code: def testDatasetSpecConstructor(self):
      rt_spec = ragged_tensor.RaggedTensorSpec([10, None], dtypes.int32)
      st_spec = sparse_tensor.SparseTensorSpec([10, 20], dtypes.float32)
      t_spec = tensor.TensorSpec([10, 8], dtypes.string)
      element_spec = {"rt": rt_spec, "st": st_spec, "t": t_spec}
      ds_struct = dataset_ops.DatasetSpec(element_spec, [5])
      self.assertEqual(ds_struct._element_spec, element_spec)
      # Note: shape was automatically converted from a list to a TensorShape.
      self.assertEqual(
          ds_struct._dataset_shape, tensor_shape.TensorShape([5])
      )
  
imports: import collections
  import dataclasses
  import functools
  from absl.testing import parameterized
  import numpy
  import wrapt
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.util import nest
  from tensorflow.python.data.util import structure
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import tensor_array_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.ops.ragged import ragged_tensor_value
  from tensorflow.python.platform import test
  from tensorflow.python.util.compat import collections_abc
label_desc: Use image node_id 18 for calling the StructureTest obj's underlying member method code with example usage: obj.testDatasetSpecConstructor() without return types