code: def pad(self, data, noise):
      if len(data) - len(noise) == 0:
          start_pos = 0
      else:
          start_pos = np.random.randint(0, len(data) - len(noise))
  
      prefix_padding = np.array([0] * start_pos)
      suffix_padding = np.array(
          [0] * (len(data) - len(noise) - start_pos)
      )
      return np.append(np.append(prefix_padding, noise), suffix_padding)
  
file_path: nlpaug/nlpaug/model/audio/noise.py
imports: import random
  import numpy
  import math
  from nlpaug.model.audio import Audio
label_desc: Use image node_id 5 for calling the Noise obj's underlying member method code with example usage: obj.pad(data, noise) and returns: np