def wrap(*args, **kwargs):
def measure():
time1 = time.time()
x = func(*args, **kwargs)
time2 = time.time()
return (time2 - time1) * 1000.0
measures = [measure() for _ in range(self._repeat_count)]
mean, mn, mx, std, left, right = interval_statistics(measures)
print(
"Statistics - mean: {0}, min: {1}, max: {2}, std: {3}, left: {4}, right: {5} by {6} runs"
.format(mean, mn, mx, std, left, right, self._repeat_count))
return func(*args, **kwargs)
def componoud_update(w, c1, c2, p, best, pop):
#doMap = random.random()
#if doMap < 0.1:
mapping_update(w, c1, c2, p.mapping, best.mapping, pop)
#else:
ordering_update(w, c1, c2, p.ordering, best.ordering, pop)
toolbox = Toolbox()
toolbox.register("population", heft_gen)
toolbox.register("fitness", fitness, _wf, rm, estimator)
toolbox.register("update", componoud_update)
return toolbox
pass
if __name__ == "__main__":
exp = RdpsoBaseExperiment(wf_name="Epigenomics_24",
W=0.2,
C1=0.5,
C2=0.5,
GEN=300,
N=20)
result = repeat(exp, 60)
print(result)
# result = exp()
sts = interval_statistics(result)
print("Statistics: {0}".format(interval_stat_string(sts)))
print("Average: {0}".format(numpy.mean(result)))
pass
#for (profit, trans) in profit_list:
# file.write(str(profit) + " " + str(trans) + "\n") `
w = 0.1
c1 = 0.6
c2 = 0.2
gen = 300
n = 20
fileRes = open("F:\eScience\Work\experiments\OMPSOvsRDPSO\Sipht_30 c1_06 c2_02 gen_300 n_20 FILTER only RD TEST.txt", 'w')
fileInfo = open("F:\eScience\Work\experiments\OMPSOvsRDPSO\Sipht_30 c1_06 c2_02 gen_300 n_20 FILTER info only RD TEST.txt", 'w')
exp_om = OmpsoBaseExperiment(wf_name=wf_list[0],
W=w, C1=c1, C2=c2,
GEN=gen, N=n)
result2 = repeat(exp_om, 100)
sts2 = interval_statistics(result2)
#for w in [x / 10 for x in range(15)]:
for _ in [1]:
print(w)
wf_cur = wf_list[0]
print(wf_cur)
exp_rd = RdpsoBaseExperiment(wf_name=wf_cur,
W=0.1, C1=0.6, C2=0.2,
GEN=gen, N=n)
result1 = repeat(exp_rd, 100)
sts1 = interval_statistics(result1)
fileInfo.write("OM " + str(w) + " " + str(sts2) + "\n")
fileInfo.write("RD " + str(w) + " " + str(sts1) + "\n")
#curFileRD = open("C:\Melnik\Experiments\Work\PSO_compare\\result\\" + wf_cur + "\\" + "RD w_0.2 c1_0.6 c2_test gen_300 n_20.txt", 'w')
#curFileRD2 = open("C:\Melnik\Experiments\Work\PSO_compare\\result\\" + wf_cur + "\\" + "RD2 w_0.2 c1_0.6 c2_test gen_300 n_20.txt", 'w')
#curFile.write("#C1 OM RD RDwithMap Heft" + "\n")
#for wcur in [0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5
#c2 = wcur
#print(c2)
exp_om = OmpsoBaseExperiment(wf_name=wf_cur,
W=w,
C1=c1,
C2=c2,
GEN=gen,
N=n,
data_intensive=100)
result2 = repeat(exp_om, execCount)
sts2 = interval_statistics([makespan for (makespan, pop) in result2])
#print(" om finish")
exp_rd = RdpsoBaseExperiment(wf_name=wf_cur,
W=w,
C1=c1,
C2=c2,
GEN=gen,
N=n,
data_intensive=100)
result1 = repeat(exp_rd, execCount)
sts1 = interval_statistics([makespan for (makespan, pop) in result1])
#print(" rd finish")
"""