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  • mathause · 1 ✖

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  • output_dtypes needs to be a tuple, not a sequence · 1 ✖

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  • MEMBER · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
798999639 https://github.com/pydata/xarray/issues/5034#issuecomment-798999639 https://api.github.com/repos/pydata/xarray/issues/5034 MDEyOklzc3VlQ29tbWVudDc5ODk5OTYzOQ== mathause 10194086 2021-03-14T23:23:05Z 2021-03-14T23:23:05Z MEMBER

Hmm would be good to get a MVCE - may be a dask problem. Dask allows a "list of dtypes" according to its docstring.

  • dask.array.apply_gufunc: output_dtypes : Optional, dtype or list of dtypes, keyword only
  • np.vectorize: otypes : str or list of dtypes, optional

Unfortunately np.vectorize is not (yet) typed, but in anycase (and independent of your error report) we should probably write this as Sequence[DTypeLike] (or another container) using xr.core.npcompat.DTypeLike 

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   output_dtypes needs to be a tuple, not a sequence 831148018

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