lib/dotgen/mincross.c

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/* $Id$ $Revision$ */
/* vim:set shiftwidth=4 ts=8: */

/*************************************************************************
 * Copyright (c) 2011 AT&T Intellectual Property 
 * 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: See CVS logs. Details at http://www.graphviz.org/
 *************************************************************************/


/* 
 * dot_mincross(g) takes a ranked graphs, and finds an ordering
 * that avoids edge crossings.  clusters are expanded.
 * N.B. the rank structure is global (not allocated per cluster)
 * because mincross may compare nodes in different clusters.
 */

#include "dot.h"

/* #define DEBUG */
#define MARK(v)         (ND_mark(v))
#define saveorder(v)    (ND_coord(v)).x
#define flatindex(v)    ND_low(v)

        /* forward declarations */
static boolean medians(graph_t * g, int r0, int r1);
static int nodeposcmpf(node_t ** n0, node_t ** n1);
static int edgeidcmpf(edge_t ** e0, edge_t ** e1);
static void flat_breakcycles(graph_t * g);
static void flat_reorder(graph_t * g);
static void flat_search(graph_t * g, node_t * v);
static void init_mincross(graph_t * g);
static void merge2(graph_t * g);
static void init_mccomp(graph_t * g, int c);
static void cleanup2(graph_t * g, int nc);
static int mincross_clust(graph_t * par, graph_t * g, int);
static int mincross(graph_t * g, int startpass, int endpass, int);
static void mincross_step(graph_t * g, int pass);
static void mincross_options(graph_t * g);
static void save_best(graph_t * g);
static void restore_best(graph_t * g);
static adjmatrix_t *new_matrix(int i, int j);
static void free_matrix(adjmatrix_t * p);
#ifdef DEBUG
void check_rs(graph_t * g, int null_ok);
void check_order(void);
void check_vlists(graph_t * g);
void node_in_root_vlist(node_t * n);
#endif


        /* mincross parameters */
static int MinQuit;
static double Convergence;

static graph_t *Root;
static int GlobalMinRank, GlobalMaxRank;
static edge_t **TE_list;
static int *TI_list;
static boolean ReMincross;

/* dot_mincross:
 * Minimize edge crossings
 * Note that nodes are not placed into GD_rank(g) until mincross()
 * is called.
 */
void dot_mincross(graph_t * g, int doBalance)
{
    int c, nc;
    char *s;

    init_mincross(g);

    for (nc = c = 0; c < GD_comp(g).size; c++) {
        init_mccomp(g, c);
        nc += mincross(g, 0, 2, doBalance);
    }

    merge2(g);

    /* run mincross on contents of each cluster */
    for (c = 1; c <= GD_n_cluster(g); c++) {
        nc += mincross_clust(g, GD_clust(g)[c], doBalance);
#ifdef DEBUG
        check_vlists(GD_clust(g)[c]);
        check_order();
#endif
    }

    if ((GD_n_cluster(g) > 0)
        && (!(s = agget(g, "remincross")) || (mapbool(s)))) {
        mark_lowclusters(g);
        ReMincross = TRUE;
        nc = mincross(g, 2, 2, doBalance);
#ifdef DEBUG
        for (c = 1; c <= GD_n_cluster(g); c++)
            check_vlists(GD_clust(g)[c]);
#endif
    }
    cleanup2(g, nc);
}

static adjmatrix_t *new_matrix(int i, int j)
{
    adjmatrix_t *rv = NEW(adjmatrix_t);
    rv->nrows = i;
    rv->ncols = j;
    rv->data = N_NEW(i * j, char);
    return rv;
}

static void free_matrix(adjmatrix_t * p)
{
    if (p) {
        free(p->data);
        free(p);
    }
}

#define ELT(M,i,j)              (M->data[((i)*M->ncols)+(j)])

static void init_mccomp(graph_t * g, int c)
{
    int r;

    GD_nlist(g) = GD_comp(g).list[c];
    if (c > 0) {
        for (r = GD_minrank(g); r <= GD_maxrank(g); r++) {
            GD_rank(g)[r].v = GD_rank(g)[r].v + GD_rank(g)[r].n;
            GD_rank(g)[r].n = 0;
        }
    }
}

static int betweenclust(edge_t * e)
{
    while (ED_to_orig(e))
        e = ED_to_orig(e);
    return (ND_clust(agtail(e)) != ND_clust(aghead(e)));
}

static void do_ordering_node (graph_t * g, node_t* n, int outflag)
{
    int i, ne;
    node_t *u, *v;
    edge_t *e, *f, *fe;
    edge_t **sortlist = TE_list;

    if (ND_clust(n))
        return;
    if (outflag) {
        for (i = ne = 0; (e = ND_out(n).list[i]); i++)
            if (!betweenclust(e))
                sortlist[ne++] = e;
    } else {
        for (i = ne = 0; (e = ND_in(n).list[i]); i++)
            if (!betweenclust(e))
                sortlist[ne++] = e;
    }
    if (ne <= 1)
        return;
    /* write null terminator at end of list.
       requires +1 in TE_list alloccation */
    sortlist[ne] = 0;
    qsort(sortlist, ne, sizeof(sortlist[0]), (qsort_cmpf) edgeidcmpf);
    for (ne = 1; (f = sortlist[ne]); ne++) {
        e = sortlist[ne - 1];
        if (outflag) {
            u = aghead(e);
            v = aghead(f);
        } else {
            u = agtail(e);
            v = agtail(f);
        }
        if (find_flat_edge(u, v))
            return;
        fe = new_virtual_edge(u, v, NULL);
        ED_edge_type(fe) = FLATORDER;
        flat_edge(g, fe);
    }
}

static void do_ordering(graph_t * g, int outflag)
{
    /* Order all nodes in graph */
    node_t *n;

    for (n = agfstnode(g); n; n = agnxtnode(g, n)) {
        do_ordering_node (g, n, outflag);
    }
}

static void do_ordering_for_nodes(graph_t * g)
{
    /* Order nodes which have the "ordered" attribute */
    node_t *n;
    const char *ordering;

    for (n = agfstnode(g); n; n = agnxtnode(g, n)) {
        if ((ordering = late_string(n, N_ordering, NULL))) {
            if (streq(ordering, "out"))
                do_ordering_node(g, n, TRUE);
            else if (streq(ordering, "in"))
                do_ordering_node(g, n, FALSE);
            else if (ordering[0])
                agerr(AGERR, "ordering '%s' not recognized for node '%s'.\n", ordering, agnameof(n));
        }
    }
}

/* ordered_edges:
 * handle case where graph specifies edge ordering
 * If the graph does not have an ordering attribute, we then
 * check for nodes having the attribute.
 * Note that, in this implementation, the value of G_ordering
 * dominates the value of N_ordering.
 */
static void ordered_edges(graph_t * g)
{
    char *ordering;

    if (!G_ordering && !N_ordering)
        return;
    if ((ordering = late_string(g, G_ordering, NULL))) {
        if (streq(ordering, "out"))
            do_ordering(g, TRUE);
        else if (streq(ordering, "in"))
            do_ordering(g, FALSE);
        else if (ordering[0])
            agerr(AGERR, "ordering '%s' not recognized.\n", ordering);
    }
    else
    {
#ifndef WITH_CGRAPH
        /* search meta-graph to find subgraphs that may be ordered */
        graph_t *mg, *subg;
        node_t *mm, *mn;
        edge_t *me;

        mm = g->meta_node;
        mg = mm->graph;
        for (me = agfstout(mg, mm); me; me = agnxtout(mg, me)) {
            mn = me->head;
            subg = agusergraph(mn);
#else /* WITH_CGRAPH */
        graph_t *subg;

        for (subg = agfstsubg(g); subg; subg = agnxtsubg(subg)) {
#endif /* WITH_CGRAPH */
            /* clusters are processed by separate calls to ordered_edges */
            if (!is_cluster(subg))
                ordered_edges(subg);
        }
        if (N_ordering) do_ordering_for_nodes (g);
    }
}

static int mincross_clust(graph_t * par, graph_t * g, int doBalance)
{
    int c, nc;

    expand_cluster(g);
    ordered_edges(g);
    flat_breakcycles(g);
    flat_reorder(g);
    nc = mincross(g, 2, 2, doBalance);

    for (c = 1; c <= GD_n_cluster(g); c++)
        nc += mincross_clust(g, GD_clust(g)[c], doBalance);

    save_vlist(g);
    return nc;
}

static int left2right(graph_t * g, node_t * v, node_t * w)
{
    adjmatrix_t *M;
    int rv;

    /* CLUSTER indicates orig nodes of clusters, and vnodes of skeletons */
    if (ReMincross == FALSE) {
        if ((ND_clust(v) != ND_clust(w)) && (ND_clust(v)) && (ND_clust(w))) {
            /* the following allows cluster skeletons to be swapped */
            if ((ND_ranktype(v) == CLUSTER)
                && (ND_node_type(v) == VIRTUAL))
                return FALSE;
            if ((ND_ranktype(w) == CLUSTER)
                && (ND_node_type(w) == VIRTUAL))
                return FALSE;
            return TRUE;
            /*return ((ND_ranktype(v) != CLUSTER) && (ND_ranktype(w) != CLUSTER)); */
        }
    } else {
        if ((ND_clust(v)) != (ND_clust(w)))
            return TRUE;
    }
    M = GD_rank(g)[ND_rank(v)].flat;
    if (M == NULL)
        rv = FALSE;
    else {
        if (GD_flip(g)) {
            node_t *t = v;
            v = w;
            w = t;
        }
        rv = ELT(M, flatindex(v), flatindex(w));
    }
    return rv;
}

static int in_cross(node_t * v, node_t * w)
{
    register edge_t **e1, **e2;
    register int inv, cross = 0, t;

    for (e2 = ND_in(w).list; *e2; e2++) {
        register int cnt = ED_xpenalty(*e2);            
                
        inv = ND_order((agtail(*e2)));

        for (e1 = ND_in(v).list; *e1; e1++) {
            t = ND_order(agtail(*e1)) - inv;
            if ((t > 0)
                || ((t == 0)
                    && (  ED_tail_port(*e1).p.x > ED_tail_port(*e2).p.x)))
                cross += ED_xpenalty(*e1) * cnt;
        }
    }
    return cross;
}

static int out_cross(node_t * v, node_t * w)
{
    register edge_t **e1, **e2;
    register int inv, cross = 0, t;

    for (e2 = ND_out(w).list; *e2; e2++) {
        register int cnt = ED_xpenalty(*e2);
        inv = ND_order(aghead(*e2));

        for (e1 = ND_out(v).list; *e1; e1++) {
            t = ND_order(aghead(*e1)) - inv;
            if ((t > 0)
                || ((t == 0)
                    && ((ED_head_port(*e1)).p.x > (ED_head_port(*e2)).p.x)))
                cross += ((ED_xpenalty(*e1)) * cnt);
        }
    }
    return cross;

}

static void exchange(node_t * v, node_t * w)
{
    int vi, wi, r;

    r = ND_rank(v);
    vi = ND_order(v);
    wi = ND_order(w);
    ND_order(v) = wi;
    GD_rank(Root)[r].v[wi] = v;
    ND_order(w) = vi;
    GD_rank(Root)[r].v[vi] = w;
}

static void balanceNodes(graph_t * g, int r, node_t * v, node_t * w)
{
    node_t *s;                  /* separator node */
    int sepIndex;
    int nullType;               /* type of null nodes */
    int cntDummy = 0, cntOri = 0;
    int k = 0, m = 0, k1 = 0, m1 = 0, i = 0;

    /* we only consider v and w of different types */
    if (ND_node_type(v) == ND_node_type(w))
        return;

    /* count the number of dummy and original nodes */
    for (i = 0; i < GD_rank(g)[r].n; i++) {
        if (ND_node_type(GD_rank(g)[r].v[i]) == NORMAL)
            cntOri++;
        else
            cntDummy++;
    }

    if (cntOri < cntDummy) {
        if (ND_node_type(v) == NORMAL)
            s = v;
        else
            s = w;
    } else {
        if (ND_node_type(v) == NORMAL)
            s = w;
        else
            s = v;
    }

    /* get the separator node index */
    for (i = 0; i < GD_rank(g)[r].n; i++) {
        if (GD_rank(g)[r].v[i] == s)
            sepIndex = i;
    }

    nullType = (ND_node_type(s) == NORMAL) ? VIRTUAL : NORMAL;

    /* count the number of null nodes to the left and 
     * right of the separator node 
     */
    for (i = sepIndex - 1; i >= 0; i--) {
        if (ND_node_type(GD_rank(g)[r].v[i]) == nullType)
            k++;
        else
            break;
    }

    for (i = sepIndex + 1; i < GD_rank(g)[r].n; i++) {
        if (ND_node_type(GD_rank(g)[r].v[i]) == nullType)
            m++;
        else
            break;
    }

    /* now exchange v,w and calculate the same counts */

    exchange(v, w);

    /* get the separator node index */
    for (i = 0; i < GD_rank(g)[r].n; i++) {
        if (GD_rank(g)[r].v[i] == s)
            sepIndex = i;
    }

    /* count the number of null nodes to the left and 
     * right of the separator node 
     */
    for (i = sepIndex - 1; i >= 0; i--) {
        if (ND_node_type(GD_rank(g)[r].v[i]) == nullType)
            k1++;
        else
            break;
    }

    for (i = sepIndex + 1; i < GD_rank(g)[r].n; i++) {
        if (ND_node_type(GD_rank(g)[r].v[i]) == nullType)
            m1++;
        else
            break;
    }

    if (abs(k1 - m1) > abs(k - m)) {
        exchange(v, w);         //revert to the original ordering
    }
}

static int balance(graph_t * g)
{
    int i, c0, c1, rv;
    node_t *v, *w;
    int r;

    rv = 0;

    for (r = GD_maxrank(g); r >= GD_minrank(g); r--) {

        GD_rank(g)[r].candidate = FALSE;
        for (i = 0; i < GD_rank(g)[r].n - 1; i++) {
            v = GD_rank(g)[r].v[i];
            w = GD_rank(g)[r].v[i + 1];
            assert(ND_order(v) < ND_order(w));
            if (left2right(g, v, w))
                continue;
            c0 = c1 = 0;
            if (r > 0) {
                c0 += in_cross(v, w);
                c1 += in_cross(w, v);
            }

            if (GD_rank(g)[r + 1].n > 0) {
                c0 += out_cross(v, w);
                c1 += out_cross(w, v);
            }
#if 0
            if ((c1 < c0) || ((c0 > 0) && reverse && (c1 == c0))) {
                exchange(v, w);
                rv += (c0 - c1);
                GD_rank(Root)[r].valid = FALSE;
                GD_rank(g)[r].candidate = TRUE;

                if (r > GD_minrank(g)) {
                    GD_rank(Root)[r - 1].valid = FALSE;
                    GD_rank(g)[r - 1].candidate = TRUE;
                }
                if (r < GD_maxrank(g)) {
                    GD_rank(Root)[r + 1].valid = FALSE;
                    GD_rank(g)[r + 1].candidate = TRUE;
                }
            }
#endif

            if (c1 <= c0) {
                balanceNodes(g, r, v, w);
            }
        }
    }
    return rv;
}

static int transpose_step(graph_t * g, int r, int reverse)
{
    int i, c0, c1, rv;
    node_t *v, *w;

    rv = 0;
    GD_rank(g)[r].candidate = FALSE;
    for (i = 0; i < GD_rank(g)[r].n - 1; i++) {
        v = GD_rank(g)[r].v[i];
        w = GD_rank(g)[r].v[i + 1];
        assert(ND_order(v) < ND_order(w));
        if (left2right(g, v, w))
            continue;
        c0 = c1 = 0;
        if (r > 0) {
            c0 += in_cross(v, w);
            c1 += in_cross(w, v);
        }
        if (GD_rank(g)[r + 1].n > 0) {
            c0 += out_cross(v, w);
            c1 += out_cross(w, v);
        }
        if ((c1 < c0) || ((c0 > 0) && reverse && (c1 == c0))) {
            exchange(v, w);
            rv += (c0 - c1);
            GD_rank(Root)[r].valid = FALSE;
            GD_rank(g)[r].candidate = TRUE;

            if (r > GD_minrank(g)) {
                GD_rank(Root)[r - 1].valid = FALSE;
                GD_rank(g)[r - 1].candidate = TRUE;
            }
            if (r < GD_maxrank(g)) {
                GD_rank(Root)[r + 1].valid = FALSE;
                GD_rank(g)[r + 1].candidate = TRUE;
            }
        }
    }
    return rv;
}

static void transpose(graph_t * g, int reverse)
{
    int r, delta;

    for (r = GD_minrank(g); r <= GD_maxrank(g); r++)
        GD_rank(g)[r].candidate = TRUE;
    do {
        delta = 0;
#ifdef NOTDEF
        /* don't run both the upward and downward passes- they cancel. 
           i tried making it depend on whether an odd or even pass, 
           but that didn't help. */
        for (r = GD_maxrank(g); r >= GD_minrank(g); r--)
            if (GD_rank(g)[r].candidate)
                delta += transpose_step(g, r, reverse);
#endif
        for (r = GD_minrank(g); r <= GD_maxrank(g); r++) {
            if (GD_rank(g)[r].candidate) {
                delta += transpose_step(g, r, reverse);
            }
        }
        /*} while (delta > ncross(g)*(1.0 - Convergence)); */
    } while (delta >= 1);
}

static int mincross(graph_t * g, int startpass, int endpass, int doBalance)
{
    int maxthispass, iter, trying, pass;
    int cur_cross, best_cross;

    if (startpass > 1) {
        cur_cross = best_cross = ncross(g);
        save_best(g);
    } else
        cur_cross = best_cross = INT_MAX;
    for (pass = startpass; pass <= endpass; pass++) {
        if (pass <= 1) {
            maxthispass = MIN(4, MaxIter);
            if (g == agroot(g))
                build_ranks(g, pass);
            if (pass == 0)
                flat_breakcycles(g);
            flat_reorder(g);

            if ((cur_cross = ncross(g)) <= best_cross) {
                save_best(g);
                best_cross = cur_cross;
            }
            trying = 0;
        } else {
            maxthispass = MaxIter;
            if (cur_cross > best_cross)
                restore_best(g);
            cur_cross = best_cross;
        }
        trying = 0;
        for (iter = 0; iter < maxthispass; iter++) {
            if (Verbose)
                fprintf(stderr,
                        "mincross: pass %d iter %d trying %d cur_cross %d best_cross %d\n",
                        pass, iter, trying, cur_cross, best_cross);
            if (trying++ >= MinQuit)
                break;
            if (cur_cross == 0)
                break;
            mincross_step(g, iter);
            if ((cur_cross = ncross(g)) <= best_cross) {
                save_best(g);
                if (cur_cross < Convergence * best_cross)
                    trying = 0;
                best_cross = cur_cross;
            }
        }
        if (cur_cross == 0)
            break;
    }
    if (cur_cross > best_cross)
        restore_best(g);
    if (best_cross > 0) {
        transpose(g, FALSE);
        best_cross = ncross(g);
    }
    if (doBalance) {
        for (iter = 0; iter < maxthispass; iter++)
            balance(g);
    }

    return best_cross;
}

static void restore_best(graph_t * g)
{
    node_t *n;
    int r;

    for (n = GD_nlist(g); n; n = ND_next(n))
        ND_order(n) = saveorder(n);
    for (r = GD_minrank(g); r <= GD_maxrank(g); r++) {
        GD_rank(Root)[r].valid = FALSE;
        qsort(GD_rank(g)[r].v, GD_rank(g)[r].n, sizeof(GD_rank(g)[0].v[0]),
              (qsort_cmpf) nodeposcmpf);
    }
}

static void save_best(graph_t * g)
{
    node_t *n;
    for (n = GD_nlist(g); n; n = ND_next(n))
        saveorder(n) = ND_order(n);
}

/* merges the connected components of g */
static void merge_components(graph_t * g)
{
    int c;
    node_t *u, *v;

    if (GD_comp(g).size <= 1)
        return;
    u = NULL;
    for (c = 0; c < GD_comp(g).size; c++) {
        v = GD_comp(g).list[c];
        if (u)
            ND_next(u) = v;
        ND_prev(v) = u;
        while (ND_next(v)) {
            v = ND_next(v);
        }
        u = v;
    }
    GD_comp(g).size = 1;
    GD_nlist(g) = GD_comp(g).list[0];
    GD_minrank(g) = GlobalMinRank;
    GD_maxrank(g) = GlobalMaxRank;
}

/* merge connected components, create globally consistent rank lists */
static void merge2(graph_t * g)
{
    int i, r;
    node_t *v;

    /* merge the components and rank limits */
    merge_components(g);

    /* install complete ranks */
    for (r = GD_minrank(g); r <= GD_maxrank(g); r++) {
        GD_rank(g)[r].n = GD_rank(g)[r].an;
        GD_rank(g)[r].v = GD_rank(g)[r].av;
        for (i = 0; i < GD_rank(g)[r].n; i++) {
            v = GD_rank(g)[r].v[i];
            if (v == NULL) {
                if (Verbose)
                    fprintf(stderr,
                            "merge2: graph %s, rank %d has only %d < %d nodes\n",
                            agnameof(g), r, i, GD_rank(g)[r].n);
                GD_rank(g)[r].n = i;
                break;
            }
            ND_order(v) = i;
        }
    }
}

static void cleanup2(graph_t * g, int nc)
{
    int i, j, r, c;
    node_t *v;
    edge_t *e;

    if (TI_list) {
        free(TI_list);
        TI_list = NULL;
    }
    if (TE_list) {
        free(TE_list);
        TE_list = NULL;
    }
    /* fix vlists of clusters */
    for (c = 1; c <= GD_n_cluster(g); c++)
        rec_reset_vlists(GD_clust(g)[c]);

    /* remove node temporary edges for ordering nodes */
    for (r = GD_minrank(g); r <= GD_maxrank(g); r++) {
        for (i = 0; i < GD_rank(g)[r].n; i++) {
            v = GD_rank(g)[r].v[i];
            ND_order(v) = i;
            if (ND_flat_out(v).list) {
                for (j = 0; (e = ND_flat_out(v).list[j]); j++)
                    if (ED_edge_type(e) == FLATORDER) {
                        delete_flat_edge(e);
#ifdef WITH_CGRAPH
                        free(e->base.data);
#endif
                        free(e);
                        j--;
                    }
            }
        }
        free_matrix(GD_rank(g)[r].flat);
    }
    if (Verbose)
        fprintf(stderr, "mincross %s: %d crossings, %.2f secs.\n",
                agnameof(g), nc, elapsed_sec());
}

static node_t *neighbor(node_t * v, int dir)
{
    node_t *rv;

    rv = NULL;
    if (dir < 0) {
        if (ND_order(v) > 0)
            rv = GD_rank(Root)[ND_rank(v)].v[ND_order(v) - 1];
    } else
        rv = GD_rank(Root)[ND_rank(v)].v[ND_order(v) + 1];
    return rv;
}

static int is_a_normal_node_of(graph_t * g, node_t * v)
{
    return ((ND_node_type(v) == NORMAL) && agcontains(g, v));
}

static int is_a_vnode_of_an_edge_of(graph_t * g, node_t * v)
{
    if ((ND_node_type(v) == VIRTUAL)
        && (ND_in(v).size == 1) && (ND_out(v).size == 1)) {
        edge_t *e = ND_out(v).list[0];
        while (ED_edge_type(e) != NORMAL)
            e = ED_to_orig(e);
        if (agcontains(g, e))
            return TRUE;
    }
    return FALSE;
}

static int inside_cluster(graph_t * g, node_t * v)
{
    return (is_a_normal_node_of(g, v) | is_a_vnode_of_an_edge_of(g, v));
}

static node_t *furthestnode(graph_t * g, node_t * v, int dir)
{
    node_t *u, *rv;

    rv = u = v;
    while ((u = neighbor(u, dir))) {
        if (is_a_normal_node_of(g, u))
            rv = u;
        else if (is_a_vnode_of_an_edge_of(g, u))
            rv = u;
    }
    return rv;
}

void save_vlist(graph_t * g)
{
    int r;

    if (GD_rankleader(g))
        for (r = GD_minrank(g); r <= GD_maxrank(g); r++) {
            GD_rankleader(g)[r] = GD_rank(g)[r].v[0];
        }
}

void rec_save_vlists(graph_t * g)
{
    int c;

    save_vlist(g);
    for (c = 1; c <= GD_n_cluster(g); c++)
        rec_save_vlists(GD_clust(g)[c]);
}


void rec_reset_vlists(graph_t * g)
{
    int r, c;
    node_t *u, *v, *w;

    /* fix vlists of sub-clusters */
    for (c = 1; c <= GD_n_cluster(g); c++)
        rec_reset_vlists(GD_clust(g)[c]);

    if (GD_rankleader(g))
        for (r = GD_minrank(g); r <= GD_maxrank(g); r++) {
            v = GD_rankleader(g)[r];
#ifdef DEBUG
            node_in_root_vlist(v);
#endif
            u = furthestnode(g, v, -1);
            w = furthestnode(g, v, 1);
            GD_rankleader(g)[r] = u;
#ifdef DEBUG
            assert(GD_rank(g->root)[r].v[ND_order(u)] == u);
#endif
#ifndef WITH_CGRAPH
            GD_rank(g)[r].v = ND_rank(g->root)[r].v + ND_order(u);
#else /* WITH_CGRAPH */
            GD_rank(g)[r].v = GD_rank(agroot(g))[r].v + ND_order(u);
#endif /* WITH_CGRAPH */
            GD_rank(g)[r].n = ND_order(w) - ND_order(u) + 1;
        }
}

#ifdef WITH_CGRAPH
/* realFillRanks:
 * The structures in crossing minimization and positioning require
 * that clusters have some node on each rank. This function recursively
 * guarantees this property. It takes into account nodes and edges in
 * a cluster, the latter causing dummy nodes for intervening ranks.
 * For any rank without node, we create a real node of small size. This
 * is stored in the subgraph sg, for easy removal later.
 *
 * I believe it is not necessary to do this for the root graph, as these
 * are laid out one component at a time and these will necessarily have a
 * node on each rank from source to sink levels.
 */
static Agraph_t*
realFillRanks (Agraph_t* g, int rnks[], int rnks_sz, Agraph_t* sg)
{
    int i, c;
    Agedge_t* e;
    Agnode_t* n;

    for (c = 1; c <= GD_n_cluster(g); c++)
        sg = realFillRanks (GD_clust(g)[c], rnks, rnks_sz, sg);

    if (agroot(g) == g)
        return sg;
    memset (rnks, 0, sizeof(int)*rnks_sz);
    for (n = agfstnode(g); n; n = agnxtnode(g,n)) {
        rnks[ND_rank(n)] = 1;
        for (e = agfstout(g,n); e; e = agnxtout(g,e)) {
            for (i = ND_rank(n)+1; i <= ND_rank(aghead(e)); i++) 
                rnks[i] = 1;
        }
    }
    for (i = GD_minrank(g); i <= GD_maxrank(g); i++) {
        if (rnks[i] == 0) {
            if (!sg) {
                sg = agsubg (agroot(g), "_new_rank", 1);
            }
            n = agnode (sg, NULL, 1);
            agbindrec(n, "Agnodeinfo_t", sizeof(Agnodeinfo_t), TRUE);
            ND_rank(n) = i;
            ND_lw(n) = ND_rw(n) = 0.5;
            ND_ht(n) = 1;
            ND_UF_size(n) = 1;
            alloc_elist(4, ND_in(n));
            alloc_elist(4, ND_out(n));
            agsubnode (g, n, 1);
        }
    }
    return sg;
}

static void
fillRanks (Agraph_t* g)
{
    Agraph_t* sg;
    int rnks_sz = GD_maxrank(g) + 2;
    int* rnks = N_NEW(rnks_sz, int);
    sg = realFillRanks (g, rnks, rnks_sz, NULL);
    free (rnks);
}
#endif

static void init_mincross(graph_t * g)
{
    int size;

    if (Verbose)
        start_timer();

    ReMincross = FALSE;
    Root = g;
    /* alloc +1 for the null terminator usage in do_ordering() */
    /* also, the +1 avoids attempts to alloc 0 sizes, something
       that efence complains about */
    size = agnedges(agroot(g)) + 1;
    TE_list = N_NEW(size, edge_t *);
    TI_list = N_NEW(size, int);
    mincross_options(g);
#ifdef WITH_CGRAPH
    if (GD_flags(g) & NEW_RANK)
        fillRanks (g);
#endif
    class2(g);
    decompose(g, 1);
    allocate_ranks(g);
    ordered_edges(g);
    GlobalMinRank = GD_minrank(g);
    GlobalMaxRank = GD_maxrank(g);
}

void flat_rev(Agraph_t * g, Agedge_t * e)
{
    int j;
    Agedge_t *rev;

    if (!ND_flat_out(aghead(e)).list)
        rev = NULL;
    else
        for (j = 0; (rev = ND_flat_out(aghead(e)).list[j]); j++)
            if (aghead(rev) == agtail(e))
                break;
    if (rev) {
        merge_oneway(e, rev);
        if (ED_to_virt(e) == 0)
            ED_to_virt(e) = rev;
        if ((ED_edge_type(rev) == FLATORDER)
            && (ED_to_orig(rev) == 0))
            ED_to_orig(rev) = e;
        elist_append(e, ND_other(agtail(e)));
    } else {
        rev = new_virtual_edge(aghead(e), agtail(e), e);
        if (ED_edge_type(e) == FLATORDER)
            ED_edge_type(rev) = FLATORDER;
        else
            ED_edge_type(rev) = REVERSED;
        ED_label(rev) = ED_label(e);
        flat_edge(g, rev);
    }
}

static void flat_search(graph_t * g, node_t * v)
{
    int i;
    boolean hascl;
    edge_t *e;
    adjmatrix_t *M = GD_rank(g)[ND_rank(v)].flat;

    ND_mark(v) = TRUE;
    ND_onstack(v) = TRUE;
#ifndef WITH_CGRAPH
    hascl = (ND_n_cluster(g->root) > 0);
#else /* WITH_CGRAPH */
    hascl = (GD_n_cluster(agroot(g)) > 0);
#endif /* WITH_CGRAPH */
    if (ND_flat_out(v).list)
        for (i = 0; (e = ND_flat_out(v).list[i]); i++) {
            if (hascl
                && NOT(agcontains(g, agtail(e)) && agcontains(g, aghead(e))))
                continue;
            if (ED_weight(e) == 0)
                continue;
            if (ND_onstack(aghead(e)) == TRUE) {
                assert(flatindex(aghead(e)) < M->nrows);
                assert(flatindex(agtail(e)) < M->ncols);
                ELT(M, flatindex(aghead(e)), flatindex(agtail(e))) = 1;
                delete_flat_edge(e);
                i--;
                if (ED_edge_type(e) == FLATORDER)
                    continue;
                flat_rev(g, e);
            } else {
                assert(flatindex(aghead(e)) < M->nrows);
                assert(flatindex(agtail(e)) < M->ncols);
                ELT(M, flatindex(agtail(e)), flatindex(aghead(e))) = 1;
                if (ND_mark(aghead(e)) == FALSE)
                    flat_search(g, aghead(e));
            }
        }
    ND_onstack(v) = FALSE;
}

static void flat_breakcycles(graph_t * g)
{
    int i, r, flat;
    node_t *v;

    for (r = GD_minrank(g); r <= GD_maxrank(g); r++) {
        flat = 0;
        for (i = 0; i < GD_rank(g)[r].n; i++) {
            v = GD_rank(g)[r].v[i];
            ND_mark(v) = ND_onstack(v) = FALSE;
            flatindex(v) = i;
            if ((ND_flat_out(v).size > 0) && (flat == 0)) {
                GD_rank(g)[r].flat =
                    new_matrix(GD_rank(g)[r].n, GD_rank(g)[r].n);
                flat = 1;
            }
        }
        if (flat) {
            for (i = 0; i < GD_rank(g)[r].n; i++) {
                v = GD_rank(g)[r].v[i];
                if (ND_mark(v) == FALSE)
                    flat_search(g, v);
            }
        }
    }
}

/* allocate_ranks:
 * Allocate rank structure, determining number of nodes per rank.
 * Note that no nodes are put into the structure yet.
 */
void allocate_ranks(graph_t * g)
{
    int r, low, high, *cn;
    node_t *n;
    edge_t *e;

    cn = N_NEW(GD_maxrank(g) + 2, int); /* must be 0 based, not GD_minrank */
    for (n = agfstnode(g); n; n = agnxtnode(g, n)) {
        cn[ND_rank(n)]++;
        for (e = agfstout(g, n); e; e = agnxtout(g, e)) {
            low = ND_rank(agtail(e));
            high = ND_rank(aghead(e));
            if (low > high) {
                int t = low;
                low = high;
                high = t;
            }
            for (r = low + 1; r < high; r++)
                cn[r]++;
        }
    }
    GD_rank(g) = N_NEW(GD_maxrank(g) + 2, rank_t);
    for (r = GD_minrank(g); r <= GD_maxrank(g); r++) {
        GD_rank(g)[r].an = GD_rank(g)[r].n = cn[r];
        GD_rank(g)[r].av = GD_rank(g)[r].v = N_NEW(cn[r] + 1, node_t *);
    }
    free(cn);
}

/* install a node at the current right end of its rank */
void install_in_rank(graph_t * g, node_t * n)
{
    int i, r;

    r = ND_rank(n);
    i = GD_rank(g)[r].n;
    if (GD_rank(g)[r].an <= 0) {
        agerr(AGERR, "install_in_rank, line %d: %s %s rank %d i = %d an = 0\n",
              __LINE__, agnameof(g), agnameof(n), r, i);
        return;
    }

    GD_rank(g)[r].v[i] = n;
    ND_order(n) = i;
    GD_rank(g)[r].n++;
    assert(GD_rank(g)[r].n <= GD_rank(g)[r].an);
#ifdef DEBUG
    {
        node_t *v;

        for (v = GD_nlist(g); v; v = ND_next(v))
            if (v == n)
                break;
        assert(v != NULL);
    }
#endif
    if (ND_order(n) > GD_rank(Root)[r].an) {
        agerr(AGERR, "install_in_rank, line %d: ND_order(%s) [%d] > GD_rank(Root)[%d].an [%d]\n",
              __LINE__, agnameof(n), ND_order(n), r, GD_rank(Root)[r].an);
        return;
    }
    if ((r < GD_minrank(g)) || (r > GD_maxrank(g))) {
        agerr(AGERR, "install_in_rank, line %d: rank %d not in rank range [%d,%d]\n",
              __LINE__, r, GD_minrank(g), GD_maxrank(g));
        return;
    }
    if (GD_rank(g)[r].v + ND_order(n) >
        GD_rank(g)[r].av + GD_rank(Root)[r].an) {
        agerr(AGERR, "install_in_rank, line %d: GD_rank(g)[%d].v + ND_order(%s) [%d] > GD_rank(g)[%d].av + GD_rank(Root)[%d].an [%d]\n",
              __LINE__, r, agnameof(n),GD_rank(g)[r].v + ND_order(n), r, r, GD_rank(g)[r].av+GD_rank(Root)[r].an);
        return;
    }
}

/*      install nodes in ranks. the initial ordering ensure that series-parallel
 *      graphs such as trees are drawn with no crossings.  it tries searching
 *      in- and out-edges and takes the better of the two initial orderings.
 */
void build_ranks(graph_t * g, int pass)
{
    int i, j;
    node_t *n, *n0;
    edge_t **otheredges;
    nodequeue *q;

    q = new_queue(GD_n_nodes(g));
    for (n = GD_nlist(g); n; n = ND_next(n))
        MARK(n) = FALSE;

#ifdef DEBUG
    {
        edge_t *e;
        for (n = GD_nlist(g); n; n = ND_next(n)) {
            for (i = 0; (e = ND_out(n).list[i]); i++)
                assert(MARK(aghead(e)) == FALSE);
            for (i = 0; (e = ND_in(n).list[i]); i++)
                assert(MARK(agtail(e)) == FALSE);
        }
    }
#endif

    for (i = GD_minrank(g); i <= GD_maxrank(g); i++)
        GD_rank(g)[i].n = 0;

    for (n = GD_nlist(g); n; n = ND_next(n)) {
        otheredges = ((pass == 0) ? ND_in(n).list : ND_out(n).list);
        if (otheredges[0] != NULL)
            continue;
        if (MARK(n) == FALSE) {
            MARK(n) = TRUE;
            enqueue(q, n);
            while ((n0 = dequeue(q))) {
                if (ND_ranktype(n0) != CLUSTER) {
                    install_in_rank(g, n0);
                    enqueue_neighbors(q, n0, pass);
                } else {
                    install_cluster(g, n0, pass, q);
                }
            }
        }
    }
    if (dequeue(q))
        agerr(AGERR, "surprise\n");
    for (i = GD_minrank(g); i <= GD_maxrank(g); i++) {
        GD_rank(Root)[i].valid = FALSE;
        if (GD_flip(g) && (GD_rank(g)[i].n > 0)) {
            int n, ndiv2;
            node_t **vlist = GD_rank(g)[i].v;
            n = GD_rank(g)[i].n - 1;
            ndiv2 = n / 2;
            for (j = 0; j <= ndiv2; j++)
                exchange(vlist[j], vlist[n - j]);
        }
    }

    if ((g == agroot(g)) && ncross(g) > 0)
        transpose(g, FALSE);
    free_queue(q);
}

void enqueue_neighbors(nodequeue * q, node_t * n0, int pass)
{
    int i;
    edge_t *e;

    if (pass == 0) {
        for (i = 0; i < ND_out(n0).size; i++) {
            e = ND_out(n0).list[i];
            if ((MARK(aghead(e))) == FALSE) {
                MARK(aghead(e)) = TRUE;
                enqueue(q, aghead(e));
            }
        }
    } else {
        for (i = 0; i < ND_in(n0).size; i++) {
            e = ND_in(n0).list[i];
            if ((MARK(agtail(e))) == FALSE) {
                MARK(agtail(e)) = TRUE;
                enqueue(q, agtail(e));
            }
        }
    }
}

/* construct nodes reachable from 'here' in post-order.
* This is the same as doing a topological sort in reverse order.
*/
static int postorder(graph_t * g, node_t * v, node_t ** list, int r)
{
    edge_t *e;
    int i, cnt = 0;

    MARK(v) = TRUE;
    if (ND_flat_out(v).size > 0) {
        for (i = 0; (e = ND_flat_out(v).list[i]); i++) {
            if (ED_weight(e) == 0)
                continue;
            if ((ND_node_type(aghead(e)) == NORMAL) &
                (NOT(agcontains(g, aghead(e)))))
                continue;
            if (ND_clust(aghead(e)) != ND_clust(agtail(e)))
                continue;

            if (MARK(aghead(e)) == FALSE)
                cnt += postorder(g, aghead(e), list + cnt, r);
        }
    }
    assert(ND_rank(v) == r);
    list[cnt++] = v;
    return cnt;
}

static void flat_reorder(graph_t * g)
{
    int i, j, r, pos, n_search, local_in_cnt, local_out_cnt;
    node_t *v, **left, **right, *t;
    node_t **temprank = NULL;
    edge_t *flat_e, *e;

    if (GD_has_flat_edges(g) == FALSE)
        return;
    for (r = GD_minrank(g); r <= GD_maxrank(g); r++) {
        for (i = 0; i < GD_rank(g)[r].n; i++)
            MARK(GD_rank(g)[r].v[i]) = FALSE;
        temprank = ALLOC(i + 1, temprank, node_t *);
        pos = 0;
        for (i = 0; i < GD_rank(g)[r].n; i++) {
            v = GD_rank(g)[r].v[i];

            local_in_cnt = local_out_cnt = 0;
            for (j = 0; j < ND_flat_in(v).size; j++) {
                flat_e = ND_flat_in(v).list[j];
                if ((ED_weight(flat_e) > 0)
                    && (inside_cluster(g, agtail(flat_e))))
                    local_in_cnt++;
            }
            for (j = 0; j < ND_flat_out(v).size; j++) {
                flat_e = ND_flat_out(v).list[j];
                if ((ED_weight(flat_e) > 0)
                    && (inside_cluster(g, aghead(flat_e))))
                    local_out_cnt++;
            }
            if ((local_in_cnt == 0) && (local_out_cnt == 0))
                temprank[pos++] = v;
            else {
                if ((MARK(v) == FALSE) && (local_in_cnt == 0)) {
                    left = temprank + pos;
                    n_search = postorder(g, v, left, r);
                    if (GD_flip(g) == FALSE) {
                        right = left + n_search - 1;
                        while (left < right) {
                            t = *left;
                            *left = *right;
                            *right = t;
                            left++;
                            right--;
                        }
                    }
                    pos += n_search;
                }
            }
        }
        if (pos) {
            for (i = 0; i < GD_rank(g)[r].n; i++) {
                v = GD_rank(g)[r].v[i] = temprank[i];
                ND_order(v) = i + (GD_rank(g)[r].v - GD_rank(Root)[r].v);
            }

            /* nonconstraint flat edges must be made LR */
            for (i = 0; i < GD_rank(g)[r].n; i++) {
                v = GD_rank(g)[r].v[i];
                if (ND_flat_out(v).list) {
                    for (j = 0; (e = ND_flat_out(v).list[j]); j++) {
                        if (ND_order(aghead(e)) < ND_order(agtail(e))) {
                            /*assert(ED_weight(e) == 0); */
                            delete_flat_edge(e);
                            j--;
                            flat_rev(g, e);
                        }
                    }
                }
            }
        }
        /* else do no harm! */
        GD_rank(Root)[r].valid = FALSE;
    }
    if (temprank)
        free(temprank);
}

static void reorder(graph_t * g, int r, int reverse, int hasfixed)
{
    int changed = 0, nelt;
    boolean muststay, sawclust;
    node_t **vlist = GD_rank(g)[r].v;
    node_t **lp, **rp, **ep = vlist + GD_rank(g)[r].n;

    for (nelt = GD_rank(g)[r].n - 1; nelt >= 0; nelt--) {
        lp = vlist;
        while (lp < ep) {
            /* find leftmost node that can be compared */
            while ((lp < ep) && (ND_mval(*lp) < 0))
                lp++;
            if (lp >= ep)
                break;
            /* find the node that can be compared */
            sawclust = muststay = FALSE;
            for (rp = lp + 1; rp < ep; rp++) {
                if (sawclust && ND_clust(*rp))
                    continue;   /* ### */
                if (left2right(g, *lp, *rp)) {
                    muststay = TRUE;
                    break;
                }
                if (ND_mval(*rp) >= 0)
                    break;
                if (ND_clust(*rp))
                    sawclust = TRUE;    /* ### */
            }
            if (rp >= ep)
                break;
            if (muststay == FALSE) {
                register int p1 = (ND_mval(*lp));
                register int p2 = (ND_mval(*rp));
                if ((p1 > p2) || ((p1 == p2) && (reverse))) {
                    exchange(*lp, *rp);
                    changed++;
                }
            }
            lp = rp;
        }
        if ((hasfixed == FALSE) && (reverse == FALSE))
            ep--;
    }

    if (changed) {
        GD_rank(Root)[r].valid = FALSE;
        if (r > 0)
            GD_rank(Root)[r - 1].valid = FALSE;
    }
}

static void mincross_step(graph_t * g, int pass)
{
    int r, other, first, last, dir;
    int hasfixed, reverse;

    if ((pass % 4) < 2)
        reverse = TRUE;
    else
        reverse = FALSE;
    if (pass % 2) {
        r = GD_maxrank(g) - 1;
        dir = -1;
    } /* up pass */
    else {
        r = 1;
        dir = 1;
    }                           /* down pass */

    if (pass % 2 == 0) {        /* down pass */
        first = GD_minrank(g) + 1;
        if (GD_minrank(g) > GD_minrank(Root))
            first--;
        last = GD_maxrank(g);
        dir = 1;
    } else {                    /* up pass */
        first = GD_maxrank(g) - 1;
        last = GD_minrank(g);
        if (GD_maxrank(g) < GD_maxrank(Root))
            first++;
        dir = -1;
    }

    for (r = first; r != last + dir; r += dir) {
        other = r - dir;
        hasfixed = medians(g, r, other);
        reorder(g, r, reverse, hasfixed);
    }
    transpose(g, NOT(reverse));
}

static int local_cross(elist l, int dir)
{
    int i, j, is_out;
    int cross = 0;
    edge_t *e, *f;
    if (dir > 0)
        is_out = TRUE;
    else
        is_out = FALSE;
    for (i = 0; (e = l.list[i]); i++) {
        if (is_out)
            for (j = i + 1; (f = l.list[j]); j++) {
                if ((ND_order(aghead(f)) - ND_order(aghead(e)))
                         * (ED_tail_port(f).p.x - ED_tail_port(e).p.x) < 0)
                    cross += ED_xpenalty(e) * ED_xpenalty(f);
        } else
            for (j = i + 1; (f = l.list[j]); j++) {
                if ((ND_order(agtail(f)) - ND_order(agtail(e)))
                        * (ED_head_port(f).p.x - ED_head_port(e).p.x) < 0)
                    cross += ED_xpenalty(e) * ED_xpenalty(f);
            }
    }
    return cross;
}

static int rcross(graph_t * g, int r)
{
    static int *Count, C;
    int top, bot, cross, max, i, k;
    node_t **rtop, *v;

    cross = 0;
    max = 0;
    rtop = GD_rank(g)[r].v;

    if (C <= GD_rank(Root)[r + 1].n) {
        C = GD_rank(Root)[r + 1].n + 1;
        Count = ALLOC(C, Count, int);
    }

    for (i = 0; i < GD_rank(g)[r + 1].n; i++)
        Count[i] = 0;

    for (top = 0; top < GD_rank(g)[r].n; top++) {
        register edge_t *e;
        if (max > 0) {
            for (i = 0; (e = ND_out(rtop[top]).list[i]); i++) {
                for (k = ND_order(aghead(e)) + 1; k <= max; k++)
                    cross += Count[k] * ED_xpenalty(e);
            }
        }
        for (i = 0; (e = ND_out(rtop[top]).list[i]); i++) {
            register int inv = ND_order(aghead(e));
            if (inv > max)
                max = inv;
            Count[inv] += ED_xpenalty(e);
        }
    }
    for (top = 0; top < GD_rank(g)[r].n; top++) {
        v = GD_rank(g)[r].v[top];
        if (ND_has_port(v))
            cross += local_cross(ND_out(v), 1);
    }
    for (bot = 0; bot < GD_rank(g)[r + 1].n; bot++) {
        v = GD_rank(g)[r + 1].v[bot];
        if (ND_has_port(v))
            cross += local_cross(ND_in(v), -1);
    }
    return cross;
}

int ncross(graph_t * g)
{
    int r, count, nc;

    g = Root;
    count = 0;
    for (r = GD_minrank(g); r < GD_maxrank(g); r++) {
        if (GD_rank(g)[r].valid)
            count += GD_rank(g)[r].cache_nc;
        else {
            nc = GD_rank(g)[r].cache_nc = rcross(g, r);
            count += nc;
            GD_rank(g)[r].valid = TRUE;
        }
    }
    return count;
}

static int ordercmpf(int *i0, int *i1)
{
    return (*i0) - (*i1);
}

/* flat_mval:
 * Calculate a mval for nodes with no in or out non-flat edges.
 * Assume (ND_out(n).size == 0) && (ND_in(n).size == 0)
 * Find flat edge a->n where a has the largest order and set
 * n.mval = a.mval+1, assuming a.mval is defined (>=0).
 * If there are no flat in edges, find flat edge n->a where a 
 * has the smallest order and set * n.mval = a.mval-1, assuming 
 * a.mval is > 0.
 * Return true if n.mval is left -1, indicating a fixed node for sorting.
 */
static int flat_mval(node_t * n)
{
    int i;
    edge_t *e, **fl;
    node_t *nn;

    if (ND_flat_in(n).size > 0) {
        fl = ND_flat_in(n).list;
        nn = agtail(fl[0]);
        for (i = 1; (e = fl[i]); i++)
            if (ND_order(agtail(e)) > ND_order(nn))
                nn = agtail(e);
        if (ND_mval(nn) >= 0) {
            ND_mval(n) = ND_mval(nn) + 1;
            return FALSE;
        }
    } else if (ND_flat_out(n).size > 0) {
        fl = ND_flat_out(n).list;
        nn = aghead(fl[0]);
        for (i = 1; (e = fl[i]); i++)
            if (ND_order(aghead(e)) < ND_order(nn))
                nn = aghead(e);
        if (ND_mval(nn) > 0) {
            ND_mval(n) = ND_mval(nn) - 1;
            return FALSE;
        }
    }
    return TRUE;
}

#define VAL(node,port) (MC_SCALE * ND_order(node) + (port).order)

static boolean medians(graph_t * g, int r0, int r1)
{
    int i, j, j0, lm, rm, lspan, rspan, *list;
    node_t *n, **v;
    edge_t *e;
    boolean hasfixed = FALSE;

    list = TI_list;
    v = GD_rank(g)[r0].v;
    for (i = 0; i < GD_rank(g)[r0].n; i++) {
        n = v[i];
        j = 0;
        if (r1 > r0)
            for (j0 = 0; (e = ND_out(n).list[j0]); j0++) {
                if (ED_xpenalty(e) > 0)
                    list[j++] = VAL(aghead(e), ED_head_port(e));
        } else
            for (j0 = 0; (e = ND_in(n).list[j0]); j0++) {
                if (ED_xpenalty(e) > 0)
                    list[j++] = VAL(agtail(e), ED_tail_port(e));
            }
        switch (j) {
        case 0:
            ND_mval(n) = -1;
            break;
        case 1:
            ND_mval(n) = list[0];
            break;
        case 2:
            ND_mval(n) = (list[0] + list[1]) / 2;
            break;
        default:
            qsort(list, j, sizeof(int), (qsort_cmpf) ordercmpf);
            if (j % 2)
                ND_mval(n) = list[j / 2];
            else {
                /* weighted median */
                rm = j / 2;
                lm = rm - 1;
                rspan = list[j - 1] - list[rm];
                lspan = list[lm] - list[0];
                if (lspan == rspan)
                    ND_mval(n) = (list[lm] + list[rm]) / 2;
                else {
                    int w = list[lm] * rspan + list[rm] * lspan;
                    ND_mval(n) = w / (lspan + rspan);
                }
            }
        }
    }
    for (i = 0; i < GD_rank(g)[r0].n; i++) {
        n = v[i];
        if ((ND_out(n).size == 0) && (ND_in(n).size == 0))
            hasfixed |= flat_mval(n);
    }
    return hasfixed;
}

static int nodeposcmpf(node_t ** n0, node_t ** n1)
{
    return (ND_order(*n0) - ND_order(*n1));
}

static int edgeidcmpf(edge_t ** e0, edge_t ** e1)
{
    return (AGSEQ(*e0) - AGSEQ(*e1));
}

/* following code deals with weights of edges of "virtual" nodes */
#define ORDINARY        0
#define SINGLETON       1
#define VIRTUALNODE     2
#define NTYPES          3

#define C_EE            1
#define C_VS            2
#define C_SS            2
#define C_VV            4

static int table[NTYPES][NTYPES] = {
    /* ordinary */ {C_EE, C_EE, C_EE},
    /* singleton */ {C_EE, C_SS, C_VS},
    /* virtual */ {C_EE, C_VS, C_VV}
};

static int endpoint_class(node_t * n)
{
    if (ND_node_type(n) == VIRTUAL)
        return VIRTUALNODE;
    if (ND_weight_class(n) <= 1)
        return SINGLETON;
    return ORDINARY;
}

void virtual_weight(edge_t * e)
{
    int t;
    t = table[endpoint_class(agtail(e))][endpoint_class(aghead(e))];
    ED_weight(e) *= t;
}

#ifdef DEBUG
void check_rs(graph_t * g, int null_ok)
{
    int i, r;
    node_t *v, *prev;

    fprintf(stderr, "\n\n%s:\n", g->name);
    for (r = GD_minrank(g); r <= GD_maxrank(g); r++) {
        fprintf(stderr, "%d: ", r);
        prev = NULL;
        for (i = 0; i < GD_rank(g)[r].n; i++) {
            v = GD_rank(g)[r].v[i];
            if (v == NULL) {
                fprintf(stderr, "NULL\t");
                if (null_ok == FALSE)
                    abort();
            } else {
                fprintf(stderr, "%s(%d)\t", v->name, ND_mval(v));
                assert(ND_rank(v) == r);
                assert(v != prev);
                prev = v;
            }
        }
        fprintf(stderr, "\n");
    }
}

void check_order(void)
{
    int i, r;
    node_t *v;
    graph_t *g = Root;

    for (r = GD_minrank(g); r <= GD_maxrank(g); r++) {
        assert(GD_rank(g)[r].v[GD_rank(g)[r].n] == NULL);
        for (i = 0; v = GD_rank(g)[r].v[i]; i++) {
            assert(ND_rank(v) == r);
            assert(ND_order(v) == i);
        }
    }
}
#endif

static void mincross_options(graph_t * g)
{
    char *p;
    double f;

    /* set default values */
    MinQuit = 8;
    MaxIter = 24;
    Convergence = .995;

    p = agget(g, "mclimit");
    if (p && ((f = atof(p)) > 0.0)) {
        MinQuit = MAX(1, MinQuit * f);
        MaxIter = MAX(1, MaxIter * f);
    }
}

#ifdef DEBUG
void check_exchange(node_t * v, node_t * w)
{
    int i, r;
    node_t *u;

    if ((ND_clust(v) == NULL) && (ND_clust(w) == NULL))
        return;
    assert((ND_clust(v) == NULL) || (ND_clust(w) == NULL));
    assert(ND_rank(v) == ND_rank(w));
    assert(ND_order(v) < ND_order(w));
    r = ND_rank(v);

    for (i = ND_order(v) + 1; i < ND_order(w); i++) {
        u = GD_rank(v->graph)[r].v[i];
        if (ND_clust(u))
            abort();
    }
}

void check_vlists(graph_t * g)
{
    int c, i, j, r;
    node_t *u;

    for (r = GD_minrank(g); r <= GD_maxrank(g); r++) {
        for (i = 0; i < GD_rank(g)[r].n; i++) {
            u = GD_rank(g)[r].v[i];
            j = ND_order(u);
            assert(GD_rank(Root)[r].v[j] == u);
        }
        if (GD_rankleader(g)) {
            u = GD_rankleader(g)[r];
            j = ND_order(u);
            assert(GD_rank(Root)[r].v[j] == u);
        }
    }
    for (c = 1; c <= GD_n_cluster(g); c++)
        check_vlists(GD_clust(g)[c]);
}

void node_in_root_vlist(node_t * n)
{
    node_t **vptr;

    for (vptr = GD_rank(Root)[ND_rank(n)].v; *vptr; vptr++)
        if (*vptr == n)
            break;
    if (*vptr == 0)
        abort();
}
#endif                          /* DEBUG code */