__name__

__qualname__

def base_function():
    print("Hello from the base function")

def create_function_with_closure(new_name):
    def closure():
        return base_function()

    closure.__name__ = new_name
    closure.__qualname__ = new_name
    return closure

# Create a new function with a dynamic name
dynamic_func = create_function_with_closure("dynamic_func")
print(dynamic_func.__name__)  # Outputs: dynamic_func
dynamic_func()  # Calls the base_function

def setMethod(anomaly_runner: Runner, preprocess: Preprocess):
    async def predict_image(f: Image) -> list[InferenceDefect]:
        # do stuff and return
        return result
    return predict_image

for idx, (runner, preprocess, fullname) in enumerate(zip(runner_list, preprocess_list, model_names)):
    path = f"predict_image/{'/'.join(fullname.split('_')[:4])}"
    fn = setMethod(anomaly_runner=runner, preprocess=preprocess, index=idx)
    _api = InferenceAPI[IOType](  #  Reuse code from bentoml Decorator
        name=first_not_none(f"predict_image_{fullname}"),
        user_defined_callback=fn,
        input_descriptor=Image(),
        output_descriptor=JSON(),
        doc=None,
        route=path,
    )
    if _api.name in svc.apis:
        raise BentoMLException(
            f"API {_api.name} is already defined in Service {svc.name}"
        )
    svc.apis[_api.name] = _api