def CheckMatchMrGreenGenes(g):
"""Bought 6 differently named Victory cards"""
accumed_per_player = g.cards_accumalated_per_player()
ret = []
for player, card_dict in accumed_per_player.iteritems():
victory_quants = [(c, q) for c, q in card_dict.iteritems() if
card_info.is_victory(c)]
if len(victory_quants) >= 6:
ret.append(achievement(player,
'Bought %d differently named Victory cards' %
len(victory_quants), len(victory_quants)))
return ret
def CheckMatchMrGreenGenes(g):
"""Bought 6 differently named Victory cards"""
accumed_per_player = g.cards_accumalated_per_player()
ret = []
for player, card_dict in accumed_per_player.iteritems():
victory_quants = [(c, q) for c, q in card_dict.iteritems()
if card_info.is_victory(c)]
if len(victory_quants) >= 6:
ret.append(
achievement(
player, 'Bought %d differently named Victory cards' %
len(victory_quants), len(victory_quants)))
return ret
def CheckMatchMrGreenGenes(g):
accumed_per_player = g.cards_accumalated_per_player()
ret = []
for player, card_dict in accumed_per_player.iteritems():
victory_quants = [(c, q) for c, q in card_dict.iteritems() if
card_info.is_victory(c)]
if len(victory_quants) >= 6:
ret.append({
'player': player,
'reason': 'Bought %d differently named Victory cards' %
len(victory_quants)}
)
return ret
def has_vp(card):
return card_info.is_victory(card)
new_mat = np.zeros((num_rows, existing_matrix.shape[1]))
for card, row in zip(existing_card_names, existing_matrix):
if acceptable_func(card):
new_mat[len(new_cards)] = row
new_cards.append(card)
return new_mat, new_cards
# 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
]
new_cards = []
new_mat = np.zeros((num_rows, existing_matrix.shape[1]))
for card, row in zip(existing_card_names, existing_matrix):
if acceptable_func(card):
new_mat[len(new_cards)] = row
new_cards.append(card)
return new_mat, new_cards
# 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 score_silk_road(deck_comp):
return sum(deck_comp[card] if card_info.is_victory(card) else 0
for card in deck_comp) / 4 * deck_comp['Silk Road']
def score_silk_road(deck_comp):
return sum(deck_comp[card] if card_info.is_victory(card) else 0
for card in deck_comp) / 4 * deck_comp['Silk Road']
def has_vp(card):
return card_info.is_victory(card)
