code: def test_layoutlm_embeddings_with_context_warns_user(self):
      sentence = Sentence(["I", "love", "Berlin"])
      sentence[0].add_metadata("bbox", BoundingBox(0, 0, 10, 10))
      sentence[1].add_metadata("bbox", (12, 0, 22, 10))
      sentence[2].add_metadata("bbox", (0, 12, 10, 22))
      with pytest.warns(UserWarning) as record:
          TransformerWordEmbeddings(
              "microsoft/layoutlm-base-uncased",
              layers="-1,-2,-3,-4",
              use_context=True,
          )
      assert len(record) == 1
      assert "microsoft/layoutlm" in record[0].message.args[0]
  
imports: import importlib.util
  import warnings
  import pytest
  import torch
  from PIL import Image
  from transformers.utils import is_detectron2_available
  from flair.data import BoundingBox, Dictionary, Sentence
  from flair.embeddings import TransformerJitWordEmbeddings, TransformerWordEmbeddings
  from flair.models import SequenceTagger
  from tests.embedding_test_utils import BaseEmbeddingsTest
label_desc: Use image node_id 8 for calling the TestTransformerWordEmbeddings obj's underlying member method code with example usage: obj.test_layoutlm_embeddings_with_context_warns_user() without return types