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<!DOCTYPE html><html lang="en"><head><meta charset="utf-8"><meta name="viewport" content="width=device-width, initial-scale=1.0"><meta name="generator" content="rustdoc"><meta name="description" content="API documentation for the Rust `rngs` mod in crate `rand`."><meta name="keywords" content="rust, rustlang, rust-lang, rngs"><title>rand::rngs - Rust</title><link rel="stylesheet" type="text/css" href="../../normalize.css"><link rel="stylesheet" type="text/css" href="../../rustdoc.css" id="mainThemeStyle"><link rel="stylesheet" type="text/css" href="../../dark.css"><link rel="stylesheet" type="text/css" href="../../light.css" id="themeStyle"><script src="../../storage.js"></script><noscript><link rel="stylesheet" href="../../noscript.css"></noscript><link rel="shortcut icon" href="https://www.rust-lang.org/favicon.ico"><style type="text/css">#crate-search{background-image:url("../../down-arrow.svg");}</style></head><body class="rustdoc mod"><!--[if lte IE 8]><div class="warning">This old browser is unsupported and will most likely display funky things.</div><![endif]--><nav class="sidebar"><div class="sidebar-menu">&#9776;</div><a href='../../rand/index.html'><div class='logo-container'><img src='https://www.rust-lang.org/logos/rust-logo-128x128-blk.png' alt='logo'></div></a><p class='location'>Module rngs</p><div class="sidebar-elems"><div class="block items"><ul><li><a href="#modules">Modules</a></li><li><a href="#structs">Structs</a></li></ul></div><p class='location'><a href='../index.html'>rand</a></p><script>window.sidebarCurrent = {name: 'rngs', ty: 'mod', relpath: '../'};</script><script defer src="../sidebar-items.js"></script></div></nav><div class="theme-picker"><button id="theme-picker" aria-label="Pick another theme!"><img src="../../brush.svg" width="18" alt="Pick another theme!"></button><div id="theme-choices"></div></div><script src="../../theme.js"></script><nav class="sub"><form class="search-form js-only"><div class="search-container"><div><select id="crate-search"><option value="All crates">All crates</option></select><input class="search-input" name="search" autocomplete="off" spellcheck="false" placeholder="Click or press S to search, ? for more options…" type="search"></div><a id="settings-menu" href="../../settings.html"><img src="../../wheel.svg" width="18" alt="Change settings"></a></div></form></nav><section id="main" class="content"><h1 class='fqn'><span class='out-of-band'><span id='render-detail'><a id="toggle-all-docs" href="javascript:void(0)" title="collapse all docs">[<span class='inner'>&#x2212;</span>]</a></span><a class='srclink' href='../../src/rand/rngs/mod.rs.html#9-120' title='goto source code'>[src]</a></span><span class='in-band'>Module <a href='../index.html'>rand</a>::<wbr><a class="mod" href=''>rngs</a></span></h1><div class='docblock'><p>Random number generators and adapters</p>
<h2 id="background-random-number-generators-rngs" class="section-header"><a href="#background-random-number-generators-rngs">Background: Random number generators (RNGs)</a></h2>
<p>Computers cannot produce random numbers from nowhere. We classify
random number generators as follows:</p>
<ul>
<li>&quot;True&quot; random number generators (TRNGs) use hard-to-predict data sources
(e.g. the high-resolution parts of event timings and sensor jitter) to
harvest random bit-sequences, apply algorithms to remove bias and
estimate available entropy, then combine these bits into a byte-sequence
or an entropy pool. This job is usually done by the operating system or
a hardware generator (HRNG).</li>
<li>&quot;Pseudo&quot;-random number generators (PRNGs) use algorithms to transform a
seed into a sequence of pseudo-random numbers. These generators can be
fast and produce well-distributed unpredictable random numbers (or not).
They are usually deterministic: given algorithm and seed, the output
sequence can be reproduced. They have finite period and eventually loop;
with many algorithms this period is fixed and can be proven sufficiently
long, while others are chaotic and the period depends on the seed.</li>
<li>&quot;Cryptographically secure&quot; pseudo-random number generators (CSPRNGs)
are the sub-set of PRNGs which are secure. Security of the generator
relies both on hiding the internal state and using a strong algorithm.</li>
</ul>
<h2 id="traits-and-functionality" class="section-header"><a href="#traits-and-functionality">Traits and functionality</a></h2>
<p>All RNGs implement the [<code>RngCore</code>] trait, as a consequence of which the
[<code>Rng</code>] extension trait is automatically implemented. Secure RNGs may
additionally implement the [<code>CryptoRng</code>] trait.</p>
<p>All PRNGs require a seed to produce their random number sequence. The
[<code>SeedableRng</code>] trait provides three ways of constructing PRNGs:</p>
<ul>
<li><code>from_seed</code> accepts a type specific to the PRNG</li>
<li><code>from_rng</code> allows a PRNG to be seeded from any other RNG</li>
<li><code>seed_from_u64</code> allows any PRNG to be seeded from a <code>u64</code> insecurely</li>
<li><code>from_entropy</code> securely seeds a PRNG from fresh entropy</li>
</ul>
<p>Use the [<code>rand_core</code>] crate when implementing your own RNGs.</p>
<h2 id="our-generators" class="section-header"><a href="#our-generators">Our generators</a></h2>
<p>This crate provides several random number generators:</p>
<ul>
<li><a href="rngs::OsRng"><code>OsRng</code></a> is an interface to the operating system's random number
source. Typically the operating system uses a CSPRNG with entropy
provided by a TRNG and some type of on-going re-seeding.</li>
<li><a href="rngs::ThreadRng"><code>ThreadRng</code></a>, provided by the [<code>thread_rng</code>] function, is a handle to a
thread-local CSPRNG with periodic seeding from <a href="rngs::OsRng"><code>OsRng</code></a>. Because this
is local, it is typically much faster than <a href="rngs::OsRng"><code>OsRng</code></a>. It should be
secure, though the paranoid may prefer <a href="rngs::OsRng"><code>OsRng</code></a>.</li>
<li><a href="rngs::StdRng"><code>StdRng</code></a> is a CSPRNG chosen for good performance and trust of security
(based on reviews, maturity and usage). The current algorithm is ChaCha20,
which is well established and rigorously analysed.
<a href="rngs::StdRng"><code>StdRng</code></a> provides the algorithm used by <a href="rngs::ThreadRng"><code>ThreadRng</code></a> but without
periodic reseeding.</li>
<li><a href="rngs::SmallRng"><code>SmallRng</code></a> is an <strong>insecure</strong> PRNG designed to be fast, simple, require
little memory, and have good output quality.</li>
</ul>
<p>The algorithms selected for <a href="rngs::StdRng"><code>StdRng</code></a> and <a href="rngs::SmallRng"><code>SmallRng</code></a> may change in any
release and may be platform-dependent, therefore they should be considered
<strong>not reproducible</strong>.</p>
<h2 id="additional-generators" class="section-header"><a href="#additional-generators">Additional generators</a></h2>
<p><strong>TRNGs</strong>: The <a href="https://crates.io/crates/rdrand"><code>rdrand</code></a> crate provides an interface to the RDRAND and
RDSEED instructions available in modern Intel and AMD CPUs.
The <a href="https://crates.io/crates/rand_jitter"><code>rand_jitter</code></a> crate provides a user-space implementation of
entropy harvesting from CPU timer jitter, but is very slow and has
<a href="https://github.com/rust-random/rand/issues/699">security issues</a>.</p>
<p><strong>PRNGs</strong>: Several companion crates are available, providing individual or
families of PRNG algorithms. These provide the implementations behind
<a href="rngs::StdRng"><code>StdRng</code></a> and <a href="rngs::SmallRng"><code>SmallRng</code></a> but can also be used directly, indeed <em>should</em>
be used directly when <strong>reproducibility</strong> matters.
Some suggestions are: <a href="https://crates.io/crates/rand_chacha"><code>rand_chacha</code></a>, <a href="https://crates.io/crates/rand_pcg"><code>rand_pcg</code></a>, <a href="https://crates.io/crates/rand_xoshiro"><code>rand_xoshiro</code></a>.
A full list can be found by searching for crates with the <a href="https://crates.io/keywords/rng"><code>rng</code> tag</a>.</p>
</div><h2 id='modules' class='section-header'><a href="#modules">Modules</a></h2>
<table><tr class='module-item'><td><a class="mod" href="adapter/index.html" title='rand::rngs::adapter mod'>adapter</a></td><td class='docblock-short'><p>Wrappers / adapters forming RNGs</p>
</td></tr><tr class='module-item'><td><a class="mod" href="mock/index.html" title='rand::rngs::mock mod'>mock</a></td><td class='docblock-short'><p>Mock random number generator</p>
</td></tr></table><h2 id='structs' class='section-header'><a href="#structs">Structs</a></h2>
<table><tr class='module-item'><td><a class="struct" href="struct.EntropyRng.html" title='rand::rngs::EntropyRng struct'>EntropyRng</a></td><td class='docblock-short'><span class="stab deprecated">Deprecated</span><p>An interface returning random data from external source(s), provided
specifically for securely seeding algorithmic generators (PRNGs).</p>
</td></tr><tr class='module-item'><td><a class="struct" href="struct.OsRng.html" title='rand::rngs::OsRng struct'>OsRng</a></td><td class='docblock-short'><p>A random number generator that retrieves randomness from from the
operating system.</p>
</td></tr><tr class='module-item'><td><a class="struct" href="struct.StdRng.html" title='rand::rngs::StdRng struct'>StdRng</a></td><td class='docblock-short'><p>The standard RNG. The PRNG algorithm in <code>StdRng</code> is chosen to be efficient
on the current platform, to be statistically strong and unpredictable
(meaning a cryptographically secure PRNG).</p>
</td></tr><tr class='module-item'><td><a class="struct" href="struct.ThreadRng.html" title='rand::rngs::ThreadRng struct'>ThreadRng</a></td><td class='docblock-short'><p>The type returned by [<code>thread_rng</code>], essentially just a reference to the
PRNG in thread-local memory.</p>
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