class_docstr: Maps a feature path to its weight feature.
  
  This map can be created with a "global" weight feature and path-specific
  overrides. For any given FeaturePath, its weight column is the override, if
  specified, or the "global" one.
code: def get(
      self, feature_path: types.FeaturePath
  ) -> Optional[types.FeatureName]:
      if self._per_feature_override is None:
          return self._weight_feature
      override = self._per_feature_override.get(feature_path)
      return self._weight_feature if override is None else override
  
imports: from typing import FrozenSet, Mapping, Optional
  from tensorflow_data_validation import types
label_desc: Use image node_id 2 for calling the ExampleWeightMap obj's underlying member method code with example usage: obj.get(feature_path) and returns: unknown, self