class_docstr: Utility class used to wrap a sized stream.
  
  Objects of this class will return experiences wrapped
  using class:`ExperienceWrapper`.
code: def __init__(
      self,
      name: str,
      benchmark: CLScenario,
      wrapped_stream: SizedCLStream[TCLExperience],
  ):
      self._wrapped_stream: SizedCLStream[
          TCLExperience
      ] = wrapped_stream
  
      super().__init__(
          name=name, benchmark=benchmark, wrapped_stream=wrapped_stream
      )
  
imports: from typing import Generic, Iterable, Iterator, List, Optional, TypeVar
  from avalanche.benchmarks.scenarios.generic_scenario import CLExperience, CLScenario, CLStream, SequenceCLStream, SizedCLStream
label_desc: Use image node_id 1 to create a new SizedCLStreamWrapper object from inherited base classes: CLStreamWrapper with example: obj = SizedCLStreamWrapper(name, benchmark, wrapped_stream)