text: import numpy as np
  import pytest
  import torch
  
  from mmcv.ops import min_area_polygons
  
  np_pointsets = np.asarray([[
      1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0, 1.0, 1.0, 3.0, 3.0, 1.0, 2.0, 3.0, 3.0,
      2.0, 1.5, 1.5
  ],
                             [
                                 1.0, 1.0, 8.0, 8.0, 1.0, 2.0, 2.0, 1.0, 1.0,
                                 3.0, 3.0, 1.0, 2.0, 3.0, 3.0, 2.0, 1.5, 1.5
                             ]])
  
  expected_polygons = np.asarray(
      [[3.0000, 1.0000, 1.0000, 1.0000, 1.0000, 3.0000, 3.0000, 3.0000],
       [8.0, 8.0, 2.3243, 0.0541, 0.0541, 1.6757, 5.7297, 9.6216]])
  
  
  @pytest.mark.skipif(
      not torch.cuda.is_available(), reason='requires CUDA support')
  def test_min_area_polygons():
      pointsets = torch.from_numpy(np_pointsets).cuda().float()
  
      assert np.allclose(
          min_area_polygons(pointsets).cpu().numpy(),
          expected_polygons,
          atol=1e-4)
  