code: def test_sliding_window_transform_against_cv(
      n_timepoints, window_length, fh, scitype
  ):
      """Test sliding window transform against cv."""
      fh = check_fh(fh)
      y = pd.Series(_make_y(0, n_timepoints))
      cv = SlidingWindowSplitter(fh=fh, window_length=window_length)
      xa, ya = _get_windows(cv, y)
      yb, xb = _sliding_window_transform(
          y, window_length, fh, scitype=scitype
      )
      np.testing.assert_array_equal(ya, yb)
      if scitype == "time-series-regressor":
          xb = xb.squeeze(axis=1)
  
      np.testing.assert_array_equal(xa, xb)
  
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 1 for calling a global function with example usage: test_sliding_window_transform_against_cv(n_timepoints, window_length, fh, scitype) without return types