def broad_test(axiom_list, outputfilepath="testresults.txt"):
"""
Tests every combination of axioms in a cnf-like format (which seemed appropriate). Input format as follows:
axiom_list is an iterable (generally a list) of lists, in
which every element is a function which returns the cnf for
an axiom. Every sublist indicates that one of the axioms within it must be a part of every trial. Thus, a singleton is a
necessary part (which is for example generally appropriate
for atLeastOne).
Duplicate axioms within a trial as well as duplicate trials are
removed efficiently, so the encoding need not prevent duplicates.
"""
# get every single axiom used (without duplicates)
all_used_axioms = set()
for sublist in axiom_list:
for ax in sublist:
all_used_axioms.add(ax)
# map every axiom to an integer
ax2int = {}
int2ax = {}
for i, ax in enumerate(all_used_axioms):
ax2int[ax] = i
int2ax[i] = ax
# map integers to corresponding cnfs
# allows us to only calculate them once
print("Gathering all cnf formulas:")
int2cnf = {}
for ax, i in ax2int.items():
print(ax.__name__)
int2cnf[i] = ax()
# transform axioms given into ints, for easier duplicate removal
axiom_list = [[ax2int[ax] for ax in sublist] for sublist in axiom_list]
# get every trial by taking the cartesian product of input
trials = product(*axiom_list)
# remove duplicate axioms per trial
trials = [tuple(sorted(list(set(x)))) for x in trials]
# remove duplicate trials
trials = list(set(trials))
trials.sort()
with open(outputfilepath, 'w') as f:
print("Solving:")
for trial in tqdm(trials):
cnf = chain(*[int2cnf[ax] for ax in trial])
ans = pylgl.solve(cnf)
if ans == "UNSAT":
ans = "Unsatisfiable"
else:
ans = "Satisfiable "
axnames = [int2ax[ax].__name__ for ax in trial]
f.write(f"{ans}: {', '.join(axnames)}\n")
def test_cnf1_vars(self):
self.assertEqual(solve(clauses1, vars=7), [1, -2, -3, -4, 5, -6, -7])
def test_cnf3_3vars(self):
self.assertEqual(solve(clauses3, vars=3), [-1, -2, -3])
def test_cnf3(self):
self.assertEqual(solve(clauses3), [[-1, -2, -3], [-1, -2, 3]])
def test_cnf2(self):
self.assertEqual(solve(clauses2), "UNSAT")
def test_each_clause_gen(self):
self.assertEqual(solve([(x for x in clause) for clause in clauses1]),
[1, -2, -3, -4, 5])
def test_gen_clauses(self):
def gen_clauses():
for clause in clauses1:
yield clause
self.assertEqual(solve(gen_clauses()), [1, -2, -3, -4, 5])
def test_each_clause_tuples(self):
self.assertEqual(solve([tuple(clause) for clause in clauses1]),
[1, -2, -3, -4, 5])
def test_tuple_caluses(self):
self.assertEqual(solve(tuple(clauses1)), [1, -2, -3, -4, 5])
def test_each_clause_iter(self):
self.assertEqual(solve([iter(clause) for clause in clauses1]),
[1, -2, -3, -4, 5])
def test_iter_clauses(self):
self.assertEqual(solve(iter(clauses1)), [1, -2, -3, -4, 5])
def test_cnf1(self):
self.assertEqual(solve(clauses1), [1, -2, -3, -4, 5])
if sys.version_info[0] == 2:
cls = [[long(lit) for lit in clause] for clause in clauses1]
self.assertEqual(solve(cls), [1, -2, -3, -4, 5])
def test_no_clauses(self):
for n in range(7):
self.assertEqual(solve([], n), [-i for i in range(1, n + 1)])
#cnf4a = cnfAtLeastOne() + cnfKellyCardinalityStrategyproofness() + cnfProportionality() # impossible (3,4,3)
#cnf4b = cnfAtLeastOne() + cnfKellyCardinalityStrategyproofness() + cnfWeakEfficiency() # possible (3,4,3)
#cnf4c = cnfAtLeastOne() + cnfKellyCardinalityStrategyproofness() + cnfParetoEfficiency() #possible (3,4,3)
#cnf6a = cnfAtLeastOne() + cnfKellyWeakSupersetStrategyproofness() + cnfParetoEfficiency() + cnfProportionality() # possible (3,4,3)
#cnf6b = cnfAtLeastOne() + cnfKellyWeakSupersetStrategyproofness() + cnfParetoEfficiency() + cnfSemiPartylistProportionality() #impossible (3,4,3)
#cnf7 = cnfAtLeastOne() + cnfProportionality() + cnfOptimisticCardinalityStrategyproofness() + cnfProportionalityVotingRule() + cnfParetoEfficiency() # possible (3,4,3)
#cnf8a = cnfAtLeastOne() + cnfProportionality() + cnfPessimisticCardinalityStrategyproofness() + cnfParetoEfficiency() # possible (3,4,3)
#cnf8b = cnfAtLeastOne() + cnfSemiPartylistProportionality() + cnfPessimisticCardinalityStrategyproofness() + cnfParetoEfficiency() # impossible (3,4,3)
cnf = cnfAtLeastOne() + cnfOptimisticCardinalityStrategyproofness(
) + cnfPessimisticCardinalityStrategyproofness() + cnfProportionality(
) #+ cnfParetoEfficiency()
#dimacs(cnf, sum([len(x) for x in cnfAtLeastOne()]), len(cnf), 'cnf/kellyc+prop+par-343.cnf')
#t1 = time.time()
ans = pylgl.solve(cnf)
#t2 = time.time()
#print(t2 - t1)
#embed()
lits = []
a = sorted([x for x in ans if x > 0])
for i in a:
lit = int2lit[i]
lits.append(lit)
print("{} elects: {}".format(lit[1], lit[0]))
"""counter = 0
for sol in pylgl.itersolve(cnf):
counter += 1
if(counter % 100 == 0):
print(counter)
a = sorted([int2lit[x] for x in sol if x > 0])
def run_SAT(self):
self.SAT_result = pylgl.solve(self.clauses)
