code: def parallel_multiplier(items):
      
      machines = []
      for data in (xs[0] for xs in items):
          machines.append(max(1, len(get_svcallers(data)), len(dd.get_algorithm_qc(data))))
      return sum(machines)
docs: Use more resources (up to available limits) if we have multiple QC samples/svcallers.