setup.py

#!/usr/bin/env python
import os
import re
import sys
import warnings

from setuptools import setup, find_packages
from setuptools import Command

MAJOR = 0
MINOR = 10
MICRO = 0
ISRELEASED = False
VERSION = '%d.%d.%d' % (MAJOR, MINOR, MICRO)
QUALIFIER = ''


DISTNAME = 'xarray'
LICENSE = 'Apache'
AUTHOR = 'xarray Developers'
AUTHOR_EMAIL = 'xarray@googlegroups.com'
URL = 'https://github.com/pydata/xarray'
CLASSIFIERS = [
 'Development Status :: 4 - Beta',
 'License :: OSI Approved :: Apache Software License',
 'Operating System :: OS Independent',
 'Intended Audience :: Science/Research',
 'Programming Language :: Python',
 'Programming Language :: Python :: 2',
 'Programming Language :: Python :: 2.7',
 'Programming Language :: Python :: 3',
 'Programming Language :: Python :: 3.4',
 'Programming Language :: Python :: 3.5',
 'Programming Language :: Python :: 3.6',
 'Topic :: Scientific/Engineering',
]

INSTALL_REQUIRES = ['numpy >= 1.11', 'pandas >= 0.18.0']
TESTS_REQUIRE = ['pytest >= 2.7.1']
if sys.version_info[0] < 3:
 TESTS_REQUIRE.append('mock')

DESCRIPTION = "N-D labeled arrays and datasets in Python"
LONG_DESCRIPTION = """
**xarray** (formerly **xray**) is an open source project and Python package
that aims to bring the labeled data power of pandas_ to the physical sciences,
by providing N-dimensional variants of the core pandas data structures.

Our goal is to provide a pandas-like and pandas-compatible toolkit for
analytics on multi-dimensional arrays, rather than the tabular data for which
pandas excels. Our approach adopts the `Common Data Model`_ for self-
describing scientific data in widespread use in the Earth sciences:
``xarray.Dataset`` is an in-memory representation of a netCDF file.

.. _pandas: http://pandas.pydata.org
.. _Common Data Model: http://www.unidata.ucar.edu/software/thredds/current/netcdf-java/CDM
.. _netCDF: http://www.unidata.ucar.edu/software/netcdf
.. _OPeNDAP: http://www.opendap.org/

Important links
---------------

- HTML documentation: http://xarray.pydata.org
- Issue tracker: http://github.com/pydata/xarray/issues
- Source code: http://github.com/pydata/xarray
- SciPy2015 talk: https://www.youtube.com/watch?v=X0pAhJgySxk
"""

# Code to extract and write the version copied from pandas.
# Used under the terms of pandas's license, see licenses/PANDAS_LICENSE.
FULLVERSION = VERSION
write_version = True

if not ISRELEASED:
 import subprocess
 FULLVERSION += '.dev'

 pipe = None
 for cmd in ['git', 'git.cmd']:
 try:
 pipe = subprocess.Popen(
 [cmd, "describe", "--always", "--match", "v[0-9]*"],
 stdout=subprocess.PIPE)
 (so, serr) = pipe.communicate()
 if pipe.returncode == 0:
 break
 except:
 pass

 if pipe is None or pipe.returncode != 0:
 # no git, or not in git dir
 if os.path.exists('xarray/version.py'):
 warnings.warn("WARNING: Couldn't get git revision, using existing xarray/version.py")
 write_version = False
 else:
 warnings.warn("WARNING: Couldn't get git revision, using generic version string")
 else:
 # have git, in git dir, but may have used a shallow clone (travis does this)
 rev = so.strip()
 # makes distutils blow up on Python 2.7
 if sys.version_info[0] >= 3:
 rev = rev.decode('ascii')

 if not rev.startswith('v') and re.match("[a-zA-Z0-9]{7,9}", rev):
 # partial clone, manually construct version string
 # this is the format before we started using git-describe
 # to get an ordering on dev version strings.
 rev = "v%s+dev.%s" % (VERSION, rev)

 # Strip leading v from tags format "vx.y.z" to get th version string
 FULLVERSION = rev.lstrip('v')

 # make sure we respect PEP 440
 FULLVERSION = FULLVERSION.replace("-", "+dev", 1).replace("-", ".")

else:
 FULLVERSION += QUALIFIER


def write_version_py(filename=None):
 cnt = """\
version = '%s'
short_version = '%s'
"""
 if not filename:
 filename = os.path.join(
 os.path.dirname(__file__), 'xarray', 'version.py')

 a = open(filename, 'w')
 try:
 a.write(cnt % (FULLVERSION, VERSION))
 finally:
 a.close()

if write_version:
 write_version_py()

setup(name=DISTNAME,
 version=FULLVERSION,
 license=LICENSE,
 author=AUTHOR,
 author_email=AUTHOR_EMAIL,
 classifiers=CLASSIFIERS,
 description=DESCRIPTION,
 long_description=LONG_DESCRIPTION,
 install_requires=INSTALL_REQUIRES,
 tests_require=TESTS_REQUIRE,
 url=URL,
 packages=find_packages(),
 package_data={'xarray': ['tests/data/*', 'plot/default_colormap.csv']})