code: def test_graph2(self):
      # A more complex undirected graph
      # adapted from https://web.archive.org/web/20220815055650/https://www.topcoder.com/thrive/articles/Maximum%20Flow:%20Part%20One
      G = nx.Graph()
      G.add_edge("x", "a", capacity=3.0)
      G.add_edge("x", "b", capacity=1.0)
      G.add_edge("a", "c", capacity=3.0)
      G.add_edge("b", "c", capacity=5.0)
      G.add_edge("b", "d", capacity=4.0)
      G.add_edge("d", "e", capacity=2.0)
      G.add_edge("c", "y", capacity=2.0)
      G.add_edge("e", "y", capacity=3.0)
  
      H = {
          "x": {"a": 3, "b": 1},
          "a": {"c": 3, "x": 3},
          "b": {"c": 1, "d": 2, "x": 1},
          "c": {"a": 3, "b": 1, "y": 2},
          "d": {"b": 2, "e": 2},
          "e": {"d": 2, "y": 2},
          "y": {"c": 2, "e": 2},
      }
  
      compare_flows_and_cuts(G, "x", "y", H, 4.0)
  
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 TestMaxflowMinCutCommon obj's underlying member method code with example usage: obj.test_graph2() without return types