issue_comments: 1409268444
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/pull/7489#issuecomment-1409268444 | https://api.github.com/repos/pydata/xarray/issues/7489 | 1409268444 | IC_kwDOAMm_X85T_7rc | 11656932 | 2023-01-30T20:13:16Z | 2023-01-30T20:13:16Z | CONTRIBUTOR | Hmm I'm not able to reproduce with this example using the latest ```python In [1]: import dask In [2]: dask.utils.show_versions() { "Python": "3.10.4", "Platform": "Darwin", "dask": "2023.1.1+3.gdb5b2178a", "distributed": "2023.1.1", "numpy": "1.24.1", "pandas": "2.0.0.dev0+1309.g7f2aa8f46a", "cloudpickle": "2.0.0", "fsspec": "2023.1.0+5.g012816b", "bokeh": "2.4.3", "fastparquet": "2022.12.1.dev6", "pyarrow": "11.0.0.dev316", "zarr": "2.4.1.dev528" } In [3]: from distributed import Client In [4]: type(dask.base.get_scheduler()) Out[4]: NoneType In [5]: c = Client() In [6]: dask.base.get_scheduler() Out[6]: <bound method Client.get of \<Client: 'tcp://127.0.0.1:61659' processes=4 threads=8, memory=16.00 GiB>> ``` |
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