commit
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@ -158,6 +158,7 @@
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//! [`Normal`]: struct.Normal.html
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//! [`Open01`]: struct.Open01.html
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//! [`OpenClosed01`]: struct.OpenClosed01.html
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//! [`Pareto`]: struct.Pareto.html
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//! [`Poisson`]: struct.Poisson.html
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//! [`Standard`]: struct.Standard.html
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//! [`StandardNormal`]: struct.StandardNormal.html
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@ -177,6 +178,8 @@ pub use self::uniform::Uniform as Range;
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#[doc(inline)] pub use self::normal::{Normal, LogNormal, StandardNormal};
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#[cfg(feature="std")]
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#[doc(inline)] pub use self::exponential::{Exp, Exp1};
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#[cfg(feature="std")]
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#[doc(inline)] pub use self::pareto::Pareto;
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#[cfg(feature = "std")]
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#[doc(inline)] pub use self::poisson::Poisson;
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#[cfg(feature = "std")]
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@ -192,6 +195,8 @@ pub mod uniform;
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#[doc(hidden)] pub mod normal;
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#[cfg(feature="std")]
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#[doc(hidden)] pub mod exponential;
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#[cfg(feature="std")]
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#[doc(hidden)] pub mod pareto;
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#[cfg(feature = "std")]
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#[doc(hidden)] pub mod poisson;
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#[cfg(feature = "std")]
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76
src/distributions/pareto.rs
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76
src/distributions/pareto.rs
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@ -0,0 +1,76 @@
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// Copyright 2018 The Rust Project Developers. See the COPYRIGHT
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// file at the top-level directory of this distribution and at
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// https://rust-lang.org/COPYRIGHT.
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//
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// Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or
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// https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
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// <LICENSE-MIT or https://opensource.org/licenses/MIT>, at your
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// option. This file may not be copied, modified, or distributed
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// except according to those terms.
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//! The Pareto distribution.
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use Rng;
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use distributions::{Distribution, OpenClosed01};
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/// Samples floating-point numbers according to the Pareto distribution
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///
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/// # Example
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/// ```
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/// use rand::prelude::*;
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/// use rand::distributions::Pareto;
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///
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/// let val: f64 = SmallRng::from_entropy().sample(Pareto::new(1., 2.));
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/// println!("{}", val);
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/// ```
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#[derive(Clone, Copy, Debug)]
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pub struct Pareto {
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scale: f64,
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inv_neg_shape: f64,
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}
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impl Pareto {
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/// Construct a new Pareto distribution with given `scale` and `shape`.
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///
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/// In the literature, `scale` is commonly written as x<sub>m</sub> or k and
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/// `shape` is often written as α.
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///
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/// # Panics
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///
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/// `scale` and `shape` have to be non-zero and positive.
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pub fn new(scale: f64, shape: f64) -> Pareto {
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assert!((scale > 0.) & (shape > 0.));
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Pareto { scale, inv_neg_shape: -1.0 / shape }
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}
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}
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impl Distribution<f64> for Pareto {
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fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> f64 {
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let u: f64 = rng.sample(OpenClosed01);
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self.scale * u.powf(self.inv_neg_shape)
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}
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}
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#[cfg(test)]
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mod tests {
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use distributions::Distribution;
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use super::Pareto;
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#[test]
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#[should_panic]
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fn invalid() {
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Pareto::new(0., 0.);
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}
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#[test]
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fn sample() {
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let scale = 1.0;
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let shape = 2.0;
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let d = Pareto::new(scale, shape);
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let mut rng = ::test::rng(1);
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for _ in 0..1000 {
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let r = d.sample(&mut rng);
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assert!(r >= scale);
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}
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}
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}
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