code: def get_random_bbox():
      bb_list = [round(random.random(), 3) for x in range(4)]
      converted_list = [str(element) for element in bb_list]
      return bb_list, ",".join(converted_list)
  
file_path: pytorchvideo/tests/test_data_ava_dataset.py
imports: import contextlib
  import pathlib
  import random
  import tempfile
  import unittest
  import torch
  from pytorchvideo.data import Ava
  from pytorchvideo.data.clip_sampling import make_clip_sampler
  from utils import temp_frame_video
label_desc: Use image node_id 2 for calling a global function with example usage: get_random_bbox() and returns: bb_list,  str