code: def test_fit_predict(self):
      predicted_labels = self.estimator.fit_predict(self.X)
      assert_equal(predicted_labels.shape[0], self.X.shape[0])
  
imports: import os
  import sys
  import unittest
  import numpy
  from sklearn.cluster import KMeans
  from sklearn.cluster import MiniBatchKMeans
  from sklearn.cluster import AgglomerativeClustering
  from sklearn.datasets import load_breast_cancer
  from numpy.testing import assert_equal
  from combo.models.cluster_comb import ClustererEnsemble
  from combo.models.cluster_comb import clusterer_ensemble_scores
label_desc: Use image node_id 5 for calling the TestClustererEnsemble obj's underlying member method code with example usage: obj.test_fit_predict() without return types