code: def dynamic_range_compression(x, C=1, clip_val=1e-5):
      return np.log(np.clip(x, a_min=clip_val, a_max=None) * C)
  
imports: import math
  import os
  import random
  import torch
  import torch.utils.data
  import numpy
  from librosa.util import normalize
  from scipy.io.wavfile import read
  from librosa.filters import mel
label_desc: Use image node_id 2 for calling a global function with example usage: dynamic_range_compression(x, C, clip_val) and returns: np