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Bio.MarkovModel.find_states

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src/b/i/biopython-1.63/Tests/test_MarkovModel.py   biopython(Download)
            ]
        markov_model = MarkovModel.train_visible(states, alphabet, training_data)
        states = MarkovModel.find_states(markov_model, "AACGTT")
        self.assertEqual(len(states), 1)
        state_list, state_float = states[0]

        markov_model = MarkovModel.MarkovModel(
            states, alphabet, p_initial, p_transition, p_emission)
        states = MarkovModel.find_states(markov_model, "TGCC")
        self.assertEqual(len(states), 1)
        state_list, state_float = states[0]

        markov_model = MarkovModel.MarkovModel(
            states, alphabet, p_initial, p_transition, p_emission)
        states = MarkovModel.find_states(markov_model, "CCTGAGTTAGTCGT")
        self.assertEqual(len(states), 1)
        state_list, state_float = states[0]

        markov_model = MarkovModel.MarkovModel(
            states, alphabet, p_initial, p_transition, p_emission)
        states = MarkovModel.find_states(markov_model, "CCGTACTTACCCAGGACCGCAGTCC")
        self.assertEqual(len(states), 1)
        state_list, state_float = states[0]

        markov_model = MarkovModel.MarkovModel(
            states, alphabet, p_initial, p_transition, p_emission)
        states = MarkovModel.find_states(markov_model, "TTAGCAGTGCG")
        self.assertEqual(len(states), 1)
        state_list, state_float = states[0]


src/b/i/biopython-HEAD/Tests/test_MarkovModel.py   biopython(Download)
            ]
        markov_model = MarkovModel.train_visible(states, alphabet, training_data)
        states = MarkovModel.find_states(markov_model, "AACGTT")
        self.assertEqual(len(states), 1)
        state_list, state_float = states[0]

        markov_model = MarkovModel.MarkovModel(
            states, alphabet, p_initial, p_transition, p_emission)
        states = MarkovModel.find_states(markov_model, "TGCC")
        self.assertEqual(len(states), 1)
        state_list, state_float = states[0]

        markov_model = MarkovModel.MarkovModel(
            states, alphabet, p_initial, p_transition, p_emission)
        states = MarkovModel.find_states(markov_model, "CCTGAGTTAGTCGT")
        self.assertEqual(len(states), 1)
        state_list, state_float = states[0]

        markov_model = MarkovModel.MarkovModel(
            states, alphabet, p_initial, p_transition, p_emission)
        states = MarkovModel.find_states(markov_model, "CCGTACTTACCCAGGACCGCAGTCC")
        self.assertEqual(len(states), 1)
        state_list, state_float = states[0]

        markov_model = MarkovModel.MarkovModel(
            states, alphabet, p_initial, p_transition, p_emission)
        states = MarkovModel.find_states(markov_model, "TTAGCAGTGCG")
        self.assertEqual(len(states), 1)
        state_list, state_float = states[0]