code: def __init__(
      self,
      instruments="csi300",
      start_time=None,
      end_time=None,
      infer_processors=[],
      learn_processors=[],
      fit_start_time=None,
      fit_end_time=None,
      inst_processors=None,
      drop_raw=True,
  ):
      infer_processors = check_transform_proc(
          infer_processors, fit_start_time, fit_end_time
      )
      learn_processors = check_transform_proc(
          learn_processors, fit_start_time, fit_end_time
      )
  
      data_loader = {
          "class": "QlibDataLoader",
          "kwargs": {
              "config": self.get_feature_config(),
              "swap_level": False,
              "freq": "1min",
              "inst_processors": inst_processors,
          },
      }
      super().__init__(
          instruments=instruments,
          start_time=start_time,
          end_time=end_time,
          data_loader=data_loader,
          infer_processors=infer_processors,
          learn_processors=learn_processors,
          drop_raw=drop_raw,
      )
  
imports: from qlib.data.dataset.handler import DataHandler, DataHandlerLP
  from .handler import check_transform_proc
label_desc: Use image node_id 1 to create a new HighFreqOrderHandler object from inherited base classes: DataHandlerLP with example: obj = HighFreqOrderHandler(instruments, start_time, end_time, infer_processors, learn_processors, fit_start_time, fit_end_time, inst_processors, drop_raw)