old_contents: # Copyright 2020 The PEGASUS Authors..
  #
  # 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.
  
  """Install Pegasus."""
  
  import setuptools
  
  # Get the long description from the README file.
  with open('README.md') as fp:
    _LONG_DESCRIPTION = fp.read()
  
  setuptools.setup(
      name='pegasus',
      version='0.0.1',
      description='Pretraining with Extracted Gap Sentences for Abstractive Summarization with Sequence-to-sequence model',
      long_description=_LONG_DESCRIPTION,
      long_description_content_type='text/markdown',
      author='Google Inc.',
      author_email='no-reply@google.com',
      url='http://github.com/google-research/pegasus',
      license='Apache 2.0',
      packages=setuptools.find_packages(),
      package_data={},
      scripts=[],
      install_requires=[
          'absl-py',
          'mock',
          'numpy',
          'rouge-score',
          'sacrebleu',
          'sentencepiece',
          'tensorflow==1.15'
          'tensorflow-text==1.15.0rc0',
          'tfds-nightly',
          'tensor2tensor==1.15.0',
      ],
      extras_require={
          'tensorflow': ['tensorflow==1.15'],
      },
      classifiers=[
          'Development Status :: 4 - Beta',
          'Intended Audience :: Developers',
          'Intended Audience :: Science/Research',
          'License :: OSI Approved :: Apache Software License',
          'Topic :: Scientific/Engineering :: Artificial Intelligence',
      ],
      keywords='deeplearning machinelearning nlp summarization transformer pretraining',
  )
  
new_contents: # Copyright 2020 The PEGASUS Authors..
  #
  # 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.
  
  """Install Pegasus."""
  
  import setuptools
  
  # Get the long description from the README file.
  with open('README.md') as fp:
    _LONG_DESCRIPTION = fp.read()
  
  setuptools.setup(
      name='pegasus',
      version='0.0.1',
      description='Pretraining with Extracted Gap Sentences for Abstractive Summarization with Sequence-to-sequence model',
      long_description=_LONG_DESCRIPTION,
      long_description_content_type='text/markdown',
      author='Google Inc.',
      author_email='no-reply@google.com',
      url='http://github.com/google-research/pegasus',
      license='Apache 2.0',
      packages=setuptools.find_packages(),
      package_data={},
      scripts=[],
      install_requires=[
          'absl-py',
          'mock',
          'numpy',
          'rouge-score',
          'sacrebleu',
          'sentencepiece',
          'tensorflow-text==1.15.0rc0',
          'tfds-nightly',
          'tensor2tensor==1.15.0',
          'tensorflow-gpu==1.15',
      ],
      extras_require={
          'tensorflow': ['tensorflow-gpu==1.15'],
      },
      classifiers=[
          'Development Status :: 4 - Beta',
          'Intended Audience :: Developers',
          'Intended Audience :: Science/Research',
          'License :: OSI Approved :: Apache Software License',
          'Topic :: Scientific/Engineering :: Artificial Intelligence',
      ],
      keywords='deeplearning machinelearning nlp summarization transformer pretraining',
  )
  
subject: update setup.py