code: def test_not_fitted():
      static_selection_test = StaticSelection()
      with pytest.raises(NotFittedError):
          static_selection_test.predict(np.array([[1, -1]]))
  
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 5 for calling a global function with example usage: test_not_fitted() without return types