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//==============================================================================
//
// Copyright (c) 2002-
// Authors:
// * Dave Parker <david.parker@comlab.ox.ac.uk> (University of Oxford)
//
//------------------------------------------------------------------------------
//
// This file is part of PRISM.
//
// PRISM 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.
//
// PRISM 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 PRISM; if not, write to the Free Software Foundation,
// Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
//
//==============================================================================
package simulator;
import java.util.*;
import parser.*;
import parser.ast.*;
import prism.*;
public class ChoiceSingleton implements Choice
{
protected String action;
protected List<Update> updates;
protected double probability;
protected Command command;
// Constructor
public ChoiceSingleton()
{
updates = new ArrayList<Update>(1);
}
// Set methods
public void setAction(String action)
{
this.action = action;
}
public void addUpdate(Update up)
{
updates.add(up);
}
public void setProbability(double probability)
{
this.probability = probability;
}
// Get methods
public int getModuleOrActionIndex()
{
return 0; // TODO
}
public String getModuleOrAction()
{
return null; // TODO
}
public int size()
{
return 1;
}
public int getIndexByProbabilitySum(double x)
{
return 0;
}
public String getAction()
{
return action;
}
public String getUpdateString(int i)
{
String s = "(";
for (Update up : updates)
s += up;
s += ")";
return s;
}
public State computeTarget(State oldState) throws PrismLangException
{
State newState = new State(oldState);
for (Update up : updates)
up.update(oldState, newState);
return newState;
}
public void computeTarget(State oldState, State newState) throws PrismLangException
{
for (Update up : updates)
up.update(oldState, newState);
}
public State computeTarget(int i, State oldState) throws PrismLangException
{
if (i == 0) return computeTarget(oldState);
else throw new PrismLangException("Choice does not have an element " + i);
}
public void computeTarget(int i, State oldState, State newState) throws PrismLangException
{
if (i == 0) computeTarget(oldState, newState);
else throw new PrismLangException("Choice does not have an element " + i);
}
public double getProbability()
{
return probability;
}
public double getProbability(int i)
{
return (i == 0) ? probability : -1;
}
public double getProbabilitySum()
{
return probability;
}
public Command getCommand()
{
return command;
}
public Command getCommand(int i)
{
return (i == 0) ? command : null;
}
@Override
public String toString()
{
return "-{" + ("".equals(action) ? "" : action+"," ) + probability + "}->" + updates;
}
}