def all_elas():
rlist = [5, 10, 25, 50, 75, 100, 200]
rex = {k: F.ExprAnl(port=6391+i) for i, k in enumerate(rlist)}
for k, e in rex.items():
print('Loading', k)
e.load(min(750, len(e.conf)))
name = 'rtime250_%d' % k
eid = db.get_expid(name)
db.adhoc('select swname, start, time, cpu from sw where expid=%d' % eid)
allboot = {k: C.elas_boot(v, 1000, 'dsw', limit=151000) for k,v in rex.items()}
plots = [{k: v[s] for k,v in allboot.items()} for s in range(5)]
for i, p in enumerate(plots):
P.scats(p, 'Elas_%d'%i)
def plot_elas():
rlist=['rtime250_5', 'rtime250_10', 'rtime250_20', 'rtime250_25', 'rtime250_50', 'rtime250_75', 'rtime250_100', 'rtime250_200']
# rlist=['rtime100_20', 'rtime100_100', 'rtime250_10', 'rtime250_20', 'rtime250_50', 'rtime250_100', 'rtime250_200']
costlabels={
# 'rtime100_100': '100ps/100/%d'%(1367+32),
# 'rtime100_20': '100ps/20/%d'%(1315+32),
'rtime250_5': '250ps/5/%d'%(923+114),
'rtime250_10': '250ps/10/%d'%(1351+95),
'rtime250_100': '250ps/100/%d'%(1711+40),
'rtime250_20': '250ps/20/%d'% (825+109),
'rtime250_25': '250ps/25/%d'% (1300+80),
'rtime250_75': '250ps/75/%d'% (1400+80),
'rtime250_200': '250ps/200/%d'%(1561+29),
'rtime250_50': '250ps/50/%d'%(1555+52)}
data = time_comp(rlist, step=1000)
for k,v in data.items():
P.scats(v, 'ElasticityCost-'+k, xlim=(0,5), labels=costlabels, xlabel='Time (in hours) Legend= SimTime/#Jobs/TotalCost')
