def test_diagonal2(self):
t3 = TTT(3)
s3 = np.array([1, 0, -1, 1, -1, 0, -1, 1, 0])
self.assertEqual(t3.check_winner(s3), {
'winner': -1,
'lines': [[2, 4, 6]]
})
self.assertTrue(t3.is_terminated(s3))
t4 = TTT(4)
s4 = np.array([-1, 0, 0, 1, -1, 0, 1, 0, -1, 1, 0, 0, 1, 0, 0, 0])
self.assertTrue(t4.is_terminated(s4))
self.assertEqual(t4.check_winner(s4), {
'winner': 1,
'lines': [[3, 6, 9, 12]]
})
def test_diagonal1(self):
t3 = TTT(3)
s3 = np.array([1, 0, -1, 0, 1, -1, 0, 0, 1])
self.assertTrue(t3.is_terminated(s3))
self.assertEqual(t3.check_winner(s3), {
'winner': 1,
'lines': [[0, 4, 8]]
})
t4 = TTT(4)
s4 = np.array([-1, 0, 0, 1, 0, -1, 0, 1, 0, 1, -1, 0, 1, 0, 0, -1])
self.assertTrue(t4.is_terminated(s4))
self.assertEqual(t4.check_winner(s4), {
'winner': -1,
'lines': [[0, 5, 10, 15]]
})
def test_row(self):
t3 = TTT(3)
s3 = np.array([0, 0, 0, -1, -1, 0, 1, 1, 1])
self.assertEqual(t3.check_winner(s3), {
'winner': 1,
'lines': [[6, 7, 8]]
})
self.assertTrue(t3.is_terminated(s3))
def test_column(self):
t4 = TTT(4)
s4 = np.array([1, 0, 0, -1, 0, 1, 0, -1, 1, 0, 0, -1, 0, 1, 0, -1])
self.assertEqual(t4.check_winner(s4), {
'winner': -1,
'lines': [[3, 7, 11, 15]]
})
self.assertTrue(t4.is_terminated(s4))
def test_minimax_vs_minimax(self):
size = 3
t = TTT(size)
filepath = 'results/minimax.pk'
minimax_loaded = minimax_load(filepath)
moves = 0
while True:
[_, best_move] = minimax_loaded(t.get_state())
t.put(best_move)
moves += 1
if t.is_terminated():
break
pass
self.assertEqual(t.check_winner()['winner'], 0)
pass
def test_alphabeta_vs_alphabeta(self):
t = TTT(3)
player = ABPruning(3)
moves = 0
print('Moves : 0 ', end='')
while True:
[_, best_move] = player.get(t.get_state(), t.get_mover())
t.put(best_move)
moves += 1
print(f'{moves} ', end='')
if t.is_terminated():
break
pass
print('final state')
print(t)
self.assertEqual(t.check_winner()['winner'], 0)
def test_alphabeta_vs_minimax(self):
t = TTT(3)
minimax_player = minimax_load('results/minimax.pk')
alphabeta_player = ABPruning(3)
moves = 0
print('Moves : 0 ', end='')
while True:
if t.get_mover() == 1:
[_, best_move] = alphabeta_player.get(t.get_state(),
t.get_mover())
elif t.get_mover() == -1:
[_, best_move] = minimax_player(t.get_state())
t.put(best_move)
moves += 1
print(f'{moves} ', end='')
if t.is_terminated():
break
pass
print('final state')
print(t)
self.assertEqual(t.check_winner()['winner'], 0)
