code: def test_wittenbell_trigram_score(
      wittenbell_trigram_model, word, context, expected_score
  ):
      assert (
          pytest.approx(
              wittenbell_trigram_model.score(word, context), 1e-4
          )
          == expected_score
      )
  
imports: import math
  from operator import itemgetter
  import pytest
  from nltk.lm import MLE, AbsoluteDiscountingInterpolated, KneserNeyInterpolated, Laplace, Lidstone, StupidBackoff, Vocabulary, WittenBellInterpolated
  from nltk.lm.preprocessing import padded_everygrams
label_desc: Use image node_id 23 for calling a global function with example usage: test_wittenbell_trigram_score(wittenbell_trigram_model, word, context, expected_score) without return types