code: def create_item(self, s):
      if self.indexed:
          return self.dataset[s or 0]
      elif s is None:
          return next(self.it)
      else:
          raise IndexError(
              "Cannot index an iterable dataset numerically - must use `None`."
          )
  
imports: from __future__ import annotations
  from ..torch_basics import *
  from torch.utils.data.dataloader import _MultiProcessingDataLoaderIter, _SingleProcessDataLoaderIter, _DatasetKind
label_desc: Use image node_id 16 for calling the DataLoader obj's underlying member method code with example usage: obj.create_item(s) and returns: self, next