code: def main():
      args = get_args()
  
      random.seed(args.random_seed)
      rir_list = parse_rir_list(
          args.rir_set_para_array,
          args.rir_smoothing_weight,
          args.source_sampling_rate,
      )
      print("Number of RIRs is {0}".format(len(rir_list)))
      pointsource_noise_list = []
      iso_noise_dict = {}
      if args.noise_set_para_array is not None:
          pointsource_noise_list, iso_noise_dict = parse_noise_list(
              args.noise_set_para_array,
              args.noise_smoothing_weight,
              args.source_sampling_rate,
          )
          print(
              "Number of point-source noises is {0}".format(
                  len(pointsource_noise_list)
              )
          )
          print(
              "Number of isotropic noises is {0}".format(
                  sum(
                      len(iso_noise_dict[key])
                      for key in iso_noise_dict.keys()
                  )
              )
          )
      room_dict = make_room_dict(rir_list)
  
      if args.include_original_data == "true":
          include_original = True
      else:
          include_original = False
      create_reverberated_copy(
          input_dir=args.input_dir,
          output_dir=args.output_dir,
          room_dict=room_dict,
          pointsource_noise_list=pointsource_noise_list,
          iso_noise_dict=iso_noise_dict,
          foreground_snr_string=args.foreground_snr_string,
          background_snr_string=args.background_snr_string,
          num_replicas=args.num_replicas,
          include_original=include_original,
          prefix=args.prefix,
          speech_rvb_probability=args.speech_rvb_probability,
          shift_output=args.shift_output,
          isotropic_noise_addition_probability=args.isotropic_noise_addition_probability,
          pointsource_noise_addition_probability=args.pointsource_noise_addition_probability,
          max_noises_per_minute=args.max_noises_per_minute,
      )
  
      data_lib.RunKaldiCommand(
          "utils/validate_data_dir.sh --no-feats --no-text {output_dir}".format(
              output_dir=args.output_dir
          )
      )
  
imports: import argparse, shlex, glob, math, os, random, sys, warnings, copy, imp, ast
label_desc: Use image node_id 19 for calling a global function with example usage: main() without return types