[Debian-astro-maintainers] Bug#1027396: astropy breaks spectral-cube autopkgtest: AssertionError

[Paul Gevers]

Source: astropy, spectral-cube
Control: found -1 astropy/5.2-1
Control: found -1 spectral-cube/0.6.0-1
Severity: serious
Tags: sid bookworm
User: debian-ci at lists.debian.org
Usertags: breaks needs-update

Dear maintainer(s),

With a recent upload of astropy the autopkgtest of spectral-cube fails 
in testing when that autopkgtest is run with the binary packages of 
astropy from unstable. It passes when run with only packages from 
testing. In tabular form:

                        pass            fail
astropy                from testing    5.2-1
spectral-cube          from testing    0.6.0-1
all others             from testing    from testing

I copied some of the output at the bottom of this report.

Currently this regression is blocking the migration of astropy to 
testing [1]. Due to the nature of this issue, I filed this bug report 
against both packages. Can you please investigate the situation and 
reassign the bug to the right package?

More information about this bug and the reason for filing it can be found on
https://wiki.debian.org/ContinuousIntegration/RegressionEmailInformation

Paul

[1] https://qa.debian.org/excuses.php?package=astropy

https://ci.debian.net/data/autopkgtest/testing/amd64/s/spectral-cube/29791507/log.gz

=================================== FAILURES 
===================================
_________________________ test_spectral_smooth[False] 
__________________________

data_522_delta = 
PosixPath('/tmp/pytest-of-debci/pytest-0/test_spectral_smooth_False_0/522_delta.fits')
use_dask = False

     def test_spectral_smooth(data_522_delta, use_dask):
             cube, data = cube_and_raw(data_522_delta, use_dask=use_dask)
             result = 
cube.spectral_smooth(kernel=convolution.Gaussian1DKernel(1.0), 
use_memmap=False)
     >       np.testing.assert_almost_equal(result[:,0,0].value,
                                        convolution.Gaussian1DKernel(1.0,
 
x_size=5).array,
                                        4)
E       AssertionError: E       Arrays are not almost equal to 4 decimals
E       E       Mismatched elements: 5 / 5 (100%)
E       Max absolute difference: 0.00367648
E       Max relative difference: 0.00913138
E        x: array([0.054 , 0.242 , 0.3989, 0.242 , 0.054 ])
E        y: array([0.0545, 0.2442, 0.4026, 0.2442, 0.0545])

/usr/lib/python3/dist-packages/spectral_cube/tests/test_regrid.py:131: 
AssertionError
__________________________ test_spectral_smooth[True] 
__________________________

data_522_delta = 
PosixPath('/tmp/pytest-of-debci/pytest-0/test_spectral_smooth_True_0/522_delta.fits')
use_dask = True

     def test_spectral_smooth(data_522_delta, use_dask):
             cube, data = cube_and_raw(data_522_delta, use_dask=use_dask)
             result = 
cube.spectral_smooth(kernel=convolution.Gaussian1DKernel(1.0), 
use_memmap=False)
     >       np.testing.assert_almost_equal(result[:,0,0].value,
                                        convolution.Gaussian1DKernel(1.0,
 
x_size=5).array,
                                        4)
E       AssertionError: E       Arrays are not almost equal to 4 decimals
E       E       Mismatched elements: 5 / 5 (100%)
E       Max absolute difference: 0.00367648
E       Max relative difference: 0.00913138
E        x: array([0.054 , 0.242 , 0.3989, 0.242 , 0.054 ])
E        y: array([0.0545, 0.2442, 0.4026, 0.2442, 0.0545])

/usr/lib/python3/dist-packages/spectral_cube/tests/test_regrid.py:131: 
AssertionError
_________________________ test_spectral_smooth_4cores 
__________________________

data_522_delta = 
PosixPath('/tmp/pytest-of-debci/pytest-0/test_spectral_smooth_4cores0/522_delta.fits')

     @pytest.mark.skipif('WINDOWS')
     def test_spectral_smooth_4cores(data_522_delta):
             pytest.importorskip('joblib')
             cube, data = cube_and_raw(data_522_delta, use_dask=False)
             result = 
cube.spectral_smooth(kernel=convolution.Gaussian1DKernel(1.0), 
num_cores=4, use_memmap=True)
     >       np.testing.assert_almost_equal(result[:,0,0].value,
                                        convolution.Gaussian1DKernel(1.0,
 
x_size=5).array,
                                        4)
E       AssertionError: E       Arrays are not almost equal to 4 decimals
E       E       Mismatched elements: 5 / 5 (100%)
E       Max absolute difference: 0.00367648
E       Max relative difference: 0.00913138
E        x: array([0.054 , 0.242 , 0.3989, 0.242 , 0.054 ])
E        y: array([0.0545, 0.2442, 0.4026, 0.2442, 0.0545])

/usr/lib/python3/dist-packages/spectral_cube/tests/test_regrid.py:163: 
AssertionError
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