code: def test_reset_stata():
      data = statecrime.load_pandas().data
      mod = OLS(data.violent, add_constant(data[["murder", "hs_grad"]]))
      res = mod.fit()
      stat = reset_ramsey(res, degree=4)
      assert_almost_equal(stat.fvalue, 1.52, decimal=2)
      assert_almost_equal(stat.pvalue, 0.2221, decimal=4)
  
      exog_idx = list(data.columns).index("urban")
      data_arr = np.asarray(data)
      vif = variance_inflation_factor(data_arr, exog_idx)
      assert_almost_equal(vif, 16.4394, decimal=4)
  
      exog_idx = list(data.columns).index("urban")
      vif_df = variance_inflation_factor(data, exog_idx)
      assert_almost_equal(vif_df, 16.4394, decimal=4)
  
imports: import numpy
  from numpy.testing import assert_almost_equal
  from statsmodels.datasets import statecrime
  from statsmodels.regression.linear_model import OLS
  from statsmodels.stats.outliers_influence import reset_ramsey, variance_inflation_factor
  from statsmodels.tools import add_constant
label_desc: Use image node_id 1 for calling a global function with example usage: test_reset_stata() without return types