code: def save_md5(files, out_file):
      """Saves the md5 of a list of input files as a pickled dict into a file.
  
      Arguments
      ---------
      files : list
          List of input files from which we will compute the md5.
      outfile : str
          The path where to store the output pkl file.
  
      Returns
      -------
      None
  
      Example:
      >>> files = ['tests/samples/single-mic/example1.wav']
      >>> tmpdir = getfixture('tmpdir')
      >>> save_md5(files, tmpdir / "md5.pkl")
      """
      # Initialization of the dictionary
      md5_dict = {}
      # Computing md5 for all the files in the list
      for file in files:
          md5_dict[file] = get_md5(file)
      # Saving dictionary in pkl format
      save_pkl(md5_dict, out_file)
  
imports: import os
  import torch
  import logging
  import numpy
  import pickle
  import hashlib
  import csv
  import time
  import torchaudio
  import json
  import re
  from speechbrain.utils.torch_audio_backend import check_torchaudio_backend
label_desc: Use image node_id 19 for calling a global function with example usage: save_md5(files, out_file) without return types