code: def test_seasonality_acf_qstat():
      """Test SeasonalityACFqstat on airline data."""
      X = load_airline().diff()[1:]
      sp_est = SeasonalityACFqstat(candidate_sp=[3, 7, 12])
      sp_est.fit(X)
  
      actual = sp_est.get_fitted_params()["sp_significant"]
      expected = np.array([12, 7, 3])
      np.testing.assert_array_equal(actual, expected)
  
imports: import numpy
  import pytest
  from sktime.datasets import load_airline
  from sktime.param_est.seasonality import SeasonalityACF, SeasonalityACFqstat
  from sktime.utils.validation._dependencies import _check_estimator_deps
label_desc: Use image node_id 3 for calling a global function with example usage: test_seasonality_acf_qstat() without return types