RPS_XVI

AuthorTeleZ
Submission date2017-09-17 14:19:00.368050
Rating7543
Matches played245
Win rate75.1

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'}
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=[""]*3
   hist=[[0]*3]*2
   eval=[0]*3
   subs=[0]*12
   skor=[0]*12
   flag=False
   output=random.choice("RPS")
else:
   if flag:
      d=random.betavariate(4.6,1.4)
      for i in range(12):
          q=mdl(subs[i]-k2i[input])
          if q==2:
             q=-1
          skor[i]=d*skor[i]+q
   for i in range(2):
       for j in range(3):
           hist[i][j]=0
   DNA[0]+=input
   DNA[1]+=output
   DNA[2]+=kon[input+output]
   i=min(11,len(DNA[2]))
   j=-1
   while i>1 and j<0:
         i-=1
         RNA=DNA[2][-i:]
         j=DNA[2].find(RNA,0,-1)
   flag=(j>=0)
   while j>=0:
         q=i+j
         for k in range(2):
             hist[k][k2i[DNA[k][q]]]+=1
         j=DNA[2].find(RNA,j+1,-1)
   if flag:
      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[3*i+j]=mdl(k-j+i)
              subs[3*i+j+6]=mdl(k2i[DNA[i][q]]-j+i+1)
      output=i2k[subs[skor.index(max(skor))]]
   else:
      output=random.choice("RPS")