Sha256: 2dbbbff80db3595177f2a5271636f75edee61a9b7f3a88133f999c3a4b1d457d
Contents?: true
Size: 1.17 KB
Versions: 25
Compression:
Stored size: 1.17 KB
Contents
use clap::{App, Arg};
use std::io;
// This program trains a dictionary from one or more files,
// to make future compression of similar small files more efficient.
//
// The dictionary will need to be present during decompression,
// but if you need to compress many small files individually,
// it may be worth the trouble.
fn main() {
let matches = App::new("train")
.author("Alexandre Bury <alexandre.bury@gmail.com>")
.about("A zstd dict trainer")
.arg(
Arg::new("MAX_SIZE")
.help("Maximum dictionary size in bytes")
.short('s')
.long("max_size")
.takes_value(true),
)
.arg(
Arg::new("FILE")
.help("Files to use as input")
.required(true)
.multiple_occurrences(true),
)
.get_matches();
let size: usize = matches.value_of_t("MAX_SIZE").unwrap_or(110 * 1024);
let files: Vec<_> = matches.values_of("FILE").unwrap().collect();
let dict = zstd::dict::from_files(&files, size).unwrap();
let mut dict_reader: &[u8] = &dict;
io::copy(&mut dict_reader, &mut io::stdout()).unwrap();
}
Version data entries
25 entries across 25 versions & 1 rubygems