# ECMAScript Number.toString Ryū Fork of the [ryu crate](https://crates.io/crates/ryu), with the safe API changed to implement the formatting rules specified in [ECMAScript 2015 ToString Applied to the Number Type](https://www.ecma-international.org/ecma-262/6.0/#sec-tostring-applied-to-the-number-type). It applies NOTE 2 to the algorithm and uses round-to-even to determine whether `s * (10 ^ (n - k))` is `m`. Original README (minus badges) below. --- 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*][paper] 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][upstream]. The `ryu::raw` module exposes exactly the API and formatting of the C implementation as unsafe pure Rust functions. There is additionally a safe API as demonstrated in the example code below. The safe API uses the same underlying Ryū algorithm but diverges from the formatting of the C implementation to produce more human-readable output, for example `0.3` rather than `3E-1`. *Requirements: this crate supports any compiler version back to rustc 1.15; it uses nothing from the Rust standard library so is usable from no_std crates.* [paper]: https://dl.acm.org/citation.cfm?id=3192369 [upstream]: https://github.com/ulfjack/ryu/tree/46f4c5572121a6f1428749fe3e24132c3626c946 ```toml [dependencies] ryu = "0.2" ``` ## Examples ```rust extern crate ryu; fn main() { let mut buffer = ryu::Buffer::new(); let printed = buffer.format(1.234); assert_eq!(printed, "1.234"); } ``` ## Performance You can run upstream's benchmarks with: ```console $ git clone https://github.com/ulfjack/ryu c-ryu $ cd c-ryu $ bazel run -c opt //ryu/benchmark ``` And our benchmarks with: ```console $ git clone https://github.com/ulfjack/ryu rust-ryu $ cd rust-ryu $ cargo run --example 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. ## License Licensed under either of the following at your option. - Apache License, Version 2.0 ([LICENSE-APACHE](LICENSE-APACHE) or http://www.apache.org/licenses/LICENSE-2.0) - Boost Software License 1.0 ([LICENSE-BOOST](LICENSE-BOOST) or https://www.boost.org/LICENSE_1_0.txt)