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numpy
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distutils
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__init__.py
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""" An enhanced distutils, providing support for Fortran compilers, for BLAS, LAPACK and other common libraries for numerical computing, and more. Public submodules are:: misc_util system_info cpu_info log exec_command For details, please see the *Packaging* and *NumPy Distutils User Guide* sections of the NumPy Reference Guide. For configuring the preference for and location of libraries like BLAS and LAPACK, and for setting include paths and similar build options, please see ``site.cfg.example`` in the root of the NumPy repository or sdist. """ import warnings # Must import local ccompiler ASAP in order to get # customized CCompiler.spawn effective. from . import ccompiler from . import unixccompiler from .npy_pkg_config import * warnings.warn("\n\n" " `numpy.distutils` is deprecated since NumPy 1.23.0, as a result\n" " of the deprecation of `distutils` itself. It will be removed for\n" " Python >= 3.12. For older Python versions it will remain present.\n" " It is recommended to use `setuptools < 60.0` for those Python versions.\n" " For more details, see:\n" " https://numpy.org/devdocs/reference/distutils_status_migration.html \n\n", DeprecationWarning, stacklevel=2 ) del warnings # If numpy is installed, add distutils.test() try: from . import __config__ # Normally numpy is installed if the above import works, but an interrupted # in-place build could also have left a __config__.py. In that case the # next import may still fail, so keep it inside the try block. from numpy._pytesttester import PytestTester test = PytestTester(__name__) del PytestTester except ImportError: pass def customized_fcompiler(plat=None, compiler=None): from numpy.distutils.fcompiler import new_fcompiler c = new_fcompiler(plat=plat, compiler=compiler) c.customize() return c def customized_ccompiler(plat=None, compiler=None, verbose=1): c = ccompiler.new_compiler(plat=plat, compiler=compiler, verbose=verbose) c.customize('') return c