def testInit(self):
config1 = OptimizationConfig(
objective=self.objective,
outcome_constraints=self.outcome_constraints)
self.assertEqual(str(config1), CONFIG_STR)
with self.assertRaises(ValueError):
config1.objective = self.m2_objective
# updating constraints is fine.
config1.outcome_constraints = [self.outcome_constraint]
self.assertEqual(len(config1.metrics), 2)
# objective without outcome_constraints is also supported
config2 = OptimizationConfig(objective=self.objective)
self.assertEqual(config2.outcome_constraints, [])
# setting objective is fine too, if it's compatible with constraints..
config2.objective = self.m2_objective
# setting incompatible constraints is not fine.
with self.assertRaises(ValueError):
config2.outcome_constraints = self.outcome_constraints
def testInit(self):
config1 = OptimizationConfig(
objective=self.objective,
outcome_constraints=self.outcome_constraints)
self.assertEqual(str(config1), OC_STR)
with self.assertRaises(ValueError):
config1.objective = self.alt_objective # constrained Objective.
# updating constraints is fine.
config1.outcome_constraints = [self.outcome_constraint]
self.assertEqual(len(config1.metrics), 2)
# objective without outcome_constraints is also supported
config2 = OptimizationConfig(objective=self.objective)
self.assertEqual(config2.outcome_constraints, [])
# setting objective is fine too, if it's compatible with constraints..
config2.objective = self.m2_objective
# setting constraints on objectives is fine for MultiObjective components.
config2.outcome_constraints = self.outcome_constraints
self.assertEqual(config2.outcome_constraints, self.outcome_constraints)
