old_contents: # Version info: don't use any relative imports here, because setup.py
  # runs this as a standalone script to extract the following information
  
  from __future__ import absolute_import, division, print_function
  from os.path import join as pjoin
  
  # Format expected by setup.py and doc/source/conf.py: string of form "X.Y.Z"
  _version_major = 0
  _version_minor = 1
  _version_micro = ''  # use '' for first of series, number for 1 and above
  # _version_extra = 'dev'
  _version_extra = ''  # Uncomment this for full releases
  
  # Construct full version string from these.
  _ver = [_version_major, _version_minor]
  if _version_micro:
      _ver.append(_version_micro)
  if _version_extra:
      _ver.append(_version_extra)
  
  __version__ = '.'.join(map(str, _ver))
  
  CLASSIFIERS = ["Development Status :: 3 - Alpha",
                 "Environment :: Console",
                 "Intended Audience :: Science/Research",
                 "License :: OSI Approved :: MIT License",
                 "Operating System :: OS Independent",
                 "Programming Language :: Python",
                 "Topic :: Scientific/Engineering"]
  
  # Description should be a one-liner:
  description = "nfft: pure-python nonuniform fast Fourier transform"
  # Long description will go up on the pypi page
  long_description = """
  
  nfft
  ====
  nfft is a pure-python implementation of the nonuniform fast Fourier transform.
  Its performance is comparable to that of [pynfft](https://pypi.python.org/pypi/pyNFFT),
  but it contains no compiled code and requires no links to external C libraries:
  it depends only on [numpy](http://numpy.org) and [scipy](http://scipy.org).
  
  For more information and links to usage examples, please see the
  repository README_.
  
  .. _README: https://github.com/jakevdp/nfft/blob/master/README.md
  
  License
  =======
  ``nfft`` is licensed under the terms of the MIT license. See the file
  "LICENSE" for information on the history of this software, terms & conditions
  for usage, and a DISCLAIMER OF ALL WARRANTIES.
  """
  
  NAME = "nfft"
  MAINTAINER = "Jake VanderPlas"
  MAINTAINER_EMAIL = "jakevdp@uw.edu"
  DESCRIPTION = description
  LONG_DESCRIPTION = long_description
  URL = "http://github.com/jakevdp/nfft/"
  DOWNLOAD_URL = ""
  LICENSE = "MIT"
  AUTHOR = "Jake VanderPlas"
  AUTHOR_EMAIL = "jakevdp@uw.edu"
  PLATFORMS = "OS Independent"
  MAJOR = _version_major
  MINOR = _version_minor
  MICRO = _version_micro
  VERSION = __version__
  PACKAGE_DATA = {}
  REQUIRES = ["numpy", "scipy", "pytest"]
  
new_contents: # Version info: don't use any relative imports here, because setup.py
  # runs this as a standalone script to extract the following information
  
  from __future__ import absolute_import, division, print_function
  from os.path import join as pjoin
  
  # Format expected by setup.py and doc/source/conf.py: string of form "X.Y.Z"
  _version_major = 0
  _version_minor = 2
  _version_micro = ''  # use '' for first of series, number for 1 and above
  _version_extra = 'dev'
  # _version_extra = ''  # Uncomment this for full releases
  
  # Construct full version string from these.
  _ver = [_version_major, _version_minor]
  if _version_micro:
      _ver.append(_version_micro)
  if _version_extra:
      _ver.append(_version_extra)
  
  __version__ = '.'.join(map(str, _ver))
  
  CLASSIFIERS = ["Development Status :: 3 - Alpha",
                 "Environment :: Console",
                 "Intended Audience :: Science/Research",
                 "License :: OSI Approved :: MIT License",
                 "Operating System :: OS Independent",
                 "Programming Language :: Python",
                 "Topic :: Scientific/Engineering"]
  
  # Description should be a one-liner:
  description = "nfft: pure-python nonuniform fast Fourier transform"
  # Long description will go up on the pypi page
  long_description = """
  
  nfft package
  ============
  nfft is a pure-python implementation of the nonuniform fast Fourier transform.
  Its performance is comparable to that of pynfft_, but it contains no compiled
  code and requires no links to external C libraries, beyond standard
  dependencies on numpy_ and scipy_.
  
  For more information and links to usage examples, please see the
  repository README_.
  
  .. _README: https://github.com/jakevdp/nfft/blob/master/README.md
  
  .. _pynfft: https://pypi.python.org/pypi/pyNFFT
  
  .. _numpy: https://www.numpy.org
  
  .. _scipy: https://www.scipy.org
  
  License
  =======
  ``nfft`` is licensed under the terms of the MIT license. See the file
  "LICENSE" for information on the history of this software, terms & conditions
  for usage, and a DISCLAIMER OF ALL WARRANTIES.
  """
  
  NAME = "nfft"
  MAINTAINER = "Jake VanderPlas"
  MAINTAINER_EMAIL = "jakevdp@uw.edu"
  DESCRIPTION = description
  LONG_DESCRIPTION = long_description
  URL = "http://github.com/jakevdp/nfft/"
  DOWNLOAD_URL = ""
  LICENSE = "MIT"
  AUTHOR = "Jake VanderPlas"
  AUTHOR_EMAIL = "jakevdp@uw.edu"
  PLATFORMS = "OS Independent"
  MAJOR = _version_major
  MINOR = _version_minor
  MICRO = _version_micro
  VERSION = __version__
  PACKAGE_DATA = {}
  REQUIRES = ["numpy", "scipy", "pytest"]
  
subject: bump version to 0.2.dev