adammenges

# coding: utf-8
import requests
import os.path
import time

def multiple_tries(func, times, timeout):
	for cnt in xrange(1, times + 1):
		try:
			return func()
		except Exception, e:

adammenges

import string, sklearn, random

from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer
from sklearn.svm import SVC
from sklearn.pipeline import Pipeline
from sklearn.grid_search import GridSearchCV
from sklearn.cross_validation import StratifiedKFold

def tok(m):
  return m.split()

adammenges

def fizzbuzz(n):
    for i in xrange(1, n+1): print [i, 'Fizz', 'Buzz', 'FizzBuzz'][(i%3 == 0) + 2 * (i % 5 == 0)]

adammenges

public void shuffleCards (int[] cards){ 
  int temp, index;
  for (int i = 0; i < cards.length; i++){
    index = (int) (Math.random() * (cards.length - i)) + i;
    temp = cards[i];
    cards[i] = cards[index];
    cards[index] = temp;
  }
}

adammenges

public boolean inUnique(string str) {
     boolean[] chars = new boolean[256]; // Size only works with ASCII, increase otherwise.
     for(int i=0; i<str.size(); i++){
          if(chars[str.charAt(i)]) return false;
          chars[str.charAt(i)] = true;
     }
     return true;
}

adammenges

unsigned int i;
for(i=100; i<=0; --i) 
  print(i)

adammenges

public boolean isUnique(string str) {
     for(int i=0; i<str.size(); i++){
          for(int j=0; j<str.size(); j++) {
               if(i==j) continue;
               else if(str.charAt(j) == str.charAt(i)) return false;
          }
     }
     return true;
}

adammenges

def validParentheses? str
  a = []
  str.each_char do |x|
    if x == '('
      a.push x
    elsif x == ')'
      return false if a.pop == nil 
    end
  end
  a.empty?

adammenges

def fizzbuzz(n):
    print "\n".join([('Fizz'*(not i%3) + 'Buzz'*(not i%5)) if ((not i%3) or (not i%5)) else str(i) for i in xrange(1, n+1)])

adammenges

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)