text: # 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 the TextLineDataset 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 import reader_dataset_ops_test_base
  from tensorflow.python.data.experimental.kernel_tests.serialization import dataset_serialization_test_base
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import readers as core_readers
  from tensorflow.python.framework import combinations
  from tensorflow.python.platform import test
  
  
  class TextLineDatasetSerializationTest(
      reader_dataset_ops_test_base.TextLineDatasetTestBase,
      dataset_serialization_test_base.DatasetSerializationTestBase,
      parameterized.TestCase):
  
    def _build_iterator_graph(self, test_filenames, compression_type=None):
      return core_readers.TextLineDataset(
          test_filenames, compression_type=compression_type, buffer_size=10)
  
    @combinations.generate(test_base.default_test_combinations())
    def testTextLineCore(self):
      compression_types = [None, "GZIP", "ZLIB"]
      num_files = 5
      lines_per_file = 5
      num_outputs = num_files * lines_per_file
      for compression_type in compression_types:
        test_filenames = self._createFiles(
            num_files,
            lines_per_file,
            crlf=True,
            compression_type=compression_type)
        # pylint: disable=cell-var-from-loop
        self.run_core_tests(
            lambda: self._build_iterator_graph(test_filenames, compression_type),
            num_outputs)
        # pylint: enable=cell-var-from-loop
  
  
  if __name__ == "__main__":
    test.main()
  