code: def test_clean_dimensions_2d():
      init_score = [
          [[[((x,) for x in [1, 2])]]],
          [3, 4],
          (np.array([5, 6]),),
          np.array([[[(7,), (8,)]]]),
      ]
      init_score = clean_dimensions(init_score, "init_score")
      init_score = init_score.astype(np.float64, copy=False)
      assert init_score.shape == (4, 2)
      assert init_score[0, 0] == 1
      assert init_score[0, 1] == 2
      assert init_score[1, 0] == 3
      assert init_score[1, 1] == 4
      assert init_score[2, 0] == 5
      assert init_score[2, 1] == 6
      assert init_score[3, 0] == 7
      assert init_score[3, 1] == 8
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_clean_dimensions_2d() without return types