class_docstr: Unit tests for the min_degree function
docstr: Test heuristic abort condition for fully connected graph
docstr_tok: ["Test","heuristic","abort","condition","for","fully","connected","graph"]
code: def test_heuristic_abort(self):
      """Test heuristic abort condition for fully connected graph"""
      graph = {}
      for u in self.complete:
          graph[u] = set()
          for v in self.complete[u]:
              if u != v:  # ignore self-loop
                  graph[u].add(v)
  
      deg_heuristic = MinDegreeHeuristic(graph)
      node = deg_heuristic.best_node(graph)
      if node is None:
          pass
      else:
          assert False
  
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 4 for calling the TestTreewidthMinDegree obj's underlying member method code with example usage: obj.test_heuristic_abort() without return types