Author | momo |
Submission date | 2011-06-11 21:14:02.198119 |
Rating | 6741 |
Matches played | 5336 |
Win rate | 64.88 |
Use rpsrunner.py to play unranked matches on your computer.
import random
def highest(v):
return random.choice([i for i in range(len(v)) if max(v) == v[i]])
if(1):
if (input == ""):
N = 1
mem = 4
AR1 = 0.75
states = ["R","S","P"]
st = [0,1,2]
sdic = {"R":0, "S":1, "P":2}
table = [{},{}]
fade = 0.008
res = [[0, 1, -1], [-1, 0, 1], [1, -1, 0]]
total=0
r=0
models = [1,1,1, 1,1,1, 1,1,1,1]
M = 3
state = [0] * (M*3+1)
yo= random.choice(st)
tu = random.choice(st)
hi1 = [yo]
hi2 = [tu]
prognosis = [random.choice(st) for i in range(M*3+1)]
choices = []
else:
tu = sdic[input]
hi1.append(yo)
hi2.append(tu)
state = [ AR1 * state[i] + res[prognosis[i]][tu] * models[i] for i in range(M*3+1)]
r = res[yo][tu]
total = total + r
count = [[0]* 3]* 3
if (N > mem + 1):
p = [hi1[N-mem-1:N-1], hi2[N-mem-1:N-1]]
s = [hi1[N-mem-2], hi2[N-mem-2]]
ins = [0,0]
for i in [0,1]:
ins[i] = tuple([s[1]]+ p[i])
if (ins[i] in table[i]): table[i][ins[i]] += 1+N*fade
else: table[i][ins[i]]= 1+N*fade
for j in st:
if (tuple([j]+ p[i]) in table[i]): count[i][j] = table[i][tuple([j]+p[i])]
prognosis[0] = highest([-c for c in count[0]]) #least freq me
prognosis[3] = highest(count[0]) #highest freq me
prognosis[6] = highest([-c for c in count[1]]) #least freq you
prognosis[9] = highest(count[1]) #highest freq you
# modelrandom
prognosis[3*M] = random.choice(st)
for i in range(M):
prognosis[i*3 + 1] = (prognosis[i*3] + 1) % 3
prognosis[i*3 + 2] = (prognosis[i*3+1] + 1) % 3
best = highest(state)
choices += [best]
yo = prognosis[best]
output = states[yo]
N = N + 1