code: def export_processing_to_jit(
      scaler,
      lookback,
      id_index,
      target_feature_index,
      scaler_index,
      operation,
  ):
      export_class = SCALE_JIT_HELPER_MAP[type(scaler)]
      return torch.jit.script(
          export_class(
              scaler,
              lookback,
              id_index,
              target_feature_index,
              scaler_index,
              operation,
          )
      )
  
imports: import torch
  import torch.nn
  from typing import List
  from sklearn.preprocessing import StandardScaler, MaxAbsScaler, MinMaxScaler, RobustScaler
  from .utils import _to_list
label_desc: Use image node_id 1 for calling a global function with example usage: export_processing_to_jit(scaler, lookback, id_index, target_feature_index, scaler_index, operation) and returns: torch