class_docstr: Avoid 'eagerification' step for ranges.
code: def __iter__(self):
      for i in range(self._start, self._end):
          yield self._offset + i
  
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 3 for calling the LazyRange obj's underlying member method code with example usage: obj.__iter__() without return types