code: def test_predict_proba(example_static_selection):
      X, y, pool = example_static_selection
      expected = np.tile([0.52, 0.48], (y.size, 1))
      static_selection_test = StaticSelection(pool, 0.5)
      static_selection_test.fit(X, y)
      proba = static_selection_test.predict_proba(X)
      assert np.allclose(proba, expected)
  
imports: import numpy
  import pytest
  from sklearn.datasets import make_classification
  from sklearn.ensemble import AdaBoostClassifier
  from sklearn.exceptions import NotFittedError
  from sklearn.metrics import log_loss
  from sklearn.utils.estimator_checks import check_estimator
  from deslib.static.static_selection import StaticSelection
label_desc: Use image node_id 10 for calling a global function with example usage: test_predict_proba(example_static_selection) without return types