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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _eligible_features_from_example_handler(self, request):
 """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:[]}. """

    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')