code: def parquet_parse_simple():
      """
      Tests Parquet parser by comparing the summary of the original csv frame with the h2o parsed Parquet frame.
      Basic use case of importing files with auto-detection of column types.
      :return: None if passed.  Otherwise, an exception will be thrown.
      """
      csv = h2o.import_file(
          path=pyunit_utils.locate(
              "smalldata/airlines/AirlinesTrain.csv.zip"
          )
      )
      parquet = h2o.import_file(
          path=pyunit_utils.locate(
              "smalldata/parser/parquet/airlines-simple.snappy.parquet"
          )
      )
  
      csv.summary()
      csv_summary = h2o.frame(csv.frame_id)["frames"][0]["columns"]
  
      parquet.summary()
      parquet_summary = h2o.frame(parquet.frame_id)["frames"][0][
          "columns"
      ]
  
      pyunit_utils.compare_frame_summary(csv_summary, parquet_summary)
  
label_desc: Use image node_id 1 for calling a global function with example usage: parquet_parse_simple() without return types