FM / tests

/opt/imh-python/lib/python3.9/site-packages/numpy/core/tests/

/opt/imh-python/lib/python3.9/site-packages/numpy/core/tests

Name	Size	Mode	Actions
data/	-	0755	rm
examples/	-	0755	rm
__pycache__/	-	0755	rm
test_abc.py	2220	0644	edit dl rm
test_api.py	22995	0644	edit dl rm
test_argparse.py	1969	0644	edit dl rm
test_arraymethod.py	3244	0644	edit dl rm
test_arrayprint.py	40462	0644	edit dl rm
test_array_coercion.py	34379	0644	edit dl rm
test_array_interface.py	7774	0644	edit dl rm
test_casting_floatingpoint_errors.py	5063	0644	edit dl rm
test_casting_unittests.py	34298	0644	edit dl rm
test_conversion_utils.py	6559	0644	edit dl rm
test_cpu_dispatcher.py	1521	0644	edit dl rm
test_cpu_features.py	14858	0644	edit dl rm
test_custom_dtypes.py	9401	0644	edit dl rm
test_cython.py	3444	0644	edit dl rm
test_datetime.py	116211	0644	edit dl rm
test_defchararray.py	24997	0644	edit dl rm
test_deprecations.py	31076	0644	edit dl rm
test_dlpack.py	3522	0644	edit dl rm
test_dtype.py	75451	0644	edit dl rm
test_einsum.py	53712	0644	edit dl rm
test_errstate.py	2219	0644	edit dl rm
test_extint128.py	5643	0644	edit dl rm
test_function_base.py	15595	0644	edit dl rm
test_getlimits.py	6718	0644	edit dl rm
test_half.py	24226	0644	edit dl rm
test_hashtable.py	1011	0644	edit dl rm
test_indexerrors.py	5130	0644	edit dl rm
test_indexing.py	54314	0644	edit dl rm
test_item_selection.py	6458	0644	edit dl rm
test_limited_api.py	1172	0644	edit dl rm
test_longdouble.py	13905	0644	edit dl rm
test_machar.py	1067	0644	edit dl rm
test_memmap.py	7477	0644	edit dl rm
test_mem_overlap.py	29086	0644	edit dl rm
test_mem_policy.py	16780	0644	edit dl rm
test_multiarray.py	379827	0644	edit dl rm
test_nditer.py	130818	0644	edit dl rm
test_nep50_promotions.py	8840	0644	edit dl rm
test_numeric.py	136543	0644	edit dl rm
test_numerictypes.py	21687	0644	edit dl rm
test_overrides.py	26080	0644	edit dl rm
test_print.py	6837	0644	edit dl rm
test_protocols.py	1168	0644	edit dl rm
test_records.py	20269	0644	edit dl rm
test_regression.py	91595	0644	edit dl rm
test_scalarbuffer.py	5580	0644	edit dl rm
test_scalarinherit.py	2368	0644	edit dl rm
test_scalarmath.py	43247	0644	edit dl rm
test_scalarprint.py	18771	0644	edit dl rm
test_scalar_ctors.py	6115	0644	edit dl rm
test_scalar_methods.py	7541	0644	edit dl rm
test_shape_base.py	29723	0644	edit dl rm
test_simd.py	48696	0644	edit dl rm
test_simd_module.py	3805	0644	edit dl rm
test_strings.py	3835	0644	edit dl rm
test_ufunc.py	124800	0644	edit dl rm
test_umath.py	185601	0644	edit dl rm
test_umath_accuracy.py	3897	0644	edit dl rm
test_umath_complex.py	23243	0644	edit dl rm
test_unicode.py	12775	0644	edit dl rm
test__exceptions.py	2846	0644	edit dl rm
_locales.py	2206	0644	edit dl rm
__init__.py	0	0644	edit dl rm

Edit: /opt/imh-python/lib/python3.9/site-packages/numpy/core/tests/test_umath_accuracy.py (3897B)

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__

UNARY_UFUNCS = [obj for obj in np.core.umath.__dict__.values() if
        isinstance(obj, np.ufunc)]
UNARY_OBJECT_UFUNCS = [uf for uf in UNARY_UFUNCS if "O->O" in uf.types]
UNARY_OBJECT_UFUNCS.remove(getattr(np, 'invert'))

IS_AVX = __cpu_features__.get('AVX512F', False) or \
        (__cpu_features__.get('FMA3', False) and __cpu_features__.get('AVX2', False))
# only run on linux with AVX, also avoid old glibc (numpy/numpy#20448).
runtest = (sys.platform.startswith('linux')
           and IS_AVX and not _glibc_older_than("2.17"))
platform_skip = pytest.mark.skipif(not runtest,
                                   reason="avoid testing inconsistent platform "
                                   "library implementations")

# convert string to hex function taken from:
# https://stackoverflow.com/questions/1592158/convert-hex-to-float #
def convert(s, datatype="np.float32"):
    i = int(s, 16)                   # convert from hex to a Python int
    if (datatype == "np.float64"):
        cp = pointer(c_longlong(i))           # make this into a c long long integer
        fp = cast(cp, POINTER(c_double))  # cast the int pointer to a double pointer
    else:
        cp = pointer(c_int(i))           # make this into a c integer
        fp = cast(cp, POINTER(c_float))  # cast the int pointer to a float pointer

return fp.contents.value         # dereference the pointer, get the float

str_to_float = np.vectorize(convert)

class TestAccuracy:
    @platform_skip
    def test_validate_transcendentals(self):
        with np.errstate(all='ignore'):
            data_dir = path.join(path.dirname(__file__), 'data')
            files = os.listdir(data_dir)
            files = list(filter(lambda f: f.endswith('.csv'), files))
            for filename in files:
                filepath = path.join(data_dir, filename)
                with open(filepath) as fid:
                    file_without_comments = (r for r in fid if not r[0] in ('$', '#'))
                    data = np.genfromtxt(file_without_comments,
                                         dtype=('|S39','|S39','|S39',int),
                                         names=('type','input','output','ulperr'),
                                         delimiter=',',
                                         skip_header=1)
                    npname = path.splitext(filename)[0].split('-')[3]
                    npfunc = getattr(np, npname)
                    for datatype in np.unique(data['type']):
                        data_subset = data[data['type'] == datatype]
                        inval  = np.array(str_to_float(data_subset['input'].astype(str), data_subset['type'].astype(str)), dtype=eval(datatype))
                        outval = np.array(str_to_float(data_subset['output'].astype(str), data_subset['type'].astype(str)), dtype=eval(datatype))
                        perm = np.random.permutation(len(inval))
                        inval = inval[perm]
                        outval = outval[perm]
                        maxulperr = data_subset['ulperr'].max()
                        assert_array_max_ulp(npfunc(inval), outval, maxulperr)

@pytest.mark.parametrize("ufunc", UNARY_OBJECT_UFUNCS)
    def test_validate_fp16_transcendentals(self, ufunc):
        with np.errstate(all='ignore'):
            arr = np.arange(65536, dtype=np.int16)
            datafp16 = np.frombuffer(arr.tobytes(), dtype=np.float16)
            datafp32 = datafp16.astype(np.float32)
            assert_array_max_ulp(ufunc(datafp16), ufunc(datafp32),
                    maxulp=1, dtype=np.float16)

cmd: