file_path stringlengths 32 153 | content stringlengths 0 3.14M |
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omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_exec_command.py | import os
import sys
from tempfile import TemporaryFile
from numpy.distutils import exec_command
from numpy.distutils.exec_command import get_pythonexe
from numpy.testing import tempdir, assert_, assert_warns
# In python 3 stdout, stderr are text (unicode compliant) devices, so to
# emulate them import StringIO from ... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_log.py | import io
import re
from contextlib import redirect_stdout
import pytest
from numpy.distutils import log
def setup_module():
f = io.StringIO() # changing verbosity also logs here, capture that
with redirect_stdout(f):
log.set_verbosity(2, force=True) # i.e. DEBUG
def teardown_module():
log.s... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_from_template.py |
from numpy.distutils.from_template import process_str
from numpy.testing import assert_equal
pyf_src = """
python module foo
<_rd=real,double precision>
interface
subroutine <s,d>foosub(tol)
<_rd>, intent(in,out) :: tol
end subroutine <s,d>foosub
end interface
end python modul... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_system_info.py | import os
import shutil
import pytest
from tempfile import mkstemp, mkdtemp
from subprocess import Popen, PIPE
from distutils.errors import DistutilsError
from numpy.testing import assert_, assert_equal, assert_raises
from numpy.distutils import ccompiler, customized_ccompiler
from numpy.distutils.system_info import s... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/__init__.py | |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_fcompiler_intel.py | import numpy.distutils.fcompiler
from numpy.testing import assert_
intel_32bit_version_strings = [
("Intel(R) Fortran Intel(R) 32-bit Compiler Professional for applications"
"running on Intel(R) 32, Version 11.1", '11.1'),
]
intel_64bit_version_strings = [
("Intel(R) Fortran IA-64 Compiler Professional ... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_fcompiler_nagfor.py | from numpy.testing import assert_
import numpy.distutils.fcompiler
nag_version_strings = [('nagfor', 'NAG Fortran Compiler Release '
'6.2(Chiyoda) Build 6200', '6.2'),
('nagfor', 'NAG Fortran Compiler Release '
'6.1(Tozai) Build 6136', '6.1'),
... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_mingw32ccompiler.py | import shutil
import subprocess
import sys
import pytest
from numpy.distutils import mingw32ccompiler
@pytest.mark.skipif(sys.platform != 'win32', reason='win32 only test')
def test_build_import():
'''Test the mingw32ccompiler.build_import_library, which builds a
`python.a` from the MSVC `python.lib`
'''... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_build_ext.py | '''Tests for numpy.distutils.build_ext.'''
import os
import subprocess
import sys
from textwrap import indent, dedent
import pytest
@pytest.mark.slow
def test_multi_fortran_libs_link(tmp_path):
'''
Ensures multiple "fake" static libraries are correctly linked.
see gh-18295
'''
# We need to make s... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_ccompiler_opt_conf.py | import unittest
from os import sys, path
is_standalone = __name__ == '__main__' and __package__ is None
if is_standalone:
sys.path.append(path.abspath(path.join(path.dirname(__file__), "..")))
from ccompiler_opt import CCompilerOpt
else:
from numpy.distutils.ccompiler_opt import CCompilerOpt
arch_compiler... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_fcompiler_gnu.py | from numpy.testing import assert_
import numpy.distutils.fcompiler
g77_version_strings = [
('GNU Fortran 0.5.25 20010319 (prerelease)', '0.5.25'),
('GNU Fortran (GCC 3.2) 3.2 20020814 (release)', '3.2'),
('GNU Fortran (GCC) 3.3.3 20040110 (prerelease) (Debian)', '3.3.3'),
('GNU Fortran (GCC) 3.3.3 (De... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_shell_utils.py | import pytest
import subprocess
import json
import sys
from numpy.distutils import _shell_utils
argv_cases = [
[r'exe'],
[r'path/exe'],
[r'path\exe'],
[r'\\server\path\exe'],
[r'path to/exe'],
[r'path to\exe'],
[r'exe', '--flag'],
[r'path/exe', '--flag'],
[r'path\exe', '--flag'],
... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_misc_util.py | from os.path import join, sep, dirname
from numpy.distutils.misc_util import (
appendpath, minrelpath, gpaths, get_shared_lib_extension, get_info
)
from numpy.testing import (
assert_, assert_equal
)
ajoin = lambda *paths: join(*((sep,)+paths))
class TestAppendpath:
def test_1(self):
ass... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_fcompiler.py | from numpy.testing import assert_
import numpy.distutils.fcompiler
customizable_flags = [
('f77', 'F77FLAGS'),
('f90', 'F90FLAGS'),
('free', 'FREEFLAGS'),
('arch', 'FARCH'),
('debug', 'FDEBUG'),
('flags', 'FFLAGS'),
('linker_so', 'LDFLAGS'),
]
def test_fcompiler_flags(monkeypatch):
mo... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/distutils/tests/test_npy_pkg_config.py | import os
from numpy.distutils.npy_pkg_config import read_config, parse_flags
from numpy.testing import temppath, assert_
simple = """\
[meta]
Name = foo
Description = foo lib
Version = 0.1
[default]
cflags = -I/usr/include
libs = -L/usr/lib
"""
simple_d = {'cflags': '-I/usr/include', 'libflags': '-L/usr/lib',
... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/doc/constants.py | """
=========
Constants
=========
.. currentmodule:: numpy
NumPy includes several constants:
%(constant_list)s
"""
#
# Note: the docstring is autogenerated.
#
import re
import textwrap
# Maintain same format as in numpy.add_newdocs
constants = []
def add_newdoc(module, name, doc):
constants.append((name, doc))
... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/doc/__init__.py | import os
ref_dir = os.path.join(os.path.dirname(__file__))
__all__ = sorted(f[:-3] for f in os.listdir(ref_dir) if f.endswith('.py') and
not f.startswith('__'))
for f in __all__:
__import__(__name__ + '.' + f)
del f, ref_dir
__doc__ = """\
Topical documentation
=====================
The following ... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/doc/ufuncs.py | """
===================
Universal Functions
===================
Ufuncs are, generally speaking, mathematical functions or operations that are
applied element-by-element to the contents of an array. That is, the result
in each output array element only depends on the value in the corresponding
input array (or arrays) a... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/shape_base.pyi | from collections.abc import Sequence
from typing import TypeVar, overload, Any, SupportsIndex
from numpy import generic
from numpy._typing import ArrayLike, NDArray, _ArrayLike
_SCT = TypeVar("_SCT", bound=generic)
_ArrayType = TypeVar("_ArrayType", bound=NDArray[Any])
__all__: list[str]
@overload
def atleast_1d(ar... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/multiarray.py | """
Create the numpy.core.multiarray namespace for backward compatibility. In v1.16
the multiarray and umath c-extension modules were merged into a single
_multiarray_umath extension module. So we replicate the old namespace
by importing from the extension module.
"""
import functools
from . import overrides
from . i... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/fromnumeric.pyi | import datetime as dt
from collections.abc import Sequence
from typing import Union, Any, overload, TypeVar, Literal, SupportsIndex
from numpy import (
ndarray,
number,
uint64,
int_,
int64,
intp,
float16,
bool_,
floating,
complexfloating,
object_,
generic,
_OrderKACF... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/records.pyi | import os
from collections.abc import Sequence, Iterable
from typing import (
Any,
TypeVar,
overload,
Protocol,
)
from numpy import (
format_parser as format_parser,
record as record,
recarray as recarray,
dtype,
generic,
void,
_ByteOrder,
_SupportsBuffer,
)
from numpy.... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/setup_common.py | # Code common to build tools
import copy
import pathlib
import sys
import textwrap
import warnings
from numpy.distutils.misc_util import mingw32
#-------------------
# Versioning support
#-------------------
# How to change C_API_VERSION ?
# - increase C_API_VERSION value
# - record the hash for the new C API wi... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/generate_numpy_api.py | import os
import genapi
from genapi import \
TypeApi, GlobalVarApi, FunctionApi, BoolValuesApi
import numpy_api
# use annotated api when running under cpychecker
h_template = r"""
#if defined(_MULTIARRAYMODULE) || defined(WITH_CPYCHECKER_STEALS_REFERENCE_TO_ARG_ATTRIBUTE)
typedef struct {
PyObject_H... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/records.py | """
Record Arrays
=============
Record arrays expose the fields of structured arrays as properties.
Most commonly, ndarrays contain elements of a single type, e.g. floats,
integers, bools etc. However, it is possible for elements to be combinations
of these using structured types, such as::
>>> a = np.array([(1, 2... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/numeric.pyi | from collections.abc import Callable, Sequence
from typing import (
Any,
overload,
TypeVar,
Literal,
SupportsAbs,
SupportsIndex,
NoReturn,
)
from typing_extensions import TypeGuard
from numpy import (
ComplexWarning as ComplexWarning,
generic,
unsignedinteger,
signedinteger,... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/_internal.py | """
A place for internal code
Some things are more easily handled Python.
"""
import ast
import re
import sys
import platform
import warnings
from .multiarray import dtype, array, ndarray, promote_types
try:
import ctypes
except ImportError:
ctypes = None
IS_PYPY = platform.python_implementation() == 'PyPy'... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/umath_tests.py | """
Shim for _umath_tests to allow a deprecation period for the new name.
"""
import warnings
# 2018-04-04, numpy 1.15.0
warnings.warn(("numpy.core.umath_tests is an internal NumPy "
"module and should not be imported. It will "
"be removed in a future NumPy release."),
cat... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/umath.py | """
Create the numpy.core.umath namespace for backward compatibility. In v1.16
the multiarray and umath c-extension modules were merged into a single
_multiarray_umath extension module. So we replicate the old namespace
by importing from the extension module.
"""
from . import _multiarray_umath
from ._multiarray_umat... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/overrides.py | """Implementation of __array_function__ overrides from NEP-18."""
import collections
import functools
import os
from numpy.core._multiarray_umath import (
add_docstring, implement_array_function, _get_implementing_args)
from numpy.compat._inspect import getargspec
ARRAY_FUNCTION_ENABLED = bool(
int(os.enviro... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/_ufunc_config.py | """
Functions for changing global ufunc configuration
This provides helpers which wrap `umath.geterrobj` and `umath.seterrobj`
"""
import collections.abc
import contextlib
from .overrides import set_module
from .umath import (
UFUNC_BUFSIZE_DEFAULT,
ERR_IGNORE, ERR_WARN, ERR_RAISE, ERR_CALL, ERR_PRINT, ERR_LO... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/fromnumeric.py | """Module containing non-deprecated functions borrowed from Numeric.
"""
import functools
import types
import warnings
import numpy as np
from . import multiarray as mu
from . import overrides
from . import umath as um
from . import numerictypes as nt
from .multiarray import asarray, array, asanyarray, concatenate
fr... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/defchararray.pyi | from typing import (
Literal as L,
overload,
TypeVar,
Any,
)
from numpy import (
chararray as chararray,
dtype,
str_,
bytes_,
int_,
bool_,
object_,
_OrderKACF,
)
from numpy._typing import (
NDArray,
_ArrayLikeStr_co as U_co,
_ArrayLikeBytes_co as S_co,
_... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/arrayprint.py | """Array printing function
$Id: arrayprint.py,v 1.9 2005/09/13 13:58:44 teoliphant Exp $
"""
__all__ = ["array2string", "array_str", "array_repr", "set_string_function",
"set_printoptions", "get_printoptions", "printoptions",
"format_float_positional", "format_float_scientific"]
__docformat__ = ... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/_internal.pyi | from typing import Any, TypeVar, overload, Generic
import ctypes as ct
from numpy import ndarray
from numpy.ctypeslib import c_intp
_CastT = TypeVar("_CastT", bound=ct._CanCastTo) # Copied from `ctypes.cast`
_CT = TypeVar("_CT", bound=ct._CData)
_PT = TypeVar("_PT", bound=None | int)
# TODO: Let the likes of `shape... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/numeric.py | import functools
import itertools
import operator
import sys
import warnings
import numbers
import numpy as np
from . import multiarray
from .multiarray import (
_fastCopyAndTranspose as fastCopyAndTranspose, ALLOW_THREADS,
BUFSIZE, CLIP, MAXDIMS, MAY_SHARE_BOUNDS, MAY_SHARE_EXACT, RAISE,
WRAP, arange, arr... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/getlimits.pyi | from numpy import (
finfo as finfo,
iinfo as iinfo,
)
__all__: list[str]
|
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/function_base.pyi | from typing import (
Literal as L,
overload,
Any,
SupportsIndex,
TypeVar,
)
from numpy import floating, complexfloating, generic
from numpy._typing import (
NDArray,
DTypeLike,
_DTypeLike,
_ArrayLikeFloat_co,
_ArrayLikeComplex_co,
)
_SCT = TypeVar("_SCT", bound=generic)
__all_... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/_asarray.pyi | from collections.abc import Iterable
from typing import TypeVar, Union, overload, Literal
from numpy import ndarray
from numpy._typing import DTypeLike, _SupportsArrayFunc
_ArrayType = TypeVar("_ArrayType", bound=ndarray)
_Requirements = Literal[
"C", "C_CONTIGUOUS", "CONTIGUOUS",
"F", "F_CONTIGUOUS", "FORTR... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/getlimits.py | """Machine limits for Float32 and Float64 and (long double) if available...
"""
__all__ = ['finfo', 'iinfo']
import warnings
from ._machar import MachAr
from .overrides import set_module
from . import numeric
from . import numerictypes as ntypes
from .numeric import array, inf, NaN
from .umath import log10, exp2, ne... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/einsumfunc.pyi | from collections.abc import Sequence
from typing import TypeVar, Any, overload, Union, Literal
from numpy import (
ndarray,
dtype,
bool_,
unsignedinteger,
signedinteger,
floating,
complexfloating,
number,
_OrderKACF,
)
from numpy._typing import (
_ArrayLikeBool_co,
_ArrayLik... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/_asarray.py | """
Functions in the ``as*array`` family that promote array-likes into arrays.
`require` fits this category despite its name not matching this pattern.
"""
from .overrides import (
array_function_dispatch,
set_array_function_like_doc,
set_module,
)
from .multiarray import array, asanyarray
__all__ = ["re... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/__init__.py | """
Contains the core of NumPy: ndarray, ufuncs, dtypes, etc.
Please note that this module is private. All functions and objects
are available in the main ``numpy`` namespace - use that instead.
"""
from numpy.version import version as __version__
import os
import warnings
# disables OpenBLAS affinity setting of ... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/_exceptions.py | """
Various richly-typed exceptions, that also help us deal with string formatting
in python where it's easier.
By putting the formatting in `__str__`, we also avoid paying the cost for
users who silence the exceptions.
"""
from numpy.core.overrides import set_module
def _unpack_tuple(tup):
if len(tup) == 1:
... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/einsumfunc.py | """
Implementation of optimized einsum.
"""
import itertools
import operator
from numpy.core.multiarray import c_einsum
from numpy.core.numeric import asanyarray, tensordot
from numpy.core.overrides import array_function_dispatch
__all__ = ['einsum', 'einsum_path']
einsum_symbols = 'abcdefghijklmnopqrstuvwxyzABCDEF... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/_dtype_ctypes.py | """
Conversion from ctypes to dtype.
In an ideal world, we could achieve this through the PEP3118 buffer protocol,
something like::
def dtype_from_ctypes_type(t):
# needed to ensure that the shape of `t` is within memoryview.format
class DummyStruct(ctypes.Structure):
_fields_ = [('a',... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/_add_newdocs.py | """
This is only meant to add docs to objects defined in C-extension modules.
The purpose is to allow easier editing of the docstrings without
requiring a re-compile.
NOTE: Many of the methods of ndarray have corresponding functions.
If you update these docstrings, please keep also the ones in
core/fromnum... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/function_base.py | import functools
import warnings
import operator
import types
from . import numeric as _nx
from .numeric import result_type, NaN, asanyarray, ndim
from numpy.core.multiarray import add_docstring
from numpy.core import overrides
__all__ = ['logspace', 'linspace', 'geomspace']
array_function_dispatch = functools.part... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/memmap.py | from contextlib import nullcontext
import numpy as np
from .numeric import uint8, ndarray, dtype
from numpy.compat import os_fspath, is_pathlib_path
from numpy.core.overrides import set_module
__all__ = ['memmap']
dtypedescr = dtype
valid_filemodes = ["r", "c", "r+", "w+"]
writeable_filemodes = ["r+", "w+"]
mode_eq... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/setup.py | import os
import sys
import sysconfig
import pickle
import copy
import warnings
import textwrap
import glob
from os.path import join
from numpy.distutils import log
from distutils.dep_util import newer
from sysconfig import get_config_var
from numpy.compat import npy_load_module
from setup_common import * # noqa: F40... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/arrayprint.pyi | from types import TracebackType
from collections.abc import Callable
from typing import Any, Literal, TypedDict, SupportsIndex
# Using a private class is by no means ideal, but it is simply a consequence
# of a `contextlib.context` returning an instance of aforementioned class
from contextlib import _GeneratorContextM... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/_add_newdocs_scalars.py | """
This file is separate from ``_add_newdocs.py`` so that it can be mocked out by
our sphinx ``conf.py`` during doc builds, where we want to avoid showing
platform-dependent information.
"""
from numpy.core import dtype
from numpy.core import numerictypes as _numerictypes
from numpy.core.function_base import add_newdo... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/numerictypes.pyi | import sys
import types
from collections.abc import Iterable
from typing import (
Literal as L,
Union,
overload,
Any,
TypeVar,
Protocol,
TypedDict,
)
from numpy import (
ndarray,
dtype,
generic,
bool_,
ubyte,
ushort,
uintc,
uint,
ulonglong,
byte,
... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/defchararray.py | """
This module contains a set of functions for vectorized string
operations and methods.
.. note::
The `chararray` class exists for backwards compatibility with
Numarray, it is not recommended for new development. Starting from numpy
1.4, if one needs arrays of strings, it is recommended to use arrays of
... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/multiarray.pyi | # TODO: Sort out any and all missing functions in this namespace
import os
import datetime as dt
from collections.abc import Sequence, Callable, Iterable
from typing import (
Literal as L,
Any,
overload,
TypeVar,
SupportsIndex,
final,
Final,
Protocol,
)
from numpy import (
# Re-exp... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/cversions.py | """Simple script to compute the api hash of the current API.
The API has is defined by numpy_api_order and ufunc_api_order.
"""
from os.path import dirname
from code_generators.genapi import fullapi_hash
from code_generators.numpy_api import full_api
if __name__ == '__main__':
curdir = dirname(__file__)
pri... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/_type_aliases.pyi | from typing import TypedDict
from numpy import generic, signedinteger, unsignedinteger, floating, complexfloating
class _SCTypes(TypedDict):
int: list[type[signedinteger]]
uint: list[type[unsignedinteger]]
float: list[type[floating]]
complex: list[type[complexfloating]]
others: list[type]
sctypeD... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/memmap.pyi | from numpy import memmap as memmap
__all__: list[str]
|
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/_ufunc_config.pyi | from collections.abc import Callable
from typing import Any, Literal, TypedDict
from numpy import _SupportsWrite
_ErrKind = Literal["ignore", "warn", "raise", "call", "print", "log"]
_ErrFunc = Callable[[str, int], Any]
class _ErrDict(TypedDict):
divide: _ErrKind
over: _ErrKind
under: _ErrKind
invali... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/_dtype.py | """
A place for code to be called from the implementation of np.dtype
String handling is much easier to do correctly in python.
"""
import numpy as np
_kind_to_stem = {
'u': 'uint',
'i': 'int',
'c': 'complex',
'f': 'float',
'b': 'bool',
'V': 'void',
'O': 'object',
'M': 'datetime',
... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/__init__.pyi | # NOTE: The `np.core` namespace is deliberately kept empty due to it
# being private (despite the lack of leading underscore)
|
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/_machar.py | """
Machine arithmetic - determine the parameters of the
floating-point arithmetic system
Author: Pearu Peterson, September 2003
"""
__all__ = ['MachAr']
from numpy.core.fromnumeric import any
from numpy.core._ufunc_config import errstate
from numpy.core.overrides import set_module
# Need to speed this up...especia... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/shape_base.py | __all__ = ['atleast_1d', 'atleast_2d', 'atleast_3d', 'block', 'hstack',
'stack', 'vstack']
import functools
import itertools
import operator
import warnings
from . import numeric as _nx
from . import overrides
from .multiarray import array, asanyarray, normalize_axis_index
from . import fromnumeric as _fro... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/_type_aliases.py | """
Due to compatibility, numpy has a very large number of different naming
conventions for the scalar types (those subclassing from `numpy.generic`).
This file produces a convoluted set of dictionaries mapping names to types,
and sometimes other mappings too.
.. data:: allTypes
A dictionary of names to types that... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/numerictypes.py | """
numerictypes: Define the numeric type objects
This module is designed so "from numerictypes import \\*" is safe.
Exported symbols include:
Dictionary with all registered number types (including aliases):
sctypeDict
Type objects (not all will be available, depends on platform):
see variable sctypes ... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/_methods.py | """
Array methods which are called by both the C-code for the method
and the Python code for the NumPy-namespace function
"""
import warnings
from contextlib import nullcontext
from numpy.core import multiarray as mu
from numpy.core import umath as um
from numpy.core.multiarray import asanyarray
from numpy.core impor... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/_string_helpers.py | """
String-handling utilities to avoid locale-dependence.
Used primarily to generate type name aliases.
"""
# "import string" is costly to import!
# Construct the translation tables directly
# "A" = chr(65), "a" = chr(97)
_all_chars = [chr(_m) for _m in range(256)]
_ascii_upper = _all_chars[65:65+26]
_ascii_lower = ... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/npy_cpu.h | /*
* This set (target) cpu specific macros:
* - Possible values:
* NPY_CPU_X86
* NPY_CPU_AMD64
* NPY_CPU_PPC
* NPY_CPU_PPC64
* NPY_CPU_PPC64LE
* NPY_CPU_SPARC
* NPY_CPU_S390
* NPY_CPU_IA64
* ... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/old_defines.h | /* This header is deprecated as of NumPy 1.7 */
#ifndef NUMPY_CORE_INCLUDE_NUMPY_OLD_DEFINES_H_
#define NUMPY_CORE_INCLUDE_NUMPY_OLD_DEFINES_H_
#if defined(NPY_NO_DEPRECATED_API) && NPY_NO_DEPRECATED_API >= NPY_1_7_API_VERSION
#error The header "old_defines.h" is deprecated as of NumPy 1.7.
#endif
#define NDARRAY_VER... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/experimental_dtype_api.h | /*
* This header exports the new experimental DType API as proposed in
* NEPs 41 to 43. For background, please check these NEPs. Otherwise,
* this header also serves as documentation for the time being.
*
* Please do not hesitate to contact @seberg with questions. This is
* developed together with https://gith... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/__ufunc_api.h |
#ifdef _UMATHMODULE
extern NPY_NO_EXPORT PyTypeObject PyUFunc_Type;
extern NPY_NO_EXPORT PyTypeObject PyUFunc_Type;
NPY_NO_EXPORT PyObject * PyUFunc_FromFuncAndData \
(PyUFuncGenericFunction *, void **, char *, int, int, int, int, const char *, const char *, int);
NPY_NO_EXPORT int PyUFunc_RegisterLoopForT... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/arrayobject.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_ARRAYOBJECT_H_
#define NUMPY_CORE_INCLUDE_NUMPY_ARRAYOBJECT_H_
#define Py_ARRAYOBJECT_H
#include "ndarrayobject.h"
#include "npy_interrupt.h"
#ifdef NPY_NO_PREFIX
#include "noprefix.h"
#endif
#endif /* NUMPY_CORE_INCLUDE_NUMPY_ARRAYOBJECT_H_ */
|
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/npy_endian.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_NPY_ENDIAN_H_
#define NUMPY_CORE_INCLUDE_NUMPY_NPY_ENDIAN_H_
/*
* NPY_BYTE_ORDER is set to the same value as BYTE_ORDER set by glibc in
* endian.h
*/
#if defined(NPY_HAVE_ENDIAN_H) || defined(NPY_HAVE_SYS_ENDIAN_H)
/* Use endian.h if available */
#if defined(NPY_HAVE_ENDIA... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/_numpyconfig.h | #define NPY_SIZEOF_SHORT SIZEOF_SHORT
#define NPY_SIZEOF_INT SIZEOF_INT
#define NPY_SIZEOF_LONG SIZEOF_LONG
#define NPY_SIZEOF_FLOAT 4
#define NPY_SIZEOF_COMPLEX_FLOAT 8
#define NPY_SIZEOF_DOUBLE 8
#define NPY_SIZEOF_COMPLEX_DOUBLE 16
#define NPY_SIZEOF_LONGDOUBLE 8
#define NPY_SIZEOF_COMPLEX_LONGDOUBLE 16
#define NPY_... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/npy_math.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_NPY_MATH_H_
#define NUMPY_CORE_INCLUDE_NUMPY_NPY_MATH_H_
#include <numpy/npy_common.h>
#include <math.h>
#ifdef __SUNPRO_CC
#include <sunmath.h>
#endif
/* By adding static inline specifiers to npy_math function definitions when
appropriate, compiler is given the opportunity to opt... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/npy_3kcompat.h | /*
* This is a convenience header file providing compatibility utilities
* for supporting different minor versions of Python 3.
* It was originally used to support the transition from Python 2,
* hence the "3k" naming.
*
* If you want to use this for your own projects, it's recommended to make a
* copy of it. Al... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/ndarraytypes.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_NDARRAYTYPES_H_
#define NUMPY_CORE_INCLUDE_NUMPY_NDARRAYTYPES_H_
#include "npy_common.h"
#include "npy_endian.h"
#include "npy_cpu.h"
#include "utils.h"
#define NPY_NO_EXPORT NPY_VISIBILITY_HIDDEN
/* Only use thread if configured in config and python supports it */
#if defined WITH_T... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/npy_1_7_deprecated_api.h | #ifndef NPY_DEPRECATED_INCLUDES
#error "Should never include npy_*_*_deprecated_api directly."
#endif
#ifndef NUMPY_CORE_INCLUDE_NUMPY_NPY_1_7_DEPRECATED_API_H_
#define NUMPY_CORE_INCLUDE_NUMPY_NPY_1_7_DEPRECATED_API_H_
/* Emit a warning if the user did not specifically request the old API */
#ifndef NPY_NO_DEPRECATE... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/arrayscalars.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_ARRAYSCALARS_H_
#define NUMPY_CORE_INCLUDE_NUMPY_ARRAYSCALARS_H_
#ifndef _MULTIARRAYMODULE
typedef struct {
PyObject_HEAD
npy_bool obval;
} PyBoolScalarObject;
#endif
typedef struct {
PyObject_HEAD
signed char obval;
} PyByteScalarObject;
typedef str... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/__multiarray_api.h |
#if defined(_MULTIARRAYMODULE) || defined(WITH_CPYCHECKER_STEALS_REFERENCE_TO_ARG_ATTRIBUTE)
typedef struct {
PyObject_HEAD
npy_bool obval;
} PyBoolScalarObject;
extern NPY_NO_EXPORT PyTypeObject PyArrayMapIter_Type;
extern NPY_NO_EXPORT PyTypeObject PyArrayNeighborhoodIter_Type;
extern NPY_NO_EXPORT... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/noprefix.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_NOPREFIX_H_
#define NUMPY_CORE_INCLUDE_NUMPY_NOPREFIX_H_
/*
* You can directly include noprefix.h as a backward
* compatibility measure
*/
#ifndef NPY_NO_PREFIX
#include "ndarrayobject.h"
#include "npy_interrupt.h"
#endif
#define SIGSETJMP NPY_SIGSETJMP
#define SIGLONGJMP NPY_SI... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/npy_interrupt.h | /*
* This API is only provided because it is part of publicly exported
* headers. Its use is considered DEPRECATED, and it will be removed
* eventually.
* (This includes the _PyArray_SigintHandler and _PyArray_GetSigintBuf
* functions which are however, public API, and not headers.)
*
* Instead of using these no... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/utils.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_UTILS_H_
#define NUMPY_CORE_INCLUDE_NUMPY_UTILS_H_
#ifndef __COMP_NPY_UNUSED
#if defined(__GNUC__)
#define __COMP_NPY_UNUSED __attribute__ ((__unused__))
#elif defined(__ICC)
#define __COMP_NPY_UNUSED __attribute__ ((__unused__))
#elif defined(__clang__)
... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/multiarray_api.txt |
===========
NumPy C-API
===========
::
unsigned int
PyArray_GetNDArrayCVersion(void )
Included at the very first so not auto-grabbed and thus not labeled.
::
int
PyArray_SetNumericOps(PyObject *dict)
Set internal structure with number functions that all arrays will use
::
PyObject *
PyArray_GetNume... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/ndarrayobject.h | /*
* DON'T INCLUDE THIS DIRECTLY.
*/
#ifndef NUMPY_CORE_INCLUDE_NUMPY_NDARRAYOBJECT_H_
#define NUMPY_CORE_INCLUDE_NUMPY_NDARRAYOBJECT_H_
#ifdef __cplusplus
extern "C" {
#endif
#include <Python.h>
#include "ndarraytypes.h"
/* Includes the "function" C-API -- these are all stored in a
list of pointers --- one for... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/npy_os.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_NPY_OS_H_
#define NUMPY_CORE_INCLUDE_NUMPY_NPY_OS_H_
#if defined(linux) || defined(__linux) || defined(__linux__)
#define NPY_OS_LINUX
#elif defined(__FreeBSD__) || defined(__NetBSD__) || \
defined(__OpenBSD__) || defined(__DragonFly__)
#define NPY_OS_BSD
#ifdef... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/numpyconfig.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_NPY_NUMPYCONFIG_H_
#define NUMPY_CORE_INCLUDE_NUMPY_NPY_NUMPYCONFIG_H_
#include "_numpyconfig.h"
/*
* On Mac OS X, because there is only one configuration stage for all the archs
* in universal builds, any macro which depends on the arch needs to be
* hardcoded
*/
#ifdef __APPLE__... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/ufuncobject.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_UFUNCOBJECT_H_
#define NUMPY_CORE_INCLUDE_NUMPY_UFUNCOBJECT_H_
#include <numpy/npy_math.h>
#include <numpy/npy_common.h>
#ifdef __cplusplus
extern "C" {
#endif
/*
* The legacy generic inner loop for a standard element-wise or
* generalized ufunc.
*/
typedef void (*PyUFuncGenericFu... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/npy_common.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_NPY_COMMON_H_
#define NUMPY_CORE_INCLUDE_NUMPY_NPY_COMMON_H_
/* need Python.h for npy_intp, npy_uintp */
#include <Python.h>
/* numpconfig.h is auto-generated */
#include "numpyconfig.h"
#ifdef HAVE_NPY_CONFIG_H
#include <npy_config.h>
#endif
/*
* using static inline modifiers when ... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/oldnumeric.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_OLDNUMERIC_H_
#define NUMPY_CORE_INCLUDE_NUMPY_OLDNUMERIC_H_
/* FIXME -- this file can be deleted? */
#include "arrayobject.h"
#ifndef PYPY_VERSION
#ifndef REFCOUNT
# define REFCOUNT NPY_REFCOUNT
# define MAX_ELSIZE 16
#endif
#endif
#define PyArray_UNSIGNED_TYPES
#define PyArray_S... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/halffloat.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_HALFFLOAT_H_
#define NUMPY_CORE_INCLUDE_NUMPY_HALFFLOAT_H_
#include <Python.h>
#include <numpy/npy_math.h>
#ifdef __cplusplus
extern "C" {
#endif
/*
* Half-precision routines
*/
/* Conversions */
float npy_half_to_float(npy_half h);
double npy_half_to_double(npy_half h);
npy_half ... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/_neighborhood_iterator_imp.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY__NEIGHBORHOOD_IMP_H_
#error You should not include this header directly
#endif
/*
* Private API (here for inline)
*/
static NPY_INLINE int
_PyArrayNeighborhoodIter_IncrCoord(PyArrayNeighborhoodIterObject* iter);
/*
* Update to next item of the iterator
*
* Note: this simply increm... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/ufunc_api.txt |
=================
NumPy Ufunc C-API
=================
::
PyObject *
PyUFunc_FromFuncAndData(PyUFuncGenericFunction *func, void
**data, char *types, int ntypes, int nin, int
nout, int identity, const char *name, const
char *doc, int unus... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/npy_no_deprecated_api.h | /*
* This include file is provided for inclusion in Cython *.pyd files where
* one would like to define the NPY_NO_DEPRECATED_API macro. It can be
* included by
*
* cdef extern from "npy_no_deprecated_api.h": pass
*
*/
#ifndef NPY_NO_DEPRECATED_API
/* put this check here since there may be multiple includes in ... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/libdivide/libdivide.h | // libdivide.h - Optimized integer division
// https://libdivide.com
//
// Copyright (C) 2010 - 2019 ridiculous_fish, <libdivide@ridiculousfish.com>
// Copyright (C) 2016 - 2019 Kim Walisch, <kim.walisch@gmail.com>
//
// libdivide is dual-licensed under the Boost or zlib licenses.
// You may use libdivide under the ter... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/libdivide/LICENSE.txt | zlib License
------------
Copyright (C) 2010 - 2019 ridiculous_fish, <libdivide@ridiculousfish.com>
Copyright (C) 2016 - 2019 Kim Walisch, <kim.walisch@gmail.com>
This software is provided 'as-is', without any express or implied
warranty. In no event will the authors be held liable for any damages
aris... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/random/distributions.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_RANDOM_DISTRIBUTIONS_H_
#define NUMPY_CORE_INCLUDE_NUMPY_RANDOM_DISTRIBUTIONS_H_
#ifdef __cplusplus
extern "C" {
#endif
#include <Python.h>
#include "numpy/npy_common.h"
#include <stddef.h>
#include <stdbool.h>
#include <stdint.h>
#include "numpy/npy_math.h"
#include "numpy/random/bi... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/include/numpy/random/bitgen.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_RANDOM_BITGEN_H_
#define NUMPY_CORE_INCLUDE_NUMPY_RANDOM_BITGEN_H_
#pragma once
#include <stddef.h>
#include <stdbool.h>
#include <stdint.h>
/* Must match the declaration in numpy/random/<any>.pxd */
typedef struct bitgen {
void *state;
uint64_t (*next_uint64)(void *st);
uint32... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_simd.py | # NOTE: Please avoid the use of numpy.testing since NPYV intrinsics
# may be involved in their functionality.
import pytest, math, re
import itertools
from numpy.core._simd import targets
from numpy.core._multiarray_umath import __cpu_baseline__
class _Test_Utility:
# submodule of the desired SIMD extension, e.g. ... |
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_errstate.py | import pytest
import sysconfig
import numpy as np
from numpy.testing import assert_, assert_raises
# The floating point emulation on ARM EABI systems lacking a hardware FPU is
# known to be buggy. This is an attempt to identify these hosts. It may not
# catch all possible cases, but it catches the known cases of gh-4... |
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