code: def test_top_k_categorical_accuracy_catches_exceptions(
      self, device: str
  ):
      accuracy = CategoricalAccuracy()
      predictions = torch.rand([5, 7], device=device)
      out_of_range_labels = torch.tensor(
          [10, 3, 4, 0, 1], device=device
      )
      with pytest.raises(ConfigurationError):
          accuracy(predictions, out_of_range_labels)
  
imports: import pytest
  import torch
  from torch.testing import assert_allclose
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.testing import AllenNlpTestCase, multi_device, global_distributed_metric, run_distributed_test
  from allennlp.training.metrics import CategoricalAccuracy
label_desc: Use image node_id 6 for calling the CategoricalAccuracyTest obj's underlying member method code with example usage: obj.test_top_k_categorical_accuracy_catches_exceptions(device) without return types