Coverage for /var/srv/projects/api.amasfac.comuna18.com/tmp/venv/lib/python3.9/site-packages/numpy/core/__init__.py: 74%
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1"""
2Contains the core of NumPy: ndarray, ufuncs, dtypes, etc.
4Please note that this module is private. All functions and objects
5are available in the main ``numpy`` namespace - use that instead.
7"""
9from numpy.version import version as __version__
11import os
12import warnings
14# disables OpenBLAS affinity setting of the main thread that limits
15# python threads or processes to one core
16env_added = []
17for envkey in ['OPENBLAS_MAIN_FREE', 'GOTOBLAS_MAIN_FREE']:
18 if envkey not in os.environ: 18 ↛ 17line 18 didn't jump to line 17, because the condition on line 18 was never false
19 os.environ[envkey] = '1'
20 env_added.append(envkey)
22try:
23 from . import multiarray
24except ImportError as exc:
25 import sys
26 msg = """
28IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!
30Importing the numpy C-extensions failed. This error can happen for
31many reasons, often due to issues with your setup or how NumPy was
32installed.
34We have compiled some common reasons and troubleshooting tips at:
36 https://numpy.org/devdocs/user/troubleshooting-importerror.html
38Please note and check the following:
40 * The Python version is: Python%d.%d from "%s"
41 * The NumPy version is: "%s"
43and make sure that they are the versions you expect.
44Please carefully study the documentation linked above for further help.
46Original error was: %s
47""" % (sys.version_info[0], sys.version_info[1], sys.executable,
48 __version__, exc)
49 raise ImportError(msg)
50finally:
51 for envkey in env_added:
52 del os.environ[envkey]
53del envkey
54del env_added
55del os
57from . import umath
59# Check that multiarray,umath are pure python modules wrapping
60# _multiarray_umath and not either of the old c-extension modules
61if not (hasattr(multiarray, '_multiarray_umath') and 61 ↛ 63line 61 didn't jump to line 63, because the condition on line 61 was never true
62 hasattr(umath, '_multiarray_umath')):
63 import sys
64 path = sys.modules['numpy'].__path__
65 msg = ("Something is wrong with the numpy installation. "
66 "While importing we detected an older version of "
67 "numpy in {}. One method of fixing this is to repeatedly uninstall "
68 "numpy until none is found, then reinstall this version.")
69 raise ImportError(msg.format(path))
71from . import numerictypes as nt
72multiarray.set_typeDict(nt.sctypeDict)
73from . import numeric
74from .numeric import *
75from . import fromnumeric
76from .fromnumeric import *
77from . import defchararray as char
78from . import records as rec
79from .records import record, recarray, format_parser
80from .memmap import *
81from .defchararray import chararray
82from . import function_base
83from .function_base import *
84from . import _machar
85from ._machar import *
86from . import getlimits
87from .getlimits import *
88from . import shape_base
89from .shape_base import *
90from . import einsumfunc
91from .einsumfunc import *
92del nt
94from .fromnumeric import amax as max, amin as min, round_ as round
95from .numeric import absolute as abs
97# do this after everything else, to minimize the chance of this misleadingly
98# appearing in an import-time traceback
99from . import _add_newdocs
100from . import _add_newdocs_scalars
101# add these for module-freeze analysis (like PyInstaller)
102from . import _dtype_ctypes
103from . import _internal
104from . import _dtype
105from . import _methods
107__all__ = ['char', 'rec', 'memmap']
108__all__ += numeric.__all__
109__all__ += ['record', 'recarray', 'format_parser']
110__all__ += ['chararray']
111__all__ += function_base.__all__
112__all__ += getlimits.__all__
113__all__ += shape_base.__all__
114__all__ += einsumfunc.__all__
116# We used to use `np.core._ufunc_reconstruct` to unpickle. This is unnecessary,
117# but old pickles saved before 1.20 will be using it, and there is no reason
118# to break loading them.
119def _ufunc_reconstruct(module, name):
120 # The `fromlist` kwarg is required to ensure that `mod` points to the
121 # inner-most module rather than the parent package when module name is
122 # nested. This makes it possible to pickle non-toplevel ufuncs such as
123 # scipy.special.expit for instance.
124 mod = __import__(module, fromlist=[name])
125 return getattr(mod, name)
128def _ufunc_reduce(func):
129 # Report the `__name__`. pickle will try to find the module. Note that
130 # pickle supports for this `__name__` to be a `__qualname__`. It may
131 # make sense to add a `__qualname__` to ufuncs, to allow this more
132 # explicitly (Numba has ufuncs as attributes).
133 # See also: https://github.com/dask/distributed/issues/3450
134 return func.__name__
137def _DType_reconstruct(scalar_type):
138 # This is a work-around to pickle type(np.dtype(np.float64)), etc.
139 # and it should eventually be replaced with a better solution, e.g. when
140 # DTypes become HeapTypes.
141 return type(dtype(scalar_type))
144def _DType_reduce(DType):
145 # To pickle a DType without having to add top-level names, pickle the
146 # scalar type for now (and assume that reconstruction will be possible).
147 if DType is dtype:
148 return "dtype" # must pickle `np.dtype` as a singleton.
149 scalar_type = DType.type # pickle the scalar type for reconstruction
150 return _DType_reconstruct, (scalar_type,)
153def __getattr__(name):
154 # Deprecated 2021-10-20, NumPy 1.22
155 if name == "machar":
156 warnings.warn(
157 "The `np.core.machar` module is deprecated (NumPy 1.22)",
158 DeprecationWarning, stacklevel=2,
159 )
160 return _machar
161 raise AttributeError(f"Module {__name__!r} has no attribute {name!r}")
164import copyreg
166copyreg.pickle(ufunc, _ufunc_reduce)
167copyreg.pickle(type(dtype), _DType_reduce, _DType_reconstruct)
169# Unclutter namespace (must keep _*_reconstruct for unpickling)
170del copyreg
171del _ufunc_reduce
172del _DType_reduce
174from numpy._pytesttester import PytestTester
175test = PytestTester(__name__)
176del PytestTester