class_docstr: Abstract class for defining CLStreams whose size
  (number of experiences) is known.
class_docstr_tok: ["Abstract","class","for","defining","CLStreams","whose","size","(","number","of","experiences",")","is","known","."]
docstr: Gets the number of experiences this stream it's made of.
  
  :return: The number of experiences in this stream.
docstr_tok: ["Gets","the","number","of","experiences","this","stream","it","'s","made","of",".",":","return",":","The","number","of","experiences","in","this","stream","."]
code: def __len__(self) -> int:
      """
      Gets the number of experiences this stream it's made of.
  
      :return: The number of experiences in this stream.
      """
      pass
  
imports: from abc import abstractmethod, ABC
  from contextlib import contextmanager
  from copy import copy
  from enum import Enum
  from types import GeneratorType
  from typing import Any, Dict, Generator, Iterator, List, Iterable, Optional, Sequence, Tuple, TypeVar, Union, Generic, overload
  from typing_extensions import final
  import numpy
  from avalanche.benchmarks.utils.dataset_utils import slice_alike_object_to_indices
label_desc: Use image node_id 2 for calling the SizedCLStream obj's underlying member method code with example usage: obj.__len__() without return types