-
Notifications
You must be signed in to change notification settings - Fork 0
/
form_sentence.py
32 lines (28 loc) · 1.64 KB
/
form_sentence.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
import sample
import random
"""generates a sentence with use of the markov histogram"""
def generate_markov_sentence(word_histogram,markov_histogram,amount_of_words):
word_list = [] #initialize empty word list
if len(word_histogram) == 0: #if the histogrm is empty,
raise Exception("No words given")
word = sample.weighted_random_word(word_histogram) #generate the first word
while len(word_list) is not amount_of_words: #do this until we have enough
word_list.append(word) #add the word to the list
#change the word to a sampled weighted word from the inner dictionary
#in the markov histogram of that word
word = sample.weighted_random_word(markov_histogram[word])
return " ".join(word_list)
def generate_second_order_markov_sentence(markov_histogram,amount_of_words):
"""generates a sentence with use of the markov histogram"""
"""MUST pass in a SECOND order markov histogram."""
word_list = [] #initialize empty word list
if len(markov_histogram) == 0: #if the histogrm is empty,
raise Exception("No words given")
word = random.choice(list(markov_histogram)) #generate the first word
while len(word_list) is not amount_of_words: #do this until we have enough
word_list.append(word[1]) #add the word to the list(from the dictogram)
#change the word to a sampled weighted word from the inner dictionary
#in the second order markov histogram of that word
word = (word[1],sample.weighted_random_word(markov_histogram[word]))
word_list[0] = word_list[0].capitalize() #capitalize the first word for our sentence
return " ".join(word_list) + "."