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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 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: Later On: """


        return self._create_warm_start_tuner(additional_parents=additional_parents,
                                             warm_start_type=WarmStartTypes.IDENTICAL_DATA_AND_ALGORITHM)