code: def _fix_pydantic_duplicate_validators_error():
      """Pydantic by default disallows to reuse of validators with the same name,
      this combined with the Streamlit execution model leads to an error on the second
      Streamlit script rerun if the Pydantic validator is registered
      in the streamlit script.
  
      It is important to note that the same issue exists for Pydantic validators inside
      Jupyter notebooks, https://github.com/pydantic/pydantic/issues/312 and in order
      to fix that in Pydantic they use the `in_ipython` function that checks that
      Pydantic runs not in `ipython` environment.
  
      Inside this function we patch `in_ipython` function to always return `True`.
  
      This change will relax rules for writing Pydantic validators inside
      Streamlit script a little bit, similar to how it works in jupyter,
      which should not be critical.
      """
      try:
          from pydantic import class_validators
  
          class_validators.in_ipython = lambda: True  # type: ignore[attr-defined]
      except ImportError:
          pass
  
imports: import asyncio
  import os
  import signal
  import sys
  from pathlib import Path
  from typing import Any, Dict, List
  import click
  from streamlit import config, env_util, file_util, net_util, secrets, url_util, util, version
  from streamlit.config import CONFIG_FILENAMES
  from streamlit.git_util import MIN_GIT_VERSION, GitRepo
  from streamlit.logger import get_logger
  from streamlit.source_util import invalidate_pages_cache
  from streamlit.watcher import report_watchdog_availability, watch_dir, watch_file
  from streamlit.web.server import Server, server_address_is_unix_socket, server_util
label_desc: Use image node_id 8 for calling a global function with example usage: _fix_pydantic_duplicate_validators_error() without return types