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  • keewis · 4 ✖

issue 1

  • Change isinstance checks to duck Dask Array checks #4208 · 4 ✖

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  • MEMBER · 4 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
682427800 https://github.com/pydata/xarray/pull/4221#issuecomment-682427800 https://api.github.com/repos/pydata/xarray/issues/4221 MDEyOklzc3VlQ29tbWVudDY4MjQyNzgwMA== keewis 14808389 2020-08-28T09:30:14Z 2020-08-28T09:30:14Z MEMBER

you mean the commit message? If so, you can use git commit --amend to change it (make sure you don't have anything staged because that would be added to the commit) and force-push. It's not that important, though, I doubt anyone really reads the commit messages.

 
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   Change isinstance checks to duck Dask Array checks #4208 656163384
681982126 https://github.com/pydata/xarray/pull/4221#issuecomment-681982126 https://api.github.com/repos/pydata/xarray/issues/4221 MDEyOklzc3VlQ29tbWVudDY4MTk4MjEyNg== keewis 14808389 2020-08-27T14:24:14Z 2020-08-27T14:24:14Z MEMBER

we went with https://github.com/pydata/xarray/blob/edd5c1e96204d59d30496e3f85e2f805a911ac9b/xarray/core/variable.py#L938 in #4379, you could use something like that here: https://github.com/pydata/xarray/blob/3337b6fc4024dcaa2c11831e6d34551adaee4a8b/xarray/core/formatting.py#L554 too, e.g. with: python def is_duck_array_or_ndarray(array): return is_duck_array(array) or (not IS_NEP18_ACTIVE and isinstance(data, np.ndarray))

 
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   Change isinstance checks to duck Dask Array checks #4208 656163384
681188808 https://github.com/pydata/xarray/pull/4221#issuecomment-681188808 https://api.github.com/repos/pydata/xarray/issues/4221 MDEyOklzc3VlQ29tbWVudDY4MTE4ODgwOA== keewis 14808389 2020-08-27T00:17:12Z 2020-08-27T00:23:49Z MEMBER

yes, the failing test is definitely due to NEP18: there's a numpy array in an attribute, but since numpy 1.15 doesn't define __array_function__, is_duck_array returns False. We could extend is_duck_array with an isinstance check for numpy.ndarray, or we could take your suggestion and xfail the test. Not sure which is better.

black recently released a new version, which changed the way it treats a trailing comma, and it also reformats docstrings (at least as much as it can without breaking formats), but neither conda nor the pre-commit hook install the new version (yet). To make the diff of this PR as small as possible, I'm opening a new PR with just the automatic changes, once that is merged, it should be fixed by merging in master.

Edit: see #4381

 
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   Change isinstance checks to duck Dask Array checks #4208 656163384
658130892 https://github.com/pydata/xarray/pull/4221#issuecomment-658130892 https://api.github.com/repos/pydata/xarray/issues/4221 MDEyOklzc3VlQ29tbWVudDY1ODEzMDg5Mg== keewis 14808389 2020-07-14T11:37:23Z 2020-07-14T11:37:23Z MEMBER

Revisiting it I now realize that is_array_like is actually not a good name for that function: officially, "array_like" means that it can be casted using np.asarray. Maybe we should rename that to is_duck_array? But then we'd also need to check for __array_ufunc__ and __array_function__ because we also need those to properly wrap duck arrays.

 
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   Change isinstance checks to duck Dask Array checks #4208 656163384

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