def test_load_buffer_2(self) -> None:
pb = ps.SchedulingProblem("LoadBuffer2")
task_1 = ps.FixedDurationTask("task1", duration=3)
task_2 = ps.FixedDurationTask("task2", duration=3)
task_3 = ps.FixedDurationTask("task3", duration=3)
buffer = ps.NonConcurrentBuffer("Buffer1", initial_state=10)
pb.add_constraint(ps.TaskStartAt(task_1, 5))
pb.add_constraint(ps.TaskStartAt(task_2, 10))
pb.add_constraint(ps.TaskStartAt(task_3, 15))
c1 = ps.TaskLoadBuffer(task_1, buffer, quantity=3)
pb.add_constraint(c1)
c2 = ps.TaskLoadBuffer(task_2, buffer, quantity=2)
pb.add_constraint(c2)
c3 = ps.TaskLoadBuffer(task_3, buffer, quantity=1)
pb.add_constraint(c3)
solver = ps.SchedulingSolver(pb)
solution = solver.solve()
self.assertTrue(solution)
self.assertEqual(solution.buffers[buffer.name].state, [10, 13, 15, 16])
self.assertEqual(solution.buffers[buffer.name].state_change_times,
[8, 13, 18])
def test_buffer_bounds_1(self) -> None:
# n tasks take 1, n tasks feed one. Bounds 0 to 1
pb = ps.SchedulingProblem("BufferBounds1")
n = 3
unloading_tasks = [
ps.FixedDurationTask("LoadTask_%i" % i, duration=3)
for i in range(n)
]
loading_tasks = [
ps.FixedDurationTask("UnloadTask_%i" % i, duration=3)
for i in range(n)
]
# create buffer
buffer = ps.NonConcurrentBuffer("Buffer1",
lower_bound=0,
upper_bound=1)
for t in unloading_tasks:
ps.TaskUnloadBuffer(t, buffer, quantity=1)
for t in loading_tasks:
ps.TaskLoadBuffer(t, buffer, quantity=1)
pb.add_objective_makespan()
solver = ps.SchedulingSolver(
pb, max_time=300,
parallel=True) # , debug=True)#, logics="QF_UFIDL")
solution = solver.solve()
self.assertTrue(solution)
self.assertEqual(solution.horizon, 9)
def test_load_unload_feed_buffers_1(self) -> None:
# one task that consumes and feed two different buffers
pb = ps.SchedulingProblem("LoadUnloadBuffer1")
task_1 = ps.FixedDurationTask("task1", duration=3)
buffer_1 = ps.NonConcurrentBuffer("Buffer1", initial_state=10)
buffer_2 = ps.NonConcurrentBuffer("Buffer2", initial_state=0)
pb.add_constraint(ps.TaskStartAt(task_1, 5))
c1 = ps.TaskUnloadBuffer(task_1, buffer_1, quantity=3)
pb.add_constraint(c1)
c2 = ps.TaskLoadBuffer(task_1, buffer_2, quantity=2)
pb.add_constraint(c2)
solver = ps.SchedulingSolver(pb)
solution = solver.solve()
self.assertTrue(solution)
self.assertEqual(solution.buffers[buffer_1.name].state, [10, 7])
self.assertEqual(solution.buffers[buffer_1.name].state_change_times,
[5])
self.assertEqual(solution.buffers[buffer_2.name].state, [0, 2])
self.assertEqual(solution.buffers[buffer_2.name].state_change_times,
[8])
# plot buffers
solution.render_gantt_matplotlib(show_plot=False)
def test_load_buffer_1(self) -> None:
# only one buffer and one task
pb = ps.SchedulingProblem("LoadBuffer1")
task_1 = ps.FixedDurationTask("task1", duration=3)
buffer = ps.NonConcurrentBuffer("Buffer1", initial_state=10)
ps.TaskStartAt(task_1, 5)
ps.TaskLoadBuffer(task_1, buffer, quantity=3)
solver = ps.SchedulingSolver(pb)
solution = solver.solve()
self.assertTrue(solution)
self.assertEqual(solution.buffers[buffer.name].state, [10, 13])
self.assertEqual(solution.buffers[buffer.name].state_change_times, [8])
def test_json_export_1(self):
pb = ps.SchedulingProblem("JSONExport1", horizon=10)
# tasks
task_1 = ps.FixedDurationTask("task1", duration=3)
task_2 = ps.VariableDurationTask("task2")
task_3 = ps.ZeroDurationTask("task3")
# buffers
buffer_1 = ps.NonConcurrentBuffer("Buffer1", initial_state=10)
buffer_2 = ps.NonConcurrentBuffer("Buffer2", initial_state=0)
# resources
worker_1 = ps.Worker("Worker1")
worker_2 = ps.Worker("Worker2")
worker_3 = ps.Worker("Worker3")
sw_1 = ps.SelectWorkers([worker_1, worker_2, worker_3])
sw_2 = ps.SelectWorkers([worker_1, worker_2, worker_3])
sw_3 = ps.SelectWorkers([worker_1, worker_2, worker_3])
ps.CumulativeWorker("CumulMachine1", size=3)
ps.CumulativeWorker("CumulMachine2", size=7)
# assign resources to tasks
task_1.add_required_resources([worker_1, worker_2])
task_2.add_required_resource(sw_1)
task_3.add_required_resource(sw_2)
# task constraints
ps.TaskPrecedence(task_1, task_2)
ps.TaskStartAt(task_1, 5)
ps.TaskUnloadBuffer(task_1, buffer_1, quantity=3)
ps.TaskLoadBuffer(task_1, buffer_2, quantity=2)
# resource constraints
ps.SameWorkers(sw_1, sw_2)
ps.DistinctWorkers(sw_2, sw_3)
ps.WorkLoad(worker_1, {(0, 6): 3, (19, 24): 4}, kind="exact")
ps.ResourceUnavailable(worker_1, [(1, 3), (6, 8)])
ps.ResourceTasksDistance(worker_1,
distance=4,
mode="exact",
list_of_time_intervals=[[10, 18]])
# export to json
solver = ps.SchedulingSolver(pb)
ps.export_json_to_file(pb, solver, "test_export_1.json")