code: def test_proximity_loss(self):
      self.exp.x1 = torch.tensor(self.query_instance)
      loss2 = self.exp.compute_proximity_loss()
      # proximity loss computed for given query instance and feature weights.
      assert (
          pytest.approx(loss2.data.detach().numpy(), abs=1e-4) == 0.0068
      )
  
file_path: DiCE/tests/test_dice_interface/test_dice_pytorch.py
imports: import numpy
  import pytest
  import dice_ml
  from dice_ml.counterfactual_explanations import CounterfactualExplanations
  from dice_ml.utils import helpers
label_desc: Use image node_id 3 for calling the TestDiceTorchMethods obj's underlying member method code with example usage: obj.test_proximity_loss() without return types