code: def prepare_video(num_frames=8):
      file = hf_hub_download(
          repo_id="hf-internal-testing/spaghetti-video",
          filename="eating_spaghetti.npy",
          repo_type="dataset",
      )
      video = np.load(file)[:num_frames]
      return list(video)
  
imports: import copy
  import inspect
  import unittest
  import numpy
  from huggingface_hub import hf_hub_download
  from transformers import TvltConfig, is_datasets_available, is_speech_available, is_torch_available, is_vision_available
  from transformers.testing_utils import require_torch, require_vision, slow, torch_device
  from transformers.utils import cached_property
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 1 for calling a global function with example usage: prepare_video(num_frames) and returns: list