1 files changed, 0 insertions, 59 deletions
diff --git a/rand/rand_distr/tests/uniformity.rs b/rand/rand_distr/tests/uniformity.rs
deleted file mode 100644
index d0d9d97..0000000
--- a/rand/rand_distr/tests/uniformity.rs
+++ /dev/null
@@ -1,59 +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.
-
-use average::Histogram;
-use rand::prelude::*;
-
-const N_BINS: usize = 100;
-const N_SAMPLES: u32 = 1_000_000;
-const TOL: f64 = 1e-3;
-average::define_histogram!(hist, 100);
-use hist::Histogram as Histogram100;
-
-#[test]
-fn unit_sphere() {
-    const N_DIM: usize = 3;
-    let h = Histogram100::with_const_width(-1., 1.);
-    let mut histograms = [h.clone(), h.clone(), h];
-    let dist = rand_distr::UnitSphere;
-    let mut rng = rand_pcg::Pcg32::from_entropy();
-    for _ in 0..N_SAMPLES {
-        let v: [f64; 3] = dist.sample(&mut rng);
-        for i in 0..N_DIM {
-            histograms[i].add(v[i]).map_err(
-                |e| { println!("v: {}", v[i]); e }
-            ).unwrap();
-        }
-    }
-    for h in &histograms {
-        let sum: u64 = h.bins().iter().sum();
-        println!("{:?}", h);
-        for &b in h.bins() {
-            let p = (b as f64) / (sum as f64);
-            assert!((p - 1.0 / (N_BINS as f64)).abs() < TOL, "{}", p);
-        }
-    }
-}
-
-#[test]
-fn unit_circle() {
-    use std::f64::consts::PI;
-    let mut h = Histogram100::with_const_width(-PI, PI);
-    let dist = rand_distr::UnitCircle;
-    let mut rng = rand_pcg::Pcg32::from_entropy();
-    for _ in 0..N_SAMPLES {
-        let v: [f64; 2] = dist.sample(&mut rng);
-        h.add(v[0].atan2(v[1])).unwrap();
-    }
-    let sum: u64 = h.bins().iter().sum();
-    println!("{:?}", h);
-    for &b in h.bins() {
-        let p = (b as f64) / (sum as f64);
-        assert!((p - 1.0 / (N_BINS as f64)).abs() < TOL, "{}", p);
-    }
-}