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tictactoe as ttt + +X = "X" +O = "O" +EMPTY = None + +U = [[EMPTY, X, EMPTY],[ O, O, X],[X, EMPTY, EMPTY]] +action = ttt.minimax(U) +print(action) \ No newline at end of file diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..0cb7ff1 --- /dev/null +++ b/requirements.txt @@ -0,0 +1 @@ +pygame diff --git a/runner.py b/runner.py new file mode 100644 index 0000000..375c058 --- /dev/null +++ b/runner.py @@ -0,0 +1,146 @@ +import pygame +import sys +import time + +import tictactoe as ttt + +pygame.init() +size = width, height = 600, 400 + +# Colors +black = (0, 0, 0) +white = (255, 255, 255) + +screen = pygame.display.set_mode(size) + +mediumFont = pygame.font.Font("OpenSans-Regular.ttf", 28) +largeFont = pygame.font.Font("OpenSans-Regular.ttf", 40) +moveFont = pygame.font.Font("OpenSans-Regular.ttf", 60) + +user = None +board = ttt.initial_state() +ai_turn = False + +while True: + + for event in pygame.event.get(): + if event.type == pygame.QUIT: + sys.exit() + + screen.fill(black) + + # Let user choose a player. + if user is None: + + # Draw title + title = largeFont.render("Play Tic-Tac-Toe", True, white) + titleRect = title.get_rect() + titleRect.center = ((width / 2), 50) + screen.blit(title, titleRect) + + # Draw buttons + playXButton = pygame.Rect((width / 8), (height / 2), width / 4, 50) + playX = mediumFont.render("Play as X", True, black) + playXRect = playX.get_rect() + playXRect.center = playXButton.center + pygame.draw.rect(screen, white, playXButton) + screen.blit(playX, playXRect) + + playOButton = pygame.Rect(5 * (width / 8), (height / 2), width / 4, 50) + playO = mediumFont.render("Play as O", True, black) + playORect = playO.get_rect() + playORect.center = playOButton.center + pygame.draw.rect(screen, white, playOButton) + screen.blit(playO, playORect) + + # Check if button is clicked + click, _, _ = pygame.mouse.get_pressed() + if click == 1: + mouse = pygame.mouse.get_pos() + if playXButton.collidepoint(mouse): + time.sleep(0.2) + user = ttt.X + elif playOButton.collidepoint(mouse): + time.sleep(0.2) + user = ttt.O + + else: + + # Draw game board + tile_size = 80 + tile_origin = (width / 2 - (1.5 * tile_size), + height / 2 - (1.5 * tile_size)) + tiles = [] + for i in range(3): + row = [] + for j in range(3): + rect = pygame.Rect( + tile_origin[0] + j * tile_size, + tile_origin[1] + i * tile_size, + tile_size, tile_size + ) + pygame.draw.rect(screen, white, rect, 3) + + if board[i][j] != ttt.EMPTY: + move = moveFont.render(board[i][j], True, white) + moveRect = move.get_rect() + moveRect.center = rect.center + screen.blit(move, moveRect) + row.append(rect) + tiles.append(row) + + game_over = ttt.terminal(board) + player = ttt.player(board) + + # Show title + if game_over: + winner = ttt.winner(board) + if winner is None: + title = f"Game Over: Tie." + else: + title = f"Game Over: {winner} wins." + elif user == player: + title = f"Play as {user}" + else: + title = f"Computer thinking..." + title = largeFont.render(title, True, white) + titleRect = title.get_rect() + titleRect.center = ((width / 2), 30) + screen.blit(title, titleRect) + + # Check for AI move + if user != player and not game_over: + if ai_turn: + time.sleep(0.5) + move = ttt.minimax(board) + board = ttt.result(board, move) + ai_turn = False + else: + ai_turn = True + + # Check for a user move + click, _, _ = pygame.mouse.get_pressed() + if click == 1 and user == player and not game_over: + mouse = pygame.mouse.get_pos() + for i in range(3): + for j in range(3): + if (board[i][j] == ttt.EMPTY and tiles[i][j].collidepoint(mouse)): + board = ttt.result(board, (i, j)) + + if game_over: + againButton = pygame.Rect(width / 3, height - 65, width / 3, 50) + again = mediumFont.render("Play Again", True, black) + againRect = again.get_rect() + againRect.center = againButton.center + pygame.draw.rect(screen, white, againButton) + screen.blit(again, againRect) + click, _, _ = pygame.mouse.get_pressed() + if click == 1: + mouse = pygame.mouse.get_pos() + if againButton.collidepoint(mouse): + time.sleep(0.2) + user = None + board = ttt.initial_state() + ai_turn = False + + pygame.display.flip() diff --git a/tictactoe.py b/tictactoe.py new file mode 100644 index 0000000..a47097a --- /dev/null +++ b/tictactoe.py @@ -0,0 +1,281 @@ +""" +Tic Tac Toe Player +""" +import math +import random +import copy + +X = "X" +O = "O" +EMPTY = None +NotB = "NB" # Not to Play: mark the cell to tell minmax not to play here at the first move + +def initial_state(): + """ + Returns starting state of the board. + """ + return [[EMPTY, EMPTY, EMPTY], + [EMPTY, EMPTY, EMPTY], + [EMPTY, EMPTY, EMPTY]] + +def player(board): + """ + Returns player who has the next turn on a board. + """ + # board as a 1D list + boardFlat = [j for sub in board for j in sub] + + # If the board isn't full + if boardFlat.count(EMPTY) > 0: + # If the board is empty + if boardFlat.count(EMPTY) == 9: + return X + if boardFlat.count(O) < boardFlat.count(X): + return O + else: + return X + else: + return None + #raise NotImplementedError + +def actions(board): + """ + Returns set of all possible actions (i, j) available on the board. + """ + boardFlat = [j for sub in board for j in sub] + Actions = set() + act = [i for i, val in enumerate(boardFlat) if val == None] + for i in act: + Actions.add((i//3,i%3)) + return Actions + +def result(board, action): + """ + Returns the board that results from making move (i, j) on the board. + action is a list = [(coordinates,player)]. eg: [(0,1),'X'] + """ + try: + # if action is an integer, there is not an specified player (i.e first move) + if type(action[0]) == int: + move = action + playr = player(board) + #action == None means the game is over, so do nothing + elif action[0] is None: + return board + else: + move = action[0] + playr = action[1] + if (move[0]<0) or (move[0]>2) or (move[1]<0) or (move[1]>2): + raise InvalidMoveException + else: + board[move[0]][move[1]] = playr + return board + except InvalidMoveException: + print("Exception occurred: Invalid Move") + +def actions(board): + """ + Returns set of all possible actions (i, j) available on the board. + """ + boardFlat = [j for sub in board for j in sub] + Actions = set() + act = [i for i, val in enumerate(boardFlat) if val == None] + for i in act: + Actions.add((i//3,i%3)) + return Actions + +def winner(board): + """ + Returns the winner of the game, if there is one. + """ + if utility(board) == 1: + return 'X' + elif utility(board) == -1: + return 'O' + else: + return None + +def terminal(board): + """ + Returns True if game is over, False otherwise. + """ + boardFlat = [j for sub in board for j in sub] + A = boardFlat.count(None) + if (A == 0): + return True + if bool(checklines(board,3)): + return True + if bool(checklines(board,-3)): + return True + return False +# return bool(sum(x.count('None') for x in board) == 0) + +def utility(board): + """ + Returns 1 if X has won the game, -1 if O has won, 0 otherwise. + """ + if (3 in countmarks(board)[0]): + return 1 + elif (-3 in countmarks(board)[0]): + return -1 + else: + return 0 + +def checklines(board,val): + X0 = countmarks(board) + #print(f"marks: {X0[0]}") + lines2check = X0[1] + checkline = X0[0] + + if val in checkline: + ind3 = checkline.index(val) + j = lines2check[ind3] + out = [] + for ind in j: + out.append((ind//3,ind%3)) + return out + return None + +def minimax(board): + """ + Returns the optimal action for the current player on the board. + """ + # board as a 1D list + boardFlat = [j for sub in board for j in sub] + + # If the game is over, no need to lookfor anything + if terminal(board): + return None +# # If there is only one play, always play at the one corner +# if boardFlat.count(EMPTY) == 8: +# possibleactions = actions(board) +# recommactions = {(1,1),(0,0),(0,2),(2,0),(2,2)} +# for act1 in possibleactions: +# for act2 in recommactions: +# if act1 == act2: +# return act1 + #If AI makes the first move, always play at the center + if boardFlat.count(EMPTY) == 9: + return (1,1) + #If there is one single empty cell, there is no need to lookfor anything + if boardFlat.count(EMPTY) == 1: + ind = boardFlat.index(EMPTY) + return (ind//3,ind%3) + + # minmax search + while not terminal(board): + P = player(board) + possibleactions = actions(board) + sgn = 1 if P == X else -1 + recommactions = checklines(board,2*sgn) + if recommactions is not None: + for act1 in possibleactions: + for act2 in recommactions: + if act1 == act2: + return act1 + return possibleactions.pop() + else: + recommactions = checklines(board,-2*sgn) + if recommactions is not None: + for act1 in possibleactions: + for act2 in recommactions: + if act1 == act2: + return act1 + return possibleactions.pop() + else: + recommactions = checklines(board,sgn) + if recommactions is not None: + for act1 in possibleactions: + for act2 in recommactions: + if act1 == act2: + return act1 + return possibleactions.pop() + else: + recommactions = checklines(board,-1*sgn) + if recommactions is not None: + for act1 in possibleactions: + for act2 in recommactions: + if act1 == act2: + return act1 + return possibleactions.pop() + return None + +def countmarks(board): + # Counts the number of Xs and Os in the board + + # board as a 1D list + boardFlat = [j for sub in board for j in sub] + + # list of coordinates to check (lines) + LinesCoord = [] + LinesCoord.append((0,1,2)) + LinesCoord.append((3,4,5)) + LinesCoord.append((6,7,8)) + LinesCoord.append((0,3,6)) + LinesCoord.append((1,4,7)) + LinesCoord.append((2,5,8)) + LinesCoord.append((0,4,8)) + LinesCoord.append((2,4,6)) + # LinesCoord=[(0, 1, 2), (3, 4, 5), (6, 7, 8), (0, 3, 6), (1, 4, 7), (2, 5, 8), (0, 4, 8), (2, 4, 6)] + + # lines contains the number of Xs or Os per line in LinesCoord + # e.g. lines = [0, 0, 2, 1, 0, 1, 1, -1] + # | + ################## one more X than O in the first vertical line + lines = [] + for item in LinesCoord: + lines.append([boardFlat[i] for i in item].count(X)-[boardFlat[i] for i in item].count(O)) + return [lines,LinesCoord] + +class InvalidMoveException(Exception): + "Raised when the input value is not a valid move at the tictactoe game" + pass + +board = initial_state() #Original board +while not terminal(board): #while game isn't over + P = player(board) + counter = 0 + action = None + # If the game is starting, always play at the center + boardFlat = [j for sub in board for j in sub] #Flattening the board to count marks + if boardFlat.count(EMPTY) == 9: + action = (1,1) + Newboard = copy.deepcopy(board) #base board to explore search tree + while action is None: #action is None while minmax is still looking for a move (computer thinking) + if counter == 0:#For the first move, we create another board + Newitboard = copy.deepcopy(Newboard) #board used to explore each branch of the tree + else: #If not the beginning of the branch, we should remove NotB from Newitboard + #Remove NotB from Newitboard + NewitboardFlat = [j for sub in Newitboard for j in sub]# Make board an 1D list + if NotB in NewitboardFlat: + i = NewitboardFlat.index(NotB) + NewitboardFlat[i] = EMPTY #Remove NotB mark + Newitboard = [[None for i in range(3)] for i in range(3)]#Make board a 2D list again + for i in range(3): + Newitboard[i] = NewitboardFlat[3*i:3*i+3] + + if terminal(Newitboard):#if this action ends the game and P winned, this is the right action and the cycle ends + W = winner(Newitboard) + if W == P: + action = candaction + elif W is None:#if P doesn't win, but the result is a tie, we take it as a tentative action. We should continue checking for a winner action + tempaction = candaction + counter = 0 + else: #If P loses, end of the branch + counter = 0 + + else: + NewP = player(Newitboard) #player looking ahead + candaction = minimax(Newitboard) #possible action + Newitboard = result(Newitboard,(candaction,NewP)) + + if counter == 0:#if this candaction doesn't end the game and it is the root of the tree, we check the cell with NotB, for the minmax function doesn't play there + Newboard = result(Newboard,(candaction,NotB)) + + counter += 1# Number of plays while looking for moves using minmax + + #Newitboard = result(Newboard,(candaction,NewP)) #if it isn't the first move, we uncheck the cell, for the minmax function could play there + #Newboard = result(Newboard,(action,P)) +# action = minimax(board) + board = result(board,(action,P)) +winplayer = winner(board)