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 `tensorflow_datasets.core.visualization.show_examples`."""
  
  import mock
  
  from tensorflow_datasets import testing
  from tensorflow_datasets.core import registered
  from tensorflow_datasets.core import visualization
  
  # Import for registration
  from tensorflow_datasets.image_classification import imagenet  # pylint: disable=unused-import,g-bad-import-order
  
  
  class ShowExamplesTest(testing.TestCase):
  
    @mock.patch('matplotlib.pyplot.figure')
    def test_show_examples(self, mock_fig):
      with testing.mock_data(num_examples=20):
        ds, ds_info = registered.load(
            'imagenet2012', split='train', with_info=True)
      visualization.show_examples(ds, ds_info)
  
    # TODO(tfds): Should add test when there isn't enough examples (ds.take(3))
  
  
  class ShowStatisticsTest(testing.TestCase):
  
    def test_show_examples(self):
      with testing.mock_data():
        builder = registered.builder('imagenet2012')
        visualization.show_statistics(builder.info)
  
  
  if __name__ == '__main__':
    testing.test_main()
  