code: def tensorize(self, datapoint: Tuple[str, bool]) -> Tuple[Any, bool]:
      return (
          self.__str_node_annotation.tensorize(datapoint[0]),
          datapoint[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 4 for calling the CandidateNodeAnnotationModel obj's underlying member method code with example usage: obj.tensorize(datapoint) and returns: self,  datapoint