1 files changed, 0 insertions, 128 deletions
diff --git a/rand/src/distributions/dirichlet.rs b/rand/src/distributions/dirichlet.rs
deleted file mode 100644
index 1ce01fd..0000000
--- a/rand/src/distributions/dirichlet.rs
+++ /dev/null
@@ -1,128 +0,0 @@
-// Copyright 2018 Developers of the Rand project.
-// Copyright 2013 The Rust Project Developers.
-//
-// 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 dirichlet distribution.
-#![allow(deprecated)]
-#![allow(clippy::all)]
-
-use crate::Rng;
-use crate::distributions::Distribution;
-use crate::distributions::gamma::Gamma;
-
-/// The dirichelet distribution `Dirichlet(alpha)`.
-///
-/// The Dirichlet distribution is a family of continuous multivariate
-/// probability distributions parameterized by a vector alpha of positive reals.
-/// It is a multivariate generalization of the beta distribution.
-#[deprecated(since="0.7.0", note="moved to rand_distr crate")]
-#[derive(Clone, Debug)]
-pub struct Dirichlet {
-    /// Concentration parameters (alpha)
-    alpha: Vec<f64>,
-}
-
-impl Dirichlet {
-    /// Construct a new `Dirichlet` with the given alpha parameter `alpha`.
-    ///
-    /// # Panics
-    /// - if `alpha.len() < 2`
-    ///
-    #[inline]
-    pub fn new<V: Into<Vec<f64>>>(alpha: V) -> Dirichlet {
-        let a = alpha.into();
-        assert!(a.len() > 1);
-        for i in 0..a.len() {
-            assert!(a[i] > 0.0);
-        }
-
-        Dirichlet { alpha: a }
-    }
-
-    /// Construct a new `Dirichlet` with the given shape parameter `alpha` and `size`.
-    ///
-    /// # Panics
-    /// - if `alpha <= 0.0`
-    /// - if `size < 2`
-    ///
-    #[inline]
-    pub fn new_with_param(alpha: f64, size: usize) -> Dirichlet {
-        assert!(alpha > 0.0);
-        assert!(size > 1);
-        Dirichlet {
-            alpha: vec![alpha; size],
-        }
-    }
-}
-
-impl Distribution<Vec<f64>> for Dirichlet {
-    fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> Vec<f64> {
-        let n = self.alpha.len();
-        let mut samples = vec![0.0f64; n];
-        let mut sum = 0.0f64;
-
-        for i in 0..n {
-            let g = Gamma::new(self.alpha[i], 1.0);
-            samples[i] = g.sample(rng);
-            sum += samples[i];
-        }
-        let invacc = 1.0 / sum;
-        for i in 0..n {
-            samples[i] *= invacc;
-        }
-        samples
-    }
-}
-
-#[cfg(test)]
-mod test {
-    use super::Dirichlet;
-    use crate::distributions::Distribution;
-
-    #[test]
-    fn test_dirichlet() {
-        let d = Dirichlet::new(vec![1.0, 2.0, 3.0]);
-        let mut rng = crate::test::rng(221);
-        let samples = d.sample(&mut rng);
-        let _: Vec<f64> = samples
-            .into_iter()
-            .map(|x| {
-                assert!(x > 0.0);
-                x
-            })
-            .collect();
-    }
-
-    #[test]
-    fn test_dirichlet_with_param() {
-        let alpha = 0.5f64;
-        let size = 2;
-        let d = Dirichlet::new_with_param(alpha, size);
-        let mut rng = crate::test::rng(221);
-        let samples = d.sample(&mut rng);
-        let _: Vec<f64> = samples
-            .into_iter()
-            .map(|x| {
-                assert!(x > 0.0);
-                x
-            })
-            .collect();
-    }
-
-    #[test]
-    #[should_panic]
-    fn test_dirichlet_invalid_length() {
-        Dirichlet::new_with_param(0.5f64, 1);
-    }
-
-    #[test]
-    #[should_panic]
-    fn test_dirichlet_invalid_alpha() {
-        Dirichlet::new_with_param(0.0f64, 2);
-    }
-}