def __init__(self, strategy, name=None):
self.strategy = strategy
self.strategy_on = True
self.strategy_complete = False
if name is None:
self.name = 'IdealistComboBot(%s)' % (strategy)
else:
self.name = name
BigMoney.__init__(self, 1, 2)
def __init__(self, strategy, name=None):
self.strategy = strategy
self.strategy_on = True
self.strategy_complete = False
if name is None:
self.name = 'IdealistComboBot(%s)' % (strategy)
else:
self.name = name
BigMoney.__init__(self, 1, 2)
def calculate_elo_vs_BigMoney(p, ngame = 50):
"""
Let BigMoney() have elo of 1500.
Caluculate elo of some bot
"""
ngame = ngame
pb = BigMoney()
wins1, fs1 = compare_bots([p,pb],num_games=ngame,order=1)
wins2, fs2 = compare_bots([pb,p],num_games=ngame,order=1)
winrate = (wins1[p] + wins2[p])/(2*ngame)
if winrate == 0:
return 0
elif winrate == 1:
return np.inf
return -np.log10(1/winrate - 1)*400
def big_money_baseline():
improvements = np.zeros((30, ))
counts = np.zeros((30, ), dtype='int32')
for iteration in xrange(10000):
game = Game.setup([BigMoney(1, 2)])
for turn in xrange(30):
before_value = deck_value(game.state().all_cards())
game = game.take_turn()
after_value = deck_value(game.state().all_cards())
delta = after_value - before_value
improvements[turn] += delta
counts[turn] += 1
if game.over(): break
avg = [imp / count for imp, count in zip(improvements, counts)]
print avg
print counts
return avg
def buy_priority_order(self, decision):
if self.strategy_complete:
return BigMoney.buy_priority_order(self, decision)
else:
return [None, c.silver, c.gold, c.province
] + self.strategy_priority
def buy_priority_order(self, decision):
if self.strategy_complete:
return BigMoney.buy_priority_order(self, decision)
else:
return [None, c.silver, c.gold, c.province] + self.strategy_priority
