issues: 1561464090

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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
1561464090 I_kwDOAMm_X85dEg0a 7483 Upgrading dask-core and distributed packages to 2023.1.1 breaks tests 4671621 closed 0     1 2023-01-29T21:31:13Z 2023-01-31T18:45:48Z 2023-01-31T18:45:48Z NONE      

What happened?

Creating a fresh testing environment and running the tests causes those in test_distributed.py to fail.

What did you expect to happen?

All tests should pass.

Minimal Complete Verifiable Example

Environment was setup as follows (according to contribution guidelines) ```shell // Env setup conda create -c conda-forge -n xarray-tests python=3.10 conda env update -f ci/requirements/environment.yml conda activate xarray-tests pip install -e .

// Running tests pytest xarray/tests/test_distributed.py ```

MVCE confirmation

  • [ ] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
  • [ ] Complete example — the example is self-contained, including all data and the text of any traceback.
  • [ ] Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
  • [X] New issue — a search of GitHub Issues suggests this is not a duplicate.

Relevant log output

No response

Anything else we need to know?

This can be remedied when manually downgrading dask-core and distributed packages from 2023.1.1 to 2023.1.0. Fixing their versions should fix this error until the underlying reason can be figured out.

Environment

INSTALLED VERSIONS ------------------ commit: d385e2063a6b5919e1fe9dd3e27a24bc7117137e python: 3.10.8 | packaged by conda-forge | (main, Nov 22 2022, 08:26:04) [GCC 10.4.0] python-bits: 64 OS: Linux OS-release: 6.1.6-200.fc37.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: None LOCALE: ('en_US', 'UTF-8') libhdf5: 1.12.2 libnetcdf: 4.8.1 xarray: 2023.1.1.dev14+gd385e206 pandas: 1.5.3 numpy: 1.23.5 scipy: 1.10.0 netCDF4: 1.6.0 pydap: installed h5netcdf: 1.1.0 h5py: 3.8.0 Nio: None zarr: 2.13.3 cftime: 1.6.2 nc_time_axis: 1.4.1 PseudoNetCDF: 3.2.2 rasterio: 1.3.4 cfgrib: 0.9.10.3 iris: 3.4.0 bottleneck: 1.3.6 dask: 2023.1.1 distributed: 2023.1.1 matplotlib: 3.6.3 cartopy: 0.21.1 seaborn: 0.12.2 numbagg: 0.2.2 fsspec: 2023.1.0 cupy: None pint: 0.20.1 sparse: 0.13.0 flox: 0.6.7 numpy_groupies: 0.9.20 setuptools: 66.1.1 pip: 22.3.1 conda: 22.11.1 pytest: 7.2.1 mypy: None IPython: None sphinx: None 
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   completed 13221727 issue

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