code: def test_toy(self, device):
      aff = PatchAffineShapeEstimator(19).to(device)
      inp = torch.zeros(1, 1, 19, 19, device=device)
      inp[:, :, 5:-5, 1:-1] = 1
      abc = aff(inp)
      expected = torch.tensor(
          [[[0.4146, 0.0000, 1.0000]]], device=device
      )
      assert_close(abc, expected, atol=1e-4, rtol=1e-4)
  
imports: import torch
  from torch.autograd import gradcheck
  import kornia.testing
  from kornia.feature.affine_shape import LAFAffineShapeEstimator, LAFAffNetShapeEstimator, PatchAffineShapeEstimator
  from kornia.testing import assert_close
label_desc: Use image node_id 4 for calling the TestPatchAffineShapeEstimator obj's underlying member method code with example usage: obj.test_toy(device) without return types