/*
* Copyright (c) 2005–2012 Goethe Center for Scientific Computing - Simulation and Modelling (G-CSC Frankfurt)
* Copyright (c) 2012-2015 Goethe Center for Scientific Computing - Computational Neuroscience (G-CSC Frankfurt)
*
* This file is part of NeuGen.
*
* NeuGen is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License version 3
* as published by the Free Software Foundation.
*
* see: http://opensource.org/licenses/LGPL-3.0
* file://path/to/NeuGen/LICENSE
*
* NeuGen 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 Lesser General Public License for more details.
*
* This version of NeuGen includes copyright notice and attribution requirements.
* According to the LGPL this information must be displayed even if you modify
* the source code of NeuGen. The copyright statement/attribution may not be removed.
*
* Attribution Requirements:
*
* If you create derived work you must do the following regarding copyright
* notice and author attribution.
*
* Add an additional notice, stating that you modified NeuGen. In addition
* you must cite the publications listed below. A suitable notice might read
* "NeuGen source code modified by YourName 2012".
*
* Note, that these requirements are in full accordance with the LGPL v3
* (see 7. Additional Terms, b).
*
* Publications:
*
* S. Wolf, S. Grein, G. Queisser. NeuGen 2.0 -
* Employing NeuGen 2.0 to automatically generate realistic
* morphologies of hippocapal neurons and neural networks in 3D.
* Neuroinformatics, 2013, 11(2), pp. 137-148, doi: 10.1007/s12021-012-9170-1
*
*
* J. P. Eberhard, A. Wanner, G. Wittum. NeuGen -
* A tool for the generation of realistic morphology
* of cortical neurons and neural networks in 3D.
* Neurocomputing, 70(1-3), pp. 327-343, doi: 10.1016/j.neucom.2006.01.028
*
*/
/*
* File: ConfigTask.java
* Created on 20.07.2009, 16:03:45
*
*/
package org.neugen.gui;
import org.apache.log4j.Logger;
import org.jdesktop.application.Application;
import org.jdesktop.application.Task;
import org.neugen.utils.Utils;
/**
* @author Sergei Wolf
*/
public final class NeuGenLibTask extends Task<Void, Void> {
private static final Logger logger = Logger.getLogger(NeuGenLibTask.class.getName());
private NeuGenLib ngLib;
private static NeuGenLibTask instance;
private String projectType;
public NeuGenLibTask(Application application, String projectType) {
super(application);
this.projectType = projectType;
if (instance != null) {
throw new IllegalStateException("Already instantiated");
}
}
public NeuGenLib getNGLib() {
return ngLib;
}
public static NeuGenLibTask getInstance() {
return instance;
}
public static void setInstance(NeuGenLibTask instance) {
NeuGenLibTask.instance = instance;
}
public void setMyProgress(int value, int min, int max) {
setProgress(value, min, max);
}
public void setMyProgress(float percentage) {
if (Float.isInfinite(percentage)) {
logger.info("percentage infinite: " + percentage);
percentage = 1.0f;
}
setProgress(percentage);
}
@Override
protected Void doInBackground() {
NeuGenView.getInstance().outPrintln(Utils.getMemoryStatus());
setMessage("generate neuronal net...");
ngLib = new NeuGenLib();
// netz uebergeben!
ngLib.run(projectType);
return null;
}
@Override
protected void succeeded(Void result) {
NeuGenView ngView = NeuGenView.getInstance();
ngView.setNetExist(true);
ngView.setNewNet(true);
ngView.enableButtons();
System.gc();
ngView.outPrintln(Utils.getMemoryStatus());
}
}