code: def test_auto_trends_eviews(trivariate_data, config):
      y, x = trivariate_data
      trend = config[0]
      leads, lags = config[1]
      expected = np.array(config[2])
      params = expected[:, 0]
      se = expected[:, 1]
      final_resid = config[3]
      r2 = config[4]
      res = DynamicOLS(y, x, trend=trend).fit(
          bandwidth=1, df_adjust=True
      )
      assert res.leads == leads
      assert res.lags == lags
      # Trends not checked since trends intrepreted differently
      assert_allclose(res.params.iloc[:2], params[:2], rtol=1e-4)
      assert_allclose(res.std_errors[:2], se[:2], rtol=1e-4)
      # Check resid to verify equivalent
      assert_allclose(res.resid.iloc[-1], final_resid, rtol=1e-4)
      assert_allclose(res.rsquared, r2, rtol=1e-5)
  
file_path: arch/arch/tests/unitroot/test_dynamic_ols.py
imports: import numpy
  from numpy.testing import assert_allclose
  import pandas
  import pytest
  from arch.unitroot.cointegration import DynamicOLS
label_desc: Use image node_id 9 for calling a global function with example usage: test_auto_trends_eviews(trivariate_data, config) without return types