC557.GIF': 6,\n",
       "             '/shuttle/missions/sts-67/images/KSC-95EC-0387.txt': 9,\n",
       "             '/shuttle/missions/sts-67/images/KSC-95EC-0383.gif': 62,\n",
       "             '/msfc/crew/food.html': 11,\n",
       "             '/mfsc/astro_home.html': 1,\n",
       "             '/shuttle/missions/sts-68/sts-68-press-kit.txt': 40,\n",
       "             '/shuttle/missions/status/r88-113': 1,\n",
       "             '/news/sci.space.news/archive/sci-space-news-12-apr-1995-61.txt': 12,\n",
       "             '/shuttle/missions/sts-67/sts-67/images/KSC-95EC-0396-small.gif': 4,\n",
       "             '/ksc.html/www/shuttle/technology': 1,\n",
       "             '/news/sci.space.news/2053': 1,\n",
       "             '/news/sci.space.news/501': 1,\n",
       "             '/news/sci.space.news/728': 3,\n",
       "             '/images/rss.gif': 1435,\n",
       "             '/shuttle/missions/sts-71/images/KSC-95EC-0907.jpg': 242,\n",
       "             '/software/wunvn/winvn.html': 1,\n",
       "             '/shuttle/missions/sts-71/images/inside4=icon.gif': 1,\n",
       "             '/payloads/processing/ppart2a.gif': 1,\n",
       "             '/msfc/crew/astronaut.html': 7,\n",
       "             '/bigspot.com': 1,\n",
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       "             '/shuttle/': 816,\n",
       "             '/shuttle/missions/51-f/51-f-info.html': 13,\n",
       "             '/biomed/wetlands/gif/legend.gif': 4,\n",
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       "             '/shuttle/countdown/liftoff.htmll': 1,\n",
       "             '/history/apollo/apollo_13/apollo13.html': 1,\n",
       "             '/history/apollo/sa-10/sa-10-patch-small.gif': 3,\n",
       "             '/shuttle/countdown/lps/images/C-11-12-large.gif': 18,\n",
       "             '/biomed/threat/gif/perfinmed.gif': 1,\n",
       "             '/shuttle/missions/sts-74/docs/': 83,\n",
       "             '/nasa/nasa_hottopics.html': 3,\n",
       "             '/shuttle/missions/sts-35/sts-35-patch-small.gif': 243,\n",
       "             '/shuttle/missions/sts-70/images/holes-in-et.gif': 689,\n",
       "             '/shuttle/missions/sts-67/images/ksc-95ec-0391.gif': 5,\n",
       "             '/shuttle/missions/sts-71/news/sts-71-mcc-19.txt': 81,\n",
       "             '/shuttle/missions/sts-68/news/': 15,\n",
       "             '/shuttle/missions/sts-1/sts-1-crew.jpg': 3,\n",
       "             '/payloads/processing/vpart7.html': 1,\n",
       "             '/shuttle/technology/images/srb_mod_compare_1.jpg': 60,\n",
       "             '/history/appollo/appollo-13/apollo-13-info.html': 1,\n",
       "             '/history/gemini/movies/': 4,\n",
       "             '/facilities/www.commerce.com/\\\\\\\\www.commerce.com\\\\cmt': 1,\n",
       "             '/shuttle/missions/sts-70/images/KSC-95EC-1000.jpg': 70,\n",
       "             '/shuttle/missions/sts-49/sts-49-launch.gif': 1,\n",
       "             '/pub/win3/winvn': 20,\n",
       "             '/history/apollo/apollo-17/images/': 260,\n",
       "             '/images/ssf.gif': 19,\n",
       "             '/shuttle/missions/sts-64/news/sts-64-mcc-03.txt': 2,\n",
       "             '/shuttle/missions/sts-59/news/': 5,\n",
       "             '/shuttle/missions/sts-60/news': 7,\n",
       "             ...})"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from collections import defaultdict\n",
    "\n",
    "# нас интересуют урлы без параметров, параметры могут быть и через хеш, и через вопрос\n",
    "# отделим их с помощью регэкспа\n",
    "delim = re.compile(\"[#?]\")\n",
    "\n",
    "counts = defaultdict(int)\n",
    "with open(\"./access_log_Jul95\", encoding=\"ascii\", errors=\"replace\") as datafile:\n",
    "    for line in datafile:\n",
    "        fields = parse_line_re(line)\n",
    "        if fields:\n",
    "            uri = delim.split(fields[3])[0]\n",
    "            counts[uri] += 1\n",
    "counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import json\n",
    "with open(\"urls.json\", \"w\") as of:\n",
    "    json.dump(counts, of, indent=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Задачка 3: топ 10 урлов\n",
    "\n",
    "**Задание** Найти 10 самых посещаемых урлов и число посещений для каждого из них\n",
    "\n",
    "**Заготовка кода**\n",
    "```\n",
    "import re\n",
    "from collections import defaultdict\n",
    "\n",
    "regex = re.compile('([\\w\\-\\.@\\'*,:/#&]+) - - \\[(.*?)\\] \"([A-Z]+)\\s+(\\S+).*\" (\\d+) (-|\\d+)')\n",
    "def parse_line_re(line):\n",
    "    try:\n",
    "        return regex.match(line).groups()\n",
    "    except AttributeError:\n",
    "        return None\n",
    "\n",
    "# нас интересуют урлы без параметров, параметры могут быть и через хеш, и через вопрос\n",
    "# отделим их с помощью регэкспа\n",
    "delim = re.compile(\"[#?]\")\n",
    "\n",
    "def count_urls():\n",
    "    counts = defaultdict(int)\n",
    "    with open(\"./access_log_Jul95\", encoding=\"ascii\", errors=\"replace\") as datafile:\n",
    "        for line in datafile:\n",
    "            fields = parse_line_re(line)\n",
    "            if fields:\n",
    "                uri = delim.split(fields[3])[0]\n",
    "                counts[uri] += 1\n",
    "    return counts\n",
    "    \n",
    "def top_ten():\n",
    "    # ваш код здесь\n",
    "    return []\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('/images/NASA-logosmall.gif', 111388),\n",
       " ('/images/KSC-logosmall.gif', 89639),\n",
       " ('/images/MOSAIC-logosmall.gif', 60468),\n",
       " ('/images/USA-logosmall.gif', 60014),\n",
       " ('/images/WORLD-logosmall.gif', 59489),\n",
       " ('/images/ksclogo-medium.gif', 58802),\n",
       " ('/images/launch-logo.gif', 40871),\n",
       " ('/shuttle/countdown/', 40279),\n",
       " ('/ksc.html', 40232),\n",
       " ('/images/ksclogosmall.gif', 33585)]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#andrey-yantsen\n",
    "import json\n",
    "urls = json.loads(open('urls.json').read())\n",
    "list(sorted(urls.items(), key=lambda x: x[1], reverse=True))[:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n",
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n",
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('/images/NASA-logosmall.gif', 111388),\n",
       " ('/images/KSC-logosmall.gif', 89639),\n",
       " ('/images/MOSAIC-logosmall.gif', 60468),\n",
       " ('/images/USA-logosmall.gif', 60014),\n",
       " ('/images/WORLD-logosmall.gif', 59489),\n",
       " ('/images/ksclogo-medium.gif', 58802),\n",
       " ('/images/launch-logo.gif', 40871),\n",
       " ('/shuttle/countdown/', 40279),\n",
       " ('/ksc.html', 40232),\n",
       " ('/images/ksclogosmall.gif', 33585)]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# не оптимально, но нас устроит\n",
    "list(reversed(sorted(counts.items(), key=lambda x: x[1])))[:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Подключаем Pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.5/site-packages/matplotlib/__init__.py:872: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.\n",
      "  warnings.warn(self.msg_depr % (key, alt_key))\n"
     ]
    }
   ],
   "source": [
    "import numpy as np    # numpy\n",
    "import pandas as pd   # pandas\n",
    "\n",
    "# альтернативная библиотека для визуализации\n",
    "# https://github.com/mwaskom/seaborn\n",
    "import seaborn as sns\n",
    "\n",
    "# подключаем графику прямо в браузер\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>pythonista</th>\n",
       "      <th>salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Stuart Bloom</td>\n",
       "      <td>False</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sheldon Cooper</td>\n",
       "      <td>True</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Amy Farrah Fowler</td>\n",
       "      <td>False</td>\n",
       "      <td>1200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Radjesh Koothrappali</td>\n",
       "      <td>False</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Howard Wolowitz</td>\n",
       "      <td>False</td>\n",
       "      <td>1500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Bernadette Rostenkowski</td>\n",
       "      <td>True</td>\n",
       "      <td>2100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Penny</td>\n",
       "      <td>True</td>\n",
       "      <td>5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Leonard Hofstadter</td>\n",
       "      <td>True</td>\n",
       "      <td>2500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      name pythonista  salary\n",
       "0             Stuart Bloom      False      50\n",
       "1           Sheldon Cooper       True    2000\n",
       "2        Amy Farrah Fowler      False    1200\n",
       "3     Radjesh Koothrappali      False    1000\n",
       "4          Howard Wolowitz      False    1500\n",
       "5  Bernadette Rostenkowski       True    2100\n",
       "6                    Penny       True    5000\n",
       "7       Leonard Hofstadter       True    2500"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# основное понятие в Pandas -- DataFrame\n",
    "df = pd.DataFrame([\n",
    "        [\"Stuart Bloom\", False, 50],\n",
    "        [\"Sheldon Cooper\", True, 2000],\n",
    "        [\"Amy Farrah Fowler\", False, 1200],\n",
    "        [\"Radjesh Koothrappali\", False, 1000],\n",
    "        [\"Howard Wolowitz\", False, 1500],\n",
    "        [\"Bernadette Rostenkowski\", True, 2100],\n",
    "        [\"Penny\", True, 5000],\n",
    "        [\"Leonard Hofstadter\", True, 2500],\n",
    "    ], columns=\"name pythonista salary\".split())\n",
    "\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>pythonista</th>\n",
       "      <th>salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sheldon Cooper</td>\n",
       "      <td>True</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Bernadette Rostenkowski</td>\n",
       "      <td>True</td>\n",
       "      <td>2100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Penny</td>\n",
       "      <td>True</td>\n",
       "      <td>5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Leonard Hofstadter</td>\n",
       "      <td>True</td>\n",
       "      <td>2500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      name pythonista  salary\n",
       "1           Sheldon Cooper       True    2000\n",
       "5  Bernadette Rostenkowski       True    2100\n",
       "6                    Penny       True    5000\n",
       "7       Leonard Hofstadter       True    2500"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# селектим только питонистов\n",
    "df[df['pythonista']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    False\n",
       "1     True\n",
       "2    False\n",
       "3    False\n",
       "4    False\n",
       "5     True\n",
       "6     True\n",
       "7     True\n",
       "Name: pythonista, dtype: bool"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# как это работает? Индексация по массиву значений.\n",
    "df['pythonista']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>pythonista</th>\n",
       "      <th>salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Amy Farrah Fowler</td>\n",
       "      <td>False</td>\n",
       "      <td>1200</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                name pythonista  salary\n",
       "2  Amy Farrah Fowler      False    1200"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[[False, False, True, False, False, False, False, False]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pythonista</th>\n",
       "      <th>salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>False</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>True</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>False</td>\n",
       "      <td>1200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>False</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "      <td>1500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>True</td>\n",
       "      <td>2100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>True</td>\n",
       "      <td>5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>True</td>\n",
       "      <td>2500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  pythonista  salary\n",
       "0      False      50\n",
       "1       True    2000\n",
       "2      False    1200\n",
       "3      False    1000\n",
       "4      False    1500\n",
       "5       True    2100\n",
       "6       True    5000\n",
       "7       True    2500"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# выберем только интересные нам колонки\n",
    "df[['pythonista', 'salary']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.series.Series'>\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0    False\n",
       "1     True\n",
       "2    False\n",
       "3    False\n",
       "4    False\n",
       "5     True\n",
       "6     True\n",
       "7     True\n",
       "Name: pythonista, dtype: bool"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(type(df['pythonista']))\n",
    "df['pythonista']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.series.Series'>\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0    False\n",
       "1     True\n",
       "2    False\n",
       "3    False\n",
       "4    False\n",
       "5     True\n",
       "6     True\n",
       "7     True\n",
       "Name: pythonista, dtype: bool"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# можно и так, но надо быть аккуратнее. Если колонка называется, например, size,\n",
    "# то не сработает -- потому что есть функция с таким же названием\n",
    "print(type(df.pythonista))\n",
    "df.pythonista"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pythonista</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  pythonista\n",
       "0      False\n",
       "1       True\n",
       "2      False\n",
       "3      False\n",
       "4      False\n",
       "5       True\n",
       "6       True\n",
       "7       True"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# выбираем одну колонку как датафрейм\n",
    "print(type(df[['pythonista']]))\n",
    "df[['pythonista']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>pythonista</th>\n",
       "      <th>salary</th>\n",
       "      <th>first_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Stuart Bloom</td>\n",
       "      <td>False</td>\n",
       "      <td>50</td>\n",
       "      <td>Stuart</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sheldon Cooper</td>\n",
       "      <td>True</td>\n",
       "      <td>2000</td>\n",
       "      <td>Sheldon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Amy Farrah Fowler</td>\n",
       "      <td>False</td>\n",
       "      <td>1200</td>\n",
       "      <td>Amy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Radjesh Koothrappali</td>\n",
       "      <td>False</td>\n",
       "      <td>1000</td>\n",
       "      <td>Radjesh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Howard Wolowitz</td>\n",
       "      <td>False</td>\n",
       "      <td>1500</td>\n",
       "      <td>Howard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Bernadette Rostenkowski</td>\n",
       "      <td>True</td>\n",
       "      <td>2100</td>\n",
       "      <td>Bernadette</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Penny</td>\n",
       "      <td>True</td>\n",
       "      <td>5000</td>\n",
       "      <td>Penny</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Leonard Hofstadter</td>\n",
       "      <td>True</td>\n",
       "      <td>2500</td>\n",
       "      <td>Leonard</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      name pythonista  salary  first_name\n",
       "0             Stuart Bloom      False      50      Stuart\n",
       "1           Sheldon Cooper       True    2000     Sheldon\n",
       "2        Amy Farrah Fowler      False    1200         Amy\n",
       "3     Radjesh Koothrappali      False    1000     Radjesh\n",
       "4          Howard Wolowitz      False    1500      Howard\n",
       "5  Bernadette Rostenkowski       True    2100  Bernadette\n",
       "6                    Penny       True    5000       Penny\n",
       "7       Leonard Hofstadter       True    2500     Leonard"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# добавим новую колонку, приготовив ее из старой\n",
    "df['first_name'] = df['name'].apply(lambda x: x.split()[0])\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Задачка 4: Добавить фамилию\n",
    "\n",
    "**Задание** Добавить колонку с фамилией. Если фамилия двойная, в колонке должны быть обе ее части. Если фамилии нет, то в колонке должно быть None\n",
    "\n",
    "**Заготовка кода**\n",
    "```\n",
    "df = pd.DataFrame([\n",
    "        [\"Stuart Bloom\", False, 50],\n",
    "        [\"Sheldon Cooper\", True, 2000],\n",
    "        [\"Amy Farrah Fowler\", False, 1200],\n",
    "        [\"Radjesh Koothrappali\", False, 1000],\n",
    "        [\"Howard Wolowitz\", False, 1500],\n",
    "        [\"Bernadette Rostenkowski\", True, 2100],\n",
    "        [\"Penny\", True, 5000],\n",
    "        [\"Leonard Hofstadter\", True, 2500],\n",
    "    ], columns=\"name pythonista salary\".split())\n",
    "    \n",
    "# тут ваш код\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0           Bloom\n",
       "1          Cooper\n",
       "2          Farrah\n",
       "3    Koothrappali\n",
       "4        Wolowitz\n",
       "5    Rostenkowski\n",
       "6                \n",
       "7      Hofstadter\n",
       "Name: name, dtype: object"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# andrey-yantsen\n",
    "df['name'].apply(lambda x: '' if ' ' not in x else x.split(' ')[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0           Bloom\n",
       "1          Cooper\n",
       "2          Farrah\n",
       "3    Koothrappali\n",
       "4        Wolowitz\n",
       "5    Rostenkowski\n",
       "6           Penny\n",
       "7      Hofstadter\n",
       "Name: name, dtype: object"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def ln(i):                            \n",
    "    names = i.split()\n",
    "    try:\n",
    "        return names[1]\n",
    "    except IndexError:\n",
    "        return names[0]\n",
    "df['name'].apply(ln)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0            Bloom\n",
       "1           Cooper\n",
       "2    Farrah Fowler\n",
       "3     Koothrappali\n",
       "4         Wolowitz\n",
       "5     Rostenkowski\n",
       "6             None\n",
       "7       Hofstadter\n",
       "Name: name, dtype: object"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#khudyakovavi\n",
    "df['name'].apply(lambda x: None if ' ' not in x else ' '.join(x.split()[1:]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n",
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n",
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>pythonista</th>\n",
       "      <th>salary</th>\n",
       "      <th>first_name</th>\n",
       "      <th>surname</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Stuart Bloom</td>\n",
       "      <td>False</td>\n",
       "      <td>50</td>\n",
       "      <td>Stuart</td>\n",
       "      <td>Bloom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sheldon Cooper</td>\n",
       "      <td>True</td>\n",
       "      <td>2000</td>\n",
       "      <td>Sheldon</td>\n",
       "      <td>Cooper</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Amy Farrah Fowler</td>\n",
       "      <td>False</td>\n",
       "      <td>1200</td>\n",
       "      <td>Amy</td>\n",
       "      <td>Farrah Fowler</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Radjesh Koothrappali</td>\n",
       "      <td>False</td>\n",
       "      <td>1000</td>\n",
       "      <td>Radjesh</td>\n",
       "      <td>Koothrappali</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Howard Wolowitz</td>\n",
       "      <td>False</td>\n",
       "      <td>1500</td>\n",
       "      <td>Howard</td>\n",
       "      <td>Wolowitz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Bernadette Rostenkowski</td>\n",
       "      <td>True</td>\n",
       "      <td>2100</td>\n",
       "      <td>Bernadette</td>\n",
       "      <td>Rostenkowski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Penny</td>\n",
       "      <td>True</td>\n",
       "      <td>5000</td>\n",
       "      <td>Penny</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Leonard Hofstadter</td>\n",
       "      <td>True</td>\n",
       "      <td>2500</td>\n",
       "      <td>Leonard</td>\n",
       "      <td>Hofstadter</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      name pythonista  salary  first_name        surname\n",
       "0             Stuart Bloom      False      50      Stuart          Bloom\n",
       "1           Sheldon Cooper       True    2000     Sheldon         Cooper\n",
       "2        Amy Farrah Fowler      False    1200         Amy  Farrah Fowler\n",
       "3     Radjesh Koothrappali      False    1000     Radjesh   Koothrappali\n",
       "4          Howard Wolowitz      False    1500      Howard       Wolowitz\n",
       "5  Bernadette Rostenkowski       True    2100  Bernadette   Rostenkowski\n",
       "6                    Penny       True    5000       Penny           None\n",
       "7       Leonard Hofstadter       True    2500     Leonard     Hofstadter"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def split_surname(name):\n",
    "    parts = name.split(\" \", 1)\n",
    "    if len(parts) > 1:\n",
    "        return parts[1]\n",
    "    else:\n",
    "        return None\n",
    "\n",
    "df['surname'] = df['name'].apply(split_surname)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>salary</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pythonista</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>False</th>\n",
       "      <td>937.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>2900.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            salary\n",
       "pythonista        \n",
       "False        937.5\n",
       "True        2900.0"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# средняя зарплата питонистов и не питонистов\n",
    "df.groupby('pythonista').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>salary</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pythonista</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>False</th>\n",
       "      <td>1100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>2300</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            salary\n",
       "pythonista        \n",
       "False         1100\n",
       "True          2300"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Стюарт и Пенни портят всю картину =) Попробуем медиану\n",
    "df.groupby('pythonista').median()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x10db0d860>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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lIEkqWA6SpILlIEkqWA6SpILlIEkqWA6SpMLKum44IoaA3wLWAy8C783ML9WVZ6lMTbU4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\nSSpYDpKkguUgSSpYDpKkguUgSSr8f5BzPDzFe4uyAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10da6ffd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# не доверяйте средним значениям за весь тест. Вы можете упустить выбросы, например, пики из за GC.\n",
    "sns.plt.scatter(df['pythonista'], df['salary'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Загрузим лог в Pandas\n",
    "\n",
    "**вспомогательные материалы**: [Генераторы](https://wiki.python.org/moin/Generators) в python\n",
    "\n",
    "**код**:\n",
    "\n",
    "```\n",
    "regex = re.compile('([\\w\\-\\.@\\'*,:/#&]+) - - \\[(.*?)\\] \"([A-Z]+)\\s+(\\S+).*\" (\\d+) (-|\\d+)')\n",
    "delim = re.compile(\"[#?]\")\n",
    "\n",
    "def parse_log_re(file):\n",
    "    for line in file:\n",
    "        try:\n",
    "            # заодно отделим параметры от урла\n",
    "            fields = regex.match(line).groups()\n",
    "            uri_parts = delim.split(fields[3], 1)\n",
    "            uri = uri_parts[0]\n",
    "            if len(uri_parts) > 1:\n",
    "                params = uri_parts[1]\n",
    "            else:\n",
    "                params = None\n",
    "            yield list(fields) + [uri, params]\n",
    "        except AttributeError:\n",
    "            pass\n",
    "\n",
    "columns = \"host ts method uri code size url params\".split()\n",
    "with open(\"./access_log_Jul95\", encoding=\"ascii\", errors=\"replace\") as datafile:\n",
    "    df = pd.DataFrame.from_records(parse_log_re(datafile), columns=columns)\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "regex = re.compile('([\\w\\-\\.@\\'*,:/#&]+) - - \\[(.*?)\\] \"([A-Z]+)\\s+(\\S+).*\" (\\d+) (-|\\d+)')\n",
    "delim = re.compile(\"[#?]\")\n",
    "\n",
    "def parse_log_re(file):\n",
    "    for line in file:\n",
    "        try:\n",
    "            # заодно отделим параметры от урла\n",
    "            fields = regex.match(line).groups()\n",
    "            uri_parts = delim.split(fields[3], 1)\n",
    "            uri = uri_parts[0]\n",
    "            if len(uri_parts) > 1:\n",
    "                params = uri_parts[1]\n",
    "            else:\n",
    "                params = None\n",
    "            yield list(fields) + [uri, params]\n",
    "        except AttributeError:\n",
    "            pass\n",
    "\n",
    "columns = \"host ts method uri code size url params\".split()\n",
    "with open(\"./access_log_Jul95\", encoding=\"ascii\", errors=\"replace\") as datafile:\n",
    "    df = pd.DataFrame.from_records(parse_log_re(datafile), columns=columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>host</th>\n",
       "      <th>ts</th>\n",
       "      <th>method</th>\n",
       "      <th>uri</th>\n",
       "      <th>code</th>\n",
       "      <th>size</th>\n",
       "      <th>url</th>\n",
       "      <th>params</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>199.72.81.55</td>\n",
       "      <td>01/Jul/1995:00:00:01 -0400</td>\n",
       "      <td>GET</td>\n",
       "      <td>/history/apollo/</td>\n",
       "      <td>200</td>\n",
       "      <td>6245</td>\n",
       "      <td>/history/apollo/</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>unicomp6.unicomp.net</td>\n",
       "      <td>01/Jul/1995:00:00:06 -0400</td>\n",
       "      <td>GET</td>\n",
       "      <td>/shuttle/countdown/</td>\n",
       "      <td>200</td>\n",
       "      <td>3985</td>\n",
       "      <td>/shuttle/countdown/</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>199.120.110.21</td>\n",
       "      <td>01/Jul/1995:00:00:09 -0400</td>\n",
       "      <td>GET</td>\n",
       "      <td>/shuttle/missions/sts-73/mission-sts-73.html</td>\n",
       "      <td>200</td>\n",
       "      <td>4085</td>\n",
       "      <td>/shuttle/missions/sts-73/mission-sts-73.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>burger.letters.com</td>\n",
       "      <td>01/Jul/1995:00:00:11 -0400</td>\n",
       "      <td>GET</td>\n",
       "      <td>/shuttle/countdown/liftoff.html</td>\n",
       "      <td>304</td>\n",
       "      <td>0</td>\n",
       "      <td>/shuttle/countdown/liftoff.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>199.120.110.21</td>\n",
       "      <td>01/Jul/1995:00:00:11 -0400</td>\n",
       "      <td>GET</td>\n",
       "      <td>/shuttle/missions/sts-73/sts-73-patch-small.gif</td>\n",
       "      <td>200</td>\n",
       "      <td>4179</td>\n",
       "      <td>/shuttle/missions/sts-73/sts-73-patch-small.gif</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   host                          ts method  \\\n",
       "0          199.72.81.55  01/Jul/1995:00:00:01 -0400    GET   \n",
       "1  unicomp6.unicomp.net  01/Jul/1995:00:00:06 -0400    GET   \n",
       "2        199.120.110.21  01/Jul/1995:00:00:09 -0400    GET   \n",
       "3    burger.letters.com  01/Jul/1995:00:00:11 -0400    GET   \n",
       "4        199.120.110.21  01/Jul/1995:00:00:11 -0400    GET   \n",
       "\n",
       "                                               uri code  size  \\\n",
       "0                                 /history/apollo/  200  6245   \n",
       "1                              /shuttle/countdown/  200  3985   \n",
       "2     /shuttle/missions/sts-73/mission-sts-73.html  200  4085   \n",
       "3                  /shuttle/countdown/liftoff.html  304     0   \n",
       "4  /shuttle/missions/sts-73/sts-73-patch-small.gif  200  4179   \n",
       "\n",
       "                                               url params  \n",
       "0                                 /history/apollo/   None  \n",
       "1                              /shuttle/countdown/   None  \n",
       "2     /shuttle/missions/sts-73/mission-sts-73.html   None  \n",
       "3                  /shuttle/countdown/liftoff.html   None  \n",
       "4  /shuttle/missions/sts-73/sts-73-patch-small.gif   None  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "host      object\n",
       "ts        object\n",
       "method    object\n",
       "uri       object\n",
       "code      object\n",
       "size      object\n",
       "url       object\n",
       "params    object\n",
       "dtype: object"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df[\"size\"] = pd.to_numeric(df[\"size\"], errors='coerce')\n",
    "df[\"ts\"] = pd.to_datetime(df[\"ts\"], format=\"%d/%b/%Y:%H:%M:%S -0400\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "host              object\n",
       "ts        datetime64[ns]\n",
       "method            object\n",
       "uri               object\n",
       "code              object\n",
       "size             float64\n",
       "url               object\n",
       "params            object\n",
       "dtype: object"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>host</th>\n",
       "      <th>ts</th>\n",
       "      <th>method</th>\n",
       "      <th>uri</th>\n",
       "      <th>code</th>\n",
       "      <th>size</th>\n",
       "      <th>url</th>\n",
       "      <th>params</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>199.72.81.55</td>\n",
       "      <td>1995-07-01 00:00:01</td>\n",
       "      <td>GET</td>\n",
       "      <td>/history/apollo/</td>\n",
       "      <td>200</td>\n",
       "      <td>6245.0</td>\n",
       "      <td>/history/apollo/</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>unicomp6.unicomp.net</td>\n",
       "      <td>1995-07-01 00:00:06</td>\n",
       "      <td>GET</td>\n",
       "      <td>/shuttle/countdown/</td>\n",
       "      <td>200</td>\n",
       "      <td>3985.0</td>\n",
       "      <td>/shuttle/countdown/</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>199.120.110.21</td>\n",
       "      <td>1995-07-01 00:00:09</td>\n",
       "      <td>GET</td>\n",
       "      <td>/shuttle/missions/sts-73/mission-sts-73.html</td>\n",
       "      <td>200</td>\n",
       "      <td>4085.0</td>\n",
       "      <td>/shuttle/missions/sts-73/mission-sts-73.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>burger.letters.com</td>\n",
       "      <td>1995-07-01 00:00:11</td>\n",
       "      <td>GET</td>\n",
       "      <td>/shuttle/countdown/liftoff.html</td>\n",
       "      <td>304</td>\n",
       "      <td>0.0</td>\n",
       "      <td>/shuttle/countdown/liftoff.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>199.120.110.21</td>\n",
       "      <td>1995-07-01 00:00:11</td>\n",
       "      <td>GET</td>\n",
       "      <td>/shuttle/missions/sts-73/sts-73-patch-small.gif</td>\n",
       "      <td>200</td>\n",
       "      <td>4179.0</td>\n",
       "      <td>/shuttle/missions/sts-73/sts-73-patch-small.gif</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   host                  ts method  \\\n",
       "0          199.72.81.55 1995-07-01 00:00:01    GET   \n",
       "1  unicomp6.unicomp.net 1995-07-01 00:00:06    GET   \n",
       "2        199.120.110.21 1995-07-01 00:00:09    GET   \n",
       "3    burger.letters.com 1995-07-01 00:00:11    GET   \n",
       "4        199.120.110.21 1995-07-01 00:00:11    GET   \n",
       "\n",
       "                                               uri code    size  \\\n",
       "0                                 /history/apollo/  200  6245.0   \n",
       "1                              /shuttle/countdown/  200  3985.0   \n",
       "2     /shuttle/missions/sts-73/mission-sts-73.html  200  4085.0   \n",
       "3                  /shuttle/countdown/liftoff.html  304     0.0   \n",
       "4  /shuttle/missions/sts-73/sts-73-patch-small.gif  200  4179.0   \n",
       "\n",
       "                                               url params  \n",
       "0                                 /history/apollo/   None  \n",
       "1                              /shuttle/countdown/   None  \n",
       "2     /shuttle/missions/sts-73/mission-sts-73.html   None  \n",
       "3                  /shuttle/countdown/liftoff.html   None  \n",
       "4  /shuttle/missions/sts-73/sts-73-patch-small.gif   None  "
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "~a: [False False  True  True]\n",
      "a & b: [ True False False False]\n",
      "a | b: [ True  True  True False]\n"
     ]
    }
   ],
   "source": [
    "# булевы операции в numpy\n",
    "a = np.array([True, True, False, False])\n",
    "b = np.array([True, False, True, False])\n",
    "print(\"~a:\", ~a)\n",
    "print(\"a & b:\", a & b)\n",
    "print(\"a | b:\", a | b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>host</th>\n",
       "      <th>ts</th>\n",
       "      <th>method</th>\n",
       "      <th>uri</th>\n",
       "      <th>code</th>\n",
       "      <th>size</th>\n",
       "      <th>url</th>\n",
       "      <th>params</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>205.189.154.54</td>\n",
       "      <td>1995-07-01 00:01:06</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?99,176</td>\n",
       "      <td>302</td>\n",
       "      <td>110.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>99,176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>remote27.compusmart.ab.ca</td>\n",
       "      <td>1995-07-01 00:01:53</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?102,174</td>\n",
       "      <td>302</td>\n",
       "      <td>110.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>102,174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>onyx.southwind.net</td>\n",
       "      <td>1995-07-01 00:02:27</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?103,146</td>\n",
       "      <td>302</td>\n",
       "      <td>96.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>103,146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>gater3.sematech.org</td>\n",
       "      <td>1995-07-01 00:02:41</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?99,173</td>\n",
       "      <td>302</td>\n",
       "      <td>110.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>99,173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>onyx.southwind.net</td>\n",
       "      <td>1995-07-01 00:03:00</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?102,210</td>\n",
       "      <td>302</td>\n",
       "      <td>95.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>102,210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>lmsmith.tezcat.com</td>\n",
       "      <td>1995-07-01 00:03:13</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?103,175</td>\n",
       "      <td>302</td>\n",
       "      <td>110.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>103,175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>www-a1.proxy.aol.com</td>\n",
       "      <td>1995-07-01 00:03:20</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?107,144</td>\n",
       "      <td>302</td>\n",
       "      <td>96.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>107,144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>205.189.154.54</td>\n",
       "      <td>1995-07-01 00:03:45</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?108,176</td>\n",
       "      <td>302</td>\n",
       "      <td>110.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>108,176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>www-a1.proxy.aol.com</td>\n",
       "      <td>1995-07-01 00:04:01</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?99,113</td>\n",
       "      <td>302</td>\n",
       "      <td>111.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>99,113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>gater3.sematech.org</td>\n",
       "      <td>1995-07-01 00:04:31</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?370,274</td>\n",
       "      <td>302</td>\n",
       "      <td>68.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>370,274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>pme607.onramp.awinc.com</td>\n",
       "      <td>1995-07-01 00:04:54</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?99,178</td>\n",
       "      <td>302</td>\n",
       "      <td>110.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>99,178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>ix-sd11-26.ix.netcom.com</td>\n",
       "      <td>1995-07-01 00:05:06</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?107,144</td>\n",
       "      <td>302</td>\n",
       "      <td>96.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>107,144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>199.166.39.14</td>\n",
       "      <td>1995-07-01 00:05:21</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?302,275</td>\n",
       "      <td>302</td>\n",
       "      <td>98.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>302,275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376</th>\n",
       "      <td>gater4.sematech.org</td>\n",
       "      <td>1995-07-01 00:06:26</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?88,208</td>\n",
       "      <td>302</td>\n",
       "      <td>95.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>88,208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409</th>\n",
       "      <td>p06.eznets.canton.oh.us</td>\n",
       "      <td>1995-07-01 00:07:02</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?98,110</td>\n",
       "      <td>302</td>\n",
       "      <td>111.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>98,110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>446</th>\n",
       "      <td>teleman.pr.mcs.net</td>\n",
       "      <td>1995-07-01 00:07:35</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?102,172</td>\n",
       "      <td>302</td>\n",
       "      <td>110.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>102,172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>490</th>\n",
       "      <td>remote27.compusmart.ab.ca</td>\n",
       "      <td>1995-07-01 00:08:22</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?382,274</td>\n",
       "      <td>302</td>\n",
       "      <td>68.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>382,274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>504</th>\n",
       "      <td>ix-sd11-26.ix.netcom.com</td>\n",
       "      <td>1995-07-01 00:08:32</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?94,175</td>\n",
       "      <td>302</td>\n",
       "      <td>110.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>94,175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>512</th>\n",
       "      <td>ppp4.sunrem.com</td>\n",
       "      <td>1995-07-01 00:08:45</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?105,143</td>\n",
       "      <td>302</td>\n",
       "      <td>96.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>105,143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>520</th>\n",
       "      <td>www-a1.proxy.aol.com</td>\n",
       "      <td>1995-07-01 00:08:56</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?99,213</td>\n",
       "      <td>302</td>\n",
       "      <td>95.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>99,213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>537</th>\n",
       "      <td>ppp-mia-53.shadow.net</td>\n",
       "      <td>1995-07-01 00:09:18</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?99,150</td>\n",
       "      <td>302</td>\n",
       "      <td>96.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>99,150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542</th>\n",
       "      <td>199.120.91.6</td>\n",
       "      <td>1995-07-01 00:09:25</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?373,278</td>\n",
       "      <td>302</td>\n",
       "      <td>68.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>373,278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>558</th>\n",
       "      <td>net-1-141.eden.com</td>\n",
       "      <td>1995-07-01 00:09:47</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?376,273</td>\n",
       "      <td>302</td>\n",
       "      <td>68.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>376,273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</th>\n",
       "      <td>p06.eznets.canton.oh.us</td>\n",
       "      <td>1995-07-01 00:09:53</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?94,145</td>\n",
       "      <td>302</td>\n",
       "      <td>96.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>94,145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>594</th>\n",
       "      <td>ppp4.sunrem.com</td>\n",
       "      <td>1995-07-01 00:10:33</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?93,176</td>\n",
       "      <td>302</td>\n",
       "      <td>110.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>93,176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600</th>\n",
       "      <td>ppp-mia-53.shadow.net</td>\n",
       "      <td>1995-07-01 00:10:38</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?103,180</td>\n",
       "      <td>302</td>\n",
       "      <td>110.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>103,180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>604</th>\n",
       "      <td>p06.eznets.canton.oh.us</td>\n",
       "      <td>1995-07-01 00:10:43</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?382,271</td>\n",
       "      <td>302</td>\n",
       "      <td>68.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>382,271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>642</th>\n",
       "      <td>teleman.pr.mcs.net</td>\n",
       "      <td>1995-07-01 00:11:26</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?107,147</td>\n",
       "      <td>302</td>\n",
       "      <td>96.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>107,147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>646</th>\n",
       "      <td>205.157.131.144</td>\n",
       "      <td>1995-07-01 00:11:27</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?92,174</td>\n",
       "      <td>302</td>\n",
       "      <td>110.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>92,174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>670</th>\n",
       "      <td>ix-dfw13-20.ix.netcom.com</td>\n",
       "      <td>1995-07-01 00:11:44</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown?95,142</td>\n",
       "      <td>302</td>\n",
       "      <td>96.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown</td>\n",
       "      <td>95,142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1889169</th>\n",
       "      <td>130.184.141.116</td>\n",
       "      <td>1995-07-28 12:48:35</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70?57,182</td>\n",
       "      <td>302</td>\n",
       "      <td>96.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70</td>\n",
       "      <td>57,182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1889188</th>\n",
       "      <td>198.213.130.253</td>\n",
       "      <td>1995-07-28 12:48:48</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70?74,68</td>\n",
       "      <td>302</td>\n",
       "      <td>72.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70</td>\n",
       "      <td>74,68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1889234</th>\n",
       "      <td>internet.datalytics.com</td>\n",
       "      <td>1995-07-28 12:49:37</td>\n",
       "      <td>GET</td>\n",
       "      <td>/htbin/wais.pl?51-L</td>\n",
       "      <td>200</td>\n",
       "      <td>316.0</td>\n",
       "      <td>/htbin/wais.pl</td>\n",
       "      <td>51-L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1889312</th>\n",
       "      <td>198.60.146.157</td>\n",
       "      <td>1995-07-28 12:51:13</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70?63,154</td>\n",
       "      <td>302</td>\n",
       "      <td>111.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70</td>\n",
       "      <td>63,154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1889368</th>\n",
       "      <td>205.168.103.18</td>\n",
       "      <td>1995-07-28 12:52:30</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70?295,292</td>\n",
       "      <td>302</td>\n",
       "      <td>85.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70</td>\n",
       "      <td>295,292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1889422</th>\n",
       "      <td>205.168.103.18</td>\n",
       "      <td>1995-07-28 12:53:31</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70?264,144</td>\n",
       "      <td>302</td>\n",
       "      <td>97.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70</td>\n",
       "      <td>264,144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1889440</th>\n",
       "      <td>205.168.103.18</td>\n",
       "      <td>1995-07-28 12:53:47</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/fr?176,247</td>\n",
       "      <td>302</td>\n",
       "      <td>83.0</td>\n",
       "      <td>/cgi-bin/imagemap/fr</td>\n",
       "      <td>176,247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1889638</th>\n",
       "      <td>pcuvm2.nrl.navy.mil</td>\n",
       "      <td>1995-07-28 12:57:32</td>\n",
       "      <td>GET</td>\n",
       "      <td>/htbin/wais.pl?MAHRSI</td>\n",
       "      <td>200</td>\n",
       "      <td>4591.0</td>\n",
       "      <td>/htbin/wais.pl</td>\n",
       "      <td>MAHRSI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1889668</th>\n",
       "      <td>fester.sfasu.edu</td>\n",
       "      <td>1995-07-28 12:57:57</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70?65,218</td>\n",
       "      <td>302</td>\n",
       "      <td>110.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70</td>\n",
       "      <td>65,218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1889802</th>\n",
       "      <td>165.2.141.5</td>\n",
       "      <td>1995-07-28 12:59:55</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70?344,288</td>\n",
       "      <td>302</td>\n",
       "      <td>98.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70</td>\n",
       "      <td>344,288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1889811</th>\n",
       "      <td>165.2.141.5</td>\n",
       "      <td>1995-07-28 13:00:18</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70?55,69</td>\n",
       "      <td>302</td>\n",
       "      <td>72.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70</td>\n",
       "      <td>55,69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1889846</th>\n",
       "      <td>165.2.141.5</td>\n",
       "      <td>1995-07-28 13:01:06</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70?64,155</td>\n",
       "      <td>302</td>\n",
       "      <td>111.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70</td>\n",
       "      <td>64,155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1890092</th>\n",
       "      <td>128.95.78.19</td>\n",
       "      <td>1995-07-28 13:04:51</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70?351,284</td>\n",
       "      <td>302</td>\n",
       "      <td>98.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70</td>\n",
       "      <td>351,284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1890123</th>\n",
       "      <td>gateway.sgs-thomson.it</td>\n",
       "      <td>1995-07-28 13:05:18</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70?400,291</td>\n",
       "      <td>302</td>\n",
       "      <td>68.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70</td>\n",
       "      <td>400,291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1890135</th>\n",
       "      <td>gateway.sgs-thomson.it</td>\n",
       "      <td>1995-07-28 13:05:29</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70?344,285</td>\n",
       "      <td>302</td>\n",
       "      <td>98.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70</td>\n",
       "      <td>344,285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1890418</th>\n",
       "      <td>athena.capital.edu</td>\n",
       "      <td>1995-07-28 13:10:58</td>\n",
       "      <td>GET</td>\n",
       "      <td>/htbin/wais.pl?51-L</td>\n",
       "      <td>200</td>\n",
       "      <td>316.0</td>\n",
       "      <td>/htbin/wais.pl</td>\n",
       "      <td>51-L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1890632</th>\n",
       "      <td>129.79.25.97</td>\n",
       "      <td>1995-07-28 13:15:00</td>\n",
       "      <td>GET</td>\n",
       "      <td>/htbin/wais.pl?OARE</td>\n",
       "      <td>200</td>\n",
       "      <td>6079.0</td>\n",
       "      <td>/htbin/wais.pl</td>\n",
       "      <td>OARE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1890688</th>\n",
       "      <td>dd06-057.compuserve.com</td>\n",
       "      <td>1995-07-28 13:15:51</td>\n",
       "      <td>GET</td>\n",
       "      <td>/htbin/wais.pl?IMAX</td>\n",
       "      <td>200</td>\n",
       "      <td>6319.0</td>\n",
       "      <td>/htbin/wais.pl</td>\n",
       "      <td>IMAX</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1890752</th>\n",
       "      <td>bore.fysik.lu.se</td>\n",
       "      <td>1995-07-28 13:16:47</td>\n",
       "      <td>GET</td>\n",
       "      <td>/htbin/wais.pl?SAREX-II</td>\n",
       "      <td>200</td>\n",
       "      <td>7111.0</td>\n",
       "      <td>/htbin/wais.pl</td>\n",
       "      <td>SAREX-II</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1890765</th>\n",
       "      <td>www-d3.proxy.aol.com</td>\n",
       "      <td>1995-07-28 13:16:53</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/astrohome?272,285</td>\n",
       "      <td>302</td>\n",
       "      <td>93.0</td>\n",
       "      <td>/cgi-bin/imagemap/astrohome</td>\n",
       "      <td>272,285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1890784</th>\n",
       "      <td>www-d3.proxy.aol.com</td>\n",
       "      <td>1995-07-28 13:17:17</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/onboard?371,237</td>\n",
       "      <td>302</td>\n",
       "      <td>109.0</td>\n",
       "      <td>/cgi-bin/imagemap/onboard</td>\n",
       "      <td>371,237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1890954</th>\n",
       "      <td>whelanr.east-tenn-st.edu</td>\n",
       "      <td>1995-07-28 13:19:52</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70?184,287</td>\n",
       "      <td>302</td>\n",
       "      <td>110.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70</td>\n",
       "      <td>184,287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1891074</th>\n",
       "      <td>delarondem.bed.ns.doe.ca</td>\n",
       "      <td>1995-07-28 13:22:12</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/onboard?103,226</td>\n",
       "      <td>302</td>\n",
       "      <td>91.0</td>\n",
       "      <td>/cgi-bin/imagemap/onboard</td>\n",
       "      <td>103,226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1891180</th>\n",
       "      <td>192.112.239.11</td>\n",
       "      <td>1995-07-28 13:24:42</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70?397,276</td>\n",
       "      <td>302</td>\n",
       "      <td>68.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70</td>\n",
       "      <td>397,276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1891230</th>\n",
       "      <td>tiger2.ocs.lsu.edu</td>\n",
       "      <td>1995-07-28 13:25:43</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70?71,194</td>\n",
       "      <td>302</td>\n",
       "      <td>96.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70</td>\n",
       "      <td>71,194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1891247</th>\n",
       "      <td>eng-055.afit.af.mil</td>\n",
       "      <td>1995-07-28 13:26:08</td>\n",
       "      <td>GET</td>\n",
       "      <td>/htbin/wais.pl?winvn</td>\n",
       "      <td>200</td>\n",
       "      <td>6212.0</td>\n",
       "      <td>/htbin/wais.pl</td>\n",
       "      <td>winvn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1891325</th>\n",
       "      <td>piweba4y.prodigy.com</td>\n",
       "      <td>1995-07-28 13:27:38</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70?57,183</td>\n",
       "      <td>302</td>\n",
       "      <td>96.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70</td>\n",
       "      <td>57,183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1891360</th>\n",
       "      <td>ppp1-115.ganet.net</td>\n",
       "      <td>1995-07-28 13:28:16</td>\n",
       "      <td>GET</td>\n",
       "      <td>/htbin/wais.pl?camp</td>\n",
       "      <td>200</td>\n",
       "      <td>5660.0</td>\n",
       "      <td>/htbin/wais.pl</td>\n",
       "      <td>camp</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1891468</th>\n",
       "      <td>ntigate.nt.com</td>\n",
       "      <td>1995-07-28 13:29:37</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70?11,351</td>\n",
       "      <td>302</td>\n",
       "      <td>102.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70</td>\n",
       "      <td>11,351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1891491</th>\n",
       "      <td>ntigate.nt.com</td>\n",
       "      <td>1995-07-28 13:29:53</td>\n",
       "      <td>GET</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70?277,289</td>\n",
       "      <td>302</td>\n",
       "      <td>85.0</td>\n",
       "      <td>/cgi-bin/imagemap/countdown70</td>\n",
       "      <td>277,289</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>46292 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                              host                  ts method  \\\n",
       "47                  205.189.154.54 1995-07-01 00:01:06    GET   \n",
       "89       remote27.compusmart.ab.ca 1995-07-01 00:01:53    GET   \n",
       "137             onyx.southwind.net 1995-07-01 00:02:27    GET   \n",
       "145            gater3.sematech.org 1995-07-01 00:02:41    GET   \n",
       "161             onyx.southwind.net 1995-07-01 00:03:00    GET   \n",
       "178             lmsmith.tezcat.com 1995-07-01 00:03:13    GET   \n",
       "190           www-a1.proxy.aol.com 1995-07-01 00:03:20    GET   \n",
       "211                 205.189.154.54 1995-07-01 00:03:45    GET   \n",
       "231           www-a1.proxy.aol.com 1995-07-01 00:04:01    GET   \n",
       "270            gater3.sematech.org 1995-07-01 00:04:31    GET   \n",
       "294        pme607.onramp.awinc.com 1995-07-01 00:04:54    GET   \n",
       "302       ix-sd11-26.ix.netcom.com 1995-07-01 00:05:06    GET   \n",
       "317                  199.166.39.14 1995-07-01 00:05:21    GET   \n",
       "376            gater4.sematech.org 1995-07-01 00:06:26    GET   \n",
       "409        p06.eznets.canton.oh.us 1995-07-01 00:07:02    GET   \n",
       "446             teleman.pr.mcs.net 1995-07-01 00:07:35    GET   \n",
       "490      remote27.compusmart.ab.ca 1995-07-01 00:08:22    GET   \n",
       "504       ix-sd11-26.ix.netcom.com 1995-07-01 00:08:32    GET   \n",
       "512                ppp4.sunrem.com 1995-07-01 00:08:45    GET   \n",
       "520           www-a1.proxy.aol.com 1995-07-01 00:08:56    GET   \n",
       "537          ppp-mia-53.shadow.net 1995-07-01 00:09:18    GET   \n",
       "542                   199.120.91.6 1995-07-01 00:09:25    GET   \n",
       "558             net-1-141.eden.com 1995-07-01 00:09:47    GET   \n",
       "562        p06.eznets.canton.oh.us 1995-07-01 00:09:53    GET   \n",
       "594                ppp4.sunrem.com 1995-07-01 00:10:33    GET   \n",
       "600          ppp-mia-53.shadow.net 1995-07-01 00:10:38    GET   \n",
       "604        p06.eznets.canton.oh.us 1995-07-01 00:10:43    GET   \n",
       "642             teleman.pr.mcs.net 1995-07-01 00:11:26    GET   \n",
       "646                205.157.131.144 1995-07-01 00:11:27    GET   \n",
       "670      ix-dfw13-20.ix.netcom.com 1995-07-01 00:11:44    GET   \n",
       "...                            ...                 ...    ...   \n",
       "1889169            130.184.141.116 1995-07-28 12:48:35    GET   \n",
       "1889188            198.213.130.253 1995-07-28 12:48:48    GET   \n",
       "1889234    internet.datalytics.com 1995-07-28 12:49:37    GET   \n",
       "1889312             198.60.146.157 1995-07-28 12:51:13    GET   \n",
       "1889368             205.168.103.18 1995-07-28 12:52:30    GET   \n",
       "1889422             205.168.103.18 1995-07-28 12:53:31    GET   \n",
       "1889440             205.168.103.18 1995-07-28 12:53:47    GET   \n",
       "1889638        pcuvm2.nrl.navy.mil 1995-07-28 12:57:32    GET   \n",
       "1889668           fester.sfasu.edu 1995-07-28 12:57:57    GET   \n",
       "1889802                165.2.141.5 1995-07-28 12:59:55    GET   \n",
       "1889811                165.2.141.5 1995-07-28 13:00:18    GET   \n",
       "1889846                165.2.141.5 1995-07-28 13:01:06    GET   \n",
       "1890092               128.95.78.19 1995-07-28 13:04:51    GET   \n",
       "1890123     gateway.sgs-thomson.it 1995-07-28 13:05:18    GET   \n",
       "1890135     gateway.sgs-thomson.it 1995-07-28 13:05:29    GET   \n",
       "1890418         athena.capital.edu 1995-07-28 13:10:58    GET   \n",
       "1890632               129.79.25.97 1995-07-28 13:15:00    GET   \n",
       "1890688    dd06-057.compuserve.com 1995-07-28 13:15:51    GET   \n",
       "1890752           bore.fysik.lu.se 1995-07-28 13:16:47    GET   \n",
       "1890765       www-d3.proxy.aol.com 1995-07-28 13:16:53    GET   \n",
       "1890784       www-d3.proxy.aol.com 1995-07-28 13:17:17    GET   \n",
       "1890954   whelanr.east-tenn-st.edu 1995-07-28 13:19:52    GET   \n",
       "1891074   delarondem.bed.ns.doe.ca 1995-07-28 13:22:12    GET   \n",
       "1891180             192.112.239.11 1995-07-28 13:24:42    GET   \n",
       "1891230         tiger2.ocs.lsu.edu 1995-07-28 13:25:43    GET   \n",
       "1891247        eng-055.afit.af.mil 1995-07-28 13:26:08    GET   \n",
       "1891325       piweba4y.prodigy.com 1995-07-28 13:27:38    GET   \n",
       "1891360         ppp1-115.ganet.net 1995-07-28 13:28:16    GET   \n",
       "1891468             ntigate.nt.com 1995-07-28 13:29:37    GET   \n",
       "1891491             ntigate.nt.com 1995-07-28 13:29:53    GET   \n",
       "\n",
       "                                           uri code    size  \\\n",
       "47          /cgi-bin/imagemap/countdown?99,176  302   110.0   \n",
       "89         /cgi-bin/imagemap/countdown?102,174  302   110.0   \n",
       "137        /cgi-bin/imagemap/countdown?103,146  302    96.0   \n",
       "145         /cgi-bin/imagemap/countdown?99,173  302   110.0   \n",
       "161        /cgi-bin/imagemap/countdown?102,210  302    95.0   \n",
       "178        /cgi-bin/imagemap/countdown?103,175  302   110.0   \n",
       "190        /cgi-bin/imagemap/countdown?107,144  302    96.0   \n",
       "211        /cgi-bin/imagemap/countdown?108,176  302   110.0   \n",
       "231         /cgi-bin/imagemap/countdown?99,113  302   111.0   \n",
       "270        /cgi-bin/imagemap/countdown?370,274  302    68.0   \n",
       "294         /cgi-bin/imagemap/countdown?99,178  302   110.0   \n",
       "302        /cgi-bin/imagemap/countdown?107,144  302    96.0   \n",
       "317        /cgi-bin/imagemap/countdown?302,275  302    98.0   \n",
       "376         /cgi-bin/imagemap/countdown?88,208  302    95.0   \n",
       "409         /cgi-bin/imagemap/countdown?98,110  302   111.0   \n",
       "446        /cgi-bin/imagemap/countdown?102,172  302   110.0   \n",
       "490        /cgi-bin/imagemap/countdown?382,274  302    68.0   \n",
       "504         /cgi-bin/imagemap/countdown?94,175  302   110.0   \n",
       "512        /cgi-bin/imagemap/countdown?105,143  302    96.0   \n",
       "520         /cgi-bin/imagemap/countdown?99,213  302    95.0   \n",
       "537         /cgi-bin/imagemap/countdown?99,150  302    96.0   \n",
       "542        /cgi-bin/imagemap/countdown?373,278  302    68.0   \n",
       "558        /cgi-bin/imagemap/countdown?376,273  302    68.0   \n",
       "562         /cgi-bin/imagemap/countdown?94,145  302    96.0   \n",
       "594         /cgi-bin/imagemap/countdown?93,176  302   110.0   \n",
       "600        /cgi-bin/imagemap/countdown?103,180  302   110.0   \n",
       "604        /cgi-bin/imagemap/countdown?382,271  302    68.0   \n",
       "642        /cgi-bin/imagemap/countdown?107,147  302    96.0   \n",
       "646         /cgi-bin/imagemap/countdown?92,174  302   110.0   \n",
       "670         /cgi-bin/imagemap/countdown?95,142  302    96.0   \n",
       "...                                        ...  ...     ...   \n",
       "1889169   /cgi-bin/imagemap/countdown70?57,182  302    96.0   \n",
       "1889188    /cgi-bin/imagemap/countdown70?74,68  302    72.0   \n",
       "1889234                    /htbin/wais.pl?51-L  200   316.0   \n",
       "1889312   /cgi-bin/imagemap/countdown70?63,154  302   111.0   \n",
       "1889368  /cgi-bin/imagemap/countdown70?295,292  302    85.0   \n",
       "1889422  /cgi-bin/imagemap/countdown70?264,144  302    97.0   \n",
       "1889440           /cgi-bin/imagemap/fr?176,247  302    83.0   \n",
       "1889638                  /htbin/wais.pl?MAHRSI  200  4591.0   \n",
       "1889668   /cgi-bin/imagemap/countdown70?65,218  302   110.0   \n",
       "1889802  /cgi-bin/imagemap/countdown70?344,288  302    98.0   \n",
       "1889811    /cgi-bin/imagemap/countdown70?55,69  302    72.0   \n",
       "1889846   /cgi-bin/imagemap/countdown70?64,155  302   111.0   \n",
       "1890092  /cgi-bin/imagemap/countdown70?351,284  302    98.0   \n",
       "1890123  /cgi-bin/imagemap/countdown70?400,291  302    68.0   \n",
       "1890135  /cgi-bin/imagemap/countdown70?344,285  302    98.0   \n",
       "1890418                    /htbin/wais.pl?51-L  200   316.0   \n",
       "1890632                    /htbin/wais.pl?OARE  200  6079.0   \n",
       "1890688                    /htbin/wais.pl?IMAX  200  6319.0   \n",
       "1890752                /htbin/wais.pl?SAREX-II  200  7111.0   \n",
       "1890765    /cgi-bin/imagemap/astrohome?272,285  302    93.0   \n",
       "1890784      /cgi-bin/imagemap/onboard?371,237  302   109.0   \n",
       "1890954  /cgi-bin/imagemap/countdown70?184,287  302   110.0   \n",
       "1891074      /cgi-bin/imagemap/onboard?103,226  302    91.0   \n",
       "1891180  /cgi-bin/imagemap/countdown70?397,276  302    68.0   \n",
       "1891230   /cgi-bin/imagemap/countdown70?71,194  302    96.0   \n",
       "1891247                   /htbin/wais.pl?winvn  200  6212.0   \n",
       "1891325   /cgi-bin/imagemap/countdown70?57,183  302    96.0   \n",
       "1891360                    /htbin/wais.pl?camp  200  5660.0   \n",
       "1891468   /cgi-bin/imagemap/countdown70?11,351  302   102.0   \n",
       "1891491  /cgi-bin/imagemap/countdown70?277,289  302    85.0   \n",
       "\n",
       "                                   url    params  \n",
       "47         /cgi-bin/imagemap/countdown    99,176  \n",
       "89         /cgi-bin/imagemap/countdown   102,174  \n",
       "137        /cgi-bin/imagemap/countdown   103,146  \n",
       "145        /cgi-bin/imagemap/countdown    99,173  \n",
       "161        /cgi-bin/imagemap/countdown   102,210  \n",
       "178        /cgi-bin/imagemap/countdown   103,175  \n",
       "190        /cgi-bin/imagemap/countdown   107,144  \n",
       "211        /cgi-bin/imagemap/countdown   108,176  \n",
       "231        /cgi-bin/imagemap/countdown    99,113  \n",
       "270        /cgi-bin/imagemap/countdown   370,274  \n",
       "294        /cgi-bin/imagemap/countdown    99,178  \n",
       "302        /cgi-bin/imagemap/countdown   107,144  \n",
       "317        /cgi-bin/imagemap/countdown   302,275  \n",
       "376        /cgi-bin/imagemap/countdown    88,208  \n",
       "409        /cgi-bin/imagemap/countdown    98,110  \n",
       "446        /cgi-bin/imagemap/countdown   102,172  \n",
       "490        /cgi-bin/imagemap/countdown   382,274  \n",
       "504        /cgi-bin/imagemap/countdown    94,175  \n",
       "512        /cgi-bin/imagemap/countdown   105,143  \n",
       "520        /cgi-bin/imagemap/countdown    99,213  \n",
       "537        /cgi-bin/imagemap/countdown    99,150  \n",
       "542        /cgi-bin/imagemap/countdown   373,278  \n",
       "558        /cgi-bin/imagemap/countdown   376,273  \n",
       "562        /cgi-bin/imagemap/countdown    94,145  \n",
       "594        /cgi-bin/imagemap/countdown    93,176  \n",
       "600        /cgi-bin/imagemap/countdown   103,180  \n",
       "604        /cgi-bin/imagemap/countdown   382,271  \n",
       "642        /cgi-bin/imagemap/countdown   107,147  \n",
       "646        /cgi-bin/imagemap/countdown    92,174  \n",
       "670        /cgi-bin/imagemap/countdown    95,142  \n",
       "...                                ...       ...  \n",
       "1889169  /cgi-bin/imagemap/countdown70    57,182  \n",
       "1889188  /cgi-bin/imagemap/countdown70     74,68  \n",
       "1889234                 /htbin/wais.pl      51-L  \n",
       "1889312  /cgi-bin/imagemap/countdown70    63,154  \n",
       "1889368  /cgi-bin/imagemap/countdown70   295,292  \n",
       "1889422  /cgi-bin/imagemap/countdown70   264,144  \n",
       "1889440           /cgi-bin/imagemap/fr   176,247  \n",
       "1889638                 /htbin/wais.pl    MAHRSI  \n",
       "1889668  /cgi-bin/imagemap/countdown70    65,218  \n",
       "1889802  /cgi-bin/imagemap/countdown70   344,288  \n",
       "1889811  /cgi-bin/imagemap/countdown70     55,69  \n",
       "1889846  /cgi-bin/imagemap/countdown70    64,155  \n",
       "1890092  /cgi-bin/imagemap/countdown70   351,284  \n",
       "1890123  /cgi-bin/imagemap/countdown70   400,291  \n",
       "1890135  /cgi-bin/imagemap/countdown70   344,285  \n",
       "1890418                 /htbin/wais.pl      51-L  \n",
       "1890632                 /htbin/wais.pl      OARE  \n",
       "1890688                 /htbin/wais.pl      IMAX  \n",
       "1890752                 /htbin/wais.pl  SAREX-II  \n",
       "1890765    /cgi-bin/imagemap/astrohome   272,285  \n",
       "1890784      /cgi-bin/imagemap/onboard   371,237  \n",
       "1890954  /cgi-bin/imagemap/countdown70   184,287  \n",
       "1891074      /cgi-bin/imagemap/onboard   103,226  \n",
       "1891180  /cgi-bin/imagemap/countdown70   397,276  \n",
       "1891230  /cgi-bin/imagemap/countdown70    71,194  \n",
       "1891247                 /htbin/wais.pl     winvn  \n",
       "1891325  /cgi-bin/imagemap/countdown70    57,183  \n",
       "1891360                 /htbin/wais.pl      camp  \n",
       "1891468  /cgi-bin/imagemap/countdown70    11,351  \n",
       "1891491  /cgi-bin/imagemap/countdown70   277,289  \n",
       "\n",
       "[46292 rows x 8 columns]"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# посмотрим, какие бывают параметры в урлах\n",
    "df[~df[\"params\"].isnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<matplotlib.axes._subplots.AxesSubplot object at 0x15d783710>], dtype=object)"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x15d76e668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# построим распределение размеров ответов\n",
    "\n",
    "# создаем оси, чтобы можно было задать размер\n",
    "fig, ax = sns.plt.subplots()\n",
    "# и задаем размер\n",
    "fig.set_size_inches(16,10)\n",
    "# в параметрах указываем оси\n",
    "df[[\"size\"]].hist(bins=20, ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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oT9wCAADQnrgFAACgPXELAABAe+IWAACA9sQtAAAA7YlbAAAA2hO3AAAAtHdg2QPAZJIk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\nAKA9cQsAAEB74hYAAID2/j+RioPWud7UqAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x15f6f1438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# логарифмический масштаб по оси y\n",
    "fig, ax = sns.plt.subplots()\n",
    "fig.set_size_inches(16,10)\n",
    "df[[\"size\"]].hist(bins=20, ax=ax)\n",
    "\n",
    "# задаем логарифмический размер\n",
    "ax.set_yscale(\"log\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Минизадачка 5: Посмотреть, что за пик\n",
    "\n",
    "**Задание** Посмотреть, какие запросы относятся к пику, который мы видим на графике."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n",
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n",
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>host</th>\n",
       "      <th>ts</th>\n",
       "      <th>method</th>\n",
       "      <th>uri</th>\n",
       "      <th>code</th>\n",
       "      <th>size</th>\n",
       "      <th>url</th>\n",
       "      <th>params</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>162842</th>\n",
       "      <td>ottgate2.bnr.ca</td>\n",
       "      <td>1995-07-03 12:30:07</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207794</th>\n",
       "      <td>www-b6.proxy.aol.com</td>\n",
       "      <td>1995-07-03 22:02:47</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265061</th>\n",
       "      <td>disarray.demon.co.uk</td>\n",
       "      <td>1995-07-04 17:20:20</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301035</th>\n",
       "      <td>poppy.hensa.ac.uk</td>\n",
       "      <td>1995-07-05 07:54:02</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305026</th>\n",
       "      <td>n164576.ksc.nasa.gov</td>\n",
       "      <td>1995-07-05 08:57:07</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356013</th>\n",
       "      <td>gateway.cary.ibm.com</td>\n",
       "      <td>1995-07-05 17:21:54</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>406098</th>\n",
       "      <td>163.205.156.16</td>\n",
       "      <td>1995-07-06 10:19:00</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417781</th>\n",
       "      <td>e659229.boeing.com</td>\n",
       "      <td>1995-07-06 12:11:57</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477557</th>\n",
       "      <td>ttacs3.ttu.edu</td>\n",
       "      <td>1995-07-06 23:15:56</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>508838</th>\n",
       "      <td>spider.tbe.com</td>\n",
       "      <td>1995-07-07 10:28:56</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>200</td>\n",
       "      <td>3155499.0</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>513402</th>\n",
       "      <td>15.254.200.50</td>\n",
       "      <td>1995-07-07 11:16:52</td>\n",
       "      <td>GET</td>\n",
       "      <td>/shuttle/countdown/video/livevideo.jpeg</td>\n",
       "      <td>200</td>\n",
       "      <td>2572288.0</td>\n",
       "      <td>/shuttle/countdown/video/livevideo.jpeg</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>514706</th>\n",
       "      <td>jcdbs.itsi.disa.mil</td>\n",
       "      <td>1995-07-07 11:29:24</td>\n",
       "      <td>GET</td>\n",
       "      <td>/shuttle/countdown/video/livevideo.jpeg</td>\n",
       "      <td>200</td>\n",
       "      <td>2048000.0</td>\n",
       "      <td>/shuttle/countdown/video/livevideo.jpeg</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>531316</th>\n",
       "      <td>derec</td>\n",
       "      <td>1995-07-07 14:03:32</td>\n",
       "      <td>GET</td>\n",
       "      <td>/shuttle/countdown/video/livevideo.jpeg</td>\n",
       "      <td>200</td>\n",
       "      <td>6823936.0</td>\n",
       "      <td>/shuttle/countdown/video/livevideo.jpeg</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603425</th>\n",
       "      <td>www-b6.proxy.aol.com</td>\n",
       "      <td>1995-07-08 22:24:24</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603788</th>\n",
       "      <td>www-b6.proxy.aol.com</td>\n",
       "      <td>1995-07-08 22:33:46</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>615109</th>\n",
       "      <td>netspace.net.au</td>\n",
       "      <td>1995-07-09 09:18:44</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Mar/Mar95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2889868.0</td>\n",
       "      <td>/statistics/1995/Mar/Mar95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>615164</th>\n",
       "      <td>netspace.net.au</td>\n",
       "      <td>1995-07-09 09:22:14</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>200</td>\n",
       "      <td>3155499.0</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>773778</th>\n",
       "      <td>grumpy.ksc.nasa.gov</td>\n",
       "      <td>1995-07-11 17:28:21</td>\n",
       "      <td>GET</td>\n",
       "      <td>/mdss/ped/acs/SDP.ps</td>\n",
       "      <td>200</td>\n",
       "      <td>2854989.0</td>\n",
       "      <td>/mdss/ped/acs/SDP.ps</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>773872</th>\n",
       "      <td>grumpy.ksc.nasa.gov</td>\n",
       "      <td>1995-07-11 17:29:34</td>\n",
       "      <td>GET</td>\n",
       "      <td>/mdss/ped/acs/SDP.ps</td>\n",
       "      <td>200</td>\n",
       "      <td>2854989.0</td>\n",
       "      <td>/mdss/ped/acs/SDP.ps</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>981718</th>\n",
       "      <td>acf4.nyu.edu</td>\n",
       "      <td>1995-07-13 14:38:43</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>200</td>\n",
       "      <td>3155499.0</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1044273</th>\n",
       "      <td>163.206.89.4</td>\n",
       "      <td>1995-07-14 09:11:29</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>200</td>\n",
       "      <td>3155499.0</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1233598</th>\n",
       "      <td>jcj8363.dukepower.com</td>\n",
       "      <td>1995-07-17 13:31:01</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>200</td>\n",
       "      <td>3155499.0</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1305650</th>\n",
       "      <td>titan02f</td>\n",
       "      <td>1995-07-18 14:04:54</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jul/Jul95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2661134.0</td>\n",
       "      <td>/statistics/1995/Jul/Jul95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1305663</th>\n",
       "      <td>titan02f</td>\n",
       "      <td>1995-07-18 14:05:07</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1559028</th>\n",
       "      <td>wuzza.harvard.edu</td>\n",
       "      <td>1995-07-22 13:08:18</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>200</td>\n",
       "      <td>3155499.0</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1617790</th>\n",
       "      <td>chi017.wwa.com</td>\n",
       "      <td>1995-07-24 00:19:37</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2785280.0</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1731514</th>\n",
       "      <td>198.122.135.40</td>\n",
       "      <td>1995-07-25 17:58:56</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>200</td>\n",
       "      <td>3155499.0</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1877083</th>\n",
       "      <td>128.206.221.93</td>\n",
       "      <td>1995-07-28 09:13:09</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2957312.0</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          host                  ts method  \\\n",
       "162842         ottgate2.bnr.ca 1995-07-03 12:30:07    GET   \n",
       "207794    www-b6.proxy.aol.com 1995-07-03 22:02:47    GET   \n",
       "265061    disarray.demon.co.uk 1995-07-04 17:20:20    GET   \n",
       "301035       poppy.hensa.ac.uk 1995-07-05 07:54:02    GET   \n",
       "305026    n164576.ksc.nasa.gov 1995-07-05 08:57:07    GET   \n",
       "356013    gateway.cary.ibm.com 1995-07-05 17:21:54    GET   \n",
       "406098          163.205.156.16 1995-07-06 10:19:00    GET   \n",
       "417781      e659229.boeing.com 1995-07-06 12:11:57    GET   \n",
       "477557          ttacs3.ttu.edu 1995-07-06 23:15:56    GET   \n",
       "508838          spider.tbe.com 1995-07-07 10:28:56    GET   \n",
       "513402           15.254.200.50 1995-07-07 11:16:52    GET   \n",
       "514706     jcdbs.itsi.disa.mil 1995-07-07 11:29:24    GET   \n",
       "531316                   derec 1995-07-07 14:03:32    GET   \n",
       "603425    www-b6.proxy.aol.com 1995-07-08 22:24:24    GET   \n",
       "603788    www-b6.proxy.aol.com 1995-07-08 22:33:46    GET   \n",
       "615109         netspace.net.au 1995-07-09 09:18:44    GET   \n",
       "615164         netspace.net.au 1995-07-09 09:22:14    GET   \n",
       "773778     grumpy.ksc.nasa.gov 1995-07-11 17:28:21    GET   \n",
       "773872     grumpy.ksc.nasa.gov 1995-07-11 17:29:34    GET   \n",
       "981718            acf4.nyu.edu 1995-07-13 14:38:43    GET   \n",
       "1044273           163.206.89.4 1995-07-14 09:11:29    GET   \n",
       "1233598  jcj8363.dukepower.com 1995-07-17 13:31:01    GET   \n",
       "1305650               titan02f 1995-07-18 14:04:54    GET   \n",
       "1305663               titan02f 1995-07-18 14:05:07    GET   \n",
       "1559028      wuzza.harvard.edu 1995-07-22 13:08:18    GET   \n",
       "1617790         chi017.wwa.com 1995-07-24 00:19:37    GET   \n",
       "1731514         198.122.135.40 1995-07-25 17:58:56    GET   \n",
       "1877083         128.206.221.93 1995-07-28 09:13:09    GET   \n",
       "\n",
       "                                                     uri code       size  \\\n",
       "162842   /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "207794   /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "265061   /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "301035   /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "305026   /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "356013   /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "406098   /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "417781   /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "477557   /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "508838             /statistics/1995/bkup/Mar95_full.html  200  3155499.0   \n",
       "513402           /shuttle/countdown/video/livevideo.jpeg  200  2572288.0   \n",
       "514706           /shuttle/countdown/video/livevideo.jpeg  200  2048000.0   \n",
       "531316           /shuttle/countdown/video/livevideo.jpeg  200  6823936.0   \n",
       "603425   /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "603788   /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "615109   /statistics/1995/Mar/Mar95_reverse_domains.html  200  2889868.0   \n",
       "615164             /statistics/1995/bkup/Mar95_full.html  200  3155499.0   \n",
       "773778                              /mdss/ped/acs/SDP.ps  200  2854989.0   \n",
       "773872                              /mdss/ped/acs/SDP.ps  200  2854989.0   \n",
       "981718             /statistics/1995/bkup/Mar95_full.html  200  3155499.0   \n",
       "1044273            /statistics/1995/bkup/Mar95_full.html  200  3155499.0   \n",
       "1233598            /statistics/1995/bkup/Mar95_full.html  200  3155499.0   \n",
       "1305650  /statistics/1995/Jul/Jul95_reverse_domains.html  200  2661134.0   \n",
       "1305663  /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "1559028            /statistics/1995/bkup/Mar95_full.html  200  3155499.0   \n",
       "1617790            /statistics/1995/bkup/Mar95_full.html  200  2785280.0   \n",
       "1731514            /statistics/1995/bkup/Mar95_full.html  200  3155499.0   \n",
       "1877083            /statistics/1995/bkup/Mar95_full.html  200  2957312.0   \n",
       "\n",
       "                                                     url params  \n",
       "162842   /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "207794   /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "265061   /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "301035   /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "305026   /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "356013   /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "406098   /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "417781   /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "477557   /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "508838             /statistics/1995/bkup/Mar95_full.html   None  \n",
       "513402           /shuttle/countdown/video/livevideo.jpeg   None  \n",
       "514706           /shuttle/countdown/video/livevideo.jpeg   None  \n",
       "531316           /shuttle/countdown/video/livevideo.jpeg   None  \n",
       "603425   /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "603788   /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "615109   /statistics/1995/Mar/Mar95_reverse_domains.html   None  \n",
       "615164             /statistics/1995/bkup/Mar95_full.html   None  \n",
       "773778                              /mdss/ped/acs/SDP.ps   None  \n",
       "773872                              /mdss/ped/acs/SDP.ps   None  \n",
       "981718             /statistics/1995/bkup/Mar95_full.html   None  \n",
       "1044273            /statistics/1995/bkup/Mar95_full.html   None  \n",
       "1233598            /statistics/1995/bkup/Mar95_full.html   None  \n",
       "1305650  /statistics/1995/Jul/Jul95_reverse_domains.html   None  \n",
       "1305663  /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "1559028            /statistics/1995/bkup/Mar95_full.html   None  \n",
       "1617790            /statistics/1995/bkup/Mar95_full.html   None  \n",
       "1731514            /statistics/1995/bkup/Mar95_full.html   None  \n",
       "1877083            /statistics/1995/bkup/Mar95_full.html   None  "
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#butorov\n",
    "df[df['size'] > 2000000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>host</th>\n",
       "      <th>ts</th>\n",
       "      <th>method</th>\n",
       "      <th>uri</th>\n",
       "      <th>code</th>\n",
       "      <th>size</th>\n",
       "      <th>url</th>\n",
       "      <th>params</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>162842</th>\n",
       "      <td>ottgate2.bnr.ca</td>\n",
       "      <td>1995-07-03 12:30:07</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207794</th>\n",
       "      <td>www-b6.proxy.aol.com</td>\n",
       "      <td>1995-07-03 22:02:47</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265061</th>\n",
       "      <td>disarray.demon.co.uk</td>\n",
       "      <td>1995-07-04 17:20:20</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301035</th>\n",
       "      <td>poppy.hensa.ac.uk</td>\n",
       "      <td>1995-07-05 07:54:02</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305026</th>\n",
       "      <td>n164576.ksc.nasa.gov</td>\n",
       "      <td>1995-07-05 08:57:07</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356013</th>\n",
       "      <td>gateway.cary.ibm.com</td>\n",
       "      <td>1995-07-05 17:21:54</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>406098</th>\n",
       "      <td>163.205.156.16</td>\n",
       "      <td>1995-07-06 10:19:00</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417781</th>\n",
       "      <td>e659229.boeing.com</td>\n",
       "      <td>1995-07-06 12:11:57</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477557</th>\n",
       "      <td>ttacs3.ttu.edu</td>\n",
       "      <td>1995-07-06 23:15:56</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>508838</th>\n",
       "      <td>spider.tbe.com</td>\n",
       "      <td>1995-07-07 10:28:56</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>200</td>\n",
       "      <td>3155499.0</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>513402</th>\n",
       "      <td>15.254.200.50</td>\n",
       "      <td>1995-07-07 11:16:52</td>\n",
       "      <td>GET</td>\n",
       "      <td>/shuttle/countdown/video/livevideo.jpeg</td>\n",
       "      <td>200</td>\n",
       "      <td>2572288.0</td>\n",
       "      <td>/shuttle/countdown/video/livevideo.jpeg</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>531316</th>\n",
       "      <td>derec</td>\n",
       "      <td>1995-07-07 14:03:32</td>\n",
       "      <td>GET</td>\n",
       "      <td>/shuttle/countdown/video/livevideo.jpeg</td>\n",
       "      <td>200</td>\n",
       "      <td>6823936.0</td>\n",
       "      <td>/shuttle/countdown/video/livevideo.jpeg</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603425</th>\n",
       "      <td>www-b6.proxy.aol.com</td>\n",
       "      <td>1995-07-08 22:24:24</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603788</th>\n",
       "      <td>www-b6.proxy.aol.com</td>\n",
       "      <td>1995-07-08 22:33:46</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>615109</th>\n",
       "      <td>netspace.net.au</td>\n",
       "      <td>1995-07-09 09:18:44</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Mar/Mar95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2889868.0</td>\n",
       "      <td>/statistics/1995/Mar/Mar95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>615164</th>\n",
       "      <td>netspace.net.au</td>\n",
       "      <td>1995-07-09 09:22:14</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>200</td>\n",
       "      <td>3155499.0</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>773778</th>\n",
       "      <td>grumpy.ksc.nasa.gov</td>\n",
       "      <td>1995-07-11 17:28:21</td>\n",
       "      <td>GET</td>\n",
       "      <td>/mdss/ped/acs/SDP.ps</td>\n",
       "      <td>200</td>\n",
       "      <td>2854989.0</td>\n",
       "      <td>/mdss/ped/acs/SDP.ps</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>773872</th>\n",
       "      <td>grumpy.ksc.nasa.gov</td>\n",
       "      <td>1995-07-11 17:29:34</td>\n",
       "      <td>GET</td>\n",
       "      <td>/mdss/ped/acs/SDP.ps</td>\n",
       "      <td>200</td>\n",
       "      <td>2854989.0</td>\n",
       "      <td>/mdss/ped/acs/SDP.ps</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>981718</th>\n",
       "      <td>acf4.nyu.edu</td>\n",
       "      <td>1995-07-13 14:38:43</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>200</td>\n",
       "      <td>3155499.0</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1044273</th>\n",
       "      <td>163.206.89.4</td>\n",
       "      <td>1995-07-14 09:11:29</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>200</td>\n",
       "      <td>3155499.0</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1233598</th>\n",
       "      <td>jcj8363.dukepower.com</td>\n",
       "      <td>1995-07-17 13:31:01</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>200</td>\n",
       "      <td>3155499.0</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1305650</th>\n",
       "      <td>titan02f</td>\n",
       "      <td>1995-07-18 14:04:54</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jul/Jul95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2661134.0</td>\n",
       "      <td>/statistics/1995/Jul/Jul95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1305663</th>\n",
       "      <td>titan02f</td>\n",
       "      <td>1995-07-18 14:05:07</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2973350.0</td>\n",
       "      <td>/statistics/1995/Jun/Jun95_reverse_domains.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1559028</th>\n",
       "      <td>wuzza.harvard.edu</td>\n",
       "      <td>1995-07-22 13:08:18</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>200</td>\n",
       "      <td>3155499.0</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1617790</th>\n",
       "      <td>chi017.wwa.com</td>\n",
       "      <td>1995-07-24 00:19:37</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2785280.0</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1731514</th>\n",
       "      <td>198.122.135.40</td>\n",
       "      <td>1995-07-25 17:58:56</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>200</td>\n",
       "      <td>3155499.0</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1877083</th>\n",
       "      <td>128.206.221.93</td>\n",
       "      <td>1995-07-28 09:13:09</td>\n",
       "      <td>GET</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>200</td>\n",
       "      <td>2957312.0</td>\n",
       "      <td>/statistics/1995/bkup/Mar95_full.html</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          host                  ts method  \\\n",
       "162842         ottgate2.bnr.ca 1995-07-03 12:30:07    GET   \n",
       "207794    www-b6.proxy.aol.com 1995-07-03 22:02:47    GET   \n",
       "265061    disarray.demon.co.uk 1995-07-04 17:20:20    GET   \n",
       "301035       poppy.hensa.ac.uk 1995-07-05 07:54:02    GET   \n",
       "305026    n164576.ksc.nasa.gov 1995-07-05 08:57:07    GET   \n",
       "356013    gateway.cary.ibm.com 1995-07-05 17:21:54    GET   \n",
       "406098          163.205.156.16 1995-07-06 10:19:00    GET   \n",
       "417781      e659229.boeing.com 1995-07-06 12:11:57    GET   \n",
       "477557          ttacs3.ttu.edu 1995-07-06 23:15:56    GET   \n",
       "508838          spider.tbe.com 1995-07-07 10:28:56    GET   \n",
       "513402           15.254.200.50 1995-07-07 11:16:52    GET   \n",
       "531316                   derec 1995-07-07 14:03:32    GET   \n",
       "603425    www-b6.proxy.aol.com 1995-07-08 22:24:24    GET   \n",
       "603788    www-b6.proxy.aol.com 1995-07-08 22:33:46    GET   \n",
       "615109         netspace.net.au 1995-07-09 09:18:44    GET   \n",
       "615164         netspace.net.au 1995-07-09 09:22:14    GET   \n",
       "773778     grumpy.ksc.nasa.gov 1995-07-11 17:28:21    GET   \n",
       "773872     grumpy.ksc.nasa.gov 1995-07-11 17:29:34    GET   \n",
       "981718            acf4.nyu.edu 1995-07-13 14:38:43    GET   \n",
       "1044273           163.206.89.4 1995-07-14 09:11:29    GET   \n",
       "1233598  jcj8363.dukepower.com 1995-07-17 13:31:01    GET   \n",
       "1305650               titan02f 1995-07-18 14:04:54    GET   \n",
       "1305663               titan02f 1995-07-18 14:05:07    GET   \n",
       "1559028      wuzza.harvard.edu 1995-07-22 13:08:18    GET   \n",
       "1617790         chi017.wwa.com 1995-07-24 00:19:37    GET   \n",
       "1731514         198.122.135.40 1995-07-25 17:58:56    GET   \n",
       "1877083         128.206.221.93 1995-07-28 09:13:09    GET   \n",
       "\n",
       "                                                     uri code       size  \\\n",
       "162842   /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "207794   /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "265061   /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "301035   /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "305026   /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "356013   /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "406098   /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "417781   /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "477557   /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "508838             /statistics/1995/bkup/Mar95_full.html  200  3155499.0   \n",
       "513402           /shuttle/countdown/video/livevideo.jpeg  200  2572288.0   \n",
       "531316           /shuttle/countdown/video/livevideo.jpeg  200  6823936.0   \n",
       "603425   /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "603788   /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "615109   /statistics/1995/Mar/Mar95_reverse_domains.html  200  2889868.0   \n",
       "615164             /statistics/1995/bkup/Mar95_full.html  200  3155499.0   \n",
       "773778                              /mdss/ped/acs/SDP.ps  200  2854989.0   \n",
       "773872                              /mdss/ped/acs/SDP.ps  200  2854989.0   \n",
       "981718             /statistics/1995/bkup/Mar95_full.html  200  3155499.0   \n",
       "1044273            /statistics/1995/bkup/Mar95_full.html  200  3155499.0   \n",
       "1233598            /statistics/1995/bkup/Mar95_full.html  200  3155499.0   \n",
       "1305650  /statistics/1995/Jul/Jul95_reverse_domains.html  200  2661134.0   \n",
       "1305663  /statistics/1995/Jun/Jun95_reverse_domains.html  200  2973350.0   \n",
       "1559028            /statistics/1995/bkup/Mar95_full.html  200  3155499.0   \n",
       "1617790            /statistics/1995/bkup/Mar95_full.html  200  2785280.0   \n",
       "1731514            /statistics/1995/bkup/Mar95_full.html  200  3155499.0   \n",
       "1877083            /statistics/1995/bkup/Mar95_full.html  200  2957312.0   \n",
       "\n",
       "                                                     url params  \n",
       "162842   /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "207794   /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "265061   /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "301035   /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "305026   /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "356013   /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "406098   /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "417781   /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "477557   /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "508838             /statistics/1995/bkup/Mar95_full.html   None  \n",
       "513402           /shuttle/countdown/video/livevideo.jpeg   None  \n",
       "531316           /shuttle/countdown/video/livevideo.jpeg   None  \n",
       "603425   /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "603788   /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "615109   /statistics/1995/Mar/Mar95_reverse_domains.html   None  \n",
       "615164             /statistics/1995/bkup/Mar95_full.html   None  \n",
       "773778                              /mdss/ped/acs/SDP.ps   None  \n",
       "773872                              /mdss/ped/acs/SDP.ps   None  \n",
       "981718             /statistics/1995/bkup/Mar95_full.html   None  \n",
       "1044273            /statistics/1995/bkup/Mar95_full.html   None  \n",
       "1233598            /statistics/1995/bkup/Mar95_full.html   None  \n",
       "1305650  /statistics/1995/Jul/Jul95_reverse_domains.html   None  \n",
       "1305663  /statistics/1995/Jun/Jun95_reverse_domains.html   None  \n",
       "1559028            /statistics/1995/bkup/Mar95_full.html   None  \n",
       "1617790            /statistics/1995/bkup/Mar95_full.html   None  \n",
       "1731514            /statistics/1995/bkup/Mar95_full.html   None  \n",
       "1877083            /statistics/1995/bkup/Mar95_full.html   None  "
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df[\"size\"] > 2500000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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AoQlfAAAAhiZ8AQAAGJrwBQAAYGjCFwAAgKEJXwAAAIYmfAEAABia8AUAAGBowhcAAICh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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1600ecf60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# чтобы сделать логарифмический масштаб по оси x, нам нужны логарифмические бины\n",
    "# сгенерим их с помощью numpy.logspace\n",
    "fig, ax = sns.plt.subplots()\n",
    "fig.set_size_inches(16,10)\n",
    "\n",
    "# обратите внимание на параметр bins\n",
    "df[[\"size\"]].hist(bins=np.logspace(0.1, 10.0, 20), ax=ax)\n",
    "#df[[\"size\"]].hist(bins=20, ax=ax)\n",
    "\n",
    "\n",
    "# логарифмический масштаб оси по x\n",
    "ax.set_xscale(\"log\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Задачка 6: считаем RPS на сервере\n",
    "\n",
    "**Задание**: найти число запросов в секунду для каждой секунды, когда они были"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ts\n",
       "1995-07-01 00:00:01    1\n",
       "1995-07-01 00:00:06    1\n",
       "1995-07-01 00:00:09    1\n",
       "1995-07-01 00:00:11    2\n",
       "1995-07-01 00:00:12    3\n",
       "1995-07-01 00:00:13    2\n",
       "1995-07-01 00:00:14    3\n",
       "1995-07-01 00:00:15    3\n",
       "1995-07-01 00:00:17    2\n",
       "1995-07-01 00:00:18    1\n",
       "1995-07-01 00:00:19    2\n",
       "1995-07-01 00:00:24    1\n",
       "1995-07-01 00:00:25    1\n",
       "1995-07-01 00:00:27    1\n",
       "1995-07-01 00:00:29    1\n",
       "1995-07-01 00:00:33    1\n",
       "1995-07-01 00:00:35    1\n",
       "1995-07-01 00:00:37    1\n",
       "1995-07-01 00:00:38    1\n",
       "1995-07-01 00:00:40    1\n",
       "1995-07-01 00:00:41    5\n",
       "1995-07-01 00:00:43    1\n",
       "1995-07-01 00:00:44    1\n",
       "1995-07-01 00:00:50    1\n",
       "1995-07-01 00:00:54    1\n",
       "1995-07-01 00:00:58    1\n",
       "1995-07-01 00:00:59    2\n",
       "1995-07-01 00:01:02    1\n",
       "1995-07-01 00:01:04    3\n",
       "1995-07-01 00:01:05    1\n",
       "                      ..\n",
       "1995-07-28 13:31:46    4\n",
       "1995-07-28 13:31:47    3\n",
       "1995-07-28 13:31:49    6\n",
       "1995-07-28 13:31:50    5\n",
       "1995-07-28 13:31:51    3\n",
       "1995-07-28 13:31:52    2\n",
       "1995-07-28 13:31:53    2\n",
       "1995-07-28 13:31:54    1\n",
       "1995-07-28 13:31:55    2\n",
       "1995-07-28 13:31:57    2\n",
       "1995-07-28 13:31:58    1\n",
       "1995-07-28 13:31:59    2\n",
       "1995-07-28 13:32:00    3\n",
       "1995-07-28 13:32:01    1\n",
       "1995-07-28 13:32:03    1\n",
       "1995-07-28 13:32:04    3\n",
       "1995-07-28 13:32:06    2\n",
       "1995-07-28 13:32:11    4\n",
       "1995-07-28 13:32:12    2\n",
       "1995-07-28 13:32:13    1\n",
       "1995-07-28 13:32:14    1\n",
       "1995-07-28 13:32:16    3\n",
       "1995-07-28 13:32:17    1\n",
       "1995-07-28 13:32:18    2\n",
       "1995-07-28 13:32:19    2\n",
       "1995-07-28 13:32:20    4\n",
       "1995-07-28 13:32:21    3\n",
       "1995-07-28 13:32:22    5\n",
       "1995-07-28 13:32:23    3\n",
       "1995-07-28 13:32:25    1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# khudyakovavi\n",
    "df.groupby('ts').size()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n",
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n",
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>method</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ts</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1995-07-01 00:00:01</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995-07-01 00:00:06</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995-07-01 00:00:09</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995-07-01 00:00:11</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995-07-01 00:00:12</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     method\n",
       "ts                         \n",
       "1995-07-01 00:00:01       1\n",
       "1995-07-01 00:00:06       1\n",
       "1995-07-01 00:00:09       1\n",
       "1995-07-01 00:00:11       2\n",
       "1995-07-01 00:00:12       3"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rps = df.groupby(\"ts\")[[\"method\"]].count()\n",
    "rps.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "method    20\n",
       "dtype: int64"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rps.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x16011c128>"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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Kg4ZtI5vlD+9We++oFsybpcsuPNP07cG5fnDXdknSHd/5sObMnmlxaQDr3Ptirb76P9+p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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x16011aac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# построим график RPS\n",
    "fig, ax = sns.plt.subplots()\n",
    "fig.set_size_inches(16,10)\n",
    "rps.plot(ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1600f0518>"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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gwHAAhevBAPWn9Y+/lyRZfX2GIwEAAFNVqQV0b0nzHMfZ17btLkmPS7ouZ/+m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Ol7IB/OmugpJf8LaF30HWL7HVi4QfGdq/q1MtJ98+0QBQGRU/6Dlj+DCP6dbdgQgiNGggeuVeqC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\nkwmHzdLYt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      "text/plain": [
       "<matplotlib.figure.Figure at 0x16011ca20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# добавим скользящее среднее, чтобы сгладить пики\n",
    "fig, ax = sns.plt.subplots()\n",
    "fig.set_size_inches(16,10)\n",
    "#rps.plot(ax=ax)\n",
    "\n",
    "# rolling сделает нам группы, используя скользящее окно, по которым можно считать разное\n",
    "roll = rps.rolling(window=600)\n",
    "roll.mean().plot(ax=ax, c=\"red\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Творческая задачка 7: исследовать пик\n",
    "\n",
    "**Задание**: узнать, с чем связан пик на графике"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.5/site-packages/ipykernel/__main__.py:3: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  app.launch_new_instance()\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>host</th>\n",
       "      <th>ts</th>\n",
       "      <th>method</th>\n",
       "      <th>code</th>\n",
       "      <th>size</th>\n",
       "      <th>url</th>\n",
       "      <th>params</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uri</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>/</th>\n",
       "      <td>3162</td>\n",
       "      <td>3162</td>\n",
       "      <td>3162</td>\n",
       "      <td>3162</td>\n",
       "      <td>3162</td>\n",
       "      <td>3162</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>/%3A//spacelink.msfc.nasa.gov</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
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       "      <td>0</td>\n",
       "      <td>5</td>\n",
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       "    <tr>\n",
       "      <th>/%3A/spacelink.msfc.nasa.gov</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
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       "    <tr>\n",
       "      <th>/%7Emol</th>\n",
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       "    <tr>\n",
       "      <th>/.ksc.html</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>//facilities/spaceport.html</th>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>//history/history/history.html</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>//ksc.html</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>//shuttle/missions/missions.html</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>/://spacelink.msfc.nasa.gov</th>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
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       "    <tr>\n",
       "      <th>/:/spacelink.msfc.nasa.gov</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <th>/BROWSER</th>\n",
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       "      <td>1</td>\n",
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       "      <th>/GIF/thin-blue-marble-line.gif</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>/General/Internet/WWW/Grobe.html</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <th>/HISTORY/APOLLO/</th>\n",
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       "    <tr>\n",
       "      <th>/HISTORY/APOllo/apollo-13/apollo-13.html</th>\n",
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       "      <th>/HTBIN/CDT_CLOCK.PL</th>\n",
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       "      <th>/Images/blueball.gif</th>\n",
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       "      <th>/KSC.html</th>\n",
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       "      <th>/sts-70/shutref/sts-subs.html</th>\n",
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       "      <th>/welcome.html</th>\n",
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       "      <td>18</td>\n",
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       "      <td>210</td>\n",
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       "      <td>210</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>/~pccomp/graphics/spatrol.gif</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>/~pccomp/graphics/swww.gif</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>www.ksc.nasa.gov</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6192 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    host    ts  method  code  \\\n",
       "uri                                                                            \n",
       "/                                                   3162  3162    3162  3162   \n",
       "/%3A//spacelink.msfc.nasa.gov                          5     5       5     5   \n",
       "/%3A/spacelink.msfc.nasa.gov                          16    16      16    16   \n",
       "/%7Emol                                                1     1       1     1   \n",
       "/.ksc.html                                             2     2       2     2   \n",
       "//facilities/spaceport.html                            1     1       1     1   \n",
       "//history/history/history.html                         1     1       1     1   \n",
       "//ksc.html                                             1     1       1     1   \n",
       "//shuttle/missions/missions.html                       1     1       1     1   \n",
       "/://spacelink.msfc.nasa.gov                           24    24      24    24   \n",
       "/:/spacelink.msfc.nasa.gov                             1     1       1     1   \n",
       "/BROWSER                                               1     1       1     1   \n",
       "/GIF/ksc-logo-small.gif                                1     1       1     1   \n",
       "/GIF/nasaball.gif                                      1     1       1     1   \n",
       "/GIF/thin-blue-marble-line.gif                         1     1       1     1   \n",
       "/General/Internet/WWW/Grobe.html                       1     1       1     1   \n",
       "/HISTORY/APOLLO/                                       1     1       1     1   \n",
       "/HISTORY/APOllo/apollo-13/apollo-13.html               1     1       1     1   \n",
       "/HISTORY/APPOLLO/APPOLLO-13                            1     1       1     1   \n",
       "/HTBIN/CDT_CLOCK.PL                                    1     1       1     1   \n",
       "/Images/blueball.gif                                   1     1       1     1   \n",
       "/KSC.html                                              1     1       1     1   \n",
       "/LDAR/LDARhp.html                                      2     2       2     2   \n",
       "/MISC                                                  1     1       1     1   \n",
       "/NASA_home.html                                        1     1       1     1   \n",
       "/NIS                                                   1     1       1     1   \n",
       "/Organizations/Grumman/Products/Space_Technolog...     1     1       1     1   \n",
       "/Organizations/Grumman/Products/Space_Technolog...     1     1       1     1   \n",
       "/Pictures/MoonFlag.gif                                 1     1       1     1   \n",
       "/SDG/Experimental/demoweb/return.gif                   1     1       1     1   \n",
       "...                                                  ...   ...     ...   ...   \n",
       "/sts-70/icons/b-ascent.gif                             1     1       1     1   \n",
       "/sts-70/images/                                        1     1       1     1   \n",
       "/sts-70/landing/orbiter/                               1     1       1     1   \n",
       "/sts-70/landing/orbiter/*.html                         1     1       1     1   \n",
       "/sts-70/ntv                                            1     1       1     1   \n",
       "/sts-70/orbit/                                         1     1       1     1   \n",
       "/sts-70/orbiter/                                       1     1       1     1   \n",
       "/sts-70/shutref/sts-subs.html                          1     1       1     1   \n",
       "/sts-70/video                                          1     1       1     1   \n",
       "/sts-70/video/                                         1     1       1     1   \n",
       "/sts-70/video/daily                                    1     1       1     1   \n",
       "/suttle/countdown/                                     1     1       1     1   \n",
       "/welcome.html                                         18    18      18    18   \n",
       "/whats-new.html                                      210   210     210   210   \n",
       "/winvn                                                 2     2       2     2   \n",
       "/www/                                                  1     1       1     1   \n",
       "/~adverts/apple/inet/banner.gif                        1     1       1     1   \n",
       "/~adverts/graphics/adbanner.gif                        1     1       1     1   \n",
       "/~adverts/graphics/indxlogo.gif                        1     1       1     1   \n",
       "/~downs/home.html                                      5     5       5     5   \n",
       "/~downs/launchup.gif                                   5     5       5     5   \n",
       "/~pccomp/graphics/sabout.gif                           1     1       1     1   \n",
       "/~pccomp/graphics/sfeat.gif                            1     1       1     1   \n",
       "/~pccomp/graphics/sfree.gif                            1     1       1     1   \n",
       "/~pccomp/graphics/sinsght.gif                          1     1       1     1   \n",
       "/~pccomp/graphics/smail.gif                            1     1       1     1   \n",
       "/~pccomp/graphics/sone.gif                             1     1       1     1   \n",
       "/~pccomp/graphics/spatrol.gif                          1     1       1     1   \n",
       "/~pccomp/graphics/swww.gif                             1     1       1     1   \n",
       "www.ksc.nasa.gov                                       1     1       1     1   \n",
       "\n",
       "                                                    size   url  params  \n",
       "uri                                                                     \n",
       "/                                                   3162  3162       0  \n",
       "/%3A//spacelink.msfc.nasa.gov                          0     5       0  \n",
       "/%3A/spacelink.msfc.nasa.gov                           0    16       0  \n",
       "/%7Emol                                                0     1       0  \n",
       "/.ksc.html                                             2     2       0  \n",
       "//facilities/spaceport.html                            1     1       0  \n",
       "//history/history/history.html                         0     1       0  \n",
       "//ksc.html                                             1     1       0  \n",
       "//shuttle/missions/missions.html                       1     1       0  \n",
       "/://spacelink.msfc.nasa.gov                            0    24       0  \n",
       "/:/spacelink.msfc.nasa.gov                             0     1       0  \n",
       "/BROWSER                                               0     1       0  \n",
       "/GIF/ksc-logo-small.gif                                0     1       0  \n",
       "/GIF/nasaball.gif                                      0     1       0  \n",
       "/GIF/thin-blue-marble-line.gif                         0     1       0  \n",
       "/General/Internet/WWW/Grobe.html                       0     1       0  \n",
       "/HISTORY/APOLLO/                                       0     1       0  \n",
       "/HISTORY/APOllo/apollo-13/apollo-13.html               0     1       0  \n",
       "/HISTORY/APPOLLO/APPOLLO-13                            0     1       0  \n",
       "/HTBIN/CDT_CLOCK.PL                                    0     1       0  \n",
       "/Images/blueball.gif                                   0     1       0  \n",
       "/KSC.html                                              0     1       0  \n",
       "/LDAR/LDARhp.html                                      0     2       0  \n",
       "/MISC                                                  0     1       0  \n",
       "/NASA_home.html                                        0     1       0  \n",
       "/NIS                                                   0     1       0  \n",
       "/Organizations/Grumman/Products/Space_Technolog...     0     1       0  \n",
       "/Organizations/Grumman/Products/Space_Technolog...     0     1       0  \n",
       "/Pictures/MoonFlag.gif                                 0     1       0  \n",
       "/SDG/Experimental/demoweb/return.gif                   0     1       0  \n",
       "...                                                  ...   ...     ...  \n",
       "/sts-70/icons/b-ascent.gif                             0     1       0  \n",
       "/sts-70/images/                                        0     1       0  \n",
       "/sts-70/landing/orbiter/                               0     1       0  \n",
       "/sts-70/landing/orbiter/*.html                         0     1       0  \n",
       "/sts-70/ntv                                            0     1       0  \n",
       "/sts-70/orbit/                                         0     1       0  \n",
       "/sts-70/orbiter/                                       0     1       0  \n",
       "/sts-70/shutref/sts-subs.html                          0     1       0  \n",
       "/sts-70/video                                          0     1       0  \n",
       "/sts-70/video/                                         0     1       0  \n",
       "/sts-70/video/daily                                    0     1       0  \n",
       "/suttle/countdown/                                     0     1       0  \n",
       "/welcome.html                                         18    18       0  \n",
       "/whats-new.html                                      210   210       0  \n",
       "/winvn                                                 0     2       0  \n",
       "/www/                                                  0     1       0  \n",
       "/~adverts/apple/inet/banner.gif                        0     1       0  \n",
       "/~adverts/graphics/adbanner.gif                        0     1       0  \n",
       "/~adverts/graphics/indxlogo.gif                        0     1       0  \n",
       "/~downs/home.html                                      5     5       0  \n",
       "/~downs/launchup.gif                                   5     5       0  \n",
       "/~pccomp/graphics/sabout.gif                           0     1       0  \n",
       "/~pccomp/graphics/sfeat.gif                            0     1       0  \n",
       "/~pccomp/graphics/sfree.gif                            0     1       0  \n",
       "/~pccomp/graphics/sinsght.gif                          0     1       0  \n",
       "/~pccomp/graphics/smail.gif                            0     1       0  \n",
       "/~pccomp/graphics/sone.gif                             0     1       0  \n",
       "/~pccomp/graphics/spatrol.gif                          0     1       0  \n",
       "/~pccomp/graphics/swww.gif                             0     1       0  \n",
       "www.ksc.nasa.gov                                       0     1       0  \n",
       "\n",
       "[6192 rows x 7 columns]"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#vanadium23\n",
    "from datetime import datetime\n",
    "df[df['ts'] > datetime(1995, 7, 13)][df['ts'] < datetime(1995, 7, 15)].groupby('uri').count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n",
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>\n",
    "<br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x15ffe52b0>"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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LAgoAALwjAQWADlStAuomhpNSlIBGH/q//HHvad/OH48ed4LznkSXJCm8/PnJvw8AAMw4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QAAAg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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1600c3fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# для начала сравним на одном графике обычный и необычный дни\n",
    "\n",
    "# возьмем время без даты\n",
    "df['time'] = df[\"ts\"].dt.time\n",
    "\n",
    "# и отсеим нужные нам данные\n",
    "event = df[\n",
    "    (df['ts'] > pd.Timestamp(\"1995-07-13 00:00:00\")) &\n",
    "    (df['ts'] < pd.Timestamp(\"1995-07-14 00:00:00\"))\n",
    "]\n",
    "no_event = df[\n",
    "    (df['ts'] > pd.Timestamp(\"1995-07-14 00:00:00\")) &\n",
    "    (df['ts'] < pd.Timestamp(\"1995-07-15 00:00:00\"))\n",
    "]\n",
    "\n",
    "# оси\n",
    "fig, ax = sns.plt.subplots()\n",
    "fig.set_size_inches(16,10)\n",
    "\n",
    "# скользящее среднее для дня с событием\n",
    "event_rps = event.groupby(\"time\")[[\"method\"]].count()\n",
    "event_roll = event_rps.rolling(window=600)\n",
    "event_roll.mean().plot(ax=ax, c=\"red\")\n",
    "\n",
    "# скользящее среднее для дня без события\n",
    "no_event_rps = no_event.groupby(\"time\")[[\"method\"]].count()\n",
    "no_event_roll = no_event_rps.rolling(window=600)\n",
    "no_event_roll.mean().plot(ax=ax, c=\"green\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'/BROWSER',\n",
       " '/General/Internet/WWW/Grobe.html',\n",
       " '/HISTORY/APOLLO/',\n",
       " '/HTBIN/CDT_CLOCK.PL',\n",
       " '/Images/blueball.gif',\n",
       " '/MISC',\n",
       " '/NASA_home.html',\n",
       " '/NIS',\n",
       " '/Organizations/Grumman/Products/Space_Technologies/LEM.html',\n",
       " '/Organizations/Grumman/Products/Space_Technologies/SpaceStation.html',\n",
       " '/Pictures/MoonFlag.gif',\n",
       " '/SHUTTLE/COUNTDOWN/',\n",
       " '/Shuttle',\n",
       " '/Shuttle/Countdown',\n",
       " '/astro-2.msfc.nasa.gov',\n",
       " '/base-ops/procurement/kscbus.htm',\n",
       " '/biomed/gif/aerpcfinmed.gif',\n",
       " '/biomed/intro.html',\n",
       " '/biomed/text/launch.doc',\n",
       " '/cgi-bin/imagemap/KSC-95EC-0823.jpg',\n",
       " '/cgi-bin/imagemap/count70.gif',\n",
       " '/cgi-bin/imagemap/lo-org',\n",
       " '/cgi-bin/imagemap/thunder.atms.purdue.edu',\n",
       " '/cgi-bin/imagemap/weatstat/weatinfo.htm',\n",
       " '/cgi-bin/imagemap/~tfish/oregon.map',\n",
       " '/countdown',\n",
       " '/countdown/',\n",
       " '/cwis/organizations/kucia/uroulette/jayhawk.gif',\n",
       " '/cwis/organizations/kucia/uroulette/press',\n",
       " '/cwis/organizations/kucia/uroulette/sig.gif',\n",
       " '/elv',\n",
       " '/elv/',\n",
       " '/elv/ATLAS_CENTAUR/goes_lau.gif',\n",
       " '/elv/SCOUT/elvhead2.gif',\n",
       " '/elv/SCOUT/sampex.jpg',\n",
       " '/elv/uplink.htm>This',\n",
       " '/facilities/cdsc.html',\n",
       " '/facilities/cif.html',\n",
       " '/facilities/phsf.html',\n",
       " '/facts/faq08.txt',\n",
       " '/facts/internet/DoesNotExist.gif',\n",
       " '/facts/internet/filename.GIF',\n",
       " '/facts/internet/html-primer.html',\n",
       " '/facts/internet/url-primer.html',\n",
       " '/facts/wais-readme.html',\n",
       " '/finance',\n",
       " '/finance/',\n",
       " '/finance/gvtlinks.htm',\n",
       " '/gov/shuttle/countdown',\n",
       " '/history.apollo/apollo-13-info.html.',\n",
       " '/history.html',\n",
       " '/history/.history.html',\n",
       " '/history/apollo-11/apollo-11.html',\n",
       " '/history/apollo-13/apollo-13.html',\n",
       " '/history/apollo/-apollo-13/apollo-13.html',\n",
       " '/history/apollo/a-001/images/',\n",
       " '/history/apollo/a-002/',\n",
       " '/history/apollo/a-002/a-002-info.html',\n",
       " '/history/apollo/a-002/a-002-patch-small.gif',\n",
       " '/history/apollo/a-002/a-002.html',\n",
       " '/history/apollo/a-002/docs/',\n",
       " '/history/apollo/a-002/images/',\n",
       " '/history/apollo/a-002/movies/',\n",
       " '/history/apollo/a-002/news/',\n",
       " '/history/apollo/a-003/a-003-info.html',\n",
       " '/history/apollo/a-003/a-003-patch-small.gif',\n",
       " '/history/apollo/a-003/a-003.html',\n",
       " '/history/apollo/a-004/docs/',\n",
       " '/history/apollo/a-004/images/',\n",
       " '/history/apollo/apollo-1',\n",
       " '/history/apollo/apollo-1.html',\n",
       " '/history/apollo/apollo-10/apollo-10-patch.jpg',\n",
       " '/history/apollo/apollo-11/apollo-10.html',\n",
       " '/history/apollo/apollo-12/apollo-12-patch.jpg',\n",
       " '/history/apollo/apollo-12/docs/',\n",
       " '/history/apollo/apollo-12/images/69HC1007.GIF',\n",
       " '/history/apollo/apollo-12/images/69HC1324.GIF',\n",
       " '/history/apollo/apollo-12/images/69HC1326.GIF',\n",
       " '/history/apollo/apollo-12/images/69HC1344.GIF',\n",
       " '/history/apollo/apollo-12/images/77HC85.GIF',\n",
       " '/history/apollo/apollo-12/news/',\n",
       " '/history/apollo/apollo-13',\n",
       " '/history/apollo/apollo-13-patch-small.gif',\n",
       " '/history/apollo/apollo-13/apoll',\n",
       " '/history/apollo/apollo-13/apollo-13-1nfo.html.',\n",
       " '/history/apollo/apollo-13/apollo-13-info.html.',\n",
       " '/history/apollo/apollo-13/apollo-13.htmp',\n",
       " '/history/apollo/apollo-13/apollo-13/html',\n",
       " '/history/apollo/apollo-13/apollo-13html',\n",
       " '/history/apollo/apollo-13/apollo-13info.htm',\n",
       " '/history/apollo/apollo-13/apollo-13info.html',\n",
       " '/history/apollo/apollo-13/apollo13-info.html',\n",
       " '/history/apollo/apollo-13/apollo13.html',\n",
       " '/history/apollo/apollo-14',\n",
       " '/history/apollo/apollo-14-patch-small.gif',\n",
       " '/history/apollo/apollo-15/',\n",
       " '/history/apollo/apollo-15/apollo-15-patch.jpg',\n",
       " '/history/apollo/apollo-15/videos/',\n",
       " '/history/apollo/apollo-16/',\n",
       " '/history/apollo/apollo-16/apollo-16-patch.jpg',\n",
       " '/history/apollo/apollo-16/docs/',\n",
       " '/history/apollo/apollo-16/news/',\n",
       " '/history/apollo/apollo-18/apollo-18.html',\n",
       " '/history/apollo/apollo-2/apollo-2.html',\n",
       " '/history/apollo/apollo-3/apollo-3.html',\n",
       " '/history/apollo/apollo-4/',\n",
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       " '/shuttle/missions/sts-71/images/KSC-95EC-0443.txt',\n",
       " '/shuttle/missions/sts-71/images/KSC-95EC-0544.txt',\n",
       " '/shuttle/missions/sts-71/images/KSC-95EC-0869.gif',\n",
       " '/shuttle/missions/sts-71/images/KSC-95EC-0870.jpg',\n",
       " '/shuttle/missions/sts-71/images/KSC-95EC-0871.txt',\n",
       " '/shuttle/missions/sts-71/images/KSC-95EC-0873.gif',\n",
       " '/shuttle/missions/sts-71/images/KSC-95EC-0874.gif',\n",
       " '/shuttle/missions/sts-71/images/KSC-95EC-0874.jpg',\n",
       " '/shuttle/missions/sts-71/images/KSC-95EC-0875.gif',\n",
       " '/shuttle/missions/sts-71/images/KSC-95EC-0891.gif',\n",
       " '/shuttle/missions/sts-71/images/KSC-95EC-0902.txt',\n",
       " '/shuttle/missions/sts-71/images/KSC-95EC-0907.txt',\n",
       " '/shuttle/missions/sts-71/images/KSC-95EC-0913.txt',\n",
       " '/shuttle/missions/sts-71/images/KSC-95EC-0946.txt',\n",
       " '/shuttle/missions/sts-71/images/KSC-95EC-0951.txt',\n",
       " '/shuttle/missions/sts-71/images/captions.txt',\n",
       " '/shuttle/missions/sts-71/images/captions1.txt',\n",
       " '/shuttle/missions/sts-71/images/captions2.txt',\n",
       " '/shuttle/missions/sts-71/images/images.html/',\n",
       " '/shuttle/missions/sts-71/movies/crew-arrival.mpg',\n",
       " '/shuttle/missions/sts-71/news/ksc-status-06-07-95.txt',\n",
       " '/shuttle/missions/sts-71/news/ksc-status-06-26-95.txt',\n",
       " '/shuttle/missions/sts-71/news/ksc-status-06-27-95.txt',\n",
       " '/shuttle/missions/sts-71/news/mcc21.txt',\n",
       " '/shuttle/missions/sts-71/news/sts-71-mcc-08.txt',\n",
       " '/shuttle/missions/sts-71/news/sts-71-mcc-09.txt',\n",
       " '/shuttle/missions/sts-71/news/sts-71-mcc-10.txt',\n",
       " '/shuttle/missions/sts-71/news/sts-71-mcc-11.txt',\n",
       " '/shuttle/missions/sts-71/news/sts-71-mcc-13.txt',\n",
       " '/shuttle/missions/sts-71/news/sts-71-mcc-14.txt',\n",
       " '/shuttle/missions/sts-71/news/sts-71-mcc-15.txt',\n",
       " '/shuttle/missions/sts-71/news/sts-71-mcc-16.txt',\n",
       " '/shuttle/missions/sts-71/news/sts-71-mcc-17.txt',\n",
       " '/shuttle/missions/sts-71/news/sts-71-mcc-18.txt',\n",
       " '/shuttle/missions/sts-71/news/sts-71-mcc-19.txt',\n",
       " '/shuttle/missions/sts-71/news/sts-71-mcc-20.txt',\n",
       " '/shuttle/missions/sts-71/shuttle.txt',\n",
       " '/shuttle/missions/sts-71/sts-71-crew.JPG',\n",
       " '/shuttle/missions/sts-71/sts-71-patch-logo.gif',\n",
       " '/shuttle/missions/sts-71/sts-71-patch.html',\n",
       " '/shuttle/missions/sts-75/movies/',\n",
       " '/shuttle/missions/sts-76/',\n",
       " '/shuttle/missions/sts-76/images/',\n",
       " '/shuttle/missions/sts-76/news',\n",
       " '/shuttle/missions/sts-76/news/',\n",
       " '/shuttle/missions/sts-76/sts-76-patch.jpg',\n",
       " '/shuttle/missions/sts-8/',\n",
       " '/shuttle/missions/sts-8/images/',\n",
       " '/shuttle/missions/sts-8/images/83HC600.GIF',\n",
       " '/shuttle/missions/sts-89/mission-sts-89.html',\n",
       " '/shuttle/missions/sts-9/',\n",
       " '/shuttle/missions/sts-9/images/',\n",
       " '/shuttle/missions/sts-9/images/83HC742.GIF',\n",
       " '/shuttle/missions/sts-9/images/83HC751.GIF',\n",
       " '/shuttle/missions/sts-XX/sts-XX-info.html',\n",
       " '/shuttle/missions/sts-XX/sts-XX-press-kit.txt',\n",
       " '/shuttle/missions/sts-ksc-landings.txt',\n",
       " '/shuttle/missions/sts-missions.txt',\n",
       " '/shuttle/missions/sts-test.txt',\n",
       " '/shuttle/missions/sts70/',\n",
       " '/shuttle/missoins/missions.html',\n",
       " '/shuttle/missons',\n",
       " '/shuttle/missons/sts-71',\n",
       " '/shuttle/missons/sts-71/images',\n",
       " '/shuttle/missons/sts-71/images/images.html',\n",
       " '/shuttle/movies/sts-70-tdrs-processing.mpg',\n",
       " '/shuttle/news',\n",
       " '/shuttle/news/',\n",
       " '/shuttle/news/nasa.nasamail.p/35',\n",
       " '/shuttle/news/sci.space.news/164',\n",
       " '/shuttle/resources',\n",
       " '/shuttle/resources/orbiters',\n",
       " '/shuttle/resources/orbiters/endeavor.html',\n",
       " '/shuttle/shuttle/sts-71',\n",
       " '/shuttle/sightings/',\n",
       " '/shuttle/technology/images/sts-comm-small.gif',\n",
       " '/shuttle/technology/images/sts_events-small.gif',\n",
       " '/shuttle/technology/sts-newsref/09_ov_ma.txt',\n",
       " '/shuttle/technology/sts-newsref/23_ov_gn.txt',\n",
       " '/shuttle/technology/sts-newsref/sts-comm.html',\n",
       " '/shuttle/technology/sts-newsref/sts-wcl.html',\n",
       " '/shuttle/technology/sts-newsref/sts_events.html',\n",
       " '/shuttle/technology/sts-newsref/tps_mods.html',\n",
       " '/shuttle/video/lifevideo.jpge',\n",
       " '/shuttlecountdown',\n",
       " '/sightings/',\n",
       " '/software/webadmin/payload.perl',\n",
       " '/software/webadmin/sts-tech.bad',\n",
       " '/software/webadmin/sts-tech.good',\n",
       " '/software/winvn/brydon.gif',\n",
       " '/software/winvn/faq/WINVNFAQ-I-1.html',\n",
       " '/software/winvn/faq/WINVNFAQ-I-10.html',\n",
       " '/software/winvn/faq/WINVNFAQ-I.html',\n",
       " '/software/winvn/faq/WINVNFAQ-II-1.html',\n",
       " '/software/winvn/faq/WINVNFAQ-II-4.html',\n",
       " '/software/winvn/faq/WINVNFAQ-III-2.html',\n",
       " '/software/winvn/faq/WINVNFAQ-III-4.html',\n",
       " '/software/winvn/faq/WINVNFAQ-V-1.html',\n",
       " '/software/winvn/faq/WINVNFAQ-V-3.html',\n",
       " '/software/winvn/faq/WINVNFAQ-V-5.html',\n",
       " '/software/winvn/faq/WINVNFAQ-V-6.html',\n",
       " '/software/winvn/faq/WINVNFAQ-V-7.html',\n",
       " '/software/winvn/faq/WINVNFAQ-V.html',\n",
       " '/software/winvn/userguide/2_2_2.htm',\n",
       " '/software/winvn/userguide/2_2_4.htm',\n",
       " '/software/winvn/userguide/2_3_4.htm',\n",
       " '/software/winvn/userguide/winvn16.gif',\n",
       " '/software/winvn/winvn/html',\n",
       " '/statistics/1993/Dec/Dec93.html',\n",
       " '/statistics/1993/Dec/Dec93_byte.gif',\n",
       " '/statistics/1993/Dec/Dec93_request.gif',\n",
       " '/statistics/1995/Jun/Jun95_country_byte.gif',\n",
       " '/statistics/1995/Jun/Jun95_daily_byte.gif',\n",
       " '/statistics/1995/bkup/Apr95_full.html',\n",
       " '/sts-70/',\n",
       " '/sts-70/ccc/realtime.html',\n",
       " '/sts-70/demos',\n",
       " '/sts-70/demos/',\n",
       " '/sts-70/ntv',\n",
       " '/sts-70/orbiter/',\n",
       " '/suttle/countdown/',\n",
       " 'www.ksc.nasa.gov'}"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# урлы, на которые ходили в четверг, но не ходили в пятницу\n",
    "set(event['url']) - set(no_event['url'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'/facilities/lcc.html',\n",
       " '/history/apollo/apollo-13/images/',\n",
       " '/icons/movie.xbm',\n",
       " '/images/launch-small.gif',\n",
       " '/shuttle/countdown/count.html',\n",
       " '/shuttle/countdown/images/cdtclock.gif',\n",
       " '/shuttle/countdown/video/livevideo.gif',\n",
       " '/shuttle/missions/',\n",
       " '/shuttle/missions/sts-70/images/KSC-95EC-0667.jpg',\n",
       " '/shuttle/missions/sts-70/images/KSC-95EC-0852.jpg',\n",
       " '/shuttle/missions/sts-70/images/index70.gif',\n",
       " '/shuttle/missions/sts-70/sts-70-info.html',\n",
       " '/shuttle/missions/sts-70/sts-70-patch.jpg',\n",
       " '/shuttle/missions/sts-70/sts-70-press-kit.txt',\n",
       " '/shuttle/technology/images/tal_abort_2-small.gif',\n",
       " '/shuttle/technology/sts-newsref/sts-lcc.html'}"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# посмотрим на разницу в топ100\n",
    "visits_event = event.groupby('url')[['method']].count().sort_values(by='method', ascending=False)\n",
    "visits_no_event = no_event.groupby('url')[['method']].count().sort_values(by='method', ascending=False)\n",
    "set(visits_event[:100].index) - set(visits_no_event[:100].index)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "https://en.wikipedia.org/wiki/STS-70"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Анализируем результаты стрельб Танком"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# функция для импорта сырого отчета phantom\n",
    "\n",
    "phout_columns = [\n",
    "    'time', 'tag', 'interval_real',\n",
    "    'connect_time', 'send_time',\n",
    "    'latency', 'receive_time',\n",
    "    'interval_event', 'size_out',\n",
    "    'size_in', 'net_code', 'proto_code']\n",
    "\n",
    "def read_phout(filename):\n",
    "    data = pd.read_csv(\n",
    "        filename, sep='\\t', names=phout_columns)\n",
    "    \n",
    "    # хитрые манипуляции с колонками\n",
    "    \n",
    "    # в логе есть время отправки и время выполнения запроса. Суммируем их и получается\n",
    "    # время получения ответа - будем группировать по нему (заводим новую колонку)\n",
    "    data['ts'] = data.time + data.interval_real / 1000000\n",
    "    # округляем до секунды\n",
    "    data['receive_sec'] = data.ts.astype(int)\n",
    "    # и индексируем по этой секунде\n",
    "    data.set_index(['receive_sec'], inplace=True)\n",
    "    # для удобства посчитаем время ответа в миллисекундах\n",
    "    data['rt_ms'] = data.interval_real / 1000\n",
    "    \n",
    "    return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "phout1 = read_phout(\"phout_1.log\")\n",
    "phout2 = read_phout(\"phout_2.log\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x16402ad68>"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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0318+JgTmPXwi7/xVhQCAE02mUY+jAKc6R65d9TPITXQmsr2yE3f/az8qjf1CEis/U4u0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SnwSZohUmuAU5JcWlV7AkuAzYC7gGOSrKqqq4GTgfcCFyf5SvteNwLzaW4Czga2Ah4C3pvkllHa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\nSZKkTvs/SOebh482z40AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x164031ba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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HJ2JFDbiZLx6Ph9WLw+zY31/2sU5ErBntt36fl4Dfy2SONa7jJQbXbK24bhXW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\n4CpJkiRJqmsGV0mSJElSXfv/rLUjcawOax0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x164031b70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# графики RPS\n",
    "fig, ax = sns.plt.subplots()\n",
    "fig.set_size_inches(16,10)\n",
    "phout1.groupby(level=0).count().time.rolling(window=10).mean().plot(title=\"RPS 1\", ax=ax)\n",
    "\n",
    "fig, ax = sns.plt.subplots()\n",
    "fig.set_size_inches(16,10)\n",
    "phout2.groupby(level=0).count().time.rolling(window=10).mean().plot(title=\"RPS 2\", ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1767f0a90>"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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XGsTueHSnMMyv3AbkOBDKWhhm/6pRw/Swx5U9XMh+JWaMpwrrn8Nhfy9YwpYNcwhVtfB0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\n9+h7lXf7zi1R9re31/6j1ujZsyf08fF9+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pxvf00+h9Oj6zEnQZ2Vww5dHmFX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CFiqGIAsU9BhYw+1+gJvm2rTBq+cZbwG7DS3DLxaKPlqWX5OUTAGMdSIvYOFb8CaAAhL3w9yO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\nspf9pGa0+tIo9+tiB+G5VLhz5KdcFi/OdR2O1hnz3eP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XUmEz32VlZ3gR8ttVLWKriaok\nQvg95M+sTm2UibQw3IeHOMLXP7r6U8kdV097rbVh8hLMmHpbD6tddOjugdqIjCPGmbMNjw3AHWh4\nhZJU3x0PVP6fcv0GO+9dgxJWFIF0NlKfksIMtGGe9jpm0LSV1RPRQbjap9oB2eFmEJcK63F6t4/V\nic0XjHOQwPYU7M9XwtXcVdpIR7k1dIJ9XaUpXv16HCw7VpBxcdBw7RrOw5mkfZuDB5nvOhxphM5w\n4zW8BKWo1PC5LKspp/7V8BfoBFmDolEjUaYnO24zCXEdMIcytWQJhOtz3wRnnZdkUHbmVtx4GkND\n8dZr2BzlxlUujL8pnazKUktXWzFCy9VW/EPJqkJFyOLrhEQUJHfnBkLm5F9nu3uPq88gV7qbwPt1\nLofW90KVIWZVnevRsc466dMV/l5x9a/XEJbiy/9KW1IkfeALy/esTn1KLU5WxysmfCOfzO0tLp0U\nlEVwL3UIJVm80YTLrlOeIm79b/mzng9+PV5vVYrHbfJ7DjzomSd5a5+d5VLZ78xh3Fe9V9s+Wd5A\nQlMHe6z+UlUmp/5WhofKw0Cb1JS6xo6rDYzpK/n0vELlcCY47nGV8rd9HGmR4na1byFl58wG6Qfl\n+F1+d62MY5j9zOj0DZj1/kpOPXX2uBZutoTRf9nigDz6Yii02h2TJiU5FI7ZmQo3Ls446qTBaOhl\nfzFKpU5j75oFic1fRyNhNnB5mOXJilJUQjlyd8rj379kvztc5v878jo5Isc7GymexrTyIaFMF9/M\nRtd0Hejc2PVM+6U4KbftgRYjsJQ7eq0yqAR3etJcryLqOpz8d22psDMvojscvrQIfmINVRf5QTbZ\nlnYugh52MD2O503qUWoYscuTpffacr0XwxNeW7W8C/JJYSTJGvm+Ku+8hXccVWZrYvZJLMPM1W/Q\n/5qPi9k1t195P3kbOjCx7sJMqymLLLfc1hl+Y3ROCnX7CEF3vt89bZhScC8VFvIlShYfnvLvyHPv\nuy3dCOHrvqR2wZE865mh/0391PiQNSHSKB0owBnXzuEwXA3lXfm5PGgDsAu8HobxXSrF1qiT7EYM\nJnQ2kzKWYlgNkhCny435wHQTUrxmoxWlwANuJSFLJ9q7M2QO19l6Sr/egSsxjZz5UwMF5novrnfu\nUvr1IrXjcRkWo8CVX0aaYmY2/PsBQ42657teHUw5zati2rRcQ41qbU+SrqgkTg7RNFz150Z4mfY/\n4DhQKmRgiu/RlRZBLqv4Ouq+4aG8OqQ4Vdgll+Xf4aaMt8F1OGIkEa59erfy1Nd+WIHKn8PSuNuB\nisEjhe+Jp4mxJ/11tfk1gqzvJiKd/lDjIpX6R47+QtlXksq1y6/eN/IONoTkjXMmh+spPz65XY9C\neiNJ0Irnmq79baVXFKkK6j8WhzMpVdmTX4nTq48boswPZt4L5bccjDC+B/WY44ukuyU9ZQcifG+A\nWY/M5jCQQBquXaO0W+NLZqZ3QrwVW4kF12kMeqOPa+BDRpQSK5jHjVjZjHgs49slixSJx40VoPE0\nqjMqhePP7/oNXEQ8hZJyvh9JNl/HLEG4KOVqeo+MyxWGSxeP1HCV43Yqaa8onoY9oqi5OgAKnoN5\nrD2uPvnqEbx7WvIj1VtxcGAob/AAoF78Pa7VGVezsTeFNf8a+koqp8Y7EtNrlYOQDjHcCSt73DNQ\nRvhSXelVn9Wa0YzplHr8BculpGciDPRaAzSS09ii7S0+go6uI4/TuNHzIZR/cWVM9pPmvRqWGZ7c\nZkXtH9afq+rv1jJgKd+jEhNKaEq7CVvHi+/SE25Mn60MouX20BucfriQK/6IPDP7t4b34joc50F8\nVv/YJ3MAsd8UaOfFds38HveO3Xv1hXrk0lMu/dpG2QjUz1AUNFw7RgZhCReK9sUojMX3THjmqiyS\n4RCl0GJbYcujFoTUubHlsTtqQtwBEcJr9c2OerXC+O7Wsn5zKVnYaZa9hRITl9/u++ekcAaNoDNo\nX9loYsAoxxcrC808bhCRaMzEdEDaIqZODb/7909BduNrtPW4XA2f3iky66l1qnCLeZaiVoT4o4w8\nuPNWzczIdTXiHlcpSLMTHHOegDVrKiRKGe/IUiHBFn/we+a6M1rynmXOcNspE4lhBNs62M+D+eTR\nSdHyFF/1dAlpjNFBKkGQTPBjprtO2x/7uxZw7UOovNEqv5ziPa6y0+oPShYpaPTaP0XFGfl7wLfj\nczjCarwuHSOkvYHA9U/td+kZ/++DX3xxqOEe1xlzh6Scp62uLAK092D2baQ8Sun/KOF9OoIV5HL6\ns3THKNp/M53+OGi4do2yQyS8GkthF362LKfO0UJJeVWcOJR5aLTIhelOMJ6s38zKI1ZCd+fOSqdL\nd4qVNEJRWFFXH4hXIniNCk9cdXDILing4UCIq3GOaZkTFJlTSVY/m6OBzRoRIR6rzWi5kapE7yyA\n+c+esuwKK6aOen8T6rNUfoFTeo9run9PuY2IQ83IS13FGVftHlfnjFiMPonQx/ZzR30NlR3z3W4J\n97gqx7JnM1hBv0VvT/CGXfP9521kUGXphn8ojuTyKL5gfziiQWGHES+Grz3z1JNQ/tfS756fktWG\n32O5/F16d9ZAkfFF9OOJtqER7pMt7K2qL6xBLFe40vt1vXOpeDRpG2slNdelrr6rIZcYl7OuoVwq\nLOp6Kfy2mjlX0+vTmZabGn0EKU7pBzF+KQNaKPOWGGa6jDgD6aPh2jUcA+FyhyV/Vhk9dyktz29W\nIfF0xMrPWmfAW8h8LZkRjq/xH0ZWeSy3IwHlV7ivfHXkgdiRcVRkUbn6lLDxm+vd1204HArRHgUX\n8snKV7eiC+6rq4FylgOzMxEXlzk+Yn+sJrT10VVRpogOhfDVEZoZeLhRL9yJcZiNlsYIlwqn9RQE\n3eMawCr+hGTvzYg/xh3OVEdveXSts7PiC6dmp6JMw5YtjzSQJcgp10+zK1GjkCSWK8tg8XVarbhk\nt8mqTPnq9zBg735oR7gpQjlPfDfKmPvEY128QP6KEVQCqOFfDlKewXV8rzzzuDXLu6WPPfXa+85C\n6WyQH0LDZs9qOnSM6LcabvuraurqpyYOPPpLKSCwVHjw0VPOGmKdpOttk11uAvkp/u5KU6DcWGVC\nCiMVR3oiw6bh2jnykXDzxEQT7f1m+n4lT+FSRicrdJBH5bO3sSg+S5fae8K24rKfmcuEhm2Lu9JF\np9PXaYxpmOp0RqOsitTfDbliByjEYKtpkpYyNjFgnB0Qszg587huXshx2st14oJNwVkEnA1CjbKn\nxRIzgCTde1yG5ygnw4a+5juIwdG+RvvxOdPzM5C3aqZnyJJ/0a/D0dRcBkHnViM3PAnxG7rNWW9F\ngd3Byu4LefJ2pc5SYd2/6aZ43qshuzPSmuXKLKcRRvdQvcW4rSGP6FbTNb4yElPf62LmjaHPK1Uj\nNq4YUST9VFd3143Y12a7mmYlnarv0sean4juQZDkbDBvhZDrnC22J19S29dYameYqRNrhKPgFF9B\nDQ9nklYQieE3yAspHKvf5Mn7oIHqilaqf36xKmJI3owPbQzy283i4MPBIycG9kygvNBw7Rq+WTej\n1JnLvgb1r9owWYrOO+IydFYLbwerGr/3ECWn5pXCM5VBzXBNN06jL6AoJbdiuB552ugweN3L6bf2\nDkFv5IS0WBGktOJDt87LvrV3M3SijO91ELSxQ3GOBGcjVE1k3Gi3/F7MwZqgCDHvtfhWzrgWYbWZ\nV1p5iLdI7c/ezqur5dboRZwqXMqXlRfZu2ZqLS9S1rp0kK8zGdJ/rvQZv2ct3+PaZKlw8niIlfZA\n+DGRJHZcxSXj2rsS71X36lhNhui8NA65ETvPxnctfGf2LSwAAHrzC2ERIlRXbcy0WG2W5x5Xp84F\nesvLmFladvoRDcBWBhtS2k0I+sKIL1YHVD6biRTctkFscFa5LZ5H1BWhP1ONP8uXCgszrmLfLUbg\nBBxpkbvmKX0EM1xHooS2xLc3vdWxjVLnVMP+u3/5Nv70774STB/vce0ceeNjjmCj2rGrjOJWrjbw\nlS4lVg5/P7lawEQPngBCndHg0gyrMxXZ2EvGiqsRk8I1FYXwmzMDvR0GwV1IIcQqKeldOcPN88iX\nJa7wLXlraDJnGl0P5PcSjkd6/0K4I2udpChd76VOI+TwYw3WODy6Gj690TLDGeE9rt4lgFEBGH4r\nVS8+bNcKF9WzlwpnWYbNQ4cBADOrK8iO3St4dJQzSw6ffrGdBNMR+j3vtGUnT0q/yu8288Sb0JFq\nKwzbYJH9e69gixArzrHgQXl+038PDnyk5K1LFkkP+PN/24NvwOzaNixddHFErEJY+vtJquNVf1YZ\n9/WVPIMJp7/oJcCW73yQ0HtJ+tHdTkch9C2s7440ewZNwsuNE6lp7dTqL4q/ujsYWZYBW5voLSxY\nvvRv8ueaVIq/mf/Vv+J1OEbc3jM/zNUzlo5z9YWMsF1uYwdGUjB0YKaAD378Ftw/4I2Ga9fIKpun\nqliPhMLtKmylc7HkhiISdGRkBffqGSXIZ4Tt6AzIJxRrbgT5ql78cfs6gOHDdEINl/m1ibL2yGVE\naOeRIEyMoWilP0o8d3jSc6eybymeUSpjO1LHUyH/Qh1rb577G3Uxbj1Yxzsf7eFM9YN1NrTmdy09\nwZHqXk/UO3baB2wePgS1sIjeaPI+DQAAIABJREFU3LwYpvfANt2NqZM8YYi/FXVblNJ231tcRG9x\nEVvHjllhK0tvOkSTjAifPo6kdkfeWp7s8l8j3OSBFMmt1AYLnwNtTVY3K4v36DIeHWK68mlmeRlr\n110fGbedJu/1MjFBxhqCYnvu8qIwv2+f9UwLTlAtyp+PZtyh32u/V8c79Q10Sb9XZDCEMfOgIbVn\nCJUx66c9H/z1+fX8rtRgAE6ccZUHbVu/EqgMWJNJfxDqC1fcSuEq6aOzjRH3rnrao3bbfVf/a/B3\nc8t52A8ALhXuHEO71VN5i8/590xbKuwl1sASK6ynY+KN19e5kOVxjjZV/LsKPnJFJMRpda7CcUvy\nyd8cPzgVkC6XJ8qY30PuHXkECI2Et4PjUqKJHTxXWYgxlmsR08kYUSMFhDsY3nJpBZa7Ed5bTNF1\nljl3q29fh+OTry4+fRDhx+i0ikZtoGgBRRqFRt1xONPm4UOYXVsLym2rK1OH2J0N2yiNKL/BejEs\ng7O792hxGnrT3fNzfHbFH19IksuV1flxuTP8+PLK23ELyOKrxz79FarvqR1oX13Q5RlJvbajTg5f\nQWi79K9CBIU+cPU/xC6OGY5QpvV8SzxMMd2Qr+r4YdMV9/68A35W0tstDNGhufRzRJ5Z1yta4WbI\nNjfsPa6uOt8oC4RwzDLpK26SUan/9bYJvnyQyoD+V6hnLlma4EhHUaWOndj0eqfh2jmEawoGD9zf\npaXCLmUW25iahBpX509mRYjphBn+JcUSrEQBBaSqPzhPTosworydUXfktjKOPVHa6UxWBnJfSVl6\nSvTk6TAkKXZX22m8Y3vGyiGDMx7H+zfDhbKcjwpXnVbWs4g64utUeT06Gj6tnrmvw0ntcEWIJYgU\n5cf7zEirJ29VryfXE8c9rpuHDqG3uhoft5TvlrFjyit5kctvMPM0Z3O7d4fd+YIS6pP3RN1wiCme\nhoMVQf+6ngfi6klNcYz2pBKAa1DJZVwZQSQtKXW+j2rZqnT2W+yQigfiJVsCZr2V9ajTa8VpRFkL\nDTSGvMfWxZoos4w5B4sc+eOrtzH5kkKdPuZgT4Ls1tnuiY7k37IM2daWsC1EOeRsNy+culvMG0db\nECOas10x/ElNk5T1wQGdBpRBVsM8dlJYwq9Bw7VrSIdmxKI3kIJ/a0TK2c7rDb0jnIqbwV/xUntP\nhTM7EdKyErfM7sbLuQTPZ/w7w5Wdx8riN3wj/As/u3EoOSn9rg5cSLZKqEInJVZG47Myy1MNOXyy\nDQOsxjOaI95dwjgrmv271eg4whLKor8DrPQ//ndvhmMcztRuw5XQURD1k7sTELWPdmbGfg+AeDjT\n1vF7kW1sDGdcpX1yZnxS1pp6ylkmBT3lC9cjh4LCrG64WmmWAwrmoXkdTp36lFoHyz2uRjiWu/gy\n5l+G7vUptA+6YJKudOnraripdmvUaeqVjy3Ua19YqcEr+WwO/Xfrechg8uo/TzyRgw1eahlzZvx2\nPKElznXeubd9aEKojOsCRPVLasajMFwqPGsvFbbax5i4fGL4AnLmsf1+nO1bLf2qtZdSv0j/69Pz\nUh6lYqWrKuHxk5xxnUwkJerq4OodJ19lsEazHJVAKpg+N96S7FFKloHpCkKoeFbFNuPU/AiKwnlv\nq+3JI49DmcYqv2hlHKkpXJ0Gq9MycKOMfNLdSDORtZYVu0R0lhuXwjTyqHZehDoZ9dNQF+c+H9f7\nigvVjCRQ1jR3UpS60WIGfarucY1uEQONb/lTfNkZjMIL5a5yHc7g2eY9hwY/rQ4M10zaj+OqKxGd\nFVu/+DpBNTsySmFu1x79QfVzVDie/HfJGZCprhcpbvf1blU/0QNtdeQx22fNv6r85m+XZBma6wdT\n1eg6Ke5045rxSno+tcdr5q2Vz8Kpwq7RjBgZPMbp3M6d6C0tQS36TlgONuiR7iSfnjTWMtZdurHh\nu3LGObr2dRgXnHKr2TlsHT+GbGMDasZ3tE9KexSJe2RBiE9+P9IghH02k6HHg32uYXmPuv6whXyx\nZ5sHf+fnZnBg7wqOB2ZceThTB8g2NqBm81fhul8PAIxCJRkS3lkwrW+aOw9jtnjWZ+l73E+WQDFK\n06w8UmWyFFiEIndF6TP0ozpt9vuwkxfb0IWc1Wh0iqwPdfaiRg7jxPPKpowvDkWddmWK8Dw0+HBK\nsOOWriiq+HC8Y2kQwv5dj0xoPB0N03BpVc13EENKPyHandAZc0XSmwGUPcor7eU/+Ld/AwCYKWdc\nhdFhVzkzE1y3fsWEK6HFU1kqbEYvBmPcqyfJM457XK3TZJ1KvIYoKQXSVSeG70rss8Z06kMDUl5/\nUloc/QK0VK99nXDUGDSoBhqI0v7dmVyHjqs8c+lBpbD35h/E7u99Sn4oW5K4VjciGtc7LR959LNj\nUGVkBqsZb42BNb/b0G/y70sXXIgT3/j64ItwOJO/3CYgBuMqX8ryEtQN7mps+I8IQ//rU0WpetoT\n9zDbBx/m5no4d/8aNr12EGdcx87xb34TX3rR83D3R/568KBYKSysw3fV52KJrv/qFuOz7ihmtNx6\nZMclNiCGR+/pv86GwE6DWYm898NKSsmspPlvW8XVFikKPBMOyfLq2UilXlMU+3VK6XdoKWfHWHKe\n0tgN3QaPYdc/W410HTxpMBuVUeAyNl3vP6bhltIRO2Bh+u/1oGZmwg2Tr9PXCrHhSp03T1mMMEaU\ndapwWL6ZfI9rtulbKuz4K0VSwyi1Z5PdIlQcKIXZPdqMa4xOMN355BHdx4lWX8+Z797lzvjiky21\nbAvhqpm8Dddn86V8DHUWm8jkikvPu0a61ROl+Sw1fEO3Oa/Diconob9ghTv421texuq1D8Tq1deU\nz9XMTFnvly+/AnN792H/c55rBhQlQ1M9OrOyksu5UglWzOder9KntAaEDb/KXPp/ihjIEdMvkTzL\nXgFg5Yorh84Mw9Udp0fQFMy+hqXu9TJe/RBzSn3JzAyUcEWUGYfcl/a1rWY6GmAUuKIFnZ+bwZn7\nVoORcMZ1zNz5oT8FANz+J3+MHY98NDL3CT02xcvfHIz4q4XFQEfcODXSKrjFY7vBi7luxitjzubh\nw+Xn+f2noXoikVwzJHl6y4OLw49/7auDx8ZetN7cvBWsmc6ZpRVL3OJ+w6ULLrR+cyqR4tTVvGGo\nDjpIaXI0Gtoo05mv+ikc+qd/xJHP/Yt2+JYf18ETpXzmCal6p2VmZlCOjNm1SlDmKFivV/0bJWRF\n4Mrz3uoqegsLWDj7nLJMF8vAekuL6K2uYm7v3sh4BAWsC5A/m92xE6vXXIvVa66NT0NN5k87HWp+\n3j4UR6qr0YMYpjvl1/WmXaHdT3rac56HuT17sXH3XXLQpWjtdXCHYtVIu+BsZmU1f2brqZlt2wd/\n85lRf2Mf3qOZbWxUveThZpsbllvnSgGzc6J/Nz6J1dkxyBi8UksLa/Hsc8rnm4cOaSEFypAtaJnO\nmdVVzO3fj97iEo5/9Ss1i0hEZwyoXuMz8GAI5PJvlLHYclYnFULnd/tDHgY1v4CFM88S780tVll5\nly66OtUhcWZnqu2Q0Dm2fmxlQEoIS3tPvRW7zQ2HaFokRR9gBdnJE5hZWcXi+RdU75l1WcueNPYW\nFyt/Va+HAy96CY597as4/H8/iznj+pyZpSWc99ZfEiX20VtagpqdLQ3geKr1c8ejbsLypZdh4cAB\nI147/r3f93RDftMYqfpdvPBCHP7Mp2rKJ0gcOzhfuJ9fQG9+TvolHIxyz+gvX3Kp29vcHHpzc5ac\nzVYgCOXfNTAptqv+crtx113OmPc+7emY3blr+EDvt2nBzO7YCQCY2bFj+Js0eOubzIhg9Zpry7gs\n8qCKPa3zszM4c+8qvh0Ik4brmDn82c8AAFauuGrwoJy1q3akpCWEC2eehd7KCraOHMHKA67G4nnn\nDYxXAL38bzUQQM0PDbqtewezi0sXX4yjX/w8li+/X+lO9GzKM/ySi+4/nEkphcXzLwAA7H/Oc9Fb\nXES2tYW5PXtx8vbbBgbLIKRKEHolLIyvfc/8YXz9rW/Gcj6StvbA63H7+/9w4GZ2Fr3FRczu2oWN\nO+/E8a9+1U6CUli84IJhXhw9CgDY89SnYev4cex+0lPsdBZec6O4UHa7Hvt49BYXsXjhRQCApQuH\nDWh24oQdd87M2lopazUCheVLLsXyJZfiKz/3M2LHWGL5fldg9UtfKvO4YOmii7HriU/CnofcgHvy\nrN35yEdDzc1hft8+9JZXsOvxT8DWsWNYPO/8gWwrK+gtLmJOuzrjWD5IsJSnc7l/CbY/4lFYveoB\nUfIBwOyu3Zg/cAAnbr21Erbq9dCbX8B5v/h2KKVw/NZbceLb3yrl6c3N4/y3vaNSfr3x7NwFtbCI\nhTPOwMy2bcM8uuRSHP3iF7Bw4Iwy3gMvfmm0/Clse/D/g7UHXjfcDpCj5gf7pHoLwzTtuPGRVgdJ\nZ27/aVi9+hqslbMAA3pLS+gtLrmFMBqdlavuj4P/70cBDBqW3vw8Dn3qEwMXeYd3+dLLcOLbwyZk\n+X5XYu36B2Ppor4ntUOWzr8Ai+dfgO0PvzFCrmHdPu0FLyoNUomZtW3AzAzm9u7Ftoc8ZOB3ft4q\nG9sf+jCsXH455vbszf2tlftSLTFmqh1Jqd4vX3Iptj34BtzzD383cFO8T+lwpvywp9KgzmXrzWqd\nMiVf21WOJeXp1Bv9hTPOKHUVgMFATq9nDejM7jIHSYbvX83OYsejbsLdH/6rapr1DhyAhbPOxvGv\nfw2zu3ZV3tPG3XfbMs/O4dw3/yIOf/IT+NZv/kYtI6go/2rOX7fPfNVP444//yAWzzkXx7/+NfSW\nloFeDzP5IKbeQdv+sBuxdfIEDv3D31dk2fGwG3Hy9tvK74VuKMubUli58iocu+UWLF96WXQaZta2\nWTPv86cfwJ68HcHsLGbXVjG7fUf5+67HPg5LF1+M2e3b3QH3ZqBm/AeVFGx/+CNw+wf+CKtXD+rz\nxsHhe+oVuqaoI70eVu7/ACxdeBFmtg3qhKtu1EHNzqK3tITZtaHOLcv+3Bzmzj4H+5/93KqRGQzU\nGFDJD9fZ94PPxOK556G3uIizX/uzFS/Ll1yGk7ffjllN9wPAbN5JnxHyfNsND8Xcvv1l+1awePY5\nuPDd76kOhnuY27MHM8vLOPGtW7F67QOt32eWlnDOG3+hlCWWlSuvrORrb34ei+eeV36f3b4dM2tr\nmD/jDMvvzv/wmMr30kgv+ov5gEIxi7vjxkeW/akm9PJ65TPSt91wA+788z/Dyv2uwI5HPrqi3wqW\n+32c/O53vGV08dzzK30lNdMb9CR7Cr3FRaxd9yAc+qf/g6Nf+HzF395n/BC2jh7J/QwHdJcurlFG\na1DagcZKgYVzzrUcmZMOq/e/Gvf+6zrmTz9QOp3dsR0nv3MMvaVB+7/jEY+qxFe869lduyt9hLWr\nr8HSO3611D+zO3ehtzDcu71yvytx7JZbsHDmmYXA+Z96s/FS/6q3sDBo//L2prj+Zm5uBmfuXaHh\n2mW+/dvvLQ2bmZXl6o9Cu292zGZWV3HuG38Bhz/7aWy7/kFQSuH0574A935pfWiEGoH2Fhaw52lP\nx+0f+CPMn346AGDnTY/BzpseU3E3/CiMBimF1WuuxR1/+icAho3h2rXX4fb3/yH2/8hznAlZvf8D\ncOGv/2ZZQVSvh3Pf8ovItjbLhmH50stx/OtfKyvg/Gmn4dw3/QIOffITWLlyYOAvXXAhzn/nu8oG\neW7XLpz75rfi6Be/WHb8dz/pKfjOb70Xc/v2V9NSSNbr4cxXvwbffd/vYvnSywEAux73BCPL7BGo\nhbPPxv5nP7dcfrJ00cWVhnhmbQ07Hvko3P2RD2Nu/2mwyMPZ+7SnY+dNjymVyfKll+HO//nn2P6w\nG0unp/3o86NnXBcOnIEDL3mZ9by3sIA9T3oKFvasAbcdstJ5wa/8mqWMeouLOP/t7ywHQgBg9xO+\nF4c/82mc9twXDNK5soL9z/zhKNnKcOfmcM7PvwWb99wz3CMIYNdjn4As2yo7+gsHDgzSbqQjlr3f\nfzN2P/6J5cx8wfIll+Ls17yulsxtYBqtALBy5VU4/UU/hpUr718+23vzD3jD6c3N4cCP2e/4wEte\n5p25md2+Awvnnofl/iWDuIWlU8v9S7HjkY/GylUDec74yf9YCWN+3z6c/vwXeuXTUbOzVofSZP7A\nGZjduRPL97sCSxcPDOJt1z3I62dmdRXnv/2dmFlZLcvt3pt/EJtaRx0Y1O/CaAWAs17zOmtA78DL\nX4F71/8/zO3aVbq5+6MfrryTgt7iIk577vPRW1nG3X/9V+VA28K552Hh7HOw/cZHlG53P/6JWL3/\nA8r3vnzZ5dj3I8+udGS33fBQzO4cGqUrV1yJ41//etkp0dNZsO+HnlUxlJcv7uPCX3tPpW5c+Ou/\naZW3YpZHzc3m+fUDWLniisogxP7nPHdo2AA44xWvxJF//izWHng9lFLY89Sn4fY//kBl1nPbDQ/F\n/OkHyviWLroYq9deh+XLpPZHZm73Hpz+wh/DorTKRWPx3HNxxkt/vPLs7Nf+HObypc8nb/sugIHB\nvf9Hno2tkyeBzc3KaortD3t4xf/+Z/0o7vyff4bd3/tkAIMBizNe/hPRshcceMnLkG24DUw1M4Or\nf+PXcNeRoZv50w9UOqASe576tOiBy13f8zhsu+EhFeOmYPWaa3HaTA/L97tiII9SZV5mWYZz3/KL\nw3ayAWp2Fue88ReGgwkAdj/xSVi96gGlvt/+kIfWDLQ6aL929TXYPHgQq/d/gHOwbvvDHm6968Hz\nG7F6/wdUBhAKegsLWMnzx/ot0mgFgDNf9WoACtnGhj0onTPvGZx0cfrz/Lq3t7iI89/xq1GGxa7H\nPh7Ll11ergKa37sPZ//cz2P+tEGfsLewgHPe8CZs3XvMF0yQhQMHcM4b3lSGK7H7SU/F9oc8rKKr\nTXY84lGWQWZy+gtfXPl+xitehdv/+P3Y+ZjHAQD2Pv0ZOPqFz2PHox5dcbd0/vnDzxddjN3f+2Ss\nXf8g9yxhDNIqwdywLMpsb3EJux73hLLvWLR7x7/2tXJAbfGCC7H7yU/F2oMeDGAwALF8+f0qS4HP\nePlP4K6//t/W4ETBru95HJYuuAArV1xllQ190Oys//jTFbmXLrwIZ/7Eq4Zud+7Ersc/seyDN2H3\nk5+Kteuux0y+zP2eTGEWwLHlY/jqvf+Gr53mH9RR4ixZB7nttkOdEHTv3jXcdtuhsMMIvvSSFyE7\nPlAM2x/xKOx/5g/jm7/2Kzjyfz+LPd9/c2XE66L//F+xcc89OPi3H8Xcrj2iUpb4yht+ttyUfu6b\nfqFsKDcO3o2ZtW2ikjvy+c/hm+98O4BBxTn7Na/Dl1/9SmzceQcA4JyffzMWzjgTJ++4Hce/8Q2s\nXmV38sr4X/86nPjmNwAAZ/3Ua+uNtLbA0S9+AQtnn4OZlRXc+p534/CnPgkA2P/s50Y1oHf82Qdx\nxwf/BwBgx6Nvwr5nPDM67pN33YW5vGN611//b9z2338fAHD+O35FbDgB4OQdtw9mC2uOasXQZtkl\nk8/m4cPYuOdgOfvcdcZVfjePHBnM7OUdj2xrC5v3HGzWsTnFbBw8iI077yhXMKSQbW3hrr/8Cyxf\nfnlluXFXOPKFz+PgRz+C/c96TsIyzNFD/ZvGXR/+K2wdOVIOLpDxMA3lV77HtX30PvRpz38Rtl3/\nIGydOIF7v/SvWL70slMiwyTxl5//FD71z7+H7+yew8bswHj+o5vf41y2wxnXsZJBzc3l+1+qdrm0\nVG1u1y7sefL3pUenhekynCIDGsize09luWesv1NJZblXyh6e2L28AnM7XR1bdzj18pOQdGZWVzvZ\nwe8aM8a+PNXrTZTRCgxG1r1LUiNQvR52PfZxLUnUPiuXXY6Vyy4ftxikZXY+6qZxi0CmhLEYjHl3\nrzc/jxVxJSTZQoZv7h+sarjp7Bsxp/yr62i4jpMss42pco9rO0ZeNZjIMKW4U8VpKR3tIGw8H0fc\nhBBCCCGE3McpDqW9ePZ6PPnC8OAo56vHTWHYmQuhTYOvDQMw+tROz4loQC0brMGEZeskZaHzdNpT\nLQghhBBCCOk0rZ1OfN+g7o5VGq7jJMuGRmLx5lqecRUPWkoKJXnKNTnO1klIf9qF6VJA7QRDCCGE\nEELINFDMuMbaGTRcx0llqXBWPgIwohnXWHfaaFHMHVORYY1/prHZ9G9r0o87GwghhBBCSOuIqxaJ\nh9xwjcwrGq7jprivtZwqr/cCw+G3tWRhCipf06XCjeLm0hFCCCGEEEIKuFR4gsiyDOhVZ1y1Kdf2\nI+xFhikezqS8P9cKa2wIM8k1/HQrLYQQQgghpLOw2xhkq1wqHAcN1zFTGFDWfbqxRma92CKdTemp\nwkkzriOIukt5QgghhBBCyDgoj/bhUuHuo+9xzbRnACyL6VTucRXjbWHmcdwGW8rJyImnKRNCCCGE\nkPsYXbpOYwLIUG+lKQ3XcZJlwz2u5VLhwZ/W9rhWSLgOp57XuLDGxFj3lnYoHwghhBBCCBk7GZcK\nTxSqZ8y4lpar4a6NWc6UfZ3lk8QRpNTTiEdBgiyqtZEzGq6EEEIIIfcZ2PULspX/5XU4k0CWoSzV\nWXEdTmG4tv9qoo1fyVnyjGGXau0YN7lWguxSnhBCCCGEEHLqGdo9NFwnA+Me1+HztsOvEaY0S5s6\n8Zh6GvEoSMoLh//acad7JYQQQgghE8DYO7uTBpcKTwTlCIO5VLhY6z2CGdf7/FLXcd7jWgmz/SAJ\nIYQQQkiXYIcvxPBSFc64dpvSQM2vwzHvcW1rpk8neqmwNOOause1S/egtrPfNy3qcaedEEIIIYSM\nFPb3alLYQ3GuabiOm2Jm1bzHdSRxte4wHFKXKnBHtrhyBI4QQgghZMrpUh+4owwvw+GMa7cxNyPr\nS4WVQlvGjarsMY173WI9a2XmtEsVuMHs8yjjI4QQQggh5D5AVnPijobruDCWCluHM40TwUBLt1W7\nY7ClzP6OZsK1O3lCCCGEEELah929MBlMe8gPDddxYxzOlLW9xzUpHH2WVlnPkq25sVfgZicsN1r2\nPPa0E0IIIYQQ0h0ks8cHDdcxYd/Xqh3ONKohmibnEaXK1KXhpiRR2pe/S1lCCCGEEELaoTrJwQ5f\niPJwWs64dh1zj6u2VFipEe2tTNjXKfiJ3UBthTV2i02bPT3FykSlvAdCCCGEEEKmlWLrJA9n6jil\n3Zpfh2Pc4zoKVK/JUtcpMLZS0tBWsqcg+wghhBBCiI8uTdh0n+GpwnHQcB0X5qnCw2OFc2N2FPeH\nxoVZWeZQbnGdgsqXst93FDPG05CXhBBCCCGENCCrabrScB03PeMe11EeLpxwOFPKz9Uou2SkjfEi\n107lAyGEEEIIaR1292qRWbes+KHhOi4cLyorDmeqTPSd4logzEymy9DSqbwtkLRfnltTCSGEEEII\nGRlcKtx5AoczjYLYPa5S/KnX83TK2Eu5x5WbXAkhhBBCSASdOpS0+wwXCnPGtdOUdmppuFZ/aM1g\najzNWNdvG/GPiBRZRiEyFRkhhBBCCLmPk9W8yJWG67gxjZgR3uMavVQ3eI/rhBpeSVtcW0r3hGYZ\nIYQQQghJgH2/IMXhTJxx7TrGHtescipTe/e4pu0rbXGZg3RC8dhIkWUEQo89HwghhBBCCBkz5iUr\nAWi4jg3HHtcsG91K0siARWfJBmiHrLSm97g2ejEdygdCCCGEENI+07BC8RRS9zIVGq7jonhTPfMV\nCEuFT/X9oUKlSz0RWLVm+DVHeb7F+moHKjJCCCGEEHJfh0uFJwPzOpz8e1bvHt56tHWPa72LXOPd\njpoEWdq6wmfcVwERQgghhJBR051rICeBrOahtDRcx42wVLhVY08lVCBpi+s0VL6U2d9RbHGdhrw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vNqogzXraODGdfe/PyYJWkBy57UlgmPwkBqOuXafMq2AzV4nDOuRT62ExwhhBBCCCGTTWG4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\naZa4GmOMMcYYY4ypaf8PQNbeqIbGuDcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x18791f438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# группируем по индексу, считаем медиану, среднее и максимум и рисуем график\n",
    "fig, ax = sns.plt.subplots()\n",
    "fig.set_size_inches(16,10)\n",
    "phout1.groupby(level=0).rt_ms.agg([np.mean, np.median, np.max]).plot(ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x17b5af2e8>"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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SORCrkj7U3beXbD2VdS3NH2Gal0m8CQAAACAGwWhNgsFnZvwfs40jUcwkQnY3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yOeeWZro6ZtrXBH+N6Z0dcTtsHXq8rUwBUqFB8yXsb6qy6RNA0lAJ834HMgzYBM1LU4ePfVktBS\nzYP4S3iAebFdVcRTO2OFZfVLr+j6PPY9xxMwD+BhY6m0Q8zqZJlQ4KRW42IbclrjytiFhyGL68VP\n/thhEcm75SIiY7i/amzcdO2CmoRxsjCL2IXpOw+/KlcCj71wVu5/+oxTQum5HFi4qKDlrm3xeXIw\nCN/xLGR9606bad6aTAtXgfiy//yd35Hf/tRDKm9+N20Qb7sQrXaL1vpmp0QWvsMrZ1bl9LnLXd2W\nft1/EW/tzOh4qgIYGXcoMWWosgdjmy3KOBcr+y7UYj2FTGzOtGgZX8pvGb0+zfZhaTOLAe6gE7bk\n2s6sHdgOi8c2HoVRRl9JlxoRy2htHSm76fr0mpeC++bAN0VEfufTD8nyhfVqvREurW0ZfrfbcKXK\naN9ZMAOVexFLWJi1b2s8TZFrRXwb2IYyWqZZux/oosK+WLFSDgGMWMogXYU14ddiaIhtuOXG6wrv\nfVvOXdqQX3jfnfK+L7T3qDIvlPiXWe8S748WPhJR3fO39u80WSCDSdf4qkGnsH3Mqwj5Jlnf4s8Z\ncJWtySwsUF4AuTApwmS9xjxxI1T37QVl4Q7BroO4UcjoiXMisrjspqva5VzQeHtRD2kbhnl82/Xv\nIWdGx3tnRq8t5EXZiC1V5S9n40KJfq4qC8PQ9pbjQkxh4bDNNECjJ5I2UuECGQHkQqWRWViZgMm6\nr7YDZmjS9JC+QCZtypRUfIqnTE8xkBTmqTD23AbPkD1+jweFbkZRSaBOdZtnnpcJijGEvYjIxlbL\nAOMiO0tclXDHMltGfZ4nXzon//S3b5d7nzotItbVcyfw7s8+Ih/40uNuYWa7zzGJ3V+IUQfZ3IsL\ncVycaNTWzgJn+96Og82tKbVWolIa27HYnXXFdyHYM6PjsT/b2T77M5yTaSO/9tF75f/90N0mne18\nRwsoWpv1GNgaT9O4KbkFlzahNKBnBSqEResgEaBMnqb/vKqup8WTqbI06DwB8ubfKOAwV60A5WtC\nKOMfwZXxDCNAmdLGHtsUq92xJwLn1Qp5qPsvVk14mPNSUJmOn16x44xYZZ86fl5u/fZzItLv5voL\nv3en/MLv3VnNcyVQq/7FU5fkGTXHGWzHTRctyhpKFhtmef2lD98t71AbYdWrXQp4a5sAaLXbNgyy\njLZ/ozIfjxKIiHzu9ufkM99qg9npjYiyq7dPO7ncBnyKcQhYAKO87nTPFZf+7HKb63D3eIIVtrRu\ntGUtvYwHCdDJeKCLb0G+fbaMknUROo9tRKLsmM6MpnqEltF1a4VTf9OmCTaqPCjesS4TAGlqLaP0\nWE7g60HVMtr9rQZLJN8S78pOdKqNlumeZfQaQ2kxNVn6GV0phxV0yopGCQ+Zr8Ishn0EcWENF3dS\nvxBGQHAHKOMUXbL4+LaSBYoII5YeZCiRBhSyPOO0/W5byiY19oW3PEYaoE9rUmGHAL9vKSvSVzFO\nOoEzfYJKHhSW029WBus2dHg8+U6zThntrF/aTddZ1bpnFqjhW10Aka/cdbwrI4MhtZdIC7iYcDfw\n9scMEWLQMprr9HWM8HxlsHmwj5tg6dkcN1ZBhP5jbUAaYr3MgumUUXI+9cVT1ipRsywzvDiHx9Mm\nhdefFAMYcUEHxy2dD2reeuXT82xEjAt5KEyI2nxgU5tZwvEcGLMYuuqZAh2QPI/H81rSDkhAetwG\njEdLlVwRODNatMbw3xofVVrQS0G9+shXnpJPfGMxPX/17uPyhe88X7TeXd1AOv1Qq//f/On98vZP\nPlgt3ydkWtjGHYcdaMtr3GQ6d8menayePwR8bC1B2CVdtCrrRZojT4reGyIiX7vnZfnGfSdEROQF\nxQ9LCnRD6sHvatx0gTewAEbI+/OZUcKr4HnSoGXUl8lBgGK6or2Al+HB9jLraeQF/GoXg4bGC2hg\n7UzRdEkkYMSDMQ/Gk6mxJBbddGHN1Rsk8VviWV93jMZR5dcK5uWHVzAVLaOkrzVYy+ieMnpNgTEf\nFL5zek3Y2EnlrBKsmtAn6BZLBJQCU6WBL/QzExxA8HGTw1kKfB4vGLJoup5x8jw2oU/I8oKYzlnC\nm2ko0afTy3VDAChXJgrFnq46fV6oQnq9NOnLwCuinPrvSc+Viu8rEcvw4sIyHmIZhcV30A7wgE0j\nhJGMZHM8TbvSGi8u7ro9/vyLFwrqu7CYhy8iThhvwJ12PKV94yykRFqrRacdE6UxhACWyvbvky+d\nt3jh+9gzo8xNF+oe66tdcr/Y4c/HHo7t+nkpPn/YQo6Cly7HFGFMwKlIN8QKSqSlw889TMM68jtP\nD5Lbq2QHPsscDVUBmNOgdNGim64wvBUXtQioJGOee548k36fXF6Tr9x1vGi53VEAoF2EaxnAqBb4\nqcRv9YbVz7/zDnlg8YzLU7qew9YxKuZx+K6wT/DMHYNYRew/bRnVoM+/l/qaWXKd1ZJaRrt1h7rp\nWr47O+M3hlwk2q5M5LOloyGYhs/RmwAtuDWPoZoHx+ys3Yw0/LcwdsxGFQS4m06RdvFlut94tUs8\nLxoj0TYhWDddtCpX1r0oL0Tl365PXIaqDe3yUQX+27rs+nJ7Z0ZfRwjwF9PpS+EKDh0Xwf6sWUH7\n6rOISoU1fUT4KAzSEj2tImIZHhcuIA/gQQGOKXYsKImXRUCoEouHMUGRQJUF7ADq+ubq1/kLeUm7\nDMGY5urwXMj1TaEuDbhhGEi7nXXXVdDl6RlLvm7LoEXyWbtJOj8RLaN58cYFPz7bMPddHbDobsdi\noen6nU8/JL+qriGIdW9sTuSeJ08b919s1ww9l9MtuhChERUaDSwiILqiRtxakBlPmoIbMV+wEZeu\nq19p5AGMnj7eKqOHDsy3bZnassYyStx/kce0Z0ZtACMW8KRvTrPNNcgiIVjlHvk6c9NtGpiL5Nux\nenQmJohRyygImFQ/hPqoe22ol4lplL9hmwAvg5Iw1OLlY9ScGYWo1Sld/047e5wGi7xMn4i9Vsbh\njyiIa+RuwfrmRJ59pe5eG2GI4lULUtQnZGqoWZJKZCB9t93vr8BxV7vsAK+hJVmlGnnv5x6R+5/2\nCvAQqPVsPjMaLaNcHGeeND5P/j1tOI9jUdLTnFTtxbrwmharNNpo7MkLCJQ+q9jx+Ur5JMxtpuzl\neeQVMrT8sntGUXZKV6CJbRcLnpTb5xmpt4y2da9vtWvWoYPt+haaQNdBvQkbAr8qDa92KSmKui9K\nm3kafLBET1+kjaVHMNF0J6QiBXvK6DWAnS01dWGvWpIICf7Z/nICAqVge3W3CiMMfMBLLSxE0XSK\nXmOlIX4+lQlHrD4oY3D4SY54JTGPet32R6cIEEkM+Vodb0lQ9AuYaTn2aeGbMwG4qHASKFln6HgD\nREwAZTuj2WWls4yyq12AduMe2v1Fy+hQGfEb974siy93gt9I5IVXuZvp4y+ekw9++Qn58vdfcu3K\nAYxs2/Tv2p1mqMCw8zMYrKhNQyUsOMVO/21/B7pDX3fTjUqjjWbL7sCMQY4OdBdqu+iCQeMdYBlV\n94zGTQh3XgkXbqYQwrgtKldEGLLvYRzDfH38pXPyyplVX5bWbT8Qy2PHgP1+NaXA8yH7fSmfrGwi\nsk2UQMqwujUka07PuTwTTZfwcZ2u6WugLYwPoDs99uMMBDhieeQqWkbf+ZmH5bc+8aBzeWcwRBne\n2Cqfn9/emdHylREDxRu61k+mjdz/9BlZ35x0uMpzsIYnv2v/Pn/ykjzy/Fn5wJfKkW5p+QF5kss8\nuOmi4h/UY9EyqnlivO4Ksk6A9+pyqHgizpZeMXkjHrO5mtbkSpyEYPNG1afmCUU9P3ADgvAM1wfk\nnlHHEwreK5qZ4WYvk3Pymo4KY/t3LgY2grWS8eYm2CsH0eWVlmn6Y5u06bYeEb3x7csw2STXF+Th\n55bTGr5nGX09gQgA+DyE56JQk8va5d2X8Yio6zCWo/SVBQuKB6kLhcW/ZwFy9JC6vZsd32mrRW4U\n8UzG5SHCRiDPrg3CAwQ1Do+rijC4chmuRBZGGNTFGKdnVGWsZUWdMHpTN4+g6QVZvzDqcukMBkTI\nGzN3JHC9YVZrFzVwgJC1dGFdPvPt5+T46fJVAHim6qVTOS/uEtMARt3P7PrFF6s20eI13xhcjWI5\nu9uMCqLtm5hmXJYaL/yULKNodWWBpCYgDNRc8NKZUdIX0dKwNZnm++8m3GqA854GwxAc2/47eDz8\nO9lx3Jh6Lq5uya999F5Cn68bdFGDmFkTcIed8aWs2HKekOonfHwQL3DtUs/wt1YWXdLxmw65Z5S1\nwWWhCyucqcK3RBn1brrCaSpAbTP6mRMXzP2YUQk9dXatVCTTNUQZ3awoozuIphuhdsynBEyJvP3B\nk/KBLz0uH/3KUx0ulb/Qvlq7h9JSLF/Z7Mn1t38jv4s8amts1wtmkXP1qeRNEtRNpH61C+Xzrg7P\nD5og1NNnAmsIU2DYxijWlb1hLH78rfMyPo6yAVpq+7zhpk0w/eHvaRbzV9MTIbnSdsmzavPBnBmd\n+v7BIzbp7KtgP5XHSl4yeLprgHpJloeORjt/n3jpnLzv84/Kez//iIjsKaOvK+RBSVZYzOvWRRgk\ntQoKOGg5NtiCzVCz0FEyegapzlOjtykoiI5kwrhMHhCO2iJcYEJ6/HlGxpgsQVQhBKkqQB/7yqXw\nbQJ7TA+McWI77XfxAhPrUwpEmGSCp66LDzePBzNhOSZQ2J2/9q8PI28ZpIjeyQymjKYnKjTsepUS\nvLpshT0W7dBFeiQ7kTkable3zg/aaCpt+sfixntV2zS7u9q+9woDdS/XC+HUWkbTTjxYRnX3xTxo\nPWWKr4s+DPToeibEMhrriGdyJpOQvksWCOw3acT3g4gXlhm/05iYIkPHsc5jdVGHP/6mQlZ8Lx5v\nA2M+prEzyyhg2rTA2wabZI4A1wY/lhwgDyS81QmhhAeK5HkswvkHulSzPNiGhBsieGIeXbejs4N0\nR+AVKGEiLd1v/+SD8rYP3u3eDbFaDtGFY+RyBjuLpht/5Hf3PHk6WVRqwDyGX+6C2cXo3siLKJ4K\n2WjV2i5QuQEgbb5Fy2hXF0ZxrykYiEtERRiHyifVKPNtes0yyqxvIVjLaMZj62LztxTQSyQPi5IF\nF3+zvLad7XNSiIDXa1Qs+B8qrKmfQn6PdWPfJqtsV2hWeWCZdZDgmkwt38ZjL3gdTKyfr+ViIfif\n6PVT4r92LRF57Wy7Ifb8yUuGTpH+AEZz1bd7sH0ocJ+qMB7fk0FRQ030L5exNO6MMOSEjEKeQfT1\ntxPxYja0vKByGtOQHr+T5yeRs4gAnficBTEUYnwfIx5mgXAWViLQoXBl2iDYX5bB1fBaZZm4QmMe\nrAsXBvEAQ6CwiPDFiQmuSB/bGR3DTiIT2nHX1Cy6YvPMbkMZfe3c5d487jwTEZSSvhkVTqIwJBe3\nSl9g+7AvcCbhjmvJdVY3YQoL4+Z4Kgf2zzklx1hGu4UIlU/mEly7ExbvL6VuYB0jyFcRZFpyYA3T\nDW4ThY9JX6b9AXigTN88K4XFr/HAjIf/1W3AjSrW54xZ49jUiNwmYuIJfl7lMq6KsuUYcLC2p2ei\n4Ivg1S6+LK4PJRdhqjyDVbNk9dSAwvdIRD7wpccHn0ecTIOwY4U1PjVMGe3PU3PT3d6ZURscTtd8\n2wOvJKWyBvRIjrMC+TGVnuN4qfRNzMPcrTXef/On98t/8tNH5R/+7Z+iNPorZzxdkb9FTw5URjUG\nje/OR0/Jj9x8QP69f+cmM7fY5qAId9PF8VtTfLm3TZDNLR9gSd/93TSotNg62TniTI995nJDgOdM\nH66VeOVMfIebtljXtGmqm4qZj7I88TuDZbRz08Uzo1P2LQJswoKFl90zyjwFse2aPtNmWDvwmyda\nyXfVoBXQPg+KPcvoLgNZt92iTLLQl2yNqJUp7Tiz1NruL29DqW4rfHilA+u1lbVKJdDSY71JuNHC\nRPNA3Ui9o7Fg/cC+gHbqvykTqTtAIsODKKzQhwIUw+vrRwhQH2bnwi3SZZktR2WAaBAAACAASURB\nVETqLoxtgXYxwVqnxd3A5LJCBENcjNBSqvPU7lMrwamz21dG6aKWFmYWTbf7Xdmkx/5hvACtYjEf\njnfmOmtchBob5GiT7MSHYBetMXEdawJG07WLMHM9Gk8a/n3JohjdoHT+WgCjmgAb6aO8ATbgvDW1\njpd5h7R4M/yz37lDzq9sGLw6F6OFubYFwQ2A+H3FpQ2xECKtyG9r/C1mqrW9Ogf77hntudoFBczS\n3Kla0JApkrozfptpNJJtBcYpXaFSUziHuNAOOY6wa2dG8ZwvFO2701TEK0kinr+z74rn4GpKOG4O\nMtjcmsrx11bk+ZMX3buS6zjjXckyOldw0yXz9eLalnz0q0+la3cw2A6WE4E4CbDm1dZFTQfjCZre\nZKmbWsXXtLuxeVl9ft2OZSw9bR77rna8J7u3isnTJ2vgptkUPGzYBj1ugE1AYdTrkw6oiEprm8Y3\nd53nly7TFHhrha8zuQ/LlCyjjI/sXe3yOkKJv9l0z4lbIaYHd0myd/ns6z6BwKUQwabUMDaQI7Rj\nE0c1oQ9wlnbdTR4wETI8ru3iLaNoykOhlAkoXuBUqAp1FYN31JgFEQr9eUv80eUx+OzfmJ+NSd89\njMDC31S3Z1yu3SaPQyO42cC+gw+WYOvU+V30O7ZTi5bRAUIWnsliwgtaDugOcJeU3f90/g43lDeL\nJZjT0S051uXnqD/PQwMYmcUSLKNbTBm14z/fB2oFF/sslva40OpFeNJU3bB1HbNqUyG+HheV0aGb\nUGRRRv6KfIn1OeDpH2kiDz+77OlLtBVowTaEusAJKIp4cCxxK3GBTzpeIC4PEsE2Z2ounyJoGfVt\nmEw5rypFoTT0xLFKeDTWnfHbZ3auFAFd9RjU+NTuWUZrbrrbsIzGH0l4HzLyLfANnfbv2sZEPvTl\nJ4zy7C30fK3TEPu9ZhlNrpIET1NQuJjlseami7wifk9U2lEJiWU1TEBB1DTErDU33dL6gfR6IwD3\nZvHzmKzb8Lcmm5WUSJ1nAkpczMPWUt0GDAaEyh/zvMC+zS7C7R995YtR3unGGT8zmsYQWe/b4x+e\nv9VmXHyX83Ler+nK6R63dg3XvxnsuenuOpAPPpDfotLB89jfLNd22bsTxAiGAJVXlagOhlgBihYI\nU4YLdEFaRhZIGxg9ASUfQg8Kj9wltbTjVMaTZEXow5qwFiA9JvbSB+Oi+D0J7c7aSevCvxYPF3Bh\nocFCIjAuLGK60MQAEFPcpfR5huwA+2i6/TPp9Pn13jzIhJlgHf9q19Lchm7RBsEIzwK25Sxe7FM2\nJ5wSSQQmLUxMp41REFlEW5xXWyyAUeDCDwZE0jv6k2nD+8/s0LZ/Z7TlLAojnfuYi8QIu/6o3Lf0\nccWpwT7WeKkiYzM1jMGRsiOiXGW+gtRy4cO7Ydvx1+KyacgbYtqQDbkhvMqsK8BbSq7GGpigKmKv\nV2F50HLA2sDq03iy9dm+p2dGIdMAXdQKoAXLQskjSmSYolhSWHXdVcvoNgIYZTfdFgawWE8Xs4yq\ntLufPG3mipMLCspaS5/niSVgQdlynbwO/TmygtT+jZYyjE7LNk4XX7Z3MTPeVVOEcc1jZdw8a8gx\np+Dp9eW4Eu7PjFq8IuIi2/K1E/BqfgJ10XtGwxA3Xcuj/T2jvkymI65rti1zSs6wm6m+HdOmMWMH\njybFa210nmnTyNzI2xuZl6F6MDQy3v/tB07Kjx05KLfceMBZSbFfNM+aFPhMhD3L6C7DEOaKH7qc\nD7lo+g/S+vAxZok5NCKC22HkOFH44CSB4OOEC0sgwxOVT+1SSa2+PXgsNTFPcO9wvnIhqzzJSZd6\nvOlvjQEDFkJggLq5IuzPDxrMAZ5JVSUh1eAjDUdLEMfDBUW2GKH7S22HNS3CWrCDhXk7ltGx2+3z\nEia6p1ABuPvB7hnFHWS6CwuCPg/41DihmW3GmDtYUSmQ9j2eGW3xWzzMPRaVT+o6BhemOzfdilCl\nf8folHreowCDeDRtbft9mn/GcWvpc5t0ILAxAc5VLlZ5QcWJCkNkDITABU42JpEHGHKC7zNEVOYF\ndg5zXsBpaN91T+Dy6SyPai4yBQTP6pbcffm6IjRvhCFXu4wqfvfrmxN58qVz9pxYUWnMv3/xAz+Q\nB59Zyu+GWEYL+qqem/Uzo/11JHBX4gwvGoFbIm2ivmv6zkdPycmlfBYVlRcNyH9rSmmso7Tpzurw\na7lXkLZMQCAeZOuZE61r8I/fcr3BJZI3IMZTrNvT4YLFEcW39BzTapZcloY8GHkYy4ObrTYN5q1p\np5hy/GqXAW66yLMD1u2qdhu52NdpfWr4+oX18zOjAcrY8VXlreKfS+xC53n4uWX5rU88SA1L6EGh\n3/dZRveU0V0Gst4OslS6eU4K+SylkaPx9u/+hgBlWH3BP2t8qS60JACJbGcNW0EFFMfg2r/sKgyd\nB9vurbfAmHxVTsDE+ug3L/U75GE4c17PlETs4sS+1aDv6Wjheev0igPvRhx83cgkC22onf0Q8TuI\nTCiNP3HXlF0FEncXt3PPqLNekTxo0cDdxPZvV37kFeFsGe0S2FiH6LncIkfGf+MFBVt3hxcWQp1n\na2sq6JbbhECDMHmXYO865iIfozJKxiQ9M5o2FficNv0AQh+fryjElPLYevBLTBtwD236N8lESvdm\nIs+wbfL0BRudmDByVMTru/62uJkzAawUgFdlc+B5oO93xIvABH8U7Gl/VSw2WOfx11bkC99+1tHA\nLKNoQatZRt/7+UflnZ95WB5/8VxKi8Lc6vpYvnn/CRmnu3sz3rOXNuT3/+yxXOeQM6Ol/lN4d91N\nN9Y9SDqCMswySvhahNsfOim/+pF7e68CElG8nygECGOIVWBo7JJc8DoyH9Ldx92zVu6moIREfCvr\nW7a+xo91PGPM5hAqMQ3kwWMUTGbxllGfpyH04ZqAm5maLkafW/fJN0NDQVL8FX0NuLMyyyTy6HRn\nKNRjFGHQUHHTRgdKpG668N01PWnsxTWTBWZqcGOUj2k2xGteMSIi51c26UYLbloN8eyIsKeM7jYE\n96N9Cj6LW5QhzxABJZDfzLLnybMCicFDBBtn9SO0eWsDW8XrEyaVK/RFXMDbiRDyc+D1B3yudXoh\nT4C2BF+MoYIypFOF91GNWfg6WDp8rUF1eGba0uYXEWTwBlewSNI7g9cWYoy8uFsJQrz+G/MxobkW\noRUVmlkSRKgENRe5CJOJzcPaldx0U5AN3+/o4sYW5gilaLp0Mwi+TV+Amylc7bI5ntJxyZS7CXyr\nCXyHEDJuFoBnDIpwErxUnuRurTaqcFGmyhQVdMp8j3uH1Ps30qfTStF0saBWXhz9hD52vU8IVkhN\nghzyWyK4DuJvAmmAF2kEFqPaFWwZx5e0p0CAsl06tTaotGlDeWvfOjY7MzJ5/uQrT8oKXEnCoul6\nZbSsjcYzgTpadxTmPvqVp+TTtz0rX7v75ZZeogxFzFdyZlQrIrsXwKilbDxp5M+++7x84Y7nB5et\n1Tdso9S+q1lGS+cuNZTOn+u06pnRpEhYF0sbEMi2DTdM0EKm66h55KRAQ2i907xfgvH8wUjmEae2\neDE5DI0CuG4zhQc3j/lxAlsuKblE/tXHdfCoxxDLKPLoUlBCHi+j+1YQ9GhWnRnFunS+mEYto3AM\nyW0IM/5bEiKFtd3yYQ1sbLtI0CrL3tUubwAo8jMzUIhog2OGvLcDa/iiEIoPOsGOZFtVHKR2UlvB\ngtdr0RBG3pA8XcLMaCTTTrgMoV1023MeSGDUiyzzYosWCs10Zy/gs2eKYhiRtxLYHIRZAENjTDoI\nMGQmBEIbshJpyWFDBzcybBssYwqkTYgXFVfp6CdoKc0+T04r7YQyQbqB9jFBxEfT7Z9PmIXJl+jK\nSxfUZP3M1jyWX0T1N1lAG8CH480LCv5MErNW6r6YTJt0vkmkPQ/KFAFm3cVrY2zURW450Hkwmm7J\n4ipid57dYu94q73UnI3t4nwFnoeCDY6j6dRGcd0quC/ht2Ln4NzcIWPC00PyOP4h6rmAR8SUwTyw\nHOTvRvpePRTxYV0jdGknYxt/o4LKLQfAf6H+mZmRX63hkbnpogVxyBWWGk/kT/Fu41Odosr41Ozs\nyN0HXIKSK68uu7G5S2dGu7/Pnbwoz5EotEOAK3/9efJaYHllTJsZjdI5Y7YmIUx2dGZU86kOD7iO\n1txeveunn5uRHrTEsbGOrq64UTXGu0mxnxvvRjzE+8a2xa9VeZ3OtGA7UUHF86W6XZqmzfHU8Umm\nCDuZJei5aDcBOI+MbenKwDlPuz5ZvqTzxbJVy2jjNyVK1wrhkNZc6a/ueVl+4kcOZRk0lRUHbEN3\ncwuV0bwW713tco2BWotE6IJbxVPKM4Tv21nNrWQVcqhgMaAu5FVF91Y9YRlKolDEJzOBRURG7YKN\nAlTE00irIIxEHC2J/B6lo8UdKs+eeVDFGJOxv1AJJWXcgkC+VbEd8LGoBR1xw/e1f33lzhpN0GIC\nc99j1iyoip+TaKwilxfdfC7n0uUtsNDFsu2PmRmvEJZg0LlS3KEmu+PZ+mnpxt9tQkwnONPixPqG\nzUdfFzvHiYucsYxuTenCx3b07XlFi6cJPLiOzoMuwihU6d9RYcbuG08aeicxU+SKzFH0mMTxb9uA\nKNBNd2viLcsMmGUUeQS1olR5V/whKq10nhwWBEJzfQ57PA3wMySHCfX+k/h2isBYI4LqBIVkl4fj\nnZkZeYGO5EFwwtiACEYaD14BghE1NcQ7DK8kgJFOX6+46U566mhCkI985Ul57IWzg4I29QE/ghB6\n8+Aawja+4jnekmVTQ4qmS5qfo+ki7Z4epHmr4qaLUXrxihH9zh8P0XVn/PoZNya9ZbSHzzfBtTmE\nQOeit+KV153apmOD35P0hW77xubU1WUVaofGK9SgabINf+Qn0ybIA4tLKSGfGbUboQ37poFf7VLy\n/Ip4+/ivboNI63779XtP1PUXaJ+mccPcOZtt1PvmZ/audrnmQHkXZ2h+cQ+lt10SF/TV64E1+0xo\nfSNVU7w6mboAEnqMEgQuChxPnlRGUQjt4hEto76/dJ6RNKwdUG6QK6Nw9wf8nGyxw34OBFFVGCp8\nKxwXpggRrAMr5JIKCmtP3X3aqLOqJDo1zSXG7hcwg4ssjvrv+ZVN+YX33Wnu98u7i37c9cEQJaIq\nFMAuLIsIiO6Wedcy58nnLKEO0+9kAXG71oUFHxRADGCEeN0C341bXNCn0yBzs9kSzaIco9CCAXiw\nHIuKjAs5EwTp5gfmMc9C8+iEyRTcPLo0Xf3WuOHKHyo4LEIo8BUzF4h1HF3SqLKH/M7xpcRaExSt\nnj18iNHH8tDNKxBQUW9gwVjMnIFv4wVg3waR1o2/5n4pcuVnRhOekVZG2/IxCmfkK9Pg8eprI/qg\n6KY7MIARO/Kg4fhrK/L9x16Td3/2kV5ahsCQM6O1PGn8ECUPvWJq3bc18UpDqr+gzDI3XXznoumS\nddApIQpPtozCJihukim+mf4CHxgbzxUmq8E6HfxGlrPupr6x7WLyknflVe0JkLdrE1O69Tfa2Jpw\nngP0obVSZ5tAv+e8fu3U/fGnf/V0Ujytm24+ckaj6cJ1apNJY3j5lARmYnJ0+1dsOnyvSdO4vIxF\nuPPQjQ1gtLmVvZjmZmd6N+73lNFdBj8kfQITPGiZIfWRQm4dp8oLDNReQkAxYfWCIMaZtH3W47MU\nn0U/mnNgrabZKpqBMZWW6tEou/L2WYaKba8ohCgQRjS8j6SYB7/SECGQKpqBjzD8xvqZufQFqMwp\n1GywB4Fx4hdL1+eEQrdJoGmKaY1vJ7qiZgHT5tNnseIr5z50BYKchvo9o2LrJN8cvw0bF7kcLOKa\nVrLx4zZWwOoZJM4biweVUeYB4RRPt5PahZ9PUW9BgQBBqU1DRb28mZXO/kK9r5xZ9f3QYF+lhqhM\nBeVK44F5xc6DopvwFjlz2wdsXiG5bCwhfaX1wzab8xjGvNhZZ6zL8wKWB+YDwxPnjm9Cm04tSuo9\njOuS5YxbRnEsQx7qpgt5KtF0I8wqpXaKltECn5oZjYyg2welsacVk3oAI82322tH3vf5R1MZ3TdD\n7lbtA9Yk7APuOhvL27Gl03QMirZMuf9qV7swrw6dHulha4E9M8qvdkn4IZK8/o1uuriJV1P+4m9t\nGY1xOjQwDxhvMUMl3NaZ8YjLU3Lp1b9j0rlLm/J//v73q/0l0m6sYF11D4koa/g8or7z4y+cpeu2\n7rKNrUlqt/byk9A+j0ZKGYVrWuzVLnZDM64zPk0cuCRcP1W5ktdJzGfQBLuRomNJzM3O9PKiPWV0\nl6FPAbEv6M/8jAKe1BWn+GiKeenTJQfQTJir8YA1LSl/pmrXMKgr5EmuI9mhkBCfZ2AC6zOjrqld\nWlRGUQGLbUVhyO1YQrkgVgAK8Dc+sIXG5ql/m4wXFzCPwrteBP9TpzligAjy5JWh4PMI0EfoQeBn\n24BesqjgQh1xMAtXjRGmPGphLyn0rFwf+DOj+rdtO3WtbGxayUrch4ef5/ELPAvOULOebo0bqmj6\ns6iAt2kDGEVlFPNEfoeuu7jZwHZoRey1T5r++54+Q5UJqphAP6DbE1PCdaHJlLjpToMJsjGeNHR6\nlJQ58ztgXjYm7Hxg86OBtlOXOeRDmjZfvUihLrf2sJkGCO1Gn/02JYGJRcw21g44h5X3H9q0i6tb\n8vt/9pg70ztL3HSdoskCGMGm1Hb1smQZnQU3XaBlpJTRQRtqhTya3rpl1FrP3nXrw/Lwc8ty+4Mn\nRcQq1LvhpltT/vKzL4djnSljM7CBxTYbx5OpXFjdzG66JA/y4UQX8ESv7NXPjKKiwtwzo+uu3wTV\nv9HDxK+TIQSDA620jD664Rnq1t32N+dTTtaAujDt0tqWcRtHmUUkKqNYl20T4i0FGdLt+t3PPmLc\n2fVRikMH5uXf/dHDrWtuVya66bZrcJ63pSM2xruHxWkAfuufc3ttObHPRE4Ysj6hm67epJ6d8d4k\nCHvK6C6A/XDB/IHUWpZ6GZqwzfelYqFEX7BpFYElp+VndGtr02xdWgjEaKG6TIS8m9TmG3WWUTZZ\ngsRJNFLWU8jj+hw7o0WEn5gJaygw2TIhF1a/GijD8FkaQcBzP8qCoiWHW7pxwfKCo8fHBE6HV6U5\ndx+Sx1lGyTkOtvPnLHJRKKgqoxlfrGuIxZPlYTv/Pqqh6i9YmJlVNr2r1Ouuo2C7u8ELE2xHmp0F\ncQqret4cTyneBtrJ8E6njczPKcsoEaDwvFHNZVi3PZ4Z1a6zB/bPyYPPLBX6wfc5jn83Rgk/0Uob\nBisS8ZbRzfHUbyZh5SJUeMw8g9Abx4DGEXBMWHypLCMDlwOSqankYQpzcPRYmsEAISIiX/nBcXl1\neS0rF5E3iAV2NrvGP9hZtgefWWrPeSmYmRm5OeiUUaKNuntCByhm5tL47vf8rHXTxbk/M8pjf0hw\noRKvM26BlfNe5vx9E2T//KyIiCxd3HB5d0EXpfT6s5mER+K6auhu/+LVLuw86K//8X3yf/3+92W1\ni6DM1pYQgnz8G4vyrQdeKdLVhGA2OuI776Zr+1e3gZ0ZDSkwUvtDe5PpuiYQTA7bEoLdSI2BI217\nYHOVrJ2lAEboBYNXuzDewTZy3beHeY80t9ZJyK8SSgo+KqcMzMap+lbRdV4r9LPKJVznoW66RBl1\nm2+4udbAqhIyPRb8N0W5jbEIPI/eNDaa7ubWVK3FM70y1Z4yugsQyO9+u4pHEuC5v4j3z8fCKBAw\nqycmEJlhUHtqih67sB1/zxrLqBW80HqaBcGRzIxsHl1OBNx0XR6vWGI7kKE5RTOl2wemNBoeFmwh\nXCyz1aNCHwhvkT4mTda+Dyqaua7g8xfwMfrYjmZw5O0sD1toUNhO7n4DLKP6jEcP30w0DgG87Lmm\nLCdaTP6uPlBUqRCP+KBeZhFEJYdZRnHxtpZRf2bUKz0c77QJZt5ThRW+eZ8lNz7PjrJlNLb7x48e\nlJXLY7ppQqaMyyOmTZ4vNoCICS2Txl4pMp74c6UiPsmegbR05nVHSB77fZlFyLbL8zuGR0NR0RRf\nxvIvvu4F1qAOLm9O5F9/9F6vXBRp4taY9moXMhcdn7QJzDLqFEKijDJ32j7QCkNULqJFJW5ysStj\nIu6SEsmsbQjMZZ7mA8vo0RuuExGRs50yahTiXTCNDjozSiYwKi+6zCtLqzKeNMmizZS8CKfOtkc8\nzq9sGjxohYqWYUOD2Vizyl5SRresZTSoT4iblkOi6WKE4Egf4wNoGTXRdFG5iWluTYY2BwHF36/J\nzGOD0ddnBGBtwLHhLaOwidb4uqZTsIxO+fhgcyYEZfWc5nbi1S5tnhm6vk+bYPpwPGmcEo5X77hb\nKVR7Nbjvpb5pqY9H4nlCE4KJuq2V/rnZPcvotQH2xYcUq+QN5D2mOcGfKJpeIPCElgQxFBIcI8Jn\ntiB0acn9BSQ6XSYzzUzxSGw7rftRaN10xVo903oXIiNQ1lPXp8F9PqawNtinlFFaPA0m6L+pLouX\nZUU05nuSPE4XFQ9u7BXoY2Vynb7dWDIzM43HDlzaTrc4+Tyl84LMlQeDfBhqoV1MKYqwNZ7KA4tL\nwixyJajd94ZCQNqVJVYwFJZtO2MbQmqLm2usv9zGD9nxhLaiAogRbiNteE4IrZ4RT7aMMoXV46md\nfYp4RaxLf8yBlg9dD7eM2u9g55XvT3TLnZBgSVogEenOjIoHTKsFPylt1rRpOp9/dvggT1IQTX2e\n37s8wIjYuuKPiNhfJUVTn8V96bUV+dRtzzglkinvqISxuegEL1Cg2NUuyF+GnBkdopfpuRiVi/no\npkvOC0a8qLAiMO+MGr21Yw54pvtIp4yeu7TR0ZlpuHqWUeABpNl5/Fl+KiLy9k8+KB/6iyfStx5y\nz2i0ApXOGHLabTu2Jll4j99hqxLBNvJrvVwjD4/54yaoOdoUywU8/pDrS2livx3zREJ+TI/ONKhY\nZho0Hl3K4Y1rIKQhT8Y8yO9EOmXU1GX7L85lPYQmYBkd4tqu1+mRxPuJcx9qz50QQuvRoC2jMP/0\nt9maTKl3hhsHjP8C6a7/VJ+yTW0Ra8EVldefGe3aPvL5EfaU0V0Aphw4pYMI34iDLe7bJGRHWb1Q\nxYUMpxzgoIaJrwe1URBF58llrMLapc3Ya1tmqJuubUPG05YbdQHb212yOs0SPMMV+DatAGxxiPj+\nAfkuYlJ5mMW1zrTRNbAkELLxRjcLKvQ5pZYIt7psoo+8gy7u3fxoICG7qloG7YRy2B1MwnaFEdIF\ntjAXf/PjD8j7v/iYPHn8PBknXMCcTDzTznW1v1H4YVYdb8HVNPtvg8o6axeOZa1o5sBCKBBhG7hC\niEIULkZx131eBTBCV8ZWibV4SpbRkcojos7kaAEgRSKFekRgvIkDVMDY92+j5wb17PkJCnWbxOWq\nxW/TtMLz6duelT/77gsZD6GFnaliFghfL/Jxn7fIS2DyNz15Wl7g8WJWNhs1Cbfd/4qMJ/ZcI7p3\nY5lJQYjHLsE5Tc+Mwnhi7vq4GcMA+9VYRhsIYATXO0TQAYzwvHquJ/8uscbBllHgZ/vmW/qWkzKa\n3+9KACN2lQrhPwi4WY9temBxKckOKX6AcR21+aMiyRS5rQk/Y+vOjI698jJGN10o45WQxikuInm8\nzCgPkdwWb0FE+nBzsAl83juZj60FzLoL5VBZZh5Ebn0TD9gupMe56WIbUmUKJ1pGG98GEe+yntCY\nCNedh8PMTMrXhFZOjcooylF4Xnc8JhHhcb1vrKmFebhgOxFPaYOuPapgy21NbOyIja1pd7XiiB5t\nQNhTRncBevq4VrKCkwsnQ6pyefoKkbHJ3Nj6UDJBN0K+oJwwsw6bDjgSs41G7S50yqPx6DyKUWYX\nqa5ctIwqytk5irYNXDmxiiUqkb69oNaVFTkQ3qB3DH6sz5YPPAN7dtSpPAPaGaEhdQfx/eDwgjaa\nhVRYRExdvv9oQB5YMNkii+DGZOPvSotw4syqiIjc+q3n5P/54F0Ely9TCySRBJkoWMI1Lm0e23a2\nE6/zpefGL6BMaHPuUR3++bl8jRIu3qgscyXXtgGVUXQ7jGdIsQ2Ix1lGQflMbrqRn6hxkvP4c7y2\nTdENS+XBZxBiYpt0UnvXms2E549KAYy8kGBp/ssfvJQyRdrZ2SwneGmcwf5tqw1QuceDCisjuYEO\nyzIezE/CupCn8k23+hrF+kKnve/zj8rx11ZceWdphHpnRl6wQv5CN6WmdXpFPI81lqnC1S4BeNVo\nJL3KaMnKvnxhXX7vC4/KhdVNquAwwCA3kc72/uHGWkav0j2jbl0l9CL/ZHhGEIWY8eEIUZFkbqel\ngE9oIRxD3+m6Y353dhA+6WSK91S2+aNllMle7eZgve6Wt1q8bI4ZV/cm0DuccWNS/xUR57WDCixz\nncW1IAIq0BHPgf1zIsLddLENWBd6uKQxDR0yAZf1No/dIMIrmmL9+VypXw8msOGwNWmcMuis6E7O\nSuSoNCJDqfWSbQKIdDwQCFjftBG3N7t+jvxoz033GgAKKCLkgxfy6zSvqNQ/nqvb/UjqmMtPyxUT\nSGJAzH5Sa2EtLkIBUDVK7tGR7LKC2tHa5ZkF17v2fIztY7MTGFphIuaJ80Gfo7CLDLdQB+iwQDoV\nk/rcTF1/SX8ZtvPo6hawng4QJrV7J9afn5FJc7wauADK6/H9p/CQBWIamKUbLce2PAPsd7b7jPDK\n0qpcWtty6eySeR9N1y7CIt7lDi2RomhMSgbMP+auZRZZojy1Aoety1lGBS9eB0GGCAVux7zxebJl\nNM/X0vlPgwfmQ6Ql3lca60EPCRF1Tsdde9C2FOtFPm7b6NPQEkoto+DKqy+5N/jhmQWjCfirZ854\nvsTzGOW0sGbYsWXxxVy0/wo8wjQD6GLTkQljpeeS1fOuJ047+jCPs+aNel1JkgAAIABJREFUxCk7\nffyC5Sm5mxoeR86M5uf2HfKc0WiU1tvSmVHGW0VE3vP5R+WhZ5flK3cdd2dBRURePr0iv/nx++X0\n+Xw1FvazrnP18tgp4dcCaN+6MeXzxH3saFVsCt9CRGQD3HR13qIyCn3Fxqi2rvlzgMwyCmOm8XhE\nvIyAVlCkDxUVJnu4dToEOjeoy63BzXiQ5y/IlyhfUJlOLq2m+XFwfxtYa2PTuuk+9sJZ5+mDdaHC\nH8d0jUd/5a7j8uKpS6kdM7CJpO8CDsFG0+UbyzltPCFxGujmc37OfNyuGtgG46ZLZNtIO9YfrySK\na+xGd7XLaDSSEXHrRdhTRncFiJAwgP8OyVMrxATLnULfAHV10fqDVzQ70AqiYYqNUiLjTlH6L1o9\nfR49OWOk3KTUzsT6s8KKZ0bRwqrvF6tNztx221+pcSaPOHDlAHFfGfw4oBemNFT+XFX4HRh9QA8K\npZS34ILF6MN6sC3pvV8gTDlqGSWWtIBqG5IMQgFZDIYCE7xK57YifW05GxkTF/j2r312Qj3uLsNg\n1pFotUu8HRfeTbfPOjklima7I23HEgpHsc3R7ZAptUyRx/O0jt6OVhOtsMtfun8RleccdAr5oq0b\nv3bbJtU3YCmNdQdF4xa5p7XFD+UqediQaGga36yp1Ztx27bbhnHaKP9wuAEvAc5qYMzhN4U5zcrc\nctN1OQ/hMSLemtcKyjaNBedCYJGiEULgQYv07zgOSle7tIJi+7toGQ2+b0REXl1eExGRG67fR8+M\n/tFfPinPn7wkX/zuC6pdFhcqU1pZ3o0zo0OArU2xyafPr8u/+N3vmEBBEWZgswqtkhrwHlX9nuFG\nfCH44E+6bhFp7z+Gb4XjHN3+0TLKlL8Q+JlqZ1WE9uOYdYomU6RwTY7KO5TD9R/ddvXfiJfxC92G\nOx5+Vb7wnXasHtg/LyL2rk+R1j37wWeWHX12U8hGA4prOuPtGj729UURkXQeVOeZM8dIsgURNxfa\n+m1/bLFouuBxE7RQLLoPxaS5dUbVX3TTHfm24jGCKKPPjNozo30i1Z4yugvQt7i3L4oPNLW0UGEy\nE7Px3B+rG3fHbd2kogJNNfr0zlq+tiWnobuTtYzmNK2X4PkHHSm3UXg1DeksWciWotGMyqPLBCIQ\nkTSqb5nG+z52gP0OFk3cyY11GSZNLJqOPkJgQM03mD85FyxgJk+w6THJjSWShgxR/xWx1iwRSS6K\nmv/xq138otvnHtIKgPbsTt9YLwGrq3YtQtwRdmdGmVWn68XSeRVULCeNfdaL9+xsVtRQaYzCkD7L\nicKEV97b33qTp6bAiuQFvXTPqAh3cfauZLZNSeHW58s7PpDOhJHzVKbvSJRK51LqeGsrAOoyk6kf\nTPpql/3zs51gIQ76lC3zjmh6XPjwAp0pLzVBEPCIfW7xlOuieMizxUeYDGaObUEhHfgJy3Owc93T\n9GE3o2W05Npmn/2cd1Z+0qYQgjn7ahS7dI6x/Vs6MxrXQ52H1YN06LQD+2bdHJ9MG3nt3LqIiJzs\nlNa2XVahmoLrqVGoe3jxbgGbK+hG+8rSmssTvzS73gP7MkYOZXNoo+Dt4D1M9HOsWwcNgvOgZOxN\np3jtSNPRm8dLCMFtzjDLqK7bBR5qmDccyix+/gQSY6D9W14fQhBLL+NTZP2PbdNw71Ot90OyjG75\nq8gub45dXW4tVZWlzWPH2+0YOXJ4f5dHu+laC2JUxNPZysa7Yk8DBjAquenaMpS3qjLte+RLml/G\nNJtHu93iOet5tZ43ql19sKeM7gIE+nsnTBcnel9ukAi4RlFQWOF3TxnEwEjDAasf41g0aeCCq6Pp\nxox4bYuJkBnaxSNaTyOMwOozGkU8uX7rwhdAWYa2OoZbENZUr3zpey+k0PaSm0gEMRwxnns07mNp\n2iwNWEcBs+DQCe4HUSyBnbF2o4BO2+3Gmgfv5pnTcxq3jLpv1SMAta5l5YVxO0Cv8qgoo84qS6Zw\nEsyjgNTY75DKNmI6dzq1Hzleri2iF0IvmMZ6tMWy1qdaoZ3TEQLhvBEu1CyAEVqPsO+YlTbtNM/Y\nM6Nxoyop6SN1Jixde6Csp1rYiGdGdeXBC1DIJycgIE3J+R9tLd2/b1a2SDAKV7fwsYWur8wCgQqh\nExZBs8T1gPOuwtETw8+8kGMxemEOmpOXNDIdnTBWURCL56xVnlNnL8vaxti5GTLF031TYq1CcMG5\n6PcU2VRBbawi1xjcY/CmyEjyOChbRvXv9iFeVdLW6zecnj95MdFzcmlNRcu1/Es/T4G3liyGuw0l\nRb8/T/s3n+FXbYF+Xo+WUWLpK1pGgW/iuoP1NMBzMEBfzG+/Z/s3fqvxpJGfe8ft8sRL5007TZmo\ndEDdmoejchPLIc8Z4q2k62zp8S7BbGML28m+IX6nfd29t9elM6MTx1zjhmhsQ6QpwmRqlb/kOQN4\n0DPqR48czDIonBnFtSdZRqfeujyd2jV3MvER7N0xHdiMzrwUv5dtg/Y4w/UlwkgFJJqbi2uqPy6j\n29UHe8robgBdlW2SyUKyukW5VA17MZA08wwEYROoQgaIfB6LlymIWsmYweBEMbqYogej6ZrdpBax\nUjTtJI/aVHLTFVF1Z6JDsGdIWZ8Z5oBtJwLTy2dW5fuPvyYI6MKKeFBZtT9aAa9PT0KFmvET+FQp\nkxvKDA/nT7luj9bkDpCrbHnxC5hTisgYdJa+AYqlFtpOn7ssX7vneG+ZoVASCEU6JU0Lb2QhREG6\nge+Q8kF/tAuo7UPtHhrrsYu+P4PJ+tTswCoFcVaXKSiNmb64mJWvdnFRbwNuBIlXhJMy2t63GBfX\nmY5XiGTFYNZYT1WbYr1mvBlSKJ+cTGzAIn3VS7bK5u+wb3623QxhYxS/L1NeeNaO3tKchrUG+U7w\nAqXeEExIieKJa4QZWyQP8qEs/Ni8lNdUlE98zlZPm8e51f3VYm8e5E2sbvY98cwh26Rqgr3uQ2/O\nxKjceLck8yZA6ymrJ9Pe/n31bLYUjqc+QuvF7oz89de1Qv3ShXVXf2isJbTlb/m5dD56t6Gk6Gtg\n6wKe26Q8oYNkGW1aS/Gv//F96d3mlg3mkvHb32iJxHrQSsaORLgrPXq+fVt3yTJq00qK5gyR5zK9\nnnewYER4JpQpnwaPKivS9jkbT1j//k4Z3Tc/K7MzIxPAiMUQ4FbxgmUU6i4d/2gVsm6zVJ0ZHUn2\n8Jrp7hll1m/tfRRdeSewuYtjwx3TKcpZpA1dIpO7NA0i6qqptA7nTeGm2bOMXlOwbpP273bAKiZ+\n190XIIKGYNowxURIGxxtRPiweSzNWsBjltFRZ+rHPNoS4115LR5tGWV1xbLRdQkV1ibh1ZF8keF6\nJdFbNP2E1UAFQ/ZMcDirp3kmzAKEpeB++MpzGyxuJ4AKaW+lEdxN19PL6jaKAFHS2NkK3B3EBZVB\naxnNjH354obcdv8r1TLbgVoAj1AQSKibLggMTBnVwIL/xCwmEFhBaZwvXu1CrhtIyp09L6LLpGig\nszbSp1YiixF39SaUtriG8pnReL9wo8Z6Fj5sEAlUwKKCbfhZg7zU7ypP1NmiudmRcaGL7ZyqHev9\n3TUYzJLSp/B0mYr0lCIzo4jqFHyLNlcTbJngMmAeAV7g80iAec+yEOHM4OtgWAAj3qc/8SOHRERk\n+eK6n1c4jwKxTuHcI3MePQNoQKoQ5EllwWLnR2su1bFMn2U0wLcUEdncynnHk8YIu00T0hg9dHBf\nmyeeYYVzjxNQpoxl9Bopo9SLAEY1i7gbk9iZ0c3xVJ5/9WJ6jkGKmhDkk99YNAHtim668O2m1DKq\n3XSRPxM+P7XeFymAUZ8yGnzdRkEFes3xKbV++A1PqKvpr6vFrfgvubsa8dzx0El59+cecW3Dbx+V\n0ZmRyHX7ZtM9owf2z8k/+XsLroyzCoo/+z8mxzhiPvvcWQeJm+5IJF150oQcTbe1jLbl9TnTSM91\n+9r24JrhPZi4HIjrAbdkx7xEDhQbTXcu3XvceTrpM6PSnhll9y4j7Cmjuw1UXghemxHPHPtxkxKs\nvm2idXgJQ+HuVJDm0OaU7Aab86XzoPFZXcWQy1lc5gJnJXTqTSC85DkKpYyeKAwlxVOUUqvchq1F\ns6TgVzo+sD70ipNbMANaruhQIpsLmICMiVsnNTwFd2lGdozMGquivWDagMyPtCHYZ2oZbbwgxjZf\ntntm9FoCcxGONEXAoEZ5Y8MLV7h7i0JntmBmLwR0zWIBjBAPuvDlMiXLqMebFi/tpgvfKimsc4pe\nPWeUYjyrlD0RkRkZycxMVpyipVTnSRZi8eMWg1bgtS1+9Ns8c7Mz5lxz2jFW3yUKSkxI71O2sPYo\nOETI56zKeVg9yGNiRW5Tp4cP4Qjl/KKAE3Bj1fFuaQ3MIpPfxTSLJyqR//Bv/1SyTGA72fGTPqss\ni6rtA37473nPU2fk413QExF00w0Oz3jSuPNlrWW0e1/YCGMuzOOpOqtKLKNRwTp8YD7VjfRgwKJp\nYzf6rpUyyq3O9rnm9h7boL/9x76+KL/5sQcUPsvfNNDNpeA38fqDCNU3AmN+bhktr3vIn0uWUeT7\n8Vl7wHjXUL++M0t8TYm94+FX5b1feJTQbNvx8ulV1zace/He25nRKCujoVWSUuBKGMMilk85y+iE\nnxmNff73/+ZPJFxBxNwzGvPkq1zato0kn8VMLrDqKrJI4/59fM1gUZWtLERkCzJE8Bsy/jujLKNx\nzY/tmlXHZULIUYL7YE8Z3QVgysEgPbOSJ5D37aCAQbJdhTYVtng8WX5B1inM11znGUXXWckTTyL9\nUbFEayWc4xSJbrq5IrzaRbSiCXhiM0eGHkl1R3raCZMbP8QyagUUP8kRghQ+NzAGJu95JdKWYZVT\ngQ+ZEGFKGs0f/vkT8vBzyy5PYcB0efwChkUa107fM26XL1oMVeKly2M5dfYylPOLXO/5z1B3pb2a\n8I37Tsg37z+RnrMC4YWU1JcFy6izDE2ZZS8uGMpNV5XRAlNUANlZPCvMisKrrKlgwYxl4s5pXNBn\nZ2Zk1JUpWUbnlWKMAhxTnkWkFQCS10S78zyC3WkdnRuHoXaxjWXcrrItImN1lcvc7IzBkRZt9R2i\nMoruZpFfaaDu5oaPA49Ok1pn5xuN9hgC3y23z6gIB/M3kmZ5gfTmyQprMGnY8tmZGb/+DLCMxr//\nw9/9aVOmFQy5pQAtmEFIgBFixUFAPGhFEcn3GEegllGFe5NEYtZu82XLqOULmHcyaZzrYrQEHgJl\n1FtC0VKqldFrw2eZIob9tEX6JvYF8z555sSFYn2Im1lGcS3Cc/Ts7Cn1QiHfm62VfbEKcBPS1U3o\nTXxex+WAOY5zI4TgghEx917sw5MQYIrNTQYlN93oKouedyJivQCI0jZpMDBdyU3XrlfR5VUrZLGu\nuDkaPXBinkb1l/YainSlDUy0jDaWT2K8Aia+sfHUaEEZ6o4Q6RTxd3fjmdEZte7WYK43xx4MAML4\n4CGU3sU0FNC9bNRbbS4/ZLGv183o08BcH7WCE8+DxmdjiezytwM6l9cucyltNDLMdjSTFUQJ2k1X\nnMuttoiMJJ49Dbau7p9TcnVdIOb5Po1/K18MJjhP8oKisHFBKneCIfmeBLX7jXmMcAR1lSx0rBJn\nWdZKUlwInZBqFzBFgoj8/+y9ebBt11kf+K299znnzveNGm1JlmQ/gW1Zni0PsgWYYBs6ZWxsE4aC\nECgCHaAwgSakuyjoVKATqASK0BQhSVNNQ7qbDh1CE8IQwDY2jrCxLRs/S56EJVt6euN9dzzn7NV/\nrPWt9U1r733vu3oyrvdVSe/ufda01157re/3jYE5kAyCBYb7fEZb7zvTrzzV9Dvvzf6pFuiWz956\nDz//myEfICVpPigPUPo7N3ulDAfx/Sjm5NTaD6UZFc/gW+qLGg6vKQGEaE6rAxiJdsXhycCzCJ2f\nzHRbSFJwGV6f+87y55Sa5anQlFKBXACebRx/uDlqqpAIXB7aZD6zZpQ/d6ii512S3MfZb4mh9oTp\n0fsU3bcBLGFRvk8rKfcBY2zK9F6W8QJ4Gu1Zc1FXDmaC37cAc/o7MlTW+gfAIHdO7R8AWhgj9yba\nTqpjgdHWXtuU1pZGogz5ztAsVoBRqy8UbqAARUcEJmOPFzMKRueteu6dmNR+ZSmD0dZzn1Dv+XM9\n9NcX4aFHs2nr1fIZtYC+fK8WUM+mx3Ef7hNkRpJrz8oz6r0+4yyrmBnbj0WEVHGNY6XtDjPT5c+W\n/FVbPj4pFE0gjvBhXLChg7HJc8kCQKGv4nBjGYM/Mqhsphvy7yJoo76M0tIH+0ttCkHkFFOrGO8C\ngAO0YKar/VOTmS5qECutPU0CYXLGopmuXGM6yBHf2C0+1XoGCT7l+QDAzXRH4lxjqdr8Nc3oVSV+\nRg/bvGS9cN33NRq36KFt6jTtdjtxkwGKtDO07od+CFUEmniHAsQEUIXWszKkbYlBiGWSRK7N0iTU\nsNJ244OE+y6bddF2w3OEL40e1rqMwegZjFjX2/OgD6wwHt6ONnERZUC+c/kHAuw+Bk+8Y6uQaDdr\nNvhvXpSxfMBYk3Jz87qwZvbs+1bbck4twYmsY/lvPR2k5hjy82SfIq+AaK5LD1D+kbZtZjpqlraF\n9AWGZlRqfSQjQ5gLbtpLGRnti4rMYF27GFnbMyAJQHKR0pxsBEh6n8ECfSYASAGL8Lt3QMx057kN\nWodSYAg8u6bFqFYKtb1TYqabc8YBe+55myMzjguaUWtMXXlGw998zrd2Z/B7738ENndmPPey3NvV\nPa2BoJYn1thK41FtqLr6XNHt6P4qg3Pp0k7OWw//4v/6UBqDZEIxyJ2MLi3bASjPIRuL6TMqygww\n5WUBjAyAtDttzf2NaTmNsViWF1RTOJ236hm2IhhNZrrzFnaj/x1tl4751//wIXjwU+eKz/dUkSVc\nlO91KqUZkIMSWWa6XSRfpWWmK4Gl5e4AwNeOqZ001pEUvHjvzfeOJN1/8G8VwEh8Q9KyRvuM5jmj\nEdtpO1s7M9jeNfwd+4TG7bD3IcsgP5hSp/hsKUPTCdJ+8FmQZnP+zXtAE9xwczUKaKRQFs10aTTd\nBEbj+ZTH45L581RYBM1bn2IllFw7ZOAjKYwumenKGZX724/98vtUXwjqw7NyMMrGLOa5i66B0UMg\n6/voBBAWU5H+R+r09duvO+3UhpXaKi1QdS0KUdCIUSyRrLVYRW1IYh4Tw5SbDiASUiGZ2iWUwXZi\nmYxFAbWn6J9qmeC2XgRGMtrpMs+zzGAl2WtEA8tSufy31tKqrmW7nvzA2qVr1Bsl5Brz7F/zcU2G\nWWsrvfhdtieXVylojyR5OMoD1R7yMPOfq0GmZlRIaotAoOXzHPwXBWMTL4vMRJuZyZEwv7HaSdct\nb1cxO62WnNLgREkzKgCrFRSBAl/KrMkARgCoGUXBlTbLKgXiSPNH51MkGt8hjPiI+s3Em8kcuc2g\nO8xn/kAXCv4/qRyhIb7PdLzv/6sn4N//0cNw9tKO0GToei1bJ8Y+0LNXZRAp9xijjGyXXluSKUM4\najE3OD//3atuAwA9fw9+6lz2LzbiCqBARGmeWv1Mfaa8JtBU0XT1+5QghmrJZoZmdHN7aq4LBiwN\n0NVrpjvXFiVbO1ozKrUzMmDR00XWHimfxzLT3U0a5WHnTe6vv6D3UogHQqvs4zi56S4Fd+Y+1SH4\n6xqv5TMqx8fObXK+0PgeGgiHv+uCNcv5jV34vn/5LjYe67nUmA0hmUUlc3jc/1EowDSjRjRd+vAy\nXkC65wEWJzW86RW3hnto/VNlgOY91w5O6XioZtS5pGyRQlhqer8wDgat8sxQWnQjR3f4V7x38WAt\nNwCCJy/uwKc+f4mXIWc1pnaZCcsnFIqEeYZeugZGD4H6zJWuoGF+2de+eY6r0z7e7l6QGmjyW5aj\nOgNyFWdqmD8ouUeBCdNWJibBsb7zJgjxdxIpV5ShtvgOJVCxjDT3rQwm2rqHc8N9rCCVK1EJ8LA5\nNJgcyfhoJtCzf8lw+IBVPQ1grcocROp7EmhaM+Ct+0Yd+gxnLm7Dn33k87nv1sPvvPcz8LkndaJy\nShIoea+ZEGsoV0ti30cZeJJ7xrybdb0Eo15/s4SxSXUkg0TAHrbD6rSc2aEh5cuBkfJhKoFmAKOc\niWqE9nTE2oVUj77fRgYwiswGbidUOt2SMvjcOFkywFKaTyFp3tmda+BJ0umMxPxRCTK2g1Luko8Z\npa6AK/gMpSVChQRqjxHaSXMfAnms9AuUcP9VYyVt//EHH+Xz7Nk/5Ln4eKTZKUCenxc95yTzabr3\nuTfAZFTD2vI4M8qWZhSy1oS1a5ipy3mWgNBM7dKh9USS64CZ6aLmjICVs5d2epl4y2RUCpMAtM9o\nMmGO91Azij6js1kbcjaydnXKiS8WktO01+G/inM91Ex3CN/3V589D7/0Hz+ari3/d7mHUxDSNJXy\nIQXA/cTej0tErWTC+OPaEkIKKajEK54Si/TtqdsENdfsOYPbAedbq321LSpF1abuIOBROIlltFDA\ne7qv630ha0s1qGWaUR/NdPGeAY7RtzKb6Wpgl3xGBwYwkue/xeJRTXa+p59VmtkyoXDFz0vuMxrm\n+JqZ7lWi3n3IKKCASeFw72vWAiGyZl9LmtHQh78yFy08E95G89oMKnNv2VSKA0+ZQ9SBBpqpDKDp\nHRB/0Nw3PhgyoYCRe1OZNBrwQKPpZuLt8Hm2AFjvPOtXLtoxDap5PW/PvWy4z4zYixv5GQQTauxm\n8tk1oJbD4TdLTCqt98u//TH40CfPsjq/+SefgsfP8YBFkrwws7M0HaqO7z+8rxbhBi9NswD69wQp\nIJoLESdlCng+0FzGe680mHh4Yh3LdEy3q8P5JzOehgPNunJpv0iJs4WJcEM0oxR80ndXk4MbIAuq\nkMFzkCW02kw3z9yo0aARAHOIZtrZm6XrpgkMAgUPOJ6ZSGFDU7tgpMe9CBjedv+d8NxnHWPPkeaw\nV6hS3hykJQirJ/c3r/chCWKRoct9mwOyhSqkyIc+eRb++IOPqXbYHmM8lmVpk997zCsdr5cWGji+\nviCEMWKtQHYtkfOD6/iH3nEP3Hxi2fwOh5np9vuMSnNt2g5+L3QdnLu007sutguRXZGSZpSs3em8\nzcFY4hrdTma6IbXL5Z0pnL20w9oNlhVfHHtpH1kaYyR89qEWM0PMR39ORocFKyer/uZTMJsqa/Xk\nWNl31g4Af2p/1uegF89FeUCeEou0S7+xdF70712SJ7DHPOx9lPy3UUOXzwOe+5mOBf+lglM5p+F7\n5P6gScBa87OTWuXw8aC2O2pG05mBZ2UGufhcMoAR45vpeSX8XIE8F9Ke8Q1YwaQUGKVCB3JehjFL\nM10H1QDV6DUwehgkmLnwrygyZFOTdeTPAzfGzjYKhXjbhk+MZIy8UYZco0aTXgPweZGpXWgZT+4x\nEMnSv3gAoH5hPrUb2qGbTmgYP0RptmbmGTVMgrGQCfY6Xg99pnTPeOEWYGXmNKKe1bc3rvkf8Rl6\n2pGVsvZD3GMMp60xp3fatjC+QyD5roYchN5/EWlG0/5hHY52HTwofurXPsCk/VRiniWwWIf4YAqm\npBQQqCEMfCnqYlNpBgQjw2YznmiuNOMBjDypI/1Kmc9oYnakmS7XeqZohW2/ma4nc07Na+langof\nUpo8nWpBcTpHwv+HhunXfeV2kwxMfIxmACPBa5RWMT7nX332PHzgE2d4uwJ8yv0jtc3ulQArb0f+\nbv1wjgCaovWIuG0lUaf+xpWT15yR1wGMcuyBkkYaNfh2cCK7TncZQzMaGcy3vPZ2ABCpXQwz3bMX\nd3qFbVR7+cnHLsIP/+KfwWe/sJHumZrReatM5rd2ZuAggHsAgN993yPws/8+5HmkjPYXy17aR5aZ\nLpKVZ7SLhpZjdVoNgrpcIpqmYlpP3CdSLsuk5evXIIb9md/zoMej/FXl96NArf7GhgqE+6awS8N6\n2w2r6W+d8zcDwpSTHqLFnBHAiLoEjahAVnSNprvO0YBF/CzKAaeMPKNpXwrPT0GtOjPIu5CuHY3h\nwhL68ep8CH/kez/6S++Dz3w+7wXYjrX/yzIllxoq6AsgOyt/uugaGD0Ekge5/r2bOS/VM/sawMUP\n9V8oNWM+g7EYkXCdeQJiU9oWLJMYrNxWspePZaQfTwo8RACOjpRLfEZlX+n/xDwDgLWTACthAH0q\nQ58/V9bMmgYQkrz1u9dAU070fhk+bIKtSQtEqsr22Furrz4G2NrIyD1p/piB8JUzMZZGrl+jNNwc\n66kmK3hC3/wgY765w03mqJ9L1vpkxhoAos+PZ4zDvPXJxBVAH7CtF0wLNdlJQYTyOm1qbl7WENOn\nMJYqBXKQmlDlM0rerzLTrfLBDZAPQVx/lo8QNduVIBL9P3MetayBGI8CY5jMiNFvhmhPG5HCxjLT\nlXNcGRJ0JNNMl/7t1faRiPpYvvejX+BteLG/CQGFXQb0dw5aUNXKOqIMQJ5fVkbUk3W6fEZzMKJ8\nZlQVD/BBtfyhDPEvVkKA1mzX6hvpoD6jCEbRL4yWQc1k2/qkHTl7aZf1fWRlrNskwWJ++tc+AE9e\n3IE//uCjauyl1C4YZGtrdwbjUZ36poQAtQvgfbFRVzov1OoMPRYOcnRRKxRsw/ITp2av9JuiQrPW\nC4Fdr5ZRCw2s8dAitN2KCB3ps1tpvqygS5KGaXPL83zL9SvwhpffAgCW/zbZBxL4E3stqbOVzlHP\nXFUSWxq3nlkEqCx/tXTJiEoTboIb9ykQmloqLJVglGhmExiNewUPGJSfW8aMwL/l/vbAJ55g1x60\ncEXuVdwiyeYT5nGtUl6ii66ldjkMMqW53ddmM1JTNaBS7yYomAiswKoZjIckuTjpJSbADffih1Y5\nBnjMtC1VwR8UmUfIKVlkO2kTJIAVy9AImR5yWge6kTNfMfBmqHKx0ZE6AAAgAElEQVTncl8SHJhM\nVse7sCR/dH5SGVWRtyvXheUzWhyM53964yfNhHr1tzVG2q31NdB70rehZE3QRahtk/SHf/E52Nia\nput3f/jzvekErIP56SLrfQ7RjE6N+/QATfnLFDMe/qtrl6Tu8zZ8D/JgrAnQ5JrRzNDSby8DVMeA\nZtJ6EvNf1IzORBmZZ9STyIz9mtHwDVO/Kwn0Grovxd+SyW0ElqOmgtl8DrNZC3VkBBbHDexN9xJA\nSOMlan+ZwkYe2gA8OjgOGo9t+b5tgQlnNooCHVf+ZiTT7cEqJ91ICvvAoL2KV8N5AlJc9SXqWLxN\nEkLE/2EVZPKoCWGXyZzsi6cKyteLkya9f+0PqidalrFSb+wmMBrXIAG1KGyatx6WFxuoK8d8Rr/3\nzc+Dhx+9CL/3/r9mbaJmdHc6T0zl6nIGre//qyegch9lps/TuQY9WzszWFpokpCF0tJCA5e3p09b\nvuaDkGWiSMnynSuWPcD5IQMNUTNdBwgKQjnUmu3NuE/63rRNmtGmdjCdDfQZLQicZFAjbs4N7Dyx\nytDUM8yto2ceJag1yxiCIiQKeMpmutk1zEfmMbltkDqXt6ewuzePAD+mkWrzvI+bGnan85TaiM5H\nClZHhIxt6CqB85xnFDWjbdLU4pzNZkIIS+ZV+ozmc4Wb5UptbuJTxdxZMFELzqTGnp7vIjYCGXM4\nVq+ldrlqZGkxKPWBELw0y4l2JIDQZcQGI38v/FXCMnhAafNHLSliQJNoMAECsJTjyX6luk42q4tM\nVqxDNTrYdwpyhH0J81rnwAC1/NmppN2nMhpAyzIAYVM4v7HbKTswf7Pep2RAjY1caVNF+xLUmpuQ\n3PwLGxWr4vVcUK11eoaeeucu7cB//vNHdPsdfUuiDCylB06fgUube+ze+//qCbMsHV/psLR8055K\nMgMYpXv2GEsbfdDO5MOSRtvlSct9Oih9rFfXDhxGtxZA0wpsIQ8mrsGsuFmP0BgGn1FkxoSmUQSE\nYGZrNQJYDpazHyAGMArXVoAILtzKTB6Ajg5I/YYWJ0GOi5os+kw4MzIQEk/t4nn/acxECDZEMyrO\nntI3JF0iVBs97Uhm0dSeGmCYXpX4YwpuLFNeanGDZAUwomcC/SQc5GTyiVE2GFfUostnkOlf8PrZ\nz1iHb3jdHaod69oi630ig4naR5r7c3MniJxQ23B8fSGY6RLNj7Uv4hr9f/7kU7mtbS6+et/HHmdA\ncko0ozQ418KohrEBRpdRM3qV8ogeBvUBZ5m3sYu6cnqWyHuuQWcCO+J31/ooHERLsliF++Zp88i+\nvrX2q2Vr0nu+jqVVitWXN8p0na+s7Z5BWyb0SBikEtuilKxgmNuG9OPk7+/spR1Af8e6dtz9ouFC\nRkfOlQziXEztFbWnxEyXjYcIwJzrMNMlAoYU9M7QjFINuQpg5Pm/dO4k9QnOmBVTzedwVFMw6tn8\ndNE1MHrIlF5/H7I8lM4kohgGagEkY6HBDN7hGsRMrVGGMixV2hj4NWViKufieDMTkfrP37RolzPR\nDrKvD1aRgYccuJgiRpcxzXS9N9uh80Ovn7y4A+/8hfd0H8QGk6OYN6NM6I/+3f9yBW9JtJ68b0s0\n0dW8bBfLqxWoACuv88GHnhTBiQoFO2iIpG0odWlGS6D3qSIPth8OQHl6SnMxm3MpNT3QkjltvMd8\ngFoPNTU9EnWoX9io4UCTBjDy5LCiJmBKY5h8RnU0XTOqYNJq2n46UjOaLBuiX2DpmSSzkYNIEMlv\nLINgNGlGUwCjXKah5r5Ag1rkF6mjuhIBoAQ41t5A/+5Ao11CFbmfWUAz9KX3C96OBJ/DLCDYN+bZ\nP6RdXsliblCrXjkHjsj7nQsCSmqRkbQ2kceq0ATXa387FuSIgdzMyEk/tSE7mRVNF8Fo1ozmlvam\nLUxnc5jPw/d68sgi7E7n8K4Ph6jjrrLB6PbuDM5v7MLvP/DX6Zu+vD1T5aZEG0OBCQWfk3GdvgdK\nS/F7+JukGe07buj+2UdWxOI+atucBgeFJYmhpxqxNgMVqpGSgWJqsv+VgB3le2SZ7/nZP2UBAruE\nN8ySjOxdzPqm4s/QRcN9Ru3fUOGAVFcOfvLvvRwAtJmuj2OiYFT64QYwGr7vpqpgTkxemeDRA/P1\nnBOtZ127oLUGDsgosFOpXUQZ7nsa+pd5RmXas6rK2lwp1MO5pmRamYgXpky6yRorRo2Pz1URXqKL\nroHRQ6CD+Lopg0x5WWAIhrXN2xmiqqc7AQUdMsKtUZykSaE+olKDSTavWIYmYud9QZJcOYf2VsYm\nCBDNz2QO0fzsuQyXejvWDo+mm8entTGpjPFqukw9LS8OKUuw2qVjNq/TBsM609xc+iH/2QlyZVUs\nY4yvT6tiaTasTvbDxhzsy7Dp//iDh+BXf++0+dthgt6hJM2RUBJe1IwWADM100kS2FSHC5CoxcG8\n9cl0FsAI2e45qJ0TRiIHRgLCyFSmWQ8NYIQm+xIspwBGls+oMGmiwR4AeFAa8Jwh0JH/SFChmj83\nNRnG+VucBIYAwSj1ccUyOgiTZiyyZjT7JaYxivdtgRf17RXWSNcq3o4mabQd+zwqX+f++di8bFcO\nGvI80V8sE0JKljQ/mzpz8I0+XXR9Kcsdx9MsWO2iZpS2WxIcDKGSz2jlHA+cAhmcbu7Mkhn9173y\nNlicNPBYTHcVNKN6Xnb25rAVtaovOnUytqMN+1E4tDhpIhjl6x+gA4wu5NyjXyo0ldFIO+ggGmHv\nebRwGtBI+sijsIQKFFEAFvwJeSqVojkrsQQZ5qPJ9+MEnh3ljXIZCjz3ZabblvcuNp7Cd0b3zXCd\nhSgUIFJLFFoHhT4n1hcAIAQG8xD2zaapmGYUfahR88jamef9pCbua1TrmctETW2cZ8uvdGQIYWUA\nI+abG9dKU1cwmxV89tUUGprRIWa6UqBrpnbx7Nm76BoYPWzy7B95O17YzHnfvieZeoNnGM6ls3YE\nUCJMBAVktBIFpxn85SZ4PR7AKJUhGlVaJzM6ROuZGFvSrkfptDQbzsASfGYiGBBOZWI7zGeUPxeO\nif69X0HBdNaqhOZyPqTJK+QRkiubwdOmsvya/iv/Zu1YHCb5U45PjthmZLsPGgsr95FsT252+wWR\n1rs5SDuHQdon08d/7fIlqeOszW+nFmCP59D1DJxmn9HQzlxo9jxlmmrHpKQN1Yz6fI+b4AqtZ1Wl\nb1iZ8gpASA9BebhT7SmABBiQ0neEuZEmuHkdN8IMi5llxUKLY6EZZUGOPGtHandnbd6IKHOIJAV5\nSHYAo3zv0TOX4ROfu6jK0DYt+h//9Z/Dp0lScw+aUfVi47E/Z7k32GPt4oUs7Snu9Xw8egD5rJGg\nkWugUVMqx+AqHggPydJa47XUrOyHrHycu3tzGI8qIggK7a4uBbC3uTOLlgwV3HrDKjzz5HKqWwvN\nKGpQ/tN7PwN/+qHPs3YubxtgdNaCcwALozqmdonfIglYtDCqGThFSma60Q/zaluUPBV08fJuL4hC\nOkjgptbnPXHchOBEKWgUAk1k6Ctqas73SCxD02GV1iNLvTVAW0n9/kPbIgo54Zcy+Ip1qJluz/dh\n+WpbZbrOQL7F6aBCVHg0RzAqypxYXwQAaqYbnp3u62NyHvh4sGQhZwS+4KCuKmJxQ8104xyS86n1\nXDMqhbDMTDcFMOIuLRn4BqGU3F/y3son0ToatJkuv6bWUMpnlEYA9lpQUKK/+TvGFwFJgMj/6AeZ\nobj2vRvUt9GO7LC3LQEgaPmSmS4FiNT0AyvLVC4ZIJJ6wv9TAl9qZidBZALDBGimMbON0ifzKj5m\nyGXEM0gzXa+ndPAhhfTI45fhh/7Vn7F7FvhU8wxi8xBA2ARyknkzygwoAgDSH9rWhjAmtaQBhjJl\nJnX4nMqD9ErBaImeDqZKpb4pHCJIRZ9RqhkVJrdUqBN8RimT4qGpLDNdQxoe0w3Ig4lKclErqwIY\noc9ojYHKSC7SwgHHGSRsR5srAUghlM18WKH7U98iiMRspn1GMYcjmiJRCXrJ1HhOGBvLTDe7OAgG\nwHr95N4/+42/VGlbkCyGg976AjHPs0105V5gCKY8r/vvfvfj8JcPP6nGr/ZS0rC5xI2+uiLaooAS\nCTXkAGE9Vc4pxqdy2W+51C5qp2gdytzul6wgR633MB7VSsC0thQCDm1uT2FOvldqFVE5vl+lCLfT\nFn7/gRDUaNLUMBnXpgZzb9bCuAmaz9lMp3YBCIywHcBolPoCAJiMDmffvPqiwEznLu0mq5Sngqhb\ngnR3wD3HR00jRoSm/vncr5RrpEr8CWo0P/jQk/CRT501yyD9f+/7LHzikQuhXlwDD0dhlxXAqI7+\n+dlyhWh3+8Bo66HtOf9bXz4DqWAIgMcHkCmecEwOIMVFQIB48gjRjPpobcBAZQajsxn6g+o0aICa\n0XmI28C0nqRM9hnFIFWFM6PNQFwG96NnLmpYm5prcwHyUSGX9BAwKq1yOA9gC3iZz+g1M92rQxIs\nFArlPwe3q68ZYC11Jdtg4EUz/l7VIYCMmumSQpYkvyXjkwxV4pdZGf4BS/DnIPxHQS6PuJuBJu+L\nbJSAH1tM7UKk53Q+Ejgl05VzEGoAuE8sWqYOgGj1Jd8VXklgya91GRDPRFSsov/udavGbB4Y3ZNl\nAuoOcgbTWAvzNHl9UDqsdvZD+/YZFWPEq43tKeykiHvclEaa01bkGjWjktGmZmAUfFqBLTy263Lg\njVLalsRo+Sx5V1rFhjBaAlBbwR5wHiqXpe7MTFcAbCrRlwEq5OEPALAgzHSdc9A0LtWhbScpN+kb\nX6UKYEQAj07tojnjoduQM9j6krT6zIVt5QNn+7v3j4UGKisxkvQ5Z9Fcmpbdm81VXxb44xpMohkF\nIPkEW6U5xTpBmGCkZKHMrKgj25HBfZC5tagEYMdNlZhkpFUEoztTaNsc/Z2azFYVN9NFP05Kde3M\n+wBhLY+aKjGyObVL7mPBAMoAGfjiWh8b6V8OQkM0Kk8VndvYKYK6g5CcNimg80D3O671RDBDzWBH\nQrhVk32jhP3oWfHfPt4d2G9jawqffCxYTOC6+o/v+QwA0POCBpSrWHwP6uKFLgdvu/9OPh4mFO0c\nTkpDRgnnVGpGuRaUnjNZGElBEo7v6Gr4Xi9c3k1AqkbNaGybWu0kIacAmg5ynAbvIYFTrIdjRAFD\nOJ+ouW856F1RyOlzO03tmJ9rmEDxL5mrPlKaUU+toXgsBG6myzW+XXQNjB4CSSAQ/qVM/IANTaOM\n/s6Ma+uDNptlOKSgbQNtbotEr6mPJrarJP4URBbaljlE0R80DNerOgg0ZfRJE1g62gplAoGND7xX\nfSFjjfSXDz8J5y/vwpWSCTQtrUQHEM5Arr9M6R0DhCi0D3z8iW4NprfWl/Ql0/Vas56uUzpA5TYW\n/Cy8utd1fVBCAHY16Tf+8CEGanLuUXuC5EaPjMwfPPA5+IvTZ1gZPCxrYU5bOfSrjj6jVTYVTACW\nHjJEgu+91jR6yMEU0C+GmvYCCM2ocwLk2ocyPQTTwT3j7VLXAFe5tG4DOOXPZPmDqmi/KeBSXuvS\nTBcc5EAXimngIJxK2etKA2iXtyJGlnZhKK9sfQ4lBuGRxy/DT/3aB1Q/XftHuNfNUOI6LvlkAgA8\n+Klz8PO/+RH2+w//4nvhgthv+zWY+b5zWSMUNKN6PjDIndWujKab280aV6Sf+e9fBWvRFBYA4FXP\nv1Ex4H1kaUbRvPbhRy/CdNamd0c1oYEJ1ZpRSnXlkkmtpM3taQCjjWORoyngHY9tkIkAF810rYi7\nB6GnA4zi3J69eLhgVL7T1us8yniN85d8RqscCdY204VsyttlpnvA+ZQWQix9ns97NvWHz2dM/q5e\ncOdxeO5tR1W7D33uYnHMViR1JHw9VNAYbmhlhxP3aGAdCqS4hYsjWkac9/ANTGPeaUeAJjUJ5j6j\nTgmEk5mu176V+czQQlgpdGXWSAlAVykPap4rz/7dD9F0NKEv3T9NAefIeCr5bgp0DYweAjEwWnjP\nXlz0gUZLS2bVMIGuN/8sj0dQnz9ouM4fpwk0peaRjDibDsb+sEyV2w7mD075g1oh+Z1qR/RNzfVS\n3yUgrMuE69zfpx67BP/1Azlp+EHpN/7oIRZIwgoQpIMnCXNuBJqq9R7G0bj/r37rQXWTRnO0fGVb\nMTeWxgTvlyj/VjhApebPYqwLh+WV0tOhGX3Xhz8Pf/bgF9J1V0AKgAxokKwgJlIqy0Lzk4MZ/Zjq\nyhlaRFszCpCZ0ARGI5OCEmomSW04SMvRdGkAj3jgq3xrROPqOKhthJluMr2MAiYWHEiMZW6Y104J\n04AmV7hWczTd8NwutjUlvqfanCoDYekKkJheZ2sx6ZgPQpb0ez+MvgKaxhkmAauk2bw1A71IJvQv\nH35Stf3Zxzd4HaMfOj/cZI9rHFxV1ox2zbETIBaFHawM8LnWvmz9NG4qA4wGzejvvi9omvF56Lcu\nfUYXTc1oVdSMbu7MYFRXMKqDWSIKY9B/ESCY+VqU94G/+ZpRDGLzu3/+CPzBA5/rLGvttSWS68C3\nXgnx9H6X9+e6ypFgaRmqPcUgR/tx6RiyPiUY5RZzuI9X7NqypAnnSm4L5+8P/+Jz8OFPZpN+Nuaa\nnykWOccjaFOBE02lwqx9CEiakwByWROKJq9x749dj8n5lYSc0mfUAfEZ9UwQmrWMLsVy8JABbCiT\ntbnOBT4sWQQJQW0+V3w6GxOAJnOEf8stzgyMJwj3gh982z1w583rQONaSBNlBJ/zJOi+Fk336pGp\nzaIXZqWOKwRtXRCj3LZcgraWrDDW1Hf4mwUMIkQtxqRZLIDWVlrRdBOIxfD6VWY4fUCjGkQm01kq\nFZMfg5DauWzaqcxyxTWdD1rmEAWkiR55/DK872OPk44NJkuiRi8vPRsz3uPN6DLhFfevL+rXVBKQ\nyLUky1gBSKz6pTmWYMvyJJKH7GExMbrvwyFrdHTD3tjMQoo+Eyb5rJafq4wi2xCzXJTc4rfWeh8B\nYqirASwo6bzNRGXQ6FtvRqcN7VbJp9syn6XPhD5JVZWfaTrn+dbonkMDGNFnkP5wNNjTSIBlcC4C\nzcyQoNYpm+kGzSw92GUgpJByhIMmM/cceZ3XHV2E/+W7743PDozCehm2MVm8wH6tBygj2BYEoX2j\nubS1p/cYS+MrrpVWqUMzagJN8t5RI8HLuJT+pURSM4raKl0GWJkhZnCUxqNava9Vom0FyOuGfuvS\nTNcKNNTULvl3WoRmugA6dQQAmP6ioe/wbzbTPZx9szmkfXw/dHR1MrjspAN0y7VhmTqWhG8oAGCa\nUWnCSQRprc9g5tOfv5QsYtSYjPkccsbJ9yDdMQACSCoFm0z7W8VNNul6unCZ5wdHolYxpXOQngcA\nkHJMA3DrPFUGFRnUvLZCDW/WaIY0P/FdjeiZ5wFIXxlmUgFmvgagQFMKrojrCYk0n7Td3ot2bKGE\nc+F90aBLAPT84JNoRfWWlM9CSL71pWCDKDixzI+7yBaRCTp16tTLAeCnTp8+ff+pU6fuAIB/B8EP\n9sHTp09/byzznQDwXQAwBYB/cvr06d8Z0vaXAjEev/C1WACis6GeNqzr0r2+ziTeoemJqASMbq4U\neFINZwaNeC/8m0zPyCC1djK3HbEoYdpDGakZpYd/AqdEM4qSK+cce04ZxZL6kCozXTBA4lNAJtAD\n7nAu31WpklWE37MBonxMylyXNLd9jci0QLq4AZYJyY3M2td0AKPDYYaGaEad2893F6hpKhVEZNRU\niQFkPqOGrwwbo3h2K/WCBGEsqqJHBj0eMnPPGO1cJwNCCeYy41rHMsBAY+tzTj3UmjBpuRMRd1Va\nFG6mS6Xc0xkHrBRQ0OBmTDJumMdhOQmwXRwPzSGK4fV39jBfY2BadqfZvxEZOJQqo9QdIzkC2G4Q\nyhS0cJBX1fB1d+WaUXnOgdoL6JlQokubU72HmACQ35Nj7fMZZRZ7RDI/m7fJ4oaSrGNRJds1dNhO\nMZjalLePxiOtGcUARqldC4w6rhlVEYMh7IuW+S5SHxiVe8vyQgP3v+jmNF7UfI8LGtT90tOhGS0B\nbosm4xo2d3TOVoDwHrvyj3qfNXJyz+FRVIEJUJRQL/pZU6HLb73702af1rkYosV2P2fJ8oha7YQU\nXlqDh2cBlqFLm4LchXFtzhdLEVMQFslv2pH5yj6jcm8lrh6En2zqSgE72rd07aAgkgwogVps1+qL\np6PJ19M5OTOqKvu4MoslfTaiNVJKR0OGhO9JTqHlJy8JzXQrCGPwQATbRCgC8XcU7CWz4QHfce9X\nd+rUqX8IAL8MACgu+lkA+EenT59+LQBUp06d+tunTp26HgD+AQDcCwBfAwD/9NSpU2Xx25cY9TEE\n5lFrAEvpbCzrWdrSvrYtRZsq3xqLVgBGOr7ksyeAHe1LmulysBeolEiZ+4NCvMfbpRHIdCCk/Kwe\nuG+PMssVfVMtLBvzU49FIzBQN1mKB+XfS+7Te3bE3Xzv53/zI/D4+e3+MYm/FbtpMKnyEYLvAhcm\nWH2UWFlZx2KsFRjtMFXdDw2RzB8k4q5l3lUy+aJr0iLlM2qMp2imiwKbeIAEBonnGTWj6QqNpdKM\nJpCLQFP7QyGh9gj7Zu0K0JgkxETjpMoQ4Vbl8lioHxEyBFS7IAMYpUPaRYZtls10pT9o5SJgnRnJ\n0ecZ1CJjAWSM+FxYhjFVYK93gO41IdeA1cR+vgdtpqu/Vp/+pwlNRgdrRsUtOVbbfzafNSWmMwla\njD2lT1OsNKNOgyWqbcG+960ZbbRm9IjQ1uF8UO2ncxKc6raDZrQHjMZ1i+mu6Pcqv923f8Wz4evv\nuyMz0TOMpvs3F4xWzsEdN68NKtv1nH1+s1RANxL7Hdb10QrFymWpfEZdf6AYWzPK71nfgTxPeWqw\nXIYGZ2MBjIjgkfZ39lL2BS9p6EZJCFpW9lDwGa6p4JGAvxJglflBo78l/abS+YV5RmfUZ1Tut2ju\nS9olbhrhphwztZQhfqUI7NrYLp5hhhAWBRcNeQakzAfyuZsVAD4rQwSqpXOX+pXWbv+a0SFc1MMA\n8GZy/eLTp0+/K/79uwDwegB4GQC8+/Tp07PTp09fAoCHAODuAW1/SZAddKarfOH+kL7E37qt8iFN\nf2eaUCHmbgmjYUnuUSKfyjANJwefWuuZ+5WRzHQqlbzwLdAYOsraUxtYem7TT0w26PiwjWLk3qtF\nhrCB+20aQgpTO9l/6/81pKddPl8WKJIMqKU9pQeUBZS8D1L4Ut4zDUaNMgN8Rg8CRmW7ZpmDtGtI\nqC2NJkC/z+gQM12lGSVrm2lGo9azJge3NO2lOc8QoKJGRJpUIQMQGC/bn6yuYz5h0KY/UlPa+vCd\n0/HNlM9ouE8PQcms5YAV+ExZMyqBsItBLKYkyJHcTwCZD2ISnNvBMigtb7OwTQjkqB9TbLaoWesy\nW5NryWpiX5pR4MKi1mAMlUCV9Lu+HDR7lzb31CZiaf3lHR38Rdcp5wMlmtG2Vb/jOC1NIisjgKU0\nybXKHFgzKiqtL4/hf/imF6XrZKbbOHaPCrRKwKPkMwoQ1g0GAkMt1YhoOeW6QgsBnN8HP30uPcNh\n0NOR59kBwDvffg8cWRn3lu0Co6Me7XDrw75D/fOzmW7clzwx03W8jBSkodaqi6yf5RlnCUWnU344\nM8WBz5Fp2xaIZpRbs2A9OsY7n7Ge/i5p6HiAntJzlYEm5VOlJtKJfZxar6CZrhS4yjyj1CQ4tQ3h\njKeRc1O0YxRgAl/fjlyjtQ+avGI0XWqOnMyGaSoV8Mm02AMX9CUsKvbOQT6jhtVJWocimi7OM/Mh\nHSCQ6zXTPX369H84derUreQWbXUDANYAYBUAaLbtywCwDj109OgSNIdkzrFfOnly9dDa2iHvshnV\ncPLkKpMkrawsgKuzD1hdV3D8xAprY319ERaJL8doVMPRo8uszJEjSzAe5Ve2MBnBekzSi3T8xCpU\nNKLe0hiWV7JU1Tmnnn1xccwOd+8Bjh0LfU9i1MjJpEnS7WBDP09l8B0uLIwALQ8nsezqahjfJD7b\nZNKkJNoL8d7ychjfSvx3NG6gacKBjO2sxGdYi6G366YCcA5GTZ3aWYoMz9LiOD2Xc+GdYJlUFv9d\nCu2OJ00uuxjL4jOshT4xtPp+aWi98bhR7/zYsWXG3Cwtj9McIJ04sQoNORSXlsawupbXBb7zIaar\nXVL80biGE2LdHju2DBMiaV9YHMGRo0uszNraYnrn1BQVqW09/P2f+ZNyvxK8GCeqBDi4blk7TcWS\nkzunwXVTV+xQXOzQIuR2bfOi7jr6XYQxa7+Z0aiGY8dX1P08xpG41mNemIQyozgva3F9LCyMwPuw\n9qqqSlz6wsIorbOx+AZHoxqqeg5V5WAxfisu7jnHjy2l+niQT2LfuC+dFM9y4tgKjMY1eJ8ZmCNx\nX/PxuDkW2x2NanBVBXVdweJC+M6RocB2cS9bWZ3AOD6v9+HdHllfYnWOHgnXdVOn/eNo7Bv3tcmk\ngYVJAxtbe2n/OBbXeBX3+cXFESwujGA+30zr9Wgsg8+0sjIJ/kbOQdPU4JxL/eOpur62CEvnd9Lc\nNE1VPKu8BwBn7yuTcZ0j/YL+hkr3SnRuawpNncsvLIxgfZ1/58ePr6jzHLUDJ44uwhfObUFLGMD0\nHEZ/8guvBMNsaVPx1onjK2ysqysTWNoM39V87qFZqOCY2GePH1829wxKJ46vpPMIILzz9TV+/l53\n3Soz81xbWxgk0KK0vroAx8U3cvLECjzv+DJAjHK8uDiCkydX2Vlw/PgKLJCAeEuLY/jVH/9b8KO/\n8B549MxlAIjrvS6/9+WlcTqHd6ZzqCsHR4/kZzx2ZImtx5MnVuDkyVU48oXLrJ21lXJKG6QgpOou\n0wfoAA7mJtFFCwsjeObNR+H4kcWiHyPS6vIEAhusaX1lAosaUy0AACAASURBVGcv7Zi/Aci9LPIc\nkXdJe++4AQeBz8G9Fsvg2mtGNXgI+7Q8VxqincM+JUkNrjwnAbLWC2k5mo1PJiOo62BWPhnX4L1P\n/Cauo6XFceDXAOD661ZhiZic3/fCZ8BLv/wG+PX/cro4T8iHPX5xp7hnraxOYG0587l1XcF113Ht\n9urqBJY2siZ2NKrhZORnEKCtrkxgPKqTP+h4VMPSEj878WwajZvg09lUqR2kI0eWYIGcw+Nxnfhl\nfBtHjy6zMpNJ3lNxvlZXF2DUVMlct6krxYOtrlIeNqyVpbhWJoQ38N7DyZOrai8d4jOKQPPo0eXU\nJo7xRNyrcE8+sr4U16GLz97AkSOL0EeDfEYF0VW5CgAXAOASBFAq73fS+fNbfUWeEjp5chXOnLE3\nkIPQuXOb6e+9vTmcObPBpA2XL++wqKnzeQtPnuGb98WLW7C9PSXtzFi7AAAXzm/B7l5mMHZ2pnDx\nIp/DJ89swJxsJJube0CEp9C2Hs6c2WCb9+XN/IE6F8qcPRv6buNzbG1PwRNzMwBIc4gf8tbWHuxE\nBmgenRDOXwjjm0UAsr0zhb3IuE+noeyluGHvxDna3pmGRPbewzTWu3hpOz7PLjgA2N2dQduGiH97\ne7ydvTiGzc3dEIJ61qb+L23EMrHvjXg9m87BgYO96Ry2tvbYmM/FdVo5UAmDh9BQ2e7u7gzOind+\n9uwme+ebl3fh4kVuXnvmzEaaU4Dw3Bcv5k973rZw5swGzOb9gKkrgMfu7kx9N08+eRl2yLrd3pqq\ndXvmyctpfJbk9jKpb5EbYDPgxbhbQ80q+6aSy1wGAMg0tQM26oMI7y3MX2pnZ0fPO6W5dPixtEbx\nOS/HFBk722GNb27uBTOqWZu+Kyy/Gb+Djbg/TOM63NmZwe7eDCrn0jdyOTL7O7HO1tYeTGdz8OBh\nFse3EctsbXIG7dKlbWjnLbSth+24B+zGf3E/2Y51t3emsLs7g7oC2NsLZTbj+tm8vBPHHvejzb00\nN7N5C23bwuVYBtvd3c7jTXMT+8Z9cW9vBuAB9qYtbOOcxH1jN0bT3dmZArTB7A7nEMviPG5t7oGD\ncEbsjWbgAGAj7msoZd7Y2IGdXRK8au7V90SpxITXYoGZ0u99cPA//asPwNpyZiK3tvfgwgV+9pw5\ns5H2ayQMsrQUNWiPPbHBgqIBZM02JSm8k1F4raHjM547t8m+/83NvXQmoC+YHPuF81v6OxJ0/txm\nWu8A4VvZuMzX8pNPXmZj39rc3bep6Xw6hwvn+Ts/f2ELRmQfnE0Dn7FHBA4XL2wxodju7hRmO1M4\nvjZJYHRrczd9Wxb5eZu+183tKTRNlc5DgLBv0L1o8/IOnDmzAZc3+Dy04qyZjOtk9otUVa5/fx2w\nRq19/EpoGue2FylD99m0vNDAd7zpy+CBjz8BH/rkWfX7DtnLkBdCfgmvt7b2UiAaXHsXIs+H+/FG\n3Lfms1bn364qdu5b+4A8i4ac0chzPfrEBmztTAPfOG9h3vrEh0138/hwXz93bjPdBwDY3t4rphpC\nwv3h3/6nj8FNJ5bNMttbewzMeO/h7Fl+ZtJ9ACDM14XI2+H62dzcBfBhDaBrCfLTF5F3jPvzxsZu\nCB41b9V+cvHiduKdAUJ7GxvboswW2y+n0zlsxTMnnxm74FzY/1y0ArwgcBOug83NsFaayqW+zxNe\ncWdvDp979EL6vvdDOD8XL26pM39L7IF4xu7GNTybzWFzQCrEg9hSfODUqVP3xb/fAADvAoD/BgCv\nPnXq1PjUqVPrAHAXADx4gLb/RhL7/E2TXcO2UpXpN9NV5pmgzbS8KCkD1XhyHzchan5ZOb69UjMy\nau6A98J1bgcLUX9LAG4GmyLYFnxGfetJOxDL5OsclIQnLlYpYsCn59R+pbwOto0BXdR4YJipwZWQ\nlTqFBosBCNMiz0hpGvdHH3gULhIBA/48jPfsKGT5iYl7lt8nDTU/GhAQSFJl+GNIkj4tQ8x0Lb9S\n+Y6HmIntJ7x/qnNAM91SugbWTqeZbo7SR9uuoukimqbSaLoqmTWa8hLTsT0R7MT7HPQsmaBhcBMh\n3UafUTTBpePNSeBz33uzefSr42ZrNJADADeZbFuZ2oWb9s7InmMGMGp44nPlE0/mR4bcz6ZaGO4/\n+xpJv1znACoqvhpo4iRJmkla6WL2awJ5aZNoiQwz3R/5X9+r7uH5gUB2Y0sDobkhOJK7iCVckkTP\no1KUSoCCf6iz9xVdJl9a5mfKlLfq90WV1DSVGosULlipXZw003VYJq+Fpq469+BRU2ezu9bDqK7Y\n3Mk9CvvoMrp50723wk9+x8vU/SHzMkSrfJD9t4vwcYd8HwuFvKsAYVyvev6NcOsNZcsGzOmsTHCZ\nHyDP1Yj78WIKohbTSzkttJFzY8dbkNpUPedSkIDr8WOfOQ+PPH6Z7fMPPxqMJK3AQ9QkGa/7LLbo\nOX05grSf+I6XMRAbUruQ5wS9vvCMy3Xyu2b5QZPva7DLkYHoxinP6DzFJFHfJ3lfqV3lbsT3Bkf2\nKRpNF1NOyTMMibmaxDLStBj5hnMbO1dkRRB84uMY5/wMlc86o766h+QzKumHAOAnTp069R4AGAHA\n/3369OnHAeDnAODdAPAHEAIcdds3fAmRGVCms7zNtLMyoA/7YYMZdAvA22lbJEDsLOPzYgPgwATX\nHvXfkoMpRdPNAYycKuMgHHzJJw0oYOWgEUG2c/q5JKBO7RBArfo+oP/K0Ei8HgyfTM/Tq1hRQryo\neH5jF/73//IJXmUgdQ219fbv9J7lV0rHv1+TNQAdRMjiYYakdlGJu42GFBM4gNE5SOReq90SGP3I\nJ8/CuRjowZIia5DdFcAoAkshZMJvjQY4ysEdBNhDBon4r+wZAYxkjrFdwWghNRH4ouCFMiwycqRv\nPUxnLYxGBgNnHIrUt9MSSmV/l1b54NDDtMHgRJ7PJ/c1qtg9XBczVib7lbL9jZRhDBPY672P5Byb\nmvh97mf0+7HOJhpJGAm/MYwGe2lzT/ssDQhghPPzk9/xsmLqDSJW5M8rTIOt3J8yuIlFmK+a17EY\nzHIdi15z941w1y1H0jX99lI78huPv9P3XDseTRfr0P1B5iKVNGoqFT2XjkWazWIfcryXiNBheWFk\nCsgGMagDluhBAsh1Eb4vuo+WXiH1Gb3rliPwwmefSNd1YW6Q0I8e8ywD0NQ4GJWcB4IDyCAAAQZG\n9HbOKfNaeRYMCU5kgXtLq02JBrb585iujsUlIAoHuh7ltUVf/ZJnpr/R//7mE8uwsphNUCmPJ8dD\n70l//JR5AccTASHdo2sB7CZRCLA301GMKVGBswWOKfiE+Du+C+yrrkL/6C8bwKnoh6RBayO/KwWh\nx9fCnnnu0u5gfvTZz1iHH/k7L1RjTmezEAKn54h8QQ56dEg+owAAp0+f/iwAvDL+/RAAvM4o8ysA\n8CtD2vuSI0vzKO71vX4vKpnrRUqjvd2uL17kaw/ZhMp7Dz6ulXJQodxZkiYpLSPRFFSkHlAAS7Sw\nAtTSzUtqVHNSeJI7MBZQOU1ZO6GQHHNNPuDQrAMAx8YnnduHfFCIZykNlSmYQA880xxYQUt6teqx\nwpBxdBX57Bc2YGOLy5hk8CurPg0OYzElfWQdfJIGRdyVYNTUjHa3a9EQwKrqGO2W5sYDwP/0b94P\nAIGxe/IiN4tR0XSNtmXAHQmcqggIMUIfXrM65HtNWs9YaE+ldgkHY13xgAdNXSmhTkrt4j3MWozk\nG36biUBDrQ9MwLipSBmuiURyQPaP1idBFoAIQ+94kLARCVCR5hQDQsyzxBrbtfpi80XK5PxrPgbN\n4XMcwCdDUgeKKGoBc0mWMKaLaHFLcAagzWtx7KOmgqVJw7WrkaTZbu4hE76fxUnT+00q7aRghuTv\nAEEq3x/ASOQQtUAt6L77pvnLbj0K1x9bgo8/EjybqFVC6osAS4x2DcD3tKpy0BD9QtaMEjBaV52p\nS5YXGrYPlTSj3/m1Xw7v/sjn4fabgncWnbu77zgOX/XiZ8ADH38ijWvInm3RkLV/kP23i3CotN2l\nSWOmcKFg9M5nrMPX33cH/N2f+iMAyHtWaV1h/s2mdmlfkhFKU3qMyqm9a9SEd0M1ozJdmNwTraFI\nKx0zyKC4toIKynsYtfny9h7MiDCQaUZdPxg9tjaBr3nZLfCf3/9ItlaRwBLkt4n/OhFdnQNWbSER\nNLUIpCoC7PaElnFnNwvfLP6D3TPmx4EUboESOLjKpW/eCw05Egtg5EOwK9wX8DmOrS3A585swrkO\nH2ZJFIjTe+k8n9vCZeQLUjqYAe8Y4GCa0WskqBP8FWqog7wPUEBBmyqBidm2Z78jZRPc3I4yTSVl\nZP7NNtXBbnLbSquY1qJRRvZlmNklgAiQzXQ934TSeCiABi65SqkjUGtBTOhCNZJnFNttgV130ZWE\novdg5JP0WnNg6BE6106ufmVodGt3Bj/5vz2gytMqs1mrnoHmuzpIdEQNRnUZpRk12ikl7uZtC2A3\nKJruATSjVr63Afntlhe1/NCSAOv+wj2Z2mXe0vVva0ZnAsBiepWaMEhaMwoqWfvedB4YL4PRTqld\n5sJsTWhl56gZNcx0LW0g3VMo80HNYpu6CsnJhcCESnYlQJWaURoFV7ovsDJCkKbcBQR4kQzUUNJg\nVJfZ715FgWYpp+hcfPvYhYPAnG7tzsB7gBuPL8GbX/Ms1W5u3+57WAoWOYdCG+M0wJft3nXLEbjz\n5nVRxgKauh3ZN2332NoEnvesY6wOFfwAaFPG0E74F/cIdF2g75kyztg3AAesde06BYInjiyGIFuR\nRg2P7Iv93fu8G+AffuML03dJBRs/8A0vSNGT8XmsVzYk5c0gN4lDyimNlEygSbuWewRA1pIB6P0n\na0bzvS+79Sj88+95JQCgmW5rm+nSFFktX8O4B1XOwWRUJ82o9V1YmntJ2sVFzydq1lK7xvezI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qSfAO6TNq+ZVKiX+XX2k208VrSFqyzLzFSi7nGwxltHYBpdO5Tt6cZNTPnGxejzlHzFTIPT1n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\n98ljOaei4KIgvnQ+ZC0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hir+kTOou8oZk+dl0A4OUlBIKIlOQ2MEy8HHXaNptVjbdOsmM\nyoGmBrv0HZg3V1ZwHSAc+SwtAIyldQC7BSXbglG3T+k+8cWVe1Zwi7V2SefjdTLcMtDmAkRiFBOU\nD3eMjZ+5LKs7v3Z3wFKbDBaWWebFhBUcNArPuPSeGwUw47q8LL0NjAl53eGoYcY8l5qJYO8rIDz/\nwvNVZDVE7e/gPyu2X1kZlLwH7HnyKXNazj9xBRbO7cQxhyfJn3o6izjn+GXoX+27q0rltlolvFYy\nF4ldMpsZ74ZzPAt1mCz4M4ZMzYyG3HRz9Te58UhC1xp9vTwcgus10piC9yrj4qQwAP4eFwq+jsDH\nGzKuZJV24UbQpH9fp9OSx003K5lYkc1tgK/nZHm40H5EZpS5BDeKqy9ELgkgGc4A2U23h7jpGn2t\nEGG8Ujf3iuqVF5y0Al0dRXz7+l8n59CscOC69P8dITfdnO9lmxltgdDSLvp/z0mXg1GBAbKusrwN\nPc49JssFV2Jc/SQqSd91ElfKM2Jqyzgt/8Lj33Rf9BItM5p+z9ooosDUhPEQpzXnXIrdD3qukAuu\nB0bhT3h+dljl+cI73yt/Mfd0QOE95MZoaXL2YilYmziOGyefaKUoWSlyJmm4wfZ5YwUAYrwQnvnM\nBEaiYq9Mm0svOdZNud+Em26oDR/PmhXz8K7XnGTOxRViSTlo1vXOupL67zd/fELZTAG7WHWwpEb0\n90oSr9htqT4id1M8Ynmvex4BwB4uZJ2kYwZ8AKTvnwajmhmVklEEY0Z1/1TXUIILrjR/sJ8rMZzB\naSMZntyFmANWPR73nZEs6lmKHb0wiaUz7YVzcdBt29DjGtcK5HOpyAKk//I5JMuwqA8RwXJgfDZT\nKz3OHZ82wpg5wyh49phC6rauzLZy+gfSDNQN3hE9RttGj0+Z80jXRKXZuaK7s4jTj11KgK/CW19+\nPC48+TDT5p3pfHXcEYuyumm58Dk67N2Row17ziaL/XjM6ETddE0YREehQcvmheYwMMxoB48Z9ddF\nvh26NqlUod+v/jGdjyAQlsqAcJFcZ7PbsPEpvw1tUsh007VtkrnC1/m8mMgG64p3DeL825gZpXoy\n4D/r+ivJ84kaLrgnmz7ezfnhJj3SY3ZKyyj3GvRYSyW3HzrP532N2sxoK4S55ALwy7QwEsuyg3oC\ndDNtxvAz3GqWk07QvBSGBXu6jXXB5YymfhkosPHddG25FS3WLZYwmpEiINI+7G5pFxtjRhUYKalQ\nHMcOs0GzDzdyoaP96Eae+yz8SZszO8k+fyKw3ysv5sZzBZUAWY5EOnwXt9IeQBgKILlfPG4CYPdM\nNb+A8wm47j2/MhAHwNxrmEISAxeefBhOPGqxKWbOsXszYNkdM38OgJPXLsFdG3c4/ZprI/fovW88\nFT+67QlctGGlO94GYt8VgRn1xodgG53gxLGmFiPXShuxbLpSAqNihKhqt49cPs85jwa7VLnpKMkK\nWoiV1dc+Ol4FIDOjHSwOUH8vgj8GwMS5gQEc77lWDGgqfz7R/dN9PBkEvw4652WNWSk+Pr8NFwkA\nQCko8tsYUMaUHymBRshFThoPB181wWjKFa+s6+Tzv3S/QkYJq7wrZwySAUSl66PN8mnPlcSgke2i\ncI/ZNs84LRlRuLS6dAkAbFi7BBvWLml5v3lEmp+y2ORQGz1dFdjvONlx2SzGAWY0wCh/6rLzMDBU\ndgBCq2QRcdPV4/VjoMM6CzCxZ0qaS6n+yvs1cw50aJbup/GzHgSsRbmN44Ir9FPibrrSfKcUQPGY\npOdAnttCIQeR9Ix6853722hDmxizb/ala7mQTXfZQj/5mAGjbFufX8q42+GQNLKhuIOHawXC27Kk\nDUZbIBJB5dYDjQU3XeKSS/qJlFWRRfaUxIw6bRiwo266PGkKZU+VSlxwOcNq3HQjUrZFA4VIjyUd\nhNKLtnAuQoUqBRdka1BbIwoRGSNVCi2495OLeGUXBCVGctPl7ge+m65ys+kKC2YjNydpTuXOtXnc\nGKQyKQdSlFKszmgyHpcZnUjgujtJSzHP2dl07T4b0J+2YfvdvfnHxy2H0njs2N1+NbNC269dNR/v\nfu3JZnv5oh6cc/xynLIurBieekwf7n10F04/dqnpm59fiwRgqBhmtOjGmThKc8QzD/oW61JBGbYS\n8D0L9AK1bc9I8NromAE/ZpS76XaliRkcgFHy41OVkg0WnHmUXMKcW6qEe8zPxa5B/9sIbNHrM2OW\ngB0HVxEbID8/++ltP24bnmwnaevee+ddzFBmJRZUclPTc64tHUbHEy7tku1q7N9T2obHNpv6t0yx\nk2OQAcRyG570S6rFy8dSZJ5HUmkXLs1m052uwtnO0DXnAS7cMDJ5MOquQRM1Aszr6cC8nsnF22aJ\nVCuy04RDJPtD7GSjtQFAtpuuOJemh2jXZsdwZY+rkZwjofuqn/UgGM0o/+IwdsJ6pYkV008GCysB\nasoYJuygPy7fTTfcJlJ8Xtdjd59r6ffk98fJ/5BeV9+Cbq9vbvyix3G9ORKuXbFrtwmM3IvlpXDy\nyMyY5Q66EOAZu59aeF3ROn8xY5spV2/HDLDGSI7jCY1oG2txtdtZgDWK9HhiYg1M2tASElHkJifK\ndtP12VOaTVdfe5we4LsNK3eMyh8zfxmSc7nbfukD3xXPUwzhA6vkfvj++rTfRhSlaBVix0iLKMea\n3Eo7haE+oijIzCi3gLm1SHP0yxZHzvQDPlgPuely8zadyF90xmp27sYjjCKFq95zsRPY77lsmldY\nYnsEVo2N4a0vX29AZpace8JyfOyPz8bLzj3SOWeywfps5KabPuednBlVbhvHiixkxi0WIhy+NHG7\n1cXZqWi2ct2qBQCAV5OSC1w4EJCMETaBkc+CcrYLgODyCu8a+DwgnV/BfwY9NpBtgynewfGwNm43\nvvKhILMUEotIx8fHkxgj4Wwn56L7ZKYllPVWmWP9a9XzRUVwN/f6USrD+4H9fs69SNuQO1Asuu7k\nXikM9glYZZYns3FALivtUir6zyDftjVt62m/edwSc2pzh4jYqZo+i6xNjrm51W66RhXTiSOF+67n\nmTndJe+7gyU8ZtR5ZzKMO9KatGZF4tnSt7AbV7z7QmfNo8cC9F6763ZBYMR0W8nQzCWPcUavRb7h\nyv5fyOjHMbAKa1qUocN0OfGXfF6yx9Ljmo4rTRsZsB251wL4CZ704R1CNl0pXtvouEpv++VeuPDa\ntq6bbuT1Q8eQ9JvvxWwzoy0QFxgkGw5zRYGl4kq3baZriGqMYxINWW03bUOOYaDWMJxkMeUsEXUR\njlTCenpuuiSZR8KMhtx0kbr72nExTGCs8EnoaewoHjWhBEvCjFpFvuqA2rAyqZSkLIG14cWNGbOj\nX9ZAaZdINXaXlbEod9P12/DkRF4CoylEo10dBYyN17D+yIV4+Im9yU7FlCIzmbnjcu9pDoUi/aRG\nmIaHhtx0023v3UES0/iV9z4ff/jxn+cdXjo294fmEy91o+f98jTnExWllFPzLww83HFx0QsIjxml\nffb2lEx8avJ9cgzNsFksRpjX04Er33ORqEzrYzasXYJPvO0csWarlm5ifeVuuvw6LDNq93F2QP+v\n/EfWs3xL2Us9dyrhfvugKKx8aA8SPiJ+6yRm1DkqczxyH854vNeTKGICw1SI/MRWSduQe76k8KaK\nlgkDsZ43Tj+eQsd78K+h0b0oFdwEfNxV3IIZe5BmcI0BVqoHypjRLEXaUYBZIjIpMRKXokSxHIJi\nrlGxbbqTbeVhO7MysDY/vlT30HVGhfv+oTefgft/vRvrc9YunQr5yFvPckqOdTBDHH2Hslh6aW14\nz++egl0Do8a9k3sFubU19T1PtiU3XQOOlQKQjxnN8xvmSmDEWHPTPzWmCs+NUn7CHsBdn/y5Xnj+\nlA88pesLMaMmUaPDNsvX5ZZp8++hvvd6TdY4wWE0M8bmzJfKBbl6HJRhBdx7mFf9mRmz3DQTyiJq\noRlsE6BpASFgXXmTFz6dFFlCI73PcdNlIFdv64eOukfow1w33QQo15llSyuiKrIZbnkWU16CpU4y\n5XKmNrnW1E03PYYDTTpG3cYAVpopl780wtPuxYwKk1yBAU0JeEoZZG23jd+yPMyoNDn7YNRvc8k5\nRzY8/7GrFzRsw+WENYvw5csvxvojbXILBeWyoKLC6RsBGgpbHPNYTy0zaveZkSm3lWTdNsc0obzQ\nn+yFp6/CG194jNnW94LHgev/p8LNjp/D/TL5yLo+fY95Bj7H5bBYQHdnEXPShaecusgeS5Qw/b7w\n7LdaqDLTt6A7yHb0Erc2njyJP2NdAgtq2C6490VSGrwEERw8eMyo67Js76+7S7o83oa7aYHtywdq\nlTe/Jf35++g1JIfy6wqPJ2L3R2ZGM/qhx6X/G88bKWbUu86Me+GcK6suK1E6C5wZ1XEm7jWFnjkL\neOy+IktgZJODuMe6cWrp+sqMxqG1JDSHHVLCFHLJvdpuK3G/JFETbXMMTwQBWpYu7MELTz88F3M7\nVbJi8RzjbQIAXZzpFwChFXndBpI5dGVGgrmkL9KL/l/rawHXZsXaBO9djtsqZaBOxue+89K5JC8F\nPn/Q903XRHeYUe7hos/PCRCpjTMnyiVitHHUEk2+dx7/XSU3XSojY4nxQq/Z2stI8gY02+kOx00X\nwILeTnuudDxeiT8Wi5pH2mC0BRKz/zlrRfdZZjT5zgWW7vc8tlIDVvogcuVdb5cIw8ldeWsE5EZR\nwnpydyRtuU1c1lgiIm01pnX54DKjHBwD6UMZJzeEKh60Hqj3QnvsqeuLL7ngRkoxC7tU2sWfODnj\nBTBmVGBgG4mEqbxEOkIjGkcLyHFD/+e3T8IV774wOH9fcvYR+JNXHN94oM6Akjgs7vffqLSLN84c\n94e7lPJnHgB6uUuU0IZbHvNYYZvRJ+jzv3RhD15w2iqvHx4zqsczFQlIJMbIboeVs5qxilJm1H9H\ngCQxEwDDkB9DlKBGWT65tTQkc3vsb5yVwEhLt6kzavdp97k8rFmBGVUk6znvhyoEErDjAFGK7UnA\nMTmRcvuT2ohxrrxfyG2o6K/YkBsCORXJLtNBV2dlj+X7isbYqRNxuQPixiyJjQmxkxaw2m6LzAXd\nJtbSbfU12TZ8vpVjRt3ntCQot7T/pN/k/ypTBkNzUbPZdA8VCV2VfV6zbww3fE8WIBpigIQ6Hb9m\nEV4VCC+YDuIlMBKYNC1mDsyxJoWeYz5XhMrheG1Ca7JBt9njysqmS8ebnXGXzh3CXIYkSdT5J67A\npZcci7PXLwMgMKP0MvWcw+d6iRn15k06tuTT3h8f4Nv51+3Xyf9AdLL3/d5puPDkFTgmJSX0d3r+\npaynPotmS/XvxeOUF8y1YNQmMOLZdNsxowdFqKJKQaTTxgGEscdoJsclLrjpHrFMSxzbBzqm8aAM\n/JmY0brUBmY7AZGxn8CIxPRoN10bE5ccT7PpJjiTMJx6jOk2Tw5A3WSdbLpMsfDaKG7dFyY3Jb30\nbFLmio/yM4sBaJDAKMdbJjbhbrp+owpjRnk2N33+nq6iWQCWLujGi844HMccbgGDQvMxR7o1B5rS\nGBoVaP/4284JJ+dhSrLkflwqRrjqPRfj7OOThcEU/glY1iVjTyPpP7x5FpmeQ4p3Pa2/r2FyoomI\nq8Tz7+CNg4px0XEKZUemH/q76xjV1z9/LQDXRafRc8WTGoSEGhwKBeUsgKPlhJVdtyqpm7gqtVbT\n6+MKmf5fAltF9t77TKkQYy54M3lxpfQQ/VyD9S0qKO5hoptugD2V3B6zGAE+v4ouYORQ7rIsMaP8\nGF6/09nHjJ382nliJkfnE66TJ7tSQqOsBEYhMMOvTyrbwku78FJG0ngtGHfX29A8NRXGrIMh+ioi\n4cbwqUq6d1z4HN/MXC+Oz6xBelvhL16/AS9P58DpKh1eDDR5XzNuYJ57xVtI663eE2JGuW4aOjf/\nDSTJYj1Foxmb9+h8I8Vr67n1D196HC48+TBzjm4WM9qI9Uz68a/LN076c5eeIyUdhl+PPtx107UX\nuXbVfFx6yXE2tjPEjKadacPuWCVZd3lYgxNDmsWMFvzraiTtmNEWiJesiJf7cEBj8qJJ7ojaBVcf\nzxdLnbCIg1PahqeMp0DPLw+RKGu1eloyhvRTI9l0TTxoxrn0C0xdgvUI66ILLmNzSaZc97klCY00\newpfEZNAoqRguj37ig8vbAww3/cJmG6kF5E/L9KCkcdNl35XrSVjfsML1uF7Nz6OzU8PAEgYp+pQ\nYGYXx5x88omKZ1VL2rjj4szG0gXdOOqwebj30V3yudJPzmhyiSJFFj67j36f9JO2EZIJheTv3nIW\nli/qbtxQGps+p32MjbzlZesn1GcjoZclsf6AbBWPQZjRkvv7jqWlU+YSYLh8UQ+uuvxi5xyfevu5\nGB6tNFxkssq4SELPqd1+Lz51Ja6/51k8s3MYAPDnr9uAnYOjWLF4jhmzFp6URl+vxNhRNywOPG0J\nj+z5Q1SUeRvdPwdbEtBkg5ZALY9zlZhxboCjYsec3Y/+nyuzkpLH59cCv9CM8XAwlmV81NsSePeZ\nUek64bSh/fKSG1zBA3zXWDHjbiFyFHYOWI3CCOW10etrntIuM5YZdZ5hfv3+/eaip1sn8/GkxqPX\noObWy4Mt1ivEfzeNoQWuCTxP6EgI7EnzCT+3OY6tj5ON7S2yuEc+JsCv5yu64kvMaMbYdJ4CfR4p\nTCbLq49KKMRMf0UTlNJt53/WTyM3XS1ap9NgtEPQeTtLBQyhgnKqD4RKFOnnKFTaJa+RqA1GWyCU\nEaTAUyk/u24UKdSqfhwnYIFmPe2RA0vNclLW0Y8ZhXeM/q5U5IpAMp5qrW761W2r1HU2HSNPCkNr\npyoFp86oB1jTRrREjOeC6ykf1rouJTky24LSzYGm4u8nU3wixcGXO0Z63c2INC3wtU6MGa3WWZvs\nCcaz4pPthXM7MTRS4YfkEn4/eNwE4C9qkkUsNPasRc1tY9R2Z79reWRtyD1eurAbRx82P7N/AFjU\n2xkcZ0g/4e5dE61f2oyEgaBeeN29UaQNRsk4O5lrzf7RZPGZ0+W6RfPnftG8LqfeXZZwa2lIXDCa\nnO81zzsag8PjuPDkw5LxdhSwisQ00evLrjOqvPYF5kJEGTzRDdVz8/cVm4hZufWDzS3fjZJaJAZC\n99wAe6/4+IR3yFPtDUCy+yKmVEmuxfy6JBbKuy7Wlu4zMZNSAiPhuholCCpG/H6l/cA9jjLLxk03\nwKx5MaPCufl7YWv4uf3RZsZN12TTld9V59wzhRlV/JO+L25baxjJ7o8b6ycLcv701Sfimv/djN86\nf82k+jnQ0sXKWoWMUgbA57lXGb9J8pX73GrdUDKa88RQ+RIYZS+4OkFPjYFRN+Y7NSqmU735pPOJ\nUDs467Z0d7qGeDk0wF0jxDAiz6MkW1+Khftl9FiqV8MFjCHiwjCj2k1XCE3Txo1yJc1e35ENRk2O\nGhaSM5HSLm0w2gqJ3X81SCtEyoC6LHdaHv8ZRQqo6e3kk5ZpoW66Tr+Ru62tR7V6jChy942n9HsU\nuXVGKRitkdIuXNnmbolA8iIFY0ZV+lASoG6Y2gzWkypdJrOn8ksfNIoHjZQ/ASaxfOwFEtJRh2p2\nSRZUnk5bZkaZRU8Co7XsyZiL8dtPJyRq1e+d0+GC095O7B0qB/vTY3brivpxE7xNMhbJlTc0G/kK\nm9zCtrFZayWFPG1Djv/4n5wTOH8ijRSZ0K/hx7s2PN2kRQbi6XbG/t/5jXX4959uxhlpGRke0zmc\nJjmY292aZaEZN13KournpbuziD999YmZx9D3RqozypPb6DvDsyXKDLurKOdhBURQxCjMfIkvaJ/J\nJ1/cubEN4M+dPDafGaWKjv8uRpFcZ9RnAfwxS+DcgDEpgREfD9xzS251BZacSEp8w/vVzz3PaE/v\nmB9+4J+bizEAs7VeUoCNm24OZvRgJsuZChF/owZtJeFM22Rv05oV8/D+3z99cp0cBDn2iIU4/dil\nWL8mSTjI50AAsNRoY1dZLbxFaA60brpSOBHSNn4/DU8qiH7PPD1KMFxxttgxZBX9dzrreQu56WoJ\nhYaZuZ4dJzKjLJuuy4xG9CtzUAeL68wSQ0gF3HS1cUMzoyEPp6GR8aQNA7Xc+yiPzEz/jwMsMduQ\nXASpvzxlPV0XXDKRxDSQnlmTSb8xAb70PEWybbJnpg9MhdYQVSmbW3eVNxrTYhlM97po7U+V9kPB\nJuD6/ivYmFpF+olJA24tLTArmIL/knOw400WGZMHd31ryIzmmMDXH7EQr73oaCfJypt/81inzYol\nc5xtqVvupstjKS8+ZaX5f1/KfK5M+5XCa1cAACAASURBVHWyryk3m+thi3vw5csvxgUnrci8BqMA\ns7TfEtPF3dmkyTVPjEhYGUs/zR7//cpjKPD6Jf83+m1D/dlnPX1GDwAaDcXLZt3355+6Cle+5yKs\nXtYLwE/YtX9Ug9HW1NBrxk2XSt7sofRp5G5Zyf8ZzCj3viDvi1QmQsF9Ry3YgtumASDLasMxmwRq\nHdcrxRlW/Rl4JoT9et7WIoGnKGLKbeQqd7pziTnmBkF6HdbY6R7F+6XdStkvCwUeF8wuWLcTmFF+\nTQ7oznTTRaaYsgnMQOzGqSUd6Pk9K+lR1tgPZTEgVG+zeGoqEWsrCWeOZhpozysLezvx9leeYEqy\nSN5c3FsnzyPluekGQFsIaPpkRuCcrD9JCszoE2rDvU9c41Z6bwJMshaeUdYZMwO8uh8ptINfu2RU\n5mWlpN+Th8N15kwWqAG4YUZLvs7LY0alvrWOoHVPbnjmREYeaYPRFoiTwAgWEJqss7Hv4ipm041j\naDct2o9dwNzJN+nXBbV0m8dxcn9xDdrq9ThlUCnwdGNGed90W7uxxXFy/Qr2xaJtkuvS98rPMupl\nyoVlL2s14srLXnKvID27r4ky6U/GhYLbj+RaIMVfhCRSCpecfYQBhkopXHDSYQ4gfcGpq/BWEkso\n9cvB6IK5tvTFJ952Dn7vRcfwQ0wact4dr/3JY2q56G942m8pTkJKasT7yXOuMHmqte3kw07SQhPW\nRpK/eMMGHHfEQpxzwnKzr2E8cC433bSvA6AThVgFiXnQQoEXX2S0O3fLwGgTzCiVkLs0Fel5dDGR\nm6bfsnOusYa68BvXSidzDp9PfOU3AUXZipj+X3TdYvsEXMfKKvmx2eTyvP+dc7HrcNx0BVCWK2aU\nzeWGaRTuB1/LPOY4MG9LBociKwMkZRbm21lrcMi4lSe2U8+X2kBsGTt6DZwZ9dtwmSFlRu08xeZq\n9i1rE5hMA7/fbBbXgO5+Z/MaNH+vQnHzfjFDeG1tkswIb335erz/TacJjZMPrctsWOsn/+P9SWJ0\nZLYtu+n6czIXzoxK4+HhFY1CMoAMZpR7ZZC5n2faldaHkOQp7dJpmFHtput7Sp2b6k5HLteGbRau\nNYHSLm033RaIY6CJYw94JruJVSj2XXl02ZYSeRCtmy5nRkHaZLv/6hgx49fNHsRIJQ+Kk8lXMWWB\nKEe2b3cbgGVGgdRSnl631ya5WrCXVYvnHpdu11g/VLz4ByVY2L1z+XFOxQZuunneKe7qFplPMgkW\nFc45YTmu/NHD8vhh3djWrpqPt73ieGdCWDSvU3zBdTzd8FjV2c8VWaARsFbpOCO+y9sMJkIQFOCM\nUwUVCaNse9ZdX3k09yUAHo8/chGOJzVUG52/QXe2DckUPdUiATGznX42uibOEHV1FDA8WsHCHPGg\neUQqlZRHuCEmS6TLc8AV3IVdMjApNlfIzGhGXU/mPiXHCLmHycyB20b6bYtFPmbfEiOBMn6OPIy6\nB6AFg1zIJQ3ifU7nUzZfcBY4xC5o5ZGOu5jBjPJrkwAd92AKvS5SzCgX7qYrGUhsQj43gVFIlZxx\nICsQZmG3G99v/pzNEAJ50lIQ5g+l4CxiuXSZwDtk1uQc6+0p6/pww73P4uiVNm/DOccvd9ro8KGF\nadmQJfO78dl3nO8YRk8/dinu2rgDPSkwzJNxt153Y9Odmr8ZpV0k6RYAGT/Gef4Un4/hnSs5xtdh\nPK8MwWDImdG8OgfPG+O416Z9dJmYUe2m689Or7t4LU49ps9kuOe6xERKu7TB6BQIL5NCWU5rlXWB\nHZAAN/q956ZbdV+sGH5JFpo8qVBIWE/djw4y1jGjKkrddGETI+nx0Iy7WZZkNx40TU6UXotlRvU2\nrJtuet2NSrLQ67Iuwb7FyUtgxBUoKG+h4koo0uvUgNmAScFFIiQeKyAsqp6iGCl8/l0X4MntQ/j0\nN+4DYH/r7o4iFs3rwmjZAsyscRy+NAGj2o+/N63dyIF5sk+O7aDXXmIMEm/L23j9QZ8r+76JNRsz\n+jHMaECZ0XtCLjziORr8thvWLsG1N2/BKwPJLWLy7k218IXPEf3sNgKjzJr5ztechJ/d+TRedPrh\nkx8gmi8ppIU+6yGRjVn2f+4BYJ7Hgmu1dRNfKOczacNBkf9OFyLFzm37z+pHMlRx11T9r2tQkhMG\nhRLCSCAtyw2P31ZRYeJKlcAcS54L/JmI+BzMHmzJxdVlS10jgDagedcmPCvNlAaRjBRcDDPKY1El\nY2PN9XoKmV/yZqOc9qLnb70ZuKyQkv1nrzsZN92/FceuXgiAGBNmyn2apOQJLertLuGs9cuw/oiF\nmf34Bi3l/a93hYDh77xgHc46binWBUqnfeBNp2PjU3udsnTz5nQ4bd7+yhNMbhPADd3iYksbJtuW\nPbdt9DogzdtcwjWz/TkxUkAshW0E5014/STj9NcnrmfnFa9cX5AZrTnbfNz0twqVdslrTGuD0RYI\n1XtjyECzTha+BETabX1gPUaaVEgf47ryVAkgs/267k4mrjNSKKiUGdVuuiyTlk5OVK/DuOlyZpTG\njHosLLHOKJV+HwO67ig9Ro9bJ2GSgKeC++Aqel01tx+pTeY+6VzKWtqTa4K53mottpZ80iYPvrHu\nGPY8YNclWcfmdpewqNcWE+bZFkNK5Oqlc/HUjmEsTI/Xyvz8Ock2ncz0MyABxDldpaRkh26bw80y\nGN9H7mmjNnks4LyJq+zm6WjicsTyXnzxL54XTHNeF0DyVIkUV8i/8zJIMymxa1nVNxdv/s3jJj22\nP3/9ydg1MNb0fXjjC4/BD2/ZgnWr8tV7bewWyxm85H8OiCRX/JAFW06k42ZsVRnHuYBRv9tsPhOM\nLDyEoMjmt2TMdLzO8DPdV6lIMaNJv+H7o5RyvTvMeHxPkyIzgmXN90m/7r2Rkv3wmNFOk9FWvjYq\nMfsudG/yxCWWODOqjxHa8kz5oZj0mcKM6quQ6jHzS7Trpt/PiUctxolHLTbbmskJzc2zSfIY0JVS\n+JNXHB/shx8qxqmnv2ro+S0VI/Svzga9QMKMcrZUEjoGnlCTCicxxGRignErdL+yRAaajADJmlsF\ngB/Kw2H+FW7377xgnZfVlgsnD6SY0edtWIkb7tuK11yU1BbvDGTTNf0ESrvknb7aYLQF4pZ2ERKZ\nkHIvXrwlBZb11FWW9AXYB0izZUZ5ionlRwNExiDW03MrZR/yCmFYo0gnMEpYWeMWS4qSG2BZl69B\nny+OY8SIHSUiZtYry2r57BxnDhS5VgqEOSvkJzDyY6o8Zi/DTbgQRajWauIEkydIPGuyCbkk6XMs\nX9SDV56/BscduRBX//dGACRWKdOBBHj/m05HrV4353jtRWsxODyOSy9J4lQpE2TYUgFEajdNfa+l\nhE6FKDFw6LTfeZjRYAIj039jJVk3kZQZA/6h22R2N2FppOzY0i5TL6E4FwkISVIM/C6TkRPWLG7c\nSJAXnLYKLzhtVe720uW5ceBuzKj+L8TqSaCDg1peTzI5LmKulhq02T3FQiSyhdyoIiUDKnI2txEz\nmummi0zR4+AMU0PmGLICLLH3HjNKNhvN21IZFA7wtWu4H9clXDhjRkP3xs7D2WISGAViRrVsWLsE\n9z22C0ekycRC8W8zhhkN3L0sFi6PQWvZoh5c9qoTsDanEWumy1Q9L9KaY9bkKTljWOoCOaOFu8xL\n87puw+fWZkUiHLghLWtNzhMz6ta6T/Vq+F5YLzyjsUcTJxjcMJaksyOW9zq1xfMYeXhIjhSi0Uhm\nSGj8wRWu+Eoxo46bbiyUSUFa2kWDuJi4+3JGM2Adsue2wEG7/2qrtE1gBMJWxk58KI0Z5XGbPHOv\njhF1S7u49wJKJzlKziWDQVYPVAltBMAqsQCcGW0IWLUCxazZtE2xEOGKd1+A047pAyADHqv0uf24\nhIg7Fs0qKKXwivPXYN2qBbhoQ1Jb8az1y+yFZkipGDkxpYvnd+HyN56KZYuS7Hp0Mpvbnbi+SEBF\nW5jHUvcMOsEor03CvoaYUcsuN27TzBoguahMh8VRch+eKnGfJ/m7RmBUJ2WYqDvtwZaaUP7IZxD9\nxZYnexCZUQp4ooiBUXeuAJL3QFIsOJjiiX94GwX399TNi54S4f9mYabJP1fW8bxrh3E1YNTu7Ooo\nONeu5whR0WL3nrv3RuzB5mCeXoveR8erLf1Zl7lsYbf532RjzXFv8mS0zSrtIsmfvOJ4XP67p+Ck\noxenx2T3O1PAaNY8lWzI3+WdSk/rX4r5zK1ztkqrmPRQN3x+y5O9vtXC9VEqHjMqeHToNkevnDep\ncfC6wlrE9YAhLmnODhtL0w5YzGheyZvoSPIECgl3Y5YS4zUcW65WbQkKtWrGcWzYQOrfzdkcEbDG\ncWKVNm1Shoqlg7dJj3zLD09gVK/XTTyoBg7jFVraJUlgVKvH6Chapcv44xM3Xe8aDOtpgSZPTuBM\nUspm25UAIr8fCgKIhGC5l4Cmw5r5mS4lKzzgW9A4YO3pKnmKoduvq9BJSqAHnoXuXnTmapx74goT\nwD+Z5YVeg+5PioHQgNaAUWcSSvro7ixi/1gVo2WpjSx5mNFgAiPzXTbS5CzEgVgczz9xBXYOjJpt\n6/Y35admVlf+bMuLI5fuziI+8KbTsWheZ7DddBVtVKPC66ZJCciCi71w74pFF/BI3goFNseI2RsL\nPMmRHafdybdVeqx7nJSsKPRz51Hu87goF4Q2c7pLMhgVxhiKGZXmZOnc9BoKkXvfueWfHv/Fv3ie\ne369VmlGOHBvNIiuBVBjVmkXSTo7Co7rYt/8JGnYxaeu9NrOFDddLbw+KOCvb3lyCbRFlpDhpJll\nURuuJWaM/y60309fdl7+k0xC+g9fgJ/e+TTOO9F37zXlX5gu7npiJBvaIJTsyz7fbz/vKOzYO+p/\nwYC5/l9MaKf4/OePh4/BKdVHMIVz8pwSCr2azKsWypyft9s2GG2B8GQpkmXUxoy6CY3oxKFrfQIa\nwCb7eTr4yDkmAyBGiSJWT2NGI6VMP27MKFJX3uQYPeQqa+P0zcCy3mdKu1g8TUq7pMfFQCy8vEiP\nCyknuiN3l19DVEpqJLGw3KUPIOdT/nG5FDqmYEoKZyhugArNJDeZiUJy0+3t8a3InR4z6rvpcmY0\nZDXTQw4zo8lnHgCn20rrqf6uN71nNBX7VMkfvtSNrzy9vw+bnx7A6ccunfJzC3jFbmfsl+SowyZn\nFT6YMl6tefu8EigC68vdoHjsJ9+XuNcKbUg3hYJywWkGeyrHlYLsY9lh089SIRtkI8cck8ft0cxV\ngcQllhllYJS00e+eZAjg80XIbY0Dc5kZded/ndXRsCbk9+dKNTcI50lgpBP7SWKTpmS7D2ZJR6mA\nL19+sXPMisU9eG73yCFrLOLircACMGh0TFsai6RPTER/OPGoRXjdxWtxyjqhvArrl6rAC3sPzPO6\nYd0S/N1bzsLyRd3ed/xdDCUpKxULOPWYPvzq17sxpytbb3jpOUeK+808LszJZlPQJwF5juS/n5Tt\nnYa7NSNBMNpcV44E9cCcg2yD0RaIy4ySRCb6IYph4jb1Ty5l3ozjOInRTDuyCYxSqywv7ULLyBg3\n3di0iSKFcqWOuB6nLmtJG5uV14JIHa8queSafcziaxddGFCbXrkZjynToJLr0i66CjLrGVROAM+V\niwNYLX42TPf7rOOsm56vdHFlTQZFrtInub7xdzOPG8NkLMT0GiwY9WtJ+kDTv3bOngZdOJQ+f2P2\nNJ+SnIpg3tXHv+Vl6/HDW7fg1c87uuE5Wy0vOG0VTl67BEvmt6Y0SkiCbEnGojbTJBQrlHzPMxyq\ntE32Yi8pLaWiy2iWBFBUiCInd4CtYQfnODnuyj3XWMVXajjIllgl18UVouRy080Bymg/c7tKzpym\nyyBkxeQ752SeJ04Gb3YRUsxoIYqcc3eY0gVuAjhZOGsSuG5WH1USHdYgeT3lEf48/80fnI49+8pY\nMHdmgFHj2NJECaw2M9q8hN7fUD1QLkopvOSs1Rnf2Ta65wMtSilTz52Lnme452DWO/n2VyWZevO6\nsfJxADzkgLURQjLosc53GUDW/X9i91vHqIsGhkm8a0opvPL8NSY0jEpeT7E2GG2BUM+dGDZpD/0R\naNkWegx1gdVJhOyknXxqN10eM0oZVinjrWVGk341qNWMQpIsIzlHrV73XJ50P5Z1tfvouXRfSb1S\nPWaXzVVIXqTYHiDHgzK3BSnWs2E2XeUrOaIrb4MahHzbTjrIFJ5sR2ItvJjRKfbrpAqZdr2ZR5jR\nI5f3orenw4sZlVxBeZuQspcVSyG2bYytTKPQNLx4fhcuvWTyGWEnIkop9C3wrbRTcy77v5ScC8h3\n3w9lOfGoRbjolJWOm5bPINIJJfkIZSuU4gc5+2ZLAlAwqpx1wNaldI+TjFL0/B2lCNEYGZuQwAiK\nXYOZY7xdVnKUHcqKGXXaaGaUnL+7s4Bx4jLd1eknEcoyBPBzddDMjew7KZsuf8Y1IKyZbPDZkzUv\n7RJSxrRxIY+bbszW5IlKV0cRhy2ZOSoaN+Lm0X3bWLR5kR95hVYCRj+pYMu6bono+cmLGc14oCKl\nEE0wd4JlNOm+jPMEPPZsnhEfsOr8L35pl+bGumSBX781j3zmHecHk6wBwCsyyt61mdEDKO6PFHvW\nmCS2kwJPP/7S1t/0gWYh5KabFcdJwGicntvLpqss+KzVdDZd99oUzabLkyURjyVDAqcMsHEJJkqK\nBqwKcQYz6rvciuwl3aXS64Cb2MZPciS/4HQboBY0//y+NdAXHX/EYxjdsgv+WBrJZBZlqpDNFZjR\nP3zpcVjVNxdf/9lmABZougNIPppy080A+HLbwD01k3Qi023hOxjC4wwlmenMaCGK8KYX9zv7ikUK\ngOT3lwOUhswoy4IrMnQFBdRom8jrp1iQM3hzN1Ppt3WvKyMRkjCfhc7FRQnXzqXA5kl9Ltqv9p6g\nbbSrachNVymgq+QnTdMiZTHmoplR7U4bSrDG55GQkdEot7UcbrpCabfP/Ol5XsbJWSdct8gxP830\nOWwqJHjPWrx2SiFb00G4PuyRBC0U3WXY68T9tPtdPRWQx6jBqJmbTQKj5i+I12815w90NZnkYHnv\neTubbguEvoi0tIuXnEgFgB3ZVoBx7QWE0i4EwGYmMIoSxadWt6VdtHV33CntkhxXrcVpzCgDg4RV\n5BbfmuOma8ekYBdmzeYqlcRCJeVf4NwLI8pXTkRmtJEiBnac8icK3sZMKGafr3T5zIE/AfNJT7dV\n7LrcY7xuPJnIpGP6p2663X7MqP6WA033/IkcmxbJ1gXH87i1hJRbW5sz0IFiny2U+XM7DsmYrBAW\nldK+zxZxn0de2kWlbdgcJ8Tk0EeWx4waUMSOo/c7TwIjqaQIjdFPxpwITxQmhg/k0EHDzKhuE1Cq\nMgArHU+3SWBkv9fzjXZhXzwv+eQxtE5MExtGUbinXEzMaGq4zVO+yM7VARDO1jxJDDMquOnOn9uJ\nnkA82myU8PM6e+ewyYr0/rb6Ph4qBmKecXdKvIVUjr4DbXhiNqkXvY5xZrSVOlEgHH5S0mZGD6Bw\n+toEFxMXXNdNN85MPBQ5wM5NwmCAHXmgLUBMx0KUe+Omq0u76LiXqo09peC4EAmJf5QQM8rGB5J0\ngxfzrlJmFO6kRd0PzD6mnDSKGaWJhkw/ioNTyU1XTgKiWRNF+qXH0OuXhLOnUoY0D/BP0o21GdGA\ns4u4w+nx6H2hkjUXnbISyxb14JhV8wG4jA0XbiiRRKoZ6p2bfbYyU+6n337elIDcqRYp9tDIBGPW\nZoL4pV180BZmRgVGk8WMGtbTSVgUOaVmCgKLx+dXnVCHx6dL8xuPhZUW+Dy/d9B6LwBxLgUTC8vn\nU/u/TmC0b38FgJtpcdmiHrz3jadixeIevx/lGkO5AU5nMQ8pN5YZdb2KJLHxc+5cLYm+7mqAGdXP\nnldnvC0AfOASVFLztGnLQRNruEo+pykW9RMYTcHzJOmKzbRJnvHY0xmp8Hj+VtY0f9UFa/Crx3eb\n8IpWS95psA1GWyAOMwrfNUC30e6kAI1XSb+vuwtYjNhYKvQiV2OlXZJ+k0/rykvKthBmNHHT5XVG\nXWDHrfKAa/GngJlft+Ouoazi4ABNpZwswcn1WxCpwB5cDhjNOEkT0g+9Di+BkWBw58fo69XH0G16\nXNClFO7xktXdc4XO7I20adEkKk14+l9aq1Q4EkByHccfucjsLQZ826SM0Vz0oxAG+OmYpwA1Hqpx\nlUyHd8Tc00P02iYjtOxSxNwvzDudixm1+0rFyHlftFGPlmQqRgoVCmAFSzyfbzWLp3eVij6AtbGW\nNIGRDAQnq9xbz4/GgLXMXPlpv1qpeXrHEABg1dK5TttjDl/g9Qf48yAfhrnvgcsssQRGecpc5DFy\nFVkMWujc0vrfFsEjKNB2ojFxbQlLy0Aj0yMORp3RPMJjRlv5PCUQkuiTOQzqUpsoAlAjYxO6kfIU\nJG0nf0EvP28NXn7emkn3kyVtZvQAisOMCq6zAEzcpv7fi/UU2AxTlDtHaRdtZS9XaqZNQZGYUWUV\nJJ3AKFIcjAoW70h5YyywZA4KhGGtJ9lyuVuZUpoZTV7frAxkvrut0I/AdoRiTRW/rgyllO6zMaRu\nQhR6TknMpGdOJYA/D43me1nf9JJ+LFvoZyvLK43OEnIjyxpiqOYqt0pKImWVzh6EPiZH2xku3J2d\nSh62eaZKiSf6EVz6uesmT0QEuM+s7yIrJzCi3UolYni/nSWXhdVgRvrdikKZJX5dObBosI00J3PR\n92dUcOXXorPpnnPCcmx+ZhAvPfuIzLb89wpJMYOVpaIBfjVHAiNz2hzzir7u521YiTsf2YHXXrzW\nHx9jRnOcepZJqv+AWQEEaSbjblsaS6vvojGA6R3TZE1+yZmrMVKumG1jEA+wjhOVJAdKbObfcAm7\nbEMfzy8i9aL7lipQTHfJa6hog9EWiItFY49BTNqkpV0IaANo/KXLeupyK4C1ynJrbwI0kzbaPals\nMqEmfceAycLFmdEocpWTKBISCCk7xnpduwm710DBXoo1vVjCBLBqZjQ2L1ExUiibRr4LbqOEHxAm\ngsg7LgG/2pJl2AYhmy4Hk6EERiF3Vjv5wPn0x59fLtrgF0TPK1949wWZk6V+Hk7vX4p7Nu/E80/x\nz5MJRgMTMI/XkCSPy5ZxCdLHZLacPeK+JvK9m416nMuMyrGV3HVTys5K7x2fy0pFX7EosHhQ7u5P\nx6Sls+Rmne0Q3FC163wplOnRzDGNf/Bc71kOY9toOQGjUrFzPeYLTz4Mpx7TJ9Y01nLYEmtc46fl\n4yjkYEa5m264tIs+T7q+BZQm/czMn9OBv3vLWWKbYpsZDYpiE3iu53XqhjM7pUWLJ8+NMV0SGL3u\n+a6RiOdmAYDzTljueWtMRJRWKJnOl9kWsj7L8xRI/XAj6fojF+GOR3bgtP6+iQ3+AEq1QRZeLW0w\n2gJxkH/sp4y3dTwVOSZtw5lR6hab7jOZaQkYLRYijFfrpg5oB2dGlXVVrVTrKHUWxWy6PKGGpzw5\nbrrumOl168NszKjwYirLjEJ4ORXcBUpBKu3CEnwIYA/g2SbtuaibleQiVmA3IFSUOAbw3jeeiv+9\n62nctWmnGR9tK01UB0NHmdOVncpbJ7QqFSNc9qoTxTZZgOdAMqOdqZLb09metkLZdPn8M5vErY3L\nYhCNt0P2fZEs0F5d0ox4UBfAusqDFreMSwpGzTF+v+eduML5jn9Pj8/zDgXLUuWIq9Jt9HiWCp4a\nOmZUKRUEogBwxPJe8z/9fWr12Jtz7P3JHh/PppsnwZrBSAGdKc+7FPJyaosVy9LnMVJO/XhmhbT4\nPnKj+3SVizYchq/9dDPOOd6W//qjl61vSd8m1jPdDs2tVAeV+wl73kVsXbrgpBU4cnkvVvVNHlRP\ntTQqCaOlrdW1QCjAiUESGJCnSsdt6gU2qyRLpOjiyJIB1ewxnaUI49UaOksFRJF1d9LMaKSUE0eq\nImVYLBoz2ogZLSjqpuuOmceD6utQ6baTnEjZUjMoZL+cQfdaSIA147hMRjO2DAmL5wKs9V1S6KXJ\n4pjDF+DwpXMNGLVMqDvB8Nhcfk0HQ973+6fhzkd24KjD5gXbbN8zkqmMhZQ9nfAqpPznUdz0U3bJ\nWauxe99Y0O1vtkgAi+aKw52pwhMYUTEGpwBbJgGyEjO4FIUkRwU2d2Yl+qHbncal1BqDgMRwtLC3\nE8cfucjUrXXBqHxh+Yw+gWvXc1UOsP6Ss1ZjeLSCS4R3MRx77srKJb4y1VEqYLRcRZWld8xT2qXk\nuek2fgfysDvNvEsXbTgMm58ewEWCh8lsFnMHcxggZ/Mc1go587il6BEM0HGLqFH9qyxdmMxPK5fM\naUm/rZaLT12FM9cvCxrjJyq+F1zgWWWeclS4N47UC2dGlVJYvaxXaDn9JBRnT6UNRlsg1C1HKrei\nk/boBzEm7Cl3eeVsKgAvC66KkgW7UqknNfCUQimNP7Ixo/blqNbqScxoupjbiZ65qCnlxTPS8i88\nGJzWNFXk2vT/xWKEmnYbRqIoVmsxSkX7cHqJhtib6CkTDGjqk/n9+CDSBor7x3CFTor79SYSAUhl\nl3bxhnzQZe3K+Vi7cv6k2oTc4GwCo1Dh+cZKsn5XerpK+OOXHx8a7qyRcDbdJuJwZ5jkSfQTSrqV\nJ2ZUZ5B2mFFWQ7TIYkbNvOAwo27YhK5DWSpG+OTbz3VG716XK1JcepaEeMJmmNE5XSX8wUuOFdvQ\nTN2NhAN9IGE3R8vAeMUFo1lxuPxYIF+dUSNpfwvSWnoLe/1STyHW432Xnomt2/eZ7bOPX45T1vUZ\nT462pMKX8iAanb1zWCvkbb91grPd6uR/+re75KzV6Oks4mzCPE43mQogClAwmnyGY0aTTzlmVLfJ\nnsfFTOuHiIRqM1Npg9EWiOuXE2+htgAAIABJREFUbrPgOomG0my6JmbUS2BEt5N+tBJumFESV1oq\nRihXauiKC1CRsjGjFct66ge4WotTpjQbaOp+PeyXnguwSpNUc41fB5AocWVdCV7BAOakH/nlalza\nRWaFeEkAyU3XZMpl23SfVlRjAYxmuVE4mXozJhbJXZAfcyhKkBnN5aabfIYIjFAA/BHLe7F/tJL5\n/UyVIHhPP2elm24g0Y8xXAUAilgfNIsZ5YY8yowaN124n+TUmhmtVF1mlPedfOca24TLylU0PE9c\nU2g+4mEMkjT73L3++Wvx0BN7jPu9Beluxl5930O98zqjeRIYaVmyoBvv+73TsHyx73ocUgLPOXEF\ndi53Gd42EM0W46abp82hvDhOQ2lVaKf+WUrFAn7j9MNb0+khJp4eFwKj6Wewzmi6rWsxryDzUEHw\nxjlUpM2MHkCJU/BZiBSqNZtUyC5gSVIjrdTQJEc0GRFgQeR4te7FX2rXI6UUOooFDI1UUK8n5+ko\n+jGj3MWUMwLcTZe7mgHJw19iiY+KJn2+kE1Xx4TCZ81KxN04y1WWMz6e4qjkOqOc5ZTcdLnrbEFw\nfbPMKJxt2g8Xzi7Ttg4ra9rI/RyKEnTBnWQCowtOWoHbHtoezPL7f//g9FmZ0Cioo+VICjVTpRRw\nZ43MXJENUKgblBZucCkW/DaKGfI4YJXKpmjgVKn5YJSLNFdljV2SPHHEueqUTsHk9eIzV+PFZ642\n2zYzPHfTTc4det+1UdYacnNcE2mydpXsBXIoMhLTTTQ7lysetB0z2lpp8X2cijJrh5pQT8dkO2To\nc/VL6Tv9efyaRfiTVxyPY49YaM8leOwcKpIXjLaTj7dAeCr3uuBiUo8Ty4mBp0w5sCxSYlXX9UEB\nwoyaxENJWYBKtYY4jhMXXJZNN4qU52LqMaMc/EVCAiNFwWcKRg3jmioLBPzVaiRTLnMto8pWlqVI\nirGiexRrI/UTKQ5OmfKo/GP0f9w4IDGjWnT8heuCq9in7j+7n0NZQi4ltTo3yvgSs3eHypt/8zj8\n818+LwgeuAFjtkguZnT23ZZc4CPUxi76dp8XM2pqvrnHSsyoYkqEW9olAV3aHZW7AzvjysVoCopO\n+hmzts2eQ0vIsPTai4/Gay8+umEfjaTD3BfGjOp62zlqff7hS4/DMavm4/UvWDfp8QBh1qMtOSXw\nvnBpx4y2Vk4+ejEA4IgWxRm2fxYAxrjS2Ohu9FTJTdd446RtlcJZ65dh/hyb/K2zFKHIMrZPd9G5\nSHTeg0YyYWa0v7//bgCD6eYWAB8F8K8A6gAe3LRp02UT7ftQEz8ZUbLfxIyabLrpAbGf5Ij2UYgU\najXBTbemS7Ik2XOrtTiJB3XcdG2MpgO2IuWXNOClXZS/QBQiv2ZokaXPV4BhZitphl+AgU/i7msO\nAgd7sssrzYKr2Bg1yOOlXEKAlQNPaTxSSvAsVVGq+agPi4QagIfShDIR0b9XLUcSEa10rFu1AN2d\nRbzivCOd72cScG+l5HFrPhStqJOVUHZn/d7lyabrJDDymFE5q6ub0Mh1KZViUY07ag5mlIr/SrjK\njPdVDP0n7Kabnn6iWWUvOas1icX0WsbBqAb4oeyMeh06fOlcvPf3Tst1vlyxtrPvVWq5WEO8TdaY\nJe06o62VN//mcbjw5MMctm0yMt1/l5888XMcvWAN1i5YM2XnMMyo2Q7cE4EA0WLcdAPHv/bitdiz\nr5z5/XSUP3/dyXh86z4cu3pBrvYTAqP9/f2dALBp06bnk33XAnjfpk2bburv7/9if3//b23atOna\nifR/qAll0ZLkRL4yGJtsuukxbEKmCYwKUZQwoyaBkau0RATYjY3XZDddIR5UKvbuF25323ggEjo+\nylVaOkgCpTmpWyVntPQYgSwQKb/QTlZeyCwaB4RySRZ7TbpffjxPziQyrF5iFNIPn1iESYhf4nSf\n2JuVQqRQgcv2Z4l+V7o7i/inP7vwAIxuZkg+BXpmPVd5JMQuGoNTiIGMhLmBzVHFjHqXTsgDy8ot\nZVw02XRTjxepZqckXqxSxn752OzvJsuMtkqy3XRzMKOl5p298lyRHlNbJi78Ps+0dW86S2epgPVH\nLmpZf9P5p9s9uhc/ePx/AAD/9Px/mLLz2HrzqeEkVDZLmP/5d6F7umbFPKxZMcGBHiTp6SrhhKMW\n524/UWb0ZABz+vv7fwKgAOD9AE7dtGnTTen3PwbwQgCzCoxGkUriQb2Y0dRNV9P68N10aYmLYkGh\nVq+T0i6uYqOZUQAYq9TQ01n0kgzROqPJMX7sE0+6oUGm0yZS3nFKJX3pc0EpcbGmSTeSbf9tdZMI\nKdFyxGNfpZhRDvY4K0vbiMwo26d/DwqoQ3qYBufGPZfsp2Pg/89E8Vyd0+ent2dqstrNRgmzCsnn\nDH/MRAmxi3r+DbnpGkYzxJ5qN92AIa1o5hHXMCmBUZ2oJzczyrcDVncF5ZRzCGbKPUgxo1yMm66X\nwKgxMzoRA0xoPv7gpWdgy3P7sGheV9P9tmXikiexXVsOnkzntaVSHz8g59H3IDa6Yp75U+qnMTM6\nG2SiYHQEwCc3bdr05f7+/nVIwCe9k0MAwjUjZpDYMiCR6IKr20QRzBNcZ/F09boLIqu12AIiIdaz\nk8SIzu0qeoqMzw5mZNOluC7ywSBlYalQMKpgFQh63aGYUdFtQXGG02cpFBiwSz85qJXiU002RoEh\nMfsCbrp+CQ37b6QUanHsgU9rEYOzPZPFxA8To8w//ul56O60081fvGEDrrvrGZyybslBGeOhLlnx\ngTFmd7xVKLuzfcdzlHYJ3DvNvnIPCcfLhLF41k3XtucJjEIuxlSylBZpt0ofijxJNkxZscC5DwQz\n2sHKlJlzm3uar1RAK+SI5b04YvmhUc9v2othkpJN6Vnkc9i0Rj1tmZYSqhfcStFPpp+wVGgb0P/0\nmjDbH/WJgtHNAB4DgE2bNj3a39+/G8Cp5PteAAONOlm4sAfF4sFxf+nra90CU+rQKekLiAHMnZtY\nUef0JAHI3d0diGOgo6NoinJ3pop5b2/StqMjYY3mzOlAV1oXSaVgcdnSec75ens7MW+saraLxQKW\nL3PbLFzYg7lzhs12Z0cRy1k/ixfNQU+PDZKe09OBJawI+bKlvdg6MObsW7KkFx2lpBZcMuZOryh7\nX18verotE9bb24Uy0SFKpQL6+nrR1WnbLFzYA5B+OjuL6OvrdZS0RYvnYJwogT09Hejr60UnKbS+\ndGkvBsj9mTu3M2mT3vMoitDX14sa0QznzetGX18v5s5JaszFcfKMdPZYK9vChT3Jdel7ll5n0mfi\nSty3pBfz5nSYNnp8esxR5D97c+d0Tvh5bOVzPFH5zsdfBsAyPdoQ0NFRNOPj47yorxcXndGaGLPZ\nKKNl+3zre6vZef3MFci7NR2ekyxp5dgiMg9479ncLvT19WKMzEO8TW9v8i5uJ/E5vI2eB+YRtqyv\nr9cBTwsXJPNJRzqeYjHy2qxcMR/dnUVUqokyM7+3K9e94L93d/p795ASR7QNYJ+JofG610bL/PnJ\nmOdt3ZfZZunSeVMOSBfMSxJeVKqxc/6+JXPR19eLbrJm6e8PWzIHg8PlCT1Len2YjEzn92u6SEda\n7qaYrv30Xciaw0pd2e9hW1oree7v2159EjY+uQfLl01frml/cdD8P5XPjDaOdXaV0NfXi/1VC4L9\ndSWZWxfuHvHaaN110cI5s/oZnygYfTOAkwBc1t/ffxiAeQB+2t/f/7xNmzb9AsAlAH7eqJO9e0ca\nNZkS6evrxc6dQy3rbzRVArSFZHBwFAAwPp7sHxkZR70eo16rQ6uQI6MJyBkdST73p59jYxXUU0v5\n6GgFSins2jXsxE2O7B9HjbgwxXGMoX2jzpiG9o2hXLbKSa1aw969+502AwMjKBPQNl6uYu8et83u\n3cMYGXbB6O5dw46FZ2Sk7LBecRxj584hxMSdamh4DJVxdzw7dw451zEwMIKh/Rb8jY9XsXPnkMM/\n7N2zH0P77HhGRytJP6Sw7q5dwxgesm327x/Hzp1DJgGRHt8g6Wd4aAw7dw6hnCr59XodO3cOOUr/\n4OAodu4cMr8d0n4AayXbu2cY5ZESxsaSax0bS8Y3YJ515T17+0fKE3oeW/0ct0p++3lH48ofPowz\njlkyLcc3E4QqcvYeJ7zC/v3J8zRI3qXp+ju0+hkeJoCM9zuS3pd9gyOZbcbS+WQfmU+z+tm/v+y0\nqZI5aCSdc/RcEddjr82+wREMK2X2VSu1XPdCt9HeGMPDyXjGxqteG00SjIwk4xkYyL72fen8ptcv\n2uYjbz0Lu/eNYc/uYUy16DWhnM7/Wob2jWLnziKGhtz7DgAf/qMzzbzerOjfc6IyXefh6SbVdM6q\npL+rCfNB9hy27xCYw2aC5H2GzzxmCc6c5uv6jkELRqdynFrfHx1N5tbBwNyqdUequ+o2Wt8fGBjB\nzu6ZXW0zBLYneuVfBvCV/v7+G5F4VFwKYDeAq/r7+0sAHgHwnQn2fciJddOVXXBjJLVHKQ2vPY2M\naxRxC9X9VGp15k9u21C32Ej5GW8j5buYcot2FCkn6JrHkCqlExj57DXvq9Nx000+XTddPkbJBVfO\ngsuTCPExSuNxY0bT8RSZy2wom27dbxPw0jUxZl5JF+62OwuKKZ1z/HKctX7ZrHQTPVAikVNkiki2\nD9hopo8ES7vkcNMNJZrg5/CTvdn/s0pE0WP48XljRs3xqYGS1qjOklwxeIHvViyegxWL5zQ1vonK\nb5y2Cndt3IHff3G/s5+7PtPhRsliNbETtuepgyIht/K2tGWiUq1XGjdqgdhKGMl2uM5zdoZ7JawN\ns1EmBEY3bdpUBfAm4auLJjWaQ1RoAiOAxIySBy8p7WITBPH05rQmo8meW60b8JLEkcIc00myBibg\nlMeM8gRGyuyz52LKEcumq/8vFn2li8dmdQgJjKhi6CcV0uf0x80b8Xqg0jvPEyhJMaMaDOu1jgNh\ngGbB9LPpmqxn/ulJpl63Lc+UNluC1Gf7xDrVkgd4zMafIBQzaktlZd8Y/f6HFIusOqNOAqO0DV8b\npN/kr96wAdfe8gQu2nBY5jkB4CVnrsaT263FXZ8vVM/XrDc5SrtMF1k0rwv/8H/O9faX2NzcqmRK\n0/+OzCzJU/PWhP21f5y2NCnj9WrjNrVx/OvD38DzD79gwuVfsnR5SUK1v/Nk050NMrM54QMkXmZc\nbQ0nAfsxeHZdGcBGkVWIKDPKa4ZStjJSCWjS8Ra6vQgsCxFq9bQWqXKz50a87mh6Tqlcggs0lQOO\nlWnjHtcwm65ymUP9DQWsSRufrezq4GCUbBtQnVrWhfqXHESaySOnwmNK1WQwozyRUVvaMhnJZBVw\naAGPVksonpFndw4dH2ZG5Yy79H6bmphsbZB+k+OOXITjcpRdeN3z1zrbnvFTHLJLNYUeCZPtfZoy\nU5rR5kmhJiuz8DU5KOKVJMphPGlLW5qVLGb07u33Y+v+bXj5US/GXdvvw/07H8T9Ox+ccPkXk8Bu\nksxonjqjs0FmgdPg1AtfHGvMGi49iNyaTV17dT/Val0s1B4plwnV7rUdRdd11z0m+aQgktcZjRSr\nTRq5II5KgWXK7ZDAH2dPnTqj7jnoGFg3HoPpZtNN/vfAqJApV++rpj64BQfkusyoNJ48mSj9NN1s\nv2Dqlfa1pS0hkRcud3GcjWtbmDFuDGIk4x+XQoabLhVehmQqPAX0EDn7KkqObLq26fQEAvr6ulIv\nmAW9nS3pd7YrgQdSVM8gdi6+AYPlfRmrnjuHaY+nLG+GW7b+Eg/serjl42zLoSuVDGb0Kw99Hf/z\nxHWo1WuoxZPPyK2njXqOuTWUQZp71c1WaTOjLRCf5Uz2W6CZbFPmMotNTUCkddPVbCJnAzsLBNhp\nBrMYmcQmPoMogNqI1RllpV70+CVmlO/r7PCBJgeExQalXZTKelkDbZR/fiDDTTfdV61qhkR5bfKk\n59ZCGQTOhFpGlH22qdG2tEDCLpmJTJQ52jW6G3vHBrBu4dETHN30FD1Ph9x09TdxgB4s5gj81sY6\nqURUq4TXRBbNE2xnqH6qlp40C/N0c7XX9/CFZxyOwf3jeNEZhx/kEbWlGVEK6Fh3L8qdY/ifJ36O\n1/e/UmwD2Dmss1TA3775jEzDwzUbvwsAE2a32jLzpFILx4yWa+OIGhAAA+VB9BR70FHIro1Oc8IA\nk48Zne1GsTYYbYFwt1yTUCJyv4+UTRhkanSmz1+NxJkaN91q3cRicmaUgi0DGum+SDnMn34JKKOZ\nJDkC2WbgVLOpQg1TR6FTQIdUi5TFmroA0QfHCqohgE6uxTk1AKCrw32UuRsxYMGxXEMU3j4u5t4I\nTTijojgjKsSM/dFLj8NX/2cjzjxuaeY529KWvGIerVST6+oo4k0v7seqvrlZh4jywds+AQD4/EUf\nQyE6OKW3JiLVehVD49nZXq0HS2MwWatng1Fei1hso910BWb0L9+wAXPTsldD48O46dnbcPHhF6C7\n2OV3FBA9p+ga1UFWOP3M4wp1wlGL8KoL1uC0/uk1L+k5vbuz6CU3akYq9Sru3HYPUKgAtZLnDTPd\npVqvohgdeqqbAqBU8iRWM9grPocBwOplcgbOkMGoLbNXsphRLeVaGUplz4R7xwbwgVs/imMXrsM7\nTnlrdkfacJLDTTfEnoZykcwmOfRmtGko3OrhZdd1MuUmL4FOw29ce2s2CFpb3mPSp8NYRjybbvLZ\nwQBqIzddpZTjIurFmWbEjCoo5qar3ARC5lyBbLqGMWRA03HBTaQQGLP+l7vpSooZB9U6oVTy8yiz\nL0tChivjasHa8phROq7zTlyB805ckd1pW9rSjBhWwSppF52ycsLdVerVQwqMfuG+K/HYwBagdBFQ\n8YFdLnfWVEJgVIPAONCmGIhvXE/iQ/9j43dx/66HMFIZxWuOeUXDcVHhmb/Fsep/jOt24NrJXPXy\n89Y0NZaplMt/9xQ8uW0Ic7qyWYpmZOOezfj6xu/gkpe8GNs2L8E5xy9vSb8HQjbueRRfuO9KvHn9\n7+D05acc7OFMWDJdwYU5LEtqca1hm7ZMjQyWh9BZKKGrSQPagZBKg2y6CRjNngefGd4KANi499Fg\nP7oPm8Co8boiNSkIRMVslDYYbYHUSXZawI8HpdsatI2NJxOp3h5P3WsjwowCMmMX8YRBxk3XLa8i\ns4wuW0pfAG9bYFy1FJlCR8Gx/qbIwCfP+JuMx+3HMVhlsJVudt3kf+6m67RPm0vuxkmW4piAxsxu\nhAksdr5TpI3/2bj/trRlMtLqBDRTreztGduLnvHWgd3HBrYAAKLOUdQJGNUGJ8pkfuStZ6FHAjfp\n+1nPxYxmj8VjRjNe/B2juwAAe8sD2Z1lCF9fRGGnzYFFp0S2Dm/DcGU/jpmA63f/6oXoX73QbI/X\nKvjZUzfg3BVnYGHXgqb7G60mtf7mzgXe8dsnNX38wZTrn74ZAPCzp35x6IFRpRDHKk2pJT+zzcxh\njUBHW6ZO3nfL36EYFfG5iz56sIfiSSNmdKxWRj2wtu2vjGR+R0VP6aF4UC2h8lt5yonNBmknMGqB\n1GM4dc4yS70oC9o0M6rdSzU49RlN7f7JS7kUvDbcdZfHhwIuQIwUB7kWVNFjChFLsaP85ES8tEpy\nLpflLLGkR/QcgB8PaphRFjPaIZSI4cyoIzqhkpjNN3LOFYqpsuynNKH499L99JnRtrSlpdLiR6ta\nnzowWqvX8De3fgzv+u8Ptrzvv3z9qfjCuy8w2xKDuGLxHMyf05HZx5HLe7F0QTd+5zfWed+ZxEEh\nN13uFZPx2xBzVmZfWcIT5DVzzETl3h0P4PHBJ5o+7iN3/CM+d+8/T+rcWm545mb895af4coHvjah\n47WLaLlWbsl4DqToMXcVW5O86WBJ1jN72atOwOJ5nfiN01Y17KMR6GjL1Ij+7bJcrQ+20Gy60nNW\nro4Hn52RnGCUM6OhHA0xwQBePxNgRkcqIzPOTb0NRlsg9ThOyqKk25wZjQVmdLScKHoaRGlwqpTL\njOrnm7vcusAz+XRAWqREcETZScVjRLVLsHENtgCKAznO3pZYv4DPREpJhbx4UOeNdMej90jAs6uU\nTfLro7OYUTrmsJtu+Dsnr1KbGc0t39z0n/jR4z852MOYsNzy7C+xZfApZ99geR+e2vfMAR2HfrQm\ns0bVCACdSmVDs1P7ytkxnhOV7s6i49LJM5aHRN/DjlIBH3/bOXjh6X6SHG0IDN3n4gFIYJSHGTVM\nky73E+gvjzJ01YNfw6fv/n+5x8ilFQrUQHkfAGDH6M4JHV9hYPRHj/8EX3v4W5Me14GQMQ1GC4ce\nGKXPVxYzesJRi/HJt5+HJQu6ve9Gq2PO80MT1cw0xXw6y3QFoVrGCRiVvHvKtXLwGvZXR3Odh6+3\noVQEtrauP8k2W9rlod0b8Vc3/S1ueOaWXO0PFWmD0RZIrR4nyoah7TOY0Uihs0PHjKZuuh2u2y6N\nGQVkkKQUY0a1m27JBahuHc3kfx5XSnWkAgdO5OngrCYHdpFSXhIjnj1Xqv3JXYmlpEIOYFUKXZ1F\nr02YGRXGo8fNgj2DCYzYNl3/ePInnuvIL/nSFi03PnsrfvzEdQd7GBOS0eoortn0XXzq7iuc/e+/\n5SP4xF2fx3iDzH6tFP1oTaY0xwhZiGtxfqVjpDKCG5+5tWEmQy0ajAJAvck0+822V2wenqj8zR+c\njje9uB8L5iZAII8r77qViRvp2pXz5YZxY5DY6BzB6zJrkt6e+PxTawFTXm2B67dhGSboCqDdO8dq\nZTy8exN+/MR1uH3bXYcEoClXEzDaeQiB0ZHKKMZr48nvFTfP5gOJC/5f3vh/cd3TN5p9lN1qVUhB\nHMd4dO/j+K8tP2tJf6PVMXzh3ivxq50PtaS/6SDT3T2aAk3Ju2esVg6uU9pNd06xJ3gePZVaz8cQ\nM5oeQ/YNlAfxzU3fR12Vnf5CUo/r+H/3fwVA4qUyk6QNRlsgcT1OwAhcS7UfM2prbVZriULVxWJI\necyoddOFs69LcNPtZHVGeZwpAAZiGchljCj9zmdGfZazg7nqegmMGjCjCi5zqP/lzKgLetNrD8aM\nykxtch3KOVcwpkplt/FcjBn45O66bZkZkuXKqgHhgXIFjOMY6BkAEGMyZSJpvEwzbrrXbPwuvrn5\nP/Gzp27I1X6UgN6h8f25z3PVA1/DO65/bxAY1eIaHtz1CJ7c9zSA5pjRkKxZMc9JCBUC/YVI4aZn\nb8cFZ8zHO19zEl527pFiO9PDBOYFleO6XpGe97T+vqb751KujU+6j1awKoblzbhnQ+PD+Ow9X8LT\nQ1uDYyjXxvHLbXeb/ZMFNCEjyY6RXRhMGd3JyGgtMeJIbrpxHOOWrb8MZpQ+0BLHMf7qpg/i73/5\nj+kel6lvJFuHt2HX6G788rm7AAD/+9QvzHcUjLbC6PfL5+7GO2/4a3z23i/hv7f8DDtHdk+6zxue\nvgUb9z6KLz/09cw2cRzjsYEtTRl74jjGvz/ybVz/9M2o1Kv4+dM3YYwY+KZSprt7NAWa+p2m97Zc\nC7vpDleS9ain5LPzVPj8IxIZUXJeyU33PzZ+Dzc+exvGlz6Ic09YjkXzGieD2jtmcwuEys4citIG\noy2QehybzKyAFDMKs81jKzWIogCWJhnSANGN/3TBlz6PU+sz4jGjyaeTaIi76bLYU/pyeTVDndIu\n6flTZlZ3yev5lYRYz1ByIo0QC2yfw0Cmn0FmVDi/lla56frJn/Qx7rGzGYvuGNmFy37+Htyx7R6z\nj1rIDwVmgksjti1Lgb916524ZuN3WnbNd2y7B1h3C4qrNk8Gi2KkSsAoYUZHq6P48ZbrMpW+p9MM\nhNtH8rlOUmZ0z9je3OO7d2diDR6vZwOjar2GL/7qavzDXV8AkJNBTKUZz4UQCNwyvAXf2PQ9fPr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+tmQajGPuMGTIyxvDN1M+vOYAPqcR1f+tW/4lN3X4FdY0nMEo2vnKzIdcyymdFHdm/GJ+78\nnJdsgsYQ5ZULTz4M5xyfACLZzaz5sjK0H9dN111khsf3OyyqMTBMgBmVXJlHKqP4+19+Gh+/83PB\nfn6VZmWk1nDKtO4a3Y23vnw9VvbNwStT99WQQvPxOz+LK+67ytu/a3QPbnzmVgcgLFvYg6+89/k4\n54TlZl9h8VYUlj5pEq5MpfAwkMtv/hA+cOtHvVjW5/Zvx9UPXYOuVJHVCmGWYjheq4gMt5R59qN3\nfAbX/vrHeGj3RgAuKy1JK5hRrvD48ZT2udXK++a9vzbXROehMlE+K7WKVwe1Uq86BhFtrPHddP1n\nSjKk5PEcGK2O4ov3X43Lb/qQ2TdWdcGoVK9Vv49ZYOG6p2/Ep+/+J/z86ZtQSFmbrfu3oR7XnbFK\nDMvjKZNHM6EPpnPYIywhDxWHTUcVKlXWNVBbu2o+jlw+Tzw2FF88Xq8wZlS+5k17HssVOz8qeJbQ\n35QbBgB3DntmaCvef8tHHMOtE6dYHUMcx6bPelw3jFxZAJZZHjWjlVE8se8p870GJYAfGlCulc3v\nOpfEUeu18hfP3ub87nnfTdouy0Pinu33476dD+DLD/47AJsUaGcadxs6VoukDwzlSNLUyE13rFr2\n3Hbtd2PesZmivenqie66e2wP3vEaa5jU7+PcORE2rF3iHa7BqOPxUK85BmHAsuHPDW9DOX1m+nqS\n/mgMrTQHabfv5/Zvxx3b7sH1T99svrv21z/G+2/5CDbvfUy8PP2bNTOn7xlNdKyJ6HJtMNoCqcdu\n4p3sOqPKy3gL8KRGPAtu+inFf6bAcryqa5YWnTYOM2lKu7g/OW2j+9VglC6bRVaWRXLTBYCP/fHZ\nePdrTwYgZ69tJPQ6/z973xkgSVW1/VRXd3WenpxnZ2dzXjYvLDlLEgREERFE8UVEDKgICooBBHlV\nwACYUN8XFEUEJSg57QILm3Oe3dmZ3cmhc/p+VN3b59661d27y/v92vNnd7qrq25V3XvuCc95Dsu4\nVhNnlPl2XgvumyDO6PeuWYzbr1pUGLPlfDKYrpzdBQpOfqE213lsh0LGWagVLXxWG/GhtoxeUocr\no6kxJLMpZU+r/2sZTo4UjZBT5re0A7zqUKNquXyO16YxyIssqoi3XiL7oZLh5CjuWHEP1vdtEj5X\nKV3R0Uriz1v+ziPED6z5NTpHuz5w5mCnyH42l8Vv1/+Psun63e/ej5++L7a/SCkgToA94/nLtb/D\n116/nf/NSxSKGBhrezfgvlUPIZ5JCHNFtYkyo4VGblWGfLdVQ0XnFN08o5koJjZH8L1rlqChOmBd\nr7STLhtmP3jnv/HnrU9i29COor8zJq6FMX5TySwWF+ue8vk89ozsxepDaGRu6sq8zflUGeYrD6x2\nNHCppLJpfPnVW5VslxTOxq4hw8NLMTzS50rrWYtJPp8XjrNlwfKFWuB7Vj4gsJ2yTG0qZ2bS/rjp\nL9xxBsQMdjqXsRmtj27+G25+4w4+D53qDlVzivYw5WPPpfF61/Ki9Ysv7X0D6/s3CVDvRDYp6BV5\nTuXyOV6TryLzSWfT+LvV+mPPyF4evEnn0hhJjfIaQsAMvNh+X0Q3M53YNdaNG1+5RWCLtWVGLYKX\ncvTfoWRG04p7zuayuG/1Q0LNspMokSVkntH3yz6nOmzTwFYMJYd5Kxf593nkTQeafPbQ2j/gXzv/\nrSyxcNpLX973Bu5Z+QD6rB6oZ7Wfii/Pvw6AmgiHOZthg6KB8vwaNOtVLuEdfXdOuo09BxlpQJ+z\nKtiQyqaRyCTxyMbH8MT2f9q+HymjLlEkMLJgulnR+Uw7ZNWpjizlUHFTMW/+rz8+ALenoKdYUDSR\niysRQ0yn0XWdzqWFvSOVTXNIbnf0AB9rhfU+6TwpplPoHsuCAC/vfR0AsLF/K9b1bcQ7Pe/j/YNr\nOTRat5yGUk45zV73xvuxbXAHvvjKNw85C37UGf0AhLHpyk3IlTWjbjELCogOoklgZIfpqnuGmv9J\nZczJIsN0/arMqET0U19ViPCy8agymiJUVszeBnz22lBZynWMaOKQ1aCqmgFzmG66sFBa6kICHII9\nx3SxmlFd7I1aDKYrG04qBbOhfzMOxHr5+ZL5GN+cb/vUInzuwzMdz09lKDmMR7c8UXYj63Qug5vf\nuAP3vvdz8ukH442Wshfz+TxuefP7uH35jxyPoZs53YRUMN1ism90P77/9r3oiR7ESGqUbypOkfEx\nRVTvcKJ2y7vfwYFYL365ViR6oBkKpuTpOzsQ68VrXct5hPiDFjYnVQZNMpPEgVgv3ju4Bg+ue8QG\nedozuhfbhnYim8sim8vivQOrxchwTsxilCOpnDqrls/n8eC6R7BlcDs2D2zj7zrg8SOZTaI/Pogn\ntz/DjUpVv1JVJJ05CXSM8mYOSKye5P9OzpDsuDEjoNxnQZ91MSeQXT2Ty+Dulffj4fV/RDqbxj92\nPItb3viekImSRQ+MwjfvJbhCA4JBVcwoUcnO4d14fKtJaDNiOTTr+zfZjhMyo9mM8D72jXZjy8B2\n7vw5CTMO3+l5H99664e8pMBJNg9sw7ffuhPfWf4j/lvZGe0a68aa3g3ojh7A7pFO7pTJsnesi8P6\nmch1h9TBGUoOcYfy3Z5VGEwM8fcqBytUARVV3ejzu1/CY1v+jke3/M3xnjeR+r7C+ZNK1MJftv4D\n//3eLxBNx/j7UDl6lC3W43IL+nIoOSxkrFRwVlXWjEFOGarjmV0vIJPL4LEtT/Bj6Hqpirjh0q3s\ndBnrqFimLp1Li2tacWx/wu5U5/I57mz3xwfQb/2/FLKEOkEFZ7TwG4a6EYMb4j0mpL62W4d24Jnd\nLygdYXpulY7qT5qOo9ftRUOgzrqeuCZT2RTPXvP6RZjvpNpntZoha+WFPa/gN+v/VDJDKtRZOzgq\nrN1MQ7Be+DymIBJjks/n8eP3HsBNr92Gd3reV+qG0dQoMrkMfvjOT/DPneo2Y6rMqAzTFf8uPzP6\n+NZ/4OkdZl01t/dd5rn6EoPC2mO6IpfPKXWyqu47k8sKc8gM8ptj6o3387EyxnC6T8rcC3Te0GCT\nCrHxq7W/xyMbH8Nv1v+JtwRzWXOmmDO6Z2QvD3KxMb5svbfndr/o+DuVHHVGPwDJ5/MmBNP6uwDL\nlWtGYWPTBSRHz6WJtZ7sX0VmlJERpdNWZtQQHV2fgkBIhunWVxZId9h5/YqenTURr/A3dZiNsjKg\n5TlG1JmdbPW9q64oXDuPHB5a+whS4d0AiteMskxoJsPYdEv0OUVxmG4pVt9oOoZfrPkt7lhxDz/P\nC8N/xv2rH0bXWDe8hi4wJReTB9c+gje6VuCZ3S+UdTyDR3SNdRfYJqVjntz+DNYoMmSlJIficBq2\naReDc8h1EarPy4HgPLjuEXRHD+Dfe14WesM5GTeqMTltoMXEKZuaFe7LPC/d0AZJZu9ICaVkyeQy\n+P7b9+KvW59yZIOkjhA1xKnR0hM7iMe2PIHfbvhfodUMe06srYJK8iQrBQBbB7fjlje/b3MYtg4W\nMor7xvYjnonD0A0EjQCS2RTuXnkf/tP5Ct61oqkHFOzIKiN7KDmCfD4vGBcxwRlNYUP/Znzp1VvR\nObrPei6FZ9Ib71MGJ5xYkItlfunmT2HY5QRZ1hHnb8/oPvx7z8sYTo3y3rwqmTXTDc2Txtw5bqFe\nqFzyJMDM6Nz73i/wyr43sWNod1HoHH2n6VxauOY/dz2P+1Y/hANRexCBCptTq3vXAyjAyJxkRfd7\nGEwOoS8xwJlE5Xmwpm8DHl73B8HgUo+/uAOUyYnZtsHkMGp9ZkD0nZ738R0SbJPnjCozqhrPpgHT\n0WQ1mruGO/E2IVcaS0exe2Sv7XeJjJwZNcf56r43sWN4tzDf0tZ72j/Ww1vU7BgqOKPRdEzIcg8m\nhtFLsqGM6I2KnMXK5rJ8PiQyCazpXY8e63duglJJSZlR5oyy628b3IFd1rPI5XNY37eJP9tiay2V\nTUuoGvu7PRjrs31236qHcPvyu3Aw1ofblt+F25bfxe9BdQ0m9PkmFZnR7jGTCGpM0j1UEtmEsrZV\nBREuRYLHoL1e3UtYWcX5G8vE+RxkzlA2l0U2n0Wdv0Z4TwDwVve7QmbMSVTOnnA/mTgPEspBmiES\nrJIzuVsGt6NrrLso78BIagzd0YPoGuvGqt51/J52j3TyvV7V2oXu+WZmVF0zGi/hjL6y7008t+cl\nAFYCg2T745m4gAyhTp+qB6xq38nkM4imxTITNo488pz3ImSVGjFkEACs6V0v7LOjZN/uJbpIRq+o\n7vNgrJfbPMX2hLtX3i9kQPvi/cLcPBQ56ox+AJLL54WMmmNmVNOkLKj5r7cIgRE7RzECI54Zlc4j\nw3/NY8RXTrOahcyo3fCuqyQ1MhqU7Wc+CPF6dNRUeLFwah2/BoXpDiWHsaZvA/ojZl+sRJGaUQ+H\n6TrXjMqsviqY7q1XLsAnzpiCSMgcx6wOs07jzEVtwnFUkbFHEs2ZC78vPoB8Po+/bXvaBvVUCYtU\nl1vHQZVNIZVpDuJgrBfbBnfiP52v4KF1j5R1Pip0DHtH9+P6l74uwAmjZWRixA3CatyeywoZpHKg\nW8wADnoCgrGXyWcFpRlLx9E5uo9HGVtCTcr7YZLMpvDg2kd4bZQsukvtjKrqKqlxQQ32Dzo7unVw\nB3piB7FzZI8yup7MJoV6JLoJ0Q24c2Qf3up+1/Z7dj/FSITYO6PvzoT9DWB173rssQzrF/a+yr/f\nM7IX8UwCft0Hn9uLwWQh49RvvdMeRWZUZXCmc2nEMwkRpitBgFkfQNb+hxpI311xj5DJKfxOnc0s\nhlSg5y3fGTXXKp27NKO2a7jTsf7U5baCbJ48+hMFI69UjQ8VWh+7oX+z4BgxiaVj6BzdZ4Nw71MY\nrTSYceubP7B9z+YUZ5Is4SDSQMjeETNjp3Iq88hjU4mevaVYm+XM6GBimBvs+6M9RWuoVZlRFdy1\n08o6MgPwN+v/hD9s+jPeswy63cOdyCMv1PiZ508iQbNKkgHZT67Fns8T2/+J3274HwwnR7FzZDf/\nfjQ9JsAWBxOD6I/385Y4KjQJy+KwkDt1kKKZGB5a9wfOsJ3IJLmBmibPJZVNkUyV2Ubmp6sexI8t\nNM+zu1/EL9f+jmdUirGZxrPimmf/748P4r0Da3Aw1osVCpj0Ngs+SjPBWwe342C8z8Z0T98p1YFJ\nRWZ0f9RcC1FhPzPHz2o0Exm1M6qqGaXnVgVpmb70EWc0nc0Ia+NAtJc/bzb3WRDA0D0IEp6Fk8Yv\n5f+XnfixVBT/3Pk8D/LR5z6WiuLZXS8K+m6Q9OCV9SX9Tl5DyxV7kEtzCa2KRlKj2G/pnYOxXuwc\n3oMndzyDe1Y+gG+99UOMpaLCe2PXyGRF55PO/2gmhhc6X8Xty38klIWU6omsaRrgFnURnVdUVHuo\nKih+/6qHsbq3YFt1x0TW+qGUOb6Qx0widRNW+7d73sPPVj3I9T/VP9RW4vdoGamq0op/73mFlBmq\n6tNj+JciM/3Kvjf5HuBEpOYk6kKro3JIkstZWUWZwEjR6sWtu6C7NGRzeTVM11Ug1QFI6xOB9db8\n11YzKrWNkclzgFJ1nHnrPPZp0UDalgAoO8PHJJ0tLxvlcmm4+7rjhM9oOxrZIC1GYDS5tRJ9wz1o\nqgngud0vYvtgJ4BxoDnDQp9R6/oKx3picwQTmyP87yltlfjpDccjHPAIx9ENRD5PJpfGcGoEL+19\nHb3xPsyqne44bqBQW6GKLm0d3IFx4VYABUgydUZZZJEN4bsr7lFeY0X3Sryy9w3cOP+/ivamoxHM\nV/aZBfB/2fokjqmfjed2v4jl++2biCyiIWu+s/tXP8yNA1ny+bwtyCHSs6c4DEuDxhvDe3UD+Xwe\n9616EHvH9uPM9lMAACe1HoexVBRP7XxOuclsHtiKtX0bsLZvA35+6t38862D27F1cKdjLRxV1Mxg\no47h4fTQpLJ3tAsBdwA1/irbdyy7FM/E1TDdbEpwjKlhQJ3HPVbGUBZ2b6qoLj2nVzdsRtZgcggP\nr/sDAOCbi76Ejf1bMKmyA0OJYXSO7EM6n0GdvwY+tzi/d450oi/ez7MzrF4GcM5+DyWHpeh2wWhP\nZVN8/OwY2XF4q/tdfGL6pWJ/WGJs03XN/p/P5/Fq11uYGOlAW7jZdl0qiSJOkCoH0EMyU3nksXFg\nCxY3zuefDSQG4dW9fIyJbBIDBJJ4KM4olf90vqL8/P7Vv0bn6D7MqJ7KP0vnMoIDpBIVUyMzDg3e\n8D2NrrFu7B/rwZy6mdAgGjHUiOsc3YdlWOLInLqhb7PycyalSKXSEpNlNB11hFjLEDtV8MIJLgyY\n9zWcHOHn/+fOf2NBwzHcaajxVQuBOsqCCdgNRGpsMoeDBTX2R7uxa7gTdf4a5PJ5RNMxYR99p+d9\npHMZTK+egk0DWxFNR7GmdwPe7nkP18z8BHSXzt9boa2J85weTA7hdxv+FxVGWNAzMbKOcvmcbR2y\nIO0uqxdnMQRLLB2z1f11jXVziGEpofvlz1aZTOYVRljKgKr1uAqmy/5PHXnmiFcYYcQzccTSceU9\nqZAM8UwCQ8lhGC4PRhXzlq0Ln9vL6zLTuYzwXun8Y44ke+aGy4DfE+Aw3k/NuwRTw1Px0LpH0Bvv\nQzwTh0vT4dUNvLLvTTy7+0VsHtiOmxZeLzhyP3n/lxhLRzGSGsFlUy8CAAGqH8vEBcQIzdbJmVHV\n+mwKNiCby/LnO5oaxb4xkyQql88JZUmpbAq7RzoFPU6DH/Q4l+aCx+VBOpfGtsEdWG/Vka8ijmAe\neQtZswUBtx+TqyYUvsvnoWmApov30BtTozNe71qO1b3r8NEpF5IWkPZgi6wzZITQUII5oyHbfTF5\nZd+bOLfjDEEnCJlR6xrMuupTwNlpYEA1Z9/ueb8kas8rOaOlCKuOZkY/AGGOpUb+BgpQVpaZY5OQ\nZTDZLzxCBlOC6aoIjCQ23VRaVTOqhp/KNaNUBkdN5auqGS1kRvPI5bIlIauyUGbeUqKRnq2ypKRN\nn5GSqOSTZ03BZ4QNA3wAACAASURBVM+fgbMWj8PTO5/HpsFNtkgWd0atdxH0eWznUUlF0LCNkW7Q\n08ZVCgxq8UyCbyrl1J0xh9JwiQt63+h+/GzVgwIrGqCOyJXqafrHTX/B3rH9WGM5NU5CI5iFonZT\nsbx3YI1SmQEmBPDpHc/ZYJTpXBqDiSFHRxRQZxr2kVqm0dQYj/w1WW0KbnvrTry1/12s79+EvdaG\n9Z89rwAw2QSPbV5kjd2uwKlTwJzJdDaNX639PZ7d/QLe6n5HOU6BGdjapOOS0UWlxie2Pyom+Xwe\nd737M9y2/E7bd7l8jpMSjaWiSOcyPLPBxMymiE5V11g3ntv9ojBGCu2h8o+dz+L1rhXK+k0mzMGV\ns9o0YsucnDPbT0F7RRuimRhS2RQaA/U2Z3Tr4HbcvvxHfCNN59L8GcobL7vf4eSIsmYMAJK5FK+D\n5FlcB2dGqB0ieoY6VfFMHH/a9Dh+vuY3eHzrP3DXuz/lDJpOmbd4JoFoOoYdQ7sBmBFrZkyqNmiW\nYZoYMdl/6fPP5XP49lt34ttv/ZCPN5lNYYBkRmOH6Yw6CYM3bycN59O59GFdJ5PLYH3fJpKpMeu/\nfr/xUXzl1W/hFiubejDWh7tX3o99Y/tR6Y1A13SeVXSqDy9Vr1oMbs7Glia6IZFJ2BAHJ7Uug8fl\nsQW0ymk5Icve0S5Uec0gJzPS2XmCHud9DbAbiL1SZjSWjnGjc0PfZsQzcbRXtCHkCWIsHUU6m0bE\nIkFhuvLM9pMBmPrkoXWPYE3verx/cC0Oxnr5mmHOaDl1yew6TGQHVg7Use9ZYLRYbX8sHRPOnbbm\nVbnSLfVJNq/rF4JfVE/QLJMKpsskqkD6VFiQSqfghCprFs8kcOubP8C33vqhMjPKPvPqph3icbmR\nyWWEMY8QptVULo1EJsFLWwzdEDKjPrcPLSGTFfxgrB83vXY7fvD2vQAKTsuukT2IpmNCrScLmGzs\n38KdzkGii3L5nCMyREW4RMWt6ZhaNUlgyk9mU0WZ59l7ZftsobWLWOeazCbRGKhDU7ABWwibLEPy\nMOTGa13L8ev1f8R9qx8SaqnH0lG0NrthTDbZ/FmrJ9kOYzbYqt51eK1rOfaOdSGRSWDr4I6iQV4m\ng1JAjwXFi3UEYOVAdE+ga00OrMtBxatmfFz4m+rA0dQYbnrtdvxrlz0resMxnxWIJKkzms/n8YO3\ni7e7OpoZ/QDErBkFT0UxmG7QalcSTZiLl0NlDR2xZIYQEYnw2pIERjJM16oZlWG6VHg2VeGMnrag\nFS++t4+T/zRWBxDye3DSMc38mMqQObG8c1/FN998DZc3fsH5gSgknjwySv8T5zZj855BpPKFhXHZ\nqRPRNC6lzKIBZoaXtb5gonljyGcKi0QmMBrXEMLHTpuMGe32TFQpoZtTfVUAX7xkDq43ywswlo7y\njaqcPl1M5Ag8ywb2JUxjfSwVxXBqhENrfLpXqLkoh6yHQmcGEoOoMMJCPQkdr2Y5AMyIlhVqLp/D\n3tEuNATqOATwhNZjbay5T+98vuiY4pm4zVGhynU0Nco33vpAHfZHezCWjuJ/Nj+O45oW8+PYswh6\ngjyCLD+TVDaFMWIQPLf7RYymxjCnbmZJI1OoGc3bnVFZLp1ygZKpVCUyyQJV7juH93ADlhn2YU9I\nMHhS2ZQtw/fr9X/EwVifQMihqhFj8tiWJ3Bc0yLH7xPZpBlskAIsPSSi+96BNWgJNWFG9VR0Rw/g\nvYNmHVtTsBEHUnaSF/PexSy43+2zrZs6fy0OxA5iKDlsa7UBmEZtOpvm9PcsCKTKYvVEDwroAPre\nqXEVzyRscLLVvevQFm52dM4eJND425Z+DXdYSIX7T7lLCRlnBlVTsB47hncJ16cOKLuPZDYpXPtw\nM6Mqoetb7jMadXC+W0JNjnVn+8a68eetT/K/5XfKdOhTO5/jhmGVN4KwEcL+aI9Qq3ioooKfAmY9\neDafRVqquYtm4ra54rdgkRkL0jucHEEdwo41xioZF25B52gXDsR6ucPC3muqTGdUzqqw4A1DiWwk\nfVXfJ+stnkkgM2r+ttXfzDNjLaEmTK6cCK9uCA7V7zc+CgCYbSF5dM2Fl/e+oTRGZTFrU533Okow\nlMlluN706ZYzWiQzmslnEc0QsqBsITgypXIido7sKVri0qNwRn1uLwzdw+dkktTVsv1W13T+uUrP\nR4XMKHNGTbuqmPPh1nQhwMD0eDKbwpAClTNqvSOGnHJbWT4alJOd31+t/T0PABu6BwGiM90uHVXe\nSrg0F/ZYmWnGrkt1cdfYfmU2ri8xgHvf+wVumPdZHrxjmWYndJD8flK5FPxuP05rOwF+tx+zaqej\nwgjj4fV/EI7rHN3H5zlgOkEbB7bgxc7XBN3ZnxjggWeZLCmdy8CjezAtMkWJCAl6ghhKDgtBC+qM\n3vzGHQAAl/UIm4IN2DG8WyyXAlDlqxTu/0fv3qd8Fk7CdH/QE0A0HeNZ9JARdPxNT/QAYum4Y6/r\n4eQIeqIHeEKBIjAMl4f3IGZCEVUb+7c4oiJCniCqfJXcFqU2ZDQdExA/KjnqjH4AwvuMWn+zzChr\nTRKNM2fUPILBaXmmVGLYVTmeQs0oz4yKMN1i0FkXv5b9mI+fPhnnLG1HlVWb6XG7cN+NJwjH8JpK\nbwKxDJBMlwm71TTk8nnEjtAZvepD0wCA19YAQKZ2Cx7c+AIuSV+AU9qOL2883hiy0Ur+N3/W7B9N\ns9WCliuxIk7IWCrKHR45M7p9aBcGEoMCFI+JbHixKCr79973f46DsT4Oe9M1nZeMatAcDTDAVDyp\nXJrXu/TF+3H78h9hbt0sXDv7Sn6ckAXIsxq3PLK5rM3wfWXvG/jb9n8KTeHjmYTgrAwlh5VtD6jE\nMnFUoVL4jCrN0dQYYGjQNR0BCWL8Vvc70KBhXv1sHiUMegLQWW1NPoPl+02yhs/N+RS+/Oq3hN+z\nzWl1iYwxIBEjZJJY2bPKcRPoqGgXFLRsgMhCs3OdI3sxuWoi/5vV7LJ3CJgbFDVAktmUsJHEMwkO\nI3q1BIsplZ7YQbg0lzKLF88kkMllbKQT1NjLI4+5tTOhaRraw4W11RRqwPBIYaNe0rhAOS+S2aTS\nGa0P1HBnVFXTW2GELcfbNALTxJGT5Xtv/xhXTLu0cM2Mc2bUNj7rWHn9sywUlYMky/n0zueF9c0M\nLDbehmA9NGiCMUPfJ3OAktmU4PwfCoFRKWHkMrKkcxml833hxHMwmh5zdEblKLxT/TbVH2EjDL/b\nh72jXeiN9x12W6Qxh9pnv9tnZvFsbLrDtnntc/vgdunI5DN4dtcLeG7PS2haV4/useKGFpW2cCs6\nR7twMN7H9WIunxMyW8WcUZaZpeuROUvM+P3dhv/l3zGHsznYIMw/irq5YMLZ0DTNmrP297rOyjqO\npaM2yLCTjKRG+f353X7b2qHZRkrQtLZvA2LrYljWvKTo+amTliKEWtfOuRIaXBhJjeD+1b8W1g/T\nMarMaC6fg+EyEIUFaSUBhv74AIKeALy6VwnTZTKWjvLgOJunLIvFMpV+t8/220pfpQCrpOtkIGl3\n5ti7Z72DWWY0TRxo2fmlSCTDZSDgFueY7tJR66vGQSm7J7fhkp3RCZHx2Dm8G7tG9mDb4A4e3G4O\nNmIkNerYMiaTMwOFj299EhdNOg/JTBJe3cCHOk4XjmO6YHLlBH4PixvnY2JkPKZVT0aNv5pnS9l7\nbQjWY33/ZmRyWQwnC6z7dB66XR40h8RkBZOgJ4Ch5LDwHnoUpHpMGi1nVJYaX9URleqwzGiNr4rb\nWho0BN1q/RB0BxDNxLBrpNOGXmB7+Iqe95QcEQDQGm6GX0oC0Lmqa84+RsgIotJbcEZp0L9YyQIf\nX8kjjkpRyefN7cqlaTy7xmpGfV43dJdWgOlajk+N1aokbTmRcmsX2jaFO6OqmlEry5nOlHYMC9ey\nG20uTeOOaDFhDiEAxNOle9YBQGONuWhUsN5oOoYntz9TlCBFFrowGAPlxgE7FT4VWrOg+eKY0lZw\nclwSTPdIhCpt2XAfTY/xTZ4yGQJm3cUjGx9Tto+QDWcG9WXPjC18tvGZBjvzRjVlNJYpZo9uOrD7\nLJghMw5k2K6KHCaXz2I0PWYz1lZb0FEKWYxnEkoDktagyRJLx7BtcCceWP1r/G3b0wBEZ3QkPYZU\nLgVD9/D7oFLlq+QwR8DcXGhm9E+bH8fGgS3YM6KulwRM9kPD5bFBa+l8ogr3ie3/xO82PsozfyzC\nDwBXTLsU1x/zaQEGFnKA2vTG+vH+wbUCPGaH5BRsGdwOQzcwrXoK/yzsEc8ns+kOJAaLMhUykYkH\ndg7vQa1fDS9OZJPKdysbeyxz2RZu4WutKdggZL8/Mvk8LG1aaDvX/2z+K/riA7YgTmuoGRo0PLfn\nJaG3IZOwEUIeeQ5LSuXSeG3fckfKeVarBojZU9pYXNXnjj1jGaY7rqLVdiyt//r3npeFZxfyBAUn\nJOgOoMII2TKz/P9WPfBwckRwMoplRmVinFLitD7kfngAMK9uNs5oPxl+vVj9eWlHcigxxKGNABA2\ngtxoLLZeS4nTc2EZ8UxOJjCyw37NGj03srksN4xlR9RwFS/1YDXGfbF+G6tnOTDdkCdoZXILY2W6\nu8orBvBon8emYKPw/g3dwEcmnYdT207AzJpp1nWDZbGaM/ERToNLJ3+Y1+gDpjPE9jrV/VDnK5aJ\n80zoWDqK1RZEmIq8R9M5b7I7DyHoDsDv9sPn9qI+UIfWUAHddeO8z/HxqebCWCoKj14IFu4d68LB\nWB9y+Rz64wOo9dXA0A2uG2TnmjmEcpab9fhkBrkKYsng2nwsZK9jxF2yuDQXD26a7XpEAiNmI0SM\nCttv5cwok3qrTQwTmrEGzMCbvIaPqZuFa2ZdAcAMXDK4PCufcXLGNg9uxx82PoZVvevw2JYnkLT2\nc1mYMzqtejL/bEbNVCxrWYIaa19i8FCeGQ2Y137/4Frc8ub3eJsYOg8NlxuVXvuzMY8z1wl1pFUB\nDCZO55GzjE5S668R/j65dRmAwhyrJjaIoXugu3Qlw/+8+tkAzHZdclCywgjDqxuOtZvfWvJVXDPr\nCsFuAYB4lvQyLZJwCboDwjxm+ulA9CBWldE/+6gzeoRCe4jyz3IFAiNaf8kOqbXqL1mNJnU0ayI+\nwXFjX9Femxymy1qXZJ0NTAb5ZZlMw3P4r/zEuQXFPmV8ABObK3DjJXOK/uaLl8zBKfNalNnG9X2b\n8J/OV0rWLFIRGGutf/eP9eDVfW85/oZu2ssWVOAbl8/jf7slAqPCdeIlC66ZvN61Ave+93O82VVo\nUyAbzmOpKK9ZcupzyGCooxKJQl98AJsHtiGXz3FoppMDn85lCu5GPq80LBKZhND7ikXoqSFG7z2T\ny6AnegDDyRFEU4XeWSpHV0Wks2dkr0BBzqTaV2n7jEksk8Bzu1/EpoGteGnv68jn85zgIGJUcGit\n4TJsdbUAUO+vxbiKFv530B2AS3NBgyZkektF7MJGyJZ5pZsxdUZpLYtb01HhLRgds2tnWDVJBX0g\nG2hsLnxnxY/wm/V/4qyBgAgRyuayOBDrRVOwQTAuZSPHrBklrIwlauaY0KwUk8aAelNNZpJK2KRM\n/MI2OJ/bi5ZQE3y610ZgFHD7USkZZYAJDfrV2t/ZjKDGYAM+Mf1SZHIZW0bVpbl49Jg54KlsCn/e\n+nflfbDvVeOPkU19WEHKw46NSwbu5MoJuHzqxcJnrLUBZXdmYugeDukDzB6CVb4qDCaH+Xqk+o85\nS7tHTAZWFjSRM/Nfnn8d/3+EGE1TqybZxkAll89xaNVsiXCtO3rAtv691rv0FSFDK6fNjXm/Bb0Y\n9oTQHDSd0d0kYEClHKPPaf4zZ/Tfe17Ga6SVjtIZ1a3MKNGzFDL3hbmfwS2Lv1J0HBVGBSJGhal3\nJTh6wXlzDhr43F5bfSCbH1Snntl+Cs6bcBb/u8ZfJegLj8uN08adiIsnn8+RTyFP8JBaX9H55NUN\nnNtxBj4983IAwGhylO91qkwOZW09qKhLl2vbZOeJBmpTWTMzKu8psr6Vz3FuxxmYEGkHYDqAdC9J\nZVP47oq7MZIaRSafRa2/Gl6XgWg6hq6xbpthzhzf/sQA+uOD/N5lmG7YE4YsVUX2wl0jncpguVf3\n8vfGYLpUR7LrsZ6iVMyaUfs7mVg5Xvg7mo4JJHhyWxTAzNSz9dk9dgB98QGEPEF+36p+r4BZDsOY\nV8fSUaSyKXgVezmrGaU6kzqm5hgs1FMuDa9u8H2EseOzZ0Hv2e3yKB11oLA3DyQGeXBWhpkubpzP\nA+pt4RYbZwMANEp9VlXy0SkX4oxxJ/G/T2w5DhdM/JBwTA15h2w8zHGnweNjLGd093CnLeBi6B5h\nvVLxuDxoCjag0hvhepxJvIQNUeurxsWTzoNHOj+DRt/x9o/xbBktCo86o0coOctmd2kgLFkFZ1TV\nOqUuIm7WjD132rhKVIW9AtyWOZ6zOgqREXadE+Y2oyrsxfUXzXYcH6sjTTBn1O1MYFRKhGbHrgRu\nvXIh5hKSHpXUV/rxybOmIqAgBkoQNshyRTRmzOcwlBzGX7Y+qWzWLf+mPzGgZBnWNOB/N/8V/7v5\nb9g/1oObXrsdz+z6T1ljerdnFXYO7xGUVTKbEp4XzYxSyCqNgLIonFinlcYfNpq9Sn+/4VEONRtN\njymbYeeR55HbTD7jQI4QRzQdE7JksUxCcFwoacpzu1/C996+Fz9+7+c8ypnJZ5WtC1QtRv667Sll\nsKBKsUky2Ta0Q2qPUaiBYBHX4dSomRl12asNKr0RISquu3RommYyQ+ZpRqF4b8KAJ2BTzkLjbnIu\n+jyDngBagoXNkxlBQmZUMjhlyCKFS1G21F6r91hTsAF+T0GXyNlLmhmlTl4x8gNA7Yw2Bxswt26W\n7fO4Q+88WajTefXMy3HDvM/CpbmEz12ay8bAx2Q0NWaDhxkuDxY3zBOyM0y8uteW4U06EIe1WfOE\nGr/U0KWbuqp+K+mQGfXpXlt2lK0Z1bM0dEMIUHh1A1W+SmTzWb6OaTZGnrtTLBi3jKagz5Q6u1+c\nd61tDFQyuQwOxHrh0324YIJoHP17z8vYH+0R5grLiKreBxMZtqySoeSwgB7xuX08M6rqwQkA00o4\n1oBzZtSnmO9AAe5MEQd+tw+6y41MPovR1CgqjDCumPsR/v30mimCQySjFcxzeFEfqMVgYuiwMqNu\nTUcsE+d1a0zk+XP+hLNwctvxaAw2YHbtdDNAYwSE42Up5gSrhOoVQzfgdrkxr34OXJrLhOla90ev\ny4x2mmnarwhWymQwqnnl0lwIuP1Y07se6Vza5nhRfetxuQUyHMAkpGJrUddcyswcW7M1/mq+ln74\nzk+EwJQGDW1hM/j5izW/xW3L7+S1+BUSTLdCoX9rixDbpXNpZY0gfR4FAiO7jqvy2QN8Jpuufd5P\nrpwg/B1Nx8TSgGzStk95dA/q/DXQNR0relaiPzGASZUTeFBKJltUiaZpSGXTyjk5t24mplVNxsTI\neHxi2qW4aNK5tr3TTd5z0BOE26EVm6xfqfPURuwF6hS3hZrhcXls7OAL6ufic3M+hS8ecy1m1UwX\ndCuTJocgLpMKI4yTWo8T5qmhe2C4PEIAgs5rNjYWOPGTedAcbEKtv8Zqayc5oy7D0fmmetzjcguI\nCvr+VYzHS5sW4tRxJ5pjI+/PLOUoTXTG5KgzeoTCIrgaYdMt9Bkt1I0CBZhJbaWoBE6e14KPnz4Z\nN14yF4AIaWXQ3pa6wuJjX1eFvbj3+mVYMLUArTj/uPECaQ9j2E1ZLVBch8iCS0UFATkSSUlwlnKE\nGmMywYETYQFtrSBDRljm2uvR8eb+d/Dm/rd5I/ZnHeB8sqRz9vEnswnBKBxLjXFDjENqs2mhpxRz\nOIakfpCdo6YBtrZvA8/kMfgMhVQwiBZTAJlcRpm9NJl9xffXn+gXmNtolo8ZFAOJQYE5t8uC91JR\nZUapUCVHIR10Y63yVuLlvW8IBspIapSTNjSFCgre0A0lTBea+d2EyHhMqypEUd2aLgQDehWN0akE\n3QEbbGUkNYqusW4s3/8unt/zsvJ3AU+AOwdAwQCjNaPyhirDrGhAQAUXago2wK8XdIkM9aFsutRo\nnFDRzv+virir2vx0RNpx1YyP4aYFInHZ41v/gX9bjMXFhEI3G4P1GF8xDoA9i0bnAYUhGbphI0ny\nWHAldi75PLJho8pqAsCFk841v6eIhEwSo6kxE0FgOSUel1sZGS7UjIobr1f32uYOcyDrpHcFmMYC\ndQa8uhfV1ppmqAnBMJAcu46I/TmY4y6sD5XB5CRP7ngWPdEDaAjUoTnUiDPGncwzIEzovGJBG1WG\nwGnMKhlMiK16ktkUIkYFfLrPsRa12leFCyeeo/yO98902LNk5AMgQm0riTHvc/vg0czM6GhqDGEj\nhAlVIuqHQujkQBY7R52/xgaZT+ZSZdWM6orgG2DqEzrnzfYVbtyy6Ev43OyrAIjv36OAE4eM4sRJ\nssiZUXZdRl5TyIwW5jWbM5T9WKWHZTIYj3V+CkX26l4c27yIP0ubM6pTZ9QMXLL7NlweBNx+nNhy\nLBY2HIMb5n1WibJha7bWVw03gfHSIHqlN8KfBXNaWA1hWGLTVQUDmxxqF5nIMF5A1NMcpquAwTdI\n0FvAdHhUbePMlnEFiaajIkxXUTNquNzQXbqg045vWaJcV07SHx9AHnnlmNor2nDDvM8i4AnguOZF\nOJ1kEZnQfdVweRzXCF1XAY9f2H8oJwPtaFHlqxQyk0zCRghulxtTqydB0zQbRB4QM6OLGubhjmNv\nVo5bnqeapgmBWhpoljOjVMeEjSDaw62IZeK2YI4hOd9UZMQAHQ+tpVcxktMAj0h8mXHs266So87o\nEQqF5Mp9RjVNQ8Brz4zWSpnRoM+DMxa2cceR9hnl/DqahpPntaC6wstZelVy0YkT8NnzZ/C/5czo\nkQiNVn8QzmiBDdLZGY1n4ni7+z2eBaSKUYaL5PJ5dEcP4O/b/yUQb4gwEzFzd9bicbjh4tmojhTe\n08qeVcqx/GXrk8pGvyromUkeQyix0wUCI9au4vk9L+GxLQXYIKNdp4Xy/YkBrvzTuQw6Sc3UcGJU\nYIljkVnmsKeszIZqvPL7u/e9X+DJHc/wvx/f+g/h+/pArS1rpWp6XwqGRxUXhSZRI/ys8afafjeS\nGsNYagx+tw8VBOZkuDyCUXX51IsxvmIcPjTeJEH46oLP44Z5n+Xfu11uwemWDR5ZzA1L3CAfXvdH\n3PnOT/GnzY87BkCCkjPKx6vTmlHRGd010olvvP4d/rdcB/jzNb9Bb6yfkwM1BuqlzKjsjKZ4cIDW\ntLB5Yn5uN3JUtUQdkXYYuqF0eFb0rAQAzKyZhpNaj8Osmmm2Y+RnyETORFBjhBrOhm7Y1jszHDsi\n7ZDF6/ba5qvcQJwJJxghkO2X972Bm9+4A0/teA7RdBwuzaU0Nny6r1AzKkWBvW6vzbFnWZYKI2wL\nBJiN6MXIfV3AfKe7Rkx9Fi8S7GkIqCFh9BkfijPKSK5YHdmFk87BxZPPF46hxh0LJMg18VTKKX3o\njvYIe8Kc2hnQNA1Bj9+RYdXv9uOM9pNtmR2gEPV3gp+qYMVh8pzoe/dZbLoMdVBhhNFaYYdcM52k\nyvT7dB8qFbDM3294jNdJFqvtVdWKmb8JKFEiDBUCSM6obj9WdV23g2EPSMEIYe2GhJpRqlNU2RkV\nykYWwxoHNajr/NU4qWUZDx60V4iBAfo82H2wd9IcaoKmaTB0A1fPvBzjK8ZxI5z+jjnKNf5qGxqB\n6Y4af5VjVpk98ySvIVU4oyVg5pUK3SM7AVmrZUk55zZ0Q0lGo7t0XDzpPK6HxtIxuzMqBwWtZ8/0\n8MTIeEytmuQI11/YcIztMxakUmVGyxH6vgzdIwS9qdB5KGfJWf1p2AhB1wrni3grlFBnWZc2BO1O\nP33XfrcPNf5qXDblIv4ZG6dbCLyaz5MGMqlu93Jn1ODHfW3hF3DdnKvh0lwcjZPL54TnabicYboy\nGkoOKI6mxqzSKHswkQbVZpK9fzAxhKd2Pqe8nkqOsukeoTDHU3eqGSXwVHZIXaUaFsSEnquhqrDZ\nf/LMKdA0Z9IXlTBnlLLf3nv9MqG3aTFJZBJY3r0Sx7csFQyEcuvPiolc6B9Lx5DN54QF/MDq32D3\nSCe8uoFj6mcLmVHafBkwo3gPrH4YqVwaB2N9+NycTwEQHaRE1mTt++Omv2Ba1SRsHdqJj029SIjY\n08LvXD4Hl+ZCNB3jUNNZtdNR56+FS3Nhfd9GpQOWyCQFoyGXzwkbbiaXwftSUTfL2vYQo1l2lmjk\nsz82gEw+C5/uxVUzP86LxJlx3BM9oKSwj2cS3Kir9EZs8JNZNdN4E2gmIU8IYU9IYIxT1W+VMjYD\nHj+fO1SZh4wgry1R1ZKOpkYRTUcR8gSFSKBHN4QsxoTK8VjW4szCqGu68K7l52vohpCVCXgCNjh0\nOex4QU8QDYF6hDxBTKosEClRw06u2Xl135vC+z0QNZ1R1px7Y/8W/E17mt9vU7BBgOLYYLqZJJKZ\nJHy6V9h4qSFc6Y3Y+jPKm7R5P6UzJh0V7fhQx2l4eufztvmjyrYCdnQDfbcRbwUfm+Hy2CLyzJg+\nvmUJ4pk4FjfOx90r7zfPI80LwDmAxpwo1TrePrQT8UwCAbffhLVJqCOf28szo/I68ulemxPOsiOM\nTIJmV2SYpU/3Yl7dHPx129N4bd9bOLl1mWOwx+NyO0KwaLanwlu+M8qEvjvZMaFzhd3rhMj4Q74G\nFUYABgB3HPtN1PirrPM7Z1rYGFWOU8DjL5qRVc3NCiPE9RF1uHxun8DcXGGE4dbduGrGx8VMle5G\nIgtlpsfv9gnQOia0xRJlOv3Q+NPREWnHL9b8xrpHtaEd8VbwPdXJgRQCPIosoCo41RSo571Imdy8\n6EbEMwlBbWfQ4AAAIABJREFUF8pw8M7RLoykRuFxeYTvVGQvTr2qqXis8dIgzgktx6LGX4W7T/gO\nEtmkzdEzJJguUHB8WhTZSHb8Z2Z9Eq92vYWN/VvQZSF0av01Qp0rYMIwR1NjaAjUO+pIeUxhRUCo\n3l8od6pWMLCWChoyhzCugEWq6qmLkWydOu5EhIwQHtn4GKLpKBKZBGdiTWaTCj1snusjk87FsubF\naK9oMyHh1vOo8lbiu8d+A52jXdgxvAvVviqsJF0RqDiVaZQS6ox6XIZN7145/TJsGtiGRuLUyQ6Y\nV/fi3hO/B5emCU5UpTeCaMoO8ZcDNyqnnzp1TFee2Hosntv9AoZTo1yXuIXxW86o2wskzflObSJW\nssDsS5/uFdBBlLG+0qpNN+/PQKUTTNdT3Bm9Z+UDjiU5tOytKdiAH594B7791p0YTA6V7P0sXLPs\nI4+KUqjjqYLpqjKjDLo7qcWuYAARIjCN9LtkL31N74ayGzyz3qF1EZKRCnsRKpJdpfLE9n/hr9ue\nwlM7nhUghDRCks/nS/ZjlA36/vgg3xTYb7/5xvdsdTDM4WFkAbGMc5Zz08BWbsxTOAE14HL5HFYe\nWI01vevx561PYtXBtVhzcL2SJRMwIWOvdy3H10nG6u6V9+O+1Q/hV2t/h99tfFRp6CSzSdv46MI0\n6yPEd9CfGEQun0N39IAZxSKb1nTCmsrk0XVP8e9m185QRsVVQjOjKrhgW9jOAup3+2yb2lg6WhSS\npxJqvNL/U8VOMxHs85GUWXMb8gQFKKdXYtMtVq8G2A052YGQmUBNmK54zmKZAvo7TdNw5/HfxmdJ\nmxyhhkn3oD5QMELkiDMLilBoZD6fR39i0MzU+SqFTUSuT4tl4ohl4vC5ffwezBqrwj1WKuqJZGdU\nhj9+e8lNuHL6Zbbfea330KzYlJ0cCTmzTI0ROv/NtgXqzGilN4JLp3xYYIJUwXSdpJiTw/rXBjx+\nJUsscyhHUqO2Zuxeq4ZOJWEjZBufvWbUi5ARxKKGeeiN92NF90pHZzTkCTlmn+n6CHtC+PL86zhc\nTLX+ZZlXX6hvlXUMNU6Y49USasJdx99W8ryAGfGnbaRo1h4QnWdVLTMTt8KoK/yueCBFFXyhTNdC\nOYHFpsvHZ83RRY3zMIuQPLks08qrG7h50Y04r+NMcg5f0TnncbmFdeDVDRG+7uCMtoVbebudoMOz\noo6RyiGZXz8XV0z/KC6edB7/bELleBsqoMZXjSlVE4U5TMccsnTRYGLIQq8UnplK55QT4GP3rWka\nPjT+NLSFW7CowSQj9OgeZcZRhj9SaQ4qMtqcFMbD51vXWLeFjIjg0skfFo5vq2jB5+d+Gud2nOmY\nzXa73MK8VNWM0ndK1+RFk87FSa3H4cTWY22/kev8AHupgHk9u/Pr1Q3utCxpXGD7nmV5R1NRJLJJ\nHugyuTDUmdGAJ4COSDu3CcZXjMM1s67ALYu/DN2loyMyDqePO0mYdw2BOqEv+OFmRt1SZjRE9kIN\nGhY3zsdVMz8mBIdkfZLLZa1es4aQSAi6A8pAg1we1OiATGEiBqvM+2QZUSGzy5xRa6whT1CYH8c3\nLwVQyEjK46CM9TQTKhMMUbG1+ZEyy8OpEaGEYEnjAlw5/TLMqpmGpdL88bt9wju+edGNymvKctQZ\nPULJsS4aLg0Mp+tEYMScSU3T8NDXTsbNV9j7SgIiTHdis33yPLTuEfxy7e/KGt9HT5mEj58+GZec\nbIcMAsCWge34wkvfwNbBHRzSOZQc5hkXllnbPrRTMDxoZvQ/na/g669/B9sGd/DP0rkMntn1H/TG\n+vF61wp87fXb0RcfQDQdw4b+zbht+Z14p+d9AAVnlMGoWOSNOr/MaKU1U7LipX0h94524Yfv/ARv\ndK2wUbBv7Bdbwfxt+9P48XsPKJ9PT+ygAKWl56d9u+RaKrmthiypXAq9sX7U+Wtwx7HfRK2vGgdi\nvfjWmz9E11g3GoP1guKcXVuAXjPFta3fNH6ZklPVAAHA2eNPE/5OZOLcgZap3AE14YFP92JGjZmV\nn1Y1mW9wxzYtxK2Lv4LzOs6y/UblqNINgDpFgjNKrt9sMegdjPUim88iZAQFo9twGcJ9OxnkTJwM\nOSYyqUPQExDOWeWt5GyRxYRtXvIzkGFjty/9Ok5pNXvksizthyWyGOqwprIpDCQGeYNyCuWR7y0P\n03H16l6+xgJuvwiVLlGL9IVjPoMz2k8Wvm8M1gvz8aYF1+Ok1uM4k19T0J5xcAoSMOODvX8B6kc2\nzlgm7ggPY0I3UNkZLda6yWlsYU8IyWwKY+mozSDxuDz49MzLrWebxPsH1iKPPBbUz+XHqLJiAHjW\nQM4CGC6PVDNqfn9uxxnw6V48sf1fnARFFhUsuTBWt/D/SZUdHJJ2wzHXYlGDeh8CgE/P/ASmEHIg\n+ZlTpmE6b0yoW4m15vbhtqU3CdBK6rS5NJcAXyvmwLkURh0TlRN7zvjTbUYfFYpaoM6T32LTZeJE\nBpaDiRDx6l60hVswtZo+Q7cwN+QxG1IQQ3fpaAs3o9IbwQUTzhacYSrt4VbeyD6iWNeAlIFR1Nob\nugfHNi3EVMJWGvQE8f1ltwjwew4VFIhXCvOPERalcxl4dLGUghK7HQpsnPW41gCcN+Es3LzoRjVf\nABF6XVkXs4w7FRbg8rgM/o6YvtVdOk5uW4ZrZ3+KHx/2hDCzZhoi3nBRaDWdY3IduRxoriDZqwX1\nc/HRKRcqs24BRa2eiqRLpYcM3UCNvwr3nPBdfGLaJbbvQ5auk9EBqsyoU5ZV0zTMr59jy7rROXjZ\nlIsEBl8VgVQ54pHmod/t4/rH7/Zx25vOUaavTrPIdyZVFSD+VO/43b6yWmLJzLkyQoTqR7Z+WG2r\nal0yfcd+t6hhHmbXThdguIB9XvvcXjRYY5Frup30gqwji+2X0XQMV864DEuaFuC6uZ9W6mWq0yLe\nCnx1wedx04LrHc8JHIXpHrEUMqOF9iB5p5pR8n4pYy6TWDqGweQwp7CuCBowPDpi6Tg8uge9sT7B\nMGUQ0mLi97pxxkJ7WxUmj275G/LI42erHgRg9hr6/tv3otIbwQ+W3coX71g6pqwZzeQy+MeOZwEA\nD6//I35w3K3w6B682Pka/rXrP9g0sBU7rfrN/3S+gh1Du2z9muTU/1hqDFW+SuwhMFCmZFWRPyYj\nqVHomo6QJ4jh1Ai6xrrx6JYnCs/Cani8rm8jgELRP83qMjgKk95YH3RNd6xVYlIfqBUIdwYSg/jn\nzucBmAtdHvdgYhiJbAKTgxNQ469ChTeMvsQA4hYOMOAOCO0NZtVMw1+s/1898xN4bd9bnBadKQPV\nxqxBs2XMaGaUzicmqto4v9uHY+pm4drZn8KESDt64314dd9buHDiOQh4AsoWKRVG2J55FKKDamZZ\n6iy1BBuxdXA7f7ZBT1DYzD0Sm66TA8DEyZDj15YMhYAnIKjl7y+7pejv6bhUQtcrGwvbiAaTQ/C4\nPDij/WS8tPd1HvBpr2jDuwfMOuae2EGMpEYxpXKi9dvS7Ng+t5dnWYOegPB8VVkjyiToBK+lDnpH\npF2o21TNKaeI9+kTjseug1088k+NNmrkxDNxuxEkPWP6LAzdy7/XoKHCCHGCoqtnXo7h5Aie2P5P\nAKaxz3QBlcVN8/Fi52sAzHlAa3wvn3YxFjQcgze63kY6l8H2YTMwNL9hLoeZOs3FkCcIl+ayPRNd\n0xH02A3MKl8lljUvwYt7X8Omga3Kc3p1MyijQbMR49A5J8/LGn8VLplyPt498L7yvDL5iZx59Aoo\nBfF+XZqrqN5kepau54i3gutbw2UIELBimVEGUXeC6TLxuDy458TvwuNy4/X9K5BKpZVBPFqLTQM2\nukuXslxqZ4rZAMzolMdFDbigJyjoSTPARoJWmhuGbuAHy24FAPx6/Z+U1xxX0Yq2cAui6SgunXKh\n8hgqxaCacmZWvgcW+BIzo4X3HyKERT63T5h3reECa2lzsFEg2ZP3XyqFeV0+CSN9t2wund1+Kp7f\n87LQh5rJ9OrJ2DO6F43BekEX0RKIMNEDNHhEg1X1gVoB0utz+3gAmB5374l32OYfzZwGpAAYRYf4\nFTBdFhyiNosqQFPIZqrXFBsjq5Fl0OrRVNTWqqVUQEAWOo/8Hh+yedLOSgEdL0do/bNhEQAxO5Du\nYXS+smd74cRzcM7404U16XKJQbBgGcRetK701sVfsdWZioRT5jNTIToM6Tv2fK+a+XHhfGydqGp/\n28Ot6IkeEEo3DJeBhkAdDJfHRnQlB+HZOem+2BioR0/soHJ/l4XOCb/uK6t042hm9AglT/qMMhWZ\nzeV5SxahtYvczFKSn656ED985ycYSAzi/i+dgB997lhsH9qFr71+O770yi34wTv/ja0k++hEVZ/P\n5/HYlr/j7W6x995TO57D7W/dJRhdo1JB8mv7zD5rQ8lh5PN53mttKDnMe0wCwI6hXRhNjWGt5dix\n8ewd248fvP3feNrC3HeO7OOwk/cOrFE2Dk5mk8IGxBwlZoADBSVbzBkFzH5MFF8vss2aRkUeecyq\nmY6vKiI1FG8PmMqYKXWVk8av4/bh20tu4vCmJ3c8w7H6qh5i+6Mm+Q97NrLDeNb4U7gR4NO9qPZV\n4QvHfAbfXPQlzK2bifMnFjKRTImqIWp+m9EezyY4mRKtVWGignKwa8ytm2kySEbG4+qZl3OFrjK8\nVXAkpvTksTrV2xSa3ZuMwlXeSltmlN5fqeAMdVhUx8rOV9DtVzJi3jjvc8WvpWi74zQWAcLmrYCm\naUJd1dSqSbhpwRcwLtxi6x3H5tbEIsrep3v59wvq5woZaRWJCbX15Cg+E5fmwiltx+OjCqPX7XJj\naeNCwdh1elZu3Y1LplzAM/TUCKabngppIBtxrI8sYDrLzLAxs+k+fsz8+jlY1GjC+1j7H9V9UjKc\ngDsgBEyYUcPmxv6xHuiaLkC1nLL0LJsmZzJ1ly4Yt9QRm2BlD5z64vqsnoOlgjEqx6uYUyJDWOl7\nXNa8GFfOKMC1ZaO31H5HHTZ2Xr/bx51OWW9RY5HBeY9vWYqbF93InWZVsCkgkUKxcbJnpdKbNDMg\n94SlxztmRq39jM0T+bn7ydyQsy4uqwWV6noAHMlZKowwIt4KXDf307b6caUUeT0qJ1P1nFROKyC2\ncokYYaE+lY6NMqO7NFd54z4EUTlK5088Gw+c+iOlIzanbia+vvAG+N0+Qe9Tx4KuUdExLdxzR4VI\nqkYdW7q/yjXI5jnVUOqvLrgeS5sW8r+FzKilxxmJGq2H1TTNlukqVZvJYK6MRC9shOHSXNgxvAvp\nXEZwcpwQWU5C9YRf99t6Kx+OyDBdc8zmPVAdRp+nn+wJcnZPQNm4vcIanVM7E5+f+2nbGFyaC1+Y\n+xl8dcH1aA412vQ/XVPs/Oy9qDKjjBPF6fkWiFIVzqiFNqGoDkM3EDZCuOO4b9psWTnQx+YkhTvP\nrZuF6+Zcjc/PuUY5HirsHbs1vexgxVFn9AhFyaaby4OVfapqRp2E0dYfjPUh6PPAa+hY0b1SOIYS\nyPx+w6O2OiXAhNC+3rUcf9j0Z+Hz5/e8hL7EAPYTFlS5Fccb+1fw/w8lh3kULJfPYZeVqWwKNiCV\nS+PVfW9ydldWd7Cie6WQIczksxx+yOCyp7adICywVDYlOJmj6TEMJYfxTs/7fLFGLVa3Um1gzMbW\nYq81JnQTqPZVKR2g8RIb3w4r43Fck5pSnIlZU1mvpGhXObGMiZY7o2QDumzKhZhSNYkrr/pALTRN\nw/TqKTyqTDdHplRVRqXP7bUZEbF0HKPpMbg0F4frUVFlIJwyZExUm5vKMFaxx5njVJ+/wggL0bla\nf7WYPZMgYKWEsuSpoE/yfQY89tYugNnT8ZzxZzheR85OqYTTutM2ElbApIbUDXl1Lzoi49BAepax\ngEulN4I7jr0ZXzjmM8K56Zyr9lXhlLbjceO8a/GhjtOFzXlWjdl/8CKrvYk1eC7FYM+XTL4AJ7Ue\np/zukzM+iitnfMzxt05CjZH2inH4+sIbMNWCicpMlipIF9tEKUw3YlTwtVFhGVUVRhi3L/06vrrg\n8+bx5Lqfn3sNbl/6NcGgDHr8wsZMA0WAST5T5RMDJU4GHzO+VJlEp6BMh9SOh/bEo+cqBVNXZUmK\n1UDLBjsLMC1sOAaXT7tE0EOa5HyWCgzlUEAQ+fj4ffyacuaYBlE+NvUiXDXj47hk0vlCnak6IGeH\nxwGFd6dCF0ytmgS/24drZ18p7CeAaKg6wffY+nfxDIPkWBOdIp9DzlrI45Of89njT8Mti7+sHEcx\nUfWEZkKdR6fsLiAZ2GSc1GGrMMKcCRcQnQOqg4PuAK6bc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un0nNNxBsYpnENq5M6unYF7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\n/weyn4vTW3biQQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1820aa630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# медиана и среднее\n",
    "fig, ax = sns.plt.subplots()\n",
    "fig.set_size_inches(16,10)\n",
    "phout1 = phout1[2000:-1000]\n",
    "phout1.groupby(level=0).rt_ms.agg([np.mean, np.median]).plot(ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1820afc18>"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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JudEB/Abs8vBdGAHgQH0fwhyHBeV8Rt+VJGv3p2f34sF1h7FxdxsAYGF5LjQq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m/6psnIlB45/KRaq1u0snm5arw12tC+VqFoKKEkC8C0nrFe9U8MOP64t+/4vv7x0f+n777w35Ji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\necf+PAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1820cae48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# сглаженные медиана и среднее\n",
    "fig, ax = sns.plt.subplots()\n",
    "fig.set_size_inches(16,10)\n",
    "phout1 = phout1[2000:-1000]\n",
    "phout1.groupby(level=0).rt_ms.agg([np.mean, np.median]).rolling(window=10).mean().plot(ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x136d0ee48>"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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IaE8XAHeHcAFlDuXek+rLmdpUwcr1zazZ6BzItncFuePhlXT1hPnAiVO59hPz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Nnb+59pPuYqnzWMF6ZRjxOMH+QbL59KyOFazXLlQwEGMtC15DLtsCOJo3KAQcUV/PAbb2bVNl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\nwAAAAEzhGzGc0R9x8V3oAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12d7ef550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# сглаженные медиана, среднее и rps на одном графике для второго лога\n",
    "fig, ax = sns.plt.subplots()\n",
    "fig.set_size_inches(16,10)\n",
    "phout2.groupby(level=0).count().time.rolling(window=10).mean().plot(title=\"RPS vs timings\", ax=ax)\n",
    "phout2.groupby(level=0).rt_ms.agg([np.mean, np.median]).rolling(window=10).mean().plot(ax=ax, secondary_y=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x16038d278>"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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PDz30MFOnTsRut2Oz2YiPTwj5vrRo0ZLZs99Gqbb07XsVmzdvpGfPXlV6HiGEEEIIIYQ4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\nIHTK7NXUiworN38XIDGmDrd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6p3Aou5CdB/KYPnc9k+/tecKfhy+w9CtljwhzP4M3Oxzq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\nf+nye9jdNcRkcZre0ilyYxOI4X6s0hiKIPhCznsdL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5Xx4ucRlTp6RUXRt0t7FmitMELZ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BcQ8jYdSn35BPCyd5/0O+Crx/wNiEFToO78APik1vp8TLbkL0ndKUwCYHE8+yPd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\nEv4fReFz1vdaWeMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12d7eacf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# сглаженные медиана, среднее и rps на одном графике для времен соединения, отправки, обработки и получения данных\n",
    "fig, ax = sns.plt.subplots()\n",
    "fig.set_size_inches(16,10)\n",
    "phout2.groupby(level=0).count().time.rolling(window=10).mean().plot(title=\"RPS vs subtimings mean\", ax=ax)\n",
    "(phout2[[\n",
    "    \"interval_real\", 'connect_time', 'send_time',\n",
    "    'latency', 'receive_time']] / 1000.0).groupby(level=0).agg(np.mean).rolling(window=10).mean().plot(ax=ax, secondary_y=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1608f54e0>"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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fK4WmaXTqdBW7du0MnufcseXn5HA4SmXj8/Jyg4tChRBCNEyWZYGpOJj9HdtP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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x16089aa90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# процентильный график\n",
    "\n",
    "def percentile(n):\n",
    "    def percentile_(x):\n",
    "        return np.percentile(x, n)\n",
    "    percentile_.__name__ = 'percentile_%s' % n\n",
    "    return percentile_\n",
    "percentiles = [percentile(n) for n in [1, .75, .5, .25, 0]]\n",
    "\n",
    "fig, ax = sns.plt.subplots()\n",
    "fig.set_size_inches(16,10)\n",
    "phout2.groupby(level=0).count().time.rolling(window=10).mean().plot(title=\"RPS vs timings\", ax=ax)\n",
    "\n",
    "phout2.groupby(level=0).rt_ms.agg(percentiles).rolling(window=10).mean().plot(\n",
    "    title='Phout2 percentiles vs rps', kind='area', stacked=False, figsize=(12, 10), linewidth=0, ax=ax, secondary_y=True)"
   ]
  }
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