code: def test_recursive_reducer_X_not_fit_to_fh():
      """Test recursive reducer with X that do not fit the fh.
  
      I.e., either X is longer or smaller than max_fh
      """
      y = load_airline()
      y_train, y_test = temporal_train_test_split(y)
      X_train = y_train
      X_test = y_test
  
      forecaster = make_reduction(
          LinearRegression(), window_length=2, strategy="recursive"
      )
      forecaster.fit(y_train, X_train)
  
      pred1 = forecaster.predict(X=X_test[:1], fh=[1, 2, 3])
      assert pred1.shape == (3,)
      pred2 = forecaster.predict(X=X_test[:2], fh=[1, 2, 3])
      assert pred2.shape == (3,)
      pred3 = forecaster.predict(X=X_test[:3], fh=[1, 2, 3])
      assert pred3.shape == (3,)
      pred4 = forecaster.predict(X=X_test, fh=[1])
      assert pred4.shape == (1,)
  
imports: import numpy
  import pandas
  import pytest
  from sklearn.base import BaseEstimator, RegressorMixin
  from sklearn.dummy import DummyRegressor
  from sklearn.linear_model import LinearRegression
  from sklearn.pipeline import make_pipeline
  from sktime.datasets import load_airline
  from sktime.forecasting.base import ForecastingHorizon
  from sktime.forecasting.compose import DirectTabularRegressionForecaster, DirectTimeSeriesRegressionForecaster, DirRecTabularRegressionForecaster, DirRecTimeSeriesRegressionForecaster, MultioutputTabularRegressionForecaster, MultioutputTimeSeriesRegressionForecaster, RecursiveTabularRegressionForecaster, RecursiveTimeSeriesRegressionForecaster, make_reduction
  from sktime.forecasting.compose._reduce import _sliding_window_transform
  from sktime.forecasting.tests._config import TEST_OOS_FHS, TEST_WINDOW_LENGTHS_INT
  from sktime.performance_metrics.forecasting import mean_absolute_percentage_error
  from sktime.regression.base import BaseRegressor
  from sktime.regression.interval_based import TimeSeriesForestRegressor
  from sktime.split import SlidingWindowSplitter, temporal_train_test_split
  from sktime.split.tests.test_split import _get_windows
  from sktime.transformations.panel.reduce import Tabularizer
  from sktime.utils._testing.forecasting import make_forecasting_problem
  from sktime.utils.validation.forecasting import check_fh
label_desc: Use image node_id 17 for calling a global function with example usage: test_recursive_reducer_X_not_fit_to_fh() without return types