code: def test_incorrect_mask_shape_catches_exceptions(self, device: str):
      accuracy = BooleanAccuracy()
      predictions = torch.rand([5, 7], device=device)
      labels = torch.rand([5, 7], device=device)
      incorrect_shape_mask = torch.randint(
          0, 2, [5, 8], device=device
      ).bool()
      with pytest.raises(ValueError):
          accuracy(predictions, labels, incorrect_shape_mask)
  
file_path: allennlp/tests/training/metrics/boolean_accuracy_test.py
imports: from typing import Any, Dict, List, Tuple, Union
  import torch
  import pytest
  from allennlp.common.testing import AllenNlpTestCase, multi_device, global_distributed_metric, run_distributed_test
  from allennlp.training.metrics import BooleanAccuracy
label_desc: Use image node_id 4 for calling the BooleanAccuracyTest obj's underlying member method code with example usage: obj.test_incorrect_mask_shape_catches_exceptions(device) without return types