mod.rs.html -- source
Description: Source to the Rust file `/usr/obj/ports/rust-1.16.0/rustc-1.16.0-src/src/libstd/rand/mod.rs`.
Keywords: rust, rustlang, rust-lang

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    // Copyright 2013 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.

    //! Utilities for random number generation
    //!
    //! The key functions are `random()` and `Rng::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::<f64>()`.
    //!
    //! See the `distributions` submodule for sampling random numbers from
    //! distributions like normal and exponential.
    //!
    //! # Thread-local RNG
    //!
    //! There is built-in support for a RNG associated with each thread stored
    //! in thread-local storage. This RNG can be accessed via `thread_rng`, or
    //! used implicitly via `random`. This RNG is normally randomly seeded
    //! from an operating-system source of randomness, e.g. `/dev/urandom` on
    //! Unix systems, and will automatically reseed itself from this source
    //! after generating 32 KiB of random data.
    //!
    //! # Cryptographic security
    //!
    //! An application that requires an entropy source for cryptographic purposes
    //! must use `OsRng`, which reads randomness from the source that the operating
    //! system provides (e.g. `/dev/urandom` on Unixes or `CryptGenRandom()` on Windows).
    //! The other random number generators provided by this module are not suitable
    //! for such purposes.
    //!
    //! *Note*: many Unix systems provide `/dev/random` as well as `/dev/urandom`.
    //! This module uses `/dev/urandom` for the following reasons:
    //!
    //! -   On Linux, `/dev/random` may block if entropy pool is empty; `/dev/urandom` will not block.
    //!     This does not mean that `/dev/random` provides better output than
    //!     `/dev/urandom`; the kernel internally runs a cryptographically secure pseudorandom
    //!     number generator (CSPRNG) based on entropy pool for random number generation,
    //!     so the "quality" of `/dev/random` is not better than `/dev/urandom` in most cases.
    //!     However, this means that `/dev/urandom` can yield somewhat predictable randomness
    //!     if the entropy pool is very small, such as immediately after first booting.
    //!     Linux 3.17 added the `getrandom(2)` system call which solves the issue: it blocks if entropy
    //!     pool is not initialized yet, but it does not block once initialized.
    //!     `getrandom(2)` was based on `getentropy(2)`, an existing system call in OpenBSD.
    //!     `OsRng` tries to use `getrandom(2)` if available, and use `/dev/urandom` fallback if not.
    //!     If an application does not have `getrandom` and likely to be run soon after first booting,
    //!     or on a system with very few entropy sources, one should consider using `/dev/random` via
    //!     `ReaderRng`.
    //! -   On some systems (e.g. FreeBSD, OpenBSD and Mac OS X) there is no difference
    //!     between the two sources. (Also note that, on some systems e.g. FreeBSD, both `/dev/random`
    //!     and `/dev/urandom` may block once if the CSPRNG has not seeded yet.)

    #![unstable(feature = "rand", issue = "0")]

    use cell::RefCell;
    use fmt;
    use io;
    use mem;
    use rc::Rc;
    use sys;

    #[cfg(target_pointer_width = "32")]
    use core_rand::IsaacRng as IsaacWordRng;
    #[cfg(target_pointer_width = "64")]
    use core_rand::Isaac64Rng as IsaacWordRng;

    pub use core_rand::{Rand, Rng, SeedableRng};
    pub use core_rand::{XorShiftRng, IsaacRng, Isaac64Rng};
    pub use core_rand::reseeding;

    pub mod reader;

    /// The standard RNG. This is designed to be efficient on the current
    /// platform.
    #[derive(Copy, Clone)]
    pub struct StdRng {
        rng: IsaacWordRng,
    }

    impl StdRng {
        /// Create a randomly seeded instance of `StdRng`.
        ///
        /// This is a very expensive operation as it has to read
        /// randomness from the operating system and use this in an
        /// expensive seeding operation. If one is only generating a small
        /// number of random numbers, or doesn't need the utmost speed for
        /// generating each number, `thread_rng` and/or `random` may be more
        /// appropriate.
        ///
        /// Reading the randomness from the OS may fail, and any error is
        /// propagated via the `io::Result` return value.
        pub fn new() -> io::Result<StdRng> {
            OsRng::new().map(|mut r| StdRng { rng: r.gen() })
        }
    }

    impl Rng for StdRng {
        #[inline]
        fn next_u32(&mut self) -> u32 {
            self.rng.next_u32()
        }

        #[inline]
        fn next_u64(&mut self) -> u64 {
            self.rng.next_u64()
        }
    }

    impl<'a> SeedableRng<&'a [usize]> for StdRng {
        fn reseed(&mut self, seed: &'a [usize]) {
            // the internal RNG can just be seeded from the above
            // randomness.
            self.rng.reseed(unsafe {mem::transmute(seed)})
        }

        fn from_seed(seed: &'a [usize]) -> StdRng {
            StdRng { rng: SeedableRng::from_seed(unsafe {mem::transmute(seed)}) }
        }
    }

    /// Controls how the thread-local RNG is reseeded.
    struct ThreadRngReseeder;

    impl reseeding::Reseeder<StdRng> for ThreadRngReseeder {
        fn reseed(&mut self, rng: &mut StdRng) {
            *rng = match StdRng::new() {
                Ok(r) => r,
                Err(e) => panic!("could not reseed thread_rng: {}", e)
            }
        }
    }
    const THREAD_RNG_RESEED_THRESHOLD: usize = 32_768;
    type ThreadRngInner = reseeding::ReseedingRng<StdRng, ThreadRngReseeder>;

    /// The thread-local RNG.
    #[derive(Clone)]
    pub struct ThreadRng {
        rng: Rc<RefCell<ThreadRngInner>>,
    }

    impl fmt::Debug for ThreadRng {
        fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
            f.pad("ThreadRng { .. }")
        }
    }

    /// Retrieve the lazily-initialized thread-local random number
    /// generator, seeded by the system. Intended to be used in method
    /// chaining style, e.g. `thread_rng().gen::<isize>()`.
    ///
    /// The RNG provided will reseed itself from the operating system
    /// after generating a certain amount of randomness.
    ///
    /// The internal RNG used is platform and architecture dependent, even
    /// if the operating system random number generator is rigged to give
    /// the same sequence always. If absolute consistency is required,
    /// explicitly select an RNG, e.g. `IsaacRng` or `Isaac64Rng`.
    pub fn thread_rng() -> ThreadRng {
        // used to make space in TLS for a random number generator
        thread_local!(static THREAD_RNG_KEY: Rc<RefCell<ThreadRngInner>> = {
            let r = match StdRng::new() {
                Ok(r) => r,
                Err(e) => panic!("could not initialize thread_rng: {}", e)
            };
            let rng = reseeding::ReseedingRng::new(r,
                                                   THREAD_RNG_RESEED_THRESHOLD,
                                                   ThreadRngReseeder);
            Rc::new(RefCell::new(rng))
        });

        ThreadRng { rng: THREAD_RNG_KEY.with(|t| t.clone()) }
    }

    impl Rng for ThreadRng {
        fn next_u32(&mut self) -> u32 {
            self.rng.borrow_mut().next_u32()
        }

        fn next_u64(&mut self) -> u64 {
            self.rng.borrow_mut().next_u64()
        }

        #[inline]
        fn fill_bytes(&mut self, bytes: &mut [u8]) {
            self.rng.borrow_mut().fill_bytes(bytes)
        }
    }

    /// A random number generator that retrieves randomness straight from
    /// the operating system. Platform sources:
    ///
    /// - Unix-like systems (Linux, Android, Mac OSX): read directly from
    ///   `/dev/urandom`, or from `getrandom(2)` system call if available.
    /// - Windows: calls `CryptGenRandom`, using the default cryptographic
    ///   service provider with the `PROV_RSA_FULL` type.
    /// - iOS: calls SecRandomCopyBytes as /dev/(u)random is sandboxed.
    /// - OpenBSD: uses the `getentropy(2)` system call.
    ///
    /// This does not block.
    pub struct OsRng(sys::rand::OsRng);

    impl OsRng {
        /// Create a new `OsRng`.
        pub fn new() -> io::Result<OsRng> {
            sys::rand::OsRng::new().map(OsRng)
        }
    }

    impl Rng for OsRng {
        #[inline]
        fn next_u32(&mut self) -> u32 {
            self.0.next_u32()
        }

        #[inline]
        fn next_u64(&mut self) -> u64 {
            self.0.next_u64()
        }

        #[inline]
        fn fill_bytes(&mut self, bytes: &mut [u8]) {
            self.0.fill_bytes(bytes)
        }
    }

    #[cfg(test)]
    mod tests {
        use sync::mpsc::channel;
        use rand::Rng;
        use super::OsRng;
        use thread;

        #[test]
        fn test_os_rng() {
            let mut r = OsRng::new().unwrap();

            r.next_u32();
            r.next_u64();

            let mut v = [0; 1000];
            r.fill_bytes(&mut v);
        }

        #[test]
        #[cfg_attr(target_os = "emscripten", ignore)]
        fn test_os_rng_tasks() {

            let mut txs = vec![];
            for _ in 0..20 {
                let (tx, rx) = channel();
                txs.push(tx);

                thread::spawn(move|| {
                    // wait until all the threads are ready to go.
                    rx.recv().unwrap();

                    // deschedule to attempt to interleave things as much
                    // as possible (XXX: is this a good test?)
                    let mut r = OsRng::new().unwrap();
                    thread::yield_now();
                    let mut v = [0; 1000];

                    for _ in 0..100 {
                        r.next_u32();
                        thread::yield_now();
                        r.next_u64();
                        thread::yield_now();
                        r.fill_bytes(&mut v);
                        thread::yield_now();
                    }
                });
            }

            // start all the threads
            for tx in &txs {
                tx.send(()).unwrap();
            }
        }
    }

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