old_contents: # Copyright 2020 The TensorFlow Authors. 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.
  # ==============================================================================
  """The TFLite Support Library.
  
  Install the pip package:
  
  ```
  pip install tflite-support
  ```
  
  To learn more about metadata, flatbuffers and TensorFlow Lite models, check out
  the [metadata section](https://www.tensorflow.org/lite/convert/metadata) of the
  TF Lite guide.
  """
  
  # In the original project structure, all python targets are accessed by paths
  # like tensorflow_lite_support.metadata.metadata.MetadataDisplayer, which is
  # verbose and deep. This file provides some shortcuts. It's also compatible
  # with our first version Pip package.
  
  # In pip build, this file will be renamed as tflite_support/__init__.py.
  
  import flatbuffers
  from tensorflow_lite_support.metadata import metadata_schema_py_generated
  from tensorflow_lite_support.metadata import schema_py_generated
  from tensorflow_lite_support.metadata.python import metadata
  from tflite_support import metadata_writers
  from tflite_support import task
  
new_contents: # Copyright 2020 The TensorFlow Authors. 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.
  # ==============================================================================
  """The TFLite Support Library.
  
  Install the pip package:
  
  ```
  pip install tflite-support
  ```
  
  To learn more about metadata, flatbuffers and TensorFlow Lite models, check out
  the [metadata section](https://www.tensorflow.org/lite/convert/metadata) of the
  TF Lite guide.
  """
  
  # In the original project structure, all python targets are accessed by paths
  # like tensorflow_lite_support.metadata.metadata.MetadataDisplayer, which is
  # verbose and deep. This file provides some shortcuts. It's also compatible
  # with our first version Pip package.
  
  # In pip build, this file will be renamed as tflite_support/__init__.py.
  
  import flatbuffers
  import platform
  
  from tensorflow_lite_support.metadata import metadata_schema_py_generated
  from tensorflow_lite_support.metadata import schema_py_generated
  from tensorflow_lite_support.metadata.python import metadata
  from tflite_support import metadata_writers
  
  if platform.system() != 'Windows':
    # Task Library is not supported on Windows yet.
    from tflite_support import task
  
subject: Remove Task Library from Pypi __init__ on Windows.