code: def get_sorted_mapping(mapping_tuple, len1, len2):
      # Get sorted mapping of nodes/edges
      result_0 = [None] * len1
      result_1 = [None] * len2
      for i in range(len(mapping_tuple[0])):
          if (
              mapping_tuple[0][i] is not None
              and mapping_tuple[1][i] is not None
          ):
              result_0[mapping_tuple[0][i]] = mapping_tuple[1][i]
              result_1[mapping_tuple[1][i]] = mapping_tuple[0][i]
      return (result_0, result_1)
  
file_path: dgl/examples/pytorch/graph_matching/ged.py
imports: from copy import deepcopy
  from heapq import heapify, heappop, heappush, nsmallest
  import dgl
  import numpy
  from lapjv import lapjv
label_desc: Use image node_id 9 for calling a global function with example usage: get_sorted_mapping(mapping_tuple, len1, len2) and returns: result_0,  result_1