code: def create_video_dataset(
      self, n_videos=5, n_frames_per_video=10, w=32, h=32, c=3
  ):
      self.n_videos = n_videos
      self.n_frames_per_video = n_frames_per_video
  
      self.input_dir = tempfile.mkdtemp()
      self.ensure_dir(self.input_dir)
      self.frames = (
          np.random.randn(n_frames_per_video, w, h, c) * 255
      ).astype(np.uint8)
      self.extensions = (".avi",)
      self.filenames = []
  
      for i in range(5):
          filename = f"output-{i}.avi"
          self.filenames.append(filename)
          path = os.path.join(self.input_dir, filename)
          out = cv2.VideoWriter(path, 0, 1, (w, h))
          for frame in self.frames:
              out.write(frame)
          out.release()
  
imports: import os
  import shutil
  import tempfile
  import unittest
  from typing import List, Tuple
  import numpy
  import torchvision
  from PIL.Image import Image
  from lightly.data import LightlyDataset
  from lightly.data._utils import check_images
label_desc: Use image node_id 4 for calling the TestLightlyDataset obj's underlying member method code with example usage: obj.create_video_dataset(n_videos, n_frames_per_video, w, h, c) without return types