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# coding=UTF-8
from __future__ import division
import re
# This is a naive text summarization algorithm
# Created by Shlomi Babluki
# April, 2013
class SummaryTool(object):
# coding=UTF-8
import nltk
from nltk.corpus import brown
# This is a fast and simple noun phrase extractor (based on NLTK)
# Feel free to use it, just keep a link back to this post
# http://thetokenizer.com/2013/05/09/efficient-way-to-extract-the-main-topics-of-a-sentence/
# Create by Shlomi Babluki
# May, 2013
# coding=UTF-8
from __future__ import division
import nltk
import re
import requests
# Add your freebase key here
# If you don't have one, register at https://code.google.com/apis/console
FREEBASE_KEY = ""
# coding=UTF-8
from __future__ import division
import nltk
import re
import requests
# Add your freebase key here
# If you don't have one, register at https://code.google.com/apis/console
FREEBASE_KEY = ""
public class Maze {
public int counter = 0;
public char[][] maze =
{{'#', '#', '#', '#', '#', '#', '#', '#', '#', '#'},
{'#', ' ', ' ', ' ', '#', ' ', '#', ' ', ' ', '#'},
{'#', ' ', ' ', ' ', '#', ' ', '#', ' ', '#', '#'},
{'#', ' ', ' ', ' ', ' ', ' ', ' ', ' ', ' ', '#'},
# coding=UTF-8
from __future__ import division
import nltk
from collections import Counter
# This is a simple tool for adding automatic hashtags into an article title
# Created by Shlomi Babluki
# Sep, 2013