code: def test_gradient_gnev(self):
      minimizer_opts = {
          "jac": self.rosen_der_wrapper,
      }
      ret = dual_annealing(
          rosen, self.ld_bounds, local_search_options=minimizer_opts
      )
      assert ret.njev == self.ngev
  
imports: from scipy.optimize import dual_annealing
  from scipy.optimize._dual_annealing import VisitingDistribution
  from scipy.optimize._dual_annealing import ObjectiveFunWrapper
  from scipy.optimize._dual_annealing import EnergyState
  from scipy.optimize._dual_annealing import LocalSearchWrapper
  from scipy.optimize import rosen, rosen_der
  import numpy
  from numpy.testing import assert_equal, TestCase, assert_allclose, assert_array_less
  from pytest import raises
  from scipy._lib._util import check_random_state
label_desc: Use image node_id 33 for calling the TestDualAnnealing obj's underlying member method code with example usage: obj.test_gradient_gnev() without return types