old_contents: #!/usr/bin/env python
  # -*- coding: utf-8 -*-
  #
  # Copyright (c) 2013 Spotify AB
  #
  # 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.
  
  from setuptools import setup, Extension
  import codecs
  import os
  import sys
  
  readme_note = """\
  .. note::
  
     For the latest source, discussion, etc, please visit the
     `GitHub repository <https://github.com/spotify/annoy>`_\n\n
  
  .. image:: https://img.shields.io/github/stars/spotify/annoy.svg
      :target: https://github.com/spotify/annoy
  
  """
  
  with codecs.open('README.rst', encoding='utf-8') as fobj:
      long_description = readme_note + fobj.read()
  
  
  setup(name='annoy',
        version='1.6.0',
        description='Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.',
        packages=['annoy'],
        ext_modules=[
          Extension(
              'annoy.annoylib', ['src/annoymodule.cc'],
              depends=['src/annoylib.h'],
              extra_compile_args=['-O3', '-march=native', '-ffast-math'],
          )
        ],
        long_description=long_description,
        author='Erik Bernhardsson',
        author_email='mail@erikbern.com',
        url='https://github.com/spotify/annoy',
        license='Apache License 2.0',
        classifiers=[
            'Development Status :: 5 - Production/Stable',
            'Programming Language :: Python',
            'Programming Language :: Python :: 2.6',
            'Programming Language :: Python :: 2.7',
            'Programming Language :: Python :: 3.3',
            'Programming Language :: Python :: 3.4',
        ],
        keywords='nns, approximate nearest neighbor search',
        setup_requires=['nose>=1.0']
      )
  
new_contents: #!/usr/bin/env python
  # -*- coding: utf-8 -*-
  #
  # Copyright (c) 2013 Spotify AB
  #
  # 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.
  
  from setuptools import setup, Extension
  import codecs
  import os
  import sys
  
  readme_note = """\
  .. note::
  
     For the latest source, discussion, etc, please visit the
     `GitHub repository <https://github.com/spotify/annoy>`_\n\n
  
  .. image:: https://img.shields.io/github/stars/spotify/annoy.svg
      :target: https://github.com/spotify/annoy
  
  """
  
  with codecs.open('README.rst', encoding='utf-8') as fobj:
      long_description = readme_note + fobj.read()
  
  
  setup(name='annoy',
        version='1.6.1',
        description='Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.',
        packages=['annoy'],
        ext_modules=[
          Extension(
              'annoy.annoylib', ['src/annoymodule.cc'],
              depends=['src/annoylib.h', 'src/kissrandom.h'],
              extra_compile_args=['-O3', '-march=native', '-ffast-math'],
          )
        ],
        long_description=long_description,
        author='Erik Bernhardsson',
        author_email='mail@erikbern.com',
        url='https://github.com/spotify/annoy',
        license='Apache License 2.0',
        classifiers=[
            'Development Status :: 5 - Production/Stable',
            'Programming Language :: Python',
            'Programming Language :: Python :: 2.6',
            'Programming Language :: Python :: 2.7',
            'Programming Language :: Python :: 3.3',
            'Programming Language :: Python :: 3.4',
        ],
        keywords='nns, approximate nearest neighbor search',
        setup_requires=['nose>=1.0']
      )
  
subject: Bump to 1.6.1 due to missing randomness module