code: def test_actually_works_on_proper_params(self):
      for X, y in self.get_multilabel_data_for_tests("sparse"):
          assert sp.issparse(y)
  
          balanced = balancedkmeans.BalancedKMeansClusterer(k=3, it=50)
          partition = balanced.fit_predict(X, y)
          self.assertIsInstance(partition, np.ndarray)
          for label in range(y.shape[1]):
              self.assertTrue(
                  any(label in subset for subset in partition)
              )
  
imports: import numpy
  import scipy.sparse
  from skmultilearn.cluster import balancedkmeans
  from skmultilearn.tests.classifier_basetest import ClassifierBaseTest
label_desc: Use image node_id 1 for calling the BalancedKMeansClustererTest obj's underlying member method code with example usage: obj.test_actually_works_on_proper_params() without return types