FM / core

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

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

Name	Size	Mode	Actions
include/	-	0755	rm
lib/	-	0755	rm
tests/	-	0755	rm
__pycache__/	-	0755	rm
arrayprint.py	59114	0644	edit dl rm
cversions.py	347	0644	edit dl rm
defchararray.py	70041	0644	edit dl rm
einsumfunc.py	50689	0644	edit dl rm
fromnumeric.py	119216	0644	edit dl rm
function_base.py	18034	0644	edit dl rm
generate_numpy_api.py	7022	0644	edit dl rm
getlimits.py	19076	0644	edit dl rm
machar.py	10786	0644	edit dl rm
memmap.py	11562	0644	edit dl rm
multiarray.py	54410	0644	edit dl rm
numeric.py	74615	0644	edit dl rm
numerictypes.py	16563	0644	edit dl rm
overrides.py	7481	0644	edit dl rm
records.py	35083	0644	edit dl rm
setup.py	42409	0644	edit dl rm
setup_common.py	18410	0644	edit dl rm
shape_base.py	29014	0644	edit dl rm
umath.py	2040	0644	edit dl rm
umath_tests.py	389	0644	edit dl rm
_add_newdocs.py	202741	0644	edit dl rm
_asarray.py	9874	0644	edit dl rm
_dtype.py	9820	0644	edit dl rm
_dtype_ctypes.py	3673	0644	edit dl rm
_exceptions.py	6145	0644	edit dl rm
_internal.py	26293	0644	edit dl rm
_methods.py	9148	0644	edit dl rm
_multiarray_tests.cpython-36m-x86_64-linux-gnu.so	167112	0755	edit dl rm
_multiarray_umath.cpython-36m-x86_64-linux-gnu.so	4169248	0755	edit dl rm
_operand_flag_tests.cpython-36m-x86_64-linux-gnu.so	13168	0755	edit dl rm
_rational_tests.cpython-36m-x86_64-linux-gnu.so	59856	0755	edit dl rm
_string_helpers.py	2855	0644	edit dl rm
_struct_ufunc_tests.cpython-36m-x86_64-linux-gnu.so	13272	0755	edit dl rm
_type_aliases.py	8846	0644	edit dl rm
_ufunc_config.py	13821	0644	edit dl rm
_umath_tests.cpython-36m-x86_64-linux-gnu.so	27768	0755	edit dl rm
__init__.py	4335	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/numpy/core/__init__.py (4335B)

"""
Contains the core of NumPy: ndarray, ufuncs, dtypes, etc.

Please note that this module is private.  All functions and objects
are available in the main ``numpy`` namespace - use that instead.

"""

from numpy.version import version as __version__

import os

# disables OpenBLAS affinity setting of the main thread that limits
# python threads or processes to one core
env_added = []
for envkey in ['OPENBLAS_MAIN_FREE', 'GOTOBLAS_MAIN_FREE']:
    if envkey not in os.environ:
        os.environ[envkey] = '1'
        env_added.append(envkey)

try:
    from . import multiarray
except ImportError as exc:
    import sys
    msg = """

IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!

Importing the numpy C-extensions failed. This error can happen for
many reasons, often due to issues with your setup or how NumPy was
installed.

We have compiled some common reasons and troubleshooting tips at:

https://numpy.org/devdocs/user/troubleshooting-importerror.html

Please note and check the following:

* The Python version is: Python%d.%d from "%s"
  * The NumPy version is: "%s"

and make sure that they are the versions you expect.
Please carefully study the documentation linked above for further help.

Original error was: %s
""" % (sys.version_info[0], sys.version_info[1], sys.executable,
        __version__, exc)
    raise ImportError(msg)
finally:
    for envkey in env_added:
        del os.environ[envkey]
del envkey
del env_added
del os

from . import umath

# Check that multiarray,umath are pure python modules wrapping
# _multiarray_umath and not either of the old c-extension modules
if not (hasattr(multiarray, '_multiarray_umath') and
        hasattr(umath, '_multiarray_umath')):
    import sys
    path = sys.modules['numpy'].__path__
    msg = ("Something is wrong with the numpy installation. "
        "While importing we detected an older version of "
        "numpy in {}. One method of fixing this is to repeatedly uninstall "
        "numpy until none is found, then reinstall this version.")
    raise ImportError(msg.format(path))

from . import numerictypes as nt
multiarray.set_typeDict(nt.sctypeDict)
from . import numeric
from .numeric import *
from . import fromnumeric
from .fromnumeric import *
from . import defchararray as char
from . import records as rec
from .records import *
from .memmap import *
from .defchararray import chararray
from . import function_base
from .function_base import *
from . import machar
from .machar import *
from . import getlimits
from .getlimits import *
from . import shape_base
from .shape_base import *
from . import einsumfunc
from .einsumfunc import *
del nt

from .fromnumeric import amax as max, amin as min, round_ as round
from .numeric import absolute as abs

# do this after everything else, to minimize the chance of this misleadingly
# appearing in an import-time traceback
from . import _add_newdocs
# add these for module-freeze analysis (like PyInstaller)
from . import _dtype_ctypes
from . import _internal
from . import _dtype
from . import _methods

__all__ = ['char', 'rec', 'memmap']
__all__ += numeric.__all__
__all__ += fromnumeric.__all__
__all__ += rec.__all__
__all__ += ['chararray']
__all__ += function_base.__all__
__all__ += machar.__all__
__all__ += getlimits.__all__
__all__ += shape_base.__all__
__all__ += einsumfunc.__all__

# Make it possible so that ufuncs can be pickled
#  Here are the loading and unloading functions
# The name numpy.core._ufunc_reconstruct must be
#   available for unpickling to work.
def _ufunc_reconstruct(module, name):
    # The `fromlist` kwarg is required to ensure that `mod` points to the
    # inner-most module rather than the parent package when module name is
    # nested. This makes it possible to pickle non-toplevel ufuncs such as
    # scipy.special.expit for instance.
    mod = __import__(module, fromlist=[name])
    return getattr(mod, name)

def _ufunc_reduce(func):
    from pickle import whichmodule
    name = func.__name__
    return _ufunc_reconstruct, (whichmodule(func, name), name)

import copyreg

copyreg.pickle(ufunc, _ufunc_reduce, _ufunc_reconstruct)
# Unclutter namespace (must keep _ufunc_reconstruct for unpickling)
del copyreg
del _ufunc_reduce

from numpy._pytesttester import PytestTester
test = PytestTester(__name__)
del PytestTester

cmd: