code: def test_formula_predict():
      # `log` is needed in the namespace for patsy to find
      from numpy import log  # noqa:F401
  
      formula = """TOTEMP ~ log(GNPDEFL) + log(GNP) + UNEMP + ARMED +
                      POP + YEAR"""
      data = load_pandas()
      dta = load_pandas().data
      results = ols(formula, dta).fit()
      npt.assert_almost_equal(
          results.fittedvalues.values, results.predict(data.exog), 8
      )
  
imports: from statsmodels.compat.pandas import assert_series_equal
  from io import StringIO
  import warnings
  import numpy
  import numpy.testing
  import pandas
  import patsy
  import pytest
  from statsmodels.datasets import cpunish
  from statsmodels.datasets.longley import load, load_pandas
  from statsmodels.formula.api import ols
  from statsmodels.formula.formulatools import make_hypotheses_matrices
  from statsmodels.tools import add_constant
  from statsmodels.tools.testing import assert_equal
label_desc: Use image node_id 3 for calling a global function with example usage: test_formula_predict() without return types