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authorDaniel Mueller <deso@posteo.net>2020-04-04 14:39:19 -0700
committerDaniel Mueller <deso@posteo.net>2020-04-04 14:39:19 -0700
commitd0d9683df8398696147e7ee1fcffb2e4e957008c (patch)
tree4baa76712a76f4d072ee3936c07956580b230820 /rand/src/distributions/cauchy.rs
parent203e691f46d591a2cc8acdfd850fa9f5b0fb8a98 (diff)
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Remove vendored dependencies
While it appears that by now we actually can get successful builds without Cargo insisting on Internet access by virtue of using the --frozen flag, maintaining vendored dependencies is somewhat of a pain point. This state will also get worse with upcoming changes that replace argparse in favor of structopt and pull in a slew of new dependencies by doing so. Then there is also the repository structure aspect, which is non-standard due to the way we vendor dependencies and a potential source of confusion. In order to fix these problems, this change removes all the vendored dependencies we have. Delete subrepo argparse/:argparse Delete subrepo base32/:base32 Delete subrepo cc/:cc Delete subrepo cfg-if/:cfg-if Delete subrepo getrandom/:getrandom Delete subrepo lazy-static/:lazy-static Delete subrepo libc/:libc Delete subrepo nitrokey-sys/:nitrokey-sys Delete subrepo nitrokey/:nitrokey Delete subrepo rand/:rand
Diffstat (limited to 'rand/src/distributions/cauchy.rs')
-rw-r--r--rand/src/distributions/cauchy.rs103
1 files changed, 0 insertions, 103 deletions
diff --git a/rand/src/distributions/cauchy.rs b/rand/src/distributions/cauchy.rs
deleted file mode 100644
index 0a5d149..0000000
--- a/rand/src/distributions/cauchy.rs
+++ /dev/null
@@ -1,103 +0,0 @@
-// Copyright 2018 Developers of the Rand project.
-// Copyright 2016-2017 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 Cauchy distribution.
-#![allow(deprecated)]
-#![allow(clippy::all)]
-
-use crate::Rng;
-use crate::distributions::Distribution;
-use std::f64::consts::PI;
-
-/// The Cauchy distribution `Cauchy(median, scale)`.
-///
-/// This distribution has a density function:
-/// `f(x) = 1 / (pi * scale * (1 + ((x - median) / scale)^2))`
-#[deprecated(since="0.7.0", note="moved to rand_distr crate")]
-#[derive(Clone, Copy, Debug)]
-pub struct Cauchy {
- median: f64,
- scale: f64
-}
-
-impl Cauchy {
- /// Construct a new `Cauchy` with the given shape parameters
- /// `median` the peak location and `scale` the scale factor.
- /// Panics if `scale <= 0`.
- pub fn new(median: f64, scale: f64) -> Cauchy {
- assert!(scale > 0.0, "Cauchy::new called with scale factor <= 0");
- Cauchy {
- median,
- scale
- }
- }
-}
-
-impl Distribution<f64> for Cauchy {
- fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> f64 {
- // sample from [0, 1)
- let x = rng.gen::<f64>();
- // get standard cauchy random number
- // note that π/2 is not exactly representable, even if x=0.5 the result is finite
- let comp_dev = (PI * x).tan();
- // shift and scale according to parameters
- let result = self.median + self.scale * comp_dev;
- result
- }
-}
-
-#[cfg(test)]
-mod test {
- use crate::distributions::Distribution;
- use super::Cauchy;
-
- fn median(mut numbers: &mut [f64]) -> f64 {
- sort(&mut numbers);
- let mid = numbers.len() / 2;
- numbers[mid]
- }
-
- fn sort(numbers: &mut [f64]) {
- numbers.sort_by(|a, b| a.partial_cmp(b).unwrap());
- }
-
- #[test]
- #[cfg(not(miri))] // Miri doesn't support transcendental functions
- fn test_cauchy_averages() {
- // NOTE: given that the variance and mean are undefined,
- // this test does not have any rigorous statistical meaning.
- let cauchy = Cauchy::new(10.0, 5.0);
- let mut rng = crate::test::rng(123);
- let mut numbers: [f64; 1000] = [0.0; 1000];
- let mut sum = 0.0;
- for i in 0..1000 {
- numbers[i] = cauchy.sample(&mut rng);
- sum += numbers[i];
- }
- let median = median(&mut numbers);
- println!("Cauchy median: {}", median);
- assert!((median - 10.0).abs() < 0.4); // not 100% certain, but probable enough
- let mean = sum / 1000.0;
- println!("Cauchy mean: {}", mean);
- // for a Cauchy distribution the mean should not converge
- assert!((mean - 10.0).abs() > 0.4); // not 100% certain, but probable enough
- }
-
- #[test]
- #[should_panic]
- fn test_cauchy_invalid_scale_zero() {
- Cauchy::new(0.0, 0.0);
- }
-
- #[test]
- #[should_panic]
- fn test_cauchy_invalid_scale_neg() {
- Cauchy::new(0.0, -10.0);
- }
-}