text: # coding=utf-8
  # Copyright 2020 The TensorFlow Datasets Authors.
  #
  # 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 librispeech dataset module."""
  
  from tensorflow_datasets import testing
  from tensorflow_datasets.audio import librispeech
  
  
  class LibrispeechTest(testing.DatasetBuilderTestCase):
    DATASET_CLASS = librispeech.Librispeech
    BUILDER_CONFIG_NAMES_TO_TEST = ["plain_text", "subwords8k"]
    SPLITS = {
        "train_clean100": 2,
        "train_clean360": 2,
        "train_other500": 2,
        "test_clean": 2,
        "test_other": 2,
        "dev_clean": 2,
        "dev_other": 2,
    }
    DL_EXTRACT_RESULT = {
        "train_clean100": "train-clean-100",
        "train_clean360": "train-clean-360",
        "train_other500": "train-other-500",
        "test_clean": "test-clean",
        "test_other": "test-other",
        "dev_clean": "dev-clean",
        "dev_other": "dev-other",
    }
  
  
  if __name__ == "__main__":
    testing.test_main()
  