code: def test_not_fitted_inv(self, device, dtype):
      with pytest.raises(RuntimeError):
          data = torch.rand(10, 2, device=device, dtype=dtype)
  
          zca = kornia.enhance.ZCAWhitening()
          zca.inverse_transform(data)
  
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  import kornia.testing
  from kornia.testing import BaseTester
label_desc: Use image node_id 8 for calling the TestZCA obj's underlying member method code with example usage: obj.test_not_fitted_inv(device, dtype) without return types