107 lines
3.0 KiB
Python
107 lines
3.0 KiB
Python
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
|