def test_executionTimeStats():
longTask = Task(20, 50, FixedArrivalDistribution(50), displayName='long')
shortTask = Task(1, 5, FixedArrivalDistribution(5), displayName='short')
taskset = Taskset(longTask, shortTask)
setup = SimulationSetup(taskset, time=29)
run = SimulationRun(setup)
result = run.result()
stats = SimulationStatistics(result)
execTime = stats.totalExecutionTime()
assert execTime == 26
def test_executionTimeAggregator():
longTask = Task(20, 50, FixedArrivalDistribution(50), displayName='long')
shortTask = Task(1, 5, FixedArrivalDistribution(5), displayName='short')
taskset = Taskset(longTask, shortTask)
setup = SimulationSetup(taskset,
time=29,
aggregatorTags=[AggregatorTag.ExecutionTime])
run = SimulationRun(setup)
result = run.result()
aggregateExecTime = result.aggregateStat(AggregatorTag.ExecutionTime)
assert aggregateExecTime == 26
def test_dualPriorityBW1_2():
t1 = Task(3, 6)
t2 = Task(2, 8)
t3 = Task(3, 12)
policy = DualPrioritySchedulingPolicy((t1, DualPriorityTaskInfo(1)),
(t2, DualPriorityTaskInfo(3)),
(t3, DualPriorityTaskInfo(4, 10, 2)))
taskset = Taskset(t1, t2, t3)
hyperperiod = 24
setup = SimulationSetup(taskset,
time=hyperperiod,
schedulingPolicy=policy)
run = SimulationRun(setup)
result = run.result()
assert not result.history.hasDeadlineMiss()
def test_simulationResult():
t1 = Task(1, 2, FixedArrivalDistribution(3), LogPreemptionCost(1, 0.1),
displayName='t1')
t2 = Task(4, 5, PoissonArrivalDistribution(6, 2), FixedPreemptionCost(3),
displayName='t2')
taskset = Taskset(t1, t2)
setup = SimulationSetup(taskset, time=200)
run = SimulationRun(setup)
result = run.result()
with TemporaryDirectory() as testdir:
dataEnv = FileEnv(testdir)
key = 'test'
dataEnv.save(result, key)
copy = dataEnv.load(key)
assert(copy == result)
def test_freePreemptionsTotals():
longTask = Task(20, 50, FixedArrivalDistribution(50), displayName='long')
shortTask = Task(1, 5, FixedArrivalDistribution(5), displayName='short')
taskset = Taskset(longTask, shortTask)
setup = SimulationSetup(taskset, time=50, trackPreemptions=True)
run = SimulationRun(setup)
result = run.result()
stats = SimulationStatistics(result)
nbPreemptions = stats.nbOfPreemptions
expectedNbPreemptions = 4
preemptionCost = stats.totalPreemptionTime
expectedPreemptionCost = 0
assert nbPreemptions == expectedNbPreemptions
assert preemptionCost == expectedPreemptionCost
def test_dualPriorityBW1_1():
t1 = Task(3, 6)
t2 = Task(2, 8)
t3 = Task(3, 12)
policy = DualPrioritySchedulingPolicy((t1, DualPriorityTaskInfo(2)),
(t2, DualPriorityTaskInfo(3)),
(t3, DualPriorityTaskInfo(4)))
taskset = Taskset(t1, t2, t3)
hyperperiod = 24
setup = SimulationSetup(taskset,
time=hyperperiod,
schedulingPolicy=policy)
run = SimulationRun(setup)
result = run.result()
expectedMisses = {DeadlineMiss(t3, 0)}
assert result.history.deadlineMisses(hyperperiod) == expectedMisses
def test_preemptionNbAggregator():
longTask = Task(20,
50,
FixedArrivalDistribution(50),
FixedPreemptionCost(2),
displayName='long')
shortTask = Task(1,
5,
FixedArrivalDistribution(5),
FixedPreemptionCost(2),
displayName='short')
taskset = Taskset(longTask, shortTask)
setup = SimulationSetup(taskset,
time=29,
aggregatorTags=[AggregatorTag.PreemptionCount])
run = SimulationRun(setup)
result = run.result()
aggregateNbPreempt = result.aggregateStat(AggregatorTag.PreemptionCount)
assert aggregateNbPreempt == 5
def test_simulationWithExecTimeStats():
for setup in genSetups(50, ()):
run = SimulationRun(setup)
result = run.result()
stats = SimulationStatistics(result)
stats.totalExecutionTime()
