old_contents: # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # ==============================================================================
  """Tests for `tf.data.Dataset.enumerate()`."""
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.platform import test
  
  
  @test_util.run_all_in_graph_and_eager_modes
  class EnumerateTest(test_base.DatasetTestBase):
  
    def testEnumerate(self):
      components = (["a", "b"], [1, 2], [37.0, 38])
      start = constant_op.constant(20, dtype=dtypes.int64)
  
      dataset = dataset_ops.Dataset.from_tensor_slices(components).enumerate(
          start)
  
      self.assertEqual(dtypes.int64,
                       dataset_ops.get_legacy_output_types(dataset)[0])
      dataset_output_shapes = dataset_ops.get_legacy_output_shapes(dataset)
      self.assertEqual((), dataset_output_shapes[0])
      self.assertEqual([tensor_shape.TensorShape([])] * 3,
                       [shape for shape in dataset_output_shapes[1]])
  
      self.assertDatasetProduces(dataset, [(20, (b"a", 1, 37.0)),
                                           (21, (b"b", 2, 38.0))])
  
  
  if __name__ == "__main__":
    test.main()
  
new_contents: # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # ==============================================================================
  """Tests for `tf.data.Dataset.enumerate()`."""
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  from absl.testing import parameterized
  
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.platform import test
  
  
  class EnumerateTest(test_base.DatasetTestBase, parameterized.TestCase):
  
    @combinations.generate(test_base.default_test_combinations())
    def testEnumerate(self):
      components = (["a", "b"], [1, 2], [37.0, 38])
      start = constant_op.constant(20, dtype=dtypes.int64)
  
      dataset = dataset_ops.Dataset.from_tensor_slices(components).enumerate(
          start)
  
      self.assertEqual(dtypes.int64,
                       dataset_ops.get_legacy_output_types(dataset)[0])
      dataset_output_shapes = dataset_ops.get_legacy_output_shapes(dataset)
      self.assertEqual((), dataset_output_shapes[0])
      self.assertEqual([tensor_shape.TensorShape([])] * 3,
                       [shape for shape in dataset_output_shapes[1]])
  
      self.assertDatasetProduces(dataset, [(20, (b"a", 1, 37.0)),
                                           (21, (b"b", 2, 38.0))])
  
  
  if __name__ == "__main__":
    test.main()
  
subject: Use combinations to test eager/graph mode and TF v1/v2 for enumerate_test.py