code: def test_hybrid_cqt_impulse(y_impulse, sr_impulse, hop_impulse):
      # Test to resolve issue #341
      # Updated in #417 to use integrated energy instead of pointwise max
  
      hcqt = librosa.hybrid_cqt(
          y=y_impulse, sr=sr_impulse, hop_length=hop_impulse, tuning=0
      )
  
      response = np.mean(np.abs(hcqt) ** 2, axis=1)
  
      continuity = np.abs(np.diff(response))
  
      assert np.max(continuity) < 5e-4, continuity
  
imports: from __future__ import division
  import warnings
  import os
  from typing import Optional
  import librosa
  import numpy
  import scipy.stats
  import pytest
  from test_core import srand
label_desc: Use image node_id 22 for calling a global function with example usage: test_hybrid_cqt_impulse(y_impulse, sr_impulse, hop_impulse) without return types