// except according to those terms.
//! The exponential distribution.
+#![allow(deprecated)]
-use {Rng};
-use distributions::{ziggurat_tables, Distribution};
-use distributions::utils::ziggurat;
+use crate::{Rng};
+use crate::distributions::{ziggurat_tables, Distribution};
+use crate::distributions::utils::ziggurat;
/// Samples floating-point numbers according to the exponential distribution,
/// with rate parameter `λ = 1`. This is equivalent to `Exp::new(1.0)` or
/// Generate Normal Random Samples*](
/// https://www.doornik.com/research/ziggurat.pdf).
/// Nuffield College, Oxford
-///
-/// # Example
-/// ```
-/// use rand::prelude::*;
-/// use rand::distributions::Exp1;
-///
-/// let val: f64 = SmallRng::from_entropy().sample(Exp1);
-/// println!("{}", val);
-/// ```
+#[deprecated(since="0.7.0", note="moved to rand_distr crate")]
#[derive(Clone, Copy, Debug)]
pub struct Exp1;
/// for `x > 0`.
///
/// Note that [`Exp1`][crate::distributions::Exp1] is an optimised implementation for `lambda = 1`.
-///
-/// # Example
-///
-/// ```
-/// use rand::distributions::{Exp, Distribution};
-///
-/// let exp = Exp::new(2.0);
-/// let v = exp.sample(&mut rand::thread_rng());
-/// println!("{} is from a Exp(2) distribution", v);
-/// ```
+#[deprecated(since="0.7.0", note="moved to rand_distr crate")]
#[derive(Clone, Copy, Debug)]
pub struct Exp {
/// `lambda` stored as `1/lambda`, since this is what we scale by.
#[cfg(test)]
mod test {
- use distributions::Distribution;
+ use crate::distributions::Distribution;
use super::Exp;
#[test]
fn test_exp() {
let exp = Exp::new(10.0);
- let mut rng = ::test::rng(221);
+ let mut rng = crate::test::rng(221);
for _ in 0..1000 {
assert!(exp.sample(&mut rng) >= 0.0);
}