code: def test_pqmf():
      w, sr = load(WAV_FILE)
  
      layer = PQMF(N=4, taps=62, cutoff=0.15, beta=9.0)
      w, sr = load(WAV_FILE)
      w2 = torch.from_numpy(w[None, None, :])
      b2 = layer.analysis(w2)
      w2_ = layer.synthesis(b2)
  
      print(w2_.max())
      print(w2_.min())
      print(w2_.mean())
      sf.write(
          os.path.join(get_tests_output_path(), "pqmf_output.wav"),
          w2_.flatten().detach(),
          sr,
      )
  
imports: import os
  import soundfile
  import torch
  from librosa.core import load
  from tests import get_tests_input_path, get_tests_output_path, get_tests_path
  from TTS.vocoder.layers.pqmf import PQMF
label_desc: Use image node_id 1 for calling a global function with example usage: test_pqmf() without return types