from regret_tuning import RegretTuning
r = RegretTuning(datafile='./sat_runtime.csv', request_time_slot=600, conf_per_slot=100)
regret_period = 600*45
n = 300
k = 10
gplot_file_means = './satunsat_means_xp2.dat'
gplot_file_max = './satunsat_max_xp2.dat'
r.shuffle_data()
u = r.run_method('lex', regret_period, k)
v = r.run_method('rand', regret_period, k)
w = r.run_method('randsort', regret_period, k)
x = r.run_method('randsortdesc', regret_period, k)
y = r.run_method('randw', regret_period, k)
z = r.run_method('randwnoh', regret_period, k)
size = regret_period
for i in range(1, n):
r.shuffle_data()
t_u = r.run_method('lex', regret_period, k)
u = [u[j]+t_u[j] for j in range(0,size)]
t_v = r.run_method('rand', regret_period, k)
v = [v[j]+t_v[j] for j in range(0,size)]
t_w = r.run_method('randsort', regret_period, k)
from regret_tuning import RegretTuning
r = RegretTuning(datafile='./satunsat_runtime.csv', request_time_slot=600, conf_per_slot=100)
regret_period = 600*76
n = 300
k = 10
gplot_file_means = './satunsat_means_xp4.dat'
gplot_file_max = './satunsat_max_xp4.dat'
r.shuffle_data()
u = r.run_method('randw', regret_period, 10)
v = r.run_method('randw', regret_period, 20)
w = r.run_method('randw', regret_period, 30)
x = r.run_method('randw', regret_period, 40)
size = regret_period
for i in range(1, n):
r.shuffle_data()
t_u = r.run_method('randw', regret_period, 10)
u = [u[j]+t_u[j] for j in range(0,size)]
t_v = r.run_method('randw', regret_period, 20)
v = [v[j]+t_v[j] for j in range(0,size)]
t_w = r.run_method('randw', regret_period, 30)
w = [w[j]+t_w[j] for j in range(0,size)]
