# coding=utf-8
# Copyright 2024 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.

"""smart_buildings_dataset dataset."""

# from tensorflow_datasets.datasets.smart_buildings_dataset
# import smart_buildings_dataset_dataset_builder
# import tensorflow_datasets.public_api as tfds


# class SmartBuildingsDatasetTest(tfds.testing.DatasetBuilderTestCase):
#   """Tests for smart_buildings_dataset dataset."""

#   DATASET_CLASS = smart_buildings_dataset_dataset_builder.Builder
#   SPLITS = {
#       'sb1_23': 12,  # Number of fake train example
#       'sb1_24': 12,  # Number of fake train example
#   }

# 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__':
  pass  # tfds.testing.test_main()
