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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_observed_state(self, s: pd.Series) -> Dict: """ Sample observed state vector. This is the implementation of the emission function. Args: s: Latent state vector. Returns: Observed state vector. """


        return {
            n[0]: {
                i.name: np.random.normal(s[n[0]] * i.mean, i.stdev)
                for i in n[1]["indicators"].values()
            }
            for n in self.nodes(data=True)
        }