code: def test_both_subclusters_updated():
      """Check that both subclusters are updated when a node a split, even when there are
      duplicated data points. Non-regression test for #23269.
      """
  
      X = np.array(
          [
              [-2.6192791, -1.5053215],
              [-2.9993038, -1.6863596],
              [-2.3724914, -1.3438171],
              [-2.336792, -1.3417323],
              [-2.4089134, -1.3290224],
              [-2.3724914, -1.3438171],
              [-3.364009, -1.8846745],
              [-2.3724914, -1.3438171],
              [-2.617677, -1.5003285],
              [-2.2960556, -1.3260119],
              [-2.3724914, -1.3438171],
              [-2.5459878, -1.4533926],
              [-2.25979, -1.3003055],
              [-2.4089134, -1.3290224],
              [-2.3724914, -1.3438171],
              [-2.4089134, -1.3290224],
              [-2.5459878, -1.4533926],
              [-2.3724914, -1.3438171],
              [-2.9720619, -1.7058647],
              [-2.336792, -1.3417323],
              [-2.3724914, -1.3438171],
          ],
          dtype=np.float32,
      )
  
      # no error
      Birch(branching_factor=5, threshold=1e-5, n_clusters=None).fit(X)
  
imports: import numpy
  import pytest
  from sklearn.cluster import AgglomerativeClustering, Birch
  from sklearn.cluster.tests.common import generate_clustered_data
  from sklearn.datasets import make_blobs
  from sklearn.exceptions import ConvergenceWarning
  from sklearn.metrics import pairwise_distances_argmin, 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 15 for calling a global function with example usage: test_both_subclusters_updated() without return types