import os import glob from setuptools import setup, find_packages, Extension from Cython.Distutils import build_ext from numpy import get_include with open("README.rst") as f: long_desc = f.read() ind = long_desc.find("\n") long_desc = long_desc[ind + 1:] ext_symmfunc = Extension( "aenet.core", [os.path.join("aenet", "core.pyx")], extra_compile_args=[ '-I' + os.path.join(os.path.pardir, 'src'), '-I' + os.path.join(os.path.curdir, 'aenet'), '-fPIC', '-O2'], extra_objects = \ glob.glob(os.path.join(os.path.pardir,"lib","Lbfgsb.*","*_pic.o")) \ + glob.glob(os.path.join(os.path.pardir,"src","*_pic.o")), libraries = ['lapack', 'blas', 'gfortran'] ) setup( cmdclass={'build_ext': build_ext}, name="aenet", packages=find_packages(), version="0.1.0a1", install_requires=["numpy>=1.5"], author="Nongnuch Artrith, Alexander Urban", author_email="nartrith@atomistic.net, aurban@atomistic.net", maintainer="Nongnuch Artrith, Alexander Urban", url="http://aenet.atomistic.net", license="GNU GPL", description="Artificial Neural Network Potentials", long_description=long_desc, keywords=[], classifiers=[ "Programming Language :: Python :: 2.7", "Development Status :: 5 - Production/Stable", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU GPL", "Operating System :: OS Independent", "Topic :: Scientific/Engineering :: Physics", "Topic :: Scientific/Engineering :: Chemistry" ], include_dirs=[get_include()], ext_modules=[ext_symmfunc], scripts=glob.glob(os.path.join("scripts", "*.py")) )