1 files changed, 0 insertions, 89 deletions
diff --git a/rand/rand_distr/src/pareto.rs b/rand/rand_distr/src/pareto.rs
deleted file mode 100644
index 33ea382..0000000
--- a/rand/rand_distr/src/pareto.rs
+++ /dev/null
@@ -1,89 +0,0 @@
-// 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 Pareto distribution.
-
-use rand::Rng;
-use crate::{Distribution, OpenClosed01};
-use crate::utils::Float;
-
-/// Samples floating-point numbers according to the Pareto distribution
-///
-/// # Example
-/// ```
-/// use rand::prelude::*;
-/// use rand_distr::Pareto;
-///
-/// let val: f64 = thread_rng().sample(Pareto::new(1., 2.).unwrap());
-/// println!("{}", val);
-/// ```
-#[derive(Clone, Copy, Debug)]
-pub struct Pareto<N> {
-    scale: N,
-    inv_neg_shape: N,
-}
-
-/// Error type returned from `Pareto::new`.
-#[derive(Clone, Copy, Debug, PartialEq, Eq)]
-pub enum Error {
-    /// `scale <= 0` or `nan`.
-    ScaleTooSmall,
-    /// `shape <= 0` or `nan`.
-    ShapeTooSmall,
-}
-
-impl<N: Float> Pareto<N>
-where OpenClosed01: Distribution<N>
-{
-    /// Construct a new Pareto distribution with given `scale` and `shape`.
-    ///
-    /// In the literature, `scale` is commonly written as x<sub>m</sub> or k and
-    /// `shape` is often written as α.
-    pub fn new(scale: N, shape: N) -> Result<Pareto<N>, Error> {
-        if !(scale > N::from(0.0)) {
-            return Err(Error::ScaleTooSmall);
-        }
-        if !(shape > N::from(0.0)) {
-            return Err(Error::ShapeTooSmall);
-        }
-        Ok(Pareto { scale, inv_neg_shape: N::from(-1.0) / shape })
-    }
-}
-
-impl<N: Float> Distribution<N> for Pareto<N>
-where OpenClosed01: Distribution<N>
-{
-    fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> N {
-        let u: N = OpenClosed01.sample(rng);
-        self.scale * u.powf(self.inv_neg_shape)
-    }
-}
-
-#[cfg(test)]
-mod tests {
-    use crate::Distribution;
-    use super::Pareto;
-
-    #[test]
-    #[should_panic]
-    fn invalid() {
-        Pareto::new(0., 0.).unwrap();
-    }
-
-    #[test]
-    fn sample() {
-        let scale = 1.0;
-        let shape = 2.0;
-        let d = Pareto::new(scale, shape).unwrap();
-        let mut rng = crate::test::rng(1);
-        for _ in 0..1000 {
-            let r = d.sample(&mut rng);
-            assert!(r >= scale);
-        }
-    }
-}