Ensure that this works:

```python
@setup
def mytask():
    print("I am a setup task")

with dag_maker() as dag:
    mytask.override(task_id='newtask')

assert len(dag.task_group.children) == 1
setup_task = dag.task_group.children["newtask"]
assert setup_task._is_setup
```
and teardown also works
prefix = re.split(r"__\d+$", tg_task_id)[0]
        for task_id in dag.task_ids:
            match = re.match(rf"^{prefix}__(\d+)$", task_id)
            if match is None:
                continue
            yield int(match.group(1))
        yield 0  
    core = re.split(r"__\d+$", task_id)[0]
    return f"{core}__{max(_find_id_suffixes(dag)) + 1}"
class DecoratedOperator(BaseOperator):
    """
    Wraps a Python callable and captures args/kwargs when called for execution.
    :param python_callable: A reference to an object that is callable
    :param op_kwargs: a dictionary of keyword arguments that will get unpacked
        in your function (templated)
    :param op_args: a list of positional arguments that will get unpacked when
        calling your callable (templated)
    :param multiple_outputs: If set to True, the decorated function's return value will be unrolled to
        multiple XCom values. Dict will unroll to XCom values with its keys as XCom keys. Defaults to False.
    :param kwargs_to_upstream: For certain operators, we might need to upstream certain arguments
        that would otherwise be absorbed by the DecoratedOperator (for example python_callable for the
        PythonOperator). This gives a user the option to upstream kwargs as needed.
    """
    template_fields: Sequence[str] = ("op_args", "op_kwargs")
    template_fields_renderers = {"op_args": "py", "op_kwargs": "py"}
    
    
    shallow_copy_attrs: Sequence[str] = ("python_callable",)
    def __init__(