##// END OF EJS Templates
copies-rust: add smarter approach for merging small mapping with large mapping...
copies-rust: add smarter approach for merging small mapping with large mapping The current approach (finding the smaller updated set) works great when the mapping have similar size, but do a lot of unnecessary work when one side is tinier than the other one. So we do better in theses cases. See inline documentation for details. It give a sizeable boost to many of out slower cases: Repo Case Source-Rev Dest-Rev # of revisions old time new time Difference Factor time per rev --------------------------------------------------------------------------------------------------------------------------------------------------------------- mozilla-try x00000_revs_x_added_0_copies 6a320851d377 1ebb79acd503 : 363753 revs, 18.123103 s, 5.693818 s, -12.429285 s, × 0.3142, 15 µs/rev mozilla-try x00000_revs_x_added_x_copies 5173c4b6f97c 95d83ee7242d : 362229 revs, 17.907312 s, 5.677655 s, -12.229657 s, × 0.3171, 15 µs/rev mozilla-try x00000_revs_x000_added_x_copies 9126823d0e9c ca82787bb23c : 359344 revs, 17.684797 s, 5.563370 s, -12.121427 s, × 0.3146, 15 µs/rev mozilla-try x00000_revs_x0000_added_x0000_copies 8d3fafa80d4b eb884023b810 : 192665 revs, 2.881471 s, 2.864099 s, -0.017372 s, × 0.9940, 14 µs/rev mozilla-try x00000_revs_x00000_added_x000_copies 9b2a99adc05e 8e29777b48e6 : 382065 revs, 63.148971 s, 59.498652 s, -3.650319 s, × 0.9422, 155 µs/rev mozilla-try x00000_revs_x00000_added_x000_copies 9b2a99adc05e 8e29777b48e6 : 382065 revs, 63.148971 s, 59.498652 s, -3.650319 s, × 0.9422, 155 µs/rev ideally, the im-rs object would have a `merge` method, but it does not (yet) Full timing comparison below (they are one pathological case than become even worse, for unclear reason). Repo Case Source-Rev Dest-Rev # of revisions old time new time Difference Factor time per rev --------------------------------------------------------------------------------------------------------------------------------------------------------------- mercurial x_revs_x_added_0_copies ad6b123de1c7 39cfcef4f463 : 1 revs, 0.000043 s, 0.000042 s, -0.000001 s, × 0.9767, 42 µs/rev mercurial x_revs_x_added_x_copies 2b1c78674230 0c1d10351869 : 6 revs, 0.000105 s, 0.000104 s, -0.000001 s, × 0.9905, 17 µs/rev mercurial x000_revs_x000_added_x_copies 81f8ff2a9bf2 dd3267698d84 : 1032 revs, 0.004895 s, 0.004913 s, +0.000018 s, × 1.0037, 4 µs/rev pypy x_revs_x_added_0_copies aed021ee8ae8 099ed31b181b : 9 revs, 0.000194 s, 0.000191 s, -0.000003 s, × 0.9845, 21 µs/rev pypy x_revs_x000_added_0_copies 4aa4e1f8e19a 359343b9ac0e : 1 revs, 0.000050 s, 0.000050 s, +0.000000 s, × 1.0000, 50 µs/rev pypy x_revs_x_added_x_copies ac52eb7bbbb0 72e022663155 : 7 revs, 0.000115 s, 0.000112 s, -0.000003 s, × 0.9739, 16 µs/rev pypy x_revs_x00_added_x_copies c3b14617fbd7 ace7255d9a26 : 1 revs, 0.000289 s, 0.000288 s, -0.000001 s, × 0.9965, 288 µs/rev pypy x_revs_x000_added_x000_copies df6f7a526b60 a83dc6a2d56f : 6 revs, 0.010513 s, 0.010411 s, -0.000102 s, × 0.9903, 1735 µs/rev pypy x000_revs_xx00_added_0_copies 89a76aede314 2f22446ff07e : 4785 revs, 0.051474 s, 0.052852 s, +0.001378 s, × 1.0268, 11 µs/rev pypy x000_revs_x000_added_x_copies 8a3b5bfd266e 2c68e87c3efe : 6780 revs, 0.088086 s, 0.092828 s, +0.004742 s, × 1.0538, 13 µs/rev pypy x000_revs_x000_added_x000_copies 89a76aede314 7b3dda341c84 : 5441 revs, 0.062176 s, 0.063269 s, +0.001093 s, × 1.0176, 11 µs/rev pypy x0000_revs_x_added_0_copies d1defd0dc478 c9cb1334cc78 : 43645 revs, 0.720950 s, 0.711975 s, -0.008975 s, × 0.9876, 16 µs/rev pypy x0000_revs_xx000_added_0_copies bf2c629d0071 4ffed77c095c : 2 revs, 0.012897 s, 0.012771 s, -0.000126 s, × 0.9902, 6385 µs/rev pypy x0000_revs_xx000_added_x000_copies 08ea3258278e d9fa043f30c0 : 11316 revs, 0.121524 s, 0.124505 s, +0.002981 s, × 1.0245, 11 µs/rev netbeans x_revs_x_added_0_copies fb0955ffcbcd a01e9239f9e7 : 2 revs, 0.000082 s, 0.000082 s, +0.000000 s, × 1.0000, 41 µs/rev netbeans x_revs_x000_added_0_copies 6f360122949f 20eb231cc7d0 : 2 revs, 0.000109 s, 0.000111 s, +0.000002 s, × 1.0183, 55 µs/rev netbeans x_revs_x_added_x_copies 1ada3faf6fb6 5a39d12eecf4 : 3 revs, 0.000175 s, 0.000171 s, -0.000004 s, × 0.9771, 57 µs/rev netbeans x_revs_x00_added_x_copies 35be93ba1e2c 9eec5e90c05f : 9 revs, 0.000719 s, 0.000708 s, -0.000011 s, × 0.9847, 78 µs/rev netbeans x000_revs_xx00_added_0_copies eac3045b4fdd 51d4ae7f1290 : 1421 revs, 0.010426 s, 0.010608 s, +0.000182 s, × 1.0175, 7 µs/rev netbeans x000_revs_x000_added_x_copies e2063d266acd 6081d72689dc : 1533 revs, 0.015712 s, 0.015635 s, -0.000077 s, × 0.9951, 10 µs/rev netbeans x000_revs_x000_added_x000_copies ff453e9fee32 411350406ec2 : 5750 revs, 0.077353 s, 0.072072 s, -0.005281 s, × 0.9317, 12 µs/rev netbeans x0000_revs_xx000_added_x000_copies 588c2d1ced70 1aad62e59ddd : 66949 revs, 0.673930 s, 0.682732 s, +0.008802 s, × 1.0131, 10 µs/rev mozilla-central x_revs_x_added_0_copies 3697f962bb7b 7015fcdd43a2 : 2 revs, 0.000089 s, 0.000090 s, +0.000001 s, × 1.0112, 45 µs/rev mozilla-central x_revs_x000_added_0_copies dd390860c6c9 40d0c5bed75d : 8 revs, 0.000212 s, 0.000210 s, -0.000002 s, × 0.9906, 26 µs/rev mozilla-central x_revs_x_added_x_copies 8d198483ae3b 14207ffc2b2f : 9 revs, 0.000183 s, 0.000182 s, -0.000001 s, × 0.9945, 20 µs/rev mozilla-central x_revs_x00_added_x_copies 98cbc58cc6bc 446a150332c3 : 7 revs, 0.000595 s, 0.000594 s, -0.000001 s, × 0.9983, 84 µs/rev mozilla-central x_revs_x000_added_x000_copies 3c684b4b8f68 0a5e72d1b479 : 3 revs, 0.003117 s, 0.003102 s, -0.000015 s, × 0.9952, 1034 µs/rev mozilla-central x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 6 revs, 0.060197 s, 0.060234 s, +0.000037 s, × 1.0006, 10039 µs/rev mozilla-central x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 1593 revs, 0.006379 s, 0.006300 s, -0.000079 s, × 0.9876, 3 µs/rev mozilla-central x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 41 revs, 0.005008 s, 0.004817 s, -0.000191 s, × 0.9619, 117 µs/rev mozilla-central x000_revs_x000_added_x000_copies 7c97034feb78 4407bd0c6330 : 7839 revs, 0.065123 s, 0.065451 s, +0.000328 s, × 1.0050, 8 µs/rev mozilla-central x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 615 revs, 0.026404 s, 0.026282 s, -0.000122 s, × 0.9954, 42 µs/rev mozilla-central x0000_revs_xx000_added_x000_copies f78c615a656c 96a38b690156 : 30263 revs, 0.203456 s, 0.206873 s, +0.003417 s, × 1.0168, 6 µs/rev mozilla-central x00000_revs_x0000_added_x0000_copies 6832ae71433c 4c222a1d9a00 : 153721 revs, 1.929809 s, 1.935918 s, +0.006109 s, × 1.0032, 12 µs/rev mozilla-central x00000_revs_x00000_added_x000_copies 76caed42cf7c 1daa622bbe42 : 204976 revs, 2.825064 s, 2.827320 s, +0.002256 s, × 1.0008, 13 µs/rev mozilla-try x_revs_x_added_0_copies aaf6dde0deb8 9790f499805a : 2 revs, 0.000857 s, 0.000842 s, -0.000015 s, × 0.9825, 421 µs/rev mozilla-try x_revs_x000_added_0_copies d8d0222927b4 5bb8ce8c7450 : 2 revs, 0.000870 s, 0.000870 s, +0.000000 s, × 1.0000, 435 µs/rev mozilla-try x_revs_x_added_x_copies 092fcca11bdb 936255a0384a : 4 revs, 0.000161 s, 0.000165 s, +0.000004 s, × 1.0248, 41 µs/rev mozilla-try x_revs_x00_added_x_copies b53d2fadbdb5 017afae788ec : 2 revs, 0.001147 s, 0.001145 s, -0.000002 s, × 0.9983, 572 µs/rev mozilla-try x_revs_x000_added_x000_copies 20408ad61ce5 6f0ee96e21ad : 1 revs, 0.026640 s, 0.026500 s, -0.000140 s, × 0.9947, 26500 µs/rev mozilla-try x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 6 revs, 0.059849 s, 0.059407 s, -0.000442 s, × 0.9926, 9901 µs/rev mozilla-try x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 1593 revs, 0.006326 s, 0.006325 s, -0.000001 s, × 0.9998, 3 µs/rev mozilla-try x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 41 revs, 0.005188 s, 0.005171 s, -0.000017 s, × 0.9967, 126 µs/rev mozilla-try x000_revs_x000_added_x000_copies 1346fd0130e4 4c65cbdabc1f : 6657 revs, 0.067633 s, 0.066837 s, -0.000796 s, × 0.9882, 10 µs/rev mozilla-try x0000_revs_x_added_0_copies 63519bfd42ee a36a2a865d92 : 40314 revs, 0.306969 s, 0.314252 s, +0.007283 s, × 1.0237, 7 µs/rev mozilla-try x0000_revs_x_added_x_copies 9fe69ff0762d bcabf2a78927 : 38690 revs, 0.293370 s, 0.304160 s, +0.010790 s, × 1.0368, 7 µs/rev mozilla-try x0000_revs_xx000_added_x_copies 156f6e2674f2 4d0f2c178e66 : 8598 revs, 0.087159 s, 0.089223 s, +0.002064 s, × 1.0237, 10 µs/rev mozilla-try x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 615 revs, 0.027251 s, 0.026711 s, -0.000540 s, × 0.9802, 43 µs/rev mozilla-try x0000_revs_xx000_added_x000_copies 89294cd501d9 7ccb2fc7ccb5 : 97052 revs, 3.010011 s, 3.243010 s, +0.232999 s, × 1.0774, 33 µs/rev mozilla-try x0000_revs_x0000_added_x0000_copies e928c65095ed e951f4ad123a : 52031 revs, 0.753434 s, 0.756500 s, +0.003066 s, × 1.0041, 14 µs/rev mozilla-try x00000_revs_x_added_0_copies 6a320851d377 1ebb79acd503 : 363753 revs, 18.123103 s, 5.693818 s, -12.429285 s, × 0.3142, 15 µs/rev mozilla-try x00000_revs_x00000_added_0_copies dc8a3ca7010e d16fde900c9c : 34414 revs, 0.583206 s, 0.590904 s, +0.007698 s, × 1.0132, 17 µs/rev mozilla-try x00000_revs_x_added_x_copies 5173c4b6f97c 95d83ee7242d : 362229 revs, 17.907312 s, 5.677655 s, -12.229657 s, × 0.3171, 15 µs/rev mozilla-try x00000_revs_x000_added_x_copies 9126823d0e9c ca82787bb23c : 359344 revs, 17.684797 s, 5.563370 s, -12.121427 s, × 0.3146, 15 µs/rev mozilla-try x00000_revs_x0000_added_x0000_copies 8d3fafa80d4b eb884023b810 : 192665 revs, 2.881471 s, 2.864099 s, -0.017372 s, × 0.9940, 14 µs/rev mozilla-try x00000_revs_x00000_added_x0000_copies 1b661134e2ca 1ae03d022d6d : 228985 revs, 101.062002 s, 113.297287 s, +12.235285 s, × 1.1211, 494 µs/rev mozilla-try x00000_revs_x00000_added_x000_copies 9b2a99adc05e 8e29777b48e6 : 382065 revs, 63.148971 s, 59.498652 s, -3.650319 s, × 0.9422, 155 µs/rev Differential Revision: https://phab.mercurial-scm.org/D9491

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cover.c
1236 lines | 41.2 KiB | text/x-c | CLexer
/*
* Copyright (c) 2016-present, Yann Collet, Facebook, Inc.
* All rights reserved.
*
* This source code is licensed under both the BSD-style license (found in the
* LICENSE file in the root directory of this source tree) and the GPLv2 (found
* in the COPYING file in the root directory of this source tree).
* You may select, at your option, one of the above-listed licenses.
*/
/* *****************************************************************************
* Constructs a dictionary using a heuristic based on the following paper:
*
* Liao, Petri, Moffat, Wirth
* Effective Construction of Relative Lempel-Ziv Dictionaries
* Published in WWW 2016.
*
* Adapted from code originally written by @ot (Giuseppe Ottaviano).
******************************************************************************/
/*-*************************************
* Dependencies
***************************************/
#include <stdio.h> /* fprintf */
#include <stdlib.h> /* malloc, free, qsort */
#include <string.h> /* memset */
#include <time.h> /* clock */
#include "mem.h" /* read */
#include "pool.h"
#include "threading.h"
#include "cover.h"
#include "zstd_internal.h" /* includes zstd.h */
#ifndef ZDICT_STATIC_LINKING_ONLY
#define ZDICT_STATIC_LINKING_ONLY
#endif
#include "zdict.h"
/*-*************************************
* Constants
***************************************/
#define COVER_MAX_SAMPLES_SIZE (sizeof(size_t) == 8 ? ((unsigned)-1) : ((unsigned)1 GB))
#define DEFAULT_SPLITPOINT 1.0
/*-*************************************
* Console display
***************************************/
static int g_displayLevel = 2;
#define DISPLAY(...) \
{ \
fprintf(stderr, __VA_ARGS__); \
fflush(stderr); \
}
#define LOCALDISPLAYLEVEL(displayLevel, l, ...) \
if (displayLevel >= l) { \
DISPLAY(__VA_ARGS__); \
} /* 0 : no display; 1: errors; 2: default; 3: details; 4: debug */
#define DISPLAYLEVEL(l, ...) LOCALDISPLAYLEVEL(g_displayLevel, l, __VA_ARGS__)
#define LOCALDISPLAYUPDATE(displayLevel, l, ...) \
if (displayLevel >= l) { \
if ((clock() - g_time > refreshRate) || (displayLevel >= 4)) { \
g_time = clock(); \
DISPLAY(__VA_ARGS__); \
} \
}
#define DISPLAYUPDATE(l, ...) LOCALDISPLAYUPDATE(g_displayLevel, l, __VA_ARGS__)
static const clock_t refreshRate = CLOCKS_PER_SEC * 15 / 100;
static clock_t g_time = 0;
/*-*************************************
* Hash table
***************************************
* A small specialized hash map for storing activeDmers.
* The map does not resize, so if it becomes full it will loop forever.
* Thus, the map must be large enough to store every value.
* The map implements linear probing and keeps its load less than 0.5.
*/
#define MAP_EMPTY_VALUE ((U32)-1)
typedef struct COVER_map_pair_t_s {
U32 key;
U32 value;
} COVER_map_pair_t;
typedef struct COVER_map_s {
COVER_map_pair_t *data;
U32 sizeLog;
U32 size;
U32 sizeMask;
} COVER_map_t;
/**
* Clear the map.
*/
static void COVER_map_clear(COVER_map_t *map) {
memset(map->data, MAP_EMPTY_VALUE, map->size * sizeof(COVER_map_pair_t));
}
/**
* Initializes a map of the given size.
* Returns 1 on success and 0 on failure.
* The map must be destroyed with COVER_map_destroy().
* The map is only guaranteed to be large enough to hold size elements.
*/
static int COVER_map_init(COVER_map_t *map, U32 size) {
map->sizeLog = ZSTD_highbit32(size) + 2;
map->size = (U32)1 << map->sizeLog;
map->sizeMask = map->size - 1;
map->data = (COVER_map_pair_t *)malloc(map->size * sizeof(COVER_map_pair_t));
if (!map->data) {
map->sizeLog = 0;
map->size = 0;
return 0;
}
COVER_map_clear(map);
return 1;
}
/**
* Internal hash function
*/
static const U32 prime4bytes = 2654435761U;
static U32 COVER_map_hash(COVER_map_t *map, U32 key) {
return (key * prime4bytes) >> (32 - map->sizeLog);
}
/**
* Helper function that returns the index that a key should be placed into.
*/
static U32 COVER_map_index(COVER_map_t *map, U32 key) {
const U32 hash = COVER_map_hash(map, key);
U32 i;
for (i = hash;; i = (i + 1) & map->sizeMask) {
COVER_map_pair_t *pos = &map->data[i];
if (pos->value == MAP_EMPTY_VALUE) {
return i;
}
if (pos->key == key) {
return i;
}
}
}
/**
* Returns the pointer to the value for key.
* If key is not in the map, it is inserted and the value is set to 0.
* The map must not be full.
*/
static U32 *COVER_map_at(COVER_map_t *map, U32 key) {
COVER_map_pair_t *pos = &map->data[COVER_map_index(map, key)];
if (pos->value == MAP_EMPTY_VALUE) {
pos->key = key;
pos->value = 0;
}
return &pos->value;
}
/**
* Deletes key from the map if present.
*/
static void COVER_map_remove(COVER_map_t *map, U32 key) {
U32 i = COVER_map_index(map, key);
COVER_map_pair_t *del = &map->data[i];
U32 shift = 1;
if (del->value == MAP_EMPTY_VALUE) {
return;
}
for (i = (i + 1) & map->sizeMask;; i = (i + 1) & map->sizeMask) {
COVER_map_pair_t *const pos = &map->data[i];
/* If the position is empty we are done */
if (pos->value == MAP_EMPTY_VALUE) {
del->value = MAP_EMPTY_VALUE;
return;
}
/* If pos can be moved to del do so */
if (((i - COVER_map_hash(map, pos->key)) & map->sizeMask) >= shift) {
del->key = pos->key;
del->value = pos->value;
del = pos;
shift = 1;
} else {
++shift;
}
}
}
/**
* Destroys a map that is inited with COVER_map_init().
*/
static void COVER_map_destroy(COVER_map_t *map) {
if (map->data) {
free(map->data);
}
map->data = NULL;
map->size = 0;
}
/*-*************************************
* Context
***************************************/
typedef struct {
const BYTE *samples;
size_t *offsets;
const size_t *samplesSizes;
size_t nbSamples;
size_t nbTrainSamples;
size_t nbTestSamples;
U32 *suffix;
size_t suffixSize;
U32 *freqs;
U32 *dmerAt;
unsigned d;
} COVER_ctx_t;
/* We need a global context for qsort... */
static COVER_ctx_t *g_ctx = NULL;
/*-*************************************
* Helper functions
***************************************/
/**
* Returns the sum of the sample sizes.
*/
size_t COVER_sum(const size_t *samplesSizes, unsigned nbSamples) {
size_t sum = 0;
unsigned i;
for (i = 0; i < nbSamples; ++i) {
sum += samplesSizes[i];
}
return sum;
}
/**
* Returns -1 if the dmer at lp is less than the dmer at rp.
* Return 0 if the dmers at lp and rp are equal.
* Returns 1 if the dmer at lp is greater than the dmer at rp.
*/
static int COVER_cmp(COVER_ctx_t *ctx, const void *lp, const void *rp) {
U32 const lhs = *(U32 const *)lp;
U32 const rhs = *(U32 const *)rp;
return memcmp(ctx->samples + lhs, ctx->samples + rhs, ctx->d);
}
/**
* Faster version for d <= 8.
*/
static int COVER_cmp8(COVER_ctx_t *ctx, const void *lp, const void *rp) {
U64 const mask = (ctx->d == 8) ? (U64)-1 : (((U64)1 << (8 * ctx->d)) - 1);
U64 const lhs = MEM_readLE64(ctx->samples + *(U32 const *)lp) & mask;
U64 const rhs = MEM_readLE64(ctx->samples + *(U32 const *)rp) & mask;
if (lhs < rhs) {
return -1;
}
return (lhs > rhs);
}
/**
* Same as COVER_cmp() except ties are broken by pointer value
* NOTE: g_ctx must be set to call this function. A global is required because
* qsort doesn't take an opaque pointer.
*/
static int COVER_strict_cmp(const void *lp, const void *rp) {
int result = COVER_cmp(g_ctx, lp, rp);
if (result == 0) {
result = lp < rp ? -1 : 1;
}
return result;
}
/**
* Faster version for d <= 8.
*/
static int COVER_strict_cmp8(const void *lp, const void *rp) {
int result = COVER_cmp8(g_ctx, lp, rp);
if (result == 0) {
result = lp < rp ? -1 : 1;
}
return result;
}
/**
* Returns the first pointer in [first, last) whose element does not compare
* less than value. If no such element exists it returns last.
*/
static const size_t *COVER_lower_bound(const size_t *first, const size_t *last,
size_t value) {
size_t count = last - first;
while (count != 0) {
size_t step = count / 2;
const size_t *ptr = first;
ptr += step;
if (*ptr < value) {
first = ++ptr;
count -= step + 1;
} else {
count = step;
}
}
return first;
}
/**
* Generic groupBy function.
* Groups an array sorted by cmp into groups with equivalent values.
* Calls grp for each group.
*/
static void
COVER_groupBy(const void *data, size_t count, size_t size, COVER_ctx_t *ctx,
int (*cmp)(COVER_ctx_t *, const void *, const void *),
void (*grp)(COVER_ctx_t *, const void *, const void *)) {
const BYTE *ptr = (const BYTE *)data;
size_t num = 0;
while (num < count) {
const BYTE *grpEnd = ptr + size;
++num;
while (num < count && cmp(ctx, ptr, grpEnd) == 0) {
grpEnd += size;
++num;
}
grp(ctx, ptr, grpEnd);
ptr = grpEnd;
}
}
/*-*************************************
* Cover functions
***************************************/
/**
* Called on each group of positions with the same dmer.
* Counts the frequency of each dmer and saves it in the suffix array.
* Fills `ctx->dmerAt`.
*/
static void COVER_group(COVER_ctx_t *ctx, const void *group,
const void *groupEnd) {
/* The group consists of all the positions with the same first d bytes. */
const U32 *grpPtr = (const U32 *)group;
const U32 *grpEnd = (const U32 *)groupEnd;
/* The dmerId is how we will reference this dmer.
* This allows us to map the whole dmer space to a much smaller space, the
* size of the suffix array.
*/
const U32 dmerId = (U32)(grpPtr - ctx->suffix);
/* Count the number of samples this dmer shows up in */
U32 freq = 0;
/* Details */
const size_t *curOffsetPtr = ctx->offsets;
const size_t *offsetsEnd = ctx->offsets + ctx->nbSamples;
/* Once *grpPtr >= curSampleEnd this occurrence of the dmer is in a
* different sample than the last.
*/
size_t curSampleEnd = ctx->offsets[0];
for (; grpPtr != grpEnd; ++grpPtr) {
/* Save the dmerId for this position so we can get back to it. */
ctx->dmerAt[*grpPtr] = dmerId;
/* Dictionaries only help for the first reference to the dmer.
* After that zstd can reference the match from the previous reference.
* So only count each dmer once for each sample it is in.
*/
if (*grpPtr < curSampleEnd) {
continue;
}
freq += 1;
/* Binary search to find the end of the sample *grpPtr is in.
* In the common case that grpPtr + 1 == grpEnd we can skip the binary
* search because the loop is over.
*/
if (grpPtr + 1 != grpEnd) {
const size_t *sampleEndPtr =
COVER_lower_bound(curOffsetPtr, offsetsEnd, *grpPtr);
curSampleEnd = *sampleEndPtr;
curOffsetPtr = sampleEndPtr + 1;
}
}
/* At this point we are never going to look at this segment of the suffix
* array again. We take advantage of this fact to save memory.
* We store the frequency of the dmer in the first position of the group,
* which is dmerId.
*/
ctx->suffix[dmerId] = freq;
}
/**
* Selects the best segment in an epoch.
* Segments of are scored according to the function:
*
* Let F(d) be the frequency of dmer d.
* Let S_i be the dmer at position i of segment S which has length k.
*
* Score(S) = F(S_1) + F(S_2) + ... + F(S_{k-d+1})
*
* Once the dmer d is in the dictionary we set F(d) = 0.
*/
static COVER_segment_t COVER_selectSegment(const COVER_ctx_t *ctx, U32 *freqs,
COVER_map_t *activeDmers, U32 begin,
U32 end,
ZDICT_cover_params_t parameters) {
/* Constants */
const U32 k = parameters.k;
const U32 d = parameters.d;
const U32 dmersInK = k - d + 1;
/* Try each segment (activeSegment) and save the best (bestSegment) */
COVER_segment_t bestSegment = {0, 0, 0};
COVER_segment_t activeSegment;
/* Reset the activeDmers in the segment */
COVER_map_clear(activeDmers);
/* The activeSegment starts at the beginning of the epoch. */
activeSegment.begin = begin;
activeSegment.end = begin;
activeSegment.score = 0;
/* Slide the activeSegment through the whole epoch.
* Save the best segment in bestSegment.
*/
while (activeSegment.end < end) {
/* The dmerId for the dmer at the next position */
U32 newDmer = ctx->dmerAt[activeSegment.end];
/* The entry in activeDmers for this dmerId */
U32 *newDmerOcc = COVER_map_at(activeDmers, newDmer);
/* If the dmer isn't already present in the segment add its score. */
if (*newDmerOcc == 0) {
/* The paper suggest using the L-0.5 norm, but experiments show that it
* doesn't help.
*/
activeSegment.score += freqs[newDmer];
}
/* Add the dmer to the segment */
activeSegment.end += 1;
*newDmerOcc += 1;
/* If the window is now too large, drop the first position */
if (activeSegment.end - activeSegment.begin == dmersInK + 1) {
U32 delDmer = ctx->dmerAt[activeSegment.begin];
U32 *delDmerOcc = COVER_map_at(activeDmers, delDmer);
activeSegment.begin += 1;
*delDmerOcc -= 1;
/* If this is the last occurrence of the dmer, subtract its score */
if (*delDmerOcc == 0) {
COVER_map_remove(activeDmers, delDmer);
activeSegment.score -= freqs[delDmer];
}
}
/* If this segment is the best so far save it */
if (activeSegment.score > bestSegment.score) {
bestSegment = activeSegment;
}
}
{
/* Trim off the zero frequency head and tail from the segment. */
U32 newBegin = bestSegment.end;
U32 newEnd = bestSegment.begin;
U32 pos;
for (pos = bestSegment.begin; pos != bestSegment.end; ++pos) {
U32 freq = freqs[ctx->dmerAt[pos]];
if (freq != 0) {
newBegin = MIN(newBegin, pos);
newEnd = pos + 1;
}
}
bestSegment.begin = newBegin;
bestSegment.end = newEnd;
}
{
/* Zero out the frequency of each dmer covered by the chosen segment. */
U32 pos;
for (pos = bestSegment.begin; pos != bestSegment.end; ++pos) {
freqs[ctx->dmerAt[pos]] = 0;
}
}
return bestSegment;
}
/**
* Check the validity of the parameters.
* Returns non-zero if the parameters are valid and 0 otherwise.
*/
static int COVER_checkParameters(ZDICT_cover_params_t parameters,
size_t maxDictSize) {
/* k and d are required parameters */
if (parameters.d == 0 || parameters.k == 0) {
return 0;
}
/* k <= maxDictSize */
if (parameters.k > maxDictSize) {
return 0;
}
/* d <= k */
if (parameters.d > parameters.k) {
return 0;
}
/* 0 < splitPoint <= 1 */
if (parameters.splitPoint <= 0 || parameters.splitPoint > 1){
return 0;
}
return 1;
}
/**
* Clean up a context initialized with `COVER_ctx_init()`.
*/
static void COVER_ctx_destroy(COVER_ctx_t *ctx) {
if (!ctx) {
return;
}
if (ctx->suffix) {
free(ctx->suffix);
ctx->suffix = NULL;
}
if (ctx->freqs) {
free(ctx->freqs);
ctx->freqs = NULL;
}
if (ctx->dmerAt) {
free(ctx->dmerAt);
ctx->dmerAt = NULL;
}
if (ctx->offsets) {
free(ctx->offsets);
ctx->offsets = NULL;
}
}
/**
* Prepare a context for dictionary building.
* The context is only dependent on the parameter `d` and can used multiple
* times.
* Returns 0 on success or error code on error.
* The context must be destroyed with `COVER_ctx_destroy()`.
*/
static size_t COVER_ctx_init(COVER_ctx_t *ctx, const void *samplesBuffer,
const size_t *samplesSizes, unsigned nbSamples,
unsigned d, double splitPoint) {
const BYTE *const samples = (const BYTE *)samplesBuffer;
const size_t totalSamplesSize = COVER_sum(samplesSizes, nbSamples);
/* Split samples into testing and training sets */
const unsigned nbTrainSamples = splitPoint < 1.0 ? (unsigned)((double)nbSamples * splitPoint) : nbSamples;
const unsigned nbTestSamples = splitPoint < 1.0 ? nbSamples - nbTrainSamples : nbSamples;
const size_t trainingSamplesSize = splitPoint < 1.0 ? COVER_sum(samplesSizes, nbTrainSamples) : totalSamplesSize;
const size_t testSamplesSize = splitPoint < 1.0 ? COVER_sum(samplesSizes + nbTrainSamples, nbTestSamples) : totalSamplesSize;
/* Checks */
if (totalSamplesSize < MAX(d, sizeof(U64)) ||
totalSamplesSize >= (size_t)COVER_MAX_SAMPLES_SIZE) {
DISPLAYLEVEL(1, "Total samples size is too large (%u MB), maximum size is %u MB\n",
(unsigned)(totalSamplesSize>>20), (COVER_MAX_SAMPLES_SIZE >> 20));
return ERROR(srcSize_wrong);
}
/* Check if there are at least 5 training samples */
if (nbTrainSamples < 5) {
DISPLAYLEVEL(1, "Total number of training samples is %u and is invalid.", nbTrainSamples);
return ERROR(srcSize_wrong);
}
/* Check if there's testing sample */
if (nbTestSamples < 1) {
DISPLAYLEVEL(1, "Total number of testing samples is %u and is invalid.", nbTestSamples);
return ERROR(srcSize_wrong);
}
/* Zero the context */
memset(ctx, 0, sizeof(*ctx));
DISPLAYLEVEL(2, "Training on %u samples of total size %u\n", nbTrainSamples,
(unsigned)trainingSamplesSize);
DISPLAYLEVEL(2, "Testing on %u samples of total size %u\n", nbTestSamples,
(unsigned)testSamplesSize);
ctx->samples = samples;
ctx->samplesSizes = samplesSizes;
ctx->nbSamples = nbSamples;
ctx->nbTrainSamples = nbTrainSamples;
ctx->nbTestSamples = nbTestSamples;
/* Partial suffix array */
ctx->suffixSize = trainingSamplesSize - MAX(d, sizeof(U64)) + 1;
ctx->suffix = (U32 *)malloc(ctx->suffixSize * sizeof(U32));
/* Maps index to the dmerID */
ctx->dmerAt = (U32 *)malloc(ctx->suffixSize * sizeof(U32));
/* The offsets of each file */
ctx->offsets = (size_t *)malloc((nbSamples + 1) * sizeof(size_t));
if (!ctx->suffix || !ctx->dmerAt || !ctx->offsets) {
DISPLAYLEVEL(1, "Failed to allocate scratch buffers\n");
COVER_ctx_destroy(ctx);
return ERROR(memory_allocation);
}
ctx->freqs = NULL;
ctx->d = d;
/* Fill offsets from the samplesSizes */
{
U32 i;
ctx->offsets[0] = 0;
for (i = 1; i <= nbSamples; ++i) {
ctx->offsets[i] = ctx->offsets[i - 1] + samplesSizes[i - 1];
}
}
DISPLAYLEVEL(2, "Constructing partial suffix array\n");
{
/* suffix is a partial suffix array.
* It only sorts suffixes by their first parameters.d bytes.
* The sort is stable, so each dmer group is sorted by position in input.
*/
U32 i;
for (i = 0; i < ctx->suffixSize; ++i) {
ctx->suffix[i] = i;
}
/* qsort doesn't take an opaque pointer, so pass as a global.
* On OpenBSD qsort() is not guaranteed to be stable, their mergesort() is.
*/
g_ctx = ctx;
#if defined(__OpenBSD__)
mergesort(ctx->suffix, ctx->suffixSize, sizeof(U32),
(ctx->d <= 8 ? &COVER_strict_cmp8 : &COVER_strict_cmp));
#else
qsort(ctx->suffix, ctx->suffixSize, sizeof(U32),
(ctx->d <= 8 ? &COVER_strict_cmp8 : &COVER_strict_cmp));
#endif
}
DISPLAYLEVEL(2, "Computing frequencies\n");
/* For each dmer group (group of positions with the same first d bytes):
* 1. For each position we set dmerAt[position] = dmerID. The dmerID is
* (groupBeginPtr - suffix). This allows us to go from position to
* dmerID so we can look up values in freq.
* 2. We calculate how many samples the dmer occurs in and save it in
* freqs[dmerId].
*/
COVER_groupBy(ctx->suffix, ctx->suffixSize, sizeof(U32), ctx,
(ctx->d <= 8 ? &COVER_cmp8 : &COVER_cmp), &COVER_group);
ctx->freqs = ctx->suffix;
ctx->suffix = NULL;
return 0;
}
void COVER_warnOnSmallCorpus(size_t maxDictSize, size_t nbDmers, int displayLevel)
{
const double ratio = (double)nbDmers / maxDictSize;
if (ratio >= 10) {
return;
}
LOCALDISPLAYLEVEL(displayLevel, 1,
"WARNING: The maximum dictionary size %u is too large "
"compared to the source size %u! "
"size(source)/size(dictionary) = %f, but it should be >= "
"10! This may lead to a subpar dictionary! We recommend "
"training on sources at least 10x, and preferably 100x "
"the size of the dictionary! \n", (U32)maxDictSize,
(U32)nbDmers, ratio);
}
COVER_epoch_info_t COVER_computeEpochs(U32 maxDictSize,
U32 nbDmers, U32 k, U32 passes)
{
const U32 minEpochSize = k * 10;
COVER_epoch_info_t epochs;
epochs.num = MAX(1, maxDictSize / k / passes);
epochs.size = nbDmers / epochs.num;
if (epochs.size >= minEpochSize) {
assert(epochs.size * epochs.num <= nbDmers);
return epochs;
}
epochs.size = MIN(minEpochSize, nbDmers);
epochs.num = nbDmers / epochs.size;
assert(epochs.size * epochs.num <= nbDmers);
return epochs;
}
/**
* Given the prepared context build the dictionary.
*/
static size_t COVER_buildDictionary(const COVER_ctx_t *ctx, U32 *freqs,
COVER_map_t *activeDmers, void *dictBuffer,
size_t dictBufferCapacity,
ZDICT_cover_params_t parameters) {
BYTE *const dict = (BYTE *)dictBuffer;
size_t tail = dictBufferCapacity;
/* Divide the data into epochs. We will select one segment from each epoch. */
const COVER_epoch_info_t epochs = COVER_computeEpochs(
(U32)dictBufferCapacity, (U32)ctx->suffixSize, parameters.k, 4);
const size_t maxZeroScoreRun = MAX(10, MIN(100, epochs.num >> 3));
size_t zeroScoreRun = 0;
size_t epoch;
DISPLAYLEVEL(2, "Breaking content into %u epochs of size %u\n",
(U32)epochs.num, (U32)epochs.size);
/* Loop through the epochs until there are no more segments or the dictionary
* is full.
*/
for (epoch = 0; tail > 0; epoch = (epoch + 1) % epochs.num) {
const U32 epochBegin = (U32)(epoch * epochs.size);
const U32 epochEnd = epochBegin + epochs.size;
size_t segmentSize;
/* Select a segment */
COVER_segment_t segment = COVER_selectSegment(
ctx, freqs, activeDmers, epochBegin, epochEnd, parameters);
/* If the segment covers no dmers, then we are out of content.
* There may be new content in other epochs, for continue for some time.
*/
if (segment.score == 0) {
if (++zeroScoreRun >= maxZeroScoreRun) {
break;
}
continue;
}
zeroScoreRun = 0;
/* Trim the segment if necessary and if it is too small then we are done */
segmentSize = MIN(segment.end - segment.begin + parameters.d - 1, tail);
if (segmentSize < parameters.d) {
break;
}
/* We fill the dictionary from the back to allow the best segments to be
* referenced with the smallest offsets.
*/
tail -= segmentSize;
memcpy(dict + tail, ctx->samples + segment.begin, segmentSize);
DISPLAYUPDATE(
2, "\r%u%% ",
(unsigned)(((dictBufferCapacity - tail) * 100) / dictBufferCapacity));
}
DISPLAYLEVEL(2, "\r%79s\r", "");
return tail;
}
ZDICTLIB_API size_t ZDICT_trainFromBuffer_cover(
void *dictBuffer, size_t dictBufferCapacity,
const void *samplesBuffer, const size_t *samplesSizes, unsigned nbSamples,
ZDICT_cover_params_t parameters)
{
BYTE* const dict = (BYTE*)dictBuffer;
COVER_ctx_t ctx;
COVER_map_t activeDmers;
parameters.splitPoint = 1.0;
/* Initialize global data */
g_displayLevel = parameters.zParams.notificationLevel;
/* Checks */
if (!COVER_checkParameters(parameters, dictBufferCapacity)) {
DISPLAYLEVEL(1, "Cover parameters incorrect\n");
return ERROR(parameter_outOfBound);
}
if (nbSamples == 0) {
DISPLAYLEVEL(1, "Cover must have at least one input file\n");
return ERROR(srcSize_wrong);
}
if (dictBufferCapacity < ZDICT_DICTSIZE_MIN) {
DISPLAYLEVEL(1, "dictBufferCapacity must be at least %u\n",
ZDICT_DICTSIZE_MIN);
return ERROR(dstSize_tooSmall);
}
/* Initialize context and activeDmers */
{
size_t const initVal = COVER_ctx_init(&ctx, samplesBuffer, samplesSizes, nbSamples,
parameters.d, parameters.splitPoint);
if (ZSTD_isError(initVal)) {
return initVal;
}
}
COVER_warnOnSmallCorpus(dictBufferCapacity, ctx.suffixSize, g_displayLevel);
if (!COVER_map_init(&activeDmers, parameters.k - parameters.d + 1)) {
DISPLAYLEVEL(1, "Failed to allocate dmer map: out of memory\n");
COVER_ctx_destroy(&ctx);
return ERROR(memory_allocation);
}
DISPLAYLEVEL(2, "Building dictionary\n");
{
const size_t tail =
COVER_buildDictionary(&ctx, ctx.freqs, &activeDmers, dictBuffer,
dictBufferCapacity, parameters);
const size_t dictionarySize = ZDICT_finalizeDictionary(
dict, dictBufferCapacity, dict + tail, dictBufferCapacity - tail,
samplesBuffer, samplesSizes, nbSamples, parameters.zParams);
if (!ZSTD_isError(dictionarySize)) {
DISPLAYLEVEL(2, "Constructed dictionary of size %u\n",
(unsigned)dictionarySize);
}
COVER_ctx_destroy(&ctx);
COVER_map_destroy(&activeDmers);
return dictionarySize;
}
}
size_t COVER_checkTotalCompressedSize(const ZDICT_cover_params_t parameters,
const size_t *samplesSizes, const BYTE *samples,
size_t *offsets,
size_t nbTrainSamples, size_t nbSamples,
BYTE *const dict, size_t dictBufferCapacity) {
size_t totalCompressedSize = ERROR(GENERIC);
/* Pointers */
ZSTD_CCtx *cctx;
ZSTD_CDict *cdict;
void *dst;
/* Local variables */
size_t dstCapacity;
size_t i;
/* Allocate dst with enough space to compress the maximum sized sample */
{
size_t maxSampleSize = 0;
i = parameters.splitPoint < 1.0 ? nbTrainSamples : 0;
for (; i < nbSamples; ++i) {
maxSampleSize = MAX(samplesSizes[i], maxSampleSize);
}
dstCapacity = ZSTD_compressBound(maxSampleSize);
dst = malloc(dstCapacity);
}
/* Create the cctx and cdict */
cctx = ZSTD_createCCtx();
cdict = ZSTD_createCDict(dict, dictBufferCapacity,
parameters.zParams.compressionLevel);
if (!dst || !cctx || !cdict) {
goto _compressCleanup;
}
/* Compress each sample and sum their sizes (or error) */
totalCompressedSize = dictBufferCapacity;
i = parameters.splitPoint < 1.0 ? nbTrainSamples : 0;
for (; i < nbSamples; ++i) {
const size_t size = ZSTD_compress_usingCDict(
cctx, dst, dstCapacity, samples + offsets[i],
samplesSizes[i], cdict);
if (ZSTD_isError(size)) {
totalCompressedSize = size;
goto _compressCleanup;
}
totalCompressedSize += size;
}
_compressCleanup:
ZSTD_freeCCtx(cctx);
ZSTD_freeCDict(cdict);
if (dst) {
free(dst);
}
return totalCompressedSize;
}
/**
* Initialize the `COVER_best_t`.
*/
void COVER_best_init(COVER_best_t *best) {
if (best==NULL) return; /* compatible with init on NULL */
(void)ZSTD_pthread_mutex_init(&best->mutex, NULL);
(void)ZSTD_pthread_cond_init(&best->cond, NULL);
best->liveJobs = 0;
best->dict = NULL;
best->dictSize = 0;
best->compressedSize = (size_t)-1;
memset(&best->parameters, 0, sizeof(best->parameters));
}
/**
* Wait until liveJobs == 0.
*/
void COVER_best_wait(COVER_best_t *best) {
if (!best) {
return;
}
ZSTD_pthread_mutex_lock(&best->mutex);
while (best->liveJobs != 0) {
ZSTD_pthread_cond_wait(&best->cond, &best->mutex);
}
ZSTD_pthread_mutex_unlock(&best->mutex);
}
/**
* Call COVER_best_wait() and then destroy the COVER_best_t.
*/
void COVER_best_destroy(COVER_best_t *best) {
if (!best) {
return;
}
COVER_best_wait(best);
if (best->dict) {
free(best->dict);
}
ZSTD_pthread_mutex_destroy(&best->mutex);
ZSTD_pthread_cond_destroy(&best->cond);
}
/**
* Called when a thread is about to be launched.
* Increments liveJobs.
*/
void COVER_best_start(COVER_best_t *best) {
if (!best) {
return;
}
ZSTD_pthread_mutex_lock(&best->mutex);
++best->liveJobs;
ZSTD_pthread_mutex_unlock(&best->mutex);
}
/**
* Called when a thread finishes executing, both on error or success.
* Decrements liveJobs and signals any waiting threads if liveJobs == 0.
* If this dictionary is the best so far save it and its parameters.
*/
void COVER_best_finish(COVER_best_t *best, ZDICT_cover_params_t parameters,
COVER_dictSelection_t selection) {
void* dict = selection.dictContent;
size_t compressedSize = selection.totalCompressedSize;
size_t dictSize = selection.dictSize;
if (!best) {
return;
}
{
size_t liveJobs;
ZSTD_pthread_mutex_lock(&best->mutex);
--best->liveJobs;
liveJobs = best->liveJobs;
/* If the new dictionary is better */
if (compressedSize < best->compressedSize) {
/* Allocate space if necessary */
if (!best->dict || best->dictSize < dictSize) {
if (best->dict) {
free(best->dict);
}
best->dict = malloc(dictSize);
if (!best->dict) {
best->compressedSize = ERROR(GENERIC);
best->dictSize = 0;
ZSTD_pthread_cond_signal(&best->cond);
ZSTD_pthread_mutex_unlock(&best->mutex);
return;
}
}
/* Save the dictionary, parameters, and size */
if (dict) {
memcpy(best->dict, dict, dictSize);
best->dictSize = dictSize;
best->parameters = parameters;
best->compressedSize = compressedSize;
}
}
if (liveJobs == 0) {
ZSTD_pthread_cond_broadcast(&best->cond);
}
ZSTD_pthread_mutex_unlock(&best->mutex);
}
}
COVER_dictSelection_t COVER_dictSelectionError(size_t error) {
COVER_dictSelection_t selection = { NULL, 0, error };
return selection;
}
unsigned COVER_dictSelectionIsError(COVER_dictSelection_t selection) {
return (ZSTD_isError(selection.totalCompressedSize) || !selection.dictContent);
}
void COVER_dictSelectionFree(COVER_dictSelection_t selection){
free(selection.dictContent);
}
COVER_dictSelection_t COVER_selectDict(BYTE* customDictContent,
size_t dictContentSize, const BYTE* samplesBuffer, const size_t* samplesSizes, unsigned nbFinalizeSamples,
size_t nbCheckSamples, size_t nbSamples, ZDICT_cover_params_t params, size_t* offsets, size_t totalCompressedSize) {
size_t largestDict = 0;
size_t largestCompressed = 0;
BYTE* customDictContentEnd = customDictContent + dictContentSize;
BYTE * largestDictbuffer = (BYTE *)malloc(dictContentSize);
BYTE * candidateDictBuffer = (BYTE *)malloc(dictContentSize);
double regressionTolerance = ((double)params.shrinkDictMaxRegression / 100.0) + 1.00;
if (!largestDictbuffer || !candidateDictBuffer) {
free(largestDictbuffer);
free(candidateDictBuffer);
return COVER_dictSelectionError(dictContentSize);
}
/* Initial dictionary size and compressed size */
memcpy(largestDictbuffer, customDictContent, dictContentSize);
dictContentSize = ZDICT_finalizeDictionary(
largestDictbuffer, dictContentSize, customDictContent, dictContentSize,
samplesBuffer, samplesSizes, nbFinalizeSamples, params.zParams);
if (ZDICT_isError(dictContentSize)) {
free(largestDictbuffer);
free(candidateDictBuffer);
return COVER_dictSelectionError(dictContentSize);
}
totalCompressedSize = COVER_checkTotalCompressedSize(params, samplesSizes,
samplesBuffer, offsets,
nbCheckSamples, nbSamples,
largestDictbuffer, dictContentSize);
if (ZSTD_isError(totalCompressedSize)) {
free(largestDictbuffer);
free(candidateDictBuffer);
return COVER_dictSelectionError(totalCompressedSize);
}
if (params.shrinkDict == 0) {
COVER_dictSelection_t selection = { largestDictbuffer, dictContentSize, totalCompressedSize };
free(candidateDictBuffer);
return selection;
}
largestDict = dictContentSize;
largestCompressed = totalCompressedSize;
dictContentSize = ZDICT_DICTSIZE_MIN;
/* Largest dict is initially at least ZDICT_DICTSIZE_MIN */
while (dictContentSize < largestDict) {
memcpy(candidateDictBuffer, largestDictbuffer, largestDict);
dictContentSize = ZDICT_finalizeDictionary(
candidateDictBuffer, dictContentSize, customDictContentEnd - dictContentSize, dictContentSize,
samplesBuffer, samplesSizes, nbFinalizeSamples, params.zParams);
if (ZDICT_isError(dictContentSize)) {
free(largestDictbuffer);
free(candidateDictBuffer);
return COVER_dictSelectionError(dictContentSize);
}
totalCompressedSize = COVER_checkTotalCompressedSize(params, samplesSizes,
samplesBuffer, offsets,
nbCheckSamples, nbSamples,
candidateDictBuffer, dictContentSize);
if (ZSTD_isError(totalCompressedSize)) {
free(largestDictbuffer);
free(candidateDictBuffer);
return COVER_dictSelectionError(totalCompressedSize);
}
if (totalCompressedSize <= largestCompressed * regressionTolerance) {
COVER_dictSelection_t selection = { candidateDictBuffer, dictContentSize, totalCompressedSize };
free(largestDictbuffer);
return selection;
}
dictContentSize *= 2;
}
dictContentSize = largestDict;
totalCompressedSize = largestCompressed;
{
COVER_dictSelection_t selection = { largestDictbuffer, dictContentSize, totalCompressedSize };
free(candidateDictBuffer);
return selection;
}
}
/**
* Parameters for COVER_tryParameters().
*/
typedef struct COVER_tryParameters_data_s {
const COVER_ctx_t *ctx;
COVER_best_t *best;
size_t dictBufferCapacity;
ZDICT_cover_params_t parameters;
} COVER_tryParameters_data_t;
/**
* Tries a set of parameters and updates the COVER_best_t with the results.
* This function is thread safe if zstd is compiled with multithreaded support.
* It takes its parameters as an *OWNING* opaque pointer to support threading.
*/
static void COVER_tryParameters(void *opaque) {
/* Save parameters as local variables */
COVER_tryParameters_data_t *const data = (COVER_tryParameters_data_t *)opaque;
const COVER_ctx_t *const ctx = data->ctx;
const ZDICT_cover_params_t parameters = data->parameters;
size_t dictBufferCapacity = data->dictBufferCapacity;
size_t totalCompressedSize = ERROR(GENERIC);
/* Allocate space for hash table, dict, and freqs */
COVER_map_t activeDmers;
BYTE *const dict = (BYTE * const)malloc(dictBufferCapacity);
COVER_dictSelection_t selection = COVER_dictSelectionError(ERROR(GENERIC));
U32 *freqs = (U32 *)malloc(ctx->suffixSize * sizeof(U32));
if (!COVER_map_init(&activeDmers, parameters.k - parameters.d + 1)) {
DISPLAYLEVEL(1, "Failed to allocate dmer map: out of memory\n");
goto _cleanup;
}
if (!dict || !freqs) {
DISPLAYLEVEL(1, "Failed to allocate buffers: out of memory\n");
goto _cleanup;
}
/* Copy the frequencies because we need to modify them */
memcpy(freqs, ctx->freqs, ctx->suffixSize * sizeof(U32));
/* Build the dictionary */
{
const size_t tail = COVER_buildDictionary(ctx, freqs, &activeDmers, dict,
dictBufferCapacity, parameters);
selection = COVER_selectDict(dict + tail, dictBufferCapacity - tail,
ctx->samples, ctx->samplesSizes, (unsigned)ctx->nbTrainSamples, ctx->nbTrainSamples, ctx->nbSamples, parameters, ctx->offsets,
totalCompressedSize);
if (COVER_dictSelectionIsError(selection)) {
DISPLAYLEVEL(1, "Failed to select dictionary\n");
goto _cleanup;
}
}
_cleanup:
free(dict);
COVER_best_finish(data->best, parameters, selection);
free(data);
COVER_map_destroy(&activeDmers);
COVER_dictSelectionFree(selection);
if (freqs) {
free(freqs);
}
}
ZDICTLIB_API size_t ZDICT_optimizeTrainFromBuffer_cover(
void *dictBuffer, size_t dictBufferCapacity, const void *samplesBuffer,
const size_t *samplesSizes, unsigned nbSamples,
ZDICT_cover_params_t *parameters) {
/* constants */
const unsigned nbThreads = parameters->nbThreads;
const double splitPoint =
parameters->splitPoint <= 0.0 ? DEFAULT_SPLITPOINT : parameters->splitPoint;
const unsigned kMinD = parameters->d == 0 ? 6 : parameters->d;
const unsigned kMaxD = parameters->d == 0 ? 8 : parameters->d;
const unsigned kMinK = parameters->k == 0 ? 50 : parameters->k;
const unsigned kMaxK = parameters->k == 0 ? 2000 : parameters->k;
const unsigned kSteps = parameters->steps == 0 ? 40 : parameters->steps;
const unsigned kStepSize = MAX((kMaxK - kMinK) / kSteps, 1);
const unsigned kIterations =
(1 + (kMaxD - kMinD) / 2) * (1 + (kMaxK - kMinK) / kStepSize);
const unsigned shrinkDict = 0;
/* Local variables */
const int displayLevel = parameters->zParams.notificationLevel;
unsigned iteration = 1;
unsigned d;
unsigned k;
COVER_best_t best;
POOL_ctx *pool = NULL;
int warned = 0;
/* Checks */
if (splitPoint <= 0 || splitPoint > 1) {
LOCALDISPLAYLEVEL(displayLevel, 1, "Incorrect parameters\n");
return ERROR(parameter_outOfBound);
}
if (kMinK < kMaxD || kMaxK < kMinK) {
LOCALDISPLAYLEVEL(displayLevel, 1, "Incorrect parameters\n");
return ERROR(parameter_outOfBound);
}
if (nbSamples == 0) {
DISPLAYLEVEL(1, "Cover must have at least one input file\n");
return ERROR(srcSize_wrong);
}
if (dictBufferCapacity < ZDICT_DICTSIZE_MIN) {
DISPLAYLEVEL(1, "dictBufferCapacity must be at least %u\n",
ZDICT_DICTSIZE_MIN);
return ERROR(dstSize_tooSmall);
}
if (nbThreads > 1) {
pool = POOL_create(nbThreads, 1);
if (!pool) {
return ERROR(memory_allocation);
}
}
/* Initialization */
COVER_best_init(&best);
/* Turn down global display level to clean up display at level 2 and below */
g_displayLevel = displayLevel == 0 ? 0 : displayLevel - 1;
/* Loop through d first because each new value needs a new context */
LOCALDISPLAYLEVEL(displayLevel, 2, "Trying %u different sets of parameters\n",
kIterations);
for (d = kMinD; d <= kMaxD; d += 2) {
/* Initialize the context for this value of d */
COVER_ctx_t ctx;
LOCALDISPLAYLEVEL(displayLevel, 3, "d=%u\n", d);
{
const size_t initVal = COVER_ctx_init(&ctx, samplesBuffer, samplesSizes, nbSamples, d, splitPoint);
if (ZSTD_isError(initVal)) {
LOCALDISPLAYLEVEL(displayLevel, 1, "Failed to initialize context\n");
COVER_best_destroy(&best);
POOL_free(pool);
return initVal;
}
}
if (!warned) {
COVER_warnOnSmallCorpus(dictBufferCapacity, ctx.suffixSize, displayLevel);
warned = 1;
}
/* Loop through k reusing the same context */
for (k = kMinK; k <= kMaxK; k += kStepSize) {
/* Prepare the arguments */
COVER_tryParameters_data_t *data = (COVER_tryParameters_data_t *)malloc(
sizeof(COVER_tryParameters_data_t));
LOCALDISPLAYLEVEL(displayLevel, 3, "k=%u\n", k);
if (!data) {
LOCALDISPLAYLEVEL(displayLevel, 1, "Failed to allocate parameters\n");
COVER_best_destroy(&best);
COVER_ctx_destroy(&ctx);
POOL_free(pool);
return ERROR(memory_allocation);
}
data->ctx = &ctx;
data->best = &best;
data->dictBufferCapacity = dictBufferCapacity;
data->parameters = *parameters;
data->parameters.k = k;
data->parameters.d = d;
data->parameters.splitPoint = splitPoint;
data->parameters.steps = kSteps;
data->parameters.shrinkDict = shrinkDict;
data->parameters.zParams.notificationLevel = g_displayLevel;
/* Check the parameters */
if (!COVER_checkParameters(data->parameters, dictBufferCapacity)) {
DISPLAYLEVEL(1, "Cover parameters incorrect\n");
free(data);
continue;
}
/* Call the function and pass ownership of data to it */
COVER_best_start(&best);
if (pool) {
POOL_add(pool, &COVER_tryParameters, data);
} else {
COVER_tryParameters(data);
}
/* Print status */
LOCALDISPLAYUPDATE(displayLevel, 2, "\r%u%% ",
(unsigned)((iteration * 100) / kIterations));
++iteration;
}
COVER_best_wait(&best);
COVER_ctx_destroy(&ctx);
}
LOCALDISPLAYLEVEL(displayLevel, 2, "\r%79s\r", "");
/* Fill the output buffer and parameters with output of the best parameters */
{
const size_t dictSize = best.dictSize;
if (ZSTD_isError(best.compressedSize)) {
const size_t compressedSize = best.compressedSize;
COVER_best_destroy(&best);
POOL_free(pool);
return compressedSize;
}
*parameters = best.parameters;
memcpy(dictBuffer, best.dict, dictSize);
COVER_best_destroy(&best);
POOL_free(pool);
return dictSize;
}
}