/************************************************************************\
|* gtf is a framework for analyzing two-player zero-sum games           *|
|* Copyright (C) 2005 Troels Bjerre Sorensen                            *|
|*                                                                      *|
|* This program is free software; you can redistribute it and/or modify *|
|* it under the terms of the GNU General Public License as published by *|
|* the Free Software Foundation; either version 2 of the License, or    *|
|* (at your option) any later version.                                  *|
|*                                                                      *|
|* This program is distributed in the hope that it will be useful, but  *|
|* WITHOUT ANY WARRANTY; without even the implied warranty of           *|
|* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU    *|
|* General Public License for more details.                             *|
|*                                                                      *|
|* You should have received a copy of the GNU General Public License    *|
|* along with this program; if not, write to the                        *|
|* Free Software Foundation, Inc., 59 Temple Place - Suite 330,         *|
|* Boston, MA 02111-1307, USA.                                          *|
\************************************************************************/

package gtf;

import gtf.game.*;
import gtf.util.*;
import java.io.*;
import java.util.*;

public class ValueVisitor<T extends Real<T>> extends RealizationVisitor {
	private Strategy<T> p1strategy, p2strategy;
	private T value;

	public ValueVisitor(Strategy<T> strategy) { this(strategy, strategy); }
	
	public ValueVisitor(Strategy<T> p1strategy, Strategy<T> p2strategy) {
		this.p1strategy = p1strategy;
		this.p2strategy = p2strategy;
		value = p1strategy.ZERO;
	}

	public T getValue() {
		return value;
	}

	public void visitGameLeaf(GameLeaf leaf) {
		value = value.add(
				p1strategy.probOf(p1real).multiply(
					p2strategy.probOf(p2real).multiplyFrac(
						leaf.getValue().multiplyFrac(prob))));
	}
}