static void write_coarse
( mcxIO* xf_coarse
, mclx* mx_coarse
)
{ mclx* tmp = mclxCopy(mx_coarse)
; double mv = mclxMaxValue(tmp)
; double sc = mv ? mv / 100.0 : 1.0
; mclxUnary(tmp, fltxScale, &sc)
; mclxaWrite(tmp, xf_coarse, 4, RETURN_ON_FAIL)
; mclxFree(&tmp)
; }
static void tf_do_mcl
( mclx* mx
, double infl
, mcxbool add_transpose
)
{ mclx* mx2 = NULL, *mx3 = NULL, *cl = NULL
; mclAlgParam* mlp = NULL
; char* argv2[] = { NULL }
; mcxstatus s
; if (add_transpose)
{ mx2 = mclxCopy(mx)
; mclxAddTranspose(mx2, 0.0)
; }
s = mclAlgInterface
( &mlp
, argv2
, 0
, NULL
, add_transpose ? mx2 : mx
, ALG_CACHE_INPUT
)
; do
{ if (s)
{ mcxErr("tf-mcl", "unexpected failure")
; break
; }
mlp->mpp->mainInflation = infl
; if (mclAlgorithm(mlp) == STATUS_FAIL)
break
; if (!(cl = mclAlgParamRelease(mlp, mlp->cl_result)))
break
; mclAlgParamRelease(mlp, mlp->mx_input) /* now we own it again, either mx2 or mx */
; mx3 = mclxBlockUnion2(mx, cl)
; mclxTransplant(mx, &mx3) /* this frees mx3 */
; }
while (0)
; mclxFree(&cl)
; mclxFree(&mx2)
; mclAlgParamFree(&mlp, TRUE)
; }
static void vary_threshold
( mcxIO* xf
, FILE* fp
, int vary_a
, int vary_z
, int vary_s
, int vary_n
, unsigned mode
)
{ dim cor_i = 0, j
; int step
; mclx* mx
; unsigned long noe
; pval* allvals
; dim n_allvals = 0
; double sum_vals = 0.0
; mx = mclxRead(xf, EXIT_ON_FAIL)
; mcxIOclose(xf)
; if (transform)
mclgTFexec(mx, transform)
; noe = mclxNrofEntries(mx)
; allvals = mcxAlloc(noe * sizeof allvals[0], EXIT_ON_FAIL)
; if (!weight_scale)
{ if (mode == 'c')
weight_scale = 1.0
; else
weight_scale = vary_n
; }
n_allvals = get_n_sort_allvals(mx, allvals, noe, &sum_vals, FALSE)
; if (mode == 'c')
{ double smallest = n_allvals ? allvals[n_allvals-1] : -DBL_MAX
; if (vary_a * 1.0 / vary_n < smallest)
{ while (vary_a * 1.0 / vary_n < smallest)
vary_a++
; vary_a--
; }
mcxTell
( me
, "smallest correlation is %.2f, using starting point %.2f"
, smallest
, vary_a * 1.0 / vary_n
)
; }
if (output_flags & OUTPUT_TABLE)
{
;fprintf(fp, "L\tD\tR\tS\tcce\tEWmean\tEWmed\tEWiqr\tNDmean\tNDmed\tNDiqr\tCCF\t%s\n", mode == 'k' ? "kNN" : mode == 'l' ? "N" : "Cutoff")
;} else
{ if (output_flags & OUTPUT_KEY)
{
;fprintf(fp, "-------------------------------------------------------------------------------\n")
;fprintf(fp, " L Percentage of nodes in the largest component\n")
;fprintf(fp, " D Percentage of nodes in components of size at most %d [-div option]\n", (int) divide_g)
;fprintf(fp, " R Percentage of nodes not in L or D: 100 - L -D\n")
;fprintf(fp, " S Percentage of nodes that are singletons\n")
;fprintf(fp, " cce Expected size of component, nodewise [ sum(sz^2) / sum^2(sz) ]\n")
;fprintf(fp, "*EW Edge weight traits (mean, median and IQR, all scaled!)\n")
;fprintf(fp, " Scaling is used to avoid printing of fractional parts throughout.\n")
;fprintf(fp, " The scaling factor is %.2f [-report-scale option]\n", weight_scale)
;fprintf(fp, " ND Node degree traits [mean, median and IQR]\n")
;fprintf(fp, " CCF Clustering coefficient %s\n", compute_flags & COMPUTE_CLCF ? "(not computed; use --clcf to include this)" : "")
;fprintf(fp, " eff Induced component efficiency %s\n", compute_flags & COMPUTE_EFF ? "(not computed; use --eff to include this)" : "")
;if (mode == 'c')
fprintf(fp, "Cutoff The threshold used.\n")
;else if (mode == 't')
fprintf(fp, "*Cutoff The threshold with scale factor %.2f and fractional parts removed\n", weight_scale)
;else if (mode == 'k')
fprintf(fp, "k-NN The knn parameter\n")
;else if (mode == 'l')
fprintf(fp, "N The knn parameter (merge mode)\n")
;else if (mode == 'n')
fprintf(fp, "ceil The ceil parameter\n")
;fprintf(fp, "Total number of nodes: %lu\n", (ulong) N_COLS(mx))
;}
fprintf(fp, "-------------------------------------------------------------------------------\n")
;fprintf(fp, " L D R S cce *EWmean *EWmed *EWiqr NDmean NDmed NDiqr CCF eff %6s \n", mode == 'k' ? "k-NN" : mode == 'l' ? "N" : mode == 'n' ? "Ceil" : "Cutoff")
;fprintf(fp, "-------------------------------------------------------------------------------\n")
; }
for (step = vary_a; step <= vary_z; step += vary_s)
{ double cutoff = step * 1.0 / vary_n
; double eff = -1.0
; mclv* nnodes = mclvCanonical(NULL, N_COLS(mx), 0.0)
; mclv* degree = mclvCanonical(NULL, N_COLS(mx), 0.0)
; dim i, n_sample = 0
; double cor, y_prev, iqr = 0.0
; mclx* cc = NULL, *res = NULL
; mclv* sz, *ccsz = NULL
; int step2 = vary_z + vary_a - step
; sum_vals = 0.0
; if (mode == 't' || mode == 'c')
mclxSelectValues(mx, &cutoff, NULL, MCLX_EQT_GQ)
, res = mx
; else if (mode == 'k')
{ res = rebase_g ? mclxCopy(mx) : mx
; mclxKNNdispatch(res, step2, n_thread_l, 1)
; }
else if (mode == 'l')
{ res = mx
; mclxKNNdispatch(res, step2, n_thread_l, 0)
; }
else if (mode == 'n')
{ res = rebase_g ? mclxCopy(mx) : mx
; mclv* cv = mclgCeilNB(res, step2, NULL, NULL, NULL)
; mclvFree(&cv)
; }
sz = mclxColSizes(res, MCL_VECTOR_COMPLETE)
; mclvSortDescVal(sz)
; cc = clmUGraphComponents(res, NULL) /* fixme: user has to specify -tf '#max()' if graph is directed */
; if (cc)
{ ccsz = mclxColSizes(cc, MCL_VECTOR_COMPLETE)
; if (compute_flags & COMPUTE_EFF)
{ clmPerformanceTable pftable
; clmPerformance(mx, cc, &pftable)
; eff = pftable.efficiency
; }
}
if (mode == 't' || mode == 'c')
{ for
(
; n_allvals > 0 && allvals[n_allvals-1] < cutoff
; n_allvals--
)
; sum_vals = 0.0
; for (i=0;i<n_allvals;i++)
sum_vals += allvals[i]
; }
else if (mode == 'k' || mode == 'n' || mode == 'l')
{ n_allvals = get_n_sort_allvals(res, allvals, noe, &sum_vals, FALSE)
; }
levels[cor_i].sim_median= mcxMedian(allvals, n_allvals, sizeof allvals[0], pval_get_double, &iqr)
; levels[cor_i].sim_iqr = iqr
; levels[cor_i].sim_mean = n_allvals ? sum_vals / n_allvals : 0.0
; levels[cor_i].nb_median = mcxMedian(sz->ivps, sz->n_ivps, sizeof sz->ivps[0], ivp_get_double, &iqr)
; levels[cor_i].nb_iqr = iqr
; levels[cor_i].nb_mean = mclvSum(sz) / N_COLS(res)
; levels[cor_i].cc_exp = cc ? mclvPowSum(ccsz, 2.0) / N_COLS(res) : 0
; levels[cor_i].nb_sum = mclxNrofEntries(res)
; if (compute_flags & COMPUTE_CLCF)
{ mclv* clcf = mclgCLCFdispatch(res, n_thread_l)
; levels[cor_i].clcf = mclvSum(clcf) / N_COLS(mx)
; mclvFree(&clcf)
; }
else
levels[cor_i].clcf = 0.0
; levels[cor_i].threshold = mode == 'k' || mode == 'l' || mode == 'n' ? step2 : cutoff
; levels[cor_i].bigsize = cc ? cc->cols[0].n_ivps : 0
; levels[cor_i].n_single = 0
; levels[cor_i].n_edge = n_allvals
; levels[cor_i].n_lq = 0
; if (cc)
for (i=0;i<N_COLS(cc);i++)
{ dim n = cc->cols[N_COLS(cc)-1-i].n_ivps
; if (n == 1)
levels[cor_i].n_single++
; if (n <= divide_g)
levels[cor_i].n_lq += n
; else
break
; }
if (levels[cor_i].bigsize <= divide_g)
levels[cor_i].bigsize = 0
; y_prev = sz->ivps[0].val
/* wiki says:
A scale-free network is a network whose degree distribution follows a power
law, at least asymptotically. That is, the fraction P(k) of nodes in the
network having k connections to other nodes goes for large values of k as P(k)
~ k^−g where g is a constant whose value is typically in the range 2<g<3,
although occasionally it may lie outside these bounds.
*/
; for (i=1;i<sz->n_ivps;i++)
{ double y = sz->ivps[i].val
; if (y > y_prev - 0.5)
continue /* same as node degree seen last */
; nnodes->ivps[n_sample].val = log( (i*1.0) / (1.0*N_COLS(res))) /* x = #nodes >= k, as fraction */
; degree->ivps[n_sample].val = log(y_prev ? y_prev : 1) /* y = k = degree of node */
; n_sample++
;if(0)fprintf(stderr, "k=%.0f\tn=%d\t%.3f\t%.3f\n", (double) y_prev, (int) i, (double) nnodes->ivps[n_sample-1].val, (double) degree->ivps[n_sample-1].val)
; y_prev = y
; }
nnodes->ivps[n_sample].val = 0
; nnodes->ivps[n_sample++].val = log(y_prev ? y_prev : 1)
;if(0){fprintf(stderr, "k=%.0f\tn=%d\t%.3f\t%.3f\n", (double) sz->ivps[sz->n_ivps-1].val, (int) N_COLS(res), (double) nnodes->ivps[n_sample-1].val, (double) degree->ivps[n_sample-1].val)
;}
; mclvResize(nnodes, n_sample)
; mclvResize(degree, n_sample)
; cor = pearson(nnodes, degree, n_sample)
; levels[cor_i].degree_cor = cor * cor
;if(0)fprintf(stdout, "cor at cutoff %.2f %.3f\n\n", cutoff, levels[cor_i-1].degree_cor)
; mclvFree(&nnodes)
; mclvFree(°ree)
; mclvFree(&sz)
; mclvFree(&ccsz)
; mclxFree(&cc)
; if(output_flags & OUTPUT_TABLE)
{ fprintf
( fp
, "%lu\t%lu\t%lu\t%lu\t%lu"
"\t%6g\t%6g\t%6g"
"\t%6g\t%lu\t%6g"
, (ulong) levels[cor_i].bigsize
, (ulong) levels[cor_i].n_lq
, (ulong) N_COLS(mx) - levels[cor_i].bigsize - levels[cor_i].n_lq
, (ulong) levels[cor_i].n_single
, (ulong) levels[cor_i].cc_exp
, (double) levels[cor_i].sim_mean
, (double) levels[cor_i].sim_median
, (double) levels[cor_i].sim_iqr
, (double) levels[cor_i].nb_mean
, (ulong) levels[cor_i].nb_median
, (double) levels[cor_i].nb_iqr
)
; if (compute_flags & COMPUTE_CLCF) fprintf(fp, "\t%6g", levels[cor_i].clcf) ; else fputs("\tNA", fp)
; if (eff >= 0.0) fprintf(fp, "\t%4g", eff) ; else fputs("\tNA", fp)
; fprintf(fp, "\t%6g", (double) levels[cor_i].threshold)
; fputc('\n', fp)
; }
else
{ fprintf
( fp
, "%3d %3d %3d %3d %7d "
"%7.0f %7.0f %6.0f"
"%6.1f %6.0f %6.0f"
, 0 ? 1 : (int) (0.5 + (100.0 * levels[cor_i].bigsize) / N_COLS(mx))
, 0 ? 1 : (int) (0.5 + (100.0 * levels[cor_i].n_lq) / N_COLS(mx))
, 0 ? 1 : (int) (0.5 + (100.0 * (N_COLS(mx) - levels[cor_i].bigsize - levels[cor_i].n_lq)) / N_COLS(mx))
, 0 ? 1 : (int) (0.5 + (100.0 * levels[cor_i].n_single) / N_COLS(mx))
, 0 ? 1 : (int) (0.5 + levels[cor_i].cc_exp)
, 0 ? 1.0 : (double) (levels[cor_i].sim_mean * weight_scale)
, 0 ? 1.0 : (double) (levels[cor_i].sim_median * weight_scale)
, 0 ? 1.0 : (double) (levels[cor_i].sim_iqr * weight_scale)
, 0 ? 1.0 : (double) (levels[cor_i].nb_mean )
, 0 ? 1.0 : (double) (levels[cor_i].nb_median + 0.5 )
, 0 ? 1.0 : (double) (levels[cor_i].nb_iqr + 0.5 )
)
; if (compute_flags & COMPUTE_CLCF)
fprintf(fp, " %3d", 0 ? 1 : (int) (0.5 + (100.0 * levels[cor_i].clcf)))
; else
fputs(" -", fp)
; if (eff >= 0.0)
fprintf(fp, " %3d", (int) (0.5 + 1000 * eff))
; else
fputs(" -", fp)
; if (mode == 'c')
fprintf(fp, "%8.2f\n", (double) levels[cor_i].threshold)
; else if (mode == 't')
fprintf(fp, "%8.0f\n", (double) levels[cor_i].threshold * weight_scale)
; else if (mode == 'k' || mode == 'n' || mode == 'l')
fprintf(fp, "%8.0f\n", (double) levels[cor_i].threshold)
; }
; cor_i++
; if (res != mx)
mclxFree(&res)
; }
if (!(output_flags & OUTPUT_TABLE))
{ if (weefreemen)
{
fprintf(fp, "-------------------------------------------------------------------------------\n")
;fprintf(fp, "The graph below plots the R^2 squared value for the fit of a log-log plot of\n")
;fprintf(fp, "<node degree k> versus <#nodes with degree >= k>, for the network resulting\n")
;fprintf(fp, "from applying a particular %s cutoff.\n", mode == 'c' ? "correlation" : "similarity")
;fprintf(fp, "-------------------------------------------------------------------------------\n")
; for (j=0;j<cor_i;j++)
{ dim jj
; for (jj=30;jj<=100;jj++)
{ char c = ' '
; if (jj * 0.01 < levels[j].degree_cor && (jj+1.0) * 0.01 > levels[j].degree_cor)
c = 'X'
; else if (jj % 5 == 0)
c = '|'
; fputc(c, fp)
; }
if (mode == 'c')
fprintf(fp, "%8.2f\n", (double) levels[j].threshold)
; else
fprintf(fp, "%8.0f\n", (double) levels[j].threshold * weight_scale)
; }
fprintf(fp, "|----+----|----+----|----+----|----+----|----+----|----+----|----+----|--------\n")
;fprintf(fp, "| R^2 0.4 0.5 0.6 0.7 0.8 0.9 | 1.0 -o)\n")
;fprintf(fp, "+----+----+----+----+----+---------+----+----+----+----+----+----+----+ /\\\\\n")
;fprintf(fp, "| 2 4 6 8 2 4 6 8 | 2 4 6 8 | 2 4 6 8 | 2 4 6 8 | 2 4 6 8 | 2 4 6 8 | _\\_/\n")
;fprintf(fp, "+----+----|----+----|----+----|----+----|----+----|----+----|----+----+--------\n")
; }
else
fprintf(fp, "-------------------------------------------------------------------------------\n")
; }
mclxFree(&mx)
; mcxFree(allvals)
; }
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
; }
int main
( int argc
, const char* argv[]
)
{ mcxIO
*xfcl = NULL
, *xfctrl = NULL
, *xfcoarse= NULL
, *xfbase = NULL
, *xfcone = NULL
, *xfstack = NULL
; mclx* mxbase, *cl, *cl_coarse, *clprev, *clctrl = NULL
; mcxTing* shared = mcxTingNew("-I 4 -overlap split")
; mcxbool root = TRUE
; mcxbool have_bootstrap = FALSE
; const char* plexprefix = NULL
; const char* stem = "mcl"
; mcxbool same = FALSE
; mcxbool plex = TRUE
; mcxbool add_transpose = FALSE
; const char* b2opts = NULL
; const char* b1opts = NULL
; mcxbits write_modes = 0
; mclAlgParam* mlp = NULL
; mcxstatus status = STATUS_OK
; mcxstatus parse_status = STATUS_OK
; int multiplex_idx = 1
; int N = 0
; int n_ite = 0
; dim n_components = 0, n_cls = 0
; int a = 1, i= 0
; int n_arg_read = 0
; int delta = 0
; mcxOption* opts, *opt
; mcxTing* cline = mcxOptArgLine(argv+1, argc-1, '\'')
; mclgTF* transform = NULL
; mcxTing* transform_spec = NULL
; double iaf = 0.84
; mclx_app_init(stderr)
; if (0)
mcxLogLevel =
MCX_LOG_AGGR | MCX_LOG_MODULE | MCX_LOG_IO | MCX_LOG_GAUGE | MCX_LOG_WARN
; else
mcxLogLevelSetByString("xf4g1")
; mcxOptAnchorSortById(options, sizeof(options)/sizeof(mcxOptAnchor) -1)
; if (argc == 2 && argv[1][0] == '-' && mcxOptIsInfo(argv[1], options))
delta = 1
; else if (argc < 2)
{ help(options, shared)
; exit(0)
; }
opts = mcxOptExhaust
(options, (char**) argv, argc, 2-delta, &n_arg_read, &parse_status)
; if (parse_status != STATUS_OK)
{ mcxErr(me, "initialization failed")
; exit(1)
; }
; for (opt=opts;opt->anch;opt++)
{ mcxOptAnchor* anch = opt->anch
; switch(anch->id)
{ case MY_OPT_HELP
: help(options, shared)
; exit(0)
;
case MY_OPT_APROPOS
: help(options, shared)
; exit(0)
; break
;
case MY_OPT_NMAX
: N = atoi(opt->val)
; break
;
case MY_OPT_Z
: help(NULL, shared)
; exit(0)
; break
;
case MY_OPT_SHARED
: mcxTingPrintAfter(shared, " %s", opt->val)
; break
;
case MY_OPT_TRANSFORM
: transform_spec = mcxTingNew(opt->val)
; break
;
case MY_OPT_B1
: b1opts = opt->val
; break
;
case MY_OPT_B2
: b2opts = opt->val
; break
;
case ALG_OPT_SETENV
: mcxSetenv(opt->val)
; break
;
case ALG_OPT_QUIET
: mcxLogLevelSetByString(opt->val)
; break
;
case MY_OPT_HDP
: hdp_g = atof(opt->val)
; break
;
case MY_OPT_ADDTP
: add_transpose = TRUE
; break
;
case MY_OPT_ANNOT /* only used in command-line copying */
: break
;
case MY_OPT_IAF
: iaf = atof(opt->val) / 100
; break
;
case MY_OPT_WRITE
: if (strstr(opt->val, "stack"))
write_modes |= OUTPUT_STACK
; if (strstr(opt->val, "cone"))
write_modes |= OUTPUT_CONE
; if (strstr(opt->val, "levels"))
write_modes |= OUTPUT_STEPS
; if (strstr(opt->val, "coarse"))
write_modes |= OUTPUT_COARSE
; if (strstr(opt->val, "base"))
write_modes |= OUTPUT_BASE
; break
;
case MY_OPT_BASENAME
: xfbase = mcxIOnew(opt->val, "w")
; break
;
case MY_OPT_COARSE
: xfcoarse = mcxIOnew(opt->val, "w")
; break
;
case MY_OPT_CONE
: xfcone = mcxIOnew(opt->val, "w")
; break
;
case MY_OPT_ROOT
: root = strchr("1yY", (u8) opt->val[0]) ? TRUE : FALSE
; break
;
case MY_OPT_STACK
: xfstack = mcxIOnew(opt->val, "w")
; break
;
case MY_OPT_STEM
: stem = opt->val
; break
;
case MY_OPT_MULTIPLEX
: plex = strchr("yY1", (unsigned char) opt->val[0]) ? TRUE : FALSE
; break
;
case MY_OPT_DISPATCH
: dispatch_g = TRUE
; break
;
case MY_OPT_INTEGRATE
: integrate_g = TRUE
; break
;
case MY_OPT_CONTRACT
: break
;
case MY_OPT_SUBCLUSTERX
: subclusterx_g = TRUE, subcluster_g = TRUE
; break
;
case MY_OPT_SUBCLUSTER
: subcluster_g = TRUE
; break
;
case MY_OPT_CONTROL
: xfctrl = mcxIOnew(opt->val, "r")
; break
;
case MY_OPT_CL
: xfcl = mcxIOnew(opt->val, "r")
; have_bootstrap = TRUE
; break
;
case MY_OPT_VERSION
: app_report_version(me)
; exit(0)
;
default
: mcxExit(1)
;
}
}
mcxOptFree(&opts)
; a = 2 + n_arg_read
; if (a < argc)
{ if (strcmp(argv[a], "--"))
mcxDie
( 1
, me
, "trailing %s options require standalone '--' separator (found %s)"
, integrate_g ? "integrate" : "mcl"
, argv[a]
)
; a++
; }
if (subcluster_g + dispatch_g + integrate_g > 1)
mcxDie(1, me, "too many modes!")
; if (N && N < argc-a)
mcxErr(me, "-n argument leaves spurious option specifications")
; srandom(mcxSeed(89315))
; signal(SIGALRM, mclSigCatch)
; if (dispatch_g)
plexprefix = "dis"
; else if (!write_modes || (write_modes & OUTPUT_STEPS))
plexprefix = stem
; { mcxTing* tg = mcxTingEmpty(NULL, 30)
; if ((write_modes & OUTPUT_COARSE) && !xfcoarse)
mcxTingPrint(tg, "%s.%s", stem, "coarse")
, xfcoarse = mcxIOnew(tg->str, "w")
; if ((write_modes & OUTPUT_BASE) && !xfbase)
mcxTingPrint(tg, "%s.%s", stem, "base")
, xfbase = mcxIOnew(tg->str, "w")
; if
( (!write_modes || (write_modes & OUTPUT_CONE))
&& !xfcone
)
{ mcxTingPrint(tg, "%s.%s", stem, "cone")
; xfcone = mcxIOnew(tg->str, "w")
; mcxIOopen(xfcone, EXIT_ON_FAIL)
; fprintf(xfcone->fp, "# %s %s\n", argv[0], cline->str)
; }
if ((write_modes & OUTPUT_STACK) && !xfstack)
{ mcxTingPrint(tg, "%s.%s", stem, "stack")
; xfstack = mcxIOnew(tg->str, "w")
; mcxIOopen(xfstack, EXIT_ON_FAIL)
; fprintf(xfstack->fp, "# %s %s\n", argv[0], cline->str)
; }
mcxTingFree(&tg)
; }
if (integrate_g)
{ for (i=a;i<argc;i++)
{ mcxIO* xf = mcxIOnew(argv[i], "r")
; mclx* cl = mclxRead(xf, EXIT_ON_FAIL)
; mclxCatPush(&stck_g, cl, NULL, NULL, mclxCBdomStack, NULL, "dummy-integrate", n_cls++)
; }
integrate_results(&stck_g)
; if (xfstack)
mclxCatWrite(xfstack, &stck_g, MCLXIO_VALUE_NONE, RETURN_ON_FAIL)
; if (xfcone)
mclxCatConify(&stck_g)
, mclxCatWrite(xfcone, &stck_g, MCLXIO_VALUE_NONE, RETURN_ON_FAIL)
; return 0
; }
for (i=a;i<argc;i++)
{ if (get_interface(NULL, argv[1], shared->str, argv[i], NULL, 0, RETURN_ON_FAIL))
mcxDie(1, me, "error while testing mcl options viability (%s)", argv[i])
; }
mcxLog(MCX_LOG_APP, me, "pid %ld", (long) getpid())
/* make sure clusters align with this cluster
* status: does not seem promising.
*/
; if (xfctrl)
clctrl = mclxRead(xfctrl, EXIT_ON_FAIL)
;
/*
* Below: compute cl and mxbase.
*/
; if (xfcl)
{ cl = mclxRead(xfcl, EXIT_ON_FAIL)
; write_clustering
(cl, NULL, xfcone, xfstack, plexprefix, multiplex_idx++, NULL)
; if (subcluster_g || dispatch_g)
mclxCatPush(&stck_g, cl, NULL, NULL, mclxCBdomStack, NULL, "dummy-mclcm", n_cls++)
; mcxIOfree(&xfcl)
; if (!b1opts && !b2opts)
b1opts = ""
; mxbase = get_base(argv[1], NULL, b1opts, b2opts)
; }
else
{ mcxbits CACHE = b1opts || b2opts
? ALG_CACHE_INPUT /* cache, transform later */
: ALG_CACHE_START
; get_interface
( &mlp
, argv[1]
, shared->str
, a < argc ? argv[a] : NULL
, NULL
, CACHE
, EXIT_ON_FAIL
)
; if (a < argc)
a++
; if ((status = mclAlgorithm(mlp)) == STATUS_FAIL)
{ mcxErr(me, "failed at initial run")
; exit(1)
; }
cl_coarse = mclAlgParamRelease(mlp, mlp->cl_result)
; cl_coarse = control_test(cl_coarse, clctrl)
; write_clustering
(cl_coarse, NULL, xfcone, xfstack, plexprefix, multiplex_idx++, mlp)
; if (subcluster_g || dispatch_g)
mclxCatPush(&stck_g, cl_coarse, NULL, NULL, mclxCBdomStack, NULL, "dummy-mclcm", n_cls++)
; cl = cl_coarse
; n_ite++
; if (b1opts || b2opts)
{ mclx* mx_input = mclAlgParamRelease(mlp, mlp->mx_input)
; mxbase = get_base(NULL, mx_input, b1opts, b2opts)
/* ^ get_base frees mx_input */
; }
else
mxbase = mclAlgParamRelease(mlp, mlp->mx_start)
; }
clprev = cl
; mclAlgParamFree(&mlp, TRUE)
; if (xfbase)
{ dim nre = mclxNrofEntries(mxbase)
; mcxLog(MCX_LOG_APP, me, "base has %lu entries", (ulong) nre)
; mclxaWrite(mxbase, xfbase, MCLXIO_VALUE_GETENV, EXIT_ON_FAIL)
; mcxIOclose(xfbase)
; }
if (subcluster_g || dispatch_g)
iaf = iaf ? 1/iaf : 1.414
; while
( (!dispatch_g && (!N || n_ite < N))
|| (dispatch_g && a < argc)
)
{ mclx* mx_coarse = NULL, *clnext = NULL
; dim dist_new_prev = 0, dist_prev_new = 0
; mclx* clnew = NULL
; mcxbool faith = FALSE
; double inflation = -1.0
; if (subcluster_g)
mx_coarse
= subclusterx_g
? mclxBlockPartition(mxbase, clprev, 50)
: mclxBlockUnion(mxbase, clprev)
/* have to copy mxbase as mx_coarse is freed.
* Even if it were not freed, it is probably transformed.
*/
; else if (dispatch_g)
mx_coarse = mclxCopy(mxbase)
; else
{ mx_coarse = get_coarse(mxbase, clprev, add_transpose)
; if (n_ite == 1)
{ mclx* cc = clmUGraphComponents(mx_coarse, NULL) /* fixme; mx_coarse garantueed UD ? */
; n_components = N_COLS(cc)
; mclxFree(&cc)
; }
}
if (xfcoarse)
write_coarse(xfcoarse, mx_coarse)
; get_interface
( &mlp
, NULL
, shared->str
, a < argc ? argv[a] : NULL
, mx_coarse
, ALG_CACHE_START
, EXIT_ON_FAIL
)
; inflation = mlp->mpp->mainInflation
; BIT_OFF(mlp->modes, ALG_DO_SHOW_PID | ALG_DO_SHOW_JURY)
; if ((status = mclAlgorithm(mlp)) == STATUS_FAIL)
{ mcxErr(me, "failed")
; mcxExit(1)
; }
cl_coarse = mclAlgParamRelease(mlp, mlp->cl_result)
; if (xfcoarse)
mclxaWrite(cl_coarse, xfcoarse, MCLXIO_VALUE_NONE, RETURN_ON_FAIL)
; if (dispatch_g || subcluster_g)
clnext = cl_coarse
; else
clnext = mclxCompose(clprev, cl_coarse, 0)
, clnext = control_test(clnext, clctrl)
, mclxFree(&cl_coarse)
; clmSJDistance
(clprev, clnext, NULL, NULL, &dist_prev_new, &dist_new_prev)
; if (dist_prev_new + dist_new_prev)
{ write_clustering
(clnext, clprev, xfcone, xfstack, plexprefix, multiplex_idx++, mlp)
; clnew = clnext
; if (subcluster_g || dispatch_g)
mclxCatPush(&stck_g, clnext, NULL, NULL, mclxCBdomStack, NULL, "dummy-mclcm", n_cls++)
; else
mclxFree(&clprev)
; clprev = clnew
; }
else if
( N_COLS(clnext) > n_components
&& inflation * iaf > 1.2
&& inflation * iaf < 10
)
{ mclxFree(&clnext)
; inflation *= iaf
; mcxTingPrintAfter(shared, " -I %.2f", inflation)
; mcxLog(MCX_LOG_APP, me, "setting inflation to %.2f", inflation)
; faith = TRUE
; }
/* i.e. vanilla mode, contraction */
else if (!subcluster_g && !dispatch_g)
{ mclx* cc
; mclxFree(&clnext)
; mclxAddTranspose(mx_coarse, 1.0)
; cc = clmUGraphComponents(mx_coarse, NULL)
; if (N_COLS(cc) < N_COLS(clprev))
{ mclx* ccback = mclxCompose(clprev, cc, 0)
; write_clustering
(ccback, clprev, xfcone, xfstack, plexprefix, multiplex_idx++, NULL)
; mclxFree(&clprev)
; clprev = ccback
; mcxTell(me, "connected components added as root clustering")
; }
if (root && N_COLS(cc) > 1)
{ mclx* root = mclxCartesian
( mclvCanonical(NULL, 1, 0)
, mclvCopy(NULL, mxbase->dom_cols)
, 1.0
)
; write_clustering
(root, clprev, xfcone, xfstack, plexprefix, multiplex_idx++, NULL)
; mclxFree(&clprev)
; mcxTell(me, "universe added as root clustering")
; clprev = root
; clnew = NULL
; }
mclxFree(&cc)
; }
else if (subcluster_g || dispatch_g)
mclxFree(&clnext)
; mclAlgParamFree(&mlp, TRUE) /* frees mx_coarse */
; if (!clnew && !faith)
{ same = TRUE
; break
; }
a++
; if (dispatch_g && a == argc)
break
; n_ite++
; }
if (same)
mcxLog(MCX_LOG_MODULE, me, "no further contraction: halting")
; if (dispatch_g)
integrate_results(&stck_g)
; else if (subcluster_g)
mclxCatReverse(&stck_g)
; if (dispatch_g || subcluster_g)
{ dim j
; if (xfstack)
mclxCatWrite(xfstack, &stck_g, MCLXIO_VALUE_NONE, RETURN_ON_FAIL)
; if (xfcone && ! mclxCatConify(&stck_g))
mclxCatWrite(xfcone, &stck_g, MCLXIO_VALUE_NONE, RETURN_ON_FAIL)
; for (j=0;j<stck_g.n_level;j++)
{ mclxAnnot* an = stck_g.level+j
; mclxFree(&an->mx)
; }
mcxFree(stck_g.level)
; }
mcxIOfree(&xfcoarse)
; mcxIOfree(&xfbase)
; mcxIOfree(&xfcone)
; mcxIOfree(&xfstack)
; mcxTingFree(&shared)
; if (!dispatch_g && !subcluster_g) /* fixme fixme fixme */
mclxFree(&clprev)
; mclxFree(&mxbase)
; mclvFree(&start_col_sums_g)
; mcxTingFree(&cline)
; helpful_reminder()
; return STATUS_OK
; }