class Environment(object):
def __init__(self, verbose=False, output_file=sys.stdout):
self.verbose = verbose
self.output_file = output_file
def populate(self,components):
self.simulator = Simulator(components, self.verbose, self.output_file)
self.components = self.simulator.components
def simulate(self, untill=0, run_untill_queue_not_empty=False):
self.simulator.run(untill, run_untill_queue_not_empty)
from t100.core.simulator import Simulator
from t100.core.base_components import *
def creation_tax_expression(timestamp):
# 2 events each five minuts
return 2.0/(60*5)
def execution_time_expression(timestamp):
# execution takes 60 seconds +- 30
return 60+random.randint(-30,+30)
if __name__=='__main__':
acc = 0
for i in range(100):
q = Queue()
s = Source(output=q, creation_tax_expression=creation_tax_expression, execution_time_expression=execution_time_expression)
p = Process(inputs=[q])
steps_number = 60*60 #1 second each timestamp, running for 60 minuts
simul = Simulator(components=[q,s,p], verbose=True)
simul.run(untill=steps_number)
q_size = len(simul.components['queue'][0])
acc += q_size
print acc/100.
from t100.core.simulator import Simulator
from t100.core.components import *
"""
Example inter_03
for informations about this examples, see docs/examples/inter_03
"""
if __name__ == "__main__":
steps_number = 60 * 60
execution_time_expression = lambda: 60 + random.randint(-30, +30)
delta_t_expression = lambda: 30 + random.randint(1, 10)
s = Source(output=q, creation_tax=2.0 / (60 * 5), execution_time_expression=execution_time_expression)
ps = ProcessSource(
output=q, # process source
execution_time_expression=execution_time_expression,
delta_t_expression=delta_t_expression,
verbose=True,
)
p = Process(inputs=[q], source=ps, output_ratio=0.1)
p.output = p
simul = Simulator(components=[q, s, p], verbose=True)
simul.run(untill=steps_number, run_untill_queue_not_empty=True)
def populate(self,components):
self.simulator = Simulator(components, self.verbose, self.output_file)
self.components = self.simulator.components
from t100.core.simulator import Simulator
from t100.core.base_components import *
if __name__=='__main__':
acc = 0
for i in range(100):
q = Queue()
s = Source(output=q)
p = Process(inputs=[q])
simul = Simulator(components=[q,s,p])
simul.run(untill=1000)
q_size = len(simul.components['queue'][0])
acc += q_size
print acc/100.0
[01] from t100.core.simulator import Simulator
[02] from t100.core.base_components import *
[03]
[04]
[05] if __name__=='__main__':
[06]
[07] execution_time_expression = \
lambda _ : 60+random.randint(-30,+30)
[08] creation_tax_expression = lambda _ : 2.0/(60*5)
[09]
[10] acc = 0
[11] q = Queue()
[12] s = Source(output=q,
[13] creation_tax_expression=creation_tax_expression,
[14] execution_time_expression=execution_time_expression)
[15]
[16] p = Process(inputs=[q])
[17]
[18] steps_number = 60*60
[19]
[20] simul = Simulator(components=[q,s,p])
[21] simul.run(untill=steps_number)
[22] q_size = len(simul.components['queue'][0])
[23]
[24] print q_size
[25]
