code: def test_det_corr_tracks():
      A = np.array([[0, 0, 0], [1, 1, 1], [2, 2, 2]])
      B = np.array([[1, 0, 0], [2, 0, 0], [3, 0, 0]])
      C = np.array([[0, 0, -1], [0, 0, -2], [0, 0, -3]])
  
      bundle1 = [A, B, C]
      bundle2 = [B, A]
      indices = [0, 1]
      print(A)
      print(B)
      print(C)
  
      arr = tl.detect_corresponding_tracks(indices, bundle1, bundle2)
      print(arr)
      assert_array_equal(arr, np.array([[0, 1], [1, 0]]))
  
      indices2 = [0, 1]
      arr2 = tl.detect_corresponding_tracks_plus(
          indices, bundle1, indices2, bundle2
      )
      print(arr2)
      assert_array_equal(arr, arr2)
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_det_corr_tracks() without return types