code: def test_actually_works_on_proper_params(self):
      for X, y in self.get_multilabel_data_for_tests("sparse"):
          assert sp.issparse(y)
  
          for clusters, clusterer in get_fixed_clusterers():
              self.assertEqual(
                  clusterer.clusters.tolist(), clusters.tolist()
              )
  
              division = clusterer.fit_predict(X, y)
              self.assertIsInstance(division, np.ndarray)
              print(division, clusters)
              self.assertEqual(division.tolist(), clusters.tolist())
              for label in range(y.shape[1]):
                  self.assertTrue(
                      any(label in subset for subset in division)
                  )
  
file_path: scikit-multilearn/skmultilearn/cluster/tests/test_fixed.py
imports: import scipy.sparse
  import numpy
  from skmultilearn.cluster import FixedLabelSpaceClusterer
  from skmultilearn.tests.classifier_basetest import ClassifierBaseTest
label_desc: Use image node_id 1 for calling the FixedLabelSpaceClustererTests obj's underlying member method code with example usage: obj.test_actually_works_on_proper_params() without return types