def trashing(card):
return card_info.trashes(card)
# http://forum.dominionstrategy.com/index.php?topic=647.msg8951#msg8951
bonus_feature_funcs = [
lambda x: 2 * card_info.coin_cost(x),
lambda x: 3 * card_info.potion_cost(x),
lambda x: 3 * card_info.num_plus_actions(x),
lambda x: 4 * card_info.num_plus_cards(x),
lambda x: 4 * card_info.is_action(x),
lambda x: 4 * card_info.is_victory(x),
lambda x: 4 * card_info.is_treasure(x),
lambda x: 5 * card_info.is_attack(x),
lambda x: 1 * card_info.is_reaction(x),
lambda x: 2 * card_info.vp_per_card(x),
lambda x: 1 * card_info.money_value(x),
lambda x: 1 * card_info.num_plus_buys(x),
# 1 * gains (remodel, upgrade, workshop, ...)
lambda x: 1 * max(card_info.trashes(x), 5)
# 6 * pollute (can add to other deck)
# 3 * combo (conspirator, peddler, ...
# 3 * special (goons, gardens, uniqueness in general)
# 3 * discard (militia, minion,
# 1 * cycle (vault, cellar, .. )
# 100 * win rate
]
def get_bonus_vec(card_name):
bonus_vec = np.zeros(len(bonus_feature_funcs))
for j, feature_func in enumerate(bonus_feature_funcs):
bonus_vec[j] = feature_func(card_name)
bonus_vec = bonus_vec * 0.1
return bonus_vec
# http://forum.dominionstrategy.com/index.php?topic=647.msg8951#msg8951
bonus_feature_funcs = [
lambda x: 2 * card_info.coin_cost(x),
lambda x: 3 * card_info.potion_cost(x),
lambda x: 3 * card_info.num_plus_actions(x),
lambda x: 4 * card_info.num_plus_cards(x),
lambda x: 4 * card_info.is_action(x),
lambda x: 4 * card_info.is_victory(x),
lambda x: 4 * card_info.is_treasure(x),
lambda x: 5 * card_info.is_attack(x),
lambda x: 1 * card_info.is_reaction(x),
lambda x: 2 * card_info.vp_per_card(x),
lambda x: 1 * card_info.money_value(x),
lambda x: 1 * card_info.num_plus_buys(x),
# 1 * gains (remodel, upgrade, workshop, ...)
lambda x: 1 * max(card_info.trashes(x), 5)
# 6 * pollute (can add to other deck)
# 3 * combo (conspirator, peddler, ...
# 3 * special (goons, gardens, uniqueness in general)
# 3 * discard (militia, minion,
# 1 * cycle (vault, cellar, .. )
# 100 * win rate
]
def get_bonus_vec(card_name):
bonus_vec = np.zeros(len(bonus_feature_funcs))
for j, feature_func in enumerate(bonus_feature_funcs):
bonus_vec[j] = feature_func(card_name)
bonus_vec = bonus_vec * 0.1
return bonus_vec
def trashing(card):
return card_info.trashes(card)
