> you'd just add *args and **kwargs to the init signature and call super().__init__(*args, **kwargs).
> > Which is what the OP is after. > Hmm, makes me wonder if there should be an option to define a __pre_init__ method. Then you could customize the signature, but still use data classes nifty features for the primary __init__ And no, I haven’t thought this out, it would be tricky, and maybe impossible. Which brings me back to the suggestion in a PR: Optional have the __init__ accept *args, *kwargs, and then store them in self. Then users could do whatever they like with them in __post_init -Chris It becomes more painful the more parameters the parent has- parameters > which the dataclass may not even care about. It not only makes the class > definition long, it adds so these additional parameters to the init > signature, which is icky for introspection and discoverability. Lots of > "What the heck is this parameter doing here?" head scratching for future me > (because I forget everything). > > There's currently not a very compelling solution, AFAIK, to be able to use > dataclasses in these kinds of situations ("these kinds" = any situation > other than the most simple) other than the solution Christopher Barker > suggested: using a mixin approach that treats the dataclass parameters > specially. So I just haven't. > > I did write a decorator of my own that replaces the dataclass init with > one that calls super().__init__(*args, **kwargs) first before proceeding > with the one written by dataclasses... I can't find it at the moment. But > that has its own problems; one being the IDE doesn't know the init has been > rewritten this way and so will complain about parameters sent to the > dataclass that it doesn't know about. > >> -- Christopher Barker, PhD Python Language Consulting - Teaching - Scientific Software Development - Desktop GUI and Web Development - wxPython, numpy, scipy, Cython
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