code: def test_fit_ValueError_length_y_less_than_window_size_offset_DateOffset(
      offset, y
  ):
      """
      Test ValueError is raised when length of y is less than window_size
      when offset is a pandas DateOffset.
      """
      forecaster = ForecasterEquivalentDate(
          offset=DateOffset(**offset),
          n_offsets=2,
          agg_func=np.mean,
          forecaster_id=None,
      )
  
      err_msg = re.escape(
          (
              f"The length of `y` (10), must be greater than or equal "
              f"to the window size ({forecaster.window_size}). This is because  "
              f"the offset ({forecaster.offset}) is larger than the available "
              f"data. Try to decrease the size of the offset ({forecaster.offset}), "
              f"the number of n_offsets (2) or increase the "
              f"size of `y`."
          )
      )
      with pytest.raises(ValueError, match=err_msg):
          forecaster.fit(y=y)
  
file_path: skforecast/skforecast/ForecasterBaseline/tests/test_fit.py
imports: import re
  import pytest
  import numpy
  import pandas
  from pandas.tseries.offsets import DateOffset
  from skforecast.ForecasterBaseline import ForecasterEquivalentDate
label_desc: Use image node_id 3 for calling a global function with example usage: test_fit_ValueError_length_y_less_than_window_size_offset_DateOffset(offset, y) without return types