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setup.py
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setup.py
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#!/usr/bin/env python
"""SciPy: Scientific Library for Python
SciPy (pronounced "Sigh Pie") is open-source software for mathematics,
science, and engineering. The SciPy library
depends on NumPy, which provides convenient and fast N-dimensional
array manipulation. The SciPy library is built to work with NumPy
arrays, and provides many user-friendly and efficient numerical
routines such as routines for numerical integration and optimization.
Together, they run on all popular operating systems, are quick to
install, and are free of charge. NumPy and SciPy are easy to use,
but powerful enough to be depended upon by some of the world's
leading scientists and engineers. If you need to manipulate
numbers on a computer and display or publish the results,
give SciPy a try!
"""
DOCLINES = __doc__.split("\n")
import os
import sys
import subprocess
if sys.version_info[:2] < (2, 6) or (3, 0) <= sys.version_info[0:2] < (3, 2):
raise RuntimeError("Python version 2.6, 2.7 or >= 3.2 required.")
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 :: BSD License
Programming Language :: C
Programming Language :: Python
Programming Language :: Python :: 2
Programming Language :: Python :: 2.6
Programming Language :: Python :: 2.7
Programming Language :: Python :: 3
Programming Language :: Python :: 3.2
Programming Language :: Python :: 3.3
Programming Language :: Python :: 3.4
Programming Language :: Python :: 3.5
Topic :: Software Development
Topic :: Scientific/Engineering
Operating System :: Microsoft :: Windows
Operating System :: POSIX
Operating System :: Unix
Operating System :: MacOS
"""
MAJOR = 0
MINOR = 17
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
# scipy __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.__SCIPY_SETUP__ = True
def get_version_info():
# Adding the git rev number needs to be done inside
# write_version_py(), otherwise the import of scipy.version messes
# up the build under Python 3.
FULLVERSION = VERSION
if os.path.exists('.git'):
GIT_REVISION = git_version()
elif os.path.exists('scipy/version.py'):
# must be a source distribution, use existing version file
# load it as a separate module to not load scipy/__init__.py
import imp
version = imp.load_source('scipy.version', 'scipy/version.py')
GIT_REVISION = version.git_revision
else:
GIT_REVISION = "Unknown"
if not ISRELEASED:
FULLVERSION += '.dev0+' + GIT_REVISION[:7]
return FULLVERSION, GIT_REVISION
def write_version_py(filename='scipy/version.py'):
cnt = """
# THIS FILE IS GENERATED FROM SCIPY 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
"""
FULLVERSION, GIT_REVISION = get_version_info()
a = open(filename, 'w')
try:
a.write(cnt % {'version': VERSION,
'full_version': FULLVERSION,
'git_revision': GIT_REVISION,
'isrelease': str(ISRELEASED)})
finally:
a.close()
try:
from sphinx.setup_command import BuildDoc
HAVE_SPHINX = True
except:
HAVE_SPHINX = False
if HAVE_SPHINX:
class ScipyBuildDoc(BuildDoc):
"""Run in-place build before Sphinx doc build"""
def run(self):
ret = subprocess.call([sys.executable, sys.argv[0], 'build_ext', '-i'])
if ret != 0:
raise RuntimeError("Building Scipy failed!")
BuildDoc.run(self)
def generate_cython():
cwd = os.path.abspath(os.path.dirname(__file__))
print("Cythonizing sources")
p = subprocess.call([sys.executable,
os.path.join(cwd, 'tools', 'cythonize.py'),
'scipy'],
cwd=cwd)
if p != 0:
raise RuntimeError("Running cythonize failed!")
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('scipy')
config.add_data_files(('scipy', '*.txt'))
config.get_version('scipy/version.py')
return config
def setup_package():
# Rewrite the version file every time
write_version_py()
if HAVE_SPHINX:
cmdclass = {'build_sphinx': ScipyBuildDoc}
else:
cmdclass = {}
# Figure out whether to add ``*_requires = ['numpy']``.
# We don't want to do that unconditionally, because we risk updating
# an installed numpy which fails too often. Just if it's not installed, we
# may give it a try. See gh-3379.
build_requires = []
try:
import numpy
if (len(sys.argv) >= 2 and sys.argv[1] == 'bdist_wheel' and
sys.platform == 'darwin'):
# We're ony building wheels for platforms where we know there's
# also a Numpy wheel, so do this unconditionally. See gh-5184.
build_requires = ['numpy>=1.6.2']
except:
build_requires = ['numpy>=1.6.2']
metadata = dict(
name='scipy',
maintainer="SciPy Developers",
maintainer_email="[email protected]",
description=DOCLINES[0],
long_description="\n".join(DOCLINES[2:]),
url="http://www.scipy.org",
download_url="https://github.com/scipy/scipy/releases",
license='BSD',
cmdclass=cmdclass,
classifiers=[_f for _f in CLASSIFIERS.split('\n') if _f],
platforms=["Windows", "Linux", "Solaris", "Mac OS-X", "Unix"],
test_suite='nose.collector',
setup_requires=build_requires,
install_requires=build_requires,
)
if len(sys.argv) >= 2 and ('--help' in sys.argv[1:] or
sys.argv[1] in ('--help-commands', 'egg_info', '--version',
'clean')):
# For these actions, NumPy is not required.
#
# They are required to succeed without Numpy for example when
# pip is used to install Scipy when Numpy is not yet present in
# the system.
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
FULLVERSION, GIT_REVISION = get_version_info()
metadata['version'] = FULLVERSION
else:
if (len(sys.argv) >= 2 and sys.argv[1] == 'bdist_wheel') or (
'develop' in sys.argv):
# bdist_wheel needs setuptools
import setuptools
from numpy.distutils.core import setup
cwd = os.path.abspath(os.path.dirname(__file__))
if not os.path.exists(os.path.join(cwd, 'PKG-INFO')):
# Generate Cython sources, unless building from source release
generate_cython()
metadata['configuration'] = configuration
setup(**metadata)
if __name__ == '__main__':
setup_package()