code: def chunks(self, chunk_size: int) -> Generator['TranslatorInput', None, None]:
          
  
          if len(self.tokens) > chunk_size and self.constraints is not None:
              logger.warning(
                  'Input %s has length (%d) that exceeds max input length (%d), '
                  'triggering internal splitting. Placing all target-side constraints '
                  'with the first chunk, which is probably wrong.',
                  self.sentence_id, len(self.tokens), chunk_size)
  
          for chunk_id, i in enumerate(range(0, len(self), chunk_size)):
              factors = [factor[i:i + chunk_size] for factor in self.factors] if self.factors is not None else None
              # Constrained decoding is not supported for chunked TranslatorInputs. As a fall-back, constraints are
              # assigned to the first chunk
              constraints = self.constraints if chunk_id == 0 else None
              pass_through_dict = self.pass_through_dict if chunk_id == 0 else None
              yield TranslatorInput(sentence_id=self.sentence_id,
                                    tokens=self.tokens[i:i + chunk_size],
                                    factors=factors,
                                    restrict_lexicon=self.restrict_lexicon,
                                    constraints=constraints,
                                    avoid_list=self.avoid_list,
                                    pass_through_dict=pass_through_dict)
docs: Takes a TranslatorInput (itself) and yields TranslatorInputs for chunks of size chunk_size.
  
          :param chunk_size: The maximum size of a chunk.
          :return: A generator of TranslatorInputs, one for each chunk created.