code: def test__unscale_parameters(self):
      trial = np.array([30])
      assert_equal(0.3, self.dummy_solver._unscale_parameters(trial))
  
      # it should also work with the limits reversed
      self.dummy_solver.limits = np.array([[100], [0.0]])
      assert_equal(0.3, self.dummy_solver._unscale_parameters(trial))
  
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 12 for calling the TestDifferentialEvolutionSolver obj's underlying member method code with example usage: obj.test__unscale_parameters() without return types