bumped version number to v1.3.4
also added a paragraph on using compression level with training mode as this is a recurrent question (see for example #1004)
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@@ -104,9 +104,9 @@ typedef struct {
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* It's recommended that total size of all samples be about ~x100 times the target size of dictionary.
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*/
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ZDICTLIB_API size_t ZDICT_trainFromBuffer_cover(
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void *dictBuffer, size_t dictBufferCapacity,
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void *dictBuffer, size_t dictBufferCapacity,
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const void *samplesBuffer, const size_t *samplesSizes, unsigned nbSamples,
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ZDICT_cover_params_t parameters);
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ZDICT_cover_params_t parameters);
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/*! ZDICT_optimizeTrainFromBuffer_cover():
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* The same requirements as above hold for all the parameters except `parameters`.
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@@ -125,9 +125,9 @@ ZDICTLIB_API size_t ZDICT_trainFromBuffer_cover(
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* 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.
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*/
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ZDICTLIB_API size_t ZDICT_optimizeTrainFromBuffer_cover(
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void* dictBuffer, size_t dictBufferCapacity,
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void* dictBuffer, size_t dictBufferCapacity,
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const void* samplesBuffer, const size_t* samplesSizes, unsigned nbSamples,
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ZDICT_cover_params_t* parameters);
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ZDICT_cover_params_t* parameters);
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/*! ZDICT_finalizeDictionary():
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* Given a custom content as a basis for dictionary, and a set of samples,
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