code: def vec_as_list():
      iris = h2o.import_file(
          path=pyunit_utils.locate("smalldata/iris/iris_wheader.csv")
      )
  
      res = h2o.as_list(iris[0], use_pandas=False)
      res = list(zip(*res))
      assert (
          abs(float(res[0][4]) - 4.6) < 1e-10
          and abs(float(res[0][6]) - 5.4) < 1e-10
          and abs(float(res[0][10]) - 4.9) < 1e-10
      ), "incorrect values"
  
      res = 2 - iris
      res = h2o.as_list(res[0], use_pandas=False)
      res = list(zip(*res))
      assert (
          abs(float(res[0][4]) - -2.6) < 1e-10
          and abs(float(res[0][18]) - -3.1) < 1e-10
          and abs(float(res[0][25]) - -2.8) < 1e-10
      ), "incorrect values"
  
label_desc: Use image node_id 1 for calling a global function with example usage: vec_as_list() without return types