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/7201#issuecomment-1291296935,https://api.github.com/repos/pydata/xarray/issues/7201,1291296935,IC_kwDOAMm_X85M96Cn,6628425,2022-10-26T00:59:01Z,2022-10-26T00:59:01Z,MEMBER,"> For good measure I also added some assertions that the dtypes after conversion were all of nanosecond precision.

...which turned up a case that was not valid under the existing pandas version, so I added another separate test.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1419972576
https://github.com/pydata/xarray/pull/7201#issuecomment-1291275729,https://api.github.com/repos/pydata/xarray/issues/7201,1291275729,IC_kwDOAMm_X85M903R,6628425,2022-10-26T00:22:20Z,2022-10-26T00:22:20Z,MEMBER,Thanks @dcherian -- I did my best to try and cover our bases.  For good measure I also added some assertions that the dtypes after conversion were all of nanosecond precision.  ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1419972576
https://github.com/pydata/xarray/pull/7201#issuecomment-1291029764,https://api.github.com/repos/pydata/xarray/issues/7201,1291029764,IC_kwDOAMm_X85M840E,2448579,2022-10-25T19:21:44Z,2022-10-25T19:21:44Z,MEMBER,Thanks @spencerkclark I didn't look at the tests too closely but they seem very thorough!,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1419972576