old_contents: # Copyright 2018 The AdaNet 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.
  # ==============================================================================
  """Setup for pip package."""
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  from setuptools import find_packages
  from setuptools import setup
  
  # Can't import the module during setup.py.
  # Use execfile to find __version__.
  with open('adanet/version.py') as in_file:
    exec(in_file.read())
  
  REQUIRED_PACKAGES = [
      'numpy >= 1.12.0',
      'six >= 1.10.0',
      'protobuf >= 3.4.0',
  ]
  
  setup(
      name='adanet',  # Automatic: adanet, etc. Case insensitive.
      version=__version__.replace('-', ''),
      description=(
          'adanet is a lightweight and scalable TensorFlow AutoML framework for '
          'training and deploying adaptive neural networks using the AdaNet '
          'algorithm [Cortes et al. ICML 2017](https://arxiv.org/abs/1607.01097).'
      ),
      long_description='',
      url='https://github.com/tensorflow/adanet',
      author='Google LLC',
      author_email='opensource@google.com',
      install_requires=REQUIRED_PACKAGES,
      packages=find_packages(),
      # PyPI package information.
      classifiers=[
          'Development Status :: 4 - Beta',
          'Intended Audience :: Developers',
          'Intended Audience :: Education',
          'Intended Audience :: Science/Research',
          'License :: OSI Approved :: Apache Software License',
          'Programming Language :: Python :: 2',
          'Programming Language :: Python :: 2.7',
          'Programming Language :: Python :: 3',
          'Programming Language :: Python :: 3.4',
          'Programming Language :: Python :: 3.5',
          'Programming Language :: Python :: 3.6',
          'Topic :: Scientific/Engineering',
          'Topic :: Scientific/Engineering :: Mathematics',
          'Topic :: Scientific/Engineering :: Artificial Intelligence',
          'Topic :: Software Development',
          'Topic :: Software Development :: Libraries',
          'Topic :: Software Development :: Libraries :: Python Modules',
      ],
      license='Apache 2.0',
      keywords=('tensorflow machine learning automl module subgraph framework '
                'ensemble neural network adaptive metalearning'),
  )
  
new_contents: # Copyright 2018 The AdaNet 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.
  # ==============================================================================
  """Setup for pip package."""
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  from setuptools import find_packages
  from setuptools import setup
  
  # Can't import the module during setup.py.
  # Use execfile to find __version__.
  with open('adanet/version.py') as in_file:
    exec(in_file.read())
  
  REQUIRED_PACKAGES = [
      'numpy >= 1.12.0',
      'six >= 1.10.0',
      'protobuf >= 3.6.0',
  ]
  
  setup(
      name='adanet',  # Automatic: adanet, etc. Case insensitive.
      version=__version__.replace('-', ''),
      description=(
          'adanet is a lightweight and scalable TensorFlow AutoML framework for '
          'training and deploying adaptive neural networks using the AdaNet '
          'algorithm [Cortes et al. ICML 2017](https://arxiv.org/abs/1607.01097).'
      ),
      long_description='',
      url='https://github.com/tensorflow/adanet',
      author='Google LLC',
      author_email='opensource@google.com',
      install_requires=REQUIRED_PACKAGES,
      packages=find_packages(),
      # PyPI package information.
      classifiers=[
          'Development Status :: 4 - Beta',
          'Intended Audience :: Developers',
          'Intended Audience :: Education',
          'Intended Audience :: Science/Research',
          'License :: OSI Approved :: Apache Software License',
          'Programming Language :: Python :: 2',
          'Programming Language :: Python :: 2.7',
          'Programming Language :: Python :: 3',
          'Programming Language :: Python :: 3.4',
          'Programming Language :: Python :: 3.5',
          'Programming Language :: Python :: 3.6',
          'Topic :: Scientific/Engineering',
          'Topic :: Scientific/Engineering :: Mathematics',
          'Topic :: Scientific/Engineering :: Artificial Intelligence',
          'Topic :: Software Development',
          'Topic :: Software Development :: Libraries',
          'Topic :: Software Development :: Libraries :: Python Modules',
      ],
      license='Apache 2.0',
      keywords=('tensorflow machine learning automl module subgraph framework '
                'ensemble neural network adaptive metalearning'),
  )
  
subject: Set minimum protobuf version to 3.6.0. Closes #10.