import logging
logging.basicConfig()
import dag_on as dag
@dag.func
def times2():
return gvar.get() * 2
gvar = dag.var(20)
if __name__ == "__main__":
#dag.set_log_level(logging.DEBUG)
print times2()
with dag.layer('test') as l:
gvar.set(30)
print times2()
with l:
gvar.set(40)
print times2()
with l:
print times2()
print times2()
with dag.temp_layer():
gvar.set(100)
print times2()
def __init__(self, f=None, l=None):
self._firstname = dag.var(f)
self._lastname = dag.var(l)
def __init__(self, name, price):
self._name = name
self._price = dag.var(price)
def __init__(self, name, bmark, basket):
self.name = name
self.bmark = bmark
self.basket = dag.var(basket)
#import dag_off as dag
if len(sys.argv) != 2:
print "usage: test9 [on|off]"
sys.exit(1)
if sys.argv[1].lower().strip() == "on":
print "dag on"
import dag_on as dag
else:
print "dag off"
import dag_off as dag
#import dag_on as dag
import logging
logging.basicConfig()
basket_spreads = {
"LLB" : dag.var(1.0),
"MLB" : dag.var(2.0),
"SEAS" : dag.var(3.0)
}
class Benchmark(object):
def __init__(self, name, price):
self._name = name
self._price = dag.var(price)
@dag.meth
def price(self):
# simulate expensive calculation
for i in range(1000):
pass
return self._price.get()
