code: # Copyright 2019 Google LLC. 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.
  """TFT benchmark for Chicago Taxi dataset."""
  
  from absl import flags
  from tfx.benchmarks import tft_benchmark_base
  from tfx.benchmarks.datasets.chicago_taxi import dataset
  
  from tensorflow.python.platform import test  # pylint: disable=g-direct-tensorflow-import
  
  FLAGS = flags.FLAGS
  flags.DEFINE_integer("num_analyzers_wide", 10,
                       "Number of analyzers in the TFT preprocessing function. "
                       "Only used in `TFTBenchmarkChicagoTaxiWide`.")
  
  
  class TFTBenchmarkChicagoTaxi(tft_benchmark_base.TFTBenchmarkBase):
  
    def __init__(self, **kwargs):
      super().__init__(dataset=dataset.get_dataset(), **kwargs)
  
  
  class TFTBenchmarkChicagoTaxiWide(tft_benchmark_base.TFTBenchmarkBase):
  
    def __init__(self, **kwargs):
      super().__init__(
          dataset=dataset.get_wide_dataset(num_analyzers=self._num_analyzers()),
          **kwargs)
  
    def _num_analyzers(self):
      return (FLAGS.num_analyzers_wide
              if FLAGS.is_parsed() else FLAGS["num_analyzers_wide"].default)
  
  
  if __name__ == "__main__":
    test.main()
  
apis: tensorflow.python.platform.test.main