Add support for random numbers, and prime generation and testing.

This commit is contained in:
2018-11-29 17:03:33 -08:00
parent 62e36d79cb
commit 60d7dd3af5
6 changed files with 276 additions and 1 deletions

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@@ -5,3 +5,4 @@ authors = ["awick"]
[dependencies] [dependencies]
quickcheck = "^0.7.2" quickcheck = "^0.7.2"
rand = "^0.6.0"

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@@ -1,6 +1,7 @@
#[cfg(test)] #[cfg(test)]
#[macro_use] #[macro_use]
extern crate quickcheck; extern crate quickcheck;
extern crate rand;
pub mod signed; pub mod signed;
pub mod unsigned; pub mod unsigned;

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@@ -4,6 +4,11 @@ pub trait EGCD<T> {
/// If the inputs to this function are x (self) and y (the argument), /// If the inputs to this function are x (self) and y (the argument),
/// and the results are (a, b, g), then (a * x) + (b * y) = g. /// and the results are (a, b, g), then (a * x) + (b * y) = g.
fn egcd(&self, rhs: &Self) -> (T, T, T); fn egcd(&self, rhs: &Self) -> (T, T, T);
/// Compute whether or not the given number and the provided number
/// have a GCD of 1. This is a slightly faster version of calling
/// `egcd` and testing the result, because it can ignore some
/// intermediate values.
fn gcd_is_one(&self, &Self) -> bool;
} }
macro_rules! egcd_impls { macro_rules! egcd_impls {
@@ -86,6 +91,47 @@ macro_rules! egcd_impls {
} }
} }
} }
fn gcd_is_one(&self, b: &$name) -> bool {
let mut u = self.clone();
let mut v = b.clone();
let one = $name::from(1u64);
if u.is_zero() {
return v == one;
}
if v.is_zero() {
return u == one;
}
if u.is_even() && v.is_even() {
return false;
}
while u.is_even() {
u >>= 1;
}
loop {
while v.is_even() {
v >>= 1;
}
// u and v guaranteed to be odd right now.
if u > v {
// make sure that v > u, so that our subtraction works
// out.
let t = u;
u = v;
v = t;
}
v = v - &u;
if v.is_zero() {
return u == one;
}
}
}
} }
}; };
} }
@@ -124,6 +170,7 @@ macro_rules! generate_egcd_tests {
assert_eq!(v, myv, "GCD test"); assert_eq!(v, myv, "GCD test");
assert_eq!(a, mya, "X factor test"); assert_eq!(a, mya, "X factor test");
assert_eq!(b, myb, "Y factor tst"); assert_eq!(b, myb, "Y factor tst");
assert_eq!(x.gcd_is_one(&y), (myv == $sname64::from(1i64)));
}); });
}; };
} }

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@@ -38,6 +38,10 @@ mod modsq;
#[macro_use] #[macro_use]
mod mul; mod mul;
#[macro_use] #[macro_use]
mod primes;
#[macro_use]
mod rand;
#[macro_use]
mod shifts; mod shifts;
#[macro_use] #[macro_use]
mod square; mod square;
@@ -50,16 +54,21 @@ pub use self::div::DivMod;
pub use self::modexp::ModExp; pub use self::modexp::ModExp;
pub use self::modmul::ModMul; pub use self::modmul::ModMul;
pub use self::modsq::ModSquare; pub use self::modsq::ModSquare;
pub use self::primes::PrimeGen;
pub use self::square::Square; pub use self::square::Square;
pub(crate) use self::add::unsafe_addition; pub(crate) use self::add::unsafe_addition;
use rand::{Rng,RngCore};
use rand::distributions::{Distribution,Standard};
use rand::distributions::uniform::*;
use self::add::addition; use self::add::addition;
use self::cmp::compare; use self::cmp::compare;
use self::codec::raw_decoder; use self::codec::raw_decoder;
use self::div::get_number_size; use self::div::get_number_size;
use self::formatter::tochar; use self::formatter::tochar;
use self::mul::multiply; use self::mul::multiply;
use self::primes::SMALL_PRIMES;
use self::shifts::{shiftl,shiftr}; use self::shifts::{shiftl,shiftr};
use self::sub::subtract; use self::sub::subtract;
use std::cmp::{Ordering,min}; use std::cmp::{Ordering,min};

145
src/unsigned/primes.rs Normal file
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@@ -0,0 +1,145 @@
use rand::RngCore;
/// Functions related to the generation of random numbers and primes.
pub trait PrimeGen: Sized + PartialOrd {
/// Generate a random prime number, using the given RNG and running
/// the primality check for the given number of iterations. This is
/// equivalent to calling `random_primef` with the identity function
/// as the modifier.
fn random_prime<R: RngCore>(rng: &mut R, iters: usize) -> Self {
Self::random_primef(rng, iters, |x| Some(x))
}
/// Generate a random prime number, using a modification function
/// and running the primality check for the given number of iterations.
/// The modifier function is run after the routine generates a random
/// number, but before the primality check, and can be used to force
/// the return value to have certain properties: the low bit set, the
/// high bit set, and/or the number is above a certain value.
fn random_primef<F,R>(rng: &mut R, iters: usize, prep: F) -> Self
where F: Fn(Self) -> Option<Self>, R: RngCore;
/// Determine if the given number is probably prime. This should be
/// an implementation of Miller-Rabin, with some quick sanity checks,
/// over the given number of iterations.
fn probably_prime<R: RngCore>(&self, rng: &mut R, iters: usize) -> bool;
}
pub static SMALL_PRIMES: [u64; 310] = [
2, 3, 5, 7, 11, 13, 17, 19, 23, 29,
31, 37, 41, 43, 47, 53, 59, 61, 67, 71,
73, 79, 83, 89, 97, 101, 103, 107, 109, 113,
127, 131, 137, 139, 149, 151, 157, 163, 167, 173,
179, 181, 191, 193, 197, 199, 211, 223, 227, 229,
233, 239, 241, 251, 257, 263, 269, 271, 277, 281,
283, 293, 307, 311, 313, 317, 331, 337, 347, 349,
353, 359, 367, 373, 379, 383, 389, 397, 401, 409,
419, 421, 431, 433, 439, 443, 449, 457, 461, 463,
467, 479, 487, 491, 499, 503, 509, 521, 523, 541,
547, 557, 563, 569, 571, 577, 587, 593, 599, 601,
607, 613, 617, 619, 631, 641, 643, 647, 653, 659,
661, 673, 677, 683, 691, 701, 709, 719, 727, 733,
739, 743, 751, 757, 761, 769, 773, 787, 797, 809,
811, 821, 823, 827, 829, 839, 853, 857, 859, 863,
877, 881, 883, 887, 907, 911, 919, 929, 937, 941,
947, 953, 967, 971, 977, 983, 991, 997, 1009, 1013,
1019, 1021, 1031, 1033, 1039, 1049, 1051, 1061, 1063, 1069,
1087, 1091, 1093, 1097, 1103, 1109, 1117, 1123, 1129, 1151,
1153, 1163, 1171, 1181, 1187, 1193, 1201, 1213, 1217, 1223,
1229, 1231, 1237, 1249, 1259, 1277, 1279, 1283, 1289, 1291,
1297, 1301, 1303, 1307, 1319, 1321, 1327, 1361, 1367, 1373,
1381, 1399, 1409, 1423, 1427, 1429, 1433, 1439, 1447, 1451,
1453, 1459, 1471, 1481, 1483, 1487, 1489, 1493, 1499, 1511,
1523, 1531, 1543, 1549, 1553, 1559, 1567, 1571, 1579, 1583,
1597, 1601, 1607, 1609, 1613, 1619, 1621, 1627, 1637, 1657,
1663, 1667, 1669, 1693, 1697, 1699, 1709, 1721, 1723, 1733,
1741, 1747, 1753, 1759, 1777, 1783, 1787, 1789, 1801, 1811,
1823, 1831, 1847, 1861, 1867, 1871, 1873, 1877, 1879, 1889,
1901, 1907, 1913, 1931, 1933, 1949, 1951, 1973, 1979, 1987,
1993, 1997, 1999, 2003, 2011, 2017, 2027, 2029, 2039, 2053];
macro_rules! prime_gen_impls {
($name: ident) => {
impl PrimeGen for $name {
fn random_primef<F,R>(rng: &mut R, iters: usize, modifier: F) -> Self
where
F: Fn($name) -> Option<$name>,
R: RngCore
{
loop {
let base = rng.gen();
if let Some(candidate) = modifier(base) {
let good = candidate.probably_prime(rng, iters);
if good {
return candidate;
}
}
}
}
fn probably_prime<R: RngCore>(&self, rng: &mut R, iters: usize) -> bool
{
for tester in SMALL_PRIMES.iter() {
if self.is_multiple_of(*tester) {
return false;
}
}
self.miller_rabin(rng, iters)
}
}
impl $name {
fn miller_rabin<R: RngCore>(&self, rng: &mut R, iters: usize) -> bool
{
let one = $name::from(1u64);
let two = $name::from(2u64);
let nm1 = self - $name::from(1u64);
// Quoth Wikipedia:
// write n - 1 as 2^r*d with d odd by factoring powers of 2 from n - 1
let mut d = nm1.clone();
let mut r = 0;
while d.is_even() {
d >>= 1;
r += 1;
assert!(r < $name::bit_length());
}
// WitnessLoop: repeat k times
'WitnessLoop: for _k in 0..iters {
// pick a random integer a in the range [2, n - 2]
let a = rng.gen_range(&two, &nm1);
// x <- a^d mod n
let mut x = a.modexp(&d, self);
// if x = 1 or x = n - 1 then
if (&x == &one) || (&x == &nm1) {
// continue WitnessLoop
continue 'WitnessLoop;
}
// repeat r - 1 times:
for _i in 0..r {
// x <- x^2 mod n
x = x.modexp(&two, self);
// if x = 1 then
if &x == &one {
// return composite
return false;
}
// if x = n - 1 then
if &x == &nm1 {
// continue WitnessLoop
continue 'WitnessLoop;
}
}
// return composite
return false;
}
// return probably prime
true
}
fn is_multiple_of(&self, x: u64) -> bool
{
(self % $name::from(x)).is_zero()
}
}
};
}

72
src/unsigned/rand.rs Normal file
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@@ -0,0 +1,72 @@
macro_rules! random_impls {
($name: ident, $uniform: ident) => {
impl Distribution<$name> for Standard {
fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> $name
{
let mut res = $name::zero();
for x in res.value.iter_mut() {
*x = rng.next_u64();
}
res
}
}
pub struct $uniform {
low: $name,
high: $name,
inclusive: bool
}
impl UniformSampler for $uniform {
type X = $name;
fn new<B1,B2>(low: B1, high: B2) -> Self
where B1: SampleBorrow<Self::X> + Sized,
B2: SampleBorrow<Self::X> + Sized
{
$uniform {
low: low.borrow().clone(),
high: high.borrow().clone(),
inclusive: false
}
}
fn new_inclusive<B1, B2>(low: B1, high: B2) -> Self
where B1: SampleBorrow<Self::X> + Sized,
B2: SampleBorrow<Self::X> + Sized
{
$uniform {
low: low.borrow().clone(),
high: high.borrow().clone(),
inclusive: true
}
}
fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> Self::X {
loop {
let candidate = rng.gen();
if candidate < self.low {
continue;
}
if candidate > self.high {
continue;
}
if !self.inclusive && (candidate == self.high) {
continue;
}
return candidate;
}
}
}
impl SampleUniform for $name {
type Sampler = $uniform;
}
};
}