content stringlengths 1 103k ⌀ | path stringlengths 8 216 | filename stringlengths 2 179 | language stringclasses 15
values | size_bytes int64 2 189k | quality_score float64 0.5 0.95 | complexity float64 0 1 | documentation_ratio float64 0 1 | repository stringclasses 5
values | stars int64 0 1k | created_date stringdate 2023-07-10 19:21:08 2025-07-09 19:11:45 | license stringclasses 4
values | is_test bool 2
classes | file_hash stringlengths 32 32 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
#ifndef NUMPY_CORE_INCLUDE_NUMPY_UTILS_H_\n#define NUMPY_CORE_INCLUDE_NUMPY_UTILS_H_\n\n#ifndef __COMP_NPY_UNUSED\n #if defined(__GNUC__)\n #define __COMP_NPY_UNUSED __attribute__ ((__unused__))\n #elif defined(__ICC)\n #define __COMP_NPY_UNUSED __attribute__ ((__unused__))\n #elif defined(__clan... | .venv\Lib\site-packages\numpy\_core\include\numpy\utils.h | utils.h | C | 1,222 | 0.95 | 0.054054 | 1 | node-utils | 187 | 2024-05-11T19:41:12.282886 | MIT | false | 29f08ef2059c21c3001b05dacd8ebc48 |
#ifndef NUMPY_CORE_INCLUDE_NUMPY__NEIGHBORHOOD_IMP_H_\n#error You should not include this header directly\n#endif\n/*\n * Private API (here for inline)\n */\nstatic inline int\n_PyArrayNeighborhoodIter_IncrCoord(PyArrayNeighborhoodIterObject* iter);\n\n/*\n * Update to next item of the iterator\n *\n * Note: this simpl... | .venv\Lib\site-packages\numpy\_core\include\numpy\_neighborhood_iterator_imp.h | _neighborhood_iterator_imp.h | C | 1,947 | 0.95 | 0.066667 | 0.435897 | node-utils | 779 | 2023-12-03T04:26:19.571187 | MIT | false | 5ef85e23eefd97f448d4d08111126905 |
/* #undef NPY_HAVE_ENDIAN_H */\n\n#define NPY_SIZEOF_SHORT 2\n#define NPY_SIZEOF_INT 4\n#define NPY_SIZEOF_LONG 4\n#define NPY_SIZEOF_FLOAT 4\n#define NPY_SIZEOF_COMPLEX_FLOAT 8\n#define NPY_SIZEOF_DOUBLE 8\n#define NPY_SIZEOF_COMPLEX_DOUBLE 16\n#define NPY_SIZEOF_LONGDOUBLE 8\n#define NPY_SIZEOF_COMPLEX_LONGDOUBLE 16\... | .venv\Lib\site-packages\numpy\_core\include\numpy\_numpyconfig.h | _numpyconfig.h | C | 902 | 0.95 | 0.030303 | 1 | awesome-app | 941 | 2024-09-14T08:07:52.867573 | Apache-2.0 | false | f965cc7ef71c965b0b366ddbdd6d2bd6 |
/*\n * Public exposure of the DType Classes. These are tricky to expose\n * via the Python API, so they are exposed through this header for now.\n *\n * These definitions are only relevant for the public API and we reserve\n * the slots 320-360 in the API table generation for this (currently).\n *\n * TODO: This file ... | .venv\Lib\site-packages\numpy\_core\include\numpy\_public_dtype_api_table.h | _public_dtype_api_table.h | C | 4,660 | 0.95 | 0.081395 | 1 | python-kit | 118 | 2023-09-22T15:46:11.320465 | GPL-3.0 | false | 27c8601ffdceba559496f0eb8519d7fe |
\n/* These pointers will be stored in the C-object for use in other\n extension modules\n*/\n\nvoid *PyArray_API[] = {\n (void *) PyArray_GetNDArrayCVersion,\n NULL,\n (void *) &PyArray_Type,\n (void *) &PyArrayDescr_Type,\n NULL,\n (void *) &PyArrayIter_Type,\n (void... | .venv\Lib\site-packages\numpy\_core\include\numpy\__multiarray_api.c | __multiarray_api.c | C | 13,074 | 0.8 | 0.00266 | 0.005348 | node-utils | 541 | 2025-01-06T13:39:06.664085 | Apache-2.0 | false | 0124d456e3dda15ce851c57b77149a66 |
\n#if defined(_MULTIARRAYMODULE) || defined(WITH_CPYCHECKER_STEALS_REFERENCE_TO_ARG_ATTRIBUTE)\n\ntypedef struct {\n PyObject_HEAD\n npy_bool obval;\n} PyBoolScalarObject;\n\nextern NPY_NO_EXPORT PyTypeObject PyArrayNeighborhoodIter_Type;\nextern NPY_NO_EXPORT PyBoolScalarObject _PyArrayScalar_BoolValues[... | .venv\Lib\site-packages\numpy\_core\include\numpy\__multiarray_api.h | __multiarray_api.h | C | 63,261 | 0.75 | 0.027127 | 0.248208 | awesome-app | 47 | 2024-08-09T20:13:40.588022 | BSD-3-Clause | false | 79a8e598da5ff19d64d0653b3e044b15 |
\n/* These pointers will be stored in the C-object for use in other\n extension modules\n*/\n\nvoid *PyUFunc_API[] = {\n (void *) &PyUFunc_Type,\n (void *) PyUFunc_FromFuncAndData,\n (void *) PyUFunc_RegisterLoopForType,\n NULL,\n (void *) PyUFunc_f_f_As_d_d,\n (void *) PyUF... | .venv\Lib\site-packages\numpy\_core\include\numpy\__ufunc_api.c | __ufunc_api.c | C | 1,809 | 0.8 | 0.018519 | 0.038462 | react-lib | 212 | 2023-08-04T20:09:29.059812 | Apache-2.0 | false | bfa8d5dc70f31db70c1eb4c403336be4 |
\n#ifdef _UMATHMODULE\n\nextern NPY_NO_EXPORT PyTypeObject PyUFunc_Type;\n\nextern NPY_NO_EXPORT PyTypeObject PyUFunc_Type;\n\nNPY_NO_EXPORT PyObject * PyUFunc_FromFuncAndData \\n (PyUFuncGenericFunction *, void *const *, const char *, int, int, int, int, const char *, const char *, int);\nNPY_NO_EXPORT int PyU... | .venv\Lib\site-packages\numpy\_core\include\numpy\__ufunc_api.h | __ufunc_api.h | C | 13,516 | 0.95 | 0.064516 | 0.227848 | vue-tools | 717 | 2023-07-12T14:20:03.476224 | GPL-3.0 | false | 7924bb5be488622cb7b4b6afccdaf28d |
#ifndef NUMPY_CORE_INCLUDE_NUMPY_RANDOM_BITGEN_H_\n#define NUMPY_CORE_INCLUDE_NUMPY_RANDOM_BITGEN_H_\n\n#pragma once\n#include <stddef.h>\n#include <stdbool.h>\n#include <stdint.h>\n\n/* Must match the declaration in numpy/random/<any>.pxd */\n\ntypedef struct bitgen {\n void *state;\n uint64_t (*next_uint64)(void *s... | .venv\Lib\site-packages\numpy\_core\include\numpy\random\bitgen.h | bitgen.h | C | 508 | 0.95 | 0 | 0.533333 | awesome-app | 630 | 2025-04-11T17:10:36.871008 | BSD-3-Clause | false | b80b1830332f082e431fdccfff2f8489 |
#ifndef NUMPY_CORE_INCLUDE_NUMPY_RANDOM_DISTRIBUTIONS_H_\n#define NUMPY_CORE_INCLUDE_NUMPY_RANDOM_DISTRIBUTIONS_H_\n\n#ifdef __cplusplus\nextern "C" {\n#endif\n\n#include <Python.h>\n#include "numpy/npy_common.h"\n#include <stddef.h>\n#include <stdbool.h>\n#include <stdint.h>\n\n#include "numpy/npy_math.h"\n#include "n... | .venv\Lib\site-packages\numpy\_core\include\numpy\random\distributions.h | distributions.h | C | 10,070 | 0.95 | 0.009569 | 0.243094 | node-utils | 531 | 2024-04-06T09:42:10.636055 | BSD-3-Clause | false | a44f47404af85258e2959cd100340685 |
// libdivide.h - Optimized integer division\n// https://libdivide.com\n//\n// Copyright (C) 2010 - 2019 ridiculous_fish, <libdivide@ridiculousfish.com>\n// Copyright (C) 2016 - 2019 Kim Walisch, <kim.walisch@gmail.com>\n//\n// libdivide is dual-licensed under the Boost or zlib licenses.\n// You may use libdivide under ... | .venv\Lib\site-packages\numpy\_core\include\numpy\random\libdivide.h | libdivide.h | C | 82,217 | 0.75 | 0.08658 | 0.293413 | awesome-app | 968 | 2024-07-27T11:58:18.994505 | BSD-3-Clause | false | 4a27c048f093a7d867140c05ebca7c19 |
zlib License\n ------------\n\n Copyright (C) 2010 - 2019 ridiculous_fish, <libdivide@ridiculousfish.com>\n Copyright (C) 2016 - 2019 Kim Walisch, <kim.walisch@gmail.com>\n\n This software is provided 'as-is', without any express or implied\n warranty. In no event will the authors be held liable for any damages... | .venv\Lib\site-packages\numpy\_core\include\numpy\random\LICENSE.txt | LICENSE.txt | Other | 1,039 | 0.85 | 0.095238 | 0 | react-lib | 325 | 2024-10-08T03:04:14.300316 | Apache-2.0 | false | e1c97b70a98c8ec5aff0aa275fdb2c91 |
[meta]\nName = mlib\nDescription = Math library used with this version of numpy\nVersion = 1.0\n\n[default]\nLibs=\nCflags=\n\n[msvc]\nLibs=m.lib\nCflags=\n | .venv\Lib\site-packages\numpy\_core\lib\npy-pkg-config\mlib.ini | mlib.ini | Other | 156 | 0.7 | 0 | 0 | react-lib | 104 | 2024-02-18T01:36:51.538937 | Apache-2.0 | false | f9f1205b6d47bc46f71266f60ca86c17 |
[meta]\nName=npymath\nDescription=Portable, core math library implementing C99 standard\nVersion=0.1\n\n[variables]\npkgname=numpy._core\nprefix=${pkgdir}\nlibdir=${prefix}\lib\nincludedir=${prefix}\include\n\n[default]\nLibs=-L${libdir} -lnpymath\nCflags=-I${includedir}\nRequires=mlib\n\n[msvc]\nLibs=/LIBPATH:${libdir... | .venv\Lib\site-packages\numpy\_core\lib\npy-pkg-config\npymath.ini | npymath.ini | Other | 381 | 0.7 | 0 | 0 | node-utils | 681 | 2025-06-19T11:54:52.991765 | BSD-3-Clause | false | 2d7ad4bea95b37fa1a036e7620159993 |
prefix=${pcfiledir}/../..\nincludedir=${prefix}/include\n\nName: numpy\nDescription: NumPy is the fundamental package for scientific computing with Python.\nVersion: 2.3.1\nCflags: -I${includedir}\n | .venv\Lib\site-packages\numpy\_core\lib\pkgconfig\numpy.pc | numpy.pc | Other | 198 | 0.7 | 0.142857 | 0 | python-kit | 670 | 2023-11-13T00:02:19.610435 | MIT | false | 279f3777df404c0b74bd29c1cdf5090b |
import numbers\n\nimport numpy as np\nfrom numpy._core.numerictypes import sctypes\nfrom numpy.testing import assert_\n\n\nclass TestABC:\n def test_abstract(self):\n assert_(issubclass(np.number, numbers.Number))\n\n assert_(issubclass(np.inexact, numbers.Complex))\n assert_(issubclass(np.compl... | .venv\Lib\site-packages\numpy\_core\tests\test_abc.py | test_abc.py | Python | 2,275 | 0.85 | 0.185185 | 0 | awesome-app | 963 | 2025-02-15T18:43:04.813550 | GPL-3.0 | true | c63ea08b7e5a5723dcebfc7b925f52f9 |
import sys\n\nimport pytest\nfrom numpy._core._rational_tests import rational\n\nimport numpy as np\nimport numpy._core.umath as ncu\nfrom numpy.testing import (\n HAS_REFCOUNT,\n assert_,\n assert_array_equal,\n assert_equal,\n assert_raises,\n assert_warns,\n)\n\n\ndef test_array_array():\n tobj ... | .venv\Lib\site-packages\numpy\_core\tests\test_api.py | test_api.py | Python | 23,575 | 0.95 | 0.061192 | 0.151923 | node-utils | 629 | 2024-03-04T11:05:23.370623 | MIT | true | 88d8cecbd2253d75b7a161b572fedb1a |
"""\nTests for the private NumPy argument parsing functionality.\nThey mainly exists to ensure good test coverage without having to try the\nweirder cases on actual numpy functions but test them in one place.\n\nThe test function is defined in C to be equivalent to (errors may not always\nmatch exactly, and could be ad... | .venv\Lib\site-packages\numpy\_core\tests\test_argparse.py | test_argparse.py | Python | 2,962 | 0.95 | 0.184783 | 0.084507 | react-lib | 260 | 2025-04-12T23:55:44.971216 | MIT | true | f37e342b0609b0c14b9702e4997223e9 |
"""\nThis file tests the generic aspects of ArrayMethod. At the time of writing\nthis is private API, but when added, public API may be added here.\n"""\n\nimport types\nfrom typing import Any\n\nimport pytest\nfrom numpy._core._multiarray_umath import _get_castingimpl as get_castingimpl\n\nimport numpy as np\n\n\ncla... | .venv\Lib\site-packages\numpy\_core\tests\test_arraymethod.py | test_arraymethod.py | Python | 3,307 | 0.95 | 0.130952 | 0.1 | node-utils | 658 | 2024-06-25T15:05:09.545753 | GPL-3.0 | true | c8158eea7861f5928c1831cfcc109d08 |
import pytest\n\nimport numpy as np\nfrom numpy.testing import assert_array_equal\n\n\ndef test_matrix_transpose_raises_error_for_1d():\n msg = "matrix transpose with ndim < 2 is undefined"\n arr = np.arange(48)\n with pytest.raises(ValueError, match=msg):\n arr.mT\n\n\ndef test_matrix_transpose_equals_... | .venv\Lib\site-packages\numpy\_core\tests\test_arrayobject.py | test_arrayobject.py | Python | 2,671 | 0.95 | 0.146667 | 0.232143 | awesome-app | 980 | 2023-07-31T13:20:14.951506 | MIT | true | 297c52c54ccc6cab01f82bb2689cd844 |
import gc\nimport sys\nimport textwrap\n\nimport pytest\nfrom hypothesis import given\nfrom hypothesis.extra import numpy as hynp\n\nimport numpy as np\nfrom numpy._core.arrayprint import _typelessdata\nfrom numpy.testing import (\n HAS_REFCOUNT,\n IS_WASM,\n assert_,\n assert_equal,\n assert_raises,\n ... | .venv\Lib\site-packages\numpy\_core\tests\test_arrayprint.py | test_arrayprint.py | Python | 52,066 | 0.75 | 0.097139 | 0.061472 | python-kit | 919 | 2023-10-31T05:52:11.587517 | Apache-2.0 | true | c775d2d3f45797c36809fb8a01adfbcc |
import pytest\n\nimport numpy as np\n\ninfo = np.__array_namespace_info__()\n\n\ndef test_capabilities():\n caps = info.capabilities()\n assert caps["boolean indexing"] is True\n assert caps["data-dependent shapes"] is True\n\n # This will be added in the 2024.12 release of the array API standard.\n\n # ... | .venv\Lib\site-packages\numpy\_core\tests\test_array_api_info.py | test_array_api_info.py | Python | 3,176 | 0.95 | 0.088496 | 0.056818 | vue-tools | 3 | 2025-02-09T03:15:46.571453 | MIT | true | 8d838761700102bd66b8d0d5c9b5ece9 |
"""\nTests for array coercion, mainly through testing `np.array` results directly.\nNote that other such tests exist, e.g., in `test_api.py` and many corner-cases\nare tested (sometimes indirectly) elsewhere.\n"""\n\nfrom itertools import permutations, product\n\nimport numpy._core._multiarray_umath as ncu\nimport pyte... | .venv\Lib\site-packages\numpy\_core\tests\test_array_coercion.py | test_array_coercion.py | Python | 35,808 | 0.95 | 0.161361 | 0.209893 | node-utils | 376 | 2024-01-20T09:15:54.810480 | BSD-3-Clause | true | a350ad06e34a290789667676d547c818 |
import sys\nimport sysconfig\n\nimport pytest\n\nimport numpy as np\nfrom numpy.testing import IS_EDITABLE, IS_WASM, extbuild\n\n\n@pytest.fixture\ndef get_module(tmp_path):\n """ Some codes to generate data and manage temporary buffers use when\n sharing with numpy via the array interface protocol.\n """\n ... | .venv\Lib\site-packages\numpy\_core\tests\test_array_interface.py | test_array_interface.py | Python | 8,065 | 0.95 | 0.085586 | 0.224138 | vue-tools | 295 | 2025-06-28T21:50:41.174283 | BSD-3-Clause | true | b0f22390e95e2304cbbff4966da228ff |
import pytest\nfrom pytest import param\n\nimport numpy as np\nfrom numpy.testing import IS_WASM\n\n\ndef values_and_dtypes():\n """\n Generate value+dtype pairs that generate floating point errors during\n casts. The invalid casts to integers will generate "invalid" value\n warnings, the float casts all g... | .venv\Lib\site-packages\numpy\_core\tests\test_casting_floatingpoint_errors.py | test_casting_floatingpoint_errors.py | Python | 5,230 | 0.95 | 0.149351 | 0.068376 | react-lib | 496 | 2023-11-11T06:19:48.734304 | BSD-3-Clause | true | e4643b3db941ae641462d613f57f372c |
"""\nThe tests exercise the casting machinery in a more low-level manner.\nThe reason is mostly to test a new implementation of the casting machinery.\n\nUnlike most tests in NumPy, these are closer to unit-tests rather\nthan integration tests.\n"""\n\nimport ctypes\nimport enum\nimport random\nimport textwrap\n\nimpor... | .venv\Lib\site-packages\numpy\_core\tests\test_casting_unittests.py | test_casting_unittests.py | Python | 35,153 | 0.95 | 0.141983 | 0.119883 | vue-tools | 749 | 2024-11-22T09:45:33.133981 | MIT | true | add333d25633ea3658784fe292ad066e |
"""\nTests for numpy/_core/src/multiarray/conversion_utils.c\n"""\nimport re\n\nimport numpy._core._multiarray_tests as mt\nimport pytest\n\nfrom numpy._core.multiarray import CLIP, RAISE, WRAP\nfrom numpy.testing import assert_raises\n\n\nclass StringConverterTestCase:\n allow_bytes = True\n case_insensitive = T... | .venv\Lib\site-packages\numpy\_core\tests\test_conversion_utils.py | test_conversion_utils.py | Python | 6,568 | 0.95 | 0.223301 | 0.030675 | node-utils | 75 | 2024-09-15T23:45:40.783964 | MIT | true | c1a36001c21909cfb035516716aa6113 |
from numpy._core._multiarray_umath import (\n __cpu_baseline__,\n __cpu_dispatch__,\n __cpu_features__,\n)\n\nfrom numpy._core import _umath_tests\nfrom numpy.testing import assert_equal\n\n\ndef test_dispatcher():\n """\n Testing the utilities of the CPU dispatcher\n """\n targets = (\n "SS... | .venv\Lib\site-packages\numpy\_core\tests\test_cpu_dispatcher.py | test_cpu_dispatcher.py | Python | 1,619 | 0.95 | 0.163265 | 0.095238 | awesome-app | 392 | 2025-06-15T10:43:37.586016 | BSD-3-Clause | true | b8e4d2fc45dff62ccdf1a89bd87d9e55 |
import os\nimport pathlib\nimport platform\nimport re\nimport subprocess\nimport sys\n\nimport pytest\nfrom numpy._core._multiarray_umath import (\n __cpu_baseline__,\n __cpu_dispatch__,\n __cpu_features__,\n)\n\n\ndef assert_features_equal(actual, desired, fname):\n __tracebackhide__ = True # Hide traceba... | .venv\Lib\site-packages\numpy\_core\tests\test_cpu_features.py | test_cpu_features.py | Python | 16,135 | 0.95 | 0.178241 | 0.058047 | vue-tools | 326 | 2024-11-03T07:09:58.028466 | BSD-3-Clause | true | 28f105b35f9c130f7aa7437a466dcf54 |
from tempfile import NamedTemporaryFile\n\nimport pytest\nfrom numpy._core._multiarray_umath import (\n _discover_array_parameters as discover_array_params,\n)\nfrom numpy._core._multiarray_umath import _get_sfloat_dtype\n\nimport numpy as np\nfrom numpy.testing import assert_array_equal\n\nSF = _get_sfloat_dtype()\... | .venv\Lib\site-packages\numpy\_core\tests\test_custom_dtypes.py | test_custom_dtypes.py | Python | 12,081 | 0.95 | 0.12381 | 0.1417 | python-kit | 653 | 2024-07-29T07:37:18.184886 | BSD-3-Clause | true | bdc31eb4e5974dc8756dd98528179fcb |
import os\nimport subprocess\nimport sys\nimport sysconfig\nfrom datetime import datetime\n\nimport pytest\n\nimport numpy as np\nfrom numpy.testing import IS_EDITABLE, IS_WASM, assert_array_equal\n\n# This import is copied from random.tests.test_extending\ntry:\n import cython\n from Cython.Compiler.Version impo... | .venv\Lib\site-packages\numpy\_core\tests\test_cython.py | test_cython.py | Python | 10,537 | 0.95 | 0.108262 | 0.04943 | node-utils | 40 | 2024-08-28T17:14:12.804858 | GPL-3.0 | true | 182e2f7c1217eb2daee98f8d2150602e |
import pytest\n\nimport numpy as np\nfrom numpy._core.multiarray import _vec_string\nfrom numpy.testing import (\n assert_,\n assert_array_equal,\n assert_equal,\n assert_raises,\n assert_raises_regex,\n)\n\nkw_unicode_true = {'unicode': True} # make 2to3 work properly\nkw_unicode_false = {'unicode': Fa... | .venv\Lib\site-packages\numpy\_core\tests\test_defchararray.py | test_defchararray.py | Python | 31,454 | 0.95 | 0.16 | 0.02406 | python-kit | 511 | 2025-04-04T21:12:36.650453 | GPL-3.0 | true | 6b253846f091f68d9881ac12f9297b23 |
"""\nTests related to deprecation warnings. Also a convenient place\nto document how deprecations should eventually be turned into errors.\n\n"""\nimport contextlib\nimport warnings\n\nimport numpy._core._struct_ufunc_tests as struct_ufunc\nimport pytest\nfrom numpy._core._multiarray_tests import fromstring_null_term_c... | .venv\Lib\site-packages\numpy\_core\tests\test_deprecations.py | test_deprecations.py | Python | 17,555 | 0.95 | 0.237885 | 0.091413 | awesome-app | 519 | 2024-08-18T22:49:42.949618 | BSD-3-Clause | true | 83800727b10a007341fe63358a51f09f |
import sys\n\nimport pytest\n\nimport numpy as np\nfrom numpy.testing import IS_PYPY, assert_array_equal\n\n\ndef new_and_old_dlpack():\n yield np.arange(5)\n\n class OldDLPack(np.ndarray):\n # Support only the "old" version\n def __dlpack__(self, stream=None):\n return super().__dlpack__... | .venv\Lib\site-packages\numpy\_core\tests\test_dlpack.py | test_dlpack.py | Python | 6,020 | 0.95 | 0.136842 | 0.061224 | vue-tools | 991 | 2024-12-22T00:48:08.943789 | Apache-2.0 | true | 8189fdbc0ba52643b4192fe404e2e0b0 |
import ctypes\nimport gc\nimport operator\nimport pickle\nimport random\nimport sys\nimport types\nfrom itertools import permutations\nfrom typing import Any\n\nimport hypothesis\nimport pytest\nfrom hypothesis.extra import numpy as hynp\nfrom numpy._core._multiarray_tests import create_custom_field_dtype\nfrom numpy._... | .venv\Lib\site-packages\numpy\_core\tests\test_dtype.py | test_dtype.py | Python | 80,792 | 0.75 | 0.134336 | 0.096491 | vue-tools | 792 | 2024-02-02T14:19:17.073771 | BSD-3-Clause | true | 5d6b6d63fffad671e2efc5ad9d64f296 |
import itertools\n\nimport pytest\n\nimport numpy as np\nfrom numpy.testing import (\n assert_,\n assert_allclose,\n assert_almost_equal,\n assert_array_equal,\n assert_equal,\n assert_raises,\n assert_raises_regex,\n suppress_warnings,\n)\n\n# Setup for optimize einsum\nchars = 'abcdefghij'\nsi... | .venv\Lib\site-packages\numpy\_core\tests\test_einsum.py | test_einsum.py | Python | 57,594 | 0.75 | 0.126803 | 0.149728 | awesome-app | 510 | 2023-12-01T11:58:00.249025 | GPL-3.0 | true | 8057d6952284735d05821fdd46739998 |
import sysconfig\n\nimport pytest\n\nimport numpy as np\nfrom numpy.testing import IS_WASM, assert_raises\n\n# The floating point emulation on ARM EABI systems lacking a hardware FPU is\n# known to be buggy. This is an attempt to identify these hosts. It may not\n# catch all possible cases, but it catches the known cas... | .venv\Lib\site-packages\numpy\_core\tests\test_errstate.py | test_errstate.py | Python | 4,758 | 0.95 | 0.152672 | 0.165138 | react-lib | 115 | 2024-05-14T14:33:01.069128 | BSD-3-Clause | true | 554bfc2847d5d13bdf1d91c6154a5f83 |
import contextlib\nimport itertools\nimport operator\n\nimport numpy._core._multiarray_tests as mt\nimport pytest\n\nimport numpy as np\nfrom numpy.testing import assert_equal, assert_raises\n\nINT64_MAX = np.iinfo(np.int64).max\nINT64_MIN = np.iinfo(np.int64).min\nINT64_MID = 2**32\n\n# int128 is not two's complement,... | .venv\Lib\site-packages\numpy\_core\tests\test_extint128.py | test_extint128.py | Python | 5,842 | 0.95 | 0.290323 | 0.017442 | react-lib | 666 | 2023-10-28T14:37:27.992669 | Apache-2.0 | true | 6b9d897c30211066fa4e8929665db92f |
import platform\nimport sys\n\nimport pytest\n\nimport numpy as np\nfrom numpy import (\n arange,\n array,\n dtype,\n errstate,\n geomspace,\n isnan,\n linspace,\n logspace,\n ndarray,\n nextafter,\n sqrt,\n stack,\n)\nfrom numpy._core import sctypes\nfrom numpy._core.function_base i... | .venv\Lib\site-packages\numpy\_core\tests\test_function_base.py | test_function_base.py | Python | 18,154 | 0.95 | 0.141153 | 0.054632 | vue-tools | 729 | 2025-06-27T14:57:12.913987 | BSD-3-Clause | true | 82c5589829015d8c4d4785c69dfe4d12 |
""" Test functions for limits module.\n\n"""\nimport types\nimport warnings\n\nimport pytest\n\nimport numpy as np\nfrom numpy import double, half, longdouble, single\nfrom numpy._core import finfo, iinfo\nfrom numpy._core.getlimits import _discovered_machar, _float_ma\nfrom numpy.testing import assert_, assert_equal, ... | .venv\Lib\site-packages\numpy\_core\tests\test_getlimits.py | test_getlimits.py | Python | 7,181 | 0.95 | 0.234146 | 0.103659 | vue-tools | 744 | 2024-10-22T06:30:57.415176 | BSD-3-Clause | true | b698d5535609562fa2b9ed481c3e7344 |
import platform\n\nimport pytest\n\nimport numpy as np\nfrom numpy import float16, float32, float64, uint16\nfrom numpy.testing import IS_WASM, assert_, assert_equal\n\n\ndef assert_raises_fpe(strmatch, callable, *args, **kwargs):\n try:\n callable(*args, **kwargs)\n except FloatingPointError as exc:\n ... | .venv\Lib\site-packages\numpy\_core\tests\test_half.py | test_half.py | Python | 24,993 | 0.95 | 0.06338 | 0.132911 | react-lib | 865 | 2024-03-29T05:57:42.902444 | GPL-3.0 | true | badc8afaf6fdd2192527c47de93fb644 |
import random\n\nimport pytest\nfrom numpy._core._multiarray_tests import identityhash_tester\n\n\n@pytest.mark.parametrize("key_length", [1, 3, 6])\n@pytest.mark.parametrize("length", [1, 16, 2000])\ndef test_identity_hashtable(key_length, length):\n # use a 30 object pool for everything (duplicates will happen)\n ... | .venv\Lib\site-packages\numpy\_core\tests\test_hashtable.py | test_hashtable.py | Python | 1,182 | 0.95 | 0.171429 | 0.185185 | awesome-app | 746 | 2024-01-03T00:29:25.506288 | Apache-2.0 | true | ac6f4e5fbdd9c36a3b543e89be9c2c54 |
import numpy as np\nfrom numpy.testing import (\n assert_raises,\n assert_raises_regex,\n)\n\n\nclass TestIndexErrors:\n '''Tests to exercise indexerrors not covered by other tests.'''\n\n def test_arraytypes_fasttake(self):\n 'take from a 0-length dimension'\n x = np.empty((2, 3, 0, 4))\n ... | .venv\Lib\site-packages\numpy\_core\tests\test_indexerrors.py | test_indexerrors.py | Python | 4,851 | 0.95 | 0.096 | 0.019417 | vue-tools | 398 | 2024-07-15T19:09:13.701208 | GPL-3.0 | true | 408f3468cd708607c34d405bce861ac6 |
import functools\nimport operator\nimport sys\nimport warnings\nfrom itertools import product\n\nimport pytest\nfrom numpy._core._multiarray_tests import array_indexing\n\nimport numpy as np\nfrom numpy.exceptions import ComplexWarning, VisibleDeprecationWarning\nfrom numpy.testing import (\n HAS_REFCOUNT,\n asse... | .venv\Lib\site-packages\numpy\_core\tests\test_indexing.py | test_indexing.py | Python | 56,876 | 0.75 | 0.156014 | 0.191593 | node-utils | 260 | 2023-09-30T15:58:30.362761 | MIT | true | 1f89c783f9f7f6e8b1fadce9469b76b5 |
import sys\n\nimport pytest\n\nimport numpy as np\nfrom numpy.testing import HAS_REFCOUNT, assert_, assert_array_equal, assert_raises\n\n\nclass TestTake:\n def test_simple(self):\n a = [[1, 2], [3, 4]]\n a_str = [[b'1', b'2'], [b'3', b'4']]\n modes = ['raise', 'wrap', 'clip']\n indices =... | .venv\Lib\site-packages\numpy\_core\tests\test_item_selection.py | test_item_selection.py | Python | 6,798 | 0.95 | 0.215569 | 0.121429 | react-lib | 444 | 2023-08-19T02:22:23.071053 | GPL-3.0 | true | da23f67beac3bba027a578951bb6ac36 |
import os\nimport subprocess\nimport sys\nimport sysconfig\n\nimport pytest\n\nfrom numpy.testing import IS_EDITABLE, IS_PYPY, IS_WASM, NOGIL_BUILD\n\n# This import is copied from random.tests.test_extending\ntry:\n import cython\n from Cython.Compiler.Version import version as cython_version\nexcept ImportError:... | .venv\Lib\site-packages\numpy\_core\tests\test_limited_api.py | test_limited_api.py | Python | 3,565 | 0.95 | 0.107843 | 0.068966 | vue-tools | 113 | 2024-05-23T01:28:46.046601 | MIT | true | 20cbf1a9ec795b95f716326df78ad1d4 |
import platform\nimport warnings\n\nimport pytest\n\nimport numpy as np\nfrom numpy._core.tests._locales import CommaDecimalPointLocale\nfrom numpy.testing import (\n IS_MUSL,\n assert_,\n assert_array_equal,\n assert_equal,\n assert_raises,\n temppath,\n)\n\nLD_INFO = np.finfo(np.longdouble)\nlongdou... | .venv\Lib\site-packages\numpy\_core\tests\test_longdouble.py | test_longdouble.py | Python | 12,760 | 0.95 | 0.116531 | 0.132867 | python-kit | 534 | 2025-05-15T23:50:57.120931 | MIT | true | 9895c9d370ea981d13996c34ef9343c6 |
"""\nTest machar. Given recent changes to hardcode type data, we might want to get\nrid of both MachAr and this test at some point.\n\n"""\nimport numpy._core.numerictypes as ntypes\nfrom numpy import array, errstate\nfrom numpy._core._machar import MachAr\n\n\nclass TestMachAr:\n def _run_machar_highprec(self):\n ... | .venv\Lib\site-packages\numpy\_core\tests\test_machar.py | test_machar.py | Python | 1,097 | 0.95 | 0.233333 | 0.192308 | vue-tools | 732 | 2024-09-09T20:55:33.105752 | Apache-2.0 | true | 8ae5ae6df0f29675362fb1117eda050d |
import mmap\nimport os\nimport sys\nfrom pathlib import Path\nfrom tempfile import NamedTemporaryFile, TemporaryFile\n\nimport pytest\n\nfrom numpy import (\n add,\n allclose,\n arange,\n asarray,\n average,\n isscalar,\n memmap,\n multiply,\n ndarray,\n prod,\n subtract,\n sum,\n)\n... | .venv\Lib\site-packages\numpy\_core\tests\test_memmap.py | test_memmap.py | Python | 8,432 | 0.95 | 0.130081 | 0.071429 | node-utils | 261 | 2024-03-06T16:52:36.915290 | MIT | true | af74c4725f1c700d4932308627aa2f57 |
import itertools\n\nimport pytest\nfrom numpy._core._multiarray_tests import internal_overlap, solve_diophantine\n\nimport numpy as np\nfrom numpy._core import _umath_tests\nfrom numpy.lib.stride_tricks import as_strided\nfrom numpy.testing import assert_, assert_array_equal, assert_equal, assert_raises\n\nndims = 2\ns... | .venv\Lib\site-packages\numpy\_core\tests\test_mem_overlap.py | test_mem_overlap.py | Python | 30,149 | 0.95 | 0.178495 | 0.089489 | react-lib | 663 | 2024-12-10T02:19:58.312258 | GPL-3.0 | true | ce8b9dd9efb311e94aa9d97d51c0047a |
import asyncio\nimport gc\nimport os\nimport sys\nimport sysconfig\nimport threading\n\nimport pytest\n\nimport numpy as np\nfrom numpy._core.multiarray import get_handler_name\nfrom numpy.testing import IS_EDITABLE, IS_WASM, assert_warns, extbuild\n\n\n@pytest.fixture\ndef get_module(tmp_path):\n """ Add a memory p... | .venv\Lib\site-packages\numpy\_core\tests\test_mem_policy.py | test_mem_policy.py | Python | 17,246 | 0.95 | 0.115044 | 0.107143 | vue-tools | 729 | 2024-10-26T04:54:14.922052 | Apache-2.0 | true | f2a25af75a3a5f7593f4237a396a6cba |
import concurrent.futures\nimport string\nimport threading\n\nimport pytest\n\nimport numpy as np\nfrom numpy._core import _rational_tests\nfrom numpy.testing import IS_64BIT, IS_WASM\nfrom numpy.testing._private.utils import run_threaded\n\nif IS_WASM:\n pytest.skip(allow_module_level=True, reason="no threading sup... | .venv\Lib\site-packages\numpy\_core\tests\test_multithreading.py | test_multithreading.py | Python | 8,893 | 0.95 | 0.181507 | 0.142222 | vue-tools | 599 | 2023-10-11T14:57:42.525849 | Apache-2.0 | true | 3870b7f18283e58dc603710b8df6a22f |
"""\nThis file adds basic tests to test the NEP 50 style promotion compatibility\nmode. Most of these test are likely to be simply deleted again once NEP 50\nis adopted in the main test suite. A few may be moved elsewhere.\n"""\n\nimport operator\n\nimport hypothesis\nimport pytest\nfrom hypothesis import strategies\... | .venv\Lib\site-packages\numpy\_core\tests\test_nep50_promotions.py | test_nep50_promotions.py | Python | 10,355 | 0.95 | 0.108014 | 0.162037 | vue-tools | 794 | 2024-03-05T20:01:04.274209 | BSD-3-Clause | true | 35cb3c4c5b28b3e4b8f38dd63d59de9f |
import itertools\nimport sys\n\nimport pytest\n\nimport numpy as np\nimport numpy._core.numerictypes as nt\nfrom numpy._core.numerictypes import issctype, maximum_sctype, sctype2char, sctypes\nfrom numpy.testing import (\n IS_PYPY,\n assert_,\n assert_equal,\n assert_raises,\n assert_raises_regex,\n)\n\n... | .venv\Lib\site-packages\numpy\_core\tests\test_numerictypes.py | test_numerictypes.py | Python | 23,893 | 0.95 | 0.159164 | 0.10325 | node-utils | 138 | 2025-04-24T01:03:15.697381 | MIT | true | 9682f2b7ea62c5570c51e95e563b59dc |
import inspect\nimport os\nimport pickle\nimport sys\nimport tempfile\nfrom io import StringIO\nfrom unittest import mock\n\nimport pytest\n\nimport numpy as np\nfrom numpy._core.overrides import (\n _get_implementing_args,\n array_function_dispatch,\n verify_matching_signatures,\n)\nfrom numpy.testing import ... | .venv\Lib\site-packages\numpy\_core\tests\test_overrides.py | test_overrides.py | Python | 28,309 | 0.95 | 0.238938 | 0.058333 | node-utils | 752 | 2025-04-16T17:49:04.651906 | BSD-3-Clause | true | 96aea7826d0dec7b9bf8b189ce642a26 |
import sys\nfrom io import StringIO\n\nimport pytest\n\nimport numpy as np\nfrom numpy._core.tests._locales import CommaDecimalPointLocale\nfrom numpy.testing import IS_MUSL, assert_, assert_equal\n\n_REF = {np.inf: 'inf', -np.inf: '-inf', np.nan: 'nan'}\n\n\n@pytest.mark.parametrize('tp', [np.float32, np.double, np.lo... | .venv\Lib\site-packages\numpy\_core\tests\test_print.py | test_print.py | Python | 6,987 | 0.95 | 0.23 | 0.037267 | python-kit | 402 | 2025-05-11T05:34:50.149714 | GPL-3.0 | true | f2b08bca693427029f130a8c79d83b03 |
import warnings\n\nimport pytest\n\nimport numpy as np\n\n\n@pytest.mark.filterwarnings("error")\ndef test_getattr_warning():\n # issue gh-14735: make sure we clear only getattr errors, and let warnings\n # through\n class Wrapper:\n def __init__(self, array):\n self.array = array\n\n ... | .venv\Lib\site-packages\numpy\_core\tests\test_protocols.py | test_protocols.py | Python | 1,219 | 0.95 | 0.23913 | 0.0625 | node-utils | 390 | 2024-04-01T14:09:19.447437 | GPL-3.0 | true | e39954a7e419a43db2d39cd2053ac575 |
import collections.abc\nimport pickle\nimport textwrap\nfrom io import BytesIO\nfrom os import path\nfrom pathlib import Path\n\nimport pytest\n\nimport numpy as np\nfrom numpy.testing import (\n assert_,\n assert_array_almost_equal,\n assert_array_equal,\n assert_equal,\n assert_raises,\n temppath,\n... | .venv\Lib\site-packages\numpy\_core\tests\test_records.py | test_records.py | Python | 21,091 | 0.95 | 0.102941 | 0.082251 | awesome-app | 351 | 2024-04-10T09:47:34.545128 | Apache-2.0 | true | 22c00956eff20359bb993383c8d7e3ce |
import copy\nimport gc\nimport pickle\nimport sys\nimport tempfile\nfrom io import BytesIO\nfrom itertools import chain\nfrom os import path\n\nimport pytest\n\nimport numpy as np\nfrom numpy._utils import asbytes, asunicode\nfrom numpy.exceptions import AxisError, ComplexWarning\nfrom numpy.testing import (\n HAS_R... | .venv\Lib\site-packages\numpy\_core\tests\test_regression.py | test_regression.py | Python | 98,235 | 0.75 | 0.164419 | 0.165563 | python-kit | 951 | 2024-12-10T16:50:47.600221 | Apache-2.0 | true | 975b90234b942c66de55adba9ac0713d |
"""\nTest scalar buffer interface adheres to PEP 3118\n"""\nimport pytest\nfrom numpy._core._multiarray_tests import get_buffer_info\nfrom numpy._core._rational_tests import rational\n\nimport numpy as np\nfrom numpy.testing import assert_, assert_equal, assert_raises\n\n# PEP3118 format strings for native (standard al... | .venv\Lib\site-packages\numpy\_core\tests\test_scalarbuffer.py | test_scalarbuffer.py | Python | 5,791 | 0.95 | 0.078431 | 0.094488 | react-lib | 630 | 2023-08-07T13:43:40.751840 | BSD-3-Clause | true | 1831408926c306b46c73ff4d7c983e8e |
""" Test printing of scalar types.\n\n"""\nimport pytest\n\nimport numpy as np\nfrom numpy.testing import assert_, assert_raises\n\n\nclass A:\n pass\nclass B(A, np.float64):\n pass\n\nclass C(B):\n pass\nclass D(C, B):\n pass\n\nclass B0(np.float64, A):\n pass\nclass C0(B0):\n pass\n\nclass HasNew:\n... | .venv\Lib\site-packages\numpy\_core\tests\test_scalarinherit.py | test_scalarinherit.py | Python | 2,692 | 0.95 | 0.219048 | 0.083333 | node-utils | 67 | 2023-08-16T22:09:29.986598 | GPL-3.0 | true | b1d37cf34ac07d0a44c03ee04d7223bb |
import contextlib\nimport itertools\nimport operator\nimport platform\nimport sys\nimport warnings\n\nimport pytest\nfrom hypothesis import given, settings\nfrom hypothesis.extra import numpy as hynp\nfrom hypothesis.strategies import sampled_from\nfrom numpy._core._rational_tests import rational\n\nimport numpy as np\... | .venv\Lib\site-packages\numpy\_core\tests\test_scalarmath.py | test_scalarmath.py | Python | 47,759 | 0.95 | 0.193878 | 0.144711 | react-lib | 798 | 2023-12-28T05:56:48.678514 | GPL-3.0 | true | c323737b692e4f29ccea3c9ac4cb4006 |
""" Test printing of scalar types.\n\n"""\nimport platform\n\nimport pytest\n\nimport numpy as np\nfrom numpy.testing import IS_MUSL, assert_, assert_equal, assert_raises\n\n\nclass TestRealScalars:\n def test_str(self):\n svals = [0.0, -0.0, 1, -1, np.inf, -np.inf, np.nan]\n styps = [np.float16, np.fl... | .venv\Lib\site-packages\numpy\_core\tests\test_scalarprint.py | test_scalarprint.py | Python | 20,108 | 0.95 | 0.086849 | 0.129213 | vue-tools | 526 | 2024-08-24T15:30:34.904502 | MIT | true | 92dcb66d8c923743f4e300c8a09b6ba1 |
"""\nTest the scalar constructors, which also do type-coercion\n"""\nimport pytest\n\nimport numpy as np\nfrom numpy.testing import (\n assert_almost_equal,\n assert_equal,\n assert_warns,\n)\n\n\nclass TestFromString:\n def test_floating(self):\n # Ticket #640, floats from string\n fsingle = ... | .venv\Lib\site-packages\numpy\_core\tests\test_scalar_ctors.py | test_scalar_ctors.py | Python | 6,931 | 0.95 | 0.140097 | 0.075581 | vue-tools | 596 | 2024-03-18T14:19:30.084741 | BSD-3-Clause | true | 2f0ddb94436a906bb0bdc52e51e50f7d |
"""\nTest the scalar constructors, which also do type-coercion\n"""\nimport fractions\nimport platform\nimport types\nfrom typing import Any\n\nimport pytest\n\nimport numpy as np\nfrom numpy._core import sctypes\nfrom numpy.testing import assert_equal, assert_raises\n\n\nclass TestAsIntegerRatio:\n # derived in par... | .venv\Lib\site-packages\numpy\_core\tests\test_scalar_methods.py | test_scalar_methods.py | Python | 9,363 | 0.95 | 0.154472 | 0.057416 | awesome-app | 90 | 2024-03-15T10:07:44.056092 | MIT | true | df3ea9facbda0b71c010b2aa48917878 |
import sys\n\nimport pytest\n\nimport numpy as np\nfrom numpy._core import (\n arange,\n array,\n atleast_1d,\n atleast_2d,\n atleast_3d,\n block,\n concatenate,\n hstack,\n newaxis,\n stack,\n vstack,\n)\nfrom numpy._core.shape_base import (\n _block_concatenate,\n _block_dispatc... | .venv\Lib\site-packages\numpy\_core\tests\test_shape_base.py | test_shape_base.py | Python | 32,427 | 0.95 | 0.1156 | 0.062992 | vue-tools | 348 | 2025-05-03T09:57:25.155731 | MIT | true | 1258ec31989a81d38cf5e5a4894603ec |
# NOTE: Please avoid the use of numpy.testing since NPYV intrinsics\n# may be involved in their functionality.\nimport itertools\nimport math\nimport operator\nimport re\n\nimport pytest\nfrom numpy._core._multiarray_umath import __cpu_baseline__\n\nfrom numpy._core._simd import clear_floatstatus, get_floatstatus, targ... | .venv\Lib\site-packages\numpy\_core\tests\test_simd.py | test_simd.py | Python | 50,164 | 0.95 | 0.184191 | 0.064946 | awesome-app | 112 | 2023-09-03T13:22:24.945479 | GPL-3.0 | true | 86ba21a3cfb12b8706bb82428c13e685 |
import pytest\n\nfrom numpy._core._simd import targets\n\n"""\nThis testing unit only for checking the sanity of common functionality,\ntherefore all we need is just to take one submodule that represents any\nof enabled SIMD extensions to run the test on it and the second submodule\nrequired to run only one check relat... | .venv\Lib\site-packages\numpy\_core\tests\test_simd_module.py | test_simd_module.py | Python | 4,007 | 0.95 | 0.165049 | 0.011111 | awesome-app | 690 | 2024-05-24T09:49:34.343724 | GPL-3.0 | true | 9bae58ef7f2a54bbc168a9952d73979e |
import copy\nimport itertools\nimport os\nimport pickle\nimport sys\nimport tempfile\n\nimport pytest\n\nimport numpy as np\nfrom numpy._core.tests._natype import get_stringdtype_dtype as get_dtype\nfrom numpy._core.tests._natype import pd_NA\nfrom numpy.dtypes import StringDType\nfrom numpy.testing import IS_PYPY, ass... | .venv\Lib\site-packages\numpy\_core\tests\test_stringdtype.py | test_stringdtype.py | Python | 57,794 | 0.75 | 0.132808 | 0.062078 | react-lib | 345 | 2024-03-02T07:34:37.148559 | MIT | true | 6b0c72f08568f1410542fc67861f2483 |
import operator\nimport sys\n\nimport pytest\n\nimport numpy as np\nfrom numpy.testing import IS_PYPY, assert_array_equal, assert_raises\nfrom numpy.testing._private.utils import requires_memory\n\nCOMPARISONS = [\n (operator.eq, np.equal, "=="),\n (operator.ne, np.not_equal, "!="),\n (operator.lt, np.less, "<... | .venv\Lib\site-packages\numpy\_core\tests\test_strings.py | test_strings.py | Python | 59,284 | 0.75 | 0.091034 | 0.01214 | node-utils | 384 | 2024-12-07T14:28:56.305340 | MIT | true | c6259eb438ca71b1be1b241a9358aae5 |
import os\nimport sys\nfrom ctypes import POINTER, c_double, c_float, c_int, c_longlong, cast, pointer\nfrom os import path\n\nimport pytest\nfrom numpy._core._multiarray_umath import __cpu_features__\n\nimport numpy as np\nfrom numpy.testing import assert_array_max_ulp\nfrom numpy.testing._private.utils import _glibc_... | .venv\Lib\site-packages\numpy\_core\tests\test_umath_accuracy.py | test_umath_accuracy.py | Python | 5,602 | 0.95 | 0.137097 | 0.036697 | node-utils | 166 | 2025-01-06T18:54:20.637352 | Apache-2.0 | true | fac9a7c9f825b0abbcb79029d1295c43 |
import platform\nimport sys\n\n# import the c-extension module directly since _arg is not exported via umath\nimport numpy._core._multiarray_umath as ncu\nimport pytest\n\nimport numpy as np\nfrom numpy.testing import (\n assert_almost_equal,\n assert_array_equal,\n assert_array_max_ulp,\n assert_equal,\n ... | .venv\Lib\site-packages\numpy\_core\tests\test_umath_complex.py | test_umath_complex.py | Python | 24,253 | 0.95 | 0.135783 | 0.184891 | node-utils | 490 | 2024-05-17T18:37:23.658363 | Apache-2.0 | true | 6b98b0fc7cdc3bcd70c77fb8c3d30cbe |
\nimport numpy as np\nfrom numpy.testing import assert_, assert_array_equal, assert_equal\n\n\ndef buffer_length(arr):\n if isinstance(arr, str):\n if not arr:\n charmax = 0\n else:\n charmax = max(ord(c) for c in arr)\n if charmax < 256:\n size = 1\n elif... | .venv\Lib\site-packages\numpy\_core\tests\test_unicode.py | test_unicode.py | Python | 13,335 | 0.95 | 0.157609 | 0.216783 | awesome-app | 161 | 2024-12-25T22:08:08.538328 | BSD-3-Clause | true | 40bc9c2efa1b3a663d093cbe2ffb2e1e |
"""\nTests of the ._exceptions module. Primarily for exercising the __str__ methods.\n"""\n\nimport pickle\n\nimport pytest\n\nimport numpy as np\nfrom numpy.exceptions import AxisError\n\n_ArrayMemoryError = np._core._exceptions._ArrayMemoryError\n_UFuncNoLoopError = np._core._exceptions._UFuncNoLoopError\n\nclass Tes... | .venv\Lib\site-packages\numpy\_core\tests\test__exceptions.py | test__exceptions.py | Python | 3,012 | 0.95 | 0.144444 | 0.054054 | node-utils | 108 | 2024-06-03T20:56:52.352521 | MIT | true | 40606bd5b3ce35b34edc6c6b9a8f0b8a |
"""Provide class for testing in French locale\n\n"""\nimport locale\nimport sys\n\nimport pytest\n\n__ALL__ = ['CommaDecimalPointLocale']\n\n\ndef find_comma_decimal_point_locale():\n """See if platform has a decimal point as comma locale.\n\n Find a locale that uses a comma instead of a period as the\n decima... | .venv\Lib\site-packages\numpy\_core\tests\_locales.py | _locales.py | Python | 2,248 | 0.85 | 0.25 | 0 | node-utils | 100 | 2024-09-23T09:44:04.405257 | Apache-2.0 | true | 336e8814325e21caa38b74dcb70a1e2f |
# Vendored implementation of pandas.NA, adapted from pandas/_libs/missing.pyx\n#\n# This is vendored to avoid adding pandas as a test dependency.\n\n__all__ = ["pd_NA"]\n\nimport numbers\n\nimport numpy as np\n\n\ndef _create_binary_propagating_op(name, is_divmod=False):\n is_cmp = name.strip("_") in ["eq", "ne", "l... | .venv\Lib\site-packages\numpy\_core\tests\_natype.py | _natype.py | Python | 6,730 | 0.95 | 0.214634 | 0.0875 | react-lib | 401 | 2025-05-07T03:24:48.984371 | GPL-3.0 | true | 41506ac5aa74d966a35abe13e6b52799 |
cnumpy.core.multiarray\n_reconstruct\nqcnumpy\nndarray\nqK | .venv\Lib\site-packages\numpy\_core\tests\data\astype_copy.pkl | astype_copy.pkl | Other | 716 | 0.7 | 0 | 0 | awesome-app | 996 | 2025-07-09T02:56:15.946014 | MIT | true | cd1b85e5d04b562819206983cdcc3e19 |
#include <algorithm>\n#include <fstream>\n#include <iostream>\n#include <math.h>\n#include <random>\n#include <cstdio>\n#include <ctime>\n#include <vector>\n\nstruct ufunc {\n std::string name;\n double (*f32func)(double);\n long double (*f64func)(long double);\n float f32ulp;\n float f64ulp;\n};\n\ntemp... | .venv\Lib\site-packages\numpy\_core\tests\data\generate_umath_validation_data.cpp | generate_umath_validation_data.cpp | C++ | 6,012 | 0.8 | 0.058824 | 0.178344 | python-kit | 173 | 2024-07-23T21:23:12.334470 | GPL-3.0 | true | 80d8e19726afbea46b80e25c2c1e8ec2 |
SIMPLE = T / file does conform to FITS standard BITPIX = 16 / number of bits per data pixel NAXIS = 0 / number of data axes EXTEND = T / FITS dataset may contain extensions ... | .venv\Lib\site-packages\numpy\_core\tests\data\recarray_from_file.fits | recarray_from_file.fits | Other | 8,640 | 0.95 | 0.1 | 0 | react-lib | 314 | 2025-01-06T00:47:24.182153 | GPL-3.0 | true | b8e122f880bc10fd52cabfaae9ba6ed5 |
dtype,input,output,ulperrortol\nnp.float32,0xbddd7f50,0x3fd6eec2,3\nnp.float32,0xbe32a20c,0x3fdf8182,3\nnp.float32,0xbf607c09,0x4028f84f,3\nnp.float32,0x3f25d906,0x3f5db544,3\nnp.float32,0x3f01cec8,0x3f84febf,3\nnp.float32,0x3f1d5c6e,0x3f68a735,3\nnp.float32,0xbf0cab89,0x4009c36d,3\nnp.float32,0xbf176b40,0x400d0941,3\n... | .venv\Lib\site-packages\numpy\_core\tests\data\umath-validation-set-arccos.csv | umath-validation-set-arccos.csv | Other | 62,794 | 0.5 | 0 | 0 | vue-tools | 906 | 2023-08-15T00:03:12.688026 | BSD-3-Clause | true | e9f1c350a2b589b1e6e2cceb2f975b05 |
dtype,input,output,ulperrortol\nnp.float32,0x3f83203f,0x3e61d9d6,2\nnp.float32,0x3f98dea1,0x3f1d1af6,2\nnp.float32,0x7fa00000,0x7fe00000,2\nnp.float32,0x7eba99af,0x42b0d032,2\nnp.float32,0x3fc95a13,0x3f833650,2\nnp.float32,0x3fce9a45,0x3f8771e1,2\nnp.float32,0x3fc1bd96,0x3f797811,2\nnp.float32,0x7eba2391,0x42b0ceed,2\n... | .venv\Lib\site-packages\numpy\_core\tests\data\umath-validation-set-arccosh.csv | umath-validation-set-arccosh.csv | Other | 62,794 | 0.5 | 0 | 0 | python-kit | 48 | 2024-04-26T15:41:13.570493 | Apache-2.0 | true | 5a5014dd42f94729f5cf69497fa16038 |
dtype,input,output,ulperrortol\nnp.float32,0xbe7d3a7c,0xbe7fe217,4\nnp.float32,0x3dc102f0,0x3dc14c60,4\nnp.float32,0xbe119c28,0xbe121aef,4\nnp.float32,0xbe51cd68,0xbe534c75,4\nnp.float32,0x3c04a300,0x3c04a35f,4\nnp.float32,0xbf4f0b62,0xbf712a69,4\nnp.float32,0x3ef61a5c,0x3f005cf6,4\nnp.float32,0xbf13024c,0xbf1c97df,4\n... | .venv\Lib\site-packages\numpy\_core\tests\data\umath-validation-set-arcsin.csv | umath-validation-set-arcsin.csv | Other | 62,768 | 0.5 | 0 | 0 | node-utils | 799 | 2023-09-17T13:10:24.945626 | GPL-3.0 | true | 24f78b261b6d3eff2f1fa5029fde6e64 |
dtype,input,output,ulperrortol\nnp.float32,0xbf24142a,0xbf1a85ef,2\nnp.float32,0x3e71cf91,0x3e6f9e37,2\nnp.float32,0xe52a7,0xe52a7,2\nnp.float32,0x3ef1e074,0x3ee9add9,2\nnp.float32,0x806160ac,0x806160ac,2\nnp.float32,0x7e2d59a2,0x42af4798,2\nnp.float32,0xbf32cac9,0xbf26bf96,2\nnp.float32,0x3f081701,0x3f026142,2\nnp.flo... | .venv\Lib\site-packages\numpy\_core\tests\data\umath-validation-set-arcsinh.csv | umath-validation-set-arcsinh.csv | Other | 61,718 | 0.5 | 0 | 0 | react-lib | 805 | 2024-07-03T21:47:03.914412 | Apache-2.0 | true | 0f6718b99957ba62de9f2d6c1b73394f |
dtype,input,output,ulperrortol\nnp.float32,0x3f338252,0x3f1c8d9c,3\nnp.float32,0x7e569df2,0x3fc90fdb,3\nnp.float32,0xbf347e25,0xbf1d361f,3\nnp.float32,0xbf0a654e,0xbefdbfd2,3\nnp.float32,0x8070968e,0x8070968e,3\nnp.float32,0x803cfb27,0x803cfb27,3\nnp.float32,0x8024362e,0x8024362e,3\nnp.float32,0xfd55dca0,0xbfc90fdb,3\n... | .venv\Lib\site-packages\numpy\_core\tests\data\umath-validation-set-arctan.csv | umath-validation-set-arctan.csv | Other | 61,734 | 0.5 | 0 | 0 | node-utils | 636 | 2023-11-27T09:30:15.504525 | BSD-3-Clause | true | 45988c00bb5ed694e1051a5b82508b99 |
dtype,input,output,ulperrortol\nnp.float32,0x3ee82930,0x3efa60fd,2\nnp.float32,0x3f0aa640,0x3f1b3e13,2\nnp.float32,0x3ec1a21c,0x3ecbbf8d,2\nnp.float32,0x3cdb1740,0x3cdb24a1,2\nnp.float32,0xbf28b6f3,0xbf4a86ac,2\nnp.float32,0xbe490dcc,0xbe4bb2eb,2\nnp.float32,0x80000001,0x80000001,2\nnp.float32,0xbf44f9dd,0xbf826ce1,2\n... | .venv\Lib\site-packages\numpy\_core\tests\data\umath-validation-set-arctanh.csv | umath-validation-set-arctanh.csv | Other | 62,768 | 0.5 | 0 | 0 | react-lib | 693 | 2025-05-03T01:00:51.307015 | GPL-3.0 | true | eb69a7fada3fb706d61455324214de49 |
dtype,input,output,ulperrortol\nnp.float32,0x3ee7054c,0x3f4459ea,2\nnp.float32,0x7d1e2489,0x54095925,2\nnp.float32,0x7ee5edf5,0x549b992b,2\nnp.float32,0x380607,0x2a425e72,2\nnp.float32,0x34a8f3,0x2a3e6603,2\nnp.float32,0x3eee2844,0x3f465a45,2\nnp.float32,0x59e49c,0x2a638d0a,2\nnp.float32,0xbf72c77a,0xbf7b83d4,2\nnp.flo... | .venv\Lib\site-packages\numpy\_core\tests\data\umath-validation-set-cbrt.csv | umath-validation-set-cbrt.csv | Other | 62,275 | 0.5 | 0 | 0 | python-kit | 470 | 2025-03-31T09:17:21.627984 | MIT | true | 1526fa2a6a135f7f8fe1877b2d9ee57b |
dtype,input,output,ulperrortol\n## +ve denormals ##\nnp.float32,0x004b4716,0x3f800000,2\nnp.float32,0x007b2490,0x3f800000,2\nnp.float32,0x007c99fa,0x3f800000,2\nnp.float32,0x00734a0c,0x3f800000,2\nnp.float32,0x0070de24,0x3f800000,2\nnp.float32,0x007fffff,0x3f800000,2\nnp.float32,0x00000001,0x3f800000,2\n## -ve denormal... | .venv\Lib\site-packages\numpy\_core\tests\data\umath-validation-set-cos.csv | umath-validation-set-cos.csv | Other | 60,497 | 0.6 | 0 | 0.002909 | react-lib | 436 | 2025-01-01T06:32:29.349428 | Apache-2.0 | true | 6026a018dedc706fa673352e055543ca |
dtype,input,output,ulperrortol\nnp.float32,0xfe0ac238,0x7f800000,3\nnp.float32,0xbf553b86,0x3faf079b,3\nnp.float32,0xff4457da,0x7f800000,3\nnp.float32,0xff7253f3,0x7f800000,3\nnp.float32,0x5a5802,0x3f800000,3\nnp.float32,0x3db03413,0x3f80795b,3\nnp.float32,0x7f6795c9,0x7f800000,3\nnp.float32,0x805b9142,0x3f800000,3\nnp... | .venv\Lib\site-packages\numpy\_core\tests\data\umath-validation-set-cosh.csv | umath-validation-set-cosh.csv | Other | 62,298 | 0.5 | 0 | 0 | node-utils | 471 | 2024-10-22T18:22:57.559403 | GPL-3.0 | true | e8c7053b1623275eb369b75fe4094c11 |
dtype,input,output,ulperrortol\n## +ve denormals ##\nnp.float32,0x004b4716,0x3f800000,3\nnp.float32,0x007b2490,0x3f800000,3\nnp.float32,0x007c99fa,0x3f800000,3\nnp.float32,0x00734a0c,0x3f800000,3\nnp.float32,0x0070de24,0x3f800000,3\nnp.float32,0x00495d65,0x3f800000,3\nnp.float32,0x006894f6,0x3f800000,3\nnp.float32,0x00... | .venv\Lib\site-packages\numpy\_core\tests\data\umath-validation-set-exp.csv | umath-validation-set-exp.csv | Other | 17,903 | 0.8 | 0 | 0.106796 | node-utils | 333 | 2025-05-28T08:33:51.381002 | Apache-2.0 | true | 839bf4ded6d4747b0dfe1ecc68282bf5 |
dtype,input,output,ulperrortol\nnp.float32,0xbdfe94b0,0x3f6adda6,2\nnp.float32,0x3f20f8f8,0x3fc5ec69,2\nnp.float32,0x7040b5,0x3f800000,2\nnp.float32,0x30ec5,0x3f800000,2\nnp.float32,0x3eb63070,0x3fa3ce29,2\nnp.float32,0xff4dda3d,0x0,2\nnp.float32,0x805b832f,0x3f800000,2\nnp.float32,0x3e883fb7,0x3f99ed8c,2\nnp.float32,0... | .venv\Lib\site-packages\numpy\_core\tests\data\umath-validation-set-exp2.csv | umath-validation-set-exp2.csv | Other | 60,053 | 0.5 | 0 | 0 | node-utils | 487 | 2024-09-23T09:41:02.594128 | MIT | true | 6d37c52e68d9f590fef8104ca1656d84 |
dtype,input,output,ulperrortol\nnp.float32,0x80606724,0x80606724,3\nnp.float32,0xbf16790f,0xbee38e14,3\nnp.float32,0xbf1778a1,0xbee4a97f,3\nnp.float32,0x7d4fc610,0x7f800000,3\nnp.float32,0xbec30a20,0xbea230d5,3\nnp.float32,0x3eae8a36,0x3ecffac5,3\nnp.float32,0xbf1f08f1,0xbeece93c,3\nnp.float32,0x80374376,0x80374376,3\n... | .venv\Lib\site-packages\numpy\_core\tests\data\umath-validation-set-expm1.csv | umath-validation-set-expm1.csv | Other | 61,728 | 0.5 | 0 | 0 | awesome-app | 54 | 2024-07-19T00:24:26.168347 | GPL-3.0 | true | cb326ba0da4387ce7e2c6d5b539f8b1b |
dtype,input,output,ulperrortol\n## +ve denormals ##\nnp.float32,0x004b4716,0xc2afbc1b,4\nnp.float32,0x007b2490,0xc2aec01e,4\nnp.float32,0x007c99fa,0xc2aeba17,4\nnp.float32,0x00734a0c,0xc2aee1dc,4\nnp.float32,0x0070de24,0xc2aeecba,4\nnp.float32,0x007fffff,0xc2aeac50,4\nnp.float32,0x00000001,0xc2ce8ed0,4\n## -ve denormal... | .venv\Lib\site-packages\numpy\_core\tests\data\umath-validation-set-log.csv | umath-validation-set-log.csv | Other | 11,963 | 0.8 | 0 | 0.0369 | vue-tools | 505 | 2023-12-27T14:50:51.095218 | Apache-2.0 | true | ff9012683118a838aa14d2145e62fcee |
dtype,input,output,ulperrortol\nnp.float32,0x3f6fd5c8,0xbce80e8e,4\nnp.float32,0x3ea4ab17,0xbefc3deb,4\nnp.float32,0x3e87a133,0xbf13b0b7,4\nnp.float32,0x3f0d9069,0xbe83bb19,4\nnp.float32,0x3f7b9269,0xbbf84f47,4\nnp.float32,0x3f7a9ffa,0xbc16fd97,4\nnp.float32,0x7f535d34,0x4219cb66,4\nnp.float32,0x3e79ad7c,0xbf1ce857,4\n... | .venv\Lib\site-packages\numpy\_core\tests\data\umath-validation-set-log10.csv | umath-validation-set-log10.csv | Other | 70,551 | 0.5 | 0 | 0 | awesome-app | 137 | 2024-09-01T16:19:31.438315 | MIT | true | 4cb030776907ced376d8cf0d1c5071ab |
dtype,input,output,ulperrortol\nnp.float32,0x3e10aca8,0x3e075347,2\nnp.float32,0x3f776e66,0x3f2d2003,2\nnp.float32,0xbf34e8ce,0xbf9cfd5c,2\nnp.float32,0xbf0260ee,0xbf363f69,2\nnp.float32,0x3ed285e8,0x3eb05870,2\nnp.float32,0x262b88,0x262b88,2\nnp.float32,0x3eeffd6c,0x3ec4cfdb,2\nnp.float32,0x3ee86808,0x3ebf9f54,2\nnp.f... | .venv\Lib\site-packages\numpy\_core\tests\data\umath-validation-set-log1p.csv | umath-validation-set-log1p.csv | Other | 61,732 | 0.5 | 0 | 0 | vue-tools | 628 | 2024-07-30T20:21:53.218412 | BSD-3-Clause | true | 7bdefc7b6e128eeb4b0710889977ac47 |
dtype,input,output,ulperrortol\nnp.float32,0x80000000,0xff800000,3\nnp.float32,0x7f12870a,0x42fe63db,3\nnp.float32,0x3ef29cf5,0xbf89eb12,3\nnp.float32,0x3d6ba8fb,0xc083d26c,3\nnp.float32,0x3d9907e8,0xc06f8230,3\nnp.float32,0x4ee592,0xc2fd656e,3\nnp.float32,0x58d8b1,0xc2fd0db3,3\nnp.float32,0x7ba103,0xc2fc19aa,3\nnp.flo... | .venv\Lib\site-packages\numpy\_core\tests\data\umath-validation-set-log2.csv | umath-validation-set-log2.csv | Other | 70,546 | 0.5 | 0 | 0 | awesome-app | 933 | 2024-04-07T15:49:26.056812 | MIT | true | 8404b9dfb20ebd0472af456699ca0016 |
Steps to validate transcendental functions:\n1) Add a file 'umath-validation-set-<ufuncname>.txt', where ufuncname is name of\n the function in NumPy you want to validate\n2) The file should contain 4 columns: dtype,input,expected output,ulperror\n a. dtype: one of np.float16, np.float32, np.float64\n b. input:... | .venv\Lib\site-packages\numpy\_core\tests\data\umath-validation-set-README.txt | umath-validation-set-README.txt | Other | 982 | 0.85 | 0.333333 | 0 | node-utils | 323 | 2023-11-22T11:40:28.905594 | Apache-2.0 | true | fd7efb77a74e2d8bb17c2866324fd1fd |
dtype,input,output,ulperrortol\n## +ve denormals ##\nnp.float32,0x004b4716,0x004b4716,2\nnp.float32,0x007b2490,0x007b2490,2\nnp.float32,0x007c99fa,0x007c99fa,2\nnp.float32,0x00734a0c,0x00734a0c,2\nnp.float32,0x0070de24,0x0070de24,2\nnp.float32,0x007fffff,0x007fffff,2\nnp.float32,0x00000001,0x00000001,2\n## -ve denormal... | .venv\Lib\site-packages\numpy\_core\tests\data\umath-validation-set-sin.csv | umath-validation-set-sin.csv | Other | 59,981 | 0.6 | 0 | 0.00292 | node-utils | 102 | 2024-03-03T23:39:26.030639 | Apache-2.0 | true | c70380b08736b821b046ea7bbd53f36a |
dtype,input,output,ulperrortol\nnp.float32,0xfee27582,0xff800000,2\nnp.float32,0xff19f092,0xff800000,2\nnp.float32,0xbf393576,0xbf49cb31,2\nnp.float32,0x8020fdea,0x8020fdea,2\nnp.float32,0x455f4e,0x455f4e,2\nnp.float32,0xff718c35,0xff800000,2\nnp.float32,0x3f3215e3,0x3f40cce5,2\nnp.float32,0x19e833,0x19e833,2\nnp.float... | .venv\Lib\site-packages\numpy\_core\tests\data\umath-validation-set-sinh.csv | umath-validation-set-sinh.csv | Other | 61,722 | 0.5 | 0 | 0 | python-kit | 802 | 2024-12-06T02:10:37.425002 | Apache-2.0 | true | be13dc7172f984c9f2b1b7077bda69f6 |
dtype,input,output,ulperrortol\nnp.float32,0xfd97ece0,0xc11186e9,4\nnp.float32,0x8013bb34,0x8013bb34,4\nnp.float32,0x316389,0x316389,4\nnp.float32,0x7f7fffff,0xbf1c9eca,4\nnp.float32,0x3f7674bb,0x3fb7e450,4\nnp.float32,0x80800000,0x80800000,4\nnp.float32,0x7f5995e8,0xbf94106c,4\nnp.float32,0x74527,0x74527,4\nnp.float32... | .venv\Lib\site-packages\numpy\_core\tests\data\umath-validation-set-tan.csv | umath-validation-set-tan.csv | Other | 61,728 | 0.5 | 0 | 0 | node-utils | 7 | 2025-05-24T16:17:58.895219 | MIT | true | 62860199c86c5f81a1b3fd7c81e3cf27 |
dtype,input,output,ulperrortol\nnp.float32,0xbe26ebb0,0xbe25752f,2\nnp.float32,0xbe22ecc0,0xbe219054,2\nnp.float32,0x8010a6b3,0x8010a6b3,2\nnp.float32,0x3135da,0x3135da,2\nnp.float32,0xbe982afc,0xbe93d727,2\nnp.float32,0x16a51f,0x16a51f,2\nnp.float32,0x491e56,0x491e56,2\nnp.float32,0x4bf7ca,0x4bf7ca,2\nnp.float32,0x3ee... | .venv\Lib\site-packages\numpy\_core\tests\data\umath-validation-set-tanh.csv | umath-validation-set-tanh.csv | Other | 61,728 | 0.5 | 0 | 0 | python-kit | 849 | 2025-04-24T03:32:24.632153 | BSD-3-Clause | true | 525820cea48d1e4bd028614da460fbb3 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.