forked from 170010011/fr
135 lines
5.0 KiB
Python
135 lines
5.0 KiB
Python
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import os.path
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from os.path import join
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from scipy._build_utils import numpy_nodepr_api
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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 (gfortran_legacy_flag_hook,
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blas_ilp64_pre_build_hook, combine_dict,
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uses_blas64, get_f2py_int64_options)
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from scipy._build_utils.compiler_helper import (
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set_cxx_flags_hook, set_cxx_flags_clib_hook, set_c_flags_hook)
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config = Configuration('optimize', parent_package, top_path)
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include_dirs = [join(os.path.dirname(__file__), '..', '_lib', 'src')]
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minpack_src = [join('minpack', '*f')]
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config.add_library('minpack', sources=minpack_src)
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config.add_extension('_minpack',
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sources=['_minpackmodule.c'],
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libraries=['minpack'],
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depends=(["minpack.h", "__minpack.h"] + minpack_src),
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include_dirs=include_dirs,
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**numpy_nodepr_api)
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config.add_library('rectangular_lsap',
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sources='rectangular_lsap/rectangular_lsap.cpp',
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headers='rectangular_lsap/rectangular_lsap.h',
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_pre_build_hook=set_cxx_flags_clib_hook)
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_lsap = config.add_extension(
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'_lsap_module',
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sources=['_lsap_module.c'],
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libraries=['rectangular_lsap'],
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depends=(['rectangular_lsap/rectangular_lsap.cpp',
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'rectangular_lsap/rectangular_lsap.h']),
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include_dirs=include_dirs,
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**numpy_nodepr_api)
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_lsap._pre_build_hook = set_c_flags_hook
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rootfind_src = [join('Zeros', '*.c')]
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rootfind_hdr = [join('Zeros', 'zeros.h')]
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config.add_library('rootfind',
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sources=rootfind_src,
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headers=rootfind_hdr, **numpy_nodepr_api)
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config.add_extension('_zeros',
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sources=['zeros.c'],
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libraries=['rootfind'],
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depends=(rootfind_src + rootfind_hdr),
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**numpy_nodepr_api)
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if uses_blas64():
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lapack = get_info('lapack_ilp64_opt')
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f2py_options = get_f2py_int64_options()
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pre_build_hook = blas_ilp64_pre_build_hook(lapack)
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else:
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lapack = get_info('lapack_opt')
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f2py_options = None
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pre_build_hook = None
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lapack = combine_dict(lapack, numpy_nodepr_api)
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sources = ['lbfgsb.pyf', 'lbfgsb.f', 'linpack.f', 'timer.f']
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ext = config.add_extension('_lbfgsb',
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sources=[join('lbfgsb_src', x)
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for x in sources],
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f2py_options=f2py_options,
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**lapack)
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ext._pre_build_hook = pre_build_hook
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sources = ['moduleTNC.c', 'tnc.c']
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config.add_extension('moduleTNC',
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sources=[join('tnc', x) for x in sources],
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depends=[join('tnc', 'tnc.h')],
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**numpy_nodepr_api)
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config.add_extension('_cobyla',
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sources=[join('cobyla', x) for x in [
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'cobyla.pyf', 'cobyla2.f', 'trstlp.f']],
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**numpy_nodepr_api)
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sources = ['minpack2.pyf', 'dcsrch.f', 'dcstep.f']
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config.add_extension('minpack2',
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sources=[join('minpack2', x) for x in sources],
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**numpy_nodepr_api)
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sources = ['slsqp.pyf', 'slsqp_optmz.f']
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ext = config.add_extension('_slsqp', sources=[
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join('slsqp', x) for x in sources], **numpy_nodepr_api)
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ext._pre_build_hook = gfortran_legacy_flag_hook
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ext = config.add_extension('__nnls', sources=[
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join('__nnls', x) for x in ["nnls.f", "nnls.pyf"]], **numpy_nodepr_api)
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ext._pre_build_hook = gfortran_legacy_flag_hook
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config.add_extension('_group_columns', sources=['_group_columns.c'],)
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config.add_extension('_bglu_dense', sources=['_bglu_dense.c'])
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config.add_subpackage('_lsq')
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config.add_subpackage('_trlib')
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config.add_subpackage('_trustregion_constr')
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# Cython optimize API for zeros functions
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config.add_subpackage('cython_optimize')
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config.add_data_files('cython_optimize.pxd')
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config.add_data_files(os.path.join('cython_optimize', '*.pxd'))
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config.add_extension(
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'cython_optimize._zeros',
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sources=[os.path.join('cython_optimize', '_zeros.c')])
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config.add_subpackage('_shgo_lib')
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config.add_data_dir('_shgo_lib')
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# HiGHS linear programming libraries and extensions
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config.add_subpackage('_highs')
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config.add_data_files(os.path.join('_highs', 'cython', 'src', '*.pxd'))
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config.add_data_dir('tests')
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# Add license files
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config.add_data_files('lbfgsb_src/README')
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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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