/* * 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()); } }