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import random

answer = True
maxint = 1000
numrandom = 10000
books = list(set([random.randint(1, maxint) for _ in range(numrandom)]))

if answer:
     #a random set of integers will be a positive example with a very high probability. 
    selected_books = books

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# Sorts 0s and 1s in a sequence.
#to be used at turingmachine.io

input: '0010110100001'
blank: ' '
start state: valid0
table:
  # Valid string ending in zero
  valid0:
    0 : R

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[
    {
        "date": "08/08/13", 
        "YoYgrowth": [
            null, 
            "35.1%", 
            "37.2%", 
            null
        ], 
        "ticker": "CVT", 

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#!/usr/bin/python
# -*- coding: utf8 -*-

# SAMPLE SUBMISSION TO THE BIG DATA HACKATHON 13-14 April 2013 'Influencers in a Social Network'
# .... more info on Kaggle and links to go here
#
# written by Ferenc Huszár, PeerIndex

from sklearn import linear_model
from sklearn.metrics import auc_score