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  • Use deepcopy recursively on numpy arrays · 7 ✖

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682003349 https://github.com/pydata/xarray/pull/4379#issuecomment-682003349 https://api.github.com/repos/pydata/xarray/issues/4379 MDEyOklzc3VlQ29tbWVudDY4MjAwMzM0OQ== max-sixty 5635139 2020-08-27T14:58:21Z 2020-08-27T14:58:21Z MEMBER

@darikg Thank you for the contribution!

If you want to put a whatsnew, feel free to — either as a new PR or if you're planning any more contributions atm, then as part of that. Not obligatory though

 
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   Use deepcopy recursively on numpy arrays 686495257
682002273 https://github.com/pydata/xarray/pull/4379#issuecomment-682002273 https://api.github.com/repos/pydata/xarray/issues/4379 MDEyOklzc3VlQ29tbWVudDY4MjAwMjI3Mw== max-sixty 5635139 2020-08-27T14:56:33Z 2020-08-27T14:56:33Z MEMBER

Great, let's merge both?

 
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   Use deepcopy recursively on numpy arrays 686495257
681987321 https://github.com/pydata/xarray/pull/4379#issuecomment-681987321 https://api.github.com/repos/pydata/xarray/issues/4379 MDEyOklzc3VlQ29tbWVudDY4MTk4NzMyMQ== keewis 14808389 2020-08-27T14:32:46Z 2020-08-27T14:32:46Z MEMBER

actually, we should probably merge #4381 to fix the formatting.

 
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   Use deepcopy recursively on numpy arrays 686495257
681985792 https://github.com/pydata/xarray/pull/4379#issuecomment-681985792 https://api.github.com/repos/pydata/xarray/issues/4379 MDEyOklzc3VlQ29tbWVudDY4MTk4NTc5Mg== max-sixty 5635139 2020-08-27T14:30:17Z 2020-08-27T14:30:17Z MEMBER

This looks good to go! There's one small formatting fix, and then we can merge. Cheers @darikg 

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   Use deepcopy recursively on numpy arrays 686495257
681103837 https://github.com/pydata/xarray/pull/4379#issuecomment-681103837 https://api.github.com/repos/pydata/xarray/issues/4379 MDEyOklzc3VlQ29tbWVudDY4MTEwMzgzNw== keewis 14808389 2020-08-26T20:22:55Z 2020-08-26T20:22:55Z MEMBER

thanks for tracking this down. The easiest way to fix the test would be to decorate it with python pytest.mark.skipif(not IS_NEP18_ACTIVE, reason="requires NEP18") Even easier would be to bump numpy, but that doesn't seem to be possible right now.

We might also try to rewrite the condition to: python if ( hasattr(data, "__array_function__") or isinstance(data, dask_array_type) or (not IS_NEP18_ACTIVE and isinstance(data, np.ndarray)) ): data = copy.deepcopy(data)

Thoughts, @pydata/xarray?

 
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   Use deepcopy recursively on numpy arrays 686495257
681038709 https://github.com/pydata/xarray/pull/4379#issuecomment-681038709 https://api.github.com/repos/pydata/xarray/issues/4379 MDEyOklzc3VlQ29tbWVudDY4MTAzODcwOQ== keewis 14808389 2020-08-26T18:07:53Z 2020-08-26T18:07:53Z MEMBER

it seems that's a backwards compatibility issue with numpy: 1.15 fails while 1.19 works. I'm not sure in which version the fix was introduced, though

 
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   Use deepcopy recursively on numpy arrays 686495257
681031704 https://github.com/pydata/xarray/pull/4379#issuecomment-681031704 https://api.github.com/repos/pydata/xarray/issues/4379 MDEyOklzc3VlQ29tbWVudDY4MTAzMTcwNA== max-sixty 5635139 2020-08-26T17:54:07Z 2020-08-26T17:54:07Z MEMBER

Thanks for the PR @darikg !

Re tests failing — is there a chance python interns the object instance? Maybe worth trying with a less primitive object?

 
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   Use deepcopy recursively on numpy arrays 686495257

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