code: def test_approximate_bucket_assignment():
      cost = np.concatenate(
          [
              np.random.randint(0, 100, size=100),
              np.random.randint(100, 1000, size=50),
              np.random.randint(1000, 5000, size=5),
              np.random.randint(10000, 20000, size=1),
              np.random.randint(20000, 100000, size=3),
          ]
      )
      cost = np.random.permutation(cost)
  
      assignment = naive_bucket_assignment(cost, 4)
  
      print(
          "naive_bucket_assignment  ",
          compute_bucket_imbalance_score(cost, assignment),
      )
      print(np.bincount(assignment))
  
      assignment = random_bucket_assignment(cost, 4, 1000)
  
      print(
          "random_bucket_assignment ",
          compute_bucket_imbalance_score(cost, assignment),
      )
      print(np.bincount(assignment))
  
      assignment = filler_bucket_assignment(cost, 4)
  
      print(
          "filler_bucket_assignment ",
          compute_bucket_imbalance_score(cost, assignment),
      )
      print(np.bincount(assignment))
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_approximate_bucket_assignment() without return types