code: def __extract_all_files(filepath: str, data_root: str, data_dir: str):
      if not os.path.exists(data_dir):
          extract_file(filepath, data_dir)
      else:
          logging.info(
              f"Skipping extracting. Data already there {data_dir}"
          )
  
imports: import argparse
  import glob
  import json
  import logging
  import os
  import tarfile
  import urllib.request
  import librosa
  import numpy
  import soundfile
  from sklearn.model_selection import train_test_split
label_desc: Use image node_id 3 for calling a global function with example usage: __extract_all_files(filepath, data_root, data_dir) without return types