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  • keewis · 3 ✖

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  • Use deepcopy recursively on numpy arrays · 3 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
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
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

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