code: def test_disconnected_multigraph_all_different_labels(self):
      G1 = nx.MultiGraph()
      G1.add_nodes_from(list(range(10)))
      G1.add_edges_from([(i, i) for i in range(10)])
  
      mapped = {
          0: 9,
          1: 8,
          2: 7,
          3: 6,
          4: 5,
          5: 4,
          6: 3,
          7: 2,
          8: 1,
          9: 0,
      }
      G2 = nx.relabel_nodes(G1, mapped)
  
      nx.set_node_attributes(
          G1, dict(zip(G1, it.cycle(labels_many))), "label"
      )
      nx.set_node_attributes(
          G2,
          dict(zip([mapped[n] for n in G1], it.cycle(labels_many))),
          "label",
      )
      m = vf2pp_isomorphism(G1, G2, node_label="label")
      assert m
      assert m == mapped
  
      # Add self-loops to non-mapped nodes. Now it is not the same, as there are different labels
      G1.add_edges_from([(i, i) for i in range(5, 8)] * 3)
      m = vf2pp_isomorphism(G1, G2, node_label="label")
      assert not m
  
      # Add self-loops to non mapped nodes in G2 as well
      G2.add_edges_from([(mapped[i], mapped[i]) for i in range(3)] * 7)
      m = vf2pp_isomorphism(G1, G2, node_label="label")
      assert not m
  
      # Add self-loops to mapped nodes in G2
      G2.add_edges_from(
          [(mapped[i], mapped[i]) for i in range(5, 8)] * 3
      )
      m = vf2pp_isomorphism(G1, G2, node_label="label")
      assert not m
  
      # Add self-loops to G1 so that they are even in both graphs
      G1.add_edges_from([(i, i) for i in range(3)] * 7)
      m = vf2pp_isomorphism(G1, G2, node_label="label")
      assert m
  
imports: import itertools
  import pytest
  import networkx
  from networkx import vf2pp_is_isomorphic, vf2pp_isomorphism
label_desc: Use image node_id 11 for calling the TestMultiGraphISOVF2pp obj's underlying member method code with example usage: obj.test_disconnected_multigraph_all_different_labels() without return types