code: def test_integer_parameters_limits(search_opts):
      vocab_size = 4
      encoder_size = 4
  
      decoder = StatelessDecoder(vocab_size, embed_size=4)
      joint_net = JointNetwork(
          vocab_size, encoder_size, 4, joint_space_size=2
      )
  
      with pytest.raises(AssertionError):
          _ = BeamSearchTransducer(
              decoder,
              joint_net,
              **search_opts,
          )
  
file_path: espnet/test/espnet2/asr_transducer/test_beam_search_transducer.py
imports: import numpy
  import pytest
  import torch
  from espnet2.asr_transducer.beam_search_transducer import BeamSearchTransducer, Hypothesis
  from espnet2.asr_transducer.decoder.mega_decoder import MEGADecoder
  from espnet2.asr_transducer.decoder.rnn_decoder import RNNDecoder
  from espnet2.asr_transducer.decoder.rwkv_decoder import RWKVDecoder
  from espnet2.asr_transducer.decoder.stateless_decoder import StatelessDecoder
  from espnet2.asr_transducer.joint_network import JointNetwork
  from espnet2.lm.seq_rnn_lm import SequentialRNNLM
label_desc: Use image node_id 2 for calling a global function with example usage: test_integer_parameters_limits(search_opts) without return types