code: def _make_experience(self, experience_idx: int) -> TDatasetExperience:
      a = self.benchmark.experience_factory(self, experience_idx)  # type: ignore
      return a
  
imports: from abc import ABC, abstractmethod
  from dataclasses import dataclass
  import re
  from typing import Generic, TypeVar, Union, Sequence, Callable, Optional, Dict, Any, Iterable, List, Set, Tuple, Mapping, TYPE_CHECKING
  from .None import DatasetExperience
  from ..generic_scenario import CLScenario, CLExperience, CLStream, SequenceCLStream
  from .lazy_dataset_sequence import LazyDatasetSequence
  from avalanche.benchmarks.utils import AvalancheDataset
  from torch.utils.data.dataset import Dataset
label_desc: Use image node_id 3 for calling the FactoryBasedStream obj's underlying member method code with example usage: obj._make_experience(experience_idx) and returns: a