Your message dated Fri, 12 Aug 2022 11:33:53 +0000
with message-id <e1omsvj-00genu...@fasolo.debian.org>
and subject line Bug#1004869: fixed in python-xarray 2022.06.0-3
has caused the Debian Bug report #1004869,
regarding python-xarray: autopkgtest regression on i386
to be marked as done.

This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.

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-- 
1004869: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1004869
Debian Bug Tracking System
Contact ow...@bugs.debian.org with problems
--- Begin Message ---
Source: python-xarray
Version: 0.21.0-1
X-Debbugs-CC: debian...@lists.debian.org
Severity: serious
User: debian...@lists.debian.org
Usertags: regression

Hi Maintainer

python-xarray's autopkgtests are failing on the i386 architecture [1].
I've copied what I hope is the relevant part of the log below.

Regards
Graham


[1] https://ci.debian.net/packages/p/python-xarray/unstable/i386/


=================================== FAILURES ===================================
___________________ test_interpolate_chunk_advanced[linear] ____________________

method = 'linear'

    @requires_scipy
    @requires_dask
    @pytest.mark.parametrize("method", ["linear", "nearest"])
    @pytest.mark.filterwarnings("ignore:Increasing number of chunks")
    def test_interpolate_chunk_advanced(method):
        """Interpolate nd array with an nd indexer sharing coordinates."""
        # Create original array
        x = np.linspace(-1, 1, 5)
        y = np.linspace(-1, 1, 7)
        z = np.linspace(-1, 1, 11)
        t = np.linspace(0, 1, 13)
        q = np.linspace(0, 1, 17)
        da = xr.DataArray(
            data=np.sin(x[:, np.newaxis, np.newaxis, np.newaxis, np.newaxis])
            * np.cos(y[:, np.newaxis, np.newaxis, np.newaxis])
            * np.exp(z[:, np.newaxis, np.newaxis])
            * t[:, np.newaxis]
            + q,
            dims=("x", "y", "z", "t", "q"),
            coords={"x": x, "y": y, "z": z, "t": t, "q": q, "label":
"dummy_attr"},
        )

        # Create indexer into `da` with shared coordinate
("full-twist" Möbius strip)
        theta = np.linspace(0, 2 * np.pi, 5)
        w = np.linspace(-0.25, 0.25, 7)
        r = xr.DataArray(
            data=1 + w[:, np.newaxis] * np.cos(theta),
            coords=[("w", w), ("theta", theta)],
        )

        x = r * np.cos(theta)
        y = r * np.sin(theta)
        z = xr.DataArray(
            data=w[:, np.newaxis] * np.sin(theta),
            coords=[("w", w), ("theta", theta)],
        )

        kwargs = {"fill_value": None}
        expected = da.interp(t=0.5, x=x, y=y, z=z, kwargs=kwargs, method=method)

        da = da.chunk(2)
        x = x.chunk(1)
        z = z.chunk(3)
        actual = da.interp(t=0.5, x=x, y=y, z=z, kwargs=kwargs, method=method)
>       assert_identical(actual, expected)
E       AssertionError: Left and right DataArray objects are not identical
E
E       Differing values:
E       L
E           array([[[ 3.302241e-01,  3.927241e-01, ...,  1.267724e+00,
 1.330224e+00],
E                   [ 1.239764e-17,  6.250000e-02, ...,  9.375000e-01,
 1.000000e+00],
E                   ...,
E                   [-5.560517e-17,  6.250000e-02, ...,  9.375000e-01,
 1.000000e+00],
E                   [ 3.302241e-01,  3.927241e-01, ...,  1.267724e+00,
 1.330224e+00]],
E
E                  [[ 3.603946e-01,  4.228946e-01, ...,  1.297895e+00,
 1.360395e+00],
E                   [ 1.346533e-17,  6.250000e-02, ...,  9.375000e-01,
 1.000000e+00],
E                   ...,
E                   [-5.109700e-17,  6.250000e-02, ...,  9.375000e-01,
 1.000000e+00],
E                   [ 3.603946e-01,  4.228946e-01, ...,  1.297895e+00,
 1.360395e+00]],
E
E                  ...,
E
E                  [[ 4.810764e-01,  5.435764e-01, ...,  1.418576e+00,
 1.481076e+00],
E                   [ 1.878775e-17,  6.250000e-02, ...,  9.375000e-01,
 1.000000e+00],
E                   ...,
E                   [-3.662163e-17,  6.250000e-02, ...,  9.375000e-01,
 1.000000e+00],
E                   [ 4.810764e-01,  5.435764e-01, ...,  1.418576e+00,
 1.481076e+00]],
E
E                  [[ 5.112469e-01,  5.737469e-01, ...,  1.448747e+00,
 1.511247e+00],
E                   [ 2.044535e-17,  6.250000e-02, ...,  9.375000e-01,
 1.000000e+00],
E                   ...,
E                   [-3.371783e-17,  6.250000e-02, ...,  9.375000e-01,
 1.000000e+00],
E                   [ 5.112469e-01,  5.737469e-01, ...,  1.448747e+00,
 1.511247e+00]]])
E       R
E           array([[[ 3.302241e-01,  3.927241e-01, ...,  1.267724e+00,
 1.330224e+00],
E                   [ 1.239764e-17,  6.250000e-02, ...,  9.375000e-01,
 1.000000e+00],
E                   ...,
E                   [-5.560517e-17,  6.250000e-02, ...,  9.375000e-01,
 1.000000e+00],
E                   [ 3.302241e-01,  3.927241e-01, ...,  1.267724e+00,
 1.330224e+00]],
E
E                  [[ 3.603946e-01,  4.228946e-01, ...,  1.297895e+00,
 1.360395e+00],
E                   [ 1.346533e-17,  6.250000e-02, ...,  9.375000e-01,
 1.000000e+00],
E                   ...,
E                   [-5.109700e-17,  6.250000e-02, ...,  9.375000e-01,
 1.000000e+00],
E                   [ 3.603946e-01,  4.228946e-01, ...,  1.297895e+00,
 1.360395e+00]],
E
E                  ...,
E
E                  [[ 4.810764e-01,  5.435764e-01, ...,  1.418576e+00,
 1.481076e+00],
E                   [ 1.878775e-17,  6.250000e-02, ...,  9.375000e-01,
 1.000000e+00],
E                   ...,
E                   [-3.662163e-17,  6.250000e-02, ...,  9.375000e-01,
 1.000000e+00],
E                   [ 4.810764e-01,  5.435764e-01, ...,  1.418576e+00,
 1.481076e+00]],
E
E                  [[ 5.112469e-01,  5.737469e-01, ...,  1.448747e+00,
 1.511247e+00],
E                   [ 2.044535e-17,  6.250000e-02, ...,  9.375000e-01,
 1.000000e+00],
E                   ...,
E                   [-3.371783e-17,  6.250000e-02, ...,  9.375000e-01,
 1.000000e+00],
E                   [ 5.112469e-01,  5.737469e-01, ...,  1.448747e+00,
 1.511247e+00]]])

/usr/lib/python3/dist-packages/xarray/tests/test_interp.py:874: AssertionError

--- End Message ---
--- Begin Message ---
Source: python-xarray
Source-Version: 2022.06.0-3
Done: Alastair McKinstry <mckins...@debian.org>

We believe that the bug you reported is fixed in the latest version of
python-xarray, which is due to be installed in the Debian FTP archive.

A summary of the changes between this version and the previous one is
attached.

Thank you for reporting the bug, which will now be closed.  If you
have further comments please address them to 1004...@bugs.debian.org,
and the maintainer will reopen the bug report if appropriate.

Debian distribution maintenance software
pp.
Alastair McKinstry <mckins...@debian.org> (supplier of updated python-xarray 
package)

(This message was generated automatically at their request; if you
believe that there is a problem with it please contact the archive
administrators by mailing ftpmas...@ftp-master.debian.org)


-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA256

Format: 1.8
Date: Fri, 12 Aug 2022 12:10:45 +0100
Source: python-xarray
Architecture: source
Version: 2022.06.0-3
Distribution: unstable
Urgency: medium
Maintainer: Debian Science Maintainers 
<debian-science-maintain...@lists.alioth.debian.org>
Changed-By: Alastair McKinstry <mckins...@debian.org>
Closes: 1004869 1013939
Changes:
 python-xarray (2022.06.0-3) unstable; urgency=medium
 .
   * Depend on scipy >= 1.8.1-8 for fixes. Closes: #1004869, #1013939
Checksums-Sha1:
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 24a3bcc3a995eb42cc9095eed9a658317533b3db 13832 
python-xarray_2022.06.0-3.debian.tar.xz
Checksums-Sha256:
 6e6128f48cec7fbf7509165feb98763a5737342a4911243c683b22a04ee546b9 3358 
python-xarray_2022.06.0-3.dsc
 9645c2b02ff71d4b7f45d6ad191b4acfb03272a16d92478caff2e5cc4b8e12fa 13832 
python-xarray_2022.06.0-3.debian.tar.xz
Files:
 864683b235171ef868961b76c757df94 3358 python optional 
python-xarray_2022.06.0-3.dsc
 4ced204fd13892f405c26cdb7e14b58e 13832 python optional 
python-xarray_2022.06.0-3.debian.tar.xz

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--- End Message ---

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