1
0
Fork 0
Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍 https://github.com/madlabunimib/PyCTBN
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
This repo is archived. You can view files and clone it, but cannot push or open issues/pull-requests.
PyCTBN/venv/lib/python3.9/site-packages/scipy/special/setup.py

171 lines
6.1 KiB

import os
import sys
from os.path import join, dirname
from distutils.sysconfig import get_python_inc
import subprocess
import numpy
from numpy.distutils.misc_util import get_numpy_include_dirs
try:
from numpy.distutils.misc_util import get_info
except ImportError:
raise ValueError("numpy >= 1.4 is required (detected %s from %s)" %
(numpy.__version__, numpy.__file__))
def configuration(parent_package='',top_path=None):
from numpy.distutils.misc_util import Configuration
from scipy._build_utils.system_info import get_info as get_system_info
config = Configuration('special', parent_package, top_path)
define_macros = []
if sys.platform == 'win32':
# define_macros.append(('NOINFINITIES',None))
# define_macros.append(('NONANS',None))
define_macros.append(('_USE_MATH_DEFINES',None))
curdir = os.path.abspath(os.path.dirname(__file__))
python_inc_dirs = get_python_inc()
plat_specific_python_inc_dirs = get_python_inc(plat_specific=1)
inc_dirs = [get_numpy_include_dirs(), python_inc_dirs]
if python_inc_dirs != plat_specific_python_inc_dirs:
inc_dirs.append(plat_specific_python_inc_dirs)
inc_dirs.append(join(dirname(dirname(__file__)), '_lib'))
# C libraries
cephes_src = [join('cephes','*.c')]
cephes_hdr = [join('cephes', '*.h')]
config.add_library('sc_cephes',sources=cephes_src,
include_dirs=[curdir] + inc_dirs,
depends=(cephes_hdr + ['*.h']),
macros=define_macros)
# Fortran/C++ libraries
mach_src = [join('mach','*.f')]
amos_src = [join('amos','*.f')]
cdf_src = [join('cdflib','*.f')]
specfun_src = [join('specfun','*.f')]
config.add_library('sc_mach',sources=mach_src,
config_fc={'noopt':(__file__,1)})
config.add_library('sc_amos',sources=amos_src)
config.add_library('sc_cdf',sources=cdf_src)
config.add_library('sc_specfun',sources=specfun_src)
# Extension specfun
config.add_extension('specfun',
sources=['specfun.pyf'],
f2py_options=['--no-wrap-functions'],
depends=specfun_src,
define_macros=[],
libraries=['sc_specfun'])
# Extension _ufuncs
headers = ['*.h', join('cephes', '*.h')]
ufuncs_src = ['_ufuncs.c', 'sf_error.c', '_logit.c.src',
"amos_wrappers.c", "cdf_wrappers.c", "specfun_wrappers.c"]
ufuncs_dep = (
headers
+ ufuncs_src
+ amos_src
+ cephes_src
+ mach_src
+ cdf_src
+ specfun_src
)
cfg = dict(get_system_info('lapack_opt'))
cfg.setdefault('include_dirs', []).extend([curdir] + inc_dirs + [numpy.get_include()])
cfg.setdefault('libraries', []).extend(
['sc_amos', 'sc_cephes', 'sc_mach', 'sc_cdf', 'sc_specfun']
)
cfg.setdefault('define_macros', []).extend(define_macros)
config.add_extension('_ufuncs',
depends=ufuncs_dep,
sources=ufuncs_src,
extra_info=get_info("npymath"),
**cfg)
# Extension _ufuncs_cxx
ufuncs_cxx_src = ['_ufuncs_cxx.cxx', 'sf_error.c',
'_faddeeva.cxx', 'Faddeeva.cc',
'_wright.cxx', 'wright.cc']
ufuncs_cxx_dep = (headers + ufuncs_cxx_src + cephes_src
+ ['*.hh'])
config.add_extension('_ufuncs_cxx',
sources=ufuncs_cxx_src,
depends=ufuncs_cxx_dep,
include_dirs=[curdir] + inc_dirs,
define_macros=define_macros,
extra_info=get_info("npymath"))
cfg = dict(get_system_info('lapack_opt'))
config.add_extension('_ellip_harm_2',
sources=['_ellip_harm_2.c', 'sf_error.c',],
**cfg
)
# Cython API
config.add_data_files('cython_special.pxd')
cython_special_src = ['cython_special.c', 'sf_error.c', '_logit.c.src',
"amos_wrappers.c", "cdf_wrappers.c", "specfun_wrappers.c"]
cython_special_dep = (
headers
+ ufuncs_src
+ ufuncs_cxx_src
+ amos_src
+ cephes_src
+ mach_src
+ cdf_src
+ specfun_src
)
cfg = dict(get_system_info('lapack_opt'))
cfg.setdefault('include_dirs', []).extend([curdir] + inc_dirs + [numpy.get_include()])
cfg.setdefault('libraries', []).extend(
['sc_amos', 'sc_cephes', 'sc_mach', 'sc_cdf', 'sc_specfun']
)
cfg.setdefault('define_macros', []).extend(define_macros)
config.add_extension('cython_special',
depends=cython_special_dep,
sources=cython_special_src,
extra_info=get_info("npymath"),
**cfg)
# combinatorics
config.add_extension('_comb',
sources=['_comb.c'])
# testing for _round.h
config.add_extension('_test_round',
sources=['_test_round.c'],
depends=['_round.h', 'cephes/dd_idefs.h'],
include_dirs=[numpy.get_include()] + inc_dirs,
extra_info=get_info('npymath'))
config.add_data_files('tests/*.py')
config.add_data_files('tests/data/README')
# regenerate npz data files
makenpz = os.path.join(os.path.dirname(__file__),
'utils', 'makenpz.py')
data_dir = os.path.join(os.path.dirname(__file__),
'tests', 'data')
for name in ['boost', 'gsl', 'local']:
subprocess.check_call([sys.executable, makenpz,
'--use-timestamp',
os.path.join(data_dir, name)])
config.add_data_files('tests/data/*.npz')
config.add_subpackage('_precompute')
# Type stubs
config.add_data_files('*.pyi')
return config
if __name__ == '__main__':
from numpy.distutils.core import setup
setup(**configuration(top_path='').todict())