class_docstr: A model that accepts strings and returns a single representation (embedding) for each one of them.
code: def extend_minibatch_with(
      self,
      tensorized_datapoint: Union[int, List[int]],
      partial_minibatch: Dict[str, Any],
  ) -> bool:
      partial_minibatch["token_idxs"].append(tensorized_datapoint)
      return True
  
imports: from typing_extensions import Final, Literal
  import logging
  import math
  import numpy
  import torch
  import torch.nn
  from dpu_utils.codeutils import split_identifier_into_parts
  from dpu_utils.mlutils import BpeVocabulary, CharTensorizer, Vocabulary
  from typing import Any, Counter, Dict, List, NamedTuple, Optional, Union
  from ptgnn.baseneuralmodel import AbstractNeuralModel
  from ptgnn.neuralmodels.gnn.structs import AbstractNodeEmbedder
label_desc: Use image node_id 11 for calling the StrElementRepresentationModel obj's underlying member method code with example usage: obj.extend_minibatch_with(tensorized_datapoint, partial_minibatch) and returns: True