code: def test_result(self, device, dtype):
      points = torch.tensor(
          [[[1.0, 0.0], [0.0, 1.0]]], device=device, dtype=dtype
      )
  
      lines = torch.tensor(
          [[[1.0, -1.0, 0.0], [0.0, 1.0, 1.0]]],
          device=device,
          dtype=dtype,
      )
      perp = epi.get_perpendicular(lines, points)
      expected = torch.tensor(
          [[[1.0, 1.0, -1.0], [-1.0, 0.0, 0.0]]],
          device=device,
          dtype=dtype,
      )
      assert_close(perp, expected)
  
imports: from typing import Dict
  import pytest
  import test_common
  import torch
  from torch.autograd import gradcheck
  import kornia.geometry.epipolar
  import kornia.testing
  from kornia.testing import assert_close
label_desc: Use image node_id 2 for calling the TestPerpendicular obj's underlying member method code with example usage: obj.test_result(device, dtype) without return types