RPS_4.6_Fix

 Author TZoides Submission date 2016-07-26 20:55:14.146443 Rating 6346 Matches played 371 Win rate 64.96

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
subs=[[0]*6]*5
prin=[[[0]*6]*5]*4
meta=[0]*4
hist=[[0]*3]*2
eval=[0]*3
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]:
y=mdl(subs[x][y]-k2i[input])
if y==2:
meta[i]-=1
else:
meta[i]+=y
for j in range(5):
if flag[j]:
for k in range(6):
prin[1][j][k]*=0.9
prin[3][j][k]*=0.9
y=mdl(subs[j][k]-k2i[input])
if y==0:
for i in range(2,4):
prin[i][j][k]-=0.1
elif y==1:
for i in range(4):
prin[i][j][k]+=1
elif y==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=min(5,len(DNA))
k=-1
while i>1 and k<0:
i-=1
RNA=DNA[-i:]
k=DNA.find(RNA,0,-1)
if k<0:
for j in range(len(DNA)):
hist[0][d0s[DNA[j]]]+=1
hist[1][d1s[DNA[j]]]+=1
while k>=0:
hist[0][d0s[DNA[i+k]]]+=1
hist[1][d1s[DNA[i+k]]]+=1
k=DNA.find(RNA,k+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(2):
for j in range(3):
eval[j]=hist[i][mdl(j-1)]-hist[i][mdl(j+1)]
k=eval.index(max(eval))
for j in range(3):
subs[0][3*i+j]=mdl(k-j+i)
i=min(5,len(DNA))
k=-1
while i>1 and k<0:
i-=1
RNA=DNA[-i:]
k=DNA.rfind(RNA,0,-1)
flag[1]=(k>=0)
if flag[1]:
for j in range(3):
subs[1][j]=mdl(d0s[DNA[i+k]]-j+1)
for j in range(3):
subs[1][j+3]=mdl(d1s[DNA[i+k]]-j-1)
i=min(5,len(DNA))
k=-1
while i>1 and k<0:
i-=1
RNA=tRNA[-i:]
k=tRNA.rfind(RNA,0,-1)
flag[2]=(k>=0)
if flag[2]:
for j in range(3):
subs[2][j]=mdl(k2i[tRNA[i+k]]-j+1)
for j in range(3):
subs[3][j+3]=mdl(k2i[mRNA[i+k]]-j-1)
i=min(5,len(DNA))
k=-1
while i>1 and k<0:
i-=1
RNA=mRNA[-i:]
k=mRNA.rfind(RNA,0,-1)
flag[2]=flag[2] and (k>=0)
flag[3]=flag[2]
if flag[2]:
for j in range(3):
subs[3][j]=mdl(k2i[tRNA[i+k]]-j+1)
for j in range(3):
subs[2][j+3]=mdl(k2i[mRNA[i+k]]-j-1)
flag[4]=flag[2] and flag[3]
if flag[4]:
for i in range(2):
for j in range(3):
hist[i][j]=0
for i in range(2):
hist[i][mdl(subs[2][3*i]-1)]+=1
hist[i][mdl(subs[3][3*i]-1)]+=1
for i in range(2):
for j in range(3):
eval[j]=hist[i][mdl(j-1)]-hist[i][mdl(j+1)]
k=eval.index(max(eval))
for j in range(3):
subs[4][3*i+j]=mdl(k-j)
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]]``````