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Bump zstd to 1.5.1.
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+4
-4
@@ -46,7 +46,7 @@ extern "C" {
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*
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* Zstd can use dictionaries to improve compression ratio of small data.
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* Traditionally small files don't compress well because there is very little
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* repetion in a single sample, since it is small. But, if you are compressing
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* repetition in a single sample, since it is small. But, if you are compressing
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* many similar files, like a bunch of JSON records that share the same
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* structure, you can train a dictionary on ahead of time on some samples of
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* these files. Then, zstd can use the dictionary to find repetitions that are
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@@ -132,7 +132,7 @@ extern "C" {
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*
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* # Benchmark levels 1-3 without a dictionary
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* zstd -b1e3 -r /path/to/my/files
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* # Benchmark levels 1-3 with a dictioanry
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* # Benchmark levels 1-3 with a dictionary
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* zstd -b1e3 -r /path/to/my/files -D /path/to/my/dictionary
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*
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* When should I retrain a dictionary?
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@@ -237,7 +237,6 @@ typedef struct {
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* is presumed that the most profitable content is at the end of the dictionary,
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* since that is the cheapest to reference.
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*
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* `dictContentSize` must be >= ZDICT_CONTENTSIZE_MIN bytes.
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* `maxDictSize` must be >= max(dictContentSize, ZSTD_DICTSIZE_MIN).
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*
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* @return: size of dictionary stored into `dstDictBuffer` (<= `maxDictSize`),
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@@ -272,8 +271,9 @@ ZDICTLIB_API const char* ZDICT_getErrorName(size_t errorCode);
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* Use them only in association with static linking.
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* ==================================================================================== */
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#define ZDICT_CONTENTSIZE_MIN 128
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#define ZDICT_DICTSIZE_MIN 256
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/* Deprecated: Remove in v1.6.0 */
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#define ZDICT_CONTENTSIZE_MIN 128
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/*! ZDICT_cover_params_t:
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* k and d are the only required parameters.
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