code: def create_reverberated_copy(
      input_dir,
      output_dir,
      room_dict,  # the room dictionary, please refer to make_room_dict() for the format
      pointsource_noise_list,  # the point source noise list
      iso_noise_dict,  # the isotropic noise dictionary
      foreground_snr_string,  # the SNR for adding the foreground noises
      background_snr_string,  # the SNR for adding the background noises
      num_replicas,  # Number of replicate to generated for the data
      include_original,  # include a copy of the original data
      prefix,  # prefix for the id of the corrupted utterances
      speech_rvb_probability,  # Probability of reverberating a speech signal
      shift_output,  # option whether to shift the output waveform
      isotropic_noise_addition_probability,  # Probability of adding isotropic noises
      pointsource_noise_addition_probability,  # Probability of adding point-source noises
      max_noises_per_minute,  # maximum number of point-source noises that can be added to a recording according to its duration
  ):
      """This function creates multiple copies of the necessary files,
      e.g. utt2spk, wav.scp ...
      """
      if not os.path.exists(output_dir):
          os.makedirs(output_dir)
      wav_scp = parse_file_to_dict(
          input_dir + "/wav.scp", value_processor=lambda x: " ".join(x)
      )
      if not os.path.isfile(input_dir + "/reco2dur"):
          print("Getting the duration of the recordings...")
          data_lib.RunKaldiCommand(
              "utils/data/get_reco2dur.sh {}".format(input_dir)
          )
      durations = parse_file_to_dict(
          input_dir + "/reco2dur", value_processor=lambda x: float(x[0])
      )
      foreground_snr_array = [
          float(x) for x in foreground_snr_string.split(":")
      ]
      background_snr_array = [
          float(x) for x in background_snr_string.split(":")
      ]
  
      generate_reverberated_wav_scp(
          wav_scp,
          durations,
          output_dir,
          room_dict,
          pointsource_noise_list,
          iso_noise_dict,
          foreground_snr_array,
          background_snr_array,
          num_replicas,
          include_original,
          prefix,
          speech_rvb_probability,
          shift_output,
          isotropic_noise_addition_probability,
          pointsource_noise_addition_probability,
          max_noises_per_minute,
      )
  
      add_prefix_to_fields(
          input_dir + "/utt2spk",
          output_dir + "/utt2spk",
          num_replicas,
          include_original,
          prefix,
          field=[0, 1],
      )
      data_lib.RunKaldiCommand(
          "utils/utt2spk_to_spk2utt.pl <{output_dir}/utt2spk >{output_dir}/spk2utt".format(
              output_dir=output_dir
          )
      )
  
      if os.path.isfile(input_dir + "/utt2uniq"):
          add_prefix_to_fields(
              input_dir + "/utt2uniq",
              output_dir + "/utt2uniq",
              num_replicas,
              include_original,
              prefix,
              field=[0],
          )
      else:
          # Create the utt2uniq file
          create_corrupted_utt2uniq(
              input_dir,
              output_dir,
              num_replicas,
              include_original,
              prefix,
          )
  
      if os.path.isfile(input_dir + "/text"):
          add_prefix_to_fields(
              input_dir + "/text",
              output_dir + "/text",
              num_replicas,
              include_original,
              prefix,
              field=[0],
          )
      if os.path.isfile(input_dir + "/segments"):
          add_prefix_to_fields(
              input_dir + "/segments",
              output_dir + "/segments",
              num_replicas,
              include_original,
              prefix,
              field=[0, 1],
          )
      if os.path.isfile(input_dir + "/reco2file_and_channel"):
          add_prefix_to_fields(
              input_dir + "/reco2file_and_channel",
              output_dir + "/reco2file_and_channel",
              num_replicas,
              include_original,
              prefix,
              field=[0, 1],
          )
      if os.path.isfile(input_dir + "/vad.scp"):
          add_prefix_to_fields(
              input_dir + "/vad.scp",
              output_dir + "/vad.scp",
              num_replicas,
              include_original,
              prefix,
              field=[0],
          )
  
      data_lib.RunKaldiCommand(
          "utils/validate_data_dir.sh --no-feats --no-text {output_dir}".format(
              output_dir=output_dir
          )
      )
  
imports: import argparse, shlex, glob, math, os, random, sys, warnings, copy, imp, ast
label_desc: Use image node_id 12 for calling a global function with example usage: create_reverberated_copy(input_dir, output_dir, room_dict, pointsource_noise_list, iso_noise_dict, foreground_snr_string, background_snr_string, num_replicas, include_original, prefix, speech_rvb_probability, shift_output, isotropic_noise_addition_probability, pointsource_noise_addition_probability, max_noises_per_minute) without return types