code: def get_tfjs_binary():
      """Download and return the path to the tfjs binary."""
      if sys.platform == "darwin":
          url = "http://storage.googleapis.com/tfjs-inference/tfjs-inference-macos"
      else:
          url = "http://storage.googleapis.com/tfjs-inference/tfjs-inference-linux"
  
      base_path = tempfile.mkdtemp()
      path = os.path.join(base_path, "binary")
      with urllib.request.urlopen(url) as response:
          with tf.io.gfile.GFile(path, "w") as file:
              shutil.copyfileobj(response, file)
      subprocess.check_call(["chmod", "+x", path])
      return path
  
imports: import os
  import shutil
  import subprocess
  import sys
  import tempfile
  import urllib
  import tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: get_tfjs_binary() and returns: path