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.
  
  # Lint as: python3
  """Tests for tiny Shakespeare dataset."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  from tensorflow_datasets import testing
  from tensorflow_datasets.text import tiny_shakespeare
  
  
  class TinyShakespeareTest(testing.DatasetBuilderTestCase):
    DATASET_CLASS = tiny_shakespeare.TinyShakespeare
    SPLITS = {
        "train": 1,
        "validation": 1,
        "test": 1,
    }
  
    # If you are calling `download/download_and_extract` with a dict, like:
    #   dl_manager.download({'some_key': 'http://a.org/out.txt', ...})
    # then the tests needs to provide the fake output paths relative to the
    # fake data directory
    # DL_EXTRACT_RESULT = {'some_key': 'output_file1.txt', ...}
  
  
  if __name__ == "__main__":
    testing.test_main()
  
  