code: def _check_version_compatibility(
      archive_file: Union[PathLike, str], meta: Meta
  ):
      meta_version_tuple = _parse_version(meta.version)
      # Warn if current version is behind the version the model was trained on.
      if _VERSION_TUPLE < meta_version_tuple:
          warnings.warn(
              f"The model {archive_file} was trained on a newer version of AllenNLP (v{meta.version}), "
              f"but you're using version {VERSION}.",
              UserWarning,
          )
      # Warn if major versions differ since there is no guarantee of backwards
      # compatibility across major releases.
      elif _VERSION_TUPLE[0] != meta_version_tuple[0]:
          warnings.warn(
              f"The model {archive_file} was trained on version {meta.version} of AllenNLP, "
              f"but you're using {VERSION} which may not be compatible.",
              UserWarning,
          )
  
imports: from os import PathLike
  from pathlib import Path
  from typing import Tuple, NamedTuple, Union, Dict, Any, List, Optional
  import logging
  import os
  import tempfile
  import tarfile
  import shutil
  from contextlib import contextmanager
  import glob
  import warnings
  from torch.nn import Module
  from allennlp.version import VERSION, _MAJOR, _MINOR, _PATCH
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.file_utils import cached_path
  from allennlp.common.meta import Meta, META_NAME
  from allennlp.common.params import Params
  from allennlp.data.dataset_readers import DatasetReader
  from allennlp.models.model import Model, _DEFAULT_WEIGHTS
label_desc: Use image node_id 9 for calling a global function with example usage: _check_version_compatibility(archive_file, meta) without return types