code: def main():
      """Run log-F0 RMSE calculation in parallel."""
      args = get_parser().parse_args()
  
      # logging info
      if args.verbose > 1:
          logging.basicConfig(
              level=logging.DEBUG,
              format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s",
          )
      elif args.verbose > 0:
          logging.basicConfig(
              level=logging.INFO,
              format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s",
          )
      else:
          logging.basicConfig(
              level=logging.WARN,
              format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s",
          )
          logging.warning("Skip DEBUG/INFO messages")
  
      # find files
      if os.path.isdir(args.gen_wavdir_or_wavscp):
          gen_files = sorted(find_files(args.gen_wavdir_or_wavscp))
      else:
          with open(args.gen_wavdir_or_wavscp) as f:
              gen_files = [
                  line.strip().split(None, 1)[1]
                  for line in f.readlines()
              ]
          if gen_files[0].endswith("|"):
              raise ValueError("Not supported wav.scp format.")
      if os.path.isdir(args.gt_wavdir_or_wavscp):
          gt_files = sorted(find_files(args.gt_wavdir_or_wavscp))
      else:
          with open(args.gt_wavdir_or_wavscp) as f:
              gt_files = [
                  line.strip().split(None, 1)[1]
                  for line in f.readlines()
              ]
          if gt_files[0].endswith("|"):
              raise ValueError("Not supported wav.scp format.")
  
      # Get and divide list
      if len(gen_files) == 0:
          raise FileNotFoundError(
              "Not found any generated audio files."
          )
      if len(gen_files) > len(gt_files):
          raise ValueError(
              "#groundtruth files are less than #generated files "
              f"(#gen={len(gen_files)} vs. #gt={len(gt_files)}). "
              "Please check the groundtruth directory."
          )
      logging.info("The number of utterances = %d" % len(gen_files))
      file_lists = np.array_split(gen_files, args.nj)
      file_lists = [f_list.tolist() for f_list in file_lists]
  
      # multi processing
      with mp.Manager() as manager:
          log_f0_rmse_dict = manager.dict()
          processes = []
          # for f in file_lists:
          #     calculate(f, gt_files, args, log_f0_rmse_dict)
          for f in file_lists:
              p = mp.Process(
                  target=calculate,
                  args=(f, gt_files, args, log_f0_rmse_dict),
              )
              p.start()
              processes.append(p)
  
          # wait for all process
          for p in processes:
              p.join()
  
          # convert to standard list
          log_f0_rmse_dict = dict(log_f0_rmse_dict)
  
          # calculate statistics
          mean_log_f0_rmse = np.mean(
              np.array([v for v in log_f0_rmse_dict.values()])
          )
          std_log_f0_rmse = np.std(
              np.array([v for v in log_f0_rmse_dict.values()])
          )
          logging.info(
              f"Average: {mean_log_f0_rmse:.4f} ± {std_log_f0_rmse:.4f}"
          )
  
      # write results
      if args.outdir is None:
          if os.path.isdir(args.gen_wavdir_or_wavscp):
              args.outdir = args.gen_wavdir_or_wavscp
          else:
              args.outdir = os.path.dirname(args.gen_wavdir_or_wavscp)
      os.makedirs(args.outdir, exist_ok=True)
      with open(f"{args.outdir}/utt2log_f0_rmse", "w") as f:
          for utt_id in sorted(log_f0_rmse_dict.keys()):
              log_f0_rmse = log_f0_rmse_dict[utt_id]
              f.write(f"{utt_id} {log_f0_rmse:.4f}\n")
      with open(f"{args.outdir}/log_f0_rmse_avg_result.txt", "w") as f:
          f.write(f"#utterances: {len(gen_files)}\n")
          f.write(
              f"Average: {mean_log_f0_rmse:.4f} ± {std_log_f0_rmse:.4f}"
          )
  
      logging.info("Successfully finished log-F0 RMSE evaluation.")
  
file_path: espnet/egs2/chime4/asr2/pyscripts/utils/evaluate_f0.py
imports: import argparse
  import fnmatch
  import logging
  import multiprocessing
  import os
  from typing import Dict, List, Tuple
  import librosa
  import numpy
  import pysptk
  import pyworld
  import soundfile
  from fastdtw import fastdtw
  from scipy import spatial
label_desc: Use image node_id 7 for calling a global function with example usage: main() without return types