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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