def to_dict(self):
        result = {
            'id': self.id,
            'name': self.name,
            'description': self.description,
            'display_mode': self.display_mode,
            'is_terminal': self.is_terminal,
            'is_trainable': self.is_trainable,
            'is_string_classifier_trainable':
                self.is_string_classifier_trainable,
            'is_linear': self.is_linear,
            'needs_summary': self.needs_summary,
            'customization_arg_specs': [{
                'name': ca_spec.name,
                'description': ca_spec.description,
                'default_value': ca_spec.default_value,
                'schema': ca_spec.schema,
            } for ca_spec in self.customization_arg_specs],
            'instructions': self.instructions,
            'narrow_instructions': self.narrow_instructions,
            'default_outcome_heading': self.default_outcome_heading,
        }

        # Add information about rule descriptions corresponding to the answer
        # type for this interaction.
        result['rule_descriptions'] = (
            rule_domain.get_description_strings_for_obj_type(
                self.answer_type))

        return result
Testing sandboxing NavigationBarHook when get_entries function
dataset/ETHPy150Open oppia/oppia/extensions/interactions/base.py/BaseInteraction.to_dict--crossover with--dataset/ETHPy150Open reviewboard/reviewboard/reviewboard/extensions/tests.py/SandboxTests.test_get_entries