code: def get_md5(file):
      """Get the md5 checksum of an input file.
  
      Arguments
      ---------
      file : str
          Path to file for which compute the checksum.
  
      Returns
      -------
      md5
          Checksum for the given filepath.
  
      Example
      -------
      >>> get_md5('tests/samples/single-mic/example1.wav')
      'c482d0081ca35302d30d12f1136c34e5'
      """
      # Lets read stuff in 64kb chunks!
      BUF_SIZE = 65536
      md5 = hashlib.md5()
      # Computing md5
      with open(file, "rb") as f:
          while True:
              data = f.read(BUF_SIZE)
              if not data:
                  break
              md5.update(data)
      return md5.hexdigest()
  
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 18 for calling a global function with example usage: get_md5(file) and returns: md5