code: def get_fixed_clusterers():
      cluster_cases = [
          # non-overlapping
          [[1, 2], [0, 3, 4]],
          # overlapping
          [[1, 2, 3], [0, 3, 4]],
      ]
      for clusters in cluster_cases:
          clusters = np.array(clusters)
          yield clusters, FixedLabelSpaceClusterer(clusters=clusters)
  
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 a global function with example usage: get_fixed_clusterers() without return types