From a990de90fe41456a23e58bd087d2f107d321f3a1 Mon Sep 17 00:00:00 2001 From: Valentin Popov Date: Fri, 19 Jul 2024 16:37:58 +0400 Subject: Deleted vendor folder --- vendor/rand/src/distributions/exponential.rs | 124 --------------------------- 1 file changed, 124 deletions(-) delete mode 100644 vendor/rand/src/distributions/exponential.rs (limited to 'vendor/rand/src/distributions/exponential.rs') diff --git a/vendor/rand/src/distributions/exponential.rs b/vendor/rand/src/distributions/exponential.rs deleted file mode 100644 index c3c924c..0000000 --- a/vendor/rand/src/distributions/exponential.rs +++ /dev/null @@ -1,124 +0,0 @@ -// Copyright 2013 The Rust Project Developers. See the COPYRIGHT -// file at the top-level directory of this distribution and at -// http://rust-lang.org/COPYRIGHT. -// -// Licensed under the Apache License, Version 2.0 or the MIT license -// , at your -// option. This file may not be copied, modified, or distributed -// except according to those terms. - -//! The exponential distribution. - -use {Rng, Rand}; -use distributions::{ziggurat, ziggurat_tables, Sample, IndependentSample}; - -/// A wrapper around an `f64` to generate Exp(1) random numbers. -/// -/// See `Exp` for the general exponential distribution. -/// -/// Implemented via the ZIGNOR variant[1] of the Ziggurat method. The -/// exact description in the paper was adjusted to use tables for the -/// exponential distribution rather than normal. -/// -/// [1]: Jurgen A. Doornik (2005). [*An Improved Ziggurat Method to -/// Generate Normal Random -/// Samples*](http://www.doornik.com/research/ziggurat.pdf). Nuffield -/// College, Oxford -/// -/// # Example -/// -/// ```rust -/// use rand::distributions::exponential::Exp1; -/// -/// let Exp1(x) = rand::random(); -/// println!("{}", x); -/// ``` -#[derive(Clone, Copy, Debug)] -pub struct Exp1(pub f64); - -// This could be done via `-rng.gen::().ln()` but that is slower. -impl Rand for Exp1 { - #[inline] - fn rand(rng: &mut R) -> Exp1 { - #[inline] - fn pdf(x: f64) -> f64 { - (-x).exp() - } - #[inline] - fn zero_case(rng: &mut R, _u: f64) -> f64 { - ziggurat_tables::ZIG_EXP_R - rng.gen::().ln() - } - - Exp1(ziggurat(rng, false, - &ziggurat_tables::ZIG_EXP_X, - &ziggurat_tables::ZIG_EXP_F, - pdf, zero_case)) - } -} - -/// The exponential distribution `Exp(lambda)`. -/// -/// This distribution has density function: `f(x) = lambda * -/// exp(-lambda * x)` for `x > 0`. -/// -/// # Example -/// -/// ```rust -/// use rand::distributions::{Exp, IndependentSample}; -/// -/// let exp = Exp::new(2.0); -/// let v = exp.ind_sample(&mut rand::thread_rng()); -/// println!("{} is from a Exp(2) distribution", v); -/// ``` -#[derive(Clone, Copy, Debug)] -pub struct Exp { - /// `lambda` stored as `1/lambda`, since this is what we scale by. - lambda_inverse: f64 -} - -impl Exp { - /// Construct a new `Exp` with the given shape parameter - /// `lambda`. Panics if `lambda <= 0`. - #[inline] - pub fn new(lambda: f64) -> Exp { - assert!(lambda > 0.0, "Exp::new called with `lambda` <= 0"); - Exp { lambda_inverse: 1.0 / lambda } - } -} - -impl Sample for Exp { - fn sample(&mut self, rng: &mut R) -> f64 { self.ind_sample(rng) } -} -impl IndependentSample for Exp { - fn ind_sample(&self, rng: &mut R) -> f64 { - let Exp1(n) = rng.gen::(); - n * self.lambda_inverse - } -} - -#[cfg(test)] -mod test { - use distributions::{Sample, IndependentSample}; - use super::Exp; - - #[test] - fn test_exp() { - let mut exp = Exp::new(10.0); - let mut rng = ::test::rng(); - for _ in 0..1000 { - assert!(exp.sample(&mut rng) >= 0.0); - assert!(exp.ind_sample(&mut rng) >= 0.0); - } - } - #[test] - #[should_panic] - fn test_exp_invalid_lambda_zero() { - Exp::new(0.0); - } - #[test] - #[should_panic] - fn test_exp_invalid_lambda_neg() { - Exp::new(-10.0); - } -} -- cgit v1.2.3