code: def create_zip(data_root: Path, zip_path: Path):
      paths = list(data_root.glob("*.npy"))
      paths.extend(data_root.glob("*.flac"))
      with zipfile.ZipFile(zip_path, "w", zipfile.ZIP_STORED) as f:
          for path in tqdm(paths):
              f.write(path, arcname=path.name)
  
imports: import csv
  from pathlib import Path
  import zipfile
  from functools import reduce
  from multiprocessing import cpu_count
  from typing import Any, Dict, List, Optional, Union
  import io
  import numpy
  import pandas
  import sentencepiece
  from fairseq.data.audio.audio_utils import convert_waveform, _get_kaldi_fbank, _get_torchaudio_fbank, is_npy_data, is_sf_audio_data
  import torch
  import soundfile
  from tqdm import tqdm
label_desc: Use image node_id 3 for calling a global function with example usage: create_zip(data_root, zip_path) without return types