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/*
 * (C) Copyright 2005-2017, by Charles Fry, Dimitrios Michail and Contributors.
 *
 * JGraphT : a free Java graph-theory library
 *
 * This program and the accompanying materials are dual-licensed under
 * either
 *
 * (a) the terms of the GNU Lesser General Public License version 2.1
 * as published by the Free Software Foundation, or (at your option) any
 * later version.
 *
 * or (per the licensee's choosing)
 *
 * (b) the terms of the Eclipse Public License v1.0 as published by
 * the Eclipse Foundation.
 */
package org.jgrapht.io;

import java.io.*;
import java.util.*;

import org.jgrapht.*;
import org.jgrapht.util.*;

/**
 * Exports a graph to a plain text matrix format, which can be processed by matrix manipulation
 * software, such as  MTJ or
 * MATLAB.
 * 
 * 

* The exporter supports three different formats, see {@link Format}. *

* * @see Format * * @param the graph vertex type * @param the graph edge type * * @author Charles Fry * @author Dimitrios Michail */ public class MatrixExporter extends AbstractBaseExporter implements GraphExporter { private final String delimiter = " "; private Format format; /** * Formats supported by the {@link MatrixExporter} exporter. */ public enum Format { /** * A sparse representation of the adjacency matrix. This is the default. Exports the * specified graph into a plain text file format containing a sparse representation of the * graph's adjacency matrix. The value stored in each position of the matrix indicates the * number of edges between two vertices. With an undirected graph, the adjacency matrix is * symmetric. */ SPARSE_ADJACENCY_MATRIX, /** * A sparse representation of the Laplacian. */ SPARSE_LAPLACIAN_MATRIX, /** * A sparse representation of the normalized Laplacian. */ SPARSE_NORMALIZED_LAPLACIAN_MATRIX, } /** * Creates a new MatrixExporter with integer name provider for the vertex identifiers and * {@link Format#SPARSE_ADJACENCY_MATRIX} as the default format. */ public MatrixExporter() { this(Format.SPARSE_ADJACENCY_MATRIX, new IntegerComponentNameProvider<>()); } /** * Creates a new MatrixExporter with integer name provider for the vertex identifiers. * * @param format format to use */ public MatrixExporter(Format format) { this(format, new IntegerComponentNameProvider<>()); } /** * Creates a new MatrixExporter. * * @param format format to use * @param vertexIDProvider for generating vertex identifiers. Must not be null. */ public MatrixExporter(Format format, ComponentNameProvider vertexIDProvider) { super(vertexIDProvider); this.format = format; } /** * Get the format that the exporter is using. * * @return the output format */ public Format getFormat() { return format; } /** * Set the output format of the exporter * * @param format the format to use */ public void setFormat(Format format) { this.format = format; } @Override public void exportGraph(Graph g, Writer writer) throws ExportException { switch (format) { case SPARSE_ADJACENCY_MATRIX: exportAdjacencyMatrix(g, writer); break; case SPARSE_LAPLACIAN_MATRIX: if (g.getType().isUndirected()) { exportLaplacianMatrix(g, writer); } else { throw new ExportException( "Exporter can only export undirected graphs in this format"); } break; case SPARSE_NORMALIZED_LAPLACIAN_MATRIX: if (g.getType().isUndirected()) { exportNormalizedLaplacianMatrix(g, writer); } else { throw new ExportException( "Exporter can only export undirected graphs in this format"); } break; } } private void exportAdjacencyMatrix(Graph g, Writer writer) { for (V from : g.vertexSet()) { // assign ids in vertex set iteration order vertexIDProvider.getName(from); } PrintWriter out = new PrintWriter(writer); if (g.getType().isDirected()) { for (V from : g.vertexSet()) { exportAdjacencyMatrixVertex(out, from, Graphs.successorListOf(g, from)); } } else { for (V from : g.vertexSet()) { exportAdjacencyMatrixVertex(out, from, Graphs.neighborListOf(g, from)); } } out.flush(); } private void exportAdjacencyMatrixVertex(PrintWriter writer, V from, List neighbors) { String fromName = vertexIDProvider.getName(from); Map counts = new LinkedHashMap<>(); for (V to : neighbors) { String toName = vertexIDProvider.getName(to); ModifiableInteger count = counts.get(toName); if (count == null) { count = new ModifiableInteger(0); counts.put(toName, count); } count.increment(); if (from.equals(to)) { // count loops twice, once for each end count.increment(); } } for (Map.Entry entry : counts.entrySet()) { String toName = entry.getKey(); ModifiableInteger count = entry.getValue(); exportEntry(writer, fromName, toName, count.toString()); } } private void exportEntry(PrintWriter writer, String from, String to, String value) { writer.println(from + delimiter + to + delimiter + value); } private void exportLaplacianMatrix(Graph g, Writer writer) { PrintWriter out = new PrintWriter(writer); ComponentNameProvider nameProvider = new IntegerComponentNameProvider<>(); for (V from : g.vertexSet()) { // assign ids in vertex set iteration order nameProvider.getName(from); } for (V from : g.vertexSet()) { String fromName = nameProvider.getName(from); List neighbors = Graphs.neighborListOf(g, from); exportEntry(out, fromName, fromName, Integer.toString(neighbors.size())); for (V to : neighbors) { String toName = nameProvider.getName(to); exportEntry(out, fromName, toName, "-1"); } } out.flush(); } private void exportNormalizedLaplacianMatrix(Graph g, Writer writer) { PrintWriter out = new PrintWriter(writer); ComponentNameProvider nameProvider = new IntegerComponentNameProvider<>(); for (V from : g.vertexSet()) { // assign ids in vertex set iteration order nameProvider.getName(from); } for (V from : g.vertexSet()) { String fromName = nameProvider.getName(from); Set neighbors = new LinkedHashSet<>(Graphs.neighborListOf(g, from)); if (neighbors.isEmpty()) { exportEntry(out, fromName, fromName, "0"); } else { exportEntry(out, fromName, fromName, "1"); for (V to : neighbors) { String toName = nameProvider.getName(to); double value = -1 / Math.sqrt(g.degreeOf(from) * g.degreeOf(to)); exportEntry(out, fromName, toName, Double.toString(value)); } } } out.flush(); } } // End MatrixExporter.java




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