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  • shoyer · 2 ✖

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  • Faster unstacking · 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
753416850 https://github.com/pydata/xarray/pull/4746#issuecomment-753416850 https://api.github.com/repos/pydata/xarray/issues/4746 MDEyOklzc3VlQ29tbWVudDc1MzQxNjg1MA== shoyer 1217238 2021-01-02T02:00:19Z 2021-01-02T02:00:19Z MEMBER

@keewis any thoughts on the pint issue?

 
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   Faster unstacking 777153550
753282125 https://github.com/pydata/xarray/pull/4746#issuecomment-753282125 https://api.github.com/repos/pydata/xarray/issues/4746 MDEyOklzc3VlQ29tbWVudDc1MzI4MjEyNQ== shoyer 1217238 2021-01-01T07:52:14Z 2021-01-01T07:52:14Z MEMBER

Very nice!

I think we solve the issue with sparse by using np.full_like, which does dispatching on NumPy 1.17+ via NEP-18 __array_function__ (which I'm pretty sure sparse supports).

The bigger challenge that I'm concerned about here are dask arrays, which don't support array assignment like this at all (https://github.com/dask/dask/issues/2000). We will probably need to keep around the slower option for dask, at least for now.

 
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   Faster unstacking 777153550

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