code: def _eligible_features_from_example_handler(self, request):
      
      features_list = inference_utils.get_eligible_features(
        self.examples[0: NUM_EXAMPLES_TO_SCAN], NUM_MUTANTS)
      return http_util.Respond(request, features_list, 'application/json')
docs: Returns a list of JSON objects for each feature in the example.
  
      Args:
        request: A request for features.
  
      Returns:
        A list with a JSON object for each feature.
        Numeric features are represented as {name: observedMin: observedMax:}.
        Categorical features are repesented as {name: samples:[]}.