code: def test_augmentation(self, augmentation, data_format, device, dtype):
      input = (
          torch.randint(
              255, (1, 3, 3, 5, 6), device=device, dtype=dtype
          ).repeat(2, 1, 1, 1, 1)
          / 255.0
      )
      torch.manual_seed(21)
      aug_list = K.VideoSequential(
          augmentation, data_format=data_format, same_on_frame=True
      )
      reproducibility_test(input, aug_list)
  
imports: from functools import partial
  from unittest.mock import patch
  import pytest
  import torch
  import kornia
  import kornia.augmentation
  from kornia.augmentation.container.base import ParamItem
  from kornia.constants import BorderType
  from kornia.geometry.bbox import bbox_to_mask
  from kornia.testing import assert_close
label_desc: Use image node_id 3 for calling the TestVideoSequential obj's underlying member method code with example usage: obj.test_augmentation(augmentation, data_format, device, dtype) without return types