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