Struct rand::prng::isaac::IsaacRng [−][src]
pub struct IsaacRng(_);
A random number generator that uses the ISAAC algorithm.
ISAAC stands for "Indirection, Shift, Accumulate, Add, and Count" which are the principal bitwise operations employed. It is the most advanced of a series of array based random number generator designed by Robert Jenkins in 199612.
ISAAC is notably fast and produces excellent quality random numbers for non-cryptographic applications.
In spite of being designed with cryptographic security in mind, ISAAC hasn't
been stringently cryptanalyzed and thus cryptographers do not not
consensually trust it to be secure. When looking for a secure RNG, prefer
Hc128Rng instead, which, like ISAAC, is an array-based RNG and one of
the stream-ciphers selected the by eSTREAM contest.
In 2006 an improvement to ISAAC was suggested by Jean-Philippe Aumasson, named ISAAC+3. But because the specification is not complete, because there is no good implementation, and because the suggested bias may not exist, it is not implemented here.
Overview of the ISAAC algorithm:
(in pseudo-code)
Input: a, b, c, s[256] // state
Output: r[256] // results
mix(a,i) = a ^ a << 13 if i = 0 mod 4
a ^ a >> 6 if i = 1 mod 4
a ^ a << 2 if i = 2 mod 4
a ^ a >> 16 if i = 3 mod 4
c = c + 1
b = b + c
for i in 0..256 {
x = s_[i]
a = f(a,i) + s[i+128 mod 256]
y = a + b + s[x>>2 mod 256]
s[i] = y
b = x + s[y>>10 mod 256]
r[i] = b
}
Numbers are generated in blocks of 256. This means the function above only runs once every 256 times you ask for a next random number. In all other circumstances the last element of the results array is returned.
ISAAC therefore needs a lot of memory, relative to other non-crypto RNGs. 2 * 256 * 4 = 2 kb to hold the state and results.
This implementation uses BlockRng to implement the RngCore methods.
References
-
Bob Jenkins, ISAAC: A fast cryptographic random number generator ↩
-
Bob Jenkins, ISAAC and RC4 ↩
-
Jean-Philippe Aumasson, On the pseudo-random generator ISAAC ↩
Methods
impl IsaacRng[src]
impl IsaacRngpub fn new_unseeded() -> Self[src]
pub fn new_unseeded() -> Self: use the FromEntropy or SeedableRng trait
Create an ISAAC random number generator using the default fixed seed.
DEPRECATED. IsaacRng::new_from_u64(0) will produce identical results.
pub fn new_from_u64(seed: u64) -> Self[src]
pub fn new_from_u64(seed: u64) -> SelfCreate an ISAAC random number generator using an u64 as seed.
If seed == 0 this will produce the same stream of random numbers as
the reference implementation when used unseeded.
Trait Implementations
impl Clone for IsaacRng[src]
impl Clone for IsaacRngfn clone(&self) -> IsaacRng[src]
fn clone(&self) -> IsaacRngReturns a copy of the value. Read more
fn clone_from(&mut self, source: &Self)1.0.0[src]
fn clone_from(&mut self, source: &Self)Performs copy-assignment from source. Read more
impl Debug for IsaacRng[src]
impl Debug for IsaacRngfn fmt(&self, f: &mut Formatter) -> Result[src]
fn fmt(&self, f: &mut Formatter) -> ResultFormats the value using the given formatter. Read more
impl RngCore for IsaacRng[src]
impl RngCore for IsaacRngfn next_u32(&mut self) -> u32[src]
fn next_u32(&mut self) -> u32Return the next random u32. Read more
fn next_u64(&mut self) -> u64[src]
fn next_u64(&mut self) -> u64Return the next random u64. Read more
fn fill_bytes(&mut self, dest: &mut [u8])[src]
fn fill_bytes(&mut self, dest: &mut [u8])Fill dest with random data. Read more
fn try_fill_bytes(&mut self, dest: &mut [u8]) -> Result<(), Error>[src]
fn try_fill_bytes(&mut self, dest: &mut [u8]) -> Result<(), Error>Fill dest entirely with random data. Read more
impl SeedableRng for IsaacRng[src]
impl SeedableRng for IsaacRngtype Seed = <IsaacCore as SeedableRng>::Seed
Seed type, which is restricted to types mutably-dereferencable as u8 arrays (we recommend [u8; N] for some N). Read more
fn from_seed(seed: Self::Seed) -> Self[src]
fn from_seed(seed: Self::Seed) -> SelfCreate a new PRNG using the given seed. Read more
fn from_rng<S: RngCore>(rng: S) -> Result<Self, Error>[src]
fn from_rng<S: RngCore>(rng: S) -> Result<Self, Error>Create a new PRNG seeded from another Rng. Read more