use core::mem::MaybeUninit; use getrandom::{fill, fill_uninit};
#[cfg(all(feature = "wasm_js", target_arch = "wasm32", target_os = "unknown"))] use wasm_bindgen_test::wasm_bindgen_test as test;
#[test] fn test_zero() { // Test that APIs are happy with zero-length requests
fill(&mut [0u8; 0]).unwrap(); let res = fill_uninit(&mut []).unwrap();
assert!(res.is_empty());
}
impl DiffBits for u8 { fn diff_bits((a, b): (&Self, &Self)) -> usize {
(a ^ b).count_ones() as usize
}
}
impl DiffBits for u32 { fn diff_bits((a, b): (&Self, &Self)) -> usize {
(a ^ b).count_ones() as usize
}
}
impl DiffBits for u64 { fn diff_bits((a, b): (&Self, &Self)) -> usize {
(a ^ b).count_ones() as usize
}
}
// Return the number of bits in which s1 and s2 differ fn num_diff_bits<T: DiffBits>(s1: &[T], s2: &[T]) -> usize {
assert_eq!(s1.len(), s2.len());
s1.iter().zip(s2.iter()).map(T::diff_bits).sum()
}
// TODO: use `[const { MaybeUninit::uninit() }; N]` after MSRV is bumped to 1.79+ // or `MaybeUninit::uninit_array` fn uninit_vec(n: usize) -> Vec<MaybeUninit<u8>> {
vec![MaybeUninit::uninit(); n]
}
// Tests the quality of calling getrandom on two large buffers #[test] fn test_diff() { const N: usize = 1000; letmut v1 = [0u8; N]; letmut v2 = [0u8; N];
fill(&mut v1).unwrap();
fill(&mut v2).unwrap();
// Between 3.5 and 4.5 bits per byte should differ. Probability of failure: // ~ 2^(-94) = 2 * CDF[BinomialDistribution[8000, 0.5], 3500] let d1 = num_diff_bits(&v1, &v2);
assert!(d1 > 3500);
assert!(d1 < 4500); let d2 = num_diff_bits(r1, r2);
assert!(d2 > 3500);
assert!(d2 < 4500);
}
#[test] fn test_diff_u32() { const N: usize = 1000 / 4; letmut v1 = [0u32; N]; letmut v2 = [0u32; N]; for v in v1.iter_mut() {
*v = getrandom::u32().unwrap();
} for v in v2.iter_mut() {
*v = getrandom::u32().unwrap();
}
// Between 3.5 and 4.5 bits per byte should differ. Probability of failure: // ~ 2^(-94) = 2 * CDF[BinomialDistribution[8000, 0.5], 3500] let d1 = num_diff_bits(&v1, &v2);
assert!(d1 > 3500);
assert!(d1 < 4500);
}
#[test] fn test_diff_u64() { const N: usize = 1000 / 8; letmut v1 = [0u64; N]; letmut v2 = [0u64; N]; for v in v1.iter_mut() {
*v = getrandom::u64().unwrap();
} for v in v2.iter_mut() {
*v = getrandom::u64().unwrap();
}
// Between 3.5 and 4.5 bits per byte should differ. Probability of failure: // ~ 2^(-94) = 2 * CDF[BinomialDistribution[8000, 0.5], 3500] let d1 = num_diff_bits(&v1, &v2);
assert!(d1 > 3500);
assert!(d1 < 4500);
}
#[test] fn test_small() { const N: usize = 64; // For each buffer size, get at least 256 bytes and check that between // 3 and 5 bits per byte differ. Probability of failure: // ~ 2^(-91) = 64 * 2 * CDF[BinomialDistribution[8*256, 0.5], 3*256] for size in1..=N { letmut num_bytes = 0; letmut diff_bits = 0; while num_bytes < 256 { letmut buf1 = [0u8; N]; letmut buf2 = [0u8; N];
let s1 = &mut buf1[..size]; let s2 = &mut buf2[..size];
// Tests the quality of calling getrandom repeatedly on small buffers #[test] fn test_small_uninit() { const N: usize = 64; // For each buffer size, get at least 256 bytes and check that between // 3 and 5 bits per byte differ. Probability of failure: // ~ 2^(-91) = 64 * 2 * CDF[BinomialDistribution[8*256, 0.5], 3*256] for size in1..=N { letmut num_bytes = 0; letmut diff_bits = 0; while num_bytes < 256 { letmut buf1 = uninit_vec(N); letmut buf2 = uninit_vec(N);
let s1 = &mut buf1[..size]; let s2 = &mut buf2[..size];
let r1 = fill_uninit(s1).unwrap(); let r2 = fill_uninit(s2).unwrap();
assert_eq!(r1.len(), size);
assert_eq!(r2.len(), size);
#[test] #[cfg_attr(
target_arch = "wasm32",
ignore = "The thread API always fails/panics on WASM"
)] fn test_multithreading() { externcrate std; use std::{sync::mpsc::channel, thread, vec};
letmut txs = vec![]; for _ in0..20 { let (tx, rx) = channel();
txs.push(tx);
thread::spawn(move || { // wait until all the tasks are ready to go.
rx.recv().unwrap(); letmut v = [0u8; 1000];
for _ in0..100 {
fill(&mut v).unwrap();
thread::yield_now();
}
});
}
// start all the tasks for tx in txs.iter() {
tx.send(()).unwrap();
}
}
#[cfg(getrandom_backend = "custom")] mod custom { use getrandom::Error;
struct Xoshiro128PlusPlus {
s: [u32; 4],
}
impl Xoshiro128PlusPlus { fn new(mut seed: u64) -> Self { const PHI: u64 = 0x9e3779b97f4a7c15; letmut s = [0u32; 4]; for val in s.iter_mut() {
seed = seed.wrapping_add(PHI); letmut z = seed;
z = (z ^ (z >> 30)).wrapping_mul(0xbf58476d1ce4e5b9);
z = (z ^ (z >> 27)).wrapping_mul(0x94d049bb133111eb);
z = z ^ (z >> 31);
*val = z as u32;
} Self { s }
}
fn next_u32(&mutself) -> u32 { let res = self.s[0]
.wrapping_add(self.s[3])
.rotate_left(7)
.wrapping_add(self.s[0]);
// This implementation uses current timestamp as a PRNG seed. // // WARNING: this custom implementation is for testing purposes ONLY! #[no_mangle] unsafeextern"Rust"fn __getrandom_v03_custom(dest: *mut u8, len: usize) -> Result<(), Error> { use std::time::{SystemTime, UNIX_EPOCH};
assert_ne!(len, 0);
if len == 142 { return Err(Error::new_custom(142));
}
let dest_u32 = dest.cast::<u32>(); let ts = SystemTime::now().duration_since(UNIX_EPOCH).unwrap(); letmut rng = Xoshiro128PlusPlus::new(ts.as_nanos() as u64); for i in0..len / 4 { let val = rng.next_u32();
core::ptr::write_unaligned(dest_u32.add(i), val);
} if len % 4 != 0 { let start = 4 * (len / 4); for i in start..len { let val = rng.next_u32();
core::ptr::write_unaligned(dest.add(i), val as u8);
}
}
Ok(())
}
// Test that enabling the custom feature indeed uses the custom implementation #[test] fn test_custom() { letmut buf = [0u8; 142]; let res = getrandom::fill(&mut buf);
assert!(res.is_err());
}
}
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