issue_comments: 604749478

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https://github.com/pydata/xarray/pull/3847#issuecomment-604749478 https://api.github.com/repos/pydata/xarray/issues/3847 604749478 MDEyOklzc3VlQ29tbWVudDYwNDc0OTQ3OA== 14808389 2020-03-27T00:10:27Z 2020-03-27T00:10:27Z MEMBER

The issue is with how dask<2.9.1 handles dtypes on compute (in nanvar?) when the data is an array with dtype object filled with False and some missing values represented by np.nan.

I really lack experience with dask, though, so I'm clueless as to what to do to fix that (besides calling compute before passing to allclose_or_equiv) and would appreciate help with this.

 
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