code: def test_directed_tsp_impossible():
      """
      Test the asadpour algorithm with a graph without a hamiltonian circuit
      """
      pytest.importorskip("numpy")
  
      # In this graph, once we leave node 0 we cannot return
      edges = [
          (0, 1, 10),
          (0, 2, 11),
          (0, 3, 12),
          (1, 2, 4),
          (1, 3, 6),
          (2, 1, 3),
          (2, 3, 2),
          (3, 1, 5),
          (3, 2, 1),
      ]
  
      G = nx.DiGraph()
      G.add_weighted_edges_from(edges)
  
      pytest.raises(
          nx.NetworkXError, nx_app.traveling_salesman_problem, G
      )
  
imports: import random
  import pytest
  import networkx
  import networkx.algorithms.approximation
label_desc: Use image node_id 24 for calling a global function with example usage: test_directed_tsp_impossible() without return types