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