code: def test_heteroskedasticnoise_error(self):
      noise_model = NumericallyUnstableModelExample().to(torch.double)
      likelihood = HeteroskedasticNoise(noise_model)
      self.assertEqual(noise_model.training, True)
      self.assertEqual(likelihood.training, True)
      noise_model.fail_arithmetic = True
      test_x = torch.tensor([[3.0]])
      with self.assertRaises(ArithmeticError):
          likelihood(test_x)
      self.assertEqual(likelihood.training, True)
      likelihood(test_x)
  
file_path: gpytorch/test/likelihoods/test_noise_models.py
imports: import unittest
  import torch
  import gpytorch
  from gpytorch.likelihoods import HeteroskedasticNoise
label_desc: Use image node_id 1 for calling the TestNoiseModels obj's underlying member method code with example usage: obj.test_heteroskedasticnoise_error() without return types