view dwtx/draw2d/graph/CollapsedEdges.d @ 98:95307ad235d9

Added Draw2d code, still work in progress
author Frank Benoit <benoit@tionex.de>
date Sun, 03 Aug 2008 00:52:14 +0200
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/*******************************************************************************
 * Copyright (c) 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
 * Port to the D programming language:
 *     Frank Benoit <benoit@tionex.de>
 *******************************************************************************/
module dwtx.draw2d.graph.CollapsedEdges;

import dwt.dwthelper.utils;
import dwtx.draw2d.graph.Edge;

/**
 * Contains the information from all edges going from a given cluster to some other
 * cluster.  An edge with minimal slack as chosen to maintain the link between clusters.
 * The weight and any slack more than the minimal edge's slack is tracked for all other
 * edges.
 * @since 3.1
 */
class CollapsedEdges {

    /**
     * The total weight of the collapsed edges.
     */
    int collapsedWeight;
    int collapsedCount;

    /**
     * The total amount of weighted difference in the collapsed edges slack and the
     * tightest edge's slack.
     */
    int overage;
    int unOverage;
    Edge tightestEdge;

    this(Edge edge) {
        tightestEdge = edge;
        collapsedWeight = edge.weight;
        collapsedCount++;
    }

    public int getWeightedPull() {
        return tightestEdge.getSlack() * collapsedWeight + overage;
    }

    public bool isTight() {
        return tightestEdge.getSlack() is 0;
    }

    /**
     * Compares the given edge to the current tightest edge.  If the given edge is tighter
     * than the current, the current tightest is returned.  Otherwise, the edge itself is
     * returned.  The returned edge would be the one to remove from the graph.
     * @param candidate another edge
     * @return the edge which is not the tightest edge
     * @since 3.1
     */
    Edge processEdge(Edge candidate) {
        collapsedCount++;
        if (candidate.getSlack() < tightestEdge.getSlack()) {
            overage += collapsedWeight * (tightestEdge.getSlack() - candidate.getSlack());
            Edge temp = tightestEdge;
            tightestEdge = candidate;
            collapsedWeight += candidate.weight;
            return temp;
        } else {
            int over = candidate.getSlack() - tightestEdge.getSlack();
            unOverage += over;
            overage += candidate.weight * over;
            collapsedWeight += candidate.weight;
            return candidate;
        }
    }
}