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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 MergeDataSets(self):
 """Merge the fare rule datasets. The fare rules are first migrated. Merging is done by removing any duplicate rules. Returns: True since fare rules can always be merged. """

    rules = set()
    for (schedule, merge_map, zone_map) in ([self.feed_merger.a_schedule,
                                             self.feed_merger.a_merge_map,
                                             self.feed_merger.a_zone_map],
                                            [self.feed_merger.b_schedule,
                                             self.feed_merger.b_merge_map,
                                             self.feed_merger.b_zone_map]):
      for fare in schedule.GetFareAttributeList():
        for fare_rule in fare.GetFareRuleList():
          fare_id = merge_map[
              schedule.GetFareAttribute(fare_rule.fare_id)].fare_id
          route_id = (fare_rule.route_id and
                      merge_map[schedule.GetRoute(fare_rule.route_id)].route_id)
          origin_id = (fare_rule.origin_id and
                       zone_map[fare_rule.origin_id])
          destination_id = (fare_rule.destination_id and
                            zone_map[fare_rule.destination_id])
          contains_id = (fare_rule.contains_id and
                         zone_map[fare_rule.contains_id])
          rules.add((fare_id, route_id, origin_id, destination_id,
                     contains_id))
    for fare_rule_tuple in rules:
      migrated_fare_rule = transitfeed.FareRule(*fare_rule_tuple)
      self.feed_merger.merged_schedule.AddFareRuleObject(migrated_fare_rule)

    if rules:
      self.feed_merger.problem_reporter.FareRulesBroken(self)
    print('Fare Rules: union has %d fare rules' % len(rules))
    return True