Crates.io | astro-float |
lib.rs | astro-float |
version | 0.9.4 |
source | src |
created_at | 2022-10-10 13:20:21.480186 |
updated_at | 2024-03-21 18:41:36.828951 |
description | Multiple precision floating-point numbers library. |
homepage | |
repository | https://github.com/stencillogic/astro-float |
max_upload_size | |
id | 684640 |
size | 46,731 |
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.
Information about the latest changes is available in Release notes
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));
Benchmark can be found here: https://github.com/stencillogic/bigfloat-bench.
Issues regarding bugs or new features can be opened here: https://github.com/stencillogic/astro-float/issues
For more information please check CONTRIBUTING.md