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setup.py
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setup.py
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#!/usr/bin/env python
"""
Collection of wrappers around common tasks in the initial stages of data science workflow.
"""
DOCLINES = __doc__.split("\n")
import os
import sys
import subprocess
# Common settings between conda and pypi setup.py
import settings
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 :: 3 - Alpha
License :: OSI Approved :: GNU General Public License v3 (GPLv3)
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
"""
# 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 = settings.VERSION
if os.path.exists('.git'):
GIT_REVISION = git_version()
elif os.path.exists('datascienceutils/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('datascienceutils.version', 'datascienceutils/version.py')
GIT_REVISION = version.git_revision
else:
GIT_REVISION = "Unknown"
if not settings.ISRELEASED:
FULLVERSION += '.dev0+' + GIT_REVISION[:7]
return FULLVERSION, GIT_REVISION
def write_version_py(filename='datascienceutils/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': settings.VERSION,
'full_version': FULLVERSION,
'git_revision': GIT_REVISION,
'isrelease': str(settings.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 setup_package():
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
# Rewrite the version file every time
write_version_py()
if HAVE_SPHINX:
cmdclass = {'build_sphinx': ScipyBuildDoc}
else:
cmdclass = {}
build_requires = ['scikit-learn', 'bokeh', 'seaborn', 'pandas',
'scipy','matplotlib', 'xgboost', 'statsmodels']#, 'pyLightGBM']
metadata = dict(
name='datascienceutils',
version=get_version_info()[0],
packages=['datascienceutils', 'datascienceutils/features'],
maintainer="Software Mechanic",
maintainer_email="[email protected]",
description=DOCLINES[0],
long_description="\n".join(DOCLINES[2:]),
url="https://github.com/emofeedback/data-science-utils",
download_url="https://github.com/emofeedback/data-science-utils/releases",
license='GNU GPL v3',
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')):
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
cwd = os.path.abspath(os.path.dirname(__file__))
setup(**metadata)
if __name__ == '__main__':
setup_package()