code: def test_zero_gt():
      a = np.random.randn(4)
      ground_truth = np.zeros(4)
  
      m = MeanNormalizedBias()
  
      with pytest.raises(
          NotComputableError, match=r"The ground truth has 0."
      ):
          m.update(
              (torch.from_numpy(a), torch.from_numpy(ground_truth))
          )
  
imports: import os
  import numpy
  import pytest
  import torch
  import ignite.distributed
  from ignite.contrib.metrics.regression import MeanNormalizedBias
  from ignite.engine import Engine
  from ignite.exceptions import NotComputableError
label_desc: Use image node_id 2 for calling a global function with example usage: test_zero_gt() without return types