Author | RPS v1.00 |
Submission date | 2016-07-16 16:14:57.346171 |
Rating | 3259 |
Matches played | 380 |
Win rate | 29.74 |
Use rpsrunner.py to play unranked matches on your computer.
import random
def mdl(N):
N%=3
if N<0:
N+=3
return N
if not input:
comb={'RR':'1','RP':'2','RS':'3','PR':'4','PP':'5','PS':'6','SR':'7','SP':'8','SS':'9'}
splt={'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'}
hist=[0]*3
eval=[0]*3
prin=[0]*3
meta=[0]*3
DNA=""
flag=False
output=random.choice("RPS")
else:
DNA+=comb[output+input]
if flag:
for i in range(3):
meta[i]*=0.9
re=mdl(prin[i]-k2i[input])
if re==2:
meta[j]-=1
else:
meta[j]+=re
for i in range(3):
hist[i]=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)
while i>=0:
hist[splt[DNA[i+j]]]+=1
i=DNA.find(RNA,i+1,-1)
output=random.choice("RPS")
flag=(hist[0]<>hist[1]) or (hist[1]<>hist[2])
if flag:
for i in range(3):
eval[i]=hist[mdl(i-1)]-hist[mdl(i+1)]
j=eval.index(max(eval))
for i in range(3):
prin[i]=mdl(j-i)
M=max(meta)
if M>0:
output=i2k[prin[meta.index(M)]]