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</pre><pre class="rust"><code><span class="comment">// Copyright 2018 Developers of the Rand project.
//
// Licensed under the Apache License, Version 2.0 &lt;LICENSE-APACHE or
// https://www.apache.org/licenses/LICENSE-2.0&gt; or the MIT license
// &lt;LICENSE-MIT or https://opensource.org/licenses/MIT&gt;, at your
// option. This file may not be copied, modified, or distributed
// except according to those terms.
</span><span class="doccomment">//! A small fast RNG
</span><span class="kw">use </span>rand_core::{Error, RngCore, SeedableRng};
<span class="attribute">#[cfg(target_pointer_width = <span class="string">&quot;64&quot;</span>)]
</span><span class="kw">type </span>Rng = <span class="kw">super</span>::xoshiro256plusplus::Xoshiro256PlusPlus;
<span class="attribute">#[cfg(not(target_pointer_width = <span class="string">&quot;64&quot;</span>))]
</span><span class="kw">type </span>Rng = <span class="kw">super</span>::xoshiro128plusplus::Xoshiro128PlusPlus;
<span class="doccomment">/// A small-state, fast non-crypto PRNG
///
/// `SmallRng` may be a good choice when a PRNG with small state, cheap
/// initialization, good statistical quality and good performance are required.
/// Note that depending on the application, [`StdRng`] may be faster on many
/// modern platforms while providing higher-quality randomness. Furthermore,
/// `SmallRng` is **not** a good choice when:
/// - Security against prediction is important. Use [`StdRng`] instead.
/// - Seeds with many zeros are provided. In such cases, it takes `SmallRng`
/// about 10 samples to produce 0 and 1 bits with equal probability. Either
/// provide seeds with an approximately equal number of 0 and 1 (for example
/// by using [`SeedableRng::from_entropy`] or [`SeedableRng::seed_from_u64`]),
/// or use [`StdRng`] instead.
///
/// The algorithm is deterministic but should not be considered reproducible
/// due to dependence on platform and possible replacement in future
/// library versions. For a reproducible generator, use a named PRNG from an
/// external crate, e.g. [rand_xoshiro] or [rand_chacha].
/// Refer also to [The Book](https://rust-random.github.io/book/guide-rngs.html).
///
/// The PRNG algorithm in `SmallRng` is chosen to be efficient on the current
/// platform, without consideration for cryptography or security. The size of
/// its state is much smaller than [`StdRng`]. The current algorithm is
/// `Xoshiro256PlusPlus` on 64-bit platforms and `Xoshiro128PlusPlus` on 32-bit
/// platforms. Both are also implemented by the [rand_xoshiro] crate.
///
/// # Examples
///
/// Initializing `SmallRng` with a random seed can be done using [`SeedableRng::from_entropy`]:
///
/// ```
/// use rand::{Rng, SeedableRng};
/// use rand::rngs::SmallRng;
///
/// // Create small, cheap to initialize and fast RNG with a random seed.
/// // The randomness is supplied by the operating system.
/// let mut small_rng = SmallRng::from_entropy();
/// # let v: u32 = small_rng.gen();
/// ```
///
/// When initializing a lot of `SmallRng`&#39;s, using [`thread_rng`] can be more
/// efficient:
///
/// ```
/// use rand::{SeedableRng, thread_rng};
/// use rand::rngs::SmallRng;
///
/// // Create a big, expensive to initialize and slower, but unpredictable RNG.
/// // This is cached and done only once per thread.
/// let mut thread_rng = thread_rng();
/// // Create small, cheap to initialize and fast RNGs with random seeds.
/// // One can generally assume this won&#39;t fail.
/// let rngs: Vec&lt;SmallRng&gt; = (0..10)
/// .map(|_| SmallRng::from_rng(&amp;mut thread_rng).unwrap())
/// .collect();
/// ```
///
/// [`StdRng`]: crate::rngs::StdRng
/// [`thread_rng`]: crate::thread_rng
/// [rand_chacha]: https://crates.io/crates/rand_chacha
/// [rand_xoshiro]: https://crates.io/crates/rand_xoshiro
</span><span class="attribute">#[cfg_attr(doc_cfg, doc(cfg(feature = <span class="string">&quot;small_rng&quot;</span>)))]
#[derive(Clone, Debug, PartialEq, Eq)]
</span><span class="kw">pub struct </span>SmallRng(Rng);
<span class="kw">impl </span>RngCore <span class="kw">for </span>SmallRng {
<span class="attribute">#[inline(always)]
</span><span class="kw">fn </span>next_u32(<span class="kw-2">&amp;mut </span><span class="self">self</span>) -&gt; u32 {
<span class="self">self</span>.<span class="number">0</span>.next_u32()
}
<span class="attribute">#[inline(always)]
</span><span class="kw">fn </span>next_u64(<span class="kw-2">&amp;mut </span><span class="self">self</span>) -&gt; u64 {
<span class="self">self</span>.<span class="number">0</span>.next_u64()
}
<span class="attribute">#[inline(always)]
</span><span class="kw">fn </span>fill_bytes(<span class="kw-2">&amp;mut </span><span class="self">self</span>, dest: <span class="kw-2">&amp;mut </span>[u8]) {
<span class="self">self</span>.<span class="number">0</span>.fill_bytes(dest);
}
<span class="attribute">#[inline(always)]
</span><span class="kw">fn </span>try_fill_bytes(<span class="kw-2">&amp;mut </span><span class="self">self</span>, dest: <span class="kw-2">&amp;mut </span>[u8]) -&gt; <span class="prelude-ty">Result</span>&lt;(), Error&gt; {
<span class="self">self</span>.<span class="number">0</span>.try_fill_bytes(dest)
}
}
<span class="kw">impl </span>SeedableRng <span class="kw">for </span>SmallRng {
<span class="kw">type </span>Seed = &lt;Rng <span class="kw">as </span>SeedableRng&gt;::Seed;
<span class="attribute">#[inline(always)]
</span><span class="kw">fn </span>from_seed(seed: <span class="self">Self</span>::Seed) -&gt; <span class="self">Self </span>{
SmallRng(Rng::from_seed(seed))
}
<span class="attribute">#[inline(always)]
</span><span class="kw">fn </span>from_rng&lt;R: RngCore&gt;(rng: R) -&gt; <span class="prelude-ty">Result</span>&lt;<span class="self">Self</span>, Error&gt; {
Rng::from_rng(rng).map(SmallRng)
}
}
</code></pre></div>
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