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ðŸ“ ..
ðŸ“„ __config__.py(5.02 KB)
ðŸ“„ __init__.py(2.03 KB)
ðŸ“„ __init__.pyi(119 B)
ðŸ“ __pycache__
ðŸ“„ _shell_utils.py(2.55 KB)
ðŸ“„ armccompiler.py(962 B)
ðŸ“„ ccompiler.py(27.95 KB)
ðŸ“„ ccompiler_opt.py(97.98 KB)
ðŸ“ checks
ðŸ“ command
ðŸ“„ conv_template.py(9.31 KB)
ðŸ“„ core.py(7.98 KB)
ðŸ“„ cpuinfo.py(22.11 KB)
ðŸ“„ exec_command.py(10.04 KB)
ðŸ“„ extension.py(3.48 KB)
ðŸ“ fcompiler
ðŸ“„ from_template.py(7.73 KB)
ðŸ“„ fujitsuccompiler.py(834 B)
ðŸ“„ intelccompiler.py(4.13 KB)
ðŸ“„ lib2def.py(3.54 KB)
ðŸ“„ line_endings.py(1.98 KB)
ðŸ“„ log.py(2.81 KB)
ðŸ“ mingw
ðŸ“„ mingw32ccompiler.py(21.55 KB)
ðŸ“„ misc_util.py(87.26 KB)
ðŸ“„ msvc9compiler.py(2.14 KB)
ðŸ“„ msvccompiler.py(2.58 KB)
ðŸ“„ npy_pkg_config.py(12.67 KB)
ðŸ“„ numpy_distribution.py(634 B)
ðŸ“„ pathccompiler.py(713 B)
ðŸ“„ setup.py(634 B)
ðŸ“„ system_info.py(110.53 KB)
ðŸ“ tests
ðŸ“„ unixccompiler.py(5.3 KB)

Editing: init.py

"""
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

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