class_docstr: A 'no-operation' (noop) implementation of a shuffling buffer. Useful in cases where no shuffling is desired, such
  as test scenarios or iterating over a dataset in a predeterministic order.
code: def size(self):
      return self._size
  
imports: import abc
  import six
  import torch
label_desc: Use image node_id 6 for calling the BatchedNoopShufflingBuffer obj's underlying member method code with example usage: obj.size() and returns: self