code: def test_hybridxc():
      torch.manual_seed(42)
      n = 2
      nnmodel = dummymodel()
      k = HybridXC("lda_x", nnmodel, aweight0=0.0)
      densinfo = ValGrad(
          value=torch.rand((n,), dtype=torch.float32).requires_grad_()
      )
      output = k.get_edensityxc(densinfo).detach()
      expected_output = torch.tensor(
          [-0.6988, -0.2108], dtype=torch.float64
      )
      torch.testing.assert_close(
          output, expected_output, atol=1e-4, rtol=0
      )
  
label_desc: Use image node_id 3 for calling a global function with example usage: test_hybridxc() without return types