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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 covering_is_required(self, match_set):
 """Return a Boolean indicating whether covering is required for the current match set. The match_set argument is a MatchSet instance representing the current match set before covering is applied. Usage: match_set = model.match(situation) if model.algorithm.covering_is_required(match_set):
 new_rule = model.algorithm.cover(match_set) assert new_rule.condition(situation) model.add(new_rule) match_set = model.match(situation) Arguments: match_set: A MatchSet instance. Return: A bool indicating whether match_set contains too few matching classifier rules and therefore needs to be augmented with a new one. """

        assert isinstance(match_set, MatchSet)
        assert match_set.algorithm is self

        if self.minimum_actions is None:
            return len(match_set) < len(match_set.model.possible_actions)
        else:
            return len(match_set) < self.minimum_actions