def solve(self, assumptions=None):
if assumptions is not None:
cnf = []
for a in assumptions:
cnf += self.cnfizer.convert(a)
missing = []
for clause in cnf:
if len(clause) == 1:
v = self._get_pico_lit(next(iter(clause)))
picosat.picosat_assume(self.pico, v)
else:
missing.append(clause)
if len(missing) > 0:
self.push()
self._add_cnf_assertion(missing)
self.pending_pop = True
res = picosat.picosat_sat(self.pico, -1)
if res == picosat.PICOSAT_SATISFIABLE:
self.latest_model = self.get_model()
return True
else:
self.latest_model = None
return False
def solve(self, assumptions=None):
if assumptions is not None:
cnf = []
for a in assumptions:
cnf += self.cnfizer.convert(a)
missing = []
for clause in cnf:
if len(clause) == 1:
v = self._get_pico_lit(next(iter(clause)))
picosat.picosat_assume(self.pico, v)
else:
missing.append(clause)
if len(missing) > 0:
self.push()
self._add_cnf_assertion(missing)
self.pending_pop = True
res = picosat.picosat_sat(self.pico, -1)
if res == picosat.PICOSAT_SATISFIABLE:
self.latest_model = self.get_model()
return True
else:
self.latest_model = None
return False
def solve(self, *ls):
"Check satisfiability under the given assumptions."
t1 = time.time()
for l in ls:
picosat.picosat_assume(self.p, l)
r = picosat.picosat_sat(self.p, self.decision_limit)
t2 = time.time()
if r == picosat.PICOSAT_SATISFIABLE:
self.last_sat_result = True
return True
elif r == picosat.PICOSAT_UNSATISFIABLE:
self.last_sat_result = False
return False
else:
self.last_sat_result = None
raise TimeoutError("Picosat returned unknown.")