code: def manipulate(self, data, start_pos, end_pos, mask_with_noise):
      if mask_with_noise:
          noise_data = np.random.randn(end_pos - start_pos)
      else:
          noise_data = np.zeros(end_pos - start_pos)
  
      aug_data = data.copy()
      aug_data[start_pos:end_pos] = noise_data
  
      return aug_data
  
imports: import numpy
  from nlpaug.model.audio import Audio
label_desc: Use image node_id 1 for calling the Mask obj's underlying member method code with example usage: obj.manipulate(data, start_pos, end_pos, mask_with_noise) and returns: aug_data