old_contents: # Format expected by setup.py and doc/source/conf.py: string of form "X.Y.Z"
  _version_major = 0
  _version_minor = 6
  _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 = "forestci: confidence intervals for scikit-learn "
  description += "forest algorithms"
  # Long description will go up on the pypi page
  long_description = """
  
  sklearn forest ci
  =================
  
  `forest-confidence-interval` is a Python module for calculating variance and
  adding confidence intervals to scikit-learn random forest regression or
  classification objects. The core functions calculate an in-bag and error bars
  for random forest objects
  
  Please read the repository README_ on Github or our documentation_
  
  .. _README: https://github.com/scikit-learn-contrib/forest-confidence-interval/blob/master/README.md
  
  .. _documentation: http://contrib.scikit-learn.org/forest-confidence-interval/
  
  """
  
  NAME = "forestci"
  MAINTAINER = "Ariel Rokem"
  MAINTAINER_EMAIL = "arokem@uw.edu"
  DESCRIPTION = description
  LONG_DESCRIPTION = long_description
  URL = "http://github.com/scikit-learn-contrib/forest-confidence-interval"
  DOWNLOAD_URL = ""
  LICENSE = "MIT"
  AUTHOR = "Ariel Rokem, Bryna Hazelton, Kivan Polimis"
  AUTHOR_EMAIL = "arokem@uw.edu"
  PLATFORMS = "OS Independent"
  MAJOR = _version_major
  MINOR = _version_minor
  MICRO = _version_micro
  VERSION = __version__
  
new_contents: # Format expected by setup.py and doc/source/conf.py: string of form "X.Y.Z"
  _version_major = 0
  _version_minor = 6
  _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 = "forestci: confidence intervals for scikit-learn "
  description += "forest algorithms"
  # Long description will go up on the pypi page
  long_description = """
  
  sklearn forest ci
  =================
  
  `forest-confidence-interval` is a Python module for calculating variance and
  adding confidence intervals to scikit-learn random forest regression or
  classification objects. The core functions calculate an in-bag and error bars
  for random forest objects
  
  Please read the repository README_ on Github or our documentation_
  
  .. _README: https://github.com/scikit-learn-contrib/forest-confidence-interval/blob/master/README.md
  
  .. _documentation: http://contrib.scikit-learn.org/forest-confidence-interval/
  
  """
  
  NAME = "forestci"
  MAINTAINER = "Ariel Rokem"
  MAINTAINER_EMAIL = "arokem@uw.edu"
  DESCRIPTION = description
  LONG_DESCRIPTION = long_description
  URL = "http://github.com/scikit-learn-contrib/forest-confidence-interval"
  DOWNLOAD_URL = ""
  LICENSE = "MIT"
  AUTHOR = "Ariel Rokem, Bryna Hazelton, Kivan Polimis"
  AUTHOR_EMAIL = "arokem@uw.edu"
  PLATFORMS = "OS Independent"
  MAJOR = _version_major
  MINOR = _version_minor
  MICRO = _version_micro
  VERSION = __version__
  
subject: Change version string for the release.