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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def sample_from_likelihood(self, n_timesteps=10):
 """ Sample a collection of observed state sequences from the likelihood model given a collection of transition matrices. Args: n_timesteps: The number of timesteps for the sequences. """


        self.latent_state_sequences = lmap(
            lambda A: ltake(
                n_timesteps,
                iterate(
                    lambda s: pd.Series(A @ s.values, index=s.index), self.s0
                ),
            ),
            self.transition_matrix_collection,
        )

        self.observed_state_sequences = [
            [self.sample_observed_state(s) for s in latent_state_sequence]
            for latent_state_sequence in self.latent_state_sequences
        ]