code: def main():
      logging.basicConfig(stream=sys.stderr, level=logging.INFO)
      parser = argparse.ArgumentParser(
          prog="audio_dataset",
          description="Generate .jsonl files by scanning a folder.",
      )
      parser.add_argument(
          "root", help="Root folder with all the audio files"
      )
      parser.add_argument(
          "output_meta_file", help="Output file to store the metadata, "
      )
      parser.add_argument(
          "--complete",
          action="store_false",
          dest="minimal",
          default=True,
          help="Retrieve all metadata, even the one that are expansive "
          "to compute (e.g. normalization).",
      )
      parser.add_argument(
          "--resolve",
          action="store_true",
          default=False,
          help="Resolve the paths to be absolute and with no symlinks.",
      )
      parser.add_argument(
          "--workers", default=10, type=int, help="Number of workers."
      )
      args = parser.parse_args()
      meta = find_audio_files(
          args.root,
          DEFAULT_EXTS,
          progress=True,
          resolve=args.resolve,
          minimal=args.minimal,
          workers=args.workers,
      )
      save_audio_meta(args.output_meta_file, meta)
  
imports: import argparse
  import copy
  from concurrent.futures import ThreadPoolExecutor, Future
  from dataclasses import dataclass, fields
  from contextlib import ExitStack
  from functools import lru_cache
  import gzip
  import json
  import logging
  import os
  from pathlib import Path
  import random
  import sys
  import typing
  import torch
  import torch.nn.functional
  from .audio import audio_read, audio_info
  from .audio_utils import convert_audio
  from .zip import PathInZip
label_desc: Use image node_id 6 for calling a global function with example usage: main() without return types