Test failures for larger dimensions with numpy-2.3.1 on fedora #432
Description
Hi! I'm trying to update the package in Fedora, and I'm getting the following failures:
tests/ndarray/test_reductions.py::test_broadcast_params[shapes2-True-0-sum] FAILED [ 13%]
>>>>>>>>>>>>>>>>>>>>>>>>>>>> traceback >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
axis = 0, keepdims = True, reduce_op = 'sum', shapes = ((100, 100, 100), (100, 100), (100,))
@pytest.mark.parametrize("reduce_op", ["sum", "mean", "std", "var", "min", "max", "any", "all"])
@pytest.mark.parametrize("axis", [0, (0, 1), None])
@pytest.mark.parametrize("keepdims", [True, False])
@pytest.mark.parametrize(
"shapes",
[
((5, 5, 5), (5, 5), (5,)),
((10, 10, 10), (10, 10), (10,)),
((100, 100, 100), (100, 100), (100,)),
],
)
def test_broadcast_params(axis, keepdims, reduce_op, shapes):
na1 = np.linspace(0, 1, np.prod(shapes[0])).reshape(shapes[0])
na2 = np.linspace(1, 2, np.prod(shapes[1])).reshape(shapes[1])
na3 = np.linspace(2, 3, np.prod(shapes[2])).reshape(shapes[2])
a1 = blosc2.asarray(na1)
a2 = blosc2.asarray(na2)
a3 = blosc2.asarray(na3)
expr1 = a1 + a2 - a3
assert expr1.shape == shapes[0]
expr2 = a1 * a2 + 1
assert expr2.shape == shapes[0]
res = expr1 - getattr(expr2, reduce_op)(axis=axis, keepdims=keepdims)
assert res.shape == shapes[0]
# print(f"res: {res.shape} expr1: {expr1.shape} expr2: {expr2.shape}")
nres = eval(f"na1 + na2 - na3 - (na1 * na2 + 1).{reduce_op}(axis={axis}, keepdims={keepdims})")
tol = 1e-14 if a1.dtype == "float64" else 1e-5
> np.testing.assert_allclose(res[:], nres, atol=tol, rtol=tol)
E AssertionError:
E Not equal to tolerance rtol=1e-14, atol=1e-14
E
E Mismatched elements: 934032 / 1000000 (93.4%)
E Max absolute difference among violations: 201.999901
E Max relative difference among violations: 1.00660045
E ACTUAL: array([[[-1.505000e+02, -1.505151e+02, -1.505302e+02, ...,
E -1.407732e+02, -1.407877e+02, -1.408023e+02],
E [-1.398068e+02, -1.398214e+02, -1.398359e+02, ...,...
E DESIRED: array([[[-150.50005 , -150.5151 , -150.530151, ..., -151.960042,
E -151.975095, -151.990147],
E [-150.995099, -151.010151, -151.025204, ..., -152.455285,...
tests/ndarray/test_reductions.py:157: AssertionError
Looking at the array, the values are different, it's not just a rounding error.
Failing combination:
python3-3.14.0~b3-2.fc43.x86_64
python3-numpy-2.3.1-1.fc43.x86_64
blosc2-2.19.0-1.fc43.x86_64
python-blosc2-3.5.1-2.fc43.src.rpm
build.log
Working combination:
as above, but with
python3-numpy-2.2.6-2.fc43.x86_64
Also working:
python3-3.13.4-1.fc42.x86_64
python3-numpy-2.2.6-1.fc42.x86_64
blosc2-2.19.0-1.fc43.x86_64
python-blosc2-3.5.1-2.fc43
Failing combination:
python3-3.14.0~b3-2.fc43.x86_64
python3-numpy-2.3.1-1.fc43.x86_64
blosc2-2.19.0-1.fc43.x86_64
python-blosc2-3.3.4-2.fc43.src.rpm
build.log
So it seems that it's something that changed in numpy or the other dependencies, not blosc-python itself. But I have no idea what could cause this, so I was just blindly testing combinations.