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// 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. //! The Weibull distribution. #![allow(deprecated)] use crate::Rng; use crate::distributions::{Distribution, OpenClosed01}; /// Samples floating-point numbers according to the Weibull distribution #[deprecated(since="0.7.0", note="moved to rand_distr crate")] #[derive(Clone, Copy, Debug)] pub struct Weibull { inv_shape: f64, scale: f64, } impl Weibull { /// Construct a new `Weibull` distribution with given `scale` and `shape`. /// /// # Panics /// /// `scale` and `shape` have to be non-zero and positive. pub fn new(scale: f64, shape: f64) -> Weibull { assert!((scale > 0.) & (shape > 0.)); Weibull { inv_shape: 1./shape, scale } } } impl Distribution<f64> for Weibull { fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> f64 { let x: f64 = rng.sample(OpenClosed01); self.scale * (-x.ln()).powf(self.inv_shape) } } #[cfg(test)] mod tests { use crate::distributions::Distribution; use super::Weibull; #[test] #[should_panic] fn invalid() { Weibull::new(0., 0.); } #[test] fn sample() { let scale = 1.0; let shape = 2.0; let d = Weibull::new(scale, shape); let mut rng = crate::test::rng(1); for _ in 0..1000 { let r = d.sample(&mut rng); assert!(r >= 0.); } } }