mirror of
https://github.com/Sarsoo/csbindgen.git
synced 2024-12-23 15:06:26 +00:00
767 lines
28 KiB
C
767 lines
28 KiB
C
|
/*
|
||
|
* Copyright (c) Meta Platforms, Inc. and affiliates.
|
||
|
* 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.
|
||
|
*/
|
||
|
|
||
|
/*-*************************************
|
||
|
* Dependencies
|
||
|
***************************************/
|
||
|
#include <stdio.h> /* fprintf */
|
||
|
#include <stdlib.h> /* malloc, free, qsort */
|
||
|
#include <string.h> /* memset */
|
||
|
#include <time.h> /* clock */
|
||
|
|
||
|
#ifndef ZDICT_STATIC_LINKING_ONLY
|
||
|
# define ZDICT_STATIC_LINKING_ONLY
|
||
|
#endif
|
||
|
|
||
|
#include "../common/mem.h" /* read */
|
||
|
#include "../common/pool.h"
|
||
|
#include "../common/threading.h"
|
||
|
#include "../common/zstd_internal.h" /* includes zstd.h */
|
||
|
#include "../compress/zstd_compress_internal.h" /* ZSTD_hash*() */
|
||
|
#include "../zdict.h"
|
||
|
#include "cover.h"
|
||
|
|
||
|
|
||
|
/*-*************************************
|
||
|
* Constants
|
||
|
***************************************/
|
||
|
/**
|
||
|
* There are 32bit indexes used to ref samples, so limit samples size to 4GB
|
||
|
* on 64bit builds.
|
||
|
* For 32bit builds we choose 1 GB.
|
||
|
* Most 32bit platforms have 2GB user-mode addressable space and we allocate a large
|
||
|
* contiguous buffer, so 1GB is already a high limit.
|
||
|
*/
|
||
|
#define FASTCOVER_MAX_SAMPLES_SIZE (sizeof(size_t) == 8 ? ((unsigned)-1) : ((unsigned)1 GB))
|
||
|
#define FASTCOVER_MAX_F 31
|
||
|
#define FASTCOVER_MAX_ACCEL 10
|
||
|
#define FASTCOVER_DEFAULT_SPLITPOINT 0.75
|
||
|
#define DEFAULT_F 20
|
||
|
#define DEFAULT_ACCEL 1
|
||
|
|
||
|
|
||
|
/*-*************************************
|
||
|
* Console display
|
||
|
***************************************/
|
||
|
#ifndef LOCALDISPLAYLEVEL
|
||
|
static int g_displayLevel = 0;
|
||
|
#endif
|
||
|
#undef DISPLAY
|
||
|
#define DISPLAY(...) \
|
||
|
{ \
|
||
|
fprintf(stderr, __VA_ARGS__); \
|
||
|
fflush(stderr); \
|
||
|
}
|
||
|
#undef LOCALDISPLAYLEVEL
|
||
|
#define LOCALDISPLAYLEVEL(displayLevel, l, ...) \
|
||
|
if (displayLevel >= l) { \
|
||
|
DISPLAY(__VA_ARGS__); \
|
||
|
} /* 0 : no display; 1: errors; 2: default; 3: details; 4: debug */
|
||
|
#undef DISPLAYLEVEL
|
||
|
#define DISPLAYLEVEL(l, ...) LOCALDISPLAYLEVEL(g_displayLevel, l, __VA_ARGS__)
|
||
|
|
||
|
#ifndef LOCALDISPLAYUPDATE
|
||
|
static const clock_t g_refreshRate = CLOCKS_PER_SEC * 15 / 100;
|
||
|
static clock_t g_time = 0;
|
||
|
#endif
|
||
|
#undef LOCALDISPLAYUPDATE
|
||
|
#define LOCALDISPLAYUPDATE(displayLevel, l, ...) \
|
||
|
if (displayLevel >= l) { \
|
||
|
if ((clock() - g_time > g_refreshRate) || (displayLevel >= 4)) { \
|
||
|
g_time = clock(); \
|
||
|
DISPLAY(__VA_ARGS__); \
|
||
|
} \
|
||
|
}
|
||
|
#undef DISPLAYUPDATE
|
||
|
#define DISPLAYUPDATE(l, ...) LOCALDISPLAYUPDATE(g_displayLevel, l, __VA_ARGS__)
|
||
|
|
||
|
|
||
|
/*-*************************************
|
||
|
* Hash Functions
|
||
|
***************************************/
|
||
|
/**
|
||
|
* Hash the d-byte value pointed to by p and mod 2^f into the frequency vector
|
||
|
*/
|
||
|
static size_t FASTCOVER_hashPtrToIndex(const void* p, U32 f, unsigned d) {
|
||
|
if (d == 6) {
|
||
|
return ZSTD_hash6Ptr(p, f);
|
||
|
}
|
||
|
return ZSTD_hash8Ptr(p, f);
|
||
|
}
|
||
|
|
||
|
|
||
|
/*-*************************************
|
||
|
* Acceleration
|
||
|
***************************************/
|
||
|
typedef struct {
|
||
|
unsigned finalize; /* Percentage of training samples used for ZDICT_finalizeDictionary */
|
||
|
unsigned skip; /* Number of dmer skipped between each dmer counted in computeFrequency */
|
||
|
} FASTCOVER_accel_t;
|
||
|
|
||
|
|
||
|
static const FASTCOVER_accel_t FASTCOVER_defaultAccelParameters[FASTCOVER_MAX_ACCEL+1] = {
|
||
|
{ 100, 0 }, /* accel = 0, should not happen because accel = 0 defaults to accel = 1 */
|
||
|
{ 100, 0 }, /* accel = 1 */
|
||
|
{ 50, 1 }, /* accel = 2 */
|
||
|
{ 34, 2 }, /* accel = 3 */
|
||
|
{ 25, 3 }, /* accel = 4 */
|
||
|
{ 20, 4 }, /* accel = 5 */
|
||
|
{ 17, 5 }, /* accel = 6 */
|
||
|
{ 14, 6 }, /* accel = 7 */
|
||
|
{ 13, 7 }, /* accel = 8 */
|
||
|
{ 11, 8 }, /* accel = 9 */
|
||
|
{ 10, 9 }, /* accel = 10 */
|
||
|
};
|
||
|
|
||
|
|
||
|
/*-*************************************
|
||
|
* Context
|
||
|
***************************************/
|
||
|
typedef struct {
|
||
|
const BYTE *samples;
|
||
|
size_t *offsets;
|
||
|
const size_t *samplesSizes;
|
||
|
size_t nbSamples;
|
||
|
size_t nbTrainSamples;
|
||
|
size_t nbTestSamples;
|
||
|
size_t nbDmers;
|
||
|
U32 *freqs;
|
||
|
unsigned d;
|
||
|
unsigned f;
|
||
|
FASTCOVER_accel_t accelParams;
|
||
|
} FASTCOVER_ctx_t;
|
||
|
|
||
|
|
||
|
/*-*************************************
|
||
|
* Helper functions
|
||
|
***************************************/
|
||
|
/**
|
||
|
* Selects the best segment in an epoch.
|
||
|
* Segments of are scored according to the function:
|
||
|
*
|
||
|
* Let F(d) be the frequency of all dmers with hash value d.
|
||
|
* Let S_i be hash value of 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 with hash value d is in the dictionary we set F(d) = 0.
|
||
|
*/
|
||
|
static COVER_segment_t FASTCOVER_selectSegment(const FASTCOVER_ctx_t *ctx,
|
||
|
U32 *freqs, U32 begin, U32 end,
|
||
|
ZDICT_cover_params_t parameters,
|
||
|
U16* segmentFreqs) {
|
||
|
/* Constants */
|
||
|
const U32 k = parameters.k;
|
||
|
const U32 d = parameters.d;
|
||
|
const U32 f = ctx->f;
|
||
|
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 */
|
||
|
/* 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) {
|
||
|
/* Get hash value of current dmer */
|
||
|
const size_t idx = FASTCOVER_hashPtrToIndex(ctx->samples + activeSegment.end, f, d);
|
||
|
|
||
|
/* Add frequency of this index to score if this is the first occurrence of index in active segment */
|
||
|
if (segmentFreqs[idx] == 0) {
|
||
|
activeSegment.score += freqs[idx];
|
||
|
}
|
||
|
/* Increment end of segment and segmentFreqs*/
|
||
|
activeSegment.end += 1;
|
||
|
segmentFreqs[idx] += 1;
|
||
|
/* If the window is now too large, drop the first position */
|
||
|
if (activeSegment.end - activeSegment.begin == dmersInK + 1) {
|
||
|
/* Get hash value of the dmer to be eliminated from active segment */
|
||
|
const size_t delIndex = FASTCOVER_hashPtrToIndex(ctx->samples + activeSegment.begin, f, d);
|
||
|
segmentFreqs[delIndex] -= 1;
|
||
|
/* Subtract frequency of this index from score if this is the last occurrence of this index in active segment */
|
||
|
if (segmentFreqs[delIndex] == 0) {
|
||
|
activeSegment.score -= freqs[delIndex];
|
||
|
}
|
||
|
/* Increment start of segment */
|
||
|
activeSegment.begin += 1;
|
||
|
}
|
||
|
|
||
|
/* If this segment is the best so far save it */
|
||
|
if (activeSegment.score > bestSegment.score) {
|
||
|
bestSegment = activeSegment;
|
||
|
}
|
||
|
}
|
||
|
|
||
|
/* Zero out rest of segmentFreqs array */
|
||
|
while (activeSegment.begin < end) {
|
||
|
const size_t delIndex = FASTCOVER_hashPtrToIndex(ctx->samples + activeSegment.begin, f, d);
|
||
|
segmentFreqs[delIndex] -= 1;
|
||
|
activeSegment.begin += 1;
|
||
|
}
|
||
|
|
||
|
{
|
||
|
/* Zero the frequency of hash value of each dmer covered by the chosen segment. */
|
||
|
U32 pos;
|
||
|
for (pos = bestSegment.begin; pos != bestSegment.end; ++pos) {
|
||
|
const size_t i = FASTCOVER_hashPtrToIndex(ctx->samples + pos, f, d);
|
||
|
freqs[i] = 0;
|
||
|
}
|
||
|
}
|
||
|
|
||
|
return bestSegment;
|
||
|
}
|
||
|
|
||
|
|
||
|
static int FASTCOVER_checkParameters(ZDICT_cover_params_t parameters,
|
||
|
size_t maxDictSize, unsigned f,
|
||
|
unsigned accel) {
|
||
|
/* k, d, and f are required parameters */
|
||
|
if (parameters.d == 0 || parameters.k == 0) {
|
||
|
return 0;
|
||
|
}
|
||
|
/* d has to be 6 or 8 */
|
||
|
if (parameters.d != 6 && parameters.d != 8) {
|
||
|
return 0;
|
||
|
}
|
||
|
/* k <= maxDictSize */
|
||
|
if (parameters.k > maxDictSize) {
|
||
|
return 0;
|
||
|
}
|
||
|
/* d <= k */
|
||
|
if (parameters.d > parameters.k) {
|
||
|
return 0;
|
||
|
}
|
||
|
/* 0 < f <= FASTCOVER_MAX_F*/
|
||
|
if (f > FASTCOVER_MAX_F || f == 0) {
|
||
|
return 0;
|
||
|
}
|
||
|
/* 0 < splitPoint <= 1 */
|
||
|
if (parameters.splitPoint <= 0 || parameters.splitPoint > 1) {
|
||
|
return 0;
|
||
|
}
|
||
|
/* 0 < accel <= 10 */
|
||
|
if (accel > 10 || accel == 0) {
|
||
|
return 0;
|
||
|
}
|
||
|
return 1;
|
||
|
}
|
||
|
|
||
|
|
||
|
/**
|
||
|
* Clean up a context initialized with `FASTCOVER_ctx_init()`.
|
||
|
*/
|
||
|
static void
|
||
|
FASTCOVER_ctx_destroy(FASTCOVER_ctx_t* ctx)
|
||
|
{
|
||
|
if (!ctx) return;
|
||
|
|
||
|
free(ctx->freqs);
|
||
|
ctx->freqs = NULL;
|
||
|
|
||
|
free(ctx->offsets);
|
||
|
ctx->offsets = NULL;
|
||
|
}
|
||
|
|
||
|
|
||
|
/**
|
||
|
* Calculate for frequency of hash value of each dmer in ctx->samples
|
||
|
*/
|
||
|
static void
|
||
|
FASTCOVER_computeFrequency(U32* freqs, const FASTCOVER_ctx_t* ctx)
|
||
|
{
|
||
|
const unsigned f = ctx->f;
|
||
|
const unsigned d = ctx->d;
|
||
|
const unsigned skip = ctx->accelParams.skip;
|
||
|
const unsigned readLength = MAX(d, 8);
|
||
|
size_t i;
|
||
|
assert(ctx->nbTrainSamples >= 5);
|
||
|
assert(ctx->nbTrainSamples <= ctx->nbSamples);
|
||
|
for (i = 0; i < ctx->nbTrainSamples; i++) {
|
||
|
size_t start = ctx->offsets[i]; /* start of current dmer */
|
||
|
size_t const currSampleEnd = ctx->offsets[i+1];
|
||
|
while (start + readLength <= currSampleEnd) {
|
||
|
const size_t dmerIndex = FASTCOVER_hashPtrToIndex(ctx->samples + start, f, d);
|
||
|
freqs[dmerIndex]++;
|
||
|
start = start + skip + 1;
|
||
|
}
|
||
|
}
|
||
|
}
|
||
|
|
||
|
|
||
|
/**
|
||
|
* Prepare a context for dictionary building.
|
||
|
* The context is only dependent on the parameter `d` and can be used multiple
|
||
|
* times.
|
||
|
* Returns 0 on success or error code on error.
|
||
|
* The context must be destroyed with `FASTCOVER_ctx_destroy()`.
|
||
|
*/
|
||
|
static size_t
|
||
|
FASTCOVER_ctx_init(FASTCOVER_ctx_t* ctx,
|
||
|
const void* samplesBuffer,
|
||
|
const size_t* samplesSizes, unsigned nbSamples,
|
||
|
unsigned d, double splitPoint, unsigned f,
|
||
|
FASTCOVER_accel_t accelParams)
|
||
|
{
|
||
|
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)FASTCOVER_MAX_SAMPLES_SIZE) {
|
||
|
DISPLAYLEVEL(1, "Total samples size is too large (%u MB), maximum size is %u MB\n",
|
||
|
(unsigned)(totalSamplesSize >> 20), (FASTCOVER_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\n", 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.\n", 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;
|
||
|
ctx->nbDmers = trainingSamplesSize - MAX(d, sizeof(U64)) + 1;
|
||
|
ctx->d = d;
|
||
|
ctx->f = f;
|
||
|
ctx->accelParams = accelParams;
|
||
|
|
||
|
/* The offsets of each file */
|
||
|
ctx->offsets = (size_t*)calloc((nbSamples + 1), sizeof(size_t));
|
||
|
if (ctx->offsets == NULL) {
|
||
|
DISPLAYLEVEL(1, "Failed to allocate scratch buffers \n");
|
||
|
FASTCOVER_ctx_destroy(ctx);
|
||
|
return ERROR(memory_allocation);
|
||
|
}
|
||
|
|
||
|
/* Fill offsets from the samplesSizes */
|
||
|
{ U32 i;
|
||
|
ctx->offsets[0] = 0;
|
||
|
assert(nbSamples >= 5);
|
||
|
for (i = 1; i <= nbSamples; ++i) {
|
||
|
ctx->offsets[i] = ctx->offsets[i - 1] + samplesSizes[i - 1];
|
||
|
}
|
||
|
}
|
||
|
|
||
|
/* Initialize frequency array of size 2^f */
|
||
|
ctx->freqs = (U32*)calloc(((U64)1 << f), sizeof(U32));
|
||
|
if (ctx->freqs == NULL) {
|
||
|
DISPLAYLEVEL(1, "Failed to allocate frequency table \n");
|
||
|
FASTCOVER_ctx_destroy(ctx);
|
||
|
return ERROR(memory_allocation);
|
||
|
}
|
||
|
|
||
|
DISPLAYLEVEL(2, "Computing frequencies\n");
|
||
|
FASTCOVER_computeFrequency(ctx->freqs, ctx);
|
||
|
|
||
|
return 0;
|
||
|
}
|
||
|
|
||
|
|
||
|
/**
|
||
|
* Given the prepared context build the dictionary.
|
||
|
*/
|
||
|
static size_t
|
||
|
FASTCOVER_buildDictionary(const FASTCOVER_ctx_t* ctx,
|
||
|
U32* freqs,
|
||
|
void* dictBuffer, size_t dictBufferCapacity,
|
||
|
ZDICT_cover_params_t parameters,
|
||
|
U16* segmentFreqs)
|
||
|
{
|
||
|
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->nbDmers, parameters.k, 1);
|
||
|
const size_t maxZeroScoreRun = 10;
|
||
|
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 = FASTCOVER_selectSegment(
|
||
|
ctx, freqs, epochBegin, epochEnd, parameters, segmentFreqs);
|
||
|
|
||
|
/* 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;
|
||
|
}
|
||
|
|
||
|
/**
|
||
|
* Parameters for FASTCOVER_tryParameters().
|
||
|
*/
|
||
|
typedef struct FASTCOVER_tryParameters_data_s {
|
||
|
const FASTCOVER_ctx_t* ctx;
|
||
|
COVER_best_t* best;
|
||
|
size_t dictBufferCapacity;
|
||
|
ZDICT_cover_params_t parameters;
|
||
|
} FASTCOVER_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 FASTCOVER_tryParameters(void* opaque)
|
||
|
{
|
||
|
/* Save parameters as local variables */
|
||
|
FASTCOVER_tryParameters_data_t *const data = (FASTCOVER_tryParameters_data_t*)opaque;
|
||
|
const FASTCOVER_ctx_t *const ctx = data->ctx;
|
||
|
const ZDICT_cover_params_t parameters = data->parameters;
|
||
|
size_t dictBufferCapacity = data->dictBufferCapacity;
|
||
|
size_t totalCompressedSize = ERROR(GENERIC);
|
||
|
/* Initialize array to keep track of frequency of dmer within activeSegment */
|
||
|
U16* segmentFreqs = (U16*)calloc(((U64)1 << ctx->f), sizeof(U16));
|
||
|
/* Allocate space for hash table, dict, and freqs */
|
||
|
BYTE *const dict = (BYTE*)malloc(dictBufferCapacity);
|
||
|
COVER_dictSelection_t selection = COVER_dictSelectionError(ERROR(GENERIC));
|
||
|
U32* freqs = (U32*) malloc(((U64)1 << ctx->f) * sizeof(U32));
|
||
|
if (!segmentFreqs || !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, ((U64)1 << ctx->f) * sizeof(U32));
|
||
|
/* Build the dictionary */
|
||
|
{ const size_t tail = FASTCOVER_buildDictionary(ctx, freqs, dict, dictBufferCapacity,
|
||
|
parameters, segmentFreqs);
|
||
|
|
||
|
const unsigned nbFinalizeSamples = (unsigned)(ctx->nbTrainSamples * ctx->accelParams.finalize / 100);
|
||
|
selection = COVER_selectDict(dict + tail, dictBufferCapacity, dictBufferCapacity - tail,
|
||
|
ctx->samples, ctx->samplesSizes, nbFinalizeSamples, 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);
|
||
|
free(segmentFreqs);
|
||
|
COVER_dictSelectionFree(selection);
|
||
|
free(freqs);
|
||
|
}
|
||
|
|
||
|
|
||
|
static void
|
||
|
FASTCOVER_convertToCoverParams(ZDICT_fastCover_params_t fastCoverParams,
|
||
|
ZDICT_cover_params_t* coverParams)
|
||
|
{
|
||
|
coverParams->k = fastCoverParams.k;
|
||
|
coverParams->d = fastCoverParams.d;
|
||
|
coverParams->steps = fastCoverParams.steps;
|
||
|
coverParams->nbThreads = fastCoverParams.nbThreads;
|
||
|
coverParams->splitPoint = fastCoverParams.splitPoint;
|
||
|
coverParams->zParams = fastCoverParams.zParams;
|
||
|
coverParams->shrinkDict = fastCoverParams.shrinkDict;
|
||
|
}
|
||
|
|
||
|
|
||
|
static void
|
||
|
FASTCOVER_convertToFastCoverParams(ZDICT_cover_params_t coverParams,
|
||
|
ZDICT_fastCover_params_t* fastCoverParams,
|
||
|
unsigned f, unsigned accel)
|
||
|
{
|
||
|
fastCoverParams->k = coverParams.k;
|
||
|
fastCoverParams->d = coverParams.d;
|
||
|
fastCoverParams->steps = coverParams.steps;
|
||
|
fastCoverParams->nbThreads = coverParams.nbThreads;
|
||
|
fastCoverParams->splitPoint = coverParams.splitPoint;
|
||
|
fastCoverParams->f = f;
|
||
|
fastCoverParams->accel = accel;
|
||
|
fastCoverParams->zParams = coverParams.zParams;
|
||
|
fastCoverParams->shrinkDict = coverParams.shrinkDict;
|
||
|
}
|
||
|
|
||
|
|
||
|
ZDICTLIB_API size_t
|
||
|
ZDICT_trainFromBuffer_fastCover(void* dictBuffer, size_t dictBufferCapacity,
|
||
|
const void* samplesBuffer,
|
||
|
const size_t* samplesSizes, unsigned nbSamples,
|
||
|
ZDICT_fastCover_params_t parameters)
|
||
|
{
|
||
|
BYTE* const dict = (BYTE*)dictBuffer;
|
||
|
FASTCOVER_ctx_t ctx;
|
||
|
ZDICT_cover_params_t coverParams;
|
||
|
FASTCOVER_accel_t accelParams;
|
||
|
/* Initialize global data */
|
||
|
g_displayLevel = (int)parameters.zParams.notificationLevel;
|
||
|
/* Assign splitPoint and f if not provided */
|
||
|
parameters.splitPoint = 1.0;
|
||
|
parameters.f = parameters.f == 0 ? DEFAULT_F : parameters.f;
|
||
|
parameters.accel = parameters.accel == 0 ? DEFAULT_ACCEL : parameters.accel;
|
||
|
/* Convert to cover parameter */
|
||
|
memset(&coverParams, 0 , sizeof(coverParams));
|
||
|
FASTCOVER_convertToCoverParams(parameters, &coverParams);
|
||
|
/* Checks */
|
||
|
if (!FASTCOVER_checkParameters(coverParams, dictBufferCapacity, parameters.f,
|
||
|
parameters.accel)) {
|
||
|
DISPLAYLEVEL(1, "FASTCOVER parameters incorrect\n");
|
||
|
return ERROR(parameter_outOfBound);
|
||
|
}
|
||
|
if (nbSamples == 0) {
|
||
|
DISPLAYLEVEL(1, "FASTCOVER 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);
|
||
|
}
|
||
|
/* Assign corresponding FASTCOVER_accel_t to accelParams*/
|
||
|
accelParams = FASTCOVER_defaultAccelParameters[parameters.accel];
|
||
|
/* Initialize context */
|
||
|
{
|
||
|
size_t const initVal = FASTCOVER_ctx_init(&ctx, samplesBuffer, samplesSizes, nbSamples,
|
||
|
coverParams.d, parameters.splitPoint, parameters.f,
|
||
|
accelParams);
|
||
|
if (ZSTD_isError(initVal)) {
|
||
|
DISPLAYLEVEL(1, "Failed to initialize context\n");
|
||
|
return initVal;
|
||
|
}
|
||
|
}
|
||
|
COVER_warnOnSmallCorpus(dictBufferCapacity, ctx.nbDmers, g_displayLevel);
|
||
|
/* Build the dictionary */
|
||
|
DISPLAYLEVEL(2, "Building dictionary\n");
|
||
|
{
|
||
|
/* Initialize array to keep track of frequency of dmer within activeSegment */
|
||
|
U16* segmentFreqs = (U16 *)calloc(((U64)1 << parameters.f), sizeof(U16));
|
||
|
const size_t tail = FASTCOVER_buildDictionary(&ctx, ctx.freqs, dictBuffer,
|
||
|
dictBufferCapacity, coverParams, segmentFreqs);
|
||
|
const unsigned nbFinalizeSamples = (unsigned)(ctx.nbTrainSamples * ctx.accelParams.finalize / 100);
|
||
|
const size_t dictionarySize = ZDICT_finalizeDictionary(
|
||
|
dict, dictBufferCapacity, dict + tail, dictBufferCapacity - tail,
|
||
|
samplesBuffer, samplesSizes, nbFinalizeSamples, coverParams.zParams);
|
||
|
if (!ZSTD_isError(dictionarySize)) {
|
||
|
DISPLAYLEVEL(2, "Constructed dictionary of size %u\n",
|
||
|
(unsigned)dictionarySize);
|
||
|
}
|
||
|
FASTCOVER_ctx_destroy(&ctx);
|
||
|
free(segmentFreqs);
|
||
|
return dictionarySize;
|
||
|
}
|
||
|
}
|
||
|
|
||
|
|
||
|
ZDICTLIB_API size_t
|
||
|
ZDICT_optimizeTrainFromBuffer_fastCover(
|
||
|
void* dictBuffer, size_t dictBufferCapacity,
|
||
|
const void* samplesBuffer,
|
||
|
const size_t* samplesSizes, unsigned nbSamples,
|
||
|
ZDICT_fastCover_params_t* parameters)
|
||
|
{
|
||
|
ZDICT_cover_params_t coverParams;
|
||
|
FASTCOVER_accel_t accelParams;
|
||
|
/* constants */
|
||
|
const unsigned nbThreads = parameters->nbThreads;
|
||
|
const double splitPoint =
|
||
|
parameters->splitPoint <= 0.0 ? FASTCOVER_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 f = parameters->f == 0 ? DEFAULT_F : parameters->f;
|
||
|
const unsigned accel = parameters->accel == 0 ? DEFAULT_ACCEL : parameters->accel;
|
||
|
const unsigned shrinkDict = 0;
|
||
|
/* Local variables */
|
||
|
const int displayLevel = (int)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 splitPoint\n");
|
||
|
return ERROR(parameter_outOfBound);
|
||
|
}
|
||
|
if (accel == 0 || accel > FASTCOVER_MAX_ACCEL) {
|
||
|
LOCALDISPLAYLEVEL(displayLevel, 1, "Incorrect accel\n");
|
||
|
return ERROR(parameter_outOfBound);
|
||
|
}
|
||
|
if (kMinK < kMaxD || kMaxK < kMinK) {
|
||
|
LOCALDISPLAYLEVEL(displayLevel, 1, "Incorrect k\n");
|
||
|
return ERROR(parameter_outOfBound);
|
||
|
}
|
||
|
if (nbSamples == 0) {
|
||
|
LOCALDISPLAYLEVEL(displayLevel, 1, "FASTCOVER must have at least one input file\n");
|
||
|
return ERROR(srcSize_wrong);
|
||
|
}
|
||
|
if (dictBufferCapacity < ZDICT_DICTSIZE_MIN) {
|
||
|
LOCALDISPLAYLEVEL(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);
|
||
|
memset(&coverParams, 0 , sizeof(coverParams));
|
||
|
FASTCOVER_convertToCoverParams(*parameters, &coverParams);
|
||
|
accelParams = FASTCOVER_defaultAccelParameters[accel];
|
||
|
/* 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 */
|
||
|
FASTCOVER_ctx_t ctx;
|
||
|
LOCALDISPLAYLEVEL(displayLevel, 3, "d=%u\n", d);
|
||
|
{
|
||
|
size_t const initVal = FASTCOVER_ctx_init(&ctx, samplesBuffer, samplesSizes, nbSamples, d, splitPoint, f, accelParams);
|
||
|
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.nbDmers, displayLevel);
|
||
|
warned = 1;
|
||
|
}
|
||
|
/* Loop through k reusing the same context */
|
||
|
for (k = kMinK; k <= kMaxK; k += kStepSize) {
|
||
|
/* Prepare the arguments */
|
||
|
FASTCOVER_tryParameters_data_t *data = (FASTCOVER_tryParameters_data_t *)malloc(
|
||
|
sizeof(FASTCOVER_tryParameters_data_t));
|
||
|
LOCALDISPLAYLEVEL(displayLevel, 3, "k=%u\n", k);
|
||
|
if (!data) {
|
||
|
LOCALDISPLAYLEVEL(displayLevel, 1, "Failed to allocate parameters\n");
|
||
|
COVER_best_destroy(&best);
|
||
|
FASTCOVER_ctx_destroy(&ctx);
|
||
|
POOL_free(pool);
|
||
|
return ERROR(memory_allocation);
|
||
|
}
|
||
|
data->ctx = &ctx;
|
||
|
data->best = &best;
|
||
|
data->dictBufferCapacity = dictBufferCapacity;
|
||
|
data->parameters = coverParams;
|
||
|
data->parameters.k = k;
|
||
|
data->parameters.d = d;
|
||
|
data->parameters.splitPoint = splitPoint;
|
||
|
data->parameters.steps = kSteps;
|
||
|
data->parameters.shrinkDict = shrinkDict;
|
||
|
data->parameters.zParams.notificationLevel = (unsigned)g_displayLevel;
|
||
|
/* Check the parameters */
|
||
|
if (!FASTCOVER_checkParameters(data->parameters, dictBufferCapacity,
|
||
|
data->ctx->f, accel)) {
|
||
|
DISPLAYLEVEL(1, "FASTCOVER 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, &FASTCOVER_tryParameters, data);
|
||
|
} else {
|
||
|
FASTCOVER_tryParameters(data);
|
||
|
}
|
||
|
/* Print status */
|
||
|
LOCALDISPLAYUPDATE(displayLevel, 2, "\r%u%% ",
|
||
|
(unsigned)((iteration * 100) / kIterations));
|
||
|
++iteration;
|
||
|
}
|
||
|
COVER_best_wait(&best);
|
||
|
FASTCOVER_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;
|
||
|
}
|
||
|
FASTCOVER_convertToFastCoverParams(best.parameters, parameters, f, accel);
|
||
|
memcpy(dictBuffer, best.dict, dictSize);
|
||
|
COVER_best_destroy(&best);
|
||
|
POOL_free(pool);
|
||
|
return dictSize;
|
||
|
}
|
||
|
|
||
|
}
|