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  • keewis · 3 ✖

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  • WIP: testing.assert_* check dtype · 3 ✖

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  • MEMBER · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
774106999 https://github.com/pydata/xarray/pull/4760#issuecomment-774106999 https://api.github.com/repos/pydata/xarray/issues/4760 MDEyOklzc3VlQ29tbWVudDc3NDEwNjk5OQ== keewis 14808389 2021-02-05T15:35:18Z 2021-02-05T16:00:17Z MEMBER

to really fix this we need some way to say "I really want to convert to a numpy.ndarray" (unfortunately, np.asarray seems to be commonly used as "ensure that this is a numpy.ndarray"). That's the same issue as with cupy.Array, which will raise in __array__.

 
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   WIP: testing.assert_* check dtype 778069594
774115528 https://github.com/pydata/xarray/pull/4760#issuecomment-774115528 https://api.github.com/repos/pydata/xarray/issues/4760 MDEyOklzc3VlQ29tbWVudDc3NDExNTUyOA== keewis 14808389 2021-02-05T15:49:32Z 2021-02-05T15:59:52Z MEMBER

yes, I agree that it makes sense to set warnings to "always" in the assert_* functions.

 
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   WIP: testing.assert_* check dtype 778069594
774024142 https://github.com/pydata/xarray/pull/4760#issuecomment-774024142 https://api.github.com/repos/pydata/xarray/issues/4760 MDEyOklzc3VlQ29tbWVudDc3NDAyNDE0Mg== keewis 14808389 2021-02-05T13:10:27Z 2021-02-05T14:14:20Z MEMBER

the difference is that the unit registry has force_ndarray_like enabled. This is important because a pint.Quantity wrapping a python scalar is not a duck array, so the unit gets stripped.

 
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   WIP: testing.assert_* check dtype 778069594

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