clean up old file

selfdrive/car/data_structures.py

@@ -122,35 +122,3 @@ class CarParams:
     programmedFuelInjection = auto()
 
     debug = auto()
-
-
-@auto_dataclass
-class CarControl:
-  enabled: bool = auto_field()
-  pts: list[int] = auto_field()
-  logMonoTime: int = auto_field()
-  test: None = auto_field()
-
-
-# testing: if origin_typ in (int, float, str, bytes, list, tuple, set, dict, bool):
-@auto_dataclass
-class Test997:
-  a: int = auto_field()
-  b: float = auto_field()
-  c: str = auto_field()
-  d: bytes = auto_field()
-  e: list[int] = auto_field()
-  f: tuple[int] = auto_field()
-  g: set[int] = auto_field()
-  h: dict[str, int] = auto_field()
-  i: bool = auto_field()
-  ecu: CarParams.Ecu = auto_field()
-  carFw: CarParams.CarFw = auto_field()
-
-# Out[4]: Test997(a=0, b=0.0, c='', d=b'', e=[], f=(), g=set(), h={}, i=False)
-
-CarControl()
-
-CP = CarParams()
-CP.carFw = [CarParams.CarFw()]
-# CP.carFw = [CarParams.Ecu.eps]

selfdrive/car/data_test_kinda_works_chatgpt.py

@@ -1,43 +0,0 @@
-# import attr
-from enum import Enum
-from typing import get_origin, get_args, get_type_hints
-from dataclasses import dataclass, field, is_dataclass
-
-auto_obj = object()
-
-
-def auto_field():
-  return auto_obj
-
-
-def apply_auto_fields(cls):
-  cls_annotations = cls.__dict__.get('__annotations__', {})
-  for name, typ in cls_annotations.items():
-    current_value = getattr(cls, name, None)
-    if current_value is auto_obj:
-      origin_typ = get_origin(typ) or typ
-      if isinstance(origin_typ, str):
-        raise TypeError(f"Forward references are not supported for auto_field: '{origin_typ}'. Use a default_factory with lambda instead.")
-      elif origin_typ in (int, float, str, bytes, list, tuple, set, dict, bool) or is_dataclass(origin_typ):
-        setattr(cls, name, field(default_factory=origin_typ))
-      elif origin_typ is None:
-        setattr(cls, name, field(default=origin_typ))
-      elif issubclass(origin_typ, Enum):  # first enum is the default
-        setattr(cls, name, field(default=next(iter(origin_typ))))
-      else:
-        raise TypeError(f"Unsupported type for auto_field: {origin_typ}")
-  return cls
-
-
-@dataclass
-@apply_auto_fields
-class CarControl:
-  enabled: bool = auto_field()
-  pts: list[int] = auto_field()
-  logMonoTime: list[int] = field(default_factory=lambda: [1, 2, 3])
-
-
-# This will now work with default values set by the decorator
-car_control_instance = CarControl()
-print(car_control_instance.enabled)  # Should print False
-print(car_control_instance.pts)  # Should print []