id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,active_lock_reason,draft,pull_request,body,reactions,performed_via_github_app,state_reason,repo,type
1401132297,PR_kwDOAMm_X85AZG38,7142,Fix Codecov,43316012,closed,0,,,8,2022-10-07T12:55:00Z,2023-08-30T18:58:19Z,2023-08-30T18:47:33Z,COLLABORATOR,,0,pydata/xarray/pulls/7142,"- [x] Closes #7141
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/7142/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
1421441672,PR_kwDOAMm_X85BcmP0,7209,Optimize some copying,43316012,closed,0,,,8,2022-10-24T21:00:21Z,2022-12-08T20:09:49Z,2022-11-30T23:36:56Z,COLLABORATOR,,0,pydata/xarray/pulls/7209,"- [x] Potentially closes #7181
- [x] Tests added
- [ ] User visible changes (including notable bug fixes) are documented in `whats-new.rst`

I have passed along some more memo dicts, which could prevent some double deep-copying of the same data (don't know how exactly, but who knows :P)
Also, I have found some copy calls that did not pass along the deep argument (I am not sure if that breaks things, lets find out).
And finally I have found some places where shallow copies are enough.

All together it should improve the performance a lot when copying things around.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/7209/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
1376479521,PR_kwDOAMm_X84_IJrz,7048,Add Ellipsis typehint to reductions,43316012,closed,0,,,8,2022-09-16T21:15:10Z,2022-09-28T18:02:51Z,2022-09-28T17:10:05Z,COLLABORATOR,,0,pydata/xarray/pulls/7048,"This PR adds the ellipsis typehint to reductions (only where they behave differently from None to reduce overhead).
Follow up on https://github.com/pydata/xarray/pull/7017#issuecomment-1243927061

Additionally I was changing a lot of ""one or more dimensions"" typehints to `str | Iterable[Hashable]` (See https://github.com/pydata/xarray/issues/6142).
Some code changes were necessary to support this fully. Before several things were not working with actual hashable dimensions that are not strings.


","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/7048/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
1315959612,PR_kwDOAMm_X847_0k6,6821,Fix numpy 1.20 incompatibility,43316012,closed,0,,,8,2022-07-24T17:10:24Z,2022-08-20T17:01:13Z,2022-07-30T21:11:08Z,COLLABORATOR,,0,pydata/xarray/pulls/6821,"This PR removes the `_SupportsDType` dependency from numpy and introduces its own.

Closes https://github.com/pydata/xarray/issues/6818","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/6821/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
1292091752,PR_kwDOAMm_X846vljd,6744,Fix `DataArrayRolling.__iter__` with `center=True`,43316012,closed,0,,,8,2022-07-02T16:36:00Z,2022-07-18T15:31:54Z,2022-07-14T17:41:01Z,COLLABORATOR,,0,pydata/xarray/pulls/6744,"- [x] Closes #6739
- [x] Tests added
- [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst`
- [x] ~~New functions/methods are listed in `api.rst`~~

I have taken the freedom to move all rolling related tests into their own testing module.
https://github.com/pydata/xarray/pull/6730 should then take care of the (by now) copy-pasted `da` and `ds` fixtures.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/6744/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull