code: def test_top_k_categorical_accuracy_catches_exceptions(self):
      accuracy = CategoricalAccuracy()
      predictions = torch.rand([5, 7])
      out_of_range_labels = torch.Tensor([10, 3, 4, 0, 1])
      with pytest.raises(ConfigurationError):
          accuracy(predictions, out_of_range_labels)
  
imports: from __future__ import division
  from __future__ import with_statement
  from __future__ import absolute_import
  import torch
  import pytest
  import numpy
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.common.checks import ConfigurationError
  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() without return types