Hi, I wrote this code:

@task
def slicer():
    time.sleep(2)
    op = []
    for each in range(0, random.randint(1, 10)):
        op.append(each)
    return op

@task
def model_slide():
    logger = prefect.context.get("logger")
    time.sleep(2)
    <http://logger.info|logger.info>(f'model c: {datetime.now().strftime("%H:%M:%S")}')


if __name__ == "__main__":
    with Flow("processing-flow", executor=LocalDaskExecutor()) as flow:
        list_of_slices = slicer()
        for each in list_of_slices:
            create_flow_run(flow_name="other-processing-flow", project_name="poc")
        model_slide(upstream_task=[create_flow_run])

I'm getting the following error:

for each in list_of_slices:
TypeError: Task is not iterable. If your task returns multiple results, pass `nout` to the task decorator/constructor, or provide a `Tuple` return-type annotation to your task.

What am I doing wrong?

This is an understandable source of confusion but in Prefect 1.0 you can't use a for loop as you did it in:

for each in list_of_slices:

the Flow block is only to call tasks and define the structure. to run multiple child flow runs in parallel, try

create_flow_run.map()

instead