code: def dynamic_range_compression(x, C=1, clip_val=1e-5):
      """
      PARAMS
      ------
      C: compression factor
      """
      return torch.log(torch.clamp(x, min=clip_val) * C)
  
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 8 for calling a global function with example usage: dynamic_range_compression(x, C, clip_val) and returns: torch