code: def test_rte_classification_with_megam(self):
      try:
          config_megam()
      except (LookupError, AttributeError) as e:
          pytest.skip("Skipping tests with dependencies on MEGAM")
      clf = rte_classifier("megam", sample_N=100)
  
file_path: nltk/nltk/test/unit/test_rte_classify.py
imports: import pytest
  from nltk import config_megam
  from nltk.classify.rte_classify import RTEFeatureExtractor, rte_classifier, rte_features
  from nltk.corpus import rte
label_desc: Use image node_id 4 for calling the TestRTEClassifier obj's underlying member method code with example usage: obj.test_rte_classification_with_megam() without return types