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  • shoyer · 2 ✖

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  • Support for duck Dask Arrays · 2 ✖

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  • MEMBER · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
655820797 https://github.com/pydata/xarray/issues/4208#issuecomment-655820797 https://api.github.com/repos/pydata/xarray/issues/4208 MDEyOklzc3VlQ29tbWVudDY1NTgyMDc5Nw== shoyer 1217238 2020-07-09T00:09:58Z 2020-07-09T00:09:58Z MEMBER

It might also make sense to check for one or more of the special dask collection attributes (__dask_graph__, __dask_keys__, etc)

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  Support for duck Dask Arrays 653430454
655810311 https://github.com/pydata/xarray/issues/4208#issuecomment-655810311 https://api.github.com/repos/pydata/xarray/issues/4208 MDEyOklzc3VlQ29tbWVudDY1NTgxMDMxMQ== shoyer 1217238 2020-07-08T23:31:21Z 2020-07-08T23:31:21Z MEMBER

Maybe something like this would work? def is_duck_dask_array(x): return getattr(x, 'chunks', None) is not None

xarray.DataArray would pass this test (chunks is either None for non-dask arrays or a tuple for dask arrays), so this would be consistent with what we already do.

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  Support for duck Dask Arrays 653430454

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