code: def prepare_csv(filelist, csv_file, max_length=None):
      """Iterate a set of wavs and write the corresponding csv file.
  
      Arguments
      ---------
      filelist : str
          A list containing the paths of files of interest.
      csv_file : str
          The path to store the prepared noise CSV file.
      max_length : float
          The maximum length in seconds.
          Recordings longer than this will be automatically cut into pieces.
      """
      try:
          write_csv(filelist, csv_file, max_length)
      except Exception as e:
          # Handle the exception or log the error message
          logger.error("Exception:", exc_info=(e))
  
          # Delete the file if something fails
          if os.path.exists(csv_file):
              os.remove(csv_file)
  
file_path: speechbrain/speechbrain/augment/preparation.py
imports: import os
  import logging
  import torchaudio
  from speechbrain.utils.data_utils import download_file
  from speechbrain.utils.data_utils import get_all_files
label_desc: Use image node_id 2 for calling a global function with example usage: prepare_csv(filelist, csv_file, max_length) without return types