old_contents: from setuptools import find_packages
  from setuptools import setup
  
  with open('README.md') as f:
    readme = f.read()
  
  with open('LICENSE') as f:
    lic = f.read()
  
  setup(
      name='tangent',
      version='0.1.8',
      description=('Automatic differentiation using source code transformation '
                   'for Python'),
      long_description=readme,
      author='Google Inc.',
      author_email='alexbw@google.com',
      url='https://github.com/google/tangent',
      license=lic,
      packages=find_packages(exclude=('tests')),
      package_data={'':['README.md','LICENSE']},
      keywords=[
          'autodiff', 'automatic-differentiation', 'machine-learning',
          'deep-learning'
      ],
      install_requires=[
          'astor>=0.6',
          'autograd>=1.2',
          'enum34',
          'future',
          'gast',
          'nose',
          'numpy',
          'six',
          'tf-nightly>=1.5.0.dev20171026',
      ])
  
new_contents: from setuptools import find_packages
  from setuptools import setup
  
  with open('README.md') as f:
    readme = f.read()
  
  with open('LICENSE') as f:
    lic = f.read()
  
  setup(
      name='tangent',
      version='0.1.9',
      description=('Automatic differentiation using source code transformation '
                   'for Python'),
      long_description=readme,
      author='Google Inc.',
      author_email='alexbw@google.com',
      url='https://github.com/google/tangent',
      license=lic,
      packages=find_packages(exclude=('tests')),
      package_data={'':['README.md','LICENSE']},
      keywords=[
          'autodiff', 'automatic-differentiation', 'machine-learning',
          'deep-learning'
      ],
      install_requires=[
          'astor>=0.6',
          'autograd>=1.2',
          'enum34',
          'future',
          'gast',
          'nose',
          'numpy',
          'six',
          'tf-nightly>=1.5.0.dev20171026',
      ])
  
subject: Bump version to 0.1.9