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  • keewis · 2 ✖

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  • DataArray.clip() no longer supports the out argument · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
835562066 https://github.com/pydata/xarray/issues/5278#issuecomment-835562066 https://api.github.com/repos/pydata/xarray/issues/5278 MDEyOklzc3VlQ29tbWVudDgzNTU2MjA2Ng== keewis 14808389 2021-05-08T23:04:30Z 2021-05-08T23:04:30Z MEMBER

__array_wrap__ doesn't allow specifying any kwargs (as far as I can tell), it has two parameters: obj and context. I'd have to read up on this, but obj seems to be the data (from asarray or __array_prepare__?) and context seems to be None most of the time.

In any case, I think we should try to replace __array_wrap__ with __array_function__ (or __array_module__ / __array_namespace__?) soon.

Also, I agree on being consistent regarding the out parameter.

 
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   DataArray.clip() no longer supports the out argument 879033384
835529368 https://github.com/pydata/xarray/issues/5278#issuecomment-835529368 https://api.github.com/repos/pydata/xarray/issues/5278 MDEyOklzc3VlQ29tbWVudDgzNTUyOTM2OA== keewis 14808389 2021-05-08T21:45:32Z 2021-05-08T21:46:35Z MEMBER

clip dispatches through __array_function__ (it's not a real "ufunc"), so we don't really support that (there's a issue for adding __array_function__, but no progress yet). In general I think we should only support functions which don't have a axis parameter and return NotImplemented for all others, which means clip would be a good candidate.

We currently do have some support for numpy.clip(arr, ...) through __array_wrap__ (so no support for Dataset), not sure if that even allows deviating from a standard?

 
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   DataArray.clip() no longer supports the out argument 879033384

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