def score(cls, dealer, level, strain, declarer, tries, mode=None):
# target = level + 6
dealers = []
declarers = [declarer] * tries
strains = [strain] * tries
for _ in range(tries):
tmp_dealer = deepcopy(dealer)
cards = dealer["_remaining"]
random.shuffle(cards)
for seat in Seat:
to_deal = len(Rank) - len(tmp_dealer[seat])
tmp_dealer[seat] += cards[:to_deal]
cards = cards[to_deal:]
dealers.append(tmp_dealer)
max_tricks = solve_all(dealers, strains, declarers)
if mode == "IMP":
scores = [
IMP_TABLE[(level, strain, trick)] for trick in max_tricks
]
# print("IMP mode....")
else:
target = level + 6
scores = [t - target for t in max_tricks]
return np.mean(scores)
def score_all(cls, dealer, declarer, tries, mode=None):
dealers = []
declarers = [declarer] * tries
strains = [[i] * tries for i in Strain] # cover strains from 0-4
scores_for_all_strains = [0] * 35 # for 35 actions
for _ in range(tries):
tmp_dealer = deepcopy(dealer)
cards = dealer["_remaining"]
random.shuffle(cards)
for seat in Seat:
to_deal = len(Rank) - len(tmp_dealer[seat])
tmp_dealer[seat] += cards[:to_deal]
cards = cards[to_deal:]
dealers.append(tmp_dealer)
for i, s in enumerate(Strain): # 0-4
max_tricks = solve_all(dealers, strains[i], declarers)
for level in range(1, 8): # 1-7
if mode == "IMP":
scores = [IMP_TABLE[(level, s, trick)] for trick in max_tricks]
else:
target = level+6
scores = [t - target for t in max_tricks]
idx = convert_level_strain2action(level, s) # find the action idx
scores_for_all_strains[idx] = np.mean(scores)
return scores_for_all_strains
def dd_all_tricks(self, strain, leader):
"""Compute declarer's number of double dummy tricks for all leads."""
return dds.solve_all(self, strain, leader)