code: def test_alt_index(indexed_data):
      idx = indexed_data.index
      date_like = (
          not hasattr(idx, "freq") or getattr(idx, "freq", None) is None
      )
      period = 12 if date_like else None
      res = ThetaModel(indexed_data, period=period).fit()
      if hasattr(idx, "freq") and idx.freq is None:
          with pytest.warns(UserWarning):
              res.forecast_components(37)
          with pytest.warns(UserWarning):
              res.forecast(23)
      else:
          res.forecast_components(37)
          res.forecast(23)
  
file_path: statsmodels/statsmodels/tsa/forecasting/tests/test_theta.py
imports: from itertools import product
  import numpy
  import pandas
  import pytest
  from statsmodels.tsa.forecasting.theta import ThetaModel
label_desc: Use image node_id 4 for calling a global function with example usage: test_alt_index(indexed_data) without return types