/*******************************************************************************
* CogTool Copyright Notice and Distribution Terms
* CogTool 1.3, Copyright (c) 2005-2013 Carnegie Mellon University
* This software is distributed under the terms of the FSF Lesser
* Gnu Public License (see LGPL.txt).
*
* CogTool is free software; you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as published by
* the Free Software Foundation; either version 2.1 of the License, or
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*
* CogTool is distributed in the hope that it will be useful,
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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*
* You should have received a copy of the GNU Lesser General Public License
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*
* CogTool makes use of several third-party components, with the
* following notices:
*
* Eclipse SWT version 3.448
* Eclipse GEF Draw2D version 3.2.1
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* CLISP version 2.38
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package edu.cmu.cs.hcii.cogtool.model;
import java.util.ArrayList;
import java.util.Collection;
import java.util.Iterator;
import java.util.List;
import edu.cmu.cs.hcii.cogtool.util.ObjectLoader;
import edu.cmu.cs.hcii.cogtool.util.ObjectSaver;
/**
* Class that represents a distribution of nested TimePredictionResults.
*
* @author jcorn
*/
public class TimeDistributionPredictionResult extends TimePredictionResult
{
/**
* List for storing a set of TimePredictionResults
*/
protected List<APredictionResult> results;
public static final int edu_cmu_cs_hcii_cogtool_model_TimeDistributionPredictionResult_version = 0;
protected static final String resultsVAR = "results";
private static ObjectSaver.IDataSaver<TimeDistributionPredictionResult> SAVER =
new ObjectSaver.ADataSaver<TimeDistributionPredictionResult>() {
@Override
public int getVersion()
{
return edu_cmu_cs_hcii_cogtool_model_TimeDistributionPredictionResult_version;
}
@Override
public void saveData(TimeDistributionPredictionResult v, ObjectSaver saver)
throws java.io.IOException
{
saver.saveObject(v.results, resultsVAR);
}
};
public static void registerSaver()
{
ObjectSaver.registerSaver(TimeDistributionPredictionResult.class.getName(),
SAVER);
}
private static ObjectLoader.IObjectLoader<TimeDistributionPredictionResult> LOADER =
new ObjectLoader.AObjectLoader<TimeDistributionPredictionResult>() {
@Override
public TimeDistributionPredictionResult createObject()
{
return new TimeDistributionPredictionResult();
}
@Override
public Collection<?> createCollection(TimeDistributionPredictionResult target,
String variable,
int size)
{
if (variable != null) {
if (variable.equals(resultsVAR)) {
target.results = new ArrayList<APredictionResult>();
return target.results;
}
}
return null;
}
};
public static void registerLoader()
{
ObjectLoader.registerLoader(TimeDistributionPredictionResult.class.getName(),
edu_cmu_cs_hcii_cogtool_model_TimeDistributionPredictionResult_version,
LOADER);
}
// For loading
public TimeDistributionPredictionResult() { }
public TimeDistributionPredictionResult(String predictionName,
Script s,
IPredictionAlgo predictionAlg,
List<String> traces,
List<String> errors,
List<APredictionResult> resultList)
{
super(predictionName, s, predictionAlg, traces, errors, null,
computeAverageStepTime(resultList));
results = resultList;
}
public TimeDistributionPredictionResult(String predictionName,
Script s,
IPredictionAlgo predictionAlg,
List<String> traces,
List<String> errors)
{
super(predictionName, s, predictionAlg, traces, errors, null);
}
protected static double computeAverageStepTime(List<APredictionResult> resultList)
{
Iterator<APredictionResult> resultIt = resultList.iterator();
double tTime = 0.0d;
while (resultIt.hasNext()) {
tTime += ((TimePredictionResult) resultIt.next()).getTaskTime();
}
return tTime / resultList.size();
}
public List<APredictionResult> getResultList()
{
return results;
}
@Override
public List<ResultStep> getModelSteps()
{
// return an aggregate of all of the model steps
List<ResultStep> stepAggregate = new ArrayList<ResultStep>();
Iterator<APredictionResult> resultIt = results.iterator();
while (resultIt.hasNext()) {
APredictionResult result = resultIt.next();
stepAggregate.addAll(result.getModelSteps());
}
return stepAggregate;
}
@Override
protected void copyState(TaskApplication ta, APredictionResult fromResult)
{
super.copyState(ta, fromResult);
results = new ArrayList<APredictionResult>();
Iterator<APredictionResult> allResults = results.iterator();
while (allResults.hasNext()) {
APredictionResult result = allResults.next();
results.add(result.duplicate(ta));
}
}
/**
* Duplicate the result; may simply return the current instance
* since results are not modifiable.
*/
@Override
public APredictionResult duplicate(TaskApplication ta)
{
TimeDistributionPredictionResult resultCopy =
new TimeDistributionPredictionResult();
resultCopy.copyState(ta, this);
return resultCopy;
}
}