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python37
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lib64
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python3.7
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site-packages
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numpy
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core
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..
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__init__.py
(2.97 KB)
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__pycache__
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_dummy.cpython-37m-x86_64-linux-gnu.so
(16.16 KB)
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_internal.py
(20.87 KB)
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_methods.py
(4.59 KB)
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arrayprint.py
(28.53 KB)
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cversions.py
(413 B)
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defchararray.py
(65.81 KB)
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einsumfunc.py
(34.7 KB)
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fromnumeric.py
(96.66 KB)
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function_base.py
(11.82 KB)
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generate_numpy_api.py
(7.16 KB)
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getlimits.py
(17.99 KB)
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include
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info.py
(4.58 KB)
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lib
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machar.py
(10.54 KB)
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memmap.py
(11.16 KB)
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multiarray.cpython-37m-x86_64-linux-gnu.so
(6.66 MB)
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multiarray_tests.cpython-37m-x86_64-linux-gnu.so
(196.9 KB)
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numeric.py
(89.49 KB)
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numerictypes.py
(28.11 KB)
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operand_flag_tests.cpython-37m-x86_64-linux-gnu.so
(29.91 KB)
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records.py
(28.73 KB)
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setup.py
(39.85 KB)
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setup_common.py
(14.93 KB)
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shape_base.py
(18.63 KB)
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struct_ufunc_test.cpython-37m-x86_64-linux-gnu.so
(30.48 KB)
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test_rational.cpython-37m-x86_64-linux-gnu.so
(166.43 KB)
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tests
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umath.cpython-37m-x86_64-linux-gnu.so
(4.06 MB)
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umath_tests.cpython-37m-x86_64-linux-gnu.so
(60.85 KB)
Editing: __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) 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.nosetester 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
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