scatt/setup.py

#!/usr/bin/env python3
# -*- coding: UTF-8 -*-
#
#    Copyright (C) 2009-2019 Ovidio Peña Rodríguez <ovidio@bytesfall.com>
#    Copyright (C) 2013-2019 Konstantin Ladutenko <kostyfisik@gmail.com>
#
#    This file is part of 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 at least one of the following references:
#    [1] O. Peña and U. Pal, "Scattering of electromagnetic radiation by
#        a multilayered sphere," Computer Physics Communications,
#        vol. 180, Nov. 2009, pp. 2348-2354.
#    [2] K. Ladutenko, U. Pal, A. Rivera, and O. Peña-Rodríguez, "Mie
#        calculation of electromagnetic near-field for a multilayered
#        sphere," Computer Physics Communications, vol. 214, May 2017,
#        pp. 225-230.
#
#    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__ = '2.3'
__title__ = 'Calculation of the scattering of EM radiation by a multilayered sphere'
__mod__ = 'python-scattnlay'
__author__ = 'Ovidio Peña Rodríguez'
__email__ = 'ovidio@bytesfall.com'
__url__ = 'https://github.com/ovidiopr/scattnlay'
__download_url__ = 'https://github.com/ovidiopr/scattnlay/archive/v' + \
    __version__+'.0.tar.gz'

from setuptools import setup
from setuptools.extension import Extension
import numpy as np
import pybind11 as pb


ext_dp = Extension("scattnlay_dp",
                   ["src/pb11-wrapper.cc"],
                   language="c++",
                   include_dirs=[np.get_include(), pb.get_include()],
                   #    extra_compile_args=['-std=c++11']
                   )
# extra_compile_args=['-std=c++11', '-O3',
#                     '-mavx2', '-mfma',
#                     '-finline-limit=1000000', '-ffp-contract=fast']),
ext_mp = Extension("scattnlay_mp",
                   ["src/pb11-wrapper.cc"],
                   language="c++",
                   include_dirs=[np.get_include(), pb.get_include()],
                   extra_compile_args=[  # '-std=c++11',
                       '-DMULTI_PRECISION=100'])
# extra_compile_args=['-std=c++11', '-O3',
#                     '-mavx2', '-mfma',
#                     '-finline-limit=1000000', '-ffp-contract=fast',
#                     '-DMULTI_PRECISION=100']),


def run_setup(extensions):
    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__,
          download_url=__download_url__,
          license='GPL',
          platforms='any',
          packages=['scattnlay'],  # , 'scattnlay_dp', 'scattnlay_mp'],
          test_suite="tests",
          ext_modules=extensions,
          install_requires=['numpy']
          )


try:
    run_setup([ext_dp, ext_mp])
except:
    print('Failed to build all extensions... Building only in double precision...')
    run_setup([ext_dp])