paix120/UsesThis API - Software that people that use _____ also use

## UsesThis API - Software that people that use _____ also use
{
 "metadata": {
  "name": "",
  "signature": "sha256:ac29aa66fa648fd6798841e5524336ac80424bdd5f56e4c1b758ed6d9d543bac"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import requests \n",
      "#software list API for \"python\"\n",
      "r = requests.get(\"http://usesthis.com/api/v1/software/\"+ input(\"Enter the name of a software product or web app:\").lower())\n",
      "#view the generated url, response status, and content-type\n",
      "print(r.url + '\\nstatus:' + str(r.status_code) + '\\ncontent-type:' + r.headers['content-type'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "name": "stdout",
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Enter the name of a software product or web app:Android\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "http://usesthis.com/api/v1/software/android\n",
        "status:200\n",
        "content-type:application/json\n"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import json\n",
      "#get json text\n",
      "j = json.loads(r.text)\n",
      "print(j)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "{'gear': {'interviews': [{'slug': 'alice.rutherford', 'name': 'Alice Rutherford'}, {'slug': 'pascal.finette', 'name': 'Pascal Finette'}, {'slug': 'karl.anderson', 'name': 'Karl Anderson'}, {'slug': 'joshua.stein', 'name': 'joshua stein'}, {'slug': 'colin.gourlay', 'name': 'Colin Gourlay'}, {'slug': 'cynthia.krueger', 'name': 'Cynthia Krueger'}, {'slug': 'jim.munroe', 'name': 'Jim Munroe'}, {'slug': 'david.fox', 'name': 'David Fox'}, {'slug': 'eric.mill', 'name': 'Eric Mill'}, {'slug': 'joel.david.hamkins', 'name': 'Joel David Hamkins'}, {'slug': 'yan.zhu', 'name': 'Yan Zhu'}, {'slug': 'matt.cutts', 'name': 'Matt Cutts'}, {'slug': 'holmes.wilson', 'name': 'Holmes Wilson'}, {'slug': 'romain.guy', 'name': 'Romain Guy'}, {'slug': 'jerry.belich', 'name': 'Jerry Belich'}, {'slug': 'christian.neukirchen', 'name': 'Christian Neukirchen'}, {'slug': 'lynn.root', 'name': 'Lynn Root'}, {'slug': 'nick.bradbury', 'name': 'Nick Bradbury'}, {'slug': 'floor.drees', 'name': 'Floor Drees'}, {'slug': 'flourish.klink', 'name': 'Flourish Klink'}, {'slug': 'ben.welsh', 'name': 'Ben Welsh'}, {'slug': 'ethan.schoonover', 'name': 'Ethan Schoonover'}, {'slug': 'eric.s.raymond', 'name': 'Eric S Raymond'}, {'slug': 'lou.montulli', 'name': 'Lou Montulli'}, {'slug': 'ryan.north', 'name': 'Ryan North'}, {'slug': 'benjamin.mako.hill', 'name': 'Benjamin Mako Hill'}, {'slug': 'yanier.gonzalez', 'name': 'Yanier Gonzalez'}, {'slug': 'brad.fitzpatrick', 'name': 'Brad Fitzpatrick'}, {'slug': 'tom.scott', 'name': 'Tom Scott'}, {'slug': 'robert.love', 'name': 'Robert Love'}, {'slug': 'jeff.lamarche', 'name': 'Jeff LaMarche'}, {'slug': 'adam.glazier', 'name': 'Adam Glazier'}, {'slug': 'dave.shea', 'name': 'Dave Shea'}, {'slug': 'laura.khalil', 'name': 'Laura Khalil'}, {'slug': 'colin.percival', 'name': 'Colin Percival'}, {'slug': 'tim.bray', 'name': 'Tim Bray'}, {'slug': 'danah.boyd', 'name': 'danah boyd'}, {'slug': 'violet.blue', 'name': 'Violet Blue'}, {'slug': 'gina.trapani', 'name': 'Gina Trapani'}], 'slug': 'android', 'description': 'A mobile phone platform.', 'url': 'https://developers.google.com/android/?csw=1', 'name': 'Android'}}\n"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#loop through interviews and store software titles in a list\n",
      "software = []\n",
      "#print('People that use python use:')\n",
      "for i in j['gear']['interviews']:\n",
      "    #print('\\n' + i['name'])\n",
      "    #do another request to the interview api to get each person's software\n",
      "    r2 = requests.get(\"http://usesthis.com/api/v1/interviews/\" + i['slug'])\n",
      "    intvw = json.loads(r2.text)\n",
      "    for s in intvw['interview']['gear']['software']:\n",
      "        #print(s['name'], end=', ')\n",
      "        software.append(s['name'])\n",
      "from collections import Counter\n",
      "counts = Counter(software)\n",
      "#only get the items that are used by more than 4 people, and remove the python count since they all have it\n",
      "#got this from here: http://stackoverflow.com/questions/4484690/how-to-filter-dictionary-in-python\n",
      "counts_over4 = dict([(labels, values) for labels, values in counts.items() if values > 4 if labels != 'Python'])\n",
      "#print(counts_over4)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#sort the list\n",
      "from operator import itemgetter\n",
      "#create a visual of the items that more than 2 people use\n",
      "#got this from here: http://stackoverflow.com/questions/19198920/using-counter-in-python-to-build-histogram\n",
      "%matplotlib inline\n",
      "import numpy as np\n",
      "import matplotlib.pyplot as plt\n",
      "labels, values = zip(*sorted(counts_over4.items(), key=itemgetter(1)))\n",
      "indexes = np.arange(len(labels))\n",
      "height = 0.25\n",
      "plt.figure(num=1,figsize=(10,15))\n",
      "plt.barh(indexes, values, height)\n",
      "plt.yticks(indexes, labels, size='small')\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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S+GwzU3krYDvgJy013Rs4A9gH+FCzbSWwF/Ar4Jw1B1bV6iRHAh9N8hvgSODGPz2ls6S1\n4XQ6E4MuQZI0onq9Hr1eb73bL1Rg/CLQS/KBqvpxkunXXd284zhFP1ReD9yY5IHA1cBDgQ8A1zbL\nZwO7Av8+4xpfB55eVVNJNqqq1bPUEYAkD2nOtRLYA9idfjDdHbgG+AXwGOAzzfEBzqmqs5I8G3gR\n8OaZJ3cGqyRJGkbdbpdut3vb+uTk5Dq1X5DAWFWrkrwE+Hj/52dYDby72f16+j19BRxbVTcneQPw\nYfoB7wtV9f0k7wBObt5P/A1wy5rTN99HAKcm2Qj4bZIDZpnQ8sUkvwf+B3hmVf02yYeAk5IcTH/Y\n/B+q6vdJnpDkPOB3wDOBE5PcCdgYeOn8PiFJkqThNTK/w5hk46q6tVk+CXhPVa28nWYLJkmNyrOU\nJEmL29D+DuM82L6ZtXwB8IthCouSJEnjbGR6GIedPYySJGlUjHMPoyRJkgbAwChJkqRWBkZJkiS1\nMjBKkiSplYFRkiRJrQyMkiRJamVglCRJUisDoyRJkloZGCVJktTKwChJkqRWBkZJkiS1MjBKkiSp\n1ZJBFzBOkjn/G95axDqdCaamVg26DEmS5ixVNegaxkKSAp+l5iL4906SNEhJqKo593Q5JD1Nkp2T\nvGTQdUiSJA0TexjniT2Mmjt7GCVJg2UP4zpIcmyS3ZvlRye5KMkxzfplSf45yaVJnp/kY0m+nuRp\ng61akiRpYS32SS+fAA4GLgaeCZwMbNvsuwvwD8DPgeuBHYBbgM8Cn1nwSiVJkgZksQfGC4BjkmwC\nPAg4Cdiu2XdTVV0HkOQ7VfXfzfJmaz+ds6R1+zqdiUGXIElaZHq9Hr1eb73bL/p3GJsh6N8BvwXO\nAfavqtcmWVlVuzXHTF++sKr+1yznqcX+LCVJ0mhY13cYF3sPI/SHpS8CHgzci9lnrtRaliVJksbe\nou9hnC/2MEqSpFHhLGlJkiTNKwOjJEmSWhkYJUmS1MrAKEmSpFYGRkmSJLUyMEqSJKmVgVGSJEmt\nDIySJElqZWCUJElSKwOjJEmSWhkYJUmS1MrAKEmSpFYGRkmSJLUyMEqSJKnVkkEXME6SDLoEjYBO\nZ4KpqVWDLkOSpDlLVQ26hrGQpMBnqbkI/r2TJA1SEqpqzj1dQzsknWRpktVJus36pkluSvJ/1/N8\nSfKWJOcmOS/Jy6fte2eS85vtb5zR7t5JvpJko2b980n+8g7cmiRJ0kgZ9iHpS4ADgR7wGOAa1r8b\n7wXAVlX1qCQbA59L8k3gBuC+VfVIgCRbTW9UVdcnOR14cZIfAD+sqivWswZJkqSRM7Q9jPSD4feB\n+zTrBwCnAgFIclKSXtMreJ9m25OSXJhkRZLnzjjfM4FjAKrqVuAfgWcBvwF2TPLAZt/PZ6nl3cDz\ngDcBb5xlvyRJ0tga5sC4xoVJlgHb0O8NXOMFVdUF3kW/9y/A24DHVtU+wEkzznNv4Ppp69cB966q\n7wJHA+9LcnWSp8wsoKp+B3wD+H5VOVtBkiQtKsM8JL3mRcxTgU8BJ9y2o/8+4TFJdgI2B64E7kZ/\nuPhXAPWnswp+DGwLfK9Z344mQFbVJ4FPJrkHcDZw+h8V0r/ONv3F7FRVV7aXLK1dpzMx6BIkSYtM\nr9ej1+utd/uhnSWdZClwTFUdlOSfgHfQf49xC+BC4PCqOiTJ04D9gecDlwGPrKr/SZLpoTHJC4Gd\nq+plSZYAn6U/1HwZsFFV/SzJZsCFVbXrjFrOAl4ObAy8u6qeMEu9s2RUSZKk4TM2s6Tpv8NYAFX1\nyqq6btr2bwPbJ/kysKx/SBXwBuDsJMuB58w4378AU0nOoz+J5stVdTZwF+DUJOcCy4G3TG+U5OnA\nlVV1TVV9C7g6yQHzf7uSJEnDaWh7GEeNPYySJGlUjFMPoyRJkoaAgVGSJEmtDIySJElqZWCUJElS\nKwOjJEmSWhkYJUmS1MrAKEmSpFYGRkmSJLUyMEqSJKmVgVGSJEmtDIySJElqZWCUJElSKwOjJEmS\nWhkYJUmS1GrJoAsYJ0kGXYJGQKczwdTUqkGXIUnSnKWqBl3DWEhS4LPUXAT/3kmSBikJVTXnnq6h\nGpJOsjTJT5OsSPLVJA9Pcsoc2z41yd3W8Xor169SSZKkxWOoAmOjV1X7AC8H3sbcu+0OAO6+waqS\nJElapIYxMK5xOfBI4N5JPpHkiiT7ACTZJ8mFzeeQJEuBxwMfTXJ0kk6S05P0kpycZJMkj0hyUZLl\nSd7UXGOjJMc221/XnHu7JP+R5Jwkxzbbnpfks0nOSHJuknsv+NOQJEkakGEOjMuAM4GtgWcDzwBe\n1ux7G7AfsDfwCuCG5tjnVdURwIuBL1RVF/gGcDDwJGCyqvYF3tycZyvgHcCewCHNtiOAd1TVMmDz\nJHvT7+X8VVXtB7wV+NsNdM+SJElDZxhnSS9LsgL4JXA48PaqWp3kR8BEc8zGVbUKIMm1wMwevx2A\n45vllcBewHHAG5M8BzgJ+BJwU1X9sDnPzdParpzWdkfgVuCyZtslwCtnL91Z0rp9nc7E7R8kSdI8\n6vV69Hq99W4/jIHxnKo6CPqTYPjjdxjXJLLVSbYGpugHuuuBW/jD/VwL7AF8DdgduAb4RVW9PMmm\n9EPfl5j9/cg1bc8EdgNOoB8id232Pxz4zmyFO/NVkiQNo263S7fbvW19cnJyndoPW2As/jjEzbYO\n8HrgjGb92Kq6OcmXgPck+Xf6vYknJTmY/nD10cBfJzmQ/j1/dC3XBng78LEkrweurKrzk+wAbNpc\n487As+bhXiVJkkaCv8M4B0kOA7aoquNajimfpSRJGgUj/TuMQ840KEmSFiV7GOeJPYySJGlU2MMo\nSZKkeWVglCRJUisDoyRJkloZGCVJktTKwChJkqRWBkZJkiS1MjBKkiSplYFRkiRJrQyMkiRJamVg\nlCRJUisDoyRJkloZGCVJktRqyaALGCfJnP8Nbw2RTmeCqalVgy5DkqShlaoadA1jIUmBz3I0Bf8e\nSJIWkyRU1Zx7usZySDpJJ8nnk6xIckGSJyRZOei6JEmSRtG4DkkfCnypqt4HkOQuA65HkiRpZI1r\nYPw1sE+ST1fVT6rqF2veL0zyRmA18DDgFVV1XZIXNdtuAQ4ANgE6wMFVdX2S5wHPBzYG3lhVKxb8\njiRJkgZkLIekgX8DrgbOaoak7w+Q5C3A/1TV25pjnt0cfyDwKSDAr6pqP+CtwN8muSvwzKp6FPA4\n4E0LeyuSJEmDNZY9jFX1e/qB761JHgP8PbA9/cC3Z3PYGcCZST4B/KKqpvoTV7is2X8J8EpgB+DB\nSdb0Km6z9is7S3oUdToTgy5BkqQNqtfr0ev11rv9WM6STnJf4Iaq+l2SnYG/ox/83gY8HTikqlYn\neS/9AHhyVX2+GXp+dFUdkuTxwJPoh82PVdX+zbmXNIF05jVrHJ+lJEkaP+s6S3osexiBnYBPJrm5\nWX8Z8NGqOi3JnwEfAv4K+BhwFnBIc1wBmyb5EnBn4FlV9bMkn0hyDnArcCX9nkdJkqRFYSx7GOcq\nycOBQ6vqFc36YcAWVXXcepzLHkZJkjQS7GGcoyT/G/hb/jDxZQ1TnyRJ0jSLuodxPtnDKEmSRoX/\n0oskSZLmlYFRkiRJrQyMkiRJamVglCRJUisDoyRJkloZGCVJktTKwChJkqRWBkZJkiS1MjBKkiSp\nlYFRkiRJrQyMkiRJamVglCRJUqslgy5gnCRz/je8NUQ6nQmmplYNugxJkoZWqmrQNYyFJAU+y9EU\n/HsgSVpMklBVc+7pGqsexiRLgZXAVc2mC6vq9QMrSJIkaQyMVWBs9KrqoEEXIUmSNC7GftJLkm8l\nOSHJ5UkOSnJKkiuS7Nnsf1eSXpKvJtm52bZ7kvOSrEjymiQ7JLkgyfIk7x/sHUmSJC2ssXqHsRmS\nvhj4RrPpNOAoYDtgW2AF8OfAA4FXV9VhSTavqt8k2bXZ9twk5wPPrKrr0p/J8n+AO1XV+5OkZnlo\nvsM4ynyHUZK0uCzqdxgb50wfkk5yaFX9OsmPgWur6ndJrgcmmkNel+TRzfItzfemVXUdQFVVkk8B\nb0pyInAW8G+zX9pZ0qOo05m4/YMkSRphvV6PXq+33u3HsYfxmBmBcWVV7ZZkC+DzVbVPkm2AjwKH\nAZ+rqr2TPAx4Z7P/PPo9jNc3PYx3qqqbm/NdVVUPmeXas3U8SpIkDR17GGFZkhXN8jf543Himcs3\nAaua4y+atv9VwKeS3AKcAfwgycuafWdusMolSZKG0Fj1MA6SPYySJGlUrGsP49jPkpYkSdIdY2CU\nJElSKwOjJEmSWhkYJUmS1MrAKEmSpFYGRkmSJLUyMEqSJKmVgVGSJEmtDIySJElqZWCUJElSKwOj\nJEmSWhkYJUmS1MrAKEmSpFYGRkmSJLVaMugCxkmSQZewqHU6E0xNrRp0GZIkjZ1U1aBrGAtJCnyW\ngxX88yxJ0u1LQlXNuadrKIakk3woye7N8t8k+WKznCTfSHKPJEfN8Vz7JzlynuvbLMmK5vPVJJfN\n5/klSZKG2bAMSV8E7AFcDDwUuKXZfn/g21V1I3DUYEqDqroZ2AcgyWHAfQdViyRJ0kIbih5G+oHx\nEc3y5sCVSXZstl2YZPskpwAk6SV5V5JzkhzbbLtLkjOTfAl4zpqTJnlVkguSnJdk1yQ7Jvlgs+/c\nJIckuVOSLyWZaM69PMlpLbUeBHxq/h+BJEnScBqWwPgt4EFJ7gb8hH5P4x7A7sCFM44t4LSqWgY8\nLMmWwAuBT1fVE4HvASS5B/DUqtoTeC7w9qr6DnD/JJsCq4C9gIcDK4Fdga9W1b7AgbMVmWQr4J5V\ndfW83bkkSdKQG4oh6apaneS/gf3ph8WLgTfSH55+FXCvGU2+1nxfB2wF7AAc32xbCewELAUub87/\n/SbsAfy0uc6ZwL7Ao4Bzms8jk5zYnP9ds5T6VOCza78TZ0kPUqczMegSJEkaSr1ej16vt97thyIw\nNr4KvAI4uKpuSLIDsLqqfjvLz9VMnwob4Fr64fJrwG7AzfR7GndJv/H2wE3N8ecDrwcOAx5MPwT+\nE7BJVf09QJKzknyyqn4047pPB169thtwhq4kSRpG3W6Xbrd72/rk5OQ6tR+WIWnov8e4dNpw7y+B\nS6ftX1saK+DDwDOSnEW/N7KaiTKfAy4ATgKOaI4/H9i+qr4BnEf/4F8DuzfvNfboD4tfN/0iSe4C\n3KOqrrlDdylJkjRi/B3GeZKkfJaSJGkUjOTvMEqSJGl4GRglSZLUysAoSZKkVgZGSZIktTIwSpIk\nqZWBUZIkSa0MjJIkSWplYJQkSVIrA6MkSZJaGRglSZLUysAoSZKkVgZGSZIktTIwSpIkqZWBUZIk\nSa2WDLqAcZJk0CUsap3OBFNTqwZdhiRJY2csehiTLE3y0yRnJzknyTuTbL6WY49Kst+MbfdIctQd\nr6T8DPDzy1/eNIf/RpIkaV2NRWBs9Krq0VW1DPg1MLmW4+pPNlTdWFVHbcjiJEmSRtU4Bcbp3gw8\nJcnDkixPcm6SV0/b/5wkX2o+WzQ9lKcAJHlNkhVJLk3ymGbbCUnen+TLSU4bxA1JkiQNylgGxqq6\nBbgTcDRwQFU9CliW5O7NId+tqicCnwVeyB/3Oh5XVfsATwTeuOaUwFeq6nHAb5PstBD3IUmSNAzG\nctJLkjsBNwN/CXy2mYyyFXCf5pDLmu+VwAtmND80ybOB1cA9p23/WvP9Q2BiA5QtSZI0lMYyMAJ/\nR7/38KHAQVU1lWSjqlqd5MnArsCpwG7Ad2a0fRn9oHl34Lxp26f3Qq5lOrSzpAep0zHHS5I0m16v\nR6/XW+/24xQYlyVZDmwMXAS8CXgwcGqSjegPJR9AP/jdJ8lZ9HsRDwK24Q+B8HzgK805frmWa/3J\nxBmAqlk3S5IkDVS326Xb7d62Pjm5trnBs4shZ34kKZ+lJEkaBUmoqjkPjY7lpBdJkiTNHwOjJEmS\nWhkYJUmS1MrAKEmSpFYGRkmSJLUyMEqSJKmVgVGSJEmtDIySJElqZWCUJElSKwOjJEmSWhkYJUmS\n1MrAKEmSpFYGRkmSJLUyMEqSJKmVgVGSJEmtlgy6gHGSZNAlLGqdzgRTU6sGXYYkSWNn6HsYk2yW\nZEXzmWoFXM5eAAAgAElEQVS+lyfZ6nbaLUuyY7O8NMnqJN1mfdMkNyX5vy3tX7ju1ZafAX5++cub\n5vDfSJIkrauhD4xVdXNV7VNV+wBXN8v7VtXPb6fpPsD9p61fAhzYLD8GuIZ+0libF6130ZIkSWNk\n6APjTEnul+SspqfxH5ttb0lyaJLNk5yb5L7AYcA/JDmBfjD8PnCf5jQHAKcCadqflKSX5Lwk90ly\nAPCA5hrPSvLnSc6cfk1JkqTFYuQCI3A08NKmx3GzJA8DJoHnA8cD766qHwAnAEdU1fOmtb0wyTJg\nG+CGadtfUFVd4F3Ai6vqNP7Qm3nyWq4pSZK0KIzipJcHAv/STDDZAjizqi5N8kng8Ko6ZNqxmfF9\nKvAp+mGyvyPZCDgmyU7A5sCVs1zzAcBHpl8TuHS+bkiSJGmYjVpgDPBt4LVNLyJJNk6yNfAs4KQk\nL6mqDwC3ABtPb1xV1yY5D/gM/fcYAXYB7lJVy5I8Ddh/zeHTml4NvGb6Nddengal05kYdAmSJA2l\nXq9Hr9db7/apapv3MVySXAw8A3gfsBlwK/2h6KOB9wIr6ff+vQS4O/B24DLgPcA7q+qgaec6DLgz\n/d7GM4Gb6YfRLarq+UneTr9n8aPAFcBx069ZVT+cUVuN0rOUJEmLVxKqas49XSMVGIeZgVGSJI2K\ndQ2MozjpRZIkSQvIwChJkqRWBkZJkiS1MjBKkiSplYFRkiRJrQyMkiRJamVglCRJUisDoyRJkloZ\nGCVJktTKwChJkqRWBkZJkiS1MjBKkiSplYFRkiRJrQyMkiRJarVk0AWMkySDLmFR63QmmJpaNegy\nJEkaO6mqQdcwFpIU+CwHK/jnWZKk25eEqppzT9dIDUkn2SzJiuYz1XwvT7LVHTjnB9ajzcr1vZ4k\nSdKoGdkexiQrq2q32zkmtQFucLZr28M4DOxhlCRpLsa6h3GmJPdLclbT0/iPzbbnJflEktOBJyT5\nVpITklye5KAkpyS5IsmezfErm++jkvxrkjOS9JrezI2S/Huz/uUknQHeriRJ0kCMdGAEjgZeWlX7\nAJsleRj9br7fVdVTqupLwD2AvwaeDrwbeA7wXODFM85VwDVVtR9wEfDYqloNPKWqusAXgWcuwD1J\nkiQNlVGfJf1A4F+a2clbAGc126e/Y/jdqvp1kh8D11bV75JcD0zMcr6vNd8/BCaS3Bk4Psm2wF2B\nU9rLcZb0IHU6s/0nlSRJvV6PXq+33u1HOTAG+Dbw2qr6AUCSjen3Hq6edlytZfn20l2Ax9MPnM9J\n8iqgdUja9+ckSdIw6na7dLvd29YnJyfXqf0oB8bVwN8CH0iyGXAr8Pxm39pC4mzLbfsvAl6fZFfg\nRuD781C3JEnSSBnZWdLDZgNNyJYkSZp3i2qWtCRJkjY8A6MkSZJaGRglSZLUysAoSZKkVgZGSZIk\ntTIwSpIkqZWBUZIkSa0MjJIkSWplYJQkSVIrA6MkSZJaGRglSZLUysAoSZKkVgZGSZIktTIwSpIk\nqdWSQRcwTpIMuoRFrdOZYGpq1aDLkCRp7KSqBl3DWEhS4LMcrOCfZ0mSbl8SqmrOPV0jOSSdZGmS\nU5rlHZOsTLLdPF9j5yS7zec5JUmSRtFIBsY1kmwLnAQ8p6p+NM+n3xXYfZ7PKUmSNHJGNTAWsDXw\naeDFVXVNktcn6SU5J8lDmh7CDwIk2SjJBem7LMmxSS5K8rpm/3ZJ/qNpe2xzjZcCr0xyZnPMH51/\nAPcsSZI0EKMaGEO/B/AnVfW1JsDdv6q6wLOAt1TV5cD9k2wKLAN61X/B7S7AO4A9gUOa8x0BvKOq\nlgGbJ9kbeB/wnqp6wmznX6gblSRJGrRRnSVdwH8A1yWZBK4C9kyyotn/++b7dGB/4InAu5ttN1XV\nDwGS3Nxs2wFY2SyvBHYEbqUfTAH+Yi3nn8FZ0oPU6UwMugRJkoZSr9ej1+utd/uRnCWdZClwDPAM\n4DRgObBTVb2w2b+kqn6f5O7Ah4E7V9Wjm30rq2q36cvNMPQZVXVmkg8DJwD3Bbapqvcm2Ql4xczz\nz6ipRvFZSpKkxWdRzJKm38NYTUJ7NnAw8J3mHcPlwGvpH/AT+t1+X5jRduby24HXJjkX+G1VnQ9c\nCByU5MSqunK280uSJC0GI9nDuC6SnAa8pKpu3MDXsYdRkiSNhMXSwzgnSU4FvrOhw6IkSdI4G/se\nxoViD6MkSRoV9jBKkiRpXhkYJUmS1MrAKEmSpFYGRkmSJLUyMEqSJKmVgVGSJEmtDIySJElqZWCU\nJElSKwOjJEmSWhkYJUmS1MrAKEmSpFYGRkmSJLVaMugCxkky53/DWxtApzPB1NSqQZchSdLYSVUN\nuoaxkKTAZzlYwT/PkiTdviRU1Zx7ukZqSDrJ0iQ/TXJ2knOSvDPJ5nfgfCvnsz5JkqRxNFKBsdGr\nqkdX1TLg18Dkmh1JRvF+JEmShtqoB6w3A09NsiLJ24Ezk3SSnJ6kl+TkJJsk6Sb5crP94iQPadpv\nlOSDSS5I8hqAJNsl+Y+mB/PYZtu/JlmW5O5Jzk1ypwHdryRJ0oIb6cBYVbcAm9J/efDMqnoc8GLg\nC1XVBb4BHNzs37yqngIcCry1OcUE8E5gL+DJSe4GHAG8o+nB3DzJ3sArgLcBxwOvqqrfLtAtSpIk\nDdxIz5JuevpublbXvI+4A/1gt2bbXsAPgK8BVNW3k9yr2f+rqvpOc67Lgfs17VdOa79jVZ2X5Hzg\noVV1SUtF83BXWl+dzsSgS5AkaSj1ej16vd56tx/pwAj8HfBZ4BHA6mbbtcAe9APi7sA1zfZdAJI8\nALi+2bZFkv8P+E/gL4HvTWt/JrAbcEKS+wM7A99J8oSqOnO2YpyhK0mShlG326Xb7d62Pjk5ufaD\nZzFSP6uTZClwMXAVsDFwEXAk8CVgv6r6dZItgZOADnAD8FzgkcCrm9PcA3h+VV2V5FLgQuBhwKlV\ndUyS7YCPAZsAVwIvox8eXwz8tFl+clX9fEZtNUrPUpIkLV7r+rM6IxUY11eSZcD+VfXaDXgNA6Mk\nSRoJY/07jHeQaU6SJGk9LIoexoVgD6MkSRoV9jBKkiRpXhkYJUmS1MrAKEmSpFYGRkmSJLUyMEqS\nJKmVgVGSJEmtDIySJElqZWCUJElSKwOjJEmSWhkYJUmS1MrAKEmSpFYGRkmSJLVaMugCxkky53/D\nWy06nQmmplYNugxJktRIVQ26hrGQpMBnOT+Cfy4lSdpwklBVc+7pGrsh6SS7JLkhyYok/5Xkimb5\n4EHXJkmSNIrGuocxyZHAyqr64gJcyx7GeWMPoyRJG5I9jEk3yTF/vClLk5zSrGyRZEWz3EvyriTn\nJDm22bZZkhOTnJ3kc0k6SXZIckGS5UneP4DbkiRJGphxnPQyW9fU2rqrCjitql7dBMItgUOBs6vq\no0meAbwIuAn4t6p6f5zZIkmSFplxDIyzmR4YZwa+rzXf1wFbAX8BPDzJocAmwLnAB4E3JTkROAv4\nt9kvY5acD53OxKBLkCRprPR6PXq93nq3XyyB8efAts3yzjP2zQyT3wIuqKoTAZIsAZZU1eua9atY\nS2D0vTtJkjSMut0u3W73tvXJycl1aj+ugXF6cquqmkrytSTnAufTPkR9PHB8kv/TbHsXsEWSlzXr\nZ26QiiVJkobUWM+SXkhJymcpSZJGwaKfJS1JkqT5ZWCUJElSKwOjJEmSWhkYJUmS1MrAKEmSpFYG\nRkmSJLUyMEqSJKmVgVGSJEmtDIySJElqZWCUJElSKwOjJEmSWhkYJUmS1MrAKEmSpFYGRkmSJLVa\nMugCxkmSQZcwFjqdCaamVg26DEmS1EhVDbqGsZCkwGc5P4J/LiVJ2nCSUFVz7umyh3GaJHsBbwbS\nfN4L7A38HfAAYNOqWjm4CiVJkhaegbGRZGvgOODxVXVjko2B3arq8Gb/rsCdAQOjJElaVBySbiQ5\nBLhfVf39jO0rgP2B5cAE8N2qesIs7R2SnjcOSUuStCE5JL3+7gXcAJBkX+D/Ab/kDynwfcCdq+p9\ngylPkiRpMAyMf3A9sCNAVS0Hlie5BJiadsztJHFnSc+HTmdi0CVIkjRWer0evV5vvds7JN1Icleg\nR/8dxh8nWQJcCPyK/pD0U4Ftquq9a2lfPktJkjQK1nVI2h/ublTVKuAlwMeTLAfOBN5Df0i66IfH\ng5KcOLgqJUmSFp49jPPEHkZJkjQq7GGUJEnSvDIwSpIkqZWBUZIkSa0MjJIkSWplYJQkSVIrA6Mk\nSZJaGRglSZLUysAoSZKkVgZGSZIktTIwSpIkqZWBUZIkSa0MjJIkSWplYJQkSVIrA6MkSZJaLRl0\nAeMkyaBLGAudzgRTU6sGXYYkSWqkqgZdw1hIUuCznB/BP5eSJG04SaiqOfd0jdWQdJJdktyQZEWS\n/0pyRbN88B087wuTXJTkgiSvma96JUmSRsHY9jAmORJYWVVfvJ3jUrfzEJIsrarvNcvnAQdU1X/P\nOMYexnljD6MkSRvSuvYwjtU7jEm6wH5V9do1m5rtxwIPBm4FnldV1yX5JnAR8IskWwG/Be4PfAv4\nEfBk4CtV9do1YbFxC7B6AW5HkiRpKIzVkDSzdPEl2R9YVVX7Am8Ejmh2bQscXlWHN+vnNMfsAlxV\nVXsCy5JsPO1cBwDXVpUzMiRJ0qIxVj2Ma/Eg4IAkj6Lf4/iDZvu1VfWLacdd0XxfP235RmBL4KYk\nOwMvA/Zb+6WcJT0fOp2JQZcgSdJY6fV69Hq99W6/GALjt4FPVdVbAJKsueeZw8q1luUk2Rb4IP13\nF29e24V8706SJA2jbrdLt9u9bX1ycnKd2o/bkDTMCH5V9Xlg6yTLk5wNHLKO5wswCWwNfLyZdX3/\neapVkiRp6I3tLOmFNofJ1pIkSUNhUf8OoyRJkuafgVGSJEmtDIySJElqZWCUJElSKwOjJEmSWhkY\nJUmS1MrAKEmSpFYGRkmSJLUyMEqSJKmVgVGSJEmtDIySJElqZWCUJElSKwOjJEmSWhkYJUmS1GrJ\noAsYJ0kGXcJY6HQmmJpaNegyJElSI1U16BrGQpICn+X8CP65lCRpw0lCVc25p2tkhqSTLE2yOkm3\nWd80yU1J/rpZf2eS85Ocl+SNM9q+IckzmuX/neSb0/ZdkmTzdaxl5R2+IUmSpBExMoGxcQlwYLP8\nGOAagCR/Ady3qh5ZVXsD/zyj3UXAHs3yHsCPk2yZ5M7ArVX1m7aLxrFmSZK0iI3SO4wFfB+4T7N+\nAHAqEOBmYMckD6yqb1fVz2e0XQkc2SzvAHyCfnD8HXBJkg5wErAl8GPgUGAv4NXALcDnk/weeAXw\nHWCLDXKHkiRJQ2jUehgBLkyyDNgGuAGgqr4LHA28L8nVSZ4yvUFVTQGbJbkTsBr4Kv3AuDtwIfAi\n4AtV1QW+ARxMP6BuWVUHAv8KHA7sCbwc2G5D36QkSdKwGKUexjXDwqcCnwJOmL6zqj4JfDLJPYCz\ngdNntL8ceDbwTeAq4A3AxsAR9HsSP9Qct5J+7+IP6A+BA9wN+FFV3QL8LMl/tZeoO6LTmRh0CZIk\njZVer0ev11vv9qMUGAGoqmuTnAd8hv57jCSZADaqqp8Bv6A/jDzTRfSHlI+oqtVJNgHu15zvWvq9\njZc139c0bVY33z8FtmvadID7raW2+bhFSZKkedXtdul2u7etT05OrlP7UQqM1XyoqlfCbb97WMBd\ngI81k1OWAG+Zpf1XgeOBi5v1a/nD/X8IOCnJwfSHuf+Bfi/jmuvdmuQ9wAXAt+m/SylJkrQo+DuM\n8yT/f3t3HmVZWZ97/PvQjUGhxFbBCQRDHKIXFQHjcqALBUExGByCs5hwI8ZEYgyixEg60Qwa1BsD\nco2KkcEBRcEgAoE+MmuDcCExaFBxYlJbKRTQhv7dP87bUF1Ubbq7qvtUnfP9rFWr9tnj77xrr+bh\nffe7KynbUpIkLQRD+x5GSZIkDYaBUZIkSZ0MjJIkSepkYJQkSVInA6MkSZI6GRglSZLUycAoSZKk\nTgZGSZIkdTIwSpIkqZOBUZIkSZ0MjJIkSepkYJQkSVInA6MkSZI6GRglSZLUafGgCxgmSQZdwlAY\nG1vCxMTKQZchSZKaVNWgaxgKSQpsy7kRvC8lSdp4klBV69zTda9D0kmekeTcJMuT9JK8aHYlQpId\nk5y8jvtuneTfknwlyQVJDuvYd8Us65rV8ZIkScOoc0g6yYOAo4F9qurGJIuA3TdJZXf7IHBGVX2y\n1bTnJr7+PSRJ2QUmSZJGxL31MD4fOKWqbgSoqjur6hLoB7ckF7efV7d1Oyc5v/UEvq2te2SSC5Oc\nnuSTSV7LpLHbJLu1Hszzkrxl8sVbQH3amrDYaljetp3YejzPT7L9lOMenOTzSc5JckKSzZKMJ/ly\nklOSXJHkCW3fVydZkeQkYKu2bu927q8lObytOyjJp5KcBuy7vg0tSZK0UN1bYHwYcANAkme3YelT\n27a/A/YDngW8KckWbd3BVfVMYM8kOwBvBY6sqv2A1dzzQb9/AA6oqj2ApUm2nbTtwcBPZqjt4Koa\nB44CXj9l29uAf66q5wBXAge06y6uqhe17X+QZDPgzcDTgT8FtmvHX9DO/TTgxe27AfyqqvavqjNm\nbjJJkqThcm+zpK8DHg1QVecC5056zm9RVa0ESHIN8HDgIVX1zbb968BO7eeytu4yYOoDlk8EvtBm\nGD+Afmi7qW37Cf3QuJYW9N6bZGfgvsBVU3Z5PPDUJO8EtgCOb+e6om3/IbAE2Ab4YVWtAn6a5Ltt\n+27t2M2BHYBt6QfOS2dsqX5l3Zu1TsbGlgy6BEmShkqv16PX623w8fcWGL8E9JIcW1XXJ5m8/+r2\njOME/VB5HXBjkscB3wSeAhwLXNOWzwF2Ac6eco0rgJdU1USSzapq9ZoNVXVnG/J+RVWdBJBkKXAL\nsHVVLU3yYuAFU87538Dnq+qCdsxi4Bms3bsZ4MfAdkk2B8aAR7Vth9HvtbyWtUPuajr4WKMkSZqP\nxsfHGR8fv+vzsmXL1uv4zsBYVSuTHAKc1H9tDKuB97fNRwCn0w9hH6yq25P8JfAR+gHr36vqe0ne\nA3yyPZ94G7Bqzenb77cBp7Rew18lOaCqbp9Uxp8CH0zyemAR8HngQ8AOSc4Cruaew9zvBv41yZrW\neOuUa1b/69XqJB8ALmrn+V7b/jngC/R7LicmN0lXe0mSJA2jjf4exiSLqurOtnwi8IGqGrrX1zhx\nWpIkLRRz/h7GObBDmwF9EXDzMIZFSZKkYeZfepkj9jBKkqSFYj72MEqSJGkBMzBKkiSpk4FRkiRJ\nnQyMkiRJ6mRglCRJUicDoyRJkjoZGCVJktTJwChJkqROBkZJkiR1MjBKkiSpk4FRkiRJnQyMkiRJ\n6rR40AUMk2Sd/4a3OoyNLWFiYuWgy5AkSU2qatA1DIUkBbbl3Ajel5IkbTxJqKp17ukaiSHpJDsm\n+XGS5UlWJNlvhv0OSvLGTV2fJEnSfDZKQ9K9qnppkkcApwGnT7OP3VqSJElTjEQP4xRLgFtbb+P9\nAJKcnGSHtn2vJKcnOS/Jw5O8MMnb2373T3L2oAqXJEkahFEKjEuTnA9cBPz5DPsE+GVV7Qe8Gzic\nfk/kPm37i4GTN3ahkiRJ88koDUl/pQ1Jvww4mLWHn9c89FnA19vypcChVXVHkv+X5CnAS4BXznwJ\nZ0nPhbGxJYMuQZKkodLr9ej1eht8/EjMkk6yI/Deqnpp+3wpcDPwx8C3gauAfYE9gedU1auT7AM8\nv6oObWHxcGCzNeeY5ho1Cm0pSZIWvvWdJT0qPYzF2j2KHwUeTH94+b+AGybtd58kZwBbAi8HqKqv\nJ/lt4MhNVrEkSdI8MRI9jHMhSQ/Yu6pWzbDdHkZJkrQg+B7GOZbkAUnOAk6ZKSxKkiQNM3sY54g9\njJIkaaGwh1GSJElzysAoSZKkTgZGSZIkdTIwSpIkqZOBUZIkSZ0MjJIkSepkYJQkSVInA6MkSZI6\nGRglSZLUycAoSZKkTgZGSZIkdTIwSpIkqdPiQRcwTJJ1/hve6jA2toSJiZWDLkOSJDWpqkHXMBSS\nFNiWcyN4X0qStPEkoarWuadr3g5JJ9khyWeTLE+yZZKDkrxxPY/fez32f1KS3TesWkmSpOE1bwNj\nU9zdbbe+XU6PAp47dWVmHjfeBXjqupy44xySJElDZ74HxmkluXTS8or2+2+TXJjknCS/AxwCHJjk\n3CRLknwjyceA9yXZK0kvydeSHN5O9Qbg0CRfbuc7Ksn57Xw7tHV3nWNTfl9JkqRBWqiTXqbrbdwb\neHpVrW49gB8CflBVhwEkeQTw5qq6Ocl9q2o8yWbAJUn+D3AMsGVVHZNkN+DhVfWsJM8E3gn8IXDX\nOTbBd5QkSZoXFmpgnGzN8PCRwHFJbmvLU4eNr5kU9HZL8k5gc2AHYNsp59oJWNGWLwX+bppzdJSi\n2RgbWzLoEiRJGiq9Xo9er7fBx8/3wBimT2FbtN7B7YA16eK8qjozySuAPwLOARZNOmb1pOXDgNcD\n1wKXtWusmrT/NcDvteXdgW9Nc457cGavJEmaj8bHxxkfH7/r87Jly9br+PkeGCdPemHS8onAxcAF\nwM/aui8kuQ/90PcG4PvA3yf5NP0AOdnngC8AVwET7bwXA59I8tSqelWS65OcTz9Ivm7K9SVJkkaG\n72GcI0nKtpQkSQvB0LyHUZIkSfODgVGSJEmdDIySJEnqZGCUJElSJwOjJEmSOhkYJUmS1MnAKEmS\npE4GRkmSJHUyMEqSJKmTgVGSJEmdDIySJEnqZGCUJElSJwOjJEmSOhkYJUmS1GnxoAsYJkkGXcK8\nMja2hImJlYMuQ5IkzdJG72FMMpbki0mWJ7koyb4d+348yROmrBtP8t62fOwc1PO0VsvFSW5qyx9f\nx2Nfm2Tzmfcofyb93HLLz9alWSVJ0jy3KXoYXwOcUVXHACTZumPf6lpXVYfMtpiqugTYM8kOwD9V\n1UvX4/CDgM8Cq2ZbhyRJ0kKxKZ5hvBV4WpJtAarqZoAkK9bsMHkZeHOSs5N8KslmQCbtd2n7/ddJ\njk/ypSRfSHJw6yn8VNu+RZITkpyT5NQkY9PUNfm8+yY5L8mFSV6WvjOTPDbJ49t1ngY8GTgjyZvn\nrnkkSZLmt00RGI8Hvgmc2YakH3Mv+19SVXsD3wVeyNq9jjXp9zeq6vnAL4EtqmpP4D5JHgUcDJxT\nVc8BTgL+6F6u+Q7g2cAewJ+0dYcAHwL+GTik9UxeAexbVe+/ty8tSZI0LDb6kHRV3QG8G3h3kr2A\nZcDLp+w2ebbIZe33CuDRwFdnOPWV7fd1wFVt+UfAEuC3gd2TvAbYHDhvpvqSbAM8Bji7rdoa2Kaq\nvpvkJuCWqvp+55eUJEkaYhs9MCZ5JHBDVf0a+PGkTVu0Ieft6Ic86AfHpwCXA7sDX9uQSwJXAxdX\n1Qmthq7v+ZO2/3OralWSxVV1R5I96D+r+KAkT6yqK9vnjnM5S3qysbEl976TJEna6Hq9Hr1eb4OP\n3xSTXnYGPp3kdvqJ6o/b+hOBi4ELgDXTaQvYNcnL6Qe5dwDPZO2haNZh+cPAh5O8rq07CvjSlLoK\nqKqqJO8Czk6yGrgpyR8A7wJ+F9gSOCnJ3sBpwGeSfLaqPjL1i1ZNN2dHkiRpsMbHxxkfH7/r87Jl\ny9br+Bhy5kaSsi0lSdJCkISqWuehUf/SiyRJkjoZGCVJktTJwChJkqROBkZJkiR1MjBKkiSpk4FR\nkiRJnQyMkiRJ6mRglCRJUicDoyRJkjoZGCVJktTJwChJkqROBkZJkiR1MjBKkiSpk4FRkiRJnQyM\nkiRJ6rR40AUMkySDLmFeGRtbwsTEykGXIUmSZilVNegaNpkk48B+VXXYeh53ELBlVR3dsU/B6LTl\nugmjdH9JkrRQJKGq1rmna9SGpDc0vZh6JEnSyBq1wAjwxCSnJflakv+V5KgkvSRfTfIkgCTHJTkv\nyblJdmjH7TnpuIcOsH5JkqRNatSeYQxwv6raJ8njgH8EDqyq25PsAhzWhp8fU1XPAMjdDyb+vKoO\nTnII8FLggwOoX5IkaZMbtcBYwOUAVXV1kocBb02yV9u+qqruSHJ0kuOBnwJ/2bZd0X7/ANh1+tM7\n6WWysbElgy5BkiQBvV6PXq+3wceP4qSXv6mqPZI8FngvsKSqnpVkV+CfgOcAm7Xg+Hbgh/SH7req\nqqOTvADYtaqWTTl3jVJbSpKkhWt9J72MYg/jzUm+CGwLHAy8K8ly4JK2fQw4tT/rmdXAK4F9uHvi\nS+EkGEmSNEJGqodxY7KHUZIkLRS+VkeSJElzysAoSZKkTgZGSZIkdTIwSpIkqZOBUZIkSZ0MjJIk\nSepkYJQkSVInA6MkSZI6GRglSZLUycAoSZKkTgZGSZIkdTIwSpIkqZOBUZIkSZ0MjJIkSeq0eNAF\nDJMkgy5hXhkbW8LExMpBlyFJkmYpVTXoGoZCkgLbcm3B+0uSpPknCVW1zj1dczokneTpSZYn6SU5\nJ8muszjXC5Ns05b3SfJ7G3iexUmOT/KVJBcm+YOOfV+b5GlJtk7y0g2tXZIkaZjM2ZB0kgcCxwD7\nVNWNSe4P7DRln9S6dzkdAFwD/LiqzpxFafsA11fVq1sND5hpx6r6t7bPjsDvAyfP4rqSJElDYS57\nGPcDPl9VNwJU1URVXZ7koCSfSnIasG/7fF7r7dsTIMlftJ7Jy5Ls1QLbPsBxSf6x9fy9McmLk7y1\nHbNVknPa8j3OOcmtwJOTPLLV9fN2zIo1O6xZTvLXSfYDDgGWJjk3yW8n2XfS+V82h20mSZI0781l\nYHwYcP006wv4VVXtD3wNOLCq9gCeC7yz7XN0Ve0JPA94R1VdC3wZOKiqDp90rtOB57fl/YFTW8/m\ndOfsX7xqOXAq8OkkVyZ5Wsd3WNP7+SHgK1X1bOBq4B3As4E9gD9J4uxySZI0MuZylvR1wKNn2HZp\n+7hsHw0AABXUSURBVL0T8IQky9vnB7ffr0nyCmA18NCZLlBVtyf5fpJHAy8G3gj81gznnHzc0cDR\nSR4LfAR41pRduh763AZ4DHB2+7x1u8ZN99zVWdKTjY0tGXQJkiQJ6PV69Hq9DT5+LgPj6cDyJB+q\nqhumPMO4uv3+NnBlVb0A+hNS2vo/AZ4IbAuc39atmqG+TwOvB+7brnPHDOekfX4ocEtV/RL4KXf3\nIt6ZZCv6Ke83p1xjFbCoLf+Efi/jc6tqVZLFVXXHdA3gjGBJkjQfjY+PMz4+ftfnZcuWrdfxcxYY\nq+pnSd4AfDL9FxLeCRy2ZnPb56ftecavtO1XAYcCFwAXApcAt7RjzgA+kOQ/gB9NutRZwMeAv2rn\n/MkM51xje+D9LVguBo5o64+mH04vm3L+oj+0ft8kJwNvB94FnJ1kNfBj4MANayVJkqSFx/cwzpH1\nmwAuSZI0OAN9D6MkSZKGj4FRkiRJnQyMkiRJ6mRglCRJUicDoyRJkjoZGCVJktTJwChJkqROBkZJ\nkiR1MjBKkiSpk4FRkiRJnQyMkiRJ6mRglCRJUicDoyRJkjoZGCVJktRp8aALGCZJBl3CvDI2toSJ\niZWDLkOSJM1SqmrQNQyFJAW25dqC95ckSfNPEqpqnXu6hnZIOslYki8mWZ7koiT7zrDf65JckuSV\n63DOJyU5ZO6rlSRJmr+GtocxyRuBqqpj2uetq+rmafb7MnDgdNum7LdZVa3u2G4P4z3YwyhJ0nxk\nD+PdbgWelmRbgKq6OcmJSXpJzk+yfZJXAL8DnJZk9yRHte1fTfIkgPb5H4EvJ1ma5L2D+0qSJEmb\n3jBPejkeeDhwZpLbgIOAg6vqtiS/B7y+qt6R5H8D+1XVrUn+s23fBTgMeBX9bsMvV9XhSZYO6LtI\nkiQNzNAGxqq6A3g38O4ke7XlG5I8EbgvcNU0h701yXPa8qpJ61es21WdJT3Z2NiSQZcgSZKAXq9H\nr9fb4OOHNjAmeSRwQ1X9GvgxsDVwe1UtTfJi4AVT9n8QsFdVPSvJrsA/Tdo847OLk/m8niRJmo/G\nx8cZHx+/6/OyZcvW6/ihDYzAzsCnk9zePh8K/EuSs4CruecMlZXAyiTLgUum2b6GqVCSJI2UoZ0l\nvaklKdtSkiQtBM6SliRJ0pwyMEqSJKmTgVGSJEmdDIySJEnqZGCUJElSJwOjJEmSOhkYJUmS1MnA\nKEmSpE4GRkmSJHUyMEqSJKmTgVGSJEmdDIySJEnqZGCUJElSJwOjJEmSOi0edAHDJMmgS5hXxsaW\nMDGxctBlSJKkWUpVDbqGoZCkwLZcW/D+kiRp/klCVa1zT9fIDkkn2THJ6iTj7fN9kvwsyRtn2P/Y\n9vuvk+y3CUuVJEkaqJENjM2lwIva8l7At5ihm7CqDlmzuAnqkiRJmjdGOTAW8D1g+/b5AOAUIElO\nTNJLcn6S7emvXDGgOiVJkgZqlAPjGhcnWQo8GLihrTu4qsaBo4DXD6owSZKk+WCUZ0mvedDzFOAz\nwMfb50XAe5PsDNwXuGr9Tynoz5KWJEmD1+v16PV6G3z8KAdGAKrqmiTnA5+j/xzjA4Ctq2ppkhcD\nL1iPc22kKiVJkjbc+Pg44+Pjd31etmzZeh0/yoGx2g9VdSjc9R7FnwM7JDkLuJq7J7nUlGMlSZJG\ngu9hnCNJyraUJEkLge9hlCRJ0pwyMEqSJKmTgVGSJEmdDIySJEnqZGCUJElSJwOjJEmSOhkYJUmS\n1MnAKEmSpE4GRkmSJHUyMEqSJKmTgVGSJEmdDIySJEnqZGCUJElSJwOjJEmSOi0edAHDJMmgS5hX\nxsaWMDGxctBlSJKkWUpVDbqGoZCkwLZcW/D+kiRp/klCVa1zT9esh6STPCPJuUmWJ+kledEcnHPH\nJCev4769JOcluTDJsbO87orZHC9JkjSMZjUkneRBwNHAPlV1Y5JFwO5zUtm6K2Dfqro1ydlJdq6q\nqzbmBZOk7DqTJEkjYrY9jM8HTqmqGwGq6s6qugQgyZ5JLm4/r27rdk5yfpILkrytrXtk6x08Pckn\nk7yWSWO7SXZrPZjnJXnLDHUkyWJgS+CXSbZIckKSc5KcmmQsyWYtUPaSnJVkrB34tiQXJfm/a9oj\nyW8m+XLrNX1fW3dQkk8lOQ3Yd5btJkmStGDMNjA+DLgBIMmzW8A6tW37O2A/4FnAm5Js0dYdXFXP\nBPZMsgPwVuDIqtoPWM09HwT8B+CAqtoDWJpk22nqOAP4LvDVqvoOcDBwTlU9BzgJ+KOqWg3sX1Xj\nwJeAA5M8hH7v5NOB9wNLJl3zDVW1J7BFkl1bXb+uqv2r6owNbzJJkqSFZbazpK8DHg1QVecC5056\nDnBRVa0ESHIN8HDgIVX1zbb968BO7eeytu4yYOo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tmjY5kv6f4Hwy/SGR7wKvn/RszUhI\n8kzgPOBK7h4aejvwNUb7fpmuXY6g/0cURvKeSbIz/UkKm7Wf46vqvUkeyGjfKzO1yycY0XtlqiRL\ngbe0WdLrdb8YGCVJktTJIWlJkiR1MjBKkiSpk4FRkiRJnQyMkiRJ6mRglCRJUicDoyRJkjoZGCVJ\nktTJwChJkqRO/x+NoqJoQ7kAjAAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x4abf830>"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}