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/4193#issuecomment-675046525,https://api.github.com/repos/pydata/xarray/issues/4193,675046525,MDEyOklzc3VlQ29tbWVudDY3NTA0NjUyNQ==,20629530,2020-08-17T18:42:51Z,2020-08-17T18:42:51Z,CONTRIBUTOR,@mathause Fixed the tests to catch the warning and added a case for the specific of the issue : too many nans causing a rank deficiency. ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,650044968
https://github.com/pydata/xarray/pull/4193#issuecomment-674153884,https://api.github.com/repos/pydata/xarray/issues/4193,674153884,MDEyOklzc3VlQ29tbWVudDY3NDE1Mzg4NA==,20629530,2020-08-14T16:23:12Z,2020-08-14T16:23:35Z,CONTRIBUTOR,"So while adding tests, I realized there were more bugs concerning deficient rank matrices and `full=True` output. I believe I fixed all I could find. 
However, I was not able to reduce the number of warnings for the case using dask : the computation occurs outside of the `catch_warnings()` context...
Also, there is a bug in the `dask.array.linalg.lstsq` output (see issue dask/dask#6516), so if `full=True` we must use  `skipna=True` with dask.  Same when rank != order (deficient rank), `dask.array.linalg.lstsq` will fail, so we work around by using our (slower) nan-skipping method.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,650044968