truc fonctionnel mais avec un retouchage dans l'API. dsl

javaAPI/.~lock.arena_results.csv#

@@ -0,0 +1 @@
+,vaisse,salle235-12,06.02.2026 11:29,file:///export/home/an23/vaisse/.config/libreoffice/4;

javaAPI/arena_results.csv

@@ -0,0 +1,7 @@
+Bot 1, Bot 2, Winner
+RandomBot,MiniMaxBot,WIN
+RandomBot,HeuristicBot,WIN
+RandomBot,MonteCarloBot,WIN
+MiniMaxBot,HeuristicBot,WIN
+MiniMaxBot,MonteCarloBot,WIN
+HeuristicBot,MonteCarloBot,WIN

javaAPI/fr/iut_fbleau/GameAPI/AbstractGamePlayer.java

@@ -26,5 +26,6 @@ public abstract class AbstractGamePlayer {
      * @throws IllegalStateException if the Situation is already in the bookmarks
      */
     public abstract AbstractPly giveYourMove(IBoard p);
+    public abstract Boolean jesuisMinimax();
 
 }

javaAPI/fr/iut_fbleau/HexGame/Arena.java

@@ -12,11 +12,13 @@ public class Arena {
 
     private List<AbstractGamePlayer> bots = new ArrayList<>();
     private FileWriter csvWriter;
+    private int board_size;
 
-    public Arena() {
+    public Arena(int size) {
         try {
             csvWriter = new FileWriter("arena_results.csv");
             csvWriter.append("Bot 1, Bot 2, Winner\n");
+            this.board_size = size;
         } catch (IOException e) {
             e.printStackTrace();
         }
@@ -51,12 +53,12 @@ public class Arena {
     }
 
     private Result playMatch(AbstractGamePlayer bot1, AbstractGamePlayer bot2) {
-        IBoard board = new HexBoard(11);
+        IBoard board = new HexBoard(this.board_size);
         EnumMap<Player, AbstractGamePlayer> players = new EnumMap<>(Player.class);
         players.put(Player.PLAYER1, bot1);
         players.put(Player.PLAYER2, bot2);
 
         Simulation simulation = new Simulation(board, players);
-        return simulation.run();
+        return simulation.runForArena();
     }
 }

javaAPI/fr/iut_fbleau/HexGame/ArenaMain.java

@@ -4,8 +4,12 @@ import fr.iut_fbleau.GameAPI.Player;
 
 public class ArenaMain {
     public static void main(String[] args) {
-        Arena arena = new Arena();
-        arena.addBot(new RandomBot(Player.PLAYER1, 12345L));  // Correct constructor usage
+        int size = 7;
+        if (args.length >= 1) {
+            try { size = Integer.parseInt(args[0]); } catch (NumberFormatException ignored) {}
+        }
+        Arena arena = new Arena(size);
+        arena.addBot(new RandomBot(Player.PLAYER1, 24015L));  // Correct constructor usage
         arena.addBot(new MiniMaxBot(Player.PLAYER2));
         arena.addBot(new HeuristicBot(Player.PLAYER1));
         arena.addBot(new MonteCarloBot(Player.PLAYER2));  // Correct constructor usage

javaAPI/fr/iut_fbleau/HexGame/HeuristicBot.java

@@ -8,6 +8,10 @@ public class HeuristicBot extends AbstractGamePlayer {
         super(me);  // Correct constructor usage
     }
 
+    public Boolean jesuisMinimax(){
+        return false;
+    }
+
     @Override
     public AbstractPly giveYourMove(IBoard board) {
         HexBoard hb = (HexBoard) board;
@@ -35,10 +39,11 @@ public class HeuristicBot extends AbstractGamePlayer {
         int size = board.getSize();
         int center = size / 2;
         float score = 0;
+        //HexBoard simBoard = (HexBoard) board.safeCopy();
 
         for (int i = 0; i < size; i++) {
             for (int j = 0; j < size; j++) {
-                if (board.getPlayerAt(i, j) == Player.PLAYER1) {
+                if (board.getCellPlayer(i, j) == Player.PLAYER1) {
                     score += Math.abs(i - center) + Math.abs(j - center); // Distance from center
                 }
             }

javaAPI/fr/iut_fbleau/HexGame/HexMain.java

@@ -1,7 +1,6 @@
 package fr.iut_fbleau.HexGame;
 
 import fr.iut_fbleau.GameAPI.*;
-
 import java.util.EnumMap;
 import java.util.Scanner;
 
@@ -11,7 +10,7 @@ import java.util.Scanner;
 public class HexMain {
 
     public static void main(String[] args) {
-        int size = 11;
+        int size = 7;
         if (args.length >= 1) {
             try { size = Integer.parseInt(args[0]); } catch (NumberFormatException ignored) {}
         }
@@ -19,12 +18,19 @@ public class HexMain {
         HexBoard board = new HexBoard(size);
 
         Scanner sc = new Scanner(System.in);
+        Result res;
         EnumMap<Player, AbstractGamePlayer> players = new EnumMap<>(Player.class);
         players.put(Player.PLAYER1, new HumanConsolePlayer(Player.PLAYER1, sc));
         players.put(Player.PLAYER2, new HumanConsolePlayer(Player.PLAYER2, sc));
 
+
+        if (args.length>=2 && args[1].equals("autoplay")) {
+            Simulation sim = new Simulation(board, players);
+            res = sim.run(); 
+        } else {
             AbstractGame game = new AbstractGame(board, players) {};
-        Result res = game.run();
+            res = game.run();
+        }
 
         System.out.println(board);
         System.out.println("Résultat (du point de vue de PLAYER1) : " + res);

javaAPI/fr/iut_fbleau/HexGame/HumanConsolePlayer.java

@@ -18,6 +18,10 @@ public class HumanConsolePlayer extends AbstractGamePlayer {
         this.in = in;
     }
 
+    public Boolean jesuisMinimax(){
+        return false;
+    }
+
     @Override
     public AbstractPly giveYourMove(IBoard board) {
         if (!(board instanceof HexBoard)) {

javaAPI/fr/iut_fbleau/HexGame/MiniMaxBot.java

@@ -10,6 +10,10 @@ public class MiniMaxBot extends AbstractGamePlayer {
         super(me);  // Correct constructor usage
     }
 
+    public Boolean jesuisMinimax(){
+        return true;
+    }
+
     @Override
     public AbstractPly giveYourMove(IBoard board) {
         HexBoard hb = (HexBoard) board;
@@ -79,7 +83,7 @@ public class MiniMaxBot extends AbstractGamePlayer {
         int score = 0;
         for (int i = 0; i < size; i++) {
             for (int j = 0; j < size; j++) {
-                if (board.getPlayerAt(i, j) == Player.PLAYER1) {
+                if (board.getCellPlayer(i, j) == Player.PLAYER1) {
                     score += Math.abs(i - center) + Math.abs(j - center); // Distance from center
                 }
             }

javaAPI/fr/iut_fbleau/HexGame/MonteCarloBot.java

@@ -12,6 +12,10 @@ public class MonteCarloBot extends AbstractGamePlayer {
         super(me);  // Correct constructor usage
     }
 
+    public Boolean jesuisMinimax(){
+        return false;
+    }
+
     @Override
     public AbstractPly giveYourMove(IBoard board) {
         HexBoard hb = (HexBoard) board;
@@ -37,7 +41,7 @@ public class MonteCarloBot extends AbstractGamePlayer {
 
     private float monteCarloSimulation(HexBoard board) {
         RandomBot simBot = new RandomBot(Player.PLAYER1, new Random().nextLong());
-        HexBoard simBoard = board.safeCopy();
+        HexBoard simBoard = (HexBoard) board.safeCopy();
         int wins = 0;
         int simulations = 0;
 
@@ -51,7 +55,7 @@ public class MonteCarloBot extends AbstractGamePlayer {
                 wins++;
             }
             simulations++;
-            simBoard = board.safeCopy(); // Reset the board for the next simulation
+            simBoard = (HexBoard) board.safeCopy(); // Reset the board for the next simulation
         }
 
         return (float) wins / simulations;

javaAPI/fr/iut_fbleau/HexGame/RandomBot.java

@@ -19,6 +19,10 @@ public class RandomBot extends AbstractGamePlayer {
         this.rng = rng;
     }
 
+    public Boolean jesuisMinimax(){
+        return false;
+    }
+
     public RandomBot(Player me, long seed) {
         this(me, new Random(seed));
     }

javaAPI/fr/iut_fbleau/HexGame/Simulation.java

@@ -3,6 +3,7 @@ package fr.iut_fbleau.HexGame;
 import fr.iut_fbleau.GameAPI.*;
 import java.util.EnumMap;
 import java.util.LinkedList;
+import java.util.Random;
 
 
 public class Simulation extends AbstractGame {
@@ -27,18 +28,19 @@ public class Simulation extends AbstractGame {
 
     //METHODES
     /*Le jeu de Hex ne peut jamais finir avec le résultat null. En utilisant cette propriété, on peut avoir cet algorithme simplifié du monte-carlo*/
-    private float MonteCarlo(HexBoard position){
-        RandomBot simplay = new RandomBot();
-        HexBoard simpos = position.safeCopy(); 
+    private float MonteCarlo(HexBoard position, Player current){
+        RandomBot simplay = new RandomBot(current, new Random().nextLong());
+        HexBoard simpos = position; 
         LinkedList<Integer[]> ctaken = taken;
         HexPly testmove;
         float wins = 0;
         float losses = 0;
-
+        int count = 0;
         for(int i=0; i<EVALDEPTH; i++){
             while(!simpos.isGameOver()){
+                count++;
                 testmove = (HexPly) simplay.giveYourMove(simpos);
-                if(!ctaken.contains(t) && simpos.isLegal(testmove)){
+                if(!ctaken.contains(new Integer[]{testmove.getRow(), testmove.getCol()}) && simpos.isLegal(testmove)){
                     ctaken.add(new Integer[]{testmove.getRow(), testmove.getCol()});
                     simpos.doPly(testmove);
                     if(simpos.getResult()==Result.LOSS){
@@ -48,16 +50,16 @@ public class Simulation extends AbstractGame {
                     }
                 }
             }
-            simpos = position.safeCopy();
+            //System.out.println("count:"+count);
+            for (int j=0; j<count; j++) {
+                simpos.undoPly();
+            }
             ctaken = taken;
+            count = 0;
         }
-
-        if(wins>=losses){
-            return losses/wins;
-        } else {
-            return -(wins/losses);
-        }
-
+        //System.out.println("    wins : "+wins+"/losses : "+losses);
+        //System.out.println("    eval : "+(wins-losses)/EVALDEPTH);
+        return (wins-losses)/EVALDEPTH;
     }
 
     private float explMAX(HexBoard position, int depth){
@@ -66,7 +68,7 @@ public class Simulation extends AbstractGame {
         } else if (position.getResult()==Result.WIN){
             return 1.0f;
         } else if (depth==MAXDEPTH) {
-            return MonteCarlo(position);
+            return MonteCarlo(position, Player.PLAYER1);
         } else {
                 float bestcase = -1.0f;
                 HexPly bestcasemove;
@@ -108,7 +110,7 @@ public class Simulation extends AbstractGame {
         } else if (position.getResult()==Result.WIN){
             return 1.0f;
         } else if (depth==MAXDEPTH) {
-            return MonteCarlo(position);
+            return MonteCarlo(position, Player.PLAYER2);
         } else {
                 float bestcase = 1.0f;
                 HexPly bestcasemove;
@@ -145,37 +147,37 @@ public class Simulation extends AbstractGame {
     }
 
         private float explMAXAB(HexBoard position, int depth, float A, float B){
-        if (position.getResult() == Result.LOSS) {
+        if (position.getResult()==Result.LOSS) {
             return -1.0f;
-        } else if (position.getResult() == Result.WIN) {
+        } else if (position.getResult()==Result.WIN){
             return 1.0f;
-        } else if (depth == MAXDEPTH) {
-            return MonteCarlo(position);
+        } else if (depth==MAXDEPTH) {
+            return MonteCarlo(position, Player.PLAYER1);
         } else {
                 float bestcase = A;
                 HexPly bestcasemove;
                 HexPly testmove;
-            for (int i = 0; i < position.getSize(); i++) {
-                for (int j = 0; j < position.getSize(); j++) {
-                    if (depth == 0) {
+                for (int i=0; i<position.getSize(); i++) {
+                        for (int j=0; j<position.getSize(); j++) {
+                                if(depth==0){
                                     //System.out.println("MAX New Line :");
                                 }
                                 Integer[] t = new Integer[]{i, j}; 
                                 testmove = new HexPly(Player.PLAYER1, i, j);
-                    if (!taken.contains(t) && position.isLegal(testmove)) {
+                                if(!taken.contains(t) && position.isLegal(testmove)){
                                         //System.out.println("  MAX test move : "+Integer.toString(i)+","+Integer.toString(j));
                                         taken.add(t);
                                         position.doPly(testmove);
-                        float val = explMINAB(position, depth + 1, bestcase, B);
+                                        float val = explMINAB(position, depth+1, bestcase, B);  
                                         if (val >= bestcase) {
                                                 //System.out.println("     MAX new best case");
                                                 bestcase = val;
                                                 bestcasemove = testmove;
-                            if (depth == 0) {
+                                                if (depth==0) {
                                                     this.bestoutcome = bestcase;
                                                     this.bestmove = bestcasemove;
                                                 }
-                            if (bestcase >= B) {
+                                                if(bestcase>=B){
                                                     return bestcase;
                                                 }
                                         }
@@ -187,40 +189,38 @@ public class Simulation extends AbstractGame {
                 return bestcase;
         }
     }
-
-
-private float explMINAB(HexBoard position, int depth, float A, float B){
-    if (position.getResult() == Result.LOSS) {
+    private float explMINAB(HexBoard position, int depth, float A, float B){
+        if (position.getResult()==Result.LOSS) {
             return -1.0f;
-    } else if (position.getResult() == Result.WIN) {
+        } else if (position.getResult()==Result.WIN){
             return 1.0f;
-    } else if (depth == MAXDEPTH) {
-        return MonteCarlo(position);
+        } else if (depth==MAXDEPTH) {
+            return MonteCarlo(position, Player.PLAYER2);
         } else {
                 float bestcase = B;
                 HexPly bestcasemove;
                 HexPly testmove;
-        for (int i = 0; i < position.getSize(); i++) {
-            for (int j = 0; j < position.getSize(); j++) {
-                if (depth == 0) {
+                for (int i=0; i<position.getSize(); i++) {
+                        for (int j=0; j<position.getSize(); j++) {
+                                if(depth==0){
                                     //System.out.println("MIN New Line :");
                                 }
                                 Integer[] t = new Integer[]{i, j}; 
                                 testmove = new HexPly(Player.PLAYER2, i, j);
-                if (!taken.contains(t) && position.isLegal(testmove)) {
+                                if(!taken.contains(t) && position.isLegal(testmove)){
                                         //System.out.println("  MIN test move : "+Integer.toString(i)+","+Integer.toString(j));
                                         taken.add(t);
                                         position.doPly(testmove);
-                    float val = explMAXAB(position, depth + 1, A, bestcase);
+                                        float val = explMAXAB(position, depth+1, A, bestcase);  
                                         if (val <= bestcase) {
                                                 //System.out.println("     MIN new best case");
                                                 bestcase = val;
                                                 bestcasemove = testmove;
-                        if (depth == 0) {
+                                                if (depth==0) {
                                                     this.bestoutcome = bestcase;
                                                     this.bestmove = bestcasemove;
                                                 }
-                        if (bestcase <= A) {
+                                                if(bestcase<=A){
                                                     return bestcase;
                                                 }
                                         }
@@ -232,9 +232,7 @@ private float explMINAB(HexBoard position, int depth, float A, float B){
                 }
                 return bestcase;
         }
-}
-
-       
+    }  
 
 
     private AbstractPly GiveBestMove(IBoard board) {
@@ -269,5 +267,27 @@ private float explMINAB(HexBoard position, int depth, float A, float B){
 	    return simCurrentBoard.getResult();
     }
 
+    public Result runForArena(){
+        while(!simCurrentBoard.isGameOver()){
+            AbstractGamePlayer player = simmapPlayers.get(simCurrentBoard.getCurrentPlayer());
+            IBoard board = simCurrentBoard.safeCopy();
+            AbstractPly ply;
+            if(player.jesuisMinimax()){
+                ply = GiveBestMove(board);
+            } else {
+                ply = player.giveYourMove(board);
+            }
+            HexPly concretePly = (HexPly) ply;
+
+            if (simCurrentBoard.isLegal(ply)) {
+                simCurrentBoard.doPly(ply);
+                taken.add(new Integer[]{concretePly.getRow(), concretePly.getCol()});
+                System.out.println("Player "+player+" goes ("+concretePly.getRow()+","+concretePly.getCol()+")");
+            }
+            else throw new IllegalStateException("Player "+ player + " is a bloody cheat. He tried playing : "+concretePly.getRow()+","+concretePly.getCol()+" I give up.");
+        }
+        return simCurrentBoard.getResult();
+    }
+
     
 }