Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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53 lines
1.6 KiB
53 lines
1.6 KiB
from os.path import join, dirname
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import sys
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import glob
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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 scipy._build_utils.system_info import get_info
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from scipy._build_utils import numpy_nodepr_api
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config = Configuration('dsolve',parent_package,top_path)
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config.add_data_dir('tests')
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lapack_opt = get_info('lapack_opt',notfound_action=2)
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if sys.platform == 'win32':
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superlu_defs = [('NO_TIMER',1)]
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else:
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superlu_defs = []
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superlu_defs.append(('USE_VENDOR_BLAS',1))
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superlu_src = join(dirname(__file__), 'SuperLU', 'SRC')
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sources = sorted(glob.glob(join(superlu_src, '*.c')))
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headers = list(glob.glob(join(superlu_src, '*.h')))
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config.add_library('superlu_src',
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sources=sources,
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macros=superlu_defs,
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include_dirs=[superlu_src],
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)
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# Extension
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ext_sources = ['_superlumodule.c',
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'_superlu_utils.c',
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'_superluobject.c']
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config.add_extension('_superlu',
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sources=ext_sources,
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libraries=['superlu_src'],
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depends=(sources + headers),
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extra_info=lapack_opt,
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**numpy_nodepr_api
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)
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# Add license files
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config.add_data_files('SuperLU/License.txt')
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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(top_path='').todict())
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