code: def test_featurized_values():
      """Test against plain transformation.
  
      Test to check that the featurized values are same as if transformation is done
      without YtoX.
      """
      lags = len(y_test)
      featurizer = YtoX() * ExponentTransformer() * Lag(lags)
      featurizer.fit(X_train, y_train)
      X_hat = featurizer.transform(X_test, y_test)
  
      exp_transformer = ExponentTransformer()
      expected_len = lags + len(y_test)
      y_hat = exp_transformer.fit_transform(y[-expected_len:])
      assert_array_equal(
          X_hat[f"lag_{lags}__TOTEMP"].values, y_hat.values
      )
  
imports: from numpy.testing import assert_array_equal
  from sktime.datasets import load_longley
  from sktime.split import temporal_train_test_split
  from sktime.transformations.compose import YtoX
  from sktime.transformations.series.exponent import ExponentTransformer
  from sktime.transformations.series.lag import Lag
label_desc: Use image node_id 1 for calling a global function with example usage: test_featurized_values() without return types