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setup.py
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#! /usr/bin/env python3
import imp
import os
import sys
import subprocess
NAME = 'Orange'
VERSION = '3.1'
ISRELEASED = False
DESCRIPTION = 'Orange, a component-based data mining framework.'
README_FILE = os.path.join(os.path.dirname(__file__), 'README.txt')
LONG_DESCRIPTION = open(README_FILE).read()
AUTHOR = 'Bioinformatics Laboratory, FRI UL'
AUTHOR_EMAIL = '[email protected]'
URL = 'http://orange.biolab.si/'
DOWNLOAD_URL = 'https://bitbucket.org/biolab/orange/downloads'
LICENSE = 'GPLv3'
KEYWORDS = (
'data mining',
'machine learning',
'artificial intelligence',
)
CLASSIFIERS = (
'Development Status :: 4 - Beta',
'Environment :: X11 Applications :: Qt',
'Environment :: Console',
'Environment :: Plugins',
'Programming Language :: Python',
'Framework :: Orange',
'License :: OSI Approved :: '
'GNU General Public License v3 or later (GPLv3+)',
'Operating System :: POSIX',
'Operating System :: Microsoft :: Windows',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Scientific/Engineering :: Visualization',
'Topic :: Software Development :: Libraries :: Python Modules',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'Intended Audience :: Developers',
)
INSTALL_REQUIRES = (
'setuptools',
'numpy',
'scipy',
'bottleneck',
"sqlparse"
)
if len({'develop', 'release', 'bdist_egg', 'bdist_rpm', 'bdist_wininst',
'install_egg_info', 'build_sphinx', 'egg_info', 'easy_install',
'upload', 'test'}.intersection(sys.argv)) > 0:
import setuptools
extra_setuptools_args = dict(
zip_safe=False, # the package can run out of an .egg file
include_package_data=True,
test_suite='Orange.tests.test_suite',
install_requires=INSTALL_REQUIRES
)
else:
extra_setuptools_args = dict()
# Return the git revision as a string
def git_version():
"""Return the git revision as a string.
Copied from numpy setup.py
"""
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
def write_version_py(filename='Orange/version.py'):
# Copied from numpy setup.py
cnt = """
# THIS FILE IS GENERATED FROM ORANGE 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
short_version += ".dev"
"""
FULLVERSION = VERSION
if os.path.exists('.git'):
GIT_REVISION = git_version()
elif os.path.exists('Orange/version.py'):
# must be a source distribution, use existing version file
version = imp.load_source("Orange.version", "Orange/version.py")
GIT_REVISION = version.git_revision
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()
from numpy.distutils.core import setup
def configuration(parent_package='', top_path=None):
if os.path.exists('MANIFEST'):
os.remove('MANIFEST')
from numpy.distutils.misc_util import Configuration
config = Configuration(None, parent_package, top_path)
# Avoid non-useful msg:
# "Ignoring attempt to set 'name' (from ... "
config.set_options(ignore_setup_xxx_py=True,
assume_default_configuration=True,
delegate_options_to_subpackages=True,
quiet=True)
config.add_subpackage('Orange')
config.get_version('Orange/version.py') # sets config.version
return config
PACKAGES = [
"Orange",
"Orange.canvas",
"Orange.canvas.application",
"Orange.canvas.application.tutorials",
"Orange.canvas.canvas",
"Orange.canvas.canvas.items",
"Orange.canvas.document",
"Orange.canvas.gui",
"Orange.canvas.help",
"Orange.canvas.preview",
"Orange.canvas.registry",
"Orange.canvas.scheme",
"Orange.canvas.styles",
"Orange.canvas.utils",
"Orange.classification",
"Orange.data",
"Orange.data.sql",
"Orange.evaluation",
"Orange.feature",
"Orange.misc",
"Orange.statistics",
"Orange.testing",
"Orange.widgets",
"Orange.widgets.data",
"Orange.widgets.visualize",
"Orange.widgets.classify",
"Orange.widgets.regression",
"Orange.widgets.evaluate",
"Orange.widgets.unsupervised",
"Orange.widgets.utils",
"Orange.widgets.utils.plot",
"Orange.widgets.utils.plot.primitives"
]
PACKAGE_DATA = {
"Orange": ["datasets/*.{}".format(ext) for ext in ["tab", "csv", "basket"]],
"Orange.canvas": ["icons/*.png", "icons/*.svg"],
"Orange.canvas.styles": ["*.qss", "orange/*.svg"],
"Orange.canvas.application.tutorials": ["*.ows"],
"Orange.widgets": ["icons/*.png", "icons/*.svg"],
"Orange.widgets.data": ["icons/*.svg", "icons/paintdata/*.png", "icons/paintdata/*.svg"],
"Orange.widgets.visualize": ["icons/*.svg"],
"Orange.widgets.classify": ["icons/*.svg"],
"Orange.widgets.regression": ["icons/*.svg"],
"Orange.widgets.evaluate": ["icons/*.svg"],
"Orange.widgets.unsupervised": ["icons/*.svg"],
"Orange.widgets.plot": ["*.fs", "*.gs", "*.vs"],
"Orange.widgets.plot.primitives": ["*.obj"],
}
def setup_package():
write_version_py()
setup(
configuration=configuration,
name=NAME,
description=DESCRIPTION,
long_description=LONG_DESCRIPTION,
author=AUTHOR,
author_email=AUTHOR_EMAIL,
url=URL,
download_url=DOWNLOAD_URL,
license=LICENSE,
keywords=KEYWORDS,
classifiers=CLASSIFIERS,
packages=PACKAGES,
package_data=PACKAGE_DATA,
**extra_setuptools_args
)
if __name__ == '__main__':
setup_package()