code: def frame_as_list():
      iris = h2o.import_file(
          path=pyunit_utils.locate("smalldata/iris/iris_wheader.csv")
      )
      prostate = h2o.import_file(
          path=pyunit_utils.locate(
              "smalldata/prostate/prostate.csv.zip"
          )
      )
      airlines = h2o.import_file(
          path=pyunit_utils.locate("smalldata/airlines/allyears2k.zip")
      )
  
      res1 = h2o.as_list(iris, use_pandas=False)
      res1 = list(zip(*res1))
      assert (
          abs(float(res1[0][9]) - 4.4) < 1e-10
          and abs(float(res1[1][9]) - 2.9) < 1e-10
          and abs(float(res1[2][9]) - 1.4) < 1e-10
      ), "incorrect values"
  
      res2 = h2o.as_list(prostate, use_pandas=False)
      res2 = list(zip(*res2))
      assert (
          abs(float(res2[0][7]) - 7) < 1e-10
          and abs(float(res2[1][7]) - 0) < 1e-10
          and abs(float(res2[2][7]) - 68) < 1e-10
      ), "incorrect values"
  
      res3 = h2o.as_list(airlines, use_pandas=False)
      res3 = list(zip(*res3))
      assert (
          abs(float(res3[0][4]) - 1987) < 1e-10
          and abs(float(res3[1][4]) - 10) < 1e-10
          and abs(float(res3[2][4]) - 18) < 1e-10
      ), "incorrect values"
  
label_desc: Use image node_id 1 for calling a global function with example usage: frame_as_list() without return types