code: def test_last_window(Forecaster):
      """Test window forecaster common API points."""
      f = Forecaster.create_test_instance()
      n_columns = 1
  
      f = Forecaster.create_test_instance()
      y_train = _make_series(n_columns=n_columns)
      # passing the same fh to both fit and predict works
      f.fit(y_train, fh=FH0)
  
      actual, _ = f._get_last_window()
      expected = y_train.iloc[-f.window_length_ :]
  
      np.testing.assert_array_equal(actual, expected)
      assert len(actual) == f.window_length_
  
file_path: sktime/sktime/forecasting/tests/test_window_forecasters.py
imports: import numpy
  import pandas
  import pytest
  from sktime.forecasting.base._sktime import _BaseWindowForecaster
  from sktime.forecasting.naive import NaiveForecaster
  from sktime.registry import all_estimators
  from sktime.split import temporal_train_test_split
  from sktime.utils._testing.forecasting import make_forecasting_problem
  from sktime.utils._testing.series import _make_series
label_desc: Use image node_id 1 for calling a global function with example usage: test_last_window(Forecaster) without return types