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/5540#issuecomment-1176402083,https://api.github.com/repos/pydata/xarray/issues/5540,1176402083,IC_kwDOAMm_X85GHnij,5635139,2022-07-06T16:00:08Z,2022-07-06T16:00:08Z,MEMBER,"Resurrecting this, as discussed on the dev call.

Could we replace the pandas decorator with the one from the standard library? That may require adding `__dict__` as a slot.

Then as long as the benchmarks still look good, there was consensus that we should merge.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,930918574
https://github.com/pydata/xarray/pull/5540#issuecomment-869922912,https://api.github.com/repos/pydata/xarray/issues/5540,869922912,MDEyOklzc3VlQ29tbWVudDg2OTkyMjkxMg==,14371165,2021-06-28T18:35:38Z,2021-06-28T18:35:38Z,MEMBER,"The case I'm optimizing is dataset interpolation with many variables. Although it's not the bottleneck there I halved the shape time from ~180ms to ~92ms with this change.

","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,930918574
https://github.com/pydata/xarray/pull/5540#issuecomment-869286696,https://api.github.com/repos/pydata/xarray/issues/5540,869286696,MDEyOklzc3VlQ29tbWVudDg2OTI4NjY5Ng==,5635139,2021-06-28T02:22:07Z,2021-06-28T02:22:07Z,MEMBER,"Thanks for kicking this off @Illviljan .

My concern with this is that adding the `_cache` nullifies the benefits of slots. @keewis do you have any thoughts?

It also sounds like the speed-ups I was seeing might not be real. Probably we should have an ASV so there's a benchmark we're all looking at.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,930918574