code: def test_f1_measure_catches_exceptions(self, device: str):
      f1_measure = F1Measure(0)
      predictions = torch.rand([5, 7], device=device)
      out_of_range_labels = torch.tensor(
          [10, 3, 4, 0, 1], device=device
      )
      with pytest.raises(ConfigurationError):
          f1_measure(predictions, out_of_range_labels)
  
file_path: allennlp/tests/training/metrics/f1_measure_test.py
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, run_distributed_test, global_distributed_metric
  from allennlp.training.metrics import F1Measure
label_desc: Use image node_id 1 for calling the F1MeasureTest obj's underlying member method code with example usage: obj.test_f1_measure_catches_exceptions(device) without return types