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setup.py
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setup.py
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#!/usr/bin/env python
"""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 which also makes NumPy suitable for
interfacing with general-purpose data-base applications.
There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation.
"""
from __future__ import division
DOCLINES = __doc__.split("\n")
import os
import shutil
import sys
import re
import subprocess
if sys.version_info[0] < 3:
import __builtin__ as builtins
else:
import builtins
CLASSIFIERS = """\
Development Status :: 5 - Production/Stable
Intended Audience :: Science/Research
Intended Audience :: Developers
License :: OSI Approved
Programming Language :: C
Programming Language :: Python
Programming Language :: Python :: 3
Topic :: Software Development
Topic :: Scientific/Engineering
Operating System :: Microsoft :: Windows
Operating System :: POSIX
Operating System :: Unix
Operating System :: MacOS
"""
NAME = 'numpy'
MAINTAINER = "NumPy Developers"
MAINTAINER_EMAIL = "[email protected]"
DESCRIPTION = DOCLINES[0]
LONG_DESCRIPTION = "\n".join(DOCLINES[2:])
URL = "http://www.numpy.org"
DOWNLOAD_URL = "http://sourceforge.net/projects/numpy/files/NumPy/"
LICENSE = 'BSD'
CLASSIFIERS = [_f for _f in CLASSIFIERS.split('\n') if _f]
AUTHOR = "Travis E. Oliphant et al."
AUTHOR_EMAIL = "[email protected]"
PLATFORMS = ["Windows", "Linux", "Solaris", "Mac OS-X", "Unix"]
MAJOR = 1
MINOR = 8
MICRO = 0
ISRELEASED = False
VERSION = '%d.%d.%d' % (MAJOR, MINOR, MICRO)
# Return the git revision as a string
def git_version():
def _minimal_ext_cmd(cmd):
# construct minimal environment
env = {}
for k in ['SYSTEMROOT', 'PATH']:
v = os.environ.get(k)
if v is not None:
env[k] = v
# LANGUAGE is used on win32
env['LANGUAGE'] = 'C'
env['LANG'] = 'C'
env['LC_ALL'] = 'C'
out = subprocess.Popen(cmd, stdout = subprocess.PIPE, env=env).communicate()[0]
return out
try:
out = _minimal_ext_cmd(['git', 'rev-parse', 'HEAD'])
GIT_REVISION = out.strip().decode('ascii')
except OSError:
GIT_REVISION = "Unknown"
return GIT_REVISION
# BEFORE importing distutils, remove MANIFEST. distutils doesn't properly
# update it when the contents of directories change.
if os.path.exists('MANIFEST'): os.remove('MANIFEST')
# This is a bit hackish: we are setting a global variable so that the main
# numpy __init__ can detect if it is being loaded by the setup routine, to
# avoid attempting to load components that aren't built yet. While ugly, it's
# a lot more robust than what was previously being used.
builtins.__NUMPY_SETUP__ = True
def write_version_py(filename='numpy/version.py'):
cnt = """
# THIS FILE IS GENERATED FROM NUMPY SETUP.PY
short_version = '%(version)s'
version = '%(version)s'
full_version = '%(full_version)s'
git_revision = '%(git_revision)s'
release = %(isrelease)s
if not release:
version = full_version
"""
# Adding the git rev number needs to be done inside write_version_py(),
# otherwise the import of numpy.version messes up the build under Python 3.
FULLVERSION = VERSION
if os.path.exists('.git'):
GIT_REVISION = git_version()
elif os.path.exists('numpy/version.py'):
# must be a source distribution, use existing version file
try:
from numpy.version import git_revision as GIT_REVISION
except ImportError:
raise ImportError("Unable to import git_revision. Try removing " \
"numpy/version.py and the build directory " \
"before building.")
else:
GIT_REVISION = "Unknown"
if not ISRELEASED:
FULLVERSION += '.dev-' + GIT_REVISION[:7]
a = open(filename, 'w')
try:
a.write(cnt % {'version': VERSION,
'full_version' : FULLVERSION,
'git_revision' : GIT_REVISION,
'isrelease': str(ISRELEASED)})
finally:
a.close()
def configuration(parent_package='',top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration(None, parent_package, top_path)
config.set_options(ignore_setup_xxx_py=True,
assume_default_configuration=True,
delegate_options_to_subpackages=True,
quiet=True)
config.add_subpackage('numpy')
config.get_version('numpy/version.py') # sets config.version
return config
def setup_package():
# Perform 2to3 if needed
local_path = os.path.dirname(os.path.abspath(sys.argv[0]))
src_path = local_path
if sys.version_info[0] == 3:
src_path = os.path.join(local_path, 'build', 'py3k')
sys.path.insert(0, os.path.join(local_path, 'tools'))
import py3tool
print("Converting to Python3 via 2to3...")
py3tool.sync_2to3('numpy', os.path.join(src_path, 'numpy'))
site_cfg = os.path.join(local_path, 'site.cfg')
if os.path.isfile(site_cfg):
shutil.copy(site_cfg, src_path)
# Ugly hack to make pip work with Python 3, see #1857.
# Explanation: pip messes with __file__ which interacts badly with the
# change in directory due to the 2to3 conversion. Therefore we restore
# __file__ to what it would have been otherwise.
global __file__
__file__ = os.path.join(os.curdir, os.path.basename(__file__))
if '--egg-base' in sys.argv:
# Change pip-egg-info entry to absolute path, so pip can find it
# after changing directory.
idx = sys.argv.index('--egg-base')
if sys.argv[idx + 1] == 'pip-egg-info':
sys.argv[idx + 1] = os.path.join(local_path, 'pip-egg-info')
old_path = os.getcwd()
os.chdir(src_path)
sys.path.insert(0, src_path)
# Rewrite the version file everytime
write_version_py()
# Run build
from numpy.distutils.core import setup
try:
setup(
name=NAME,
maintainer=MAINTAINER,
maintainer_email=MAINTAINER_EMAIL,
description=DESCRIPTION,
long_description=LONG_DESCRIPTION,
url=URL,
download_url=DOWNLOAD_URL,
license=LICENSE,
classifiers=CLASSIFIERS,
author=AUTHOR,
author_email=AUTHOR_EMAIL,
platforms=PLATFORMS,
configuration=configuration )
finally:
del sys.path[0]
os.chdir(old_path)
return
if __name__ == '__main__':
setup_package()