So say I have some flows in a class:

class SomeClass:

    def init(self):
           

               …
@flow(task_runner=DaskTaskRunner())
def __runmodel(self, *args):
     code to run model on dask 

@flow
def gen_args_run_model(self):
    args_list = #code to gen arg_list
    #arg_list  is a list of tuples which have args
    try:
         results=[self._runmodel(*args) for args in args_list]
   except:
           ….

I want to create a deployment for gen_args_run_model that I can then run and it will kick off the run_model sub flow on dask with each iteration of args in arg list, how would I go about this?

no didnt work