docs: def identical_dataset_and_algorithm_tuner(self, additional_parents=None):
          """Creates a new ``HyperparameterTuner`` by copying the request fields from the provided parent to the new
          instance of ``HyperparameterTuner``. Followed by addition of warm start configuration with the type as
          "IdenticalDataAndAlgorithm" and parents as the union of provided list of ``additional_parents`` and the ``self``
  
          Args:
              additional_parents (set{str}): Set of additional parents along with the self to be used in warm starting
              the identical dataset and algorithm tuner.
  
          Returns:
              sagemaker.tuner.HyperparameterTuner: HyperparameterTuner instance which can be used to launch identical
              dataset and algorithm tuning job.
  
          Examples:
              >>> parent_tuner = HyperparameterTuner.attach(tuning_job_name="parent-job-1")
              >>> identical_dataset_algo_tuner = parent_tuner.identical_dataset_and_algorithm_tuner(
              >>>                                                             additional_parents={"parent-job-2"})
              Later On:
              >>> identical_dataset_algo_tuner.fit(inputs={})
          """
  
          return self._create_warm_start_tuner(additional_parents=additional_parents,
                                               warm_start_type=WarmStartTypes.IDENTICAL_DATA_AND_ALGORITHM)