code: def test_cut_inconsistent_labels(self):
      G1 = nx.DiGraph(
          [
              (0, 1),
              (2, 1),
              (10, 0),
              (10, 3),
              (10, 4),
              (5, 10),
              (10, 6),
              (1, 4),
              (5, 3),
          ]
      )
      G2 = nx.DiGraph(
          [
              ("a", "b"),
              ("c", "b"),
              ("k", "a"),
              ("k", "d"),
              ("k", "e"),
              ("f", "k"),
              ("k", "g"),
              ("b", "e"),
              ("f", "d"),
          ]
      )
  
      l1 = {n: "blue" for n in G1.nodes()}
      l2 = {n: "blue" for n in G2.nodes()}
      l1.update({5: "green"})  # Change the label of one neighbor of u
  
      gparams = _GraphParameters(
          G1, G2, l1, l2, nx.utils.groups(l1), nx.utils.groups(l2), None
      )
      sparams = _StateParameters(
          {0: "a", 1: "b", 2: "c", 3: "d"},
          {"a": 0, "b": 1, "c": 2, "d": 3},
          None,
          None,
          None,
          None,
          None,
          None,
          None,
          None,
      )
  
      u, v = 10, "k"
      assert _cut_PT(u, v, gparams, sparams)
  
imports: import itertools
  import pytest
  import networkx
  from networkx import vf2pp_is_isomorphic, vf2pp_isomorphism
  from networkx.algorithms.isomorphism.vf2pp import _consistent_PT, _cut_PT, _feasibility, _find_candidates, _find_candidates_Di, _GraphParameters, _initialize_parameters, _matching_order, _restore_Tinout, _restore_Tinout_Di, _StateParameters, _update_Tinout
label_desc: Use image node_id 5 for calling the TestDiGraphISOFeasibility obj's underlying member method code with example usage: obj.test_cut_inconsistent_labels() without return types