code: def test_fit_predict(csr_container):
      """Check if labels from fit(X) method are same as from fit(X).predict(X)."""
      rng = np.random.RandomState(0)
  
      X = rng.rand(10, 2)
  
      if csr_container is not None:
          X[X < 0.8] = 0
          X = csr_container(X)
  
      bisect_means = BisectingKMeans(n_clusters=3, random_state=0)
      bisect_means.fit(X)
  
      assert_array_equal(bisect_means.labels_, bisect_means.predict(X))
  
file_path: scikit-learn/sklearn/cluster/tests/test_bisect_k_means.py
imports: import numpy
  import pytest
  from sklearn.cluster import BisectingKMeans
  from sklearn.metrics import v_measure_score
  from sklearn.utils._testing import assert_allclose, assert_array_equal
  from sklearn.utils.fixes import CSR_CONTAINERS
label_desc: Use image node_id 5 for calling a global function with example usage: test_fit_predict(csr_container) without return types