code: def test_visiting_stepping(self, qv):
      lu = list(zip(*self.ld_bounds))
      lower = np.array(lu[0])
      upper = np.array(lu[1])
      dim = lower.size
      vd = VisitingDistribution(lower, upper, qv, self.rs)
      values = np.zeros(dim)
      x_step_low = vd.visiting(values, 0, self.high_temperature)
      # Make sure that only the first component is changed
      assert_equal(np.not_equal(x_step_low, 0), True)
      values = np.zeros(dim)
      x_step_high = vd.visiting(values, dim, self.high_temperature)
      # Make sure that component other than at dim has changed
      assert_equal(np.not_equal(x_step_high[0], 0), True)
  
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 5 for calling the TestDualAnnealing obj's underlying member method code with example usage: obj.test_visiting_stepping(qv) without return types