Replace data_schema classes with more resilient ones

[nonowazu]

This changes out all the classes in ida/data_schema.py with dataclasses with several benefits:

• These are drop-in replacements to the existing classes

• You avoid a mutable default argument issue with every argument that's foo=[]

  At current, if you instantiate a class with the default, a second class with the default, append to the first instance's list, it will appear in the second instance; default_factory avoids this

• You get __repr__ for free so if you're examining in the console or just print(foo), you'll get poentially more useful output

• Not relevant here I don't think, but you get __eq__ for free too

• Gets rid of # type: comments since python has had relevant types for the classes for probably a decade now

• Removes a pass in DefinedData that was actually useless

I checked to make sure that nothing is attempting to mutate things like instances as a feature instead of a bug and I didn't see any at first glance.

Obviously, feedback etc appreciated.

[nonowazu]

As a note, if you don't accept this PR (perfectly fine - your repo and all), at least fix the mutable shared default by swapping it out with

def __init__(self, some_arg: list[X] = []):
    self.some_arg = some_arg

With something like

def __init__(self, some_arg: Optional[list[X]] = None):
    self.some_arg = some_arg if some_arg is not None else []

The reason for the gross ternary here is because some people may pass a (falsy) list reference expecting to be able to mutate that upstream reference and get it for free in the object.