code: def __init__(self, return_type: str, *args, **kwargs):
      self.return_type = return_type
      super(SavingTrainable, self).__init__(*args, **kwargs)
  
imports: import json
  import os
  from typing import Dict, Union
  import pytest
  import ray
  from ray import train, tune
  from ray.train._internal.storage import StorageContext
  from ray.tune.trainable import wrap_function
  from ray.train.tests.util import create_dict_checkpoint
label_desc: Use image node_id 1 to create a new SavingTrainable object from inherited base classes: tune with example: obj = SavingTrainable(return_type)