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  • headtr1ck · 3 ✖

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  • Typing with Variadic Generics in python 3.11 (PEP 646) · 3 ✖

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  • COLLABORATOR · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1292692904 https://github.com/pydata/xarray/issues/7227#issuecomment-1292692904 https://api.github.com/repos/pydata/xarray/issues/7227 IC_kwDOAMm_X85NDO2o headtr1ck 43316012 2022-10-26T21:50:02Z 2022-10-26T21:50:02Z COLLABORATOR

I think this PEP is really more important for i.e. numpy. Something like array.sum(axis=1) is more error prone (1 instead of -1 or 2) than xarrays da.sum("time").

But yes, it is mainly for consumers.

Additionally, since xarray has its fancy broadcasting I am not sure that even with a working system we would get meaningful errors from static typecheckers. In numpy Array[Height] + Array[Width] would raise but in xarray this just works...

 
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   Typing with Variadic Generics in python 3.11 (PEP 646) 1424215477
1292228024 https://github.com/pydata/xarray/issues/7227#issuecomment-1292228024 https://api.github.com/repos/pydata/xarray/issues/7227 IC_kwDOAMm_X85NBdW4 headtr1ck 43316012 2022-10-26T15:30:39Z 2022-10-26T15:30:39Z COLLABORATOR

So the only way I could see is a tuple of dimension names, and even there we will have problems because the order does not really matter for us.

 
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   Typing with Variadic Generics in python 3.11 (PEP 646) 1424215477
1292221168 https://github.com/pydata/xarray/issues/7227#issuecomment-1292221168 https://api.github.com/repos/pydata/xarray/issues/7227 IC_kwDOAMm_X85NBbrw headtr1ck 43316012 2022-10-26T15:25:33Z 2022-10-26T15:25:33Z COLLABORATOR

Interesting idea. But see https://peps.python.org/pep-0646/#appendix-b-shaped-types-vs-named-axes

That basically says that named axes are not supported?

 
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   Typing with Variadic Generics in python 3.11 (PEP 646) 1424215477

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