code: def _is_metric_supported(metric_name):
      import sklearn
  
      # This dict can be extended to store special metrics' specific supported versions
      _metric_supported_version = {"roc_auc_score": "0.22.2"}
  
      return Version(sklearn.__version__) >= Version(
          _metric_supported_version[metric_name]
      )
  
imports: import collections
  import inspect
  import logging
  import pkgutil
  import platform
  import warnings
  from copy import deepcopy
  from importlib import import_module
  from numbers import Number
  from operator import itemgetter
  import numpy
  from packaging.version import Version
  from mlflow import MlflowClient
  from mlflow.utils.arguments_utils import _get_arg_names
  from mlflow.utils.file_utils import TempDir
  from mlflow.utils.mlflow_tags import MLFLOW_PARENT_RUN_ID
  from mlflow.utils.time import get_current_time_millis
label_desc: Use image node_id 21 for calling a global function with example usage: _is_metric_supported(metric_name) and returns: unknown