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- Typing with Variadic Generics in python 3.11 (PEP 646) · 3 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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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 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 |
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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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