Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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81 lines
2.7 KiB
81 lines
2.7 KiB
import os
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import sys
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def configuration(parent_package='', top_path=None):
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from numpy.distutils.misc_util import Configuration
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from numpy.distutils.system_info import get_info, system_info
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config = Configuration('linalg', parent_package, top_path)
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config.add_subpackage('tests')
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# Configure lapack_lite
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src_dir = 'lapack_lite'
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lapack_lite_src = [
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os.path.join(src_dir, 'python_xerbla.c'),
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os.path.join(src_dir, 'f2c_z_lapack.c'),
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os.path.join(src_dir, 'f2c_c_lapack.c'),
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os.path.join(src_dir, 'f2c_d_lapack.c'),
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os.path.join(src_dir, 'f2c_s_lapack.c'),
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os.path.join(src_dir, 'f2c_lapack.c'),
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os.path.join(src_dir, 'f2c_blas.c'),
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os.path.join(src_dir, 'f2c_config.c'),
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os.path.join(src_dir, 'f2c.c'),
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]
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all_sources = config.paths(lapack_lite_src)
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if os.environ.get('NPY_USE_BLAS_ILP64', "0") != "0":
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lapack_info = get_info('lapack_ilp64_opt', 2)
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else:
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lapack_info = get_info('lapack_opt', 0) # and {}
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use_lapack_lite = not lapack_info
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if use_lapack_lite:
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# This makes numpy.distutils write the fact that lapack_lite
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# is being used to numpy.__config__
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class numpy_linalg_lapack_lite(system_info):
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def calc_info(self):
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info = {'language': 'c'}
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if sys.maxsize > 2**32:
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# Build lapack-lite in 64-bit integer mode.
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# The suffix is arbitrary (lapack_lite symbols follow it),
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# but use the "64_" convention here.
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info['define_macros'] = [
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('HAVE_BLAS_ILP64', None),
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('BLAS_SYMBOL_SUFFIX', '64_')
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]
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self.set_info(**info)
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lapack_info = numpy_linalg_lapack_lite().get_info(2)
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def get_lapack_lite_sources(ext, build_dir):
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if use_lapack_lite:
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print("### Warning: Using unoptimized lapack ###")
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return all_sources
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else:
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if sys.platform == 'win32':
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print("### Warning: python_xerbla.c is disabled ###")
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return []
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return [all_sources[0]]
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config.add_extension(
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'lapack_lite',
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sources=['lapack_litemodule.c', get_lapack_lite_sources],
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depends=['lapack_lite/f2c.h'],
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extra_info=lapack_info,
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)
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# umath_linalg module
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config.add_extension(
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'_umath_linalg',
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sources=['umath_linalg.c.src', get_lapack_lite_sources],
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depends=['lapack_lite/f2c.h'],
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extra_info=lapack_info,
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libraries=['npymath'],
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)
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return config
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if __name__ == '__main__':
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from numpy.distutils.core import setup
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setup(configuration=configuration)
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