if (params.nbThreads > 1) {
if (cctx->mtctx == NULL || (params.nbThreads != ZSTDMT_getNbThreads(cctx->mtctx))) {
DEBUGLOG(4, "ZSTD_compress_generic: creating new mtctx for nbThreads=%u (previous: %u)",
- params.nbThreads, ZSTDMT_getNbThreads(cctx->mtctx));
+ params.nbThreads, (U32)ZSTDMT_getNbThreads(cctx->mtctx));
ZSTDMT_freeCCtx(cctx->mtctx);
cctx->mtctx = ZSTDMT_createCCtx_advanced(params.nbThreads, cctx->customMem);
if (cctx->mtctx == NULL) return ERROR(memory_allocation);
/* Checks */
if (totalSamplesSize < MAX(d, sizeof(U64)) ||
totalSamplesSize >= (size_t)COVER_MAX_SAMPLES_SIZE) {
- DISPLAYLEVEL(1, "Total samples size is too large, maximum size is %u MB\n",
- (COVER_MAX_SAMPLES_SIZE >> 20));
+ DISPLAYLEVEL(1, "Total samples size is too large (%u MB), maximum size is %u MB\n",
+ (U32)(totalSamplesSize>>20), (COVER_MAX_SAMPLES_SIZE >> 20));
return 0;
}
/* Zero the context */
}
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;
+ 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;
+
+ /* Initialize global data */
+ g_displayLevel = parameters.zParams.notificationLevel;
/* Checks */
if (!COVER_checkParameters(parameters, dictBufferCapacity)) {
DISPLAYLEVEL(1, "Cover parameters incorrect\n");
ZDICT_DICTSIZE_MIN);
return ERROR(dstSize_tooSmall);
}
- /* Initialize global data */
- g_displayLevel = parameters.zParams.notificationLevel;
/* Initialize context and activeDmers */
if (!COVER_ctx_init(&ctx, samplesBuffer, samplesSizes, nbSamples,
parameters.d)) {
unsigned k;
COVER_best_t best;
POOL_ctx *pool = NULL;
+
/* Checks */
if (kMinK < kMaxD || kMaxK < kMinK) {
LOCALDISPLAYLEVEL(displayLevel, 1, "Incorrect parameters\n");
data->parameters.k = k;
data->parameters.d = d;
data->parameters.steps = kSteps;
- data->parameters.zParams.notificationLevel = g_displayLevel;
+ data->parameters.zParams.notificationLevel = displayLevel;
/* Check the parameters */
if (!COVER_checkParameters(data->parameters, dictBufferCapacity)) {
DISPLAYLEVEL(1, "Cover parameters incorrect\n");
U32 cumulLength[LLIMIT] = {0};
U32 savings[LLIMIT] = {0};
const BYTE* b = (const BYTE*)buffer;
- size_t length;
size_t maxLength = LLIMIT;
size_t pos = suffix[start];
U32 end = start;
||(MEM_read16(b+pos+1) == MEM_read16(b+pos+3))
||(MEM_read16(b+pos+2) == MEM_read16(b+pos+4)) ) {
/* skip and mark segment */
- U16 u16 = MEM_read16(b+pos+4);
- U32 u, e = 6;
- while (MEM_read16(b+pos+e) == u16) e+=2 ;
- if (b[pos+e] == b[pos+e-1]) e++;
- for (u=1; u<e; u++)
+ U16 const pattern16 = MEM_read16(b+pos+4);
+ U32 u, patternEnd = 6;
+ while (MEM_read16(b+pos+patternEnd) == pattern16) patternEnd+=2 ;
+ if (b[pos+patternEnd] == b[pos+patternEnd-1]) patternEnd++;
+ for (u=1; u<patternEnd; u++)
doneMarks[pos+u] = 1;
return solution;
}
/* look forward */
- do {
- end++;
- length = ZDICT_count(b + pos, b + suffix[end]);
- } while (length >=MINMATCHLENGTH);
+ { size_t length;
+ do {
+ end++;
+ length = ZDICT_count(b + pos, b + suffix[end]);
+ } while (length >= MINMATCHLENGTH);
+ }
/* look backward */
- do {
- length = ZDICT_count(b + pos, b + *(suffix+start-1));
- if (length >=MINMATCHLENGTH) start--;
- } while(length >= MINMATCHLENGTH);
+ { size_t length;
+ do {
+ length = ZDICT_count(b + pos, b + *(suffix+start-1));
+ if (length >=MINMATCHLENGTH) start--;
+ } while(length >= MINMATCHLENGTH);
+ }
/* exit if not found a minimum nb of repetitions */
if (end-start < minRatio) {
U32 selectedCount = 0;
U32 selectedID = currentID;
for (id =refinedStart; id < refinedEnd; id++) {
- if (b[ suffix[id] + searchLength] != currentChar) {
+ if (b[suffix[id] + searchLength] != currentChar) {
if (currentCount > selectedCount) {
selectedCount = currentCount;
selectedID = currentID;
memset(lengthList, 0, sizeof(lengthList));
/* look forward */
- do {
- end++;
- length = ZDICT_count(b + pos, b + suffix[end]);
- if (length >= LLIMIT) length = LLIMIT-1;
- lengthList[length]++;
- } while (length >=MINMATCHLENGTH);
+ { size_t length;
+ do {
+ end++;
+ length = ZDICT_count(b + pos, b + suffix[end]);
+ if (length >= LLIMIT) length = LLIMIT-1;
+ lengthList[length]++;
+ } while (length >=MINMATCHLENGTH);
+ }
/* look backward */
- length = MINMATCHLENGTH;
- while ((length >= MINMATCHLENGTH) & (start > 0)) {
- length = ZDICT_count(b + pos, b + suffix[start - 1]);
- if (length >= LLIMIT) length = LLIMIT - 1;
- lengthList[length]++;
- if (length >= MINMATCHLENGTH) start--;
+ { size_t length = MINMATCHLENGTH;
+ while ((length >= MINMATCHLENGTH) & (start > 0)) {
+ length = ZDICT_count(b + pos, b + suffix[start - 1]);
+ if (length >= LLIMIT) length = LLIMIT - 1;
+ lengthList[length]++;
+ if (length >= MINMATCHLENGTH) start--;
+ }
}
/* largest useful length */
/* mark positions done */
{ U32 id;
for (id=start; id<end; id++) {
- U32 p, pEnd;
+ U32 p, pEnd, length;
U32 const testedPos = suffix[id];
if (testedPos == pos)
length = solution.length;
else {
- length = ZDICT_count(b+pos, b+testedPos);
+ length = (U32)ZDICT_count(b+pos, b+testedPos);
if (length > solution.length) length = solution.length;
}
pEnd = (U32)(testedPos + length);
typedef struct
{
- ZSTD_CCtx* ref;
- ZSTD_CCtx* zc;
+ ZSTD_CCtx* ref; /* contains reference to dictionary */
+ ZSTD_CCtx* zc; /* working context */
void* workPlace; /* must be ZSTD_BLOCKSIZE_MAX allocated */
} EStats_ress_t;
#define MAXREPOFFSET 1024
static void ZDICT_countEStats(EStats_ress_t esr, ZSTD_parameters params,
- U32* countLit, U32* offsetcodeCount, U32* matchlengthCount, U32* litlengthCount, U32* repOffsets,
- const void* src, size_t srcSize, U32 notificationLevel)
+ U32* countLit, U32* offsetcodeCount, U32* matchlengthCount, U32* litlengthCount, U32* repOffsets,
+ const void* src, size_t srcSize,
+ U32 notificationLevel)
{
size_t const blockSizeMax = MIN (ZSTD_BLOCKSIZE_MAX, 1 << params.cParams.windowLog);
size_t cSize;
if (srcSize > blockSizeMax) srcSize = blockSizeMax; /* protection vs large samples */
- { size_t const errorCode = ZSTD_copyCCtx(esr.zc, esr.ref, 0);
- if (ZSTD_isError(errorCode)) { DISPLAYLEVEL(1, "warning : ZSTD_copyCCtx failed \n"); return; }
+ { size_t const errorCode = ZSTD_copyCCtx(esr.zc, esr.ref, 0);
+ if (ZSTD_isError(errorCode)) { DISPLAYLEVEL(1, "warning : ZSTD_copyCCtx failed \n"); return; }
}
cSize = ZSTD_compressBlock(esr.zc, esr.workPlace, ZSTD_BLOCKSIZE_MAX, src, srcSize);
if (ZSTD_isError(cSize)) { DISPLAYLEVEL(3, "warning : could not compress sample size %u \n", (U32)srcSize); return; }
if (cSize) { /* if == 0; block is not compressible */
- const seqStore_t* seqStorePtr = ZSTD_getSeqStore(esr.zc);
+ const seqStore_t* const seqStorePtr = ZSTD_getSeqStore(esr.zc);
/* literals stats */
{ const BYTE* bytePtr;
BYTE* dstPtr = (BYTE*)dstBuffer;
/* init */
+ DEBUGLOG(4, "ZDICT_analyzeEntropy");
esr.ref = ZSTD_createCCtx();
esr.zc = ZSTD_createCCtx();
esr.workPlace = malloc(ZSTD_BLOCKSIZE_MAX);
goto _cleanup;
} }
- /* collect stats on all files */
+ /* collect stats on all samples */
for (u=0; u<nbFiles; u++) {
ZDICT_countEStats(esr, params,
countLit, offcodeCount, matchLengthCount, litLengthCount, repOffset,
errorCode = HUF_buildCTable (hufTable, countLit, 255, huffLog);
if (HUF_isError(errorCode)) {
eSize = ERROR(GENERIC);
- DISPLAYLEVEL(1, "HUF_buildCTable error \n");
+ DISPLAYLEVEL(1, " HUF_buildCTable error \n");
goto _cleanup;
}
huffLog = (U32)errorCode;
U32 const notificationLevel = params.notificationLevel;
/* check conditions */
+ DEBUGLOG(4, "ZDICT_finalizeDictionary");
if (dictBufferCapacity < dictContentSize) return ERROR(dstSize_tooSmall);
if (dictContentSize < ZDICT_CONTENTSIZE_MIN) return ERROR(srcSize_wrong);
if (dictBufferCapacity < ZDICT_DICTSIZE_MIN) return ERROR(dstSize_tooSmall);
const void* samplesBuffer, const size_t* samplesSizes, unsigned nbSamples)
{
ZDICT_cover_params_t params;
+ DEBUGLOG(3, "ZDICT_trainFromBuffer");
memset(¶ms, 0, sizeof(params));
params.d = 8;
params.steps = 4;
- /* Default to level 6 since no compression level information is avaialble */
+ /* Default to level 6 since no compression level information is available */
params.zParams.compressionLevel = 6;
+#if defined(ZSTD_DEBUG) && (ZSTD_DEBUG>=1)
+ params.zParams.notificationLevel = ZSTD_DEBUG;
+#endif
return ZDICT_optimizeTrainFromBuffer_cover(dictBuffer, dictBufferCapacity,
- samplesBuffer, samplesSizes,
- nbSamples, ¶ms);
+ samplesBuffer, samplesSizes, nbSamples,
+ ¶ms);
}
size_t ZDICT_addEntropyTablesFromBuffer(void* dictBuffer, size_t dictContentSize, size_t dictBufferCapacity,
- const void* samplesBuffer, const size_t* samplesSizes, unsigned nbSamples)
+ const void* samplesBuffer, const size_t* samplesSizes, unsigned nbSamples)
{
ZDICT_params_t params;
memset(¶ms, 0, sizeof(params));
/*! ZDICT_trainFromBuffer():
- * Train a dictionary from an array of samples.
- * Uses ZDICT_optimizeTrainFromBuffer_cover() single-threaded, with d=8 and steps=4.
- * Samples must be stored concatenated in a single flat buffer `samplesBuffer`,
- * supplied with an array of sizes `samplesSizes`, providing the size of each sample, in order.
- * The resulting dictionary will be saved into `dictBuffer`.
+ * Train a dictionary from an array of samples.
+ * Redirect towards ZDICT_optimizeTrainFromBuffer_cover() single-threaded, with d=8 and steps=4.
+ * Samples must be stored concatenated in a single flat buffer `samplesBuffer`,
+ * supplied with an array of sizes `samplesSizes`, providing the size of each sample, in order.
+ * The resulting dictionary will be saved into `dictBuffer`.
* @return: size of dictionary stored into `dictBuffer` (<= `dictBufferCapacity`)
- * or an error code, which can be tested with ZDICT_isError().
- * Note: ZDICT_trainFromBuffer() requires about 9 bytes of memory for each input byte.
- * Tips: In general, a reasonable dictionary has a size of ~ 100 KB.
- * It's obviously possible to target smaller or larger ones, just by specifying different `dictBufferCapacity`.
- * In general, it's recommended to provide a few thousands samples, but this can vary a lot.
+ * or an error code, which can be tested with ZDICT_isError().
+ * Note: ZDICT_trainFromBuffer() requires about 9 bytes of memory for each input byte.
+ * Tips: In general, a reasonable dictionary has a size of ~ 100 KB.
+ * It's possible to select smaller or larger size, just by specifying `dictBufferCapacity`.
+ * In general, it's recommended to provide a few thousands samples, though this can vary a lot.
* It's recommended that total size of all samples be about ~x100 times the target size of dictionary.
*/
ZDICTLIB_API size_t ZDICT_trainFromBuffer(void* dictBuffer, size_t dictBufferCapacity,
- const void* samplesBuffer, const size_t* samplesSizes, unsigned nbSamples);
+ const void* samplesBuffer, const size_t* samplesSizes, unsigned nbSamples);
/*====== Helper functions ======*/
* ==================================================================================== */
typedef struct {
- int compressionLevel; /* 0 means default; target a specific zstd compression level */
- unsigned notificationLevel; /* Write to stderr; 0 = none (default); 1 = errors; 2 = progression; 3 = details; 4 = debug; */
- unsigned dictID; /* 0 means auto mode (32-bits random value); other : force dictID value */
+ int compressionLevel; /* optimize for a specific zstd compression level; 0 means default */
+ unsigned notificationLevel; /* Write log to stderr; 0 = none (default); 1 = errors; 2 = progression; 3 = details; 4 = debug; */
+ unsigned dictID; /* force dictID value; 0 means auto mode (32-bits random value) */
} ZDICT_params_t;
/*! ZDICT_cover_params_t:
- * For all values 0 means default.
* k and d are the only required parameters.
+ * For others, value 0 means default.
*/
typedef struct {
unsigned k; /* Segment size : constraint: 0 < k : Reasonable range [16, 2048+] */
/*! ZDICT_trainFromBuffer_cover():
- * Train a dictionary from an array of samples using the COVER algorithm.
- * Samples must be stored concatenated in a single flat buffer `samplesBuffer`,
- * supplied with an array of sizes `samplesSizes`, providing the size of each sample, in order.
- * The resulting dictionary will be saved into `dictBuffer`.
+ * Train a dictionary from an array of samples using the COVER algorithm.
+ * Samples must be stored concatenated in a single flat buffer `samplesBuffer`,
+ * supplied with an array of sizes `samplesSizes`, providing the size of each sample, in order.
+ * The resulting dictionary will be saved into `dictBuffer`.
* @return: size of dictionary stored into `dictBuffer` (<= `dictBufferCapacity`)
- * or an error code, which can be tested with ZDICT_isError().
- * Note: ZDICT_trainFromBuffer_cover() requires about 9 bytes of memory for each input byte.
- * Tips: In general, a reasonable dictionary has a size of ~ 100 KB.
- * It's obviously possible to target smaller or larger ones, just by specifying different `dictBufferCapacity`.
- * In general, it's recommended to provide a few thousands samples, but this can vary a lot.
+ * or an error code, which can be tested with ZDICT_isError().
+ * Note: ZDICT_trainFromBuffer_cover() requires about 9 bytes of memory for each input byte.
+ * Tips: In general, a reasonable dictionary has a size of ~ 100 KB.
+ * It's possible to select smaller or larger size, just by specifying `dictBufferCapacity`.
+ * In general, it's recommended to provide a few thousands samples, though this can vary a lot.
* It's recommended that total size of all samples be about ~x100 times the target size of dictionary.
*/
ZDICTLIB_API size_t ZDICT_trainFromBuffer_cover(
- void *dictBuffer, size_t dictBufferCapacity, const void *samplesBuffer,
- const size_t *samplesSizes, unsigned nbSamples,
+ void *dictBuffer, size_t dictBufferCapacity,
+ const void *samplesBuffer, const size_t *samplesSizes, unsigned nbSamples,
ZDICT_cover_params_t parameters);
/*! ZDICT_optimizeTrainFromBuffer_cover():
* The same requirements as above hold for all the parameters except `parameters`.
* This function tries many parameter combinations and picks the best parameters.
- * `*parameters` is filled with the best parameters found, and the dictionary
- * constructed with those parameters is stored in `dictBuffer`.
+ * `*parameters` is filled with the best parameters found,
+ * dictionary constructed with those parameters is stored in `dictBuffer`.
*
* All of the parameters d, k, steps are optional.
* If d is non-zero then we don't check multiple values of d, otherwise we check d = {6, 8, 10, 12, 14, 16}.
* Note: ZDICT_optimizeTrainFromBuffer_cover() requires about 8 bytes of memory for each input byte and additionally another 5 bytes of memory for each byte of memory for each thread.
*/
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);
+ void* dictBuffer, size_t dictBufferCapacity,
+ const void* samplesBuffer, const size_t* samplesSizes, unsigned nbSamples,
+ ZDICT_cover_params_t* parameters);
/*! ZDICT_finalizeDictionary():
* Given a custom content as a basis for dictionary, and a set of samples,
} ZDICT_legacy_params_t;
/*! ZDICT_trainFromBuffer_legacy():
- * Train a dictionary from an array of samples.
- * Samples must be stored concatenated in a single flat buffer `samplesBuffer`,
- * supplied with an array of sizes `samplesSizes`, providing the size of each sample, in order.
- * The resulting dictionary will be saved into `dictBuffer`.
+ * Train a dictionary from an array of samples.
+ * Samples must be stored concatenated in a single flat buffer `samplesBuffer`,
+ * supplied with an array of sizes `samplesSizes`, providing the size of each sample, in order.
+ * The resulting dictionary will be saved into `dictBuffer`.
* `parameters` is optional and can be provided with values set to 0 to mean "default".
* @return: size of dictionary stored into `dictBuffer` (<= `dictBufferCapacity`)
- * or an error code, which can be tested with ZDICT_isError().
- * Tips: In general, a reasonable dictionary has a size of ~ 100 KB.
- * It's obviously possible to target smaller or larger ones, just by specifying different `dictBufferCapacity`.
- * In general, it's recommended to provide a few thousands samples, but this can vary a lot.
+ * or an error code, which can be tested with ZDICT_isError().
+ * Tips: In general, a reasonable dictionary has a size of ~ 100 KB.
+ * It's possible to select smaller or larger size, just by specifying `dictBufferCapacity`.
+ * In general, it's recommended to provide a few thousands samples, though this can vary a lot.
* It's recommended that total size of all samples be about ~x100 times the target size of dictionary.
- * Note: ZDICT_trainFromBuffer_legacy() will send notifications into stderr if instructed to, using notificationLevel>0.
+ * Note: ZDICT_trainFromBuffer_legacy() will send notifications into stderr if instructed to, using notificationLevel>0.
*/
ZDICTLIB_API size_t ZDICT_trainFromBuffer_legacy(
- void *dictBuffer, size_t dictBufferCapacity, const void *samplesBuffer,
- const size_t *samplesSizes, unsigned nbSamples, ZDICT_legacy_params_t parameters);
+ void *dictBuffer, size_t dictBufferCapacity,
+ const void *samplesBuffer, const size_t *samplesSizes, unsigned nbSamples,
+ ZDICT_legacy_params_t parameters);
/* Deprecation warnings */
/* It is generally possible to disable deprecation warnings from compiler,
goto _output_error;
}
+ DISPLAYLEVEL(4, "test%3i : dictBuilder on cyclic data : ", testNb++);
+ assert(compressedBufferSize >= totalSampleSize);
+ { U32 u; for (u=0; u<totalSampleSize; u++) ((BYTE*)compressedBuffer)[u] = (BYTE)u; }
+ { U32 u; for (u=0; u<nbSamples; u++) samplesSizes[u] = sampleUnitSize; }
+ dictSize = ZDICT_trainFromBuffer(dictBuffer, dictSize,
+ compressedBuffer, samplesSizes, nbSamples);
+ if (ZDICT_isError(dictSize)) goto _output_error;
+ DISPLAYLEVEL(4, "OK, created dictionary of size %u \n", (U32)dictSize);
+
DISPLAYLEVEL(4, "test%3i : dictBuilder : ", testNb++);
{ U32 u; for (u=0; u<nbSamples; u++) samplesSizes[u] = sampleUnitSize; }
dictSize = ZDICT_trainFromBuffer(dictBuffer, dictSize,