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 clusterer in get_random_clusterers():
              partition = clusterer.fit_predict(X, y)
              self.assertIsInstance(partition, np.ndarray)
              for label in range(y.shape[1]):
                  assert any(label in subset for subset in partition)
  
file_path: scikit-multilearn/skmultilearn/cluster/tests/test_random.py
imports: import numpy
  import scipy.sparse
  from skmultilearn.cluster import RandomLabelSpaceClusterer
  from skmultilearn.tests.classifier_basetest import ClassifierBaseTest
label_desc: Use image node_id 1 for calling the RandomClustererTests obj's underlying member method code with example usage: obj.test_actually_works_on_proper_params() without return types