code: def save_wav_segments_from_partitions(
      path, input_wav, partitions, songid, singer
  ):
      """
      Partition WAV files based on 'partitions' and save the segmented files.
      """
  
      # Load the (possibly converted) audio file for segmentation
      audio = AudioSegment.from_wav(input_wav)
      segids = []
      wav_scp = []
  
      for i, (start_time, end_time) in enumerate(partitions, 1):
          start_time_ms = int(start_time * 1000)
          end_time_ms = int(end_time * 1000)
          # Note: end_time_ms can be larger than the actual audio length.
          # But does not matter here
          segment = audio[start_time_ms:end_time_ms]
          segid = f"{songid}_{i:03}_{singer}"
          outfile = os.path.join(path, f"{segid}.wav")
          segment = segment.set_sample_width(2)
          segment.export(outfile, format="wav")
          segids.append(segid)
          wav_scp.append((segid, outfile))
  
      return segids, wav_scp
  
imports: import argparse
  import glob
  import logging
  import os
  import re
  import shutil
  import subprocess
  import wave
  from typing import List, TextIO, Tuple
  import miditoolkit
  import numpy
  from local.pinyin_dict import PINYIN_DICT
  from tqdm import tqdm
  from espnet2.fileio.score_scp import SingingScoreWriter
label_desc: Use image node_id 7 for calling a global function with example usage: save_wav_segments_from_partitions(path, input_wav, partitions, songid, singer) and returns: segids,  wav_scp