code: def assert_classifier_correct(algorithm):
      try:
          classifier = classify.MaxentClassifier.train(
              TRAIN, algorithm, trace=0, max_iter=1000
          )
      except (LookupError, AttributeError) as e:
          pytest.skip(str(e))
  
      for (px, py), featureset in zip(RESULTS, TEST):
          pdist = classifier.prob_classify(featureset)
          assert abs(pdist.prob("x") - px) < 1e-2, (pdist.prob("x"), px)
          assert abs(pdist.prob("y") - py) < 1e-2, (pdist.prob("y"), py)
  
imports: import pytest
  from nltk import classify
label_desc: Use image node_id 1 for calling a global function with example usage: assert_classifier_correct(algorithm) without return types