code: def sortNDHelperB(best, worst, obj, front):
      """Assign front numbers to the solutions in H according to the solutions
      in L. The solutions in L are assumed to have correct front numbers and the
      solutions in H are not compared with each other, as this is supposed to
      happen after sortNDHelperB is called."""
      key = itemgetter(obj)
      if len(worst) == 0 or len(best) == 0:
          # One of the lists is empty: nothing to do
          return
      elif len(best) == 1 or len(worst) == 1:
          # One of the lists has one individual: compare directly
          for hi in worst:
              for li in best:
                  if (
                      isDominated(hi[: obj + 1], li[: obj + 1])
                      or hi[: obj + 1] == li[: obj + 1]
                  ):
                      front[hi] = max(front[hi], front[li] + 1)
      elif obj == 1:
          sweepB(best, worst, front)
      elif key(min(best, key=key)) >= key(max(worst, key=key)):
          # All individuals from L dominate H for objective M:
          # Also supports the case where every individuals in L and H
          # has the same value for the current objective
          # Skip to objective M-1
          sortNDHelperB(best, worst, obj - 1, front)
      elif key(max(best, key=key)) >= key(min(worst, key=key)):
          best1, best2, worst1, worst2 = splitB(best, worst, obj)
          sortNDHelperB(best1, worst1, obj, front)
          sortNDHelperB(best1, worst2, obj - 1, front)
          sortNDHelperB(best2, worst2, obj, front)
  
imports: import bisect
  from collections import defaultdict, namedtuple
  from itertools import chain
  import math
  from operator import attrgetter, itemgetter
  import random
  import numpy
label_desc: Use image node_id 12 for calling a global function with example usage: sortNDHelperB(best, worst, obj, front) without return types