def test_external_solver(self):
model = quadratic_function.QuadraticFunction()
model.parameters['a'] = 2
model.parameters['x'] = 2
self.md.add_model(model)
self.md.save()
self.md.solve()
self.assertEqual(2 * 2**2, self.md.models[-1].variables['F'])
def test_defaults(self):
model = ModelBase()
model.defaults['b'] = 0
self.assertEqual(0, model.parameters['b'])
model = quadratic_function.QuadraticFunction()
model.parameters['x'] = 4
model.create()
model.solve()
model.process()
self.assertEqual(4**2, model.variables['F'])
def test_solve(self):
variants = [(1, 2), (2, 3), (3, 4)]
for a, x in variants:
model = quadratic_function.QuadraticFunction()
model.parameters['a'] = a
model.parameters['x'] = x
self.md.add_model(model)
self.md.solve()
for a, x in variants:
model = self.md.find_model_by_parameters({'a': a, 'x': x})
self.assertEqual(a * x**2, model.variables['F'])
def test_solve_models_by_mask(self):
for a, x in [(1, 2), (2, 3), (3, 4)]:
model = quadratic_function.QuadraticFunction()
model.parameters['a'] = a
model.parameters['x'] = x
self.md.add_model(model)
self.md.solve(mask='model_00000[0, 2]')
self.assertEqual(len(self.md.models), 3)
self.assertEqual(len(self.md.solved_models), 2)
for a, x in [(1, 2), (3, 4)]:
model = self.md.find_model_by_parameters({'a': a, 'x': x})
self.assertEqual(a * x**2, model.variables['F'])
def test_save_and_load(self):
file_name = '{0}/model.pickle'.format('{0}'.format(
pythonlab.tempname()))
model = quadratic_function.QuadraticFunction()
model.parameters['x'] = 7
model.create()
model.solve()
model.process()
model.save(file_name)
model.clear()
model.load(file_name)
self.assertEqual(7**2, model.variables['F'])
def setUp(self):
md = ModelDict()
variants = [1e-3, 1e-2, 1e2, 1e-4, 1e-1,
1e-5, 1e-8, 1e3, 1e6, 1e-8]
for x in variants:
model = quadratic_function.QuadraticFunction()
model.parameters['x'] = x
GeneticInfo.set_population_from(model, 0)
GeneticInfo.set_population_to(model, 0)
md.add_model(model)
md.solve(save=False)
self.functionals = Functionals(Functional('F', 'min'))
self.selector = SingleCriteriaSelector(self.functionals)
self.selector.recomended_population_size = len(variants)
self.population = md.models