issue_comments: 1198923887

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https://github.com/pydata/xarray/issues/6845#issuecomment-1198923887 https://api.github.com/repos/pydata/xarray/issues/6845 1198923887 IC_kwDOAMm_X85HdiBv 35968931 2022-07-29T06:23:59Z 2022-07-29T06:23:59Z MEMBER

My understanding is that if __array_function__ is working correctly you should never need to call cupy.round on your dataarray. Instead you should always be able to call np.round and trust that the __array_function__ implementation will dispatch to cupy's equivalent of round automatically.

Is there actually a case where we need the library-specific version of a numpy function to work too?

Do we need to update AbstractArray.array to return the underlying duck array instead of always a numpy array?

(Having said all that we might still want to make this change anyway, this was just an argument for the current behaviour being "good enough".)

 
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