code: def __init__(self, input_dataset):
      self._input_dataset = input_dataset
      temp_variant_tensor = gen_dataset_ops.prefetch_dataset(
          input_dataset._variant_tensor,
          buffer_size=1,
          **self._flat_structure,
      )
      variant_tensor = gen_dataset_ops.model_dataset(
          temp_variant_tensor, **self._flat_structure
      )
      super(_TestDataset, self).__init__(input_dataset, variant_tensor)
  
imports: import os
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import readers
  from tensorflow.python.data.util import structure
  from tensorflow.python.distribute import input_ops
  from tensorflow.python.eager import context
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import test_util
  from tensorflow.python.lib.io import python_io
  from tensorflow.python.ops import gen_dataset_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
  from tensorflow.python.util import compat
label_desc: Use image node_id 1 to create a new _TestDataset object from inherited base classes: dataset_ops with example: obj = _TestDataset(input_dataset)