code: def test_non_repeated_cuts():
      # The algorithm was repeating the cut {0, 1} for the giant biconnected
      # component of the Karate club graph.
      K = nx.karate_club_graph()
      bcc = max(list(nx.biconnected_components(K)), key=len)
      G = K.subgraph(bcc)
      solution = [{32, 33}, {2, 33}, {0, 3}, {0, 1}, {29, 33}]
      cuts = list(nx.all_node_cuts(G))
      if len(solution) != len(cuts):
          print(f"Solution: {solution}")
          print(f"Result: {cuts}")
      assert len(solution) == len(cuts)
      for cut in cuts:
          assert cut in solution
  
imports: import itertools
  import pytest
  import networkx
  from networkx.algorithms import flow
  from networkx.algorithms.connectivity.kcutsets import _is_separating_set
label_desc: Use image node_id 17 for calling a global function with example usage: test_non_repeated_cuts() without return types