code: def test_getitem(self, device, dtype, batch_size):
      xy = torch.rand((batch_size, 2), device=device, dtype=dtype)
      vec = Vector2(xy)
      for i in range(batch_size):
          v = vec[i]
          self.assert_close(v.data, xy[i, ...])
  
imports: import pytest
  import torch
  from kornia.geometry.vector import Scalar, Vector2, Vector3
  from kornia.testing import BaseTester
label_desc: Use image node_id 2 for calling the TestVector2 obj's underlying member method code with example usage: obj.test_getitem(device, dtype, batch_size) without return types