code: def multiprocessing_context(self):
      return (None, multiprocessing)[self.num_workers > 0]
  
imports: from __future__ import annotations
  from ..torch_basics import *
  from torch.utils.data.dataloader import _MultiProcessingDataLoaderIter, _SingleProcessDataLoaderIter, _DatasetKind
label_desc: Use image node_id 4 for calling the _FakeLoader obj's underlying member method code with example usage: obj.multiprocessing_context() and returns: None,  multiprocessing