|
| 1 | +from operator import itemgetter |
| 2 | +import os |
| 3 | +import random |
| 4 | + |
| 5 | +DEFAULT = '_' |
| 6 | +VALID_POSITIONS = list(range(1, 10)) |
| 7 | +WINNING_COMBINATIONS = ( |
| 8 | + (7, 8, 9), (4, 5, 6), (1, 2, 3), |
| 9 | + (7, 4, 1), (8, 5, 2), (9, 6, 3), |
| 10 | + (1, 5, 9), (7, 5, 3), |
| 11 | +) |
| 12 | +PLAYER_X = "X" |
| 13 | +PLAYER_O = "O" |
| 14 | +AUTO_PLAYER = PLAYER_O |
| 15 | + |
| 16 | +DRAW_GAME = 20 |
| 17 | + |
| 18 | +class TicTacToe: |
| 19 | + |
| 20 | + def __init__(self, mode='multiplayer'): |
| 21 | + self.board = [None] + len(VALID_POSITIONS) * [DEFAULT] # skip index 0 |
| 22 | + self.turns = 0 |
| 23 | + self.player = PLAYER_X |
| 24 | + self.mode = mode |
| 25 | + |
| 26 | + def __str__(self): |
| 27 | + os.system('clear') |
| 28 | + result = "" |
| 29 | + for i in range(1, len(self.board), 3): |
| 30 | + result += " ".join(self.board[i: i + 3]) + "\n" |
| 31 | + return result |
| 32 | + |
| 33 | + def is_win(self): |
| 34 | + return self.player if TicTacToe.player_wins(self.player, self.board) else None |
| 35 | + |
| 36 | + def is_end(self): |
| 37 | + return TicTacToe.is_draw(self.board) |
| 38 | + |
| 39 | + def take_turn(self): |
| 40 | + if self.mode == 's' and self.player == AUTO_PLAYER: |
| 41 | + move = self.compute_move() |
| 42 | + else: |
| 43 | + move = input("Take turn: ") |
| 44 | + while not self.proper_move(move): |
| 45 | + move = input("Wrong move try again: ") |
| 46 | + self.make_move(move) |
| 47 | + |
| 48 | + def proper_move(self, move): |
| 49 | + return move.isdigit() and int(move) in TicTacToe.available_steps(self.board) |
| 50 | + |
| 51 | + def make_move(self, move): |
| 52 | + self.board[int(move)] = self.player |
| 53 | + self.turns += 1 |
| 54 | + |
| 55 | + def compute_move(self): |
| 56 | + return next(TicTacToe.available_steps(self.board), None) |
| 57 | + |
| 58 | + def next_turn(self): |
| 59 | + self.player = PLAYER_O if self.player == PLAYER_X else PLAYER_X |
| 60 | + |
| 61 | + @staticmethod |
| 62 | + def available_steps(board): |
| 63 | + return [i for i in VALID_POSITIONS if board[i] == DEFAULT] |
| 64 | + |
| 65 | + @staticmethod |
| 66 | + def player_wins(player, board): |
| 67 | + return any(all(player == i for i in itemgetter(a, b, c)(board)) for a, b, c in WINNING_COMBINATIONS) |
| 68 | + |
| 69 | + @staticmethod |
| 70 | + def is_draw(board): |
| 71 | + return len(TicTacToe.available_steps(board)) == 0 |
| 72 | + |
| 73 | + |
| 74 | +class RandomAITicTacToe(TicTacToe): |
| 75 | + def compute_move(self): |
| 76 | + return random.choice(TicTacToe.available_steps(self.board)) |
| 77 | + |
| 78 | + |
| 79 | +class MinMaxAITicTacToe(TicTacToe): |
| 80 | + def __init__(self, mode='multiplayer'): |
| 81 | + super(MinMaxAITicTacToe, self).__init__(mode) |
| 82 | + self.choice = 0 |
| 83 | + |
| 84 | + def compute_move(self): |
| 85 | + self.minmax(self.board, 0) |
| 86 | + return self.choice |
| 87 | + |
| 88 | + def minmax(self, board, depth): |
| 89 | + self.choice |
| 90 | + |
| 91 | + depth += 1 |
| 92 | + scores = [] |
| 93 | + steps = [] |
| 94 | + |
| 95 | + def update_state(board, step, depth): |
| 96 | + board = list(board) |
| 97 | + board[step] = PLAYER_X if depth % 2 else PLAYER_O |
| 98 | + return board |
| 99 | + |
| 100 | + def unit_score(winner, depth): |
| 101 | + if winner == DRAW_GAME: |
| 102 | + return 0 |
| 103 | + else: |
| 104 | + return 10 - depth if winner == PLAYER_X else depth - 10 |
| 105 | + |
| 106 | + def check_win_game(board): |
| 107 | + for player in [PLAYER_X, PLAYER_O]: |
| 108 | + if TicTacToe.player_wins(player, board): |
| 109 | + return player |
| 110 | + return DRAW_GAME if TicTacToe.is_draw(board) else 10 |
| 111 | + |
| 112 | + result = check_win_game(board) |
| 113 | + if result != 10: |
| 114 | + return unit_score(result, depth) |
| 115 | + |
| 116 | + for step in TicTacToe.available_steps(board): |
| 117 | + score = self.minmax(update_state(board, step, depth), depth) |
| 118 | + scores.append(score) |
| 119 | + steps.append(step) |
| 120 | + |
| 121 | + if depth % 2 == 1: |
| 122 | + max_value_index = scores.index(max(scores)) |
| 123 | + self.choice = steps[max_value_index] |
| 124 | + return max(scores) |
| 125 | + else: |
| 126 | + min_value_index = scores.index(min(scores)) |
| 127 | + self.choice = steps[min_value_index] |
| 128 | + return min(scores) |
| 129 | + |
| 130 | +if __name__ == "__main__": |
| 131 | + another = "y" |
| 132 | + while True: |
| 133 | + player_mode = input("For singleplayer mode type 's': ") |
| 134 | + game = MinMaxAITicTacToe(player_mode) |
| 135 | + print(game) |
| 136 | + while not game.is_end(): |
| 137 | + game.take_turn() |
| 138 | + print(game) |
| 139 | + if game.is_win(): |
| 140 | + break |
| 141 | + game.next_turn() |
| 142 | + |
| 143 | + another = input("Game over. Play once again?") |
| 144 | + if another.lower() not in ["y", "yes"]: |
| 145 | + break |
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