code: def main(args):
      # Read results from files
      all_results = []
      for r in range(1, args.num_spkrs + 1):
          for h in range(1, args.num_spkrs + 1):
              key = f"r{r}h{h}"
              result = read_result(
                  Path(args.results_dir, f"result_{key}.txt"),
                  result_key=key,
              )
              all_results.append(result)
  
      # Merge the results of every permutation
      results = merge_results(all_results)
  
      # Get the final results with best permutation
      hyp_perms, all_keys = compute_permutation(results, args.num_spkrs)
  
      # Use the permutation order to reorder hypotheses file
      # Then output the refs and hyps in a new file by combining all speakers
      reorder_refs_or_hyps(
          args.results_dir,
          args.num_spkrs,
          all_keys,
          "hyp",
          hyp_perms,
      )
      reorder_refs_or_hyps(
          args.results_dir,
          args.num_spkrs,
          all_keys,
          "ref",
      )
  
file_path: espnet/egs2/dirha_wsj/asr1/pyscripts/utils/eval_perm_free_error.py
imports: import argparse
  import codecs
  import re
  import sys
  from collections import OrderedDict
  from pathlib import Path
  from typing import List
  import numpy
  from scipy.optimize import linear_sum_assignment
label_desc: Use image node_id 8 for calling a global function with example usage: main(args) without return types