code: def update_fpl_features(
      fpl: types.FeaturesPredictionsLabels,
      new_features: types.DictOfFetchedTensorValues,
  ):
      """Add new features to the FPL."""
      for key, value in new_features.items():
          # if the key already exists in the dictionary, throw an error.
          if key in fpl.features:
              raise ValueError(
                  "Modification of existing keys is not allowed."
              )
          _set_feature_value(fpl.features, key, value)
  
file_path: model-analysis/tensorflow_model_analysis/extractors/legacy_meta_feature_extractor.py
imports: import copy
  from typing import Any, Callable
  import apache_beam
  import numpy
  import tensorflow
  from tensorflow_model_analysis import constants
  from tensorflow_model_analysis.api import types
  from tensorflow_model_analysis.eval_saved_model import encoding
label_desc: Use image node_id 4 for calling a global function with example usage: update_fpl_features(fpl, new_features) without return types