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You and I seem to have different definitions of "experimental feature" then. By your definition, I don't think they did anything wrong. dataclasses in the stand

• Mehdi2277 6y ago
  Data classes do not do runtime type checking. They are a way for static type checkers to do validation. So there’s no issue for data classes in 3.10.
  • nemetroid 6y ago
    Data classes don't do runtime type checking, but they do provide dynamic type info through dataclasses.fields(). This function returns a tuple of Field objects, and according to the documentation[1], Field includes the attribute "type": type: The type of the field. In Python 3.10, this now returns a string. In my opinion that's a bug (perhaps in the docs). I verified this using a short test program: import dataclasses @dataclasses.dataclass class Apa: bepa: int first_field = dataclasses.fields(Apa)[0] print(type(first_field.type)) Running with 3.9 and 3.10: $ python test.py # Python 3.9 <class 'type'> $ python3.10 test.py <class 'str'> 1: https://docs.python.org/3.10/library/dataclasses.html#dataclasses.Field https://docs.python.org/3.10/library/dataclasses.html#datacl...
    • nerdponx 6y ago
      That is indeed annoying. Thanks for the example.
  • travisjungroth 6y ago
    The variable annotations are used at runtime to define the fields. They aren't type checked.