Function ZDICT_trainFromBuffer

pub unsafe extern "C" fn ZDICT_trainFromBuffer(
    dictBuffer: *mut c_void,
    dictBufferCapacity: usize,
    samplesBuffer: *const c_void,
    samplesSizes: *const usize,
    nbSamples: c_uint,
) -> usize

ZDICT_trainFromBuffer(): Train a dictionary from an array of samples. Redirect towards ZDICT_optimizeTrainFromBuffer_fastCover() single-threaded, with d=8, steps=4, f=20, and accel=1. 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: Dictionary training will fail if there are not enough samples to construct a dictionary, or if most of the samples are too small (< 8 bytes being the lower limit). If dictionary training fails, you should use zstd without a dictionary, as the dictionary would’ve been ineffective anyways. If you believe your samples would benefit from a dictionary please open an issue with details, and we can look into it. Note: ZDICT_trainFromBuffer()’s memory usage is about 6 MB. 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.