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<h1 class="fqn"><span class="in-band">Function <a href="index.html">rand</a>::<wbr><a class="fn" href="#">random</a><button id="copy-path" onclick="copy_path(this)" title="Copy item path to clipboard"><img src="../clipboard.svg" width="19" height="18" alt="Copy item path"></button></span></h1><span class="out-of-band">
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<div class="docblock item-decl"><pre class="rust fn"><code>pub fn random&lt;T&gt;() -&gt; T <span class="where fmt-newline">where<br>&nbsp;&nbsp;&nbsp;&nbsp;<a class="struct" href="distributions/struct.Standard.html" title="struct rand::distributions::Standard">Standard</a>: <a class="trait" href="distributions/trait.Distribution.html" title="trait rand::distributions::Distribution">Distribution</a>&lt;T&gt;,&nbsp;</span></code></pre></div><div class="item-info"><div class="stab portability">This is supported on <strong>crate features <code>std</code> and <code>std_rng</code></strong> only.</div></div><details class="rustdoc-toggle top-doc" open><summary class="hideme"><span>Expand description</span></summary><div class="docblock"><p>Generates a random value using the thread-local random number generator.</p>
<p>This is simply a shortcut for <code>thread_rng().gen()</code>. See <a href="fn.thread_rng.html" title="thread_rng"><code>thread_rng</code></a> for
documentation of the entropy source and <a href="distributions/struct.Standard.html"><code>Standard</code></a> for documentation of
distributions and type-specific generation.</p>
<h2 id="provided-implementations" class="section-header"><a href="#provided-implementations">Provided implementations</a></h2>
<p>The following types have provided implementations that
generate values with the following ranges and distributions:</p>
<ul>
<li>Integers (<code>i32</code>, <code>u32</code>, <code>isize</code>, <code>usize</code>, etc.): Uniformly distributed
over all values of the type.</li>
<li><code>char</code>: Uniformly distributed over all Unicode scalar values, i.e. all
code points in the range <code>0...0x10_FFFF</code>, except for the range
<code>0xD800...0xDFFF</code> (the surrogate code points). This includes
unassigned/reserved code points.</li>
<li><code>bool</code>: Generates <code>false</code> or <code>true</code>, each with probability 0.5.</li>
<li>Floating point types (<code>f32</code> and <code>f64</code>): Uniformly distributed in the
half-open range <code>[0, 1)</code>. See notes below.</li>
<li>Wrapping integers (<code>Wrapping&lt;T&gt;</code>), besides the type identical to their
normal integer variants.</li>
</ul>
<p>Also supported is the generation of the following
compound types where all component types are supported:</p>
<ul>
<li>Tuples (up to 12 elements): each element is generated sequentially.</li>
<li>Arrays (up to 32 elements): each element is generated sequentially;
see also <a href="trait.Rng.html#method.fill" title="Rng::fill"><code>Rng::fill</code></a> which supports arbitrary array length for integer
types and tends to be faster for <code>u32</code> and smaller types.</li>
<li><code>Option&lt;T&gt;</code> first generates a <code>bool</code>, and if true generates and returns
<code>Some(value)</code> where <code>value: T</code>, otherwise returning <code>None</code>.</li>
</ul>
<h2 id="examples" class="section-header"><a href="#examples">Examples</a></h2>
<div class="example-wrap"><pre class="rust rust-example-rendered"><code><span class="kw">let</span> <span class="ident">x</span> <span class="op">=</span> <span class="ident">rand::random</span>::<span class="op">&lt;</span><span class="ident">u8</span><span class="op">&gt;</span>();
<span class="macro">println!</span>(<span class="string">&quot;{}&quot;</span>, <span class="ident">x</span>);
<span class="kw">let</span> <span class="ident">y</span> <span class="op">=</span> <span class="ident">rand::random</span>::<span class="op">&lt;</span><span class="ident">f64</span><span class="op">&gt;</span>();
<span class="macro">println!</span>(<span class="string">&quot;{}&quot;</span>, <span class="ident">y</span>);
<span class="kw">if</span> <span class="ident">rand::random</span>() { <span class="comment">// generates a boolean</span>
<span class="macro">println!</span>(<span class="string">&quot;Better lucky than good!&quot;</span>);
}</code></pre></div>
<p>If you’re calling <code>random()</code> in a loop, caching the generator as in the
following example can increase performance.</p>
<div class="example-wrap"><pre class="rust rust-example-rendered"><code><span class="kw">use</span> <span class="ident">rand::Rng</span>;
<span class="kw">let</span> <span class="kw-2">mut</span> <span class="ident">v</span> <span class="op">=</span> <span class="macro">vec!</span>[<span class="number">1</span>, <span class="number">2</span>, <span class="number">3</span>];
<span class="kw">for</span> <span class="ident">x</span> <span class="kw">in</span> <span class="ident">v</span>.<span class="ident">iter_mut</span>() {
<span class="kw-2">*</span><span class="ident">x</span> <span class="op">=</span> <span class="ident">rand::random</span>()
}
<span class="comment">// can be made faster by caching thread_rng</span>
<span class="kw">let</span> <span class="kw-2">mut</span> <span class="ident">rng</span> <span class="op">=</span> <span class="ident">rand::thread_rng</span>();
<span class="kw">for</span> <span class="ident">x</span> <span class="kw">in</span> <span class="ident">v</span>.<span class="ident">iter_mut</span>() {
<span class="kw-2">*</span><span class="ident">x</span> <span class="op">=</span> <span class="ident">rng</span>.<span class="ident">gen</span>();
}</code></pre></div>
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