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How to use the markovify.Text.from_chain function in markovify

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github jsvine / markovify / test / test_basic.py View on Github external
def test_chain(self):
        text_model = self.sherlock_model
        chain_json = text_model.chain.to_json()

        stored_chain = markovify.Chain.from_json(chain_json)
        assert(get_sorted(stored_chain.to_json()) == get_sorted(chain_json))

        new_text_model = markovify.Text.from_chain(chain_json)
        assert(get_sorted(new_text_model.chain.to_json()) == get_sorted(chain_json))

        sent = new_text_model.make_sentence()
        assert(len(sent) != 0)

markovify

A simple, extensible Markov chain generator. Uses include generating random semi-plausible sentences based on an existing text.

GitHub
MIT
Latest version published 2 years ago

Package Health Score

57 / 100
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