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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 <LICENSE-APACHE or |
| // https://www.apache.org/licenses/LICENSE-2.0> or the MIT license |
| // <LICENSE-MIT or https://opensource.org/licenses/MIT>, at your |
| // option. This file may not be copied, modified, or distributed |
| // except according to those terms. |
| |
| </span><span class="doccomment">//! Basic floating-point number distributions |
| |
| </span><span class="kw">use </span><span class="kw">crate</span>::distributions::utils::FloatSIMDUtils; |
| <span class="kw">use </span><span class="kw">crate</span>::distributions::{Distribution, Standard}; |
| <span class="kw">use </span><span class="kw">crate</span>::Rng; |
| <span class="kw">use </span>core::mem; |
| <span class="attribute">#[cfg(feature = <span class="string">"simd_support"</span>)] </span><span class="kw">use </span>packed_simd::<span class="kw-2">*</span>; |
| |
| <span class="attribute">#[cfg(feature = <span class="string">"serde1"</span>)] |
| </span><span class="kw">use </span>serde::{Serialize, Deserialize}; |
| |
| <span class="doccomment">/// A distribution to sample floating point numbers uniformly in the half-open |
| /// interval `(0, 1]`, i.e. including 1 but not 0. |
| /// |
| /// All values that can be generated are of the form `n * ε/2`. For `f32` |
| /// the 24 most significant random bits of a `u32` are used and for `f64` the |
| /// 53 most significant bits of a `u64` are used. The conversion uses the |
| /// multiplicative method. |
| /// |
| /// See also: [`Standard`] which samples from `[0, 1)`, [`Open01`] |
| /// which samples from `(0, 1)` and [`Uniform`] which samples from arbitrary |
| /// ranges. |
| /// |
| /// # Example |
| /// ``` |
| /// use rand::{thread_rng, Rng}; |
| /// use rand::distributions::OpenClosed01; |
| /// |
| /// let val: f32 = thread_rng().sample(OpenClosed01); |
| /// println!("f32 from (0, 1): {}", val); |
| /// ``` |
| /// |
| /// [`Standard`]: crate::distributions::Standard |
| /// [`Open01`]: crate::distributions::Open01 |
| /// [`Uniform`]: crate::distributions::uniform::Uniform |
| </span><span class="attribute">#[derive(Clone, Copy, Debug)] |
| #[cfg_attr(feature = <span class="string">"serde1"</span>, derive(Serialize, Deserialize))] |
| </span><span class="kw">pub struct </span>OpenClosed01; |
| |
| <span class="doccomment">/// A distribution to sample floating point numbers uniformly in the open |
| /// interval `(0, 1)`, i.e. not including either endpoint. |
| /// |
| /// All values that can be generated are of the form `n * ε + ε/2`. For `f32` |
| /// the 23 most significant random bits of an `u32` are used, for `f64` 52 from |
| /// an `u64`. The conversion uses a transmute-based method. |
| /// |
| /// See also: [`Standard`] which samples from `[0, 1)`, [`OpenClosed01`] |
| /// which samples from `(0, 1]` and [`Uniform`] which samples from arbitrary |
| /// ranges. |
| /// |
| /// # Example |
| /// ``` |
| /// use rand::{thread_rng, Rng}; |
| /// use rand::distributions::Open01; |
| /// |
| /// let val: f32 = thread_rng().sample(Open01); |
| /// println!("f32 from (0, 1): {}", val); |
| /// ``` |
| /// |
| /// [`Standard`]: crate::distributions::Standard |
| /// [`OpenClosed01`]: crate::distributions::OpenClosed01 |
| /// [`Uniform`]: crate::distributions::uniform::Uniform |
| </span><span class="attribute">#[derive(Clone, Copy, Debug)] |
| #[cfg_attr(feature = <span class="string">"serde1"</span>, derive(Serialize, Deserialize))] |
| </span><span class="kw">pub struct </span>Open01; |
| |
| |
| <span class="comment">// This trait is needed by both this lib and rand_distr hence is a hidden export |
| </span><span class="attribute">#[doc(hidden)] |
| </span><span class="kw">pub trait </span>IntoFloat { |
| <span class="kw">type </span>F; |
| |
| <span class="doccomment">/// Helper method to combine the fraction and a constant exponent into a |
| /// float. |
| /// |
| /// Only the least significant bits of `self` may be set, 23 for `f32` and |
| /// 52 for `f64`. |
| /// The resulting value will fall in a range that depends on the exponent. |
| /// As an example the range with exponent 0 will be |
| /// [2<sup>0</sup>..2<sup>1</sup>), which is [1..2). |
| </span><span class="kw">fn </span>into_float_with_exponent(<span class="self">self</span>, exponent: i32) -> <span class="self">Self</span>::F; |
| } |
| |
| <span class="macro">macro_rules! </span>float_impls { |
| (<span class="macro-nonterminal">$ty</span>:ident, <span class="macro-nonterminal">$uty</span>:ident, <span class="macro-nonterminal">$f_scalar</span>:ident, <span class="macro-nonterminal">$u_scalar</span>:ty, |
| <span class="macro-nonterminal">$fraction_bits</span>:expr, <span class="macro-nonterminal">$exponent_bias</span>:expr) => { |
| <span class="kw">impl </span>IntoFloat <span class="kw">for </span><span class="macro-nonterminal">$uty </span>{ |
| <span class="kw">type </span>F = <span class="macro-nonterminal">$ty</span>; |
| <span class="attribute">#[inline(always)] |
| </span><span class="kw">fn </span>into_float_with_exponent(<span class="self">self</span>, exponent: i32) -> <span class="macro-nonterminal">$ty </span>{ |
| <span class="comment">// The exponent is encoded using an offset-binary representation |
| </span><span class="kw">let </span>exponent_bits: <span class="macro-nonterminal">$u_scalar </span>= |
| ((<span class="macro-nonterminal">$exponent_bias </span>+ exponent) <span class="kw">as </span><span class="macro-nonterminal">$u_scalar</span>) << <span class="macro-nonterminal">$fraction_bits</span>; |
| <span class="macro-nonterminal">$ty::from_bits</span>(<span class="self">self </span>| exponent_bits) |
| } |
| } |
| |
| <span class="kw">impl </span>Distribution<<span class="macro-nonterminal">$ty</span>> <span class="kw">for </span>Standard { |
| <span class="kw">fn </span>sample<R: Rng + <span class="question-mark">?</span>Sized>(<span class="kw-2">&</span><span class="self">self</span>, rng: <span class="kw-2">&mut </span>R) -> <span class="macro-nonterminal">$ty </span>{ |
| <span class="comment">// Multiply-based method; 24/53 random bits; [0, 1) interval. |
| // We use the most significant bits because for simple RNGs |
| // those are usually more random. |
| </span><span class="kw">let </span>float_size = mem::size_of::<<span class="macro-nonterminal">$f_scalar</span>>() <span class="kw">as </span>u32 * <span class="number">8</span>; |
| <span class="kw">let </span>precision = <span class="macro-nonterminal">$fraction_bits </span>+ <span class="number">1</span>; |
| <span class="kw">let </span>scale = <span class="number">1.0 </span>/ ((<span class="number">1 </span><span class="kw">as </span><span class="macro-nonterminal">$u_scalar </span><< precision) <span class="kw">as </span><span class="macro-nonterminal">$f_scalar</span>); |
| |
| <span class="kw">let </span>value: <span class="macro-nonterminal">$uty </span>= rng.gen(); |
| <span class="kw">let </span>value = value >> (float_size - precision); |
| scale * <span class="macro-nonterminal">$ty::cast_from_int</span>(value) |
| } |
| } |
| |
| <span class="kw">impl </span>Distribution<<span class="macro-nonterminal">$ty</span>> <span class="kw">for </span>OpenClosed01 { |
| <span class="kw">fn </span>sample<R: Rng + <span class="question-mark">?</span>Sized>(<span class="kw-2">&</span><span class="self">self</span>, rng: <span class="kw-2">&mut </span>R) -> <span class="macro-nonterminal">$ty </span>{ |
| <span class="comment">// Multiply-based method; 24/53 random bits; (0, 1] interval. |
| // We use the most significant bits because for simple RNGs |
| // those are usually more random. |
| </span><span class="kw">let </span>float_size = mem::size_of::<<span class="macro-nonterminal">$f_scalar</span>>() <span class="kw">as </span>u32 * <span class="number">8</span>; |
| <span class="kw">let </span>precision = <span class="macro-nonterminal">$fraction_bits </span>+ <span class="number">1</span>; |
| <span class="kw">let </span>scale = <span class="number">1.0 </span>/ ((<span class="number">1 </span><span class="kw">as </span><span class="macro-nonterminal">$u_scalar </span><< precision) <span class="kw">as </span><span class="macro-nonterminal">$f_scalar</span>); |
| |
| <span class="kw">let </span>value: <span class="macro-nonterminal">$uty </span>= rng.gen(); |
| <span class="kw">let </span>value = value >> (float_size - precision); |
| <span class="comment">// Add 1 to shift up; will not overflow because of right-shift: |
| </span>scale * <span class="macro-nonterminal">$ty::cast_from_int</span>(value + <span class="number">1</span>) |
| } |
| } |
| |
| <span class="kw">impl </span>Distribution<<span class="macro-nonterminal">$ty</span>> <span class="kw">for </span>Open01 { |
| <span class="kw">fn </span>sample<R: Rng + <span class="question-mark">?</span>Sized>(<span class="kw-2">&</span><span class="self">self</span>, rng: <span class="kw-2">&mut </span>R) -> <span class="macro-nonterminal">$ty </span>{ |
| <span class="comment">// Transmute-based method; 23/52 random bits; (0, 1) interval. |
| // We use the most significant bits because for simple RNGs |
| // those are usually more random. |
| </span><span class="kw">use </span>core::<span class="macro-nonterminal">$f_scalar::EPSILON</span>; |
| <span class="kw">let </span>float_size = mem::size_of::<<span class="macro-nonterminal">$f_scalar</span>>() <span class="kw">as </span>u32 * <span class="number">8</span>; |
| |
| <span class="kw">let </span>value: <span class="macro-nonterminal">$uty </span>= rng.gen(); |
| <span class="kw">let </span>fraction = value >> (float_size - <span class="macro-nonterminal">$fraction_bits</span>); |
| fraction.into_float_with_exponent(<span class="number">0</span>) - (<span class="number">1.0 </span>- EPSILON / <span class="number">2.0</span>) |
| } |
| } |
| } |
| } |
| |
| <span class="macro">float_impls! </span>{ f32, u32, f32, u32, <span class="number">23</span>, <span class="number">127 </span>} |
| <span class="macro">float_impls! </span>{ f64, u64, f64, u64, <span class="number">52</span>, <span class="number">1023 </span>} |
| |
| <span class="attribute">#[cfg(feature = <span class="string">"simd_support"</span>)] |
| </span><span class="macro">float_impls! </span>{ f32x2, u32x2, f32, u32, <span class="number">23</span>, <span class="number">127 </span>} |
| <span class="attribute">#[cfg(feature = <span class="string">"simd_support"</span>)] |
| </span><span class="macro">float_impls! </span>{ f32x4, u32x4, f32, u32, <span class="number">23</span>, <span class="number">127 </span>} |
| <span class="attribute">#[cfg(feature = <span class="string">"simd_support"</span>)] |
| </span><span class="macro">float_impls! </span>{ f32x8, u32x8, f32, u32, <span class="number">23</span>, <span class="number">127 </span>} |
| <span class="attribute">#[cfg(feature = <span class="string">"simd_support"</span>)] |
| </span><span class="macro">float_impls! </span>{ f32x16, u32x16, f32, u32, <span class="number">23</span>, <span class="number">127 </span>} |
| |
| <span class="attribute">#[cfg(feature = <span class="string">"simd_support"</span>)] |
| </span><span class="macro">float_impls! </span>{ f64x2, u64x2, f64, u64, <span class="number">52</span>, <span class="number">1023 </span>} |
| <span class="attribute">#[cfg(feature = <span class="string">"simd_support"</span>)] |
| </span><span class="macro">float_impls! </span>{ f64x4, u64x4, f64, u64, <span class="number">52</span>, <span class="number">1023 </span>} |
| <span class="attribute">#[cfg(feature = <span class="string">"simd_support"</span>)] |
| </span><span class="macro">float_impls! </span>{ f64x8, u64x8, f64, u64, <span class="number">52</span>, <span class="number">1023 </span>} |
| |
| |
| <span class="attribute">#[cfg(test)] |
| </span><span class="kw">mod </span>tests { |
| <span class="kw">use super</span>::<span class="kw-2">*</span>; |
| <span class="kw">use </span><span class="kw">crate</span>::rngs::mock::StepRng; |
| |
| <span class="kw">const </span>EPSILON32: f32 = ::core::f32::EPSILON; |
| <span class="kw">const </span>EPSILON64: f64 = ::core::f64::EPSILON; |
| |
| <span class="macro">macro_rules! </span>test_f32 { |
| (<span class="macro-nonterminal">$fnn</span>:ident, <span class="macro-nonterminal">$ty</span>:ident, <span class="macro-nonterminal">$ZERO</span>:expr, <span class="macro-nonterminal">$EPSILON</span>:expr) => { |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span><span class="macro-nonterminal">$fnn</span>() { |
| <span class="comment">// Standard |
| </span><span class="kw">let </span><span class="kw-2">mut </span>zeros = StepRng::new(<span class="number">0</span>, <span class="number">0</span>); |
| <span class="macro">assert_eq!</span>(zeros.gen::<<span class="macro-nonterminal">$ty</span>>(), <span class="macro-nonterminal">$ZERO</span>); |
| <span class="kw">let </span><span class="kw-2">mut </span>one = StepRng::new(<span class="number">1 </span><< <span class="number">8 </span>| <span class="number">1 </span><< (<span class="number">8 </span>+ <span class="number">32</span>), <span class="number">0</span>); |
| <span class="macro">assert_eq!</span>(one.gen::<<span class="macro-nonterminal">$ty</span>>(), <span class="macro-nonterminal">$EPSILON </span>/ <span class="number">2.0</span>); |
| <span class="kw">let </span><span class="kw-2">mut </span>max = StepRng::new(!<span class="number">0</span>, <span class="number">0</span>); |
| <span class="macro">assert_eq!</span>(max.gen::<<span class="macro-nonterminal">$ty</span>>(), <span class="number">1.0 </span>- <span class="macro-nonterminal">$EPSILON </span>/ <span class="number">2.0</span>); |
| |
| <span class="comment">// OpenClosed01 |
| </span><span class="kw">let </span><span class="kw-2">mut </span>zeros = StepRng::new(<span class="number">0</span>, <span class="number">0</span>); |
| <span class="macro">assert_eq!</span>(zeros.sample::<<span class="macro-nonterminal">$ty</span>, <span class="kw">_</span>>(OpenClosed01), <span class="number">0.0 </span>+ <span class="macro-nonterminal">$EPSILON </span>/ <span class="number">2.0</span>); |
| <span class="kw">let </span><span class="kw-2">mut </span>one = StepRng::new(<span class="number">1 </span><< <span class="number">8 </span>| <span class="number">1 </span><< (<span class="number">8 </span>+ <span class="number">32</span>), <span class="number">0</span>); |
| <span class="macro">assert_eq!</span>(one.sample::<<span class="macro-nonterminal">$ty</span>, <span class="kw">_</span>>(OpenClosed01), <span class="macro-nonterminal">$EPSILON</span>); |
| <span class="kw">let </span><span class="kw-2">mut </span>max = StepRng::new(!<span class="number">0</span>, <span class="number">0</span>); |
| <span class="macro">assert_eq!</span>(max.sample::<<span class="macro-nonterminal">$ty</span>, <span class="kw">_</span>>(OpenClosed01), <span class="macro-nonterminal">$ZERO </span>+ <span class="number">1.0</span>); |
| |
| <span class="comment">// Open01 |
| </span><span class="kw">let </span><span class="kw-2">mut </span>zeros = StepRng::new(<span class="number">0</span>, <span class="number">0</span>); |
| <span class="macro">assert_eq!</span>(zeros.sample::<<span class="macro-nonterminal">$ty</span>, <span class="kw">_</span>>(Open01), <span class="number">0.0 </span>+ <span class="macro-nonterminal">$EPSILON </span>/ <span class="number">2.0</span>); |
| <span class="kw">let </span><span class="kw-2">mut </span>one = StepRng::new(<span class="number">1 </span><< <span class="number">9 </span>| <span class="number">1 </span><< (<span class="number">9 </span>+ <span class="number">32</span>), <span class="number">0</span>); |
| <span class="macro">assert_eq!</span>(one.sample::<<span class="macro-nonterminal">$ty</span>, <span class="kw">_</span>>(Open01), <span class="macro-nonterminal">$EPSILON </span>/ <span class="number">2.0 </span>* <span class="number">3.0</span>); |
| <span class="kw">let </span><span class="kw-2">mut </span>max = StepRng::new(!<span class="number">0</span>, <span class="number">0</span>); |
| <span class="macro">assert_eq!</span>(max.sample::<<span class="macro-nonterminal">$ty</span>, <span class="kw">_</span>>(Open01), <span class="number">1.0 </span>- <span class="macro-nonterminal">$EPSILON </span>/ <span class="number">2.0</span>); |
| } |
| }; |
| } |
| <span class="macro">test_f32! </span>{ f32_edge_cases, f32, <span class="number">0.0</span>, EPSILON32 } |
| <span class="attribute">#[cfg(feature = <span class="string">"simd_support"</span>)] |
| </span><span class="macro">test_f32! </span>{ f32x2_edge_cases, f32x2, f32x2::splat(<span class="number">0.0</span>), f32x2::splat(EPSILON32) } |
| <span class="attribute">#[cfg(feature = <span class="string">"simd_support"</span>)] |
| </span><span class="macro">test_f32! </span>{ f32x4_edge_cases, f32x4, f32x4::splat(<span class="number">0.0</span>), f32x4::splat(EPSILON32) } |
| <span class="attribute">#[cfg(feature = <span class="string">"simd_support"</span>)] |
| </span><span class="macro">test_f32! </span>{ f32x8_edge_cases, f32x8, f32x8::splat(<span class="number">0.0</span>), f32x8::splat(EPSILON32) } |
| <span class="attribute">#[cfg(feature = <span class="string">"simd_support"</span>)] |
| </span><span class="macro">test_f32! </span>{ f32x16_edge_cases, f32x16, f32x16::splat(<span class="number">0.0</span>), f32x16::splat(EPSILON32) } |
| |
| <span class="macro">macro_rules! </span>test_f64 { |
| (<span class="macro-nonterminal">$fnn</span>:ident, <span class="macro-nonterminal">$ty</span>:ident, <span class="macro-nonterminal">$ZERO</span>:expr, <span class="macro-nonterminal">$EPSILON</span>:expr) => { |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span><span class="macro-nonterminal">$fnn</span>() { |
| <span class="comment">// Standard |
| </span><span class="kw">let </span><span class="kw-2">mut </span>zeros = StepRng::new(<span class="number">0</span>, <span class="number">0</span>); |
| <span class="macro">assert_eq!</span>(zeros.gen::<<span class="macro-nonterminal">$ty</span>>(), <span class="macro-nonterminal">$ZERO</span>); |
| <span class="kw">let </span><span class="kw-2">mut </span>one = StepRng::new(<span class="number">1 </span><< <span class="number">11</span>, <span class="number">0</span>); |
| <span class="macro">assert_eq!</span>(one.gen::<<span class="macro-nonterminal">$ty</span>>(), <span class="macro-nonterminal">$EPSILON </span>/ <span class="number">2.0</span>); |
| <span class="kw">let </span><span class="kw-2">mut </span>max = StepRng::new(!<span class="number">0</span>, <span class="number">0</span>); |
| <span class="macro">assert_eq!</span>(max.gen::<<span class="macro-nonterminal">$ty</span>>(), <span class="number">1.0 </span>- <span class="macro-nonterminal">$EPSILON </span>/ <span class="number">2.0</span>); |
| |
| <span class="comment">// OpenClosed01 |
| </span><span class="kw">let </span><span class="kw-2">mut </span>zeros = StepRng::new(<span class="number">0</span>, <span class="number">0</span>); |
| <span class="macro">assert_eq!</span>(zeros.sample::<<span class="macro-nonterminal">$ty</span>, <span class="kw">_</span>>(OpenClosed01), <span class="number">0.0 </span>+ <span class="macro-nonterminal">$EPSILON </span>/ <span class="number">2.0</span>); |
| <span class="kw">let </span><span class="kw-2">mut </span>one = StepRng::new(<span class="number">1 </span><< <span class="number">11</span>, <span class="number">0</span>); |
| <span class="macro">assert_eq!</span>(one.sample::<<span class="macro-nonterminal">$ty</span>, <span class="kw">_</span>>(OpenClosed01), <span class="macro-nonterminal">$EPSILON</span>); |
| <span class="kw">let </span><span class="kw-2">mut </span>max = StepRng::new(!<span class="number">0</span>, <span class="number">0</span>); |
| <span class="macro">assert_eq!</span>(max.sample::<<span class="macro-nonterminal">$ty</span>, <span class="kw">_</span>>(OpenClosed01), <span class="macro-nonterminal">$ZERO </span>+ <span class="number">1.0</span>); |
| |
| <span class="comment">// Open01 |
| </span><span class="kw">let </span><span class="kw-2">mut </span>zeros = StepRng::new(<span class="number">0</span>, <span class="number">0</span>); |
| <span class="macro">assert_eq!</span>(zeros.sample::<<span class="macro-nonterminal">$ty</span>, <span class="kw">_</span>>(Open01), <span class="number">0.0 </span>+ <span class="macro-nonterminal">$EPSILON </span>/ <span class="number">2.0</span>); |
| <span class="kw">let </span><span class="kw-2">mut </span>one = StepRng::new(<span class="number">1 </span><< <span class="number">12</span>, <span class="number">0</span>); |
| <span class="macro">assert_eq!</span>(one.sample::<<span class="macro-nonterminal">$ty</span>, <span class="kw">_</span>>(Open01), <span class="macro-nonterminal">$EPSILON </span>/ <span class="number">2.0 </span>* <span class="number">3.0</span>); |
| <span class="kw">let </span><span class="kw-2">mut </span>max = StepRng::new(!<span class="number">0</span>, <span class="number">0</span>); |
| <span class="macro">assert_eq!</span>(max.sample::<<span class="macro-nonterminal">$ty</span>, <span class="kw">_</span>>(Open01), <span class="number">1.0 </span>- <span class="macro-nonterminal">$EPSILON </span>/ <span class="number">2.0</span>); |
| } |
| }; |
| } |
| <span class="macro">test_f64! </span>{ f64_edge_cases, f64, <span class="number">0.0</span>, EPSILON64 } |
| <span class="attribute">#[cfg(feature = <span class="string">"simd_support"</span>)] |
| </span><span class="macro">test_f64! </span>{ f64x2_edge_cases, f64x2, f64x2::splat(<span class="number">0.0</span>), f64x2::splat(EPSILON64) } |
| <span class="attribute">#[cfg(feature = <span class="string">"simd_support"</span>)] |
| </span><span class="macro">test_f64! </span>{ f64x4_edge_cases, f64x4, f64x4::splat(<span class="number">0.0</span>), f64x4::splat(EPSILON64) } |
| <span class="attribute">#[cfg(feature = <span class="string">"simd_support"</span>)] |
| </span><span class="macro">test_f64! </span>{ f64x8_edge_cases, f64x8, f64x8::splat(<span class="number">0.0</span>), f64x8::splat(EPSILON64) } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>value_stability() { |
| <span class="kw">fn </span>test_samples<T: Copy + core::fmt::Debug + PartialEq, D: Distribution<T>>( |
| distr: <span class="kw-2">&</span>D, zero: T, expected: <span class="kw-2">&</span>[T], |
| ) { |
| <span class="kw">let </span><span class="kw-2">mut </span>rng = <span class="kw">crate</span>::test::rng(<span class="number">0x6f44f5646c2a7334</span>); |
| <span class="kw">let </span><span class="kw-2">mut </span>buf = [zero; <span class="number">3</span>]; |
| <span class="kw">for </span>x <span class="kw">in </span><span class="kw-2">&mut </span>buf { |
| <span class="kw-2">*</span>x = rng.sample(<span class="kw-2">&</span>distr); |
| } |
| <span class="macro">assert_eq!</span>(<span class="kw-2">&</span>buf, expected); |
| } |
| |
| test_samples(<span class="kw-2">&</span>Standard, <span class="number">0f32</span>, <span class="kw-2">&</span>[<span class="number">0.0035963655</span>, <span class="number">0.7346052</span>, <span class="number">0.09778172</span>]); |
| test_samples(<span class="kw-2">&</span>Standard, <span class="number">0f64</span>, <span class="kw-2">&</span>[ |
| <span class="number">0.7346051961657583</span>, |
| <span class="number">0.20298547462974248</span>, |
| <span class="number">0.8166436635290655</span>, |
| ]); |
| |
| test_samples(<span class="kw-2">&</span>OpenClosed01, <span class="number">0f32</span>, <span class="kw-2">&</span>[<span class="number">0.003596425</span>, <span class="number">0.73460525</span>, <span class="number">0.09778178</span>]); |
| test_samples(<span class="kw-2">&</span>OpenClosed01, <span class="number">0f64</span>, <span class="kw-2">&</span>[ |
| <span class="number">0.7346051961657584</span>, |
| <span class="number">0.2029854746297426</span>, |
| <span class="number">0.8166436635290656</span>, |
| ]); |
| |
| test_samples(<span class="kw-2">&</span>Open01, <span class="number">0f32</span>, <span class="kw-2">&</span>[<span class="number">0.0035963655</span>, <span class="number">0.73460525</span>, <span class="number">0.09778172</span>]); |
| test_samples(<span class="kw-2">&</span>Open01, <span class="number">0f64</span>, <span class="kw-2">&</span>[ |
| <span class="number">0.7346051961657584</span>, |
| <span class="number">0.20298547462974248</span>, |
| <span class="number">0.8166436635290656</span>, |
| ]); |
| |
| <span class="attribute">#[cfg(feature = <span class="string">"simd_support"</span>)] |
| </span>{ |
| <span class="comment">// We only test a sub-set of types here. Values are identical to |
| // non-SIMD types; we assume this pattern continues across all |
| // SIMD types. |
| |
| </span>test_samples(<span class="kw-2">&</span>Standard, f32x2::new(<span class="number">0.0</span>, <span class="number">0.0</span>), <span class="kw-2">&</span>[ |
| f32x2::new(<span class="number">0.0035963655</span>, <span class="number">0.7346052</span>), |
| f32x2::new(<span class="number">0.09778172</span>, <span class="number">0.20298547</span>), |
| f32x2::new(<span class="number">0.34296435</span>, <span class="number">0.81664366</span>), |
| ]); |
| |
| test_samples(<span class="kw-2">&</span>Standard, f64x2::new(<span class="number">0.0</span>, <span class="number">0.0</span>), <span class="kw-2">&</span>[ |
| f64x2::new(<span class="number">0.7346051961657583</span>, <span class="number">0.20298547462974248</span>), |
| f64x2::new(<span class="number">0.8166436635290655</span>, <span class="number">0.7423708925400552</span>), |
| f64x2::new(<span class="number">0.16387782224016323</span>, <span class="number">0.9087068770169618</span>), |
| ]); |
| } |
| } |
| } |
| </code></pre></div> |
| </section></div></main><div id="rustdoc-vars" data-root-path="../../../" data-current-crate="rand" data-themes="ayu,dark,light" data-resource-suffix="" data-rustdoc-version="1.66.0-nightly (5c8bff74b 2022-10-21)" ></div></body></html> |
