code: def test_circle(self, device, dtype):
      b, c, h, w = 1, 3, 500, 500
      n = 5000
      im = torch.zeros(b, c, h, w, device=device, dtype=dtype)
      t = torch.linspace(0, 1, steps=n, device=device, dtype=dtype)[
          None
      ].expand(b, n)
      color = torch.tensor([1, 1, 1], device=device, dtype=dtype)[
          None
      ].expand(b, c)
      x = (2 * math.pi * t).cos()
      y = (2 * math.pi * t).sin()
      ctr = 200
      radius = 200
      pts = ctr + radius * torch.stack((x, y), dim=-1)
      poly_im = draw_convex_polygon(im, pts, color)
      XY = create_meshgrid(
          h, w, normalized_coordinates=False, device=device, dtype=dtype
      )
      inside = (
          ((XY[..., 1] - ctr) ** 2 + (XY[..., 0] - ctr) ** 2).sqrt()
          <= radius
      )[:, None].expand(b, c, h, w)
      circ_im = inside * color[..., None, None]
      assert (circ_im - poly_im).abs().mean() <= 1e-4
  
imports: import math
  import pytest
  import torch
  from kornia.testing import assert_close
  from kornia.utils import create_meshgrid, draw_convex_polygon, draw_rectangle
  from kornia.utils.draw import draw_line, draw_point2d
label_desc: Use image node_id 1 for calling the TestFillConvexPolygon obj's underlying member method code with example usage: obj.test_circle(device, dtype) without return types