code: def testMultilevel(self):
      # Example graph from the paper
      random.seed(42)
      g = Graph(16)
      g += [
          (0, 2),
          (0, 3),
          (0, 4),
          (0, 5),
          (1, 2),
          (1, 4),
          (1, 7),
          (2, 4),
          (2, 5),
          (2, 6),
          (3, 7),
          (4, 10),
          (5, 7),
          (5, 11),
          (6, 7),
          (6, 11),
          (8, 9),
          (8, 10),
          (8, 11),
          (8, 14),
          (8, 15),
          (9, 12),
          (9, 14),
          (10, 11),
          (10, 12),
          (10, 13),
          (10, 14),
          (11, 13),
      ]
  
      cls = g.community_multilevel(return_levels=True)
      self.assertTrue(len(cls) == 2)
      self.assertMembershipsEqual(
          cls[0], [1, 1, 1, 0, 1, 1, 0, 0, 2, 2, 2, 3, 2, 3, 2, 2]
      )
      self.assertMembershipsEqual(
          cls[1], [0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1]
      )
      self.assertAlmostEqual(cls[0].q, 0.346301, places=5)
      self.assertAlmostEqual(cls[1].q, 0.392219, places=5)
  
      cls = g.community_multilevel()
      self.assertTrue(len(cls.membership) == g.vcount())
      self.assertMembershipsEqual(
          cls, [0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1]
      )
      self.assertAlmostEqual(cls.q, 0.392219, places=5)
  
imports: import math
  import random
  import unittest
  from igraph import Clustering, CohesiveBlocks, Cover, Graph, Histogram, InternalError, UniqueIdGenerator, VertexClustering, compare_communities, split_join_distance, set_random_number_generator
label_desc: Use image node_id 8 for calling the CommunityTests obj's underlying member method code with example usage: obj.testMultilevel() without return types