Your message dated Mon, 21 Nov 2022 15:12:02 +0000
with message-id <e1ox8so-00fyoe...@fasolo.debian.org>
and subject line Bug#1004869: fixed in python-xarray 2022.11.0-2
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: 2022.11.0-2
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: Mon, 21 Nov 2022 14:37:38 +0000
Source: python-xarray
Architecture: source
Version: 2022.11.0-2
Distribution: unstable
Urgency: medium
Maintainer: Debian Science Maintainers 
<debian-science-maintain...@lists.alioth.debian.org>
Changed-By: Alastair McKinstry <mckins...@debian.org>
Closes: 1004869 1022255 1023222
Changes:
 python-xarray (2022.11.0-2) unstable; urgency=medium
 .
   * Ack bogs fixed in this and previous releases:
     Closes: #1022255, #1004869, #1023222
Checksums-Sha1:
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 9d5fa48523ea38b6684f9b18e3d3a10a8aee2875 14092 
python-xarray_2022.11.0-2.debian.tar.xz
Checksums-Sha256:
 2921fcf4d7b5b82ed54813180ceacb2261264e99eb22e1b9bcf11e8660755e6e 3395 
python-xarray_2022.11.0-2.dsc
 c480af287094772516773b559ac385d6eed33001e1ded8aa1ddab4db721fc91b 14092 
python-xarray_2022.11.0-2.debian.tar.xz
Files:
 16ee7843761bf700d78213b6a8061f38 3395 python optional 
python-xarray_2022.11.0-2.dsc
 b483b08efbb572a27c4af434d3df17d1 14092 python optional 
python-xarray_2022.11.0-2.debian.tar.xz

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--- End Message ---

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