old_contents: """
  The Personas project
  """
  
  # Always prefer setuptools over distutils
  from setuptools import setup, find_packages
  # To use a consistent encoding
  from codecs import open
  from os import path
  import pip
  from pip.req import parse_requirements
  
  
  here = path.abspath(path.dirname(__file__))
  
  install_reqs = parse_requirements('requirements.txt', session=pip.download.PipSession())
  reqs = [str(ir.req) for ir in install_reqs]
  setup(
      name='sandworks',
      version='0.1.0',
      description='Sand art',
      url='https://github.com/caged/sandworks',
      author='Justin Palmer',
      author_email='justin@labratrevenge.com',
      license='MIT',
  
      # See https://pypi.python.org/pypi?%3Aaction=list_classifiers
      classifiers=[
          # Pick your license as you wish (should match "license" above)
          'Programming Language :: Python :: 3.5',
          'Programming Language :: Python :: 3.6',
          'License :: OSI Approved :: MIT License'
      ],
  
      # What does your project relate to?
      keywords='sand art datavisualization visualization',
  
      # You can just specify the packages manually here if your project is
      # simple. Or you can use find_packages().
      packages=['sandworks'],
      scripts=["scripts/sandworks"],
  
      # List run-time dependencies here.  These will be installed by pip when
      # your project is installed. For an analysis of "install_requires" vs pip's
      # requirements files see:
      # https://packaging.python.org/en/latest/requirements.html
      install_requires=reqs,
  
      # dependency_links=[
      #     ''
      # ],
  
      # List additional groups of dependencies here (e.g. development
      # dependencies). You can install these using the following syntax,
      # for example:
      # $ pip install -e .[dev,test]
      extras_require={
          'test': ['pytest==3.1.2'],
      },
  
      # If there are data files included in your packages that need to be
      # installed, specify them here.  If using Python 2.6 or less, then these
      # have to be included in MANIFEST.in as well.
      # package_data={
      #     'sample': ['package_data.dat'],
      # },
  
      # Although 'package_data' is the preferred approach, in some case you may
      # need to place data files outside of your packages. See:
      # http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files # noqa
      # In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
      # data_files=[('my_data', ['data/data_file'])],
  
      # To provide executable scripts, use entry points in preference to the
      # "scripts" keyword. Entry points provide cross-platform support and allow
      # pip to create the appropriate form of executable for the target platform.
      # entry_points={
      #     'console_scripts': [
      #         'nba-stats=json2csv',
      #     ],
      # },
  )
  
new_contents: """
  The Personas project
  """
  
  # Always prefer setuptools over distutils
  from setuptools import setup, find_packages
  # To use a consistent encoding
  from codecs import open
  from os import path
  import pip
  from pip.req import parse_requirements
  
  
  here = path.abspath(path.dirname(__file__))
  
  install_reqs = parse_requirements('requirements.txt', session=pip.download.PipSession())
  reqs = [str(ir.req) for ir in install_reqs]
  setup(
      name='sandworks',
      version='0.2.0',
      description='Sand art',
      url='https://github.com/caged/sandworks',
      author='Justin Palmer',
      author_email='justin@labratrevenge.com',
      license='MIT',
  
      # See https://pypi.python.org/pypi?%3Aaction=list_classifiers
      classifiers=[
          # Pick your license as you wish (should match "license" above)
          'Programming Language :: Python :: 3.5',
          'Programming Language :: Python :: 3.6',
          'License :: OSI Approved :: MIT License'
      ],
  
      # What does your project relate to?
      keywords='sand art datavisualization visualization',
  
      # You can just specify the packages manually here if your project is
      # simple. Or you can use find_packages().
      packages=['sandworks'],
      scripts=["scripts/sandworks"],
  
      # List run-time dependencies here.  These will be installed by pip when
      # your project is installed. For an analysis of "install_requires" vs pip's
      # requirements files see:
      # https://packaging.python.org/en/latest/requirements.html
      install_requires=reqs,
  
      # dependency_links=[
      #     ''
      # ],
  
      # List additional groups of dependencies here (e.g. development
      # dependencies). You can install these using the following syntax,
      # for example:
      # $ pip install -e .[dev,test]
      extras_require={
          'test': ['pytest==3.1.2'],
      },
  
      # If there are data files included in your packages that need to be
      # installed, specify them here.  If using Python 2.6 or less, then these
      # have to be included in MANIFEST.in as well.
      # package_data={
      #     'sample': ['package_data.dat'],
      # },
  
      # Although 'package_data' is the preferred approach, in some case you may
      # need to place data files outside of your packages. See:
      # http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files # noqa
      # In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
      # data_files=[('my_data', ['data/data_file'])],
  
      # To provide executable scripts, use entry points in preference to the
      # "scripts" keyword. Entry points provide cross-platform support and allow
      # pip to create the appropriate form of executable for the target platform.
      # entry_points={
      #     'console_scripts': [
      #         'nba-stats=json2csv',
      #     ],
      # },
  )
  
subject: bump to 0.2.0