blob: 1fe19c2d65aef21a398adcebbb7f1a7f84715f07 [file] [log] [blame]
/*******************************************************************************
* Copyright (c) 2003, 2005 IBM Corporation and others.
* All rights reserved. This program and the accompanying materials
* are made available under the terms of the Eclipse Public License v1.0
* which accompanies this distribution, and is available at
* http://www.eclipse.org/legal/epl-v10.html
*
* Contributors:
* IBM Corporation - initial API and implementation
*******************************************************************************/
package org.eclipse.draw2d.graph;
import java.util.Collections;
import java.util.Comparator;
import java.util.Random;
/**
* Sorts Ranks during the up and down sweeps of the MinCross visitor.
* @author Randy Hudson
* @since 2.1.2
*/
class RankSorter {
Random flipflop = new Random(3);
Node node;
double rankSize, prevRankSize, nextRankSize;
int currentRow;
Rank rank;
double progress;
DirectedGraph g;
protected void assignIncomingSortValues() {
rankSize = rank.total;
prevRankSize = g.ranks.getRank(currentRow - 1).total;
if (currentRow < g.ranks.size() - 1)
nextRankSize = g.ranks.getRank(currentRow + 1).total;
for (int n = 0; n < rank.count(); n++) {
node = rank.getNode(n);
sortValueIncoming();
}
}
protected void assignOutgoingSortValues() {
rankSize = rank.total;
prevRankSize = g.ranks.getRank(currentRow + 1).total;
if (currentRow > 1)
nextRankSize = g.ranks.getRank(currentRow - 1).total;
for (int n = 0; n < rank.count(); n++) {
node = rank.getNode(n);
sortValueOutgoing();
}
}
double evaluateNodeIncoming() {
boolean change = false;
EdgeList incoming = node.incoming;
do {
change = false;
for (int i = 0; i < incoming.size() - 1; i++) {
if (incoming.getSourceIndex(i) > incoming.getSourceIndex(i + 1)) {
Edge e = incoming.getEdge(i);
incoming.set(i, incoming.get(i + 1));
incoming.set(i + 1, e);
change = true;
}
}
} while (change);
int n = incoming.size();
if (n == 0) {
return node.index * prevRankSize / rankSize;
}
if (n % 2 == 1)
return incoming.getSourceIndex(n / 2);
int l = incoming.getSourceIndex(n / 2 - 1);
int r = incoming.getSourceIndex(n / 2);
if (progress >= 0.8 && n > 2) {
int dl = l - incoming.getSourceIndex(0);
int dr = incoming.getSourceIndex(n - 1) - r;
if (dl < dr)
return l;
if (dl > dr)
return r;
}
if (progress > 0.25 && progress < 0.75) {
if (flipflop.nextBoolean())
return (l + l + r) / 3.0;
else
return (r + r + l) / 3.0;
}
return (l + r) / 2.0;
}
double evaluateNodeOutgoing() {
boolean change = false;
EdgeList outgoing = node.outgoing;
do {
change = false;
for (int i = 0; i < outgoing.size() - 1; i++) {
if (outgoing.getTargetIndex(i) > outgoing.getTargetIndex(i + 1)) {
Edge e = outgoing.getEdge(i);
outgoing.set(i, outgoing.get(i + 1));
outgoing.set(i + 1, e);
change = true;
}
}
} while (change);
int n = outgoing.size();
if (n == 0)
return node.index * prevRankSize / rankSize;
if (n % 2 == 1)
return outgoing.getTargetIndex(n / 2);
int l = outgoing.getTargetIndex(n / 2 - 1);
int r = outgoing.getTargetIndex(n / 2);
if (progress >= 0.8 && n > 2) {
int dl = l - outgoing.getTargetIndex(0);
int dr = outgoing.getTargetIndex(n - 1) - r;
if (dl < dr)
return l;
if (dl > dr)
return r;
}
if (progress > 0.25 && progress < 0.75) {
if (flipflop.nextBoolean())
return (l + l + r) / 3.0;
else
return (r + r + l) / 3.0;
}
return (l + r) / 2.0;
}
public void sortRankIncoming(DirectedGraph g, Rank rank, int row, double progress) {
this.currentRow = row;
this.rank = rank;
this.progress = progress;
assignIncomingSortValues();
sort();
postSort();
}
public void init(DirectedGraph g) {
this.g = g;
for (int i = 0; i < g.ranks.size(); i++) {
rank = g.ranks.getRank(i);
//Sort the ranks based on their constraints. Constraints are preserved throughout.
Collections.sort(rank, new Comparator() {
public int compare(Object left, Object right) {
return ((Node)left).rowOrder - ((Node)right).rowOrder;
}
});
postSort();
}
}
void optimize(DirectedGraph g) {
}
protected void postSort() {
rank.assignIndices();
}
void sort() {
boolean change;
do {
change = false;
for (int i = 0; i < rank.size() - 1; i++)
change |= swap(i);
if (!change)
break;
change = false;
for (int i = rank.size() - 2; i >= 0; i--)
change |= swap(i);
} while (change);
}
boolean swap(int i) {
Node left = rank.getNode(i);
Node right = rank.getNode(i + 1);
if (GraphUtilities.isConstrained(left, right))
return false;
if (left.sortValue <= right.sortValue)
return false;
rank.set(i, right);
rank.set(i + 1, left);
return true;
}
public void sortRankOutgoing(DirectedGraph g, Rank rank, int row, double progress) {
this.currentRow = row;
this.rank = rank;
this.progress = progress;
assignOutgoingSortValues();
sort();
postSort();
}
void sortValueIncoming() {
node.sortValue = evaluateNodeIncoming();
//$TODO restore this optimization
// if (progress == 0.0 && !(node instanceof VirtualNode))
// node.sortValue = -1;
double value = evaluateNodeOutgoing();
if (value < 0)
value = node.index * nextRankSize / rankSize;
node.sortValue += value * progress;
// if (progress < 0.7 && node.sortValue != -1)
// node.sortValue += Math.random() * rankSize / (5 + 8 * progress);
}
void sortValueOutgoing() {
node.sortValue = evaluateNodeOutgoing();
//$TODO restore this optimization
// if (progress == 0.0 && !(node instanceof VirtualNode))
// node.sortValue = -1;
double value = evaluateNodeIncoming();
if (value < 0)
value = node.index * nextRankSize / rankSize;
node.sortValue += value * progress;
// if (progress < 0.7 && node.sortValue != -1)
// node.sortValue += Math.random() * rankSize / (5 + 8 * progress);
}
}