code: def test_bleuscore():
      # dataset with two sentences
      sentences = [
          "a quick brown fox jumped",
          "the rain in spain falls mainly on the plains",
      ]
  
      references = [
          [
              "a fast brown fox jumped",
              "a quick brown fox vaulted",
              "a rapid fox of brown color jumped",
              "the dog is running on the grass",
          ],
          [
              "the precipitation in spain falls on the plains",
              "spanish rain falls for the most part on the plains",
              "the rain in spain falls in the plains most of the time",
              "it is raining today",
          ],
      ]
  
      # reference scores for the given set of reference sentences
      bleu_score_references = [
          92.9,
          88.0,
          81.5,
          67.1,
      ]  # bleu1, bleu2, bleu3, bleu4
  
      # compute scores
      bleu_metric = BLEUScore()
      bleu_metric(sentences, references)
  
      # check against references
      for score, reference in zip(
          bleu_metric.bleu_n, bleu_score_references
      ):
          assert round(score, 1) == reference
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_bleuscore() without return types