code: def test_callback_terminates(self):
      # test that if the callback returns true, then the minimization halts
      bounds = [(0, 2), (0, 2)]
      expected_msg = (
          "callback function requested stop early by returning True"
      )
  
      def callback_python_true(param, convergence=0.0):
          return True
  
      result = differential_evolution(
          rosen, bounds, callback=callback_python_true
      )
      assert_string_equal(result.message, expected_msg)
  
      def callback_evaluates_true(param, convergence=0.0):
          # DE should stop if bool(self.callback) is True
          return [10]
  
      result = differential_evolution(
          rosen, bounds, callback=callback_evaluates_true
      )
      assert_string_equal(result.message, expected_msg)
  
      def callback_evaluates_false(param, convergence=0.0):
          return []
  
      result = differential_evolution(
          rosen, bounds, callback=callback_evaluates_false
      )
      assert result.success
  
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 16 for calling the TestDifferentialEvolutionSolver obj's underlying member method code with example usage: obj.test_callback_terminates() and returns: True, list, list