def dd_tricks(self, contract_declarer):
"""Compute declarer's number of double-dummy tricks in a contract."""
strain = Contract.from_str(contract_declarer[:-1]).strain
declarer = contract_declarer[-1]
if (strain, declarer) not in self._dd_cache:
self._dd_cache[strain, declarer] = \
dds.solve(self, strain, declarer)
return self._dd_cache[strain, declarer]
def score_st(cls, dealer, level, strain, declarer, tries, mode=None):
max_tricks = []
# target = level + 6
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:]
max_tricks.append(solve(tmp_dealer, strain, declarer))
# score = max_trick - target
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_st(cls, dealer, declarer, tries, mode=None):
scores_for_all_strains = np.zeros((35, tries))
idx_table = [[convert_level_strain2action(l, s) for l in range(1, 8)] for s in Strain]
for t 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:]
for s in Strain:
max_trick = solve(tmp_dealer, s ,declarer)
for level in range(1, 8):
idx = idx_table[s][level-1]
if mode == "IMP":
score = IMP_TABLE[(level, s, max_trick)]
else:
score = max_trick - level - 6
scores_for_all_strains[idx][t] = score
scores_for_all_strains = np.mean(scores_for_all_strains, axis=-1)
return scores_for_all_strains