re-running this code produces the same printoutsJust to be clear, you are saying the "random" results are consistent over runs ?

If I don't specify the type for N in the component I get an error because N is interpreted as a string.

Yes the default value is used for proper casting, In the next version we will use the type hints for that as well 🙂
If I un-comment the last two lines and rerun this script, the second pipeline call results in an error:I think that If you need multiple pipeline runs you should do:
@PipelineDecorator.pipeline(..., multi_instance_support=True)