code: def test_shapes(self, batch_size, extra_dim_size, device, dtype):
      B, T, N = batch_size, extra_dim_size, 3
      pts = torch.rand(B, T, N, 2, device=device, dtype=dtype)
      lines = torch.rand(B, T, N, 3, device=device, dtype=dtype)
      distances = kgl.point_line_distance(pts, lines)
      assert distances.shape == (B, T, N)
  
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  import kornia.geometry.linalg
  import kornia.testing
  from kornia.testing import BaseTester, assert_close
label_desc: Use image node_id 3 for calling the TestPointsLinesDistances obj's underlying member method code with example usage: obj.test_shapes(batch_size, extra_dim_size, device, dtype) without return types