old_contents: #
  # Copyright 2017 Google Inc.
  #
  # 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.
  
  import setuptools
  
  
  def readme():
    return '`pstar` documentation and source code can be found at https://github.com/iansf/pstar.'
  
  
  def version():
    return '0.1.8'
  
  
  setuptools.setup(
      name='pstar',
      description='pstar: numpy for arbitrary data',
      long_description=readme(),
      long_description_content_type='text/markdown',
      version=version(),
      url='https://github.com/iansf/pstar',
      download_url='https://github.com/iansf/pstar/archive/%s.tar.gz' % version(),
      author='Ian Fischer, Google',
      author_email='iansf@google.com',
      packages=['pstar'],
      license='Apache 2.0',
      install_requires=['qj'],
      test_suite='nose.collector',
      tests_require=['matplotlib', 'mock', 'nose'],
  )
  
new_contents: #
  # Copyright 2017 Google Inc.
  #
  # 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.
  
  import setuptools
  
  
  def readme():
    return '`pstar` documentation and source code can be found at https://github.com/iansf/pstar.'
  
  
  def version():
    return '0.1.9'
  
  
  setuptools.setup(
      name='pstar',
      description='pstar: numpy for arbitrary data',
      long_description=readme(),
      long_description_content_type='text/markdown',
      version=version(),
      url='https://github.com/iansf/pstar',
      download_url='https://github.com/iansf/pstar/archive/%s.tar.gz' % version(),
      author='Ian Fischer, Google',
      author_email='iansf@google.com',
      packages=['pstar'],
      license='Apache 2.0',
      install_requires=['qj'],
      test_suite='nose.collector',
      tests_require=['matplotlib', 'mock', 'nose'],
  )
  
subject: Update version to 0.1.9. All tests pass on 2.7 and 3.6.