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43 lines
1.2 KiB
Python
43 lines
1.2 KiB
Python
import random
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class Markov(object):
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def __init__(self, open_file):
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self.cache = {}
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self.open_file = open_file
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self.words = self.file_to_words()
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self.word_size = len(self.words)
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self.database()
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def file_to_words(self):
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self.open_file.seek(0)
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data = self.open_file.read()
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words = data.split()
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return words
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def triples(self):
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if len(self.words) < 3:
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return
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for i in range(len(self.words) - 2):
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yield (self.words[i], self.words[i+1], self.words[i+2])
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def database(self):
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for w1, w2, w3 in self.triples():
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key = (w1, w2)
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if key in self.cache:
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self.cache[key].append(w3)
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else:
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self.cache[key] = [w3]
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def generate_text(self, size=25):
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seed = random.randint(0, self.word_size - 3)
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seed_word, next_word = self.words[seed], self.words[seed+1]
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w1, w2 = seed_word, next_word
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gen_words = []
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for i in range(size):
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gen_words.append(w1)
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w1, w2 = w2, random.choice(self.cache[(w1, w2)])
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gen_words.append(w2)
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return ' '.join(gen_words)
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