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  • shoyer · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
440089606 https://github.com/pydata/xarray/issues/1815#issuecomment-440089606 https://api.github.com/repos/pydata/xarray/issues/1815 MDEyOklzc3VlQ29tbWVudDQ0MDA4OTYwNg== shoyer 1217238 2018-11-20T00:16:31Z 2018-11-20T00:16:31Z MEMBER

I think we can do this inside the existing xarray.apply_ufunc, simply by using apply_gufunc instead of atop for the case where signature.num_outputs > 1 (which current raises NotImplementedError): https://github.com/pydata/xarray/blob/master/xarray/core/computation.py#L601

 
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   apply_ufunc(dask='parallelized') with multiple outputs 287223508
356410108 https://github.com/pydata/xarray/issues/1815#issuecomment-356410108 https://api.github.com/repos/pydata/xarray/issues/1815 MDEyOklzc3VlQ29tbWVudDM1NjQxMDEwOA== shoyer 1217238 2018-01-09T20:51:18Z 2018-01-09T20:51:18Z MEMBER

We need atop to support multiple output arguments (https://github.com/dask/dask/issues/702), or potentially a specialized wrapper for generalized ufuncs in dask (https://github.com/dask/dask/issues/1176).

 
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   apply_ufunc(dask='parallelized') with multiple outputs 287223508

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