mclv* reduce_v
( const mclv* u
)
{ mclv* v = mclvClone(u)
; dim n = v->n_ivps
; double s = mclvSum(v)
; double sq = mclvPowSum(v, 2.0)
; if (s)
mclvSelectGqBar(v, 0.25 * sq / s)
;fprintf(stderr, "from %d to %d entries\n", (int) n, (int) v->n_ivps)
; return v
; }
static mclv* matrix_vector
( const mclx* mx
, const mclv* vec
)
{ mclv* res = mclvClone(mx->dom_rows)
; dim i, j
; mclvMakeConstant(res, 0.0)
; for (i=0;i<vec->n_ivps;i++)
{ mclv* c = mx->cols + vec->ivps[i].idx
; for (j=0;j<c->n_ivps;j++)
res->ivps[c->ivps[j].idx].val += 1.0
; }
mclvUnary(res, fltxCopy, NULL)
; return res
; }
static mclx* get_base
( const char* fn_input
, mclx* mx_input
, const char* b1opts
, const char* b2opts
)
{ mclAlgParam* mlp = NULL
; mcxstatus status = STATUS_FAIL
; mclx* mxbase = NULL
; get_interface
( &mlp
, fn_input
, b2opts ? b2opts : b1opts
, NULL
, mx_input
, b2opts ? ALG_CACHE_EXPANDED : ALG_CACHE_START
, EXIT_ON_FAIL
)
; if (b2opts)
{ mlp->mpp->mainLoopLength = 1
; mlp->mpp->mainInflation = 1.0
; mlp->expand_only = TRUE
; mcxLog(MCX_LOG_APP, me, "computing expanded matrix")
; if ((status = mclAlgorithm(mlp)) == STATUS_FAIL)
{ mcxErr(me, "failed")
; mcxExit(1)
; }
mcxLog(MCX_LOG_APP, me, "done computing expanded matrix")
; mxbase = mclAlgParamRelease(mlp, mlp->mx_expanded)
; }
else
{ if (mclAlgorithmStart(mlp, FALSE))
mcxDie(1, me, "-b1 option start-up failed")
; mxbase = mclAlgParamRelease(mlp, mlp->mx_start)
; start_col_sums_g = mclvClone(mlp->mx_start_sums)
; }
mclAlgParamFree(&mlp, TRUE)
; return mxbase
; }
static mclv* run_through
( const mclx* mx
)
{ mclv* starts = mclvClone(mx->dom_cols)
; dim n_starts_previous = starts->n_ivps + 1
; dim n_steps = 0
; while (n_starts_previous > starts->n_ivps)
{ mclv* new_starts = matrix_vector(mx, starts)
; mclvMakeCharacteristic(new_starts)
; n_starts_previous = starts->n_ivps
; mclvFree(&starts)
; starts = new_starts
; n_steps++
; fputc('.', stderr)
; }
if (n_steps)
fputc('\n', stderr)
; return starts
; }
mclVector* mclvCanonicalEmbed
( mclv* dst
, const mclv* src
, dim nr
, double val
)
{ mclIvp* ivp
; dim d = 0
; mclv* src_clone = NULL
; if (dst == src)
src_clone = mclvClone(src)
, src = src_clone
; dst = mclvResize(dst, nr)
/* set everything to val */
; ivp = dst->ivps
; while (ivp < dst->ivps+dst->n_ivps)
{ ivp->idx = d++
; (ivp++)->val = val
; }
/* insert src values */
/* fixme: use better implementation,
* preferably with a callback
*/
ivp = dst->ivps
; for (d=0;d<src->n_ivps;d++)
{ ivp = mclvGetIvp(dst, src->ivps[d].idx, ivp)
; if (ivp)
ivp->val = src->ivps[d].val
; }
if (src_clone)
mclvFree(&src_clone)
; return dst
; }
ofs fire_node
( const mclx* mx
, dim i
, mclv** seenpp
)
{ mclv* v = mx->cols+i
; mclv* seen = mclvInsertIdx(NULL, v->vid, 1.0)
; mclv* todo = mclvClone(v)
; mcxstatus s = STATUS_OK
; dim level = 0
;if(0)fprintf(stderr, "node %d\n", (int) i)
; while(todo->n_ivps && !s)
s = fire_node_next(mx, seen, todo, i)
, level++
; mclvFree(&todo)
; if (seenpp)
seenpp[0] = seen
; else
mclvFree(&seen)
; return s ? -1 : level
; }
void pairwise_setops
( mclx* mx1
, mclx* mx2
, mcxbits modes
)
{ dim t, u, n_tst = 0
; mclv* cache = mclvInit(NULL)
; mclv* meet = mclvInit(NULL)
; mclv* join = mclvInit(NULL)
; mclv* diff = mclvInit(NULL)
; mcxbool overwrite = modes & MMM_OVERWRITE
; dim n_zero_meet = 0, n_plus_meet = 0
; mclv* (*fn_meet)(const mclv* lft, const mclv* rgt, mclv* dst) = mcldMeet
; mclv* (*fn_minus)(const mclv* lft, const mclv* rgt, mclv* dst) = mcldMinus1
; if (modes & MMM_MEET2)
fn_meet = mcldMeet2
, fn_minus = mcldMinus
/* the point of overwrite is to have
* a lft == dst or rgt == dst pattern.
*/
; for (t=0;t<N_COLS(mx1);t++)
{ for (u=0;u<N_COLS(mx2);u++)
{ mclv* dst = overwrite ? (modes & MMM_RIGHT ? mx1->cols+u : mx2->cols+t) : diff
; if (overwrite)
mclvCopy(cache, dst) /* cache column, reinstate later */
; if (modes & MMM_BINARY)
mclvBinary(mx1->cols+t, mx2->cols+u, dst, fltLaNR)
; else
fn_minus(mx1->cols+t, mx2->cols+u, dst) /* compute t / u */
; if (overwrite)
mclvCopy(diff, dst)
, mclvCopy(dst, cache) /* reinstate column */
/* diff contains t / u */
; dst = overwrite ? dst : meet /* cache column, same as above */
; if (modes & MMM_BINARY)
mclvBinary(mx1->cols+t, mx2->cols+u, dst, fltLaR)
; else
fn_meet(mx1->cols+t, mx2->cols+u, dst)
; if (overwrite)
mclvCopy(meet, dst)
, mclvCopy(dst, cache) /* meet contains t /\ u */
; mcldMerge(diff, meet, join) /* join should be identical to column t */
; if (meet->n_ivps)
n_plus_meet++
; else
n_zero_meet++
; if (modes & MMM_CHECK)
{ mclv* dediff = mclvClone(mx1->cols+t)
; mclv* demeet = mclvClone(mx1->cols+t)
; dim nd = mclvUpdateMeet(dediff, diff, fltSubtract)
; dim nm = mclvUpdateMeet(demeet, meet, fltSubtract)
; if
( diff->n_ivps + meet->n_ivps != mx1->cols[t].n_ivps
|| !mcldEquate(join, mx1->cols+t, MCLD_EQT_EQUAL)
|| diff->n_ivps != nd
|| meet->n_ivps != nm
)
{ mclvaDump(mx1->cols+t, stdout, -1, " ", MCLVA_DUMP_HEADER_ON)
; mclvaDump(mx2->cols+u, stdout, -1, " ", MCLVA_DUMP_HEADER_ON)
; mclvaDump(meet, stdout, -1, " ", MCLVA_DUMP_HEADER_ON)
; mclvaDump(diff, stdout, -1, " ", MCLVA_DUMP_HEADER_ON)
; mcxDie(1, me, "rats")
; }
mclvFree(&dediff)
; mclvFree(&demeet)
; }
n_tst++
; }
}
fprintf
( stdout
, "meet was nonempty %.2f\n"
, (double) (n_plus_meet * 1.0f / n_tst)
)
; fprintf
( stdout
, "%d successful tests in %s%s %s mode (checked: %s)\n"
, (int) n_tst
, overwrite ? "overwrite" : "create"
, overwrite ? ( modes & MMM_RIGHT ? "-right" : "-left" ) : ""
, modes & MMM_BINARY
? "generic"
: "update"
, (modes & MMM_CHECK ? "yes" : "no")
)
; fprintf
( stdout
, "meet-can: %10lu\n"
"meet-zip: %10lu\n"
"meet-s/l: %10lu\n"
"diff-can: %10lu\n"
"diff-zip: %10lu\n"
"diff-s/l: %10lu\n"
, (ulong) nu_meet_can
, (ulong) nu_meet_zip
, (ulong) nu_meet_sl
, (ulong) nu_diff_can
, (ulong) nu_diff_zip
, (ulong) nu_diff_sl
)
; mclvFree(&cache)
; mclvFree(&meet)
; mclvFree(&join)
; mclvFree(&diff)
; }
static mclx* make_mx_from_pars
( mclxIOstreamer* streamer
, stream_state* iface
, void (*ivpmerge)(void* ivp1, const void* ivp2)
, mcxbits bits
)
{ mclpAR* pars = iface->pars
; long dc_max_seen = iface->map_c->max_seen
; long dr_max_seen = iface->map_r->max_seen
; mclx* mx = NULL
; mclv* domc, *domr
; dim i
; if (bits & MCLXIO_STREAM_235ANY)
{ if (streamer->cmax_235 > 0 && dc_max_seen < streamer->cmax_235 - 1)
dc_max_seen = streamer->cmax_235-1
; }
else if (bits & MCLXIO_STREAM_123)
{ if (streamer->cmax_123 > 0 && dc_max_seen < streamer->cmax_123 - 1)
dc_max_seen = streamer->cmax_123-1
; if (streamer->rmax_123 > 0 && dr_max_seen < streamer->rmax_123 - 1)
dr_max_seen = streamer->rmax_123-1
; }
mcxTell("stream", "maxc=%d maxr=%d", (int) dc_max_seen, (int) dr_max_seen)
; if (iface->pars_n_used != iface->map_c->max_seen+1)
mcxDie
( 1
, module
, "internal discrepancy: n_pars=%lu max_seen+1=%lu"
, (ulong) iface->pars_n_used
, (ulong) (iface->map_c->max_seen+1)
)
; if (dc_max_seen < 0 || dr_max_seen < 0)
{ if (dc_max_seen < -1 || dr_max_seen < -1)
{ mcxErr(module, "bad apples %ld %ld", dc_max_seen, dr_max_seen)
; return NULL
; }
else
mcxTell(module, "no assignments yield void/empty matrix")
; }
/* fixme: with extend and same tab, should still copy.
* then, there are still occasions where one would
* want to go the sparse route
*/
domc = iface->map_c->tab && (iface->bits & MCLXIO_STREAM_CTAB_RO)
? mclvClone(iface->map_c->tab->domain)
: mclvCanonical(NULL, dc_max_seen+1, 1.0)
; domr = iface->map_r->tab && (iface->bits & MCLXIO_STREAM_RTAB_RO)
? mclvClone(iface->map_r->tab->domain)
: mclvCanonical(NULL, dr_max_seen+1, 1.0)
; if (! (mx = mclxAllocZero(domc, domr)))
{ mclvFree(&domc)
; mclvFree(&domr)
; }
else
for (i=0;i<iface->pars_n_used;i++) /* careful with signedness */
{ long d = domc->ivps[i].idx
;if(DEBUG3)fprintf(stderr, "column %d alloc %d\n", (int) d, (int) iface->pars_n_alloc);
; mclvFromPAR(mx->cols+i, pars+d, 0, ivpmerge, NULL)
; }
return mx
; }
double get_score
( const mclv* c
, const mclv* d
, const mclv* c_start
, const mclv* d_start
, const mclv* c_end
, const mclv* d_end
)
{ mclv* vecc = mclvClone(c)
; mclv* vecd = mclvClone(d)
; mclv* meet_c = mcldMeet(vecc, vecd, NULL)
; mclv* meet_d = mcldMeet(vecd, meet_c, NULL)
; mclv* cwid = mclvBinary(c_end, c_start, NULL, fltSubtract)
; mclv* dwid = mclvBinary(d_end, d_start, NULL, fltSubtract)
; mclv* rmin = mclvBinary(c_end, d_end, NULL, fltMin)
; mclv* lmax = mclvBinary(c_start, d_start, NULL, fltMax)
; mclv* delta = mclvBinary(rmin, lmax, NULL, fltSubtract)
; mclv* weightc, *weightd
; double ip, cd, csn, meanc, meand, mean, euclid, meet_fraction, score, sum_meet_c, sum_meet_d, reduction_c, reduction_d
; int nmeet = meet_c->n_ivps
; int nldif = vecc->n_ivps - nmeet
; int nrdif = vecd->n_ivps - nmeet
; mclvSelectGqBar(delta, 0.0)
; weightc= mclvBinary(delta, cwid, NULL, mydiv)
; weightd= mclvBinary(delta, dwid, NULL, mydiv)
#if 0
;if (c != d)mclvaDump
( cwid
, stdout
, 5
, "\n"
, 0)
,mclvaDump
( dwid
, stdout
, 5
, "\n"
, 0)
#endif
; sum_meet_c = 0.01 + mclvSum(meet_c)
; sum_meet_d = 0.01 + mclvSum(meet_d)
; mclvBinary(meet_c, weightc, meet_c, fltMultiply)
; mclvBinary(meet_d, weightd, meet_d, fltMultiply)
; reduction_c = mclvSum(meet_c) / sum_meet_c
; reduction_d = mclvSum(meet_d) / sum_meet_d
; ip = mclvIn(meet_c, meet_d)
; cd = sqrt(mclvPowSum(meet_c, 2.0) * mclvPowSum(meet_d, 2.0))
; csn = cd ? ip / cd : 0.0
; meanc = meet_c->n_ivps ? mclvSum(meet_c) / meet_c->n_ivps : 0.0
; meand = meet_d->n_ivps ? mclvSum(meet_d) / meet_d->n_ivps : 0.0
; mean = MCX_MIN(meanc, meand)
; euclid = 0
? 1.0
: ( mean
? sqrt(mclvPowSum(meet_c, 2.0) / mclvPowSum(vecc, 2.0))
: 0.0
)
; meet_fraction = pow((meet_c->n_ivps * 1.0 / vecc->n_ivps), 1.0)
; score = mean * csn * euclid * meet_fraction * 1.0
; mclvFree(&meet_c)
; mclvFree(&meet_d)
; fprintf
( stdout
, "%10d%10d%10d%10d%10d%10g%10g%10g%10g%10g%10g%10g\n"
, (int) c->vid
, (int) d->vid
, (int) nldif
, (int) nrdif
, (int) nmeet
, score
, mean
, csn
, euclid
, meet_fraction
, reduction_c
, reduction_d
)
; return score
; }
static dim clm_clm_prune
( mclx* mx
, mclx* cl
, dim prune_sz
, mclx** cl_adjustedpp
, dim* n_sink
, dim* n_source
)
{ dim d, n_adjusted = 0
; mclx* cl_adj = mclxCopy(cl)
; mclv* cid_affected = mclvClone(cl->dom_cols)
; const char* me = "clmAssimilate"
; double bar_affected = 1.5
; mclx *el_to_cl = NULL
; mclx *el_on_cl = NULL
; mclx *cl_on_cl = NULL
; mclx *cl_on_el = NULL
; *n_sink = 0
; *n_source = 0
; mclvMakeConstant(cid_affected, 1.0)
; mclxColumnsRealign(cl_adj, mclvSizeCmp)
; *cl_adjustedpp = NULL
; clmCastActors
(&mx, &cl_adj, &el_to_cl, &el_on_cl, &cl_on_cl, &cl_on_el, 0.95)
; mclxFree(&cl_on_el)
; for (d=0;d<N_COLS(cl_on_cl);d++)
{ mclv* clthis = cl_adj->cols+d
; mclv* cllist = cl_on_cl->cols+d
; mclp* pself = mclvGetIvp(cllist, clthis->vid, NULL)
; double self_val = -1.0
; if (pself)
self_val = pself->val
, pself->val *= 1.001 /* to push it up in case of equal weights */
;if(0)fprintf(stderr, "test size %d\n", (int) clthis->n_ivps)
; if (prune_sz && clthis->n_ivps > prune_sz)
continue
; while (1)
{ mclv* clthat
; dim e
; if (cllist->n_ivps < 2)
break
; mclvSort(cllist, mclpValRevCmp)
/* now get biggest mass provided that cluster
* ranks higher (has at least as many entries)
*
* fixme/todo: we probably have a slight order
* dependency for some fringe cases. If provable
* then either solve or document it.
*/
; for (e=0;e<cllist->n_ivps;e++)
if (cllist->ivps[e].idx >= clthis->vid)
break
/* found none or itself */
; if (e == cllist->n_ivps || cllist->ivps[e].idx == clthis->vid)
break
; if /* Should Not Happen */
(!(clthat
= mclxGetVector(cl_adj, cllist->ivps[e].idx, RETURN_ON_FAIL, NULL)
) )
break
/* works for special case prune_sz == 0 */
/* if (clthat->n_ivps + clthis->n_ivps > prune_sz) */
/* ^iced. inconsistent behaviour as k grows. */
; { mcxLog
( MCX_LOG_LIST
, me
, "source %ld|%lu|%.3f absorbed by %ld|%lu|%.3f"
, clthis->vid, (ulong) clthis->n_ivps, self_val
, clthat->vid, (ulong) clthat->n_ivps, cllist->ivps[0].val
)
; n_adjusted += clthis->n_ivps
; (*n_sink)++
/* note: we could from our precomputed cl_on_cl
* obtain that A is absorbed in B, B is absorbed in C.
* below we see that A will be merged with B,
* and the result will then be merged with C.
* This depends on the fact that cl_adj is ordered
* on increasing cluster size.
*/
; mcldMerge(cl_adj->cols+d, clthat, clthat)
; mclvResize(cl_adj->cols+d, 0)
; mclvInsertIdx(cid_affected, clthat->vid, 2.0)
; }
break
; }
mclvSort(cllist, mclpIdxCmp)
; }
mclxFree(&cl_on_cl)
; mclxFree(&el_on_cl)
; mclxFree(&el_to_cl)
; mclxMakeCharacteristic(cl)
; mclvUnary(cid_affected, fltxGT, &bar_affected)
; *n_source = cid_affected->n_ivps
; mclvFree(&cid_affected)
; mclxColumnsRealign(cl_adj, mclvSizeRevCmp)
; if (!n_adjusted)
{ mclxFree(&cl_adj)
; return 0
; }
mclxUnary(cl_adj, fltxCopy, NULL)
; mclxMakeCharacteristic(cl_adj)
; *cl_adjustedpp = cl_adj
; return n_adjusted
; }
static dim clm_clm_adjust
( mclx* mx
, mclx* cl
, dim cls_size_max
, mclx** cl_adjustedpp
, mclv** cid_affectedpp
, mclv** nid_affectedpp
)
{ dim i, j, n_adjusted = 0
; mclx* cl_adj = mclxCopy(cl)
; mclv* cid_affected = mclvClone(cl->dom_cols)
; mclv* nid_affected = mclvClone(mx->dom_cols)
; double bar_affected = 1.5
; const char* e1 = getenv("MCL_ADJ_FMAX")
; const char* e2 = getenv("MCL_ADJ_EMASS")
; double f1 = e1 ? atof(e1) : 2
; double f2 = e2 ? atof(e2) : 3
; mcxbool loggit = mcxLogGet( MCX_LOG_CELL | MCX_LOG_INFO )
; clmVScore sc
; mclx *el_to_cl = NULL
; mclx *el_on_cl = NULL
; mclx *cl_on_cl = NULL
; mclx *cl_on_el = NULL
; *cl_adjustedpp = NULL
; *cid_affectedpp = NULL
; *nid_affectedpp = NULL
; clmCastActors
(&mx, &cl, &el_to_cl, &el_on_cl, &cl_on_cl, &cl_on_el, 0.95)
; mclxFree(&cl_on_cl)
; mclxFree(&cl_on_el)
; mclvMakeConstant(cid_affected, 1.0)
; mclvMakeConstant(nid_affected, 1.0)
; for (i=0;i<N_COLS(cl_adj);i++)
cl_adj->cols[i].val = 0.5
/* Proceed with smallest clusters first.
* Caller has to take care of mclxColumnsRealign
*/
; for (i=0;i<N_COLS(cl);i++)
{ mclv* clself = cl->cols+i
/* Only consider nodes in clusters of
* size <= cls_size_max
*/
; if (cls_size_max && clself->n_ivps > cls_size_max)
break
/* Clusters that have been marked for inclusion
* cannot play.
*/
; if (cl_adj->cols[i].val > 1)
continue
; for (j=0;j<clself->n_ivps;j++)
{ long nid = clself->ivps[j].idx
; long nos = mclvGetIvpOffset(mx->dom_cols, nid, -1)
; mclv* clidvec = mclxGetVector(el_on_cl, nid, RETURN_ON_FAIL, NULL)
; double eff_alien_bsf = 0.0, eff_alien_max_bsf = 0.0 /* best so far*/
; double eff_self = 0.0, eff_self_max = 0.0
; long cid_alien = -1, cid_self = -1
; clmVScore sc_self = { 0 }, sc_alien = { 0 }
; dim f
; if (nos < 0 || !clidvec)
{ mcxErr
("clmDumpNodeScores panic", "node <%ld> does not belong", nid)
; continue
; }
clmVScanDomain(mx->cols+nos, clself, &sc)
; clmVScoreCoverage(&sc, &eff_self, &eff_self_max)
; cid_self = clself->vid
; sc_self = sc
; if (loggit)
mcxLog2
( us
, "node %ld in cluster %ld eff %.3f,%.3f sum %.3f"
, nid
, cid_self
, eff_self
, eff_self_max
, sc.sum_i
)
; for (f=0;f<clidvec->n_ivps;f++)
{ long cid = clidvec->ivps[f].idx
; mclv* clvec = mclxGetVector(cl, cid, RETURN_ON_FAIL, NULL)
/* ^ overdoing: cid == clvec->vid */
; double eff, eff_max
; if (!clvec)
{ mcxErr
( "clmAdjust panic"
, "cluster <%ld> node <%ld> mishap"
, cid
, nid
)
; continue
; }
/* fixme: document or remove first condition
*
*/
if ((0 && clvec->n_ivps <= clself->n_ivps) || clvec->vid == cid_self)
continue
; clmVScanDomain(mx->cols+nos, clvec, &sc)
; clmVScoreCoverage(&sc, &eff, &eff_max)
#if 0
# define PIVOT eff > eff_alien_bsf
#else
# define PIVOT eff_max > eff_alien_max_bsf
#endif
; if
( PIVOT
|| sc.sum_i >= 0.5
)
eff_alien_bsf = eff
, eff_alien_max_bsf = eff_max
, cid_alien = clvec->vid
, sc_alien = sc
; if (sc.sum_i >= 0.5)
break
; }
if (loggit)
mcxLog2
( us
, " -> best alien %ld eff %.3f,%.3f sum %.3f"
, cid_alien
, eff_alien_bsf
, eff_alien_max_bsf
, sc_alien.sum_i
)
/* below: use sum_i as mass fraction
* (clmAdjust framework uses stochastic * matrix)
*/
; if
( cid_alien >= 0
&& cid_self >= 0
&& f1 * sc_alien.max_i >= sc_self.max_i
&& ( ( eff_alien_bsf > eff_self
&& sc_alien.sum_i > sc_self.sum_i
)
|| ( pow(sc_alien.sum_i, f2) >= sc_self.sum_i
&& pow(eff_self, f2) <= eff_alien_bsf
)
)
/* So, if max is reasonable
* and efficiency is better and mass is better
* or if mass is ridiculously better -> move
* Somewhat intricate and contrived, yes.
*/
)
{ mclv* acceptor
= mclxGetVector(cl_adj, cid_alien, RETURN_ON_FAIL, NULL)
; mclv* donor
= mclxGetVector(cl_adj, cid_self, RETURN_ON_FAIL, NULL)
; if (!donor || !acceptor || acceptor == donor)
continue
; mclvInsertIdx(donor, nid, 0.0)
; mclvInsertIdx(acceptor, nid, 1.0)
; acceptor->val = 1.5
; if (mcxLogGet(MCX_LOG_LIST))
{ mclv* nb = mx->cols+nos
; double mxv = mclvMaxValue(nb)
; double avg = nb->n_ivps ? mclvSum(nb) / nb->n_ivps : -1.0
; mcxLog
( MCX_LOG_LIST
, us
, "mov %ld (%ld %.2f %.2f)"
" %ld (cv=%.2f cm=%.2f s=%.2f m=%.2f #=%lu)"
" to %ld (cv=%.2f cm=%.2f s=%.2f m=%.2f #=%lu)"
, nid
, (long) nb->n_ivps, mxv, avg
, cid_self
, eff_self, eff_self_max, sc_self.sum_i, sc_self.max_i
, (ulong) (sc_self.n_meet + sc_self.n_ddif)
, cid_alien
, eff_alien_bsf, eff_alien_max_bsf, sc_alien.sum_i, sc_alien.max_i
, (ulong) (sc_alien.n_meet + sc_alien.n_ddif)
)
; }
n_adjusted++
; mclvInsertIdx(cid_affected, cid_alien, 2.0)
; mclvInsertIdx(cid_affected, cid_self, 2.0)
; mclvInsertIdx(nid_affected, nid, 2.0)
; }
}
}
mclxFree(&el_on_cl)
; mclxFree(&el_to_cl)
; for (i=0;i<N_COLS(cl_adj);i++)
cl_adj->cols[i].val = 0.0
; mclxMakeCharacteristic(cl)
; if (!n_adjusted)
{ mclxFree(&cl_adj)
; mclvFree(&cid_affected)
; mclvFree(&nid_affected)
; return 0
; }
mclxUnary(cl_adj, fltxCopy, NULL)
; mclxMakeCharacteristic(cl_adj)
/* FIRST REMOVE ENTRIES set to zero (sssst now .. */
/* ...) and THEN make it characteristic again */
; mclvUnary(cid_affected, fltxGT, &bar_affected)
; mclvUnary(nid_affected, fltxGT, &bar_affected)
; *cl_adjustedpp = cl_adj
; *cid_affectedpp = cid_affected
; *nid_affectedpp = nid_affected
; return n_adjusted
; }
