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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 learn(self, matches, recall):
        '''
        Takes in a set of training pairs and predicates and tries to find
        a good set of blocking rules.
        '''
        compound_length = 2

        dupe_cover = Cover(self.blocker.predicates, matches)
        dupe_cover.dominators(cost=self.total_cover)
        dupe_cover.compound(compound_length)

        comparison_count = self.comparisons(dupe_cover, compound_length)

        dupe_cover.dominators(cost=comparison_count, comparison=True)

        coverable_dupes = set.union(*viewvalues(dupe_cover))
        uncoverable_dupes = [pair for i, pair in enumerate(matches)
                             if i not in coverable_dupes]

        epsilon = int((1.0 - recall) * len(matches))

        if len(uncoverable_dupes) > epsilon:
            logger.warning(OUT_OF_PREDICATES_WARNING)
            logger.debug(uncoverable_dupes)
            epsilon = 0
        else:
            epsilon -= len(uncoverable_dupes)

        for pred in dupe_cover:
            pred.count = comparison_count[pred]

        searcher = BranchBound(len(coverable_dupes) - epsilon, 2500)
        final_predicates = searcher.search(dupe_cover)

        logger.info('Final predicate set:')
        for predicate in final_predicates:
            logger.info(predicate)

        return final_predicates