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/issues/6818#issuecomment-1215278493,https://api.github.com/repos/pydata/xarray/issues/6818,1215278493,IC_kwDOAMm_X85Ib62d,43316012,2022-08-15T16:18:10Z,2022-08-15T16:18:10Z,COLLABORATOR,"> Thanks for the quick fix. Is there a plan to have a quick patch release (e.g., 2022.6.1)?

I think the devs are still too busy to publish more releases.
Now it is already time for a 2022.8.0 release :)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1315607023
https://github.com/pydata/xarray/issues/6818#issuecomment-1193154771,https://api.github.com/repos/pydata/xarray/issues/6818,1193154771,IC_kwDOAMm_X85HHhjT,43316012,2022-07-23T16:53:47Z,2022-07-23T16:55:17Z,COLLABORATOR,"It seems that in 1.20 they started introducing typing but `_SupportsDType[np.dtype]` was not a generic yet.

Not really the fault of numpy, we are using a not-public interface.

So either we do a version check for 1.20, or we create our own SupportsDType (I assume a Protocol?)","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1315607023
https://github.com/pydata/xarray/issues/6818#issuecomment-1193103107,https://api.github.com/repos/pydata/xarray/issues/6818,1193103107,IC_kwDOAMm_X85HHU8D,43316012,2022-07-23T10:33:31Z,2022-07-23T14:39:36Z,COLLABORATOR,"Thanks for the report.
I have to admit, that when I implemented the problematic part I also only tested numpy 1.19 and >1.21... (same with CI)

It seems that in 1.20 they used a different approach.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1315607023