old_contents: # OSMnx
  # See full license in LICENSE.txt
  
  from setuptools import setup
  
  setup(name='osmnx',
        version='0.2.1',
        description='Retrieve, construct, analyze, and visualize street networks from OpenStreetMap',
        url='https://github.com/gboeing/osmnx',
        author='Geoff Boeing',
        author_email='gboeing@berkeley.edu',
        license='MIT',
        data_files = [('', ['LICENSE.txt'])],
        packages=['osmnx'],
        install_requires=['requests>=2.11',
                          'numpy>=1.11',
                          'pandas>=0.19',
                          'geopandas>=0.2.1',
                          'networkx>=1.11',
                          'matplotlib>=1.5',
                          'Shapely>=1.5',
                          'descartes>=1.0',
                          'geopy>=1.11',
                          'Rtree>=0.8.3'])
  
new_contents: # OSMnx
  # See full license in LICENSE.txt
  
  from setuptools import setup
  
  # provide a long description using reStructuredText
  long_description = """
  **OSMnx** is a package to easily download, construct, project, visualize, and analyze complex street 
  networks from OpenStreetMap in Python with NetworkX. 
  
  You can get a city's or neighborhood's walking, driving, or biking network with a single line of Python 
  code. Then you can easily visualize cul-de-sacs or one-way streets, plot shortest-path routes, or 
  calculate stats like intersection density, average node connectivity, betweenness centrality, etc.
  
  See the examples and demos on `GitHub`_.
  
  |ModenaImageLink|_
  
  .. _GitHub: https://github.com/gboeing/osmnx
  .. _ModenaImageLink: http://geoffboeing.com/2016/11/osmnx-python-street-networks/
  .. |ModenaImageLink| image:: https://i0.wp.com/geoffboeing.com/wp-content/uploads/2016/10/modena-italy-street-network.png?w=400
                       :alt: OSMnx Modena Italy urban city street network with Python matplotlib networkx geopandas
  """
  
  # list of classifiers from the PyPI classifiers trove
  classifiers=['Development Status :: 5 - Production/Stable',
               'License :: OSI Approved :: MIT License',
               'Operating System :: OS Independent',
               'Intended Audience :: Science/Research',
               'Topic :: Scientific/Engineering :: GIS',
               'Topic :: Scientific/Engineering :: Visualization',
               'Topic :: Scientific/Engineering :: Physics',
               'Topic :: Scientific/Engineering :: Information Analysis',
               'Programming Language :: Python',
               'Programming Language :: Python :: 2',
               'Programming Language :: Python :: 3',
               'Programming Language :: Python :: 2.7',
               'Programming Language :: Python :: 3.4',
               'Programming Language :: Python :: 3.5',
               'Programming Language :: Python :: 3.6']
  
  
  # now call setup
  setup(name='osmnx',
        version='0.2.1',
        description='Retrieve, construct, analyze, and visualize street networks from OpenStreetMap',
        long_description=long_description,
        classifiers=classifiers,
        url='https://github.com/gboeing/osmnx',
        author='Geoff Boeing',
        author_email='gboeing@berkeley.edu',
        license='MIT',
        platforms='any',
        data_files = [('', ['LICENSE.txt'])],
        packages=['osmnx'],
        install_requires=['requests>=2.11',
                          'numpy>=1.11',
                          'pandas>=0.19',
                          'geopandas>=0.2.1',
                          'networkx>=1.11',
                          'matplotlib>=1.5',
                          'Shapely>=1.5',
                          'descartes>=1.0',
                          'geopy>=1.11',
                          'Rtree>=0.8.3'])
  
subject: add long description and classifiers