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import copy | |
class Choice(): | |
def __init__(self, move, value, depth): | |
self.move = move | |
self.value = value | |
self.depth = depth | |
def __str__(self): | |
return (str(self.move) + ": " + str(self.value)) | |
class InvinciBot(): | |
def __init__(self, player): | |
self.player = player | |
def minimax(self, board, is_max, current_player, depth): | |
# if board has a winner or is a tie | |
# return with appropriate values | |
winner = board.has_winner() | |
if (winner == self.player): | |
return Choice(board.last_move(), 10 - depth, depth) | |
elif (winner == self.player.other): | |
return Choice(board.last_move(), -10 + depth, depth) | |
elif (len(board.moves) == 9): | |
return Choice(board.last_move(), 0, depth) | |
# otherwise, call minimax on each possible board combination | |
candidate_choices = [] | |
candidates = board.get_legal_moves() | |
for i in range(len(candidates)): | |
row = candidates[i][0] | |
col = candidates[i][1] | |
newboard = copy.deepcopy(board) | |
newboard.make_move(row, col, current_player) | |
result = self.minimax(newboard, not is_max, current_player.other, depth + 1) | |
result.move = newboard.last_move() | |
candidate_choices.append(result) | |
max_choice = None | |
max_value = -100 | |
min_choice = None | |
min_value = 100 | |
# determine which board combinations result in | |
# best move for particular agent | |
for i in range(len(candidate_choices)): | |
choice = candidate_choices[i] | |
if (is_max and choice.value > max_value): | |
max_choice = choice | |
max_value = choice.value | |
elif (not is_max and choice.value < min_value): | |
min_choice = choice | |
min_value = choice.value | |
# pick whichever move is the best for the | |
# particular agent | |
if (is_max): | |
return max_choice | |
else: | |
return min_choice | |
def select_move(self, board): | |
choice = self.minimax(board, True, self.player, 0) | |
return choice.move |
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