def test56():
env = sim.Environment()
mon = sim.Monitor('number per second')
for i in range(100):
sample = sim.Normal(0.083,0.00166)()
mon.tally(sample)
mon = sim.Monitor('number per second')
env.run(100)
mon.print_histogram()
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.usedlength = 0
self.side = left
self.monitor_usedlength = sim.MonitorTimestamp(
name='used length', getter=self.get_usedlength)
self.monitor_time_in_complex = sim.Monitor(name='time in complex')
def test51():
env = sim.Environment()
d = sim.Poisson(2)
x = []
m = sim.Monitor(name='samples')
for i in range(10000):
m.tally(d())
m.print_histogram(15, 0, 1)
def test30():
env=sim.Environment()
m=sim.Monitor('m')
print (m.x(ex0=True))
m.tally(1)
m.tally(2)
m.tally(3)
m.tally(0)
m.tally('0')
m.tally('12')
m.tally('abc')
print (m.x(ex0=True))
def test37():
env=sim.Environment()
s = sim.Monitor('s')
s.tally(1)
s.tally(2)
s.tally(3)
s.tally(0)
s.tally(4)
s.tally('a')
print(s.x(ex0=False,force_numeric=True))
def test45():
def test(d, lowerbound=-sim.inf, upperbound=sim.inf):
d.print_info()
print('mean=', d.mean())
l=[d(lowerbound, upperbound) for i in range(10000)]
print('one sample', d())
print('mean sampled =', sum(l)/(len(l)+1))
print('-' * 79)
env=sim.Environment()
mon = sim.Monitor()
d = sim.Cdf((5, 0, 10, 50, 15, 90, 30, 95, 60, 100))
for _ in range(10000):
mon.tally(d.bounded_sample(lowerbound=5, upperbound=sim.inf, number_of_retries=300))
mon.print_histogram(30,-5,1)
def test55():
class X(sim.Component):
def process(self):
while True:
yield self.hold(sim.Exponential(rate=0.83)())
env.count += 1
class Y(sim.Component):
def process(self):
while True:
env.count=0
yield self.hold(1)
print(env.count)
mon.tally(env.count)
env = sim.Environment()
env.count = 0
X()
Y()
mon = sim.Monitor('number per second')
env.run(100)
mon.print_histogram()
def test26():
global de
class X(sim.Component):
def _get_a(self):
return self.a
def _now(self):
return self.env._now
def process(self):
m2.tally()
yield self.hold(1)
self.a=4
m2.tally()
m2.monitor(True)
print('3',m2.xt())
yield self.hold(1)
self.a=20
m2.tally()
yield self.hold(1)
self.a=0
m2.tally()
yield self.hold(1)
m3.tally()
m2.monitor(True)
de=sim.Environment()
m1=sim.Monitor('m1',type='uint8')
print (m1.mean())
m1.tally(10)
m1.tally(15)
m1.tally(20)
m1.tally(92)
m1.tally(0)
m1.tally(12)
m1.tally(0)
print ('m1.x()',m1.x(force_numeric=False))
print ('m1',m1.mean(),m1.std(),m1.percentile(50))
print ('m1 ex0',m1.mean(ex0=True),m1.std(ex0=True),m1.percentile(50,ex0=True))
x=X()
x.a=10
m2=sim.MonitorTimestamp('m2',getter=x._get_a,type='int8')
print('1',m2.xt())
m2.monitor(True)
m2.tally()
print('a',m2.xt())
# m2.monitor(True)
m2.tally()
print('2',m2.xt())
m3=sim.MonitorTimestamp('m3',getter=x._now)
print(m3())
de.run(10)
print('4',m2.xt())
print('5',m2.xduration())
print(m2.mean(),m2.std(),m2.percentile(50))
m1.print_histogram(10,0,10)
m2.print_histogram(10,0,10)
print(m3.xduration())
m3.print_histogram(10,0,10)
print('done')
# for i in range(101):
# print(i,m1.percentile(i),m2.percentile(i))
m3=sim.Monitor('m3')
m3.tally(1)
m3.tally(3)
print('xx')
def test27():
m1=sim.Monitor('m1')
print (m1.mean(),m1.std(),m1.percentile(50),m1.histogram())
m1.tally(10)
print (m1.mean(),m1.std(),m1.percentile(50),m1.histogram())
def setup(self):
self.usedlength = 0
self.side = left
self.monitor_usedlength = sim.MonitorTimestamp(name='used length')
self.monitor_time_in_complex = sim.Monitor(name='time in complex')
import salabim as sim
env = sim.Environment()
monitor_names = sim.Monitor(name="names")
for _ in range(10000):
name = sim.Pdf(("John", 30, "Peter", 20, "Mike", 20, "Andrew", 20, "Ruud", 5, "Jan", 5)).sample()
monitor_names.tally(name)
monitor_names.print_histograms(values=True)
