def test_minimax():
new_game = Game()
new_board = Board()
new_board.board = [["O", "O", "X"], ["X", "?", "O"], ["?", "?", "X"]]
new_game.board = new_board
new_game.player1 = Player(1, "Human", "O")
new_game.player2 = Player(2, "Computer", "X")
assert new_game.expert_ai(new_game.board, -math.inf, math.inf,
"X") == (1, 2, 1)
def test_minimax_2():
new_game = Game()
new_board = Board()
new_board.board = [["?", "O", "?"], ["X", "O", "?"], ["O", "X", "X"]]
new_game.board = copy.deepcopy(new_board)
new_game.player1 = Player(1, "Human", "O")
new_game.player2 = Player(2, "Computer", "X")
assert new_game.expert_ai(new_game.board, -math.inf, math.inf,
"X") == (0, 0, 2)
def test_minimax_3():
new_game = Game()
new_board = Board()
new_board.board = [["?", "?", "?"], ["?", "O", "?"], ["X", "O", "X"]]
new_game.board = new_board
new_game.player1 = Player(1, "Human", "O")
new_game.player2 = Player(2, "Computer", "X")
new_game.current_turn = new_game.player2
result = new_game.expert_ai(new_game.board, -math.inf, math.inf, "X")
assert result[1] == 0
assert result[2] == 1
def next_move_and_result(player, board_string):
new_board = Board()
flat_board = board_string.split()
board_array = [flat_board[0:3], flat_board[3:6], flat_board[6:9]]
new_board.board = board_array
new_game = Game()
new_game.board = new_board
new_game.player1 = Player(1, "Human", "O")
new_game.player2 = Player(2, "Computer", "X")
result, best_row, best_column = new_game.expert_ai(new_game.board, player)
board_array[best_row][best_column] = "*"
new_board_string = "\n ".join(" ".join(row) for row in board_array)
return """
Position score: {}
{}
""".format(result, new_board_string)
