def test_basic_groups2(self):
inputs = UserInputs('input.txt', 160, 31, 10, list(), [3])
solver = AssignmentSolver(inputs)
solver.initialize()
list1, list2, list3 = list(), list(), list()
for user in inputs.users:
if user.user_id == 'djcran' or user.user_id == 'chen464':
list1.append(user)
elif user.user_id == 'kapadia' or user.user_id == 'zehzhang' or user.user_id == 'fan6':
list2.append(user)
elif user.user_id == 'steflee':
list3.append(user)
solver.state = AssignmentState(
inputs, [Group(list()),
Group(list1),
Group(list2),
Group(list3)])
self.assertEqual(len(solver.state.groups), 4)
self.assertEqual(len(inputs.users), 6)
self.assertEqual(
sorted([g.evaluate(inputs) for g in solver.state.groups]),
[0, 0, 12, 42])
self.assertEqual(solver.state.evaluate(), 534)
def simulated_annealing_test_once(self):
inputs = UserInputs(input_file, 160, 31, 10, list(), [3])
problem = AssignmentSolver(inputs)
problem.initialize()
algorithm = SimulatedAnnealing(problem)
res = algorithm.search().evaluate()
print(res)
return res
def test_random_restart_hill_climbing_hybrid():
inputs = UserInputs(input_file, 160, 31, 10, list(), [3])
problem = AssignmentSolver(inputs)
problem.initialize()
algorithm = RandomRestartHillClimbingHybrid(problem,
options={'nprocs': nprocs})
res = algorithm.search().evaluate()
return res
def test_random_restart_hill_climbing(self):
print('HC ------ :')
inputs = UserInputs(input_file, 160, 31, 10, list(), [3])
problem = AssignmentSolver(inputs)
problem.initialize()
algorithm = RandomRestartHillClimbing(problem,
options={'nprocs': nprocs})
res = algorithm.search().evaluate()
print(res)
def test_basic_groups1(self):
inputs = UserInputs('input.txt', 160, 31, 10, list(), [1])
solver = AssignmentSolver(inputs)
solver.initialize()
self.assertEqual(len(solver.state.groups), len(inputs.users) + 1)
self.assertEqual(len(inputs.users), 6)
self.assertEqual(
sorted([g.evaluate(inputs) for g in solver.state.groups]),
[0, 0, 0, 0, 10, 21, 21])
self.assertEqual(solver.state.evaluate(), 1012)
def test_hill_climbing_with_random_walk(self):
min_res = math.inf
print('test_hill_climbing_with_random_walk ------ :')
for i in range(10):
inputs = UserInputs(input_file, 160, 31, 10, list(), [3])
problem = AssignmentSolver(inputs)
problem.initialize()
algorithm = HillClimbingWithRandomWalk(problem)
res = algorithm.search().evaluate()
print(res)
min_res = res if res < min_res else min_res
def test_first_choice_hill_climbing(self):
min_res = math.inf
print('first_choice_hill_climbing ------ :')
for i in range(10):
inputs = UserInputs(input_file, 160, 31, 10, list(), [3])
problem = AssignmentSolver(inputs)
problem.initialize()
algorithm = FirstChoiceHillClimbing(problem)
res = algorithm.search().evaluate()
min_res = res if res < min_res else min_res
print(res)
def test_state_generation2(self):
inputs = UserInputs('input_small.txt', 160, 31, 10, list(), [1])
solver = AssignmentSolver(inputs)
solver.initialize()
inputs = UserInputs('input_small.txt', 160, 31, 10, inputs.users, [3])
solver.inputs = inputs
solver.state.inputs = inputs
next_state = solver.state.get_next_random_state()
count = 0
while next_state:
count += 1
next_state = solver.state.get_next_random_state()
self.assertEqual(count, 2)
def test_assign_user_to_group(self):
inputs = UserInputs('input.txt', 160, 31, 10, list(), [3])
solver = AssignmentSolver(inputs)
solver.initialize()
solver.state = AssignmentState(inputs)
solver.state = solver.state.assign_user_to_group(
self.get_user('djcran', inputs.users), solver.state.groups[0])
self.assertEqual(solver.state.groups[1].evaluate(inputs), 21)
self.assertEqual(solver.state.evaluate(), 181)
solver.state = solver.state.assign_user_to_group(
self.get_user('chen464', inputs.users), solver.state.groups[1])
self.assertEqual(solver.state.evaluate(), 172)
solver.state = solver.state.assign_user_to_group(
self.get_user('kapadia', inputs.users), solver.state.groups[0])
self.assertEqual(solver.state.evaluate(), 353)
solver.state = solver.state.assign_user_to_group(
self.get_user('zehzhang', inputs.users), solver.state.groups[1])
self.assertEqual(solver.state.evaluate(), 375)
def test_hill_climbing1(self):
inputs = UserInputs(input_file, 160, 31, 10, list(), [1])
problem = AssignmentSolver(inputs)
problem.initialize()
algorithm = HillClimbing(problem)