code: def test_hat(self, device, dtype, batch_size):
      v = self._make_rand_data(device, dtype, (batch_size, 2))
      theta = self._make_rand_data(device, dtype, (batch_size, 1))
      s_hat = Se2.hat(torch.cat((v, theta), -1))
      self.assert_close(v, s_hat[..., 2, 0:2])
      self.assert_close(
          s_hat[..., 0:2, 0:2].squeeze(), So2.hat(theta).squeeze()
      )
  
imports: import pytest
  import torch
  from kornia.geometry.liegroup import Se2, So2
  from kornia.geometry.vector import Vector2
  from kornia.testing import BaseTester
label_desc: Use image node_id 15 for calling the TestSe2 obj's underlying member method code with example usage: obj.test_hat(device, dtype, batch_size) without return types