par pitié
This commit is contained in:
@@ -3,6 +3,7 @@ package fr.iut_fbleau.HexGame;
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import fr.iut_fbleau.GameAPI.*;
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import java.util.EnumMap;
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import java.util.LinkedList;
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import java.util.Random;
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public class Simulation extends AbstractGame {
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@@ -27,18 +28,19 @@ public class Simulation extends AbstractGame {
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//METHODES
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/*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*/
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private float MonteCarlo(HexBoard position){
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RandomBot simplay = new RandomBot();
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HexBoard simpos = position.safeCopy();
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private float MonteCarlo(HexBoard position, Player current){
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RandomBot simplay = new RandomBot(current, new Random().nextLong());
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HexBoard simpos = position;
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LinkedList<Integer[]> ctaken = taken;
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HexPly testmove;
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float wins = 0;
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float losses = 0;
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int count = 0;
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for(int i=0; i<EVALDEPTH; i++){
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while(!simpos.isGameOver()){
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count++;
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testmove = (HexPly) simplay.giveYourMove(simpos);
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if(!ctaken.contains(t) && simpos.isLegal(testmove)){
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if(!ctaken.contains(new Integer[]{testmove.getRow(), testmove.getCol()}) && simpos.isLegal(testmove)){
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ctaken.add(new Integer[]{testmove.getRow(), testmove.getCol()});
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simpos.doPly(testmove);
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if(simpos.getResult()==Result.LOSS){
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@@ -48,16 +50,16 @@ public class Simulation extends AbstractGame {
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}
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}
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}
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simpos = position.safeCopy();
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//System.out.println("count:"+count);
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for (int j=0; j<count; j++) {
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simpos.undoPly();
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}
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ctaken = taken;
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count = 0;
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}
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if(wins>=losses){
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return losses/wins;
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} else {
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return -(wins/losses);
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}
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System.out.println(" wins : "+wins+"/losses : "+losses);
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System.out.println(" eval : "+(wins-losses)/EVALDEPTH);
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return (wins-losses)/EVALDEPTH;
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}
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private float explMAX(HexBoard position, int depth){
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@@ -66,7 +68,7 @@ public class Simulation extends AbstractGame {
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} else if (position.getResult()==Result.WIN){
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return 1.0f;
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} else if (depth==MAXDEPTH) {
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return MonteCarlo(position);
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return MonteCarlo(position, Player.PLAYER1);
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} else {
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float bestcase = -1.0f;
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HexPly bestcasemove;
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@@ -108,7 +110,7 @@ public class Simulation extends AbstractGame {
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} else if (position.getResult()==Result.WIN){
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return 1.0f;
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} else if (depth==MAXDEPTH) {
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return MonteCarlo(position);
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return MonteCarlo(position, Player.PLAYER2);
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} else {
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float bestcase = 1.0f;
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HexPly bestcasemove;
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@@ -145,94 +147,92 @@ public class Simulation extends AbstractGame {
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}
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private float explMAXAB(HexBoard position, int depth, float A, float B){
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if (position.getResult() == Result.LOSS) {
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if (position.getResult()==Result.LOSS) {
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return -1.0f;
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} else if (position.getResult() == Result.WIN) {
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} else if (position.getResult()==Result.WIN){
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return 1.0f;
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} else if (depth == MAXDEPTH) {
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return MonteCarlo(position);
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} else if (depth==MAXDEPTH) {
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return MonteCarlo(position, Player.PLAYER1);
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} else {
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float bestcase = A;
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HexPly bestcasemove;
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HexPly testmove;
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for (int i = 0; i < position.getSize(); i++) {
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for (int j = 0; j < position.getSize(); j++) {
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if (depth == 0) {
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//System.out.println("MAX New Line :");
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}
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Integer[] t = new Integer[]{i, j};
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testmove = new HexPly(Player.PLAYER1, i, j);
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if (!taken.contains(t) && position.isLegal(testmove)) {
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//System.out.println(" MAX test move : "+Integer.toString(i)+","+Integer.toString(j));
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taken.add(t);
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position.doPly(testmove);
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float val = explMINAB(position, depth + 1, bestcase, B);
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if (val >= bestcase) {
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//System.out.println(" MAX new best case");
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bestcase = val;
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bestcasemove = testmove;
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if (depth == 0) {
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this.bestoutcome = bestcase;
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this.bestmove = bestcasemove;
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}
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if (bestcase >= B) {
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return bestcase;
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}
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float bestcase = A;
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HexPly bestcasemove;
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HexPly testmove;
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for (int i=0; i<position.getSize(); i++) {
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for (int j=0; j<position.getSize(); j++) {
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if(depth==0){
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//System.out.println("MAX New Line :");
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}
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Integer[] t = new Integer[]{i, j};
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testmove = new HexPly(Player.PLAYER1, i, j);
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if(!taken.contains(t) && position.isLegal(testmove)){
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//System.out.println(" MAX test move : "+Integer.toString(i)+","+Integer.toString(j));
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taken.add(t);
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position.doPly(testmove);
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float val = explMINAB(position, depth+1, bestcase, B);
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if (val >= bestcase) {
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//System.out.println(" MAX new best case");
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bestcase = val;
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bestcasemove = testmove;
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if (depth==0) {
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this.bestoutcome = bestcase;
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this.bestmove = bestcasemove;
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}
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if(bestcase>=B){
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return bestcase;
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}
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}
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position.undoPly();
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taken.remove(t);
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}
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}
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position.undoPly();
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taken.remove(t);
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}
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}
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}
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return bestcase;
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return bestcase;
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}
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}
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private float explMINAB(HexBoard position, int depth, float A, float B){
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if (position.getResult() == Result.LOSS) {
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return -1.0f;
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} else if (position.getResult() == Result.WIN) {
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return 1.0f;
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} else if (depth == MAXDEPTH) {
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return MonteCarlo(position);
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} else {
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float bestcase = B;
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HexPly bestcasemove;
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HexPly testmove;
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for (int i = 0; i < position.getSize(); i++) {
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for (int j = 0; j < position.getSize(); j++) {
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if (depth == 0) {
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//System.out.println("MIN New Line :");
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}
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Integer[] t = new Integer[]{i, j};
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testmove = new HexPly(Player.PLAYER2, i, j);
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if (!taken.contains(t) && position.isLegal(testmove)) {
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//System.out.println(" MIN test move : "+Integer.toString(i)+","+Integer.toString(j));
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taken.add(t);
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position.doPly(testmove);
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float val = explMAXAB(position, depth + 1, A, bestcase);
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if (val <= bestcase) {
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//System.out.println(" MIN new best case");
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bestcase = val;
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bestcasemove = testmove;
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if (depth == 0) {
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this.bestoutcome = bestcase;
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this.bestmove = bestcasemove;
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private float explMINAB(HexBoard position, int depth, float A, float B){
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if (position.getResult()==Result.LOSS) {
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return -1.0f;
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} else if (position.getResult()==Result.WIN){
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return 1.0f;
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} else if (depth==MAXDEPTH) {
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return MonteCarlo(position, Player.PLAYER2);
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} else {
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float bestcase = B;
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HexPly bestcasemove;
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HexPly testmove;
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for (int i=0; i<position.getSize(); i++) {
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for (int j=0; j<position.getSize(); j++) {
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if(depth==0){
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//System.out.println("MIN New Line :");
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}
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Integer[] t = new Integer[]{i, j};
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testmove = new HexPly(Player.PLAYER2, i, j);
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if(!taken.contains(t) && position.isLegal(testmove)){
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//System.out.println(" MIN test move : "+Integer.toString(i)+","+Integer.toString(j));
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taken.add(t);
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position.doPly(testmove);
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float val = explMAXAB(position, depth+1, A, bestcase);
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if (val <= bestcase) {
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//System.out.println(" MIN new best case");
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bestcase = val;
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bestcasemove = testmove;
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if (depth==0) {
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this.bestoutcome = bestcase;
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this.bestmove = bestcasemove;
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}
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if(bestcase<=A){
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return bestcase;
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}
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}
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position.undoPly();
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taken.remove(t);
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}
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}
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if (bestcase <= A) {
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return bestcase;
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}
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}
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position.undoPly();
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taken.remove(t);
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}
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}
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return bestcase;
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}
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return bestcase;
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}
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}
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