# RPS v9.6

 Author tzoidis Submission date 2016-07-19 17:04:00.516304 Rating 6025 Matches played 399 Win rate 60.15

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

## Source code:

``````import random

kon={'RR':'1','RP':'2','RS':'3','PR':'4','PP':'5','PS':'6','SR':'7','SP':'8','SS':'9'}
d0s={'1':0,'2':0,'3':0,'4':1,'5':1,'6':1,'7':2,'8':2,'9':2}
d1s={'1':0,'2':1,'3':2,'4':0,'5':1,'6':2,'7':0,'8':1,'9':2}
k2i={'R':0,'P':1,'S':2}
i2k={0:'R',1:'P',2:'S'}

def mdl(N):
N%=3
if N<0:
N+=3
return N

if not input:
DNA=""
mRNA=""
tRNA=""
flag=[False]*5
hist=[[0]*3]*2
eval=[0]*3
subs=[[0]*6]*5
prin=[[[0]*6]*7]*4
meta=[0]*4
output=random.choice("RPS")
else:
for i in range(4):
x=0
y=0
for j in range(5):
for k in range(6):
if prin[i][j][k]>prin[i][x][y]:
x=j
y=k
if flag[x]:
re=mdl(subs[x][y]-k2i[input])
if re==2:
meta[i]-=1
else:
meta[i]+=re
for j in range(5):
for k in range(6):
prin[1][j][k]*=0.9
prin[3][j][k]*=0.9
if flag[j]:
re=mdl(subs[j][k]-k2i[input])
if re==0:
for i in range(2,4):
prin[i][j][k]-=0.1
elif re==1:
for i in range(4):
prin[i][j][k]+=1
elif re==2:
for i in range(4):
if i<2 or prin[i][j][k]<2:
prin[i][j][k]-=1
else:
prin[i][j][k]*=0.5
tRNA+=input
mRNA+=output
DNA+=kon[input+output]
for i in range(2):
for j in range(3):
hist[i][j]=0
i=-1
j=min(5,len(DNA))
while i<0 and j>1:
j-=1
RNA=DNA[-j:]
i=DNA.find(RNA,0,-1)
if i<0:
for k in range(len(DNA)):
hist[0][d0s[DNA[k]]]+=1
hist[1][d1s[DNA[k]]]+=1
while i>=0:
hist[0][d0s[DNA[i+j]]]+=1
hist[1][d1s[DNA[i+j]]]+=1
i=DNA.find(RNA,i+1,-1)
flag[0]=((hist[0][0]<>hist[0][1] or hist[0][1]<>hist[0][2]) and
(hist[1][0]<>hist[1][1] or hist[1][1]<>hist[1][2]))
if flag[0]:
for i in range(3):
eval[i]=hist[0][mdl(i-1)]-hist[0][mdl(i+1)]
j=eval.index(max(eval))
for i in range(3):
subs[0][i]=mdl(j-i)
for i in range(3):
eval[i]=hist[1][mdl(i-1)]-hist[1][mdl(i+1)]
j=eval.index(max(eval))
for i in range(3):
subs[0][i+3]=mdl(j-i+1)
for i in range(2):
j=min((2-i),len(DNA))
RNA=tRNA[-j:]
x=tRNA.rfind(RNA,0,-1)
y=tRNA.find(RNA,0,-1)
flag[2*i+1]=(x>=0)
flag[2*i+2]=(y>=0)
if flag[2*i+1]:
x=mdl(k2i[tRNA[x+j]]+1)
for k in range(3):
subs[2*i+1][k]=mdl(x-k)
if flag[2*i+2]:
y=mdl(k2i[tRNA[y+j]]+1)
for k in range(3):
subs[2*i+2][k]=mdl(y-k)
for i in range(2):
j=min((2-i),len(DNA))
RNA=mRNA[-j:]
x=mRNA.rfind(RNA,0,-1)
y=mRNA.find(RNA,0,-1)
flag[2*i+1]=flag[2*i+1] and (x>=0)
flag[2*i+2]=flag[2*i+2] and (y>=0)
if flag[2*i+1]:
x=mdl(k2i[mRNA[x+j]]-1)
for k in range(3):
subs[2*i+1][k+3]=mdl(x-k+1)
if flag[2*i+2]:
y=mdl(k2i[mRNA[y+j]]-1)
for k in range(3):
subs[2*i+2][k+3]=mdl(y-k+1)
output=random.choice("RPS")
i=meta.index(max(meta))
if max(meta)>0:
x=0
y=0
for j in range(5):
for k in range(6):
if prin[i][j][k]>prin[i][x][y]:
x=j
y=k
if flag[x] and prin[i][x][y]>0:
output=i2k[subs[x][y]]``````