code: def video_classification_wrapper_factory(dataset, target_keys):
      if dataset.video_clips.output_format == "THWC":
          raise RuntimeError(
              f"{type(dataset).__name__} with `output_format='THWC'` is not supported by this wrapper, "
              f"since it is not compatible with the transformations. Please use `output_format='TCHW'` instead."
          )
  
      def wrapper(idx, sample):
          video, audio, label = sample
  
          video = tv_tensors.Video(video)
  
          return video, audio, label
  
      return wrapper
  
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 11 for calling a global function with example usage: video_classification_wrapper_factory(dataset, target_keys) and returns: wrapper, video,  audio,  label