def gen_taskset(periods, period_distribution, tasks_n, utilization,
period_granularity=None, scale=ms2us, want_integral=True):
if periods in NAMED_PERIODS:
# Look up by name.
(period_min, period_max) = NAMED_PERIODS[periods]
else:
# If unknown, then assume caller specified range manually.
(period_min, period_max) = periods
x = StaffordRandFixedSum(tasks_n, utilization, 1)
if period_granularity is None:
period_granularity = period_min
periods = gen_periods(tasks_n, 1, period_min, period_max, period_granularity, period_distribution)
ts = TaskSystem()
periods = numpy.maximum(periods[0], max(period_min, period_granularity))
C = scale(x[0] * periods)
taskset = numpy.c_[x[0], C / periods, periods, C]
for t in range(numpy.size(taskset,0)):
ts.append(SporadicTask(taskset[t][3], scale(taskset[t][2])))
if want_integral:
quantize_params(ts)
return ts
def gen_taskset(periods, period_distribution, tasks_n, utilization,
period_granularity=None, scale=ms2us, want_integral=True):
if periods in NAMED_PERIODS:
# Look up by name.
(period_min, period_max) = NAMED_PERIODS[periods]
else:
# If unknown, then assume caller specified range manually.
(period_min, period_max) = periods
x = StaffordRandFixedSum(tasks_n, utilization, 1)
if period_granularity is None:
period_granularity = period_min
periods = gen_periods(tasks_n, 1, period_min, period_max, period_granularity, period_distribution)
ts = TaskSystem()
periods = numpy.maximum(periods[0], max(period_min, period_granularity))
C = scale(x[0] * periods)
taskset = numpy.c_[x[0], C / periods, periods, C]
for t in range(numpy.size(taskset,0)):
ts.append(SporadicTask(taskset[t][3], scale(taskset[t][2])))
if want_integral:
quantize_params(ts)
return ts
def gen_tasksets(options):
x = StaffordRandFixedSum(options.n, options.util, 1)
periods = gen_periods(options.n, 1, options.permin, options.permax, options.pergran, options.perdist)
ts = TaskSystem()
C = x[0] * periods[0]
if options.round_C:
C = numpy.round(C, decimals=0)
elif options.floor_C:
C = numpy.floor(C)
taskset = numpy.c_[x[0], C / periods[0], periods[0], C]
for t in range(numpy.size(taskset,0)):
ts.append(SporadicTask(taskset[t][3], taskset[t][2]))
# print ts
return ts
def gen_tasksets(options):
x = StaffordRandFixedSum(options.n, options.util, 1)
periods = gen_periods(options.n, 1, options.permin, options.permax, options.pergran, options.perdist)
ts = TaskSystem()
C = x[0] * periods[0]
if options.round_C:
C = numpy.round(C, decimals=0)
elif options.floor_C:
C = numpy.floor(C)
taskset = numpy.c_[x[0], C / periods[0], periods[0], C]
for t in range(numpy.size(taskset,0)):
ts.append(SporadicTask(taskset[t][3], taskset[t][2]))
# print ts
return ts