code: def test_unique_labels_pandas_nullable(dtype):
      """Checks that unique_labels work with pandas nullable dtypes.
  
      Non-regression test for gh-25634.
      """
      pd = pytest.importorskip("pandas")
  
      y_true = pd.Series([1, 0, 0, 1, 0, 1, 1, 0, 1], dtype=dtype)
      y_predicted = pd.Series(
          [0, 0, 1, 1, 0, 1, 1, 1, 1], dtype="int64"
      )
  
      labels = unique_labels(y_true, y_predicted)
      assert_array_equal(labels, [0, 1])
  
imports: from itertools import product
  import numpy
  import pytest
  from scipy.sparse import issparse
  from sklearn import config_context, datasets
  from sklearn.model_selection import ShuffleSplit
  from sklearn.svm import SVC
  from sklearn.utils._array_api import yield_namespace_device_dtype_combinations
  from sklearn.utils._testing import _array_api_for_tests, assert_allclose, assert_array_almost_equal, assert_array_equal
  from sklearn.utils.estimator_checks import _NotAnArray
  from sklearn.utils.fixes import COO_CONTAINERS, CSC_CONTAINERS, CSR_CONTAINERS, DOK_CONTAINERS, LIL_CONTAINERS
  from sklearn.utils.metaestimators import _safe_split
  from sklearn.utils.multiclass import _ovr_decision_function, check_classification_targets, class_distribution, is_multilabel, type_of_target, unique_labels
label_desc: Use image node_id 11 for calling a global function with example usage: test_unique_labels_pandas_nullable(dtype) without return types