text: 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 = 1
  _version_minor = 0
  _version_micro = 3  # use '' for first of series, number for 1 and above
  _version_extra = ''
  # _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 = "dmipy: diffusion microstructure imaging in python"
  # Long description will go up on the pypi page
  long_description = """
  to be filled
  """
  
  NAME = "dmipy"
  MAINTAINER = "Rutger Fick"
  MAINTAINER_EMAIL = "fick.rutger@gmail.com"
  DESCRIPTION = description
  LONG_DESCRIPTION = long_description
  URL = "https://github.com/AthenaEPI/dmipy"
  DOWNLOAD_URL = ""
  LICENSE = "MIT"
  AUTHOR = "Rutger Fick"
  AUTHOR_EMAIL = "fick.rutger@gmail.com"
  PLATFORMS = "OS Independent"
  MAJOR = _version_major
  MINOR = _version_minor
  MICRO = _version_micro
  VERSION = __version__
  PACKAGE_DATA = {
      'dmipy': [
          pjoin('data', 'gradient_tables', '*'),
          pjoin('data', 'spheres', '*'),
          pjoin('data', 'bingham_normalization_splinefit.npz'),
          pjoin('data', 'wu_minn_hcp_subjects.txt'),
          pjoin('data', 'wu_minn_hcp_coronal_slice.nii.gz'),
          pjoin('data', 'tanguy_cat_spinal_cord', '*'),
          pjoin('data', 'camino', '*'),
          pjoin('data', 'de_santis_camino', '*'),
          pjoin('data', 'isbi2015_white_matter_challenge', '*')
      ]
  }
  REQUIRES = ["dipy", "scipy", "numpy (>=1.13)"]
  