code: def test_hpss(ysr):
      y, sr = ysr
  
      y_harm, y_perc = librosa.effects.hpss(y)
  
      # Make sure that the residual energy is generally small
      y_residual = y - y_harm - y_perc
  
      rms_orig = librosa.feature.rms(y=y)
      rms_res = librosa.feature.rms(y=y_residual)
  
      assert np.percentile(rms_orig, 0.01) > np.percentile(
          rms_res, 0.99
      )
  
imports: import warnings
  import os
  from contextlib import nullcontext
  import numpy
  import pytest
  import librosa
label_desc: Use image node_id 9 for calling a global function with example usage: test_hpss(ysr) without return types