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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 ClaimRecords(self, limit=10000, timeout="30m", start_time=None, record_filter=lambda x: False, max_filtered=1000):
 """Returns and claims up to limit unclaimed records for timeout seconds. Returns a list of records which are now "claimed", a claimed record will generally be unavailable to be claimed until the claim times out. Note however that in case of an unexpected timeout or other error a record might be claimed twice at the same time. For this reason it should be considered weaker than a true lock. Args: limit: The number of records to claim. timeout: The duration of the claim. start_time: The time to start claiming records at. Only records with a timestamp after this point will be claimed. record_filter: A filter method to determine if the record should be returned. It will be called serially on each record and the record will be filtered (not returned or locked) if it returns True. max_filtered: If non-zero, limits the number of results read when filtered. Specifically, if max_filtered filtered results are read sequentially without any unfiltered results, we stop looking for results. Returns: A list (id, record) where record is a self.rdf_type and id is a record identifier which can be used to delete or release the record. Raises: LockError: If the queue is not locked. """

    if not self.locked:
      raise aff4.LockError("Queue must be locked to claim records.")

    with data_store.DB.GetMutationPool() as mutation_pool:
      return mutation_pool.QueueClaimRecords(
          self.urn,
          self.rdf_type,
          limit=limit,
          timeout=timeout,
          start_time=start_time,
          record_filter=record_filter,
          max_filtered=max_filtered)