code: def _get_perm_ssi(self):
      start = self._ssi
      end = self._ssi + self.cpb
      subsample = self._perm[start:end]
      return subsample
  
imports: import contextlib
  import logging
  import queue
  from typing import Dict, List
  import numpy
  import torch
  from PIL import Image
  from torch.utils.data import Dataset
  from torch.utils.data.distributed import DistributedSampler
label_desc: Use image node_id 6 for calling the StratifiedClassSampler obj's underlying member method code with example usage: obj._get_perm_ssi() and returns: subsample