code: def parquet_parse_dates():
      parquet_data = h2o.import_file(
          path=pyunit_utils.locate(
              "smalldata/parser/parquet/parquet-file-with-date-column.snappy.parquet"
          )
      )
  
      parquet_data.summary()
      parquet_summary = h2o.frame(parquet_data.frame_id)["frames"][0][
          "columns"
      ]
      date_converted_column_type = parquet_summary[2]["type"]
      assert date_converted_column_type == "time"
  
      date_string_rows = parquet_data[:, "date_string"]
      date_converted_rows = parquet_data[:, "date_converted"]
      pyunit_utils.compare_frames(
          date_string_rows, date_converted_rows, 1
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: parquet_parse_dates() without return types