code: def get_args():
      # we add required arguments as named arguments for readability
      parser = argparse.ArgumentParser(
          description="Reverberate the data directory with an option "
          "to add isotropic and point source noises. "
          "Usage: reverberate_data_dir.py [options...] <in-data-dir> <out-data-dir> "
          "E.g. reverberate_data_dir.py --rir-set-parameters rir_list "
          "--foreground-snrs 20:10:15:5:0 --background-snrs 20:10:15:5:0 "
          "--noise-list-file noise_list --speech-rvb-probability 1 --num-replications 2 "
          "--random-seed 1 data/train data/train_rvb",
          formatter_class=argparse.ArgumentDefaultsHelpFormatter,
      )
  
      parser.add_argument(
          "--rir-set-parameters",
          type=str,
          action="append",
          required=True,
          dest="rir_set_para_array",
          help="Specifies the parameters of an RIR set. "
          "Supports the specification of  mixture_weight and rir_list_file_name. The mixture weight is optional. "
          "The default mixture weight is the probability mass remaining after adding the mixture weights "
          "of all the RIR lists, uniformly divided among the RIR lists without mixture weights. "
          "E.g. --rir-set-parameters '0.3, rir_list' or 'rir_list' "
          "the format of the RIR list file is "
          "--rir-id <string,required> --room-id <string,required> "
          "--receiver-position-id <string,optional> --source-position-id <string,optional> "
          "--rt-60 <float,optional> --drr <float, optional> location <rspecifier> "
          "E.g. --rir-id 00001 --room-id 001 --receiver-position-id 001 --source-position-id 00001 "
          "--rt60 0.58 --drr -4.885 data/impulses/Room001-00001.wav",
      )
      parser.add_argument(
          "--noise-set-parameters",
          type=str,
          action="append",
          default=None,
          dest="noise_set_para_array",
          help="Specifies the parameters of an noise set. "
          "Supports the specification of mixture_weight and noise_list_file_name. The mixture weight is optional. "
          "The default mixture weight is the probability mass remaining after adding the mixture weights "
          "of all the noise lists, uniformly divided among the noise lists without mixture weights. "
          "E.g. --noise-set-parameters '0.3, noise_list' or 'noise_list' "
          "the format of the noise list file is "
          "--noise-id <string,required> --noise-type <choices = {isotropic, point source},required> "
          "--bg-fg-type <choices = {background, foreground}, default=background> "
          "--room-linkage <str, specifies the room associated with the noise file. Required if isotropic> "
          "location <rspecifier> "
          "E.g. --noise-id 001 --noise-type isotropic --rir-id 00019 iso_noise.wav",
      )
      parser.add_argument(
          "--num-replications",
          type=int,
          dest="num_replicas",
          default=1,
          help="Number of replicate to generated for the data",
      )
      parser.add_argument(
          "--foreground-snrs",
          type=str,
          dest="foreground_snr_string",
          default="20:10:0",
          help="When foreground noises are being added the script will iterate through these SNRs.",
      )
      parser.add_argument(
          "--background-snrs",
          type=str,
          dest="background_snr_string",
          default="20:10:0",
          help="When background noises are being added the script will iterate through these SNRs.",
      )
      parser.add_argument(
          "--prefix",
          type=str,
          default=None,
          help="This prefix will modified for each reverberated copy, by adding additional affixes.",
      )
      parser.add_argument(
          "--speech-rvb-probability",
          type=float,
          default=1.0,
          help="Probability of reverberating a speech signal, e.g. 0 <= p <= 1",
      )
      parser.add_argument(
          "--pointsource-noise-addition-probability",
          type=float,
          default=1.0,
          help="Probability of adding point-source noises, e.g. 0 <= p <= 1",
      )
      parser.add_argument(
          "--isotropic-noise-addition-probability",
          type=float,
          default=1.0,
          help="Probability of adding isotropic noises, e.g. 0 <= p <= 1",
      )
      parser.add_argument(
          "--rir-smoothing-weight",
          type=float,
          default=0.3,
          help="Smoothing weight for the RIR probabilties, e.g. 0 <= p <= 1. If p = 0, no smoothing will be done. "
          "The RIR distribution will be mixed with a uniform distribution according to the smoothing weight",
      )
      parser.add_argument(
          "--noise-smoothing-weight",
          type=float,
          default=0.3,
          help="Smoothing weight for the noise probabilties, e.g. 0 <= p <= 1. If p = 0, no smoothing will be done. "
          "The noise distribution will be mixed with a uniform distribution according to the smoothing weight",
      )
      parser.add_argument(
          "--max-noises-per-minute",
          type=int,
          default=2,
          help="This controls the maximum number of point-source noises that could be added to a recording according to its duration",
      )
      parser.add_argument(
          "--random-seed",
          type=int,
          default=0,
          help="seed to be used in the randomization of impulses and noises",
      )
      parser.add_argument(
          "--shift-output",
          type=str,
          help="If true, the reverberated waveform will be shifted by the amount of the peak position of the RIR",
          choices=["true", "false"],
          default="true",
      )
      parser.add_argument(
          "--source-sampling-rate",
          type=int,
          default=None,
          help="Sampling rate of the source data. If a positive integer is specified with this option, "
          "the RIRs/noises will be resampled to the rate of the source data.",
      )
      parser.add_argument(
          "--include-original-data",
          type=str,
          help="If true, the output data includes one copy of the original data",
          choices=["true", "false"],
          default="false",
      )
      parser.add_argument("input_dir", help="Input data directory")
      parser.add_argument("output_dir", help="Output data directory")
  
      print(" ".join(sys.argv))
  
      args = parser.parse_args()
      args = check_args(args)
  
      return args
  
imports: import argparse, shlex, glob, math, os, random, sys, warnings, copy, imp, ast
label_desc: Use image node_id 1 for calling a global function with example usage: get_args() and returns: args