Author | Dork |
Submission date | 2012-04-26 19:37:16.347192 |
Rating | 5126 |
Matches played | 793 |
Win rate | 51.7 |
Use rpsrunner.py to play unranked matches on your computer.
# pattern which stores all level 2-backward strategies
import random, math
# parameters
WIN = 3
DRAW = 1
LOSS = 0
# first my, second opponent opponent
# give a certain ranking
ranks={'RR':DRAW,'PP':DRAW,'SS':DRAW,'PR':WIN,'RS':WIN,'SP':WIN,'RP':LOSS,'SR': 0,'PS':LOSS}
# default choice, unless the algorith can't decide
# on something better
output = random.choice(["R", "P", "S"])
if input == "":
tmp = 1
tmp = {'R':tmp,'P':tmp,'S':tmp}
tmp = {'R':tmp,'P':tmp,'S':tmp}
tmp = {'R':tmp,'P':tmp,'S':tmp}
lev1 = tmp
tmp = {'R':tmp,'P':tmp,'S':tmp}
tmp = {'R':tmp,'P':tmp,'S':tmp}
lev2 = tmp
n = 0
wins = 0
loss = 0
my_hist = []
op_hist = []
else:
op_hist.append(input)
if n>3:
my_last = my_hist[n-1]
op_last = input
my_l1 = my_hist[n-2]
op_l1 = op_hist[n-2]
my_l2 = my_hist[n-3]
op_l2 = op_hist[n-3]
score = ranks[my_last+op_last]
lev1[my_l1][op_l1][my_last]+=score
lev2[my_l2][op_l2][my_l1][op_l1][my_last]+=score
if score==WIN:
wins+=1
if score==LOSS:
loss+=1
if ((n>10) and (wins>loss)):
if n>100:
dist=lev2[my_l1][op_l1][my_last][op_last]
else:
dist = lev1[my_last][op_last]
w1 = dist['R']
w2 = w1 + dist['S']
w3 = w2 + dist['P']
r = random.randint(1,w3)
if ((0<r) and (r<=w1)):
output = 'R'
if ((w1<r) and (r<=w2)):
output = 'S'
if ((w2<r) and (r<=w3)):
output = 'P'
my_hist.append(output)
n+=1