Function zstd::dict::from_continuous

pub fn from_continuous(
    sample_data: &[u8],
    sample_sizes: &[usize],
    max_size: usize,
) -> Result<Vec<u8>>

Train a dictionary from a big continuous chunk of data, with all samples contiguous in memory.

This is the most efficient way to train a dictionary, since this is directly fed into zstd.

• sample_data is the concatenation of all sample data.
• sample_sizes is the size of each sample in sample_data. The sum of all sample_sizes should equal the length of sample_data.
• max_size is the maximum size of the dictionary to generate.

The result is the dictionary data. You can, for example, feed it to CDict::create.