Implements [Uint<BITS, LIMBS>
], the ring of numbers modulo
# use ruint::Uint;
let answer: Uint<256, 4> = Uint::from(42);
You can compute LIMBS
yourself using LIMBS
equals BITS
divided by Uint
] will panic!
if you try to
construct it with incorrect arguments. Ideally this would be a compile time error, but
that is blocked by Rust issue #60551.
A more convenient method on stable is to use the [uint!
] macro, which constructs the right
[Uint
] for you.
# use ruint::{Uint, uint};
let answer = uint!(42_U256);
You can also use one of the pre-computed type [aliases
]:
# use ruint::Uint;
use ruint::aliases::*;
let answer: U256 = Uint::from(42);
You can of course also create your own type alias if you need a funny size:
# use ruint::Uint;
type U1337 = Uint<1337, 21>;
let answer: U1337 = Uint::from(42);
If you are on nightly, you can use [Uint<BITS>
][nightly::Uint] which will
compute the number of limbs for you. Unfortunately this can not be made stable
without generic_const_exprs
support (Rust issue #76560).
# #[cfg(feature = "generic_const_exprs")] {
use ruint::nightly::Uint;
let answer: Uint<256> = Uint::<256>::from(42);
# }
Even on nightly, the ergonomics of Rust are limited. In the example above Rust
requires explicit type annotation for [Uint::from
], where it did not require
it in the stable version. There are a few more subtle issues that make this
less ideal than it appears. It also looks like it may take some time before
these nightly features are stabilized.
use ruint::Uint;
let a: Uint<256, 4> = Uint::from(0xf00f_u64);
let b: Uint<256, 4> = Uint::from(42_u64);
let c = a + b;
assert_eq!(c, Uint::from(0xf039_u64));
There is a convenient macro [uint!
] to create constants for you. It allows
for arbitrary length constants using standard Rust integer syntax. The size of
the [Uint
] or [Bits
] is specified with a U
or B
suffix followed by the
number of bits. The standard Rust syntax of decimal, hexadecimal and even binary and octal is
supported using their prefixes 0x
, 0b
and 0o
. Literals can have
underscores _
added for readability.
# use ruint::uint;
let cow = uint!(0xc85ef7d79691fe79573b1a7064c19c1a9819ebdbd1faaab1a8ec92344438aaf4_U256);
In fact, this macro recurses down the parse tree, so you can apply it to entire source files:
# use ruint::uint;
uint!{
let a = 42_U256;
let b = 0xf00f_1337_c0d3_U256;
let c = a + b;
assert_eq!(c, 263947537596669_U256);
}
Note that since B
is a valid hexadecimal digit there can be ambiguity. To lessen the impact an underscore separator _B
is required in this case.
Uint will keep a rolling MSRV (minimum supported rust version) policy of at least 6 months. When increasing the MSRV, the new Rust version must have been released at least six months ago. The current MSRV is 1.65.0.
Note that the MSRV is not increased automatically, and only as part of a minor release.
There is support for a number of crates. These are enabled by setting the identically named feature flag.
unstable
Enable sem-ver unstable features.rand
: Implements sampling from theStandard
distribution, i.e.rng.gen()
.arbitrary
: Implements theArbitrary
trait, allowing [Uint
]s to be generated for fuzz testing.quickcheck
: Implements theArbitrary
trait, allowing [Uint
]s to be generated for property based testing.proptest
: Implements theArbitrary
trait, allowing [Uint
]s to be generated for property based testing. Proptest is used for theuint
s own test suite.serde
: Implements theSerialize
andDeserialize
traits for [Uint
] and [Bits
].Serialization uses big-endian hex in human readable formats and big-endian byte strings in machine readable formats. [Uint
] uses ethereumQuantity
format (0x-prefixed minimal string) when serializing in a human readable format.rlp
: Implements theEncodable
andDecodable
traits for [Uint
] to allow serialization to/from RLP.fastrlp
: Implements theEncodable
andDecodable
traits for [Uint
] to allow serialization to/from RLP.primitive-types
: Implements the [From<_>
] conversions between corresponding types.postgres
: Implements theToSql
trait supporting many column types.num-bigint
: Implements conversion to/fromBigUint
andBigInt
.ark-ff
: Implements conversion to/from theBigInteger*
types and theFp*
types fromark-ff@0.3
.ark-ff-04
: Implements conversion to/fromBigInt
andFp
types fromark-ff@0.4
.sqlx
: Implements database agnostic storage as byte array. Requiressqlx
to be used with thetokio-native-tls
runtime, due to issue sqlx#1627.zeroize
: Implements theZeroize
trait. This makes [Uint
] and [Bits
] compatible with thesecrecy
crate.valuable
: Implements theValuable
trait.pyo3
: Implements theToPyObject
,IntoPy
andFromPyObject
traits.parity-scale-codec
: Implements theEncode
,Decode
,MaxEncodedLen
andHasCompact
traits.bn-rs
: Implements conversion to/from theBN
andBigNumber
.bytemuck
: Implements thePod
andZeroable
traits for [Uint
] where the size is a multiple of 64, up to 1024. This allowsUint
to be used where aPod
trait bound exists.num-traits
: Implements about forty applicable traits.subtle
: Implements [Uint::bit_ct
],ConditionallySelectable
,ConditionallyNegatable
,ConstantTimeEq
/ConstantTimeGreater
/ConstantTimeLess
.der
: ImplementsEncode
/Decode
and [TryFrom
]/[From
] casting forAny
,AnyRef
,Int
,IntRef
,Uint
,UintRef
.diesel
: Implements theToSql
andFromSql
traits for storingUint
values as byte arrays in databases supported by Diesel.
Format, lint, build and test everything (I recommend creating a shell alias for this):
cargo fmt &&\
cargo clippy --all-features --all-targets &&\
cargo test --workspace --all-features --doc -- --nocapture &&\
cargo test --workspace --all-features --all-targets -- --nocapture &&\
cargo doc --workspace --all-features --no-deps
Run benchmarks with the provided .cargo/config.toml
alias
cargo criterion
Check documentation coverage
RUSTDOCFLAGS="-Z unstable-options --show-coverage" cargo doc --workspace --all-features --no-deps
- All the quality of life features one could want.
- Compatible with std
u64
, etc types. See Rust's integer methods. - Adhere to Rust API Guidelines
- Montgomery REDC and other algo's for implementing prime fields.
- Builds
no-std
andwasm
. - Fast platform agnostic generic algorithms.
- Target specific assembly optimizations (where available).
- Optional num-traits, etc, support.
- Run-time sized type with compatible interface.