code: def test_fit_last_window_stored():
      """
      Test that values of last window are stored after fitting.
      """
      series = pd.DataFrame(
          {
              "l1": pd.Series(np.arange(10)),
              "l2": pd.Series(np.arange(50, 60)),
          }
      )
  
      forecaster = ForecasterAutoregMultiVariate(
          LinearRegression(), level="l1", lags=3, steps=2
      )
      forecaster.fit(series=series)
      expected = pd.DataFrame(
          {
              "l1": pd.Series(np.array([7, 8, 9])),
              "l2": pd.Series(np.array([57, 58, 59])),
          }
      )
      expected.index = pd.RangeIndex(start=7, stop=10, step=1)
  
      pd.testing.assert_frame_equal(forecaster.last_window, expected)
  
file_path: skforecast/skforecast/ForecasterAutoregMultiVariate/tests/test_fit.py
imports: import re
  import pytest
  import numpy
  import pandas
  from skforecast.ForecasterAutoregMultiVariate import ForecasterAutoregMultiVariate
  from sklearn.linear_model import LinearRegression
  from sklearn.preprocessing import StandardScaler
label_desc: Use image node_id 8 for calling a global function with example usage: test_fit_last_window_stored() without return types