class_docstr: Avoid 'eagerification' step for ranges.
code: def _to_eager(self):
      # LazyRange is eager already
      pass
  
imports: import bisect
  import sys
  import numpy
  from avalanche.benchmarks.utils.dataset_utils import slice_alike_object_to_indices
  from typing import Iterable, List, Optional, Sequence, Tuple, TypeVar, Union, overload
  from torch.utils.data import ConcatDataset
  import itertools
  from avalanche.benchmarks.utils.dataset_definitions import IDataset
label_desc: Use image node_id 2 for calling the LazyRange obj's underlying member method code with example usage: obj._to_eager() without return types