Skip to content

Instantly share code, notes, and snippets.

@ryanwitt
Created December 16, 2012 22:59
Show Gist options
  • Save ryanwitt/4313915 to your computer and use it in GitHub Desktop.
Save ryanwitt/4313915 to your computer and use it in GitHub Desktop.
Display the source blob
Display the rendered blob
Raw
{
"metadata": {
"name": "Practicum 4"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"import urllib2\n",
"from BeautifulSoup import BeautifulSoup\n",
"soup = BeautifulSoup(urllib2.urlopen('http://bechdeltest.com/?list=all'))"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import pandas as pd\n",
"pd.set_printoptions(max_columns=200, max_rows=20)\n",
"movies = pd.DataFrame([{\n",
" 'imdbID' : (m.find('a').get('href') if m.find('a') else '////').split('/')[4],\n",
" 'api_link' : 'http://www.omdbapi.com/?i=' + (m.find('a').get('href') if m.find('a') else '////').split('/')[4],\n",
" 'label' : m.find('img').get('title'),\n",
" 'imdb_link' : m.find('a').get('href') if m.find('a') else None,\n",
" 'Title' : m.findAll('a')[1].string if len(m.findAll('a')) > 1 else None,\n",
"} for m in soup.findAll('div', 'movie')])\n",
"movies.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Title</th>\n",
" <th>api_link</th>\n",
" <th>imdbID</th>\n",
" <th>imdb_link</th>\n",
" <th>label</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td><strong>0</strong></td>\n",
" <td> 21 Jump Street</td>\n",
" <td> http://www.omdbapi.com/?i=tt1232829</td>\n",
" <td> tt1232829</td>\n",
" <td> http://us.imdb.com/title/tt1232829/</td>\n",
" <td> [There are two or more women in this movie and...</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>1</strong></td>\n",
" <td> Abraham Lincoln: Vampire Hunter</td>\n",
" <td> http://www.omdbapi.com/?i=tt1611224</td>\n",
" <td> tt1611224</td>\n",
" <td> http://us.imdb.com/title/tt1611224/</td>\n",
" <td> [There are two or more women in this movie and...</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2</strong></td>\n",
" <td> All I Want Is Everything</td>\n",
" <td> http://www.omdbapi.com/?i=tt2387222</td>\n",
" <td> tt2387222</td>\n",
" <td> http://us.imdb.com/title/tt2387222/</td>\n",
" <td> [There are two or more women in this movie and...</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>3</strong></td>\n",
" <td> The Amazing Spider-Man</td>\n",
" <td> http://www.omdbapi.com/?i=tt0948470</td>\n",
" <td> tt0948470</td>\n",
" <td> http://us.imdb.com/title/tt0948470/</td>\n",
" <td> [There are two or more women in this movie, bu...</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>4</strong></td>\n",
" <td> Arachnoquake</td>\n",
" <td> http://www.omdbapi.com/?i=tt2151543</td>\n",
" <td> tt2151543</td>\n",
" <td> http://us.imdb.com/title/tt2151543/</td>\n",
" <td> [There are two or more women in this movie and...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"output_type": "pyout",
"prompt_number": 2,
"text": [
" Title api_link imdbID imdb_link label\n",
"0 21 Jump Street http://www.omdbapi.com/?i=tt1232829 tt1232829 http://us.imdb.com/title/tt1232829/ [There are two or more women in this movie and...\n",
"1 Abraham Lincoln: Vampire Hunter http://www.omdbapi.com/?i=tt1611224 tt1611224 http://us.imdb.com/title/tt1611224/ [There are two or more women in this movie and...\n",
"2 All I Want Is Everything http://www.omdbapi.com/?i=tt2387222 tt2387222 http://us.imdb.com/title/tt2387222/ [There are two or more women in this movie and...\n",
"3 The Amazing Spider-Man http://www.omdbapi.com/?i=tt0948470 tt0948470 http://us.imdb.com/title/tt0948470/ [There are two or more women in this movie, bu...\n",
"4 Arachnoquake http://www.omdbapi.com/?i=tt2151543 tt2151543 http://us.imdb.com/title/tt2151543/ [There are two or more women in this movie and..."
]
}
],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"movies.describe()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Title</th>\n",
" <th>api_link</th>\n",
" <th>imdbID</th>\n",
" <th>imdb_link</th>\n",
" <th>label</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td><strong>count</strong></td>\n",
" <td> 3491</td>\n",
" <td> 3497</td>\n",
" <td> 3497</td>\n",
" <td> 3491</td>\n",
" <td> 3491</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>unique</strong></td>\n",
" <td> 3428</td>\n",
" <td> 3470</td>\n",
" <td> 3470</td>\n",
" <td> 3469</td>\n",
" <td> 5</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>top</strong></td>\n",
" <td> Alice in Wonderland</td>\n",
" <td> http://www.omdbapi.com/?i=tt</td>\n",
" <td> tt</td>\n",
" <td> http://us.imdb.com/title/tt/</td>\n",
" <td> [There are two or more women in this movie and...</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>freq</strong></td>\n",
" <td> 3</td>\n",
" <td> 9</td>\n",
" <td> 9</td>\n",
" <td> 9</td>\n",
" <td> 1691</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"output_type": "pyout",
"prompt_number": 4,
"text": [
" Title api_link imdbID imdb_link label\n",
"count 3491 3497 3497 3491 3491\n",
"unique 3428 3470 3470 3469 5\n",
"top Alice in Wonderland http://www.omdbapi.com/?i=tt tt http://us.imdb.com/title/tt/ [There are two or more women in this movie and...\n",
"freq 3 9 9 9 1691"
]
}
],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import json, time\n",
"links = movies['api_link']#[:100]\n",
"jsons = []\n",
"for i, link in enumerate(links):\n",
" for timeout in [1,2,4,8,16,32,64,128,256,512,1024,2048]:\n",
" try:\n",
" jsons.append(json.loads(urllib2.urlopen(link).read()))\n",
" print '%2.0f' % (100*float(i+1)/len(links)),\n",
" break\n",
" except Exception, e:\n",
" import traceback; traceback.print_exc()\n",
" time.sleep(timeout)\n",
"jsons = pd.DataFrame(jsons)\n",
"jsons.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 0 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 0 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 0 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 0 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 0 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 0 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 0 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 0 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 0 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 0 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 0 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 0 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 0 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 0 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 0 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 0 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 0 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 1 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 2 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 3 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 4 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 5 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 6 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 7 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 8 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
" 9 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"10 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"11 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"12 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"13 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"14 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"15 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"16 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"17 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"18 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"19 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"20 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"21 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"22 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"23 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"24 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"25 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"26 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"27 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"28 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"29 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"30 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"31 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"32 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"33 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"34 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"35 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"36 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"37 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"38 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"39 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"40 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"41 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"42 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"43 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"44 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"45 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"46 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"47 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"48 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"49 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"50 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"51 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"52 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"53 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"54 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"55 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"56 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"57 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"58 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"59 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"60 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"61 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"62 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"63 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"64 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"65 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"66 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"67 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"68 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"70 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"71 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"72 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"73 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"74 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"75 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"76 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"77 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"78 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"79 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"80 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"81 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"82 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"83 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stderr",
"text": [
"Traceback (most recent call last):\n",
" File \"<ipython-input-67-8bb419039daf>\", line 7, in <module>\n",
" jsons.append(json.loads(urllib2.urlopen(link).read()))\n",
" File \"/usr/local/Cellar/python/2.7.3/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py\", line 126, in urlopen\n",
" return _opener.open(url, data, timeout)\n",
" File \"/usr/local/Cellar/python/2.7.3/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py\", line 400, in open\n",
" response = self._open(req, data)\n",
" File \"/usr/local/Cellar/python/2.7.3/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py\", line 418, in _open\n",
" '_open', req)\n",
" File \"/usr/local/Cellar/python/2.7.3/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py\", line 378, in _call_chain\n",
" result = func(*args)\n",
" File \"/usr/local/Cellar/python/2.7.3/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py\", line 1207, in http_open\n",
" return self.do_open(httplib.HTTPConnection, req)\n",
" File \"/usr/local/Cellar/python/2.7.3/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py\", line 1177, in do_open\n",
" raise URLError(err)\n",
"URLError: <urlopen error [Errno 60] Operation timed out>\n",
"Traceback (most recent call last):\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"84 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"85 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"86 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"87 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"88 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"89 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"90 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"91 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"92 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"93 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"94 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"95 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"96 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"97 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"98 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"99 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"100 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"100 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"100 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"100 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"100 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"100 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"100 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"100 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"100 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"100 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"100 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"100 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"100 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"100 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"100 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"100 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"100 "
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"100"
]
},
{
"output_type": "stream",
"stream": "stderr",
"text": [
" File \"<ipython-input-67-8bb419039daf>\", line 7, in <module>\n",
" jsons.append(json.loads(urllib2.urlopen(link).read()))\n",
" File \"/usr/local/Cellar/python/2.7.3/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py\", line 126, in urlopen\n",
" return _opener.open(url, data, timeout)\n",
" File \"/usr/local/Cellar/python/2.7.3/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py\", line 400, in open\n",
" response = self._open(req, data)\n",
" File \"/usr/local/Cellar/python/2.7.3/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py\", line 418, in _open\n",
" '_open', req)\n",
" File \"/usr/local/Cellar/python/2.7.3/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py\", line 378, in _call_chain\n",
" result = func(*args)\n",
" File \"/usr/local/Cellar/python/2.7.3/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py\", line 1207, in http_open\n",
" return self.do_open(httplib.HTTPConnection, req)\n",
" File \"/usr/local/Cellar/python/2.7.3/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py\", line 1180, in do_open\n",
" r = h.getresponse(buffering=True)\n",
" File \"/usr/local/Cellar/python/2.7.3/Frameworks/Python.framework/Versions/2.7/lib/python2.7/httplib.py\", line 1030, in getresponse\n",
" response.begin()\n",
" File \"/usr/local/Cellar/python/2.7.3/Frameworks/Python.framework/Versions/2.7/lib/python2.7/httplib.py\", line 407, in begin\n",
" version, status, reason = self._read_status()\n",
" File \"/usr/local/Cellar/python/2.7.3/Frameworks/Python.framework/Versions/2.7/lib/python2.7/httplib.py\", line 365, in _read_status\n",
" line = self.fp.readline()\n",
" File \"/usr/local/Cellar/python/2.7.3/Frameworks/Python.framework/Versions/2.7/lib/python2.7/socket.py\", line 447, in readline\n",
" data = self._sock.recv(self._rbufsize)\n",
"error: [Errno 60] Operation timed out\n"
]
},
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Actors</th>\n",
" <th>Director</th>\n",
" <th>Error</th>\n",
" <th>Genre</th>\n",
" <th>Plot</th>\n",
" <th>Poster</th>\n",
" <th>Rated</th>\n",
" <th>Released</th>\n",
" <th>Response</th>\n",
" <th>Runtime</th>\n",
" <th>Title</th>\n",
" <th>Writer</th>\n",
" <th>Year</th>\n",
" <th>imdbID</th>\n",
" <th>imdbRating</th>\n",
" <th>imdbVotes</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td><strong>0</strong></td>\n",
" <td> Jonah Hill, Channing Tatum, Ice Cube, Brie Larson</td>\n",
" <td> Phil Lord, Chris Miller</td>\n",
" <td> NaN</td>\n",
" <td> Action, Comedy, Crime</td>\n",
" <td> A pair of underachieving cops are sent back to...</td>\n",
" <td> http://ia.media-imdb.com/images/M/MV5BMTc3NzQ3...</td>\n",
" <td> R</td>\n",
" <td> 16 Mar 2012</td>\n",
" <td> True</td>\n",
" <td> 1 h 49 min</td>\n",
" <td> 21 Jump Street</td>\n",
" <td> Michael Bacall, Michael Bacall</td>\n",
" <td> 2012</td>\n",
" <td> tt1232829</td>\n",
" <td> 7.2</td>\n",
" <td> 127,059</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>1</strong></td>\n",
" <td> Benjamin Walker, Rufus Sewell, Dominic Cooper,...</td>\n",
" <td> Timur Bekmambetov</td>\n",
" <td> NaN</td>\n",
" <td> Action, Fantasy, Horror, Thriller</td>\n",
" <td> Abraham Lincoln, the 16th President of the Uni...</td>\n",
" <td> http://ia.media-imdb.com/images/M/MV5BNjY2Mzc0...</td>\n",
" <td> R</td>\n",
" <td> 22 Jun 2012</td>\n",
" <td> True</td>\n",
" <td> 1 h 45 min</td>\n",
" <td> Abraham Lincoln: Vampire Hunter</td>\n",
" <td> Seth Grahame-Smith, Seth Grahame-Smith</td>\n",
" <td> 2012</td>\n",
" <td> tt1611224</td>\n",
" <td> 6.1</td>\n",
" <td> 39,241</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2</strong></td>\n",
" <td> N/A</td>\n",
" <td> Shital Morjaria</td>\n",
" <td> NaN</td>\n",
" <td> Drama</td>\n",
" <td> What are the women friendship songs one can re...</td>\n",
" <td> N/A</td>\n",
" <td> N/A</td>\n",
" <td> N/A</td>\n",
" <td> True</td>\n",
" <td> 1 h 2 min</td>\n",
" <td> All I Want Is Everything</td>\n",
" <td> Shital Morjaria, Shital Morjaria</td>\n",
" <td> 2012</td>\n",
" <td> tt2387222</td>\n",
" <td> N/A</td>\n",
" <td> N/A</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>3</strong></td>\n",
" <td> Andrew Garfield, Emma Stone, Rhys Ifans, Irrfa...</td>\n",
" <td> Marc Webb</td>\n",
" <td> NaN</td>\n",
" <td> Action, Adventure, Fantasy</td>\n",
" <td> Peter Parker finds a clue that might help him ...</td>\n",
" <td> http://ia.media-imdb.com/images/M/MV5BMjMyOTM4...</td>\n",
" <td> PG-13</td>\n",
" <td> 03 Jul 2012</td>\n",
" <td> True</td>\n",
" <td> 2 h 16 min</td>\n",
" <td> The Amazing Spider-Man</td>\n",
" <td> James Vanderbilt, Alvin Sargent</td>\n",
" <td> 2012</td>\n",
" <td> tt0948470</td>\n",
" <td> 7.4</td>\n",
" <td> 145,154</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>4</strong></td>\n",
" <td> Tracey Gold, Edward Furlong, Bug Hall, Ethan P...</td>\n",
" <td> Griff Furst</td>\n",
" <td> NaN</td>\n",
" <td> Sci-Fi</td>\n",
" <td> An earthquake triggers a giant spider attack o...</td>\n",
" <td> http://ia.media-imdb.com/images/M/MV5BODYyNjQ3...</td>\n",
" <td> 15</td>\n",
" <td> 23 Jun 2012</td>\n",
" <td> True</td>\n",
" <td> 1 h 26 min</td>\n",
" <td> Arachnoquake</td>\n",
" <td> Paul A. Birkett, Eric Forsberg</td>\n",
" <td> 2012</td>\n",
" <td> tt2151543</td>\n",
" <td> 3.2</td>\n",
" <td> 436</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"output_type": "pyout",
"prompt_number": 67,
"text": [
" Actors Director Error Genre Plot Poster Rated Released Response Runtime Title Writer Year imdbID imdbRating imdbVotes\n",
"0 Jonah Hill, Channing Tatum, Ice Cube, Brie Larson Phil Lord, Chris Miller NaN Action, Comedy, Crime A pair of underachieving cops are sent back to... http://ia.media-imdb.com/images/M/MV5BMTc3NzQ3... R 16 Mar 2012 True 1 h 49 min 21 Jump Street Michael Bacall, Michael Bacall 2012 tt1232829 7.2 127,059\n",
"1 Benjamin Walker, Rufus Sewell, Dominic Cooper,... Timur Bekmambetov NaN Action, Fantasy, Horror, Thriller Abraham Lincoln, the 16th President of the Uni... http://ia.media-imdb.com/images/M/MV5BNjY2Mzc0... R 22 Jun 2012 True 1 h 45 min Abraham Lincoln: Vampire Hunter Seth Grahame-Smith, Seth Grahame-Smith 2012 tt1611224 6.1 39,241\n",
"2 N/A Shital Morjaria NaN Drama What are the women friendship songs one can re... N/A N/A N/A True 1 h 2 min All I Want Is Everything Shital Morjaria, Shital Morjaria 2012 tt2387222 N/A N/A\n",
"3 Andrew Garfield, Emma Stone, Rhys Ifans, Irrfa... Marc Webb NaN Action, Adventure, Fantasy Peter Parker finds a clue that might help him ... http://ia.media-imdb.com/images/M/MV5BMjMyOTM4... PG-13 03 Jul 2012 True 2 h 16 min The Amazing Spider-Man James Vanderbilt, Alvin Sargent 2012 tt0948470 7.4 145,154\n",
"4 Tracey Gold, Edward Furlong, Bug Hall, Ethan P... Griff Furst NaN Sci-Fi An earthquake triggers a giant spider attack o... http://ia.media-imdb.com/images/M/MV5BODYyNjQ3... 15 23 Jun 2012 True 1 h 26 min Arachnoquake Paul A. Birkett, Eric Forsberg 2012 tt2151543 3.2 436"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n"
]
}
],
"prompt_number": 67
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data = movies.merge(jsons)\n",
"data.to_csv('data.csv', encoding='utf-8')\n",
"data.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Title</th>\n",
" <th>api_link</th>\n",
" <th>imdbID</th>\n",
" <th>imdb_link</th>\n",
" <th>label</th>\n",
" <th>Actors</th>\n",
" <th>Director</th>\n",
" <th>Error</th>\n",
" <th>Genre</th>\n",
" <th>Plot</th>\n",
" <th>Poster</th>\n",
" <th>Rated</th>\n",
" <th>Released</th>\n",
" <th>Response</th>\n",
" <th>Runtime</th>\n",
" <th>Writer</th>\n",
" <th>Year</th>\n",
" <th>imdbRating</th>\n",
" <th>imdbVotes</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td><strong>0</strong></td>\n",
" <td> (500) Days of Summer</td>\n",
" <td> http://www.omdbapi.com/?i=tt1022603</td>\n",
" <td> tt1022603</td>\n",
" <td> http://us.imdb.com/title/tt1022603/</td>\n",
" <td> [There are two or more women in this movie, bu...</td>\n",
" <td> Zooey Deschanel, Joseph Gordon-Levitt, Geoffre...</td>\n",
" <td> Marc Webb</td>\n",
" <td> NaN</td>\n",
" <td> Comedy, Drama, Romance</td>\n",
" <td> An offbeat romantic comedy about a woman who d...</td>\n",
" <td> http://ia.media-imdb.com/images/M/MV5BMTk5MjM4...</td>\n",
" <td> PG-13</td>\n",
" <td> 07 Aug 2009</td>\n",
" <td> True</td>\n",
" <td> 1 h 35 min</td>\n",
" <td> Scott Neustadter, Michael H. Weber</td>\n",
" <td> 2009</td>\n",
" <td> 7.9</td>\n",
" <td> 190,547</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>1</strong></td>\n",
" <td> ...And God Created Woman</td>\n",
" <td> http://www.omdbapi.com/?i=tt0049189</td>\n",
" <td> tt0049189</td>\n",
" <td> http://us.imdb.com/title/tt0049189/</td>\n",
" <td> [There are two or more women in this movie and...</td>\n",
" <td> Brigitte Bardot, Curd J\u00fcrgens, Jean-Louis Trin...</td>\n",
" <td> Roger Vadim</td>\n",
" <td> NaN</td>\n",
" <td> Drama, Romance</td>\n",
" <td> In sunny St. Tropez, a young sexpot loves one ...</td>\n",
" <td> http://ia.media-imdb.com/images/M/MV5BMTk0MDU4...</td>\n",
" <td> PG</td>\n",
" <td> 21 Oct 1957</td>\n",
" <td> True</td>\n",
" <td> 1 h 30 min</td>\n",
" <td> Roger Vadim, Raoul L\u00e9vy</td>\n",
" <td> 1956</td>\n",
" <td> 6.2</td>\n",
" <td> 3,234</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2</strong></td>\n",
" <td> 10 Things I Hate About You</td>\n",
" <td> http://www.omdbapi.com/?i=tt0147800</td>\n",
" <td> tt0147800</td>\n",
" <td> http://us.imdb.com/title/tt0147800/</td>\n",
" <td> [There are two or more women in this movie and...</td>\n",
" <td> Heath Ledger, Julia Stiles, Joseph Gordon-Levi...</td>\n",
" <td> Gil Junger</td>\n",
" <td> NaN</td>\n",
" <td> Comedy, Romance</td>\n",
" <td> A film inspired by the classic Shakespeare pla...</td>\n",
" <td> http://ia.media-imdb.com/images/M/MV5BMTI4MzU5...</td>\n",
" <td> PG-13</td>\n",
" <td> 31 Mar 1999</td>\n",
" <td> True</td>\n",
" <td> 1 h 37 min</td>\n",
" <td> Karen McCullah Lutz, Kirsten Smith</td>\n",
" <td> 1999</td>\n",
" <td> 7.0</td>\n",
" <td> 116,479</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>3</strong></td>\n",
" <td> 101 Dalmatians</td>\n",
" <td> http://www.omdbapi.com/?i=tt0115433</td>\n",
" <td> tt0115433</td>\n",
" <td> http://us.imdb.com/title/tt0115433/</td>\n",
" <td> [There are two or more women in this movie and...</td>\n",
" <td> Glenn Close, Jeff Daniels, Joely Richardson, J...</td>\n",
" <td> Stephen Herek</td>\n",
" <td> NaN</td>\n",
" <td> Family, Comedy, Adventure</td>\n",
" <td> A woman kidnaps puppies to kill them for their...</td>\n",
" <td> http://ia.media-imdb.com/images/M/MV5BMTkxNjQw...</td>\n",
" <td> G</td>\n",
" <td> 27 Nov 1996</td>\n",
" <td> True</td>\n",
" <td> 1 h 43 min</td>\n",
" <td> Dodie Smith, John Hughes</td>\n",
" <td> 1996</td>\n",
" <td> 5.5</td>\n",
" <td> 40,246</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>4</strong></td>\n",
" <td> 11 Flowers</td>\n",
" <td> http://www.omdbapi.com/?i=tt2042432</td>\n",
" <td> tt2042432</td>\n",
" <td> http://us.imdb.com/title/tt2042432/</td>\n",
" <td> [There are two or more women in this movie and...</td>\n",
" <td> Wang Jinchun, Wenqing Liu, Jinchun Wang, Liu W...</td>\n",
" <td> Xiaoshuai Wang</td>\n",
" <td> NaN</td>\n",
" <td> Drama</td>\n",
" <td> N/A</td>\n",
" <td> N/A</td>\n",
" <td> 6</td>\n",
" <td> 09 May 2012</td>\n",
" <td> True</td>\n",
" <td> 1 h 50 min</td>\n",
" <td> Xiaoshuai Wang, Lao Ni</td>\n",
" <td> 2011</td>\n",
" <td> 6.9</td>\n",
" <td> 177</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"output_type": "pyout",
"prompt_number": 381,
"text": [
" Title api_link imdbID imdb_link label Actors Director Error Genre Plot Poster Rated Released Response Runtime Writer Year imdbRating imdbVotes\n",
"0 (500) Days of Summer http://www.omdbapi.com/?i=tt1022603 tt1022603 http://us.imdb.com/title/tt1022603/ [There are two or more women in this movie, bu... Zooey Deschanel, Joseph Gordon-Levitt, Geoffre... Marc Webb NaN Comedy, Drama, Romance An offbeat romantic comedy about a woman who d... http://ia.media-imdb.com/images/M/MV5BMTk5MjM4... PG-13 07 Aug 2009 True 1 h 35 min Scott Neustadter, Michael H. Weber 2009 7.9 190,547\n",
"1 ...And God Created Woman http://www.omdbapi.com/?i=tt0049189 tt0049189 http://us.imdb.com/title/tt0049189/ [There are two or more women in this movie and... Brigitte Bardot, Curd J\u00fcrgens, Jean-Louis Trin... Roger Vadim NaN Drama, Romance In sunny St. Tropez, a young sexpot loves one ... http://ia.media-imdb.com/images/M/MV5BMTk0MDU4... PG 21 Oct 1957 True 1 h 30 min Roger Vadim, Raoul L\u00e9vy 1956 6.2 3,234\n",
"2 10 Things I Hate About You http://www.omdbapi.com/?i=tt0147800 tt0147800 http://us.imdb.com/title/tt0147800/ [There are two or more women in this movie and... Heath Ledger, Julia Stiles, Joseph Gordon-Levi... Gil Junger NaN Comedy, Romance A film inspired by the classic Shakespeare pla... http://ia.media-imdb.com/images/M/MV5BMTI4MzU5... PG-13 31 Mar 1999 True 1 h 37 min Karen McCullah Lutz, Kirsten Smith 1999 7.0 116,479\n",
"3 101 Dalmatians http://www.omdbapi.com/?i=tt0115433 tt0115433 http://us.imdb.com/title/tt0115433/ [There are two or more women in this movie and... Glenn Close, Jeff Daniels, Joely Richardson, J... Stephen Herek NaN Family, Comedy, Adventure A woman kidnaps puppies to kill them for their... http://ia.media-imdb.com/images/M/MV5BMTkxNjQw... G 27 Nov 1996 True 1 h 43 min Dodie Smith, John Hughes 1996 5.5 40,246\n",
"4 11 Flowers http://www.omdbapi.com/?i=tt2042432 tt2042432 http://us.imdb.com/title/tt2042432/ [There are two or more women in this movie and... Wang Jinchun, Wenqing Liu, Jinchun Wang, Liu W... Xiaoshuai Wang NaN Drama N/A N/A 6 09 May 2012 True 1 h 50 min Xiaoshuai Wang, Lao Ni 2011 6.9 177"
]
}
],
"prompt_number": 381
},
{
"cell_type": "code",
"collapsed": false,
"input": [
".ix[rows, cols]"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"categories = set([y for sublist in [x.split(', ') for x in data['Genre'].unique()] for y in sublist])\n",
"for category in categories:\n",
" data[category] = [int(category in l) for l in data['Genre']]\n",
"data['pass'] = [int('There are two or more women in this movie and' in l) for l in data['label']]\n",
"features = data.ix[:,['pass', 'Year']+list(categories)]\n",
"#features['Constant'] = 1\n",
"features['imdbRating'] = [0 if 'N/A' in x else float(x) for x in data['imdbRating']]\n",
"features['Decade'] = (data['Year'].map(int) - data['Year'].map(int).min())/10\n",
"features['log(votes)'] = [max(0,np.log(int(''.join(x.split(',')) if x != 'N/A' else 0))) for x in data['imdbVotes']]\n",
"features.head(20)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>pass</th>\n",
" <th>Year</th>\n",
" <th>Sci-Fi</th>\n",
" <th>Crime</th>\n",
" <th>Romance</th>\n",
" <th>Animation</th>\n",
" <th>Music</th>\n",
" <th>Comedy</th>\n",
" <th>War</th>\n",
" <th>Horror</th>\n",
" <th>Film-Noir</th>\n",
" <th>Western</th>\n",
" <th>News</th>\n",
" <th>Thriller</th>\n",
" <th>Adventure</th>\n",
" <th>Mystery</th>\n",
" <th>Short</th>\n",
" <th>N/A</th>\n",
" <th>Drama</th>\n",
" <th>Action</th>\n",
" <th>Documentary</th>\n",
" <th>Musical</th>\n",
" <th>History</th>\n",
" <th>Family</th>\n",
" <th>Fantasy</th>\n",
" <th>Sport</th>\n",
" <th>Biography</th>\n",
" <th>imdbRating</th>\n",
" <th>Decade</th>\n",
" <th>log(votes)</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td><strong>0 </strong></td>\n",
" <td> 0</td>\n",
" <td> 2009</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 7.9</td>\n",
" <td> 10</td>\n",
" <td> 12.157654</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>1 </strong></td>\n",
" <td> 1</td>\n",
" <td> 1956</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 6.2</td>\n",
" <td> 5</td>\n",
" <td> 8.081475</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>2 </strong></td>\n",
" <td> 1</td>\n",
" <td> 1999</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 7.0</td>\n",
" <td> 9</td>\n",
" <td> 11.665466</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>3 </strong></td>\n",
" <td> 1</td>\n",
" <td> 1996</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 5.5</td>\n",
" <td> 9</td>\n",
" <td> 10.602766</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>4 </strong></td>\n",
" <td> 1</td>\n",
" <td> 2011</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 6.9</td>\n",
" <td> 11</td>\n",
" <td> 5.176150</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>5 </strong></td>\n",
" <td> 0</td>\n",
" <td> 1957</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 8.9</td>\n",
" <td> 5</td>\n",
" <td> 12.245764</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>6 </strong></td>\n",
" <td> 1</td>\n",
" <td> 2010</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 7.8</td>\n",
" <td> 11</td>\n",
" <td> 11.913686</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>7 </strong></td>\n",
" <td> 0</td>\n",
" <td> 2010</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 7.7</td>\n",
" <td> 11</td>\n",
" <td> 10.200142</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>8 </strong></td>\n",
" <td> 1</td>\n",
" <td> 2004</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 6.0</td>\n",
" <td> 10</td>\n",
" <td> 11.037129</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>9 </strong></td>\n",
" <td> 1</td>\n",
" <td> 2007</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 6.8</td>\n",
" <td> 10</td>\n",
" <td> 11.758253</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>10</strong></td>\n",
" <td> 1</td>\n",
" <td> 2009</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 6.3</td>\n",
" <td> 10</td>\n",
" <td> 11.169533</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>11</strong></td>\n",
" <td> 1</td>\n",
" <td> 2011</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 5.8</td>\n",
" <td> 11</td>\n",
" <td> 6.426488</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>12</strong></td>\n",
" <td> 0</td>\n",
" <td> 1972</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 7.2</td>\n",
" <td> 7</td>\n",
" <td> 8.463581</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>13</strong></td>\n",
" <td> 0</td>\n",
" <td> 2010</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 6.0</td>\n",
" <td> 11</td>\n",
" <td> 5.231109</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>14</strong></td>\n",
" <td> 0</td>\n",
" <td> 1954</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 7.2</td>\n",
" <td> 5</td>\n",
" <td> 9.520689</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>15</strong></td>\n",
" <td> 0</td>\n",
" <td> 1968</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 8.4</td>\n",
" <td> 6</td>\n",
" <td> 12.350550</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>16</strong></td>\n",
" <td> 0</td>\n",
" <td> 2009</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 5.8</td>\n",
" <td> 10</td>\n",
" <td> 11.956867</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>17</strong></td>\n",
" <td> 0</td>\n",
" <td> 2004</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 7.4</td>\n",
" <td> 10</td>\n",
" <td> 10.240317</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>18</strong></td>\n",
" <td> 0</td>\n",
" <td> 2004</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 7.4</td>\n",
" <td> 10</td>\n",
" <td> 10.240317</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>19</strong></td>\n",
" <td> 1</td>\n",
" <td> 2004</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 7.4</td>\n",
" <td> 10</td>\n",
" <td> 10.240317</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"output_type": "pyout",
"prompt_number": 388,
"text": [
" pass Year Sci-Fi Crime Romance Animation Music Comedy War Horror Film-Noir Western News Thriller Adventure Mystery Short N/A Drama Action Documentary Musical History Family Fantasy Sport Biography imdbRating Decade log(votes)\n",
"0 0 2009 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 7.9 10 12.157654\n",
"1 1 1956 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 6.2 5 8.081475\n",
"2 1 1999 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7.0 9 11.665466\n",
"3 1 1996 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 5.5 9 10.602766\n",
"4 1 2011 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 6.9 11 5.176150\n",
"5 0 1957 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 8.9 5 12.245764\n",
"6 1 2010 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 1 7.8 11 11.913686\n",
"7 0 2010 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 7.7 11 10.200142\n",
"8 1 2004 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 6.0 10 11.037129\n",
"9 1 2007 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 6.8 10 11.758253\n",
"10 1 2009 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 6.3 10 11.169533\n",
"11 1 2011 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 5.8 11 6.426488\n",
"12 0 1972 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 1 0 0 0 7.2 7 8.463581\n",
"13 0 2010 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 6.0 11 5.231109\n",
"14 0 1954 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 0 7.2 5 9.520689\n",
"15 0 1968 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 8.4 6 12.350550\n",
"16 0 2009 1 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 1 0 0 0 0 0 0 0 5.8 10 11.956867\n",
"17 0 2004 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 7.4 10 10.240317\n",
"18 0 2004 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 7.4 10 10.240317\n",
"19 1 2004 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 7.4 10 10.240317"
]
}
],
"prompt_number": 388
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"features.to_csv('features.csv')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 389
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"aggregated = features.ix[:, [c for c in features if c not in ['Decade', 'log(votes)', 'imdbRating']]].groupby('Year').agg(sum).plot(figsize=(24,9))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAABV4AAAIhCAYAAAC2bqERAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nEEOHGKgAAAAASUVORK5CYII=\n"
}
],
"prompt_number": 391
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"aggregated = features.ix[:, [c for c in features if c not in ['Decade', 'log(votes)', 'imdbRating']]].groupby('Year').agg(sum)\n",
"normalized = aggregated.ix[:]\n",
"totals = aggregated.sum(axis=1)\n",
"for col in normalized:\n",
" normalized[col] /= totals\n",
"colors = plt.get_cmap('gist_rainbow')([x*10 for x in range(len(normalized.columns))])\n",
"normalized.plot(figsize=(16,24), kind='barh', stacked=True, color=colors)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 392,
"text": [
"<matplotlib.axes.AxesSubplot at 0x11bd270d0>"
]
},
{
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAA7sAAAVVCAYAAADaBNw+AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngg==\n"
}
],
"prompt_number": 392
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"aggregated = features.ix[:, [c for c in features if c not in ['Decade', 'log(votes)', 'imdbRating']]].groupby('Year').agg(sum).plot(figsize=(16,9))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"ename": "KeyError",
"evalue": "'no item named Year'",
"output_type": "pyerr",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-380-81ca9bb6346e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0maggregated\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfeatures\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mix\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mc\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mc\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mfeatures\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mc\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;34m'Decade'\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mc\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;34m'log(votes)'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Year'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0magg\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msum\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m16\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m9\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m/usr/local/lib/python2.7/site-packages/pandas/core/generic.pyc\u001b[0m in \u001b[0;36mgroupby\u001b[0;34m(self, by, axis, level, as_index, sort, group_keys)\u001b[0m\n\u001b[1;32m 132\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mpandas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcore\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgroupby\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mgroupby\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 133\u001b[0m return groupby(self, by, axis=axis, level=level, as_index=as_index,\n\u001b[0;32m--> 134\u001b[0;31m sort=sort, group_keys=group_keys)\n\u001b[0m\u001b[1;32m 135\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 136\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0masfreq\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfreq\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhow\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/local/lib/python2.7/site-packages/pandas/core/groupby.pyc\u001b[0m in \u001b[0;36mgroupby\u001b[0;34m(obj, by, **kwds)\u001b[0m\n\u001b[1;32m 478\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mTypeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'invalid type: %s'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 479\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 480\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mklass\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mby\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 481\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 482\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_get_axes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgroup\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/local/lib/python2.7/site-packages/pandas/core/groupby.pyc\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, obj, keys, axis, level, grouper, exclusions, selection, as_index, sort, group_keys)\u001b[0m\n\u001b[1;32m 144\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mgrouper\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 145\u001b[0m grouper, exclusions = _get_grouper(obj, keys, axis=axis,\n\u001b[0;32m--> 146\u001b[0;31m level=level, sort=sort)\n\u001b[0m\u001b[1;32m 147\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 148\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgrouper\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgrouper\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/local/lib/python2.7/site-packages/pandas/core/groupby.pyc\u001b[0m in \u001b[0;36m_get_grouper\u001b[0;34m(obj, key, axis, level, sort)\u001b[0m\n\u001b[1;32m 1174\u001b[0m \u001b[0mexclusions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgpr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1175\u001b[0m \u001b[0mname\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgpr\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1176\u001b[0;31m \u001b[0mgpr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mobj\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mgpr\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1177\u001b[0m \u001b[0mping\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mGrouping\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgroup_axis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgpr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlevel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msort\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msort\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1178\u001b[0m \u001b[0mgroupings\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mping\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/local/lib/python2.7/site-packages/pandas/core/frame.pyc\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 1702\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Cannot index using non-boolean DataFrame'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1703\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1704\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_item_cache\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1705\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1706\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_getitem_array\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/local/lib/python2.7/site-packages/pandas/core/generic.pyc\u001b[0m in \u001b[0;36m_get_item_cache\u001b[0;34m(self, item)\u001b[0m\n\u001b[1;32m 472\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mcache\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 473\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 474\u001b[0;31m \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_data\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 475\u001b[0m \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_box_item_values\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 476\u001b[0m \u001b[0mcache\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mres\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/local/lib/python2.7/site-packages/pandas/core/internals.pyc\u001b[0m in \u001b[0;36mget\u001b[0;34m(self, item)\u001b[0m\n\u001b[1;32m 825\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 826\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 827\u001b[0;31m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mblock\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_find_block\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 828\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mblock\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 829\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/local/lib/python2.7/site-packages/pandas/core/internals.pyc\u001b[0m in \u001b[0;36m_find_block\u001b[0;34m(self, item)\u001b[0m\n\u001b[1;32m 939\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 940\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_find_block\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 941\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_check_have\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 942\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mblock\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mblocks\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 943\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mitem\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mblock\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/local/lib/python2.7/site-packages/pandas/core/internals.pyc\u001b[0m in \u001b[0;36m_check_have\u001b[0;34m(self, item)\u001b[0m\n\u001b[1;32m 946\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_check_have\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 947\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mitem\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 948\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'no item named %s'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\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 949\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 950\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mreindex_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnew_axis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mKeyError\u001b[0m: 'no item named Year'"
]
}
],
"prompt_number": 380
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import statsmodels.api as sm\n",
"del features['Year']\n",
"logit = sm.Logit(features['pass'], features.ix[:,2:])\n",
"fit = logit.fit()\n",
"print fit.summary()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Warning: Maximum number of iterations has been exceeded.\n",
" Current function value: 1870.603893\n",
" Iterations: 35\n",
" Logit Regression Results \n",
"==============================================================================\n",
"Dep. Variable: pass No. Observations: 3021\n",
"Model: Logit Df Residuals: 2994\n",
"Method: MLE Df Model: 26\n",
"Date: Sun, 18 Nov 2012 Pseudo R-squ.: 0.1039\n",
"Time: 15:04:39 Log-Likelihood: -1870.6\n",
"converged: False LL-Null: -2087.6\n",
" LLR p-value: 1.425e-75\n",
"===============================================================================\n",
" coef std err z P>|z| [95.0% Conf. Int.]\n",
"-------------------------------------------------------------------------------\n",
"Crime -0.5309 0.128 -4.160 0.000 -0.781 -0.281\n",
"Romance 0.3160 0.098 3.220 0.001 0.124 0.508\n",
"Animation -0.4953 0.197 -2.516 0.012 -0.881 -0.110\n",
"Music 0.5090 0.245 2.076 0.038 0.028 0.990\n",
"Comedy 0.0079 0.095 0.084 0.933 -0.178 0.194\n",
"War -1.0079 0.227 -4.440 0.000 -1.453 -0.563\n",
"Horror 0.7087 0.153 4.632 0.000 0.409 1.009\n",
"Film-Noir -0.7522 0.513 -1.467 0.142 -1.757 0.253\n",
"Western -0.8484 0.317 -2.674 0.007 -1.470 -0.227\n",
"News 35.1356 4.75e+07 7.4e-07 1.000 -9.3e+07 9.3e+07\n",
"Thriller -0.1861 0.118 -1.577 0.115 -0.417 0.045\n",
"Adventure -0.2630 0.130 -2.026 0.043 -0.517 -0.009\n",
"Mystery 0.2583 0.146 1.768 0.077 -0.028 0.545\n",
"Short -0.3565 0.833 -0.428 0.669 -1.990 1.277\n",
"N/A 0.0430 1.180 0.036 0.971 -2.270 2.356\n",
"Drama 0.2823 0.099 2.848 0.004 0.088 0.477\n",
"Action -0.5111 0.125 -4.075 0.000 -0.757 -0.265\n",
"Documentary -0.3826 0.360 -1.062 0.288 -1.089 0.324\n",
"Musical -0.0486 0.305 -0.160 0.873 -0.645 0.548\n",
"History -0.5799 0.222 -2.610 0.009 -1.015 -0.145\n",
"Family 0.0547 0.165 0.331 0.741 -0.269 0.379\n",
"Fantasy 0.1047 0.136 0.768 0.442 -0.162 0.372\n",
"Sport -1.0143 0.280 -3.621 0.000 -1.563 -0.465\n",
"Biography 0.2160 0.207 1.044 0.296 -0.189 0.621\n",
"imdbRating -0.0311 0.034 -0.917 0.359 -0.097 0.035\n",
"Decade 0.1974 0.018 11.195 0.000 0.163 0.232\n",
"log(votes) -0.1450 0.028 -5.245 0.000 -0.199 -0.091\n",
"==============================================================================="
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n"
]
}
],
"prompt_number": 393
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#results = pd.DataFrame({'Parameter': fit.params[:-1], 'Marginal Effect': fit.margeff()})\n",
"results = pd.DataFrame({'Parameter': fit.params, 'Marginal Effect': fit.margeff(), 'P-Value': fit.pvalues})\n",
"results.head()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Marginal Effect</th>\n",
" <th>P-Value</th>\n",
" <th>Parameter</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td><strong>Crime</strong></td>\n",
" <td>-0.114179</td>\n",
" <td> 0.000032</td>\n",
" <td>-0.530867</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>Romance</strong></td>\n",
" <td> 0.067969</td>\n",
" <td> 0.001282</td>\n",
" <td> 0.316015</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>Animation</strong></td>\n",
" <td>-0.106534</td>\n",
" <td> 0.011858</td>\n",
" <td>-0.495324</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>Music</strong></td>\n",
" <td> 0.109479</td>\n",
" <td> 0.037881</td>\n",
" <td> 0.509016</td>\n",
" </tr>\n",
" <tr>\n",
" <td><strong>Comedy</strong></td>\n",
" <td> 0.001706</td>\n",
" <td> 0.933438</td>\n",
" <td> 0.007930</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"output_type": "pyout",
"prompt_number": 396,
"text": [
" Marginal Effect P-Value Parameter\n",
"Crime -0.114179 0.000032 -0.530867\n",
"Romance 0.067969 0.001282 0.316015\n",
"Animation -0.106534 0.011858 -0.495324\n",
"Music 0.109479 0.037881 0.509016\n",
"Comedy 0.001706 0.933438 0.007930"
]
}
],
"prompt_number": 396
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"results.plot(kind='barh', figsize=(16,9))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 403,
"text": [
"<matplotlib.axes.AxesSubplot at 0x11dcf7a90>"
]
},
{
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAA9cAAAIQCAYAAACL7Z2RAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n9A0vWCa59y3aigAAAABJRU5ErkJggg==\n"
}
],
"prompt_number": 403
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"results.ix[[x for x in results.index if x != 'News'], ['Marginal Effect', 'P-Value']].sort(columns=['Marginal Effect']).plot(kind='barh', figsize=(16,9))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 398,
"text": [
"<matplotlib.axes.AxesSubplot at 0x11d450e90>"
]
},
{
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAA9gAAAIQCAYAAAB65sYcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nXHAu09WvXz8NHDhQL7/8siRp0qRJunTpkiIiIjRy5EgtWbJEwcHB+t
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment