Viewing file:  test_umath_accuracy.py (2.55 KB) -rw-r--r--
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import numpy as np
import platform
from os import path
import sys
import pytest
from ctypes import *
from numpy.testing import assert_array_max_ulp
runtest = sys.platform.startswith('linux') and (platform.machine() == 'x86_64')
platform_skip = pytest.mark.skipif(not runtest,
reason="""
stick to x86_64 and linux platforms.
test seems to fail on some of ARM and power
architectures.
""")
# convert string to hex function taken from:
# https://stackoverflow.com/questions/1592158/convert-hex-to-float #
def convert(s):
i = int(s, 16) # convert from hex to a Python int
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(object):
@pytest.mark.xfail(reason="Fails for MacPython/numpy-wheels builds")
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)
file_without_comments = (r for r in open(filepath) if not r[0] in ('$', '#'))
data = np.genfromtxt(file_without_comments,
dtype=('|S39','|S39','|S39',np.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)), dtype=eval(datatype))
outval = np.array(str_to_float(data_subset['output'].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)
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