code: def test_wrapping_for_topk_lm_model():
      """This tests using the Explainer class to auto wrap a masker in a language modelling scenario."""
  
      transformers = pytest.importorskip("transformers")
  
      name = "hf-internal-testing/tiny-random-BartForCausalLM"
      tokenizer = transformers.AutoTokenizer.from_pretrained(name)
      model = transformers.AutoModelForCausalLM.from_pretrained(name)
      wrapped_model = shap.models.TopKLM(model, tokenizer)
      masker = shap.maskers.Text(tokenizer, mask_token="...")
  
      explainer = shap.Explainer(wrapped_model, masker, seed=1)
  
      assert shap.utils.safe_isinstance(
          explainer.masker, "shap.maskers.FixedComposite"
      )
  
imports: import pytest
  import sklearn
  import shap
label_desc: Use image node_id 3 for calling a global function with example usage: test_wrapping_for_topk_lm_model() without return types