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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 i_logp(self, index):
 """ Evaluates the log-probability of the Markov blanket of a stochastic owning a particular index. """

        all_relevant_stochastics = set()
        p, i = self.stochastic_indices[index]
        try:
            return p.logp + logp_of_set(p.extended_children)
        except ZeroProbability:
            return -Inf