code: def test_constraint_wrapper(self):
      lb = np.array([0, 20, 30])
      ub = np.array([0.5, np.inf, 70])
      x0 = np.array([1, 2, 3])
      pc = _ConstraintWrapper(Bounds(lb, ub), x0)
      assert (pc.violation(x0) > 0).any()
      assert (pc.violation([0.25, 21, 31]) == 0).all()
  
      x0 = np.array([1, 2, 3, 4])
      A = np.array([[1, 2, 3, 4], [5, 0, 0, 6], [7, 0, 8, 0]])
      pc = _ConstraintWrapper(LinearConstraint(A, -np.inf, 0), x0)
      assert (pc.violation(x0) > 0).any()
      assert (pc.violation([-10, 2, -10, 4]) == 0).all()
  
      pc = _ConstraintWrapper(
          LinearConstraint(csr_matrix(A), -np.inf, 0), x0
      )
      assert (pc.violation(x0) > 0).any()
      assert (pc.violation([-10, 2, -10, 4]) == 0).all()
  
      def fun(x):
          return A.dot(x)
  
      nonlinear = NonlinearConstraint(fun, -np.inf, 0)
      pc = _ConstraintWrapper(nonlinear, [-10, 2, -10, 4])
      assert (pc.violation(x0) > 0).any()
      assert (pc.violation([-10, 2, -10, 4]) == 0).all()
  
imports: import multiprocessing
  import platform
  from scipy.optimize._differentialevolution import DifferentialEvolutionSolver, _ConstraintWrapper
  from scipy.optimize import differential_evolution
  from scipy.optimize._constraints import Bounds, NonlinearConstraint, LinearConstraint
  from scipy.optimize import rosen
  from scipy.sparse import csr_matrix
  from scipy._lib._pep440 import Version
  import numpy
  from numpy.testing import assert_equal, assert_allclose, assert_almost_equal, assert_array_equal, assert_string_equal, assert_, suppress_warnings
  from pytest import raises, warns
  import pytest
label_desc: Use image node_id 45 for calling the TestDifferentialEvolutionSolver obj's underlying member method code with example usage: obj.test_constraint_wrapper() and returns: A