# GrowingOrder#4

 Author david.werecat Submission date 2013-02-06 02:01:51.010290 Rating 4098 Matches played 728 Win rate 39.97

Use rpsrunner.py to play unranked matches on your computer.

## Source code:

``````#By David Catt 2013.
import random
RPSID = ["R", "P", "S"]
RPSWIN = [1, 2, 0]
RPSLOSE = [2, 0, 1]
#IMID = 2147483648
#IMAX = 4294967295
class RPSMDL:
def __init__(self, order, decay, init):
self.ctx = 0
self.rate = decay
self.mdl = [[float(init)] * 3] * self.mask
def predict(self):
return self.mdl[self.ctx]
def update(self, val, newm):
val %= 3
#self.mdl[self.ctx][val] += (IMAX - self.mdl[self.ctx][val]) >> self.rate
#self.mdl[self.ctx][RPSWIN[val]] -= self.mdl[self.ctx][RPSWIN[val]] >> (self.rate + 1)
#self.mdl[self.ctx][RPSLOSE[val]] -= self.mdl[self.ctx][RPSLOSE[val]] >> (self.rate + 1)
self.mdl[self.ctx][0] *= self.rate
self.mdl[self.ctx][1] *= self.rate
self.mdl[self.ctx][2] *= self.rate
self.mdl[self.ctx][val] += 1
self.ctx = ((self.ctx << 2) ^ val) & self.mask;
if newm == 1:

class RPSPREDICTOR:
def __init__(self):
self.model = RPSMDL(6, 0.94, 2.0)
def predict(self):
tmp = self.model.predict()
if tmp[0] > tmp[1]:
if tmp[0] > tmp[2]:
return 0
else:
return 2
else:
if tmp[2] > tmp[1]:
return 2
else:
return 1
def update(self, val, newg):
self.model.update(val, newg)

if input == "":
predictor = RPSPREDICTOR()
aic = 0
elif input == "R":
predictor.update(0, aic != 0)
elif input == "P":
predictor.update(1, aic != 1)
elif input == "S":
predictor.update(2, aic != 2)
aic = RPSWIN[predictor.predict()]
output = RPSID[aic]``````