code: def testTypeSpecComponents(
      self,
      distribution,
      enable_get_next_as_optional,
      experimental_place_dataset_on_device,
      experimental_fetch_to_device,
  ):
      dataset = dataset_ops.DatasetV2.range(10).batch(2)
      distribution.extended.experimental_enable_get_next_as_optional = (
          enable_get_next_as_optional
      )
  
      options = distribute_lib.InputOptions(
          experimental_place_dataset_on_device=experimental_place_dataset_on_device,
          experimental_fetch_to_device=experimental_fetch_to_device,
      )
  
      dist_dataset = distribution.experimental_distribute_dataset(
          dataset, options
      )
  
      spec = dist_dataset._type_spec
      self.assertEqual(spec._input_workers, dist_dataset._input_workers)
      self.assertEqual(
          spec._element_spec._value_specs,
          (
              tensor_spec.TensorSpec(
                  shape=(None,), dtype=dtypes.int64, name=None
              ),
              tensor_spec.TensorSpec(
                  shape=(None,), dtype=dtypes.int64, name=None
              ),
          ),
      )
      components = spec._to_components(dist_dataset)
      re_dist_dataset = spec._from_components(components)
  
      self.assertEqual(
          dist_dataset._input_workers, re_dist_dataset._input_workers
      )
      self.assertAllEqual(
          dist_dataset._cloned_datasets,
          re_dist_dataset._cloned_datasets,
      )
      self.assertEqual(
          dist_dataset._element_spec, re_dist_dataset._element_spec
      )
      self.assertEqual(
          dist_dataset._enable_get_next_as_optional,
          re_dist_dataset._enable_get_next_as_optional,
      )
      self.assertEqual(dist_dataset._options, re_dist_dataset._options)
  
imports: import os
  from absl.testing import parameterized
  import numpy
  from tensorflow.python import tf2
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import readers
  from tensorflow.python.distribute import combinations
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.distribute import strategy_combinations
  from tensorflow.python.distribute import test_util
  from tensorflow.python.distribute import tpu_strategy
  from tensorflow.python.distribute import values
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import test
  from tensorflow.python.framework import composite_tensor
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import string_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.util import nest
label_desc: Use image node_id 4 for calling the DistributedDatasetTypeSpecTest obj's underlying member method code with example usage: obj.testTypeSpecComponents(distribution, enable_get_next_as_optional, experimental_place_dataset_on_device, experimental_fetch_to_device) without return types