| commit | f197e1eb4482e906c9d5c5bc3ba2d83a9a4f0cb2 | [log] [tgz] |
|---|---|---|
| author | Android Build Coastguard Worker <[email protected]> | Sat May 11 01:13:27 2024 +0000 |
| committer | Android Build Coastguard Worker <[email protected]> | Sat May 11 01:13:27 2024 +0000 |
| tree | 1b71352787432b2508694a7b421e9d68ca76b1c2 | |
| parent | 2fd9fff7c4ba3fba0048006d28ef23bc0fd1eb6d [diff] | |
| parent | 1ff7846715ba17aba8d1d60459184e001481980b [diff] |
Snap for 11828632 from 1ff7846715ba17aba8d1d60459184e001481980b to 24Q3-release Change-Id: I8efbcfc41c24ee76f48019d638a9c94af584ea61
Big integer types for Rust, BigInt and BigUint.
Add this to your Cargo.toml:
[dependencies] num-bigint = "0.4"
The std crate feature is enabled by default, and is mandatory before Rust 1.36 and the stabilized alloc crate. If you depend on num-bigint with default-features = false, you must manually enable the std feature yourself if your compiler is not new enough.
num-bigint supports the generation of random big integers when the rand feature is enabled. To enable it include rand as
rand = "0.8" num-bigint = { version = "0.4", features = ["rand"] }
Note that you must use the version of rand that num-bigint is compatible with: 0.8.
Release notes are available in RELEASES.md.
The num-bigint crate is tested for rustc 1.31 and greater.
While num-bigint strives for good performance in pure Rust code, other crates may offer better performance with different trade-offs. The following table offers a brief comparison to a few alternatives.
| Crate | License | Min rustc | Implementation | Features |
|---|---|---|---|---|
num-bigint | MIT/Apache-2.0 | 1.31 | pure rust | dynamic width, number theoretical functions |
awint | MIT/Apache-2.0 | 1.66 | pure rust | fixed width, heap or stack, concatenation macros |
bnum | MIT/Apache-2.0 | 1.61 | pure rust | fixed width, parity with Rust primitives including floats |
crypto-bigint | MIT/Apache-2.0 | 1.57 | pure rust | fixed width, stack only |
ibig | MIT/Apache-2.0 | 1.49 | pure rust | dynamic width, number theoretical functions |
rug | LGPL-3.0+ | 1.65 | bundles GMP via gmp-mpfr-sys | all the features of GMP, MPFR, and MPC |
Licensed under either of
at your option.
Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.