from sa.m import m
from sa.tr import tr
from z1.tr_online.tr_no import tr_no
np.set_printoptions(precision=3)
eid = [
116, 27, 264, 184, 217, 49, 119, 175, 112, 180, 131, 93, 101, 245, 100, 33,
69, 68, 6, 129, 98, 233, 209
]
s = []
for i in eid:
m.seq_n = 6
tr.eps = 0.15
#tr_ = tr(mp(i))
tr_ = tr_no(mp(i))
s_ = tr_.run()
s2 = [sum(i) for i in s_]
s.append(s_[np.argmax(s2)])
tr_.cl()
print("{} {}".format(sum(s[-1]), i))
s2 = []
n = 501
for i in s:
a = []
for k in range(1, n + 1):
a.append(sum(i[:k]))
s2.append(a)
print(np.array(s2).mean(axis=0).tolist())
import numpy as np
from mp.mp import mp
from sa.tr import tr
from sa.m import m
np.set_printoptions(precision=3)
# train
s2 = []
for i in range(1, 2):
m.seq_n = i
m.h = 60
s = []
for eid in [253, 111, 295, 301, 275, 45, 123, 255, 36, 128]:
tr_ = tr(mp(eid))
s_ = tr_.run()
s.append(s_[np.argmax(np.array(s_)[:, 0])])
print(s[-1])
tr_.cl()
s2.append(np.array(s).mean(axis=0))
print("{} {}".format(s2[-1], m.seq_n))
print(s2)
import numpy as np
from mp.mp import mp
from sa.tr import tr
from sa.m import m
from z1.ul import less_t
np.set_printoptions(precision=3)
eid = [
116, 27, 264, 184, 217, 49, 119, 175, 112, 180, 131, 93, 101, 245, 100, 33,
69, 68, 6, 129, 98, 233, 209
]
rate = "0.6"
s = []
for i in eid:
less_t(i, rate)
m.seq_n = 1
tr_ = tr(mp(i))
s_ = tr_.run()
s.append(s_[np.argmax(np.array(s_)[:, 0])])
tr_.cl()
print("{} {}".format(s[-1], i))
print(rate)
print(np.array(s).mean(axis=0).tolist())
ln = 500
eid = [
116, 27, 264, 184, 217, 49, 119, 175, 112, 180, 131, 93, 101, 245, 100, 33,
69, 68, 6, 129, 98, 233, 209
]
rate = "0.4"
#a_ = [a.c1, a.c2]
a_ = [a.c1]
aid = []
for _ in range(int(ln / len(a_))):
aid.extend(a_)
# aid = []
# for _ in range(ln):
# aid.append(np.random.choice(a.a[1:], 1)[0])
s = []
for i in eid:
less_t(i, rate)
p_ = mp(i)
for k in aid:
p_.run(k)
s.append(np.array(p_.get_re()))
p_.cl()
print("{} {}".format(s[-1], p_.eid))
print(rate)
print(np.array(s).mean(axis=0).tolist())