code: def h2oas_list():
      """
      Python API test: h2o.as_list(data, use_pandas=True, header=True)
      Copied from pyunit_frame_as_list.py
      """
      iris = h2o.import_file(
          path=pyunit_utils.locate("smalldata/iris/iris_wheader.csv")
      )
  
      res1 = h2o.as_list(iris, use_pandas=False)
      assert_is_type(res1, list)
      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"
  
imports: import sys
  from tests import pyunit_utils
  import h2o
  from h2o.utils.typechecks import assert_is_type
label_desc: Use image node_id 1 for calling a global function with example usage: h2oas_list() without return types