code: def register(self, dataset_cls):
      def decorator(wrapper_factory):
          self[dataset_cls] = wrapper_factory
          return wrapper_factory
  
      return decorator
  
imports: from __future__ import annotations
  import collections.abc
  import contextlib
  from collections import defaultdict
  from copy import copy
  import torch
  from torchvision import datasets, tv_tensors
  from torchvision.transforms.v2 import functional
label_desc: Use image node_id 1 for calling the WrapperFactories obj's underlying member method code with example usage: obj.register(dataset_cls) and returns: decorator, wrapper_factory