code: def __init__(
      self,
      start_time=None,
      end_time=None,
      infer_processors=[],
      learn_processors=[],
      fit_start_time=None,
      fit_end_time=None,
      data_loader_kwargs={},
  ):
      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": "DataLoaderDH",
          "kwargs": {**data_loader_kwargs},
      }
  
      super().__init__(
          instruments=None,
          start_time=start_time,
          end_time=end_time,
          data_loader=data_loader,
          infer_processors=infer_processors,
          learn_processors=learn_processors,
      )
  
imports: from qlib.data.dataset.handler import DataHandlerLP
  from qlib.data.dataset.loader import DataLoaderDH
  from qlib.contrib.data.handler import check_transform_proc
label_desc: Use image node_id 1 to create a new RollingDataHandler object from inherited base classes: DataHandlerLP with example: obj = RollingDataHandler(start_time, end_time, infer_processors, learn_processors, fit_start_time, fit_end_time, data_loader_kwargs)