code: def get_unit_f0(
      wav: Tensor, tran, hop_length, target_sample, f0_filter=False
  ) -> Tuple[Tensor, Tensor, Tensor]:
      f0_predictor = PMF0Predictor(
          hop_length, sampling_rate=target_sample
      )
      f0, uv = f0_predictor.compute_f0_uv(wav.numpy())
      if f0_filter and sum(f0) == 0:
          raise RuntimeError("No voice detected")
      f0 = Tensor(f0.astype(np.float32)).float()
      f0 = (f0 * 2 ** (tran / 12)).unsqueeze(0)
      uv = Tensor(uv.astype(np.float32)).float().unsqueeze(0)
      wav16k = sinc_interp_resample(wav[None, :], target_sample, 16000)[
          0
      ]
      return wav16k.realize(), f0.realize(), uv.realize()
  
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 5 for calling a global function with example usage: get_unit_f0(wav, tran, hop_length, target_sample, f0_filter) and returns: wav16k,  f0,  uv