code: def test_SequentialRNNLM_invalid_type():
      with pytest.raises(ValueError):
          SequentialRNNLM(10, rnn_type="foooo")
  
file_path: espnet/test/espnet2/lm/test_seq_rnn_lm.py
imports: import pytest
  import torch
  from espnet2.lm.seq_rnn_lm import SequentialRNNLM
  from espnet.nets.batch_beam_search import BatchBeamSearch
  from espnet.nets.beam_search import BeamSearch
label_desc: Use image node_id 3 for calling a global function with example usage: test_SequentialRNNLM_invalid_type() without return types