code: def setup_class(cls):
      cls.T1 = cls.graph()
  
      cls.T2 = cls.graph()
      cls.T2.add_node(1)
  
      cls.T3 = cls.graph()
      cls.T3.add_nodes_from(range(5))
      edges = [(i, i + 1) for i in range(4)]
      cls.T3.add_edges_from(edges)
  
      cls.T5 = cls.multigraph()
      cls.T5.add_nodes_from(range(5))
      edges = [(i, i + 1) for i in range(4)]
      cls.T5.add_edges_from(edges)
  
      cls.T6 = cls.graph()
      cls.T6.add_nodes_from([6, 7])
      cls.T6.add_edge(6, 7)
  
      cls.F1 = nx.compose(cls.T6, cls.T3)
  
      cls.N4 = cls.graph()
      cls.N4.add_node(1)
      cls.N4.add_edge(1, 1)
  
      cls.N5 = cls.graph()
      cls.N5.add_nodes_from(range(5))
  
      cls.N6 = cls.graph()
      cls.N6.add_nodes_from(range(3))
      cls.N6.add_edges_from([(0, 1), (1, 2), (2, 0)])
  
      cls.NF1 = nx.compose(cls.T6, cls.N6)
  
imports: import pytest
  import networkx
label_desc: Use image node_id 1 for calling the TestTreeRecognition obj's underlying member method code with example usage: obj.setup_class(cls) without return types