code: def test_expected_mutual_info_overflow():
      # Test for regression where contingency cell exceeds 2**16
      # leading to overflow in np.outer, resulting in EMI > 1
      assert (
          expected_mutual_information(np.array([[70000]]), 70000) <= 1
      )
  
imports: import warnings
  import numpy
  import pytest
  from numpy.testing import assert_allclose, assert_array_almost_equal, assert_array_equal
  from sklearn.metrics.cluster import adjusted_mutual_info_score, adjusted_rand_score, completeness_score, contingency_matrix, entropy, expected_mutual_information, fowlkes_mallows_score, homogeneity_completeness_v_measure, homogeneity_score, mutual_info_score, normalized_mutual_info_score, pair_confusion_matrix, rand_score, v_measure_score
  from sklearn.metrics.cluster._supervised import _generalized_average, check_clusterings
  from sklearn.utils import assert_all_finite
  from sklearn.utils._testing import assert_almost_equal
label_desc: Use image node_id 12 for calling a global function with example usage: test_expected_mutual_info_overflow() without return types