code: def test_predict_diff(example_static_selection):
      X, y, pool = example_static_selection
  
      static_selection_test = StaticSelection(pool, 0.75)
      static_selection_test.fit(X, y)
  
      predicted_labels = static_selection_test.predict(X)
      assert np.equal(predicted_labels, 1).all()
  
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 4 for calling a global function with example usage: test_predict_diff(example_static_selection) without return types