commit	ebe7f19ede825f2e62e6935825390a167ab1ef77	[log] [tgz]
author	Jeff Vander Stoep <[email protected]>	Mon Apr 03 14:23:31 2023 +0000
committer	Automerger Merge Worker <[email protected]>	Mon Apr 03 14:23:31 2023 +0000
tree	1777676381e03535f9ddb10e2bcdda7c67d90903
parent	0d9fcd804041ebaba25f9a1526c4add97db18b79 [diff]
parent	5378e7634b00a28d540ff680409737238e3d37ff [diff]

tree: 1777676381e03535f9ddb10e2bcdda7c67d90903

README.md

Ryū

Pure Rust implementation of Ryū, an algorithm to quickly convert floating point numbers to decimal strings.

The PLDI'18 paper Ryū: fast float-to-string conversion by Ulf Adams includes a complete correctness proof of the algorithm. The paper is available under the creative commons CC-BY-SA license.

This Rust implementation is a line-by-line port of Ulf Adams' implementation in C, https://github.com/ulfjack/ryu.

Requirements: this crate supports any compiler version back to rustc 1.36; it uses nothing from the Rust standard library so is usable from no_std crates.

[dependencies]
ryu = "1.0"

Example

fn main() {
    let mut buffer = ryu::Buffer::new();
    let printed = buffer.format(1.234);
    assert_eq!(printed, "1.234");
}

Performance (lower is better)

performance

You can run upstream's benchmarks with:

$ git clone https://github.com/ulfjack/ryu c-ryu
$ cd c-ryu
$ bazel run -c opt //ryu/benchmark:ryu_benchmark

And the same benchmark against our implementation with:

$ git clone https://github.com/dtolnay/ryu rust-ryu
$ cd rust-ryu
$ cargo run --example upstream_benchmark --release

These benchmarks measure the average time to print a 32-bit float and average time to print a 64-bit float, where the inputs are distributed as uniform random bit patterns 32 and 64 bits wide.

The upstream C code, the unsafe direct Rust port, and the safe pretty Rust API all perform the same, taking around 21 nanoseconds to format a 32-bit float and 31 nanoseconds to format a 64-bit float.

There is also a Rust-specific benchmark comparing this implementation to the standard library which you can run with:

$ cargo bench

The benchmark shows Ryū approximately 2-5x faster than the standard library across a range of f32 and f64 inputs. Measurements are in nanoseconds per iteration; smaller is better.

Formatting

This library tends to produce more human-readable output than the standard library's to_string, which never uses scientific notation. Here are two examples:

ryu: 1.23e40, std: 12300000000000000000000000000000000000000
ryu: 1.23e-40, std: 0.000000000000000000000000000000000000000123

Both libraries print short decimals such as 0.0000123 without scientific notation.

Ryū

Example

Performance (lower is better)

Formatting

License