code: def test_predict_freq():
      # test that predicted dates have same frequency
      x = np.arange(1, 36.0)
  
      # there's a bug in pandas up to 0.10.2 for YearBegin
      # dates = date_range("1972-4-1", "2007-4-1", freq="AS-APR")
  
      dates = pd.date_range("1972-4-30", "2006-4-30", freq=YE_APR)
      series = pd.Series(x, index=dates)
      model = TimeSeriesModel(series)
      # npt.assert_(model.data.freq == "AS-APR")
      # two possabilities due to future changes in pandas 2.2+
      assert model._index.freqstr in ("Y-APR", "A-APR", "YE-APR")
  
      start, end, out_of_sample, _ = model._get_prediction_index(
          "2006-4-30", "2016-4-30"
      )
  
      predict_dates = model.data.predict_dates
  
      # expected_dates = date_range("2006-12-31", "2016-12-31",
      #                            freq="AS-APR")
      expected_dates = pd.date_range(
          "2006-4-30", "2016-4-30", freq=YE_APR
      )
      assert_equal(predict_dates, expected_dates)
  
file_path: statsmodels/statsmodels/tsa/base/tests/test_base.py
imports: from statsmodels.compat.pandas import PD_LT_2_2_0
  from datetime import datetime
  import numpy
  import numpy.testing
  import pandas
  import pytest
  from statsmodels.tools.sm_exceptions import ValueWarning
  from statsmodels.tools.testing import assert_equal
  from statsmodels.tsa.base.tsa_model import TimeSeriesModel
label_desc: Use image node_id 2 for calling a global function with example usage: test_predict_freq() without return types