code: def test_mlknn_supports_parallelization(self):
      classifier = MLkNN(
          k=MLkNNTest.TEST_NEIGHBORS, n_jobs=MLkNNTest.N_JOBS
      )
      knn_params = classifier.knn_.get_params()
  
      self.assertEqual(knn_params["n_jobs"], MLkNNTest.N_JOBS)
  
file_path: scikit-multilearn/skmultilearn/adapt/tests/test_mlknn.py
imports: import unittest
  from skmultilearn.adapt import MLkNN
  from skmultilearn.tests.classifier_basetest import ClassifierBaseTest
label_desc: Use image node_id 6 for calling the MLkNNTest obj's underlying member method code with example usage: obj.test_mlknn_supports_parallelization() without return types