Public bug reported:
https://launchpad.net/ubuntu/+source/numpy/1:2.3.5+ds-3build1/+build/32460062
one failing test:
=================================== FAILURES ===================================
__________________ TestAccuracy.test_validate_transcendentals __________________
self = <test_umath_accuracy.TestAccuracy object at 0x762b60e96210>
@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 r[0] not 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)
E AssertionError: Arrays are not almost equal up to 2 ULP
(max difference is 3 ULP)
data = array([(b'np.float32', b'0x3ee7054c', b'0x3f4459ea', 2),
(b'np.float32', b'0x7d1e2489', b'0x54095925', 2),
...76081e3232', 2)],
shape=(1428,), dtype=[('type', 'S39'), ('input', 'S39'), ('output',
'S39'), ('ulperr', '<i8')])
data_dir =
'/<<PKGBUILDDIR>>/.pybuild/cpython3_3.14/build/numpy/_core/tests/data'
data_subset = array([(b'np.float64', b'0x800fa025695f404b',
b'0xaaa4000ff64bb00c', 2),
(b'np.float64', b'0xbfecc00198f98003',...e2', b'0xbfec1576081e3232', 2)],
dtype=[('type', 'S39'), ('input', 'S39'), ('output', 'S39'), ('ulperr',
'<i8')])
datatype = np.bytes_(b'np.float64')
fid = <_io.TextIOWrapper
name='/<<PKGBUILDDIR>>/.pybuild/cpython3_3.14/build/numpy/_core/tests/data/umath-validation-set-cbrt.csv'
mode='r' encoding='UTF-8'>
file_without_comments = <generator object
TestAccuracy.test_validate_transcendentals.<locals>.<genexpr> at 0x762b038f5220>
filename = 'umath-validation-set-cbrt.csv'
filepath =
'/<<PKGBUILDDIR>>/.pybuild/cpython3_3.14/build/numpy/_core/tests/data/umath-validation-set-cbrt.csv'
files = ['umath-validation-set-arcsin.csv',
'umath-validation-set-cosh.csv', 'umath-validation-set-arcsinh.csv',
'umath-validation-set-tan.csv', 'umath-validation-set-cbrt.csv',
'umath-validation-set-log10.csv', ...]
inval = array([-5.10708126e-001, 7.68820746e-002, 5.79405806e-001,
-2.49002615e-001, -7.32595443e-001, -1.73652321e+3...
-5.82103580e-001, -1.82814046e+307, 2.00524359e-308,
8.18270035e-001, -2.24165251e+306, -5.85299464e-001])
maxulperr = np.int64(2)
npfunc = <ufunc 'cbrt'>
npname = 'cbrt'
outval = array([-7.99326582e-001, 4.25214793e-001, 8.33670206e-001,
-6.29121657e-001, -9.01477180e-001, -5.57904928e+1...
-8.34962088e-001, -2.63432803e+102, 2.71678776e-103,
9.35331475e-001, -1.30874820e+102, -8.36487346e-001])
perm = array([515, 231, 503, 682, 98, 709, 57, 649, 11, 168, 533, 583,
334,
418, 202, 665, 292, 69, 548, 87, 616,..., 172, 323, 378, 336, 701,
162, 415, 524, 120, 687,
114, 430, 605, 276, 379, 550, 632, 421, 711, 61, 356, 192])
self = <test_umath_accuracy.TestAccuracy object at 0x762b60e96210>
numpy/_core/tests/test_umath_accuracy.py:77: AssertionError
=========================== short test summary info ============================
FAILED
numpy/_core/tests/test_umath_accuracy.py::TestAccuracy::test_validate_transcendentals
= 1 failed, 47874 passed, 1969 skipped, 8 deselected, 34 xfailed, 5 xpassed in
866.09s (0:14:26) =
** Affects: numpy (Ubuntu)
Importance: High
Status: Confirmed
** Affects: numpy (Ubuntu Resolute)
Importance: High
Status: Confirmed
** Tags: ftbfs rls-rr-incoming update-excuse
** Description changed:
+ https://launchpad.net/ubuntu/+source/numpy/1:2.3.5+ds-3build1/+build/32460062
+
one failing test:
=================================== FAILURES
===================================
__________________ TestAccuracy.test_validate_transcendentals
__________________
self = <test_umath_accuracy.TestAccuracy object at 0x762b60e96210>
- @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 r[0] not 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()
+ @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 r[0] not 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)
E AssertionError: Arrays are not almost equal up to 2
ULP (max difference is 3 ULP)
data = array([(b'np.float32', b'0x3ee7054c', b'0x3f4459ea', 2),
- (b'np.float32', b'0x7d1e2489', b'0x54095925', 2),
- ...76081e3232', 2)],
- shape=(1428,), dtype=[('type', 'S39'), ('input', 'S39'), ('output',
'S39'), ('ulperr', '<i8')])
+ (b'np.float32', b'0x7d1e2489', b'0x54095925', 2),
+ ...76081e3232', 2)],
+ shape=(1428,), dtype=[('type', 'S39'), ('input', 'S39'), ('output',
'S39'), ('ulperr', '<i8')])
data_dir =
'/<<PKGBUILDDIR>>/.pybuild/cpython3_3.14/build/numpy/_core/tests/data'
data_subset = array([(b'np.float64', b'0x800fa025695f404b',
b'0xaaa4000ff64bb00c', 2),
- (b'np.float64', b'0xbfecc00198f98003',...e2', b'0xbfec1576081e3232',
2)],
- dtype=[('type', 'S39'), ('input', 'S39'), ('output', 'S39'), ('ulperr',
'<i8')])
+ (b'np.float64', b'0xbfecc00198f98003',...e2', b'0xbfec1576081e3232',
2)],
+ dtype=[('type', 'S39'), ('input', 'S39'), ('output', 'S39'), ('ulperr',
'<i8')])
datatype = np.bytes_(b'np.float64')
fid = <_io.TextIOWrapper
name='/<<PKGBUILDDIR>>/.pybuild/cpython3_3.14/build/numpy/_core/tests/data/umath-validation-set-cbrt.csv'
mode='r' encoding='UTF-8'>
file_without_comments = <generator object
TestAccuracy.test_validate_transcendentals.<locals>.<genexpr> at 0x762b038f5220>
filename = 'umath-validation-set-cbrt.csv'
filepath =
'/<<PKGBUILDDIR>>/.pybuild/cpython3_3.14/build/numpy/_core/tests/data/umath-validation-set-cbrt.csv'
files = ['umath-validation-set-arcsin.csv',
'umath-validation-set-cosh.csv', 'umath-validation-set-arcsinh.csv',
'umath-validation-set-tan.csv', 'umath-validation-set-cbrt.csv',
'umath-validation-set-log10.csv', ...]
inval = array([-5.10708126e-001, 7.68820746e-002, 5.79405806e-001,
- -2.49002615e-001, -7.32595443e-001, -1.73652321e+3...
-5.82103580e-001, -1.82814046e+307, 2.00524359e-308,
- 8.18270035e-001, -2.24165251e+306, -5.85299464e-001])
+ -2.49002615e-001, -7.32595443e-001, -1.73652321e+3...
-5.82103580e-001, -1.82814046e+307, 2.00524359e-308,
+ 8.18270035e-001, -2.24165251e+306, -5.85299464e-001])
maxulperr = np.int64(2)
npfunc = <ufunc 'cbrt'>
npname = 'cbrt'
outval = array([-7.99326582e-001, 4.25214793e-001, 8.33670206e-001,
- -6.29121657e-001, -9.01477180e-001, -5.57904928e+1...
-8.34962088e-001, -2.63432803e+102, 2.71678776e-103,
- 9.35331475e-001, -1.30874820e+102, -8.36487346e-001])
+ -6.29121657e-001, -9.01477180e-001, -5.57904928e+1...
-8.34962088e-001, -2.63432803e+102, 2.71678776e-103,
+ 9.35331475e-001, -1.30874820e+102, -8.36487346e-001])
perm = array([515, 231, 503, 682, 98, 709, 57, 649, 11, 168, 533,
583, 334,
- 418, 202, 665, 292, 69, 548, 87, 616,..., 172, 323, 378, 336, 701,
162, 415, 524, 120, 687,
- 114, 430, 605, 276, 379, 550, 632, 421, 711, 61, 356, 192])
+ 418, 202, 665, 292, 69, 548, 87, 616,..., 172, 323, 378, 336, 701,
162, 415, 524, 120, 687,
+ 114, 430, 605, 276, 379, 550, 632, 421, 711, 61, 356, 192])
self = <test_umath_accuracy.TestAccuracy object at 0x762b60e96210>
numpy/_core/tests/test_umath_accuracy.py:77: AssertionError
=========================== short test summary info
============================
FAILED
numpy/_core/tests/test_umath_accuracy.py::TestAccuracy::test_validate_transcendentals
= 1 failed, 47874 passed, 1969 skipped, 8 deselected, 34 xfailed, 5 xpassed
in 866.09s (0:14:26) =
** Changed in: numpy (Ubuntu)
Status: New => Confirmed
** Changed in: numpy (Ubuntu)
Importance: Undecided => High
** Tags added: ftbfs rls-rr-incoming update-excuse
** Also affects: numpy (Ubuntu Resolute)
Importance: High
Status: Confirmed
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https://bugs.launchpad.net/bugs/2146290
Title:
numpy ftbfs on amd64v3, blocking python3.13 removal
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