code: def representation_size(self) -> int:
      return self.__str_node_annotation.representation_size() + 1
  
imports: import torch
  from torch import nn
  from typing import Any, Dict, Tuple
  from ptgnn.baseneuralmodel import AbstractNeuralModel
  from ptgnn.neuralmodels.embeddings.strelementrepresentationmodel import StrElementRepresentationModel
  from ptgnn.neuralmodels.gnn.structs import AbstractNodeEmbedder
label_desc: Use image node_id 8 for calling the CandidateNodeAnnotationModel obj's underlying member method code with example usage: obj.representation_size() and returns: unknown