ype == np.float32 else 1e-9
>       compare_moments(m1, m2, thresh=thresh)
skimage/measure/tests/test_moments.py:238: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
m1 = array([[-157.93326,    0.     ],
       [   0.     ,    0.     ]], dtype=float32)
m2 = array([[-1.5793326e+02, -1.3671875e-02],
       [-2.0507812e-02,  1.0946890e+06]], dtype=float32)
thresh = 0.00012
    def compare_moments(m1, m2, thresh=1e-8):
        """Compare two moments arrays.
    
        Compares only values in the upper-left triangle of m1, m2 since
        values below the diagonal exceed the specified order and are not computed
        when the analytical computation is used.
    
        Also, there the first-order central moments will be exactly zero with the
        analytical calculation, but will not be zero due to limited floating point
        precision when using a numerical computation. Here we just specify the
        tolerance as a fraction of the maximum absolute value in the moments array.
        """
        m1 = m1.copy()
        m2 = m2.copy()
    
        # make sure location of any NaN values match and then ignore the NaN values
        # in the subsequent comparisons
        nan_idx1 = np.where(np.isnan(m1.ravel()))[0]
        nan_idx2 = np.where(np.isnan(m2.ravel()))[0]
        assert len(nan_idx1) == len(nan_idx2)
        assert np.all(nan_idx1 == nan_idx2)
        m1[np.isnan(m1)] = 0
        m2[np.isnan(m2)] = 0
    
        max_val = np.abs(m1[m1 != 0]).max()
        for orders in itertools.product(*((range(m1.shape[0]),) * m1.ndim)):
            if sum(orders) > m1.shape[0] - 1:
                m1[orders] = 0
                m2[orders] = 0
                continue
            abs_diff = abs(m1[orders] - m2[orders])
            rel_diff = abs_diff / max_val
>           assert rel_diff < thresh
E           assert 0.00012985113 < 0.00012
skimage/measure/tests/test_moments.py:50: AssertionError
=============================== warnings summary ===============================
skimage/filters/tests/test_unsharp_mask.py: 480 warnings
  /builddir/build/BUILDROOT/python-scikit-image-0.22.0-2.fc40.riscv64/usr/lib64/python3.12/site-packages/skimage/filters/tests/test_unsharp_mask.py:26: RuntimeWarning: invalid value encountered in cast
    array = ((array + offset) * 128).astype(dtype)
skimage/transform/tests/test_pyramids.py::test_pyramid_dtype_support[pyramid_gaussian-uint8]
skimage/transform/tests/test_pyramids.py::test_pyramid_dtype_support[pyramid_laplacian-uint8]
  /builddir/build/BUILDROOT/python-scikit-image-0.22.0-2.fc40.riscv64/usr/lib64/python3.12/site-packages/skimage/transform/tests/test_pyramids.py:208: RuntimeWarning: invalid value encountered in cast
    img = np.random.randn(32, 8).astype(dtype)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
FAILED skimage/measure/tests/test_moments.py::test_analytical_moments_calculation[2-1-float32]
= 1 failed, 8095 passed, 13 skipped, 10 deselected, 482 warnings in 4123.12s (1:08:43) =
RPM build errors:
error: Bad exit status from /var/tmp/rpm-tmp.f6fzUR (%check)
    Bad exit status from /var/tmp/rpm-tmp.f6fzUR (%check)
Child return code was: 1
EXCEPTION: [Error('Command failed: \n # bash --login -c /usr/bin/rpmbuild -bb --noclean --target riscv64 --nodeps /builddir/build/SPECS/python-scikit-image.spec\n', 1)]
Traceback (most recent call last):
  File "/usr/lib/python3.11/site-packages/mockbuild/trace_decorator.py", line 93, in trace
    result = func(*args, **kw)
             ^^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.11/site-packages/mockbuild/util.py", line 598, in do_with_status
    raise exception.Error("Command failed: \n # %s\n%s" % (command, output), child.returncode)
mockbuild.exception.Error: Command failed: 
 # bash --login -c /usr/bin/rpmbuild -bb --noclean --target riscv64 --nodeps /builddir/build/SPECS/python-scikit-image.spec