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/3706#issuecomment-589874060,https://api.github.com/repos/pydata/xarray/issues/3706,589874060,MDEyOklzc3VlQ29tbWVudDU4OTg3NDA2MA==,5635139,2020-02-21T23:05:37Z,2020-02-21T23:05:37Z,MEMBER,"> Although, I had interpreted @max-sixty's comment [#3238 (comment)](https://github.com/pydata/xarray/pull/3238#issuecomment-533181017) to mean that dtypes are compared, it appears from @shoyer's comment [#3706 (comment)](https://github.com/pydata/xarray/pull/3706#issuecomment-583259053) that this not the case. 

I was wrong; I should have at least realized I didn't know.  Apologies if that caused wasted time @jthielen 

Separately: should `assert_identical` assert that the dtypes are the same? I'd have thought there should be some way of testing whether dtypes are consistent with expectations, and I'd have thought `assert_identical` would be it? ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,551680561