code: def test_infinite_objective_function(self):
      # Test that there are no problems if the objective function
      # returns inf on some runs
      def sometimes_inf(x):
          if x[0] < 0.5:
              return np.inf
          return x[1]
  
      bounds = [(0, 1), (0, 1)]
      x_fit = differential_evolution(
          sometimes_inf, bounds=[(0, 1), (0, 1)], disp=False
      )
  
imports: import multiprocessing
  from scipy.optimize import _differentialevolution
  from scipy.optimize._differentialevolution import DifferentialEvolutionSolver
  from scipy.optimize import differential_evolution
  import numpy
  from scipy.optimize import rosen
  from numpy.testing import assert_equal, assert_allclose, assert_almost_equal, assert_string_equal, assert_
  from pytest import raises, warns
label_desc: Use image node_id 33 for calling the TestDifferentialEvolutionSolver obj's underlying member method code with example usage: obj.test_infinite_objective_function() and returns: x, np