text: # Copyright 2017 reinforce.io. 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.
  # ==============================================================================
  
  from tensorforce.core.preprocessors.preprocessor import Preprocessor, PreprocessorStack
  from tensorforce.core.preprocessors.sequence import Sequence
  from tensorforce.core.preprocessors.standardize import Standardize
  from tensorforce.core.preprocessors.running_standardize import RunningStandardize
  from tensorforce.core.preprocessors.normalize import Normalize
  from tensorforce.core.preprocessors.grayscale import Grayscale
  from tensorforce.core.preprocessors.image_resize import ImageResize
  from tensorforce.core.preprocessors.divide import Divide
  from tensorforce.core.preprocessors.clip import Clip
  from tensorforce.core.preprocessors.flatten import Flatten
  
  
  preprocessors = dict(
      sequence=Sequence,
      standardize=Standardize,
      running_standardize=RunningStandardize,
      normalize=Normalize,
      grayscale=Grayscale,
      image_resize=ImageResize,
      divide=Divide,
      clip=Clip,
      flatten=Flatten
  )
  
  
  __all__ = [
      'preprocessors',
      'Preprocessor',
      'PreprocessorStack',
      'Sequence',
      'Standardize',
      'RunningStandardize',
      'Normalize',
      'Grayscale',
      'ImageResize',
      'Divide',
      'Clip',
      'Flatten'
  ]
  