code: def test_predict_7_steps_with_offset_Day_5_n_offsets_2_using_last_window():
      """
      Test predict method with offset pd.offsets.Day(5) and n_offsets=2,
      using last_window.
      """
      y_monthly = y.copy()
      y_monthly.index = pd.date_range(
          start="1990-01-01", periods=50, freq="MS"
      )
      last_window = pd.Series(
          data=np.array(
              [
                  0.73799541,
                  0.18249173,
                  0.17545176,
                  0.53155137,
                  0.53182759,
                  0.25045537,
                  0.48303426,
                  0.98555979,
                  0.51948512,
                  0.61289453,
              ]
          ),
          index=pd.date_range(
              start="2000-08-05", periods=10, freq="MS"
          ),
          name="y",
      )
  
      forecaster = ForecasterEquivalentDate(
          offset=pd.DateOffset(months=2), n_offsets=2, agg_func=np.mean
      )
      forecaster.fit(y=y_monthly)
      predictions = forecaster.predict(steps=7, last_window=last_window)
  
      expected = pd.Series(
          data=np.array(
              [
                  0.50125969,
                  0.79922716,
                  0.50125969,
                  0.79922716,
                  0.50125969,
                  0.79922716,
                  0.50125969,
              ]
          ),
          index=pd.date_range(start="2001-07-01", periods=7, freq="MS"),
          name="pred",
      )
  
      pd.testing.assert_series_equal(predictions, expected)
  
file_path: skforecast/skforecast/ForecasterBaseline/tests/test_predict.py
imports: import re
  import pytest
  import numpy
  import pandas
  from sklearn.exceptions import NotFittedError
  from skforecast.ForecasterBaseline import ForecasterEquivalentDate
  from .fixtures_ForecasterEquivalentDate import y
label_desc: Use image node_id 10 for calling a global function with example usage: test_predict_7_steps_with_offset_Day_5_n_offsets_2_using_last_window() without return types