Makefile: make it easy to suppress the "-D" flag to "install".
[wiggle/upstream.git] / diff.c
blob3d16e6778bfa1f7df22504d3c1bcafaec83fc702
1 /*
2 * wiggle - apply rejected patches
4 * Copyright (C) 2003 Neil Brown <neilb@cse.unsw.edu.au>
5 * Copyright (C) 2011-2013 Neil Brown <neilb@suse.de>
8 * This program is free software; you can redistribute it and/or modify
9 * it under the terms of the GNU General Public License as published by
10 * the Free Software Foundation; either version 2 of the License, or
11 * (at your option) any later version.
13 * This program is distributed in the hope that it will be useful,
14 * but WITHOUT ANY WARRANTY; without even the implied warranty of
15 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
16 * GNU General Public License for more details.
18 * You should have received a copy of the GNU General Public License
19 * along with this program.
21 * Author: Neil Brown
22 * Email: <neilb@suse.de>
26 * Calculate longest common subsequence between two sequences
28 * Each sequence contains strings with
29 * hash start length
30 * We produce a list of tripples: a b len
31 * where A and B point to elements in the two sequences, and len is the number
32 * of common elements there. The list is terminated by an entry with len==0.
34 * This is roughly based on
35 * "An O(ND) Difference Algorithm and its Variations", Eugene Myers,
36 * Algorithmica Vol. 1 No. 2, 1986, pp. 251-266;
37 * http://xmailserver.org/diff2.pdf
39 * However we don't run the basic algorithm both forward and backward until
40 * we find an overlap as Myers suggests. Rather we always run forwards, but
41 * we record the location of the (possibly empty) snake that crosses the
42 * midline. When we finish, this recorded location for the best path shows
43 * us where to divide and find further midpoints.
45 * In brief, the algorithm is as follows.
47 * Imagine a Cartesian Matrix where x co-ordinates correspond to symbols in
48 * the first sequence (A, length a) and y co-ordinates correspond to symbols
49 * in the second sequence (B, length b). At the origin we have the first
50 * sequence.
51 * Movement in the x direction represents deleting the symbol as that point,
52 * so from x=i-1 to x=i deletes symbol i from A.
54 * Movement in the y direction represents adding the corresponding symbol
55 * from B. So to move from the origin 'a' spaces along X and then 'b' spaces
56 * up Y will remove all of the first sequence and then add all of the second
57 * sequence. Similarly moving firstly up the Y axis, then along the X
58 * direction will add the new sequence, then remove the old sequence. Thus
59 * the point a,b represents the second sequence and a part from 0,0 to a,b
60 * represent an sequence of edits to change A into B.
62 * There are clearly many paths from 0,0 to a,b going through different
63 * points in the matrix in different orders. At some points in the matrix
64 * the next symbol to be added from B is the same as the next symbol to be
65 * removed from A. At these points we can take a diagonal step to a new
66 * point in the matrix without actually changing any symbol. A sequence of
67 * these diagonal steps is called a 'snake'. The goal then is to find a path
68 * of x-steps (removals), y-steps (additions) and diagonals (steps and
69 * snakes) where the number of (non-diagonal) steps is minimal.
71 * i.e. we aim for as many long snakes as possible.
72 * If the total number of 'steps' is called the 'cost', we aim to minimise
73 * the cost.
75 * As storing the whole matrix in memory would be prohibitive with large
76 * sequences we limit ourselves to linear storage proportional to a+b and
77 * repeat the search at most log2(a+b) times building up the path as we go.
78 * Specifically we perform a search on the full matrix and record where each
79 * path crosses the half-way point. i.e. where x+y = (a+b)/2 (== mid). This
80 * tells us the mid point of the best path. We then perform two searches,
81 * one on each of the two halves and find the 1/4 and 3/4 way points. This
82 * continues recursively until we have all points.
84 * The storage is an array v of 'struct v'. This is indexed by the
85 * diagonal-number k = x-y. Thus k can be negative and the array is
86 * allocated to allow for that. During the search there is an implicit value
87 * 'c' which is the cost (length in steps) of all the paths currently under
88 * consideration.
89 * v[k] stores details of the longest reaching path of cost c that finishes
90 * on diagonal k. "longest reaching" means "finishes closest to a,b".
91 * Details are:
92 * The location of the end point. 'x' is stored. y = x - k.
93 * The diagonal of the midpoint crossing. md is stored. x = (mid + md)/2
94 * y = (mid - md)/2
95 * = x - md
96 * (note: md is a diagonal so md = x-y. mid is an anti-diagonal: mid = x+y)
97 * The number of 'snakes' in the path (l). This is used to allocate the
98 * array which will record the snakes and to terminate recursion.
100 * A path with an even cost (c is even) must end on an even diagonal (k is
101 * even) and when c is odd, k must be odd. So the v[] array is treated as
102 * two sub arrays, the even part and the odd part. One represents paths of
103 * cost 'c', the other paths of cost c-1.
105 * Initially only v[0] is meaningful and there are no snakes. We firstly
106 * extend all paths under consideration with the longest possible snake on
107 * that diagonal.
109 * Then we increment 'c' and calculate for each suitable 'k' whether the best
110 * path to diagonal k of cost c comes from taking an x-step from the c-1 path
111 * on diagonal k-1, or from taking a y-step from the c-1 path on diagonal
112 * k+1. Obviously we need to avoid stepping out of the matrix. Finally we
113 * check if the 'v' array can be extended or reduced at the boundaries. If
114 * we hit a border we must reduce. If the best we could possibly do on that
115 * diagonal is less than the worst result from the current leading path, then
116 * we also reduce. Otherwise we extend the range of 'k's we consider.
118 * We continue until we find a path has reached a,b. This must be a minimal
119 * cost path (cost==c). At this point re-check the end of the snake at the
120 * midpoint and report that.
122 * This all happens recursively for smaller and smaller subranges stopping
123 * when we examine a submatrix and find that it contains no snakes. As we
124 * are usually dealing with sub-matrixes we are not walking from 0,0 to a,b
125 * from alo,blo to ahi,bhi - low point to high point. So the initial k is
126 * alo-blo, not 0.
130 #include "wiggle.h"
131 #include <stdlib.h>
133 struct v {
134 int x; /* x location of furthest reaching path of current cost */
135 int md; /* diagonal location of midline crossing */
136 int l; /* number of continuous common sequences found so far */
139 static int find_common(struct file *a, struct file *b,
140 int *alop, int *ahip,
141 int *blop, int *bhip,
142 struct v *v)
144 /* Examine matrix from alo to ahi and blo to bhi.
145 * i.e. including alo and blo, but less than ahi and bhi.
146 * Finding longest subsequence and
147 * return new {a,b}{lo,hi} either side of midline.
148 * i.e. mid = ( (ahi-alo) + (bhi-blo) ) / 2
149 * alo+blo <= mid <= ahi+bhi
150 * and alo,blo to ahi,bhi is a common (possibly empty)
151 * subseq - a snake.
153 * v is scratch space which is indexable from
154 * alo-bhi to ahi-blo inclusive.
155 * i.e. even though there is no symbol at ahi or bhi, we do
156 * consider paths that reach there as they simply cannot
157 * go further in that direction.
159 * Return the number of snakes found.
162 int klo, khi;
163 int alo = *alop;
164 int ahi = *ahip;
165 int blo = *blop;
166 int bhi = *bhip;
168 int mid = (ahi+bhi+alo+blo)/2;
170 /* 'worst' is the worst-case extra cost that we need
171 * to pay before reaching our destination. It assumes
172 * no more snakes in the furthest-reaching path so far.
173 * We use this to know when we can trim the extreme
174 * diagonals - when their best case does not improve on
175 * the current worst case.
177 int worst = (ahi-alo)+(bhi-blo);
179 klo = khi = alo-blo;
180 v[klo].x = alo;
181 v[klo].l = 0;
183 while (1) {
184 int x, y;
185 int cost;
186 int k;
188 /* Find the longest snake extending on each current
189 * diagonal, and record if it crosses the midline.
190 * If we reach the end, return.
192 for (k = klo ; k <= khi ; k += 2) {
193 int snake = 0;
195 x = v[k].x;
196 y = x-k;
197 if (y > bhi)
198 abort();
200 /* Follow any snake that is here */
201 while (x < ahi && y < bhi &&
202 match(&a->list[x], &b->list[y])
204 x++;
205 y++;
206 snake = 1;
209 /* Refine the worst-case remaining cost */
210 cost = (ahi-x)+(bhi-y);
211 if (cost < worst)
212 worst = cost;
214 /* Check for midline crossing */
215 if (x+y >= mid &&
216 v[k].x + v[k].x-k <= mid)
217 v[k].md = k;
219 v[k].x = x;
220 v[k].l += snake;
222 if (cost == 0) {
223 /* OK! We have arrived.
224 * We crossed the midpoint on diagonal v[k].md
226 if (x != ahi)
227 abort();
229 /* The snake could start earlier than the
230 * midline. We cannot just search backwards
231 * as that might find the wrong path - the
232 * greediness of the diff algorithm is
233 * asymmetric.
234 * We could record the start of the snake in
235 * 'v', but we will find the actual snake when
236 * we recurse so there is no need.
238 x = (v[k].md+mid)/2;
239 y = x-v[k].md;
241 *alop = x;
242 *blop = y;
244 /* Find the end of the snake using the same
245 * greedy approach as when we first found the
246 * snake
248 while (x < ahi && y < bhi &&
249 match(&a->list[x], &b->list[y])
251 x++;
252 y++;
254 *ahip = x;
255 *bhip = y;
257 return v[k].l;
261 /* No success with previous cost, so increment cost (c) by 1
262 * and for each other diagonal, set from the end point of the
263 * diagonal on one side of it or the other.
265 for (k = klo+1; k <= khi-1 ; k += 2) {
266 if (v[k-1].x+1 > ahi) {
267 /* cannot step to the right from previous
268 * diagonal as there is no room.
269 * So step up from next diagonal.
271 v[k] = v[k+1];
272 } else if (v[k+1].x - k > bhi || v[k-1].x+1 >= v[k+1].x) {
273 /* Cannot step up from next diagonal as either
274 * there is no room, or doing so wouldn't get us
275 * as close to the endpoint.
276 * So step to the right.
278 v[k] = v[k-1];
279 v[k].x++;
280 } else {
281 /* There is room in both directions, but
282 * stepping up from the next diagonal gets us
283 * closer
285 v[k] = v[k+1];
289 /* Now we need to either extend or contract klo and khi
290 * so they both change parity (odd vs even).
291 * If we extend we need to step up (for klo) or to the
292 * right (khi) from the adjacent diagonal. This is
293 * not possible if we have hit the edge of the matrix, and
294 * not sensible if the new point has a best case remaining
295 * cost that is worse than our current worst case remaining
296 * cost.
297 * The best-case remaining cost is the absolute difference
298 * between the remaining number of additions and the remaining
299 * number of deletions - and assumes lots of snakes.
301 /* new location if we step up from klo to klo-1*/
302 x = v[klo].x; y = x - (klo-1);
303 cost = abs((ahi-x)-(bhi-y));
304 if (y <= bhi && cost <= worst) {
305 /* Looks acceptable - step up. */
306 v[klo-1] = v[klo];
307 klo--;
308 } else
309 klo++;
311 /* new location if we step to the right from khi to khi+1 */
312 x = v[khi].x+1; y = x - (khi+1);
313 cost = abs((ahi-x)-(bhi-y));
314 if (x <= ahi && cost <= worst) {
315 /* Looks acceptable - step to the right */
316 v[khi+1] = v[khi];
317 v[khi+1].x++;
318 khi++;
319 } else
320 khi--;
324 static struct csl *lcsl(struct file *a, int alo, int ahi,
325 struct file *b, int blo, int bhi,
326 struct csl *csl,
327 struct v *v)
329 /* lcsl == longest common sub-list.
330 * This calls itself recursively as it finds the midpoint
331 * of the best path.
332 * On first call, 'csl' is NULL and will need to be allocated and
333 * is returned.
334 * On subsequence calls when 'csl' is not NULL, we add all the
335 * snakes we find to csl, and return a pointer to the next
336 * location where future snakes can be stored.
338 int len;
339 int alo1 = alo;
340 int ahi1 = ahi;
341 int blo1 = blo;
342 int bhi1 = bhi;
343 struct csl *rv = NULL;
345 if (ahi <= alo || bhi <= blo)
346 return csl;
348 len = find_common(a, b,
349 &alo1, &ahi1,
350 &blo1, &bhi1,
353 if (csl == NULL) {
354 /* 'len+1' to hold a sentinel */
355 rv = csl = xmalloc((len+1)*sizeof(*csl));
356 csl->len = 0;
358 if (len) {
359 /* There are more snakes to find - keep looking. */
361 /* With depth-first recursion, this adds all the snakes
362 * before 'alo1' to 'csl'
364 csl = lcsl(a, alo, alo1,
365 b, blo, blo1,
366 csl, v);
368 if (ahi1 > alo1) {
369 /* need to add this common seq, possibly attach
370 * to last
372 if (csl->len &&
373 csl->a+csl->len == alo1 &&
374 csl->b+csl->len == blo1) {
375 csl->len += ahi1-alo1;
376 } else {
377 if (csl->len)
378 csl++;
379 csl->len = ahi1-alo1;
380 csl->a = alo1;
381 csl->b = blo1;
382 csl[1].len = 0;
385 /* Now recurse to add all the snakes after ahi1 to csl */
386 csl = lcsl(a, ahi1, ahi,
387 b, bhi1, bhi,
388 csl, v);
390 if (rv) {
391 /* This was the first call. Record the endpoint
392 * as a snake of length 0. This might be extended.
393 * by 'fixup()' below.
395 if (csl->len)
396 csl++;
397 csl->a = ahi;
398 csl->b = bhi;
399 #if 1
400 if (rv+len != csl || csl->len != 0)
401 abort(); /* number of runs was wrong */
402 #endif
403 return rv;
404 } else
405 /* intermediate call - return where we are up to */
406 return csl;
409 /* If two common sequences are separated by only an add or remove,
410 * and the first sequence ends the same as the middle text,
411 * extend the second and contract the first in the hope that the
412 * first might become empty. This ameliorates against the greediness
413 * of the 'diff' algorithm.
414 * i.e. if we have:
415 * [ foo X ] X [ bar ]
416 * [ foo X ] [ bar ]
417 * Then change it to:
418 * [ foo ] X [ X bar ]
419 * [ foo ] [ X bar ]
420 * We treat the final zero-length 'csl' as a common sequence which
421 * can be extended so we must make sure to add a new zero-length csl
422 * to the end.
423 * If this doesn't make the first sequence disappear, and (one of the)
424 * X(s) was a newline, then move back so the newline is at the end
425 * of the first sequence. This encourages common sequences
426 * to be whole-line units where possible.
428 static void fixup(struct file *a, struct file *b, struct csl *list)
430 struct csl *list1, *orig;
431 int lasteol = -1;
432 int found_end = 0;
434 if (!list)
435 return;
437 /* 'list' and 'list1' are adjacent pointers into the csl.
438 * If a match gets deleted, they might not be physically
439 * adjacent any more. Once we get to the end of the list
440 * this will cease to matter - the list will be a bit
441 * shorter is all.
443 orig = list;
444 list1 = list+1;
445 while (list->len) {
446 if (list1->len == 0)
447 found_end = 1;
449 /* If a single token is either inserted or deleted
450 * immediately after a matching token...
452 if ((list->a+list->len == list1->a &&
453 list->b+list->len != list1->b &&
454 /* text at b inserted */
455 match(&b->list[list->b+list->len-1],
456 &b->list[list1->b-1])
459 (list->b+list->len == list1->b &&
460 list->a+list->len != list1->a &&
461 /* text at a deleted */
462 match(&a->list[list->a+list->len-1],
463 &a->list[list1->a-1])
466 /* If the last common token is a simple end-of-line
467 * record where it is. For a word-wise diff, this is
468 * any EOL. For a line-wise diff this is a blank line.
469 * If we are looking at a deletion it must be deleting
470 * the eol, so record that deleted eol.
472 if (ends_line(a->list[list->a+list->len-1])
473 && a->list[list->a+list->len-1].len == 1
474 && lasteol == -1
476 lasteol = list1->a-1;
478 /* Expand the second match, shrink the first */
479 list1->a--;
480 list1->b--;
481 list1->len++;
482 list->len--;
484 /* If the first match has become empty, make it
485 * disappear.. (and forget about the eol).
487 if (list->len == 0) {
488 lasteol = -1;
489 if (found_end) {
490 /* Deleting just before the last
491 * entry */
492 *list = *list1;
493 list1->a += list1->len;
494 list1->b += list1->len;
495 list1->len = 0;
496 } else if (list > orig)
497 /* Deleting in the middle */
498 list--;
499 else {
500 /* deleting the first entry */
501 *list = *list1++;
504 } else {
505 /* Nothing interesting here, though if we
506 * shuffled back past an eol, shuffle
507 * forward to line up with that eol.
508 * This causes an eol to bind more strongly
509 * with the preceding line than the following.
511 if (lasteol >= 0) {
512 while (list1->a <= lasteol
513 && (list1->len > 1 ||
514 (found_end && list1->len > 0))) {
515 list1->a++;
516 list1->b++;
517 list1->len--;
518 list->len++;
520 lasteol = -1;
522 *++list = *list1;
523 if (found_end) {
524 list1->a += list1->len;
525 list1->b += list1->len;
526 list1->len = 0;
527 } else
528 list1++;
530 if (list->len && list1 == list)
531 abort();
535 /* Main entry point - find the common-sub-list of files 'a' and 'b'.
536 * The final element in the list will have 'len' == 0 and will point
537 * beyond the end of the files.
539 struct csl *diff(struct file a, struct file b)
541 struct v *v;
542 struct csl *csl;
543 v = xmalloc(sizeof(struct v)*(a.elcnt+b.elcnt+2));
544 v += b.elcnt+1;
546 csl = lcsl(&a, 0, a.elcnt,
547 &b, 0, b.elcnt,
548 NULL, v);
549 free(v-(b.elcnt+1));
550 fixup(&a, &b, csl);
551 if (!csl) {
552 csl = xmalloc(sizeof(*csl));
553 csl->len = 0;
554 csl->a = a.elcnt;
555 csl->b = b.elcnt;
557 return csl;
560 /* Alternate entry point - find the common-sub-list in two
561 * subranges of files.
563 struct csl *diff_partial(struct file a, struct file b,
564 int alo, int ahi, int blo, int bhi)
566 struct v *v;
567 struct csl *csl;
568 v = xmalloc(sizeof(struct v)*(ahi-alo+bhi-blo+2));
569 v += bhi-alo+1;
571 csl = lcsl(&a, alo, ahi,
572 &b, blo, bhi,
573 NULL, v);
574 free(v-(bhi-alo+1));
575 fixup(&a, &b, csl);
576 return csl;
579 struct csl *csl_join(struct csl *c1, struct csl *c2)
581 int cnt1, cnt2;
582 int offset = 0;
583 if (c1 == NULL)
584 return c2;
585 if (c2 == NULL)
586 return c1;
588 for (cnt1 = 0; c1[cnt1].len; cnt1++)
590 for (cnt2 = 0; c2[cnt2].len; cnt2++)
592 if (cnt1 && cnt2 &&
593 c1[cnt1-1].a + c1[cnt1-1].len == c2[0].a &&
594 c1[cnt1-1].b + c1[cnt1-1].len == c2[0].b) {
595 /* Merge these two */
596 c1[cnt1-1].len += c2[0].len;
597 offset = 1;
598 cnt2--;
600 c1 = realloc(c1, (cnt1+cnt2+1)*sizeof(*c1));
601 while (cnt2 >= 0) {
602 c1[cnt1+cnt2] = c2[cnt2 + offset];
603 cnt2--;
605 free(c2);
606 return c1;
609 /* When rediffing a patch, we *must* make sure the hunk headers
610 * line up. So don't do a full diff, but rather find the hunk
611 * headers and diff the bits between them.
613 struct csl *diff_patch(struct file a, struct file b)
615 int ap, bp;
616 struct csl *csl = NULL;
617 if (a.list[0].start[0] != '\0' ||
618 b.list[0].start[0] != '\0')
619 /* this is not a patch */
620 return diff(a, b);
622 ap = 0; bp = 0;
623 while (ap < a.elcnt && bp < b.elcnt) {
624 int alo = ap;
625 int blo = bp;
626 struct csl *cs;
629 ap++;
630 while (ap < a.elcnt &&
631 a.list[ap].start[0] != '\0');
633 bp++;
634 while (bp < b.elcnt &&
635 b.list[bp].start[0] != '\0');
636 cs = diff_partial(a, b, alo, ap, blo, bp);
637 csl = csl_join(csl, cs);
639 return csl;
642 #ifdef MAIN
644 main(int argc, char *argv[])
646 struct file a, b;
647 struct csl *csl;
648 struct elmnt *lst = xmalloc(argc*sizeof(*lst));
649 int arg;
650 struct v *v;
651 int ln;
653 arg = 1;
654 a.elcnt = 0;
655 a.list = lst;
656 while (argv[arg] && strcmp(argv[arg], "--")) {
657 lst->hash = 0;
658 lst->start = argv[arg];
659 lst->len = strlen(argv[arg]);
660 a.elcnt++;
661 lst++;
662 arg++;
664 if (!argv[arg]) {
665 printf("AARGH\n");
666 exit(1);
668 arg++;
669 b.elcnt = 0;
670 b.list = lst;
671 while (argv[arg] && strcmp(argv[arg], "--")) {
672 lst->hash = 0;
673 lst->start = argv[arg];
674 lst->len = strlen(argv[arg]);
675 b.elcnt++;
676 lst++;
677 arg++;
680 csl = diff(a, b);
681 fixup(&a, &b, csl);
682 while (csl && csl->len) {
683 int i;
684 printf("%d,%d for %d:\n", csl->a, csl->b, csl->len);
685 for (i = 0; i < csl->len; i++) {
686 printf(" %.*s (%.*s)\n",
687 a.list[csl->a+i].len, a.list[csl->a+i].start,
688 b.list[csl->b+i].len, b.list[csl->b+i].start);
690 csl++;
693 exit(0);
696 #endif