def test_single_variable(self):
net = sat_tensornetwork.sat_count_tn([
(1, 1, 1),
])
count = tensornetwork.contractors.naive(
net).get_final_node().get_tensor()
self.assertEqual(count.numpy(), 1)
def test_sanity_check(self):
net = sat_tensornetwork.sat_count_tn([
(1, 2, 3),
])
count = tensornetwork.contractors.naive(
net).get_final_node().get_tensor()
self.assertEqual(count.numpy(), 7)
def test_four_variables():
nodes = sat_tensornetwork.sat_count_tn([
(1, 2, 3),
(1, 2, 4),
])
count = tensornetwork.contractors.greedy(nodes).tensor
assert count == 13
def test_dual_clauses():
nodes = sat_tensornetwork.sat_count_tn([
(1, 2, 3),
(1, -2, 3),
])
count = tensornetwork.contractors.greedy(nodes).tensor
assert count == 6
def test_four_variables(self):
net = sat_tensornetwork.sat_count_tn([
(1, 2, 3),
(1, 2, 4),
])
count = tensornetwork.contractors.naive(
net).get_final_node().get_tensor()
self.assertEqual(count.numpy(), 13)
def test_dual_clauses(self):
net = sat_tensornetwork.sat_count_tn([
(1, 2, 3),
(1, -2, 3),
])
count = tensornetwork.contractors.naive(
net).get_final_node().get_tensor()
self.assertEqual(count.numpy(), 6)
def test_unsatisfiable(self):
net = sat_tensornetwork.sat_count_tn([(1, 1, 1), (-1, -1, -1)])
count = (
tensornetwork.contractors.naive(net).get_final_node().get_tensor())
self.assertEqual(count.numpy(), 0)
def test_single_variable():
nodes = sat_tensornetwork.sat_count_tn([
(1, 1, 1),
])
count = tensornetwork.contractors.greedy(nodes).tensor
assert count == 1
def test_sanity_check():
nodes = sat_tensornetwork.sat_count_tn([
(1, 2, 3),
])
count = tensornetwork.contractors.greedy(nodes).tensor
assert count == 7
