code: def test_span_sequence_complete_masked(self):
      sequence_tensor = torch.randn([2, 6, 10])
      seq_mask = torch.BoolTensor(
          [[True] * 2 + [False] * 4, [True] * 3 + [False] * 3]
      )
      indices = torch.LongTensor([[[5, 5]], [[4, 5]]])
      with pytest.raises(IndexError):
          extractor = MaxPoolingSpanExtractor(10)
          extractor(sequence_tensor, indices, sequence_mask=seq_mask)
  
file_path: allennlp/tests/modules/span_extractors/max_pooling_span_extractor_test.py
imports: import pytest
  import torch
  from allennlp.common.params import Params
  from allennlp.modules.span_extractors import SpanExtractor
  from allennlp.modules.span_extractors.max_pooling_span_extractor import MaxPoolingSpanExtractor
label_desc: Use image node_id 8 for calling the TestMaxPoolingSpanExtractor obj's underlying member method code with example usage: obj.test_span_sequence_complete_masked() without return types