code: def test_good(self, device, dtype):
      pts1 = torch.tensor(
          [[0.0, 0.0], [0.0, 1.0], [1.0, 1.0], [1.0, 0.0]],
          device=device,
          dtype=dtype,
      )[None]
      mask = sample_is_valid_for_homography(pts1, pts1)
      expected = torch.tensor([True], device=device, dtype=torch.bool)
      assert torch.equal(mask, expected)
  
imports: import sys
  import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  import kornia.testing
  from kornia.geometry.homography import find_homography_dlt, find_homography_dlt_iterated, find_homography_lines_dlt, find_homography_lines_dlt_iterated, line_segment_transfer_error_one_way, oneway_transfer_error, sample_is_valid_for_homography, symmetric_transfer_error
  from kornia.testing import assert_close
  from kornia.utils._compat import torch_version_le
label_desc: Use image node_id 1 for calling the TestSampleValidation obj's underlying member method code with example usage: obj.test_good(device, dtype) without return types