code: def sort():
      df = h2o.import_file(
          pyunit_utils.locate(
              "smalldata/synthetic/smallIntFloats.csv.zip"
          )
      )
      sorted_column_indices = [0, 1]
      print("Performing and checking on descending sort...")
      df2 = df.sort(
          sorted_column_indices, ascending=[False, False]
      ).asnumeric()
      pyunit_utils.check_sorted_2_columns(
          df2,
          sorted_column_indices,
          prob=0.001,
          ascending=[False, False],
      )  # check some rows
      print(
          "Performing and checking on descending first column and ascending second column sort..."
      )
      df1 = df.sort(
          sorted_column_indices, [False, True]
      ).asnumeric()  # ascending sort
      pyunit_utils.check_sorted_2_columns(
          df1,
          sorted_column_indices,
          prob=0.001,
          ascending=[False, True],
      )  # check some rows
      print(
          "Performing and checking on ascending first column and descending second column sort..."
      )
      df1 = df.sort(
          sorted_column_indices, [True, False]
      ).asnumeric()  # ascending sort
      pyunit_utils.check_sorted_2_columns(
          df1,
          sorted_column_indices,
          prob=0.001,
          ascending=[True, False],
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: sort() without return types