code: def compareFrameNTuple(oneCol, oneList):
      temp = oneCol.as_data_frame(use_pandas=False)
      numRow = oneCol.nrows
      for index in range(numRow):
          assert temp[index + 1].sort() == oneList[index].sort(), (
              "Expected: {0}, Actual: {1}.  They are "
              "different".format(temp[index], oneList[index])
          )
  
imports: import sys
  import h2o
  from tests import pyunit_utils
  from h2o.estimators.model_selection import H2OModelSelectionEstimator
label_desc: Use image node_id 4 for calling a global function with example usage: compareFrameNTuple(oneCol, oneList) without return types