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  • apply_ufunc(dask='parallelized') to infer output_dtypes · 3 ✖
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544859438 https://github.com/pydata/xarray/issues/1698#issuecomment-544859438 https://api.github.com/repos/pydata/xarray/issues/1698 MDEyOklzc3VlQ29tbWVudDU0NDg1OTQzOA== crusaderky 6213168 2019-10-22T08:33:36Z 2019-10-22T08:33:36Z MEMBER

Still valid

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  apply_ufunc(dask='parallelized') to infer output_dtypes 272002705
544847652 https://github.com/pydata/xarray/issues/1698#issuecomment-544847652 https://api.github.com/repos/pydata/xarray/issues/1698 MDEyOklzc3VlQ29tbWVudDU0NDg0NzY1Mg== stale[bot] 26384082 2019-10-22T07:58:58Z 2019-10-22T07:58:58Z NONE

In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity

If this issue remains relevant, please comment here or remove the stale label; otherwise it will be marked as closed automatically

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  apply_ufunc(dask='parallelized') to infer output_dtypes 272002705
342671007 https://github.com/pydata/xarray/issues/1698#issuecomment-342671007 https://api.github.com/repos/pydata/xarray/issues/1698 MDEyOklzc3VlQ29tbWVudDM0MjY3MTAwNw== shoyer 1217238 2017-11-08T00:36:21Z 2017-11-08T00:36:21Z MEMBER

Yes, this would be a reasonable this to do, although we should consider adding it upstream in dask.array.atop instead. atop is what powers dask='parallelized' under the hood.

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  apply_ufunc(dask='parallelized') to infer output_dtypes 272002705

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