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/7162#issuecomment-1282016895,https://api.github.com/repos/pydata/xarray/issues/7162,1282016895,IC_kwDOAMm_X85MagZ_,4160723,2022-10-18T08:35:29Z,2022-10-18T08:49:47Z,MEMBER,">  Indexes.copy_indexes might also require some update that includes the memo argument. But not sure if that will solve the issue here.

That's a possible cause. Alignment may fail early because `.xindexes` returns different mappings of coordinates vs. index objects. It's worth checking if after copying the dataset, `copy.xindexes` returns the same CRSIndex object for its ""x"", ""y"" and ""spatial_ref"" coordinates.

EDIT: checking `copy.xindexes.group_by_index()` is more convenient.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1409811164
https://github.com/pydata/xarray/issues/7162#issuecomment-1282024919,https://api.github.com/repos/pydata/xarray/issues/7162,1282024919,IC_kwDOAMm_X85MaiXX,4160723,2022-10-18T08:41:08Z,2022-10-18T08:41:08Z,MEMBER,"The refactored alignment logic could be improved (cf. #7002). The error raised in the method below is not very helpful.

https://github.com/pydata/xarray/blob/ab726c536464fbf4d8878041f950d2b0ae09b862/xarray/core/alignment.py#L294-L333","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1409811164