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📁 ..
📄 __init__.py(0 B)
📁 __pycache__
📄 _locales.py(2.15 KB)
📁 data
📁 examples
📄 test__exceptions.py(2.78 KB)
📄 test_abc.py(2.17 KB)
📄 test_api.py(22.46 KB)
📄 test_argparse.py(1.92 KB)
📄 test_array_coercion.py(33.57 KB)
📄 test_array_interface.py(7.42 KB)
📄 test_arraymethod.py(3.17 KB)
📄 test_arrayprint.py(39.51 KB)
📄 test_casting_floatingpoint_errors.py(4.94 KB)
📄 test_casting_unittests.py(33.49 KB)
📄 test_conversion_utils.py(6.41 KB)
📄 test_cpu_dispatcher.py(1.49 KB)
📄 test_cpu_features.py(14.51 KB)
📄 test_custom_dtypes.py(9.18 KB)
📄 test_cython.py(3.54 KB)
📄 test_datetime.py(113.49 KB)
📄 test_defchararray.py(24.41 KB)
📄 test_deprecations.py(30.35 KB)
📄 test_dlpack.py(3.44 KB)
📄 test_dtype.py(73.52 KB)
📄 test_einsum.py(51.72 KB)
📄 test_errstate.py(2.17 KB)
📄 test_extint128.py(5.51 KB)
📄 test_function_base.py(15.23 KB)
📄 test_getlimits.py(6.56 KB)
📄 test_half.py(23.66 KB)
📄 test_hashtable.py(1011 B)
📄 test_indexerrors.py(5.01 KB)
📄 test_indexing.py(53.04 KB)
📄 test_item_selection.py(6.31 KB)
📄 test_limited_api.py(1.14 KB)
📄 test_longdouble.py(13.58 KB)
📄 test_machar.py(1.04 KB)
📄 test_mem_overlap.py(28.4 KB)
📄 test_mem_policy.py(15.63 KB)
📄 test_memmap.py(7.3 KB)
📄 test_multiarray.py(370.43 KB)
📄 test_nditer.py(127.75 KB)
📄 test_nep50_promotions.py(8.63 KB)
📄 test_numeric.py(133.34 KB)
📄 test_numerictypes.py(21.18 KB)
📄 test_overrides.py(25.47 KB)
📄 test_print.py(6.68 KB)
📄 test_protocols.py(1.14 KB)
📄 test_records.py(19.79 KB)
📄 test_regression.py(89.3 KB)
📄 test_scalar_ctors.py(5.97 KB)
📄 test_scalar_methods.py(7.36 KB)
📄 test_scalarbuffer.py(5.45 KB)
📄 test_scalarinherit.py(2.31 KB)
📄 test_scalarmath.py(41.88 KB)
📄 test_scalarprint.py(18.33 KB)
📄 test_shape_base.py(29.03 KB)
📄 test_simd.py(47.55 KB)
📄 test_simd_module.py(3.72 KB)
📄 test_strings.py(3.75 KB)
📄 test_ufunc.py(121.24 KB)
📄 test_umath.py(180.79 KB)
📄 test_umath_accuracy.py(3.81 KB)
📄 test_umath_complex.py(22.7 KB)
📄 test_unicode.py(12.48 KB)

Editing: 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__

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)

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