numpy/core/__init__.py

from __future__ import division, absolute_import, print_function

from .info import __doc__
from numpy.version import version as __version__

# disables OpenBLAS affinity setting of the main thread that limits
# python threads or processes to one core
import os
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:
    msg = """
Importing the multiarray numpy extension module failed.  Most
likely you are trying to import a failed build of numpy.
If you're working with a numpy git repo, try `git clean -xdf` (removes all
files not under version control).  Otherwise reinstall numpy.

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

from . import umath
from . import _internal  # for freeze programs
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

__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__


from numpy.testing import _numpy_tester
test = _numpy_tester().test
bench = _numpy_tester().bench

# 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 sys
if sys.version_info[0] >= 3:
    import copyreg
else:
    import copy_reg as copyreg

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