code: def test_forward(self, random_apply, device, dtype):
      inp = torch.randn(1, 3, 30, 30, device=device, dtype=dtype)
      aug = K.ImageSequential(
          K.ColorJiggle(0.1, 0.1, 0.1, 0.1, p=1.0),
          kornia.filters.MedianBlur((3, 3)),
          K.ColorJiggle(0.1, 0.1, 0.1, 0.1, p=1.0),
          K.ImageSequential(K.ColorJiggle(0.1, 0.1, 0.1, 0.1, p=1.0)),
          K.ImageSequential(K.RandomAffine(360, p=1.0)),
          K.RandomAffine(360, p=1.0),
          K.RandomMixUpV2(p=1.0),
          random_apply=random_apply,
      )
      out = aug(inp)
      assert out.shape == inp.shape
      aug.inverse(inp)
      reproducibility_test(inp, aug)
  
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 TestSequential obj's underlying member method code with example usage: obj.test_forward(random_apply, device, dtype) without return types