code: def _shift(self, data, i: int):
      res = torch.empty_like(data, dtype=torch.float32)
      if i < 0:
          res[:] = torch.roll(data, i, 0)
          res[i:] = torch.nan
      elif i == 0:
          res[:] = data
      return res
  
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 2 for calling the ExportJIT obj's underlying member method code with example usage: obj._shift(data, i) and returns: res