/* * 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 * */ package org.neugen.parsers; import org.neugen.utils.Utils; import org.neugen.gui.*; import java.io.File; import java.io.FileInputStream; import java.io.IOException; import javax.xml.parsers.SAXParserFactory; import org.apache.log4j.Logger; import org.jdesktop.application.Application; import org.jdesktop.application.Task; import org.neugen.datastructures.Net; import org.neugen.datastructures.neuron.Neuron; import org.xml.sax.InputSource; import org.xml.sax.XMLReader; /** * @author Sergei Wolf */ public final class NeuroMLReaderTask extends Task<Void, Void> { private final static Logger logger = Logger.getLogger(NeuroMLReaderTask.class.getName()); private final File file; public int fileLength = 0; public NeuGenView ngView; public NeuroMLReaderTask(Application app, File file) { super(app); this.file = file; fileLength = (int) file.length(); ngView = NeuGenView.getInstance(); } public void setMyProgress(int value, int min, int max) { setProgress(value, min, max); } @Override protected Void doInBackground() throws IOException { try { FileInputStream instream = null; InputSource is = null; SAXParserFactory spf = SAXParserFactory.newInstance(); spf.setNamespaceAware(true); XMLReader xmlReader = spf.newSAXParser().getXMLReader(); MorphMLReader mmlBuilder = new MorphMLReader(this); xmlReader.setContentHandler(mmlBuilder); instream = new FileInputStream(file); is = new InputSource(instream); ngView.outPrintln("reading neuroML file: " + file.getPath() + "\n"); xmlReader.parse(is); Net net = mmlBuilder.getNet(); for (Neuron neuron : net.getNeuronList()) { neuron.infoNeuron(); } net.setTotalNumOfSegments(); ngView.setNet(net); /* ngView.outPrintln("Total number of segments(net): " + net.getTotalNumberOfSegments() + "\n"); ngView.outPrintln("Total number of segments(reader): " + mmlBuilder.getTotalNumSegs()); ngView.outPrintln("Total number of sections(reader): " + mmlBuilder.getTotalNumSecs());*/ } catch (Exception e) { logger.error(e, e); } return null; } @Override protected void succeeded(Void result) { ngView.setNetExist(true); ngView.enableButtons(); System.gc(); ngView.outPrintln(Utils.getMemoryStatus()); ngView.visualizeData().run(); } }