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| author | João Távora | 2026-02-03 12:14:03 +0000 |
|---|---|---|
| committer | João Távora | 2026-02-05 15:17:42 +0000 |
| commit | afb422bb9840a4b24ed803fdd3546bc4ef2bcb4f (patch) | |
| tree | b90dd79c8c85aca68ab3eaa301f6b0757d9d3813 /src/minibuf.c | |
| parent | 3ea1010a6b0a63e90896133deaba189f13d47436 (diff) | |
| download | emacs-feature/newflex.tar.gz emacs-feature/newflex.zip | |
Rewrite flex completion scoring with Gotoh algorithmfeature/newflex
The greedy regexp matching, broken scoring and broken highlight were
sources of frequent complaints about the 'flex' matching style. This
commit fixes that.
It was inspired by the 'hotfuzz' style available at
https://github.com/axelf4/hotfuzz which is a modified version of Gotoh's
1982 dynamic programming algorithm (see: GOTOH, Osamu. An improved
algorithm for matching biological sequences. Journal of molecular
biology, 1982, 162.3: 705-708.). That style is slightly more
sophisticated than 'flex' (has special rules for matching things at word
boundaries, a C module with multithreading support). It's almost (but not
entirely) void of hacks so it'd make a good candidate to replace 'flex'
entirely, but no progress has been made in getting it into Emacs's core
in over 2 years, so I thought I'd try my hand at it.
The new 'flex' implementation also uses Gotoh algorithm (apparently
a common choice for these kinds of task) and happens mostly in a new C
function. It is strictly more correct than the "old" flex. For
example, when matching the pattern 'goto' to, say, 'eglot--goto' and
'eglot--bol', no longer is the latter returned first, which was a
substantial annoyance. And of course the highlighting is also correctly
placed on the 'goto' not scattered across the candidate.
Regarding performance, it is faster than the naive 'flex', but that's
mainly because this commit also includes changes to the Elisp code which
make faster regexp's for the filtering step. It is slower than
'hotfuzz' when that style's C-module extension is leveraged. 'hotfuzz'
does the filtering and sorting steps together in C code and has
multithreaded workers there. The matching and scoring algorithm itself
is not the bottleneck.
Test code were refactored and more tests were added.
* src/minibuf.c (completion--flex-score-gotoh): New function.
* lisp/minibuffer.el (completion--flex-score): Rewrite.
(completion--flex-propertize): New function.
(completion-flex--pattern-str): New variable.
(flex-score-match-tightness): Make obsolete.
(completion-pcm--all-completions): Add optional override-re parameter.
(completion-pcm--hilit-commonality): No more re-based highlighting.
(completion-substring--all-completions): Add optional simple-re parameters.
(completion--flex-adjust-metadata): Tweak to new scoring API.
(completion-flex-try-completion, completion-flex-all-completions):
Pass simple-re parameter to completion-substring--all-completions.
(completion--hilit-from-re, completion--flex-score-1)
(completion--flex-score-last-md, completion-pcm--regexp): Delete.
* test/lisp/minibuffer-tests.el (completion--sorted-flex-completions):
New helper function.
(completion-flex-test-non-ascii): New test.
(completion--pcm-score): Delete.
(completion-pcm-test-3, completion-pcm-test-4)
(completion-substring-test-1, completion-substring-test-2)
(completion-flex-test-2, completion-flex-test-3): Remove old scoring
expectations.
Diffstat (limited to 'src/minibuf.c')
| -rw-r--r-- | src/minibuf.c | 197 |
1 files changed, 197 insertions, 0 deletions
diff --git a/src/minibuf.c b/src/minibuf.c index 5dc2b230883..f7dffc24b94 100644 --- a/src/minibuf.c +++ b/src/minibuf.c | |||
| @@ -20,6 +20,7 @@ along with GNU Emacs. If not, see <https://www.gnu.org/licenses/>. */ | |||
| 20 | 20 | ||
| 21 | #include <config.h> | 21 | #include <config.h> |
| 22 | #include <errno.h> | 22 | #include <errno.h> |
| 23 | #include <math.h> | ||
| 23 | 24 | ||
| 24 | #include <binary-io.h> | 25 | #include <binary-io.h> |
| 25 | 26 | ||
| @@ -2279,6 +2280,201 @@ init_minibuf_once_for_pdumper (void) | |||
| 2279 | last_minibuf_string = Qnil; | 2280 | last_minibuf_string = Qnil; |
| 2280 | } | 2281 | } |
| 2281 | 2282 | ||
| 2283 | /* FLEX/GOTOH algorithm for the 'flex' completion-style. Adapted from | ||
| 2284 | GOTOH, Osamu. An improved algorithm for matching biological | ||
| 2285 | sequences. Journal of molecular biology, 1982, 162.3: 705-708. | ||
| 2286 | |||
| 2287 | This algorithm matches patterns to candidate strings, or needles to | ||
| 2288 | haystacks. It works with cost matrices: imagine rows of these | ||
| 2289 | matrices as pattern characters, and columns as the candidate string | ||
| 2290 | characters. There is a -1 row, and a -1 column. The values there | ||
| 2291 | hold real costs used for situations "before the first ever" match of | ||
| 2292 | a pattern character to a string character. | ||
| 2293 | |||
| 2294 | M and D are cost matrices. At the end of the algorithm, M will have | ||
| 2295 | non-infinite values only for the spots where a pattern character | ||
| 2296 | matches a string character. So a non-infinite M[i,j] means the i-th | ||
| 2297 | character of the pattern matches the j-th character of the string. | ||
| 2298 | The value stored is the lowest possible cost the algorithm had to | ||
| 2299 | "pay" to be able to make that match there, given everything that may | ||
| 2300 | have happened before/to the left. An infinite value simply means no | ||
| 2301 | match at this pattern/string position. Note that both row and column | ||
| 2302 | of M may have more than one match at multiple indices. But this | ||
| 2303 | particular implementation of the algorithm assumes they have at least | ||
| 2304 | one match. | ||
| 2305 | |||
| 2306 | D (originally stands for 'Deletion' in the Gotoh paper) has "running | ||
| 2307 | costs". Each value D[i,j] represents what the algorithm has to pay | ||
| 2308 | to make or extend a gap when a match is found at i+1, j+1. By that | ||
| 2309 | time, that cost may or may not be lower than continuing from a match | ||
| 2310 | that had also been found at i,j. We always pick the lowest cost, and | ||
| 2311 | by the time we reach the final column, we know we have picked the | ||
| 2312 | cheapest possible path choosing when to gap, and when to follow up. | ||
| 2313 | |||
| 2314 | Along the way, we construct P, a matrix used just for backtracking, | ||
| 2315 | to reconstruct that path. Maybe P isn't needed, and all the | ||
| 2316 | information can be cleverly derived from the final state of M and D. | ||
| 2317 | But I couldn't make it work. */ | ||
| 2318 | DEFUN ("completion--flex-score-gotoh", Fcompletion__flex_score_gotoh, | ||
| 2319 | Scompletion__flex_score_gotoh, 2, 2, 0, | ||
| 2320 | doc: /* Compute flex score of STR matching PAT using Gotoh | ||
| 2321 | algorithm. Return nil if no match found, else return (COST . MATCHES) | ||
| 2322 | where COST is a fixnum (lower is better) and MATCHES is a list of match | ||
| 2323 | positions in STR. */) | ||
| 2324 | (Lisp_Object pat, Lisp_Object str) | ||
| 2325 | { | ||
| 2326 | /* Pre-allocated matrices for flex completion scoring. */ | ||
| 2327 | #define FLEX_MAX_STR_SIZE 512 | ||
| 2328 | #define FLEX_MAX_PAT_SIZE 128 | ||
| 2329 | #define FLEX_MAX_MATRIX_SIZE FLEX_MAX_PAT_SIZE * FLEX_MAX_STR_SIZE | ||
| 2330 | /* Macro for 2D indexing into "flat" arrays. */ | ||
| 2331 | #define MAT(matrix, i, j) ((matrix)[((i) + 1) * width + ((j) + 1)]) | ||
| 2332 | |||
| 2333 | CHECK_STRING (pat); | ||
| 2334 | CHECK_STRING (str); | ||
| 2335 | |||
| 2336 | size_t patlen = SCHARS (pat); | ||
| 2337 | size_t strlen = SCHARS (str); | ||
| 2338 | size_t width = strlen + 1; | ||
| 2339 | size_t size = (patlen + 1) * width; | ||
| 2340 | |||
| 2341 | /* Bail if strings are empty or matrix too large. */ | ||
| 2342 | if (patlen == 0 || strlen == 0) | ||
| 2343 | return Qnil; | ||
| 2344 | |||
| 2345 | if (size > FLEX_MAX_MATRIX_SIZE) | ||
| 2346 | return Qnil; | ||
| 2347 | |||
| 2348 | /* Cost constants (lower is better). Maybe these could be | ||
| 2349 | defcustom's?*/ | ||
| 2350 | const int gap_open_cost = 10; | ||
| 2351 | const int gap_extend_cost = 1; | ||
| 2352 | const int pos_inf = INT_MAX / 2; | ||
| 2353 | |||
| 2354 | static int M[FLEX_MAX_MATRIX_SIZE]; | ||
| 2355 | static int D[FLEX_MAX_MATRIX_SIZE]; | ||
| 2356 | static size_t P[FLEX_MAX_MATRIX_SIZE]; | ||
| 2357 | |||
| 2358 | /* Initialize costs. Fill both matrices with positive infinity. */ | ||
| 2359 | for (int j = 0; j < size; j++) M[j] = pos_inf; | ||
| 2360 | for (int j = 0; j < size; j++) D[j] = pos_inf; | ||
| 2361 | /* Except for D[0,0], which is 0, for prioritizing matches at the | ||
| 2362 | beginning. Remaining elements on the first row are gap_open_cost/2 | ||
| 2363 | to represent cheaper leading gaps. */ | ||
| 2364 | for (int j = 0; j < width; j++) D[j] = gap_open_cost/2; | ||
| 2365 | D[0] = 0; | ||
| 2366 | |||
| 2367 | /* Index of last match before gap started, as computed in the previous | ||
| 2368 | row. Used to build P. */ | ||
| 2369 | int prev_gap_origin = -1; | ||
| 2370 | |||
| 2371 | /* Poor man's iterator type. */ | ||
| 2372 | typedef struct iter { int x; ptrdiff_t c; ptrdiff_t b; } iter_t; | ||
| 2373 | |||
| 2374 | /* Info about first match computed in the previous row. */ | ||
| 2375 | iter_t prev_match = {0,0,0}; | ||
| 2376 | /* Forward pass. */ | ||
| 2377 | for (iter_t i = {0,0,0}; i.x < patlen; i.x++) | ||
| 2378 | { | ||
| 2379 | int pat_char = fetch_string_char_advance(pat, &i.c, &i.b); | ||
| 2380 | int gap_origin = -1; | ||
| 2381 | bool match_seen = false; | ||
| 2382 | |||
| 2383 | for (iter_t j = prev_match; j.x < strlen; j.x++) | ||
| 2384 | { | ||
| 2385 | iter_t jcopy = j; /* else advance function destroys it... */ | ||
| 2386 | int str_char | ||
| 2387 | = fetch_string_char_advance (str, &j.c, &j.b); | ||
| 2388 | |||
| 2389 | /* Check if characters match (case-insensitive if needed). */ | ||
| 2390 | bool cmatch; | ||
| 2391 | if (completion_ignore_case) | ||
| 2392 | cmatch = (downcase (pat_char) == downcase (str_char)); | ||
| 2393 | else | ||
| 2394 | cmatch = (pat_char == str_char); | ||
| 2395 | |||
| 2396 | /* Compute match cost M[i][j], i.e. replace its infinite | ||
| 2397 | value with something finite. */ | ||
| 2398 | if (cmatch) | ||
| 2399 | { | ||
| 2400 | if (!match_seen) | ||
| 2401 | { | ||
| 2402 | match_seen = true; | ||
| 2403 | prev_match = jcopy; | ||
| 2404 | } | ||
| 2405 | int pmatch_cost = MAT (M, i.x - 1, j.x - 1); | ||
| 2406 | int pgap_cost = MAT (D, i.x - 1, j.x - 1); | ||
| 2407 | |||
| 2408 | if (pmatch_cost <= pgap_cost) | ||
| 2409 | { | ||
| 2410 | /* Not only did the previous char also match (else | ||
| 2411 | pmatch_cost would have been infinite) but following | ||
| 2412 | it up with this match is best overall. */ | ||
| 2413 | MAT (M, i.x, j.x) = pmatch_cost; | ||
| 2414 | MAT (P, i.x, j.x) = j.x - 1; | ||
| 2415 | } | ||
| 2416 | else | ||
| 2417 | { | ||
| 2418 | /* Gapping is best, regardless of whether the previous | ||
| 2419 | char also matched. That is, it's better to arrive at | ||
| 2420 | this match from a gap. */ | ||
| 2421 | MAT (M, i.x, j.x) = pgap_cost; | ||
| 2422 | MAT (P, i.x, j.x) = prev_gap_origin; | ||
| 2423 | } | ||
| 2424 | } | ||
| 2425 | |||
| 2426 | /* Regardless of a match here, compute D[i,j], the best | ||
| 2427 | accumulated gapping cost at this point, considering whether | ||
| 2428 | it's more advantageous to open from a previous match on | ||
| 2429 | this row (a cost which may well be infinite if no such | ||
| 2430 | match ever existed) or extend a gap started sometime | ||
| 2431 | before. The next iteration will take this into account, | ||
| 2432 | and so will the next row when analyzing a possible match | ||
| 2433 | for the j+1-th string character. */ | ||
| 2434 | int open_cost = MAT (M, i.x, j.x - 1) + gap_open_cost; | ||
| 2435 | int extend_cost = MAT (D, i.x, j.x - 1) + gap_extend_cost; | ||
| 2436 | |||
| 2437 | if (open_cost < extend_cost) | ||
| 2438 | { | ||
| 2439 | MAT (D, i.x, j.x) = open_cost; | ||
| 2440 | gap_origin = j.x - 1; /* New gap. */ | ||
| 2441 | } | ||
| 2442 | else | ||
| 2443 | MAT (D, i.x, j.x) = extend_cost; /* Extend gap. */ | ||
| 2444 | } | ||
| 2445 | prev_gap_origin = gap_origin; | ||
| 2446 | } | ||
| 2447 | |||
| 2448 | /* Find best (lowest) cost in last row. */ | ||
| 2449 | int best_cost = pos_inf; | ||
| 2450 | int lastcol = -1; | ||
| 2451 | |||
| 2452 | for (int j = 0; j < strlen; j++) | ||
| 2453 | { | ||
| 2454 | int cost = MAT (M, patlen - 1, j); | ||
| 2455 | if (cost < best_cost) | ||
| 2456 | { | ||
| 2457 | best_cost = cost; | ||
| 2458 | lastcol = j; | ||
| 2459 | } | ||
| 2460 | } | ||
| 2461 | |||
| 2462 | if (lastcol < 0 || best_cost >= pos_inf) | ||
| 2463 | return Qnil; | ||
| 2464 | |||
| 2465 | /* Build match positions list by tracing back through P matrix. */ | ||
| 2466 | Lisp_Object matches = Qnil; | ||
| 2467 | for (int i = patlen - 1, l = lastcol; i >= 0 && l >= 0; i--) | ||
| 2468 | { | ||
| 2469 | matches = Fcons (make_fixnum (l), matches); | ||
| 2470 | l = MAT (P, i, l); | ||
| 2471 | } | ||
| 2472 | |||
| 2473 | return Fcons (make_fixnum (best_cost), matches); | ||
| 2474 | #undef MAT | ||
| 2475 | |||
| 2476 | } | ||
| 2477 | |||
| 2282 | void | 2478 | void |
| 2283 | syms_of_minibuf (void) | 2479 | syms_of_minibuf (void) |
| 2284 | { | 2480 | { |
| @@ -2541,6 +2737,7 @@ showing the *Completions* buffer, if any. */); | |||
| 2541 | defsubr (&Stest_completion); | 2737 | defsubr (&Stest_completion); |
| 2542 | defsubr (&Sassoc_string); | 2738 | defsubr (&Sassoc_string); |
| 2543 | defsubr (&Scompleting_read); | 2739 | defsubr (&Scompleting_read); |
| 2740 | defsubr (&Scompletion__flex_score_gotoh); | ||
| 2544 | DEFSYM (Qminibuffer_quit_recursive_edit, "minibuffer-quit-recursive-edit"); | 2741 | DEFSYM (Qminibuffer_quit_recursive_edit, "minibuffer-quit-recursive-edit"); |
| 2545 | DEFSYM (Qinternal_complete_buffer, "internal-complete-buffer"); | 2742 | DEFSYM (Qinternal_complete_buffer, "internal-complete-buffer"); |
| 2546 | DEFSYM (Qcompleting_read_function, "completing-read-function"); | 2743 | DEFSYM (Qcompleting_read_function, "completing-read-function"); |