code: def __init__(self, center=True, scale=False, log=True):
      self.center = center
      self.scale = scale
      self.log = log
  
file_path: textlesslib/textless/data/f0_preprocess.py
imports: import torch
  import amfm_decompy.basic_tools
  import amfm_decompy.pYAAPT
  from librosa.util import normalize
  import numpy
  from scipy.interpolate import interp1d
label_desc: Use image node_id 1 to create a new PromptNormalize object  with example: obj = PromptNormalize(center, scale, log)