code: def test_value_and_grad_two_scalars_vars(self):
      def func(x, y):
          return gs.sum((x - y) ** 2)
  
      arg_x = 1.0
      arg_y = 2.0
      val, grad = gs.autodiff.value_and_grad(func, argnums=(0, 1))(
          arg_x, arg_y
      )
  
      self.assertAllClose(val, 1.0)
      self.assertTrue(isinstance(grad, tuple))
      self.assertAllClose(grad[0], -2)
      self.assertAllClose(grad[1], 2.0)
  
imports: import warnings
  import numpy
  import pytest
  import geomstats.backend
  from geomstats.geometry.grassmannian import Grassmannian
  from geomstats.geometry.special_euclidean import SpecialEuclidean
  from geomstats.test.test_case import TestCase, autograd_and_torch_only, autograd_only, np_only
label_desc: Use image node_id 7 for calling the TestAutodiff obj's underlying member method code with example usage: obj.test_value_and_grad_two_scalars_vars() and returns: gs