code: def update_metadata_from(self, datapoint: VarMisuseSample) -> None:
      graph = datapoint["ContextGraph"]
      graph_data = GraphData(
          node_information=[
              (graph["NodeLabels"][str(i)], False)
              for i in range(len(graph["NodeLabels"]))
          ],
          edges=graph["Edges"],
          reference_nodes={},  # This is not needed for metadata loading
      )
      self.__add_subtoken_vocab_nodes(graph_data)
      self.__gnn_model.update_metadata_from(graph_data)
  
imports: from typing_extensions import Final, TypedDict
  import re
  import torch
  from dpu_utils.codeutils import split_identifier_into_parts
  from itertools import chain
  from torch import nn
  from torch_scatter import scatter_log_softmax, scatter_max
  from typing import Any, Dict, Iterator, List, NamedTuple, Optional, Tuple, Union
  from ptgnn.baseneuralmodel import AbstractNeuralModel, ModuleWithMetrics
  from ptgnn.neuralmodels.gnn.graphneuralnetwork import GraphNeuralNetwork, GraphNeuralNetworkModel
  from ptgnn.neuralmodels.gnn.structs import GnnOutput, GraphData, TensorizedGraphData
label_desc: Use image node_id 3 for calling the VarMisuseModel obj's underlying member method code with example usage: obj.update_metadata_from(datapoint) without return types