79 lines
2.1 KiB
Python
79 lines
2.1 KiB
Python
#!/usr/bin/env python
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from sys import argv
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from random import randint, choice
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class MarkovGenerator:
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overall = object()
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def __init__(self):
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self.distribution = {}
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def add(self, first, second):
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if first not in self.distribution:
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self.distribution[first] = { MarkovGenerator.overall : 0 }
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if second not in self.distribution[first]:
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self.distribution[first][second] = 0
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self.distribution[first][MarkovGenerator.overall] += 1
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self.distribution[first][second] += 1
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def getrandomfollower(self,word):
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i = randint(0,self.distribution[word][MarkovGenerator.overall]-1)
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for follower, occurances in self.distribution[word].items():
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if follower == MarkovGenerator.overall:
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continue
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if i < occurances:
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return follower
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else:
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i -= occurances
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return None
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def scantext(self,text):
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prevtoken = None
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while len(text) > 0:
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parts = text.split(" ",1)
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if len(parts) == 1:
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text = ""
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token = parts[0]
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else:
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token, text = parts
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token = token.strip(".,!?\"()[]{}\n")
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if prevtoken is not None:
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self.add(prevtoken,token)
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prevtoken = token
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def getrandomword(self):
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return choice(list(self.distribution.keys()))
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def generate(self, n):
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word = self.getrandomword()
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text = word
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for i in range(1,n):
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word = self.getrandomfollower(word)
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if word is None:
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word = self.getrandomword()
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text += ". " + word
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else:
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text += " " + word
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return text
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def debug(self):
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print("\n".join(self.distribution.keys()))
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def main():
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if len(argv) > 1:
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filename = argv[1]
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else:
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filename = "test.txt"
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text = open(filename,"r").read()
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mg = MarkovGenerator()
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mg.scantext(text)
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print(mg.generate(100))
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if __name__ == '__main__':
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main()
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