Browse Source
This only fixes things enough so that the project compiles again. More standard library changes from upstream Rust will be pulled in later.pull/10/head
Fenrir
7 years ago
committed by
FenrirWolf
11 changed files with 262 additions and 508 deletions
@ -1,286 +0,0 @@
@@ -1,286 +0,0 @@
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// Copyright 2013 The Rust Project Developers. See the COPYRIGHT
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// file at the top-level directory of this distribution and at
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// http://rust-lang.org/COPYRIGHT.
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//
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// Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or
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// http://www.apache.org/licenses/LICENSE-2.0> or the MIT license
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// <LICENSE-MIT or http://opensource.org/licenses/MIT>, at your
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// option. This file may not be copied, modified, or distributed
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// except according to those terms.
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//! Utilities for random number generation
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//!
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//! The key functions are `random()` and `Rng::gen()`. These are polymorphic
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//! and so can be used to generate any type that implements `Rand`. Type inference
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//! means that often a simple call to `rand::random()` or `rng.gen()` will
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//! suffice, but sometimes an annotation is required, e.g. `rand::random::<f64>()`.
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//!
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//! See the `distributions` submodule for sampling random numbers from
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//! distributions like normal and exponential.
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//!
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//! # Thread-local RNG
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//!
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//! There is built-in support for a RNG associated with each thread stored
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//! in thread-local storage. This RNG can be accessed via `thread_rng`, or
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//! used implicitly via `random`. This RNG is normally randomly seeded
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//! from an operating-system source of randomness, e.g. `/dev/urandom` on
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//! Unix systems, and will automatically reseed itself from this source
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//! after generating 32 KiB of random data.
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//!
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//! # Cryptographic security
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//!
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//! An application that requires an entropy source for cryptographic purposes
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//! must use `OsRng`, which reads randomness from the source that the operating
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//! system provides (e.g. `/dev/urandom` on Unixes or `CryptGenRandom()` on Windows).
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//! The other random number generators provided by this module are not suitable
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//! for such purposes.
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//!
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//! *Note*: many Unix systems provide `/dev/random` as well as `/dev/urandom`.
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//! This module uses `/dev/urandom` for the following reasons:
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//!
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//! - On Linux, `/dev/random` may block if entropy pool is empty; `/dev/urandom` will not block.
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//! This does not mean that `/dev/random` provides better output than
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//! `/dev/urandom`; the kernel internally runs a cryptographically secure pseudorandom
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//! number generator (CSPRNG) based on entropy pool for random number generation,
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//! so the "quality" of `/dev/random` is not better than `/dev/urandom` in most cases.
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//! However, this means that `/dev/urandom` can yield somewhat predictable randomness
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//! if the entropy pool is very small, such as immediately after first booting.
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//! Linux 3.17 added the `getrandom(2)` system call which solves the issue: it blocks if entropy
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//! pool is not initialized yet, but it does not block once initialized.
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//! `getrandom(2)` was based on `getentropy(2)`, an existing system call in OpenBSD.
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//! `OsRng` tries to use `getrandom(2)` if available, and use `/dev/urandom` fallback if not.
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//! If an application does not have `getrandom` and likely to be run soon after first booting,
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//! or on a system with very few entropy sources, one should consider using `/dev/random` via
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//! `ReaderRng`.
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//! - On some systems (e.g. FreeBSD, OpenBSD and Mac OS X) there is no difference
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//! between the two sources. (Also note that, on some systems e.g. FreeBSD, both `/dev/random`
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//! and `/dev/urandom` may block once if the CSPRNG has not seeded yet.)
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#![unstable(feature = "rand", issue = "0")] |
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use cell::RefCell; |
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use fmt; |
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use io; |
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use mem; |
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use rc::Rc; |
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use sys; |
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#[cfg(target_pointer_width = "32")] |
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use core_rand::IsaacRng as IsaacWordRng; |
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#[cfg(target_pointer_width = "64")] |
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use core_rand::Isaac64Rng as IsaacWordRng; |
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pub use core_rand::{Rand, Rng, SeedableRng}; |
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pub use core_rand::{XorShiftRng, IsaacRng, Isaac64Rng}; |
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pub use core_rand::reseeding; |
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pub mod reader; |
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/// The standard RNG. This is designed to be efficient on the current
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/// platform.
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#[derive(Copy, Clone)] |
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pub struct StdRng { |
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rng: IsaacWordRng, |
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} |
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impl StdRng { |
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/// Create a randomly seeded instance of `StdRng`.
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///
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/// This is a very expensive operation as it has to read
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/// randomness from the operating system and use this in an
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/// expensive seeding operation. If one is only generating a small
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/// number of random numbers, or doesn't need the utmost speed for
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/// generating each number, `thread_rng` and/or `random` may be more
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/// appropriate.
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///
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/// Reading the randomness from the OS may fail, and any error is
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/// propagated via the `io::Result` return value.
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pub fn new() -> io::Result<StdRng> { |
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OsRng::new().map(|mut r| StdRng { rng: r.gen() }) |
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} |
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} |
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impl Rng for StdRng { |
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#[inline] |
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fn next_u32(&mut self) -> u32 { |
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self.rng.next_u32() |
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} |
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#[inline] |
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fn next_u64(&mut self) -> u64 { |
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self.rng.next_u64() |
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} |
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} |
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impl<'a> SeedableRng<&'a [usize]> for StdRng { |
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fn reseed(&mut self, seed: &'a [usize]) { |
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// the internal RNG can just be seeded from the above
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// randomness.
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self.rng.reseed(unsafe {mem::transmute(seed)}) |
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} |
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fn from_seed(seed: &'a [usize]) -> StdRng { |
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StdRng { rng: SeedableRng::from_seed(unsafe {mem::transmute(seed)}) } |
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} |
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} |
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/// Controls how the thread-local RNG is reseeded.
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struct ThreadRngReseeder; |
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impl reseeding::Reseeder<StdRng> for ThreadRngReseeder { |
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fn reseed(&mut self, rng: &mut StdRng) { |
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*rng = match StdRng::new() { |
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Ok(r) => r, |
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Err(e) => panic!("could not reseed thread_rng: {}", e) |
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} |
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} |
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} |
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const THREAD_RNG_RESEED_THRESHOLD: usize = 32_768; |
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type ThreadRngInner = reseeding::ReseedingRng<StdRng, ThreadRngReseeder>; |
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/// The thread-local RNG.
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#[derive(Clone)] |
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pub struct ThreadRng { |
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rng: Rc<RefCell<ThreadRngInner>>, |
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} |
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impl fmt::Debug for ThreadRng { |
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fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result { |
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f.pad("ThreadRng { .. }") |
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} |
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} |
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/// Retrieve the lazily-initialized thread-local random number
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/// generator, seeded by the system. Intended to be used in method
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/// chaining style, e.g. `thread_rng().gen::<isize>()`.
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///
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/// The RNG provided will reseed itself from the operating system
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/// after generating a certain amount of randomness.
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///
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/// The internal RNG used is platform and architecture dependent, even
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/// if the operating system random number generator is rigged to give
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/// the same sequence always. If absolute consistency is required,
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/// explicitly select an RNG, e.g. `IsaacRng` or `Isaac64Rng`.
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pub fn thread_rng() -> ThreadRng { |
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// used to make space in TLS for a random number generator
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thread_local!(static THREAD_RNG_KEY: Rc<RefCell<ThreadRngInner>> = { |
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let r = match StdRng::new() { |
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Ok(r) => r, |
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Err(e) => panic!("could not initialize thread_rng: {}", e) |
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}; |
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let rng = reseeding::ReseedingRng::new(r, |
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THREAD_RNG_RESEED_THRESHOLD, |
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ThreadRngReseeder); |
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Rc::new(RefCell::new(rng)) |
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}); |
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ThreadRng { rng: THREAD_RNG_KEY.with(|t| t.clone()) } |
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} |
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impl Rng for ThreadRng { |
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fn next_u32(&mut self) -> u32 { |
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self.rng.borrow_mut().next_u32() |
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} |
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fn next_u64(&mut self) -> u64 { |
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self.rng.borrow_mut().next_u64() |
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} |
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#[inline] |
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fn fill_bytes(&mut self, bytes: &mut [u8]) { |
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self.rng.borrow_mut().fill_bytes(bytes) |
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} |
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} |
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/// A random number generator that retrieves randomness straight from
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/// the operating system. Platform sources:
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///
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/// - Unix-like systems (Linux, Android, Mac OSX): read directly from
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/// `/dev/urandom`, or from `getrandom(2)` system call if available.
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/// - Windows: calls `CryptGenRandom`, using the default cryptographic
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/// service provider with the `PROV_RSA_FULL` type.
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/// - iOS: calls SecRandomCopyBytes as /dev/(u)random is sandboxed.
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/// - OpenBSD: uses the `getentropy(2)` system call.
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///
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/// This does not block.
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pub struct OsRng(sys::rand::OsRng); |
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impl OsRng { |
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/// Create a new `OsRng`.
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pub fn new() -> io::Result<OsRng> { |
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sys::rand::OsRng::new().map(OsRng) |
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} |
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} |
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impl Rng for OsRng { |
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#[inline] |
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fn next_u32(&mut self) -> u32 { |
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self.0.next_u32() |
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} |
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#[inline] |
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fn next_u64(&mut self) -> u64 { |
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self.0.next_u64() |
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} |
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#[inline] |
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fn fill_bytes(&mut self, bytes: &mut [u8]) { |
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self.0.fill_bytes(bytes) |
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} |
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} |
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#[cfg(test)] |
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mod tests { |
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use sync::mpsc::channel; |
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use rand::Rng; |
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use super::OsRng; |
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use thread; |
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#[test] |
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fn test_os_rng() { |
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let mut r = OsRng::new().unwrap(); |
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r.next_u32(); |
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r.next_u64(); |
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let mut v = [0; 1000]; |
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r.fill_bytes(&mut v); |
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} |
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#[test] |
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#[cfg_attr(target_os = "emscripten", ignore)] |
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fn test_os_rng_tasks() { |
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let mut txs = vec![]; |
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for _ in 0..20 { |
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let (tx, rx) = channel(); |
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txs.push(tx); |
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thread::spawn(move|| { |
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// wait until all the threads are ready to go.
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rx.recv().unwrap(); |
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// deschedule to attempt to interleave things as much
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// as possible (XXX: is this a good test?)
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let mut r = OsRng::new().unwrap(); |
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thread::yield_now(); |
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let mut v = [0; 1000]; |
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for _ in 0..100 { |
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r.next_u32(); |
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thread::yield_now(); |
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r.next_u64(); |
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thread::yield_now(); |
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r.fill_bytes(&mut v); |
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thread::yield_now(); |
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} |
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}); |
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} |
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// start all the threads
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for tx in &txs { |
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tx.send(()).unwrap(); |
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} |
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} |
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} |
@ -1,108 +0,0 @@
@@ -1,108 +0,0 @@
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// Copyright 2013 The Rust Project Developers. See the COPYRIGHT
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// file at the top-level directory of this distribution and at
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// http://rust-lang.org/COPYRIGHT.
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//
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// Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or
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// http://www.apache.org/licenses/LICENSE-2.0> or the MIT license
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// <LICENSE-MIT or http://opensource.org/licenses/MIT>, at your
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// option. This file may not be copied, modified, or distributed
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// except according to those terms.
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//! A wrapper around any Read to treat it as an RNG.
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#![allow(dead_code)] |
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use io::prelude::*; |
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use rand::Rng; |
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/// An RNG that reads random bytes straight from a `Read`. This will
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/// work best with an infinite reader, but this is not required.
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///
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/// # Panics
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///
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/// It will panic if it there is insufficient data to fulfill a request.
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pub struct ReaderRng<R> { |
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reader: R |
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} |
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impl<R: Read> ReaderRng<R> { |
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/// Create a new `ReaderRng` from a `Read`.
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pub fn new(r: R) -> ReaderRng<R> { |
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ReaderRng { |
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reader: r |
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} |
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} |
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} |
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impl<R: Read> Rng for ReaderRng<R> { |
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fn next_u32(&mut self) -> u32 { |
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// This is designed for speed: reading a LE integer on a LE
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// platform just involves blitting the bytes into the memory
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// of the u32, similarly for BE on BE; avoiding byteswapping.
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let mut bytes = [0; 4]; |
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self.fill_bytes(&mut bytes); |
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unsafe { *(bytes.as_ptr() as *const u32) } |
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} |
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fn next_u64(&mut self) -> u64 { |
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// see above for explanation.
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let mut bytes = [0; 8]; |
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self.fill_bytes(&mut bytes); |
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unsafe { *(bytes.as_ptr() as *const u64) } |
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} |
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fn fill_bytes(&mut self, mut v: &mut [u8]) { |
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while !v.is_empty() { |
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let t = v; |
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match self.reader.read(t) { |
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Ok(0) => panic!("ReaderRng.fill_bytes: EOF reached"), |
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Ok(n) => v = t.split_at_mut(n).1, |
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Err(e) => panic!("ReaderRng.fill_bytes: {}", e), |
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} |
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} |
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} |
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} |
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#[cfg(test)] |
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mod tests { |
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use super::ReaderRng; |
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use rand::Rng; |
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#[test] |
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fn test_reader_rng_u64() { |
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// transmute from the target to avoid endianness concerns.
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let v = &[0, 0, 0, 0, 0, 0, 0, 1, |
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0, 0, 0, 0, 0, 0, 0, 2, |
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0, 0, 0, 0, 0, 0, 0, 3][..]; |
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let mut rng = ReaderRng::new(v); |
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assert_eq!(rng.next_u64(), 1u64.to_be()); |
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assert_eq!(rng.next_u64(), 2u64.to_be()); |
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assert_eq!(rng.next_u64(), 3u64.to_be()); |
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} |
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#[test] |
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fn test_reader_rng_u32() { |
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let v = &[0, 0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 3][..]; |
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let mut rng = ReaderRng::new(v); |
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assert_eq!(rng.next_u32(), 1u32.to_be()); |
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assert_eq!(rng.next_u32(), 2u32.to_be()); |
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assert_eq!(rng.next_u32(), 3u32.to_be()); |
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} |
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#[test] |
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fn test_reader_rng_fill_bytes() { |
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let v = [1, 2, 3, 4, 5, 6, 7, 8]; |
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let mut w = [0; 8]; |
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let mut rng = ReaderRng::new(&v[..]); |
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rng.fill_bytes(&mut w); |
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assert!(v == w); |
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} |
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#[test] |
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#[should_panic] |
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fn test_reader_rng_insufficient_bytes() { |
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let mut rng = ReaderRng::new(&[][..]); |
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let mut v = [0; 3]; |
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rng.fill_bytes(&mut v); |
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} |
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} |
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