code: def test_iterative_svd_with_low_rank_random_matrix():
      solver = IterativeSVD(rank=3)
      XY_completed = solver.fit_transform(XY_incomplete)
      _, missing_mae = reconstruction_error(
          XY, XY_completed, missing_mask, name="IterativeSVD"
      )
      assert missing_mae < 0.1, "Error too high!"
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_iterative_svd_with_low_rank_random_matrix() without return types