code: def test_bark_scale():
      f = 16000.0
      x = BarkScale.convert(f)
      f_back = BarkScale.invert(x)
      assert torch.abs(f_back - f) < 0.1
      BarkScale.bank(128, 16000.0)
  
imports: import torch
  from espnet2.layers.sinc_conv import BarkScale, LogCompression, MelScale, SincConv
label_desc: Use image node_id 5 for calling a global function with example usage: test_bark_scale() without return types