GithubHelp home page GithubHelp logo

isabella232 / flate2-rs Goto Github PK

View Code? Open in Web Editor NEW

This project forked from rust-lang/flate2-rs

0.0 0.0 0.0 1.66 MB

DEFLATE, gzip, and zlib bindings for Rust

Home Page: https://docs.rs/flate2

License: Apache License 2.0

Rust 35.46% C 64.54%

flate2-rs's Introduction

flate2

Crates.io Documentation

A streaming compression/decompression library DEFLATE-based streams in Rust.

This crate by default uses the miniz_oxide crate, a port of miniz.c to pure Rust. This crate also supports other backends, such as the widely available zlib library or the high-performance zlib-ng library.

Supported formats:

  • deflate
  • zlib
  • gzip
# Cargo.toml
[dependencies]
flate2 = "1.0"

Compression

use std::io::prelude::*;
use flate2::Compression;
use flate2::write::ZlibEncoder;

fn main() {
    let mut e = ZlibEncoder::new(Vec::new(), Compression::default());
    e.write_all(b"foo");
    e.write_all(b"bar");
    let compressed_bytes = e.finish();
}

Decompression

use std::io::prelude::*;
use flate2::read::GzDecoder;

fn main() {
    let mut d = GzDecoder::new("...".as_bytes());
    let mut s = String::new();
    d.read_to_string(&mut s).unwrap();
    println!("{}", s);
}

Backends

The default miniz_oxide backend has the advantage of being pure Rust, but if you're already using zlib with another C library, for example, you can use that for Rust code as well:

[dependencies]
flate2 = { version = "1.0.17", features = ["zlib"], default-features = false }

This supports either the high-performance zlib-ng backend (in zlib-compat mode) or the use of a shared system zlib library. To explicitly opt into the fast zlib-ng backend, use:

[dependencies]
flate2 = { version = "1.0.17", features = ["zlib-ng-compat"], default-features = false }

Note that if any crate in your dependency graph explicitly requests stock zlib, or uses libz-sys directly without default-features = false, you'll get stock zlib rather than zlib-ng. See the libz-sys README for details.

For compatibility with previous versions of flate2, the cloudflare optimized version of zlib is available, via the cloudflare_zlib feature. It's not as fast as zlib-ng, but it's faster than stock zlib. It requires a x86-64 CPU with SSE 4.2 or ARM64 with NEON & CRC. It does not support 32-bit CPUs at all and is incompatible with mingw. For more information check the crate documentation. Note that cloudflare_zlib will cause breakage if any other crate in your crate graph uses another version of zlib/libz.

For compatibility with previous versions of flate2, the C version of miniz.c is still available, using the feature miniz-sys.

License

This project is licensed under either of

at your option.

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in this project by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.

flate2-rs's People

Contributors

alexcrichton avatar anderender avatar andygauge avatar arthurprs avatar chrisvittal avatar crazysacx avatar dependabot-support avatar dodomorandi avatar eminence avatar erickt avatar est31 avatar fafhrd91 avatar frommi avatar guillaumegomez avatar joshtriplett avatar kper avatar lukazoid avatar mathstuf avatar mdsteele avatar nivkner avatar opilar avatar oyvindln avatar quininer avatar rreverser avatar sbstp avatar sunshowers avatar tshepang avatar twittner avatar vandenoever avatar veldsla avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.