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  • Inspecting arguments with accessors · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1297218347 https://github.com/pydata/xarray/issues/7234#issuecomment-1297218347 https://api.github.com/repos/pydata/xarray/issues/7234 IC_kwDOAMm_X85NUfsr ljstrnadiii 3171991 2022-10-31T15:00:06Z 2022-10-31T15:09:42Z NONE

Yeah, I was afraid of that lol. This must also be a pandas issue, too, since they recommend a similar way of extending pandas dataframes. I couldn't find a similar pandas issue/pr and was a bit surprised by that.

My temp solution is to use type narrowing:

def use_domain_specific_dataset(dset: xr.Dataset): if not isinstance(dset.ma, MyAccessor): raise something # gets some type checking dset.ma.my_special_func() Seems to at least provide the basic sanity checks

 
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   Inspecting arguments with accessors 1427457128
1295446710 https://github.com/pydata/xarray/issues/7234#issuecomment-1295446710 https://api.github.com/repos/pydata/xarray/issues/7234 IC_kwDOAMm_X85NNvK2 headtr1ck 43316012 2022-10-28T20:43:07Z 2022-10-28T20:43:07Z COLLABORATOR

Unfortunately I don't think this is possible since this kind of inspection is using static code analysis while jupyter Notebook can inspect dynamically.

In https://github.com/pydata/xarray/pull/7117 I tried to enable this for mypy.

But without any kind of plugin I doubt it is possible to tell static checkers about this.

 
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   Inspecting arguments with accessors 1427457128

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