def getBurstSizeGenerator(conf, verbose):
if conf.get("Burst Size Distribution", "method") == "analytical":
if verbose:
print "-> Generating burst sizes from analytical function (powerlaw)"
mina = conf.get("Burst Size Distribution", "llimit")
maxa = conf.get("Burst Size Distribution", "ulimit")
bstable = genPowerlawTable(mina, maxa, conf.get("Burst Size Distribution", "lambda"))
burstGenerator = lambda:getAcceptRejectBurst(bstable, mina, maxa)
elif conf.get("Burst Size Distribution", "method") == "file":
if verbose:
print "-> Using burst sizes from file", conf.get("Burst Size Distribution", "bsdfile")
if conf.get("Burst Size Distribution", "apply") == "corrected":
bsizes = readBurstSizes(conf.get("Burst Size Distribution", "bsdfile"))
else:
bsizes = readBurstSizes(conf.get("Burst Size Distribution", "bsdfile"), corrected = False)
burstGenerator = lambda:pyrand.choice(bsizes)
return burstGenerator
def getExpBurstgen(bsdfile):
print "Using experimental BSD from", bsdfile
bsizes = readBurstSizes(bsdfile)
burstGenerator = lambda : random.choice(bsizes)
return burstGenerator
def getExpBurstgen(bsdfile):
print "Using experimental BSD from", bsdfile
bsizes = readBurstSizes(bsdfile)
burstGenerator = lambda: random.choice(bsizes)
return burstGenerator
