old_contents: from pandas import Series
  from statsmodels.tsa.base.tsa_model import TimeSeriesModel
  import numpy.testing as npt
  
  def test_pandas_nodates_index():
      from statsmodels.datasets import sunspots
      y = sunspots.load_pandas().data.SUNACTIVITY
      npt.assert_raises(ValueError, TimeSeriesModel, y)
  
new_contents: import numpy as np
  from pandas import Series
  from pandas.util import testing as ptesting
  from statsmodels.tsa.base.tsa_model import TimeSeriesModel
  from statsmodels.tsa.base.datetools import dates_from_range
  import numpy.testing as npt
  
  try:
      from pandas import DatetimeIndex
      _pandas_08x = True
  except ImportError, err:
      _pandas_08x = False
  
  def test_pandas_nodates_index():
      from statsmodels.datasets import sunspots
      y = sunspots.load_pandas().data.SUNACTIVITY
      npt.assert_raises(ValueError, TimeSeriesModel, y)
  
  def test_predict_freq():
      # test that predicted dates have same frequency
      x = np.arange(1,36.)
  
      if _pandas_08x:
          from pandas import date_range
  
          # 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 = date_range("1972-4-30", "2006-4-30", freq="A-APR")
          series = Series(x, index=dates)
          model = TimeSeriesModel(series)
          #npt.assert_(model.data.freq == "AS-APR")
          npt.assert_(model.data.freq == "A-APR")
  
          start = model._get_predict_start("2006-4-30")
          end = model._get_predict_end("2016-4-30")
          model._make_predict_dates()
  
          predict_dates = model.data.predict_dates
  
          #expected_dates = date_range("2006-12-31", "2016-12-31",
          #                            freq="AS-APR")
          expected_dates = date_range("2006-4-30", "2016-4-30", freq="A-APR")
          npt.assert_equal(predict_dates, expected_dates)
          #ptesting.assert_series_equal(predict_dates, expected_dates)
  
      else:
          from pandas import DateRange, datetools
          dates = DateRange("1972-1-1", "2007-1-1", offset=datetools.yearEnd)
          series = Series(x, index=dates)
          model = TimeSeriesModel(series)
          npt.assert_(model.data.freq == "A")
  
          start = model._get_predict_start("2006-12-31")
          end = model._get_predict_end("2016-12-31")
          model._make_predict_dates()
  
          predict_dates = model.data.predict_dates
  
          expected_dates = DateRange("2006-12-31", "2016-12-31",
                                      offset=datetools.yearEnd)
          npt.assert_array_equal(predict_dates, expected_dates)
  
  
  
  
  
  
  
subject: Test freq of predicted dates