code: def __init__(self, shifts_str, pads):
      self._shifts = list(map(int, shifts_str.split(",")))
      assert len(self._shifts) == 2, self._shifts
      assert all(s >= 0 for s in self._shifts)
      self.extra_length = max(s for s in self._shifts)
      self.pads = pads
  
imports: import json
  import logging
  import os
  import random
  from pathlib import Path
  import numpy
  import torch
  import torch.utils.data
  from .None import data_utils
  from fairseq.data.fairseq_dataset import FairseqDataset
label_desc: Use image node_id 1 to create a new Shifts object from inherited base classes: object with example: obj = Shifts(shifts_str, pads)