issue_comments: 894378303

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https://github.com/pydata/xarray/pull/5667#issuecomment-894378303 https://api.github.com/repos/pydata/xarray/issues/5667 894378303 IC_kwDOAMm_X841TyE_ 5635139 2021-08-06T16:35:33Z 2021-08-06T16:35:33Z MEMBER

Using a.copy() seems to be the way to go if you want to do a shallow copy of a dict.

That is an interesting result (even aside from the main result here, I'm not sure what python is doing such that copy.copy(a) has different performance from copy(a)!)

But python is slow, and nanos are short — unless there's a noticeable impact on the overall performance, then prioritizing flexibility and compatibility are more consistent with the goals of the library. Does that make sense?

 
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