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omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_records.py
import collections.abc import textwrap from io import BytesIO from os import path from pathlib import Path import pytest import numpy as np from numpy.testing import ( assert_, assert_equal, assert_array_equal, assert_array_almost_equal, assert_raises, temppath, ) from numpy.compat import pickle class Te...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_scalarmath.py
import contextlib import sys import warnings import itertools import operator import platform from numpy.compat import _pep440 import pytest from hypothesis import given, settings from hypothesis.strategies import sampled_from from hypothesis.extra import numpy as hynp import numpy as np from numpy.testing import ( ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_scalarinherit.py
""" Test printing of scalar types. """ import pytest import numpy as np from numpy.testing import assert_, assert_raises class A: pass class B(A, np.float64): pass class C(B): pass class D(C, B): pass class B0(np.float64, A): pass class C0(B0): pass class HasNew: def __new__(cls, *arg...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_scalar_methods.py
""" Test the scalar constructors, which also do type-coercion """ import sys import fractions import platform import types from typing import Any, Type import pytest import numpy as np from numpy.testing import assert_equal, assert_raises class TestAsIntegerRatio: # derived in part from the cpython test "test_f...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_argparse.py
""" Tests for the private NumPy argument parsing functionality. They mainly exists to ensure good test coverage without having to try the weirder cases on actual numpy functions but test them in one place. The test function is defined in C to be equivalent to (errors may not always match exactly, and could be adjusted...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_numeric.py
import sys import warnings import itertools import platform import pytest import math from decimal import Decimal import numpy as np from numpy.core import umath from numpy.random import rand, randint, randn from numpy.testing import ( assert_, assert_equal, assert_raises, assert_raises_regex, assert_array_equ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_einsum.py
import itertools import pytest import numpy as np from numpy.testing import ( assert_, assert_equal, assert_array_equal, assert_almost_equal, assert_raises, suppress_warnings, assert_raises_regex, assert_allclose ) # Setup for optimize einsum chars = 'abcdefghij' sizes = np.array([2, 3, 4, 5, 4, 3, 2, 6,...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_deprecations.py
""" Tests related to deprecation warnings. Also a convenient place to document how deprecations should eventually be turned into errors. """ import datetime import operator import warnings import pytest import tempfile import re import sys import numpy as np from numpy.testing import ( assert_raises, assert_warns...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_print.py
import sys import pytest import numpy as np from numpy.testing import assert_, assert_equal from numpy.core.tests._locales import CommaDecimalPointLocale from io import StringIO _REF = {np.inf: 'inf', -np.inf: '-inf', np.nan: 'nan'} @pytest.mark.parametrize('tp', [np.float32, np.double, np.longdouble]) def test_...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_api.py
import sys import numpy as np from numpy.core._rational_tests import rational import pytest from numpy.testing import ( assert_, assert_equal, assert_array_equal, assert_raises, assert_warns, HAS_REFCOUNT ) def test_array_array(): tobj = type(object) ones11 = np.ones((1, 1), np.float64) tnd...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_memmap.py
import sys import os import mmap import pytest from pathlib import Path from tempfile import NamedTemporaryFile, TemporaryFile from numpy import ( memmap, sum, average, product, ndarray, isscalar, add, subtract, multiply) from numpy import arange, allclose, asarray from numpy.testing import ( assert_, assert_...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_regression.py
import copy import sys import gc import tempfile import pytest from os import path from io import BytesIO from itertools import chain import numpy as np from numpy.testing import ( assert_, assert_equal, IS_PYPY, assert_almost_equal, assert_array_equal, assert_array_almost_equal, assert_raises, ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_hashtable.py
import pytest import random from numpy.core._multiarray_tests import identityhash_tester @pytest.mark.parametrize("key_length", [1, 3, 6]) @pytest.mark.parametrize("length", [1, 16, 2000]) def test_identity_hashtable(key_length, length): # use a 30 object pool for everything (duplicates will happen) pool = [...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/__init__.py
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_umath_complex.py
import sys import platform import pytest import numpy as np # import the c-extension module directly since _arg is not exported via umath import numpy.core._multiarray_umath as ncu from numpy.testing import ( assert_raises, assert_equal, assert_array_equal, assert_almost_equal, assert_array_max_ulp ) # TODO: ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_scalar_ctors.py
""" Test the scalar constructors, which also do type-coercion """ import pytest import numpy as np from numpy.testing import ( assert_equal, assert_almost_equal, assert_warns, ) class TestFromString: def test_floating(self): # Ticket #640, floats from string fsingle = np.single('1.234') ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_mem_overlap.py
import itertools import pytest import numpy as np from numpy.core._multiarray_tests import solve_diophantine, internal_overlap from numpy.core import _umath_tests from numpy.lib.stride_tricks import as_strided from numpy.testing import ( assert_, assert_raises, assert_equal, assert_array_equal ) ndims = 2 si...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_nditer.py
import sys import pytest import textwrap import subprocess import numpy as np import numpy.core._multiarray_tests as _multiarray_tests from numpy import array, arange, nditer, all from numpy.testing import ( assert_, assert_equal, assert_array_equal, assert_raises, HAS_REFCOUNT, suppress_warnings, break_cycle...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_defchararray.py
import numpy as np from numpy.core.multiarray import _vec_string from numpy.testing import ( assert_, assert_equal, assert_array_equal, assert_raises, assert_raises_regex ) kw_unicode_true = {'unicode': True} # make 2to3 work properly kw_unicode_false = {'unicode': False} class TestBasic: def test_f...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_indexerrors.py
import numpy as np from numpy.testing import ( assert_raises, assert_raises_regex, ) class TestIndexErrors: '''Tests to exercise indexerrors not covered by other tests.''' def test_arraytypes_fasttake(self): 'take from a 0-length dimension' x = np.empty((2, 3, 0, 4)) a...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_longdouble.py
import warnings import pytest import numpy as np from numpy.testing import ( assert_, assert_equal, assert_raises, assert_warns, assert_array_equal, temppath, ) from numpy.core.tests._locales import CommaDecimalPointLocale LD_INFO = np.finfo(np.longdouble) longdouble_longer_than_double = (LD_INFO.eps < n...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_mem_policy.py
import asyncio import gc import os import pytest import numpy as np import threading import warnings from numpy.testing import extbuild, assert_warns import sys @pytest.fixture def get_module(tmp_path): """ Add a memory policy that returns a false pointer 64 bytes into the actual allocation, and fill the pref...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_cython.py
import os import shutil import subprocess import sys import pytest import numpy as np # This import is copied from random.tests.test_extending try: import cython from Cython.Compiler.Version import version as cython_version except ImportError: cython = None else: from numpy.compat import _pep440 ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_limited_api.py
import os import shutil import subprocess import sys import sysconfig import pytest @pytest.mark.xfail( sysconfig.get_config_var("Py_DEBUG"), reason=( "Py_LIMITED_API is incompatible with Py_DEBUG, Py_TRACE_REFS, " "and Py_REF_DEBUG" ), ) def test_limited_api(tmp_path): """Test buildin...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_umath.py
import platform import warnings import fnmatch import itertools import pytest import sys import os import operator from fractions import Fraction from functools import reduce from collections import namedtuple import numpy.core.umath as ncu from numpy.core import _umath_tests as ncu_tests import numpy as np from numpy...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_function_base.py
from numpy import ( logspace, linspace, geomspace, dtype, array, sctypes, arange, isnan, ndarray, sqrt, nextafter, stack, errstate ) from numpy.testing import ( assert_, assert_equal, assert_raises, assert_array_equal, assert_allclose, ) class PhysicalQuantity(float): def __new__(cls, value): ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_shape_base.py
import pytest import numpy as np from numpy.core import ( array, arange, atleast_1d, atleast_2d, atleast_3d, block, vstack, hstack, newaxis, concatenate, stack ) from numpy.core.shape_base import (_block_dispatcher, _block_setup, _block_concatenate, _block_slicing) from nu...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_scalarprint.py
""" Test printing of scalar types. """ import code import platform import pytest import sys from tempfile import TemporaryFile import numpy as np from numpy.testing import assert_, assert_equal, assert_raises class TestRealScalars: def test_str(self): svals = [0.0, -0.0, 1, -1, np.inf, -np.inf, np.nan] ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_abc.py
from numpy.testing import assert_ import numbers import numpy as np from numpy.core.numerictypes import sctypes class TestABC: def test_abstract(self): assert_(issubclass(np.number, numbers.Number)) assert_(issubclass(np.inexact, numbers.Complex)) assert_(issubclass(np.complexfloating, n...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_multiarray.py
import collections.abc import tempfile import sys import warnings import operator import io import itertools import functools import ctypes import os import gc import weakref import pytest from contextlib import contextmanager from numpy.compat import pickle import pathlib import builtins from decimal import Decimal ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_half.py
import platform import pytest import numpy as np from numpy import uint16, float16, float32, float64 from numpy.testing import assert_, assert_equal def assert_raises_fpe(strmatch, callable, *args, **kwargs): try: callable(*args, **kwargs) except FloatingPointError as exc: assert_(str(exc).fi...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_scalarbuffer.py
""" Test scalar buffer interface adheres to PEP 3118 """ import numpy as np from numpy.core._rational_tests import rational from numpy.core._multiarray_tests import get_buffer_info import pytest from numpy.testing import assert_, assert_equal, assert_raises # PEP3118 format strings for native (standard alignment and ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_umath_accuracy.py
import numpy as np import os from os import path import sys import pytest from ctypes import c_longlong, c_double, c_float, c_int, cast, pointer, POINTER from numpy.testing import assert_array_max_ulp from numpy.testing._private.utils import _glibc_older_than from numpy.core._multiarray_umath import __cpu_features__ I...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_arrayprint.py
import sys import gc from hypothesis import given from hypothesis.extra import numpy as hynp import pytest import numpy as np from numpy.testing import ( assert_, assert_equal, assert_raises, assert_warns, HAS_REFCOUNT, assert_raises_regex, ) import textwrap class TestArrayRepr: def test_nan_inf(self)...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_casting_unittests.py
""" The tests exercise the casting machinery in a more low-level manner. The reason is mostly to test a new implementation of the casting machinery. Unlike most tests in NumPy, these are closer to unit-tests rather than integration tests. """ import pytest import textwrap import enum import random import numpy as np...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_arraymethod.py
""" This file tests the generic aspects of ArrayMethod. At the time of writing this is private API, but when added, public API may be added here. """ from __future__ import annotations import sys import types from typing import Any import pytest import numpy as np from numpy.core._multiarray_umath import _get_cast...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/_locales.py
"""Provide class for testing in French locale """ import sys import locale import pytest __ALL__ = ['CommaDecimalPointLocale'] def find_comma_decimal_point_locale(): """See if platform has a decimal point as comma locale. Find a locale that uses a comma instead of a period as the decimal point. R...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_simd_module.py
import pytest from numpy.core._simd import targets """ This testing unit only for checking the sanity of common functionality, therefore all we need is just to take one submodule that represents any of enabled SIMD extensions to run the test on it and the second submodule required to run only one check related to the p...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_conversion_utils.py
""" Tests for numpy/core/src/multiarray/conversion_utils.c """ import re import sys import pytest import numpy as np import numpy.core._multiarray_tests as mt from numpy.testing import assert_warns, IS_PYPY class StringConverterTestCase: allow_bytes = True case_insensitive = True exact_match = False ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_getlimits.py
""" Test functions for limits module. """ import warnings import numpy as np from numpy.core import finfo, iinfo from numpy import half, single, double, longdouble from numpy.testing import assert_equal, assert_, assert_raises from numpy.core.getlimits import _discovered_machar, _float_ma ############################...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_cpu_dispatcher.py
from numpy.core._multiarray_umath import __cpu_features__, __cpu_baseline__, __cpu_dispatch__ from numpy.core import _umath_tests from numpy.testing import assert_equal def test_dispatcher(): """ Testing the utilities of the CPU dispatcher """ targets = ( "SSE2", "SSE41", "AVX2", "VSX",...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_unicode.py
import numpy as np from numpy.testing import assert_, assert_equal, assert_array_equal def buffer_length(arr): if isinstance(arr, str): if not arr: charmax = 0 else: charmax = max([ord(c) for c in arr]) if charmax < 256: size = 1 elif charmax < 65...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_custom_dtypes.py
import pytest import numpy as np from numpy.testing import assert_array_equal from numpy.core._multiarray_umath import ( _discover_array_parameters as discover_array_params, _get_sfloat_dtype) SF = _get_sfloat_dtype() class TestSFloat: def _get_array(self, scaling, aligned=True): if not aligned: ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_extint128.py
import itertools import contextlib import operator import pytest import numpy as np import numpy.core._multiarray_tests as mt from numpy.testing import assert_raises, assert_equal INT64_MAX = np.iinfo(np.int64).max INT64_MIN = np.iinfo(np.int64).min INT64_MID = 2**32 # int128 is not two's complement, the sign bit ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_overrides.py
import inspect import sys import os import tempfile from io import StringIO from unittest import mock import numpy as np from numpy.testing import ( assert_, assert_equal, assert_raises, assert_raises_regex) from numpy.core.overrides import ( _get_implementing_args, array_function_dispatch, verify_matching...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_dtype.py
import sys import operator import pytest import ctypes import gc import types from typing import Any import numpy as np from numpy.core._rational_tests import rational from numpy.core._multiarray_tests import create_custom_field_dtype from numpy.testing import ( assert_, assert_equal, assert_array_equal, assert_ra...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_numerictypes.py
import sys import itertools import pytest import numpy as np from numpy.testing import assert_, assert_equal, assert_raises, IS_PYPY # This is the structure of the table used for plain objects: # # +-+-+-+ # |x|y|z| # +-+-+-+ # Structure of a plain array description: Pdescr = [ ('x', 'i4', (2,)), ('y', 'f8',...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_array_coercion.py
""" Tests for array coercion, mainly through testing `np.array` results directly. Note that other such tests exist e.g. in `test_api.py` and many corner-cases are tested (sometimes indirectly) elsewhere. """ import pytest from pytest import param from itertools import product import numpy as np from numpy.core._rati...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_datetime.py
import numpy import numpy as np import datetime import pytest from numpy.testing import ( assert_, assert_equal, assert_raises, assert_warns, suppress_warnings, assert_raises_regex, assert_array_equal, ) from numpy.compat import pickle # Use pytz to test out various time zones if available try: from p...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_dlpack.py
import sys import pytest import numpy as np from numpy.testing import assert_array_equal, IS_PYPY class TestDLPack: @pytest.mark.skipif(IS_PYPY, reason="PyPy can't get refcounts.") def test_dunder_dlpack_refcount(self): x = np.arange(5) y = x.__dlpack__() assert sys.getrefcount(x) == ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_machar.py
""" Test machar. Given recent changes to hardcode type data, we might want to get rid of both MachAr and this test at some point. """ from numpy.core._machar import MachAr import numpy.core.numerictypes as ntypes from numpy import errstate, array class TestMachAr: def _run_machar_highprec(self): # Instan...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_cpu_features.py
import sys, platform, re, pytest from numpy.core._multiarray_umath import __cpu_features__ def assert_features_equal(actual, desired, fname): __tracebackhide__ = True # Hide traceback for py.test actual, desired = str(actual), str(desired) if actual == desired: return detected = str(__cpu_feat...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_ufunc.py
import warnings import itertools import sys import pytest import numpy as np import numpy.core._umath_tests as umt import numpy.linalg._umath_linalg as uml import numpy.core._operand_flag_tests as opflag_tests import numpy.core._rational_tests as _rational_tests from numpy.testing import ( assert_, assert_equal, ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_array_interface.py
import sys import pytest import numpy as np from numpy.testing import extbuild @pytest.fixture def get_module(tmp_path): """ Some codes to generate data and manage temporary buffers use when sharing with numpy via the array interface protocol. """ if not sys.platform.startswith('linux'): pyte...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test__exceptions.py
""" Tests of the ._exceptions module. Primarily for exercising the __str__ methods. """ import pickle import pytest import numpy as np _ArrayMemoryError = np.core._exceptions._ArrayMemoryError _UFuncNoLoopError = np.core._exceptions._UFuncNoLoopError class TestArrayMemoryError: def test_pickling(self): ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_item_selection.py
import sys import numpy as np from numpy.testing import ( assert_, assert_raises, assert_array_equal, HAS_REFCOUNT ) class TestTake: def test_simple(self): a = [[1, 2], [3, 4]] a_str = [[b'1', b'2'], [b'3', b'4']] modes = ['raise', 'wrap', 'clip'] indices = [-1, 4] ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_protocols.py
import pytest import warnings import numpy as np @pytest.mark.filterwarnings("error") def test_getattr_warning(): # issue gh-14735: make sure we clear only getattr errors, and let warnings # through class Wrapper: def __init__(self, array): self.array = array def __len__(self)...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/test_indexing.py
import sys import warnings import functools import operator import pytest import numpy as np from numpy.core._multiarray_tests import array_indexing from itertools import product from numpy.testing import ( assert_, assert_equal, assert_raises, assert_raises_regex, assert_array_equal, assert_warns, HAS_REFCOU...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/examples/limited_api/setup.py
""" Build an example package using the limited Python C API. """ import numpy as np from setuptools import setup, Extension import os macros = [("NPY_NO_DEPRECATED_API", 0), ("Py_LIMITED_API", "0x03060000")] limited_api = Extension( "limited_api", sources=[os.path.join('.', "limited_api.c")], include_dir...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/examples/limited_api/limited_api.c
#define Py_LIMITED_API 0x03060000 #include <Python.h> #include <numpy/arrayobject.h> #include <numpy/ufuncobject.h> static PyModuleDef moduledef = { .m_base = PyModuleDef_HEAD_INIT, .m_name = "limited_api" }; PyMODINIT_FUNC PyInit_limited_api(void) { import_array(); import_umath(); return PyModul...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/examples/cython/setup.py
""" Provide python-space access to the functions exposed in numpy/__init__.pxd for testing. """ import numpy as np from distutils.core import setup from Cython.Build import cythonize from setuptools.extension import Extension import os macros = [("NPY_NO_DEPRECATED_API", 0)] checks = Extension( "checks", sou...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/data/umath-validation-set-README.txt
Steps to validate transcendental functions: 1) Add a file 'umath-validation-set-<ufuncname>.txt', where ufuncname is name of the function in NumPy you want to validate 2) The file should contain 4 columns: dtype,input,expected output,ulperror a. dtype: one of np.float16, np.float32, np.float64 b. input: floa...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/core/tests/data/generate_umath_validation_data.cpp
#include <algorithm> #include <fstream> #include <iostream> #include <cmath> #include <random> #include <cstdio> #include <ctime> #include <vector> struct ufunc { std::string name; double (*f32func)(double); long double (*f64func)(long double); float f32ulp; float f64ulp; }; template <typename T> ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/compat/__init__.py
""" Compatibility module. This module contains duplicated code from Python itself or 3rd party extensions, which may be included for the following reasons: * compatibility * we may only need a small subset of the copied library/module """ from . import _inspect from . import _pep440 from . import py3k from ._ins...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/compat/setup.py
def configuration(parent_package='',top_path=None): from numpy.distutils.misc_util import Configuration config = Configuration('compat', parent_package, top_path) config.add_subpackage('tests') return config if __name__ == '__main__': from numpy.distutils.core import setup setup(configuration=...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/compat/_pep440.py
"""Utility to compare pep440 compatible version strings. The LooseVersion and StrictVersion classes that distutils provides don't work; they don't recognize anything like alpha/beta/rc/dev versions. """ # Copyright (c) Donald Stufft and individual contributors. # All rights reserved. # Redistribution and use in sour...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/compat/_inspect.py
"""Subset of inspect module from upstream python We use this instead of upstream because upstream inspect is slow to import, and significantly contributes to numpy import times. Importing this copy has almost no overhead. """ import types __all__ = ['getargspec', 'formatargspec'] # ---------------------------------...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/compat/py3k.py
""" Python 3.X compatibility tools. While this file was originally intended for Python 2 -> 3 transition, it is now used to create a compatibility layer between different minor versions of Python 3. While the active version of numpy may not support a given version of python, we allow downstream libraries to continue ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/compat/tests/__init__.py
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/compat/tests/test_compat.py
from os.path import join from numpy.compat import isfileobj from numpy.testing import assert_ from numpy.testing import tempdir def test_isfileobj(): with tempdir(prefix="numpy_test_compat_") as folder: filename = join(folder, 'a.bin') with open(filename, 'wb') as f: assert_(isfileob...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/fft/helper.pyi
from typing import Any, TypeVar, overload from numpy import generic, integer, floating, complexfloating from numpy._typing import ( NDArray, ArrayLike, _ShapeLike, _ArrayLike, _ArrayLikeFloat_co, _ArrayLikeComplex_co, ) _SCT = TypeVar("_SCT", bound=generic) __all__: list[str] @overload def f...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/fft/__init__.py
""" Discrete Fourier Transform (:mod:`numpy.fft`) ============================================= .. currentmodule:: numpy.fft The SciPy module `scipy.fft` is a more comprehensive superset of ``numpy.fft``, which includes only a basic set of routines. Standard FFTs ------------- .. autosummary:: :toctree: generate...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/fft/setup.py
import sys def configuration(parent_package='',top_path=None): from numpy.distutils.misc_util import Configuration config = Configuration('fft', parent_package, top_path) config.add_subpackage('tests') # AIX needs to be told to use large file support - at all times defs = [('_LARGE_FILES', None)]...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/fft/_pocketfft.py
""" Discrete Fourier Transforms Routines in this module: fft(a, n=None, axis=-1, norm="backward") ifft(a, n=None, axis=-1, norm="backward") rfft(a, n=None, axis=-1, norm="backward") irfft(a, n=None, axis=-1, norm="backward") hfft(a, n=None, axis=-1, norm="backward") ihfft(a, n=None, axis=-1, norm="backward") fftn(a, ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/fft/_pocketfft.pyi
from collections.abc import Sequence from typing import Literal as L from numpy import complex128, float64 from numpy._typing import ArrayLike, NDArray, _ArrayLikeNumber_co _NormKind = L[None, "backward", "ortho", "forward"] __all__: list[str] def fft( a: ArrayLike, n: None | int = ..., axis: int = ...,...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/fft/__init__.pyi
from numpy._pytesttester import PytestTester from numpy.fft._pocketfft import ( fft as fft, ifft as ifft, rfft as rfft, irfft as irfft, hfft as hfft, ihfft as ihfft, rfftn as rfftn, irfftn as irfftn, rfft2 as rfft2, irfft2 as irfft2, fft2 as fft2, ifft2 as ifft2, fft...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/fft/helper.py
""" Discrete Fourier Transforms - helper.py """ from numpy.core import integer, empty, arange, asarray, roll from numpy.core.overrides import array_function_dispatch, set_module # Created by Pearu Peterson, September 2002 __all__ = ['fftshift', 'ifftshift', 'fftfreq', 'rfftfreq'] integer_types = (int, integer) de...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/fft/tests/test_pocketfft.py
import numpy as np import pytest from numpy.random import random from numpy.testing import ( assert_array_equal, assert_raises, assert_allclose ) import threading import queue def fft1(x): L = len(x) phase = -2j * np.pi * (np.arange(L) / L) phase = np.arange(L).reshape(-1, 1) * phase r...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/fft/tests/__init__.py
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/fft/tests/test_helper.py
"""Test functions for fftpack.helper module Copied from fftpack.helper by Pearu Peterson, October 2005 """ import numpy as np from numpy.testing import assert_array_almost_equal from numpy import fft, pi class TestFFTShift: def test_definition(self): x = [0, 1, 2, 3, 4, -4, -3, -2, -1] y = [-4,...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/linalg/linalg.py
"""Lite version of scipy.linalg. Notes ----- This module is a lite version of the linalg.py module in SciPy which contains high-level Python interface to the LAPACK library. The lite version only accesses the following LAPACK functions: dgesv, zgesv, dgeev, zgeev, dgesdd, zgesdd, dgelsd, zgelsd, dsyevd, zheevd, dgetr...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/linalg/linalg.pyi
from collections.abc import Iterable from typing import ( Literal as L, overload, TypeVar, Any, SupportsIndex, SupportsInt, ) from numpy import ( generic, floating, complexfloating, int32, float64, complex128, ) from numpy.linalg import LinAlgError as LinAlgError from ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/linalg/__init__.py
""" ``numpy.linalg`` ================ The NumPy linear algebra functions rely on BLAS and LAPACK to provide efficient low level implementations of standard linear algebra algorithms. Those libraries may be provided by NumPy itself using C versions of a subset of their reference implementations but, when possible, high...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/linalg/setup.py
import os import sys def configuration(parent_package='', top_path=None): from numpy.distutils.misc_util import Configuration from numpy.distutils.ccompiler_opt import NPY_CXX_FLAGS from numpy.distutils.system_info import get_info, system_info config = Configuration('linalg', parent_package, top_path) ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/linalg/__init__.pyi
from numpy.linalg.linalg import ( matrix_power as matrix_power, solve as solve, tensorsolve as tensorsolve, tensorinv as tensorinv, inv as inv, cholesky as cholesky, eigvals as eigvals, eigvalsh as eigvalsh, pinv as pinv, slogdet as slogdet, det as det, svd as svd, ei...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/linalg/tests/test_deprecations.py
"""Test deprecation and future warnings. """ import numpy as np from numpy.testing import assert_warns def test_qr_mode_full_future_warning(): """Check mode='full' FutureWarning. In numpy 1.8 the mode options 'full' and 'economic' in linalg.qr were deprecated. The release date will probably be sometime ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/linalg/tests/test_regression.py
""" Test functions for linalg module """ import warnings import numpy as np from numpy import linalg, arange, float64, array, dot, transpose from numpy.testing import ( assert_, assert_raises, assert_equal, assert_array_equal, assert_array_almost_equal, assert_array_less ) class TestRegression: def test...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/linalg/tests/__init__.py
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/linalg/tests/test_linalg.py
""" Test functions for linalg module """ import os import sys import itertools import traceback import textwrap import subprocess import pytest import numpy as np from numpy import array, single, double, csingle, cdouble, dot, identity, matmul from numpy.core import swapaxes from numpy import multiply, atleast_2d, in...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/_typing/_add_docstring.py
"""A module for creating docstrings for sphinx ``data`` domains.""" import re import textwrap from ._generic_alias import NDArray _docstrings_list = [] def add_newdoc(name: str, value: str, doc: str) -> None: """Append ``_docstrings_list`` with a docstring for `name`. Parameters ---------- name : ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/_typing/_callable.pyi
""" A module with various ``typing.Protocol`` subclasses that implement the ``__call__`` magic method. See the `Mypy documentation`_ on protocols for more details. .. _`Mypy documentation`: https://mypy.readthedocs.io/en/stable/protocols.html#callback-protocols """ from __future__ import annotations from typing im...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/_typing/_nbit.py
"""A module with the precisions of platform-specific `~numpy.number`s.""" from typing import Any # To-be replaced with a `npt.NBitBase` subclass by numpy's mypy plugin _NBitByte = Any _NBitShort = Any _NBitIntC = Any _NBitIntP = Any _NBitInt = Any _NBitLongLong = Any _NBitHalf = Any _NBitSingle = Any _NBitDouble = A...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/_typing/_dtype_like.py
from typing import ( Any, List, Sequence, Tuple, Union, Type, TypeVar, Protocol, TypedDict, runtime_checkable, ) import numpy as np from ._shape import _ShapeLike from ._generic_alias import _DType as DType from ._char_codes import ( _BoolCodes, _UInt8Codes, _UInt1...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/_typing/_char_codes.py
from typing import Literal _BoolCodes = Literal["?", "=?", "<?", ">?", "bool", "bool_", "bool8"] _UInt8Codes = Literal["uint8", "u1", "=u1", "<u1", ">u1"] _UInt16Codes = Literal["uint16", "u2", "=u2", "<u2", ">u2"] _UInt32Codes = Literal["uint32", "u4", "=u4", "<u4", ">u4"] _UInt64Codes = Literal["uint64", "u8", "=u8...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/_typing/_generic_alias.py
from __future__ import annotations import sys import types from collections.abc import Generator, Iterable, Iterator from typing import ( Any, ClassVar, NoReturn, TypeVar, TYPE_CHECKING, ) import numpy as np __all__ = ["_GenericAlias", "NDArray"] _T = TypeVar("_T", bound="_GenericAlias") def _...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/_typing/_scalars.py
from typing import Union, Tuple, Any import numpy as np # NOTE: `_StrLike_co` and `_BytesLike_co` are pointless, as `np.str_` and # `np.bytes_` are already subclasses of their builtin counterpart _CharLike_co = Union[str, bytes] # The 6 `<X>Like_co` type-aliases below represent all scalars that can be # coerced int...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/_typing/_ufunc.pyi
"""A module with private type-check-only `numpy.ufunc` subclasses. The signatures of the ufuncs are too varied to reasonably type with a single class. So instead, `ufunc` has been expanded into four private subclasses, one for each combination of `~ufunc.nin` and `~ufunc.nout`. """ from typing import ( Any, ...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/_typing/__init__.py
"""Private counterpart of ``numpy.typing``.""" from __future__ import annotations from numpy import ufunc from numpy.core.overrides import set_module from typing import TYPE_CHECKING, final @final # Disallow the creation of arbitrary `NBitBase` subclasses @set_module("numpy.typing") class NBitBase: """ A t...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/_typing/setup.py
def configuration(parent_package='', top_path=None): from numpy.distutils.misc_util import Configuration config = Configuration('_typing', parent_package, top_path) config.add_data_files('*.pyi') return config if __name__ == '__main__': from numpy.distutils.core import setup setup(configuratio...
omniverse-code/kit/exts/omni.kit.pip_archive/pip_prebundle/numpy/_typing/_nested_sequence.py
"""A module containing the `_NestedSequence` protocol.""" from __future__ import annotations from typing import ( Any, Iterator, overload, TypeVar, Protocol, runtime_checkable, ) __all__ = ["_NestedSequence"] _T_co = TypeVar("_T_co", covariant=True) @runtime_checkable class _NestedSequence...