code: def test_context_is_set_correctly(self):
      sentences = [
          Sentence("this is a very very very long sentence"),
          Sentence("this is a shorter sentence"),
          Sentence(""),
          Sentence(
              "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"
          ),
          Sentence("b"),
      ]
      embedding = TransformerEmbeddings(
          "distilbert-base-cased", use_context=True
      )
      label_dictionary = Dictionary()
      model = self.build_model(embedding, label_dictionary)
  
      if isinstance(model, FewshotClassifier):
          model.add_and_switch_to_new_task("test", ["a", "b"], "label")
  
      model.predict(sentences)
  
      for first, second in zip(sentences[:-1], sentences[1:]):
          assert first.next_sentence() == second
          assert first == second.previous_sentence()
  
      assert sentences[0].previous_sentence() is None
      assert sentences[-1].next_sentence() is None
  
imports: from typing import Any, Dict, List, Optional, Type
  import pytest
  import flair
  from flair.data import Dictionary, Sentence
  from flair.embeddings import TransformerEmbeddings
  from flair.models import FewshotClassifier
  from flair.nn import Model
  from flair.trainers import ModelTrainer
label_desc: Use image node_id 20 for calling the BaseModelTest obj's underlying member method code with example usage: obj.test_context_is_set_correctly() without return types