astro-float-num

Crates.ioastro-float-num
lib.rsastro-float-num
version0.3.5
sourcesrc
created_at2023-02-15 17:48:44.850647
updated_at2024-03-21 15:05:34.086209
descriptionMultiple precision floating point numbers implemented purely in Rust.
homepage
repositoryhttps://github.com/stencillogic/astro-float
max_upload_size
id785947
size838,614
(stencillogic)

documentation

README

Rust Minimum rustc version Test coverage

Astro-float (astronomically large floating-point numbers) is an arbitrary precision floating-point numbers library designed for performance, portability, and implemented purely in Rust.

The library implements the basic operations and functions. It uses classical algorithms such as Karatsuba, Toom-Cook, Schönhage-Strassen algorithm, and others.

The library can work without the standard library provided there is a memory allocator.

What's new

Information about the latest changes is available in Release notes

Usage

Below is an example of using the library. For more information please refer to the library documentation: https://docs.rs/astro-float/latest/astro_float/

Calculate Pi with 1024 bit precision rounded to the nearest even number.

use astro_float::Consts;
use astro_float::RoundingMode;
use astro_float::ctx::Context;
use astro_float::expr;

// Create a context with precision 1024, and rounding to even.
let mut ctx = Context::new(1024, RoundingMode::ToEven, 
    Consts::new().expect("Constants cache initialized"),
    -10000, 10000);

// Compute pi: pi = 6*arctan(1/sqrt(3))
let pi = expr!(6 * atan(1 / sqrt(3)), &mut ctx);

// Use library's constant value for verifying the result.
let pi_lib = ctx.const_pi();

// Compare computed constant with library's constant
assert_eq!(pi.cmp(&pi_lib), Some(0));

Performance

Benchmark can be found here: https://github.com/stencillogic/bigfloat-bench.

Contributing

Issues regarding bugs or new features can be opened here: https://github.com/stencillogic/astro-float/issues

For more information please check CONTRIBUTING.md

Commit count: 544

cargo fmt