def test_minmax_d2(self):
'''
O|-|X
X|X|O
O|-|-
'''
ai_player = Player("AI_1", Token.A, True)
game = TicTacToe(p1=ai_player)
depth = 2
minmax = Minmax(ai_player, depth)
game.play(Point(2, 0))
game.play(Point(0, 0))
game.play(Point(0, 1))
game.play(Point(0, 2))
game.play(Point(1, 1))
game.play(Point(2, 1))
game.play(Point(1, 0))
val, _ = minmax._min(game, depth)
self.assertEqual(val, Minmax.DRAW_POINT)
game.undo()
game.play(Point(1, 2))
val, _ = minmax._min(game, depth)
self.assertEqual(val, Minmax.DRAW_POINT)
game.undo()
def test_minmax_d1(self):
'''
XX-
OO-
XO-
Simulate max loop and calling min evaluation
'''
ai_player = Player("AI_1", Token.A, True)
game = TicTacToe(p1=ai_player)
depth = 1
minmax = Minmax(ai_player, depth)
game.play(Point(0, 0))
game.play(Point(0, 1))
game.play(Point(1, 0))
game.play(Point(1, 1))
game.play(Point(0, 2))
game.play(Point(1, 2))
game.play(Point(2, 0))
val, _ = minmax._min(game, depth)
self.assertEqual(val, Minmax.WIN_POINT + depth)
game.undo()
game.play(Point(2, 1))
val, _ = minmax._min(game, depth)
self.assertEqual(val, Minmax.DRAW_POINT)
game.undo()
game.play(Point(2, 2))
val, _ = minmax._min(game, depth)
self.assertEqual(val, Minmax.LOOSE_POINT)
game.undo()