code: def test_accessible_kl_divergence():
      # Ensures that the accessible kl_divergence matches the computed value
      random_state = check_random_state(0)
      X = random_state.randn(50, 2)
      tsne = TSNE(
          n_iter_without_progress=2,
          verbose=2,
          random_state=0,
          method="exact",
          n_iter=500,
      )
  
      old_stdout = sys.stdout
      sys.stdout = StringIO()
      try:
          tsne.fit_transform(X)
      finally:
          out = sys.stdout.getvalue()
          sys.stdout.close()
          sys.stdout = old_stdout
  
      # The output needs to contain the accessible kl_divergence as the error at
      # the last iteration
      for line in out.split("\n")[::-1]:
          if "Iteration" in line:
              _, _, error = line.partition("error = ")
              if error:
                  error, _, _ = error.partition(",")
                  break
      assert_almost_equal(tsne.kl_divergence_, float(error), decimal=5)
  
imports: import sys
  from io import StringIO
  import numpy
  import pytest
  import scipy.sparse
  from numpy.testing import assert_allclose
  from scipy.optimize import check_grad
  from scipy.spatial.distance import pdist, squareform
  from sklearn import config_context
  from sklearn.datasets import make_blobs
  from sklearn.exceptions import EfficiencyWarning
  from sklearn.manifold import TSNE, _barnes_hut_tsne
  from sklearn.manifold._t_sne import _gradient_descent, _joint_probabilities, _joint_probabilities_nn, _kl_divergence, _kl_divergence_bh, trustworthiness
  from sklearn.manifold._utils import _binary_search_perplexity
  from sklearn.metrics.pairwise import cosine_distances, manhattan_distances, pairwise_distances
  from sklearn.neighbors import NearestNeighbors, kneighbors_graph
  from sklearn.utils import check_random_state
  from sklearn.utils._testing import assert_almost_equal, assert_array_almost_equal, assert_array_equal, ignore_warnings, skip_if_32bit
  from sklearn.utils.fixes import CSR_CONTAINERS, LIL_CONTAINERS
label_desc: Use image node_id 38 for calling a global function with example usage: test_accessible_kl_divergence() without return types