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"""Numpy: array processing for numbers, strings, records, and objects.
Numpy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays. Numpy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type.
There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation.
"""
DOCLINES = __doc__.split("\n")
import os
import sys
CLASSIFIERS = """\
Development Status :: 4 - Beta
Intended Audience :: Science/Research
Intended Audience :: Developers
License :: OSI Approved
Programming Language :: C
Programming Language :: Python
Topic :: Software Development
Topic :: Scientific/Engineering
Operating System :: Microsoft :: Windows
Operating System :: POSIX
Operating System :: Unix
Operating System :: MacOS
"""
def setup_package():
from numpy.distutils.core import setup
from numpy.distutils.misc_util import Configuration
old_path = os.getcwd()
local_path = os.path.dirname(os.path.abspath(sys.argv[0]))
os.chdir(local_path)
sys.path.insert(0,local_path)
try:
config = Configuration(
maintainer = "SciPy Developers",
maintainer_email = "scipy-dev@scipy.org",
description = DOCLINES[0],
long_description = "\n".join(DOCLINES[2:]),
url = "http://numeric.scipy.org",
download_url = "http://sourceforge.net/projects/numpy",
license = 'BSD',
classifiers=filter(None, CLASSIFIERS.split('\n')),
author = "Travis E. Oliphant, et.al.",
author_email = "oliphant@ee.byu.edu",
platforms = ["Windows", "Linux", "Solaris", "Mac OS-X", "Unix"]
)
config.add_subpackage('numpy')
from numpy.version import version
config.name = 'numpy'
config.dict_append(version=version)
print config.name,'version',config.version
setup( **config.todict() )
finally:
del sys.path[0]
os.chdir(old_path)
return
if __name__ == '__main__':
setup_package()
|
