html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/pull/4746#issuecomment-753416850,https://api.github.com/repos/pydata/xarray/issues/4746,753416850,MDEyOklzc3VlQ29tbWVudDc1MzQxNjg1MA==,1217238,2021-01-02T02:00:19Z,2021-01-02T02:00:19Z,MEMBER,@keewis any thoughts on the pint issue?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,777153550
https://github.com/pydata/xarray/pull/4746#issuecomment-753282125,https://api.github.com/repos/pydata/xarray/issues/4746,753282125,MDEyOklzc3VlQ29tbWVudDc1MzI4MjEyNQ==,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.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,777153550