Beginning to implement neural net training. Fixed bugs in SGF/LaTeX export.

src/net/woodyfolsom/msproj/Action.java

@@ -77,6 +77,48 @@ public class Action {
 		return this == Action.RESIGN;
 	}
 	
+	public static Action parseSGF(String sgfCoord, int boardSize) {
+		if (sgfCoord.length() == 0) {
+			return Action.PASS;
+		}
+		StringBuilder sb = new StringBuilder();
+		char column = sgfCoord.charAt(0);
+		if (column >= 'i') {
+			sb.append((char) (column + 1));
+		} else {
+			sb.append(column);
+		}
+		char row = sgfCoord.charAt(1);
+		sb.append(boardSize - row + 'a');
+		return Action.getInstance(sb.toString().toUpperCase());
+	}
+	
+	public String toLatex(int boardSize) {
+		if (isPass() || isNone() || isResign()) {
+			throw new UnsupportedOperationException("Invalid Action for toLatex() call: " + this);
+		}
+		String latex = new String(new char[] {column}).toLowerCase();
+		latex += row;
+		return latex;
+	}
+	
+	public String toSGF(int boardSize) {
+		if (isNone() || isResign()) {
+			throw new UnsupportedOperationException("Invalid Action for toLatex() call: " + this);
+		}
+		if (isPass()) {
+			return ""; // or 'tt' in old format
+		}
+		char[] latex = new char[2];
+		if (column >= 'J') {
+			latex[0] = (char) (column - 1);
+		} else {
+			latex[0] = column;
+		}
+		latex[1] = (char)('a' + (boardSize - row));
+		return new String(latex).toLowerCase();
+	}
+	
 	@Override
 	public String toString() {
 		return move;

src/net/woodyfolsom/msproj/GameResult.java

@@ -44,6 +44,29 @@ public class GameResult {
 		return blackScore;
 	}
 
+	public String getFullText() {
+		double blackScore = getBlackScore();
+		double whiteScore = getWhiteScore();
+
+		switch (resultType) {
+		case BLACK_BY_RESIGNATION:
+			return "Black wins by resignation";
+		case WHITE_BY_RESIGNATION:
+			return "White wins by resignation";
+		case IN_PROGRESS:
+		case VOID:
+			return "Game in progress";
+		case SCORED:
+			if (blackScore > whiteScore) {
+				return "Black wins by " + (blackScore - whiteScore);
+			} else {
+				return "White wins by " + (whiteScore - blackScore);
+			}
+		default:
+			return "Unknown game result";
+		}
+	}
+
 	public int getNormalizedZeroScore() {
 		return normalizedZeroScore;
 	}

src/net/woodyfolsom/msproj/LatexWriter.java

@@ -0,0 +1,46 @@
+package net.woodyfolsom.msproj;
+
+import java.io.IOException;
+import java.io.OutputStream;
+import java.io.OutputStreamWriter;
+
+public class LatexWriter {
+
+	public static void write(OutputStream os, GameRecord gameRecord,
+			int turnNumber) throws IOException {
+		OutputStreamWriter writer = new OutputStreamWriter(os);
+
+		int boardSize = gameRecord.getGameConfig().getSize();
+
+		writer.write("\\begin{figure}[h]\n");
+		writer.write("\\black{");
+		boolean firstMove = true;
+		for (int turn = 1; turn <= gameRecord.getNumTurns(); turn+=2) {
+			if (!firstMove) {
+				writer.write(",");
+			}
+			writer.write(gameRecord.getMove(turn).toLatex(boardSize));
+			firstMove = false;
+		}
+		writer.write("}\n");
+		
+		writer.write("\\white{");
+		firstMove = true;
+		for (int turn = 2; turn <= gameRecord.getNumTurns(); turn+=2) {
+			if (!firstMove) {
+				writer.write(",");
+			}
+			writer.write(gameRecord.getMove(turn).toLatex(boardSize));
+			firstMove = false;
+		}
+		writer.write("}\n");
+		
+		writer.write("\\begin{center}\n");
+		writer.write("\\gobansize{" + boardSize + "}\n");
+		writer.write("\\shortstack{\\showfullgoban\\\\"
+				+ gameRecord.getResult().getFullText() + "}\n");
+		writer.write("\\end{center}\n");
+		writer.write("\\end{figure}\n");
+		writer.flush();
+	}
+}

src/net/woodyfolsom/msproj/Referee.java

@@ -3,11 +3,20 @@ package net.woodyfolsom.msproj;
 import java.io.File;
 import java.io.FileOutputStream;
 import java.io.IOException;
+import java.io.InputStream;
 import java.text.DateFormat;
 import java.text.SimpleDateFormat;
 import java.util.Date;
 
+import org.antlr.runtime.ANTLRInputStream;
+import org.antlr.runtime.ANTLRStringStream;
+import org.antlr.runtime.CommonTokenStream;
+import org.antlr.runtime.RecognitionException;
+
 import net.woodyfolsom.msproj.policy.Policy;
+import net.woodyfolsom.msproj.sgf.SGFLexer;
+import net.woodyfolsom.msproj.sgf.SGFNodeCollection;
+import net.woodyfolsom.msproj.sgf.SGFParser;
 
 public class Referee {
 	private Policy blackPolicy;
@@ -35,6 +44,25 @@ public class Referee {
 		}
 	}
 
+	public static GameRecord replay(InputStream sgfInputStream) throws IOException, RecognitionException {
+		ANTLRStringStream in = new ANTLRInputStream(sgfInputStream);
+		SGFLexer lexer = new SGFLexer(in);
+		CommonTokenStream tokens = new CommonTokenStream(lexer);
+		SGFParser parser = new SGFParser(tokens);
+		SGFNodeCollection nodeCollection = parser.collection();
+		
+		//parse sgf header
+		GameConfig gameConfig = nodeCollection.getGameConfig();
+		GameRecord gameRecord = new GameRecord(gameConfig);
+		
+		//replay sgf moves, throw exception if moves are illegal
+		for (Action action : nodeCollection.getMoves(gameConfig.getSize())) {
+			gameRecord.play(gameRecord.getPlayerToMove(), action);
+		}
+		
+		return gameRecord;
+	}
+	
 	public GameResult play(GameConfig gameConfig) {
 		GameRecord gameRecord = new GameRecord(gameConfig);
 		

src/net/woodyfolsom/msproj/SGFWriter.java

@@ -33,9 +33,7 @@ public class SGFWriter {
 			if (action.isPass()) {
 				sgfCoord = "";
 			} else {
-				sgfCoord = action.toString().toLowerCase().substring(0,1);
+				sgfCoord = action.toSGF(gameConfig.getSize());
-				char row = (char) ('a' + gameConfig.getSize() - Integer.valueOf(action.toString().substring(1)).intValue());
-				sgfCoord = sgfCoord + row;
 			}
 			writer.write(sgfCoord + "]");
 		}

src/net/woodyfolsom/msproj/StandAloneGame.java

@@ -1,6 +1,14 @@
 package net.woodyfolsom.msproj;
 
+import java.io.BufferedWriter;
+import java.io.File;
+import java.io.FileOutputStream;
+import java.io.FileWriter;
+import java.io.IOException;
+import java.text.DateFormat;
+import java.text.SimpleDateFormat;
 import java.util.ArrayList;
+import java.util.Date;
 import java.util.List;
 
 import net.woodyfolsom.msproj.gui.Goban;
@@ -12,12 +20,15 @@ import net.woodyfolsom.msproj.policy.RandomMovePolicy;
 import net.woodyfolsom.msproj.policy.RootParallelization;
 
 public class StandAloneGame {
+	private static final int DEFAULT_TURN_LENGTH = 2; // default turn is 2
+														// seconds;
+
 	private static final double DEFAULT_KOMI = 5.5;
 	private static final int DEFAULT_NUM_GAMES = 1;
 	private static final int DEFAULT_SIZE = 9;
 
 	enum PLAYER_TYPE {
-		HUMAN, HUMAN_GUI, ROOT_PAR, UCT_FAST, UCT_SLOW
+		HUMAN, HUMAN_GUI, ROOT_PAR, UCT_FAST, UCT_SLOW, RANDOM
 	};
 
 	public static void main(String[] args) {
@@ -40,7 +51,14 @@ public class StandAloneGame {
 			size = Integer.valueOf(args[2]);
 			break;
 		default:
-			System.out.println("Arguments #3-5 not specified.  Using default size=" + size +", komi = " + komi +", nGames=" + nGames +".");
+			System.out
+					.println("Arguments #3-5 not specified.  Using default size="
+							+ size
+							+ ", komi = "
+							+ komi
+							+ ", nGames="
+							+ nGames
+							+ ".");
 		}
 		new StandAloneGame().playGame(parsePlayerType(args[0]),
 				parsePlayerType(args[1]), size, komi, nGames);
@@ -58,6 +76,8 @@ public class StandAloneGame {
 			return PLAYER_TYPE.HUMAN;
 		} else if ("HUMAN_GUI".equalsIgnoreCase(playerTypeStr)) {
 			return PLAYER_TYPE.HUMAN_GUI;
+		} else if ("RANDOM".equalsIgnoreCase(playerTypeStr)) {
+			return PLAYER_TYPE.RANDOM;
 		} else {
 			throw new RuntimeException("Unknown player type: " + playerTypeStr);
 		}
@@ -70,34 +90,90 @@ public class StandAloneGame {
 		gameConfig.setKomi(komi);
 
 		Referee referee = new Referee();
-		referee.setPolicy(Player.BLACK, getPolicy(playerType1, gameConfig, Player.BLACK));
+		referee.setPolicy(Player.BLACK,
-		referee.setPolicy(Player.WHITE, getPolicy(playerType2, gameConfig, Player.WHITE));
+				getPolicy(playerType1, gameConfig, Player.BLACK));
+		referee.setPolicy(Player.WHITE,
+				getPolicy(playerType2, gameConfig, Player.WHITE));
 
-		List<GameResult> results = new ArrayList<GameResult>();
+		List<GameResult> round1results = new ArrayList<GameResult>();
 
 		for (int round = 0; round < rounds; round++) {
-			results.add(referee.play(gameConfig));
+			round1results.add(referee.play(gameConfig));
 		}
 
-		System.out.println("Cumulative results for " + rounds + " games (BLACK="
+		List<GameResult> round2results = new ArrayList<GameResult>();
-				+ playerType1 + ", WHITE=" + playerType2 + ")");
+
-		for (int i = 0; i < rounds; i++) {
+		referee.setPolicy(Player.BLACK,
-			System.out.println(i + ". " + results.get(i));
+				getPolicy(playerType2, gameConfig, Player.BLACK));
+		referee.setPolicy(Player.WHITE,
+				getPolicy(playerType1, gameConfig, Player.WHITE));
+		for (int round = 0; round < rounds; round++) {
+			round2results.add(referee.play(gameConfig));
 		}
+		
+		DateFormat dateFormat = new SimpleDateFormat("yyMMddHHmmssZ");
+
+		try {
+
+			File txtFile = new File("gotournament-" + dateFormat.format(new Date())
+					+ ".txt");
+			FileWriter writer = new FileWriter(txtFile);
+			
+			try {
+				logResults(writer, round1results, playerType1.toString(), playerType2.toString());
+				logResults(writer, round2results, playerType2.toString(), playerType1.toString());
+				
+				System.out
+					.println("Game tournament saved as " + txtFile.getAbsolutePath());
+			} finally {
+				try {
+					writer.close();
+				} catch (IOException ioe) {
+					ioe.printStackTrace();
+				}
+			}
+		} catch (IOException ioe) {
+			System.out.println("Unable to save game file due to IOException: "
+					+ ioe.getMessage());
+		}
+
 	}
 
-	private Policy getPolicy(PLAYER_TYPE playerType, GameConfig gameConfig, Player player) {
+	private void logResults(FileWriter writer, List<GameResult> results, String player1, String player2) throws IOException {
+		String header = "Cumulative results for " + results.size()
+				+ " games (BLACK=" + player1 + ", WHITE=" + player2
+				+ ")";
+		
+		System.out.println(header);
+		writer.write(header);
+		writer.write("\n");
+		
+		for (int i = 0; i < results.size(); i++) {
+			String resultLine = (i+1) + ". " + results.get(i);
+			System.out.println(resultLine);
+			writer.write(resultLine);
+			writer.write("\n");
+		}
+		writer.flush();
+	}
+	
+	private Policy getPolicy(PLAYER_TYPE playerType, GameConfig gameConfig,
+			Player player) {
 		switch (playerType) {
 		case HUMAN:
 			return new HumanKeyboardInput();
 		case HUMAN_GUI:
 			return new HumanGuiInput(new Goban(gameConfig, player));
 		case ROOT_PAR:
-			return new RootParallelization(4, 6000L);
+			return new RootParallelization(4, DEFAULT_TURN_LENGTH * 1000L * 3);
 		case UCT_SLOW:
-			return new MonteCarloUCT(new RandomMovePolicy(), 4000L);
+			return new MonteCarloUCT(new RandomMovePolicy(),
+					DEFAULT_TURN_LENGTH * 1000L * 3);
 		case UCT_FAST:
-			return new MonteCarloUCT(new RandomMovePolicy(), 1000L);
+			return new MonteCarloUCT(new RandomMovePolicy(),
+					DEFAULT_TURN_LENGTH * 1000L);
+		case RANDOM:
+			return new RandomMovePolicy();
 		default:
 			throw new IllegalArgumentException("Invalid PLAYER_TYPE: "
 					+ playerType);

src/net/woodyfolsom/msproj/ann/NeuralNetLearner.java

@@ -0,0 +1,15 @@
+package net.woodyfolsom.msproj.ann;
+
+import org.neuroph.core.NeuralNetwork;
+import org.neuroph.core.learning.SupervisedTrainingElement;
+import org.neuroph.core.learning.TrainingSet;
+
+public interface NeuralNetLearner {
+	void learn(TrainingSet<SupervisedTrainingElement> trainingSet);
+
+	void reset();
+
+	NeuralNetwork getNeuralNetwork();
+
+	void setNeuralNetwork(NeuralNetwork neuralNetwork);
+}

src/net/woodyfolsom/msproj/ann/PassLearner.java

@@ -6,6 +6,8 @@ import java.io.FileNotFoundException;
 import java.io.FilenameFilter;
 import java.io.IOException;
 
+import net.woodyfolsom.msproj.GameRecord;
+import net.woodyfolsom.msproj.Referee;
 import net.woodyfolsom.msproj.sgf.SGFLexer;
 import net.woodyfolsom.msproj.sgf.SGFNodeCollection;
 import net.woodyfolsom.msproj.sgf.SGFParser;
@@ -40,40 +42,18 @@ public class PassLearner {
 	}
 
 	public void parseSGF(File sgfFile) {
-		FileInputStream fis;
+		FileInputStream sgfInputStream;
 
 		try {
-			fis = new FileInputStream(sgfFile);
+			sgfInputStream = new FileInputStream(sgfFile);
-			ANTLRStringStream in;
+			GameRecord gameRecord = Referee.replay(sgfInputStream);
-			try {
+			//...
-				in = new ANTLRInputStream(fis);
-				SGFLexer lexer = new SGFLexer(in);
-				CommonTokenStream tokens = new CommonTokenStream(lexer);
-				SGFParser parser = new SGFParser(tokens);
-				SGFNodeCollection nodeCollection;
-				try {
-					nodeCollection = parser.collection();
-
-					System.out.println("To SGF:");
-					System.out.println(nodeCollection.toSGF());
-					System.out.println("");
-
-					System.out.println("To LaTeX:");
-					System.out.println(nodeCollection.toLateX());
-					System.out.println("");
-				} catch (RecognitionException re) {
-					re.printStackTrace();
-				}
-			} catch (IOException ioe) {
-				ioe.printStackTrace();
-			}
-			try {
-				fis.close();
-			} catch (IOException ioe) {
-				System.out.println("Error closing input stream for file" + sgfFile.getPath());
-			}
 		} catch (FileNotFoundException fnfe) {
 			fnfe.printStackTrace();
+		} catch (RecognitionException re) {
+			re.printStackTrace();
+		} catch (IOException ioe) {
+			ioe.printStackTrace();
 		}
 	}
 }

src/net/woodyfolsom/msproj/ann/XORLearner.java

@@ -0,0 +1,42 @@
+package net.woodyfolsom.msproj.ann;
+
+import org.neuroph.core.NeuralNetwork;
+import org.neuroph.core.learning.SupervisedTrainingElement;
+import org.neuroph.core.learning.TrainingSet;
+import org.neuroph.nnet.MultiLayerPerceptron;
+import org.neuroph.util.TransferFunctionType;
+
+/**
+ * Based on sample code from http://neuroph.sourceforge.net
+ * 
+ * @author Woody
+ * 
+ */
+public class XORLearner implements NeuralNetLearner {
+	private NeuralNetwork neuralNetwork;
+
+	public XORLearner() {
+		reset();
+	}
+
+	@Override
+	public NeuralNetwork getNeuralNetwork() {
+		return neuralNetwork;
+	}
+
+	@Override
+	public void learn(TrainingSet<SupervisedTrainingElement> trainingSet) {
+		this.neuralNetwork.learn(trainingSet);
+	}
+
+	@Override
+	public void reset() {
+		this.neuralNetwork = new MultiLayerPerceptron(
+				TransferFunctionType.TANH, 2, 3, 1);
+	}
+
+	@Override
+	public void setNeuralNetwork(NeuralNetwork neuralNetwork) {
+		this.neuralNetwork = neuralNetwork;
+	}
+}

src/net/woodyfolsom/msproj/sgf/SGFGameTree.java

@@ -4,7 +4,7 @@ import java.util.ArrayList;
 import java.util.Collections;
 import java.util.List;
 
-import net.woodyfolsom.msproj.Player;
+import net.woodyfolsom.msproj.Action;
 
 public class SGFGameTree {
 	private List<SGFNode> nodeSequence = new ArrayList<SGFNode>();
@@ -30,58 +30,30 @@ public class SGFGameTree {
 		subTrees.add(subTree);
 	}
 
-	public int getSubTreeCount() {
+	public List<Action> getMoves(int boardSize) {
-		return subTrees.size();
+		List<Action> moves = new ArrayList<Action>();
+		
+		for (SGFNode node : nodeSequence) {
+			SGFValue<?> sgfValue;
+			switch (node.getType()) {
+			case MOVE_BLACK :
+				sgfValue = node.getFirstValue(SGFIdentifier.MOVE_BLACK);
+				break;
+			case MOVE_WHITE :
+				sgfValue = node.getFirstValue(SGFIdentifier.MOVE_WHITE);
+				break;
+			default :
+				continue;
+			}
+			
+			moves.add(Action.parseSGF(sgfValue.getText(), boardSize));
+		}
+		
+		return moves;
 	}
 	
-	public String toLateXmoves(Player player, int boardSize) {
+	public int getSubTreeCount() {
-		StringBuilder latexSB = new StringBuilder();
+		return subTrees.size();
-		SGFNode.TYPE nodeType;
-		SGFIdentifier sgfIdent;
-		if (player == Player.WHITE) {
-			nodeType = SGFNode.TYPE.MOVE_WHITE;
-			sgfIdent = SGFIdentifier.MOVE_WHITE;
-			latexSB.append("\\white{");
-		} else if (player == Player.BLACK) {
-			nodeType = SGFNode.TYPE.MOVE_BLACK;
-			sgfIdent = SGFIdentifier.MOVE_BLACK;
-			latexSB.append("\\black{");
-		} else {
-			throw new RuntimeException("Invalid player: " + player);
-		}
-
-		boolean firstMove = true;
-		int nMoves = 0;
-		for (SGFNode node : nodeSequence) {
-			if (node.getType() != nodeType) {
-				continue;
-			}
-			SGFValue<?> sgfValue = node.getFirstValue(sgfIdent);
-			if (sgfValue.isEmpty()) {
-				// TODO later this will be the LaTeX igo code for 'Pass'?
-				continue;
-			}
-			if (firstMove) {
-				firstMove = false;
-			} else {
-				latexSB.append(",");
-			}
-			SGFCoord sgfCoord = (SGFCoord) sgfValue.getValue();
-			char column = sgfCoord.getColumn();
-			if (column >= 'i') {
-				latexSB.append((char) (column + 1));
-			} else {
-				latexSB.append(column);
-			}
-			char row = sgfCoord.getRow();
-			latexSB.append(boardSize - row + 'a');
-			nMoves++;
-		}
-		if (nMoves == 0) {
-			return "";
-		}
-		latexSB.append("}\n");
-		return latexSB.toString();
 	}
 
 	public int getBoardSize() {
@@ -97,33 +69,17 @@ public class SGFGameTree {
 		throw new RuntimeException("Cannot get board size: SGFNode with identifier SZ was not found in any nodeSequence of type ROOT.");
 	}
 	
-	public String toLateX(int boardSize) {
+	public double getKomi() {
-		StringBuilder latexSB = new StringBuilder();
-
-		// Somewhat convoluted logic here because the grammar does not require
-		// all root
-		// properties to be included in the same node in the tree's node
-		// sequence, although they should
-		// each be unique among all node sequences in the tree.
 		for (SGFNode node : nodeSequence) {
 			SGFNode.TYPE nodeType = node.getType();
 			switch (nodeType) {
 			case ROOT:
-				latexSB.append("\\gobansize");
+				return Double.parseDouble(node.getFirstValue(SGFIdentifier.KOMI).getText());
-				latexSB.append("{");
-				latexSB.append(boardSize);
-				latexSB.append("}\n");
-				latexSB.append("\\shortstack{\\showfullgoban\\\\");
-				SGFResult result = (SGFResult) node.getFirstValue(
-						SGFIdentifier.RESULT).getValue();
-				latexSB.append(result.getFullText());
-				latexSB.append("}\n");
-				break;
 			default:
 				// ignore
 			}
 		}
-		return latexSB.toString();
+		throw new RuntimeException("Cannot get board size: SGFNode with identifier KM was not found in any nodeSequence of type ROOT.");
 	}
 	
 	public String toSGF() {

src/net/woodyfolsom/msproj/sgf/SGFNodeCollection.java

@@ -3,7 +3,8 @@ package net.woodyfolsom.msproj.sgf;
 import java.util.ArrayList;
 import java.util.List;
 
-import net.woodyfolsom.msproj.Player;
+import net.woodyfolsom.msproj.Action;
+import net.woodyfolsom.msproj.GameConfig;
 
 public class SGFNodeCollection {
 	private List<SGFGameTree> gameTrees = new ArrayList<SGFGameTree>();
@@ -16,22 +17,21 @@ public class SGFNodeCollection {
 		return gameTrees.get(index);
 	}
 
+	public GameConfig getGameConfig() {
+		SGFGameTree gameTree = gameTrees.get(0);
+		int boardSize = gameTree.getBoardSize();
+		double komi = gameTree.getKomi();
+		
+		return new GameConfig(boardSize,komi);
+	}
+	
 	public int getGameTreeCount() {
 		return gameTrees.size();
 	}
 
-	public String toLateX() {
+	public List<Action> getMoves(int boardSize) {
-		StringBuilder latexFormatString = new StringBuilder("");
 		SGFGameTree gameTree = gameTrees.get(0);
-
+		return gameTree.getMoves(boardSize);
-		int boardSize = gameTree.getBoardSize();
-		latexFormatString.append(gameTree.toLateXmoves(Player.BLACK, boardSize));
-		latexFormatString.append(gameTree.toLateXmoves(Player.WHITE, boardSize));
-		latexFormatString.append("\\begin{center}\n");
-		latexFormatString.append(gameTree.toLateX(boardSize));
-		latexFormatString.append("\\end{center}");
-
-		return latexFormatString.toString();
 	}
 
 	/**

src/net/woodyfolsom/msproj/sgf/SGFResult.java

@@ -18,16 +18,6 @@ public class SGFResult {
 		}
 	}
 	
-	public String getFullText() {
-		if (resignation == false && tie == false) {
-			return winner.getColor() + " wins by " + score;
-		} else if (resignation == true && tie == false) {
-			return winner.getColor() + " wins by resignation";
-	    } else {
-			throw new UnsupportedOperationException("Not implemented");
-		}
-	}
-	
 	@Override
 	public String toString() {
 		if (resignation == false && tie == false) {

test/net/woodyfolsom/msproj/RefereeTest.java

@@ -0,0 +1,42 @@
+package net.woodyfolsom.msproj;
+
+import static org.junit.Assert.assertEquals;
+
+import java.io.File;
+import java.io.FileInputStream;
+import java.io.IOException;
+import java.io.InputStream;
+
+import org.antlr.runtime.RecognitionException;
+import org.junit.Test;
+
+public class RefereeTest {
+	//private static final String FILENAME = "data/tourney1/gogame-121115115720-0500.sgf";
+	private static final String FILENAME = "data/games/1334-gokifu-20120916-Gu_Li-Lee_Sedol.sgf";
+	
+	@Test
+	public void testReplay() throws IOException, RecognitionException {
+		File sgfFile = new File(FILENAME);
+		InputStream fis = new FileInputStream(sgfFile);
+
+		GameRecord gameRecord = Referee.replay(fis);
+
+		fis.close();
+		
+		//assertEquals(9, gameRecord.getGameConfig().getSize());
+		assertEquals(19, gameRecord.getGameConfig().getSize());
+		
+		//assertEquals(5.5, gameRecord.getGameConfig().getKomi(), 0.1);
+		assertEquals(7.5, gameRecord.getGameConfig().getKomi(), 0.1);
+		
+		//assertEquals(74, gameRecord.getNumTurns());
+		assertEquals(214, gameRecord.getNumTurns());
+		
+		System.out.println("Final board state (LaTeX): ");
+		LatexWriter.write(System.out, gameRecord, 214);
+		
+		System.out.println("Final board state (SGF): ");
+		SGFWriter.write(System.out, gameRecord);
+		
+	}
+}

test/net/woodyfolsom/msproj/ann/NeuralNetLearnerTest.java

@@ -0,0 +1,86 @@
+package net.woodyfolsom.msproj.ann;
+
+import java.io.File;
+import java.util.Arrays;
+
+import org.junit.AfterClass;
+import org.junit.BeforeClass;
+import org.junit.Test;
+import org.neuroph.core.NeuralNetwork;
+import org.neuroph.core.learning.SupervisedTrainingElement;
+import org.neuroph.core.learning.TrainingSet;
+
+public class NeuralNetLearnerTest {
+	private static final String FILENAME = "myMlPerceptron.nnet";
+
+	@AfterClass
+	public static void deleteNewNet() {
+		File file = new File(FILENAME);
+		if (file.exists()) {
+			file.delete();
+		}
+	}
+
+	@BeforeClass
+	public static void deleteSavedNet() {
+		File file = new File(FILENAME);
+		if (file.exists()) {
+			file.delete();
+		}
+	}
+
+	@Test
+	public void testLearnSaveLoad() {
+		NeuralNetLearner nnLearner = new XORLearner();
+
+		// create training set (logical XOR function)
+		TrainingSet<SupervisedTrainingElement> trainingSet = new TrainingSet<SupervisedTrainingElement>(
+				2, 1);
+		for (int x = 0; x < 1000; x++) {
+		trainingSet.addElement(new SupervisedTrainingElement(new double[] { 0,
+				0 }, new double[] { 0 }));
+		trainingSet.addElement(new SupervisedTrainingElement(new double[] { 0,
+				1 }, new double[] { 1 }));
+		trainingSet.addElement(new SupervisedTrainingElement(new double[] { 1,
+				0 }, new double[] { 1 }));
+		trainingSet.addElement(new SupervisedTrainingElement(new double[] { 1,
+				1 }, new double[] { 0 }));
+		}
+		
+		nnLearner.learn(trainingSet);
+		NeuralNetwork nnet = nnLearner.getNeuralNetwork();
+
+		TrainingSet<SupervisedTrainingElement> valSet = new TrainingSet<SupervisedTrainingElement>(
+				2, 1);
+		valSet.addElement(new SupervisedTrainingElement(new double[] { 0,
+				0 }, new double[] { 0 }));
+		valSet.addElement(new SupervisedTrainingElement(new double[] { 0,
+				1 }, new double[] { 1 }));
+		valSet.addElement(new SupervisedTrainingElement(new double[] { 1,
+				0 }, new double[] { 1 }));
+		valSet.addElement(new SupervisedTrainingElement(new double[] { 1,
+				1 }, new double[] { 0 }));
+		
+		System.out.println("Output from eval set (learned network):");
+		testNetwork(nnet, valSet);
+
+		nnet.save(FILENAME);
+		nnet = NeuralNetwork.load(FILENAME);
+		
+		System.out.println("Output from eval set (learned network):");
+		testNetwork(nnet, valSet);
+	}
+	
+	private void testNetwork(NeuralNetwork nnet, TrainingSet<SupervisedTrainingElement> trainingSet) {
+		for (SupervisedTrainingElement trainingElement : trainingSet.elements()) {
+
+			nnet.setInput(trainingElement.getInput());
+			nnet.calculate();
+			double[] networkOutput = nnet.getOutput();
+			System.out.print("Input: "
+					+ Arrays.toString(trainingElement.getInput()));
+			System.out.println(" Output: " + Arrays.toString(networkOutput));
+
+		}
+	}
+}

test/net/woodyfolsom/msproj/sgf/CollectionTest.java

@@ -1,6 +1,7 @@
 package net.woodyfolsom.msproj.sgf;
 
 import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertNotNull;
 
 import java.io.ByteArrayInputStream;
 import java.io.IOException;
@@ -15,6 +16,7 @@ public class CollectionTest {
 	public static final String TEST_SGF = 
 			"(;FF[4]SZ[9]KM[5.5]RE[W+6.5]"+
 			";W[ee];B[];W[])";
+	
 	public static final String TEST_LATEX =
 			"\\white{e5}\n" +
 			"\\begin{center}\n" +
@@ -48,8 +50,6 @@ public class CollectionTest {
         CommonTokenStream tokens = new CommonTokenStream(lexer);
         SGFParser parser = new SGFParser(tokens);
         SGFNodeCollection nodeCollection = parser.collection();
-        
+        assertNotNull(nodeCollection);
-        String actualLaTeX = nodeCollection.toLateX();
-        assertEquals(TEST_LATEX, actualLaTeX);
 	}
 }

test/net/woodyfolsom/msproj/sgf/SGFParserTest.java

@@ -25,11 +25,6 @@ public class SGFParserTest {
 		System.out.println("To SGF:");
 		System.out.println(nodeCollection.toSGF());
 		System.out.println("");
-
-		System.out.println("To LaTeX:");
-		System.out.println(nodeCollection.toLateX());
-		System.out.println("");
-
 	}
 	
 	@Test
@@ -45,10 +40,5 @@ public class SGFParserTest {
 		System.out.println("To SGF:");
 		System.out.println(nodeCollection.toSGF());
 		System.out.println("");
-
-		System.out.println("To LaTeX:");
-		System.out.println(nodeCollection.toLateX());
-		System.out.println("");
-
 	}
 }