Hi Eric, I have on question not addressed yet. The implementation is based on "__annotations__" where the type is specified. But "__annotations__" is not always filled. An interpreter version with special optimization could remove all __annotations__ for performance reasons. (Discussed in other threads)
In this case the dataclass does not work or will there be a fallback? I know it is a little bit hypothetical because an interpreter with this optimization is not there yet. I am looking only in the future a bit. Asking this because type annotations are stated as completely optional for Python. And this use case will break this assumption. Personally I am a heavy user of attrs and happy to have a dataclass in the std lib. Regards Wolfgang _______________________________________________ Python-Dev mailing list Python-Dev@python.org https://mail.python.org/mailman/listinfo/python-dev Unsubscribe: https://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
