FM / tests

/usr/local/lib64/python3.6/site-packages/numpy/core/tests/

/usr/local/lib64/python3.6/site-packages/numpy/core/tests

Name	Size	Mode	Actions
data/	-	0755	rm
__pycache__/	-	0755	rm
test_abc.py	2328	0644	edit dl rm
test_api.py	20806	0644	edit dl rm
test_arrayprint.py	34493	0644	edit dl rm
test_conversion_utils.py	4981	0644	edit dl rm
test_cpu_features.py	6785	0644	edit dl rm
test_datetime.py	108192	0644	edit dl rm
test_defchararray.py	24381	0644	edit dl rm
test_deprecations.py	24187	0644	edit dl rm
test_dtype.py	49291	0644	edit dl rm
test_einsum.py	45197	0644	edit dl rm
test_errstate.py	2066	0644	edit dl rm
test_extint128.py	5643	0644	edit dl rm
test_function_base.py	13148	0644	edit dl rm
test_getlimits.py	4297	0644	edit dl rm
test_half.py	23102	0644	edit dl rm
test_indexerrors.py	5130	0644	edit dl rm
test_indexing.py	49260	0644	edit dl rm
test_item_selection.py	3579	0644	edit dl rm
test_longdouble.py	13041	0644	edit dl rm
test_machar.py	1066	0644	edit dl rm
test_memmap.py	7464	0644	edit dl rm
test_mem_overlap.py	28855	0644	edit dl rm
test_multiarray.py	319797	0644	edit dl rm
test_nditer.py	112298	0644	edit dl rm
test_numeric.py	124118	0644	edit dl rm
test_numerictypes.py	20846	0644	edit dl rm
test_overrides.py	14433	0644	edit dl rm
test_print.py	6737	0644	edit dl rm
test_protocols.py	1168	0644	edit dl rm
test_records.py	19694	0644	edit dl rm
test_regression.py	88840	0644	edit dl rm
test_scalarbuffer.py	4065	0644	edit dl rm
test_scalarinherit.py	2127	0644	edit dl rm
test_scalarmath.py	28565	0644	edit dl rm
test_scalarprint.py	15158	0644	edit dl rm
test_scalar_ctors.py	2580	0644	edit dl rm
test_scalar_methods.py	4063	0644	edit dl rm
test_shape_base.py	24679	0644	edit dl rm
test_ufunc.py	83978	0644	edit dl rm
test_umath.py	121442	0644	edit dl rm
test_umath_accuracy.py	3044	0644	edit dl rm
test_umath_complex.py	23145	0644	edit dl rm
test_unicode.py	12553	0644	edit dl rm
test__exceptions.py	2005	0644	edit dl rm
_locales.py	2192	0644	edit dl rm
__init__.py	0	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/numpy/core/tests/test_umath_accuracy.py (3044B)

import numpy as np
import platform
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.core._multiarray_umath import __cpu_features__

IS_AVX = __cpu_features__.get('AVX512F', False) or \
        (__cpu_features__.get('FMA3', False) and __cpu_features__.get('AVX2', False))
runtest = sys.platform.startswith('linux') and IS_AVX
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)
files = ['umath-validation-set-exp',
         'umath-validation-set-log',
         'umath-validation-set-sin',
         'umath-validation-set-cos']

class TestAccuracy:
    @platform_skip
    def test_validate_transcendentals(self):
        with np.errstate(all='ignore'):
            for filename in files:
                data_dir = path.join(path.dirname(__file__), 'data')
                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)
                    npfunc = getattr(np, filename.split('-')[3])
                    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)

cmd: