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setup.py
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setup.py
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#! /usr/bin/env python
#
# Copyright (C) 2007-2009 Cournapeau David <[email protected]>
# 2010 Fabian Pedregosa <[email protected]>
# 2014 Gael Varoquaux
# 2014-2016 Sergei Lebedev <[email protected]>
"""Hidden Markov Models in Python with scikit-learn like API"""
import sys
try:
from numpy.distutils.misc_util import get_info
except ImportError:
# A dirty hack to get RTD running.
def get_info(name):
return {}
from setuptools import setup, Extension
DISTNAME = "hmmlearn"
DESCRIPTION = __doc__
LONG_DESCRIPTION = open("README.rst").read()
MAINTAINER = "Sergei Lebedev"
MAINTAINER_EMAIL = "[email protected]"
LICENSE = "new BSD"
CLASSIFIERS = [
"Development Status :: 3 - Alpha",
"License :: OSI Approved",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Topic :: Software Development",
"Topic :: Scientific/Engineering",
"Programming Language :: Cython",
"Programming Language :: Python",
"Programming Language :: Python :: 2",
"Programming Language :: Python :: 2.6",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.4",
"Programming Language :: Python :: 3.5",
]
import hmmlearn
VERSION = hmmlearn.__version__
install_requires = ["scikit-learn>=0.16"]
tests_require = install_requires + ["pytest"]
docs_require = install_requires + [
"Sphinx", "sphinx-gallery", "numpydoc", "Pillow", "matplotlib"
]
setup_options = dict(
name="hmmlearn",
version=VERSION,
description=DESCRIPTION,
long_description=LONG_DESCRIPTION,
maintainer=MAINTAINER,
maintainer_email=MAINTAINER_EMAIL,
license=LICENSE,
url="https://github.com/hmmlearn/hmmlearn",
packages=["hmmlearn", "hmmlearn.tests"],
classifiers=CLASSIFIERS,
ext_modules=[
Extension("hmmlearn._hmmc", ["hmmlearn/_hmmc.c"],
extra_compile_args=["-O3"],
**get_info("npymath"))
],
install_requires=install_requires,
tests_require=tests_require,
extras_require={
"tests": tests_require,
"docs": docs_require
}
)
if __name__ == "__main__":
setup(**setup_options)