merge: fix a problem with unmatchable hunks.
[wiggle/upstream.git] / diff.c
blob954d3d6f6d16f2d937e1fce523e754801fddf1c7
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>
132 #include <sys/time.h>
134 struct v {
135 int x; /* x location of furthest reaching path of current cost */
136 int md; /* diagonal location of midline crossing */
137 int l; /* number of continuous common sequences found so far */
140 static int find_common(struct file *a, struct file *b,
141 int *alop, int *ahip,
142 int *blop, int *bhip,
143 struct v *v, int shortcut)
145 /* Examine matrix from alo to ahi and blo to bhi.
146 * i.e. including alo and blo, but less than ahi and bhi.
147 * Finding longest subsequence and
148 * return new {a,b}{lo,hi} either side of midline.
149 * i.e. mid = ( (ahi-alo) + (bhi-blo) ) / 2
150 * alo+blo <= mid <= ahi+bhi
151 * and alo,blo to ahi,bhi is a common (possibly empty)
152 * subseq - a snake.
154 * v is scratch space which is indexable from
155 * alo-bhi to ahi-blo inclusive.
156 * i.e. even though there is no symbol at ahi or bhi, we do
157 * consider paths that reach there as they simply cannot
158 * go further in that direction.
160 * Return the number of snakes found.
163 struct timeval start, stop;
164 int klo, khi;
165 int alo = *alop;
166 int ahi = *ahip;
167 int blo = *blop;
168 int bhi = *bhip;
170 int mid = (ahi+bhi+alo+blo)/2;
172 /* 'worst' is the worst-case extra cost that we need
173 * to pay before reaching our destination. It assumes
174 * no more snakes in the furthest-reaching path so far.
175 * We use this to know when we can trim the extreme
176 * diagonals - when their best case does not improve on
177 * the current worst case.
179 int worst = (ahi-alo)+(bhi-blo);
181 int loopcount = -1;
182 shortcut = !!shortcut;
183 if (shortcut) {
184 char *lc = getenv("WIGGLE_LOOPCOUNT");
185 if (lc)
186 loopcount = atoi(lc);
187 if (loopcount < 5) {
188 loopcount = -1;
189 gettimeofday(&start, NULL);
193 klo = khi = alo-blo;
194 v[klo].x = alo;
195 v[klo].l = 0;
197 while (1) {
198 int x, y;
199 int cost;
200 int k;
202 if (loopcount > 0)
203 loopcount -= 1;
204 if (shortcut == 1 &&
205 khi - klo > 5000 &&
206 (loopcount == 0 ||
207 (loopcount < 0 &&
208 gettimeofday(&stop, NULL) == 0 &&
209 (stop.tv_sec - start.tv_sec) * 1000000 +
210 (stop.tv_usec - start.tv_usec) > 20000)))
211 /* 20ms is a long time. Time to take a shortcut
212 * Next snake wins
214 shortcut = 2;
215 /* Find the longest snake extending on each current
216 * diagonal, and record if it crosses the midline.
217 * If we reach the end, return.
219 for (k = klo ; k <= khi ; k += 2) {
220 int snake = 0;
222 x = v[k].x;
223 y = x-k;
224 if (y > bhi)
225 abort();
227 /* Follow any snake that is here */
228 while (x < ahi && y < bhi &&
229 match(&a->list[x], &b->list[y])
231 x++;
232 y++;
233 snake = 1;
236 /* Refine the worst-case remaining cost */
237 cost = (ahi-x)+(bhi-y);
238 if (cost < worst) {
239 worst = cost;
240 if (snake && shortcut == 2) {
241 *alop = v[k].x;
242 *blop = v[k].x - k;
243 *ahip = x;
244 *bhip = y;
245 return 1;
248 /* Check for midline crossing */
249 if (x+y >= mid &&
250 v[k].x + v[k].x-k <= mid)
251 v[k].md = k;
253 v[k].x = x;
254 v[k].l += snake;
256 if (cost == 0) {
257 /* OK! We have arrived.
258 * We crossed the midpoint on diagonal v[k].md
260 if (x != ahi)
261 abort();
263 /* The snake could start earlier than the
264 * midline. We cannot just search backwards
265 * as that might find the wrong path - the
266 * greediness of the diff algorithm is
267 * asymmetric.
268 * We could record the start of the snake in
269 * 'v', but we will find the actual snake when
270 * we recurse so there is no need.
272 x = (v[k].md+mid)/2;
273 y = x-v[k].md;
275 *alop = x;
276 *blop = y;
278 /* Find the end of the snake using the same
279 * greedy approach as when we first found the
280 * snake
282 while (x < ahi && y < bhi &&
283 match(&a->list[x], &b->list[y])
285 x++;
286 y++;
288 *ahip = x;
289 *bhip = y;
291 return v[k].l;
295 /* No success with previous cost, so increment cost (c) by 1
296 * and for each other diagonal, set from the end point of the
297 * diagonal on one side of it or the other.
299 for (k = klo+1; k <= khi-1 ; k += 2) {
300 if (v[k-1].x+1 > ahi) {
301 /* cannot step to the right from previous
302 * diagonal as there is no room.
303 * So step up from next diagonal.
305 v[k] = v[k+1];
306 } else if (v[k+1].x - k > bhi || v[k-1].x+1 >= v[k+1].x) {
307 /* Cannot step up from next diagonal as either
308 * there is no room, or doing so wouldn't get us
309 * as close to the endpoint.
310 * So step to the right.
312 v[k] = v[k-1];
313 v[k].x++;
314 } else {
315 /* There is room in both directions, but
316 * stepping up from the next diagonal gets us
317 * closer
319 v[k] = v[k+1];
323 /* Now we need to either extend or contract klo and khi
324 * so they both change parity (odd vs even).
325 * If we extend we need to step up (for klo) or to the
326 * right (khi) from the adjacent diagonal. This is
327 * not possible if we have hit the edge of the matrix, and
328 * not sensible if the new point has a best case remaining
329 * cost that is worse than our current worst case remaining
330 * cost.
331 * The best-case remaining cost is the absolute difference
332 * between the remaining number of additions and the remaining
333 * number of deletions - and assumes lots of snakes.
335 /* new location if we step up from klo to klo-1*/
336 x = v[klo].x; y = x - (klo-1);
337 cost = abs((ahi-x)-(bhi-y));
338 klo--;
339 if (y <= bhi && cost <= worst) {
340 /* Looks acceptable - step up. */
341 v[klo] = v[klo+1];
342 } else do {
343 klo += 2;
344 x = v[klo].x; y = x - (klo-1);
345 cost = abs((ahi-x)-(bhi-y));
346 } while (cost > worst);
348 /* new location if we step to the right from khi to khi+1 */
349 x = v[khi].x+1; y = x - (khi+1);
350 cost = abs((ahi-x)-(bhi-y));
351 khi++;
352 if (x <= ahi && cost <= worst) {
353 /* Looks acceptable - step to the right */
354 v[khi] = v[khi-1];
355 v[khi].x++;
356 } else do {
357 khi -= 2;
358 x = v[khi].x+1; y = x - (khi+1);
359 cost = abs((ahi-x)-(bhi-y));
360 } while (cost > worst);
364 struct cslb {
365 int size; /* How much is alloced */
366 int len; /* How much is used */
367 struct csl *csl;
370 static void csl_add(struct cslb *buf, int a, int b, int len)
372 struct csl *csl;
373 if (len && buf->len) {
374 csl = buf->csl + buf->len - 1;
375 if (csl->a + csl->len == a &&
376 csl->b + csl->len == b) {
377 csl->len += len;
378 return;
381 if (buf->size <= buf->len) {
382 if (buf->size < 64)
383 buf->size = 64;
384 else
385 buf->size += buf->size;
386 buf->csl = realloc(buf->csl, sizeof(buf->csl[0]) * buf->size);
388 csl = buf->csl + buf->len;
389 csl->len = len;
390 csl->a = a;
391 csl->b = b;
392 buf->len += 1;
395 static void lcsl(struct file *a, int alo, int ahi,
396 struct file *b, int blo, int bhi,
397 struct cslb *cslb,
398 struct v *v, int shortcut)
400 /* lcsl == longest common sub-list.
401 * This calls itself recursively as it finds the midpoint
402 * of the best path.
403 * On first call, 'csl' is NULL and will need to be allocated and
404 * is returned.
405 * On subsequence calls when 'csl' is not NULL, we add all the
406 * snakes we find to csl, and return a pointer to the next
407 * location where future snakes can be stored.
409 int alo1 = alo;
410 int ahi1 = ahi;
411 int blo1 = blo;
412 int bhi1 = bhi;
414 if (ahi <= alo || bhi <= blo)
415 return;
417 if (!find_common(a, b,
418 &alo1, &ahi1,
419 &blo1, &bhi1,
420 v, shortcut))
421 return;
423 /* There are more snakes to find - keep looking. */
425 /* With depth-first recursion, this adds all the snakes
426 * before 'alo1' to 'csl'
428 lcsl(a, alo, alo1,
429 b, blo, blo1,
430 cslb, v, 0);
432 if (ahi1 > alo1)
433 /* need to add this common seq, possibly attach
434 * to last
436 csl_add(cslb, alo1, blo1, ahi1 - alo1);
438 /* Now recurse to add all the snakes after ahi1 to csl */
439 lcsl(a, ahi1, ahi,
440 b, bhi1, bhi,
441 cslb, v, shortcut);
444 /* If two common sequences are separated by only an add or remove,
445 * and the first sequence ends the same as the middle text,
446 * extend the second and contract the first in the hope that the
447 * first might become empty. This ameliorates against the greediness
448 * of the 'diff' algorithm.
449 * i.e. if we have:
450 * [ foo X ] X [ bar ]
451 * [ foo X ] [ bar ]
452 * Then change it to:
453 * [ foo ] X [ X bar ]
454 * [ foo ] [ X bar ]
455 * We treat the final zero-length 'csl' as a common sequence which
456 * can be extended so we must make sure to add a new zero-length csl
457 * to the end.
458 * If this doesn't make the first sequence disappear, and (one of the)
459 * X(s) was a newline, then move back so the newline is at the end
460 * of the first sequence. This encourages common sequences
461 * to be whole-line units where possible.
463 static void fixup(struct file *a, struct file *b, struct csl *list)
465 struct csl *list1, *orig;
466 int lasteol = -1;
467 int found_end = 0;
469 if (!list)
470 return;
472 /* 'list' and 'list1' are adjacent pointers into the csl.
473 * If a match gets deleted, they might not be physically
474 * adjacent any more. Once we get to the end of the list
475 * this will cease to matter - the list will be a bit
476 * shorter is all.
478 orig = list;
479 list1 = list+1;
480 while (list->len) {
481 if (list1->len == 0)
482 found_end = 1;
484 /* If a single token is either inserted or deleted
485 * immediately after a matching token...
487 if ((list->a+list->len == list1->a &&
488 list->b+list->len != list1->b &&
489 /* text at b inserted */
490 match(&b->list[list->b+list->len-1],
491 &b->list[list1->b-1])
494 (list->b+list->len == list1->b &&
495 list->a+list->len != list1->a &&
496 /* text at a deleted */
497 match(&a->list[list->a+list->len-1],
498 &a->list[list1->a-1])
501 /* If the last common token is a simple end-of-line
502 * record where it is. For a word-wise diff, this is
503 * any EOL. For a line-wise diff this is a blank line.
504 * If we are looking at a deletion it must be deleting
505 * the eol, so record that deleted eol.
507 if (ends_line(a->list[list->a+list->len-1])
508 && a->list[list->a+list->len-1].len == 1
509 && lasteol == -1
511 lasteol = list1->a-1;
513 /* Expand the second match, shrink the first */
514 list1->a--;
515 list1->b--;
516 list1->len++;
517 list->len--;
519 /* If the first match has become empty, make it
520 * disappear.. (and forget about the eol).
522 if (list->len == 0) {
523 lasteol = -1;
524 if (found_end) {
525 /* Deleting just before the last
526 * entry */
527 *list = *list1;
528 list1->a += list1->len;
529 list1->b += list1->len;
530 list1->len = 0;
531 } else if (list > orig)
532 /* Deleting in the middle */
533 list--;
534 else {
535 /* deleting the first entry */
536 *list = *list1++;
539 } else {
540 /* Nothing interesting here, though if we
541 * shuffled back past an eol, shuffle
542 * forward to line up with that eol.
543 * This causes an eol to bind more strongly
544 * with the preceding line than the following.
546 if (lasteol >= 0) {
547 while (list1->a <= lasteol
548 && (list1->len > 1 ||
549 (found_end && list1->len > 0))) {
550 list1->a++;
551 list1->b++;
552 list1->len--;
553 list->len++;
555 lasteol = -1;
557 *++list = *list1;
558 if (found_end) {
559 list1->a += list1->len;
560 list1->b += list1->len;
561 list1->len = 0;
562 } else
563 list1++;
565 if (list->len && list1 == list)
566 abort();
570 static int elcmp(const void *v1, const void *v2)
572 const struct elmnt *e1 = v1;
573 const struct elmnt *e2 = v2;
575 if (e1->hash != e2->hash) {
576 if (e1->hash < e2->hash)
577 return -1;
578 return 1;
580 if (e1->start[0] == 0 && e2->start[0] == 0)
581 return 0;
582 if (e1->len != e2->len)
583 return e1->len - e2->len;
584 return strncmp(e1->start, e2->start, e1->len);
587 #define BPL (sizeof(unsigned long) * 8)
588 static struct file filter_unique(struct file f, struct file ref)
590 /* Use a bloom-filter to record all hashes in 'ref' and
591 * then if there are consequtive entries in 'f' that are
592 * not in 'ref', reduce each such run to 1 entry
594 struct file n;
595 int fi, cnt;
596 struct file sorted;
598 sorted.list = xmalloc(sizeof(sorted.list[0]) * ref.elcnt);
599 sorted.elcnt = ref.elcnt;
600 memcpy(sorted.list, ref.list, sizeof(sorted.list[0]) * sorted.elcnt);
601 qsort(sorted.list, sorted.elcnt, sizeof(sorted.list[0]),
602 elcmp);
604 n.list = xmalloc(sizeof(n.list[0]) * f.elcnt);
605 n.elcnt = 0;
606 cnt = 0;
607 for (fi = 0; fi < f.elcnt; fi++) {
608 int lo = 0, hi = sorted.elcnt;
609 while (lo + 1 < hi) {
610 int mid = (lo + hi) / 2;
611 if (elcmp(&f.list[fi], &sorted.list[mid]) < 0)
612 hi = mid;
613 else
614 lo = mid;
616 if (match(&f.list[fi], &sorted.list[lo]))
617 cnt = 0;
618 else
619 cnt += 1;
620 if (cnt <= 1)
621 n.list[n.elcnt++] = f.list[fi];
623 free(sorted.list);
624 return n;
627 static void remap(struct csl *csl, int which, struct file from, struct file to)
629 /* The a,b pointer in csl points to 'from' we need to remap to 'to'.
630 * 'to' has everything that 'from' has, plus more.
631 * Each list[].start is unique
633 int ti = 0;
634 while (csl->len) {
635 int fi = which ? csl->b : csl->a;
636 while (to.list[ti].start != from.list[fi].start) {
637 ti += 1;
638 if (ti > to.elcnt)
639 abort();
641 if (which)
642 csl->b = ti;
643 else
644 csl->a = ti;
645 csl += 1;
647 if (which)
648 csl->b = to.elcnt;
649 else
650 csl->a = to.elcnt;
652 /* Main entry point - find the common-sub-list of files 'a' and 'b'.
653 * The final element in the list will have 'len' == 0 and will point
654 * beyond the end of the files.
656 struct csl *diff(struct file a, struct file b, int shortest)
658 struct v *v;
659 struct cslb cslb = {};
660 struct file af, bf;
662 /* Remove runs of 2 or more elements in one file that don't
663 * exist in the other file. This often makes the number of
664 * elements more manageable.
666 af = filter_unique(a, b);
667 bf = filter_unique(b, a);
669 v = xmalloc(sizeof(struct v)*(af.elcnt+bf.elcnt+2));
670 v += bf.elcnt+1;
672 lcsl(&af, 0, af.elcnt,
673 &bf, 0, bf.elcnt,
674 &cslb, v, !shortest);
675 csl_add(&cslb, af.elcnt, bf.elcnt, 0);
676 free(v-(bf.elcnt+1));
677 remap(cslb.csl, 0, af, a);
678 remap(cslb.csl, 1, bf, b);
679 free(af.list);
680 free(bf.list);
681 fixup(&a, &b, cslb.csl);
682 return cslb.csl;
685 /* Alternate entry point - find the common-sub-list in two
686 * subranges of files.
688 struct csl *diff_partial(struct file a, struct file b,
689 int alo, int ahi, int blo, int bhi)
691 struct v *v;
692 struct cslb cslb = {};
693 v = xmalloc(sizeof(struct v)*(ahi-alo+bhi-blo+2));
694 v += bhi-alo+1;
696 lcsl(&a, alo, ahi,
697 &b, blo, bhi,
698 &cslb, v, 0);
699 csl_add(&cslb, ahi, bhi, 0);
700 free(v-(bhi-alo+1));
701 fixup(&a, &b, cslb.csl);
702 return cslb.csl;
705 struct csl *csl_join(struct csl *c1, struct csl *c2)
707 int cnt1, cnt2;
708 int offset = 0;
709 if (c1 == NULL)
710 return c2;
711 if (c2 == NULL)
712 return c1;
714 for (cnt1 = 0; c1[cnt1].len; cnt1++)
716 for (cnt2 = 0; c2[cnt2].len; cnt2++)
718 if (cnt1 && cnt2 &&
719 c1[cnt1-1].a + c1[cnt1-1].len == c2[0].a &&
720 c1[cnt1-1].b + c1[cnt1-1].len == c2[0].b) {
721 /* Merge these two */
722 c1[cnt1-1].len += c2[0].len;
723 offset = 1;
724 cnt2--;
726 c1 = realloc(c1, (cnt1+cnt2+1)*sizeof(*c1));
727 while (cnt2 >= 0) {
728 c1[cnt1+cnt2] = c2[cnt2 + offset];
729 cnt2--;
731 free(c2);
732 return c1;
735 /* When rediffing a patch, we *must* make sure the hunk headers
736 * line up. So don't do a full diff, but rather find the hunk
737 * headers and diff the bits between them.
739 struct csl *diff_patch(struct file a, struct file b, int shortest)
741 int ap, bp;
742 struct csl *csl = NULL;
743 if (a.elcnt == 0 || b.elcnt == 0 ||
744 a.list[0].start[0] != '\0' ||
745 b.list[0].start[0] != '\0')
746 /* this is not a patch */
747 return diff(a, b, shortest);
749 ap = 0; bp = 0;
750 while (ap < a.elcnt && bp < b.elcnt) {
751 int alo = ap;
752 int blo = bp;
753 struct csl *cs;
756 ap++;
757 while (ap < a.elcnt &&
758 a.list[ap].start[0] != '\0');
760 bp++;
761 while (bp < b.elcnt &&
762 b.list[bp].start[0] != '\0');
763 cs = diff_partial(a, b, alo, ap, blo, bp);
764 csl = csl_join(csl, cs);
766 return csl;
769 #ifdef MAIN
771 main(int argc, char *argv[])
773 struct file a, b;
774 struct csl *csl;
775 struct elmnt *lst = xmalloc(argc*sizeof(*lst));
776 int arg;
777 struct v *v;
778 int ln;
780 arg = 1;
781 a.elcnt = 0;
782 a.list = lst;
783 while (argv[arg] && strcmp(argv[arg], "--")) {
784 lst->hash = 0;
785 lst->start = argv[arg];
786 lst->len = strlen(argv[arg]);
787 a.elcnt++;
788 lst++;
789 arg++;
791 if (!argv[arg]) {
792 printf("AARGH\n");
793 exit(1);
795 arg++;
796 b.elcnt = 0;
797 b.list = lst;
798 while (argv[arg] && strcmp(argv[arg], "--")) {
799 lst->hash = 0;
800 lst->start = argv[arg];
801 lst->len = strlen(argv[arg]);
802 b.elcnt++;
803 lst++;
804 arg++;
807 csl = diff(a, b, 1);
808 fixup(&a, &b, csl);
809 while (csl && csl->len) {
810 int i;
811 printf("%d,%d for %d:\n", csl->a, csl->b, csl->len);
812 for (i = 0; i < csl->len; i++) {
813 printf(" %.*s (%.*s)\n",
814 a.list[csl->a+i].len, a.list[csl->a+i].start,
815 b.list[csl->b+i].len, b.list[csl->b+i].start);
817 csl++;
820 exit(0);
823 #endif