code: def extend_minibatch_with(
      self,
      tensorized_datapoint: Tuple[Any, bool],
      partial_minibatch: Dict[str, Any],
  ) -> bool:
      continue_extending = (
          self.__str_node_annotation.extend_minibatch_with(
              tensorized_datapoint[0], partial_minibatch["node_data"]
          )
      )
      partial_minibatch["is_candidate"].append(tensorized_datapoint[1])
      return continue_extending
  
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 6 for calling the CandidateNodeAnnotationModel obj's underlying member method code with example usage: obj.extend_minibatch_with(tensorized_datapoint, partial_minibatch) and returns: continue_extending