code: def __getitem__(self, idx):
      video_path = self.csv["video_path"].values[idx]
      try:
          return self._get_video_info(video_path)
      except Exception:
          # print('ffprobe failed at: {}'.format(video_path))
          return None
  
imports: import torch
  import pandas
  import os
  import numpy
  import ffmpeg
  import random
  from torch.utils.data import Dataset
label_desc: Use image node_id 1 for calling the VideoVerifier obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: self, None