code: def test_callable_jac_with_args_gh11052(self):
      # dual_annealing used to fail when `jac` was callable and `args` were
      # used; check that this is resolved. Example is from gh-11052.
      rng = np.random.default_rng(94253637693657847462)
  
      def f(x, power):
          return np.sum(np.exp(x**power))
  
      def jac(x, power):
          return np.exp(x**power) * power * x ** (power - 1)
  
      res1 = dual_annealing(
          f,
          args=(2,),
          bounds=[[0, 1], [0, 1]],
          seed=rng,
          minimizer_kwargs=dict(method="L-BFGS-B"),
      )
      res2 = dual_annealing(
          f,
          args=(2,),
          bounds=[[0, 1], [0, 1]],
          seed=rng,
          minimizer_kwargs=dict(method="L-BFGS-B", jac=jac),
      )
      assert_allclose(res1.fun, res2.fun, rtol=1e-6)
  
imports: from scipy.optimize import dual_annealing, Bounds
  from scipy.optimize._dual_annealing import EnergyState
  from scipy.optimize._dual_annealing import LocalSearchWrapper
  from scipy.optimize._dual_annealing import ObjectiveFunWrapper
  from scipy.optimize._dual_annealing import StrategyChain
  from scipy.optimize._dual_annealing import VisitingDistribution
  from scipy.optimize import rosen, rosen_der
  import pytest
  import numpy
  from numpy.testing import assert_equal, 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_callable_jac_with_args_gh11052() and returns: np, unknown