code: def maybe_download_and_extract():
      """Download and extract processed data and embeddings."""
      dest_directory = "."
      filename = DATA_URL.split("/")[-1]
      filepath = os.path.join(dest_directory, filename)
      if not os.path.exists(filepath):
  
          def _progress(count, block_size, total_size):
              sys.stdout.write(
                  "\r>> Downloading %s %.1f%%"
                  % (
                      filename,
                      float(count * block_size)
                      / float(total_size)
                      * 100.0,
                  )
              )
              sys.stdout.flush()
  
          filepath, _ = urllib.request.urlretrieve(
              DATA_URL, filepath, _progress
          )
          print()
          statinfo = os.stat(filepath)
          print(
              "Successfully downloaded",
              filename,
              statinfo.st_size,
              "bytes.",
          )
      extracted_dir_path = os.path.join(dest_directory, "trees")
      if not os.path.exists(extracted_dir_path):
          zip_ref = zipfile.ZipFile(filepath, "r")
          zip_ref.extractall(dest_directory)
          zip_ref.close()
  
file_path: dynet/examples/treelstm/main.py
imports: from __future__ import print_function
  import dynet
  import sys
  import time
  import os
  import argparse
  import warnings
  import zipfile
  from six.moves import urllib
  from model import TreeLSTMClassifier
  from utils import get_embeds, acc_eval
  from scheduler import Scheduler
  from dataloader import DataLoader
label_desc: Use image node_id 1 for calling a global function with example usage: maybe_download_and_extract() without return types