Trait rug::rand::RandGen[][src]

pub trait RandGen: Send + Sync {
    fn gen(&mut self) -> u32;

    fn gen_bits(&mut self, bits: u32) -> u32 { ... }
fn seed(&mut self, seed: &Integer) { ... }
fn boxed_clone(&self) -> Option<Box<dyn RandGen>> { ... } }
Expand description

Custom random number generator to be used with RandState.

The methods implemented for this trait, as well as possible destructors, can be used by FFI callback functions. If these methods panic, they can cause the program to abort.

Examples

use rug::{
    rand::{RandGen, RandState},
    Integer,
};
struct SimpleGenerator {
    seed: u64,
}
impl RandGen for SimpleGenerator {
    fn gen(&mut self) -> u32 {
        // linear congruential algorithm with m = 64
        const A: u64 = 0x5851_F42D_4C95_7F2D;
        const C: u64 = 1;
        self.seed = self.seed.wrapping_mul(A).wrapping_add(C);
        (self.seed >> 32) as u32
    }
    fn seed(&mut self, seed: &Integer) {
        self.seed = seed.to_u64_wrapping();
    }
}
let mut gen = SimpleGenerator { seed: 1 };
let mut state = RandState::new_custom(&mut gen);
assert_eq!(state.bits(32), 0x5851_F42D);
assert_eq!(state.bits(32), 0xC0B1_8CCF);

Required methods

Gets a random 32-bit unsigned integer.

Examples

use rug::rand::RandGen;
struct SimpleGenerator {
    seed: u64,
}
impl RandGen for SimpleGenerator {
    fn gen(&mut self) -> u32 {
        // linear congruential algorithm with m = 64
        const A: u64 = 0x5851_F42D_4C95_7F2D;
        const C: u64 = 1;
        self.seed = self.seed.wrapping_mul(A).wrapping_add(C);
        (self.seed >> 32) as u32
    }
}
let mut rand = SimpleGenerator { seed: 1 };
assert_eq!(rand.gen(), 0x5851_F42D);
assert_eq!(rand.seed, 0x5851_F42D_4C95_7F2E);
assert_eq!(rand.gen(), 0xC0B1_8CCF);
assert_eq!(rand.seed, 0xC0B1_8CCF_4E25_2D17);

Provided methods

Gets up to 32 random bits.

The default implementation simply calls the gen method once and returns the most significant required bits.

This method can be overridden to store any unused bits for later use. This can be useful for example if the random number generation process is computationally expensive.

Examples

use rug::rand::RandGen;
struct SimpleGenerator {
    seed: u64,
    buffer: u32,
    len: u32,
}
impl RandGen for SimpleGenerator {
    fn gen(&mut self) -> u32 {
        // linear congruential algorithm with m = 64
        const A: u64 = 0x5851_F42D_4C95_7F2D;
        const C: u64 = 1;
        self.seed = self.seed.wrapping_mul(A).wrapping_add(C);
        (self.seed >> 32) as u32
    }
    fn gen_bits(&mut self, bits: u32) -> u32 {
        let mut bits = match bits {
            0 => return 0,
            1..=31 => bits,
            _ => return self.gen(),
        };
        let mut ret = 0;
        if bits > self.len {
            bits -= self.len;
            ret |= self.buffer << bits;
            self.buffer = self.gen();
            self.len = 32;
        }
        self.len -= bits;
        ret |= self.buffer >> self.len;
        self.buffer &= !(!0 << self.len);
        ret
    }
}
let mut rand = SimpleGenerator {
    seed: 1,
    buffer: 0,
    len: 0,
};
let (first_32, second_32) = (0x5851_F42D, 0xC0B1_8CCF);
assert_eq!(rand.gen_bits(24), first_32 >> 8);
assert_eq!(rand.gen_bits(24), ((first_32 & 0xFF) << 16) | (second_32 >> 16));
assert_eq!(rand.gen_bits(16), second_32 & 0xFFFF);

Seeds the random number generator.

The default implementation of this function does nothing.

Note that the RandState::seed method will pass its seed parameter exactly to this function without using it otherwise.

Examples

use rug::{
    rand::{RandGen, RandState},
    Assign, Integer,
};
struct Seed {
    inner: Integer,
}
impl RandGen for Seed {
    fn gen(&mut self) -> u32 {
        self.inner.to_u32_wrapping()
    }
    fn seed(&mut self, seed: &Integer) {
        self.inner.assign(seed);
    }
}
let mut seed = Seed {
    inner: Integer::from(12),
};
let i = Integer::from(12345);
{
    let mut rand = RandState::new_custom(&mut seed);
    rand.seed(&i);
}
assert_eq!(seed.inner, i);

Optionally clones the random number generator.

The default implementation returns None.

Examples

use rug::rand::RandGen;
struct SimpleGenerator {
    seed: u64,
}
impl RandGen for SimpleGenerator {
    fn gen(&mut self) -> u32 {
        // linear congruential algorithm with m = 64
        const A: u64 = 0x5851_F42D_4C95_7F2D;
        const C: u64 = 1;
        self.seed = self.seed.wrapping_mul(A).wrapping_add(C);
        (self.seed >> 32) as u32
    }
    fn boxed_clone(&self) -> Option<Box<dyn RandGen>> {
        let other = SimpleGenerator { seed: self.seed };
        let boxed = Box::new(other);
        Some(boxed)
    }
}
let mut rand = SimpleGenerator { seed: 1 };
assert_eq!(rand.gen(), 0x5851_F42D);
assert_eq!(rand.seed, 0x5851_F42D_4C95_7F2E);
let mut other = rand.boxed_clone().unwrap();
assert_eq!(rand.gen(), 0xC0B1_8CCF);
assert_eq!(rand.seed, 0xC0B1_8CCF_4E25_2D17);
assert_eq!(other.gen(), 0xC0B1_8CCF);

Implementors