code: def __call__(self, f0, _speaker=None):
      f0 = f0.clone()
      mask = f0 != 0.0
      if self.log:
          f0[mask] = f0[mask].log()
  
      if self.center:
          f0[mask] -= f0[mask].mean()
      if self.scale:
          f0[mask] /= f0[mask].std()
  
      return f0
  
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 2 for calling the PromptNormalize obj's underlying member method code with example usage: obj.__call__(f0, _speaker) and returns: f0