code: def test_predict_7_steps_with_int_offset_5_n_offsets_1_using_last_window():
      """
      Test predict method with int offset, offset=1 and n_offsets=1, using last_window.
      """
      last_window = pd.Series(
          data=np.array(
              [
                  0.73799541,
                  0.18249173,
                  0.17545176,
                  0.53155137,
                  0.53182759,
              ]
          ),
          index=pd.date_range(start="2000-08-10", periods=5, freq="D"),
          name="y",
      )
  
      forecaster = ForecasterEquivalentDate(offset=5, n_offsets=1)
      forecaster.fit(y=y)
      predictions = forecaster.predict(steps=7, last_window=last_window)
  
      expected = pd.Series(
          data=np.array(
              [
                  0.73799541,
                  0.18249173,
                  0.17545176,
                  0.53155137,
                  0.53182759,
                  0.73799541,
                  0.18249173,
              ]
          ),
          index=pd.date_range(start="2000-08-15", periods=7, freq="D"),
          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 5 for calling a global function with example usage: test_predict_7_steps_with_int_offset_5_n_offsets_1_using_last_window() without return types