code: def tensorboard_data_server_version():
      try:
          import tensorboard_data_server
      except ImportError:
          logging.info("no data server installed")
          return
  
      path = tensorboard_data_server.server_binary()
      logging.info("data server binary: %r", path)
      if path is None:
          return
  
      try:
          subprocess_output = subprocess.run(
              [path, "--version"],
              capture_output=True,
              check=True,
          )
      except subprocess.CalledProcessError as e:
          logging.info("failed to check binary version: %s", e)
      else:
          logging.info(
              "data server binary version: %s",
              subprocess_output.stdout.strip(),
          )
  
imports: import dataclasses
  import errno
  import functools
  import hashlib
  import inspect
  import logging
  import os
  import pipes
  import shlex
  import socket
  import subprocess
  import sys
  import tempfile
  import textwrap
  import traceback
label_desc: Use image node_id 12 for calling a global function with example usage: tensorboard_data_server_version() without return types