FM / distutils

/usr/local/lib64/python3.6/site-packages/numpy/distutils/

/usr/local/lib64/python3.6/site-packages/numpy/distutils

Name	Size	Mode	Actions
command/	-	0755	rm
fcompiler/	-	0755	rm
mingw/	-	0755	rm
tests/	-	0755	rm
__pycache__/	-	0755	rm
ccompiler.py	27358	0644	edit dl rm
conv_template.py	9558	0644	edit dl rm
core.py	8159	0644	edit dl rm
cpuinfo.py	22657	0644	edit dl rm
exec_command.py	10352	0644	edit dl rm
extension.py	3360	0644	edit dl rm
from_template.py	7962	0644	edit dl rm
intelccompiler.py	4225	0644	edit dl rm
lib2def.py	3644	0644	edit dl rm
line_endings.py	2032	0644	edit dl rm
log.py	2563	0644	edit dl rm
mingw32ccompiler.py	25232	0644	edit dl rm
misc_util.py	85421	0644	edit dl rm
msvc9compiler.py	2192	0644	edit dl rm
msvccompiler.py	1928	0644	edit dl rm
npy_pkg_config.py	12972	0644	edit dl rm
numpy_distribution.py	634	0644	edit dl rm
pathccompiler.py	713	0644	edit dl rm
setup.py	565	0644	edit dl rm
system_info.py	105340	0644	edit dl rm
unixccompiler.py	5005	0644	edit dl rm
_shell_utils.py	2613	0644	edit dl rm
__config__.py	2799	0644	edit dl rm
__init__.py	1559	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/numpy/distutils/__init__.py (1559B)

"""
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.

"""

# Must import local ccompiler ASAP in order to get
# customized CCompiler.spawn effective.
from . import ccompiler
from . import unixccompiler

from .npy_pkg_config import *

# 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

""" 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. """ # Must import local ccompiler ASAP in order to get # customized CCompiler.spawn effective. from . import ccompiler from . import unixccompiler from .npy_pkg_config import * # 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