code: def _get_config_value(
      key: str, metric_config: Dict[str, Any]
  ) -> Optional[Any]:
      """Returns value for key within config or None."""
      if (
          _CONFIG_KEY in metric_config
          and key in metric_config[_CONFIG_KEY]
      ):
          return metric_config[_CONFIG_KEY][key]
      return None
  
imports: import collections
  import importlib
  import itertools
  from typing import Any, Dict, Iterable, List, Optional, Type, Tuple, Union
  import apache_beam
  import numpy
  import tensorflow
  from tensorflow_model_analysis import constants
  from tensorflow_model_analysis.metrics import binary_confusion_matrices
  from tensorflow_model_analysis.metrics import metric_types
  from tensorflow_model_analysis.metrics import metric_util
  from tensorflow_model_analysis.metrics import tf_metric_accumulators
  from tensorflow_model_analysis.proto import config_pb2
  from tensorflow_model_analysis.utils import model_util
label_desc: Use image node_id 11 for calling a global function with example usage: _get_config_value(key, metric_config) and returns: None, metric_config