issues: 874039546

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
874039546 MDU6SXNzdWU4NzQwMzk1NDY= 5246 test_save_mfdataset_compute_false_roundtrip fails 5635139 open 0     1 2021-05-02T20:41:48Z 2023-11-02T04:38:05Z   MEMBER      

What happened:

test_save_mfdataset_compute_false_roundtrip consistently fails in windows-latest-3.9, e.g. https://github.com/pydata/xarray/pull/5244/checks?check_run_id=2485202784

Here's the traceback:

```python self = <xarray.tests.test_backends.TestDask object at 0x000001FF45A9B640>

def test_save_mfdataset_compute_false_roundtrip(self):
    from dask.delayed import Delayed

    original = Dataset({"foo": ("x", np.random.randn(10))}).chunk()
    datasets = [original.isel(x=slice(5)), original.isel(x=slice(5, 10))]
    with create_tmp_file(allow_cleanup_failure=ON_WINDOWS) as tmp1:
        with create_tmp_file(allow_cleanup_failure=ON_WINDOWS) as tmp2:
            delayed_obj = save_mfdataset(
                datasets, [tmp1, tmp2], engine=self.engine, compute=False
            )
            assert isinstance(delayed_obj, Delayed)
            delayed_obj.compute()
            with open_mfdataset(
                [tmp1, tmp2], combine="nested", concat_dim="x"
            ) as actual:

              assert_identical(actual, original)

E AssertionError: Left and right Dataset objects are not identical E
E
E Differing data variables: E L foo (x) float64 dask.array<chunksize=(5,), meta=np.ndarray> E R foo (x) float64 dask.array<chunksize=(10,), meta=np.ndarray> ```

Anything else we need to know?:

xfailed in https://github.com/pydata/xarray/pull/5245

Environment:

[Eliding since it's the test env]

 
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