code: def test_complete_graph_cutoff(self):
      G = nx.complete_graph(5)
      nx.set_edge_attributes(
          G, {(u, v): 1 for u, v in G.edges()}, "capacity"
      )
      for flow_func in [
          shortest_augmenting_path,
          edmonds_karp,
          dinitz,
          boykov_kolmogorov,
      ]:
          for cutoff in [3, 2, 1]:
              result = nx.maximum_flow_value(
                  G, 0, 4, flow_func=flow_func, cutoff=cutoff
              )
              assert (
                  cutoff == result
              ), f"cutoff error in {flow_func.__name__}"
  
imports: import pytest
  import networkx
  from networkx.algorithms.flow import boykov_kolmogorov, build_flow_dict, build_residual_network, dinitz, edmonds_karp, preflow_push, shortest_augmenting_path
label_desc: Use image node_id 2 for calling the TestCutoff obj's underlying member method code with example usage: obj.test_complete_graph_cutoff() without return types