code: def __init__(
      self, hop_length=512, f0_min=50, f0_max=1100, sampling_rate=44100
  ):
      (
          self.hop_length,
          self.f0_min,
          self.f0_max,
          self.sampling_rate,
          self.name,
      ) = (hop_length, f0_min, f0_max, sampling_rate, "pm")
  
imports: import math
  from typing import Optional, Tuple
  from tinygrad import Tensor, dtypes
  import librosa
  import soundfile
  import numpy
  import parselmouth
label_desc: Use image node_id 1 to create a new PMF0Predictor object  with example: obj = PMF0Predictor(hop_length, f0_min, f0_max, sampling_rate)