code: def build_single_transform(
      config: Mapping[str, Any]
  ) -> Callable[..., object]:
      """
      A utility method to build a single transform from hydra / omega conf objects.
  
      If the key "transform" is present in the give config, it recursively builds
      and composes transforms using  the `torchvision.transforms.Compose` method.
      """
      config = dict(config)
      if "transform" in config:
          assert isinstance(config["transform"], Sequence)
          transform_list = [
              build_single_transform(transform)
              for transform in config["transform"]
          ]
          transform = Compose(transform_list)
          config.pop("transform")
          return hydra.utils.instantiate(config, transform=transform)
      return hydra.utils.instantiate(config)
  
imports: import random
  from typing import Any, Callable, Dict, Iterable, List, Mapping, Sequence
  import hydra
  import torch
  import torchvision
  from PIL import Image, ImageFilter
  from pytorchvideo.transforms import MixVideo
  from torchvision.transforms import Compose
label_desc: Use image node_id 2 for calling a global function with example usage: build_single_transform(config) and returns: hydra, hydra