code: def test_label_distribution(self):
      G1 = nx.Graph(
          [
              (0, 1),
              (0, 2),
              (1, 2),
              (2, 3),
              (2, 4),
              (3, 4),
              (2, 5),
              (2, 6),
          ]
      )
      G2 = nx.Graph(
          [
              (0, 1),
              (0, 2),
              (1, 2),
              (2, 3),
              (2, 4),
              (3, 4),
              (2, 5),
              (2, 6),
          ]
      )
  
      colors1 = [
          "blue",
          "blue",
          "blue",
          "yellow",
          "black",
          "purple",
          "purple",
      ]
      colors2 = [
          "blue",
          "blue",
          "yellow",
          "yellow",
          "black",
          "purple",
          "purple",
      ]
  
      nx.set_node_attributes(
          G1, dict(zip(G1, it.cycle(colors1[::-1]))), "label"
      )
      nx.set_node_attributes(
          G2, dict(zip(G2, it.cycle(colors2[::-1]))), "label"
      )
  
      assert not vf2pp_is_isomorphic(G1, G2, node_label="label")
      G2.nodes[3]["label"] = "blue"
      assert vf2pp_is_isomorphic(G1, G2, node_label="label")
  
imports: import itertools
  import pytest
  import networkx
  from networkx import vf2pp_is_isomorphic, vf2pp_isomorphism
label_desc: Use image node_id 9 for calling the TestPreCheck obj's underlying member method code with example usage: obj.test_label_distribution() without return types