# Moretesting#2

 Author sdfsdf Submission date 2013-04-03 00:26:12.629498 Rating 7213 Matches played 708 Win rate 73.45

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

## Source code:

``````import random
if(1):
if input =="":
#initialize parameters
his1 =""
your_move =""
my_move =""
num_p = 7
predictors = [random.choice("RPS")]*num_p
predictors_score = [4]*num_p
output = random.choice("RPS")
beat = { "P":"S","R":"P","S":"R"}
temp1 = { "PP":"1","PR":"2","PS":"3",
"RP":"4","RR":"5","RS":"6",
"SP":"7","SR":"8","SS":"9"}
temp2 = { "1":"PP","2":"PR","3":"PS",
"4":"RP","5":"RR","6":"RS",
"7":"SP","8":"SR","9":"SS"}
#markov init
limit = [20,60,120,500]
order = [1,2,3]
else:
#update predictor score
for i in range(num_p):
#First selection
predictors_score[i] += (input==predictors[i])*4
predictors_score[i] -= (input==beat[beat[predictors[i]]])*predictors_score[i]

#update predictor
predictors[0] = random.choice("RPS")
his1 += temp1[(output+input)]
your_move += input
my_move += output
for length in range( min(25, len(his1)-1),0,-1):
search = his1[-length:]
idx = his1.rfind(search,0,-1)
if idx !=-1:
predictors[1] = expect
predictors[2] = beat[expect]
predictors[3] = beat[beat[expect]]