code: def __init__(
      self,
      fit_start_time: pd.Timestamp,
      fit_end_time: pd.Timestamp,
      feature_save_dir: str,
      norm_groups: Dict[str, int],
  ):
      self.fit_start_time = fit_start_time
      self.fit_end_time = fit_end_time
      self.feature_save_dir = feature_save_dir
      self.norm_groups = norm_groups
  
file_path: qlib/qlib/contrib/data/highfreq_processor.py
imports: import os
  import numpy
  import pandas
  from qlib.data.dataset.processor import Processor
  from qlib.data.dataset.utils import fetch_df_by_index
  from typing import Dict
label_desc: Use image node_id 1 to create a new HighFreqNorm object from inherited base classes: Processor with example: obj = HighFreqNorm(fit_start_time, fit_end_time, feature_save_dir, norm_groups)