code: def testDataclasses(self):
      mt = MaskedTensor(mask=True, value=constant_op.constant([1]))
  
      mt_type_spec = structure.type_spec_from_value(mt)
      self.assertEqual(mt_type_spec.mask, mt.mask)
      self.assertEqual(
          mt_type_spec.value, structure.type_spec_from_value(mt.value)
      )
  
      mt2 = MaskedTensor(mask=True, value=constant_op.constant([2]))
      mt3 = MaskedTensor(mask=False, value=constant_op.constant([1]))
      mt2_type_spec = structure.type_spec_from_value(mt2)
      mt3_type_spec = structure.type_spec_from_value(mt3)
      self.assertEqual(mt_type_spec, mt2_type_spec)
      self.assertNotEqual(mt_type_spec, mt3_type_spec)
  
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 23 for calling the StructureTest obj's underlying member method code with example usage: obj.testDataclasses() without return types