# -*- encoding: utf-8 -*-
"""
Render image for presentation
"""
import shuyo
import __init__
__init__.OUTPUT_IMAGE = True
mc = __init__.MontecarloPlayer('RED')
players = (
(shuyo.RED, "RED", mc),
(shuyo.BLUE, "BLUE", shuyo.MinMax('BLUE')))
r, b = shuyo.match(players, True)
from __init__ import MontecarloPlayer
while True:
red_win = 0
red_lose = 0
red_even = 0
mc_win = 0
mc_lose = 0
mc_even = 0
tricolore.SAMPLE_PER_ACTION += 50
for _j in range(50):
players = (
(shuyo.RED, "RED", MontecarloPlayer('RED')),
(shuyo.BLUE, "BLUE", shuyo.MinMax('BLUE')))
try:
r, b = shuyo.match(players, None)
except:
r = b = 0 # error consider as even
if r > b:
red_win += 1
mc_win += 1
elif r < b:
red_lose += 1
mc_lose += 1
else:
red_even += 1
mc_even += 1
#print 'Red win:lose:even=%d:%d:%d' % (red_win, red_lose, red_even)
#print 'MC win:lose:even=%d:%d:%d' % (mc_win, mc_lose, mc_even)
# -*- encoding: utf-8 -*-
"""
script to run with shuyo's AI
"""
import shuyo
import tricolore
tricolore.SAMPLE_PER_ACTION = 200
from __init__ import Human
players = (
(shuyo.RED, "RED", Human('RED')),
(shuyo.BLUE, "BLUE", shuyo.MinMax('BLUE')))
shuyo.match(players, True)