code: def evalEvoSN(individual, dimension):
      network = sn.SortingNetwork(dimension, individual)
      return network.assess(), network.length, network.depth
  
file_path: deap/doc/code/tutorials/part_4/4_4_Using_Cpp_NSGA.py
imports: import random
  from deap import algorithms
  from deap import base
  from deap import creator
  from deap import tools
  from deap import cTools
  import sortingnetwork
label_desc: Use image node_id 1 for calling a global function with example usage: evalEvoSN(individual, dimension) and returns: network,  network,  network