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markov.py
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23
markov.py
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from collections import defaultdict
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from random import choice, randrange
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suivants = defaultdict(list)
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with open("fra_wikipedia_2021_10K-sentences.txt", "r", encoding="utf-8") as fichier:
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for phrase in fichier:
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antepenultieme, penultieme = "", ""
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for word in phrase.split():
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suivants[(antepenultieme, penultieme)].append(word)
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antepenultieme, penultieme = penultieme, word
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def parle():
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phrases = []
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for _ in range(randrange(1, 4)):
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antepenultieme, penultieme = "", ""
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phrase = []
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while mots_possibles := suivants[(antepenultieme, penultieme)]:
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mot_suivants = choice(mots_possibles)
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phrase.append(mot_suivants)
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antepenultieme, penultieme = penultieme, mot_suivants
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phrases.append(" ".join(phrase))
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return "\n".join(phrases)
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