From d0d9683df8398696147e7ee1fcffb2e4e957008c Mon Sep 17 00:00:00 2001 From: Daniel Mueller Date: Sat, 4 Apr 2020 14:39:19 -0700 Subject: 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 --- rand/rand_distr/src/utils.rs | 234 ------------------------------------------- 1 file changed, 234 deletions(-) delete mode 100644 rand/rand_distr/src/utils.rs (limited to 'rand/rand_distr/src/utils.rs') diff --git a/rand/rand_distr/src/utils.rs b/rand/rand_distr/src/utils.rs deleted file mode 100644 index 75b3500..0000000 --- a/rand/rand_distr/src/utils.rs +++ /dev/null @@ -1,234 +0,0 @@ -// Copyright 2018 Developers of the Rand project. -// -// 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. - -//! Math helper functions - -use rand::Rng; -use crate::ziggurat_tables; -use rand::distributions::hidden_export::IntoFloat; -use core::{cmp, ops}; - -/// Trait for floating-point scalar types -/// -/// This allows many distributions to work with `f32` or `f64` parameters and is -/// potentially extensible. Note however that the `Exp1` and `StandardNormal` -/// distributions are implemented exclusively for `f32` and `f64`. -/// -/// The bounds and methods are based purely on internal -/// requirements, and will change as needed. -pub trait Float: Copy + Sized + cmp::PartialOrd - + ops::Neg - + ops::Add - + ops::Sub - + ops::Mul - + ops::Div - + ops::AddAssign + ops::SubAssign + ops::MulAssign + ops::DivAssign -{ - /// The constant π - fn pi() -> Self; - /// Support approximate representation of a f64 value - fn from(x: f64) -> Self; - /// Support converting to an unsigned integer. - fn to_u64(self) -> Option; - - /// Take the absolute value of self - fn abs(self) -> Self; - /// Take the largest integer less than or equal to self - fn floor(self) -> Self; - - /// Take the exponential of self - fn exp(self) -> Self; - /// Take the natural logarithm of self - fn ln(self) -> Self; - /// Take square root of self - fn sqrt(self) -> Self; - /// Take self to a floating-point power - fn powf(self, power: Self) -> Self; - - /// Take the tangent of self - fn tan(self) -> Self; - /// Take the logarithm of the gamma function of self - fn log_gamma(self) -> Self; -} - -impl Float for f32 { - #[inline] - fn pi() -> Self { core::f32::consts::PI } - #[inline] - fn from(x: f64) -> Self { x as f32 } - #[inline] - fn to_u64(self) -> Option { - if self >= 0. && self <= ::core::u64::MAX as f32 { - Some(self as u64) - } else { - None - } - } - - #[inline] - fn abs(self) -> Self { self.abs() } - #[inline] - fn floor(self) -> Self { self.floor() } - - #[inline] - fn exp(self) -> Self { self.exp() } - #[inline] - fn ln(self) -> Self { self.ln() } - #[inline] - fn sqrt(self) -> Self { self.sqrt() } - #[inline] - fn powf(self, power: Self) -> Self { self.powf(power) } - - #[inline] - fn tan(self) -> Self { self.tan() } - #[inline] - fn log_gamma(self) -> Self { - let result = log_gamma(self.into()); - assert!(result <= ::core::f32::MAX.into()); - assert!(result >= ::core::f32::MIN.into()); - result as f32 - } -} - -impl Float for f64 { - #[inline] - fn pi() -> Self { core::f64::consts::PI } - #[inline] - fn from(x: f64) -> Self { x } - #[inline] - fn to_u64(self) -> Option { - if self >= 0. && self <= ::core::u64::MAX as f64 { - Some(self as u64) - } else { - None - } - } - - #[inline] - fn abs(self) -> Self { self.abs() } - #[inline] - fn floor(self) -> Self { self.floor() } - - #[inline] - fn exp(self) -> Self { self.exp() } - #[inline] - fn ln(self) -> Self { self.ln() } - #[inline] - fn sqrt(self) -> Self { self.sqrt() } - #[inline] - fn powf(self, power: Self) -> Self { self.powf(power) } - - #[inline] - fn tan(self) -> Self { self.tan() } - #[inline] - fn log_gamma(self) -> Self { log_gamma(self) } -} - -/// Calculates ln(gamma(x)) (natural logarithm of the gamma -/// function) using the Lanczos approximation. -/// -/// The approximation expresses the gamma function as: -/// `gamma(z+1) = sqrt(2*pi)*(z+g+0.5)^(z+0.5)*exp(-z-g-0.5)*Ag(z)` -/// `g` is an arbitrary constant; we use the approximation with `g=5`. -/// -/// Noting that `gamma(z+1) = z*gamma(z)` and applying `ln` to both sides: -/// `ln(gamma(z)) = (z+0.5)*ln(z+g+0.5)-(z+g+0.5) + ln(sqrt(2*pi)*Ag(z)/z)` -/// -/// `Ag(z)` is an infinite series with coefficients that can be calculated -/// ahead of time - we use just the first 6 terms, which is good enough -/// for most purposes. -pub(crate) fn log_gamma(x: f64) -> f64 { - // precalculated 6 coefficients for the first 6 terms of the series - let coefficients: [f64; 6] = [ - 76.18009172947146, - -86.50532032941677, - 24.01409824083091, - -1.231739572450155, - 0.1208650973866179e-2, - -0.5395239384953e-5, - ]; - - // (x+0.5)*ln(x+g+0.5)-(x+g+0.5) - let tmp = x + 5.5; - let log = (x + 0.5) * tmp.ln() - tmp; - - // the first few terms of the series for Ag(x) - let mut a = 1.000000000190015; - let mut denom = x; - for &coeff in &coefficients { - denom += 1.0; - a += coeff / denom; - } - - // get everything together - // a is Ag(x) - // 2.5066... is sqrt(2pi) - log + (2.5066282746310005 * a / x).ln() -} - -/// Sample a random number using the Ziggurat method (specifically the -/// ZIGNOR variant from Doornik 2005). Most of the arguments are -/// directly from the paper: -/// -/// * `rng`: source of randomness -/// * `symmetric`: whether this is a symmetric distribution, or one-sided with P(x < 0) = 0. -/// * `X`: the $x_i$ abscissae. -/// * `F`: precomputed values of the PDF at the $x_i$, (i.e. $f(x_i)$) -/// * `F_DIFF`: precomputed values of $f(x_i) - f(x_{i+1})$ -/// * `pdf`: the probability density function -/// * `zero_case`: manual sampling from the tail when we chose the -/// bottom box (i.e. i == 0) - -// the perf improvement (25-50%) is definitely worth the extra code -// size from force-inlining. -#[inline(always)] -pub(crate) fn ziggurat( - rng: &mut R, - symmetric: bool, - x_tab: ziggurat_tables::ZigTable, - f_tab: ziggurat_tables::ZigTable, - mut pdf: P, - mut zero_case: Z) - -> f64 where P: FnMut(f64) -> f64, Z: FnMut(&mut R, f64) -> f64 { - loop { - // As an optimisation we re-implement the conversion to a f64. - // From the remaining 12 most significant bits we use 8 to construct `i`. - // This saves us generating a whole extra random number, while the added - // precision of using 64 bits for f64 does not buy us much. - let bits = rng.next_u64(); - let i = bits as usize & 0xff; - - let u = if symmetric { - // Convert to a value in the range [2,4) and substract to get [-1,1) - // We can't convert to an open range directly, that would require - // substracting `3.0 - EPSILON`, which is not representable. - // It is possible with an extra step, but an open range does not - // seem neccesary for the ziggurat algorithm anyway. - (bits >> 12).into_float_with_exponent(1) - 3.0 - } else { - // Convert to a value in the range [1,2) and substract to get (0,1) - (bits >> 12).into_float_with_exponent(0) - - (1.0 - std::f64::EPSILON / 2.0) - }; - let x = u * x_tab[i]; - - let test_x = if symmetric { x.abs() } else {x}; - - // algebraically equivalent to |u| < x_tab[i+1]/x_tab[i] (or u < x_tab[i+1]/x_tab[i]) - if test_x < x_tab[i + 1] { - return x; - } - if i == 0 { - return zero_case(rng, u); - } - // algebraically equivalent to f1 + DRanU()*(f0 - f1) < 1 - if f_tab[i + 1] + (f_tab[i] - f_tab[i + 1]) * rng.gen::() < pdf(x) { - return x; - } - } -} -- cgit v1.2.1