# 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)