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A Àfrica amb mon pare.
A Àfrica era famós per evitar les drogues.
A Àfrica xafàvem sang a cada petjada.
A això crida supervivent?
A això em refereixo.
A això em refereixo exactament.
A això em referia.
A això és al què em refereixo a l'aigua.
A això es redueix tot?
A això es referia?

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import sys
import itertools
import copy
import random

def overlap_rule(l, mi):
  desired = []
  length = len(l)
  c_l = copy.deepcopy(l)
  index = random.randint(1,length) - 1

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#!/usr/bin/python
# -*- encoding: utf-8 -*-
from __future__ import unicode_literals
from pylab import *


import json
import codecs
import pymongo
import time

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#!/usr/bin/python
# -*- encoding: utf-8 -*-
#from tweepy.streaming import StreamListener
#from tweepy import OAuthHandler
#from tweepy import Stream
import tweepy
import json
import codecs
import os
import sys

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#!/usr/bin/python
# -*- encoding: utf-8 -*-
from __future__ import unicode_literals
import json
import codecs
import sys
import os

def getOldTweets(filename):
    input_file  = file(filename, "r")

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#!/usr/bin/python
# -*- encoding: utf-8 -*-
#from tweepy.streaming import StreamListener
#from tweepy import OAuthHandler
#from tweepy import Stream
import tweepy
import json
import codecs
import os

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module Kind_Types
implicit none
save
  integer, parameter, public::    &
      single = selected_real_kind(p=6,r=37),   &
      double = selected_real_kind(p=13,r=200)
	!  p = precision
	!  r = range
	! return smallest kind of real value with a minimum
	!  of p decimal digits and maximum range >10^r

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#!/usr/bin/python

from os import popen

def loadData(inputFile,delimiter):
    data = []
    for line in inputFile:
        if line.startswith("#"):
            continue
        data.append([str(v) for v in line.strip().split(delimiter)])

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#!/usr/bin/jython
# -*- coding: utf-8 -*-
import sys
import os

import java.lang.System.out
import java.util.Arrays
import java.util.List

zembereksourcedir = ?

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#Name 		V		RA		DEC		Paper
WD0030+44 	16.59	00 33 02.78 	+44 44 13.2 	Zhao et al.(2012)
WD0315-011	10.03	03 18 25.0 	-00 55 12	Catalan et al. (2008)
WD0413-077	9.50	04 15 21.786 	-07 39 29.22	40 EriB Catalan et al. (2008) Zhao et al.(2012)
WD0615-591 	14.09	06 16 14.26 	-59 12 27.5	Zhao et al.(2012)
WD0642-285 	15.2	06 44 28.727 	-28 32 37.99	Zhao et al.(2012)
WD0845-188	15.68	08 47 29.44 	-18 59 49.8	Zhao et al.(2012)
WD1354+340	16.20	13 57 06 	+33 48.8	Catalan et al. (2008)
WD1544-374 	12.80	15 47 30.11 	-37 55 08.3	Zhao et al.(2012)
WD1544-377	12.80	15 47 30.11 	-37 55 08.3	same as -374 Catalan et al. (2008)