old_contents: # Copyright 2019 kubeflow.org.
  #
  # 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.
  
  import argparse
  import logging
  import sys
  
  import kfserving
  from sklearnserver import SKLearnModel, SKLearnModelRepository
  
  DEFAULT_MODEL_NAME = "model"
  DEFAULT_LOCAL_MODEL_DIR = "/tmp/model"
  
  parser = argparse.ArgumentParser(parents=[kfserving.kfserver.parser])
  parser.add_argument('--model_dir', required=True,
                      help='A URI pointer to the model binary')
  parser.add_argument('--model_name', default=DEFAULT_MODEL_NAME,
                      help='The name that the model is served under.')
  args, _ = parser.parse_known_args()
  
  if __name__ == "__main__":
      model = SKLearnModel(args.model_name, args.model_dir)
      try:
          model.load()
      except Exception:
          ex_type, ex_value, _ = sys.exc_info()
          logging.error(f"fail to load model {args.model_name} from dir {args.model_dir}. "
                        f"exception type {ex_type}, exception msg: {ex_value}")
          model.ready = False
      kfserving.KFServer(registered_models=SKLearnModelRepository(args.model_dir)).start([model] if model.ready else [])
  
new_contents: # Copyright 2019 kubeflow.org.
  #
  # 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.
  
  import argparse
  import logging
  import sys
  
  import kfserving
  from sklearnserver import SKLearnModel, SKLearnModelRepository
  
  DEFAULT_MODEL_NAME = "model"
  DEFAULT_LOCAL_MODEL_DIR = "/tmp/model"
  
  parser = argparse.ArgumentParser(parents=[kfserving.kfserver.parser])
  parser.add_argument('--model_dir', required=True,
                      help='A URI pointer to the model binary')
  parser.add_argument('--model_name', default=DEFAULT_MODEL_NAME,
                      help='The name that the model is served under.')
  args, _ = parser.parse_known_args()
  
  if __name__ == "__main__":
      model = SKLearnModel(args.model_name, args.model_dir)
      try:
          model.load()
      except Exception:
          exc_info = sys.exc_info()
          logging.error(f"fail to load model {args.model_name} from dir {args.model_dir}. "
                        f"exception type {exc_info[0]}, exception msg: {exc_info[1]}")
          model.ready = False
      kfserving.KFServer(registered_models=SKLearnModelRepository(args.model_dir)).start([model] if model.ready else [])
  
subject: fix broken mypy test (#1670)