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
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