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  • rpmanser · 1 ✖

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  • Support for duck Dask Arrays · 1 ✖

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  • CONTRIBUTOR · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
656349279 https://github.com/pydata/xarray/issues/4208#issuecomment-656349279 https://api.github.com/repos/pydata/xarray/issues/4208 MDEyOklzc3VlQ29tbWVudDY1NjM0OTI3OQ== rpmanser 19578931 2020-07-09T21:01:07Z 2020-07-09T21:01:07Z CONTRIBUTOR

I can go ahead with putting together a PR for this. Before I do so, I'd like to clarify what is expected.

  • Implement the is_duck_dask_array() function
  • In that implementation, use dask.base.is_dask_collection() and the existing duck array check(s)
  • Replace isinstance(x, dask.array.Array) checks with the new is_dask_duck_array() function

I searched for existing duck array checks in xarray and nothing immediately obvious to me is showing up. It looks like a check for __array_function__ is inappropriate based on discussion in #3917. Could someone point out the proper duck array check?

 
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   Support for duck Dask Arrays 653430454

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