code: def __construct_silence_set(
      rng: np.random.RandomState,
      sampling_rate: int,
      silence_stride: int,
      data_folder: str,
      background_noise: str,
  ) -> List[str]:
      """
      Creates silence files given a background noise.
  
      Args:
          rng: Random state for random number generator
          sampling_rate: sampling rate of the audio
          silence_stride: stride for creating silence files
          data_folder: folder containing the silence directory
          background_noise: filepath of the background noise
  
      Returns:
          List of filepaths of silence files
      """
      silence_files = []
      if ".wav" in background_noise:
          y, sr = librosa.load(background_noise, sr=sampling_rate)
  
          for i in range(0, len(y) - sampling_rate, silence_stride):
              file_path = f"silence/{os.path.basename(background_noise)[:-4]}_{i}.wav"
              y_slice = y[i : i + sampling_rate] * rng.uniform(0.0, 1.0)
              out_file_path = os.path.join(data_folder, file_path)
              soundfile.write(out_file_path, y_slice, sr)
  
              silence_files.append(("silence", out_file_path))
  
      return silence_files
  
imports: import argparse
  import glob
  import json
  import logging
  import os
  import re
  import tarfile
  import urllib.request
  from collections import defaultdict
  from functools import partial
  from multiprocessing import Pool
  from typing import Dict, List, Set, Tuple
  import librosa
  import numpy
  import soundfile
  from tqdm import tqdm
label_desc: Use image node_id 6 for calling a global function with example usage: __construct_silence_set(rng, sampling_rate, silence_stride, data_folder, background_noise) and returns: silence_files