code: def test_failure_of_costs_too_high_when_iterations_low(self):
      # Threshold Version:
      # set number of moves low and number of iterations low
      cycle = self.tsp(
          self.DG2,
          "greedy",
          source="D",
          move="1-0",
          N_inner=1,
          max_iterations=1,
          seed=4,
      )
      cost = sum(
          self.DG2[n][nbr]["weight"] for n, nbr in pairwise(cycle)
      )
      assert cost > self.DG2_cost
  
      # set threshold too low
      initial_sol = ["D", "A", "B", "C", "D"]
      cycle = self.tsp(
          self.DG,
          initial_sol,
          source="D",
          move="1-0",
          threshold=-3,
          seed=42,
      )
      cost = sum(
          self.DG[n][nbr]["weight"] for n, nbr in pairwise(cycle)
      )
      assert cost > self.DG_cost
  
imports: import random
  import pytest
  import networkx
  import networkx.algorithms.approximation
label_desc: Use image node_id 1 for calling the TestThresholdAcceptingTSP obj's underlying member method code with example usage: obj.test_failure_of_costs_too_high_when_iterations_low() without return types