class_docstr: Unit tests for the treewidth_min_fill_in function.
docstr: Setup for different kinds of trees
docstr_tok: ["Setup","for","different","kinds","of","trees"]
code: def setup_class(cls):
      """Setup for different kinds of trees"""
      cls.complete = nx.Graph()
      cls.complete.add_edge(1, 2)
      cls.complete.add_edge(2, 3)
      cls.complete.add_edge(1, 3)
  
      cls.small_tree = nx.Graph()
      cls.small_tree.add_edge(1, 2)
      cls.small_tree.add_edge(2, 3)
      cls.small_tree.add_edge(3, 4)
      cls.small_tree.add_edge(1, 4)
      cls.small_tree.add_edge(2, 4)
      cls.small_tree.add_edge(4, 5)
      cls.small_tree.add_edge(5, 6)
      cls.small_tree.add_edge(5, 7)
      cls.small_tree.add_edge(6, 7)
  
      cls.deterministic_graph = nx.Graph()
      cls.deterministic_graph.add_edge(1, 2)
      cls.deterministic_graph.add_edge(1, 3)
      cls.deterministic_graph.add_edge(3, 4)
      cls.deterministic_graph.add_edge(2, 4)
      cls.deterministic_graph.add_edge(3, 5)
      cls.deterministic_graph.add_edge(4, 5)
      cls.deterministic_graph.add_edge(3, 6)
      cls.deterministic_graph.add_edge(5, 6)
  
imports: import itertools
  import networkx
  from networkx.algorithms.approximation import treewidth_min_degree, treewidth_min_fill_in
  from networkx.algorithms.approximation.treewidth import MinDegreeHeuristic, min_fill_in_heuristic
label_desc: Use image node_id 1 for calling the TestTreewidthMinFillIn obj's underlying member method code with example usage: obj.setup_class(cls) without return types