code: def test_beamformer_net_invalid_bf_type():
      with pytest.raises(ValueError):
          NeuralBeamformer(
              10, use_beamformer=True, beamformer_type="fff"
          )
  
file_path: espnet/test/espnet2/enh/separator/test_beamformer.py
imports: import numpy
  import pytest
  import torch
  from packaging.version import parse
  from espnet2.enh.encoder.stft_encoder import STFTEncoder
  from espnet2.enh.layers.complex_utils import is_torch_complex_tensor
  from espnet2.enh.layers.dnn_beamformer import BEAMFORMER_TYPES
  from espnet2.enh.separator.neural_beamformer import NeuralBeamformer
label_desc: Use image node_id 5 for calling a global function with example usage: test_beamformer_net_invalid_bf_type() without return types