text: # Copyright 2019 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 the ShardDataset serialization."""
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  from absl.testing import parameterized
  
  from tensorflow.python.data.experimental.kernel_tests.serialization import dataset_serialization_test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.platform import test
  
  
  class ShardDatasetSerializationTest(
      dataset_serialization_test_base.DatasetSerializationTestBase,
      parameterized.TestCase):
  
    def _build_dataset(self, num_elements, num_shards, index):
      return dataset_ops.Dataset.range(num_elements).shard(num_shards, index)
  
    @parameterized.parameters((10, 5, 2, 3), (10, 10, 0, 9), (100, 2, 0, 1))
    def testCore(self, elems, num_shards, index1, index2):
      self.run_core_tests(lambda: self._build_dataset(elems, num_shards, index1),
                          lambda: self._build_dataset(elems, num_shards, index2),
                          elems // num_shards)
  
  
  if __name__ == "__main__":
    test.main()
  