code: def check_audio(audio, audiopath: str):
      # Check some assumptions about audio range. This should be automatically fixed in load_wav_to_torch, but might not be in some edge cases, where we should squawk.
      # '2' is arbitrarily chosen since it seems like audio will often "overdrive" the [-1,1] bounds.
      if torch.any(audio > 2) or not torch.any(audio < 0):
          print(
              f"Error with {audiopath}. Max={audio.max()} min={audio.min()}"
          )
      audio.clip_(-1, 1)
  
imports: import os
  from glob import glob
  from typing import Dict, List
  import librosa
  import numpy
  import torch
  import torchaudio
  from scipy.io.wavfile import read
  from TTS.utils.audio.torch_transforms import TorchSTFT
label_desc: Use image node_id 2 for calling a global function with example usage: check_audio(audio, audiopath) without return types