issue_comments: 961370482

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https://github.com/pydata/xarray/issues/5629#issuecomment-961370482 https://api.github.com/repos/pydata/xarray/issues/5629 961370482 IC_kwDOAMm_X845TVly 2448579 2021-11-04T19:56:35Z 2021-11-04T19:57:13Z MEMBER

a clever trick to get around the apply_ufunc constraints

To clarify, the constraint here is that lstsq expects 2D arrays, that's why the reshaping was needed in the first place.

apply_ufunc(..., dask="parallelized") automatically applies your dask-unaware function blockwise which only makes sense if there is a single chunk along the core dimension, hence that constraint.

apply_ufunc(..., dask="allowed") has no constraints, your function has to know how to deal with chunked data though.

uses blockwise to apply a function that reshapes the data in that block to be 1D.

Yes, same idea. Though when you do it that way, you have to implement the function you're applying (that xhistogram PR reimplements dask.array.bincount). Reimplementing lstsq is a lot more complicated, hence this approach.

 
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