old_contents: #!/usr/bin/env python
  
  
  import os
  from setuptools import setup, find_packages
  
  
  long_description="""dbcollection is a cross-platform (Windows, MacOS, Linux),
  cross-language (Python, Lua/Torch7, Matlab) API to easily manage datasets'
  metadata by using the standard HDF5 file format.
  """
  
  
  with open('LICENSE') as f:
      license_mit = f.read()
  
  with open('requirements.txt') as f:
      requirements = f.read().splitlines()
  
  setup(
      name='dbcollection',
      version='0.1.0',
      author='Miguel Farrajota',
      url='https://github.com/farrajota/dbcollection',
      download_url='https://github.com/farrajota/dbcollection/archive/0.1.0.tar.gz',
      description='Cross-platform, cross-language dataset metadata manager for machine learning',
      long_description=long_description,
      license=license_mit,
      classifiers=[
          'Development Status :: 3 - Alpha',
          'Environment :: MacOS X',
          'Environment :: Win32 (MS Windows)',
          'Environment :: X11 Applications',
          'Intended Audience :: Developers',
          'Topic :: Software Development',
          'License :: OSI Approved :: MIT License',
          'Operating System :: MacOS :: MacOS X',
          'Operating System :: Microsoft :: Windows',
          'Operating System :: POSIX :: Linux',
          'Programming Language :: Python :: 2.7',
          'Programming Language :: Python :: 3',
          'Programming Language :: Python :: 3.4',
          'Programming Language :: Python :: 3.5',
      ],
      packages=find_packages(exclude=['test', 'APIs', '.vscode']),
      install_requires=requirements
  )
new_contents: #!/usr/bin/env python
  
  
  import os
  from setuptools import setup, find_packages
  
  
  long_description="""dbcollection is a cross-platform (Windows, MacOS, Linux),
  cross-language (Python, Lua/Torch7, Matlab) API to easily manage datasets'
  metadata by using the standard HDF5 file format.
  """
  
  
  with open('LICENSE') as f:
      license_mit = f.read()
  
  with open('requirements.txt') as f:
      requirements = f.read().splitlines()
  
  setup(
      name='dbcollection',
      version='0.1.1',
      author='Miguel Farrajota',
      url='https://github.com/farrajota/dbcollection',
      download_url='https://github.com/farrajota/dbcollection/archive/0.1.1.tar.gz',
      description='Cross-platform, cross-language dataset metadata manager for machine learning',
      long_description=long_description,
      license=license_mit,
      classifiers=[
          'Development Status :: 3 - Alpha',
          'Environment :: MacOS X',
          'Environment :: Win32 (MS Windows)',
          'Environment :: X11 Applications',
          'Intended Audience :: Developers',
          'Topic :: Software Development',
          'License :: OSI Approved :: MIT License',
          'Operating System :: MacOS :: MacOS X',
          'Operating System :: Microsoft :: Windows',
          'Operating System :: POSIX :: Linux',
          'Programming Language :: Python :: 2.7',
          'Programming Language :: Python :: 3',
          'Programming Language :: Python :: 3.4',
          'Programming Language :: Python :: 3.5',
      ],
      packages=find_packages(exclude=['test', 'APIs', '.vscode']),
      install_requires=requirements
  )
subject: Bump package version