def encode_default(dft: Any) -> Any:
    from .main import BaseModel

    if isinstance(dft, BaseModel) or is_dataclass(dft):
        dft = cast('dict[str, Any]', pydantic_encoder(dft))

    if isinstance(dft, dict):
        return {encode_default(k): encode_default(v) for k, v in dft.items()}
    elif isinstance(dft, Enum):
        return dft.value
    elif isinstance(dft, (int, float, str)):
        return dft
    elif isinstance(dft, (list, tuple)):
        t = dft.__class__
        seq_args = (encode_default(v) for v in dft)
        return t(*seq_args) if is_namedtuple(t) else t(seq_args)
    elif dft is None:
        return None
    else:
        return pydantic_encoder(dft)