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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 loglike(self):
        '''
        The summed log-probability of all stochastic variables that depend on
        self.stochastics, with self.stochastics removed.
        '''
        sum = logp_of_set(self.children)
        if self.verbose > 2:
            print_('\t' + self._id + ' Current log-likelihood ', sum)
        return sum