protected Graph<String, DefaultWeightedEdge> createWithBias(boolean negate) {
Graph<String, DefaultWeightedEdge> g;
double bias = 1;
if (negate) {
// negative-weight edges are being tested, so only a directed graph
// makes sense
g = new SimpleDirectedWeightedGraph<String, DefaultWeightedEdge>(DefaultWeightedEdge.class);
bias = -1;
} else {
// by default, use an undirected graph
g = new SimpleWeightedGraph<String, DefaultWeightedEdge>(DefaultWeightedEdge.class);
}
g.addVertex(V1);
g.addVertex(V2);
g.addVertex(V3);
g.addVertex(V4);
g.addVertex(V5);
e12 = Graphs.addEdge(g, V1, V2, bias * 2);
e13 = Graphs.addEdge(g, V1, V3, bias * 3);
e24 = Graphs.addEdge(g, V2, V4, bias * 5);
e34 = Graphs.addEdge(g, V3, V4, bias * 20);
e45 = Graphs.addEdge(g, V4, V5, bias * 5);
e15 = Graphs.addEdge(g, V1, V5, bias * 100);
return g;
}
@Override
public <N extends Node, E extends Edge> Graph<N, E> createGraph(
VertexFactory<N> vfac, EdgeFactory<N, E> efac) {
Integer inp =
InputDialog.getIntegerInput("Game Tree Factory", "No. of levels?", 2, Integer.MAX_VALUE);
if (inp == null) {
return null;
}
int levels = inp;
final double levelSep = ((2 << levels - 1) * (5.0 + 5.0)) / (Math.PI * levels);
final double shift = levels * levelSep;
Graph<N, E> graph = new SimpleGraph<>(efac);
List<N> parents = new LinkedList<>();
List<N> children = new LinkedList<>();
Node.PropChanger npr = Node.PropChanger.create();
N n = vfac.createVertex();
npr.setPosition(n, polarToCartesian(0, 0, shift));
graph.addVertex(n);
parents.add(n);
for (int i = 1; i <= levels; i++) {
final double curRadius = i * levelSep;
double th = 0;
final double thDelta = Math.PI / parents.size();
for (N p : parents) {
N c1 = vfac.createVertex();
N c2 = vfac.createVertex();
npr.setPosition(c1, polarToCartesian(curRadius, th + 0.5 * thDelta, shift));
npr.setPosition(c2, polarToCartesian(curRadius, th + 1.5 * thDelta, shift));
th += 2 * thDelta;
graph.addVertex(c1);
graph.addVertex(c2);
graph.addEdge(p, c1);
graph.addEdge(p, c2);
children.add(c1);
children.add(c2);
}
parents = children;
children = new LinkedList<>();
}
return graph;
}
/**
* Returns a graph, each vertex corresponding with an vector in R, and edges connecting vertices
* (vectors) if they are obtuse or at right angles.
*
* @param TOL > 0 decides how close to zero is considered zero.
*/
public static Graph<Matrix, DefaultEdge> obtuseConnectedGraph(Set<Matrix> R, double TOL) {
Graph G = new SimpleGraph<>(DefaultEdge.class);
for (Matrix v : R) G.addVertex(v); // graph contains the relevant vectors
int N = R.size();
Matrix[] b = new Matrix[N];
R.toArray(b); // build an array with pointers to vectors in R (also vertices in G)
// add edges between obtuse relevant vectors.
for (int i = 0; i < N; i++)
for (int j = i + 1; j < N; j++) if (dot(b[i], b[j]) < Math.abs(TOL)) G.addEdge(b[i], b[j]);
return G;
}
/** {@inheritDoc} */
public void generateGraph(
Graph<V, E> target, VertexFactory<V> vertexFactory, Map<String, V> resultMap) {
if (size < 1) {
return;
}
// Add all the vertices to the set
for (int i = 0; i < size; i++) {
V newVertex = vertexFactory.createVertex();
target.addVertex(newVertex);
}
/*
* We want two iterators over the vertex set, one fast and one slow.
* The slow one will move through the set once. For each vertex,
* the fast iterator moves through the set, adding an edge to all
* vertices we haven't connected to yet.
*
* If we have an undirected graph, the second addEdge call will return
* nothing; it will not add a second edge.
*/
Iterator<V> slowI = target.vertexSet().iterator();
Iterator<V> fastI;
while (slowI.hasNext()) { // While there are more vertices in the set
V latestVertex = slowI.next();
fastI = target.vertexSet().iterator();
// Jump to the first vertex *past* latestVertex
while (fastI.next() != latestVertex) {;
}
// And, add edges to all remaining vertices
V temp;
while (fastI.hasNext()) {
temp = fastI.next();
target.addEdge(latestVertex, temp);
target.addEdge(temp, latestVertex);
}
}
}
/** {@inheritDoc} */
public void generateGraph(
Graph<V, E> target, final VertexFactory<V> vertexFactory, Map<String, V> resultMap) {
if (size < 1) {
return;
}
// A little trickery to intercept the rim generation. This is
// necessary since target may be initially non-empty, meaning we can't
// rely on its vertex set after the rim is generated.
final Collection<V> rim = new ArrayList<V>();
VertexFactory<V> rimVertexFactory =
new VertexFactory<V>() {
public V createVertex() {
V vertex = vertexFactory.createVertex();
rim.add(vertex);
return vertex;
}
};
RingGraphGenerator<V, E> ringGenerator = new RingGraphGenerator<V, E>(size - 1);
ringGenerator.generateGraph(target, rimVertexFactory, resultMap);
V hubVertex = vertexFactory.createVertex();
target.addVertex(hubVertex);
if (resultMap != null) {
resultMap.put(HUB_VERTEX, hubVertex);
}
for (V rimVertex : rim) {
if (inwardSpokes) {
target.addEdge(rimVertex, hubVertex);
} else {
target.addEdge(hubVertex, rimVertex);
}
}
}
@Override
public void generateGraph(
Graph<V, E> veGraph, VertexFactory<V> vVertexFactory, Map<String, V> stringVMap) {
Map<Integer, V> intToNodeMap = new HashMap<Integer, V>();
for (Integer nodeID : selected.vertices.keySet()) {
V node = vVertexFactory.createVertex();
if (!veGraph.containsVertex(node)) veGraph.addVertex(node);
intToNodeMap.put(nodeID, node);
}
for (PajekArc arc : selected.arcs) {
V source = intToNodeMap.get(arc.source);
V target = intToNodeMap.get(arc.target);
E edge = null;
if (!veGraph.containsEdge(source, target)) edge = veGraph.addEdge(source, target);
else edge = veGraph.getEdge(source, target);
if (veGraph instanceof WeightedGraph)
((WeightedGraph) veGraph).setEdgeWeight(edge, arc.weight);
}
}
/** {@inheritDoc} */
public void generateGraph(
Graph<V, E> target, VertexFactory<V> vertexFactory, Map<String, V> resultMap) {
V lastVertex = null;
for (int i = 0; i < size; ++i) {
V newVertex = vertexFactory.createVertex();
target.addVertex(newVertex);
if (lastVertex == null) {
if (resultMap != null) {
resultMap.put(START_VERTEX, newVertex);
}
} else {
target.addEdge(lastVertex, newVertex);
}
lastVertex = newVertex;
}
if ((resultMap != null) && (lastVertex != null)) {
resultMap.put(END_VERTEX, lastVertex);
}
}
void addVertex(V jtVertex) {
jtElementsBeingAdded.add(jtVertex);
graph.addVertex(jtVertex);
jtElementsBeingAdded.remove(jtVertex);
}
/**
* Create OSM graph for routing
*
* @return
*/
public void createGraph() {
logger.debug("Creating Graph...");
graph = new DirectedWeightedMultigraph<>(OsmEdge.class);
rgDelegator = new RoutingGraphDelegator(graph);
rgDelegator.setRouteType(this.routeType);
// iterate all ways and segments for all nodes:
for (Way way : data.getWays()) {
// skip way if not suitable for routing.
if (way == null || way.isDeleted() || !this.isvalidWay(way) || way.getNodes().size() < 1)
continue;
// INIT
Node from = null;
Node to = null;
List<Node> nodes = way.getNodes();
int nodes_count = nodes.size();
/*
* Assume node is A B C D E. The procedure should be
*
* case 1 - bidirectional ways:
* 1) Add vertex A B C D E
* 2) Link A<->B, B<->C, C<->D, D<->E as Edges
*
* case 2 - oneway reverse:
* 1) Add vertex A B C D E
* 2) Link B->A,C->B,D->C,E->D as Edges. result: A<-B<-C<-D<-E
*
* case 3 - oneway normal:
* 1) Add vertex A B C D E
* 2) Link A->B, B->C, C->D, D->E as Edges. result: A->B->C->D->E
*
*
*/
String oneway_val = way.get("oneway"); /* get (oneway=?) tag for this way. */
String junction_val = way.get("junction"); /* get (junction=?) tag for this way. */
from = nodes.get(0); /* 1st node A */
graph.addVertex(from); /* add vertex A */
for (int i = 1; i < nodes_count; i++) {
/* loop from B until E */
to = nodes.get(i); /* 2nd node B */
if (to != null && !to.isDeleted()) {
graph.addVertex(to); /* add vertex B */
// this is where we link the vertices
if (!routingProfile.isOnewayUsed()) {
// "Ignore oneways" is selected
addEdgeBidirectional(way, from, to);
} else if (oneway_val == null && junction_val == "roundabout") {
// Case (roundabout): oneway=implicit yes
addEdgeNormalOneway(way, from, to);
} else if (oneway_val == null
|| oneway_val == "false"
|| oneway_val == "no"
|| oneway_val == "0") {
// Case (bi-way): oneway=false OR oneway=unset OR oneway=0 OR oneway=no
addEdgeBidirectional(way, from, to);
} else if (oneway_val == "-1") {
// Case (oneway reverse): oneway=-1
addEdgeReverseOneway(way, from, to);
} else if (oneway_val == "1" || oneway_val == "yes" || oneway_val == "true") {
// Case (oneway normal): oneway=yes OR 1 OR true
addEdgeNormalOneway(way, from, to);
}
from = to; /* we did A<->B, next loop we will do B<->C, so from=B,to=C for next loop. */
}
} // end of looping thru nodes
} // end of looping thru ways
logger.debug("End Create Graph");
logger.debug("Vertex: " + graph.vertexSet().size());
logger.debug("Edges: " + graph.edgeSet().size());
}
public void addNode(Node toAdd) {
nodes.add(toAdd);
myGraph.addVertex(toAdd);
}
/**
* @param connectedOnly if true, the result will be a connected graph
* @return
*/
public Graph<V, E> toGraph() {
if (subgraph != null) return subgraph;
if (directed) {
subgraph = new DirectedMultigraph<V, E>(g2.getEdgeFactory());
} else {
subgraph = new Multigraph<V, E>(g2.getEdgeFactory());
}
E edge;
V source;
V target;
for (int x = 0; x < dimx; x++) {
for (int y = 0; y < dimy; y++) {
if (matrix[x][y]) {
edge = edgeList2.get(y);
source = g2.getEdgeSource(edge);
target = g2.getEdgeTarget(edge);
if (mappedVerticesFromG2.contains(source) && mappedVerticesFromG2.contains(target)) {
// make sure the source and target vertices have been added, then add the edge
subgraph.addVertex(source);
subgraph.addVertex(target);
subgraph.addEdge(source, target, edge);
}
}
}
}
if (connectedOnly) {
// make sure this subgraph is connected, if it is not return the largest connected part
List<Set<V>> connectedVertices = new ArrayList<Set<V>>();
for (V v : subgraph.vertexSet()) {
if (!SharedStaticMethods.containsV(connectedVertices, v)) {
connectedVertices.add(SharedStaticMethods.getConnectedVertices(subgraph, v));
}
}
// ConnectedVertices now contains Sets of connected vertices every vertex of the subgraph is
// contained exactly once in the list
// if there is more then 1 set, then this method should return the largest connected part of
// the graph
if (connectedVertices.size() > 1) {
Graph<V, E> largestResult = null;
Graph<V, E> currentGraph;
int largestSize = -1;
Set<V> currentSet;
for (int i = 0; i < connectedVertices.size(); i++) {
currentSet = connectedVertices.get(i);
/*note that 'subgraph' is the result from the Mcgregor algorithm, 'currentGraph' is an
* induced subgraph of 'subgraph'. 'currentGraph' is connected, because the vertices in
* 'currentSet' are connected with edges in 'subgraph'
*/
currentGraph = new Subgraph<V, E, Graph<V, E>>(subgraph, currentSet);
if (currentGraph.edgeSet().size() > largestSize) {
largestResult = currentGraph;
}
}
return largestResult;
}
}
return subgraph;
}