code: def testMostSpecificCompatibleType(
      self, input_type, distribution, enable_get_next_as_optional
  ):
      if not tf2.enabled():
          self.skipTest(
              "DistributedIterator has CompositeTensor support in "
              "TF 2 only."
          )
      distribution.extended.experimental_enable_get_next_as_optional = (
          enable_get_next_as_optional
      )
  
      ds1 = dataset_ops.DatasetV2.range(10).batch(2).batch(5)
      ds2 = dataset_ops.DatasetV2.from_tensors(
          array_ops.zeros([5, 2], dtypes.int64)
      )
      dist_ds1 = distribution.experimental_distribute_dataset(ds1)
      dist_ds2 = distribution.experimental_distribute_dataset(ds2)
  
      with distribution.scope():
          iter1 = iter(dist_ds1)
          iter2 = iter(dist_ds2)
  
      spec1 = (
          iter1._type_spec
      )  # Wrapped TensorSpec has shape [None, None]
      spec2 = iter2._type_spec  # Wrapped TensorSpec has shape [None, 2]
  
      self.assertNotEqual(spec1, spec2)
      self.assertEqual(
          spec1, spec1.most_specific_compatible_type(spec2)
      )
      self.assertEqual(
          spec1, spec2.most_specific_compatible_type(spec1)
      )
  
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 3 for calling the InputTypeSpecTest obj's underlying member method code with example usage: obj.testMostSpecificCompatibleType(input_type, distribution, enable_get_next_as_optional) without return types