155 lines
4.8 KiB
Python
155 lines
4.8 KiB
Python
"""
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Contains the core of NumPy: ndarray, ufuncs, dtypes, etc.
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Please note that this module is private. All functions and objects
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are available in the main ``numpy`` namespace - use that instead.
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"""
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from __future__ import division, absolute_import, print_function
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from numpy.version import version as __version__
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import os
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# disables OpenBLAS affinity setting of the main thread that limits
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# python threads or processes to one core
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env_added = []
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for envkey in ['OPENBLAS_MAIN_FREE', 'GOTOBLAS_MAIN_FREE']:
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if envkey not in os.environ:
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os.environ[envkey] = '1'
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env_added.append(envkey)
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try:
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from . import multiarray
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except ImportError as exc:
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import sys
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msg = """
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IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!
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Importing the numpy c-extensions failed.
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- Try uninstalling and reinstalling numpy.
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- If you have already done that, then:
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1. Check that you expected to use Python%d.%d from "%s",
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and that you have no directories in your PATH or PYTHONPATH that can
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interfere with the Python and numpy version "%s" you're trying to use.
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2. If (1) looks fine, you can open a new issue at
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https://github.com/numpy/numpy/issues. Please include details on:
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- how you installed Python
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- how you installed numpy
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- your operating system
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- whether or not you have multiple versions of Python installed
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- if you built from source, your compiler versions and ideally a build log
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- If you're working with a numpy git repository, try `git clean -xdf`
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(removes all files not under version control) and rebuild numpy.
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Note: this error has many possible causes, so please don't comment on
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an existing issue about this - open a new one instead.
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Original error was: %s
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""" % (sys.version_info[0], sys.version_info[1], sys.executable,
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__version__, exc)
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raise ImportError(msg)
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finally:
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for envkey in env_added:
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del os.environ[envkey]
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del envkey
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del env_added
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del os
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from . import umath
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# Check that multiarray,umath are pure python modules wrapping
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# _multiarray_umath and not either of the old c-extension modules
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if not (hasattr(multiarray, '_multiarray_umath') and
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hasattr(umath, '_multiarray_umath')):
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import sys
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path = sys.modules['numpy'].__path__
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msg = ("Something is wrong with the numpy installation. "
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"While importing we detected an older version of "
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"numpy in {}. One method of fixing this is to repeatedly uninstall "
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"numpy until none is found, then reinstall this version.")
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raise ImportError(msg.format(path))
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from . import numerictypes as nt
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multiarray.set_typeDict(nt.sctypeDict)
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from . import numeric
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from .numeric import *
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from . import fromnumeric
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from .fromnumeric import *
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from . import defchararray as char
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from . import records as rec
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from .records import *
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from .memmap import *
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from .defchararray import chararray
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from . import function_base
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from .function_base import *
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from . import machar
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from .machar import *
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from . import getlimits
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from .getlimits import *
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from . import shape_base
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from .shape_base import *
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from . import einsumfunc
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from .einsumfunc import *
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del nt
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from .fromnumeric import amax as max, amin as min, round_ as round
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from .numeric import absolute as abs
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# do this after everything else, to minimize the chance of this misleadingly
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# appearing in an import-time traceback
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from . import _add_newdocs
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# add these for module-freeze analysis (like PyInstaller)
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from . import _dtype_ctypes
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from . import _internal
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from . import _dtype
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from . import _methods
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__all__ = ['char', 'rec', 'memmap']
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__all__ += numeric.__all__
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__all__ += fromnumeric.__all__
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__all__ += rec.__all__
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__all__ += ['chararray']
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__all__ += function_base.__all__
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__all__ += machar.__all__
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__all__ += getlimits.__all__
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__all__ += shape_base.__all__
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__all__ += einsumfunc.__all__
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# Make it possible so that ufuncs can be pickled
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# Here are the loading and unloading functions
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# The name numpy.core._ufunc_reconstruct must be
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# available for unpickling to work.
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def _ufunc_reconstruct(module, name):
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# The `fromlist` kwarg is required to ensure that `mod` points to the
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# inner-most module rather than the parent package when module name is
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# nested. This makes it possible to pickle non-toplevel ufuncs such as
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# scipy.special.expit for instance.
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mod = __import__(module, fromlist=[name])
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return getattr(mod, name)
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def _ufunc_reduce(func):
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from pickle import whichmodule
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name = func.__name__
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return _ufunc_reconstruct, (whichmodule(func, name), name)
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import sys
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if sys.version_info[0] >= 3:
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import copyreg
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else:
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import copy_reg as copyreg
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copyreg.pickle(ufunc, _ufunc_reduce, _ufunc_reconstruct)
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# Unclutter namespace (must keep _ufunc_reconstruct for unpickling)
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del copyreg
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del sys
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del _ufunc_reduce
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from numpy._pytesttester import PytestTester
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test = PytestTester(__name__)
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del PytestTester
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