code: def create_whamr_rir_csv(datapath, savepath):
      """
      This function creates the csv files to get the data loaders for the whamr  dataset.
  
      Arguments:
          datapath (str) : path for the whamr rirs.
          savepath (str) : path where we save the csv file
      """
  
      csv_columns = ["ID", "duration", "wav", "wav_format", "wav_opts"]
  
      files = os.listdir(datapath)
      all_paths = [os.path.join(datapath, fl) for fl in files]
  
      with open(savepath + "/whamr_rirs.csv", "w") as csvfile:
          writer = csv.DictWriter(csvfile, fieldnames=csv_columns)
          writer.writeheader()
          for i, wav_path in enumerate(all_paths):
              row = {
                  "ID": i,
                  "duration": 2.0,
                  "wav": wav_path,
                  "wav_format": "wav",
                  "wav_opts": None,
              }
              writer.writerow(row)
  
imports: import os
  import csv
label_desc: Use image node_id 3 for calling a global function with example usage: create_whamr_rir_csv(datapath, savepath) without return types