Expand description
Big Integer Types for Rust
- A
BigUintis unsigned and represented as a vector of digits. - A
BigIntis signed and is a combination ofBigUintandSign.
Common numerical operations are overloaded, so we can treat them the same way we treat other numbers.
§Example
use num_bigint::BigUint;
use num_traits::One;
// Calculate large fibonacci numbers.
fn fib(n: usize) -> BigUint {
let mut f0 = BigUint::ZERO;
let mut f1 = BigUint::ONE;
for _ in 0..n {
let f2 = f0 + &f1;
f0 = f1;
f1 = f2;
}
f0
}
// This is a very large number.
println!("fib(1000) = {}", fib(1000));It’s easy to generate large random numbers:
use rand::{SeedableRng, rngs::SmallRng};
use num_bigint::{BigInt, BigRng010};
// This seed is just for demonstration, but in most cases
// you'll probably want a non-deterministic `rng`.
let mut rng = SmallRng::seed_from_u64(42);
let a = rng.random_bigint(1000);
let low = BigInt::from(-10000);
let high = BigInt::from(10000);
let b = rng.random_bigint_range(&low, &high);
// Probably an even larger number.
println!("{}", a * b);See the “Features” section for instructions for enabling random number generation.
§Features
The std crate feature is enabled by default, which enables [std::error::Error]
implementations and some internal use of floating point approximations. This can be disabled by
depending on num-bigint with default-features = false. Either way, the alloc crate is
always required for heap allocation of the BigInt/BigUint digits.
§Random Generation
num-bigint supports the generation of random big integers when either of the rand_0_9 or
rand_0_10 features are enabled. The [BigRng09] and [BigRng010] traits provide extension
methods for any rand_core RNG of their respective version, while the structs [RandomBits],
[UniformBigInt], and [UniformBigUint] fulfill further functionality for random
distributions in rand::distr.
For example, using rand v0.10 in your Cargo.toml may look like this:
rand = "0.10"
num-bigint = { version = "0.5", features = ["rand_0_10"] }Note that you must use the same version of rand as the feature you enable in num-bigint.
It’s also fine for multiple versions to be enabled at once – the random-distribution structs
will be shared with trait implementations for each rand feature that is enabled, while the
BigRng traits are distinct.
You can instead use rand_core_0_9 or rand_core_0_10 for a more restricted subset, with
only the BigRng traits.
§Arbitrary Big Integers
num-bigint supports arbitrary and quickcheck features to implement
[arbitrary::Arbitrary] and [quickcheck::Arbitrary], respectively, for both BigInt and
BigUint. These are useful for fuzzing and other forms of randomized testing.
§Serialization
The serde feature adds implementations of [Serialize][serde::Serialize] and
[Deserialize][serde::Deserialize] for both BigInt and BigUint. Their serialized data is
generated portably, regardless of platform differences like the internal digit size.
§Compatibility
The num-bigint crate is tested for rustc 1.60 and greater.
Structs§
- BigInt
- A big signed integer type.
- BigUint
- A big unsigned integer type.
- Parse
BigInt Error - TryFrom
BigInt Error - The error type returned when a checked conversion regarding big integer fails.
- U32Digits
- An iterator of
u32digits representation of aBigUintorBigInt, ordered least significant digit first. - U64Digits
- An iterator of
u64digits representation of aBigUintorBigInt, ordered least significant digit first.