code: def y_impulse(sr_impulse, hop_impulse):
      x = np.zeros(sr_impulse)
      center = int((len(x) / (2.0 * float(hop_impulse))) * hop_impulse)
      x[center] = 1
      return x
  
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 20 for calling a global function with example usage: y_impulse(sr_impulse, hop_impulse) and returns: x