Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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63 lines
2.1 KiB
63 lines
2.1 KiB
from os.path import join
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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 import (get_f2py_int64_options,
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ilp64_pre_build_hook,
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uses_blas64)
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if uses_blas64():
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# TODO: Note that fitpack does not use BLAS/LAPACK.
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# The reason why we use 64-bit ints only in this case
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# is because scipy._build_utils knows the 64-bit int
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# flags for too few Fortran compilers, so we cannot turn
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# this on by default.
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pre_build_hook = ilp64_pre_build_hook
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f2py_options = get_f2py_int64_options()
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define_macros = [("HAVE_ILP64", None)]
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else:
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pre_build_hook = None
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f2py_options = None
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define_macros = []
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config = Configuration('interpolate', parent_package, top_path)
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fitpack_src = [join('fitpack', '*.f')]
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config.add_library('fitpack', sources=fitpack_src,
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_pre_build_hook=pre_build_hook)
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config.add_extension('interpnd',
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sources=['interpnd.c'])
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config.add_extension('_ppoly',
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sources=['_ppoly.c'])
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config.add_extension('_bspl',
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sources=['_bspl.c'],
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depends=['src/__fitpack.h'])
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config.add_extension('_fitpack',
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sources=['src/_fitpackmodule.c'],
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libraries=['fitpack'],
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define_macros=define_macros,
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depends=(['src/__fitpack.h']
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+ fitpack_src)
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)
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config.add_extension('dfitpack',
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sources=['src/fitpack.pyf'],
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libraries=['fitpack'],
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define_macros=define_macros,
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depends=fitpack_src,
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f2py_options=f2py_options
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)
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config.add_data_dir('tests')
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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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