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setup.py
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#! /usr/bin/env python
import codecs
import os
from setuptools import find_packages, setup
from Cython.Build import cythonize
# get __version__ from _version.py
ver_file = os.path.join("efc", "_version.py")
with open(ver_file) as f:
exec(f.read())
DISTNAME = "efc"
DESCRIPTION = "A scikit-learn compatible package of the Energy-based Flow Classifier."
with codecs.open("README.rst", encoding="utf-8-sig") as f:
LONG_DESCRIPTION = f.read()
MAINTAINER = "Manuela M. C. de Souza"
MAINTAINER_EMAIL = "[email protected]"
LICENSE = "new BSD"
VERSION = __version__
INSTALL_REQUIRES = ["numpy", "cython", "scikit-learn"]
CLASSIFIERS = [
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",
"License :: OSI Approved",
"Programming Language :: Python",
"Topic :: Software Development",
"Topic :: Scientific/Engineering",
"Operating System :: Microsoft :: Windows",
"Operating System :: POSIX",
"Operating System :: Unix",
"Operating System :: MacOS",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
]
EXTRAS_REQUIRE = {
"tests": ["pytest", "pytest-cython", "pytest-cov"],
"docs": ["sphinx", "sphinx-gallery", "sphinx_rtd_theme", "numpydoc", "matplotlib"],
}
setup(
name=DISTNAME,
maintainer=MAINTAINER,
maintainer_email=MAINTAINER_EMAIL,
description=DESCRIPTION,
license=LICENSE,
version=VERSION,
long_description=LONG_DESCRIPTION,
zip_safe=False, # the package can run out of an .egg file
classifiers=CLASSIFIERS,
packages=find_packages(),
install_requires=INSTALL_REQUIRES,
extras_require=EXTRAS_REQUIRE,
ext_modules=cythonize("efc/_base_fast.pyx"),
)