# BothCM_CH10RP6

This program has been disqualified.

 Author david.werecat Submission date 2014-12-13 20:01:08.201492 Rating 7617 Matches played 149 Win rate 77.85

## Source code:

``````#Created by David Catt on December 13, 2014
import random
class CntModel:
def __init__(self, decay):
self.decay = decay
self.prob = [0.0, 0.0, 0.0]
def predict(self):
if self.prob[0] > self.prob[1]:
if self.prob[0] > self.prob[2]:
return 0
else:
return 2
else:
if self.prob[1] > self.prob[2]:
return 1
else:
return 2
def update(self, val):
self.prob[0] *= self.decay
self.prob[1] *= self.decay
self.prob[2] *= self.decay
self.prob[val] += 1.0
class CtxModel:
def __init__(self, order, decay):
self.order = order
self.decay = decay
self.mask = (3 ** order) << 2
self.prob = [0.0 if (i & 3) < 3 else random.randint(0, 2) for i in range(0, self.mask)]
self.ctx = 0
def predict(self):
tvl = 0
tpr = 0.0
prb = 0.0
p0 = self.prob[self.ctx]
p1 = self.prob[self.ctx+1]
p2 = self.prob[self.ctx+2]
pm = 0
if p1 > p0:
if p1 > p2:
pm = 1
else:
pm = 2
elif p2 > p0:
pm = 2
rv = random.random() * (p0 + p1 + p2)
if rv <= p0:
return pm, self.prob[self.ctx + 3], 0
elif rv <= p1:
return pm, self.prob[self.ctx + 3], 1
else:
return pm, self.prob[self.ctx + 3], 2
def update(self, cvl, val):
self.prob[self.ctx] *= self.decay
self.prob[self.ctx + 1] *= self.decay
self.prob[self.ctx + 2] *= self.decay
self.prob[self.ctx + 3] = val
self.prob[self.ctx + val] += 1.0
self.ctx = ((self.ctx * 3) + (cvl << 2)) % self.mask
def nxtctx(self, cvl):
self.ctx = ((self.ctx * 3) + (cvl << 2)) % self.mask
class ModelSwitch:
def __init__(self, count, decay):
self.value = [1,0,-1,-1,1,0,0,-1,1]
self.count = count
self.decay = decay
self.weigh = [0.0] * count
self.pred = [0] * count
def setvalue(self, idx, val):
self.pred[idx] = val
def predict(self):
return self.pred[self.weigh.index(max(self.weigh))]
def update(self, val):
val *= 3
for i in range(0, self.count):
self.weigh[i] = (self.weigh[i] * self.decay) + self.value[val + self.pred[i]]

if input == "":
winner = [1,2,0]
nval = {"R":0,"P":1,"S":2,"":0}
cval = ["R","P","S"]
mdls = [CtxModel((i % 6) + 1, 0.93) if i < 24 else CtxModel((((i - 24) % 4) + 1) * 2, 0.93) for i in range(0, 32)]
zmdl0 = CntModel(0.93)
zmdl1 = CntModel(0.93)
msse = ModelSwitch(301, 0.93)
lval = 0
else:
val = nval[input]
for i in range(0, 6):
mdls[i].update(val, val)
mdls[i+6].update(lval, val)
mdls[i+12].update(val, lval)
mdls[i+18].update(lval, lval)
for i in range(24, 28):
mdls[i].nxtctx(val)
mdls[i].update(lval, val)
mdls[i+4].nxtctx(val)
mdls[i+4].update(lval, lval)
zmdl0.update(val)
zmdl1.update(lval)
msse.update(val)
pv = 0
for i in range(0, 32):
p1,p2,p3 = mdls[i].predict()
msse.setvalue(i, p1)
p1 = winner[p1]
msse.setvalue(i + 32, p1)
p1 = winner[p1]
msse.setvalue(i + 64, p1)
msse.setvalue(i + 96, p2)
p2 = winner[p2]
msse.setvalue(i + 128, p2)
p2 = winner[p2]
msse.setvalue(i + 160, p2)
msse.setvalue(i + 192, p3)
p3 = winner[p3]
msse.setvalue(i + 224, p3)
p3 = winner[p3]
msse.setvalue(i + 256, p3)
pv = zmdl0.predict()
msse.setvalue(288, pv)
pv = winner[pv]
msse.setvalue(289, pv)
pv = winner[pv]
msse.setvalue(290, pv)
pv = zmdl1.predict()
msse.setvalue(291, pv)
pv = winner[pv]
msse.setvalue(292, pv)
pv = winner[pv]
msse.setvalue(293, pv)
pv = nval[input]
msse.setvalue(294, pv)
pv = winner[pv]
msse.setvalue(295, pv)
pv = winner[pv]
msse.setvalue(296, pv)
pv = lval
msse.setvalue(297, pv)
pv = winner[pv]
msse.setvalue(298, pv)
pv = winner[pv]
msse.setvalue(299, pv)
msse.setvalue(300, random.randint(0, 2))
lval = winner[msse.predict()]
output = cval[lval]``````