def tweet():
# return 'Hello World!'
# PLEASE SET THE CORPUS.txt AND TWEET LENGTH
filename = "corpus.txt"
words_list = parsing_tokenizing_byRE.parsing(filename)
tuple_of_hashtable = markov_chain.store_to_hashtable(words_list)
tweet_length = 20
output_words = markov_chain.random_walk(tuple_of_hashtable, words_list, tweet_length)
return(' '.join(output_words))
for next_tuple in list_for_next:
probability_index_end = probability_index_initial + next_tuple[1]
list_for_next_rev.append((next_tuple[0], probability_index_end))
probability_index_initial = probability_index_end
random_index = random.randint(1, probability_index_end)
range_initial = 0
for i in range(0, len(list_for_next_rev)):
range_end = list_for_next_rev[i][1]
if range_initial < random_index and random_index <= range_end:
next_word = list_for_next_rev[i][0]
break
else:
range_initial = range_end
output_words.append(next_word)
if words_list[-1] == next_word:
initial_word = random.choice(list_wo_end)
else:
initial_word = next_word
return(output_words)
if __name__ == '__main__':
# PLEASE SET THE CORPUS.txt AND TWEET LENGTH
filename = "corpus.txt"
words_list = parsing_tokenizing_byRE.parsing(filename)
print(words_list)
tuple_of_hashtable = store_to_hashtable(words_list)
tweet_length = 20
output_words = random_walk(tuple_of_hashtable, words_list, tweet_length)
print(' '.join(output_words))
