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/2370#issuecomment-413775977,https://api.github.com/repos/pydata/xarray/issues/2370,413775977,MDEyOklzc3VlQ29tbWVudDQxMzc3NTk3Nw==,1217238,2018-08-17T06:58:21Z,2018-08-17T06:58:21Z,MEMBER,"There has been discussion about changing this condo-forge dependencies for xarray: https://github.com/conda-forge/xarray-feedstock/issues/5. Bottleneck definitely isn’t a true required dependency.

Does it work to simply specify an explicit dtype in the sum?

I also wonder if it’s really worth the hassle of using bottleneck here, given these numerical precision issues and how it can’t be used with cask. But I do think it still probably offers a meaningful speedup in many cases....
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