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/4807#issuecomment-762852212,https://api.github.com/repos/pydata/xarray/issues/4807,762852212,MDEyOklzc3VlQ29tbWVudDc2Mjg1MjIxMg==,14808389,2021-01-19T13:52:22Z,2021-01-19T13:53:35Z,MEMBER,"that makes sense, I agree we don't really have to figure out what the actual cause was. If this pops up again we can just wait on the CI to open a new issue.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,785573964
https://github.com/pydata/xarray/issues/4807#issuecomment-762722751,https://api.github.com/repos/pydata/xarray/issues/4807,762722751,MDEyOklzc3VlQ29tbWVudDc2MjcyMjc1MQ==,10194086,2021-01-19T09:38:58Z,2021-01-19T09:38:58Z,MEMBER,As it touches *all* backends my bet would be on numpy or pandas - maybe numpy/numpy#18152? I think it's not really worth digging - so I suggest to close this.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,785573964
https://github.com/pydata/xarray/issues/4807#issuecomment-762535058,https://api.github.com/repos/pydata/xarray/issues/4807,762535058,MDEyOklzc3VlQ29tbWVudDc2MjUzNTA1OA==,14808389,2021-01-19T00:53:52Z,2021-01-19T02:17:13Z,MEMBER,"interestingly, [this](https://github.com/pydata/xarray/runs/1715328404?check_suite_focus=true) didn't fail in the [run yesterday](https://github.com/pydata/xarray/runs/1718613156?check_suite_focus=true). As far as I can tell, only the versions of `identify`, `bottleneck`, `numpy`, and `pandas` changed. Not sure if any of these could have fixed this. Maybe we did without noticing it?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,785573964
https://github.com/pydata/xarray/issues/4807#issuecomment-760998226,https://api.github.com/repos/pydata/xarray/issues/4807,760998226,MDEyOklzc3VlQ29tbWVudDc2MDk5ODIyNg==,10194086,2021-01-15T15:12:06Z,2021-01-15T15:12:06Z,MEMBER,"I guess the failure could easily be fixed - replace `""abc""` by `b""abc""` but the question is - why does this raise a `NotImplementedError` and still manage to write the file (for all backends)? When I try it locally I only get an empty netCDF.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,785573964
https://github.com/pydata/xarray/issues/4807#issuecomment-760361443,https://api.github.com/repos/pydata/xarray/issues/4807,760361443,MDEyOklzc3VlQ29tbWVudDc2MDM2MTQ0Mw==,14808389,2021-01-14T17:57:04Z,2021-01-14T17:57:04Z,MEMBER,"this is unrelated to #4759, the errors appeared before that (see https://github.com/pydata/xarray/runs/1684617075). The issue was opened today because the scheduled CI was broken until the merge of #4806.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,785573964
https://github.com/pydata/xarray/issues/4807#issuecomment-760094155,https://api.github.com/repos/pydata/xarray/issues/4807,760094155,MDEyOklzc3VlQ29tbWVudDc2MDA5NDE1NQ==,10194086,2021-01-14T10:06:54Z,2021-01-14T10:06:54Z,MEMBER,"* I wonder if that has something to do with  #4759. But why would this only fail upstream?
* It is also similar to  #4570 but h5py is still pinned...
* Some of also seems to be correctly failing: we have `encoding = {""dtype"": ""S1""}` but `expected` has dtype `U1`.
* The tests are enclosed with `with pytest.raises(NotImplementedError):` should these not fail if no error is raised? So why do we even get a result...
* Why are some dask arrays not evaluated in `assert_identical`?





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