| Crates.io | ibmfloat |
| lib.rs | ibmfloat |
| version | 0.1.1 |
| created_at | 2020-01-19 03:09:33.570231+00 |
| updated_at | 2020-01-19 19:49:16.898452+00 |
| description | IBM floating point number types |
| homepage | |
| repository | https://github.com/willglynn/ibmfloat |
| max_upload_size | |
| id | 199941 |
| size | 56,272 |
ibmfloatA Rust library for IBM floating point numbers, specifically focused on converting them to IEEE-754 floating point values.
This crate has no Rust dependencies, no C dependencies, and no unsafe code. Its std feature is enabled by default,
and it can be disabled to support #![no_std] environments.
The conversion processes and much of the test suite are derived from the
Python ibm2ieee library.
Representative results from a laptop:
F32 to f32 time: [6.7092 ns 6.7734 ns 6.8454 ns]
F32 to f64 time: [2.4642 ns 2.4965 ns 2.5326 ns]
F64 to f32 time: [7.2500 ns 7.3315 ns 7.4169 ns]
F64 to f64 time: [2.7761 ns 2.8028 ns 2.8342 ns]
Conversions to f32 are more expensive than conversions to f64.
ibmfloat::F32 represents a 32-bit IBM floating point number. It supports the conversions:
u32 via from_bits(), to_bits()[u8; 4] via from_be_bytes()/to_be_bytes()f32 via From/Intof64 via From/IntoIBM F32 floats have slightly less precision than IEEE-754 f32 floats, but it covers a slightly larger domain. F32s
of typical magnitude can be converted to f32 without rounding or other loss of precision. Converting F32s of large
magnitude to f32 will cause rounding; F32s of extreme magnitude can also cause overflow and underflow to occur.
Every F32 can be precisely represented as an f64, without rounding, overflow, or underflow. Those seeking a lossless
path to IEEE-754 should convert F32 to f64.
// Use the example -118.625:
// https://en.wikipedia.org/wiki/IBM_hexadecimal_floating_point#Example
let foreign_float = ibmfloat::F32::from_bits(0b1_1000010_0111_0110_1010_0000_0000_0000);
let native_float = f32::from(foreign_float);
assert_eq!(native_float, -118.625f32);
let native_float: f32 = foreign_float.into();
assert_eq!(native_float, -118.625f32);
ibmfloat::64 represents a 64-bit IBM floating point number. It supports the conversions:
u64 via from_bits(), to_bits()[u8; 8] via from_be_bytes()/to_be_bytes()f32 via From/Intof64 via From/IntoIBM F64 floats have slightly more precision than IEEE-754 f64 floats, but they cover a slightly smaller domain. Most
conversions will require rounding, but there is no risk of overflow or underflow.
let foreign_float = ibmfloat::F64::from_bits(0x4110000000000000);
let native_float = f64::from(foreign_float);
assert_eq!(native_float, 1.0f64);
let native_float: f64 = foreign_float.into();
assert_eq!(native_float, 1.0f64);
Please use cargo test, cargo clippy, and cargo fmt as you go. Please also cargo test --no-default-features to
prevent accidental breakage for #![no_std] users. GitHub Actions runs each of these commands on push.
ibm2ieee-sys/ contains a crate wrapping ibm2ieee.c, tests which compare ibm2ieee.c's conversion to ibmfloat's
conversions over random values, and benchmarks of both libraries.
$ cd ibm2ieee-sys/
$ cargo test
$ cargo bench
cargo fuzz covers each of the four IBM to IEEE conversion paths, comparing
them to ibm2ieee-sys. Please run them as needed if you tinker with that logic.
$ cargo +nightly fuzz run ibm32ieee32
$ cargo +nightly fuzz run ibm32ieee64
$ cargo +nightly fuzz run ibm64ieee32
$ cargo +nightly fuzz run ibm64ieee64
Additional references: