Bug#1004869: python-xarray: autopkgtest regression on i386

[Graham Inggs]

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