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AI TTT merge to ServerManager branche (#24)
* AI made and also a minor change to core board * Minor changes to the AI, Gamebase changed a little to make some stuff public for usability, TTT changed a few things to public too and making the tests for the AI * New test on the AI * fixed some questionable styling in my code * fixed some questionable styling in omar's code! * fixed some questionable styling in omar's code! v2 * Update src/main/java/org/toop/game/MinMaxTTT.java * Wrong value, was 9x9 grid, is now 3x3 grid --------- Co-authored-by: michiel <m.brands.3@st.hanze.nl>
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2
.idea/misc.xml
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2
.idea/misc.xml
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@@ -13,7 +13,7 @@
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</list>
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</list>
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</option>
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</option>
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</component>
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</component>
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<component name="ProjectRootManager" version="2" languageLevel="JDK_X" project-jdk-name="openjdk-24" project-jdk-type="JavaSDK">
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<component name="ProjectRootManager" version="2" languageLevel="JDK_24" project-jdk-name="openjdk-24" project-jdk-type="JavaSDK">
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<output url="file://$PROJECT_DIR$/out" />
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<output url="file://$PROJECT_DIR$/out" />
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</component>
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</component>
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</project>
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</project>
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@@ -2,10 +2,10 @@ package org.toop.game;
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public abstract class GameBase {
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public abstract class GameBase {
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protected Player[] players;
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protected Player[] players;
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protected int currentPlayer;
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public int currentPlayer;
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protected int size;
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protected int size;
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protected char[] grid;
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public char[] grid;
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public GameBase(int size) {
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public GameBase(int size) {
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currentPlayer = 0;
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currentPlayer = 0;
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@@ -18,22 +18,22 @@ public abstract class GameBase {
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}
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}
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}
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}
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public Player[] Players() {
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public Player[] getPlayers() {
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return players;
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return players;
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}
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}
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public Player CurrentPlayer() {
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public Player getCurrentPlayer() {
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return players[currentPlayer];
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return players[currentPlayer];
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}
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}
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public int Size() {
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public int getSize() {
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return size;
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return size;
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}
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}
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public char[] Grid() {
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public char[] getGrid() {
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return grid;
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return grid;
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}
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}
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public abstract boolean ValidateMove(int index);
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public abstract boolean validateMove(int index);
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public abstract State PlayMove(int index);
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public abstract State playMove(int index);
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}
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}
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100
src/main/java/org/toop/game/MinMaxTTT.java
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100
src/main/java/org/toop/game/MinMaxTTT.java
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@@ -0,0 +1,100 @@
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package org.toop.game;
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import org.apache.logging.log4j.LogManager;
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import org.apache.logging.log4j.Logger;
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import org.toop.Main;
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/*
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* TTT = TIC TAC TOE FOR THE LESS EDUCATED POPULATION ON THIS CODE
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*/
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public class MinMaxTTT {
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private static final Logger logger = LogManager.getLogger(Main.class);
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public int findBestMove(TTT game) {
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/**
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* This method tries to find the best move by seeing if it can set a winning move, if not, it will do a minimax.
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*/
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int bestVal = -100; // set bestval to something impossible
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int bestMove = 10; // set bestmove to something impossible
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// simulate all possible moves on the field
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for (int i = 0; i < game.grid.length; i++) {
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if (game.validateMove(i)) { // check if the move is legal here
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TTT copyGame = game.copyBoard(); // make a copy of the game
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State result = copyGame.playMove(i); // play a move on the copy board
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int thisMoveValue;
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if (result == State.WIN) {
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return i; // just return right away if you can win on the next move
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}
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else {
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thisMoveValue = doMinimax(copyGame, 8, false); // else look at other moves
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}
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if (thisMoveValue > bestVal) { // if better move than the current best, change the move
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bestVal = thisMoveValue;
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bestMove = i;
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}
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}
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}
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return bestMove; // return the best move when we've done everything
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}
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public int doMinimax(TTT game, int depth, boolean maximizing) {
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/**
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* This method simulates all the possible future moves in the game through a copy in search of the best move.
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*/
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boolean state = game.checkWin(); // check for a win (base case stuff)
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if (state) {
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if (maximizing) {
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// its the maximizing players turn and someone has won. this is not good, so return a negative value
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return -10 + depth;
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} else {
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// it is the turn of the ai and it has won! this is good for us, so return a positive value above 0
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return 10 - depth;
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}
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}
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else {
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boolean empty = false;
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for (char cell : game.grid) { // else, look at draw conditions. we check per cell if its empty or not
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if (cell == ' ') {
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empty = true; // if a thing is empty, set to true
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break; // break the loop
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}
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}
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if (!empty || depth == 0) { // if the grid is full or the depth is 0 (both meaning game is over) return 0 for draw
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return 0;
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}
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}
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if (maximizing) { // its the maximizing players turn, the AI
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int bestVal = -100; // set the value to lowest as possible
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for (int i = 0; i < game.grid.length; i++) { // loop through the grid
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if (game.validateMove(i)) {
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TTT copyGame = game.copyBoard();
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copyGame.playMove(i); // play the move on a copy board
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int value = doMinimax(copyGame, depth - 1, false); // keep going with the minimax
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bestVal = Math.max(bestVal, value); // select the best value for the maximizing player (the AI)
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}
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}
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return bestVal;
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}
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else { // it's the minimizing players turn, the player
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int bestVal = 100; // set the value to the highest possible
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for (int i = 0; i < game.grid.length; i++) { // loop through the grid
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if (game.validateMove(i)) {
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TTT copyGame = game.copyBoard();
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copyGame.playMove(i); // play the move on a copy board
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int value = doMinimax(copyGame, depth - 1, true); // keep minimaxing
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bestVal = Math.min(bestVal, value); // select the lowest score for the minimizing player, they want to make it hard for us
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}
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}
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return bestVal;
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}
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}
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}
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@@ -1,10 +1,15 @@
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package org.toop.game;
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package org.toop.game;
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import org.apache.logging.log4j.LogManager;
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import org.apache.logging.log4j.Logger;
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import org.toop.Main;
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public class TTT extends GameBase {
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public class TTT extends GameBase {
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private int moveCount;
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public int moveCount;
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private static final Logger logger = LogManager.getLogger(Main.class);
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public TTT(String player1, String player2) {
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public TTT(String player1, String player2) {
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super(9);
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super(3); // 3x3 Grid
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players = new Player[2];
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players = new Player[2];
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players[0] = new Player(player1, 'X');
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players[0] = new Player(player1, 'X');
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players[1] = new Player(player2, 'O');
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players[1] = new Player(player2, 'O');
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@@ -13,7 +18,7 @@ public class TTT extends GameBase {
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}
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}
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@Override
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@Override
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public boolean ValidateMove(int index) {
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public boolean validateMove(int index) {
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if (index < 0 || index > (size * size - 1)) {
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if (index < 0 || index > (size * size - 1)) {
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return false;
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return false;
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}
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}
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@@ -22,15 +27,15 @@ public class TTT extends GameBase {
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}
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}
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@Override
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@Override
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public State PlayMove(int index) {
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public State playMove(int index) {
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if (!ValidateMove(index)) {
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if (!validateMove(index)) {
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return State.INVALID;
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return State.INVALID;
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}
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}
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grid[index] = players[currentPlayer].Move();
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grid[index] = players[currentPlayer].Move();
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moveCount += 1;
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moveCount += 1;
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if (CheckWin()) {
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if (checkWin()) {
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return State.WIN;
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return State.WIN;
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}
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}
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@@ -42,7 +47,7 @@ public class TTT extends GameBase {
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return State.NORMAL;
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return State.NORMAL;
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}
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}
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private boolean CheckWin() {
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public boolean checkWin() {
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// Horizontal
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// Horizontal
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for (int i = 0; i < 3; i++) {
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for (int i = 0; i < 3; i++) {
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int index = i * 3;
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int index = i * 3;
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@@ -73,4 +78,15 @@ public class TTT extends GameBase {
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return false;
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return false;
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}
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}
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public TTT copyBoard() {
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/**
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* This method copies the board, mainly for AI use.
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*/
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TTT clone = new TTT(players[0].Name(), players[1].Name());
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System.arraycopy(this.grid, 0, clone.grid, 0, this.grid.length);
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clone.moveCount = this.moveCount;
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clone.currentPlayer = this.currentPlayer;
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return clone;
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}
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}
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}
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78
src/test/java/MinMaxTTTTest.java
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78
src/test/java/MinMaxTTTTest.java
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import org.junit.jupiter.api.Test;
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import org.toop.game.MinMaxTTT;
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import org.toop.game.TTT;
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import static org.junit.jupiter.api.Assertions.*;
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class MinMaxTTTTest {
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// makegame makes a board situation so we can test the ai. thats it really, the rest is easy to follow id say
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private TTT makeGame(String board, int currentPlayer) {
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TTT game = new TTT("AI", "Human");
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// Fill the board
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for (int i = 0; i < board.length(); i++) {
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char c = board.charAt(i);
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game.grid[i] = c;
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if (c != ' ') game.moveCount++;
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}
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game.currentPlayer = currentPlayer;
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return game;
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}
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@Test
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void testFindBestMove_AIImmediateWin() {
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TTT game = makeGame("XX OO ", 0);
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MinMaxTTT ai = new MinMaxTTT();
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int bestMove = ai.findBestMove(game);
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assertEquals(2, bestMove, "AI has to take winning move at 2");
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}
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@Test
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void testFindBestMove_BlockOpponentWin() {
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TTT game = makeGame("OO X ", 0); // 0 = AI's turn
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MinMaxTTT ai = new MinMaxTTT();
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int bestMove = ai.findBestMove(game);
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assertEquals(2, bestMove, "AI should block opponent win at 2");
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}
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@Test
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void testFindBestMove_ChooseDrawIfNoWin() {
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TTT game = makeGame("XOXOX O ", 0);
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MinMaxTTT ai = new MinMaxTTT();
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int bestMove = ai.findBestMove(game);
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assertTrue(bestMove == 6 || bestMove == 8, "AI should draw");
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}
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@Test
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void testMinimax_ScoreWin() {
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TTT game = makeGame("XXX ", 0);
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MinMaxTTT ai = new MinMaxTTT();
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int score = ai.doMinimax(game, 5, false);
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assertTrue(score > 0, "AI win scored positively");
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}
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@Test
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void testMinimax_ScoreLoss() {
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TTT game = makeGame("OOO ", 1);
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MinMaxTTT ai = new MinMaxTTT();
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int score = ai.doMinimax(game, 5, true);
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assertTrue(score < 0, "AI loss is negative");
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}
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@Test
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void testMinimax_ScoreDraw() {
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TTT game = makeGame("XOXOXOOXO", 0);
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MinMaxTTT ai = new MinMaxTTT();
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int score = ai.doMinimax(game, 5, true);
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assertEquals(0, score, "Draw should be zero!");
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}
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@Test
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void testMiniMax_MultipleMoves() {
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TTT game = makeGame(" X OX O ", 0);
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MinMaxTTT ai = new MinMaxTTT();
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int bestMove = ai.findBestMove(game);
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assertTrue(bestMove == 0 || bestMove == 2, "Can look at multiple moves!");
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}
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}
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