scatt/setup.py

#!/usr/bin/env python
# -*- coding: UTF-8 -*-
#
#    Copyright (C) 2009-2015 Ovidio Peña Rodríguez <ovidio@bytesfall.com>
#
#    This file is part of python-scattnlay
#
#    This program is free software: you can redistribute it and/or modify
#    it under the terms of the GNU General Public License as published by
#    the Free Software Foundation, either version 3 of the License, or
#    (at your option) any later version.
#
#    This program is distributed in the hope that it will be useful,
#    but WITHOUT ANY WARRANTY; without even the implied warranty of
#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
#    GNU General Public License for more details.
#
#    The only additional remark is that we expect that all publications
#    describing work using this software, or all commercial products
#    using it, cite the following reference:
#    [1] O. Pena and U. Pal, "Scattering of electromagnetic radiation by
#        a multilayered sphere," Computer Physics Communications,
#        vol. 180, Nov. 2009, pp. 2348-2354.
#
#    You should have received a copy of the GNU General Public License
#    along with this program.  If not, see <http://www.gnu.org/licenses/>.

__version__ = '0.3.1'
__title__ = 'Calculation of the scattering of EM radiation by a multilayered sphere'
__mod__ = 'python-scattnlay'
__author__ = 'Ovidio Peña Rodríguez'
__email__ = 'ovidio@bytesfall.com'
__url__ = 'http://scattering.sourceforge.net/'

from distutils.core import setup
from distutils.extension import Extension
import numpy as np

# setup(name = __mod__,
#       version = __version__,
#       description = __title__,
#       long_description="""The Python version of scattnlay, a computer implementation of the algorithm for the calculation of electromagnetic \
# radiation scattering by a multilayered sphere developed by Yang. It has been shown that the program is effective, \
# resulting in very accurate values of scattering efficiencies for a wide range of size parameters, which is a \
# considerable improvement over previous implementations of similar algorithms. For details see: \
# O. Pena, U. Pal, Comput. Phys. Commun. 180 (2009) 2348-2354.""",
#       author = __author__,
#       author_email = __email__,
#       maintainer = __author__,
#       maintainer_email = __email__,
#       keywords = ['Mie scattering', 'Multilayered sphere', 'Efficiency factors', 'Cross-sections'],
#       url = __url__,
#       license = 'GPL',
#       platforms = 'any',
#       ext_modules = [Extension("scattnlay", ["nmie.cc", "nmie-wrapper.cc", "py_nmie.cc", "scattnlay.cc"], language = "c++", include_dirs = [np.get_include()])], 
#       extra_compile_args=['-std=c++11']
# )

from distutils.core import setup
from Cython.Build import cythonize
setup(ext_modules = cythonize(
           "scattnlay.pyx",                 # our Cython source
           sources=["nmie-wrapper.cc"],  # additional source file(s)
           language="c++",             # generate C++ code
           extra_compile_args=['-std=c++11'],
      ))