code: def normalize(signal, bits=None):
      """
      normalize to be in a given range.
      """
  
      s = signal.copy()
      s /= np.abs(s).max()
  
      # if one wants to scale for bits allocated
      if bits is not None:
          s *= 2 ** (bits - 1) - 1
          s = clip(s, 2 ** (bits - 1) - 1, -(2 ** (bits - 1)))
  
      return s
  
file_path: cleverhans/cleverhans_v3.1.0/examples/adversarial_asr/room_simulator.py
imports: import numpy
  import matplotlib.pyplot
  from scipy.io import wavfile
  from scipy.signal import fftconvolve
  import pyroomacoustics
  import random
  import pickle
label_desc: Use image node_id 2 for calling a global function with example usage: normalize(signal, bits) and returns: s