Store graph callbacks in a structure
[lttv.git] / lttv / lttv / sync / event_analysis_chull.c
CommitLineData
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1/* This file is part of the Linux Trace Toolkit viewer
2 * Copyright (C) 2009 Benjamin Poirier <benjamin.poirier@polymtl.ca>
3 *
4 * This program is free software; you can redistribute it and/or modify
5 * it under the terms of the GNU General Public License Version 2 as
6 * published by the Free Software Foundation;
7 *
8 * This program is distributed in the hope that it will be useful,
9 * but WITHOUT ANY WARRANTY; without even the implied warranty of
10 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
11 * GNU General Public License for more details.
12 *
13 * You should have received a copy of the GNU General Public License
14 * along with this program; if not, write to the Free Software
15 * Foundation, Inc., 59 Temple Place - Suite 330, Boston,
16 * MA 02111-1307, USA.
17 */
18#define _ISOC99_SOURCE
19
20#ifdef HAVE_CONFIG_H
21#include <config.h>
22#endif
23
24#include <errno.h>
25#include <math.h>
26#include <float.h>
27#include <stdlib.h>
28#include <stdio.h>
29#include <unistd.h>
30
2bd4b3e4 31#include "sync_chain.h"
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32
33#include "event_analysis_chull.h"
34
35
36#ifndef g_info
37#define g_info(format...) g_log (G_LOG_DOMAIN, G_LOG_LEVEL_INFO, format)
38#endif
39
40
41typedef enum
42{
43 LOWER,
44 UPPER
45} HullType;
46
47
48typedef enum
49{
50 MINIMUM,
51 MAXIMUM
52} LineType;
53
54
55// Functions common to all analysis modules
56static void initAnalysisCHull(SyncState* const syncState);
57static void destroyAnalysisCHull(SyncState* const syncState);
58
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59static void analyzeMessageCHull(SyncState* const syncState, Message* const
60 message);
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61static GArray* finalizeAnalysisCHull(SyncState* const syncState);
62static void printAnalysisStatsCHull(SyncState* const syncState);
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63static void writeAnalysisGraphsPlotsCHull(SyncState* const syncState, const
64 unsigned int i, const unsigned int j);
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65
66// Functions specific to this module
67static void registerAnalysisCHull() __attribute__((constructor (101)));
68
69static void openGraphFiles(SyncState* const syncState);
70static void closeGraphFiles(SyncState* const syncState);
71static void writeGraphFiles(SyncState* const syncState);
72static void gfDumpHullToFile(gpointer data, gpointer userData);
73
74static void grahamScan(GQueue* const hull, Point* const newPoint, const
75 HullType type);
76static int jointCmp(const Point* const p1, const Point* const p2, const Point*
77 const p3) __attribute__((pure));
78static double crossProductK(const Point const* p1, const Point const* p2,
79 const Point const* p3, const Point const* p4) __attribute__((pure));
80static FactorsCHull** calculateAllFactors(SyncState* const syncState);
81static Factors* calculateFactorsExact(GQueue* const cu, GQueue* const cl, const
82 LineType lineType) __attribute__((pure));
83static void calculateFactorsMiddle(FactorsCHull* factors);
84static void calculateFactorsFallback(GQueue* const cr, GQueue* const cs,
85 FactorsCHull* const result);
86static double slope(const Point* const p1, const Point* const p2)
87 __attribute__((pure));
88static double intercept(const Point* const p1, const Point* const p2)
89 __attribute__((pure));
90static GArray* reduceFactors(SyncState* const syncState, FactorsCHull**
91 allFactors);
92static void freeAllFactors(const SyncState* const syncState, FactorsCHull**
93 const allFactors);
94static double verticalDistance(Point* p1, Point* p2, Point* const point)
95 __attribute__((pure));
96static void floydWarshall(SyncState* const syncState, FactorsCHull** const
97 allFactors, double*** const distances, unsigned int*** const
98 predecessors);
99static void getFactors(FactorsCHull** const allFactors, unsigned int** const
100 predecessors, unsigned int* const references, const unsigned int traceNum,
101 Factors* const factors);
102
103static void gfPointDestroy(gpointer data, gpointer userData);
104
105
106static AnalysisModule analysisModuleCHull= {
107 .name= "chull",
108 .initAnalysis= &initAnalysisCHull,
109 .destroyAnalysis= &destroyAnalysisCHull,
10341d26 110 .analyzeMessage= &analyzeMessageCHull,
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111 .finalizeAnalysis= &finalizeAnalysisCHull,
112 .printAnalysisStats= &printAnalysisStatsCHull,
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113 .graphFunctions= {
114 .writeTraceTracePlots= &writeAnalysisGraphsPlotsCHull,
115 }
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116};
117
118
119/*
120 * Analysis module registering function
121 */
122static void registerAnalysisCHull()
123{
124 g_queue_push_tail(&analysisModules, &analysisModuleCHull);
125}
126
127
128/*
129 * Analysis init function
130 *
131 * This function is called at the beginning of a synchronization run for a set
132 * of traces.
133 *
134 * Allocate some of the analysis specific data structures
135 *
136 * Args:
137 * syncState container for synchronization data.
138 * This function allocates or initializes these analysisData
139 * members:
140 * hullArray
141 * dropped
142 */
143static void initAnalysisCHull(SyncState* const syncState)
144{
145 unsigned int i, j;
146 AnalysisDataCHull* analysisData;
147
148 analysisData= malloc(sizeof(AnalysisDataCHull));
149 syncState->analysisData= analysisData;
150
151 analysisData->hullArray= malloc(syncState->traceNb * sizeof(GQueue**));
152 for (i= 0; i < syncState->traceNb; i++)
153 {
154 analysisData->hullArray[i]= malloc(syncState->traceNb * sizeof(GQueue*));
155
156 for (j= 0; j < syncState->traceNb; j++)
157 {
158 analysisData->hullArray[i][j]= g_queue_new();
159 }
160 }
161
162 if (syncState->stats)
163 {
164 analysisData->stats= malloc(sizeof(AnalysisStatsCHull));
165 analysisData->stats->dropped= 0;
166 analysisData->stats->allFactors= NULL;
167 }
168
8d7d16dd 169 if (syncState->graphsStream)
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170 {
171 analysisData->graphsData= malloc(sizeof(AnalysisGraphsDataCHull));
172 openGraphFiles(syncState);
173 analysisData->graphsData->allFactors= NULL;
174 }
175}
176
177
178/*
179 * Create and open files used to store convex hull points to genereate
180 * graphs. Allocate and populate array to store file pointers.
181 *
182 * Args:
183 * syncState: container for synchronization data
184 */
185static void openGraphFiles(SyncState* const syncState)
186{
187 unsigned int i, j;
188 int retval;
189 char* cwd;
190 char name[31];
191 AnalysisDataCHull* analysisData;
192
193 analysisData= (AnalysisDataCHull*) syncState->analysisData;
194
8d7d16dd 195 cwd= changeToGraphDir(syncState->graphsDir);
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196
197 analysisData->graphsData->hullPoints= malloc(syncState->traceNb *
198 sizeof(FILE**));
199 for (i= 0; i < syncState->traceNb; i++)
200 {
201 analysisData->graphsData->hullPoints[i]= malloc(syncState->traceNb *
202 sizeof(FILE*));
203 for (j= 0; j < syncState->traceNb; j++)
204 {
205 if (i != j)
206 {
207 retval= snprintf(name, sizeof(name),
208 "analysis_chull-%03u_to_%03u.data", j, i);
209 if (retval > sizeof(name) - 1)
210 {
211 name[sizeof(name) - 1]= '\0';
212 }
213 if ((analysisData->graphsData->hullPoints[i][j]= fopen(name, "w")) ==
214 NULL)
215 {
216 g_error(strerror(errno));
217 }
218 }
219 }
220 }
221
222 retval= chdir(cwd);
223 if (retval == -1)
224 {
225 g_error(strerror(errno));
226 }
227 free(cwd);
228}
229
230
231/*
232 * Write hull points to files to generate graphs.
233 *
234 * Args:
235 * syncState: container for synchronization data
236 */
237static void writeGraphFiles(SyncState* const syncState)
238{
239 unsigned int i, j;
240 AnalysisDataCHull* analysisData;
241
242 analysisData= (AnalysisDataCHull*) syncState->analysisData;
243
244 for (i= 0; i < syncState->traceNb; i++)
245 {
246 for (j= 0; j < syncState->traceNb; j++)
247 {
248 if (i != j)
249 {
250 g_queue_foreach(analysisData->hullArray[i][j],
251 &gfDumpHullToFile,
252 analysisData->graphsData->hullPoints[i][j]);
253 }
254 }
255 }
256}
257
258
259/*
260 * A GFunc for g_queue_foreach. Write a hull point to a file used to generate
261 * graphs
262 *
263 * Args:
264 * data: Point*, point to write to the file
265 * userData: FILE*, file pointer where to write the point
266 */
267static void gfDumpHullToFile(gpointer data, gpointer userData)
268{
269 Point* point;
270
271 point= (Point*) data;
272 fprintf((FILE*) userData, "%20llu %20llu\n", point->x, point->y);
273}
274
275
276/*
277 * Close files used to store convex hull points to generate graphs.
278 * Deallocate array to store file pointers.
279 *
280 * Args:
281 * syncState: container for synchronization data
282 */
283static void closeGraphFiles(SyncState* const syncState)
284{
285 unsigned int i, j;
286 AnalysisDataCHull* analysisData;
287 int retval;
288
289 analysisData= (AnalysisDataCHull*) syncState->analysisData;
290
291 if (analysisData->graphsData->hullPoints == NULL)
292 {
293 return;
294 }
295
296 for (i= 0; i < syncState->traceNb; i++)
297 {
298 for (j= 0; j < syncState->traceNb; j++)
299 {
300 if (i != j)
301 {
302 retval= fclose(analysisData->graphsData->hullPoints[i][j]);
303 if (retval != 0)
304 {
305 g_error(strerror(errno));
306 }
307 }
308 }
309 free(analysisData->graphsData->hullPoints[i]);
310 }
311 free(analysisData->graphsData->hullPoints);
312 analysisData->graphsData->hullPoints= NULL;
313}
314
315
316/*
317 * Analysis destroy function
318 *
319 * Free the analysis specific data structures
320 *
321 * Args:
322 * syncState container for synchronization data.
323 * This function deallocates these analysisData members:
324 * hullArray
325 * stDev
326 */
327static void destroyAnalysisCHull(SyncState* const syncState)
328{
329 unsigned int i, j;
330 AnalysisDataCHull* analysisData;
331
332 analysisData= (AnalysisDataCHull*) syncState->analysisData;
333
334 if (analysisData == NULL)
335 {
336 return;
337 }
338
339 for (i= 0; i < syncState->traceNb; i++)
340 {
341 for (j= 0; j < syncState->traceNb; j++)
342 {
343 g_queue_foreach(analysisData->hullArray[i][j], gfPointDestroy, NULL);
344 }
345 free(analysisData->hullArray[i]);
346 }
347 free(analysisData->hullArray);
348
349 if (syncState->stats)
350 {
351 if (analysisData->stats->allFactors != NULL)
352 {
353 freeAllFactors(syncState, analysisData->stats->allFactors);
354 }
355
356 free(analysisData->stats);
357 }
358
8d7d16dd 359 if (syncState->graphsStream)
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360 {
361 if (analysisData->graphsData->hullPoints != NULL)
362 {
363 closeGraphFiles(syncState);
364 }
365
366 if (!syncState->stats && analysisData->graphsData->allFactors != NULL)
367 {
368 freeAllFactors(syncState, analysisData->graphsData->allFactors);
369 }
370
371 free(analysisData->graphsData);
372 }
373
374 free(syncState->analysisData);
375 syncState->analysisData= NULL;
376}
377
378
379/*
380 * Perform analysis on an event pair.
381 *
382 * Args:
383 * syncState container for synchronization data
10341d26 384 * message structure containing the events
08365995 385 */
10341d26 386static void analyzeMessageCHull(SyncState* const syncState, Message* const message)
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387{
388 AnalysisDataCHull* analysisData;
389 Point* newPoint;
390 HullType hullType;
391 GQueue* hull;
392
393 analysisData= (AnalysisDataCHull*) syncState->analysisData;
394
395 newPoint= malloc(sizeof(Point));
10341d26 396 if (message->inE->traceNum < message->outE->traceNum)
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397 {
398 // CA is inE->traceNum
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399 newPoint->x= message->inE->cpuTime;
400 newPoint->y= message->outE->cpuTime;
08365995 401 hullType= UPPER;
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402 g_debug("Reception point hullArray[%lu][%lu] x= inE->time= %llu y= outE->time= %llu",
403 message->inE->traceNum, message->outE->traceNum, newPoint->x,
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404 newPoint->y);
405 }
406 else
407 {
408 // CA is outE->traceNum
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409 newPoint->x= message->outE->cpuTime;
410 newPoint->y= message->inE->cpuTime;
08365995 411 hullType= LOWER;
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412 g_debug("Send point hullArray[%lu][%lu] x= inE->time= %llu y= outE->time= %llu",
413 message->inE->traceNum, message->outE->traceNum, newPoint->x,
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414 newPoint->y);
415 }
416
417 hull=
10341d26 418 analysisData->hullArray[message->inE->traceNum][message->outE->traceNum];
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419
420 if (hull->length >= 1 && newPoint->x < ((Point*)
421 g_queue_peek_tail(hull))->x)
422 {
423 if (syncState->stats)
424 {
425 analysisData->stats->dropped++;
426 }
427
428 free(newPoint);
429 }
430 else
431 {
432 grahamScan(hull, newPoint, hullType);
433 }
434}
435
436
437/*
438 * Construct one half of a convex hull from abscissa-sorted points
439 *
440 * Args:
441 * hull: the points already in the hull
442 * newPoint: a new point to consider
443 * type: which half of the hull to construct
444 */
445static void grahamScan(GQueue* const hull, Point* const newPoint, const
446 HullType type)
447{
448 int inversionFactor;
449
450 g_debug("grahamScan(hull (length: %u), newPoint, %s)", hull->length, type
451 == LOWER ? "LOWER" : "UPPER");
452
453 if (type == LOWER)
454 {
455 inversionFactor= 1;
456 }
457 else
458 {
459 inversionFactor= -1;
460 }
461
462 if (hull->length >= 2)
463 {
464 g_debug("jointCmp(hull[%u], hull[%u], newPoint) * inversionFactor = %d * %d = %d",
465 hull->length - 2,
466 hull->length - 1,
467 jointCmp(g_queue_peek_nth(hull, hull->length - 2),
468 g_queue_peek_tail(hull), newPoint),
469 inversionFactor,
470 jointCmp(g_queue_peek_nth(hull, hull->length - 2),
471 g_queue_peek_tail(hull), newPoint) * inversionFactor);
472 }
473 while (hull->length >= 2 && jointCmp(g_queue_peek_nth(hull, hull->length -
474 2), g_queue_peek_tail(hull), newPoint) * inversionFactor <= 0)
475 {
476 g_debug("Removing hull[%u]", hull->length);
477 free((Point*) g_queue_pop_tail(hull));
478
479 if (hull->length >= 2)
480 {
481 g_debug("jointCmp(hull[%u], hull[%u], newPoint) * inversionFactor = %d * %d = %d",
482 hull->length - 2,
483 hull->length - 1,
484 jointCmp(g_queue_peek_nth(hull, hull->length - 2),
485 g_queue_peek_tail(hull), newPoint),
486 inversionFactor,
487 jointCmp(g_queue_peek_nth(hull, hull->length - 2),
488 g_queue_peek_tail(hull), newPoint) * inversionFactor);
489 }
490 }
491 g_queue_push_tail(hull, newPoint);
492}
493
494
495/*
496 * Finalize the factor calculations
497 *
498 * Args:
499 * syncState container for synchronization data.
500 *
501 * Returns:
502 * Factors[traceNb] synchronization factors for each trace
503 */
504static GArray* finalizeAnalysisCHull(SyncState* const syncState)
505{
506 AnalysisDataCHull* analysisData;
507 GArray* factors;
508 FactorsCHull** allFactors;
509
510 analysisData= (AnalysisDataCHull*) syncState->analysisData;
511
8d7d16dd 512 if (syncState->graphsStream && analysisData->graphsData->hullPoints != NULL)
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513 {
514 writeGraphFiles(syncState);
515 closeGraphFiles(syncState);
516 }
517
518 allFactors= calculateAllFactors(syncState);
519
520 factors= reduceFactors(syncState, allFactors);
521
8d7d16dd 522 if (syncState->stats || syncState->graphsStream)
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523 {
524 if (syncState->stats)
525 {
526 analysisData->stats->allFactors= allFactors;
527 }
528
8d7d16dd 529 if (syncState->graphsStream)
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530 {
531 analysisData->graphsData->allFactors= allFactors;
532 }
533 }
534 else
535 {
536 freeAllFactors(syncState, allFactors);
537 }
538
539 return factors;
540}
541
542
543/*
544 * Print statistics related to analysis. Must be called after
545 * finalizeAnalysis.
546 *
547 * Args:
548 * syncState container for synchronization data.
549 */
550static void printAnalysisStatsCHull(SyncState* const syncState)
551{
552 AnalysisDataCHull* analysisData;
553 unsigned int i, j;
554
555 if (!syncState->stats)
556 {
557 return;
558 }
559
560 analysisData= (AnalysisDataCHull*) syncState->analysisData;
561
562 printf("Convex hull analysis stats:\n");
563 printf("\tout of order packets dropped from analysis: %u\n",
564 analysisData->stats->dropped);
565
566 printf("\tNumber of points in convex hulls:\n");
567
568 for (i= 0; i < syncState->traceNb; i++)
569 {
570 for (j= i + 1; j < syncState->traceNb; j++)
571 {
572 printf("\t\t%3d - %-3d: lower half-hull %-5u upper half-hull %-5u\n",
573 i, j, analysisData->hullArray[j][i]->length,
574 analysisData->hullArray[i][j]->length);
575 }
576 }
577
578 printf("\tIndividual synchronization factors:\n");
579
580 for (i= 0; i < syncState->traceNb; i++)
581 {
582 for (j= i + 1; j < syncState->traceNb; j++)
583 {
584 FactorsCHull* factorsCHull;
585
586 factorsCHull= &analysisData->stats->allFactors[j][i];
587 printf("\t\t%3d - %-3d: ", i, j);
588
589 if (factorsCHull->type == EXACT)
590 {
591 printf("Exact a0= % 7g a1= 1 %c %7g\n",
592 factorsCHull->approx->offset,
593 factorsCHull->approx->drift < 0. ? '-' : '+',
594 fabs(factorsCHull->approx->drift));
595 }
596 else if (factorsCHull->type == MIDDLE)
597 {
598 printf("Middle a0= % 7g a1= 1 %c %7g accuracy %7g\n",
599 factorsCHull->approx->offset, factorsCHull->approx->drift
600 - 1. < 0. ? '-' : '+', fabs(factorsCHull->approx->drift -
601 1.), factorsCHull->accuracy);
602 printf("\t\t a0: % 7g to % 7g (delta= %7g)\n",
603 factorsCHull->max->offset, factorsCHull->min->offset,
604 factorsCHull->min->offset - factorsCHull->max->offset);
605 printf("\t\t a1: 1 %+7g to %+7g (delta= %7g)\n",
606 factorsCHull->min->drift - 1., factorsCHull->max->drift -
607 1., factorsCHull->max->drift - factorsCHull->min->drift);
608 }
609 else if (factorsCHull->type == FALLBACK)
610 {
611 printf("Fallback a0= % 7g a1= 1 %c %7g error= %7g\n",
612 factorsCHull->approx->offset, factorsCHull->approx->drift
613 - 1. < 0. ? '-' : '+', fabs(factorsCHull->approx->drift -
614 1.), factorsCHull->accuracy);
615 }
616 else if (factorsCHull->type == INCOMPLETE)
617 {
618 printf("Incomplete\n");
619
620 if (factorsCHull->min->drift != -INFINITY)
621 {
622 printf("\t\t min: a0: % 7g a1: 1 %c %7g\n",
623 factorsCHull->min->offset, factorsCHull->min->drift -
624 1. < 0 ? '-' : '+', fabs(factorsCHull->min->drift -
625 1.));
626 }
627 if (factorsCHull->max->drift != INFINITY)
628 {
629 printf("\t\t max: a0: % 7g a1: 1 %c %7g\n",
630 factorsCHull->max->offset, factorsCHull->max->drift -
631 1. < 0 ? '-' : '+', fabs(factorsCHull->max->drift -
632 1.));
633 }
634 }
635 else if (factorsCHull->type == SCREWED)
636 {
637 printf("Screwed\n");
638
639 if (factorsCHull->min != NULL && factorsCHull->min->drift != -INFINITY)
640 {
641 printf("\t\t min: a0: % 7g a1: 1 %c %7g\n",
642 factorsCHull->min->offset, factorsCHull->min->drift -
643 1. < 0 ? '-' : '+', fabs(factorsCHull->min->drift -
644 1.));
645 }
646 if (factorsCHull->max != NULL && factorsCHull->max->drift != INFINITY)
647 {
648 printf("\t\t max: a0: % 7g a1: 1 %c %7g\n",
649 factorsCHull->max->offset, factorsCHull->max->drift -
650 1. < 0 ? '-' : '+', fabs(factorsCHull->max->drift -
651 1.));
652 }
653 }
654 else if (factorsCHull->type == ABSENT)
655 {
656 printf("Absent\n");
657 }
658 else
659 {
660 g_assert_not_reached();
661 }
662 }
663 }
664}
665
666
667/*
668 * A GFunc for g_queue_foreach()
669 *
670 * Args:
671 * data Point*, point to destroy
672 * user_data NULL
673 */
674static void gfPointDestroy(gpointer data, gpointer userData)
675{
676 Point* point;
677
678 point= (Point*) data;
679 free(point);
680}
681
682
683/*
684 * Find out if a sequence of three points constitutes a "left turn" or a
685 * "right turn".
686 *
687 * Args:
688 * p1, p2, p3: The three points.
689 *
690 * Returns:
691 * < 0 right turn
692 * 0 colinear (unlikely result since this uses floating point
693 * arithmetic)
694 * > 0 left turn
695 */
696static int jointCmp(const Point const* p1, const Point const* p2, const
697 Point const* p3)
698{
699 double result;
700 const double fuzzFactor= 0.;
701
702 result= crossProductK(p1, p2, p1, p3);
703 g_debug("crossProductK(p1= (%llu, %llu), p2= (%llu, %llu), p1= (%llu, %llu), p3= (%llu, %llu))= %g",
704 p1->x, p1->y, p2->x, p2->y, p1->x, p1->y, p3->x, p3->y, result);
705 if (result < fuzzFactor)
706 {
707 return -1;
708 }
709 else if (result > fuzzFactor)
710 {
711 return 1;
712 }
713 else
714 {
715 return 0;
716 }
717}
718
719
720/*
721 * Calculate the k component of the cross product of two vectors.
722 *
723 * Args:
724 * p1, p2: start and end points of the first vector
725 * p3, p4: start and end points of the second vector
726 *
727 * Returns:
728 * the k component of the cross product when considering the two vectors to
729 * be in the i-j plane. The direction (sign) of the result can be useful to
730 * determine the relative orientation of the two vectors.
731 */
732static double crossProductK(const Point const* p1, const Point const* p2,
733 const Point const* p3, const Point const* p4)
734{
735 return ((double) p2->x - p1->x) * ((double) p4->y - p3->y) - ((double)
736 p2->y - p1->y) * ((double) p4->x - p3->x);
737}
738
739
740/*
741 * Free a container of FactorsCHull
742 *
743 * Args:
744 * syncState: container for synchronization data.
745 * allFactors: container of Factors
746 */
747static void freeAllFactors(const SyncState* const syncState, FactorsCHull**
748 const allFactors)
749{
750 unsigned int i, j;
751
752 for (i= 0; i < syncState->traceNb; i++)
753 {
754 for (j= 0; j <= i; j++)
755 {
756 FactorsCHull* factorsCHull;
757
758 factorsCHull= &allFactors[i][j];
759 if (factorsCHull->type == MIDDLE || factorsCHull->type ==
760 INCOMPLETE || factorsCHull->type == ABSENT)
761 {
762 free(factorsCHull->min);
763 free(factorsCHull->max);
764 }
765 else if (factorsCHull->type == SCREWED)
766 {
767 if (factorsCHull->min != NULL)
768 {
769 free(factorsCHull->min);
770 }
771 if (factorsCHull->max != NULL)
772 {
773 free(factorsCHull->max);
774 }
775 }
776
777 if (factorsCHull->type == EXACT || factorsCHull->type == MIDDLE ||
778 factorsCHull->type == FALLBACK)
779 {
780 free(factorsCHull->approx);
781 }
782 }
783 free(allFactors[i]);
784 }
785 free(allFactors);
786}
787
788
789/*
790 * Analyze the convex hulls to determine the synchronization factors between
791 * each pair of trace.
792 *
793 * Args:
794 * syncState container for synchronization data.
795 *
796 * Returns:
797 * FactorsCHull*[TraceNum][TraceNum] array. See the documentation for the
798 * member allFactors of AnalysisStatsCHull.
799 */
800static FactorsCHull** calculateAllFactors(SyncState* const syncState)
801{
802 unsigned int traceNumA, traceNumB;
803 FactorsCHull** allFactors;
804 AnalysisDataCHull* analysisData;
805
806 analysisData= (AnalysisDataCHull*) syncState->analysisData;
807
808 // Allocate allFactors and calculate min and max
809 allFactors= malloc(syncState->traceNb * sizeof(FactorsCHull*));
810 for (traceNumA= 0; traceNumA < syncState->traceNb; traceNumA++)
811 {
812 allFactors[traceNumA]= malloc((traceNumA + 1) * sizeof(FactorsCHull));
813
814 allFactors[traceNumA][traceNumA].type= EXACT;
815 allFactors[traceNumA][traceNumA].approx= malloc(sizeof(Factors));
816 allFactors[traceNumA][traceNumA].approx->drift= 1.;
817 allFactors[traceNumA][traceNumA].approx->offset= 0.;
818
819 for (traceNumB= 0; traceNumB < traceNumA; traceNumB++)
820 {
821 unsigned int i;
822 GQueue* cs, * cr;
823 const struct
824 {
825 LineType lineType;
826 size_t factorsOffset;
827 } loopValues[]= {
828 {MINIMUM, offsetof(FactorsCHull, min)},
829 {MAXIMUM, offsetof(FactorsCHull, max)}
830 };
831
832 cr= analysisData->hullArray[traceNumB][traceNumA];
833 cs= analysisData->hullArray[traceNumA][traceNumB];
834
835 for (i= 0; i < sizeof(loopValues) / sizeof(*loopValues); i++)
836 {
837 g_debug("allFactors[%u][%u].%s = calculateFactorsExact(cr= hullArray[%u][%u], cs= hullArray[%u][%u], %s)",
838 traceNumA, traceNumB, loopValues[i].factorsOffset ==
839 offsetof(FactorsCHull, min) ? "min" : "max", traceNumB,
840 traceNumA, traceNumA, traceNumB, loopValues[i].lineType ==
841 MINIMUM ? "MINIMUM" : "MAXIMUM");
842 *((Factors**) ((void*) &allFactors[traceNumA][traceNumB] +
843 loopValues[i].factorsOffset))=
844 calculateFactorsExact(cr, cs, loopValues[i].lineType);
845 }
846 }
847 }
848
849 // Calculate approx when possible
850 for (traceNumA= 0; traceNumA < syncState->traceNb; traceNumA++)
851 {
852 for (traceNumB= 0; traceNumB < traceNumA; traceNumB++)
853 {
854 FactorsCHull* factorsCHull;
855
856 factorsCHull= &allFactors[traceNumA][traceNumB];
857 if (factorsCHull->min == NULL && factorsCHull->max == NULL)
858 {
859 factorsCHull->type= FALLBACK;
860 calculateFactorsFallback(analysisData->hullArray[traceNumB][traceNumA],
861 analysisData->hullArray[traceNumA][traceNumB],
862 &allFactors[traceNumA][traceNumB]);
863 }
864 else if (factorsCHull->min != NULL && factorsCHull->max != NULL)
865 {
866 if (factorsCHull->min->drift != -INFINITY &&
867 factorsCHull->max->drift != INFINITY)
868 {
869 factorsCHull->type= MIDDLE;
870 calculateFactorsMiddle(factorsCHull);
871 }
872 else if (factorsCHull->min->drift != -INFINITY ||
873 factorsCHull->max->drift != INFINITY)
874 {
875 factorsCHull->type= INCOMPLETE;
876 }
877 else
878 {
879 factorsCHull->type= ABSENT;
880 }
881 }
882 else
883 {
884 //g_assert_not_reached();
885 factorsCHull->type= SCREWED;
886 }
887 }
888 }
889
890 return allFactors;
891}
892
893
894/* Calculate approximative factors based on minimum and maximum limits. The
895 * best approximation to make is the interior bissector of the angle formed by
896 * the minimum and maximum lines.
897 *
898 * The formulae used come from [Haddad, Yoram: Performance dans les systèmes
899 * répartis: des outils pour les mesures, Université de Paris-Sud, Centre
900 * d'Orsay, September 1988] Section 6.1 p.44
901 *
902 * The reasoning for choosing this estimator comes from [Duda, A., Harrus, G.,
903 * Haddad, Y., and Bernard, G.: Estimating global time in distributed systems,
904 * Proc. 7th Int. Conf. on Distributed Computing Systems, Berlin, volume 18,
905 * 1987] p.303
906 *
907 * Args:
908 * factors: contains the min and max limits, used to store the result
909 */
910static void calculateFactorsMiddle(FactorsCHull* factors)
911{
912 double amin, amax, bmin, bmax, bhat;
913
914 amin= factors->max->offset;
915 amax= factors->min->offset;
916 bmin= factors->min->drift;
917 bmax= factors->max->drift;
918
919 g_assert_cmpfloat(bmax, >, bmin);
920
921 factors->approx= malloc(sizeof(Factors));
922 bhat= (bmax * bmin - 1. + sqrt(1. + pow(bmax, 2.) * pow(bmin, 2.) +
923 pow(bmax, 2.) + pow(bmin, 2.))) / (bmax + bmin);
924 factors->approx->offset= amax - (amax - amin) / 2. * (pow(bhat, 2.) + 1.)
925 / (1. + bhat * bmax);
926 factors->approx->drift= bhat;
927 factors->accuracy= bmax - bmin;
928}
929
930
931/*
932 * Analyze the convex hulls to determine the minimum or maximum
933 * synchronization factors between one pair of trace.
934 *
935 * This implements and improves upon the algorithm in [Haddad, Yoram:
936 * Performance dans les systèmes répartis: des outils pour les mesures,
937 * Université de Paris-Sud, Centre d'Orsay, September 1988] Section 6.2 p.47
938 *
939 * Some degenerate cases are possible:
940 * 1) the result is unbounded. In that case, when searching for the maximum
941 * factors, result->drift= INFINITY; result->offset= -INFINITY. When
942 * searching for the minimum factors, it is the opposite. It is not
943 * possible to improve the situation with this data.
944 * 2) no line can be above the upper hull and below the lower hull. This is
945 * because the hulls intersect each other or are reversed. This means that
946 * an assertion was false. Most probably, the clocks are not linear. It is
947 * possible to repeat the search with another algorithm that will find a
948 * "best effort" approximation. See calculateFactorsApprox().
949 *
950 * Args:
951 * cu: the upper half-convex hull, the line must pass above this
952 * and touch it in one point
953 * cl: the lower half-convex hull, the line must pass below this
954 * and touch it in one point
955 * lineType: search for minimum or maximum factors
956 *
957 * Returns:
958 * If a result is found, a struct Factors is allocated, filed with the
959 * result and returned
960 * NULL otherwise, degenerate case 2 is in effect
961 */
962static Factors* calculateFactorsExact(GQueue* const cu, GQueue* const cl, const
963 LineType lineType)
964{
965 GQueue* c1, * c2;
966 unsigned int i1, i2;
967 Point* p1, * p2;
968 double inversionFactor;
969 Factors* result;
970
971 g_debug("calculateFactorsExact(cu= %p, cl= %p, %s)", cu, cl, lineType ==
972 MINIMUM ? "MINIMUM" : "MAXIMUM");
973
974 if (lineType == MINIMUM)
975 {
976 c1= cl;
977 c2= cu;
978 inversionFactor= -1.;
979 }
980 else
981 {
982 c1= cu;
983 c2= cl;
984 inversionFactor= 1.;
985 }
986
987 i1= 0;
988 i2= c2->length - 1;
989
990 // Check for degenerate case 1
991 if (c1->length == 0 || c2->length == 0 || ((Point*) g_queue_peek_nth(c1,
992 i1))->x >= ((Point*) g_queue_peek_nth(c2, i2))->x)
993 {
994 result= malloc(sizeof(Factors));
995 if (lineType == MINIMUM)
996 {
997 result->drift= -INFINITY;
998 result->offset= INFINITY;
999 }
1000 else
1001 {
1002 result->drift= INFINITY;
1003 result->offset= -INFINITY;
1004 }
1005
1006 return result;
1007 }
1008
1009 do
1010 {
1011 while
1012 (
1013 (int) i2 - 1 > 0
1014 && crossProductK(
1015 g_queue_peek_nth(c1, i1),
1016 g_queue_peek_nth(c2, i2),
1017 g_queue_peek_nth(c1, i1),
1018 g_queue_peek_nth(c2, i2 - 1)) * inversionFactor < 0.
1019 )
1020 {
1021 if (((Point*) g_queue_peek_nth(c1, i1))->x
1022 < ((Point*) g_queue_peek_nth(c2, i2 - 1))->x)
1023 {
1024 i2--;
1025 }
1026 else
1027 {
1028 // Degenerate case 2
1029 return NULL;
1030 }
1031 }
1032 while
1033 (
1034 i1 + 1 < c1->length - 1
1035 && crossProductK(
1036 g_queue_peek_nth(c1, i1),
1037 g_queue_peek_nth(c2, i2),
1038 g_queue_peek_nth(c1, i1 + 1),
1039 g_queue_peek_nth(c2, i2)) * inversionFactor < 0.
1040 )
1041 {
1042 if (((Point*) g_queue_peek_nth(c1, i1 + 1))->x
1043 < ((Point*) g_queue_peek_nth(c2, i2))->x)
1044 {
1045 i1++;
1046 }
1047 else
1048 {
1049 // Degenerate case 2
1050 return NULL;
1051 }
1052 }
1053 } while
1054 (
1055 (int) i2 - 1 > 0
1056 && crossProductK(
1057 g_queue_peek_nth(c1, i1),
1058 g_queue_peek_nth(c2, i2),
1059 g_queue_peek_nth(c1, i1),
1060 g_queue_peek_nth(c2, i2 - 1)) * inversionFactor < 0.
1061 );
1062
1063 p1= g_queue_peek_nth(c1, i1);
1064 p2= g_queue_peek_nth(c2, i2);
1065
1066 g_debug("Resulting points are: c1[i1]: x= %llu y= %llu c2[i2]: x= %llu y= %llu",
1067 p1->x, p1->y, p2->x, p2->y);
1068
1069 result= malloc(sizeof(Factors));
1070 result->drift= slope(p1, p2);
1071 result->offset= intercept(p1, p2);
1072
1073 g_debug("Resulting factors are: drift= %g offset= %g", result->drift, result->offset);
1074
1075 return result;
1076}
1077
1078
1079/*
1080 * Analyze the convex hulls to determine approximate synchronization factors
1081 * between one pair of trace when there is no line that can fit in the
1082 * corridor separating them.
1083 *
1084 * This implements the algorithm in [Ashton, P.: Algorithms for Off-line Clock
1085 * Synchronisation, University of Canterbury, December 1995, 26] Section 4.2.2
1086 * p.7
1087 *
1088 * For each point p1 in cr
1089 * For each point p2 in cs
1090 * errorMin= 0
1091 * Calculate the line paramaters
1092 * For each point p3 in each convex hull
1093 * If p3 is on the wrong side of the line
1094 * error+= distance
1095 * If error < errorMin
1096 * Update results
1097 *
1098 * Args:
1099 * cr: the upper half-convex hull
1100 * cs: the lower half-convex hull
1101 * result: a pointer to the pre-allocated struct where the results
1102 * will be stored
1103 */
1104static void calculateFactorsFallback(GQueue* const cr, GQueue* const cs,
1105 FactorsCHull* const result)
1106{
1107 unsigned int i, j, k;
1108 double errorMin;
1109 Factors* approx;
1110
1111 errorMin= INFINITY;
1112 approx= malloc(sizeof(Factors));
1113
1114 for (i= 0; i < cs->length; i++)
1115 {
1116 for (j= 0; j < cr->length; j++)
1117 {
1118 double error;
1119 Point p1, p2;
1120
1121 error= 0.;
1122
1123 if (((Point*) g_queue_peek_nth(cs, i))->x < ((Point*)g_queue_peek_nth(cr, j))->x)
1124 {
1125 p1= *(Point*)g_queue_peek_nth(cs, i);
1126 p2= *(Point*)g_queue_peek_nth(cr, j);
1127 }
1128 else
1129 {
1130 p1= *(Point*)g_queue_peek_nth(cr, j);
1131 p2= *(Point*)g_queue_peek_nth(cs, i);
1132 }
1133
1134 // The lower hull should be above the point
1135 for (k= 0; k < cs->length; k++)
1136 {
1137 if (jointCmp(&p1, &p2, g_queue_peek_nth(cs, k)) < 0.)
1138 {
1139 error+= verticalDistance(&p1, &p2, g_queue_peek_nth(cs, k));
1140 }
1141 }
1142
1143 // The upper hull should be below the point
1144 for (k= 0; k < cr->length; k++)
1145 {
1146 if (jointCmp(&p1, &p2, g_queue_peek_nth(cr, k)) > 0.)
1147 {
1148 error+= verticalDistance(&p1, &p2, g_queue_peek_nth(cr, k));
1149 }
1150 }
1151
1152 if (error < errorMin)
1153 {
1154 g_debug("Fallback: i= %u j= %u is a better match (error= %g)", i, j, error);
1155 approx->drift= slope(&p1, &p2);
1156 approx->offset= intercept(&p1, &p2);
1157 errorMin= error;
1158 }
1159 }
1160 }
1161
1162 result->approx= approx;
1163 result->accuracy= errorMin;
1164}
1165
1166
1167/*
1168 * Calculate the vertical distance between a line and a point
1169 *
1170 * Args:
1171 * p1, p2: Two points defining the line
1172 * point: a point
1173 *
1174 * Return:
1175 * the vertical distance
1176 */
1177static double verticalDistance(Point* p1, Point* p2, Point* const point)
1178{
1179 return fabs(slope(p1, p2) * point->x + intercept(p1, p2) - point->y);
1180}
1181
1182
1183/*
1184 * Calculate the slope between two points
1185 *
1186 * Args:
1187 * p1, p2 the two points
1188 *
1189 * Returns:
1190 * the slope
1191 */
1192static double slope(const Point* const p1, const Point* const p2)
1193{
1194 return ((double) p2->y - p1->y) / (p2->x - p1->x);
1195}
1196
1197
1198/* Calculate the y-intercept of a line that passes by two points
1199 *
1200 * Args:
1201 * p1, p2 the two points
1202 *
1203 * Returns:
1204 * the y-intercept
1205 */
1206static double intercept(const Point* const p1, const Point* const p2)
1207{
1208 return ((double) p2->y * p1->x - (double) p1->y * p2->x) / ((double) p1->x - p2->x);
1209}
1210
1211
1212/*
1213 * Calculate a resulting offset and drift for each trace.
1214 *
1215 * Traces are assembled in groups. A group is an "island" of nodes/traces that
1216 * exchanged messages. A reference is determined for each group by using a
1217 * shortest path search based on the accuracy of the approximation. This also
1218 * forms a tree of the best way to relate each node's clock to the reference's
1219 * based on the accuracy. Sometimes it may be necessary or advantageous to
1220 * propagate the factors through intermediary clocks. Resulting factors for
1221 * each trace are determined based on this tree.
1222 *
1223 * This part was not the focus of my research. The algorithm used here is
1224 * inexact in some ways:
1225 * 1) The reference used may not actually be the best one to use. This is
1226 * because the accuracy is not corrected based on the drift during the
1227 * shortest path search.
1228 * 2) The min and max factors are not propagated and are no longer valid.
1229 * 3) Approximations of different types (MIDDLE and FALLBACK) are compared
1230 * together. The "accuracy" parameters of these have different meanings and
1231 * are not readily comparable.
1232 *
1233 * Nevertheless, the result is satisfactory. You just can't tell "how much" it
1234 * is.
1235 *
1236 * Two alternative (and subtly different) ways of propagating factors to
1237 * preserve min and max bondaries have been proposed, see:
1238 * [Duda, A., Harrus, G., Haddad, Y., and Bernard, G.: Estimating global time
1239 * in distributed systems, Proc. 7th Int. Conf. on Distributed Computing
1240 * Systems, Berlin, volume 18, 1987] p.304
1241 *
1242 * [Jezequel, J.M., and Jard, C.: Building a global clock for observing
1243 * computations in distributed memory parallel computers, Concurrency:
1244 * Practice and Experience 8(1), volume 8, John Wiley & Sons, Ltd Chichester,
1245 * 1996, 32] Section 5; which is mostly the same as
1246 * [Jezequel, J.M.: Building a global time on parallel machines, Proceedings
1247 * of the 3rd International Workshop on Distributed Algorithms, LNCS, volume
1248 * 392, 136–147, 1989] Section 5
1249 *
1250 * Args:
1251 * syncState: container for synchronization data.
1252 * allFactors: offset and drift between each pair of traces
1253 *
1254 * Returns:
1255 * Factors[traceNb] synchronization factors for each trace
1256 */
1257static GArray* reduceFactors(SyncState* const syncState, FactorsCHull** const
1258 allFactors)
1259{
1260 GArray* factors;
1261 double** distances;
1262 unsigned int** predecessors;
1263 double* distanceSums;
1264 unsigned int* references;
1265 unsigned int i, j;
1266
1267 // Solve the all-pairs shortest path problem using the Floyd-Warshall
1268 // algorithm
1269 floydWarshall(syncState, allFactors, &distances, &predecessors);
1270
1271 /* Find the reference for each node
1272 *
1273 * First calculate, for each node, the sum of the distances to each other
1274 * node it can reach.
1275 *
1276 * Then, go through each "island" of traces to find the trace that has the
1277 * lowest distance sum. Assign this trace as the reference to each trace
1278 * of the island.
1279 */
1280 distanceSums= malloc(syncState->traceNb * sizeof(double));
1281 for (i= 0; i < syncState->traceNb; i++)
1282 {
1283 distanceSums[i]= 0.;
1284 for (j= 0; j < syncState->traceNb; j++)
1285 {
1286 distanceSums[i]+= distances[i][j];
1287 }
1288 }
1289
1290 references= malloc(syncState->traceNb * sizeof(unsigned int));
1291 for (i= 0; i < syncState->traceNb; i++)
1292 {
1293 references[i]= UINT_MAX;
1294 }
1295 for (i= 0; i < syncState->traceNb; i++)
1296 {
1297 if (references[i] == UINT_MAX)
1298 {
1299 unsigned int reference;
1300 double distanceSumMin;
1301
1302 // A node is its own reference by default
1303 reference= i;
1304 distanceSumMin= INFINITY;
1305 for (j= 0; j < syncState->traceNb; j++)
1306 {
1307 if (distances[i][j] != INFINITY && distanceSums[j] <
1308 distanceSumMin)
1309 {
1310 reference= j;
1311 distanceSumMin= distanceSums[j];
1312 }
1313 }
1314 for (j= 0; j < syncState->traceNb; j++)
1315 {
1316 if (distances[i][j] != INFINITY)
1317 {
1318 references[j]= reference;
1319 }
1320 }
1321 }
1322 }
1323
1324 for (i= 0; i < syncState->traceNb; i++)
1325 {
1326 free(distances[i]);
1327 }
1328 free(distances);
1329 free(distanceSums);
1330
1331 /* For each trace, calculate the factors based on their corresponding
1332 * tree. The tree is rooted at the reference and the shortest path to each
1333 * other nodes are the branches.
1334 */
1335 factors= g_array_sized_new(FALSE, FALSE, sizeof(Factors),
1336 syncState->traceNb);
1337 g_array_set_size(factors, syncState->traceNb);
1338 for (i= 0; i < syncState->traceNb; i++)
1339 {
1340 getFactors(allFactors, predecessors, references, i, &g_array_index(factors,
1341 Factors, i));
1342 }
1343
1344 for (i= 0; i < syncState->traceNb; i++)
1345 {
1346 free(predecessors[i]);
1347 }
1348 free(predecessors);
1349 free(references);
1350
1351 return factors;
1352}
1353
1354
1355/*
1356 * Perform an all-source shortest path search using the Floyd-Warshall
1357 * algorithm.
1358 *
1359 * The algorithm is implemented accoding to the description here:
1360 * http://web.mit.edu/urban_or_book/www/book/chapter6/6.2.2.html
1361 *
1362 * Args:
1363 * syncState: container for synchronization data.
1364 * allFactors: offset and drift between each pair of traces
1365 * distances: resulting matrix of the length of the shortest path between
1366 * two nodes. If there is no path between two nodes, the
1367 * length is INFINITY
1368 * predecessors: resulting matrix of each node's predecessor on the shortest
1369 * path between two nodes
1370 */
1371static void floydWarshall(SyncState* const syncState, FactorsCHull** const
1372 allFactors, double*** const distances, unsigned int*** const
1373 predecessors)
1374{
1375 unsigned int i, j, k;
1376
1377 // Setup initial conditions
1378 *distances= malloc(syncState->traceNb * sizeof(double*));
1379 *predecessors= malloc(syncState->traceNb * sizeof(unsigned int*));
1380 for (i= 0; i < syncState->traceNb; i++)
1381 {
1382 (*distances)[i]= malloc(syncState->traceNb * sizeof(double));
1383 for (j= 0; j < syncState->traceNb; j++)
1384 {
1385 if (i == j)
1386 {
1387 g_assert(allFactors[i][j].type == EXACT);
1388
1389 (*distances)[i][j]= 0.;
1390 }
1391 else
1392 {
1393 unsigned int row, col;
1394
1395 if (i > j)
1396 {
1397 row= i;
1398 col= j;
1399 }
1400 else if (i < j)
1401 {
1402 row= j;
1403 col= i;
1404 }
1405
1406 if (allFactors[row][col].type == MIDDLE ||
1407 allFactors[row][col].type == FALLBACK)
1408 {
1409 (*distances)[i][j]= allFactors[row][col].accuracy;
1410 }
1411 else if (allFactors[row][col].type == INCOMPLETE ||
1412 allFactors[row][col].type == SCREWED ||
1413 allFactors[row][col].type == ABSENT)
1414 {
1415 (*distances)[i][j]= INFINITY;
1416 }
1417 else
1418 {
1419 g_assert_not_reached();
1420 }
1421 }
1422 }
1423
1424 (*predecessors)[i]= malloc(syncState->traceNb * sizeof(unsigned int));
1425 for (j= 0; j < syncState->traceNb; j++)
1426 {
1427 if (i != j)
1428 {
1429 (*predecessors)[i][j]= i;
1430 }
1431 else
1432 {
1433 (*predecessors)[i][j]= UINT_MAX;
1434 }
1435 }
1436 }
1437
1438 // Run the iterations
1439 for (k= 0; k < syncState->traceNb; k++)
1440 {
1441 for (i= 0; i < syncState->traceNb; i++)
1442 {
1443 for (j= 0; j < syncState->traceNb; j++)
1444 {
1445 double distanceMin;
1446
1447 distanceMin= MIN((*distances)[i][j], (*distances)[i][k] +
1448 (*distances)[k][j]);
1449
1450 if (distanceMin != (*distances)[i][j])
1451 {
1452 (*predecessors)[i][j]= (*predecessors)[k][j];
1453 }
1454
1455 (*distances)[i][j]= distanceMin;
1456 }
1457 }
1458 }
1459}
1460
1461
1462/*
1463 * Cummulate the time correction factors to convert a node's time to its
1464 * reference's time.
1465 * This function recursively calls itself until it reaches the reference node.
1466 *
1467 * Args:
1468 * allFactors: offset and drift between each pair of traces
1469 * predecessors: matrix of each node's predecessor on the shortest
1470 * path between two nodes
1471 * references: reference node for each node
1472 * traceNum: node for which to find the factors
1473 * factors: resulting factors
1474 */
1475static void getFactors(FactorsCHull** const allFactors, unsigned int** const
1476 predecessors, unsigned int* const references, const unsigned int traceNum,
1477 Factors* const factors)
1478{
1479 unsigned int reference;
1480
1481 reference= references[traceNum];
1482
1483 if (reference == traceNum)
1484 {
1485 factors->offset= 0.;
1486 factors->drift= 1.;
1487 }
1488 else
1489 {
1490 Factors previousVertexFactors;
1491
1492 getFactors(allFactors, predecessors, references,
1493 predecessors[reference][traceNum], &previousVertexFactors);
1494
1495 // convertir de traceNum à reference
1496
1497 // allFactors convertit de col à row
1498
1499 if (reference > traceNum)
1500 {
1501 factors->offset= previousVertexFactors.drift *
1502 allFactors[reference][traceNum].approx->offset +
1503 previousVertexFactors.offset;
1504 factors->drift= previousVertexFactors.drift *
1505 allFactors[reference][traceNum].approx->drift;
1506 }
1507 else
1508 {
1509 factors->offset= previousVertexFactors.drift * (-1. *
1510 allFactors[traceNum][reference].approx->offset /
1511 allFactors[traceNum][reference].approx->drift) +
1512 previousVertexFactors.offset;
1513 factors->drift= previousVertexFactors.drift * (1. /
1514 allFactors[traceNum][reference].approx->drift);
1515 }
1516 }
1517}
1518
1519
1520/*
1521 * Write the analysis-specific graph lines in the gnuplot script.
1522 *
1523 * Args:
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1524 * syncState: container for synchronization data
1525 * i: first trace number
1526 * j: second trace number, garanteed to be larger than i
1527 */
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1528void writeAnalysisGraphsPlotsCHull(SyncState* const syncState, const unsigned
1529 int i, const unsigned int j)
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1530{
1531 AnalysisDataCHull* analysisData;
1532 FactorsCHull* factorsCHull;
1533
1534 analysisData= (AnalysisDataCHull*) syncState->analysisData;
1535
8d7d16dd 1536 fprintf(syncState->graphsStream,
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1537 "\t\"analysis_chull-%1$03d_to_%2$03d.data\" "
1538 "title \"Lower half-hull\" with linespoints "
1539 "linecolor rgb \"#015a01\" linetype 4 pointtype 8 pointsize 0.8, \\\n"
1540 "\t\"analysis_chull-%2$03d_to_%1$03d.data\" "
1541 "title \"Upper half-hull\" with linespoints "
1542 "linecolor rgb \"#003366\" linetype 4 pointtype 10 pointsize 0.8, \\\n",
1543 i, j);
1544
1545 factorsCHull= &analysisData->graphsData->allFactors[j][i];
1546 if (factorsCHull->type == EXACT)
1547 {
8d7d16dd 1548 fprintf(syncState->graphsStream,
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1549 "\t%7g + %7g * x "
1550 "title \"Exact conversion\" with lines "
1551 "linecolor rgb \"black\" linetype 1, \\\n",
1552 factorsCHull->approx->offset, factorsCHull->approx->drift);
1553 }
1554 else if (factorsCHull->type == MIDDLE)
1555 {
8d7d16dd 1556 fprintf(syncState->graphsStream,
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1557 "\t%.2f + %.10f * x "
1558 "title \"Min conversion\" with lines "
1559 "linecolor rgb \"black\" linetype 5, \\\n",
1560 factorsCHull->min->offset, factorsCHull->min->drift);
8d7d16dd 1561 fprintf(syncState->graphsStream,
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1562 "\t%.2f + %.10f * x "
1563 "title \"Max conversion\" with lines "
1564 "linecolor rgb \"black\" linetype 8, \\\n",
1565 factorsCHull->max->offset, factorsCHull->max->drift);
8d7d16dd 1566 fprintf(syncState->graphsStream,
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1567 "\t%.2f + %.10f * x "
1568 "title \"Middle conversion\" with lines "
1569 "linecolor rgb \"gray60\" linetype 1, \\\n",
1570 factorsCHull->approx->offset, factorsCHull->approx->drift);
1571 }
1572 else if (factorsCHull->type == FALLBACK)
1573 {
8d7d16dd 1574 fprintf(syncState->graphsStream,
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1575 "\t%.2f + %.10f * x "
1576 "title \"Fallback conversion\" with lines "
1577 "linecolor rgb \"gray60\" linetype 1, \\\n",
1578 factorsCHull->approx->offset, factorsCHull->approx->drift);
1579 }
1580 else if (factorsCHull->type == INCOMPLETE)
1581 {
1582 if (factorsCHull->min->drift != -INFINITY)
1583 {
8d7d16dd 1584 fprintf(syncState->graphsStream,
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1585 "\t%.2f + %.10f * x "
1586 "title \"Min conversion\" with lines "
1587 "linecolor rgb \"black\" linetype 5, \\\n",
1588 factorsCHull->min->offset, factorsCHull->min->drift);
1589 }
1590
1591 if (factorsCHull->max->drift != INFINITY)
1592 {
8d7d16dd 1593 fprintf(syncState->graphsStream,
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1594 "\t%.2f + %.10f * x "
1595 "title \"Max conversion\" with lines "
1596 "linecolor rgb \"black\" linetype 8, \\\n",
1597 factorsCHull->max->offset, factorsCHull->max->drift);
1598 }
1599 }
1600 else if (factorsCHull->type == SCREWED)
1601 {
1602 if (factorsCHull->min != NULL && factorsCHull->min->drift != -INFINITY)
1603 {
8d7d16dd 1604 fprintf(syncState->graphsStream,
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1605 "\t%.2f + %.10f * x "
1606 "title \"Min conversion\" with lines "
1607 "linecolor rgb \"black\" linetype 5, \\\n",
1608 factorsCHull->min->offset, factorsCHull->min->drift);
1609 }
1610
1611 if (factorsCHull->max != NULL && factorsCHull->max->drift != INFINITY)
1612 {
8d7d16dd 1613 fprintf(syncState->graphsStream,
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1614 "\t%.2f + %.10f * x "
1615 "title \"Max conversion\" with lines "
1616 "linecolor rgb \"black\" linetype 8, \\\n",
1617 factorsCHull->max->offset, factorsCHull->max->drift);
1618 }
1619 }
1620 else if (factorsCHull->type == ABSENT)
1621 {
1622 }
1623 else
1624 {
1625 g_assert_not_reached();
1626 }
1627}
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