rust/src/libcore/rand.rs
bors 868b7c153c auto merge of #6073 : huonw/rust/core-rust-isaac, r=pcwalton
This replaces the wrapper around the runtime RNG with a pure Rust implementation of the same algorithm. This is much faster (up to 5x), and is hopefully safer.

There is still (a little) room for optimisation: testing by summing 100,000,000 random `u32`s indicates this is about ~~40-50%~~ 10% slower than the pure C implementation (running as standalone executable, not in the runtime).

(Only 6d50d55 is part of this PR, the first two are from #6058, but are required for the rt rng to be correct to compare against in the tests.)
2013-04-29 18:24:37 -07:00

1079 lines
27 KiB
Rust

// Copyright 2012 The Rust Project Developers. See the COPYRIGHT
// file at the top-level directory of this distribution and at
// http://rust-lang.org/COPYRIGHT.
//
// Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or
// http://www.apache.org/licenses/LICENSE-2.0> or the MIT license
// <LICENSE-MIT or http://opensource.org/licenses/MIT>, at your
// option. This file may not be copied, modified, or distributed
// except according to those terms.
/*!
Random number generation.
The key functions are `random()` and `RngUtil::gen()`. These are polymorphic
and so can be used to generate any type that implements `Rand`. Type inference
means that often a simple call to `rand::random()` or `rng.gen()` will
suffice, but sometimes an annotation is required, e.g. `rand::random::<float>()`.
# Examples
~~~
use core::rand::RngUtil;
fn main() {
let rng = rand::rng();
if rng.gen() { // bool
println(fmt!("int: %d, uint: %u", rng.gen(), rng.gen()))
}
}
~~~
~~~
fn main () {
let tuple_ptr = rand::random::<~(f64, char)>();
println(fmt!("%?", tuple_ptr))
}
~~~
*/
use int;
use prelude::*;
use str;
use task;
use u32;
use uint;
use util;
use vec;
use libc::size_t;
/// A type that can be randomly generated using an Rng
pub trait Rand {
fn rand<R: Rng>(rng: &R) -> Self;
}
impl Rand for int {
#[inline]
fn rand<R: Rng>(rng: &R) -> int {
if int::bits == 32 {
rng.next() as int
} else {
rng.gen::<i64>() as int
}
}
}
impl Rand for i8 {
#[inline]
fn rand<R: Rng>(rng: &R) -> i8 {
rng.next() as i8
}
}
impl Rand for i16 {
#[inline]
fn rand<R: Rng>(rng: &R) -> i16 {
rng.next() as i16
}
}
impl Rand for i32 {
#[inline]
fn rand<R: Rng>(rng: &R) -> i32 {
rng.next() as i32
}
}
impl Rand for i64 {
#[inline]
fn rand<R: Rng>(rng: &R) -> i64 {
(rng.next() as i64 << 32) | rng.next() as i64
}
}
impl Rand for uint {
#[inline]
fn rand<R: Rng>(rng: &R) -> uint {
if uint::bits == 32 {
rng.next() as uint
} else {
rng.gen::<u64>() as uint
}
}
}
impl Rand for u8 {
#[inline]
fn rand<R: Rng>(rng: &R) -> u8 {
rng.next() as u8
}
}
impl Rand for u16 {
#[inline]
fn rand<R: Rng>(rng: &R) -> u16 {
rng.next() as u16
}
}
impl Rand for u32 {
#[inline]
fn rand<R: Rng>(rng: &R) -> u32 {
rng.next()
}
}
impl Rand for u64 {
#[inline]
fn rand<R: Rng>(rng: &R) -> u64 {
(rng.next() as u64 << 32) | rng.next() as u64
}
}
impl Rand for float {
#[inline]
fn rand<R: Rng>(rng: &R) -> float {
rng.gen::<f64>() as float
}
}
impl Rand for f32 {
#[inline]
fn rand<R: Rng>(rng: &R) -> f32 {
rng.gen::<f64>() as f32
}
}
static scale : f64 = (u32::max_value as f64) + 1.0f64;
impl Rand for f64 {
#[inline]
fn rand<R: Rng>(rng: &R) -> f64 {
let u1 = rng.next() as f64;
let u2 = rng.next() as f64;
let u3 = rng.next() as f64;
((u1 / scale + u2) / scale + u3) / scale
}
}
impl Rand for char {
#[inline]
fn rand<R: Rng>(rng: &R) -> char {
rng.next() as char
}
}
impl Rand for bool {
#[inline]
fn rand<R: Rng>(rng: &R) -> bool {
rng.next() & 1u32 == 1u32
}
}
macro_rules! tuple_impl {
// use variables to indicate the arity of the tuple
($($tyvar:ident),* ) => {
// the trailing commas are for the 1 tuple
impl<
$( $tyvar : Rand ),*
> Rand for ( $( $tyvar ),* , ) {
#[inline]
fn rand<R: Rng>(_rng: &R) -> ( $( $tyvar ),* , ) {
(
// use the $tyvar's to get the appropriate number of
// repeats (they're not actually needed)
$(
_rng.gen::<$tyvar>()
),*
,
)
}
}
}
}
impl Rand for () {
#[inline]
fn rand<R: Rng>(_: &R) -> () { () }
}
tuple_impl!{A}
tuple_impl!{A, B}
tuple_impl!{A, B, C}
tuple_impl!{A, B, C, D}
tuple_impl!{A, B, C, D, E}
tuple_impl!{A, B, C, D, E, F}
tuple_impl!{A, B, C, D, E, F, G}
tuple_impl!{A, B, C, D, E, F, G, H}
tuple_impl!{A, B, C, D, E, F, G, H, I}
tuple_impl!{A, B, C, D, E, F, G, H, I, J}
impl<T:Rand> Rand for Option<T> {
#[inline]
fn rand<R: Rng>(rng: &R) -> Option<T> {
if rng.gen() {
Some(rng.gen())
} else {
None
}
}
}
impl<T: Rand> Rand for ~T {
#[inline]
fn rand<R: Rng>(rng: &R) -> ~T { ~rng.gen() }
}
impl<T: Rand> Rand for @T {
#[inline]
fn rand<R: Rng>(rng: &R) -> @T { @rng.gen() }
}
#[abi = "cdecl"]
pub mod rustrt {
use libc::size_t;
pub extern {
unsafe fn rand_seed_size() -> size_t;
unsafe fn rand_gen_seed(buf: *mut u8, sz: size_t);
}
}
/// A random number generator
pub trait Rng {
/// Return the next random integer
pub fn next(&self) -> u32;
}
/// A value with a particular weight compared to other values
pub struct Weighted<T> {
weight: uint,
item: T,
}
pub trait RngUtil {
/// Return a random value of a Rand type
fn gen<T:Rand>(&self) -> T;
/**
* Return a int randomly chosen from the range [start, end),
* failing if start >= end
*/
fn gen_int_range(&self, start: int, end: int) -> int;
/**
* Return a uint randomly chosen from the range [start, end),
* failing if start >= end
*/
fn gen_uint_range(&self, start: uint, end: uint) -> uint;
/**
* Return a char randomly chosen from chars, failing if chars is empty
*/
fn gen_char_from(&self, chars: &str) -> char;
/**
* Return a bool with a 1 in n chance of true
*
* *Example*
*
* ~~~
*
* use core::rand::RngUtil;
*
* fn main() {
* rng = rand::rng();
* println(fmt!("%b",rng.gen_weighted_bool(3)));
* }
* ~~~
*/
fn gen_weighted_bool(&self, n: uint) -> bool;
/**
* Return a random string of the specified length composed of A-Z,a-z,0-9
*
* *Example*
*
* ~~~
*
* use core::rand::RngUtil;
*
* fn main() {
* rng = rand::rng();
* println(rng.gen_str(8));
* }
* ~~~
*/
fn gen_str(&self, len: uint) -> ~str;
/**
* Return a random byte string of the specified length
*
* *Example*
*
* ~~~
*
* use core::rand::RngUtil;
*
* fn main() {
* rng = rand::rng();
* println(fmt!("%?",rng.gen_bytes(8)));
* }
* ~~~
*/
fn gen_bytes(&self, len: uint) -> ~[u8];
/**
* Choose an item randomly, failing if values is empty
*
* *Example*
*
* ~~~
*
* use core::rand::RngUtil;
*
* fn main() {
* rng = rand::rng();
* println(fmt!("%d",rng.choose([1,2,4,8,16,32])));
* }
* ~~~
*/
fn choose<T:Copy>(&self, values: &[T]) -> T;
/// Choose Some(item) randomly, returning None if values is empty
fn choose_option<T:Copy>(&self, values: &[T]) -> Option<T>;
/**
* Choose an item respecting the relative weights, failing if the sum of
* the weights is 0
*
* *Example*
*
* ~~~
*
* use core::rand::RngUtil;
*
* fn main() {
* rng = rand::rng();
* let x = [rand::Weighted {weight: 4, item: 'a'},
* rand::Weighted {weight: 2, item: 'b'},
* rand::Weighted {weight: 2, item: 'c'}];
* println(fmt!("%c",rng.choose_weighted(x)));
* }
* ~~~
*/
fn choose_weighted<T:Copy>(&self, v : &[Weighted<T>]) -> T;
/**
* Choose Some(item) respecting the relative weights, returning none if
* the sum of the weights is 0
*
* *Example*
*
* ~~~
*
* use core::rand::RngUtil;
*
* fn main() {
* rng = rand::rng();
* let x = [rand::Weighted {weight: 4, item: 'a'},
* rand::Weighted {weight: 2, item: 'b'},
* rand::Weighted {weight: 2, item: 'c'}];
* println(fmt!("%?",rng.choose_weighted_option(x)));
* }
* ~~~
*/
fn choose_weighted_option<T:Copy>(&self, v: &[Weighted<T>]) -> Option<T>;
/**
* Return a vec containing copies of the items, in order, where
* the weight of the item determines how many copies there are
*
* *Example*
*
* ~~~
*
* use core::rand::RngUtil;
*
* fn main() {
* rng = rand::rng();
* let x = [rand::Weighted {weight: 4, item: 'a'},
* rand::Weighted {weight: 2, item: 'b'},
* rand::Weighted {weight: 2, item: 'c'}];
* println(fmt!("%?",rng.weighted_vec(x)));
* }
* ~~~
*/
fn weighted_vec<T:Copy>(&self, v: &[Weighted<T>]) -> ~[T];
/**
* Shuffle a vec
*
* *Example*
*
* ~~~
*
* use core::rand::RngUtil;
*
* fn main() {
* rng = rand::rng();
* println(fmt!("%?",rng.shuffle([1,2,3])));
* }
* ~~~
*/
fn shuffle<T:Copy>(&self, values: &[T]) -> ~[T];
/**
* Shuffle a mutable vec in place
*
* *Example*
*
* ~~~
*
* use core::rand::RngUtil;
*
* fn main() {
* rng = rand::rng();
* let mut y = [1,2,3];
* rng.shuffle_mut(y);
* println(fmt!("%?",y));
* rng.shuffle_mut(y);
* println(fmt!("%?",y));
* }
* ~~~
*/
fn shuffle_mut<T>(&self, values: &mut [T]);
}
/// Extension methods for random number generators
impl<R: Rng> RngUtil for R {
/// Return a random value for a Rand type
#[inline(always)]
fn gen<T: Rand>(&self) -> T {
Rand::rand(self)
}
/**
* Return an int randomly chosen from the range [start, end),
* failing if start >= end
*/
fn gen_int_range(&self, start: int, end: int) -> int {
assert!(start < end);
start + int::abs(self.gen::<int>() % (end - start))
}
/**
* Return a uint randomly chosen from the range [start, end),
* failing if start >= end
*/
fn gen_uint_range(&self, start: uint, end: uint) -> uint {
assert!(start < end);
start + (self.gen::<uint>() % (end - start))
}
/**
* Return a char randomly chosen from chars, failing if chars is empty
*/
fn gen_char_from(&self, chars: &str) -> char {
assert!(!chars.is_empty());
let mut cs = ~[];
for str::each_char(chars) |c| { cs.push(c) }
self.choose(cs)
}
/// Return a bool with a 1-in-n chance of true
fn gen_weighted_bool(&self, n: uint) -> bool {
if n == 0u {
true
} else {
self.gen_uint_range(1u, n + 1u) == 1u
}
}
/**
* Return a random string of the specified length composed of A-Z,a-z,0-9
*/
fn gen_str(&self, len: uint) -> ~str {
let charset = ~"ABCDEFGHIJKLMNOPQRSTUVWXYZ\
abcdefghijklmnopqrstuvwxyz\
0123456789";
let mut s = ~"";
let mut i = 0u;
while (i < len) {
s = s + str::from_char(self.gen_char_from(charset));
i += 1u;
}
s
}
/// Return a random byte string of the specified length
fn gen_bytes(&self, len: uint) -> ~[u8] {
do vec::from_fn(len) |_i| {
self.gen()
}
}
/// Choose an item randomly, failing if values is empty
fn choose<T:Copy>(&self, values: &[T]) -> T {
self.choose_option(values).get()
}
/// Choose Some(item) randomly, returning None if values is empty
fn choose_option<T:Copy>(&self, values: &[T]) -> Option<T> {
if values.is_empty() {
None
} else {
Some(values[self.gen_uint_range(0u, values.len())])
}
}
/**
* Choose an item respecting the relative weights, failing if the sum of
* the weights is 0
*/
fn choose_weighted<T:Copy>(&self, v : &[Weighted<T>]) -> T {
self.choose_weighted_option(v).get()
}
/**
* Choose Some(item) respecting the relative weights, returning none if
* the sum of the weights is 0
*/
fn choose_weighted_option<T:Copy>(&self, v: &[Weighted<T>]) -> Option<T> {
let mut total = 0u;
for v.each |item| {
total += item.weight;
}
if total == 0u {
return None;
}
let chosen = self.gen_uint_range(0u, total);
let mut so_far = 0u;
for v.each |item| {
so_far += item.weight;
if so_far > chosen {
return Some(item.item);
}
}
util::unreachable();
}
/**
* Return a vec containing copies of the items, in order, where
* the weight of the item determines how many copies there are
*/
fn weighted_vec<T:Copy>(&self, v: &[Weighted<T>]) -> ~[T] {
let mut r = ~[];
for v.each |item| {
for uint::range(0u, item.weight) |_i| {
r.push(item.item);
}
}
r
}
/// Shuffle a vec
fn shuffle<T:Copy>(&self, values: &[T]) -> ~[T] {
let mut m = vec::from_slice(values);
self.shuffle_mut(m);
m
}
/// Shuffle a mutable vec in place
fn shuffle_mut<T>(&self, values: &mut [T]) {
let mut i = values.len();
while i >= 2u {
// invariant: elements with index >= i have been locked in place.
i -= 1u;
// lock element i in place.
vec::swap(values, i, self.gen_uint_range(0u, i + 1u));
}
}
}
/// Create a random number generator with a default algorithm and seed.
pub fn rng() -> IsaacRng {
IsaacRng::new()
}
static RAND_SIZE_LEN: u32 = 8;
static RAND_SIZE: u32 = 1 << RAND_SIZE_LEN;
/// A random number generator that uses the [ISAAC
/// algorithm](http://en.wikipedia.org/wiki/ISAAC_%28cipher%29).
pub struct IsaacRng {
priv mut cnt: u32,
priv mut rsl: [u32, .. RAND_SIZE],
priv mut mem: [u32, .. RAND_SIZE],
priv mut a: u32,
priv mut b: u32,
priv mut c: u32
}
pub impl IsaacRng {
/// Create an ISAAC random number generator with a random seed.
fn new() -> IsaacRng {
IsaacRng::new_seeded(seed())
}
/// Create an ISAAC random number generator with a seed. This can be any
/// length, although the maximum number of bytes used is 1024 and any more
/// will be silently ignored. A generator constructed with a given seed
/// will generate the same sequence of values as all other generators
/// constructed with the same seed.
fn new_seeded(seed: &[u8]) -> IsaacRng {
let mut rng = IsaacRng {
cnt: 0,
rsl: [0, .. RAND_SIZE],
mem: [0, .. RAND_SIZE],
a: 0, b: 0, c: 0
};
let array_size = sys::size_of_val(&rng.rsl);
let copy_length = cmp::min(array_size, seed.len());
// manually create a &mut [u8] slice of randrsl to copy into.
let dest = unsafe { cast::transmute((&mut rng.rsl, array_size)) };
vec::bytes::copy_memory(dest, seed, copy_length);
rng.init(true);
rng
}
/// Create an ISAAC random number generator using the default
/// fixed seed.
fn new_unseeded() -> IsaacRng {
let mut rng = IsaacRng {
cnt: 0,
rsl: [0, .. RAND_SIZE],
mem: [0, .. RAND_SIZE],
a: 0, b: 0, c: 0
};
rng.init(false);
rng
}
/// Initialises `self`. If `use_rsl` is true, then use the current value
/// of `rsl` as a seed, otherwise construct one algorithmically (not
/// randomly).
priv fn init(&self, use_rsl: bool) {
macro_rules! init_mut_many (
($( $var:ident ),* = $val:expr ) => {
let mut $( $var = $val ),*;
}
);
init_mut_many!(a, b, c, d, e, f, g, h = 0x9e3779b9);
macro_rules! mix(
() => {{
a^=b<<11; d+=a; b+=c;
b^=c>>2; e+=b; c+=d;
c^=d<<8; f+=c; d+=e;
d^=e>>16; g+=d; e+=f;
e^=f<<10; h+=e; f+=g;
f^=g>>4; a+=f; g+=h;
g^=h<<8; b+=g; h+=a;
h^=a>>9; c+=h; a+=b;
}}
);
for 4.times { mix!(); }
if use_rsl {
macro_rules! memloop (
($arr:expr) => {{
for u32::range_step(0, RAND_SIZE, 8) |i| {
a+=$arr[i ]; b+=$arr[i+1];
c+=$arr[i+2]; d+=$arr[i+3];
e+=$arr[i+4]; f+=$arr[i+5];
g+=$arr[i+6]; h+=$arr[i+7];
mix!();
self.mem[i ]=a; self.mem[i+1]=b;
self.mem[i+2]=c; self.mem[i+3]=d;
self.mem[i+4]=e; self.mem[i+5]=f;
self.mem[i+6]=g; self.mem[i+7]=h;
}
}}
);
memloop!(self.rsl);
memloop!(self.mem);
} else {
for u32::range_step(0, RAND_SIZE, 8) |i| {
mix!();
self.mem[i ]=a; self.mem[i+1]=b;
self.mem[i+2]=c; self.mem[i+3]=d;
self.mem[i+4]=e; self.mem[i+5]=f;
self.mem[i+6]=g; self.mem[i+7]=h;
}
}
self.isaac();
}
/// Refills the output buffer (`self.rsl`)
#[inline]
priv fn isaac(&self) {
self.c += 1;
// abbreviations
let mut a = self.a, b = self.b + self.c;
let mem = &mut self.mem;
let rsl = &mut self.rsl;
static midpoint: uint = RAND_SIZE as uint / 2;
macro_rules! ind (($x:expr) => { mem[($x >> 2) & (RAND_SIZE - 1)] });
macro_rules! rngstep(
($j:expr, $shift:expr) => {{
let base = base + $j;
let mix = if $shift < 0 {
a >> -$shift as uint
} else {
a << $shift as uint
};
let x = mem[base + mr_offset];
a = (a ^ mix) + mem[base + m2_offset];
let y = ind!(x) + a + b;
mem[base + mr_offset] = y;
b = ind!(y >> RAND_SIZE_LEN) + x;
rsl[base + mr_offset] = b;
}}
);
for [(0, midpoint), (midpoint, 0)].each |&(mr_offset, m2_offset)| {
for uint::range_step(0, midpoint, 4) |base| {
rngstep!(0, 13);
rngstep!(1, -6);
rngstep!(2, 2);
rngstep!(3, -16);
}
}
self.a = a;
self.b = b;
self.cnt = RAND_SIZE;
}
}
impl Rng for IsaacRng {
#[inline(always)]
fn next(&self) -> u32 {
if self.cnt == 0 {
// make some more numbers
self.isaac();
}
self.cnt -= 1;
self.rsl[self.cnt]
}
}
/// An [Xorshift random number
/// generator](http://en.wikipedia.org/wiki/Xorshift). Not suitable for
/// cryptographic purposes.
pub struct XorShiftRng {
priv mut x: u32,
priv mut y: u32,
priv mut z: u32,
priv mut w: u32,
}
impl Rng for XorShiftRng {
#[inline]
pub fn next(&self) -> u32 {
let x = self.x;
let t = x ^ (x << 11);
self.x = self.y;
self.y = self.z;
self.z = self.w;
let w = self.w;
self.w = w ^ (w >> 19) ^ (t ^ (t >> 8));
self.w
}
}
pub impl XorShiftRng {
/// Create an xor shift random number generator with a default seed.
fn new() -> XorShiftRng {
// constants taken from http://en.wikipedia.org/wiki/Xorshift
XorShiftRng::new_seeded(123456789u32, 362436069u32, 521288629u32, 88675123u32)
}
/**
* Create a random number generator using the specified seed. A generator
* constructed with a given seed will generate the same sequence of values as
* all other generators constructed with the same seed.
*/
fn new_seeded(x: u32, y: u32, z: u32, w: u32) -> XorShiftRng {
XorShiftRng { x: x, y: y, z: z, w: w }
}
}
/// Create a new random seed.
pub fn seed() -> ~[u8] {
unsafe {
let n = rustrt::rand_seed_size() as uint;
let mut s = vec::from_elem(n, 0_u8);
do vec::as_mut_buf(s) |p, sz| {
rustrt::rand_gen_seed(p, sz as size_t)
}
s
}
}
// used to make space in TLS for a random number generator
fn tls_rng_state(_v: @IsaacRng) {}
/**
* Gives back a lazily initialized task-local random number generator,
* seeded by the system. Intended to be used in method chaining style, ie
* `task_rng().gen::<int>()`.
*/
#[inline]
pub fn task_rng() -> @IsaacRng {
let r : Option<@IsaacRng>;
unsafe {
r = task::local_data::local_data_get(tls_rng_state);
}
match r {
None => {
unsafe {
let rng = @IsaacRng::new_seeded(seed());
task::local_data::local_data_set(tls_rng_state, rng);
rng
}
}
Some(rng) => rng
}
}
// Allow direct chaining with `task_rng`
impl<R: Rng> Rng for @R {
#[inline(always)]
fn next(&self) -> u32 { (**self).next() }
}
/**
* Returns a random value of a Rand type, using the task's random number
* generator.
*/
#[inline]
pub fn random<T: Rand>() -> T {
(*task_rng()).gen()
}
#[cfg(test)]
mod tests {
use option::{Option, Some};
use super::*;
#[test]
fn test_rng_seeded() {
let seed = seed();
let ra = IsaacRng::new_seeded(seed);
let rb = IsaacRng::new_seeded(seed);
assert!(ra.gen_str(100u) == rb.gen_str(100u));
}
#[test]
fn test_rng_seeded_custom_seed() {
// much shorter than generated seeds which are 1024 bytes
let seed = [2u8, 32u8, 4u8, 32u8, 51u8];
let ra = IsaacRng::new_seeded(seed);
let rb = IsaacRng::new_seeded(seed);
assert!(ra.gen_str(100u) == rb.gen_str(100u));
}
#[test]
fn test_rng_seeded_custom_seed2() {
let seed = [2u8, 32u8, 4u8, 32u8, 51u8];
let ra = IsaacRng::new_seeded(seed);
// Regression test that isaac is actually using the above vector
let r = ra.next();
error!("%?", r);
assert!(r == 890007737u32 // on x86_64
|| r == 2935188040u32); // on x86
}
#[test]
fn test_gen_int_range() {
let r = rng();
let a = r.gen_int_range(-3, 42);
assert!(a >= -3 && a < 42);
assert!(r.gen_int_range(0, 1) == 0);
assert!(r.gen_int_range(-12, -11) == -12);
}
#[test]
#[should_fail]
#[ignore(cfg(windows))]
fn test_gen_int_from_fail() {
rng().gen_int_range(5, -2);
}
#[test]
fn test_gen_uint_range() {
let r = rng();
let a = r.gen_uint_range(3u, 42u);
assert!(a >= 3u && a < 42u);
assert!(r.gen_uint_range(0u, 1u) == 0u);
assert!(r.gen_uint_range(12u, 13u) == 12u);
}
#[test]
#[should_fail]
#[ignore(cfg(windows))]
fn test_gen_uint_range_fail() {
rng().gen_uint_range(5u, 2u);
}
#[test]
fn test_gen_float() {
let r = rng();
let a = r.gen::<float>();
let b = r.gen::<float>();
debug!((a, b));
}
#[test]
fn test_gen_weighted_bool() {
let r = rng();
assert!(r.gen_weighted_bool(0u) == true);
assert!(r.gen_weighted_bool(1u) == true);
}
#[test]
fn test_gen_str() {
let r = rng();
debug!(r.gen_str(10u));
debug!(r.gen_str(10u));
debug!(r.gen_str(10u));
assert!(r.gen_str(0u).len() == 0u);
assert!(r.gen_str(10u).len() == 10u);
assert!(r.gen_str(16u).len() == 16u);
}
#[test]
fn test_gen_bytes() {
let r = rng();
assert!(r.gen_bytes(0u).len() == 0u);
assert!(r.gen_bytes(10u).len() == 10u);
assert!(r.gen_bytes(16u).len() == 16u);
}
#[test]
fn test_choose() {
let r = rng();
assert!(r.choose([1, 1, 1]) == 1);
}
#[test]
fn test_choose_option() {
let r = rng();
let x: Option<int> = r.choose_option([]);
assert!(x.is_none());
assert!(r.choose_option([1, 1, 1]) == Some(1));
}
#[test]
fn test_choose_weighted() {
let r = rng();
assert!(r.choose_weighted(~[
Weighted { weight: 1u, item: 42 },
]) == 42);
assert!(r.choose_weighted(~[
Weighted { weight: 0u, item: 42 },
Weighted { weight: 1u, item: 43 },
]) == 43);
}
#[test]
fn test_choose_weighted_option() {
let r = rng();
assert!(r.choose_weighted_option(~[
Weighted { weight: 1u, item: 42 },
]) == Some(42));
assert!(r.choose_weighted_option(~[
Weighted { weight: 0u, item: 42 },
Weighted { weight: 1u, item: 43 },
]) == Some(43));
let v: Option<int> = r.choose_weighted_option([]);
assert!(v.is_none());
}
#[test]
fn test_weighted_vec() {
let r = rng();
let empty: ~[int] = ~[];
assert!(r.weighted_vec(~[]) == empty);
assert!(r.weighted_vec(~[
Weighted { weight: 0u, item: 3u },
Weighted { weight: 1u, item: 2u },
Weighted { weight: 2u, item: 1u },
]) == ~[2u, 1u, 1u]);
}
#[test]
fn test_shuffle() {
let r = rng();
let empty: ~[int] = ~[];
assert!(r.shuffle(~[]) == empty);
assert!(r.shuffle(~[1, 1, 1]) == ~[1, 1, 1]);
}
#[test]
fn test_task_rng() {
let r = task_rng();
r.gen::<int>();
assert!(r.shuffle(~[1, 1, 1]) == ~[1, 1, 1]);
assert!(r.gen_uint_range(0u, 1u) == 0u);
}
#[test]
fn test_random() {
// not sure how to test this aside from just getting some values
let _n : uint = random();
let _f : f32 = random();
let _o : Option<Option<i8>> = random();
let _many : ((),
(~uint, @int, ~Option<~(@char, ~(@bool,))>),
(u8, i8, u16, i16, u32, i32, u64, i64),
(f32, (f64, (float,)))) = random();
}
#[test]
fn compare_isaac_implementation() {
// This is to verify that the implementation of the ISAAC rng is
// correct (i.e. matches the output of the upstream implementation,
// which is in the runtime)
use vec;
use libc::size_t;
#[abi = "cdecl"]
mod rustrt {
use libc::size_t;
#[allow(non_camel_case_types)] // runtime type
pub enum rust_rng {}
pub extern {
unsafe fn rand_new_seeded(buf: *u8, sz: size_t) -> *rust_rng;
unsafe fn rand_next(rng: *rust_rng) -> u32;
unsafe fn rand_free(rng: *rust_rng);
}
}
// run against several seeds
for 10.times {
unsafe {
let seed = super::seed();
let rt_rng = do vec::as_imm_buf(seed) |p, sz| {
rustrt::rand_new_seeded(p, sz as size_t)
};
let rng = IsaacRng::new_seeded(seed);
for 10000.times {
assert_eq!(rng.next(), rustrt::rand_next(rt_rng));
}
rustrt::rand_free(rt_rng);
}
}
}
}
// Local Variables:
// mode: rust;
// fill-column: 78;
// indent-tabs-mode: nil
// c-basic-offset: 4
// buffer-file-coding-system: utf-8-unix
// End: